The collaborative cross mouse for studying the effect of host genetic background on memory impairments due to obesity and diabetes by Avia Paz, Kareem Midlej, Osayd Zohud, Iqbal M. Lone, Fuad A. Iraqi

“…The genetic components may offer new tools for early prediction and prevention.…”
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Research on the acoustic emission characteristics and instability correlation effect of the dynamic response of waste dump slopes by Shaoqiang Liu, Hongbao Zhao, Menglai Wang

“…The research results provide new theoretical and methodological support for the monitoring and prediction of the dynamic instability of the waste dump slope, which is of great significance for improving the safety of the waste dump slope.…”
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The diagnostic and prognostic value of serum miR-199a-5p combined with echocardiography in acute myocardial infarction by Lixin Xu, Jianfeng Lin, Jianke Xia, Deng Chen, Guohan He

“…The combination of miR-199a-5p with LVEF improved the prediction of MACE. Conclusions The combination of miR-199a-5p with echocardiography improved the diagnostic efficiency of AMI and provided prognostic information.…”
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Modeling solar power plant electricity supply chain toward renewable energy consumption by Mohammad Reza Eslami Rasekh, Farzad Mohammad Sharifi, Somaieh Alavi, Nassibeh Janatyan

“…This optimal mode leads to the maximum reduction of gas consumption in the gas power plant, and on the other hand, the amount of pollution is minimized. The prediction of this number of power plants with different priorities is presented in this article and different policies can be considered strategically for this model of the supply chain.…”
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Effect of Thermal Processing on Simultaneous Formation of Acrylamide and Hydroxymethylfurfural in Plum Purée by Oana Emilia Constantin, Kristina Kukurová, Ľubomír Daško, Nicoleta Stănciuc, Zuzana Ciesarova, Constantin Croitoru, Gabriela Rapeanu

“…The results obtained allowed the prediction of the ACR/HMF levels in plum purée for different heating conditions.…”
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A Survey of Matrix Completion Methods for Recommendation Systems by Andy Ramlatchan, Mengyun Yang, Quan Liu, Min Li, Jianxin Wang, Yaohang Li

“…The collaborative filtering problem can be viewed as predicting the favorability of a user with respect to new items of commodities. …”
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Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm (ICA) by Pouya Aghelpour, Vahid Varshavian

“…The hybrid MLP-ICA shows stronger prediction results than the simple MLP model in all comparisons. …”
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Experimental research of hydrodynamic characteristics during boiling of refrigerants in minichannels using true parameters of phases by A. A. Malyshev, A. V. Zaitsev, K. F. Kuadio, K. V. Kisser

“…The proposed approach is based on the methodology for calculating the true volumetric vapor quality and the prediction of two-phase flow regimes. The paper presents experimental data on true volumetric vapor quality and a modified map of flow regimes…”
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Post‐Fire Sediment Yield From a Western Sierra Nevada Watershed Burned by the 2021 Caldor Fire by Amy E. East, Joshua B. Logan, Peter Dartnell, Helen W. Dow, Donald N. Lindsay, David B. Cavagnaro

“…Hillslope erosion simulated by the Water Erosion Prediction Project (WEPP) model overestimated the measured amount by a factor of 90 in the first year and in the second year by a factor (1.9) that aligned with previously determined model performance in northern California. …”
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A revisit of the semi-geostrophic eddy east of the Sri Lanka dome with anisotropy insight by Zhou Le, M. V. Subrahmanyam, Pemmani Venkata Subba Raju, Gayan Pathirana, Dongxiao Wang, Dongxiao Wang, Wei Song

“…Acknowledging the importance of this phenomenon, this study revisits the SG eddy using satellite altimetry data, reanalysis datasets and in-situ observations from the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) project. Our results show that a cyclonic eddy-like (CE-like) negative Sea Level Anomaly (SLA), generated in the eastern BOB due to regional anomalous wind stress curl, also contributes to the formation of the SG eddy. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Well-researched fields include credit rating, fraud detection, bankruptcy prediction, and volatility forecasting. In these areas, advanced models, including deep learning, have been widely employed to improve accuracy and predictive power. …”
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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches by Mohsin Akram, Muhammad Adnan, Syed Farooq Ali, Jameel Ahmad, Amr Yousef, Tagrid Abdullah N. Alshalali, Zaffar Ahmed Shaikh

