bluuebunny/crossref_metadata_2025 huggingface dataset:
If You Want to Prevent Hamstring Injuries in Soccer, Run Fast: A Narrative Review about Practical Considerations of Sprint Training
Authors: Gómez-Piqueras Pedro , Alcaraz Pedro E.
Published: May 2024

Hamstring strain injuries (HSIs) are one of the most common injuries in sprint-based sports. In soccer, the ability to sprint is key, not only because of its relation to performance but also due to its possible protective effect against HSIs. Although many authors have focused on the “how”, “when”, and “what” training load should be implemented, there is a lack of practical proposals for sprint training in a high-level professional environment. The objective of this narrative review is, after a deep review of the scientific literature, to present a practical approach for sprint training, trying to answer some of the questions that most strength and conditioning coaches ask themselves when including it in soccer. Once the literature published on this topic was reviewed and combined with the practical experience of the authors, it was concluded that sprint training in soccer, although it presents an obvious need, is not something about which there is methodological unanimity. However, following the practical recommendations from this narrative review, strength and conditioning coaches can have a reference model that serves as a starting point for optimal management of the internal and external training load when they wish to introduce sprint training in the competitive microcycle in professional soccer players, with the aim of reducing HSIs.
Resilient Urban Flood Management: A Multi-Objective Assessment of Mitigation Strategies
Authors: Reinstaller Stefan , Funke Fabian , König Albert Willhelm , Pichler Markus , Kleidorfer Manfred , Muschalla Dirk
Published: May 2024

This study employs a comprehensive multi-objective efficiency index (EI) to assess urban flood mitigation strategies. The EI enables the simple interpretation of a mitigation strategy’s efficiency with a value range between −1 (low efficiency) and 1 (high efficiency), which represents a practical communication tool for decision makers, engineers, and researchers. This was tested at the study site of Feldbach (Austria) with an integrated 1D–2D urban flood model and a distributed hydrological model. A total of 112 scenarios were analysed for six mitigation strategies, which were built from three future challenge scenarios, two observed heavy storm events, and two hydrological pre-conditions. For the given study site, the analysis identifies mitigation strategies implemented in rural boundary areas as the most effective. A novel aspect of this study is the consideration of the urban water balance change, highlighting its impact on the EI. The analysis highlights the importance of analysing each relevant process separately to determine the EI in order to understand why a mitigation strategy is more or less efficient.
The Impact of Beaver Dams on the Dynamic of Groundwater Levels at Łąki Soleckie
Authors: Bajkowski Sławomir , Oleszczuk Ryszard , Urbański Janusz , Jadczyszyn Jan , Kiraga Marta
Published: May 2024

Areas excluded from agricultural production are susceptible to the presence of beaver families. The most significant changes occur during the initial period, when agricultural utilization is abandoned and beavers establish their presence on the land. During this period, some parcels remain uncultivated, while agricultural activities persist in neighboring areas. This situation is accompanied by the destruction of beaver dams, especially during periods of abundant water resources, and notably during intensive fieldwork. The article presents field studies aimed at determining the extent to which constructed and operational beaver dams contribute to changes in groundwater levels in drained peatland areas. In order to protect and sustainably use peat soils, it is necessary to maintain their high moisture content by ensuring a high groundwater level elevation. This can be achieved through the use of existing damming structures in the area (levees, weirs). Beaver dams can also serve a similar function, blocking the outflow of water from peat lands by raising the water level and consequently retaining it naturally. The specific objective was to develop principles for verifying factors influencing the effects of beaver dam construction on groundwater levels in fields within their range of influence. The water table levels within the study area during rainless periods were influenced by water levels in ditches, dependent on beaver activity in the nearby river. Beaver activities, manifested through dam construction, were influenced by periodic water resources in the river, defined by the cumulative monthly precipitation. Factors affecting groundwater levels in rainless periods on the plots also included the distance from the river cross-section and the permeability of soils expressed by the filtration coefficient of the active layer. Beaver dams had the greatest impact on stabilizing the water table in the soil profile closest to the river.
Antecedents of College Students’ Continuance Behaviors in Online Fragmented Learning: An Empirical Analysis from the Extended ECM Perspective
Authors: She Maoyan , Tan Yuhan , Li Zhigang
Published: May 2024

With the popularity of mobile networks and intelligent terminals, online fragmented learning, as a new learning method, has become the mainstream way for college students to acquire knowledge and study independently. However, college students are prone to “accept-interruption” in online fragmented learning; thus, it is difficult for them to master a complete knowledge system and form a rigorous logic system, which is essential to ensure the effect of online fragmented learning. Therefore, this study investigates the antecedents of college students’ continuance behaviors in online fragmented learning (CBOFL). Based on the expectation confirmation model (ECM), a theoretical model is developed to examine the factors influencing college students’ CBOFL. Taking a total of 429 undergraduate students who have studied contest courses on the Chinese university massive open online courses (MOOCs) for research subjects, the mechanism underlying the determinants of college students’ CBOFL is analyzed, and six hypotheses are tested by a structural equation modeling (SEM) technique with AMOS. The results indicate that confirmation positively impacts intrinsic learning motivation and satisfaction; intrinsic learning motivation, satisfaction, and teachers’ influence all significantly positively affect college students’ CBOFL. Additionally, the predicting powers of different factors on college students’ CBOFL vary broadly; therein, satisfaction has the most significant effect. This study makes theoretical contributions to the quantitative research on college students’ CBOFL and literature on the ECM. Still, it also has important practical significance in guiding college students’ CBOFL and facilitating the sustainability of online fragmented learning.
Urban Resilience Index for Critical Infrastructure: A Scenario-Based Approach to Disaster Risk Reduction in Road Networks
Authors: Rezvani Seyed M. H. S. , Silva Maria João Falcão , de Almeida Nuno Marques
Published: May 2024

