A PLS-SEM Based Approach: Analyzing Generation Z Purchase Intention Through Facebook’s Big Data by Vikas Kumar, Preeti, Shaiku Shahida Saheb, Sunil Kumari, Kanishka Pathak, Jai Kishan Chandel, Neeraj Varshney, Ankit Kumar

“…The study found the proposed conceptual model had a high prediction power of Generation Z intentions to purchase retail products through Facebook verifying the materialization of F-commerce. …”
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A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks by Esraa M. Shalby, Almoataz Y. Abdelaziz, Eman S. Ahmed, Basem Abd-Elhamed Rashad

“…Using MATLAB classifier learner, the article evaluates seven common mother wavelets with 53 wavelet functions, and sym3 is found to be the most efficient wavelet function in terms of training time, prediction speed, and accuracy of SVM classifiers. All fault types both symmetrical/unsymmetrical types, and various normal transient conditions such as load/capacitor/DG switching are detected/discriminated with nearly 100% accuracy at the midpoint of line 6–7 with various fault conditions, inception angles (0, 30, 45, 60, 90 and 120°) and a fault resistance of (5,10, 15, and 20 ohms). …”
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Reactive Lesions of the Oral Mucosa: A Retrospective Analysis of 69 Cases by Vaddadi Sindhuja, Vipparthi Sharon Raj, Divya Uppala

“…Results: In our study, we found that (54%) were females, with a slight female prediction. The 1st most common reactive lesion observed in our study was fibroepithelial polyp (29.85%). …”
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The Use of Corticosteroid Randomisation after Significant Head Injury (CRASH) Prognostic Model as Mortality Predictor of Traumatic Brain Injury Patients Underwent Surgery in Low-Mi... by Radian A. Halimi, Iwan Fuadi, Dionisius Alby

“…The AUC analysis revealed an excellent mortality prediction (AUC 0.838; CI 95%). Conclusion. The CRASH prognostic model performs well in predicting the 14-day mortality of TBI patients who underwent surgery in low-middle income countries.…”
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Tumor budding is a prognostic marker for overall survival and not for lymph node metastasis in Oral Squamous Cell Carcinoma – Systematic Review Update and Meta-Analysis by Gouri S. Panchannavar, Punnya V. Angadi

“…It has been co-related to aggressiveness of the tumor and can also predict the metastasis to the lymph nodes. This systematic review evaluates the prognostic potential of TB in predicting lymph node metastasis (LNM) in OSCC. …”
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Quantitative study on the environmental impact of Beijing’s urban rail transit based on carbon emission reduction by Cai Jia, Xudong Wang, Chengyang Qian, Zini Cao, Long Zhao, Luzhou Lin

“…A traffic congestion prediction model is developed based on the analysis of actual traffic operation data under this assumption. …”
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Latencies of conditioned vocal responses to hearing test tones in killer whales (Orcinus orca) by Jared Stephens, Alyssa W. Accomando, Alyssa W. Accomando, Kayla Nease, Kayla Nease, Brian K. Branstetter, Brian K. Branstetter, Todd R. Robeck

“…Understanding the effect of sound frequency and level on perceived loudness would improve prediction and modeling of anthropogenic noise impacts on marine mammals.MethodsIn this study, behavioral hearing tests conducted with two killer whales were analyzed to capture conditioned vocal response latency, which is the time between the onset of the acoustic signal and the onset of the response (i.e., reaction time).ResultsThe results showed that vocal reaction times decreased with increasing sensation level (i.e., sound pressure level above the baseline hearing threshold), while the effect of frequency on reaction time varied between the subjects. …”
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New trends in basic oxygen furnace dephosphorization by Keskinkilic E.

“…Endpoint phosphorus prediction was one of the important recent trends of converter steelmaking. …”
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Optimisation of sparse deep autoencoders for dynamic network embedding by Huimei Tang, Yutao Zhang, Lijia Ma, Qiuzhen Lin, Liping Huang, Jianqiang Li, Maoguo Gong

“…The results also show that SPDNE achieves the highest accuracy on 72 out of 96 edge prediction and network reconstruction tasks compared with the state‐of‐the‐art dynamical NE algorithms.…”
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Prognostic value of the lactate dehydrogenase to albumin ratio in advanced non-small cell lung cancer patients treated with the first-line PD-1 checkpoint inhibitors combined with... by Meifeng Luo, Huiting Wei, Moqin Qiu, Cuiyun Su, Ruiling Ning, Shaozhang Zhou

