Artículos de revistas sobre el tema "Kalmar country"
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1
Chen, Yuanying, Vladimir Cvetkovic y Georgia Destouni. "Scenarios of Nutrient-Related Solute Loading and Transport Fate from Different Land Catchments and Coasts into the Baltic Sea". Water 11, n.º 7 (9 de julio de 2019): 1407. http://dx.doi.org/10.3390/w11071407.
Resumen
This study uses controlled numerical experimentation to comparatively simulate and investigate solute transport and concentration responses and patterns in the Baltic Sea for various solute releases from the land through two different coastal cases. These cases are the Swedish Kalmar County coast and the Polish coast of the Vistula River outlet. For equivalent solute releases, the coastal flow conditions and their interactions with main marine currents determine the local coastal solute spreading, while the overall spreading over the Baltic Sea is similar for the two coastal cases, despite their large local differences. For nutrient-proportional solute release scenarios, the highly-populated Vistula catchment yields much greater total, but smaller per-capita nutrient impacts, in the Baltic Sea than the Kalmar County catchment. To be as low as from the Vistula catchment, the per-capita nutrient contribution from Kalmar County would have to be reduced much more than required on average per Swedish inhabitant by the Baltic Sea Action Plan. This highlights an unfairness issue in the per-capita distribution of nutrient load allowance among the Baltic countries, which needs to be considered and handled in further research and international efforts aimed to combat the Baltic Sea eutrophication.
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SATO, Keijin, Katsutoshi YOSHIDA, Manabu TATENO, Yasushi AMEMIYA y Miyoko IKEZOE. "Identification of Counter-Rolling. Characterization Using Kalman Filter." Transactions of the Japan Society of Mechanical Engineers Series C 66, n.º 651 (2000): 3541–46. http://dx.doi.org/10.1299/kikaic.66.3541.
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Acar, M., M. T. Ozludemir, S. Erol, R. N. Celik y T. Ayan. "Kinematic landslide monitoring with Kalman filtering". Natural Hazards and Earth System Sciences 8, n.º 2 (13 de marzo de 2008): 213–21. http://dx.doi.org/10.5194/nhess-8-213-2008.
Resumen
Abstract. Landslides are serious geologic disasters that threat human life and property in every country. In addition, landslides are one of the most important natural phenomena, which directly or indirectly affect countries' economy. Turkey is also the country that is under the threat of landslides. Landslides frequently occur in all of the Black Sea region as well as in many parts of Marmara, East Anatolia, and Mediterranean regions. Since these landslides resulted in destruction, they are ranked as the second important natural phenomenon that comes after earthquake in Turkey. In recent years several landslides happened after heavy rains and the resulting floods. This makes the landslide monitoring and mitigation techniques an important study subject for the related professional disciplines in Turkey. The investigations on surface deformations are conducted to define the boundaries of the landslide, size, level of activity and direction(s) of the movement, and to determine individual moving blocks of the main slide. This study focuses on the use of a kinematic deformation analysis based on Kalman Filtering at a landslide area near Istanbul. Kinematic deformation analysis has been applied in a landslide area, which is located to the north of Istanbul city. Positional data were collected using GPS technique. As part of the study, conventional static deformation analysis methodology has also been applied on the same data. The results and comparisons are discussed in this paper.
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Adhinata, Faisal Dharma, Muhammad Ikhsan y Wahyono Wahyono. "People counter on CCTV video using histogram of oriented gradient and Kalman filter methods". Jurnal Teknologi dan Sistem Komputer 8, n.º 3 (26 de mayo de 2020): 222–27. http://dx.doi.org/10.14710/jtsiskom.2020.13660.
Resumen
CCTV cameras have an important function in the field of public service, especially for convenience. The objects recorded through CCTV cameras are processed into information to support service satisfaction in the community. This study uses the function of CCTV for people counting from objects recorded by a camera. Currently, the process of detecting and tracking people takes a long time to detect all frames. In this study, the frame selection into keyframes uses the mutual information entropy method. The keyframes processing uses the Histogram of Oriented Gradient (HOG) and Kalman filter methods. The proposed method results F1 value of 0.85, recall of 76 %, and precision of 97 % with winStride parameter (12,12), scale 1.05, and the distance of the human object to CCTV 4 meters.
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Riaz, Misbah Bint, Faraz Akrim, Siddiqa Qasim, Syed Afaq Bukhari, Asad Aslam, Muhammad Waseem, Rizwana Imtiaz y Tariq Mahmood. "First camera trap photographs of Indian Pangolin Manis crassicaudata (Mammalia: Pholidota: Manidae) from Pakistan". Journal of Threatened Taxa 13, n.º 8 (26 de julio de 2021): 19156–58. http://dx.doi.org/10.11609/jott.7508.13.8.19156-19158.
Resumen
In the current study, we have camera trapped Indian pangolin in the country providing very 1st camera trap photographs of the species from Pakistan. The species has been camera trapped from two sampling sites; one from Pothwar Plateau (Kallar Syedan site 33.465N 73.409E district Rawalpindi) and from other sites named Rolli Hills (33.486N 73.902E), surrounding the University of Kotli, Azad Jammu & Kashmir. For this purpose, we installed camera traps eight camera trap stations from January 2021 till June 2021. We collected a total of 131 pictures of Indian pangolin from Kallar Syedan site and 25 pictures of the species from Rolli Hills site surrounding University of Kotli AJ&K. At Kallar Syedan site we confirmed two pangolins (one male and one female) while the female being pregnant and gave birth to baby pangolin (direct field observation) in the month of April.
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Mordecki, Ernesto y Andrés Sosa Rodríguez. "Country risk for emerging economies: a dynamical index proposal with a case study." Brazilian Review of Econometrics 40, n.º 2 (30 de abril de 2021): 285–302. http://dx.doi.org/10.12660/bre.v40n22020.80944.
Resumen
We introduce a dynamical country risk index for emerging economies. The proposal is based on the intensity approach of credit risk, i.e. the default is the first jump of a point process with stochastic intensity. Two different models are used to estimate the yield spread. They differ in the relationship between the default-free instantaneous interest rate process and the intensity process. The dynamics of the interest rates is modeled through a multidimensional affine model, and the Kalman filter with an Expectation-Maximization algorithm is used to calibrate it. The USD interest rates constitute part of the input of the model, while prices of relevant domestic bonds in the emerging market complete the input. For an application, we select the Uruguayan bond market as the emerging economy.
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Wollak, Birte, Jörgen Forss y Ulrika Welander. "Evaluation of blue mussels ( Mytilus edulis ) as substrate for biogas production in Kalmar County (Sweden)". Biomass and Bioenergy 111 (abril de 2018): 96–102. http://dx.doi.org/10.1016/j.biombioe.2018.02.008.
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Das, Sudipta y Parama Barai. "Time-varying industry beta in Indian stock market and forecasting errors". International Journal of Emerging Markets 10, n.º 3 (20 de julio de 2015): 521–34. http://dx.doi.org/10.1108/ijoem-02-2013-0035.
Resumen
Purpose – The purpose of this paper is to empirically estimate industry beta in Indian stock market with three alternative models and compare the accuracy of forecasting error to find the most suitable model for time-varying beta estimation. Design/methodology/approach – The paper applies the standard regression model, Kalman filter model, other statistical approaches and secondary material. Findings – The paper finds that the existence of dynamic beta in Indian market. The results also indicate systematic risk or beta of Indian industries is susceptible to the global economic effect. Finally, the Kalman filter generates the lower forecasting error compared to the other method for almost all the industries. Practical implications – The accurate estimation of beta which is a measure of systematic risk helps investors to make investment decision easier. The implication of this result is important for finance practitioners such as portfolio managers, investment advisors and security analysts. This study will help to determine the country risk with respect to the global index and analyze the global financial market integration effect on India. Originality/value – This paper reliably estimate industry portfolio beta for India. The time-varying beta is estimated using Kalman filter method which is rarely applied in Indian literature. This paper contributes by extending the knowledge of existing literature by introducing a new data set with Indian data which is not affected by the “data snooping” bias. This study will also help to determine the country risk with respect to the global index and analyze the global financial market integration effect on India.
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Islam, Md Shariful, Md Enamul Hoque y Mohammad Ruhul Amin. "Integration of Kalman filter in the epidemiological model: A robust approach to predict COVID-19 outbreak in Bangladesh". International Journal of Modern Physics C 32, n.º 08 (7 de abril de 2021): 2150108. http://dx.doi.org/10.1142/s0129183121501084.
Resumen
As one of the most densely populated countries in the world, Bangladesh has been trying to contain the impact of a pandemic like coronavirus disease 2019 (COVID-19) since March, 2020. Although government announced an array of restricted measures to slow down the diffusion in the beginning of the pandemic, the lockdown has been lifted gradually by reopening all the industries, markets and offices with a notable exception of educational institutes. As the physical geography of Bangladesh is highly variable across the largest delta, the population of different regions and their lifestyle also differ in the country. Thus, to get the real scenario of the current pandemic and a possible second wave of COVID-19 transmission across Bangladesh, it is essential to analyze the transmission dynamics over the individual districts. In this paper, we propose to integrate the Unscented Kalman Filter (UKF) with classic SIRD model to explain the epidemic evolution of individual districts in the country. We show that UKF-SIRD model results in a robust prediction of the transmission dynamics for 1–4 months. Then we apply the robust UKF-SIRD model over different regions in Bangladesh to estimates the course of the epidemic. Our analysis demonstrates that in addition to the densely populated areas, industrial areas and popular tourist spots will be in the risk of higher COVID-19 transmission if a second wave of COVID-19 occurs in the country. In the light of these outcomes, we also provide a set of suggestions to contain the future pandemic in Bangladesh.
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Anderson, Bing, Peter J. Hammond y Cyrus A. Ramezani. "Affine Models of the Joint Dynamics of Exchange Rates and Interest Rates". Journal of Financial and Quantitative Analysis 45, n.º 5 (13 de agosto de 2010): 1341–65. http://dx.doi.org/10.1017/s0022109010000438.
Resumen
AbstractThis paper extends the affine class of term structure models to describe the joint dynamics of exchange rates and interest rates. In particular, the issue of how to reconcile the low volatility of interest rates with the high volatility of exchange rates is addressed. The incomplete market approach of introducing exchange rate volatility that is orthogonal to both interest rates and the pricing kernels is shown to be infeasible in the affine setting. Models in which excess exchange rate volatility is orthogonal to interest rates but not orthogonal to the pricing kernels are proposed and validated via Kalman filter estimation of maximal 5-factor models for 6 country pairs.
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Huan, Ruo Hong, Xiao Mei Tang, Zhe Hu Wang y Qing Zhang Chen. "Abnormal Motion Detection for Intelligent Video Surveillance". Applied Mechanics and Materials 58-60 (junio de 2011): 2290–95. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2290.
Resumen
A method of abnormal motion detection for intelligent video surveillance is presented, which includes object intrusion detection, object overlong stay detection and object overpopulation detection. Background subtraction algorithm is used to detect moving objects in video streams. Kalman filter is applied for object tracking. By the construction of relation matrix, the tracking process is divided into five statuses for prediction and estimation, which are object disappearing, object separating, new object appearing, object sheltering and object matching. The object parameters and predictive information in the next frame which is used to track moving objects is established by Kalman filter. Then, three types of abnormal motion detection are implemented. The relative position of alarm area or guard line with the rectangle boxes of the moving objects is used to detect whether the object is invading. The existing time of the moving objects in monitor area is counted to detect whether the object is staying too long. Moving objects in the monitor area are classified and counted to detect whether the objects are too much. Alarm will be triggered when abnormal motion detection as defined is detected in the monitor area.
