bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Nexus of Eco-Innovation and Sustainable Development: A Bibliometric Review and Analysis
Authors: Fatma Nosheen , Haleem Abid
Published: August 2023

Eco-innovation promotes sustainable economic growth while mitigating environmental impacts. It has evolved into an essential tool for firms seeking to align with the 2030 Sustainable Development Goals. A total of 723 articles from Web of Science and Scopus databases were analyzed in the timespan of 2001–2022 to unveil the contributions and interconnections among eco-innovation, sustainable development, and the SDGs. This study aims to conduct a comprehensive performance analysis and science mapping using Bibliometrix R-package and VosViewer, respectively. The analysis highlights the influential authors, journals, countries, and thematic trends of research articles. The trend analysis shows that carbon emission limitation, targeting SDGs in isolation, and environmental economics are gradually becoming mainstream. Eco-innovation’s transformative potential spans economic, social, and environmental dimensions of sustainable development, though its studies have primarily focused on its environmental implications. This can offer new research directions to researchers and will be beneficial for framework development.
Using a Machine Learning Approach to Classify the Degree of Forest Management
Authors: Floren Andreas , Müller Tobias
Published: August 2023

A prerequisite for sustainable forest management is knowing the total diversity and how management affects forests. Both are poorly studied and relate to canopy diversity and comparison with primary forests. From 2001–2004, we fogged beetles from oaks in primary and disturbed, managed sites in Białowieża (Eastern Poland) and also in distant age-class forests. Using a machine learning (ML) method (elastic net), we identified a beetle signature based on the species abundance distribution to distinguish these forest types. The beetle communities from 2001 served as training data, with 21 signature species correctly assigning the oaks to primary and different managed forests. However, the predictive quality of the signature decreased with each year due to high spatio-temporal heterogeneity and beta diversity. To improve the power of the signature, we combined the data from all years to calculate a more general model. Due to its greater complexity, this model identified 60 species that correctly classified both the studied forests and foreign forests in Central Europe, increasing the possibility of a general classification. Further research is needed to determine whether it is possible to establish a general signature-based index on a large number of samples from different years and forest types.
Self-Regulated and Mobile-Mediated Learning in Blended Tertiary Education Environments: Student Insights from a Pilot Study
Authors: Nikolopoulou Kleopatra
Published: August 2023

Despite the rapid rise in the number of blended education studies after the COVID-19 pandemic, the topics of self-regulated and mobile-mediated learning in blended tertiary education environments is an open research issue. The purpose of this pilot study is to identify tertiary education students’ perceived enablers/facilitators and barriers to self-regulated and mobile-mediated learning in blended education environments. Nineteen undergraduate and postgraduate students were interviewed in Greece, and data were analyzed through descriptive analysis. According to the findings, most participants believed that blended learning helps their autonomy and self-regulated learning when they are facilitated by ownership of, ease of use, and familiarity with mobile devices. Major enablers/facilitators, but also barriers to, self-regulated and mobile-mediated learning in blended contexts are the course structure (mainly, the online component of blended education, appropriateness of learning activities, and educational material), and individual (educators’ knowledge, skills, confidence, and attitudes, and students’ knowledge, skills, and concerns) and technological (infrastructure and internet connectivity) factors. Students’ expectations concerning blended education courses are associated with the course organization (e.g., provision of alternative learning possibilities, balance between face-to-face and digital/online learning activities, and access to various teaching material/tools) and the role of students and teachers. Implications for students, educators and university policy and practice are discussed.
Sensitivity Analysis of Factors Influencing the Blast Resistance of Reinforced Concrete Columns Based on Grey Relation Degree
Authors: Wu Yangyong , Xie Quanmin , Mu Chaomin
Published: August 2023

Reinforced concrete (RC) column is an important load-bearing component in building structures. In order to study the blast resistance of RC columns, the numerical simulation model was verified based on the field test data, and the ANSYS/LS-DYNA 2020R2 software was used to expand the working conditions. The sensitivity analysis method of grey relation degree was used to study the effects of factors, such as the diameter of longitudinal reinforcement, number of longitudinal reinforcement, the diameter of the stirrup, stirrup spacing, strength of concrete, scale distance, and strength of reinforcement on the blast resistance of RC columns. The results show that changing the number of longitudinal reinforcements to control the reinforcement ratio can make the peak displacement of RC columns smaller rather than changing the diameter of longitudinal reinforcement. Changing the stirrup spacing to control the stirrup ratio can make the RC column have better blast resistance rather than changing the diameter of the stirrup. The strength of reinforcements and concrete materials has little effect on the mid-span peak displacement of RC columns. The grey relation degree of the influencing factors of the mid-span peak displacement of the RC column is in the order of stirrup spacing, the diameter of the stirrup, scale distance, the diameter of longitudinal reinforcement, the number of longitudinal reinforcement, and the strength of concrete. The relation between stirrup spacing and the diameter of the stirrup is larger, and the grey relation degree is 0.6914 and 0.6660, respectively. This study can provide a reference for the design and construction of RC column structures.
Social and Financial Sustainability of Real Estate Investment: Evaluating Public Perceptions towards Blockchain Technology
Authors: Baptista Nuno , Januario Joao Fragoso , Cruz Carlos Oliveira
Published: August 2023

