A Survey of Smart Campus Resource Information Management in Internet of Things by Li Shihao, Dahlila Putri Dahnil, Saidah Saad

“…This paper introduces SCRIM, detailing its models and technologies, and emphasizes the importance of occupancy detection and the integration of knowledge graphs to facilitate more efficient data analysis. It provides a detailed comparison, analysis, and discussion of various SCRIM frameworks, highlighting their current challenges and issues. …”
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The Role of High-Tech Jobs in Regional Development by A. A. Ugryumova, M. V. Savelyeva

“…The main criteria for the allocation of high-tech jobs include the use of advanced technologies; high production efficiency (labour productivity); working conditions that meet the strict modern standards; quality education and high qualification of the specialists who work at the workplace; the high wages of such employees; the significant cost of creating a new job and the integration of these jobs into key needs of the territories. …”
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To evaluate the EASE intervention for reducing anxiety and depression among adolescents in Pakistan: a protocol for a mixed methods study, including a cluster-randomised controlled... by Fenglin Cao, Lubna Ghazal, Naixue Cui

“…In addition, adapting interventions from high-income countries to LMICs raises concerns about efficiency. The LMIC-tailored Early Adolescent Skills for Emotions (EASE) intervention, integrating cognitive-behavioural principles, group sessions, non-specialist delivery and parental involvement, provides a promising solution. …”
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Temperature-driven metabolic shifts in duck egg components during early embryogenesis: from diapause to active developmental phase by Zekuan Zuo, Qian Chen, Chengxin Hu, Qian Tang, Chenling Song, Hehe Liu

“…Differential metabolite analysis in yolk and albumen was integrated with KEGG pathway enrichment to identify functional shifts linked to embryonic reactivation. …”
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Demand-Responsive Evaluation and Optimization of Fitness Facilities in Urban Park Green Spaces by Xiaohui Lv, Kangxing Li, Jiyu Cheng, Ziru Ren

“…Among the three user groups—children, young and middle-aged adults, and the elderly—the elderly population exhibited the lowest demand response index, revealing a significant gap in meeting their specific needs. (4) Conclusions: Based on the research findings, a three-tier optimization strategy is proposed: A. improve green space connectivity to expand the service coverage of parks; B. implement multifunctional overlay and coordinated integration in spatial design based on site characteristics and demand diagnostics; and C. increase the total supply of facilities to enhance spatial efficiency in parks. By integrating the demand assessment data and diagnostic results, this approach enabled a data-driven reorganization of service types and targeted allocation of resources within existing park infrastructure, offering a practical tool and reference for the planning of urban outdoor activity spaces.…”
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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering by Hanung Nindito Prasetyo, Riyanarto Sarno, Dedy Rahman Wijaya, Raden Budiraharjo, Indra Waspada, Kelly Rossa Sungkono, Abdullah Faqih Septiyanto

“…Scheduling can be defined as the allocation of multiple jobs in a series of machines, in which each machine only does one job at a time. …”
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Plasticity of Root Architecture and ROS–Auxin Regulation in <i>Paeonia ostii</i> Under Root-Zone Restriction by Qiang Xing, Ruotong Zhao, Peng Zhou, Jun Qin, Heming Liu, Shuiyan Yu, Bin Zhao, Yonghong Hu

“…This study provides a functional analysis of biomass allocation and root architectural responses to the root-zone restriction (RZR) in <i>P. ostii</i>, comparing three container volumes (8.5, 17, and 34 L). …”
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Metacognitive strategies in translation: a comparative study of student and professional translators by Dahui Dong, Meng-Lin Chen

“…Analysis of cognitive resource distribution showed that professionals maintained more consistent engagement across translation stages compared to students’ more variable patterns. …”
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Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

“…The methods of neural network modeling and budgeting, comparative quantitative and structural analysis, index approach and other tools are used in the work.The results of the study. …”
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Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions by Mustafa Ghaleb, Mosab Hamdan, Abdulaziz Y. Barnawi, Muhammad Gambo, Abubakar Danasabe, Saheed Bello, Aliyu Habib

