Detection of Gallbladder Disease Types Using a Feature Engineering-Based Developed CBIR System by Ahmet Bozdag, Muhammed Yildirim, Mucahit Karaduman, Hursit Burak Mutlu, Gulsah Karaduman, Aziz Aksoy

“…<b>Background/Objectives:</b> Early detection and diagnosis are important when treating gallbladder (GB) diseases. Poorer clinical outcomes and increased patient symptoms may result from any error or delay in diagnosis. …”
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Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures by Nishchal K. Verma

“…The main contribution of this paper is the estimation of fuzzy measures efficiently and directly from covariance matrices found in GMM, avoiding the computational burden greatly while learning them iteratively and solving polynomial equations of order of the number of input-output variables.…”
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Endoscopic Thyroidectomy for Differentiated Thyroid Cancer by Yi Yang, Xiaodong Gu, Xiaoxiao Wang, Jianbin Xiang, Zongyou Chen

“…Endoscopic thyroidectomy is a relatively new approach in treating differentiated thyroid cancer. Since last decades, more and more endoscopic thyroidectomies have been performed. …”
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A review of childhood vestibular disorders by Christine Rogers

“…Detrimental effects of childhood vestibular disorders may include delayed gross motor development, learning and spatial problems, and time off school. …”
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Measuring Comparative Statistical Effectiveness of Cancer Subtype Categorization Using Gene Expression Data by Avila Clemenshia P., Deepa C.

“…Correctly classifying cancer subtypes is critical for understanding cancer pathophysiology and effectively treating cancer patients by using gene expression data to categorize cancer subtypes. …”
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Young stroke in Bangladesh: addressing rare cases with diagnostic challenges and much-needed solutions by Manisha Das, Md Jubayer Hossain

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Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis by Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel

“…This study introduces an advanced expert system integrating Artificial Intelligence (AI) with Machine Learning (ML) to support nephrologists in assessing, treating, and managing FSGS. …”
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A Novel Approach in Oil Spill Detection, Identification, and Classification via Multisource Technologies and Artificial Intelligence by T. Avikasis Cohen, D. Angel, A. Brook

“…This study promotes an anomaly-based approach, treating oil spills as environmental outliers, and utilizes baseline water parameter comparisons to detect and monitor sea oil spills effectively. …”
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İLKÖĞRETİM ÖĞRENCİLERİNİN GÖRÜŞLERİNE GÖRE ÖĞRETMENLERİN ETKİLİLİĞİ by Erten GÖKÇE

“…In this study some suggestions were made to make teaching-learning process more efficient and effective, and some suggestions were also given to live up to students expectations…”
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Primary care providers and hypertension in pregnancy: Reflections on a patient encounter by Jagidesa Moodley, Prakash Jugnanden, Mergan Naidoo, Nnabuike C. Ngene

“…Case reviews within groups of medical practitioners provide an opportunity for learning in the practical management of obstetric emergencies. …”
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Jia-Wei-Kai-Xin-San Treatment Alleviated Mild Cognitive Impairment through Anti-Inflammatory and Antiapoptotic Mechanisms in SAMP8 Mice by Xiaolu Zhang, Yingxin Sun, Qun Yu, Wenyun Zeng, Yue Zhang, Miao Zeng, Kexin Pang, Yifei Yu, Jiali Gan, Huhu Li, Lin Yang, Xijuan Jiang

“…Jia-Wei-Kai-Xin-San (JWKXS) is applied for treating AD with MCI. However, the mechanism of JWKXS in the treatment of MCI is unclear. …”
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Metabolomics and network analysis reveal the mechanism of Salvia miltiorrhiza bunge extract in ameliorating cognitive dysfunction in sleep-deprived rats by Meiya Zhang, Xirui Huang, Mengxiang Dai, Shunbo Zhang, Chao Yin, Qiuyun You

“…Abstract Sleep deprivation (SD) causes learning memory and cognitive impairment. Salvia miltiorrhiza Bunge (Danshen, DS), a medicinal plant in the family Labiatae, has been traditionally used for sleep-related disorders. …”
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Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…Abstract Maximum drift ratio (MDR), one of the engineering demand parameters (EDPs), provides fundamental physical value for predicting building damage. Existing machine learning based prediction models mainly rely on numerical simulation data or structural experiments and are not appropriate for prediction of seismic response of real structures. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…To validate the effectiveness of our approach, we conducted experiments on several public datasets, and the experimental results show that the BERT-based network IDS significantly outperforms traditional machine learning (ML) and deep learning (DL) methods in terms of detection performance. …”
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Inter-laminar micro-endoscopic discectomy versus microdiscectomy in single-level posterolateral lumbar disc herniation: A comparative study by Mohamed Mohi Eldin, Ahmed Salah El Din Hassan, Omar Youssef Abdallah AboHamed, Ahmed Abdelaziz Nazem Hassan, Ahmed Hussein Omar

“…Although MED requires a steep learning curve, it remains safe even during the initial learning period, with outcomes and complication rates similar to those of MD.…”
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Cognitive enhancing effect of an extract of Swertia chirata against memory impairment induced by aluminum chloride by Reena Deshmukh, Manisha Jaiswal, Anshita Shukla, Umesh Patil, Mukesh Sharma

“…Its anti-inflammatory and antioxidant properties may contribute to its potential in treating cognitive disorders, including dementia and Alzheimer's disease.…”
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Preparedness of Dentists to Manage Anxiety in Developmentally Disabled Patients by Maura B. Lynch, Lynn M. Tepper, Steven Chussid, Renuka Bijoor

“…Regarding treating this population, the average response regarding both confidence and wanting to learn more fell between disagree and agree at 2.92, while the average response regarding concern about safety fell between agree and strongly agree at 3.22. …”
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Capsule Endoscopy Technology: A New Era in Digestive Tract Examination by Kang-ming Huang, Hua-bin Qiu, Yinghan Deng, Lian-hui Wu, Hong-bin Chen

“…Capsule endoscopy (CE) represents an important groundbreaking advancement in gastrointestinal (GI) examinations, distinguished by its noninvasive, painless, and convenient nature, and has swiftly established itself as a crucial tool for diagnosing and treating digestive diseases. With the development of artificial intelligence (AI) and machine learning (ML), as AI and ML progress, the capabilities of CE have expanded beyond mere imaging within the GI tract; it is progressively evolving to encompass procedures such as biopsies and targeted drug delivery. …”
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Transplanted Bone Marrow Mesenchymal Stem Cells Improve Memory in Rat Models of Alzheimer's Disease by Parvin Babaei, Bahram Soltani Tehrani, Arsalan Alizadeh

“…Adult bone marrow mesenchymal stem cells show promise in treating cognitive decline associated with aging and NBM lesions.…”
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Emergent behaviors in multiagent pursuit evasion games within a bounded 2D grid world by Sihan Xu, Zhaohui Dang

“…Abstract This study investigates emergent behaviors in multi-agent pursuit-evasion games within a bounded 2D grid world, where both pursuers and evaders employ multi-agent reinforcement learning (MARL) algorithms to develop adaptive strategies. …”
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