Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings by Elina Lesyk, Tomás Arias-Vergara, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave, Paula Andrea Perez-Toro

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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

“…Data clustering was performed using the deflection of the cantilever beam to boost classification accuracy.Results and discussionOnline object materials detection shows an accuracy of 95.46% in a study of ten objects [metals (steel, cast iron), plastics (foam, compressed plastic), wood, silicon, rubber, leather, brick and cartoon]. …”
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The role of endoscopic investigation in expertise and rehabilitation diagnostics of patients and disabled persons after stomach surgery by K. A. Velikolug, Zh. M. Sizova, Ye. K. Baranskaya

“…According to chronometry data, functionally passive anastomosis was found in 47,3% of patients, functionally active anastomosis of the 1 degree – in 25,4%, of II degree – at 22,7%, of the III degree – at 4,6%. Authors give a new definition to the term «expertise and rehabilitational endoscopy» and the new diagnostic procedure is introduced into practice of medical and social examination for the first time.Conclusions. …”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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Comprehensive analysis of 111 Pleuronectiformes mitochondrial genomes: insights into structure, conservation, variation and evolution by Suxu Tan, Wenwen Wang, Jinjiang Li, Zhenxia Sha

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Meaningful Multimodal Emotion Recognition Based on Capsule Graph Transformer Architecture by Hajar Filali, Chafik Boulealam, Khalid El Fazazy, Adnane Mohamed Mahraz, Hamid Tairi, Jamal Riffi

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Parkinsonism and Sjögren’s Syndrome: A Fortuitous Association or a Shared Immunopathogenesis? by Mariem Kchaou, Nadia Ben Ali, Intissar Hmida, Saloua Fray, Hela Jamoussi, Mohamed Jalleli, Slim Echebbi, Afef Achouri, Samir Belal

“…Extrapyramidal signs are known to be very rare and unusually discovered on early onset in this pathology. Observation. A 46-year-old woman with a history of progressive Parkinsonism for 6 years and a normal brain magnetic resonance imaging was partially improved with levodopa therapy. …”
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Cystic Echinococcosis/Hydatid Cyst Coinfection with HIV: A Report from Shiraz, Iran by Yosef Sharifi, Seyed Mahmoud Sadjjadi, Hamed Nikoupour Dailami, Seyed Hamed Jafari, Mohammad Hossein Anbardar, Mohammad Bagher Khosravi

“…Here, the first case of liver hydatid cyst coinfected with HIV in Iran is reported. The patient is a 46-year-old female HIV-positive based on the laboratory report. …”
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Knowledge and attitude towards ankle sprain management among primary care physicians in the department of family medicine, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia by Abdullah A. Alzahrani, Norah A. AlQarni, Fahad S. Alghamdi, Tariq A. Alghamdi

“…Conclusion: The study found that primary care physicians have average knowledge about ankle sprains, diagnosis, classification, and treatment, with lower knowledge of follow-up plans. …”
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Six-Year Real-World Outcomes of Antivascular Endothelial Growth Factor Monotherapy and Combination Therapy for Various Subtypes of Polypoidal Choroidal Vasculopathy by Jingyuan Yang, Mingzhen Yuan, Song Xia, Youxin Chen

“…Forty-eight treatment-naive PCV eyes of 46 patients were reviewed retrospectively, which underwent anti-VEGF monotherapy or initial combination therapy. …”
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CMIP6 GCMs Projected Future Koppen‐Geiger Climate Zones on a Global Scale by Young Hoon Song, Eun‐Sung Chung, Brian Odhiambo Ayugi

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Comparative Analysis of Biomarkers in Type 2 Diabetes Patients With and Without Comorbidities: Insights Into the Role of Hypertension and Cardiovascular Disease by Symeon Savvopoulos, Haralampos Hatzikirou, Herbert F Jelinek

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Exploring Outcome Measures for Exercise Intervention in People with Parkinson’s Disease by L. A. King, A. Salarian, M. Mancini, K. C. Priest, J. Nutt, A. Serdar, J. Wilhelm, J. Schlimgen, M. Smith, F. B. Horak

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Inter-Regional Cooperation for Sustainable Mangrove Management in Jakarta Bay by R. Budiono Subambang, Ario Damar, Taryono, Rahmat Kurnia, Dietriech G. Bengen

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Reading Modi Lipi: A Deep Learning Journey in Character Recognition by Kanchan Varpe, Sachin Sakhare

“…Utilization of residual networks and inception in image classification has gained popularity in recent times. …”
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Vibration-Based Damage Prediction in Composite Concrete–Steel Structures Using Finite Elements by Mario D. Cedeño-Rodríguez, Sergio J. Yanez, Erick I. Saavedra-Flores, Carlos Felipe Guzmán, Juan Carlos Pina

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The Impact of Gross Motor Function on the Oral Health-Related Quality of Life in Young Adults with Cerebral Palsy in Saudi Arabia by Sharat Chandra Pani, Saja Fahad AlEidan, Rawan Nasser AlMutairi, AlJawharah Ali AlAbsi, Dalal Nasser AlMuhaidib, Hessa Faisal AlSulaiman, Najd Waleed AlFraih

“…Methods. The sample comprised 46 individuals aged between 13 and 17 years with Gross Motor Function Classification Scores (GMFCS) ranging from level I to level III. …”
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Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population by Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi

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Sistem Pendeteksi Central Sleep Apnea Menggunakan Metode Neural Network dengan Fitur RR Interval dan Durasi QRS by Dittha Ratanasari, Edita Rosana Widasari, Rizal Maulana

“…The sensor detection system performance test yielded a result of 96.18%, and the percentage accuracy of Neural Network classification was 83.3% with a processing time of 46.44ms. …”
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Early prediction of long COVID-19 syndrome persistence at 12 months after hospitalisation: a prospective observational study from Ukraine by Dmytro Chumachenko, Tetyana Chumachenko, Oleksii Honchar, Tetiana Ashcheulova

“…A simple artificial neural networks-based binary classification model using peak ESR, creatinine, ALT and weight loss during the acute phase, predischarge 6-minute walk distance and complex survey-based symptoms assessment as inputs has shown a 92% accuracy with an area under receiver-operator characteristic curve 0.931 in prediction of LCS symptoms persistence at 12 months.…”
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