Real estate markets play a crucial role in the economy, providing opportunities for investment and housing. However, there are several challenges in both direct and indirect investment mechanisms affecting its social and financial sustainability. These challenges include high costs, lengthy processes, limited transparency, and restricted investor control. Additionally, the dominance of large investors in the market intensifies these issues, creating barriers to smaller investors. This raises concerns around social inequality and sustainability among small investors, that represent, in number, the largest share of investors. Blockchain technology has emerged as a possible solution to address these issues in the real estate sector, with the potential to improve its long term social and financial sustainability. Features such as smart contracts and tokenization can enhance efficiency, transparency, security, and accessibility in property transactions. In the case of smart contracts, these enable self-executing and automated agreements, and tokenization allows for fractional ownership and increased liquidity. To assess the knowledge and perceptions of professionals in the real estate sector and evaluate the possible impact of the technology in the market, a survey-based methodology was followed. It targeted individuals actively involved in the industry, including professionals from real estate investment companies and real estate agencies. The data revealed that most professionals in the Portuguese real estate market have little to no knowledge about blockchain technology. Yet, those who possess knowledge recognize the potential benefits it can bring to the industry. This lack of awareness can be attributed to the relatively recent emergence of blockchain and its limited discussion within the real estate sector.
Harvested Predator–Prey Models Considering Marine Reserve Areas: Systematic Literature Review
Authors: Hasibuan Arjun , Supriatna Asep Kuswandi , Rusyaman Endang , Biswas Md. Haider Ali
Published: August 2023

The United Nations has predicted the growth of the human population to reach 8.405 billion by mid-2023, which is a 70% increase in global food demand. This growth will significantly affect global food security, mainly marine resources. Most marine resources exist within complex biological food webs, including predator–prey interactions. These interactions have been researched for decades by mathematicians, who have spent their efforts developing realistic and applicable models. Therefore, this paper systematically reviews articles related to predator–prey models considering the harvesting of resources in marine protected areas. The review identifies future remodeling problems using several mathematical tools. It also proposes the use of feedback linearization consisting of both the approximation and exact methods as an alternative to Jacobian linearization. The results show that in an optimal control analysis, adding a constraint in the form of population density greater than or equal to the positive threshold value should be considered to ensure an ecologically sustainable policy. This research and future developments in this area can significantly contribute to achieving the Sustainable Development Goals (SDGs) set for 2030.
Effects of Science, Technology, and Innovation Official Development Assistance on Foreign Direct Investment in Developing Countries
Authors: Lee Jeunghan , Cho Keuntae
Published: August 2023

This study investigated the effects of Science, Technology, and Innovation Official Development Assistance (STI ODA) on Foreign Direct Investment (FDI) in developing countries. The study sought to empirically analyze whether STI ODA has contributed to attracting FDI in recipient countries and whether specific sub-variables, such as absorptive capacity, human capital, infrastructure, and scientific and technical journal articles have a moderating effect. The analysis method was a panel analysis model that combined cross-sectional and time-series data as fixed-effect and random-effect models to reflect individual effects in the empirical analysis. This study highlights the importance of STI ODA in achieving sustainable development goals and fostering economic growth.
Optimization of Shared Autonomous Vehicles Routing Problem: From the View of Parking
Authors: Feng Chi , Mei Zhenyu
Published: August 2023

Shared autonomous vehicles (SAVs) have great potential for achieving beneficial changes to the society. Although recent studies have explored the traffic safety, economic benefits and environmental impact, parking decisions of SAVs is rarely considered. SAVs need to park to avoid cruising during the interval between services. Appropriate parking decisions can contribute to reduce the vehicle kilometers traveled (VKT). This study synergistically considers routing and parking of SAVs for system optimization. Since the problem is NP-hard, we develop a variable neighborhood search (VNS) heuristic to solve it. The heuristic aims to minimize the VKT, the number of SAVs and the parking cost by systematic changes of neighborhood. A series of experiments based on the Anaheim network prove the high solving efficiency and quality of the heuristic. Results also indicate that the marginal cost of the system decreases with the increase in travel demand and the VKT increases with the increase in parking fees.
Discovery of New Exact Wave Solutions to the M-Fractional Complex Three Coupled Maccari’s System by Sardar Sub-Equation Scheme
Authors: Alsharidi Abdulaziz Khalid , Bekir Ahmet
Published: August 2023

