Non-Hodgkin's lymphoma complicated with human coronavirus HKU1 pneumonia: A case report and literature review.

Objective: To analyze the clinical manifestations, diagnostic methods and treatment process of the patients with non-Hodgkin's lymphoma complicated with human coronavirus(HCoV)-HKU1 pneumonia and improve the clinical medical staff's awareness of the disease, and to reduce the occurrence of clinical adverse events. Method(s): The clinical data of a patient with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia with hot flashes and night sweats, dry cough and dry throat as the main clinical features who were hospitalized in the hospital in January 2021 were analyzed, and the relevant literatures were reviewed and the clinical manifestations and diagnosis of HCoV-HKU1 were analyzed. Result(s): The female patient was admitted to the hospital due to diagnosed non-Hodgkin's lymphoma for more than 2 months. The physical examination results showed Karnofsky score was 90 points;there was no palpable enlargement of systemic superfical lymph nodes;mild tenderness in the right lower abdomen, no rebound tenderness, and slightly thicker breath sounds in both lungs were found, and a few moist rales were heard in both lower lungs. The chest CT results showed diffuse exudative foci in both lungs, and the number of white blood cells in the urine analysis was 158 muL-1;next generation sequencing technique(NGS) was used the detect the bronchoalveolar lavage fluid, and HCoV-HKU1 pneumonia was diagnosed. At admission, the patient had symptoms such as dull pain in the right lower abdomen, nighttime cough, and night sweats;antiviral treatment with oseltamivir was ineffective. After treatment with Compound Sulfamethoxazole Tablets and Lianhua Qingwen Granules, the respiratory symptoms of the patient disappeared. The re-examination chest CT results showed the exudation was absorbed. Conclusion(s): The clinical symptoms of the patients with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia are non-specific. When the diffuse shadow changes in the lungs are found in clinic, and the new coronavirus nucleic acid test is negative, attention should still be paid to the possibility of other HCoV infections. The NGS can efficiently screen the infectious pathogens, which is beneficial to guide the diagnosis and treatment of pulmonary infectious diseases more accurately.Copyright © 2023 Jilin University Press. All rights reserved.

A selectivity-enhanced colloidal crystal array for ribavirin sensing based on the synergistic effect of covalent and non-covalent interactions

Ribavirin is an important antiviral with demonstrated activity against coronaviruses such as severe acute respiratory syndrome coronavirus and coronavirus disease 2019 virus. However, abuse of ribavirin will cause great environmental damage and threaten human health owing to its reproductive toxicity and teratogenicity. Therefore, an innovative detection method is demanded for simple and sensitive detection of ribavirin. This work reports an imprinted colloidal crystal array (ICCA) for ribavirin sensing. The building blocks of the ICCA are ribavirin imprinted spheres, which possess superior binding efficiency toward ribavirin. Benefiting from the highly ordered structure, the ICCA exhibits optical properties which change upon binding ribavirin. The changes in reflectance wavelength enable a fast and label-free detection of ribavirin between 21 and 245 μmol L−1. Moreover, the sensor shows excellent selectivity for ribavirin detection in river water. Overall, all the results reported in this work demonstrate that the ICCA should be a promising detection tool for antivirals. © 2023 Society of Industrial Chemistry. © 2023 Society of Industrial Chemistry.

Association of interleukin-6 and CD4+ T cells and two-week prognosis of patients with COVID-19: a predictive role.

