bluuebunny/crossref_metadata_2025 huggingface dataset:
Do Grandparents Contribute to Their Grandchildren’s Learning through Shared Leisure Activities?
Authors: Alonso Ruiz Rosa Ana , Sanz Arazuri Eva , Sáenz de Jubera Ocón Magdalena , Valdemoros San Emeterio Mª Ángeles , Ponce de León Elizondo Ana
Published: January 2024

Intergenerational leisure can be a tool to stimulate and reinforce the learning of primary school students. The aim of this study was to examine which leisure activities shared by grandparents and their grandchildren are carried out from the perception of intergenerational learning as one of the main reasons for joint practice, and its link with the grandparents’ level of education. An ad hoc questionnaire was administered to 329 students aged 6 to 12 years in the north of Spain, and a descriptive study and inferential analysis of the data were carried out. The leisure activities that students highlight the most as experiences in which they perceive that by sharing them with their grandparents, they learn from them, are board games, artistic activities, caring for plants or gardens and reading. There are only significant differences in the learning perceived by primary school students depending on the level of education of their grandparents in caring for plants or vegetable gardens, as the grandparents of children aged 6 to 12 in the northern part of Spain are more able to teach their grandchildren to care for plants or vegetable gardens when their level of education is primary education. These four activities highlighted by the grandchildren as facilitators of knowledge are very interesting instruments to stimulate and reinforce the education of primary school students, so involving grandparents in their grandchildren’s education and taking advantage of their knowledge and experience, as well as their ability to stimulate their grandchildren, is a good strategy to turn free time into valuable leisure time.
Climate Change Perception and Mental Health. Results from a Systematic Review of the Literature
Authors: Gianfredi Vincenza , Mazziotta Francesco , Clerici Giovanna , Astorri Elisa , Oliani Francesco , Cappellina Martina , Catalini Alessandro , Dell’Osso Bernardo Maria , Pregliasco Fabrizio Ernesto , Castaldi Silvana , Benatti Beatrice
Published: January 2024

Climate change is one of the main global challenges and influences various aspects of human health. Numerous studies have indeed demonstrated an association between extreme climate-related events and physical and mental health outcomes, but little is still known about the association between the perception/awareness of climate change and mental health. In accordance with the PRISMA 2020 guidelines, a search was conducted on PubMed and Scopus. The protocol was registered on PROSPERO. The included studies were original observational studies published in English, reporting the association between the perception/awareness of climate change and mental health. A total of 3018 articles were identified. A total of 10 observational studies were included. The period covered in the included studies ranged between 2012 and 2022. Climate change perception is consistently associated with adverse mental health effects across different types of estimates. In particular, the studies identified an association between a higher level of perception/awareness of climate change and depression, anxiety, eco-anxiety, stress, adjustment disorder, substance use, dysphoria, and even thoughts of suicide. Qualitative data underscore the impact on daily activities, contributing to feelings of loss and suicidal ideation. Moreover, climate change perception correlates with lower well-being and resilience. The association between awareness of climate change and mental health is a complex and still poorly explored phenomenon. The main limitations are the high heterogeneity in terms of exposure assessment and data reporting, which hinders quantitative analysis. These results show that climate change perception impacts mental health. Better understanding the phenomenon represents an opportunity to inform public health interventions that promote mental well-being.
Three-Stage Rapid Physical Design Algorithm for Continuous-Flow Microfluidic Biochips Considering Actual Fluid Manipulations
Authors: Liu Genggeng , Liu Yufan , Pan Youlin , Chen Zhen
Published: January 2024

With the continuous development of microfluidic technology, continuous-flow microfluidic biochips (CFMBs) are being increasingly used in the Internet of Things. The automation design of CFMBs has also received widespread attention. The architecture design of CFMBs is divided into a high-level synthesis stage and a physical design stage. Among them, the problem of the physical design stage is very complex. At this stage, the chip architecture is generated based on the device library and a set of flow paths, taking into account the actual fluid manipulations, while minimizing the cost of the chip, such as the number of ports, total length of flow channels, number of flow channel intersections. As fabrication technology advances, the number of devices integrated into CFMBs is increasing. The existing physical design algorithms can no longer meet the design requirements of CFMBs in terms of time. Therefore, we propose a three-stage rapid physical design algorithm for CFMBs considering the actual fluid manipulations. The proposed algorithm includes a port-driven preprocessing stage, a force-directed quadratic placement stage, and a negotiation-based routing stage. In the port-driven preprocessing stage, a port-driven preprocessing algorithm is proposed to generate connection matrices between ports and devices to reduce the number of ports introduced. In the force-directed quadratic placement stage, we model the placement problem as an extremum problem of a quadratic cost function, which mathematically reduces the search space significantly and shortens the running time of the algorithm significantly. In the negotiation-based routing stage, a heuristic negotiation-based routing algorithm and a flow channel strategy that prioritizes the construction of parallel execution are proposed to reduce the running time of the algorithm while ensuring that the number of crossings in the routing solution is close to the optimal solution. Experimental results confirm that our proposed method is able to generate the high-quality solutions quickly. Under general scale problems, compared to the existing method based on ILP, our proposed method achieves a speedup ratio of 23,171 in terms of CPU time and optimizations in terms of number of ports and port reuse of 3.18% and 6.52%, respectively. These optimizations come at the cost of only a slight increase in the number of intersections, the flow length, and the number of flow valves. In addition, our proposed method can effectively solve large-scale problems that cannot be solved by existing method based on ILP.
Volatility Spillovers in Emerging Markets: Oil Shocks, Energy, Stocks, and Gold
Authors: Alzate-Ortega Ana , Garzón Natalia , Molina-Muñoz Jesús
Published: January 2024

