bluuebunny/crossref_metadata_2025 huggingface dataset:
How to Improve the Corporate Sustainable Development?—The Importance of the Intellectual Capital and the Role of the Investor Confidence
Authors: Zhang Jinsong , Wang Yiding
Published: March 2022

In the era of the intelligent economy, to achieve business development, companies have shifted from focusing on physical resources to intangible resources and increasingly rely on investment in intangible assets. This phenomenon is a consensus. Intellectual capital is a skill that is difficult for competitors to replicate and is the most significant intangible asset of modern firms. Research on intellectual capital mainly focuses on the impact of companies’ performance; however, this study focuses on the sustainable development effects of companies. Taking manufacturing companies from Chinese A-share listings from 2015 to 2020 as the sample space and adding innovation capital based on the traditional intellectual capital model, a two-way fixed-effects model was used to conduct empirical research on the relationship between companies’ intellectual capital and corporate sustainable development. Meanwhile, research was conducted to test whether investor confidence innovatively played an intermediary role. This study showed that intellectual capital was positively correlated with the sustainable development of companies and investor confidence. In general, investor confidence was a bridge that connected intellectual capital and sustainable development. The results provided an empirical basis for companies that can enhance their sustainable development capabilities through intellectual capital investment. Managers should focus on the development of activities that have a positive impact on companies’ intellectual capital, increase the investment of intellectual capital, and achieve high-quality, sustainable development.
An Economic Dispatch Method of Microgrid Based on Fully Distributed ADMM Considering Demand Response
Authors: Zhou Dan , Niu Xiaodie , Xie Yuzhe , Li Peng , Fang Jiandi , Guo Fanghong
Published: March 2022

Aiming at the problem that the existing alternating direction method of multipliers (ADMM) cannot realize totally distributed computation, a totally distributed improved ADMM algorithm that combines logarithmic barrier function and virtual agent is proposed. We also investigate economic dispatch for microgrids considering demand response based on day-ahead real-time pricing (RTP), which forms a source-load-storage collaborative optimization scheme. First, three general distributed energy sources (DERs), renewable energy resources (RESs), conventional DERs and energy storage systems (ESSs), are considered in the method. Second, the goal of economic dispatch is to minimize the sum of three energy generation costs and implement the optimal power allocation of dispatchable DERs. Specifically, the approach not only inherits the fast computational speed of ADMM but also uses barrier function and virtual agent to handle inequality and equality, respectively. Moreover, the approach requires no coordination center and only the communication between current agent and adjacent agent to achieve totally distributed solution for every iteration, which can preserve information privacy well. Finally, a 30-node microgrid system is used for case analysis, and the simulation results demonstrate the feasibility and effectiveness of the proposed approach. It can be found that, the proposed approach converges to the optima when p = 0.01, v = 100, t0 = 0.01 and μ = 2.
Study on Spatial–Temporal Patterns and Factors Influencing Human Settlement Quality in Beijing
Authors: Xie Tiancheng , Liu Xinyan , Nie Pingjun
Published: March 2022

Human settlements lay the basis for urban sustainable development and embody comprehensive urban competitiveness. Based on data from the period 2010–2019, the entropy value method, global spatial correlation, and local spatial correlation are adopted to systematically analyze the overall level and spatial–temporal pattern of human settlement quality in Beijing. In particular, this study sought to uncover the factors that influence human settlement quality in Beijing by using the panel data model. The results show that the quality of human settlements in Beijing has generally followed an upward trend, with slow growth and a slight decline since 2017. Despite significant spatial positive correlations and stable local spatial self-correlation, the spatial difference is still evident, and regional correlation needs further improvement. Medical resources, economic development, public services, governance investment, and infrastructure are significantly and positively correlated with human settlement quality, while population growth is significantly and negatively correlated with it. Based on this study, specific recommendations are proposed which can be used as a reference for Beijing and other cities’ human settlement construction and its improvement.
Impact of Self-Perceived Employability on Sustainable Career Development in Times of COVID-19: Two Mediating Paths
Authors: Zhou Wenxia , Pan Zhen , Jin Qiuping , Feng Yue
Published: March 2022

The outbreak of COVID-19 added further stress to individuals’ work life, and employability may be especially important to help individuals to pursue sustainable career success in such a context. However, previous studies that examined the impact and the mechanisms of employability on sustainable career success are lacking, especially in the context of pandemic threat. Based on conservation of resource theory (COR), the current study aims to explore whether and how employability, as an important resource, reduced work-related emotional exhaustion and increased work engagement during the COVID-19 pandemic. We expected that self-perceived employability would reduce emotional exhaustion and increase work engagement. We further expected that coping strategy mediated the effect of self-perceived employability on emotional exhaustion, and career commitment mediated its effect on work engagement. Data were collected via a national survey in China among a sample of 4990 human resource practitioners from October to December 2020 amid the COVID-19 outbreak. The proposed model was tested with structural equation modelling. Results supported the proposed model. Self-perceived employability reduced emotional exhaustion and to a larger extent, increases work engagement. The two mediating effects were of partial mediation. The implications of the results for theory and practice are discussed.
How Different Tools Contribute to Climate Change Mitigation in a Circular Building Environment?—A Systematic Literature Review
Authors: Caldas Lucas Rosse , Silva Maykon Vieira , Silva Vítor Pereira , Carvalho Michele Tereza Marques , Toledo Filho Romildo Dias
Published: March 2022

