269 research outputs found
PSYCHOLOGICAL ANALYSIS OF MYSTICAL EXPERIENCES IN HERMAN HESSE’S SIDDHARTHA
This paper is an attempt to study Siddhartha’s spiritual quest for self-knowledge in psychological perspective. It is meant to explore how far and in what ways is the mystical experience on par with secondary integration of personality that occurs only in the wake of the disintegration of several existing psychological structures. The protagonist’s act of overcoming ego-consciousness and disassociating himself with the social labels and ultimately realizing his ‘self’ are analyzed psychologically using Kazimierz Dabrowski’s theory of positive disintegration as a conceptual framework. Herman Hesse’s novel Siddhartha is selected for the study, and textual analysis is employed as a tool to analyse the text culling the relevant passages as evidence. The study reveals that the protagonist of the novel achieves higher level of personality development and the previously held assumptions which confuse spirituality with psychic disorders are overruled. It also asserts the validity of mystical experiences as higher form of consciousness yielding wisdom allowing mystics to transcend the temporal cum spatial barriers thereby elevating to the level of humanity. This paper suggests that the study of different mystical traditions may well lead to one’s personal development and may prove a step towards gaining maturity.Keywords: Mysticism, mystical experience, self-realization, positive disintegration, secondary integration. Cite as: Imran, M., Bhatti, A. G., & Naveed, R.T. (2018). Psychological analysis of mystical experiences in Herman Hesse’s Siddhartha. Journal of Nusantara Studies, 3(2), 66-79. http://dx.doi.org/10.24200/jonus.vol3iss2pp66-7
Sentiment Analysis of Amazon Product Reviews using Supervised Machine Learning Techniques
Today, everything is sold online, and many individuals can post reviews about different products to show feedback. Serves as feedback for businesses regarding buyer reviews, performance, product quality, and seller service. The project focuses on buyer opinions based on Mobile Phone reviews. Sentiment analysis is the function of analyzing all these data, obtaining opinions about these products and services that classify them as positive, negative, or neutral. This insight can help companies improve their products and help potential buyers make the right decisions. Once the preprocessing is classified on a trained dataset, these reviews must be preprocessed to remove unwanted data such as stop words, verbs, pos tagging, punctuation, and attachments. Many techniques are present to perform such tasks, but in this article, we will use a model that will use different inspection machine techniques
Saddar Bazar Quarter in Karachi: A Case of British-Era Protected Heritage Based on the Literature Review and Fieldwork
On the international level, heritage is considered an essential element for the sustainable development of a country. In South Asian countries such as Pakistan, India, and Bangladesh, historic cities struggle to preserve their built heritage, due to rapid urbanisation and changing contemporary urban and architectural requirements. This contribution elaborates on the effects of urbanisation, and city development on the protected heritage of Karachi, Pakistan. The city developed in the 19th century from a mud-fortified small town along the Lyari river to become one of the busiest ports of the Indian subcontinent under British rule. Karachi has now become a metropolitan city with more than sixteen million inhabitants. Due to the accelerated rate of urbanisation and trade activities, Karachi has become Pakistan’s economic capital, resulting in the oblivion of its historical sites. Most of the city’s historic sites are in a state of dereliction, from over- or under-programming, or even under the threat of demolition. The paper focuses on the present condition of a British-era protected-heritage site through a literature review and fieldwork (mapping, drawing, archival research, interviews, photographic surveys, etc.), carried out during 2019 and 2020. The first author conducted site visits to photograph buildings and interview their users to gather feedback on how they perceive the current state of these buildings. The data were analysed to investigate how many buildings from Karachi’s British era with protected status have been demolished or are at risk of demolition. At the heart of the article is the Saddar Bazar Quarter in Karachi and its historical, social, cultural, and economic importance in the city from the British period until the present. The analysis will lead the discussion on what potential these sites/buildings hold, and how to make their preservation possible and withstand the uncurbed urbanisation and the threat of land development. Through discussion, we will focus on the social, cultural and economic aspects which the area and the buildings from the British period hold, and which can be useful in the future for the continuation of the Saddar Bazaar Quarter (SBQ), the historic urban landscape (HUL) and the heritage buildings
IN-VISION : Issue 10- Year 2022
