Very few researchers have reported on procedures of recruiting, obtaining informed consent, and compensating participants in health research in the Arabian Gulf Region. Empirical research can inform the debate about whether to adjust these procedures for culturally diverse settings. Our objective was to delineate procedures related to recruiting, obtaining informed consent, and compensating health research participants in the extremely high-density multicultural setting of Qatar.
This book offers for the first time a complete scholarly translation, commentary, and glossary in a modern European language of the logic section of Avicenna's very important compendium al-Naj=at.
Polanyi's book, The Great Transformation, provides an analysis of the emergence and significance of capitalist economic structures which differs radically from those currently universally taught in economic textbooks. This analysis is based on a methodological approach which is also radically different from existing methodologies for economics, and more generally social science. This methodology is used by Polanyi without explicit articulation. Our goal in this article is to articulate the methodology used in this book to bring out the several dimensions on (...) which it differs from current approaches to social science. Among the key differences Polanyi provides substantial scope for human agency and capability to change the course of history. He also shows that the social, political and economic spheres of human existence are deeply interlinked and cannot be analysed in isolation, as current approaches assume. (shrink)
Bringing culture and personality in a combination with emotions requires bringing three different theories together. In this paper, we discuss an approach for combining Hofstedeâs cultural dimensions, BIG five personality parameters and PSI theory of emotions to come up with an emergent affective character model.
Mining social network data and developing user profile from unstructured and informal data are a challenging task. The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations. Publicly available tweets are fetched and classified and sentiments expressed in tweets are extracted and normalized. This research uses domain-specific seed list to classify tweets. Semantic and syntactic analysis on tweets is performed to minimize information loss during the process of tweets classification. After (...) precise classification and sentiment analysis, the system builds user interest-based profile by analyzing user’s post on Twitter to know about user interests. The proposed system was tested on a dataset of almost 1 million tweets and was able to classify up to 96% tweets accurately. (shrink)
It is a fact that women are effectively supporting men in financial perspectives since ages but different problems such as attitude and prejudice of society members adversely affect the utilization of their talent and working abilities.The objectives of this study were to find out the work life conflict and work-life balance of working women’ explore up to what extent problems related to work-life conflict and work-life balance are affecting their work and family, investigate the perceptions of working women to balance (...) the work and family. A sample of 65 working women from different fields i.e. teachers, doctors and bankers was selected through stratified convenient sampling technique. Five Points Likert scale was used as instrument to collect data. Data were analysed by calculating Mean and presented in Bar Charts. On the basis of findings it is concluded that status of working women and work-life balance is affected by many problems including work-load, family support, harassment, fear and anxiety etc. It is recommended that proper check and balance, equal chance of decision making and security level of the working women in their work place might be maintained for work-life balance of working women. (shrink)
El presente artículo rastrea el rol de la lengua siríaca en el movimiento de traducción que derivó en la medicina islámica medieval a partir de la identificación de los paralelos literarios existentes entre la receta de la Hierá de Archigénes de El libro de las medicinas en lengua siríaca y los textos griegos y árabes que contienen testimonios de la misma receta. Esta receta, que es un compuesto de variada actividad terapéutica, es una de las tantas evidencias halladas que argumenta (...) a favor de la temprana labor de los cristianos de lengua siríaca como traductores de textos médicos clásicos, precediendo a quienes lo hicieron en lengua árabe, que habrían traducido sus textos farmacéuticos a partir del siríaco. The article traces the role of the Syriac language in the translations movement that led to medieval Islamic medicine from the identification of the literary parallels between the recipe of the Hiera of Archigenes of The book of medicines in language Syriac and the Greek and Arab texts that contain testimonies of the same recipe. This recipe which is a compound of varied therapeutic activity is one of the many evidences found that argues in favor of the early work of the Christians of the Syriac language as translators of classical medical texts, preceding those who did it in the Arabic language. (shrink)
Pakistan is a third world country, with more than 60% rural population, confronted with a lot of social problems including poor health of the masses particularly women, illiteracy and low quality education, poverty, misgovernment and corruption at all levels, weak institutions and lack of good governance. Consequently, the public suffers due to all these problems. Women suffer more than men in all walks of life particularly education and health delivery services which are either not available to them or denied to (...) them on state level. This article is based on an empirical study conducted in the North-West Pakistan known as Khyber Pukhtun Khwa to know about the rural women health problems of the poorest province of a poor country. Results shows that the province is not only poor, but also has the characteristic of large families, high fertility rate, a harsh culture towards women, non-availability of medical facilities making women in particular to resort to shrines and Mullahs for spiritual treatment and so on. (shrink)
