Can the Return of Rural Labor Effectively Stimulate the Demand for Land? Empirical Evidence from Sichuan Province, China by Kai Huang, Shaoquan Liu, Dingde Xu

“…Whether migrant workers with the advantage of human capital can effectively promote moderate scale management is a problem worthy of in-depth discussion. Based on survey data from three counties in Sichuan Province in 2024, this paper empirically analyzes the impact of migrant workers’ return on farmers’ land transfer-in behavior by constructing IV-Probit and IV-Tobit models. …”
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Consensus-Based Power System State Estimation Algorithm Under Collaborative Attack by Zhijian Cheng, Guanjun Chen, Xiao-Meng Li, Hongru Ren

“…The consensus-based distributed state estimation problem is investigated for power systems subject to collaborative attacks. …”
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Distributed low-carbon economic dispatch of interconnected multi-area system with CCS-ESS by Junhui Li, Yan Shao, Gang Mu, Xingxu Zhu, Gangui Yan, Cuiping Li

“…In an interconnected multi-area system, there is a problem of losing carbon capture intensity when the traditional carbon-capture-power-plants (CCPP) release flexibility to assist renewable energy consumption. …”
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A Lightweight Load Identification Model Update Method Based on Channel Attention by Yong Gao, Junwei Zhang, Mian Wang, Zhukui Tan, Minhang Liang

“…In this study, a load identification method based on the channel attention mechanism is proposed for the lightweight model update problem in the electrical load identification task. …”
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A new lattice-based partially blind signature with more complete proof by Peiyu Li, Juntao Gao, Xuelian Li

“…With the development of quantum computing technology, it becomes more urgent to construct secure partially blind signature schemes in quantum environments. …”
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Mercury removal by Aquarius palifolius (Nees & Mart.) Christenh. & Byng: Isotherms model, superoxide dismutase activity, and chlorophyll content by Dwi Umi Siswanti, Dinda Ayuningtyas, Shafira Nurulita Nugraheni, Tsurayya Nurhanifah, Himawan Tri Bayu Murti Petrus, Eko Agus Suyono, Budi Setiadi Daryono

“…Sustainable and environmentally friendly methods can be a solution to overcome this problem. Bioremediation methods use plants with defense mechanisms against mercury, namely Mexican sword plants or Aquarius palifolius, which is a promising solution. …”
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Observer based resilient security control for networked nondeterministic Markovian jump systems with cyber attacks and its applications by T. Saravanakumar, V. Tharanidharan, Chee Peng Lim, Kwang Su Kim, Muhammad Umair Ali

“…Abstract This paper investigates the problem of the observer-based resilient event-triggered control for stochastic Markovian jump systems subject to probabilistic cyber attacks, actuator failures, and controller gain variations. …”
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4D-TExS: A new 4D lattice-QCD equation of state with extended density coverage by Jahan Johannes, Abuali Ahmed, Borsányi Szabolcs, Kahangirwe Micheal, Parotto Paolo, Pásztor Attila, Ratti Claudia, Shah Hitansh, Trabulsi Seth A.

“…Although calculations of QCD thermodynamics from first-principle lattice simulations are limited to zero net-density due to the fermion sign problem, several methods have been developed to extend the equation of state (EoS) to finite values of the B, Q, S chemical potentials. …”
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Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids by Changchun Cai, Fenglu Gan, Yong Cui, Bo Li, Shixi Hou

“…Subsequently, the coordinated optimization problem is formulated as a Markov Decision Process (MDP). …”
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Artificial Intelligence Method for Predicting Mechanical Properties of Sand/Glass Reinforced Polymer: a New Model by Mahmood Heshmati, Sajad Hayati, Saeed Javanmiri, Mohammad Javadian

“…The neural network soft computation, support vector machine (SVM), and active learning method (ALM) that is a fuzzy regression model are all used to construct a simple and reliable model based on experimental datasets. …”
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Improved Super-Twisting Sliding Mode Control of a Brushless Doubly Fed Induction Generator for Standalone Ship Shaft Power Generation Systems by Xueran Fei, Minghao Zhou, Yingyi Jiang, Longbin Jiang, Yi Liu, Yan Yan