This paper extends the literature on the relationship between oil price shocks and financial markets by examining the effect of supply and demand oil shocks on emerging energy markets, stocks of emerging markets, and gold and exploring the impact of unpredictable oil events on the degree of connectedness among these markets. We show that the effect of supply oil price disturbances drives volatility spillovers in emerging markets with prominent medium- and long-term effects, unlike demand oil price unanticipated changes, particularly during turbulent periods such as the 2008 subprime crisis, the COVID-19 pandemic, and the 2015 oil price crash. These volatility spillover effects are influenced by a marked relationship between supply oil disturbances and emerging energy markets. We also expose that the COVID-19 pandemic volatility spillover consequences in emerging markets are unprecedented compared to the 2008 financial crisis. This can be attributed to the different nature of the related oil price disturbances and financial crises. Overall, the findings highlight the role of crude oil supply shocks as drivers not only of volatility dynamics in energy and equity emerging markets but also of financial connectedness patterns in these economies.
Implementation of Fluidized Bed Concept to Improve Heat Transfer in Ecological Adsorption Cooling and Desalination Systems
Authors: Grabowska Karolina , Krzywanski Jaroslaw , Zylka Anna , Kulakowska Anna , Skrobek Dorian , Sosnowski Marcin , Ščurek Radomir , Nowak Wojciech , Czakiert Tomasz
Published: January 2024

Sustainable development policy focuses on reducing the carbon footprint generated by the global industry and energy sector. Replacing conventional energy sources with environmentally friendly ones requires advanced research to increase energy efficiency and reduce the instability and intermittence of renewable sources. Moreover, adsorption chillers are an opportunity to introduce net-zero emission technologies to the refrigeration, air-conditioning, and desalination industries. Adsorption devices could be popularized if a method of effective heat transfer in the volume of the adsorption bed is developed. The innovative concept of introducing fluidized beds into the adsorption system can achieve the most promising results in improving energy efficiency. To confirm the adopted assumption, heat transfer coefficient calculations for the packed and fluidized bed were carried out in this paper based on experimental tests and literature data. The empirical research aims to extend the fundamental knowledge in the implementation of fluidization under low-pressure conditions, characteristic of the adsorption systems’ working cycle. Experiments were conducted on a unique test stand equipped with the Intensified Heat Transfer Adsorption Bed (IHTAB) reactor prototype. Five adsorption bed samples were analyzed. The reference sample consisted only of silica gel, and the subsequent ones contained aluminum or carbon nanotubes with 5 and 10% additions. In the case of samples with admixtures, the fluidized state increased the heat transfer coefficient on average from approx. 36.9 W/m2 K to approx. 245.4 W/m2 K.
Wind Power Bidding Based on an Ensemble Differential Evolution Algorithm with a Problem-Specific Constraint-Handling Technique
Authors: Huang Chao , Zhao Zhenyu , Li Qingwen , Luo Xiong , Wang Long
Published: January 2024

The intermittent nature of wind power generation induces great challenges for power bidding in the electricity market. The deployment of battery energy storage can improve flexibility for power bidding. This paper investigates an optimal power bidding strategy for a wind–storage hybrid power plant in the day-ahead electricity market. To handle the challenges of the uncertainties of wind power generation and electricity prices, the optimal bidding problem is formulated as a risk-aware scenario-based stochastic programming, in which a number of scenarios are generated using a copula-based approach to represent the uncertainties. These scenarios consider the temporal correlation of wind power generation and electricity prices between consecutive time intervals. In the stochastic programming, a more practical but nonlinear battery operation cost function is considered, which leads to a nonlinear constrained optimization problem. To solve the nonlinear constrained optimization problem, an ensemble differential evolution (EDE) algorithm is proposed, which makes use of the merits of an ensemble of mutant operators to generate mutant vectors. Moreover, a problem-specific constraint-handling technique is developed. To validate the effectiveness of the proposed EDE algorithm, it is compared with state-of-the-art DE-based algorithms for constrained optimization problems, including a constrained composite DE (C2oDE) algorithm and a novel DE (NDE) algorithm. The experimental results demonstrate that the EDE algorithm is much more reliable and much faster in finding a better bidding strategy against benchmarking algorithms. More precisely, the average values of the success rate are 0.893, 0.667, and 0.96 for C2oDE, NDE, and EDE, respectively. Compared to C2oDE and NDE, the average value of the mean number of function evaluations to succeed with EDE is reduced by 76% and 59%, respectively.
Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network
Authors: Zhang Jinhua , Li Hui , Cheng Peng , Yan Jie
Published: January 2024

