Statistical Techniques - Science topic

The rapid advancement of autonomous delivery robots has led to their increasing presence in our daily lives, prompting the need for a deeper understanding of the factors influencing their psychological acceptance and societal integration. This research paper presents a comprehensive survey-based study that investigates the complex interplay between...

University students’ strikes reduce the number of lecture hours and interrupt learning instructions. Low performing students are significantly less likely to graduate after a strike. Persistent university students’ strikes may lead to low morals in both students and lecturers. Therefore, the study concentrated on relationship between university stu...

The researcher investigated relationship between political instability and academic achievement in Nairobi County, Kenya. The objectives of the study were to examine relationship between civil unrest and government- oppositional group conflicts, and academic achievement in Nairobi County, Kenya. The study employed correlation research design. The s...

In pursuit of a comprehensive understanding of Lean Six Sigma (LSS) adoption within Saudi Arabian maintenance companies, this research aimed to evaluate the prevalence of its utilization and gauge the level of comprehension among practitioners. Furthermore, this study sought to pinpoint the Critical Success Factors (CSFs) crucial for the effective...

Three earlier papers on the Shroud of Turin showed that ultraviolet induced fluorescence (UVIF) intensity is non-uniform over the surface of the Shroud. These intensity results were based on an analysis of UVIF photographic images taken in 1978 as part of a scientific investigation of the Shroud. In this paper the statistical technique, principal c...

Background: Dementia, marked by cognitive decline, is a global health challenge. Alzheimer's disease (AD), the leading type, accounts for ~70% of cases. Electroencephalography (EEG) measures show promise in identifying AD risk, but obtaining large samples for reliable comparisons is challenging. Objective: This study integrates signal processing, h...

This paper explores six widely used research methods in PhD studies: meta-analysis, Partial Least Squares Structural Equation Modeling (PLS-SEM) (Survey Data), empirical analysis (Panel Data analysis), bibliometric analysis, qualitative interviews and thematic content analysis, and mathematical and computational proof. Each method is systematically...

This study investigates the relationship between climate variability and the occurrence of waterborne diseases in Northern Brazil, analyzing hospitalization and death rates from 2010 to 2022. The research leverages secondary health and climate data, employing robust statistical techniques for ecological health studies. Results indicate a complex in...

Background: Muscular dystrophies are diseases of the muscle membrane or supporting protein. Clinical manifestation, genetic testing, muscle biopsy, and muscle imaging are used to diagnose them. DMD, is a severe X-linked recessive disorder, affecting 1 in 3500 live male births. This study aims to address the knowledge gap among young females about g...

The last decade has witnessed a notable surge in deep learning applications for the analysis of electroencephalography (EEG) data, thanks to its demonstrated superiority over conventional statistical techniques. However, even deep learning models can underperform if trained with bad processed data. While preprocessing is essential to the analysis o...

This study focuses on barriers and facilitators in distance education in higher education institutions with regard to access to technology, student engagement, and teacher preparedness. The research study was conducted with a quantitative method to collect data. The self-administered questionnaire was administered to 258 students and 70 faculty mem...

The COVID-19 pandemic has negatively impacted the world economy and global society. However, small- and medium-sized enterprises are among the most vulnerable and affected groups of businesses, and in some cases, life-saving interventions have resulted in serious existential implications. The difficulties of insufficient demand, non-negligible fixe...

Extractive Text Summarization is the process of selecting the most representative parts of a larger text without losing any key information. Recent attempts at extractive text summarization in Bengali, either relied on statistical techniques like TF-IDF or used naive sentence similarity measures like the word averaging technique. All of these strat...

This study examined the relationship between supply chain channel conflict management and marketing performance of agricultural products firms in Nigeria. Despite the increase in supply chain channel management conflict literature and the development of the nation’s agricultural industry, there seem to be few empirical research works on supply chai...

One of the modern trends of pedagogical approach is "transformative techno pedagogy” which motivates teachers to help pupils avail of opportunities that are based on "transformative techno pedagogy," it prepares pupils with logical thinking, critical & analytical thinking skills, as well as comprehensive understanding to build the potential to beco...

This current research analyzed the spatio-temporal trends and variability of monsoon season and month-wise rainfall for 26 tehsils in the upper Godavari basin (UGB) of Maharashtra, India. An attempt has been evaluated on rainfall data (1998-2023) obtained from the Department of Agriculture, Maharashtra. To assess the basic trends of the rainfall da...

The primary objective of the study is to investigate upon the moderating role of economic crisis perception upon the consumer attitude and consumer behaviour in the context of Sri Lankan consumers with special reference to FMCG offered by MultiNational Enterprises in Sri Lanka. Data was collected from 120 consumers of MNE FMCG through an online sel...

