bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship of Sense of Coherence to Healthy Behavior in Taekwon-Do Athletes
Authors: Ortenburger Dorota , Mosler Dariusz , Cholewa Jarosław , Wąsik Jacek
Published: January 2023

This study aimed to examine the relationship between sense of coherence and the level of health behavior among men and women who train Taekwon-Do. The research encompassed 121 (69 men and 53 women) Taekwon-Do athletes. The gauging was conducted by means of standardized tools in the field of health psychology: the Questionnaire of Life Orientation, the Pain Strategies Questionnaire and the Health Behavior Inventory. The registered variables were subjected to typical descriptive analysis. Multiple regression analysis was performed. The adjustment of the regression model was checked by ANOVA. The co-dependency between the variables was defined as Pearson’s correlation coefficient. The level of statistical significance was established at p < 0.05. The results of the sense of coherence are higher for men (36.83 ± 12.45) than women (33.17 ± 10.60). Diverting attention away from feelings and thoughts of pain is strongly correlated with reinterpreting pain sensations (r = 0.75) and is moderately correlated with the behavioral strategy as well as increased behavioral activity (r = 0.46). Constructive mobilization under pressure shows compatibility with resourcefulness (r = 0.44), comprehensibility (r = 0.39) and meaningfulness (r = 0.46). Sex differentiates the intensity of constructive mobilization to act under the impact of stress according to the subjective evaluation of both male and female Taekwon-Do fighters. The intensity of healthy behavior amongst women and men who practice Taekwon-Do differs. In the case of women, the value of the global indicator of healthy behavior was higher than in the case of men. This strategy defined as catastrophizing turned out to be commensurate in a negative way with all the three elements of the sense of coherence. Catastrophizing correlates negatively with the intensity of constructive mobilization for action under stress.
Gender Analysis of Uptake of Trichogramma chilonis to Control Helicoverpa armigera on Tomato Crops in Pakistan
Authors: Terefe Bethel , Danish Muhammad , Faisal Shah , Holmes Keith A. , Luke Belinda , Williams Frances
Published: January 2023

The production of tomato in Pakistan is affected by Helicoverpa armigera, which causes significant crop loss. Farmers mostly use insecticides to control the pest, but an excessive and indiscriminate use of these products has resulted in environmental and health hazards. Trichogramma is promoted as an alternative bio-control method. This study aimed to look at gender-related barriers against the uptake of Trichogramma by farmers in the Punjab, Sindh, and Khyber Pakhtunkhwa provinces of Pakistan. Key-informant interviews were conducted with the researchers and agricultural extension staff involved in the dissemination of this technology. In-depth interviews and focus-group discussions were carried out with female and male farmers using Trichogramma and with non-using farmers. Results showed that communicating directly with women about the bio-control method helped to improve uptake by farming households. The reduced health risks of the bio-control method was important for female farmers, while male farmers were more concerned about the effectiveness of the bio-control method compared with pesticides. Using Trichogramma helped to reduce the time and labour spent by men on pest management and improved their yield and income. However, it increased the demand on women’s time and labour while their decision-making roles regarding the income from tomato production remained low. A lack of information, training, and reliable supply were the main reasons non-using farmers had for not using Trichogramma.
Automation of Large-Scale Gaseous Ozonation: A Case Study of Textile and PPE Decontamination
Authors: Epelle Emmanuel I. , Yaseen Mohammed , Macfarlane Andrew , Cusack Michael , Burns Anthony , Rolland Luc
Published: January 2023

There is an ever-growing need in several industries to disinfect or sanitise products (i.e., to reduce or eliminate pathogenic microorganisms from their surfaces). Gaseous ozone has been widely applied for this purpose, particularly during the era of the COVID-19 pandemic. However, the large-scale deployment of this technology usually involves a manually-operated chamber, into which articles are loaded and subsequently unloaded after treatment—a batch process. Although the development of large-scale, automated and continuous ozonation equipment has hardly been reported in the literature, this has tremendous potential for industries seeking to decontaminate certain articles/products in a rapid and effective manner. In this paper, an overview of the design and implementation considerations for such an undertaking is evaluated. By presenting a case study for a developed automated system for clothing and personal protective equipment (PPE) disinfection, we provide key data regarding the automation procedure/design’s considerations, risks, material compatibility, safety, sustainability and process economics. Our analysis shows that the transfer time for garments between successive chambers and the agility of the sliding doors are crucial to achieving the desired throughput. The automated system is capable of effectively treating (20 ppm ozone for 4 min) 20,000 garments within an 8-h shift, based on a transfer time of 2 min and a sliding door speed of 0.4 m/s. The flexibility of the system allows for variation in the concentration or exposure time, depending on the contamination level and the consequent decontamination efficiency desired. This flexibility significantly limits the degradation of the material during treatment. A return on investment of 47% is estimated for this novel system.
The Nexus between GHGs Emissions and Clean Growth: Empirical Evidence from Canadian Provinces
Authors: Haider Azad , Rankaduwa Wimal , Shaheen Farzana , Jabeen Sunila
Published: January 2023

