Capuchin Search Particle Swarm Optimization (CS-PSO) based Optimized Approach to Improve the QoS Provisioning in Cloud Computing Environment

This review introduces the methods for further enhancing resource assignment in distributed computing situations taking into account QoS restrictions. While resource distribution typically affects the quality of service (QoS) of cloud organizations, QoS constraints such as response time, throughput, hold-up time, and makespan are key factors to take into account. The approach makes use of a methodology from the Capuchin Search Particle Large Number Improvement (CS-PSO) apparatus to smooth out resource designation while taking QoS constraints into account. Throughput, reaction time, makespan, holding time, and resource use are just a few of the objectives the approach works on. The method divides the resources in an optimum way using the K-medoids batching scheme. During batching, projects are divided into two-pack assembles, and the resource segment method is enhanced to obtain the optimal configuration. The exploratory association makes use of the JAVA device and the GWA-T-12 Bitbrains dataset for replication. The outrageous worth advancement problem of the multivariable capacity is addressed using the superior calculation. The simulation findings demonstrate that the core (Cloud Molecule Multitude Improvement, CPSO) computation during 500 ages has not reached assembly repeatedly, repeatedly, repeatedly, and repeatedly, respectively.The connection analysis reveals that the developed model outperforms the state-of-the-art approaches. Generally speaking, this approach provides significant areas of strength for a successful procedure for improving resource designation in distributed processing conditions and can be applied to address a variety of resource segment challenges, such as virtual machine setup, work arranging, and resource allocation. Because of this, the capuchin search molecule enhancement algorithm (CSPSO) ensures the success of the improvement measures, such as minimal streamlined polynomial math, rapid consolidation speed, high productivity, and a wide variety of people

Induction of labor in women with unfavourable cervix: comparison of efficacy of intracervical Foley catheter with PGE2 gel

Background: The aim of our study was to compare the efficacy, safety and patient’s satisfaction of intracervical Foley catheter with intracervical dinoprostone gel (PGE2 gel) for cervical ripening for successful induction of labor.Methods: Prospective study was conducted in Department of Obstetrics and Gynaecology, M P Shah Medical College, Jamnagar, Gujarat. 317 women with term pregnancy with bishop score of less than 4 with various indications for induction were included. Intracervical foley catheter was kept in 162 women for cervical ripening (group A) while intracervical PGE2 gel was kept in rest 155 women (group B).  The change in the bishop score, progress of labor, adverse effects and outcome of labor along with the patient’s satisfaction were assessed.Results: With regard to the obstetrical parameters, the two groups were comparable with respect to maternal age, gestational age, parity, indication for induction and initial bishop score. At 12 hours, both the groups showed significant improvement in bishop score, 5.2±1.81 and 4.8±1.76 in Foley catheter and PGE2 gel respectively. Mean induction to delivery interval was 18.8±5.5 in group A and 17.9±5.3 in group B, which was statistically insignificant.  No significant differences in side effects, mode of delivery and APGAR score were noted in both the groups. However, the incidence of hyperstimulation and tachysystole was higher in PGE2 gel group.Conclusions: This study shows that both Foley catheter and dinoprostone gel appear to be equally effective agents for cervical ripening. Infect foley catheter is cheap, causes less fetal distress and is safer than PGE2 gel

Mifepristone and misoprostol versus misoprostol alone in management of late intrauterine fetal death

Background: The objective was to assess the efficacy and safety of pretreatment with Mifepristone in induction of late intrauterine fetal death in combination with misoprostol.Methods: A prospective study was carried out in GMERS Medical College, Sola, Ahmedabad between October 2014 to April 2016. Data from 72 women with intrauterine fetal death between the gestational age of 24 to 42 weeks were analyzed. Group A women received single oral dose of 200 mg Mifepristone followed 36 to 48 hours later with Misoprostol (200-50 microgram) every 4 hour to a maximum of 5 doses. The first dose was kept vaginally in the posterior fornix and the rest were given orally. The dose of Misoprostol depended upon the gestational age and the parity. Group B women received only Misoprostol. If the first cycle failed, then after a break of 24 hour, a second course of Misoprostol was started. Outcomes were measured in terms of induction to delivery interval and number of Misoprostol doses needed. Results: Maternal age, parity, gestational age and pre-induction bishop score were comparable in both the groups. Induction to delivery interval was shorter in the combination regimen. Total dose of Misoprostol needed was also less in the Group pretreated with Mifepristone. In group A 93.3% women delivered within 24 hours of first dose of misoprostol while in group B it was 80.5%. More women in group B required oxytocin. Regarding the complications during labor and delivery the two groups did not have major differences. Conclusions: Both regimens are safe for the induction of labour in late IUFD. However, the induction delivery interval and the dose of misoprostol needed was decreased by the pretreatment with Mifepristone

