Simple Liner Regression Research Articles

Keterampilan Digital: Pengaruh Kompetensi Digital terhadap Minat Bisnis Online

The importance of this research lies in the inevitability of today's digital technological advancements, marking a period where prioritizing work efficiency and effectiveness has become essential, giving rise to what is known as the digital age. A large number of younger individuals are captivated by the complexity of technology, often using it solely for recreational purposes. The impact of such behavior stems from the inappropriate utilization of technology, potentially turning the next generation into mere consumers in a consumer-driven society. The younger generation must be more digitally savvy so as to encourage the utilization of digital technology to be more productive in order to foster the seeds of reliable and skilled young business people who are technologically literate. Digital competence is not only understanding the hardware of a technology, but also the software, and it is inseparable. The purpose of this study is to determine the influence between the digital competence of the young generation of Makassar city on online business interest, as well as what factors that are supporting and inhibiting. The method used was through a quantitative approach which was analyzed through validity, reliability, normality, linearity and simple liner regression tests with the help of the SPSS version 24 application. The respondents of this study were 222 teenagers in Makassar City. The results of the study state that there is a significant influence between digital competence on interest in doing business online by 39.3%, and 60.7% is influenced by other factors. The supporting factors for adolescents include the ability to use hardware such as gadgets/smartphones that are high, as well as the ability to search for information online, while the obstacles are the lack of ability to use commerce platforms and the lack of interest to start an online business, moreover reluctant to run it. Other factors that influence interest in doing business online include the availability of the capital, fear of bearing the risk of failure, etc. The limitations in this study are the lack of respondents who filled out questionnaires and still need to be researched on aspects of adolescent psychology.

Abstract 4134729: Quantitative, time-efficient viability cardiac magnetic resonance with delayed-phase dynamic contrast enhancement model: a pilot study in dogs with myocardial infarction

Introduction: Late gadolinium enhancement (LGE) is the gold standard for myocardial viability imaging, recommended by all major cardiology societies. In this study, we aimed to develop a time-efficient viability imaging technique utilizing a dynamic contrast enhancement(dDCE) model to shorten the LGE wait time, provide quantitative measures of the contrast washout procedure, and potentially enable a fast and quantitative mean for scar imaging. Methods: A canine study(n=10) was conducted on reperfused myocardial infarction(MI). A dDCE model using dynamic post-contrast T1 maps was adopted to depict the contrast washout process. dDCE maps were reconstructed using the whole dataset(dDCE 30min ) and a 5-minute subset of the T1 maps(dDCE 5min ). To test the dDCE models for shortening the LGE wait time, LGE dDCE images were synthesized using the dDCE 5min maps and compared to the clinical LGE images. Remote and MI dDCE parameters on dDCE 30min and dDCE 5min maps were compared to test the model's ability to extract physiological features. Results: dDCE 30min and dDCE 5min map showed a good visuospatial difference between remote and MI(Fig. 1A) and no quantitative difference (Fig.1B). v e and PS showed a significant elevation in MI than in remote (61.12±13.65% vs 13.43±5.00%, P =0.018; 44.62±21.40mL/g/min vs 0.42±0.55mL/g/min, P =0.018, respectively). v p and F p were significantly decreased in MI than in remote (4.17±2.06% vs 10.85±3.77%, P =0.02; 1.11±0.32mL/g/min vs 1.51±0.42mL/g/min, P =0.04, respectively). Representative LGE and LGE dDCE images showed high agreement in the presence of MI (Fig. 2A). Bland-Altman analysis showed good agreement between LGE and LGE dDCE images for the measurement of infarct area (bias, -1.74 ± 6.60 %, Fig. 2B) and transmuraltiy (bias, 1.86 ± 2.73 %, Fig. 2C). The simple liner regression showed strong correlations between LGE and LGE dDCE images for the infarct area (R 2 , 0.95; slope, 0.93, P <0.01; Fig. 2D) and transmurality (R 2 , 0.97; slope, 0.93, P <0.01; Fig. 2E). ROC analysis showed that the AUC was 0.97 (95% CI: 0.94 to 1.00) (Fig. 2F). Increased lesion-blood pool contrast by 10 folds on dDCE images improved subendocardial MI detection (Fig.3). Conclusions: The developed dDCE model provides comparable viability assessment ability to the standard LGE images without the prolonged wait time and reflects MI pathophysiological changes. It shows the potential for a rapid and quantitative myocardial viability imaging protocol using cardiac magnetic resonance.

