Authentic leadership has appeared as a significant field of research. Building on social exchange theory that explicates how individuals mutually mechanize reciprocation and eventually establish a trust-based relationship, we postulated a positive relationship between authentic leadership and followers' organizational citizenship behaviors (OCB). Based on a two-wave time-lagged design, the data were obtained from 270 employees working in the private banking sector of Pakistan. We found that authentic leadership is positively associated with subordinate’s OCB, as well as, leads to a higher (...) level of both affective and cognitive-based followers' trust. The results also indicated that both affective and cognitive-based trust positively mediated the relationship between authentic leadership and OCB. The implication for theory and practice are discussed. (shrink)

Abraham Ibn Daud critica duramente a Ibn Gabirol en su Fe Exaltada. En este artículo, tengo la intención de demostrar que el objeto genuino de esta crítica es Dominicus Gundissalinus, coautor, junto a Ibn Daud de la traducción de la Shifa’ de Avicena del árabe al latín. Además de su trabajo como traductores, Gundissalinus e Ibn Daud también escribieron obras propias. En este artículo, discuto la definición de materia prima utilizada por Avicena e Ibn Gabirol, adoptada por Ibn Daud y (...) Gundissalinus. Aporto pruebas textuales para demostrar que en la mayoría de los casos en que Ibn Daud critica a Ibn Gabirol, en realidad se está refiriendo a los casos en que Gundissalinus abandona los puntos de vista de Avicena y en su lugar adopta los puntos de vista de Ibn Gabirol. (shrink)

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)

The present study aimed to investigate three questions concerning Kahneman’s Endowment Effect. (a) Does the Endowment Effect apply to negotiations on intangible items such as intellectual resources and time invested in academic chores? (b) Does the sequence in which proposals are presented to the negotiators influence the Endowment Effect and, if so, how? (c) Does the Endowment Effect have the same impact in on-going negotiations as in one-shot negotiations? The investigation focused on the trade-off made by students between advanced courses (...) and seminars, which we term as Academic Chores Trade-Off (ACTO). The results indicated the existence of the Endowment Effect in negotiations on the above intangible items (ACTO) but could also be partially interpreted as reflecting the negotiators attempts to improve their positions. The results also supported the existence of a Sequence Effect combined with an intensification of the Endowment Effect. The Endowment Effect in on-going negotiations was not found to be significantly different from that in the one-shot format. (shrink)

The paper proposes a research model explaining the sequential mediation effect of job embeddedness and work engagement between ethical leadership and career satisfaction. The model also examines whether JE heightens WENG, a factor indirectly influenced by ethical practices ending in employee satisfaction. The study used a time-lagged data collection procedure and survey responses of 247 hotel workers in China. Data were analyzed through structural equation modeling. The results showed that EL directly and indirectly contributes to employee CS. The present empirical (...) framework extends the hospitality industry literature by explaining the precise mechanism through which EL generates CS among hospitality workers in China. The paper offers theoretical and practical implications and future research directions. (shrink)

Presently, there is armed conflict in Darfur, Sudan. Armed conflict has adversely affected the social, economic and educational development of Darfur, Sudan. Purpose of this study is to know the impact of armed conflict on managerial behavior of the principals of secondary schools in Darfur, Sudan. In this study, the impact of armed conflict on performance of the secondary school principals was analyzed in perspective of their managerial behavior. Based on the findings of the study significant impact of armed conflict (...) was found on the managerial behavior of the principals. It was found that principals coordinated with the staff in activities of the school but were frightened and unable to perform their administrative and managerial duties freely and independently. There was communication gap between the principals, teachers and parents. The principals did not possess the skills to maintain school budget & finance properly. It was concluded that the principals need administrative and managerial training. Government of Sudan may establish academies of Educational Administration & Management to impart training to the principals of secondary schools and to take steps to control the existing armed conflict. (shrink)

Knowledge hiding has become an alarming issue for the organizations. Knowledge hiding is an employee’s intentional attempt to conceal knowledge requested by others at the workplace. Employee knowledge hiding significantly influences an organization’s effective functioning. This research is an attempt to extend previous work on antecedents of knowledge hiding. Drawing on conservation of resources theory, it is proposed that receiving poor treatment by organizations in the form of organizational dehumanization creates psychological distress among employees toward the organization. Distress among workers (...) in turn intervenes the path and increases the likelihood of engaging in knowledge hiding behaviors. An employee’s felt obligation for constructive change may moderate the relationship between organizational dehumanization and employee psychological distress. Data for the current study were collected from 245 employees of the telecommunication sector in three-time lags. The results support the direct and indirect effect of organizational dehumanization on employee knowledge hiding behaviors through the mediation of psychological distress. The results also support the moderation of FOCC between organizational dehumanization and psychological distress. Furthermore, the findings of the study may help organizational practitioners and managers about the value of effective organizational climate and practices for better organizational functioning through knowledge sharing and providing insight into undesirable repercussions of organizational dehumanization. Implications for organizations and practitioners are discussed. (shrink)

A Jewish Israeli journalist for the newspaper Ha'aretz offers a portrait of the daily experiences of the Palestinians under Israeli occupation.

