The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data by Wenjing Wang, Biao Wu, Jian Li, Yibiao Shang, Mengting Liu, Qi Fang, Han Zhang, Xiang Li, Dongdi Wu

“…Given the cross-sectional design and the relatively small sample of BC cases (n = 326), the findings should be viewed with caution. …”
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Epidemiology and Treatment of Olecranon Fractures: a nationwide register-based analysis of 27,880 cases in Denmark from 1999 to 2018 by Walid Zeyghami, Dennis Karimi, William M. Hagemann, Per H. Gundtoft, Bjarke Viberg, Tazio Maleitzke

“…While comparative works on surgical OF management exist, epidemiological studies are limited by short time spans and small sample sizes. This study investigates OF incidence rates (IRs), and treatment trends in Denmark over a 20-year period from 1999 to 2018. …”
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MRI-based 3D models of cranial nerves in clinical care: a systematic review by Manon C. M. Moll, Luc H. E. Karssemakers, Milou Baarsma, Loes M. M. Braun, Leon C. ter Beek, Stevie van der Mierden, Baris Karakullukcu, Ludi E. Smeele, Maarten J. A. van Alphen, Matthijs H. Valstar

“…Data heterogeneity and small sample sizes hinder definitive conclusions about the best MRI techniques and segmentation protocols for 3D visualization of cranial nerves. …”
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Developing a contextually and culturally relevant benefit-sharing framework for pathogen genomic research and biobanking in africa: a deliberative expert approach by Pamela Emefa Selormey, Irene H. Tsey, John Ganle, Patricia Akweongo, Paulina Tindana

“…In the African context, there are currently limited benefit-sharing frameworks to guide researchers, and some often rely on personal relationships and judgments in making decisions. Consequently, there have been calls for the development of contextually and culturally relevant benefit-sharing frameworks for pathogenic research and biobanking in Africa. …”
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Microbiological Diagnostic Performance and Clinical Effect of Metagenomic Next-Generation Sequencing for the Detection of Immunocompromised Patients With Community-Acquired Pneumon... by Zheng H, Peng P, Wang S, Zhang B, Yang L, Wang Y, Li L, Pang G

“…Treatment regimens and clinical outcomes were meticulously documented.Results: The sensitivity of mNGS was greater than that of the culture method across all samples (79.05% vs 16.03%; p < 0.001). mNGS identified pathogens missed by culture in 59.52% of patients and detected polymicrobial infections that were not detected by culture in 47.62% of patients. …”
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Transversal Competencies in Operating Room Nurses: A Hierarchical Task Analysis by Francesca Reato, Dhurata Ivziku, Marzia Lommi, Alessia Bresil, Anna Andreotti, Chiara D’Angelo, Mara Gorli, Mario Picozzi, Giulio Carcano

“…<b>Methods:</b> A qualitative descriptive design was adopted, combining shadowed observation with Hierarchical Task Analysis (HTA). A convenience sample of 46 participants was recruited from a university and a public hospital in Italy. …”
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Impact of Marketing, Sales and Innovations on Business Performance Analysis in Intellectual Capital Research: Latvia, Estonia and Lithuania

“…The study used a sample of Nasdaq Baltic Issuers in Latvia, Lithuania and Estonia for the prepandemic period of 2012--2019 and collected 84 data units from the annexes to yearly financial statements explaining the cash flow and profit and loss statements of each. …”
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Spatial Distribution Pattern of Forests in Yunnan Province in 2022: Analysis Based on Multi-Source Remote Sensing Data and Machine Learning by Guangyang Li, Hongyan Lai, Bangqian Chen, Xiong Yin, Weili Kou, Zhixiang Wu, Zongzhu Chen, Guizhen Wang

“…The resultant forest map provides valuable data for ecological assessments, forest conservation initiatives, and informed policy decision-making.…”
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Qualitative study exploring the barriers and facilitators to low-dose aspirin adherence in pregnant women with placental dysfunction risk in the UK by Danya Bakhbakhi, Christy Burden, Abigail Fraser, Anna Davies, Sarah Chapman, Charlotte Williams, Francesca Neuberger, Sadie Mullin

“…Established habits and swallowing LDA whole supported taking it.Conclusions We identified motivational and implementation-related barriers and facilitators to LDA adherence in a clinical sample of women with placental dysfunction risk. Women require more information to enhance understanding and inform their decision, and require support to establish effective habits. …”
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Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction by Xin Huang, Xin Huang, Di Ouyang, Weiming Xie, Huawei Zhuang, Siyu Gao, Pan Liu, Lizhong Guo