The circular economy (CE) has become a trend because concern has arisen regarding the end of life of several products and the reduction of CO2 emissions in many processes. Since the architecture, engineering, and construction (AEC) industry is one of the biggest generators of environmental impacts, there is a need to apply the CE concept to the industry in order to reduce greenhouse gas (GHG) emissions. However, the role of different tools that are used to integrate CE strategies to reduce GHG emissions by the AEC industry is still unknown in the scientific literature. The purpose of this paper is to carry out a systematic literature review on the theme and analyze the following seven tools: (1) life cycle assessment—LCA; (2) building information modeling—BIM; (3) building environmental certifications—BEC; (4) building materials passports—BMP; (5) waste management plan—WMP; (6) augmented reality—AR; and (7) virtual reality—VR. A total of 30 papers were reviewed, and it was observed that, in terms of CE strategies and climate change mitigation, the vast majority can be classified as closing loops and are mainly related to recycling and reuse at the end of life and the use of recycled materials. Considering the building’s stakeholders, constructors, researchers, and designers can be the main users and, consequently, those that most benefit from the use of the evaluated tools. The integration between LCA, BIM, and BMP was also observed. Finally, as one of the main contributions of this research, other types of integration among the analyzed tools are proposed. These proposals seek to improve and update the tools and also address the need to reduce GHG emissions.
Patient-Oriented Herb Recommendation System Based on Multi-Graph Convolutional Network
Authors: Li Shengyuan , Yue Wenjing , Jin Yuanyuan
Published: March 2022

The presented herb recommendation system aims to analyze the patients’ symptoms and recommends a set of herbs as the prescription to treat diseases. In addition to symptoms, the patients’ personal properties and induced diagnoses are also essential for treatment making. Specifically, for different age groups, the treatments are different. However, the existing studies only use symptoms to represent patients and ignore the patients’ multidimensional features modeling. Thus, these models are insufficiently personalized. Meanwhile, most of these existing herb recommendation models based on graphs have not distinguished the effects of different node types. To address the above limitations, we propose a model named Patient-Oriented Multi-Graph Convolutional Network-based Herb Recommendation system (PMGCN). The prediction model contains two effective modules, patient portraits modeling and herb interactions modeling, to learn representations for patients and enhance herb interactions. First, we depict the patient portrait to enrich the individualized features. To distinguish personal properties, symptoms, and diagnoses, we adopt the type-aware attention mechanism, thereby improving the accuracy of personalized herb recommendation. Next, we build two herb-interaction graphs and design type-aware multigraph convolution networks to capture the interactions of herbs and patient features. In this way, our model emphasizes the impact of the patient portrait on diagnosis induction and herb selection. Experimental studies demonstrate that our method outperforms the compared methods and confirms the significance of patient portraits. In conclusion, this research proposes type-aware multigraph convolution networks and adds patient portraits modeling to simulate TCM prescriptions making.
Effect of Perinatal Dioxin Exposure Originating from Agent Orange on Gaze Behavior in 3-Year-Old Children Living in the Most Dioxin-Contaminated Areas in Vietnam
Authors: Pham Thao , Nishijo Muneko , Pham-The Tai , Tran Nghi , Vu Hoa , Tran Anh , Tran Tien , Nishino Yoshikazu , Nishijo Hisao
Published: March 2022

We investigated the effect of perinatal dioxin exposure indicated by dioxins in breast milk on children’s gaze behavior. We studied 142 children aged 3 years from the 2012 Bien Hoa birth cohort in a hotspot of dioxin contamination in Vietnam. Children’s faces were viewed using the eye-tracking method. Associations between gaze behavior of faces and neurodevelopmental indices and head circumference were analyzed to determine whether poor gaze behavior indicates increased autistic traits in these children. The gaze fixation duration on facial areas when viewing 10 still images of children was calculated as the gaze behavior index. Autistic behavior was assessed using the Autism Spectrum Rating Scale, and language development was evaluated by the Bayley Scales of Infant and Toddler Development, Ver. 3. The face fixation duration (%) significantly decreased as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) concentrations increased in a dose–effect manner in girls, which suggested atypical gaze behavior for watching human faces. Furthermore, these girls with atypical gaze behavior showed lower social communication scores and smaller head sizes, suggesting increased autistic traits in girls. In conclusion, our findings show sex-specific effects (girls > boys) of perinatal TCDD exposure on gaze behavior in young children.
A Forensic Diagnostic Algorithm for Drug-Related Deaths: A Case Series
Authors: Argo Antonina , Zerbo Stefania , Buscemi Roberto , Trignano Claudia , Bertol Elisabetta , Albano Giuseppe Davide , Vaiano Fabio
Published: March 2022

