Continuous Monitoring of Recruits During Military Basic Training to Mitigate Attrition by Robbe Decorte, Jelle Vanhaeverbeke, Sarah VanDen Berghe, Maarten Slembrouck, Steven Verstockt

“…Attrition, or the voluntary departure of recruits from the military, often results from physical and psychological challenges, such as fatigue, injury, and stress, which lead to significant costs for the military. To better understand and mitigate attrition, we designed and implemented a comprehensive and continuous data-capturing methodology to monitor 63 recruits during their basic infantry training. …”
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Exploring Gelatin‐A and Mouse Proline‐Rich Protein 5 as Probes for Wine Polyphenol Analysis by Quartz Crystal Microbalance with Dissipation Monitoring by Giorgia Tori, Mariacristina Gagliardi, Francesco Lunardelli, Chiara Sanmartin, Isabella Taglieri, Gianmarco Alfieri, Margherita Modesti, Domenica Convertino, Andrea Bellincontro, Fabio Mencarelli, Marco Cecchini

“…Traditionally, the wine polyphenolic content is assessed through conventional analytical methods, which are costly and time‐consuming. Thus, developing novel strategies to overcome these limitations is highly desirable. …”
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Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines by George Dimitriadis, Ella Svahn, Andrew F MacAskill, Athena Akrami

“…Heron supports the integration of software and hardware combinations that are otherwise too complex or costly, making it especially useful in experimental sciences with a large number of interconnected components such as robotics, neuroscience, behavioural sciences, physics, chemistry, and environmental sciences. …”
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Legged Robot with Tensegrity Feature Bionic Knee Joint by Qi Wen, Meiling Zhang, Jianwei Sun, Weijia Li, Jinkui Chu, Zhenyu Wang, Songyu Zhang, Luquan Ren

“…However, the focus on continuously improving the joint motors and control systems of existing legged robots not only increases costs and complicates maintenance but also results in failure to accurately mimic the functionality of the human skeletal‒muscular system. …”
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Characterisation of Organomineral Fertilisers Derived from Nutrient-Enriched Biosolids Granules by Diogenes L. Antille, Ruben Sakrabani, Sean F. Tyrrel, Minh S. Le, Richard J. Godwin

“…This research utilises novel technology to improve the fertiliser value of biosolids, reduce disposal costs, and deliver a range of environmental benefits associated with recycling.…”
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BlockArc: A Blockchain Based Smart Contract for Reward System in E-Commerce by Pooja Patil, Aryan Singh, Aryan Raut, Aakash Sharma, Adarsh Rathod

“…A performance evaluation demonstrated 112 transactions per second (TPS) under moderate load, fraud detection accuracy of 100%, and a 37% reduction in operational costs by eliminating intermediaries. User satisfaction surveys indicated high levels of trust and transparency. …”
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How does environmental tax reform drive corporate innovation to green technologies? Quasi-natural experimental evidence from China by Hui Hu, Yuqi Zhu, Lin Ye, Yulong Wang

“… How to motivate enterprises to formulate green technology (GT) innovation is crucial for promoting green development and minimizing pollution control costs. This research employs a quasi-experimental approach to analyze the impact of environmental tax reform (ETR) on corporate innovation decisions. …”
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Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method by Zengxin Guan, Kaijun Ren, Senliang Bao, Hengqian Yan, Huizan Wang, Yanlai Zhao, Jianbin Liu

“…Currently, the mixed layer depth (MLD) is estimated using in-situ observations or model data, both of which are costly and resource-intensive. This study develops a clustering estimation model utilising multisource ocean data to enable faster and more accurate MLD estimation. …”
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Large language models for PHM: a review of optimization techniques and applications by Tingyi Yu, Junya Tang, Qingyun Yu, Li Li, Ying Liu, Raul Poler

“…Second, we investigate Parameter Efficient Fine-Tuning (PEFT) techniques that allow industry-specific adaptation without prohibitive computational costs. Multi-modal capabilities extending LLMs beyond text to process sensor data, images, and time-series information are also discussed. …”
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Coupling Relationship Between Transportation Corridors and Ecosystem Service Value Realization in Giant Panda National Park by Lulin Liu, Renna Du, Qian Mao, Gaoru Zhu, Hong Zhong

“…TCs not only increase the market ESV by reducing distribution costs and facilitating the outward flow of ESV, they also improve the accessibility of national parks, promote ecotourism and cultural services, facilitate the movement of people and the exchange of knowledge, and enhance the ability of local populations and migrants to realise the ESV in the long term. …”
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Improving Efficiency of Rolling Mill Stand Electric Drives Through Load Alignment by Stanislav S. Voronin, Andrey A. Radionov, Alexander S. Karandaev, Roman A. Lisovsky, Boris M. Loginov, Mark A. Zinchenko, Vadim R. Khramshin, Ivan N. Erdakov

