Association between intraoperative fluid management and postoperative outcomes in living kidney donors: a retrospective cohort study by Ja Eun Lee, Chisong Chung, Sunghae Park, Kyo Won Lee, Gaab Soo Kim

“…Abstract Optimal fluid strategy for laparoscopic donor nephrectomy (LDN) remains unclear. …”
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A non-invasive method for screening mitochondrial diabetes by Hangyu Fang, Hangyu Fang, Xiaoe Li, Shuping Wang, Mei Zhang, Victor Wei Zhang, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu

“…BackgroundMitochondrial diabetes mellitus (MDM) is a special type of diabetes resulting from functional defects in mitochondria. Its incidence rate is low, and it can often be misdiagnosed as either type 1 or type 2 diabetes in clinical settings. …”
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Deep Clustering of Student Code Strategies Using Multi-View Code Representation (CMVAE) by Zhengting Tang, Shizhou Wang, Liangyu Chen

“…The model captures structural features by transforming code into tree graphs and extracting centrality measures, while CodeBERT provides semantic embeddings. Through a joint optimization of reconstruction loss and clustering loss, the model effectively integrates multiple code representations. …”
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Impact of CYP3A5 1* and 3* single nucleotide variants on tacrolimus pharmacokinetics and graft rejection risk in pediatric kidney transplant patients by Lesly Yanira Xajil-Ramos, Lesly Yanira Xajil-Ramos, Lesly Yanira Xajil-Ramos, Lesly Yanira Xajil-Ramos, Jesús Alonso Gándara-Mireles, Jesús Alonso Gándara-Mireles, Rodrigo José Vargas Rosales, Rodrigo José Vargas Rosales, Rodrigo José Vargas Rosales, Oscar Kevin Sánchez García, Andrea Mariela Ruano Toledo, Amy Kateleen Aldana de la Cruz, Ismael Lares-Asseff, Ismael Lares-Asseff, Leslie Patrón-Romero, Horacio Almanza-Reyes, Randall Lou-Meda

“…These SNVs can generate a cryptic splice site, resulting in either preserved enzymatic function classified as expressers (CYP3A5 *1/*1 and *1/*3) or loss of function, classified as non-expressers (CYP3A5 *3/*3). …”
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Bacillus megaterium NCT-2 agent alters soil nutrients, vegetable quality, and root microecology in secondary salinized soil by Yimin You, Yimin You, Shitong Li, Liran Wang, Xiyang Zhao, Dan Zhang, Dan Zhang, Dan Zhang, Dan Zhang, Shaohua Chu, Shaohua Chu, Shaohua Chu, Shaohua Chu, Xijia Yang, Xijia Yang, Xijia Yang, Xijia Yang, Pei Zhou, Pei Zhou, Pei Zhou, Pei Zhou

“…By decoupling the interplay between microbial community restructuring and systemic remediation outcomes, this work establishes a novel framework for leveraging keystone taxa to optimize salinized agroecosystems.…”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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“Popping the Ion‐Basket”: Enhancing Thermoelectric Performance of Conjugated Polymers by Blending with Latently Dissociable Perovskite Quantum Dots by Hansol Lee, Hoimin Kim, Haedam Jin, Seungju Kang, Tae Woong Yoon, Dongki Lee, Guobing Zhang, Min Kim, Boseok Kang

“…Abstract A novel additive method to boost the Seebeck coefficient of doped conjugated polymers without a significant loss in electrical conductivity is demonstrated. …”
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SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…Additionally, the innovative Inner-WIoU regression loss function improves the localization accuracy of detection boxes while also alleviates the imbalance between hard and easy samples. …”
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Clinical implication of sarcopenia in patients with acute decompensated heart failure: Design and rationale by Bingqing Bai, Dujuan Li, Mingyu Xu, Yingxue Liao, Haofeng Zhou, Fengyao Liu, Wen Li, Huan Ma

“…Abstract Background Sarcopenia is widely recognized as an age‐related syndrome that involves a progressive loss of skeletal muscle mass and muscle strength. …”
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HMS-Net: A Hierarchical Multilabel Fine-Grained Ship Detection Network in Remote Sensing Images by Yunchao Yang, Zhengning Zhang, Pengming Feng, Yiming Yan, Guangjun He, Shaobo Liu, Pengyong Zhang, Haorao Gao

“…Furthermore, we design a hierarchical relationship constraint loss function to explicitly model interclass relationships among ships, optimizing feature distance measurements between different classes. …”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

