While previous studies have examined the impact of informal institutions to determine entrepreneurial activities, this paper explores the different configurational paths of informal institutions to promote men’s and women’s entrepreneurial activities across factor-driven and efficiency-driven economies. We collected data from the Global Entrepreneurship Monitor for 56 countries for the years 2008-2013 and employed fuzzy-set qualitative comparative analysis to conduct the empirical analysis. The results confirm that a single antecedent condition is unable to produce an outcome while combination of different conditions (...) can produce an outcome. We find that cultural-cognitive institutional antecedents in combination with social-normative antecedents create configurations of conditions that lead to the higher levels of men’s and women’s entrepreneurial activities in factor-driven and efficiency-driven economies. Moreover, this study shows that these causal conditions configure differently to promote men’s and women’s entrepreneurial activities in factor-driven and efficiency-driven nations. This paper may create awareness in potential entrepreneurs regarding specific sets of institutional antecedents that can increase the emergence of entrepreneurship in different economic clusters. We show that institutional antecedents which are essential to promote entrepreneurship combine distinctly for men’s and women’s entrepreneurship and this combination varies in different stages of economic development. (shrink)

Young academics have been facing a problem of high turnover rate due to missing links between the institutions’ policies and the performance. This study explores the effect of job embeddedness and community embeddedness on creative work performance and intentions to leave of young teaching staff in academic institutions in Pakistan. In this study, 300 qualified young academics from public and private universities were selected as subjects and asked to complete a questionnaire. Data were collected via mail-survey. A variance-based structural equation (...) model is employed to measure the path model. The results show that the fit-dimension of organizational- and community-embeddedness, along with the moderating effect of organization size and the availability of nearby alternative jobs have a significant impact on improving perceived creative performance and reducing staff turnover intentions. This study suggests that organizations should focus on organizational-fit and community-fit constructs in their nurturing strategies to embed young teachers in their academic institutions. This study also suggests that monetary rewards only are relatively ineffective to improve retention. Hence, public and private sector universities should facilitate meaningful contributions from young teachers in creative work and provide opportunities for social interactions and personal development. (shrink)

This article discusses the extension of ViewGen, an algorithm derived for belief ascription, to the areas of intensional object identification and metaphor. ViewGen represents the beliefs of agents as explicit, partitioned proposition sets known as environments. Environments are convenient, even essential, for addressing important pragmatic issues of reasoning. The article concentrates on showing that the transformation of information in metaphors, intensional object identification, and ordinary, nonmetaphorical belief ascription can all be seen as different manifestations of a single environment-amalgamation process. The (...) article also briefly discusses the extension of ViewGen to speech-act processing and the addition of a heuristic-based relevance-determination procedure, and justifies the partitioning approach to belief ascription. (shrink)

An iterative learning robust fault-tolerant control algorithm is proposed for a class of uncertain discrete systems with repeated action with nonlinear and actuator faults. First, by defining an actuator fault coefficient matrix, we convert the iterative learning control system into an equivalent unknown nonlinear repetitive process model. Then, based on the mixed Lyapunov function approach, we describe the stability of the nonlinear repetitive mechanism on time and trial indices and have appropriate conditions for the repeated control system’s stability in terms (...) of linear matrix inequality theory. Through LMI techniques, we have obtained satisfactory results and controller stability, and robustness against fault tolerance is also discussed in detail. Finally, the simulation results of the output tracking control of the two exemplary models verify the effectiveness of the proposed algorithm. (shrink)

This study analyzed and explored the cognitive load of Australian energy market operators managing one of the longest inter-connected electrical networks in the world. Each operator uses a workstation with seven screens in an active control room environment, with a large coordination screen to show information and enable collaboration between different control centers. Cognitive load was assessed during both training scenarios and regular control room operations via the integration of subjective and physiological measures. Eye-tracking glasses were also used to analyze (...) the operators gaze behavior. Our results indicate that different events, different participants for the same session, and different periods of one session all have varying degrees of cognitive load. The system design was observed to be inefficient in some situations and to have an adverse affect on cognitive load. In critical situations for instance, operator collaboration was high and the coordination screen was used heavily when collaborating between two control centers, yet integration with the system could be improved. Eye tracking data analysis showed that the layout of applications across the seven screens was not optimal for many tasks. Improved layout strategies, potential combination of applications, redesigning of certain applications, and linked views are all recommended for further exploration in addition to improved integration of procedures and linking alarms to visual cues. (shrink)

