Efficient Production of N-Acetyl-β-D-Glucosamine from Shrimp Shell Powder Using Chitinolytic Enzyme Cocktail with β-N-Acetylglucosaminidase from Domesticated Microbiome Metagenomes... by Xiuling Zhou, Yang Huang, Yuying Liu, Delong Pan, Yang Zhang

“…The development of an enzymatic conversion method that does not require the pretreatment of seafood waste is essential for the efficient and clean production of GlcNAc. In this study, the annotated metagenomic assembly data of domesticated microbiota (XHQ10) were analyzed to identify carbohydrate-active enzymes (CAZymes), and an in-depth analysis of the high-quality genome FS13.1, which was obtained from metagenomic binning, was performed; this enabled us to elucidate the catabolic mechanism of XHQ10 by using shrimp shell chitin as a carbon and nitrogen source. …”
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Synchronizing livestock metabolism with feeding schedules: Advancing sustainable animal husbandry practices by Moyosore Joseph Adegbeye, Yeni Widiawati, Babatunde Oluwafemi Adetuyi, Tatan Kostaman, Eko Handiwirawan, Adeola Ojugbele, Mona M.M.Y. Elghandour, Maximilian Lackner, Ravikanth Reddy Poonooru, Abdelfattah Z.M. Salem

“…Misalignment with the central biological clock disrupted metabolism, reproductive efficiency, and animal welfare. Evening feeding improved nutrient digestibility, milk yield, and metabolic efficiency while reducing heat stress parameters in tropical climates. …”
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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…The goal is to break through the technical and managerial bottlenecks of traditional O&M models and achieve efficient, precise, and sustainable O&M system. [Method] By integrating multi-source heterogeneous data and building a multi-layer architecture, the system enables real-time equipment status monitoring and degradation trend analysis, significantly improving data utilization and fault identification capabilities. …”
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Performance Analysis of a Micro-Photovoltaic Concentrator Designed for Automotive Applications by Salima El Ayane, Ali Ahaitouf

“…The goal of this innovative design is not only to maximize energy output in urban conditions, ensuring efficient solar utilization despite shading challenges, but also to maintain a compact, lightweight structure suitable for installation on vehicle rooftops and competitive with ordinary PV panels. …”
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The Comprehensive Regulation of Light Intensity and Photoperiod on Growth and Yield of Virus-Free Potato Under the Same Daily Light Integral by Song Chen, Dingcheng Wang, Jiating Lin, Zhigang Xu

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Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach by Reza Rasinojehdehi, Seyyed Najafi

“…In the initial phase, DEA cross-efficiency measures risk factors derived from Failure Modes and Effects Analysis (FMEA). …”
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A Comprehensive Approach to Nearly Zero Energy Buildings and Districts: Analysis of a Region Undergoing Energy Transition by Georgios Martinopoulos, Alexandros Tsimpoukis, Vasileios Sougkakis, Petros Dallas, Komninos Angelakoglou, Paraskevi Giourka, Nikolaos Nikolopoulos

“…It includes a neighborhood of 105 mixed-use properties and two municipal buildings where a range of renewable energy sources and energy efficiency measures are applied. …”
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CMS systems in rapeseed and their use in the breeding of domestic hybrids by I. N. Anisimova, A. G. Dubovskaya

“…Development of heterotic hybrids is the most efficient approach to solve the problem of increasing the yield of rapeseed (Brassica napus L.), a leading oilseed crop. …”
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SUSTAINABLE DEVELOPMENT OF RENEWABLE ENERGY IN SHIPPING: TECHNOLOGICAL AND ENVIRONMENTAL PROSPECTS by Oleksiy MELNYK, Mykola BULGAKOV, Oleksij FOMIN, Svitlana ONYSHCHENKO, Oleg ONISHCHENKO, Igor PULYAEV

