Artigos de revistas: "Multiple interval graphs"

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Bartlett, Sara M., John T. Rapp, and Marissa L. Henrickson. "Detecting False Positives in Multielement Designs." Behavior Modification 35, no. 6 (2011): 531–52. http://dx.doi.org/10.1177/0145445511415396.

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The authors assessed the extent to which multielement designs produced false positives using continuous duration recording (CDR) and interval recording with 10-s and 1-min interval sizes. Specifically, they created 6,000 graphs with multielement designs that varied in the number of data paths, and the number of data points per data path, using a random number generator. In Experiment 1, the authors visually analyzed the graphs for the occurrence of false positives. Results indicated that graphs depicting only two sessions for each condition (e.g., a control condition plotted with multiple test conditions) produced the highest percentage of false positives for CDR and interval recording with 10-s and 1-min intervals. Conversely, graphs with four or five sessions for each condition produced the lowest percentage of false positives for each method. In Experiment 2, they applied two new rules, which were intended to decrease false positives, to each graph that depicted a false positive in Experiment 1. Results showed that application of new rules decreased false positives to less than 5% for all of the graphs except for those with two data paths and two data points per data path. Implications for brief assessments are discussed.

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Jiang, Minghui. "On the parameterized complexity of some optimization problems related to multiple-interval graphs." Theoretical Computer Science 411, no. 49 (2010): 4253–62. http://dx.doi.org/10.1016/j.tcs.2010.09.001.

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Li, Gen, Tri-Hai Nguyen, and Jason J. Jung. "Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing." Applied Sciences 11, no. 13 (2021): 5861. http://dx.doi.org/10.3390/app11135861.

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With a large of time series dataset from the Internet of Things in Ambient Intelligence-enabled smart environments, many supervised learning-based anomaly detection methods have been investigated but ignored the correlation among the time series. To address this issue, we present a new idea for anomaly detection based on dynamic graph embedding, in which the dynamic graph comprises the multiple time series and their correlation in each time interval. We propose an entropy for measuring a graph’s information injunction with a correlation matrix to define similarity between graphs. A dynamic graph embedding model based on the graph similarity is proposed to cluster the graphs for anomaly detection. We implement the proposed model in vehicular edge computing for traffic incident detection. The experiments are carried out using traffic data produced by the Simulation of Urban Mobility framework. The experimental findings reveal that the proposed method achieves better results than the baselines by 14.5% and 18.1% on average with respect to F1-score and accuracy, respectively.

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Cardoza, Jacqueline E., Carina J. Gronlund, Justin Schott, Todd Ziegler, Brian Stone, and Marie S. O’Neill. "Heat-Related Illness Is Associated with Lack of Air Conditioning and Pre-Existing Health Problems in Detroit, Michigan, USA: A Community-Based Participatory Co-Analysis of Survey Data." International Journal of Environmental Research and Public Health 17, no. 16 (2020): 5704. http://dx.doi.org/10.3390/ijerph17165704.

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The objective of the study was to investigate, using academic-community epidemiologic co-analysis, the odds of reported heat-related illness for people with (1) central air conditioning (AC) or window unit AC versus no AC, and (2) fair/poor vs. good/excellent reported health. From 2016 to 2017, 101 Detroit residents were surveyed once regarding extreme heat, housing and neighborhood features, and heat-related illness in the prior 5 years. Academic partners selected initial confounders and, after instruction on directed acyclic graphs, community partners proposed alternate directed acyclic graphs with additional confounders. Heat-related illness was regressed on AC type or health and co-selected confounders. The study found that heat-related illness was associated with no-AC (n = 96, odds ratio (OR) = 4.66, 95% confidence interval (CI) = 1.22, 17.72); living ≤5 years in present home (n = 57, OR = 10.39, 95% CI = 1.13, 95.88); and fair/poor vs. good/excellent health (n = 97, OR = 3.15, 95% CI = 1.33, 7.48). Co-analysis suggested multiple built-environment confounders. We conclude that Detroit residents with poorer health and no AC are at greater risk during extreme heat. Academic-community co-analysis using directed acyclic graphs enhances research on community-specific social and health vulnerabilities by identifying key confounders and future research directions for rigorous and impactful research.

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Mirnenko, V., P. Yablonsky, V. Tyurin, A. Salii, O. Avramenko, and M. Kasianenko. "Determination of Efficiency of Weapon Systems Maintenance as Condition for DM Distribution." Advances in Military Technology 17, no. 2 (2022): 325–39. http://dx.doi.org/10.3849/aimt.01463.

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The article discusses the mathematical model of technical condition-based maintenance of weapon systems. The model his developed based on a semi-Markov stochastic process. The diffusion-monotonic (DM) distribution law, which is specific for airfield technical condition-based maintenance of aircraft, is has been used as a failure model, and type I errors are considered. For standard operating conditions, graphs of the dependence of the coefficient of technical use and specific costs per hour of operation in good condition from the basic parameters are shown. The optimal maintenances interval ensuring maximum maintenance coefficient value has been proved. The principal results have been achieved by using multiple calculation method.

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Castelnovo, A., R. Ferri, K. Tanioka, et al. "1122 Sleep Architecture and Leg Movement Activity During Sleep in Patients with Multiple Sclerosis." Sleep 43, Supplement_1 (2020): A427—A428. http://dx.doi.org/10.1093/sleep/zsaa056.1117.

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Abstract Introduction Although sleep in patients with Multiple Sclerosis (MS) has been investigated in several studies using subjective measures, objective sleep data collected using polysomnography (PSG) are still scanty and often divergent. We herein present the largest study to date evaluating sleep architecture and total leg movement activity during sleep (LMS) in patients with MS. Methods We collected PSG recordings from 80 patients affected by multiple sclerosis (MS, 48.1±10.61yo 67.5% females), and 60 age and gender matched healthy control subjects (HC, 48.5±17.20 yo, 56% females). Group differences were computed using non-parametric statistics for all traditional sleep architecture parameters, LMS, short-interval (SILMS), periodic (PLMS), isolated LMS (ISOLMS) indices and duration, inter-movement interval (IMI) graphs and time-of-night distribution of LMS. Results Patients with MS showed a significantly decreased total sleep period, an increased number of awakenings and stages shifts per hour of sleep, and an increased representation of stage 1 (min and %) compared to the HC group; 26 (32.5%) MS patients had PLMS ≥15/hour versus 8 (13.3%) HC subjects. On average, the comparison between MS and HC groups yielded significant results in terms of an increase in LMS, PLMS, SILMS and ISOLMS indices but not durations. Moreover, MS patients displayed a higher periodicity index, an increased PLMS activity at all inter-movement intervals considered and their PLMS time-of-night distribution revealed that the PLMS increase was stable over the course of the night. Conclusion Sleep continuity is significantly impaired in patients with MS. Moreover, MS patients also an increased total LMS activity, including PLMS, which may contribute to disrupt sleep continuity. A disinhibition of lower spinal network due to cervical or supraspinal MS lesions might be implicated in the mechanisms underlying this latter finding. Support The Employer Department of Neurology, Regional Hospital Lugano (EOC), Lugano, Switzerland receives financial support from Teva, Merck Serono, Biogen Idec, Bayer Schering, Genzyme, Roche and Novartis. The submitted work is not related to these agreements.

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Milac, Thomas I., Frederick R. Adler, and Gerald R. Smith. "Maximal Power Tests for Detecting Defects in Meiotic Recombination." Genetics 161, no. 3 (2002): 1333–37. http://dx.doi.org/10.1093/genetics/161.3.1333.

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Abstract We have determined the marker separations (genetic distances) that maximize the probability, or power, of detecting meiotic recombination deficiency when only a limited number of meiotic progeny can be assayed. We find that the optimal marker separation is as large as 30–100 cM in many cases. Provided the appropriate marker separation is used, small reductions in recombination potential (as little as 50%) can be detected by assaying a single interval in as few as 100 progeny. If recombination is uniformly altered across the genomic region of interest, the same sensitivity can be obtained by assaying multiple independent intervals in correspondingly fewer progeny. A reduction or abolition of crossover interference, with or without a reduction of recombination proficiency, can be detected with similar sensitivity. We present a set of graphs that display the optimal marker separation and the number of meiotic progeny that must be assayed to detect a given recombination deficiency in the presence of various levels of crossover interference. These results will aid the optimal design of experiments to detect meiotic recombination deficiency in any organism.

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Hussam, Eslam, Randa Alharbi, Ehab M. Almetwally, Bader Alruwaili, Ahmed M. Gemeay, and Fathy H. Riad. "Single and Multiple Ramp Progressive Stress with Binomial Removal: Practical Application for Industry." Mathematical Problems in Engineering 2022 (April 28, 2022): 1–21. http://dx.doi.org/10.1155/2022/9558650.

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The objective of this article is to conduct a full study on the failure times of items when subjected to a progressive-stress accelerated life test. These failure times follow the Modified Kies exponential distribution. We performed the experiments under a type-II censoring scheme with binomial removal. The stress design has two ways to be applied either the simple ramp-stress test or the multiple ramp-stress level design of acceleration. We made a comparison between these two designs to decide which design is better. When the lifetime of test units follows the Modified Kies distributions, the cumulative exposure model has been used to apply the acceleration on the failure times to produce early failures. The simulation study was done to compare two types of progressive-stress designs. Different estimation techniques such as maximum likelihood estimation and Bayes estimation are employed to estimate the model parameters. The Metropolis Hasting method is used to derive the Bayesian estimates under symmetric and asymmetric loss functions. We also developed interval estimation as well as point estimation, and we estimated the asymptotic confidence intervals, bootstrap, and credible for the distribution parameters. We made a comparison between different estimation methods. We used real data from a practical experiment as a real data set example to assess the performance of the estimations methods. These data are analyzed to demonstrate the adequacy and superiority of the distribution to fit accelerated failure times. Also, we studied the existence and uniqueness of the roots and we used graphs to assure that the estimates used are unique and global maximum. Finally, some noteworthy conclusions are reached.

