Geoadditive modeling for extreme rainfall data

Extreme value models and techniques are widely applied in environmental studies to define protection systems against the effects of extreme levels of environmental processes. Regarding the matter related to the climate science, a certain importance is covered by the implication of changes in the hydrological cycle. Among all hydrologic processes, rainfall is a very important variable as it is strongly related to flood risk assessment and mitigation, as well as to water resources availability and drought identification. We implement here a geoadditive model for extremes assuming that the observations follow a generalized extreme value distribution with spatially dependent location. The analyzed territory is the catchment area of the Arno River in Tuscany in Central Italy.     

Theorizing postfeminist communities: How gender‐inclusive meetups address gender inequity in high‐tech industries

Through a qualitative analysis of gender‐inclusive meetup groups in the US technology sector, this article offers a theory of postfeminist communities to identify how community organizing can take a postfeminist turn. Gender‐inclusive meetups are public, often free groups or organizations where participants have access to training, mentorship and support. Groups import postfeminist values of choice, empowerment, individualism and entrepreneurship into their community organizing efforts to address workplace gender inequities. Groups employ three strategies to improve the status of women and non‐binary people in the tech industry: (i) organizing a supportive community rooted in professionalism and entrepreneurialism; (ii) offering skills development in a safe environment; and (iii) training participants on how to take individual action against discrimination. While postfeminist communities are able to successfully cultivate supportive groups of participants who organize outside of the workplace, strategies focused on individual‐level changes ultimately do little to disrupt organization‐level gender inequities.     

So Close,So Far. The Cultural Distance of Foreigners in Italy

Social Indicators Research - The presence of foreigners in a host country is a contentious issue: opponents claim, among other things, that the cultural distance between them and natives is too...     

Quality of Life in Europe: Objective and Subjective Indicators A Spatial Analysis Using Classification Techniques

Social Indicators Research -     

Dissonant Discourses in Institutional Communications on Sexual Violence

ABSTRACT

This article is a discourse analysis of a large Northwestern research university’s official communications regarding sexual violence for a 15-month time frame. Through close reading of these communications, we found that concurrent with high levels of criticism in the spring of 2014 over the university’s handling of a high-profile rape case, the university advanced dissonant discourses of risk and responsibility in its communications regarding sexual violence. At both the institutional and individual levels, these dissonant discourses work to construct who is at risk of committing or experiencing sexual violence, and who is responsible for preventing and responding to it. In conclusion, we discuss possible implications for these dissonant discourses on the future of campus sexual violence prevention and university response.     

罗马银行法探析——兼论商法起源问题

现在人们普遍认为商法产生于中世纪商人法,罗马法中无商法.该观点源自对商法范畴在历史语境下具体分析的阙如,其论据主要为罗马法律词汇中没有表示商法部门及区别于一般私法制度的概念和术语.通过分析原始文献可以发现这些论据是不成立的.裁判官为了因应罗马国家的扩张,在告示和相关司法活动中创造出一系列专门规制此等特殊法律关系的规范,昭示了实质意义上的商法的诞生,银行法为其重要组成部分.银行业活动在公元前4世纪便已在罗马出现,在商业化时代获得重大发展.为规范这些具有特殊性的活动,罗马法学在司法管辖、组织机构、账簿出示、抵销等具体制度中回应了实践的要求.在从商业化时代向优士丁尼时期的转变过程中,银行业经历了衰落与复兴,并在相关法律规范中映射了这一过程.     

A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression

ABSTRACT

The purpose of this article is to explain how to conduct a multinomial logistic regression (MLR) to increase its usage among social work researchers. A challenge for social work researchers carrying out practice-based research is to incorporate statistical analyses that are comprehensible to clinicians. Another challenge is that categorical variables, as opposed to continuous, commonly occur in clinical settings, yet their usage is seldom taught in social work education. This article will discuss MLR, a categorical data analysis used when there are three or more unordered categories in the outcome variable. Multinomial logistic regression determines differences across client groups, and can be useful in assessment, case planning, and examination of outcomes.