Topological indices are of incredible significance in the field of graph theory. Convex polytopes play a significant role both in various branches of mathematics and also in applied areas, most notably in linear programming. We have calculated some topological indices such as atom-bond connectivity index, geometric arithmetic index, K-Banhatti indices, and K-hyper-Banhatti indices and modified K-Banhatti indices from some families of convex polytopes through M-polynomials. The M-polynomials of the graphs provide us with a great help to calculate the topological indices (...) of different structures. (shrink)

The connected and acyclic components contained in a network are identified by the computation of its complexity, where complexity of a network refers to the total number of spanning trees present within. The article in hand deals with the enumeration of the complexity of various networks’ operations such as sum, product, difference K 2, n ⊖ K 2, and the conjunction of S n with K 2. All our computations have been concluded by implementation of the methods of linear algebra (...) and matrix theory. Our derivations will also be highlighted with the assistance of 3D plots at the end of this article. (shrink)

In this paper we have defined neutrosophic ideals, neutrosophic interior ideals, netrosophic quasi-ideals and neutrosophic bi-ideals (neutrosophic generalized bi-ideals) and proved some results related to them. Furthermore, we have done some characterization of a neutrosophic LA-semigroup by the properties of its neutrosophic ideals. It has been proved that in a neutrosophic intra-regular LA-semigroup neutrosophic left, right, two-sided, interior, bi-ideal, generalized bi-ideal and quasi-ideals coincide and we have also proved that the set of neutrosophic ideals of a neutrosophic intra-regular LA-semigroup forms (...) a semilattice structure. (shrink)

We have always been conscious of the wait for life-changing messages, whether it be the time it takes to receive a text message from your love, for a soldier's family to learn news from the front, or for a space probe to deliver data from the far reaches of the solar system. In this book in praise of wait times, award-winning author Jason Farman passionately argues that the delay between call and answer has always been an important part of (...) the message. Traveling backward from our current era of Twitter and texts, Farman shows how societies have worked to eliminate waiting in communication and how they have interpreted those times' meanings. Exploring seven eras and objects of waiting--including pneumatic mail tubes in New York, Elizabethan wax seals, and Aboriginal Australian message sticks--Farman offers a new mindset for waiting. In a rebuttal to the demand for instant communication, Farman makes a powerful case for why good things can come to those who wait. (shrink)

Philosophical Investigations, EarlyView.

The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron, recurrent neural network, and autoregressive integrated moving average on historical data. Moreover, we compared the extrapolative abilities of a hybrid of ARIMA with MLP and RNN models, which are called ARIMA-MLP and ARIMA-RNN. Because of the complicated and noisy nature of financial data, we combine novel machine-learning techniques such as MLP and RNN with ARIMA model to predict the three stock (...) market data. The data used in this study are taken from the Pakistan Stock Exchange, National Stock Exchange India, and Sri Lanka Stock Exchange. In the case of Pakistan, the findings show that the ARIMA-MLP and ARIMA-RNN beat the individual ARIMA, MLP, and RNN models in terms of accuracy. Similarly, in the case of Sri Lanka and India, the hybrid models show more robustness in terms of forecasting than individual ARIMA, MLP, and RNN models based on root-mean-square error and mean absolute error. Apart from this, ARIMA-MLP outperformed the ARIMA-RNN in the case of Pakistan and India, while in the context of Sri Lanka, ARIMA-RNN beat the ARIMA-MLP in forecasting. Our findings reveal that the hybrid models can be regarded as a suitable option for financial time-series forecasting. (shrink)

