Platelet-to-high-density lipoprotein ratio (PHR) as a predictive biomarker for gastrointestinal cancers: evidence from NHANES by Yan Tong, Xiaojun Lou

“…Despite advancements in diagnostic tools, early detection remains challenging, particularly in low-resource settings. …”
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A Convolutional Neural Network for Early Supraventricular Arrhythmia Identification by Emilio J. Ochoa, Luis C. Revilla

“…Following the methodology, classic signal preprocessing techniques (filtering and data normalization) were used. The proposed model was based on the UNET 1D model. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…The name "machine learning" refers to the automated detection of meaningful patterns in large data sets.  …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…The name "machine learning" refers to the automated detection of meaningful patterns in large data sets.  …”
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Rethinking Media Users in the Age of AI and Algorithmic Mediation by Jaemin Jung, Jeong-Nam Kim

“…We classify the essays into four groups: AI adoption and professional integration; AI governance, ethics, and societal risk; pseudo-information detection and correction; and data-science methods for opinion and behavior analysis. …”
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Leakage Source Localisation Employing 3D-CFD Simulations and Gated Recurrent Units in Hydrogen Releases by André Z. Selvaggio, Sávio S.V. Vianna

“…Gas leakages present significant explosion hazards in industrial settings, potentially leading to substantial human casualties, environmental damage, and economic losses in accident scenarios. …”
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A method for feature division of Soccer Foul actions based on salience image semantics. by Jianming Wang, Lifeng Li

“…The experimental results show that DLSPM performs significantly better than the existing methods on multiple video motion recognition data sets, especially when dealing with complex scenes and dynamic changes. …”
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Comparison of Surface Current Measurement Between Compact and Square-Array Ocean Radar by Yu-Hsuan Huang, Chia-Yan Cheng

“…International ocean observing programs have developed quality management procedures to enhance data reliability. In Taiwan, the Taiwan Ocean Research Institute (TORI) has established a data quality management mechanism based on international standards for data filtering, noise reduction, and outlier detection, improving the accuracy and stability of radar-derived velocity measurements.To eliminate the effects caused by different center frequencies between MABT and KNTN, this study used the same algorithms and parameter settings as much as possible in all steps, from Doppler spectra processing to radial velocity calculation, ensuring the comparability of the data. …”
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AstroM3: A Self-supervised Multimodal Model for Astronomy by M. Rizhko, J. S. Bloom

“…We extend the Contrastive Language-Image Pretraining (CLIP) model to a trimodal setting, allowing the integration of time-series photometry data, spectra, and astrophysical metadata. …”
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Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network by Guo-Hong Deng, Peng-Cheng Xie, You-Wen Sun, Hui-Hui Wang, Jian Xu, Qun Ma, Shuai Gu, Hui Sheng, Hua Yang, Gao-Ting Chen

“…Parameters from scaling laws, which are related to thermal energy confinement time and heating threshold of L–H transition, are selected as features for identifying the operational modes. The data set used for supervised learning is collected from ELM control experiments in EAST. …”
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A New Classification Method in Ultrasound Images of Benign and Malignant Thyroid Nodules Based on Transfer Learning and Deep Convolutional Neural Network by Weibin Chen, Zhiyang Gu, Zhimin Liu, Yaoyao Fu, Zhipeng Ye, Xin Zhang, Lei Xiao

“…The joint training of different data sets and the secondary transfer learning further improved its accuracy. …”
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Large-Scale Analysis of Auditory Segregation Behavior Crowdsourced via a Smartphone App. by Sundeep Teki, Sukhbinder Kumar, Timothy D Griffiths

“…Despite differences in paradigms and experimental settings, the observed target-detection performance by users of the app was robust and consistent with our previous results from the psychophysical study. …”
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Application of the Rasch model in streamlining an instrument measuring depression among college students by Sherwin Balbuena

“…The strategy was applied to two sets of survey data collected from the same population of college students enrolled in a Philippine university but in different semesters. …”
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TrustBlock: An adaptive trust evaluation of SDN network nodes based on double-layer blockchain. by Bo Zhao, Yifan Liu, Xiang Li, Jiayue Li, Jianwen Zou

“…In this paper, the entropy method is used to determine the weight of each evaluation attribute, which can avoid the problem that the subjective judgment method is not adaptable to the weight setting. Simulation results show that the detection rate of the TrustBlock is up to 98.89%, which means this model can effectively identify the abnormal nodes in SDN. …”
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Application of Feature Fusion Using Coaxial Vibration Signal for Diagnosis of Rolling Element Bearings by Jing Jiao, Jianhai Yue, Di Pei, Zhunqing Hu

“…In order to verify the effectiveness of the CVSFF method in REB diagnosis, eight data sets from the Case Western Reserve University Bearing Data Center are selected. …”
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The Applications of Large Language Models in Mental Health: Scoping Review by Yu Jin, Jiayi Liu, Pan Li, Baosen Wang, Yangxinyu Yan, Huilin Zhang, Chenhao Ni, Jing Wang, Yi Li, Yajun Bu, Yuanyuan Wang

“…There is an urgent need in mental health for efficient detection methods, effective treatments, affordable privacy-focused health care solutions, and increased access to specialized psychiatrists. …”
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Minimum requirements and optimal testing strategies of a diagnostic test for leprosy as a tool towards zero transmission: A modeling study. by David J Blok, Sake J de Vlas, Annemieke Geluk, Jan Hendrik Richardus

“…In this study we assessed the minimum sensitivity level of such a (hypothetical) diagnostic test and the optimal testing strategy in order to effectively reduce the new case detection rate (NCDR) of leprosy.<h4>Methods and findings</h4>We used the individual-based model SIMCOLEP, and based it on previous quantification using COLEP data, a cohort study of leprosy cases in Bangladesh. …”
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The Late Orchid Catches the Bee: Frost Damage and Pollination Success in the Face of Global Warming in a European Terrestrial Orchid by Florian P. Schiestl, Beat A. Wartmann, Ruth Bänziger, Brigitte Györög‐Kobi, Klaus Hess, Jürg Luder, Edith Merz, Beat Peter, Max Reutlinger, Tobias Richter, Heinz Senn, Thomas Ulrich, Beate Waldeck, Claudia Wartmann, Roland Wüest, Walter Wüest, Quint Rusman

“…All populations but one had very low fruit set, and plants that flowered earlier were less likely to set fruit. …”
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Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study by Cheng-Fu Lin, Pei‐Jung Chang, Hui-Min Chang, Ching-Tsung Chen, Pi-Shan Hsu, Chieh-Liang Wu, Shih-Yi Lin

“…The goal was to improve the early detection of patient deterioration and enhance care delivery in home settings. …”
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From laboratory to field: cross-domain few-shot learning for crop disease identification in the field by Sen Yang, Quan Feng, Jianhua Zhang, Wanxia Yang, Wenwei Zhou, Wenbo Yan

“…However, current FSL approaches are usually limited to a restrictive setting where base classes and novel classes come from the same domain such as PlantVillage. …”
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