bluuebunny/crossref_metadata_2025 huggingface dataset:
YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images
Authors: Wan Dahang , Lu Rongsheng , Wang Sailei , Shen Siyuan , Xu Ting , Lang Xianli
Published: January 2023

Object detection is essential to the interpretation of optical remote sensing images and can serve as a foundation for research into additional visual tasks that utilize remote sensing. However, the object detection network currently employed in optical remote sensing images underutilizes the output of the feature pyramid, so there remains potential for an improved detection. At present, a suitable balance between the detection efficiency and detection effect is difficult to attain. This paper proposes an enhanced YOLOv5 algorithm for object detection in high-resolution optical remote sensing images, utilizing multiple layers of the feature pyramid, a multi-detection-head strategy, and a hybrid attention module to improve the effect of object-detection networks for use with optical remote sensing images. According to the SIMD dataset, the mAP of the proposed method was 2.2% better than YOLOv5 and 8.48% better than YOLOX, achieving an improved balance between the detection effect and speed.
A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation
Authors: Vavoulis Athanasios , Figueiredo Patricia , Vourvopoulos Athanasios
Published: January 2023

Motor imagery (MI)-based brain–computer interfaces (BCI) have shown increased potential for the rehabilitation of stroke patients; nonetheless, their implementation in clinical practice has been restricted due to their low accuracy performance. To date, although a lot of research has been carried out in benchmarking and highlighting the most valuable classification algorithms in BCI configurations, most of them use offline data and are not from real BCI performance during the closed-loop (or online) sessions. Since rehabilitation training relies on the availability of an accurate feedback system, we surveyed articles of current and past EEG-based BCI frameworks who report the online classification of the movement of two upper limbs in both healthy volunteers and stroke patients. We found that the recently developed deep-learning methods do not outperform the traditional machine-learning algorithms. In addition, patients and healthy subjects exhibit similar classification accuracy in current BCI configurations. Lastly, in terms of neurofeedback modality, functional electrical stimulation (FES) yielded the best performance compared to non-FES systems.
Experimental Analysis of the Thermal Performance of Wood Fiber Insulating Panels
Authors: Asdrubali Francesco , Evangelisti Luca , Guattari Claudia , Roncone Marta , Milone Daniele
Published: January 2023

During the last decades, attention to energy and environmental problems has significantly grown, along with the development of international and national policies addressing sustainability issues. In the construction sector, one of the most widespread energy efficiency strategies consists of thermal insulation of buildings thanks to external insulating panels. Among these, wood fiber is an insulating material characterized by a natural, eco-sustainable and biodegradable structure, coming from the recycling of waste wood from sawmills. The present study aimed to characterize small test building insulated with wood fiber panels from the thermal point of view, comparing the results with those of an identical, non-insulated reference test building. The experimental campaign highlighted several advantages and an excellent thermal performance provided by the eco-sustainable solution of wood fiber insulating panels: Lower values of the thermal transmittance (−57%), thus ensuring greater stability of the internal air temperature and better values in terms of attenuation (−60% in summer and −74 % in winter) and phase shift (+2 h in summer and +2.28 h in winter) compared to those obtained from the reference building. The material is also equipped with an Environmental Performance Declaration (EPD) that certifies its environmental benefits.
Differential Response of Brassica Cultivars to Potentially Toxic Elements and Their Distribution in Different Plant Parts Irrigated with Metal-Contaminated Water
Authors: Dahlawi Saad , Sadiq Muhammad , Sabir Muhammad , Farooqi Zia Ur Rahman , Saifullah  , Qadir Ayesha Abdul , Faraj Turki Kh
Published: January 2023

The increasing concentration of potentially toxic elements (PTEs) in agricultural soils has greatly disturbed the quality and productivity of soils. In this study, we investigated the uptake and distribution of cadmium (Cd), lead (Pb), and nickel (Ni) by two Brassica cultivars (Khanpur raya and Sandal canola) grown on soil irrigated with metal-contaminated water. Distilled water was spiked with salts to prepare irrigation water with various levels of metals (Ni application at 90, Cd at 20, Pb at 500, Ni + Pb at 20 + 500, Ni + Cd at 90 + 20, Cd + Pb at 20 + 500, and Ni + Cd + Pb at 90 + 20 + 500 mg L−1). These treatments were compared with water without the addition of any salt. The results indicated that compared to the control treatment, increasing metal concentrations decreased the shoot weight (44.25%, 29.03%), root length (33.33%, 12.74%), and shoot length (19.73%, 11.06%) in Khanpur raya and Sandal canola, respectively. Compared to the control treatment, irrigation with contaminated water decreased the photosynthesis rate (98.42%, 99.34%), chlorophyll content (18.27%, 13.73%), respiration rate (7.97%, 6.47%), and transpiration rate (9.90%, 33.33%) in both varieties, respectively. Notably, the concentrations of Ni (0.01 and 0.003), Cd (0.01 and 0.012), and Pb (0.03 and 0.05%) in the seeds were increased, as well as in Khanpur raya and Sandal canola, respectively, compared to the controls. Furthermore, the PTE accumulation in different components was recorded, with the order of soil > root > shoot > seed. It was observed that brassica cultivars differed significantly in their response to the growth and accumulation of PTEs in edible parts. It was concluded that Khanpur raya did not exhibit a decline in growth due to PTEs in irrigation water and prevented the translocation of PTEs towards edible parts compared to Sandal canola and thus can be safely grown in soils receiving PTE-contaminated water.
Study of Energy Transition Paths and the Impact of Carbon Emissions under the Dual Carbon Target
Authors: Wang Kun , Ouyang Li , Wang Yue
Published: January 2023