In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)
During the outbreak of an epidemic, it becomes significantly essential to monitor the effects of containment measures and forecast the outbreak, including the epidemic peak. Many countries have either implemented strict lockdown to counter the spread of coronavirus disease or taken necessary preventive measures across the world to reduce the outbreak of this epidemic war. Several epidemic models have been presented across the world to examine the effects of public health-related strategies on mitigating the spread of current infectious disease, yet (...) no reputable model has been presented for Pakistan as well as other South-Asian developing countries as per the authors’ knowledge. In this research, an actual coronavirus prediction in Pakistan is presented, which may guide the decision-makers as to how this pandemic has spread across the country and how it can be controlled. Furthermore, in the absence of targeted medicines, the analysis helps to develop a precise plan for the eradication of the outbreak by adopting the calculated steps at the right time. The mathematical phenomenological models have been adopted in this study to predict, project, and simulate the overall affected cases reflected due to the recent outbreak in Pakistan. These models predict the expected growth, and the estimated results are almost well matched with the real cases. Through the calibration of parameters and analyzing the current situation, forecast for the appearance of new cases in Pakistan is reported till the end of this year. The constant level of number of patients and time to reach specific levels are also reported through the simulations. The drastic conditions are also discussed which may occur if all the preventive restraints are removed. This research quantitatively describes the significant characteristics of the spread of corona cases. It acknowledges and provides an understanding of a short-term and long-term transmission of coronavirus outbreak in the country as three evolutionary phases. Therefore, this research provides a pathway to cope with the emerging threat of a severe outbreak in developing and nondeveloping countries. (shrink)
This paper examines how the latest mega plan and the Belt and Road Initiative will impact the geopolitics of energy and infrastructural development. With a massive change in the supply and demand of global energy and its infrastructure, the transition of international energy order is in the making. While the US is going towards a more isolationist path from its traditional superpower role, there are rising economies such as China, India, Japan, and Russia which are undoubtedly playing a vital role (...) in the geopolitical stage and the other development endeavors. Several regions such as Central Asia, the Arctic, Eastern Mediterranean, and the South China Sea are offering substantial natural gas and oil reserves and drawing global attention to develop energy cooperation. This situation is profoundly influencing the transition of energy order. In this transition, BRI is supposed to play an important role. As a mega development strategy with a robust geostrategic dimension, it purposes to advocate interconnectivity collaboration in framework, exchange, and advancement among the partaking nations. This super arrangement offers a lot of ventures, foundation developments, and modern reconciliation in the energy sector. The country is trying to establish a multilateral platform for endorsing and shielding energy cooperation under BRI. This paper, therefore, attempts to observe how this mega plan will contribute to reshaping the existing energy order as well as the geopolitics of energy with motivation on multifaceted energy collaboration. (shrink)
A connected graph is called Hamilton-connected if there exists a Hamiltonian path between any pair of its vertices. Determining whether a graph is Hamilton-connected is an NP-complete problem. Hamiltonian and Hamilton-connected graphs have diverse applications in computer science and electrical engineering. The detour index of a graph is defined to be the sum of lengths of detours between all the unordered pairs of vertices. The detour index has diverse applications in chemistry. Computing the detour index for a graph is also (...) an NP-complete problem. In this paper, we study the Hamilton-connectivity of convex polytopes. We construct three infinite families of convex polytopes and show that they are Hamilton-connected. An infinite family of non-Hamilton-connected convex polytopes is also constructed, which, in turn, shows that not all convex polytopes are Hamilton-connected. By using Hamilton connectivity of these families of graphs, we compute exact analytical formulas of their detour index. (shrink)
In this essay, the authors analyze the COVID-19 pandemic from the perspective of inequalities and socio-economic vulnerabilities. We argue that the current pandemic has been looked at mainly through the lens of biology, leaving sociological blind spots in the response to this pandemic that have had adverse effects. We conclude with the suggestion that apart from recommendations from health sciences, policy makers must also take into account local societal structures in order to design effective policies to control the contagion.
