Analysis Procedure Research Articles

Automatic mass balancing of spacecraft attitude simulators by optimal feedback control

There is an increasing interest in development of spacecraft attitude simulators. A necessary and challenging task in preparation for any attitude control experiment is to remove the gravitational disturbances on the simulator by a mass balancing system which relocates the center of mass to coincide with the center of rotation. This research is aimed at filling a substantial gap in the literature by presenting a methodical framework for analysis and design of closed-loop automatic mass balancing systems. In this regard, a state-space representation for imbalanced dynamics of attitude simulators is derived to enable the application of modern control techniques to the problem which will be shown to be very effective in achieving an accurate balancing. The model is further enhanced by state augmentation and incremental control input to address the practical requirements for an efficient balancing strategy. Next, an optimal feedback control is designed on the enhanced dynamics model to minimize the rotational kinetic energy and leveling accuracy as key performance measures of the problem. The simulation results and comparative evaluations with a previously validated method verified that the proposed modeling and control approach is effective in achieving an accurate mass balancing while providing a convenient and methodical analysis and design procedure.

IMPLEMENTATION OF THE PRISM SURVEY FORM TO CREATE SEISMIC RISK MAPS

This study details a seismic risk assessment of stone and adobe masonry structures in the Agios Dometios Municipality, Nicosia, Cyprus. The study integrates field inspections using the PRISM survey form, designed exclusively for masonry buildings, with advanced analytical procedures. The initial phase involves comprehensive field inspections to evaluate the structural condition and vulnerabilities of these historic masonry buildings. The data gathered from these inspections provide essential insights into potential seismic risks. This data, alongside fragility curves generated from 3D finite element (FE) models using nonlinear time-history analysis, informs the creation of seismic risk maps for Agios Dometios. These maps offer a comprehensive depiction of the area's seismic vulnerability, particularly concerning the masonry structures, serving as invaluable resources for local authorities and conservationists in strategizing preservation and reinforcement measures, and in formulating mitigation plans. This study's approach, blending field inspections with advanced computational analysis, provides a robust framework for assessing the seismic risks of masonry structures. It holds significant implications for preserving architectural heritage in seismically active regions, offering a model that can be replicated in similar urban contexts.

Concurrent validity and test–retest reliability of VALD ForceDecks' strength, balance, and movement assessment tests

ObjectivesTo evaluate the concurrent validity and test–retest reliability of common movement, strength, and balance tests using portable uniaxial dual force plates. DesignRepeated measures cross-sectional study. MethodsSixteen healthy individuals participated in two testing sessions, where they performed 12 different movement, strength, and balance tests. Vertical ground reaction force and centre of pressure data were collected using the VALD ForceDecks simultaneously with ground-embedded laboratory force plates. Concurrent validity was assessed using root mean square error for raw time-series data and Bland–Altman plots for discrete metrics. Test–retest reliability was assessed using intraclass correlation coefficients and minimal detectable changes. ResultsForceDecks recorded vertical ground reaction forces and center of pressure with high accuracy compared to laboratory force plates. The mean bias between systems was negligible (<2 N or 0.1 mm), with small limits of agreement (<5 N or 1 mm). Overall, 530/674 (79%) showed good or excellent validity (<10% difference) and 611/773 (79%) had good or excellent reliability (intraclass correlation coefficient >0.75). ForceDecks reliability was similar to laboratory force plates (<0.07 intraclass correlation coefficient median difference for all metrics). ConclusionsPortable uniaxial force plates record highly accurate vertical ground reaction forces and center of pressure during a range of movement, strength, and balance tests. The VALD ForcDecks are a valid and reliable alternative to laboratory force plates when strict standardized testing and data analysis procedures are followed. Users should be aware of the validity and reliability characteristics of the tests and metrics they choose.

The effects of user- and marketer-generated content on customer satisfaction: A textual analysis approach

Online reviews and management responses are important user-generated content (UGC) and marketer-generated content (MGC) in social media platforms, which directly reflect the customer’s and merchant’s feedback on a specific consumption and may further affect customer satisfaction. However, as the targeted feedback to UGC, the impact of MGC and the total impact between UGC and MGC are still understudied. In this work, we proposed a systematic analysis procedure for unravelling the impacts of online catering UGC and MGC on customer satisfaction in-depth. By studying the collected 130,412 review data from a leading online catering review website in China, we empirically extracted several new UGC topics using a topic model, thereby expanding the customer value factor set from previous literature; we also quantitatively analyzed their effectiveness in explaining customer satisfaction. We further integrated the UGC and MGC, and causally elaborated upon the usefulness of targeted responses in customer relationship management through difference-in-difference (DID) analysis. The findings validated that the effectiveness of management response on customer future satisfaction is relatively limited compared to the impact brought by the rating variables in UGC, but targeted management responses can perform more effectively in improving customer satisfaction. In addition, moderation roles based on the consumption price and the subjective emotional tendency of customers revealed in the textual comments were also investigated. Thus, this study helped to form a comprehensive understanding of customer satisfaction by contributing to a better quantification of customer value factors and understanding of the influence mechanism for customer satisfaction through the integration of UGC and MGC. Several managerial implications for optimizing customer relationship management in online catering markets were also provided.