“…Then, we innovatively designed a new joint loss function and PIP constraints to guide the iterative optimization of model parameters. …”
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Enhancing Negative Film Colorization through Systematic CycleGAN Architectural Modifications: A Comprehensive Analysis of Generator and Discriminator Performance by Khaulyca Arva Artemysia Khaulyca, Arief Suryadi Satyawan Arief, Mokhammad Mirza Etnisa Haqiqi Mirza, Helfy Susilawati Helfy, Beni Wijaya Beni, Sani Moch Sopian Sani, Muhammad Ikbal Shamie Ikbal, Firman Firman

“…The most optimal modification (Modification 4) demonstrated significant loss reduction (G: 2.39–4.07, F: 2.82– 3.66; D_X: 0.36–0.93, D_Y: 0.15–1.39), yielding more accurate and aesthetically pleasing color images compared to the baseline architecture. …”
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Antioxidant therapy for infertile couples: a comprehensive review of the current status and consideration of future prospects by Ramadan Saleh, Ramadan Saleh, Hassan Sallam, Hassan Sallam, Mohamad AlaaEldein Elsuity, Mohamad AlaaEldein Elsuity, Sulagna Dutta, Sulagna Dutta, Pallav Sengupta, Ahmed Nasr

“…In men, OS adversely affects sperm function by inducing DNA damage, reducing motility, significantly impairing sperm vitality through plasma membrane peroxidation and loss of membrane integrity, and ultimately compromising overall sperm quality. …”
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YOLOv8n-WSE-Pest: A Lightweight Deep Learning Model Based on YOLOv8n for Pest Identification in Tea Gardens by Hongxu Li, Wenxia Yuan, Yuxin Xia, Zejun Wang, Junjie He, Qiaomei Wang, Shihao Zhang, Limei Li, Fang Yang, Baijuan Wang

“…Taking into account the pest image data collected from organic tea gardens in Yunnan, this study utilizes the YOLOv8n network as a foundation and optimizes the original loss function using WIoU-v3 to achieve dynamic gradient allocation and improve the prediction accuracy. …”
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DC-Mamba: A Novel Network for Enhanced Remote Sensing Change Detection in Difficult Cases by Junyi Zhang, Renwen Chen, Fei Liu, Hao Liu, Boyu Zheng, Chenyu Hu

“…Specifically, we introduce the edge-feature enhancement (EFE) block and the dual-flow state-space (DFSS) block, which enhance the details of change edges and local features while maintaining the model’s global feature extraction capability. We propose a dynamic loss function to address the issue of sample imbalance, giving more attention to difficult samples during training. …”
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The impact of early vs. delayed surgery on outcomes in cervical spinal cord injury without fracture or dislocation by Sirui Xiao, Hui Yan, Beixi Bao, Yuxuan Wu, Xiaokang Cheng, Chunyang Xu, Jiaguang Tang

“…When determining the optimal timing for surgery, clinicians should consider individual comorbidities and the severity of spinal cord injury. …”
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Variational autoencoder-based multipath clustering algorithm for terahertz channels by HAO Xinyu, LIAO Xi, ZHENG Xiangquan, WANG Yang, LIN Feng, CHEN Qianbin, ZHANG Jie

“…Secondly, K-Means clustering was embedded into the VAE framework, with joint optimization of reconstruction loss, KL divergence, and clustering loss functions to resolve the challenges of feature separation in unsupervised learning. …”
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Ferulic Acid Combines with Ascorbic Acid to Target MMP9 to Attenuate Cisplatin-Induced Ototoxicity Through the p38MAPK Signaling Pathway by Guojun Yang, Na Hu, Jie Gao, Xinzhi Li, Bin Zhang, Ketao Ma

“…Another small-molecule ascorbic acid (AA) shows robust antioxidant function. However, the optimal route of administration, dosage, concentration, and effective time must be determined. …”
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Pilot Study of Using Machine Learning to Detect Atherosclerotic Renal Artery Stenosis From Spectral Doppler Waveforms by Haseeb Mukhtar, Seyed Moein Rassoulinejad-Mousavi, Shahriar Faghani, Bradley J. Erickson, Sanjay Misra

“…A 1-dimensional convolutional neural network (CNN) was trained to classify the signals and detect ARAS. An Adam optimizer with a learning rate of 0.001 and a cross-entropy loss function were utilized. …”
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Machine learning for defect condition rating of wall wooden columns in ancient buildings by Yufeng Li, Wu Ouyang, Zhenbo Xin, Houjiang Zhang, Shuqi Sun, Dian Zhang, Wenbo Zhang

“…The RBF neural network model achieved the highest accuracy (94.57 %) on the feature fusion dataset, while Grey Wolf Optimizer (GWO) optimization further improved accuracy to 96.74 %. …”
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