Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network.

Globally, tea production and its quality fundamentally depend on tea leaves, which are susceptible to invasion by pathogenic organisms. Precise and early-stage identification of plant foliage diseases is a key element in preventing and controlling the spreading of diseases that hinder yield and quality. Image processing techniques are a sophisticated tool that is rapidly gaining traction in the agricultural sector for the detection of a wide range of diseases with excellent accuracy. This study focuses on a pragmatic approach for automatically detecting selected tea foliage diseases based on convolutional neural network (CNN). A large dataset of 3330 images has been created by collecting samples from different regions of Sylhet division, the tea capital of Bangladesh. The proposed CNN model is developed based on tea leaves affected by red rust, brown blight, grey blight, and healthy leaves. Afterward, the model's prediction was validated with laboratory tests that included microbial culture media and microscopic analysis. The accuracy of this model was found to be 96.65%. Chiefly, the proposed model was developed in the context of the Bangladesh tea industry.

Women's Social Mobility and Attitudinal Acceptance of Wife Abuse: A Cross-Sectional Study Among Bengali, Santal, and Garo Ethnic Communities in Rural Bangladesh.

Previous studies exploring the influential factors associated with attitudinal acceptance of wife abuse (AAWA) did not widely focus on the relation between women's social mobility (WSM) and different dimensions of AAWA in rural Bangladesh. This current study examined the association between WSM and different dimensions of AAWA in the context of socio-cultural differences among the Bengali, the Santal, and the Garo ethnic communities in rural Bangladesh. Adopting a cross-sectional design, 1,929 married men and women were randomly included in the study from 8 Bengali, 8 Santal, and 8 Garo villages where 50.2% were women and 49.8% were men. Of the sample, 33.2% Garo, 33.2% Santal, and 33.6% Bengali participants were included in this study. Data revealed that 45.5% of women had low social mobility and the prevalence of different dimensions of AAWA was high and varied among the study communities. We used descriptive statistics, chi-square, and binary logistic regression analysis to estimate the association. The multivariate binary logistic regression analysis results revealed that the likelihood of attitudinal acceptance of overall abuse, psychological abuse, physical abuse, abuse on disobeying family obligation, and abuse on challenging male authority were significantly lower for the respondents who belonged to families where women enjoyed high mobility compared to those who belonged to families where WSM was low. This study also showed that the Bengali and the Santal participants were more likely to accept different dimensions of AAWA compared to the Garos. This study suggests that WSM should be considered in policy-making and implementing interventions to reduce the different dimensions of AAWA in rural Bangladesh.

An effective method in investigating structures of polytropic protoplanets formed via gravitational instability.

In this article, we have reinvestigated the initial distribution of thermodynamic variables inside the protoplanets formed via gravitational instability having mass range 0.3 - 10 M J ( 1 M J = 1.8986 × 10 30  gm ) by an embedded RKACeM(4,4) method assuming that the polytropic gas law holds in the protoplanets. The findings attained by our numerical experiments are recognized to be consistent with the results acquired through other notable investigations in this regard. Furthermore, the model is easily computable. The used method is found to be efficient in investing the structures of polytropic protoplanets in their initial stages in terms of accuracy, stability, computational cost, and solving endpoint constraints.

Does childhood experience of family victimization influence adulthood refusal of wife abuse? Evidence from rural Bangladesh.

