Post Corona Virus and 4th Industrial Revolution

The two apparent issues,Corona effect and 4th industrial revolution,are seemed to be totally irrelevant but can point out numerous similarities.Why and how?We may be able to point out how without any difficulty,but no one can identify why.This article starts with how first then mumble around why with no confirmed conclusion.The only concluding remark may be“It is a Historian’s duty,not the engineers nor scientists”.For Corona virus,the major catch phrase is“Separation”,physically and mentally,which can be related to the 4th industrial revolution,which this article foresees and no confirmation on“what will happen next”.

Discussion on Etiology and Pathogenesis of Corona Virus Disease 2019 from“Cold-dampness and Insidious Dryness”

Based on the characteristics of the epidemic situation and the authors’understanding of the related ancient books and documents,this paper explores the etiology and pathogenesis of Corona Virus Disease 2019(COVID-19)from 5 aspects:abnormal climate in"warm winter",unique geographical location,pathogenesis evolution of cold and dampness mixed with insidious dryness,transmission and change of"triple energizer"of toxic pathogens,and game between healthy Qi and toxic pathogens.Combined with the special treatment of traditional Chinese medicine(TCM),the purpose is to make a modest contribution to curbing the epidemic situation with TCM.

Polarization and absorption principle of corona virus in the electric field

The polarization and absorption principle of corona virus in the electric field is presented. It is expressed by the mathematic differential equation based on the physical model. According to the parameters of the dipole moment of virus, the electric field force exerted by the external electric field can be calculated. According to the parameters of size, mass and elastic modular, etc., the moment of inertia of virus can be calculated. According to the viscosity of tissues, the resistant force when virus rotates can be calculated. According to the balance condition of relaxation polarization, when the drive force equals to the resistant force, the rotating or swaying frequency of virus can be calculated. According to the heat producing condition such as friction, the temperature rising of virus can be calculated. When the temperature exceeds a certain threshold, virus would be inactivated. Through the calculation, it is found that the movement type of the virus depends on the intensity and frequency of the external electric field, which are the effects of "intensity widows" and "frequency windows". It also gives approximate calculation of the temperature rising of the virus according to this model. The vitro experiment confirms the reasonability of this model. The electric fields of different densities of a certain frequency are applied to the solution of avian infectious bronchitis virus. Through the toxicity experiment of the SPF chicken embryo, it is found that the toxicity is decreased exceedingly with a certain intensity of the applied voltage. EID50 decreases from 6.70/0.2 mL to 2.66/0.2 mL. It is proved that the avian infectious bronchitis virus can be inactivated with a certain low frequency and low-density electric field.

The latest research progress of the Corona Virus Disease 2019 mutant strain"Omicron"

Coronavirus disease 2019(COVID-19)that broke out at the end of December 2019 has been raging for 3 years,bringing unpredictable harm to the physical and mental health of all mankind and global economic development.The new type of coronavirus pneumonia is a new type of respiratory infectious disease with a high incidence and fatality rate caused by SARS-CoV-2.Up to now,hundreds of millions of people have been infected with new coronary pneumonia worldwide,and millions of people have died.Due to the specificity of the new coronavirus itself and its high mutation rate,a series of different new coronavirus variants have appeared,which has caused the new crown pneumonia epidemic to repeat.Recently,the World Health Organization(WHO)announced a new variant"omicron"(omicron,B.1.1.529),and declared that the mutant strain may be highly infectious,antibody tolerant and highly resistant to vaccines.This article briefly reviews the latest research progress of the"omicron"variants.

Corona virus disease 2019-associated liver injury in cold regions

The corona virus disease 2019(COVID-19)pandemic has created a global health and economic crisis.Our studies uncovered that in addition to respiratory symptoms,liver damage is also common in COVID-19 patients;however,the cause of liver damage has not been fully elucidated.In this article,we summarize the clinical manifestations and pathological features of COVID-19 reported in published relevant studies and delineate the etiology and pathogenesis of COVID-19-related liver injury.We speculate that cold stimulation may be associated with COVID-19-related liver injury,which should be considered in clinical decision-making and treatment of COVID-19 in cold regions.

