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The Tabuk province of Saudi Arabia (SA) has an arid zone, few aquifers, high groundwater salinity (seawater intrusion), and accelerated population, industrial, and agricultural development. The development of Tabuk Basin is essential for the addition of new freshwater resources and the enhancement of aquifer recharge potential. The hydrological characteristics of the drainage basin aid in the identification of watersheds, enabling the protection and management of land erosion and ground/surface water resources. This study analyzed hydro-morphometric data from the eighteen sub-basins of the Tabuk Basin using multivariate statistical approaches and coupled remote sensing (RS) and geographic information systems (GIS) for water priority determination. The results show that the four principal components (PC1-4) have a variance of 90.4% concerning bifurcation ratio (Rb), ruggedness number (Rn), elongation ratio (Re), drainage density (Dd), basin relief (Bh), circularity ratio (Rc), and relief ratio (Rh). The Al Ula, Thaibah, Hamd, Dama, Al Wajh, Al Ghamra, and Azlam sub-basins showed the highest priority, indicating soil erosion and the necessity for mitigating measures to reduce infrastructure damage. Most exposed geology (67%) exhibited strong permeability and good infiltration (sedimentary cover and Quaternary sediments). The rest (23%) showed low to medium permeability (igneous, metamorphic, and carbonate rocks). The best promising sites for building new wells can reduce surface runoff and soil erosion through aquifer infiltration and abstraction. The aquifer potentiality map was accomplished for Al Ula, Thaibah, Hamd, and Dama drainage basins. The most prospective groundwater investigation regions were identified, coinciding with the drilled wells that confirmed and validated the results. The estimated zones of high to very high aquifer potentiality were used to add additional wells for investment reduce soil erosion, mitigate alternatives, agriculture, urbanization, etc. The other sub-basins have a medium to low priority, with less soil erosion and aquifer recharge.

The importance of children's well-being to realize their potential is a hot topic that ignites intense focus in all societies, including parents, healthcarerelated scientists, and researchers related to health care. Although there are many studies related to physiological and mental health to promote children's health development, they might not be impactful due to the rapid change in modern living styles these days. This study examines eight demographic factors in detail: background, lifestyle, social and emotional skills, education, marriage, financial status, criminal history, and health, among young parents that could contribute to developing their children's health. Big data analysis is the novelty of this study, which cleaned and transformed the ICPSR big data set (42 data sets with more than 90,000 records), resulting in a 1323 sample size and 231 variables as input into the correlation analysis using SPSS. The result shows the detailed variables of each predictor that influence the health of young adults. Other researchers can use these results to explore more evidence-based solutions to comprehensively monitor the health of current and future generations by clarifying the root causes and effects of demography, as they are the most critical point of influence for their children. [ABSTRACT FROM AUTHOR]

This study explores the factors that affect healthcare personnel' safety culture in "Chinese Tertiary Traditional Chinese Medicine (TCM)" facilities to enhance the safety of patients and health care. The Chinese version of the "Safety Attitudes Questionnaire (CSAQ)", a survey tool was used to assess physicians' and nurses' patient safety attitudes was used to investigate this issue. This study employed the CSAQ, and 1377 questionnaires were distributed to three tertiary traditional Chinese Medicine hospitals. Respondents were medical personnel who submitted the survey through WeChat application. 461 surveys were deemed valid for analysis, resulting in a 33.48% response rate. Demographic characteristics were used as control variables in a "one-way ANOVA". The data structure was validated by utilizing confirmatory factor analysis (CFA). Subsequently, a linear regression analysis employing forward selection methodology was utilized to ascertain the predominant safety culture dimensions, also known as safety climate, that exerted the greatest influence. According to the CFA, 26 items in the CSAQ were assessed using six criteria about safety. The linear regression study showed that "working environment, teamwork climate, and job satisfaction" affect safety culture, particularly safety climate. [ABSTRACT FROM AUTHOR]

Egypt's Nile islands are regarded as a source of biological diversity and natural heritage. Two million people live on 63 of these islands, spread throughout 16 governorates and covering over 155.4 km2. They are included in the wetlands but treated as a single unit, neglecting their diverse characteristics (environmental, urban, economic, and social). By utilizing a Statistical Package for Social Sciences and a Geographic Information System, this paper aims to develop a method of classifying the Nile islands by designing criteria scales to determine their value. Research is essential in assessing the sustainability of urban and economic development on the Nile islands without conflicting with their protection. The research reached recommendations for protection goals by including uninhabited islands in the national strategic plan. It also prepared an endemic plant and animal species database. It is necessary to conduct a sub-classification process with more detail to make decisions regarding the most suitable sites for various development projects without ignoring the social aspect. [ABSTRACT FROM AUTHOR]

