bluuebunny/crossref_metadata_2025 huggingface dataset:
Loan Approval Prediction Improved by XGBoost Model Based on Four-Vector Optimization Algorithm
Authors: Yu Keke , Xia Siwei , Zhang Yitian , Wang Shikai
Published: October 2024

This paper discusses an improved XGBoost model based on four-vector optimization algorithm to improve the accuracy of loan approval prediction. Through the analysis of correlation heat maps, we found that there were significant positive and negative correlations among some variables, which laid the foundation for subsequent machine learning analysis. Based on this, we compare the traditional machine learning algorithm with the improved model to evaluate its performance in loan approval forecasting. In the confusion matrix analysis of the training set, the improved XGBoost model demonstrated excellent performance, with all loan approval predictions being correct with 100% accuracy. However, the performance in the test set was slightly different, with 1,182 projects receiving correct loan approval predictions and 99 projects forecasting errors. Of these, 26 projects that should have been predicted to be "unapproved" were incorrectly labeled as "approved," while 73 projects that should have been predicted to be "approved" were incorrectly labeled as "unapproved." These results suggest that we still need to pay attention to the misjudgment of the model in practical application. By synthesizing all model evaluation indicators, we found that the improved XGBoost model based on the four-vector optimization algorithm has a higher accuracy in loan approval prediction than the traditional XGBoost model, with an increase of 1.5%. In addition, the other evaluation indicators also show a trend of significantly better than the traditional model. This study shows that the four-vector optimization algorithm can effectively improve the application effect of XGBoost model in the field of loan approval, and provide more accurate data support and decision-making basis for the financial industry. In the future, we will continue to explore the potential and application prospects of this algorithm in other fields.
Mitigating Acute Climate Change Threats to Reintroduced Migratory Northern Bald Ibises
Authors: Fritz Johannes , Unsoeld Markus , Goenner Bernhard , Kramer Regina , Siebert-Lang Lisbet , Wehner Helena
Published: October 2024

For the past 20 years, reintroduction efforts have been underway to reestablish a migratory population of Northern Bald Ibises (Geronticus eremita) in Central Europe, which now consists of more than 250 birds. They breed both north and south of the Alps and migrate to a common wintering ground in Tuscany. Recently, the start of autumn migration is increasingly delayed, which correlates with extended warm periods in autumn. Later in the year, however, the birds no longer find sufficient thermals to cross the Alps and remain in the northern Alpine foothills. In order to save their lives, we had to capture the affected birds before onset of winter, which is not a sustainable solution. A new approach to solving the problem is the establishment of a second migration route to a wintering area in Andalusia, Spain, connecting our population with a sedentary population there. The new migration route bypasses mountain barriers and allows the birds to reach the wintering grounds also later in the year. The modelling of a pan-European population will provide the birds with high ecological and spatial flexibility. Our project exemplifies the consequences of advancing global warming for animal populations and the associated challenges for conservation projects.
The Effect of rs80860411 Polymorphism on Fattening and Slaughter Traits in Pigs
Authors: Antonyk Anna , Terman Arkadiusz , Tyra Mirosław , Żak Grzegorz , Polasik Daniel , Kulig Hanna , Dybus Andrzej
Published: October 2024

The aim of the study was to analyze the association between single nucleotide polymorphism (SNP) rs80860411A>C located in the intergenic region of chromosome 13 (near the GALNT15 gene encoding Polypeptide N-Acetylgalactosaminyltransferase15, GALNTL2) and fat-tening and slaughter traits of pigs. The study was conducted on 426 individuals belonging to three breeds: Polish Landrace (n = 192), Polish Large White (n = 187) and Pulawska (n = 48). The rs80860411 genotypes were determined using the PCR-RFLP method. Association analysis was performed for each breed separately, as well as for the entire study group. The study showed that rs80860411A>C had a significant effect on fattening performance traits, as well as on several slaughter performance traits, including: width of the loin eye, loin and ham weights without skin and backfat and carcass meat content (P ≤ 0.01, P ≤ 0.05). The obtained results indicate that the studied SNP has the potential to be included in pig selection programs, thus potentially influencing the improvement of fat-tening and slaughter traits of different pig breeds.
What Matters for the Forest Resource Conservation Behavior of the Youth in Northern Uplands, Lao PDR?
Authors: Salimath Pone , Andoh Jewel , Lee Yohan , Chang Jae Bong
Published: October 2024

The government of Laos has made significant efforts to halt deforestation and promote forest conservation in the Northern Uplands of Laos. However, there is no comprehensive assessment of the initiatives and factors that influence youth involvement in forest resource conservation. Our goal was to find sustainable forest management practices and understand the factors affecting young people's behaviors related to forest conservation. We conducted our study in 3 districts, covering 15 villages. We used multiple regressions to identify the factors influencing sustainable forest management behaviors, involving 330 youths who were systematically and randomly selected to participate in structured interviews. Our results showed that conservation knowledge and recognition are associated with demographic and socioeconomic factors, especially education. Factors related to forest conservation recognition included the amount of information available, gender, monthly income, land ownership, and distance from the forest to home. Most households rely on forest products for their livelihoods. We found that higher levels of education provide people with more job opportunities, which improves their job status and quality of life. Community members who received relevant information were more forward-thinking in their forest management behaviors and willing to contribute to related activities. Providing essential information to young people can help improve sustainable forest management behaviors.
State-of-the-Art DC-DC Converters for Satellite Applications: A Comprehensive Review
Authors: Ravindran Reshma , Massoud Ahmed M.
Published: October 2024