Simulation of controlled modulus column installation using a large deformation finite element analysis

Controlled modulus columns (CMC) are widely used in ground improvement techniques where grout columns are constructed by penetrating an auger into the ground using the displacement approach. Numerical simulation of this problem is challenging owing to the large soil deformations associated with installation. Small strain-based finite element analysis procedures available in commercial finite element modeling software are unsuitable for simulating this problem because they cannot simulate large soil deformations around the auger during column installation. Hence, this study presents a numerical approach based on the finite element method to simulate the installation of CMCs. The numerical modeling technique adopted in this study considers large soil deformations around columns during penetration, and the proposed approach is based on remeshing and interpolation techniques. This method was developed using the Python development environment (PDE) within the ABAQUS/standard finite element program. It can penetrate columns below the ground surface without causing large mesh distortions. In this study, silty sand-type soil was considered; hence, the constitutive behavior was simulated using the Mohr–Coulomb criteria. The load-carrying capacity of a controlled modulus column was predicted and compared with an empirical equation based on the cone penetration resistance. The influence zone and failure mechanism of the soil during installation were determined by considering the stress distribution and soil flow pattern around the column.

Blue Ocean Strategy in the Soccer Sector: A Real Madrid Case Study

The present study aims to analyze the management actions adopted by the Real Madrid club through the lens of the Four Actions Framework of the Blue Ocean Strategy. It is a systematic literature review using the methodology Methodi Ordinatio and employs content analysis as the analytical approach. Searches were conducted in the Web of Science, Science Direct, and Scopus databases in May 2023. The research portfolio included 19 articles. The analytical content analysis procedure was carried out using NVivo Pro 14 software. Applying the Blue Ocean Four Actions Framework provided insights into Real Madrid's management strategies and business success. The findings illuminate various aspects of Real Madrid's operations, encompassing website structure, values, communication strategies, management approaches, financial performance, and areas for potential enhancement. Keywords: Blue Ocean Four Actions Framework, Real Madrid club de fútebol, management strategies, soccer club management.

Stress, hardiness and eating disorder symptoms in military academy cadets

ABSTRACT Eating disorders are a persistent and debilitating problem, especially among college age men and women. This problem is exacerbated in occupations such as the military, where maintenance of strict standards regarding weight, fitness and appearance is important for job retention and promotion. Also, previous research confirms that stress is a contributing element to eating disorders. It is thus important to identify factors that may assist individuals to remain resilient and avoid stress-related health and eating difficulties. The present study utilizes historical data to examine the impact of stress on health and eating disorder symptoms in a representative sample of West Point military academy cadets, while testing the role of gender and hardiness as stress moderators in this relation. A survey containing measures of stress, hardiness and eating disorders symptoms was completed by 387 cadets in the fall and spring of 2000–2001. Moderation effects were tested with advanced conditional process analysis procedures developed recently by Hayes (2022). Results show that hardiness was a significant moderator, with cadets low in hardiness showing increased eating disorder symptoms and more general health symptoms. While gender was not a significant moderator with respect to eating disorder symptoms, it was significant for general health symptoms; female cadets showed more stress-related health symptoms than their male counterparts. These results suggest that eating disorder symptoms in military academy cadets and college students more generally may be reduced through programs aimed at developing hardiness attitudes and stress coping approaches.

