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2021 ◽  
pp. 1-17
Author(s):  
Margarita Chudnovskaya ◽  
Peter Ueda

Abstract In most countries, men are more likely to be childless than women. Understanding how this inequality arises is important given the significance of parenthood for individuals’ lives. The objective of this study was to explore how three prominent explanations for sex inequalities in childlessness relate to the Sex Gap in Childlessness (SGC) in Sweden. The three explanations examined were sex ratio imbalance (more men than women), mismeasurement of fatherhood (inequalities in registration) and partnership differences (inequality in multi-partner fertility). Administrative register data for cohorts born in 1945–1974 were used. The population was restricted to men and women who were born in Sweden or arrived prior to the age of 15, and all registered childbearing partnerships were examined. To explore the possible significance of the three explanations, counter-factual standardization was used. Of the three explanations examined, the population sex ratio had the largest positive impact on the SGC, while multi-partner fertility had a negative impact. The results show that inequalities in the sex ratio can explain about 20–34% of the SGC depending on cohort. Inequalities in registration of fathers explain about 9–24% of the SGC depending on cohort. Finally, results show that women are slightly more likely to have multiple partners, and that this behaviour has a substantial minimizing effect on the SGC (minimizing it by 6–65%). To the authors’ knowledge this was the first paper to estimate the scope of the impacts of these three mechanisms on the SGC. Differences in multi-partner fertility have in many instances been used as an explanation for men’s higher childlessness. This study shows that women have slightly more childbearing partners than men, and that this actually leads to a smaller SGC in the studied population.


2021 ◽  
Vol 1 (06) ◽  
Author(s):  
Renato Da Silva Alves ◽  
Laryane Dias Sales Palma ◽  
Lais Lopes Amaral ◽  
Letícia Gabryella Viana ◽  
Karla Talita Santos Silva ◽  
...  

Introduction: Cervical cancer is one of the most frequent in the female population, it is related to HPV infection, multiple partners, unfavorable socioeconomic conditions, among other factors. Objective: To know the profile of cervical cancer in women living in Montes Claros, Minas Gerais, Brazil. Methods: This is a descriptive study with a quantitative approach using data from patients diagnosed with cervical cancer available in hospital records of the José Alencar Gomes da Silva National Cancer Institute (INCA). Results and discussion: In the period analyzed, 555 cervical cancer diagnoses were registered in the database of the José Alencar Gomes da Silva National Cancer Institute (INCA) in the municipality investigated. Conclusion: The data available in the INCA database in relation to women residing in Montes Claros, Minas Gerais indicated adult, married, brown women, with a low level of education and occupations with low wages. Coordinated actions from all public spheres of planning and execution of women's health policy are needed to intensify early diagnosis and treatment.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jaak Simm ◽  
Lina Humbeck ◽  
Adam Zalewski ◽  
Noe Sturm ◽  
Wouter Heyndrickx ◽  
...  

AbstractWith the increase in applications of machine learning methods in drug design and related fields, the challenge of designing sound test sets becomes more and more prominent. The goal of this challenge is to have a realistic split of chemical structures (compounds) between training, validation and test set such that the performance on the test set is meaningful to infer the performance in a prospective application. This challenge is by its own very interesting and relevant, but is even more complex in a federated machine learning approach where multiple partners jointly train a model under privacy-preserving conditions where chemical structures must not be shared between the different participating parties. In this work we discuss three methods which provide a splitting of a data set and are applicable in a federated privacy-preserving setting, namely: a. locality-sensitive hashing (LSH), b. sphere exclusion clustering, c. scaffold-based binning (scaffold network). For evaluation of these splitting methods we consider the following quality criteria (compared to random splitting): bias in prediction performance, classification label and data imbalance, similarity distance between the test and training set compounds. The main findings of the paper are a. both sphere exclusion clustering and scaffold-based binning result in high quality splitting of the data sets, b. in terms of compute costs sphere exclusion clustering is very expensive in the case of federated privacy-preserving setting.