9175 Pretransplant Clinical Characteristics Related To Change In Bone Mineral Density In Adults 1 Year After Allogeneic Hematopoietic Stem Cell Transplantation At Bucaramanga, Colombia Reference Center

Abstract Disclosure: G.A. Parra-Serrano: None. C.L. Sossa: None. K.J. Moreno Medina: None. M. Ochoa: None. A. Reyes Gonzalez: None. A. Plata: None. P. Mantilla Mantilla: None. Introduction: Hematopoietic stem cell transplantation (HSCT) , refractory to pharmacological management, increases 10-year survival by 80%, Chronic complications include alterations in bone metabolism, that increase appearance of osteoporosis (13.8 - 17%), non traumatic fractures, and loss of Bone mineral density (BMD) at the hip -4.2%, L1L4 -2% and femoral neck-9%. Methods Calculate Change at (BMD) in adults undergoing allogenic (HSCT) after 1y and determine pretransplant factors related to this change. Composite endpoint osteoporosis/lowbonemass (osteoporosis Tscore<-2.5 and/or low bone mass Zscore-2.0) 1 year after transplant, Adult patients Retrospective cohort study, ethical comittee approval, anonymized database, undergoing allogeneic (HSCT) between 2009 and 2022, (BMD) measured at lumbar spine (L1L4) and femoral neck before and one year after transplant; Also paraclinical variables: TSH, vitaminD, kidney function, glucocorticoid, Graft vs host disease, disease relapse, diabetes. Descriptive analisis performed, simple linear regresion analisis for delta L1L4 and femoral neck BMD before and 1 year after transplant, and multivariate regresion analisis for variables p<0.2 on simple lineal regression analysis . Results 123 patients, (48 included, 73 excluded (22 died, 50 densitometry data not suitable)). BMD change At lumbar spine, -4.7% (NS) , and at femoral neck -9.8% (p<0.05), Simple regression analysis no correlation for preclinical variables at lumbar spine. negative correlation between prednisolone dose at femoral neck BMD (p 0.007, coefficient B -0.0086 [IC95% -0.014, 0.0025]). Mutivariate regression analysis performed for BMD diference at femoral neck, after adjusting for variables p<0.2 on simple regression analysis, model that include (prednisone dose, diabetes and relapse before transplant showed Rsquare 0.19 coefficient 0.0092 p 0.003. For every gram of glucocorticoid (prednisolone) bone loss decrease -0.9% of BMD at femoral neck at 1 year follow up. Proportion of patients with composite osteoporosis/lowbonemass at femoral neck pre-transplant (n2) 4.17%, postransplant (n14) 29.17%. * p 0.0005. no difference observed at lumbar spine. Fracture incidence n2 (4%) at lumbar spine and n1 (2%) at femoral neck. Conclusions At femoral neck, People with HSCT present significant decrease in (BMD) and higuer incidence of Osteoporosis or low bone mass, not observed at lumbar spine, after adjusting for multiple variables. for every 1gr of prednisolone equivalent dose, (BMD) decrease -0.9%, at femoral neck p0.003. The model only explain 19% of change of BMD at femoral neck, that suggest immune response caused by allogenic transplantation might be responsible, in part, of BMD change. Presentation: 6/3/2024