Statistical Office of the European Communities (Eurostat) ranks Albania sixth in Europe for fresh orange production in 2018, and the mandarin production was greater than the global and EU average yields, indicating a high-performing subsector. It is essential to examine the chemical composition of citrus fruits cultivated in Albania to fully benefit from their advantages, which was the motivation for this research. This study comprised four different groupings of citrus species (C. sinensis, C. limon, C. reticulata and C. paradisi) harvested in south Albania region. Among others, total polyphenol content (TPC), total flavonoid content (TFC), vitamin C content (VCC), and antioxidant activity were the focus of our analyses. SPSS and Sigma Plot statistical programs were used to analyse the data. The percentages of different biochemical components varied not only across species, but also between different citrus fruit tissues (Sigma Plot, ANOVA-Tukey test, p<0.05). Citrus paradise shows clearly a significantly high TPC compared to other citrus species. Our findings indicate the presence of a significant amount of bioactive compounds in citrus peel and pulp, making them ideal candidates for use in antioxidant-rich diets and the pharmaceutical industry. [ABSTRACT FROM AUTHOR]

Natural environmental radioactivity aroused mainly from primordial radionuclides such as 40K and 238U and 232Th decay series, and have been present in varying concentrations within the earth and in the tissue of every living being. Natural radioactivity can be found everywhere; in the soil, public water supplies, oil, and the atmosphere and it poses a measurable exposure to human beings. The present study developed a statistical model that can be used to predict the Terrestrial Gamma Radiation Dose rates (TGRD) based on soil types and geological formations irrespective of the environment. About 295 TGRD measurements were taken using a micro-Roentgen survey meter (model 19) manufactured by Ludlum, from different locations within the study area. Statistical Package for Social Sciences (SPSS) was utilized in establishing the relationships between TGRD with underlying geological formations and soil types as well as in the development of the model. The developed model was tested by predicting the TGRD value over different combinations of soil types and geological formations, and it was found to fit in well with more than 80% degree of accuracy which is within the acceptable limit. The developed model in this study, may help in establishing the background radioactivity levels in a terrestrial environment that can be used to evaluate any changes that may arise as a result of any release due to both natural and or human activities in a certain area. [ABSTRACT FROM AUTHOR]

MOOCs have grown in popularity in universities, but the agents that influence users' acceptance of MOOCs are little understood. The large and open nature of MOOCs puts the student in charge of their own learning. As a result, it is critical to comprehend learner behavior. The research is conceptually founded on the innovation diffusion theory (IDT), as well as knowledge management (KM) and the technological adoption paradigm (TAM). In theory, eight separate factors were discovered as contributing to perceived usefulness, as well as perceived ease of use toward attitude toward utilizing MOOC systems and MOOC use intention. A survey questionnaire based on the innovation diffusion theory (IDT), knowledge management (KM) components, and the technological acceptance model (TAM) was used to collect data from 284 university students who were randomly selected. SPSS and SEM-Amos were used for data analysis. The findings show that perceived technology fit, perceived enjoyment, perceived compatibility (PC), trialability (TR), observability (OB), perceived usefulness (PU), perceived ease of use (PEOU), and attitude towards using the system (MOOCs) are the most important predictors of university students' continued intention to use MOOCs (MOOCs). Through attitudes toward utilizing systems, perceived utility and perceived ease of use have an indirect impact on sustained intention (MOOCs). Both effort-perceived utility and perceived ease of use impact knowledge application, knowledge access, perceived technology fit, perceived pleasure, perceived compatibility (PC), trialability (TR), and observability (OB). Perceived compatibility (PC) has no bearing on perceived ease of use, while perceived technological fit (PTF) has no bearing on perceived utility. The findings will aid researchers and practitioners in better understanding university students' intentions to use MOOCs in the future. This study's ramifications and shortcomings are also discussed. [ABSTRACT FROM AUTHOR]

Under the macro context of severe global aging, the typical villages and dwellings of the Miao ethnic group in western Hunan were selected, and the daily life and health status of the local elderly were evaluated through behavioral observation, interviews, and questionnaires (e.g., physiological, psychological, and residential environments). In addition, the health status and relevant evaluation factors of the respondents were correlated and then analyzed using SPSS software. As indicated by the results of this study, the local elderly used all the spaces and functions of the existing dwellings and were satisfied with the spaces except for the toilet. In addition, their physiological functions had declined, and their daily behaviors were affected by a wide variety of physical diseases. From a psychological perspective, more than 60% of the elderly had significant feelings of loneliness and frustration. As indicated by the correlation results, the health status of the elderly in traditional Miao dwellings in western Hunan was positively correlated with family, income, daily acts, dwellings, and infrastructure, and negatively correlated with age. They showed linear correlations with all impact factors: Health = 157.44 − 5.242 ∗ Gender − 1.611 ∗ Age − 0.606 ∗ Education level − 0.411 ∗ Family + 0.001 ∗ Income − 7.191 ∗ Daily acts + 13.621 ∗ Dwelling + 4.682 ∗ Infrastructure + 17.198 ∗ Natural. Based on the results of study, targeted improvement strategies were proposed for the elderly in traditional Miao dwellings in western Hunan from four aspects—infrastructure, traditional dwellings, mental health, and policy support—to improve the health status of the elderly in traditional Chinese villages and towns. [ABSTRACT FROM AUTHOR]

