Science topic
Data Analysis - Science topic
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Publications related to Data Analysis (10,000)
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The purpose of this book proposal is to provide a comprehensive resource on the latest trends and applications in smart horticulture. The field of horticulture has been undergoing a transformative shift, driven by advancements in technology and the need for sustainable agricultural practices. Smart horticulture encompasses the integration of digita...
The purpose of this book proposal is to provide a comprehensive resource on the latest trends and applications in smart horticulture. The field of horticulture has been undergoing a transformative shift, driven by advancements in technology and the need for sustainable agricultural practices. Smart horticulture encompasses the integration of digita...
Penelitian ini mengkaji efektivitas penggunaan poster digital sains dalam pembelajaran berbasis proyek untuk mendukung pengembangan keterampilan desain dan presentasi mahasiswa serta mengeksplorasi persepsi mereka terhadap kegiatan ini. Metode penelitian yang digunakan adalah metode kuantitatif (deskriptif dan korelasional) dengan total sampling se...
The Cosine-Sine (CS) distribution with constrained support was recently introduced by Abd El-Bar et al., (2021). This model may exhibit increased and bathtub-shaped hazard rates. This model presents the distribution of dual generalized order statistics and characterization findings using truncated moments. We also provide many traditional methods f...
This book presents historical and sociolinguistic data analysis on Mexican Spanish as spoken and written in the twentieth century.
This workshop aims to explore and foster cutting-edge applications of Artificial Intelligence (AI), Data Analysis Methods, Data Visualization, and other innovative techniques across all fields of Economics.
We have extended the submission deadline for the EconomIA 2025 workshop to January 31, 2025. Don't miss this opportunity to share your resear...
This editorial explores the transformative potential of artificial intelligence (AI) in identifying conflicts of interest (COIs) within academic and scientific research. By harnessing advanced data analysis, pattern recognition, and natural language processing techniques, AI offers innovative solutions for enhancing transparency and integrity in re...
paper introduces a mathematical model employing swarm optimization, inspired by collective
behaviour in nature, to tackle the complexities of multimodal biomedical image analysis. The
Multimodal biomedical representation refers to the integration of information from multiple
sources or modalities in the field of biomedical research or healthcare in...
The aim is to introduce the concept of entropy and its application to the selection of sample designs. Entropy is defined as a measure of uncertainty or amount of information. The applications of entropy in probability and statistics are explored, including inference, estimation, modelling, prediction and data analysis. Sampling design is also disc...
Die Bindung von Mitarbeitenden ist ein zentraler Faktor in Zeiten des Fachkräftemangels. Affektives Commitment, Job-Einbettung und der psychologische Vertrag spielen dabei eine entscheidende Rolle. Diese Konzepte beeinflussen nicht nur die Bleibeabsicht, sondern auch die Leistungsbereitschaft und Zufriedenheit der Beschäftigten. Diese Studie unters...
Advanced Multivariate Control Charts (AMCC) represent a significant evolution in statistical process control, offering enhanced monitoring of processes with multiple interrelated quality characteristics. This article reviews the theoretical underpinnings, mathematical derivations, and practical applications of AMCC. We discuss the advantages of the...
This study deals with Stylistic point of view on the use of language devices in analyzing a song. It concerns with the elements of style in different levels of stylistic; phonetic, phonology, graphology, grammar and lexis. The data is taken from the song 'Don't Sleep Away' sung by Daniel Sahuleka. The method of data analysis is through descriptive...
ABSTRAK Penelitian ini bertujuan untuk menganalisis pengaruh teknologi digital terhadap efisiensi operasional jasa dengan menggunakan metode penelitian kuantitatif dan studi literatur yang mencakup 30 referensi jurnal dan buku. Analisis data dilakukan menggunakan metode SWOT untuk mengetahui kekuatan, kelemahan, peluang dan ancaman penggunaan tekno...
Enterprise solutions are entering a new stage because of artificial intelligence advancements, with Large Language Models (LLMs) leading this technological evolution. Cohere Enterprise LLM Platform delivers businesses a powerful natural language processing solution which integrates with existing enterprise systems, delivers advanced data analysis f...