Canada is one of the most emission-intensive economies in the world and the big challenge for Canada and its provinces is in how to mitigate the GHGs while keeping the same pace of economic growth. This paper’s main objective is to examine the relationship between greenhouse gas (GHGs) emissions and clean growth using cross-sectional data for Canadian provinces from 1995 to 2019. Based on the results of the cross-sectional dependence, slope heterogeneity, and Hausman test, the study applied the pooled mean group (PMG) estimators. For the robustness of the results, the study also provided the results of augmented mean group (AMG) estimators. The results of Westerlund’s test show that the variables of the estimated models are cointegrated in the long run except in the case of the carbon intensity (GHGs/Energy) model, while no short-run relationship was observed. The main findings of both estimators show that an inverted U-shaped relationship exists in the case of the carbon intensity model. In contrast, as expected, a U-shaped relationship exists in the case of the energy intensity model. The results also confirmed that Canada reduced its GHGs emissions after 2005 and that GHGs emissions and energy intensity are decreasing over time. At the province level, only Alberta has no long-run relationship as regards carbon intensity and energy intensity, while Nova Scotia and British Colombia have no long-run relationship as regards energy intensity. In terms of tipping points, Canada is in the increasing phase of the inverted U-shaped curve in the case of carbon intensity, while in the decreasing phase of the U-shaped curve in the case of energy intensity. There is a significant decrease in greenhouse gas emissions per capita at the provincial level compared to the 2005 base levels. It is imperative to reduce greenhouse gas emissions per capita in Canada and its provinces over time by gradually rolling out energy-saving incentives rather than by using more efficient energy-saving technology. The government of Canada should shift towards low-carbon energy and renewable sources which emit fewer greenhouse gases per unit of energy produced.
Food Purchase from Family Farming in Public Institutions in the Northeast of Brazil: A Tool to Reach Sustainable Development Goals
Authors: de Souza Sthephany Rayanne Gomes , Vale Diôgo , do Nascimento Hortência Ingreddys Fernandes , Nagy Juliano Capelo , da Silva Junior Antônio Hermes Marques , Rolim Priscilla Moura , Seabra Larissa Mont’Alverne Jucá
Published: January 2023

The purchase of food from family farming in public institutions in Brazil was boosted by the implementation of the public call modality. The National School Feeding Program—PNAE— and the Food Acquisition Program—PAA— are world references in terms of purchasing food from family farming. However, hindrances are still observed regarding the participation of small farmers in public purchase of food, reducing their participation and scope of the food products available. Using a cross-sectional approach, this study analyzed food from family farming purchased by federal institutes of education located at the northeast region of Brazil to characterize the profile of family farmers participating on public calls, identify the food required and verify the processing level of food present into these documents. The data obtained indicate that family farmers supply mainly in natura or minimally processed foods, especially fruits. Meat and meat products were not present and processed foods, such as cheese, were not purchased extensively from family farmers by federal institutes, even when farmers were grouped into cooperatives and associations. Failure to comply with sanitary requirements required in the public call process was the main reason for the non-homologation of some food from family farming. The data found in this study show that despite the advances that allowed the purchase of food from family farming in public educational institutions, it is necessary to find ways to increase the diversity of food. Investing in improving structural conditions would be a way to increase the quality and diversity of food provided by family farming in public institutions, contributing to the environmental, social, and health dimensions of sustainability.
Measurement and Multiple Decomposition of Total Factor Productivity Growth in China’s Coal Industry
Authors: Zhang Ming , Wang Wensheng , Sun Xialing
Published: January 2023

Optimizing the industry development system and implementing a high-quality development strategy in China’s coal industry require us to grasp the overall status and regional differences of industrial development. Measuring and decomposing the total factor productivity growth of the coal industry is a necessary prerequisite. In this study, we estimated the total factor productivity (TFP) growth of coal industry in 24 major coal-producing provinces in China by constructing a stochastic frontier analysis (SFA) model based on a translog production function and decomposed it into technological progress change (TC), technical efficiency change (TE), scale efficiency change (SE), and factor allocation efficiency (AE). After analyzing the temporal evolution characteristics of TFP growth and its decomposition terms, we also characterized the spatial characteristics by region and province. The results showed that TFP growth in China’s coal industry is on the rise, with TC growth being the main driving factor of this; additionally, the weak growth of SE and AE also plays a limited role in this increase, while the decrease in TE hinders this trend. There are also significant regional differences in the TFP growth of China’s coal industry, with a ranking of central > west > east > northeast. Drivers of TFP growth vary between regions or in different provinces within the same region.
Evaluation Model Research of Coal Mine Intelligent Construction Based on FDEMATEL-ANP
Authors: He Lin , Yuan Dongliang , Ren Lianwei , Huang Ming , Zhang Wenyu , Tan Jie
Published: January 2023

