Evolution Of Literature Research Articles

CHINESE AESTHETIC CHARACTERISTICS, ARTISTIC PERFORMANCE, AND MODERN SIGNIFICANCE OF LITERARY LANGUAGE

Literary language holds a distinct and crucial aesthetic value within literature and art. As a fundamental element of literature, it is an aesthetically refined form of language characterized by rhythm, implication, rhetoric, and strangeness. Its artistic performance is multifaceted, encompassing the creation of indirect artistic images, the depiction of the grand and intricate material world, and the exploration of profound emotional landscapes. Literary language's aesthetics and diverse artistic performance significantly contribute to historical traditions, literature evolution, and individual experience, securing its vital and irreplaceable role in contemporary society

Evolutionary sensemaking: a managerial metacognitive dynamic capability to reduce information asymmetry

PurposeHow can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.Design/methodology/approachWe have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.FindingsWe propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.Practical implicationsTo develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.Originality/valueThe proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.

Arranged and non-arranged marriages have similar reproductive outcomes in Nepal

Much of the evolutionary literature on mate choice presumes that individual mate preferences function to increase individual fitness, and this assumption has been confirmed in several experimental studies with animals. However, human mate choice, in many cultures, is heavily controlled by parents via arranged marriages, rather than the selection of the marrying individuals. Several studies have demonstrated that parents and offspring do not exhibit identical preferences for an in-law or spouse, respectively. If parental choice thwarts offspring’s evolved mate preferences from being expressed, then arranged marriages should reduce fitness. Using data from the Chitwan Valley Family Study, I examined whether having an arranged marriage, as compared to a non-arranged marriage, is associated with differences in total births, offspring survival to age 15, or interbirth intervals in Nepal, a culture with a rich history of arranged marriage. I find that there are no differences in any reproductive outcomes between arranged, co-selected, and self-selected marriages. These results indicate that individuals in arranged and non-arranged marriages may achieve similar fitness outcomes via different pathways, which may be unique to human mating systems.

Conceptualising Of Muslims In Using Ar-Rahnu Services Offered by Malaysian Islamic Banks

This paper aims to recognize and discuss the factors influencing the intention of Muslims to participate in Ar-Rahnu offered by Islamic banks. Despite conventional pawnshops offering a higher margin to the value of collateral higher asset values in loans compared to Ar-Rahnu, there has been a noticeable increase in the demand for Ar-Rahnu over the years. The discussions attempt to create a discourse around the factors that influence the intention of Muslims to participate in Ar-Rahnu by using the Theory of Planned Behaviour plus religiosity. The findings propose conceptual frameworks that consist of components such as attitudes, subjective norms, perceived behavioral control, and religiosity as factors influencing the intention of Muslims to participate in Ar-Rahnu. However, these frameworks remain conceptual and await validation through empirical testing by future researchers. The findings of this study will provide valuable insights for Malaysian Islamic banks to enhance their Ar-Rahnu services. By aligning their offerings with Muslims' preferences and needs, Islamic banks can foster stronger relationships with their customer base and potentially attract new clientele. This review is hoped to be valuable to the present and future Ar-Rahnu scholars interested in the evolution of literature and identifying opportunities for future research. Ultimately, this paper addresses the crucial question of the factors influencing Muslims' intention to participate in Ar-Rahnu services in Islamic banks, thus contributing to the advancement of knowledge in this field.

Love as narrative drive: Level 26: dark origins and transmedia storytelling

Throughout history, the discourse surrounding love has seen myriad interpretations since ancient Greek times. In the tapestry of European literature's evolution, the novel's intimate exploration of personal realms has elevated love as a pivotal driving force shaping characters' actions. This intrinsic link between the novel and love has become a focal point for examination. Our objective is to analyze the transmedia novel Level 26: Dark Origins (2009) by Anthony E. Zuiker and Duane Swierczynski. We aim to unravel how the merging of diverse media forms enriches the narrative's exploration of love within its broader thematic framework. This novel stands as an exemplar of transmedia storytelling, seamlessly integrating traditional print narrative with immersive online video content. Drawing insights from esteemed scholars like Henry Jenkins (2009), René Girard (1961), and Erich Fromm (1956), our analysis observes the layers of love portrayed in Level 26: Dark Origins from the romantic and familial to the more shadowy and obsessive aspects. By exploring the intricate complexities of human emotions, this multimedia extension, particularly the video series, accentuates the narrative's visual storytelling prowess, offering a nuanced portrayal of love.

No evidence for relationship between paternal post-partum depressive symptoms and testosterone or cortisol in first-time fathers.

