On Sikh ethics; includes brief biographies of Sikh religious leaders.

Letters, speeches, articles and memos written by a pioneer Muslim educationalist.

The earlier volume in this series dealt with two religions of Indian origin, namely, Buddhism and Jainism. The Indian religious scene, however, is characterized by not only religions which originated in India but also by religions which entered India from outside India and made their home here. Thus religious life in India has been enlivened throughout its history by the presence of religions of foreign origin on its soil almost from the very time they came into existence. This volume covers (...) three such religions—Zoraoastrianism, Judaism, and Islam. In the case of Zoraostianism, even its very beginnings are intertwined with India, as Zoroastrianism reformed a preexisting religion which had strong links to the Vedic heritage of India. This relationship took on a new dimension when a Zoroastrian community, fearing persecution in Persia after its Arab conquest, sought shelter in western India and ultimately went on to produce India’s pioneering nationalist in the figure of Dadabhai Naoroji ( 1825-1917), also known as the Grand Old Man of India. Jews found refuge in south India after the destruction of the Temple by the Romans in 70 C.E. and have remained a part of the Indian religious scene since then, some even returning to Israel after it was founded in 1948. Islam arrived in Kerala as soon as it was founded and one of the earliest mosques in the history of Islam is found in India. Islam differs from the previously mentioned religions inasmuch as it went on to gain political hegemony over parts of the country for considerable periods of time, which meant that its impact on the religious life of the subcontinent has been greater compared to the other religions. It has also meant that Islam has existed in a religiously plural environment in India for a longer period than elsewhere in the world so that not only has Islam left a mark on India, India has also left its mark on it. Indeed all the three religions covered in this volume share this dual feature, that they have profoundly influenced Indian religious life and have also in turn been profoundly influenced by their presence in India. (shrink)

This paper presents four theorems that connect continuity postulates in mathematical economics to solvability axioms in mathematical psychology, and ranks them under alternative supplementary assumptions. Theorem 1 connects notions of continuity (full, separate, Wold, weak Wold, Archimedean, mixture) with those of solvability (restricted, unrestricted) under the completeness and transitivity of a binary relation. Theorem 2 uses the primitive notion of a separately continuous function to answer the question when an analogous property on a relation is fully continuous. Theorem 3 provides (...) a portmanteau theorem on the equivalence between restricted solvability and various notions of continuity under weak monotonicity. Finally, Theorem 4 presents a variant of Theorem 3 that follows Theorem 1 in dispensing with the dimensionality requirement and in providing partial equivalences between solvability and continuity notions. These theorems are motivated for their potential use in representation theorems. (shrink)

Changes in the understanding of the relationship between business and society have led to increased interest in and discussion of the notion of corporate social responsibility.This paper offers an empirical analysis of the perceptions of top executives in the West Midlands, U.K., and in Delhi, District Ghaziabad, India, of the notion of corporate social responsibility. Organisational changes and involvement in social action programmes, and problems of implementing and monitoring Social Responsibility in two cultures, India and Britain, were explored.

A high level of professional integrity is expected from healthcare professionals, and literature suggests a relationship between unethical behavior of healthcare professionals and poor academic integrity behavior at medical school. While academic integrity is well researched in western countries, it is not so in the Middle East, which is characterized by different cultural values that may influence students’ academic integrity conduct. We conducted a cross-sectional study among health-professions students at a university in the Middle East to assess perceptual differences on (...) various cheating behaviors, as well as to explore the reasons underlying the cheating behavior. A validated survey instrument disseminated among first and second-year undergraduate students resulted in 211 complete responses and this data was analyzed using descriptive and inferential statistics. Pearson’s Chi-square/ Fischer’s exact test was applied to test the association of various factors with academic misconduct. The major determinants of academic misconduct were investigated using Binary Logistic regression model. The conducted analysis and the results showed that preceding cheating behavior was the only factor significantly associated with cheating in the university (p. (shrink)