To improve intelligent construction standard systems in coal mines, we must promote the high-quality development of the coal mining industry. The current intelligent construction of coal mines is inefficient. Considering the complexity and diversity of coal mine intelligent construction index factors, this paper proposes an intelligent coal mine construction evaluation model that integrates the fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and the analytical network process (ANP). Firstly, the evaluation index system is established based on the intelligent construction of coal mines. Secondly, the FDEMATEL is applied to deal with the fuzziness in the evaluation process and determine the influence relationship between the evaluation indexes of coal mine intelligent construction to draw the ANP network structure diagram. Finally, super decision software is used to calculate the weight of coal mine intelligent construction evaluation indexes, and then obtain the combination weight and correlation degree of each evaluation index. By applying the evaluation model to conduct a comprehensive evaluation of coal mine intelligent construction, the results show that there is a significant correlation between the indexes affecting the intelligent construction of coal mines. Basic platform intelligence and safety monitoring intelligence are the two most important aspects of intelligent coal mine construction. Database construction, mobile internet construction, big data support, and model algorithm support are the key indexes affecting the intelligent construction of coal mines.
Utilization of Marine Geospatial Data for Determining Optimal FAD Locations in Improving the Living Standards of the North Gorontalo Coastal Community
Authors: Djunarsjah Eka , Julian Miga Magenika , Muhammad Fickrie , Putra Andika Permadi , Lubis Nafandra Syabana , Welly Tri Kies , Irwansyah Firman , Wahab Wulan Abdul , Pamungkas Bagaskoro
Published: January 2023

The use of fishing aids called Fish Aggregating Devices (FADs) has become a polemic in the context of realizing sustainable fisheries management. On the one hand, the use of FADs can increase fishermen’s catches. However, on the other hand, the use of FADs without proper management will result in unsustainable fish availability due to overfishing. The FADs used are also not always correlated with increased catches. At certain times, FADs used by fishermen can be lost because they are carried away by the current, which is clearly very detrimental to both fishermen and the environment. Utilization of geospatial information is one of the efforts to connect existing policies regarding the use of FADs, safety aspects, and optimizing the number of fishermen’s catches. The main focus of this study is the utilization of geospatial information such as the modeling of ocean currents, analysis of potential fishing zones, analysis of sea depth positions, and analysis of prohibited zones for the placement of FADs. The model and policy analysis results are used to determine recommendations for the optimal placement of FADs in the northern sea of the province of Gorontalo. In this study, an analysis of the influence of FADs on the economy of the community, especially the coastal community of North Gorontalo Regency, was also carried out. Recommended areas for FAD placement are divided into class 1 (low recommendation), class 2 (medium recommendation), and class 3 (high recommendation). The results of the recommendation for FAD placement areas resulted in 5 FADs being in the level 1 area, 27 FADs being in the level 2 area, and 6 FADs being in the level 3 area. Installed FADs cannot be moved to a different location because the installation is permanent. The findings of this study will help those who install new FADs to decide on a secure site for their installation. By paying attention to the shape of FADs, fishing gear, and the conditions of placement of existing FADs, it can be analyzed that the main catch targets of fishermen are pelagic (pelagic) fish, which is evidenced by the catches of fishermen in North Gorontalo Regency, which are dominated by large pelagic fish and small pelagic fish with a total catch of 21,535,604 kg. in 2021. Thus, it can be inferred that FADs have a significant role in supporting the economy that revolves around fishers, especially in North Gorontalo Regency, and with the stock of pelagic fish, which is still relatively high, it is possible to support the economy of the people of North Gorontalo Regency in the long term.
Job Crafting Competences and the Levels of Self-Organization, Job Satisfaction and Job Redesign in a Mature Organization
Authors: Kardas Jarosław Stanisław
Published: January 2023

This research focused on the effect of employee competences on job crafting in a mature organization, but the levels of self-organization, job satisfaction and job redesign were also investigated. In order to assess the relationship between variables and the significance of differences between response groups, contingency tables were used and chi-square tests were conducted, with p < 0.05 as the limit of statistical significance. All calculations were performed using IBM SPSS. The opinions of employees (n = 300) were analyzed in the context of job satisfaction, competences recognized as strengths, self-organization in the workplace and the acceptance of supervisors of suggested job redesign. The research showed that employees of a mature organization consider the following competence areas to be their strengths: cooperation with others, work organization and timely implementation of tasks. According to the survey, employees were able to redesign their jobs in the area of work organization, working time and task timeline, and they obtained the approval of their superiors. Self-organization in the workplace and job satisfaction were important to them, but in some areas they had limited freedom to implement job crafting. As an important starting point for extended studies, the results of the research might encourage responsible staff management to focus on the modeling of sustainable work.
Disentangling Learning Network Dilemma: A Small-World Effect in a Globalized World
Authors: Almahendra Rangga
Published: January 2023

During this pandemic, Research and Development (R&D) firms were faced with the challenge to engage in collaborative networks to immediately find the cure for coronavirus. However, the closed and local model of the innovation ecosystem causes the innovation process carried out by a single laboratory to be slow and ineffective. We study how R&D firms should configure the open innovation ecosystem network for optimal collaborative learning. We argue that value creation in collaborative learning can be influenced by configuring structural connections and relational cohesion in a network of inter-organizational R&D collaborations. A model based on a combination of two network configurations, namely, inter-network connections and intra-network cohesion, was tested on 204 R&D collaborations from the pharmaceutical industry. Our study found an interaction effect between inter-network connections and intra-network cohesion on knowledge acquisition performance. Furthermore, when seeking optimal knowledge transfer, increasing investment commitment in R&D collaboration is more effective than extending the duration of a relationship. This study contributed a dynamic model of collaborative learning by testing the complementary effects between structural and relational configurations in the external and internal firm’s innovation ecosystem for sustainable knowledge acquisition performance.
An Optimal Location-Allocation Model for Equipment Supporting System Based on Uncertainty Theory
Authors: Li Han , Xie Wenshu , Wen Meilin , Li Shuyu , Yang Yi , Guo Linhan
Published: January 2023