Industrialization and global warming (a brief case analysis of palm oil production : indonesia)

International audienceEver since the last decade palm oil production has increased many folds and so has the use of the oil in various industries. Indonesia is the largest producer of palm oil in the world and produced 32.5 million tonnes of crude palm oil in 2014, exporting almost 80% of it to yield a considerable USD$18.6 billion in revenue. The numbers went up even further with 36 million tonnes of palm oil produced in 2017 alone. Evidently, the surge has given major boost to the palm oil industry, which has become the biggest currency earner in Indonesia, considering it is only second to Malaysia as the world's largest exporter of palm oil. However, the flip side of it is the devastating effect it has on the environment. Destruction of forests has led to catastrophic effects on our ecosystem. Institutional investors as well as individuals play a key role in financing the expansion of palm oil industry and are able to minimize the destruction caused by deforestation. A large-scale promotion of land grab-free investment policies and practices is definitely a first step in the direction. Depletion of natural resources causing serious and immediate health issues, and in some cases, overall survival of communities is an act of human rights violation and must be dealt with seriousness and sensitivity

Determinants of organic food consumption : A systematic literature review on motives and barriers

During the last few decades, interest in organically produced food has steadily risen around the world. Consequently, academic interest in better understanding the different motives and barriers underlying organic food consumption has also increased. But, the scope of these published studies is both broad and fragmented. There is a lack of research that systematically examines and presents a comprehensive review of the different motives and barriers and their association with purchase decisions. The current study shows a systematic literature review of different motives and barriers and their association with purchase decisions in context to organic food. A total of 89 empirical studies was considered in the review. Two popular theoretical frameworks, namely the theory of consumption values and innovation resistance theory, were used to categorize the identified motives and barriers. The primary outcomes of this systematic literature review are: a) descriptive statistics on the selected studies; b) comprehensive summary of motives and barriers mentioned in selected studies using theory of consumption values and innovation resistance theory; c) classification of motives and barriers on consumer involvement, research design and country status; d) framework on the association between motives, barriers and purchase decisions; e) implications for scholars, managers, and policymakers interested in better understanding issues related to organic food consumption.Peer reviewe

Advancing the STMS genomic resources for defining new locations on the intraspecific genetic linkage map of chickpea (Cicer arietinum L.)

<p>Abstract</p> <p>Background</p> <p>Chickpea (<it>Cicer arietinum </it>L.) is an economically important cool season grain legume crop that is valued for its nutritive seeds having high protein content. However, several biotic and abiotic stresses and the low genetic variability in the chickpea genome have continuously hindered the chickpea molecular breeding programs. STMS (Sequence Tagged Microsatellite Sites) markers which are preferred for the construction of saturated linkage maps in several crop species, have also emerged as the most efficient and reliable source for detecting allelic diversity in chickpea. However, the number of STMS markers reported in chickpea is still limited and moreover exhibit low rates of both inter and intraspecific polymorphism, thereby limiting the positions of the SSR markers especially on the intraspecific linkage maps of chickpea. Hence, this study was undertaken with the aim of developing additional STMS markers and utilizing them for advancing the genetic linkage map of chickpea which would have applications in QTL identification, MAS and for <it>de novo </it>assembly of high throughput whole genome sequence data.</p> <p>Results</p> <p>A microsatellite enriched library of chickpea (enriched for <b>(</b>GT/CA)_nand (GA/CT)_nrepeats) was constructed from which 387 putative microsatellite containing clones were identified. From these, 254 STMS primers were designed of which 181 were developed as functional markers. An intraspecific mapping population of chickpea, [ICCV-2 (single podded) × JG-62 (double podded)] and comprising of 126 RILs, was genotyped for mapping. Of the 522 chickpea STMS markers (including the double-podding trait, screened for parental polymorphism, 226 (43.3%) were polymorphic in the parents and were used to genotype the RILs. At a LOD score of 3.5, eight linkage groups defining the position of 138 markers were obtained that spanned 630.9 cM with an average marker density of 4.57 cM. Further, based on the common loci present between the current map and the previously published chickpea intraspecific map, integration of maps was performed which revealed improvement of marker density and saturation of the region in the vicinity of <it>sfl </it>(double-podding) gene thereby bringing about an advancement of the current map.</p> <p>Conclusion</p> <p>An arsenal of 181 new chickpea STMS markers was reported. The developed intraspecific linkage map defined map positions of 138 markers which included 101 new locations.Map integration with a previously published map was carried out which revealed an advanced map with improved density. This study is a major contribution towards providing advanced genomic resources which will facilitate chickpea geneticists and molecular breeders in developing superior genotypes with improved traits.</p

