The study examines the necessity and sufficiency of gratitude for supporting workplace happiness among Indian university teachers. It also explores the mediating effect of psychological capital and social capital in the relationship between gratitude and workplace happiness. The moderating effect of spiritual climate is investigated. A survey of 726 university staff in India was undertaken to examine the relationship between gratitude and workplace happiness. A series of statistical tests involving correlation, multiple regression, and necessary condition analysis was undertaken from the (...) data set. The mediation effect of psychological capital and social capital was investigated using bootstrapping estimates using PROCESS Macro in SPSS. Also, the moderation effect of spiritual climate was explored using PROCESS Macro in SPSS. The results reveal that gratitude is both a sufficient and necessary condition for workplace happiness. It also suggests a significant mediating effect of psychological capital and social capital. Also, a significant effect of spiritual climate amid the relationship between gratitude and workplace happiness is concluded. The study is one of the first studies that explore the relationship between gratitude and workplace happiness. It examines the mechanism through which gratitude influences happiness in the workplace. (shrink)

This paper is about making the ethical discourse relevant to the students of technology in the present age of information. Information ethics is already a part of the present day engagement with information technology at all levels. This encourages us to carry forward the ethical discourse further by bringing in the moral thoughts of Wiener and Gandhi. Both Wiener and Gandhi lived in the age of technology, but both rebelled against it for basically moral reasons. Wiener is the founder of (...) cybernetics and communication science, while Gandhi is a humanist and moralist and a crusader for freedom of humanity. Both agreed, however, that human freedom needs check on the inhuman use of technology. That is, both shared the philosophy of human dignity and value which demand a "human use" of technology. In this paper we explore the possibility of a humanistic ethics for information technology on the basis of moral thoughts of Wiener and Gandhi and wish to present the vision of the human civilization which underlies their thoughts. (shrink)

Manju Jain's innovative study of T. S. Eliot's Harvard years traces the genesis of his major literary, religious and intellectual preoccupations in his early work as a student of philosophy, and explores its influence on his poetic and critical practice. His concerns were located within the mainstream of Harvard philosophical debates, especially in relation to the controversy of science versus religion. These questions (and Eliot's work as he grappled with them) point forward to important debates in contemporary philosophy and (...) hermeneutics. Drawing extensively on unpublished sources, Manju Jain offers answers to the questions of why Eliot failed to find satisfaction in an academic career devoted to philosophy, and why he abandoned the speculations of metaphysics for the dogmas of theology. (shrink)

Manju Jain's innovative study of T. S. Eliot 's Harvard years traces the genesis of his major literary, religious and intellectual preoccupations in his early work as a student of philosophy, and explores its influence on his poetic and critical practice. His concerns were located within the mainstream of Harvard philosophical debates, especially in relation to the controversy of science versus religion. These questions point forward to important debates in contemporary philosophy and hermeneutics. Drawing extensively on unpublished sources, (...) class='Hi'>Manju Jain offers answers to the questions of why Eliot failed to find satisfaction in an academic career devoted to philosophy, and why he abandoned the speculations of metaphysics for the dogmas of theology. (shrink)

We apply an online optimization process based on machine learning to the production of Bose-Einstein condensates. BEC is typically created with an exponential evaporation ramp that is optimal for ergodic dynamics with two-body s-wave interactions and no other loss rates, but likely sub-optimal for real experiments. Through repeated machine-controlled scientific experimentation and observations our ’learner’ discovers an optimal evaporation ramp for BEC production. In contrast to previous work, our learner uses a Gaussian process to develop a statistical model of the (...) relationship between the parameters it controls and the quality of the BEC produced. We demonstrate that the Gaussian process machine learner is able to discover a ramp that produces high quality BECs in 10 times fewer iterations than a previously used online optimization technique. Furthermore, we show the internal model developed can be used to determine which parameters are essential in BEC creation and which are unimportant, providing insight into the optimization process of the system. (shrink)

BackgroundNeuropsychological profile of Indian Duchenne muscular dystrophy subjects remains unidentified and needs to be evaluated.MethodsA total of 69 DMD and 66 controls were subjected to detailed intelligence and neuropsychological assessment. The factor indexes were derived from various components of Malin’s Intelligence Scale for Indian Children and Rey Auditory Verbal Learning Test.ResultsPoor verbal and visual memory profiles were demonstrated by DMDs, which include RAVLT-immediate recall, RAVLT-delayed recall, Rey–Osterrieth complex figure test -IR, and RCFT-DR. RAVLT-memory efficiency index demonstrated poor verbal memory efficiency. (...) Significant differences in the functioning of working memory axis [RAVLT T1, recency T1, Digit Span Backward ] were observed along with reduced performance in visuomotor coordination, visuospatial, and visual recognition abilities. Block designing efficiency index and attention fraction showed a normal performance in DMD kids.ConclusionWorking memory deficits were found to be the crucial element of cognitive functioning in DMD cases. Working memory interventions may be beneficial to improve the neuropsychological profile in DMD. (shrink)

