Are there gender differences in mental healthcare utilisation preceding deaths of despair? A retrospective cohort study of Norwegian register data (2008–2017) by Kristian Heggebø, Jørn Ljunggren

“…The present study examines whether men use fewer mental healthcare services than women during the years before dying from diseases of despair.Design Retrospective cohort study: population-wide administrative register data, covering all registered inhabitants of Norway, are analysed using descriptive statistics, logistic regression and ordinary least squares linear probability models. …”
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3D Volumetric Strain Distribution of the Cerro Prieto Geothermal Field Inferred From Inverse Modeling of InSAR and Leveling Data by Luis A. Gallardo, Olga Sarychikhina, Ewa Glowacka, Braulio Robles

“…Abstract Advanced Interferometric Synthetic Aperture Radar (InSAR) data has led to an extensive observation of Earth's surface displacements. …”
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Multidimensional Small Baseline Subset (MSBAS) Software for Constrained and Unconstrained Deformation Analysis of Partially Coherent DInSAR and Speckle Offset Data by Sergey V. Samsonov

“…Differential Interferometric Synthetic Aperture Radar (DInSAR) and speckle offset data are used to measure ground deformation. Computing deformation time series from these data can be challenging due to varying radar line-of-sight acquisition geometry, rapid coherence loss, and the large datasets involved requiring computationally intensive processing. …”
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Re-challenge of Platinum-based Chemotherapy for Platinum-refractory Patients with Recurrent or Metastatic Head and Neck Cancer: Claims Data Analysis in Japan by Makoto Tahara, Issei Doi, Tatsunori Murata, Sari Mishina, Shinji Takai, Hirokazu Kaneko

“… # Methods This is a retrospective study using data from a Japanese hospital claims database stored in electronic hospital information systems. …”
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Multimorbidity, disease count, mortality and emergency care use in persons attending the emergency department: a cross-sectional data-linkage study by Chris McParland, Mark A Cooper, David J Lowe, Bethany Stanley, Bridget Johnston

“…Deployed algorithms were sufficiently sensitive to detect associations, despite limited access (21 months) to secondary-care data. This should allow for the construction of more robust models to prospectively identify persons at risk of poor outcomes in similar populations.…”
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(H-DIR)²: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers by Davide Tosi, Roberto Pazzi

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Descriptive Epidemiology of Soil-Transmitted Helminth Infections in the United States: Using Big Data to Characterize Patients and Analyze Parasitic Disease Trends by Chad L. Cross, Bryson Carrier, Miklo A. A. Alcala, Louisa A. Messenger

“…Data were obtained from the Healthcare Cost and Utilization Project National Inpatient Sample. …”
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Inference for Two-Parameter Birnbaum–Saunders Distribution Based on Type-II Censored Data with Application to the Fatigue Life of Aluminum Coupon Cuts by Omar M. Bdair

“…This study addresses the problem of parameter estimation and prediction for type-II censored data from the two-parameter Birnbaum–Saunders (BS) distribution. …”
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Disparities in Clinical Outcomes Observed Within Electronic Health Record Data From a Statewide Cohort of Pulmonary Arterial Hypertension Patients by Rachel Dalton, Ankit A. Desai, Tianze Jiao, Julio D. Duarte

“…A retrospective, population‐based study of electronic health record data from the OneFlorida Data Trust was completed. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Efficiency, low-power consumption, and real-time processing in embedded machine learning implementations are critical, particularly for models deployed in environments with large-scale data processing and resource-constrained environments. …”
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Evaluating methods to define place of residence in Canadian administrative data and the impact on observed associations with all-cause mortality in type 2 diabetes by Danielle K Nagy, Lauren C Bresee, Dean T Eurich, Scot H Simpson

“…Methods A diabetes cohort of new metformin users was identified from administrative data in Alberta, Canada between 2008 and 2019. An individual’s residence (rural/urban/metropolitan) was defined from postal codes using 4 different methods: residence defined at 1-year before first metformin (this served as the reference model), comparison 1- stable residence for 3 years before first metformin, comparison 2– residence as time-varying (during the outcome observation window), and comparison 3 - nested case control (residence closest to the index date after identifying cases and controls). …”
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Multicenter food protein–induced enterocolitis syndrome (FPIES) data collection: Leveraging a REDCap FPIES registry for improved clinical outcomes by Ankona Banerjee, MSc, J. Andrew Bird, MD, Amy M. Scurlock, MD, Pooja Varshney, MD, Elizabeth Brunner, MD, Ankur Bhagwath, BSc, Benjamin Daines, MD, Malika Gupta, MD, Tevon Hood, DO, Maria Lee, MD, Michelle Lee, BScA, Emily Seminara, BA, Rachel Smith, RN, Gail Tan, MD, Marion Jose Valladares, MD, Hiral Waghela, MD, Duc T. Nguyen, MD, PhD, Sara Anvari, MD, MSc

“…Results: The registry includes patients with physician diagnosis of FPIES (ICD-10 code K52.21) from January 2015. Longitudinal REDCap instruments for FPIES data collection include: age at first reaction, age at diagnosis, reaction timing, symptoms, treatment, medical care or hospitalization for reaction, dietary triggers, atopic comorbidities, family history of atopy and FPIES, oral food challenge procedures (eg, intravenous line placement, dosing protocol, observation period, reaction timing, symptoms and treatment), age at food trigger resolution, food-trigger IgE, cases converting from atypical FPIES to IgE-mediated food allergy, and sample collection data. …”
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High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

