Sustainability in pharmaceutical analysis: greenness assessment of HPLC methods for paclitaxel by Ruchita Rajput, Sonal Desai

“…Abstract Sustainability in pharmaceutical analysis is gaining significant attention, driven by global initiatives to reduce environmental impact and enhance operational efficiency. This study evaluates the greenness of HPLC-based methods for paclitaxel quantification using seven assessment tools: NEMI, Complex NEMI, Analytical Eco-Scale, SPMS, ChlorTox, RGBfast, and BAGI. …”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

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Energy efficiency decision-making in non-energy intensive industries: content and social network analysis by Jonatas Campos Martins, Maria Isabel Wolf Motta Morandi, Daniel Pacheco Lacerda, Barbara Pisoni Bender Andrade

“…Originality Identifies authors and connections, the relationships between them and how these interactions contribute to the advancement of knowledge on the subject. Regarding energy efficiency, studies show that the real investment in initiatives in the industrial sector is below the full potential and that the artifacts used in the decision-making process have severe limitations when used in a complex and dynamic context. …”
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PLL-VO： An Efficient and Robust Visual Odometry Integrating Point-Line Features and Neural Networks by L. Zhao, Y. Yang, D. Ma, X. Lin, W. Wang

“…After selecting keyframes based on point feature counts and line feature overlap angles, we integrate convolutional neural networks (CNNs) and graph neural networks (GNNs) to enhance sparse matching, thereby improving both accuracy and computational efficiency. …”
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An enhanced GhostNet model for emotion recognition: leveraging efficient feature extraction and attention mechanisms by Jie Sun, Tianwen Xu, Yao Yao

“…The EGT model integrates GhostNet's efficient feature extraction, the Transformer's ability to capture global context, and a dual attention mechanism to selectively enhance critical features. …”
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Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization by Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv

“…Despite its importance, feature selection remains a complex issue without straightforward solutions, and various approaches using AI and evolutionary algorithms have been proposed to tackle it. …”
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Creating and Validating Hybrid Large-Scale, Multi-Modal Traffic Simulations for Efficient Transport Planning by Fabian Schuhmann, Ngoc An Nguyen, Jörg Schweizer, Wei-Chieh Huang, Markus Lienkamp

“…Mobility digital twins (MDTs), which utilize multi-modal microscopic (micro) traffic simulations and an activity-based demand generation, are envisioned as flexible and reliable planning tools for addressing today’s increasingly complex and diverse transport scenarios. Hybrid models may become a resource-efficient solution for building MDTs by creating large-scale, mesoscopic (meso) traffic simulations, using simplified, queue-based network-link models, in combination with more detailed local micro-traffic simulations focused on areas of interest. …”
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IT Outsourcing Vendor Selection for Digital Transformation Projects in Public Sector using Interval-Valued Spherical Fuzzy AHP by Murat Levent Demircan

“…Consequently, determining the selection criteria of the outsourcing companies that will take part in digital transformation projects in the public sector and the selection methodology to be applied is of great importance. …”
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Engineered Magnetic-Functionalized Carbon Xerogels for Sustainable Arsenic Removal: Bridging Adsorption Efficiency with Regenerability by Sasirot Khamkure, Prócoro Gamero-Melo, Audberto Reyes-Rosas, Alejandro Zermeño-González, José Luis Álvarez-Cruz, Elim Albiter Escobar, Gabriela Eleonora Moeller-Chávez, Victoria Bustos-Terrones

“…Synergistic effects of magnetite incorporation, tailored pyrolysis, and H₂O₂ modification significantly improved arsenic selectivity and capacity in complex matrices, while enabling magnetic recovery.…”
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Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning by Ramya Jonnala, Jeong Yang, Young Lee, Gongbo Liang, Zechun Cao

“…Based on its promising performance with CoT prompting, we selected the GPT-4o-Mini model for subsequent fine-tuning, aiming to further enhance both its computational efficiency and accuracy. …”
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Unconventional phase metal heteronanostructures with tunable exposed interface for efficient tandem nitrate electroreduction to ammonia by Yangbo Ma, Liang Guo, Liang Chang, Weihua Guo, Tao Zhou, Fengkun Hao, Wenda Su, Jingwen Zhou, Guozhi Wang, Mingzheng Shao, Jihan Yu, Jinwen Yin, Yunhao Wang, Fu Liu, An Zhang, Kun Qian, Jie Wang, Xiuyun Zhang, Weijia Zhou, Shengqi Chu, Chongyi Ling, Lin Gan, Zhengxiao Guo, Zhanxi Fan

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A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection by Burak Gülmez

“…The selection of optimal drying technologies for peach processing presents a complex decision-making challenge due to multiple conflicting criteria. …”
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Performance validation of microchannel heat sinks based on single/multiobjective topology optimization and manufactured by selective laser melting by Guangzhao Yang, Mingxuan Cao, Pingnan Huang, Linlin Pan, Xin Zhong, Liang Yang, Weiwei Guo, Matthew M.F. Yuen, Huijun Li

“…This study confirms that the P3D-MOTO provides efficient and energy-saving thermal management solutions, while emphasizing that the integration of topology optimization with SLM can create complex geometries, thereby enhancing thermal performance.…”
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The Optimal Acoustic Measurement Point Selection for UHV Reactors in Substations Based on Equivalent Impedance and Information Entropy Theory by Yingwen Li, Zhen Wei, Huilian Liao, Lin Li, Peizhong Zhang, Jingyun Zhao

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Radar Scattering Analysis of Multi-Scale Complex Targets by Fast VSBR-MoM Method in Urban Scenes by Zhou Cong, Jihong Gu, Ying Zhang, Jie Yang, Dazhi Ding

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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…In this vein, optimal conductor size selection and phase balancing are among the most common strategies for improving these indicators, which involves dealing with complex optimization problems. …”
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Principles of physical factor selection in the early postoperative period of breast cancer treatment: a randomized controlled study by Inna S. Evstigneeva

“…To develop algorithms for selecting physical factors depending on the clinical and functional state of patients after radical surgical treatment of breast cancer (BC) in the early postoperative period. …”
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Synthetic graphs for link prediction benchmarking by Alexey Vlaskin, Eduardo G Altmann

“…Predicting missing links in complex networks requires algorithms that are able to explore statistical regularities in the existing data. …”
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Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning by Kang Xu, Zhengming Sun, Jian Tu, Wenwang Wu, Huihui Yang

“…Multi-principal element alloys (MPEAs), distinguished by their complex compositions and exceptional mechanical properties, pose significant challenges for conventional predictive approaches in mechanical property optimization. …”
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Multicarrier dual-index permuted chaos shift keying system for efficiency improvement in chaotic communications by Bavatharani Gurusamy, Laxmikandan Thangavelu, Manimekalai Thirunavukkarasu

“…The proposed system improves the energy andspectrum efficiencies with a tradeoff in computational complexity. …”
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