Automatic text summarization extracts information from a source text and presents it to the user in a condensed form while preserving its primary content. Many text summarization approaches have been investigated in the literature for highly resourced languages. At the same time, ATS is a complicated and challenging task for under-resourced languages like Malayalam. The lack of a standard corpus and enough processing tools are challenges when it comes to language processing. In the absence of a standard corpus, we have (...) developed a dataset consisting of Malayalam news articles. This article proposes an extractive topic modeling-based multi-document text summarization approach for Malayalam news documents. We first cluster the contents based on latent topics identified using the latent Dirichlet allocation topic modeling technique. Then by adopting vector space model, the topic vector and sentence vector of the given document are generated. According to the relevant status value, sentences are ranked between the document’s topic and sentence vectors. The summary obtained is optimized for non-redundancy. Evaluation results on Malayalam news articles show that the summary generated by the proposed method is closer to the human-generated summaries than the existing text summarization methods. (shrink)

This sixth volume of Collected Papers includes 74 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2015-2021 by the author alone or in collaboration with the following 121 co-authors from 19 countries: Mohamed Abdel-Basset, Abdel Nasser H. Zaied, Abduallah Gamal, Amir Abdullah, Firoz Ahmad, Nadeem Ahmad, Ahmad Yusuf Adhami, Ahmed Aboelfetouh, Ahmed Mostafa Khalil, Shariful Alam, W. Alharbi, Ali Hassan, Mumtaz Ali, Amira S. Ashour, Asmaa Atef, Assia Bakali, Ayoub Bahnasse, A. A. Azzam, Willem K.M. Brauers, Bui (...) Cong Cuong, Fausto Cavallaro, Ahmet Çevik, Robby I. Chandra, Kalaivani Chandran, Victor Chang, Chang Su Kim, Jyotir Moy Chatterjee, Victor Christianto, Chunxin Bo, Mihaela Colhon, Shyamal Dalapati, Arindam Dey, Dunqian Cao, Fahad Alsharari, Faruk Karaaslan, Aleksandra Fedajev, Daniela Gîfu, Hina Gulzar, Haitham A. El-Ghareeb, Masooma Raza Hashmi, Hewayda El-Ghawalby, Hoang Viet Long, Le Hoang Son, F. Nirmala Irudayam, Branislav Ivanov, S. Jafari, Jeong Gon Lee, Milena Jevtić, Sudan Jha, Junhui Kim, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Songül Karabatak, Abdullah Kargın, M. Karthika, Ieva Meidute-Kavaliauskiene, Madad Khan, Majid Khan, Manju Khari, Kifayat Ullah, K. Kishore, Kul Hur, Santanu Kumar Patro, Prem Kumar Singh, Raghvendra Kumar, Tapan Kumar Roy, Malayalan Lathamaheswari, Luu Quoc Dat, T. Madhumathi, Tahir Mahmood, Mladjan Maksimovic, Gunasekaran Manogaran, Nivetha Martin, M. Kasi Mayan, Mai Mohamed, Mohamed Talea, Muhammad Akram, Muhammad Gulistan, Raja Muhammad Hashim, Muhammad Riaz, Muhammad Saeed, Rana Muhammad Zulqarnain, Nada A. Nabeeh, Deivanayagampillai Nagarajan, Xenia Negrea, Nguyen Xuan Thao, Jagan M. Obbineni, Angelo de Oliveira, M. Parimala, Gabrijela Popovic, Ishaani Priyadarshini, Yaser Saber, Mehmet Șahin, Said Broumi, A. A. Salama, M. Saleh, Ganeshsree Selvachandran, Dönüș Șengür, Shio Gai Quek, Songtao Shao, Dragiša Stanujkić, Surapati Pramanik, Swathi Sundari Sundaramoorthy, Mirela Teodorescu, Selçuk Topal, Muhammed Turhan, Alptekin Ulutaș, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Dan Valeriu Voinea, Volkan Duran, Navneet Yadav, Yanhui Guo, Naveed Yaqoob, Yongquan Zhou, Young Bae Jun, Xiaohong Zhang, Xiao Long Xin, Edmundas Kazimieras Zavadskas. (shrink)