“…This study focuses on exploring the use of renewable energy to mitigate emissions and enhance energy efficiency on board ships. Hence, technologies for capturing, utilizing, and storing solar, wind, and carbon energy are investigated. …”
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DeepSeek vs. ChatGPT: prospects and challenges by Inhye Jin, Jonathan A. Tangsrivimol, Jonathan A. Tangsrivimol, Erfan Darzi, Hafeez Ul Hassan Virk, Zhen Wang, Zhen Wang, Jan Egger, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Markus Strauss, Chayakrit Krittanawong

“…DeepSeek has introduced its recent model DeepSeek-R1, showing divergence from OpenAI’s ChatGPT, suggesting an open-source alternative to users. This paper analyzes the architecture of DeepSeek-R1, mainly adopting rule-based reinforcement learning (RL) without preliminary supervised fine-tuning (SFT), which has shown better efficiency. …”
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Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad by Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda

“…The data, sourced from the Chad weather station for the period 2013–2023, was used to train the models. …”
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DenseNet-Enabled Intelligent Ship Energy Consumption Prediction Method with Navigation Information and Environmental Factors by Gulashan Tang, Rui Luo, Bin Huang, Xiang Li, Hui Ma

“…As a crucial procedure, ship energy consumption prediction is of great significance for the implementation of navigation planning, energy efficiency improvement, and emission reduction strategies. …”
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Spatial Characteristics and Driving Mechanisms of Carbon Neutrality Progress in Tourism Attractions in the Qinghai–Tibet Plateau Based on Remote Sensing Methods by Bing Xia

“…Data envelopment analysis and econometric models are utilized to assess the “carbon emissions–carbon sinks–economic output” coupling efficiency relationship and driving mechanism under the framework of the tourism carbon neutrality process. …”
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Introducing Cu(II) onto SiO₂-TiO₂ with Rice Husk Ash as the Source of Silica and Its Catalytic Activity for Kumada Cross-coupling Reaction to Produce Biphenyl... by Dewi Agustiningsih, Nuryono Nuryono, Sri Juari Santosa, Eko Sri Kunarti

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Adaptive bayesian sparse polynomial chaos expansion for voltage balance of an isolated microgrid at peak load by Sunil Kumar, Rashmi Agarwal, Harivardhagini Subhadra

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Computational work of casson rheology on 3D swirling plate employing yamada-ota and xue models by Jabr Aljedani, Hakim AL Garalleh, Umar Nazir, Muhammad Sohail, Ibrahim Mahariq, Abd Allah A. Mousa, Afnan Al Agha

“…Thermal energy incorporates solar radiation, Soret and heat sources while transportation of species happens utilizing activation energy and Dufour impact. …”
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Characteristics of Soil Dissolved Organic Matter Structure in Albi-Boric Argosols Profiles Through Straw Incorporation: A Fluorescence Spectroscopy Study by Baoguo Zhu, Enjun Kuang, Qingying Meng, Haoyuan Feng, Miao Wang, Xingjie Zhong, Zhichun Wang, Lei Qiu, Qingsheng Wang, Zijie Wang

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Exploration and research progress on the integrated technology of coalbed methane development, gas control, and methane emission reduction by Shuxun SANG, Honggao XIE, Zhihua YAN, Shiqi LIU, Xiaozhi ZHOU, Sijie HAN, Sijian ZHENG, Fansheng HUANG

“…Given the “triple” attributes of coal methane as an energy source, a disaster gas, and a greenhouse gas, developing integrated technologies for its development, management, and emission reduction is vital to enhance efficient production and utilization and ensure energy, production, and ecological security. …”
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Hybrid energy harvesting using piezoelectric footsteps and solar panels to ensure clarity by O. Hussein, Waleed K．S．Al-jumaili, Faiz F．Mustafa, Esraa Al−Ali, Marwa A Mohammed

“…The DC-to-DC appliance eliminates the complexities associated with battery charging and inverter conversion, resulting in 100 % efficiency in power transmission from its source.…”
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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…An attention mechanism further refines the model’s focus by dynamically weighting the significance of different input features for efficient yield prediction. We trained the MHRA-MS-3D-ResNet-BiLSTM model using multi-source RS datasets from 2019 and 2020 and evaluated its performance with U.S. soybean yield data for 2021 and 2022. …”
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