Enterprises' Green Growth Model and Value Chain Reconstruction: Theory and Method

The goal of this book is to improve the ability of enterprises to implement the green growth model and value chain reconstruction. China's environmental development strategies, such as carbon peak emission and carbon neutrality, have created new challenges and requirements for enterprises to "go green.” In addition, anti-globalization and the complex dynamic uncertainty caused by COVID-19 have changed the operational environment that enterprises face. The application of new technologies, including the new generation of information technologies and the whole process management technology, provides solutions for the implementation of enterprises' green growth model and value chain reconstruction. Based on China's enterprise management cases, this book reveals the connotative features of enterprises' green growth model and their evolutionary regularities, the overall framework and decision optimization of value chain reconstruction under the green growth model, and the approach to implementing the green growth model and value chain reconstruction. The theoretical framework of the green growth model and value chain reconstruction established in this book has enriched and developed the research results in this field. Cases of enterprises implementing the green growth model can provide references for the green transformation of enterprises and help enterprises appreciate the synergy between sustainability and growth. This book can also serve as a research reference for scholars engaged in the field of sustainable operations, as well as decision-makers and managers of relevant government departments. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.

CRYSTAL: A novel and effective method to remove clouds in daily nighttime light images by synergizing spatiotemporal information

Satellite nighttime light (NTL) images offer a valuable depiction of the rapidly changing world by revealing the presence of artificial illumination. Thus, daily NTL images are increasingly applied to monitor human dynamics and environmental events. However, data gaps caused by cloud contamination and low-quality observations inevitably impair the effectiveness of such applications. Although a temporal gap-filling method is employed in recent Black Marble NTL products to produce seamless images, the filled images are unsuitable for quantitative analysis. Therefore, we developed an effective method, named as Cloud Removing bY Synergizing spatio-TemporAL information (CRYSTAL), to generate cloud-free NTL images with satisfactorily accurate pixel brightness and spatial continuity. Simulation experiments show that CRYSTAL can produce more accurate results than the temporal gap-filling method in fifteen cities worldwide, with an average RMSE reduction of 33.69%. Images generated by CRYSTAL restore temporal variances in NTL and are thus suitable for multi-temporal quantitative analysis. CRYSTAL can reconstruct daily NTL time series by filling gaps using available partially clear images. Experiments in two cities demonstrated that the reconstructed time series had 31.85% more valid values than the original time series and effectively revealed urban dynamics during the early stages of the coronavirus disease 2019 pandemic. In summary, CRYSTAL is a novel and effective gap-filling method for the restoration of invalid NTL observations and has the potential to generate high-quality NTL data for use in future applications.

Hand Surgical Simulation in the Pandemic Era: A Systematic Review

Introduction: The COVID-19 pandemic and duty hour restrictions have illuminated a role for surgical simulation in trainees that permits meaningful technical experience outside the operating room. There is a need for the implementation of surgical simulation infrastructure adjacent to clinical training with practical considerations for complexity and cost. This systematic review analyzes surgical simulations that train hand surgical techniques and procedures with subjective or objective competency assessment. Method(s): A systematic review was conducted according to PRISMA- P guidelines using the PubMed, Medline, Scopus, Embase, Web of Science, and Cochrane databases. Selected search terms included procedures relevant to the field of hand surgery and various types of simulation training. Data, including skills and techniques taught and assessed, model type, equipment, cost, and emphasis placed in training for each article, were extracted. Result(s): Of 2,519 articles, 40 met inclusion criteria. Models were described as: synthetic benchtop/3D-printed (40.0%), animal (22.5%), cadaveric (20.0%), augmented and virtual reality (AR/ VR;12.5%), and other computer simulation (12.5%). Three models incorporated both a physical benchtop component and an AR/ VR component. The procedures most represented included tendon repair (30.0%), fracture fixation (27.5%), wrist arthroscopy (15.0%), and carpal tunnel release (15.0%). Sixty-five percent of articles emphasized the importance of surgical simulation in a surgeon's training. Conclusion(s): A diversity of surgical simulation models exist for the practice of various aspects of hand surgery. The existing literature demonstrates their utility for increasing expertise with surgical techniques and procedures in a low-risk setting.

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.

