Intratumoral Brevibacillus parabrevis enhances antitumor immunity by inhibiting NK cell ferroptosis in hepatocellular carcinoma by Banglun Pan, Xiaoxia Zhang, Dongjie Ye, Yuxin Yao, Zhu Zhang, Yue Luo, Hao Wu, Xiaoqian Wang, Nanhong Tang

“…NEDD4L induced ubiquitination of iron transporters SLC39A14, SLC39A8, and STEAP3. Functionally, B. parabrevis induced NK cells to differentiate into adaptability, cytotoxicity, and heat shock phenotypes, inhibiting the terminal phenotype and changing the tumor microenvironment from “cold” to “hot”. …”
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If not us, then who? Ethnographic insights into nurses’ role in redesigning a rural health service to meet changing demands by Helle Krone-Hjertstrøm, Bente Norbye, Birgit Abelsen, Aud Uhlen Obstfelder

“…Second, ‘Learning without doing’ shows how the nurses utilized their competence, past experiences, and understanding of local conditions to adapt standardised guidelines, develop new work processes, and establish a framework that compensates for the lack of practical experience, enabling the clinic to function effecively under potential challanging circumstances. …”
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Characterization of the C2H2 Zinc Finger Protein Family in <i>Setosphaeria turcica</i> by Hui Jia, Qihui Zhou, Pan Li, Minye Li, Xueran Li, Zhihang Liu, Xiaodong Gong, Jingao Dong, Shouqin Gu, Yuwei Liu

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Optimizing a Hybrid Controller for Automotive Active Suspension System by Using Genetic Algorithms With Two High Level Parameters by Vu Van Tan, Do Trong Tu, Nguyen Van Vinh, Pham Tat Thang, Andras Mihaly, Peter Gaspar

“…Through the amplitude transfer function, the transition in enhancing ride comfort and road holding criteria in the HASS is demonstrated. …”
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The third dimension of alpine plant leaf traits is related to cold-tolerance by Yuan Wang, Ji Suonan, Kun Liu, Yanni Gao, Sihao Zhu, Qian Liu, Ning Zhao

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Class and Data-Incremental Learning Framework for Baggage Threat Segmentation via Knowledge Distillation by Ammara Nasim, Saad Mazhar Khan, Anum Abdul Salam, Arslan Shaukat, Taimur Hassan, Adeel M. Syed, Muhammad Usman Akram

“…To address these limitations, we propose an incremental learning framework that enables the model to progressively learn new threat categories while retaining previously acquired knowledge. Our approach utilizes SegFormer as the backbone and introduces a custom loss function, combining mutual distillation loss, KL divergence, and cross-entropy loss, to enhance knowledge retention and adaptability. …”
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Increased adenosine monophosphate–activated protein kinase activity in mice with physical exercise intervention: a systematic review by Suryanto Agung Prabowo, Junian Cahyanto Wibawa, Hamdani Hamdani, Nanang Indriarsa, Muchamad Arif Al Ardha, Taufiq Hidayat, Irmantara Subagio, Iwan Barata, Joseph Lobo, Novadri Ayubi

“…A total of 103 published papers were found by utilizing the Web of Science, Pubmed, and Science Direct databases. …”
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Blood Glucose in Birds: Another Way to Think About “Normal” Glycemia and Diabetes Mellitus in Animals by Alda Quattrone, Ivan Picozzi, Emanuele Lubian, Nour Elhouda Fehri, Laura Menchetti, Olimpia Barbato, Daniele Vigo, Stella Agradi, Majlind Sulçe, Massimo Faustini, Enkeleda Ozuni, Xhiliola Bixheku, Gabriele Brecchia, Giulio Curone