تطوير حزمة برمجية لاكتشاف ومعالجة مشكلة الارتباط الذاتي

Autocorrelation is a common challenge in regression analysis. It can lead to biased and inefficient parameter estimates, ultimately affecting the accuracy of the results. Many statistical software packages, such as SPSS and Minitab, include features for identifying Autocorrelation, such as the graphical method and the Durbin-Watson test. However, these methods have drawbacks. The graphical method relies on subjective interpretation, and SPSS lacks the necessary information to interpret the significance of the Durbin-Watson test results. Java-based software has been developed to address these limitations and tackle the problem of Autocorrelation in regression analysis. The software utilizes the Durbin-Watson method, providing a more precise alternative to graphical methods. It presents analysts with an intuitive interface. The software has been tested using accurate data, and the results validate its ability to detect and address positive Autocorrelation, consistent with previous findings on the Dataset. This software enhances the dependability and precision of regression analysis in different domains. The software can be further enhanced by expanding its scope to include more complex regression models, adding other methods to address Autocorrelation, and improving the user interface for greater ease of use. Keywords: Simple Liner regression, Autocorrelation, Durbin-Watson, Object-oriented programming.

The Influence of Reading Literacy Culture on Reading Interest of Class V Students at MI Negeri 3 Pekanbaru

This research was motivated by the less than optimal implementation of a reading literacy culture at MI Negeri 3 Pekanbaru. Even though the school has implemented a reading literacy culture, fifth grade students still face challenges in increasing their interest in reading. The obstacles in implementing this are the lack of interest of students, low enjoyment of reading, and lack of awareness of the importance of literacy. However, the school always tries to facilitate students to develop an interest in reading. This research aims to identify how much influence reading literacy culture has on the reading interest of class V students at MI Negeri 3 Pekanbaru. Through a quantitative approach with an ex post facto research design. The population used in this research was class V students, totaling 103 students. By using the Slovin formula and a confidence level of 10%, a sample of 52 people was obtained. Data collection techniques are carried out through questionnaires, instrument testing uses validity and reliability. The data analysis technique uses descriptive analysis and prerequisite tests, namely normality and homogeneity tests, hypothesis testing in the form of a simple liner regression test using the conditions Ha is accepted and Ho is rejected. Based on data processing from research results with a sample size of 52 class V students at MI Negeri 3 Pekanbaru, it can be concluded that there is a positive and significant influence between the implementation of a reading literacy culture on the reading interest of students in class VMI Negeri 3 Pekanbaru, in other words the proposed hypothesis accepted, namely Ha is accepted and Ho is rejected. As the total influence is 0.331 with the influence being positive. This means that the better the reading literacy culture, the better the students' interest in reading.

Risk Management and Performance of Microfinance Industry

Purpose: The purpose of this study was to understand the significance of the relationship between risk management and sustainability of the microfinance industry. Furthermore, how does effective risk management could be used towards sustainable growth in microfinance. The findings of the study revealed that there is a positive relationship between risk management and sustainability of microfinance industry.
 Design /Methodology/Approach: The study was conducted in three administrative districts in Sri Lanka, using 376 MF female borrowers, who represent from different businesses. The cluster sampling technique was selected for the survey. Primary data was collected using personally administered questionnaires and the sample frame was selected from two leading MFIs that consented to participate in the research. The conceptual frame work was developed based on the two variables risk management and sustainability of the microfinance industry. Simple liner regression analysis was taken to determine the significance of the relationship. 
 Findings: The study was able to find a positive relationship between effective risk management and industry sustainability. It was observed that that effective implementation of risk management process in the industry would certainly essential for long-term sustainability of microfinance institutions (MFIs). The findings showed that there were several strategic management measures that could have been put in place by key stakeholders in the industry.
 Research, Practical & Social Implications: The study found that although there has been potential growth in the industry vulnerability is very highly compared to other industries. Instead of the growth potential, MF is fighting for survival and sustainability. Mission drift, commercialization, and a lack of understanding among stakeholders, negatively impact the sustainability of the microfinance industry. It is significant to keep pace with the inculcating risk management culture among key stakeholders in the industry. Microfinance Institutes, Female Borrowers, Regulators. If not combined with the development of social capital, the financial programs have the possibility of creating a divided, dependent and unsustainable community.
 Implications/Originality/Value: To the best of the authors’ knowledge, no study has been conducted on uncovering and exploring the significance of the relationship of two key variables in microfinance industry. Most of the previous studies discussed these factors in isolation not as a collective wisdom to find a solution. This article is an industry contribution for inculcate risk management culture among stakeholders in microfinance and enhance different approaches to promote financial literacy levels of female borrowers who are key to sustainability in the industry.

