An integrative framework for building organizational resilience through environmental scanning: a view of organizational information processing theory: MRN

PurposeThis study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic.Design/methodology/approachThis study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses.FindingsEnvironmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience.Research limitations/implicationsThe sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken.Practical implicationsManagers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience.Originality/valueThis study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.

A new strategy to integrate silver nanowires with waterborne coating to improve their antimicrobial and antiviral properties

PurposeThis study aims to focus on the preparation and characterization of the silver nanowire (AgNWs), as well as their application as antimicrobial and antivirus activities either with incorporation on the waterborne coating formulation or on their own.Design/methodology/approachPrepared AgNWs are characterized by different analytical instruments, such as ultraviolet-visible spectroscope, scanning electron microscope and X-ray diffraction spectrometer. All the paint formulation's physical and mechanical qualities were tested using American Society for Testing and Materials, a worldwide standard test procedure. The biological activities of the prepared AgNWs and the waterborne coating based on AgNWs were investigated. And, their effects on pathogenic bacteria, antioxidants, antiviral activity and cytotoxicity were also investigated.FindingsThe obtained results of the physical and mechanical characteristics of the paint formulation demonstrated the formulations' greatest performance, as well as giving good scrub resistance and film durability. In the antimicrobial activity, the paint did not have any activity against bacterial pathogen, whereas the AgNWs and AgNWs with paint have similar activity against bacterial pathogen with inhibition zone range from 10 to 14 mm. The development of antioxidant and cytotoxicity activity of the paint incorporated with AgNWs were also observed. The cytopathic effects of herpes simplex virus type 1 (HSV-1) were reduced in all three investigated modes of action when compared to the positive control group (HSV-1-infected cells), suggesting that these compounds have promising antiviral activity against a wide range of viruses, including DNA and RNA viruses.Originality/valueThe new waterborne coating based on nanoparticles has the potential to be promising in the manufacturing and development of paints, allowing them to function to prevent the spread of microbial infection, which is exactly what the world requires at this time.

A Freehand 3D Ultrasound Carotid Scanning System for Point-of-Care Ultrasonography

Stroke is a leading cause of morbidity and mortality throughout the world. Three-dimensional ultrasound (3DUS) imaging was shown to be more sensitive to treatment effect and more accurate in stratifying stroke risk than two-dimensional ultrasound (2DUS) imaging. Point-of-care ultrasound screening (POCUS) is important for patients with limited mobility and at times when the patients have limited access to the ultrasound scanning room, such as in the COVID-19 era. We used an optical tracking system to track the 3D position and orientation of the 2DUS frames acquired by a commercial wireless ultrasound system and subsequently reconstructed a 3DUS image from these frames. The tracking requires spatial and temporal calibrations. Spatial calibration is required to determine the spatial relationship between the 2DUS machine and the tracking system. Spatial calibration was achieved by localizing the landmarks with known coordinates in a custom-designed Z-fiducial phantom in an 2DUS image. Temporal calibration is needed to synchronize the clock of the wireless ultrasound system and the optical tracking system so that position and orientation detected by the optical tracking system can be registered to the corresponding 2DUS frame. Temporal calibration was achieved by initiating the scanning by an abrupt motion that can be readily detected in both systems. This abrupt motion establishes a common reference time point, thereby synchronizing the clock in both systems. We demonstrated that the system can be used to visualize the three-dimensional structure of a carotid phantom. The error rate of the measurements is 2.3%. Upon in-vivo validation, this system will allow POCUS carotid scanning in clinical research and practices. © 2023 SPIE.

