Data Processing Techniques Research Articles

Language proficiency and diversity in students’ attitudes towards code-switching: a case study of English as a foreign language classrooms in Italian tertiary education

By relying on a mixed-method approach consisting of a combination of various quantitative and qualitative techniques of data collection and processing, this article delves into the attitudes towards code switching (CS), as expressed by students attending English language and English linguistics courses at two Italian universities. Data are retrieved by means of a questionnaire, submitted to 297 students in total and including both closed- and open-ended questions. Based on concepts such as those of conversational loci, or CS functions – namely academic, managerial and social, all well-rooted in the literature – this article also aims at establishing a link between students’ attitudes and their respective proficiency level in English according to the CEFR. Despite managing to establish that teacher CS is not felt to have a negative impact on their language skills, the data gathered reveal diverse attitudes, also in relation to the specific functions examined. In the conclusion, possible pedagogical implications of classroom CS are proposed and assessed.

Analisis Pengaruh Iklan Judi Slot Online pada Situs Tokyo99 terhadap Masyarakat Kabupaten Sumbawa

The current development of the internet really helps people so that they can communicate easily without having to meet in person or communicate long distances. This is a positive impact for someone who uses internet technology media wisely. Those who initially used the Internet only to access learning information, games and social media, then because of the curiosity of young people, some began to access online gambling games. One of the online slot gambling sites is TOKYO99. The behavior of playing online slot gambling can have a negative impact on the perpetrator and the social environment. The impact that can arise from this gambling behavior is usually called the Phatalogical Gambler. The aim of this research is to determine the influence of advertising on the TOKYO99 site in promoting online slot gambling games to the people of Sumbawa Regency. This research uses a descriptive qualitative approach method. Qualitative research methods are qualitative data processing techniques carried out in order to describe or discuss research results using conceptual analysis and theoretical analysis approaches. This thesis also uses the theory of syringes and uses and gratification. The research results show that the TOKYO99 site uses social media as promotional material to encourage people to play online slot gambling. In playing online slot gambling games, the TOKYO99 site offers quite fantastic results, so that people who see this online slot gambling advertising promotion are interested and start playing the game.

Analysis of COVID-19 Virus Spread in Jakarta Using Multiple Linear Regression

COVID-19, first identified in Wuhan, China in December 2019, quickly spread worldwide and was declared a pandemic by WHO in March 2020. Indonesia reported its first case on March 2, 2020, and the pandemic has had a significant impact on the country's economic, social, and health sectors. This study aims to predict the death rate due to COVID-19 in Jakarta using multiple linear regression method. The dataset collected from Andra Farm - Go Green website includes COVID-19 cases recorded in all sub-districts in Jakarta on November 1, 2023. Pre-processing was performed to improve the quality and accuracy of the model. The method used was multiple linear regression. The analysis results show that variables such as total travel and discarded trip have a significant influence in predicting the number of positive cases. The study found that lowering the correlation threshold for selecting independent variables reduced the mean squared error (MSE) and improved model performance, highlighting the importance of variable selection in developing accurate predictive models. These findings provide important insights for the government in making informed decisions regarding post-pandemic healthcare. This research underscores the value of robust data processing and variable selection techniques in enhancing predictive accuracy for public health planning.

Comprehensive Review: Machine and Deep Learning in Brain Stroke Diagnosis.

Brain stroke, or a cerebrovascular accident, is a devastating medical condition that disrupts the blood supply to the brain, depriving it of oxygen and nutrients. Each year, according to the World Health Organization, 15 million people worldwide experience a stroke. This results in approximately 5 million deaths and another 5 million individuals suffering permanent disabilities. The complex interplay of various risk factors highlights the urgent need for sophisticated analytical methods to more accurately predict stroke risks and manage their outcomes. Machine learning and deep learning technologies offer promising solutions by analyzing extensive datasets including patient demographics, health records, and lifestyle choices to uncover patterns and predictors not easily discernible by humans. These technologies enable advanced data processing, analysis, and fusion techniques for a comprehensive health assessment. We conducted a comprehensive review of 25 review papers published between 2020 and 2024 on machine learning and deep learning applications in brain stroke diagnosis, focusing on classification, segmentation, and object detection. Furthermore, all these reviews explore the performance evaluation and validation of advanced sensor systems in these areas, enhancing predictive health monitoring and personalized care recommendations. Moreover, we also provide a collection of the most relevant datasets used in brain stroke analysis. The selection of the papers was conducted according to PRISMA guidelines. Furthermore, this review critically examines each domain, identifies current challenges, and proposes future research directions, emphasizing the potential of AI methods in transforming health monitoring and patient care.