OBJECTIVE:  The aim of this study was to determine the association of inflammation and immune responses with the outcomes of patients at various stages, and to develop risk stratification for improving clinical practice and reducing mortality. PATIENTS AND METHODS: We included 77 patients with primary outcomes of either death or survival. Demographics, clinical features, comorbidities, and laboratory tests were compared. Linear, logistic, and Cox regression analyses were performed to determine prognostic factors. RESULTS: The average age was 59 years (35-87 years). There were 12 moderate cases (16.2%), 42 severe cases (54.5%), and 23 critical cases (29.9%); and 41 were male (53.2%). Until March 20, 68 cases were discharged (88.3%), and nine critically ill males (11.7%) died. Interleukin-6 (IL-6) levels on the 1st day were compared with IL-6 values on the 14th day in the severe and the critically ill surviving patients (F=4.90, p=0.034, ß=0.35, 95% CI: 0.00-0.10), and predicted death in the critically ill patients (p=0.028, ß=0.05, OR: 1.05, 95% CI: 1.01-1.10). CD4+ T-cell counts at admission decreased the hazard ratio of death (p=0.039, ß=-0.01, hazard ratio=0.99, 95% CI: 0.98-1.00, and median survival time 13.5 days). CONCLUSIONS: The present study demonstrated that IL-6 levels and CD4+ T-cell count at admission played key roles of predictors in the prognosis, especially for critically ill patients. High levels of IL-6 and impaired CD4+t cells are seen in severe and critically ill patients with COVID-19.

Prevention behaviors and influencing factors among Wuhan middle school students during COVID⁃19 epidemic

Objective: To investigate how well do the middle school students in Wuhan know and perform COVID-19 prevention behaviors during the epidemic, and to identify the influencing factors that impact the wellness of students' performance on mask-wearing, hand washing, and other health-related behaviors. Method: We surveyed 21 middle schools in Wuhan using a self-developed questionnaire, evaluated the students' prevention behaviors, and used logistic regression to identify the influencing factors. Results: We investigated 6 858 students with an average age of (14. 5±1. 5) years, including 3 584 male students (accounting for 52. 3%). Grade, parents' education, and submission time are significantly related to the wellness of the three types of health behaviors (P<0. 05). Junior high school students showed a better performance in handwashing and other health-related behaviors than senior high school students (P<0. 05). Parents' education showed a significant impact on students' prevention behaviors in all aspects (P<0. 05). Conclusion: Enhancement is needed for the education of prevention behaviors among middle school students. Schools should pay more attention to students whose parents are of the lower level of education. © 2023 Editorial Board of Medical Journal of Wuhan University. All rights reserved.

Food and Beverage (F&B) Consumption Behavior Changes During COVID-19 in the Taiwan's Aging Society

This study examines the relationships among perceived value, trust, electronic word of mouth (eWOM), and online purchasing intention to determine Food and Beverage (F&B) consumption behavior changes in Taiwan's aging society since the onset of COVID-19. The 305 valid online questionnaires received from people above the age of 55 who had prior online purchasing experience of F&B products in the past year in Taiwan have been obtained to implement data analysis through confirmatory factor analysis and structural equation model. The results reveal that eWOM positively affects trust, both eWOM and trust positively affect perceived value, and perceived value positively affects online purchasing intention. While eWOM and trust do not have a direct positive effect on online purchasing intention, perceived value has a mediation effect on the relationship between eWOM and online purchasing intention and the relationship between trust and online purchasing intention. Lastly, this study proposes pragmatic suggestions to merchants to better adapt to ever-changing consumer behavior. © 2023,International Journal of Business. All Rights Reserved.

The Mechanisms of Luteolin in Treating COVID-19 Based on Bioinformatics Analysis and Molecular Docking

Luteolin is a natural flavonoid that has a variety of pharmacological activities, such as anti-inflammatory, anti-allergic, anti-bacterial, anti-viral, apoptosis inhibition, cell autophagy regulation, and anti-tumor activity. It is one of the main ingredients of an expert-recommended herbal formula for the prevention and treatment of coronavirus disease 2019 (COVID-19). This suggests that luteolin has strong pharmacological effects on the prevention and treatment of COVID-19. The aims of this study were to identify the molecular targets of luteolin and to infer the possible mechanisms by which it exerts its pharmacological effects. The GSE159787 data set was obtained from the Gene Expression Omnibus online database, and differentially expressed genes were analyzed. There were 22 upregulated differentially expressed genes enriched in the COVID-19 signaling pathway, suggesting that the upregulation of these genes may be closely related to the occurrence of COVID-19. Molecular docking results showed that luteolin had strong binding efficiency to 20 of these 22 key genes. Six of these genes (CFB, EIF2AK2, OAS1, MAPK11, OAS3, and STAT1) showed strong binding activity. Luteolin can regulate the COVID-19 signaling pathway by combining with these targets, which may have a therapeutic effect on COVID-19. © Wolters Kluwer Health, Inc. All rights reserved.

