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Journal articles on the topic 'Broken tool detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Lian, Ling Neng, Bin Li, and Hong Qi Liu. "Study of Spindle Current Signals for Tool Breakage Detection in Milling." Advanced Materials Research 853 (December 2013): 482–87. http://dx.doi.org/10.4028/www.scientific.net/amr.853.482.

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Failure of cutting tools significantly decreases machining productivity and product quality, thus, tool condition monitoring is significant in modern manufacturing processes. In this paper, a novel method based on singular value decomposition (SVD) and Linear Discriminant analysis (LDA) is proposed for detection of different broken tooth via spindle-motor current signals generated in end milling process. First, SVD algorithm is adopted to extract the useful singular values as salient features for indicating the tool state. Then classify the tool breakage event based on the selected features th

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2

Jayakumar, K., and S. Thangavel. "Vibration Analysis of Industrial Drive for Broken Bearing Detection Using Probabilistic Wavelet Neural Network." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 4 (2015): 541. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp541-551.

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A reliable monitoring of industrial drives plays a vital role to prevent from the performance degradation of machinery. Today’s fault detection system mechanism uses wavelet transform for proper detection of faults, however it required more attention on detecting higher fault rates with lower execution time. Existence of faults on industrial drives leads to higher current flow rate and the broken bearing detected system determined the number of unhealthy bearings but need to develop a faster system with constant frequency domain. Vibration data acquisition was used in our proposed work to dete

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Walterfang, Mark, Ronald Siu, and Dennis Velakoulis. "The NUCOG: Validity and Reliability of a Brief Cognitive Screening Tool in Neuropsychiatric Patients." Australian & New Zealand Journal of Psychiatry 40, no. 11-12 (2006): 995–1002. http://dx.doi.org/10.1080/j.1440-1614.2006.01923.x.

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Objectives: To examine the validity and reliability of a brief cognitive screen instrument, the Neuropsychiatry Unit Cognitive Assessment Tool (NUCOG), in patients with dementia, major psychiatric disorders and neurological disorders, and to compare its performance with the Mini-Mental State Examination (MMSE). Method: The NUCOG was undertaken with the MMSE on a total of 347 individuals, with 82 subjects in the control group and 265 in the patient group. The patient group consisted of patients with dementia (n = 65), non-dementing neurological disorders (n = 44) and psychiatric illness (n = 15

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Wibowo, Tunjung, Dwikisworo Setyowireni, and A. Samik Wahab. "Liquid crystal thermometry for early detection of hypothermia in newborns in neonatology ward, Sardjito Hospital, Yogyakarta." Paediatrica Indonesiana 48, no. 1 (2008): 5. http://dx.doi.org/10.14238/pi48.1.2008.5-9.

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Background Hypothermia in neonates increases the risk ofmortality and morbidity such as infection, coagulation disorders,acidosis and hyaline membrane disease. Mercury thermometer iscommonly used to detect hypothermia in newborns, but it has itis not ecological acceptable, difficult to be sterilized, easily broken,difficult to find in some developing countries and needs sometraining before use. A simple, effective and easily used tool fordetection of hypothermia in newborns is needed.Objective To evaluate the ability of liquid crystal thermometry(LCT) in early detection of newborn hypothermia.

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Yoo, SeokJae, and Q.-Han Park. "Metamaterials and chiral sensing: a review of fundamentals and applications." Nanophotonics 8, no. 2 (2019): 249–61. http://dx.doi.org/10.1515/nanoph-2018-0167.

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AbstractChirality, a property of broken mirror symmetry, prevails in nature. Chiral molecules show different biochemical behaviors to their mirror molecules. For left or right circularly polarized lights, the fundamental chiral states of electromagnetic fields interact differently with chiral matter, and this effect has been used as a powerful tool for the detection of chiral molecules. This optical sensing, also termed chiral sensing, is not only easy to implement but also non-invasive to the analytes. However, the measurements made by the optical sensing of chiral molecules are challenging,

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Bel, Patricia Damian, and Bugao Xu. "Measurements of seed coat fragments in cotton fibers and fabrics." Textile Research Journal 81, no. 19 (2011): 1983–94. http://dx.doi.org/10.1177/0040517511407370.

