Acceptability of the ePOWER intervention: Managing previvors' cancer-related uncertainty and supporting decision making by Marleah Dean, Bethany Jowers, Claire Conley, Erica Camacho, Whitney Espinel, Kimberly A. Kaphingst

“…Acceptability was assessed by quantitative data (TAPS scores) and qualitative data (interviews). …”
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IMPROVING THE ACCURACY OF DETERMINING DEVIANT GROUPS IN THE SELECTION AND MONITORING OF THE CRITICAL INFORMATION INFRASTRUCTURE ENTERPRISES STAFF by Vladimir L. Evseev, Anton S. Burakov, Anatoly V. Marchenko

“…The essence of the method is to perform clustering to divide a large array of data on the behavior of employees of CII enterprises into clusters. …”
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Four decades of spatio-temporal trends in Miankaleh Wetland´s water body and vegetation as revealed by remote sensing time series by Nima Arij, Hooman Latifi, Arvin Fakhri, Rohollah Esmaili

“…Here, we employed a 40-year time series of Landsat data, supplemented by Sentinel-1 SAR imagery and Sentinel-2 multispectral data for enhanced recent-period analysis, and applied non-parametric trend analysis to examine changes in water bodies, vegetation, and climatic conditions in Miankaleh peninsula, encompassing an extensive Ramsar site in Iran. …”
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Trends, public health implications, and emerging concerns of Lassa fever in Ondo state, Nigeria by Idowu Peter Adewumi, Abisola Esther Babatope, Kayode Olayiwola Adepoju, Abosede Mary Olaleye, Damola Olanipekun Ajisafe, Oluyemi Adewole Okunlola

“…The data was analysed and visualized using line and combo charts to show trends over time. …”
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Using a deep learning neural network to predict flight path by Oleksandr Bezsonov, Serhii Liashenko, Oleg Rudenko, Sofiia Rutska, Kateryna Vashchenko

“…To further improve and test the model’s predictive capabilities, real-world data, including eyewitness videos, were used. The architecture of the neural network includes long short-term memory (LSTM) units that can process sequential data, making them ideal for predicting dynamic UAV trajectories. …”
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Developing soil quality indices to investigate degradation impacts of different land use types in Northern Ethiopia by Araya Kahsay, Mitiku Haile, Girmay Gebresamuel, Muktar Mohammed

“…This study was aimed to assess soil quality of three land use managements (CL, cropland; GR, grassland; SL, shrubland) in Northern Ethiopia, using two data sets (Total data set (TDS) and minimum data set (MDS)), linear and non-linear indicator transformation techniques and three indexing scenarios (Additive (SQIa), nemoro (SQIn) and weighted additive (SQIw)). …”
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An Improved Generative Adversarial Network for Generating Multi-Scale Electronic Map Tiles Considering Cartographic Requirements by Wei Zhu, Qingsheng Guo, Nai Yang, Ying Tong, Chuanbang Zheng

“…Multi-scale electronic map tiles are important basic geographic information data, and an approach based on deep learning is being used to generate multi-scale map tiles. …”
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Advanced Trajectory Analysis of NASA’s Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter’s Orbital Dynamics by Ashraf ALDabbas, Zaid Mustafa, Zoltan Gal

“…This study focuses on change detection in terms of Juno’s trajectory, leveraging cutting-edge data computing techniques to analyze its orbital dynamics. …”
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Improving animal welfare in wildlife shooting: The importance of projectile energy by Jordan O. Hampton, Peter J. Adams, David M. Forsyth, Brendan D. Cowled, Ivor G. Stuart, Tim H. Hyndman, Teresa Collins

“…We collected postmortem data via visual inspection from 482 rabbits that were killed. …”
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Retinal assessment in 143 patients with white matter lesions: the potential of OCTA as an evaluation tool by Dong Zhang, Xueying Jiang, Yan Zhang, Jingcui Qin

