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  1. 9021

    Aptamer Sequence Optimization and Its Application in Food Safety Analysis by Xinna Qin, Lina Zhao, Yang Zhang, Jiyong Shi, Haroon Elrasheid Tahir, Xuechao Xu, Kaiyi Zheng, Xiaobo Zou

    Published 2025-07-01
    “…Aptamers are single-stranded DNA or RNA oligonucleotides screened by systematic evolution of ligands by exponential enrichment (SELEX) methods, which are widely used in food analysis. Aptamers have the advantages of low molecular weight, ease of preparation, simplicity of chemical modification, and structural stability. …”
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  2. 9022

    Clinical variants, outcomes and prognosis of hypertrophic non-obstructive cardiomyopathy: results of long-term follow-up by D. V. Bogdanov, I. I. Shaposhnik

    Published 2019-11-01
    “…The clinical progression of HNOCM was manifested  by the diverse dynamics of complaints.  Structural  and functional progression was manifested mainly by a combination of different dynamics variants (in 79,1% of cases), including a decrease in the mobility of left ventricular walls, an increase  of left atrium  dimension,  aggravation  of diastolic  dysfunction,  but  not deterioration  of myocardial hypertrophy. …”
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  3. 9023

    ОPTIMAL ALGORITHM OF COMPLEX PROCESSING OF INFORMATION ABOUT THE SPATIAL POSITION OF AEROLOGICAL RADIOSONDE by E. A. Bolelov, Yu. M. Ermoshenko

    Published 2016-12-01
    “…Methods of Markov theory of optimal stochastic processes estimation used for optimal aggregation of information about position of different objects can be successfully used in aerological radiosonde ascents problems. …”
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  4. 9024

    Shadow Economy Drivers in Bosnia and Herzegovina: A MIMIC and SEM Approach by Bojan Baškot, Ognjen Erić, Dragan Gligorić, Milenko Krajišnik

    Published 2025-06-01
    “…Using the Multiple Indicators and Multiple Causes (MIMIC) model, an extension of Structural Equation Modeling, the paper estimates the size and dynamics of the shadow economy from 1996 to 2022. …”
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  5. 9025

    Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks by Yu Qian, Wang Sizhe, Tao Yixin

    Published 2025-01-01
    “…The paper also discusses potential strategies for further optimizing precision and recall, such as advanced graph architectures, oversampling methods, and enhanced node embedding techniques. Overall, this research highlights the power of graph-based deep learning approaches for anti-money laundering (AML) applications, demonstrating how structural and relational dependencies within financial networks can be leveraged to enhance detection accuracy.…”
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  6. 9026

    Assessing the Market Readiness for Medical Cannabis in Greece: A Qualitative Study of Patient Perspectives by Christos Ntais, Yioula Melanthiou

    Published 2025-05-01
    “…<b>Background:</b> The introduction of medical cannabis in Greece marks a shift in healthcare policy, yet patient attitudes remain underexplored. <b>Methods:</b> This qualitative study examines the market readiness for medical cannabis through semi-structured interviews with 24 participants—12 users of cannabidiol (CBD)-based formulations and 12 medical cannabis-naive individuals. …”
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  7. 9027

    Language Interference in Arabic Learning: A Case Study of Islamic Boarding Schools in Indonesia by Muhamad Solehudin, Yusuf Arisandi

    Published 2024-12-01
    “…This research contributes to a deeper understanding of language interference dynamics in the context of Islamic education in Indonesia and underscores the need for teaching methods that address these challenges effectively.…”
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  8. 9028

    Investigation into forces on offshore piles with constant and linearly varying diameters using CFD and extended Morison equation under separate wave and current loadings by Kemal Bal, Deniz Bayraktar Bural

    Published 2024-01-01
    “…These considerations support the development of enhanced design methods and optimization strategies, leading to safer and more efficient offshore structures.…”
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  9. 9029

    Метрики цифровой зрелости бизнеса в пределах микро-, мезо- и макроконтуров взаимодействия by Евгения Нигай

    Published 2024-12-01
    “…The article is aimed at supporting a decomposition approach to measure the digital maturity of an organization with the metrics of digital development in micro-, meso-, and macrocircuits. Materials and Methods. The article refers to the methods of systematization and generalization of information, comparative analysis, logical and structural decomposition and modeling. …”
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  10. 9030

    THE PROGRAM OF DEVELOPMENT OF THE SCHOOL AS A CONDITION OF PROVIDING NEW QUALITY OF EDUCATION: THE PROJECT APPROACH by Larisa N. Paskhalova, Irina V. Dolgopolova

    Published 2015-03-01
    “…The aim of the investigation is to generalize the experience on implementation of the Program of development of educational institution that allows providing high quality of education in the conditions of introduction of Federal Educational Standards of New Generation. Methods. Traditional psychological and pedagogical methods involve: stating, developing and control. …”
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  11. 9031