Cette finitions de la substance et de l'accident telles qu'elles apparaissent dans le livre d'lbn Daud intitule la Foi exaltee. Acheve en 1160, ce livre fut composcut grbreu (datant l'une et l'autre de la fin du XTVe situde je suggtique du texte arabe sur la base d'une ample comparaison entre, d'une part, des prcesseurs musulmans d'lbn Daud tels qu'Alfarabi, Avicenne et Alghazali et, d'autre part, les traductions en hre apporter plus de lumipendance d'lbn Daud par rapport aux sources non-juives dans (...) sa tentative d'etablir une synthritable signification philosophique incarnfinitions de substance et d'accident. (shrink)

On the productive-operative approach to the foundations of geometry in protophysics. Attempts to establish a foundation to elementary geometry as a theory of spatial figures in Protophysics are surveyed in Section 1. An idea suggested by H. Dingler was to extract the basic properties of the geometrical primitive notions from descriptions of the operations performed in the ‘first’ production of the corresponding objects. P. Janich presents this ‘productive-operative’ approach as a succesful methodical alternative to the ‘geometry of forms’ of R. (...) Inhetveen and P. Lorenzen (Section 2). However, in his work not even one fundamental task seems to be achieved in a satisfactory manner. The article evaluates Janich’s contributions (Section 3) and discusses the shortcomings of his approach (Section 4). In this process a ‘functional-operative’ alternative emerges (Section 5). (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)

(2010). A Review of “Making Sense of Race, Class, and Gender: Commonsense, Power, and Privilege in the United States”. Educational Studies: Vol. 46, No. 1, pp. 139-144.

Relacionar la educación y el trabajo infantil resulta una alternativa para lograr mejorarlos procesos de formativos de los docentes contemporáneos. Este reto actual demanda centrar esfuerzos por parte de distintos actores involucrados, quienes deben colaborar en e l diseño de nuevas estrategias integrales y fundamentadas, que a largo plazo contribuyan a la erradicación del problema.El contexto experiencias dentro del estado de Hidalgo México, expone como el converger de distintas variables puede resultar en una disminución significativa del trabajo infantil en este (...) contexto. (shrink)

The study’s two aims are: to investigate whether groups, as compared to individuals, show a different degree of Endowment Effect during the negotiating of intangible assets, such as leisure time and to gain some insight into the underlying mechanism behind groups’ decision-making processes. A total of 138 graduate students were randomly assigned to 35 groups of 3 members each; and 33 were randomly labeled as “individuals.” The study simulated two scenarios in which the students, both individuals and groups, had to (...) decide what their demands from the university authorities were—once as “sellers” and another time as “buyers” in regard to their own leisure time. The findings indicate the presence of an Endowment Effect in both individuals and groups. However, groups significantly amplified the Endowment Effect in comparison to individuals. The mechanism which best explains why groups tend to amplify negotiating decisions was found to be the “Majority Rule,” but the “leader” also influences such amplification. (shrink)

Dusky groupers (Epinephelus marginatus) are characterized by a complex sex allocation strategies and overexploitation of bigger individuals. We developed an individual based model to investigate the long-term effects of density dependence on grouper population dynamics and to analyze the variabilities of extinction probabilities as a result of interacting mortalities at different life stages. We conduct several simulations with different forms of sex allocation functions and different combinations of mortality rates. The model was parametrized using data on dusky grouper populations from (...) the literature. The most important insights produced by this simulation study are that density dependence of sex allocation is an evolutionarily stable strategy, increases the population biomass, mitigates the effect of the removal of large male and indicates a need for protection of females and flexible stages. (shrink)

