Pest Detection in Citrus Orchards Using Sentinel-2: A Case Study on Mealybug (<i>Delottococcus aberiae</i>) in Eastern Spain by Fàtima Della Bellver, Belen Franch Gras, Italo Moletto-Lobos, César José Guerrero Benavent, Alberto San Bautista Primo, Constanza Rubio, Eric Vermote, Sebastien Saunier

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Enhanced Detection of Mitochondrial Heteroplasmy and DNA Hypomethylation in Adipose-Derived Mesenchymal Stem Cells Using a Novel Adaptive Sampling Protocol by Antonina Gospodinova, Yuliia Mariienko, Diana Pendicheva-Duhlenska, Soren Hayrabedyan, Krassimira Todorova

“…In mtDNA, direct sequencing showed extensive hypomethylation, and low levels of non-CpG methylation were detected regardless of sequencing coverage depth. These sparse methylation patterns showed non-random distribution, correlating with functional regions and heteroplasmic sites. …”
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The Cosmic Evolution of Fast Radio Bursts Inferred from the CHIME/FRB Baseband Catalog 1 by Om Gupta, Paz Beniamini, Pawan Kumar, Steven L. Finkelstein

“…Using the baseband update of CHIME/FRB Catalog 1, we calibrate the 2D fluence–DM distribution for the first time. We find the energy distribution is described well by a Schechter function with a power-law slope of $-1.9{4}_{-0.12}^{+0.14}$ . …”
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eDNAjoint: An R package for interpreting paired or semi‐paired environmental DNA and traditional survey data in a Bayesian framework by Abigail G. Keller, Ryan P. Kelly

“…Abstract Environmental DNA (eDNA) sampling is increasingly used in surveys of species distribution as a potentially sensitive and efficient monitoring method. …”
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Improved Path Planning and Controller Design Based on PRM by Shengjin Chen, Guangyong Yang, Guanghai Cui, Shang Yi, Lihuang Wu

“…Additionally, to address the path detection challenges encountered by the PRM algorithm in complex environments, this paper introduces normal distribution sampling and adaptive cost factors. …”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…Besides, generalization ability test indicates that new methods allow the classifier to have comparable accuracies on five additional datasets. The proposed loss functions improve the model performance through optimizing the model training process, providing a new idea for deep learning application in wood defects detection.…”
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A comparison of DNA methylation detection between HiFi sequencing and whole genome bisulfite sequencing in monozygotic twins with Down syndrome. by Kanyanee Promsawan, Chalurmpon Srichomthong, Monnat Pongpanich, Vorasuk Shotelersuk

“…DNA methylation, a key epigenetic modification, regulates gene expression and diverse cellular functions. Bisulfite sequencing (BS) remains the gold standard for methylation detection, while PacBio HiFi sequencing enables direct detection without chemical conversion. …”
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Temporal and Spatial Evolution and Driving Force Analysis of Water Conservation Function in Yunnan Province Based on Climate and Land Use Change by LIU Fengru, ZHAO Junsan, LIN Yilin, CHEN Guoping, ZHANG Longjiang, PENG Sufen

“…[Results] (1) From 2000 to 2030, the total area of cultivated land and unused land decreased, the area of water area and construction land increased gradually, and the forest land and grassland changed in a wavy line; The trend of land use change in different scenarios is roughly the same, namely: grassland > construction land > cultivated land > unused land > water area > forest land. (2) From 2000 to 2020, water conservation showed a gradually decreasing trend, decreasing by 2.27×109m3; Under the influence of different climate and land use models, the water conservation under different scenarios is different, and the water conservation under the SSP2-4.5 scenario is the highest, which is 9.338×109m3. The spatial distribution pattern is “high in the southwest and low in the northeast”. (3) The results of geographical detection show that the average annual precipitation, soil type, and DEM are the main driving factors affecting the spatiotemporal distribution difference of water conservation, and the interaction between precipitation and other factors is significantly enhanced. …”
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MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data by Heng Zhang, Can Yang, Xijian Fan

“…Accurate detection of individual tree crowns is a critical prerequisite for precisely extracting forest structural parameters, which is vital for forestry resources monitoring. …”
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Detection of CRISPR‒Cas and type I R–M systems in Klebsiella pneumoniae of human and animal origins and their relationship to antibiotic resistance and virulence by Xue Li, Ling Wang, Jinghuan Lin, Yingjuan Gu, Zhihua Liu, Jing Hu

“…In this study, the whole genomes of 520 strains of K. pneumoniae from GenBank, including 325 from humans and 195 from animals, were collected for CRISPR‒Cas systems and type I R-M systems, virulence genes, antibiotic resistance genes, and multilocus sequence typing detection. The results showed that host origin had no obvious influence on the distributions of the two systems (CRISPR‒Cas systems in 29.8% and 24.1%, type I R-M systems in 9.8% and 11.8% of human-origin and animal-origin strains, respectively) in K. pneumoniae. …”
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New ecological change indicators using breakpoints in vegetation trends applied to a dryland pastoral catchment in the Moroccan high atlas by Angelique Vermeer, Saskia Foerster, Ángeles G. Mayor