Morphometric Examination of the Trachea and Bronchi in Follow-up Computed Tomography Scans of COVID-19 Patients

The purpose of this study is to evaluate changes in the trachea and bronchi using 3-dimensional reconstruction images obtained from the initial and follow-up computed tomography (CT) scans of COVID-19 patients. A hundred COVID-19 patients over the age of 18 were included in our study. CT images were transferred to Mimics software, and a 3-dimensional reconstruction of the trachea and bronchi was performed. The initial and follow-up CT images of COVID-19 patients were graded as none (grade 0), mild (grade 1), moderate (grade 2), and severe (grade 3) according to the total lung severity score. The patients were divided into progression and regression groups according to the grade increase/decrease between the initial and follow-up CTs. Moreover, the patients were divided into groups as 0-2 weeks, 2-4 weeks, 4-12 weeks, and over 12 weeks according to the duration between the initial and follow-up CTs. The mean cross-sectional area, circumference, and diameter measurements of the right upper lobar bronchus, intermediate bronchus, middle lobar bronchus, and left lower lobar bronchus decreased in the follow-up CTs of the progression group. This decrease was not found to be statistically significant. In the follow-up CTs of the regression group, the left upper lobar bronchus and left lower lobar bronchus measurements increased but not statistically significant. Upon comparing the onset of the disease and the follow-up period, statistically significant changes did not occur in the trachea, main bronchus, and lobar bronchus of COVID-19 patients.Copyright © 2023, Universidad de la Frontera. All rights reserved.

CCTwins: A Weakly-Supervised Transformer-based Crowd Counting Method with Adaptive Scene Consistency Attention

Recently, crowd counting has attracted significant attention, particularly in the context of the COVID-19 pandemic, due to its ability to automatically provide accurate crowd numbers in images. To address the challenges of location-level labeling, several transformer-based crowd counting methods have been proposed with only count-level supervision. However, these methods directly use the transformer as an encoder without considering the uneven crowd distribution. To address this issue, we propose CCTwins, a novel transformer-based crowd counting method with only count-level supervision. Specifically, we introduce an adaptive scene consistency attention mechanism to enhance the transformer-based model Twins-SVT-L for feature extraction in crowded scenes. Additionally, we design a multi-level weakly-supervised loss function that generates estimated crowd numbers in a coarse-to-fine manner, making it more appropriate for weakly-supervised settings. Moreover, intermediate features supervised by count-level labels are utilized to fuse multi-scale features. Experimental results on four public datasets demonstrate that our proposed method outperforms the state-of-the-art weakly-supervised methods, achieving up to a 16.6% improvement in MAE and up to a 13.8% improvement in RMSE across all evaluation settings. Moreover, the proposed CCTwins obtains competitive counting performance, even when compared to the state-of-the-art fully-supervised methods. IEEE

Orthopedic surgical scoring in asymptomatic COVID-19 patients

Aim: The purpose of this study is to create a scoring system to decide which patient will take maximum precautions while the covid 19 disease continues. Taking maximum precautions is not always possible in all surgical procedures. Therefore, surgical scoring in asymptomatic patients, selecting patients who need maximum precautions, and taking the necessary precautions for these patients will prevent unnecessary use of the equipment. Material(s) and Method(s): A total of 347 who were surgically treated for emergency or elective procedures between March 11 and November 11, 2020 were included in the study. Of these patients, 277 patients whose data could be accessed were included in the study. A scoring system has been created. Patients were divided into 2 groups: bearing low and high risk. Patients with a score above 10 were identified as having a high surgical risk, and those with a score below 10 were identified as having a low surgical risk. Result(s): There were 132 patients in Group 1 and 145 patients in Group 2. It was observed that 29 of 277 patients became positive within the first month. Two of these patients were in Group 1 and 27 of them were in Group 2. It was observed that COVID-19 antibody or PCR tests gave more positive results in patients in Group 2 in the first month compared to two patients in Group 1. The highest positivity rate in Group 2 was observed in the arthroscopy group. Discussion(s): Advanced precautions should be taken in patients with high surgical risk scores. In patients with low surgical risk scores, less strict precautions can be taken.Copyright © 2023, Derman Medical Publishing. All rights reserved.

Simultaneous induced membrane technique to reconstruct an obliterated floating knee.

