A Bi-Level Demand Response Framework Based on Customer Directrix Load for Power Systems with High Renewable Integration by Weimin Xi, Qian Chen, Haihua Xu, Qingshan Xu

“…The growing integration of renewable energy sources (RESs) into modern power systems calls for enhanced flexibility and control mechanisms. …”
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A hybrid multi-optimizer approach using CNN and GB for accurate prediction of citrus fruit diseases by Lawrence Kujur, Varuna Gupta, Abhinav Singhal

“…Trained on a dataset of 3,000 citrus fruit images sourced from Kaggle, the model follows a structured process of preprocessing, feature extraction, integration of GB with CNN, and optimal prediction. …”
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An advanced 10K SNP panel for genotyping tomato (Solanum lycopersicum L.) via targeted genome sequencing by Yawo Mawunyo Nevame Adedze, Yanfen Xu, Song Liu, Yaran Zhao, Changjuan Mo, Renxu Zhang, Jiahui Dong, Haofa Lan, Jingjing Huang, Xingming Chen, Xuefei Gao, Qingzhen Yin, Jianan Zhang

“…A series of criteria were performed for site selection and for assessing the sequencing data effectiveness.Results and discussionThe panel designated as the GenoBaits Tomato 10K panel ultimately comprised 11,174 background sites, with 74.83% sourced from database 1 upon optimization. The uniformity_50 and capture efficiency of this panel were 98.03% and 74.84%, respectively, while the SNP detection rate was 99.34%. …”
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Research on Intelligent Hierarchical Energy Management for Connected Automated Range-Extended Electric Vehicles Based on Speed Prediction by Xixu Lai, Hanwu Liu, Yulong Lei, Wencai Sun, Song Wang, Jinmiao Xiang, Ziyu Wang

“…Focusing on connected car-following scenarios, acceleration sequence prediction is performed based on Kalman filtering and preceding vehicle acceleration. A dual-layer optimization strategy is subsequently developed: in the upper layer, optimal speed curves are planned based on road network topology and preceding vehicle trajectories, while in the lower layer, coordinated multi-power source allocation is achieved through <i>EMS_MPC-P</i>, a Bayesian-optimized model predictive EMS based on Pontryagin’ s minimum principle (PMP). …”
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Comparative analysis and selection of the geometry of the microphone array based on MEMS microphones for sound localisation by Andrii Riabko, Tetiana Vakaliuk, Oksana Zaika, Roman Kukharchuk, Yuriy Smorzhevsky

“…The tasks to be addressed include analyzing spatial-frequency characteristics of various microphone array geometries (Uniform Linear Array, Uniform Planar Array, Uniform Circular Array, and Uniform Concentric Array), comparing beamforming algorithms (delay-and-sum, differential, and superdirective), and evaluating their performance under isotropic noise fields and coherent noise sources. The methods used involve the application of both established and author-derived analytical models for transfer functions and directivity coefficients, as well as experimental validation using a prototype device built on a Raspberry Pi 5 platform with an Adafruit PCA9548 8-Channel STEMMA QT expansion board and SPH0645LM4H-B omnidirectional MEMS microphones. …”
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Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems by Fadhil Khadoum Alhousni, Samuel Chukwujindu Nwokolo, Edson L. Meyer, Theyab R. Alsenani, Humaid Abdullah Alhinai, Chinedu Christian Ahia, Paul C. Okonkwo, Yaareb Elias Ahmed

“…In order to meet the demands of both climate resilience and the scaling of renewable energy, FPV platforms must become cyber-physical, self-optimizing systems. This paper introduces a paradigm shift by using a methodical and theoretical approach to review and incorporate empirical research, advanced simulation, and AI-driven system intelligence. …”
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Combined Effects of Magnetized Irrigation and Water Source on Italian Lettuce (<i>Lactuca sativa</i> L. var. <i>ramosa</i> Hort.) Growth and Gene Expression by Xueying Yao, Xiaofan Wang, Mingshan Qu, Yibo Wei, Feifei Shan, Youli Li

