High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

“…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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Microplastics in Museums: Pollution and Paleoecology by Christine C. Gaylarde, Estefan M. da Fonseca

“…Such research studies, and potential similar investigations on historical stored tissue samples, require optimization before the information stored in these sources can be fully mined. …”
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Identification of Spatial Conflict Between Construction Land Expansion and Ecological Land Use in Urumqi by MA Yanjie, YIN Huihui, WANG Shanshan, WANG Juanjuan, TIAN Liulan, WU Zhaopeng

“…[Methods] Based on the land use data of Urumqi city in 2000, 2010 and 2020, the spatial conflict between construction land expansion and ecological land use in Urumqi city was analyzed by using the attitude of land use dynamics, the speed and pattern of construction land expansion, identifying ecological sources and constructing a spatial pattern of ecological security. …”
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Hosting capacity in smart distribution systems using OpenDSS tool and Monte Carlo-based methodology by Masic Fatima, Saric Mirza, Hivziefendic Jasna, Dzemic Zijad

“…A considerable increase of the circuit losses is recorded if the optimal penetration of PV is exceeded. The main contribution of this work is the development, testing and implementation of the HC estimation method in complex power systems using open-source tools and integrating them in an innovative fashion. …”
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Digital Technologies in the Financial sector: Evolution and Major Development Trends in Russia and Abroad by D. A. Artemenko, S. V. Zenchenko

“…The research is based on the analysis of data provided by international consulting companies, analytical centers, and official data sources of the Central Bank (Bank of Russia). The authors apply methods such as comparative research, empirical, logical, graphical, analysis, interpretation, and comparison. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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A Target Near-Field Scattering Measurement Technique Utilizing 3D Near-Field Imaging via Cylindrical Scanning by Zongkai Yang, Jingcheng Zhao, Weikang Si, Changyu Lou, Xin Zhao, Jungang Miao

“…Ultimately, accurate calculations are performed utilizing backpropagation (BP) in time domain algorithms. This method significantly reduces the computational burden while maintaining imaging accuracy by integrating rapid scattering source extraction with precise computation for critical regions. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…However, technical challenges exists such as complex pipeline networks, multi-source interference, and full-lifecycle management. …”
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Valorization of wood waste for enhanced polyhydroxybutyrate production by Klebsiella sp. MK3 by Mukesh Kumar, Rohan Samir Kumar Sachan, Arun Karnwal, Dharmesh Sur, Rahul Thakur, Abhinav Kumar, Sathiyamoorthy Manickkam, Abinet Gosaye Ayanie, Hamad Almujibah

“…Wood waste, treated with 4% sulfuric acid, served as the carbon source for isolating bacteria from Jalandhar waste streams, with the strain Klebsiella sp. …”
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Control Strategy for Power Fluctuation Smoothing at Distribution Network Substations Considering Multiple Types of Adjustment Resources by Shaobo Yang, Xuekai Hu, Liang Meng, Shiwei Xue, Hao Zhou, Fengming Shi, Siyang Liao

“…In the day-ahead stage, traditional voltage regulation devices such as the OLTC (on-load tap changer) and CB (circuit breaker) are pre-dispatched based on source–load forecasts, optimizing the fluctuation range of substation power and the number of device operations. …”
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Micropropagation of Rare Endemic Species <i>Allium microdictyon</i> Prokh. Threatened in Kazakhstani Altai by Damelya Tagimanova, Olesya Raiser, Alevtina Danilova, Ainur Turzhanova, Oxana Khapilina

“…Mature seeds of <i>A. microdictyon</i> collected from natural habitats in the Kazakhstani Altai were used as explants. Optimization of seed sterilization methods, selection of growth regulators for inducing adventitious shoot formation and microclonal propagation, and optimization of conditions for adaptation of regenerants to ex vitro conditions were carried out. …”
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Solar Energy Harvesting and Management in Wireless Sensor Networks by Muhammad Mazhar Abbas, Mohamed A. Tawhid, Khalid Saleem, Zia Muhammad, Nazar Abbas Saqib, Hafiz Malik, Hasan Mahmood