In this paper, we succeed at discovering the new exact wave solutions to the truncated M-fractional complex three coupled Maccari’s system by utilizing the Sardar sub-equation scheme. The obtained solutions are in the form of trigonometric and hyperbolic forms. These solutions have many applications in nonlinear optics, fiber optics, deep water-waves, plasma physics, mathematical physics, fluid mechanics, hydrodynamics and engineering, where the propagation of nonlinear waves is important. Achieved solutions are verified with the use of Mathematica software. Some of the achieved solutions are also described graphically by 2-dimensional, 3-dimensional and contour plots with the help of Maple software. The gained solutions are helpful for the further development of a concerned model. Finally, this technique is simple, fruitful and reliable to handle nonlinear fractional partial differential equations (NLFPDEs).
A Decision-Making Method for Design Schemes Based on Intuitionistic Fuzzy Sets and Prospect Theory
Authors: Hao Juan , Gao Xinqin , Yang Xueqi , Liu Yong , Han Zhoupeng
Published: August 2023

Conceptual design is a key link in the process of complex product design, and it is very important to select the appropriate design scheme; however, there are many types and inaccuracies of the evaluation data, and there is a problem of mutual influence between the evaluation criteria, which leads to unreliable decision making of the optimal solution. In order to solve this problem, a decision-making method based on intuitionistic fuzzy sets (IFS) and prospect theory is proposed. This method can be used for symmetric and asymmetric evaluation data. The evaluation data are classified according to different expression types and unified using intuitionistic fuzzy numbers. The intuitionistic fuzzy prospect value of decision information is calculated using prospect theory, and the prospect transformation of decision information is completed. At the same time, the Gray Relational Analysis (GRA) method and the Criteria Importance Though Intercriteria Correlation (CRITIC) method are used to calculate the subjective and objective weights of the technical and economic evaluation indexes of the product, and the combination weights are given; then, based on the evidence theory, the basic probability distribution of the evidence chain of all conceptual design schemes is synthesized, and the comprehensive prospect evaluation results of the schemes are obtained to complete the optimization of the conceptual design schemes. Finally, the effectiveness of the proposed method is verified by the conceptual design of the chip removal system of the deep hole machining machine tool. This work provides a promising method for decision makers to optimize the design scheme and provides insights into multi-objective decision-making problems.
The Impact of the Resource-Exhausted City Program on Manufacturing Enterprises’ Performance: A Policy Measures Perspective
Authors: Gao Da , Zhou Xiaotian , Yan Zhiliang , Mo Xinlin
Published: August 2023

The transformation of resource-based cities has a crucial impact on the development of local manufacturing enterprises. This study aims to assess the impact of the Resource-Exhausted City Program (RECP) on the performance of manufacturing enterprises, with a particular focus on the role of policy measures. Using data on manufacturing enterprises from 2004 to 2014, this study employs multiple difference-in-difference methods to investigate the impact of the RECP on corporate performance and its potential mechanisms. The results show that (1) the RECP can significantly improve the performance of firms in the pilot areas; (2) the implementation of RECP contributes to the improvement of manufacturing enterprises’ performance by using policy measures, mainly including subsidies, tax incentives and access to low-interest loans; and (3) the supportive effects of the RECP are more pronounced in outward-oriented, state-owned and larger manufacturing enterprises. This study provides new insights into the relationship between resource-exhausted city policies and corporate performance.
How Does Digital Transformation Impact Green Supply Chain Development? An Empirical Analysis Based on the TOE Theoretical Framework
Authors: Li Weimin , Xiao Xiaoyu , Yang Xinyue , Li Li
Published: August 2023

Digital transformation and sustainability are both at the forefront of current supply chain developments. However, the specific mechanisms of how digital transformation and green supply chain development interact still need to be clarified, which can help supply chain business operators to enhance supply chain sustainability more effectively. This paper focuses on how the companies’ organization structure and the socio-economic environment interact with digital technologies under the process of green supply chain development. Based on the “Technology–Organization–Environment” (TOE) framework, this paper analyze how digital transformation can drive green supply chain development. To test the TOE theoretical analysis framework, this paper calculates the digital transformation and green supply chain development index at the provincial level in China and conducts an empirical study. The main findings and implications of this paper can be summarized in the following aspects: First, according to the TOE theory, the external environment dimensions, such as the market and policy environments, affect the role of digital technology in promoting GSC development. Second, in the organizational dimensions, labor–capital relations, company size, and ownership factors can all affect the contribution of digital transformation to green supply chains. Third, there are differences in the impact of different types of digitization technologies on GSC development.
Characterization of the Viscoelastic Properties of Yarn Materials: Dynamic Mechanical Analysis in Longitudinal Direction
Authors: Kopelmann Karl , Bruns Mathis , Nocke Andreas , Beitelschmidt Michael , Cherif Chokri
Published: August 2023

Warp knitting is a highly productive textile manufacturing process and method of choice for many products. With the current generation of machines running up to 4400 min−1, dynamics become a limit for the production. Resonance effects of yarn-guiding elements and oscillations of the yarn lead to load peaks, resulting in breakage or mismatches. This limits material choice to highly elastic materials for high speeds, which compensate for these effects through their intrinsic properties. To allow the processing of high-performance fibers, a better understanding of the viscoelastic yarn behavior is necessary. The present paper shows a method to achieve this in longitudinal yarn direction using a dynamic mechanical analysis approach. Samples of high tenacity polyester and aramid are investigated. The test setup resembles the warp knitting process in terms of similar geometrical conditions, pre-loads, and occurring frequencies. By recording the mechanical load resulting from an applied strain, it is possible to calculate the phase shift and the dissipation factor, which is a key indicator for the damping behavior. It shows that the dissipation factor rises with rising frequency. The results allow for a simulation of the warp knitting process, including a detailed yarn model and representation of stitch-formation process.
Recent Developments in Semiconductor-Based Photocatalytic Degradation of Antiviral Drug Pollutants
Authors: Zhang Zhaocheng , He Dongyang , Zhao Siyu , Qu Jiao
Published: August 2023