A number of anthropologists have argued that religious concepts are minimally counterintuitive and that this gives them mnemic advantages. This paper addresses the question of why people have the memory architecture that results in such concepts being more memorable than other types of concepts by pointing out the benefits of a memory structure that leads to better recall for minimally counterintuitive concepts and by showing how such benefits emerge in the real‐time processing of comprehending narratives such as folk tales. This (...) model suggests that memorability is not an inherent property of a concept; rather it is a property of the concept, the context in which the concept is presented, and the background knowledge that the comprehendor possesses about the concept. The model predicts how memorability of a concept should change if the context containing the concept were changed. The paper also presents the results of experiments carried out to test these predictions. (shrink)

The purpose of the study is to empirically examine moral ideology, ethical beliefs, and moral intensity in the context of Pakistan. Jones, 366–395, 1991) model and Muncy and Vitell have extensively been investigated and validated in west for examining ethical decision-making process. This study examines and validates these models in a collectivist cultural settings, i.e., Pakistan. A self-administered online survey technique using convenience sampling technique was used to gather data from a sample of 1000 consumers in Pakistan. Final analysis was (...) carried out on 338 valid responses. Data was analyzed using from descriptive analysis, correlation analysis, confirmatory factor analysis, exploratory factor analysis, and model estimation carried out AMOS. Cronbach’s α was used to test the reliability of the instrument. A majority of the consumers were high on idealism and low on relativism. Consumers dejected questionable activities that have harmful outcomes more than ones that have harmless outcomes. Both idealism and relativism are found to significant predict moral intensity. However, no relationship has been found between moral ideology and ethical beliefs. Consumer’s ethical beliefs are found to significantly affect moral intensity and behavioral intention. Social moral intensity is found to mediate the relationship of relativism and harmful ethical beliefs. The study is among the pioneer studies in Pakistan that examines the link of moral ideology, moral intensity, and ethical beliefs. The study provides an Urdu version of scales that can be utilized for further exploration and validation. (shrink)

In this research, the He-Laplace algorithm is extended to generalized third order, time-fractional, Korteweg-de Vries models. In this algorithm, the Laplace transform is hybrid with homotopy perturbation and extended to highly nonlinear fractional KdVs, including potential and Burgers KdV models. Time-fractional derivatives are taken in Caputo sense throughout the manuscript. Convergence and error estimation are confirmed theoretically as well as numerically for the current model. Numerical convergence and error analysis is also performed by computing residual errors in the entire fractional (...) domain. Graphical illustrations show the effect of fractional parameter on the solution as 2D and 3D plots. Analysis reveals that the He-Laplace algorithm is an efficient approach for time-fractional models and can be used for other families of equations. (shrink)

Much experimental evidence shows that minimally counterintuitive concepts, which violate one intuitive ontological expectation of domain-specific natural kinds, are remembered as well as or better than intuitive concepts with no violations of ontological expectations, and much better than maximally counterintuitive concepts with more than one violation of ontological violations. It is also well established that concepts rated as high in imagery, are recalled better than concepts that are low in imagery. We conducted three studies to test whether imagery levels affected (...) recall rates of intuitive, minimally counterintuitive, and maximally counterintuitive concepts. In study 1, we obtained imagery level ratings for 48 three-word items. In study 2, we used the ratings obtained in study 1 in a 2 × 3 recall task in which imagery was manipulated along with counterintutiveness. High imagery items were recalled significantly better than low imagery items for intuitive and maximally counterintuitive items but not for minimally counterintuitive items. Study 3, replicated the findings from study 2 in a 2 × 2 study using a larger number of intuitive and minimally counterintuitive items. In both studies, High imagery items were recalled significantly better than low imagery items for intuitive but not for minimally counterintuitive items. Thus, minimally counterintuitive concepts appear insulated from imagery effects on recall. (shrink)

Alzheimer’s disease is an example of age-related dementia, and there are still no known preventive or curative measures for this disease. Obesity and associated metabolic changes are widely accepted as risk factors of age-related cognitive decline. Insulin is the prime mediator of metabolic homeostasis, which is impaired in obesity, and this impairment potentiates amyloid-β accumulation and the formation of neurofibrillary tangles. Obesity is also linked with functional and morphological alterations in brain mitochondria leading to brain insulin resistance and memory deficits (...) associated with AD. Also, increased peripheral inflammation and oxidative stress due to obesity are the main drivers that increase an individual’s susceptibility to cognitive deficits, thus doubling the risk of AD. This enhanced risk of AD is alarming in the context of a rapidly increasing global incidence of obesity and overweight in the general population. In this review, we summarize the risk factors that link obesity with AD and emphasize the point that the treatment and management of obesity may also provide a way to prevent AD. (shrink)