    Brain state forecasting for precise brain stimulation: Current approaches and future perspectives by Matteo De Matola, Carlo Miniussi

    Published 2025-02-01
    “…Among other factors, such low reproducibility is due to structural and functional variability between individual brains. …”
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  12. 9032

    Enhanced service life of existing infrastructure buildings by use of concrete screw anchors as post-installed shear reinforcement by Johannes Lechner, Jürgen Feix

    Published 2022-03-01
    “…As a replacement of existing structures is often highly unsustainable, methods to improve the shear strength are needed. …”
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  13. 9033

    Understanding care experiences amongst immigrant and refugee clients in a Ryan-White funded HIV clinic by Sirey Zhang, Peggy-ita Obeng-Nyarkoh, Antonia Altomare, Richard Zuckerman

    Published 2025-06-01
    “…Abstract Background Immigrants and refugees with HIV in high-income countries face unique challenges navigating their diagnoses due to cultural, social, and structural barriers, which impact access and adherence to care. …”
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  14. 9034

    “Russia, Rossia, Rus, Kolomna: Province”: Conceptualization of Space in B. Pylnyak’s Novel “Volga Flows into Caspian Sea” by M. A. Dubova

    Published 2023-04-01
    “…The principles of structuring and methods of objectification of the spatial continuum in B. …”
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  15. 9035
  16. 9036

    Adolescent with Human Immunodeficiency Virus - understanding family beliefs and values by Patrícia Neyva da Costa Pinheiro, Clarice Mendes de Freitas, Ligia Fernandes Scopacasa, Kelanne Lima da Silva, Fabiane do Amaral Gubert, Izaildo Tavares Luna

    Published 2017-09-01
    “…Objective: to understand how the beliefs and values of the families of HIV-positive adolescents for Human Immunodeficiency Virus influence family dynamicsMethods: this is a qualitative research with seven family members of adolescents with Human Immunodeficiency Virus, developed in a hospital of reference in infectious diseases. …”
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  17. 9037

    Adolescent with Human Immunodeficiency Virus - understanding family beliefs and values by Patrícia Neyva da Costa Pinheiro, Clarice Mendes de Freitas, Ligia Fernandes Scopacasa, Kelanne Lima da Silva, Fabiane do Amaral Gubert, Izaildo Tavares Luna

    Published 2017-09-01
    “…Objective: to understand how the beliefs and values of the families of HIV-positive adolescents for Human Immunodeficiency Virus influence family dynamicsMethods: this is a qualitative research with seven family members of adolescents with Human Immunodeficiency Virus, developed in a hospital of reference in infectious diseases. …”
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  18. 9038

    TRAINING AND EMPLOYMENT OF YOUNG SPECIALISTS IN THE AGRO-INDUSTRIAL COMPLEX OF THE REGION by Elvira POZUBENKOVA, Olga ULANOVA, Natalia GURYANOVA, Yuna RASYPNOVA, Elena TSYGANOVA

    Published 2022-01-01
    “…In the current research the authors based on statistical, computational and constructive methods, as well as systemic, structural, abstract-logical approaches. …”
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  19. 9039

    Bone flap resorption after complications of in elective neurosurgery (case study) by E. E. Rostorguev, N. S. Kuznetsova, G. N. Yadryshnikova

    Published 2020-08-01
    “…Сraniotomy is an integral part of modern elective neurosurgery which involves cutting a free bone flap to provide access to pathological intracranial structures with its reimplantation at the end of surgery.Bone flap grafting in the trepanation window with various fixation methods in the end of elective neurosurgery in the absence of severe cerebral edema or cancer-induced bone destruction is a standard procedure that restores the skull shape, cerebrospinal fluid dynamics and cerebral perfusion.According to the literature, the incidence of aseptic inflammation with subsequent resorption of the bone flap after craniotomy in elective neurosurgery is not clearly defined.An analysis of medical publications in the PUBMED database showed few reports of bone flap resorption after elective craniotomy, and no reports were found after the search in the eLibrary database.Thus, the number of reports on the bone flap resorption after craniotomy in elective neurosurgery is limited, and the pathophysiology of this process remains unclear.However, the described complication of craniotomy can lead to the dislocation of a bone flap, the development of a local pain syndrome, a cosmetic defect, and disturbances in cerebrospinal fluid dynamics.The article describes an example of partial resorption of a bone flap after craniotomy for the removal of meningioma in the middle third of the superior sagittal sinus, which required a number of repeated neurosurgical interventions. …”
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  20. 9040

    Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output by Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami

    Published 2025-07-01
    “…The study addresses the challenges of designing and assessing the power generation of FOWTs due to their multidisciplinary nature involving aerodynamics, hydrodynamics, structural dynamics, and control systems. A hybrid deep learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks is proposed to predict the performance of FOWTs accurately and more efficiently than traditional numerical models. …”
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