Aeromagnetic geophysical data 3D inversion: Revealing internal and external structures of Morro São João Alkaline Complex, Southeast Brazil

This study investigates the internal and external structures of the Morro São João Alkaline Complex, located in Southeast Brazil, using high-resolution aeromagnetic geophysical data. The primary objective is to delineate the architecture of the underlying magma chamber system. The geophysical investigation primarily employs aeromagnetic data processing techniques, unveiling subsurface structures and shedding light on the magmatic evolution of the region. Aeromagnetic data from the Rio de Janeiro Aerogeophysics Project were processed and interpreted to identify significant magnetic anomalies and structural features. The results reveal five distinct magnetic domains correlating with various lithologies, including Monzogranite and Amphibolite Paragneiss. The observed NW-SE and NE-SW magnetic lineaments are crucial indicators of the region’s structural complexities, reflecting tectonic influences and highlighting the significance of regional geological context in deciphering magnetic anomalies. The geophysical anomaly associated with Morro São João, characterized by its rounded shape and eccentricity, aligns with the documented lithological variations. Numerical inversion techniques were employed to create a detailed three-dimensional model of the magmatic system. The main geophysical result is the 3D inversion model, which unveils a magmatic chamber approximately 4 km beneath the surface. This model reveals the subsurface architecture and conduits from the chamber, providing a dynamic perspective on the processes shaping the hill’s morphology. The integration of regional magnetic lineaments, lithological variations, and the 3D inversion model elevates our comprehension of the geophysical intricacies of the Morro São João Alkaline Complex.

Ngalap Berkah Tradition (A Case Study of the Ritual of Visiting the Grave and Buka Luwur of Sunan Kudus’s Tomb)

<em>This research attempts to analyze the form of acculturation between Islam and local culture in the tradition of ngalap berkah performed by the people of Kudus, Central Java and its surroundings. This research was conducted to find out how the acculturation between Islam and local culture in ngalap berkah and why they preserve the tradition of ngalap berkah. In this case, this research tries to use a anthropological approach to reveal the phenomenon of the buka luwur tradition. The anthropological approach model is based on data collected by the author through interviews, observations, and surveys. The data processing technique in this research is descriptive qualitative, namely data analysis is carried out simultaneously with data collection. The results of this study indicate that the acculturation between Islam and local culture in the tradition of ngalap berkah carried out by the people of Kudus and its surroundings there are three kinds, namely, ngalap berkah about pilgrimage ritual to the tomb of Sunan Kudus, ngalap berkah on the former luwur of Sunan Kudus’s tomb, and ngalap berkah on the distribution of sego berkat in the opening ceremony of Sunan Kudus’s tomb. This tradition is still practiced by the community because they believe that the rituals of pilgrimage and opening the tomb of Sunan Kudus have nuances of abundant blessings in their lives.</em>

Pengaruh Produk Dan Promosi Terhadap Keputusan Pembelian Konsumen Handphone Vivo Pada Counter Semaku Ponsel Manna Bengkulu Selatan

Product quality is a product's ability to meet every consumer need in accordance with the needs and desires of consumers and promotion is an effort to offer products or services with the aim of attracting potential consumers to buy a product. This thesis is entitled “The Influence of Products and Promotions on Consumer Purchasing Decisions for Vivo Handphone at Semaku Cellphone Counter Manna of South Bengkulu. This study aims to determine the effect of products and promotions on consumer purchasing decisions for Vivo Handphone at Semaku Cellphone Counter Manna of South Bengkulu. This study uses quantitative research, the object of research is all consumers who come to buy Vivo Handphone Semaku Cellphone Counter Manna of South Bengkulu. The sampling method uses a non-probability sampling method where the proportional sampling method is a method of determining the sample through considerations and criteria that deserve to be sampled, namely 65 respondents. The data collection technique used a questionnaire instrument. The data processing technique used is data processing with SPSS version 29. The value of the product variable t count 6.529 is greater than t table 0.244, the value of the promotion t count 4.312 is greater than t table of 0.244. The results of F test with a significant value of product and promotion variables of 0.01<alpha 0.05 and the calculated F count 612.554 is greater than F table 3.31. This shows that the independent variables together have an influence on purchasing decisions with a coefficient of determination of 0.295 (29.5%) and the remaining 70.5% is influenced by other factors not included in this study.

