Soft X-ray tomography reveals variations in B. subtilis biofilm structure upon tasA deletion by Anthoula Chatzimpinou, Anne Diehl, A. Tobias Harhoff, Kristina Driller, Bieke Vanslembrouck, Jian-Hua Chen, Kristaps Kairišs, Valentina Loconte, Mark A. Le Gros, Carolyn Larabell, Kürşad Turgay, Hartmut Oschkinat, Venera Weinhardt

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Synergy and Effectiveness Evaluation of Carbon Policy and Government Subsidies: Variational Inequality Model Based on Supply Chain Network by Chao Wang, Hui Sun, Yuehu Wang

“…., production cost subsidies, low-carbon technology subsidies, and low-carbon product subsidies). By integrating these approaches, six distinct policy combinations were identified. …”
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Color Variation in 3D-Printed Orthodontic Aligners as a Compliance Indicator: A Prospective Pilot Study by Francesca Cremonini, Giuseppe Chiusolo, Filippo Pepe, Luca Lombardo

“…This study investigated the potential of colorimetric analysis as a method to assess compliance with NOXI 3D-printed night-time aligners. …”
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Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

“…This study introduces an innovative method for minimizing artifacts in electroencephalography (EEG) signals by integrating brainstorm optimization (BSO) with a variational autoencoder generative adversarial network (VAE-GAN), resulting in the BrOpt_VAGAN model. …”
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Geoelectrical resistivity and geochemistry monitoring of landfill leachates due to the seasonal variations and the implications on groundwater systems and public health by Joseph Omeiza Alao, Oche Joseph Otorkpa, Fahad Abubakar, Daniel Eshimiakhe, Abubakar Aliyu, Momohjimoh Abdulsalami, Danga Onimisi Abdulmalik

“…Finally, the combined techniques deployed for monitoring the physiochemical properties of LLPs due to seasonal variation and the impacts on the integrity of groundwater quality systems and public health inform sustainable waste management practices, which contributes significantly to the protection of groundwater resources and the development of effective strategies to safeguard groundwater systems and public health for present and future generations.…”
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Combining long-read DNA and RNA sequencing to enhance molecular understanding of structural variations leading to copy gains by Jade Fauqueux, Jean-Pascal Meneboo, Roseline Caumes, Luc Thomès, Emilie Ait Yahya, Caroline Thuillier, Elise Boudry, Celine Villenet, Martin Figeac, Jamal Ghoumid, Thomas Smol

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An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders by Manoj Kumar Prabakaran, Parvathy Meenakshi Sundaram, Abinaya Devi Chandrasekar

“…In order to effectively identify malicious URLs, an enhanced deep learning‐based phishing detection approach has been proposed by integrating the strength of Variational Autoencoders (VAE) and deep neural networks (DNN). …”
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Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

“…To establish a rapid prediction model mapping sound speed profiles (SSPs) to acoustic TL through controllable generation, this study proposes a hybrid framework that integrates a variational autoencoder (VAE) and a normalizing flow (Flow) through a two-stage training strategy. …”
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Unveiling the Spatial Variation in Ecosystem Services Interactions and Their Drivers Within the National Key Ecological Function Zones, China by Tingjing Zhang, Quanqin Shao, Haibo Huang

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Study of seasonal variation in groundwater geochemistry for beneficial use of drinking and irrigation in Aundha Nagnath tehsil of Maharashtra, India by Vaishnavi Raut, Vasant Wagh, Kartik Tadse, Shankar Karuppannan

“…Abstract The study aims to understand the seasonal variation in groundwater geochemistry for drinking and irrigation uses in Aundha Nagnath tehsil of Maharashtra, India. …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…Main outcome Intra-pathologist variation between reports issued on digital pathology and light microscopy, inter-pathologist variation against ground-truth diagnosis using light microscopy and digital pathology. …”
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Application of aromatherapy in patients with cognitive impairment: An integrative review by Die Xing, Xin Chen, Yu Ma, Mengmeng Chen, Mei Fung Ho, Kylie Ka Yee Lam, Ying Zhou, Thomas Kwok Shing Wong

“…This integrative review examines the therapeutic applications of aromatherapy in cognitive impairment spectrum disorders, spanning from subjective cognitive decline to dementia. …”
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Congenital cerebral palsy: genetic cause and nosological integrity by P. I. Sokolov, N. V. Chebanenko, V. P. Zykov, I. V. Kanivets, A. G. Prityko, P. A. Romanov

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Long-Read Sequencing and Structural Variant Detection: Unlocking the Hidden Genome in Rare Genetic Disorders by Efthalia Moustakli, Panagiotis Christopoulos, Anastasios Potiris, Athanasios Zikopoulos, Despoina Mavrogianni, Grigorios Karampas, Nikolaos Kathopoulis, Ismini Anagnostaki, Ekaterini Domali, Alexandros T. Tzallas, Peter Drakakis, Sofoklis Stavros

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UAV-Based Multispectral Inversion of Integrated Cotton Growth by Haozheng Gu, Chen Xue, Guobin Wang, Yubin Lan, Huizheng Wang, Cancan Song

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Regional Differences and Dynamic Evolution of Agricultural Product Market Integration in China by Fuxing Liu, Yumeng Gu, Qin Liu

“…In this study, we employ the relative price method to measure the integration of the agricultural product market in 31 Chinese provinces from 2003 to 2022. …”
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SVEA: an accurate model for structural variation detection using multi-channel image encoding and enhanced AlexNet architecture by Taixing Qiu, Jiawei Li, Yan Guo, Limin Jiang, Jijun Tang

“…Recent advances in deep learning have shown promise for SV detection; however, current methods still encounter key challenges in effective feature extraction and accurately predicting complex variations. …”
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Spatiotemporal Evolution of Precipitation Concentration in the Yangtze River Basin (1960–2019): Associations with Extreme Heavy Precipitation and Validation Using GPM IMERG by Tao Jin, Yuliang Zhou, Ping Zhou, Ziling Zheng, Rongxing Zhou, Yanqi Wei, Yuliang Zhang, Juliang Jin

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SCITUNA: single-cell data integration tool using network alignment by Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Süleyman Onur Doğan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan

“…Results We introduce a novel method for batch effect correction named SCITUNA, a Single-Cell data Integration Tool Using Network Alignment. …”
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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

“…To address this challenge, this paper proposes a fault diagnosis method for aircraft fuel pumps based on adaptive synthetic data augmentation using a Conditional Variational Autoencoder (CVAE). …”
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