Integrated morphophysiological, transcriptomic, and metabolomic data uncover the molecular mechanism of environmental adaptation of Zanthoxylum armatum with different latitudinal g... by Yuan Guo, Xueqian Fu, Chong Sun, Chong Sun, Yifei Deng, Han Liu, Long Tong, Mi Kuang, Ning Tang, Wenying Yang, Xia Liu, Zexiong Chen

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Small Bowel Review: Part I by ABR Thomson, JA Thomson, MJ Ropeleski, GE Wild

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Control of seed weight by a DNA demethylase in soybean by Mengzhu Zhang, Wu Jiao, Xinyu Jiang, Jinhui Wang, Longfei Wang, Wenxue Ye, Yue Wang, Qingshan Chen, Dawei Xin, Qingxin Song

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Adaptive Real-Time Transmission in Large-Scale Satellite Networks Through Software-Defined-Networking-Based Domain Clustering and Random Linear Network Coding by Shangpeng Wang, Chenyuan Zhang, Yuchen Wu, Limin Liu, Jun Long

“…To address these issues, this paper proposes a collaborative optimization framework based on Coding Multi-Path Theory (CMPT). …”
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Learning-augmented sketching offers improved performance for privacy preserving and secure GWAS by Junyan Xu, Kaiyuan Zhu, Jieling Cai, Can Kockan, Natnatee Dokmai, Hyunghoon Cho, David P. Woodruff, S. Cenk Sahinalp

“…This advancement improves the scalability and effectiveness of collaborative GWAS studies in TEEs.…”
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Recovery environments in places of daily living: a scoping review and conceptual analysis by Yumi Mizuochi, Yukako Shigematsu, Yoshitomo Fukuura

“…Methods The literature search and selection of articles were based on a scoping review conducted in Scopus and PubMed, while data extraction and analysis were based on conceptual analysis. …”
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Mental health services in response to the COVID-19 pandemic in high-income countries: protocol for a rapid review by Yu Fu, Dawn Craig, Ge Yu

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Preferences of Hospital Pharmacists for the Different Attributes of Intravitreal Treatments for Neovascular Age-Related Macular Degeneration and Diabetic Macular Edema in Spain: Th... by José Luis Poveda, Pablo Arnáiz, Silvia López, Belén Muñoz, Anxo Fernández-Ferreiro

“…The process of evaluation and selection of drugs in Spain is currently changing, with hospital pharmacists (HPs) having a growing relevance. …”
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Evolutionary Mechanism of Trust for Public–Private Partnership Projects with Public Participation by Wenjuan Zhang, Yuanming Wang, Enzhong Li, Chengyi Zhang, Huimin Li, Srishti Hada

“…When trust levels are equal, the selection of behavioral strategies is influenced by the initial willingness of participants. …”
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Reducing incidents of violence and aggression and self-harm on a secure mental health inpatient ward for women with learning disabilities by Megan Georgiou, Margaret Paradza, Farayi Zichawo

“…The success of this initiative can be attributed to the collaborative efforts of multidisciplinary teams, strong leadership and proactive staff.…”
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Research progress on thermochemical conversion technology of sewage sludge by ZOU Zhengkang, GUO Xiao, LIANG Sha*, XU Xiaoxiao, DUAN Huabo, YANG Jiakuan

“…Additionally, the paper summarizes the research and application progress of collaborative disposal of sludge with other organic solid wastes. …”
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Involving adolescents in evidence syntheses: an umbrella review by Azza Warraitch, Matylda Sulowska, Ciara Wacker, Maria Lee, Delali Bruce, Joshua Hernon, Qusai Khraisha, Kristin Hadfield

“…While adolescent participation was often consultative, there were examples of more collaborative involvement using a wide range of methods, even at technical stages like study selection and data analysis. …”
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A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks by Minghao Chen, Shuai Wang, Jiazhong Zhang

“…This problem focuses on selecting seed sets to achieve optimal information propagation across networks. …”
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Design and Evaluation of a Leader–Follower Isomorphic Vascular Interventional Surgical Robot by Pengfei Chen, Yutang Wang, Dapeng Tian

“…It can further achieve collaborative operation. This control system adopts a four-channel scheme based on acceleration and can achieve approximately ideal transparency. …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…Based on the counting rates of the detector’s energy windows, the Pearson correlation coefficient method is applied for feature selection. Bayesian optimization combined with K-fold cross validation is used to fine-tune the key model hyperparameters. …”
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A unified and scalable machine learning framework for feature fusion in object classification using weighted PCA with adaptive concatenation and dynamic scaling by Amitav Mahapatra, Prashanta Kumar Patra

“…WPCA-ACDS integrates three key components: Weighted Principal Component Analysis (Weighted PCA) for efficient dimensionality reduction, Adaptive Concatenation for optimal feature selection based on data-driven strategies, and Dynamic Scaling to balance feature contributions and mitigate the impact of outliers or irrelevant features. …”
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Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023) by Jian-cheng Lou, Xiao-fen Yu, Jian-jun Ying, Da-qiao Song, Wen-hua Xiong

“…The most notable research hotspots currently are the optimal selection of neural imaging markers and the most suitable machine learning algorithm models.…”
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Edge-driven resource allocation in vehicular networks: A joint framework of multi-agent reinforcement learning and demand-supply predictive modeling by Dhinesh Kumar R, Rammohan A

“…To tackle these issues, a collaborative edge-enabled demand-and-supply resource allocation strategy is proposed, integrated with a novel Multi-Agent Deep Reinforcement Learning (MADRL) framework with the joint modeling of Proximal Policy Optimization (PPO) for sub-band selection and Deep Deterministic Policy Gradient (DDPG) for transmission power allocation in vehicular communication systems. …”
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Adaptive Congestion Detection and Traffic Control in Software-Defined Networks via Data-Driven Multi-Agent Reinforcement Learning by Kaoutar Boussaoud, Abdeslam En-Nouaary, Meryeme Ayache

“…The framework integrates two collaborative agents: a Congestion Classification Agent that identifies congestion levels using metrics such as delay and packet loss, and a Decision-Making Agent based on Deep Q-Learning (DQN or its variants), which selects the optimal actions for routing and bandwidth management. …”
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Development of a Low-Cost Internet of Things Platform for Three-Phase Energy Monitoring in a University Campus by Abdessamad Rhesri, Fatima Aabadi, Rachid Bennani, Yann Ben Maissa, Ahmed Tamtaoui, Hamza Dahmouni

“…The proposed platform is considered the cornerstone toward the implementation of a collaborative smart microgrid, allowing forecasting and electrical consumption optimization, enabling research into potential opportunities for energy efficiency in our campus, and enhancing the performance of existing electrical infrastructure.…”
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