Effect of Banana Bark and Cow's Blood Meal Compost on the Green Lettuce Plants (Lactuca sativa L.) Growth

Green lettuce (Lactuca sativa L.) is a vegetable crop that is in great demand by the public, but its production is relatively low so that it cannot meet the high market demand. One of the efforts to increase the production of green lettuce plants is by applying organic fertilizer. The purpose of this study was to determine the content of C, N, P, K elements, the effect of compost application for growth and optimal dosage. The research method used a complete randomized design (CRD) four treatments namely Control, A (dose of 60 g), B (dose of 120 g) and C (dose of 180 g) with 5 replications. Data from the study were analyzed using the Anova test, significant data continued with the DMRT 5% further test. Testing the effect with simple liner regression analysis. The results showed that compost gave a blackish brown color after 35 days and had no odor and obtained nutrient values of C (41,77%), N (6,92%), P (0,09%) and K (0,12%). The treatment of compost variations produced plant height of 26,80 cm, number of leaves of 10,60 leaf, plant wet weight of 22,40 gram, root weight of 0,57 gram, root length of 12,94 cm leaf area of 130,06 cm² with significant results, while chlorophyll A (0,19 mg/L) and total (0,616 mg/L) levels had insignificant results. The conclusion of the research is that the compost of banana stalks and cow blood meal contains C by 41,77%, Total N by 6,92%, Total P by 0,09% and Total K by 0,12%. Banana pith compost and cow blood flour had a significant effect on all parameters of green lettuce plant growth except leaf chlorophyll content at the most optimal dose was treatment A (dose of 60 g).

Abstract 12293: Subclinical Leaflet Thrombus on Transcatheter Heart Valve in Patients With Severe Aortic Stenosis and Atrial Fibrillation

Background: Subclinical leaflet thrombosis is one of transcatheter heart valve (THV) failure that should be avoided after transcatheter aortic valve implantation (TAVI). Although the effectiveness of direct oral anticoagulants (DOACs) on subclinical leaflet thrombosis has been demonstrated, there is insufficiently established evidence for post-TAVI antithrombotic therapy. The aim of this study was to clarify the formation process of subclinical leaflet thrombosis on THV and thrombogenicity during the perioperative period of TAVI. Methods: This multicenter, prospective, single-arm interventional study enrolled 26 patients with atrial fibrillation treated with edoxaban and severe aortic valve stenosis who underwent TAVI between September 2018 and September 2022. After exclusion, 24 patients were finally analyzed. We investigated changes in maximal leaflet thickness detected by contrast-enhanced computed tomography between 1 week and 3 months after TAVI and measured the thrombogenicity by Total Thrombus-formation Analysis System (T-TAS) and flow stagnation volume by computational fluid dynamics (CFD). Results: Of all, subclinical leaflet thrombosis was observed in 16.7% at 1 week, but decreased to 5.9% at 3 months after TAVI. There was no significant difference in maximum leaflet thickness between 1 week and 3 months, however, patients with subclinical leaflet thrombosis at 1 week had a significantly greater difference in that thickness compared to those without thrombosis. Thrombogenicity assessed by T-TAS and platelet count decreased markedly at 1 week and tended to improve at 3 months. Simple liner regression analysis showed that stagnation volume was positively associated with an increase in maximum leaflet thickness, and low-dose edoxaban was associated with a high risk of increased leaflet thickness at chronic phase. Conclusions: This study showed that course of leaflet thrombus formation in neo-sinus of THV and dynamic fluctuation of thrombogenicity in the acute phase after TAVI. These findings were merely hypotheses generation and thus necessitate future hypothesis testing with large sample sizes.