To examine the cultural limitations and implications in the applicability of the Depression Anxiety Stress Scale 8-items —a shortened version of the DASS-21 recently introduced in an Arab sample—this study evaluated its psychometric properties, including measurement invariance, among healthy subjects from the United States, Australia, and Ghana. Confirmatory factor analysis revealed good fit of the DASS-8 relative to a 12-item version. Both the DASS-8 and the DASS-12 were invariant at all levels across genders, employment status, and students vs. non-students. The (...) DASS-8/DASS-12 also expressed invariance at the configural and metric levels across all countries, albeit scalar invariance was not maintained due to misspecification of the factor loadings in the Ghanian sample. Mann–Whitney U test revealed significantly lower levels of mental symptomatology on the DASS measures among Ghanian students than in English-speaking respondents. The DASS-8 expressed excellent internal consistency, good convergent validity—noted by high values of item-total correlations, good predictive validity—indicated by significantly strong correlation with the DASS-21 and its subscales, and adequate discriminant validity—indicated by heterotrait–monotrait ratio of correlations <0.85. The DASS-8 correlated with the Internet Gaming Disorder-9, the Adult attention-deficit/hyperactivity disorder Self-Report Scale, and the Individualism and Collectivism Scale/Culture Orientation Scale at the same level as the DASS-21 and the DASS-12, denoting its adequate criterion validity. The DASS-8 can be used as a brief alternative to the DASS-21 to screen for mental symptomatology in English-speaking and African cultures. However, the same scores on the DASS-8 and the DASS-12 may not always indicate the same level of symptom severity in subjects from different countries. Further inter-cultural evaluations of the DASS-8 are needed. (shrink)

Dusky groupers ( Epinephelus marginatus ) are characterized by a complex sex allocation strategies and overexploitation of bigger individuals. We developed an individual based model to investigate the long-term effects of density dependence on grouper population dynamics and to analyze the variabilities of extinction probabilities as a result of interacting mortalities at different life stages. We conduct several simulations with different forms of sex allocation functions and different combinations of mortality rates. The model was parametrized using data on dusky grouper (...) populations from the literature. The most important insights produced by this simulation study are that density dependence of sex allocation is an evolutionarily stable strategy, increases the population biomass, mitigates the effect of the removal of large male and indicates a need for protection of females and flexible stages. (shrink)

Over the past couple of decades, research on the perks of corporate social responsibility has reported that it is a source of competitive advantage and can increase the bottom-line performance of the organization. However, a somewhat small proportion of this research is focused on the ‘greenwash’ side, which posits that not all CSR would lead to positive impacts. By extending this line of research, the current study is aimed at investigating the differential impacts of CSR by developing a scale for (...) the three-dimensional model of CSR attributions coined by Ahmad in 2017, that is, Embedded, P-Social, and P-Instrumental CSR, and testing the same with counterproductive sustainability behaviors. The attribution theory was used to explain the relationship between the study variables. Data (N = 311) were collected from the tourism and hospitality sectors. It was found that Embedded and P-Social CSR practices would be attributed to more genuine CSR and would lead to a reduction in counterproductive sustainability behaviors. Furthermore, the P-Instrumental CSR would be attributed to more selfish and instrumental practices and hence would be considered as greenwashing, which will consequently lead to enhancing counterproductive sustainability behaviors. The study further tested the mediating role of employees' organizational trust, which was also supported by the results. Several theoretical and practical implications are discussed. (shrink)

A personalized recommender system is broadly accepted as a helpful tool to handle the information overload issue while recommending a related piece of information. This work proposes a hybrid personalized recommender system based on affinity propagation, namely, APHPRS. Affinity propagation is a semisupervised machine learning algorithm used to cluster items based on similarities among them. In our approach, we first calculate the cluster quality and density and then combine their outputs to generate a new ranking score among clusters for the (...) personalized recommendation. In the first phase, user preferences are collected and normalized as items rating matrix. This generated matrix is then clustered offline using affinity propagation and kept in a database for future recommendations. In the second phase, online recommendations are generated by applying the offline model. Negative Euclidian similarity and the quality of clusters are used together to select the best clusters for recommendations. The proposed APHPRS system alleviates problems such as sparsity and cold-start problems. The use of affinity propagation and the hybrid recommendation technique used in the proposed approach helps in improving results against sparsity. Experiments reveal that the proposed APHPRS performs better than most of the existing recommender systems. (shrink)

The digital revolution has widened the array of curriculum materials available to history teachers. Given the variable quality of these new materials and the deeply contextual nature of teaching, educators need better tools for selecting among the vast options available. This study aimed to validate a device designed for that purpose, called the Curriculum Materials Evaluation Tool (CMET). Using a questionnaire and think-aloud interview, the study examined how four social studies teachers evaluated a novel material set for potential classroom use, (...) and how the CMET mediated their analysis. Findings showed that the teachers preferred when materials are readily accessible and adaptable for their specific teaching context, in contrast to “one-size-fits-all” resources that dominate the Web. The CMET appeared to foster a deeper and broader analysis of the given material set, especially regarding its political and cultural orientation. The study suggests that teachers’ role in vetting and adapting digital materials be recognized and embraced. The CMET can contribute to that end through its use in district adoption committees, teacher professional development, and collaborative curriculum research. (shrink)

Business Ethics: A European Review, EarlyView.