Motivation-Centred Innovative Coaching for Taekwondo and Karate Athletes in Yogyakarta and Bujumbura Cities

Martial arts coaching techniques that are research-evidenced create engaging and fulfilling training environments for athletes. This descriptive quantitative research investigated Taekwondo and Karate coaching practices focused on athletes' sports participation achievement motivation. The study includes 188 Karate and Taekwondo athletes (100 boys, 88 girls) from Yogyakarta and Bujumbura cities, selected through probability sampling method and simple random sampling techniques. The data collection instrument was a Sport Achievement Motivation Scale, adapted from the Achievement Motivation Scale. Data analysis procedure using Two-Way ANOVA with R program and descriptive statistics. Findings indicate significant differences in sport participation achievement motivation between Taekwondo and Karate martial artists from Bujumbura and Yogyakarta. In addition, motivational drives vary between male and female athletes, irrespective of country. The dominant motivational profile is Approach-Success in Training (MST), with 8 out of 14 agreed items falling within this dimension. Overall, athletes display an "Agree" level of sports participation achievement motivation (x̄ =-0.473 logits), highlighting the importance of motivational profile-centred coaching for enhanced success. These findings may guide Taekwondo and Karate coaches in tailoring methods and interventions to align with athletes' motivational profiles. Keywords: athletes, achievement motivation, martial arts, karate, taekwondo.

Forecasting the risks of man-made and ecological disasters

The paper provides the SWOT analysis procedure for forecasting and assessing the possibility of man-made and ecological disasters, the technology and intellect-card of the catastrophe risk assessment process. An expert system for operational assessment and forecasting of the scale of a radiation accident at the nuclear power plant is developed. An expert system, created considering a base of relevant knowledge, as well as current data (facts) from dosimeter monitoring posts located around the nuclear power plant, and meteorological information, is considered. It is concluded that such an expert system for assessing and forecasting the situation at a nuclear power plant in the event of an accident should be a standard tool at any nuclear power plant: its use allows to assess the environmental state and decision making quickly and with a high degree of reliability.

Virtual reality with e-learning model in business management and knowledge complex environment for gaming analysis

Nearly real-world experiences in a variety of industries may be had with virtual reality (VR) technology. Virtual reality (VR) settings are widely used, and as a result, a large quantity of data is being collected from them. The data-driven development paradigm must be advanced and analytical procedures must be created as the amount of data increases. There are several trends and possibilities that have emerged from integration of artificial intelligence (AI) as well as machine learning (ML) in business intelligence. Modern technology has completely changed how companies gather data, draw conclusions, decide. In order to analyse complex environments, this study uses gamification and virtual reality in business intelligence modelling for e-learning. Here, virtual reality-based e-learning is modelled for business intelligence, and gamification using reinforcement alexnet Q-kernel component neural networks is used to analyse the network’s complexity. Prediction accuracy, AUC, average precision, sensitivity, quadratic normalised square error are metrics used in experimental study. The evaluation’s findings demonstrate the usefulness of our solution for classifying and forecasting pay levels in the business sector, which in turn helps business analytics in intricate AI settings.

노인의 디지털 활용 교육 참여 경험

The purpose of this study is to examine of educational programs through the experience of the elderly who participated in digital use education. Interviews were conducted with 5 elderly people who participated in digital use education and analyzed by Qualitative Content Analysis and 4 step procedure of inductive content analysis. The results are as follows. 1) Factors that influenced the decision to participate in digital education(Positive assessment of education; Trust and social relations; Requires digital literacy). 2) Changes due to participation in digital education(Improvement in daily life; Positive social relationships; Accomplishment and confidence and anxious). Based on the study results, the following was proposed. 1) Education promotion and recruitment strategies using familiar spaces and fellow elderly. 2)Individualized, long-term education of small groups. 3) The important of teacher for elderly. 4) Consider social communication in educational activities and outcomes sharing.

Developments in DNA analysis and forensic procedures legislation: comparisons across Australian jurisdictions

ABSTRACT Forensic procedures legislation guides the collection and analysis of forensic material, including DNA, and the establishment of DNA databases. It requires the balancing of several competing interests, such as identifying and convicting those who commit criminal offences, ensuring that individuals in Australian society are not subjected to unlawful or unfair treatment, and preserving individual privacy and civil liberties. With increased data-sharing arrangements across jurisdictions, harmonising forensic procedures legislation becomes pivotal. Reviews published in 2003 and 2010 established the existence of discrepancies and inadequacies in the forensic procedures legislation of Australian jurisdictions. Since then, jurisdictions have made amendments to their own legislation that may further reduce the extent to which harmonisation exists across jurisdictions. This study, therefore, aimed to examine the legislative amendments made between 2010 and 2022 to the forensic procedures legislation of Australia’s Commonwealth, States and Territories and compare current legislation with that of the Commonwealth. The findings from the comparative analysis highlight key elements of current legislation that represent a significant departure from the protection of individual rights to privacy and civil liberties. The article then discusses the potential implications of these departures and suggests some directions for further research, legislative review, and critical analysis.