Scientific support depot location and reasonable spare parts transportation are the keys to improving the support level of complex systems. The current equipment support system has the problems of chaotic warehouse layout and low efficiency of spare parts. The reliability and completeness of spare parts’ historical data are hard to believe. In order to deal with the cognitive uncertainty caused by the asymmetry of data, this paper adopts the uncertainty theory to optimize the depot location and transportation volume. Under the constraints of shortage rate, supply availability, average logistic delay time, and inventory limit, the uncertain chance-constrained model of equipment supporting depot is established. The optimization model is transformed into a deterministic model by using the inverse uncertainty distribution. The genetic algorithm is used to optimize the solution of this model. Finally, the practicability and operability of the model method are verified through the example analysis.
Proteinaceous Venom Expression of the Yellow Meadow Ant, Lasius flavus (Hymenoptera: Formicidae)
Authors: Wang Binwei , Xiao Qiaoli , Li Xun , Wang Jun , Zhu Jiaying
Published: January 2023

Ants are one of the important groups of venomous animals with about 14,000 described species. Studies so far focused on the discovery of venom proteins are only available for limited stinging ants, and the proteinaceous compositions of the stingless ants are completely unknown. Here, we used the transcriptomic approach to identify venom components from the yellow meadow ant, Lasius flavus, a stingless ant. The transcriptomic analysis yielded an extraordinary simplicity of the venom expression profile, with 17 venom proteins, such as phospholipase B, odorant binding protein, and apolipoprotein D. Ten of them were discovered as novel toxins for future functional investigations. Quantitative real time PCR analysis revealed that genes encoding the identified venom proteins display exclusively or highly expression profiles in venom glands, validating them as venom compositions. Our findings contribute to the understanding of the evolutional diversity of toxins between stinging and stingless ants.
Numerical Investigation of Water Inflow Characteristics in a Deep-Buried Tunnel Crossing Two Overlapped Intersecting Faults
Authors: Wu Jing , Lu Yani , Wu Li , Han Yanhua , Sun Miao
Published: January 2023

Because fault core zones and damage zones overlap, when a tunnel crosses the intersecting faults the groundwater flow characteristics of the tunnel-surrounding rock will be different compared to that from a single fault. By using the theory of “Three-district zoning of faults”, an improved Darcy–Brinkman numerical model for a tunnel crossing the intersecting faults was established in this work. Based on the relative vertical positions between the tunnel axis and the intersection center of faults, the underground water seepage field was analyzed at steady-state by solving the improved Darcy–Brinkman equation for the host rock zone and the fault zone. The simulation results show that the flow field around the tunnel is almost unaffected by the relative positions but is mainly dependent on the relative heights. Specifically, the relative position variation of the fault intersection to the tunnel axis has little effect on the pore pressure. In terms of flow velocity, regardless of the relative positions of the fault intersection and the tunnel, the maximum value of flow velocity almost occurs near the bottom of the tunnel excavation face and consistently displays high values within a small distance ahead of the excavation face, and then decreases quickly as the distance increases. Furthermore, the flow velocity changes minimally in the host rock. It will likely encounter the maximum water inflow rate when the tunnel excavation face passes through the intersection. The numerical simulation results can provide a practical reference for predicting water inflow into deep-buried tunnels passing through overlapped intersecting faults.
Long-Term (2002–2021) Trend in Nutrient-Related Pollution at Small Stratified Inland Estuaries, the Kishon SE Mediterranean Case
Authors: Herut Barak , Gertner Yaron , Segal Yael , Sisma-Ventura Guy , Gordon Nurit , Belkin Natalia , Rahav Eyal
Published: January 2023

Nutrient pollution may negatively affect the water quality and ecological status of rivers and estuaries worldwide, specifically in stratified and small inland estuaries. We present a long-term, two-decade data set of dissolved inorganic nutrient concentrations, chlorophyll-a (chl-a), dissolved oxygen (DO), and potentially toxic algal cell concentrations at the Kishon River estuary (Israel) as a case study for assessing nutrient ecological thresholds in such type of estuaries, prevalent along the Mediterranean coast of Israel. In-situ measurements and water samples were collected at 3 permanent stations at the lower part of the estuary every March and October/November in 40 campaigns over the years 2002 to 2021. In spite of an improvement in nutrient loads and concentrations as recorded over the last 2 decades, the nutrient and chl-a levels at the Kishon estuary surface water represent mostly a ‘bad’ or ‘moderate’ ecological state, considering the recommended thresholds discussed in this study. It is suggested to develop a combined suite of nutrient and biological variables for assessing Good Environmental Status (GES), considering the relatively high residence time of such small, low-flow estuarine water bodies.
Bimodal Bed Load Transport Characteristics under the Influence of Mixture Ratio
Authors: Liu Mingxiao , Zhu Yongjie , Zhou Zixi , Sun Dongpo
Published: January 2023

