Perceived Organizational Support and Reduced Job Performance During COVID-19.

Current research aims to identify a framework to enhance the performance of employees in government sector healthcare during the COVID-19 pandemic. Perceived organizational support was identified to enhance employees' performance through the intervention of a psychological process containing 3 states, that is, psychological safety, felt obligation and organization-based self-esteem. Job performance is considered as planned behavior, and psychological links are developed on the basis of the theory of planned behavior. This study is quantitative and used an empirical survey. Respondents of the study were nursing staff of government hospitals in Pakistan. The data were collected during the first wave of COVID-19 in Pakistan through online distributed questionnaires, and the data were analyzed using Smart PLS. Results show that perceived organizational support positively affects job performance during the COVID-19 crisis, and all the psychological states mediate the relationship. The study results are helpful for decision-makers of public sector organizations dealing with the most common problem of performance reduction during COVID-19. Results are also helpful for policymakers to address reduced performance in most government hospitals. Future research should consider antecedents of the perception of organizational support in the context of government and private hospitals.

Employing Natural Language Processing as Artificial Intelligence for Analyzing Consumer Opinion Toward Advertisement.

With the advent and integration of technology in business, marketers started investing in numerous media platforms to influence the consumer's sentiments. Artificial intelligence has been proved as one of the innovative tools of digitalization to change consumer's media habits. Owing to the growing trends of e-commerce, the traditional advertising model is insufficient. Therefore, advertisers are taking advantage of artificial intelligence technology to meet current requirements. Thus, a deeper understanding of product advertisement with reference to consumer sentiments and its implications need to be established. The current research depicts the contribution of artificial intelligence to analyze the consumers' attention, cognition, and emotion. The target product was Samsung Galaxy. Researcher of the current study has employed Think-aloud procedure for data analysis. Tweets dataset was divided into 2 categories. For international consumers' sentiments 30,877 tweets whereas for Pakistani consumers' sentiments tweets dataset was 26,834. For data analysis, authors used Nvivo for generating theme. The Nvivo produced word cloud. The word cloud generated with Pakistani tweets revealed that consumer attachment with Samsung product is based on emotional and attention and the preferred features of Samsung products are linked with emotional and attention. In contrary to that rest of the world tweets unfolded that emotion, attention, and cognition make consumer preferences while selecting Samsung products. This study is useful to the cellular companies for targeting across the world population. The consumer preference varies while selecting cell phones. This study will provide a better idea to cell phone companies for manufacturing consumer oriented cell phones to get better results. Moreover, future research should add more countries separate data and generate a comparative study between developed countries consumer and developing countries consumer preferences. In addition to companies with better insights of consumer can highlight the most attractive features of cell phone in their advertisements.

Lung cancer screening beyond low-dose computed tomography: the role of novel biomarkers.

Lung cancer is the most common and lethal malignancy in the world. The landmark National lung screening trial (NLST) showed a 20% relative reduction in mortality in high-risk individuals with screening low-dose computed tomography. However, the poor specificity and low prevalence of lung cancer in the NLST provide major limitations to its widespread use. Furthermore, a lung nodule on CT scan requires a nuanced and individualized approach towards management. In this regard, advances in high through-put technology (molecular diagnostics, multi-gene chips, proteomics, and bronchoscopic techniques) have led to discovery of lung cancer biomarkers that have shown potential to complement the current screening standards. Early detection of lung cancer can be achieved by analysis of biomarkers from tissue samples within the respiratory tract such as sputum, saliva, nasal/bronchial airway epithelial cells and exhaled breath condensate or through peripheral biofluids such as blood, serum and urine. Autofluorescence bronchoscopy has been employed in research setting to identify pre-invasive lesions not identified on CT scan. Although these modalities are not yet commercially available in clinic setting, they will be available in the near future and clinicians who care for patients with lung cancer should be aware. In this review, we present up-to-date state of biomarker development, discuss their clinical relevance and predict their future role in lung cancer management.

Extracorporeal membrane oxygenation to support whole-lung lavage in pulmonary alveolar proteinosis: salvage of the drowned lungs.

Pulmonary alveolar proteinosis is a rare lung disease characterized by accumulation of lipoproteinaceous material within the alveoli. Therapeutic whole-lung lavage (WLL) under general anesthesia is the standard treatment in patients with progressive symptomatic disease. Severe hypoxemic respiratory failure is uncommon, yet when present poses a technical challenge to performing WLL without further compromising respiratory status. Rarely, hyperbaric chamber or extracorporeal membrane oxygenation (ECMO) has been utilized to perform WLL to manage severe hypoxemia, with venovenous ECMO being used more often. We present a case of hypoxemic and hypercarbic respiratory failure from pulmonary alveolar proteinosis successfully managed by placing the patient on venoarterial ECMO to facilitate the performance of bilateral WLL.