Interprofessional education: Nurse – medic simulation initiatives

INTRODUCTION Interprofessional (IP) simulation improves team performance and communication skills1,2 IP simulation was established with Cardiff University medical and adult nursing students as part of IP education3. The objective was to evaluate students’ attitudes towards IP team working. METHODS Students were invited to attend simulation sessions of up to 3.5 hours duration and included a range of scenarios: stroke, seizure, cardiac arrest, sepsis using high fidelity mannequins in a simulated ward environment. A facilitator led post session debrief was conducted. Students were asked to complete the 10 item SPICE-R evaluation tool at the end of each session. RESULTS Evaluation is ongoing, of the n=77 evaluations received so far, the majority of students strongly agreed IP education was beneficial in enhancing their education 69% (53/77), practice 68% (52/77), role understanding 62% (48/77), team-working 69% (53/77), increasing patient satisfaction 77% (59/77) and improving health outcomes 74%(52/77). Approximately half of students agreed health professionals should collaborate on interprofessional teams 49% (38/77) and their role within an IP team is clearly defined 57% (44/77). Students similarly agreed they understood others’ roles 43% (33/77) and clinical placements are an ideal place for health professional students to interact 43% (33/77). CONCLUSION We created a nurturing environment for students to work interprofessionally. Successful interprofessional team working helps patient outcomes. More work is needed to ensure students understand each other’s role and to explore further opportunities for IP simulation and evaluate the longer-term outcomes and impact of IP simulation on patient care. References 1.Bulijac-Samardzic et al. Interventions to improve team effectiveness within health care: a systematic review of the past decade. Human Resource Health. 2020; 18(1):2 doi.org/10.1186/s12960-019-0411-3 2.Blackmore A, Kasfiki EV and Purva M. Simulation-based education to improve communication skills: a systematic review of the past decade. Human Resource Health. 2020; 18(1):2 doi.org/10.1186/s12960-019-0411- C3. 3. WHO (World Health Organisation) (2010) Framework for Action on Interprofessional Education and Collaborative Practice, Framework for action on interprofessional education & collaborative practice (who.int) [Accessed 13.1.23]

Highly Sensitive and Wearable ZnO-Graphene Nanocomposite-Based Strain Sensors for Human Motion Detection

Flexible electronic sensors have garnered considerable interest in wearable health-monitoring devices and electronic skin. In this work, a simple method for the fabrication of flexible zinc oxide-graphene nanoplatelet (ZnO-GNP) nanocomposite-based strain sensors has been proposed. The sensing element was deposited on the polydimethylsiloxane (PDMS) substrate by a facile spin and peel strategy to yield flexible sandwiched sensors. The effect of varying the blending ratio of the constituents on the electromechanical responses of the sensors was studied. The sensors exhibited high stretchability, good sensitivity, high reversibility, and superior stability under tensile and bending loads. The flexible nanocomposite sensors were able to detect extensive human movements such as bending of the elbow, wrist, and finger and also subtle motions such as eye blinking, wrist pulse, and phonation. Owing to the facile and economical fabrication method, high sensitivity, and good reversibility, the ZnO-GNP sensors have a high prospect of application in wearable health-monitoring devices, robotics, and various forms of human-machine interface

GCAC: galaxy workflow system for predictive model building for virtual screening

Abstract Background Traditional drug discovery approaches are time-consuming, tedious and expensive. Identifying a potential drug-like molecule using high throughput screening (HTS) with high confidence is always a challenging task in drug discovery and cheminformatics. A small percentage of molecules that pass the clinical trial phases receives FDA approval. This whole process takes 10–12 years and millions of dollar of investment. The inconsistency in HTS is also a challenge for reproducible results. Reproducible research in computational research is highly desirable as a measure to evaluate scientific claims and published findings. This paper describes the development and availability of a knowledge based predictive model building system using the R Statistical Computing Environment and its ensured reproducibility using Galaxy workflow system. Results We describe a web-enabled data mining analysis pipeline which employs reproducible research approaches to confront the issue of availability of tools in high throughput virtual screening. The pipeline, named as “Galaxy for Compound Activity Classification (GCAC)” includes descriptor calculation, feature selection, model building, and screening to extract potent candidates, by leveraging the combined capabilities of R statistical packages and literate programming tools contained within a workflow system environment with automated configuration. Conclusion GCAC can serve as a standard for screening drug candidates using predictive model building under galaxy environment, allowing for easy installation and reproducibility. A demo site of the tool is available at http://ccbb.jnu.ac.in/gca

Management of Organizational Information Through Web Portal

Today knowledge has become a crucial asset. Knowledge Management is a tool that nurtures and helps such assets to grow. It helps in effective utilisation of intellectual capital and enhancement of the organization’s performance. It involves blending the company’s internal & external information and transforms it into actionable knowledge. Organizations are turning to knowledge management initiatives and technologies to leverage their knowledge resources. It is important that everyone focuses on ownership of intellectual capital and utilize them efficiently for development as well as competitive edge with the help of appropriate tool. A Knowledge Management System (KMS) based on the state-of-the-art Information Technology (IT) makes that possible. Many experts believe that in future the main source of competitive advantage will be organization’s ability to leverage corporate knowledge, its distribution and to learn faster than others. Knowledge Management is an integrated systematic approach to identify, manage and share organization’s information assets available in databases, documents, policies, and procedures, as well as unarticulated expertise and experience held by individual workers. The idea behind KM is to capture not only explicit factual information but also the tacit information and knowledge that exist in an organization. The objective is to achieve the mission of the organization by sharing all types of knowledge among the employees of the organization. There are also lots of challenges as experts retire or leave organizations. Importance of knowledge database to capture expertise available for future reference and competitive edge has been felt by all. The paper is based on work of design and development of software “Information Portal at RDCIS”, developed for RDCIS – Research and Development centre of for Iron and Steel, SAIL. Today, knowledge is the strategic key resource. This paper is based on the challenges faced in the implementation of Knowledge Management system at RDCIS, SAIL. This paper focuses on the different forms of knowledge’s available in R&D Units, features, access mechanism, security mechanism, its implementation in different departments, and the platform used for implementing KMS

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Not AvailableAgriculture remains as a prime source of women’s livelihood and women remain as the backbone of agricultural workforce. In spite of women making up the prime workforce in agricultural production and processing in India, they lag well behind men in ownership of assets, access to agri-production resources and decision making.This paper explores the gender gap in access to agri-production resources and decision making in order to suggest strategies that can be useful in ensuring gender-equitable access to agri-production resources and decision making. A multistage, simple random sampling was used to select 80respondentscomprising 40 men and 40 women farmers from four villages covering two blocks of Khordha district in Odisha. The study reveals that men farmers predominate in accessing agri-production resources as compared with women. The chi square (p=0.0065) on difference between gender and access to agri-production resources affirms that it is strongly influenced by the gender. It is suggested that gender sensitisation, women education and land rights to women are to be prioritised in development initiatives to improve women’s access to agri-production resources. There was wide variation in decision-making pattern among men and women related to crop and livestock production aspects. Six variables, namely, gender, education, land holding, gender of family head, family type, family size and access to production resources were significantly contributed towards variations in the decision-making pattern.Not Availabl