Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…While machine learning methods offer certain advantages, they still face challenges in complex data scenarios. This study focuses on the application of Federated Learning in insider threat detection. …”
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A new method for identifying reservoir fluid properties based on well logging data: A case study from PL block of Bohai Bay Basin, North China by Song Jian, Zhang Hao, Guo Jianhong, Han Zihao, Guo Jianchao, Zhang Zhansong

“…The method proposed in this article not only addresses the challenge of evaluating water-flooded layers in the absence of key logging curves but also offers a novel approach to reservoir fluid identification using geophysical logging data. The non-standard Markov transition field model is employed to map logging data into feature images, offering a new perspective on the application of geophysical logging data in practical reservoir analysis.…”
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An open-source workflow for identifying hydrodynamic water quality events in rivers by continuous water quality monitoring and time-series data processing using R and US EPA CANARY by L. Cronin, C.M. Taylor, C. Briciu Burghina, F.E. Lucy, F. Regan

“…The practical method presented, with reproducibility built into the workflow, is designed for multiple users and a step-by-step application of the workflow is demonstrated including: • Deployment arrangement for water quality sondes in two temporary monitoring stations with different site characteristics. • Data collection and data validation methods. • Concise, reproducible, open-source workflow detailing the use of R, R markdown and US EPA CANARY software for data import, data cleaning, data visualization, data integrity, along with site-specific CANARY event system configuration for the detection of potential water quality events.Results for two monitoring stations on different rivers show CANARY successfully identified 100 % (n 47) and 97 % (n 39) of the manually identified turbidity events.…”
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Discussion about “estimation of curie depth, geothermal gradient and near-surface heat flow from spectral analysis of aeromagnetic data in the loum-minta area (centre-east cameroon... by Marcelin Mouzong, Cyrille Donald Njiteu Tchoukeu, Constantin Som Mbang, Basseka Charles, Jacques Etame

“…It also discusses the study of [1] “Estimation of Curie depth, geothermal gradient and near-surface heat flow from spectral analysis of aeromagnetic data in the Loum-Minta area (Centre-East Cameroon)”. …”
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Assessment of genetically modified maize DP202216 for food and feed uses, under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐NL‐2019‐159) by EFSA Panel on Genetically Modified Organisms (GMO), Ewen Mullins, Jean‐Louis Bresson, Tamas Dalmay, Ian Crawford Dewhurst, Michelle M. Epstein, Leslie George Firbank, Philippe Guerche, Jan Hejatko, Francisco Javier Moreno, Hanspeter Naegeli, Fabien Nogué, Nils Rostoks, Jose Juan Sánchez Serrano, Giovanni Savoini, Eve Veromann, Fabio Veronesi, Michele Ardizzone, Ana M. Camargo, Giacomo De Sanctis, Silvia Federici, Antonio Fernandez, Andrea Gennaro, José Ángel Gómez Ruiz, Tilemachos Goumperis, Paschalina Grammatikou, Dafni Maria Kagkli, Paolo Lenzi, Franco Maria Neri, Nikoletta Papadopoulou, Tommaso Raffaello

“…The molecular characterisation data and bioinformatic analyses do not identify issues requiring food/feed safety assessment. …”
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Assessment of genetically modified cotton COT102 for food and feed uses, under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐DE‐2017‐141) by EFSA Panel on Genetically Modified Organisms (GMO), Ewen Mullins, Jean‐Louis Bresson, Tamas Dalmay, Ian Crawford Dewhurst, Michelle M Epstein, Leslie George Firbank, Philippe Guerche, Jan Hejatko, Hanspeter Naegeli, Francisco Javier Moreno, Fabien Nogué, Nils Rostoks, Jose Juan Sánchez Serrano, Giovanni Savoini, Eve Veromann, Fabio Veronesi, Michele Ardizzone, Giacomo De Sanctis, Antonio Fernández, Andrea Gennaro, José Ángel Gómez Ruiz, Tilemachos Goumperis, Dafni Maria Kagli, Paolo Lenzi, Aleksandra Lewandowska, Ana M Camargo, Franco Maria Neri, Nikoletta Papadopoulou, Tommaso Raffaello

“…The molecular characterisation data and bioinformatic analyses do not identify issues requiring food/feed safety assessment. …”
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The Size of Accretion Disks from Self-consistent X-Ray Spectra and UV/Optical/NIR Photometry Fitting: Applications to ASASSN–14li and HLX–1 by Muryel Guolo, Andrew Mummery

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Predicting the Remaining Lifespan and Cultivation-Related Loss of Osteogenic Capacity of Bone Marrow Multipotential Stromal Cells Applicable across a Broad Donor Age Range by Sarah M. Churchman, Sally A. Boxall, Dennis McGonagle, Elena A. Jones

