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In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they promote or restrain the learning. Many researchers have investigated the impacts of emotions in enhancing and maximizing e-learning outcomes. Several machine learning and deep learning approaches have also been proposed to achieve this goal. All such approaches are suitable for an offline mode, where the data for emotion classification are stored and can be accessed infinitely. However, these offline mode approaches are inappropriate for real-time emotion classification when the data are coming in a continuous stream and data can be seen to the model at once only. We also need real-time responses according to the emotional state. For this, we propose a real-time emotion classification system (RECS)-based Logistic Regression (LR) trained in an online fashion using the Stochastic Gradient Descent (SGD) algorithm. The proposed RECS is capable of classifying emotions in real-time by training the model in an online fashion using an EEG signal stream. To validate the performance of RECS, we have used the DEAP data set, which is the most widely used benchmark data set for emotion classification. The results show that the proposed approach can effectively classify emotions in real-time from the EEG data stream, which achieved a better accuracy and F1-score than other offline and online approaches. The developed real-time emotion classification system is analyzed in an e-learning context scenario.

PurposeIntimate partner violence (IPV) encompasses physical, sexual, and psychological abuse, as well as controlling behavior. Most research focuses on physical and sexual abuse, and other aspects of IPV are rarely investigated. We estimated the effect of these neglected aspects of IPV on women’s mental distress.MethodsWe used data from 3010 women living in rural tribal communities in Rajasthan, India. Women completed baseline interviews and were re-interviewed approximately 1.5 years later. We measured IPV with questions adopted from the Demographic and Health Survey’s Domestic Violence Module, which asked seven questions about physical abuse, three questions about psychological abuse, and five questions about partner controlling behavior. Mental distress was measured with the 12-item General Health Questionnaire (score range 0–12). We used Poisson regression models to estimate the relation between changes in IPV and mental distress, accounting for time-fixed characteristics of individuals using individual fixed effects.ResultsWomen reported an average of 2.1 distress symptoms during baseline interviews. In models that controlled for time-varying confounding (e.g., wealth, other types of abuse), experiencing psychological abuse was associated with an increase of 0.65 distress symptoms (95% CI 0.32, 0.98), and experiencing controlling behavior was associated with an increase of 0.31 distress symptoms (95% CI 0.18, 0.44). However, experiencing physical abuse was not associated with an increase in distress symptoms (mean difference = − 0.15, 95% CI − 0.45, 0.15).ConclusionsPsychological abuse and controlling behavior may be important drivers of the relation between IPV and women’s mental health.

Background Women are disproportionally affected by human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) in sub-Saharan Africa (SSA). The determinants of gender inequality in HIV/AIDS may vary across countries and require country-specific interventions to address them. This study aimed to identify the socio-demographic and behavioral characteristics underlying gender inequalities in HIV/AIDS in 21 SSA countries. Methods We applied an extension of the Blinder-Oaxaca decomposition approach to data from Demographic and Health Surveys and AIDS Indicator Surveys to quantify the differences in HIV/AIDS prevalence between women and men attributable to socio-demographic factors, sexual behaviours, and awareness of HIV/AIDS. We decomposed gender inequalities into two components: the percentage attributable to different levels of the risk factors between women and men (the “composition effect”) and the percentage attributable to risk factors having differential effects on HIV/AIDS prevalence in women and men (the “response effect”). Results Descriptive analyses showed that the difference between women and men in HIV/AIDS prevalence varied from a low of 0.68 % ( P  = 0.008) in Liberia to a high of 11.5 % ( P  < 0.001) in Swaziland. The decomposition analysis showed that 84 % ( P  < 0.001) and 92 % ( P  < 0.001) of the higher prevalence of HIV/AIDS among women in Uganda and Ghana, respectively, was explained by the different distributions of HIV/AIDS risk factors, particularly age at first sex between women and men. In the majority of countries, however, observed gender inequalities in HIV/AIDS were chiefly explained by differences in the responses to risk factors; the differential effects of age, marital status and occupation on prevalence of HIV/AIDS for women and men were among the significant contributors to this component. In Cameroon, Guinea, Malawi and Swaziland, a combination of the composition and response effects explained gender inequalities in HIV/AIDS prevalence. Conclusions The factors that explain gender inequality in HIV/AIDS in SSA vary by country, suggesting that country-specific interventions are needed. Unmeasured factors also contributed substantially to the difference in HIV/AIDS prevalence between women and men, highlighting the need for further study.