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Bosma, LVAE, JJ Kragt, L. Brieva, et al. "Progression on the Multiple Sclerosis Functional Composite in multiple sclerosis: what is the optimal cut-off for the three components?" Multiple Sclerosis Journal 16, no. 7 (2010): 862–67. http://dx.doi.org/10.1177/1352458510370464.

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For the Timed 25-Foot Walk (T25FW) and 9-Hole Peg Test (9HPT), components of the Multiple Sclerosis Functional Composite (MSFC), cut-off points of 20% change have previously been defined as meaningful endpoints of functional decline. Recently, however, a 15% change of MSFC components was introduced. The objective of this study was to determine optimal cut-offs for all MSFC components to indicate clinical disease progression in a primary progressive (PP) multiple sclerosis (MS) population. T25FW, 9HPT and the Paced Auditory Serial Addition Test (PASAT) were performed in 161 patients with PPMS with a 2-year interval. Absolute and relative differences in test scores were calculated. For each cut-off point of relative change, proportions of patients who progressed (deterioration beyond cut-off value) and improved (improvement beyond cut-off value) were calculated. Further, we calculated the ratio of ‘improved’ versus ‘progressed’ patients. Line graphs were created indicating: percentage progressed patients, percentage improved patients, and ratio of improved versus progressed patients. The optimal cut-off was determined by searching the cut-off point with the lowest ratio of improved versus progressed patients, while at the same time capturing a substantial amount of progression. For both T25FW and 9HPT, the ratio between patients that improved and worsened clearly decreased between the cut-offs of 15% and 20%. For the PASAT, the ratio between patients improved and worsened was persistently poor. In conclusion, a cut-off of 20% for both T25FW and 9HPT has a better signal-to-noise ratio than lower values (e.g. 15%) and is therefore preferable for the assessment of disease progression. No satisfactory cut-off point for the PASAT could be determined.

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Hanaka, Tesshu, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, and Yota Otachi. "A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 3968–76. http://dx.doi.org/10.1609/aaai.v37i4.25511.

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Finding a \emph{single} best solution is the most common objective in combinatorial optimization problems. However, such a single solution may not be applicable to real-world problems as objective functions and constraints are only ``approximately'' formulated for original real-world problems. To solve this issue, finding \emph{multiple} solutions is a natural direction, and diversity of solutions is an important concept in this context. Unfortunately, finding diverse solutions is much harder than finding a single solution. To cope with the difficulty, we investigate the approximability of finding diverse solutions. As a main result, we propose a framework to design approximation algorithms for finding diverse solutions, which yields several outcomes including constant-factor approximation algorithms for finding diverse matchings in graphs and diverse common bases in two matroids and PTASes for finding diverse minimum cuts and interval schedulings.

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Wu, Jieying, Shan Ye, Xiangyi Liu, Yingsheng Xu, and Dongsheng Fan. "The burden of upper motor neuron involvement is correlated with the bilateral limb involvement interval in patients with amyotrophic lateral sclerosis: a retrospective observational study." Neural Regeneration Research 20, no. 5 (2024): 1505–12. http://dx.doi.org/10.4103/nrr.nrr-d-23-01359.

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JOURNAL/nrgr/04.03/01300535-202505000-00032/figure1/v/2024-07-28T173839Z/r/image-tiff Amyotrophic lateral sclerosis is a rare neurodegenerative disease characterized by the involvement of both upper and lower motor neurons. Early bilateral limb involvement significantly affects patients’ daily lives and may lead them to be confined to bed. However, the effect of upper and lower motor neuron impairment and other risk factors on bilateral limb involvement is unclear. To address this issue, we retrospectively collected data from 586 amyotrophic lateral sclerosis patients with limb onset diagnosed at Peking University Third Hospital between January 2020 and May 2022. A univariate analysis revealed no significant differences in the time intervals of spread in different directions between individuals with upper motor neuron-dominant amyotrophic lateral sclerosis and those with classic amyotrophic lateral sclerosis. We used causal directed acyclic graphs for risk factor determination and Cox proportional hazards models to investigate the association between the duration of bilateral limb involvement and clinical baseline characteristics in amyotrophic lateral sclerosis patients. Multiple factor analyses revealed that higher upper motor neuron scores (hazard ratio [HR] = 1.05, 95% confidence interval [CI] = 1.01–1.09, P = 0.018), onset in the left limb (HR = 0.72, 95% CI = 0.58–0.89, P = 0.002), and a horizontal pattern of progression (HR = 0.46, 95% CI = 0.37–0.58, P < 0.001) were risk factors for a shorter interval until bilateral limb involvement. The results demonstrated that a greater degree of upper motor neuron involvement might cause contralateral limb involvement to progress more quickly in limb-onset amyotrophic lateral sclerosis patients. These findings may improve the management of amyotrophic lateral sclerosis patients with limb onset and the prediction of patient prognosis.

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Deriba, Berhanu Senbeta, Elias Teferi Bala, Gizachew Abdissa Bulto, et al. "Determinants of Anemia among Pregnant Women at Public Hospitals in West Shewa, Central Ethiopia: A Case-Control Study." Anemia 2020 (November 28, 2020): 1–9. http://dx.doi.org/10.1155/2020/2865734.

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Introduction. Anemia is highly dominant among pregnant women due to the need for iron for women themselves and their fetuses. Nearly half a billion globally and around one-third in Ethiopia of pregnant women were affected by anemia which has both health and economic impact. Therefore, this study aimed to identify the determinants of anemia among pregnant women attending antenatal care at public hospitals in the West Shewa zone, Oromia regional state, Central Ethiopia, 2019. Methods. An unmatched case-control study was conducted at public hospitals in the West Shewa zone, Ethiopia, from February to April 2019. A consecutive sampling was used to select study participants. Data were collected by a structured questionnaire, and the collected data were entered into Epi Info version 7 and SPSS version 23 for analyses. Descriptive statistics such as tables, graphs, and proportions were used to present the data. Binary and multiple logistic regression analyses were computed to identify the determinants of anemia. Adjusted odds ratio (AOR) with 95% confidence interval (CI) and p value <0.05 were used to determine the presence of an association. Result. A total of 426 women (142 cases and 284 controls) participated in this study with a 95.3% response rate. Family size >5 (AOR = 2.95, 95% CI: 1.34–6.50), peptic ulcer diseases (PUD) (AOR = 2.85, 95% CI: 1.14–7.13), having the previous history of abortion (AOR = 2.84, 95% CI: 1.08–7.47), birth interval <2 years (AOR = 2.61, 95% CI: 1.20–5.70), antepartum hemorrhage (APH) (AOR = 6.05, 95% CI: 1.95–18.81), and not using latrine (AOR = 3.45, 95% CI: 1.30–9.24) were the identified determinants of anemia. Conclusions. Family size, PUD, abortion, birth interval, APH, and unable to use latrine were the determinants of anemia among pregnant women. Therefore, the intervention on anemia prevention should consider the promotion of family planning methods and counseling on latrine utilization.

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Li, Cheng, Wenbo Pan, Xiwen Yuan, et al. "High-Precision Map Construction in Degraded Long Tunnel Environments of Urban Subways." Remote Sensing 16, no. 5 (2024): 809. http://dx.doi.org/10.3390/rs16050809.

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In response to the demand for high-precision point cloud mapping of subway trains in long tunnel degradation scenarios in major urban cities, we propose a map construction method based on LiDAR and inertial measurement sensors. This method comprises a tightly coupled frontend odometry system based on error Kalman filters and backend optimization using factor graphs. In the frontend odometry, inertial calculation results serve as predictions for the filter, and residuals between LiDAR points and local map plane point clouds are used for filter updates. The global pose graph is constructed based on inter-frame odometry and other constraint factors, followed by a smoothing optimization for map building. Multiple experiments in subway tunnel scenarios demonstrate that the proposed method achieves robust trajectory estimation in long tunnel scenes, where classical multi-sensor fusion methods fail due to sensor degradation. The proposed method achieves a trajectory consistency of 0.1 m in tunnel scenes, meeting the accuracy requirements for train arrival, parking, and interval operations. Additionally, in an industrial park scenario, the method is compared with ground truth provided by inertial navigation, showing an accumulated error of less than 0.2%, indicating high precision.

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Wang, Lin, Nanfang Li, Mulalibieke Heizhati, et al. "Association of Depression with Uncontrolled Hypertension in Primary Care Setting: A Cross-Sectional Study in Less-Developed Northwest China." International Journal of Hypertension 2021 (March 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/6652228.

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Background. Hypertensive patients commonly experience comorbid depression, which is closely associated with adverse health outcomes. This study aimed to examine the association between depression and uncontrolled hypertension in primary care setting of Northwest China. Methods. We used a stratified multistage random sampling method to obtain 1856 hypertensives subjects aged ≥18 years among primary care setting in Xinjiang, Northwest China, between April and October 2019. Depression was evaluated by Hospital Anxiety and Depression Scale (HADS), with a cut-off score ≥8. We related depression to uncontrolled hypertension, using multiple logistic regression, adjusting for minimally sufficient adjustment set of variables retrieved from a literature-based directed acyclic graphs (DAGs) and optimal adjustment set of variables derived from the least absolute shrinkage and selection operator (LASSO) regression. Results. A total of 1,653 (89.1%) patients had uncontrolled hypertension. The prevalence of depression was 14.5% and 7.4% among patients with uncontrolled and controlled hypertension. Depression was associated with 1.12-fold increased odds of uncontrolled hypertension [odds ratio (OR) 2.12, 95% confidence interval (CI): 1.23–3.65]. The association remained significant even after adjusting for the minimal sufficient adjustment sets and the optimal adjustment set of variables. Conclusion. Depression is significantly associated with uncontrolled hypertension in primary care setting of northwest China. The integrated management of depression and hypertension in the setting might be warranted.

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Waters, Erika A., Julia Maki, Ying Liu, et al. "Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases." Medical Decision Making 41, no. 1 (2020): 74–88. http://dx.doi.org/10.1177/0272989x20968070.