The Effect of Altman Z-Score as Tool for Predicting Potential Bankruptcy on Stock Prices in Retail Subsector Companies Listed on the IDX in 2019 – 2021

The purpose of this study is to determine the Effect of Altman Z-Score as Tool for Predicting Potential Bankruptcy on Stock Prices in Retail Companies Listed on the IDX in 2019 – 2021. The data collection technique in this study uses documentation methods as well as literature studies published by the company. The data in this study uses financial statements published by retail sector companies listed on the Indonesia Stock Exchange in 2019 – 2021 by sampling using purposive sampling techniques. Companies that have met the sampling criteria are 11 companies. The data analysis method in this study uses Altman Z-score bankruptcy analysis, as well as for financial ratios using the ratio of Altman Z- score consisting of Working capital on total assets, retained earnings on total assets, profit before tax and interest on total assets, and book value of total equity at the book value of total liabilities. The next data analysis technique in this study used classical assumption tests, simple liner regression, and other hypothesis test tools. The results of this study showed that the Altman Z-score had a significant effect on the Stock Price of 17.7% with a calculated t value of 2.578 > 2.03951 (0.05 significant α) from the table. Based on the results of the Calculated Altman Z-score classification, it is shown that in 2021 there are 36 companies in a state of bankruptcy, 28% are in a state of gray area, and 36% are in a safe state.

Knearst Algorithm Analysis – Neighbor Breast Cancer Prediction Coimbra

A process to explain the results of the KNN algorithm analysis with the prediction of Breast Cancer Coimbra disease (Breast Cancer). The prediction output of the KNN algorithm will be added with the Simple Linear Regression algorithm modeling to measure the predictive data through a straight line as an illustration of the correlation relationship between 2 or more variables. Linear regression prediction is used as a technique for the relationship between variables in the prediction process of the Breast Cancer Coimbra data set (Breast Cancer). for the value of K in analyzing the KNN algorithm, take the nearest neighbor with the ranking results with K = 5 nearest neighbors which are taken in the KNN calculation. Which is where the output of the KNN algorithm classification will be analyzed with the Simple Linear Regression algorithm with Dependent (Cause) and Independent (effect) variables. The test results determine that the patient has breast cancer and the number of predictions based on age with glucose means that the patient is predicted to have breast cancer. analyze the KNN algorithm with Simple Liner Regression modeling with Python programming language.

Body Image Satisfaction and Quality of Life among Aesthetic Surgery Clients

Background: A negative body image contributes to poor quality of life, which can lead to more susceptible to many disturbances in physical, psychological and social. The aimed to investigate the relationship body image satisfaction and its relationship to quality of life among aesthetic surgery in Babylon Province/ Iraq. Methods: The correlational study design approach is done by interrogating members of the study population is conducted in Babylon Prpvince. To conduct the study, a non-probability (purposive) sample of (150) clientele who attend beauty facilities in Babylon Province was chosen. The contentment with one's body image is addressed in the used questionnaire. The questionnaire's dependability was established through a pilot research, and it was subsequently presented to experts for validation. The information was gathered through interview techniques and analyzed using descriptive and inferential statistical data analysis. Results: Out of 150 participants aged 20-25 years at mean age is 26 (±4.98), the female clients predominated (82.7%), urban residents (86.0%), the single clients were composed the highest percentage (60.7%), the students clients were constituted the majority (92.0%), clients hasn't had any previous plastic surgery (72.7%), clients wants to have a rhinoplasty (50.7%) to improve their appearance (89.3). There were significant correlation (positive) between body image and quality of life (r=0.168; p=0.040), and simple liner regression confirmed that the body image had been affected quality of life. Conclusions: A negative body image contributes to poor quality of life, which can lead to more susceptible to many disturbances in physical, psychological and social. Body image dissatisfaction is associated with marked impairment in aspects of quality of life relating to mental health and psycho-social functioning and at least some aspects of physical health. It is need to be counseling program to attain a realistic, positive perception of their body image and to overcome the negative views about their body image in order to enhance their self-esteem and different dimensions of their quality of life. Keywords: Body Image, Quality of Life, Aesthetic Surgery, Clients

