PACE Technique to Error Categories: Its Effectiveness in Improving Word Problem Performance in Mathematics among the 7th Grade Students by Roghene A. Coloma, Florante P. Ibarra, Amirul Mukminin, Lenny Marzulina, Herri Mulyono, Kasinyo Harto

“…The test was administered to 38 students before and after the implementation of the PACE technique. The data collected were treated using frequency counts, means, rates, Newman’s error analysis tool and t-test for dependent means. …”
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Ferroelectric AlScN thin films with enhanced polarization and low leakage enabled by high-power impulse magnetron sputtering by Federica Messi, Jyotish Patidar, Nathan Rodkey, Christoph W. Dräyer, Morgan Trassin, Sebastian Siol

“…The demand for efficient data processing motivates a shift toward in-memory computing architectures. …”
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Context-Aware Multimodal Fusion with Sensor-Augmented Cross-Modal Learning: The BLAF Architecture for Robust Chinese Homophone Disambiguation in Dynamic Environments by Yu Sun, Yihang Qin, Wenhao Chen, Xuan Li, Chunlian Li

“…Chinese, a tonal language with inherent homophonic ambiguity, poses significant challenges for semantic disambiguation in natural language processing (NLP), hindering applications like speech recognition, dialog systems, and assistive technologies. …”
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ANALYSIS OF THE LEVEL OF INCLUSIVE DEVELOPMENT IN UKRAINIAN IT INDUSTRY by Victor Kloba

“…A significant share in the structure of the IT sector belongs to companies engaged in the provision of information services, including data processing, posting information on websites and related activities, development and support of web portals and other information services. …”
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Russian market of electronic resources: providers and users by I. K. Razumova

“…Materials comprise results of the data processing of the Russian surveys on acquisition budgets in 2012–2018 and published results of the international surveys. …”
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In-situ preheating: Novel insights into thermal history and microstructure of directed energy deposition-arc of hot-work tool steels by Ulf Ziesing, Santiago Benito, Sebastian Weber, Jonathan Lentz

“…By employing an innovative statistical approach that incorporates quantitative EDS data, the distribution of chemical elements was investigated. …”
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The Role of Innovative Entrepreneurship in the Economic Development of EU Member Countries by Rodica Crudu

“…For the statistical data analysis and processing, Stata and SPSS software tools were used. …”
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Nutrient Contents of Some Food Industry By-Products and Their Usage Possibilities as Alternative Feed Raw Materials in Animal Nutrition by Emrah Karadağ, Aylin Ağma Okur

“…Crude protein values were found to be the highest numerically in legume products (21.83%), beans (20.58%) and lentils (24.15%) among the processed residues. In addition, it will be useful to determine the usage rates in the ration, taking into account the anti-nutritional properties of each product.…”
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Microbial contamination of raw meat and its environment in retail shops in Karachi, Pakistan by Nafisa Hassan Ali, Amber Farooqui, Adnan Khan, Ameera Yahya Khan, Shahana Urooj Kazmi

“…Resistance to a wide range of antibiotics was observed. Resistance rates to ampicillin, amoxicillin, novobiocin and cefaclor were from 62 to 75% in general. …”
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Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…To enhance prediction accuracy, a proposed smart city system utilizes the Household Energy Consumption dataset, employing deep learning algorithms. In the beginning, data pre-processing addresses missing values and performs feature scaling for normalizing independent variables. …”
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SUSTAINABLE DEVELOPMENT OF THE AGRO-INDUSTRIAL COMPLEX AND RURAL TERRITORIES OF THE REGIONS by Mukhamed M. Shakhmurzov, Anatoliy S. Gordeev, Valery V. Kulintsev, Yusupzhan A. Yuldashbaev, Nina V. Konik, Radina A. Ulimbasheva, Murat B. Ulimbashev

“…The complex nature of monitoring, the objectivity of assessments of social as well as the performance and financial-economic indicators allow us to figure out the rating of each rural area of the region, which should be taken into account when providing government support and subsidizing agriculture and supporting the rural areas. …”
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Mindfulness training decreases the habituation response to persistent food stimulation by Alyssa Torske, Doris Schicker, Jessica Freiherr, Kathrin Koch

“…Functional magnetic resonance imaging (fMRI) and behavioral data were acquired before and after the intervention. …”
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Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

“…The digitization of healthcare and the health insurance industry has amplified the need for robust and trustworthy systems that ensure data security and optimize the insurance claim process. …”
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Biomimetic mesenchymal stem cell membrane-coated nanoparticle delivery of MKP5 inhibits hepatic fibrosis through the IRE/XBP1 pathway by Yafei Tian, Dandan Sun, Na Liu, Jianan Zhao, Tongjian Zhao, Xiaonan Liu, Xinzhe Dong, Li Dong, Wei Wang, Ping Jiao, Jie Ma