In recent years, the world’s environmental problems have become increasingly serious, and energy transition and carbon emission issues have gradually gained attention from various countries. China has promulgated several policies and adopted various reform measures to achieve a comprehensive energy transition and carbon neutrality as soon as possible. Therefore, this study makes researches and forecasts the energy transition and carbon emissions in China under the dual carbon target. A LEAP (Long range Energy Alternatives Planning) model is developed to analyze the energy parameters of Beijing under various scenarios and to provide a quantitative analysis basis for the energy transition path. The obtained experimental results indicate that the energy demand under the partial energy transition scenario and full energy transition scenarios are 68.651 million tons of standard coal and 75.759 million tons of standard coal, respectively, forming an effective control, while the carbon emissions both achieve the carbon peak in 2025 at 81.903 million tons and 80.624 million tons respectively, and achieve 46.588 million tons in 2060. The carbon-neutral pathway reaches the carbon peak in 2025, and approaches full energy transition in 2035, and finally reaches the full energy transition control effect in 2060. To date, most of the relevant studies have been conducted in a qualitative way, and the amount of quantitative analysis is insufficient. At the same time, research on the development path specifically at the city level is relatively insufficient as well. Therefore, the present study can provide a theoretical basis for specifying the promotion method of urban energy transformation and the path of carbon emission reduction.
PM2.5 Concentration Prediction Using GRA-GRU Network in Air Monitoring
Authors: Qing Ling
Published: January 2023

In recent years, green, low carbon and sustainable development has become a common topic of concern. Aiming at solving the drawback of low accuracy of PM2.5 concentration prediction, this paper proposes a method based on deep learning to predict PM2.5 concentration. Firstly, we comprehensively consider various meteorological elements such as temperature, relative humidity, precipitation, wind, visibility, etc., and comprehensively analyze the correlation between meteorological elements and PM2.5 concentration. Secondly, the time series data of PM2.5 concentration monitoring stations are used as the reference sequence and comparison sequence in the gray correlation analysis algorithm to construct the spatial weight matrix, and the spatial relationship of the original data is extracted by using the spatial weight matrix. Finally, we combine the forgetting and input threshold to synthesize the updated threshold, merge the unit state and the hidden state, and use the Gate Recurrent Unit (GRU) as the core network structure of the recurrent neural network. Compared with the traditional LSTM model, the GRU model is simpler. In terms of convergence time and required epoch, GRU is better than the traditional LSTM model. On the basis of ensuring the accuracy of the model, the training time of the model is further reduced. The experimental results show that the root mean square error and the average absolute error of this method can reach 18.32 ug⋅m−3 and 13.54 ug⋅m−3 in the range of 0–80 h, respectively. Therefore, this method can better characterize the time series characteristics of air pollutant changes, so as to make a more accurate prediction of PM2.5 concentration.
The Teaching Quality Evaluation of Chinese-Foreign Cooperation in Running Schools from the Perspective of Education for Sustainable Development
Authors: Huang Lirong , Zhang Wenli , Jiang Hongbo , Wang Jin-Long
Published: January 2023

As one of the important ways to cultivate internationalized and highly competitive talents, Chinese-foreign cooperation in running schools (CFCRS) is very significant to education for sustainable development (ESD). From the perspective of ESD, we developed a teaching quality evaluation model using 18 indicators in 4 dimensions: resource input, faculty environment, teaching process, and teaching outcome. The DANP (Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process) method is used to explore the mutual influence relationship of teaching quality in CFCRS, and the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is used in this empirical study. The results show that the evaluation dimensions listed by impact level from big to small are as follows: teaching outcome, teaching process, faculty environment, and resource input. Among them, resource input and faculty environment are the cause dimensions, while teaching process and teaching outcome are the result dimensions. Academic support is the most influential indicator, followed by teaching resource and teaching management, and the teacher’s nationality is the least influential indicator. The CFCRS A of a comprehensive university in the developed region of China has the highest comprehensive score, followed by the CFCRS C of an applied science and technology university and CFCRS B of a comprehensive university in the underdeveloped region. The teaching quality of CFCRS can be improved by increasing the frequency of academic activities, strengthening teacher training, reinforcing curriculum and discipline management, and encouraging students to participate in competitions and paper publications.
Special Issue: Technology-Enabled Interdisciplinary Learning in Economic/Business Studies
Authors: Bobek Samo , Zimmermannová Jarmila , Sternad Zabukovšek Simona
Published: January 2023