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Seed coat fragments (SCFs) are the parts of a seed coat that have been broken from the surface of either mature or immature seeds during mechanical processing. SCFs can cause spinning problems and fabric defects, which ultimately cause financial losses to the cotton industry. The objective of this study was to develop and evaluate an image-analysis tool that detects SCFs on fabrics and compares various methods of detection of SCFs in fiber and fabric. The first part of this paper looks at 12 international cottons (a broad range of cottons from distinctly different regions). The version called

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7

Aliyu, Sambo Haruna, Yusuf Zakariyya Adam, Rabiu Salisu Hassan, and Sani Hashim. "AWARENESS, ATTITUDE AND PRACTICE TOWARDS HALITOSIS- A CASE STUDY AT COLLAGE OF HEALTH SCIENCE AND TECHNOLOGY JAHUN, JIGAWA STATE NIGERIA." International Journal of Research -GRANTHAALAYAH 6, no. 4 (2018): 72–79. http://dx.doi.org/10.29121/granthaalayah.v6.i4.2018.1477.

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Globally halitosis has been associated with stigma, social insecurity, anxiety, depression and symptoms of obsessive disorder among those affected. Research has shown that there is no universal agreement about what diagnosis criteria and what detection method should be used to define which individual have halitosis and which do not have. The study was conducted to assess awareness attitude and practice toward halitosis among students of collage of health sciences and technology Jahun Jigawa state. The study design adopted was a descriptive and cross sectional type. 305 students were randomly s

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Feng, Wei Dong, Ji Hui Pan, and Wen Xu. "Tool Broken Protection System on Bogie Frame Deep-Hole Drilling." Advanced Materials Research 791-793 (September 2013): 1010–13. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1010.

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During drilling and tapping the deep holes of ratio of length to diameter of 6:1 to 10:1, the tools likely suffer random breakage, On account of such situation, a drilling overload protective system based on spindle power monitoring is raised. The analysis and processing of the abnormal signals detected by means of the principle of wavelet theory and real-time cross-correlation algorithm by detecting the loads and current of the machine spindle motor and changes of phase angles between voltage and current resulting in change of power, the shortcoming of hard determination of threshold function

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Aaron, Skye, Dustin S. McEvoy, Soumi Ray, Thu-Trang T. Hickman, and Adam Wright. "Cranky comments: detecting clinical decision support malfunctions through free-text override reasons." Journal of the American Medical Informatics Association 26, no. 1 (2018): 37–43. http://dx.doi.org/10.1093/jamia/ocy139.

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Abstract Background Rule-base clinical decision support alerts are known to malfunction, but tools for discovering malfunctions are limited. Objective Investigate whether user override comments can be used to discover malfunctions. Methods We manually classified all rules in our database with at least 10 override comments into 3 categories based on a sample of override comments: “broken,” “not broken, but could be improved,” and “not broken.” We used 3 methods (frequency of comments, cranky word list heuristic, and a Naïve Bayes classifier trained on a sample of comments) to automatically rank

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Jing, Li Ming, Hao Wang, and Li Wen Wang. "3D Model Reconstruction of the Broken Aeroengine Blade Based on the Detection Operator." Applied Mechanics and Materials 159 (March 2012): 1–5. http://dx.doi.org/10.4028/www.scientific.net/amm.159.1.

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This paper made the 3D model reconstruction of the V2500 turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, the grayscale of space-image algorithm was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

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Wang, Hao, Guo Jun Tong, Tao Wang, and Li Wen Wang. "3D Model Reconstruction of the Broken Aero Engine Blade Based on the Detection Operator." Key Engineering Materials 693 (May 2016): 1289–93. http://dx.doi.org/10.4028/www.scientific.net/kem.693.1289.

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This paper made the digital model reconstruction of the RB211 high pressure turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, finished pre-processing the point cloud data, took the rational simplification. Finally, a new algorithm was used to reconstructing the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

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Gong, Miao, Hao Wang, and Li Wen Wang. "3D Model Reconstruction of the Broken Aeroengine Blade Based on the Laplacian of Guassian Detection." Advanced Materials Research 490-495 (March 2012): 143–46. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.143.

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This paper made the 3D model reconstruction of the J34 turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, the Laplacian of Guassian Detection was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

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13

Altaf, S., M. S. Mehmood, and M. W. Soomro. "Advancement of Fault Diagnosis and Detection Process in Industrial Machine Environment." Journal of Engineering Sciences 6, no. 2 (2019): d1—d8. http://dx.doi.org/10.21272/jes.2019.6(2).d1.

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Machine fault diagnosis is a very important topic in industrial systems and deserves further consideration in view of the growing complexity and performance requirements of modern machinery. Currently, manufacturing companies and researchers are making a great attempt to implement efficient fault diagnosis tools. The signal processing is a key step for the machine condition monitoring in complex industrial rotating electrical machines. A number of signal processing techniques have been reported from last two decades conventionally and effectively applied on different rotating machines. Inducti

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Giustetto, Roberto, Stefania Padovan, Luca Barale, and Roberto Compagnoni. "The Neolithic greenstone industry of Chiomonte (northwestern Italy): mineralogy, petrography and archaeometric implications." European Journal of Mineralogy 32, no. 1 (2020): 147–66. http://dx.doi.org/10.5194/ejm-32-147-2020.

