Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs by Andre C. Araujo, Jay S. Johnson, Jason R. Graham, Jeremy Howard, Yijian Huang, Hinayah R. Oliveira, Luiz F. Brito

“…Therefore, we aimed to estimate transgenerational epigenetic heritability, percentage of resetting epigenetic marks, genetic parameters, and predicting breeding values using genetic and epigenetic models for growth, body composition, and reproductive traits in Landrace pigs using routinely recorded datasets. Birth and weaning weight, backfat thickness, total number of piglets born, and number of piglets born alive (BW, WW, BF, TNB, and NBA, respectively) were investigated. …”
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Benefits, problems, and optimal timing of administration of indocyanine green fluorescence cholangiography in laparoscopic cholecystectomy by Hitoshi Saito, Shinichi Kinami, Kaori Maruyama, Yuta Sannomiya, Hiroyuki Takamura

“…This study investigated the advantages and disadvantages of this modality, particularly the optimal timing of administration of ICG fluorescence.Design This was a retrospective analysis of prospectively collected patient data.Setting Data were gathered from a single institution.Participants 69 patients scheduled for cholecystectomy were included.Interventions We administered intravenous ICG injections at three different times: preoperatively (5 mg/body weight (BW), 15 min before incision), morning of the surgery (12.5 mg/BW 4 hours before surgery), and on the day before the surgery (25 mg/BW, 20 hours before surgery). …”
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Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies by Qiwang Mo, Jizhongrong Wu, Yi Lu, Xiao Zhang

“…Dose–response meta-analysis was also performed for studies reporting categorical risk estimates for at least three quantitative levels of PDIs, hPDIs and uPDIs.ResultsA total of 11 eligible cohort studies (13 datasets) were eventually included in this meta-analysis. …”
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Case for hospital nurse-to-patient ratio legislation in Queensland, Australia, hospitals: an observational study by Carol Windsor, Patsy Yates, Linda H Aiken, Clint Douglas, Matthew D McHugh

“…Objectives To determine whether there was variation in nurse staffing across hospitals in Queensland prior to implementation of nurse-to-patient ratio legislation targeting medical-surgical wards, and if so, the extent to which nurse staffing variation was associated with poor outcomes for patients and nurses.Design Analysis of cross-sectional data derived from nurse surveys linked with admitted patient outcomes data.Setting Public hospitals in Queensland.Participants 4372 medical-surgical nurses and 146 456 patients in 68 public hospitals.Main outcome measures 30-day mortality, quality and safety indicators, nurse outcomes including emotional exhaustion and job dissatisfaction.Results Medical-surgical nurse-to-patient ratios before implementation of ratio legislation varied significantly across hospitals (mean 5.52 patients per nurse; SD=2.03). …”
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Seasonal and Regional Differences in Extreme Rainfall Events and Their Contribution to the World’s Precipitation: GPM Observations by Shailendra Kumar, Yamina Silva, Aldo S. Moya-Álvarez, Daniel Martínez-Castro

“…In the present study, five-year of precipitation features (PFs) datasets, based on Global Precipitation Measurement (GPM), are used to investigate the global and regional characteristics of extreme rainfall events (EREs). …”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…Conclusions The results show that GS-DTA achieves good performance in terms of MSE, CI, and r2 m on the Davis and KIBA datasets, improving the accuracy of DTA prediction.…”
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Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery by Isiaka Lukman Alage, Yumin Tan, Ahmed Wasiu Akande, Agus Suprijanto

“…Our method includes: (1) evaluating a spatiotemporal deep learning algorithm, particularly U-Net and DeepLab3, with various ResNet backbones across eight temporal datasets for delineating deforestation; (2) employing a Bayesian temporal advancing approach to combine deforestation detection from the Sentinel-1 and (3) conducting frontier analysis based on biannual results to assess patch size distribution and formation speed from 2020 to 2023. …”
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Use of 18F-NaF PET in the staging of skeletal metastases of newly diagnosed, high-risk prostate cancer patients: a nationwide cohort study by Christian Torp-Pedersen, Mette Nørgaard, Helle D Zacho, Lars J Petersen, Anna Winther Mogensen, Marie T Pank

“…Objective To determine whether preoperative staging of high-risk prostate cancer with 18F-sodium-fluoride (18F-NaF) positron emission tomography (PET) reduces the risk of skeletal metastases.Design Nationwide, population-based cohort study using real-world data.Setting The study used national health registries, including all sites in Denmark from 2011 to 2018.Participants Newly diagnosed high-risk prostate cancer patients who underwent radical prostatectomy from 2011 to 2018. …”
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Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being by Xingwei Yang, Guang Li

“…We empirically evaluated the effectiveness of our framework by applying machine learning models to detect depression, reporting accuracy, recall, precision, and F1-score using social media status updates from 1047 users along with their associated depression diagnosis questionnaire scores. These datasets also include user postings, network connections, and personality responses. …”
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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