Clinical Efficacy of Modified Sanxiaoyin in Treatment of Mild or Moderate COVID-19 Patients:Based on Retrospective Analysis.

Objective: To retrospectively analyze the clinical data of 52 patients with coronavirus disease-2019 COVID-19 and explore the clinical efficacy of modified Sanxiaoyin on mild/moderate COVID-19 patients. Method(s): The propensity score matching method was used to collect the clinical data of mild or moderate COVID-19 patients enrolled in the designated hospital of the Second Hospital of Jingzhou from December 2019 to May 2020. A total of 26 eligible patients who were treated with modified Sanxiaoyin were included in the observation group,and the 26 patients treated with conventional method were the regarded as the control. The disappearance of clinical symptoms,disappearance time of main symptoms,efficacy on traditional Chinese medicineTCMsymptoms,hospitalization duration,laboratory test indicators,and CT imaging changes in the two groups were compared. Result(s): The general data in the two groups were insignificantly different and thus they were comparable. After 7 days of treatment,the disappearance rate of fever,cough, fatigue,dry throat,anorexia,poor mental state,and poor sleep quality in the observation group was higher than that in the control groupP<0.05,and the difference in the disappearance rate of expectoration and chest distress was insignificant. For the cases with the disappearance of symptoms,the main symptomsfever, cough,fatigue,dry throat,anorexia,chest distressdisappeared earlier in the observation group than in the control groupP<0.01. After 7 days of treatment,the scores of the TCM symptom scale of both groups decreasedP<0.01,and the decrease of the observation group was larger that of the control groupP<0.01. All patients in the two groups were cured and discharged. The average hospitalization duration in the observation group12.79+/-2.68dwas shorter than that in the control group15.27+/-3.11dP<0.01. The effective rate in the observation group92.31%,24/26was higher than that in the control group76.92%,20/26. After 7 days of treatment,the lymphocyteLYMcount increasedP<0.05,and white blood cellWBCcount and neutrophilNEUTcount decreased insignificantly in the two groups. Moreover,levels of C-reactive protein CRP,erythrocyte sedimentation rateESR,and procalcitoninPCTreduced in the two groups after treatmentP<0.01and the reduction in the observation group was larger than that in the control group P<0.01. Through 7 days of treatment,the total effective rate on pulmonary shadow in the observation group 90.00%,18/20was higher than that in the control group77.27%,17/22P>0.05and the improvement of lung shadow in the observation group was better than that in the control groupP<0.01. Conclusion(s):Modified Sanxiaoyin can significantly alleviate fever,cough,fatigue,anorexia,chest distress,poor sleep quality,and other symptoms of patients with mild or moderate COVID-19,improve biochemical indicators,and promote the recovery of lung function. This paper provides clinical evidence for the application of modified Sanxiaoyin in the treatment of mild or moderate COVID-19.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

Multiplex and Ultrasensitive Detection of Severe Acute Respiratory Syndrome Coronavirus 2 and Influenza A/B Nucleocapsid Proteins Based on Nanometer-Sized Core-Shell Superparamagnetic Antifouling Probes

Infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A (Flu A), and influenza B (Flu B) show similar clinical symptoms, such as cough, fever, and dyspnea, but patients infected by these viruses should be treated differently. The rapid and accurate diagnosis of infections caused by SARS-CoV-2, Flu A or Flu B is critical during the influenza season. Herein, we synthesized core-shell magnetic particles (MNPs) with excellent antifouling properties and applied them in the MNP-based immunochromatographic test (MICT) for simultaneous detection of SARS-CoV-2, Flu A, and Flu B nucleocapsid(N) proteins in 20 min. Two kinds of carboxyl -modified MNPs, MNP@pMBAA and MNP@Si-SA, were prepared and evaluated as probes in the MICT. Among them, the MNP@ pMBAA showed lower nonspecific adsorption of proteins and low background noise in the application in MICTs. Particularly, the MNP@pMBAA50 bead-based MICT strip exhibited the highest signal-to-noise ratio for SARS-CoV-2 N protein detection with a limit of detection (LOD) of 0.072 ng/mL. Moreover, the proposed MICT strip demonstrated a minimal cross-reactivity and a broad linear dynamic detection range under a magnetic assay reader in the simultaneous detection of SARS-CoV-2, Flu A, and Flu B N proteins with relative LOD values of 0.0086, 0.012, and 0.018 ng/mL, respectively. The results demonstrated that the synthesized MNPs showed great potential for use as MICT probes for sensitive and multiplex detection of biomarkers in the development of point-of-care testing systems.

Can the Narrow and Broad Money Supply Gap Be Used as an Investment Indicator for the Stock Market?

This study uses the golden cross and death cross formed by the gap between the narrow and broad money growth rates as threshold variables to estimate the threshold model and test the causal relationship between money supply and stock prices in eight emerging market economies (EMEs) in Asia;the sample periods are from January 2000 to December 2020. The results show a high-positive, bi-directional relationship between the money supply and stock prices in the golden cross regime. On the other hand, the money supply has a negative, one-way causality on stock prices in the death cross regime. We also conducted a robustness test during the COVID-19 spread, and the result shows that the mechanism still applies, but the effectiveness is reduced. Thus, our contribution is discovering the golden cross and death cross information formed by narrow and broad money, informing stock market investment.

Probit-Based Discrete-Continuous Choice Model to Explore the Relationship Between Car Ownership and Commuters' Non-Work Activity Durations in Xiaoshan District of Hangzhou, China

In China, a developing country, the car ownership level is much lower than that in developed countries, but transportation policies have been implemented to discourage car ownership and mitigate traffic congestion. However, car ownership (considered as car availability in this paper, meaning that an individual has access to a household private car) may influence travelers' well-being. To highlight the interrelation between car ownership and travelers' well-being, this paper develops a probit-based discrete-continuous model to analyze the relationship between car ownership and the duration of commuters' three major non-work outdoor activities (Act1: shopping and dining;Act2: leisure and entertainment;and Act3: visiting relatives or friends) in Xiaoshan District, Hangzhou, China. Empirical results indicate strong effects of individual and household socio-demographics, built environment attributes, and work-related characteristics on the car ownership decision and the duration of three non-work activities. The analysis shows positive correlations in unobserved factors between the car ownership decision and the duration of Acts1-3, indicating a mutually promotive relationship. Similarly, negative correlations among the duration of Acts1-3 show that non-work activities' duration is mutually substitutive. These findings will help to better understand commuters' car ownership decisions and non-work outdoor activity behavior restricted by fixed work schedules in developing countries, which can, in turn, better evaluate the impact of transportation policies (such as car ownership restriction) on travel demand as well as well-being, and provide decision support for the formulation of transportation policies.

Can Consumer Credit Stimulate Consumer Confidence? Evidence from the Time-Varying Aspect

This study discusses the nexus between consumer credit (CC) and consumer confidence (CF) in the case of China with a bootstrap rolling-window causality test. The new empirical results demonstrate that CC improves CF in specific periods by loosening liquidity constraints and increasing consumer power temporarily. Meanwhile, a negative link is also found, which can be explained by policy adjustment and financial instabilities. On the contrary, CF negatively influences CC in some periods, reflecting consumers' attitudes toward the future would change borrowing behaviors. But this relationship would be disrupted by government intervention and public events such as the COVID-19 pandemic. The contribution is that time-varying, multiple-directional and dynamic causalities are captured, which enriches the theoretical framework between CC and CF. Therefore, the government must design and adjust loaning policies against specific circumstances and transmit positive signs to consumers. Future study needs to pay attention to different types of CC and try to reveal their heterogeneous influences on CF. In addition, the effect evaluation for CC policy is also another focus in the next research.