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Background Personalized medicine may increase the amount of probabilistic information patients encounter. Little guidance exists about communicating risk for multiple diseases simultaneously or about communicating how changes in risk factors affect risk (hereafter “risk reduction”). Purpose To determine how to communicate personalized risk and risk reduction information for up to 5 diseases associated with insufficient physical activity in a way laypeople can understand and that increases intentions. Methods We recruited 500 participants with <150 min weekly of physical activity from community settings. Participants completed risk assessments for diabetes, heart disease, stroke, colon cancer, and breast cancer (women only) on a smartphone. Then, they were randomly assigned to view personalized risk and risk reduction information organized as a bulleted list, a simplified table, or a specialized vertical bar graph (“risk ladder”). Last, they completed a questionnaire assessing outcomes. Personalized risk and risk reduction information was presented as categories (e.g., “very low”). Our analytic sample ( N = 372) included 41.3% individuals from underrepresented racial/ethnic backgrounds, 15.9% with vocational-technical training or less, 84.7% women, 43.8% aged 50 to 64 y, and 71.8% who were overweight/obese. Results Analyses of covariance with post hoc comparisons showed that the risk ladder elicited higher gist comprehension than the bulleted list ( P = 0.01). There were no significant main effects on verbatim comprehension or physical activity intentions and no moderation by sex, race/ethnicity, education, numeracy, or graph literacy ( P > 0.05). Sequential mediation analyses revealed a small beneficial indirect effect of risk ladder versus list on intentions through gist comprehension and then through perceived risk ( bIndirectEffect = 0.02, 95% confidence interval: 0.00, 0.04). Conclusion Risk ladders can communicate the gist meaning of multiple pieces of risk information to individuals from many sociodemographic backgrounds and with varying levels of facility with numbers and graphs.

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Kuipers, J., G. Moffa, E. Kuipers, D. Freeman, and P. Bebbington. "Links between psychotic and neurotic symptoms in the general population: an analysis of longitudinal British National Survey data using Directed Acyclic Graphs." Psychological Medicine 49, no. 3 (2018): 388–95. http://dx.doi.org/10.1017/s0033291718000879.

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AbstractBackgroundNon-psychotic affective symptoms are important components of psychotic syndromes. They are frequent and are now thought to influence the emergence of paranoia and hallucinations. Evidence supporting this model of psychosis comes from recent cross-fertilising epidemiological and intervention studies. Epidemiological studies identify plausible targets for intervention but must be interpreted cautiously. Nevertheless, causal inference can be strengthened substantially using modern statistical methods.MethodsDirected Acyclic Graphs were used in a dynamic Bayesian network approach to learn the overall dependence structure of chosen variables. DAG-based inference identifies the most likely directional links between multiple variables, thereby locating them in a putative causal cascade. We used initial and 18-month follow-up data from the 2000 British National Psychiatric Morbidity survey (N = 8580 and N = 2406).ResultsWe analysed persecutory ideation, hallucinations, a range of affective symptoms and the effects of cannabis and problematic alcohol use. Worry was central to the links between symptoms, with plausible direct effects on insomnia, depressed mood and generalised anxiety, and recent cannabis use. Worry linked the other affective phenomena with paranoia. Hallucinations were connected only to worry and persecutory ideation. General anxiety, worry, sleep problems, and persecutory ideation were strongly self-predicting. Worry and persecutory ideation were connected over the 18-month interval in an apparent feedback loop.ConclusionsThese results have implications for understanding dynamic processes in psychosis and for targeting psychological interventions. The reciprocal influence of worry and paranoia implies that treating either symptom is likely to ameliorate the other.

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Guddu, Dessalegn Keney, and Dereje Bayissa Demissie. "Patient satisfaction with referral service and associated factors among public hospitals in and around Addis Ababa, Central Ethiopia." SAGE Open Medicine 10 (January 2022): 205031212210894. http://dx.doi.org/10.1177/20503121221089443.

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Objective: Studies in sub-Saharan Africa have shown that patient satisfaction with referral procedures and systems is low due to multiple factors. Despite the challenges on patient satisfaction with referral service in Ethiopia, there are only limited studies on overall satisfaction and associated factors with referral services of the hospitals. The purpose of this study was to determine patient satisfaction with referral services and related characteristics among patients referred to referral hospitals in Central Ethiopia, in the year 2021. Methods: A facility-based multi-center cross-sectional study was conducted at public hospitals in and around Addis Ababa using both quantitative and qualitative data collection methods. The hospitals were selected using a simple random sampling method from the list. Data were collected from 317 referral forms and chart reviews, 310 patient interviews, 27 focused group discussions, and 16 insider observations. The collected data were coded and entered into EPI INFO version 7 and transferred to SPSS version 25 for further analysis. Both binary and multivariable logistic regression models were computed to see the association between independent versus outcome variables. The findings were taken as significant with a p value of <0.05 at 95% confidence interval and results were presented with text, graphs, figures, and tables. Result: Overall level of patients’ satisfaction of referral services in Central Ethiopia was 73.5%, confidence interval (67.9%–81.1 %,) and near 85% of the participants had got an examination by the respective health care worker on arrival. This study identified that factors that increase odds of patient satisfaction toward referral services were status of communication (adjusted odd ratio 44.09 (95% confidence interval, 5.47, 355.68), perceived level of experience of health providers who handle the referral process (adjusted odd ratio 6.42 (95% confidence interval, 1.20, 34.42) and coordination status of the hospitals during referral acceptance (adjusted odd ratio 35.50 (95% confidence interval, 4.87, 258.60) and these were significantly associated with patient’s satisfaction toward referral services. Referral without communication among hospitals was stated as the leading challenge by focused group discussants and very limited practice on referral feedback was reported by insider observers. Conclusion: This study determined that the overall level of patient satisfaction toward referral services in Central Ethiopia was moderate with identified factors that increase odds of patient satisfaction toward referral system being the way of communication, health provider’s experience, and coordination status of the hospitals on referral acceptance. Hence, policymakers and the ministry of health would better consider the aforementioned factors during referral program development and training for improvement of patients’ satisfaction with referral services.

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Mansoor Sultan, Mir, Adeeba Younus, Durre Shahwar Fatima, Faria Mushtaq, and Salma Tasneem. "CLINICAL OBSERVATION OF TREATMENT EFFICACY IN SEPSIS: A PROSPECTIVE STUDY." International Journal of Advanced Research 12, no. 02 (2024): 265–71. http://dx.doi.org/10.21474/ijar01/18291.

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Objective: To examine the safety and efficacy associated with various treatment approaches and to identify trends and variations in the management of severe sepsis, including the usage of antibiotics, and supportive care. To examine factors associated with improved or worsened outcomes in severe sepsis cases, such as patient demographics, comorbidities, or timing of treatment. Design: A hospital-based prospective study was done on all inpatients and outpatients in Princess DurruShehvar Childrens & General Hospital, Hyderabad, Telangana for 6 months. Methods: The data collection form and patient consent form were designed for this study. It comprises information regarding the study subjects data such as demographics, medical and medication history, laboratory investigations, diagnosis, present prescribed medication, and progress chart. Investigators collected the relevant data and recorded it in data collection form. The prescription will be selected based on inclusion criteria and exclusion criteria. The data obtained was compiled and analysed using appropriate statistical tests. Quantitative variables were summarized using descriptive studies (percentages, mean, standard deviation, number of observations). The data was statistically analyzed using spss and pair t test, graphs, pie diagrams, and bar graphs. Results A total of 115 patients were included in this prospective study and 60% of them show culture sensitivity. Meropenem was found to be the most potent antibiotic. The analysis of the treatments impact reveals noteworthy outcomes across multiple parameters. The intervention demonstrates a significant effect in reducing systolic blood pressure, although no major influence on diastolic blood pressure is observed. Regarding erythrocyte sedimentation rate (ESR), a substantial and statistically significant decrease is indicated post-treatment. Notably, arterial blood gas (ABG) levels exhibit a considerable difference pre- and post-treatment, with a p-value below 0.05, suggesting a rejection of the null hypothesis. Additionally, the treatment is associated with a significant increase in total leukocyte counts, as evidenced by the positive mean difference and a 95% confidence interval entirely above zero. These findings underscore the diverse impacts of the treatment on various physiological markers. Conclusion Prospective sepsis treatment studies offer a nuanced grasp of real-world effectiveness, linking controlled experiments to clinical reality. Despite biases, they contribute to evidence-based strategies, acknowledging clinical complexities. This practical approach guides healthcare professionals with adaptable, patient-centered methods. Emphasis on rigorous statistical methodologies enhances comprehension. Integrating observational and experimental data enriches our understanding of sepsis management. Overall, these studies shape holistic approaches for effective treatment.

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Chuko, Bacha Merga, Fikru Assefa Kibrat, Zufela Sime Gari, et al. "Determinants of Syphilis among Pregnant Women Attending Antenatal Care Clinic at Public Hospital in South West Shoa, Ethiopia, Unmatched Case-control Study, 2023." Archives of Obstetrics and Gynaecology 5, no. 3 (2024): 129–39. http://dx.doi.org/10.33696/gynaecology.5.072.

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Background: Syphilis is an infectious, sexually transmitted disease caused by the Spirochete Treponema palladium. Untreated maternal syphilis causes adverse pregnancy outcomes such as spontaneous miscarriage, low birth weight, neonatal death, and congenital syphilis. This is a limited case control study to identify determinants of syphilis infections at the study area. Objectives: The aim of this study is to identify determinants of syphilis infections among pregnant women attending ANC clinic at Public hospital in South West Shoa, Ethiopia, 2023. Methods: A facility based unmatched case-control study among 240 women (48 case and 192 control) with 1:4 ratios were conducted from March 10, 2023–May 20, 2023, among pregnant women attending antenatal care follow up at public hospital, South West Shoa. Cases were selected by convenience and systematic sampling techniques were employed to select control and data was collected by using structured and pretested questionnaire. The collected data were entered into Epi info version 7.2.2 and exported to SPSS version 25 for analysis. Variables having p-value <0.25 in the bi-variable analysis were entered into logistic regression model for multi variable analysis. Statistical significance was declared at p-value <0.05. Adjusted odd ratio along with 95% confidence interval was used to show strength of association. The results were presented using text, tables, and graphs. Results: In this study 235 women (47 cases and 188 controls) had completed the interview resulting in a response rate of 97.92%. After multivariable logistic regression analysis, significantly associated factors with syphilis infection were status of current pregnancy [AOR = 2.697, 95% CI (1.003-7.249, ANC follow-up [AOR = 4.556, 95% CI (1.759-11.80)], history of STI [AOR = 3.080, 95% CI (1.347-7.043)], alcohol intake [AOR = 3.965, 95% CI (1.56-10.078)], age at first sexual intercourse [AOR = 8.951, 95% CI (3.70-21.646)], and multiple sexual partners [AOR = 2.754, 95% CI (1.065-7.118)]. Conclusion: Status of current pregnancy, ANC follow-up, history of STI, alcohol intake, age at first sexual intercourse, and multiple sexual partners were variables significantly associated with syphilis infections among pregnant women. Therefore, health care providers and managers should focus to give health education on these determinants, and strengthening early diagnosis and treatment for syphilis infections among pregnant women.