Heart diseases have been among the major causes of death all over the world. It’s
really important to find heart failure in early stages. If we can identify it in early
stages, we can take action to prevent it from causing serious problems or even death.
So, spotting it early and acting quickly can save lives. Startups are using data and
machine le...
Accurate and fast characterization of nanostructures using spectroscopic ellipsometry (SE) is required in both industrial and research fields. However, conventional methods used in SE data analysis often face challenges in balancing accuracy and speed, especially for the in situ monitoring on complex nanostructures. Additionally, optical constants...
This study leverages machine learning (ML) techniques to assess the impact of CEO characteristics on the international performance of firms. Analyzing data from Chinese listed companies between 2008 and 2021, this study evaluates 14 ML algorithms and identifies the random forest model as the most effective. Additionally, the SHapley Additive exPlan...
This study aims to analyze the influence of career development and compensation on turnover intention among Generation Z in Indonesia. The high turnover intention phenomenon within Generation Z has impacted company sustainability. This study examines the relationship between career development, compensation, and the intention to leave a job among y...
Process mining is established as a central concept in BPM which helps organizations get an insight of their activities, processes, and operations. Process mining on the other hand uses event logs and data analysis to promote efficiency and reveals process inefficiencies and its various issues. This paper aims to discuss process mining in the contex...
Initial Public Offerings (IPOs) have long been a focal point in financial research, attracting significant academic and practical attention. This study examines the pricing efficiency of IPOs across various industries and sectors in China’s A-share market by analyzing data from 2,846 companies listed between January 2014 and July 2024. Using the St...
This study aims to prove that religious moderation is an important and urgent matter among students. Religious moderation will be seen in relation to multicultural education and Pancasila student profile. This study was conducted at Karitas Tomohon Catholic High School with 205 students as respondents. This study is a causality study using a quanti...
Teacher-student interaction is critical for providing learners with support and maintaining effective communication during the teaching process. The online teacher-student interaction mode, has posed challenges to the effectiveness of online classes. However, how to conduct effective interaction in online classes to improve learning outcomes remain...
Analyzing and extracting effective words of news feeds are critical tasks. News making sources may feed their news articles in different manners based on their own perspective. In this situation, finding likelihood samples from the vast news feeds is an essential task. Moreover, acquiring optimal word deviations, news varieties, sentiment metrics,...
Antecedentes: La diabetes mellitus es una enfermedad crónica que se caracteriza por descontrol de los picos de glucosa en la sangre. Una buena función familiar se traduce en el apoyo que ofrece la familia al paciente y es el principal recurso de promoción de salud, prevención de la enfermedad y sus daños. Objetivo: Correlacionar la funcionalidad fa...
Introducción: La Lista de Verificación de Cirugía Segura (SSC) es una herramienta para garantizar la seguridad del paciente durante los procedimientos quirúrgicos y su adecuada implementación recae en gran medida en el personal de enfermería. Objetivo: Evaluar el nivel de conocimiento y aplicación del SSC por parte del personal de enfermería del se...
This study aims to determine the accuracy of narrative text translation by using Google Translate Application and to describe translation techniques which are used by the translator in translating source text (ST) into target Text (TT). This research is a qualitative method that uses descriptive research approach to analyze the accuracy of narrativ...
Are you searching for a powerful tool to transform your data analysis experience? Look no further! Julius AI is here to revolutionize the way you interact with your data. Whether you're a business owner, data analyst, or just someone who loves working with numbers, Julius AI is designed to make data analysis simple, efficient, and impactful. In thi...
Artificial intelligence has the potential to revolutionize various aspects of forensic nursing, including evidence collection, analysis, and decision- making. The advent of artificial intelligence has brought about a significant transformation in various fields, including healthcare and nursing. In the realm of forensic nursing, AI has the potentia...
Problem statement: Even though the dearth of water has long been a permanent challenge in Iran, a large majority of Iranian cities have managed to survive by harvesting underground water through the Qanat system. All these cities share some special features in terms of urban morphology and their traditional water infrastructures have influenced the...
Meta-analyses are powerful tools to synthesise the literature in several fields of study, including ecology and evolution. However, it remains uncertain whether ecologists and evolutionary biologists fully comprehend meta-analyses’ findings or effectively apply them when citing these studies in their own research. Here, we first discuss key meta-an...