Bibliometric analysis of nursing studies on Corona Virus Disease 2019 in China

Objective:To analysis the current status and research focus of Corona Virus Disease 2019(COVID-19)nursing research in China.Methods:China National Knowledge Infrastructure(CNKI),WanFang,Chinese Scientific Journals Database(VIP)and Chinese Biomedical Literature Service System(SinoMed)databases were searched for the literatures on COVID-19 nursing published from January 1,2020,to May 15,2020.The Bibliographic Items Co-occurrence Matrix Builder was used to perform bibliometric analysis on journals,authors,keywords,etc.of the articles,and SPSS 23.0 was utilized to cluster analysis of high-frequency keywords.Results:A total of 458 related articles and 429 first authors were extracted.There articles were published most in the journal of Chinese General Practice Nursing(12.25%).33 high-frequency keywords were extracted such as“COVID-19”,“nurse”,etc.,accounting for 50.19%of the total frequency.Co-word cluster analysis obtained four research hotspots:the psychological status and psychological care of medical staff fighting COVID-19;the nursing strategy of critically ill patients with COVID-19 and the psychological experience of nurses against COVID-19;operating room emergency management and infection prevention during epidemic;the triage management of novel coronavirus infection in fever clinic.Conclusion:The psychological status,the nursing strategy on critically ill patients,the psychological experience of nurses,operating room emergency management and infection prevention,the triage management of novel coronavirus infection in fever clinic had become hot topics when facing the COVID-19 epidemic.

Image Processing of Corona Virus Using Interferometry

A new method of image processing of corona virus based on two and multiple beam interference is suggested. The method is based on measuring the fringe shift with respect to the background interference pattern. The interested application of the corona virus image in confocal microscopy is getting depth information since it has the property of optical sectioning. An accurate measurement of the fringe shift is obtained using multiple beam interference since contrast is higher than that for two beam interference. The refractive index of the corona virus image is deduced from the fringe shift. A MATLAB code is used for the processing of all images.

A network pharmacology approach to explore the mechanism of action of Yiqi Fumai lyophilized injection in the treatment of novel coronavirus disease

Background:Shengmai decoction,which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.Yiqi Fumai lyophilized injection(YQFM)is a modern Chinese medicine preparation of the Shengmai decoction.The mechanism of its intervention at the molecular level in the severe stage of COVID-19 remains unclear.Therefore,it is necessary to investigate the mechanism of YQFM in the treatment of patients with severe COVID-19.Methods:The corresponding target genes of the main active ingredients in YQFM and COVID-19 were obtained by using multiple databases and literature retrieval.A protein-protein interaction network was constructed,and enrichment analysis of the target was performed using Cytoscape 3.8.1.Lastly,the docking of all the identified compounds with angiotensin-converting enzyme II was confirmed by applying molecular docking technology.Results:YQFM has anti-inflammatory effects on RAW267.4 macrophages.The main active compounds of YQFM are all effective anti-inflammatory agents,and these active compounds also show beneficial physiological functions,such as anti-oxidation,anti-bacterial,and anticancer activities.Gene Ontology analysis showed enrichment in the following pathways:lipopolysaccharides,interleukins,NF-kappa B,interleukin-2 and others,revealing that YQFM may play a role in the treatment of patients with severe COVID-19 through these pathways.Conclusion:YQFM has multicomponent and multitarget characteristics,and it could reduce lung injury by inhibiting inflammatory reactions,promoting antiviral activities,and regulating immunity,among other functions,to treat patients with severe COVID-19.

Interpretation of the Traditional Chinese Medicine portion of the diagnosis and treatment protocol for corona virus disease 2019(Trial Version 7)

The TCM protocol in the Diagnosis and Treatment Protocol for corona virus disease 2019(COVID-19)(Trial Version 7) has been updated from previous versions. The protocol was formulated under the direct leadership of the National Administration of Traditional Chinese Medicine, based on the experience of a panel of experts, supported by evidence from fever clinics and from the outcomes of emergency(EM) observation rooms and inpatients throughout China(especially in Wuhan, Hubei Province) in combination with the latest scientific research results and data. The present interpretation of the TCM protocol is based on an overall understanding of the revised content, and aims to guide and standardize its clinical application to provide a reference for clinicians.

Treatment of pulmonary fibrosis in one convalescent patient with corona virus disease 2019 by oral traditional Chinese medicine decoction:A case report

After one-month of oral treatment with traditional Chinese medicine decoction,without using other drugs,the lung inflammatory exudate,pulmonary fibrosis and quality of life of a 61-year-old female patient with corona virus disease 2019(COVID-19)were significantly improved.No recurrence or deterioration of the patient’s condition was found within seven weeks of treatment and follow-up,and no adverse events occurred,indicating that oral Chinese medicine decoction was able to improve the pulmonary inflammation and fibrosis in a patient recovering from COVID-19,but further research is still needed.