Floods pose a significant threat to road networks globally, disrupting transportation, isolating communities, and causing economic losses. This study proposes a four-stage methodology (avoidance, endurance, recovery, and adaptability) to enhance the resilience of road networks. We combine analysis of constructed assets and asset system performance with multiple disaster scenarios (Reactive Flood Response, Proactive Resilience Planning, and Early Warning Systems). Advanced flood Geospatial-AI models and open data sources pinpoint high-risk zones affecting crucial routes. The study investigates how resilient assets and infrastructure scenarios improve outcomes within Urban Resilience Index (CRI) planning, integrating performance metrics with cost–benefit analysis to identify effective and economically viable solutions. A case study on the Lisbon Road network subjected to flood risk analyzes the effectiveness and efficiency of these scenarios, through loss and gain cost analysis. Scenario 2, Proactive Resilience Planning, demonstrates a 7.6% increase compared to Scenario 1, Reactive Flood Response, and a 3.5% increase compared to Scenario 3, Early Warning Systems Implementation. By considering asset performance, risk optimization, and cost, the study supports resilient infrastructure strategies that minimize economic impacts, while enabling communities to withstand and recover from flood events. Integrating performance and cost–benefit analysis ensures the sustainability and feasibility of risk reduction measures.
The Development of a Fully Renewable Lubricant: The Effect of Ethyl Cellulose on the Properties of a Polyhydroxyalkanoate (P34HB)-Based Grease
Authors: Yang Shanshan , Lai Bingbing , Liu Zongzhu , Lou Wenjing
Published: May 2024

In the context of the ongoing evolution of the global economy and increasing environmental awareness, green sustainable development has emerged as a crucial pathway for future advancements in the lubrication industry. In this study, we prepared bio-based greases by employing a thickener system consisting of polyhydroxyalkanoate (P34HB) and ethyl cellulose, with castor oil serving as a base oil. The results indicate that ethyl cellulose significantly and effectively enhances the grease system’s mechanical and colloidal stability. Notably, the addition of 5 wt% ethyl cellulose leads to superior mechanical and colloidal stability, while increasing concentrations gradually result in rheological properties similar to those of oleogels. Furthermore, the wear volume of grease containing 5 wt% ethyl cellulose was reduced by 39.20% compared to that of a reference P34HB grease, demonstrating its exceptional wear resistance. The present study provides a theoretical foundation and empirical evidence for the future development of biodegradable greases as substitutes for non-degradable materials, thereby expanding the range of environmentally friendly greases formulated with biomass-based thickeners.
A Study on MBTI Perceptions in South Korea: Big Data Analysis from the Perspective of Applying MBTI to Contribute to the Sustainable Growth of Communities
Authors: Lee Hyejin , Shin Yoojin
Published: May 2024

This study aimed to assess the potential contributions of the Myers–Briggs Type Indicator (MBTI) to the sustainable growth of communities by conducting a comprehensive analysis of social perceptions of the MBTI in South Korea through big data analysis. The investigation encompasses three primary stages: data collection, preprocessing, and analysis, involving text mining, network analysis, CONCOR analysis, and sentiment analysis. A total of 31,308 text data pieces (13.73 MB) from various sources, including news, blogs, and other sections of Naver and Google, over the past three years, were collected and analyzed using the keyword “MBTI”. Tools, such as Textom SV, UCINET, and NetDraw, were employed for data collection and analysis. The study’s key findings include the identification, through term frequency (TF) and TF-inverse document frequency analyses, of top-ranking terms, such as 16Types, 4Indicators, Test, Myself, OthersMBTI, Situation, and Contents. The CONCOR analysis further revealed six clusters, encompassing themes like interest in MBTI personality tests, application of 16 types in daily life, MZ’s MBTI consumption patterns, trending of MBTI characters, extension to K-Test, and professional use of MBTI. Moreover, sentiment analysis indicated that 68.5% of individuals in South Korea expressed a positive sentiment towards MBTI, while 31.5% conveyed a negative sentiment. The specific emotions identified included liking (Good Feeling), disgust, and interest, in order of prominence. In light of these findings, this study delineates a spectrum of perceptions regarding MBTI in South Korea, encompassing both positive interests and negative concerns. To ensure the responsible use of MBTI, it is imperative to implement reliable scientific testing and education, mitigate the potential harm of stereotyping, and reshape social perceptions surrounding MBTI usage. Only through these measures can MBTI genuinely contribute to the sustainable growth of communities without being confined to limiting stereotypes.
Evaluating the Impact of Low-Carbon Urban Policy on Corporate Green Innovation—Evidence from China’s National Low-Carbon City Strategy Program
Authors: Xia Xingneng , Chen Xuezhao , Chen Qinqin
Published: May 2024