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Abstract. The polished stone industry of Chiomonte (Piedmont region, northwestern Italy), dating back to the middle to late Neolithic, has been studied with a multi-analytical approach, including mineralogical, petrographic and morpho-typological issues, with the aim of providing information about the sources of the raw materials and determining the function of this particular settlement in the prehistoric Western Alps. Most of the lithic tools are made of sensu stricto greenstones (i.e. “Na pyroxene rocks” and “Na pyroxene and garnet rocks”), though a large number of serpentinite tools (25 %)

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Nóbrega Sobrinho, Carlos Alberto, Abel Cavalcante Lima Filho, Alexander Patrick Chaves Sena, Jorge Nei Brito, Jobson Francisco Silva, and Ícaro Meireles Mafaldo. "Transformada Wavelet para detecção de barras quebradas em Motores de Indução Trifásicos." Revista Principia - Divulgação Científica e Tecnológica do IFPB 1, no. 42 (2018): 72. http://dx.doi.org/10.18265/1517-03062015v1n42p72-83.

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Electric machines account for 95% of the primary source of movement of industrialized nations. Out of these, 90% are three-phase induction motors (TIM), which are present in almost all industrial sectors. Due to its relevance in the productive sector it is important t that they are properly monitored in order to avoid interruptions of production and operational disasters. The aim of this work is to study and develop a system to diagnose the failure of broken bars in a three - phase induction motor, and to analyze the mechanical (vibration) and electric variables (current, air gap torque and en

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Hawinkel, Stijn, Federico Mattiello, Luc Bijnens, and Olivier Thas. "A broken promise: microbiome differential abundance methods do not control the false discovery rate." Briefings in Bioinformatics 20, no. 1 (2017): 210–21. http://dx.doi.org/10.1093/bib/bbx104.

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Abstract High-throughput sequencing technologies allow easy characterization of the human microbiome, but the statistical methods to analyze microbiome data are still in their infancy. Differential abundance methods aim at detecting associations between the abundances of bacterial species and subject grouping factors. The results of such methods are important to identify the microbiome as a prognostic or diagnostic biomarker or to demonstrate efficacy of prodrug or antibiotic drugs. Because of a lack of benchmarking studies in the microbiome field, no consensus exists on the performance of the

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17

Koenig, Scott C., Guillaume M. Y. Liebhold, and A. K. Gramopadhye. "Training for Systematic Search Using a Job Aid." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 20 (1998): 1457–61. http://dx.doi.org/10.1177/154193129804202021.

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A dominant component of quality control, visual inspection can be broken down into two elements: visual search and decision-making. This study focuses on the search process. The search process has been mathematically described as random, systematic, or somewhere in between. Mathematical models and empirical studies have shown that the best performance in detecting defects during visual inspection results from the use of a systematic search strategy. For this study, a job aid that could potentially be used as an off-line training tool was developed to promote systematic visual search strategy.

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Faigenbaum-Golovin, Shira, Arie Shaus, Barak Sober, et al. "Computerized Paleographic Investigation of Hebrew Iron Age Ostraca." Radiocarbon 57, no. 2 (2015): 317–25. http://dx.doi.org/10.2458/azu_rc.57.18565.

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This article surveys ongoing research of the Legibility Enhancement of Ostraca (LEO) team of Tel Aviv University in the field of computerized paleography of Hebrew Iron Age ink-written ostraca. We perform paleographic tasks using tools from the fields of image processing and machine learning. Several new techniques serving this aim, as well as an adaptation of existing ones, are described herein. This includes testing a range of signal-acquisition methodologies, out of which multispectral imaging and Raman spectroscopy have matured into imaging systems. In addition, we deal with semior fully a

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Ouanas, Ali, Ammar Medoued, Salim Haddad, Mourad Mordjaoui, and D. Sayad. "Automatic and Online Detection of Rotor Fault State." International Journal of Renewable Energy Development 7, no. 1 (2018): 43. http://dx.doi.org/10.14710/ijred.7.1.43-52.

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In this work, we propose a new and simple method to insure an online and automatic detection of faults that affect induction motor rotors. Induction motors now occupy an important place in the industrial environment and cover an extremely wide range of applications. They require a system installation that monitors the motor state to suit the operating conditions for a given application. The proposed method is based on the consideration of the spectrum of the single-phase stator current envelope as input of the detection algorithm. The characteristics related to the broken bar fault in the freq

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El-Rami, Fadi, Kristina Nelson, and Ping Xu. "Proteomic Approach for Extracting Cytoplasmic Proteins from Streptococcus sanguinis using Mass Spectrometry." Journal of Molecular Biology Research 7, no. 1 (2017): 50. http://dx.doi.org/10.5539/jmbr.v7n1p50.