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Amberger, Johanna y Ralf Fendel. "The Slope of the Euro Area Phillips Curve: Always and Everywhere the Same?" Applied Economics and Finance 4, n.º 3 (22 de marzo de 2017): 77. http://dx.doi.org/10.11114/aef.v4i3.2296.
Resumen
To determine whether the sensitivity of inflation to changes in the business cycle varies over time, hybrid new Keynesian Phillips curves are formulated in state space form and estimated via the Kalman filter. Analyses cover the Euro Area aggregate and eleven Euro Area countries. Results confirm the increasingly important role of inflation expectations. While the Phillips curve flattens until 2007, slope coefficients increase considerably with the financial crisis in 2007/08 on the basis of output gaps. Nonetheless, stable or decreasing slope coefficients are observed on the basis of unemployment gaps, indicating strong dependence on the driving variable used in estimations. Overall, differences in cross-country Phillips curve parameters are decreasing, indicating a convergence of Euro Area countries' inflation dynamics since 1990.
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Kamal, Shaukat. "Present Status and Progress towards Kala-Azar Elimination Programme in Uttar Pradesh, India". Journal of Communicable Diseases 53, n.º 01 (31 de marzo de 2021): 45–57. http://dx.doi.org/10.24321/0019.5138.202108.
Resumen
Kala-azar (KA) and Lymphatic Filariasis (LF), two out of the six vector borne diseases slated for elimination from the country by Government of India. Kala-azar or Visceral Leishmaniasisis prevalent in the eastern part of Uttar Pradesh mainly in the districts bordering to Bihar, the state known for high endemicity of the disease. This disease has been targeted for elimination not only from thestate butfrom the country by 2020 by bringing down the Kala-azar prevalenceto <1 per 10000 population at sub district/block level. The two important interventions in Kala-azar control Programme includes Indoor residual spray (IRS) and Active Case Searches (ACS) in the endemic districts. The disease has been existed since long back in the state and the efforts made towards elimination are inadequate and deviated from the guidelines laid down by Directorate of National Vector Borne Disease Control Programme (NVBDCP).If the population of the sub district/ block is considered basic unit for calculating the prevalence of Kala-azar case<1 per 10000 population, then the state has achieved the same and as no activity pertaining to Kala-azar intervention measure is needed but in order to achieve the real target, it is suggested to consider the population of Health Sub-Center (HSC) for calculating the parameter of Kala-azar case <1 per 10000 population, for which a long way is required by undertaking measures like (a) active cases search drive for at least up to three years sweeping the whole population of the district, (b) complete treatment of the KA cases (both VL & PKDL), (c) complete coverage of population with IRS following the time line and quality of IRS as per NVBDCP guidelines, and (d) intervention activities needs to be synchronized with neighboring states or country subjecting their areas for KA elimination. Present study revealed the current status and progress towards elimination of the disease.
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Nordqvist, Ola, Olof Björneld, Lars Brudin, Pär Wanby, Rebecca Nobin y Martin Carlsson. "A novel index to assess low energy fracture risks in patients prescribed antiepileptic drugs". PLOS ONE 16, n.º 8 (26 de agosto de 2021): e0256093. http://dx.doi.org/10.1371/journal.pone.0256093.
Resumen
Objective To develop an index assessing the risks of low energy fractures (LEF) in patients prescribed antiepileptic drugs (AED) by exploring five previously suggested risk factors; age, gender, AED-type, epilepsy diagnosis and BMI. Methods In a population-based retrospective open cohort study we used real world data from the Electronic Health Register (EHR) in Region Kalmar County, Sweden. 23 209 patients prescribed AEDs at any time from January 2008 to November 2018 and 23 281 matching controls were followed from first registration in the EHR until the first documented LEF, disenrollment (or death) or until the end of the study period, whichever came first. Risks of LEF measured as hazard rate ratios in relation to the suggested risk factors and in comparison to matched controls were analyzed using Cox regression. The index was developed using a linear combination of the statistically significant variables multiplied by the corresponding regression coefficients. Results Data from 23 209 patients prescribed AEDs and 2084 documented LEFs during a follow-up time of more than 10 years resulted in the Kalmar Epilepsy Fracture Risk Index (KEFRI). KEFRI = Age-category x (1.18) + Gender x (-0.51) + AED-type x (0.29) + Epilepsy diagnosis-category x (0.31) + BMI-category x (-0.35). All five previously suggested risk factors were confirmed. Women aged 75 years and older treated with an inducing AED against epilepsy and BMIs of 25 kg/m2 or below had 48 times higher LEF rates compared to men aged 50 years or younger, treated with a non-inducing AED for a condition other than epilepsy and BMIs above 25 kg/m2. Conclusion The KEFRI is the first weighted multifactorial assessment tool estimating risks of LEF in patients prescribed AEDs and could serve as a feasible guide within clinical practice.
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Neumark, Thomas, Lars Brudin, Sven Engström y Sigvard Mölstad. "Trends in number of consultations and antibiotic prescriptions for respiratory tract infections between 1999 and 2005 in primary healthcare in Kalmar County, Southern Sweden". Scandinavian Journal of Primary Health Care 27, n.º 1 (enero de 2009): 18–24. http://dx.doi.org/10.1080/02813430802610784.
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Mezghani, Taicir y Mouna Boujelbène. "The contagion effect between the oil market, and the Islamic and conventional stock markets of the GCC country". International Journal of Islamic and Middle Eastern Finance and Management 11, n.º 2 (18 de junio de 2018): 157–81. http://dx.doi.org/10.1108/imefm-08-2017-0227.
Resumen
PurposeThis study aims to investigate the transmission of shock between the oil market and the Islamic and conventional stock markets of the Gulf Cooperation Council (GCC) countries during the oil shocks of 2008 and 2014.Design/methodology/approachThis study uses two models. First, the dynamic conditional correlation–generalized autoregressive conditionally heteroskedastic model has been used to capture the fundamental contagion effects between the oil market and the Islamic and conventional stock markets during the tranquil and turmoil-crisis periods of 2008-2014. Second, the filter of Kalman has been used to capture the effects of pure contagion between the oil market and the GCC Islamic and conventional stock markets. The authors analyze the dynamic correlation between forecasting errors of oil returns and stock returns of GCC Islamic and GCC conventional indices.FindingsThe main findings of this investigation are: first, the estimation of the dynamic conditional correlation– generalized autoregressive conditionally heteroskedastic model for oil market and the Islamic and conventional stock markets proves that the Islamic and conventional stock markets and oil market displayed a significant increase in the dynamic correlation during the turmoil period, from mid-2008 and mid-2014. This proves the existence of contagion between the markets studied. Second, the authors analyze the dynamic correlation between forecasting errors of oil returns and stock returns of GCC Islamic and GCC conventional indices. They show a strong increase in the correlation coefficients between the oil market and the conventional GCC stock markets, and between the conventional and Islamic GCC stock markets during the oil crisis of 2014. However, there is no change in regime in the figure of the correlation coefficient between the oil market and the GCC Islamic stock markets during the 2008 financial crisis. This pure contagion is mainly attributed to the herding bias in 2014 oil crisis.Originality/valueThis study contributes to identifying the contribution of herding bias on the volatility transmission between the oil markets, and the GCC Islamic and conventional stock market, especially during two controversial shocks: the 2008 oil-price increase and the 2014 oil drop.
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Rahighi, Alireza, Seyed Mohammad Hadi Seyed Kashani y Behrang Sakhaee. "Developing a battery monitoring system software in matlab simulink environment using kalman filter". International Journal of Applied Power Engineering (IJAPE) 8, n.º 1 (1 de abril de 2019): 1. http://dx.doi.org/10.11591/ijape.v8.i1.pp1-10.
Resumen
<p>Batteries play a vital role in electrical equipments and electrical engineering tools. In addition, in vehicles, the duties of the battery is very important, both in providing initial start energy for conventional cars and movement energy for electric vehicles. Therefore, the batteries could be counted as one of the most important segments of the electric vehicles. The batteries used in vehicles have various types. The most utilized of which in vehicles are the lead-acid batteries. Due to the noticeable privileges of the lead-acid batteries, they have been widely used in vehicles. The battery of the system, which have been processed in this project, is a traction battery with 24V nominal voltage and 500Ahours nominal capacity. In this project, the Kalman filter method has been used in order to estimate the remaining amount of battery’s charge. Kalman filter is an algorithm that estimates the state of a dynamic system using a set of measurements including fault in a specific time period. Having implemented the Kalman filter to the dynamic model of the battery, an estimation of state of the charge (SOC) and battery parameters have been acquired. This operation was simulated in Matlab Simulink environment and the results of the simulation were compared with the real amounts of the parameters achieved from prior experiments to make sure about the accuracy of the results. In the designed software, a graphical environment has been developed in order to providing an appropriate interface and simplifying the software performance. The program can be easily implemented to a real battery and calculate the desired parameters.</p>
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Isiksal, Huseyin, Aliya Zhakanova Isiksal y Yossi Apeji. "The Impact of Syrian Refugees on the Turkish Labor Market". International Journal of Operations Management 1, n.º 1 (2020): 27–34. http://dx.doi.org/10.18775/ijom.2757-0509.2020.11.4003.
Resumen
The civil war in Syria has destabilized the whole Middle East along with neighboring regions. In this respect, the impact of Syrian refugees on Turkish labor market is one of the most important contemporary issues discussed in Turkey. This issue has both political and economic significance. Deriving from this point, the aim of this study is to research the empirical relationship between the Labor Market Indicator (LMI) and the growing number of Syrian Refugees in Turkey (RS) by using time series analysis. The data employs monthly data for the period from January 2012 to August 2017. Results of the ARDL bounds test suggest that the Labor Market Indicator and the number of Syrian Refugees are in a long-run relationship. The Gregory-Hansen cointegration test with a structural break confirms the robustness of the ARDL bounds test of cointegration. The Kalman filtering approach was designed to investigate the dynamic relationship between the Labor Market Indicators and the growing number of Syrian Refugees. The results show that the increase in the number of Syrian refugees negatively affects the Labor Market Indicator in Turkey, which implies that the inflow of Syrians has negative effects on labor market outcomes such as employment and unemployment in the country. These results also confirm the postulation of general labor migration theory, which holds that an influx of refugees negatively affects labor market outcomes in the harboring country.
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Elango, Chandrasekar y Daniel J. Dailey. "Irregularly Sampled Transit Vehicles Used as Traffic Sensors". Transportation Research Record: Journal of the Transportation Research Board 1719, n.º 1 (enero de 2000): 33–44. http://dx.doi.org/10.3141/1719-05.
Resumen
Performance monitoring is an issue of growing concern both nationally and in the state of Washington. Travel times and speeds always have been of interest to traveler information researchers, but there is limited infrastructure with which to collect such data on a continuous basis. Transit vehicles were used as probes, and a framework was developed for modeling the time series that arise from irregularly sampled transit vehicle locations. These samples of vehicle location were obtained from the King County Department of Metropolitan Services automatic vehicle location system. An optimal filter method that estimates speed as a function of space and time was developed. An optimal solution for the state vector, containing the variables speed and position, was made at each time step by using a Kalman filter.
