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Indoor environment has significant impacts on human health as people spend 90% of their time indoors. The COVID-19 pandemic and the increased public health awareness have further elevated the urgency for cultivating and maintaining a healthy indoor environment. The advancement in emerging digital twin technologies including building information modeling (BIM), Internet of Things (IoT), data analytics, and smart control have led to new opportunities for building design and operation. Despite the numerous studies on developing methods for creating digital twins and enabling new functionalities and services in smart building management, very few have focused on the health of indoor environment. There is a critical need for understanding and envisaging how digital twin paradigms can be geared towards healthy indoor environment. Therefore, this study reviews the techniques for developing digital twins and discusses how the techniques can be customized to contribute to public health. Specifically, the current applications of BIM, IoT sensing, data analytics, and smart building control technologies for building digital twins are reviewed, and the knowledge gaps and limitations are discussed to guide future research for improving environmental and occupant health. Moreover, this paper elaborates a vision for future research on integrated digital twins for a healthy indoor environment with special considerations of the above four emerging techniques and issues. This review contributes to the body of knowledge by advocating for the consideration of health in digital twin modeling and smart building services and presenting the research roadmap for digital twin-enabled healthy indoor environment.
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Background The phase III CheckMate 816 study demonstrated statistically significant and clinically meaningful improvements in event-free survival (EFS) and pathologic complete response (pCR) with neoadjuvant N + C vs C in patients (pts) with resectable NSCLC. Here, we report 3-y efficacy, safety, and exploratory biomarker analyses from CheckMate 816. Methods Adults with stage IB (tumors >=4 cm)-IIIA (per AJCC 7th ed) resectable NSCLC, ECOG PS <= 1, and no known EGFR/ALK alterations were randomized to N 360 mg + C Q3W or C alone Q3W for 3 cycles followed by surgery. Primary endpoints were EFS and pCR, both per blinded independent review. Exploratory analyses included EFS by surgical approach and extent/completeness of resection, and EFS and pCR by a 4-gene (CD8A, CD274, STAT-1, LAG-3) inflammatory signature score derived from RNA sequencing of baseline (BL) tumor samples. Results At a median follow-up of 41.4 mo (database lock, Oct 14, 2022), continued EFS benefit was observed with N + C vs C (HR, 0.68;95% CI, 0.49-0.93);3-y EFS rates were 57% and 43%, respectively. N + C improved EFS vs C in pts who had surgery, regardless of surgical approach or extent of resection, and in pts with R0 resection (table). Recurrence occurred in 28% and 42% of pts who had surgery in the N + C (n = 149) and C arms (n = 135), respectively. In the N + C arm, BL 4-gene inflammatory signature scores were numerically higher in pts with pCR vs pts without, and EFS was improved in pts with high vs low scores (data to be presented). Grade 3-4 treatment-related and surgery-related adverse events occurred in 36% and 11% of pts in the N + C arm, respectively, vs 38% and 15% in the C arm. Conclusions Neoadjuvant N + C continues to provide long-term clinical benefit vs C in pts with resectable NSCLC, regardless of surgical approach or extent of resection. Exploratory analyses in pts treated with N + C suggested that high BL tumor inflammation may be associated with improved EFS and pCR. Clinical trial identification NCT02998528. Editorial acknowledgement Medical writing and editorial support for the development of this , under the direction of the authors, was provided by Adel Chowdhury, PharmD, Samantha Dwyer, PhD, and Michele Salernitano of Ashfield MedComms, an Inizio company, and funded by Bristol Myers Squibb. Legal entity responsible for the study Bristol Myers Squibb. Funding Bristol Myers Squibb. Disclosure P.M. Forde: Financial Interests, Personal, Advisory