High-precision spatial-temporal wind power prediction technology is of great significance for ensuring the safe and stable operation of power grids. The development of artificial intelligence technology provides a new scheme for modeling with strong spatial-temporal correlation. In addition, the existing prediction models are mostly ‘black box’ models, lacking interpretability, which may lead to a lack of trust in the model by power grid dispatchers. Therefore, improving the model to obtain interpretability has become an important challenge. In this paper, an interpretable short-term wind power prediction model based on ensemble deep graph neural network is designed. Firstly, the graph network model (GNN) with an attention mechanism is applied to the aggregate and the spatial-temporal features of wind power data are extracted, and the interpretable ability is obtained. Then, the long short-term memory (LSTM) method is used to process the extracted features and establish a wind power prediction model. Finally, the random sampling algorithm is used to optimize the hyperparameters to improve the learning rate and performance of the model. Through multiple comparative experiments and a case analysis, the results show that the proposed model has a higher prediction accuracy than other traditional models and obtains reasonable interpretability in time and space dimensions.
Exploring the Impacts of Carbon Pricing on Canada’s Electricity Sector
Authors: Arjmand Reza , Hoyle Aaron , Rhodes Ekaterina , McPherson Madeleine
Published: January 2024

Canadian provinces are required to regulate their power sectors using carbon pricing systems that meet national minimum stringency standards, which are set by the federal government. A diverse set of systems has emerged as a result. However, there has been limited assessment of how different pricing mechanisms impact the evolution of Canada’s electricity system. To address this gap, we use an electricity system planning model called COPPER and a scenario-based approach to assess if, and to what extent, different policy regimes impact power sector greenhouse gas emissions and costs. Our results show that carbon pricing systems currently in place lead to significant carbon reductions over the long term, provided that free emissions allocations are reduced. However, the cost-optimal pathway for the power sector differs across provinces depending on the carbon pricing mechanism. Some provinces achieve least-cost emissions reductions by switching from high-carbon technologies to renewables, while others are better served by replacing high-carbon technologies with low-carbon fossil fuel alternatives. Further, provinces that implement cap-and-trade systems may affect the transitions of interconnected jurisdictions. Power sector climate policy design should reflect the heterogeneity of available assets, resources, and neighbouring approaches.
Multi-Omics Analyses Unravel Genetic Relationship of Chinese Coffee Germplasm Resources
Authors: Ge Yu , Wang Butian , Shi Xuedong , Zhang Zhenwei , Qi Meijun , Du Huabo , Qu Peng , Jiang Kuaile , Chen Zhihua , Li Xuejun
Published: January 2024

The genetic relationships between Coffea arabica resources were analyzed via specific length amplified fragment sequencing (SLAF-seq) and transcriptome sequencing to provide the theoretical basis for breeding new varieties. Twenty C. arabica accessions were used to analyze genetic diversity on the basis of SNPs identified in SLAFs and the transcriptome data. For the SLAF-seq analysis of 20 C. arabica accessions, two Coffea canephora accessions, one Coffea liberica accession, and one Coffea racemosa accession, the number of reads ranged from 2,665,424 to 7,210,310, with a GC content of 38.49%–40.91% and a Q30 value of 94.99%–96.36%. A total of 3,347,069 SLAF tags were obtained, with an average sequencing depth of 13.90×. Moreover, the 1,048,575 SNPs identified in the polymorphic SLAFs were filtered, then the remaining 198,955 SNPs were used to construct a phylogenetic tree, perform a principal component analysis, and characterize the population structure. For the transcriptome analysis, 128.50 Gb clean reads were generated for the 20 C. arabica accessions, with a GC content of 44.36%–51.09% and a Q30 value of 94.55%–95.40%. Furthermore, 25,872 genes’ expression levels were used for the correlation analysis. The phylogenetic relationships as well as the results of the principal component analysis, population structure analysis, and correlation analysis clearly distinguished C. arabica Typica-type accessions from the C. arabica Bourbon-type accessions. Notably, several C. arabica local selections with unknown genetic backgrounds were classified according to all four clustering results.
Content of Bioactive Compounds in Highbush Blueberry Vaccinium corymbosum L. Leaves as a Potential Raw Material for Food Technology or Pharmaceutical Industry
Authors: Czernicka Maria , Sowa-Borowiec Patrycja , Puchalski Czesław , Czerniakowski Zbigniew W.
Published: January 2024