Identifying effective treatments and policies early in a pandemic is challenging because only limited and noisy data are available and biological processes are unknown or uncertain. Consequently, classical statistical procedures may not work or require strong structural assumptions. We present an information-theoretic approach that can overcome the...

In this work, a novel model for hourly PM2.5 time series imputation is proposed for the estimation of missing values in different gap sizes, including 1, 3, 6, 12, and 24 h. The proposed model is based on statistical techniques such as moving averages, linear interpolation smoothing, and linear interpolation. For the experimentation stage, two data...

The study presents a multi-faceted approach to prioritize sub-watersheds for catchment conservation, using morphometry, land use, and soil characteristics in a GIS-assisted framework. By integrating statistical techniques namely Principal Component Analysis for dimension reduction and CRITIC method, the study identifies the most influencing morphom...

Rock mass classification systems are crucial for assessing stability and risk in underground construction globally and guiding support and excavation design. However, these systems, developed primarily in the 1970 s, lack access to modern high-resolution data and advanced statistical techniques, limiting their effectiveness as decision-support syst...

This manuscript is based on two studies that investigate the process of social construction of time in the two versions of traditional sports game (TSG) known as Elbow Tag. The internal logic of this TSG has an original role-change system. Changing a rule in version 1 (V1) implies a major modification of the role system in V2. It is a mixed methods...

Health services are primarily social services. It is a significant aspect of socioeconomic growth. Primary Health Care (PHC) focuses on the comprehensive and interconnected facets of physical, mental, and social health and wellbeing while addressing the larger determinants of health. The study examines the geospatial distribution of PHC centers in...

The research is motivated by the phenomenon of many students struggling to adapt to the school environment. Self-adjustment is crucial for students, particularly in the 10th grade. Personality is one of the factors that influences self-adjustment. The research sample consisted of 187 X grade students from SMAN 1 Kubung, selected using the Simple Ra...

Financial resilience is the capacity of individuals to effectively mitigate the impacts of adversities by utilizing appropriate resources. Previous studies primarily assess financial resilience using an ex-post approach, evaluating resilience after a shock has occurred, causing additional stress for households. Conversely, ex-ante assessments rely...

This study investigates the effects of corporate governance, capital structure, and market volatility on corporate financial performance, utilizing secondary data across multiple industries. Corporate governance is assessed through board composition, ownership structure, and regulatory compliance, emphasizing its role in fostering transparency, acc...

The twenty-first century has brought about a paradigm shift across all sectors of the economy, and universities are no exception. Modern universities are involved in the increasingly complex tasks of both teaching and research, creating a highly competitive environment that places significant pressure on faculty members. This situation has been fur...

The poste titled **"Exploring the Influence of Statistics in Data Science"** emphasizes the critical role of statistics within the field of data science. It highlights how statistics underpin key processes such as data collection, cleaning, exploration, and model building. The work underscores how statistical techniques enable informed decision-mak...

Objective: This study examines the influence of warehouse location, transportation, and inventory on logistics distribution performance at Perum BULOG Madiun Branch, focusing on identifying key factors impacting operational efficiency in rice distribution. Methods: A quantitative approach was employed using a survey method. Data were collected via...

Esta investigación se centró en explorar la relación entre la autoestima, ansiedad y motivación matemáticas en estudiantes de precálculo de la Sede Metropolitana de la Universidad Latinoamericana de Ciencia y Tecnología (ULACIT), durante el primer cuatrimestre de 2024. Se analizaron posibles diferencias por género y área de estudio, para cada una d...

The majority of the consumers of radio stations’ programming are the youth, most of whom are students in high schools, colleges, and universities. Therefore, the main objective of this study was to examine the structure of FM radio talk shows listened to by university students in Eldoret town. Uses and Gratifications theory guided this study. The s...

Objectives: The primary objective of this study is to identify and examine the factors influencing the quality of work life (QWL) for MBA faculty members in Kerala, India. The study aims to assess elements such as workload, physical workspace, compensation, opportunities for advancement, flexibility in scheduling, recognition, decision-making parti...

Small and medium-sized enterprises (SMEs) play a crucial role in supporting the country’s economy. However, Spanish SMEs have not developed their full potential. It is thus essential for managers to seek and adopt better strategies to be more successful. In today’s turbulent environments, digital transformation strategy is considered an important s...

This study focuses on assessing the contamination of surficial sediments in the Shadegan International Wetland, southwest of the Persian Gulf, identifying heavy metal concentrations, evaluating pollution levels using multi-element indices, and determining pollution sources through statistical analyses. Sediment samples were collected from fifteen s...

In this paper, nonlinear system identification using Bayesian network has been implemented to discover open-loop lateral-directional aerodynamic model parameters of an agile aircraft using a grey box modelling structure. Our novel technique has been demonstrated on simulated flight data from an F-16 nonlinear simulation of its Flight Dynamic Model...