“…At the data level, a non‐integrated spherical harmonic model and Differential Code Bias correction method are employed to significantly reduce interpolation errors and improve model accuracy. …”
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User Requirements and Conceptual Design for an Electronic Data Platform for Interhospital Transfer Between Acute Care Hospitals: User-Centered Design Study by Pamela Garabedian, Jazzarae Kain, Srinivas Emani, Stephanie Singleton, Ronen Rozenblum, Lipika Samal, Stephanie Mueller

“…ResultsQualitative analysis revealed that a significant number of frontline clinicians experience suboptimal availability of clinical information in the EHR at the time of IHT, including gaps in communication, incomplete data, and inefficient access to clinical data. User requirements emerged from these themes and primarily focused on information prioritization, data accessibility, and workflow and efficiency. …”
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Causes of under-five mortality using verbal autopsies in urban slum areas in Bangladesh: a cross-sectional analysis of surveillance data by Md Arif Billah, Mohammad Zahirul Islam, Razib Chowdhury, Sohana Shafique, Bidhan Krishna Sarker, M. Munirul Alam Bhuiyan, Sayed Saidul Alam, Minjoon Kim, Md Ziaul Matin, Margub Aref Jahangir, Jannatul Ferdous, Maya Vandenent, Md. Abdur Razzaqul Alam, Syed Manzoor Ahmed Hanifi, Abdur Razzaque, Anisur Rahman

“…. # Methods Since October 2020, the Urban Health and Demographic Surveillance System (Urban HDSS) has been collecting verbal autopsy information for neonates, children, and adults to report the causes of death. We used the data collected by the trained Field Workers- from all households (30,857) in the ongoing HDSS area, comprising 118,238 people. …”
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Trends in initial pharmacological COPD treatment in primary care (2010–2021): a population-based study using the PHARMO Data Network by Guilherme Rodrigues, Joana Antão, Qichen Deng, Brenda N. Baak, Alda Marques, Frits M. E. Franssen, Martijn A. Spruit

“…Methods A repeated cross-sectional study was conducted via the PHARMO GP Database. Data were extracted from the electronic health records of individuals managed by general practitioners in the Netherlands within the PHARMO Data Network. …”
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Comanagement with rheumatology and prescription biologics filled during pregnancy in women with rheumatic diseases: a retrospective analysis of US administrative claims data by Jonathan Kay, Kate L Lapane, Divya Shridharmurthy, Jonggyu Baek, Anthony Nunes, Shao-Hsien Liu

“…Objectives To evaluate comanagement with rheumatology and biological prescriptions filled during pregnancy among women with axial spondyloarthritis (axSpA), rheumatoid arthritis (RA) or psoriatic arthritis (PsA) and to examine factors associated with receiving comanagement with rheumatology during pregnancy.Design A retrospective analysis of US claims data.Setting Commercially insured enrollees using data from the 2013–2018 IBM MarketScan Commercial Claims and Encounters Database.Participants We identified 4131 pregnant women aged ≤55 years from the 2013–2018 IBM MarketScan Commercial Claims and Encounters Database with an International Classification of Disease, 9th Revision/10th Revision codes for RA, axSpA or PsA, with continuous enrolment at ≥3 months before the date of the last menstrual period (LMP) (index date) and throughout pregnancy.Primary outcomes Filled biologics (prescriptions and infusions) claims were categorised by 90 days before the LMP and trimester, as were primary care, obstetrician and rheumatological claims.Results The prevalence of axSpA, RA and PsA was 0.7%, 0.2% and 0.04% among reproductive age women. …”
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Comparative analysis of the frequency of comorbid diseases in axial psoriatic arthritis and other variants of axial spondyloarthritis. Data from a hospital cohort by A. A. Yanushonite, Yu. L. Korsakova, T. V. Korotaeva, E. E. Gubar, E. Yu. Loginova, M. M. Urumova, A. E. Dimitreva, S. I. Glukhova

“…A high frequency of comorbidities, mainly cardiovascular and metabolic diseases, was found in both groups. These data should be considered in the choice of therapy and optimization of existing treatment algorithms.…”
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Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics by Jin Jin, Ping Cao, Jun Zhang, Yanchao Wang, Chenxi Miao, Jie Li, Xiaohong Bai

“…Based on the available laboratory experiments, the intact BPM (bonded-particle model) and other BPMs with a single open prefabricated flaw were simulated by PFC (Particle Flow Code). The volume strain rate field data before the peak stress have been obtained from two hundred measurement circles across each model. …”
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Analysis of crack growth problems using the object-oriented program bemcracker2D by Gilberto Gomes, Antonio C.O. Miranda

“…The numerical results are compared with those of the finite element method (FEM) and correlated with experimental data of fatigue crack-growth tests for two-dimensional structural components under simple loading, aiming to demonstrate the accuracy and efficiency of the methodology adopted, as well as to evaluate the robustness of the BemCracker2D code.…”
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