http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Corporate Governance Mechanisms and Bank’s Performance Evidence from Nepalese Commercial Bank
Azalli Bijay Lal Pradhan(Azalli Bijay Lal Pradhan ),Hemant Kothari(Hemant Kothari ),Tika Ram Chalise(Tika Ram Chalise ) KINFORMS 2023 Management Review Vol.18 No.1
Good governance is foremost in order to develop good corporate working culture. Governance includes all formal and informal rules under certain principles of accountability, transparency, and the rule of law. The implementation of corporate governance certainly influences the performance of the firm. This study focuses on the corporate governance practices implemented by the commercial banks of Nepal and their impact on the bank’s financial performance taking 11(2010-2020) years secondary data. The data were collected from Banking and Financial Statistics published by Nepal Rastra Bank. In addition to this, different published articles, reports, books, and magazines were also used. Multiple regression analysis was used to test the significance and importance of corporate governance in Nepalese Commercial Banks, where the dependent variable used was financial performance (ROA ROE and MB ratio), whereas the independent variables were Board Size, Independent directors, Board Meeting, Bank size, foreign ownership, government ownership, Bank Age. The result shows a positive relation of Age, Board size, independent directors, foreign ownership, firms’ size with the performance of the bank, whereas board meeting and government ownership shows negative relation.
Righting Precarious Lives: Violence, Vulnerability and Responsibility for the Other
Jajati K. Pradhan 부산대학교 한국민족문화연구소 2017 Localities Vol.7 No.-
As we live in the world today, as we experience our life in our global connectedness, we very much come witness a more vulnerable and uncertain world structured by violence (both material and ideological) across the matrix of race, class, sex, colour, nation and other identitarian and differential categories leading to the precariousness of life. In context of the governance of everyday life and in such differential arrangement certain lives are recognized as livable lives (and, so, valuable lives) while others are not in the normative frame of the “human” owing to the devaluation and dehumanization of these lives who have always been branded as (human) Others and, as a result, subjected to violence, vulnerability and precarity. The critical implication of such a state of life is profound in the sense that it imposes ethical obligation upon the global community to respond and redress with collective responsibility the specters of injustice and suffering. At the center of this (in)human state of affairs lies a certain idea and operation of the “human” or “Humanism” premised on the Enlightenment and its legacy that has come under scrutiny in recent critical humanistic scholarship. This presses the need for rethinking and remaking of the human through an alternative scheme of thought, knowledge and subject-production toward an ethically grounded collective mode of living through the acknowledgement of interdependency and relationality. Informed by this theoretical optic and drawing on the ethical scholarship of Derrida, Butler and Jajati K. Pradhan Levinas, specifically their critical take on violence and responsibility, this paper argues that to resist and redress violence it is critically imperative to work toward a relational social ontology by reworking the human subjectivity for the collective wellbeing of all (precarious) lives.
Inflammatory Myofibroblastic Tumor of the Urinary Bladder Managed by Laparoscopic Partial Cystectomy
Manas Ranjan Pradhan,Priyadarshi Ranjan,Ram Nawal Rao,Saurabh Sudhir Chipde,Krishna Pradhan,Rakesh Kapoor 대한비뇨의학회 2013 Investigative and Clinical Urology Vol.54 No.11
Inflammatory myofibroblastic tumor of the urinary bladder is a rare mesenchymal tumor with uncertain malignant potential. It often mimics soft tissue sarcomas both clinically and radiologically. Surgical resection in the form of partial cystectomy or transurethral resection remains the mainstay of treatment. Herein we report the case of an inflammatory myofibroblastic tumor in a young girl, which was managed by laparoscopic partial cystectomy. To the best of our knowledge, this is the first reported case of laparoscopic management of an inflammatory myofibroblastic tumor of the urinary bladder.