The best evidence provided in the literature worldwide suggests the importance of harmonizing the investigation in drug-related fatalities. In this study, the application of a multidisciplinary approach in eight cases of drug-related deaths is presented. Although death scene findings could be highly suggestive of drug intoxication, external examination and toxicological screening test alone are insufficient. There are several variables, and it is not always easy to give the proper interpretation of the drug detection. A complete autopsy is necessary to correctly complete organ and tissues sampling for further histological and toxicological studies and obtain body fluids. The use of peripheral blood is recommended to avoid artifacts. The collection of many specimens is warranted to get more responses. The sampling aims to provide a picture of the distribution of the substance in the body. The sample and the selection of the drugs and the matrices to investigate are case-dependent. The presented diagnostic algorithm provides the coroner with all the elements to investigate drug-related deaths and cooperate with toxicologists. Toxicological forensic diagnosis is still extremely heterogeneous in regional and national contexts. Funding for method development, research, networking, facilities, and technologies improvement is mandatory to standardize the toxicological investigation.
Analytical Sensitivity of Six SARS-CoV-2 Rapid Antigen Tests for Omicron versus Delta Variant
Authors: Bayart Jean-Louis , Degosserie Jonathan , Favresse Julien , Gillot Constant , Didembourg Marie , Djokoto Happy Phanio , Verbelen Valérie , Roussel Gatien , Maschietto Céline , Mullier François , Dogné Jean-Michel , Douxfils Jonathan
Published: March 2022

Rapid antigen detection (RAD) tests are commonly used for the diagnosis of SARS-CoV-2 infections. However, with the continuous emergence of new variants of concern (VOC), presenting various mutations potentially affecting the nucleocapsid protein, the analytical performances of these assays should be frequently reevaluated. One hundred and twenty samples were selected and tested with both RT-qPCR and six commercial RAD tests that are commonly sold in Belgian pharmacies. Of these, direct whole-genome sequencing identified the strains present in 116 samples, of which 70 were Delta and 46 were Omicron (BA.1 and BA.1.1 sub-lineages, respectively). The sensitivity across a wide range of Ct values (13.5 to 35.7; median = 21.3) ranged from 70.0% to 92.9% for Delta strains and from 69.6% to 78.3% for Omicron strains. When taking swabs with a low viral load (Ct > 25, corresponding to <4.9 log10 copies/mL), only the Roche RAD test showed acceptable performances for the Delta strains (80.0%), while poor performances were observed for the other RAD tests (20.0% to 40.0%). All the tested devices had poor performances for the Omicron samples with a low viral load (0.0% to 23.1%). The poor performances observed with low viral loads, particularly for the Omicron strain, is an important limitation of RAD tests, which is not sufficiently highlighted in the instructions for use of these devices.
Clinical, Laboratory, and Molecular Epidemiology of an Outbreak of Aseptic Meningitis Due to a Triple-Recombinant Echovirus in Ashburton, New Zealand
Authors: Dilcher Meik , Howard Julia C. , Dalton Simon C. , Anderson Trevor , Clinghan Richard T. , Werno Anja M.
Published: March 2022

Here, we describe a small enterovirus outbreak including nine cases of aseptic meningitis in a New Zealand hospital in 2017. Most patients had a lymphocytic predominance in the CSF, their length of stay was short, and there were no paediatric cases or ICU admissions. VP1 genotyping revealed that the outbreak was caused by an echovirus E30 strain closely related to strains reported from the US, UK, Brazil, and Denmark. They all form a separate cluster within lineage “h”, which leads to the proposal of establishing a new lineage tentatively named “j” for this group of echovirus E30 strains. However, whole genome sequencing and reference mapping to echovirus E30 sequences showed very poor mapping of reads to the 3′ half of the genome. Further bioinformatic analysis indicated that the causative agent of this outbreak might be a mosaic triple-recombinant enterovirus composed of echovirus E6, echovirus E11, and echovirus E30 genome segments.
Comparison of Bacterial Expression Systems Based on Potato Virus Y-like Particles for Vaccine Generation
Authors: Ogrina Anete , Skrastina Dace , Balke Ina , Kalnciema Ieva , Jansons Juris , Bachmann Martin F. , Zeltins Andris
Published: March 2022