Workers in the fireworks industry are affected mentally because of hazards that occurred in and around the working environment which caused injuries/fire accidents due to carelessness of workers and poor maintenance of rules and regulations by management. Primary data were collected from 451 workers in 25 fireworks industries randomly. A structured questionnaire is developed to measure safety culture in the fireworks industry in terms of dimensions like work environment, worker awareness, process, governance and safety satisfaction. This instrument is tested for purification of items in terms of stability by various statistical tests like reliability and validity in statistical software like SPSS and AMOS. This field-based study examines safety culture among workers in the fireworks industry to find the real scenario in the workplace and give recommendations for management to control accidents and fire or explosions to save the lives of workers. [ABSTRACT FROM AUTHOR]

The purpose of this study was to determine the risk factors that influence the decision to visit with the image of the destination as a mediating variable. A quantitative method for data processing using SPSS and AMOS - SEM software as instruments. The survey was conducted on 229 respondents who had visited Rawa Pening lake tourism, Central Java, Indonesia. The results obtained confirmed that the perception of cognitive risk and financial risk contributed greatly to the visit decision, either directly or through the mediation of cognitive attraction and effective image. While socio -psychological risk is less impactful even though it is through cognitive attraction and directly, the role of the affective image can bridge visitors to visit. The two mediators helped the community decide to visit this tourist area.

Inner boxmerupakan salah satu child partyang digunakan untuk proses packaging product di PT. Duta Nichirindo Pratama yang memproduksi bermacam-macamfilter sepertifilterudara,filterbahan bakar, filter oli dan cabin filter. Inner box yang dilengkapi dengan barcode bertujuan untuk mempermudah perusahaan dan konsumen dalam mendeteksi jumlah produk, nomor produk dan jenis produk yang dikemas pada inner box agar tidak terjadi kesalahan dalam penggunaannya. Dalam hal ini PT. Duta Nichirindo Pratama merancang suatu sistem untuk pengecekan barcode padainner boxsecara otomatis yang berbasis komputasi sepertiVisual Basic.Net , Arduino dan diagram Unified Modeling Language (UML). Sistem perancangan ini dimulai Juni 2019 pada line assembling, dari hasil perbaikan pengecekan barcode secara otomasis yang sudah berjalan maka perlu adanya penelitian terkait kenyamanan dan ke efektifitasan karyawan dengan mengukur tingkat validitas (nilai r hitung r tabel) dan reabilitas (nila alpha 0,60 ) penggunaan auto scaner barcode pada inner box menggunakan Software Statistical Programming Social Science (SPSS). Dimana hasil pengujian validitas adalah nilai r hitung (0,293 sampai dengan 0,829) lebih besar dari r table (0,2542) dan hasil pengujian reliability adalah nilai Cronbach’s Alpha (nila alpha) yaitu 0,763 sampai dengan 0,856 lebih besar dari 0,60, jadi implementasi pengecekan barcode secara otomatis dinyatakan efektif (valid).

Dünyanın %71'i denizlerle kaplıdır. Denizcilik, sunduğu ekonomik maliyetler nedeniyle uluslararası ticari taşımacılıkta en çok tercih edilen sektördür. Enerji, tıbbi ekipman, ilaç, gıda ve benzeri hammadde ve ürünlerin nakliyesi çoğunlukla deniz yoluyla yapılmaktadır. Bu çalışmada; Denizcilerin bilgi birikimleri ile çalışma performansları ve gemiye uyumları arasındaki ilişkinin incelenmesi amaçlanmaktadır. Bu amaçla alanında uzman kişiler tarafından bir anket formu oluşturularak 740 kişiye gönderilmiş ve 63 anket yanıtlanmıştır. Çalışmada SPSS 23 paket programı kullanılmıştır. Başlıca bulgular şunlardır; Denizcilerin eğitim düzeylerinin çalışma performanslarını etkilediği gözlemlenmiştir. Acil durumlara hazırlık role talimlerinde personel ve görevlilerin performans not ortalamalarının yüksek olduğu görülmüştür. İlgili kursları başarıyla tamamlamış ve ilk kez gemide çalışan bir denizcinin bilgisinin, performansını etkilediği sonucu elde edilmiştir. Uyum sürecinin yabancı bir denizcinin performansını etkilediği görülmüştür. Denizcilik eğitimlerinin denizcilerin çalışma performansını ve ilgili acil durumlarda sorumluluk duygularını arttırdığı görülmüştür. İstatistiksel analizlerle tespit edilen durumlar için gerekli öneriler ve tavsiyelerde bulunulmuştur. Role talimi gibi hayati önem taşıyan eğitimlerin etkisi belirlenmiş ve eğitimlerin ciddiyetinin korunması önerilmektedir. İlk kez gemide görev alacak olan personellerin ve yabancı uyruklu personellerin bilgi ve adaptasyonlarını arttıracak etkinliklere önem verilmesi gerektiği önerilmektedir.

