CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model by Shanwei Liu, Shuaipeng Wang, Wei Zhang, Tao Zhang, Mingming Xu, Muhammad Yasir, Shiqing Wei

“…In this article, we propose a CD Mamba model (CD-STMamba), which can efficiently encode and decode bitemporal images interactively from multiple dimensions, thus enabling more accurate CD. …”
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Identification and Characterization of Antiviral Activity of Synthetic Compounds Against Mayaro Virus by Ana Paula Andreolla, Andrea Cristine Koishi, Alessandra Abel Borges, Larissa Albuquerque de Oliveira, Viviane Guedes de Oliveira, Nerilson Marques Lima, Eloah Pereira Ávila, Pedro Pôssa de Castro, Giovanni Wilson Amarante, Mauro Vieira de Almeida, Juliano Bordignon, Claudia Nunes Duarte dos Santos

“…Additionally, anti-MAYV activity of these four selected hits was confirmed using several human cell lines and two different MAYV genotypes. <b>Conclusions:</b> Our results indicate that the iHTS platform is effective for screening anti-MAYV drugs and that four promising compounds can efficiently inhibit MAYV replication in human cell lines. …”
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Pesticide effects of highly stable green synthesized silver nanocomposites to be used in organic tomato crops by Luis E. Trujillo, Pablo Landázuri, Carlos Noceda, José Velasco, Luz Toapanta, Giulliana Criollo, Andrea Poaquiza, Fulton Barros, Vladimir Aguirre, Andrés Izquierdo, Julio Chacón, Zailmar Morales, Alexis Debut

“…With this scalable one step synthesis, the obtained PVP-AgNPs nanocomposite showed particle sizes of 10.8 nm being highly stable during 326 days. At different assayed doses, this highly stable PVP-AgNPs nanocomposite, was able to control whitefly specimens efficiently with an average mortality rate of 98% after 10 days of the nanocomposite application to naturally infested tomato leaves grown under greenhouse conditions. …”
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<i>Megaselia scalaris</i> and <i>Senotainia tricuspis</i> Infesting <i>Apis mellifera</i>: Detection by Quantitative PCR, Genotyping, and Involvement in the Transmission of Microbi... by Franca Rossi, Martina Iannitto, Beqe Hulaj, Paola Manocchio, Francesca Gentile, Ilaria Del Matto, Massimiliano Paoletti, Lucio Marino, Luciano Ricchiuti

“…The results indicated that these parasites should be efficiently controlled in apiaries by using rapid detection methods to facilitate the large screening studies and early detection.…”
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The Pollen Representation of Vegetation and Climate Along an Altitudinal Gradient on the Eastern Tibetan Plateau by Weihe Ren, Min Liu, Feng Qin, Quan Li, Guitian Yi, Weiyu Chen, Shuming Li, Zijian Liu, Qing Peng, Chen Liang, Yan Zhao

“…The results revealed that (1) vegetation types along the altitudinal gradient can be effectively differentiated by comparing pollen assemblages, discriminant analysis, and indicator species analysis; (2) the conifer/broadleaf pollen ratio (C/B) efficiently distinguished coniferous forests (C/B > 5) from mixed forests (C/B < 5); and (3) variations in modern pollen assemblages are primarily influenced by temperature, with pollen ratios, such as <i>Artemisia</i>/Cyperaceae (<i>Art</i>/Cy) and <i>Tsuga</i>/(<i>Tsuga</i> + <i>Abies</i> + <i>Picea</i>) (T/TAP), displaying notable altitudinal and temperature differences. …”
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Exploration of Using an Open‐Source Large Language Model for Analyzing Trial Information: A Case Study of Clinical Trials With Decentralized Elements by Ki Young Huh, Ildae Song, Yoonjin Kim, Jiyeon Park, Hyunwook Ryu, JaeEun Koh, Kyung‐Sang Yu, Kyung Hwan Kim, SeungHwan Lee

“…We explored Llama 3, an open‐source large language model, to efficiently evaluate these trends. Trial data were sourced from Aggregate Analysis of ClinicalTrials.gov, focusing on drug trials conducted between 2018 and 2023. …”
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A Recognition Model Based on Multiscale Feature Fusion for Needle-Shaped <i>Bidens</i> L. Seeds by Zizhao Zhang, Yiqi Huang, Ying Chen, Ze Liu, Bo Liu, Conghui Liu, Cong Huang, Wanqiang Qian, Shuo Zhang, Xi Qiao

“…Therefore, the network proposed in this paper can classify needle-shaped seeds efficiently and provide a reference for seed recognition in agriculture.…”
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Obesity-Derived Biomolecules Promote the Differentiation of THP1 Monocytes to Macrophages In Vitro by Luis I. Terrazas, Valeria Gutiérrez-Almaraz, Valentina García-Garay, Victoria Hernández-Gómez, Nohemí Salinas-Jazmín, Mónica Graciela Mendoza-Rodríguez, Jonadab Efraín Olguín

“…Results: Our data suggest that native LDL induces the differentiation of human THP1 monocytes into M1 macrophages even more efficiently than classic phorbol 12-myristate 13-acetate (PMA) stimulation, whereas ox-LDL and PGE2 induce the expression of activation markers similarly to interferon gamma or interleukin 4 during PMA preactivation of macrophages. …”
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An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function by Ashley R. Brown, Ashley R. Brown, Grant A. Fox, Grant A. Fox, Irene M. Kaplow, Irene M. Kaplow, Irene M. Kaplow, Alyssa J. Lawler, Alyssa J. Lawler, BaDoi N. Phan, BaDoi N. Phan, BaDoi N. Phan, Lahari Gadey, Lahari Gadey, Morgan E. Wirthlin, Morgan E. Wirthlin, Easwaran Ramamurthy, Easwaran Ramamurthy, Gemma E. May, Ziheng Chen, Qiao Su, Qiao Su, C. Joel McManus, Robert van de Weerd, Robert van de Weerd, Andreas R. Pfenning, Andreas R. Pfenning, Andreas R. Pfenning