Plant-based virus-like particle (VLP) vaccines have been studied for years, demonstrating their potential as antigen-presenting platforms. In this paper, we describe the development of, and compare between, simple Escherichia coli-based antigen display platforms for the generation of potato virus Y (PVY) VLP-derived vaccines, thus allowing the production of vaccines from a single bacterial cell culture. We constructed four systems with the major cat allergen Fel d 1; namely, direct fusion with plant virus PVY coat protein (CP), mosaic PVY VLPs, and two coexpression variants of conjugates (SpyTag/SpyCatcher) allowing coexpression and conjugation directly in E. coli cells. For control experiments, we included PVY VLPs chemically coupled with Fel d 1. All constructed PVY–Fel d 1 variants were well expressed and soluble, formed PVY-like filamentous particles, and were recognized by monoclonal Fel d 1 antibodies. Our results indicate that all vaccine variants induced high titers of anti-Fel d 1 antibodies in murine models. Mice that were immunized with the chemically coupled Fel d 1 antigen exhibited the highest antibody titers and antibody–antigen interaction specificity, as detected by binding avidity and recognition of native Fel d 1. IgG1 subclass antibodies were found to be the dominant IgG class against PVY–Fel d 1. PVY CP-derived VLPs represent an efficient platform for the comparison of various antigen presentation systems to help evaluate different vaccine designs.
Efficacy and Immunogenicity of Recombinant Pichinde Virus-Vectored Turkey Arthritis Reovirus Subunit Vaccine
Authors: Kumar Rahul , Porter Robert E. , Mor Sunil K. , Goyal Sagar M.
Published: March 2022

We created a recombinant live pichinde virus-vectored bivalent codon optimized subunit vaccine that expresses immunogenic Sigma C and Sigma B proteins of turkey arthritis reovirus. The vaccine virus could be transmitted horizontally immunizing the non-vaccinated pen mates. The vaccine was tested for efficacy against homologous (TARV SKM121) and heterologous (TARV O’Neil) virus challenge. Immunized poults produced serum neutralizing antibodies capable of neutralizing both viruses. The vaccinated and control birds showed similar body weights indicating no adverse effect on feed efficiency. Comparison of virus gene copy numbers in intestine and histologic lesion scores in tendons of vaccinated and non-vaccinated birds showed a decrease in the replication of challenge viruses in the intestine and tendons of vaccinated birds. These results indicate the potential usefulness of this vaccine.
Comparison of CLEIA and ELISA for SARS-CoV-2 Virus Antibodies after First and Second Dose Vaccinations with the BNT162b2 mRNA Vaccine
Authors: Ashenagar Mohammad Said , Matsumoto Akiko , Sakai Hironori , Tokiya Mikiko , Hara Megumi , Hirota Yoshio
Published: March 2022

The global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has required rapid action to control its spread and vaccines are a fundamental solution to this pandemic. The development of rapid and reliable serological tests to monitor the antibody response to coronavirus disease vaccines is necessary for post-vaccination immune responses. Therefore, in this study, anti-SARS-CoV-2 antibody titers after the first and second doses were monitored using two different measurement systems, a highly sensitive analytical platform of chemiluminescent enzyme immunoassay (CLEIA) and an enzyme-linked immunosorbent assay (ELISA). Our study included 121 participants who received two doses of the BNT162b2 vaccine. Both methods show significant increase in anti-spike protein IgG antibody levels one week after the first vaccination, and then reached at a plateau at week five (week two after the second dose), with a 3.8 × 103-fold rise in CLEIA and a 22-fold rise in ELISA. CLEIA and ELISA showed a good correlation in the high titer range, >10 binding antibody unit (BAU)/mL. Both methods detected higher IgG antibody levels in females compared with male participants after the second vaccination, while CLEIA exhibits the sex difference after the first dose. Thus, our study showed better performance of CLEIA over ELISA in sensitivity, especially in the low concentration range, however ELISA was also useful in the high titer range (>10 BAU/mL) corresponding to the level seen several weeks after the first vaccination.
Potentially Toxic Elements and Pb Isotopes in Mine-Draining Meža River Catchment (NE Slovenia)
Authors: Goltnik Tjaša , Burger Judita , Kranjc Irena , Turšič Janja , Zuliani Tea
Published: March 2022

In the present study it was observed that Pb, Zn, Cd and As are still present at elevated concentrations in the environment of the upper Meža Valley. In particular, the concentrations of Pb indicate possible new sources have emerged. The main objective of this study was to determine the Pb isotope composition in both the water and the sediments (fractions < 0.150 and <0.063 mm) from the Meža River and its tributaries for the first time and then use them as identifiers of Pb pollution sources. In addition, by calculating the PEC-Q values, the potential hazard of the present concentrations of Pb, Zn, Cd and As to the river environment was evaluated. The results showed elevated Pb and Zn concentrations in the water and sediments at the majority of sampling sites. In general, higher concentrations of Pb, Cd and As were determined in the <0.063 mm fraction, while Zn was higher in the <0.150 mm fraction. The isotope composition of Pb in both fractions differed slightly, indicating an additional Pb source.
Degradation of 2-Naphthol in Aqueous Solution by Electro-Fenton System with Cu-Supported Stainless Steel Electrode
Authors: Cheng Xudong , Zhang Xiaoping , Zhou Shaoqi , Shi Lin
Published: March 2022