Low-carbon urban policy (LCUP) and corporate green innovation are considered crucial strategies and methods for reducing urban carbon emissions, addressing climate change, and promoting urban environmental sustainability. This study constructed a quasi-natural experiment based on the low-carbon city strategy program implemented in China in 2010, utilizing data from Chinese prefecture-level cities and publicly listed companies from 2005 to 2020. Employing a multi-period difference-in-differences (DID) approach, this paper reveals that the establishment of low-carbon model cities effectively fosters green innovation in corporations. Further analysis demonstrates that this promotional effect is particularly significant in non-state-owned enterprises, enterprises with high media attention, those with a high level of digitalization, and enterprises located in cities with high levels of green finance and in the Eastern and Central regions of China. These conclusions withstood a series of robustness tests, confirming their validity. Meanwhile, the examination of policy mechanisms reveals that public environmental awareness, government environmental regulation, and corporate environmental information disclosure are three key policy transmission mechanisms through which LCUP affects corporate green innovation. The findings of this study provide significant empirical insights for addressing climate change and enhancing the sustainable capacity of urban environments.
A Social Life Cycle Assessment as a Key to Territorial Development: A Study of the Hydrangea Crop in Colombia
Authors: Arenas Cindy Natalia , Bello Ana Patricia , Molina Nicolás Fernando , Botero Jaime León , Betancur Mariluz
Published: May 2024

Studying the social dynamics and development potential of agricultural enterprises is fundamental to promoting sustainable territorial growth. This study aims to assess the impact of growers of small and medium-sized hydrangea crops in the Colombian province of La Paz through a social life cycle analysis (S-LCA), shedding light on their fundamental roles as catalysts for regional development. For this purpose, the prioritization of actors and performance indicators is conducted following the methodologies proposed by the United Nations Environment Programme (UNEP) and the Global Reporting Initiative (GRI). Social variables are identified using the subcategory assessment method (SAM) to strengthen and assess indicators of low and high performance. Sixteen subcategories are qualitatively assessed, with 56% falling short of performance benchmarks, 25% meeting the benchmarks, 13% exceeding the benchmarks with proactive behavior, and 6% having potential with effort. Priority areas were identified as local employment and economic development contributions. This study highlights the significant impact of hydrangea production on territorial development, emphasizing the need to improve social security and health conditions for workers. Environmental actions to reduce agrochemical use are also advocated. This study proposes transforming the social life cycle analysis into an opportunity to evaluate actors’ performance and their contribution to territorial and sustainable development. It emphasizes the importance of assessing social impacts, ethical implications, and community relations throughout the crop value chain, with governance being a crucial aspect for territorial development. This study advocates the integration of these analyses into farm operations, serving as a benchmark for similar assessments across various agricultural activities.
Effects of Sustainable Rice Management on the Behavior and Bioefficacy of Bispyribac-Sodium: A Medium-Term Study
Authors: López-Piñeiro Antonio , Vicente Luis , Fernández-Rodríguez Damián , Albarrán Ángel , Nunes José Manuel Rato , Peña David
Published: May 2024

The practices (tillage and flooding) used for rice crops are unsustainable, especially in areas characterized by water shortages, such as the Mediterranean region. Therefore, it is necessary to develop sustainable methods in order to ensure the viability of rice production. However, it is essential to understand the effects that alternative management can have on herbicide behavior. In this context, this paper describes the first field experiment conducted to evaluate the medium-term effects of different agricultural practices on the fate of bispyribac sodium (BPS). Thus, the treatments were as follows: tillage and flooding (TF), tillage and sprinkler (TS), and no-tillage and sprinkler (NTS). In addition, “alperujo” compost (AC) from olive mill waste was used in each treatment (TF-AC, TS-AC, and NTS-AC). The AC was applied only once in 2015 when the TS and NTS treatments were implemented. The AC amendment increased the adsorption of BPS and its irreversibility, thereby decreasing the BPS leaching capacity. Furthermore, throughout this study, the BPS persistence was up to 1.85 times greater with sprinklers than in the flooding condition, which could explain the high values of BPS effectiveness (increased by a factor of 1.45 on average) found with sprinklers. Therefore, the implementation of sprinklers in combination with AC can be considered a sustainable strategy for Mediterranean rice production, at least in the medium term, as it reduces BPS water pollution and increases its weed control efficiency.
A New Modification of the Weibull Distribution: Model, Theory, and Analyzing Engineering Data Sets
Authors: Alshanbari Huda M. , Ahmad Zubair , El-Bagoury Abd Al-Aziz Hosni , Odhah Omalsad Hamood , Rao Gadde Srinivasa
Published: May 2024

