Characterization of the Cicatrization Process in Diabetic Foot Ulcers Based on the Production of Reactive Oxygen Species by Alberto López-Delis, Suélia de S. Rodrigues Fleury Rosa, Paulo Eduardo Narcizo de Souza, Marcella Lemos Brettas Carneiro, Mário Fabrício Fleury Rosa, Yasmin Carneiro Lobo Macedo, Fabiane Hiratsuka Veiga-Souza, Adson Ferreira da Rocha

“…The sample consists of 15 participants with lower limb lesions divided into three groups: group 1 case (5 participants) received the proposed dressing system adhesive of the natural latex associated with the LED circuit; group 2 control (5 participants) received the dressings at home performed by nurses according to and established by the clinic of wounds (treated with calcium alginate or silver foam); and group 3 (5 participants) also received the dressing in their homes with the use of the dressing adhesive derived from the natural latex associated with the LED circuit. The collected data were analyzed qualitatively and quantitatively by electron paramagnetic resonance for determination of free radical formation. …”
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Quantifying extracellular vesicle heterogeneity: the effect of process conditions on protein cargo for skin therapy by Michelle Combe, Kathy Sharon Isaac, Jordan R. Plews, Stanislav Sokolenko

“…This review aims to both compile publicly available EV proteomics data and quantitatively estimate. the impact of process conditions on protein cargo—particularly in the context of skin therapy applications. …”
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Utilization of Data Mining Techniques in SIMPUS towards Smart Library at IAIN Kendari by Samrin, Badarwan, Raehang, Obaid Moh. Yahya, Syahrul

“…By using algorithms such as association rules, clustering, and classification, historical data on borrowing and collection management can be processed to produce valuable insights, such as user behavior patterns, book need predictions, and collection recommendations. …”
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Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor by Delima Sitanggang, lamria Simangunsong, Geertruida Frederika Sundah, Rani Hutahaean, Indren Indren

“…The results of the study showed that the process of applying data mining for the classification of tuberculosis disease using the K-Nearest Neighbor method obtained a final result of 80% accuracy. …”
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Anomalous Propagation Echo Classification of Imbalanced Radar Data with Support Vector Machine by Hansoo Lee, Eun Kyeong Kim, Sungshin Kim

“…A number of technologically advanced devices, such as radars and satellites, are used in an actual weather forecasting process. Among these devices, the radar is essential equipment in this process because it has a wide observation area and fine resolution in both the time and the space domains. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…This paper deeply analyzes the distribution characteristics of abnormal data and proposes a novel method for abnormal data cleaning based on a classification processing framework. …”
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Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data by Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu

“…The Fuzzy C-means clustering was proposed to be combined with quantitative spatial regression, and the overall evaluation process will assist to assess the spatial-temporal levels of service of traffic from the congestion perspective.…”
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Multi-locus analysis of genomic time series data from experimental evolution. by Jonathan Terhorst, Christian Schlötterer, Yun S Song

“…However, standard population genetic inference procedures do not account for sampling serially over time, and new methods are needed to make full use of modern experimental evolution data. To address this problem, we develop a Gaussian process approximation to the multi-locus Wright-Fisher process with selection over a time course of tens of generations. …”
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PRODUCTION EFFICIENCY: ROLE OF DECISION MAKING FACTORS, BIG DATA AND PREDICTIVE ANALYTICS by Mohanad Mohammed Sufyan Ghaleb, Sanjar Mirzaliev

“…A quantitative approach was employed, collecting data from 283 productions, line, and shift managers, as well as engineers working in manufacturing industry. …”
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Visual information processing characteristics of tactical decisions of soccer players in 3V3 offense scenarios by Tianyu Gao, Peng Shi, Duoyao Zhang, Guodong Wang, Jianming Zhang

“…The Dikablis Professional head-mounted eye tracker with D-lab software was used to record and process the participants’ eye movement data and decision-making agility data. …”
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Computational modeling of visual salience alteration and its application to eye-movement data by Yoshihisa Fujita, Toshiya Murai, Jun Miyata, Jun Miyata

“…Computational saliency map models have facilitated quantitative investigations into how bottom-up visual salience influences attention. …”
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Scaling data PLC sebagai pengontrol motor stepper penggerak ulir extruder by Muhamad Rifa’i, Herwandi Herwandi, Hari Kurnia Safitri, Abrar Kadafi

“…Method used is quantitative experimental data scaling using mathematical equations of scaling setpoint, motor rotational speed (rpm) and motor torque (Nm). …”
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Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis by Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz, Hanna Hottenrott

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Comparative Analysis of Tool Functionality in Descriptive Statistics of Language R by T. G. Apal’kova, K. G. Levchenko

“…The article provides methods and procedures of getting numerical statistical characteristics of qualitative and quantitative features by means of language R in the process of preliminary data analysis. …”
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Fatores de risco em cadeia de suprimentos do setor aeroespacial: aspectos qualitativos e quantitativos Risk factors in aerospace supply chain: qualitative and quantitative aspects by Kelly Ayumi Funo, Jorge Muniz Junior, Fernando Augusto Silva Marins

“…These factors were quantitatively evaluated with respect to their criticality using the Analytic Hierarchy Process (AHP). …”
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Developing an artificial intelligence-based progressive growing GAN for high-quality facial profile generation and evaluation through turing test and aesthetic analysis by Shahab Kavousinejad, Kazem Dalaie, Mohammad Behnaz, Soodeh Tahmasbi, Asghar Ebadifar, Hoori Mirmohammadsadeghi

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Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU by Laura López-Viñas, Jose L. Ayala, Francisco Javier Pardo Moreno

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Assessment of spine mobility in patients with ankylosing spondylitis by ultrasound scanning (preliminary data) by M. K. Kurbanmagomedov, K. V. Sakharova, A. B. Demina, Sh. F. Erdes

“…Correlation analysis data indicate the presence of a correlation between an increase in the distance between the spinous processes in the cervical and lumbar spine and a decrease in ESR, and i increase in the distance between the spinous processes in the lumbar spine and level of CRP. …”
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Unsupervised Segmentation and Classification of Waveform-Distortion Data Using Non-Active Current by Andrea Mariscotti, Rafael S. Salles, Sarah K. Rönnberg

“…Non-active current in the time domain is considered for application to the diagnostics and classification of loads in power grids based on waveform-distortion characteristics, taking as a working example several recordings of the pantograph current in an AC railway system. Data are processed with a deep autoencoder for feature extraction and then clustered via k-means to allow identification of patterns in the latent space. …”
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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning by Yuriya Nakamura, Lei Jing

“…Therefore, we focus on visual-based SLR using skeletal data and propose an adversarial learning SLR model called Adversarial Vulnerability-Seeking Networks (AVSN), which jointly trains two independent processes, data augmentation, and machine learning. …”
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