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Kuo, Chung-Feng Jeffrey, Te-Li Su, Chao-Yang Huang, Han-Chang Liu, Jagadish Barman, and Indira Kar. "Design and Development of a Symbiotic Agrivoltaic System for the Coexistence of Sustainable Solar Electricity Generation and Agriculture." Sustainability 15, no. 7 (2023): 6011. http://dx.doi.org/10.3390/su15076011.

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The symbiotic photovoltaic (PV) electrofarming system introduced in this study is developed for the PV setup in an agriculture farming land. The study discusses the effect of different PV system design conditions influenced by annual sunhours on agricultural farm land. The aim is to increase the sunhours on the PV panel for optimized electricity generation. Therefore, this study combines the Taguchi method with Grey Relational Analysis (GRA) to optimize the two quality characteristics of the symbiotic electrofarming PV system with the best design parameter combination. The selected multiple quality characteristics are PV power generation and sunhours on farm land. The control factors include location, upright column height, module tilt angle, and PV panel width. First, the Taguchi method is used to populate a L9(34) orthogonal array with the settings of the experimental plan. After the experimental results are obtained, signal-to-noise ratios are calculated, factor response tables and response graphs are drawn up, and analysis of variance is performed to obtain those significant factors which have great impact on the quality characteristics. The experiments show that the parameters which effects power generation are: location, upright column height, module tilt angle, and PV panel width. The ranking of the degree of influence of the control factors on the quality characteristics is location > PV panel width > module tilt angle > upright column height. By controlling these factors, the quality characteristics of the system can be effectively estimated. The results for PV power generation and sunhours on farm land both fall within the 95% CI (confidence interval), which shows that they are reliable and reproducible. The optimal design parameter realized in this research obtains a power generation of 26,497 kWh and a sunshine time of 1963 h. The finding showed that it can help to build a sustainable PV system combined with agriculture cultivation.

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Adomah-Afari, Augustine, and Ebenezer Arkoh Ameyaw. "The Push and Pull Factors in the Retention of Health Workers in a District in Ghana." Asian Journal of Research in Medical and Pharmaceutical Sciences 12, no. 4 (2023): 104–21. http://dx.doi.org/10.9734/ajrimps/2023/v12i4235.

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Aim: To assess the push and pull factors associated with the retention of health workers in a district in Ghana. Study Design: This study was an analytical cross-sectional study using quantitative methods in the collection of data. Place and Duration of Study: Komenda-Edina-Eguafo-Abirem District of the Central Region of Ghana in October 2022. Methodology: A structured self-administered questionnaire was used to obtain data from 282 health workers who were consecutively selected from various health facilities in the study. The data collected was cleaned and analyzed using the statistical software STATA version 15. Descriptive statistics were presented in tables and graphs. A Chi-square test and multiple logistic regression analysis were used to assess the association between dependent and independent variables. The significance of association was set at P<0.05 at a 95% confidence interval.  Results: Overall, 22.0% of the health workers intended to stay at their current organization. Logistic regression analysis predicted that age more than 35 years (AOR: 3.4, CI: 1.025 -11.283, P = .046) and sex - females (AOR: 0.56, CI: 0.016 - 0.223, P = .001) were significantly associated with retention. Institutional factors like lack of supervision of work (AOR: 0.508, CI: 0.176 – 1.472, P = .021), lack of in-service training (AOR:0.045, CI: 0.010 - 0.193, P = .001), inadequate management support (AOR: 0.288, CI: 0.109 – 0.764, P = .012), and poor career progression (AOR: 0.472, CI: 0.019 - 1.873, P = .028) significantly reduced the likelihood of staying. Community factors like the absence of family (AOR: 0.138, CI: 0.051 – 0.376, P = .001) and the absence of alternative jobs (AOR: 0.051, CI: 0.006 – 0.459, P = .008) also negatively predicted retention.  Conclusion: Only a small proportion of health workers in the district intended to stay. Factors related to retention were predominantly organizational like career progression, management support, and incentives.

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Deriba, Berhanu Senbeta, Agumas Fentahun Ayalew, and Addis Adera Gebru. "Determinants of preterm birth in public hospitals in central Ethiopia: an unmatched case-control study." F1000Research 10 (August 6, 2021): 773. http://dx.doi.org/10.12688/f1000research.50974.1.

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Background: Around 15 million babies are born prematurely in the world every year. The most common cause of neonatal death in Ethiopia is premature birth. To reduce the rate of preterm delivery by correcting modifiable or preventable causes, the availability of local data is important. Hence, this study aimed to identify the determinants of preterm birth among women who gave birth in public hospitals in central Ethiopia. Methods: An Institutional-based unmatched case-control study was conducted at public hospitals in central Ethiopia to select 170 cases and 340 controls. The collected data were entered into EPI INFO and transferred to SPSS for analysis. Tables, graphs, and proportions were used to present the results. Binary and multiple logistic regressions analysis were computed to identify determinants of preterm birth. Adjusted Odds Ratio (AOR), 95% Confidence Interval (CI), and a p-value < 0.05 were computed to determine the presence of an association between preterm birth and independent variables. Results: A total of 166 cases and 332 controls participated in the study, giving a response rate of 97.6%. Cigarette smoking (AOR=3.77, 95% CI=1.35,10.56), alcohol consumption (AOR=1.85, 95% CI=1.11,3.10), wanted but unplanned pregnancy (AOR=3,95% CI=1.68,5.34), neither wanted nor planned pregnancy(AOR=3.61% CI=1.62,8.06), lack of antenatal care (ANC) visits (AOR=4.13, 95% CI=1.95, 8.74), adverse birth outcomes (AOR=5.66, 95% CI=2.88,11.12), presence of a diagnosed illness (AOR=2.81, 95% CI=1.37, 5.76), presence of one or more of obstetrics complications(AOR=6.44, 95% CI=5.49, 3.35, 9), and hemoglobin level < 11g/dl (AOR=2.78, 95% CI=1.48, 5.22) were determinants of preterm birth. Conclusion:-In this study, cigarette smoking status, alcohol drinking status, pregnancy status, adverse birth outcomes, ANC visits, obstetric complications, presence of medical illness, and anemia were identified as determinants of preterm birth. It is important to encourage such women to attend ANC visits, stop smoking, and abstain from alcohol.

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Alekseev, Valery I. "Forecasting changes in the earth’s climate system by instrumental measurements and paleodata in the phase-time region, consistent with changes in the barycentric motions of the sun. Part 1." Yugra State University Bulletin 20, no. 2 (2024): 74–96. http://dx.doi.org/10.18822/byusu20240274-96.

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The relevance of the research is due to the need to establish the root cause of climate change on Earth and predict changes in heliocosmic, climatic variables, natural disasters by intramental measurements and paleodata, as time series, for long intervals of the time horizon in the phase domain, taking into account their cyclicity and interdependence of changes. Purpose of research: application of the time series analysis method of the time series to establish the strength of the influence of the barycentric movements of the Sun on the variability of heliocosmic, climatic variables, natural disasters and fires, high-precision prediction of variables in the phase-time domain for long horizons of hundreds and thousands of years by instrumental measurements and paleodata. Objects of research: time series of changes in heliocosmic and climatic variables, natural disasters and fires, curves of changes in climatic changes obtained by analysis of ice cores in Antarctica and bottom sediments in Antarctica. Methods of research: wavelet phase-frequency and phase-time analysis of images of heliocosmic and climatic variables, natural disasters and fires; calculation of the consistency of changes in selected groups on a set of phase-time characteristics of variables in a sliding mode. Main results of research: In the images of wavelet phase-time functions of many variables constructed from observations in 1600–2010, Jose periods of ~178 years were found, which are contained in changes in the characteristics of barycentric movements of the Sun, solar activity, solar constant, CO2,N2OEl Nino, solar wind, the level of the Caspian Sea, temperature in Greenland, the speed of rotation of the Earth, snow accumulation rates in the Indian Ocean sector of Antarctica, global temperature; cyclicity of changes in heliocosmic and climatic variables are consistent with changes in Baricentre; there is a significant difference in the consistency of changes in the phase-time characteristics of variables obtained at the southern hot and northern cold latitudes of the planet by about 2.1 times; in the northern part of the planet, changes in variables are more chaotic, due to the different influence of changes in the Baricentre variable, the magnetic fields of the Sun and the Earth on the variability of variables at different latitudes of the planet; significant variability and resonances of the phase characteristics of heliocosmic and climatic variables are observed by changes in Baricentre on the graphs of coordinated changes in groups of variables in the observed and predicted time intervals. The studies reveal multiple oscillatory responses of the Earth’s climate system to the impact of the Baricentre variable due to the heterogeneity of its components and the Earth’s magnetosphere in space. Changes in the set of phase-time characteristics of variables on the same graph in the observed and predicted time intervals in the interval ± π are displayed as changes in autowaves characteristic of self-organizing systems, characterizing climatic changes in environments in combination with the influence of the variable Baricentre.

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Rifkin, Robert M., Rafat Abonour, Brian G. M. Durie, et al. "Treatment Patterns from 2009 to 2015 in Patients with Newly Diagnosed Multiple Myeloma in the United States: A Report from the Connect® MM Registry." Blood 128, no. 22 (2016): 4489. http://dx.doi.org/10.1182/blood.v128.22.4489.4489.

