Protein flexibility drives sugar rotation and high substrate promiscuity in a GDP-sugar 4-epimerase by Carlos Josué Alvarez Quispe, Koen Beerens, Andy-Mark W.H. Thunnissen, Xevi Biarnés, Antoni Planas, Tom Desmet

“…In this study, we used a multidisciplinary approach to examine the dynamic-function relationships in the Pyrococcus horikoshii representative (PhGal4E_1). …”
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Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysis by Dongxu Qin, Yongquan Zheng, Libo Wang, Zhenyi Lin, Yao Yao, Weidong Fei, Caihong Zheng

“…Additionally, gene set enrichment analysis (GSEA) and competing endogenous RNA (ceRNA) network analysis were employed to further elucidate the biological functions and regulatory mechanisms of these genes. …”
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Genome-wide identification of long non-coding RNAs reveals potential association with Phytophthora infestans asexual and sexual development by Weilin Cao, Xiangming Pan, Ru Yu, Yuting Sheng, Hongxia Zhang

“…Weighted gene co-expression network analysis of differentially expressed lncRNAs (DElncRs) and differentially expressed mRNAs (DEmRs) of asexual development stages indicated that lncRNAs might participate in different asexual stages and transformation of the growth stages via regulating functional genes. …”
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Proteomic and metabolomic analysis of platelet related samples reveals energy metabolism disorders in hepatocellular carcinoma by Xuelian Ruan, Zuojian Hu, Fenglin Shen, Yongling Chen, Ziqing Zhong, Guiyong Ou, Xing Luo, Xue Qin, Huabing Wang

“…Results Proteomics analysis revealed dysregulation of platelets function and energy metabolism in HCC patients compared with healthy controls. …”
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Few-Shot Object Detection via Sample Processing by Honghui Xu, Xinqing Wang, Faming Shao, Baoguo Duan, Peng Zhang

“…For the fine-tuning phase, we modify the classification loss function to increase the punishment for hard samples. …”
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Non-Linear Modeling of Immune System Activation and Lymph Flow Dynamics by Ştefan Cǎtǎlin Petrescu, Ruxandra Ioana Cipu, Andra Cristiana Maria-Fulaşu, Elena Corina Cipu

“…The immune system is a vital defense network within the body, where lymph and lymph nodes play pivotal roles. …”
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Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss by Zhesen Cui, Tian Li, Zhe Ding, Xi'an Li, Jinran Wu

“…These subseries are then modeled using a deep neural network architecture called a gated recurrent unit (GRU). …”
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The Relationship Between Digital Transformation and Organisational Efficiency in China: The Mediating Role of Information Disclosure by Fengyuan Li

“…The analysis was performed using a combination of PLS-SEM and artificial neural network (ANN) approaches. An ANN investigation was conducted to enhance the findings of PLS-SEM and improve predictive accuracy. …”
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Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks by Hamed Mehranfar, Bryan T. Adey, Saviz Moghtadernejad, Claudia Fecarotti

“…It also estimates the risks associated with different types of potential service losses that may occur due to sudden events using fault trees as a function of time and the condition of components. An implementation of the methodology is conducted for a 25 km regional railway network in Switzerland. …”
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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…A comparative evaluation of four machine learning algorithms is conducted for a three-class classification task:—Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and a deep neural network (DNN) comprising five hidden layers. …”
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WISP: Workframe for Interferogram Signal Phase-Unwrapping by Timofey F. Khirianov, Aleksandra I. Khirianova, Egor V. Parkevich, Ilya Makarov

“…A key contribution is the proposed loss function for isophase fitting, which directly optimizes curve quality and enhances reconstruction accuracy. …”
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Enhancing small target traffic sign detection with ML_SAP in YOLOv5s by Zhenguo Lu, Zhibo Zhu, Weipeng Xu, Guixian Li, Jinyang Chen

“…This improvement is accompanied by the adoption of a WIoU loss function, which evaluate the quality of anchor boxes. …”
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Optimal Identification for Dynamic PV Cell Parameter Based on a Data-Extension-Driven Method by Yun Long, Youfei Lu, Li Wang, Tao Bao, Chen Chen

“…Firstly, the PV external characteristic data is fitted and generalized, which used the generalized regression neural network (GRNN). Then, the extended high-quality data can be used for dynamic parameter identification for PV cell. …”
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Innovative multi-class segmentation for brain tumor MRI using noise diffusion probability models and enhancing tumor boundary recognition by Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie

“…Training is guided by a combined loss function, emphasizing Weighted Cross-Entropy and Weighted Dice Loss. …”
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Simulation and Optimization of Automated Guided Vehicle Charging Strategy for U-Shaped Automated Container Terminal Based on Improved Proximal Policy Optimization by Yongsheng Yang, Jianyi Liang, Junkai Feng

“…Lastly, iterative training of the proposed method is conducted based on the simulation model. The experimental results indicate that the proposed method converges faster than standard PPO and Deep Q-network (DQN). …”
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Investigating correlates of athletic identity and sport-related injury outcomes: a scoping review by Brian Petersen, Tian Renton, Sidney Kennedy

“…Athletic identity was significantly and positively associated with depressive symptom severity, sport performance traits (eg, ego-orientation and mastery-orientation), social network size, physical self-worth, motivation, rehabilitation overadherence, mental toughness and playing through pain, as well as injury severity and functional recovery outcomes. …”
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Research on Beef Marbling Grading Algorithm Based on Improved YOLOv8x by Jun Liu, Lian Wang, Huafu Xu, Jie Pi, Daoying Wang

“…The model integrates a convolutional neural network (CNN) augmented with an improved attention mechanism and loss function, along with a Region-of-Interest (ROI) preprocessing algorithm to automate the marbling grading process. …”
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Trust-aware privacy-preserving QoS prediction with graph neural collaborative filtering for internet of things services by Weiwei Wang, Wenping Ma, Kun Yan

“…In addition, we use a similarity calculation method based on weight function in collaborative filtering to mine implicit embedded features that graph neural networks cannot directly utilize. …”
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Clinical outcomes of kidney transplantation from expanded-criteria donors and KDPI>85% kidneys in deceased Chinese donors by Kankan Shui, Hedong Zhang, Tengfang Li, Jianfei Hou, Gongbin Lan, Fenghua Peng, Shaojie Yu, Xubiao Xie, Helong Dai, Longkai Peng

“…T tests, chi-square tests, and Mann-Whitney U tests were used to compare complications and renal function following kidney transplantation. Additionally, the log-rank test was used to assess differences in survival rates, whereas Cox regression analysis was conducted to identify risk factors associated with graft loss. …”
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Autophagy hub-protein p62 orchestrates oxidative, endoplasmic reticulum stress, and inflammatory responses post-ischemia, exacerbating stroke outcome by Xingyun Quan, Yukun Yang, Xiaolong Liu, Britta Kaltwasser, Matthias Pillath-Eilers, Bernd Walkenfort, Sylvia Voortmann, Ayan Mohamud Yusuf, Nina Hagemann, Chen Wang, Mike Hasenberg, Dirk M. Hermann, Ulf Brockmeier

“…To define the role of the autophagy hub protein p62/SQSTM1 in I/R injury, we conducted gain-of-function and loss-of-function experiments in a set of cell types, including two neuron-like cell lines, primary neurons, brain endothelial and astroglial-like cells, which we combined with mouse ischemic stroke studies. p62 levels post-I/R increased alongside intracellular ROS changes. p62 overexpression increased and p62 knockdown or pharmacological deactivation reduced I/R injury. …”
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