The association between empathy and the physiotherapy–patient therapeutic alliance: A cross‐sectional study

BackgroundThe central component of person-centred care is in having a therapeutic realtionship. Furthermore, the empathy of the physiotherapist is one of the most important attributes in achieving a successful therapeutic alliance. ObjectiveThe aim of the research was to determine the association between the constructs of empathy and therapeutic alliance in Spanish physical therapists and the possible influence of socio-professional variables on them. DesignCross-sectional research. MethodsAn electronic survey including the Working Alliance Inventory-Short Form, the Interpersonal Reactivity Index and sociodemographic data with 473 Spanish physiotherapists. A descriptive, bivariate and simple lineal regression analysis was carried out. ResultsWork experience has a positive influence on bonding and the agreement on objectives and tasks (0.04 < B > 0.06; p < 0.01). The perspective taking dimensions and empathic concern positively influence the agreement on achievement (0.14 < B > 0.19; p < 0.001). Personal distress inversely influences bonding and the agreement on achievements and tasks (−0.13 < B > −0.09; p < 0.01). ConclusionsThe dimensions of perspective taking and empathic concern seem to facilitate successful shared decision making in terms of treating objectives. Furthermore, the physiotherapist's personal distress acts as an obstacle to the development of the three subcomponents of the therapeutic alliance analysed.

Cryptococcus pneumonia: Helpful findings for diagnosing cryptococcal pneumonia on CT in residents

Background: Pulmonary cryptococcosis has various CT findings which can be often misdiagnosed as other diseases to delay patient’s treatment. It is actually very difficult to diagnose pulmonary cryptococcal pneumonia on chest CT, especially for inexperienced residents. Purpose: To investigate whether there are new CT findings that may be helpful to residents when diagnosing cryptococcal pneumonia with CT. Materials and methods: We retrospectively reviewed chest CT findings of 23 patients with pathologically proven PC from 2007 to 2018 in our hospital. Eight residents independently read chest CT twice at regular intervals, and at the second reading, the patient’s clinical information and one additional CT finding were provided. Correlation between CT findings and diagnosis accuracy for cryptococcal pneumonia were compared by simple liner regression. Results: Most common pulmonary lesion identified on CT was multiple nodules (n = 15, 65.2%), followed by masses (n=8, 34.8%). The distribution of located within 2 cm below pleural and distributed along the bronchi, which 19 (82.6%) patients were observed in their CT images, and enhancement of nodule or mass were significant correlated for CT findings and diagnostic accuracy on cryptococcal pneumonia, which p-value were 0.018 and 0.007 respectively. Conclusion: In order to accurately diagnose pulmonary cryptococcal pneumonia, clinical information including the patient’s immune status and nodules clustered within 2 cm of the bronchi on the chest CT verified in this study are helpful to trainers Keywords: pulmonary; infection; cryptococcosis; radiographic features; diagnosis.

Determinant of Intimate partner violence Family: parametric Statistics of the influence of household decision-making autonomy and Family Income Status

The study is an analysis of the relationship between household decision-making autonomy, family income status and intimate partner violence in Calabar South, Cross River State, Nigeria. Adopting the exchange/social control theory, the study applied the survey research design in gathering data from 383 respondents from Calabar South, using a structured interview questionnaire. Elicited data was analyzed using simple lineal regression at 0.05 alpha Level. Result revealed that household decision making autonomy and family income status has significant influence on intimate partner violence in Calabar South Local Government Area The study thereby calls for the development of evidence-based culturally appropriate interventions that address the issue of unequal power relations between men and women