Recent developments are transforming teaching paradigms in the area of business and economic studies [...]
Protection System and Preservation Status for Heritage of Industrial Modernization in China—Based on a Case Study of Shenyang City
Authors: Sun Bingyu , Ikebe Konomi , Han Yirui , He Xiangting
Published: January 2023

Many Chinese people view the heritage of industrial modernization (HOIM) negatively, which leads to a lack of appreciation and conservation efforts. This study aims to verify and discuss the efficacy of the present protection system, examining the link between HOIM facility openness and its affecting aspects. To achieve this goal, this study establishes a database of 132 projects focused on HOIM in Shenyang, a prototypical city of China’s contemporary growth. It analyzes their distribution patterns and preservation condition, and analytical methods such as correspondence analysis and regression analysis are used. The results reveal that factors such as private enterprises as facility users and conversion into cultural and commercial facilities have a positive impact on the openness of HOIM, of which cases increased after the establishment of the local protection system. To use private capital more flexibly and effectively, ways to improve the relationship between the rights and obligations of the government and private subjects in the protection system must be considered in future. This study clarifies the panorama of the conservation situation of HOIM and offers insights that may contribute to improving the protection system in local cities in China, such as Shenyang, in the future.
Dancing with Giants: A Unified Framework for Cooperation Networks, Speed of Internationalisation, and Performance
Authors: Mendes Telma , Silva Carina , Braga Alexandra
Published: January 2023

This study aims to explore whether the speed of internationalisation—measured by the change in international scale and the change in international scope—can mediate the relationship between network clustering (cooperation networks) and clustered firms’ performance. A quantitative methodology was used to accomplish this purpose, and the research model was tested using the Partial Least Squares Structural Equation Modelling (PLS-SEM). Based on a sample of 1491 Portuguese firms, this paper showed that network clustering directly and positively impacts clustered firms’ performance. When considering the effect of the speed of internationalisation, the study revealed that network clustering also has an indirect, mediated impact on firms’ performance, through the change in international scope (geographical diversification). Conversely, when accounting for the mediation of the change in international scale (degree of internationalisation), the results confirmed that this dimension of speed does not mediate the relationship between network clustering and firms’ performance. This evidence, therefore, stresses the role of geographical diversification in shaping how well the clustered firms perform based on the networks established through industrial clusters.
Uncertainty Quantification of the CO2 Storage Process in the Bunter Closure 36 Model
Authors: Ahmadinia Masoud , Sadri Mahdi , Nobakht Behzad , Shariatipour Seyed M.
Published: January 2023

The UK plans to bring all greenhouse gas emissions to net-zero by 2050. Carbon capture and storage (CCS), an important strategy to reduce global CO2 emissions, is one of the critical objectives of this UK net-zero plan. Among the possible storage site options, saline aquifers are one of the most promising candidates for long-term CO2 sequestrations. Despite its promising potential, few studies have been conducted on the CO2 storage process in the Bunter Closure 36 model located off the eastern shore of the UK. Located amid a number of oil fields, Bunter is one of the primary candidates for CO2 storage in the UK, with plans to store more than 280 Mt of CO2 from injections starting in 2027. As saline aquifers are usually sparsely drilled with minimal dynamic data, any model is subject to a level of uncertainty. This is the first study on the impact of the model and fluid uncertainties on the CO2 storage process in Bunter. This study attempted to fully accommodate the uncertainty space on Bunter by performing twenty thousand forward simulations using a vertical equilibrium-based simulator. The joint impact of five uncertain parameters using data-driven models was analysed. The results of this work will improve our understanding of the carbon storage process in the Bunter model before the injection phase is initiated. Due to the complexity of the model, it is not recommended to make a general statement about the influence of a single variable on CO2 plume migration in the Bunter model. The reservoir temperature was shown to have the most impact on the plume dynamics (overall importance of 41%), followed by pressure (21%), permeability (17%), elevation (13%), and porosity (8%), respectively. The results also showed that a lower temperature and higher pressure in the Bunter reservoir condition would result in a higher density and, consequently, a higher structural capacity.
Sustainable Management Behavior of Farmland Shelterbelt of Farmers in Ecologically Fragile Areas: Empirical Evidence from Xinjiang, China
Authors: Cheng Pengfei , Li Jie , Zhang Hongli , Cheng Guanghua
Published: January 2023