“…Wireless networks comprise of small devices that are typically deployed in environments where paucity of energy seriously restricts essential operations. The energy source of these devices decreases very quickly during continuous operation and it is pivotal to replace or recharge frequently the power sources. …”
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Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study by Océane Dorémus, Dylan Russon, Benjamin Contrand, Ariel Guerra-Adames, Marta Avalos-Fernandez, Cédric Gil-Jardiné, Emmanuel Lagarde

“…Achieving notable performance metrics, Mistral 7B operates effectively without requiring high-end computational resources. These methods pave the way for a broader availability of pseudonymized clinical texts, enabling their use for research purposes and the optimization of the health care system.…”
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U-Pb age characteristics of detrital zircon and provenance analysis of a Middle Miocene submarine fan in the Qiongdongnan Basin by Shengli GONG, Zhuoyu YAN, Baiqiang LI, Tongyao ZHANG, Turong WU, Junfeng PENG, Lei ZHENG, Dongfeng ZHANG, Xiangsheng HUANG, Chengfei LUO, Ren WANG

“…Methods In this paper, the detrital zircon U-Pb age spectrum characteristics of drilling cores from the middle Miocene submarine fan in the Qiongdongnan Basin were analysed and compared with the U-Pb ages of zircons from potential provenance areas to determine the source of submarine fans in the study area. …”
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Quantum-Inspired Control Strategies for Reducing DC-Link Voltage Fluctuations in DFIG Wind Energy Converters by Sarika Shrivastava, Saifullah Khalid, Dinesh Kumar Nishad

“…This superposition-based optimization explores multiple solution spaces in parallel, achieving 40-50% faster convergence than classical methods. …”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…By seamlessly fusing these two diverse sources of information, the resultant combined features exhibit heightened discrimination capabilities and significantly bolster the robustness of image features. …”
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Thermochemical and biochemical conversion of agricultural waste for bioenergy production: an updated review by Hafiz Muhammad Aamir Shahzad, Zukhruf Asim, Sher Jamal Khan, Fares Almomani, Khaled A. Mahmoud, Muhammad Raza Ul Mustafa, Kashif Rasool

“…This review explores the potential of advanced biomass conversion technologies, with a focus on thermochemical and biochemical processes as key methods for optimizing agricultural waste management strategies. …”
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Advances in Coking Wastewater Treatment and Zero Discharge Technology by Huaqiang CHU, GLADYS Chimfwembe, Pengyuan WEI, Jie XU, Guihong SHUI, Jiaying MA, Xuefei ZHOU, Yalei ZHANG

“…In recent years, considerable attention has been directed towards developing more efficient methods for treating coking wastewater. This review provides a comprehensive overview of current advancements in coking wastewater treatment technologies, focusing on their sources, characteristics, pretreatment technologies, biochemical treatments, and advanced treatment technologies. …”
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How can green finance promote the synergistic development of agricultural ecological environment and productivity? by Liangcan Liu, Xiang Li, Kaichao Li

“…IntroductionBy maintaining soil health and optimizing water resources management, agricultural ecological total factor productivity (AETFP) builds a basic defense line of safe food supply and environmental balance, effectively reduce the spread of chemical pollution and improve the quality of nutrition supply, thus providing a strategic fulcrum for the management of public health sources.MethodsBased on the provincial panel data of China from 2012 to 2022, AETFP was estimated using EBM-GML model by incorporating the agricultural ecological value into the desirable output, and the influence mechanism of green finance on the AETFP was discussed by using fixed effect model and spatial econometric model.ResultsThe AETFP in all regions of China was steadily improving, especially in the eastern region. …”
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Impact of Various Extraction Technologies on Protein and Chlorophyll Yield from Stinging Nettle by Simon Dirr, Özlem Özmutlu Karslioglu

“…Stinging nettle (<i>Urtica dioica</i> L.) has gained attention as a sustainable protein source due to its rich bioactive compound profile and medicinal properties, but research on optimizing its protein extraction remains limited. …”
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