PENGARUH KUALITAS PRODUK DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN PELANGGAN PRODUK PT. SAYAP MAS UTAMA

&lt;em&gt;To describe product quality, promotion and customer purchasing decision products of PT. Sayap Mas Utama, and to analysis the effect of quality products on customer ourchasing decisions PT. Sayap Mas Utama. This study uses data collection methods. Using a questionnaire, the data analysis method used is descriptive analysis, simple liner regression. The result of the study show that promotion positive and significant effect on customer satisfaction the quality of service has a positive effect and significant to customer satisfaction PT. Sayap Mas Utama.&lt;/em&gt;

Room staff radiation dose in a vascular surgery hybrid operating room and evaluation of a real-time radiation dosimeter

Abstract Objective Real-time radiation dosimeter have been shown to decrease radiation exposure of the staff. This effect is mainly explained by increased awareness of the radiation due to direct radiation exposure feedback to the operator. We aimed to measure the radiation exposure of all staff members working in a hybrid operating room and wanted to compare the equivalent doses of real-time radiation dosimeters with thermoluminescence dosimeters. Methods Prospective non-randomized comparative trial. From April – October 2019, all staff members working in a hybrid operating room were equipped with real-time radiation dosimeters (Unfors RaySafe i3). The table positions of all staff members were documented. In addition, the first operator was equipped with a thermoluminescence Hp(3) eye lens dosimeter (TLD) placed outside the lead glasses to validate the real-time radiation dosimeter. Results The median dose of the operator / the first assistant was 73.6 µSv / 21.8 µSv for EVAR (n = 30); 57.25 µSv / 18.2 µSv for TEVAR (n = 23); 207.0 µSv / 76.65 µSv for more complex aortic procedures (f/bEVAR etc.; n = 15); 14.85 µSv / 8.5 µSv for occlusive disease of the iliac arteries (n = 27) and 6.1 µSv / 3.4 µSv for occlusive disease of the peripheral arteries (n = 53). The anesthesiologist’s median dose was 0.3 µSv, with highest values in f/bEVAR (3.9µSv). The scrub nurse’s median dose was 2 µSv with highest values in f/bEVAR (24 µSv). The position of any staff member at the left arm for transbrachial cannulation in f/bEVAR was associated with higher median equivalent radiation doses compared to the right femoral position (272.5 vs. 207 µSv for the operator (p=ns), 175.3 vs. 27.8 µSv for the first assistant (p = 0.027) and 45.55 vs. 8.0 µSv for the scrub nurse (p = 0.14)). The equivalent doses of the TLD and RaySafe did not correlate well using simple lineal regression analysis (r2 0.1713, p = 0.0014). Conclusion With the RaySafe real-time radiation dosimeter, table positions with increased radiation exposure can be identified. This allows for improvement in shielding at these positions, possibly leading to lower radiation exposure of the staff.

INFLUENCE OF THE MIX OF PRICE, PLACE, PROCESS ON GUEST SATISFACTION OF GRAND ORRI BERASTAGI HOTEL IN 2021

The purpose of the research is to find out the influence of Price, Place, Process on Guest satisfaction at Grand Orri Berastagi Hotel. The type of research used is a quantitative approach. The sample used as many as 95 hotel guests as respondents. Data collection techniques using questionnaires. Data analysis techniques use validity test, reliability test, normality test, heterokedasity test, multiconearity test, simple liner regression test, partial test (t test), model test (F test), and determination coefficient test. The results showed that Price, Place, Process had a significant effect on guest satisfaction.