This research examines the application of dynamic anomaly detection models in improving business process security within ERP systems. By utilizing real-time data analysis and machine learning techniques, the framework can identify security threats, inefficiencies, and operational irregularities in ERP-driven business processes. The dynamic detectio...
According to instructors who increasingly feel that students are losing interest in their studies and their awareness of their authority, a teaching-learning process would not be considered efficient and effective if it consisted solely of the transfer of knowledge without appropriate reception. The aim of this study was to determine the factors th...
This study investigates the correlation between parts suppliers’ business dependence on their customers and the timing of their subsequent actions regarding customers’ foreign direct investment (FDI), a relationship that has not been empirically examined in previous studies. We focus on the Japanese automotive industry and explore how parts supplie...
Context: Advancements in the field of exoplanetary research have extended radial velocity (RV) observations from the optical to the near-infrared (nIR) domain. M dwarf stars, characterized by their lower masses and higher prevalence of rocky planets, have become a focal point of investigation. This study uses data from the near-infrared spectropola...
This research aimed to understand the work of teacher leaders and how they demonstrated their leadership roles. • Nine graduate teachers leaders with at least 7 years of experience working in primary schools. • Used mixed method: Questionnaires were used for collecting and data analysed by using a descriptive statistical analysis in excel. • Then,...
A useful approach to exploratory functional data analysis is to work in the lower-dimensional principal component space rather than in the original functional data space. I demonstrate this approach by finding anomalies in age-specific US mortality rates between 1933 and 2022. The same approach can be employed for many other standard data analysis...
In the ever-evolving technological landscape, businesses strive for solutions that offer adaptability, scalability, and enhanced performance. Integrating Artificial Intelligence (AI) into Enterprise Architecture (EA) is one such strategy that promises to revolutionize how organizations manage their IT infrastructure and software systems. This artic...
The X platform began with microblogging but now diversifies to provide more financial and communication-related services. From Ja Loka's discourse on X, the study analyzes how embodied metaphors, which brainstorm the connection between the concrete and the abstract domains are manifested in the digital sphere. This research analyzes the COGNITIVE P...
A financeirização é a configuração atual do capitalismo e os bancos são protagonistas neste processo, pois os juros se caracterizam como a renda desse sistema, sendo o regime incentivado pelo Estado que interfere diretamente com a desburocratização do acesso ao crédito, empurrando o cidadão para o financiamento para ter acesso à moradia. Assim, a p...
This research aims to develop multimedia-based interactive module teaching materials. This research uses the method Research and Development (R&D), a 4D model developed by Thiagarajan, Semmel, and Semmel which includes the definition stage, design stage, development stage and deployment stage. Data was collected from the assessments of 5 experts th...
This study aims to explain students' behavior in accessing the kalam.umi.ac.id learning platform and its impact on student academic performance. It analyzes data collected from students' access to the platform during 12 sessions in one semester for the Islamic communication subject taught by Professor Surani. The data includes students' access time...
In today's data-driven world, organizations are increasingly reliant on predictive modeling to gain actionable insights and drive strategic decisions. This paper explores the potential of unlocking data-driven insights through the identification and analysis of underlying data patterns. By leveraging advanced techniques such as machine learning, st...
This research aims to analysed the influence of income and knowledge on customers interest in investing in gold at PT Pegadaian Sidareja. Gold investment is a popular choice among people as a means of protecting asset values from inflation. However, customers interest in investing is not only influenced by economic factors, but also the knowledge t...
Medical time series are often irregular and face significant missingness, posing challenges for data analysis and clinical decision-making. Existing methods typically adopt a single modeling perspective, either treating series data as sequences or transforming them into image representations for further classification. In this paper, we propose a j...
This study aims to analyze how the planning of the Education strategy management system to improve quality at SMP Negeri 1 Rowosari, Kendal Regency. The research method used by the researcher is qualitative descriptive data analysis with a case study approach through interviews, documentation, observation with the principal and one of the teachers...