This service aims to increase the understanding and competence of MTs Muhammadiyah Tajurhalang teachers in preparing HOTS questions based on the independent learning curriculum. The method for implementing this service used participatory training, with the stages of giving a pretest on the HOTS concept, training material and practice in preparing H...

Objectives: This study aims to investigate the kinetics of starch processing by ptyalin, the enzyme responsible for initiating starch digestion in the mouth. Kinetic parameters such as Km and Vmax will be calculated from the Lineweaver-Burk plot, covering the surface layer of starch-ptyalin interaction and the maximum rate of enzymatic activity. Th...

Road construction and maintenance are key interventions that support economic potential in the country. However, the deplorable state of some roads in Nigeria, and in Cross River and Akwa Ibom states draws research concerns. This paper seeks to examine the impact of the Niger Delta Development Commission Intervention on road construction and econom...

Historic inequalities among different income groups remain a contentious issue affecting neighbourhood sustainability, particularly in South Africa. Prior studies frequently focused on the separate influence of income and other variables of neighbourhood satisfaction, failing to thoroughly explore how these variables intersect and interact with one...

Part 1 of this paper explains the evolution of VC curves and summarises the most recent guidance. for medical and scientific research facilities containing sensitive equipment such as optical and electron microscopes that require a more stringent vibration criterion than human comfort thresholds, provided in the IEST's Recommended Practice (RP) 201...

For numerous years, human activities have involved modifying land to sustain basic needs like food which has brought various changes on the Earth's surface. Likuyani Sub County is endowed with good climatic conditions for farming and human settlements. The main cause is rapid population increase, which leads to the division of land into smaller and...

The increased integration of renewable energy sources (RESs), such as photovoltaic and wind turbine systems, in microgrids poses significant challenges due to fluctuating weather conditions and load demands. To address these challenges, this study introduces an innovative approach that combines Unscented Transformation (UT) with the Enhanced Cheeta...

In traditional decision-making methods such as AHP and DEMATEL, the determination of key parameters heavily relies on expert judgment, leading to issues of subjectivity and inconsistency. For instance, in supply chain management, subjective parameter selection can lead to suboptimal resource allocation, while in public policy formulation, it may re...

Road construction and maintenance are key interventions that support economic potential in the country. However, the deplorable state of some roads in Nigeria, and in Cross River and Akwa Ibom states draws research concerns. This paper seeks to examine the impact of the Niger Delta Development Commission Intervention on road construction and econom...

For effective and sustainable water management, assessing the water quality and identifying potential sources that threaten the river system are crucial steps. In the present study, spatiotemporal variation of 20 hydrochemical variables, water quality indices, and multivariate statistics were applied to evaluate the quality of Yamuna River water. I...

The study provides an in-depth analysis of COVID-19 infections in Kenya, aiming to model the non-linear trajectory of daily cases. The research explores two statistical techniques: fractional polynomials and linear splines, to fit the growth of infection rates over time. COVID-19, which first appeared in Kenya in March 2020, exhibited fluctuating t...

The current research explores the project outcomes in healthcare sector of Pakistan by assessing servant leadership and team dynamics in the context of Situational Strength Theory. This research model examines the effect of servant leadership on project success via intervention of team effectiveness. Moreover, it also incorporates the moderating im...

Forecasting travel demand requires a grasp of individual decision-making behavior. However, transport mode choice (TMC) is determined by personal and contextual factors that vary from person to person. Numerous characteristics have a substantial impact on travel behavior (TB), which makes it important to take into account while studying transport o...

An important health concern with chronic liver disease is early identification, which is essential for management and therapy. This work suggests an integrated method to identify tattoo-induced jaundice and forecast chronic liver disease by combining statistical feature extraction with machine learning techniques. First, we use statistical techniqu...

Suitable evaluation and monitoring of water resources is pertinent for understanding its hydrogeochemistry. This research, therefore, appraised the hydrogeochemical dynamics, surface water-groundwater interactions with rocks, and meteoric water in the lower Niger River Basin, Nigeria, using geochemical analysis, statistical techniques, and ratio pl...

Objective This study targeted elucidating the intricate correlation of the blood urea nitrogen (BUN)-to-albumin (BUN/Alb) ratio with adverse outcomes (AOs) at 3-month in acute ischemic stroke (AIS) cases within a Korean cohort. Methods The cohort involved a comprehensive dataset of 1850 AIS cases from a South Korean hospital, spanning from January...

Precipitation and temperature extremes from daily data indexed using the CLIMDEX methodology were calculated over the Central American region. The data comprises the coarsened versions of the Climate Hazards and Infrared Precipitation with stations (CHIRPs) and the corresponding data set for temperature (CHIRTs) from the year 1981 to 2020 and 1983...

