Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis by Si-Lian Shen, Jian-Ling Cui, Chun-Wei Wang

“…Some simulation experiments are then conducted to evaluate the performance of the proposed methodology. A real-world data set is finally analyzed to demonstrate the application of the method.…”
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Development of models for classifying the movements of an anthropomorphic body from a video stream by M. V. Tereshchuk, A. V. Zubkov, Yu. A. Orlova, D. R. Molchanov, V. A. Litvinenko, D. R. Cherkashin

“…During the research, a set of experimental data was collected.Result. As a result, a method for classifying video images of a visible phenomenon was developed, which differs from the use of existing models to detect key points of an anthropomorphic body in an image.Conclusion. …”
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Membership inference attacks against transfer learning for generalized model by Jinyin CHEN, Wenchang SHANGGUAN, Jingjing ZHANG, Haibin ZHENG, Yayu ZHENG, Xuhong ZHANG

“…For the problem of poor performance of exciting membership inference attack (MIA) when facing the transfer learning model that is generalized, the MIA for the transfer learning model that is generalized was first systematically studied, the anomaly detection was designed to obtain vulnerable data samples, and MIA was carried out against individual samples.Finally, the proposed method was tested on four image data sets, which shows that the proposed MIA has great attack performance.For example, on the Flowers102 classifier migrated from VGG16 (pretraining with Caltech101), the proposed MIA achieves 83.15% precision, which reveals that in the environment of transfer learning, even without access to the teacher model, the MIA for the teacher model can be achieved by visiting the student model.…”
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Which social media platforms facilitate monitoring the opioid crisis? by Kristy A Carpenter, Anna T Nguyen, Delaney A Smith, Issah A Samori, Keith Humphreys, Anna Lembke, Mathew V Kiang, Johannes C Eichstaedt, Russ B Altman

“…We evaluate the potential of a broad set of platforms to detect emerging trends in the opioid use disorder and overdose epidemic. …”
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One-step diagnosis of infection and lung cancer using metagenomic sequencing by Shaoqiang Li, Yangqing Zhan, Yan Wang, Weilong Li, Xidong Wang, Haoru Wang, Wenjun Sun, Xuefang Cao, Zhengtu Li, Feng Ye

“…However, critical evidence is still lacking regarding its diagnostic performance in distinguishing between pulmonary infections, tumors, and non-infectious, non-tumor conditions in real clinical settings. Methods In this study, data were gathered from 223 participants presenting symptoms of lung infection or tumor who underwent Onco-mNGS testing. …”
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The sensory wheel of virgin olive oil by Jos Mojet, Sijmen de Jong

“…Whereas the QDA-method is especially suitable for determining sensory profiles according to the perception of the consumer, the COI-method should be tailored to detect possible defects only. In order to cluster all attributes to one condensed set of sensory attributes for describing virgin olive oil, the COI and QDA data of ail panels were pooled and analyzed separately for appearance, texture and flavour. …”
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Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers’ Perspectives in Western Cameroon by Magali Jonnalagedda-Cattin, Alida Manoëla Moukam Datchoua, Virginie Flore Yakam, Bruno Kenfack, Patrick Petignat, Jean-Philippe Thiran, Klaus Schönenberger, Nicole C Schmidt

“…ConclusionsThis study provides practical insights from HCPs in Western Cameroon regarding the adoption of CAD tools for VIA in clinical settings. CAD technology can aid diagnostic objectivity; however, data management, workflow adaptation, and infrastructure limitations must be addressed to avoid “pilotitis”—the failure of digital health tools to progress beyond the pilot phase. …”
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Self-Adaptive Sampling Rate to Improve Network Lifetime using Watchdog Sensor and Context Recognition in Wireless Body Sensor Networks by Hamid Mehdi, Houman Zarrabi, Ahmad Khadem Zadeh, AmirMasoud Rahmani

“…In this article, we are interested to propose an energy efficient Adaptive Sampling (AS) rate specification algorithm to set the amount of sensed data. According to the National Early Warning Score (NEWS), the sensors gather data and detect emergency data.  …”
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Role of placebo samples in observational studies by Ye Ting, He Qijia, Chen Shuxiao, Zhang Bo