Male life history strategies are regulated by the neuroendocrine system. Testosterone (T) and cortisol regulate male behaviors including parenting and facilitate managing tradeoffs at key transitions in development such as first-time fatherhood. Both hormones demonstrate marked fluctuations in the postnatal period, and this presents an opportunity to investigate the role of T and cortisol in postpartum depressive symptoms-comparably less studied in fathers than in mothers in the evolutionary literature. Prior work on depressive symptoms has yet to integrate insights from the "dual hormone hypothesis (DHH)" which has focused on how T and cortisol interact to jointly regulate traits associated with dominance and status-seeking (i.e., mating effort) but has yet to be included in models of parenting effort. In this research, we use secondary data to investigate the relationship between DHH and traits ostensibly opposed to status seeking (i.e., depressive symptoms). First-time fathers (n = 193) provided morning saliva samples 10 months following parturition and reported on the presence of depressive symptoms (BDI-II). Responses were decomposed into three factors: cognitive, affective, and somatic. Using hybrid latent variable structural equation modeling, we did not find evidence that T predicted variability in cognitive, affective, or somatic depressive symptom factors. We found a null effect for cortisol as well. Finally, we could not find evidence that the DHH variable (T × cortisol interaction) predicted any variability in cognitive, affective, or somatic depressive symptoms. While we did not find evidence to support our hypotheses using a secondary data set, this study contributes to research on the neuroendocrinology of depression in fathers. Discussion focuses on the limitations of sample demographics, timing of saliva and self-report collection, and the lack of extant theory specific to paternal postpartum depression.

Portugal’s Crowdfunding: A Systematic Literature Review

This study aims to analyze and classify the evolution of crowdfunding in Portugal from 2014 to 2020, addressing the central question, “What is the evolution of literature on crowdfunding and its research focuses in Portugal?”. Additionally, it investigates, through the sub-question, if crowdfunding is perceived as an alternative form of financing. The methodology employs a systematic review, covering four thematic areas: (1) research focus—concepts; (2) research method—quantitative/qualitative identification; (3) geographical area—countries of study; (4) innovation—future research areas. The research begins with Google Scholar, followed by a more specific search of the B-On database, focusing on the Portuguese context. Results highlight the scarcity of research in Portugal, emphasizing the nascency of crowdfunding in the country. The study reveals the importance of investor behavior, influenced by platform security and regulations. Growth in crowdfunding in Portugal is anticipated, attracting multidisciplinary interest but emphasizing the need for more comprehensive studies. Despite limitations in data availability, the study provides valuable insights for entrepreneurs seeking alternative financing in Portugal, demonstrating crowdfunding as an alternative financing method. Integration of crowdfunding with technology, especially blockchain, is suggested as a potentially disruptive system, paving the way for future research and innovations.

A model-based hypothesis framework to define and estimate the diel niche via the 'Diel.Niche' R package.

How animals use the diel period (24-h light-dark cycle) is of fundamental importance to understand their niche. While ecological and evolutionary literature abound with discussion of diel phenotypes (e.g. diurnal, nocturnal, crepuscular, cathemeral), they lack clear and explicit quantitative definitions. As such, inference can be confounded when evaluating hypotheses of animal diel niche switching or plasticity across studies because researchers may be operating under different definitions of diel phenotypes. We propose quantitative definitions of diel phenotypes using four alternative hypothesis sets (maximizing, traditional, general and selection) aimed at achieving different objectives. Each hypothesis set is composed of mutually exclusive hypotheses defined based on the activity probabilities in the three fundamental periods of light availability (twilight, daytime and night-time). We develop a Bayesian modelling framework that compares diel phenotype hypotheses using Bayes factors and estimates model parameters using a multinomial model with linear inequality constraints. Model comparison, parameter estimation and visualizing results can be done in the Diel.Niche R package. A simplified R Shiny web application is also available. We provide extensive simulation results to guide researchers on the power to discriminate among hypotheses for a range of sample sizes (10-1280). We also work through several examples of using data to make inferences on diel activity, and include online vignettes on how to use the Diel.Niche package. We demonstrate how our modelling framework complements other analyses, such as circular kernel density estimators and animal movement modelling. Our aim is to encourage standardization of the language of diel activity and bridge conceptual frameworks and hypotheses in diel research with data and models. Lastly, we hope more research focuses on the ecological and conservation importance of understanding how animals use diel time.

