This paper challenges the common assumption that some phenotypic traits are quantitative while others are qualitative. The distinction between these two kinds of traits is widely influential in biological and biomedical research as well as in scientific education and communication. This is probably due to both historical and epistemological reasons. However, the quantitative/qualitative distinction involves a variety of simplifications on the genetic causes of phenotypic variability and on the development of complex traits. Here, I (...) examine three cases from the life sciences that show inconsistencies in the distinction: Mendelian traits, Mendelian diseases, and polygenic mental disorders. I show that these traits can be framed both quantitatively and qualitatively depending, for instance, on the methods through which they are investigated and on specific epistemic purposes. This suggests that the received view of quantitative and qualitative traits has a limited heuristic power—limited to some local contexts or to the specific methodologies adopted. Throughout the paper, I provide directions for framing phenotypes beyond the quantitative/qualitative distinction. I conclude by pointing at the necessity of developing a principled characterisation of what phenotypic traits, in general, are. (shrink)

How do common and rare genetic polymorphisms contribute to quantitative traits or disease risk and progression? Multiple human traits have been extensively characterized at the genomic level, revealing their complex genetic architecture. However, it is difficult to resolve the mechanisms by which specific variants contribute to a phenotype. Recently, analyses of variant effects on molecular traits have uncovered intermediate mechanisms that link sequence variation to phenotypic changes. Yet, these methods only capture a fraction of genetic (...) contributions to phenotype. Here, in reviewing the field, it is proposed that complex traits can be understood by characterizing the dynamics of biochemical networks within living cells, and that the effects of genetic variation can be captured on these networks by using protein–protein interaction (PPI) methodologies. This synergy between PPI methodologies and the genetics of complex traits opens new avenues to investigate the molecular etiology of human diseases and to facilitate their prevention or treatment. (shrink)

The development of improved methods for genome‐wide association studies (GWAS) for genetics of quantitative traits has been an active area of research during the last 25 years. This activity initially started with the use of mixed linear model (MLM), which was variously modified. During the last decade, however, with the availability of high throughput next generation sequencing (NGS) technology, development and use of pangenomes and novel markers including structural variations (SVs) and k‐mers for GWAS has taken over as (...) a new thrust area of research. Pangenomes and SVs are now available in humans, livestock, and a number of plant species, so that these resources along with k‐mers are being used in GWAS for exploring additional genetic variation that was hitherto not available for analysis. These developments have resulted in significant improvement in GWAS methodology for detection of marker‐trait associations (MTAs) that are relevant to human healthcare and crop improvement. (shrink)

The nomination of candidate genes underlying complex traits is often focused on genetic variations that alter mRNA abundance or result in non‐conservative changes in amino acids. Although inconspicuous in complex trait analysis, genetic variants that affect splicing or RNA editing can also generate proteomic diversity and impact genetic traits. Indeed, it is known that splicing and RNA editing modulate several traits in humans and model organisms. Using high‐throughput RNA sequencing (RNA‐seq) analysis, it is now possible (...) to integrate the genetics of transcript abundance, alternative splicing (AS) and editing with the analysis of complex traits. We recently demonstrated that both AS and mRNA editing are modulated by genetic and environmental factors, and potentially engender phenotypic diversity in a genetically segregating mouse population. Therefore, the analysis of splicing and RNA editing can expand not only the regulatory landscape of transcriptome and proteome complexity, but also the repertoire of candidate genes for complex traits. (shrink)

Complex vocal learning, the capacity to imitate new sounds, underpins the evolution of animal vocal cultures and song dialects and is a key prerequisite for human speech and song. Due to its relevance for the understanding of cultural evolution and the biology and evolution of language and music, the trait has gained much scholarly attention. However, while we have seen tremendous progress with respect to our understanding of its morphological, neurological and genetic aspects, its peculiar phylogenetic distribution has remained (...) elusive. Intriguingly, animals as distinct as hummingbirds and humpback whales share well-developed vocal learning capacity in common with humans, while this ability is quite limited in nonhuman primates. Yet, solving this ‘vocal learning conundrum’ may shed light on the constraints ancestral humans overcame to unleash their vocal capacities. To this end I consider major constraints and functions that have been proposed. I highlight an especially promising ecological constraint, namely the spatial dimensionality of the environment. Based on an informal comparative review, I suggest that complex vocal learning is associated with three-dimensional habitats such as air and water. I argue that this is consistent with recent theoretical advances—i.e., the coercion-avoidance and dimensionality hypotheses—and with the long-standing hypothesis that mate choice is a major driver of the evolution and origin of complex vocal learning. However, I stress that multiple functions may apply and that quantitative phylogenetic comparative methods should be employed to finally resolve the issue. (shrink)

The aim of this virtual special issue is to bring together philosophical and historical perspectives to address long-standing issues in the interpretation, utility, and impacts of quantitative genetics methods and findings. Methodological approaches and the underlying scientific understanding of genetics and heredity have transformed since the field's inception. These advances have brought with them new philosophical issues regarding the interpretation and understanding of quantitative genetic results. The contributions in this issue demonstrate that there is still work to be (...) done integrating old and new methodological and conceptual frameworks. In some cases, new results are interpreted using assumptions based on old concepts and methodologies that need to be explicitly recognised and updated. In other cases, new philosophical tools can be employed to synthesise historical quantitative genetics work with modern methodologies and findings. This introductory article surveys three general themes that have dominated philosophical discussion of quantitative genetics throughout history: (1) how methodologies have changed and transformed our knowledge and interpretations; (2) whether or not quantitative genetics can offer explanations relating to causation and prediction; and (3) the importance of defining the phenotypes under study. We situate the contributions in this virtual special issue within a historical framework addressing these three themes. (shrink)

