Advancements in Integrated Thermoelectric Power Generation and Water Desalination Technologies: A Comprehensive Review by Oranit Traisak, Pranjal Kumar, Sara Vahaji, Yihe Zhang, Abhijit Date

“…The growing population and reliance on fossil fuels for electricity generation pose challenges related to environmental pollution and resource depletion, necessitating the exploration of alternative energy sources and desalination techniques. While thermoelectric generators are capable of converting low-temperature thermal energy into electricity and desalination processes that can utilize low-temperature thermal energy, their effective integration remains largely unexplored. …”
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Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest by Shashika Himandi Gardeye Lamahewage, Chandi Witharana, Rachel Riemann, Robert Fahey, Thomas Worthley

“…We utilized 67 explanatory variables, which were extracted from three RS sources resulting in nine RF models. …”
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ASSESSMENT OF MARKET SEGMENTATION AND PERCEIVED SALES VOLUME OF TOYOTAAND HONDA VEHICLE PRODUCTS IN NIGERIA by UMUNNA CAJETAN

“…This research examines the segmentation process and how it may be used to increase the sales volume of an organization's goods or services. Trend analysis was utilized to assess data collected from both primary and secondary sources. …”
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Beamforming design for energy-constrained full-duplex two-way relaying system by Wei WANG, Liyuan AN, Guoan ZHANG, Shibing ZHANG

“…A beamforming design was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.A utility optimization problem was considered aiming to maximize the harvested energy by jointly optimizing the beamforming matrix,the power splitting ratio at the relay and the transmit powers at the sources.Since the formulated joint optimization problem was nonconvex,it was difficult or even intractable to obtain the global optimal solution.To overcome this issue,the objective problem into three subproblems was decoupled which could be solved by the proposed semidefinite relaxation technique and the derived constraints activation solution,respectively.The solution was finally obtained with the proposed convergent iterative algorithm.Simulation results show that the proposed joint optimization scheme achieves the optimal performance.Compared with the traditional half-duplex (HD) algorithm,the proposed algorithm can obtain 2~3 times energy harvesting (EH) efficiency improvement,while the computational complexity increases slightly.…”
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Integrating distributed photovoltaic and energy storage in 5G networks for sustainable IoT applications by Yi Zhong, Yiting Wu, Yi Zheng, Xiaohu Ge

“…This paper explores the integration of distributed photovoltaic (PV) systems and energy storage solutions to optimize energy management in 5G base stations. By utilizing IoT characteristics, we propose a dual-layer modeling algorithm that maximizes carbon efficiency and return on investment while ensuring service quality. …”
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Optimizing E-Commerce Selection Under Uncertainty: A New Framework for Decision-Making With Extended Fuzzy TOPSIS by Jency Leona Edward, Palanivel Kaliyaperumal

“…Data pertinent to e-commerce websites during the pandemic was sourced from various channels, including web analytics, marketing reports, and customer feedback surveys. …”
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Optimization algorithm of power system line loss management using big data analytics by Yang Li, Danhong Zhang, Ming Tang

“…Abstract As global energy demand continues to rise and renewable energy sources develop rapidly, the operational efficiency and stability of power systems have emerged as primary challenges in energy management. …”
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Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions by Novia Hasdyna, Rozzi Kesuma Dinata, Balqis Yafis

“…These results highlight an enhancement in clustering performance and overall efficiency.…”
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Screening HFC/HFO and ionic liquid for absorption refrigeration at the atomic scale by the prediction model of machine learning by Jianchun Chu, Maogang He, Georgios M. Kontogeorgis, Xiangyang Liu, Xiaodong Liang

“…Absorption refrigeration is a highly effective method for utilizing renewable energy, as it can be driven by low-grade heat sources such as industrial waste heat, solar energy, and geothermal energy. …”
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Benchmarking and Fidelity Response Theory of High-Fidelity Rydberg Entangling Gates by Richard Bing-Shiun Tsai, Xiangkai Sun, Adam L. Shaw, Ran Finkelstein, Manuel Endres