BackgroundOrgan donation has become one of the most effective ways to save lives and improve the quality of life for patients with end-stage organ failure. No previous studies have investigated the preferences for the different consenting options for organ donation in Egypt. This study aims to assess Egyptians’ preferences regarding consenting options for posthumous organ donation, and measure their awareness and acceptance of the Egyptian law articles regulating organ donation.MethodsA cross sectional study was conducted among 2743 participants over two years. (...) Each participant was required to rank eleven consenting options from 1 to 11, and to report his awareness and acceptance of the seven articles of the Egyptian law of organ donation.Results47% of the participants expressed willingness to donate their organs after death. This percentage increased to 78% when consenting options were explained to participants. “Informed consent by donor only” was the most preferred type of consent for one third of respondents. Awareness of the law articles regulating organ donation was relatively low ranging from 56% to 23%.ConclusionCurrently, around half of the Egyptian population agree to posthumous organ donation. This percentage could be increased significantly by raising the awareness about how the process of donation could be regulated and how the patient’s right of decision could be protected. (shrink)

Intelligent big data analysis is an evolving pattern in the age of big data science and artificial intelligence. Analysis of organized data has been very successful, but analyzing human behavior using social media data becomes challenging. The social media data comprises a vast and unstructured format of data sources that can include likes, comments, tweets, shares, and views. Data analytics of social media data became a challenging task for companies, such as Dailymotion, that have billions of daily users and vast (...) numbers of comments, likes, and views. Social media data is created in a significant amount and at a tremendous pace. There is a very high volume to store, sort, process, and carefully study the data for making possible decisions. This article proposes an architecture using a big data analytics mechanism to efficiently and logically process the huge social media datasets. The proposed architecture is composed of three layers. The main objective of the project is to demonstrate Apache Spark parallel processing and distributed framework technologies with other storage and processing mechanisms. The social media data generated from Dailymotion is used in this article to demonstrate the benefits of this architecture. The project utilized the application programming interface of Dailymotion, allowing it to incorporate functions suitable to fetch and view information. The API key is generated to fetch information of public channel data in the form of text files. Hive storage machinist is utilized with Apache Spark for efficient data processing. The effectiveness of the proposed architecture is also highlighted. (shrink)

Background and ObjectivesThe purpose of this study was to draw the attention toward the implications of COVID-19 and the related restrictions imposed worldwide especially in Pakistan. The primary objective was to highlight the levels of psychological distress, anxiety, family violence, suicidality, and well-being due to COVID-19 and the secondary objective was to associate it to social demographic factors.Materials and MethodsIt is designed as a cross-sectional study by employing an online questionnaire in the English language and obtaining responses using a snowball (...) sampling technique. We used three validated measures including Kessler Psychological Distress Scale, Generalized Anxiety Disorder index and World Health Organization Well-Being Index.ResultsA sample of 420 participants was recruited from across Pakistan, with most participants were females, students and belonging to Punjab. Nearly one-fourth of the participants scored above the minimum value set for moderate or high psychological distress. There was a higher prevalence of distress among females and resident of province Punjab. The majority of individuals reported that they were living with their family and more than half were neutral regarding their satisfaction with their living conditions. 40.5% believed that the lockdown has had a negative impact on their mental health. 31.4% have reported that they themselves have experienced abuse from a family member. 48.6% scored high on the GAD-7 scale and low wellbeing score was found among 80.2%. Students were found to be more vulnerable to mental illness and anxiety.ConclusionWith the lockdown restrictions, psychosocial distress has become prevalent in Pakistan. (shrink)