Behaving presents an overview of the recent history and methodology of behavioral genetics and psychiatric genetics, informed by a philosophical perspective. Kenneth F. Schaffner addresses a wide range of issues, including genetic reductionism and determinism, "free will," and quantitative and molecular genetics. The latter covers newer genome-wide association studies that have produced a paradigm shift in the subject, and generated the problem of "missing heritability." Schaffner also presents cases involving pro and con arguments for genetic testing for IQ and (...) for Attention Deficit Hyperactivity Disorder. Schaffner examines the nature-nurture controversy and Developmental Systems Theory using C. elegans or "worm" studies as a test case, concluding that genes are special and provide powerful tools, including "deep homology," for investigating behavior. He offers a novel account of biological knowledge emphasizing the importance of models, mechanisms, pathways, and networks, which clarifies how partial reductions provide explanations of traits and disorders. The book also includes examinations of personality genetics and of schizophrenia and its etiology, alongside interviews with prominent researchers in the area, and discusses debates about psychosis that led to changes in the DSM-5 in 2013.Schaffner concludes by discussing additional philosophical implications of the genetic analyses in the book, some major worries about "free will," and arguments pro and con about why genes and DNA are so special. Though genes are special, newer perspectives presented in this book will be needed for progress in behavioral genetics- perspectives that situate genes in complex multilevel prototypic pathways and networks. With a mix of optimism and pessimism about the state of the field and the subject, Schaffner's book will be of interest to scholars in the history and philosophy of science, medicine, and psychiatry. (shrink)

Diseases of complex origin have a component of quantitative genetics that contributes to their susceptibility and phenotypic variability. However, after several studies, a major part of the genetic component of complex phenotypes has still not been found, a situation known as “missing heritability.” Although there have been many hypotheses put forward to explain the reasons for the missing heritability, its definitive causes remain unknown. Complex diseases are caused by multiple intermediate phenotypes involved in their pathogenesis and, (...) very often, each one of these intermediate phenotypes also has a component of quantitative inheritance. Here we propose that at least part of the missing heritability can be explained by the genetic component of intermediate phenotypes that is not detectable at the level of the main complex trait. At the same time, the identification of the genetic component of intermediate phenotypes provides an opportunity to identify part of the missing heritability of complex diseases. (shrink)

Although neither the genome nor the environment can be manipulated in research on human behaviour, some of the new tools of molecular genetics can be brought to bear on human behavioural disorders (e.g. cognitive disabilities) and quantitative traits (e.g. cognitive abilities). The inability to manipulate the human genome experimentally has had the positive effect of focusing attention on naturally occuring genetic variation responsible for behavioural differences among individuals in all their complex multifactorial splendour. Genes in such (...) class='Hi'>complex multiple‐gene systems are called quantitative trait loci (QTLs), which merge the two worlds of genetic research, quantitative genetics and molecular genetics. Although most genetic research on complex human behaviour has focused on severe mental disorders, cognitive abilities and disabilities may be even more immediately relevant to neuroscience. For example, verbal ability and spatial ability are two of the most heritable cognitive abilities, and reading disability is the first behavioural disability for which replicated QTL linkage has been found. The purpose of this essay is to provide an overview of the genetics of cognitive abilities and disabilities as an example of the impending merger of quantitative genetics and molecular genetics in QTL analysis of complex traits. (shrink)

Complex problem solving can be interpreted as the number of psychological mechanisms that allow us to reach our targets in difficult situations, that can be classified as complex, dynamic, non-transparent, interconnected, and multilayered, and also polytelic. The previous results demonstrated associations between the personality dimensions neuroticism, conscientiousness, and extraversion and problem-solving performance. However, there are no studies dealing with personality disorders in connection with CPS skills. Therefore, the current study examines a clinical sample consisting of people with personality (...) and/or depressive disorders. As we have data for all the potential personality disorders and also data from each patient regarding to potential depression, we meet the whole range from healthy to impaired for each personality disorder and for depression. We make use of a unique operationalization: CPS was surveyed in a simulation game, making use of the microworld approach. This study was designed to investigate the hypothesis that personality traits are related to CPS performance. Results show that schizotypal, histrionic, dependent, and depressive persons are less likely to successfully solve problems, while persons having the additional behavioral characteristics of resilience, action orientation, and motivation for creation are more likely to successfully solve complex problems. (shrink)

Motivation has been the subject of much research in the sport psychology literature, whereas athlete mental health has received limited attention. Motivational complexities in elite sport are somewhat reflected in the mental health literature, where there is evidence for both protective and risk factors for athletes. Notably, few studies have linked motivation to mental health. Therefore, the key objective of this study was to test four mental health outcomes in the motivational sequence posited by the Hierarchical Model of Intrinsic and (...) Extrinsic Motivation: motivational climate  basic psychological needs  motivation  mental health outcomes. Elite team-sport athletes (140 females, 75 males) completed seven psychometric inventories of motivation-related and mental health variables. Overall, the athletes reported positive motivational patterns, with autonomous motivation and task climate being more prevalent than their less adaptive counterparts. Elevated depressive symptoms and poor sleep quality affected nearly half of the cohort. Structural equation modelling supported pathways between motivational climate, basic needs, motivation, and mood, depressive symptoms, sleep quality, and trait anxiety. Specifically, a task climate was positively associated with the three basic psychological needs, and an ego climate was positively associated with competence. Autonomy and relatedness had positive and negative associations with autonomous and controlled forms of motivation, respectively. Controlled motivation regulations were positively associated with the four mental health outcomes. Integrated regulation had a negative association with anxiety, and intrinsic regulation had a positive association with depressive symptoms. These findings highlight the complexities of and interrelations between motivation and mental health among athletes, and support the importance of considering mental health as an outcome of motivation. (shrink)