The article describes the challenges and success factors of implementing sustainability in the Bangladeshi textile industry. The main purpose was to identify the barriers and change them to success to maintain a satisfactory and pleasant environment in the industry. Implementing and ensuring sustainability in the Bangladeshi textile industry is a priority. The barriers and success factors of sustainability in Bangladeshi textile industry through a survey based was evaluated. The survey was carried out through questionnaires of managers in the Bangladeshi textile industry. The test was carried out at the producer level of the industry based on the three pillars of sustainability (social, economic, and environmental). The 5-point Likert scale was used to receive the responses. We surveyed a total of 26 people from 7 different factories. SPSS software was used to analyse the surveyed data and quantify the barriers and success factors of sustainability. Data were statistically analysed using reliability tests, multiple regression analysis, ANOVA, coefficients, regression equation development, and Pearson's correlation. The analysis illustrated the socio-environmental aspect as the most important predictor, while the environmental-economic and economic-social aspects were the least important to the managers of the Bangladeshi textile industry. The performance of any industry depends on the management and their way of handling situations. Our research goal was to find out the challenges that the management faces and what could be possible solutions for these challenges. The article shows the ways of finding out the existing barriers to sustainability by conducting a survey of the textile industry and the possible solutions to these barriers to ensure a better work environment. The article also shows how to keep the industry performance updated, improved, and satisfactory. The report would be beneficial to the Bangladesh textile industry administration to identify industry barriers to implementing sustainability and changing it to success.

Currently, tourism activities depend not only on what is visible but on a synergistic effort to attract visitors. If they don’t make repairs immediately, their interest will slowly dwindle. This situation has become a high enigma and attracted us to identify the relationship between visitors’ bonding, city branding, technology adaptation, innovation and creativity, and market segmentation. It described the explanation with the support of 1,278 informants, where we interviewed them while visiting six popular destinations in Samarinda. Using a convenience sampling procedure, we processed the survey data through multiple regression and IBM-SPSS software, which analyzed two structures (direct path and mediation path). The terms that are significant or not significant are p

Background: Pulmonary embolism (PE) is a common and fatal complication of COVID-19 infection. COVID-19's main clinical manifestations are not only pneumonia but also coagulation disorders. This study evaluates the prevalence of pulmonary embolism at CT pulmonary angiography (CTA) for positive coronavirus patients as well as the factors associated with PE severity. Materials and methods: This is a retrospective cross-sectional study that was conducted at King Faisal Medical Complex (KFMC) in Taif city of Saudi Arabia from June 2020 to June 2021. Data was collected from the picture archiving and communication system (PACs) for a total of 445 positive patients who underwent CT pulmonary angiography and analyzed using SPSS. Results: The mean age and gender of the male were 57.3 ± 15.8 years and 64.5%, respectively. The prevalence of pulmonary embolism at CTA among patients with COVID-19 was found to be 8.1%. Bilateral segmental and bilateral subsegmental pulmonary embolism were found to be the most common sites for PE (16.7% for each). Furthermore, shortness of breath (SOB) was found to be the most common reported symptom among the respondents. Lastly, shortness of breath, chest pain, loss of taste or smell, D-dimer, and cardiac troponin were found to be significantly associated with PE (P-value =

Budgeting for highly capital-intensive activities such as course material development, hiring of facilitators and conduct of examinations in Open and Distance Learning (ODL) institutions rely greatly on the number of students admitted yearly. The need for an effective forecast model for the prediction of students’ enrolment in ODL institutions can therefore not be overlooked. In this study, we tested seven different exponential smoothing forecasting models on sampled data of students’ admission into the National Open University of Nigeria (NOUN) programmes for a period of 16 years, in view of finding a single forecast method that will be effective in forecasting future enrolment of students into all programmes of NOUN. The students’ enrolment data were collected twice a year corresponding to admissions made in each semester of the year as practiced in NOUN, forming a time series with 32 observations for each programme. The stationary R2, MAPE and MAE goodness-of-fit measures obtained from the methods were compared to obtain the best performing model. The Holt Winters Additive model performed better than others with a mean stationary R2 of 0.583 and a very low mean standard error (SE) of 0.127 for the sampled programmes, hence it was chosen as the forecast model for prediction of future outcomes. The result of this work is useful in describing the pattern of students’ enrolment in NOUN over the past years and for forecasting of student population in each programme offered in NOUN. Résumé : La budgétisation d'activités à forte intensité de capital telles que le développement de matériel de cours, l'embauche de facilitateurs et la conduite d'examens dans les établissements d'enseignement ouvert et à distance (EOD) dépend fortement du nombre d'étudiants admis chaque année. La nécessité d'un modèle de prévision efficace pour prédire le nombre d'étudiants dans les établissements d'enseignement ouvert et à distance ne peut donc pas être négligée. Dans cette étude, nous avons testé sept modèles différents de prévision par lissage exponentiel sur un échantillon de données relatives à l'admission des étudiants dans les programmes de l'Université nationale ouverte du Nigeria (NOUN) sur une période de 16 ans, afin de trouver une méthode de prévision unique qui soit efficace pour prévoir les inscriptions futures des étudiants dans tous les programmes de NOUN. Les données relatives aux inscriptions des étudiants ont été collectées deux fois par an, ce qui correspond aux admissions effectuées au cours de chaque semestre de l'année, comme cela est pratiqué à NOUN, formant ainsi une série temporelle de 32 observations pour chaque programme. Les mesures stationnaires R2, MAPE et MAE de qualité d'ajustement obtenues à partir des méthodes ont été comparées pour obtenir le modèle le plus performant. Le modèle additif de Holt Winters a donné de meilleurs résultats que les autres, avec un R2 stationnaire moyen de 0,583 et une erreur type moyenne très faible de 0,127 pour les programmes échantillonnés, et il a donc été choisi comme modèle de prévision des résultats futurs. Le résultat de ce travail est utile pour décrire le modèle d'inscription des étudiants à NOUN au cours des dernières années et pour prévoir la population étudiante dans chaque programme offert à NOUN. Mots-clés : Prévision des inscriptions des étudiants, modèle de lissage exponentiel, SPSS, analyse des séries temporelles, enseignement ouvert et à distance.

