APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System by Safdar Hussain Javed, Maaz Bin Ahmad, Muhammad Asif, Waseem Akram, Khalid Mahmood, Ashok Kumar Das, Sachin Shetty

“…Two datasets, the DAPT2020 malware, and Edge I-IoT datasets are used to evaluate the approach, and it attains the highest detection accuracy of 96.97% and 95.97%, with prediction time of 20.56 seconds and 21.65 seconds, respectively. …”
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Reconstruction of Dynamical Forecasting Model between Western Pacific Subtropical High Area Index and Its Summer Monsoon Impact Factors Based on the Improved Self-Memorization Prin... by Mei Hong, Ren Zhang, Xi Chen, Shanshan Ge, Chengzu Bai, Vijay P. Singh

“…To overcome the problem of single initial prediction value, the largest Lyapunov exponent is introduced to improve the traditional self-memorization function, making it more appropriate to describe the chaotic systems, such as WPSH; the equation reconstruction by actual data is used as its dynamical core to overcome the problem of relatively simple dynamical core. …”
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Prospective analysis of CKM element |Vcd| and D+-meson decay constant from leptonic decays D+ → ℓ+ν by Ya-Xiong Wang, Hai-Jiang Tian, Yin-Long Yang, Tao Zhong, Hai-Bing Fu

“…Furthermore, we present our prediction for the CKM matrix element |Vcd| using the branching fraction B(D+→μ+νμ) obtained from BESIII Collaboration, yielding |Vcd|=0.227−0.001+0.002.…”
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A China dataset of soil properties for land surface modelling (version 2, CSDLv2) by G. Shi, W. Sun, W. Shangguan, Z. Wei, H. Yuan, L. Li, X. Sun, Y. Zhang, H. Liang, D. Li, F. Huang, Q. Li, Q. Li, Y. Dai

“…The wide range between the 5 % lower and 95 % upper prediction limits may indicate substantial room for improvement in current predictions. …”
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Seismic microzonation studies in the Southern part of Progo River, special Region of Yogyakarta, Indonesia by Ghina Bani Azifah, Teuku Faisal Fathani, Hendy Setiawan

“…The analysis was carried out using four methods: Kanai (In: Proceeding of Japan Earthquake Engineering Symposium 1–4, 1966) equation using microtremor data, deterministic equations with Ground Motion Prediction Equations Next Generations Attenuation West 2 (GMPE NGA West 2), Kanno et al (Bull Seismol Soc Am 96:879–897, 2006) attenuation equation, and probabilistic method referring to the Indonesian Seismic code. …”
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Laboratory Risk Indicator for Necrotizing Fasciitis of the Oro-Cervical Region (LRINEC-OC): A Possible Diagnostic Tool for Emergencies of the Oro-Cervical Region by Masaru Ogawa, Satoshi Yokoo, Yu Takayama, Jun Kurihara, Takaya Makiguchi, Takahiro Shimizu

“…The LRINEC-OC score for the prediction of OCNF was designed using the regression coefficients in logistic analysis. …”
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A novel approach for target deconvolution from phenotype-based screening using knowledge graph by Xiaohong Wang, Meifang Zhang, Jianliang Xu, Xin Li, Jing Xiong, Haowei Cao, Fangkun Dou, Xue Zhai, Hua Sun

“…Knowledge graphs have emerged as powerful tools that offer strengths in link prediction and knowledge inference to address these issues. …”
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Chromosomal analysis and short-term outcome of prenatally diagnosed congenital heart disease by Marcellino Verbeke, Laurens Hannes, Koen Devriendt, Kris Van den Bogaert, Bjorn Cools, Luc De Catte, Marc Gewillig, Jeroen Breckpot

“…This retrospective chart review was aimed at finding markers for short-term outcome prediction of prenatally-diagnosed complex CHD, focusing in particular on the impact of CHD category, of CHD severity score and of prenatal or postnatal diagnosis of ECA or chromosomal anomalies on 4 primary outcomes: termination of pregnancy (TOP), intrauterine fetal demise, neonatal mortality and 1-year-survival rate. …”
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Noninvasive Predictors of High-Risk Varices in Patients with Non-Cirrhotic Portal Hypertension by Morven E. Cunningham, Gilda Parastandeh-Chehr, Orlando Cerocchi, David K. Wong, Keyur Patel

“…Spleen size >17.2cm had sensitivity 78.6% and specificity 64.3% for prediction of HRV. Conclusions. In NCPH patients, spleen size may predict risk of HRV at gastroscopy within 12 months. …”
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Artificial neural network with incompressible smoothed particle hydrodynamics for exothermic chemical reaction on heat and mass transfer in a rectangular annulus by Alaa Allakany, Noura Alsedias, Abdelraheem M. Aly

“…The artificial neural network (ANN) is combined with the ISPH results to predict the average Nusselt number $$\overline{Nu }$$ Nu ¯ and Sherwood number $$\overline{Sh }$$ Sh ¯ . …”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…Considering classification efficiency, the proposed classification modules achieve an accuracy of 88.55% for hair color and style classification and a remarkable prediction outcome of 100% for face recognition and age estimation. …”
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Prospective evaluation of the diagnostic accuracy of FDG-PET/CT for the detection of sternal wound infection post-sternotomy by Angela Cai, Mehrshad Bakhshi, Yoan Lamarche, Francois Harel, Matthieu Pelletier-Galarneau