Symmetrical as well as asymmetrical statistical models play a prominent role in describing and predicting the real-world phenomena of nature. Among other fields, these models are very useful for modeling data in the sector of civil engineering. Due to the applicability of the statistical models in civil engineering and other related sectors, this paper offers a statistical methodology to improve the distributional flexibility of traditional models. The suggested method/approach is called the extended-X family of distributions. The proposed method has the ability to generate symmetrical and asymmetrical probability distributions. Based on the extended-X family approach, an updated version of the Weibull model, namely, the extended Weibull model, is studied. The proposed model is very flexible and has the ability to capture the symmetrical and asymmetrical shapes of its density function. For the extended-X method, the estimation of parameters, a simulation study, and some mathematical properties are derived. Finally, the practical illustration/usefulness of the suggested model is shown by analyzing two data sets taken from the field of engineering. Both data sets represent the fracture toughness of alumina (Al2O3).
Emerging Industrial Internet of Things Open-Source Platforms and Applications in Diverse Sectors
Authors: Ayele Eyuel Debebe , Gavriel Stylianos , Gonzalez Javier Ferreira , Teeuw Wouter B. , Philimis Panayiotis , Gillani Ghayoor
Published: May 2024

Revolutionary advances in technology have been seen in many industries, with the IIoT being a prime example. The IIoT creates a network of interconnected devices, allowing smooth communication and interoperability in industrial settings. This not only boosts efficiency, productivity, and safety but also provides transformative solutions for various sectors. This research looks into open-source IIoT and edge platforms that are applicable to a range of applications with the aim of finding and developing high-potential solutions. It highlights the effect of open-source IIoT and edge computing platforms on traditional IIoT applications, showing how these platforms make development and deployment processes easier. Popular open-source IIoT platforms include DeviceHive and Thingsboard, while EdgeX Foundry is a key platform for edge computing, allowing IIoT applications to be deployed closer to data sources, thus reducing latency and conserving bandwidth. This study seeks to identify potential future domains for the implementation of IIoT solutions using these open-source platforms. Additionally, each sector is evaluated based on various criteria, such as development requirement analyses, market demand projections, the examination of leading companies and emerging startups in each domain, and the application of the International Patent Classification (IPC) scheme for in-depth sector analysis.
From Mining to Tourism: Assessing the Destination’s Image, as Revealed by Travel-Oriented Social Networks
Authors: Nicola Sanda , Schmitz Serge
Published: May 2024

Mining communities often rely on tourism as a vehicle for post-mining territorial development. Sometimes, these expectations of the locals are justified by the natural setting and/or the well-preserved industrial heritage; however, these potential tourist destinations are disadvantaged primarily by their image, often associated with decay in the perception of travellers. In this paper, we treat travellers as stakeholders, able to decisively influence the image of a destination by uploading content (photos, reviews and ratings) on Google Maps and TripAdvisor, and we emphasise that user-generated content should be considered when shaping the tourism development strategies. Taking as case studies three former mining regions trying to capitalise on their tourist potential—Jiu Valley and Ștei, in Romania and La Louvière, in Belgium—this article proposes a method for assessing the image of the destination, also aiming to identify those aspects that require improvement.
Short-Term Effects of Ambient Air Pollution on Chronic Obstructive Pulmonary Disease Admissions in Jiuquan, China
Authors: Bao Hairong , Dong Jiyuan , Li Deshun , Zhu Lisha , Shu Juan
Published: May 2024

Recent findings indicate that air pollution contributes to the onset and advancement of chronic obstructive pulmonary disease (COPD). Nevertheless, there is insufficient research indicating that air pollution is linked to COPD in the region of inland northwest China. Daily hospital admission records for COPD, air pollutant levels, and meteorological factor information were collected in Jiuquan for this study between 1 January 2018 and 31 December 2019. We employed a distributed lag non-linear model (DLNM) integrated with the generalized additive model (GAM) to assess the association between air pollution and hospital admissions for COPD with single lag days from lag0 to lag7 and multiday moving average lag days from lag01 to lag07. For example, the pollutant concentration on the current day was lag0, and on the prior 7th day was lag7. The present and previous 7-day moving average pollutant concentration was lag07. Gender, age, and season-specific stratified analyses were also carried out. It is noteworthy that the delayed days exhibited a different pattern, and the magnitude of associations varied. For NO2 and CO, obvious associations with hospitalizations for COPD were found at lag1, lag01–lag07, and lag03–lag07, with the biggest associations at lag05 and lag06 [RR = 1.015 (95%CI: 1.008, 1.023) for NO2, RR = 2.049 (95%CI: 1.416, 2.966) for CO], while only SO2 at lag02 was appreciably linked to hospitalizations for COPD [1.167 (95%CI: 1.009, 1.348)]. In contrast, short-term encounters with PM2.5, PM10, and O3 were found to have no significant effects on COPD morbidity. The lag effects of NO2 and CO were stronger than those of PM2.5 and PM10. Males and those aged 65 years or older were more vulnerable to air pollution. When it came to the seasons, the impacts appeared to be more pronounced in the cold season. In conclusion, short-term encounters with NO2 and CO were significantly correlated with COPD hospitalization in males and the elderly (≥65).
Food Plants and Environmental Contamination: An Update
Authors: Guerrieri Nicoletta , Mazzini Stefania , Borgonovo Gigliola
Published: May 2024

