Factors Impacting Resilience of Women Entrepreneurs in India in the Face of COVID-19

Although enough research has been carried out on factors inspiring women to start and operate business, there is a need to assess the role of various factors impacting resilience of Indian women entrepreneurs. Women entrepreneurs all over the world are struggling, adapting diverse strategies and innovating in the face of COVID-19, to fight against the crisis and bouncing back to their normal stage. The present study aims at identifying the direct relationships among selected factors in influencing the resilience of women entrepreneurs. The sample for the study comprised 396 women entrepreneurs from different regions of India. This is a survey-based study; a self-administered questionnaire was used for the collection of data. Analysis of the data collected was done using analysis of moment structures based structural equation modelling. Findings of the analysis state a significant and positive influence of entrepreneurial characteristics, resourcefulness, networking, adaptability and continuity in forming the resilient attitude of women entrepreneurs when faced with a crisis situation. The study can be useful to women entrepreneurs, organizations, government and other institutions extending support to entrepreneurs.

Looking back at the 2008-crisis lesson to help Vietnam’s stock market hold its attraction to investors

Implementing new economic plans, fiscal and monetary policies to help the economy recover in the new “normal stage” is important, but limiting the rise of inflation must not be neglected.

PENGGUNAAN GOOGLE CLASSROOM BAGI GURU SEKOLAH DASAR NEGERI 170 PALEMBANG SEBAGAI PLATFORM PEMBELAJARAN DARING DIMASA PANDEMI COVID-19

Indonesia is currently facing the Covid-19 pandemic situation, where we are entering the New Normal stage. This New Normal stage changes the process of educational activities, conventional education is changed to New Normal era education. New Normal era education in the implementation of learning involves the use of technology, technology in delivering material to students in their respective educational units. The Ministry of Education and Culture of Indonesia officially conveys on the official website kemdikbud.go.id about Guidelines for the Implementation of Learning in the Academic Year and the New Academic Year in the New Normal Period. yellow, orange, and red zones are prohibited from conducting face-to-face learning in education units. Education units in these zones continue to learn by learning from home. This community service for SD Negeri 170 Palembang teachers aims to introduce the Google Classroom application as a means of supporting learning activities. The method in this service activity is training. The results obtained from this training activity on the use of Google Classroom are that it can increase teachers' understanding of technology that can be utilized optimally in conducting teaching and learning activities.

Maintenance Optimization of a 2-Component Swappable Series System Using the Delay-Time Concept

In the 2-component swappable series system, the two components undertake tasks with different loads and degrade at different speeds. To prolong the lifetime of the series system, these two components are swapped in the operating process of the system in practice. This is common in the maintenance of duplexing steelmaking systems, tires of vehicles, and steel rails in curves. The failure process of each component in the system is modeled based on a two-stage delay-time concept and divided into two stages: normal and defective. Inspections are carried out periodically on the system. Two components may be swapped once at an inspection time that the two components are both in the normal stage. Due to the increase or decrease of loads, normal and defective time distributions after the swap are assumed to be different from those prior to the swap. The system is subjected to failure, inspection, and age-based renewals. The number of inspections over the maximum usage time of the system and the swap time are optimized jointly by minimizing the expected cost per unit time in a long run. A numerical example is presented to demonstrate the model.

EXPERIENCES AND IMPLICATIONS OF COVID-19 PREVENTION AND CONTROL IN CHINA

Chinese government has implemented a series of prevention and control strategies and measures in the face of COVID-19, the spread of the local epidemic has been basically stopped, prevention and control of the epidemic has entered a normal stage. This paper analyzes and summarizes the successful experience of Chinese government in combating the COVID-19 epidemic since January 2020, and puts forward relevant suggestions, adapt to local conditions and apply them to the current fight against the epidemic. It is hoped to provide useful reference for fighting the epidemic under the new situation and contribute wisdom to jointly winning the fight against the virus.