Board: Amgen, AstraZeneca, Bristol Myers Squibb, Daiichi Sankyo, F-Star, G1 Therapeutics, Genentech, Iteos, Janssen, Merck, Novartis, Sanofi, Surface;Financial Interests, Institutional, Research Grant: AstraZeneca, BioNTech, Bristol Myers Squibb, Corvus, Kyowa, Novartis, Regeneron;Financial Interests, Personal, Other, Trial steering committee member: AstraZeneca, BioNTech, Bristol Myers Squibb, Corvus;Non-Financial Interests, Personal, Member of the Board of Directors: Mesothelioma Applied Research Foundation;Non-Financial Interests, Personal, Advisory Role, Scientific advisory board member: LUNGevity Foundation. J. Spicer: Financial Interests, Institutional, Research Grant: AstraZeneca, Bristol Myers Squibb, CLS Therapeutics, Merck, Protalix Biotherapeutics, Roche;Financial Interests, Personal, Other, Consulting fees: Amgen, AstraZeneca, Bristol Myers Squibb, Merck, Novartis, Protalix Biotherapeutics, Regeneron, Roche, Xenetic Biosciences;Financial Interests, Personal, Speaker's Bureau: AstraZeneca, Bristol Myers Squibb, PeerView;Non-Financial Interests, Personal, Other, Data safety monitoring board member: Deutsche Forschungsgemeinschaft;Non-Financial Interests, Personal, Leadership Role, Industry chair: Canadian Association of Thoracic Surgeons. [Formula presented] N. Girard: Financial Interests, Personal, Invited Speaker: AstraZeneca, BMS, MSD, Roche, Pfizer, Mirati, Amgen, Novartis, Sanofi;Financial Interests, Personal, Advisory Board: AstraZeneca, BMS, MSD, Roche, Pfizer, Janssen, Boehringer Ingelheim, Novartis, Sanofi, AbbVie, Amgen, Eli Lilly, Grunenthal, Tak da, Owkin;Financial Interests, Institutional, Research Grant, Local: Roche, Sivan, Janssen;Financial Interests, Institutional, Funding: BMS;Non-Financial Interests, Personal, Officer, International Thymic malignancy interest group, president: ITMIG;Other, Personal, Other, Family member is an employee: AstraZeneca. M. Provencio: Financial Interests, Institutional, Research Grant: AstraZeneca, Bristol Myers Squibb, Janssen, Pfizer, Roche, Takeda;Financial Interests, Personal, Speaker's Bureau: AstraZeneca, Bristol Myers Squibb, MSD, Pfizer, Roche, Takeda. S. Lu: Financial Interests, Personal, Advisory Role: AstraZeneca, Boehringer Ingelheim, GenomiCare, Hutchison MediPharma, Roche, Simcere, ZaiLab;Financial Interests, Personal, Speaker's Bureau: AstraZeneca, Hanosh, Roche. M. Awad: Financial Interests, Personal, Other, Consulting fees: ArcherDX, Ariad, AstraZeneca, Blueprint Medicine, Bristol Myers Squibb, EMD Serono, Genentech, Maverick, Merck, Mirati, Nektar, NextCure, Novartis, Syndax;Financial Interests, Institutional, Research Grant: AstraZeneca, Bristol Myers Squibb, Genentech, Eli Lilly. T. Mitsudomi: Financial Interests, Institutional, Research Grant: Boehringer Ingelheim, BridgeBio Pharma;Financial Interests, Personal, Other, Consulting fees: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Chugai, MSD, Novartis, Ono, Pfizer;Financial Interests, Personal, Speaker's Bureau: Amgen, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Chugai, Daiichi Sankyo, Eli Lilly, Guardant, Invitae, Merck, MSD, Novartis, Ono, Pfizer, Taiho;Financial Interests, Personal, Advisory Board: AstraZeneca;Non-Financial Interests, Personal, Leadership Role, Former president: IASLC. E. Felip: Financial Interests, Institutional, Research Grant: Fundacion Merck Salud, Merck KGAa;Financial Interests, Personal, Other, Consulting fees: Amgen, AstraZeneca, Bayer, BerGenBio, Bristol Myers Squibb, Daiichi Sankyo, Eli Lilly, F. Hoffmann-La Roche, GlaxoSmithKline, Janssen, Merck, MSD, Novartis, Peptomyc, Pfizer, Sanofi, Takeda;Financial Interests, Personal, Speaker's Bureau: Amgen, AstraZeneca, Bristol Myers Squibb, Eli Lilly, F. Hoffmann-La Roche, Janssen, Medical Trends, Medscape, Merck, MSD, PeerVoice, Pfizer, Sanofi, Takeda, touchONCOLOGY;Non-Financial Interests, Personal, Member of the Board of Directors: Grifols. S.J. Swanson: Financial Interests, Personal, Speaker's Bureau: Ethicon. F. Tanaka: Financial Interests, Institutional, Research Grant: Boehringer Ingelheim, Chugai, Eli Lilly, Ono, Taiho;Financial Interests, Personal, Other, Consulting fees: AstraZeneca, Chugai, Ono;Financial Interests, Personal, Speaker's