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Krisztina, Fehér y Kovács Máté Gergő. "Verőcke a hambiton. Ipolytölgyes község építészeti öröksége / Verőcke on the Hambit. The architectural heritage of Ipolytölgyes". Építés - Építészettudomány 48, n.º 3-4 (22 de septiembre de 2020): 357–95. http://dx.doi.org/10.1556/096.2020.010.
Resumen
A Budapesti Műszaki és Gazdaságtudományi Egyetem Építészettörténeti és Műemléki Tanszékén a műemléki és történeti épületek felmérése évszázados múltra tekint vissza. Az oktatásban is rendkívül fontos szerepet betöltő felmérőtáborok hagyományát oktatóink, dr. Istvánfi Gyula és dr. Kalmár Miklós hosszú évtizedeken keresztül éltették tovább megszerettetve hallgatóikkal – így velünk is – a régi házak, szerkezetek megfigyelését, rajzolását és kutatását. Tanulmányunkban a Tanszék által 2017-ben a Pest megyei Ipolytölgyesen szervezett nyári felmérőtábor emlékét és tanulságait történeti és néprajzi kitekintéssel szeretnénk összefűzni. A tábor során felmért tíz portát főleg építészeti szempontból vizsgáltuk és dokumentáltuk, de ahogyan az minden épület tanulmányozása esetén fennáll, betekintést nyerhettünk a falu mindennapi életébe és értékeibe is.Surveying monuments and historical buildings at the Department of History of Architecture and Monument Preservation of Budapest University of Technology and Economics dates back to age-old traditions. The tradition of survey camps, that played an all-important educational role, had been kept alive for decades by our tutors Gyula Istvánfi and Miklós Kalmár, thus winning the affection of the students – and so ours – towards observing, drawing and studying historical buildings and structures. In our study, we wish to incorporate the memory and lessons of the 2017 survey camp organized by the Department in Ipolytölgyes, Pest county, with a historical and an ethnographical outlook. During the camp, we studied, surveyed and documented ten vernacular houses with their service buildings, mainly from an architectural point of view, but we could also inspect the everyday life and values of the village.
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Mohammed- Amin, Saman Mohammed. "Prevalence of Bacterial Vaginosis among Married Women in Kalar District, Iraqi Kurdistan Region". Passer Journal of Basic and Applied Sciences 3, n.º 2 (2019): 194–99. http://dx.doi.org/10.24271/psr.32.
Resumen
Abstract Bacterial vaginosis (BV) is an inflammatory disease, caused by polymicrobial infection, including pathogenic bacteria which replace the vaginal normal flora and finally this replacement causes manifestations of several physiological and clinical symptoms among women within different ages. BV has become one of the main problems that make woman patients visit gynecological and obstetric consultant hospitals in most country. The present study is designed to determine the causative pathogen and the prevalence of bacterial vaginosis among married women patients in Kalar district. This cross-sectional study was performed from the beginning of March to the mid April-2021 among women who attended Obstetrics and Gynecological governmental hospital and out-patient clinics in Kalar City. Intra vaginal swabs have been collected in sterile Amies transport medium sticks and processed for isolation and identification of bacterial species depending on colony morphology, Gram’s stain and microbiological analysis protocols. Then socio-demographic and gynaecologic data were collected by questionnaire. Out of the 108 participant women who suffered from Gynecological diseases, 67(62.03%) of them exhibited bacterial vaginosis. From the 73 different isolated colonies, 18 bacterial species were identified; coagulase-negative staphylococci (CoNS) were the predominant cause of BV (32.84%), followed by E. coli (14.93%), Staphylococcus aureus (13.43%), Klebsiella pneumonia (8.96) and Micrococcus luteus (7.46%), while Proteus spp. and some uncommon bacteria display (1.49%) for each of them. The socio-demographic analysis between positive and negative woman patients revealed that the association between all studied risk factors and BV were statistically significant (P value < 0.05) except the age factor which was statistically non-significant meaning that the age was not associated with BV. In addition, the clinical symptom analysis showed that abnormal vaginal discharge, lower back pain, dysmenorrhea and strawberry were significantly associated with BV (P value < 0.05), while the rest of other factor did not exhibit statistically significant association.
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Cathey, F. W. y D. J. Dailey. "Transit Vehicles as Traffic Probe Sensors". Transportation Research Record: Journal of the Transportation Research Board 1804, n.º 1 (enero de 2002): 23–30. http://dx.doi.org/10.3141/1804-04.
Resumen
New algorithms are presented that use transit vehicles as probes for determining traffic speeds and travel times along freeways and other primary arterials. A mass transit tracking system based on automatic vehicle location data and a Kalman filter used to estimate vehicle position and speed are described. A system of virtual probe sensors that measure transit vehicle speeds by using the track data is also described. Examples showing the correlation between probe data and inductance loop speed-trap data are presented. Also presented is a method that uses probe sensor data to define vehicle speed along an arbitrary roadway as a function of space and time, a speed function. This speed function is used to estimate travel time given an arbitrary starting time. Finally, a graphical application is introduced for viewing real-time speed measurements from a set of virtual sensors that can be located throughout King County, Washington, on arterials and freeways.
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He, Miao, Haibo Luo, Bin Hui y Zheng Chang. "Pedestrian Flow Tracking and Statistics of Monocular Camera Based on Convolutional Neural Network and Kalman Filter". Applied Sciences 9, n.º 8 (18 de abril de 2019): 1624. http://dx.doi.org/10.3390/app9081624.
Resumen
Pedestrian flow statistics and analysis in public places is an important means to ensure urban safety. However, in recent years, a video-based pedestrian flow statistics algorithm mainly relies on binocular vision or a vertical downward camera, which has serious limitations on the application scene and counting area, and cannot make use of the large number of monocular cameras in the city. To solve this problem, we propose a pedestrian flow statistics algorithm based on monocular camera. Firstly, a convolution neural network is used to detect the pedestrian targets. Then, with a Kalman filter, the motion models for the targets are established. Based on these motion models, data association algorithm completes target tracking. Finally, the pedestrian flow is counted by the pedestrian counting method based on virtual blocks. The algorithm is tested on real scenes and public data sets. The experimental results show that the algorithm has high accuracy and strong real-time performance, which verifies the reliability of the algorithm.
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McKee, Kevin L., Ian C. Crandell y Alexandra L. Hanlon. "County-Level Social Distancing and Policy Impact in the United States: A Dynamical Systems Model". JMIR Public Health and Surveillance 6, n.º 4 (23 de diciembre de 2020): e23902. http://dx.doi.org/10.2196/23902.
Resumen
Background Social distancing and public policy have been crucial for minimizing the spread of SARS-CoV-2 in the United States. Publicly available, county-level time series data on mobility are derived from individual devices with global positioning systems, providing a variety of indices of social distancing behavior per day. Such indices allow a fine-grained approach to modeling public behavior during the pandemic. Previous studies of social distancing and policy have not accounted for the occurrence of pre-policy social distancing and other dynamics reflected in the long-term trajectories of public mobility data. Objective We propose a differential equation state-space model of county-level social distancing that accounts for distancing behavior leading up to the first official policies, equilibrium dynamics reflected in the long-term trajectories of mobility, and the specific impacts of four kinds of policy. The model is fit to each US county individually, producing a nationwide data set of novel estimated mobility indices. Methods A differential equation model was fit to three indicators of mobility for each of 3054 counties, with T=100 occasions per county of the following: distance traveled, visitations to key sites, and the log number of interpersonal encounters. The indicators were highly correlated and assumed to share common underlying latent trajectory, dynamics, and responses to policy. Maximum likelihood estimation with the Kalman-Bucy filter was used to estimate the model parameters. Bivariate distributional plots and descriptive statistics were used to examine the resulting county-level parameter estimates. The association of chronology with policy impact was also considered. Results Mobility dynamics show moderate correlations with two census covariates: population density (Spearman r ranging from 0.11 to 0.31) and median household income (Spearman r ranging from –0.03 to 0.39). Stay-at-home order effects were negatively correlated with both (r=–0.37 and r=–0.38, respectively), while the effects of the ban on all gatherings were positively correlated with both (r=0.51, r=0.39). Chronological ordering of policies was a moderate to strong determinant of their effect per county (Spearman r ranging from –0.12 to –0.56), with earlier policies accounting for most of the change in mobility, and later policies having little or no additional effect. Conclusions Chronological ordering, population density, and median household income were all associated with policy impact. The stay-at-home order and the ban on gatherings had the largest impacts on mobility on average. The model is implemented in a graphical online app for exploring county-level statistics and running counterfactual simulations. Future studies can incorporate the model-derived indices of social distancing and policy impacts as important social determinants of COVID-19 health outcomes.
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Fallgren, Jan-Henrik y John Ljungkvist. "The Ritual Use of Brooches in Early Medieval Forts on Öland, Sweden". European Journal of Archaeology 19, n.º 4 (2016): 681–703. http://dx.doi.org/10.1080/14619571.2016.1147318.
Resumen
In 2010, the largest find of exquisite gilded silver brooches ever made in Scandinavia came to light during a metal detector survey in a small fort on Öland in the Baltic Sea. It consisted of five hoards buried in five different houses within the fort. The brooches were of the Dreiknopfbügelfbeln/radiate-headed and relief types. Three of the hoards also contained large quantities of beads and pendants, some quite exclusive and rare. In addition, the upper part of another relief brooch probably belonged to a sixth hoard ploughed up in the late nineteenth century. In 2011, Kalmar County Museum excavations at the site of these hoard finds also revealed the traces of a massacre. Though a connection between the deposition of the hoards and the massacre is plausible, several elements suggest that the deposits are ritual in character and unrelated to the attack on the fort. The regular placing of the hoards in the right corner inside the entrance of the houses suggests ritual acts, and the composition of the hoards demonstrates that the deposits are symbolic. We conclude that the hoards and the brooches are props belonging to the interior of the forts and to activities conducted inside them; they may have been worn by some women during rituals. Why these hoards were left in the Sandby fort is, however, no doubt related to its destruction.
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Zhao, Yibing, Jining Li, Linhui Li, Mingheng Zhang y Lie Guo. "Environmental Perception and Sensor Data Fusion for Unmanned Ground Vehicle". Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/903951.
Resumen
Unmanned Ground Vehicles (UGVs) that can drive autonomously in cross-country environment have received a good deal of attention in recent years. They must have the ability to determine whether the current terrain is traversable or not by using onboard sensors. This paper explores new methods related to environment perception based on computer image processing, pattern recognition, multisensors data fusion, and multidisciplinary theory. Kalman filter is used for low-level fusion of physical level, thus using the D-S evidence theory for high-level data fusion. Probability Test and Gaussian Mixture Model are proposed to obtain the traversable region in the forward-facing camera view for UGV. One feature set including color and texture information is extracted from areas of interest and combined with a classifier approach to resolve two types of terrain (traversable or not). Also, three-dimension data are employed; the feature set contains components such as distance contrast of three-dimension data, edge chain-code curvature of camera image, and covariance matrix based on the principal component method. This paper puts forward one new method that is suitable for distributing basic probability assignment (BPA), based on which D-S theory of evidence is employed to integrate sensors information and recognize the obstacle. The subordination obtained by using the fuzzy interpolation is applied to calculate the basic probability assignment. It is supposed that the subordination is equal to correlation coefficient in the formula. More accurate results of object identification are achieved by using the D-S theory of evidence. Control on motion behavior or autonomous navigation for UGV is based on the method, which is necessary for UGV high speed driving in cross-country environment. The experiment results have demonstrated the viability of the new method.
