Investment Function of Economic Growth in Russia by O. S. Sukharev

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Whole genome resequencing-based analysis of plateau adaptation in Meiren yak (Bos grunniens) by Tong Wang, XiaoMing Ma, ChaoFan Ma, XiaoYun Wu, Ta ZhaXi, LiXin Yin, WeiGuo Li, YuFei Li, ChunNian Liang, Ping Yan

“…We analysed a total of 93 yaks of eight yak breeds based on whole genome resequencing combined with population genomics and used θπ ratio and Fst method to screen the selected sites in the genome region. The results proved that Meiren yak can be used as a potential genetic resource in Gansu Province. …”
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To Hunt or Patrol? Social Composition and Location Mediate Scent Marking Decisions of a Large Carnivore by K. Whitney Hansen, Neil R. Jordan, Megan J. Claase, J. W. McNutt, Alan Wilson, Christopher C. Wilmers

“…Specifically, we used resource selection function frameworks to determine how and whether conspecifics influenced habitat selection and behavior at multiple orders of selection. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

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Multi-Objective Optimal Allocation of Regional Water Resources Based on the Improved NSGA-III Algorithm by Yuhao Wang, Yi Wang, Bin He

“…Rapid socio-economic development has intensified the conflict between supply and demand for regional water resources, necessitating optimized water resource allocation to enhance water security. …”
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Quantitative design and production methods for sustainably increasing maize grain yield and resource use efficiency by Huaxiang JI, Guangzhou LIU, Wanmao LIU, Yunshan YANG, Xiaoxia GUO, Guoqiang ZHANG, Zhiqiang TAO, Shaokun LI, Peng HOU

“…This study summarized the key limiting factors, such as solar radiation, temperature, water, soil resources and extreme weather events that currently limit the yield and resource use efficiency of maize production, as well as the main problems existing in the process of maize production, such as unsuitable cultivar selection, low planting density and inappropriate fertilizer application. …”
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A Novel NSGA-III-GKM++ Framework for Multi-Objective Cloud Resource Brokerage Optimization by Ahmed Yosreddin Samti, Ines Ben Jaafar, Issam Nouaouri, Patrick Hirsch

“…Cloud resource brokerage is a fundamental challenge in cloud computing, requiring the efficient selection and allocation of services from multiple providers to optimize performance, sustainability, and cost-effectiveness. …”
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Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions by V. F. Korotkov, R. S. Zyryanov

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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the R... by Fengjun WU, Xin-Ai XU

“…In this study, we propose the Modified Arctangent Function (MAT), which enhances gravity source edge detection by integrating the total horizontal gradient with a modified arctangent function. …”
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Human Resource Management in Public Administration: The Ongoing Tension Between Reform Requirements and Resistance to Change by Branka Zolak Poljašević, Ana Marija Gričnik, Simona Šarotar Žižek

“…Human resource management (HRM) plays a critical role in shaping public administration by ensuring the efficiency, effectiveness, and adaptability of public institutions. …”
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SFP selection algorithm for SFC by Yongqing ZHU, Xia GONG, Huanan CHEN

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Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols by Alkinoos Athanasiou, Chrysa Lithari, Konstantina Kalogianni, Manousos A. Klados, Panagiotis D. Bamidis

“…Event-Related Desynchronization/Synchronization (ERD/ERS) of the mu-rhythm was used to evaluate MI performance. Source detection and FCNs were studied with eConnectome. …”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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The impact of functional selectivity by fisheries on the fish fauna of Abrolhos Bank by Claudio M. Pierard, Florian Meirer, Erik van Sebille

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Dietary Niche Variation in an Invasive Omnivore: The Effects of Habitat on Feral Pig Resource Use in Hawai‘i by Michael S. Peyton, Kealohanuiopuna M. Kinney, Sarah Knox, Grace Tredennick, Sara Hotchkiss

“…ABSTRACT Invasive omnivores may have profound impacts on ecological communities through diet selection, particularly when their functional roles differ from those in their native range. …”
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Utilization of Garcinia mangostana L. Peel as an Immunomodulator to Improve the Quality of Human Resources: A Systematic Review by Yunita Satya Pratiwi, Dina Mustika Rini, Ifwarisan Defri, Tawaffani Qubra, Nadien Mutia Intan Maulidi

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Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model by HOU Xiang-dong, ZHAO Xiang-ling

“…[Objectives] With the socioeconomic development, conflicts among the population, water resources, and the environment have become increasingly prominent. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…Computation offloading transfers resource-intensive tasks from local Internet of Things (IoT) devices to powerful edge servers, which minimizes latency and reduces the computational load on IoT devices. …”
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Narrow-spectrum resource-utilizing bacteria drive the stability of synthetic communities through enhancing metabolic interactions by Wei Wang, Yanwei Xia, Panpan Zhang, Mengqing Zhu, Shiyi Huang, Xinli Sun, Zhihui Xu, Nan Zhang, Weibing Xun, Qirong Shen, Youzhi Miao, Ruifu Zhang

“…Abstract The importance of synthetic microbial communities in agriculture is increasingly recognized, yet methods for constructing targeted communities using existing microbial resources remain limited. Here, six plant-beneficial bacterial strains with distinct functions and rhizosphere resource utilization profiles are selected to construct stable, multifunctional communities for plant growth promotion. …”
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