Immunological changes in patients with community-acquired pneumonia with concomitant coronary artery disease during treatment with Simvastatin by V. V. Syvolap, L. O. Kurilets, L. V. Lukashenko, A. O. Yarosh

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An agent-based model of COVID- 19 in the food industry for assessing public health and economic impacts of infection control strategies by Christopher Henry, Ece Bulut, Sarah I. Murphy, Claire Zoellner, Aaron Adalja, Diane Wetherington, Martin Wiedmann, Samuel Alcaine, Renata Ivanek

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Advances in machine transliteration methods, limitations, challenges, applications and future directions by A’la Syauqi, Aji Prasetya Wibawa

“…Machine transliteration is critical in natural language processing (NLP), facilitating script conversion while preserving phonetic integrity across diverse languages. …”
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Randomness-free detection of non-projective measurements: qubits & beyond by Sumit Rout, Some Sankar Bhattacharya, Paweł Horodecki

“…Non-projective measurements play a crucial role in various information-processing protocols. In this work, we propose an operational task to identify measurements that are neither projective nor classical post-processing of data obtained from projective measurements. …”
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Binary-Weighted Neural Networks Using FeRAM Array for Low-Power AI Computing by Seung-Myeong Cho, Jaesung Lee, Hyejin Jo, Dai Yun, Jihwan Moon, Kyeong-Sik Min

“…Artificial intelligence (AI) has become ubiquitous in modern computing systems, from high-performance data centers to resource-constrained edge devices. …”
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Large language models in breast cancer reconstruction: A framework for patient-specific recovery and predictive insights by Chunrao Zheng, Qunfang Li, Geling Lu, Yuchang Mai, Yuan Hu

“…Lemmatization/Stemming is used for pre-processing large volumes of data from medical records, clinical notes, and treatment histories and BioBERT, a model pretrained on biomedical texts to capture complex medical terminology used for feature extraction and aids in the transformation of text data into numerical vectors. …”
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Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sample by Damien Lekkas, Amanda C. Collins, Michael V. Heinz, Tess Z Griffin, Arvind Pillai, Subigya K. Nepal, Daniel M. Mackin, Andrew T. Campbell, Nicholas C. Jacobson

“…Bolstered by the application and promise of natural language processing (NLP) across the mental health field, efforts toward richer operationalization of acute SI may include analyses on written data that occur alongside changes in SI, thus offering a better understanding of STB as it unfolds. …”
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Advancing cloud security: Unveiling the protective potential of homomorphic secret sharing in secure cloud computing by Sijjad Ali, Shuaib Ahmed Wadho, Aun Yichiet, Ming Lee Gan, Chen Kang Lee

“…Our strategy involves protecting data while dividing it among multiple servers. By using this distribution, the system is less likely to suffer from single points of failure and has a higher security level. …”
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FOCC: A Synthetically Balanced Federated One-Class-Classification for Cyber Threat Intelligence in Software Defined Networking by Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, Kashif Nisar

“…However, as sixth-generation (6G) systems evolve with heterogeneous characteristics, the training data across individual SDN domains is likely to be highly Non-Independent and Identically Distributed (Non-IID), which significantly impairs the performance of Artificial Intelligence (AI) based Intrusion Detection Systems (IDSs). …”
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Investigating banks’ social media content and consumer reactions with machine learning by Gombos Nóra, Julianna, Vlaszov Artúr, Bíró-Szigeti Szilvia, Molontay Roland

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Regulating pressing systemic risks – but not too soon? by Defne Halil, Konrad Kollnig, Aurelia Tamò-Larrieux

“…The results show that while the willingness of policymakers to address systemic risks on platforms is clearly present, we are not yet able to obtain meaningful data for research. In fact, the process of ensuring such access has been repeatedly delayed by the responsible authorities. …”
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Characterising the killing of girls and women in urban settings in Latin America, 2000–2019: an analysis of variability and time trends using mortality data from vital registration... by Ana V Diez Roux, Usama Bilal, Brisa N Sánchez, Heidi Stöckl, Yvonne L Michael, Nina Sun, Dèsirée Vidaña-Pérez, Ana Ortigoza, Amelia Augusta de Lima Friche, Mónica Mazariegos, Bricia Gonzalez Trejo, Catalina Correa-Salazar, Vanessa DiCecco