“…Positive and negative predictive values were 42% and 84%, respectively. The NPV was higher in the remote surgery group (100%) compared to the recent surgery group (73%). …”
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Impact of rare non-coding variants on human diseases through alternative polyadenylation outliers by Xudong Zou, Zhaozhao Zhao, Yu Chen, Kewei Xiong, Zeyang Wang, Shuxin Chen, Hui Chen, Gong-Hong Wei, Shuhua Xu, Wei Li, Ting Ni, Lei Li

“…Furthermore, we developed a Bayesian-based APA RV prediction model, which successfully pinpointed a specific set of 1799 RVs impacting 278 genes with significantly large disease effect sizes. …”
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Non-Destructive Detection of Silage pH Based on Colorimetric Sensor Array Using Extended Color Components and Novel Sensitive Dye Screening Method by Kai Zhao, Haiqing Tian, Jue Zhang, Yang Yu, Lina Guo, Jianying Sun, Haijun Li

“…Twenty-eight effective features were preferred, based on which the SVR model had <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>R</mi></mrow><mrow><mi>p</mi></mrow><mrow><mn>2</mn></mrow></msubsup></mrow></semantics></math></inline-formula>, <i>RMSEP</i> and <i>RPD</i> scores of 0.9533, 0.4186, and 4.4186, respectively; the pH prediction performance was substantially improved. This study provides technical support for the scientific evaluation of silage quality.…”
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Pentraxin 3 Is a Predictor for Fibrosis and Arterial Stiffness in Patients with Nonalcoholic Fatty Liver Disease by Kadir Ozturk, Omer Kurt, Tolga Dogan, Alptug Ozen, Hakan Demirci, Fatih Yesildal, Murat Kantarcioglu, Turker Turker, Ahmet Kerem Guler, Yıldırım Karslioglu, Battal Altun, Ahmet Uygun, Sait Bagci

“…The aim of the present study was to investigate whether pentraxin 3 (PTX3) can be a new noninvasive marker for prediction of liver fibrosis in patients with NAFLD. …”
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Developing non-invasive molecular markers for early risk assessment of Alzheimer's disease by Tapas K. Sur, Tanmoy Mondal, Zarish Noreen, Jheannelle Johnson, Gail Nunlee-Bland, Christopher A. Loffredo, Brent E. Korba, Vijay Chandra, Siddhartha S. Jana, Bernard Kwabi-Addo, Sumit Sarkar, Somiranjan Ghosh

“…Emerging literature supports the importance of new molecular biomarkers and signature genes from blood to detect and predict AD in advance. This review examines the potential applications of these blood-based target biomarkers for early disease detection, co-morbid condition risk prediction, and treatment management of AD.…”
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Diagnostic accuracy of drooling, reluctance, oropharynx, others, and leukocytosis score as a predictor of mortality and complications following acute corrosive ingestion by Fawaz Poonthottathil, Soorya Suresh, Jamshed Nayer, Praveen Aggarwal

“…The AUROC of DROOL score in predicting overall complications was 0.932 (95% CI: 0.877–0.987) and the AUROC of DROOL score in predicting mortality was 0.864 (95% CI: 0.758–0.970). …”
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A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH) by Sogol Attaripour Esfahani, Nima Baba Ali, Juan M. Farina, Isabel G. Scalia, Milagros Pereyra, Mohammed Tiseer Abbas, Niloofar Javadi, Nadera N. Bismee, Fatmaelzahraa E. Abdelfattah, Kamal Awad, Omar H. Ibrahim, Hesham Sheashaa, Timothy Barry, Robert L. Scott, Chadi Ayoub, Reza Arsanjani

“…Risk of bias was evaluated using PROBAST (Prediction model Risk of Bias Assessment Tool). <i>Results:</i> This review examines the potential applications of AI in PH, focusing on its role in enhancing diagnosis, disease classification, and prognostication. …”
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Impact of introducing electric vehicles on ground-level O₃ and PM_2.5 in the Greater Tokyo Area: yearly trends and the importance of changes in the urban heat... by H. Hata, N. Mizushima, T. Ihara

“…We used a numerical weather prediction to estimate changes in the UHI effect in the Greater Tokyo Area (GTA) of Japan by introducing BEVs. …”
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Thinking on the Meteorological Services to Ensure the Development of a System for New Energy Sources by Yongchang ZHU, Xiaofeng ZHANG, Zhenghong CHEN, Dong YE, Juan TAN, Yong QIN, Zhaohui LIU, Zhiqi XU

“…The construction of a system for new energy sources puts forward new requirements for meteorological service, such as optimizing the overall layout of meteorological service support for the construction of clean energy bases, strengthening the accuracy of power generation forecast and climate prediction services, and carrying out meteorological service support for various scenarios such as the construction of new energy infrastructure, power generation, storage, transmission and consumption. …”
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