bluuebunny/crossref_metadata_2025 huggingface dataset:
A Scalable Open-Source Framework for Machine Learning-Based Image Collection, Annotation and Classification: A Case Study for Automatic Fish Species Identification
Authors: Silva Catarina N. S. , Dainys Justas , Simmons Sean , Vienožinskis Vincentas , Audzijonyte Asta
Published: November 2022

Citizen science platforms, social media and smart phone applications enable the collection of large amounts of georeferenced images. This provides a huge opportunity in biodiversity and ecological research, but also creates challenges for efficient data handling and processing. Recreational and small-scale fisheries is one of the fields that could be revolutionised by efficient, widely accessible and machine learning-based processing of georeferenced images. Most non-commercial inland and coastal fisheries are considered data poor and are rarely assessed, yet they provide multiple societal benefits and can have substantial ecological impacts. Given that large quantities of georeferenced fish images are being collected by fishers every day, artificial intelligence (AI) and computer vision applications offer a great opportunity to automate their analyses by providing species identification, and potentially also fish size estimation. This would deliver data needed for fisheries management and fisher engagement. To date, however, many AI image analysis applications in fisheries are focused on the commercial sector, limited to specific species or settings, and are not publicly available. In addition, using AI and computer vision tools often requires a strong background in programming. In this study, we aim to facilitate broader use of computer vision tools in fisheries and ecological research by compiling an open-source user friendly and modular framework for large-scale image storage, handling, annotation and automatic classification, using cost- and labour-efficient methodologies. The tool is based on TensorFlow Lite Model Maker library, and includes data augmentation and transfer learning techniques applied to different convolutional neural network models. We demonstrate the potential application of this framework using a small example dataset of fish images taken through a recreational fishing smartphone application. The framework presented here can be used to develop region-specific species identification models, which could potentially be combined into a larger hierarchical model.
Research on the Motivation Mechanism of Precise Poverty Alleviation in Rural Tourism in China
Authors: Wang Huizhan , Bai Kai , Wang Huimin , Rafiqul Islam
Published: November 2022

The practice of precise poverty alleviation in rural tourism in China generally faces the contradiction of “abundant exogenous motivation and insufficient endogenous motivation”, which seriously affects the effect of precise poverty alleviation in rural tourism. Therefore, it is of great theoretical and practical significance to clarify the motivation mechanism of precise poverty alleviation in rural tourism. This paper tries to borrow the force analysis method of the slope model in physics, constructs a general theoretical model of the motivation mechanism of precise poverty alleviation in rural tourism, and compares and analyzes the characteristics of the models of the motivation mechanism of precise poverty alleviation in rural tourism under two different models: government-led and community-led practice. On this basis, through a case analysis of the generating and evolution process of the motivation mechanism of precise poverty alleviation in rural tourism in Liangjiahe village, Yanchuan County, Shaanxi Province, which is a typical example of precise poverty alleviation in rural tourism in China, we propose a new model of the motivation mechanism of precise poverty alleviation in rural tourism under the mode of tourism empowerment. The study has some theoretical insights to clarify the dynamic operation mechanism of precise poverty alleviation in rural tourism, promote the sustainability of precise poverty alleviation in rural tourism, and realize an effective connection between precise poverty alleviation in rural tourism and rural revitalization in China.
Supply Chain Integration and Its Impact on Operating Performance: Evidence from Chinese Online Companies
Authors: Zhang Xiaoyan , Li Rita Yi Man , Sun Zhizhong , Li Xin , Samad Sarminah , Comite Ubaldo , Matac Liviu Marian
Published: November 2022

The present study explores the effect of supply chain integration on the operational performance of an internet-based online business based in China. The study is based on primary data collected through a questionnaire distributed to supply chain professionals of the stated companies. After distributing the questionnaire and collecting the responses, an exploratory factor analysis is conducted to validate the instrument. Afterward, the confirmatory factor analysis (CFA) analysis is conducted, and finally, the structural equation modeling (SEM) technique is used to determine the validity of the research hypotheses. The results indicate that integrating different aspects of the supply chain positively impacts the operating performance, improving the financial performance of the companies involved in the integration process.
The Impact of Topographic Relief on Population and Economy in the Southern Anhui Mountainous Area, China
Authors: Yang Zhen , Hong Yang , Guo Qingbiao , Yu Xuexiang , Zhao Mingsong
Published: November 2022