Background Investigative genetic genealogy (IGG) is a technique that involves uploading genotypes developed from perpetrator DNA left at a crime scene, or DNA from unidentified remains, to public genetic genealogy databases to identify genetic relatives and, through the creation of a family tree, the individual who was the source of the DNA. As policymakers demonstrate interest in regulating IGG, it is important to understand public perspectives on IGG to determine whether proposed policies are aligned with public attitudes.Methods We conducted eight (...) focus groups with members of the public (N = 72), sampled from four geographically diverse US regions, to explore general attitudes and perspectives regarding aspects of IGG practices, applications, and policies. Five major topics were explored in each focus group: when IGG should be used; who should perform IGG; how to approach consent for genetic database users; what systems of oversight should govern IGG practitioners; and whether to notify database users if their data are involved in law enforcement (LE) matching.Results Participants were supportive of IGG in most scenarios, especially for cold and violent cases. The favorable attitudes toward IGG were, however, tempered by distrust of law enforcement among some participants. All participants agreed that databases must inform users if IGG is allowed, but they did not agree on how individual database users should be allowed to opt out or whether to notify them if their data are involved in specific investigations. All participants agreed that IGG should be subject to some prescriptive guidelines, regulations, or accountability mechanisms.Conclusions These findings suggest broad public support for IGG, and interest in developing systems of accountability for its practice. Our study provides useful insight for policy makers, genomic database stewards, law enforcement, and other stakeholders in IGG’s practice, and suggests multiple directions for future research. (shrink)

This research explores the effect of servant leadership on prosocial rule-breaking (PSRB) and the mediating mechanism of public service motivation (PSM) between the association of servant leadership and PSRB. The said phenomenon is examined in the civil service context of Pakistan during the continuing crises of the COVID-19 pandemic, a situation where the traditional civil service policy and rule system has become highly complicated for passionate employees’ service performance and efficiency, and where servant leadership has received greater attention for inspiring (...) the attitudinal and behavioral outcomes of frontline workers during the pandemic. Data were collected from 546 frontline workers of the corona relief tiger force. The findings of the study revealed that servant leadership has a significant effect on PSRB and PSM, and that PSM significantly promotes PSRB. The results also revealed that servant leadership has a significant impact on PSRBviaengendering PSM. (shrink)

The Almoravid and Almohad Empires. By Amira K. Bennison. The Edinburgh History of the Islamic Empires. Edinburgh: Edinburgh University Press, 2016. Pp. xiv + 382. $150, £90 ; $49.95, £29.99.

The critique of my protophysical approaches to operational foundation of geometry by Lucas Amiras (Journal for General Philosophy of Science Vol. 34 (2003)) concerns my first publication from 1976 but not the further 30 years of work. It does not offer any argument leading from the (erroneous) judgement “lacking success” to the conclusion “impossible”. And it is, in general, based on a philosophical defect: it ignores the principle of methodical order as leading for constructivist protophysics.

This anthology brings together for the first time leading essays and book chapters from theologians, philosophers, and scientists on their research relating to ethics, altruism, and love. Because the general consensus today is that scholarship in moral theory requires empirical research, the arguments of the leading scholars presented in this book will be particularly important to those examining issues in love, ethics, religion, and science. The first half of _The Altruism Reader_ offers key selections from religious texts, leading contemporary scholars, (...) and cutting-edge ethicists. Buddhism, Christianity, Hinduism, Islam, and Judaism are represented. Among the highly respected writers are Thomas Aquinas, the Dalai Lama, Thich Nhat Hanh, John Polkinghorne, Stephen Pope, Louis Fischer, Amira Shamma Abdin, Katharine Doob Sakenfeld, and Daniel Day Williams. Primary readings on love and altruism from the sciences are featured in the second half of the book. Here the focus is on anthropology, psychology, sociology, biology, and neurology, with material written by Daniel C. Batson, David Sloan Wilson, Robert Wright, Stephen G. Post, Robert Axelrod, Richard Dawkins, Holmes Rolston III, and other renowned scientists and philosophers. "Virtually all people act—and often talk—as if they have some inkling about love. We speak about loving food, falling in love, loving God, feeling loved, and loving a type of music. We say that love hurts, love waits, love stinks, and love means never having to say you're sorry.We use the word and its derivatives in a wide variety of ways.... My own definition of love is this: To love is to act intentionally, in sympathetic response to others, to promote well-being."—_Thomas Jay Oord_. (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)

This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao (...) The Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam. (shrink)

The only Israelis this generation of Palestinians know are soldiers and settlers. For them, Israel is no more than a subsidiary of an army that knows no limits and settlements that know no borders.Recipient of the UNESCO Guillermo Camo World Press Freedom Prize in 2003, Amira Hass is the only Jewish Israeli correspondent on Palestinian affairs to live among the people about whom she reports. The child of Holocaust survivors, Hass prefers the title "expert in Israeli occupation," and, as (...) such, is relentless in her quest for both truth and justice. (shrink)