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Minh, Pham Thi, Bui Thi Tuyet, Tran Thi Thu Thao y Le Thi Thu Hang. "Application of ensemble Kalman filter in WRF model to forecast rainfall on monsoon onset period in South Vietnam". VIETNAM JOURNAL OF EARTH SCIENCES 40, n.º 4 (18 de septiembre de 2018): 367–94. http://dx.doi.org/10.15625/0866-7187/40/4/13134.
Resumen
This paper presents some results of rainfall forecast in the monsoon onset period in South Vietnam, with the use of ensemble Kalman filter to assimilate observation data into the initial field of the model. The study of rainfall forecasts are experimented at the time of Southern monsoon outbreaks for 3 years (2005, 2008 and 2009), corresponding to 18 cases. In each case, there are five trials, including satellite wind data assimilation, upper-air sounding data assimilation, mixed data (satellite wind+upper-air sounding data) assimilation and two controlled trials (one single predictive test and one multi-physical ensemble prediction), which is equivalent to 85 forecasts for one trial. Based on the statistical evaluation of 36 samples (18 meteorological stations and 18 trials), the results show that Kalman filter assimilates satellite wind data to forecast well rainfall at 48 hours and 72 hours ranges. With 24 hour forecasting period, upper-air sounding data assimilation and mixed data assimilation experiments predicted better rainfall than non-assimilation tests. The results of the assessment based on the phase prediction indicators also show that the ensemble Kalman filter assimilating satellite wind data and mixed data sets improve the rain forecasting capability of the model at 48 hours and 72 hour ranges, while the upper-air sounding data assimilation test produces satisfactory results at the 72 hour forecast range, and the multi-physical ensemble test predicted good rainfall at 24 hour and 48 hour forecasts. The results of this research initially lead to a new research approach, Kalman Filter Application that assimilates the existing observation data into input data of the model that can improve the quality of rainfall forecast in Southern Vietnam and overall country in general.References Bui Minh Tuan, Nguyen Minh Truong, 2013. Determining the onset indexes for the summer monsoon over southern Vietnam using numerical model with reanalysis data. VNU Journal of Science, 29(1S), 187-195.Charney J.G., 1955. The use of the primitive equations of motion in numerical prediction, Tellus, 7, 22.Cong Thanh, Tran Tan Tien, Nguyen Tien Toan, 2015. Assessing prediction of rainfall over Quang Ngai area of Vietnam from 1 to 2 day terms. VNU Journal of Science, 31(3S), 231-237.Courtier P., Talagrand O., 1987. Variational assimilation of meteorological observations with the adjoint vorticity equations, Part II, Numerical results. Quart. J. Roy. Meteor. Soc., 113, 1329.Daley R., 1991. Atmospheric data analysis. Cambridge University Press, Cambridge.Elementi M., Marsigli C., Paccagnella T., 2005. High resolution forecast of heavy precipitation with Lokal Modell: analysis of two case studies in the Alpine area. Natural Hazards and Earth System Sciences, 5, 593-602.Fasullo J. and Webster P.J., 2003. A hydrological definition of India monsoon onset and withdrawal. J. Climate, 16, 3200-3211.Haltiner G.J., Williams R.T., 1982. Numerical prediction and dynamic meteorology, John Wiley and Sons, New York.Hamill T.M., Whitaker J.S., Snyder C., 2001. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Wea. Rev., 129, 2776.He J., Yu J., Shen X., and Gao H., 2004. Research on mechanism and variability of East Asia monsoon. J. Trop. Meteo, 20(5), 449-459.Hoang Duc Cuong, 2008. Experimental study on heavy rain forecast in Vietnam using MM5 model. A report on the Ministerial-level research projects on science and technology, 105p.Houtekamer P.L., Mitchell H.L., Pellerin G., Buehner M., Charron M., Spacek L., Hansen B., 2005. Atmospheric data assimilation with an ensemble Kalman filter: Results with real observations. Mon. Wea. Rev., 133, 604.Houtekamer P.L., Mitchell H.L., 2005. Ensemble Kalman filtering, Quart. J. Roy. Meteor. Soc., 131C, 3269-3289.Hunt B.R., Kostelich E., Szunyogh I., 2007. Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. Physica D., 230, 112-126.Kalnay E., 2003. Atmospheric modeling, data assimilation and predictability. Cambridge University Press, 181.Kalnay et al., 2008. A local ensemble transform Kalman filter data assimilation system for the NCEP global model. Tellus A, 60(1), 113-130.Kato T., Aranami K., 2009. Formation Factors of 2004 Niigata-Fukushima and Fukui Heavy Rainfalls and Problems in the Predictions using a Cloud-Resolving Model. SOLA. 10, doi:10.2151/sola.Kieu C.Q., 2010. Estimation of Model Error in the Kalman Filter by Perturbed Forcing. VNU Journal of Science, Natural Sciences and Technology, 26(3S), 310-316.Kieu C.Q., 2011. Overview of the Ensemble Kalman Filter and Its Application to the Weather Research and Forecasting (WRF) model. VNU Journal of Science, Natural Sciences and Technology, 27(1S), 17-28.Kieu C.Q., Truong N.M., Mai H.T., and Ngo Duc T., 2012. Sensitivity of the Track and Intensity Forecasts of Typhoon Megi (2010) to Satellite-Derived Atmosphere Motion Vectors with the Ensenble Kalman filter. J. Atmos. Oceanic Technol., 29, 1794-1810.Kieu Thi Xin, 2005. Study on large-scale rainfall forecast by modern technology for flood prevention in Vietnam. State-level independent scientific and technological briefing report, 121-151.Kieu Thi Xin, Vu Thanh Hang, Le Duc, Nguyen Manh Linh, 2013. Climate simulation in Vietnam using regional climate nonhydrostatic NHRCM and hydrostatic RegCM models. Vietnam National University, Hanoi. Journal of Natural sciences and technology, 29(2S), 243-25.Krishnamurti T.N., Bounoa L., 1996. An introduction to numerical weather prediction techniques. CRC Press, Boca Raton, FA.Lau K.M., Yang S., 1997. Climatology and interannual variability of the Southeast Asian summer monsoon. Adv. Atmos. Sci., 14,141-162.Li C., Qu X., 1999. Characteristics of Atmospheric Circulation Associated with Summer monsoon onset in the South China Sea. Onset and Evolution of the South China Sea Monsoon and Its Interaction with the Ocean. Ding Yihui, and Li Chongyin, Eds, Chinese Meteorological Press, Beijing, 200-209.Lin N., Smith J.A., Villarini G., Marchok T.P., Baeck M.L., 2010. Modeling Extreme Rainfall, Winds,and Surge from Hurricane Isabel, 25. Doi: 10.1175/2010WAF2222349.Lu J., Zhang Q., Tao S., and Ju J., 2006. The onset and advance of the Asian summer monsoon. Chinese Science Bulletin, 51(1), 80-88.Matsumoto J., 1997. Seasonal transition of summer rainy season over Indochina and adjacent monsoon region. Adv. Atmos. Sci., 14, 231-245.Miyoshi T., and Kunii M., 2012. The Local Ensenble Transform Kalman Filter with the Weather Rearch and Forecasting Model: Experiments with Real Observation. Pure Appl. Geophysic, 169(3), 321-333. Miyoshi T., Yamane S., 2007. Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. Mon. Wea. Rev., 135, 3841-3861.Nguyen Khanh Van, Tong Phuc Tuan, Vuong Van Vu, Nguyen Manh Ha, 2013. The heavy rain differences based on topo-geographical analyse at Coastal Central Region, from Thanh Hoa to Khanh Hoa. J. Sciences of the Earth, 35, 301-309.Nguyen Minh Truong, Bui Minh Tuan, 2013. A case study on summer monsoon onset prediction for southern Vietnam in 2012 using the RAMS model. VNU Journal of Science, 29(1S), 179-186.Phillips N.A., 1960b. Numerical weather prediction. Adv. Computers, 1, 43-91, Kalnay 2004.Phillips N., 1960a. On the problem of the initial data for the primitive equations, Tellus, 12, 121126.Phuong Nguyen Duc, 2013. Experiment on combinatorial Kalman filtering method for WRF model to forecast heavy rain in central region in Vietnam. The Third International MAHASRI/HyARC Workshop on Asian Monsoon and Water Cycle, 28-30 August 2013, Da Nang, Viet Nam, 217-224.Richardson L.F., 1922. Weather prediction by numerical process. Cambridge University Press, Cambridge. Reprinted by Dover (1965, New York).Routray, Mohanty U.C., Niyogi D., Rizvi S.R., Osuri K.K., 2008. First application of 3DVAR-WRF data assimilation for mesoscale simulation of heavy rainfall events over Indian Monsoon region. Journal of the Royal Meteorological Society, 1555.Schumacher, R. S., C. A. Davis, 2010. Ensemble-based Forecast Uncertainty Analysis of Diverse Heavy Rainfall Events, 25. Doi: 10.1175/2010WAF2222378.Snyder C., Zhang F., 2003. Assimilation of simulated Doppler radar observations with an Ensemble Kalman filter. Mon. Wea. Rev., 131, 1663.Szunyogh I., Kostelich E.J., Gyarmati G., Kalnay E., Hunt B.R., Ott E., Satterfield E., Yorke J.A., 2008. A local ensemble transform Kalman filter data assimilation system for the NCEP global model. Tellus A., 60, 113-130.Tanaka M., 1992. Intraseasonal oscillation and the onset and retreat dates of the summer monsoon east, southeast Asia and the western Pacific region using GMS high cloud amount data. J. Meteorol. Soc. Japan, 70, 613-628.Tan Tien Tran, Nguyen Thi Thanh, 2011. The MODIS satellite data assimilation in the WRF model to forecast rainfall in the central region. VNU Journal of Science, Natural Sciences and Technology, 27(3S), 90-95.Tao S., Chen L., 1987. A review of recent research on East summer monsoon in China, Monsoon Meteorology. C. P. Changand T. N. Krishramurti, Eds, Oxford University Press, Oxford, 60-92.Tippett M.K., Anderson J.L., Bishop C.H., Hamill T.M., Whitaker J.S., 2003. Ensemble square root filters. Mon. Wea. Rev., 131, 1485.Thuy Kieu Thi, Giam Nguyen Minh, Dung Dang Van, 2013. Using WRF model to forecast heavy rainfall events on September 2012 in Dong Nai River Basin. The Third International MAHASRI/HyARC Workshop on Asian Monsoon and Water Cycle, 28-30 August 2013, Da Nang, Viet Nam, 185-200.Xavier, Chandrasekar, Singh R. and Simon B., 2006. The impact of assimilation of MODIS data for the prediction of a tropical low-pressure system over India using a mesoscale model. International Journal of Remote Sensing 27(20), 4655-4676. https://doi.org/10.1080/01431160500207302. Wang B., 2003. Atmosphere-warm ocean interaction and its impacts on Asian-Australian monsoon variation. J. Climate, 16(8), 1195-1211.Wang B. and Wu R., 1997. Peculiar temporal structure of the South China Sea summer monsoon. J. Climate., 15, 386-396.Wang L., He J., and Guan Z., 2004. Characteristic of convective activities over Asian Australian ”landbridge” areas and its possible factors. Act a Meteorologic a Sinica, 18, 441-454.Wang, B., and Z. Fan, 1999. Choice of South Asian Summer Monsoon Indices. Bull. Amer. Meteor. Sci., 80, 629-638.Webster P.J., Magana V.O., Palmer T.N., Shukla J., Tomas R.A., Yanai M., Yasunari T., 1998. Monsoons: Processes, predictability, and teprospects for prediction, J. Geophys. Res., 103, 14451-14510.Wilks Daniel S., 1997. Statistical Methods in the Atmospheric Sciences. Ithaca New York., 59, 255.Whitaker J.S., Hamill T.M., 2002. Ensemble data assimilation without perturbed observations. Mon. Wea. Rev., 130, 1913.Wu G., Zhang Y., 1998. Tibetan plateau forcing and the timing of the monsoon onset over South Asia and the South China Sea. Mon.Wea.Rev., 126, 913-927.Zhang Z., Chan J.C.L., and Ding Y., 2004. Characteristics, evolution and mechanisms of the summer monsoon onset over Southeast Asia. J.Climatology, 24, 1461-1482.http://weather.uwyo.edu/upperair/sounding.html and http://tropic.ssec.wisc.edu/archive/
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Lee, Gyu-cheol, Sang-ha Lee y Jisang Yoo. "3-D People Counting with a Stereo Camera on GPU Embedded Board". Applied Sciences 8, n.º 11 (23 de octubre de 2018): 2017. http://dx.doi.org/10.3390/app8112017.