Topographic relief is a key factor limiting population distribution and economic development in mountainous areas, especially in the transition zone from mountains to plains. Taking the southern Anhui mountainous area as an example, based on the digital elevation model (DEM) with a resolution of 30 m, we used ‘quadratic’ mean change-point analysis to calculate the optimal statistical unit, and then extracted the topographic relief. Taking the county as the unit of analysis, two indicators of population density and economic density were selected. Spatial statistics and correlation analysis were used to quantitatively analyze the impact of topographic relief on population and economy. Finally, the impact of slope and elevation was analyzed. The following results were obtained. (1) The topography of the study area was dominated by medium relief (200–500 m), followed by small relief (70–200 m), flat (0–30 m), and slight relief (30–70 m), and a small proportion of large relief (≥500 m). (2) The impact of topographic relief on population and economy was slightly stronger than that of slope and elevation. The impact on population distribution was stronger than that on economic development. The impact on primary industry was stronger than that on secondary and tertiary industries. (3) In the southern Anhui mountainous area, 72.35% of the population and 76.72% of GDP were distributed in the area with a topographic relief of 155 m or less, while the land area only accounted for 43.93%. The area with a topographic relief greater than 245 m accounted for 28.76%, but only 10.69% of the population, and only 8.34% of GDP. The population distribution and economic development were obviously concentrated in the low topographic relief area. However, the characteristics of high topographic relief not only hindered the agricultural mechanization and limited the development of the primary industry, but also had a significant impact on infrastructure development, investment, and industrial layout, thus weakening regional economic advantages. In the future, the economic level of these areas needs to be improved.
Coal Mine Safety Accidents, Environmental Regulation and Economic Development—An Empirical Study of PVAR Based on Ten Major Coal Provinces in China
Authors: Lu Cheng , Li Shuang , Xu Kun , Liu Jiao
Published: November 2022

Based on the PVAR model and taking the data of 10 major coal provinces in China from 2011 to 2020 as an example, the dynamic relationship between coal mine accidents, environmental regulation and economic development is analyzed at the provincial level. Research findings include: (1) From the static relationship between coal mine accidents, environmental regulation and economic development in China’s ten major coal provinces, coal mine accidents promote environmental regulation; environmental regulation inhibits coal mine accidents; economic development strongly promotes environmental regulation; environmental regulation has a weak inhibitory effect on economic development; coal mine accidents slightly inhibit economic development; economic development strongly inhibits coal mine accidents. (2) From the dynamic relationship between coal mine accidents, environmental regulation and economic development in China’s ten major coal provinces, there is a strong dynamic response relationship between environmental regulation and coal mine accidents. The impact of environmental regulation on coal mine accidents shows a decreasing volatility trend, and the impact of coal mine accidents on environmental regulation shows a rising volatility trend. There is a short-term positive interaction between economic development and environmental regulation, but the interaction response relationship between them decreases with time. Economic development has a long-term inhibitory effect on coal mine accidents, while the negative impact of coal mine accidents on economic development has gradually decreased to 0.
Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example
Authors: Chen Yile , Zheng Liang , Song Junxin , Huang Linsheng , Zheng Jianyi
Published: November 2022

The COVID-19 pandemic has led to a re-examination of the urban space, and the field of planning and architecture is no exception. In this study, a conditional generative adversarial network (CGAN) is used to construct a method for deriving the distribution of urban texture through the distribution hotspots of the COVID-19 epidemic. At the same time, the relationship between urban form and the COVID-19 epidemic is established, so that the machine can automatically deduce and calculate the appearance of urban forms that are prone to epidemics and may have high risks, which has application value and potential in the field of planning and design. In this study, taking Macau as an example, this method was used to conduct model training, image generation, and comparison of the derivation results of different assumed epidemic distribution degrees. The implications of this study for urban planning are as follows: (1) there is a correlation between different urban forms and the distribution of epidemics, and CGAN can be used to predict urban forms with high epidemic risk; (2) large-scale buildings and high-density buildings can promote the distribution of the COVID-19 epidemic; (3) green public open spaces and squares have an inhibitory effect on the distribution of the COVID-19 epidemic; and (4) reducing the volume and density of buildings and increasing the area of green public open spaces and squares can help reduce the distribution of the COVID-19 epidemic.
The Usefulness of the Digitalization Integration Framework for Developing Digital Supply Chains in SMEs
Authors: Pourmorshed Sara , Durst Susanne
Published: November 2022

Although studies in the field of digital supply chains (DSC) have increased in recent years, there is still a lack of theoretical and empirical studies that show how DSC can be successfully implemented. There is a lack of studies in small and medium-sized enterprises (SMEs) in particular. This paper addresses this situation and explores the usefulness of the digitalization integration framework (DIF) proposed by Büyüközkan and Göçer in 2018 for the development of DSC in SMEs. More precisely, based on a case study design involving Swedish SMEs operating in the same supply chain, this paper provides insight into the DSC process of these Swedish SMEs adopting the DIF. The results of the study enable the proposal of an updated framework consisting of five main components in the digitalization process, namely: digital strategy, digital organization and culture, digital operations, digital products and services, and digital customer experience. Furthermore, each component consists of several steps, called sub-components, which could be considered by SMEs when developing DSC to increase the success of this challenging activity.
Long-Lived Sustainable Products through Digital Innovation
Authors: Carlsson Raul , Nevzorova Tatiana , Vikingsson Karolina
Published: November 2022