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Streptococcus sanguinis is a commensal and early colonizer of oral cavity as well as an opportunistic pathogen of infectious endocarditis. Extracting the soluble proteome of this bacterium provides deep insights about the physiological dynamic changes under different growth and stress conditions, thus defining “proteomic signatures” as targets for therapeutic intervention. In this protocol, we describe an experimentally verified approach to extract maximal cytoplasmic proteins from Streptococcus sanguinis SK36 strain. A combination of procedures was adopted that broke the thick cell wall barri

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VANGAY, PAJAU, ERIC B. FUGETT, QI SUN, and MARTIN WIEDMANN. "Food Microbe Tracker: A Web-Based Tool for Storage and Comparison of Food-Associated Microbes." Journal of Food Protection 76, no. 2 (2013): 283–94. http://dx.doi.org/10.4315/0362-028x.jfp-12-276.

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Large amounts of molecular subtyping information are generated by the private sector, academia, and government agencies. However, use of subtype data is limited by a lack of effective data storage and sharing mechanisms that allow comparison of subtype data from multiple sources. Currently available subtype databases are generally limited in scope to a few data types (e.g., MLST.net) or are not publicly available (e.g., PulseNet). We describe the development and initial implementation of Food Microbe Tracker, a public Web-based database that allows archiving and exchange of a variety of molecu

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Werkmeister, A., M. Lockhoff, M. Schrempf, K. Tohsing, B. Liley, and G. Seckmeyer. "Comparing satellite- to ground-based automated and manual cloud coverage observations – a case study." Atmospheric Measurement Techniques 8, no. 5 (2015): 2001–15. http://dx.doi.org/10.5194/amt-8-2001-2015.

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Abstract. In this case study we compare cloud fractional cover measured by radiometers on polar satellites (AVHRR) and on one geostationary satellite (SEVIRI) to ground-based manual (SYNOP) and automated observations by a cloud camera (Hemispherical Sky Imager, HSI). These observations took place in Hannover, Germany, and in Lauder, New Zealand, over time frames of 3 and 2 months, respectively. Daily mean comparisons between satellite derivations and the ground-based HSI found the deviation to be 6 ± 14% for AVHRR and 8 ± 16% for SEVIRI, which can be considered satisfactory. AVHRR's instantane

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Ray, L. Bryan. "How Flies Find Fungal Foes." Science's STKE 2007, no. 369 (2007): tw21. http://dx.doi.org/10.1126/stke.3692007tw21.

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Responses of the immune systems of plants and animals show what appears to be evidence of ancient attacks and counterattacks by pathogens and their hosts in the battle for survival. Drosophila have developed receptors that recognize constituents of bacterial cell walls and mount an immune response that causes proteolytic cleavage of the cytokine Spätzle. The Spätzle fragment then activates Toll receptors and leads to production of antimicrobial peptides. Gottar et al. explored the response of Drosophila to fungal infections and found a similar defense mechanism but also unveiled a second signa

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Shnibha, R., A. Albarbar, A. Abouhnik, and G. Ibrahim. "A More Reliable Method for Monitoring the Condition of Three-Phase Induction Motors Based on Their Vibrations." ISRN Mechanical Engineering 2012 (October 18, 2012): 1–9. http://dx.doi.org/10.5402/2012/230314.

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This paper is concerned with accurate, early, and reliable fault diagnosis using an enhanced vibration measurement technique based on short-time Fourier transform. The novelty of this work lies in detecting very low-phase imbalance-related faults. The energy contained within specified frequency bands centred on the rotor frequency and power supply frequency, and their sideband zones were calculated. The technique was firstly demonstrated by simulated signals and then verified by experimental measurements taken from two different-sized test rigs. The first one comprised a 1.1 kW variable speed

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Paudel, Milan, Li Jie Lim, Fook Fah Yap, and Kevin Kho. "Vibration Analysis of the Third Rail Structure of a Mass Rapid Transit System with Structural Defects." Applied Sciences 11, no. 18 (2021): 8410. http://dx.doi.org/10.3390/app11188410.