For the treatment of 2-naphthol wastewater, the homogeneous electro-Fenton process was considered as an effective method but some disadvantages greatly restrict its application. The three-dimensional electro-Fenton (3D-EF) system using a nano zero-valent iron-supported biochar (NZVIs-BC) particle electrode and a Cu-supported stainless steel electrode (Cu-SSE) was proposed to avoid the disadvantages of the homogeneous electro-Fenton. In this work, the 3D-EF system was developed, which consisted of a Cu-SSE (cathode), a graphite rod (anode) and a NZVIs-BC particle electrode. The effect of the ratio of ferrous sulfate heptahydrate (FS) to rice straw (RS), CuSO4•5H2O amount, initial pH of 2-naphthol wastewater and current intensity (the output current of the power supply) on the removal rate of 2-naphthol were investigated. It is noteworthy that more than 98.36% of the 2-naphthol in aqueous solution was removed by the 3D-EF system, and only about 60.09% of 2-naphthol was removed by the homogeneous electro-Fenton system. Furthermore, naphthalene, benzoic acid, β-naphthoquinone, 1, 2-naphthalenedione, phenol and aromatic hydrocarbon were the main degradation products of 2-naphthol by the 3D-EF system; the toxicity of 2-naphthol wastewater was also greatly reduced.
External Phosphorus Loading in New Lakes
Authors: Kragh Theis , Kolath Thor , Kolath Anja Svane , Reitzel Kasper , Martinsen Kenneth Thorø , Søndergaard Martin , Hoffmann Carl Christian , Baastrup-Spohr Lars , Egemose Sara
Published: March 2022

The water quality of lakes is highly dependent on external phosphorus (P) loading. The vast external loadings from sewage and other wastewater discharge that European lakes have historically received have been dramatically reduced today by improved wastewater treatment. Gaining knowledge of the catchment characteristics that influence external P-loading should enable predictions of the achievable water quality of lakes. In this study, we tested this proposition. Data from 90 new Danish lakes show no apparent relationship between the mean summer P-concentration and the size or land use of the catchments. The external P-loading and resulting annual P-concentration were further investigated on a representative subset of 12 of the new lakes, using six methods. Three of the methods used empirical estimates of P-transport from catchments, based on the national average P-transport, runoff-dependent P-transport, and crop-dependent P-transport, and the other three methods used different empirical models tested on the lakes. External P-loading was reliably predicted by several of the methods. The predictions of the annual P-concentration were highly dependent on the inclusion of annual runoff. However, the predicted P-concentrations were generally overestimated, most pronounced for the nutrient-poor and most recently established lakes. In these lakes, internal P-loading was found to be the most important factor in predicting achievable water quality.
Response of Maize Hybrids in Drought-Stress Using Drought Tolerance Indices
Authors: Khatibi Ali , Omrani Saeed , Omrani Ali , Shojaei Seyed Habib , Mousavi Seyed Mohammad Nasir , Illés Árpád , Bojtor Csaba , Nagy János
Published: March 2022

This study was conducted to investigate the response of maize hybrids to drought stress and to select the most drought-tolerant cultivar compared to other hybrids. The experiment was performed on six maize hybrids in a randomized complete block design (RCBD) with three replications under regular irrigation and limited irrigation in the vegetative and reproductive stages in Iran. Drought tolerance indices (TOL, MP, GMP, STI, SSI, and HAR) for the grain yield of genotypes were calculated, and principal component analysis was based on them. The results obtained from estimating the indices showed that the SC647 and KSC704 hybrids, while having good performance in both conditions, also have drought tolerance. Examining the correlation between drought tolerance indices and yield in both conditions, among the indices used to detect drought tolerance, STI, MP, and GMP indices can be considered suitable for selecting high-yielding hybrids in these conditions. The principal components analysis on the stress-tolerance index showed that MP and GMP indices could be used as the best indices with high coefficients to select stress-tolerance hybrids. SC647 and KSC704 hybrids were identified and selected as hybrids with high tolerance to moisture stress. The results of drought tolerance indices in the emergence stage of the crest showed that the KSC260 hybrid has the lowest level of stress sensitivity. SC647 hybrids showed the lowest susceptibility to drought stress in the ear emergence stage.
Placing BEV Charging Infrastructure: Influencing Factors, Metrics, and Their Influence on Observed Charger Utilization
Authors: Adenaw Lennart , Krapf Sebastian
Published: March 2022

The automotive sector’s transition to Battery Electric Vehicles (BEVs) requires extensive deployment of additional charging infrastructure. To determine optimal new locations, planners consider and rate a multitude of factors that influence the charging demand at candidate sites. Researchers have proposed a variety of placement criteria and methods to automate site selection. However, no common set of criteria has emerged. In addition, due to the lack of usage data, the applicability of existing criteria remains unclear. Therefore, the goals of this article are to extract the most relevant factors from literature and to evaluate their ability to characterize charging point usage. First, we review the literature base to collect, analyze, and cluster existing influencing factors and to analyze how they affect charging demand. Second, we conduct a case study using real-life charging station data from Hamburg, Germany. Based on the extracted influencing factors, we identify four clusters within Hamburg’s public charging infrastructure. While the mean performance indicators duration, daily transactions, and connection ratio hardly differ among these clusters, the temporal occupancy curves clearly show distinct charging behavior for each cluster. This work contributes to the state of the art by structuring the diverse landscape of charging station location placement criteria, by deriving a set of measurable influencing factors, and by analyzing their effect on a location’s charging demand, yielding an open source data set of charging point usage.
Impact of remote work on the hospitality industry during the COVID-19 pandemic (2020–2021)
Authors:   National Research Lobachevsky State University of Nizhny Novgorod, Safonova T. A. , Shimin N. A. ,   Department of Service and Tourism of the Institute of Economics and Entrepreneurship, National Research Lobachevsky State University of Nizhny Novgorod
Published: March 2022

