A Study of Teaching Competency in Relation with Attitude Towards Creative Teaching of B.Ed. Trainee-teachers

This paper is a study of the relation of teaching competency to the attitude towards creative teaching of trainee-teachers for Himalayan region. Due to technological interventions the world is changing quickly, a teacher requires to teach effectively with creative ideology in order to students make perfect for the competitive world. Competent teacher always requires creative teaching &continuous efforts on the development of new trends of teaching. Himalayan regions each levels of educational institutions news very sad to teacher’s services has affected by geographical barriers i.e. extreme and remote areas located regions of Himalayan Garhwal territories. Teaching involves various skills, ideas, thinking and important determinant are teaching can be made creatively, its how teacher learns and succeed in real class room situations. The present study has conducted on the sample of 264 B.Ed. trainee-teachers in various teachers training institutions. General Teaching Competency Scale developed by Dr. B.K. Passi and M.S. Lalita (1994) and Attitude scale towards creative teaching has developed by Dr. R.P. Shukla (2012) used to collect the data administer on two years B.Ed. training programme. During school internship regular teaching classes of B.Ed. programme was scheduled, Micro and Macro teaching skill demonstration as theory were taught bytrainee-teachers as a part of their third semester. The collected data analyzed with statistics of mean, SD, t-test and correlation of Pearson-r used for the descriptive research. The results in this study revealed that Teaching Competency and attitude towards creative teaching has difference exists in percentage of trainee-teachers. The teaching competency of trainee-teachers is founda significance differences between the Pedagogical groups. Attitude of trainee-teachers towards creative teaching mean have significant difference exists in their Gender, Caste, and Qualifications bases. The influence of teacher training programme on attitude towards creative teaching of Science stream is highest with the comparison of Humanities streams trainee-teachers. Find a positive relation in teaching competency with attitude of trainee teachers towards their creative teaching. Keywords: Teaching Competency, Creative Attitude, trainee-teachers and Himalayan region institutions

Lost in Transition! An Analysis of Justice Implications for Energy Transition in India

This study offers an analysis of India's transition to renewable energy sources, viz., solar and wind power, and the social justice implications of this transition. It adopts a comprehensive historical approach and situates India's renewable energy policy within the historical legacy of post-colonialism and the influence of neoliberalism since the 1990s. The analysis covers the entire commodity chain, ranging from the manufacturing of solar panels to the generation and distribution of energy. The study finds that the existing scholarship on energy transition in India overlooks the distributed forms of renewable energy, such as community solar power and the concerns of certain sections of society, particularly ordinary consumer citizen, farmers, and pastoralists. The study examines the justice implications of India's transition to renewable energy, including mass human rights violation and forced labour during the manufacturing of solar cells and modules in China’s Xinjiang province. Additionally, the study analyses land acquisition for solar power in India, elucidating the potential for social injustices and loss of livelihoods to ensue throughout renewable energy value chains. The study enlarges ethical evaluations of energy technology development and policy during energy transition, positing energy as a socially and environmentally integrated justice issue. It also identifies need for locating and integrating human rights violations in any country that is part of renewable energy supply chain of India's as a "dark side" of India's energy transition. Overall, the study advocates for prioritizing social justice considerations in energy transitions and calls for a more equitable and sustainable energy system. It expands the concept of energy justice to include geographies and spaces of large-scale transboundary human rights violations

Direct, residual and cumulative effects of organic manures and biofertilizers on yields, NPK uptake, grain quality and economics of wheat (Triticum aestivum L.) under organic farming of rice-wheat cropping system

Field experiments were conducted at the research farm of the Indian Agricultural Research Institute, New Delhi during rabi (winter) season of 2007-2008 and 2008-2009 on a sandy clay loam soil (typical Ustochrept, 51.46% sand, 23.02% silt and 25.52% clay) of low in organic C (0.57%), medium in available phosphorus (19.87 kg/ha), high in available potassium (247.12 kg/ha) and low in available nitrogen (163.2 kg/ha) and of pH 8. Results revealed that the cumulative effects of farmyard manure (FYM) and green manure (GM) were more effective than their direct and residual effects and GM was significantly superior to FYM for increasing the productivity, nutrient uptake, grain quality and gross and net income of wheat in the rice-wheat cropping system. Further, inoculation of biofertilizers (B) with GM was better than GM alone in its cumulative effect. The combination of GM + FYM was still better than GM or FYM alone in its direct and cumulative effects for increasing productivity and gross return, but net return was significantly reduced due to the higher cost of GM + FYM compared to FYM or GM alone. However, the residual effect of GM + FYM was similar to the cumulative effects of GM or FYM alone. The highest increase in productivity, grain quality and nutrient uptake was recorded with the application of GM + FYM + B. However, net return was significantly reduced due to the higher cost incurred in the combination of GM + FYM + B. It was concluded that the cumulative effect of GM + FYM + B for higher productivity and the cumulative effect of GM + B for higher net return were suitable for wheat in organic farming of the rice-wheat cropping system

MHD mixed convection boundary layer flow on a vertical permeable stretching sheet embedded in a porous medium with slip effects

