Differentiating the Principals’ Leadership Behaviour in High and Low-Achieving School of Nepal: A Quantitative Study

School principal leadership plays a significant role in school success, through its effects on teachers' perception, attitudes, and behaviours. However, the knowledge of how teachers and principal themselves perceive the principals leadership behaviour in high-achieving school and low achieving school in least develop country like Nepal is very limited. Most existing evidence focuses on developed country that are no the results that can be apply in least develop and developing countries, which why we lack solid operative knowledge on teachers perception on leadership behaviour in high-and low achieving schools of least develop country. This study seeks to address this lacuna. This quantitative study examined and compared the leadership style of high-and low-achieving school’s principal that serve socially and economically disadvantaged population through the perception of the teachers and principals themselves. Leadership Behaviour Inventory Questionnaire (Green, 2006) was administered to 547 teachers and 12 principals of six nationally awarded high- achieving schools and six low- achieving schools of Nepal. The finding revealed that teachers in the high-achieving schools consistently viewed their principals’ behaviour more positively than did their counterparts in the low-achieving schools. High-achieving school principals exert influence on teachers. The study also found that principals in high-and low-achieving schools had minimal differences in how they perceived their leadership styles in regard to thirteen core competencies. Keywords: school principal, teachers, leadership, high-achieving school, low-achieving school, student achievemen

Corporal Punishment in Private Schools: The Case of Kathmandu, Nepal

The purpose of this study was to elaborate the situation of corporal punishment which is being practiced in Nepalese schools going against new policies that promote the non-violence teaching. It was based on original qualitative study of one private school of Kathmandu (the capital city of Nepal) having more than 2000 students and 100 teachers. Results from FGD, observation of the classroom practice, situational interviews with parents, teachers and students indicated that most teachers as well as parents thought, the best way to discipline children is punishment because it creates fear in them and this prevents misbehavior, promotes obedience and help to perform high academically. Teachers and administrators were found ignoring the rights of child and about the principles of child psychology and development.  Students had accepted the corporal punishment as a culture of school. This study is significant to know why teachers in private schools in Nepal often use the corporal punishment on students during teaching and learning periods. So this study is important for the government of Nepal, organization involving to child rights and stakeholders. The results showed the accepted and negated concept of social learning theory, power theory and choice theory by the parents, teachers, school principal and students. Keywords: Corporal punishment, Private school, Teachers, Parents, Students, Discipline, Violenc

Antihypertensive Drug Use Pattern in a Tertiary Care Hospital of Western Region of Nepal: A Cross-Sectional Study

Introduction: Assessing antihypertensive drug use pattern always plays an important role to mitigate the burden of hypertension and also helps doctors to prescribe the drugs rationally. This study was conducted to assess antihypertensive drug use pattern in a tertiary care hospital. Methods: An observational cross-sectional study was conducted in the Internal Medicine department of Lumbini Medical College and Teaching Hospital from July 2021 to December 2021 for the duration of five months after ethics approval. Hypertensive patients who were prescribed one or more antihypertensive drugs irrespective of age and gender were included. Socio-demographic profiles, clinical characteristics, and antihypertensive drug use-related data were collected. A convenience sampling technique was used. Categorical variables were expressed as frequency and percentage while continuous variables were reported as mean ± standard deviation. Results: A total of 224 patients were included. The average number of antihypertensive drugs per patient was 1.7 ± 0.8. Combination drug therapy (54.5%) was commonly used. Calcium channel blockers (Amlodipine) were commonly prescribed (66.5%). Moreover, 98.7% and 41.5% patients were prescribed drugs from Essential Drug List of Nepal (Revised 2016) and in Fixed Dose Combination respectively. Use of combination drug therapy was higher among male patients (p = 0.003) and patients with stage II hypertension (p < 0.001). Conclusion: Calcium channel blockers were commonly used as monotherapy and in combination therapy as well. In approximately all of the patients, antihypertensive drugs were used from the essential drug list of Nepal which is an essential component of rational use of medicine