Automated Knowledge Modeling for Cancer Clinical Practice Guidelines

Clinical Practice Guidelines (CPGs) for cancer diseases evolve rapidly due to new evidence generated by active research. Currently, CPGs are primarily published in a document format that is ill-suited for managing this developing knowledge. A knowledge model of the guidelines document suitable for programmatic interaction is required. This work proposes an automated method for extraction of knowledge from National Comprehensive Cancer Network (NCCN) CPGs in Oncology and generating a structured model containing the retrieved knowledge. The proposed method was tested using two versions of NCCN Non-Small Cell Lung Cancer (NSCLC) CPG to demonstrate the effectiveness in faithful extraction and modeling of knowledge. Three enrichment strategies using Cancer staging information, Unified Medical Language System (UMLS) Metathesaurus & National Cancer Institute thesaurus (NCIt) concepts, and Node classification are also presented to enhance the model towards enabling programmatic traversal and querying of cancer care guidelines. The Node classification was performed using a Support Vector Machine (SVM) model, achieving a classification accuracy of 0.81 with 10-fold cross-validation

Synthesis and evaluation of biological activity of some novel carbazole derivatives

Natural and synthetic carbazoles contains potent activity against inflammation. Some novel carbazole derivatives have been synthesized and also checked for activity against inflammation by using Carrageenan Induced Inflammation in Rat Paw Edema Model. Structures of synthesized carbazole derivatives have been confirmed on the basis of FT-IR, 1H NMR and elemental analysis. During the evaluation of biological activity, newly synthesized compounds (4a) and (4f) are found more potent against inflammation

Examining the relationship between social media analytics practices and business performance in the Indian retail and IT industries: The mediation role of customer engagement

Social media analytics (SMA) is a dynamic field which has received considerable attention from both academics and management practitioners alike. A significant number of the scholarly research currently being conducted in SMA, however, is conceptual. Industry experts know that SMA creates new opportunities for organisations who want to more strongly engage with their customers and improve business performance. However, the relationship between social media analytic practices (SMAP), customer engagement (CE), and business performance (BP) has not yet been sufficiently investigated from an empirical perspective. In order to gain a better understanding of the relationship between SMAP and BP and the mediation role of CE in that process, a large-scale survey was conducted among senior and mid-level managers as well as consultants in the Retail and information technology (IT) industries in India. Specifically, a structured closed-ended questionnaire was administered to managers and management consultants country-wide and gathered usable responses from 281 respondents holding positions such as: Digital Marketing Executive/Digital Marketing Specialist, Management Consultant, Analytics Manager, Customer Relationship Manager, Marketing Director, Engagement Manager, etc. who were in charge of digital marketing strategies in the respondent retail and IT organisations. The questionnaire addressed issues related to the way in which SMAP contribute to an enhanced business performance through the mediation role of customer engagement. Structural Equation Modelling was employed to analyse the received empirical data. On the basis of the findings our research concludes that there is a significant positive relationship between SMAP and BP mediated by CE in the Indian retail and IT industries