243 research outputs found
A study on implementation of WHO labour care guide in low-risk pregnant women and its impact on maternal and perinatal outcome
Background: WHO Labour Care Guide is a labour monitoring tool that is developed to support respectful maternity to provide positive childbirth experience with evidence-based recommendations.Methods: This is an observational study comparing WHO labour care guide with WHO modified partograph in low-risk pregnant women who are in active phase of labour. The study included 80 labouring women who are divided into two groups with 40 participants in each group. In group 1 WHO modified partograph was used and in group 2 WHO labour care guide was used as a tool to assess the course of labour. Maternal and perinatal outcomes were analysed for both the groups.Results: There is no significant difference in the caesarean section rates and instrumental deliveries between the two groups. There is a rise in the incidence of PPH and meconium-stained liquor in group 2 compared to group 1. None of the participants had labour beyond 12 hours. NICU admissions were higher in group 2.Conclusions: In our study, the WHO modified partograph was found as equivalent to WHO labour care guide in identifying prolonged labor. Also, maternal and perinatal outcomes were equally identified by both types of partograph. WHO labour care guide did not prove to be beneficial over WHO modified partograph in terms of maternal and perinatal outcomes in Indian parturient women
Sustainable Agriculture Practice using Machine Learning
The changing climate has caused unpredictable rainfall, unusual temperature drops, and heat waves, leading to considerable damage to the environment. Fortunately Machine Learning has provided effective tools to address global issues, including agriculture. By employing different ML algorithms, it is possible to solve the agricultural problems caused by these climate changes. The objective of this article is to develop a system for crop recommendation and disease detection in a plant. Publicly available datasets were used for both tasks. For the crop recommendation system, feature extraction was performed, and the dataset was trained using various Machine Learning algorithms, namely Decision Tree, Logistic Regression, Random Forest, Support Vector Machine (SVM) and Multilayer Perceptron. The random forest algorithm achieved an excellent accuracy of 99.31%.For the plant disease identification system, CNN architectures like - VGG16, ResNet50, and EfficientNetV2 - were trained and compared. Among these, EfficientNetV2 achieved high accuracy of 96.07%
Emulated Control System for a Nuclear Reactor
This paper discusses some of the instrumentation aspects of process control system developed for a nuclear power plant. Monitoring and controlling are the essential elements in the normal, abnormal and emergency operation of nuclear power plant. Through their sensors and transmitters, control systems measure process variables and inturn to control valves, motors and other electromechanical equipments of the nuclear plant. In this context, we have developed a Labview based such control system aimed at developing a real time system to deploy via IoT(Internet of Things). We represent here our conceptual design developed in Labview platform integrated with Arduino Uno microcontroller. The instrumentation and control system measures basic physical parameters like level, temperature and pressure using sensors. The monitoring and control of the temperature is done using virtual instrument software LabView, which acts as data acquisition module. It monitors performance and helps in controlling the nuclear plant operations to keep the process variables within the plant design limits and ensures the plant safety. The transmission of data from one end to another end is done through wireless technology ZigBee, to monitor and analyzeplant processes and equipment on the Labview platform
Preparative Regimen Dosing for Hematopoietic Stem Cell Transplantation in Patients with Chronic Kidney Disease: Analysis of the Literature and Recommendations
AbstractHematopoietic stem cell transplantation (HSCT) is a potentially life-saving therapy that has traditionally been associated with high treatment-related mortality due to direct regimen toxicity and a high incidence of graft-versus-host disease. Historically, pre-existing renal insufficiency has been considered an exclusion criterion for transplantation. The advent of nonmyeloablative conditioning regimens as a less toxic modality for treatment has made HSCT more accessible to elderly patients and patients with comorbidities, such as renal impairment. However, there is no clear standard for how to dose preparative regimens for patients with chronic renal impairment who undergo HSCT. This article serves as a review of the current literature to provide dosing recommendations for commonly used preparative agents in the setting of chronic kidney disease, with the aim of providing optimal dosing for this patient population
Pathways to mental health services for young people: a systematic review