Echocardiographic profile of patients with cardiomyopathy

Introduction: Cardiomyopathies represent a heterogeneous group of diseases that often lead to progressive heart failure with significant morbidity and mortality. Exact epidemiological data on cardiomyopathy in Nepal are lacking. This study was done to observe the demographic and echocardiographic profile of patients with cardiomyopathy attending a medical college teaching hospital. Methods: Trans-thoracic two-dimensional echocardiographic study was performed by first author on all patients with cardiomyopathy over a period of six months. Patients’ demographic and echocardiographic data were collected and analyzed using SPSS version 20 software. Student t-test and Chi-square test were applied where appropriate. Results: A total of 60 patients were studied from October 2017 to March 2018. Mean age of all participants was 56.38 years (SD = 13.86). Mean age of males was significantly higher than that of females (60.96 yrs, SD = 13.61 versus 51.62 yrs, SD = 13.47) in dilated cardiomyopathy subgroup (p < 0.05). Of all patients, 32 (53.33%) had dilated cardiomyopathy (idiopathic) and 13 (21.66%) had ischemic cardiomyopathy. Conclusion: Our study highlighted significant burden of dilated cardiomyopathy. Dilated cardiomyopathy appeared in females at earlier age compared to males. Potentially reversible cardiomyopathies like alcoholic and peripartum cardiomyopathies were also present which have a probability of cure if treated properly

Higher education initiative challenges based on multiple frames of leadership: the case of Nepal Open University

The purpose of this article is to present the challenges faced in implementing open and online learning by the recently established Open University of Nepal (NOU), which has been offering limited courses in graduate study, all blended since 2018. University leaders, faculty members, technical staff, and students at Nepal Open University participated in semi-structured interviews to evaluate the perceived challenges of implementing online learning. Using the perspectives of Bolman and Deal’s four frames as a guide, participants discussed the challenges they experienced at their institution; these included financial limitations, lack of instructor, and familiarity with online learning, the absence of a Human Resources unit, slow governmental functioning, and a lack of quality assurance policies

CapsNh-Kcr: Capsule network-based prediction of lysine crotonylation sites in human non-histone proteins

Lysine crotonylation (Kcr) is one of the most important post-translational modifications (PTMs) that is widely detected in both histone and non-histone proteins. In fact, Kcr is reported to be involved in various biological processes, such as metabolism and cell differentiation. However, the available experimental methods for Kcr site identification are laborious and costly. To effectively replace existing experimental approaches, some computational methods have been developed in the last few years. The available computational methods still lack some important aspects, as they can only identify Kcr sites on either histone-only or combined histone and nonhistone proteins. Although a tool was developed to identify Kcr sites on non-histone proteins only, its performance is inadequate and the exploration of hidden Kcr patterns (motifs) has been completely ignored, which might be significant for detailed Kcr studies. Therefore, algorithms that can more effectively predict Kcr sites on non-histone proteins with their biological meaning need to be designed. Accordingly, we developed a novel deep learning (capsule network)-based model, named CapsNh-Kcr, for Kcr site prediction, particularly focusing on non-histone proteins. Based on the independent results, the proposed model achieves an AUC of 0.9120, which is approximately 6% higher than that of previous nhKcr model in the prediction of Kcr sites on non-histone proteins. Further, we revealed, for the first time, that the proposed model can represent obvious motif distribution across Kcr sites in non-histone proteins. The source code (in Python) is publicly available at https://github.com/Jhabindra-bioinfo/CapsNh-Kcr

Combination Therapy in Diabetes Mellitus Patients Attending Outpatient Department in a Tertiary Care Centre: A Descriptive Cross-sectional Study

