Consequences and Mechanisms of Noise‐Induced Cochlear Synaptopathy and Hidden Hearing Loss, With Focuses on Signal Perception in Noise and Temporal Processing by Hui Wang, Steven J Aiken, Jian Wang

“…The review also addresses the difficulty of translating animal data to humans and the need for new research in the future.…”
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Heuristic modeling of the process of milling aviation parts with opposed end mills by synthesis of a predictive model by E. A. Shestakova, V. O. Ievlev, R. M. Yanbaev

“…A comparative analysis of practical indicators and simulated data of the milling process was carried out. The resulting model allows predicting the results of machining by the proposed method with an error of 10…15%.…”
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Central (Hemodynamic) and Peripheral (Autonomic) Synergy During Persuasion Within a Shared Decision-Making Process by Laura Angioletti, Carlotta Acconito, Federica Saquella, Michela Balconi

“…Data were collected from 14 dyads using functional near-infrared spectroscopy to measure prefrontal cortex (PFC) hemodynamic activity and collection and recording of autonomic indices including heart rate (HR) and HR variability (HRV). …”
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Numerical Investigation on Stability of Lanxi’s Ancient City Wall during a Major Flood Propagation Process by Zipeng Qin, Yan Tian, Qian Li, Weizhong He, Xiaohui He, Qingliang Zhu, Jingquan Gao

“…To quantitatively reveal the impact of major floods on the stability of ancient city walls, this paper takes Lanxi’s ancient city wall as a study object and constructs a numerical model to investigate the influence of the major flood process in 2017 on the wall stability and reveals the varying laws of its seepage, displacements, maximal shear stresses and safety factors with flood propagation time on the basis of flood level data, combining indoor experiments and field observations. …”
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Leveraging natural language processing for efficient information extraction from breast cancer pathology reports: Single-institution study. by Phillip Park, Yeonho Choi, Nayoung Han, Ye-Lin Park, Juyeon Hwang, Heejung Chae, Chong Woo Yoo, Kui Son Choi, Hyun-Jin Kim

“…<h4>Objective</h4>For the data extraction of breast cancer pathology reports in a single institute, we assessed the accuracy of methods between regular expression and natural language processing (NLP).…”
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Quantitative analysis of the proportion of α- and β-AlFeMnSi particles in wrought alloys based on image processing by Lehang Ma, Jianguo Tang, Wenbin Tu, Haichun Jiang, Heng Zhu, Xin Zhan, Yong Zhang, Huijin Tao

“…The morphology and size of α - and β -AlFeMnSi particles in an Al-Mg-Si wrought alloys are quantitatively investigated in this study. The length and width data of the particles were analysed by image processing from scanning electron microscopy and back-scattered electron images. …”
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Criteria for Assessing the Epidemiological Situation of Pertussis in Russian Federation by A. A. Basov, S. O. Vysochanskaya, O. V. Tsvirkun, T. R. Belova, S. E. Aduguzelov, Yu. V. Zhernov, K. A. Yatskovsky

“…Gabrichevsky Research Institute of Epidemiology and Microbiology, including information on each case of pertussis and collected from the Rospotrebnadzor Directorates in the Russian Federation (in 2017–2022). Statistical data processing and plotting were carried out with R version 4.1.2. …”
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Research of the personal characteristics of patients with vegetative disorders in relation to clinical and instrumental indicators by Vladimir A. Mikhailov, Nina A. Rzheutskaya, Igor V. Hyanikyaynen

“…Personality traits were examined using the «Big Five» test (The Big Five Inventory–2 Short Form (BFI–2–S)). Statistical processing of experimental data was carried out in Excel 14.0 environment using Statistica 6.0 software packages. …”
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Research of the personal characteristics of patients with vegetative disorders in relation to clinical and instrumental indicators by V. A. Mikhailov, N. A. Rzheutskaya, I. V. Hyanikyaynen

“…Personality traits were examined using the «Big Five» test (The Big Five Inventory–2 Short Form (BFI–2–S)). Statistical processing of experimental data was carried out in Excel 14.0 environment using Statistica 6.0 software packages. …”
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Systematic metronidazole adsorption performance onto montmorillonite clay: Parametric study, process modelling and RSM optimisation by Jean Paul Nongni Tejeogue, Raphael Djakba, Cyrille Ghislain Fotsop, Narcisse Dobe, Sali Mouhamadou, Bagamla Wangmene, Massai Harouna