Analysis of influencing factors of blood glucose levels in diabetic patients during epidemic of COVID-19.

Objective: To investigate the blood glucose control of diabetic patients during the Coronavirus disease 2019 (COVID-19) epidemic, and to explore the factors affecting blood glucose. Method(s): Three hundred and fifty patients with diabetes mellitus hospitalized in the Endocrinology Department of the Second Affiliated Hospital of Air Force Military Medical University from 2017 to 2019 were selected, and we send questionnaires (a self-made questionnaire containing 39 questions, Zung anxiety self-assessment scale, Zung depression self-assessment scale) to the patients through WeChat group. After the effective questionnaires were collected, the patients were divided into good blood glucose control group (fasting blood glucose <=7 mmol/L and 2 h postprandial blood glucose <=10 mmol/L) and poor blood glucose control group (fasting blood glucose>7 mmol/L and/or 2 hours postprandial blood glucose>10 mmol/L). Chi square test or Fisher exact probability method and t test were used to compare the differences between the two groups. In Multi-factor logistic regression, the backward regression method was performed. Result(s): A total of 310 questionnaires were collected, 4 of which did not meet the requirements were eliminated, and a total of 306 valid questionnaires were analyzed. There were 108 cases (35.3%) in the well-controlled group and 198 cases (64.7%) in the poorly controlled group. Compared with well-controlled group, there was a higher percentage of patients with aged >=45 years, diabetes course >=5 years, combined with chronic complications of diabetes, weekly exercise time during the epidemic period<150 min,weekly monitoring of blood glucose frequency <=1 to 2 times and sleep disorders during the epidemic, anxiety, and depression in poorly controlled group, and there were statistically significant differences (P<0.05).The above 8 factors with P<0.05 were included in the logistic regression model. Diabetes course >=5 years, weekly exercise time during the epidemic<150 min, sleep disturbance during the epidemic, weekly monitoring of blood glucose frequency <= 1 to 2 times, depression were risk factors for poor blood glucose control (P<0.05). Conclusion(s): During the epidemic period, the blood glucose level of diabetes patients was generally high. The factors that affected blood glucose control included a long course of diabetes, short exercise time, low monitoring frequency of blood glucose, sleep disorders, and depression.Copyright © 2020 by the Chinese Medical Association.

The Role of Crowdfunding in Delivering Entrepreneurship Within the Hospitality Sector: A Case Study Analysis

Over the last decade, crowdfunding, has emerged as a hugely disruptive force within the financial landscape worldwide. Crowdfunding, the process of raising relatively small sums of money from the crowd, via the internet, enables entrepreneurs, particularly at the innovative and new start-ups stage, to access much needed funding, overcoming a "funding gap”. The growth of crowdfunding has been phenomenal. In 2019, an estimated €14 billion was crowdfunded worldwide (Statistia 2020) and the forecast is for the sector to grow to €30 billion by 2025 (Mordo Intelligence, 2020). Initially, crowdfunding gained prominence through funding creative and artistic projects, but over the last number of years, this appeal has spread across a diverse range of businesses and sectors (Bradford 2012 and Research and Markets 2022). In the wake of the 2007-2008 financial crisis and more recently the COVID-19 pandemic, crowdfunding offers entrepreneurs and businesses access to much needed seed funding, but also non-financial benefits in the form of market and product testing, media exposure and customer feedback. Crowdfunding is a relatively new domain for businesses in the hospitality sector. As noted by Belavin, Marinesi and Tsoukalas (2020), crowdfunding offers huge potential for the sector, who often face funding challenges thereby limiting new innovative start-ups, critical for the sector's long term viability. This case study examined how one entrepreneur in the hospitality sector, successfully crowdfunded an innovative business idea in the midst of the COVID-19 pandemic. The case traces the idea and the factors that shaped the decision to crowdfund. Additionally, the case examines the benefits and challenges involved in successfully crowdfunding the business idea and closes with the entrepreneur reflecting on the key learning from the experience. The contribution of this case study is twofold. Firstly, it serves to highlight the potential of crowdfunding as a funding source of enterprise development, particularly among new, innovative businesses. Secondly, it adds to the current debate, as noted by Belavin, Marinesi and Tsoukalas (2020), of the potential crowdfunding in fostering entrepreneurship and economic development within the hospitality sector. © 2022, Academic Conferences and Publishing International Limited. All right reserved.

