Emerging Genetic and Epigenetic Mechanisms Underlying Pubertal Maturation in Adolescence

The adolescent transition begins with the onset of puberty which, upstream in the brain, is initiated by the gonadotropin‐releasing hormone (GnRH) pulse generator that activates the release of peripheral sex hormones. Substantial research in human and animal models has revealed a myriad of cellular networks and heritable genes that control the GnRH pulse generator allowing the individual to begin the process of reproductive competence and sexual maturation. Here, we review the latest knowledge in neuroendocrine pubertal research with emphasis on genetic and epigenetic mechanisms underlying the pubertal transition.     

Downsizing for downtown: limb lengths,toe lengths,and scale counts decrease with urbanization in western fence lizards (Sceloporus occidentalis)

Urban Ecosystems - Urbanization-induced habitat loss and alteration causes significant challenges for the survival of many species. Identifying how species respond to urbanization can yield...     

Changing Indigeneity Politics in Indonesia: From Revival to Projects

Through the discourse of indigeneity, rural communities around the world are joining a global network of rural justice seekers. By articulating grievances collectively, they demand state recognition while seeking support from NGOs and international development organisations. In Indonesia, the manifestation of indigenous ‘adat’ politics is no longer confined to the national struggle for the recognition of land rights, but instead, has proliferated into many localised short term ‘adat projects’. This introduction to the TAPJA special issue on adat demonstrates that both the rural poor and local elites can be the initiators or recipients of these adat projects but, at the current juncture, the latter are better positioned to benefit from such projects. The special issue shows that in Indonesia, where adat is often firmly entrenched in the state, the promotion of indigeneity claims can work in contradictory ways. Findings from across the special issue show that adat projects tend to reinforce the power of the state, rather than challenging it.     

Responsibility,planning and risk management: moralizing everyday finance through financial education

The individualization, privatization and marketization of risk management represent a fundamental dimension of the financialization of everyday life. As individuals are required to engage with financial products and services as the main way of protecting themselves from risks and uncertainties, their economic welfare and security are construed as depending largely on their own financial decisions. Within this setting, the concept of financial literacy and accompanying practices of financial education have emerged as a prominent institutional field handling the formulation and communication of the attributes and dispositions that arguably constitute the proper financial actor. This article analyzes financial education programmes currently conducted by state agencies in Israel, examining the notions and principles they articulate when defining and explaining proper financial conduct. The study indicates that moral themes and categories occupy a salient place in the formulation of the character traits that constitute the desired literate financial actor. Notions of individual responsibility, planning ahead and rational risk management are presented not merely as instrumental resources, but as moral imperatives. Through these notions, the programmes moralize a broad array of everyday practices of personal finance such as saving, investing, borrowing and budget management, thereby connecting the sphere of financial matters to the domain of moral virtues. Offering a representation of particular modes of financial conduct as constitutive components of morally virtuous personhood, these practices imbue the financial field as a whole, especially its current generalized logic of individualized and marketized risk management, with moral meanings, hence contributing to the normalization and depoliticization of the financialization of everyday life.     

Value Chain Development and the Agrarian Question: Actor Perspectives on Native Potato Production in the Highlands of Peru

Value chain development seeks to integrate smallholder farmers into competitive markets to promote economic and social development. This article, conceptually based on the agrarian question, considers how the perspectives of various value chain actors, with particular focus on smallholders, have important implications for the outcomes of these market‐oriented initiatives. Utilizing Long’s concept of social interface, we present a mixed‐methods case study that analyzes how smallholders, an NGO, and agrifood corporations, including PepsiCo, partnered to establish value chains for native potatoes in the Peruvian highlands. We find that a thorough understanding of the various perspectives held by value chain actors provides important insight into why value chain initiatives have divergent trajectories. Based on the findings, we conclude that accounting for how actors are responding to development initiatives and one another helps explain development outcomes and that therefore the agrarian question remains relevant in current agricultural development discourse and practice.     