The induced membrane technique, first described by Masquelet, is a powerful surgical approach that can be used to address segmental bone loss of various aetiologies. Despite ongoing debate regarding optimal delivery, the indications and limits of its application have been tested in increasingly complex situations, highlighting its considerable potential. We present a case of a devastating open lower limb injury with simultaneous femoral and ipsilateral tibial bone loss including articular injury on both sides of the joint. The Masquelet technique was used to successfully address both segments of bone loss within the same limb.

Psychological impact of the COVID-19 pandemic on breast cancer patients.

PURPOSE: The COVID-19 pandemic uniquely impacted patients with breast cancer as mastectomies were allowed to proceed, yet breast reconstruction surgeries were halted. The purpose of this study was to examine the effect of the COVID-19 pandemic on the rates of breast reconstruction and patients' well-being. METHODS: A chart review included all patients who underwent mastectomy from December 2019 to September 2021. Patients were contacted by a member of the research team and asked to participate in a COVID-19-specific survey and to complete the Hospital Anxiety and Depression Scale (HADS). Patients were then grouped into "surge" or "nonsurge" groups based on the date of mastectomy. RESULTS: Two hundred and fifty-nine patients were included in this study. During the study period, 42% (n = 111) of the patients underwent breast reconstruction. The "surge" group included 106 patients whereas the "nonsurge" group included 153 patients. Fewer patients began breast reconstruction during the surge period compared with the nonsurge period (34.0% vs. 49.0%, p = 0.017). Eighty-six patients participated in the COVID-19 survey. Forty-one percent (n = 35) of the patients felt that their care was disrupted because of COVID-19. Eighty-three patients completed the HADS survey. Overall, 16.8% and 15.7% of the respondents fell into the moderate to severe ranges for both anxiety and depression scales, respectively. CONCLUSIONS: Patients with breast cancer have faced increased difficulties with access to breast reconstruction throughout the COVID-19 pandemic. Our institution demonstrated decreased rates of breast reconstruction and an increase in anxiety and depression. The positive benefits of breast reconstruction cannot be overlooked when determining resource allocation in the future.

Metastatic Melanoma: A Consequence of the COVID-19 Pandemic.

Metastatic melanoma, though less common than other skin cancers, remains one of the deadliest, particularly in late-stage disease. Our report aims to highlight the importance of early detection and treatment to reduce the morbidity, mortality, and significant disfigurement associated with advanced melanoma. The subject of this case is an 81-year-old female who presented to our emergency department as a trauma patient after being found lying down by a neighbor for an unknown amount of time. She was discovered to have a large fungating nasal mass which was subsequently diagnosed as highly invasive melanoma. A thorough workup revealed a metastatic cerebellar lesion, a large ulcerated basal cell carcinoma eroding her calvarium, and a hemorrhagic lesion within her internal capsule that left her with right-sided hemiparesis. During hospitalization, she underwent palliative resection of the primary nasal mass with flap reconstruction, radiation therapy for her cerebellar lesion, and daily physical therapy. Additional surgery was required for hematoma evacuation and pedicle dissection. Though lockdowns were an important part of the pandemic, they were not without their drawbacks, many of which are still being elucidated. Particularly, by utilizing telehealth services, our patient may have had earlier recognition of her melanoma and a better outcome. Regardless, enhancing patient education and maintaining access to care even through lockdowns poses a potential target for improving melanoma survivability while decreasing associated morbidity.

The Role of Greenery in Stress Reduction among City Residents during the COVID-19 Pandemic.

Cities, as places of social interactions and human relationships, face new challenges, problems, and threats, which are sources of stress for residents. An additional cause of stress in recent years has been the COVID-19 pandemic; it was urban dwellers who were most exposed to the virus and most affected by it. Chronic stress has led to the serious erosion of physical health and psychophysical well-being among urban dwellers, and so there is a need to seek new solutions in terms of building the resilience of cities and their residents to stress. This study aims to verify the hypothesis that greenery reduced the level of stress among urban dwellers during the pandemic. The verification of this hypothesis was achieved based on a literature analysis and the results of geo-questionnaire studies conducted involving 651 residents of Poznan-among the largest of Polish cities, where the share of green areas in the spatial structure is more than 30%. According to the analysis, the interviewees experienced above-average stress levels that went up during the pandemic, and the source was not so much the virus but the restrictions imposed. Green areas and outdoor activities helped in reducing this stress (being surrounded by and looking at greenery, garden work, or plant cultivation). Residents perceive a post-pandemic city as one that is more green, in which priority is given to unmanaged green areas. It has also been pointed out that a response to the reported need for urban re-construction towards stress resilience may be a biophilic city.