The transport of a non-uniform bed load in a river is a complicated process and has enormous implications on the sediment flux and anomalous riverbed evolution. To investigate the transport characteristics of the non-uniform bed load and the related particle interactions, a real-time monitoring system of the bed load transport was developed to determine the instant transport rate and grain composition of the bed load. Doppler Velocimetry was used to synchronously measure the fluctuating velocity in high frequency. A total of 211 cases of flume experiments were conducted, focusing on non-uniform sediment with a bimodal pattern. The experimental results indicate that the random fluctuation of the bed load transport amount closely depends on the flow-intensity fluctuation caused by the turbulence burst near the bed. When the value of the flow-fluctuation peak is bigger than 2.5 σ, the coarse sands tend to incipient motion in high probability but are mostly fine sand transport when the peak is less than 1.5 σ. The transport rate of fine particles remains continuous throughout the process, while that of coarse particles is intermittent because the incipient motion mechanism of bed load sands mainly follows three modes. If the difference in diameter between the coarse and fine particles is large, the transport of coarse particles may undergo supernormal transport because of the effect of the fine particles on the coarse particles. The bed load flux of total, fine, and coarse sand present different trends with changes in the bed material composition, in which the transport rate of coarse sands and total bed load sands presents a humped curve in terms of the mixture ratio, and the optimal corresponding mixture ratio ηc is about 3:7. The optimal mixture ratio is not fixed, and it depends on the grain composition and size differential of bed material. With a proper mixture ratio, the transport rate of a non-uniform bed load is higher than the uniform bed load of related size. These findings might provide valuable support for predicting bed load transport and bed evolution in rivers.
Karstic Aquifers—Simple or Hybrid Systems? Thermal Stories from Maaras Cave, Greece
Authors: Skoglund Rannveig Øvrevik , Pennos Christos , Perşoiu Aurel , Sotiriadis Yorgos
Published: January 2023

Karst systems, such as caves, provide a unique opportunity to study the groundwater from the inside in contrast to spring studies, where hydrographs, chemographs, and thermographs show an integrated signal from the entire catchment and aquifer. Studies from karst springs show that recharge and conduit characteristics significantly influence how the temperature signal is transmitted and thus could inform on the structure of underground flow paths. Here, we present monitoring temperature data from a two-year-long study of a 10 km long river cave, Maaras, in northern Greece. Our data from five measuring stations along the cave stream show how different flow paths transform the temperature signal. The catchment area consists of a polje impacting the recharge conditions that change seasonally from diffuse to concentrated. Diffuse recharge stabilizes the temperature regardless of the conduit conditions. However, temperature fluctuations occur on four different time scales: seasonal, event-based, diurnal, and hourly, indicating different passage conditions. Interaction between the cave stream and the in-cave porous aquifer in the clastic sediments strongly impacts the alteration of the thermal signal through the cave: temperature fluctuations are damped, and the temperature is raised.
Digital Spatial Profiling of Glomerular Gene Expression in Pauci-Immune Focal Necrotizing Glomerulonephritis
Authors: Oszwald André , Mejía-Pedroza Raúl A. , Schachner Helga , Aigner Christof , Rees Andrew , Kain Renate
Published: January 2023

Key Points

Pauci-immune focal necrotizing glomerulonephritis (piFNGN) entails heterogeneous glomerular lesions in different stages of evolution.

Spatial profiling of glomeruli in piFNGN identifies protein and mRNA signatures that correlate with morphologically distinct lesions.

Profiling of individual glomeruli provides insights into the pathogenesis of piFNGN and may identify therapeutic targets or biomarkers.

Pauci-immune focal necrotizing glomerulonephritis (piFNGN) involves asynchronous onset and progression of injurious lesions in biopsies. Pathologists can describe this heterogeneity within a biopsy, but translating the information into prognostic or expression analyses is challenging. Understanding the underlying molecular processes could improve treatment; however, bulk or single-cell transcriptomic analyses of dissociated tissue disregard the heterogeneity of glomerular injury.

We characterize protein and mRNA expression of individual glomeruli in 20 biopsies from 18 patients with antineutrophil cytoplasmic antibody-associated piFNGN using the NanoString digital spatial profiling (DSP) platform. For this purpose, circular annotations of glomeruli were analyzed using protein, immuno-oncology RNA, and Cancer Transcriptome Atlas panels (n=120, 72, and 48 glomeruli, respectively). Histologic evaluation of glomerular patterns of injury was performed in adjacent serial sections. Expression data were processed by log2 transformation, quantile normalization, and batch adjustment.

DSP revealed distinct but overlapping gene expression profiles relating to the morphological evolution of injurious lesions, including dynamic expression of various immune checkpoint regulators. Enrichment analysis indicated deregulated pathways that underline known and highlight novel potential mechanisms of disease. Moreover, by capturing individual glomeruli, DSP describes heterogeneity between and within biopsies.