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The third rail is a critical piece of railway infrastructure that provides a continuous supply of electricity to power mass rapid transit trains. The vibration of the third rail may excite different resonant modes and affect its structural integrity and reliability by degrading the mechanical properties leading to the damaged or missing structural components. This paper examines vibrational characteristics of the third rail of Singapore Mass Rapid Transit system with damaged and missing structural components. Using the mathematical model, the first five, pin-to-pin modes of vibration and natur

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Jayakumar, K., and S. Thangavel. "Industrial drive fault diagnosis through vibration analysis using wavelet transform." Journal of Vibration and Control 23, no. 12 (2015): 2003–13. http://dx.doi.org/10.1177/1077546315606602.

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The fault diagnosis of electrical machines is significant to reduce the costs of maintenance through early detection of faults, which could be expensive to service. The idea of the research is that the advanced signal processing techniques called wavelet transform is exercised to haul out the faults from the vibration and current signal and a spectral component is being received to diagnose the condition of the machine. The existing system used wavelet transforms for the analysis of the stator faults and rotor faults are taken as a case study to prove the wavelet techniques for fault diagnosis

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Tang, Jiali, and Khondkar E. Karim. "Financial fraud detection and big data analytics – implications on auditors’ use of fraud brainstorming session." Managerial Auditing Journal 34, no. 3 (2019): 324–37. http://dx.doi.org/10.1108/maj-01-2018-1767.

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PurposeThis paper aims to discuss the application of Big Data analytics to the brainstorming session in the current auditing standards.Design/methodology/approachThe authors review the literature related to fraud, brainstorming sessions and Big Data, and propose a model that auditors can follow during the brainstorming sessions by applying Big Data analytics at different steps.FindingsThe existing audit practice aimed at identifying the fraud risk factors needs enhancement, due to the inefficient use of unstructured data. The brainstorming session provides a useful setting for such concern as

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Franzo, Giovanni, Wessel Swart, Miren Arbe Ugalde, et al. "Impact of Rotten Eggs on Hatchery Performances: A Multicentric Study." Animals 10, no. 10 (2020): 1725. http://dx.doi.org/10.3390/ani10101725.

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Day-old chick quality is an essential element for the overall profitability of the broiler productive cycle and has been associated with the growth performance and feed conversion rate. An effect on the development of the immune system was also reported, which could likely account for reduced susceptibility to infectious diseases and improved animal welfare parameters. Besides direct cost reduction, lower antimicrobial use and improved animal welfare are crucial in the directive of European Union legislation and are at the forefront of customer choices. Several factors contribute to determinin

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Zavatski, Sergey, Nadia Khinevich, Kseniya Girel, et al. "Surface Enhanced Raman Spectroscopy of Lactoferrin Adsorbed on Silvered Porous Silicon Covered with Graphene." Biosensors 9, no. 1 (2019): 34. http://dx.doi.org/10.3390/bios9010034.

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We registered surface enhanced Raman scattering (SERS) spectra of the human lactoferrin molecules adsorbed on a silvered porous silicon (por-Si) from 10−6–10−18 M solutions. It was found that the por-Si template causes a negative surface potential of silver particles and their chemical resistivity to oxidation. These properties provided to attract positively charged lactoferrin molecules and prevent their interaction with metallic particles upon 473 nm laser excitation. The SERS spectra of lactoferrin adsorbed from 10−6 M solution were rather weak but a decrease of the concentration to 10−10 M

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Fang, H., D. Juul Jensen, and Y. Zhang. "Improved grain mapping by laboratory X-ray diffraction contrast tomography." IUCrJ 8, no. 4 (2021): 559–73. http://dx.doi.org/10.1107/s2052252521003730.

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Laboratory diffraction contrast tomography (LabDCT) is a novel technique for non-destructive imaging of the grain structure within polycrystalline samples. To further broaden the use of this technique to a wider range of materials, both the spatial resolution and detection limit achieved in the commonly used Laue focusing geometry have to be improved. In this work, the possibility of improving both grain indexing and shape reconstruction was investigated by increasing the sample-to-detector distance to facilitate geometrical magnification of diffraction spots in the LabDCT projections. LabDCT

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She, Rui, Shanyun Liu, and Pingyi Fan. "Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure." Entropy 21, no. 5 (2019): 439. http://dx.doi.org/10.3390/e21050439.

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Different probabilities of events attract different attention in many scenarios such as anomaly detection and security systems. To characterize the events’ importance from a probabilistic perspective, the message importance measure (MIM) is proposed as a kind of semantics analysis tool. Similar to Shannon entropy, the MIM has its special function in information representation, in which the parameter of MIM plays a vital role. Actually, the parameter dominates the properties of MIM, based on which the MIM has three work regions where this measure can be used flexibly for different goals. When t

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Takadama, Keiki. "Selected Papers from i-SAIRAS 2010." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 8 (2011): 1139. http://dx.doi.org/10.20965/jaciii.2011.p1139.

