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Academic Journal

Assessment of verbal memory in Parkinson's disease utilizing a virtual reality-based Rey Auditory Verbal Learning Test.

Authors : Gottlieb A; Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel. .; Kimel-Naor S

Subjects: Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/psychology ; Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/physiopathology ; Virtual Reality*

Source: Scientific reports [Sci Rep] 2024 Sep 18; Vol. 14 (1), pp. 21792. Date of Electronic Publication: 2024 Sep 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

Authors : Khan B; Department of Agricultural Construction and Environmental Engineering, Sylhet Agricultural University, Sylhet, 3100, Bangladesh. .; Das S

Subjects: Solanum lycopersicum* ; Bayes Theorem* ; Plant Diseases*

Source: Scientific reports [Sci Rep] 2024 Sep 14; Vol. 14 (1), pp. 21525. Date of Electronic Publication: 2024 Sep 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application.

Authors : Peng H; Oncology Department, Clinical Medical College, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, China.; Clinical Key Speciality (Oncology Department) of Sichuan Province, Chengdu, 610500, China.

Subjects: Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/radiotherapy ; Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/diagnostic imaging ; Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/pathology

Source: Scientific reports [Sci Rep] 2024 Nov 06; Vol. 14 (1), pp. 26937. Date of Electronic Publication: 2024 Nov 06.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Enhancing student critical thinking and learning outcomes through innovative pedagogical approaches in higher education: the mediating role of inclusive leadership.

Authors : Bhuttah TM; School of Education, Zhejiang Normal University, No 688, Yingbin Avenue, Wucheng District, Jinhua City, 321004, Zhejiang Province, China.; Xusheng Q

Subjects: Leadership* ; Thinking* ; Students*/Students*/Students*/psychology

Source: Scientific reports [Sci Rep] 2024 Oct 17; Vol. 14 (1), pp. 24362. Date of Electronic Publication: 2024 Oct 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Exploring breed differences in discrimination, reversal learning, and resistance to extinction in the domestic dog (Canis familiaris).

Authors : Azadian A; Animal Welfare Program, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada. .; Protopopova A

Subjects: Reversal Learning*/Reversal Learning*/Reversal Learning*/physiology ; Behavior, Animal*/Behavior, Animal*/Behavior, Animal*/physiology; Animals

Source: Scientific reports [Sci Rep] 2024 Oct 15; Vol. 14 (1), pp. 24143. Date of Electronic Publication: 2024 Oct 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs.

Authors : Kim MJ; Department of Medical and Digital Engineering, Hanyang University, Seoul, 04763, Republic of Korea.; Chae SG

Subjects: Periodontal Diseases*/Periodontal Diseases*/Periodontal Diseases*/diagnostic imaging ; Radiography, Panoramic*/Radiography, Panoramic*/Radiography, Panoramic*/methods ; Deep Learning*

Source: Scientific reports [Sci Rep] 2024 Oct 05; Vol. 14 (1), pp. 23237. Date of Electronic Publication: 2024 Oct 05.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Automated gall bladder cancer detection using artificial gorilla troops optimizer with transfer learning on ultrasound images.

Authors : Alazwari S; Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.; Alsamri J

Subjects: Gallbladder Neoplasms*/Gallbladder Neoplasms*/Gallbladder Neoplasms*/diagnostic imaging ; Ultrasonography*/Ultrasonography*/Ultrasonography*/methods ; Deep Learning*

Source: Scientific reports [Sci Rep] 2024 Sep 19; Vol. 14 (1), pp. 21845. Date of Electronic Publication: 2024 Sep 19.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism.

Authors : Alreshidi FS; Department of Family and Community Medicine, College of Medicine, University of Ha'il, Ha'il, Saudi Arabia.; Alsaffar M

Subjects: Atrial Fibrillation*/Atrial Fibrillation*/Atrial Fibrillation*/diagnosis ; Atrial Fibrillation*/Atrial Fibrillation*/Atrial Fibrillation*/physiopathology ; Electrocardiography*/Electrocardiography*/Electrocardiography*/methods

Source: Scientific reports [Sci Rep] 2024 Sep 09; Vol. 14 (1), pp. 21038. Date of Electronic Publication: 2024 Sep 09.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Establishment of a corneal ulcer prognostic model based on machine learning.

Authors : Wang MT; Department of Ophthalmology, The First Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China.; Cai YR

Subjects: Corneal Ulcer*/Corneal Ulcer*/Corneal Ulcer*/diagnosis ; Machine Learning*; Humans

Source: Scientific reports [Sci Rep] 2024 Jul 12; Vol. 14 (1), pp. 16154. Date of Electronic Publication: 2024 Jul 12.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.

Authors : Moulaei K; Department of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.; Afrash MR

Subjects: Machine Learning* ; Methanol*/Methanol*/Methanol*/poisoning ; Artificial Intelligence*

Source: Scientific reports [Sci Rep] 2024 Jul 08; Vol. 14 (1), pp. 15751. Date of Electronic Publication: 2024 Jul 08.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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نتائج البحث

فلترة النتائج

Assessment of verbal memory in Parkinson's disease utilizing a virtual reality-based Rey Auditory Verbal Learning Test.

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application.

Enhancing student critical thinking and learning outcomes through innovative pedagogical approaches in higher education: the mediating role of inclusive leadership.

Exploring breed differences in discrimination, reversal learning, and resistance to extinction in the domestic dog (Canis familiaris).

Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs.

Automated gall bladder cancer detection using artificial gorilla troops optimizer with transfer learning on ultrasound images.

Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism.

Establishment of a corneal ulcer prognostic model based on machine learning.

Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.

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