Chromosome-level reference genome assembly for the mountain hare (Lepus timidus) by Fekete, Zsófia, Absolon, Dominic E., Michell, Craig, Wood, Jonathan M. D., Goffart, Steffi, Pohjoismäki, Jaakko L. O.

“…The genome has a high degree of completeness based on the BUSCO score (mammalia_odb10 database), Complete: 95.1 % [Single copy: 92.3 %, Duplicated: 2.7 %], Fragmented 0.8 %, and Missing 4.1 %. …”
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Nonlinear associations of the hs-CRP/HDL-C index with metabolic dysfunction-associated steatotic liver disease and advanced liver fibrosis in US adults: insights from NHANES 2017–2... by Bin Liang, Xue Qiu, Jiansheng Huang, Yequan Lu, Hairong Shen, Jianchao Ma, Yongyu Chen

“…The study analyzed secondary data from the National Health and Nutrition Examination Survey (NHANES) 2017–2018 database. The hs-CRP/HDL-C index was calculated by the quotient of hs-CRP and HDL-C. …”
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Evidence Graph Analysis of Postoperative Pain Sensitization Induced by Perioperative Sleep Deprivation by XUE Jianjun, WANG Caihong, GUO Lingling, LI Xiuxia, ZHANG Jie, XU Ziqing, HOU Huaijing, YANG Kehu

“…ObjectiveTo describe and evaluate the clinical studies of postoperative pain sensitization caused by sleep deprivation through the evidence map system, understand the distribution of evidence in this field, and provide reference for subsequent evidence research.MethodsA computer-based search of PubMed, EMBASE, Cochrane library, Web of Science, CNKI, Wanfang Data, VIP and Chinese Biomedical Literature Database from inception to August 2023 was conducted to obtain intervention studies, observational studies and systematic reviews/Meta-analysis of postoperative pain sensitization caused by sleep deprivation. …”
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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

“…For the training of each methods, a custom database has been created using a low-cost, low-power custom IoT node deployed on a real farm to provide the most accurate data. …”
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Meta-Analysis of the Effect of Resistance Exercise Prescription on Glucose and Lipid Metabolism in Overweight and Obese Adults by SUN Yuxin, GUO Xiaoyuan, CHEN Shi, PAN Hui, ZHU Huijuan

“…ObjectiveTo explore the effect of resistance exercise on glycolipid metabolism in over-weight or obese people, with the aim of providing reference for the clinical development of appropriate resistance exercise programs.MethodsPubMed, Cochrane Library, EmBase, Web of Science, CNKI, Wanfang Data Knowledge Service Platform and VIP database were systematically searched to obtain the relevant literature on the effects of resistance exercise on glucose and lipid metabolism from the establishment of the library to December 31, 2023 in overweight and obese populations. …”
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Mortality trends of traumatic brain injuries in the adult population of the United States: a CDC WONDER analysis from 1999 to 2020 by Muhammad Hamza Dawood, Yusra Fazli, Sejal Lund, Shurjeel Uddin Qazi, Rija Tahir, Areehah Zafar Masood, Aiman Azam Qureshi, Saleha Safdar, Heraa Zaheer, Muhammad TayyabMuzaffar Chaychi

“…Methods We examined the death certificates sourced from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database to identify adults in whom TBI was documented as an underlying or contributing cause of death between 1999 and 2020. …”
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Migraine and subsequent chronic kidney disease risk: a nationwide population-based cohort study by Ming-Ju Wu, Chew-Teng Kor, Chia-Chu Chang, Shuo-Chun Weng, Chia-Lin Wu, Ping-Fang Chiu, Der-Cherng Tarng