This study was performed to investigate the content of selected phenolic compounds, antioxidant activity and the levels of arbutin and hydroquinone in 25 varieties of highbush blueberry (Vaccinium corymbosum) leaf samples. An analysis of the bioactive components was performed using the HPLC technique and the antioxidant activity was determined via spectrophotometric methods. The content of chlorogenic acid in the analysed leaf extracts ranged from 52.76 mg/g (Spartan variety) to 32.37 mg/g (Nelson variety) and was present in the highest concentration among all the analysed phenolic acids. Particularly large levels of isoquercetin were found in the Aurora, Ivanhoe and Toro varieties (28.40 mg/g, 26.24 mg/g and 21.57 mg/g, respectively). An exceptionally high rutin content (p < 0.05) was found in the Ivanhoe variety (27.19 mg/g) as compared to the other varieties, where it ranged from 2.06 mg/g (Earliblue and Patriot varieties) to 10.55 mg/g (Bluejay variety). The Patriot variety was determined to possess the highest antioxidative activity using the FRAP method (1086.15 μmol Trolox/g d.w.) and based on its DPPH radical scavenging activity (1124.17 μmol Trolox/g d.w.). The total phenolic content (TPC) determined via spectrophotometry ranged from 48.11 mg GAE/g d.w. (Elizabeth variety) to 177.31 GAE/g d.w. (Patriot variety). The arbutin content in the leaves of all tested varieties exceeded 2%, so it can be concluded that they constitute a stable source of arbutin. Three varieties (Bonus, Chanticleer and Herbert) can be considered a potential alternative to bearberry and lingonberry leaves. The hydroquinone content in the analysed extracts was determined to be at a lower level. V. corymbosum leaves can be considered an interesting herbal material for use in traditional herbal medicinal products but not directly for food products and dietary supplements.
The Effects of Naematelia aurantialba on the Pasting and Rheological Properties of Starch and the Research and Development of Soft Candy
Authors: Cheng Yanfen , Su Cuixin , Wei Shijie , Zhao Jing , Wei Fen , Liu Xiaolong , Wang Hanbing , Wu Xiaoyue , Feng Cuiping , Meng Junlong , Cao Jinling , Yun Shaojun , Xu Lijing , Geng Xueran , Chang Mingchang
Published: January 2024

To study the effects of Naematelia aurantialba (NA) on the rheological and gelatinization properties of starch, the processing methods of NA were diversified. In this study, the gelatinization and rheological properties of corn starch (CS) and edible cassava starch (ECS) were investigated by adding NA with different mass fractions. Starch soft candy was prepared using NA, CS, and ECS as the main raw materials. Rheological studies showed that both CS-NA and ECS-NA exhibited elastic modulus (G′) > viscosity modulus (G″), implying elastic behavior. G′ was such that CS+1%NA > CS+5%NA > CS+3%NA > CS > CS+2%NA > CS+4%NA > ECS+4%NA > ECS+3%NA > ECS+5%NA > ECS+2%NA > ECS+1%NA > ECS. The gelatinization implied showed that after adding NA, the pasting temperature of CS-NA and ECS-NA increased by 1.33 °C and decreased by 2.46 °C, while their breakdown values decreased by 442.35 cP and 866.98 cP, respectively. Through a single-factor test and orthogonal test, the best formula of starch soft candy was as follows: 0.4 f of NA, 10 g of white granulated sugar, a mass ratio of ECS to CS of 20:1 (g:g), 0.12 g of citric acid, 1 g of red date power, and 16 mL of water. The soft candy was stable when stored for two days. This study offers a new direction for the research and development of NA starch foods.
Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology
Authors: Li Wenlong , Shi Yu , Huang Xiaowei , Li Zhihua , Zhang Xinai , Zou Xiaobo , Hu Xuetao , Shi Jiyong
Published: January 2024

As a traditional Chinese dish cutting technology process, Gaidao artificially create cuts embedded in the food surface by cutting through it with knife, a process that currently plays an important role in the beef marinating process. And different Gaidao processes directly affect the beef marination flavour and marination efficiency. This study is the first to propose the use of Hyperspectral imaging technology (HSI) combined with finite element analysis to investigate the effect of Gaidao process on the quality of marinated beef. The study was carried out by collecting spectral information of beef marinated with different sucrose concentrations and combining various pre-processing methods and algorithms such as PLS, BiPLS, iPLS, and SiPLS to establish a quantitative model of sucrose concentration in beef, and finally optimizing parameters such as the length, position and number of Gaidao by Finite Element Analysis (FEA), which showed that when marinated with 1.0 mol/m³ sucrose solution, the concentration of sucrose in all tissues in the Gaidao steak reached 0.8 mol/m³ and above, which greatly improved the diffusion effect of the marinade. This work provides new ideas and methods to optimize the beef marinade Gaidao process, which has important practical value and research significance.
Full-Scale Pore Structure Characterization and Its Impact on Methane Adsorption Capacity and Seepage Capability: Differences between Shallow and Deep Coal from the Tiefa Basin in Northeastern China
Authors: Zhang Na , Wang Shuaidong , Wu Jiaqi , Li Zheng , Wang Xinyue
Published: January 2024

Deep low-rank coalbed methane (CBM) resources are numerous and widely distributed in China, although their exploration remains in its infancy. In this work, gas adsorption (N2/CO2), mercury intrusion porosimetry, and 3D CT reconstruction were performed on five coal samples of deep and shallow low-rank coal from northeast China to analyze their pore structure. The impact of the features in the pore structure at full scale on the capacity for methane adsorption and seepage is discussed. The results indicate that there are significant differences between deep low-rank coal and shallow low-rank coal in terms of porosity, permeability, composition, and adsorption capacity. The full-scale pore distribution was dispersed over a broad range and exhibited a multi-peak distribution, with the majority of the peak concentrations occurring between 0.45–0.7 nm and 3–4 nm. Mesopores are prevalent in shallow coal rock, whereas micropores are the most numerous in deep coal rock. The primary contributors to the specific surface area of both deep and superficial coal rock are micropores. Three-dimensional CT reconstruction can characterize pores with pore size greater than 1 μm, while the dominating equivalent pore diameters (Deq) range from 1 to 10 μm. More mini-scale pores and fissures are observed in deep coal rock, while shallow coal rock processes greater total and connection porosity. Multifractal features are prevalent in the fractal qualities of all the numbered samples. An enhancement in pore structure heterogeneity occurs with increasing pore size. The pore structure of deep coal rock is more heterogeneous. Furthermore, methane adsorption capacity is favorably connected with D1 (0.4 nm < pore diameter ≤ 2 nm), D2 (2 nm < pore diameter ≤ 5 nm), micropore volume, and specific surface area and negatively correlated with D3 (5 nm < pore diameter ≤ 50 nm), showing that methane adsorption capability is primarily controlled by micropores and mesopores. Methane seepage capacity is favorably connected with the pore volume and connected porosity of macropores and negatively correlated with D4 (pore diameter > 50 nm), indicating that the macropores are the primary factor influencing methane seepage capacity.
Uncovering Key Factors in Graphene Aerogel-Based Electrocatalysts for Sustainable Hydrogen Production: An Unsupervised Machine Learning Approach
Authors: Obeid Emil , Younes Khaled
Published: January 2024