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Abstract Introduction: Between 2009 and 2015, use of novel therapies (immunomodulating drugs and proteasome inhibitors) in multiple myeloma (MM) increased. Regimens initiated during this time frame may help project near-term future treatment patterns. Connect® MM is the first and largest prospective, observational, US-based, multicenter disease registry designed to characterize treatment patterns and outcomes for patients (pts) with newly diagnosed MM (NDMM). Pts with NDMM were enrolled in 2 sequential cohorts from Sep 2009 to Apr 2016. This noninterventional registry did not prescribe or limit therapy choices. Study sites represented all census regions, with 89% and 11% split between community and academic sites, respectively. This allowed a reasonable generalizability to patterns for the US. Methods: Connect® MM enrollment was initiated in Sep 2009 at 250 community and academic sites. Pts were enrolled within 2 months of diagnosis. Cohort 1 enrolled 1493 NDMM pts from Sep 2009 to Dec 2011, and Cohort 2 enrolled 1518 NDMM pts from Dec 2012 to Apr 2016. Data were collected at a baseline visit and quarterly visits thereafter until death or discontinuation. The current analysis was conducted for the population of treated pts (N=2848) as of May 2016. This study examined recorded treatment choice of first-line regimen, maintenance therapy, and second-line regimen in 6-month intervals. Trends in regimens were graphically represented using "Tepee" plots (Srinivasan, Shankar. Resource Tepee. Patent US 7,495,673 B1. 24 Feb 2009). Briefly, all pts who initiated treatment during each 6-month interval are represented horizontally, with each horizontal line indicating 100% of all treatment used in that period. The regimens are represented by gray shading with wider bands signifying the more frequently used regimens at each time interval. Results: Median follow‐up for all pts was 39.3 months (0.03‐78.4) in Cohort 1 and 15.4 months (0.2-40.1) in Cohort 2. For the treated population, the median age was 67 years (range 24‐94), 58% were male, 83% were white, and 38% of those reporting International Staging System stage had stage III MM. By US geographical region, 329 (11.6%) pts were from the Northeast, 1036 (36.4%) from the Midwest, 1117 (39.2%) from the South, 360 (12.6%) from the West, 4 (0.1%) from Puerto Rico, and 2 missing (0.05%). Most pts (2285; 80.2%) were from community sites, and 397 (13.9%) were from academic sites with the remaining from government sites. A total of 1416 (47.4%) reported an intent to transplant (stem cell transplant [SCT]) at the initiation of therapy. A total of 666 (25.8%) have progressed and entered second line. Tepee plots of treatment patterns for start of induction for those pts with and without SCT intent are provided in Figure 1A and 1B, respectively. The year 2012 does not feature in these induction plots, as this period corresponds to a time when pts were not enrolled-Cohort 1 had been completed and Cohort 2 had not yet opened. The 4 most common induction regimens for SCT intent, from left to right, in order of decreasing frequency of use, were lenalidomide (R), bortezomib (V), dexamethasone (D) combined (RVD); VD; cyclophosphamide plus VD (CyBorD); and RD. The 5 most common induction regimens for those without SCT intent, from left to right, in order of decreasing frequency of use, were VD, RD, RVD, CyBorD, and V. Triplet therapy in first-line induction pts increased in frequency from 2009 to 2014. The 4 most frequent maintenance regimens for those with SCT intent were R monotherapy, V monotherapy, RD, and RVD. The 4 most common maintenance regimens for pts who did not intend to receive SCT were R monotherapy, RD, VD, and V monotherapy. The most prevalent regimens in the second line were VD, RD, V, and RVD. Additional graphs including treatment patterns by age group (≤ 70 vs > 70 years) and maintenance by conduct of first-line SCT will be presented. Conclusions: Our work utilizes Tepee plots to outline induction and maintenance treatment patterns over time, for both SCT and non-SCT intent pts, using the largest, prospective, noninterventional registry study in the US. Triplet therapy use increased in the time period studied, with RVD being the most frequently used triplet for pts with or without SCT intent. The most common maintenance regimens included R as monotherapy or in combination. Disclosures Rifkin: Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen/ONYX: Membership on an entity's Board of Directors or advisory committees. Abonour:Celgene: Membership on an entity's Board of Directors or advisory committees. Durie:Amgen: Consultancy; Janssen: Consultancy; Takeda: Consultancy. Gasparetto:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy; Janssen: Honoraria; Bristol-Myers Squibb: Honoraria. Jagannath:Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Merck: Consultancy. Terebelo:Celgene: Membership on an entity's Board of Directors or advisory committees. Toomey:Celgene: Consultancy. Kitali:Celgene: Employment, Equity Ownership. Zafar:Celgene: Employment. Srinivasan:Celgene: Employment; Individual Patent: Patents & Royalties: US7,495,673B1 Used for MM-Connect Treatment Patterns Abstract.. Hardin:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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Nishimwe, Jean Claude. "Monitoring and Evaluation Practices and Performance of Environmental Project in Nyabitekeri Sector, Rwanda. A Case of Environment and Climate Change Fund Project." Journal of Entrepreneurship & Project Management 6, no. 5 (2022): 92–102. http://dx.doi.org/10.53819/81018102t4086.

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Assessment of projects monitoring and evaluation practice processes an effect on performance is critical in identifying opportunities for improved Monitoring and Evaluation (M & E) project plan. The effects of degradation arise from poor land use practices such as deforestation which lead to soil erosion. Other existing challenges include minimal capacity in terms of facility, information, manpower and funding for effective rivers and watershed management. The general objective of the study is to assess role of monitoring and evaluation practices on performance of environmental project in Rwanda. The specific objectives were to identify the contribution project budget on performance of environmental project in Nyamasheke, to determine the extent to which project risks analysis contributes to the performance of environmental project in Nyabitekeri Sector, to assess the role of capacity building on performance of environmental project in Nyabitekeri Sector and to establish relationship between monitoring and evaluation practice and performance of environmental project. The study used three theories such as social action theory, Social Control Theory and Habituated Action Theory. For the study researcher used descriptive research design with mixed methods such as quantitative and qualitative approaches. The target population was the district environmental protection officers, monitoring and project risks analysts at sector level, and environmental project beneficiaries and in total they were 27 213 from whom a sample of 394 was selected. Simple random sampling technique was used and data was collected using the questionnaire, interview and documentation. The analysis of data was done using SPSS version 21 and bivariate analysis was used to assess the association between the independent and dependent categorical variables using -values. The strengths of the associations were determined using simple and multiple logistic regression models, mean and standard deviation. Inference was made using a 95% confidence interval and a -value < 0.05. The results were presented in frequency, cross tabulation tables, pie charts and graphs. The study findings showed that monitoring and evaluation measured in terms of (project budget, project risks analysis and capacity building) played important role on performance of environmental project with -value= 0.000, -value =0.000 and -value =0.042 respectively. Keywords: Monitoring, Evaluation, performance, environment. Environmental project

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Kulik, Anatoliy, Sergey Pasichnik, and Dmytro Sokol. "MODELING OF PHYSICAL PROCESSES OF ENERGY CONVERSION IN SMALL-SIZED VORTEX ENERGY SEPARATORS." Aerospace technic and technology, no. 1 (February 26, 2021): 20–30. http://dx.doi.org/10.32620/aktt.2021.1.03.

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The object of study in the article is the vortex effect of temperature separation in a rotating gas flow, which is realized in small-sized vortex energy separators. The subject matter is the models that describe the physical processes of energy conversion in small-sized vortex energy separators as objects of automatic control. The goal is to obtain models of a vortex energy separator reflecting its static and dynamic properties as an automatic control object. The tasks to be solved are: to develop a three-dimensional computer model of a small-sized vortex energy separator which will allow analyzing the parameters of the gas flow and physical processes of energy conversion directly inside the object and obtaining its static characteristics. A linearization method of static characteristics on the interval of input and output values is proposed which will expand the operating range without loss of linearization accuracy. A method of structural-parametric identification based on experimental logarithmic magnitude-frequency characteristics is proposed which will allow for the same set of experimental points to select the structure of the mathematical model of varying complexity depending on the specified accuracy. As a result of the work, the scheme for modeling the automatic control object was formed, consisting of the drive unit, sensor unit, and vortex energy separator, with the reflection of all the obtained operating modes. The methods used are the method of graphic linearization, Laplace transform, structural-parametric identification. The following results were obtained: a computer and linearized mathematical model of the small-sized vortex energy separator as an automatic control object reflecting its properties in the time and frequency domains was obtained. A comparative analysis of the reactions of the model and the real object to the same input action was carried out. Conclusions. The scientific novelty of the results obtained is as follows: 1) multiple graphic linearizations of one static characteristic to use the full range of the operation mode of vortex energy separator, which distinguishes it from the known;2) mathematical model structural-parametric identification for vortex energy separator with the help of known points of the Bode magnitude plots by using the interpolation polynomial and its derivatives graphs.

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Eduafo, Augusta, Leland Metheny, James Driscoll, et al. "Patient Selection Bias Limits the Real World Efficacy of Randomized Clinical Trials in Multiple Myeloma." Blood 136, Supplement 1 (2020): 1–2. http://dx.doi.org/10.1182/blood-2020-139856.