“…The aim of this study was to develop an assay predictive of MSC culture longevity applicable to a broad donor age range. Materials and Methods. …”
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AI-enabled 5G energy-saving technology by Dan XU, Yu ZENG, Weiye MENG, Lika LI

“…With the development of 5G commercialization, the number of 5G wireless base station sites has increased sharply, 5G core networks need to be deployed in regions/provinces/cities data centers, as well as the data centers were developing on a larger scale, the problem of energy consumption was becoming increasingly prominent.Based on the main proportion of energy consumption in the whole network, the energy efficiency evaluation methods of 5G access network, core network and data center was investigated.The AI-enabled energy-saving technology of base stations and pilot application scheme, 5G core network energy-saving methods by using AI, as well as the AI-enabled energy-saving technology of data centers and pilot application scheme were introduced, and the challenges and future research directions of energy-saving technology were finally discussed.The summary and prospect on the energy-saving technology of the overall communication system, will help to improve the understanding of energy efficiency and green network development.…”
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The application of a tool for supporting shared decision making in primiparous women during early labour – a descriptive survey of obstetric health care professionals’ opinion by Antonia N. Mueller, Susanne Grylka-Baeschlin

“…Methods A cross-sectional survey was distributed to n = 607 maternity care professionals working in the study sites which applied a tool to support shared decision making in primiparous women in early labour. The data was collected using RedCap®. It was analysed descriptively, and logistic regression modelling was applied to find associations between the application of the tool and care as well as work organisation. …”
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There is no “too small” for frequent workplace-based assessment: Differences between large and small residency programs in anesthesia when using a mobile application to assess EPAs... by Tessmann, Tobias, Marty, Adrian P., Stricker, Daniel, Huwendiek, Sören, Breckwoldt, Jan

“…The data from large residency programs was compared to those from smaller ones. …”
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Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation Distric... by Mariana Akemi Ikegawa Bernabé, Miguel Crespo Chacón, Juan Antonio Rodríguez Díaz, Pilar Montesinos, Jorge García Morillo

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VAS value set still has its own application value compare with TTO value set of EQ-5D-3L in Chinese population by Lin Zhuo, Siyuan Gao, Rui Jin, Lang Zhuo, Xiuying Wang

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Application of the health belief model to study weight management behavioral intentions among adults in Ho Chi Minh City, Vietnam: a cross-sectional study by Thang T. Vo, Quoc-Duy Le

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A Four-Layer Odd Function Symmetrical Dual-Polarization Equilateral Right Triangle Slot Printed Broadband Directional Antenna for Wireless Lab Measurement Applications by Chang-Ju Wu, I-Fong Chen, Jwo-Shiun Sun, Chia-Mei Peng, Kang-Ling Li, Chung-Hao Huang

“…In the end, the radiation pattern data are compared and analyzed with simulation results.…”
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Particle Emissions by Mechanical Treatment of Nanocomposites: Emission Library and Applications in Exposure and Risk Assessment [version 3; peer review: 2 approved, 1 approved with... by Antti Joonas Koivisto, Michael Jayjock, Tareq Hussein, Rossella Daniela Bengalli, Alessia Nicosia

“…We developed guidelines and created a data collection sheet to help researchers and developers report the emissions from mechanical stress tests. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…It identified that the selection and application of the algorithms rely on the study objective and the data patterns. …”
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Predictive factors for long-term survival after surgery for pancreatic ductal adenocarcinoma: Making a case for standardized reporting of the resection margin using certified cance... by Dirk Weyhe, Dennis Obonyo, Verena Nicole Uslar, Ingo Stricker, Andrea Tannapfel

“…Long-term survival >36 months was modelled using multivariate logistic regression instead of Cox regression because the distribution function of the dependent data violated the requirements for the application of this test. …”
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A virtual system-coupled molecular dynamics simulation free from experimental knowledge on binding sites: Application to RNA-ligand binding free-energy landscape by Junichi Higo, Kota Kasahara, Shun Sakuraba, Gert-Jan Bekker, Narutoshi Kamiya, Ikuo Fukuda, Takuya Takahashi, Yoshifumi Fukunishi

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Efficacy and Safety of Murivenna Anal Infiltration Compared to Diltiazem Topical Application in Chronic Anal Fissure: Protocol for a Prospective, Randomized, Open-Label Clinical Tr... by Pratap Shankar KM, Indu Puthan Purayil, Palengara Binitha, Amit Kumar Rai, Sophia Jameela, Azeem Ahmad, Chandra Sekhara Rao Bhogavalli, Narayanam Srikanth, Rabinarayan Acharya

“…As of August 2024, we have enrolled 50 participants. The data analysis will be complete by June 2025, and the results are expected to be published by August 2025. …”
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