Good cost performance will result in profit margins for the company, but on the contrary, poor cost performance will certainly result in cost overruns. And this is often and even always the case with every project, both in construction projects and office building projects. Several factors can influence the decline in cost performance so that there is a cost overrun, such as design changes, material availability, work improvements, poor labor relations, incomplete project documents, increase in material prices, labor, equipment, project finances, and project implementation time. With the various causes of decreased cost performance, this research will limit the analysis of factors such as changes in design, material availability and labor productivity, which are indeed very frequent in construction projects, especially in office building projects. Office building projects are not as large as high-rise construction projects or other civil projects, but in terms of the complexity of detailed types of work, it is often a boomerang for cost overruns. This study used a statistical analysis approach using an SPSS device based on questionnaire data for implementing contractors in Jakarta. [ABSTRACT FROM AUTHOR]

At the beginning of 2020, the COVID-19 contagious virus swept, which caused a lot of disturbances in all countries worldwide. The Egyptian government declared an emergency and placed the country under lockdown. Preventive measures such as social distancing, sterilization, mask wear, frequent temperature checks, offering COVID-19-related training, and encouraging work-from-home initiatives, among other precautions, have been implemented. Such precautionary measures affected the construction production rate. This research used a questionnaire and face-to-face interviews to solicit the opinion of construction industry professionals and experts on tier-one construction companies on the impact of this pandemic on construction production rate. A quantitative analysis has been done in this study using IBM SPSS Statistics 26© to determine the most important effective factors of the production rate of the construction industry, mainly in Egypt. Also, this study illustrates an Artificial Neural Networks (ANNs) model to predict the project's cost and production rate at construction for the actual status in Egypt at the peak of COVID-19. The model does not only present the actual case but can also predict the most important and influential factors of the construction industry mainly in Egypt, at the peak of the virus, and can be used in other similar crises as a lesson learned which no study covered this area at the previous works. Finally, the results and the validation study of the proposed ANN model in the research show and present the actual status of production rate in the construction sector, mainly in Egypt (case study), and also predict the production rates of the construction sector at the future crisis. [ABSTRACT FROM AUTHOR]

Introduction : The practice of pranayama modulates the cardiac autonomic status and improves cardio-respiratory functions suggesting an enhanced parasympathetic and blunted sympathetic activity, leading to early return of vitals to baseline. Yoga benefits for cardiopulmonary endurance in healthy people which manifest clinically as improved lung capacity, increased oxygen delivery, decreased VO2 and respiratory rate, and decreased resting heart rate, resulting in overall improved exercise capacity. Hence, we decided to study the effect of Pranayama on heart rate and six minute walk distance on six minute walk test in healthy subjects. Materials and Methods: It was a longitudinal study. 30 healthy subjects of age group 18-30 years were recruited for this study. The study was conducted in the Department of Physiology, Santosh Medical College and Hospitals, Ghaziabad. Heart rate was counted by palpating the radial pulse for one full minute. Six minute walk test was conducted as per American Thoracic Society (ATS) guideline and six minute walk distance recorded. Pranayam training was given by yoga instructor two times per week for 40 days that consisted of warm up for 5 min, Pranayama for 25 min and Meditation for 10 min. Heart rate was recorded again before and after six minute walk test. Six minute walk distance noted. Statistical Analysis: Data was entered in to MS Excel and expressed as Mean and SD. Differences between groups before and after intervention was assessed by t-test using SPSS 23.0 software. Results: It was observed that there was a statistically significant decrease heart rate after 4 weeks of Pranayama training which decreased from 105.07 ± 5.842 beats per minute to 98.07 ± 6.422 beats per minute after six minute walk test, p < 0.001. There was a statistically significant increase in walk distance on six minute walk test after 4 weeks of Pranayama training from 526.67 + 25.795 m to 682.60 + 25.425 m, p < 0.001. Discussion: The present study revealed that after 4 weeks of Pranayam training there was a significant decline in heart rate after six minute walk test. There was a significant increase in six-min walk distance after Pranayama. Decline in heart rate may be due to the reduced sympathetic activity and increased parasympathetic activity, leading to improvement in vagal tone. Improvement in the walked distance may be due to improved lung capacity, increased oxygen delivery, decreased VO2 and respiratory rate, and decreased resting heart rate, resulting in overall improved exercise capacity. So, Yoga can be considered as a non - pharmacological intervention to improve cardiovascular functions and exercise capacity. [ABSTRACT FROM AUTHOR]