Bureau: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Chugai, Covidien, Eli Lilly, Intuitive, Johnson & Johnson, Kyowa Kirin, MSD, Olympus, Ono, Pfizer, Stryker, Taiho, Takeda. P. Tran: Financial Interests, Personal, Full or part-time Employment: Bristol Myers Squibb;Financial Interests, Personal, Stocks/Shares: Bristol Myers Squibb. N. Hu: Financial Interests, Personal, Full or part-time Employment: Bristol Myers Squibb. J. Cai: Financial Interests, Personal, Full or part-time Employment: Bristol Myers Squibb;Financial Interests, Personal, Stocks/Shares: Bristol Myers Squibb;Financial Interests, Personal, Other, Travel support for attending meetings and travel: Bristol Myers Squibb. J. Bushong: Financial Interests, Personal, Full or part-time Employment: Bristol Myers Squibb;Financial Interests, Personal, Stocks/Shares: Bristol Myers Squibb. J. Neely: Financial Interests, Personal, Full or part-time Employment: Bristol Myers Squibb;Financial Interests, Personal, Stocks/Shares: Bristol Myers Squibb. D. Balli: Financial Interests, Personal, Other, patents planned, issued, or pending: Bristol Myers Squibb;Financial Interests, Personal, Stocks/Shares: Bristol Myers Squibb. S.R. Broderick: Financial Interests, Personal, Advisory Board: AstraZeneca. All other authors have declared no conflicts of interest.Copyright © 2023 International Association for the Study of Lung Cancer. Published by E sevier Inc.
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Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Method(s): A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Result(s): The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (chi2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (chi2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (chi2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (chi2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion(s): There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification.Copyright © 2020 by the Chinese Medical Association.
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Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Method(s): A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Result(s): The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (chi2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (chi2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (chi2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (chi2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion(s): There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification.Copyright © 2020 by the Chinese Medical Association.
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Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Method(s): A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Result(s): The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (chi2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (chi2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (chi2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (chi2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion(s): There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification.Copyright © 2020 by the Chinese Medical Association.
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The emergence of the SARS-CoV-2 Omicron variant raises concerns for school operations worldwide. The Omicron variant spread faster than other variants that cause COVID-19, and breakthrough infections are reported in vaccinated people. Schools are hotbeds for the transmission of the highly contagious virus. Therefore it is crucial to understand the risks of Omicron transmission and the effectiveness of different measures to prevent the surge of infection cases. This study estimates the risks of airborne transmission and fomite transmission of Omicron variants using simulations and the data of 11,485 public and private schools in the U.S. It also analyzes the impact of different mitigation measures on limiting airborne transmission and fomite transmission risks in schools. It was found that the Omicron variant caused relatively high infection risks in schools. The risk of airborne transmission is nine times higher than fomite transmission. The effective mitigation measures can significantly decrease the transmission risk. © 2022 IEEE.
