Small intestinal γδ T17 cells promote SAE through STING/C1q-induced microglial synaptic pruning in male mice by Yuming Wu, Yujing Zhang, Yuan Yu, Xin Wang, Zifan Zhen, Yin Yuan, Bing Xie, Mengqi Han, Mengyuan Wang, Xinyu Zhang, Xueqiang Sun, Xiaoyue Wen, Kenji Hashimoto, You Shang, Shiying Yuan, Jiancheng Zhang

“…Abstract Sepsis is a severe global health issue with high mortality rates, and sepsis-associated encephalopathy (SAE) further exacerbates this risk. …”
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Dynamic Rescheduling Strategy for Passenger Congestion Balancing in Airport Passenger Terminals by Yohan Lee, Seung Chan Choi, Keyju Lee, Sung Won Cho

“…In conclusion, the proposed model has the potential to enhance the efficiency of the security screening stage in the passenger departure process.…”
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The Role of Hydrolyzed Collagen in Combating Skin Aging: A Literature Review by Ewelina Kopczyńska, Piotr Kulej, Matylda Korgiel, Michał Ciołkosz, Wiktor Biesiada, Agnieszka Skoczeń, Michał Kulesza, Mateusz Kopczyński, Justyna Woźniak

“… Introduction  Skin aging has become an increasingly common issue. As time passes, the skin undergoes degenerative changes, including the loss of elasticity and reduction in collagen content. …”
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Workforce development in the trucking industry: A comprehensive analysis of truck driver training entities by Sicheng Wang, Elizabeth A. Mack, Nidhi Kalani, Chu-Hsiang Chang, Shelia R. Cotten

“…These entities are critical in creating a pipeline of drivers to address the driver shortage issue and respond to the changing requirements of drivers. …”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…This algorithm not only streamlines the signature process across chains but also strengthens system security and optimizes storage efficiency, addressing a key challenge in multi-chain systems. …”
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Monitoring contamination of hazardous drug compounding surfaces at hospital pharmacy departments. A consensus Statement. Practice guidelines of the Spanish Society of Hospital Phar... by Silvia Valero-García, Eva González-Haba, Maria Queralt Gorgas-Torner, José María Alonso-Herreros, Ana Cristina Cercós Lletí, José Luis Poveda-Andrés, Miguel Ángel Calleja-Hernandez, Olga Delgado-Sánchez

“…The evaluation should include an analysis of the efficacy of engineering controls, work practices and cleaning and decontamination processes.</p><p> </p>…”
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Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning by Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

“…As global waste production grows, sustainable waste management (WM) has become an issue for modern societies. This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automation, classification accuracy, operational efficiency, and real-time decision-making. …”
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"Reproachable Self-Forgetfulness" in the Viewpoint of Ayatollah Javadi Amoli (Rereading and Analysis of the Foundations, Contexts, and Solutions) by mohammad karami, Hamedeh Rastaei, Behrouz Asadi

“…The central issue in this study is to analyze the foundations, grounds, and solutions of reprehensible self-forgetfulness in the perspective of Ayatollah Javadi Amoli. …”
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Improving the performance of HDPE plastic membranes for heavy metal removal by incorporating EVA/PDMS by Utari Zulfiani, Agus Wedi Pratama, Romario Abdullah, Dinia Astira, Taufik Qodar Romadiansyah, Alvin Rahmad Widyanto, Saiful, Juhana Jafaar, Triyanda Gunawan, Nurul Widiastuti

“…Plastic waste poses a significant environmental threat. To address this issue and mitigate water pollution caused by heavy metals, this study repurposed HDPE plastic waste into functional membranes. …”
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Exploring drivers and prevention strategies for sexual violence among adolescent girls and young women in Kicukiro, Rwanda by Wongani Patricia Kawonga, Sam M. Livingstone, Augustine Ndaimani, Jean Pierre Sibomana, Tsion Yohannes Waka, Maxwell Mhlanga, Andrew Mclellan