Using convolutional neural networks to detect edge localized modes in DIII-D from Doppler backscattering measurements.

In H-mode tokamak plasmas, the plasma is sometimes ejected beyond the edge transport barrier. These events are known as edge localized modes (ELMs). ELMs cause a loss of energy and damage the vessel walls. Understanding the physics of ELMs, and by extension, how to detect and mitigate them, is an important challenge. In this paper, we focus on two diagnostic methods-deuterium-alpha (Dα) spectroscopy and Doppler backscattering (DBS). The former detects ELMs by measuring Balmer alpha emission, while the latter uses microwave radiation to probe the plasma. DBS has the advantages of having a higher temporal resolution and robustness to damage. These advantages of DBS diagnostic may be beneficial for future operational tokamaks, and thus, data processing techniques for DBS should be developed in preparation. In sight of this, we explore the training of neural networks to detect ELMs from DBS data, using Dα data as the ground truth. With shots found in the DIII-D database, the model is trained to classify each time step based on the occurrence of an ELM event. The results are promising. When tested on shots similar to those used for training, the model is capable of consistently achieving a high f1-score of 0.93. This score is a performance metric for imbalanced datasets that ranges between 0 and 1. We evaluate the performance of our neural network on a variety of ELMs in different high confinement regimes (grassy ELM, RMP mitigated, and wide-pedestal), finding broad applicability. Beyond ELMs, our work demonstrates the wider feasibility of applying neural networks to data from DBS diagnostic.

Evaluating Multimodal Techniques for Predicting Visibility in the Atmosphere Using Satellite Images and Environmental Data

Visibility is a measure of the atmospheric transparency at an observation point, expressed as the maximum horizontal distance over which a person can see and identify objects. Low atmospheric visibility often occurs in conjunction with air pollution, posing hazards to both traffic safety and human health. In this study, we combined satellite remote sensing images with environmental data to explore the classification performance of two distinct multimodal data processing techniques. The first approach involves developing four multimodal data classification models using deep learning. The second approach integrates deep learning and machine learning to create twelve multimodal data classifiers. Based on the results of a five-fold cross-validation experiment, the inclusion of various environmental data significantly enhances the classification performance of satellite imagery. Specifically, the test accuracy increased from 0.880 to 0.903 when using the deep learning multimodal fusion technique. Furthermore, when combining deep learning and machine learning for multimodal data processing, the test accuracy improved even further, reaching 0.978. Notably, weather conditions, as part of the environmental data, play a crucial role in enhancing visibility prediction performance.

An efficient quantum algorithm for independent component analysis

Independent component analysis (ICA) is a fundamental data processing technique to decompose the captured signals into as independent as possible components. Computing the contrast function, which serves as a measure of the independence of signals, is vital and costs major computing resources in ICA. This paper presents a quantum algorithm that focuses on computing a specified contrast function on a quantum computer. Using the quantum acceleration in matrix operations, we efficiently deal with Gram matrices and estimate the contrast function with the complexity of O(ϵ1−2polylog⁡(N/ϵ1)) . This estimation subprogram, combined with the classical optimization framework, builds up our ICA algorithm, which exponentially reduces the complexity dependence on the data scale compared with algorithms using only classical computers. The outperformance is further supported by numerical experiments, while our algorithm is then applied for the separation of a transcriptomic dataset and for financial time series forecasting, to predict the Nikkei 225 opening index to show its potential application prospect.