Digitalization is key for an organization to achieve sustainability leadership, to be able to conform with sustainability objectives, support claims, and inform consumers and consecutive stakeholders. However, there is no impartial, credible, and universal market platform where market competition favors data exchange and traceability of products and materials. This paper addresses the question of how to utilize digital tools to meet the challenges at the interface between the producer and the consumer. The methodology of the study is action research, which includes various qualitative and quantitative research methods. The research results in the creation of an information system platform, which shows how to merge digital information with a product to provide credibility to consumers and support their purchasing decision based on the claimed lifetime of the product, the sustainability requirements met, how the consumer will find service and spare parts, as well as the design of a universal digital twin. This research contributes to the transparency and traceability aspects by showing how organizations can work and cooperate to create verifiable information and establish claims that support resource efficiency decisions, as well as demonstrating how a traceability system can facilitate the efficient use of materials and energy resources.
Relevance of Environmental Surveys on the Design of a New Municipal Waste Management System on the City of Kokshetau (Kazakhstan)
Authors: Bayazitova Zulfiya E. , Rodrigo-Ilarri Javier , Rodrigo-Clavero María-Elena , Kurmanbayeva Aigul S. , Safronova Natalya M. , Belgibayeva Anargul S. , Zhaparova Sayagul B. , Baikenova Gulim E. , Kakabayev Anuarbek A.
Published: November 2022

The increasing amount of municipal solid waste is one of the most urgent problems for many countries in the world, including Kazakhstan. In 2021, a new environmental code was adopted in the country. In accordance with this code, some types of garbage (such as plastic, paper, cardboard or glass) are not accepted at sanitary landfills. Besides this, a separate collection system of municipal solid waste in Kokshetau is practically absent, and only a few points for the collection of secondary raw materials are currently available. The state bodies are faced with the task of introducing dual waste collection technology. This work shows the results obtained by a sociological online survey performed among the residents of the city in order to identify their attitudes with respect to the separation and classification of waste. This survey allowed us to study the level of environmental awareness and interest in solving waste-related issues in the population of Kokshetau. The results show that the majority of the population is concerned about the problem of municipal waste management and is ready to cooperate on the classification of waste at the original source. Additionally, it was revealed that the survey participants have weak environmental knowledge, so it is necessary to conduct environmental education activities for the population. The existence of a statistically significant relationship between the variables under consideration in terms of the Pearson Chi-squared criterion was observed.
Innovative Ecological Transformations in the Management of Municipal Real Estate
Authors: Dziadkiewicz Michał , Włodarczyk Renata , Sukiennik Katarzyna
Published: November 2022

Innovative ecological transformations are implemented in order to improve the quality and comfort of people’s lives, especially in urban spaces. The ecological awareness of the society has increased in recent years, which resulted in the emergence of a growing number of social initiatives in the field of ecological activities. The main purpose of the article was to conduct a survey in order to examine the environmental awareness of the inhabitants and the need to implement pro-ecological solutions in their area of residence. We analysed the results of research carried out among the residents of ZGM TBS Sp. z o.o. in Częstochowa. The authors’ own research presented in the article was conducted in the first and second quarter of 2021 among the inhabitants of a medium-sized city in the Śląskie Voivodeship. Research was conducted in Częstochowa, which is a specialized Silesian region, is one of the most polluted pollutants in Poland, and is a reserved research stand. The survey was conducted with the use of a questionnaire administered to 400 respondents, the number of whom was considered sufficient to express the opinion of a part of the population on the topic under study. The obtained results of the research prove the respondents’ awareness of the implementation of modern ecological solutions, allowing for a reduction in maintenance costs and unfavourable actions for the natural environment. The results of the study clearly indicate the need to adapt urban spaces to the requirements of its community and the respondents’ willingness to implement ecological solutions. Ecological changes in the management of municipal real estate should be implemented and modernized in accordance with the standards set by modern society.
The Nonlinear Model of Intersectoral Linkages of Kazakhstan for Macroeconomic Decision-Making Processes in Sustainable Supply Chain Management
Authors: Kerimkhulle Seyit , Obrosova Natalia , Shananin Alexander , Azieva Gulmira
Published: November 2022

We provide a nonlinear model of intersectoral balance with constant elasticity of substitution (CES) production functions of industries and CES utility function of final consumer for the study of intersectoral linkages in the Kazakhstan economy. The model is formalized in terms of the primal problem of resource allocation and the corresponding Fenchel dual problem which solution gives costs of inputs of industries in a supply network. We identify the model with the actual data of the Input-Output tables of Kazakhstan and estimate the elasticity of substitution of production factors for the aggregated industry complexes. With the help of developed framework, we evaluate the inter-industry financial flows in the aggregated supply network for the period 2013–2020 and compare the results with the actual data of Kazakhstan. The developed framework can be used to support decision-making processes in sustainable supply chain management in a situation of the government economic policy change and external shocks. Using the developed framework, we evaluate the risks for Kazakhstan’s supply chains in scenario of sharp weakening of the national currency.
Public Acceptance of Last-Mile Shuttle Bus Services with Automation and Electrification in Cold-Climate Environments
Authors: Wang Naihui , Pei Yulong , Fu Hao
Published: November 2022

