A novel roseosiphovirus infecting dinoroseobacter shibae DFL12T represents a new genus by Nana Wei, Longfei Lu, Yingying Li, Bo Ding, Lanlan Cai, Yunlan Yang

“…In this study, a novel roseophage, vB_DshS-R26L (R26L), infecting Dinoroseobacter shibae DFL12T, was isolated and characterized in terms of physiological and genomic properties. …”
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Overusage of Mouse DH Gene Segment, DFL16.1, IsStrain-Dependent and Determined by cis-Acting Elements by Michael J. Atkinson, Yenhui Chang, Jakub W. Celler, Carol Huang, Christopher J. Paige, Gillian E. Wu

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Device-Free Localization Techniques: A Review by Abd Al-Rahman Tariq Rasheed, Aseel Hameed AL-Nakkash, Osama Abbas Al Tameemi, Debashri Roy

“… Device-free localization (DFL) has emerged as a transformative technology for tracking objects and individuals without requiring them to carry electronic devices. …”
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Achieving agricultural sustainability: analyzing the impact of digital financial inclusion on agricultural green total factor productivity by Ming Xu, Ming Xu, Lidong Shi, Jiahui Zhao, Yili Zhang, Ting Lei, Yang Shen

“…In the context of the global economic digital revolution, examining the impact of digital financial inclusion (DFl) on agricultural green total factor productivity (AGTFP) provided a new perspective for DFl to promote agricultural transformation and upgrading.MethodsBased on balanced panel data for 30 provinces in China from 2011 to 2022, the study used the slack-based measure (SBM) and global malmquist-luenberger (GML) index to measure AGTFP. …”
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The Role of Small Bowel Capsule Endoscopy in Determining the Treatment Strategy for Duodenal Follicular Lymphoma: A Single-Center Retrospective Study by Donghoon Kang, Gi-June Min, Tong Yoon Kim, Young-Woo Jeon, Yukyung Cho, Jae Myung Park, Joo Hyun O, Byung-Ock Choi, Gyeongsin Park, Seok-Goo Cho

“…<b>Objectives</b>: In this single-center retrospective study, we aimed to verify the extent of duodenal follicular lymphoma (DFL) and investigate the role and clinical significance of video capsule endoscopy (VCE) in the treatment process. …”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…Accordingly, this paper proposes a novel face recognition method for underground engineering environments based on dual-target domain adaptation (DTDA) and discriminative feature learning (DFL). The targeting of the algorithm to blurred and NIR images is enhanced through DTDA, while the inter-class feature variability and intra-class feature compactness for domain adaptation face recognition are ensured by DFL. …”
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Privacy-preserving federated learning framework with dynamic weight aggregation by Zuobin YING, Yichen FANG, Yiwen ZHANG

“…There are two problems with the privacy-preserving federal learning framework under an unreliable central server.① A fixed weight, typically the size of each participant’s dataset, is used when aggregating distributed learning models on the central server.However, different participants have non-independent and homogeneously distributed data, then setting fixed aggregation weights would prevent the global model from achieving optimal utility.② Existing frameworks are built on the assumption that the central server is honest, and do not consider the problem of data privacy leakage of participants due to the untrustworthiness of the central server.To address the above issues, based on the popular DP-FedAvg algorithm, a privacy-preserving federated learning DP-DFL algorithm for dynamic weight aggregation under a non-trusted central server was proposed which set a dynamic model aggregation weight.The proposed algorithm learned the model aggregation weight in federated learning directly from the data of different participants, and thus it is applicable to non-independent homogeneously distributed data environment.In addition, the privacy of model parameters was protected using noise in the local model privacy protection phase, which satisfied the untrustworthy central server setting and thus reduced the risk of privacy leakage in the upload of model parameters from local participants.Experiments on dataset CIFAR-10 demonstrate that the DP-DFL algorithm not only provides local privacy guarantees, but also achieves higher accuracy rates with an average accuracy improvement of 2.09% compared to the DP-FedAvg algorithm models.…”
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Radio tomographic imaging localization method based on the improved ellipse weight model by Li LI, Wei KE, Hengkuan XU, Kunliang YU, Yanli WANG

“…As one of the main methods of device free localization (DFL), the radio tomographic imaging (RTI) method that can locate a target without attaching any devices has wide application prospects. …”
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Dynamic Modeling and Control of Electromechanical Coupling for Mechanical Elastic Energy Storage System by Yang Yu, Zengqiang Mi

“…The theory of direct feedback linearization (DFL) is applied to decouple the nonlinear dynamic model and convert the developed model from nonlinear to linear. …”
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An integrated dataset of spatiotemporal and event data in elite soccer by Manuel Bassek, Robert Rein, Hendrik Weber, Daniel Memmert

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Novel continuous identity authentication method based on mouse behavior by Cong YI, Jun HU

“…With the rapid development of Internet technologies, security issues have always been the hot topics.Continuous identity authentication based on mouse behavior plays a crucial role in protecting computer systems, but there are still some problems to be solved.Aiming at the problems of low authentication accuracy and long authentication latency in mouse behavior authentication method, a new continuous identity authentication method based on mouse behavior was proposed.The method divided the user’s mouse event sequence into corresponding mouse behaviors according to different types, and mined mouse behavior characteristics from various aspects based on mouse behaviors.Thereby, the differences in mouse behavior of different users can be better represented, and the authentication accuracy can be improved.Besides, the importance of mouse behavior features was obtained by the ReliefF algorithm, and on this basis, the irrelevant or redundant features of mouse behavior were removed by combining the neighborhood rough set to reduce model complexity and modeling time.Moreover binary classification was adopted.The algorithm performed the training of the authentication model.During identity authentication, the authentication model was used to obtain a classification score based on the mouse behavior collected each time, and then the user’s trust value was updated in combination with the trust model.When the user’s trust value fell below the threshold of the trust model, it might be judged as illegal user.The authentication effect of the proposed method was simulated on the Balabit and DFL datasets.The results show that, compared with the methods in other literatures, this method not only improves the authentication accuracy and reduces the authentication latency, but also has a certain robustness to the illegal intrusion of external users.…”
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El análisis de las diferencias salariales y discriminación por género por áreas profesionales en México, abordado desde un enfoque regional, 2015 by Reyna Elizabeth Rodríguez Pérez, Myrna Limas Hernández

“…El estudio presenta dos limitaciones: 1) No se analizan las decisiones de participación en el mercado de trabajo y de selección con el método DFL. 2) No se analiza el sector informal. Por último, se concluye que la profesión y la región de residencia, sí influyen en la brecha salarial y la discriminación.…”
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LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…Finally, we design a new detection head, CLLAHead, which reduces computational costs and strengthens the robustness of the model through cross-layer local attention. At the same time, the DFL loss function is introduced to reduce regression and classification errors. …”
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Morpho-meristic variations of the native and Vietnam-originated climbing perch (Anabas testudineus), collected from hatchery sources in Bangladesh by Md. Arif Shahariar, Md. Mahamudul Hassan, Swagata Aditya, Tanjina Saulin, Atika Khondokar, Mohammad Shafiqul Alam

“…However, the analysis revealed significant variation (p &lt; 0.05) between native and Vietnam-originated climbing perch concerning morphometric characteristics such as standard length (SL), head length (HL), body depth (BD), eye diameter (ED), dorsal fin length (DFL), pelvic fin length (PVFL), and anal fin length (AFL) as well as meristic characters i.e. dorsal fin spine (DFS), caudal fin ray (CFR), pectoral fin ray (PCFR), and anal fin spine (AFS). …”
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