“…The prospects of this research include the optimization of high-speed and high-load electric drive modes to reduce the energy costs of rolling and the development of an LDC based on fuzzy logic algorithms.…”
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AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks by A. Ur Rehman, Laura Galluccio, Giacomo Morabito

“…Addressing these limitations requires an energy-efficient design to ensure network survivability, reliability, and reduced operational costs. This paper proposes an artificial intelligence-driven framework aimed at enhancing energy efficiency and sustainability in applications of marine wildlife monitoring in underwater sensor networks, according to the vision of implementing an underwater acoustic sensor network. …”
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A new advanced third-order sliding mode control with adaptive gain adjustment using fuzzy logic technique for standalone photovoltaic systems by Nesrine Cherigui, Abdelkarim Chemidi, Ahmed Tahour, Mohamed Horch

“…The nonlinear behavior of photovoltaic (PV) panels, coupled with their strong dependence on atmospheric conditions, necessitates efficient maximum power point tracking (MPPT) techniques to maximize power extraction, reduce costs, and enhance overall system efficiency. The output power of a PV panel is significantly influenced by current-voltage (I-V) and power-voltage (P-V) characteristics, as well as variations in solar irradiance and temperature. …”
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Genome-Wide Association Analysis and Genomic Selection for Growth Traits in Grass Carp (<i>Ctenopharyngodon idella</i>) by Yuxuan Chen, Qiaozhen Yu, Wenyao Lv, Tao Sheng, Lang Gui, Junqiang Qiu, Xiaoyan Xu, Jiale Li

“…Our findings not only advance genetic breeding strategies but also inform protein diet optimization, minimizing economic and environmental costs in aquaculture.…”
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Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

“…This can bring down service costs and further protect the environment. There has been plenty of research that was conducted for reducing consumption of energy in Wireless Sensor Network (WSN) and fog computing, primarily focusing on the optimization techniques. …”
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ELECTRIC BIKES FOR GREEN MOBILITY IMPROVEMENT IN GILI IYANG, MADURA by Yoga Uta Nugraha, Muhammad Syahril Mubarok, Retna Apsari

“…For recharging electric bicycles, a solar shelter is provided, which helps save transportation costs. Training is provided through theoretical and practical materials. …”
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First Birth after Sperm Selection through Discontinuous Gradient Centrifugation and Artificial Insemination from a Chromosomal Translocation Carrier by Alexandre Rouen, Capucine Hyon, Richard Balet, Nicole Joyé, Nino Guy Cassuto, Jean-Pierre Siffroi

“…Before this, the only two options were natural conception with prenatal diagnosis and termination of chromosomally unbalanced fetuses or preimplantation genetic diagnosis, which is a much heavier and costly procedure. We are currently offering this option through a multicentric program in France, and this is the first birth originating from it.…”
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Modeling, optimization, and thermal management strategies of hydrogen fuel cell systems by Abubakar Unguwanrimi Yakubu, Liu Qingsheng, Meng Kai, Chen Jinwei, Omer Abbaker Ahmed Mohammed, Jiahao Zhao, Qi Jiang, Xuanhong Ye, Junyi Liu, Qinglong Yu, Muhammad Aurangzeb, Shusheng Xiong

“…However, widespread adoption is limited by technical challenges, including efficiency losses from activation and mass transport overpotentials, thermal instability under transient loads, and high system and hydrogen production costs. Traditional static modeling approaches struggle to capture the real-time, coupled dynamics of PEMFCs in practical scenarios. …”
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A suppression-modification gene drive for malaria control targeting the ultra-conserved RNA gene mir-184 by Sebald A. N. Verkuijl, Giuseppe Del Corsano, Paolo Capriotti, Pei-Shi Yen, Maria Grazia Inghilterra, Prashanth Selvaraj, Astrid Hoermann, Aida Martinez-Sanchez, Chiamaka Valerie Ukegbu, Temesgen M. Kebede, Dina Vlachou, George K. Christophides, Nikolai Windbichler

“…Homozygous gene drive (miR-184D) individuals incur significant fitness costs, including high mortality following a blood meal, that curtail their propensity for malaria transmission. …”
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Development of an integrated care pathway for the prevention and management of biopsychosocial frailty in community-dwelling older adults in Italy: The PDTCP model by Giuseppe LIOTTA, Edoardo TREBBI, Francesco MONDERA, Ferdinando ROMANO, Maddalena ILLARIO, Michele BISOGNO, Edoardo CARNEVALE, Michele TREGLIA, Igina D’ANTONI, Clara DONNOLI, Fabio RICCARDI, Paola SCARCELLA

“…Italy, among the oldest countries in Europe, faces increasing healthcare costs and a high burden of chronic conditions in the elderly. …”
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