Analysis of basic shooting technique abilities in soccer games

This study was conducted for several reasons. Some students have bad experiences understanding and applying the correct basic shooting techniques. Moreover, a lack of adequate practice or understanding of the technique can cause it. Besides, students have trouble maintaining consistency when implementing basic shooting techniques. Some factors, such as physical fatigue, lack of concentration, or lack of regular exercise, can cause it. Thus, this research aimed to analyze basic shooting technical abilities in soccer games. This research applied quantitative research involving 30 high school students actively participating in extracurricular activities as the research participants. The instrument was the shooting test. The data analysis technique used descriptive statistics entered predetermined categories. The categorization was grouped into 5: excellent, good, fair, poor, and very poor. Then, the data were entered into the data processing technique in percentages. The results show that students' basic shooting technical abilities were in a good category, with a percentage of 40%, and the lowest is 3%. From the results of research on basic skills in soccer shooting techniques, several main points were concluded, namely that from the sample size, most students (53%) were still in the category of basic skills in good shooting techniques. Students who fall into the poor and very poor categories need special attention and extra guidance to improve their abilities in basic shooting techniques.

MENGULIK SEJARAH PERKEMBANGAN TAFSIR ISYARI DAN PANDANGAN PARA ULAMA

The science of the interpretation of the Qur'an continues to develop from time to time. These movements occur in various matters concerning the interpretation of the Qur'an such as methods, approaches, and also styles of interpretation. One form of interpretation that has developed is isyari interpretation. Isyari interpretation also causes problems between scholars with various views. This study aims to discuss and explore more about the history of the emergence of isyari interpretation and its development from time to time accompanied by the views of scholars at that time. The results of the analysis of this article are expected to have a positive influence, both in theory and practice. Theoretically, this research aims to provide an initial understanding and insight into the history of the emergence of isyari tafsir and its development from time to time accompanied by the views of the scholars at that time. While practically, this research is expected to be used as a basis in addressing the differences of opinion regarding the interpretation interpreted in isyari. The method used in this research is qualitative, using literature review. The main data sources used are books related to the discussion and the supporting sources are journals related to the discussion to help analyze the problem. The data processing technique used is by reading and understanding various literature related to the discussion, then analyzing the contents to get conclusions from several data sources used.

GAMBARAN PENGETAHUAN SISWA KELAS 12 SMK BHAKTI INSANI KECAMATAN WONOSARI KABUPATEN KLATEN TENTANG PENGGUNAAN ANTIBIOTIK

Antibiotics are drugs used to prevent and treat infections caused by bacteria. The relatively high intensity of antibiotic use can cause problems, including bacterial resistance to antibiotics. Resistance is the ability of bacteria to neutralize antibiotics and make them less effective. The aim of this research is to determine the knowledge of class 12 students at Bhakti Insani Vocational School, Wonosari District, Klaten Regency regarding the use of antibiotics. This type of research is non-experimental quantitative descriptive research. The sample in this research was 12th grade students at Bhakti Insani Vocational School, totaling 122 respondents, with sampling carried out using a sampling technique, namely total population sampling. Data processing techniques use Microsoft Office Excel and converted to percentage values. Based on the results of research describing the knowledge of class 12 students at Bhakti Insani Vocational School, Wonosari District, Klaten Regency regarding the Use of Antibiotics, it shows that 73 respondents had good knowledge (68%), 30 respondents had moderate knowledge (28%), and 4 respondents had poor knowledge (4%). So it can be concluded that the description of the knowledge of class 12 students at Bhakti Insani Vocational School is in the "good" category.

COMMUNICATIVE TOLERANCE FORMATION AT UNIVERSITY: PEDAGOGICAL AND PSYCHOLOGICAL ASPECTS

The study explores the establishment of communicative tolerance (CT) as a crucial pedagogical and psychological factor in shaping the communicative competence of prospective professionals. It draws on the examination of various studies conducted by scholars from both domestic and international backgrounds. Objective of the research. The primary goal of this paper is to elucidate the concept of "communicative tolerance" and to devise, validate and apply a pedagogical approach to cultivate CT among future psychologists in EFL university classes. The authors' research introduces a new aspect by defining the core principle of "communicative tolerance" and outlining its structural elements, as well as devising a method for cultivating CT. The experimental study identified three fundamental levels of CT at both the outset and conclusion of the project. The research introduces a novel concept of "communicative tolerance" and provides a clear definition of its structural components, along with the development of a technology for fostering CT. The study identified three levels of CT at both the initial and final stages of the experimental work. Materials and methods utilized in the research included theoretical approaches such as analysis, systematization and generalization of scientific literature, as well as a review of federal documents. Empirical methods like observation and testing, sociological methods such as surveys and questioning, and mathematical and statistical techniques for both quantitative and qualitative data processing were employed. The methodology was based on the General Communicative Tolerance questionnaire by V.V. Boyko, complemented by a series of psychological diagnostic tests. Research results. The study at Sevastopol State University included 35 fourth-year students. By applying educational methods, it was demonstrated that CT levels among students can rise by 14%. This research confirms the importance of continuously enhancing students' critical thinking in a university environment. The practical applications of these findings extend to enhancing the professional skills of educators through additional vocational training, job placement, and on-the-job training programs.

