The Relation Between ‘Student Loyalty’ and ‘Student Satisfaction’ (A case of College/Intermediate Students at Forman Christian College)

Due to the increase in the number of educational institutions in the past few years, the competition has significantly increased. This change in the environment has shown the declining trends in enrollments and also in low quality students. It is becoming extremely important that policy makers of educational institutions find ways to increase the loyalty of their students. Such type of student loyalty can help in marketing the institutions by spreading a good word of mouth. In order to do so, institutions should find the areas which contribute more in student loyalty towards their institution. This would also help to identify ways of attracting prospective students with tailored and aggressive marketing programs. The study was conducted with College/Intermediate students of Forman Christian College (FCC), a twoyear data has been considered to find the relationship between “student satisfaction” and “student loyalty” (spreading a good word of mouth and recommending their institution to others). 2,309, FCC students were surveyed, and correlation and regression analysis was performed to establish a model to predict “student loyalty” as a dependent, using “student satisfaction” as an independent variable. After performing the data analysis it was discovered that some of the satisfaction areas contribute in student loyalty as compared to others. Based on the results some suggestions and recommendation were made by the author that can help in creating a positive word of mouth among their alumni students, which can help in attracting good students for FCC

The Relation Between ‘Student Loyalty’ and ‘Student Satisfaction’ (A case of College/Intermediate Students at Forman Christian College)

Due to the increase in the number of educational institutions in the past few years, the competition has significantly increased. This change in the environment has shown the declining trends in enrollments and also in low quality students. It is becoming extremely important that policy makers of educational institutions find ways to increase the loyalty of their students. Such type of student loyalty can help in marketing the institutions by spreading a good word of mouth. In order to do so, institutions should find the areas which contribute more in student loyalty towards their institution. This would also help to identify ways of attracting prospective students with tailored and aggressive marketing programs. The study was conducted with College/Intermediate students of Forman Christian College (FCC), a twoyear data has been considered to find the relationship between “student satisfaction” and “student loyalty” (spreading a good word of mouth and recommending their institution to others). 2,309, FCC students were surveyed, and correlation and regression analysis was performed to establish a model to predict “student loyalty” as a dependent, using “student satisfaction” as an independent variable. After performing the data analysis it was discovered that some of the satisfaction areas contribute in student loyalty as compared to others. Based on the results some suggestions and recommendation were made by the author that can help in creating a positive word of mouth among their alumni students, which can help in attracting good students for FCC

Psychology, counseling psychology, and professional counseling: Shared roots, challenges, and opportunities

Psychology, counseling psychology, and professional counseling are at a crossroad. The growing movement to establish professional counseling as a distinct profession, based on an increasingly narrow definition of professional identity, is particularly relevant to counseling psychologists and professional counselors and has implications for the broader field of psychology. A brief systematic historical analysis of these professional specialties in the U.S. provides the context to examine current challenges, including proposed restriction of master’s level training, licensure or other authorization to practice, and employment to graduates of programs accredited by the Council for the Accreditation of Counseling and Related Educational Programs (CACREP). These restrictions reduce services to the public and threaten the viability of counseling psychology and professional counseling in the U.S. These challenges also have significant implications for counseling psychologists in Europe and internationally given similar efforts. Going beyond a call to action, the article concludes with recommendations for counseling psychologists and allied professionals to address shared challenges, maximize shared opportunities, and foster enhanced intra- and inter-professional collaboration and cooperation

The role of dwelling type when estimating the effect of magnetic fields on childhood leukemia in the California Power Line Study (CAPS).

PurposeThe type of dwelling where a child lives is an important factor when considering residential exposure to environmental agents. In this paper, we explore its role when estimating the potential effects of magnetic fields (MF) on leukemia using data from the California Power Line Study (CAPS). In this context, dwelling type could be a risk factor, a proxy for other risk factors, a cause of MF exposure, a confounder, an effect-measure modifier, or some combination.MethodsWe obtained information on type of dwelling at birth on over 2,000 subjects. Using multivariable-adjusted logistic regression, we assessed whether dwelling type was a risk factor for childhood leukemia, which covariates and MF exposures were associated with dwelling type, and whether dwelling type was a potential confounder or an effect-measure modifier in the MF-leukemia relationship under the assumption of no-uncontrolled confounding.ResultsA majority of children lived in single-family homes or duplexes (70%). Dwelling type was associated with race/ethnicity and socioeconomic status but not with childhood leukemia risk, after other adjustments, and did not alter the MF-leukemia relationship upon adjustment as a potential confounder. Stratification revealed potential effect-measure modification by dwelling type on the multiplicative scale.ConclusionDwelling type does not appear to play a significant role in the MF-leukemia relationship in the CAPS dataset as a leukemia risk factor or confounder. Future research should explore the role of dwelling as an effect-measure modifier of the MF-leukemia association

