OcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation by Naveenkumar G. Venkataswamy, Poorna Ravi, Stephanie Schuckers, Masudul H. Imtiaz

“…We utilized a longitudinal dataset comprising more than 21,000 near-infrared (NIR) images, collected from 288 pediatric subjects over eight years using two different imaging sensors. …”
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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

“…Additionally, by training on different bottleneck sizes, you can determine the size at which the data is recovered best, which means that the most important variables are preserved. Looking at the results in general, the autoencoders work effectively for the dimensionality reduction task and the data recovery quality metric shows that they recover the data well with an error of 3–4 digits after 0. …”
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Evaluation of Wear Resistance of a Modified Radial Bearing Design Taking into Account Compressibility and Viscosity of the Lubricant by E. A. Bolgova, M. A. Mukutadze, V. M. Prikhodko, I. A. Kolobov

“…The new model predicted the bearing capacity of the part by 8–10% more accurately, and the coefficient of friction — by 7–9%. …”
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Climate Change Impacts on the Potential Distribution of in South Korea under SSP Scenarios by Jaeho Lee, Sungsoo Yoon, Jaeseok Lee, Changwan Seo

“…Climate change presents significant challenges to the habitat suitability of Camellia japonica, a key species in East Asian ecosystems. …”
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Treatment for Paget’s disease: surgical approaches by E. Yu. Fetisova, A. D. Zikiryakhodzhaev, N. N. Volchenko

“…According to different authors, PD is attended with invasive or noninvasive BC in most cases (90–98 %). The involvement is commonly multifocal. …”
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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…By integrating transfer learning with federated learning, this study presents a scalable and privacy-preserving framework for Big Data analytics in healthcare. …”
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Association between Markers of Fibrosis and Heart Failure Incidence in Patients with Type 2 Diabetes Mellitus by Denis A. Lebedev, Elena A. Lyasnikova, Elena Yu. Vasilyeva, Nikolai P. Likhonosov, Maria Yu. Sitnikova, Alina Yu. Babenko

“…The mean age was 57 (49.7; 63.2) years; 44% were female. Most patients had T2DM for more than 4 years. All patients were overweight or had obesity, and 93% patients had arterial hypertension (AH). …”
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Early functional changes in lewy body dementia: roles of dynamics, locus coeruleus, and compensation by Kristína Mitterová, Eva Výtvarová, Anežka Kovářová, Martin Lamoš, Jan Fousek, Irena Rektorová

“…Abstract Dementia with Lewy bodies (DLB) is marked by multidomain cognitive impairments, with fluctuations in cognition and alertness being among the most common clinical features. Disruptions in functional connectivity are thought to underlie these fluctuations, but it remains unclear whether such patterns are already present at prodromal stages. …”
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Real-world usage of mass rapid antigen testing for COVID-19 in long-term care facilities and support programmes: results from long-term surveillance in North-Eastern Germany by Tillmann Görig, Josefin Pauline Haß, Anastasia Tavakina, Vivien Giermann, Sebastian Karaytug, Nils-Olaf Hübner

“…Since mid-December 2020, long-term care facilities (LTCF) as well as support programmes in M-W had been obliged by ordinance to report on-site RATs to this surveillance project. However, most studies have measured RATs in cross-sectional studies or short-term comparisons with smaller samples, and only a few studies have followed the long-term development of COVID-19 testing, even though the pandemic lasted more than two years. …”
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Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations... by Manu Airaksinen, Okko Räsänen, Sampsa Vanhatalo

“…The IMU data can be used for an algorithmic detection of different postures and movements, which may support more detailed assessments of complex behaviors, such as daily activities. …”
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GAME AS AN ELEMENT OF HYGIENE MOTIVATION OF PRE-SCHOOLERS by V.S. Melnyk, L.F. Horzov

“…Milk products, fruit and vegetables are present in daily diet of each child. Conclusions. 1. …”
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Analysing the psychological capital influence on academic performance in an e-learning environment by Lama Sameer Khoshaim

“…Most measurements were self-reported, except for GPA, retrieved from the institute directly. …”
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PENGURUSAN JENAZAH TIDAK SEMPURNA DALAM SITUASI PERANG, BENCANA DAN WABAK: TINJAUAN DARIPADA PERSPEKTIF ISLAM DAN FORENSIK by Nadiawati Abdul Razak, Mohamad Muntaha Saleh, Mohamad Aniq Aiman Alias

“… The management of deceased bodies in emergency situations such as war, major disasters, and infectious disease outbreaks presents extraordinary challenges from both Shariah and operational perspectives. …”
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Paradox of Low CA-125 in Patients with Decompensated Congestive Heart Failure by Raquel López-Vilella, Borja Guerrero Cervera, Víctor Donoso Trenado, Julia Martínez-Solé, Sara Huélamo Montoro, Valero Soriano Alfonso, Franco Appiani, Luis Martínez Dolz, Luis Almenar-Bonet

“…<b>Conclusions</b>: The proportion of patients with decompensated congestive HF and systemic congestion who present with a low CA-125 level is close to 25%. These patients are mostly women with a preserved ejection fraction and inspiratory collapse of the IVC of >50%. …”
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The Bioethics-CSR Divide by Caio Caesar Dib

“…Even though the bioethics-CSR divide presents mostly reasonable explanations for this difficult relationship between the disciplines, current proposals suggest there is much to be gained from a stronger relationship between them. …”
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Etiologic Characteristics of Influenza Epidemics on the Territory of Russia in the Period of Pandemic COVID-­19 in 2020–2023 by P. A. Petrova, N. I. Konovalova, A. Y. Boyarintseva, D. M. Danilenko, A. D. Vasilieva, T. N. Shelepanova, A. V. Prokopets, M. Y. Eropkin

“…The strains under study were very close to the strain A/Darwin/09/21, recommended by the WHO as the vaccine strain for the season 2022-2023. They belonged to the most wide-spread in the World genetic group 3С.2а1b.2a.2. …”
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