The purpose of this study is to find out that whether the jobs of nurses in Pakistan are fulfilling their necessary requirements or not. This issue is being analyzed by the relation of Person-Job (P-J) Fit with three different JobBehaviors and the whole relation is being tested under the moderation of Agreeableness, which is a personality trait of the Big5 Model. A survey method is deployed, questionnaires are used to obtain data. 120 Nurses were accessed from different hospitals of Islamabad/Rawalpindi. (...) Data were analyzed through statistical tests and regression analysis. Findings of the study highlight that P-J fit is related positively to job satisfaction of nurses and negatively to their Turnover Intentions.Where no significant impact of agreeableness as a moderator is found for this study. The Sample size was too small (120participants). This may restrict the generalizability of the studies. In the Pakistani context, only a limited study has been conducted on nurses. Thus, this piece of research will play a significant role in enhancing and boosting the confidence of deprived nurses of Pakistan by identifying the causes of negative job outcomes and help in mitigating those triggers. (shrink)

Abstract: The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of (...) books. The prediction is based on these features (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which were used as input variables and (average_rating) as output variable for our ANN model. Our model were created, trained, and validated using data set in JNN environment, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.78% of the validation samples. (shrink)

This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli Amin, (...) Anirudha Ghosha, Nasruddin Hassan, Hoang Viet Long, Jhulaneswar Baidya, Jin Kim, Jun Ye, Darjan Karabašević, Vasilios N. Katsikis, Ieva Meidutė-Kavaliauskienė, F. Kaymarm, Nour Eldeen M. Khalifa, Madad Khan, Qaisar Khan, M. Khoshnevisan, Kifayat Ullah,, Volodymyr Krasnoholovets, Mukesh Kumar, Le Hoang Son, Luong Thi Hong Lan, Tahir Mahmood, Mahmoud Ismail, Mohamed Abdel-Basset, Siti Nurul Fitriah Mohamad, Mohamed Loey, Mai Mohamed, K. Mohana, Kalyan Mondal, Muhammad Gulfam, Muhammad Khalid Mahmood, Muhammad Jamil, Muhammad Yaqub Khan, Muhammad Riaz, Nguyen Dinh Hoa, Cu Nguyen Giap, Nguyen Tho Thong, Peide Liu, Pham Huy Thong, Gabrijela Popović‬‬‬‬‬‬‬‬‬‬, Surapati Pramanik, Dmitri Rabounski, Roslan Hasni, Rumi Roy, Tapan Kumar Roy, Said Broumi, Saleem Abdullah, Muzafer Saračević, Ganeshsree Selvachandran, Shariful Alam, Shyamal Dalapati, Housila P. Singh, R. Singh, Rajesh Singh, Predrag S. Stanimirović, Kasan Susilo, Dragiša Stanujkić, Alexandra Şandru, Ovidiu Ilie Şandru, Zenonas Turskis, Yunita Umniyati, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Binyamin Yusoff, Edmundas Kazimieras Zavadskas, Zhao Loon Wang.‬‬‬‬. (shrink)

In his 2016 book, Against Empathy: The Case for Rational Compassion, Paul Bloom argues that “if we want to be good caring people, if we want to make the world a better place, then we are better off without empathy.” I’ve specifically chosen this formulation of Bloom’s position because it gets at the issue I will most directly challenge him on - that we would, or even could, be better off without empathy. The position I will defend is that our (...) empathy plays an indispensable role in the development of our moral conscience, and an ongoing role in the cultivation of our moral concepts, that would be compromised by suppressing our empathy. On this understanding, I argue that we would generally be better served by cultivating our empathy to mitigate and overcome its shortcomings, rather than suppressing our empathy as Bloom recommends. (shrink)