Risk of Dementia and Its Associated Factors Among the Patients With Coronary Artery Disease Attending a Tertiary Cardiac Hospital of Dhaka City: A Cross‐Sectional Study by Fardina Rahman Omi, Lingkan Barua, Palash Chandra Banik, Syed Mosfiqur Rahman, Mithila Faruque

“…Furthermore, no dementia risk prediction tool has yet been applied to estimate the risk in any population in Bangladesh. …”
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Transcranial brain atlas based on photon measurement density function in a triple-parameter standard channel space by Lijiang Wei, Yang Zhao, Farui Liu, Yuanyuan Chen, Yilong Xu, Zheng Li, Chaozhe Zhu

“…The PMDF-TBA contains group-averaged sensitivities of channels to gray matter and brain regions as defined in 3 atlases: Brodmann, AAL2, and LPBA40. We evaluated the prediction ability of PMDF-TBA for sensitivity of unseen individuals. …”
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A two-stage deep learning-based hybrid model for daily wind speed forecasting by Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, Saeid Mehdizadeh, Brij B. Gupta, Hao-Ting Pai, Danyal Shahmirzadi, Ely Salwana, Amir Mosavi

“…This study finds that the novel hybrid models exhibit superior performance to standalone GB and LSTM models, opening the pathway to alternative WS prediction techniques.…”
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Exploring <i>RNF213</i> in Ischemic Stroke and Moyamoya Disease: From Cellular Models to Clinical Insights by Benjamin Y. Q. Tan, Charlene H. P. Kok, Megan B. J. Ng, Shaun Loong, Eric Jou, Leonard L. L. Yeo, Weiping Han, Christopher D. Anderson, Chiea Chuen Khor, Poh San Lai

“…Additionally, we address the gene’s implications for disease prediction, risk assessment, and cascade screening. …”
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Risk Factors Associated with Leishmaniasis in the Most Affected Provinces by Leishmania infantum in Morocco by Maryam Hakkour, Asmae Hmamouch, Mohamed Mahmoud El Alem, Abdelhakim Bouyahya, Abdelaali Balahbib, Abdelhak EL Khazraji, Hajiba Fellah, Abderrahim Sadak, Faiza Sebti

“…Our study revealed that the risk factor associated with cutaneous and visceral leishmaniasis in northern Morocco could help in the establishment of a prediction program.…”
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A Bioclinical Pattern for the Early Diagnosis of Cardioembolic Stroke by Bruno Zecca, Clara Mandelli, Alberto Maino, Chiara Casiraghi, Giovanbattista Bolla, Dario Consonni, Paola Santalucia, Giuseppe Torgano

“…We aim to evaluate if plasma biomarkers can predict stroke subtypes in the early phase from stroke onset. …”
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Identification of heterogeneous constitutive model of laser additive manufactured materials based on nano-indentation test and orthogonal metal cutting by Meng Liu, Guohe Li, Shanshan Zhao, Feng Wang, Lei Li, Yujun Cai, Chunzheng Duan

“…Furthermore, finite element simulations of cutting force and chip morphology in different zones of AM-ed materials exhibits excellent agreement with experimental results. The maximum prediction errors for main cutting force and feeding force are 10.87% and 12.71%, highlighting the precision of the developed Johnson-Cook constitutive model. …”
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Convective Cold Pool Associated with Offshore Propagation of Convection System over the East Coast of Southern Sumatra, Indonesia by Erma Yulihastin, Ibnu Fathrio, Trismidianto, Fadli Nauval, Elfira Saufina, Wendi Harjupa, Didi Satiadi, Danang Eko Nuryanto

“…This study investigated a cold pool event (January 1-2, 2021) related to a heavy rainfall system over the coastal region of Lampung, Southern Sumatra, within a high-resolution model simulation using a regional numerical weather prediction of the Weather Research and Forecasting (WRF) with convection permitting of 1 km spatial resolution, which was validated by satellite and radar data observations. …”
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Nutritional Diversity and Antioxidant Activity of Two Indigenous Quince Ecotypes from Rawalakot, Azad Jammu and Kashmir by Noosheen Zahid, Mehdi Maqbool, Majid Mahmood Tahir, Abdul Hamid, Aqeel Ahmad, Muhammad Shafique Khalid, Haseeb ur Rehman, Nasir Masood, Shahid Iqbal Awan, Javaid Riffat Khan, Asgar Ali, Syed Zulfiqar Ali Shah