Introduction: Assessing anti-diabetic drug use patterns in hospitals is an important activity which helps to promote the rational use of drugs and may suggest measures to change prescribing habits for the better. This study aimed to find the use of combination therapy in diabetes mellitus patients attending the outpatient department of a tertiary care centre. Methods: A descriptive cross-sectional study was conducted among 201 diabetes mellitus patients in the internal medicine department from 2 March 2022 to 30 June 2022 for a duration of four months after approval from the Institutional Review Committee (Protocol No: IRC-LMC-01/R-022). Diabetic patients prescribed at least one anti-diabetic drug in prescription forms were included. Socio-demographic profiles, clinical characteristics and anti-diabetic drug use pattern-related data were collected. Convenience sampling was used. Point estimate and 95% Confidence Interval were calculated. Results: Among 201 patients, 134 (66.66%) (60.14-73.18, 95% Confidence Interval) patients were given combination therapy. The most common combination therapy was metformin 500 mg and sitagliptin 50 mg. A total of 324 anti-diabetic drugs were used. The average number of drugs prescribed per patient was 1.6±0.7. The number of anti-diabetic drugs prescribed by generic name and from the national essential drugs list was 74 (22.83%) and 188 (58.02%) respectively. Biguanides were used in 176 (87.56%) patients. Conclusions: These findings were similar to some other studies conducted in similar settings. In most patients, combination drug therapy was more prevalent. Among combination therapy, two drug combinations were more prevalent

Genetic Analysis of Gossypium Fiber Quality Traits in Reciprocal Advanced Backcross Populations

In mapping populations segregating for many loci, the large amount of variation among genotypes often masks small-effect quantitative trait loci (QTL). This problem can be reduced by development of populations with fewer chromosome segments segregating. Here, we report early QTL detection in reciprocal advanced backcross populations from crosses between elite Gossypium hirsutum L. ‘Acala Maxxa’ (GH) and G. barbadense L. ‘Pima S6’ (GB). A total of 297 BCF and BCF progeny rows—127 segregating for GB chromosome segments in GH background and 170 segregating for GH chromosome segments in GB background—were evaluated in three environments. Totals of 3186 and 3026 polymorphic single-nucleotide polymorphisms (SNPs) in GH and GB backgrounds, respectively, were identified and used for trait mapping. Small-effect QTL (<10% variance explained) made up 87 and 100% of QTL in GH and GB backgrounds, respectively. In both species, favorable alleles were found with effects being masked or neutralized by unfavorable alleles, with greater scope for improvement of GH than GB by introgressive breeding. A total of three stable QTL—two in GH background for fiber elongation (ELO) and micronaire (MIC) and one in GB background for upper-half mean length (UHM)—were identified in two out of three environments. Curiously, only four QTL—three for UHM and one for ELO—showed the expected opposite effects in reciprocal backgrounds, perhaps reflecting the combined consequences of epistasis, small phenotypic effects, and low coverage of some genomic regions. Along with new information for marker-assisted breeding, this study adds to knowledge that can be used to unravel complex genetic networks governing fiber quality traits

Molecular Dissection of Quantitative Variation in Bermudagrass Hybrids (Cynodon dactylon x transvaalensis): Morphological Traits

Bermudagrass (Cynodon (L.)) is the most important warm-season grass grown for forage or turf. It shows extensive variation in morphological characteristics and growth attributes, but the genetic basis of this variation is little understood. Detection and tagging of quantitative trait loci (QTL) affecting above-ground morphology with diagnostic DNA markers would provide a foundation for genetic and molecular breeding applications in bermudagrass. Here, we report early findings regarding genetic architecture of foliage (canopy height, HT), stolon (stolon internode length, ILEN and length of the longest stolon LLS), and leaf traits (leaf blade length, LLEN and leaf blade width, LW) in 110 F1 individuals derived from a cross between Cynodon dactylon (T89) and C. transvaalensis (T574). Separate and joint environment analyses were performed on trait data collected across two to five environments (locations, and/or years, or time), finding significant differences (P < 0.001) among the hybrid progeny for all traits. Analysis of marker-trait associations detected 74 QTL and 135 epistatic interactions. Composite interval mapping (CIM) and mixed-model CIM (MCIM) identified 32 main effect QTL (M-QTL) and 13 interacting QTL (int-QTL). Colocalization of QTL for plant morphology partially explained significant correlations among traits. M-QTL qILEN-3-2 (for ILEN; R2 = 11–19%), qLLS-7-1 (for LLS; R2 = 13–27%), qLEN-1-1 (for LLEN; R2 = 10–11%), and qLW-3-2 (for LW; R2 = 10–12%) were ‘stable’ across multiple environments, representing candidates for fine mapping and applied breeding applications. QTL correspondence between bermudagrass and divergent grass lineages suggests opportunities to accelerate progress by predictive breeding of bermudagrass