A trombose venosa profunda (TVP) é uma condição clínica comum, com risco significativo de complicações graves, como embolia pulmonar e síndrome pós-trombótica. O tratamento padrão para a TVP tem envolvido o uso de heparina e anticoagulantes orais tradicionais, como a varfarina. No entanto, os anticoagulantes orais diretos (DOACs), como edoxabano, t...
ABSTRACT
Background: Non-ablative erbium laser has become one of the newly proposed treatments for various female pelvic
floor disorders.
Objective: To determine the effect of non-ablative erbium YAG (Er:YAG) laser treatment for colorectal anal disorders in
women with mild and moderate pelvic organ prolapse (POP).
Method: This was a retrospectiv...
attended Online Workshop on Regression Tests and Data Analysis using SPSS (29th January-02 February, 2025) organized by the LekSha Research Centre, Gandhinagar, Gujarat.
The article explores various types of information systems used for
managing educational institutions, focusing on their functionalities and
benefits. Particular attention is given to learning management systems,
administrative platforms, and data analytics tools that enhance
operational efficiency and decision-making.
Keywords: information systems,...
Organizations study their existing and potential customers when developing marketing strategies for assuring that customers are satisfied comparatively better than competitors. Main purpose of this study is to analyze the customer orientation of the Sri Lankan banking sector. Researcher adopted quantitative methodology and structured questionnaires...
We analyze call center data on factors such as agent heterogeneity, customer patience and agent breaks. Based on this, we construct different simulation models and compare their performance with the actual realized performance. We classify them according to the extent in which they accurately approximate the service level and average waiting times....
Modern data analysis often involves massive datasets with hundreds of thousands of observations, making traditional inference algorithms computationally prohibitive. Coresets are selection methods designed to choose a smaller subset of observations while maintaining similar learning performance. Conventional coreset approaches determine these weigh...
This study reveals the definition of human resource management by examining definitions proposed by various theorists and attempting to arrive at new definitions. Previous studies have identified several benefits that can be achieved through the use of human resource management within an organization. In this study, partial least squares structural...
This study is conducted to consider the approaches to politeness theories (The Classical Approach and The Discursive Approach). It exclusively introduces these two approaches and comprehensively informs when they are proposed, who the concerned linguists are and how are they criticized and progressed. This paper consists of three sections, which ar...
The term ‘statistics of social phenomena’ should be seen as a synthesis of two
terms: “statistics” is a science that studies methods of collecting, processing and
interpreting data to identify patterns in various phenomena and processes; “social phenomena” are processes that occur in society and reflect the
interactions between people. Based on the...
We introduce Φ-Space ST, a platform-agnostic method to identify continuous cell states in spatial transcriptomics (ST) data using multiple scRNA-seq references. For ST with supercellular resolution, Φ-Space ST achieves interpretable cell type deconvolution with significantly faster computation. For subcellular resolution, Φ-Space ST annotates cell...
The Sebiduk Sehaluan Welcome Dance is a dance that is performed in groups. As a form of honor and respect for the guest of honor who came to Martapura, East OKU Regency, this dance is a form of joy and respect for the arrival of the guest of honor from the local community to the Bumi Sebiduk Sehaluan area. This research aims to evaluate the aesthet...
The rapid advancement of Artificial Intelligence (AI) is reshaping industries, including education, where its impact is increasingly evident in teaching methodologies, learning environments, and administrative processes. This paper explores the evolving role of teacher training and professional development in the context of AI integration. It discu...
This study presents a checkerboard data analysis approach using a Hill function (y = 1/(1+(x/K) ⁿ ) to fit each column and row of checkerboard assay data. Column fits give a K (MIC) value in units of row concentration for each column antibiotic concentration (MIC_row vs [Col]), and row fits give an MIC_col value for each row antibiotic (MIC_row vs...
This study aims to determine and analyze the influence of the implementation of the Team Games Tournament (TGT) type cooperative learning model on increasing the activeness of 5th grade students at State Elementary Schools. Banyuagung III , Surakarta. The approach used is an experiment with data collection methods in the form of observation, docume...
Despite extensive research on the impact of health factors and sleep, the specific association between average daily sleep duration and the prevalence of gallstones in adults has not been thoroughly investigated. This study analyzes data from 7,441 individuals from the NHANES 2017–2020 dataset, using exclusion criteria to refine the participant poo...