Dynamics and application of a generalized SIQR epidemic model with vaccination and treatment

In this paper, we propose and investigate the SIQR epidemic model with a generalized incidence rate function, a general treatment function and vaccination term. We firstly consider the existence and uniqueness of the global nonnegative solution to the deterministic model. Further, we show the locally asymptotic stability of the disease-free equilibrium and endemic equilibrium of the deterministic model, and obtain the basic reproduction number R0. Then we study the existence and uniqueness of the global positive solution to the stochastic model with any positive initial value. Meanwhile, we obtain sufficient conditions for the extinction of the disease in the stochastic epidemic model, and find that the large noise can make the disease die out exponentially. Finally, we make an empirical analysis by the COVID-19 data of Russia and Serbia. By the performance comparison of different models, it shows that the model with vaccination and treatment we proposed is better for the real situation, which is also verified by different estimation methods. Especially, that shows the recovery rate of the infected increases by 0.042 and the death rate of the recovered is 1.525 times that of normal human in Russia. Through statistical analysis, the short-term trend of epidemic transmission is predicted: under the condition of unchanged prevention and control policies, it may reach a stable endemic equilibrium state in Russia and the epidemic will eventually extinct in Serbia. © 2023 Elsevier Inc.

From Small to Big: Smartwatch Use in Mitigating COVID-19 - Understanding User Experience from Social Media Content Analysis

Smartwatches offer both functions and convenience that can have great potentials for technological interventions. Despite widespread discussion of technological interventions for COVID-19, smartwatch use has received little attention in the literature. This research aims to fill the literature gap by providing a broad understanding of smartwatch use for COVID-19 mitigation. We investigate smartwatch use through content analysis of the data collected from two social media platforms. The method allows us to draw on user experience beyond technological features and functions. In addition to functions, we also identified the concerns of using smartwatches for mitigating COVID-19. Furthermore, we uncovered both similarities and differences between the different social media platforms in terms of functions and concerns of smartwatch use. Our findings have implications for various stakeholders of the smartwatch technology and for mitigating the impact of the pandemic. © 2022 IEEE Computer Society. All rights reserved.

AI Based Directory Discovery Attack and Prevention of the Medical Systems

The medical system has been targeted by the cyber attackers, who aim to bring down the health security critical infrastructure. This research is motivated by the recent cyber-attacks happened during COVID 19 pandemics which resulted in the compromise of the diagnosis results. This study was carried to demonstrate how the medical systems can be penetrated using AI-based Directory Discovery Attack and present security solutions to counteract such attacks. We then followed the NIST (National Institute of Standards and Technology) ethical hacking methodology to launch the AI-based Directory Discovery Attack. We were able to successfully penetrate the system and gain access to the core of the medical directories. We then proposed a series of security solutions to prevent such cyber-attacks. © 2022 Creative Commons.

Multiplex and Ultrasensitive Detection of Severe Acute Respiratory Syndrome Coronavirus 2 and Influenza A/B Nucleocapsid Proteins Based on Nanometer-Sized Core-Shell Superparamagnetic Antifouling Probes

Infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A (Flu A), and influenza B (Flu B) show similar clinical symptoms, such as cough, fever, and dyspnea, but patients infected by these viruses should be treated differently. The rapid and accurate diagnosis of infections caused by SARS-CoV-2, Flu A or Flu B is critical during the influenza season. Herein, we synthesized core-shell magnetic particles (MNPs) with excellent antifouling properties and applied them in the MNP-based immunochromatographic test (MICT) for simultaneous detection of SARS-CoV-2, Flu A, and Flu B nucleocapsid(N) proteins in 20 min. Two kinds of carboxyl-modified MNPs, MNP@pMBAA and MNP@Si-SA, were prepared and evaluated as probes in the MICT. Among them, the MNP@pMBAA showed lower nonspecific adsorption of proteins and low background noise in the application in MICTs. Particularly, the MNP@pMBAA50 bead-based MICT strip exhibited the highest signal-to-noise ratio for SARS-CoV-2 N protein detection with a limit of detection (LOD) of 0.072 ng/mL. Moreover, the proposed MICT strip demonstrated a minimal cross-reactivity and a broad linear dynamic detection range under a magnetic assay reader in the simultaneous detection of SARS-CoV-2, Flu A, and Flu B N proteins with relative LOD values of 0.0086, 0.012, and 0.018 ng/mL, respectively. The results demonstrated that the synthesized MNPs showed great potential for use as MICT probes for sensitive and multiplex detection of biomarkers in the development of point-of-care testing systems. © 2023 American Chemical Society.

Treatment strategies for head and neck tumors in cancer-specialized hospital amid the novel coronavirus (COVID-19) pandemic: a report of 38 cases

Background and Aims: The novel coronavirus (COVID-19), discovered in December 2019, has now spread throughout the world. Studies have shown that patients with cancer have a higher risk of COVID-19 and are more likely to develop severe symptoms and progress to exacerbation. Head and neck tumors, as the major disease entities to be encountered in a cancer-specialized hospital, have a large number of cases of complex disorders, and some of them are highly malignant with rapid progress, for which the treatment cannot be delayed. Moreover, the operations involving the mouth, throat and airway are unavoidable during the diagnosis and treatment process of head and neck tumors, which may increase the risk of COVID-19 infection between doctors and patients. Therefore, this study was conducted to mainly investigate the appropriate diagnosis and treatment of head and neck tumors and prevention and control strategies of COVID-19 in a cancer-specialized hospital amid the COVID-19 pandemic. Methods: The clinical data of 38 patients with head and neck malignant tumors admitted for therapy by scheduled appointment in Zhejiang Cancer Hospital from February 1th, 2020 to February 22rd, 2020 were retrospectively analyzed. In our center, the time-phased appointments were implemented, patients were appropriately diverted based on the diagnosis and treatment guidelines and clinical practice, and the hospitalization indications were rigorously adhered to. All admitted patients received surgery or chemotherapy on the premise of exclusion of COVID-19 by detailed epidemiological investigation, nucleic acid detection and chest CT scan. During hospitalization, the epidemic prevention and control measures were strictly implemented, the treatment process was carefully observed, and the temperature monitoring and management were paid particular attention. After discharge, the outcomes of patients were followed up and the patients received medical advice and post-discharge treatment through internet-based hospitals or other online channels. Results: Among the 38 patients with head and neck tumors, 17 cases were males and 21 were females, with an average age of 49 years. There were 21 cases of thyroid cancer, 6 cases of oral malignancies, 3 cases of salivary gland cancer, 2 cases of laryngeal cancer, 2 cases of hypopharyngeal cancer, and 1 case each of cervical esophageal cancer, lymphoma, nasopharyngeal cancer and of angiosarcoma. COVID-19 was excluded in all 38 patients upon admission. Thirty-one patients underwent surgical treatment and the other 7 patients were subjected to chemotherapy. Fever occurred in 3 patients during the process of treatment, which included fever associated with agranulocytosis in 1 case, fever caused by tumor necrosis and infection in 1 case and fever caused by wound infection in 1 case. Patients generally had an uneventful treatment course and recovered well. No COVID-19 infection was found in patients and medical staff during hospitalization and at the end of 2 weeks after discharge from hospital. Conclusion: In the situation of COVID-19 pandemic, rational distribution of patients as well as scientific prevention and control based on the diagnosis and treatment guidelines and clinical practice, making full use of the advantages of "internet + medical service", to protect cancer patients from virus while engage in the fight against the epidemic, providing psychological support to the patients, and minimizing the impact of the epidemic on treatment and ensuring the continuity of treatment are feasible strategies for the clinical treatment of head and neck tumors. © 2020 by the Author(s).

