Proactive psychosocial follow-up of youth exposed to a terrorist attack: longitudinal study linking interviews and register-based data by Lise Eilin Stene, Kristin Alve Glad, Synne Øien Stensland, Lisa Govasli Nilsen, Grete Dyb

“…Background Knowledge on efficient approaches to the provision of post-disaster psychosocial care is urgently needed. …”
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A fully automated machine-learning-based workflow for radiation treatment planning in prostate cancer by Jan-Hendrik Bolten, David Neugebauer, Christoph Grott, Fabian Weykamp, Jonas Ristau, Stephan Mende, Elisabetta Sandrini, Eva Meixner, Victoria Navarro Aznar, Eric Tonndorf-Martini, Kai Schubert, Christiane Steidel, Lars Wessel, Jürgen Debus, Jakob Liermann

“…The proposed workflow was designed to create a clinically acceptable radiotherapy plan within the inter-observer variation of conventional plans. Methods: We evaluated the fully-automated workflow on five low-risk prostate cancer patients treated with external beam radiotherapy and compared the results with conventional optimized and inverse planned radiotherapy plans based on the contours of six different experienced radiation oncologists. …”
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Electrical diagnostics of dielectric barrier discharge for optimal power determination by Akhilesh Kumar Singh, Rajesh Prakash Guragain, Asmita Shrestha, Ganesh Kuwar Chhetri, Santosh Dhungana, Hom Bahadur Baniya, Deepak Prasad Subedi, Ujjwal Man Joshi

“…The power consumption of the reactor was determined using the Lissajous figure method and voltage-current characteristics. Both experimental and theoretical studies identified that a discharge width of 3.0 mm is optimal for minimizing power consumption in the reactor. …”
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Modeling and finite element simulation of temperature field in rail abrasive belt grinding by Haipeng WANG, Jianyong LI, Chaoyue ZHAO, Yueming LIU

“…At the same time, the increase in abrasive belt speed has a significant effect on temperature rise, so the grinding power should be increased first and then the abrasive belt speed should be increased when the grinding efficiency is increased.…”
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Detection and quantification of Salmonella spp. in poultry slaughterhouses of southern Brazil by Karen Apellanis Borges, Eduarda Boff Martelo, Lilian Andriva dos Santos, Thales Quedi Furian, Isabel C Cisco, Luciane Manto, Luciana R dos Santos

“…Conclusions: We found that contamination levels remain similar throughout the slaughtering. qPCR proved to be an efficient method for the detection of Salmonella. …”
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Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise by Sanjay Ghosh, Sanjay Ghosh, Chang Cai, Ali Hashemi, Yijing Gao, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

“…The statistical characteristic of the noise plays a crucial role in the success of the brain source recovery process, which can be formulated as a sparse regression problem.MethodIn this study, we assume that the dominant environment and biological sources of noise that have high spatial correlations in the sensors can be expressed as a structured noise model based on the variational Bayesian factor analysis. …”
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Understanding the creep behaviors and mechanisms of Mg-Gd-Zn alloys via machine learning by Shuxia Ouyang, Xiaobing Hu, Qingfeng Wu, Jeong Ah Lee, Jae Heung Lee, Chenjin Zhang, Chunhui Wang, Hyoung Seop Kim, Guangyu Yang, Wanqi Jie

“…This study introduces an efficient method to comprehend creep behaviors through machine learning, offering valuable insights for the future design and selection of Mg alloys.…”
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Performance of coal based solid waste foam filling material and control of surrounding rock of abandoned roadways by Qiang SUN, Rui ZHAO, Nan ZHOU, Jialiang GAO, Hui YUAN

“…Through physical similar simulation tests, the variation range of the peak stress of surrounding rock of abandoned roadway group in different layers is 16.9−26.5 MPa, the variation range of the stress concentration coefficient is 1.61−2.53, the maximum subsidence value of the roof of abandoned roadway in the same layer is between 300−400 mm, and the maximum subsidence value of the roof of the underlying abandoned roadway is between 200−300 mm, and the intersection of abandoned roadway is prone to stress concentration, with large deformation. …”
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Genome-wide population-based association study of extremely overweight young adults--the GOYA study. by Lavinia Paternoster, David M Evans, Ellen Aagaard Nohr, Claus Holst, Valerie Gaborieau, Paul Brennan, Anette Prior Gjesing, Niels Grarup, Daniel R Witte, Torben Jørgensen, Allan Linneberg, Torsten Lauritzen, Anelli Sandbaek, Torben Hansen, Oluf Pedersen, Katherine S Elliott, John P Kemp, Beate St Pourcain, George McMahon, Diana Zelenika, Jörg Hager, Mark Lathrop, Nicholas J Timpson, George Davey Smith, Thorkild I A Sørensen

“…This suggests that population-based study designs with enriched sampling of individuals with the extreme phenotype may be an efficient method for identifying common variants that influence quantitative traits and a valid alternative to genotyping all individuals in large population-based studies, which may require tens of thousands of subjects to achieve similar power.…”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