“…IntroductionSexual violence against adolescent girls and young women (AGYW) is a pervasive issue globally, with particularly high prevalence in sub-Saharan Africa. …”
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Dynamic shimming in the cervical spinal cord for multi-echo gradient-echo imaging at 3 T by E. Alonso-Ortiz, D. Papp, A. D'Astous, J. Cohen-Adad

“…In order to address this issue, linear compensation gradients can be employed. …”
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Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information by I. Sanz-Gorrachategui, Y. Wang, A. Guillen-Asensio, A. Bono-Nuez, B. Martin-del-Brio, P. V. Orlik, P. Pastor-Flores

“…These features are automatically processed by deep learning algorithms, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. …”
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Investigation of Geological Diversity Based on the Degree of Sensitivity and the Amount of Equilibrium and Resilience of the Geosystem (Case study: The Eastern Kopet-Dagh Zone) by Sima Tavsoli, Adel Sepehr, Abbas Ghaderi

“…In other words, morphogenic processes in low resilience geosystems cause landform changes. …”
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Near-Surface Air Temperature Estimation Based on an Improved Conditional Generative Adversarial Network by Jiaqi Zheng, Xi Wu, Xiaojie Li, Jing Peng

“…To address the issue of missing near-surface air temperature data caused by the uneven distribution of ground meteorological observation stations, we propose a method for near-surface air temperature estimation based on an improved conditional generative adversarial network (CGAN) framework. …”
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Mechanism of virulence polymorphism in CR-hvKP strains from the same source by Jianhua Fang, Hongyi Lai, Miao Deng, Yanfang Mei, Dehua Chen, Tieying Hou, Tianxin Xiang

“…ABSTRACT Carbapenem-resistant Klebsiella pneumoniae (CRKP) has become a major public health issue worldwide due to its high case fatality rate and transmissible nature. …”
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Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling by Yiteng Zhang, Jianfeng Feng, Bin Min

“…However, the neural mechanisms underlying this context-dependent selection process remain elusive. Recently, the issue of discriminating between two prevalent selection mechanisms—input modulation versus selection vector modulation—with neural activity data has been highlighted as one of the major challenges in the study of individual variability underlying context-dependent decision-making (CDM). …”
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Contemporary Views on Development of Excess Body Weight and Obesity in Children. Part I by M. V. Khodzhiyeva, V. A. Skvortsova, T. E. Borovik, L. S. Namazova-Baranova, T. V. Margieva, O. K. Netrebenko, T. V. Bushuyeva, N. G. Zvonkova, S. V. Nekrasova

“…The most active growth and maximum plasticity of metabolic processes is observed within 1,000 post-conceptual days, which cover the period of intrauterine development and the first 2 years of a child’s life. …”
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GSD-SSR: an integrated framework for power analysis in IRB proposals using group sequential design and sample size re-estimation by Yuxi Zhu, Yuxi Zhu, Shi Du, Peihe Xia, Peihe Xia

“…Group Sequential Design with Sample Size Re-estimation (GSD-SSR) effectively addresses this issue by utilizing interim data at predefined stages to refine these estimates. …”
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From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery by Jeffrey Choate, Derek Worth, Scott L. Nykl, Clark Taylor, Brett Borghetti, Christine Schubert Kabban, Ryan Raettig

“…The pose and reprojections allow filtering of bad predictions, a common issue in pseudo‐labeling. Thereby, enabling automated labeling of large datasets with minimal human intervention. …”
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A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species by Yuheng Cao, Ning Wang, Bin Wu, Xin Zhang, Yaxiong Wang, Shuting Xu, Man Zhang, Yanlong Miao, Feng Kang

“…However, the precise segmentation of trunks and branches remains a significant challenge, limiting the accurate measurement of phenotypic parameters and high-precision pruning of branches. To address this issue, a novel adaptive cuboid regional growth segmentation algorithm is proposed in this study. …”
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