The application of principal component analysis (PCA) as an unsupervised learning method has been used in uncovering correlations among diverse features of aerogel-based electrocatalysts. This analytical approach facilitates a comprehensive exploration of catalytic activity, revealing intricate relationships with various physical and electrochemical properties. The first two principal components (PCs), collectively capturing nearly 70% of the total variance, attested the reliability and efficacy of PCA in unveiling meaningful patterns. This study challenges the conventional understanding that a material’s reactivity is solely dictated by the quantity of catalyst loaded. Instead, it unveils a complex perspective, highlighting that reactivity is intricately influenced by the material’s overall design and structure. The PCA bi-plot uncovers correlations between pH and Tafel slope, suggesting an interdependence between these variables and providing valuable insights into the complex interactions among physical and electrochemical properties. Tafel slope stands to be positively correlated with PC1 and PC2, showing an evident positive correlation with the pH. These findings showed that the pH can have a positive correlation with the Tafel slope, however, it does not necessarily reflect a direct positive correlation with the overpotential. The impact of pH on current density (j)and Tafel slope underscores the importance of adjusting pH to lower overpotential effectively, enhancing catalytic activity. Surface area (from 30 to 533 m2 g−1) emerges as a key physical property, inclusively inverse correlation with overpotential, indicating its direct role in lowering overpotential and increasing catalytic activity. The introduction of PC3, in conjunction with PC1, enriches the analysis by revealing consistent trends despite a slightly lower variance (60%). This reinforces the robustness of PCA in delineating distinct characteristics of graphene aerogels, affirming their potential implications in diverse electrocatalytic applications. In summary, PCA proves to be a valuable tool for unraveling complex relationships within aerogel-based electrocatalysts, extending insights beyond catalytic sites to emphasize the broader spectrum of material properties. This approach enhances comprehension of dataset intricacies and holds promise for guiding the development of more effective and versatile electrocatalytic materials.
Impact of the Preparation Method on the Formulation Properties of Allantoin Hydrogels: Evaluation Using Semi-Solid Control Diagram (SSCD) Principles
Authors: Vlad Robert-Alexandru , Dudici (Vlăgea) Teodora-Cătălina , Syed Muhammad Ali , Antonoaea Paula , Rédai Emöke Margit , Todoran Nicoleta , Cotoi Cornelia-Titiana , Bîrsan Magdalena , Ciurba Adriana
Published: January 2024

Allantoin possesses numerous beneficial properties for the skin, like anti-irritant effects, wound healing, skin hydration, and epithelization. In this paper, we investigated a suitable preparation method for an allantoin hydrogel using the Semi-Solid Control Diagram (SSCD) method and characterized its rheological and consistency behavior. To accomplish this, xanthan gum (XG) was selected as a model gelling agent. Briefly, four hydrogels were prepared, two without allantoin (coded M01 and M02) and two with allantoin (M1 and M2). Similarly, the formulations were either prepared through magnetic stirring (M01 and M1) or homogenization in a mortar (M02 and M2). The prepared hydrogels were evaluated using the SSCD for specific parameters and indexes. The Good Quality Index (GQI) shows a higher value for the formulation, M1 = 6.27, compared to M2 = 5.45. This result is also underlined by the value of M01 = 6.45, which is higher than M02 = 6.38. Considering the consistency, the formulation M01 possessed the highest spreadability, followed by M02 and then the allantoin hydrogels M1 and M2. The rheological behavior had a thixotropic pseudoplastic flow for all the formulations. The use of SSCD pictographs outlined the rheological properties that need improvement, the method that is suitable to prepare the allantoin hydrogels, and the influence of the allantoin suspended in the XG hydrogel.
Spectral Investigation of the Relationship between Seismicity and Water Level in the Enguri High Dam Area (Georgia)
Authors: Telesca Luciano , Tsereteli Nino , Chelidze Tamaz , Lapenna Vincenzo
Published: January 2024