Maternity leave reduces neonatal and infant mortality rates in high-income countries. However, the impact of maternity leave on infant health has not been rigorously evaluated in low- and middle-income countries (LMICs). In this study, we utilized a difference-in-differences approach to evaluate whether paid maternity leave policies affect infant mortality in LMICs. We used birth history data collected via the Demographic and Health Surveys to assemble a panel of approximately 300,000 live births in 20 countries from 2000 to 2008; these observational data were merged with longitudinal information on the duration of paid maternity leave provided by each country. We estimated the effect of an increase in maternity leave in the prior year on the probability of infant (<1 y), neonatal (<28 d), and post-neonatal (between 28 d and 1 y after birth) mortality. Fixed effects for country and year were included to control for, respectively, unobserved time-invariant confounders that varied across countries and temporal trends in mortality that were shared across countries. Average rates of infant, neonatal, and post-neonatal mortality over the study period were 55.2, 30.7, and 23.0 per 1,000 live births, respectively. Each additional month of paid maternity was associated with 7.9 fewer infant deaths per 1,000 live births (95% CI 3.7, 12.0), reflecting a 13% relative reduction. Reductions in infant mortality associated with increases in the duration of paid maternity leave were concentrated in the post-neonatal period. Estimates were robust to adjustment for individual, household, and country-level characteristics, although there may be residual confounding by unmeasured time-varying confounders, such as coincident policy changes. More generous paid maternity leave policies represent a potential instrument for facilitating early-life interventions and reducing infant mortality in LMICs and warrant further discussion in the post-2015 sustainable development agenda. From a policy planning perspective, further work is needed to elucidate the mechanisms that explain the benefits of paid maternity leave for infant mortality.

ObjectivesQuasi-experimental evidence suggests that extending the duration of legislated paid maternity leave is associated with lower prevalence of childhood diarrhoea in low-income and middle-income countries (LMICs). This could be due to a variety of mechanisms. This study examines whether this effect is mediated by changes in breastfeeding duration.Design and settingDifference-in-difference approach and causal mediation analysis were used to perform secondary statistical analysis of cross-sectional data from Demographic and Health Surveys (DHSs) in 38 LMICs.ParticipantsWe merged longitudinal data on national maternity leave policies with information on childhood diarrhoea related to 639 153 live births between 1996 and 2014 in 38 LMICs that participated in the DHS at least twice between 1995 and 2015.Primary outcome measureOur outcome was whether the child had bloody stools in the 2 weeks prior to the interview. This measure was used as an indicator of severe diarrhoea because the frequency of loose stools in breastfed infants can be difficult to distinguish from pathological diarrhoea based on survey data.ResultsA 1-month increase in the legislated duration of paid maternity leave was associated with a 34% (risk ratio 0.66, 95% CI 0.47 to 0.91) reduction in the prevalence of bloody diarrhoea. Breast feeding for at least 6 months and 12 months mediated 10.6% and 7.4% of this effect, respectively.ConclusionExtending the duration of paid maternity leave appears to lower diarrhoea prevalence in children under 5 years of age in LMICs. This effect is slightly mediated by changes in breastfeeding duration.

Starting in 2006 to 2007, the Government of Bangladesh implemented the Maternal Health Voucher Scheme (MHVS). This program provides pregnant women with vouchers that can be exchanged for health services from eligible public and private sector providers. In this study, we examined whether access to the MHVS was associated with maternal health services utilization, stillbirth, and neonatal and infant mortality. We used information on pregnancies and live births between 2000 to 2016 reported by women 15 to 49 years of age surveyed as part of the Bangladesh Demographic and Health Surveys. Our analytic sample included 23,275 pregnancies lasting at least 7 months for analyses of stillbirth and between 15,125 and 21,668 live births for analyses of health services use, neonatal, and infant mortality. With respect to live births occurring prior to the introduction of the MHVS, 31.3%, 14.1%, and 18.0% of women, respectively, reported receiving at least 3 antenatal care visits, delivering in a health institution, and having a skilled birth attendant at delivery. Rates of neonatal and infant mortality during this period were 40 and 63 per 1,000 live births, respectively, and there were 32 stillbirths per 1,000 pregnancies lasting at least 7 months. We applied a difference-in-differences design to estimate the effect of providing subdistrict-level access to the MHVS program, with inverse probability of treatment weights to address selection into the program. The introduction of the MHVS program was associated with a lagged improvement in the probability of delivering in a health facility, one of the primary targets of the program, although associations with other health services were less evident. After 6 years of access to the MHVS, the probabilities of reporting at least 3 antenatal care visits, delivering in a health facility, and having a skilled birth attendant present increased by 3.0 [95% confidence interval (95% CI) = -4.8, 10.7], 6.5 (95% CI = -0.6, 13.6), and 5.8 (95% CI = -1.8, 13.3) percentage points, respectively. We did not observe evidence consistent with the program improving health outcomes, with probabilities of stillbirth, neonatal mortality, and infant mortality decreasing by 0.7 (95% CI = -1.3, 2.6), 0.8 (95% CI = -1.7, 3.4), and 1.3 (95% CI = -2.5, 5.1) percentage points, respectively, after 6 years of access to the MHVS. The sample size was insufficient to detect smaller associations with adequate precision. Additionally, we cannot rule out the possibility of measurement error, although it was likely nondifferential by treatment group, or unmeasured confounding by concomitant interventions that were implemented differentially in treated and control areas. In this study, we found that the introduction of the MHVS was positively associated with the probability of delivering in a health facility, but despite a longer period of follow-up than most extant evaluations, we did not observe attendant reductions in stillbirth, neonatal mortality, or infant mortality. Further work and engagement with stakeholders is needed to assess if the MHVS has affected the quality of care and health inequalities and whether the design and eligibility of the program should be modified to improve maternal and neonatal health outcomes.

