Application of artificial intelligence large language models in drug target discovery by Xinyu Liu, Jia Zhang, Xiaoran Wang, Maoda Teng, Guoying Wang, Xiaoming Zhou, Xiaoming Zhou

“…In proteomics, advancements have been made in protein structure analysis, function prediction, and interaction inference. Additionally, the single-cell multi-omics large language model facilitates data integration across different omics technologies. …”
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Rapid and accurate classification of mung bean seeds based on HPMobileNet by Shaozhong Song, Shaozhong Song, Shaozhong Song, Zhenyang Chen, Helong Yu, Helong Yu, Mingxuan Xue, Mingxuan Xue, Junling Liu

“…In this study, based on the deep learning model MobileNetV2, a DMS block is proposed for mung bean seeds, and by introducing the ECA block and Mish activation function, a high-precision network model, i.e., HPMobileNet, is proposed, which is explored to be applied in the field of image recognition for the fast and accurate classification of different varieties of mung bean seeds. …”
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YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

“…YOLO-PEST incorporates a custom-designed SC3 module to enhance low-level feature extraction and employs the GeLU activation function to address the vanishing gradient issue. Additionally, the model optimizes the neck design to re-duce semantic discrepancies between feature layers, improving small-target detection, and integrates large-kernel separable convolutions to bolster high-level feature processing. …”
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Enhancing Learning-Based Cross-Modality Prediction for Lossless Medical Imaging Compression by Daniel S. Nicolau, Lucas A. Thomaz, Luis M. N. Tavora, Sergio M. M. Faria

“…Subsequently, a decider based on a Convolutional Neural Network is employed to estimate the best coding approach to be selected among the two alternatives, before the coding step. A novel loss function that considers the decision accuracy and the compression gain of the chosen prediction approach is applied to improve the decision-making task. …”
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Difficulties in differential diagnosis between obstructive and non-obstructive azoospermia by S. I. Gamidov, T. V. Shatylko, A. Kh. Tambiev, N. G. Gasanov, A. Yu. Popova, A. A.A. Alravashdeh

“…Finally, the reference values of inhibin B offered by most laboratories are not intended to assess reproductive function.…”
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Musical auditory feedback BCI: clinical pilot study of the Encephalophone by Thomas A. Deuel, Thomas A. Deuel, James Wenlock, Alana McGovern, James Rosenthal, Juan Pampin

“…Subjects then underwent a pitch-matching task, a measure of accuracy, to attempt to match a given target pitch 3 times within 10 s. …”
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Mesenchymal stem cells: diversity by O. M. Grabovyi, N. M. Nevmerzhytska, L. M. Yaremenko, H. B. Kostynskyi, A. S. Demydchuk, H. Yu. Kondaurova

“…But such consequences of reparation often come into conflict with the goal of treatment, when the task is not the formation of a scar, but the restoration of the parenchyma of the organ and its function. …”
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IndoHerb: Indonesia medicinal plants recognition using transfer learning and deep learning by Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Ahmad Hoirul Basori, Andi Besse Firdausiah Mansur, Jati Batoro

“…The experimental setup featured essential hyperparameters, including the ExponentialLR scheduler with a gamma value of 0.9, a learning rate of 0.001, the Cross-Entropy Loss function, the Adam optimizer, and a training epoch count of 50. …”
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P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

“…Secondly, after analyzing the image set characteristics to be detected in this research, the point-line distance bounding box loss function is utilized to calculate the coordinate distance of the prediction box and target box, and aimed at improving detection speed. …”
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Telecom Fraud Recognition Based on Large Language Model Neuron Selection by Lanlan Jiang, Cheng Zhang, Xingguo Qin, Ya Zhou, Guanglun Huang, Hui Li, Jun Li

“…In the realm of natural language processing (NLP), text classification constitutes a task of paramount significance for large language models (LLMs). …”
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An Evaluation of the Balance Error Scoring System in Female Soccer Players Following Soccer Heading: A Pilot Study by Georgios Kakavas, Athanasios Tsiokanos, Michael Potoupnis, Panagiotis Tsaklis

“…# Background Soccer is a contact sport during which participants risk injury, including due to concussion. Interestingly, the task most frequently associated with concussions is the act of heading the ball. …”
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AdaptRehab VR: Development of an Immersive Virtual Reality System for Upper Limb Stroke Rehabilitation Designed for Low- and Middle-Income Countries Using a Participatory Co-Creati... by Chala Diriba Kenea, Teklu Gemechu Abessa, Dheeraj Lamba, Bruno Bonnechère

