Uncovering Key Factors That Drive the Impressions of Online Emerging Technology Narratives by Lowri Williams, Eirini Anthi, Pete Burnap

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Balancing strength and electrical conductivity in recycled Al-Mg-Si alloys: Beneficial effect of combining continuous rheo-extrusion processing with Al-5Ti-1B refiner by Shuo Zhang, Qing He, Guangzong Zhang, Siqi Yin, Junwen Li, Jin Zhang, Renguo Guan

“…This study utilizes the continuous rheo-extrusion (CRE) process and CRE Al-5Ti-1B grain refiner to fabricate high-quality recycled Al-Mg-Si alloy wires, aiming to achieve an optimal balance between strength and electrical conductivity. …”
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Current trends in electron beam and laser powder bed fusion additive manufacturing of copper alloys: Composition, defects, properties, and challenges by Bhaskaranand Bhatt, Alessandra Martucci, Sara Biamino, Daniele Ugues, Federica Bondioli, Laura Montanaro, Mariangela Lombardi, Paolo Fino

“…Initially, roadblocks to Cu alloy printability are identified, along with solutions to surmount them, followed by feedstock development in the context of L/E-PBF. An extensive process-induced defect analysis is presented to assess the impact of powder feedstock characteristics, process parameters, and heat treatments. …”
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Comparison of Signal Detection of GaAsP and GaAs PMTs for Multiphoton Microscopy at the 1700-nm window by Yuxin Wang, Kai Wang, Wenhui Wen, Ping Qiu, Ke Wang

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Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification by Lama Ayash, Abdulmohsen Algarni, Omar Alqahtani

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An Empirical Comparison of Machine Learning and Deep Learning Models for Automated Fake News Detection by Yexin Tian, Shuo Xu, Yuchen Cao, Zhongyan Wang, Zijing Wei

“…Detecting fake news is a critical challenge in natural language processing (NLP), demanding solutions that balance accuracy, interpretability, and computational efficiency. …”
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images by Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Aseel Smerat, Henry Fabian Gongora, Carlos Eduardo Uc Rios, Imran Ashraf

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Asymmetric Space Vector Modulation With Positive and Negative DC-Bus Clamping: A Strategy for Enhanced THD and Efficiency by Balram Kumar, Sankar Peddapati, Praveen Kumar Bonthagorla

“…The modified structure helps in mitigating the NP voltage unbalancing and has the feature of reduced power processing. The pole voltages of the proposed converter include the input DC source and the boost converter’s output voltage with respect to the ground. …”
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A Concept for Improving Battery Energy Storage System Performance in a Redundant DC Microgrid Without SoC-Based Droop by Thales Augusto Fagundes, Lucas Jonys Ribeiro Silva, Marcio Von Rondow Campos, Marina Silva Camillo de Carvalho, Bruno Meneghel Zilli, Guilherme Henrique Favaro Fuzato, Ricardo Quadros Machado

“…In addition, a boost converter integrates the fuel cell (FC) through the CBC dc-link, employing a droop controller to regulate power production. …”
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Design of MPPT characteristic measurement and control system for wind power generation system by Lv Fuyong, Wang Jie, Du Tong, Liu Zeyu, Xu Jiarui, Wang Yazhou

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Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact by Supriya Raghav, Santosh Kumar, Hamid Ashraf, Poonam Khanna

“…Long-term projections using ensemble methods (such as XG Boost, Exponential Smoothing, and Prophet) predicted that, on average, each year contributes approximately 20% to the total cumulative savings over 5 years. …”
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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

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Nonlinear multimode photonics on-chip by Vitali Valerio, Bucio Thalía Domínguez, Liu Hao, Haines Jack, Naik Pooja Uday, Guasoni Massimiliano, Gardes Frederic, Pavesi Lorenzo, Cristiani Ilaria, Lacava Cosimo, Petropoulos Periklis

“…Nonlinear integrated photonics, which takes advantage of the strong field enhancement in integrated waveguides to boost the efficiency of nonlinear effects, has paved the way for the demonstration of cutting-edge applications. …”
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A Rapid Effervescent Route to Rational Activation of Cu/g‐C3N4 and bulk MoS2 Cocatalyst for Highly Efficient and Robust Photo‐Fenton Process by Wenxin Li, Chenjie Ding, Shifei Kang, Weikang Gao, Yang Yang, Lifeng Cui

“…Abstract Heterogeneous Fenton‐like process with a wide pH range is a promising alternative to traditional homogeneous Fenton reactions. …”
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Enhancing Text Classification Through Grammar-Based Feature Engineering and Learning Models by Alaa Mohasseb, Andreas Kanavos, Eslam Amer

“…Text classification remains a challenging task in natural language processing (NLP) due to linguistic complexity and data imbalance. …”
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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

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High-efficiency MPPT Using ZVS quasi-resonant converter and PSO algorithm: Simulation and PIL validation by Souhail Barakat, Abdelouahed Mesbahi, Badr N’hili, Ayoub Nouaiti, Mohcine Abouyaakoub

“…This paper presents the use of quasi-resonant converters for maximizing power extraction in residential photovoltaic (PV) applications, ensuring high efficiency and optimal energy quality. Quasi-resonant boost converters are implemented to optimize the power transfer process while minimizing switching losses and improving the overall performance of the system. …”
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Enhancing E-Recruitment Recommendations Through Text Summarization Techniques by Reham Hesham El-Deeb, Walid Abdelmoez, Nashwa El-Bendary

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Comparative analysis of NLP-driven MCQ generators from text sources by Asmae Azzi, Ferenc Erdős, Richárd Németh, Vijayakumar Varadarajan, Stephen Afrifa

“…The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. …”
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Enhancing the performance of Bi2O3–ZnO semiconductor bilayers for photoelectrochemical electrodes by strategically engineering oxygen vacancies by Yuan-Chang Liang, Po-Hsiang Wang

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