Short-and long-term predictions of novel corona virus using mathematical modeling and artificial intelligence methods

This paper proposes spread prediction of novel corona virus outbreak using different compartmental models and artificial intelligence(AI)methods.Real data for several months is collected from the Ministry of Health(MOH)website,Kingdom of Saudi Arabia and two compartmental models,namely SIR(susceptible,infectious,recovered)and SEIRD(susceptible,exposed,infectious,recovered,dead)are utilized to best fit the data.AI methods are well suited for short-and long-term stochastic forecasts.Keeping in view the inherent advantages of AI methods,adaptive neuro-fuzzy inference system(ANFIS)models are trained using the collected data to replicate the dynamic behavior of the COVID-19 spread in Kingdom of Saudi Arabia.The prediction comparison for COVID-19 spread is made between the compartmental and ANFIS models for both short-and long-term forecasts of the experimental data.From the presented results,ANFIS-based models show superior performance as compared to compartmental models.

Review of immunological responses to porcine coronaviruses and implications on population based control strategies in epidemic and endemic infections

Five major porcine coronaviruses （COVs） have been identifed which cause severe gastrointestinal （GI） and respiratory disease in pigs. They include transmissiblegastroenteritis （TGEV）, porcine epidemic diarrhea virus （PEDV）, porcine deltacoronavirus, porcine respiratory coronavirus, and porcine hemagglutinating encephalo-myelitis. These diseases, especially TGEV and PEDV, have caused epidemics in Europe, Asia, and the Ameri-cas over the past 50 years, causing signifcant economic losses to swine producers. As pigs are a major protein source worldwide there is great interest in understanding, controlling, and preventing these diseases. These disea-ses have no cure, and current vaccines are not fully protective. On-farm prevention and biosecurity are difficult to enforce and have not stopped the spread of these diseases between herds. Recent advances in the immunology of porcine COVs has revealed that the immune response to porcine COVs shares many similarities with the response to human COVs, leading to increased interest in pigs as models for human disease. Highlights of these advances include the key role of local antigen presenting cells in the gastrointestinal tract in stimulating a protective immune response. This understanding has lead to new proposed vaccines. Advances in the understanding of the ways the viruses evade and degrade the host immune system have also lead to novel proposed therapies. Many of these therapies are in the early development stages, as resear-chers attempt to create effcacious, cost-effective, and practical therapies for these diseases.

Prevention and Control Strategies of Nosocomial Infection and Effectiveness Evaluation in a Tertiary Teaching Hospital during the Epidemic of COVID-19

Objective: To evaluate the role of prevention and control strategies for nosocomial infection in a tertiary teaching hospital during the sudden outbreak of Corona Virus Disease 2019 (COVID-19). Methods: The hospital initiated an emergency plan involving multi-departmental defense and control. It adopted a series of nosocomial infection prevention and control measures, including strengthening pre-examination and triage, optimizing the consultation process, improving the hospital’s architectural composition, implementing graded risk management, enhancing personal protection, and implementing staff training and supervision. Descriptive research was used to evaluate the short-term effects of these in-hospital prevention and control strategies. The analysis compared changes in related evaluation indicators between January 24, 2020 and February 12, 2020 (Chinese Lunar New Year’s Eve 2020 to lunar January 19) and the corresponding lunar period of the previous year. Results: Compared to the same period last year, the outpatient fever rate increased by 1.85-fold (P P Conclusion: The nosocomial infection prevention and control strategies implemented during this specific period improved the detection and control abilities for the COVID-19 source of infection and enhanced the compliance with measures. This likely contributed significantly to avoiding the occurrence of nosocomial infection.

Dosage and utilization of dexamethasone in the management of COVID-19: A critical review