The farmland shelterbelt is an important artificial ecological project for improving farmland microclimates, ensuring agricultural production, and promoting sustainable development in China’s ecologically fragile areas. Due to the quasi-public attribute, farmland shelterbelts were mainly constructed and managed by the government in the past. In recent years, the reform of the separation of three rights in collective forestland and the mechanism of “private supply of public goods” have prompted farmers to participate in the modern forest management system. However, there is a lack of consistency between farmers’ management intentions and actual contract operation and management behaviors, resulting in weakened management and protection in many places, which seriously restricts the construction efficiency of farmland shelterbelts. Therefore, based on the survey data and planning behavior theory (TPB) of 1106 farmers in 16 major agricultural production areas (counties) in Xinjiang, this study aims to explore the key factors affecting farmers ‘forestry management and production decision making and to verify the transformation mechanism of farmers’ behavior through path analysis. The results show that the management decisions of farmers in ecologically fragile areas follow the path form of “cognitive → intention → behavior”, in which the multi-dimensional cognition of farmers has a significant impact on farmers’ behavioral intention, while the effect on behavioral response is relatively small, which currently depends on the promotion of ecological compensation and government behavior. Finally, this study puts forward countermeasures and suggestions for continuously stimulating the farmers’ forest operation behavior and provides policy reference for promoting the sustainable development of farmland shelterbelts in ecologically fragile areas put forward countermeasures and suggestions for continuously stimulating farmers’ forestry behavior.
Protein Arginylation Is Regulated during SARS-CoV-2 Infection
Authors: Macedo-da-Silva Janaina , Rosa-Fernandes Livia , Gomes Vinicius de Morais , Santiago Veronica Feijoli , Santos Deivid Martins , Molnar Catarina Maria Stanischesk , Barboza Bruno Rafael , de Souza Edmarcia Elisa , Marques Rodolfo Ferreira , Boscardin Silvia Beatriz , Durigon Edison Luiz , Marinho Claudio Romero Farias , Wrenger Carsten , Marie Suely Kazue Nagahashi , Palmisano Giuseppe
Published: January 2023

Background: In 2019, the world witnessed the onset of an unprecedented pandemic. By February 2022, the infection by SARS-CoV-2 has already been responsible for the death of more than 5 million people worldwide. Recently, we and other groups discovered that SARS-CoV-2 infection induces ER stress and activation of the unfolded protein response (UPR) pathway. Degradation of misfolded/unfolded proteins is an essential element of proteostasis and occurs mainly in lysosomes or proteasomes. The N-terminal arginylation of proteins is characterized as an inducer of ubiquitination and proteasomal degradation by the N-degron pathway. Results: The role of protein arginylation during SARS-CoV-2 infection was elucidated. Protein arginylation was studied in Vero CCL-81, macrophage-like THP1, and Calu-3 cells infected at different times. A reanalysis of in vivo and in vitro public omics data combined with immunoblotting was performed to measure levels of arginyl-tRNA-protein transferase (ATE1) and its substrates. Dysregulation of the N-degron pathway was specifically identified during coronavirus infections compared to other respiratory viruses. We demonstrated that during SARS-CoV-2 infection, there is an increase in ATE1 expression in Calu-3 and Vero CCL-81 cells. On the other hand, infected macrophages showed no enzyme regulation. ATE1 and protein arginylation was variant-dependent, as shown using P1 and P2 viral variants and HEK 293T cells transfection with the spike protein and receptor-binding domains (RBD). In addition, we report that ATE1 inhibitors, tannic acid and merbromine (MER) reduce viral load. This finding was confirmed in ATE1-silenced cells. Conclusions: We demonstrate that ATE1 is increased during SARS-CoV-2 infection and its inhibition has potential therapeutic value.
Do All Critically Ill Patients with COVID-19 Disease Benefit from Adding Tocilizumab to Glucocorticoids? A Retrospective Cohort Study
Authors: Mussini Cristina , Cozzi-Lepri Alessandro , Meschiari Marianna , Franceschini Erica , Burastero Giulia , Faltoni Matteo , Franceschi Giacomo , Iadisernia Vittorio , Volpi Sara , Dessilani Andrea , Gozzi Licia , Conti Jacopo , Del Monte Martina , Milic Jovana , Borghi Vanni , Tonelli Roberto , Brugioni Lucio , Romagnoli Elisa , Pietrangelo Antonello , Corradini Elena , Girardis Massimo , Busani Stefano , Cossarizza Andrea , Clini Enrico , Guaraldi Giovanni
Published: January 2023

Background: Treatment guidelines recommend the tocilizumab use in patients with a CRP of >7.5 mg/dL. We aimed to estimate the causal effect of glucocorticoids + tocilizumab on mortality overall and after stratification for PaO2/FiO2 ratio and CRP levels. Methods: This was an observational cohort study of patients with severe COVID-19 pneumonia. The primary endpoint was day 28 mortality. Survival analysis was conducted to estimate the conditional and average causal effect of glucocorticoids + tocilizumab vs. glucocorticoids alone using Kaplan–Meier curves and Cox regression models with a time-varying variable for the intervention. The hypothesis of the existence of effect measure modification by CRP and PaO2/FiO2 ratio was tested by including an interaction term in the model. Results: In total, 992 patients, median age 69 years, 72.9% males, 597 (60.2%) treated with monotherapy, and 395 (31.8%), adding tocilizumab upon respiratory deterioration, were included. At BL, the two groups differed for median values of CRP (6 vs. 7 mg/dL; p < 0.001) and PaO2/FiO2 ratio (276 vs. 235 mmHg; p < 0.001). In the unadjusted analysis, the mortality was similar in the two groups, but after adjustment for key confounders, a significant effect of glucocorticoids + tocilizumab was observed (adjusted hazard ratio (aHR) = 0.59, 95% CI: 0.38–0.90). Although the study was not powered to detect interactions (p = 0.41), there was a signal for glucocorticoids + tocilizumab to have a larger effect in subsets, especially participants with high levels of CRP at intensification. Conclusions: Our data confirm that glucocorticoids + tocilizumab vs. glucocorticoids alone confers a survival benefit only in patients with a CRP > 7.5 mg/dL prior to treatment initiation and the largest effect for a CRP > 15 mg/dL. Large randomized studies are needed to establish an exact cut-off for clinical use.
Adverse Effects of Pfizer (BioNTech), Oxford-AstraZeneca (ChAdOx1 CoV-19), and Moderna COVID-19 Vaccines among the Adult Population in Saudi Arabia: A Cross-Sectional Study
Authors: Aldali Jehad , Meo Sultan Ayoub , Al-Khlaiwi Thamir
Published: January 2023