The escalating impacts of climate change on global biodiversity constitute one of the most pressing environmental challenges of our time. This study employs a global survey to gather empirical evidence from a broad spectrum of biologists and ecologists, aiming to confirm the predicted impacts of climate change on biodiversity as theorized in founda...

This study explores the influence of saving motives on life insurance purchase decisions, with a focus on understanding the relationships between various motivational factors and consumer behavior in the life insurance market. Using a structured equation modeling (SEM) approach, the research investigates how different saving motives-such as retirem...

Al-Hoceima Bay, located on the northern coast of Morocco, holds significant environmental importance. It also faces environmental challenges, including the pressures resulting from urban sprawl and growing number of tourists, as well as the impacts of climate change. The objective of this study is to assess the coastal changes in Al- Hoceima Bay si...

This research examines the intricate connections among three key elements: an individual’s ability to tolerate sources of stress, their willingness to adapt to new situations, and various psychological factors that influence human behavior. To analyze these relationships, the study employs a sophisticated statistical technique known as partial leas...

The aim of this research is to examine the specific challenges that female entrepreneurs experience in the e-commerce industry, as well as the achievements of the female-owned company Nykaa and to explore the strategies used by Nykaa's owner to conquer challenges in the e-commerce industry. E-commerce is the vehicle through which a nation's economy...

Background One of the most promising approaches for early and more precise disease prediction and diagnosis is through the inclusion of proteomics data augmented with clinical data. Clinical proteomics data is often characterized by its high dimensionality and extremely limited sample size, posing a significant challenge when employing machine lear...

Background: Gestational diabetes mellitus (GDM) is defined by an insufficient insulin response to counteract the insulin resistance (IR) that arises from the physiological adaptations associated with pregnancy. However, the pathophysiology of IR is complex and unclear, as it encompasses elements such as epigenetics, environmental factors, modifiabl...

Background In unforeseen situations, such as nuclear power plant’s or civilian radiation accidents, there is a need for effective and computationally inexpensive methods to determine the expression level of a selected gene panel, allowing for rough dose estimates in thousands of donors. The new generation in-situ mapper, fast and of low energy cons...

The article examines the rising frequency of extreme weather events linked to global climate change, particularly noting an increase in flash floods and peak flow rates over the last decade. To conduct the analysis, mathematical and statistical techniques were employed, followed by field data collection and comparative calculations of the measureme...

Meteorological drought is one of the major natural hazards that affects the ecosystem of the Central Indian state of Chhattisgarh. This study delves into the analysis, comparison, and prediction of drought trends spanning the period from 1993 to 2023 in the study area. Employing a comprehensive methodology, utilization of the Modified Mann-Kendall...

Post-hoc analysis is a crucial statistical technique employed to identify specific group differences following a significant ANOVA result. This study delves into the comparative analysis of three commonly used post-hoc tests - Tukey's HSD, LSD, and Scheffe's method - to determine significant differences in radiation exposure levels among dental wor...

This study aimed to describe the morphological characteristics and age structure of a P. ridibundus population sampled from a high altitude. For this purpose, a total of 54 adult frogs (33 males and 21 females) were collected fromŞavşat district, Artvin province, Türkiye. The samples were aged based on skeletochronology method. Furthermore, von Ber...

“Bayesian Neural Networks in Predictive Neurosurgery” explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one’s own experien...

Modern methods of analyzing and protecting network infrastructure against DDoS (Distributed Denial of Service) attacks are discussed. A DDoS detection model has been developed using statistical techniques, which highlights the main stages of the attacks and key characteristics of network traffic that are crucial for detecting an attack. Potential a...

Meat preservation processes have been widely studied over time, especially those related to low temperatures (freezing and freeze‐drying); however, there is very little research that directly relates the effect of these processes on the structure of meat—and the main meat proteins—and how these changes affect some attributes of the final quality. P...

Multivariate Mendelian randomization (MVMR) is a statistical technique that uses sets of genetic instruments to estimate the direct causal effects of multiple exposures on an outcome of interest. At genomic loci with pleiotropic gene regulatory effects, that is, loci where the same genetic variants are associated to multiple nearby genes, MVMR can...

Challenges that pregnancy can have an impact on the asthmatic woman include; It has on the health of the woman as a mother and the health of the fetus. The objective of this study is to evaluate the demographic data, clinical features, complete blood count, biochemical markers of oxidative stress, immune response to asthma, and pregnancy outcome be...

This study aimed to assess farmers' knowledge and implementation of resource management practices in organic cotton cultivation in the study area. The study also aimed to identify the sources of information used by farmers for these practices, examine the relationship between farmers' knowledge of resource management practices and the studied varia...

Reservoir engineering is a critical discipline in the oil and gas industry, aimed at optimizing the extraction and management of subsurface resources. Traditionally, reservoir models have relied on static data and conventional simulation methods, which often fall short in capturing the dynamic complexities of reservoirs. With the advent of big data...