Outcomes of 32,019 Deep Inferior Epigastric Perforator Flap Reconstructions: Insights from the Largest National Readmission Data by Sthefano Araya, MD, Heather Peluso, DO, Nathan Doremus, MD, Jaina Lane, MD, Heli Patel, BS, MBA, Lindsay Talemal, BS, Daniel Najafali, BS, Alexander H. Chang, BA, MS, Sameer A. Patel, MD, FACS

“…Patients had an International Classification of Diseases, Tenth Revision procedure code for DIEP flap reconstruction from January to November each year. …”
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Associations of sex on economic burden in patients with symptomatic obstructive hypertrophic cardiomyopathy: results from medical and pharmacy claims data by Michael Butzner, Sanika Amonkar, Meiling Chen, Eros Papademetriou, Ravi Potluri, Xing Liu, Theodore Abraham

“…Therefore, we evaluated the impact of sex on economic burden in symptomatic oHCM.MethodsMedical and pharmacy claims data were assessed from 2016 to 2021 to identify (ICD-10 code) adult patients with symptomatic oHCM in the United States. …”
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Water Volume and 3D Topographic Analysis of Hub Dam, Karachi, Using Remote Sensing and Global Bathymetry Data by Imran Ahmed Khan, Altaf Hussain Lahori

“…Data processing and visualization were conducted in Google Colab by python codes. …”
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Traumatic rib fractures: a marker of severe injury. A nationwide study using the National Trauma Data Bank by R Marijn Houwert, Yassine Ochen, Marilyn Heng, Rolf H H Groenwold, Jesse Peek, Noelle Saillant, Loek P H Leenen, Tarsicio Uribe-Leitz

“…Furthermore, although it has been suggested that there is a large heterogeneity among patients with traumatic rib fractures, there is insufficient literature reporting on the outcomes of different subgroups.Methods A retrospective cohort study using the National Trauma Data Bank was performed. All adult patients with one or more traumatic rib fractures or flail chest who were admitted to a hospital between January 2010 and December 2016 were identified by the International Classification of Diseases Ninth Revision diagnostic codes.Results Of the 564 798 included patients with one or more rib fractures, 44.9% (n=2 53 564) were patients with polytrauma. …”
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Trends in hospital admissions and mortality rates for asthma in Ecuador: a joinpoint regression analysis of data from 2000 to 2018 by Philip J Cooper, Alejandro Rodriguez, Natalia Romero-Sandoval, Angelita Cabrera, Sergio Barba

“…Background Although asthma has emerged as an important public health problem over recent decades in Latin America, there are limited published data on national hospital admission and mortality rates for asthma from countries in the region.Objective To analyse trends in asthma hospitalisation and mortality rates in Ecuador over a 19-year period from 2000 to 2018.Methods Hospital discharge and death certificates listing asthma, as defined in the International Classification of Diseases 10th Revision codes (J45 and J46), were used to analyse time trends in rates of hospital admissions and mortality for asthma. …”
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Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR‐species20K dataset by Stefano Puliti, Emily R. Lines, Jana Müllerová, Julian Frey, Zoe Schindler, Adrian Straker, Matthew J. Allen, Lukas Winiwarter, Nataliia Rehush, Hristina Hristova, Brent Murray, Kim Calders, Nicholas Coops, Bernhard Höfle, Liam Irwin, Samuli Junttila, Martin Krůček, Grzegorz Krok, Kamil Král, Shaun R. Levick, Linda Luck, Azim Missarov, Martin Mokroš, Harry J. F. Owen, Krzysztof Stereńczak, Timo P. Pitkänen, Nicola Puletti, Ninni Saarinen, Chris Hopkinson, Louise Terryn, Chiara Torresan, Enrico Tomelleri, Hannah Weiser, Rasmus Astrup

“…The FOR‐species20K dataset represents an important asset for developing and benchmarking DL models for individual tree species classification using proximally sensed laser scanning data. As such, it serves as a crucial foundation for future efforts to classify accurately and map tree species at various scales using laser scanning technology, as it provides the complete code base, dataset, and an initial baseline representative of the current state‐of‐the‐art of point cloud tree species classification methods.…”
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Adaptation of the WHO COVID-19 Clinical Progression Scale for Registry-Based Data: A Whole-Population Study in Sweden by Jerndal H, Kalucza S, Jakobsson F, Hviid A, Grove Krause T, Ahlm C, Normark J, Fonseca-Rodríguez O, Eriksson M, Fors Connolly AM

“…We aimed to develop and validate such a novel categorization with international applicability.Methods: The WHO Clinical Progression Scale was translated to a severity index utilizing ICD- and procedure-codes from outpatient, inpatient, intensive care, and mortality registries using the adult Swedish population and SARS-CoV-2 positive-test data (January 2020 – July 2022). …”
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What happens between first symptoms and first acute exacerbation of COPD – observational study of routine data and patient survey by Alex Bottle, Alex Adamson, Xiubin Zhang, Benedict Hayhoe, Jennifer K Quint