Ulcerative colitis (UC) is a chronic inflammatory disorder primarily affecting the colonic mucosa and submucosa. Butea monosperma stem bark is traditionally used in Ayurveda for diarrhea, inflammatory diseases, and Grahani Roga , which shares similarities with UC. However, the molecular mechanisms of B. monosperma in UC are unexplored. This study aimed to predict the molecular mechanisms of B. monosperma in UC by integrating network pharmacology, molecular docking, and dynamics-the first systematic effort to decode its phytochemical-target-pathway interactions, bridging traditional knowledge with computational pharmacology. A standardized B. monosperma stem bark was prepared. LC-MS analysis was used to identify phytochemicals in the stem bark, and their potential targets, along with disease targets, were obtained from relevant databases. Protein-protein interaction, Gene Ontology, and KEGG pathway enrichment analysis were performed to identify key biological processes and signaling pathways modulated by stem bark in UC. Molecular docking and dynamics studies predicted interactions between phytoconstituents and key target proteins. The results suggest that stem bark of B. monosperma modulates pathways involved in cell migration, oxidative stress, and epithelial cell apoptosis, particularly via cancer-related pathways, IL-17 signaling, and Th17 cell differentiation, all of which are implicated in UC pathogenesis. Key target proteins, including MAPK1, AKT1, NF-κB, RELA, and MMP9, were predicted to interact with active compounds. These findings suggest a potential molecular basis for the therapeutic effects of B. monosperma stem bark in UC, warranting further experimental validation.

Background Clinical evidence has long suggested there may be heterogeneity in the patterns and predictors of common mood and anxiety disorders; however, epidemiologic studies have generally treated these outcomes as homogenous entities. The objective of this study was to systematically review the epidemiologic evidence for potential patterns of heterogeneity of common mood and anxiety disorders over the lifecourse in the general population. Methods We reviewed epidemiologic studies examining heterogeneity in either the nature of symptoms experienced (\"symptom syndromes\") or in patterns of symptoms over time (\"symptom trajectories\"). To be included, studies of syndromes were required to identify distinct symptom subtypes, and studies of trajectories were required to identify distinct longitudinal patterns of symptoms in at least three waves of follow-up. Studies based on clinical or patient populations were excluded. Results While research in this field is in its infancy, we found growing evidence that, not only can mood and anxiety disorders be differentiated by symptom syndromes and trajectories, but that the factors associated with these disorders may vary between these subtypes. Whether this reflects a causal pathway, where genetic or environmental factors influence the nature of the symptom or trajectory subtype experienced by an individual, or whether individuals with different subtypes differed in their susceptibility to different environmental factors, could not be determined. Few studies addressed issues of comorbidity or transitions in symptoms between common disorders. Conclusion Understanding the diversity of these conditions may help us identify preventable factors that are only associated with some subtypes of these common disorders.

Intimate partner violence (IPV) affects an estimated 641 million women and girls globally with far-reaching consequences for the health of women and children. Yet, laws that prohibit domestic violence (DV) are not universal. Countries actively debate the effectiveness of DV laws in improving conditions given the inconclusive evidence on deterrent effects within households particularly in low- and middle-income countries that have limited infrastructure, and fewer resources to implement and enforce policy changes. This is the first study to rigorously examine the impact of DV laws on women’s health decision-making and the intergenerational impact on children’s wasting, a key predictor of mortality. We used the Demographic and Health Surveys (DHS) data collected between 2000–2020 across 23 African countries. Exploiting the staggered adoption of laws, we used a difference-in-differences study design to estimate the impact of DV laws in the treated countries compared to countries without such laws. We find that DV laws increased women’s decision-making autonomy in healthcare by 16.7% as well as other measures of women’s autonomy that matter for health such as financial autonomy by 6.3% and social mobility by 11.0%. The improvements in women’s autonomy translated into reductions in the probability of wasting among children aged 0–23 months by 5.4% points, a 30.9% reduction from the mean. DV laws also reduced wasting among older children aged 24–59 months by 3.6% points, a 38.7% reduction from the mean. The laws were effective in all 6 countries analyzed individually that criminalized DV. A civil prohibition in the seventh country was not found to be effective. The effect was positive and significant for all wealth and geographical categories. Our findings demonstrate the value of enacting criminal laws that prohibit domestic violence as one important tool to reducing the profound health impacts of IPV, a critical health and human rights issue.