Tradisi Perkawinan pada Masyarakat Desa Tanete Kecamatan Tompobulu Kabupaten Gowa

This research examines the Marriage Tradition in the Tanete Village, Tompobulu Subdistrict, Gowa Regency. The problem in this research is how the marriage tradition is conducted in the Tanete Village community, Tompobulu Subdistrict, Gowa Regency. The type of research used in this study is field research or field research using a descriptive research method. The data sources for this research were obtained from informants through interviews and direct observations. The data in this research include interview results and written data obtained through observations, field notes, interviews, and documentation. The data processing and analysis techniques are carried out through three stages: identifying data, grouping data, and describing data. The research findings are as follows: firstly, the marriage tradition in the Tanete Village community, Tompobulu Subdistrict, Gowa Regency, is carried out with a sequence of Abboya (proposal), the tradition of Abboya in the Makassar community, especially in Tanete village, is one of the traditions in marriage that needs to be preserved because this tradition is a form of diversity in community life. Appatantu Allo (determining the wedding day), in the Tanete Village community, Tompobulu Subdistrict, Appattantu Allo is a fundamental part of the marriage tradition carried out before the marriage contract process takes place because it is related to choosing an auspicious day, which holds special significance according to the local community's perspective.

THE SACRED SIGNIFICANCE OF LOCAL WISDOM IN THE BASAPA RITUAL OF MINANGKABAU

The extraordinary enthusiasm of the people attending the Basapa tradition event was generally reasonable because they respected those who had contributed to spreading Islam in Minangkabau and again there were several sacred things attached to Sheikh Burhanuddin so that it became an attraction for pilgrims to attend the rituals carried out every year in the month of Safar. Basapa is a ritual in the form of a simultaneous pilgrimage at the tomb of Sheikh Burhanuddin in Ulakan. Although the cleric figure of Sheikh Burhanuddin of the Tariqa Syattariah congregation, at the Basapa event, those who attended were not only followers of the Syattariah congregation but also the Muslim community in general. The formulation of the problem, namely: What is the background of the development and procession of the Basapa ritual in Ulakan and why the Basapa ritual became sacred in Ulakan, so that it was attended by many people in general from various parts outside the province of West Sumatra. This type of research is included in qualitative descriptive research, as for the systematic series of this research, namely: data sources, data collection techniques and data processing and analysis techniques. The result of the research is that mass pilgrimages occur at the Basapa Ritual which is considered sacred to its followers. The resultant attractive-consolidative Basapa ritual provides reconciliation from various socio-cultural aspects, especially giving the value of cultural inclusiveness to Minangkabau Islam and the sacredness of local wisdom or local wisdom from the Basapa tradition initially based on a religious dimension, but in its improvement, it became a local convention which in the end became a single ethnic identity.

Overview of Return Times for Inpatient Medical Records at Andalas University Hospital

One supporting element for medical record processing is the prompt return of files belonging to patients who have concluded their inpatient healthcare services. The established standard for the return of these medical records is within a maximum of 48 hours. This research aims to ascertain the timeframe the return of hospitalized patient records at Andalas University Hospital in Padang. The investigation employed a quantitative approach utilizing descriptive methods. The research took place in the storage room at Andalas University Hospital, Padang. The investigation took place starting from May to September 2023. The population of this study was 302 files with a sample of 75 medical record files with data collection time from 20 to 25 September 2023. The research applied the Simple Random Sampling technique. Data gathering involved observation and data processing techniques including editing, coding, processing, and cleaning. The analysis focused on univariate analysis. Results from Andalas University Hospital revealed that 31 files (41.3%) returned accurate medical records, while 44 files (58.7%) were found to have incorrect medical records returned. This indicates that many medical record files were returned after the stipulated timeframe of >48 hours. As a conclusion from the study, it's imperative for the head of the medical records room to assess and supervise the return process of inpatient medical record files. By doing so, this issue can be mitigated and delays in Submitting the medical records of a hospitalized patient anew files can be minimized.

