scholarly journals AS FORMAS DE VIOLÊNCIA À MULHER SOB A PROTEÇÃO DA LEI N° 11.340/06 (LEI MARIA DA PENHA)

2018 ◽  
Vol 2 (Especial 2) ◽  
pp. 858-861
Author(s):  
Tainara Andrea de Souza
Keyword(s):  
Domestic Violence ◽  
Family Violence ◽  
Violence Against Women ◽  
Domestic Violence Against Women

This article seeks to present and understand, in light of Law 11.340 / 06, this known as the Maria da Penha law, we will see in article seventh, the types of domestic violence against women, listed in its paragraphs, as well as the general considerations about such types of violence. The method used was the legal deductive, applying the interpretation of the legislation and doctrine. It is concluded that the main objective of this article is to demonstrate the forms of domestic and family violence against women, which are physical, psychological, sexual, property and moral violence.

scholarly journals Prediction on Domestic Violence in Bangladesh during the COVID-19 Outbreak Using Machine Learning Methods

2021 ◽  
Vol 4 (4) ◽  
pp. 77
Author(s):  
Md. Murad Hossain ◽  
Md. Asadullah ◽  
Abidur Rahaman ◽  
Md. Sipon Miah ◽  
M. Zahid Hasan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Domestic Violence ◽  
Logistic Regression ◽  
Random Forest ◽  
Family Violence ◽  
Violence Against Women ◽  
Machine Learning Algorithms ◽  
Data Set ◽  
Domestic Violence Against Women ◽  
Women And Children

The COVID-19 outbreak resulted in preventative measures and restrictions for Bangladesh during the summer of 2020—these unstable and stressful times led to multiple social problems (e.g., domestic violence and divorce). Globally, researchers, policymakers, governments, and civil societies have been concerned about the increase in domestic violence against women and children during the ongoing COVID-19 pandemic. In Bangladesh, domestic violence against women and children has increased during the COVID-19 pandemic. In this article, we investigated family violence among 511 families during the COVID-19 outbreak. Participants were given questionnaires to answer, for a period of over ten days; we predicted family violence using a machine learning-based model. To predict domestic violence from our data set, we applied random forest, logistic regression, and Naive Bayes machine learning algorithms to our model. We employed an oversampling strategy named the Synthetic Minority Oversampling Technique (SMOTE) and the chi-squared statistical test to, respectively, solve the imbalance problem and discover the feature importance of our data set. The performances of the machine learning algorithms were evaluated based on accuracy, precision, recall, and F-score criteria. Finally, the receiver operating characteristic (ROC) and confusion matrices were developed and analyzed for three algorithms. On average, our model, with the random forest, logistic regression, and Naive Bayes algorithms, predicted family violence with 77%, 69%, and 62% accuracy for our data set. The findings of this study indicate that domestic violence has increased and is highly related to two features: family income level during the COVID-19 pandemic and education level of the family members.

Family Courts and Human Security in South West Nigeria

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Janet Oluwaleye Monisola
Keyword(s):  
Domestic Violence ◽  
Violence Against Women ◽  
Physical Violence ◽  
Fundamental Rights ◽  
Secondary Sources ◽  
Family Courts ◽  
South West ◽  
The Family ◽  
Domestic Violence Against Women

The trend of violence against women in Nigeria has increased more than ever recently, with many women having been deprived of their fundamental rights. Violence against women in Nigeria includes sexual harassment, physical violence, harmful traditional practices, emotional and psychological violence, and socio-economic violence. This article investigates cases of domestic violence against women in South West Nigeria by assessing the role of family courts in the adjudication of such cases. Both primary and secondary sources of data were employed to examine incidents of violence against women and the role of the family courts in ensuring justice. The author employed both primary and secondary sources of data; the data gathered were analysed by frequency and simple percentages, while qualitative data were descriptively analysed. The article reveals the causes of domestic violence against women to include a cultural belief in male superiority, women’s lack of awareness of their rights, women’s poverty owing to joblessness, men seeking sexual satisfaction by force, women having only male children, the social acceptance of discipline, the failure to punish the perpetrators of violence, the influence of alcohol, and in-laws’ interference in marital relationships. It also reveals the nature of domestic violence against women. The research revealed that the family courts have played prominent roles in protecting and defending the rights of women. The author therefore recommends that the law should strengthen the family courts by extending their power to penalise the perpetrators of violence against women. 

The relationship between domestic violence against women and suicide risk

2018 ◽  
Vol 32 (4) ◽  
pp. 574-579 ◽  
Author(s):  
Funda Kavak ◽  
Ümmühan Aktürk ◽  
Aysel Özdemir ◽  
Abdurrezzak Gültekin
Keyword(s):  
Domestic Violence ◽  
Violence Against Women ◽  
Suicide Risk ◽  
Domestic Violence Against Women ◽  
The Relationship

scholarly journals Domestic violence against women: representations of health professionals

2015 ◽  
Vol 23 (4) ◽  
pp. 718-724 ◽  
Author(s):  
Vera Lúcia de Oliveira Gomes ◽  
Camila Daiane Silva ◽  
Denize Cristina de Oliveira ◽  
Daniele Ferreira Acosta ◽  
Cristiane Lopes Amarijo
Keyword(s):  
Domestic Violence ◽  
Violence Against Women ◽  
Health Professionals ◽  
Professional Training ◽  
Social Representations ◽  
Family Health ◽  
General Group ◽  
Domestic Violence Against Women ◽  
Structured Representation ◽  
Negative Connotation

AbstractObjective: to analyze the representations about domestic violence against women, among health professionals of Family Health Units.Method: qualitative study based on the Theory of Social Representations. Data were collected by means of evocations and interviews, treating them in the Ensemble de Programmes Pemettant L'Analyse des Evocations software - EVOC and content analysis.Results: nurses, physicians, nursing technicians and community health agents participated. The evocations were answered by 201 professionals and, of these, 64 were interviewed. The central core of this representation, comprised by the terms "aggression", "physical-aggression", "cowardice" and "lack of respect", which have negative connotations and were cited by interviewees. In the contrast zone, comprised by the terms "abuse", "abuse-power", "pain", "humiliation", "impunity", "suffering", "sadness" and "violence", two subgroups were identified. The first periphery contains the terms "fear", evoked most often, followed by "revolt", "low self-esteem" and "submission", and in the second periphery "acceptance" and "professional support".Conclusion: this is a structured representation since it contains conceptual, imagetic and attitudinal elements. The subgroups were comprised by professionals working in the rural area and by those who had completed their professional training course in or after 2004. These presented a representation of violence different from the representation of the general group, although all demonstrated a negative connotation of this phenomenon.

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