We demonstrate the benefit of spatial profiling for characterization of heterogeneous glomerular injury, indicating novel molecular correlates of glomerular injury in piFNGN.
Metaverso no ramo empresarial: visão de futuro e atualidade – revisão bibliográfica
Authors: Soares Caroline Barbosa da Costa , Machado Cauã Braga de Mello Strunkis , Salles Juliana Santos , Rocha Karoline Arouca , Gomes Richard Gabriel Pereira , Fontes Renata Aparecida
Published: January 2023

Analisando de forma sucinta e realista, é possível chegar à conclusão de que atualmente os modelos tecnológicos estão tomando forma e espaço nas indústrias e empresas, principalmente devido a maior pandemia na qual a humanidade enfrentou. Devido a essa pandemia os meios de trabalho remoto se ampliaram, e de forma mais tecnológica, sendo assim iniciou-se a implantação de algo que já vinha sendo estudado, o Metaverso (TOLEDO et al., 2022). É justamente nesse cenário de incertezas que a humanidade desafia uma nova fronteira do conhecimento: o advento do Metaverso. Novas tecnologias têm possibilitado a imersão, expansão da aceitação e utilização de mundos virtuais, mais comumente conhecidos como Metaverso. Assim, Metaverso seria “uma rede em grande escala e interoperável de mundos virtuais 3D renderizados em tempo real que podem ser experimentados de forma síncrona e persistente por um número efetivamente ilimitado de usuários” (TIBÚRCIO et al., 2022). A humanidade, desde sempre, constituiu-se de “mundos paralelos”, ou seja, mundos que se formam e se diferenciam pelo desenvolvimento de uma determinada forma de viver e de conviver, no fluir recursivo das ações dos seres vivos, com regras específicas, própria à natureza daquele mundo, construindo uma cultura (SCHLEMMER et al., 2008). É importante ressaltar que esses mundos não são pensados em termos de substituição, mas de coexistência no universo das relações e vivência humana (SCHLEMMER et al., 2008). Sendo assim, o uso das tecnologias imersivas e da web espacial está revolucionando a maneira como as pessoas trabalham levando as empresas para um e reconhecimento maior (BACKES et al., 2022). Assim, objetiva-se com este trabalho realizar uma breve revisão bibliográfica sobre o metaverso no ramo empresarial. Trabalhos como este são vantajosos para demonstrar as aplicações do metaverso para as empresas, pois o ambiente virtual recursos para que o indivíduo se depare com um contexto próximo à realidade, podendo desenvolver suas competências e ações.
Network Analysis of Effect of Light-Dark Time Ratio on the Gene Expression Profile of Mouse Skin
Authors: Arjmand Babak , Hamzeloo-Moghadam Maryam , Razzaghi Zahra , Rostami Nejad Mohammad , Zamanian Azodi Mona , Khodadoost Mahmood , Rezaei Tavirani Mostafa , Rezaei Tavirani Majid , Ahmadzadeh Alireza
Published: January 2023

Introduction: Circadian rhythms refer to daily cyclic events such as activity and rest in biology. A protein-based core related to the mechanism of circadian is identified. In the present study, the gene expression profiles of mouse skin in different conditions of light-dark times were investigated via protein-protein interaction (PPI) analysis to explore the main affected genes. Methods: GSE174155 was derived from Gene Expression Omnibus (GEO) and was analyzed via GEO2R to find the significant differentially expressed genes (DEGs). The gene expression profiles of Cry-null (genotype: cryptochrome-1(-/-): crytochrome-2 (-/-)) mouse skin versus the wild-type samples in the various circadian times (CTs) were assessed. The queried DEGs plus 50 first neighbors were included in a PPI network via the STRING database by Cytoscape software. The networks were analyzed and the central nodes were evaluated. Results: Three groups of mice based on CTs were identified. 15, 15, and 14 central nodes were determined as central nodes for the analyze networks. There was not a common central node for the analyzed networks. Conclusion: It was pointed out that the light/dark time ratio had a gross effect on the gene expression profile of the skin in the mice. Results imply more investigations to suggest a standard protocol related to CT, considering human lifestyle and exploring suitable protective methods for the jobs which are fixed in the abnormal CT sets.
Effective Combination Therapy with Human Amniotic Membrane Mesenchymal Stem Cells and Low-Level Laser Therapy in Wound Healing in Animal Models
Authors: Abbasnezhad Fatemeh , Zare Sona , Razzaghi Mohammadreza , Karjou Reza , Karjou Zahra , Alavi Rad Ehsan , Zadehmodarres Shahrzad
Published: January 2023

Introduction: Many studies have recognized the importance of new methods in wound healing. This study aims to investigate the healing effects of allograft extra embryonic mesenchymal stem cells (MSCs) with and without low-level diode laser irradiation when grafted into full-thickness skin defects in diabetic animal models. Methods: In this experimental study, in order to make the rats diabetic, we used an intra-peritoneal injection of streptozotocin. Human amniotic membrane derived mesenchymal stem cells (hAMSCs) were irradiated with a low-level diode laser. Two full-thickness excisions were made on the backs of the rats. Next, the rats were divided into the following groups: group 1: low-level laser (LLL) irradiated hAMSCs and group 2: hAMSCs alone transplanted into skin wound. Histopathologic, ultrasound and elasticity evaluations were performed 7, 14 and 21 days after grafting. Results: In the evaluated rats, epithelial formation was on day 7 and increased until day 14. On days 7, 14 and 21, the percentage of epithelial formation in the irradiated cell group was significantly higher than that in the cell group, so that, on day 21, the epithelium in this group completely covered the wound surface while in the control group the wound surface was still not completely covered. In terms of angiogenesis, on day 7, the irradiated cells were significantly lower than the cells. Also, the formation of collagen in the cellular hydrogel group could confirm the effectiveness of amniotic MSCs in collagen production and thus accelerate the wound healing process. In comparison with hAMSCs alone, irradiated hAMSCs increased the thickness and elasticity of the skin. Conclusion: Low-power laser along with MSCs can be effective in improving chronic wound condition in the animal model.
Investigating the Crowding Out Effect of Foreign Direct Investment in South Asian Economies
Authors: Naqvi Syed Kamran Abbas , Noman Nargis
Published: January 2023