Resumen
People counting in surveillance cameras is a key technology for understanding the flow population and generating heat maps. In recent years, people detection performance has been greatly improved with the development of object detection algorithms using deep learning. However, in places where people are crowded, the detection rate is low as people are often occluded by other people. We proposed a people-counting method using a stereo camera to resolve the non-detection problem due to the occlusion. We applied stereo matching to extract the depth image and convert the camera view to top view using depth information. People were detected using a height map and an occupancy map, and people were tracked and counted using a Kalman filter-based tracker. We operated the proposed method on the NVIDIA Jetson TX2 to check the real-time operation possibility on the embedded board. Experimental results showed that the proposed method had higher accuracy than the existing methods and that real-time processing is possible.
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Ozun, Alper, Hasan Murat Ertugrul y Yener Coskun. "A dynamic model for housing price spillovers with an evidence from the US and the UK markets". Journal of Capital Markets Studies 2, n.º 1 (9 de julio de 2018): 70–81. http://dx.doi.org/10.1108/jcms-01-2018-0002.
Resumen
Purpose The purpose of this paper is to introduce an empirical model for house price spillovers between real estate markets. The model is presented by using data from the US-UK and London-New York housing markets over a period of 1975Q1-2016Q1 by employing both static and dynamic methodologies. Design/methodology/approach The research analyzes long-run static and dynamic spillover elasticity coefficients by employing three methods, namely, autoregressive distributed lag, the fully modified ordinary least square and dynamic ordinary least squares estimator under a Kalman filter approach. The empirical method also investigates dynamic correlation between the house prices by employing the dynamic control correlation method. Findings The paper shows how a dynamic spillover pricing analysis can be applied between real estate markets. On the empirical side, the results show that country-level causality in housing prices is running from the USA to UK, whereas city-level causality is running from London to New York. The model outcomes suggest that real estate portfolios involving US and UK assets require a dynamic risk management approach. Research limitations/implications One of the findings is that the dynamic conditional correlation between the US and the UK housing prices is broken during the crisis period. The paper does not discuss the reasons for that break, which requires further empirical tests by applying Markov switching regime shifts. The timing of the causality between the house prices is not empirically tested. It can be examined empirically by applying methods such as wavelets. Practical implications The authors observed a unidirectional causality from London to New York house prices, which is opposite to the aggregate country-level causality direction. This supports London’s specific power in the real estate markets. London has a leading role in the global urban economies residential housing markets and the behavior of its housing prices has a statistically significant causality impact on the house prices of New York City. Social implications The house price co-integration observed in this research at both country and city levels should be interpreted as a continuity of real estate and financial integration in practice. Originality/value The paper is the first research which applies a dynamic spillover analysis to examine the causality between housing prices in real estate markets. It also provides a long-term empirical evidence for a dynamic causal relationship for the global housing markets.
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Tjernberg, Anna Röckert, Hanna Woksepp, Kerstin Sandholm, Marcus Johansson, Charlotte Dahle, Jonas F. Ludvigsson, Jonas Bonnedahl, Per Nilsson y Kristina Nilsson Ekdahl. "Celiac disease and complement activation in response to Streptococcus pneumoniae". European Journal of Pediatrics 179, n.º 1 (5 de noviembre de 2019): 133–40. http://dx.doi.org/10.1007/s00431-019-03490-w.
Resumen
Abstract Individuals with celiac disease (CD) are at increased risk of invasive pneumococcal disease (IPD). The aim of this study was to explore whether the complement response to Streptococcus pneumoniae differed according to CD status, and could serve as an explanation for the excess risk of IPD in CD. Twenty-two children with CD and 18 controls, born 1999–2008, were included at Kalmar County Hospital, Sweden. The degree of complement activation was evaluated by comparing levels of activation products C3a and sC5b-9 in plasma incubated for 30 min with Streptococcus pneumoniae and in non-incubated plasma. Complement analyses were performed with enzyme-linked immunosorbent assay (ELISA). Pneumococcal stimulation caused a statistically significant increase in C3a as well as sC5b-9 in both children with CD and controls but there was no difference in response between the groups. After incubation, C3a increased on average 4.6 times and sC5b-9 22 times in both the CD and the control group (p = 0.497 and p = 0.724 respectively). Conclusion: Complement response to Streptococcus pneumoniae seems to be similar in children with and without CD and is thus unlikely to contribute to the increased susceptibility to invasive pneumococcal disease in CD.What is Known:• An excess risk of pneumococcal infections has been demonstrated in individuals with celiac disease.• Infectious complications can depend on hyposplenism but alternative mechanisms are sparsely examined.What is New:• Complement activation in response to Streptococcus pneumoniae was examined in children with and without celiac disease but no differences could be demonstrated.
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Steven, Steven. "ANALISIS PERILAKU MASYARAKAT KOTA PONTIANAK DALAM MENGHADAPI PANDEMI VIRUS CORONA (COVID-19)". Jurnal Ekonomi Integra 11, n.º 1 (28 de enero de 2021): 024. http://dx.doi.org/10.51195/iga.v11i1.150.
Resumen
AbstractAt the beginning of 2020, the whole country was struck by the Corona virus pandemic (Covid-19) which caused panic in all countries where hundreds of thousands of people were infected and thousands more died. For Indonesia Corona virus itself (Covid-19) has been determined as a national disaster that must be completely eradicated, for that the central government has appealed to each local government to provide guidance to the community in overcoming this outbreak so that it can run effectively and efficient. One of them is the regional government in Pontianak, where Pontianak is the highest number of Corona (Covid-19) positive patients in West Kalimantan, with 78 positive patients infected with Corona (Covid-19) compared to other regions in West Kalimantan . Therefore this study aims to analyze the behavior of Pontianak city people in dealing with the Corona virus pandemic (Covid-19). Samples taken were 382 people in Pontianak City. The results of this study indicate that the behavior displayed by people who do not comply with government regulations is based on the perception of the Pontianak city community itself. The research method used by this research is literature study with a quantitative descriptive approach. Keywords: Covid-19 Pandemic, Behavior, Pontianak City AbstrakDi awal tahun 2020, seluruh negeri dilanda pandemi virus Corona (Covid-19) yang menimbulkan kepanikan di seluruh negara yang ratusan ribu orangnya terjangkit dan ribuan lainnya meninggal dunia. Untuk virus Corona Indonesia sendiri (Covid-19) sudah ditetapkan sebagai bencana nasional yang harus diberantas tuntas, untuk itu pemerintah pusat mengimbau kepada setiap pemerintah daerah agar memberikan pembinaan kepada masyarakat dalam menanggulangi wabah ini agar dapat berjalan efektif. dan efisien. Salah satunya adalah pemerintah daerah di Pontianak, dimana Pontianak merupakan jumlah penderita positif Corona (Covid-19) tertinggi di Kalbar, dengan 78 penderita positif terjangkit Corona (Covid-19) dibandingkan daerah lain di Kalbar. Oleh karena itu penelitian ini bertujuan untuk menganalisis perilaku masyarakat kota Pontianak dalam menghadapi pandemi virus Corona (Covid-19). Sampel yang diambil sebanyak 382 orang di Kota Pontianak. Hasil penelitian ini menunjukkan bahwa perilaku yang ditampilkan oleh masyarakat yang tidak mematuhi peraturan pemerintah didasarkan pada persepsi masyarakat kota Pontianak itu sendiri. Metode penelitian yang digunakan dalam penelitian ini adalah studi literatur dengan pendekatan deskriptif kuantitatif. Kata Kunci: Pandemi Covid-19, Perilaku, Kota Pontianak
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Tóth, Helga y Balázs Szintai. "Assimilation of Leaf Area Index and Soil Water Index from Satellite Observations in a Land Surface Model in Hungary". Atmosphere 12, n.º 8 (23 de julio de 2021): 944. http://dx.doi.org/10.3390/atmos12080944.
Resumen
In this study, a Land Data Assimilation System (LDAS) is applied over the Carpathian Basin at the Hungarian Meteorological Service to monitor the above-ground biomass, surface fluxes (carbon and water), and the associated root-zone soil moisture at the regional scale (spatial resolution of 8 km × 8 km) in quasi-real-time. In this system the SURFEX model is used, which applies the vegetation growth version of the Interactions between Soil, Biosphere and Atmosphere (ISBA-A-gs) photosynthesis scheme to describe the evolution of vegetation. SURFEX is forced using the outputs of the ALADIN numerical weather prediction model run operationally at the Hungarian Meteorological Service. First, SURFEX is run in an open-loop (i.e., no assimilation) mode for the period 2008–2015. Secondly, the Extended Kalman Filter (EKF) method is used to assimilate Leaf Area Index (LAI) Spot/Vegetation (until May 2014) and PROBA-V (from June 2014) and Soil Water Index (SWI) ASCAT/Metop satellite measurements. The benefit of LDAS is proved over the whole country and to a selected site in West Hungary (Hegyhátsál). It is demonstrated that the EKF can provide useful information both in wet and dry seasons as well. It is shown that the data assimilation is efficient to describe the inter-annual variability of biomass and soil moisture values. The vegetation development and the water and carbon fluxes vary from season to season and LDAS is a capable tool to monitor the variability of these parameters.
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Dinku, Tufa, Franklyn Ruiz, Stephen J. Connor y Pietro Ceccato. "Validation and Intercomparison of Satellite Rainfall Estimates over Colombia". Journal of Applied Meteorology and Climatology 49, n.º 5 (1 de mayo de 2010): 1004–14. http://dx.doi.org/10.1175/2009jamc2260.1.