BACKGROUND The severe respiratory manifestations observed in severe coronavirus disease 2019(COVID-19)cases are often associated with an excessive inflammatory response.Dexamethasone,a synthetic glucocorticoid,exerts its anti-inflammatory effects by inhibiting the transcription of pro-inflammatory genes and suppressing the activity of various immune cells.This mechanism has implications for mitigating the cytokine storm observed in severe COVID-19 cases.Early on in the pandemic,the Recovery Collaborative working group showed a mortality benefit of using dexamethasone in decreasing mortality in patients with COVID-19 requiring respiratory support.However,the optimal dosage of corticosteroids remains debatable.Several studies that compare different doses of dexamethasone in COVID-19 exist,but the results are conflicting.AIM To review the latest evidence regarding dosage,safety,and efficacy of dexamethasone in severe COVID-19.METHODS We followed preferred reporting items for systematic reviews and meta-analysis guidelines.A detailed literature search was conducted across PubMed,Google Scholar,and Medline to include publications up to March 2024.Our keywords included“COVID-19”“SARS-CoV-2”“dexamethasone”“corticosteroid”“steroid”and“glucocorticoid”-along with their combinations.We employed the Cochrane Risk of Bias Tool and the Newcastle-Ottawa scale to evaluate the integrity and potential of bias in the included studies.A meta-analysis was conducted using a random-effects model,assessing pooled odds ratios and mean differences,with heterogeneity gauged by the I2 statistic and theχ^(2) tests.RESULTS No statistical differences were found in 28-day all-cause mortality[pooled odds ratio(OR)=1.109,95%CI:0.918-1.340],60-day all-cause mortality(OR=0.873,95%CI:0.744-1.024;I2=47.29%),mean length of hospital stay(mean difference=-0.08 days,95%CI:-0.001 to 0.161)and adverse events(OR=0.877,95%CI:0.707-1.087).CONCLUSION Differing doses of corticosteroids have no clinical implications on mortality,mean length of hospital stay,and adverse events in COVID-19 patients.Additional research is required in patients requiring invasive or noninvasive ventilation.

The impact of the cor on avirus disease 2019 Checkfol pandemic on elective urological procedures in Australia

Objective:To investigate the changes in elective private urological procedures in Australia during the coronavirus disease 2019 pandemic.Methods:Data were extracted from publicly available datasets from Medicare Ben efits Schedule using item nu mbers assig ned to each comm only performed urological interve ntion.These procedures were divided into three groups:Oncological therapeutic,diagnostic,and non-oncological therapeutic procedures.A smoothing model,based on the historic procedure numbers from 2017 to 2019,was used to forecast monthly number of procedures performed in each category between January 2020 and June 2020.These forecasted models were compared with reported figures.Results:A total of 108169 procedures were performed between January 2020 and June 2020 based on the Medicare Ben efits Schedule item nu mbers listed.There was a sign ifica nt reducti on(perce nt-age cha nge)in total procedures performed in April 2020(22.6%,95%con fide nee in terval[CI]:-28.7%to-15.4%)and May 2020(-33.2%,95%CI:-37.5%to 28.3%).There was a significant reduction in oncological therapeutic,non-oncological therapeutic,and diagnostic procedures performed in April 2020 and May 2020(p<0.05).These nu mbers did not in elude procedures performed in public sector.Conclusion:There was a significant reduction in total urological procedures(including diagnostic,oncological,and non-on cological)performed in mon ths of April 2020 and May 2020 during time of federal restrictions.Both public and private healthcare sectors need to be supported in the up-comi ng mon ths to preve nt further delays in treatme nt and poorer clinical outcomes.

A Theoretical Investigation of the SARS-CoV-2Model via Fractional Order Epidemiological Model

We propose a theoretical study investigating the spread of the novel coronavirus(COVID-19)reported inWuhan City of China in 2019.We develop a mathematical model based on the novel corona virus’s characteristics and then use fractional calculus to fractionalize it.Various fractional order epidemicmodels have been formulated and analyzed using a number of iterative and numerical approacheswhile the complications arise due to singular kernel.We use the well-known Caputo-Fabrizio operator for the purposes of fictionalization because this operator is based on the non-singular kernel.Moreover,to analyze the existence and uniqueness,we will use the well-known fixed point theory.We also prove that the considered model has positive and bounded solutions.We also draw some numerical simulations to verify the theoretical work via graphical representations.We believe that the proposed epidemic model will be helpful for health officials to take some positive steps to control contagious diseases.

Expert Consensus on Prevention and Treatment of COVID-19 Infection in Patients with Lung Cancer

Corona virus disease 2019(COVID-19)infection has become a major public health issue affecting human health.The main goal of epidemic prevention and control at the current stage in China is to“protect people’s health and prevent severe cases”.Patients with lung cancer who receive antitumor therapy have low immunity,and the risk of severe illness and death once infected is much higher than healthy people,so they are vulnerable to COVID-19 infection.At present,less attention has been paid to the prevention and treatment of COVID-19 infection in patients with lung cancer in domestic guidelines and consensus.Based on the published data in China and abroad,we proposed recommendations and formed expert consensus on the vaccination of COVID-19,the use of neutralizing antibodies and small molecule antiviral drugs for patients with lung cancer,for physician’s reference.