“…Here, we introduce a systemic MPRA (sysMPRA) to address these challenges through systemic intravenous AAV viral delivery.Results: We demonstrate successful transduction of the MPRA library into diverse mouse tissues, efficiently identifying tissue specificity in candidate enhancers and aligning well with predictions from machine learning models. …”
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Exosome-based approaches in cancer along with unlocking new insights into regeneration of cancer-prone tissues by Mohsen Safaei, Seyedeh Somayeh Rajabi, Mahtab Tirgar, Najmeh Namdar, Mahsa Dalfardi, Farnia Mohammadifar, Arash Goodarzi, Ahmad Reza Farmani, Vahid Ramezani, Zahra Abpeikar

“…By examining the role and application of exosomes in various mechanisms of cancer, it is possible to help treat this disease more efficiently and quickly in preclinical and clinical research.…”
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Comparison of the review models and regulatory timelines of seven countries participating in the ECOWAS-MRH initiative: identifying opportunities for improvement by Mercy Owusu-Asante, Mercy Owusu-Asante, Delese Mimi Darko, Seth Seaneke, Aminata Nacoulma, Oula Ibrahim Olivier Traore, Mojisola Christianah Adeyeye, Abayomi Akinyemi, Coulibaly Assane, Clarisse Épse Kaul Meledje Clamoungou, Oumy Kalsoum Ndao, Rokhaya Ndiaye Kande, James Komeh, Sheku Mansaray, Dalkoi Lamboni, Maheza Agba, Sam Salek, Sam Salek, Stuart Walker, Stuart Walker

“…In addition, there were differences reported in the targets for the key milestones in the full review process. …”
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Major Sorghum Production Constraints and Coping Mechanisms: The Case of Anthracnose (Colletotrichum sublineolum) by Kebede Dessalegn Lemu, Peter Ogbonna, Christian Agbo, Dagnachew Lule

“…Recent advancement of molecular breeding and bio-informatics tools are playing a significant role in efficiencies and precisions of resistance breeding. QTLs or genomic area for resistance were identified using traditional molecular markers and recent research results revealed discoveries of specific gene and locus using high throughput markers like SNPs using GWAS approach. …”
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Preparation and Physicochemical Properties of High-purity Isomaltooligosaccharides by Sequential Simulated Moving Bed Chromatography by Shenghui RUAN, Xiqun ZHENG, Xiaolan LIU, Liangyu LI

“…Sequential simulated moving bed technology can efficiently purify isomaltooligosaccharides, which provides corresponding technical support for the large-scale commercial production and wide application of high-purity isomaltooligosaccharides. …”
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Remaining Useful Life Prediction for Rolling Bearings Based on TCN–Transformer Networks Using Vibration Signals by Xiaochao Jin, Yaping Ji, Shiteng Li, Kailang Lv, Jianzheng Xu, Haonan Jiang, Shengnan Fu

“…In addition, a new RUL prediction method, TCN–Transformer, is developed which can efficiently learn and integrate local and global features of vibration signals, addressing the long time series prediction problem in RUL prediction. …”
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Preparing Lawyers for the Twenty-First Century by William Twining

“…Whether we are doing so as efficiently, as imaginatively or as professionally as we might is another matter. …”
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UTAP2: an enhanced user-friendly transcriptome and epigenome analysis pipeline by Jordana Lindner, Bareket Dassa, Noa Wigoda, Gil Stelzer, Ester Feldmesser, Jaime Prilusky, Dena Leshkowitz

“…This technology has made it possible to detect differences across cell types, genotypes, and conditions. …”
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The Influence of Chemical Weapons on Tactics and Operational Art in World War 1 (Essays in the History of Chemical Weapons), Part 3 by M. V. Supotnitskiy, S. V. Petrov, V. A. Kovtun

“…The dynamics of the growth of the chemical warfare agents` (CWA) production, the development of means and methods for delivering the agents efficiently to the target by the Allied countries allowed the authors to suggest that in case Germany had not signed the armistice of 11 November 1918 with the Allies, the large-scale battlefield use of chemical weapons could multiply both in quality and in quantity. …”
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A Novel Cascaded Approach for Classification of Tuberculosis Using Cough Audio in Real-Time Environment by Haroon Mahmood, Manal Iftikhar, Aamir Wali, Arshad Ali, Maryam Gulzar

“…Our findings suggest that our model based on patient data and cough auido could support community health workers and health programs in identifying TB cases more effectively and cost-efficiently.…”
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Frontiers of premature ovarian insufficiency research: an analysis from the top 100 most influential articles in the field by Cheng Cheng, Suhua Liu, Ziqing Yu, Kexuan Zhu, Rui Liu, Xuhao Li, Jing Zhang

“…The study of HERITAGE AND GENETICS, CARDIOVASCULAR DISEASES, and CELL BIOLOGY AND IMMUNOGENETICS is becoming more and more popular in POI, as shown by cluster analysis.Conclusions: Bibliometric analysis enables POI researchers to efficiently and visibly pinpoint the cutting-edge areas and focal points of their study. …”
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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

“…The research can contribute significantly to developing better classification models so physicians can obtain more accurate information and help treat stroke cases more effectively and efficiently.…”
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