Resumen
Abstract Seven different satellite rainfall estimates are evaluated at daily and 10-daily time scales and a spatial resolution of 0.25° latitude/longitude. The reference data come from a relatively dense station network of about 600 rain gauges over Colombia. This region of South America has a very complex terrain with mountain ranges that form the northern tip of the Andes Mountains, valleys between the mountain ranges, and a vast plain that is part of the Amazon. The climate is very diverse with an extremely wet Pacific coast, a dry region in the north, and different rainfall regimes between the two extremes. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 and 3B42RT products, the NOAA/Climate Prediction Center morphing technique (CMORPH), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network (PERSIANN), the Naval Research Laboratory’s blended product (NRLB), and two versions of the Global Satellite Mapping of Precipitation moving vector with Kalman filter (GSMaP_MVK and GSMaP_MVK+). The validation and intercomparison of these products is done for the whole as well as different parts of the country. Validation results are reasonably good for daily rainfall over such complex terrain. The best results were obtained for the eastern plain, and the performance of the products was relatively poor over the Pacific coast. In comparing the different satellite products, it was seen that PERSIANN and GSMaP-MVK exhibited poor performance, with significant overestimation by PERSSIAN and serious underestimation by GSMaP-MVK. CMORPH and GSMaP-MVK+ exhibited the best performance among the products evaluated here.
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Marquis, James, Yvette Richardson, Paul Markowski, Joshua Wurman, Karen Kosiba y Paul Robinson. "An Investigation of the Goshen County, Wyoming, Tornadic Supercell of 5 June 2009 Using EnKF Assimilation of Mobile Mesonet and Radar Observations Collected during VORTEX2. Part II: Mesocyclone-Scale Processes Affecting Tornado Formation, Maintenance, and Decay". Monthly Weather Review 144, n.º 9 (septiembre de 2016): 3441–63. http://dx.doi.org/10.1175/mwr-d-15-0411.1.
Resumen
Storm-scale and mesocyclone-scale processes occurring contemporaneously with a tornado in the Goshen County, Wyoming, supercell observed on 5 June 2009 during the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) are examined using ensemble analyses produced by assimilating mobile radar and in situ observations into a high-resolution convection-resolving model. This paper focuses on understanding the evolution of the vertical structure of the storm, the outflow buoyancy, and processes affecting the vertical vorticity and circulation within the mesocyclone that correspond to changes in observed tornado intensity. Tornadogenesis occurs when the low-level mesocyclone is least negatively buoyant relative to the environment, possesses its largest circulation, and is collocated with the largest azimuthally averaged convergence during the analysis period. The average buoyancy, circulation, and convergence within the near-surface mesocyclone (on spatial scales resolved by the model) all decrease as the tornado intensifies and matures. The tornado and its parent low-level mesocyclone both dissipate surrounded by a weakening rear-flank downdraft. The decreasing buoyancy of parcels within the low-level mesocyclone may partly be responsible for the weakening of the updraft surrounding the tornado and decoupling of the mid- and low-level circulation. Although the supply of horizontal vorticity generated in the forward flank of the storm increases throughout the life cycle of the tornado, it is presumably less easily tilted and stretched on the mesocyclone-scale during tornado maturity owing to the disruption of the low-level updraft/downdraft structure. Changes in radar-measured tornado intensity lag those of ensemble Kalman filter (EnKF) mesocyclone vorticity and circulation.
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Marquis, James, Yvette Richardson, Paul Markowski, David Dowell, Joshua Wurman, Karen Kosiba, Paul Robinson y Glen Romine. "An Investigation of the Goshen County, Wyoming, Tornadic Supercell of 5 June 2009 Using EnKF Assimilation of Mobile Mesonet and Radar Observations Collected during VORTEX2. Part I: Experiment Design and Verification of the EnKF Analyses". Monthly Weather Review 142, n.º 2 (24 de enero de 2014): 530–54. http://dx.doi.org/10.1175/mwr-d-13-00007.1.
Resumen
Abstract High-resolution Doppler radar velocities and in situ surface observations collected in a tornadic supercell on 5 June 2009 during the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) are assimilated into a simulated convective storm using an ensemble Kalman filter (EnKF). A series of EnKF experiments using a 1-km horizontal model grid spacing demonstrates the sensitivity of the cold pool and kinematic structure of the storm to the assimilation of these observations and to different model microphysics parameterizations. An experiment is performed using a finer grid spacing (500 m) and the most optimal data assimilation and model configurations from the sensitivity tests to produce a realistically evolving storm. Analyses from this experiment are verified against dual-Doppler and in situ observations and are evaluated for their potential to confidently evaluate mesocyclone-scale processes in the storm using trajectory analysis and calculations of Lagrangian vorticity budgets. In Part II of this study, these analyses will be further evaluated to learn the roles that mesocyclone-scale processes play in tornado formation, maintenance, and decay. The coldness of the simulated low-level outflow is generally insensitive to the choice of certain microphysical parameterizations, likely owing to the vast quantity of kinematic and in situ thermodynamic observations assimilated. The three-dimensional EnKF wind fields and parcel trajectories resemble those retrieved from dual-Doppler observations within the storm, suggesting that realistic four-dimensional mesocyclone-scale processes are captured. However, potential errors are found in trajectories and Lagrangian three-dimensional vorticity budget calculations performed within the mesocyclone that may be due to the coarse (2 min) temporal resolution of the analyses. Therefore, caution must be exercised when interpreting trajectories in this area of the storm.
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Ahmad, Jawad, Fawad Masood, Syed Aziz Shah, Sajjad Shaukat Jamal y Iqtadar Hussain. "A Novel Secure Occupancy Monitoring Scheme Based on Multi-Chaos Mapping". Symmetry 12, n.º 3 (1 de marzo de 2020): 350. http://dx.doi.org/10.3390/sym12030350.
Resumen
Smart building control, managing queues for instant points of service, security systems, and customer support can benefit from the number of occupants information known as occupancy. Due to interrupted real-time continuous monitoring capabilities of state-of-the-art cameras, a vision-based system can be easily deployed for occupancy monitoring. However, processing of images or videos over insecure channels can raise several privacy concerns due to constant recording of an image or video footage. In this context, occupancy monitoring along with privacy protection is a challenging task. This paper presents a novel chaos-based lightweight privacy preserved occupancy monitoring scheme. Persons’ movements were detected using a Gaussian mixture model and Kalman filtering. A specific region of interest, i.e., persons’ faces and bodies, was encrypted using multi-chaos mapping. For pixel encryption, Intertwining and Chebyshev maps were employed in confusion and diffusion processes, respectively. The number of people was counted and the occupancy information was sent to the ThingSpeak cloud platform. The proposed chaos-based lightweight occupancy monitoring system is tested against numerous security metrics such as correlation, entropy, Number of Pixel Changing Rate (NPCR), Normalized Cross Correlation (NCC), Structural Content (SC), Mean Absolute Error (MAE), Mean Square Error (MSE), Peak to Signal Noise Ratio (PSNR), and Time Complexity (TC). All security metrics confirm the strength of the proposed scheme.
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Zhang, Yibo, Jianjun Tang y Hui Huang. "Motion Capture and Intelligent Correction Method of Badminton Movement Based on Machine Vision". Mobile Information Systems 2021 (30 de julio de 2021): 1–10. http://dx.doi.org/10.1155/2021/3256924.
Resumen
In recent years, badminton has become more and more popular in national fitness programs. Amateur badminton clubs have been established all over the country, and amateur badminton events at all levels have increased significantly. Due to the lack of correct medical supervision and health guidance, many people have varying degrees of injury during sports. Therefore, it is very important to study the method of badminton movement capture and intelligent correction based on machine vision to provide safe and effective exercise plan for amateur badminton enthusiasts. This article aims to study the methods of motion capture and intelligent correction of badminton. Aiming at the shortcoming of the mean shift algorithm that it is easy to lose the target when the target is occluded or the background is disturbed, this paper combines the mean shift algorithm with the Kalman filter algorithm and proposes an improvement to the combined algorithm. The improved algorithm is added to the calculation of the average speed of the target, which can be used as the target speed when the target is occluded to predict the area where the target may appear at the next moment, and it can also be used as a judgment condition for whether the target is interfered by the background. The improved algorithm combines the macroscopic motion information of the target, can overcome the problem of target loss when the target is occluded and background interference, and improves the robustness of target tracking. Using LabVIEW development environment to write the system software of the Japanese standard tracking robot, the experiment verified the rationality and correctness of the improved target tracking algorithm and motion control method, which can meet the real-time performance of moving target tracking. Experimental results show that 83% of amateur badminton players have problems with asymmetric functions and weak links. Based on machine vision technology, it can provide reliable bottom line reference for making training plans, effectively improve the quality of action, improve the efficiency of action, and promote the development of sports competitive level.
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Brunner, Dominik, Tim Arnold, Stephan Henne, Alistair Manning, Rona L. Thompson, Michela Maione, Simon O'Doherty y Stefan Reimann. "Comparison of four inverse modelling systems applied to the estimation of HFC-125, HFC-134a, and SF<sub>6</sub> emissions over Europe". Atmospheric Chemistry and Physics 17, n.º 17 (11 de septiembre de 2017): 10651–74. http://dx.doi.org/10.5194/acp-17-10651-2017.
Resumen
Abstract. Hydrofluorocarbons (HFCs) are used in a range of industrial applications and have largely replaced previously used gases (CFCs and HCFCs). HFCs are not ozone-depleting but have large global warming potentials and are, therefore, reported to the United Nations Framework Convention on Climate Change (UNFCCC). Here, we use four independent inverse models to estimate European emissions of the two HFCs contributing the most to global warming (HFC-134a and HFC-125) and of SF6 for the year 2011. Using an ensemble of inverse models offers the possibility to better understand systematic uncertainties in inversions. All systems relied on the same measurement time series from Jungfraujoch (Switzerland), Mace Head (Ireland), and Monte Cimone (Italy) and the same a priori estimates of the emissions, but differed in terms of the Lagrangian transport model (FLEXPART, NAME), inversion method (Bayesian, extended Kalman filter), treatment of baseline mole fractions, spatial gridding, and a priori uncertainties. The model systems were compared with respect to the ability to reproduce the measurement time series, the spatial distribution of the posterior emissions, uncertainty reductions, and total emissions estimated for selected countries. All systems were able to reproduce the measurement time series very well, with prior correlations between 0.5 and 0.9 and posterior correlations being higher by 0.05 to 0.1. For HFC-125, all models estimated higher emissions from Spain + Portugal than reported to UNFCCC (median higher by 390 %) though with a large scatter between individual estimates. Estimates for Germany (+140 %) and Ireland (+850 %) were also considerably higher than UNFCCC, whereas the estimates for France and the UK were consistent with the national reports. In contrast to HFC-125, HFC-134a emissions from Spain + Portugal were broadly consistent with UNFCCC, and emissions from Germany were only 30 % higher. The data suggest that the UK over-reports its HFC-134a emissions to UNFCCC, as the model median emission was significantly lower, by 50 %. An overestimation of both HFC-125 and HFC-134a emissions by about a factor of 2 was also found for a group of eastern European countries (Czech Republic + Poland + Slovakia), though with less confidence since the measurement network has a low sensitivity to these countries. Consistent with UNFCCC, the models identified Germany as the highest national emitter of SF6 in Europe, and the model median emission was only 1 % lower than the UNFCCC numbers. In contrast, the model median emissions were 2–3 times higher than UNFCCC numbers for Italy, France, and Spain + Portugal. The country-aggregated emissions from the different models often did not overlap within the range of the analytical uncertainties formally given by the inversion systems, suggesting that parametric and structural uncertainties are often dominant in the overall a posteriori uncertainty. The current European network of three routine monitoring sites for synthetic greenhouse gases has the potential to identify significant shortcomings in nationally reported emissions, but a denser network would be needed for more reliable monitoring of country-wide emissions of these important greenhouse gases across Europe.