The prevalence of antiviral drugs (ATVs) has seen a substantial increase in response to the COVID-19 pandemic, leading to heightened concentrations of these pharmaceuticals in wastewater systems. The hydrophilic nature of ATVs has been identified as a significant factor contributing to the low degradation efficiency observed in wastewater treatment plants. This characteristic often necessitates the implementation of additional treatment steps to achieve the complete degradation of ATVs. Semiconductor-based photocatalysis has garnered considerable attention due to its promising potential in achieving efficient degradation rates and subsequent mineralization of pollutants, leveraging the inexhaustible energy of sunlight. However, in recent years, there have been few comprehensive reports that have thoroughly summarized and analyzed the application of photocatalysis for the removal of ATVs. This review commences by summarizing the types and occurrence of ATVs. Furthermore, it places a significant emphasis on delivering a comprehensive summary and analysis of the characteristics pertaining to the photocatalytic elimination of ATVs, utilizing semiconductor photocatalysts such as metal oxides, doped metal oxides, and heterojunctions. Ultimately, the review sheds light on the identified research gaps and key concerns, offering invaluable insights to steer future investigations in this field.
Saxitoxin-Producing Raphidiopsis raciborskii (Cyanobacteria) Constrains Daphnia Fitness and Feeding Rate despite High Nutritious Food Availability
Authors: dos Reis Gabriele Costa , de Carvalho Gustavo Henrique A. , Vilar Mauro Cesar Palmeira , Azevedo Sandra Maria Feliciano de Oliveira e , Ferrão-Filho Aloysio da Silva
Published: August 2023

Changes in food quality can dramatically impair zooplankton fitness, especially in eutrophic water bodies where cyanobacteria are usually predominant. Cyanobacteria are considered a food with low nutritional value, and some species can produce bioactive secondary metabolites reported as toxic to zooplankton. Considering that cyanobacteria can limit the survival, growth and reproduction of zooplankton, we hypothesized that the dietary exposure of neotropical Daphnia species (D. laevis and D. gessneri) to saxitoxin-producing cyanobacteria impairs Daphnia feeding rates and fitness regardless of a high availability of nutritious algae. Life table and grazing assays were conducted with different diets: (1) without nutritional restriction, where neonates were fed with diets at a constant green algae biomass (as a nutritious food source), and an increasing cyanobacterial concentration (toxic and poor food source), and (2) with diets consisting of different proportions of green algae (nutritious) and cyanobacteria (poor food) at a total biomass 1.0 mg C L−1. In general, the presence of high proportions of cyanobacteria promoted a decrease in Daphnia somatic growth, reproduction and the intrinsic rate of population increase (r) in both diets with more pronounced effects in the nutritionally restricted diet (90% R. raciborskii). A two-way ANOVA revealed the significant effects of species/clone and treatments in both assays, with significant interaction between those factors only in the second assay. Regarding the grazing assay, only D. laevis was negatively affected by increased cyanobacterial proportions in the diet. In the life table assay with constant nutritious food, a reduction in the reproduction and the intrinsic rate of the population increase (r) of all species were observed. In conclusion, we found adverse effects of the toxic cyanobacterial strain R. raciborskii on Daphnia fitness, regardless of the constant amount of nutritious food available, proving the toxic effect of R. raciborskii and that the nutritional quality of the food has a greater influence on the fitness of these animals.
Neurotoxicity and Oxidative Stress Development in Adult Atya lanipes Shrimp Exposed to Titanium Dioxide Nanoparticles
Authors: Cruz-Rosa Stefani , Pérez-Reyes Omar
Published: August 2023

Titanium dioxide is a type of nanoparticle that is composed of one titanium atom and two oxygen atoms. One of its physicochemical activities is photolysis, which produces different reactive oxygen species (ROS). Atya lanipes shrimp affect detrital processing and illustrate the potential importance of diversity and nutrient availability to the rest of the food web. It is essential in removing sediments, which have an important role in preventing eutrophication. This study aimed to determine the toxic effect of changes in behavior and levels of oxidative stress due to exposure to titanium dioxide nanoparticles in Atya lanipes and to determine the effective concentration (EC50) for behavioral variables. The concentrations of TiO2 NPs tested were 0.0, 0.50, 1.0, 2.0, and 3.0 mg/L with the positive controls given 100 µg/L of titanium and 3.0 mg/L of TiO2 NPs ± 100 µg/L of titanium. After 24 h of exposure, significant hypoactivity was documented. The EC50 was determined to be a concentration of 0.14 mg/L. After the exposure to 10 mg/L of TiO2 NPs, oxidative stress in gastrointestinal and nervous tissues was documented. The toxic effects of this emerging aquatic pollutant in acute exposure conditions were characterized by sublethal effects such as behavior changes and oxidative stress.
Occurrence, Sources, and Health Risks of Polycyclic Aromatic Hydrocarbons in Road Environments from Harbin, a Megacity of China
Authors: Li Jin-Nong , Zhang Ye , Wang Jian-Xin , Xiao Hang , Nikolaev Anatoly , Li Yi-Fan , Zhang Zi-Feng , Tang Zhong-Hua
Published: August 2023

