Genome-wide identification and functional characterization of LBD gene family in four Cymbidium species (Orchidaceae) and potential regulatory role of CsiLBD27 in floral developmen... by Yonglu Wei, Zengyu Lin, Jianpeng Jin, Wei Zhu, Jie Gao, Jie Li, Qi Xie, Chuqiao Lu, Genfa Zhu, Fengxi Yang

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Natural Teleology in Hume's "Sceptical Solution" by Jonathan Cottrell

“…However, it's hard to tell what account he means to offer: the text suggests various ideas about the source of induction's "authority", including utility, unavoidability, and reliability; it's not clear how to fit them together. …”
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Effects of <i>Marquandomyces marquandii</i> SGSF043 on the Germination Activity of Chinese Cabbage Seeds: Evidence from Phenotypic Indicators, Stress Resistance Indicators, Hormone... by Xu Zheng, Yuxia Huang, Xinpeng Lin, Yuanlong Chen, Haiyan Fu, Chunguang Liu, Dong Chu, Fengshan Yang

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Weak-Lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: I. Cluster Catalog, Selection Function and Mass--Observable Relation by Kai-Feng Chen, I-Non Chiu, Masamune Oguri, Yen-Ting Lin, Hironao Miyatake, Satoshi Miyazaki, Surhud More, Takashi Hamana, Markus M. Rau, Tomomi Sunayama, Sunao Sugiyama, Masahiro Takada

“…We use semi-analytical injection simulations to derive the selection function and the mass--observable relation of our sample. …”
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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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Mapping service capabilities using ISM and fuzzy DEMATEL by Tingting Li, Dan Lv, Davod Khosroanjom

“…Abstract In the present competitive landscape, small enterprises (SEs) must consistently strive to enhance and sustain their position by utilizing suitable capabilities. Recognizing such advancements is mostly linked to service capabilities and resources. …”
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Integrated Microbiology and Metabolomics Analysis Reveal Responses of Soil Bacterial Communities and Metabolic Functions to N-Zn Co-Fertilization in the Rhizosphere of Tea Plants (... by Min Lu, Yali Shi, Dandan Qi, Qiong Wang, Haowen Zhang, Ying Feng, Zhenli He, Chunwang Dong, Xiaoe Yang, Changbo Yuan

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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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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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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Secondly, renewable energy sources such as wind-solar-EV are integrated with the aforesaid systems for lowering fuel cost, emission, active power loss (APL), aggregated voltage deviation (AVD), voltage stability index (VSI) and also cost, emision, APL, AVD, VSI are reduced simultaneously considering different cases for multi-objective functions.Proposed sine-cosine algorithm (SCA) embedded with quasi-oppositional based learning (QOBL), known as QOSCA is used to balance the exploration and exploitation ability in order to overcome shortcomings and provide global optimal solutions. …”
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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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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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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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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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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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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…We identify a “functional hybridization–spatial permeability–usage sustainability” mechanism underlying renovation efficacy and recommend the community service center paradigm as a priority strategy. …”
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Assessment of Fresh Water Reallocation by Treated Wastewater for Irrigation by Mohammad A. Tabieh, Emad K. Al-Karablieh, Tala H. Qtaishat, Amer Z. Salman, Nael H. Thaher, Nehaya K. Al-Karablieh, Madi T. Al-Jaghbir, Tharaa M. Al-Zghoul, Ahmad I. Jamrah

“…Despite its potential to mitigate water scarcity, concerns about soil health, crop yield, and land utilization hinder widespread adoption. The research measures farm profitability and farmers' willingness to embrace TWW through various blending scenarios with traditional surface water sources, incorporating a yield response function to salinity within the profit function. …”
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