A spectral analysis of the time dynamics of seismicity occurring in the Enguri area of Georgia from 1978 to 2021 is performed by means of Schuster’s spectrum analysis, periodogram analysis, and empirical mode decomposition. The results of our analysis suggest that earthquakes around the reservoir (within a 50 km radius from the center of the dam) may be due to changes in water level, featured by the yearly cycle of loading and unloading operations of the reservoir. It is observed that the impacts of water fluctuations are more pronounced in shallower strata (down to 10 km) than deeper ones (down to 20 km); this could indicate that earthquakes occurring at deeper levels may primarily result from tectonic forces, whereas those at shallower depths may be predominantly triggered by reservoir-induced factors.
Perceptions, Attitudes, and Barriers towards the Use of Central Board for Accreditation of Healthcare Institutions (CBAHI) Standards among Saudi Healthcare Providers
Authors: Kabrah Saeed M. , Abuzerr Samer , Flemban Arwa , Jambi Layal , Kabrah Ahmed , Alghamdi Saad , Alghamdi Saeed M. , Alshareef Ahmad A. , Melibary Seham M. , Al-Ghamdi Dakheelallah Homoud , Filfilan Najeeb O. , Ralsan Tahani S. , Alzhrani Adel A.
Published: January 2024

Background: Quality improvement is a strategic priority for all healthcare systems. However, the engagement of healthcare providers in pursuing accreditation plays a critical role in integrating standards into routine practice. Therefore, the current study assessed the perceptions, attitudes, and barriers towards using the Central Board for Accreditation of Healthcare Institutions (CBAHI) standards among Saudi healthcare providers. Method: This cross-sectional study was conducted in 2023 among a representative sample (364) of Saudi healthcare providers (both genders, aged 20–60) working at twenty governmental CBAHI-accredited hospitals in Saudi Arabia. The study participants were selected using a cluster random sampling method. Data regarding the perceptions, attitudes, and barriers toward using CBAHI standards among Saudi healthcare providers were evaluated using a validated questionnaire. Additional information regarding demographic–socioeconomic variables was obtained with an interview-based questionnaire. Statistical analysis was performed using SPSS version 28. Results: A total of 364 healthcare providers participated in the current study. Of them, 54.4% were males, and 45.6% were females. Almost half (48.6%) of the study participants held bachelor’s degrees. For the variables of age group, marital status, monthly income, and years of work experience, statistically significant associations were found between males and females (p-value < 0.05). The means of overall item agreement percentage of the participating healthcare providers for perceptions and attitudes towards using CBAHI standards and attitudes towards using CBAHI standards as a tool for quality improvement were 80.1%, 76.4%, and 72.0%, respectively. The highest item agreement percentage of the participating healthcare providers regarding the barriers that inhibit the hospital from obtaining the full benefit from the CBAHI accreditation was for the inexpedient IT tools (59.6%). Conclusion: The current study’s results demonstrated accepted perceptions and attitudes toward using CBAHI standards among Saudi healthcare providers. In addition, the identified barriers should be alleviated to improve the quality, effectiveness, and efficiency of the hospitals in Saudi Arabia. The findings also help clarify the accreditation operating process, which may be helpful to policymakers and stakeholders in making informed decisions on integrating accreditation standards.
The Experience of Spanish Prison Nurses with the HIV Pandemic
Authors: Vera-Remartínez Enrique J. , Zafra-Agea Jose Antonio , Garcia-Guerrero Julio , Molés-Julio Maria Pilar
Published: January 2024

Introduction: This study discusses the experiences of nurses in Spanish prisons during the HIV/AIDS pandemic, emphasizing administrative changes and adaptive measures, such as the creation of the Subdirectorate General of Penitentiary Health. Objective: We describe the experiences of nurses in Spanish penitentiary centers in the face of the HIV/AIDS. Materials and methods: The interpretative and phenomenological approach explored experiences between 1981 and 2023 through focus groups and convenience sampling. Participants were recruited through telephone calls and telematic meetings using Microsoft Teams. Four key themes were identified: the stigmatization of inmates, changes in nursing, the importance of training and resources, and equal treatment between genders. Results: The nursing vision focused on gathering information, providing comprehensive patient support, and sharing personal experiences. Discussion: This research provides a historical perspective on the adaptation of prison nursing to the pandemic, highlighting coping processes and suggesting future lines of research on the experiences of inmates, prison guards, and surveillance officers. Conclusions: We highlight the low media visibility of the pandemic in prisons, underlining the importance of understanding and valuing the nursing experience in prison settings during health crises.
Death Unpreparedness Due to the COVID-19 Pandemic: A Concept Analysis
Authors: Costeira Cristina , Dixe Maria Anjos , Querido Ana , Rocha Ana , Vitorino Joel , Santos Cátia , Laranjeira Carlos
Published: January 2024