The last-mile shuttle bus service with automation and electrification has emerged to fill gaps in on-demand transportation systems and its goals are to satisfy the door-to-door mobility needs of residents. It could help to enhance the happiness of public travel in cold-climate environments, which is also considered a pro-social public transportation service. Although it has the potential to promote sustainable and environmentally friendly mobility systems, the successful implementation of last-mile shuttle bus services with automation and electrification highly depends on individuals’ willingness to accept. In this paper, a theoretical acceptance model for last-mile shuttle bus services with automation and electrification is proposed. Partial least squares structural equation modeling is employed to examine research model in accordance with 986 valid questionnaires answered by public in snow and ice environments. The outcomes show that the proposed model accounts for 73.4% of the variance in behavioral intention to utilize last-mile shuttle bus services with automation and electrification. The strongest determinants of behavior intention are attitude and perceived usefulness. In addition, perceived risk negatively affects behavioral intention. We also provide theoretical findings and practical suggestions for developing last-mile shuttle bus services with automation and electrification based on the results and our analysis.
Description of Si and Al Release from Aluminosilicate in the Acidic Condition Using Density Functional Theory: Protonated Terminal Oxygen
Authors: Zhang Chen-Yang , Yu Ya-Ling , Yang Huan , Wang Li-Ming , Zhong Ming-Feng , Lin Shao-Min , Zhang Zhi-Jie , Wu Yun-Ying , Liu Yang , Xu Wei
Published: November 2022

The molecular clusters ((HO)3Si-O-Si(OH)3 and (HO)3Al-O-Si(OH)3) representative of aluminosilicate mineral surface were employed to study the dissolution of aluminosilicate in acidic condition via density functional theory (DFT) with the M06-2X+G(d,p) methodology. The surface termination sites (Si and Al) were both tetra-coordinated and the terminal oxygen was protonated in an acidic condition. In the dissolution reaction, the calculated barrier height of the six-membered ring transition state complex containing two water molecules was predicted to be 76.13 kJ/mol, lower than that of the four-membered ring transition state complex containing one water molecule. The barrier height of the reaction decreased to 6.17 kJ/mol and was 91.90% lower than that for the Siter-O-Si without protonation. In addition, the calculated barrier heights for Al-terminated sites were predicted to be 22.23 kJ/mol, lower than those for the Si-terminated sites, suggesting that breaking the Al-O bond is easier than the Si-O bond in the aluminosilicate mineral surface. With the fracture of Si-O and Al-O bonds, the Si and Al release from the aluminosilicate. The results indicate that the acidic condition facilitates the release of Si and Al from the aluminosilicate, and the concentration of Al leaching from the aluminosilicate is higher than the Si.
Metal and Molecular Vapor Separation Analysis for Direct Determination of Mn and Cu by Atomic Absorption Detection, Free of Background Absorption
Authors: Tateishi Ikki , Furukawa Mai , Katsumata Hideyuki , Kaneco Satoshi
Published: November 2022

The metal and molecular vapor separation analysis (MMVSA) of solid samples with an atomic absorption detector (AA) was investigated for the direct determination of manganese and copper in biological materials. An open column made with a molybdenum tube (i.d. 1.22 mm) with three-ring supporters was developed. Pure argon as a carrier gas flowed at a flow rate of 4.0 mL min−1. An ultrasonic agitation method was used for suspending NIST standard reference material powders in water. Manganese and copper in the biological powders were completely separated from Al, Ca, Fe, K, Mg, Na, and Zn elements by MMVSA under optimal experimental conditions. Several NIST biological samples were directly analyzed with satisfactory results. It was found that manganese and copper in biological materials without interferences from matrix elements could be directly determined after only an ultrasonic agitation of the biological powders. The advantages of the slurry sampling of MMVSA are simplicity, low cost, a high speed of analysis, and rapid calibration.
Image Colorization Algorithm Based on Deep Learning
Authors: Wang Na , Chen Guo-Dong , Tian Ying
Published: November 2022

As we know, image colorization is widely used in computer graphics and has become a research hotspot in the field of image processing. Current image colorization technology has the phenomenon of single coloring effect and unreal color, which is too complicated to be implemented and struggled to gain popularity. In this paper, a new method based on a convolution neural network is proposed to study the reasonable coloring of human images and ensures the realism of the coloring effect and the diversity of coloring at the same time. First, this paper selects about 5000 pictures of people and plants from the Imagenet dataset and makes a small dataset containing only people and backgrounds. Secondly, in order to obtain the image segmentation results, this paper improves the U-net network and carries out three times of down sampling and three times of up-sampling. Finally, we add the expanded convolution, and use the sigmoid activation function to replace the ReLU (The Rectified Linear Unit) activation function and put the BN (Batch Normalization) before the activation function. Experimental results show that our proposed image colorization algorithm based on the deep learning scheme can reduce the training time of the network and achieve higher quality segmentation results.
A Novel Peptide from Polypedates megacephalus Promotes Wound Healing in Mice
Authors: Fu Siqi , Du Canwei , Zhang Qijian , Liu Jiayu , Zhang Xushuang , Deng Meichun
Published: November 2022