“…All the participants were registered in the National Health Insurance Research Database.Participants Finally, data from 7156 subjects with migraine and 7156 propensity-score-matched control subjects were analysed.Primary outcome measure We used Cox proportional hazards regression to estimate adjusted HRs for incident CKD; subgroup analyses were performed to assess the interactive effects of migraine with demographics, comorbidities and long-term medications.Results The incidence of CKD was higher in the migraine group than in the control group. …”
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Sentralisasi Pengawasan Informasi Jaringan Menggunakan Blockchain Ethereum by Muhammad Fajar Sidiq, Akbari Indra Basuki, Halim Firdaus, Muhammad Aldi Baihaqi

“…Blockchain technology meets those three requirements by providing a reliable reporting and immutable database system. In this paper, we proposed a prototype of a centralized monitoring system that records network statistics and configurations into the blockchain ledger. …”
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Weight Change and Predictors of Weight Change Among Patients Initiated on Darunavir/Cobicistat/Emtricitabine/Tenofovir Alafenamide or Bictegravir/Emtricitabine/Tenofovir Alafenamid... by Bruno Emond, Carmine Rossi, Aurélie Côté-Sergent, Keith Dunn, Patrick Lefebvre, Marie-Hélène Lafeuille, Prina Donga

“…**Methods:** The Symphony Health, IDV® database (July 17, 2017 – September 30, 2019) was used to identify treatment naïve or virologically suppressed stable switchers who initiated DRV/c/FTC/TAF or BIC/FTC/TAF (index date) on or after July 17, 2018, were ≥18 years of age on the index date, and had ≥12 months of continuous clinical activity pre-index (baseline period). …”
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The Clinical and Economic Impact of Employees Who Are Care Partners of Patients with Multiple Sclerosis by Disease Severity by Barry Hendin, Richard A. Brook, Ian A. Beren, Nathan Kleinman, Cindy Fink, Amy L. Phillips, Carroline Lobo

“…**Methods:** Employees with spouses/domestic partners with MS from the Workpartners database (Jan. 1, 2010–Dec. 31, 2019) were eligible if: spouse/partner had at least 3 MS-related (ICD-9-CM/ICD-10-CM:340.xx/G35) inpatient/outpatient/disease-modifying therapy claims within 1 year (latest claim = index date); 6-month pre-index/1-year post-index enrollment; and age 18 to 64 years. …”
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Top health service concerns: a data mining study of the Shanghai health hotline by Lili Shi, Tong Zhao, Shimiao Shi, Tianyu Tan, Aksara Regmi, Yuyang Cai

“…This cleaned data was then organized into a structured database for further analysis. Using text mining, we examined various aspects of the calls, including duration, purpose, and topics discussed, to identify patterns and themes that emerged.ResultsThe calls were categorized into four main groups: complaints, suggestions, inquiries, and requests for assistance. …”
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Utilizing Hip Abduction Strength to Body-Weight Ratios in Return to Sport Decision-Making After ACL Reconstruction by Steven Higbie, Jacquelyn Kleihege, Brian Duncan, Walter R. Lowe, Lane Bailey

“… # Study Design Cohort study # Methods Data were gathered from a single-surgeon database and included baseline demographics. Clinical outcomes were assessed at the time of release to activity and included self-reported outcomes and a functional testing battery. …”
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Rekayasa E-Aquaculture untuk Pemantauan Tambak Udang secara Realtime dengan Model Multipoint Node by Muhamad Komarudin, Hery Dian Septama, Titin Yulianti, Muhamad Aby Wicaksono

“…Masterboard can work to send data to the Firebase cloud database so that the data may displayed in the monitoring application that has been developed. …”
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Impact of Pre-existing Type 2 Diabetes Mellitus and Cardiovascular Disease on Healthcare Resource Utilization and Costs in Patients With COVID-19 by Chi Nguyen, Christopher L. Crowe, Effie Kuti, Bonnie Donato, Rachel Djaraher, Leo Seman, Nancy Graeter, Thomas P. Power, Rinku Mehra, Vincent J. Willey

