Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties by Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny

“…The aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classification and Regression Trees (C&RT), and Artificial Neural Network (ANN) for the prediction of the botanical origin of honeys using their physicochemical parameters as well as their antioxidative and thermal properties. …”
Get full text

The predictive value of endocan as a novel biomarker: an umbrella study on meta-analyses by Sandeep Samethadka Nayak, Daniyal Ameen, Sara Nobakht, Ranjan Nayak, Shrinidhi Vilas Prabhu, Mohammad-Hossein Keivanlou, Soheil Hassanipour, Ehsan Amini-Salehi, Nisarg Thakker

Subjects: Get full text

Deep learning and pathomics analyses predict prognosis of high-grade gliomas by Yuchen Zhu, Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Xingjian Sun, Gefei Jiang, Gefei Jiang, Lei Qiu, Lei Qiu, Kexin Shi, Kexin Shi, Mengxing Wu, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou

Get full text

Trip Generation Models for Transportation Impact Analyses of Shopping Centers in Croatia by Deana Breški, Biljana Maljković, Mihaela Senjak

Subjects: Get full text

Prediction of risk factors in hemodialysis patients with pulmonary hypertension: combined application of factorial and cluster analyses by Liu Xin-wu, Zeng Huan, Liao Bing-qing, Zhao Cheng-bo, Wang Run-xiu

Get full text

Qualitative and Quantitative Computed Tomography Analyses of Lung Adenocarcinoma for Predicting Spread Through Air Spaces by Fumi Kameda, Yoshie Kunihiro, Masahiro Tanabe, Masatoshi Nakashima, Taiga Kobayashi, Toshiki Tanaka, Yoshinobu Hoshii, Katsuyoshi Ito

Get full text

Analysis of the half-life ‘ageing-constant’ theory for galvanic anodes: Analysing the model’s predictive power for CPT anodes by Stone Christian, Carr Warren, Roberts Adrian

Get full text

The development trend of China’s marine economy: a predictive analysis based on industry level by Yu Chen, Huahan Zhang, Lingling Pei

Subjects: Get full text

Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods by Reihanesadat Khatami, Mohammadsadegh Faghihi, Hannanesadat Khatami, Mahmoud Yousefifard, Seyedhesamoddin Khatami

Subjects: Get full text

The Impact of Radiosounding Observations on Numerical Weather Prediction Analyses in the Arctic by T. Naakka, T. Nygård, M. Tjernström, T. Vihma, R. Pirazzini, I. M. Brooks

“…Abstract The radiosounding network in the Arctic, despite being sparse, is a crucial part of the atmospheric observing system for weather prediction and reanalysis. The spatial coverage of the network was evaluated using a numerical weather prediction model, comparing radiosonde observations from Arctic land stations and expeditions in the central Arctic Ocean with operational analyses and background fields (12‐hr forecasts) from European Centre for Medium‐Range Weather Forecasts for January 2016 to September 2018. …”
Get full text

Predictive Model to Analyse Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques by SHABNAM ARA S.J, Tanuja R, Manjula S.H

Get full text

Container Truck High-Risk Events Prediction and Its Influencing Factors Analyses Based on Trajectory Data by Zhihao Zhu, Yuan Meng, Rongjun Cheng

Get full text

Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses by Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Ratan Lal, Md. Selim Reza, Fahad Alsharari, Mohamed AbdelMongy, Masuk Abdullah

“…The primary goal is to predict the compressive strength of waste-incorporated concrete by evaluating the effects of materials such as cement, fly ash (FA), silica fume (SF), ground granulated blast furnace slag (GGBFS), metakaolin (MK), water usage, aggregate levels, and superplasticizer dosages. …”
Get full text

Integrated analyses and a novel nomogram for the prediction of significant fibrosis in patients by Mengxin Lu, Shuai Tao, Xinyan Li, Qunling Yang, Cong Du, Weijia Lin, Shuangshuang Sun, Conglin Zhao, Neng Wang, Qiankun Hu, Yuxian Huang, Qiang Li, Yi Zhang, Liang Chen

“…Multivariate logistic regression analysis showed that LTBP2, PLT and AST levels were demonstrated as the independent prediction factors. …”
Get full text

MEDIA SENTIMENT AND STOCK PRICES: ANALYSING TEMPORAL DYNAMICS AND PREDICTIVE RELATIONSHIPS IN TESLA AND META by Laura Čigileičikaitė, Gabrielė Gailiūtė, Jekaterina Kartašova

“…Headlines and adjusted stock prices were processed into monthly averages to reduce noise, enabling statistical analysis through cross-correlation and Granger causality tests. …”
Get full text

Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model by I. Salas-García, F. Fanjul-Vélez, J. L. Arce-Diego

Get full text

Mendelian randomization of plasma proteomics identifies novel ALS-associated proteins and their GO enrichment and KEGG pathway analyses by Chuan Lu, Xiao-xiao Huang, Ming Huang, Chaoning Liu, Jianwen Xu

Subjects: Get full text

Analyses of factors affecting and predicting the efficacy of tacrolimus in patients with idiopathic membranous nephropathy by Zhang Cheng-ning, Duan Su-yan, Yuan Yang-gang, Zhu Jing-feng, Huang Zhi-min, Sun Bin, Zhang Bo, Mao Hui-juan, Xing Chang-ying

“…Multivariate COX regression analysis indicated that eGFR and serum albumin were independent factors for predicting the efficacy of tacrolimus in IMN patients.ConclusionMale， baseline creatinine， eGFR and TA are four key influencing factors of efficacy. …”
Get full text

Predicting intra-abdominal hypertension using anthropometric measurements and machine learning by Salar Tayebi, Rob Wise, Niels Van Regenmortel, Hilde Dits, Karen Schoonheydt, Inneke De laet, Luca Malbrain, Johan Stiens, Wojciech Dabrowski, Manu L. N. G. Malbrain

Subjects: Get full text

Central Sensitivity Is Associated with Poor Recovery of Pain: Prediction, Cluster, and Decision Tree Analyses by Hayato Shigetoh, Masayuki Koga, Yoichi Tanaka, Shu Morioka

“…We performed cluster and decision tree analyses to reveal the characteristics in cases that do not fit the prediction of pain recovery. …”
Get full text