Food plants are the basis of human nutrition, but, in contaminated places, they can uptake contaminants. Environmental contamination and climate change can modify food quality; generally, they have a negative impact on and imply risks to human health. Heavy metals, like lead, arsenic, cadmium, and chromium, can be present at various environmental levels (soil, water, and atmosphere), and they are widely distributed in the world. Food plants can carry out heavy metal bioaccumulation, a defense pathway for plants, which is different for every plant species. Accumulation is frequent in the roots and the leaves, and heavy metals can be present in fruits and seeds; As and Cd are always present. In addition, other contaminants can bioaccumulate in food plants, including emerging contaminants, like persistent organic pollutants (POPs), pesticides, and microplastics. In food plants, these are present in the roots but also in the leaves and fruits, depending on their chemical structure. The literature published in recent years was examined to understand the distribution of contaminants among food plants. In the literature, old agronomical practices and new integrated technology to clean the water, control the soil, and monitor the crops have been proposed to mitigate contamination and produce high food quality and high food safety.
A Historical Perspective on Uremia and Uremic Toxins
Authors: Meijers Björn , Zadora Ward , Lowenstein Jerome
Published: May 2024

Uremia, also known as uremic syndrome, refers to the clinical symptoms in the final stage of renal failure. The definition of the term has changed over time due to an improved comprehension of the kidney’s function and the advancement of dialysis technology. Here, we aim to present an overview of the various concepts that have developed regarding uremia throughout the years. We provide a comprehensive review of the historical progression starting from the early days of Kolff and his predecessors, continuing with the initial research conducted by Niwa et al., and culminating in the remote sensing hypothesis of Nigam. Additionally, we explore the subsequent investigation into the function of these toxins as signaling molecules in various somatic cells.
Paralytic Shellfish Toxins in Mollusks from Galicia Analyzed by a Fast Refined AOAC 2005.06 Method: Toxicity, Toxin Profile, and Inter-Specific, Spatial, and Seasonal Variations
Authors: Blanco Juan , Lamas Juan Pablo , Arévalo Fabiola , Correa Jorge , Rodríguez-Cabo Tamara , Moroño Ángeles
Published: May 2024

Paralytic shellfish poisoning is an important concern for mollusk fisheries, aquaculture, and public health. In Galicia, NW Iberian Peninsula, such toxicity has been monitored for a long time using mouse bioassay. Therefore, little information exists about the precise toxin analogues and their possible transformations in diverse mollusk species and environments. After the change in the European PSP reference method, a refinement of the Lawrence method was developed, achieving a 75% reduction in chromatogram run time. Since the beginning of 2021, when this refinement Lawrence method was accredited under the norm UNE-EN ISO/IEC 17025, it has been used in the area to determine the toxin profiles and to estimate PSP toxicity in more than 4500 samples. In this study, we have summarized three years of monitoring results, including interspecific, seasonal, and geographical variability of PSP toxicity and toxin profile. PSP was detected in more than half of the samples analyzed (55%), but only 4.4% of the determinations were above the EU regulatory limit. GTX1,4 was the pair of STX analogs that produced the highest toxicities, but GTX2,3 was found in most samples, mainly due to the reduction of GTX1,4 but also by the higher sensitivity of the method for this pair of analogs. STX seems to be mainly a product of biotransformation from GTX2,3. The studied species (twelve bivalves and one gastropod) accumulated and transformed PSP toxins to a different extent, with most of them showing similar profiles except for Spisula solida and Haliotis tuberculata. Two seasonal peaks of toxicity were found: one in spring-early summer and another in autumn, with slightly different toxin profiles during outbreaks in relation to the toxicity during valleys. In general, both the total toxicity and toxin profiles of the southernmost locations were different from those in the northern part of the Atlantic coast and the Cantabrian Sea, but this general pattern is modified by the PSP history of some specific locations.
Histocompatibility Testing: A Fundamental Aspect of Renal Transplant Workup
Authors: Mishra Vikash Chandra , Chandra Dinesh , Raina Vimarsh
Published: May 2024

Histocompatibility testing is pivotal in any renal transplantation workup, aimed at enhancing prospective donor recipient compatibility and improving transplant outcomes. The evolution and advancement of histocompatibility testing, particularly HLA typing, have significantly improved its precision. This study outlines the historical progression from serologic to DNA-based HLA typing, emphasizing the role of HLA proteins in immune response. Anti-HLA antibodies, targeting HLA proteins, pose challenges in renal transplantation. Monitoring and managing these antibodies are critical for renal transplant success. Complement-dependent cytotoxicity crossmatch and flow cytometry crossmatch are essential techniques for assessing donor–recipient compatibility. Panel-reactive antibody assesses antibodies against a panel of donor antigens, often HLA. Higher PRA levels (percentage) complicate donor matching, requiring specialized protocols. Virtual crossmatch evaluates recipient anti-HLA antibodies against potential donors through synthetic beads. This approach predicts crossmatch outcomes by comparing antibody profiles, offering a valuable tool for the risk assessment of renal transplantation. Despite advancements, a comprehensive understanding of alloreactive immune responses requires a combination of assays, emphasizing the importance of a multifaceted approach in histocompatibility testing. This is an attempt to compile the relevant information, providing a basis for comparison in a clear and foundational format for histocompatibility testing laboratories.
Bose and Fermi Gases in Metric-Affine Gravity and Linear Generalized Uncertainty Principle
Authors: Wojnar Aneta , Gomes Débora Aguiar
Published: May 2024