Message from Dr Naveed Yousuf Chair, Department of Education Development Faculty in Focus Amber Sultan Event Recap Annual Mega Question Review Education Grand Rounds (EGR) Introductory Short Courses in Health Profession Education (ISC-HPE) Master of Health Profession Education (MHPE) Examination Cell Other Faculty Development Workshops A Collaboration Between DED & UMGE Faculty & Staff Highlights Awards, Recognitions & Joining Upcoming DED Events Learning Resources 5 Tips Publications Med Ed How to: Case Based Learninghttps://ecommons.aku.edu/in_vision/1010/thumbnail.jp
Writer Identification Using Microblogging Texts for Social Media Forensics
Establishing authorship of online texts is fundamental to combat cybercrimes. Unfortunately, text length is limited on some platforms, making the challenge harder. We aim at identifying the authorship of Twitter messages limited to 140 characters. We evaluate popular stylometric features, widely used in literary analysis, and specific Twitter features like URLs, hashtags, replies or quotes. We use two databases with 93 and 3957 authors, respectively. We test varying sized author sets and varying amounts of training/test texts per author. Performance is further improved by feature combination via automatic selection. With a large amount of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors. With smaller sample sizes (10-20 training Tweets), the search space can be diminished by 9-15% while keeping a high chance that the correct author is retrieved among the candidates. In such cases, automatic attribution can provide significant time savings to experts in suspect search. For completeness, we report verification results. With few training/test Tweets, the EER is above 20-25%, which is reduced to < 15% if hundreds of training Tweets are available. We also quantify the computational complexity and time permanence of the employed features. © 2019 IEEE.Funding: This work was supported in part by the project 2016-03497 of the Swedish Research Council. Naveed Muhammad has been funded by European Social Fund via IT Academy programme. The authors also thank the CAISR Program of the Swedish Knowledge Foundation.</p
The Belt and Road Initiative's (BRI) Impact on International Trade of SAARC Countries
The impact of the Belt and Road Initiative (BRI) on foreign commerce in the nations that make up the South Asian Association for Regional Cooperation (SAARC) is compared in this study. With data taken from the World Integrated Trade Solution (WITS) for two different time periods (2008–2012 and 2014–2018), the study assesses changes in imports, exports, trade balances, and foreign direct investment (FDI) in Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. Different patterns in trade dynamics are revealed by the findings. Bangladesh had notable improvements in trade over the 2014–2018 period, whereas Afghanistan’s development was less than anticipated. Bhutan’s trade development was encouraged and in line with the goals of the Belt and Road Initiative. India demonstrated trade endurance by continuing to develop steadily. Positive developments were demonstrated by the Maldives, Nepal, Pakistan, and Sri Lanka, confirming the BRI’s contribution to the growth of commerce. There have been improvements in the trade balances of Pakistan, Afghanistan, and the Maldives. Following the BRI, the FDI landscape steadied, with increases in FDI observed in Pakistan, Afghanistan, and the Maldives. With an emphasis on the significance of taking into account the particular context of every nation and the dynamic nature of international commerce, this research offers a comprehensive assessment of the effects of the Belt and Road Initiative. The results provide insightful information to help stakeholders, scholars, and policymakers navigate the intricate web of international commerce in the SAARC area
Unraveling Vegetation Diversity and Environmental Influences in the Sultan KhaValley, Dir Upper, Pakistan: An Advanced Multivariate Analysis Approach
Both environmental and edaphic variables play an important role in the structure, composition, and distribution of plant communities. In the present study, we aimed to investigate the major plant associations along the altitudinal gradient and the effects of various topographic and edaphic variables on the distribution of vegetation in the Sultan Khail Valley in the Hindu Kush range of Pakistan. The data was collected between 2017 and 2019. For field data collection, the valley was divided into various ecological zones based on altitude, aspect, physiognomy, and geographical coordinates. Two hundred vineyards were established for the data collection. The canopy cover and the number of vascular plant species were determined using the Braun-Blanquet scale. Soil samples were collected and analyzed for various physicochemical properties. In the JUICE host program, the modified Two Way Indicator Species Analysis (TWINSPAN) was used to do a multivariate analysis of vegetative data. To emphasize diagnostic, constant, and dominant species, a threshold of 40% was set for the fidelity, frequency, and cover of species in each association. For vegetation ordination, DCA ordination was performed using R Project version 3.6.1. Modified TWINSPAN results in the formation of 5 associations of vegetation: i. Abies-Picea-Sibbaldia Association (APS), ii. Pinus-Wikstroemia-Galium association (PWG), iii. Ajuga-Artemisia-Quercus association (AAQ), iv. Cotoneaster-Quercus-Indigofera association (CQI), and v. Conyza-Juglans-Dicliptera association (CJD). The results of DCA ordering showed that elevation, slope angle, clay content (%), potassium, and pH of the soil were the most important factors for the distribution of species in different associations in the Sultan Khail Valley of Pakistan. The soils in the study area were loamy, silty-loamy to loamy-sandy, alkaline to acidic. and contained varying amounts of lime, organic matter, as well as nitrogen, phosphorus, and potassium. In conclusion, the study successfully employed advanced multivariate analysis techniques to uncover the complex relationship between vegetation diversity and environmental conditions in the Sultan Khail Valley of Pakistan, a part of the Hindu Kush Range. The detailed analysis of the study revealed the complex interplay of numerous environmental variables and provided important insights for the conservation and sustainable management of this ecologically important region
Book Reviews
Author: BASSETT, THOMAS J.; The Peasant Cotton Revolution in West Africa: Ivory Coast 1880-1995; Reviewer: Jerome Coll; Author: KONG, TAT YAN; The Politics of Economic Reform in South Korea: A Fragile Miracle; Reviewer: Chang Kyung-Sup; Author: LIE, JOHN; Han Unbound: The Political Economy of South Korea: Reviewer: Chang Kyung-Sup; Editors: EADE, DEBORAH and LIGTERINGEN, ERNST; Debating Development: NGOs and the Future; Reviewer: Barry Riddell; Editor: MALIK, HAFEEZ; Pakistan: Founders' Aspirations and Today's Realities; Reviewer: Naveed Naqvi; Editor: WYPLOSZ, CHARLES; The Impact of EMU on Europe and the Developing Countries; Reviewer: Juan Paez-Farrell; Author: TRIPP, AILI MARI; Women and Politics in Uganda; Reviewer: May Christine Sengendo; Editor: SCHUURMAN, FRANS J.; Globalization and Development Studies: Challenges for the 21st Century; Reviewer: Ray Kiely; Editors: BAULCH, BOB and HODDINOTT, JOHN; Economic Mobility and Poverty Dynamics in Developing Countries; Reviewer: Christopher B. BarrettReview Books,
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Key Issues in Use of Social Networking in Hospitality Industry: 2009
Consumer participation in social networks has increased exponentially since the beginning of the new millennium. The hospitality industry, as one of the most customer sensitive industries, has started to explore using social networking to grow their businesses. However, the medium presents new challenges and issues for lodging firms as to how social media fits in with their traditional marketing strategy. In a highly competitive environment for customers, managers should better understand the implications of their strategy when participating in social media environments. In this study the Delphi technique was used by author to compile a list of key issues in use of social networking in hospitality industry. The result is presented in a ranked order and top five key issues are discussed to clarify the terms and provide insight into the importance of the issues. These five issues are: 1. having enough resources, 2. Content and relevant, 3. Alignment of social networking trends and company's goals, 4. Promote to the customers and 5. How much is enough? The result of the study is useful for managers and employees who are involved in social networking in any service industry, especially hospitality. Turbulent periods of change in social networking demand fast responses and also careful decisions. So the managers should be aware of benefits of social networking and its issues and challenges as well
Delay and completion of tuberculosis treatment:a cross-sectional study in the West Midlands, UK
BACKGROUND: TB remains a significant problem in the UK with the West Midlands having the highest incidence after London. Treatment is usually for a minimum of 6 months and requires a high level of compliance. We investigated potential determinants of delays and completion of treatment for tuberculosis (TB) in the West Midlands, UK.METHODS: We used data on 4840 patients with TB in the West Midlands from the Enhanced Tuberculosis Surveillance database from 1 January 2005 to 1 October 2010. We used regression models to investigate the cross-sectional association between sociodemographic and clinical risk factors and the timeliness and completion of TB treatment.RESULTS: Patients with TB waited 82 days on average from symptom onset to treatment initiation. Female patients spent 6% longer time than males before receiving treatment [95% confidence interval (CI): 1.2-11.6%, P = 0.015]. Asian/Asian British patients were 11 times more likely to complete treatment than White patients (adjusted odds ratio: 11.4, 95% CI: 1.31-100.3, P = 0.028).CONCLUSIONS: Females in the West Midlands took longer time to receive TB treatment than males, representing a health inequality that could be addressed through gender-sensitive awareness raising programmes. White patients were less likely to complete treatment than Asian/Asian British patients; additional support is needed in this group.</p
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