The COVID-19 pandemic imposed changes upon the capacity of healthcare systems, with significant repercussions on healthcare provision, particularly at end-of-life. This study aims to analyze the concept map of death unpreparedness due to the COVID-19 pandemic, capturing the relationships among the attributes, antecedents, consequences, and empirical indicators. Walker and Avant’s method was used to guide an analysis of this concept. A literature search was performed systematically, between May 2022 and August 2023, using the following electronic databases on the Elton Bryson Stephens Company (EBSCO) host platform: Medical Literature Analysis and Retrieval System Online (Medline), Psychological Information Database (PsycINFO), Cumulative Index to Nursing and Allied Health Literature (CINAHL) Complete, Cochrane Library, and Nursing and Allied Health Collection. Thirty-four articles were retrieved. The unexpected and unpredictable impositions associated with inexperience and unskillfulness in dealing with COVID-19 configured challenges for healthcare professionals, family/caregivers, and even the dying person. Nine key attributes emerged in three main domains: (1) Individual: (a) disease-related conditions, (b) separation distress, and (c) scarcity of death and grief literacy; (2) Relational: (a) Dying alone, (b) poor communication, and (c) existential issues; and (3) Contextual: (a) disrupted collective mourning and grieving, (b) disrupted compassionate care and, (c) pandemic social stigma. This study contributed a full definition of death unpreparedness in a global pandemic scenario such as COVID-19. In this sense, feeling unprepared or unready for death brought new challenges to the bioecological resources of those affected. It is essential to embrace strategies capable of providing emotional and spiritual support in the dying process and to respect patient wishes. The lessons learned from COVID-19 should be applied to events with a comparable impact to minimize their consequences.
Development and Evaluation of a Web Application for Attracting Bees to Your Garden
Authors: Wilson Sandra , Kalaman Heather , Mallinger Rachel , Marvin Jennifer , Lewis Claire , Momol Esen
Published: January 2024

An online application called BeeGardens was developed for users to quickly access over 85 bee-friendly plants that attract 12 primary bee groups and ways to incorporate these into different landscape designs. The functionality and usefulness of the app was evaluated by students enrolled in two courses: Florida Native Landscaping or Annual and Perennial Gardening, taught in different semesters. Before and after the semester, students were asked to report their perceived confidence to (1) identify bee-friendly plants, (2) identify bee pollinators, and (3) design a bee-friendly garden, using a Likert scale with responses ranging from 1 (strongly disagree) to 5 (strongly agree). Means of pre- and post-test self-reported responses showed a significant confidence gain upon using the BeeGardens online application in both courses. Students in Annual and Perennial Gardening and Florida Native Landscaping were 1.26 and 1.34 times, respectively, more confident in their ability to identify pollinator plants, identify bee pollinators, and design bee gardens after using the web application. These data were consistent with pre- and post-tested means where students were asked to identify three major pollinator plants and three major pollinators using multiple choice response options. Test scores increased by 26.3% and 37.9% in Annual and Perennial Gardening and Florida Native Landscaping, respectively. The majority of students (95.0%) agreed or strongly agreed this learning tool was organized, easy to navigate, and would use it in the future. Since its launch in 2021, BeeGardens has averaged 1201 unique visits per month, revealing its popularity and wide use.
Cucumber Auxin Response Factor CsARF10a Regulates Leaf Morphogenesis and Parthenocarpic Fruit Set in Tomato
Authors: Xu Jian , Zhu Pinyu , Yao Xiefeng , Meng Yongjiao , Lou Lina , Zhang Man , Liu Guang , Yang Xingping , Liu Jinqiu , Zhu Lingli , Hou Qian , Li Ji , Xu Jinhua
Published: January 2024

Auxin response factors (ARFs) are pivotal transcription factors involved in many aspects of auxin-dependent developmental processes. While functions of ARFs have been extensively studied in Arabidopsis, their distinct role in cucumber remains unclear. In this study, a cucumber auxin response factor homolog, CsARF10a, was cloned and overexpressed in tomato plants. RT-qPCR analysis indicated that the expression abundance of CsARF10a was significantly decreased in cucumber leaves and female flowers, and the expression level of CsARF10a was relatively low in pollinated fruits and hormone-treated fruits compared with that in unpollinated fruits. Moreover, the overexpression of CsARF10a in tomato resulted in multiple phenotypic changes, including a wider leaf blade, delayed fruit ripening, and parthenocarpic fruit set in CsARF10a-OE lines. Taken together, our research shed light on the regulatory importance of CsARF10a in regulating various phenotype alterations and laid a solid foundation for further functional studies.
Women Abused: Analysis of Assistance Provided by Urgency Mobile Service
Authors: Senda Dalton Makoto , de Souza Makcileni Paranho , Castilho Pelloso Fernando , Bocchi Pedroso Raíssa , Carvalho Maria Dalva de Barros , Pelloso Sandra Marisa
Published: January 2024

Considering that reports of violence against women must come after a victim seeks help, the subject matter transcends health-related issues. In Brazil, mobile urgency services (SAMU/SIATE) frequently provide first aid to these women and, to the best of our knowledge, no other research has specifically examined the first reaction given to these women. The present study aimed to analyze SAMU/SIATE assistance to abused women in a cross-sectional study of the assistance to assaulted women provided by SIATE and SAMU Maringá/Norte Novo between 2011 and 2020. Women between 20 and 39 years old, non-pregnant, were the main victims, and 19.52% of them have used drugs of some kind. The (ex) partner figured as the perpetrator in 17.35%, but there was no information about this variable in 73.75% of the records. The Chi-square test shows a mortality rate superior to 70% among the severely traumatized victims. This is the first research work to examine the kind of care that SAMU/SIATE offers, and it identifies several weaknesses in its “modus operandi” that may prevent the results from being applied to larger contexts. In addition, further studies on mobile urgent care services in other provinces are required in order to suggest ways to lessen this epidemic.
The Efficiency of Alternative and Conventional Energy Exchange-Traded Funds: Are Clean Energy Exchange-Traded Funds a Safer Asset?
Authors: Henriques Carla Oliveira , Neves Maria Elisabete , Couceiro João Jorge
Published: January 2024