The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) outbreak has caused massive damage to the global healthcare system and economy. To compete with the SARS-COV-2 pandemic, several vaccines have been proposed to immunize the population. The present study aimed to investigate the adverse effects following the three doses of COVID-19 vaccination, Pfizer (BioNTech), (Oxford-AstraZeneca (ChAdOx1 CoV-19), and Moderna among the adult population in the Eastern province of Saudi Arabia. In this study, the total number of participants were 426, among them 277 (65%) were females and 149 (35%) were males. An online survey using Google forms in the English language and translated into the Arabic language was used to record the information. The questionnaire was distributed to participants who received either Pfizer-BioNTech, Oxford-AstraZeneca or Moderna vaccines. The general characteristics of participants were obtained, alongside an evaluation of the vaccination’s adverse effects. The results revealed that Pfizer-BioNTech COVID-19 vaccines caused significantly less adverse effects than Oxford–AstraZeneca (ChAdOx1) and Moderna (p < 0.001), and females experienced more adverse effects after vaccination compared to males. Injection site pain was the most common adverse event among the participants (60.6%), followed by fatigue, headache, and pain (43.9%), muscle and joint pain (32.4%), increased body temperature and shivering (24.2%). In addition, the group of individuals under the age of sixty was more likely to experience side effects than the participants with other age groups. All three vaccines, Pfizer-BioNTech, Oxford–AstraZeneca (ChAdOx1 CoV-19) and Moderna, cause post-vaccinal adverse effects; however, Moderna and Oxford–AstraZeneca (ChAdOx1) causes adverse effects more frequently than the Pfizer-BioNTech.
COVID-19, SARS-CoV-2 Vaccination, and Human Herpesviruses Infections
Authors: Maple Peter A. C.
Published: January 2023

There are several human herpesviruses. A common characteristic of infection by these viruses is latency, by which the virus assumes a non-replicative state, subverting the attentions of the host’s immune response. In immunocompetent hosts, herpesviruses are immunologically controlled, although periodic virus shedding can occur. In situations where immunological control is lost, herpesviruses can reactivate and produce clinically apparent disease. It is now becoming apparent that COVID-19 or exposure to COVID-19 vaccines can exert several effects on the immune system. The pandemic of COVID-19 shows no sign of abating, with new severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants continuing to evolve. Several COVID-19 vaccines have been developed, and much of the world’s population has either experienced COVID-19 or been vaccinated against it. There are an increasing number of reports of associations between herpesvirus infections or reactivations and COVID-19 or COVID-19 vaccination. For instance, a positive cytomegalovirus serostatus may indicate a greater likelihood of severe COVID-19, and herpes simplex virus reactivation may be linked to increased mortality. Epstein–Barr virus reactivation appears to be associated with post-acute sequelae of COVID-19. Finally, herpes zoster has been reported to be associated with COVID-19 vaccination. This brief narrative review will provide several insights into associations between herpesvirus infections or reactivations and COVID-19 or SARS-CoV-2 vaccination.
Associations between Vaccination Behavior and Trust in Information Sources Regarding COVID-19 Vaccines under Emergency Approval in Japan: A Cross-Sectional Study
Authors: Okada Hiroko , Okuhara Tsuyoshi , Goto Eiko , Kiuchi Takahiro
Published: January 2023

We examined the association between COVID-19 vaccination behavior and trust in COVID-19-related information sources during the initial period of COVID-19 vaccination in Japan. A cross-sectional survey was conducted in August 2021, 5 months after the start of COVID-19 vaccination for the general public under emergency approval. Participants were recruited using non-probability quota sampling from among Japanese residents who were under a declared state of emergency. Sociodemographic data, vaccination behavior, and levels of trust in eight media sources of information and three interpersonal information sources were assessed using an online survey form. A total of 784 participants completed the survey. The results of multiple logistic regression analysis showed that age, household income, underlying medical conditions, and living with family were significantly associated with COVID-19 vaccination behavior. Regarding COVID-19 vaccine information sources, trust in public health experts as a source of media information and primary care physicians as a source of interpersonal information showed significantly positive associations with COVID-19 vaccination behavior (odds ratio [OR] = 1.157, 95% confidence interval [CI] 1.017–1.31; OR = 1.076; 95% CI 1.006–1.150, respectively). Increasing trust in public health experts and primary care physicians and disseminating vaccine information from these sources will help promote vaccination under emergency approval.
The Societal Value of Vaccines: Expert-Based Conceptual Framework and Methods Using COVID-19 Vaccines as a Case Study
Authors: Di Fusco Manuela , Mendes Diana , Steuten Lotte , Bloom David E , Drummond Michael , Hauck Katharina , Pearson-Stuttard Jonathan , Power Rachel , Salisbury David , Towse Adrian , Roiz Julie , Szabo Gabor , Yang Jingyan , Marczell Kinga
Published: January 2023