“…The remaining infidelity is explained by an ab initio error model, consistent with our experimental results over a range of gate speeds, with varying contributions from different error sources. Further, we develop a fidelity response theory to efficiently predict infidelity from laser noise with nontrivial power spectral densities and derive scaling laws of infidelity with gate speed. …”
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Comparative Analysis of a Low-Voltage CHB Inverter Without PWM and Two-Level IGBT/SiC Inverters for Electric Vehicles on Driving Cycles by Gael Pongnot, Anatole Desreveaux, Clement Mayet, Denis Labrousse, Francis Roy

“…This study focuses on evaluating the efficiency of CHB inverters utilizing low-voltage Si MOSFETs to improve EV performance and range. …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…The proposed method aims to overcome the limitations of heuristic search and improve the efficiency of weight adjustment in ANNs. This new approach enhances the discovery phase of the traditional R-ABC by including the parameters of neighboring food sources, augmenting the search capabilities for finding the optimal solution. …”
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Photocatalytic Degradation of Acid Red and Acid Black Dyes Using Mn-Doped SrTiO₃ Perovskite Nanostructures by Mohammed Khalaf Zidane

“…These outcomes affirm the potential of Mn-doped SrTiO₃ as a viable photocatalyst for dye-contaminated wastewater treatment utilizing solar or artificial light sources The Mn-doped SrTiO₃ achieved degradation efficiencies of (92.5 %) for acid red (1 and 88.3 %) for acid black 1 within (120 min). …”
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Low pressure PEM electrolyzer system modeling with heat loss representation by Asmaa A. Ghany, Mohamed Mahmoud Samy

“…Low-pressure proton exchange membrane (PEM) electrolyzers are increasingly recognized for their effectiveness in hydrogen production, especially when combined with renewable energy sources. These systems function efficiently at reduced pressures, leading to lower cost of operation and improved safety. …”
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Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…Accurately identifying sarcasm remains challenging due to its context-dependent nature and linguistic complexity across informal text sources like social media and conversational dialogues. …”
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Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion by Priya Persaud, Aparna S. Varde, Weitian Wang

“…This paper offers a comprehensive discussion of this complex question through cross-disciplinary scholarly sources from computer science, ethics, and law. The computer science perspective dissects hardware and software of robots to unveil whether human behavior can be efficiently replicated. …”
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Exploring the Impact of Large Language Models on Disease Diagnosis by Ibrahim Almubark

“…The review highlighted the widespread use of LLMs, such as GPT-4, ChatGPT, GPT-3.5, and LLaMA, with GPT-4 being the most frequently used in disease diagnostics due to its diverse applications, improved accuracy, and efficiency. This review shows that LLMs have utilized a variety of medical data sources, including general medical databases, specialized documents, medical images, and genomic data. …”
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Improving Integrated Energy Systems With Improved Particle Swarm Optimization: Co-Optimizing Renewables, Electric Vehicles, Gas Systems, and Demand Management by Vahid Khademi, Soodabeh Soleymani, Reza Sharifi, Babak Mozafari

“…This research focuses on optimizing integrated energy systems to enhance both energy efficiency and profitability. Due to the uncertainty in renewable energy output and fluctuating electricity prices, a scenario-based model is utilized. …”
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Carbon emissions from agricultural land use in China: spatio-temporal dynamics and pathways to neutrality by Xiongtian Shi, Zhenghao Zhou, Zhengyong Yu

“…This research analyzes the spatio-temporal evolution and driving factors of agricultural land use carbon emissions (ALUCE) in China from 2013 to 2022, utilizing LMDI and STIRPAT models. Key findings include: (1) Significant regional disparities exist, with eastern provinces exhibiting high and increasing ALUCE levels, while western provinces remain low and stable, necessitating targeted regional strategies and technological support. (2) Total ALUCE in China decreased by 8.6%, highlighting the need to optimize high carbon emission sources for sustainable agriculture. (3) ALUCE inequality is stable yet slightly variable, driven by inter-provincial differences, with spatial polarization evident. (4) Agricultural production efficiency inhibits ALUCE, while output increases and labor scale positively contribute. …”
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Enantioselective construction of silicon-stereogenic vinylsilanes from simple alkenes by Kailin Yin, Jinyu Zhang, Deng Pan, Shu-Han Chen, Song Chen, Yufeng Shi, Genping Huang, Dongbing Zhao

“…Abstract The diverse utility of acyclic vinylsilanes has driven the interest in the synthesis of enantioenriched vinylsilanes bearing a Si-stereogenic center. …”
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