Automatic Acne Detection Model Based on Improved YOLOv7 by Delong Zhang, Chunyang Jin, Zhidong Zhang, Xiyuan Cao, Chenyang Xue

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AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…Moreover, the coarse predictions and refined predictions are combined by using a loss function that employs cross-entropy loss and generalized dice loss to efficiently tackle the challenge of class imbalance among nuclei in histology images. …”
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Cognitive Electronic Unit for AI-Guided Real-Time Echocardiographic Imaging by Emanuele De Luca, Emanuele Amato, Vincenzo Valente, Marianna La Rocca, Tommaso Maggipinto, Roberto Bellotti, Francesco Dell’Olio

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Developing The E-Module of The Cidayu (Chinese, Dayak, and Malay) Community’s Local Wisdom Using Fliphtml5 Software by Dina Anika Marhayani, Dodik Kariadi, Rini Setyowati, Mertika Mertika, Evinna Cinda H, Wasis Suprapto, Fajar Wulandari

“…Therefore, it can be concluded that this electronic module can function as an independent learning resource that can be accessed for individual learning, so that it can improve students' learning achievements in terms of learning outcomes.…”
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Development of Textbook: Mental Health Flipbook for Guidance and Counselling Student in Higher Education by Risma Anita Puriani, Ratna Sari Dewi, Khadijah Lubis, Leny Marlini, Nanda Putra Pratama

“… Textbooks are one of the media specifically designed to assist the learning process in a particular subject area. Textbooks have an important function, books that are used as handbooks for courses compiled and written by experts in their fields. …”
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Efficient Single-Exposure Holographic Imaging via a Lightweight Distilled Strategy by Jiaosheng Li, Haoran Liu, Zeyu Lai, Yifei Chen, Chun Shan, Shuting Zhang, Youyou Liu, Tude Huang, Qilin Ma, Qinnan Zhang

“…The integration of deep learning (DL) advancements with physics-informed methodologies has opened new avenues for tackling this challenge. …”
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Vision-Based Localization Method for Picking Points in Tea-Harvesting Robots by Jingwen Yang, Xin Li, Xin Wang, Leiyang Fu, Shaowen Li

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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…The optimized features are fed into machine learning classifiers to achieve robust classification performance. …”
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Reconstruction of reservoir rock using attention-based convolutional recurrent neural network by Indrajeet Kumar, Anugrah Singh

“…This deep learning method is computationally efficient, fast, and reliable for synthetic image realizations. …”
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A Convolutional Neural Network for Early Supraventricular Arrhythmia Identification by Emilio J. Ochoa, Luis C. Revilla

“…A binary cross-entropy loss function, Adam optimizer, and a batch size of 128 were obtained after a hyperparameter tuning. …”
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Robust Fusion of Time Series and Image Data for Improved Multimodal Clinical Prediction by Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie, Parsa Sharifi Sedeh, Zahra Ahmadi, Prasenjit Mitra, Wolfgang Nejdl

“…We also deal with imbalanced datasets and use an uncertainty loss function, yielding improved results while simultaneously providing a principled means of modeling uncertainty. …”
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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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Phenotyping, genome‐wide dissection, and prediction of maize root architecture for temperate adaptability by Weijun Guo, Fanhua Wang, Jianyue Lv, Jia Yu, Yue Wu, Hada Wuriyanghan, Liang Le, Li Pu

“…Furthermore, we performed machine learning prediction models of RSA using root slice traits, achieving high prediction accuracy. …”
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Prioritizing Research for Enhancing the Technology Readiness Level of Wind Turbine Blade Leading-Edge Erosion Solutions by Sara C. Pryor, Rebecca J. Barthelmie, Jacob J. Coburn, Xin Zhou, Marianne Rodgers, Heather Norton, M. Sergio Campobasso, Beatriz Méndez López, Charlotte Bay Hasager, Leon Mishnaevsky

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Improved CSW-YOLO Model for Bitter Melon Phenotype Detection by Haobin Xu, Xianhua Zhang, Weilin Shen, Zhiqiang Lin, Shuang Liu, Qi Jia, Honglong Li, Jingyuan Zheng, Fenglin Zhong

“…Finally, WIoUv3 was introduced as the bounding box loss function to improve the model’s convergence speed and positioning capabilities. …”
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Metabolic alterations driven by LDHA in CD8 + T cells promote immune evasion and therapy resistance in NSCLC by Hao Wen, Panpan Zhang, Juan Zhao, Yakui Liu, Lei Wan, Haoran Li, Jun Yi, Xinqiang Li

“…This not only facilitates tumor cell migration and invasion but also impairs the cytotoxic function of CD8 + T cells. Furthermore, our machine learning models identified four key genes significantly associated with NSCLC metastasis: TBCD, PTPRC, LDHA, and ACTR2. …”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

“…The proposed systemic analyses explored age- and post-based differences in autonomic function suggesting that individual alterations from the mean values in different subgroups might indicate changes in performance.…”
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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…Adam showed the best results in terms of accuracy, while the MSE loss function (mean square error) was used together with the optimizer. …”
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Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation by E. R. Echevarria, S. Contardo, B. Pérez‐Díaz, R. K. Hoeke, B. Leighton, C. Trenham, L. Cagigal, F. J. Méndez

“…Three machine learning approaches of increasing complexity are compared: a multi‐variate linear regression (LR), a Radial Basis Functions (RBF) interpolator and a Deep Neural Network (DNN). …”
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