Health technology assessments (HTAs) of vaccines typically focus on the direct health benefits to individuals and healthcare systems. COVID-19 highlighted the widespread societal impact of infectious diseases and the value of vaccines in averting adverse clinical consequences and in maintaining or resuming social and economic activities. Using COVID-19 as a case study, this research work aimed to set forth a conceptual framework capturing the broader value elements of vaccines and to identify appropriate methods to quantify value elements not routinely considered in HTAs. A two-step approach was adopted, combining a targeted literature review and three rounds of expert elicitation based on a modified Delphi method, leading to a conceptual framework of 30 value elements related to broader health effects, societal and economic impact, public finances, and uncertainty value. When applying the framework to COVID-19 vaccines in post-pandemic settings, 13 value elements were consensually rated highly important by the experts for consideration in HTAs. The experts reviewed over 10 methods that could be leveraged to quantify broader value elements and provided technical forward-looking recommendations. Limitations of the framework and the identified methods were discussed. This study supplements ongoing efforts aimed towards a broader recognition of the full societal value of vaccines.
Voluntary Biosurveillance of Streptococcus equi Subsp. equi in Nasal Secretions of 9409 Equids with Upper Airway Infection in the USA
Authors: Jaramillo-Morales Camilo , James Kaitlyn , Barnum Samantha , Vaala Wendy , Chappell Duane E. , Schneider Chrissie , Craig Bryant , Bain Fairfield , Barnett D. Craig , Gaughan Earl , Pusterla Nicola
Published: January 2023

This study aimed to describe selected epidemiological aspects of horses with acute onset of fever and respiratory signs testing qPCR-positive for S. equi and to determine the effect of vaccination against S. equi on qPCR status. Horses with acute onset of fever and respiratory signs from all regions of the United States were included in a voluntary biosurveillance program from 2008 to 2020 and nasal secretions were tested via qPCR for S. equi and common respiratory viruses. A total of 715/9409 equids (7.6%) tested qPCR-positive for S. equi, with 226 horses showing coinfections with EIV, EHV-1, EHV-4, and ERBV. The median age for the S. equi qPCR-positive horses was 8 ± 4 years and there was significant difference when compared to the median age of the S. equi qPCR-negative horses (6 ± 2 years; p = 0.004). Quarter Horse, Warmblood, and Thoroughbred were the more frequent breed in this horse population, and these breeds were more likely to test qPCR-positive for S. equi compared to other breeds. There was not statistical difference for sex between S. equi qPCR-positive and qPCR-negative horses. Horses used for competition and ranch/farm use were more likely to test qPCR-positive for S. equi (p = 0.006). Horses that tested S. equi qPCR-positive were more likely to display nasal discharge, fever, lethargy, anorexia, and ocular discharge compared to horses that tested S. equi qPCR-negative (p = 0.001). Vaccination against S. equi was associated with a lower frequency of S. equi qPCR-positive status.
Prospects for the technological development of the oil and gas sector in the Krasnoyarsk region
Authors: Efimov V. S. , Lapteva A. V.
Published: January 2023

The study is focused on the prospects for the technological development of the oil and gas industry in the Krasnoyarsk Territory in the period up to 2030. The forecasts for the development of the oil and gas sector are analyzed, and groups of significant technologies are identified. A survey of experts was conducted; based on expert assessments, technologies were identified that are promising for the modernization of existing and deployment of new industries in the region; these are technologies for seismic exploration, well research, predictive assessment of reservoir productivity, 3D modeling of sedimentary basins; technologies that ensure efficient nature management and environmental protection.
Trends in the development of the system of territorial administration and program methods in the Russian Federation
Authors: Dudnik A. I. , Konishchev E. S.
Published: January 2023

The article is devoted to the analysis of the development of the system of territorial administration in the Russian Federation, as well as national projects as a key element of a set of program methods. The paper presents the historical excursion of the period 2000–2021, on the basis of which the key properties of the system of the regional structure of the Russian Federation were identified. Special attention is paid to the disclosure of models of regional management (model E.M. Primakova, model of recentralization, model of centralization of power), which formed the basis of the modern management system. A separate aspect investigated the integration of software methods into the management system at the federal level. According to the results of the study, a number of problems of the existing system of territorial administration of the Russian Federation, its main shortcomings, were identified. The authors proposed to adapt the mechanisms and tools of the management system to changing external conditions through the activation of digitalization tools at all levels of interaction, which in the future will contribute to the improvement of management processes and software methods. In the process of preparing the article, the methods of historical systemic and institutional analysis were used.
Loyalty of consumers: notion, factors and authorial approach to empiric study
Authors: Volovskaya N. M. , Plyusnina L. K.
Published: January 2023

The article considers the theoretical approaches to the definition of the “loyalty” notion depending on emotional component, satisfaction, attitude towards the product (service), organization, psychological assessment etc. An attempt was made to abandon not quite rational and productive approach of stating various characteristics in the notion. The paper suggests an authorial approach for studying loyalty, a number of variables of the research were formulated, which showed the possibility of use in different organization for loyalty monitoring following its approbation.
Les origines du présentatif voici/voilà et son évolution jusqu'à la fin du XVIe siècle
Authors: Oppermann-Marsaux Evelyne
Published: January 2023

Evelyne Oppermann-Marsaux : The origins of the presentative form « voici/voilà » and its evolution until the end ofthe 16th century.