“…The rate of the reaction and mechanism was verified through linear and nonlinear isotherms, kinetics and statistical error analysis. …”
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油莎豆的制油工艺研究Oil extraction process of tiger nut by 刘佳杰1,2,3，万楚筠2,3,郑畅2,3，沈汪洋1,4，杨国燕1,4 LIU Jiajie1,2,3，WAN Chuyun2,3，ZHENG Chang2,3， SHEN Wangyang1,4，YANG Guoyan1,4

“…综上，未脱皮油莎豆在85 ℃真空烘箱处理180 min后在80~90 ℃进行螺旋压榨，再进行超临界CO2萃取是一种既能高效提取油莎豆油又能保证粕品质的方法。 In order to provide data reference for efficient extraction of tiger nut oil and deep processing and utilization of its meal, the tiger nut oil was extracted by screw pressing-leaching process. …”
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A fair dividend approach for aggregating wearable sensor data to improve electronic health records. by Turki M Alanazi, Noha Alduaiji, Chahira Lhioui, Rim Hamdaoui, Somia Asklany, Monia Hamdi, Ali Elrashidi, Ghulam Abbas

“…The proposed approach outperforms baseline methods in access time, computational complexity, data utilization, processing time, aggregation ratio, and error rate by 10.18%, 5.19%, 10.57%, 8.48%, and 10.42%, respectively. …”
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Timing of intravenous iron for treatment of anaemia in surgical patients: a systematic review and network meta-analysisResearch in context by Chang Liu, Jiashu Han, Renkui Fu, Tianyu Li, Georgios Antonios Margonis, Jaeyun Jane Wang, Kaiqi Ma, Weibin Wang, Chen Lin

“…The primary outcomes were: (1) proportion of patients who received blood transfusion; (2) change between the baseline haemoglobin level and the haemoglobin level on postoperative day (POD) 7 and POD30. Data processing was conducted based on frequentist network meta-analysis. …”
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Prediction of fatal pancreatogenic shock in the first phase of the disease in patients with hyperergic inflammatory process in acute pancreatitis by A. N. Shcherbyuk, S. V. Morozov, A. V. Grishin, B. I. Yaremin, V. M. Manuylov, D. A. Tsarev, D. A. Mokhov, Ya. E. Nemstsveridze, A. A. Shcherbyuk

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Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production by Jinlong Yang, Chul-Hee Lee

“…To improve the model’s effectiveness across various industrial production environments, data augmentation techniques were employed, resulting in a trained model with notable precision, accuracy, and robustness. …”
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Data-driven parameter optimization for bead geometry in wire arc additive manufacturing of 17-4 PH stainless steel by Muhammad Irfan, Yun-Fei Fu, Shalini Singh, Sajid Ullah Butt, Abul Fazal Arif, Osezua Ibhadode, Ahmed Qureshi

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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…"Variables" in the output, i.e. the degree of digitalization of the innovation process were analyzed. According to the findings and comparing them with the background and findings of previous researches, it can be stated that the sensitivity rate and impact of input 1, that is, the benefit of digital technologies based on artificial intelligence, is more than the other 4 inputs on the digital level of innovation process, in the sense that having these technologies is the main axis. …”
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Predicting Survival Rates in Brain Metastases Patients from Non‐Small Cell Lung Cancer Using Radiomic Signatures Associated with Tumor Immune Heterogeneity by Fuxing Deng, Gang Xiao, Guilong Tanzhu, Xianjing Chu, Jiaoyang Ning, Ruoyu Lu, Liu Chen, Zijian Zhang, Rongrong Zhou

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Hybrid Deep Learning Models for Predicting Student Academic Performance by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga, Vikash Jugoo

“…Given that many undergraduate students face challenges leading to high failure and dropout rates, utilizing EDM to analyze student data becomes crucial. …”
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Studies on the Mechanism of Quality Changes in the Honey-Processing of Glycyrrhiza Uralensis Using Neutral Desorption Electrospray Ionization Mass Spectrometry by Ying LIU, Lin-lin YU, Xiao-wei FANG, Huan-wen CHEN, Dong WU

“…The results showed that principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) based on the MS data can effectively distinguish the four different processing degrees of G. uralensis samples. …”
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