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In 2020, the COVID-19 pandemic had a major impact on China's foreign trade. Therefore, the Chinese government has proposed a "dual cycle" policy to promote economic development. In 2021, China's cross-border e-commerce B2B exports accounted for 60 percent. Therefore, this paper studies the impact of government actions on the development of cross-border e-commerce B2B export enterprises under the background of "dual cycle" policy. First, the policies related to the cross-border e-commerce industry in the "dual circulation" policy are screened, and the LDA topic model is used to classify them, i.e., sorting by topic intensity as "fiscal policy", "tax policy", "customs clearance policy", "payment policy" and "talent policy". After that, based on the analysis results of the LDA topic model, a theoretical basis for the impact of different policies on cross-border e-commerce B2B export companies is established;then an evolutionary game model between the government and cross-border e-commerce B2B export enterprises is constructed. This article also carried out experiments to verify our analysis. The simulation results show that: (1) The government's appropriate increase in subsidies, tax incentives, infrastructure investment, talent introduction and cultivation, optimized payment system, and supervision can promote enterprises to participate in cross-border e-commerce B2B export trading;(2) excessive government supervision reduces enterprises' enthusiasm to participate in cross-border e-commerce B2B export trading;(3) the government's subsidies, tax incentives, and supervision strength have the greatest impact on whether enterprises participate in cross-border e-commerce B2B export trading, followed by the government's investment in cross-border e-commerce infrastructure, the introduction and cultivation of cross-border e-commerce talents, and the improvement of the payment system. Finally, this paper puts forward relevant policy recommendations to promote the development of cross-border e-commerce B2B export enterprises.
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The world tilapia aquaculture production grew from 380 000 tonnes in 1990 to 6 million tonnes in 2018, making it the fourth-largest species group in global aquaculture. Tilapias are the second-largest species group in Mexico's aquaculture with its 53 000 tonnes of production contributing to around 20 percent of the 247 000 tonnes of total aquaculture production in 2018. Mexico is the second-largest tilapia capture fisheries country, and its 116 000 tonnes of tilapia capture fisheries production in 2018 was primarily contributed by culture-based fisheries. Overall, Mexico is the second-largest international market for tilapia products, and the 228 000 tonnes live weight equivalent of its tilapia import in 2018 was higher than its domestic production. The average per capita apparent tilapia consumption in Mexico was 3.08 kg (21 percent of its total fish consumption) in 2018, which was much higher than the 0.9 kg world average. This document assesses tilapia farming and the value chain in Mexico by examining tilapia farming systems and practices, dissecting the tilapia value chain, evaluating the sector's social and economic performance, discussing the impacts of proper governance and institutions on the sector development, and highlighting potentials, issues, constraints and challenges in the development of tilapia farming or aquaculture in general. The document ends with a brief discussion of the impacts of the ongoing coronavirus disease 2019 pandemic on the tilapia industry in the country.
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The efficiency of antimalarials, chloroquine (CQ) and hydroxychloroquine (HCQ), in the prevention and treatment of coronavirus disease 2019 (COVID-19) is under intense debate. The mechanisms of action of antimalarials against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been fully elucidated. Here, we applied a network-based comparative analysis, implemented in our machine learning workflow-scTenifoldNet, to scRNA-seq data from COVID-19 patientswith different levels of severity. We found that genes of the Malaria pathway expressed in macrophages are significantly differentially regulated between patientswith moderate and severe symptoms. Our findings help reveal the mechanisms of action of CQ and HCQ during SARS-CoV-2 infection, providing new evidence to support the use of these antimalarial drugs in the treatment of COVID-19, especially for patients who are mildly affected or in the early stage of the infection.
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The multiscale rock physics of unconventional reservoirs have drawn increasing attention in recent years, which involves several essential issues, including measuring method, transport property, physics model, characteristic scale, and their application. These issues vastly affect science and engineering regarding the exploration and development of unconventional reservoirs. To encourage communication on the advances of research on the rock physics of unconventional reservoirs, a conference on Multiscale Rock Physics for Unconventional Reservoirs was jointly organized by the journals Energies and Advances in Geo-Energy Research. Due to the limitations of movement caused by COVID-19, 21 experts introduced their work online, and the conference featured the latest multiscale theories, experimental methods and numerical simulations on unconventional reservoirs. © 2022, Yandy Scientific Press. All rights reserved.
