Clinical features of post-COVID-19 period. Results of the international register “Dynamic analysis of comorbidities in SARS-CoV-2 survivors (AKTIV SARS-CoV-2)”. Data from 6-month f... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanau, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Shchukarev, A. K. Abdrahmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barisheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V. Genkel, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, G. M. Dabylova, I. A. Demchenko, O. Yu. Dolgikh, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybayeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. K. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, A. Sh. Kerimova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondriakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kriukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kouranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Majseenko, A. S. Makarova, A. M. Maripov, A. A. Marusina, E. S. Melnikov, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, A. O. Myshak, E. S. Nekaeva, N. M. Nikitina, B. B. Ogurlieva, A. A. Odegova, Yu. M. Omarova, N. A. Omurzakova, Sh. O. Ospanova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, N. A. Prokofeva, I. A. Pudova, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, A. A. Simonov, V. V. Skachkova, D. V. Soloveva, I. A. Soloveva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, Yu. V. Titojkina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, O. A. Shevchenko, T. V. Sheshina, E. A. Shishkina, K. Yu. Shishkov, S. Yu. Sherbakov, E. A. Yausheva

“…The highest mortality rate was observed in the first 3 months in the group of patients with class II-IV heart failure, as well as in patients with cardiovascular diseases and cancer. …”
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Cancer Genetics in the Arab World by Waleed S. Al Amri PhD, Muna Al Jabri PhD, Aisha Al Abri MS, Thomas A. Hughes PhD

“…Cancer remains a major global health burden, with incidence rates rising globally. The Arab world, which is often regarded as an underrepresented population in literature, shows distinct patterns in cancer incidences, genetics, and outcomes in comparison with Western populations. …”
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Glucose‐Induced Developmental Dynamics: Understanding Male Prevalence in Early Mouse Embryo Stages by Fikri Ardhani, Asako Okamoto, Masayuki Shimada

“…Conclusions Glucose availability accelerated embryonic development and created sex‐specific patterns of developmental timing, with male embryos exhibiting faster progression rates, which might be associated with differential X‐linked PDHA1 metabolic gene expression during early mouse embryogenesis.…”
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Analysis of the deformation of the elastic coating of the roll by Khurramov Shavkat, Abrorov Akbar, Xalmamatova Lola, Atadjanova Sayyora, Dalakyan Janna

“…Engineering formulas for calculating the rates of compression deformation (restoration) of the coating to the corresponding material velocity are obtained. …”
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About development of expert possibilities for consideration of equipment projects and technological decisions by D. J. Lobach

“…The purpose of the research described in the article is to formulate and substantiate the methodology for analyzing quantitative patterns of parameters of projects, devices, systems and technologies, that can be used for relative or rating comparison of projected, planned or applied investigated objects without using long-term experimental or operational data.The proposed approach to the analysis of quantitative patterns makes it possible to conduct a primary assessment of the advantages of innovative technologies, acomparative assessment of the safety of technical complexes, a targeted pre-operational assessment of equipment parameters, and to form planned distinctive parameters for the implementation of experimental and commercial technical projects.…”
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Breastfeeding Supports and Services in Rural Hawaii: Perspectives of Community Healthcare Workers by Jeanie L. Flood

“…In the state of Hawaii, breastfeeding initiation rates are higher than the national average but fall below target rates for duration. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of the pulse, rendering them incomplete for the relatively narrow-spectrum detection of pulses. …”
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Improving PSNR and computational efficiency in orthogonal ghost imaging by Kobra Hassanzadeh, Sohrab Ahmadi-Kandjani, Reza Kheradmand, Seyed Amir Mortazavi

“…Abstract In this paper, we present an orthogonal ghost imaging (OGI) method based on two-dimensional discrete cosine transform (2D-DCT) patterns. Unlike traditional methods that are based on random or sinusoidal patterns, our method relies on structured orthogonal patterns to enhance both image quality and reconstruction speed, outperforming random and sinusoidal-based approaches in terms of reconstruction fidelity and computational efficiency. …”
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Performance Assessment of the Concepta Automated ANA Detection System in Routine Clinical Samples by Kübra Evren, Ayşe Nur Ceylan, Mehmet Akif Durmuş