Author(s):  
Ying Xie ◽  
Feng Zhou ◽  
Qianqian Ma ◽  
Lanyuan Lu ◽  
Yansong Miao

Actin nucleation is achieved by collaborative teamwork of actin nucleator factors (NFs) and nucleation-promoting factors (NPFs) into functional protein complexes. Selective inter- and intramolecular interactions between the nucleation complex constituents enable diverse modes of complex assembly in initiating actin polymerization upon demand. Budding yeast has two formins, Bni1 and Bnr1, which are teamed up with different NPFs. However, the selective pairing between formin NFs and NPFs into the nucleation core for actin polymerization is not completely understood. By examining the functions and interactions of NPFs and NFs via biochemistry, genetics, and mathematical modeling approaches, we found that two NPFs, Aip5 and Bud6, showed joint teamwork effort with Bni1 and Bnr1, respectively, by interacting with the C-terminal intrinsically disordered region (IDR) of formin, in which two NPFs work together to promote formin-mediated actin nucleation. Although the C-terminal IDRs of Bni1 and Bnr1 are distinct in length, each formin IDR orchestrates the recruitment of Bud6 and Aip5 cooperatively by different positioning strategies to form a functional complex. Our study demonstrated the dynamic assembly of the actin nucleation complex by recruiting multiple partners in budding yeast, which may be a general feature for effective actin nucleation by formins. [Media: see text]


2021 ◽  
Author(s):  
Jaak Simm ◽  
Lina Humbeck ◽  
Adam Zalewski ◽  
Noe Sturm ◽  
Wouter Heyndrickx ◽  
...  

With the increase in applications of machine learning methods in drug design and related fields, the challenge of designing sound test sets becomes more and more prominent. The goal of this challenge is to have a realistic split of chemical structures (compounds) between training, validation and test set such that the performance on the test set is meaningful to infer the performance in a prospective application. This challenge is by its own very interesting and relevant,but is even more complex in a federated machine learning approach where multiple partners jointly train a model under privacy-preserving conditions where chemical structures must not be shared between the different participating parties in the federated learning. In this work we discuss three methods which provide a splitting of the data set and are applicable in a federated privacy-preserving setting, namely: a. locality-sensitive hashing (LSH), b. sphere exclusion clustering, c. scaffold-based binning (scaffold network). For evaluation of these splitting methods we consider the following quality criteria: bias in prediction performance, label and data imbalance, distance of the test set compounds to the training set and compare them to a random splitting. The main findings of the paper are a. both sphere exclusion clustering and scaffold-based binning result in high quality splitting of the data sets, b. in terms of compute costs sphere exclusion clustering is very expensive in the case of federated privacy-preserving setting.


2021 ◽  
Vol 5 (1) ◽  
pp. 107-119
Author(s):  
Tini Jufri ◽  
Katmini Katmini

Cervical cancer is the leading cause of death in the world, with 311,365 cervical cancer deaths. recorded globally in 2018. Cervical cancer is caused by the Human Papilloma Virus (HPV). This viral infection is often found in sexually active women who have multiple partners. Therefore, cervical cancer can be prevented by conducting early examination through Visual Acetate Inspection (IVA). The purpose of the literature review is to determine whether there is a relationship between theory of planned behavior and participation in IVA examinations in women of fertile age. The method uses Literature reviews from the Pubmed, Microsoft Academic, BASE and Google Scholar databases, published in 2015 to 2020, and manually selects and analyzes relevant articles. The results of the literature review show that of the 20 journals found and in accordance with the research questions, namely, 1 journal that discusses the Intention Relationship of the IVA test, 7 journals that discuss the Relationship of the IVA Test Behavior, 9 journals that discuss the Attitude Relationship of the IVA test, 3 journals that discuss the Relationship of Subjective Norms for the IVA test and from the 20 journals that were found active IVA examination, 4 journals and 16 journals that were not active performed the IVA examination. From the results of the analysis of the journal, it was found that there was a lack of knowledge and information about IVA tests so that women of childbearing age did not actively carry out IVA examinations, the importance of counseling and health education regarding early detection of cervical cancer, especially IVA tests, not only for women of childbearing age, but also for their husbands, so that they understand the importance of early detection of cervical cancer and can increase the intention, behavior, attitude and subjective norms towards the activity of the IVA test.


