Infective Complications of Endobronchial Ultrasound-Transbronchial Needle Aspiration (EBUS-TBNA) and Clinical Biomarkers: A Concise Review by Pinelopi Bosgana, Dimitrios Ampazis, Vasileios Vlachakos, Argyrios Tzouvelekis, Fotios Sampsonas

“…In this review we attempt to summarize the risk factors related to these infective complications, along with useful biomarkers that can be used to identify patients that might develop infective complications, to facilitate the prediction or even prompt treatment of these.…”
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The Demise of Poskanzer and Schwab’s Influenza Theory on the Pathogenesis of Parkinson’s Disease by Danny Estupinan, Sunina Nathoo, Michael S. Okun

“…Schwab presented a paper, “Studies in the epidemiology of Parkinson’s disease predicting its disappearance as a major clinical entity by 1980.” …”
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Reliability-Based Analysis of Recycled Aggregate Concrete under Carbonation by Flora Faleschini, Mariano Angelo Zanini, Lorenzo Hofer

“…Many studies have already focused on carbonation-induced corrosion of natural aggregate concrete (NAC) structures, leading to several prediction models to estimate carbonation depth. Less research is devoted instead on recycled aggregate concrete (RAC), about which limited experimental works exist aimed at assessing the carbonation coefficient in accelerated tests. …”
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Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification by Oscar Castillo, Juan R. Castro, Patricia Melin, Antonio Rodriguez-Diaz

“…Simulation results of nonlinear function identification using the IT2FNN for one and three variables and for the Mackey-Glass chaotic time series prediction are presented to illustrate the concept of universal approximation.…”
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STUDY ON NONLINEAR VIBRATION CHARACTERISTICS FOR THE ROTOR-ROLLING BEARING SYSTEM WITH CURVIC COUPLINGS (MT) by WANG LongKai, MA PengWei, WANG AiLun, ZHANG HaiBiao, YIN YiJun

“…The research can provide analysis methods and design ideas for the prediction of nonlinear vibration characteristics and the operating speed design for rotor system with curvic coupling structure.…”
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A Quasi-Two-Dimensional Physics-Based Model of HEMTs without Smoothing Functions for Joining Linear and Saturation Regions of I-V Characteristics by Eugeny A. Ryndin, Amgad A. Al-Saman, Boris G. Konoplev

“…The model provides precise simulating of HEMT transistors and can be utilized as a tool for analysis and prediction of influence of the material parameters on device and circuit characteristics.…”
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Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis by Tong Chen, Xinyu Chen, Daoli Lu, Bin Chen

“…Partial least square analysis (PLS) was used to build prediction models for adulterant oil level in canola oil. …”
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Maximum Power Point Tracking of PV Grids Using Deep Learning by K. Rafeeq Ahmed, Farrukh Sayeed, K. Logavani, T. J. Catherine, Shimpy Ralhan, Mahesh Singh, R. Thandaiah Prabu, B. Bala Subramanian, Adane Kassa

“…BPNN-DL enables the prediction of reference voltage at different weather conditions for severing the various output power that ensures maximum power with stable output voltage. …”
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Relationship between Monthly Rainfall in NW Peru and Tropical Sea Surface Temperature by Juan Bazo, María de las Nieves Lorenzo, Rosmeri Porfirio da Rocha

“…The results show that linear regression model is not enough to provide satisfactory results; however, a nonlinear regression model improves considerably the prediction of rainfall anomalies in NW Peru.…”
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Data Preprocessing Method and Fault Diagnosis Based on Evaluation Function of Information Contribution Degree by Siyu Ji, Chenglin Wen

“…However, the system modal update occurs from time to time. Prediction using the original model parameters will cause the output of the model to deviate greatly from the true value. …”
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Advanced flow cell design for in vitro release testing of mucoadhesive buccal films by Grilc Blaž, Zdovc Jurij, Planinšek Odon

“…It could be used as a tool for in vivo prediction of drug release rates from buccal film formulations. …”
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Implementation of multilinear look-up tables as surrogate models for the ethyl transesterification reactor in equation-oriented simulator EMSO by Christian de Oliveira Martins, Felipe Fernando Furlan, Roberto de Campos Giordano

“…To circumvent this problem, a hybrid surrogate model is proposed that combines the low-cost prediction of the average behavior by a simplified model with the fine tuning provided by a multilinear look-up table. …”
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Sublinear Expectation Nonlinear Regression for the Financial Risk Measurement and Management by Yunquan Song, Lu Lin

“…Several parameter estimations and model predictions are suggested, and the asymptotic normality of the estimation and the mini-max property of the prediction are obtained. …”
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Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting by Qingchun Zheng, Naixin Wang, Peihao Zhu, Jingna Liu, Wenpeng Ma

“…The fatigue life prediction model of self-piecing riveting components of aluminum alloy is established and the effects of roughness and residual stress on fatigue life are analyzed by the model. …”
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Short-Term Forecasting of Global Energy and Metal Prices: VAR and VECM Approaches by Diana Balioz

“…Various versions of vector autoregression and error-correction models are applied to monthly data for the short-term prediction of nominal commodity prices six months ahead, and to examine forecast accuracy. …”
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MAGInet based on deep learning for magnetic multi-parameter inversion by Wudi Wen, Yi Li, Zhongle Liu

“…The results of these experiments demonstrate that the accuracy of multi-parameter prediction for complex structures can reach up to 97.5% under zero-error conditions. …”
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Towards an update of the ILD ZHH analysis by Bliewert Bryan, Vernieri Caterina, Ntounis Dimitris, List Jenny, Torndal Julie Munch, Tian Junping

“…Therefore it adds unique information to the picture, in particular should the value of the Higgs self-coupling differ from its Standard Model prediction. The last full evaluation of the potential of the ILC to measure this process is more than ten years old, and since then many of the reconstruction tools have received very significant improvements. …”
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Cerberus: cross-site social bot detection system based on deep learning by TANG Jiawei, LIU Yushan, GAO Min, GONG Qingyuan, WANG Xin, CHEN Yang

“…Cerberus used personal information and historical activity on the Medium website of users to make prediction about whether a user's account on Twitter was a social bot. …”
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Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…The results show that this method effectively overcomes the problems of false alarms and missed alarms based on fixed threshold alarm methods, and achieves 100% classification of two types of faults: non starting of the drive machine and low oil pressure by constructing a PCA (Principal Component Analysis)-SPE (Square Prediction Error)-CNN (Convolutional Neural Network) classifier. …”
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Comparison of algorithms using deep reinforcement learning for optimization of hyperbolic metamaterials by Kenta Hamada, Hui-Hsin Hsiao, Wakana Kubo

“…By analyzing the absorption spectra obtained from the three algorithms with limited number of datasets, we assessed the prediction accuracy of each algorithm. Our findings indicate that relying on a single algorithm for optimization, particularly with a small number of datasets, can lead to misestimations in structural optimization. …”
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