Improving the Dissolution Rate and the Bioavailability of Favipiravir by Solid Dispersion with Curcumin

Favipiravir is an anti-viral agent that inhibits RNA-dependent RNA polymerase of several RNA viruses and is approved for the treatment of influenza in Japan. It has a role as an antiviral drug, an anti-coronaviral (COVID-19) agent but the poor solubility of the favipiravir in the aqueous media of the human body cause a reduction in the effectiveness and bioavailability. In the current work, the favipiravir was formulated for the first time as solid dispersed system with curcumin to improve dissolution property and antiviral activity during treatment of Covid-19. Binary and ternary mix of favipiravir and curcumin with/without soluplus were prepared and characterized by Differential Scanning Calorimetry (DSC), Powder X-ray Diffractometry (PXRD) and Fourier Transform Infrared Spec-troscopy (FTIR) and subjected to the dissolution test by apparatus I according to the European Pharma-copeia. The antiviral activity was measured by its cytotoxicity against A549-hACE2 cells. The results re-vealed that there was a reduction in the crystallinity of both binary and ternary mixtures with an en-hancement of the dissolution in comparison with the pure drug which accompanied by an improvement in the antiviral activity which is promising results that need further .Copyright © 2023, Colegio de Farmaceuticos de la Provincia de Buenos Aires. All rights reserved.

A COMPARISON OF TWO APPROACHES TO SCREEN THE FILTRATION PROPERTIES OF MATERIALS DURING THE COVID-19 EMERGENCY TIME

Determination of the filtration efficiency (even to nanosize) of several textiles was carried out during emergency time at the beginning of the COVID-19 pandemic lockdown in order to perform a fast screening of materials candidate for facial masks. At this purpose, a double strategy was adopted in Milan: scanning electron microscopy investigation and a classical filtration test of ambient aerosol. The latter was used in order to mimic as much as possible the capability to filter ambient aerosol that might contain COVID-19. The two methods were compared to investigate their capability to identify only textiles characterized by a filtration efficiency higher than 90% (thus candidate for facial mask production). Results showed filtration efficiency above 90% for promising candidate textiles as well as poor filtration capabilities (below 60%) of other textiles, enabling a fast screening of the materials from different Italian factories.

Balancing Functional Tradeoffs between Protein Stability and ACE2 Binding in the SARS-CoV-2 Omicron BA.2, BA.2.75 and XBB Lineages: Dynamics-Based Network Models Reveal Epistatic Effects Modulating Compensatory Dynamic and Energetic Changes.

Evolutionary and functional studies suggested that the emergence of the Omicron variants can be determined by multiple fitness trade-offs including the immune escape, binding affinity for ACE2, conformational plasticity, protein stability and allosteric modulation. In this study, we systematically characterize conformational dynamics, structural stability and binding affinities of the SARS-CoV-2 Spike Omicron complexes with the host receptor ACE2 for BA.2, BA.2.75, XBB.1 and XBB.1.5 variants. We combined multiscale molecular simulations and dynamic analysis of allosteric interactions together with the ensemble-based mutational scanning of the protein residues and network modeling of epistatic interactions. This multifaceted computational study characterized molecular mechanisms and identified energetic hotspots that can mediate the predicted increased stability and the enhanced binding affinity of the BA.2.75 and XBB.1.5 complexes. The results suggested a mechanism driven by the stability hotspots and a spatially localized group of the Omicron binding affinity centers, while allowing for functionally beneficial neutral Omicron mutations in other binding interface positions. A network-based community model for the analysis of epistatic contributions in the Omicron complexes is proposed revealing the key role of the binding hotspots R498 and Y501 in mediating community-based epistatic couplings with other Omicron sites and allowing for compensatory dynamics and binding energetic changes. The results also showed that mutations in the convergent evolutionary hotspot F486 can modulate not only local interactions but also rewire the global network of local communities in this region allowing the F486P mutation to restore both the stability and binding affinity of the XBB.1.5 variant which may explain the growth advantages over the XBB.1 variant. The results of this study are consistent with a broad range of functional studies rationalizing functional roles of the Omicron mutation sites that form a coordinated network of hotspots enabling a balance of multiple fitness tradeoffs and shaping up a complex functional landscape of virus transmissibility.