Individual differences related to emotions are typically represented as emotion traits. Although important, these descriptive models often do not address the psychological dynamics that underlie the trait. Appraisal theories of emotion assume that individual differences in emotions can be traced to differences in patterns of appraisal, but this hypothesis has largely gone untested. The present research explored whether individual differences in the emotion of interest, known as trait curiosity, consist of patterns of appraisal. After completing several measures of trait (...) curiosity, participants read complex poems (Experiment 1) or viewed simple and complex pictures (Experiment 2) and then gave ratings of interest and interest's appraisal components. The effect of trait curiosity on interest was fully mediated by appraisals. Multilevel analyses suggested that curious people differ in the amount of appraisal rather than in the kinds of appraisals relevant to interest. Appraisal theories can offer a process-oriented explanation of emotion traits that bridges state and trait emotional experience. (shrink)

The field of psychology has emphasized quantitative laboratory research as a defining character of its role as a science, and has generally de-emphasized qualitative research and theorizing throughout its history. This article reviews some of the effects of this emphasis in two areas, intelligence testing, and learning and memory. On one side, quantitative measurement produced the widely used IQ test but shed little light on the construct of intelligence and its role in human cognition. On the other side, (...) reductive quantification and experimental constraints limited the investigation and understanding of human memory systems and complex learning throughout the first century of the field’s history. Recent research under fewer constraints has made greater progress in these areas. (shrink)

The way people make career choices is often influenced by their idea of work. Alongside this concept, there is the idea of decent work, which takes the form of the opportunity, for men and women, to have productive, equal, safe, and rights-based work. We have conducted a study on these two concepts with a group of Italian adolescents, using both quantitative and qualitative methods. We found that most of the participants consider work as a means to obtain economic benefits (...) and satisfy certain values, and decent work as characterized by the respect for rights and duties and economic benefits; a part of the participants fails in giving a definition of decent work or gives a negative definition of it. We deepened the study through quantitative analyses that revealed that those who have a more complex view of work and decent work also have higher levels of self-efficacy and career adaptability. These findings are discussed in the light of previous research and from a perspective that intends to give a contribution to career counseling practices. (shrink)

The present study examines the relationships between consumers'' ethical beliefs and personality traits. Based on a survey of 295 undergraduate business students, the authors found that individuals with high needs for autonomy, innovation, and aggression, as well as individuals with a high propensity for taking risks tend to have less ethical beliefs concerning possible consumer actions. Individuals with a high need for social desirability and individuals with a strong problem solving coping style tend to have more ethical beliefs concerning (...) possible consumer actions. The needs for achievement, affiliation, complexity and an emotion solving coping style were not significantly correlated with consumer ethical beliefs. (shrink)

The present pilot study investigates the relationships between scientific ignorance and several individual attitudes, personality traits and cultural behaviors. Starting from well-established practices and standards of psychometric analysis, our work has produced a complex cross-scalar survey of scientific competency between students attending an art and multimedia high school. Data are classified through six scales about self-esteem, scientific attitudes, paranormal beliefs, scientific competency, social desirability and personality traits. The results are considered in relation to three hypotheses: the correlation (...) between positive scientific attitude and lower paranormal beliefs plus higher scientific competencies; the scientific attitude is enhanced by cultural and scientific activities and negatively related to superstition; people who show specific personality traits have higher positive attitude and interest toward science, while other traits are more related to superstitious beliefs. The outcome of our poll confirms our hypotheses and shows additional traits correlations. (shrink)

Cultural and dual-inheritance models of evolution present ambiguities not typically present in biological evolution. Criteria and the ability to specify the adaptive value of a trait or cultural practice become less clear. When niche construction is added, additional challenges and ambiguities arise. Its dynamic nature increases the difficulty of identifying adaptations, tracing the causal path between a trait and its function, and identifying the links between environmental demands and the development of adaptations.

The encounter between the Darwinian theory of evolution and Mendelism could be resolved only when reductionist tools could be applied to the analysis of complex systems. The instrumental reductionist interpretation of the hereditary basis of continuously varying traits provided mathematical tools which eventually allowed the construction of the Modern Synthesis of the theory of evolution.When genotypic as well as environmental variance allow the isolation of parts of the system, it is possible to apply Mendelian reductionism, that is , (...) to treat the phenotypic trait as if ti causally determined by discrete genes for the trait. howeverm such a beanbag genetics approach obscures the system's eye-view. The concept of heritability, defined as the proportion of the total phenotypic variance due to (additive) hereditary variation, asserts that genetic elements have discrete effects; but by relating to the genotypic variance, it avoids the trap of reffering to genes for characters. (shrink)

