Background: Mission Indradhanush has been launched in December 2014 as a special drive to vaccinate all unvaccinated and partially vaccinated children. This study was conducted with an aim to evaluate process of mission Indradhanush immunization program in urban and rural communities of Ahmedabad district, Gujarat.Methods: Community based cross-sectional study carried out at places such as urban slums with migration, nomadic sites, brick kilns, construction sites, underserved and hard to reach areas from July 2015 to July 2017. Cluster sampling method has been used, adapted from WHO 30-cluster sampling. Thirty (30) clusters were selected using probability proportional to the population size (PPS). Each PHC/UHC was taken as one cluster.Results: All the planned session being held as per micro plan (100%). Due lists of beneficiaries were present at all sites but not updated at 6 (10%) session sites. Mobilizers were present at 58 (96.67%) session sites. ANMs were giving all 4 key messages at 86.67% of session sites. 115 (95.8%) caregivers told source of information was home visits of ASHA/AWW. 66(55.00%) mothers were aware about when to come for next visit and 70 (58.33%) aware about which vaccines were given on MI session day.Conclusions: All the session sites had micro plan and due list, which is major achievement and positive sign of successful implementation of mission Indradhanush. Availability of vaccines and other logistics were also up to the mark. Over all implementation process was satisfactory and according to operational guidelines of MI.

Background: Birth Preparedness and Complication Readiness (BPCR) helps in improving the effective utilization of available maternal and newborn health care services through knowledge of danger sign, identifying birth place and attendant, means of transportation, managing fund for an emergency, birth companion and identification of blood donor. Aim: To find the association between socio-demographic characteristics and BPCR index indicators. Settings and Design: A cross-sectional study was conducted among the recently delivered and pregnant women in urban and rural areas of the Gandhinagar district of Gujarat. Methods and Material: Total 420 pregnant and recently delivered women from urban and rural areas were interviewed for study. A pretested semi-structured questionnaire was used to interview women at household setting. BPCR index is estimated by set of 7 quantifiable indicators and expressed in the percentage of women with specific characteristics. Results: Regarding ANC registration within 12th weeks of pregnancy and skilled birth attendant for delivery. Significant difference was observed with variable like APL/BPL status, education of women and their husband, parity and type of family. Conclusions: Hindu religion, APL economic status, higher education level, joint family, high parity and joint family were found important predictor of better BPCR practice.

The complexity of software tasks and the uncertainty of crowd developer behaviors make it challenging to plan crowdsourced software development (CSD) projects. In a competitive crowdsourcing marketplace, competition for shared worker resources from multiple simultaneously open tasks adds another layer of uncertainty to potential outcomes of software crowdsourcing. These factors lead to the need for supporting CSD managers with automated scheduling to improve the visibility and predictability of crowdsourcing processes and outcomes. To that end, this paper proposes an evolutionary algorithm-based task scheduling method for crowdsourced software development. The proposed evolutionary scheduling method uses a multiobjective genetic algorithm to recommend optimal task start date. The method uses three fitness functions, based on project duration, task similarity, and task failure prediction, respectively. The task failure fitness function uses a neural network to predict the probability of task failure with respect to a specific task start date. The proposed method then recommends the best tasks' start dates for the project as a whole and each individual task so as to achieve the lowest project failure ratio. Experimental results on 4 projects demonstrate that the proposed method has the potential to reduce project duration by a factor of 33-78%.

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