“…In an observational study, it is common to leverage known null effects to detect bias. One such strategy is to set aside a placebo sample – a subset of data immune from the hypothesized cause-and-effect relationship. …”
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Conducting active screening for human African trypanosomiasis with rapid diagnostic tests: The Guinean experience (2016-2021). by Oumou Camara, Justin Windingoudi Kaboré, Aïssata Soumah, Mamadou Leno, Mohamed Sam Bangoura, Dominique N'Diaye, Adrien Marie Gaston Belem, Sylvain Biéler, Mamadou Camara, Jean-Mathieu Bart, Brice Rotureau, Bruno Bucheton

“…Here, we assess the performance of these RDTs, alone or in different combinations, through the analysis of both prospective and retrospective data. A parallel assessment showed a higher positivity rate of Abbott Bioline HAT 2.0 (6.0%, n = 2,250) as compared to HAT Sero-K-SeT (1.9%), with a combined positive predictive value (PPV) of 20.0%. …”
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Identification and Correction for Sun Glint Contamination in Microwave Radiation Imager-Rainfall Mission Global Ocean Observations Onboard the FY-3G Satellite by Qiumeng Xue, Xuanyuan Yang, Qiang Zhang, Zhenxing Liu

“…This paper focuses on the newly launched Chinese FY-3G satellite’s Microwave Radiation Imager-Rainfall Mission (MWRI-RM) instrument, aiming to detect sun glint contamination and set a critical angle for data quality control. …”
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Evaluation of bacterial leaf spot on sweet pepper with visual assessment and multispectral sensor device by Danojević Dario, Medić-Pap Slađana, Ljubičić Nataša, Glogovac Svetlana, Ivošević Bojana

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Kinematics of Milky Way Satellites: Mass Estimates, Rotation Limits, and Proper Motions by Louis E. Strigari

“…In the past several years kinematic data sets from Milky Way satellite galaxies have greatly improved, furthering the evidence that these systems are the most dark matter dominated objects known. …”
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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…In specific case scenarios, RF models showed particular strength in handling high-dimensional sensor data in fault detection in manufacturing quality assurance operations. …”
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Genomic analysis of oxacillin-susceptible mecA-positive Staphylococcus haemolyticus ST159 isolated from anovaginal colonization in Brazil by Andre Rio Tinto, Dr Natáli Costa, Dr Laura Oliveira, Prof. Sergio Fracalanzza, Prof. Lucia Teixeira, Dr. Penelope Marinho, Prof. Tatiana Pinto

“…A novel ST159 was determined using PubMLST. This data corroborates the need for further understanding of OS-MRS epidemiology in our setting, and the importance of specific protocols for its detection.…”
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Anxiety Levels Among Women Undergoing Mammogram Screening by Wedad M. Almutairi, Salwa Hassan Alzahrani

“…Mammography screening is one of the most effective methods of early detection. However, anxiety about mammogram screening may affect early detection. …”
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FORCETRACKER: A versatile tool for standardized assessment of tissue contractile properties in 3D Heart-on-Chip platforms. by José M Rivera-Arbeláez, Milica Dostanić, Laura M Windt, Jeroen M Stein, Carla Cofiño-Fabres, Tom Boonen, Maury Wiendels, Albert van den Berg, Loes I Segerink, Christine L Mummery, Pasqualina M Sarro, Berend J van Meer, Marcelo C Ribeiro, Massimo Mastrangeli, Robert Passier

“…ForceTracker is coded in Python and uses a multi-threading approach for time-efficient analysis of large data sets in multiple formats. The software efficiency to analyze circular and rectangular pillar shapes is successfully tested by analyzing different format videos from two EHT platforms, developed by different research groups. …”
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VisME: Visual microsaccades explorer by Tanja Munz, Lewis L. Chuang, Sebastian Pannasch, Daniel Weiskopf

“…This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. …”
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Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

“…Deep Neural Networks (DNNs) have emerged as a prominent set of algorithms for complex real-world applications. …”
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Development of Fault Online Monitoring Device for the Medium Voltage Cable Terminal by LIU Ji, ZONG Bang-kui, ZHANG Da-ning, ZHANG Xian-lian

“…The lower computer takesMSP430F149 as the core，sets the temperature sensor，the fault current sensor，the high voltage electricity sensor in an integrated detection unit，which is composed of a cable terminal intelligent detection unit. …”
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