Flash Flood Susceptibility Modelling Using Soft Computing-Based Approaches: From Bibliometric to Meta-Data Analysis and Future Research Directions

In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, emerging themes, and knowledge gaps in flood susceptibility modeling. Relevant publications were retrieved from the Web of Science database to identify the leading authors, influential journals, and trending articles. The results of the meta-data analysis indicated that hybrid models were the most frequently used prediction models. Results of bibliometric analysis show that GIS, machine learning, statistical models, and the analytical hierarchy process were the central focuses of this research area. The analysis also revealed that slope, elevation, and distance from the river are the most commonly used factors in flood susceptibility modeling. The present study discussed the importance of the resolution of input data, the size and representation of the training sample, other lessons learned, and future research directions in this field.

Sürdürülebilir yeşil ulaşımın araştırma eğilimi ve bibliyometrik analizi

In recent years, the concept of green transportation has rapidly entered our lives with the increasing awareness of environmental problems such as climate change, air pollution and depletion of natural resources. Green transportation has become a new scientific research area under the umbrella of sustainability due to its benefits to both the economy and the environment. The aim of this study is to provide a common quantitative and qualitative understanding of the overall evolutionary trend, knowledge structure and literature gaps of the sustainable and green transportation (S&GT) research field. For this purpose, the Bibliometrix library provided by R software was used to analyze S&GT-related scientific research in the Web of Science database. In this study, using the science mapping approach, a total of 2018 publications published from 1997 to 2022 were analyzed and synthesized in detail. In addition, visualized statistics on the number of publications, citations, prominent authors, institutions, countries, sources, keywords and research themes in the field of S&GT were analyzed bibliographically. The analysis results show that China is the largest contributing country; Changan University is the most influential institution; Zhang L. is the most influential writer; Sustainability Journal is the primary publishing platform, in the S&GT field. The results are expected to guide researchers interested in S&GT issues to identify research gaps. In conclusion, the findings systematically describe the current state of play, key issues and academic frontiers in the field of S&GT.

Long-distance social relationships can both undercut and promote local natural resource management.

The management of large common-pool resources, like fisheries and forests, is more difficult when more people and more communities can access them-a particular problem given increased population sizes, higher mobility and globalized trade in the Anthropocene. Social relationships spanning communities, such as kin relationships, business or trade relationships and friendships, can make management even more challenging by facilitating and transmitting norms of overharvesting. However, these long-distance relationships can also bolster management by transmitting norms for sustainability, promoting interdependence and laying the groundwork for nested management systems. Here, we review the negative and positive impacts of long-distance relationships on local natural resource management (NRM), providing illustrative examples from our field research on forest and fisheries management in Tanzania. Drawing on the evolutionary literature, the development literature and our field data, we offer suggestions for how development partners can avoid the pitfalls of long-distance relationships and how they can use or even deliberately foster long-distance relationships to promote successful local NRM. This article is part of the theme issue 'Evolution and sustainability: gathering the strands for an Anthropocene synthesis'.

The challenges of encouraging refugee assistance: lessons learned from reframing the problem as one of within-group collective action and norm change

Cooperation across group boundaries presents special theoretical and practical challenges. Fostering altruism towards refugees magnifies these difficulties given structural inequalities between host communities and those in need of help. Nonetheless, countless organisations and grass-roots efforts provide critical and effective support for asylum seekers around the world. In this article, we analyse a case of a successful grass-roots effort to help a family of asylum seekers in Australia. We use this as a starting point to review the evolutionary social-science literature on cooperation and suggest ways that collective action in support of refugees can be promoted and maintained. The challenge can be reframed as one of achieving two goals: first, norm change; and, second, encouraging altruistic actions. The former requires convincing prospective hosts that refugee support is indeed a public good at the community level. The second goal requires encouraging cooperation within the host community. We have better evidence of what works for the latter than the former.

The Home Country Institutional Environment as an Internationalization Driver for the Large Brazilian Pharmaceutical Companies

This study analyses the internationalization characteristics of Large Brazilian Pharmaceutical Companies. It contributes to the international business and evolutionary literature by showing how the home country institutional environment affects the firms’ internationalization at a country- and industry-level. The methodology is a multiple case study with eight companies, exploring their competitive advantages, strategies, and obstacles to international expansion. Findings reveal that home country institutional environment constraints pushed companies to build capabilities to survive and compete in the domestic market, which served as advantages when going international. Companies’ internationalization is driven by the exploitation and exploration of assets and capabilities.

