Economic and healthcare influences on circulatory diseases in Kazakhstan: a retrospective ecological study by Olzhas Zhamantayev, Nurlan Smagulov, Gulmira Tykezhanova, Maira Kenzhekeyeva, Gulden Karshalova

“…Additionally, equitable distribution of healthcare resources like nurses could enhance early detection and management of circulatory diseases, contributing to better public health outcomes in a middle-income country setting.…”
Get full text

BLADE: An Automated Framework for Classifying Light Curves from the Center for Near-Earth Object Studies Fireball Database by Elizabeth A. Silber, Vedant Sawal

“…Preliminary results demonstrate that BLADE reliably distinguishes distinct bolide behaviors, providing an objective, scalable methodology for characterization and analysis of large bolide light curve data sets. This foundational work establishes a novel pathway for advanced bolide research, with promising applications in planetary defense and global atmospheric monitoring. …”
Get full text

Assessment of the Factors Contributing to Gastric Carcinoma among Patients at Baghdad Educational Hospitals by Massara Abdullah Najm, Suad Jassim Mohammed

“…The data have been analyzed through the application of: descriptive and the inferential analysis, and the researcher used the SPSS version 20 to analysis of data. …”
Get full text

Impacts of Different Satellite‐Based Precipitation Signature Errors on Hydrological Modeling Performance Across China by Chiyuan Miao, Jiaojiao Gou, Jinlong Hu, Qingyun Duan

“…In this study, forcing data sets from 10 SPPs were collected to drive hydrological models during the period 2001–2018 for 366 catchments across China. …”
Get full text

Problem-based training improves recognition of patient hazards by advanced medical students during chart review: a randomized controlled crossover study. by Friederike Holderried, Daniel Heine, Robert Wagner, Moritz Mahling, Yelena Fenik, Anne Herrmann-Werner, Reimer Riessen, Peter Weyrich, Stephan Zipfel, Nora Celebi

“…<h4>Results</h4>A total of 35 data sets had to be excluded because of missing data. …”
Get full text

Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts by Siamak Hoseinzadeh, Davide Astiaso Garcia

“…The core focus is the Autonomous Greenhouses Challenge, an initiative where research teams apply AI technologies in real-world greenhouse settings. This challenge offers crucial data for a thorough assessment of AI’s practical impact. …”
Get full text

Development of Low-Cost Monitoring and Assessment System for Cycle Paths Based on Raspberry Pi Technology by Salvatore Bruno, Ionut Daniel Trifan, Lorenzo Vita, Giuseppe Loprencipe

“…Repeated testing confirmed the system’s reliability by assigning the same vibration comfort class in 74% of the cases and an adjacent one in 26%, with an average difference of 0.25 m/s², underscoring its stability and reproducibility. Data post-processing was also focused on integrating user comfort perception with image data, and it revealed anomaly detections represented by numerical acceleration spikes. …”
Get full text

Identifying diagnostic errors in the emergency department using trigger-based strategies by Prashant Mahajan, Fernanda Bellolio, Daniel Cabrera, Kalyan Pasupathy, Todd Huschka, Mahsa Khalili, Moein Enayati, Shrinath Patel, Sarah J Parker

“…Those with non-specific chief complaints like altered mental status or shortness of breath had higher diagnostic error risk.Conclusion and relevance While previously proposed EHR-based triggers can identify some diagnostic errors, they are insufficient for detecting all cases. To improve error detection performance, we recommend exploring data-driven strategies, such as machine learning techniques, to more effectively identify underlying contributing factors to diagnostic errors and enhance detection accuracy in the ED.…”
Get full text

Carbapenem-resistance in Acinetobacter baumannii: prevalence, antibiotic resistance profile and carbapenemase genes in clinical and hospital environmental strains by Folasade Muibat Adeyemi, Esther Abiodun Akinlade, Nana Aishat Yusuf-Omoloye, Olaoniye Habeebat Ajigbewu, Alabi Peter Dare, Abideen Akinkunmi Wahab, Omotayo Opemipo Oyedara, Habeeb Salman Isiaka, Alimat Olamide Usamat

“…Conclusion This study reports the occurrence of MDR strains, and of bla KPC type, bla IMP variants and bla VIM type carbapenemase genes in A. baumannii isolates from clinical and hospital environmental samples, contributing to the pool of existing data on their occurrence. It also highlights the need for monitoring and continued surveillance of the strains, most especially in the clinical setting.…”
Get full text

Integrating sensory assessments in preventive home visits: a cross-sectional study of the Faroe Islands by Haanes Gro Gade, Tor Martin Kvikstad, Ása Roin

“…These screenings support equitable healthcare and early intervention, promoting better quality of life for older adults across diverse settings.…”
Get full text