This paper examines the efficiency of alternative energy equity Exchange-Traded Funds (ETFs) and conventional energy equity ETFs from 2018 to 2020, utilizing a combination of an output-oriented Slack-Based Data Envelopment Analysis (DEA) model and cluster analysis. In the context of an output-oriented DEA model, efficiency is defined as the ability of an ETF to maximize its outputs (annualized average return; environmental, social responsibility, and corporate governance; and net asset value) given a fixed level of inputs (expense ratio and beta). The findings indicate that alternative energy ETFs have the potential for long-term outperformance compared to conventional energy ETFs in terms of efficiency. However, during financial crises, the performance differences between the two types of ETFs diminish, with no significant outperformance observed in either category. The expense ratio and net asset value are identified as key factors influencing the efficiency of both ETF types. Additionally, social and governance metrics have a notably stronger positive impact on conventional energy ETFs relative to alternative energy ETFs, highlighting the increasing significance of these factors in financial asset performance.
The Impact of Intangible Capital on Firm Profitability in the Technology and Healthcare Sectors
Authors: Dragomir Voicu D.
Published: January 2024

The aim of the present study is to assess the impact of structural capital intensity and utilization on firm profitability in an international setting: the European Union countries, plus Norway, Switzerland and the United Kingdom. The indicators are calculated based on financial data downloaded from the Refinitiv Eikon database. Two financial ratios are used as proxies for the intensity and utilization of structural capital. The balanced panel consists of 625 companies from 25 countries, over the period from 2013 to 2022. The panel includes financial information on two industries that are considered innovation-oriented, namely technology and healthcare. Alternative model specifications are proposed to test the robustness of the basic model, including dynamic models (with lagged dependent variables). The present study indicates that a higher proportion of structural capital (intangible assets, excluding goodwill) is a negative factor for company profitability in the technology and healthcare sectors. There is no indication that a more intense use of intangible assets and more investments in R&D positively contribute to company profitability in the respective industries, for a large sample of listed companies. A higher proportion of intangible assets, as reported in financial statements, is possibly related to inefficiencies in the management of structural capital. The inverse relationship between profitability and investments in intangible assets is likely due to failures in cost accounting. Limitations and future research propositions are provided in the conclusions.
Chloroquine and Chemotherapeutic Compounds in Experimental Cancer Treatment
Authors: Agalakova Natalia I.
Published: January 2024

Chloroquine (CQ) and its derivate hydroxychloroquine (HCQ), the compounds with recognized ability to suppress autophagy, have been tested in experimental works and in clinical trials as adjuvant therapy for the treatment of tumors of different origin to increase the efficacy of cytotoxic agents. Such a strategy can be effective in overcoming the resistance of cancer cells to standard chemotherapy or anti-angiogenic therapy. This review presents the results of the combined application of CQ/HCQ with conventional chemotherapy drugs (doxorubicin, paclitaxel, platinum-based compounds, gemcitabine, tyrosine kinases and PI3K/Akt/mTOR inhibitors, and other agents) for the treatment of different malignancies obtained in experiments on cultured cancer cells, animal xenografts models, and in a few clinical trials. The effects of such an approach on the viability of cancer cells or tumor growth, as well as autophagy-dependent and -independent molecular mechanisms underlying cellular responses of cancer cells to CQ/HCQ, are summarized. Although the majority of experimental in vitro and in vivo studies have shown that CQ/HCQ can effectively sensitize cancer cells to cytotoxic agents and increase the potential of chemotherapy, the results of clinical trials are often inconsistent. Nevertheless, the pharmacological suppression of autophagy remains a promising tool for increasing the efficacy of standard chemotherapy, and the development of more specific inhibitors is required.
Targeting Innate Immunity in Glioma Therapy
Authors: Gillard Andrew G. , Shin Dong Ho , Hampton Lethan A. , Lopez-Rivas Andres , Parthasarathy Akhila , Fueyo Juan , Gomez-Manzano Candelaria
Published: January 2024

Currently, there is a lack of effective therapies for the majority of glioblastomas (GBMs), the most common and malignant primary brain tumor. While immunotherapies have shown promise in treating various types of cancers, they have had limited success in improving the overall survival of GBM patients. Therefore, advancing GBM treatment requires a deeper understanding of the molecular and cellular mechanisms that cause resistance to immunotherapy. Further insights into the innate immune response are crucial for developing more potent treatments for brain tumors. Our review provides a brief overview of innate immunity. In addition, we provide a discussion of current therapies aimed at boosting the innate immunity in gliomas. These approaches encompass strategies to activate Toll-like receptors, induce stress responses, enhance the innate immune response, leverage interferon type-I therapy, therapeutic antibodies, immune checkpoint antibodies, natural killer (NK) cells, and oncolytic virotherapy, and manipulate the microbiome. Both preclinical and clinical studies indicate that a better understanding of the mechanisms governing the innate immune response in GBM could enhance immunotherapy and reinforce the effects of chemotherapy and radiotherapy. Consequently, a more comprehensive understanding of the innate immune response against cancer should lead to better prognoses and increased overall survival for GBM patients.