Ethics issues in the areas of science, technology and medicine have emerged during the last few decades. Many countries have responded by establishing ethics committees at the national level. Identification of National Ethics Committees (NECs) in the Eastern Mediterranean (EM) region and the extent of their functions and capacity would be helpful in developing capacity building programs that address the needs of these committees. Accordingly, we conducted a survey to determine the characteristics of existing NECs in the EM region.

The emerging field of cognition and culture has had some success in explaining the spread of counterintuitive religious concepts around the world. However, researchers have been reluctant to extend its findings to explain the widespread occurrence of culturally counterintuitive ideas in general. This article develops a broader notion of social counterintuitiveness to include ideas that violate shared expectations of a group of people and argues that the notion of social counterintuitiveness is more crucial to explaining cultural success of surprising ideas (...) than the traditional notion of individual counterintuitiveness. Building on the context-based account of individual counterintuitiveness, the article also outlines how the once unorthodox cultural ideas become conventionalized over time only to be swept under the next wave of cultural innovation. By helping us peel away the layers of tradition that weave together the multilayered tapestry of culture, this account can be useful for understanding the development of cultural scaffolding that is needed to support the spread of maximally counterintuitive concepts such as widespread religious concepts of God and ghosts. (shrink)

The purpose of this research is to investigate the associations of internal and external support mechanisms with entrepreneurial success, in the context of China's entrepreneurial sector from network theory perspective. The role of digital technology, as a moderator, has also been analyzed. Data has been obtained from 500 entrepreneurs in Jiangsu, a province in China. All hypotheses were tested using structural equation modeling. It has been found that family support, business partner support, community support and external stakeholder relationships have positive (...) effects on entrepreneurial success. It has also been discovered that digital technology adoption strengthens the positive relationship between business partner support and entrepreneurial success. Theoretical and practical implications have been highlighted and future research suggestions have been provided. (shrink)

Background: Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is acomprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic healthdata. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but theseefforts have been hampered by the size and complexity of SCT. Method: Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the termsin SCT in a way that will (...) support quality assurance of SCT, for example, by allowing consistency checks ofdefinitions and the identification and elimination of redundancies in the SCT vocabulary. Our proposed upper-levelSCT ontology (SCTO) is based on the Ontology for General Medical Science (OGMS). Results: The SCTO is implemented in OWL 2, to support automatic inference and consistency checking. Theapproach will allow integration of SCT data with data annotated using Open Biomedical Ontologies (OBO) Foundryontologies, since the use of OGMS will ensure consistency with the Basic Formal Ontology, which is the top-levelontology of the OBO Foundry. Currently, the SCTO contains 304 classes, 28 properties, 2400 axioms, and 1555annotations. It is publicly available through the bioportal athttp://bioportal.bioontology.org/ontologies/SCTO/. Conclusion: The resulting ontology can enhance the semantics of clinical decision support systems and semanticinteroperability among distributed electronic health records. In addition, the populated ontology can be used forthe automation of mobile health applications. (shrink)

Examining the costs and motivations of warfare is key to conundrums concerning the relevance of this troubling phenomenon to the evolution of social attachment and cooperation, particularly during adolescence and young adulthood—the developmental time period during which many participants are first recruited for warfare. The study focuses on Samburu, a pastoralist society of approximately 200,000 people occupying northern Kenya’s semi-arid and arid lands, asking what role the emotionally sensitized, peer-driven adolescent life stage may have played in the cultural and genetic (...) coevolution of coalitional lethal aggression. Research in small-scale societies provides unparalleled opportunities for sharply defined variables, particularly in age generation societies in which all young men are initiated into “warriorhood.” Proposing an epigenetic and component behavior approach, we examine whether raiding activities such as number of raids, killing, and sparing enemy lives associate with DNA methylation in two candidate genes: MAOA, linked to mood and arousal, and NR3C1, linked to stress and immune response. We report statistically significant associations between the epigenetic variables and the combat variables of overall raiding activity and reportedly showing mercy to enemies. In contrast, epigenetic variables did not associate with post-traumatic stress disorder symptom scores, and the only combat variable associated with PTSD was losing one’s own livestock in a raid. These findings raise important questions concerning the mechanisms driving warfare’s paradoxical mix of violent and altruistic behaviors. (shrink)

