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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Development of a model for measuring sagittal plane parameters in 10–18-year old adolescents with idiopathic scoliosis based on RTMpose deep learning technology by Zhijie Kang, Guopeng Shi, Yong Zhu, Feng Li, Xiaohe Li, Haiyan Wang

“…The model's predictions for 15 anatomical parameters showed high consistency with experienced physicians, with intraclass correlation coefficients ranging from 0.892 to 0.991. …”
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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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A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes by Sijun Li, Qingdong Zhu, Aichun Huang, Yanqun Lan, Xiaoying Wei, Huawei He, Xiayan Meng, Weiwen Li, Yanrong Lin, Shixiong Yang

“…From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulfidptosis in the development of COPD could provide a opportunity for primary prediction, targeted prevention, and personalized treatment of the disease. …”
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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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Gut mycobiome alterations and network interactions with the bacteriome in patients with atherosclerotic cardiovascular disease by Guangming Su, Ping Huang, Dan Liu, Guorui Xing, Ruochun Guo, Shenghui Li, Shao Fan, Lin Cheng, Qiulong Yan, Wei Yang

“…Network key taxa identified in the ACVD gut microbiome network include Malassezia globosa c182, Nakaseomyces glabratus c88, Malassezia arunalokei c192, and Penicillium sumatraense c22. Predictive models that integrated both bacterial and fungal taxa enhanced prediction accuracy, underscoring the critical role of gut fungi in ACVD. …”
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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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METHODS OF EVALUATION OF THE FUNCTIONAL STATUS OF THE LIVER IN THE PLANNING OF ANATOMICAL RESECTIONS ABOUT PRIMARY AND METASTATIC TUMORS: CURRENT STATE OF THE PROBLEM, THEIR OWN EX... by D. V. Sidorov, N. A. Rubtsova, A. V. Leontyev, M. V. Lozhkin, L. O. Petrov, T. N. Lazutina, I. V. Pylova, P. A. Korolev, A. G. Isaeva

“…The aim of this study was to compare future remnant liver function assessed by 99mTc-technephyt dynamic hepatobiliary scintigraphy with results of methacetin breath test in the prediction of liver failure after major liver resection. …”
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Calculation of ternary Si-Fe-Al phase equilibrium in vacuum distillation by molecular interaction volume model by Liu K., Wu J.J., Ma W.H., Yang B., Yang X., Kong L.X., Zeng X.F., Dai Y.N.

“…A significant advantage of the model lies in its ability to predict the thermodynamic properties of liquid alloys using only binary infinite dilution activity coefficients. …”
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