“…For each patient, the index (diagnosis) date was defined as the first record of COPD, either in primary care records via SNOMED-CT codes or in hospital admission data via International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. …”
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Estimation of firing rate from instantaneous interspike intervals by Lubomir Kostal, Kristyna Kovacova

“…The rate coding hypothesis is the oldest and still one of the most accepted hypotheses of neural coding. …”
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Performance of M-QAM MIMO PNC Based on MRC and ZR Techniques by Alaa A. Yassin, Ebtihal H. G. Yousif, Rashid A. Saeed, Hashim Elshafie, Abdullah Alenizi, Hesham Alhumyani

“…Physical-layer Network Coding (PNC) combined with MIMO techniques is introduced to optimize performance metrics and provide increased data throughput and full diversity gain. …”
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Debugmate: an AI agent for efficient on-call debugging in complex production systems by Rohan Modi, Navtej Reddy, Sai Sreenivas Kodur

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Visual search of neuropil-enriched RNAs from brain in situ hybridization data through the image analysis pipeline hippo-ATESC. by Roberto Ugolotti, Pablo Mesejo, Samantha Zongaro, Barbara Bardoni, Gaia Berto, Federico Bianchi, Federico Bianchi, Ivan Molineris, Mario Giacobini, Stefano Cagnoni, Ferdinando Di Cunto

“…The code is freely available on the web at http://ibislab.ce.unipr.it/software/hippo/.…”
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Digital Twin Framework for Bridge Slab Deterioration: From 2D Inspection Data to Predictive 3D Maintenance Modeling by Hyunhye Song, Kiyeol Kim, Jihun Shin, Gitae Roh, Changsu Shim

“…The integration of cumulative deterioration data significantly improves the accuracy of the performance predictions and facilitates data-driven maintenance and rehabilitation strategies.…”
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Artificial intelligence and consent: a feminist anti-colonial critique by Joana Varon, Paz Peña

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Complete genome sequence data of Clostridium isatidis BK32, a lignocellulose-degrading bacterium isolated from compostNCBINCBI by Pichpunleu Born, Ayaka Uke, Akihiko Kosugi

“…This data article presents the complete genome sequence of Clostridium isatidis BK32, an anaerobic, thermophilic bacterium isolated from compost in Japan. …”
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Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications by Farhana Manzoor, Cyruss A. Tsurgeon, Vibhuti Gupta

“…We found that 18% of studies have visualization techniques and tools for circular RNA-seq data, 56% for single-cell RNA-seq data, 23% for bulk RNA-seq data, and 3% for long non-coding RNA-seq data. …”
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Complete mitochondrial genome data and phylogenetic analysis of the Plain Banded Awl, Hasora vitta (Lepidoptera: Hesperiidae: Coeliadinae) from Malaysia by Marylin Miga, Aqilah Awg Abdul Rahman, Sivachandran Parimannan, Heera Rajandas, Frankie Thomas Sitam, Lili Tokiman, Jai Kemalok, Mohd Shahir Shamsir, Faezah Mohd Salleh

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Survey of video behavior recognition by Huilan LUO, Chanjuan WANG, Fei LU

“…Behavior recognition is developing rapidly,and a number of behavior recognition algorithms based on deep network automatic learning features have been proposed.The deep learning method requires a large number of data to train,and requires higher computer storage and computing power.After a brief review of the current popular behavior recognition method based on deep network,it focused on the traditional behavior recognition methods.Traditional behavior recognition methods usually followed the processes of video feature extraction,modeling of features and classification.Following the basic process,the recognition process was overviewed according to the following steps,feature sampling,feature descriptors,feature processing,descriptor aggregation and vector coding.At the same time,the benchmark data set commonly used for evaluating the algorithm performance was also summarized.…”
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How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania. by Harriet Ruysen, Tamanna Majid, Donat Shamba, Shema Mhajabin, Jacqueline Minja, Ahmed E Rahman, Titus Ngopi, Mary Ramesh, Shams El Arifeen, Rosie Steege, Janet Seeley, Joy E Lawn, Louise T Day, EN-BIRTH-2 Study Group

“…The World Health Organization recognises Routine Health Information System (RHIS) data as integral to data-driven health systems; needed to improve intrapartum outcomes for maternal and newborn health worldwide. …”
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Integrative multi-omics data from early development to identify the genes and cell types underlying attention-deficit/hyperactivity disorder by Shufen Jiao, Li Bao, Xiaowen Lu, Yong Wu, Yichen Li

“…Methods We applied the summary data-based Mendelian randomization (SMR) approach to integrate expression quantitative trait loci (eQTL) data derived from bulk post-mortem tissues, fetal brain tissues, and single-cell types from induced pluripotent stem cell (iPSC)-derived neurons and post-mortem brain samples with ADHD GWAS data. …”
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