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Randomized clinical trials (RCT) are imperative for testing novel cancer therapies and advancing the science of cancer care. Exclusion criteria are employed to minimize toxicity and maximize benefit. However, the selection process introduces a deviation between enrolled patients (pts) and the real world population. Estimating how much the selected population deviates from the MM cohort at large may increase inclusiveness and could help define barriers to recruiting to MM studies. There has been significant advancement in treating Multiple Myeloma (MM) during the last decade. Over 16 FDA-approved anti-myeloma regimens are now available. We selected the recent 6 RCTs (ASPIRE, TOURMALNE-MM01, ELOQUENT-2, ENDEAVOR, POLLUX and CASTOR studies) which were pharma-sponsored landmark trials that provided the basis for FDA approval of a new agent or established a new indication for formerly FDA-approved drug. We intended to quantify the gap between the trial population and real world by examining the eligibility criteria of these trials compared against a single institution database. Methods: Pts with relapsed MM initiating second or later line of therapy containing lenalidomide (Len) or bortezomib (Bor) were identified retrospectively. The 3-week period before the index treatment date was used to apply the eligibility criteria of the mentioned 6 trials. Pts who received Len-containing regimens were tested as to be enrolled on trials with Len/Dex control arm (ASPIRE, TOURMALINE-MM1, POLLUX, and ELOQUENT-2) and pts who had Bor-containing regimens were reviewed to be enrolled on Bor/Dex trials (CASTOR and ENDEAVOR). Pts were classified as "Trial eligible" or "Trial ineligible", accordingly. Pts were followed up longitudinally from the index treatment date until death, loss to follow-up, or the end of the study period (Jan, 2018). Ten frequently used eligibility criteria were studied (Fig-1). History of other malignancies, except skin and prostate cancer, was defined as any cancer requiring therapy other than anti-myeloma regimen in the 3 years prior to the index treatment date. Current infection referred to the use of any medication other than acyclovir, ciprofloxacin or Bactrim. Shoelace algorithm was used to calculate area under the curve of the polygon graphs. Results: 516 pts were studied between 2010 and 2018; 153 pts were excluded due to missing values, while 224 and 136 pts were treated with Len-containing and Bor-containing regimens, respectively. Overall, the trial-eligible cohort was more likely to have autologous stem cell transplant and to have had longer treatment-free period before index treatment date (p-value: 0.012). There was a substantial variation in the ineligibility rate for these 6 RCTs among the study population (Fig-1). The most common items that excluded a patient from a RCT were: Other malignancies, current infection and renal dysfunction. Within the Len cohort the trial-specific Glomerular Filtration Rate (GFR) threshold for renal function was highest in ASPIRE trial (Cr clearance&gt; 50 ml/min) causing high rate of exclusion (29% vs. 8% in other trials). Only TOURMOULINE-MM01 and ASPIRE trials had bor-refractory status as the exclusion criteria leading to 36% ineligibility rate. The differences between the trial-eligible and trial-ineligible pts stratified by trial are listed in Table-1 and 2 for trials with Len and Bor as the control arms, respectively. The median follow-up for the Len and Bor cohort was 31 and 30 months, respectively. The trial-ineligible pts had significantly worse OS (2-year survival rate 69% vs. 82%, P-value: 0.001) and 43% higher chance of death (hazard ratio 1.43, 90% confidence interval (CI): 1.08-2.02) compared with trail-eligible cohort. Conclusion: Here we assessed the eligibility criteria of 6 landmark MM studies and showed that ineligibility rates were quite different amongst these trials suggesting significant limitations in cross-trial comparison. Furthermore, trial-eligibility per se was associated with improved survival. We therefore proposed a quantitative deviation score calibrating the generalizability of the results of these trials to a single institution cohort. Such a tool can lead to efforts to broaden eligibility criteria and possibly narrow the gap between reported clinical trial efficacy and the observed effectiveness in real-world MM pts. Disclosures de Lima: Kadmon: Other: Personal Fees, Advisory board; Incyte: Other: Personal Fees, advisory board; BMS: Other: Personal Fees, advisory board; Celgene: Research Funding; Pfizer: Other: Personal fees, advisory board, Research Funding. Malek:Medpacto: Research Funding; Takeda: Other: Advisory board , Speakers Bureau; Bluespark: Research Funding; Cumberland: Research Funding; Sanofi: Other: Advisory board; Janssen: Other: Advisory board, Speakers Bureau; Clegene: Other: Advisory board , Speakers Bureau; Amgen: Honoraria.

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Kuenzig, E., S. G. Fung, L. Marderfeld, et al. "A25 THE RISING GLOBAL INCIDENCE OF PEDIATRIC INFLAMMATORY BOWEL DISEASE: A SYSTEMATIC REVIEW OF POPULATION-BASED STUDIES." Journal of the Canadian Association of Gastroenterology 4, Supplement_1 (2021): 144–45. http://dx.doi.org/10.1093/jcag/gwab002.024.

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Abstract Background The incidence of inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), is increasing internationally, particularly in developing nations where rates were historically low. Previous reports of the incidence and prevalence of pediatric-onset IBD have identified a paucity of population-based studies. Aims We reviewed the global trends in incidence of pediatric IBD using evidence from population-based studies. Methods (PROSPERO CRD42019125193) We systematically reviewed studies indexed in MEDLINE, EMBASE, Airiti Library, and SciELO from 01/2010-02/2020 to identify population-based studies reporting the incidence of pediatric-onset IBD, CD, and UC. Included studies combined childhood and adolescent-onset IBD (onset &lt;21y). Changes in incidence since 2000 were plotted by continent, with data from 2000–09 provided by our previous systematic review1. To depict trends, multiple times points reported in single studies were connected on graphs. When incidence was reported as an aggregated estimate over a range of years, data was plotted using the midpoint of the interval. Results Of 8096 abstracts screened, 74 studies described the incidence of IBD, CD, or UC in 33 countries (Figure panel A). The incidence of pediatric-onset IBD is highest in Northern Europe and North America, and lowest in Southern Europe, Asia, and the Middle East. This geographical distribution is similar in UC, while incidence of pediatric-onset CD is highest in North America and Northern Europe, followed by Australia. Trends in incidence over time, stratified by continent, are reported in Figure, panel B. Significantly increasing incidence of IBD, CD, and/or UC was reported in China, Bahrain, Canada, New Zealand, Australia, Singapore, Saudi Arabia, and most European countries. Very Early Onset (VEO) IBD significantly increased in Canada, however Saudi Arabia reported decreasing incidence of VEO-CD but stable incidence of VEO-UC. Conclusions Conclusion: Incidence of pediatric-onset IBD are highest in Northern Europe and North American and are increasing globally. There remains a paucity of studies from many parts of the world on the incidence pediatric IBD. Further research is needed to understand the pathogenesis of the rising incidence of pediatric IBD, including work to understand the genetic, environmental, immunological and microbiome alterations leading to the increasing rates in children. References: 1Benchimol, Fortinsky et al. Inflamm Bowel Dis 2011;17:423–39. Funding Agencies None

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Caelers, Inge, Toon Boselie, Wouter van Hemert, Kim Rijkers, Rob De Bie, and Henk van Santbrink. "The Variability of Lumbar Sequential Motion Patterns: Observational Study." JMIR Biomedical Engineering 8 (June 20, 2023): e41906. http://dx.doi.org/10.2196/41906.

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Background Physiological motion of the lumbar spine is a topic of interest for musculoskeletal health care professionals since abnormal motion is believed to be related to lumbar complaints. Many researchers have described ranges of motion for the lumbar spine, but only few have mentioned specific motion patterns of each individual segment during flexion and extension, mostly comprising the sequence of segmental initiation in sagittal rotation. However, an adequate definition of physiological motion is still lacking. For the lower cervical spine, a consistent pattern of segmental contributions in a flexion-extension movement in young healthy individuals was described, resulting in a definition of physiological motion of the cervical spine. Objective This study aimed to define the lumbar spines’ physiological motion pattern by determining the sequence of segmental contribution in sagittal rotation of each vertebra during maximum flexion and extension in healthy male participants. Methods Cinematographic recordings were performed twice in 11 healthy male participants, aged 18-25 years, without a history of spine problems, with a 2-week interval (time point T1 and T2). Image recognition software was used to identify specific patterns in the sequence of segmental contributions per individual by plotting segmental rotation of each individual segment against the cumulative rotation of segments L1 to S1. Intraindividual variability was determined by testing T1 against T2. Intraclass correlation coefficients were tested by reevaluation of 30 intervertebral sequences by a second researcher. Results No consistent pattern was found when studying the graphs of the cinematographic recordings during flexion. A much more consistent pattern was found during extension, especially in the last phase. It consisted of a peak in rotation in L3L4, followed by a peak in L2L3, and finally, in L1L2. This pattern was present in 71% (15/21) of all recordings; 64% (7/11) of the participants had a consistent pattern at both time points. Sequence of segmental contribution was less consistent in the lumbar spine than the cervical spine, possibly caused by differences in facet orientation, intervertebral discs, overprojection of the pelvis, and muscle recruitment. Conclusions In 64% (7/11) of the recordings, a consistent motion pattern was found in the upper lumbar spine during the last phase of extension in asymptomatic young male participants. Physiological motion of the lumbar spine is a broad concept, influenced by multiple factors, which cannot be captured in a firm definition yet. Trial Registration ClinicalTrials.gov NCT03737227; https://clinicaltrials.gov/ct2/show/NCT03737227 International Registered Report Identifier (IRRID) RR2-10.2196/14741

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Kashyap, Suresh Pradhyun, Derek M. Heeren, Mitch S. Maguire, et al. "Diurnal Soybean Water Stress Computed Using Statistical-Based Thermal Indices With High-Frequency Unmanned Aircraft Flights." Journal of Natural Resources and Agricultural Ecosystems 1, no. 1 (2023): 33–48. http://dx.doi.org/10.13031/jnrae.15465.