The article is devoted to assessing the impact of the growth of the mobile workforce around the world and describing new trends and examples of services that have appeared in the hotel and tourism markets due to the widespread introduction of remote work. The article discusses new types of consumers ("digital nomads"), describes their portrait in detail. The definitions of new trends, manifested during the COVID-19 pandemic in tourism and hospitality (worcation, "hybrid spaces") are given, the essence of concepts "coliving" and "coworking" are considered in detail, the successful experience of introducing new services that have been applied at the enterprises of the hotel industry in different countries to attract new customers is described.
Domestic tourism in Russia: main types and features
Authors:   V. I. Vernadsky Crimean Federal University, Denga V.I.
Published: March 2022

The current epidemiological situation has largely changed the plans and views of many people on travel. Traveling abroad has become more difficult, and many travelers have decided not to risk leaving the country due to the responsible attitude to their health and the health of their loved ones. Despite this, travel did not stop, as people began to travel within Russia and discover a large number of previously unknown and unexplored places. In many ways, this was facilitated by the development of many types of tourism and the loyalty system in the form of cashback.
Characteristics of the international hotel chain OYO Hotels & Homes
Authors:   Department of tourism and socio-cultural services, Institute of sport, tourism and service, South Ural state University, Tretyakova T. N. , Alrahi R. J. ,   South Ural state university
Published: March 2022

OYO Rooms (stylised as OYO), also known as OYO Hotels & Homes, is an Indian multinational OTA, homes and living spaces. Founded in 2013 by Ritesh Agarwal, OYO initially consisted mainly of budget hotels. The startup expanded globally with thousands of hotels, vacation homes and millions of rooms across more than 60 countries including India, Malaysia, UAE, Nepal, China, Brazil, Mexico, UK, Philippines, Japan, Saudi Arabia, Sri Lanka, Indonesia, Vietnam, the United States and more.
Benchmarking as a tool for managing the competitiveness of hotel enterprises
Authors:   Institute of Hotel Business and Tourism, Peoples’ Friendship University of Russia, Chakhmachyan A. A. , Zholzhanova D. ,   Institute of Hotel Business and Tourism, Peoples’ Friendship University of Russia
Published: March 2022

The article discusses benchmarking and the mechanism for its implementation at the enterprises of the hotel industry. It is noted that benchmarking helps to increase the competitiveness of enterprises. Benchmarking allows you to identify market leaders, take into account the main success factors of competitors and adapt them to your business. As an example of the achieved results of using benchmarking, the authors cite the Ritz-Carlton hotel chain. In Russia benchmarking is not popular due to the low awareness of entrepreneurs and distrust of benchmarking partners. The authors conduct a preliminary comparative analysis of the AZIMUT Hotel Olympic Moscow with leading business hotels, which can become the basis for further benchmarking. The material of the article is aimed at forming an understanding of the concept of benchmarking, the stages of its implementation and the effectiveness of benchmarking as a tool to increase the competitiveness of hotel enterprises.
Лечебные грязи на побережье Тауйской губы Охотского моря
Authors:   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan, Glotov V. E.
Published: March 2022

The article describes the results of studying the conditions of occurrence and composition of sulphide muds on the coast of the Tauysk Bay in the Sea of Okhotsk. Bacterial oxidation of methane, that migrated from the depths of aquatic sedimentary basins (catagenetic methane), plays a leading role in the formation of sulfide silty pelites. A genetic relationship was noted between the accumulations of therapeutic mud on the Tauysk Bay coast and possibly oil-and-gas- and coal-bearing depressions in the Yama-Tauy sedimentary basin. An environmentally safe method of extracting muds from the ice of reservoirs in the cold season is recommended.
Терморегуляция и уровень метаболизма у мелких воробьиных птиц Якутии в зимний период
Authors:   Institute for Biological Problems of Cryolithozone, SB RAS, Yakutsk, Anufriev A. I.
Published: March 2022