This study examined how different forms of childhood family victimization are associated with the attitudinal (not actual action) refusal of wife abuse among women and men in rural Bangladesh. It included 1,929 randomly selected married women and men. Of the sample, 31.3% (Men = 49.3%, Women = 13.5%) attitudinally refused overall wife abuse, 38.5% (Men = 53.2%, Women = 23.8%) refused emotional abuse, 67.0% (Men = 82.5%, Women = 51.6%) refused physical abuse, 78.0% (Men = 88.6%, Women = 67.4%) refused abuse on wife's disobeying family obligations, and 32.3% (Men = 50.3%, Women = 14.6%) refused abuse on challenging male authority. Multivariate logistic regression revealed that the odds ratio (ORs) of the attitudinal refusal of overall wife abuse were 1.75 (p = .041) for the childhood non-victims of emotional abuse and 2.31 (p < .001) for the victims of mild emotional abuse, compared to the victims of severe emotional abuse. On the other hand, the ORs of the overall refusal of abuse were 1.84 (p = .031) for the non-victims of physical abuse and 1.29 (p = .465) for the victims of mild physical abuse, compared to the childhood victims of severe physical abuse. Data further revealed that the childhood non-victimization of physical abuse increased all types of attitudinal refusal of wife abuse, e.g., emotional abuse, physical abuse, abuse on disobeying family obligations, and abuse on challenging male authority. Compared to the childhood experiences of severe emotional abuse, data also indicated that childhood exposure to mild emotional abuse might increase the attitudinal refusal of wife abuse on a few issues, e.g., abuse on disobeying family obligations, abuse on challenging male authority, and physical abuse. It appeared that childhood experiences of family victimization greatly influence different types of attitudinal refusal of wife abuse. We argue that the issue of childhood victimization should be brought to the forefront in the discourse. We recommend that state machinery and social welfare agencies should expend significant efforts to stop child abuse within the family and in other areas of society in rural Bangladesh.

Gender differences in marital violence: A cross-ethnic study among Bengali, Garo, and Santal communities in rural Bangladesh.

Studies on marital violence (MV) in Bangladesh have primarily focused on the women of the mainstream Bengali people, although half of the population is men, and there are also ethnic minority communities with diverse gender constructions. The current study examined the gender differences in MV among the matrilineal ethnic minority Garo, patrilineal ethnic minority Santal, and the patrilineal mainstream Bengali communities in rural Bangladesh. Adopting a cross-sectional design, we randomly included 1,929 currently married men and women from 24 villages. We used cross-tabulations as well as multivariate logistic regressions to estimate the ethnic and gender differences in MV. Data revealed that women were widely exposed to different types of MV, while only a few men experienced such abuses. It showed that 95.6% of the women experienced emotional abuse, 63.5% physical abuse, 71.4% sexual abuse, and 50.6% poly-victimization, whereas these rates were quite low among the men (emotional = 9.7%, physical = 0.7%, sexual = 0.1%). No men reported poly-victimization. The odds ratio (OR) for emotional, physical, and sexual MV were respectively, 184.44 (95% CI = 93.65-363.24, p<0.001), 449.23 (95% CI = 181.59-1111.35, p<0.001), and 2789.71(95% CI = 381.36-20407.08, p<0.001) for women compared to men. Data further revealed that matrilineal Garo women experienced less MV (emotional = 90.7%, physical = 53.4%, sexual = 64.0%, poly = 38.8%) than the patrilineal Santal (emotional = 99.4%, physical = 67.3%, sexual = 71.3%, poly = 53.9%) and Bengali women (emotional = 96.6%, physical = 69.6%, sexual = 78.8%, poly = 58.9%). Multivariate regressions also showed that the Bengali society perpetrated more physical (OR = 1.90, 95% CI = 1.27-2.85, p = 0.002) and sexual (OR = 2.04, 95% CI = 1.34-3.10, p = 0.001) MV than the Garo society. It appears that MV is largely a gendered issue in the country. Though both women and men can be the victims of MV, the nature/extent of victimization noticeably differs according to the social organization. Matrilineal society appears to be less abusive than the patrilineal one. Interventions aimed to prevent domestic violence in rural Bangladesh should take these findings into account.

Differences in the acceptance of wife abuse among ethnic minority Garo and Santal and mainstream Bengali communities in rural Bangladesh.