Hydrocarbon Security Strategy and Carbon Peak and Carbon Neutral Strategy: Relationship and Path

A century of changes combined with the COVID-19 pandemic has sounded the alarm on energy security around the world. How to deeply understand the relationship between energy transition and energy security, and how to explore the path of China's energy security and the carbon peaking and carbon neutrality (abbreviated as "dual carbon”) strategy have become a major problem. Based on detailed analyses of China's energy consumption predictions and dual carbon strategy requirements, this study proposes: (1) Energy security is the foundation of energy transition. The oil and gas shortage situation in China may persist for a long time. The "dual carbon” goal does not conflict with hydrocarbon security strategy. (2) China's hydrocarbon security needs to be considered at two levels. The deployment needs to be made in the near-, medium-and long-term. First, it is necessary to continue exploring traditional oil and gas resources, including land and sea, conventional and unconventional resources. The second is to actively explore at new areas of oil and gas resources, and focus on organizing the "three revolutions” of in-situ conversion of medium-low mature shale oil, thermal conversion and utilization of oil-rich coal and underground coal gasification to prepare for large-scale increase of oil and gas production. (3) The "dual carbon” strategy is an extensive and profound system revolution. The withdrawal of fossil energy must be based on energy security. The clean use of fossil energy, the increased use of renewable energy, the construction of flexible smart grids, the construction of energy storage infrastructure and the improvement of efficiency in energy utilization, must be paid close attention to simultaneously. On the basis of ensuring energy security, the goal of "carbon neutrality” can be achieved through multiple ways relying on technological progress. © 2023, Science Press. All rights reserved.

Analysis of influencing factors of blood glucose levels in diabetic patients during epidemic of COVID-19.

Objective: To investigate the blood glucose control of diabetic patients during the Coronavirus disease 2019 (COVID-19) epidemic, and to explore the factors affecting blood glucose. Method(s): Three hundred and fifty patients with diabetes mellitus hospitalized in the Endocrinology Department of the Second Affiliated Hospital of Air Force Military Medical University from 2017 to 2019 were selected, and we send questionnaires (a self-made questionnaire containing 39 questions, Zung anxiety self-assessment scale, Zung depression self-assessment scale) to the patients through WeChat group. After the effective questionnaires were collected, the patients were divided into good blood glucose control group (fasting blood glucose <=7 mmol/L and 2 h postprandial blood glucose <=10 mmol/L) and poor blood glucose control group (fasting blood glucose>7 mmol/L and/or 2 hours postprandial blood glucose>10 mmol/L). Chi square test or Fisher exact probability method and t test were used to compare the differences between the two groups. In Multi-factor logistic regression, the backward regression method was performed. Result(s): A total of 310 questionnaires were collected, 4 of which did not meet the requirements were eliminated, and a total of 306 valid questionnaires were analyzed. There were 108 cases (35.3%) in the well-controlled group and 198 cases (64.7%) in the poorly controlled group. Compared with well-controlled group, there was a higher percentage of patients with aged >=45 years, diabetes course >=5 years, combined with chronic complications of diabetes, weekly exercise time during the epidemic period<150 min,weekly monitoring of blood glucose frequency <=1 to 2 times and sleep disorders during the epidemic, anxiety, and depression in poorly controlled group, and there were statistically significant differences (P<0.05).The above 8 factors with P<0.05 were included in the logistic regression model. Diabetes course >=5 years, weekly exercise time during the epidemic<150 min, sleep disturbance during the epidemic, weekly monitoring of blood glucose frequency <= 1 to 2 times, depression were risk factors for poor blood glucose control (P<0.05). Conclusion(s): During the epidemic period, the blood glucose level of diabetes patients was generally high. The factors that affected blood glucose control included a long course of diabetes, short exercise time, low monitoring frequency of blood glucose, sleep disorders, and depression.Copyright © 2020 by the Chinese Medical Association.