Amphibian skin contains wound-healing peptides, antimicrobial peptides, and insulin-releasing peptides, which give their skin a strong regeneration ability to adapt to a complex and harsh living environment. In the current research, a novel wound-healing promoting peptide, PM-7, was identified from the skin secretions of Polypedates megacephalus, which has an amino acid sequence of FLNWRRILFLKVVR and shares no structural similarity with any peptides described before. It displays the activity of promoting wound healing in mice. Moreover, PM-7 exhibits the function of enhancing proliferation and migration in HUVEC and HSF cells by affecting the MAPK signaling pathway. Considering its favorable traits as a novel peptide that significantly promotes wound healing, PM-7 can be a potential candidate in the development of novel wound-repairing drugs.
Investigating the Role of Neighborhood Development Offices (NDOs) in the Resilience of Deteriorated Urban Neighborhoods against the COVID-19 Pandemic: An Empirical Study of Tehran, Using a Hybrid Balanced-Based Assessment Framework
Authors: Tayebi Safiyeh , Esfandi Saeed , Bahraini Moqadam Sajedeh , Sharifi Ayyoob
Published: November 2022

This study aimed to develop a balanced-based assessment framework to evaluate the effectiveness of Neighborhood Development Offices’ (NDOs) actions in improving the resilience of Tehran’s deteriorated neighborhoods against the COVID-19 pandemic. For this purpose, considering the main missions of NDOs, 20 indicators were extracted from the literature and delivered to the offices and residents of target neighborhoods to prioritize them. Next, using a combination of the K-means clustering method and the balance-based conceptual model, the degree of balance between the measures taken by NDOs and residents’ needs in each neighborhood was determined. Finally, short-term actions (such as teaching health protocols, providing neighborhood services, and providing walking and cycling infrastructures) and long-term actions (developing public spaces, facilitating access to healthcare, and reducing social inequality) are suggested, which simultaneously promote balanced resilience against the COVID-19 pandemic and possible future pandemics in all aspects of NDOs’ missions. The framework presented in this research can also be used to evaluate and boost the resilience of other deteriorated neighborhoods with similar conditions.
Systematic Genomic Surveillance of SARS-CoV-2 Virus on Illumina Sequencing Platforms in the Slovak Republic—One Year Experience
Authors: Rusňáková Diana , Sedláčková Tatiana , Radvák Peter , Böhmer Miroslav , Mišenko Pavol , Budiš Jaroslav , Bokorová Silvia , Lipková Nikola , Forgáčová-Jakúbková Michaela , Sládeček Tomáš , Sitarčík Jozef , Krampl Werner , Gažiová Michaela , Kaliňáková Anna , Staroňová Edita , Tichá Elena , Vrábľová Terézia , Ševčíková Lucia , Kotvasová Barbora , Maďarová Lucia , Feiková Soňa , Beňová Kristína , Reizigová Lenka , Onderková Zuzana , Ondrušková Dorota , Loderer Dušan , Škereňová Mária , Danková Zuzana , Janíková Katarína , Halašová Erika , Nováková Elena , Turňa Ján , Szemes Tomáš
Published: November 2022

To explore a genomic pool of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the pandemic, the Ministry of Health of the Slovak Republic formed a genomics surveillance workgroup, and the Public Health Authority of the Slovak Republic launched a systematic national epidemiological surveillance using whole-genome sequencing (WGS). Six out of seven genomic centers implementing Illumina sequencing technology were involved in the national SARS-CoV-2 virus sequencing program. Here we analyze a total of 33,024 SARS-CoV-2 isolates collected from the Slovak population from 1 March 2021, to 31 March 2022, that were sequenced and analyzed in a consistent manner. Overall, 28,005 out of 30,793 successfully sequenced samples met the criteria to be deposited in the global GISAID database. During this period, we identified four variants of concern (VOC)—Alpha (B.1.1.7), Beta (B.1.351), Delta (B.1.617.2) and Omicron (B.1.1.529). In detail, we observed 165 lineages in our dataset, with dominating Alpha, Delta and Omicron in three major consecutive incidence waves. This study aims to describe the results of a routine but high-level SARS-CoV-2 genomic surveillance program. Our study of SARS-CoV-2 genomes in collaboration with the Public Health Authority of the Slovak Republic also helped to inform the public about the epidemiological situation during the pandemic.
Geographic and Socioeconomic Inequalities in Delays in COVID-19 Vaccinations: A Cross-Sectional Study in Indonesia
Authors: Megatsari Hario , Kusuma Dian , Ernawaty Ernawaty , Putri Nuzulul K.
Published: November 2022