Studies on wife abuse in Bangladesh predominantly include the mainstream Bengali population, although there are at least 27 ethnic minority communities including a few 'female-centered' matrilineal groups living in the country. This study explored ethnic differences in the attitudinal acceptance of wife abuse among matrilineal ethnic minority Garo, patrilineal ethnic minority Santal, and mainstream patriarchal Bengali communities in rural Bangladesh. Adopting a cross-sectional design, the study included 1,929 women and men randomly selected from 24 Garo, Santal, and Bengali villages. Multivariate Poisson regression was performed to predict the number of contextual events, where the respondents attitudinally endorsed wife abuse. Of the sample, 33.2% were from Garo, 33.2% from Santal, and 33.6% from the Bengali communities. The acceptance of wife abuse was high in the sample; specifically, 34.1% of the respondents accepted physical wife abuse, 67.5% accepted emotional abuse, and 71.6% accepted any abuse (either physical or emotional) at least on one contextual reason provided in a 10-item scale. The mean for accepting any abuse was 3.0 (SD = 2.8), emotional abuse 2.3 (SD = 2.2), and physical abuse 0.8 (SD = 1.4). The study showed that the rates of accepting any abuse and physical abuse were respectively 16% and 56% lower among Garo as well as 14% and 33% lower among Santal than that of the Bengali community. Data also revealed that individual level factors like younger age, higher education, prestigious occupation as well as family level factors such as higher income, female mobility, and female family authority were inversely associated with the acceptance of wife abuse in the sample. It appears that the gender regime of a society has a great influence on the attitudes toward wife abuse. We argue that a comprehensive socio-cultural transformation of the patriarchal societies into a gender equal order is imperative for the prevention of widespread wife abuse in the country.

On the implementation of novel RKARMS(4,4) algorithm to study the structures of initial extrasolar giant protoplanets.

The main motivation and novel notion of this present communication is to implement the recently suggested fourth order with four stages embedded RKARMS(4,4) algorithm to examine its efficiency in reinvesting the structures of extrasolar protoplanets formed via disk instability which being presented in Paul et al. [1] (G.C. Paul, M.M. Rahman, D. Kumar, M.C. Barman, the radius spectrum of solid grains settling in gaseous giant protoplanets, Earth Sci. Inform. 6 (2013) 137-144) for the case of convective heat transfer using classical Runge-Kutta (RK) technique of order four. The results by the RKARMS(4,4) algorithm compared well with those obtained by the classical RK method of order four for any time length and found to be more suitable.

Identification of potential drug targets by subtractive genome analysis of Bacillus anthracis A0248: An in silico approach.

BACKGROUND: Bacillus anthracis is a gram positive, spore forming, rod shaped bacteria which is the etiologic agent of anthrax - cutaneous, pulmonary and gastrointestinal. A recent outbreak of anthrax in a tropical region uncovered natural and in vitro resistance against penicillin, ciprofloxacin, quinolone due to over exposure of the pathogen to these antibiotics. This fact combined with the ongoing threat of using B. anthracis as a biological weapon proves that the identification of new therapeutic targets is urgently needed. METHODS: In this computational approach various databases and online based servers were used to detect essential proteins of B. anthracis A0248. Protein sequences of B. anthracis A0248 strain were retrieved from the NCBI database which was then run in CD-hit suite for clustering. NCBI BlastP against the human proteome and similarity search against DEG were done to find out essential human non-homologous proteins. Proteins involved in unique pathways were analyzed using KEGG genome database and PSORTb, CELLO v.2.5, ngLOC - these three tools were used to deduce putative cell surface proteins. RESULTS: Successive analysis revealed 116 proteins to be essential human non-homologs among which 17 were involved in unique metabolic pathways and 28 were predicted as membrane associated proteins. Both types of proteins can be exploited as they are unlikely to have homologous counterparts in the human host. CONCLUSION: Being human non-homologous, these proteins can be targeted for potential therapeutic drug development in future. Targets on unique metabolic and membrane-bound proteins can block cell wall synthesis, bacterial replication and signal transduction respectively.