“…This study proposes an improved super-twisting sliding mode (STSM) control method for a brushless doubly fed induction generator (BDFIG) used in standalone ship shaft power generation systems. Focusing on the problem of the low tracking accuracy of the power winding (PW) voltages caused by the parameter perturbation of BDFIG systems, a mismatched uncertain model of the BDFIG is constructed. …”
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Bearing fault diagnosis algorithm based on maximum correlated kurtosis feature mode decomposition and compound Gini index by YANG Gang, XU Wuyi, DENG Qin, QIN Limu, WEI Yuqian

“…Firstly, a new sparse index called CGI was constructed by combining the squared Gini index in the time domain and frequency domain to quantify the abundance of periodic impulses in the time domain and frequency domain, and its performance was evaluated and verified. …”
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A generative adversarial network for multiple reads reconstruction in DNA storage by Xiaodong Zheng, Ranze Xie, Xiangyu Yao, Yanqing Su, Ling Chu, Peng Xu, Wenbin Liu

“…Abstract DNA storage is widely considered as a promising solution to the data explosion problem. However, the synthesis, PCR and sequencing processes usually result in erroneous reads involving base insertions, deletions, and substitutions. …”
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Unveiling the ethical void: Bias in reference citations and its academic ramifications by Alicia Mattiazzi, Martin Vila-Petroff

“…We argue that the international scientific community should be aware of this problem and recognize its consequences, which include hindering the accurate dissemination of science, marginalizing underrepresented voices in academia, and impeding scientific progress. …”
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Ultrasensitive and Selective Electrochemical Detection of Dopamine Based on CuO/PVA Nanocomposite-Modified GC Electrode by A. Mohamed Azharudeen, Arpita Roy, R. Karthiga, S. Arun Prabhu, M. G. Prakash, A. Mohamed Ismail Badhusha, Huma Ali, Khadijah Mohammedsaleh Katubi, Md. Rabiul Islam

“…Dopamine recognition is important to avoid this problem. Copper oxide (CuO) nanoparticles are one of the potentials which can be used in the detection of dopamine level in the sample. …”
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Electromagnetic Source Imaging With a Combination of Sparse Bayesian Learning and Deep Neural Network by Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li

“…Within this framework, the variational inference in conventional algorithm, which is built upon sparse Bayesian learning, is compressed via constructing a straightforward mapping from measurements to latent sparseness encoding parameters using deep neural network. …”
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The Control Method that Load Respond to Distributed Generation Fluctuation in Microgrid Based on Image Matching by Weidong CHEN, Min GUO, Ning WU, Bin FENG

“…In order to improve the performance of intelligent regulation and control of microgrid, the load response distributed power fluctuation control method of microgrid based on image matching was proposed based on data-driven idea and artificial intelligence technology in view of the problem of load regulation strategy development of microgrid.Firstly, based on the multi-dimensional operation data of distributed power supply and adjustable load, a comprehensive source and load characteristic image of the microgrid in the next regulation period is constructed. …”
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Identification of Tool-Wear State Using Information Fusion and SSA–BP Neural Network by Zishuo Wang, Hongwei Cui, Shuning Liang, Tao Ding, Xingquan Gao

“…Lastly, a tool-wear-state identification model based on the SSA–BP neural network is constructed. Experimental results show that the proposed method has an identification accuracy of 98.33%, precision rate of 98.81%, recall rate of 97.96%, and F1 score of 98.36%.…”
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Joint Optimization Method for Preventive Maintenance and Train Scheduling of Subway Vehicles Based on a Spatiotemporal Network Graph by Chuanzhen Liu, Zhongwei Xu, Meng Mei, Wenqing Li

“…First, based on spatiotemporal network theory, the transition process between train operation scheduling and preventive maintenance states is analyzed, and a spatiotemporal state network graph is constructed to represent the temporal and spatial transitions of subway vehicles throughout the planning period. …”
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Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization by Taiki Kato, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

“…Data-carrying reference signals are a type of reference signal (RS) constructed on the Grassmann manifold, which allows for simultaneous data transmission and channel estimation to achieve boosted spectral efficiency at high signal-to-noise ratios (SNRs). …”
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