MSTN knockout enhances the production of MYOD1-mediated steak-type cultivated meat by Kyeong-Hyeon Eom, Dayi Jeong, Jae-Yoon Choi, Gyeong-Min Gim, Soo-Young Yum, Sumin Jin, Hojae Bae, Goo Jang

“…This study aimed to enhance the productivity of cultivated meat through optimization of the cell source and organization process. …”
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China's CCUS technology challenges and countermeasures under “double carbon” target by YE Xiaodong,CHEN Jun,CHEN Xi,WANG Haimei,WANG Huijun

“…These countermeasures are as follows: ①Diversified integration of different carbon capture methods to achieve cost reduction at the source based on the characteristics of different emission sources; ②Tackling multi-objective optimization techniques, coordinating and optimizing oil recovery efficiency and CO2 storage rate; ③Continuously developing new catalysts to accelerate the conversion reaction of CO2 and improve conversion efficiency; ④Fully draw on the carbon tax policies of countries such as the United States and Australia, explore fiscal and tax incentive policies suitable for China's CCUS industry, increase economic benefits, and enhance enterprise enthusiasm; ⑤Establish a series of standard specifications covering all aspects of the CCUS entire chain, guide the implementation of engineering construction, and reduce enterprise risks from a standardized perspective. …”
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Research and Engineering Practice of Var-Voltage Control in Primary and Distribution Networks Considering the Reactive Power Regulation Capability of Distributed PV Systems by Haiyun Wang, Qian Chen, Linyu Zhang, Xiyu Yin, Zhijian Zhang, Huayue Wei, Xiaoyue Chen

“…Through the analysis of actual operation cases in a regional power grid, the results demonstrate a reduction in network loss by 171.14 kW through voltage adjustment, validating the effectiveness of the proposed strategy. This method fully leverages the reactive power regulation capability of distributed renewable energy sources, reduces the operational frequency of reactive power equipment in substations, and synergizes with the AVC system to achieve optimal power grid operation.…”
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Crystal’s Self-Alignment for High Power Laser Facility Based on Machine Learning by Yaohan Kang, Daizhong Liu, Xiuqing Jiang, Lei Gong, Xingqiang Lu, Mingying Sun

“…The proposed scheme comprises two modules: a rectangular spiral spot scanning search method module and an automatic spot aligning method module based on the open-source Machine-Learning Online Optimization Package (M-LOOP) algorithm. …”
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Evaluation of the performance of radioprotection ionization chambers used in radiometric survey of radiology clinical systems by Ezequiel da Silva, Lucas Rodrigues Santos, Ladyjane Pereira Fontes Assemany, Maria da Penha Albuquerque Potiens

“…Radiation detectors are equipment used to measure the levels of radiation emitted by sources, be they natural or artificial. Among the most commonly used detectors are ionization chambers (IC). …”
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Rapid and greener vortex-assisted deep eutectic solvent-based dispersive liquid-liquid microextraction for spectroscopic determination of Hg in fuels by Mxolisi J. Kiwanuka, Philiswa N. Nomngongo, Nomvano Mketo

“…The optimized method was validated using NIST SRM 2778 with certified mercury concentration of 38.98 µg/kg ± 1.10 µg/kg. …”
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Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine by Chonghang Zhao, Mingyuan Ge, Xiaogang Yang, Yong S. Chu, Hanfei Yan

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A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process by Vladimir Orlyanchik, Jeffrey Kimmell, Zackary Snow, Amir Ziabari, Vincent Paquit

“…This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. …”
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Estimating the State of Charge in Lithium Primary Batteries: Recent Advances and Critical Insights by Sydney Roth, Daniel Wesolowski, David Schrock, Noah Schorr, Sakineh Chabi

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Simulation of extreme flood events for risk assessment for flood control of a reservoir-lake-river system under spatially dependent uncertainties by Huili Wang, Bin Xu, Jianyun Zhang, Guoqing Wang, Ping-an Zhong, Xinman Qin, Xuesong Yang, Ran Mo, Jinshu Li, William W.-G. Yeh