Anti-Müllerian hormone and ovarian morphology in women with hypothalamic hypogonadism

Context: Different phenotypical features of women with hypothalamic hypogonadism (HH), also known as World Health Organization-1 anovulation, including ovarian morphology, have been scarcely described in large cohorts. Some studies have reported increased levels of anti-Müllerian hormone (AMH) in women with HH. Objective: To assess whether women with HH, compared with healthy controls, have increased serum levels of AMH and what proportion of these women erroneously meet the Rotterdam Criteria for Polycystic Ovarian Syndrome (PCOS). Design, Setting and Participants: Retrospective cohort study in a Dutch academic medical center including 83 women with neither anovulation nor menstrual cycle disorders (healthy controls), 159 women with HH and 3640 women with PCOS. Age matching was used between the HH and PCOS group (1:2 ratio) to create a second group consisting of 318 age-matched women with PCOS. Intervention: None. Main outcome measures: AMH levels and ovarian morphology. Results: Median AMH serum levels for the HH group were 3.8 (<0.1–19.8), compared with 7.5 (<0.1–81.0) in the PCOS group and 1.9 (<0.1–21.5) in the control group (P < 0.001). In the HH group, 58 (36%) erroneously met the Rotterdam Criteria for PCOS (meeting 2 of 3 criteria). Conclusions: AMH levels are increased in women with HH. We hypothesize that this increase, although there was no increase in follicle count, may be explained by the presence of a relatively large pool of antral follicles smaller than 2 mm in diameter, that are undetectable by transvaginal ultrasound. This study highlights the importance of measuring gonadotropins and estradiol before diagnosing a patient with PCOS. (J Clin Endocrinol Metab 105: 1–7, 2020

Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound

Deep learning-based analysis of high-frequency, high-resolution micro-ultrasound data shows great promise for prostate cancer detection. Previous approaches to analysis of ultrasound data largely follow a supervised learning paradigm. Ground truth labels for ultrasound images used for training deep networks often include coarse annotations generated from the histopathological analysis of tissue samples obtained via biopsy. This creates inherent limitations on the availability and quality of labeled data, posing major challenges to the success of supervised learning methods. On the other hand, unlabeled prostate ultrasound data are more abundant. In this work, we successfully apply self-supervised representation learning to micro-ultrasound data. Using ultrasound data from 1028 biopsy cores of 391 subjects obtained in two clinical centres, we demonstrate that feature representations learnt with this method can be used to classify cancer from non-cancer tissue, obtaining an AUROC score of 91% on an independent test set. To the best of our knowledge, this is the first successful end-to-end self-supervised learning approach for prostate cancer detection using ultrasound data. Our method outperforms baseline supervised learning approaches, generalizes well between different data centers, and scale well in performance as more unlabeled data are added, making it a promising approach for future research using large volumes of unlabeled data

Residential mobility and childhood leukemia.

AimsStudies of environmental exposures and childhood leukemia studies do not usually account for residential mobility. Yet, in addition to being a potential risk factor, mobility can induce selection bias, confounding, or measurement error in such studies. Using data collected for California Powerline Study (CAPS), we attempt to disentangle the effect of mobility.MethodsWe analyzed data from a population-based case-control study of childhood leukemia using cases who were born in California and diagnosed between 1988 and 2008 and birth certificate controls. We used stratified logistic regression, case-only analysis, and propensity-score adjustments to assess predictors of residential mobility between birth and diagnosis, and account for potential confounding due to residential mobility.ResultsChildren who moved tended to be older, lived in housing other than single-family homes, had younger mothers and fewer siblings, and were of lower socioeconomic status. Odds ratios for leukemia among non-movers living &lt;50 meters (m) from a 200+ kilovolt line (OR: 1.62; 95% CI: 0.72-3.65) and for calculated fields ≥ 0.4 microTesla (OR: 1.71; 95% CI: 0.65-4.52) were slightly higher than previously reported overall results. Adjustments for propensity scores based on all variables predictive of mobility, including dwelling type, increased odds ratios for leukemia to 2.61 (95% CI: 1.76-3.86) for living &lt; 50 m from a 200 + kilovolt line and to 1.98 (1.11-3.52) for calculated fields. Individual or propensity-score adjustments for all variables, except dwelling type, did not materially change the estimates of power line exposures on childhood leukemia.ConclusionThe residential mobility of childhood leukemia cases varied by several sociodemographic characteristics, but not by the distance to the nearest power line or calculated magnetic fields. Mobility appears to be an unlikely explanation for the associations observed between power lines exposure and childhood leukemia

