A Technique for Monitoring Mechanically Ventilated Patient Lung Conditions by Pieter Marx, Henri Marais

“…The models are both computationally efficient (720 K predictions per second per core) and lightweight (24.5 MB). …”
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No Apparent Workup for most new Indeterminate Pulmonary Nodules in US Commercially-Insured Patients by Bruce S. Pyenson, Carol M. Bazell, Michael J. Bellanich, Melissa A. Caplen, Javier J. Zulueta

“…# Background A recent study estimated that more than 1.5 million Americans have an indeterminate pulmonary nodule (IPN) identified on a chest computed tomography (CT) scan each year outside of lung cancer screening programs. …”
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Smart Containers for Leftover Food Tracking for Packed and Unpacked Food by Potti Venkata Sai Varalakshmi Mounika, Tanniru Anjani, Vadlana Pravallika, Sirigiri Sushma Sri, G. Srujana, Gogineni Rajesh Chandra, D. Anand

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APLIKASI CROPWAT 8.0 UNTUK MERENCANAKAN POLA TANAM OPTIMAL DAN MEMAKSIMALKAN HASIL PERTANIAN DI KECAMATAN GUNUNGPATI by Susilawati Cicilia Laurentia, Lesty Arlensietami

“…The Cropwat 8.0 application is part of a computer-based information system (including knowledge-based/knowledge management systems) that is used to support decision making to arrange optimal cropping patterns and maximizing agricultural yields. …”
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Circadian clock disruption impairs immune oscillation in chronic endogenous hypercortisolism: a multi-level analysis from a multicentre clinical trialResearch in context by Valeria Hasenmajer, Emilia Sbardella, Francesca Sciarra, Chiara Simeoli, Claudia Pivonello, Filippo Ceccato, Riccardo Pofi, Marianna Minnetti, Flavio Rizzo, Davide Ferrari, Ilaria Bonaventura, Federica Barbagallo, Elisa Giannetta, Danilo Alunni Fegatelli, Simone Conia, Roberto Navigli, Giorgio Arnaldi, Carla Scaroni, Rosario Pivonello, Daniele Gianfrilli, Mary Anna Venneri, Andrea M. Isidori

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Lightweight Band-Adaptive Hyperspectral Image Compression With Feature Decouple and Recurrent Model by Jiahui Liu, Lili Zhang, Jingang Wang, Lele Qu

“…Evaluation across six hyperspectral datasets indicates that the LBA-HIM model significantly enhances both compression efficiency and image quality while simultaneously lowering computational costs. At a compression rate of 0.25 bits per pixel per band, LBA-HIM achieves an average peak signal-to-noise ratio of 38.25 dB, which represents an improvement of approximately 2.5 dB over the current state-of-the-art techniques.…”
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Sensitivity Analysis of COVID-19 Transmission Dynamics in Pakistan Using Mathematical Modelling by Kainat Laghari, Izzatul N. Sarbini, Jane Labadin, Shakeel A. Kamboh

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Cost analysis of treating cardiovascular diseases in a super-specialty hospital. by Atul Kumar, Vijaydeep Siddharth, Soubam Iboyaima Singh, Rajiv Narang

“…Traditional Costing and Time Driven Activity Based Costing (TDABC) methods were used for cost computation. Per bed per day cost incurred by the hospital for admitted patients in Cardiac Care Unit, adult and pediatric cardiology ward was calculated to be Indian Rupee (INR) 28,144 (US$ 434), INR 22,210 (US$ 342) and INR 18,774 (US$ 289), respectively. …”
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Web-based real-time risk assessment of coronavirus disease 2019 infection in schools and social dining settings by Yuta Okada, Minami Ueda, Hiroshi Nishiura

“…Accounting for the epidemiological risk of having infected persons in indoor settings, a web application was devised to compute the risk of a single participant contracting COVID-19 at the event. …”
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Economic Impact of Ambulatory Blood Pressure Monitoring Compared With Clinical Blood Pressure Monitoring: A Simulation Model by Michelle A Hayek, Alejandro Catacora, Mark A Lawley, Hye-Chung Kum, Robert L Ohsfeldt

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Nonlocal Moments and Mott Semimetal in the Chern Bands of Twisted Bilayer Graphene by Patrick J. Ledwith, Junkai Dong (董焌锴), Ashvin Vishwanath, Eslam Khalaf

“…At Γ, the spectral function contains a single Dirac cone per spin per valley and responds to perturbations in an exotic manner that is distinct from any other theoretical picture of TBG. …”
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Boosting EEG and ECG Classification with Synthetic Biophysical Data Generated via Generative Adversarial Networks by Archana Venugopal, Diego Resende Faria

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Use of individual Google Location History data to identify consumer encounters with food outlets by Olufunso Oje, Ofer Amram, Perry Hystad, Assefaw Gebremedhin, Pablo Monsivais

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Ichthyofaunal Metabarcoding in the Southern Appalachians: Use of eDNA Metabarcoding in Fish Surveys in Lotic Systems of the Great Smoky Mountains National Park with Comparisons to... by Ben F. Brammell, Sara A. Brewer, Karsner S. Fetter, Lauren E. Slone, Matt A. Kulp, Ben R. S. McLaughlin

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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

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Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication by U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

“…TenSEAL ensures all computations occur in the encrypted domain, preventing raw biometric data exposure during authentication. …”
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Spatial and temporal analysis of soil erosion and sediment yield in the shafe watershed, main ethiopian rift region: integrating RUSLE model, GIS, and remote sensing techniques by Sisay Alemayehu, Ephrem Getahun, Muralitharan Jothimani

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Meteorological factors association with under-five children diarrhea incidence in central Gondar zone, Northwest Ethiopia. A time series study by Gelila Yitageasu, Hailemariam Feleke, Zewudu Andualem, Lidetu Demoze, Kidist Asrat, Zemichael Gizaw

“…Spearman’s correlation was computed to test the correlation and a negative binomial regression model was fitted to determine the associations of meteorological factors with under-5 diarrhea incidence. …”
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National antibiotic consumption for human use in Chad (2017–2021): a descriptive cross-sectional study by Zongo R. Frank Edgard, Kadidjia Bakari Traoré, Colette Ngabéré, Martine Yoyammel, Abatcha Oumar Kadai, John Eyong Efobi, Mathieu Hota, Didi Lamireou, Badawi Haroun Mahamat, Hamit Mahamat Alio, Jacques L. Tamuzi, Jacques L. Tamuzi, Patrick D. M. C. Katoto, Patrick D. M. C. Katoto, Patrick D. M. C. Katoto, Charles S. Wiysonge, Charles S. Wiysonge, Blanche-Philomene Melanga Anya

“…The defined daily doses (DDDs) and the mean relative change (MRC) were used to compute the results. Results were presented in terms of tables and graphs. …”
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Evaluating the accuracy of generative artificial intelligence models in dental age estimation based on the Demirjian's method by Allan Abuabara, Thais Vilalba Paniagua Machado do Nascimento, Seandra Maria Trentini, Angela Mairane Costa Gonçalves, Maria Angélica Hueb de Menezes-Oliveira, Isabela Ribeiro Madalena, Svenja Beisel-Memmert, Christian Kirschneck, Livia Azeredo Alves Antunes, Cristiano Miranda de Araujo, Flares Baratto-Filho, Flares Baratto-Filho, Erika Calvano Küchler

“…Due to the probabilistic nature of ChatGPT, Gemini, and DeepSeek, which can produce varying responses to the same question, three responses were collected per case per day (three different computers) from each model on three separate days. …”
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