The data on basal metabolism and thermoregulatory responses in small passerine birds in the winter, in the temperature range natural for Yakutsk, have been analysed. Common redpoll Acanthis flammea (Linnaeus, 1758), Eurasian tree sparrow Passer montanus (Linnaeus, 1758), and Eurasian bullfinch Pyrrhula pyrrhula (Linnaeus, 1758) were researched. In Common redpoll, the minimal metabolism rates (about 3.1 ml O2/g · h) were reported in ambient temperatures between 10 °C and 20 °C. At temperatures going down from 20 °C to -30 °C, oxygen consumption doubled at a rate of 0.06 ml O2/g · h per 1 °C. In the Eurasian tree sparrow, the growth of metabolism began at the temperature decreasing to 10 °C and continued to temperatures going down to -25 °C — -30 °C. With the ambient temperature from decreasing from -20 °C to -30 °C, the metabolic rate was increasing by 0.06 ml O2/g · h per 1 °C. The Eurasian bullfinch had a significantly higher level of minimal metabolism than the Eurasian tree sparrow, while the maximum metabolic levels were close in absolute values. The rate of metabolic growth in bullfinch was half as high as in Common redpoll and Eurasian tree sparrow.
Урбанизированная популяция тихоокеанской чайки на Южных Курилах
Authors:   Institute of Biological Problems of the North, FEB RAS, Magadan, Zelenskaya L. A.
Published: March 2022

Comparison of 2015's data on the abundance and distribution of Slaty-backed Gull nests in the settlement of Yuzhno-Kurilsk (Kunashir Island) with counts of nests and chicks conducted in 2020, permits to assess the changes that have occurred in the developing urbanized population within a shor-time period. The total number of gulls breeding on the building roofs has more than quadrupled: 80 nests in 2015 compared to 328, in 2020. All basic nesting patterns of nesting in the settlement correspond to those usual for large gulls in urbanized conditions: concentration of the nest mass in denser colonies on a few industrial and administrative buildings, nest locations near obstacles (pipes, superstructures, walls, etc.). Breeding success is high, especially in colonies (1.4 chicks per pair). Periodic struggle of people against gulls (nest destruction) leads to repeated clutches, which extends the nesting period. No other options available for safe placement of nests can cause this population nesting in the settlement.
Solar-Driven Producing of Value-Added Chemicals with Organic Semiconductor-Bacteria Biohybrid System
Authors: Yu Wen , Bai Haotian , Zeng Yue , Zhao Hao , Xia Shengpeng , Huang Yiming , Lv Fengting , Wang Shu
Published: March 2022

Photosynthetic biohybrid systems exhibit promising performance in biosynthesis; however, these systems can only produce a single metabolite and cannot further transform carbon sources into highly valuable chemical production. Herein, a photosynthetic biohybrid system integrating biological and chemical cascade synthesis was developed for solar-driven conversion of glucose to value-added chemicals. A new ternary cooperative biohybrid system, namely bacterial factory, was constructed by self-assembling of enzyme-modified light-harvesting donor-acceptor conjugated polymer nanoparticles (D-A CPNs) and genetically engineered
Escherichia coli
(
E. coli
). The D-A CPNs coating on
E. coli
could effectively generate electrons under light irradiation, which were transferred into
E. coli
to promote the 37% increment of threonine production by increasing the ratio of nicotinamide adenine dinucleotide phosphate (NADPH). Subsequently, the metabolized threonine was catalyzed by threonine deaminase covalently linking with D-A CPNs to obtain 2-oxobutyrate, which is an important precursor of drugs and chemicals. The 2-oxobutyrate yield under light irradiation is increased by 58% in comparison to that in dark. This work provides a new organic semiconductor-microorganism photosynthetic biohybrid system for biological and chemical cascade synthesis of highly valuable chemicals by taking advantage of renewable carbon sources and solar energy.
Analysis of Factors Affecting Customer Satisfaction at PT.OSO Gallery
Authors: Prawira Karendita Dayri , Bintoro B. P. Kusumo , Hadis Rachmat , Warseno Warseno , Terah Yochebed Anggraini
Published: March 2022

This study aims to identify factors affecting costumer satisfaction in PT.OSO sekuritas cabang galeri Universitas MH. Thamrin and describe it based on customer perceptions. This research uses qualitative approach with case study strategy. Data collection techniques used are interviews, observation, and document review. The participants of this study 25 customer with different background (student or employee). The result of study shows that factors affecting costumer satisfaction in PT.OSO sekuritas cabang galeri Universitas MH. Thamrin Branch are the excellent of the relationship between the employee and the costume, accurancy in satisfying customer desires or demand and adequate facilities in the investment gallery. This strategy will always improved by the employees to provide customer satisfaction in the long term.
The Effect of New Therapy Zinc on Perinatal Mortality, Prematurity and Placental Ablation
Authors: Atmadja Sardjana
Published: March 2022

Zinc is essential for life and is a part of zinc finger proteins, which perhaps represent the largest class of DNA-binding proteins. Zinc finger protein controlled gene expression may be a fundamental aspect of development as well as other processes. Nearly 30 elements are accepted as being essential for some or all organisms. Knowledge of the amounts of zinc in food is necessary for the understanding of the very complex system of zinc metabolism. Zinc content in leucocytes, mononuclear cells, red cells and platelets could be used as a measure of possible zinc deficiency. Almost 300 different enzymes, which include the synthesis and/or degradation of all major metabolites, have zinc as an integral component. AE has been interpreted as being a zinc-deficiency disease. The signs and symptoms of AE are reserved by zinc therapy. The recommended daily intake of zinc in pregnancy and lactation is 15 mg in Sweden and the Scandinavian countries. A woman on continuous zinc therapy for AE had two normal pregnancies. Other contributors to this volume will review these data.
The Impact Of Online System on Health During Covid 19: A Comprehensive Study
Authors: Rawat Bhupesh , Bist Ankur Singh , Rahardja Untung , Lukita Chandra , Apriliasari Dwi
Published: March 2022