Diagnostic Interstitial Lung Diseases in Patients Having Normal Chest Radiograph through High Resolution Computed Tomography

Background: In Pakistan, the main cause of death is interstitial lung disease (ILD) i.e., 4.75%. In interstitial lung disease majority of the patients is about the age of 57.5 years. The age group maybe varying between the ages of 46 and 65 year. Female gender is more predominantly i.e., 65.6% in all types of ILD except the interstitial pulmonary fibrosis (P&lt; 0.001). Objective: The aim of our study is to diagnose interstitial lung diseases in patients having normal chest radiograph through high resolution computed tomography. Study design: Our study design was cross-sectional descriptive study. Material and method: The descriptive cross-sectional study was conducted in which data of 100 patients were taken. The data was collected from the Radiology department of Sheikh Zayed Hospital Rahim Yar Khan. After informed consent, data was collected through CT Toshiba 164 slices. Result: 100 patients were included in our study out of which 61 were females and 39 were male’s with the mean age of 49.32 years. The chest radiograph of the patients having ILD shows the patchy ground glass opacities (39.0%), consolidation of the lungs (21.0%), reticular shadowing (16.0%) and the pleural effusion (24.0%) while on the high-resolution computed tomography the patients were represented with ground glass haze (42.0%), calcific foci (21.0%), nodular lesion (16.0%), consolidation of the lungs (30.0%) and pleural effusion (22.0%). Conclusion: Chest radiograph nearly misses common radiographical features which are suggestive of interstitial lung disease but can be seen on High Resolution Computed Tomography (HRCT) due to its high resolution. So, it can be concluded that the HRCT is more efficient and authentic diagnostic equipment in assessing the Interstitial Lung Disease as compared to the chest radiograph. Keywords: Interstitial lung disease, Chest radiograph, Computed tomography, High resolution computed tomography. DOI: 10.7176/JHMN/91-04 Publication date:July 31st 202

Fail Over Strategy for Fault Tolerance in Cloud Computing Environment

YesCloud fault tolerance is an important issue in cloud computing platforms and applications. In the event of an unexpected system failure or malfunction, a robust fault-tolerant design may allow the cloud to continue functioning correctly possibly at a reduced level instead of failing completely. To ensure high availability of critical cloud services, the application execution and hardware performance, various fault tolerant techniques exist for building self-autonomous cloud systems. In comparison to current approaches, this paper proposes a more robust and reliable architecture using optimal checkpointing strategy to ensure high system availability and reduced system task service finish time. Using pass rates and virtualised mechanisms, the proposed Smart Failover Strategy (SFS) scheme uses components such as Cloud fault manager, Cloud controller, Cloud load balancer and a selection mechanism, providing fault tolerance via redundancy, optimized selection and checkpointing. In our approach, the Cloud fault manager repairs faults generated before the task time deadline is reached, blocking unrecoverable faulty nodes as well as their virtual nodes. This scheme is also able to remove temporary software faults from recoverable faulty nodes, thereby making them available for future request. We argue that the proposed SFS algorithm makes the system highly fault tolerant by considering forward and backward recovery using diverse software tools. Compared to existing approaches, preliminary experiment of the SFS algorithm indicate an increase in pass rates and a consequent decrease in failure rates, showing an overall good performance in task allocations. We present these results using experimental validation tools with comparison to other techniques, laying a foundation for a fully fault tolerant IaaS Cloud environment

Proximity to overhead power lines and childhood leukaemia: an international pooled analysis

© 2018, Cancer Research UK. Background: Although studies have consistently found an association between childhood leukaemia risk and magnetic fields, the associations between childhood leukaemia and distance to overhead power lines have been inconsistent. We pooled data from multiple studies to assess the association with distance and evaluate whether it is due to magnetic fields or other factors associated with distance from lines. Methods: We present a pooled analysis combining individual-level data (29,049 cases and 68,231 controls) from 11 record-based studies. Results: There was no material association between childhood leukaemia and distance to nearest overhead power line of any voltage. Among children living < 50 m from 200 + kV power lines, the adjusted odds ratio for childhood leukaemia was 1.33 (95% CI: 0.92–1.93). The odds ratio was higher among children diagnosed before age 5 years. There was no association with calculated magnetic fields. Odds ratios remained unchanged with adjustment for potential confounders. Conclusions: In this first comprehensive pooled analysis of childhood leukaemia and distance to power lines, we found a small and imprecise risk for residences < 50 m of 200 + kV lines that was not explained by high magnetic fields. Reasons for the increased risk, found in this and many other studies, remains to be elucidated