Neuro-augmented vision for evolutionary robotics

This paper presents neuro-augmented vision for evolutionary robotics (NAVER), which aims to address the two biggest challenges in camera-equipped robot evolutionary controllers. The first challenge is that camera images typically require many inputs from the controller, which greatly increases the complexity of optimising the search space. The second challenge is that evolutionary controllers often cannot bridge the reality gap between simulation and the real world. This method utilises a variational autoencoder to compress the camera image into smaller input vectors that are easier to manage, while still retaining the relevant information of the original image. Automatic encoders are also used to remove unnecessary details from real-world images, in order to better align with images generated by simple visual simulators. NAVER is used to evolve the controller of a robot, which only uses camera inputs to navigate the maze based on visual cues and avoid collisions. The experimental results indicate that the controller evolved in simulation and transferred to the physical robot, where it successfully performed the same navigation task. The controller can navigate the maze using only visual information. The controller responds to visual cues and changes its behaviour accordingly. NAVER has shown great potential as it has successfully completed (so far) the most complex vision-based task controller in evolutionary robotics literature.

Soft Power in Northeast Asia, Using AI in Information Warfare

Purpose: Conflicts between Korea, the United States, Japan, North Korea, China, and Russia continue along with the competition for supremacy between the United States and China, and conflicts between South and North Korea and between China and Taiwan continue as the Korean Peninsula is an area with a high possibility of military conflict. However, even in North Korea, China, and Russia, which are closed countries, the influence of the soft power of cultural content such as dramas through the Internet is bringing about changes in collective sentiment even in closed countries. Due to these phenomena, Northeast Asia, which has been confronted with military power, is facing a new phase, and we wanted to discuss the use of AI technology in information warfare by the soft power of the Intelligence Agency.
 Method: For the expansion of AI use and research on information warfare, the historical cases of Northeast Asia were analyzed, and the evolution of literature and media was reviewed to understand the phenomenon of artificial intelligence (AI) after the 4th industrial revolution, and the themes were selected. In addition, related data were collected and reviewed, and an attempt was made to theoretically establish the research results academically.
 Results: 1. Northeast Asia is undergoing a transition from order based on hard power through military power to soft power based on cultural content. Just as the spread of culture has expanded faster and deeper the more it is controlled by the state, many researchers in Northeast Asia sympathize with the collapse of the system when asked how long such surveillance and control by dictatorships such as China and North Korea will be possible. According to this phenomenon, the influence of the power of culture on society was analyzed. 2. Artificial intelligence (AI) learning information will adversely affect sound soft power due to manipulated information and biased algorithm learning data. Due to this loophole, the Intelligence Agency will launch an information war using artificial intelligence (AI) technology that suits its own interests. In addition, the Internet will accelerate the propagation speed of distorted soft power and penetrate deeply into human life. Therefore, the Intelligence Agency is expected to analyze the influence of this distorted soft power on its country and start blocking and defending against attacks.
 Conclusion: 1. The legal system before the advent of AI is expected to be modified or supplemented by more than 50% after the advent of AI. In accordance with this paradigm shift, the authority of the Intelligence Agency in the information warfare of AI was divided into the right to investigate, the right to investigate, and the right to operate. 2. In response to the threat of using artificial intelligence (AI) in information warfare, the government of the country not only expanded the size of the Intelligence Agency but also proposed a hybrid structure of cooperation with the private sector, that is, a model of ‘hybrid defense’. Lastly, in 1983, when tensions between the US and the Soviet Union were in the Cold War, the state-of-the-art scientific equipment, a satellite for detecting nuclear missiles, recognized the US ICBM launch warning. In response, Lieutenant Colonel Stanislav Petrov, commander of the Watch Command of the Soviet Air Defense Force, determined through human intuition that this was a computer error. It reexamined the case of preventing World War III by judging computer errors through human intuition, not judgment of scientific equipment, and suggested ethical issues in information warfare.

Examining ideology and agency within intensive motherhood literature

In exploring why American mothers spend more time on care work compared to prior decades while increasingly engaging in paid work, Hays (1997) attributed women's actions to intensive motherhood (IM) ideology. Hays also asserted that women purposedly adhere to IM to resist an increasingly neoliberal market-based society by dedicating time and effort to nurturing children and family life. Here, we undertake a content analysis to take stock of IM literature's evolution in recent decades. Specifically, we examine scholars’ treatment of how women adhere to IM, and why and whether women do so in resistance to neoliberalism. We found that while scholars consistently cite and echo Hays (1997) on how women adhere to IM, most depart from Hays (1997) by positing women adhere to live up to an ideal of being a perfect mother due to the pervasive nature of IM. We also found many scholars focus on the possibility of resisting IM ideology itself rather than Hays’s (1997) perspective that women employ the ideology to resist neoliberalism. These findings raise questions about how women's agency manifests in the IM context, and concerns about embedded assumptions that limit our understanding of women's realities. Implications are discussed.