IntroductionFrontline healthcare workers have faced significant plight during the ongoing Coronavirus disease 2019 pandemic. Studies have shown their vulnerabilities to depression, anxiety disorders, post-traumatic stress, and insomnia. In a developing country like India, with a rising caseload, resource limitations, and stigma, the adversities faced by the physicians are more significant. We attempted to hear their “voices” to understand their adversities and conceptualize their resilience framework.MethodsA qualitative approach was used with a constructivist paradigm. After an initial pilot, a socio-demographically heterogeneous population (...) of 172 physicians working in COVID-designated centers were purposively sampled from all over India. Following in-depth virtual interviews using a pre-formed semi-structured guide, the data was transcribed and translated verbatim. The interview was focused on their challenges, needs, and processes of coping and support. Charmaz’s grounded theory was used for analysis supplemented by NVivo 10 software.ResultsFear of infection, uncertainty, stigma, guilt, and social isolation emerged as the main challenges. Simultaneously, their “unmet needs” were flexible work policies, administrative measures for better medical protection, the sensitivity of media toward the image of HCW, effective risk communication for their health, and finally, social inclusion. Their resilience “framework” emerged as a process while navigating these adversities and consisted of three facets: forming a “resilient identity,” managing the resilience, and working through the socio-occupational distress. The role of mental well-being, social network, peer support, problem negotiation, and self-care emerged as the key coping strategies.ConclusionThe study findings support the global call for better psychosocial health and quality of life of the frontline HCWs. Their “unheard voices” explored in the study can anchor subsequent resilience-enhancing interventions and policies. Guidelines focusing on the psychological wellbeing of frontline HCWs need to be grounded in their unmet needs and lived experiences. (shrink)

This communique presents the Q-S synchronization of two nonidentical complex nonlinear hyperchaotic systems with unknown parameters. An adaptive controller based on adaptive integral sliding mode control and parameter update laws are designed to realize the synchronization and parameter identification to a given map vector. The aforementioned strategy’s employment demands the transformation of a system into a specific structure containing a nominal part and some unknown terms. An integral sliding mode controller is used to stabilize the error system by designing nominal (...) control accompanied by compensator control. For chattering suppression, a continuous compensator of smooth nature is used instead of conventional control. The stability of the proposed algorithm is established in an impressive way, using Lyapunov criteria. A numerical simulation is performed to illustrate the validity of the proposed synchronization scheme. (shrink)

Книга предназначена для студентов, преподавателей и научных сотрудников высших учебных заведений, занимающихся вопросами философии.

This study is an effort to determine the status of Christian feminist theology in Pakistan and discusses the issues and challenges of patriarchal control of Church and religious, political, social, and minority issues faced by Christian women in Pakistan. It traces the history of Christian feminist theology in Pakistan as well. This qualitative study looks at important texts written on Christian theology, Christian feminism, and history of Church in Pakistan and also presents findings of in-depth interviews with women associated with (...) Church in Pakistan. (shrink)

In the last decades, researchers have been considering some fundamental issues such as energy saving, global warming, greenhouse emissions, and non-renewable energy to make models of house environmental standards to achieve a suitable consumption pattern for saving energy. In architecture, using natural energy is one of the essential pillars of design because it was one of the criteria of designing, which was considered on climate and geography, and it has been a high performance of climate adaptation in the modeling of (...) traditional houses. In this research, Azerbaijan is selected to evaluate the practical features of traditional Iranian houses designed in the cold climate, and criteria for developing sensible solutions to achieve a suitable design model for energy saving are provided. The primary purpose of this paper is to evaluate and identify the features of climate design in traditional houses in a cold climate, which are suitable residential buildings for energy management, and to identify the components affecting energy saving. The data collection method is based on checklists, observation, considering the orientation, density, solar radiation angle in the region, documentary, analysis of maps, and adaptation of the architectural plan of the studied houses with the pattern of solar radiation in the area. This research discusses the design criteria for future structures and their adaptable measures based on the obtained results. Finally, it is declared that the traditional architectural design model follows the region’s climatic conditions, and considering the current climate and energies, traditional houses were designed; therefore, the best model for maximum use of available energy is climatic design. As a result, suggestions are made regarding residential architecture design to save energy. (shrink)