“…This review explores the unique features of glucose metabolism in birds, with a particular focus on the anatomy and function of the avian pancreas, the roles of key hormones such as insulin and glucagon, as well as the distinctive mechanisms of glucose absorption and utilization. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). This algorithm utilizes the CMA-ES algorithm for feature search while also taking into account the mutual information and collinearity among features, thereby more effectively reducing redundancy features. …”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…In recent years, convolutional neural networks (CNNs) have been extensively utilized for synthetic aperture radar (SAR) ship detection tasks. …”
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Using Small-Sided Games or Their Combination with Speed Endurance Training: Which Is More Effective for Improving Aerobic Capacity in Young Amateur League Soccer Players? by Feni Norrahmah, Shery Iris Zalillah, I Dewa Made Aryananda Wijaya Kusuma, Imam Syafii, Arif Bulqini, Muhammad Kharis Fajar, Muhammad Bagus Firzam Bharlaman

“…The SSG+SET group demonstrated a larger increase in total distance coverage and higher VO2max values, reflecting physiological adaptations such as improved oxygen utilization efficiency and cardiovascular function. …”
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513 A CTS team approach to investigate skeletal muscle diseases and countermeasures in a donor-derived bioengineered muscle platform by Karly Caples, Vinicius Mariani, Elisabeth Barton, Siobhan Malany

“…Objectives/Goals: Our team has developed a 24-well donor-derived skeletal muscle microphysiological system (MPS) to study signaling pathways associated with a variety of muscle diseases. 3D muscle will be utilized to evaluate pharmacologic interventions for these muscle conditions to improve both muscle mass and function. …”
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Probabilistic linkages of propagation from meteorological to agricultural drought in the North African semi-arid region by Younes Dahhane, Victor Ongoma, Abdessamad Hadri, Mohamed Hakim Kharrou, Oualid Hakam, Abdelghani Chehbouni

“…Understanding the probability of drought occurrence in agricultural areas is important for designing effective adaptation strategies to drought impacts on agriculture and food security. …”
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Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review by Zia‐Ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, Muhammad Faheem

“…ABSTRACT Purpose Alzheimer's disease (AD) is a severe neurological disease that significantly impairs brain function. Timely identification of AD is essential for appropriate treatment and care. …”
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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…Additionally, we employ an improved residual network structure combined with a refined Charbonnier loss function to alleviate gradient vanishing and exploding to enhance the robustness of model training. …”
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Rapid Prediction of Multi-physics Coupling in Heat Pipe ReactorBased on Neural Network by ZHANG Junda, LIU Xiaojing, XIONG Jinbiao, CHAI Xiang, ZHANG Tengfei

“…Concurrently, the neural network models utilized in rapid predictions have less stringent computational resource requirements and offer greater adaptability to varied environments. …”

A Trade‐Off Between Leaf Carbon Economics and Plant Size Among Mangrove Species in Dongzhaigang, China by Dalong Jiang, Tao Nie, Qiuyu He, Jing Yan, Erhui Feng, Qing Ye

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Environmental Assessment of a Constructed Wetland with Ornamental Vegetation for Wastewater Treatment: A Sustainable Option for Neighborhoods (The Case of Veracruz, Mexico) by Sergio Aurelio Zamora-Castro, Humberto Raymundo González-Moreno, María Graciela Hernández-Orduña, Irma Zitácuaro-Contreras, José Luis Marín-Muñiz

“…Utilizing CWs with ornamental plants for water treatment in neighborhoods could improve the adoption of this ecotechnology. …”
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Stoichiometric homeostasis of Morus alba in the dry-hot valley by Haixia Guo, Sheng Luo, Siyuan Chen, Yike Li, Jianhua Zhang, Jianhua Zhang, Guantao Chen, Guantao Chen, Xie Wang, Xie Wang

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Hydrolyzable Bio‐Based Bisphenols Enabled by the Tishchenko Reaction for Polyurethane Vitrimers with Closed‐Loop Recyclability by Jiewen Wang, Hongru Qiang, Rong Huang, Dan Zhao, Zihan Tong, Zhen Fan, Jianzhong Du, Yunqing Zhu

“…In this study, a fully bio‐based polyurethane vitrimer system is developed enabled by a dual‐function SmI2‐mediated strategy that integrates Tishchenko coupling and phenol deprotection in a single step, simplifying the synthesis of bio‐based bisphenols with 100% atom utilization. …”
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