A dual-method approach integrating dynamic QCA and LightGBM-SHAP algorithms to uncover the configuration paths and key drivers of water resource green efficiency in China by Naiming He, Rijia Ding

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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…Notably, gRNA variation in editing efficiency underscored the importance of pre-screening guide RNAs before stable transformation. …”
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Innovative Solutions to the Fractional Diffusion Equation Using the Elzaki Transform by Saima Noor, Albandari W. Alrowaily, Mohammad Alqudah, Rasool Shah, Samir A. El-Tantawy

“…Thus, by utilizing the mighty powers of fractional calculus, we employ the variational iteration method (VIM) with the Elzaki transform to produce highly accurate approximations for these specific differential equations. …”
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A Planet Candidate Orbiting near the Hot Jupiter TOI-2818 b Inferred through Transit Timing by Brendan J. McKee, Benjamin T. Montet, Samuel W. Yee, Joel D. Hartman, Joshua N. Winn, Jorge H. C. Martins, André M. Silva, Alexander L. Wallace

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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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An innovative coverage optimization method for smart information monitoring in agricultural IoT using the multi-strategy Pelican optimization algorithm by Wei Chen, Qike Cao, Bingyu Cao, Bo Jin

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Analysis on APF Calculation Problem Caused by the Optional Method to Obtaining Performance Parameters of Low-temperature Intermediate Refrigeration Condition in GB 21455—2019 by Chen Xuancheng, Zhuang Dawei, Ding Guoliang, Yu Yuefeng, Cheng Jianhong, Wu Guoming

“…The test method given in the national standard causes a variation in energy efficiency under rated intermediate cooling conditions, contrary to the variation in the calculated APF value, which is not reasonable. …”
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Unveiling quantum phase transitions from traps in variational quantum algorithms by Chenfeng Cao, Filippo Maria Gambetta, Ashley Montanaro, Raul A. Santos

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Application of the variation operator in a genetic algorithm for the synthesis of fuzzy controllers by I. V. Kulikova

“…This article studies the problem of increasing the efficiency of fuzzy controller synthesis in a control system using a genetic algorithm. …”
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Variation analysis of fruit traits of jujube seedlings and screening of excellent germplasm by JI Yinzhong, CHEN Youfu, YAN Fenfen, WANG Jiurui, LIU Mengjun

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A Single-End Location Method for Small Current Grounding System Based on the Minimum Comprehensive Entropy Kurtosis Ratio and Morphological Gradient by Jiyuan Cao, Yanwen Wang, Lingjie Wu, Yongmei Zhao, Le Wang

“…To address the challenge that traditional single-end positioning methods experience when identifying the reflected wave head and that the adaptability of wave head calibration methods is typically limited, a single-end location method of modulus wave velocity differences based on marine predator algorithm optimized multivariate variational mode decomposition (MVMD) and morphological gradient is proposed. …”
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Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation by Daniel Alcalde Puente, Matteo Rizzi

“…This work introduces a self-learning protocol that incorporates measurement and feedback into variational quantum circuits for efficient quantum state preparation. …”
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Mapping variation in dual use risk assessments of synthetic biology projects by Daniel Greene, Tessa Alexanian , Megan J. Palmer , Megan J. Palmer 

“…By studying the process of DURC risk assessment, it may be possible to develop methods that are more consistent, accurate, and cost-effective.MethodsUsing a modified version of the framework in the Companion Guide to the United States Government Policies for Oversight of Life Sciences Dual Use Research of Concern, we elicited detailed reviews from 18 experienced DURC reviewers and 49 synthetic biology students of the risks, benefits, and recommended risk management strategies for four real-world synthetic biology projects.ResultsWe found significant variation among experts, as well as between experts and students, in both perceived DURC risk and recommended risk management strategies. …”
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Spatial-temporal variations of stroke mortality worldwide from 2000 to 2021 by Siyi Xing, Xiaoliang Chen, Hong Zhu, Xinmei Li, Ge Zhang, Jie Li

“…Methods Based on age-standardized mortality rate (ASMR) due to stroke from the Global Health Estimates database, we analyzed stroke variation from 2000 to 2021 in 183 countries worldwide using Moran’s I, Getis-Ord Gi*, and Standard Deviation Ellipse. …”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

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Gender and age-related variations in rumen fermentation and microbiota of Qinchuan cattle by Yueting Pan, Huaxuan Li, Juze Wang, Xiaolei Sun, Entang Liang, Juntao Guo, Jianfang Wang, Ke Zhang, Bingzhi Li, Mengqi Zan, Wucai Yang, Linsen Zan

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Current and Near-Future Technologies to Quantify Nanoparticle Therapeutic Loading Efficiency and Surface Coating Efficiency with Targeted Moieties by Vy Tran, Na Nguyen, Scott Renkes, Kytai T. Nguyen, Tam Nguyen, George Alexandrakis

“…Accurate quality control methods for nanoparticle therapeutic payload and coating characterization are critical for attaining the desired levels of batch repeatability, drug/gene loading efficiency, targeting molecule coating effectiveness, and safety profiles. …”
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Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…To address the issue of low accuracy in short-term power prediction for photovoltaic (PV) power plants, this paper proposes a power prediction method that integrates an Efficient Channel Attention Mechanism and a Multivariate Time Series Graph Neural Network (ECA-MTGNN). …”
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Temporal variations in Aphid- Parasitoid interactions on fruits crops in semi-arid region by Fatima Gagui, Malik Laamari, Souad Tahar-Chaouche, Abdelmoneim Tarek Ouamane

“…The management of the biological control against aphids by parasitoids requires a deep knowledge of the specific diversity of the target insect in the target area, and understanding the interactions between pests and parasitoids within temporal variations. From April 2022 to Ocober 2023, using a checking method, aphids and their parasitoids on fruits orchard multi-speciecs of apple, pear, peach and apricot trees were collected on Ain Zitoun, Oum El Bouaghi, North Algeria. …”
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