“…Traditional NTC methods, such as port-based analysis and deep packet inspection, struggle to cope with modern network complexities, particularly dynamic port allocation and encrypted traffic. …”
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Integrated Plant Design for Green Hydrogen Production and Power Generation in Photovoltaic Systems: Balancing Electrolyzer Sizing and Storage by Alessandro Franco, Carlo Carcasci, Andrea Ademollo, Mattia Calabrese, Caterina Giovannini

“…For economic and operational viability, the system design must prioritize directing a majority of PV energy to hydrogen production while minimizing grid export, requiring a minimum of 50% PV energy allocation to the hydrogen value chain. Cost analysis estimates a Levelized Cost of Hydrogen (LCOH) as low as €6/kg with an optimized configuration of a 2 MW electrolyzer and 2 MWh battery. …”
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Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach by Yingying Du, Haibin Liu, Hui Huang, Jiazeng Zhang, Yajie Wang

“…The study investigates the characteristics of the implied carbon transfer network using social network analysis (SNA) techniques. Key findings include: (1) The CVAT method's determination of responsibility sharing coefficients aligns with fairness and efficiency principles, resulting in a more equitable distribution of implied carbon emission responsibilities conducive to achieving fair carbon emission reduction. (2) Over the research period, national implied carbon emissions exhibited an upward trajectory, increasing from 3.305 billion tons in 2002 to 9.726 billion tons in 2017, with Shandong, Hebei, and Jiangsu provinces ranking among the top emitters in China. (3) Eastern coastal and western regions function as net carbon transfer out regions, while the central, northeast, and southwest regions act as net carbon transfer in regions. (4) The implied carbon transfer network demonstrated relative stability throughout the study period, with Shandong, Hebei, Jiangsu, and Inner Mongolia emerging as major carbon transfer provinces. …”
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Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators by Jun Chen, Yu Liu, Peng Liu, Yiming Zhao, Yan Zuo, Hui Duan

“… BackgroundLarge language model (LLM) artificial intelligence (AI) tools have the potential to streamline health care administration by enhancing efficiency in document drafting, resource allocation, and communication tasks. …”
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Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

“…Sustainable forecasting of home energy demand (SFHED) is crucial for promoting energy efficiency, minimizing environmental impact, and optimizing resource allocation. …”
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Are Your kidneys ok? Detect early to protect kidney health by Joseph A. Vassalotti, Anna Francis, Augusto Cesar Soares Dos Santos Jr, Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A. Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos

“…Early-stage CKD is asymptomatic, simple to test for, and recent paradigm shifting CKD treatments such as sodium glucose co-transporter-2 inhibitors dramatically improve outcomes and favor the cost-benefit analysis for screening or case-finding programs. Despite this, numerous barriers exist, including resource allocation, healthcare funding, healthcare infrastructure, and awareness of kidney disease among healthcare professionals and the general population. …”
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User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks by Amardip Kumar Singh, Kim Khoa Nguyen

“…Through a rigorous convergence analysis and extensive simulation results, this work demonstrates its superiority over existing state-of-the-art methods. …”
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Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…Through comprehensive analysis of theoretical frameworks, current applications, and future directions, we examine how big data technologies enhance decision-making processes and operational efficiency in global governance frameworks, particularly within United Nations agencies and affiliated international organizations. …”
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Alteration of phycobilisome excitation energy transfer properties in response to attenuations in peripheral electron flow by Zhanjun Guo, Sharon L. Smolinski, Paul W. King, Carolyn E. Lubner

“…These results demonstrate that under conditions where electron utilization changes, there is a tuning of the excitation energy allocation from CpcL-PBS to RCs to manage the energy distribution for photosynthesis under dynamic flux conditions.…”
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Machine learning in predicting firm performance: a systematic review by Yaseen Hezam, Hoa Luong, Lilian Anthonysamy

“…This methodology allowed for an in-depth analysis of the attributes, methods, and algorithms commonly applied in the field, offering insights into the evolution and effectiveness of these approaches over time. …”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…RecompGPT harmonizes cutting-edge algorithmic efficiency with human-centered aesthetics, pushing the boundaries of AI-driven scene analysis and visual recomposition. …”
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