“…Similarly, fruit quality indices and bioactive compounds showed a positive correlation with the increased soil nutrient contents. These prediction models for quality of quince could be useful in guiding plant nutrition status and for enhancing fruit production in this region.…”
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Anaerobic digestion bacteria algae (ADBA): A mathematical model of mixotrophic algal growth with indigenous bacterial inhibition in anaerobic digestion effluent by S M Hasan Shahriar Rahat, Oluwatunmise Israel Dada, Liang Yu, Helmut Kirchhoff, Shulin Chen

“…A comprehensive kinetic model called anaerobic digestion bacteria algae (ADBA) was developed to describe and predict the complex algae-bacterial system in anaerobic digestion (AD) wastewater under mixotrophic growth conditions. …”
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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…Overall, the random forest model performed the best in predicting VPD (R²=0.98, NSE=0.98, MAE=0.04, RMSE=0.06, RSR=0.13, and KGE=0.98). …”
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Clinical and Hematological Manifestation of Dengue Patients in 2022 Outbreak: A Tertiary Care Hospital‐Based Cross‐Sectional Study by Md. Jubayer Hossain, Manisha Das, Muhibullah Shahjahan, Md. Wahidul Islam, Syeda Tasneem Towhid

“…Conclusion Accurate clinical and laboratory assessments are vital for the treatment and prediction of dengue outcomes in Bangladesh, given the severe manifestations of dengue shock syndrome (DSS). …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…For instance, Ji et al. in 2007 developed an artificial neural network (ANN)-based system for rice yield prediction in Fujian, China, improving accuracy over traditional models. …”
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Functional connectome gradient of prefrontal cortex as biomarkers of high risk for internet gaming disorder by Xinwen Wen, Lirong Yue, Zhe Du, Jiahao Zhao, Mengjiao Ge, Cunfeng Yuan, Hongmei Wang, Qinghua He, Kai Yuan

“…These findings advanced understanding of the biological and behavioral heterogeneity associated with developing of IGD, and represented a promising step toward the prediction of high-risk individuals.…”
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Metabolomics-Driven Insights into Biomarkers for Poor Ovarian Response: A Narrative Review by Anastasios Potiris, Sofoklis Stavros, Eleni Alyfanti, Nikolaos Machairiotis, Eirini Drakaki, Athanasios Zikopoulos, Efthalia Moustakli, Charikleia Skentou, Peter Drakakis, Ekaterini Domali

“…Metabolomics has significantly advanced our understanding of the mechanisms underlying ovarian function and holds promise for identifying effective biomarkers that could improve the prediction and management of POR.…”
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Predictors for recurrence of chronic osteomyelitis following long bones cavity defect replacement with synthetic materials by Alexander V. Afanasyev, Svetlana A. Bozhkova, Vasily A. Artyukh

“…Aim of the study: to determine significant risk factors of infection recurrence during one- and two-stage treatment of a cavity defect with synthetic materials in patients with chronic osteomyelitis and to create an assessment scale for prediction of the treatment outcome based on this data. …”
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EXPERIENCE OF PROJECT-BASED LEARNING: AN ATTEMPT AT OBJECTIVE ANALYSIS OF RESULTS AND PROBLEMS by D. A. Trishchenko

“…In other cases, it will require a substantial restructuring of the educational process, careful prediction of its final results, change of approaches to teaching all disciplines, and accordance of the educational curricula to design technologies. …”
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Free vibration analysis of aluminum foam metal sandwich panels: a comparative study between numerical and analytical modelling by Zahra Hamdan, Sadeq Bakhy, Muhsin Jweeg

“…The discrepancies between the numerical simulation and analytical predictions decreased with increasing foam density. …”
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Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…This study highlights the potential of hybrid data-driven approaches, combining machine learning, mechanistic model and stochastic prediction to simplify the complex environmental process, allowing for integrated risk evaluations.…”
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Research on leakage and diffusion behavior of hydrogen doped natural gas in integrated pipeline corridors based on data drive by Xiaolong Gong, Hua Li, Cheng Li, Mingyue Kou, Lingxu Kong, Hongcheng Liu

“…In addition, the backpropagation neural network (BPNN) combined with the global optimization capability of genetic algorithm and the nonlinear mapping capability of neural network is used in this paper to provide a reliable technical means for the accurate prediction of explosion risk volume, which has important application value in the safety design of pipeline corridor and accident prevention and control. …”
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