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This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 - September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart senso

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Zhou, Youcheng, Bin Zhong, Tao Fang, Jiming Liu, Xiaonong Zhou, and Shiwu Zhang. "Application of bio-inspired control of AmphiHex-I in detection of Oncomelania hupensis, the amphibious snail intermediate host of Schistosoma japonicum." Industrial Robot: An International Journal 44, no. 2 (2017): 242–50. http://dx.doi.org/10.1108/ir-05-2016-0151.

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Purpose This paper aims to construct a central pattern generator (CPG) network that comprises coupled nonlinear oscillators to implement diversified locomotion gaits of robot AmphiHex-I. With the gaits, AmphiHex-I will have a strong locomotion ability in an amphibious environment, which is motivated by a novel public health application to detect the amphibious snail, Oncomelania hupensis, the snail intermediate host of Schistosoma japonicum, as an amphibious robot-based tool for schistosomiasis surveillance and response in the future. Design/methodology/approach First, the basis neural network

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Xulu, Sifiso, Nkanyiso Mbatha, and Kabir Peerbhay. "Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform." ISPRS International Journal of Geo-Information 10, no. 8 (2021): 511. http://dx.doi.org/10.3390/ijgi10080511.

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Planted forests in South Africa have been affected by an increasing number of economically damaging fires over the past four decades. They constitute a major threat to the forestry industry and account for over 80% of the country’s commercial timber losses. Forest fires are more frequent and severe during the drier drought conditions that are typical in South Africa. For proper forest management, accurate detection and mapping of burned areas are required, yet the exercise is difficult to perform in the field because of time and expense. Now that ready-to-use satellite data are freely accessib

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Noori, Nadia Saad, and Christina Weber. "Dynamics of coordination-clusters in long-term rehabilitation." Journal of Humanitarian Logistics and Supply Chain Management 6, no. 3 (2016): 296–328. http://dx.doi.org/10.1108/jhlscm-06-2016-0024.

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Purpose The purpose of this paper is to introduce a novel approach to studying disaster management operations: the emergence of coordination-clusters in long-term rehabilitation projects and innovation dynamics in coordination-clusters. Design/methodology/approach The problem addressed is examining the coordination dynamics in long-term rehabilitation operations. A mixed methods research approach was adopted where a combination of qualitative and quantitative techniques was used for data collection and analysis to study the phenomenon of the coordination evolution in long-term rehabilitation p

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Liu, Anli, Qi Feng, Shuwen Wang, et al. "Detection of a New NFKB1 Frameshift Mutation Associated with Primary Immunodeficiency Diseases." Blood 132, Supplement 1 (2018): 2416. http://dx.doi.org/10.1182/blood-2018-99-115723.

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Abstract Introduction: Primary immunodeficiency diseases (PID) are caused by gene defects that impair function of the innate or adaptive immune systems. An increasing number of patients have been identified with a causative monogenic defect. More than 300 different genetic defects have been found [J Clin Immunol (2018) 38:96-128]. The NFKB1 gene is strongly associated with PID. Heterozygous variants of NFKB1 cause a progressive defect in formation of immunoglobulin-producing B cells [Cell (2017) 168:37-57]. Here, we introduce a new NFKB1 mutation. Methods: A patient with a 20-year history of d

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Gil, Mercedes, and Graciela Nestares. "Decoding Non-Target-Site Herbicide Resistance in Sunflower: The Beginning of the Story." Helia 42, no. 70 (2019): 1–16. http://dx.doi.org/10.1515/helia-2019-0002.

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AbstractIn the last years, many efforts have been made to develop sunflower cultivars showing important agronomical characteristics such as herbicide resistance. These approaches have been focused mainly on resistance to herbicides with the same mode of action, that is acetohydroxyacid synthase (AHAS) inhibitors. To date, four induced and natural AHAS mutations have been found that confer resistance to these herbicides and many of these alleles are being used for the production of sunflower hybrids resistant to herbicides and to develop different non-transgenic technologies for weed control. H

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Shin, Yeol-Woo, and Jin-Ho Park. "Analysis of the Effectiveness of Fire Drone Missions at Disaster Sites: An Empirical Approach." Fire Science and Engineering 34, no. 5 (2020): 112–19. http://dx.doi.org/10.7731/kifse.cba54f4c.