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Purpose: This study aims to focus on the sustainability of prefabricated medical emergency buildings (PMEBs) renovation after the epidemic, to address the problem that large numbers of PMEBs may be abandoned for losing their original architectural functions. This study develops an evaluation system to identify and measure sustainable factors for PMEBs’ renovation schemes. Qualitative and quantitative analysis of PMEBs’ renovation scheme was conducted based on cloud model evaluation method and selected the renovation scheme in line with sustainable development. The study promotes evaluation methods and decision-making basis for the renovation design of global PMEBs and realizes the use-value of building functions again. Design/methodology/approach: By referring to the existing literature, design standards and expert visiting a set of evaluation index systems which combines the renovation of the PMEBs and the sustainability concept has been established, which calculates the balanced optimal comprehensive weight of each indicator utilizing combination weighting method, and quantifies the qualitative language of different PMEBs’ renovation schemes by experts through characteristics of the cloud model. This paper takes Huoshenshan hospital a representative PMEB during the epidemic period as an example, to verify the feasibility of the cloud model evaluation method. Findings: The research results of this paper are that in the PMEBs’ renovation scheme structural reformative (T11) and corresponding nature with the original building (T13) have the most important influence;the continuity of architectural cultural value (T22) and regional development coherence (T23) are the key factors affecting the social dimension;the profitability of renovated buildings (T34) is the key factor affecting the economic dimension;the environmental impact (T41), resource utilization (T42) and ecological technology (T43) are the key factors in the environmental dimension. Originality/value: This study contributes to the existing body of knowledge by supplementing a set of scientific evaluation methods to make up for the sustainability measurement of PMEBs’ renovation scheme. The main objective was to make renovated PMEBs meet the needs of urban sustainable development, retain the original cultural value of the buildings, meanwhile enhance their social and economic value and realize the renovation with the least impact on the environment. © 2022, Emerald Publishing Limited.
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Chest X-ray has become a useful method in the detection of coronavirus disease-19 (COVID-19). Due to the extreme global COVID-19 crisis, using the computerized diagnosis method for COVID-19 classification upon CXR images could significantly decrease clinician workload. We explicitly addressed the issue of low CXR image resolution by using Super-Resolution Convolutional Neural Network (SRCNN) to effectively reconstruct high-resolution (HR) CXR images from low-resolution (LR) CXR correspondents. Then, the HRCXR images are fed into the modified capsule network to retrieve distinct features for the classification of COVID-19. We demonstrate the proposed model on a public dataset and achieve ACC of 97.3%, SEN of 97.8%, SPE of 96.9%, and AUC of 98.0%. This new conceptual framework is proposed to play a vital task in the issue facing COVID-19 and related ailments. © 2021 ACM.
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Purpose: Greater access to smartphones and mobile app technology, coupled with the COVID-19 pandemic, has fueled a growing interest in mobile health apps. Patients with knee and/or hip osteoarthritis (OA) may benefit from mobile apps when seeking additional guidance and advice. Clinicians may leverage these apps for symptom monitoring, activity tracking, and exercise program delivery. Integrating mobile apps into patient care may empower self-management and enhance communication, therapeutic alliance, and treatment adherence. Mobile apps could also facilitate access to healthcare services and reduce costs. However, little is known about the quality of these apps. We aimed to synthesize and evaluate current available mobile apps for adults with knee/hip OA. Methods: We searched Apple App Store, Android Google Play, and Amazon App Store for mobile health apps targeting management of knee/hip OA. Inclusion criteria for appraisal: available in English;containing search terms of “knee”, “knee OA”, “hip”, “hip OA”, “osteoarthritis”, “arthritis”, “physical therapy”, “rehabilitation”, and/or “rehab” in the app description;targeting knee and/or hip OA;and free to download. Exclusion criteria for appraisal: apps specific for rheumatoid arthritis;unavailable for download;could not be opened due to incompatibility;requiring subscription, passwords, institutional accounts, download fees, or additional accessories (e.g. motion sensor) for usage. The search was terminated for each search term when the last 10 apps on a platform did not meet the inclusion criteria, consistent with the methodology used in prior research. Paired reviewers rated apps using the adapted Mobile App Rating Scale (MARS) (score range 0-132, higher is better) that appraises apps by technical aspects, engagement, functionality, aesthetics, information, quality, and relevant information to the subject matter. Disagreements were resolved by discussion between 2 reviewers. Apps that scored ≥3/5 on overall app quality or totaled ≥80/132 were included in the final descriptive summary. Results: Among 797 identified apps, 41 met inclusion/exclusion criteria for MARS appraisal. As shown in Figure 1, 17 apps met the pre-determined score thresholds for final summary. Their key characteristics are summarized in Table 1. The median MARS score was 86 (interquartile range = 23 and ranged from 63 to 115). App features varied. Common app features were exercise recommendations, education, goal setting, and improving well-being. Many apps allowed for social media sharing and included measures to protect privacy. 