“…Experiments conducted on public datasets, including URPC, Brackish, and TrashCan, showed that the mAP@0.5 reached 74.1%, 97.5%, and 66.2%, respectively, with parameter sizes and computational complexities of 2.7M and 7.2 GFLOPs, and the model size is only 5.9 Mb. …”
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Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling by Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang

“…Trained on high-fidelity FEM-generated datasets, Deep-TEMNet achieves exceptional accuracy in reproducing electromagnetic field distributions across diverse geological scenarios, with a mean squared error of 0.00000134 and a root mean square percentage error of 0.002373019. …”
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Evaluation of genomic and phenomic prediction for application in apple breeding by Michaela Jung, Marius Hodel, Andrea Knauf, Daniela Kupper, Markus Neuditschko, Simone Bühlmann-Schütz, Bruno Studer, Andrea Patocchi, Giovanni AL Broggini

“…Similar average predictive abilities across traits indicate that imputed RADseq data could be a suitable genotyping alternative to SNP array datasets. The best-performing scenario using near-infrared spectroscopy data for phenomic prediction showed a 0.35 decrease in average predictive ability across traits compared to conventional genomic prediction, suggesting that the tested phenomic prediction approach is impractical. …”
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MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture by Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan

“…Based on the aforementioned encoding-decoding structure and multi-scale feature fusion, MFFTNet outperforms existing methods on the point cloud semantic segmentation datasets ShapeNetPart and S3DIS.…”
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Conditional cash transfers and mortality in people hospitalised with psychiatric disorders: A cohort study of the Brazilian Bolsa Família Programme. by Camila Bonfim, Flávia Alves, Érika Fialho, John A Naslund, Maurício L Barreto, Vikram Patel, Daiane Borges Machado

“…<h4>Methods and findings</h4>This cohort study utilised Brazilian administrative datasets, linking social and health system data from the 100 Million Brazilian Cohort, a population-representative study. …”
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Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

“…The ultimate goal of this methodology is to generate extensive datasets encompassing diverse operating conditions that can be used further to estimate the health of the bearing and possibly be used for training predictive algorithms to estimate bearing RUL in motors. …”
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Compressive strength prediction models for concrete containing nano materials and exposed to elevated temperatures by Hany A. Dahish, Ahmed D. Almutairi

“…In the present study, two machine learning algorithms, random forest (RF) and M5P decision tree, and linear regression were used for developing prediction models for the compressive strength (CS) of concrete containing nano alumina (NA) and carbon nanotubes (CNT) and being subjected to elevated temperatures. Datasets of 169 tested concrete specimens of 100 × 100 × 100 mm were gathered from the literature. …”
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CNN-Based Time Series Decomposition Model for Video Prediction by Jinyoung Lee, Gyeyoung Kim

“…To assess the performance of the proposed technique, experiments were conducted using the moving MNIST, KTH, and KITTI-Caltech benchmark datasets. In the experiments on moving MNIST, despite a reduction of approximately 55% in the number of parameters and 37% in computational cost, the proposed method improved accuracy by up to 7% compared to the previous approach.…”
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Exploring the causal role of plasma metabolites and metabolite ratios in prostate cancer: a two-sample Mendelian randomization study by Changzhou Feng, Haining Li, Chu Zhang, Ying Zhou, Huanhuan Zhang, Ping Zheng, Shaolin Zhao, Lei Wang, Jin Yang

“…By employing a novel two-sample Mendelian randomization (MR) approach, this study aims to elucidate the causal relationships between the circulating metabolome and PCa risk, utilizing comprehensive data on genetically determined plasma metabolites and metabolite ratios.MethodsFor the MR analysis, we utilized data from the GWAS Catalog database to analyze 1,091 plasma metabolites and 309 ratios in relation to PCa outcomes within two independent GWAS datasets. The inverse variance weighted (IVW) method was the primary approach for determining the existence of the causal relationship, supplemented by additional MR methods for heterogeneity, pleiotropy, and cross-validation. …”
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Pneumothorax in Mechanically Ventilated Patients with COVID-19 Infection by Raziye Ecem Akdogan, Turab Mohammed, Asma Syeda, Nasheena Jiwa, Omar Ibrahim, Rahul Mutneja

“…A surgical chest tube or pigtail catheter was placed for the management of pneumothorax. …”
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A Strangulated Congenital Diaphragmatic Bochdalek Hernia Diagnosed in an Adult by Warsinggih Warsinggih, Julianus Aboyaman Uwuratuw, Arham Arsyad, Muhammad Faruk

“…A segmentectomy was performed on the transverse colon, followed by an end-to-end anastomosis, a diaphragmatic plasty, and the placement of an intrapleural catheter. In conclusion, diagnosing a diaphragmatic hernia before surgery can be difficult due to its rarity and wide range of symptoms. …”
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