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The use of drones in the public sector is expanding to various fields, and its effectiveness has been verified in some cases. Since its introduction to the Seoul Metropolitan Fire and Disaster Headquarters in 2016, drones have been used 1,240 times, including 405 times in disaster response. The purpose of this study is to analyze cases to determine the effectiveness of drones in operations such as searching, acquiring information, and monitoring, compared to traditional disaster response methods. In order to analyze the efficiency of the search missions, we divided the cases into vertical and

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Ung, Ryan, Yunus Alapan, Muhammad Noman Hasan, et al. "Point-of-Care Screening for Sickle Cell Disease By a Mobile Micro-Electrophoresis Platform." Blood 126, no. 23 (2015): 3379. http://dx.doi.org/10.1182/blood.v126.23.3379.3379.

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Abstract In developing countries, diagnostic tests for homozygous (HbSS) or compound heterozygous (HbSC or HbS-Beta thalassemia) sickle cell disease (SCD) are not readily available at the point-of-care (POC). Very few infants are screened in Africa for SCD because of the high cost and level of skill needed to run traditional tests. Current methods are too costly and take too much time to enable equitable and timely diagnosis to save lives. The World Health Organization recognizes a crucial need for early detection of SCD in newborns, since it is estimated that 70% SCD-related deaths in Africa

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Gopal, Srila, Esther J. Cooke, Jenny Y. Zhou, et al. "Systemic Vascular Basement Membrane Markers Linked to Synovial Vascular Remodeling Are Bio-Markers of Hemarthrosis in Patients with Hemophilia." Blood 132, Supplement 1 (2018): 380. http://dx.doi.org/10.1182/blood-2018-99-112725.

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Abstract Introduction: Acute painful joint episodes in hemophilia are not always associated with hemarthrosis. Point-of-Care Musculoskeletal Ultrasound with Power Doppler (POC MSKUS/PD) is a fast and sensitive imaging modality to determine the presence of hemarthrosis and direct management. Systemic collagen cleavage products reflecting extracellular matrix, bone and soft tissue turnover may serve as an alternative tool for the detection of hemarthrosis. Based on previous observations of pronounced vascular remodeling within the synovial tissue during hemarthrosis in patients and hemophilic mo

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Reyes-Quintos, Maria Rina T. "Pediatric Rigid Bronchoscopy for Foreign Body Removal." Philippine Journal of Otolaryngology-Head and Neck Surgery 24, no. 1 (2009): 39–41. http://dx.doi.org/10.32412/pjohns.v24i1.719.

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Rigid bronchoscopy is a procedure that is performed in order to directly visualize the upper and lower airway, and is carried out for either a diagnostic or therapeutic purpose. Suspected foreign body (FB) aspiration is the most common indication for performing this procedure in the pediatric age group at the Philippine Children’s Medical Center where a recent census (May 2008 to April 2009) showed that of 21 cases where rigid bronchoscopy was performed, 10 were for suspected FB aspiration. A review of 101 cases in the same institution showed that the average age of patients with FB aspiration

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Osborn, Elizabeth, Anja Wittkowski, Joanna Brooks, Paula E. Briggs, and P. M. Shaughn O’Brien. "Women’s experiences of receiving a diagnosis of premenstrual dysphoric disorder: a qualitative investigation." BMC Women's Health 20, no. 1 (2020). http://dx.doi.org/10.1186/s12905-020-01100-8.

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Abstract Background Premenstrual dysphoric disorder (PMDD) is a complex and disabling condition that affects women of reproductive age, characterised by severe physical and psychological symptoms that occur cyclically and remit following the onset of menses. As the psychological nature and consequences of PMDD often seem indistinguishable from symptoms of other mental health difficulties, this condition presents distinct diagnostic challenges for healthcare professionals. Therefore, this study aimed to explore women’s experiences of both having PMDD and of receiving this diagnosis. Methods Par

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Li, Haoran, Tianhong Pan, Yuqiang Li, Shan Chen, and Guoquan Li. "Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis." International Journal of Food Engineering 16, no. 8 (2020). http://dx.doi.org/10.1515/ijfe-2019-0386.

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AbstractTricholoma matsutakeis (TM) is the most expensive edible fungi in China. Given its price and exclusivity, some dishonest merchants will sell adulterated TM by combining it with cheaper fungi in an attempt to earn more profits. This fraudulent behavior has broken food laws and violated consumer trust. Therefore, there is an urgent need to develop a rapid, accurate, and nondestructive tool to discriminate TM from other edible fungi. In this work, a novel detection algorithm combined with near-infrared spectroscopy (NIR) and functional principal component analysis (FPCA) is proposed. Firs

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He, P., R. Hariharan, J. Chambost, et al. "P–166 Machine learning for automated cell segmentation in embryos." Human Reproduction 36, Supplement_1 (2021). http://dx.doi.org/10.1093/humrep/deab130.165.