Palatini-like theories of gravity have a remarkable connection to models incorporating linear generalized uncertainty principles. Considering this, we delve into the thermodynamics of systems comprising both Bose and Fermi gases. Our analysis encompasses the equations of state for various systems, including general Fermi gases, degenerate Fermi gases, Boltzmann gases, and Bose gases such as phonons and photons, as well as Bose–Einstein condensates and liquid helium.
Hourglass Magnetic Field of a Protostellar System
Authors: Basu Shantanu , Li Xiyuan , Bino Gianfranco
Published: May 2024

An hourglass-shaped magnetic field pattern arises naturally from the gravitational collapse of a star-forming gas cloud. Most studies have focused on the prestellar collapse phase, when the structure has a smooth and monotonic radial profile. However, most observations target dense clouds that already contain a central protostar, and possibly a circumstellar disk. We utilize an analytic treatment of the magnetic field along with insights gained from simulations to develop a more realistic magnetic field model for the protostellar phase. Key elements of the model are a strong radial magnetic field in the region of rapid collapse, an off-center peak in the magnetic field strength (a consequence of magnetic field dissipation in the circumstellar disk), and a strong toroidal field that is generated in the region of rapid collapse and outflow generation. A model with a highly pinched and twisted magnetic field pattern in the inner collapse zone facilitates the interpretation of magnetic field patterns observed in protostellar clouds.
Estimating the Mass of Galactic Components Using Machine Learning Algorithms
Authors: López-Sánchez Jessica N. , Munive-Villa Erick , Avilez-López Ana A. , Martínez-Bravo Oscar M.
Published: May 2024

The estimation of galactic component masses can be carried out through various approaches that involve a host of assumptions about baryon dynamics or the dark matter model. In contrast, this work introduces an alternative method for predicting the masses of the disk, bulge, stellar, and total mass using the k-nearest neighbours, linear regression, random forest, and neural network (NN) algorithms, reducing the dependence on any particular hypothesis. The ugriz photometric system was selected as the set of input features, and the training was performed using spiral galaxies in Guo’s mock catalogue from the Millennium simulation. In general, all of the algorithms provide good predictions for the galaxy’s mass from 109 M⊙ to 1011 M⊙, corresponding to the central region of the training domain. The NN algorithm showed the best performance. To validate the algorithm, we used the SDSS survey and found that the predictions of disk-dominant galaxies’ masses lie within a 99% confidence level, while galaxies with larger bulges are predicted at a 95% confidence level. The NN also reveals scaling relations between mass components and magnitudes. However, predictions for less luminous galaxies are biased due to observational limitations. Our study demonstrates the efficacy of these methods with the potential for further enhancement through the addition of observational data or galactic dynamics.
Modulation of Paracellular Permeability in SARS-CoV-2 Blood-to-Brain Transcytosis
Authors: Martinez Taylor E. , Mayilsamy Karthick , Mohapatra Shyam S. , Mohapatra Subhra
Published: May 2024

SARS-CoV-2 primarily infects the lungs via the ACE2 receptor but also other organs including the kidneys, the gastrointestinal tract, the heart, and the skin. SARS-CoV-2 also infects the brain, but the hematogenous route of viral entry to the brain is still not fully characterized. Understanding how SARS-CoV-2 traverses the blood-brain barrier (BBB) as well as how it affects the molecular functions of the BBB are unclear. In this study, we investigated the roles of the receptors ACE2 and DPP4 in the SARS-CoV-2 infection of the discrete cellular components of a transwell BBB model comprising HUVECs, astrocytes, and pericytes. Our results demonstrate that direct infection on the BBB model does not modulate paracellular permeability. Also, our results show that SARS-CoV-2 utilizes clathrin and caveolin-mediated endocytosis to traverse the BBB, resulting in the direct infection of the brain side of the BBB model with a minimal endothelial infection. In conclusion, the BBB is susceptible to SARS-CoV-2 infection in multiple ways, including the direct infection of endothelium, astrocytes, and pericytes involving ACE2 and/or DPP4 and the blood-to-brain transcytosis, which is an event that does not require the presence of host receptors.
Innate and Adaptive Immune Parameters following mRNA Vaccination in Mice
Authors: Bonam Srinivasa Reddy , Hazell Nicholas C. , Mathew Mano Joseph , Liang Yuejin , Zhang Xuxiang , Wei Zhi , Alameh Mohamad-Gabriel , Weissman Drew , Hu Haitao
Published: May 2024