Self-employed workers worldwide encountered significant mental health challenges during the COVID-19 pandemic. Nevertheless, it remains unclear whether the pandemic has affected the mental health of the self-employed more significantly than employees. To address this question, we analyzed data from more than 4,000 self-employed individuals across t...
It is well established that founder gender affects starting and managing new ventures, but its impact on firm exits is less understood. Following an in-depth exploration of the gendered experience of entrepreneurship through the lenses of liberal feminist and social feminist theories, this study argues that female entrepreneurs are less likely to a...
This research is motivated by the low motivation of students in learning lace which makes student learning outcomes low. This study aims to see the relationship between learning motivation and student learning outcomes in learning Lace at SMK N 8 Padang.This study uses correlational research. The population in the study were all students majoring i...
The paper focused on Business Management Students and looked at self-efficacy in the context of gender. Entrepreneurial self-efficacy is a construct that assesses a person's belief in their ability to execute on the many skill requirements required to undertake a replacement enterprise. This paper's goals are founded on entrepreneurial abilities an...
Patients with posttraumatic stress disorder (PTSD) usually have other psychiatric comorbidities. This study analyzed data from a national survey in Japan (N = 1,005 trauma-exposed adults) and examined co-occurring dissociation and substance abuse in patients with probable PTSD. Participants completed standardized screening measures of PTSD, dissoci...
This research aims to explore and analyze the relationship between academic supervision and teacher performance discipline at SD Negeri 26 Palembang. A quantitative approach using survey methods was employed in this research, where data was collected through questionnaires distributed to 16 teachers at SD Negeri 26 Palembang. The questionnaire meas...
The monumental architecture of Iran during the Achaemenid and Sasanian periods represents one of the world's most significant cultural and artistic achievements. This study focuses on the structural and aesthetic analysis of key monuments from these eras, examining architectural features such as structure, form, and ornamentation. The research adop...
As Unidades de Pronto Atendimento (UPA’s) inserem-se no nível intermediário de atendimento à saúde, entre as Unidades Básicas de Saúde e as unidades hospitalares. Configurando-se como uma unidade pré-hospitalar do Sistema Único de Saúde (SUS). Essas possuem por objetivo serem resolutivas momentaneamente na sintomatologia da população e por terem co...
A search for a light charged Higgs boson produced in decays of the top quark, $$t \rightarrow H^{\pm } b$$ t → H ± b with $$H^{\pm } \rightarrow cs$$ H ± → c s , is presented. This search targets the production of top-quark pairs $$t\bar{t} \rightarrow Wb H^{\pm } b$$ t t ¯ → W b H ± b , with $$W \rightarrow \ell \nu $$ W → ℓ ν ( $$\ell = e, \mu $$...
This study aims to analyze the influence of communication, work systems, and motivation on employee performance at PT. Bali Kado Johor. The company, established in 2018, operates as a retail business with several outlets in Medan City. The research employs a quantitative approach with data analysis conducted using SmartPLS. The findings indicate th...
Black and Latine parents play a crucial role in shaping adolescents’ math and science motivation and science, technology, engineering, and math (STEM) course taking. However, providing extensive support across various behaviors may not always be feasible nor optimal. Analyzing data from 4,230 Black and Latine families (47% Latine, 46% Black; 50% gi...
Pangkalan Susu is the second largest contributor of fishermen from nine sub-districts in Langkat Regency. The diversity of fish in Pangkalan Susu illustrates the wealth of fish in sea obtained from fishing efforts carried out by fishermen at the high demand of the community. This study aims to analyze the diversity of fish species caught in the Pan...
Background: Optimal radiotherapy doses for Merkel cell carcinoma are unknown. Methods: After a PubMed literature search, we analyzed data by Equivalent Dose in 2-Gy fractions (EQD2). Results: 939/949 data were evaluable: 728/939 (77.5%) presented with localized disease, of which 171 were irradiated alone, with a median primary EQD2 of 50 (14.0-72.0...