Author(s):  
TIINA TAWASTSTJERNA ◽  
HEIDI OLANDER

Previous research has increased our understanding of digital transformation (DT) and digital business ecosystems as independent topics. Less is known about how DT unfolds in digital business ecosystems. Such collaborative creation of digital innovations is affected by individual actors and by ecosystem as a whole. Based on an empirical case study of an ecosystem facilitator company and its digital business ecosystems as embedded cases, this paper contributes to the understanding of key success factors in new digital business ecosystems. The findings support collaborative governance as an important tool in leading the DT among multiple partners. Moreover, the findings present the concept of a common rulebook, including the practices, principles, guidelines, tools, handshakes, and boundaries, as an enabler for ways of working in an ecosystem. Managers can use this paper to increase their understanding on the governance of digital business ecosystems and to clarify their organisational expectations when participating in joint endeavours involving DT.


2021 ◽  
Author(s):  
Jaak Simm ◽  
Lina Humbeck ◽  
Adam Zalewski ◽  
Noe Sturm ◽  
Wouter Heyndrickx ◽  
...  

With the increase in applications of machine learning methods in drug design and related fields, the challenge of designing sound test sets becomes more and more prominent. The goal of this challenge is to have a realistic split of chemical structures (compounds) between training, validation and test set such that the performance on the test set is meaningful to infer the performance in a prospective application. This challenge is by its own very interesting and relevant,but is even more complex in a federated machine learning approach where multiple partners jointly train a model under privacy-preserving conditions where chemical structures must not be shared between the different participating parties in the federated learning. In this work we discuss three methods which provide a splitting of the data set and are applicable in a federated privacy-preserving setting, namely: a. locality-sensitive hashing (LSH), b. sphere exclusion clustering, c. scaffold-based binning (scaffold network). For evaluation of these splitting methods we consider the following quality criteria: bias in prediction performance, label and data imbalance, distance of the test set compounds to the training set and compare them to a random splitting. The main findings of the paper are a. both sphere exclusion clustering and scaffold-based binning result in high quality splitting of the data sets, b. in terms of compute costs sphere exclusion clustering is very expensive in the case of federated privacy-preserving setting.


2021 ◽  
Vol 33 (5) ◽  
pp. 377-394
Author(s):  
Arleen Leibowitz ◽  
Diane Tan

The CDC recommends that everyone have at least one HIV test in their lifetime. However, analyses of California Health Interview Survey data showed that in 2017 only half of Californians had ever received an HIV test. Non-Hispanic Black (64.8%) and Hispanic adults (54.7%) had higher lifetime testing rates than non-Hispanic White adults (48.8%). In multivariable analyses non-Hispanic African American adults had twice and Hispanic adults 1.2 times the odds of lifetime HIV testing as non-Hispanic White adults. The CDC recommends annual HIV testing for higher-risk individuals. Independent of race/ethnicity, heterosexual men with multiple sex partners had lower annual testing rates than other high-risk individuals. Annual testing was unrelated to education level and poverty, but was related to number of doctor visits. HIV screening rates among heterosexual men with multiple partners could be increased by targeting HIV screening to non-medical settings in California's eight Ending the HIV Epidemic counties.


Author(s):  
Jee Won Park ◽  
Adrian S. Dobs ◽  
Ken S. Ho ◽  
Frank J. Palella ◽  
Eric C. Seaberg ◽  
...  

AbstractWe investigated the longitudinal relationship between erectile dysfunction (ED) drug use with behavioral factors, including substance use and sexual activities in men who have sex with men from the Multicenter AIDS Cohort Study during 1998–2016 (n = 1636). We used a bivariate random-intercept model to evaluate ED drug use along with other behavioral factors to assess relationships between the two outcomes over time on a population level and also at the individual level. Average ED drug use among men who have sex with men (MSM) with HIV was positively correlated with average use of marijuana (r = .19), poppers (r = .27), and stimulants (r = .25). In this group, testosterone use (r = .32), multiple partners (r = .41), insertive anal intercourse with condom (r = .40), and insertive anal intercourse without condom (r = .43) all showed moderate correlations over time with average ED use (p < .001). Associations among MSM without HIV were similar, with average marijuana use (r = .19) and stimulant use (r = .22) being positively correlated with average ED drug use, and were also correlated with having multiple partners (r = .36), insertive anal intercourse with condom (r = .22), and insertive anal intercourse without condom (r = .18) over time. Positive within-individual associations between ED drug use and multiple partners and insertive anal intercourse with and without condom were observed regardless of HIV serostatus. This study showed that MSM who reported use of ED drugs were also, on average, more likely to use recreational drugs and engage in sexual activities, such as having multiple partners and insertive anal intercourse. Within individuals, average ED drug use was also positively correlated with sexual behaviors.


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