Purpose: To explore the characteristics of the use of laughs and jokes during doctor-couple assisted reproductive technology visits.Methods: 75 videotaped doctor-couple ART visits were analyzed and transcribed in order to: quantify laugh and jokes, describing the contribution of doctors and couples and identifying the timing of appearance; explore the topic of laughs and jokes with qualitative thematic analysis.Results: On average, each visit contained 17.1 utterances of laughs and jokes. Patients contributed for 64.7% of utterances recorded. Doctor and women introduced the (...) majority of laughs and jokes. Visits with female physicians had significantly more laughs and jokes than visits with male doctors; no differences were found considering physicians’ age and years of experience, cause of infertility, and prognosis. Laughs and jokes were mainly recorded during history taking and information giving. Four core themes were identified, regarding the topic of laughs and jokes: health status, infertility treatment, organizational aspects, and doctor-patient interaction.Conclusion: Laughs and jokes are common in doctor-couple ART visits and are frequently used during the dialogue, covering a wide range of topics. Results seem to show that laughs and jokes are related to doctor’s personal characteristics, while are not associated with infertility aspects. Given the complexity of this communicative category, further studies are needed to explore the functions and the effects of laugh and jokes. (shrink)

In this article, we tried to reveal the relationship between personality traits and escape behavior in traffic accidents. Different from common computer simulations, this study, for the first time, established a real database recording the escape behavior and personality traits of subjects when watching a first-person-view driving video with explosion. Then, we used a modeling method of general linear to establish a quantitative model of the influence of personality traits, explosion, and their interaction on escape behavior. (...) In the model, we introduced escape response time, escape time, escape direction, escape speed, escape trajectory, and other motion characteristics to study individual escape behavior in accidents. Through the analysis, we concluded several conclusions, including that high neurotic individuals tend to escape with shorter response time and slower speed by choosing doors far from the explosion source. These conclusions may provide some references for the effective escape of the crowd and the successful escape of the individual under traffic accidents. (shrink)

Given that natural selection is so powerful at optimizing complex adaptations, why does it seem unable to eliminate genes (susceptibility alleles) that predispose to common, harmful, heritable mental disorders, such as schizophrenia or bipolar disorder? We assess three leading explanations for this apparent paradox from evolutionary genetic theory: (1) ancestral neutrality (susceptibility alleles were not harmful among ancestors), (2) balancing selection (susceptibility alleles sometimes increased fitness), and (3) polygenic mutation-selection balance (mental disorders reflect the inevitable mutational load on the (...) thousands of genes underlying human behavior). The first two explanations are commonly assumed in psychiatric genetics and Darwinian psychiatry, while mutation-selection has often been discounted. All three models can explain persistent genetic variance in some traits under some conditions, but the first two have serious problems in explaining human mental disorders. Ancestral neutrality fails to explain low mental disorder frequencies and requires implausibly small selection coefficients against mental disorders given the data on the reproductive costs and impairment of mental disorders. Balancing selection (including spatio-temporal variation in selection, heterozygote advantage, antagonistic pleiotropy, and frequency-dependent selection) tends to favor environmentally contingent adaptations (which would show no heritability) or high-frequency alleles (which psychiatric genetics would have already found). Only polygenic mutation-selection balance seems consistent with the data on mental disorder prevalence rates, fitness costs, the likely rarity of susceptibility alleles, and the increased risks of mental disorders with brain trauma, inbreeding, and paternal age. This evolutionary genetic framework for mental disorders has wide-ranging implications for psychology, psychiatry, behavior genetics, molecular genetics, and evolutionary approaches to studying human behavior. (Published Online November 9 2006) Key Words: adaptation; behavior genetics; Darwinian psychiatry; evolution; evolutionary genetics; evolutionary psychology; mental disorders; mutation-selection balance; psychiatric genetics; quantitative trait loci (QTL). (shrink)

Complex‐trait genetics has advanced dramatically through methods to estimate the heritability tagged by SNPs, both genome‐wide and in genomic regions of interest such as those defined by functional annotations. The models underlying many of these analyses are inadequate, and consequently many SNP‐heritability results published to date are inaccurate. Here, we review the modelling issues, both for analyses based on individual genotype data and association test statistics, highlighting the role of a low‐dimensional model for the heritability of each SNP. We (...) use state‐of‐art models to present updated results about how heritability is distributed with respect to functional annotations in the human genome, and how it varies with allele frequency, which can reflect purifying selection. Our results give finer detail to the picture that has emerged in recent years of complex trait heritability widely dispersed across the genome. Confounding due to population structure remains a problem that summary statistic analyses cannot reliably overcome. Also see the video abstract here: https://youtu.be/WC2u03V65MQ. (shrink)

Previous research into human traits has reached impressive consensus regarding at least some traits, but recent evidence suggests these to be genetically heterogeneous. This is problematic for theories of the neurobiology of human traits. Future research should more closely integrate genetic, behavioral, and psychometric research to arrive at biologically validated measurement instruments, which may be better used to understand the mediating role of these traits in the association between genetic variants and complex behaviors.

The commentaries on our target article address three main areas: (1) the relative importance of extraversion and other related traits to DA functioning, (2) how the long-term stability of extraversion can be conceptualized within a highly plastic central nervous system, and (3) the nature of DA functioning in the MOC network and in extraversion. We have organized our Response, therefore, into three major sections.

