Face Anti-Spoofing Based on Adaptive Channel Enhancement and Intra-Class Constraint by Ye Li, Wenzhe Sun, Zuhe Li, Xiang Guo

“…Moreover, the feature distributions of live and spoofed samples often overlap, resulting in suboptimal classification performance. To address these issues, we propose a jointly optimized framework integrating the Enhanced Channel Attention (ECA) mechanism and the Intra-Class Differentiator (ICD). …”
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Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG by Wenwen Chang, Wenchao Nie, Yueting Yuan, Yuchan Zhang, Renjie Lv, Lei Zheng, Guanghui Yan

“…Based on the brain signals, decoding and analyzing the gait features to make a reliable prediction of action intention are the core issues in the brain computer interface (BCI)-based hybrid rehabilitation and intelligent walking aid robot system. …”
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BaAM-YOLO: a balanced feature fusion and attention mechanism based vehicle detection network in aerial images by Xunxun Zhang, Xu Zhu

“…Additionally, to effectively model the target confidence loss and classification loss, we emplogyed focal loss to derive a loss function that facilitates dynamic adjustment for multi-class classification. …”
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Radiographic screening of indigenous South African rodent incisor teeth for the presence of elodontomas by Quintin Norval, Adrian Tordiffe, Gerhard Steenkamp

“…This study aimed to investigate the presence of elodontomas in South African rodents to propose a classification system for the anatomical location of maxillary incisor apices, which may influence susceptibility to respiratory issues. …”
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Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection by Md Tahsin, Maksura Binte Rabbani Nuha, Sumaiya Akter, Al Hossain, Mohammad Rifat Ahmmad Rashid, Raiha Ul Islam, Mohammad Shahadat Hossain

“…The incorporation of semi-supervised and XAI with the best pre-trained model insinuates that the classification process of the healthy leaves from diseased ones can have meticulous consequences without over-fitting issues with less amount of labeled data.…”
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Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…First, the optimal balance ratio is found through the classification accuracy, which changes the deficiency of the existing research that samples are imbalanced or the balance ratio is 1 : 1 and ensures the accuracy of the classification model. …”
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Interacting with fallible AI: is distrust helpful when receiving AI misclassifications? by Tobias M. Peters, Ingrid Scharlau

“…We created two image classification scenarios in which participants received mock-up AI advice. …”
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Midshaft clavicle fractures with associated ipsilateral acromioclavicular joint injuries: a systematic review by Chaoqun Wang, Xugui Li, Shengnan Dong, Wei Xie, Zexi Ling, Chengfei Meng, Ulrich Stöckle

“…Moreover, there is no consensus on the injury mechanism, classification, and treatment, and the prognosis remains poorly summarized. …”
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DIA-TSK: A Dynamic Incremental Adaptive Takagi–Sugeno–Kang Fuzzy Classifier by Hao Chen, Chenhui Sha, Mingqing Jiao, Changbin Shao, Shang Gao, Hualong Yu, Bin Qin

“…Extensive comparative experiments demonstrate that the DIA-TSK approaches significantly outperform existing incremental learning methods across multiple dynamic data sets, exhibiting notable advantages in terms of computational efficiency, classification accuracy and memory management. In the experimental comparison, O-DIA-TSK and B-DIA-TSK reach significant superiority in classification performance with respect to comparative methods, with up to 33.3% and 55.8% reductions in training time, respectively, demonstrating the advantage of DIA-TSK in classification tasks using dynamic data.…”
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Study on well logging reservoir fluid evaluation method based on 2D cloud model: A case study of Kuqa Depression, Tarim Basin by WANG Shuli, WANG Jinguo, ZHANG Chengsen, ZHANG Zhean, Kaysar PARHAT, LIU Longcheng