“…This study identified a reduction in MKP5 expression in fibrotic liver tissues of mice treated with CCl4 and observed that MKP5 knockout mice exhibited a more pronounced development of hepatic fibrosis. In addition, RNA-seq data indicated activation of protein processing in the endoplasmic reticulum signalling pathway in fibrotic liver tissues of mice lacking MKP5. …”
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Service Caching in Multi-Tier Fog Radio Access Networks by Ayaz Ahmad, Adel Aldalbahi, Fawad Ahmad, Sher Ali

“…Fog computing, which performs data processing at the edge of the network, is a promising solution for increasing user satisfaction rates while decreasing latency and energy consumption. …”
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Informational Approaches in Modelling Social and Economic Relations: Study on Migration and Access to Services in the European Union by Florentina-Loredana Dragomir-Constantin, Camelia Madalina Beldiman, Monica Laura Zlati

“…The research is based on the correlations between gross value added (GVA), gross fixed capital formation (GFCF), greenhouse gas emissions (GHGE), health expenditure (SHA11), and migration rates (MIGR). The applied methodology includes attribute distribution analysis, identification of hidden patterns through clustering algorithms (K-Means and Expectation-Maximisation) and training of classifiers using regression decision trees with linear leaf models (M5P) corresponding to interdependent data processing and integration modules, exploratory analysis module, machine learning and decision-making modules, oriented to support public policies through explainable scenarios and predictive-evaluative structures. …”
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Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

“…In this discipline, machine learning decision-making shows potential. High-dimensional data from several sources may impede processing and classification model performance. …”
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The Feedback of Urban Development on the Variation of Rainy Season in Kunming City， Yunnan Plateau by Ping HE, Jinling ZHAO

“…The daily precipitation data of Kunming Station for nearly 30 years from 1991 to 2020 were used to calculate the beginning and ending periods of Kunming rainy season （May-October）， further determine the length of the rainy season in Kunming.Additionally， statistical yearbook data for Yunnan Province and Kunming City were used， including year-end total population， urban built-up area， urbanization rate， per capita GDP， and other urban development factors， to determine the urban development process in Kunming.This process divided Kunming's urban development into a slow period （1991 -2003） and a fast period （2004 -2020）.The characteristics and differences in the length of the rainy season in Kunming City during these two periods were then analyzed and compared.Various analytical methods， including statistical analysis， wavelet analysis， and Mann-Kendall （M-K） mutation test， were employed to systematically analyze the temporal changes in the length of the rainy season in Kunming City.Additionally， the grey correlation analysis method was used to assess the correlation between the length of the rainy season and urban development in Kunming City.The results indicate that from 1991 to 2020， the start date of Kunming City's rainy season gradually became later， while the end date gradually became earlier， resulting in an overall trend of the rainy season getting shorter.Wavelet coefficient analysis revealed that there was no obvious regularity in the variation of the rainy season's length on time scales below 8 years， but on a 17-year time scale， there was a noticeable cycle of short-long-short-long-short variations， The rainy seasons from 2003 to 2008 and from 2014 to 2017 were relatively long， while the rainy seasons from 1991 to 2002， 2009 to 2012， and 2018 to 2020 were relatively short.The unclosed contour lines from 2018 to 2020 indicate a further trend of shortening.The M-K test showed that the length of the rainy season in Kunming City experienced four abrupt changes between 1991 and 2020， Occurring in 2002， 2008， 2012 and 2017.Regarding the relationship between Kunming's urban development and the length of the rainy season， the variation trend of the rainy season length during the slow urban development period remained relatively stable.However， after 2004， during the rapid urban development period， there was a significant reduction in the length of the rainy season in Kunming City， Extreme volatility became more pronounced as the urban development process accelerated.The SPSS （Statistical Product and Service Solutions） was used to predict the duration of rainy season in the next 10 years in Kunming City， The results show that the rainy season will continue to be shorter in the next 10 years in Kunming.When the grey correlation resolution was set at 0.5， four factors representing the urban development process had varying degrees of influence on the length of the rainy season in Kunming City， with correlation coefficients all exceeding 0.70， the results show that there is a significant correlation between the urban development and the length of rainy season in Kunming.Among these factors， the most influential one was the year-end total population， while the least influential was per capita GDP， with grey correlation coefficients of 0.88 and 0.70， respectively， signifying a high and significant correlation.The order of correlation coefficients for the four factors is as follows： year-end total population > urbanization rate > urban built-up area > per capita GDP.…”
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Meta-analysis of acupuncture combined therapies for amblyopia: efficacy and safety insights by Kang Tan, Kang Tan, Yunfeng Yu, Pei Liu, Pengfei Jiang, Yi Liu, Bidan Lou, Qinghua Peng

“…Thereafter, the basic information, outcome data, and risk of bias of the included studies were statistically analyzed. …”
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Optimized design based on LVDS transmission reliability by Du Kaixuan, Jiao Xinquan, Yang Zhiwen, Li Huijing

“…The software adopts the method of identifying the frame header and sending the training frame to improve the link building process. The hardware chooses a better performance electriciacl isolation chip and optimizes the differential terminal impedance to reduce the impact of interference on data transmission. …”
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