The launch of the EU Health Emergency Preparedness and Response Authority (HERA): Improving global pandemic preparedness?

The crowded global health landscape has been joined by the European Union Health Emergency Preparedness and Response Authority (HERA). HERA will assume four broad areas of responsibility: horizon scanning for major health threats; research and development; support for capacity to manufacture drugs, vaccines, and equipment; and procuring and stockpiling key medical countermeasures. In this Health Reform Monitor article, we outline the reform process and describe HERA's structure and responsibilities, explore issues that arise from the creation of this new organisation, and suggest options for collaboration with existing bodies in Europe and beyond. The COVID-19 pandemic and other infectious disease outbreaks have shown the need to treat health as a cross-border issue, and there is now a broad consensus that greater direction and coordination at the European level is needed. This ambition has been matched with a considerable increase in EU funding to tackle cross-border health threats, and HERA can be used to deploy this funding in an effective manner. Yet this is contingent upon clearly defining its role and responsibilities vis-à-vis existing agencies to reduce redundancies.

Financial and Investment Predicates of Security of Hotel Real Estate Development

The article examines the level of safety of investments in hotel real estate, and also develops general recommendations regarding its provision. It is noted that the safety of investments is an integral concept, and its achievement of optimal indicators forms the investment attractiveness of the micro-and macroeconomic environment. It was found that the investment potential of hotel real estate has been decreasing since 2019 due to unavoidable factors, in particular, the coronavirus pandemic and large-scale mil-itary aggression on the territory of Ukraine, which caused significant risks of financial capital losses. A negative forecast regarding the level of investment attractiveness of the hotel sector was found, verified on the basis of the method of scanning horizon, which is aggravated by the uncertainty of the war timeframe and the impossibility of predicting the scale of the destruction of social and tourist infrastructure. Globalization and digitalization of all aspects of the economy make it possible to form priority directions for the formation of safe relations regarding the investment of hotel projects adapted to the new conditions of the national economy. The relevant factors determining the conditions of investment in hotel real estate were worked out by the method of scanning the horizon. Therefore, this study aims to assess the conditions and risks of an investment in hotel real estate and to develop potential innovative models of interaction between the inves-tor and the recipient of the investment (a subject of the hotel business), which will increase the attractiveness of hotel real estate for investment. The relevance of the above provisions is confirmed by the prospects of restoration of the hotel business after the end of martial law in Ukraine

Comparing the Use of Virtual Models vs. Fieldwork in Developing Geomatics Skills in Undergraduate Engineering Education during the COVID-19 Pandemic

Undergraduate students enrolled in Civil Engineering, Architecture, and Urban Planning (CAU) must develop competencies in Geomatics and Topography (G&T) as part of their learning process. During this time, theoretical concepts are traditionally taught with field practice using specialized tools such as a theodolite, laser level, and total station. Due to the environmental restrictions of the COVID-19 pandemic, traditional field practice (TFP) was suspended, preventing access to equipment and study areas. The use of Information and Communication Technologies (ICT), such as Building Information Modeling (BIM) and Virtual Reality (VR), have been explored in the last decade for educational purposes. This paper studies the benefits of using these tools for developing G&T skills. This research aimed to assess students' learning outcomes using a traditional G&T teaching method and a new methodology based on Virtual Field Practice (VFP) for CAU students. The methodology provides a virtual study area for the CAU student by integrating point clouds derived from photogrammetry and terrestrial laser scanning. It also assesses their learning results and compares them against a control group using a validated instrument. Findings suggest continuing with fieldwork for a greater understanding and correct application of G&T concepts by students, and using virtual models as an efficient way to complement the acquisition of spatial information in the teaching-learning process. Until the publication of this article, we found no evidence in the literature at the undergraduate level of applying exercises like those proposed. © 2023 IEEE.

Ultrastructural study confirms the formation of single and heterotypic syncytial cells in bronchoalveolar fluids of COVID-19 patients.