The Influence Of Islamic Financial Literacy, Religiosity, And Service Quality On The Decision To Save at Islamic Banks with Trust as an Intervening Variable in Jambi Province

This study examines and analyzes the influence of Sharia financial literacy, religiosity, and service quality on saving decisions in Islamic Banks with trust as an intervening variable in Jambi Province. This study has a sample size of 115 respondents representing each district/city in Jambi Province with a proportional nonrandom sampling technique. The data used were primary data obtained from distributing questionnaires. The research analysis method used Structural Equation Modeling Partial Least Squares (SEM-PLS) and data processing techniques using descriptive statistical analysis techniques and Partial Least Square (PLS) analysis with the help of SmartPLS 4.1.0.2 software. The results of this study indicate that Sharia financial literacy, religiosity, and service quality have a positive and significant effect on customer trust in Islamic banks in Jambi Province. Sharia financial literacy and service quality positively and significantly affect customer decisions to save at Islamic banks in Jambi Province. However, religiosity does not affect saving decisions at Islamic banks in Jambi province. Trust positively and significantly affects saving decisions at Islamic banks in Jambi Province. Trust can mediate the influence of Sharia financial literacy, religiosity, and service quality variables on saving decisions in Islamic Banks in Jambi province.

Application of big data technology in the medical field

This project aims to construct a knowledge graph system applied to the field of traditional Chinese medicine (TCM) by extracting entities (such as drugs, diseases, etc.) and their relationships from TCM medical case data and storing them in a Neo4j database. The project process includes data reading, entity recognition and extraction, data formatting, and data import into the database. The project not only improved the individual's proficiency in Python data processing techniques (including regular expressions and JSON parsing) but also enhanced their skills in knowledge graph construction and database operations. In the future, there is a desire to further improve technical capabilities, explore more cutting-edge technologies in the TCM field, and promote project progress through collaboration, contributing to the modernization of TCM and intelligent healthcare services.

Georectifying drone image data over water surfaces without fixed ground control: Methodology, uncertainty assessment and application over an estuarine environment

Light-weight consumer-grade drones have the potential to provide geospatial image data to study a broad range of oceanic processes. However, rigorously tested methodologies to effectively and accurately geolocate and rectify these image data over mobile and dynamic water surfaces, where temporally fixed points of reference are unlikely to exist, are limited. We present a simple to use automated workflow for georectifying individual aerial images using position and orientation data from the drone's on-board sensor (i.e. direct-georectification). The presented methodology includes correcting for camera lens distortion and viewing angle and exploits standard mathematics and camera data processing techniques. The method is used to georectify image datasets from test flights with different combinations of altitude and camera angle. Using a test site over land, directly-georectified images, as well as the same images georectified using standard photogrammetry software, are evaluated using a network of known ground control points. The novel methodology performs well with the camera at nadir (both 10 m and 25 m above ground level) and exhibits a mean spatial accuracy of ±1 m. The same accuracy is achieved when the camera angle is 30° at 10 m above ground level but decreases to ±2.9 m at 30° and 25 m. The accuracy changes because the uncertainties are a function of the altitude and angle of the camera versus the ground. Drone in-flight positioning errors can reduce the accuracy further to ±5 m with the camera at 30° and 25 m. An ensemble approach is used to map the uncertainties within the camera field-of-view to show how they change with viewing distance and drone position and orientation. The complete approach is demonstrated over an estuarine environment that includes the shoreline and open water, producing results consistent with the land-based field-tests of accuracy. Overall, the workflow presented here provides a low cost and agile solution for direct-georectification of drone-captured image data over water surfaces. This approach could be used for collecting and processing image data from drones or ship-mounted cameras to provide observations of ocean colour, sea-ice, ocean glitter, sea surface roughness, white-cap coverage, coastal water quality, and river plumes. The Python scripts for the complete image georectification workflow, including uncertainty map generation, are available from https://github.com/JamieLab/SArONG.