Indian medicinal plants are effective in the treatment and management of COVID-19

Indian medicinal plants are referred to as the“nectar of life”owing to their phytochemicals and bioactive complexes that are beneficial in treating diseases.Coronavirus disease 2019(COVID-19)is a global health issue without any proper medication.The indigenous plants of India can be exploited to control the precise signs of SARS-CoV-2.The Ministry of AYUSH(Ayurveda,Yoga and Naturopathy,Unani,Siddha,and Homeopathy)has advised routine usage of medicinal plants for COVID-19.Medicinal plants like Zingiber officinalis,Azadirachta indica,Ocimum sanctum,Nigella sativa,Withania somnifera,Curcuma longa,Piper nigrum,Allium sativum,Tinospora cordifolia,etc.have immunity-boosting,antiviral,antibacterial,antioxidant and anti-inflammatory actions that can suppress and treat symptoms of COVID-19.In vitro,in vivo as well as in silico validation,these phytochemicals can help us to manage and treat COVID-19 disease.This integration of traditional knowledge in the prophylaxis of corona infection and current skills validating it for the development of precise and powerful therapeutic approaches will more efficiently resolve different clinical aspects of COVID-19.The review focuses on both traditional and emergent methods to prevent and treat COVID-19 with various Indian medicinal plants along with their phytochemicals.

Multi-label Emotion Classification of COVID–19 Tweets with Deep Learning and Topic Modelling

The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to be aware of the views of the community so as to monitor the severity of the spread of the outbreak.The public opinions are been shared enormously in microblogging med-ia like twitter and is considered as one of the popular sources to collect public opinions in any topic like politics,sports,entertainment etc.,This work presents a combination of Intensity Based Emotion Classification Convolution Neural Net-work(IBEC-CNN)model and Non-negative Matrix Factorization(NMF)for detecting and analyzing the different topics discussed in the COVID-19 tweets as well the intensity of the emotional content of those tweets.The topics were identified using NMF and the emotions are classified using pretrained IBEC-CNN,based on predefined intensity scores.The research aimed at identifying the emotions in the Indian tweets related to COVID-19 and producing a list of topics discussed by the users during the COVID-19 pandemic.Using the Twitter Application Programming Interface(Twitter API),huge numbers of COVID-19 tweets are retrieved during January and July 2020.The extracted tweets are ana-lyzed for emotions fear,joy,sadness and trust with proposed Intensity Based Emotion Classification Convolution Neural Network(IBEC-CNN)model which is pretrained.The classified tweets are given an intensity score varies from 1 to 3,with 1 being low intensity for the emotion,2 being the moderate and 3 being the high intensity.To identify the topics in the tweets and the themes of those topics,Non-negative Matrix Factorization(NMF)has been employed.Analysis of emotions of COVID-19 tweets has identified,that the count of positive tweets is more than that of count of negative tweets during the period considered and the negative tweets related to COVID-19 is less than 5%.Also,more than 75%nega-tive tweets expressed sadness,fear are of low intensity.A qualitative analysis has also been conducted and the topics detected are grouped into themes such as eco-nomic impacts,case reports,treatments,entertainment and vaccination.The results of analysis show that the issues related to the pandemic are expressed dif-ferent emotions in twitter which helps in interpreting the public insights during the pandemic and these results are beneficial for planning the dissemination of factual health statistics to build the trust of the people.The performance comparison shows that the proposed IBEC-CNN model outperforms the conventional models and achieved 83.71%accuracy.The%of COVID-19 tweets that discussed the different topics vary from 7.45%to 26.43%on topics economy,Statistics on cases,Government/Politics,Entertainment,Lockdown,Treatments and Virtual Events.The least number of tweets discussed on politics/government on the other hand the tweets discussed most about treatments.

Improving Resilience Models of Health Systems before COVID-19 Pandemic in Côte d’Ivoire

The resilience of health systems is a major issue and challenge in patients’ safety. This security refers to the ability to adapt, approach, anticipate or change after a shock. These shocks generally concern large-scale situations such as the COVID-19 pandemic. To cope with these shocks, certain risk management tools have appeared in healthcare centres. Among these new tools are those called “resilience engineering”. However, failure to master some of them sometimes generates erroneous results that lead to even more serious consequences in decision-making. This article proposes an Ivorian resilience model for managing the coronavirus pandemic. The model is the combination of Bayesian and neural techniques with multilayer perceptron in order to best assist Ivorian specialists in their decision-making.