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Highlights High-frequency UAS thermal data can identify the temporal nature of the spatial canopy stress patterns for soybean. Thermal indices were calculated using the statistical approach from the lower and upper bounds of confidence interval. The CWSI Histogram Approach (UAS) was compared to the CWSI Empirical Approach (IRT). The distribution of canopy temperature (using the inter-quartile range) may be useful for irrigation management. Abstract. The use of unmanned aerial systems (UAS) in the field of irrigation management has been increasing rapidly. Due to their ability to capture multi-temporal data over the field, new techniques for the calculation of the crop water stress index (CWSI) and degrees above non-stressed (DANS) using UAS have been evolving. In this study, a statistical CWSI approach (canopy temperature histogram method) was used to identify the diurnal crop water stress patterns in soybean crop at three different study sites in Nebraska. Two study sites were located in the Eastern Nebraska Research and Extension Center (ENREC) at Mead, Nebraska, having multiple irrigation treatments; the third site was located in the South Central Agricultural Laboratory (SCAL), Clay Center, Nebraska, having one uniform irrigation treatment. Based on the results obtained, the CWSI and DANS maps exhibited a clear diurnal pattern of crop water stress response from morning to afternoon, and recovery from late afternoon to evening, with variations between the treatments at ENREC and a similar trend on SCAL. ENREC had a stronger correlation between CWSI and DANS due to the wider range in canopy temperatures from having both irrigated and rainfed plots. When compared between deficit plots at ENREC and the irrigated treatment at SCAL, the study showed that the statistical approach was more reliable when there were differences in crop water stress among different treatments. The main advantage of using the statistical CWSI histogram approach compared to the conventional empirical CWSI approach is the reduced requirement of additional meteorological parameters and faster automation time. CWSI histogram distribution graphs were created for each flight to understand the temporal changes and reveal the mean CWSI values (approximately 0.49, 0.51, and 0.49, for ENREC1, ENREC2, and SCAL, respectively) and interquartile (IQR) range for the soybean crop. For a given field site, temporal changes in IQR were greater than temporal changes in mean CWSI. Besides the mean canopy temperature, the distribution of canopy temperature (using the IQR) may be useful for irrigation management. Keywords: Irrigation Management, Precision Agriculture, Python, Remote Sensing, Thermal Imagery, Unmanned Aircraft Systems.

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Tao, Wang, and Liu Yang. "Multiview Community Discovery Algorithm via Nonnegative Factorization Matrix in Heterogeneous Networks." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/8596893.

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With the rapid development of the Internet and communication technologies, a large number of multimode or multidimensional networks widely emerge in real-world applications. Traditional community detection methods usually focus on homogeneous networks and simply treat different modes of nodes and connections in the same way, thus ignoring the inherent complexity and diversity of heterogeneous networks. It is challenging to effectively integrate the multiple modes of network information to discover the hidden community structure underlying heterogeneous interactions. In our work, a joint nonnegative matrix factorization (Joint-NMF) algorithm is proposed to discover the complex structure in heterogeneous networks. Our method transforms the heterogeneous dataset into a series of bipartite graphs correlated. Taking inspiration from the multiview method, we extend the semisupervised learning from single graph to several bipartite graphs with multiple views. In this way, it provides mutual information between different bipartite graphs to realize the collaborative learning of different classifiers, thus comprehensively considers the internal structure of all bipartite graphs, and makes all the classifiers tend to reach a consensus on the clustering results of the target-mode nodes. The experimental results show that Joint-NMF algorithm is efficient and well-behaved in real-world heterogeneous networks and can better explore the community structure of multimode nodes in heterogeneous networks.

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Fernández-Castilla, Belén, Lies Declercq, Laleh Jamshidi, Susan Natasha Beretvas, Patrick Onghena, and Wim Van den Noortgate. "Visual representations of meta-analyses of multiple outcomes: Extensions to forest plots, funnel plots, and caterpillar plots." Methodology 16, no. 4 (2020): 299–315. http://dx.doi.org/10.5964/meth.4013.

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Meta-analytic datasets can be large, especially when in primary studies multiple effect sizes are reported. The visualization of meta-analytic data is therefore useful to summarize data and understand information reported in primary studies. The gold standard figures in meta-analysis are forest and funnel plots. However, none of these plots can yet account for the existence of multiple effect sizes within primary studies. This manuscript describes extensions to the funnel plot, forest plot and caterpillar plot to adapt them to three-level meta-analyses. For forest plots, we propose to plot the study-specific effects and their precision, and to add additional confidence intervals that reflect the sampling variance of individual effect sizes. For caterpillar plots and funnel plots, we recommend to plot individual effect sizes and averaged study-effect sizes in two separate graphs. For the funnel plot, plotting separate graphs might improve the detection of both publication bias and/or selective outcome reporting bias.

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Piper, Joe D., Clever Mazhanga, Marian Mwapaura, et al. "Growth, physical, and cognitive function in children who are born HIV-free: School-age follow-up of a cluster-randomised trial in rural Zimbabwe." PLOS Medicine 21, no. 10 (2024): e1004347. http://dx.doi.org/10.1371/journal.pmed.1004347.

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Background Globally, over 16 million children were exposed to HIV during pregnancy but remain HIV-free at birth and throughout childhood by 2022. Children born HIV-free (CBHF) have higher morbidity and mortality and poorer neurodevelopment in early life compared to children who are HIV-unexposed (CHU), but long-term outcomes remain uncertain. We characterised school-age growth, cognitive and physical function in CBHF and CHU previously enrolled in the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe. Methods and findings The SHINE trial enrolled pregnant women between 2012 and 2015 across 2 rural Zimbabwean districts. Co-primary outcomes were height-for-age Z-score and haemoglobin at age 18 months (clinicaltrials.gov NCT01824940). Children were re-enrolled if they were aged 7 years, resident in Shurugwi district, and had known pregnancy HIV-exposure status. From 5,280 pregnant women originally enrolled, 376 CBHF and 2016 CHU reached the trial endpoint at 18 months in Shurugwi; of these, 264 CBHF and 990 CHU were evaluated at age 7 years using the School-Age Health, Activity, Resilience, Anthropometry and Neurocognitive (SAHARAN) toolbox. Cognitive function was evaluated using the Kaufman Assessment Battery for Children (KABC-II), with additional tools measuring executive function, literacy, numeracy, fine motor skills, and socioemotional function. Physical function was assessed using standing broad jump and handgrip for strength, and the shuttle-run test for cardiovascular fitness. Growth was assessed by anthropometry. Body composition was assessed by bioimpedance analysis and skinfold thicknesses. A caregiver questionnaire measured demographics, socioeconomic status, nurturing, child discipline, food, and water insecurity. We prespecified the primary comparisons and used generalised estimating equations with an exchangeable working correlation structure to account for clustering. Adjusted models used covariates from the trial (study arm, study nurse, exact child age, sex, calendar month measured, and ambient temperature). They also included covariates derived from directed acyclic graphs, with separate models adjusted for contemporary variables (socioeconomic status, household food insecurity, religion, social support, gender norms, caregiver depression, age, caregiver education, adversity score, and number of children’s books) and early-life variables (length-for-age-Z-score) at 18 months, birthweight, maternal baseline depression, household diet, maternal schooling and haemoglobin, socioeconomic status, facility birth, and gender norms. We applied a Bonferroni correction for the 27 comparisons (0.05/27) with threshold of p < 0.00185 as significant. We found strong evidence that cognitive function was lower in CBHF compared to CHU across multiple domains. The KABC-II mental processing index was 45.2 (standard deviation (SD) 10.5) in CBHF and 48.3 (11.3) in CHU (mean difference 3.3 points [95% confidence interval (95% CI) 2.0, 4.5]; p < 0.001). The school achievement test score was 39.0 (SD 26.0) in CBHF and 45.7 (27.8) in CHU (mean difference 7.3 points [95% CI 3.6, 10.9]; p < 0.001); differences remained significant in adjusted analyses. Executive function was reduced but not significantly in adjusted analyses. We found no consistent evidence of differences in growth or physical function outcomes. The main limitation of our study was the restriction to one of two previous study districts, with possible survivor and selection bias. Conclusions In this study, we found that CBHF had reductions in cognitive function compared to CHU at 7 years of age across multiple domains. Further research is needed to define the biological and psychosocial mechanisms underlying these differences to inform future interventions that help CBHF thrive across the life-course. Trial registration ClinicalTrials.gov The SHINE follow-up study was registered with the Pan-African Clinical Trials Registry (PACTR202201828512110). The original SHINE trial was registered at NCT https://clinicaltrials.gov/study/NCT01824940.

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FENG, YING, ROBERT L. GOLDSTONE, and VLADIMIR MENKOV. "A GRAPH MATCHING ALGORITHM AND ITS APPLICATION TO CONCEPTUAL SYSTEM TRANSLATION." International Journal on Artificial Intelligence Tools 14, no. 01n02 (2005): 77–99. http://dx.doi.org/10.1142/s0218213005002004.

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ABSURDIST II, an extension to ABSURDIST, is an algorithm using attributed graph matching to find translations between conceptual systems. It uses information about the internal structure of systems by itself, or in combination with external information about concept similarities across systems. It supports systems with multiple types of weighted or unweighted, directed or undirected relations between concepts. The algorithm exploits graph sparsity to improve computational efficiency. We present the results of experiments with a number of conceptual systems, including artificially constructed random graphs with introduced distortions.

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Kural, Saim. "Investigation of 3:1 and 2:1 internal resonances in fluid conveying microbeam." Tehnički glasnik 12, no. 1 (2018): 18–26. http://dx.doi.org/10.31803/tg-20180131225708.

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Microbeams are widely used in micro-electro-mechanical systems (MEMS). These systems are alternatives to piezo-resistive sensors because of their high sensitivity and low power consumption. Unlike with the classical theory of continuous media, in order to see the effects of the system being micro-sized, the effect of micro-structure was added to the system based on the modified couple stress theory (MCST) for fluid conveying microbeam. By using Hamilton’s principle, the nonlinear equations of motion for the fluid conveying micro beam were obtained. Microbeam was investigated under electrical field and resting on an elastic foundation. It is assumed that the fluid velocity changes harmonically around a constant velocity and that the electrical field force changes harmonically with time. Approximate solutions of the system were achieved by using the multiple time scale method. 3:1 and 2:1 internal resonance cases were investigated. Detuning parameter-amplitude variation graphs were obtained, and stability areas were shown.

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Subbarao, K., and M. Ahmed. "Target tracking using multiple unmanned aerial vehicles: Graph theoretic nonlinear control approach." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 3 (2016): 570–86. http://dx.doi.org/10.1177/0954410016641321.

