Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments by Lotfi Salhi, Adnane Cherif

“…Then, the absolute value of the Teager energy operator of the short-time spectrum is calculated. …”
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Estimating progression of Alzheimer’s disease with extracellular vesicle-related multi-omics risk models by Xiao Zhang, Xiao Zhang, Sanoji Wijenayake, Shakhawat Hossain, Qian Liu, Qian Liu

“…These genes were selected using Cox regression, aided by the Least Absolute Shrinkage and Selection Operator (LASSO), and were used to construct three risk models at different omics levels. …”
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Multiclass semantic segmentation for digitisation of movable heritage using deep learning techniques by Giacomo Patrucco, Francesco Setragno

“…In addition, the accuracy of the results is evaluated and discussed. Finally, the researchers proposed the possibility of performing a multiclass segmentation on the digital images to recognise different object categories in the images, as well as to define a semantic hierarchy to perform automatic classification of different elements in the acquired images. …”
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Energy and Reserve Scheduling of Distribution Network in Presence of Electric Vehicle Aggregators: A Decentralized Approach by Atena Tazikeh Lemeski, Reza Ebrahimi, Alireza Zakariazadeh, Keyvan Firuzi

“…The proposed distributed algorithm is tested and evaluated on a standard distribution network consisting of AGG and DGs. …”
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Diagnosis of array antennas based on near-field data using Faster R-CNN by Boguang Yang, Yulun Wei, Jixiang Shi, Tao Hong, Liangyu Li, Kai-Da Xu

“…The near-field pattern images of an array are collected, divided into training and test datasets, and then fed into the Faster R-CNN to learn the inverse operator of the EFIE formula. Four different excitation states are trained using the same neural network to compare the effects of excitation faults on feature extraction and classification accuracy. …”
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Roller Bearing Fault Diagnosis Based on Adaptive Sparsest Narrow-Band Decomposition and MMC-FCH by Yanfeng Peng, Junhang Chen, Yanfei Liu, Junsheng Cheng, Yu Yang, He Kuanfang, Guangbin Wang, Yi Liu

“…Then, appropriate features of the decomposed results are chosen by applying distance evaluation technique (DET). Afterward, different faults are recognized by utilizing maximum margin classification based on flexible convex hulls (MMC-FCH). …”
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Predictive modeling of ICU-AW inflammatory factors based on machine learning by Yuanyaun Guo, Wenpeng Shan, Jie Xiang

“…Three machine learning methods, logistic regression (LR), random forest (RF), and extreme gradient boosting (XGB), were used in the 70% participant training set to construct six different models, which were validated and evaluated in the remaining 30% of the participants as the test set. …”
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A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI by Rashiduzzaman Shakil, Sadia Islam, Bonna Akter

“…The applied machine learning model outcome is evaluated by performance evaluation matrices, namely accuracy, sensitivity, specificity, precision, f1-score, false-positive rate and false-negative rate, and area under the Receiver operating characteristic curve score. …”
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MULTIDISCIPLINARY APPROACH TO THE CORRECTION OF ACCOMMODATION REFRACTION DISORDERS IN VISUALLY INTENSIVE LABOR PERSONS by I. G. Ovechkin, V. E. Yudin, G. A. Emel’yanov, A. V. Mironov

“…Increased load on the visual analyzer of an operator, increase in everyday visual performance, universal introduction of information displaying on cathode-ray tubes result in temporary and stable visual disturbances. …”
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Automatic microtube capper/decapper system for clinical examinations and biological experiments by Makoto Jinno, Ryosuke Nonoyama

“…Although its operation time was longer than that of a human operator, it will help reduce the burden on operators, decrease infection risks, and improve the reliability of the results of clinical examinations and biological experiments. …”
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The Italian Version of the Five-Word Test: A Simple Diagnostic Test for Dementia due to Alzheimer’s Disease in Routine Clinical Practice by Luca Rozzini, Anna Ceraso, Marina Zanetti, Silvia Pelizzari, Evita Tomasoni, Vivian Accardo, Alessandro Padovani