Background: Previous studies have provided evidence of inequalities in the coverage of COVID-19 vaccination. However, evidence of such inequalities in delays in vaccinations is lacking. Our study examined the socioeconomic and geographic disparities in terms of days to get the first and second dose of COVID-19 vaccinations in Indonesia. Methods: We conducted a cross-sectional study using the WhatsApp messaging app and social media platforms during December 2021–February 2022. We distributed the questionnaire through our university network to reach all regions. We included 3592 adults aged 15+ years in our analysis. We used two main dependent variables: days to receive the first dose (after national vaccine rollout) and days to receive the second dose (after receiving the first dose). We examined a range of socioeconomic and geographic indicators, including education level, income level, formal employment, working in health facilities, being a health worker, and region. We controlled for sex, age, religion, and urbanicity. We performed multivariate logistic regressions in STATA 15. Results: Our findings show considerable delays in getting the first dose among participants (160.7 days or about 5.4 months on average) from Indonesia’s national COVID-19 vaccination rollout on 13 January 2021. However, we found a shorter period to receive the second dose after receiving the first dose (41.1 days on average). Moreover, we found significant socioeconomic (i.e., education, income, formal employment, working in health facilities, and being a health worker) and geographic (i.e., in and out of the Java region) inequalities in terms of delays in getting the first dose. However, we did not find significant inequalities in getting the second dose for most inequality indicators, except for working in health facilities. By region, we found that participants living in more deprived areas (out of the Java region) received the second dose 4.9 days earlier. One of the study’s key limitations is that there may be an inherent bias with respect to socioeconomics factors since it was conducted online (web-based). Conclusions: While there were considerable delays in getting the first dose, especially among those of a lower socioeconomic status and those in more deprived areas, the waiting time for the second dose was relatively similar for everyone once they were in the system. Effective efforts to address inequalities are essential to ensuring the effectiveness of the national COVID-19 vaccination rollout.
Preliminary Studies on the Intrahepatic Anatomy of the Venous Vasculature in Cats
Authors: Metzger Mélanie Davy , Van der Vekens Elke , Rieger Juliane , Forterre Franck , Vincenti Simona
Published: November 2022

Hepatic surgeries are often performed in cats to obtain a disease diagnosis, for the removal of masses, or for the treatment of shunts. Whereas the vascular anatomy of the liver has been studied in dogs, such evidence is lacking in cats. The current study used corrosion casts of portal and hepatic veins and computed tomography (CT) analysis of the casts to identify and describe the intrahepatic anatomy in healthy cat livers (n = 7). The results showed that feline livers had a consistent intrahepatic portal and venous anatomy, with only minor disparities in the numbers of secondary and tertiary branches. The feline portal vein consistently divided into two major branches and not three, as previously described in the literature for cats. The finding of a portal vein originating from the right medial lobe branch leading to the quadrate lobe in 4/7 specimens is a novelty of the feline anatomy that was not previously described in dogs. Partial to complete fusion of the caudate process of the caudate and the right lateral lobe, with a lack of clear venous separation between the lobes, was present in two specimens. These findings allowed a detailed description of the most common intrahepatic venous patterns in cats. Further anatomical studies should be encouraged to confirm the present findings and to investigate the utility of this information in surgical settings.
Efficiency of Adsorption and Photodegradation of Composite TiO2/Fe2O3 and Industrial Wastes in Cyanide Removal
Authors: Amaro-Medina Blanca Margarita , Martinez-Luevanos Antonia , Soria-Aguilar Ma. de Jesus , Sanchez-Castillo Marco Antonio , Estrada-Flores Sofia , Carrillo-Pedroza Francisco Raul
Published: November 2022

This research focused on the evaluation of the Fe2O3/TiO2 composite and two industrial wastes, a kaolin (Clay-K) and a blast furnace sludge (BFS), as adsorbents and/or photocatalytic materials to enhance the removal of cyanide from aqueous solutions. Cyanide adsorption tests were conducted in the absence of light. In contrast, cyanide photodegradation tests were conducted under three types of irradiations: visible light, ultraviolet (UV) light, and natural sunlight. For the latter case, two irradiance conditions were evaluated. Cyanide adsorption from aqueous phases was similar for Clay-K and TiO2/Fe2O3 materials, which adsorbed almost twice as much cyanide compared to the BFS sample. The differences observed in cyanide removal were explained in terms of the material’s surface area and chemical composition, and a complexation of cyanide ions with surface metals was suggested as the most feasible adsorption mechanism. The set of cyanide photodegradation experiments promoted, in general, higher cyanide removal from the aqueous solution compared to the adsorption processes. Under the conditions used in this study and when using Clay-K and BFS as promoters, cyanide photodegradation progressively enhanced with the following radiations: visible light < UV light ~ UV+solar ≤ Visible+solar. In the case of the TiO2/Fe2O3 composite, cyanide photodegradation increased in the following order: UV light < visible light < UV+solar ~ Visible+solar. Clearly, solar radiation had a significant effect on promoting cyanide removal. For experiments conducted with natural sunlight, the set with irradiance of 600–800 W/m2 exhibited the highest cyanide removal percentage, and the BFS had the best performance among the three tested samples over a period of 2 h. Results showed the benefit of using industrial wastes to remove cyanide from aqueous solutions and illustrates remediation of industrial effluents is potentially feasible within the framework of a circular economy.
Comparative Influence of Biochar and Zeolite on Soil Hydrological Indices and Growth Characteristics of Corn (Zea mays L.)
Authors: Ghorbani Mohammad , Amirahmadi Elnaz , Konvalina Petr , Moudrý Jan , Bárta Jan , Kopecký Marek , Teodorescu Răzvan Ionuț , Bucur Roxana Dana
Published: November 2022