This research paper explores the implications of emotional intelligence and the Big Five personality model on virtual team effectiveness. It illustrates how emotional intelligence and Big Five personality traits help team members better understand interpersonal relationships and develop constructive virtual teams. The widespread use of virtual team meetings for collaborative work over in-person interaction with diverse personalities creates discord and trust among team members, limiting overall productivity. A quantitative analysis approach is used, with hypotheses tested and a series (...) of multiple linear regression analyses performed on data collected from relevant industries using convenient sampling. The findings show that the Big Five personality affects the virtual team's trust and collaboration parameters. However, the relationship between personality traits and team effectiveness is mediated by emotional intelligence. Also, it is explored that having control over emotional intelligence or developing emotional intelligence would improve team performance while managing and working with a diverse group of people. (shrink)

With the explosion of interest in virtue and virtue ethics, one set of issues that has been comparatively neglected is how to categorize moral character traits. This paper distinguishes three approaches—what I call the Stoic, personality psychology, and Aristotelian—and critically assesses each of them. The Stoic approaches denies that virtues come in degrees. There is perfect virtue or nothing at all. The personality psychology approach denies that virtues have thresholds. So everyone has all the virtues to some degree or (...) other. The Aristotelian approach accepts both degrees and thresholds. So some people might not have the virtues, and if they do, they might have them to various degrees. In addition, each of these positions takes a different stand on how to understand the vices as well. Using the virtue of honesty as the central example, the paper ends up favoring the Aristotelian approach but notes some of the complexities involved in adopting it. (shrink)

Integrated information theory (IIT) is a candidate theory of consciousness that highlights the role of complex interactions between parts of a system as the basis of consciousness – and, due to its general information-theoretic formulation, is capable of making statements about consciousness in neural and non-neural systems alike. Here, we argue that a system radically different to a human brain, host to complex physiological and functional structures capable of integrating information, can be found in the meristems and vascular (...) system of higher plants. Following a pragmatic and ontologically innocent approach, neither taking for granted that plants are conscious nor dismissing the possibility that they are, we argue that the time is ripe to apply analysis tools inspired by IIT to plants, taking advantage of recent developments in both plant imaging and information theory. We introduce and discuss the relevant literature, and pro information and integration in plant behaviour, assessing the plausibility of plant sentience. If successful, these experiments could position plants as the next frontier in consciousness science, and urge us to rethink our perspectives on consciousness, how to measure it, and its prevalence amongst living beings. (shrink)

In this article, we revisit the longstanding debate of whether there is a pattern in the evolution of organisms towards greater complexity, and how this hypothesis could be tested using an interdisciplinary lens. We argue that this debate remains alive today due to the lack of a quantitative measure of complexity that is related to the teleonomic (i.e., goal-directed) nature of living systems. Further, we argue that such a biological measure of complexity can indeed be found in the vast (...) literature produced within life history theory. We propose that an ideal method to quantify this complexity lies within life history strategies (i.e., schedules of survival and reproduction across an organism’s life cycle), as it is precisely these strategies that are under selection to optimize the organism’s fitness. In this context, we set an agenda for future steps: (1) how this complexity can be measured mathematically, and (2) how we can engage in a comparative analysis of this complexity across species to investigate the evolutionary forces driving increases or, for that matter, decreases in teleonomic complexity. (shrink)

This paper makes a quantitative analysis of the comprehensive influence of music networks. Firstly, 11 music features are selected from energy, popularity, and other aspects to build a comprehensive evaluation index of music influence, and the PageRank algorithm is used to quantify the music influence. Secondly, the multiobjective logistic regression is used to construct the music similarity measurement model and, combined with music influence and music similarity, to judge whether the influence of different musicians is the actual influence. Thirdly, (...) the influence and similarity of the same music genre and different music genres are analyzed by using the two-way cluster analysis method. Finally, the lasso region is used for feature selection to obtain the change factors in the process of music evolution and analyze the dynamic changes in the process of music development. Therefore, this paper uses network science to build a dynamic network to analyze the similarity of music, the evolution process, and the impact of music on culture, which has certain research significance and practical value in the fields of music, history, social science, and practice. (shrink)

One of the central but yet unresolved problems in evolutionary biology concerns the origin of novel complex traits. One hypothesis is that complex traits derive from pre‐existing gene regulatory networks (GRNs) reused and modified to specify a novel trait somewhere else in the body. This simple explanation encounters problems when the novel trait that emerges in a body is in a region that is known to harbor a latent or repressed trait that has been silent for (...) millions of years. Is the novel trait merely a re‐emerged de‐repressed trait or a truly novel trait that emerged via a novel deployment of an old GRN? A couple of new studies sided on opposite sides of this question when investigating the origin of horns in dung beetles and helmets in treehoppers that develop in the first thoracic segment (T1) of their bodies, a segment known to harbor a pair of repressed/modified wings in close relatives. Here, I point to some key limitations of the experimental approaches used and highlight additional experiments that could be done in future to resolve the developmental origin of these and other traits. (shrink)

Examining homology in biological and cultural evolution is of great importance in investigations of humanity. The proposal presented in the target article retains substantial methodological weaknesses in the identification and use of “cultural traits.” However, with refined toolkits and the incorporation of recent advances in evolutionary theory, this overall endeavor can result in substantial payoffs for biological and social scientists.