Copyright of Pearl River is the property of Pearl River Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study evaluates the influencing factors of firm performance among manufacturing companies in Ghana. Data used for the research is from the set of questionnaires issued to managers and employees. This research uses the organizing, structuring, and attributing significance to the extensive data that has been collected. The results show that flexibility, reduced lead time, forecasting, resource planning and cost saving, and reduced inventory level influence organizational performance. On the same line, Forecasting and Reduced Inventory Levels influence the firm performance to a significant. Reduced lead time and resource planning focus on internal markets may be attributed to the less proactive nature of firm key operations. [ABSTRACT FROM AUTHOR]

There are five major injurious accidents in China's construction industry, namely, falling from height, collapse, object strike, electric shock, and mechanical injury, among which falling from height is the the most common with great harm. On the basis of previous relevant literature and safety technical regulations, this paper firstly identified the risk factors for each of the five most common height fallings. Besides, according to the accident cause theory, 18 factors leading to height falling accidents were determined and screened out from four aspects of personnel, external objects, management and environment. Moreover, questionnaires were distributed to 350 front-line workers with 298 valid questionnaires collected. After reliability and validity tests of SPSS, confirmatory factor analysis (CFA) was conducted using structural equation model (SEM) to compare the influence of risk factors. The results showed that workers' unsafe behaviors are the most likely to lead to height falling accidents, followed by the influence of external objects, management factors and environmental effects. Besides, effective protective equipment, weather changes during construction, safety education and training are worth special attention. This paper aims to enrich the literature research on the cause factors of height falling, and tends to provide some constructive suggestions for construction site safety management. [ABSTRACT FROM AUTHOR]

For making the most favorable financial decisions possible, it is essential to have an understanding of aspects and the factors which can play a role in the decision-making. In contrast to previous research on the subject, which has only examined a single factor in making investment decisions, our study takes a more holistic approach by looking at several factors. The purpose of this study was to discover the elements that influence investment decisions made by financial organizations that are listed on Iraqi stock exchanges (ISX). The research was carried out on the six companies that made up the study's sample size. For the purpose of data collection, the researcher utilized a structured questionnaire that was delivered to the respondents in an individual capacity. The questionnaire contained eight items. The factors of the questionnaire were analyzed with respect to normal distribution, the problem of linear multiplicity, the validity of the questionnaire in terms of content and appearance, the stability of the questionnaire by the split-half method, and the test and re-test method. In addition, the research hypotheses were tested on both the independent variables and the dependent variables. We calculated the mean, standard deviation, weight percentile, and coefficient of variance from the collected data. The significance of the connection between the dimensions of the decision-making factors was clarified through the use of Spearman's correlation coefficient and the t test. We concluded that in the last step of the proposed model there is an increase in coefficients of determination and it reaches a value of (0.98), which is a very excellent and almost complete interpretation of the impact of dimensions extracted in the model and their impact on investment decision. As is noted, a slight decline in the value of the regression coefficient for all variables occurred, and also we noticed that the signs for the coefficients for the five variables are positive, meaning that they reflect the extent of the direct effect of those variables in making the investment decision. The response rate for the questionnaire was 97.7%. [ABSTRACT FROM AUTHOR]

Copyright of School Administrators is the property of School Administration Research Association, R.O.C. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The statistical study of the glued-in rod splice connection for Mengkulang glulam timber is presented in this research. This type of connection is used in many applications, such as bridge construction and wide hall, besides becoming increasingly popular due to its cost-effectiveness and ease of installation. Using statistical analysis to evaluate the performance of glued-in rod splice connections is relatively new. Statistical analysis can assess the connection's performance by examining the glued-in rod splice connection's strength, stiffness, and durability. Glued-in rods have several advantages over traditional mechanical connections generally used in beam design, such as higher stiffness, more uniform stress distribution, fewer rod corrosion problems and better appearance. Due to this limitation, the standard design for glued-in rods using glulam is the estimated extrapolation for solid timber guidelines. The main objectives of this research were to develop the pull-out model and validate the effectiveness of the model equation for glued-in rods parallel (GRPS0°) and perpendicular (GRPS90°) to the grain directions using a statistical package for the social sciences (SPSS). The variables examined were the number of rods, diameter, length, spacing, the kind of glue utilised, and the number of adhesive layers. In conclusion, the model development clearly shows that most of the parameters achieved the R2 more than 80% accurate for both parallel (GRPS0°) and perpendicular (GRPS90°) to the grain directions. [ABSTRACT FROM AUTHOR]

I introduce D2prop macro in SPSS that can be used to test difference in two proportions of two independent samples. The focus of this paper is to show how to use the macro and interpret its outputs.

