Absorption spectra of Nitrazine Yellow indicator. Experimental data and quantum chemical evaluations by Inna Khristenko, Volodymyr Ivanov

“…Quantum chemical modeling of electronically excited states is performed within the framework of time-dependent density functional theory (TD-DFT). A variety of approaches and basis sets are explored, particularly focusing on the B3LYP and CAM-B3LYP functionals. …”
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Navigating the Intersection of Microgrids and Hydrogen: Evolutionary Trends, Challenges, and Future Strategies by Bawantha Indrajith, Kosala Gunawardane

“…This review explores topological and functional-based classifications of microgrids, advancements in hydrogen generation, storage, and utilization technologies, and their integration with microgrid systems. …”
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Parallelization of Rainbow Tables Generation Using Message Passing Interface: A Study on NTLMv2, MD5, SHA-256 and SHA-512 Cryptographic Hash Functions by Mark Vainer, Arnas Kačeniauskas, Nikolaj Goranin

“…Rainbow table attacks utilize a time-memory trade-off to efficiently crack passwords by employing precomputed tables containing chains of passwords and hash values. …”
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Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

“…Conversely, alpha event-related synchronization (ERS) in the parietal and occipital regions, as well as ERS in the frontal, central, and temporal regions, were significantly lower in the experimental group compared to the control group. The source-functional connectivity results revealed that the primary differences between the experimental and control groups were concentrated between the left V1 and right V1, as well as among the posterior parietal cortex (PPC), dorsolateral prefrontal cortex (DLPFC), and primary motor cortex (M1). …”
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A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem by Sumathy Krishnan, Surendran Rajendran, Mohammad Zakariah

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Research on site selection and capacity determination problem based on improved particle swarm algorithm by Xiaotong Mi, Qinyang Liu, Bo Geng, Yong Zhu

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Optimizing performance and economic viability of combined energy systems: A novel energy hub framework by Dan Wang, Chenlin Ying

“…These findings highlight the novel contribution of the paper in enhancing the efficiency of energy hubs, improving flexibility, and supporting the integration of renewable resources for sustainable energy systems. The proposed optimization framework significantly enhances the economic efficiency of energy hubs by integrating renewable energy sources (RES) and demand response programs (DRPs). …”
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Isolation of globulin-enriched protein extracts from selected bamboo species using enhanced solvent extraction method: A comparative analysis of their physicochemical properties an... by Zile Xiao, Di Tian, Qiongfang Jiang, Jinlai Yang, Huimin Yang, Yue Zhang, Liangru Wu

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Physiochemical and functional properties of gelatin obtained from frigate mackerel (Auxis thazard), skipjack tuna (Katsuwonus pelamis), Longtail tuna (Thunnus tonggol) and yellowfi... by Qinghe Yin, Haohao Shi, Yongqiang Zhao, Gang Yu, Haohao Wu, Guanghua Xia, Tao Yang

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Identification of Proteins and Determination of Metal Contents in Two Kinds of Macrocybe lobayensis by SU Chunyue, LU Yaping, LI Shenman, GAN Zixia, CHEN Guangying, ZHAO Zhendong, HE Wenying

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Experimental Investigations on Repair and Permeability Reduction for Single Sandstone Fracture Using a Mixed CaCO₃ and Fe(OH)₃ Precipitate by Jinfeng Ju, Quansheng Li, Chenyu Wang, Yanan Fan

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云南主栽核桃品种仁及其油脂中功能组分分析Analysis of functional components in kernels and oil of major walnut cultivars in Yunnan by 耿树香，李勇杰，肖良俊 GENG Shuxiang, LI Yongjie, XIAO Liangjun

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Genome-Wide Identification and Expression Divergence of <i>CBF</i> Family in <i>Actinidia arguta</i> and Functional Analysis of <i>AaCBF4</i> Under Cold Stress by Sumei Li, Qina Zhang, Zhenzhen Zhang, Peng Zhang, Congcong Li, Leiming Sun, Jinbao Fang, Ran Wang, Feng Wei, Yukuo Li, Miaomiao Lin, Xiujuan Qi

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Root Endophytic Microorganisms Contribute to the Attribute of Full-Year Shooting in Woody Bamboo <i>Cephalostachyum pingbianense</i> by Lushuang Li, Bin Li, Qing Li, Lianchun Wang, Hanqi Yang

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Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation C... by Ahmad Aburayya

“…This essay looks at how the AR and resource-based supply value chain view may affect company performance across countries, firm sizes, and ages.…”
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Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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Classification and identification of medical insurance fraud:  a case-based reasoning approach by Xiaodi Liu, Shasha Zhang, Zengwen Wang, Shitao Zhang

“… Appropriate classification of medical insurance fraud events can not only be effective in preventing and combating fraud, but also greatly improve the utilization of medical resources. Due to the uncertainty inherent in medical insurance fraud, identifying and classifying the fraud are non-trivial tasks. …”
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From Agricultural Waste to Functional Tea: Optimized Processing Enhances Bioactive Flavonoid Recovery and Antioxidant Capacity with Multifaceted Health Benefits in Loquat (<i>Eriob... by Mingzheng Duan, Xi Wang, Jinghan Feng, Xu Xiao, Lingying Zhang, Sijiu He, Liya Ma, Xue Wang, Shunqiang Yang, Muhammad Junaid Rao

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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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