The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…Statistical tests indicated a highly significant difference in slope (p < 0.01) and a significant difference in tree distance and aspect (p < 0.05) between sett quadrats and random point quadrats. …”
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Software Effort Estimation Using Multi Expression Programming by Najla Al-Saati, Taghreed Alreffaee

“…As for to the test data, benchmark known datasets are employed taken from previous projects, the results are evaluated by comparing them with the results of Genetic Programming (GP) using different fitness functions. …”
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Comprehensive Analysis of the Influence of Technical and Biological Variations on De Novo Assembly of RNA-Seq Datasets by Gonzalez Sergio Alberto, Rivarola Maximo, Ribone Andres, Lew Sergio, Paniego Norma

“…In addition, the accuracy of quality metrics used to evaluate assemblies remains unclear. In this study, we investigate and discuss how different variables accounting for the complexity of RNA-Seq data influence assembly results independently of the software used. …”
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Multiobjective Design Optimization of Grillage Systems according to LRFD-AISC by Tugrul Talaslioglu

“…Hence, while the computational performances of these four optimization algorithms are compared using different combinations of optimizer-related parameters, the various strengths of grid members are also evaluated. …”
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The most common errors in automatic ECG interpretation by Krzysztof Kraik, Krzysztof Kraik, Irena Anna Dykiert, Irena Anna Dykiert, Joanna Niewiadomska, Joanna Niewiadomska, Marta Ziemer-Szymańska, Karolina Mikołajczak, Karolina Mikołajczak, Mikołaj Kreń, Mikołaj Kreń, Piotr Kukiełka, Piotr Kukiełka, Adrian Martuszewski, Adrian Martuszewski, Tomasz Harych, Rafał Poręba, Paweł Gać, Małgorzata Poręba

“…Medical personnel worldwide routinely use the automatic analysis and interpretation of ECGs to support their medical evaluation of patients’ electrocardiograms.MethodsIn the current study, we performed a precise analysis of electrocardiograms from 526 different patients and compared it to the automatic interpretations to determine the frequency of false-positive (overinterpretation) and false-negative (underinterpretation) incorrect interpretations.ResultsIt was found that about 39% of ECGs were interpreted incorrectly and amongst the misinterpreted 193 ECG cases, 58% were false-negative, while 57% were false-positive. …”
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SIMULATION TRAINING IN MEDICAL STUDENT PREPARATION by Oleg V. Zinchenko, Alla A. Muravyeva, Oksana V. Vladimirova

“…This article outlines new methods of three-stage preparation of students using simulation technics and involving the students in the role of a simulator for modeling different clinical situation cases. The developed method of preparation and improvement of professional skills of medical students allows to study algorithms of first aid in critical cases more deeply, to learn emergency medical manipulations, to be able to evaluate the results of performed manipulations. …”
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MSSUTop-: Determining the Minimum Scan Scope for UTop- Query over Uncertain Data by Zhibin Zhao, Lan Yao, Ge Yu, Yubin Bao, Zhengbing Ma

“…In this direction, several optimized algorithms have been developed. However, uncertain databases are different in data distributions under different scoring functions, which has significant influence on the performance of the existing optimizing algorithms. …”
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A detailed comparison of analysis processes for MCC-IMS data in disease classification-Automated methods can replace manual peak annotations. by Salome Horsch, Dominik Kopczynski, Elias Kuthe, Jörg Ingo Baumbach, Sven Rahmann, Jörg Rahnenführer

“…We determine which specific algorithmic combinations lead to high AUC values in disease classifications across the different medical application scenarios.…”
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MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…The system includes a recommendation module that seeks advice from different domain experts based on user requirements. …”
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Design Principles for Reinforcement Learning in Congestion Control Environments by Lincoln Kamau Kiarie, Mahsa Derakhshani, Konstantinos G. Kyriakopoulos

“…This paper evaluates different design strategies for developing the state space and how they contribute to learning. …”
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Implications of variability in triceps surae muscle volumes on peak lower limb muscle forces during human walking. by Christine M Harper, Adam D Sylvester, Patricia Ann Kramer

“…Maximum muscle forces were calculated using inverse dynamics and an algorithm to solve the muscle redundancy problem in the AnyBody Modeling System. …”
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Comparison of digital loudspeaker - equalization techniques by P. Dziechciński

“…On the basis of objective assessments of 32 equalization systems carried out for two stereophonic pairs of loudspeaker systems algorithms yielding the best results for each of the tested filter structures (FIR, IIR, WFIR and WIIR) were selected and evaluated by listening tests. …”
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Analytical Validation of Wrist-Worn Accelerometer-Based Step-Count Methods during Structured and Free-Living Activities by Robert T. Marcotte, Shelby L. Bachman, Yaya Zhai, Ieuan Clay, Kate Lyden

“…Four open-source methods implementing different algorithmic approaches were applied to CPIW data to derive step counts. …”
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Stability indicators in network reconstruction. by Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello

“…The number of available algorithms to infer a biological network from a dataset of high-throughput measurements is overwhelming and keeps growing. …”
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Epidemiology of Polytrauma at a Teaching Hospital in Northern Ghana: A Cross-Sectional Study by Anwar Sadat Seidu, Abdul Rauf Alhassan, Alexis Dun Bo-ib Buunaaim

“…This study aimed to evaluate the epidemiological profile of polytrauma and outline the distribution of extremity fractures among cases in Northern Ghana. …”
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Development and validation of novel machine learning-based prognostic models and propensity score matching for comparison of surgical approaches in mucinous breast cancer by Chunmei Chen, Jundong Wu, Yutong Fang, Yong Li, Qunchen Zhang

“…Cox analysis and propensity score matching were applied to evaluate survival differences between MBC patients undergoing mastectomy and breast-conserving surgery (BCS). …”
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Comprehensive analysis of IRF8-related genes and immune characteristics in lupus nephritis by Zhibin Yu, Chenghui Zheng, Yilun Wang

“…A diagnostic classifier was built using the RandomForest method to evaluate the diagnostic potential of selected key genes. …”
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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…However, no comprehensive survey has been conducted on integrated IoT- and computing-based systems that deploy deep learning for disease detection. This study evaluated different machine learning and deep learning algorithms and their hybrid and optimized algorithms for IoT-based disease detection, using the most recent papers on IoT-based disease detection systems that include computing approaches, such as cloud, edge, and fog. …”
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dmQAR: Mapping Metacognition in Digital Spaces onto Question–Answer Relationship by Brittany Adams, Nance S. Wilson, Gillian E. Mertens

“…In response to the nonlinear, multimodal, and algorithmically curated nature of online texts, the dmQAR Framework scaffolds purposeful metacognitive questioning to support comprehension, evaluation, and critical engagement. …”
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The effect of lipid accumulation product and its interaction with other factors on hypertension risk in Chinese Han population: A cross-sectional study. by Jian Song, Yingying Zhao, Sumei Nie, Xue Chen, Xuesen Wu, Jing Mi

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