11 apps demonstrated low to moderate credibility. Jointfully Osteoarthritis (Apple), My Arthritis (Apple), and Jointfully Osteoarthritis (Android) were the top three rated apps. They also were the only apps receiving an overall 5/5 quality rating. Conclusions: While many no-cost apps targeting knee/hip OA management exist, only three were rated highly. Features varied widely in our sample. Future research is needed to identify optimal app designs and functions for self-management strategies tailored to patients with knee/hip OA. Evaluating whether incorporating mobile apps in patient care improves outcome, treatment adherence, and patient satisfaction will help guide clinical practice recommendations. [Formula presented] [Formula presented]
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With the flourish of collaborative and social technologies in the market since the pandemic, there is limited understanding of user's attitudes towards these technologies. We aim to understand teleworkers' perceptions of technology use during the pandemic and interviewed 46 teleworkers. We found that teleworkers generally hold a positive attitude towards social technologies and are creative to use these technologies to meet their social needs;they express overall negative feelings about remote collaboration technologies, though online communication flattens the communication hierarchy in the organization. The pandemic amplifies the extant challenges and highlights the shortcomings of technological design in well-established teleworking research and remote collaboration work. We suggest that future design should 1) combine and commercialize solutions that are well-grounded in prior work;2) consider scenarios that are typically missed and can be easily replaced with collocated interaction from the pre-pandemic context into the forced teleworking context. © Cai et al. Published by BCS Learning and Development Ltd.
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Picroside II, an iridoid glycoside, has anti-cancer, anti-virus, anti-apoptotic, nervous and myocardial protection effects and so on. However, the oral bioavailability of Picroside II is low, and the half-life in vivo is short, so it is limited to use in clinic. Triazole is a highly stable heterocyclic ring, which can be interacted with various enzymes or receptors in the organism through non-covalent interactions, and many of its good pharmacological activities in vitro and in vivo have been reported. Based on the advantages of triazole and Picroside II, a series of triazole-modified Picroside II derivatives (5 a–5 i) were synthesized by using drug combination principles for the first time. The structures were confirmed by different spectroscopic techniques including 1H NMR, 13C NMR and HRMS, and the primary biological evaluation of anti-breast cancer, anti-colorectal cancer, the effect on SARS-CoV-2 3CLpro inhibitor, and CD47-SIRPα protein were screened as well. Compound 5 e has anti-breast cancer activity, and compounds 3 and 5 i have anti-colorectal cancer activity. © 2021 Wiley-VCH GmbH
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The coronavirus disease of 2019 (COVID-19) pandemic has caused a global public health epidemic since there is no 100% vaccine to cure or prevent the further spread of the virus. With the ever-increasing number of new infections, creating automated methods for COVID-19 identification of Chest X-ray images is critical to aiding clinical diagnosis and reducing the time-consumption for image interpretation. This paper proposes a novel joint framework for accurate COVID-19 identification by integrating an enhanced super-resolution generative adversarial network with a noise reduction filter bank of wavelet transform convolutional neural network on both Chest X-ray and Chest Tomography images for COVID-19 identification. The super-resolution utilized in this study is to enhance the image quality while the wavelet transform Convolutional Neural Network architecture is used to accurately identify COVID-19. Our proposed architecture is very robust to noise and vanishing gradient problem. We used public domain datasets of Chest x-ray images and Chest Tomography to train and check the performance of our COVID-19 identification task. This experiment shows that our system is consistently efficient by accuracy of 0.988, sensitivity of 0.994, and specificity of 0.987, AUC of 0.99, F1-score of 0.982 and 0.989 for precision using the Chest X-ray dataset while for Chest Tomography dataset, an accuracy of 0.978, sensitivity of 0.981, and specificity of 0.979, AUC of 0.985, F1-score of 0.961 and precision of 0.980. These performances have also outweighed other established state-of-the-art learning methods. © 2021 IEEE.