Corporate social responsibility (CSR) has gradually more important for sports organizations as they seek to improve their financial sustainability. A growing number of sports organizations are recognizing the strategic value and potential benefits of CSR and are implementing CSR initiatives into their operations. The study explores the impact of CSR on the financial sustainability of sports organizations. Through a complete assessment of the literature and analysis of relevant data, the study examines the impact of various CSR initiatives, such as sponsorship and funding, charities through partnerships, organizational commitment, and stakeholder satisfaction on the financial sustainability of sports organizations. Furthermore, the study analyzes the impact of external factors, such as global economic recession and proper fund utilization on the financial sustainability of sports organizations. The findings reveal that proper implementation of CSR initiatives can positively impact the financial sustainability of sports organizations. CSR partnerships with charitable organizations can provide an effective way for sports organizations to improve their social profile, while also helping to generate revenue and financial stability. The study also highlights the significance of stakeholder satisfaction and organizational commitment towards CSR activities in improving financial sustainability. The outcome of this study underscores the importance of CSR in the financial sustainability of sports organizations and provides insights into how sports organizations can leverage CSR to improve their long-term financial sustainability while also benefiting society at large. The findings show that factors, such as sponsorship and funding, proper fund utilization, global economic recession, charities through CSR partnerships, organizational commitment to CSR activities, and stakeholder satisfaction have a significant impact on the financial improvement of sports organizations. The factor “improving social profile” doesn’t have an impact on the financial improvement of sports organizations. [ABSTRACT FROM AUTHOR]

With the stable growth of economic development and rapid economic development in rural areas, there is severe pressure and challenge in the governance of household garbage in rural areas. This paper analyzed the influencing factors of rustic domestic garbage collection and transportation in Fangzheng County of Heilongjiang Province using SPSS statistical analysis software. It was found that the disposal equipment for household waste and vehicle equipment was highly correlated with the present garage disposal. According to the research sample base, To meet the requirements of factor analysis, SPSS software was used to carry out multiple linear regression and principal component regression to the entire calculation process, and the regression equation was determined to review the influencing factors and solutions of rural domestic waste treatment.

The development of Technology, Information and Communication (ICT) in education has been growing considerably. Use of technologies contribute to supporting student learning and play a vital role in the learning process. The Covid-19 pandemic, since early 2020, has impacted the implementation of the learning process, especially in higher education. The learning instruction has shifted from face-to-face to online learning (e-learning). It is undeniable that the learning process experiences disruptions, resulting in significant changes in the learning environment. Thus, the flipped classroom model is likely to be on model for educators in higher education. This study aims to investigate an increase in the statistical reasoning abilities of engineering students taught using the flipped classroom model assisted by SPSS and STATCAL applications analyzed based on gender. Participants involved 55 first-year informatics engineering students. Data were collected using a test in the form of essay questions and then analyzed using the stacking method of the Rasch measurement model. The results showed that the statistical reasoning abilities of students improved after being taught using the flipped classroom model with the SPSS and STATCAL applications. This finding implies that the flipped classroom model assisted by SPSS and STATCAL applications is effectively implemented in technology-integrated statistics learning.

Tujuan kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan pemahaman bagi guru-guru matematika SMAN 01 Kefamenanu mengenai pengolahan data yang sesuai dengan desain penelitian. Hal ini dilatarbelakangi karena masih minimnya karya ilmiah yang dihasilkan guru yang disebabkan karena kurangnya pengetahuan guru akan pentingnya pengembangan profesi pendidik dalam melakukan penelitian serta kesulitan guru dalam mengolah data hasil penelitian terkait tehnik analisis data serta waktu yang diperlukan. Kegiatan pengabdian ini dilaksanakan sejak bulan Juli sampai dengan Agustus 2019 dengan sejumlah 15 peserta guru matematika. Kegiatan ini terdiri dalam tiga tahapan dimulai dengan persiapan, pelaksanaan dan terakhir tahap pembinaan. Pada tahap persiapan, pengabdi mengidentifikasi peserta yang belum dan telah mengenal serta menggunakan media olah data SPSS sekaligus penentuan topik materi pelatihan. Tahap kedua berupa pelaksaan yang diawali dengan penginstalan SPSS kemudian dilanjutkan dengan penyampaian materi serta simulasi berdasarkan lembar kerja yang diberikan. Pada tahap ini juga, peserta diberikan angket respon terhadap pelatihan yang telah dilakukan. Tahap terakhir berupa pembinaan. Berdasarkan kegiatan pelatihan yang telah dilaksanakan dapat disimpulkan bahwa kegiatan pelatihan ini memotivasi guru dalam melakukan penelitian karena adanya alat statistik SPSS yang memudahkan guru dalam mengolah data penelitian. Lebih lanjut, guru mampu melakukan pengolahan data penelitian sesuai dengan konsep korelasi dan regresi linear serta mampu menginterpretasikan hasil output SPSS yang diperoleh.

This study aims to demonstrate how to do paired sample t-test using SPSS software to analyze the effect of the application of anti-fire bamboo teaching materials on student learning outcomes. SPSS software is a very common statistical software in educational research that can be used to analyze the differences of a variable after being given treatment. One of the variables that can be analyzed is the difference in student learning outcomes. Teaching materials used in learning can cause differences in student learning outcomes. This research uses fire-resistant bamboo as multimedia-based teaching material to study the properties of the material and its changes. The results of the analysis using SPSS software showed that there are significant differences in student learning outcomes after using fire-resistant bamboo as multimedia-based teaching material. Student learning outcomes become improved and these teaching materials make it easier for students to understand the concepts being taught.