“…The sensitivity and specificity were found to be 99.08% and 97.61%, respectively, with positive and negative predictive values of 87.96% and 99.83%. High concordance rates were observed for homogeneous (95.7%), centromere (92.3%), and nucleolar (92.1%) patterns, while lower rates were noted for speckled (60%) and cytoplasmic (44.4%) patterns.Conclusion: The Concepta automated system demonstrated very high accuracy in ANA positive and negative discrimination, comparable to other automated systems. …”
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Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

“…Current methods typically treat wind power as a unified signal without explicitly separating inherent patterns from external influences, so they have limited prediction accuracy. …”
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Global stroke burden attributable to household air pollution: Insights from GBD 2021 and projections to 2040. by Manqing Li, Shicheng Liao, Chao Wang, Haojia Ma, Xiumei Xing, Jianhui Yuan, Jie Jiang, Zhuoying Zeng

“…From 1990-2021, age-standardized death rates (EAPC = -0.37), DALY rates (EAPC = -0.20), and YLL rates (EAPC = -0.30) decreased, while YLD rates increased (EAPC = 1.11). …”
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An Efficient RTL Design for a Wearable Brain–Computer Interface by Tahereh Vasei, Mohammad Ali Saber, Alireza Nahvy, Zainalabedin Navabi

“…To further illustrate the outperformance of our design, the proposed architecture is implemented on Virtex-7 field program gate array as a prototyping platform consuming 6 μJ energy with 1.52% area utilization.…”
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Evaluating anti-MRSA antibiotic stewardship with a focus on trends in consumption and resistance in a tertiary hospital in Alexandria, Egypt from 2019 to 2023 by Ehab Elmongui, Adel Zaki, Amel Elsheredy, Asmaa Abd Elhameed

“…The study compared these consumption patterns with resistance rates in Staphylococcus spp., including MRSS, from January 2020 to December 2023. …”
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GPCR kinases phosphorylate GPCR C-terminal peptides in a hierarchical manner by Arnelle Löbbert, Nils Lorz, Edda S. F. Matthees, Philip Rößler, Carsten Hoffmann, Alvar D. Gossert

“…Our data reveal that the kinases are promiscuous with respect to the substrate peptide, but produce clearly defined phosphorylation patterns on each substrate. We found pronounced differences in the rates at which certain residues are phosphorylated, in particular in the PXPP motifs in rhodopsin and β1AR. …”
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Spatiotemporal Analysis of Disease Spread Using a Soliton-Based SIR Framework for Nomadic Populations by Qura Tul Ain, Xiaoli Qiang, Noor Ul Ain, Zheng Kou

“…Numerical simulations demonstrate the effects of varying key parameters such as transmission rates, recovery rates, and advection–diffusion coefficients on the epidemic’s progression. …”
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Combined effects of major rule changes impact injury profile in elite taekwondo athletes: an analysis of 2663 athletes from the 2017, 2019 and 2022 World Taekwondo Championships by Sae Yong Lee, Dae Hyoun Jeong, Heeseong Jeong, Suji Yoon, Se Jong Kim

“…Injury patterns shifted, with fewer head and neck injuries and more upper extremity injuries. …”
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Free and Open: A Descriptive Study of Energy and Sustainability Programming Geared Toward Adult Learners by Corey Young

“…This study investigates participation patterns in publicly accessible educational events organized by a college policy and research center. …”
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Mapping the mismatch between building and population growth: A global study of 1,700 cities by Siwei Lou, Yu Huang, Yukai Zou, Dawei Xia

“…Summary: The proportionality between urban building expansion and population growth is a key indicator of sustainable development, yet its global patterns and drivers remain underexplored. This study investigates the discrepancies between building volume and population growth rates (ΔR) across 1,744 cities in 12 major global economies from 2000 to 2020 using satellite-based building volume and population databases. …”
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Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study by Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

“…We then used the state obesity rates from the Behavioral Risk Factor Surveillance System (BRFSS) to assess the correlation between state obesity rates and dietary images on Twitter. …”
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Functional Connectivity Biomarker Extraction for Schizophrenia Based on Energy Landscape Machine Learning Techniques by Janerra D. Allen, Sravani Varanasi, Fei Han, L. Elliot Hong, Fow-Sen Choa

“…Schizophrenia is associated with impaired functional connectivity but characterizing the complex abnormality patterns has been challenging. In this work, we used resting-state functional magnetic resonance imaging (fMRI) data to measure functional connectivity between 55 schizophrenia patients and 63 healthy controls across 246 regions of interest (ROIs) and extracted the disease-related connectivity patterns using energy landscape (EL) analysis. …”
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