Substantial literature has investigated the relationship between religiosity and ethical decision-making (the what), while lesser consideration has been given to exploring why decisions are made. As part of a larger study, this paper aims to delve beyond the descriptive relationship between religiosity and ethical decision-making of Muslim employees in Malaysia. We analyse the qualitative data received from 160 employees by using thematic analysis. Our results reveal that, while religious values are important for Muslims in Malaysia, there are other factors that (...) are also pertinent when making decisions at work, namely the organization’s interest and the context of the decision. We also found that individuals’ reasoning based on Islamic teachings is embedded in rules and regulations, which suggests lower levels of ethical reasoning. This study extends the current understanding of the processes of ethical reasoning in highly religious contexts by individuals at their workplace. Implications and suggestions for future research are discussed. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Full Collection of Personal NarrativesJake Beery, Neethi Pinto, Marcia King, Laura Wachsmuth, Alisha, Katie L. Gholson, T.S. Moran, Calvin R. Gross, Joanne Alfred, Cindy Bitter, Jenna Bennett, Nadia Khan, Clarice Douille, Kristen Carey Rock, Adrienne Feller Novick, Andrea Eisenberg, Japmehr Sandhu, Katherine Bakke, Heer Hendry, Karan K. Mirpuri, and Katerina V. Liong• Being the Difference• Grieving One More Time• Echoes of Grief: Tales from an Emergency Medicine and (...) Critical Care Nurse• Searching for Peace in Death• “I’d Love to go Off the Grid and Never Come Back”• “A Mother’s Love”• Tiny Person, Big Impact• Night Shift• Cracked Armor• Who Tells the Story• Navigating Hard Situations that Medical School Cannot Prepare You For• The Wish• Break• Five More Minutes• I Saw My Reflection• The Aftermath• Where the Journey Begins• Lessons Learned in Room 208• Joint and Grief Aches• My First Loss: Carrying His Legacy• Grieving the Loss of What Medicine Was Supposed to BeCopyright © 2024 Johns Hopkins University Press... (shrink)

Handwritten text recognition is considered as the most challenging task for the research community due to slight change in different characters’ shape in handwritten documents. The unavailability of a standard dataset makes it vaguer in nature for the researchers to work on. To address these problems, this paper presents an optical character recognition system for the recognition of offline Pashto characters. The problem of the unavailability of a standard handwritten Pashto characters database is addressed by developing a medium-sized database of (...) offline Pashto characters. This database consists of 11352 character images. Enriched feature extraction techniques of histogram of oriented gradients and zoning-based density features are used for feature extraction of carved Pashto characters. K-nearest neighbors is considered as a classification tool for the proposed algorithm based on the proposed feature sets. A resultant accuracy of 80.34% is calculated for the histogram of oriented gradients, while for zoning-based density features, 76.42% is achieved using 10-fold cross validation. (shrink)

A Martin-Löf random sequence is an infinite binary sequence with the property that every initial segment $\sigma$ has prefix-free Kolmogorov complexity $K$ at least $|\sigma| - c$, for some constant $c \in \omega$. Informally, initial segments of Martin-Löf randoms are highly complex in the sense that they are not compressible by more than a constant number of bits. However, all Martin-Löf randoms necessarily have contiguous substrings of arbitrarily low complexity. If we demand that all substrings of a sequence be uniformly (...) complex, then we arrive at the notion of shift-complex sequences. In this paper, we collect some of the existing results on these sequences and contribute two new ones. Rumyantsev showed that the measure of oracles that compute shift-complex sequences is zero. We strengthen this result by proving that the Martin-Löf random sequences that do not compute shift-complex sequences are exactly the incomplete ones, in other words, the ones that do not compute the halting problem. In order to do so, we make use of the characterization by Franklin and Ng of the class of incomplete Martin-Löf randoms via a notion of randomness called difference randomness. Turning to the power of shift-complex sequences as oracles, we show that there are shift-complex sequences that do not compute Martin-Löf random sequences. (shrink)

Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...) product reviews is a challenging issue in NLP. Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. However, in order to improve the classification accuracy, this study has introduced an ensemble machine learning model that combines predictions from multilayer perceptron, K-Nearest Neighbour, and Random Forest and predicts the outcome of the review as spam or real, based on the majority vote of the contributing models. In order to accomplish the task of spam review classification, the proposed ensemble and other benchmark boosting approaches are tested with 25 statistical features extracted from mobile application reviews of Yelp Dataset. Then, three different selection techniques are exploited to diminish the feature space and filter out the top 10 optimal features. The effectiveness of the proposed ensemble, the individual models, and other benchmark boosting approaches is again evaluated with 10 optimal features in terms of classification accuracy. Experimental outcomes illustrate that the proposed ensemble model outperformed the individual classifiers and state-of-the-art boosting approaches like Generalized Boost Regression Model, Extreme Gradient Boost, and AdaBoost Regression Model in terms of classification accuracy. (shrink)

Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross-domain qualitative feature-based approach to match caricature with a (...) mugshot. The proposed approach uses Haar-like features for the detection of the face and other facial attributes. A point distribution measure is used to locate the exaggerated features. Furthermore, the ratio between different facial features was computed using different vertical and horizontal distances. These ratios were used to calculate the difference vector which is used as input to different machine and deep learning models. In order to attain better performance, stratified k-fold cross-validation with hyperparameter tuning is used. Convolution neural network-based implementation outperformed the machine learning-based models. (shrink)

Seasonal outbreaks have several different periods that occur primarily during winter in temperate regions, while influenza may occur throughout the year in tropical regions, triggering outbreaks more irregularly. Similarly, dengue occurs in the star of the rainy season in early May and reaches its peak in late June. Dengue and flu brought an impact on various countries in the years 2017–2019 and streaming Twitter data reveals the status of dengue and flu outbreaks in the most affected regions. This research work (...) presents that Social Media Analysis can be used as a detector of the epidemic outbreak and to understand the sentiment of social media users regarding various diseases. Providing awareness about seasonal outbreaks through SMA is an effective approach for researchers and healthcare responders to detect the early outbreaks. The proposed model aims to find the sentiment about the disease in tweets, and the seasonal outbreaks-related tweets are classified into two classes as disease positive and disease negative. This work proposes a machine-learning-based approach to detect dengue and flu outbreaks in social media platform Twitter, using four machine learning algorithms: Random Forest, K-Nearest Neighbor, Support Vector Machine, and Decision Tree, with the help of Term Frequency and Inverse Document Frequency. For experimental analysis, two datasets are analyzed individually. The experimental results show that the RF classifier has outperformed the comparison models in terms of improved accuracy, precision, recall, F1-measure, and Receiver Operating Characteristic curve. The proposed work offers favorable performance with total precision, accuracy, recall, and F1-measure ranging from 84% to 88% for conventional machine learning techniques. (shrink)

Information is considered to be the major part of an organization. With the enhancement of technology, the knowledge level is increasing with the passage of time. This increase of information is in volume, velocity, and variety. Extracting meaningful insights is the dire need of an individual from such information and knowledge. Visualization is a key tool and has become one of the most significant platforms for interpreting, extracting, and communicating information. The current study is an endeavour toward data modelling and (...) user knowledge by using a rough set approach for extracting meaningful insights. The technique has used different rough set algorithms such as K-nearest neighbours, decision rules, decomposition tree, and local transfer function classifier for an experimental setup. The approach has found its accuracy for the optimal use of data modelling and user knowledge. The experimental setup of the proposed method is validated by using the dataset available in the UCI web repository. Results of the proposed study show that the model is effective and efficient with an accuracy of 96% for KNN, 87% for decision rules, 91% for decision trees, 85.04% for cross validation architecture, and 94.3% for local transfer function classifier. The validity of the proposed classification algorithms is tested using different performance metrics such as F-score, precision, accuracy, recall, specificity, and misclassification rates. For all these performance metrics, the KNN classifier outperformed, and this high performance shows the applicability of the KNN classifier in the proposed problem. (shrink)