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Purpose: Although prefabricated construction (PC) technology has attracted considerable attention worldwide because of its significant role in the global fight against COVID-19, market-driven adoption is still limited. The mechanisms for PC technology adoption have yet to be defined, which inhibits its diffusion in the construction market. This study aims to reveal the intrinsic motivation and action mechanism for PC technology adoption. Design/methodology/approach: Drawing on the technology acceptance model (TAM), the study integrates characteristics from the diffusion of innovation theory to propose a multifaceted model for explaining practitioners’ PC technology adoption behavior from technology, organization and environment contexts. The proposed theoretical model was empirically examined via a survey of 234 professionals in mainland China using the partial least squares-structural equation modeling technique. Findings: The outcomes indicated that relative advantage, corporate social responsibility and market demand are significantly positively related to practitioners’ perceived usefulness from PC technology. Regulatory support and trading partner support have noticeable positive effects on practitioners’ perceived ease of use from PC technology. Perceived ease of use is found to positively influence perceived usefulness, and both of them have a positive influence on the attitude toward adopting PC technology. Attitude is further confirmed as an important predictor of adoption intention, which would lead to actual PC technology adoption behavior. Originality/value: To the best of the authors’ knowledge, this paper is the first attempt to explore industry perceptions toward PC technology adoption, providing valuable guidance for the effective diffusion of PC technology and laying a reliable foundation for research on other construction innovation adoption in post-COVID-19. © 2021, Emerald Publishing Limited.
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COVID-19 , Pregnancy Complications, Infectious , Female , Humans , Infant, Newborn , Infectious Disease Transmission, Vertical , Mothers , Pregnancy , SARS-CoV-2ABSTRACT
Objective: To evaluate the impact of COVID-19 epidemic on anxiety status of active psychological counselors in Shanghai, China. Methods: We collected the demographic information of participants, cognition and attention to COVID-19, attitude towards the disappearance of COVID-19 and answers to the State-Trait Anxiety Inventory (STAI) on the Shanghai online psychological counseling platform from Feb 4th, 2020 to Mar 11st, 2020.Multiple Logistic regression was used to analyze the associations between COVID-19 epidemic and State-anxiety and Trait-anxiety. Results: Of 704 participants with an average age of 33.24 years (ranging from 18 to 73 years), the mean State-scores and Trait-scores were 44.49±6.31 and 46.19±5.22, respectively.In multivariate Logistic regression analysis, after gender stratification and adjustment of related variables, we found that for males, engaging in relevant prevention and control work was associated with a lower risk for medium or high State-anxiety (OR=0.28, 95%CI:0.09-0.89), and holding a intensively positive attitude was associated with a lower risk for medium or high Trait-anxiety (OR=0.25, 95%CI:0.07-0.87);while for females, those with medical background had a lower risk for State-anxiety (OR=0.17, 95%CI:0.03-0.92), and those paying moderate attention to epidemic had a lower risk for Trait-anxiety (OR=0.22, 95%CI:0.07-0.69). Conclusion: COVID-19 epidemic had different effects on the anxiety status of psychological counselors with different characteristics.Psychological counselors who have poor cognition of the epidemic, excessive attention to the epidemic, low hope for the disappearance of the epidemic, and non-disease prevention and control profession are more susceptible to greater anxiety, which are the key objects of protection in the event of public health emergencies. © 2021, Editorial Department of Fudan University Journal of Medical Sciences. All right reserved.