Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…To efficiently counter new malware variants, novel techniques distinct from conventional methods must be utilized. …”
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Facile Synthesis of Fluorescent Carbon Quantum Dots with High Product Yield Using a Solid-Phase Strategy by Haitao Ren, Fan Qi, Xiangbo Feng, Jiaxiang Liu, Yuzhen Zhao

“…The liquid-phase method is the most commonly utilized strategy for synthesizing fluorescent carbon quantum dots (CQDs). …”
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Electrochemical Direct Lithium Extraction: A Review of Electrodialysis and Capacitive Deionization Technologies by Jeongbeen Park, Juwon Lee, In-Tae Shim, Eunju Kim, Sook-Hyun Nam, Jae-Wuk Koo, Tae-Mun Hwang

“…In response, Direct Lithium Extraction (DLE) technologies have emerged as more efficient, eco-friendly alternatives. This review explores two promising electrochemical DLE methods: Electrodialysis (ED) and Capacitive Deionization (CDI). …”
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A Multiscale CNN-Based Intrinsic Permeability Prediction in Deformable Porous Media by Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers

“…The primary goal is to develop an efficient, machine learning (ML)-based method that overcomes the limitations of traditional permeability estimation techniques, which often rely on time-consuming experiments or computationally expensive fluid dynamics simulations. …”
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Knowledge-Grounded Attention-Based Neural Machine Translation Model by Huma Israr, Safdar Abbas Khan, Muhammad Ali Tahir, Muhammad Khuram Shahzad, Muneer Ahmad, Jasni Mohamad Zain

“…Experimental results on a different language pair DE-EN demonstrate that our suggested method is more efficient and general.…”
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Single-photon counting pixel detector for soft X-rays by Filippo Baruffaldi, Anna Bergamaschi, Maurizio Boscardin, Martin Brückner, Tim A. Butcher, Maria Carulla, Matteo Centis Vignali, Roberto Dinapoli, Simone Finizio, Erik Fröjdh, Dominic Greiffenberg, Aldo Mozzanica, Giovanni Paternoster, Nicholas W. Phillips, Jörg Raabe, Bernd Schmitt, Jiaguo Zhang

“…This detector is thoroughly characterized in terms of Signal-to-Noise Ratio and Detective Quantum Efficiency. We demonstrate its capabilities through ptychographic imaging at MAX IV 4th-generation synchrotron light source at the Fe L3-edge (707 eV), showcasing the enhanced detection performance of the system. …”
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Research Progress on Catalytic Conversion of Lignin to Chemicals by Xuezhi ZENG, Wenyu WANG, Minxian HUO, Yi QI, Xueqing QIU, Xuliang LIN, Yanlin QIN

“…Consequently, a significant challenge lies in developing efficient catalytic conversion strategies that can precisely control bond breaking and inhibit the polycondensation of reaction intermediates, enabling the efficient transformation of lignin into fine chemicals. …”
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Multifunctional Conductive Nanofibers for Self‐Powered Glucose Biosensors by Seda Gungordu Er, Rameesh Bulathsinghala, Selvinaz Burcu Kizilates, Bing Li, Rucchi Ryan, Tanveer A. Tabish, Ishara Dharmasena, Mohan Edirisinghe

“…Traditional biosensors face several limitations including limited sensitivity, enzyme instability, and dependency on external power sources. Addressing these issues, the study develops a novel multifunctional nanofiber integrating biosensor for glucose detection and a self‐powered motion sensor, utilizing an innovative triboelectric nanogenerator (TENG) system. …”
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Black Goji Berry Extract as a Natural Photosensitizer for Photodynamic Inactivation of Microbial Strains: A Promising Approach by Mahboobeh Akbarizare1*

“…Conclusion: While a sublethal photodynamic reaction was recorded in specific bacterial strains post-photodynamic inactivation utilizing BGBE, BGB exhibits potential as a natural source for innovative photosensitizers.…”

Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…Applied to the Rio Grande/Bravo Basin, this approach demonstrates the practical utility and computational efficiency of the proposed method, offering a scalable solution adaptable to various regions. …”
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The impact of venture capital financing on the long-term performance of startups: a managerial perspective by Vadim Limar

“… In this article the authors explore the effect of venture capital financing on long term performance of startups in the European Union by looking at the influence of managerial experience, efficiency of resource allocation and strategic usage of venture capital investment. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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Progress on the Classification, Characteristics and Food Industry Application of Microbial Proteases and Lipases by Yao ZHANG, Jiaxin WANG, Chanchan WEN, Jiayun HU, Xiaofeng LIU, Yuanfeng WU

“…This paper provides a theoretical reference to fully understand the applicability of various microbial proteases and lipases, improve their utilization efficiency and promote their application in food industry.…”
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ADVANCES IN THE DESIGN AND OPTIMIZATION OF SMART IRRIGATION SYSTEMS FOR SUSTAINABLE URBAN VERTICAL FARMING by Kuanysh Bakirov, Jamalbek Tussupov, Tamara Tultabayeva, Kadyrzhan Makangali, Gulzira Abdikerimova, Moldir Yessenova

“…A primary issue in these systems is the efficient management of critical resources, particularly water and energy, which are essential for maintaining high crop productivity and environmental sustainability. …”
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Performance and Optimization of Novel Solar-Assisted Heat Pump System with Hybrid Thermal Energy Storage by Chaojie Ren, Jie Lin, Nini Guo

“…The system can address the problems of large space requirements and the unstable heating of solar heating systems and tackle the energy-efficient degradation of air source heat pumps (ASHPs) in winter. …”
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Lifelong training program on QGIS tools for earth observation sciences in south-east Europe by Bashkim IDRIZI, Lyubka PASHOVA, Pal NIKOLLI

“… Earth Observation (EO) data are an indispensable source of useful geospatial information, which can be efficiently combined with other data within the latest released open-source QGIS software. …”
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Layered Operation Optimization Methods for Concentrated Solar Power (CSP) Technology and Multi-Energy Flow Coupling Systems by Chunchao Wu, Yonghong Zhao, Wulin Li, Jianjun Fan, Haixiang Xu, Dingkun Yuan, Zhongqian Ling

“…The principle and the main components of centralized solar power (CSP) generation technology are introduced, and a layered optimization method suitable for a multi-energy flow coupling system is discussed, which can realize collaboration between CSP and other renewable energy sources better and improve the operation efficiency and flexibility of the whole energy supply system.…”
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Hybrid system for water desalination and electricity generation powered by geothermal energy by Mohamed Shafick Zoromba, Mohamed Helmy Abdel-Aziz, Alaa Attar, M. Bassyouni, O.A. Al-Qabandi, Yasser Elhenawy

“…The system optimized resource utilization and enhanced overall efficiency by combining geothermal heat with advanced desalination technologies and power generation processes. …”
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Application of bentonite-chitosan nanocomposites for the adsorptive removal of iron and natural organic matter in peat water by Edwin Permana, M. Naswir, Dhian Eka Wijaya, Ali Nurdin Hidayat, Dimas Setya Nurjamil, Andrian Setyarestu Prayogi

“…Peat water, commonly found in peatland regions, often poses a challenge as a water source due to its high content of iron and natural organic matter (NOM). …”
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Internet of Things and Distributed Computing Systems in Business Models by Albérico Travassos Rosário, Ricardo Raimundo

“…IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. …”
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