“…The relationship between cognitive function and various OCTA parameters was assessed using quadratic and cubic simulation curve models. Data following a normal distribution are presented as means, while non-normally distributed data are reported as medians. …”
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Patient and public involvement in healthcare: a systematic mapping review of systematic reviews – identification of current research and possible directions for future research by Maria-Jose Santana, Axel Wolf, Jana Bergholtz, Vanessa Crine, Helena Cleeve, Ida Björkman

“…A broad search strategy was applied to capture the variation in terminology.Data sources MEDLINE, CINAHL and PsycINFO were searched from 1 January 2001 to 5 December 2022.Eligibility criteria We included systematic reviews of empirical studies focusing on PPI in the mesolevel and macrolevel of healthcare.Data extraction and synthesis Three independent reviewers used standardised methods to screen studies and extract data. …”
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Clinical performance analysis and cost-utility analysis of a mobile cataract surgery service in a rural setting in Thailand by Mantapond Ittarat, Wanrudee Isaranuwatchai, Sunee Chansangpetch

“…Data on corrected distance visual acuity (CDVA), quality of life (QOL) assessed by EQ-5D-5L questionnaire, and cost were prospectively collected at and compared between baseline and 3 months after treatment. …”
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Four-Year Outcome of Aflibercept Treatment-Naïve Patients for Neovascular Age-Related Macular Degeneration: Evidence from a Clinical Setting by Yanel Gayadine-Harricham, Virginie Rufin, Sandrine Law-Koune, Thi Ha Chau Tran

“…Data including age, gender, and visual acuity measured on Early Treatment of Diabetic Retinopathy Study charts (ETDRS) and injection numbers were recorded. …”
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Association between axial elongation and corneal topography in children undergoing orthokeratology with different back optic zone diameters by Qi Tan, Randy Kojima, Pauline Cho, Stephen J. Vincent

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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…EfficientDet enables the system to accurately identify potential fire outbreaks by analyzing visual data from the sensors. To facilitate efficient detection at the outbreak of forest fires, a bi-directional gated recurrent neural network (Bi-GRU-NN) is needed. …”
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Management of patients with autoimmune liver diseases on the basis of the latest EASL recommendations and our own experience (lecture to a practical doctor) by Yu. M. Stepanov, S. V. Kosynska, O. V. Pavlenko

“…It is important to clearly distinguish AIG, PBH, and PSC between each other. Epidemiological data indicate low prevalence of these diseases, but its growth is noted. …”
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Changing snow conditions are challenging moose (Alces alces) surveys in Alaska by Todd J. Brinkman, Kalin A. Kellie, Adele K. Reinking, Glen E. Liston, Natalie T. Boelman

“…Complete snow cover is required to reliably detect and count moose using visual observation from an aircraft. With inadequate snow to help generate high‐quality moose survey data, it is difficult for managers to determine if they are effectively meeting population goals and optimizing hunting opportunities. …”
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Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer. by Jaime B Matas-Bustos, Antonio M Mora-García, Moisés de Hoyo Lora, Alejandro Nieto-Alarcón, Francisco T Gonzalez-Fernández

“…Tested on temporally independent holdout data, our top model performed robustly across all metrics with 95% confidence intervals. …”
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Effect of esketamine on postoperative delirium in general anesthesia patients undergoing elective surgery: a meta-analysis of randomized controlled trials by Wenhui Zhang, Di Wang, Siru Li, Yutao Chen, Congjie Bi

“…We used RevMan5.4 software for data analysis. Dichotomous data was analyzed by risk ratios(RR) with a 95% confidence interval(CI), and continuous data by mean differences(MD). …”
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Comparative efficacy of different doses of platelet-rich plasma injection in the treatment of knee osteoarthritis: a systematic review and network meta-analysis by Majid Khalilizad, Seyedeh Tahereh Emadian, Mobin Marzban Abbas Abadi

“…We finally extracted data for four groups, including single PRP injection (PRP1), two PRP injections (PRP2), and three PRP injections (PRP3). …”
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