This paper deals with the different variants ofthe presentative form voici/voila in Medieval French (mainly : ve(e)z cilla, veci/vela, voici/voila) and examines how their uses changed between the I Ith century and the end ofthe I6th century. Describing the decrease of ve(e)z ci and the rise ofthe modem variants voici/voila, as well as the growing importance of the variants including the adverb la, it stresses the relationship that may be established between these morphosyntactical changes and the evolution ofthe enunciative properties of the presentative form.
Review on Algorithm Design in Electronic Noses: Challenges, Status, and Trends
Authors: Liu Taoping , Guo Lihua , Wang Mou , Su Chen , Wang Di , Dong Hao , Chen Jingdong , Wu Weiwei
Published: January 2023

Electronic noses, or e-noses, refer to systems powered by chemical gas sensors, signal processing, and machine learning algorithms for realizing artificial olfaction. They play a crucial role in various applications for decoding chemical environmental information. Despite decades of advances in gas-sensing technology and artificial intelligence, the reliability and stability of e-nose systems remain challenging, which is also one of the major obstacles that prevent e-noses from large-scale deployment. This paper presents a wide-ranging and structured review of the methods and algorithms developed in the e-nose literature over the past few decades. The review adopts a problem-oriented taxonomy aimed at clarifying the motivations and challenges of different methods and algorithms and their pros and cons. Moreover, several promising research directions in this field have been presented.
Deep-Learning-Assisted Underwater 3D Tactile Tensegrity
Authors: Xu Peng , Zheng Jiaxi , Liu Jianhua , Liu Xiangyu , Wang Xinyu , Wang Siyuan , Guan Tangzhen , Fu Xianping , Xu Minyi , Xie Guangming , Wang Zhong Lin
Published: January 2023

The growth of underwater robotic applications in ocean exploration and research has created an urgent need for effective tactile sensing. Here, we propose an underwater 3-dimensional tactile tensegrity (U3DTT) based on soft self-powered triboelectric nanogenerators and deep-learning-assisted data analytics. This device can measure and distinguish the magnitude, location, and orientation of perturbations in real time from both flow field and interaction with obstacles and provide collision protection for underwater vehicles operation. It is enabled by the structure that mimics terrestrial animals’ musculoskeletal systems composed of both stiff bones and stretchable muscles. Moreover, when successfully integrated with underwater vehicles, the U3DTT shows advantages of multiple degrees of freedom in its shape modes, an ultrahigh sensitivity, and fast response times with a low cost and conformability. The real-time 3-dimensional pose of the U3DTT has been predicted with an average root-mean-square error of 0.76 in a water pool, indicating that this developed U3DTT is a promising technology in vehicles with tactile feedback.
Securing Data in Multimode Fibers by Exploiting Mode-Dependent Light Propagation Effects
Authors: Rothe Stefan , Besser Karl-Ludwig , Krause David , Kuschmierz Robert , Koukourakis Nektarios , Jorswieck Eduard , Czarske Jürgen W.
Published: January 2023

Multimode fibers hold great promise to advance data rates in optical communications but come with the challenge to compensate for modal crosstalk and mode-dependent losses, resulting in strong distortions. The holographic measurement of the transmission matrix enables not only correcting distortions but also harnessing these effects for creating a confidential data connection between legitimate communication parties, Alice and Bob. The feasibility of this physical-layer-security-based approach is demonstrated experimentally for the first time on a multimode fiber link to which the eavesdropper Eve is physically coupled. Once the proper structured light field is launched at Alice’s side, the message can be delivered to Bob, and, simultaneously, the decipherment for an illegitimate wiretapper Eve is destroyed. Within a real communication scenario, we implement wiretap codes and demonstrate confidentiality by quantifying the level of secrecy. Compared to an uncoded data transmission, the amount of securely exchanged data is enhanced by a factor of 538. The complex light transportation phenomena that have long been considered limiting and have restricted the widespread use of multimode fiber are exploited for opening new perspectives on information security in spatial multiplexing communication systems.
Questionnaire Survey Results on Lifestyle Habits (Drinking, Smoking, Suppliant Intake, Exercise Habits, Sleep Time) of 20 Elderly People
Authors: Katayama Naomi
Published: January 2023