In this article, the co-editors of the corporate responsibility: quantitative issues section of the journal provide an overview of the quantitative CSR field and offer some new perspectives on where the field is going. They highlight key issues in developing impactful, theory-driven, and ethically grounded research and call for research that examines complex problems facing businesses and the society (e.g., big data and artificial intelligence, political polarization, and the role of CSR in generating social impact). By examining (...) topics that are under-researched, forward-looking, and socially oriented, scholars can expand the boundary of CSR’s substantive domain and produce research that helps businesses act in a long-term, socially responsible way in this quickly evolving, turbulent environment. They also discuss ways to enhance the methodological rigor of quantitative CSR research and encourage scholars to employ cutting-edge, innovative methods to shed light on the micro-level mechanisms of CSR and reveal patterns and relationships hidden in unstructured big data. (shrink)

This is a comprehensive discussion of complexity as it arises in physical, chemical, and biological systems, as well as in mathematical models of nature. Common features of these apparently unrelated fields are emphasised and incorporated into a uniform mathematical description, with the support of a large number of detailed examples and illustrations. The quantitative study of complexity is a rapidly developing subject with special impact in the fields of physics, mathematics, information science, and biology. Because of the variety of (...) the approaches, no comprehensive discussion has previously been attempted. This book will be of interest to graduate students and researchers in physics (nonlinear dynamics, fluid dynamics, solid-state, cellular automata, stochastic processes, statistical mechanics and thermodynamics), mathematics (dynamical systems, ergodic and probability theory), information and computer science (coding, information theory and algorithmic complexity), electrical engineering and theoretical biology. (shrink)

Quantitative genetics (QG) analyses variation in traits of humans, other animals, or plants in ways that take account of the genealogical relatedness of the individuals whose traits are observed. “Classical” QG, where the analysis of variation does not involve data on measurable genetic or environmental entities or factors, is reformulated in this article using models that are free of hypothetical, idealized versions of such factors, while still allowing for defined degrees of relatedness among kinds of individuals or (...) “varieties.” The gene - free formulation encompasses situations encountered in human QG as well as in agricultural QG. This formulation is used to describe three standard assumptions involved in classical QG and provide plausible alternatives. Several concerns about the partitioning of trait variation into components and its interpretation, most of which have a long history of debate, are discussed in light of the gene-free formulation and alternative assumptions. That discussion is at a theoretical level, not dependent on empirical data in any particular situation. Additional lines of work to put the gene-free formulation and alternative assumptions into practice and to assess their empirical consequences are noted, but lie beyond the scope of this article. The three standard QG assumptions examined are: (1) partitioning of trait variation into components requires models of hypothetical, idealized genes with simple Mendelian inheritance and direct contributions to the trait; (2) all other things being equal, similarity in traits for relatives is proportional to the fraction shared by the relatives of all the genes that vary in the population (e.g., fraternal or dizygotic twins share half of the variable genes that identical or monozygotic twins share); (3) in analyses of human data, genotype-environment interaction variance (in the classical QG sense) can be discounted. The concerns about the partitioning of trait variation discussed include: the distinction between traits and underlying measurable factors; the possible heterogeneity in factors underlying the development of a trait; the kinds of data needed to estimate key empirical parameters; and interpretations based on contributions of hypothetical genes; as well as, in human studies, the labeling of residual variance as a non-shared environmental effect; and the importance of estimating interaction variance. (shrink)

The research aim was to find out whether the personality trait that using the big five personality factors were significantly and positively correlated with attitude toward performance appraisal system. Method for this research is quantitative and non experimental with correlation research design. A hundred ten (110) TransJakarta bus drivers who have worked minimum for a year, completed the big five scale NEO PI-R and the attitude toward performance appraisal system scale. Among the big five personality facet level, two aspects (...) of openness, aesthetics rs(110) = .22 and ideas rs(110) = .19 were positively related to attitude toward performance appraisal system. Within the conscientiousness dimension, dutifulness rs(110) = .22 and achievement striving rs(110) = .21 were significantly and positively correlated with attitude toward performance appraisal system. Within the extraversion dimension excitement seeking rs(110) .21 and positive emotion rs(110) = .23 were significantly and positively correlated with attitude toward performance appraisal system Finally, these result is recommended to be used in TransJakarta bus drive recruitment process, so that the management would get the best drivers whose performance match to the company expected. Furthermore the service to the society could increase and become a model for another public transportation company.  . (shrink)

Cancer is a complex disease, necessitating research on many different levels; at the subcellular level to identify genes, proteins and signaling pathways associated with the disease; at the cellular level to identify, for example, cell-cell adhesion and communication mechanisms; at the tissue level to investigate disruption of homeostasis and interaction with the tissue of origin or settlement of metastasis; and finally at the systems level to explore its global impact, e.g. through the mechanism of cachexia. Mathematical models have been (...) proposed to identify key mechanisms that underlie dynamics and events at every scale of interest, and increasing effort is now being paid to multi-scale models that bridge the different scales. With more biological data becoming available and with increased interdisciplinary efforts, theoretical models are rendering suitable tools to predict the origin and course of the disease. The ultimate aims of cancer models, however, are to enlighten our concept of the carcinogenesis process and to assist in the designing of treatment protocols that can reduce mortality and improve patient quality of life. Conventional treatment of cancer is surgery combined with radiotherapy or chemotherapy for localized tumors or systemic treatment of advanced cancers, respectively. Although radiation is widely used as treatment, most scheduling is based on empirical knowledge and less on the predictions of sophisticated growth dynamical models of treatment response. Part of the failure to translate modeling research to the clinic may stem from language barriers, exacerbated by often esoteric model renderings with inaccessible parameterization. Here we discuss some ideas for combining tractable dynamical tumor growth models with radiation response models using biologically accessible parameters to provide a more intuitive and exploitable framework for understanding the complexity of radiotherapy treatment and failure. (shrink)

In order to address why the number of patients suffering from anxiety and depression are seemingly exploding in Western, educated, industrialized, rich, and democratic (WEIRD) countries, it is sensible to look at the evolution of human fearfulness responses. Here, we draw on Veit's pathological complexity framework to advance Grossmann's goal of re-characterizing human fearfulness as an adaptive trait.