Biochar and zeolite, due to their porous structure, are supposed to be appropriate soil amendments especially in agricultural areas with a lack of water or unsuitable soils with coarse texture. Two soil additions that are intended to assist an increase soil water content (AWC) are biochar and zeolite. With this aim, the effects of biochar and zeolite at two levels of 5 and 10 t ha−1 (known as B5, B10, Z5, and Z10) on soil hydrological properties and consequently corn growth were investigated in this study. The results showed that the application of B5 and B10 significantly improved AWC by 76% and 48% due to increasing soil micro- and meso-pores. The application of Z5 and Z10, associated with an increase of macro-pores in soil, enhanced saturated hydraulic conductivity (Ks) up to 174% and 303% and caused losses. The highest specific surface area and mean weight diameter in soil obtained from B10 had an increase of 171% and 197% over the control. Biochar treatments considerably affected plant growth features and shoot nutrient content, whilst zeolite treatments had an impact that is much less apparent than that of biochar. Observations indicate that biochar greatly boosted nutrient availability and water retention in the soil by raising the share of micro- and mezzo-pores, respectively, and as a result, has benefited plant growth. Increasing the level of biochar application from 5 to 10% would have more positive effects on the water available in the soil and on plant root systems. In contrast, the high rate of application of zeolite particles due to coarseness and adding Na+ ions to the soil caused the dispersion of soil particles, the destruction of soil structure, increasing Ks and water loss and consequently a reduction in plant growth.
A Systematic Review and Narrative Synthesis of the Relationship between Social Support and Binge Drinking among Adolescents and Emerging Adults
Authors: Villar Eva , Martínez-López Zeltia , Mayo M. Emma , Braña Teresa , Rodríguez Mauro , Tinajero Carolina
Published: November 2022

Binge drinking (BD) is a high-risk pattern of alcohol consumption that is remarkably prevalent among teenagers and emerging adults. This pattern is thought to alter social networks, affecting access to social support (SS), which is considered essential for adjustment during transitional periods and may in turn play a proactive role against risk behaviors. In this review, we aim to synthesize the available data on the relationship between BD and SS in teenagers and emerging adults. Therefore, a search on three electronic databases was conducted (Web of Science, PsycInfo and PubMed). Articles were screened using eligibility criteria in line with the investigation question and the methodological quality of the studies were reported. Data were analyzed using a narrative synthesis approach. Cross-sectional and longitudinal data suggested that SS is associated with the onset, frequency, and intensity of BD; this relation varies with age, gender, and source of support (family or peers). From developmental and socio-cognitive points of view, the following conclusions were reached: (a) effects beyond the detrimental consequences of BD must be considered in order to interpret the data, and (b) social support should be taken into consideration in intervention strategies.
The role of ecotourism in the diversification of the regional hotel product of Kamchatka Krai
Authors:   Hotel Business and Tourism Institute Peoples’ Friendship University of Russia, Vodonovskaya A. A.
Published: November 2022

Trends are such that ecotourism is a promising area of tourism development, and Kamchatka is no exception. The article considers tourist areas of Kamchatka, which are the most relevant to the topic of the study.
ПРО ВПЛИВ МІЖНАРОДНО-ПРАВОВИХ АКТІВ НА ЕФЕКТИВНІСТЬ ГРОМАДСЬКОГО КОНТРОЛЮ У СФЕРІ ВИКОНАННЯ ПОКАРАНЬ УКРАЇНИ
Authors: Герасим П.
Published: November 2022

У статті з’ясовано зміст норм міжнародного права, що стосується процесу виконання – відбування покарань, їх вплив на зміст громадського контролю у цій галузі суспільної діяльності, а також встановлені існуючі у зв’язку з цим проблеми та розроблені науково обґрунтовані шляхи їх усунення.
ДО ПРОБЛЕМИ ВИЗНАЧЕННЯ ПОНЯТТЯ «НАЦІОНАЛЬНА БЕЗПЕКА»
Authors: Кобко Є.
Published: November 2022

У статті, спираючись на аналіз наукових поглядів вчених стосовно сутності понять «безпека» та «нація», запропоновано авторське визначення категорії національна безпека. Розкрито співвідношення понять державна безпека та національна безпека. Акцентовано увагу на тому, що національна безпека потребує належного адміністративно-правого захисту та охорони.
Factors and Indicators of Russian Shadow Economy: An Empirical Analysis of Regional Data
Authors: Arzhenovskiy S. V. , Orlova Yu. A. , Semerikova E. V. , Sidorova E. E.
Published: November 2022

