Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study by Moustaq Karim Khan Rony, Sumon Ahmad, Dipak Chandra Das, Sabren Mukta Tanha, Tuli Rani Deb, Mosammat Ruma Akter, Mst. Amena Khatun, Md Ibrahim Khalil, Umme Rabeya Peu, Mst. Rina Parvin, Daifallah M. Alrazeeni, Fazila Akter

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Global insights into the genome dynamics of Clostridioides difficile associated with antimicrobial resistance, virulence, and genomic adaptations among clonal lineages by Mohammad Sholeh, Mohammad Sholeh, Masoumeh Beig, Masoumeh Beig, Ebrahim Kouhsari, Mahdi Rohani, Mohammad Katouli, Farzad Badmasti

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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Pandas, NumPy, Scikitlearn, and Matplotlib libraries were used as tools to process, analyze, and visualize the data. The research is based on data from official statistical agencies and financial institutions, including historical data on macroeconomic indexes, market trends, and financial risks. …”
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Association of white matter hyperintensity burden and infarct volume in the anterior choroidal artery territory with early neurological progression: a dual-center retrospective stu... by Weiwei Gao, Weiwei Gao, Lixue Wang, Junyi Huang, Yitao Yu, Jingjing She, Jingjing She, Jingjing She, Mingyang Wang, Lijuan Cai, Lijuan Cai, Taishan Kang, Xingyu Chen, Xingyu Chen, Jianzhong Lin, Renjing Zhu, Renjing Zhu, Renjing Zhu

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Online Face Detection and Recognition in a Video Stream by Maha Hasso Al-Ghurery, Manar Zidan Al-Abaji

“…Faces detection and recognition process received considerable attention during the past decade, it is still considered one of the most important studies in the field of Image Processing, Pattern Recognition, and Computer Vision, where it drew the attention of many researchers from both the academic and industrial environments because of the broad scope of its practical applications. …”
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An eXplainable deep learning model for multi-modal MRI grading of IDH-mutant astrocytomas by Hamail Ayaz, Oladosu Oladimeji, Ian McLoughlin, David Tormey, Thomas C. Booth, Saritha Unnikrishnan

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Brightening the path to safe liver transplants: the role of ICG fluorescence in biliary anastomosis by Laura Vidal, Martín Huerta, Mar Dalmau, Nair Fernandes, Cristina Dopazo, Mireia Caralt, Ramón Charco, Itxarone Bilbao, Concepción Gómez-Gavara

“…Donors included those with brain death and circulatory death (DCD).Interventions ICG was administered intravenously as a 3 mg bolus dose to evaluate the vascularization of the bile duct stumps. Fluorescence was visualized using a high-definition camera system during surgery, and adjustments to the anastomosis site were made based on the fluorescence patterns observed.Main outcome measures The primary outcome was the identification of non-vascularized (non-fluorescent) bile duct tissue and subsequent adjustments to the anastomosis site. …”
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Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated... by Raul F. Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Keila E. Torres, Robert S. Benjamin, Jingfei Ma, Ken-Pin Hwang, R. Jason Stafford, Dejka Araujo, Andrew J. Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V. Valenzuela, Chengyue Wu, John E. Madewell, William A. Murphy, Colleen M. Costelloe

“…Methods An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. …”
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Spatial and temporal evaluation of iodine uptake and radiodensity in meniscus tissue using contrast-enhanced micro-CT by Federica Orellana, Alberto Grassi, Katja M. Nuss, Peter Wahl, Antonia Neels, Stefano Zaffagnini, Annapaola Parrilli

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Immune regulation and the tumor microenvironment in anti-PD-1/PDL-1 and anti-CTLA-4 therapies for cancer immune evasion: A bibliometric analysis by Yi Huang, Zhijian Chen, Gang Shen, Shuogui Fang, Junjiong Zheng, Zepai Chi, Yuanfeng Zhang, Yitong Zou, Qinghua Gan, Chengxiao Liao, Yuhui Yao, Jianqiu Kong, Xinxiang Fan

“…This study aims to conduct a bibliometric analysis, employing visualization tools to examine literature pertaining to tumor immune evasion related to anti-CTLA-4 and anti-PD-1/PD-L1 therapy from 1999 to 2022. …”
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Time-Series analysis of PM10 and PM2.5 pollutants and estimation of its health effects in Khorramabad city during a period of 5 years by Faramarz Azimi, Mansour Ghaderpoori, Fariba Hafezi

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Enhancing fish drying efficiency and quality: A comparative study of intermittent microwave convective drying (IMCD) and conventional methods by Mohammad U.H. Joardder, Abdul Mojid Parvej, Md. Fahim Shahriar, Md. Fahim Faysal, Md. Mostafizur Rahman, Azharul Karim

“…Notably, there is inadequate research on the use of IMCD for fish drying. This study addresses this critical gap by investigating the effects of microwave intermittency on drying kinetics, energy consumption, and key quality attributes of fish, including shrinkage, rehydration capacity and visual appearance. …”
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Features of the Effect of Cataracts and Glaucoma on the Daily Activities of Patients with Sarcopenic Obesity by O. L. Fabrikantov, A. E. Kopylov, N. M. Agarkov

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Effects of Different Individuals and Verbal Tones on Neural Networks in the Brain of Children with Cerebral Palsy by Ryosuke Yamauchi, Hiroki Ito, Ken Kitai, Kohei Okuyama, Osamu Katayama, Kiichiro Morita, Shin Murata, Takayuki Kodama

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Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review by Diana-Margarita Córdova-Esparza, Juan Terven, Julio-Alejandro Romero-González, Karen-Edith Córdova-Esparza, Rocio-Edith López-Martínez, Teresa García-Ramírez, Ricardo Chaparro-Sánchez

“…The results highlight a wide range of predictive tools and methodologies, notably data visualization platforms (e.g., Power BI) and algorithms like decision trees, Random Forest, and logistic regression, demonstrating effectiveness in identifying dropout patterns and at-risk students. …”
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A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques by Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood

“…Heatmaps and ROC curves were created to visualize the results. Results The models achieved high classification performance with different configurations. …”
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An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation by S. Du, H. Huang, K. Shen, Z. Liu, S. Tang

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Case Report: A rare case of asymptomatic unroofed coronary sinus in a dog: diagnostic imaging and genetic findings by Yoonju Choi, Wonkyoung Yoon, Byung-Yong Park, Young-Jin Jang, Kichang Lee, Hakyoung Yoon

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Influence of Digital Policy and Governance Sustainability on Student Online Shopping Behavior Through Instagram by Malek Nur Afiqah Aqilah Binti Abdul, Wiranatakusuma Dimas Bagus, Aprizal Anggi

“…Employing VOSviewer software, 30 articles underwent bibliometric scrutiny, facilitating the visualization of patterns such as keyword co-occurrence. …”
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Monitoring Vertical Urban Growth in Rapidly Developing Cities with Persistent Scatterer Interferometry: A Multi-Temporal Assessment with COSMO-SkyMed Data in Wuhan, China by Zeeshan Afzal, Timo Balz, Francesca Cigna, Deodato Tapete

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