BACKGROUND: SARS-CoV-2 was reported to induce cell fusions to form multinuclear syncytia that might facilitate viral replication, dissemination, immune evasion, and inflammatory responses. In this study, we have reported the types of cells involved in syncytia formation at different stages of COVID-19 disease through electron microscopy. METHODS: Bronchoalveolar fluids from the mild (n = 8, SpO2 > 95%, no hypoxia, within 2-8 days of infection), moderate (n = 8, SpO2 90% to ≤ 93% on room air, respiratory rate ≥ 24/min, breathlessness, within 9-16 days of infection), and severe (n = 8, SpO2 < 90%, respiratory rate > 30/min, external oxygen support, after 17th days of infection) COVID-19 patients were examined by PAP (cell type identification), immunofluorescence (for the level of viral infection), scanning (SEM), and transmission (TEM) electron microscopy to identify the syncytia. RESULTS: Immunofluorescence studies (S protein-specific antibodies) from each syncytium indicate a very high infection level. We could not find any syncytial cells in mildly infected patients. However, identical (neutrophils or type 2 pneumocytes) and heterotypic (neutrophils-monocytes) plasma membrane initial fusion (indicating initiation of fusion) was observed under TEM in moderately infected patients. Fully matured large-size (20-100 µm) syncytial cells were found in severe acute respiratory distress syndrome (ARDS-like) patients of neutrophils, monocytes, and macrophage origin under SEM. CONCLUSIONS: This ultrastructural study on the syncytial cells from COVID-19 patients sheds light on the disease's stages and types of cells involved in the syncytia formations. Syncytia formation was first induced in type II pneumocytes by homotypic fusion and later with haematopoetic cells (monocyte and neutrophils) by heterotypic fusion in the moderate stage (9-16 days) of the disease. Matured syncytia were reported in the late phase of the disease and formed large giant cells of 20 to 100 µm.

Preparation of PLA-based SMS nonwoven composites and its applications in protective apparel

The global COVID-19 pandemic has triggered a huge demand for the protective nonwovens. However, the main raw material of nonwovens comes from petroleum, and the massive consumption of petroleum-based polymers brings great pressure to ecosystem. Therefore, it is significant to develop biodegradable protective barrier products. In this work, a polylactic-based composite (a tri-layer nonwovens composed of spunbond, meltblown and spunbond, SMS) was prepared and applied for protective apparel. The surface morphology and chemical changes of the fibers were characterized and analyzed by scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FTIR) and energy dispersive spectroscopy (EDS). The liquid contact angle and permeability, breathability and moisture permeability, frictional charge and mechanical strength of the samples were evaluated and compared. The samples degradability was also recorded. The results demonstrate that the optimum formula for anti-fouling treatment on SMS is F-30. The treated fabric possesses superior liquid repellency and anti-permeability, with contact angles of water and alcohol at 128° and 115° respectively, while the alcohol repellent grade reaches level 7. The treated sample has less strength loss but exhibits favorable breathability, moisture permeability and anti-static properties, which can meet the requirements of protective apparels. After fluorine resin coating, the composite still provide excellent degradation performance, and the weight loss rate reaches more than 80% after 10 days water degradation. These results provide new insights for the application of PLA-based SMS in biodegradable protective apparel. © 2023 The Textile Institute.