To obtain a comprehensive understanding about that occurrence, sources, and effects on human health of polycyclic aromatic hydrocarbons (PAHs) in road environmental samples from Harbin, concentrations of 32 PAHs in road dust, green belt soil, and parking lot dust samples were quantified. The total PAH concentrations ranged from 0.95 to 40.7 μg/g and 0.39 to 43.9 μg/g in road dust and green belt soil, respectively, and were dominated by high molecular weight PAHs (HMW-PAHs). Despite the content of PAHs in arterial roads being higher, the composition profile of PAHs was hardly influenced by road types. For parking lot dust, the range of total PAH concentrations was 0.81–190 μg/g, and three-ring to five-ring PAHs produced the maximum contribution. Compared with surface parking lots (mean: 6.12 μg/g), higher total PAH concentrations were detected in underground parking lots (mean: 33.1 μg/g). The diagnostic ratios of PAHs showed that petroleum, petroleum combustion, and biomass/coal combustion were major sources of PAHs in the samples. Furthermore, according to the Incremental Lifetime Cancer Risk model, the cancer risks of three kinds of samples for adults and children were above the threshold (10−6). Overall, this study demonstrated that PAHs in the road environment of Harbin have a certain health impact on local citizens.
Resurgence of Dengue Virus Serotype 4 in Malaysia: A Comprehensive Clinicodemographic and Genomic Analysis
Authors: Suppiah Jeyanthi , Ali Ernie Zuraida , Mohd Khalid Mohd Khairul Nizam , Mohd Ghazali Sumarni , Tee Kok Keng , Zulkifli Murni Maya Sari , Ramli Nuraisyah , Adiee Amir Hussin , Ramly Muhamad Nurrani , Robert Fionie , Lakha Singh Sarbhan Singh , Mohd Zain Rozainanee , Thayan Ravindran
Published: August 2023

Dengue virus serotype 4 (DENV-4) has been the rarest circulating serotype in Malaysia, resulting in it being an understudied area. A recent observation from institutional surveillance data indicated a rapid increase in DENV-4-infected cases. The present study aimed to investigate the resurgence of DENV-4 in relation to the demographic, clinical and genomic profiles of 75 retrospective dengue samples. First, the demographic and clinical profiles obtained between 2017 and July 2022 were statistically assessed. Samples with good quality were subjected to full genome sequencing on the Illumina Next Seq 500 platform and the genome data were analysed for the presence of mutations. The effect of the mutations of interest was studied via an in silico computational approach using SWISS-MODEL and AlphaFold2 programs. The predominance of DENV-4 was discovered from 2021 to 2022, with a prevalence of 64.3% (n = 9/14) and 89.2% (n = 33/37), respectively. Two clades with a genetic divergence of 2.8% were observed within the dominant genotype IIa. The majority of DENV-4-infected patients presented with gastrointestinal symptoms, such as vomiting (46.7%), persistent diarrhoea (30.7%) and abdominal pain (13.3%). Two mutations, His50Tyr and Pro144Ser, located at the wing domain of the NS1 protein were discovered to be unique to the recently sequenced DENV-4.
Advancing Immunotherapies for HPV-Related Cancers: Exploring Novel Vaccine Strategies and the Influence of Tumor Microenvironment
Authors: Silva Anna Jéssica Duarte , Moura Ingrid Andrêssa de , Gama Marco Antonio Turiah Machado da , Leal Lígia Rosa Sales , Pinho Samara Sousa de , Espinoza Benigno Cristofer Flores , Santos Daffany Luana dos , Santos Vanessa Emanuelle Pereira , Sena Matheus Gardini Amancio Marques De , Invenção Maria Da Conceição Viana , Macêdo Larissa Silva de , França Neto Pedro Luiz de , Freitas Antonio Carlos de
Published: August 2023