“…Abstract Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it challenging to trust predictions, particularly in uncertain cases. …”
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Evaluating Methods for Aflatoxin B1 Monitoring in Selected Food Crops Within Decentralized Agricultural Systems by Haadia Tanveer, Hannah Glesener, Blake Su, Brooke Bolsinger, Rosa Krajmalnik-Brown, Lee E. Voth-Gaeddert

“…For LFA, a smartphone-based algorithm achieved a high presence/absence accuracy rate of 84% but struggled with concentration prediction. The barriers-to-use analysis highlighted the practicality of low-cost tools like moisture readers for field screening but underscored their qualitative limitations. …”
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Identification of GPD1L as a Potential Prognosis Biomarker and Associated with Immune Infiltrates in Lung Adenocarcinoma by Zhengyang Fan, Song Wu, Hongyang Sang, Qianping Li, Shaofei Cheng, Hongling Zhu

“…Based on multivariate analysis, the C-indexes and calibration plots of the nomogram demonstrated an effective prediction performance for LUAD patients. Besides, the expression of GPD1L was positively related to mast cells, eosinophils, Tcm, TFH, iDC, DC, and macrophages, while negatively associated with Th2 cells, NK CD56dim cells, Tgd, Treg, and neutrophils. …”
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Study on the Application of a Photocatalytic Titanium Dioxide Coating on Glass Beads for the Treatment of Perfluorooctane Sulfonic Acid by Dao Duy Nam, Cao Thi Hong Hanh, Nghiem Minh Huyen, Dieu-Anh Van, Ha Vinh Hung, Vu Minh Trang, Vu Quang Minh, Nguyen Bich Ngoc, Vu Thi Thu Ha, Huynh Trung Hai

“…ANOVA and Fisher’s test yielded an F value of 73.88 (p<0.0001) which demonstrated the model’s statistical significance with over 99% confidence regression prediction. The optimized treatment conditions that achieved 100% degradation of PFOS included a pH of 4.55, TiO2 dosage of 0.396 mg/L, and irradiation time of 6.59 hours. …”
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Proteomics and transcriptomics combined reveal specific immunological markers in autoimmune thyroid disease by Xia Chen, Hui Chen

“…Specific biomarkers were identified, and the ELISA method was employed to determine the expression levels of these clinical markers and their correlation with clinical features of the patients, ultimately establishing a predictive model.ResultsTranscriptomic and proteomic analyses were conducted to identify differentially expressed genes and proteins in patients with hyperthyroidism and hypothyroidism compared to healthy controls. …”
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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…This study can be helpful to researchers interested in developing better IoT-based disease detection and prediction systems based on deep learning using hybrid algorithms.…”
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Attribution analysis of water-sediment variation under the influence of climate change and human activities in the Kuye River Basin by Jiankang ZHANG, Jiping WANG, Jiansheng SHI

“…The analysis method of slope change rate of cumulative quantity has good applicability and provides scientific basis for hydrological prediction and management in the Kuye River basin. In the future. …”
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Ultrasound Measured Depth of Pelvic Free Fluid Correlates Well with Blood Loss Volume in Patients with Ectopic Pregnancy by Shuai Tang, Qing Zhou, Yuelun Zhang, Lin Chen, Xuerong Yu, Yanming Zhang, Zhenhong Qi, Yu Xia, Yuguang Huang

“…The depth of pelvic free fluid measured by TVS and TAS can be used to predict blood loss volume in patients having an ectopic pregnancy. …”
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Evaluation of Functional Outcomes and OCT-Biomarkers after Intravitreal Dexamethasone Implant for Postoperative Cystoid Macular Edema in Vitrectomized Eyes by Sigrid Freissinger, Efstathios Vounotrypidis, Armin Wolf, Karsten U. Kortuem, Mehdi Shajari, Filippos Sakkias, Tina Herold, Siegfried G. Priglinger, Wolfgang J. Mayer

“…Naïve status appears not to play any significant role in the prediction of BCVA. This trial is registered with DRKS00018955.…”
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