COVID-19 creates an unprecedented situation before humanity. Covid-19 has changed lives in all aspects, from education, industry and social life. However, the existence of Covid-19 has greatly impacted the field of education, where the applicable learning methods usually need to make drastic changes to decide the spread of Covid-19. The education sector is turning to online education because it is not possible to call students in schools and colleges. Technology online education is proving itself to be a cure for catastrophe and filling gaps. There are major challenges regarding student health due to the high use of mobile, tablet and computer screens. There are problems regarding student health in the application of technology online learning, in this paper we make a detailed study of the same problem with the ultimate goal of research to find out the preventive measures. In this paper, we use the literature study method to explore negative cases in terms of obtaining negative reasoning due to excessive screen use during the COVID-19 scenario
Quantum Computing and AI: Impacts & Possibilities
Authors: Rawat Bhupesh , Mehra Nidhi , Bist Ankur Singh , Yusup Muhamad , Sanjaya Yulia Putri Ayu
Published: March 2022

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable with time. This paper, the main objective is to find out the impact of quantum computing research growth for AI applications. Thus, the method used in this study uses computational methods. so that this research can be concluded regarding the growing impact of quantum computing research for a given AI application. This paper also presents the impact and possibilities of quantum computing in the field of artificial intelligence.
Coping with the undesired consequences of jury reform
Authors: Skoblik Konstantin Vladimirovich
Published: March 2022

The historical development of the Soviet-Russian Criminal Justice System shows that there are ongoing negative attitudes towards acquittals amongst law enforcement agencies in Russia. Each period of acquittal rate rise is scrupulously monitored and controlled. Today, an acquittals spike in modern Russia is happening by virtue of Jury Reform, which has broadened the jury trial to the level of District Courts. By drawing on qualitative data from the observation of trials by jury, this paper explores the set of strategies and tactics, which the Criminal Justice System deploys to increase chances of reaching a guilty verdict by jury. The most frequently used strategies include manipulation in communication, trial “recursion”, trial acceleration, and system’s learning. The theoretical basis of research acknowledges N. Luhmann’s theory of autopoietic social systems and the Crime Control Model of H. Packer.
The ethics of Artificial Intelligence
Authors: Lupo Giampiero
Published: March 2022

The recent introduction of AI tools in the justice sector poses several ethical implications as risks for judges’ independence and for procedural transparency, and discrimination biases. By developing ethical frameworks governing AI application, private and public agents have been increasingly dealing with risks pertaining to the use of AI. By inventorying and analyzing a set of ethical documents through content analysis, this study highlights the ethical implications involved in the application of AI. Moreover, by investigating the CEPEJ Charter (European Commission for the Effectiveness of Justice of the Council of Europe), the unique ethical document focusing on AI in justice, we were able to clarify potential differences between justice and other contexts of AI application with respect to risks prospected and the protection of ethical principles. The analysis confirms that the discipline of AI is a complex subject that involves very different aspects and therefore needs a broad focus on all contexts of application.
Antigypsyism, legal culture and sentencing in Italy
Authors: Mantovan Claudia
Published: March 2022

This article analyzes the relationship between Roma people and the law by combining two different theoretical approaches, one focusing on legal culture, the other drawing on critical Romani studies. The resulting analytical model supports: 1) the adoption of a multi-level and interpretative approach to examining legal culture, and 2) the focus on the processes of racialization and discrimination implemented by the dominant society, especially within the legal field. The analysis brings to light the mutually-influencing relations between dominant stereotypes about Roma and Sinti people on the one hand, and Italy’s legal culture and sentencing on the other. This topic is examined in relation to the Italian and the wider European historical, political and cultural context, since the way in which legal actors see Roma and Sinti people is strongly influenced by their social and political milieu, and by historically-originated dominant cultural repertoires.
Misinformation and right to self-determination
Authors: Llorca-Asensi Elena , Fabregat María Elena , Ruiz-Callado Raúl
Published: March 2022

The true meaning and scope of laws is unknown to most of the population, as evidenced by various studies on legal culture around the world. Therefore, whenever false or inaccurate information about legal issues is disseminated, the impact on public opinion can be enormous. This study shows that this has happened, in the so-called Catalan conflict, with respect to the right to self-determination. Thus, while legal experts deny that Catalonia is entitled to invoke the "right to self-determination of peoples" to obtain its independence, some civil associations, the media and, above all, political leaders, claim the opposite or make inaccurate statements which, in an attempt to deny this right, increase popular confusion. As a result, the current polarized discourse around the self-determination of Catalonia is built, at least in part, on the erroneous legal knowledge of three quarters of citizens.