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The Best Game in Town -- We Don't Sell Plain Vanilla -- Behind the Curtain -- We Eat Our Own Cooking -- Running into a Burning Building -- There Is No Formula -- Never React, Always Respond -- If You Don't Ask, You Don't Win -- How to Make More -- Desperation, Not Hunger -- The Library -- Stack the Deck -- The Edge -- Conclusion: The Age of Big Finance.

(Iii) Antimetabolite-Resistant Mutants(iv) Mutants Resistant to Nutritional Repression; (v) Permeability Mutants; (vi) Mutants Producing New Antibiotics; Genetic Recombination; Protoplast Fusion; Improvement of Microbial Processes by Genetic Engineering; Novel Genetic Technologies; References; Chapter 3: Media Design; Nutritional Requirements of Microorganisms; Growth Media; Types of Media; 1. Based on Consistency: Solid, Semisolid and Liquid Media; 2. Based on Composition: Defined and Undefined Media; 3. Special Purpose Media; Role of Media in Fermentation; Media Preparation.

This study investigates different genres in Indian book market to establish a clear understanding of dominating genres in the market. The focus of the study is in tandem with two groups: fiction and non‐fiction books on the basis of 52 weeks' bestsellers list. The model employs a point system constructed by mapping performance score of different genres. By using these performance scores, Kruskal‐Wallis H test and Mann–Whitney U test are performed. The results show that there is a significant difference between each genre but one particular genre stands out the most in both the categories. Romance in Fiction category and Self‐help in non‐fiction category dominates the Indian book market as shown by the study. This evidence has a far‐reaching implication toward the understanding of the dynamics of genre preferences in India.

Objective: The objective of present study was to assess the treatment pattern in the COVID-19 patients. Methods: The present study was a hospital-based prospective observational conducted in Government Medical College Kathua (UT Jammu and Kashmir) on COVID-19 positive confirmed cases from December 2020 to January 2021. Consent was taken from patients who were willing to participate in the study. The details of presenting complaints and treatment received by them and outcome of management was recorded and evaluated from their treatment files. Results: A total 56 patients of COVID-19 were enrolled for the study. Majority of them were males (60.71%) and maximum of the patients between 18 and 60 years constituted 69.6%. COPD (28.5%), severe anemia (21.42%), and diabetes mellitus and hypertension (19.64% each) were common comorbidities. Sore throat, dry cough, and breathlessness were common presenting symptoms. Pattern of antibiotics and antivirals revealed that azithromycin was frequently prescribed (87.5%) followed by hydroxychloroquine (44.64%), linzolid (21.42%), ceftriaxone (19.64%), and remdesivir (14.28%). Majority of patients (>50%) were treated with steroids, while all patients received multivitamins and Vitamin C (100%) and nearly 40% were administered zinc therapy. Conclusions: Azithromycin, hydroxyquinine, remdesivir, and steroids were frequently prescribed in patients of COVID-19. Steroids were administered in oral, inhaler or in injection forms. Multivitamins including Vitamin C were given to all patients. Most of patients had comorbidities including COPD, diabetes mellitus type 2 and severe anemia.

The emergence and evolution of social media and technology poses challenges in the prevention of child sexual exploitation and abuse. This issue is not successfully addressed by the existing techno-legal apparatus and is posing risks to the children. In India, CSAM files are illegal and constitute an offense under Section 67(B), IT Act 2000. The technology has also made available various tools and techniques, to the predators who are always ready to groom and exploit teenagers & circulate their indecent images / videos. This research work has been carried out to assess a qualitative estimate of the quantum of Child Sexual Abuse Material (CSAM) circulated in Indian Cyberspace using peer-to-peer technology. Although CSAM is legally banned, many unique IP addresses were found to be distributing a total of 27,00,08,502 disturbing material depicting the sexual abuse of children distributed over 7 torrents spreading over 29 States and 5 Union Territories.