A novel hybrid database security management technique

Since the advent of the internet and the digitization of information, more individuals and organizations have gained access to the internet, leading to a significant expansion in the size of our database systems. These databases are relied upon for day-to-day activities by individuals and organizations. Furthermore, the advancements in technology have increased the vulnerability of database management systems and enforcing adequate database security measures is of paramount importance to individuals and organizations. In this study, we deployed a hybrid approach to database security system that integrates two techniques: dynamic time-warping algorithm and voice recognition methods. The implementation follows Object-Oriented Analysis and Design procedures, utilizing SQL Management Studio 2014 for the backend and ASP.NET C# for the frontend. Our hybrid approach demonstrates enhanced database security compared to previously employed authentication measures.

Analysis of Proximate, Functional, and Mineral Composition in Processed Black Rice (&lt;i&gt;Oryza sativa&lt;/i&gt; L. &lt;i&gt;indica&lt;/i&gt;) Flours: A Comparative Exploration

Black rice is utilised to make successful nutraceutical food products because of its high nutrient content. This study sought to determine the proximate compositions, functional compositions, and mineral compositions of processed black rice flour based on different processing methods (Raw, Soaked, and Roasted). The analytical procedures for the processed flours were designed using the standard methodology. The proximate analysis of processed black rice flour revealed a differentiation at (p&lt;0.01) in every parameter except the moisture content of raw and soaked flour. The functional properties of processed black rice flour range from 1.0 to 1.17 g/g for water absorption capacity, 2.21 to 2.43 g/g for oil absorption, and 1.8 to 2.2% for foaming capacity, with raw, soaking, and roasted black rice flour viscosities being 986.0 cP, 997.0 cP, and 951.0 cP, respectively. Bulk density ranged from 1.77 to 1.82 g/cm3. Compared to other processed flours, raw black rice flour greatly showed increased oil absorption and foaming capacity, whereas soaked black rice flour dramatically increased viscosity and bulk density. Raw black rice flour exhibited the highest composition of minerals (phosphorus, potassium, calcium, magnesium and iron) followed by soaked and roasted flours (p&lt;0.01). The roasted black rice flour contained the highest levels of sodium. The investigation's findings demonstrated that raw black rice flour outperformed other processed black rice flour in terms of several proximate, functional, and mineral aspects, proving to be appropriate for the creation of a range of novel food products with positive health effects.

The effect of data transformation on low-dimensional integration of single-cell RNA-seq

BackgroundRecent developments in single-cell RNA sequencing have opened up a multitude of possibilities to study tissues at the level of cellular populations. However, the heterogeneity in single-cell sequencing data necessitates appropriate procedures to adjust for technological limitations and various sources of noise when integrating datasets from different studies. While many analysis procedures employ various preprocessing steps, they often overlook the importance of selecting and optimizing the employed data transformation methods.ResultsThis work investigates data transformation approaches used in single-cell clustering analysis tools and their effects on batch integration analysis. In particular, we compare 16 transformations and their impact on the low-dimensional representations, aiming to reduce the batch effect and integrate multiple single-cell sequencing data. Our results show that data transformations strongly influence the results of single-cell clustering on low-dimensional data space, such as those generated by UMAP or PCA. Moreover, these changes in low-dimensional space significantly affect trajectory analysis using multiple datasets, as well. However, the performance of the data transformations greatly varies across datasets, and the optimal method was different for each dataset. Additionally, we explored how data transformation impacts the analysis of deep feature encodings using deep neural network-based models, including autoencoder-based models and proto-typical networks. Data transformation also strongly affects the outcome of deep neural network models.ConclusionsOur findings suggest that the batch effect and noise in integrative analysis are highly influenced by data transformation. Low-dimensional features can integrate different batches well when proper data transformation is applied. Furthermore, we found that the batch mixing score on low-dimensional space can guide the selection of the optimal data transformation. In conclusion, data preprocessing is one of the most crucial analysis steps and needs to be cautiously considered in the integrative analysis of multiple scRNA-seq datasets.

IMPLEMENTASI PENDIDIKAN INKLUSI PADA JENJANG PENDIDIKAN DASAR

Inclusive education at the basic education level is very important in order to optimize the development of children with special needs according to their potential. However, the implementation of inclusive education at the basic education level still experiences many problems. The aim of this research is to describe the results of research related to the implementation of inclusive education at the basic education level. The method applied in this research is a literature review of articles in Indonesian and English in 2019-2023 sourced from the Google Scholar search site, scopus.com and ERIC. Through an inductive analysis approach, a match of data was found related to the implementation of inclusive education in elementary schools so that 15 relevant articles were selected. The data analysis procedure was carried out based on a qualitative approach. Research findings show that inclusive education can be implemented at the basic education level by involving all elements of education and the school community to be able to provide education and services to children with special needs so that they can develop based on their potential and socialize normally with their peers in regular schools. The new path or recommendation which can be implemented is that implementing inclusive education at the basic education level requires dedication from all elements of education and the school community to create comfortable and friendly education for children with special needs.