“…In practical operation, in order to improve monitoring efficiency and accuracy, the research team also introduces a human-computer interaction mode. …”
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Numerical Prediction of Fatigue Life for Landing Gear Considering the Shock Absorber Travel by Haihong Tang, Panglun Liu, Jianbin Ding, Jinsong Cheng, Yiyao Jiang, Bingyan Jiang

“…Only 84 FE simulations are needed to efficiently obtain the fatigue stress spectra from the ground load spectra. …”
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CYTO-SV-ML: A Machine Learning Tool for Cytogenetic Structural Variant Analysis in Somatic Cell Type Using Genome Sequences by Tao Zhang, Paul Auer, Stephen R. Spellman, Jing Dong, Wael Saber, Yung-Tsi Bolon

“…(1) Background: Although whole genome sequencing (WGS) has enabled the comprehensive analyses of structural variants (SVs), more accurate and efficient methods are needed to distinguish large somatic SVs (SV size ≥ 1 Mb) traditionally detected through cytogenetic testing from germline SVs. (2) Methods: A customized machine learning pipeline (CYTO-SV-ML) under Snakemake automation workflow was developed with a user interface to identify somatic cytogenetic SVs in WGS data. …”
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Glycyrrhiza plastid paternal inheritance and a new DNA barcode provide new strategies for molecular identification of three medicinal licorice hybrid complexes by Jiafen Luo, Xuerong Zheng, Qian Xin, Mengnan Liu, Jie Zhang, Wenqing Chen, Chaonan Chen, Chaoyue Zhang, Guigui Wan, Caixia Xia, Jiahui Lu

“…Using these findings, a new identification system incorporating ndhA, ITS, and trnH-psbA was developed to identify parents and introgression types in 52 samples. It efficiently and accurately identified the three medicinal Glycyrrhiza species and their interspecific hybridization introgression types, achieving a species resolution of 98.08%, which surpassed the two older systems (ITS + trnH-psbA + rbcL + matK and ITS + trnH-psbA + rbcL + matK + trnV-ndhC) and represents the best currently available identification method. …”
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From immune evasion to broad in silico binding: computational optimization of SARS-CoV-2 RBD-targeting nanobody by Shuyuan Cao, Bo Sun, Feng Gao, Feng Gao, Feng Gao

“…This study uses molecular dynamics (MD) simulations to analyze the immune evasion mechanisms of class 1 nanobodies against emerging SARS-CoV-2 variants, and to develop an efficient in silico pipeline for rapid affinity optimization.MethodsWe employed MD simulations and binding free energy calculations to investigate the immune evasion mechanisms of four class 1 nanobodies (R14, DL4, VH ab6, and Nanosota9) against wild-type (WT) and Omicron variants, including BA.2, JN.1, and KP.3/XEC. …”
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Modeling Worldwide Tree Biodiversity Using Canopy Structure Metrics from Global Ecosystem Dynamics Investigation Data by Jin Xu, Kjirsten Coleman, Volker C. Radeloff, Melissa Songer, Qiongyu Huang

“…Our study provides an efficient and innovative method for using GEDI data to predict global tree species richness. …”
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Improved Surface Properties of Low-Carbon Steel by Chromizing–Titanizing Coating Using Pack Cementation Process by Ayman Yousef, A. M. Bastaweesy, Ibrahim M. Maafa, Ahmed Abutaleb

“…This research underscores the versatility of pack cementation as an effective method to engineer advanced coatings, offering a cost-efficient pathway to enhance the performance of low-carbon steel in demanding environments.…”
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Field-based soil extractions capture more amino acids that are lost during short-term storage by Scott Buckley, Sandra Jämtgård

“…Aqueous soil extraction is a commonly used method to extract nitrogen (N) from soil. However, the disturbance of collection, transportation, and storage before extraction can potentially lead to mineralisation of extractable organic N pools, and as such may bias our interpretations of plant-available N towards inorganic N. …”
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Variáveis dimensionais de sementes de soja que influenciam o processo de semeadura Influence of soybean seed size in seeding processes by Sérgio R. dos Santos, Pedro H. Weirich Neto, Emerson Fey, Celso Wobeto

“…The dependent variables were percentage of disc cells filling and percentage of the physical damage to seed. The best subsets method, is Minitab software, which adjusted well to experimental data. …”
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Hybrid liquid–PCM thermal management for high–capacity lithium–ion batteries under fast charging: A parametric comparative study by Houssein Ammar, Mahdi Delbani, Farouk Fardoun, Bassem El Zoghbi, Hussein Mouzanar, Jalal Faraj, Mahmoud Khaled

“…Under the same conditions, the PCM–based method achieved 42°C with a variation of only 1.4°C, demonstrating improved temperature uniformity. …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…The key steps in our process included developing a new algorithm to extract accurate seafloor data from ICESat-2 laser measurements, and a neural network that incorporated both spectral information from satellite images and the physical principles of light interaction in water bodies. We tested our method in the South China Sea, where it produced highly accurate results with a coefficient of variation (R2) value >0.93 and a root mean square error (RMSE) < 0.83 m when compared to actual measurements from an island in the area. …”
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