Foreign Investment (FDI) in developing economies affects the supply of capital affecting local investment. This international practice can either be analyzed through substitution effect (crowding-out) or complementary effect (crowding-in). The former discourages local investors due to competitive pressure while the latter impacts the demand of domestic suppliers. This study intends to explore whether FDI crowds out domestic investment or not. The study analyzed the FDI-led capital formation hypothesis considering the panel data of South Asian economies for the time span of 1991- 2021. The study has utilized the fixed effect, FMOLS and DOLS techniques to analyze the data using FDI inflows. The empirical evidence of the study affirms the crowding in effect for the selected South Asian economies, The study suggests that internationalization, financial inclusion and |macroeconomic stability are potential channels to foster domestic capital in South incl countries.
Toxicological Evaluation of the Skin-Irritant Effect and Sensitizing Effect of a Dry Cosmetic Therapeutic Mask
Authors: Нуруллаева Д.Х. , Фарманова Н.Т. , Тухтаев Х.Р. , Султанова Р.Х.
Published: January 2023

В статье приведены данные по изучению кожно-раздражающего действия и сенсибилизирующего эффекта разработанной сухой маски, в состав которой входят сухие экстракты овса посевного, ромашки аптечной, календулы лекарственной и шалфея лекарственного. Проведенные испытания показали, что образец косметического средства не обладает резорбтивным, сенсибилизирующим эффектами и не оказывает кожно-раздражающего действия.

The article presents data on the study of the skin-irritating effect and the sensitizing effect of the developed dry mask composition that contains dry extracts of the fruits of oats, chamomile; calendula officinalis and sage officinalis. The tests carried out showed that the sample of the cosmetic product does not have resorptive, sensitizing effects and does not have a skin-irritating effect.
INTELLIGENT DEVICE FOR AUTOMATIC TURNING MODE ASSIGNMENTS
Authors:   Volgograd State Technical University, Rogachev A. V. , Frolov E. M. ,   Volgograd State Technical University, Tikhonova Zh. S. ,   Volgograd State Technical University
Published: January 2023

The hardware and software parts of the intelligent device for automatic assignment of turning modes are described.
APPLICATION OF GRADIENT BOOSTING TO OPTIMIZE THE METEOROLOGICAL FORECASTING MODEL FOR THE LONG-TERM PERIOD
Authors:   Volgograd State Technical University, Knyazev D. S. , Porkhun A. P. ,   Volgograd State Technical University, Shvedov E. G. ,   Volgograd State Technical University, Barabanov V. G. ,   Volgograd State Technical University
Published: January 2023

A regression model predicting the weather for a long-term period is considered. A method for optimizing the model is proposed. The method of training the model based on the gradient boosting algorithm is described. Its prediction accuracy is evaluated and compared with the previous version of the model.
SELECTION OF AN AUTOMATIC CONTROL SYSTEM FOR THE MODERNIZATION OF THE GAS-PUMPING UNIT GTC-10-4
Authors:   Volgograd State Technical University, Redko A. D. , Redko M. D. ,   Volgograd State Technical University, Shostenko S. V. ,   Volgograd State Technical University
Published: January 2023

The article provides an analysis of existing domestic automatic control systems of the gas-pumping unit GTC-10-4 in order to choose the optimal technical solution for the modernization or reconstruction of the ACS GPU at the facilities of the Public Joint Stock Company «Gazprom».
Cross Border Trade: Strategy and Policy (Evidence from Cross-Border Trade in the Republic of Indonesia and the Republic Democratic of Timor Leste)
Authors: Y. Amtiran Paulina , U.T. Anabuni Anderias , S. Neno Marianus
Published: January 2023

Objective – This study aims to identify the appropriate strategy that can increase cross-border trade activities and policies that can be applied to reduce the negative impacts caused by parties who take advantage of cross-border trade.
Methodology – The data were collected from interviews with informants and FGD. The data analysis technique is a qualitative and quantitative analysis developed within the study using EFAS, IFAS, and SWOT analysis.
Findings – The study found that Indonesia and the Republic Democratic of Timor Leste (RDTL) border area have the potential and opportunity to be developed. The same cultural background causes cross-border trade interactions to occur between the two countries.
Novelty – Belu Regency, as an area bordering the RDTL, has natural and economic potentials that can be developed as a center for small industrial development and a border area for cross-border trade.
Type of Paper: Empirical
JEL Classification: F21, F36, G15.
Keywords: Cross-border; Economy; Policy; Strategy; Trade