Translation Equivalence Degrees among Indonesian EFL Undergraduate Students

PurposeThe way to produce an equivalent translation text appears hard that every translation work should engage with diverse language and cultural systems. The issues are expected to affect both translation students and professional translators. Therefore, this current work aims to discover in-depth information about translation equivalence degrees among Indonesian EFL undergraduate students.MethodThis study employed qualitative content analysis. The research data included documentation of the translation texts from English into the Indonesian language, which resulted in 22 students majoring in English education at a public university in Banten Province, Indonesia. The source language texts were derived from the news-item texts published in national newspapers. The data analysis procedure comprised comparing the two texts, classifying, discussing, drawing conclusions, and making interpretations. Results/findingsThe study of the translation texts revealed that 11 texts (50%) referred to near-optimal translation, six texts (27%) to partial translation, and five texts (23%) to poor translation.ConclusionGiven that none of the students' translation outputs achieved the optimal equivalency; this conclusion suggests that students' translation knowledge and skills still need to be improved by regular practice and discussion at each translation course meeting.

Zooming into qualitative research: online adaptation of the action-project method research design

ABSTRACT The Action-Project Method (A-PM) is a comprehensive qualitative research method guided by Contextual Action Theory, which has been successfully employed to study the goal-directed actions of dyads (e.g. parent-child pairs; couples). In this article, we discuss how we adapted the A-PM to successfully collect rich longitudinal qualitative data using remote video-based data collection procedures. After describing the A-PM in detail, we draw upon an example from a recent study which successfully implemented this methodology over a video-conference platform. Data collection and analysis procedures are described, as well as the methodological integrity of the A-PM. To facilitate consideration of the appropriateness of the remote methodological adaption to the A-PM, we discuss several practical strengths and limitations. Ultimately, we maintain that it is possible and viable to complete this method online. We hope to inform a new generation of researchers about the adaptability of the A-PM research design to remote data collection procedures.

STRESS, EQUIVALENT STRAIN AND DEFORMATION FOR MACHINING OPERATION UTILIZING EXPLICIT DYNAMIC ANALYSIS FOR VARIOUS MATERIALS

Subtractive and additive manufacturing methods constitute the two main categories of modern manufacturing technology used in the manufacturing sector. The subtractive method is used for material removal and is performed in (Brass, Aluminum and Teflon), the machining process is achieved using CNC (Computer Numerical Method) turn machine. The main objective of the paper is to perform FEA (Finite Element Analysis) over the three material (Brass, Aluminum and Teflon). The CNC machine is used to perform a machining over the three-material stated above, but within the CNC machine there is no provision for achieving the various values of (stress, strain and deformation) during the machining operation. During the machining process, it’s very difficult to get and accurate value of stress for the tool and raw (test) material, so Ansys FEA analysis method is adopted to predict the parameter like stress, strain and total deformation. The analysis part is achieved by the developing the CAD model using Solid work and FEA analysis using Ansys and thereby the output will be helpful to understand the various stress parameters. The results highlight that Teflon has a higher value for total deformation followed by aluminum and brass. The equivalent strain for the Teflon is higher and followed by brass and aluminum. The stress is acting in axial and compressive direction, so brass have a higher value followed by aluminum and Teflon. This method and analysis procedure can be adopted for understanding the deformation, stress and stain acting on any material, which will be highly useful for material of higher with a higher hardness value.

Distributional imputation for the analysis of censored recurrent events.

Longitudinal clinical trials for which recurrent events endpoints are of interest are commonly subject to missing event data. Primary analyses in such trials are often performed assuming events are missing at random, and sensitivity analyses are necessary to assess robustness of primary analysis conclusions to missing data assumptions. Control-based imputation is an attractive approach in superiority trials for imposing conservative assumptions on how data may be missing not at random. A popular approach to implementing control-based assumptions for recurrent events is multiple imputation (MI), but Rubin's variance estimator is often biased for the true sampling variability of the point estimator in the control-based setting. We propose distributional imputation (DI) with corresponding wild bootstrap variance estimation procedure for control-based sensitivity analyses of recurrent events. We apply control-based DI to a type I diabetes trial. In the application and simulation studies, DI produced more reasonable standard error estimates than MI with Rubin's combining rules in control-based sensitivity analyses of recurrent events.