“…Methods. 217 subjects (127 controls, 47 MCI due to AD, and 43 AD) underwent neuropsychological evaluation. The Spearman rank coefficient (ρ) was used to assess the correlation between immediate (IRS), delayed (DRS), and total score (TRS) of the FWT and correspondent matches of a specific short story test, while receiving operator characteristic (ROC) curves were built to investigate the diagnostic accuracy of both. …”
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Effect of Occupational Exposure to Low-frequency Electromagnetic Fields on Cataract Development by Mohammad Hosein Validad, Monireh Mahjoob, Masoud Pishjo, Mostafa Diani, Tahereh Rakhshandadi

“…They were assigned to four groups based on their level of exposure: regular, operational, operator personnel, and non-exposure. Based on LOCS III grading, the risk of developing different types of cataracts (i.e., nuclear, posterior subcapsular, and cortical) was evaluated for all participants. …”
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Establishing CD19 B-cell reference control materials for comparable and quantitative cytometric expression analysis. by Lili Wang, Rukmini Bhardwaj, Howard Mostowski, Paul N Patrone, Anthony J Kearsley, Jessica Watson, Liang Lim, Jothir Pichaandi, Olga Ornatsky, Daniel Majonis, Steven R Bauer, Heba A Degheidy

“…Three commercially available human peripheral blood mononuclear cells (PBMCs) obtained from three different manufacturers were tested. Variables that could potentially contribute to the differences in the CD19 expression, such as PBMCs manufacturing process, number of healthy donors used in manufacturing each PBMC lot, antibody reagent, operators, and experimental days were included in our evaluation. …”
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Kannan Prequasi Contraction Maps on Nakano Sequence Spaces by Awad A. Bakery, O. M. Kalthum S. K. Mohamed

“…The Fatou property of different prequasi norms on this (sss) has been investigated. …”
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Myelin-associated proteins are potential diagnostic markers in patients with primary brain tumour by Olga M. Koper-Lenkiewicz, Anna J. Milewska, Joanna Kamińska, Karol Sawicki, Robert Chrzanowski, Justyna Zińczuk, Joanna Reszeć, Marzena Tylicka, Ewa Matuszczak, Joanna Matowicka-Karna, Zenon Mariak, Mariusz W. Mucha, Robert Pawlak, Violetta Dymicka-Piekarska

“…Neither Nogo-A nor MAG or OMgp concentrations were significantly different, in serum or CSF, between IDH1 wild-type astrocytic brain tumour patients compared to IDH1 mutant patients.Conclusions Our results indicated the potential usefulness of CSF Nogo-A and serum MAG evaluation as circulating biomarkers of primary brain tumours. …”
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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…Based on both objective evaluation and qualitative image analysis, the experimental results  demonstrated that the suggested strategy performed better than other widely used techniques. …”
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Novel insights of disulfidptosis-mediated immune microenvironment regulation in atherosclerosis based on bioinformatics analyses by Huanyi Zhao, Zheng Jin, Junlong Li, Junfeng Fang, Wei Wu, J. F. Fang

“…Bioinformatics techniques were used to evaluate differentially expressed genes (DEGs) associated with disulfidptosis-related AS. …”
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A comparative analysis of biometric parameters of optic nerves obtained by ultrasonic sensors of varied frequencies by V. V. Neroev, T. N. Kiseleva, M. S. Zaytsev, A. V. Baeva, E. K. Eliseeva, A. I. Ushakov

“…Six consequent measurements of the ONSD and the OND parameters were performed to ascertain the reproducibility of the examinations and evaluate the variation coefficient.Results. The analysis revealed no statistically significant differences in the ONSD and in the OND obtained with 11–18 MHz, 10 MHz and 20 MHz transducers in the B-mode (р > 0.05). …”
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Screening for Mild Cognitive Impairment in Parkinson’s Disease: Comparison of the Italian Versions of Three Neuropsychological Tests by Angela Federico, Alice Maier, Greta Vianello, Daniela Mapelli, Michela Trentin, Giampietro Zanette, Alessandro Picelli, Marialuisa Gandolfi, Stefano Tamburin

“…Disease duration was significantly longer and PD motor scales were more severely impaired in MCI group. The receiver-operator characteristics curve documented nonsignificant difference in the performance of the three tests, with slight advantage of MMSE (corrected data). …”
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Shear Wave Elastography for Parotid Glands: Quantitative Analysis of Shear Elastic Modulus in Relation to Age, Gender, and Internal Architecture in Patients with Oral Cancer by Yuka Tanabe, Ai Shirai, Ichiro Ogura

“…SWE is useful for the quantitative evaluation of the parotid glands.…”
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