ABSTRACT
Artificial Intelligence (AI) aspires to impersonate human coherent functions. It is bringing an oscillation to healthcare field, pushed greatly by ever-increasing presence of healthcare data and swift progression of analytics techniques. AI can be applicable to either structured or unstructured healthcare data. AI techniques uses different Machine Learning (ML) techniques for structured data and Deep Learning (DL) as well as Natural Language Processing (NLP) techniques for unstructured data. Natural Language Processing (NLP), a specially designed branch of AI, concentrates on interpretation and manipulation of manually generated unstructured (spoken or written) data. In this chapter, we are going to cast light on the emergence of NLP techniques in healthcare domain in current scenario. At present, Healthcare domain is triggering millions of patient's health records in either structured or unstructured form. With help of NLP and DL techniques, these can be processed into Electronic Health Record (EHR), a well-structured form. The authors tries to answer motivations behind use of NLP in healthcare, Issues and challenges, applications of NLP and how beneficial NLP can prove in healthcare in future. This chapter will also help us understanding the landscape of COVID-19 Information with use of NLP techniques to fight against this deadly COVID-19 Crisis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
ABSTRACT
Purpose: E-commerce and social media technologies can significantly benefit the food and beverage industry by reducing costs, streamlining supply activities, and, most importantly, engaging users in active interaction and enhancing social presence. This research aims to propose a model to examine the role of trust and social presence on loyalty in the food and beverage industry. Moreover, the mediating role of trust is the link between social presence and loyalty examined in this study. Design/methodology/approach: A survey has been conducted to examine the structural model. The research model is tested using structural equation modelling (PLS-SEM). Findings: The result indicated the effect of Social presence and Trust in social media on Customer loyalty in the context of online shopping. Our finding contributes remarkable insights into the food and beverage industry, particularly in the COVID-19 era, as more consumers buy through e-commerce platforms. Originality/value: This study expands the understanding of the role of the managers of social commerce websites in maintaining customer loyalty. Hence, the social commerce site managers can use this finding to develop strategies for building customer trust and, ultimately, customer loyalty. © 2022, Emerald Publishing Limited.
ABSTRACT
Objective: The purpose of this study is to compare the parameters of sperm analysis in a group of healthy sperm donors before and after Coronavirus Disease 2019 (COVID-19) infection. Material(s) and Method(s): The study included semen analysis from eligible sperm donors aged 25-56 who had abstinence of 3-9 days and provided sperm before and after COVID-19 infection. Data were obtained from the patients who applied to our infertility clinic for semen analysis or in vitro fertilization (IVF) treatment. Ejaculate volume (mL), average concentration (M/mL), percent motility (percent), and total motile sperm count (M) were the primary outcomes. Data were compared and analyzed by paired samples t test and Wiloxon's test. Result(s): A total of 13 qualified sperm donors met inclusion criteria for this study. There was no significant difference in concentration, motility, or total motile sperm count in the patients' semen parameters before and after the infection (p>0.05) (Table 1). [Formula presented] Conclusion(s): COVID-19, a novel coronavirus disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has sparked a global pandemic that hit the world in 2020, offering a huge challenge to healthcare systems and affected populations (1). One of the known effects of SARS-CoV-2 infection is invasion or damage to the male reproductive system. To enter host cells, the virus uses the transmembrane serine protease 2 (TMPRSS2) and the angiotensin-converting enzyme 2 (ACE2) receptor (2). Furthermore, ACE2 is extensively expressed in testicular tissue, and SARS-CoV-2 has been found in semen (3). SARS-CoV-2 can also infect cells through the host cell receptor CD147 (basigin, BSG), a transmembrane glycoprotein crucial for the blood-testis barrier's integrity (BTB) (4). Sperm quality measures were not significantly different in qualified, otherwise healthy sperm donors prior to COVID infection and after recovery. Impact Statement: SARS-CoV-2 infection has no impact on sperm concentration, motility, or total motile sperm count in healthy, eligible donors. REFERENCES: 1. 2. 3. 4. Copyright © 2022
ABSTRACT
Purpose: E-commerce and social media technologies can significantly benefit the food and beverage industry by reducing costs, streamlining supply activities, and, most importantly, engaging users in active interaction and enhancing social presence. This research aims to propose a model to examine the role of trust and social presence on loyalty in the food and beverage industry. Moreover, the mediating role of trust is the link between social presence and loyalty examined in this study. Design/methodology/approach: A survey has been conducted to examine the structural model. The research model is tested using structural equation modelling (PLS-SEM). Findings: The result indicated the effect of Social presence and Trust in social media on Customer loyalty in the context of online shopping. Our finding contributes remarkable insights into the food and beverage industry, particularly in the COVID-19 era, as more consumers buy through e-commerce platforms. Originality/value: This study expands the understanding of the role of the managers of social commerce websites in maintaining customer loyalty. Hence, the social commerce site managers can use this finding to develop strategies for building customer trust and, ultimately, customer loyalty. © 2022, Emerald Publishing Limited.