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Oligodendrocyte arrangement, identification and morphology in the developing superior olivary complex by Alina Carola Zacher, Alina Carola Zacher, Melissa Grabinski, Laura Console-Meyer, Laura Console-Meyer, Felix Felmy, Christina Pätz-Warncke

“…Despite their important role in function and development, an assessment of their developmental arrangement and morphology is missing for the SOC. …”
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An Integral of Fox&#x2019;s H-Functions With Application to the Performance of Hybrid FSO/RF Systems Over Generalized Fading Channels by Wagdy Ameen Alathwary, Essam Saleh Altubaishi

“…New expressions for average bit error rate (ABER) and ergodic capacity are obtained in terms of bivariate Fox&#x2019;s H-function (BFHF) under subcarrier intensity modulation (SIM) and heterodyne detection (HD). …”
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eDNA Metabarcoding Reveals the Depth-Structured Variation of Coral Reef Fish by Jinfa Zhao, Lin Lin, Yong Liu, Teng Wang, Yu Liu, Yayuan Xiao, Jianzhong Shen, Hongyu Xie, Hai Huang, Qiuying Han

“…Additionally, the Margalef index (<i>D</i>) and Function richness (<i>FRic</i>) both displayed a consistent downward trend with increasing depth, while the Shannon–Wiener index (<i>H′</i>), Pielou index (<i>J′</i>), Quadratic entropy (<i>RaoQ</i>), Functional dispersion (<i>FDis</i>), and Functional evenness (<i>FEve</i>) initially increased and then decreased, peaking around 20 m. …”
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HA-CP-Net: A Cross-Domain Few-Shot SAR Oil Spill Detection Network Based on Hybrid Attention and Category Perception by Dongmei Song, Shuzhen Wang, Bin Wang, Weimin Chen, Lei Chen

“…The category-perception loss function optimizes the spatial distribution of sample features by shortening the distance between similar samples while expanding the distance between different samples. …”
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Polymorphism of the second type angiotensin II receptor’s gene in women with essential hypertension and the corresponding features of structural and functional parameters of myocar... by O. O. Sakovych, V. M. Zhebel, T. V. Polishchuk, S. V. Franchuk, L. M. Sursaieva

“…The structural and functional parameters of myocardium were evaluated using an echocardiography. …”
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Construction of DDoS attacks malicious behavior knowledge base construction by Feiyang LIU, Kun LI, Fei SONG, Huachun ZHOU

“…Aiming at the problem of insufficient research on the knowledge base of distributed denial of service (DDoS) network attacks, a method for constructing a knowledge base of DDoS attacks malicious behavior was proposed.The knowledge base was constructed based on the knowledge graph, and contains two parts: a malicious traffic detection database and a network security knowledge base.The malicious traffic detection database detects and classifies malicious traffic caused by DDoS attacks, the network security knowledge base detects DDoS attacks from traffic characteristics and attack frameworks model malicious behaviors, and perform inference, tracing and feedback on malicious behaviors.On this basis, a distributed knowledge base was built based on the DDoS open threat signaling (DOTS) protocol to realize the functions of data transmission between distributed nodes, DDoS attack defense, and malicious traffic mitigation.The experimental results show that the DDoS attack malicious behavior knowledge base can effectively detect and mitigate the malicious traffic caused by DDoS attacks at multiple gateways, and has the knowledge update and reasoning function between the distributed knowledge bases, showing good scalability.…”
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Using X-ray velocimetry to measure lung function and assess the efficacy of a pseudomonas aeruginosa bacteriophage therapy for cystic fibrosis by Stephanie A. Harker, Melissa Preissner, Rachel Yoon Chang, David Trevascus, Chengxi Liu, Yuncheng Wang, Michael Y. T. Chow, Patricia Cmielewski, Nicole Reyne, Ying Ying How, James A. Pollock, Mitzi Klein, Christopher A. Wright, Stephen Dubsky, Martin Donnelley, Hak-Kim Chan, Kaye S. Morgan

“…In some cases where structural changes were not evident in the CT scans, XV successfully detected changes in lung function.…”
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Operative calculation of electric power losses in the network with unknown parameters in AIMS EMA by M. I. Danilov, I. G. Romanenko

“…The proposed methodology can be used in existing AIMS EMA without the introduction of additional measuring means (functions).…”
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CD8+ T cells in breast cancer tumors and draining lymph nodes: PD-1 levels, effector functions and prognostic relevance by Carolina Abrate, Fernando P. Canale, Sabrina N. Bossio, Jimena Tosello Boari, María C. Ramello, Nicolas Nuñez, Wilfrid Richer, Christine Sedlik, Jordan Denizeau, Anne Vincent-Salomon, Edith Borcoman, Andres Del Castillo, Adriana Gruppi, Eva V. Acosta Rodríguez, Eliane Piaggio, Carolina L. Montes

“…Here, we evaluated CD8+ T cells expressing different levels of PD-1, their functional status, and distribution in different tissues of luminal breast cancer (BC) patients. …”
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