Microlensing Events in Five Years of Photometry from the Zwicky Transient Facility by Ruocheng Zhai, Antonio C. Rodriguez, Shude Mao, Casey Y. Lam, Eric C. Bellm, Josiah Purdum, Frank J. Masci, Avery Wold

“…In the event selection, we use the efficient EventFinder algorithm to detect microlensing signals, which could be used for large data sets such as future ZTF data releases or data from the Rubin Observatory Legacy Survey of Space and Time. …”
Get full text

3D LiDAR motion distortion algorithm for open-pit coal mine by Hui LI, Minchao LI, Lizhen CUI, Baoliang MA, Qingyu ZHANG, Bingbing PAN

“…Building upon this foundation, our approach is leveraging full feature point matching to directly down sample and extract the point cloud from the LiDAR data. To enrich the preprocessed laser point cloud data, Iterative Closest Point (ICP) matching is being incorporated at the front-end of the algorithm, facilitating the extraction of the key-frame point cloud X. …”
Get full text

Advancement in predictive biomarkers for gestational diabetes mellitus diagnosis and related outcomes: a scoping review by Fabricio Da Silva Costa, Hasini Rathnayake, Luhao Han, Cristiane Paganoti, Brett Dyer, Avinash Kundur, Indu Singh, Olivia J Holland

“…Multivariable models combining maternal risk factors with biomarkers provided more accurate detection but required validation for use in clinical settings.Conclusion This review recommends further research integrating novel omics technology for building accurate models for predicting GDM, perinatal outcome, and the necessity of medication while considering the optimal testing time.…”
Get full text

Serum creatinine as a risk factor for endometriosis: insights from cross-sectional study, mendelian randomization analysis, and diagnostic model study by Yanan Duan, Yiqing Peng, Aiping Chen

“…Method This research integrates data from the NHANES database (1999–2006) and the affiliated hospital of Jining Medical College in China. …”
Get full text

Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. by Felipe J Colón-González, Leonardo Soares Bastos, Barbara Hofmann, Alison Hopkin, Quillon Harpham, Tom Crocker, Rosanna Amato, Iacopo Ferrario, Francesca Moschini, Samuel James, Sajni Malde, Eleanor Ainscoe, Vu Sinh Nam, Dang Quang Tan, Nguyen Duc Khoa, Mark Harrison, Gina Tsarouchi, Darren Lumbroso, Oliver J Brady, Rachel Lowe

“…Despite the demonstrated value of our forecasting system, the approach is limited by the consistency of the dengue case data, as well as the lack of publicly available, continuous, and long-term data sets on mosquito control efforts and serotype-specific case data.…”
Get full text

The use of wearable sensor technology to enhance supportive care in hospitalized palliative patients (Support trial): a prospective preliminary pilot study by Philipp Helmer, Jessica Glück, Anastasios Anastasiadis, Florian Rumpf, Sebastian Hottenrott, Bernd E. Winkler, Patrick Meybohm, Peter Kranke, Carmen Roch, Michael Sammeth

“…Abstract Background Continuous monitoring of vital parameters using wearable devices offers potential benefits in palliative care, such as early detection of clinical deterioration and improving symptom management. …”
Get full text

BETASCAN: probable beta-amyloids identified by pairwise probabilistic analysis. by Allen W Bryan, Matthew Menke, Lenore J Cowen, Susan L Lindquist, Bonnie Berger

“…For two proteins (Abeta and Het-s), there exist multiple sets of experimental data implying contradictory structures; BETASCAN is able to detect each competing structure as a potential structure variant. …”
Get full text

Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing. by Emily Vogtmann, Xing Hua, Georg Zeller, Shinichi Sunagawa, Anita Y Voigt, Rajna Hercog, James J Goedert, Jianxin Shi, Peer Bork, Rashmi Sinha

“…Future studies should have larger sample sizes or pool data across studies to have sufficient power to detect associations that are reproducible and significant after correction for multiple testing.…”
Get full text

Introducing a new method for assessing short railway bridge conditions using vehicle onboard systems by Anna M. Rakoczy, Wojciech Karwowski, Monika Płudowska-Zagrajek, Maciej Pałyga

“…In 2016 the potential use of existing onboard systems to detect weak bridge stringers and changes in pier elevations was proved by a set of tests performed in the Transportation Technology Center (TTC) in Colorado, USA under controlled conditions. …”
Get full text

Monitoring complete ammonia oxidizers bacteria: relevant players for nitrogen removal from wastewater by Javier Duque, Leire Besga-Oyanarte, Miguel De Celis, Susana Serrano, José Luis Alonso, Antonio Santos, Lucía Arregui

“…The data obtained not only confirmed the presence of COMAMMOX bacteria, but also their abundance, comparable to that of NOB and AOB. …”
Get full text