Reduction of Dietary Fat Rescues High-Fat Diet-Induced Depressive Phenotypes and the Associated Hippocampal Astrocytic Deficits in Mice by Kai-Pi Cheng, Hsin-Hao Chao, Chin-Ju Hsu, Sheng-Feng Tsai, Yen-Ju Chiu, Yu-Min Kuo, Yun-Wen Chen

“…Method: Male mice were fed a high-fat diet (HFD) for 12 weeks, followed by either continued HFD feeding (HFD/HFD group) or a switch to a standard diet for 4 weeks (HFD/SD group). …”
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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD by Gabriel Cubillos, Javier Perez-Valenzuela, Herman Aguirre, Luz Martínez, Lorena Castro, Gabriel Mezzano, Claudio A. Perez

“…We report the development of a novel Deep Learning (DL) method for the prediction of SLD, which consists of transforming the input variables from tabular data into images, with the goal of using the pattern recognition power of DL models to reach the best prediction performance. …”
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Multi-parameter modeling and analysis of ground motion amplification in the Quaternary sedimentary basin of the Beijing-Tianjin-Hebei regionKey points by Hong Zhou

“…In this study, we established a three-dimensional structure model of the Quaternary sedimentary basin based on the velocity structure model of the North China Craton and used it to simulate the ground motion under a strong earthquake following the spectral element method, obtaining the spatial distribution characteristics of the ground motion amplification ratio throughout the basin. …”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…These features were used to train classification models (Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM)) with a 70:30 train-test split and tenfold cross-validation. …”
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A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

“…This paper proposes a Model Predictive Current Control (MPCC) based variable sampling time interleaving method to improve the current shaping ability, power conversion efficiency, power density and current ripple reduction of a two-phase totem pole bridgeless boost power factor correction (PFC) converter. …”
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Numerical analysis of bubble coalescence characteristics on wetting surface by Liuming YANG, Shicheng LIU, Zhiyong PEI, Xiangshao KONG

“…ObjectiveThis study aims to advance the development of composite drag reduction technology involving super-hydrophobic surfaces and bubbles by investigating the coalescence characteristics of bubbles on wetting surfaces and revealing the effects of surface wettability, bubble spacing, and bubble size on bubble coalescence.MethodsA numerical model of bubble coalescence on an underwater wetting surface is established based on the volume of fluid (VOF) method. …”
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Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches by V M Gautham, A Sumesh, E V Jithin, K Rameshkumar, Dinu Thomas Thekkuden

“…For bagged tree model, a maximum accuracy of 86.1% was obtained with Kruskal-Wallis method. …”
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Прогнозирование уровня смертности от инфекции Mpox в Африке с использованием гибридного подхода by Djillali Seba

“…Mpox has become a major public health concern due to its rapid spread and the strain it places on healthcare systemsMethods: In this paper, we use a hybrid approach to enhance the performance of traditional models. …”
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Energy Efficiency and Environmental Technologies in Carbon Emissions Reduction Strategies for a Sustainable Future: Estimation Through Simultaneous Equation Systems by Sabiha Oltulular

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Hybrid Deep Neural Network with Domain Knowledge for Text Sentiment Analysis by Jawad Khan, Niaz Ahmad, Youngmoon Lee, Shah Khalid, Dildar Hussain

“…To address these challenges, we propose an innovative hybrid sentiment analysis approach that combines established DNN models like RoBERTA and BiGRU with an attention mechanism, alongside traditional feature engineering and dimensionality reduction through PCA. …”
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Quantitative Analysis of Penetrating Wound Behavior Under Vacuum-Assisted Closure Therapy by Kossak T, Galkiewicz J

“…One of the state-of-the-art methods is negative pressure wound therapy. The article presents the results of experimental studies on wound models made in ballistic gel casts and dressed with a vacuum dressing. …”
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The Estimation of the Remaining Useful Life of Ceramic Plates Used in Iron Ore Filtration Through a Reliability Model and Machine Learning Methods Applied to Industrial Process Var... by Robert Bento Florentino, Luiz Gustavo Lourenço Moura

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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

“…The following models and methods were used: data processing and preparation, data dimensionality reduction. …”
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Unlocking urban transportation carbon reduction potential: a dynamic evaluation of public transit adoption in response to carbon-centric policies by Ran Peng, Ran Peng, Ran Peng, Keyuan Ding, Keyuan Ding, Xueliang Liu, Xueliang Liu, Keyu Yao, Keyu Yao, Xu Zhou, Xu Zhou, Wei Zhang, Wei Zhang

“…One such strategy is to shift travelers from high-carbon to low-carbon modes of transportation, a potential that has not been thoroughly quantified in urban planning frameworks.MethodsThis study introduces the concept of urban transportation carbon reduction potential, defined as the share of travelers who could feasibly switch to low-carbon modes under optimized public transit conditions. …”
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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

“…While many feature selection methods effectively reduce the number of model features, they often cause information loss caused by merely selecting or discarding features, which limits classifier performance. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…For the DoW attack mitigation process, the bi-directional long short-term memory multi-head self-attention network (BMNet) method is employed. Finally, the hyperparameter tuning is accomplished by implementing the secretary bird optimizer algorithm (SBOA) method to enhance the classification outcomes of the BMNet model. …”
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Catalyzing co-benefits: how cross-regional coordination accelerates pollution and carbon reduction in China’s Yangtze river economic belt by Zun Yu, Zebin Zhao, Shoujuan Zang, Aiyu Qu

“…BackgroundChina faces the dual challenge of pollution control and carbon reduction amid rapid urbanization and industrialization, while traditional environmental policies struggle to meet the demands of cross-regional coordinated governance.MethodsUsing the Outline of YREB as a policy context, this study systematically evaluates the co-benefits and mechanisms of cross-regional coordination policies on pollution and carbon reduction. …”
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Energy Efficiency, CO₂ Emission Reduction, and Real Estate Investment in Northern Europe: Trends and Impact on Sustainability by Laima Okunevičiūtė Neverauskienė, Manuela Tvaronavičienė, Dominykas Linkevičius

“…This study uses advanced quantitative methods, including a panel regression model, which helps better reveal the long-term dependencies between investment, energy consumption, and emissions dynamics. …”
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Synchronized Carrier-Wave and High-Frequency Square-Wave Periodic Modulation Strategy for Acoustic Noise Reduction in Sensorless PMSM Drives by Wentao Zhang, Sizhe Cheng, Pengcheng Zhu, Yiwei Liu, Jiming Zou

“…Concurrently, a harmonic current model is developed for the high-frequency square-wave injection method, enabling the precise derivation of harmonic components. …”
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Multi-stage Dynamic Plan of Regional Integrated Energy System Considering Medium and Long-Term Carbon Emission Reduction Constraints by Xiaofei WANG, Hongbo REN, Qiong WU, Qifen LI

“…The model can preset flexible stage division rules and different carbon emission reduction modes, and the optimal equipment allocation scheme is obtained by using a mixed integer linear programming method with the objective of minimizing the overall regional energy supply cost in the planning cycle. …”
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