Preference for Averaging in East Asian Faces: A Source of Potential Guidance in Aesthetic Plastic Surgery.

Relatively little research has been done on the application of objective tools in guiding Ethnic Plastic Surgery in Asian patients. The evolutionary psychology theory of koinophilia, or love of average features, presents the basis for a solution to build a foundation for crowd-sourced East Asian aesthetic standards. The authors hypothesize that the averaged composite face in a cohort will be viewed as significantly more attractive than their respective cohort. Cohorts were created based on the gender of the individual in the photograph (40 females and 40 males of East Asian descent). Two surveys were created, 1 for the female cohort and the other for the male. The surveys assessed the aesthetic preference of each photograph using a Likert scale ranging from 1 to 7. Surveys were distributed using the popular crowdsourcing program Amazon Mechanical Turk (Amazon, Seattle, WA). The authors received 875 respondents for the male cohort survey and 876 respondents for the female cohort survey. For both the female and male cohorts, the composite images had a statistically significantly higher rating (P < .001) than the mean of the other images. Among other significant demographic findings, when considering both ethnicity and location of residence, Asian raters living in Asia preferred the composite significantly more than Asian raters living in North America (P < .001). Raters' preference for the composite average face is in concordance with the evolutionary psychology literature. Thus, this study affirms the utility of using facial composites to guide surgeons in identifying aesthetic standards for patients of East Asian descent.

Outside In: challenges for evolutionary studies on entry

Abstract This short note reviews the evolutionary modeling literature focusing on the specific topic of entry of new firms. A large variety of choices have been employed to model entry, often motivated by the need to keep the model simple and comprehensible. Entry is more subject to simplification pressures than other elements of industrial dynamics because a deeper treatment of the phenomenon requires the specification of details external to the focal industry. Starting from more recent and elaborate models of entry, some proposals for further advancement are put forth.

Policies to support the internationalisation of latecomer science-based firms: the experience of large Brazilian pharmaceutical companies

PurposeThis study aims to analyse how different types of public policies have supported the internationalisation of latecomer science-based firms, taking the case of large Brazilian pharmaceutical companies (LBPCs).Design/methodology/approachThe methodology comprises a multiple case study and uses a literature review, fieldwork interviews and document analysis of eight LBPCs, five policymakers and three sector experts.FindingsDirect and indirect policies differ in supporting LBPCs’ internationalisation motivation. The indirect policies created the necessary conditions to accumulate knowledge and capacity in the domestic market. LBPCs that adhere more to policies supporting production and technological capabilities development are internationalising as an extension of their innovative efforts. In contrast, LBPCs that have built productive capacities and have not yet reached a minimum level of technological capacity go abroad to exploit their production capabilities with the support of direct policies.Originality/valueThis study contributes to international business and evolutionary literature, demonstrating the channels through which public policies support latecomer science-based firms. The results show that direct and indirect policies assist firms’ internationalisation in different ways, according to actors’ perception: providing support to strengthen their domestic capabilities, which have become competitive advantages in the international market; or offering support to external expansion. It emphasises that industrial policies are relevant to support companies in creating the initial conditions (ownership advantages) to internationalise, and direct policies are important to help companies to design international strategies. This study also debates that policies supporting companies’ internationalisation depend on their adhesion to programmes and incentives and their routines and capabilities, which are specific to each company and lead to different motivations for international expansion.

Epigenetic opportunities for evolutionary computation

Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that take inspiration from cultural inheritance. However, much of the modern evolutionary literature remains relatively unexplored. To understand which evolutionary mechanisms have been considered, and which have been overlooked, this paper breaks down successful bioinspired algorithms under a contemporary biological framework based on the extended evolutionary synthesis, an extension of the classical, genetics focused, modern synthesis. Although the idea of the extended evolutionary synthesis has not been fully accepted in evolutionary theory, it presents many interesting concepts that could provide benefits to evolutionary computation. The analysis shows that Darwinism and the modern synthesis have been incorporated into evolutionary computation but the extended evolutionary synthesis has been broadly ignored beyond: cultural inheritance, incorporated in the sub-set of swarm intelligence algorithms, evolvability, through covariance matrix adaptation evolution strategy (CMA-ES), and multilevel selection, through multilevel selection genetic algorithm (MLSGA). The framework shows a gap in epigenetic inheritance for evolutionary computation, despite being a key building block in modern interpretations of evolution. This leaves a diverse range of biologically inspired mechanisms as low hanging fruit that should be explored further within evolutionary computation and illustrates the potential of epigenetic based approaches through the recent benchmarks in the literature.