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Abstract Study question Is it possible to automate the process of detecting individual blastomeres within a 4-cell embryo? Summary answer Deep learning models are capable of identifying individual cells in single focal plane images of 4-cell embryos. What is known already As individual blastomeres within a 4-cell embryo maintain totipotency, their intercellular junctions are critical in maintaining and directing communication. These junctions are determined by the zygote’s cleavage patterns, and can affect the overall embryo ‘shape’, which can be described as either ‘tetrahedral’ or ‘planar’.

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Galazis, C., K. Vimalesvaran, S. Zaman, et al. "Framework for large-scale automatic curation of heterogeneous cardiac MRI (ACUR MRI)." European Heart Journal - Cardiovascular Imaging 22, Supplement_2 (2021). http://dx.doi.org/10.1093/ehjci/jeab090.131.

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Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): UKRI CDT in AI for Healthcare http://ai4health.io and British Heart Foundation Background Data curation is an important process that structures and organises data, supporting research and the development of artificial intelligence models. However, manually curating a large volume of medical data is a time-consuming, repetitive and costly process that puts additional strain on clinical experts. The curation becomes more complex and demanding as more data sources are used. T

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"Object Detection: Automatic License Plate Detection using Deep Learning and OpenCV." International Journal of Engineering and Advanced Technology 9, no. 1 (2019): 6022–28. http://dx.doi.org/10.35940/ijeat.a1842.109119.

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Object Detection is one of the most important concepts of Computer Vision which is used in various areas like Medical Field, Security, Self Driving cars, Automated vehicle systems etc.We choose the application of Automatic License plate Recognition. Automatic License Plate Recognition is an emerging technology which is helpful in many fields and at the same time is challenging. It’s challenging because we need to get the accurate recognition of the characters in a number plate. In practical applications where sometimes the images are captured in the worst weather condition, bad lighting, wind.

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Belcastro, Loris, Fabrizio Marozzo, Domenico Talia, et al. "Using social media for sub-event detection during disasters." Journal of Big Data 8, no. 1 (2021). http://dx.doi.org/10.1186/s40537-021-00467-1.

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AbstractSocial media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters), a new method that analyzes user posts to discover sub-events that occurred after a disaster (e.g., collapsed buildings, broken gas pipes, floods). SEDOM-DD has been evaluated with datasets of different sizes that contain real posts from social media related to different natural disasters (e.g., earthquakes, floods and hurricanes). Starting from such data, we generated synthetic

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Kasture, Prof Pradnya, Purva Hattale, Vikrant Jangam, Shrutika Khilare, and Yash Ratnaparkhi. "Parking Space Tracker Using Image Visualization." International Journal of Advanced Research in Science, Communication and Technology, May 28, 2021, 396–403. http://dx.doi.org/10.48175/ijarsct-1265.

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In modern era, the trouble of parking is also growing because of the growth within side the quantity of vehicles. From the closing decade, there are numerous researches took place with an goal to broaden a really perfect automated parking slot occupancy detection. There is an auto mechanism that can park vehicle automatically but it is required to detect which parking slot is available and which one is busy. In this paper propose a parking space detection using image processing. In this paper proposes parking-space occupancy detection, Visualization of free parking spaces, Parking statistics,

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Patri, Adarsh S., Akito Sakai, SungBin Lee, Arun Paramekanti, Satoru Nakatsuji, and Yong Baek Kim. "Unveiling hidden multipolar orders with magnetostriction." Nature Communications 10, no. 1 (2019). http://dx.doi.org/10.1038/s41467-019-11913-3.

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Abstract Broken symmetries in solids involving higher order multipolar degrees of freedom are historically referred to as “hidden orders” due to the formidable task of detecting them with conventional probes. In this work, we theoretically propose that magnetostriction provides a powerful and novel tool to directly detect higher-order multipolar symmetry breaking—such as the elusive octupolar order—by examining scaling behaviour of length change with respect to an applied magnetic field h. Employing a symmetry-based Landau theory, we focus on the family of Pr-based cage compounds with strongly

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Becker, Gavin J., and Kathleen Nicholls. "Lipiduria – with special relevance to Fabry disease." Clinical Chemistry and Laboratory Medicine (CCLM) 53, s2 (2015). http://dx.doi.org/10.1515/cclm-2015-0499.

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AbstractExamination of the urine under the microscope using polarised light is invaluable for detecting and identifying lipid particles. Attention to the shape of these Maltese cross bearing bodies can distinguish conventional fat particles from Fabry bodies with great sensitivity and specificity across a wide phenotypic spectrum. This could be a cheap and rapid tool for screening subjects suspected of having Fabry disease for renal involvement. It remains to be seen whether there is value in integrating polarised light into automated urine microscopy machines, but potentially this could great

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