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Garinas, Wahyu. "PERBAIKAN MUTU BALL CLAY UNTUK BAHAN BAKU KERAMIK HALUS DENGAN PROSES PENGENDAPAN = THE IMPROVEMENT QUALITY OF BALL CLAY FOR FINE CERAMIC RAW MATERIALS USING PRECIPITATION PROCESS." Majalah Ilmiah Pengkajian Industri 9, n.º 3 (5 de septiembre de 2015): 157–66. http://dx.doi.org/10.29122/mipi.v9i3.1646.
Resumen
Ball clay quality are derived from within the country is very variety and generally rather difficult to get raw materials as needed. This research used ball clay from the West Kalimantan and West Java area.Ball clay is one of the most important raw materials for the manufacture of fine ceramic. To get the ball clay raw materials in accordance with the standards it is necessary to processing of raw materials. Processing of ball clay in this research conducted by precipitation and filtration magnet. Testing of ball clay raw materials are : test chemical composition by wet methods (SNI. 15-0449-1989) and grain size of raw material (SNI.15-0578-1996). Ball clay that has been processed will be tested with the same method of SNI. Test results before and processed will be compared with a standard of quality ball clay(SNI, NGK, India) for fine ceramic materials. The test results of chemical composition and grain size ball clay raw material showed that samples from west kalimantan qualified for fine ceramic materials and samples from other areas did not meet the standards (SNI, NGK, India). ABSTRAKMutu ballclay yang terdapat di dalam negeri sangat beragam dan umumnya agak sulit mendapatkan bahan baku yang sesuai dengan kebutuhan. Pada penelitian ini digunakan ball clay yang berasal dari daerah Kalimantan Barat, Jawa Barat dan Jawa Timur. Ball clay merupakan salah satu bahan baku penting untuk pembuatan keramik halus. Untuk mendapatkan bahan baku ball clay sesuai dengan standar maka perlu dilakukan pengolahan bahan baku. Pengolahan ball clay dalam penelitian ini dilakukan dengan cara pengendapan dan penyaringan magnet. Pengujian terhadap bahan mentah ball clay meliputi : uji komposisi kimia dengan metode basah (SNI. 15-0449-1989) dan pengujian besar butir (SNI.15-0578-1996). Ball clay yang sudah diolah nantinya akan diuji dengan metode SNI yang sama. Hasil uji sebelum dan terolah akan dibandingkan dengan standar mutu ball clay untuk bahan keramik halus. Hasil uji dari komposisi kimia dan besar butir ball clay bahan mentah menunjukan bahwa sampel dari Kalbar memenuhi syarat untuk bahan keramik halus dan sampel dari daerah lainnya ternyata tidak memenuhi standar (SNI, NGK. India).
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Henne, S., D. Brunner, B. Oney, M. Leuenberger, W. Eugster, I. Bamberger, F. Meinhardt, M. Steinbacher y L. Emmenegger. "Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling". Atmospheric Chemistry and Physics Discussions 15, n.º 24 (16 de diciembre de 2015): 35417–84. http://dx.doi.org/10.5194/acpd-15-35417-2015.
Resumen
Abstract. Atmospheric inverse modelling has the potential to provide observation-based estimates of greenhouse gas emissions at the country scale, thereby allowing for an independent validation of national emission inventories. Here, we present a regional scale inverse modelling study to quantify the emissions of methane (CH4) from Switzerland, making use of the newly established CarboCount-CH measurement network and a high resolution Lagrangian transport model. Overall we estimate national CH4 emissions to be 196 ± 18 Gg yr−1 for the year 2013 (1σ uncertainty). This result is in close agreement with the recently revised "bottom-up" estimate of 206 ± 33 Gg yr−1 published by the Swiss Federal Office for the Environment as part of the Swiss Greenhouse Gas Inventory (SGHGI). Results from sensitivity inversions using alternative prior emissions, covariance settings, baseline treatments, two different inverse algorithms (Bayesian and extended Kalman Filter), and two different transport models confirms the robustness and independent character of our estimate. According to the latest "bottom-up" inventory the main CH4 source categories in Switzerland are agriculture (78 %), waste handling (15 %) and natural gas distribution and combustion (6 %). The spatial distribution and seasonal variability of our posterior emissions suggest an overestimation of agricultural CH4 emissions by 10 to 20 % in the most recent national inventory, which is likely due to an overestimation of emissions from manure handling. Urban areas do not appear as emission hotspots in our posterior results suggesting that leakages from natural gas disribution are only a minor source of CH4 in Switzerland. This is consistent with rather low emissions of 8.4 Gg yr−1 reported by the SGHGI but inconsistent with the much higher value of 32 Gg yr−1 implied by the EDGARv4.2 inventory for this sector. Increased CH4 emissions (up to 30 % compared to the prior) were deduced for the north-eastern parts of Switzerland. This feature was common to most sensitivity inversions, which rules out an artefact of the transport model and the inversion system. However, it was not possible to assign an unambiguous source process to the region. The observations of the CarboCount-CH network provided invaluable and independent information for the validation of the national bottom-up inventory. Similar systems need to be sustained to provide independent monitoring of future climate agreements.
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Henne, Stephan, Dominik Brunner, Brian Oney, Markus Leuenberger, Werner Eugster, Ines Bamberger, Frank Meinhardt, Martin Steinbacher y Lukas Emmenegger. "Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling". Atmospheric Chemistry and Physics 16, n.º 6 (21 de marzo de 2016): 3683–710. http://dx.doi.org/10.5194/acp-16-3683-2016.
Resumen
Abstract. Atmospheric inverse modelling has the potential to provide observation-based estimates of greenhouse gas emissions at the country scale, thereby allowing for an independent validation of national emission inventories. Here, we present a regional-scale inverse modelling study to quantify the emissions of methane (CH4) from Switzerland, making use of the newly established CarboCount-CH measurement network and a high-resolution Lagrangian transport model. In our reference inversion, prior emissions were taken from the "bottom-up" Swiss Greenhouse Gas Inventory (SGHGI) as published by the Swiss Federal Office for the Environment in 2014 for the year 2012. Overall we estimate national CH4 emissions to be 196 ± 18 Gg yr−1 for the year 2013 (1σ uncertainty). This result is in close agreement with the recently revised SGHGI estimate of 206 ± 33 Gg yr−1 as reported in 2015 for the year 2012. Results from sensitivity inversions using alternative prior emissions, uncertainty covariance settings, large-scale background mole fractions, two different inverse algorithms (Bayesian and extended Kalman filter), and two different transport models confirm the robustness and independent character of our estimate. According to the latest SGHGI estimate the main CH4 source categories in Switzerland are agriculture (78 %), waste handling (15 %) and natural gas distribution and combustion (6 %). The spatial distribution and seasonal variability of our posterior emissions suggest an overestimation of agricultural CH4 emissions by 10 to 20 % in the most recent SGHGI, which is likely due to an overestimation of emissions from manure handling. Urban areas do not appear as emission hotspots in our posterior results, suggesting that leakages from natural gas distribution are only a minor source of CH4 in Switzerland. This is consistent with rather low emissions of 8.4 Gg yr−1 reported by the SGHGI but inconsistent with the much higher value of 32 Gg yr−1 implied by the EDGARv4.2 inventory for this sector. Increased CH4 emissions (up to 30 % compared to the prior) were deduced for the north-eastern parts of Switzerland. This feature was common to most sensitivity inversions, which is a strong indicator that it is a real feature and not an artefact of the transport model and the inversion system. However, it was not possible to assign an unambiguous source process to the region. The observations of the CarboCount-CH network provided invaluable and independent information for the validation of the national bottom-up inventory. Similar systems need to be sustained to provide independent monitoring of future climate agreements.
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Bhusal, Santosh, Kapil Khanal, Shivam Goel, Manoj Karkee y Matthew Edmund Taylor. "Bird Deterrence in a Vineyard Using an Unmanned Aerial System (UAS)". Transactions of the ASABE 62, n.º 2 (2019): 561–69. http://dx.doi.org/10.13031/trans.12923.
Resumen
Abstract. Washington State growers lose more than $80 million annually to bird damage in fruit crops such as cherries, grapes, Honeycrisp apples, and blueberries. Conventional bird deterrence techniques, such as netting, auditory devices, visual devices, chemical application, falconry, and shooting, are either costly, ineffective, or harmful to birds. At the same time, unmanned aerial systems (UAS) have become popular in military, civilian, and agricultural applications due to decreasing cost, good maneuverability, and their ability to perform multiple types of missions. This article presents an approach using UAS to deter birds and minimize their damage to wine grapes. A quadcopter UAS was flown for three days in September 2016 over a section (30 m × 30 m) of a vineyard to deter birds. The test section of the vineyard was next to a canyon with many trees that provided shelter for a large number of birds. The experimental design included different deterrence methods against birds, including auditory deterrence, visual deterrence, and varying UAS flight patterns. The test section of the vineyard was under continuous video surveillance from 7:00 to 9:00 a.m. using four GoPro cameras for five continuous days, including three days when the UAS was flown. A Gaussian mixture model-based motion detection algorithm was used to detect birds in the videos, a Kalman filter was then used for tracking the detected birds, and bird activities (incoming and outgoing birds) were counted based on the movement of birds across the plot boundary. Two accuracy measures (precision and recall) were calculated to analyze the performance of the automated bird detection and counting system. The results showed that the proposed system achieved a precision of 84% and recall of 87% in counting incoming and outgoing birds. The automated bird counting system was then used to evaluate the performance of the UAS-based bird deterrence system. The results showed that bird activity was more than 300% higher on days with no UAS flights compared to days when the UAS was flown with on-board bird deterrence measures. UAS flights covering the entire experimental plot with auditory deterrence had a better effect than flights with visual deterrence. The results showed the potential for developing an automated bird deterrence system for vineyards and other crops. Extended studies with multi-year, multi-field, and multi-platform experiments are essential to further validate the results. Keywords: Bird deterrence, Fruit crops, Machine vision, Unmanned aerial systems, Vineyards.
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Kiss, Csongor, Bettina Kárai, Zsuzsanna Hevessy, Eszter Szánthó, László Csáthy, Anikó Ujfalusi, Katalin Gyurina, István Szegedi y János Kappelmayer. "Expression of Blood Coagulation Factor Xiiia in Lymphoblasts Predicts Favorable Outcome in Childhood B-Cell Precursor Acute Lymphoblastic Leukemia". Blood 128, n.º 22 (2 de diciembre de 2016): 5283. http://dx.doi.org/10.1182/blood.v128.22.5283.5283.