The COVID-19 pandemic has raised the standard regarding the current vaccine development pace, as several messenger RNA (mRNA)-lipid nanoparticle (LNP) vaccines have proved their ability to induce strong immunogenicity and protective efficacy. We developed 1-methylpseudouridine-containing mRNA-LNP vaccines, expressing either the more conserved SARS-CoV-2 nucleoprotein (mRNA-N) or spike protein (mRNA-S), both based on the prototypic viral sequences. When combining both mRNA-S and mRNA-N together (mRNA-S+N), the vaccine showed high immunogenicity and broad protection against different SARS-CoV-2 variants, including wildtype, Delta, BA.1, BA.5, and BQ.1. To better understand the mechanisms behind this broad protection obtained by mRNA-S+N, we analyzed innate and adaptive immune parameters following vaccination in mice. Compared to either mRNA-S or mRNA-N alone, mice vaccinated with mRNA-S+N exhibited an increase in the innate immune response, as depicted by the higher cytokine (IL-6 and chemokine (MCP-1) levels. In addition, lymph node immunophenotyping showed the maturation and activation of dendritic cells and natural killer cells, respectively. To understand the adaptive immune response, RNA-Seq analyses of the lung and spleen samples of the vaccinated mice were performed in parallel and revealed a stronger immune gene-expression profile in the lung than that in the spleen. Compared to mRNA-S alone, mRNA-S+N vaccination elicited higher levels of expression for genes involved in multiple immune pathways, including T cells, cytokine signaling, antigen presentation, B cells, and innate immunity. Together, our studies provide immunological insights into the mechanisms of broad protection conferred by dual mRNA vaccination against SARS-CoV-2 variants.
A Variational Mode Decomposition Analysis and Prediction Simulation of DO in the Water Environment of the Chengdu Area, China
Authors: Li Mei , Wang Deke , Xu Rui , Chen Kexing
Published: May 2024

DO is an important index to characterize environmental water quality. The time series fluctuation of DO can be analyzed via frequency band decomposition, which is very valuable for water quality simulations. In this paper, DO in the Chengdu area of China was studied using variational mode decomposition with daily meteorological data and water quality data from 2020 to 2022. After variable decomposition, the DO data were first decomposed into different frequency band signals named IMF1, IMF2, IMF3, IMF4, and IMF5. IMF1 represented the low-frequency signal with long-term trend characteristics of the data. IMF2 to IMF5 represented the high-frequency signal with short-term mutation characteristics of the data. By combining the variable decomposition results with the correlation analysis, it was found that the long-term trend characteristics of DO are affected by the superposition of meteorological factors, hydrological factors, and water pollution factors but have a weak correlation with any single determining factor. The air temperature, water temperature, phosphorus, air pressure, pH value, chemical oxygen demand, and nitrogen were relatively strongly correlated with the long-term trend characteristics of DO. The short-term mutation characteristics of DO were mainly determined using the characteristics of the water body itself, while the influence of the meteorological factors could basically be ignored. The water temperature, pH value, and eutrophication were the biggest influencing factors. Then, a predictive framework combining frequency division with a deep learning model or a machine learning model was constructed to predict DO. The predicted results of GRU, random forest, and XGBoost with and without the framework were compared. It was shown that, after removing the interference factors with correlations less than 0.3, the predicted value of DO was much closer to the actual value. The XGBoost and random forest models with decomposed signals had a high degree of simulation fitting and could be used to predict DO in the Chengdu area. The above research approach can be applied to further explore the prediction of various pollution factors in different areas of China.
Plastic and Micro/Nanoplastic Pollution in Sub-Saharan Africa: Challenges, Impacts, and Solutions
Authors: Dube Edith , Okuthe Grace Emily
Published: May 2024

Sub-Saharan Africa faces increasing levels of plastic production and importation, unregulated usage, and inadequate waste management systems. This region’s harsh conditions often lead to plastic breaking down into microplastics and nanoplastics. This review explores the abundance of micro/nanoplastics across different environmental mediums, such as surface waters, sediments, and aquatic organisms, in sub-Saharan African countries. It also highlights knowledge gaps concerning the region’s abundance of micro/nanoplastics. The effects of plastics and micro/nanoplastics on food production, water quality, health, and the environment are discussed. Strategies to address the challenges of plastic pollution are proposed. Finally, the review concludes with future perspectives for addressing the ongoing challenges of plastic waste management in sub-Saharan Africa. The materials for this study were sourced from published articles on Scopus, Google Scholar, ResearchGate, and additional platforms, including reports and various press releases, using keywords such as plastic waste, micro/nano-plastic, sub-Saharan Africa, toxicity, and circular economy. Articles were initially screened by reviewing abstracts, followed by a thorough reading of full papers to identify relevant studies. Key information was extracted from these selected articles and incorporated into this review.
Language education, digital citizenship, and Juri Lotman’s semiosphere
Authors: Constantinidou Despina Alexandra
Published: May 2024

The present paper explores the use of language teaching for educating students into becoming digitally-literate citizens, as well as conscious, active members of the digital universe. The material discussed derives from the eLang project, a flagship project of the European Centre for Modern Languages. The guidelines, and real-world and reflexive tasks put together by the eLang team of experts, along with the theoretical framework employed are examined with respect to the notion of semiosphere by Juri M. Lotman, and the way this endorses digital transformation in language education. Seen, thus, as partaking in the digital semiosphere, and at the same time in the multiplicity of the semiotic systems ingrained in it, the current language student and future citizen assumes different roles, interacts with distinct as well as overlapping communities, is asked to make sense of multimodal resources, so as to eventually acquire far more than the skills of a digital user. The eLang material addresses, in this way, the demand for training language students in the multifarious literacies that digital literacy has come to encompass. The language student overrides, thus, classroom topography and the boundaries of conventional language education, and traces those of the globalised digital semiosphere, within which it cannot but soar.
Assessment of the characteristics of professional protective equipment, monitoring compliance with professional safety rules by nursing staff
Authors:   FSBEI of HE «Samara State Medical University» of the Ministry of Healthcare of Russia, Atamanchuk O. N.
Published: May 2024