Predictors of Severe Perineal Tear during Delivery in Yenagoa, Southern Nigeria

Background:Perineal tear is a very common complication of vaginal delivery, and it is often mild. However, when severe, it could result in torrential life threatening hemorrhage and anal sphincter injury, with fecal incontinence.&#x0D; Objective: The objective of this study is to determine the predictors of severe perineal tear (3rd and 4th degree tear), using mild perineal tear (1st and 2nd degree) as control. It would also determine the rate of perineal tear, and the maternal and fetal demographic risk factor associated with it.&#x0D; Materials and Methods: This was an analytic observational study of 186 women who had perineal tear during vaginal delivery. Out of these, 19 women had severe (3rd and 4th degree) perineal tear, also known as obstetrics anal sphincter injury (OASI). This was compared to 167 women who had mild perineal tear (1st and 2nd degree) during the study period.&#x0D; Maternal demographic information retrieved was maternal age, parity, educational level, and occupation. Obstetrics factors were booking status, gestational age at delivery, mode of delivery, rank of the accoucheur (nurse or doctor), and degree of perineal tear. Fetal demographic data was birth weight and fetal sex.&#x0D; Categorical variables were compared with odds ratio, difference in mean was compared with student’s t-test, and the degree of association for quantitative variables was determined using Pearson’s correlation coefficient. Predictor variables were determined using simple logistic regression, and multivariate analysis. Confidence interval was set at 95%, and statistical significance was set at p value of &lt; 0.05.&#x0D; Results: The prevalence of OASI (3rd and 4th degree perineal tear) in Yenagoa was 1.1%. The significant risk factors were women of younger age, odds ratio = 1.04(0.37, 2.87) with p = 0.04, low parity, odds ratio = 0.20(0.07, 0.55) with p = 0.008, low educational background, odd ratio = 18.9(5.92, 60.81), and birth weight ≥ 4kg, odds ratio = 0.30[0.09, 1.06] with p = 0.04.&#x0D; Using simple liner regression, the most significant predictors for severe perineal tear were mode delivery (r2 = 65.5%), and educational level (r2 = 30.0%). However, on stepwise multivariate analysis, these two factors accounted for 68.5%.&#x0D; Conclusion: The rate of severe perineal tear is relatively low in Yenagoa, Nigeria, and comparable to what obtains in many countries. The most significant predictors were mode of delivery and educational level. Careful selection of the mode of delivery, especially instrumental vaginal deliveries, and women empowerment could minimize the rate in our environment.

Women and Small Business: Contributing to Household income and Family wellbeing

The objective of the study is to examine the extent to which women involvement is small business contributes to household income and family wellbeing. The study adopted the survey research method in collecting data from 317 women from Yala Local Government Area of Cross River State, Nigeria using Cluster and Purposive sampling technique. The Survey Monkey Sample Determinant Technique was used to determine the sample size for the study. The instrument of data collection was a semi-structured self-developed questionnaire. Data collected from the Field was analyzed using descriptive statistic and parametric statistic (Simple Lineal Regression) at 0.05 level of significance. The result from the descriptive statistics revealed that most of the women used in the study, 97.41 per cent do not depend solely on their husband income. 63.70 cent of women spend all the money from their endeavour in taking care of their homes. 81.10 per cent of the women reported that they are able to contribute to the household and take care of themselves. From the parametric statistics carried out, result revealed a significant correlation between women involved in small business and household income and family wellbeing in Yala. The study thereby concludes that women in small business significantly contribute to household income and family wellbeing. The study calls for governmental effort towards improving the capacity of women in Yala through self-help programs and microcredit.

Assessing the Impact Covid-19 Pandemic on the Educational Development of Secondary School Students

The current COVID-19 pandemic affecting nearly all nations of the world have had a profound impact on education. In Nigeria, as the cases of infection continue to increase and the extension of measures to curb the spread of the virus now points to the fact that schools are not physically resuming anytime soon. This study examined the extent to which the COVID-19 pandemic measures have affected the educational developmentof secondary school students in Calabar South Local Government Area of Cross River State, Nigeria. Using the descriptive survey method, data was collected from a sample of 400 samples from a population of 191,630 of Calabar South, Cross River State. The sample size was determined using the Slovin Sample Size Formula. The sample was selected using the stratified, purposive and random sampling technique. the instrument of data collection is a semi-structured questionnaire. Data collected was analyzed using descriptive statistics and Simple Lineal Regression at 0.05 level of significance. Result revealed a significant negative effect of the COVID-19 pandemic measures on the educational development of secondary school students in Calabar South, Cross River State, Nigeria. the study recommends amongst others that the Nigerian government need to copy from other developed nation by partnering with its postal service to deliver worksheets to students in their home especially in low-income families that cannot afford computers.