Measurement of the sexual health and wellbeing of women who have undergone female genital mutilation/Cutting: A scoping review

Objective: We conducted a scoping review to identify and assess instruments used to measure sexual health and wellbeing in women who have undergone female genital mutilation/cutting (FGM/C). Method: We retrieved and assessed 10 validated instruments using an 18-item checklist derived from the Consensus-based Standards for the Selection of Health Status Measurement Instruments (COSMIN) checklist. Results: All instruments were developed and initially validated among literate, predominantly Caucasian participants in North America and Europe. Only 1 validation study was conducted among women living with FGM/C. Conclusion: Most instruments only measured sexual functioning. Findings underscore the need to validate instruments appropriate for use among FGM/C survivors.     

The impact of tourism and finance on women empowerment

The Goal-5 of United Nations Development Agenda for gender equality and women empowerment through equalizing the ratio of girls and boys enrolment in primary education remains suffered in almost every part of the globalized world, which does not even violate the basic human rights while it is the mandatory foundation for global peace and prosperity. The contribution of international tourism development to empower women is the key initiative of the developed world to provide an equal opportunity to the women to sustain their livelihoods. This study focused on the role of international tourism development on women empowerment through mediating a number of financial factors in a panel of 24 selected European countries, over a period of 1990–2015. The results show that financial intermediaries act as a catalyst to empower women through international tourism. More specifically, tourism and financial factors promote (i) gender parity in tertiary enrollment, (ii) gender parity in primary and secondary school enrollment, (iii) female employment, and (iv) women’s share in non-agriculture wage employment, while the results further support the (i) growth-led tourism, (ii) finance-led growth, (iii) growth stimulate women empowerment, and (iv) tourism-induced women’s empowerment hypothesis across countries.     

Variable selection for model-based clustering using the integrated complete-data likelihood

Variable selection in cluster analysis is important yet challenging. It can be achieved by regularization methods, which realize a trade-off between the clustering accuracy and the number of selected variables by using a lasso-type penalty. However, the calibration of the penalty term can suffer from criticisms. Model selection methods are an efficient alternative, yet they require a difficult optimization of an information criterion which involves combinatorial problems. First, most of these optimization algorithms are based on a suboptimal procedure (e.g. stepwise method). Second, the algorithms are often computationally expensive because they need multiple calls of EM algorithms. Here we propose to use a new information criterion based on the integrated complete-data likelihood. It does not require the maximum likelihood estimate and its maximization appears to be simple and computationally efficient. The original contribution of our approach is to perform the model selection without requiring any parameter estimation. Then, parameter inference is needed only for the unique selected model. This approach is used for the variable selection of a Gaussian mixture model with conditional independence assumed. The numerical experiments on simulated and benchmark datasets show that the proposed method often outperforms two classical approaches for variable selection. The proposed approach is implemented in the R package VarSelLCM available on CRAN.     

Health care providers' readiness to screen for intimate partner violence in Northern Nigeria

Research on screening for intimate partner violence (IPV) within health care in a sub-Saharan African context is rare. This paper assessed factors associated with the readiness to screen for IPV among care providers (HCP, n = 274) at Kano hospital, Nigeria. Readiness was measured using the Domestic Violence Health Care Providers' survey instrument, which measures grade of perceived self-efficacy in screening for IPV, fear for victim/provider safety, access to system support to refer IPV victims, professional roles resistant/ fear of offending clients, and blaming the victim for being abused victim. Social workers perceived a higher self-efficacy and better access to system support networks to refer victims than peers in other occupation categories. Female care providers and doctors were less likely to blame the victim than males and social workers, respectively. Younger care providers of Yoruba ethnicity and social workers were less likely to perceive conflicting professional roles related to screening than older providers of Hausa ethnicity and doctors, respectively. Implications of our findings for interventions and further research are discussed.     

Textual data transformations using natural language processing for risk assessment

Underlying information about failure, including observations made in free text, can be a good source for understanding, analyzing, and extracting meaningful information for determining causation. The unstructured nature of natural language expression demands advanced methodology to identify its underlying features. There is no available solution to utilize unstructured data for risk assessment purposes. Due to the scarcity of relevant data, textual data can be a vital learning source for developing a risk assessment methodology. This work addresses the knowledge gap in extracting relevant features from textual data to develop cause–effect scenarios with minimal manual interpretation. This study applies natural language processing and text-mining techniques to extract features from past accident reports. The extracted features are transformed into parametric form with the help of fuzzy set theory and utilized in Bayesian networks as prior probabilities for risk assessment. An application of the proposed methodology is shown in microbiologically influenced corrosion-related incident reports available from the Pipeline and Hazardous Material Safety Administration database. In addition, the trained named entity recognition (NER) model is verified on eight incidents, showing a promising preliminary result for identifying all relevant features from textual data and demonstrating the robustness and applicability of the NER method. The proposed methodology can be used in domain-specific risk assessment to analyze, predict, and prevent future mishaps, ameliorating overall process safety.     

Risk aversion elicitation: reconciling tractability and bias minimization

Risk attitude is known to be a key determinant of various economic and financial choices. Behavioral studies that aim to evaluate the role of risk attitudes in contexts of this type, therefore, require tools for measuring individual risk tolerance. Recent developments in decision theory provide such tools. However, the methods available can be time consuming. As a result, some practitioners might have an incentive to prefer “fast and frugal” methods to clean but more costly methods. In this article, we focus on a tractable procedure initially proposed by Holt and Laury (2002) to elicit risk attitude. We generalize this method to measure utility and risk aversion as follows. First, we allow measurement of probabilistic risk attitude through violations of expected utility due to probability weighting. Second, we use the outcome scale rather than the probability scale in the menu of choices. Third, we compare sure payoffs with lotteries instead of comparing non-degenerate lotteries. A within-subject experimental study illustrates the gains in tractability and bias minimization that can result from such an extension.     

The Role of Development Oriented Non-Governmental Organizations in Creating Shared Value in the Educational Sector of Ghana: The Mediating Role of Basic Needs

This paper employed a structural equation modeling technique to investigate how Development Oriented Non-Governmental Organizations (DONGOs) could complement government efforts through the concept of shared value creation in the educational sector of Ghana. To address this objective, we analyzed whether DONGOs could create shared value by pursuing both social and economic objectives and also how the growing basic needs of education could influence these relationships. The study concluded that basic needs fully mediate social value to shared value and partially mediate economic value to shared value. Moreover, the study revealed that economic value to shared value creation is statistically significant and also demonstrated a positive and significant relationship between social value and shared value. The results further indicate that basic needs have a positive and significant relationship with shared value.

     

Social insurance schemes in the Gulf countries

Being economically well established, the member countries of the Gulf Cooperation Council have unique social insurance schemes. Based on the defined benefit principle, they have succeeded in creating large reserves, which are managed and invested independently by the social insurance institutions. However, the schemes are facing a continuous escalation in their costs, due to their generosity rather than the population ageing observed in industrialized countries. This trend may well support the argument that the schemes in the region can cope with conventional reforms like increasing contribution rates, raising retirement age and restricting early retirement, rather than switching to a defined contribution system.