Du to COVID-19, which started in 2020, Japanese people have continued to live in self-restraint until today. As a result, lifestyle habits have drastically changed. There are concerns about living indoors rather than going out, lack of exercise, increased alcohol consumption, irregular eating habits, and lack of sleep or excess sleep. In June 2022, we were finally able to hold a small number of health classes, and we conducted a questionnaire survey on the current living situation so that we will report the results. Participants were 20 elderly females who had been informed about the study and agreed to a consent form. Participants measured their height, weight, blood pressure, and completed a self-reported questionnaire. The content of the self-reported questionnaire survey was the smoking habit, drinking habit, exercise habit, sleeping time, and supplement intake. Participants were also asked about co-habitation.
Success Factors for Excimer Laser Correction
Authors: О.М. Долгошей, , Н.И. Позняк, , Д.Е. Абельский, , Е.В. Торопилова, , Е.В. Стасевич,
Published: January 2023

Близорукость является одной из актуальных проблем офтальмологии, значительно ограничивая возможность занятия спортом, выбора профессии, трудоспособность в молодом и зрелом возрасте, поэтому вопрос эффективного и безопасного хирургического ее лечения остается актуальным на сегодняшний день. Современные методы кераторефракционной хирургии позволяют решить ряд задач: сохранение нативной формы роговицы при коррекции первичных рефракционных нарушений; восстановление нативной формы роговицы при коррекции индуцированных рефракционных нарушений; запланированное изменение нативной формы роговицы в определенных ситуациях (мультифокальная и тканесохраняющая абляция). Важнейшей составляющей успеха кераторефракционных операций в условиях роста количества и популярности рефракционной хирургии является ряд факторов со стороны пациента, значительно, хоть и не напрямую, влияющих на степень удовлетворенности результатами лазерной коррекции. К этим факторам относятся психологический портрет пациента, состояние передней поверхности глаза, постоянная полная коррекция очками/МКЛ, сохранение нативного баланса аберраций, состояние периферических отделов сетчатки.

Myopia is one of the urgent problems of ophthalmology, significantly limiting the possibility of playing sports, choosing a profession, working capacity at a young and mature age, and therefore the issue of effective and safe surgical treatment remains relevant today. Modern methods of keratorefractive surgery allow solving a number of problems: preservation of the native shape of the cornea during the correction of primary refractive disorders; restoration of the native form of the cornea in the correction of induced refractive disorders; planned change in the native shape of the cornea in certain situations (multifocal and tissue-preserving ablation). The most important component of the success of keratorefractive surgery in the context of the growing number and popularity of refractive surgery is a number of factors on the part of the patient, which significantly, although not directly, affect the degree of satisfaction with the results of laser correction. These factors include: the psychological portrait of the patient, the state of the anterior surface of the eye, permanent full correction with glasses/SCL, the preservation of the native balance of aberrations, the state of the peripheral parts of the retina.
Problematic Aspects of the Treatment of Wilson – Konovalov’s Disease
Authors: И.В. Плешко, , С.А. Лихачев,
Published: January 2023

Введение. Болезнь Вильсона – Коновалова (БВК) – наследственное нейрометаболическое заболевание, при котором происходит накопление меди в различных органах и системах. Пациентам назначается пожизненная терапия с целью удаления избыточно накопившейся меди и нормализации ее обмена. Цель. Оценить побочные эффекты медьэлиминирующей терапии пациентов с БВК, которые проходили лечение в РНПЦ неврологии и нейрохирургии. Материалы и методы. Проведены оценка побочных эффектов медьэлиминирующей терапии у 83 (100%) пациентов с неврологическими проявлениями БВК, динамический контроль клинико-лабораторных показателей. Результаты. Побочные эффекты терапии выявлены у 30 (36%) пациентов, из которых у 21 (25%) – прогрессирование неврологических симптомов на фоне приема пеницилламина, у 12 (14%) – другие побочные эффекты на фоне приема пеницилламина или сульфата цинка. Заключение. Несмотря на современные эффективные методы диагностики и терапии, БВК сложно диагностировать и сложно лечить. Побочные эффекты медьэлиминирующей терапии имеют широкий клинический диапазон и могут представлять собой угрожающие для жизни состояния. Это требует строгого динамического контроля клинико-лабораторных показателей, а также комплаентности пациентов.

Introduction. Wilson – Konovalov’s disease (WKD) is an inherited neurometabolic disorder that results in excessive copper deposition in various organs and systems. Patients should be treated for lifelong to remove excess copper and normalize its metabolism. Purpose. Evaluate the side effects of copper-eliminating therapy in patients with WKD. Materials and methods. The side effects of copper-eliminating therapy in 83 (100%) patients with WKD were assessed, dynamic monitoring of clinical and laboratory parameters was carried out. Results. Side effects of copper-eliminating therapy were detected in 30 (36%) patients, of which 21 (25%) patients had progression of neurological symptoms while taking penicillamine; 12 (14%) patients had other side effects while taking penicillamine or zinc sulfate. Conclusions. Despite modern effective methods of diagnosis and therapy, Wilson – Konovalov’s disease is difficult to diagnose and difficult to treat. The side effects of copper-eliminating therapy have a wide clinical range and can be life threatening. This requires strict dynamic monitoring of clinical and laboratory parameters, as well as compliance of patients.