Search Results - binary data processing

Development of Co-Amorphous Systems for Inhalation Therapy—Part 1: From Model Prediction to Clinical Success by Eleonore Fröhlich, Aurora Bordoni, Nila Mohsenzada, Stefan Mitsche, Hartmuth Schröttner, Sarah Zellnitz-Neugebauer

“…<b>Background/Objectives</b>: The integration of machine learning (ML) and artificial intelligence (AI) has revolutionized the pharmaceutical industry by improving drug discovery, development and manufacturing processes. Based on literature data, an ML model was developed by our group to predict the formation of binary co-amorphous systems (COAMSs) for inhalation therapy. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…Electronic devices capable of collecting individual telemetry data have opened up prospects for preclinical detection of COVID-19 signs. …”
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Analyzing Determinant Factors for Pathophysiology of Functional Dyspepsia Based on Plasma Cortisol Levels, IL-6 and IL-8 Expressions and H. pylori Activity by Arina Widya Murni, Eryati Darwin, Nasrul Zubir, Adnil Edwin Nurdin

“…The inflammatory expressions (IL-6 and IL-8 expressions) as well as H. pylori activity were determined using immunohistochemistry of gastric biopsy specimens; while plasma cortisol levels was measured from peripheral blood samples. Data were analyzed using binary multivariate logistic regression. …”
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EVALUATION OF THE PROGNOSTIC SIGNIFICANCE OF SOME BIOLOGICAL FACTORS IN LOCAL AND GENERALIZED CLEAR CELL RENAL CANCER by A. N. Shevchenko, A. A. Breus, I. V. Neskubina, E. A. Dzhenkova, E. V. Filatova, D. A. Shvyrev

“…An assessment of prognostically unfavourable factors that significantly affect the generalization of the tumour process was carried out using binary logistic regression and ROC analysis.Results. …”
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Analyzing Determinant Factors for Pathophysiology of Functional Dyspepsia Based on Plasma Cortisol Levels, IL-6 and IL-8 Expressions and H. pylori Activity by Arina Widya Murni, Eryati Darwin, Nasrul Zubir, Adnil Edwin Nurdin

“…The inflammatory expressions (IL-6 and IL-8 expressions) as well as H. pylori activity were determined using immunohistochemistry of gastric biopsy specimens; while plasma cortisol levels was measured from peripheral blood samples. Data were analyzed using binary multivariate logistic regression. …”
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Study of Optimal Base Station Deployment for UAM Operations in an Urban Environment Based on a Genetic Algorithm by Minsang Yoon, Jiseok Park, Bosung Park, Taekyeong Jin, Hosung Choo

“…The proposed method uses binary chromosomes to determine the locations of BSs and the orientations of the antennas. …”
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Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System by Bedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalcin, Serpil Aslan, Niranjana Sampathila, Ozal Yildirim, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya

“…The exponential growth in the size of databases due to technological advancements has led to challenges in locating and accessing specific components of the data. While deep learning and other machine learning architectures have shown promise in retrieving data components, their efficacy is more pronounced when addressing disease cohorts. …”
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Evaluating the automated measurement of abnormal rising and lying down behaviours in dairy cows using 3D pose estimation by Adrien Kroese, Niclas Högberg, Elena Diaz Vicuna, David Berthet, Nils Fall, Moudud Alam, Lena-Mari Tamminen

“…Lying down duration exceeded the threshold in 28.9 % of bouts, and rear limbs shifting duration in 8.3 %. Side lunge had a binary threshold which was not adapted to continuous sensor data. …”
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Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images by V. S. Rozova, C. Russo, V. Y. Lekarev, V. V. Kazantseva, A. M. Dymov, A. S. Rzhevskiy, A. V. Zvyagin

“…Each image was additionally processed for model compatibility, with 224×224 pixel images as input to reduce the number of parameters. …”
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STUDY OF THE COMPOSITION OF MICROFLORA OF ROOT CANALS IN PRIMARY AND CHRONIC PERIODONTITIS by S.O. Priadko, I.P. Koshova, A.V. Samoilenko