A deep learning-based model for screening and staging pneumoconiosis

This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pneumoconiosis screening and staging using chest radiographs. The model, based on chest radiographs, was developed using a training cohort and validated using an independent test cohort. Every image in the training and test datasets were labeled by experienced radiologists in a double-blinded fashion. The computational model started by segmenting the lung field into six subregions. Then, convolutional neural network classification model was used to predict the opacity level for each subregion respectively. Finally, the diagnosis for each subject (normal, stage I, II, or III pneumoconiosis) was determined by summarizing the subregion-based prediction results. For the independent test cohort, pneumoconiosis screening accuracy was 0.973, with both sensitivity and specificity greater than 0.97. The accuracy for pneumoconiosis staging was 0.927, better than that achieved by two groups of radiologists (0.87 and 0.84, respectively). This study develops a deep learning-based model for screening and staging of pneumoconiosis using man-annotated chest radiographs. The model outperformed two groups of radiologists in the accuracy of pneumoconiosis staging. This pioneer work demonstrates the feasibility and efficiency of AI-assisted radiography screening and diagnosis in occupational lung diseases.

D-Dimers Level as a Possible Marker of Extravascular Fibrinolysis in COVID-19 Patients

Background and Objective: Host defence mechanisms to counter virus infection include the activation of the broncho-alveolar haemostasis. Fibrin degradation products secondary to extravascular fibrin breakdown could contribute to the marked increase in D-Dimers during COVID-19. We sought to examine the prognostic value on lung injury of D-Dimers in non-critically ill COVID-19 patients without thrombotic events. Methods: This study retrospectively analysed hospitalized COVID-19 patients classified according to a D-Dimers threshold following the COVID-19 associated haemostatic abnormalities (CAHA) classification at baseline and at peak (Stage 1: D-Dimers less than three-fold above normal; Stage 2: D-Dimers three- to six-fold above normal; Stage 3: D-Dimers six-fold above normal). The primary endpoint was the occurrence of critical lung injuries on chest computed tomography. The secondary outcome was the composite of in-hospital death or transfer to the intensive care unit (ICU). Results: Among the 123 patients included, critical lung injuries were evidenced in 8 (11.9%) patients in Stage 1, 6 (20%) in Stage 2 and 15 (57.7%) in Stage 3 (p = 0.001). D-Dimers staging at peak was an independent predictor of critical lung injuries regardless of the inflammatory burden assessed by CRP levels (OR 2.70, 95% CI (1.50–4.86); p < 0.001) and was significantly associated with increased in-hospital death or ICU transfer (14.9 % in Stage 1, 50.0% in Stage 2 and 57.7% in Stage 3 (p < 0.001)). D-Dimers staging at peak was an independent predictor of in-hospital death or ICU transfer (OR 2.50, CI 95% (1.27–4.93); p = 0.008). Conclusions: In the absence of overt thrombotic events, D-Dimers quantification is a relevant marker of critical lung injuries and dismal patient outcome.

Effectiveness of Saline Washout Technique in the Management of Chemotherapy Extravasations Among Cancer Patients

Cancer cells display uncontrolled growth invasion and sometimes metastatic spread to other location in the body via lymph nodes or blood. Cancer affects people are mostly in elder ages peoples with risk for most type increasing with age cancer caused about 13% of all human death 2008(7.6million). While improved the cancer patients first important for administer the chemotherapy. But they may cause many of side effects in main side effects is “EXTRAVASATION in” extravasations is infiltration or leakage of intravenous chemotherapeutic agents. It mostly affected in extremities, into the local tissue surrounding the administration site may result of local tissue damage or extravasations. Drugs that is associated with severe necroes is when extravasations are known as vesicants. Whereas those associated with less severe burning or inflammation are known as irritation. The aim of the present study was conducted to assess the effect of saline washout technique in the management of chemotherapy extravasation among cancer patients. A pre-experimental design was chosen to assess the effectiveness of saline washout technique on chemotherapy extravasations. The present was conducted at SMCH with 100 male and female who come under inclusion criteria and they were selected by non-probability convenience sampling technique. The demographical variables was collected by using Semi-structured questionnaire and extravasations was assessed by INS (Infusion nurses society) infiltration and extravasation scale. The result revealed the pretest results show that 30% had mild stage, 31% had moderate stage, 24% had severe stage and 15% had very severe stage on chemotherapy extravasation among cancer patients. The post-test data revealed that 35% had normal stage, 24%hadmildstage,21%hadmoderatestage, 14% had severe stage and 6% had very severe stage on chemotherapy extravasation among cancer patients. The result revealed that saline washout technique was more effective in the management of chemotherapy extravasation among cancer patients.