UAV-Based Remote Sensing Monitoring of Maize Growth Using Comprehensive Indices by Tingrui Yang, Jinghua Zhao, Ming Hong, Mingjie Ma, Shijiao Ma, Yingying Yuan

“…Comprehensive growth monitoring indices, CGMICV and CGMICT, were developed using the coefficient of variation method (CV) and the technique for order preference by similarity to an ideal solution (TOPSIS) based on the coefficient of variation method of empowerment (Coefficient of variation-TOPSIS, CT) respectively. …”
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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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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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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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Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning by Wenzheng Tao, Sarang Joshi, Ross Whitaker

“…We propose a novel Bayesian framework with a nonparametric kernel expansion and a sparse prior, enabling the direct modeling of measured data and avoiding the artificial biases from regridding. Our method, Bayesian scalable functional data analysis (BSFDA), automatically selects both subspace dimensionalities and basis functions, reducing the computational overhead through an efficient variational optimization strategy. …”
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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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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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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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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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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

“…Finally, the fault distance is calculated by the modulus wave velocity difference location formula and compared with the variational mode decomposition-Teager energy operator (VMD-TEO) method and the empirical mode decomposition _first-order difference method. …”
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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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Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks by Mohamed Fathallah, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

“…This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. …”
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Orbital Decay of the Ultra-hot Jupiter TOI-2109b: Tidal Constraints and Transit-timing Analysis by Jaime A. Alvarado-Montes, Mario Sucerquia, Jorge I. Zuluaga, Christian Schwab

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Designing a bedside table of wood furniture waste based on TRIZEE methodology by Sari Diana Puspita, Hartini Sri, Azzahra Faradhina, Hamdi Makhrul, Arsiwi Pramudi

“…The bedside table was designed using the TRIZEE method. TRIZEE is a method that combines eco-efficiency with 40 TRIZ principles, which can reduce environmental impacts in alignment with company goals. …”
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Efficiency of Multi-Terminators Method to Reveal Seismic Precursors in Sub-Ionospheric VLF Transmitter Signals: Case Study of Turkey–Syria Earthquakes Mw7.8 of 6 February 2023 by Mohammed Y. Boudjada, Patrick H. M. Galopeau, Sami Sawas, Giovanni Nico, Hans U. Eichelberger, Pier F. Biagi, Michael Contadakis, Werner Magnes, Helmut Lammer, Wolfgang Voller

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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

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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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Enhancing Matrix Completion Using a Modified Second-Order Total Variation by Wendong Wang, Jianjun Wang

“…In particular, the proposed method becomes very competitive with the introduction of a modified second-order total variation, even when it is compared with some recently emerged matrix completion methods that also combine the low rank and smoothness priors of matrices together. …”
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