The understanding of the relationship between immunological responses and cancers, especially those related to HPV, has allowed for the study and development of therapeutic vaccines against these neoplasias. There is a growing number of studies about the composition and influence of the tumor microenvironment (TME) in the progression or establishment of the most varied types of cancer. Hence, it has been possible to structure immunotherapy approaches based on therapeutic vaccines that are even more specific and directed to components of TME and the immune response associated with tumors. Among these components are dendritic cells (DCs), which are the main professional antigen-presenting cells (APCs) already studied in therapy strategies for HPV-related cancers. On the other hand, tumor-associated macrophages are also potential targets since the profile present in tumor infiltrates, M1 or M2, influences the prognosis of some types of cancer. These two cell types can be targets for therapy or immunomodulation. In this context, our review aims to provide an overview of immunotherapy strategies for HPV-positive tumors, such as cervical and head and neck cancers, pointing to TME immune cells as promising targets for these approaches. This review also explores the potential of immunotherapy in cancer treatment, including checkpoint inhibitors, cytokine immunotherapies, immunotherapy vaccines, and cell therapies. Furthermore, it highlights the importance of understanding the TME and its effect on the design and achievement of immunotherapeutic methods.
Addressing Nanovaccine Strategies for Tilapia
Authors: Thompson Kim D. , Rodkhum Channarong , Bunnoy Anurak , Thangsunan Patcharapong , Kitiyodom Sirikorn , Sukkarun Pimwarang , Yostawornkul Jakarwan , Yata Teerapong , Pirarat Nopadon
Published: August 2023

Tilapia is the world’s most extensively farmed species after carp. It is an attractive species for aquaculture as it grows quickly, reaching harvest size within six to seven months of production, and provides an important source of food and revenue for many low-income families, especially in low- to middle-income countries. The expansion of tilapia aquaculture has resulted in an intensification of farming systems, and this has been associated with increased disease outbreaks caused by various pathogens, mostly bacterial and viral agents. Vaccination is routinely used to control disease in higher-value finfish species, such as Atlantic salmon. At the same time, many tilapia farmers are often unwilling to vaccinate their fish by injection once the fish have been moved to their grow-out site. Alternative vaccination strategies are needed to help tilapia farmers accept and use vaccines. There is increasing interest in nanoparticle-based vaccines as alternative methods for delivering vaccines to fish, especially for oral and immersion administration. They can potentially improve vaccine efficacy through the controlled release of antigens, protecting antigens from premature proteolytic degradation in the gastric tract, and facilitating antigen uptake and processing by antigen-presenting cells. They can also allow targeted delivery of the vaccine at mucosal sites. This review provides a brief overview of the bacterial and viral diseases affecting tilapia aquaculture and vaccine strategies for farmed tilapia. It focuses on the use of nanovaccines to improve the acceptance and uptake of vaccines by tilapia farmers.
An Investigation of the Influence on Compacted Snow Hardness by Density, Temperature and Punch Head Velocity
Authors: Zhao Qiuming , Li Zhijun , Lu Peng , Wang Qingkai , Wei Jie , Hu Shengbo , Yang Haorong
Published: August 2023

The density, temperature, and punch head velocity are dominant factors to the variation of the compacted snow hardness measured by penetrometers. This effect is essential to the construction and operation of compacted snow roads. The Improved Motor-driven Snow Penetrometers (IMSP) are utilized in this research to control the penetration speed and measure the true cone hardness during snow penetration. This study employs a multi-method approach combining orthogonal experiments and the Support Vector Regression (SVR) technique to analyze the effects of these three factors on snow hardness. The results of this investigation indicate that, under identical conditions, density is positively correlated with the hardness of compacted snow, and its sensitivity and significance to the compacted snow hardness are the greatest. Temperature and penetration speed have an effect on hardness, which cannot be completely ignored. The hardness of snow close to its melting point, regardless of its density, decreases significantly at high penetration rates. This study investigates the factors that influence the hardness of compacted snow and provides substantial technical support for the design, construction, and maintenance of snow roads.
Water Temperature Changes Related to Strong Earthquakes: The Case of the Jinjia Well, Southwest China
Authors: Yang Zhuzhuan , Chen Shunyun , Liu Qiongying , Chen Lichun
Published: August 2023

Systematic measurements of water temperature are lacking but useful in understanding the relationship between water temperature and earthquakes. Based on the water temperature data, geological structure, borehole structure, and temperature gradient in the Jinjia well, Southwest China, we systematically analysed the water temperature changes related to earthquakes. The water temperature of the Jinjia well recorded the coseismic changes caused by the Wenchuan M7.9 and Panzhihua M6.1 earthquakes in 2008. We also found abnormal changes in the water temperature, after which moderate to strong earthquakes occurred in the surrounding region. The preseismic abnormal changes of the Jinjia well were rising-recovery (rising to a high value and continuing for a period of time before decreasing or quickly recovering), with the range of 0.007–0.07 °C. The maximum change (0.07 °C) occurred before the M7.9 Wenchuan earthquake in 2008. According to the Molchan error diagram, the most likely time for an earthquake to occur is within approximately 4 months after the water temperature exceeds the threshold temperature. In the Jinjia well, the installation depth of the temperature sensor affected the correlation between the temperature changes and earthquakes with a seismic energy density above 10−3 J·m−3. The shorter the distance between the sensor and the fault, the higher the probability of water temperature changes related to earthquakes.
Utility of Open-Access Long-Term Precipitation Data Products for Correcting Climate Model Projection in South China
Authors: Cao Daling , Jiang Xiaotian , Liu Shu , Chai Fuxin , Liu Yesen , Lai Chengguang
Published: August 2023