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Googling Patients by Emily Beer

“… Photo by Christian Wiediger on Unsplash INTRODUCTION Huge amounts of public data on the internet and the ease with which we regularly search it have resulted in the phenomenon called Patient-Targeted Googling (PTG). …”
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Land Surface Temperature Retrieval from Landsat 9 Satellite Data in the Case of Injibara Town and the Surrounding Banja District, Awi Nationality Administrative Zone, Amhara, Ethio... by Minyichil Teshome Kassahun, Nigatu Amsalu Workineh

“…Landsat 9, launched in 2021, provides enhanced imaging capabilities and advanced sensors compared to its predecessors. Data from the United States Geological Survey (USGS) Earth Explorer website were processed using ArcGIS 10.8. …”
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets by Ritu Rani, Garima Jaiswal, Nancy, Lipika, Shashi Bhushan, Fasee Ullah, Prabhishek Singh, Manoj Diwakar, Manoj Diwakar

“…IntroductionThe liver is one of the vital organs of human body that performs some of the most crucial biological processes such as protein and biochemical synthesis, which is required for digestion and cleansing. …”
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Removal of Doxycycline from Water using Dalbergia sissoo Waste Biomass Based Activated Carbon and Magnetic Oxide/Activated Bioinorganic Nanocomposite in Batch Adsorption and Adsorp... by Muhammad Zahoor, Muhammad Wahab, Syed Muhammad Salman, Aamir Sohail, Essam A. Ali, Riaz Ullah

“…Langmuir model best accommodated the equilibrium data whereas the pseudo-second-order kinetic model finest trimmed the kinetics data. …”
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SCUBA implements a storage format-agnostic API for single-cell data access in R [version 2; peer review: 2 approved, 1 approved with reservations] by Krysta L. Engel, Jairav Desai, Austin E. Gillen, William M. Showers, Craig T. Jordan, Clayton Smith

“…In addition to performance, SCUBA offers several advantages over object conversion for the visualization and further analysis of pre-processed single-cell data. First, SCUBA extracts only data required for the operation at hand, leaving the original object unmodified. …”
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Supercooling, Glass Formation, and Mineral Assemblages upon Freezing of Salty Ice Grains from Enceladus’s Ocean by Fabian Klenner, Lucas M. Fifer, Baptiste Journaux, Ardith D. Bravenec, Allan M. M. Leal, Steven D. Vance, David C. Catling

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Generation Victoria (GenV): protocol for a longitudinal birth cohort of Victorian children and their parents by Elizabeth K. Hughes, William Siero, Alisha Gülenç, Susan A. Clifford, Tony Frugier, Simon M. Hall, Jatender Mohal, Kathryn North, Natasha Zaritski, Sharon Goldfeld, Richard Saffery, Melissa Wake

“…Participants consent to universal (1) data linkage (e.g., state and federal physical and mental health, education, social, geospatial, ecological); (2) biosamples storage and use (e.g., residual clinical pregnancy and newborn screening, GenV-collected perinatal parent/infant saliva); (3) phenotypic and biosamples collection waves at child ages 6, 11 and 16 years, likely in schools and remotely for parents; and (4) opportunities for collaborative research integrated into GenV as a population registry (e.g., trials, natural experiments, depth subcohorts). …”
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Barriers and strategies for recruitment of pregnant women in contemporary longitudinal birth cohort studies by Slawa Rokicki, Amulya Gobburu, Melissa Weidner, Nashwah Azam, Michelle Jansen, Zorimar Rivera-Núñez, Adriana De Resende, Veenat Parmar, Gloria Bachmann, Nancy Reilly, Reynold Panettieri, Maria Gloria Dominguez-Bello, Daniel B. Horton, Martin J. Blaser, Emily S. Barrett

“…Participants liked the flexibility of remote data collection in easing logistical challenges to participation but also expressed importance of personal study contact for facilitating access to resources, enhancing trust in the research process, and motivating retention. …”
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