Organizations revolutionize financial decision-making management through cloud-based integration of Financial Planning and Analysis (FP&A) solutions. Cloud-based technologies deliver real-time data access and process automation and superior forecast capabilities which reshape modern financial operations. This analysis evaluates how cloud-based FP&A...
Many practical applications in topological data analysis arise from data in the form of point clouds, which then yield simplicial complexes. The combinatorial structure of simplicial complexes captures the topological relationships between the elements of the complex. In addition to the combinatorial structure, simplicial complexes possess a geomet...
We revisit a minijet model to examine the behavior of the total cross section, $\sigma_{tot}$, and the ratio of the real to imaginary parts of the scattering amplitude, $\rho$, at high energies. In this framework, the growth of $\sigma_{tot}$ in $pp$ and $\bar{p}p$ channels is driven by semihard partonic processes dominated by gluon interactions. T...
Human height prediction based on genetic factors alone shows positive correlation, but predictors developed for one population perform less well when applied to population of different ancestries. In this study, we evaluated the utility of incorporating non-genetic factors in height predictors for the Han Chinese population in Taiwan. We analyzed d...
With the wide access to data and advanced technologies, organizations and firms prefer to use data-based and interpretable analytics to deal with uncertain and cognitive decision-making problems. In this regard, this study considers quantitative data and qualitative variables, to propose a multi-dimensional decision framework based on the nested pr...
التحول الرقمي في الموارد البشرية هو عملية استخدام التكنولوجيا لتحسين إدارة الموارد البشرية وزيادة كفاءتها. تتبنى شركات مثل IBM استراتيجيات رقمية متقدمة تتضمن الذكاء الاصطناعي التقنيات السحابية وتحليل البيانات لتحسين عمليات التوظيف وتقييم الأداء وتطوير المهارات. ويساهم هذا التحول في تعزيز تجربة الموظفين من خلال منصات رقمية تفاعلية تسهل الوصول إلى ال...
The problem of data redundancy in distributed storage has become increasingly pronounced, posing significant challenges for the estimation of target variables. This study introduces a distributed redundant data estimation method that employs the LIC criterion. Through simulation, the method's predictive accuracy is rigorously estimated, and its sta...
This research intends to assess the existing performance of farmers’ association for water users (P3A). Commonly, the activity of irrigation management is started from the stages of design, construction until operation and maintenance, it is needed the collaboration and participation of P3A that is spreading in the Malang Regency. The methodology c...
Chulalongkorn University Language Institute (CULI) test was developed as a local standardised test of English for professional and international communication. To ensure that the CULI test fulfils its intended purposes, this study employed Kane’s argument-based validation and Rasch measurement approaches to construct the validity argument for the C...
The production, distribution of the counterfeit drugs are the major issue in today's world. These drugs create a big economic crunch in today's economic world. The major concern now days the counterfeit of drug is increasing day by day. Counterfeit refers to the fake medicine which is now increasing. In 2020 where all the countries are suffering fr...
This study explores the use of machine learning models in drug classification, focusing on their effectiveness in predicting drug types based on features such as age, sex, blood pressure, cholesterol levels, and other health indicators. Because of improvements in data analysis, machine learning models are now able to classify drugs more accurately...
A central objective of topological data analysis is to identify topologically significant features in data represented as a finite point cloud. We consider the setting where the ambient space of the point sample is a compact Riemannian manifold. Given a simplicial complex constructed on the point set, we can relate the first homology of the complex...
Employee performance is very important to achieve a knowledge based and competitive economy. The form of business and company to improve employee performance is by strengthening work life balance, organizational culture and increasing motivation. Related to this, it is necessarary to conduct research on work life balance, organizational culture and...
The purpose of this study is to determine the efficiency of the use of fertilizer production factors in cayenne pepper plants in Lambuya Village, Lambuya District, Konawe Regency. This research was carried out in Lambuya Village, Lambuya District, Konawe Regency. Sampling uses the census method, which is to take a total sample of 30 people. The dat...
This study describes the relationship between motivation and student learning discipline towards learning outcomes in the lathe subject. The purpose of this study was to determine the relationship between motivation and learning discipline towards learning outcomes in the lathe subject of class XI students of Mechanical Engineering at SMK Dhuafa Pa...