“…New hydrological insights for the region: The results show that the proposed method can effectively simulate the spatial interdependencies of risk source variables based on limited historical data. …”
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Air-stable silicon hybrid solar cells constructed via hydrophobic polymer film by Qi Geng, Zhen Liu, Yuzhou Liu, Zhe Wang, Zhongliang Gao, Xin Sun, Yingfeng Li, Lei Chen, Xiaojun Lv, Meicheng Li

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Research on Distributed Robust Planning of Electric-Hydrogen-Gas Integrated Energy System Considering Demand Response by ZHANG Wenxuan, SU Jia, DU Xinhui, ZHANG Zhishuo, WANG Qianchun, JIANG Haipeng

“…Simultaneously， through the collaborative optimization of carbon trading and demand response mechanisms， the system could reduce the power purchased by the upper power grid and use flexible loads and distributed power sources to achieve a low-carbon and stable operation of the integrated energy system. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…First, sparse kernel principal component analysis (SKPCA) is used to accomplish the feature decoupling of multi-source monitoring data, and its optimal dimensionality reduction performance is verified using long-term and short-term neural networks (LSTMs). …”
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Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning by Shaofeng Chen, Zhengyan Chen, Jiawen Hong, Xiaowen Zhuang, Chenxi Su, Zheng Ding

“…It further explores campus landscape optimization pathways driven by multi-source data, providing scientific basis for sustainable campus planning.MethodsTaking Fuzhou University Town as a case study, this study integrates machine learning technology with multi-source data (street view images, social media text, and PRS-11 questionnaires) to construct a “multi-modal perception mechanism analysis-dynamic evaluation iteration” framework. …”
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Statistics on Differences in the Institutional Composition of the National Economy and Issues Related to its Harmonization by O. V. Morozov, A. G. Biryukov, M. A. Vasiliev

“…The methodological basis of the research is formed by works on modular theory of society, public sector economy, and structural harmony of systems. Tabular methods of visualization of research results and statistical methods of source data processing were used. …”
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Thermochemical and biochemical conversion of agricultural waste for bioenergy production: an updated review by Hafiz Muhammad Aamir Shahzad, Zukhruf Asim, Sher Jamal Khan, Fares Almomani, Khaled A. Mahmoud, Muhammad Raza Ul Mustafa, Kashif Rasool

“…This review explores the potential of advanced biomass conversion technologies, with a focus on thermochemical and biochemical processes as key methods for optimizing agricultural waste management strategies. …”
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Semi-supervised gearbox fault diagnosis under variable working conditions based on masked contrastive learning by ZHANG Huiyun, ZUO Fangjun, LI Hang, YU Xi

“…Finally, during the fine-tuning phase, a domain-conditioned feature correction strategy was introduced to generate target domain feature corrections. By aligning source domain features and target domain corrected features according to the metric of minimizing domain feature distribution discrepancies, the method explicitly reduces the domain distribution differences caused by varying working conditions. …”
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A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions by Chuanlai Yuan, Juntao Xia, Fengyuan Huang, Peng Zhao, Lingshuang Kong

“…Solar energy is a sustainable and highly promising renewable energy source. The commonly employed Perturbation and Observation (P&O) and Incremental Conductance (INC) methods exhibit advantages such as ease of implementation. …”
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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

“…A K-means clustering method is implemented to classify price, energy demand, wind, and photovoltaic generation into appropriate clusters embedded into the particle swarm optimization (PSO) algorithm. …”
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Device-Independent Quantum Key Distribution Based on Routed Bell Tests by Tristan Le Roy-Deloison, Edwin Peter Lobo, Jef Pauwels, Stefano Pironio

“…We show how to analyze the security of these protocols and compute lower bounds on the key rates using noncommutative polynomial optimization and the Brown-Fawzi-Fawzi method. We determine lower bounds on the asymptotic key rates of several simple two-qubit routed DIQKD protocols based on CHSH or BB84 correlations and compare their performance to standard protocols. …”
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