“…The receiver operating characteristic (ROC) analysis determined the optimal LAR cutoff values for prediction. Univariate and multivariate analyses identified independent prognostic factors, and survival curves were estimated using the Kaplan-Meier method. …”
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Effect of Stress and Moisture Content on Permeability of Gas-Saturated Raw Coal by Junhui Wang, Zhijun Wan, Yi Wang, Zhixiang Liu, Sifei Liu, Hongwei Zhang, Qiuyan Pei

“…These results would be beneficial for permeability prediction and surface well parameters design.…”
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MLPR: YOLOv3 for Real-Time License Plate Recognition in Moroccan Video Streams by Hatim Derrouz, Hamza Alami, Reda Rabie

“…The latter is a post-processing step that selects the most consistent content as the final prediction. Furthermore, we collected and annotated a set of videos that contain vehicles with Moroccan license plates in various conditions. …”
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Nf-Root: A Best-Practice Pipeline for Deep-Learning-Based Analysis of Apoplastic pH in Microscopy Images of Developmental Zones in Plant Root Tissue by Julian Wanner, Luis Kuhn Cuellar, Luiselotte Rausch, Kenneth W. Berendzen, Friederike Wanke, Gisela Gabernet, Klaus Harter, Sven Nahnsen

“…In short, a deep-learning module deploys deterministically trained convolutional neural network models and augments the segmentation predictions with measures of prediction uncertainty and model interpretability, while aiming to facilitate result interpretation and verification by experienced plant biologists. …”
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Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods by Chenyu Tian, Yifei Lu, Hengduo Xie, Yufan Yu, Liming Lu

“…The main research conclusions are as follows: (1) With the increase in the rate of application of nitrogen fertilizer, the nicotine content of cigar leaves increased; (2) Processing data by the CARS, SPA, and UVE methods reduces the degree of data redundancy and information co-linearity in the screening of the content of nicotine sensitive bands; (3) The MSC-SNV-SG-CARS-BP model has the best predictive accuracy on the nicotine content. The prediction accuracy of the testing set was R 2  = 0.797, RMSE = 0.078,RPD = 2.182.…”
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Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis by Lizhi Geng

“…In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos. …”
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SECTM1 acts as an immune-related biomarker of poor prognosis and promotes cancer progression by modulating M2 macrophage polarization in esophageal squamous cell carcinoma by Pengzhou Kong, Pengzhou Kong, Pengzhou Kong, Ye Jiao, Ye Jiao, Meng Sun, Meng Sun, Zhinan Zhou, Zhinan Zhou, Yingying Zhang, Yingying Zhang, Xin Yang, Xin Yang, Jing Ren, Jing Ren, Mengyuan Yang, Mengyuan Yang, Yanyan Dong, Yanyan Dong, Yanyan Dong, Bin Song

“…In a Conclusion, our study established a prognostic prediction model based on immune-related gene signature, which provided a reliable prognostic tool for ESCC and identified SECTM1 as a potential biomarker in ESCC.…”
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The combined effects of goal attributes, motivational beliefs, creativity and grit on self-regulation in online ill-structured problem solving: a fsQCA approach by Huanhuan Wang, Shaofeng Wang, Ahmed Tlili, Mengti Li, Dong Yang, Michael Agyemang Adarkwah, Xixian Zhu, Ling Zhu, Ronghuai Huang, Hongyan Kuai

“…The results uniquely revealed the predictive factors of SRL at both high and low levels. …”
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A Study on the Holding Capacity Safety Factors for Torpedo Anchors by Luís V. S. Sagrilo, José Renato M. de Sousa, Edison C. P. Lima, Elisabeth C. Porto, Jane V. V. Fernandes

“…The use of powerful numerical tools based on the finite-element method has been improving the prediction of the holding capacity of fixed anchors employed by the offshore oil industry. …”
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification by Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil

“…The model integrates three components: (i) a Classification Stream, utilizing a CNN to categorize images into 16 lesion types (baseline model), (ii) a Guidance Stream, which aligns class activation maps with clinically relevant areas using ground truth segmentation masks (GAIN model), and (iii) an Anatomical Site Prediction Stream, improving interpretability by predicting lesion location (GAIN+ASP model). …”
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UPLC-MS metabolite profiling and antioxidant activity of Sanghuangporus sanghuang extract by Weike Wang, Na Lu, Cheng Jiang, Guanping Chen

“…Most of the top 20 compounds were predicted to have various functions like antioxidant, anti-cancer and anti-inflammatory. …”
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