“…Conventional well logging methods rely on petrophysical models that correlate parameters such as porosity, permeability, and oil and gas saturation with reservoir fluid properties to achieve reservoir classification. However, complex geological conditions often lead to issues such as anomalies, multi-factor coupling, and ambiguous fluid boundaries in well logging data. …”
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Computed Tomographic Analysis of Medial Clavicular Epiphyseal Fusion for Age Estimation in Western Indian Population: A Cross-sectional Study by Padma V Badhe, Ajith R Varrior, Sumeet A Dhulshette, Manoj B Parchake, Moinuddin Sultan, Khushboo Tekriwal, Swapnil Moharkar, Abhijeet Shukla

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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study by Jinzhao Cui, Ting Zhang, Yifeng Shen, Xiaoli Wang, Liuyang Yang, Xuefeng Huang, Qiang Huang, Yu Yang, Weizhong Yang, Zhongjie Li

“…Traditional early warning models rely on binary (0/1) classification methods, which issue alerts only when predefined thresholds are crossed. …”
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POJĘCIA I ŻYWOTNOŚĆ RZYMSKIEGO PRAWA KARNEGO by Luigi Garofalo

“…It is pointed out that the only Roman lawyer who tried classifying Roman criminal law was Claudius Saturninus (D. 48,19,16). His classification is later discussed in the article as well as some of the crimina (public law crimes), observing that the Romans never separated the Roman criminal law from ius. …”
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Beyond dietary therapy: addressing weight stigma awareness in medical students by Giuseppe Annunziata, Giordano Bruno Zonzini, Evelyn Frias-Toral, Raynier Zambrano-Villacres, Alexander Bertuccioli, Davide Sisti, Ludovica Verde, Daniele Di Pauli, Annamaria Colao, Giovanna Muscogiuri, Daniel Simancas-Racines, Alessandro Gennaro, Luigi Barrea

“…The analysis explored variations in stigma levels based on gender, BMI classification, nationality, Italian regional location, level of academic education, medical history, and lifestyle factors. …”
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Cytological evaluation of p16Ink4a in precancerous lesions of the cervix: Conventional papanicolaou smears by Seema Singhal, Vinod Kumar Arora

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Rest intolerance and associated factors among Chinese nursing students: a cross-sectional network analysis by Jiukai Zhao, Yibo Wu, Jiayi Xu, Kunshuo Du, Yu Yang, Shuang Zang

“…Objective This study aims to investigate rest intolerance and its associated factors among nursing students using the social ecological model, and to identify central indicators for intervention targets that alleviate this issue through network analysis. Methods This research is a nationwide cross-sectional study using network analysis. …”
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Distinct Roles of HHLA2 and PD-L1 in the Immune Cell and Prognosis of Hepatocellular Carcinoma by Wang CH, Chen SL, Yang X, Wu T, Liu LL, Yun JP

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Detection of strawberry bloom phenology based on YOLO-RCMC and flower opening scale by Junquan Zhen, Yuke Wang, Xunhui Liu, Linfan Zhou, Shuqin Yang, Dong Wang

“…In addition, the RCM variants were integrated into the head of the model to reduce classification errors and improve detection accuracy. …”
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Effect of adherent perinephric fat on outcomes of nephron-sparing treatment of renal cell cancer by S. V. Kotov, R. I. Guspanov, A. G. Yusufov, A. A. Nemenov, A. A. Mantsov

“…In each group, the following indicators were assessed: stage according to the TNM classification, mean age and BMI, average nephrometry score according to the R.E.N.A.L. system, glomerular filtration rate (GFR).Results. …”
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Early behavioral indicators of aberrant feces in newly-weaned piglets by Vivian L. Witjes, Fleur Veldkamp, Francisca C. Velkers, Ingrid C. de Jong, Ellen Meijer, Johanna M. J. Rebel, Jan A. Stegeman, Tijs J. Tobias

“…Current algorithms enable automated behavioral classification on the group level, while PWD may not affect all piglets in one pen and individual level analysis may be required. …”
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