Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model by Rajkumar Rajavel, Lalitha Krishnasamy, Partheeban Nagappan, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy

“…In addition, the proposed adaptive probabilistic trust management model formulates the sequence of bilateral negotiation process among the participants as a Bayesian learning process. …”
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MHCAGAT: A Meta Hybrid Convolution Attention Network for Urban Traffic Flow Prediction by Yu Zhan, Suzi Iryanti Fadilah, Azizul Rahman Mohd Shariff

“…Experiments conducted on real-world traffic data from the Luohu District of Shenzhen demonstrate that MHCAGAT ranks within the top two across all five evaluation metrics while maintaining the lowest standard deviation, indicating exceptional stability and robustness. …”
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Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt by Aubin Ramon, Mingyang Ni, Olga Predeina, Rebecca Gaffey, Patrick Kunz, Shimobi Onuoha, Pietro Sormanni

“…Training on limited data can lead to overfitting and poor generalizability to sequences distant from those in the training set. Additionally, inadequate use of scarce and disparate data can introduce biases during evaluation, leading to unreliable model performances being reported. …”
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In Vivo and In Vitro Studies Assessing the Safety of Monosodium Glutamate by Tania Merinas-Amo, Rocío Merinas-Amo, Ángeles Alonso-Moraga, Rafael Font, Mercedes Del Río Celestino

“…The controversial results of research on monosodium glutamate demand a new data corpus for the overall safety evaluation. Both animal and cellular model systems have been used to add a multilevel scope on its biological effects. …”
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Accurate and Robust Stellar Rotation Periods Catalog for 82771 Kepler Stars Using Deep Learning by Ilay Kamai, Hagai B. Perets

“…We analyze the light-curve data from the Kepler space mission and develop a novel tool for deriving the stellar rotation periods for main-sequence stars. Using this tool, we provide rotation periods for more than 80K stars. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Findings indicate that during periods of high platform load, attack frequency is positively correlated with users' defensive behavior, confirming a potential causal sequence of "capital influx-user expansion-increased attack exposure." …”
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Comparative analysis of chloroplast genomes of seven Juniperus species from Kazakhstan. by Shyryn Almerekova, Moldir Yermagambetova, Smatulla Jumanov, Saule Abugalieva, Yerlan Turuspekov

“…A comparative assessment of pt genome sequences suggested the identification of 1145 simple sequence repeat markers. …”
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Analysis Method of Combine Harvesters Technical Level by Functional and Structural Parameters by E. V. Zhalnin, Yu. S. Tsench, V. S. P'yanov

“…The analysis of modern methods of evaluation of the grain harvesters technical level revealed a discrepancy in various criteria: comparative parameters, dimensionless series, the names of firms, the power of the motor, the width of the capture of the harvester, the capacity at the location of the manufacturer plant, advertising brands. …”
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Insights into the nuclear-organelle DNA integration in Cicuta virosa (Apiaceae) provided by complete plastid and mitochondrial genomes by Seongjun Park, Yong Hwang, Heesoo Kim, KyoungSu Choi

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Video-Based Sign Language Recognition via ResNet and LSTM Network by Jiayu Huang, Varin Chouvatut

“…LSTM utilizes the concept of gates to control unit states and update the output feature values of sequences. ResNet extracts the sign language features. …”
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UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides by Zixin Chen, Chengming Ji, Wenwen Xu, Jianfeng Gao, Ji Huang, Huanliang Xu, Guoliang Qian, Junxian Huang

“…We observe that feature vectors used in various existing studies constructed from peptide information, such as sequence, composition, and structure, can be augmented and even replaced by information inferred by deep learning models. …”
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Successful Precipitation Downscaling Through an Innovative Transformer-Based Model by Fan Yang, Qiaolin Ye, Kai Wang, Le Sun

“…The module is capable of studying dependencies between different locations in the input sequence and modeling at different scales, which allows it to fully capture spatiotemporal correlations in meteorological element data, which is also not available in other downscaling methods. …”
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Assessment of Left Ventricular Function in Cardiac MSCT Imaging by a 4D Hierarchical Surface-Volume Matching Process by Mireille Garreau, Antoine Simon, Dominique Boulmier, Jean-Louis Coatrieux, Hervé Le Breton

“…Multislice computed tomography (MSCT) scanners offer new perspectives for cardiac kinetics evaluation with 4D dynamic sequences of high contrast and spatiotemporal resolutions. …”
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MRF-Mixer: A Simulation-Based Deep Learning Framework for Accelerated and Accurate Magnetic Resonance Fingerprinting Reconstruction by Tianyi Ding, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, Hongfu Sun

“…Evaluation on simulated and in vivo data showed that MRF-Mixer outperforms dictionary matching and existing deep learning methods for T1 and T2 mapping. …”
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The role of artificial intelligence in building an adaptive educational environment by M. A. Izmailova

“…The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis.   Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. …”
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DSF-YOLO for robust multiscale traffic sign detection under adverse weather conditions by Jun Li, QinWen Deng, WenXin Gao, Bing Yang, Lan Jia, Ju Zhou, HaiBo Pu

“…This model employs an attention-based dynamic sequence fusion feature pyramid, which enhances recognition accuracy for small-target traffic sign instances in adverse weather, as opposed to traditional feature pyramid networks. …”
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Molecular and Biochemical Characterization of the Greek Pepper ( Capsicum annuum ) Cultivars ‘Florinis’ and ‘Karatzova’ by Niki Mougiou, Foteini Trikka, Sofia Michailidou, Mariana Pantoura, Anagnostis Argiriou

“…In that aspect, genetic profiles of ‘Florinis’, a ‘Florinis’-type and ‘Karatzova’ peppers, were studied using Inter Simple Sequence Repeats (ISSR) molecular markers and an automated fragment detection system. …”
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Leveraging Transformer Models for Enhanced Pharmacovigilance: A Comparative Analysis of ADR Extraction from Biomedical and Social Media Texts by Oumayma Elbiach, Hanane Grissette, El Habib Nfaoui

“…The task was approached as a sequence labeling problem, where each token in the text is classified as part of an ADR or not. …”
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Mushrooms as a crop of agricultural production by V. A. Sysuev, I. G. Shirokikh, A. A. Shirokikh, Yui Li

“…The paper provides the results of evaluation of the prospects of the biotechnological use of some wood-attacking fungi in the cultivation of their mycelium. …”
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Diffuse large B-cell lymphoma combined with two solid tumors: a case report by Xiufang Zhang, Shaojun Zhou, Yuqiao Zhou, Huiqing Qiu

“…Post-treatment evaluation showed complete remission (CR) in both tumors. …”
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