In Situ Electrochemical Trapping and Unraveling the Mechanism of the Toxic Intermediate Metabolite N-Acetyl-p-Benzoquinone Imine of the Acetaminophen Drug and Its Biomimetic Mediated NADH Oxidation Reaction

The integrative study of the pharmacokinetics and dynamics of a drug has been of great research interest due to its authentic description of the biomedical and clinical pros and cons. Acetaminophen (N-acetyl-4-aminophenol, AcAP) is a well-known analgesic having a high therapeutic value, including the Covid-19 treatment. However, an overdose of the drug (>200 mg/kg of men) can lead to liver toxicity. An intermediate, N-acetyl-p-benzoquinone imine (NAPQI), metabolite formation has been found to be responsible for the toxicity. For the detection of NAPQI, several ex situ techniques based on electrochemical methods followed by nuclear magnetic resonance, high-performance liquid chromatography, and LC-MS were stated. For the first time, we report an in situ electrochemical approach for AcAP oxidation and NAPQI intermediate (Mw = 149.1 g mol-1) trapping on a graphitic nanomaterial, carbon black (CB)-modified electrode in pH 7 phosphate buffer solution (CB@NAPQI). The NAPQI-trapped electrode exhibited a surface-confined redox peak at E°′ = 0.350 ± 0.05 V vs Ag/AgCl with a surface excess value of 3.52 n mol cm-2. Physicochemical characterizations by scanning electron microscopy, Raman, FTIR, and in situ electrochemical quartz crystal microbalance (EQCM) techniques supported the entrapment of the molecular species. Furthermore, the scanning electrochemical microscopy (SECM) technique has been adopted for surface-mapping the true active site of the NAPQI-trapped electrode. As a biomimetic study, the mediated oxidation reaction of NADH by CB@NAPQI was demonstrated, and the mechanistic and quantitative aspects were studied using cyclic voltammetry, rotating disc electrode, amperometry, and flow injection analysis techniques. © 2023 American Chemical Society.

Nuclear medicine practices during the COVID-19 pandemic—review of some recently published protocols

BackgroundWith the global surge in COVID-19 pandemic, it has become inevitable for everyone, inclusive of nuclear medicine personnel, to play their role in combating and containing its transmission. During fall 2019, China encountered a novel coronavirus in Wuhan city which was later on termed as COVID-19. The pneumonia caused by COVID-19 is characterized by dry cough, fever, fatigue, and shortness of breathing (dyspnea). Until now, this virus has spread worldwide and continues to cause exponential causalities.Main bodyThis global catastrophic scenario calls for stringent measures to control COVID-19 infection. Thus herein, the respective authors have endeavored to review precautionary measures for nuclear medicine department, encompassing its personnel as well as the patients so that intradepartmental transmission can be prevented. This requires development and execution of a robust and dynamic plan elaborating the healthcare guidelines. Hence, our review paper covers the arena of nuclear medicine services in particular.ConclusionNuclear medicine can play its role in mitigating COVID-19 transmission to personnel and patients if provided with ample PPEs and guidelines are strictly followed. With implementing SOPs (standard operating procedures) based on these guidelines, nuclear medicine facilities will be better prepared for impromptu actions in case of any future outbreak while retaining the smooth flow of obligatory healthcare services.

From Deep Mutational Mapping of Allosteric Protein Landscapes to Deep Learning of Allostery and Hidden Allosteric Sites: Zooming in on "Allosteric Intersection" of Biochemical and Big Data Approaches.

The recent advances in artificial intelligence (AI) and machine learning have driven the design of new expert systems and automated workflows that are able to model complex chemical and biological phenomena. In recent years, machine learning approaches have been developed and actively deployed to facilitate computational and experimental studies of protein dynamics and allosteric mechanisms. In this review, we discuss in detail new developments along two major directions of allosteric research through the lens of data-intensive biochemical approaches and AI-based computational methods. Despite considerable progress in applications of AI methods for protein structure and dynamics studies, the intersection between allosteric regulation, the emerging structural biology technologies and AI approaches remains largely unexplored, calling for the development of AI-augmented integrative structural biology. In this review, we focus on the latest remarkable progress in deep high-throughput mining and comprehensive mapping of allosteric protein landscapes and allosteric regulatory mechanisms as well as on the new developments in AI methods for prediction and characterization of allosteric binding sites on the proteome level. We also discuss new AI-augmented structural biology approaches that expand our knowledge of the universe of protein dynamics and allostery. We conclude with an outlook and highlight the importance of developing an open science infrastructure for machine learning studies of allosteric regulation and validation of computational approaches using integrative studies of allosteric mechanisms. The development of community-accessible tools that uniquely leverage the existing experimental and simulation knowledgebase to enable interrogation of the allosteric functions can provide a much-needed boost to further innovation and integration of experimental and computational technologies empowered by booming AI field.