Health system are more than three million working now, thousands of treatmentand- prophylactic, pharmaceutical, sanitary and epidemiologic institutions, tens research institutes, centers, highest and average educational institutions at which various household and communication equipment is operated, various medical equipment, are used toxic agents and aggressive liquids. In harmful and adverse working conditions hundreds of thousands workers of health care, including average health workers are occupied. Questions of professional safety of nursing staff on a workplace define a level of quality of labor life of experts and are the most important indicator of quality of the provided medical care. In this regard there is actual a question of means of professional protection of average health workers and observance of rules of professional safety by them.
The use of an exoskeleton in the comprehensive rehabilitation of patients with impaired motor activity
Authors:   FSBEI HE Bashkir State Medical University of the Ministry of Health of the Russian Federation, Ufa, Gilmutdinova L. T. , Faizova E. R. ,   FSBEI HE Bashkir State Medical University of the Ministry of Health of the Russian Federation, Ufa, Gilmutdinov B. R. ,   FSBEI HE Bashkir State Medical University of the Ministry of Health of the Russian Federation, Ufa, Iseeva D. R. ,   FSBEI HE Bashkir State Medical University of the Ministry of Health of the Russian Federation, Ufa, Lugovaya D. A. ,   FSBEI HE Bashkir State Medical University of the Ministry of Health of the Russian Federation, Ufa, Faizova D. E. ,   FSBEI HE Bashkir State Medical University of the Ministry of Health of the Russian Federation, Ufa
Published: May 2024

Abstract. Purpose of the study: to evaluate the effectiveness of comprehensive rehabilitation of patients with impaired mobility using the E-Helper exoskeleton and a treadmill in a day hospital. Materials and methods. The study involved 42 patients with mobility impairments who underwent the third stage of medical rehabilitation in the day hospital at the Republican Medical and Physical Education Center, Ufa. The study participants were divided into two equal groups, comparable in terms of the main studied indicators. The patients in the control group (CG, n = 21) received a basic complex consisting of therapeutic exercises, mechanotherapy using the FISITEK 2000TS device, magnetic therapy from the ALIMP-1 device, and sessions with a psychologist. The patients of the study group (SG, n = 21) were additionally prescribed exercises on the exoskeleton and a treadmill for 30 minutes daily, 10 procedures per course. To analyze the effectiveness of rehabilitation, we used the modified Rankin scale and the Visual Analogue Scale (VAS) for pain intensity; to assess the patient»s locomotor function, the Hauser Ambulation Index and the EQ-5D quality of life questionnaire were utilized at the start of the study and at the end of the rehabilitation course (after 14 days). Results. It has been found that the use of an exoskeleton in the patients of the study group contributes to a more significant improvement in locomotor function, a decrease in functional dependence on external assistance, and an improvement in the quality of life of patients with impaired mobility compared to the control group.
Rationale for the application of modern magnetotherapy technologies for dry eye syndrome, glaucoma and cataract
Authors:   FSBSI Petrovsky National Research Center of Surgery, Moscow, Egiаzarova A. G. , Raifeld A. K. ,   FSBSI Petrovsky National Research Center of Surgery, Moscow; FSBSI Research Institute of Eye Diseases, Moscow, Korchazhkina N. B. ,   FSBSI Petrovsky National Research Center of Surgery, Moscow;, Illarionov V. E. ,   FSBSI Petrovsky National Research Center of Surgery, Moscow;, Mikhailova A. A. ,   FSBSI Petrovsky National Research Center of Surgery, Moscow;, Elfimov M. A. ,   FSBSI Petrovsky National Research Center of Surgery, Moscow; FSBSI Research Institute of Eye Diseases, Moscow, Yamenskov V. V. ,   FSBSI Petrovsky National Research Center of Surgery, Moscow;, Pavlov V. A. ,   FSBI Main Military Clinical Hospital named after аcademician N. N. Burdenko of the Ministry of Defense of the Russian Federation, Moscow, Sheludchenko V. M. ,   FSBSI Research Institute of Eye Diseases, Moscow, Karpilova M. A. ,   FSBSI Research Institute of Eye Diseases, Moscow
Published: May 2024

Abstract. Purpose of the study. The article outlines the basic terms and concepts of information interactions of structures and systems of living organisms, provides a modern approach to the problems of optimizing medical rehabilitation through various methods of magnetic therapy, taking into account the biological effect and characteristics of the impact of various types of magnetic fields, and presents the pathogenetic conditionality of the use of magnetic techniques by means of the Ophthalmag device for the treatment of dry eye syndrome, glaucoma, and cataract.