Insufficient precipitation observations hinder the bias-correction of Global Climate Model (GCM) precipitation outputs in ungauged and remote areas. As a result, the reliability of future precipitation and water resource projections is restricted for these areas. Open-access quantitative precipitation estimation (QPE) products offer a potential solution to this challenge. This study assesses the effectiveness of three widely used, long-term QPEs, including ERA5, PERSIANN-CDR, and CHIRPS, in bias-correcting precipitation outputs from the CMIP6 GCMs. The evaluation involves the reproduction of precipitation distribution, streamflow simulation utility based on a hydrological model, and the accuracy of extreme indices associated with rainstorm/flood/drought events. This study selects the Beijiang basin located in the subtropical monsoon area of South China as the case study area. The results demonstrate that bias-correction using QPEs improves the performance of GCM precipitation outputs in reproducing precipitation/streamflow distribution and extreme indices, with a few exceptions. PCDR generally exhibits the most effective bias-correction utility, consistently delivering reasonable performance across various cases, making it a suitable alternative to gauge data for bias-correction in ungauged areas. However, GCM outputs corrected by ERA5 tend to overestimate overall precipitation and streamflow (by up to about 25% to 30%), while the correction results of CHIRPS significantly overestimate certain extreme indices (by up to about 50% to 100%). Based on the revealed performance of QPEs in correcting GCM outputs, this study provides references for selecting QPEs in GCM-based water resource projections in remote and ungauged areas.
Insufficient awareness of the patient decreases his quality of life
Authors:   SAEI CPE RM Mordovia Republican Center for Advanced Training of Healthcare Professionals, Saransk, Russia, Kochetovskaya E. A. , Parshina S. D. ,   SBHI RM Republican Clinical Hospital No. 5, Saransk, Russia
Published: August 2023

Cardiovascular diseases pose a great threat to health and life of the population of our planet. Coronary heart disease (CHD) is one of the most common diseases of the cardiovascular system in the Russian Federation and many economically developed countries. According to the Research Center for Preventive Medicine, coronary heart disease affects about 16 % of the population aged 45–65 years. Aim. To study the effect of anxiety on the quality of life of a patient with coronary heart disease. Results. The analysis of the change in the ratio of the levels of awareness and anxiety during testing at the 1st and 2nd stages of the study shows the correlation of these values. Increasing the patient's awareness leads to a decrease in anxiety. Conclusion. Increasing the level of awareness about one's disease, involvement in cooperation, and awareness of responsibility for one's health helps to reduce the degree of anxiety, adapt to everyday life, and significantly improves the quality of life of patients with coronary heart disease.
Burnout syndrome in the practice of a nurse
Authors:   SBHI Samara Regional Clinical Hospital named after V. D. Seredavin, Boeva N. A. , Golysheva O. A. ,   SBHI Samara Regional Clinical Hospital named after V. D. Seredavin
Published: August 2023

Nurses in practical healthcare face a large number of irritants that are dangerous for the development of emotional burnout. Working with seriously ill patients, night shifts, and potential health hazards — everything a nurse faces every day at the workplace provokes this dangerous syndrome.
DAS MUITAS VIDAS DO PASSADO – NACHLEBEN, HISTÓRIA E TEMPORALIDADE EM ABY WARBURG
Authors: Damas Naiara
Published: August 2023

Este artigo propõe analisar o conceito de Nachleben (vida póstuma) de Aby Warburg e a maneira como ele pode enri- quecer a prática historiográfica, oferecendo um caminho para pensar uma abordagem heterocrônica da história. Por meio de um recorte transversal na vasta obra warburguiana, analisarei, na primeira parte, o modo como este conceito impacta a interpretação do Renascimento italiano ao destacar as “trocas recíprocas” entre o passado e presente e as implicações éticas da sua relação com a Antiguidade. Na segunda parte trato dos efeitos da “vida póstuma” na operação historiográfica, sobretudo o que sig- nifica incorporar a heterocronia como ponto de partida da compreensão histórica e como isso se desdobra, finalmente, numa escrita que opera na chave da montagem.
Attitudinal Survey of Producers Involved in a Meat Goat Artificial Insemination Clinic
Authors: Walker EL , Vaught CR , Walker WD , Nusz SR
Published: August 2023

To quantify intrinsic learning processes, the Intrinsic Motivation Inventory (IMI) was established and incorporated into a questionnaire provided to participants in two meat goat artificial insemination clinics. Pre-test and post-test results on meat goat knowledge, motivation constraints, and confidence in livestock management skills were compared to assess the impact of the instructional clinics. In both months, participants increased their examination scores and improved confidence in their livestock management skills. Understanding of key aspects of the IMI may be of importance when planning educational programs for agricultural producers coming from a variety of different backgrounds and experiences.
Rural Community Members' Perspectives on Mental Health and Aging: An Ecological Approach to Interpreting and Applying Focus Group Results
Authors: Kruger Tina , Murray Deborah , Zanjani Faika
Published: August 2023