Successful Administration of Preoperative Botox for Giant Omphalocele Repair With Ultrasound Guidance.

We present a case of a four-year-old male with a history of giant omphalocele who underwent ultrasound-guided Botox injection to bilateral anterior abdominal wall musculature in preparation for definitive repair. Botox administration was successfully combined with preoperative subfascial tissue expanders to achieve definitive midline closure of the anterior abdominal wall defect. Our experience suggests that Botox can be safely used as part of the treatment plan for giant omphalocele repair.

63 - Rehabilitation and Reconstruction

Recovery is a multifactorial process including the physical reconstruction of homes and public buildings, transportation, and basic services infrastructure, the psychological mending of the community, and the economic recovery of lost time and resources. This phase of the disaster cycle cannot be considered in isolation from the others, because mitigation, for example, must be integrated into recovery for it to be sustainable. Moreover, the historical perspective of the recovery phases is also inevitably enriched by the SARS-CoV-2 pandemic. Indeed, this pandemic highlights the overlap between the different phases of the disaster cycle: in particular, the mitigation, the planning/preparation, and the recovery phases with that of response, making the recovery phase even more difficult.

Image Reconstruction for COVID-19 Using Multifrequency Electrical Impedance Tomography

Multifrequency electrical impedance tomography (MfEIT) is a technique that allows the visualization of images inside the body through the characterization of electrical impedance, conductivity or permissiveness in a given frequency range, as well as the characterization of body tissue analyzed. Usually, several alternating electrical currents are injected through electrodes connected to the surface of the body under study, and the resulting voltages are measured and stored for processing and obtaining an image. The image reconstruction algorithm uses the data set of measurements of applied currents and voltages measured at each electrode, calculating the distributions of conductivity, permittivity, or resistivity within the conductive volume studied. The reconstruction of images by direct methods is widely used in applications that require rapid reconstruction and lower computational cost, such as the monitoring of pulmonary mechanical ventilation in ICU beds in patients intubated due to COVID-19. In this chapter, we present the basic characteristics so that a wireless, low-cost, and portable MfEIT system can be implemented, as well as the definitions and modeling of the two-dimensional D-bar method for image reconstruction. Clinical parameters of patients diagnosed with COVID-19 are used to implement some reconstructions of images, as well as to bring a discussion about the efficiency of this technology for this clinical condition. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

The role of lean information flows in disaster construction projects: exploring the UK's Covid surge hospital projects

A substantive body of work in project studies argues that an "information flow" lens is very useful in exploring the project management of construction. This paper posits that this is even more applicable to disaster construction projects and, furthermore, lean information flow may play a role in swiftly delivering the disaster construction project. The paper uses the qualitative empirics of the delivery of the UK's Covid surge hospital projects to demonstrate that lean information flows were employed in these projects and assisted in enabling delivery at speed. The paper also describes the autopoietic governance conditions that are necessary for lean information flows to flourish in disaster construction projects and the role that trust may play in these conditions. It warns against some of the drawbacks in enabling lean communication through autopoietic governance.

Surgical Lip Cancer Reconstruction in the COVID-19 Era: Are Free Flaps or Loco-Regional Flaps Better?

