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  1. 8181

    Investigating amygdala nuclei volumes in military personnel with post-traumatic stress disorder, major depressive disorder, and adjustment disorder: A retrospective cross-sectional... by Thiemo Knaust, Dagmar Tarnogorski, Matthias B D Siebler, Philipp Skiberowski, Christian Moritz, Helge Höllmer, Holger Schulz

    Published 2025-01-01
    “…Sensitivity analyses further examined the impact of depressive episode type (first vs. recurrent), severity (mild, moderate, severe), and AdjD symptom duration.<h4>Results</h4>The main analyses revealed no significant differences in the volumes of the basolateral and medial amygdala nuclei among the PTSD, MDD, PTSD+MDD, and AdjD groups. …”
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  2. 8182
  3. 8183

    Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

    Published 2025-01-01
    “…Much interest has recently been drawn to brain age prediction due to the significant development in machine learning and image processing techniques. Studies based on brain magnetic resonance images showed a strong relationship between the brain ageing process and accelerated brain atrophy, suggesting using brain age prediction models for early diagnosis of neurodegenerative disorders, such as Parkinson&#x2019;s, Schizophrenia, and Alzheimer&#x2019;s disease. …”
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  4. 8184
  5. 8185

    Current situation of glacier and snow glades in the southern mountain area of Lesser Caucasus province by Джамал Гусейнов, Аллахверді Тагієв

    Published 2024-12-01
    “…In periods with higher average annual temperature, the process of glacier melting accelerates.…”
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  6. 8186

    Analisis Perbandingan Teknik Word2vec dan Doc2vec dalam Mengukur Kemiripan Dokumen Menggunakan Cosine Similarity by Dede Iskandar, Ana Kurniawati

    Published 2025-02-01
    “…The research methodology includes data collection, text mining, text pre-processing, Word2vec and Doc2vec techniques implementations, and Cosine Similarity measurement. …”
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  7. 8187

    Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

    Published 2025-07-01
    “…The model mitigates the impact of grayscale variations by leveraging local contextual information, which improves segmentation accuracy. The main purpose of this paper is to propose a new model for medical image segmentation based on a neighborhood-level set framework and the ADMM method. …”
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  8. 8188
  9. 8189

    Bangladeshi Vehicle Classification and Detection Using Deep Convolutional Neural Networks With Transfer Learning by Farid, Proshanta Kumer Das, Monirul Islam, Ebna Sina

    Published 2025-01-01
    “…Vehicle classification and detection has been a field of application for deep learning and image processing which play a very important role in intelligent transport management and AI-assisted driving systems. …”
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  10. 8190
  11. 8191

    Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

    Published 2025-06-01
    “…Regarding this challenge, our research proposes a new approach in the signal processing chain and feature extraction from microtremor data that focuses mainly on the Horizontal-to-Vertical Spectral Ratio (HVSR) so as to assess liquefaction potential as a natural hazard using AI. …”
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  12. 8192

    Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

    Published 2025-05-01
    “…As exploration efforts shift from the main No.1 and No.5 fault zones to the northeastern and northwestern fault zones in the eastern and western regions, the underground geological conditions become more complex, and exploration costs rise significantly. …”
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  13. 8193

    Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data by Ahmed Ghassan Tawfiq AbuRaed, Emil Azuma Prikryl, Giuseppe Carenini, Naveed Zafar Janjua

    Published 2024-12-01
    “…ResultsTopic modeling identified five main topics: (1) long COVID in people including children in the context of vaccination, (2) duration and suffering associated with long COVID, (3) persistent symptoms of long COVID, (4) the need for research on long COVID treatment, and (5) measuring long COVID symptoms. …”
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  14. 8194

    المرونة المالية وتأثيرها في الحد من هشاشة النظام المصرفي (دراسة تحليلية لعينة من المصارف العراقية الخاصة)... by يوسف حجيم الطائي, حيدر جاسم الجبوري

    Published 2018-07-01
    “…For processing the data, many financial equations and statistical methods were used and the results were extracted using the AMOS software.   …”
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  15. 8195

    Physicochemical characteristics of ferroalloys of the Cr–C–Si–Fe system by Kuatbay Yerbol, Zayakin Oleg, Mikhailova Lyudmila, Kelamanov Bauyrzhan, Zhuniskaliyev Talgat, Aitkenov Nurbek, Uakhitova Bagdagul, Mukhambetkaliyev Azamat, Yerzhanov Almas, Tolymbekova Lyazat, Abdirashit Assylbek, Volokitina Irina

    Published 2025-04-01
    “…This necessitates the development of new ferroalloy compositions with the most favorable physicochemical characteristics for steel processing that account for the lower temperature in the ladle and the limited time for reagent interaction. …”
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  16. 8196

    Analysis of some factors influencing the performance of college students: An example of Computer Science education by L. V. Gubina, T. V. Alekseeva, O. A. Strakhov

    Published 2020-03-01
    “…The increased popularity of the secondary vocational education system is evidenced by the fact that more than half of the Russian teenagers after graduating from the main stage of secondary school become applicants of technical schools and colleges. …”
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  17. 8197

    Variability in Distillers’ Co-Product Compositions and Their Nutritional Availability for Pigs: Insights from a Systematic Literature Review by Herbert Rech, Alícia Zem Fraga, Carolina Haubert Franceschi, Alexandre Bonadiman Mariani, Caroline Romeiro de Oliveira, Gabriela Miotto Galli, Marie-Pierre Létourneau-Montminy, Luciano Hauschild, Teresinha Marisa Bertol, Ines Andretta

    Published 2024-11-01
    “…These results suggest that the nutritional matrix of co-products should be assessed for each processing plant. Nevertheless, a coefficient of variation of up to 6% was found for crude protein and up to 20% for ether extract. …”
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  18. 8198

    Tririum in urine in residents of Ozyorsk, the Chelyabinsk region in 2016 by L. V. Finashov, V. V. Vostrotin, A. Yu. Yanov

    Published 2019-10-01
    “…A questionary was developed that allowed collection of individual data on the water intake regime, on the occupational activity and the living conditions of people under study. Statistical processing was performed using software Excel-2013 and R. …”
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  19. 8199

    Correlation between quality traits of kernels, hard semolina, pasta of durum winter wheat by N. E. Samofalova, N. P. Ilichkina, T. S. Bezuglaya, N. S. Kravchenko, A. S. Ivanisova, N. V. Kabanova, О. А. Dubinina

    Published 2022-09-01
    “…The high requirements imposed by modern pasta processing enterprises on the grain quality of both spring and winter Triticum durum dictate the necessity to develop new methods, approaches for estimating breeding material and selecting high-quality genotypes. …”
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  20. 8200

    DYNAMICS OF MMP-8, SRANKL, AND OSTEOCALCIN CONCENTRATIONS IN THE ORAL FLUID OF PATIENTS WITH SECONDARY EDENTULISM AND AFTER PROSTHETIC TREATMENT by R.V. Tsynkush, O.V. Voznyi

    Published 2025-03-01
    “…The predominance of resorptive processes over bone formation in the alveolar ridge area can be the main cause of premature tooth loss, while inflammatory changes in the periodontal tissues accelerate disease progression. …”
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