The Mental Healthiness and Aging Initiative was created to develop resources addressing the mental health needs of older adults, particularly those in rural areas. Community members participated in focus groups discussing mental health and aging. Themes that emerged included the desire to maintain independence, the importance of emotional health and intergenerational activities, the value of sharing one's life history, remaining active and engaged, being respected, and educating younger community members about aging. The results are discussed in terms of ecological applications. Extension agents should find this data useful for developing programs and materials to promote mental healthiness in their communities
Regionalization With or Without Specialization: A Call for a National Research Agenda
Authors: Morse George
Published: August 2023

More research is needed to help states evaluate Extension delivery model alternatives. Given funding trends, access to all programs requires regional systems with county offices. The traditional county model provides access to an office but only to some programs. While there will be many differences, only states with specialized educators can make sufficient program investments to increase public value and funding. Stakeholders exploring regionalization need to know about the successes and failures of the early adopters. The implementation of a national agenda of high-quality research on regionalization and specialization is needed to protect Extension's historic mission.
Program Review: Raising Healthy Eaters
Authors: Helfrich Christine , Fetsch Robert , Benavente Janet
Published: August 2023

The prevalence of overweight children and adults has been increasing steadily over the past three decades. Behaviors related to diet and nutrition are often established in early childhood. Toddlers most often develop healthy eating habits through parent modeling. Due to the steady increase in obesity in children, there is a clear need for nutrition and parenting programming that helps parents gain a better understanding of nutrition and feeding habits of children. In this article we review the curriculum Raising Healthy Eaters, a program that integrates parenting and nutrition.
Extension Forestry and Family Forest Owners: A Data Source
Authors: Cushing Tamara , Straka Thomas
Published: August 2023

Family forests account for 92% of private forest owners in the United States and 62% of private forestland acres. These are the main clients of Extension forestry. The most recent National Woodland Owners Survey (NWOS) was completed in 2006, and, besides the published results, the U.S. Forest Service has developed NWOS Tablemaker, which can develop useful tables from these data. Tables can be developed to illustrate family forest ownership trends, demographic characteristics, forest management and timber harvesting activities and plans, and forest management information sources. This is an ideal tool to get a "handle" on family forest owners.
Characteristics and Perceptions of 4-H Participants: Gender and Age Differences Across Adolescence
Authors: Bartoszuk Karin , Randall Brandy
Published: August 2023

The study reported here examined 367 adolescent 4-H participants in terms of demographic, psychological, behavioral, and relational characteristics, as well as their perceptions and experiences in 4-H. Overall, participants scored high on all outcome variables except having a diverse population in their club. Older participants were more optimistic, participated in more deviant behaviors, and were more satisfied with their 4-H experiences in comparison to younger participants. In comparison to boys, girls appeared to be healthier in regards to psychological characteristics, positive behaviors, and relationships with peers and other adults and were more satisfied with their 4-H experiences.
Addressing Nature Deficit Disorder Through Primitive Camping Experiences
Authors: Allen Kevin , Varner Keegan , Sallee Jeff
Published: August 2023

Today's youth suffer from Nature Deficit Disorder, a condition that has been connected to ADHD, shortage of creativity, and general lack of knowledge about the outdoors. A team of educators and specialists are addressing this issue with primitive camping. County educators were trained using experiential learning and train-the-trainer techniques. Through these methods, educators are now confident about teaching and leading primitive camping experiences. The ultimate result from the project is 4-H educators taking more youth camping and getting them out-of-doors. Primitive camping experiences can help youth overcome Nature Deficit Disorder and its associated symptoms.
A Comprehensive Process to Identify Issues in Extension
Authors: Ripley Jeff
Published: August 2023

Issue identification is a critical first step in developing program for Extension faculty. The involvement of local leaders, either in person or electronically, is essential to maintain the relevance that Extension is known for. Expanding the scope to include commodity organizations, partners, and stakeholders on a district or regional level strengthens the process even more, creating a more comprehensive approach to needs assessment.
Analisis Keamanan Situs Web Perpustakaan SMAN 3 Tambun Selatan Menggunakan Metode Vulnerability Assessment
Authors: Prasetya Fajar
Published: August 2023

Teknologi informasi berkembang cepat di era digitalisasi sekarang ini. Penggunaan website sudah banyak sekali digunakan sebagai media penyebaran informasi oleh berbagai instansi. Namun dengan semakin banyaknya penggunaan website muncul beragam kejahatan maya yang berusaha mencuri data dari sebuah website. Maka dari itu keamanan suatu website harus menjadi hal yang utama untuk mengamankan data-data instansi. Sebuah penelitian dilakukan dengan tujuan untuk mencari celah kerentanan pada website perpustakaan SMAN 3 Tambun Selatan. Penelitian dilakukan dengan menggunakan metode Vulnerability assessment yang terdiri dari tiga tahapan, yaitu network discovering, vulnerability scanning, dan vulnerability analysis. Hasil dari pengujian didapatkan beberapa celah kerentanan yang termasuk kedalam golongan medium, low, dan informational. Kemudian disajikan beberapa rekomendasi untuk memperbaiki celah-celah kerentanan yang ada pada website perpustakaan SMAN 3 Tambun Selatan.