Lip carcinoma is one of the most frequent conditions affecting the general population. It is among the ten most common neoplasms, but despite advances in research and therapy, its prognosis has not improved in a significant way in the past few years, making it a challenge in the medical research field and in surgical treatment. This study was conducted with the aim of evaluating the available reconstructive surgical options for the treatment of lip carcinomas in order to define which could be the most appropriate technique to achieve satisfying aesthetic and functional outcomes considering hospital resources in the COVID-19 era. Seventeen patients were included in this retrospective study, which took place between January 2019 and April 2021. There were two groups: seven patients who underwent a radial forearm free flap and ten who underwent locoregional flaps. The statistical analysis was performed to evaluate four different endpoints. Surgical length, ICU stay, and hospitalization time were minor for locoregional flaps. There was no statistically significant difference between the two groups when considering post-operative complications. Locoregional flaps have a more aesthetically pleasing result, but from a functional point of view, the results can be superimposable. Both techniques are associated with adequate speech, mouth opening, sealing, and symmetry. Given the impact of the COVID-19 pandemic on the healthcare system, locoregional flaps have been proven to be a good surgical option in the reconstruction of lip defects both in terms of aesthetics and functional outcome. © 2023 by the authors.

The Introduction of the National Recovery and Resilience Plans in the Light of the Visegrád Grup Countries' Experience

National Recovery and Resilience Plans (NRPs) set out the objectives for recovery and building the socio-economic resilience of EU Member States following the crisis caused by COVID-19. In their framework, countries also declare the introduction of structural reforms and investments for their implementation. The author aims to offer a closer look at and characterize the adoption procedure and basic assumptions of the National Recovery and Resilience Plans developed by Visegrád Group Member States, which are among the greatest beneficiaries of the Plans. Thus, it is worth zooming in on the national design and approval procedures for the various recovery plans, their basic assumptions, and procedures for their approval by Union bodies. The reason for researching this issue is the characteristic distribution of accents in existing research. On the one hand, there are many publications on the European Instrument for Reconstruction and Enhancement of Resilience. On the other hand, the analysis of the National Recovery and Resilience Plans of the Visegrad Group countries has not, so far, been the scope of broader legal and comparative research. © 2023, Spoldzielczy Instytut Naukowy. All rights reserved.

Restore C19 national practice survey: The position of UK delayed breast reconstruction services

Introduction: The offer of immediate breast reconstruction (IBR) was temporarily withdrawn for women requiring mastectomy during the COVID-19 pandemic to allow prioritisation of emergency care. Many women are now awaiting delayed breast reconstruction (DBR) surgery. This survey aimed to explore the current provision of DBR in the UK and how this had been impacted by COVID-19. Method(s): An online survey was distributed to UK breast units via the ABS/Mammary Fold newsletters and social media feeds between 10/2021 and 04/2022. Simple descriptive statistics were used to summarise the results. Result(s): Of the 42 UK breast units that completed the survey, most units reported that COVID-19 had led to increased waits for DBR. Before the pandemic over three quarters of units reported waits of less than 1 year (29% <6 months, 45% 6-12 months) whereas currently waits of 12-24 months are common with a third of units reporting waits of 24-36 months. A small number of units reported waits of >3 years or that DBR had not yet restarted (14%). Key identified challenges for DBR services included limited availability of theatre time and consultant and/or theatre/nursing staff, and a lack of in-patient capacity for post-operative recovery. Conclusion(s): Waiting times for DBR have been negatively impacted by COVID-19. As reconstruction is an integral part of women's breast cancer treatment, there is an urgent need to develop a recovery plan to address this issue, support patients and allow women to access reconstructive surgery in a timely manner.Copyright © 2023

Reducing radiation dose for NN-based COVID-19 detection in helical chest CT using real-time monitored reconstruction.

Computed tomography is a powerful tool for medical examination, which plays a particularly important role in the investigation of acute diseases, such as COVID-19. A growing concern in relation to CT scans is the radiation to which the patients are exposed, and a lot of research is dedicated to methods and approaches to how to reduce the radiation dose in X-ray CT studies. In this paper, we propose a novel scanning protocol based on real-time monitored reconstruction for a helical chest CT using a pre-trained neural network model for COVID-19 detection as an expert. In a simulated study, for the first time, we proposed using per-slice stopping rules based on the COVID-19 detection neural network output to reduce the frequency of projection acquisition for portions of the scanning process. The proposed method allows reducing the total number of X-ray projections necessary for COVID-19 detection, and thus reducing the radiation dose, without a significant decrease in the prediction accuracy. The proposed protocol was evaluated on 163 patients from the COVID-CTset dataset, providing a mean dose reduction of 15.1% while the mean decrease in prediction accuracy amounted to only 1.9% achieving a Pareto improvement over a fixed protocol.