Purpose: While early access to appropriate care can minimise the sequelae of mental illnesses, little is known about how youths come to access mental healthcare. We therefore conducted a systematic review to synthesise literature on the pathways to care of youths across a range of mental health problems. Methods: Studies were identified through searches of electronic databases (MEDLINE, PsycINFO, Embase, HealthSTAR and CINAHL), supplemented by backward and forward mapping and hand searching. We included studies on the pathways to mental healthcare of individuals aged 11–30 years. Two reviewers independently screened articles and extracted data. Results: Forty-five studies from 26 countries met eligibility criteria. The majority of these studies were from settings that offered services for the early stages of psychosis, and others included inpatient and outpatient settings targeting wide-ranging mental health problems. Generally, youths’ pathways to mental healthcare were complex, involved diverse contacts, and, sometimes, undue treatment delays. Across contexts, family/carers, general practitioners and emergency rooms featured prominently in care pathways. There was little standardization in the measurement of pathways. Conclusions: Except in psychosis, youths’ pathways to mental healthcare remain understudied. Pathways to care research may need to be reconceptualised to account for the often transient and overlapping nature of youth mental health presentations, and the possibility that what constitutes optimal care may vary. Despite these complexities, additional research, using standardized methodology, can yield a greater understanding of the help-seeking behaviours of youths and those acting on their behalf; service responses to help-seeking; and the determinants of pathways. This understanding is critical to inform ongoing initatives to transform youth mental healthcare
Our roles are not at ease: The work of engaging a youth advisory council in a mental health services delivery organization
Objectives: There is growing policy impetus for including youth voices in health services research and health system reform. This article examines the perspectives of professionals in a mental healthcare organization charged with engaging young people as advisors in service transformation. Methods: An institutional ethnography of a youth mental health services organization in Ontario, Canada, was conducted. Fieldwork consisted of twelve months of observation of meetings, interviews with youth advisors and adult service providers, with subsequent text analysis of engagement training and policy materials. The present article reports data from six adult professionals and related field observations. Results: Service providers’ efforts to engage youth were observed in three areas: a) supporting youth\u27s development as advisors, b) retaining and deepening youth participation while waiting for organizational change and c) embedding relationships between youth and adults at various levels within the system of care. This work denotes existing tensions between the values and ideals of youth engagement and the everyday demands of services delivery. Conclusion: In this setting, a fundamental dimension of this work consisted of negotiating tensions between the policy enthusiasm for engagement and its realization in a health services context. In describing these contextual challenges, we outline implications for consideration by other youth mental health services. Engagement efforts that are authentic and sustained require resources and flexibility, and leadership commitment to instil service users’ perspectives throughout multiple levels within the organization
The case for cautious interpretation and replication: Lead-time bias as a potential explanation for the link between duration of untreated psychosis and outcome
Cell-Type Specific Transcriptomic Profiling to Dissect Mechanisms of Differential Dendritogenesis
The establishment, maintenance and modulation of cell-type specific neural architectures are critically important to the formation of functional neural networks. At the neuroanatomical level, differential patterns of dendritic arborization directly impact neural function and connectivity, however the molecular mechanisms underlying the specification of distinct dendrite morphologies remain incompletely understood. To address this question, we analyzed global gene expression from purified populations of wild-type class I and class IV Drosophila melanogaster dendritic arborization (da) sensory neurons compared to wild-type whole larval RNA using oligo DNA microarray expression profiling. Herein we present detailed experimental methods and bioinformatic anal- yses to correspond with our data reported in the Gene Expression Omnibus under accession number GSE46154. We further provide R code to facilitate data accession, perform quality controls, and conduct bioinformatic analyses relevant to this dataset. Our cell-type specific gene expression datasets provide a valuable resource for guiding further investigations designed to explore the molecular mechanisms underlying differential patterns of neuronal patterning
Inhibition of poly (ADP-Ribose) polymerase-1 in telomerase deficient mouse embryonic fibroblasts increases arsenite-induced genome instability
10.1186/2041-9414-1-5Genome Integrity1
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