“…**Methods:** A retrospective observational study in COVID-19 patients using data from the Healthcare Integrated Research Database (HIRD®) was conducted. Patients with COVID-19 were identified between March 1, 2020, and May 31, 2021, and followed from first diagnosis or positive lab test to the end of health plan enrollment, end of study period, or death. …”
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Clinical Burden and Healthcare Resource Use of Asthma in Children in the UK by Gouia I, Joulain F, Zhang Y, Morgan CL, Khan AH

“…We assessed the clinical and economic burden of asthma in children in the UK to better understand the impact of pediatric asthma.Methods: This was a retrospective, case-matched, longitudinal analysis using the Clinical Practice Research Datalink GOLD database and linked patient-level data (Hospital Episode Statistics and Office for National Statistics datasets) of selected patient (aged 6– 11 years) records in 2017. …”
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Global Research Trends and Focus on the Link Between Heart Failure and NLRP3 Inflammasome: A Bibliometric Analysis From 2010 to 2024 by Lian Y, Zhang H, Xing W, Li S, Lai X, Jia S, Shang J, Liu H

“…Despite mounting evidence demonstrating the pivotal function of the NLRP3 inflammasome in HF, a thorough bibliometric examination of research focal points and trajectories in this domain has yet to be undertaken.Methods: Publications related to the NLRP3 inflammasome in HF were retrieved from the Web of Science database spanning 2010– 2024. The acquired data were subsequently analyzed utilizing various visualization instruments, including Citespace, VOSviewer, Scimago Graphica, and Microsoft Office Excel 2021.Results: A total of 282 papers were included in the analysis, authored by 2,130 researchers from 500 institutions across 34 nations/regions. …”
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Patient experience and burden of haemolytic disease of the foetus and newborn: a systematic review by P. Maurice, J. McCallion, M. Fitzgibbon, J. N. Barthelmes, W. Karmous, E. J. Hardy, S. A. Mitchell, C. R. Mitchell, J. Lee, W. Noel, Andras Borsi, J. M. Jouannic

“…This systematic review (SR) aimed to identify and summarise real-world evidence (RWE) related to the patient burden/experience and economic burden of HDFN. Methods Electronic database searches supplemented by handsearching of grey literature, were conducted to identify studies that reported the clinical patient burden/experience, and economic burden of HDFN in Europe, the Middle East, and Africa (EMEA). …”
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Clinical outcomes after immune checkpoint inhibitor-associated acute kidney injury: a cohort study by Vin-Cent Wu, Ting-Ya Yang, Min-Hsiang Chuang, Hong-Min Lin, Heng-Chih Pan, Yun Chou, Jui-Yi Chen

“…Kaplan-Meier analyses coupled with log-rank tests were conducted to estimate the survival probabilities.Setting Data were sourced from the TriNetX database spanning records from 25 March 2011 to 5 April 2024.Participants Patients with cancer aged ≥18 years treated with ICPi with or without AKI occurrence.Primary and secondary outcome measures The primary outcome was all-cause mortality, and secondary outcomes included major adverse kidney events (MAKE), major adverse cardiovascular events (MACE), the composite of MAKE or MACE with death, and end-stage renal disease.Results The study identified 926 patients with cancer who developed ICPi-AKI (mean age, 67.1±11.8 years; 57.4% men). …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…Methods By using data from the Gene Expression Omnibus (GEO) database, we employed machine learning methods to discover prognostic ARGs and create a risk score. …”
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TAME 2.0: expanding and improving online data science training for environmental health research by Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager

“…TAME 2.0 specifically includes training organized into the following chapters: (1) Data management to enable scientific collaborations; (2) Coding in R; (3) Basics of data analysis and visualizations; (4) Converting wet lab data into dry lab analyses; (5) Machine learning; (6) Applications in toxicology and exposure science; and (7) Environmental health database mining. Also new to TAME 2.0 are “Test Your Knowledge” activities at the end of each training module, in which participants are asked additional module-specific questions about the example datasets and apply skills introduced in the module to answer them. …”
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