Seven problems that occur in attempts to measure complexity are pointed out as they occur in four proposed measurement techniques. Each example method is an improvement over the previous examples. It turns out, however, that none are up to the challenge of complexity. Apparently, there is no currently available method that truly gets the measure of complexity. There are two reasons. First, the most natural approach, quantitative analysis, is rendered inadequate by the very nature of complexity. Second, the intrinsic (...) magnitude of complexity is still holding at bay attempts to use both quantitative and qualitative methods combined. Further progress in complexity science and in systems science is required. Any method that simplifies will fail because it ignores what complexity is. Techniques of understanding that do not simplify, but rather provide ways for the mind to grasp and work with complexity are more effective in getting its measure. (shrink)

The consensus among cultural evolutionists seems to be that human cultural evolution is cumulative, which is commonly understood in the specific sense that cultural traits, especially technological traits, increase in complexity over generations. Here we argue that there is insufficient credible evidence in favor of or against this technological complexity thesis. For one thing, the few datasets that are available hardly constitute a representative sample. For another, they substantiate very specific, and usually different versions of the complexity thesis (...) or, even worse, do not point to complexity increases. We highlight the problems our findings raise for current work in cultural-evolutionary theory, and present various suggestions for future research. (shrink)

The author assumes that the biological evolution must reflect itself also in the energetic processes of the organism. Several concept are discussed, in view of a characterization of the energetic economy of the organism. Two of these are thought to have particular significance related to evolution: the energetic efficiency and the capacity for energetic production . E is the ratio of the performed useful work to the amount of energy “spent”; P is the ratio of the performed useful work to (...) the product of the mass of the living system and time. An evolution of both E and P during the animal phylogenesis is assumed. The evolution of E is generally evident at the level of more elementary metabolic processes, while that of P at the level of more complex functions or of the organism as a whole. In many cases, the increase of P is associated with a decrease of E. The main evolutionary feature of biological energetic economy is the increase of the capacity for energetic production. This holds true even if the increase of P can be achieved only at the expense of a reduction of the energetic efficiency, of a “waste” of energy, especially in the most highly developed systems of the organism.L'évolution biologique doit se refléter, selon l'avis de l'auteur, aussi dans les processus énergétiques de l'organisme. On discute quelques notions qui pourraient caractériser l'économie énergétique de celui-ci. Deux de celles-ci ont une signification évolutive particulière: le rendement énergétique et la capacité de production énergétique . E est le rapport du travail util effectué à la quantité d'énergie “dépensée”; P est le rapport du travail util effectué au produit de la masse du système vivant avec de le temps. L'auteur considère qu'il y a une évolution des deux grandeurs au cours de la phylogénèse animale. L'évolution d'E se manifeste spécialement au niveau des processus métaboliques élémentaires, tandis que celle de P au niveau des fonctions plus complexes ou de l'organisme entier. Dans beaucoup de cas, l'accroissement de P entraîne une diminution de E. Le trait évolutif principal de l'énergétique biologique c'est l'accroissement de la capacité de production énergétique, même si cela suppose une réduction du rendement, une “dissipation” d'énergie, surtout dans les systèmes les plus développés de l'organisme.Die biologische Evolution soll sich, nach dem Erachten des Verfassers, auch in den energetischen Vorgange des Organismus kundtun. Es werden einige Begriffe erörtert, welche den Energiehaushalt des Organismus kennzeichnen können. Zwei von diesen Begriffen haben eine besondere entwicklungsgeschichtliche Bedeutung: die energetische Leistung und das Vermögen zur Energieproduktion . E ist das Verhältnis der geleisteten nützlichen Arbeit zur verbrauchten Energiemenge; P ist das Verhältnis der nützlichen Arbeit zum Produkt von Masse des lebenden Systems und Zeit. Der Verfasser ist der Meinung, dass es eine Evolution von E und P während der tierischen Phylogenesis gäbe. Die Evolution von E äussert sich meist in der Ebene der elementaren metabolischen Vorgänge, hingegen die von P an komplexeren Funktionen. In zahlreichen Fällen, vermindert E während P wächst. Die evolutive Grundzug der biologischen Energetik ist das Anwachsen der Fähigkeit zur Energieproduktion, sogar wenn dieses nur auf Kosten einer Verminderung der energetischen Leistung, einer „Vergeudung“ der Energie verwirklichen kann. (shrink)

This paper provides an in-depth study and analysis of the quantitative relationship between ASEAN industry transfer and nuclear trade restructuring through the multiregional computable general equilibrium model and categorizes the ten major projects and 57 subprojects covered by the ASEAN Information Port project investment into construction, information technology, and telecommunications, according to the key directions of investment. We design and simulate the changes in production activities, trade activities, and the balance of payments behaviour of the national economy affected by (...) the project’s investment under 10 types of investment amount scenarios and prepare the corresponding social accounting matrix. Increased trade openness increases external risks and instability of the economy and fiscal revenues. At the same time, it creates other potential problems for the country such as environmental pollution and leading to unfair competition. Under free trade conditions, some manufacturers may choose to produce inputs that are not environmentally friendly to reduce costs, thereby harming the environment. For infant industries, if the government does not provide them with short-term protection or supportive policies, these new or developing infant industries may not have strong international competitiveness and may be vulnerable to the attacks of mature industries in the world. Therefore, based on the study of the influence of tax policy on trade openness, this paper examines the impact of changes in trade openness on a country’s economic environment and takes tax revenue as an example to conduct an empirical analysis and improve the factors that need to be considered when adjusting tax policy. (shrink)