Este artículo elabora la crítica habermasiana del trabajo del antropólogo Talal Asad. Basándome flexiblemente en Habermas, defiendo que la crítica de Asad al secularismo y a la democracia liberal adolece de «esencialismo» y de «autorreferencia». Finalmente, defiendo el enfoque habermasiano sobre el caso del Islam en Europa frente al enfoque asadiano.
This study applied an artifact-centric view to investigate the consequences of enterprise social media usage. It investigates how enterprise social media usage influences employee creativity. A moderated mediation model is developed based on social exchange theory. The empirical sample of 238 employees is used to test the proposed model. Results of the empirical analysis performed using PROCESS macro of SPSS indicate that enterprise social media usage positively impacts employee creativity via the mediating mechanisms. Furthermore, social media usage frequency negatively moderates (...) this impact of enterprise social media usage on employee creativity via leader-member exchange. Interestingly, the empirical analysis reveals that the impact of enterprise social media usage frequency strengthens the indirect effect that enterprise social media usage has on employee creativity via perceived support for innovation. (shrink)
Healthcare workers in Pakistan are still fighting at the frontline to control the spread of severe acute respiratory syndrome coronavirus-2 and have been identified as the earliest beneficiaries for COVID-19 vaccination by the health authorities of the country. Besides, the high vaccination rates of frontline healthcare workers are essential to overcome the ongoing pandemic and reduce the vaccines hesitancy among the general population. The current research employed the theory of planned behavior to investigate the COVID-19 vaccination behavior among FHWs in (...) Pakistan as well as the predictors of such behavior. Following the epidemic control and prevention policies, a sample of 680 FHWs were accessed to fill in the questionnaire evaluating the components of the TPB. Moreover, the potential role of anticipated regret and perceived susceptibility on COVID-19 vaccination behavior was also assessed. The partial least square structural equation modeling results revealed that the TPB components, as well as the AR, have positive associations with the COVID-19 vaccination behavior. The results further confirmed that PS positively affects the anticipated regret, attitude, and subjective norm to vaccinate against SARS-CoV-2. The perceived susceptibility also has a positive association with COVID-19 vaccination behavior through the mediation of anticipated regret, ATT, and SN. Our findings highlighted the importance of COVID-19 vaccination among healthcare workers, which can be applied to reduce vaccine hesitancy among the general public. (shrink)
Automatic incident detection plays a vital role among all the safety-critical applications under the parasol of Intelligent Transportation Systems to provide timely information to passengers and other stakeholders in smart cities. Moreover, accurate classification of these incidents with respect to type and severity assists the Traffic Incident Management Systems and stakeholders in devising better plans for incident site management and avoiding secondary incidents. Most of the AID systems presented in the literature are incident type-specific, i.e., either they are designed for (...) the detection of accident or congestion. While traveling along the road, one may come across different types of traffic incidents, such as accidents, congestion, and reckless driving. This necessitates that the AID system detects and classifies not only all the popular traffic incident types, but severity as well that is associated with these incidents. Therefore, this study aims to propose an efficient incident detection and classification framework for smart cities, by incorporating the efficacy of model stacking, to classify the incidents with respect to their types and severity levels. The experimental results showed that the proposed E-IDC framework achieved performance gains of 5%–56% in terms of incident severity classification and 1%–14% in terms of incident type classification when applied with different classifiers. We have also applied the Wilcoxon test to benchmark the performance of our proposed framework that reflects the significance of our approach over existing individual incident predictors in terms of severity and type classification. Moreover, it has been observed that the proposed E-IDC framework outperforms the existing ensemble technique, such as XGBoost used for the classification of incidents. (shrink)
Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging aggregation operator along with some of its properties, namely idempotency, boundedness, and monotonicity. PFEHA aggregation operator is the generalization of Pythagorean fuzzy Einstein weighted averaging aggregation operator and Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. The operator proposed in this paper provides more accurate and (...) precise results as compared to the existing operators. Therefore, this method plays a vital role in real-world problems. Finally, we applied the proposed operator and method to multiple-attribute group decision making. (shrink)