Efficient identification of influential nodes is one of the essential aspects in the field of complex networks, which has excellent theoretical and practical significance in the real world. A valuable number of approaches have been developed and deployed in these areas where just a few have used centrality measures along with their concerning deficiencies and limitations in their studies. Therefore, to resolve these challenging issues, we propose a novel effective distance-based centrality algorithm for the identification of influential nodes in concerning (...) networks. EDBC algorithm comprises factors such as the power of K-shell, degree nodes, effective distance, and numerous levels of neighbor’s influence or neighborhood potential. The performance of the proposed algorithm is evaluated on nine real-world networks, where a susceptible infected recovered epidemic model is employed to examine the spreading dynamics of each node. Simulation results demonstrate that the proposed algorithm outperforms the existing techniques such as eigenvector, betweenness, closeness centralities, hyperlink-induced topic search, H-index, K-shell, page rank, profit leader, and gravity over a valuable margin. (shrink)

This manuscript reviews recent evidence supporting the utility of telomeres and mitochondrial DNA copy number (mtDNAcn) in detecting the biological impacts of adverse childhood experiences (ACEs) and outlines mechanisms that may mediate the connection between early stress and poor physical and mental health. Critical to interrupting the health sequelae of ACEs such as abuse, neglect, and neighborhood disorder, is the discovery of biomarkers of risk and resilience. The molecular markers of chronic stress exposure, telomere length and mtDNAcn, represent critical biological (...) links between ACEs and poor health outcomes. We examine how telomeres and mtDNAcn may exacerbate health disparities and contribute to the intergenerational transmission of trauma. Finally, we explore how these molecular markers of early stress exposure may help define the role of resilience and develop effective interventions to moderate ACE health risk impact. (shrink)

Of the prominent elements of Mudurnu, a rare settlement that has preserved its historical texture, is undoubtedly the Yıldırım Bayezid Complex. Thanks to the madrasa in this complex, built in 1382, Mudurnu has been a centre of knowledge for centuries. In this process, perhaps hundreds of mudarris served in the madrasa. The most famous of these was Mullah Muslihiddîn Kastalânî, who served in the 1490s, and the last one was Mehmet ZühtüUzmay. The most important source of this study, which aims (...) to focus on Uzmay and his teacher Mehmet Sadık, is the file numbered 1955-0936 belonging to Uzmay in the Registry Archive of the Presidency of Religious Affairs. Although dozens of documents in this file constitute the source of the research, the main data is the ijazatnama which is intended to be published in Arabic and Turkish languages. This study, using literature review and document analysis techniques within the scope of qualitative research, reaches a number of proper names and teacher-student relations that can be considered notable for Mudurnu. There is no information about Mehmet Sadık and Mehmet Zühtü Uzmay in the literature. For this reason, this research has a unique value by filling an important gap in the field. The first of the mudarrises, subject to this study is Mehmet Sadık, who awarded the ijazatnama. The information, he narrated in the ijazatnama indicates that his educational life was shaped around Mudurnu and Bolu. It is understood that Mehmet Sadık benefited from many teachers during his student life. Unlike he mentions as his teachers, he emphasisesSıbgatullah Efendi and states that he received an ijazatnama from him. Sıbgatullah Efendi, who took courses from the scholars of Bolu and Istanbul, was an important figure who was appointed as the mufti of Bolu between 1860 and 1887. It is understood from the information in the literature and some documents in the relevant file that Mehmet Sadık assumed several different duties in Mudurnu after receiving his ijazatnama from his teacher Sıbgatullah Efendi. In this context, the first duty assigned to him was the teaching at Mudurnu Primary School. Subsequently, he became a mudarris. Some documents in Uzmay's file describe Mehmet Sadık as a mudarris. However, his only known position is as the mufti of Mudurnu. Although it is not known when and after whom he was appointed as the mufti of Mudurnu, he held this position until his death in November/December 1914. Mehmet Zühtü Uzmay, a student of Mehmet Sadık, was born in 1882 in the Camiikebir Neighbourhood of Mudurnu to the couple of Abdullah Rasih and Zeliha. After graduating from ibtidâî (primary) and rüşdiye (secondary) schools in Mudurnu, he went to Istanbul and enrolled in the Vefa Madrasa. He returned to Mudurnu after receiving education for a while from Tokatlı Şakir Efendi, one of the Fatih dersiams (public lecturers). Then he gets education for five years from his teacher Mehmet Sadık, who was serving as the mufti of Mudurnu at that time, and he took an ijazatnama on 08 August 1912. Soon after, in 1914, he was appointed as a mudarris at the Mudurnu Yıldırım Bayezid Madrasa and a preacher at the Sultan Süleyman Mosque at the same time. It seems highly probable that Uzman served in the city until the madrasas were closed down in 1924 but he did not undertake any official duties in the following years. In the documents examined, Uzmay, who was stated to have returned to his duty life as a candidate preacher as of 1944, was elected as the Mufti of Mudurnu on 16 July 1946, which was vacated with the death of Ubeydullah Doğulu, and continued in this position until 05 December 1960, when he retired. It is not known how long this Ottoman-era religious official, who was educated in the madrasa during the Ottoman period and served as a preacher and mufti during the Republican period, lived after his retirement and when he passed away. (shrink)