Face Mask and Body Temperature Scanning System for Covid-19

Coronavirus illness 2019 has had a major impact on the entire world over the past two to three years. One important approach for people's protection is to wear masks in public. Furthermore, putting on a mask properly Many public service providers demand that users only utilise the service while properly wearing masks. Only a small number of studies have examined face mask identification using image analysis, nevertheless. We suggest Face Mask, a highly accurate and practical face mask detector, in this study. The suggested Face Mask is a one-stage detector that combines a novel context attention module for detecting face masks with a feature pyramid network to fuse high-level semantic information with various feature maps. We also provide a brand-new cross-class object removal method to reject and predictions with a high intersection of union and low confidence. Additionally, we investigate the viability of integrating Face Mask with a portable or embedded neural network called MobileNet. By utilising1)Contactless temperature sensing,2)we create a fack mask detection alarm system to boost COVID-19 indoor safety.Infrared sensor and contactless temperature sensing subsystems rely on Arduino Uno, while computer vision algorithms are used for mask identification. © 2023 IEEE.

Evaluating the technological properties of fired clay bricks incorporated with palm kernel shell

Stepping up the extraction of valuable resources from the oil palm agro-industry was fraught with palm kernel shell (PKS) disposal challenges. One mitigating measure was to recover these materials for use in fired brick production. So PKS and clay materials were characterized for their physical, mineral and thermal properties. These characterizations revealed the high content of SiO2 and Al2O3 in the clay resources and the 95.60% organic content of PKS along with its estimated 21, 774.94 (kJ/kg) higher heating value (HHV). Indexed minerals from X-ray diffraction (XRD) studies of the clay material were kaolinite, quartz, calcite and goethite. Bricks prepared with the inclusion of up to 16 wt% PKS were fired at 900 and 1000 °C. For bricks fired at 1000 °C, bulk densities decreased from 2.07 to 1.54 g/cm3, apparent porosity increased up to 89.14%, water absorption increased from 100% in reference bricks to 203.54% with the addition of 16 wt% PKS. While compressive strengths decreases were in the range of 21.67–6.07 MPa, thermal insulation improved by 22%. Similar trends were established for bricks fired at 900 °C. The analyses showed that PKS addition was more effective in tailoring the technical properties of the bricks than changes in firing temperature. The marginal differences in technical properties of bricks fired at 1000 °C relative to the 900 °C fired brick units were understood from scanning electron microscopy (SEM) studies. Therefore, this research has provided compelling evidences for use of PKS in fired brick production. © 2023 Elsevier Ltd

Fake news in a time of plague: Exploring individuals' online information management in the COVID-19 era

Online health information is critical during pandemics. Previous research has focused on examining antecedents or consequences of particular information behaviors (e.g., seeking, sharing), but the process by which one information behavior influences or transforms into other information behaviors remains poorly understood. Guided by theories of information behavior and the literature on online misinformation, this study proposes an interaction model of online information behaviors that theorizes relationships among online information scanning, misinformation exposure, misinformation elaboration, information sharing, and information avoidance. Conducting a two-wave representative panel survey in Hong Kong during the COVID-19 pandemic (N = 1501), we found that online information scanning at Wave 1 had a direct, positive impact on misinformation exposure and information sharing at Wave 2, while it did not have an impact on information avoidance at Wave 2. Additionally, misinformation exposure was positively related to both information sharing and information avoidance at Wave 2. Importantly, we underlined that evaluations of crisis-related misinformation are aided by misinformation elaboration, which plays a moderating role in catalyzing appropriate information behaviors. Results of this study could help scholars and practitioners propose evidence-based interventions for enhancing the public's ability to manage crisis information on the Internet in times of heightened uncertainty. © 2023 Elsevier Ltd