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This paper develops a cooperative controller for multiple Unmanned Aerial Vehicles (UAVs) with application to target tracking. The cooperation between the UAVs is established based on an algebraic graph connection and the target information is provided externally by pinning it into a subset of the network. A backstepping-like technique is employed to design a consensus-based controller for each UAV in order to achieve target tracking in 3-D. The proposed controller computes commanded signals for the speed, flight path angle, and heading angle to track the target. The paper considers both the cases of fixed and dynamically changing communication topologies. It is shown that target tracking is achieved for fixed connection topology, if the graph has a directed spanning tree; and for the dynamically changing topology, if the union of the graphs over finite time intervals has a directed spanning tree. The system’s stability is shown using a Lyapunov function-based approach for these cases. All tracking errors are shown to be bounded as long as the target states and its derivatives up to second order are bounded. Detailed numerical simulations further illustrate the controller performance.

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Yan, Songcai, Xinjun Hu, and Qinyuan Xue. "Dual Task Semi-supervised Pancreatic Segmentation Based on Prior Information and Multiple Regularization." Mathematical Modeling and Algorithm Application 2, no. 1 (2024): 11–19. http://dx.doi.org/10.54097/p6445f38.

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Due to the relatively small size and complex internal structure of the pancreas, the segmentation is often inaccurate during image processing. A more effective automatic segmentation method is proposed to solve this problem. A multi-task deep neural network architecture based on V-Net architecture is proposed. By capturing the relationship between the prior positions of the pancreas, the target of the pancreas can be constrained at the regional level. In addition, this study uses dual task training methods to simultaneously perform segmentation tasks and regression tasks, and generate high-quality pseudo-label graphs to better utilize the valid information in a large number of unlabeled data. At the same time, this study also introduces the idea of consistency regularization, which uses the consistency regularization of prior information and the consistency regularization of noise disturbance and network disturbance to optimize the segmentation network between double decoders and double tasks, so as to further improve the segmentation effect and generalization ability of the model. Experiments show that compared with the benchmark method, the Dice coefficient of the method in this study is improved by 5.40% (for 10% labeled data) and 3.46% (for 20% labeled data) respectively, which proves the efficiency of the method in processing unlabeled medical images described in this chapter.

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Bhattacharya, S., C. Braun, and U. Leopold. "A TENSOR BASED FRAMEWORK FOR LARGE SCALE SPATIO-TEMPORAL RASTER DATA PROCESSING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14 (August 23, 2019): 3–9. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w14-3-2019.

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Abstract. In this paper, we address the curse of dimensionality and scalability issues while managing vast volumes of multidimensional raster data in the renewable energy modeling process in an appropriate spatial and temporal context. Tensor representation provides a convenient way to capture inter-dependencies along multiple dimensions. In this direction, we propose a sophisticated way of handling large-scale multi-layered spatio-temporal data, adopted for raster-based geographic information systems (GIS). We chose Tensorflow, an open source software library developed by Google using data flow graphs, and the tensor data structure. We provide a comprehensive performance evaluation of the proposed model against r.sun in GRASS GIS. Benchmarking shows that the tensor-based approach outperforms by up to 60%, concerning overall execution time for high-resolution datasets and fine-grained time intervals for daily sums of solar irradiation [Wh.m-2.day-1].

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Fu, Chenchen, Peng Wu, Minming Li, Chun Jason Xue, Yingchao Zhao, and Song Han. "Real-Time Data Retrieval With Multiple Availability Intervals in CPS Under Freshness Constraints." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37, no. 11 (2018): 2743–54. http://dx.doi.org/10.1109/tcad.2018.2857378.

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Karn, Avinash, Luis Diaz-Garcia, Noam Reshef, et al. "The Genetic Basis of Anthocyanin Acylation in North American Grapes (Vitis spp.)." Genes 12, no. 12 (2021): 1962. http://dx.doi.org/10.3390/genes12121962.

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Hydroxycinnamylated anthocyanins (or simply ‘acylated anthocyanins’) increase color stability in grape products, such as wine. Several genes that are relevant for anthocyanin acylation in grapes have been previously described; however, control of the degree of acylation in grapes is complicated by the lack of genetic markers quantitatively associated with this trait. To characterize the genetic basis of anthocyanin acylation in grapevine, we analyzed the acylation ratio in two closely related biparental families, Vitis rupestris B38 × ‘Horizon’ and ‘Horizon’ × Illinois 547-1, for 2 and 3 years, respectively. The acylation ratio followed a bimodal and skewed distribution in both families, with repeatability estimates larger than 0.84. Quantitative trait locus (QTL) mapping with amplicon-based markers (rhAmpSeq) identified a strong QTL from ‘Horizon’ on chromosome 3, near 15.85 Mb in both families and across years, explaining up to 85.2% of the phenotypic variance. Multiple candidate genes were identified in the 14.85–17.95 Mb interval, in particular, three copies of a gene encoding an acetyl-CoA-benzylalcohol acetyltransferase-like protein within the two most strongly associated markers. Additional population-specific QTLs were found in chromosomes 9, 10, 15, and 16; however, no candidate genes were described. The rhAmpSeq markers reported here, which were previously shown to be highly transferable among the Vitis genus, could be immediately implemented in current grapevine breeding efforts to control the degree of anthocyanin acylation and improve the quality of grapes and their products.

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Kumar, Parvin, and Ashwani Kumar. "Monte Carlo Method Based QSAR Studies of Mer Kinase Inhibitors in Compliance with OECD Principles." Drug Research 68, no. 04 (2017): 189–95. http://dx.doi.org/10.1055/s-0043-119288.

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AbstractMonte Carlo method based QSAR studies for inhibitors of Mer kinase, a potential novel target for cancer treatment, has been carried out using balance of correlation technique. The data was divided into three random and dissimilar splits and hybrid optimal descriptors derived from SMILES and hydrogen filled graphs based notations were used for construction of QSAR models. The generated models have good fitting ability, robustness, generalizability and internal predictive ability. The external predictive ability has been tested using multiple criteria and described models exhibited good performance in all of these tests. The values of R2, Q2, R2 test, Q2 test, R2 m and ∆R2 m for the best model are 0.9502, 0.9388, 0.9469, 0.9083, 0.7534 and 0.0894 respectively. Also, the structural characteristics responsible for enhancement and reduction of activity have been extracted. Further, the agreement with the OECD rules for QSAR model has been discussed.

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KOSMIDIS, KOSMAS, MORITZ BEBER, and MARC-THORSTEN HÜTT. "NETWORK HETEROGENEITY AND NODE CAPACITY LEAD TO HETEROGENEOUS SCALING OF FLUCTUATIONS IN RANDOM WALKS ON GRAPHS." Advances in Complex Systems 18, no. 01n02 (2015): 1550007. http://dx.doi.org/10.1142/s0219525915500071.

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Random walks are one of the best investigated dynamical processes on graphs. A particularly fascinating phenomenon is the scaling relationship of fluctuations σ with the average flux 〈f〉. Here we analyze how network topology and nodes with finite capacity lead to deviations from a simple scaling law σ ~ 〈f〉α. Sources of randomness are the random walk itself (internal noise) and the fluctuation of the number of walkers (external noise). We obtained exact results for the extreme case of a star network which are indicative of the behavior of large scale systems with a broad degree distribution. The latter are subsequently studied using Monte Carlo simulations. We find that the network heterogeneity amplifies the effects of external noise. By computing the "effective" scaling of each node we show that multiple scaling relationships can coexist in a graph with a heterogeneous degree distribution at an intermediate level of external noise. Finally, we analyze the effect of a finite capacity of nodes for random walkers and find that this also can lead to a heterogeneous scaling of fluctuations.

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Costa, R. C. S. M., and M. F. Curi. "IMPACT OF NANOFLUIDS ON EXTERNAL AND INTERNAL FLOW VIA NAVIER-STOKES AND CONVECTIONDIFFUSION EQUATIONS FOR PARALLEL PLATES WITH SLIP BOUNDARY CONDITIONS." Revista de Engenharia Térmica 20, no. 1 (2021): 45. http://dx.doi.org/10.5380/reterm.v20i1.80446.

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With the modernization and miniaturization of equipment and systems toincrease the overall efficiency in smaller spaces, new cooling solutions needto be developed. Microfluidic in the last decades becomes a new way to getthis. Nanofluids are used to attend this demand to optimize efficiency, withtheir improved thermohydraulic properties, especially different thermalconductivities. To determine the advantages of using a nanofluid for thermalexchange, the properties, parameters and modelling will be presented, and thedifferential equations necessary to obtain the results. In that sense, the basictheory of fluid mechanics and heat transfer, through the Navier-Stokes andConvection-Diffusion equation, is used in the two-dimensional steady-stateformulation. Slip boundary conditions for the velocity field. Constant heat fluxand constant temperature at the surface are used for the temperature field,initially without the flow’s microscale effects. The external flow over a flatplate and internal flow between parallel plates will be studied. Considering alaminar flow, with the base fluid being water and engine oil, with variousvolumetric fractions of Single Wall and Multiple Wall Carbon Nanotubes. Todetermine the results and create the comparative graphs, the WolframMathematica v.11 software will be used for solving the remaining partialdifferential equations.

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Schulz, Till, Pascal Welke, and Stefan Wrobel. "Graph Filtration Kernels." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (2022): 8196–203. http://dx.doi.org/10.1609/aaai.v36i8.20793.

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The majority of popular graph kernels is based on the concept of Haussler's R-convolution kernel and defines graph similarities in terms of mutual substructures. In this work, we enrich these similarity measures by considering graph filtrations: Using meaningful orders on the set of edges, which allow to construct a sequence of nested graphs, we can consider a graph at multiple granularities. A key concept of our approach is to track graph features over the course of such graph resolutions. Rather than to simply compare frequencies of features in graphs, this allows for their comparison in terms of when and for how long they exist in the sequences. In this work, we propose a family of graph kernels that incorporate these existence intervals of features. While our approach can be applied to arbitrary graph features, we particularly highlight Weisfeiler-Lehman vertex labels, leading to efficient kernels. We show that using Weisfeiler-Lehman labels over certain filtrations strictly increases the expressive power over the ordinary Weisfeiler-Lehman procedure in terms of deciding graph isomorphism. In fact, this result directly yields more powerful graph kernels based on such features and has implications to graph neural networks due to their close relationship to the Weisfeiler-Lehman method. We empirically validate the expressive power of our graph kernels and show significant improvements over state-of-the-art graph kernels in terms of predictive performance on various real-world benchmark datasets.

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