Estimation and Association of Genetic Diversity and Heterosis in Basmati Rice
Pradhan, Sharat Kumar,Singh, Sanjay,Bose, Lotan Kumar,Chandra, Ramesh,Singh, Omkar Nath The Korean Society of Crop Science 2007 Journal of crop science and biotechnology Vol.10 No.2
A representative group of 38 improved basmati lines including maintainers of sterile lines were studied for genetic diversity utilizing Mahalanobis $D^2$ statistics. A wide diversity was observed having ten clusters with high intra- and inter-cluster distance. Heterosis was estimated utilizing the cytoplasmic male sterile lines from the clusters having high intra- and inter-cluster distance. Highly heterotic hybrids were obtained from the hybridization programme. Cross combinations IR68281A/Pusa 1235-95-73-1-1, IR68281A/RP 3644-41-9-5, Pusa 3A/UPR 2268-4-1, IR 68281A/Pusa Basmati-1, IR68281A/BTCE 10-98, and IR58025A/HKR 97-401 were found to be highly heterotic for grain yield/plant with other agronomic and quality traits. Additionally, a positive association of intra-cluster distance with heterosis was observed, which could be utilized as a guideline for predicting heterosis in basmati hybrid rice breeding program. Also, a positive association between inter-cluster distance and heterosis was observed.
Design and development of an automated all-terrain wheeled robot
Pradhan, Debesh,Sen, Jishnu,Hui, Nirmal Baran Techno-Press 2014 Advances in robotics research Vol.1 No.1
Due to the rapid progress in the field of robotics, it is a high time to concentrate on the development of a robot that can manoeuvre in all type of landscapes, ascend and descend stairs and sloping surfaces autonomously. This paper presents details of a prototype robot which can navigate in very rough terrain, ascend and descend staircase as well as sloping surface and cross ditches. The robot is made up of six differentially steered wheels and some passive mechanism, making it suitable to cross long ditches and landscape undulation. Static stability of the developed robot have been carried out analytically and navigation capability of the robot is observed through simulation in different environment, separately. Description of embedded system of the robot has also been presented and experimental validation has been made along with some details on obstacle avoidance. Finally the limitations of the robot have been explored with their possible reasons.
Pradhan, B.,Lee, S. Elsevier Science 2010 Environmental modelling & software Vol.25 No.6
Data collection for landslide susceptibility modeling is often an inhibitive activity. This is one reason why for quite some time landslides have been described and modelled on the basis of spatially distributed values of landslide-related attributes. This paper presents landslide susceptibility analysis in the Klang Valley area, Malaysia, using back-propagation artificial neural network model. A landslide inventory map with a total of 398 landslide locations was constructed using the data from various sources. Out of 398 landslide locations, 318 (80%) of the data taken before the year 2004 was used for training the neural network model and the remaining 80 (20%) locations (post-2004 events) were used for the accuracy assessment purpose. Topographical, geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Eleven landslide occurrence related factors were selected as: slope angle, slope aspect, curvature, altitude, distance to roads, distance to rivers, lithology, distance to faults, soil type, landcover and the normalized difference vegetation index value. For calculating the weight of the relative importance of each factor to the landslide occurrence, an artificial neural network method was developed. Each thematic layer's weight was determined by the back-propagation training method and landslide susceptibility indices (LSI) were calculated using the trained back-propagation weights. To assess the factor effects, the weights were calculated three times, using all 11 factors in the first case, then recalculating after removal of those 4 factors that had the smallest weights, and thirdly after removal of the remaining 3 least influential factors. The effect of weights in landslide susceptibility was verified using the landslide location data. It is revealed that all factors have relatively positive effects on the landslide susceptibility maps in the study. The validation results showed sufficient agreement between the computed susceptibility maps and the existing data on landslide areas. The distribution of landslide susceptibility zones derived from ANN shows similar trends as those obtained by applying in GIS-based susceptibility procedures by the same authors (using the frequency ratio and logistic regression method) and indicates that ANN results are better than the earlier method. Among the three cases, the best accuracy (94%) was obtained in the case of the 7 factors weight, whereas 11 factors based weight showed the worst accuracy (91%).