AI Enabled Smart Campus for Health Safety and Monitoring

COVID 19 has had a major effect on society. In order to keep people's spacing, new requirements have been placed in place regarding the amount of users authorized in individual rooms in offices, shops, etc. Along with social distance, regular temperature verification at mall entrances are indeed permitted. An excellent embedded machine learning system is proposed in this work to identify face masks automatically and detect the body's temperature in a real-time application. The proposed system, in particular, utilizes a raspberry pi camera to capture real-time video simultaneously by identifying face masks with the help of a classification technique. The face mask detector is constructed by utilizing mobilenetv2 and imaging net pre-trained weights to consider three scenarios: wearing a mask correctly, wearing a mask incorrectly, and not wearing any at all. By placing a temperature gauge on a Raspberry Pi, a framework has also been developed for determining a person's body temperature. The numerical outcomes show the feasibility and performance of our integrated devices in compared to many cutting-edge research. This temperature and facemask detection device monitors a person's body heat and detects whether or not that person is wearing a facemask. Consequently, any organization's entrance could contain this device. In this study, the door is only released if the temperature is below 99° F, which would be calculated by the Electro Selective Pattern-32 images, the MLX sensor, and the fact that a person's face is 80% protected by a facemask. © 2023 IEEE.

The influence of supply chain risk management in healthcare supply chains performance

The challenges imposed by the business environment increasingly obligate supply chains to seek lower costs while maintaining high service levels. Healthcare supply chains face additional challenges since their main indicator is to save lives and provide care, nonetheless, keeping the revenue flow to support the activities. The covid-19 pandemic evidenced that a severe rupture in healthcare chains generates rupture in all other supply chains. In this sense, our paper has the objective of presenting a conceptual healthcare supply chain performance framework empirically validated by structural equation modelling. Our survey data were processed through the covariance-based structural equation modelling method, adopted for assessing the causal connection among the constructs. The paper revealed a relationship of supply chain integration, supply chain risk management, and supply chain 4.0 (antecedents) with healthcare supply chain performance (consequent). The literature contributions of this paper are (i) developing and validating a new scale for each construct;(ii) finding evidence of the causal relationships between the factors;(iii) measuring how the constructs influence the healthcare supply chain performance in both public and private healthcare sectors and providing discussion and tools to improve these results;(iv) this work empirically tested a theoretical framework;(v) the study reveals that the sector (public or private) has a moderating effect on all the constructs. Furthermore, the results of this study help to address some literature gaps identified by scholars having the potential to serve as a guide to organisations that are willing to implement these practices. Lastly, we recommend that HC supply chain managers consider the implementation of robust initiatives regarding SCRM, SCI, and SC40. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Research on two-dimensional code scanning and automatic recording device for human body temperature measurement based on stm32

With the outbreak and normal development of COVID-19, the effective detection and recording of body temperature has become a new focus of our attention. At present, there is no complete system to measure temperature, automatic record and specific information at home and abroad. To this end, combined with professional knowledge, our team designed a two-dimensional code scanning and human body temperature automatic recording device with STM32F1 as the core. The device STM32F1 development board is the main control chip. By connecting the WIFI module through the serial port, STM32F1 uses the function of wireless communication. Through the communication protocol, the link between the router and the ESC cloud server of Ali Cloud is utilized. The router or mobile data is transmitted to the user side (APP, applets) according to the specified communication protocol. Inside the development board, the code of each part is written to complete the device integrating code scanning and temperature measurement, which can be displayed and alarm through the node (OLED display screen). This will play a good role in preventing the spread of COVID-19. The system can be used in hospitals, communities, railway stations, shopping malls and many other public places. © 2022 IEEE.