Three Recommendations for Improving the Use of p-Values

ABSTRACT

Researchers commonly use p-values to answer the question: How strongly does the evidence favor the alternative hypothesis relative to the null hypothesis? p-Values themselves do not directly answer this question and are often misinterpreted in ways that lead to overstating the evidence against the null hypothesis. Even in the “post p?<?0.05 era,” however, it is quite possible that p-values will continue to be widely reported and used to assess the strength of evidence (if for no other reason than the widespread availability and use of statistical software that routinely produces p-values and thereby implicitly advocates for their use). If so, the potential for misinterpretation will persist. In this article, we recommend three practices that would help researchers more accurately interpret p-values. Each of the three recommended practices involves interpreting p-values in light of their corresponding “Bayes factor bound,” which is the largest odds in favor of the alternative hypothesis relative to the null hypothesis that is consistent with the observed data. The Bayes factor bound generally indicates that a given p-value provides weaker evidence against the null hypothesis than typically assumed. We therefore believe that our recommendations can guard against some of the most harmful p-value misinterpretations. In research communities that are deeply attached to reliance on “p?<?0.05,” our recommendations will serve as initial steps away from this attachment. We emphasize that our recommendations are intended merely as initial, temporary steps and that many further steps will need to be taken to reach the ultimate destination: a holistic interpretation of statistical evidence that fully conforms to the principles laid out in the ASA statement on statistical significance and p-values.     

Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression

While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address data dispersion along with excess zeros. This work develops a zero-inflated sum-of-Conway-Maxwell-Poissons (ZISCMP) regression as a flexible analysis tool to model count data that express significant data dispersion and contain excess zeros. This class of models contains several special case zero-inflated regressions, including zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), zero-inflated binomial (ZIB), and the zero-inflated Conway-Maxwell-Poisson (ZICMP). Through simulated and real data examples, we demonstrate class flexibility and usefulness. We further utilize it to analyze shark species data from Australia's Great Barrier Reef to assess the environmental impact of human action on the number of various species of sharks.     

Quantile regression for large-scale data via sparse exponential transform method

In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression with large-scale data reliably and efficiently. To this end, we propose a new algorithm to implement quantile regression on large-scale data using the sparse exponential transform (SET) method. This algorithm mainly constructs a well-conditioned basis and a sampling matrix to reduce the number of observations. It then solves a quantile regression problem on this reduced matrix and obtains an approximate solution. Through simulation studies and empirical analysis of a 5% sample of the US 2000 Census data, we demonstrate efficiency of the SET-based algorithm. Numerical results indicate that our new algorithm is effective in terms of computation time and performs well for large-scale quantile regression.     

Participation in Everyday Life Before and After a Housing Adaptation

Housing adaptation aims to enable clients to live independently in their own homes. Studies focusing on participation in everyday life following a housing adaptation are lacking and needed. This study aimed to explore housing adaptation clients' experiences of participation in everyday life before and after a housing adaptation, through the lens of a housing adaptation, using a qualitative follow-up design, with 11 participants. It was found that when the housing adaptation met the participants' needs, performance of activities improved and the housing adaptation opened doors to engagement and participation in everyday life. Thus, focus on performance and engagement in everyday life at the onset of the housing adaptation process, combined with regular follow-ups, may enhance participation.     

Que faut‐il voir dans les écarts de rémunération entre les travailleurs immigrés des pays du Golfe: l'effet d'a priori patronaux ou la simple conséquence de coûts d'opportunité différents?

Les auteurs s'intéressent aux disparités salariales entre les différents groupes de migrants qualifiés qui travaillent en grand nombre pour le secteur privé dans les États du Conseil de coopération du Golfe. Ils se demandent notamment si la prime salariale des Occidentaux (par rapport aux travailleurs venus d'Asie ou d'autres États arabes) découle d'éventuels a priori des employeurs. L'analyse, qui repose sur des données de 2012–2014 et sur deux méthodes de décomposition classiques, infirme l'hypothèse: les caractéristiques observables relatives à la productivité expliquent entre un tiers et trois quarts des écarts; le coût d'opportunité de la migration, supérieur pour les Occidentaux, explique la portion restante.