BACKGROUND: The association of workplace factors on mental health of healthcare workers (HCWs) during the COVID-19 pandemic needs to be urgently established. This will enable governments and policy-makers to make evidence-based decisions. This international study reports the association between workplace factors and the mental health of HCWs during the pandemic. METHODS: An international, cross-sectional study was conducted in 41 countries. The primary outcome was depressive symptoms, derived from the validated Patient Health Questionnaire-2 (PHQ-2). Multivariable logistic regression identified factors associated with mental health outcomes. Inter-country differences were also evaluated. RESULTS: A total of 2,527 responses were received, from 41 countries, including China (n=1,213; 48.0%), UK (n=891; 35.3%), and USA (n=252; 10.0%). Of all participants, 1343 (57.1%) were aged 26 to 40 years, and 2021 (80.0%) were female; 874 (34.6%) were doctors, and 1367 (54.1%) were nurses. Factors associated with an increased likelihood of depressive symptoms were: working in the UK (OR=3.63; CI=[2.90-4.54]; p<0.001) and USA (OR=4.10; CI=[3.03-5.54]), p<0.001); being female (OR=1.74; CI=[1.42-2.13]; p<0.001); being a nurse (OR=1.64; CI=[1.34-2.01]; p<0.001); and caring for a COVID-19 positive patient who subsequently died (OR=1.20; CI=[1.01-1.43]; p=0.040). Workplace factors associated with depressive symptoms were: redeployment to Intensive Care Unit (ICU) (OR=1.67; CI=[1.14-2.46]; p=0.009); redeployment with perceived unsatisfactory training (OR=1.67; CI=[1.32-2.11]; p<0.001); not being issued with appropriate personal protective equipment (PPE) (OR=2.49; CI=[2.03-3.04]; p<0.001); perceived poor workplace support within area/specialty (OR=2.49; CI=[2.03-3.04]; p<0.001); and perceived poor mental health support (OR=1.63; CI=[1.38-1.92]; p<0.001). CONCLUSION: This is the first international study, demonstrating that workplace factors, including PPE availability, staff training pre-redeployment, and provision of mental health support, are significantly associated with mental health during COVID-19. Governments, policy-makers and other stakeholders need to ensure provision of these to safeguard HCWs' mental health, for future waves and other pandemics.

BACKGROUND: The association of workplace factors on mental health of healthcare workers (HCWs) during the COVID-19 pandemic needs to be urgently established. This will enable governments and policy-makers to make evidence-based decisions. This international study reports the association between workplace factors and the mental health of HCWs during the pandemic. METHODS: An international, cross-sectional study was conducted in 41 countries. The primary outcome was depressive symptoms, derived from the validated Patient Health Questionnaire-2 (PHQ-2). Multivariable logistic regression identified factors associated with mental health outcomes. Inter-country differences were also evaluated. RESULTS: A total of 2527 responses were received, from 41 countries, including China (n = 1213; 48.0%), UK (n = 891; 35.3%), and USA (n = 252; 10.0%). Of all participants, 1343 (57.1%) were aged 26 to 40 years, and 2021 (80.0%) were female; 874 (34.6%) were doctors, and 1367 (54.1%) were nurses. Factors associated with an increased likelihood of depressive symptoms were: working in the UK (OR = 3.63; CI = [2.90–4.54]; p < 0.001) and USA (OR = 4.10; CI = [3.03–5.54]), p < 0.001); being female (OR = 1.74; CI = [1.42–2.13]; p < 0.001); being a nurse (OR = 1.64; CI = [1.34–2.01]; p < 0.001); and caring for a COVID-19 positive patient who subsequently died (OR = 1.20; CI = [1.01–1.43]; p = 0.040). Workplace factors associated with depressive symptoms were: redeployment to Intensive Care Unit (ICU) (OR = 1.67; CI = [1.14–2.46]; p = 0.009); redeployment with perceived unsatisfactory training (OR = 1.67; CI = [1.32–2.11]; p < 0.001); not being issued with appropriate personal protective equipment (PPE) (OR = 2.49; CI = [2.03–3.04]; p < 0.001); perceived poor workplace support within area/specialty (OR = 2.49; CI = [2.03–3.04]; p < 0.001); and perceived poor mental health support (OR = 1.63; CI = [1.38–1.92]; p < 0.001). CONCLUSION: This is the first international study, demonstrating that workplace factors, ...