“…Rehabilitation plays a critical role in restoring function and independence, but it faces challenges such as low engagement, limited customization, difficulty tracking progress, and accessibility barriers, particularly in LMICs. …”
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Impact of Observation Duration in Action Observation Therapy: Manual Dexterity, Mirror Neuron System Activity, and Subjective Psychomotor Effort in Healthy Adults by Anri Sasaki, Eizaburo Suzuki, Kotaro Homma, Nariyuki Mura, Katsuhiko Suzuki

“…<b>Background/Objectives:</b> Action observation therapy (AOT) has gained attention as a rehabilitation method for motor function recovery following nerve injury. Although the total observation time and daily session duration have been studied, the effective observation duration per trial remains unclear. …”
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SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

“…Finally, we optimized the loss function by combining cross-entropy loss and dice loss, addressing the issue of sampling imbalance caused by the small areas of mangroves. …”
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The Impact of Edentulism and Periodontitis on Cognition by Lauren Berard, Miou Zhou

“…Both in vivo and in vitro studies have identified key pathogens, molecules, or cellular pathways that contribute to a more comprehensive understanding of the pathophysiologic processes that link different types of oral disease to cognitive brain function.Practical Implications The correlation between oral disease and cognitive impairment has been well established but further exploration of the molecular and cellular mechanisms underlying these relationships can provide therapeutic implications and stress the importance of oral health and preventative care.AbbreviationsAD: Alzheimer’s Disease; AFT: animal fluency test; BOP: bleeding on probing; BGI: biofilm-gingival interface; CAL: clinical attachment loss; CDT: clock drawing test; CERAD: Consortium to Establish a Registry for Alzheimer’s Disease word learning test; CNS: central nervous system; CP: chronic periodontitis; DSST: digital substitution test; IL-1β: interleukin 1β; IL-6: interleukin 6; LC: locus coeruleus; MMP: matrix metalloproteinase; MMSE: Mini-Mental Status Examination; MoCA: Montreal Cognitive Assessment; MRI: Magnetic Resonance Imaging; MWM: Morris water maze; NO: nitric oxide; PDL: periodontal ligament; PISA: periodontal inflamed surface area; PP2A: protein phosphatase 2A; RABL: radiographic alveolar bone loss; RANKL: Receptor activator of nuclear factor-κB ligand; SCT: spatial copying task; TLR4: toll-like receptor 4; TNF-α: tumor necrosis factor α; Vmes: Mesencephalic trigeminal nucleus.…”
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Vascular burden and brain aging in a senior volunteer cohort: A pilot study by Raymond Y Lo, Yen-Chieh Lo, Shu-Cin Chen, Yu-Ying Li, Ya-Ling Yang, Yu-Ling Chang, Huei-Chuan Sung, Tina H. T Chiu, Joshua O. S Goh

“…Objective: To test the feasibility of establishing a senior volunteer cohort and describe vascular risks, cognitive function, and brain aging indices in a pilot study. …”
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THE PROPOSAL MODEL OF RATIONAL WORKFORCE ASSIGNMENT IN DOKUZ EYLUL UNIVERSITY BY ANALYTIC HIERARCHY PROCESS BASED 0-1 INTEGER PROGRAMMING by Yılmaz GÖKŞEN, Hakan AŞAN, Onur DOĞAN, Mustafa ÜNLÜ, Osman PALA

“…The coefficients of the variables in the objective function of the assignment model constitute potential contributions of employees. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…Integrating the complete intersection over union (CIoU) loss function addresses standard IoU limitations by factoring in aspect ratio and bounding box center distance. …”
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Bi-Level Energy Dispatch Optimisation for Peak Load Shaving in Microgrids with Battery Storage by Mohd Fakhizan Romlie, Abid Ali, GM Shafiullah

“…Considering the reduction in power losses as a primary objective function, the genetic algorithm (GA) is used to solve the optimisation problem for three time-varying load profiles (industrial, residential, and commercial) using an IEEE 33 bus microgrids network. …”
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ERNIE-TextCNN: research on classification methods of Chinese news headlines in different situations by Yumin Yan

“…Finally, it utilizes a double-layer fully connected layer to adjust the output dimensions to fit the classification task, introducing the ReLU activation function between the layers to enhance the model’s expressive power. …”
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