In this paper, we investigate the problem of two-dimensional MHD mixed convection flow over a vertical permeable sheet embedded in a porous medium, with partial slip condition at the boundary. The nonlinear coupled boundary-layer equations have been transformed using an appropriate similarity transformation and resulting ordinary differential equations have been solved by Runge-Kutta fourth order method along with shooting technique. The influence of magnetic parameter M, permeability parameter K, buoyancy or mixed convection parameter λ, suction parameter S, slip parameter δ and Prandtl number Pr has been studied. It is found that these parameters have essential effects on the features of flow and heat transfer. Further, the present solutions are also validated by comparing with the existing solutions

Defying the paradigm — rescue thrombolysis in a postoperative patient with pulmonary embolism

Parenteral anticoagulation is recommended for patients of intermediate — high early mortality risk pulmonary embolism. Rescue reperfusion is considered if signs of hemodynamic decompensation appear. Recent surgery is a contraindication to thrombolysis. Percutaneous catheter directed thrombolysis and surgical embolectomy can be done in such patients. However, they are not readily available. We hereby report a case of rescue thrombolysis in a post lower segment caesarean section (LSCS) patient with pulmonary thromboembolism. We could successfully achieve thrombolysis in our patient with improvement in clinical and hemodynamic parameters and with no major bleeding from any site

Fusarium Wilt: A Destructive Disease of Banana and Their Sustainable Management

Banana is one of the most important fruit crops. The major losses in banana mainly due to the fungal wilt disease which is caused by Fusarium oxysporum f. sp. cubense. The pathogen is mainly soil bone and saprotrophic in nature that’s why its management is very difficult. The yearly losses of banana by this disease in the world is ranging from 60 to 90% and in India 30–40%. Sustainable management of panama wilt is must to overcome these losses occur in banana. The management strategies for longer duration through crop rotation, organic amendment, application of micronutrient like silicon (Si), borax, host-pathogen interaction, hormonal induction of defence response, biological control, transgenic approach, disease resistance developed by somaclonal variation. These approaches are mainly emphasized for long term management of the panama wilt disease

Cotrimoxazole-induced SIADH — a unique challenge during treatment of pulmonary nocardiosis

A 62 year old male non-smoker diagnosed with pulmonary nocardiosis was initiated on Cotrimoxazole therapy at a dose of 20 mg/kg per day in three divided doses. He developed hyponatremia (serum sodium 105 mEq/L) on day 3 of therapy. The potential causes of hyponatremia were evaluated. After ruling out other causes, the cause was suspected to be Cotrimoxazole-induced syndrome of inappropriate anti-diuretic hormone secretion (SIADH). We subsequently re-initiated therapy with Cotrimoxazole and the hyponatremia (serum sodium 110 mEq/L) recurred. Upon discontinuation of therapy, serum sodium levels returned to normal. The patient was started on Amoxycillin-Clavulanic Acid as an alternative therapy for pulmonary nocardiosis which resulted in resolution of the hyponatremia. Cotrimoxazole-induced SIADH is a rare occurrence. This case is representative of a patient with Cotrimoxazole-induced SIADH and the causal relationship was confirmed once resumption of therapy with the offending medi-cation resulted in hyponatremia. Clinicians should be aware of this rare adverse effect of Cotrimoxazole and should monitor serum electrolytes during therapy, especially in the elderly and in those receiving high doses

Influence of sowing time and phosphorus on, phenology, thermal requirement and yield of fenugreek (Trigonella foenum-graecum L.) genotypes

Experiments were conducted at Hisar (Haryana, India) to study the effect of sowing time and phosphorus on phenology, thermal requirement and yield of two genotypes of fenugreek (Trigonella foenum-graecum). Genotype HM-65 performed better than T-8 with respect to yield and was more efficient in utilizing heat units. Delayed sowing resulted in significant reduction in time taken for initiation of flowering and maturity in both the genotypes. Thermal requirement decreased with delay in sowing in both the genotypes. Increasing levels of phosphorus up to 60 kg/ha significantly enhanced the yield but heat unit consumption slightly declined in both file genotypes. &nbsp

Using a simple open-source automated machine learning algorithm to forecast COVID-19 spread: A modelling study

Introduction: Machine learning algorithms have been used to develop prediction models in various infectious and non-infectious settings including interpretation of images in predicting the outcome of diseases. We demonstrate the application of one such simple automated machine learning algorithm to a dataset obtained about COVID-19 spread in South Korea to better understand the disease dynamics.Material and methods: Data from 20th January 2020 (when the first case of COVID-19 was detected in South Korea) to 4th March 2020 was accessed from Korea’s centre for disease control (KCDC). A future time-series of specified length (taken as 7 days in our study) starting from 5th March 2020 to 11th March 2020 was generated and fed to the model to generate predictions with upper and lower trend bounds of 95% confidence intervals. The model was assessed for its ability to reliably forecast using mean absolute percentage error (MAPE) as the metric.Results: As on 4th March 2020, 145,541 patients were tested for COVID-19 (in 45 days) in South Korea of which 5166 patients tested positive. The predicted values approximated well with the actual numbers. The difference between predicted and observed values ranged from 4.08% to 12.77% . On average, our predictions differed from actual values by 7.42% (MAPE) over the same period.Conclusion: Open source and automated machine learning tools like Prophet can be applied and are effective in the context of COVID-19 for forecasting spread in naïve communities. It may help countries to efficiently allocate healthcare resources to contain this pandemic