Dans notre étude, nous poursuivons les analyses portant sur la classe des adverbes roumains que nous avons menées déjà depuis longtemps, en nous proposant de relever des aspects particuliers ayant trait à cette partie de discours. L’intérêt envers le roumain se justifie par le fait que cet idiome s’est avéré à maintes reprises très conservateur par rapport au latin, à cause de son isolement du continuum roman. Essentiellement, il s’agit de nuancer et de souligner certains aspects méconnus, liés aux ainsi-dénommés (...) adverbes-adjectifs roumains. À l’appui de notre investigation, nous exploitons un corpus formé de textes datant du XVIe siècle (Corpus CAR.XVI) qui sont largement valorisés en grammaire diachronique roumaine et, récemment, en linguistique romane.Le type d’adverbes mentionné ne caractérise pas seulement le roumain car il est aussi attesté sporadiquement dans les autres langues romanes et généralement dans quelques dialectes du complexe linguistique italo-roman.L’interprétation des faits de langue sera faite en prenant en compte plusieurs perspectives, en particulier les perspectives étymologique, quantitative et fonctionnelle, ce qui assure une meilleure compréhension et facilite une analyse appropriée, complexe et quasi-complète, à la fois. (shrink)

This scholarly article delves into the multifaceted nature of political leadership, examining its inherent traits, prevalent styles, and its profound impact on governance structures. Drawing upon various theoretical frameworks and empirical evidence, the study underscores the pivotal role of leadership in shaping political landscapes, policy outcomes, and public perceptions. By analyzing the interplay between individual attributes and collective governance, this research offers insights into the complexities of leadership dynamics in contemporary political arenas.

This article considers what happened to American anthropology, which was initiated by the scientist Franz Boas, who commanded all fields of anthropology,physical, biological, and cultural. Boas was a brave field worker who explored Eskimo land, and inspired two famous students, Ruth Benedict and Margaret Mead, to cross borders in new kinds of studies. After this florescence, there was a general return to linear descriptive positivism, superficial comparisons of quantitative cultural traits, and false evolutionary schemes, which did not introduce (...) us to the personalities and inner worlds of the tribal peoples studied. The 1953 study by the philosopher David Bidney was a revelation. Bidney enunciated and clarified all my doubts about the paths of anthropology and his work became to some extent a model for a narration of the story of American anthropology. In many ways he envisaged a semiotics of culture formulated by Lotman. I try to illustrate the fallacies listed by Bidney and how they have been partially overcome in some later anthropological studies which have focused on symbolism, artistry, and subjective qualities of the people studied. I then try to give an overview of the school started by Lotman that spans all human behavior, that demonstrates the complexity of meaning and communication, in vast areas of knowledge, from art, literature, science, and philosophy, that abjured strict relativism and closed systems and has become an inspiration for those who want anthropology to encompass the self and the other, and Bahtin’s double meaning. This paper was inspired by Bidney as a call to explore widely all possible worlds, not to abandon science and reality but to explore deeper inner interrelations and how the aesthetic may be indeed be paramount in the complexities of communication. (shrink)

Since the transition to democracy in the early 1990s, economic research and instruction in South Africa have become far more quantitative and technically sophisticated. In this paper, I trace and discuss reasons for these developments, and I argue that this quantification of economics should not be at the expense of exchanges with qualitative data that fail the criterion of being representative, or with other disciplines that are less quantitative. With South Africa’s complex history, persistent inequality and considerable (...) cultural diversity, economics has much to gain from interdisciplinary collaboration and mixed methods research. (shrink)

This paper is about evolutionary explanations. They come in different kinds but mostly need traits and functions. Evolutionary theory requires traits to be inheritable although not in a strong genetic sense: ideas of “inheritance pattern” and “inheritable pattern” are explored. Function is also a necessary concept, but complex and diverse, and it lacks causal power on traits. The debate on the evolution of morality is cautious and already far from naive “just-­‐so story” explanations, but theoretical analysis (...) fleshed into morality-­‐related examples can aid towards the development of critically conscious and up-­‐to-­‐date explanatory hypotheses in this field. (shrink)

Impaired neurodevelopmental outcome, in particular cognitive impairment, after neonatal hypoxic-ischemic encephalopathy is a major concern for parents, clinicians, and society. This study aims to investigate the potential benefits of using advanced quantitative electroencephalography analysis for early prediction of cognitive outcomes, assessed here at 2 years of age. EEG data were recorded within the first week after birth from a cohort of twenty infants with neonatal hypoxic-ischemic encephalopathy. A proposed regression framework was based on two different sets of features, namely (...) graph-theoretical features derived from the weighted phase-lag index and entropies metrics represented by sample entropy, permutation entropy, and spectral entropy. Both sets of features were calculated within the noise-assisted multivariate empirical mode decomposition domain. Correlation analysis showed a significant association in the delta band between the proposed features, graph attributes and entropy features from the neonatal EEG data and the cognitive development at age two years. These features were used to train and test the tree ensemble regression models. The highest prediction performance was reached to 14.27 root mean square error, 12.07 mean absolute error, and 0.45 R-squared using the entropy features with a boosted tree regression model. Thus, the results demonstrate that the proposed qEEG features show the state of brain function at an early stage; hence, they could serve as predictive biomarkers of later cognitive impairment, which could facilitate identifying those who might benefit from early targeted intervention. (shrink)