“…This study aimed to develop and validate machine learning algorithms utilizing transcriptomic signatures to predict T1DM onset in children up to 46 months before clinical diagnosis.MethodsWe analyzed 247 peripheral blood RNA-sequencing samples from pre-diabetic children and age-matched healthy controls. …”
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‘It’s basically ‘have that or die’’: a qualitative study of older patients’ choices between dialysis and conservative kidney management by Joanna Coast, Fergus Caskey, Leila Rooshenas, Barnaby Hole, Lucy Selman, Miranda Scanlon, Rachael Morton

“…As culture and faith can play a large part in decisions involving life and death, our findings may not be applicable to those in other communities. …”
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Study on the changes and influencing factors of depression in Chinese women with cancer: an analysis based on CHARLS panel data by Na Wang, Mengran Chang, Shidong Liu, Bing Chen

“…After data cleaning, a balanced short panel dataset containing 1,030 samples was obtained. The depression characteristics and development trends in women with cancer were analyzed using the panel statistical method, and the influence of socio-demographic factors was examined using a panel stochastic trend model.ResultsThe overall depression of Chinese women with cancer has deteriorated, putting them at risk of moderate depressive disorder. …”
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Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil by Rafael Felippe Ratke, Paulo Roberto Nunes Viana, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Carlos Eduardo da Silva Santos, Alan Mario Zuffo, Jorge González Aguilera

“…A total of 20 g of the dried and homogenized soil sample was added to the Petri dish to perform spectral measurements. …”
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Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI by Md Ismail Hossain Siddiqui, Shakil Khan, Zishad Hossain Limon, Hamdadur Rahman, Mahbub Alam Khan, Abdullah Al Sakib, S M Masfequier Rahman Swapno, Rezaul Haque, Ahmed Wasif Reza, Abhishek Appaji

“…These performances are superior to previous studies in controlling class imbalance and providing stable predictions over different samples. Additionally, Explainable AI (XAI) techniques were incorporated to ensure transparent and interpretable predictions, aiding clinicians in their decision-making processes. …”
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A Multicentric Study on Adverse COVID-19 Outcomes Among Pregnant and Nonpregnant Women in Multidisciplinary Hospitals of Kazakhstan by Zhansaya Nurgaliyeva, Lyudmila Pivina, Sharapat Moiynbayeva, Galiya Alibayeva, Meruyert Suleimenova, Nailya Kozhekenova, Moldir Abdullina, Maulen Malgazhdarov, Mira Turbekova, Dejan Nikolic, Milan Lackovic, Antonio Sarria-Santamera, Milena Santric-Milicevic

“…Future research should incorporate larger matched samples to comprehensively explore the association between additional factors and clinical conditions.…”
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Challenges and Potential of Remote Sensing for Assessing <i>Salmonella</i> Risk in Water Sources: Evidence from Chile by Rayana Santos Araujo Palharini, Makarena Sofia Gonzalez Reyes, Felipe Ferreira Monteiro, Lourdes Milagros Mendoza Villavicencio, Aiko D. Adell, Magaly Toro, Andrea I. Moreno-Switt, Eduardo A. Undurraga

“…A total of 1851 water samples collected between 2019 and 2023, including 704 positive samples for <i>Salmonella</i>, were used to develop a predictive model. …”
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The Impact of Earning Smoothing through Real Activities and its Components on Labor Force Investment Efficiency by Batool Ismael Hasan, Mehdi Heydari, Hamzeh Didar

“…This sample was then subjected to analysis using multivariate regression models.   …”
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Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and... by Mequannent Sharew Melaku, Lamrot Yohannes, Eliyas Addisu Taye, Nebebe Demis Baykemagn

“…In addition, accuracy and the area under the curve were used to evaluate the performance of predictive models.ResultFrom a total weighted sample of 26,798 men, 8,786 men (32.79) aged 15 to 59 years reported chewing khat. …”
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Potential application of rain water harvesting technology as an alternative clean water source to mitigate land subsidence by H.S. Hasibuan, B.N. Elizandri, F.W. Asrofani, G.A.Y. Putra

“…The finding indicates that the belief that rainwater harvesting can effectively meet water needs is a key driver in the decision to utilize rainwater harvesting.CONCLUSION: The expanding rainwater harvesting is very related to the mitigating the land subsidence, through the decreasing depending on extracting groundwater as their source of wáter supply. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…To build the dataset, 401 samples were collected from two fields in Prince Edward Island (PEI) and 122 samples from the New Brunswick (NB), Canada. …”
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