Resumen
Abstract Introduction: Previously we identified B-cell lineage leukemic lymphoblasts as a new expression site for subunit A of blood coagulation factor XIII (FXIIIA)1. On the basis of FXIIIA expression, various subgroups of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) can be identified. Methods. Fifty-five children with BCP-ALL treated within the frame of BFM ALL-IC 2002 clinical trial were studied retrospectively. Bone marrow samples were obtained by aspiration and the expression of FXIIIA was detected by flow cytometry. G-banding and fluorescent in situ hybridization was performed according to standard procedures. Results. The 10-year event-free survival (EFS) and overall survival (OS) rate of FXIIIA-positive and FXIIIA-negative patients showed significant differences (EFS: 84% vs. 61%, respectively; p=0.031; OS: 89% vs. 61%; p=0.008). Of all the parameters examined, the only correlation was between the lack of FXIIIA expression and 'B-other' genetic subgroup. Further multivariate Cox regression analysis of FXIII-subtype and genetic group or 'B-other' subgroup identified FXIIIA-negative characteristics as an independent predictor for poor outcome in BCP-ALL. Conclusion. We found an excellent correlation between long-term survival and FXIIIA-positive phenotype of lymphoblasts in de novo childhood BCP-ALL. The results presented seem to be convincing enough to suggest a possible role for FXIIIA expression in the prognostic grouping of childhood BCP-ALL patients. In addition, lack of FXIIIA expression is associated with the 'B-other' characteristics, therefore, FXIIIA can help to identify those cases that may require further detailed genetic examination by using expensive methods. Acknowledgment. The authors thank Dr. Erzsebet Balogh for performing the cytogenetic analyses and Csaba Antal for his administrative help. The authors are grateful to Dr. Kalman Nagy and their coworkers at the Borsod-Abaúj-Zemplén County Hospital and University Hospital for sending bone marrow samples for flow cytometry. This study was supported by grant OTKA K-108885 (CK). Authors declare no conflict of interest. References. 1. Kiss F, Hevessy Z, Veszpremi A, Katona E, Kiss C, Vereb G, Muszbek L, Kappelmayer JN. Leukemic lymphoblasts, a novel expression site of coagulation factor XIII subunit A. Thromb Haemost. 2006; 96: 176-82. Legend to figures. Figure 1. Prognostic value of FXIII-A expression of lymphoblasts in children with B-cell precursor ALLKaplan Meier plots of event-free (A) and overall survival (B) showed significant difference between the FXIIIA-positive and FXIII-A-negative groups (p=0.031 and p=0.008). Figure 2. Relationship between FXIIIA expression profile and genetic classification The distribution of patients in the various genetic groups differed significantly in terms of FXIII-A profile using Chi square test. Recurrent genetic abnormalities: BCR-ABL1, KMT2A (MLL) gene rearrangements, ETV6-RUNX1 (TEL-AML1), E2A/PBX1 and high hyperdiploidy. Disclosures No relevant conflicts of interest to declare.
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"Preface". MRS Proceedings 807 (2003). http://dx.doi.org/10.1557/proc-807-1.
Resumen
The symposium “Scientific Basis for Nuclear Waste Management XVII” was held in June 15 – 19, 2003, in Kalmar, Sweden. The symposium, which was officially opened by the County Govenor of Kalmar County, Sven Lindgren, attracted 222 participants from 21 countries. Nearly 200 papers were presented during the three days of scientific sessions.Organizing a symposium this size requires the assistance of a large number of people involved both in establishing the scientific program and in planning and executing the practical organizational arrangements. Our window to the world, the symposium's homepage, was continuously kept up to date through the excellent work of Jonny Rönnfjord.
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Boiko, I. M., N. V. Kuznetsov, R. N. Mokaev, T. N. Mokaev, M. V. Yuldashev y R. V. Yuldashev. "On counter-examples to Aizerman and Kalman conjectures". International Journal of Control, 19 de octubre de 2020, 1–8. http://dx.doi.org/10.1080/00207179.2020.1830304.
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Sweidan, Osama D. "Political Instability and Economic Growth: Evidence from Jordan". Review of Middle East Economics and Finance 12, n.º 3 (1 de enero de 2016). http://dx.doi.org/10.1515/rmeef-2015-0025.
Resumen
AbstractThis paper explores the link between political instability and economic growth in Jordan, which is a lower middle-income country located at the heart of the Middle East. Historically, this region has been living under protracted wars, clashes, violence and terrorist attacks. We can expect these events to influence economic growth via their effect on government spending. We employ two econometric techniques: ARDL model (OLS) and Kalman filter (ML) and use data over the period 1967–2009. We find political instability has a statistically significant negative effect on economic growth as well as on real government expenditures.
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Karakaşlı, Ahmet. "Peroperative Complications and Postoperative Alignment Problems in Patients with Primary Total Hip Replacement". Turkish Journal of Hip Surgery, 2021. http://dx.doi.org/10.5222/tjhs.2021.32932.
Resumen
INTRODUCTION: The application of hip joint arthroplasty in hip joint degenerative diseases improves joint pain. The lower elastic modulus of titanium alloy prostheses in hip prostheses than stainless steel elastic modulus ensures higher bone "bone ingrowing" in titanium alloy prostheses. However, malaligment applications during surgery shorten the life of the prosthesis. The aim of this study is to investigate post-operative alignment and to examine perioperative complications in patients undergoing total hip prosthesis. METHODS: In this study, 122 patients who underwent total hip arthroplasty for degenerative hip joint disease and elderly collum femoris fractures between 2013-2017 were evaluated. Perioperative complications in total hip prostheses and early complications of prosthesis alignment in retrospective early follow-up. RESULTS: 78 of these patients were female, 44 of them were male, the mean age was 66 years (42-87), the mean follow-up period was 27 months (6-48). Intraoperatively, femoral calcar fractures developed in 2 patients while 1.5% femoral component was placed. Malaligment was placed at an average of 6 degrees (3-9 degrees) in 9% valgus position in 11 patients. Intraoperative blood loss was observed on average 855 ml (460-1250 ml) DISCUSSION AND CONCLUSION: The results of the implants produced in our country show similar clinical and radiological results with the results stated in the literature. It is considered to be advantageous in terms of both the contribution to the country's economy and the contribution to the patient's health and being easily available.
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Khan, Rukhsana, Ahmed Waqas, Zille Huma Mustehsan, Amna Saeed Khan, Siham Sikander, Ikhlaq Ahmad, Anam Jamil et al. "Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan". Frontiers in Psychiatry 12 (10 de septiembre de 2021). http://dx.doi.org/10.3389/fpsyt.2021.584287.
Resumen
Objective: To determine the prevalence and association of prenatal depression with socioeconomic, demographic and personal factors among pregnant women living in Kallar Syedan, Rawalpindi, Pakistan.Methods: Five hundred women in the second and third trimester of pregnancy, living in Kallar Syedan, a rural area of district Rawalpindi Pakistan, were included in the study. Depression was assessed using “Patient health questionnaire” (PHQ9) in Urdu, with a cut-off score of 10. Multi-dimensional scale of perceived social support (MSPSS) was used to assess perceived social support. Life Events and Difficulties Schedule (LEDS) were used to measure stressful life events in past 1 year. Tool to assess intimate partner violence (IPV) was based on WHO Multi Country Study on “Women's Health and Domestic Violence against Women.”Results: Prevalence of prenatal depression was found to be 27%. Number of pregnancies was significantly associated with prenatal depression (p < 0.01). Women living in a joint family and those who perceived themselves as moderately satisfied or not satisfied with their life in the next 4 years were found to be depressed (p < 0.01, OR 6.9, CI 1.77–26.73). Depressive symptomatology in women who experienced more than five stressful life events in last 1 year was three times higher (p < 0.001, OR 3.2, CI 1.68–5.98) than in women with 1–2 stressful events. Women who were supported by their significant others or their family members had 0.9 times (p < 0.01, OR 0.9, CI 0.85–0.96) less chance of getting depressed. Pregnant women who were psychologically abused by their partners were 1.5 times more depressed (p < 0.05 CI 1.12–2.51). Odds of having depression was also high in women who had less mean score of MSSI (p < 0.05, OR 1.1, CI 1.01–1.09). Women who had suitable accommodation had 0.5 times less chance of having depression than others (p < 0.05, OR 0.5, CI 0.27–0.92).Conclusion: Over a quarter of the women in the study population reported prenatal depression, which were predicted predominantly by psychosocial variables.
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Bertilsson, Emilie, Birgitta Semark, Kristina Schildmeijer, Anders Bremer y Jörg Carlsson. "Usage of do-not-attempt-to-resuscitate orders in a Swedish community hospital – patient involvement, documentation and compliance". BMC Medical Ethics 21, n.º 1 (1 de agosto de 2020). http://dx.doi.org/10.1186/s12910-020-00510-5.
Resumen
Abstract Background To characterize patients dying in a community hospital with or without attempting cardiopulmonary resuscitation (CPR) and to describe patient involvement in, documentation of, and compliance with decisions on resuscitation (Do-not-attempt-to-resuscitate orders; DNAR). Methods All patients who died in Kalmar County Hospital during January 1, 2016 until December 31, 2016 were included. All information from the patients’ electronic chart was analysed. Results Of 660 patients (mean age 77.7 ± 12.1 years; range 21–101; median 79; 321 (48.6%) female), 30 (4.5%) were pronounced dead in the emergency department after out-of-hospital CPR. Of the remaining 630 patients a DNAR order had been documented in 558 patients (88.6%). Seventy had no DNAR order and 2 an explicit order to do CPR. In 43 of these 70 patients CPR was unsuccessfully attempted while the remaining 27 patients died without attempting CPR. In 2 of 558 (0.36%) patients CPR was attempted despite a DNAR order in place. In 412 patients (73.8%) the DNAR order had not been discussed with neither patient nor family/friends. Moreover, in 75 cases (13.4%) neither patient nor family/friends were even informed about the decision on code status. Conclusions In general, a large percentage of patients in our study had a DNAR order in place (88.6%). However, 27 patients (4.3%) died without CPR attempt or DNAR order. DNAR orders had not been discussed with the patient/surrogate in almost three fourths of the patients. Further work has to be done to elucidate the barriers to discussions of CPR decisions with the patient.
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Kamani, Lubna, Baseer Ahmad Sultan y Hamid Ali Kalwar. "Hepatitis-C Infection: Are we really committed to eliminate? Could it become the second Polio for Pakistan?" Pakistan Journal of Medical Sciences 36, n.º 7 (23 de septiembre de 2020). http://dx.doi.org/10.12669/pjms.36.7.2804.
Resumen
Pakistan’s hepatitis C virus (HCV) burden is one of the highest in the world. Around eight million people live with HCV in Pakistan according to a National Hepatitis Survey. Most HCV-infected people are unaware of their infection status culminating in delayed diagnosis and treatment, progressing to end stage liver disease, cirrhosis, and hepatocellular carcinoma (HCC), thereby raising the disease load for a developing country with limited resources. Blood transfusions and injections with reused syringes lead to increased HCV rates in Pakistan. According to a survey viral infections like hepatitis C, hepatitis B and HIV were not screened in more than half of the blood transfusions done in Pakistan. Hepatitis C elimination requires financial support from the local government and private organizations, commitment from civil societies across the world and a dedicated political will. Without defining effective planning and strategy it is our fear that it could become the second Polio for Pakistan.
doi: https://doi.org/10.12669/pjms.36.7.2804
How to cite this:Kamani L, Ahmad BS, Kalwar HA. Hepatitis-C Infection: Are we really committed to eliminate? Could it become the second Polio for Pakistan? Pak J Med Sci. 2020;36(7):---------. doi: https://doi.org/10.12669/pjms.36.7.2804
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