The purpose of the research is to assess factors influencing the rescaling of the shadow economy in the Russian Federation (on the example of certain regions). The analysis was carried out using mathematical and statistical methods according to regional statistics for 2013–2019. In particular, a model of multiple indicators and factors (MIMIC) was built. It adapted to the panel data structure. Variables characterizing the tax burden, government regulation and the state of the labor market were used as factors. As indicators of the shadow economy – monetary variables and characteristics of the formal economy.It is shown that in the conditions of economic difficulties there was a «compression» of the scale of the shadow economy in certain regions. According to the authors, a significant role in reducing the shadow component in the regional economy over the period under review was played by the improvement of the tax administration mechanism in the process of forming regional and local budgets (personal income tax, property taxes) as well as coordination of interdepartmental interaction in order to reliably determine the size of the taxable base. The positive role of preferential taxation regimes, which can be established by regional authorities, was proved. A significant impact on the scale of shadow activity of the structure of the regional economy and conditions in the labor market was discovered: a high share of the extractive industry and an increase in wages in the region compared to the average Russian level create incentives for participation in the formal economy and reducing the scale of the shadow economy.The modeling results confirmed the relevance of shadow economy indicators: the larger size of the regional shadow economy entails less participation in the labor force and an increase in cash turnover.The conclusions obtained from a new angle focus on the task of improving the investment climate, reducing pressure on entrepreneurship, and supporting small and medium-sized businesses.
Experience in Using Sample Surveys in Assessing the Prerequisites for Emigration to Russia (On the example of the Republic of Armenia)
Authors: Oksinenko V. G.
Published: November 2022

The purpose of this work is to examine the characteristics of households in the Republic of Armenia that send migrants to Russia compared with households that do not have migrants or that are not in Russia. The author used data from the sample survey – the Household’s Integrated Living Conditions Survey in the Republic of Armenia. The relevance of the study is emphasized, in particular, in connection with Armenia's accession to the EAEU and the creation of a single labor market.The article focuses on the survey programme, which includes questions that allow to characterize households by various parameters (in particular by household size, average per capita income, level of education, proportion of women, children and elderly in a household, migration component).The paper analyses households included in the survey (with household members who emigrated to the Russian Federation). Comparing this group with households without migrants or with migrants in other countries and regions shows that Russia is mainly chosen by labor migrants from households that live in rural areas, have a relatively small proportion of children, women, and the elderly. At the same time, such households are more numerous, the age of their heads is within the limits of the senior working age, and the proportion of working members is higher than in other households. Statistical analysis based on the data of the sample survey under consideration suggests that emigration to Russia is chosen mainly by households with a relatively low level of financial well-being. Thus, for a certain part of Armenian households, participation in labor migration to Russia is, in their opinion, a keyway to obtain a livelihood or an opportunity to increase the level of financial well-being of the entire household.
Réflexions sur un problème d'aménagement du littoral. Du secteur côtier au secteur touristique.
Authors: Bousquet Bernard
Published: November 2022

Le secteur côtier est considéré comme support d'un aménagement touristique. Il est défini par rapport au littoral et au rivage. Le secteur côtier est caractérisé à la fois par la loi de composition du littoral et par les processus de composition du rivage. Il peut se définir comme une structure morphologique littorale. Celle-ci est mise en évidence grâce à une cartographie fondée sur les caractères d'intensité de la houle, du vent, de la topographie, du couvert végétal et de l'activité humaine. Une telle représentation doit permettre l'élaboration d'un paysage en équilibre.
À propos de la maison rurale : introduction à la notion de paysage monumental
Authors: Bousquet Bernard
Published: November 2022

Selon le degré d'utilisation de la maison vis à vis de l'activité agricole, on peut classer les maisons rurales en cinq types. Les types permettent de définir un paysage monumental révélant le dynamisme d'une région rurale.
Analyse du milieu agricole de Corcoué-sur-Logne face au remembrement et propositions en vue de l'établissement d'un plan des paysages
Authors: Croix Nicole , Le Rhun Pierre-Yves , Renard Jean
Published: November 2022

Les auteurs résument un travail d'enquête sur le terrain effectué sur la commune de Corcoué sur Logne (Loire Atlantique) dont le but était de présenter un plan du bocage à conserver à l'occasion du remembrement officiel de la commune.

Après avoir décrit rapidement les conditions physiques et agricoles les auteurs précisent la méthode suivie pour élaborer les trois cartes documents sur le parcellaire des exploitations, l'utilisation du sol et les haies à conserver qui ont été fournis à l'administration et au géomètre.

Ils rappellent l'hétérogénéité des conditions,

le grand nombre de facteurs dont il faut tenir compte pour réussir un remembrement et ils invitent à faire preuve de prudence dans une telle opération chirurgicale en milieu bocager. Le rôle du géographe auprès des agriculteurs et du géomètre est précisé et approfondi.