Most of the IoT-based smart systems require low latency and crisp response time for their applications. Achieving the demand of this high Quality of Service becomes quite challenging when computationally intensive tasks are offloaded to the cloud for execution. Edge computing therein plays an important role by introducing low network latency, quick response, and high bandwidth. However, offloading computations at a large scale overwhelms the edge server with many requests and the scalability issue originates. To address the above issues, an (...) efficient resource management technique is required to maintain the workload over the edge and ensure the reduction of response time for IoT applications. Therefore, in this paper, we introduce a metaheuristic and nature-inspired Artificial Bee Colony optimization technique that effectively manages the workload over the edge server under the strict constraints of low network latency and quick response time. The numerical results show that the proposed ABC algorithm has outperformed Particle Swarm Optimization, Ant Colony Optimization, and Round-Robin Scheduling algorithms by producing low response time and effectively managing the workload over the edge server. Furthermore, the proposed technique scales the edge server to meet the demand of high QoS for IoT applications. (shrink)

As organizations are benefiting from investments in big data analytics capabilities building and education, our study has analyzed the impact of big data analytics capabilities building and education on business model innovation. It has also assessed technological orientation and employee creativity as mediating and moderating variables. Questionnaire data from 499 managers at enterprises in Jiangsu, China have been analyzed using Structural Equation Modeling in SmartPLS. Big data analytics capabilities building and education strengthen technological orientation and increase business model innovation. Technology (...) orientation increases business model innovation and plays a mediating role. Employee creativity also boosts innovation. These findings show that business managers should adopt and promote a technological orientation. They should hire and train employees with big data education and training. Organizations can try to select and support employees who show creativity. (shrink)

Graph theory is one of those subjects that is a vital part of the digital world. It is used to monitor the movement of robots on a network, to debug computer networks, to develop algorithms, and to analyze the structural properties of chemical structures, among other things. It is also useful in airplane scheduling and the study of diffusion mechanisms. The parameters computed in this article are very useful in pattern recognition and image processing. A number d f, w = (...) min d w, t, d w, s is referred as distance between f = t s an edge and w a vertex. d w, f 1 ≠ d w, f 2 implies that two edges f 1, f 2 ∈ E are resolved by node w ∈ V. A set of nodes A is referred to as an edge metric generator if every two links/edges of Γ are resolved by some nodes of A and least cardinality of such sets is termed as edge metric dimension, e dim Γ for a graph Γ. A set B of some nodes of Γ is a mixed metric generator if any two members of V ∪ E are resolved by some members of B. Such a set B with least cardinality is termed as mixed metric dimension, m dim Γ. In this paper, the metric dimension, edge metric dimension, and mixed metric dimension of dragon graph T n, m, line graph of dragon graph L T n, m, paraline graph of dragon graph L S T n, m, and line graph of line graph of dragon graph L L T n, m have been computed. It is shown that these parameters are constant, and a comparative analysis is also given for the said families of graphs. (shrink)

This article is an up-dated version of Gordon Brown's ontological approach to education. It tests the hypothesis that Roy Bhaskar's critical realism can successfully underpin education by applying...

Recent research has shown a memory advantage for minimally counterintuitive concepts, over concepts that are either intuitive or maximally counterintuitive, although the general result is heavily affected by context. Items from one such study were given to subjects who were asked to create novel stories using at least three concepts from a list containing all three types. Results indicated a preference for using MCI items, and further disclosed two styles of usage, an accommodative style and an assimilative style. The results (...) extend recent memory research and suggest extensions to recent theories intended to explain the prevalence of counterintuitive religious concepts. (shrink)