Reference to this paper should be made as follows: Amtiran, P.Y; Anabuni, A.U.T; Neno, M.S. (2022). Cross Border Trade: Strategy and Policy (Evidence from Cross-Border Trade in the Republic of Indonesia and the Republic Democratic of Timor Leste), J. Bus. Econ. Review, 7(3), 169–177. https://doi.org/10.35609/jber.2022.7.3(2)
Analysing the rising oil price shock driven by Russia-Ukrainian tensions - effect on inflationary pressure in South Africa
Authors: Roan Neethling Jan , Stiglingh-Van Wyk Abigail
Published: January 2023

Objective – The aim of this paper is to examine the relationship between the CPI, the brent crude oil price, and the PPI for final manufactured goods as well as the Rand/Dollar exchange rate during the past year. The study used South Africa as a proxy for developed countries. The objective is, therefore, to evaluate the effects of the increase in commodity prices on inflation and other macroeconomic variables.
Methodology –The study utilised a quantitative methodological approach through the assessment of an econometric model that employed monthly data from January 2017 to May 2022. The paper utilized variables such as CPI, brent crude oil prices, PPI for final manufactured goods as well as the Rand/Dollar exchange rate.
Findings – Short- and long-run relationships were established between the variables using the vector error correction model (VECM) and the Johansen co-integration equation methods. The long-run conclusions showed that high brent crude oil prices, high sunflower oil, a depreciating exchange rate and increasingly high PPI levels will lead to an increase in the CPI (Inflation). The results also indicated that oil prices still influence the basic prices of goods and services since all things need to be transported.
Novelty – The results of the study showed that a perpetual international and national macro-economic environment is crucial to prevent inflationary pressures and price shocks, while volatile exchange rates unsteady PPI’s and significantly high oil and commodity prices causes cost-push inflation. Policy certainty and political stability is important to keep inflation stable and economic growth positive, which could lead to a more self-sufficient economy which are is reliant on political instability as an obstacle for positive future economic growth.
Type of Paper: Empirical
JEL Classification: E31, E37, E60, E63
Keywords: Russian-Ukrainian conflict, economic growth, Brent crude oil prices, PPI, CPI, exchange rates, sunflower oil.
Reference to this paper should be made as follows: Neethling, J.R; Wyk, A.S.V. (2022). Analysing the rising oil price shock driven by Russia-Ukrainian tensions - effect on inflationary pressure in South Africa, J. Bus. Econ. Review, 7(3), 178–193. https://doi.org/10.35609/jber.2022.7.3(3)
AUTOMATIC SYSTEM AND METHOD FOR IMPROVING AERIAL SPRAY DROPLET PENETRATION
Authors: TIAN Zhiwei , XUE Xinyu , DUAN Famin , YAO Sen , MA Wei
Published: January 2023

When UAVs apply a pesticide at different speeds, droplet deposition area and canopy vortex area are not at the same location, which prevents droplets from depositing on the backside of leaves and lower part of plants in canopy vortex, and affects spray quality and pests and diseases control effect. To shorten the distance between the two areas and improve droplet penetration, a method for adjusting nozzle inclination angle based on droplet force analysis and tests was proposed in this paper. According to the obtained model, an automatic nozzle angle adjustment system was developed from hardware and software. The experimental results showed that the number of droplets deposited on the entire leaf increased by 21.58% when UAV spraying with the system mounted. The average number of droplets on the front side of the leaf increased by 14.44% while 66.05% was on the backside of the leaf with the system mounted. This indicates that the method and system proposed have a significant impact on improving the UAV spray penetration.
Features of the EU program “Horizon Europe”
Authors:   Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Usar Iryna
Published: January 2023

Theses examine one of the concepts of the EU program “Horizon Europe” open science. The main features of this program and its influence on the integration of Ukrainian scientists into the European research space are described. The components of open science and its influence on scientific progress are highlighted.
α-CONTINUOUS FUNCTIONS AND COUNTABLY Α-COMPACT SETS IN IDEAL TOPOLOGICAL SPACES
Authors: Almuhur Eman , Asfour Mona Bin
Published: January 2023

In this research work, we introduce the concept of countably α-compact spaces in an ideal topological space (X,τ,I) and study further properties of α-continuous functions. We prove that α-continuous function mapping a countably α-compact ideal topological space (X,τ,I) to the ideal space (Y,σ,J) is an α-closed subset of the Cartesian product (X×Y,τ×σ,I×J). We showed that the countably α-compact ideal space (X,τ,I) with weight ∣X∣≥ ℵ₀ is the α-continuous image of a closed subspace of the cube D^({ℵ₀}) and illustrate that the α-continuous function f:(X,τ,I)→(Y,σ,J) where Y is countably α-compact can be extended over its domain under some constraints. Moreover, α-pseudocompact is defined in an ideal topological space (X,τ,I) and we proved that countably α-pseudocompactness is not hereditary with respect to α-closed sets and we showed that countab α-pseudocompactness is not finitely multiplicative. We find that if the ideal topological space (X,τ,I) is Tychonoff, (Y,σ,J) is countably α-pseudocompact, and f:(X,τ,I)→(Y,σ,J) is α-continuous perfect function modulo (I,J), X is countably α-psuedocompact.