Telemedicine is a technology that provides benefits during the COVID-19 pandemic, which has been going on for more than two years. However, we have never conducted an evaluation or assessment of Telemedicine applications. In this study, we tried to look at people's acceptance of using the application, and 104 participants became respondents. This study uses the TAM (Technology Acceptance Model) method, which this method measures the influence between variables. TAM has five indicator variables: Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention, and Actual Usage. In this study, four models were made with three comparison models; then, for the results of testing the relationship between variables, three hypotheses are always accepted in each model, namely Perceived Ease of Use with Perceived Usefulness, Perception Ease of Use with Attitude Toward Using, and Behavioral Intention with Actual Usage. Then the two hypotheses always rejected in each model are Perceived Usefulness with Attitude Toward Using, Attitude Toward Using with Behavioral Intention. Then there is one hypothesis for each model that is refused, namely Perceived Usefulness with Behavioral Intention, Perceived Usefulness with Actual Usage, Perceived Ease of Use with Behavioral Intention, and Perceived Ease of Use with Actual Usage.

In today's digital era, data has become a very valuable asset in decision making in the military field. Where, data science can be used for various purposes, such as risk prediction and analysis, policy development, human resource development, operational efficiency improvement, and predicting someone's length of service in the military. However, effective implementation of data science also requires adequate data infrastructure, strict data security, and skilled and trained human resources in data science. The purpose of this study is to discuss the effect of using data science in developing the quality of human resources, where from this point of view data science is considered to be able to make a significant contribution in increasing the effectiveness and efficiency of military human resources development in Indonesia. This research method is a survey method with the aim of obtaining data on the use and benefits of data science in developing military human resources with a sample of 50 people. As for data processing using SPSS software analysis tools. Utilization of data science is the independent variable in this study, while the quality of military human resource development in Indonesia is the dependent variable, with the control variable being the level of education and experience of military human resources. The results of multiple linear regression tests show that the utilization of data science, education level, and experience of military human resources simultaneously has a significant effect on the quality of military human resource development in Indonesia.

Paying attention to the welfare level of soldiers is also an important task in building and maintaining morale and fighting spirit in the military. This study aims to examine the effect of the Service Housing Provision Program (PPMD) on the level of welfare of Indonesian Navy soldiers. The method used is a survey with a simple random sampling technique and data analysis using simple linear regression. The results of the study show that PPMD ​​has a positive and significant influence on the welfare of TNI AL soldiers, with an R Square value of 0.463. These findings show that PPMD ​​can increase the level of welfare of TNI AL soldiers, so efforts need to be made to continue to improve the quality of the PPMD ​​program in providing housing for TNI AL soldiers.

Purpose: Flooding is a problem in urban areas, particularly in the Krukut watershed. The causative factors are changes in land use, increased land conversion from dry land to watertight built-up land, and reduced water catchment areas. Various efforts to control inundation have been made, but the location of inundation has not been significantly reduced. As a result, a model is required to predict the occurrence of inundation so that it can be anticipated. This study will discuss a mathematical model for predicting inundation in the Krukut Watershed by considering rainfall, land use, and the drainage system. Design/methodology/approach: Researchers gathered inundation data from trusted social media from 2010 to 2020, rainfall data from 2003 to 2018 from the Universitas Indonesia Campus station, and land use data from Citra Landsad in 2019. SPSS was used to analyze the data. Findings: The analysis results show a solid positive correlation with the variable Building Open Area impermeable to inundation. According to the research findings, the inundation area is 0.17 km2. Compared to the EPA SWMM modeling results, the result is 0.21 km2 with a return period of 25 years, with an overall accuracy of 90,91% and a kappa accuracy of 67%. It means that the applied model produces an acceptable level of truth. Paper type: Research paper

This study analysed the English language test performance of medical students on an Occupational English Test (OET) before and after a semester-long compulsory course of Medical English. A test based on the Common European Framework of Reference for Languages (CEFR) was administered to evaluate the relative performance between an English for Medical Purposes assessments (OET) and a general English assessment (CEFR). The paired sample test indicates that there was a statistically significant increase in the pre- and post- OET test scores. There was a weak correlation between the OET and CEFR results. [ABSTRACT FROM AUTHOR]

In a transitioning word, specially in mall property industry, a winning strategy comes from anticipating with people needs and desires, understanding them in the most holistic way possible. The 7P marketing mix refined by Booms and Bitner in 1981 which consists of elements of Product, Price, Place, Promotion, People, Physical evidence, Processes and additional Partnerships, is a tool for analyzing existing market conditions in more depth. In addition, to meet customer wants, needs, and satisfaction refers to the market environment, both external and internal. This research succeeded in modeling customer segmentation based on clustering data mining techniques with K-Means analysis using the SPSS program. Based on the analysis results obtained, there are 3 clusters, namely clusters: consumptive customer, potential customer, and standard young customer. From the results of this study, we get the personas that emerge as a result of this clustering analysis, and identify the needs, desires, and preferences of the cluster that is formed. We choose to develop tactic 8Ps marketing mix for cluster potential customer. [ABSTRACT FROM AUTHOR]