Parameter Sensitivity Analysis of the Hydraulic Fracture Growth Geometry in a Deep Shale Oil Formation: An Experimental Study by Shanzhi Shi, Yushi Zou, Lihua Hao, Beibei Chen, Shicheng Zhang, Xinfang Ma, Shipeng Zhang

“…The research results are designed to provide theoretical guidance for prediction of hydraulic fracturing fracture propagation in shale reservoir and have certain reference significance for field construction.…”
Get full text

miR-7-5p Promotes Hepatic Stellate Cell Activation by Targeting Fibroblast Growth Factor Receptor 4 by Shuxia Tian, Min Chen, Bing Wang, Yonglong Han, Haonan Shang, Junming Chen

“…A dual-luciferase assay was conducted to validate the target prediction. A Cell Counting Lit-8 assay was performed to assess the proliferation ability of LX-2 cells. …”
Get full text

Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂) by Haijing Qin, Yunchen Tian, Jianing Quan, Xueqi Cong, Qingfei Li, Jinzhu Sui

“…In addition, training on this benchmark dataset proposes an improved feeding intensity evaluation network, which achieves a good balance in prediction accuracy and parameter memory and offers the possibility of subsequent deployment of the model on mobile. …”
Get full text

Effects of Baicalin on Gout Based on Network Pharmacology, Molecular Docking, and in vitro Experiments by Liu C, Liu W, Lu H, Fan Y, Wang A

“…Finally, in vitro experiments were conducted to further validate the predictions.Results: A total of 318 potential targets of baicalin and 752 gout-related targets were screened. …”
Get full text

Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications by Mirjam Schöneck, Nicolas Rehbach, Lars Lotter-Becker, Thorsten Persigehl, Simon Lennartz, Liliana Lourenco Caldeira

“…Larger multicentric datasets with balanced tumor stages, including multi-scanner datasets, seem to be necessary for building robust predictive models.…”
Get full text

High fatigue levels among psychiatric outpatients – the validity of the Danish Patient Reported Outcomes Measurement Information System Fatigue Short-Form (PROMISF-SF) by Ragnar Klein Olsen, Sidse M. Arnfred, Christina Madsen, Oliver Rumle Hovmand

“…The optimal cut-off point in the ROC-analyses was 15, which yielded a sensitivity of 89% and a specificity of 67% in the prediction of patient status. Conclusions Level of fatigue among psychiatric outpatients is high in patients with psychiatric illness, compared to levels measured in healthy volunteers. …”
Get full text

Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation by Mayr W, Triantafyllopoulos A, Batliner A, Schuller BW, Berghaus TM

“…We extracted a set of spectral, prosodic, and temporal variability features, which were used as input to a support vector machine (SVM). Our baseline for predicting patient state was an SVM model using self-reported BORG and COPD Assessment Test (CAT) scores.Results: In 50 COPD patients (52% males, 22% GOLD II, 44% GOLD III, 32% GOLD IV, all patients group E), speech analysis was superior in distinguishing during and after exacerbation status compared to BORG and CAT scores alone by achieving 84% accuracy in prediction. …”
Get full text

Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves by Wenqian Yin, Kun Zhuang, Pei Kong, Pengcheng Fan, Jilei Ye, Yuping Wu, Xun Dou

“…First, we comprehensively model how HWs impact the operating characteristics of multiple grid components, including renewable generation, load, and dynamic thermal rating of transmission lines. Both exogenous prediction information and decision-dependent uncertainties (DDU) in demand response (DR) are properly modeled and taken into account. …”
Get full text

Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…Mean absolute error (MAE, mean absolute percentage error (MAPE), and R² were used to evaluate predictions in the test set and in an external dataset of 3800 acquisitions. …”
Get full text

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.…”
Get full text

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.…”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text