On moral philosophy in Śānti parva portion of Mahābhārata, Hindu classical epic.

In the original article published, the supplementary material is uploaded by mistake which has no association with the content of the article.

In early April 1911 Albert Einstein arrived in Prague to become full professor of theoretical physics at the German part of Charles University. It was there, for the first time, that he concentrated primarily on the problem of gravitation. Before he left Prague in July 1912 he had submitted the paper "Relativität und Gravitation: Erwiderung auf eine Bemerkung von M. Abraham" in which he remarkably anticipated what a future theory of gravity should look like. At the occasion of the Einstein-in-Prague (...) centenary an international meeting was organized under a title inspired by Einstein's last paper from the Prague period: "Relativity and Gravitation, 100 Years after Einstein in Prague". The main topics of the conference included: classical relativity, numerical relativity, relativistic astrophysics and cosmology, quantum gravity, experimental aspects of gravitation, and conceptual and historical issues. The conference attracted over 200 scientists from 31 countries, among them a number of leading experts in the field of general relativity and its applications. This volume includes abstracts of the plenary talks and full texts of contributed talks and articles based on the posters presented at the conference. These describe primarily original results of the authors. Full texts of the plenary talks are included in the volume "General Relativity, Cosmology and Astrophysics--Perspectives 100 Years after Einstein in Prague", editions. J. Bičák and T. Ledvinka, published also by Springer Verlag. (shrink)

In this paper, I try to demonstrate a problem with two medieval European views of existence: The property view and the essence view. Adopting a style of reasoning employed by the Indian Madhyamaka philosopher Nāgārjuna, I argue that both the property view and the essence view understand the relation between an object and its existence in terms of difference: The former understands the difference as the difference between an object and its property of existence, and the latter, as the difference (...) between an object’s essence and existence. Neither understanding is without problems, and both lack explanatory power. We must reject both the views. (shrink)

Huggins, AK When the debate about gay marriage really started to gain some momentum in Australia, probably a year or two before the last Labor Party Conference, I predicted amongst some of my gay friends that, as we got closer to a vote or other defining moments in this process, people and organisations would start 'crawling out of the woodwork' with distasteful, even despicable ways to demonise same-sex partnership and indeed gay people generally. I was right. I also mentioned to (...) my friends that in Sydney, Cardinal Pell and Archbishop Jensen would wait just before any parliament vote to politicise their pulpits by locking in the federal Liberal vote using their lap boy Tony Abbott to deny a conscience vote amongst his party colleagues. I was right again. I also said that any attempt by a State or Territory to pass their own gay marriage legislation would be countered by a Liberal Government in the High Court of Australia. I was right again. It is so difficult and regrettable to be right all the time!! (shrink)

Moral grandstanding is the use of moral talk for self-promotion. Recent philosophical work assumes that people can often accurately identify instances of grandstanding. In contrast, we argue that people are generally unable to reliably recognize instances of grandstanding and that we are typically unjustified in judging that others are grandstanding as a result. From there we argue that, under most circumstances, to judge others as grandstanders is to fail to act with proper intellectual humility. We then examine the significance of (...) these conclusions for moral discourse. More specifically, we propose that moral discourse should focus on others’ stated reasons and whether their actions manifest respect. (shrink)