“…Isolation of pure cultures was carried out by generally accepted measures of bacteriological research. On the basis of the data obtained, microorganisms were identified according to the binary nomenclature with the determination of the amount of the selected strain in the material. …”
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Willingness to participate in combined breast and cervical cancer screening and its influencing factors among 35 - 64 year old women participating in screening in Jinan city, 2024:... by Hongsheng SONG, Zeyun ZHAO, Cuiyu GONG, Fei ZHU, Xuelian ZHAO, Li ZHANG, Fanghui ZHAO, Yuping WANG

“…Data were analyzed using chi-squared tests and binary logistic regression. …”
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IPHILOGENETIC TREE OF ART / ФИЛОГЕНЕТИЧЕСКОЕ ДРЕВО ИСКУССТВ by DRIKKER ALEKSANDR S. / ДРИККЕР А.С.

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Variation patterns of physical property parameters for pipeline transportation of impurity-containing NH3 by Pengbo YIN, Bo WANG, Zhenchao LI, Chaofei NIE, Jiaqing LI, Xiucan JIA, Lin TENG, Lilong JIANG

“…These impurities can alter the phase equilibrium characteristics and physical properties of NH3, subsequently affecting transport efficiency and posing potential safety hazards to the pipeline transportation process. MethodsUsing existing experimental data on the physical properties of NH3, a comparative analysis was conducted among commonly used gas equations of states (PR, SRK, and BWRS) and the Helmholtz free energy model (THB). …”
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Associations of nutrient intake, dietary behaviours, and patterns with metabolic profiles and obesity measures: findings from a cross-sectional study in a southern Chinese populati... by Yifan Chen, Guanlin Chen, Yinglin Liang, Yinglin Liang, Haiyan Huang, Yefeng Cai, Xiaojia Ni

“…Seafood, legumes, and Cantonese soup were consumed occasionally, whereas traditional Chinese ultra-processed foods such as dairy and pasta were rarely consumed. …”
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PKS J0805-0111: A Second Owens Valley Radio Observatory Blazar Showing Highly Significant Sinusoidal Radio Variability—The Tip of the Iceberg by P. V. de la Parra, S. Kiehlmann, P. Mróz, A. C. S. Readhead, A. Synani, M. C. Begelman, R. D. Blandford, Y. Ding, F. Harrison, I. Liodakis, W. Max-Moerbeck, V. Pavlidou, R. Reeves, M. Vallisneri, M. F. Aller, M. J. Graham, T. Hovatta, C. R. Lawrence, T. J. W. Lazio, A. A. Mahabal, B. Molina, S. O’Neill, T. J. Pearson, V. Ravi, K. Tassis, J. A. Zensus

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Firmware Attestation in IoT Swarms Using Relational Graph Neural Networks and Static Random Access Memory by Abdelkabir Rouagubi, Chaymae El Youssofi, Khalid Chougdali

“…The proposed method uses runtime Static Random Access Memory (SRAM) data to detect malicious firmware and its effects without requiring access to firmware binaries. …”
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Examining “privatization” and protecting equal rights by Ashley Berner

“…-centric debates that depend on unhelpful binaries. We need better ways to describe the participation of non-state actors that reflect historical realities and universal rather than particularist concerns.…”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…As there were considerable missing values in outcome variables and non-adherence with ECHOMANTRA predicted later dropout from data collection, multiple imputation (MI) was used to adjust for missing data biases. …”
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The Apartheid Archive: memory, voice and narrative as liberatory praxis by Garth Stevens, Norman Duncan, Christopher Sonn

“…While recognising that memories articulated through narratives have limitations and are but one source of archival data, the article nevertheless argues that this is a critical political and psychological act in expanding the archive and has certain relationships to a liberatory praxis. …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…Digital pathology is a process of converting microscope slides to computer image files. …”
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