“…Agricultural water scarcity has become a global issue. Optimizing irrigation water quality and effectively utilizing non-conventional water resources are essential strategies to alleviate pressure on agricultural water use and achieve sustainable development. …”
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Gas chromatography for analysis and estimation of 13C at natural abundance level in fatty acids produced from Aurantiochytrium limacinum, a sustainable source of polyunsaturated fa... by Amina M. Dirir, Kaumeel Chokshi, Kaumeel Chokshi, Abdelmoneim H. Ali, Media Alhanawi, Mohan Rommala, Mayssa Hachem, Mayssa Hachem

“…Aurantiochytrium limacinum (A. limacinum) is a promising microbial source of polyunsaturated fatty acids (PUFAs), particularly Docosahexaenoic Acid (DHA, C22:6n-3). …”
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Multi‐objective and multi‐stage low‐carbon planning of park integrated energy system considering random outages from superior power grid by Xunpu Jiang, Zhejing Bao, Jianwei Chen, Miao Yu

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Reducing the Break-even Time by Smart Power Managing in Data Center with Renewable Energy by somayyeh taheri, Maziar Goudarzi

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The impact of spatial representation in energy transition modelling on systemwide energy return on investment by Hasret Sahin, Abebe Asfaw Solomon, Arman Aghahosseini, Christian Breyer

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Integrating the circular economy model into the management and treatment of Fischer–Tropsch effluents—a conversion of waste to energy (biogas) opportunity by Mabatho Moreroa, Thapelo P. Malematja, Grace Nkechinyere Ijoma

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Social Programs in the Structure of Expenditures of the Consolidated Budget of the Federa-tion Subject by A. S. Dmitriev, A. M. Stash

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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Time Synchronization Techniques in the Modern Smart Grid: A Comprehensive Survey by Yu Liu, Biao Sun, Yuru Wu, Yongxin Zhang, Jiahui Yang, Wen Wang, Naga Lakshmi Thotakura, Qian Liu, Yilu Liu

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Thermal Simulation in Wire Arc Additive Manufacturing of A 5356 Aluminium Single Track Deposited on 7108 Aluminium Substrate by Eman Shams, Noha Ramadan, Marwan Abdelwahed, Nahed ElMahallawy, Mohamed A Taha

“…To analyze these thermal effects, numerical simulation serves as a valuable investigative method. In this study, SIMUFACT-Welding software was used to model and simulate different parameters of WAAM process for producing aluminium single tracks. …”
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OPTIMATRIX v2.0: Optimised protocol to mitigate microbial blooms in the micro-Matrix bioreactor platform used as an ex vivo human distal colon model by Arghya Mukherjee, Nicola Ferremi Leali, Elisa Salvetti, Sandra Torriani, Paul D. Cotter, Harsh Mathur

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Enhancing access to underutilized ground water potential for improving livelihoods and conflict reduction in Kagera Sub-Basin, Tanzania by Estella Mgala, Joel Nobert, Edmund B. Mabhuye, Brown Gwambene

“…The study employed a mixed-methods approach, utilizing key informant interviews, household questionnaires, focus group discussions, direct observations, and secondary data sources. …”
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Energy Management Control Strategy Based on Harris Hawks Optimization Technique for Fuel Cell Hybrid Electric Vehicle by Gondu Vykunta Rao, Ankit Soni, Aruna Bharathi, Baratam Murali, Vanjarapu Vykunta Rao

“…This paper will discuss the combination of Harris Hawks Optimization (HHO) for the energy management and control of these source systems, for the constraint of mandated sources, and to ensure stability. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…When attempting to classify data with a high degree of uncertainty, many researchers have turned to heuristic approaches and machine learning (ML) methods. We propose an entirely new ML method in this paper by fusing the Radial Basis Function (RBF) network based on ant colony optimization (ACO). …”
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