Future manned and deep space missions require an Electrical Power System (EPS) that can deliver high power while overcoming challenges like weight and volume constraints and the harsh environment of space. To supply, store, and transmit power to various satellite subsystems, a variety of DC-DC converters are employed. The design specifications of DC-DC converters for various satellite applications are identified in this article, which also offers a state-of-the-art review of non-isolated, isolated, and integrated topologies. Foreseeing the future of electric propulsion, various electric sources for electric propulsion are contrasted, and converters for electric propulsion are studied. The chosen topologies are compared in terms of practical parameters like reliability, modularity, redundancy, efficiency, and power density. Application-wise comparisons of the topologies are also presented, along with details on how well they work with different kinds of satellites. The article also identifies the areas that are still unexplored for each application. In view of the identified research gaps, a generalized Modular Isolated Interleaved topology of a DC-DC converter is proposed for satellite applications, which is one of the articles’ unique contributions. The MATLAB simulation results of the proposed method, taking Cuk converter as an example for a total power of 5kW are presented. Findings indicate that adding more modules improves the system’s overall reliability, efficiency, and power density by lowering losses, semiconductor current stress, and component size. Such designs are easily adaptable to satellite applications, particularly at high power levels.
Mineralogy and, Major and Trace Elements Chemistry of Recent Sediments in Rivers Along the West Coast of India: Implications for Provenance and Chemical Weathering
Authors: Babu Sk Sai , Purnachandra Rao Venigalla , Mohan Mekala Ram
Published: October 2024

The sediments deposited at the lower reaches of 90 medium and minor rivers from 5 states along western India were analysed for mineralogy and, major and trace elements chemistry. Kaolinite followed by minor illite and gibbsite and traces of goethite and, smectite followed by minor kaolinite, illite and chlorite are characteristic of the clays from Archean-Proterozoic (A-P) terrain and Deccan Trap (DT) terrain, respectively. The sediments were depleted with Si, Ca, Mg, Na and K relative to that of Post Archean average Australian Shale. The SiO2/Al2O3 ratio suggests the sediments from A-P terrain resemble lateritic soils, while those from DT terrain are non-lateritic, chemically weathered soils. The weathering indices indicate intensely weathered and compositionally mature sediments from Kerala, Karnataka and Maharashtra and, intermediate to intensely weathered sediments from Goa and Gujarat. The sediments exhibit relatively high Th, U, La, Zr and Hf from A-P terrain and, high Sc, Cr, Co, Ni, V and Ga from DT terrain. The total trace element content (∑TE) was lower for the clay than silt fractions of sediments. The peak high ∑TE occur in the silt fraction of sediments from Kerala and Maharashtra. The Th/U and Rb/Sr ratios are controlled by the intensity of weathering and lithology of source rocks. The standard plots using trace elements reveal intermediate provenance between felsic and mafic source. Clay fractions from both terrains are more mafic implying mafic-component dominated sediments are transported to the adjacent Seas and Oceans. Therefore, it would be challenging to identify the clays transported from granitic terrain in the Oceans, using trace element chemistry.
Differences in the Impact of Left Ventricular Outflow Tract Obstruction on Intraventricular Pressure Gradient in Feline Hypertrophic Cardiomyopathy
Authors: Hirose Miki , Watanabe Momoko , Takeuchi Aki , Yokoi Aimi , Terai Kazuyuki , Matsuura Katsuhiro , Takahashi Ken , Tanaka Ryou
Published: October 2024

Hypertrophic cardiomyopathy (HCM) is a common form of cardiomyopathy in cats, and heart failure occurs as diastolic dysfunction progresses.
HCM in cats is broadly classified as non-obstructive and obstructive hypertrophic cardiomyopathy, depending on the presence or absence of outflow tract obstruction. Measurement of the intraventricular pressure differences (IVPD) using Color M-mode (CMM) has attracted attention as a reliable diastolic index as it correlates with catheterization, the gold standard for assessment of diastolic performance. Since, IVPD is affected by the size of the heart, the intraventricular pressure gradient (IVPG) index, which is unaffected by heart size, is used by dividing IVPD be LV length. In the present study, CMM IVPG was used to non-invasively assess diastolic impairment in cats with obstructive hypertrophic cardiomyopathy. This study was conducted on ten control cats and 18 cats in the HCM group. Although no severe left atrial enlargement was observed in the HCM group, the Basal IVPG was significantly increased in the HOCM group compared to the control group. While IVPD typically suggests impaired diastolic function and reduced ventricular compliance, the significant increase observed in the HOCM group compared to controls may suggest an indirect elevation in left atrial pressure, likely secondary to left ventricular outflow tract obstruction. The increase in IVPG in HOCM, as shown in this study, is a pathological effect of left ventricular outflow tract obstruction that cannot be detected by conventional echocardiographic indices, and evaluating IVPG is useful for evaluating cardiac function from a different perspective than conventional methods.
Enterprise Architecture and Agile Approach for Digital Transformation: An Integrated Analysis Approach Using Bibliometric and Content Analysis
Authors: Emin Muhaemin , Budiardjo Eko K. , Santoso Harry Budi
Published: October 2024

Enterprise Architecture (EA) development with an Agile approach is believed to be an alternative solution to various current EA development challenges. Agile Enterprise Architecture (EA) is an EA development that applies Agile principles and focuses on collaborative and incremental de-velopment, adaptation, and sharing information about business and IT modes to guide the ef-fective implementation of Agile projects. There have been many discussions of literature related to EA management, but literature review studies that specifically describe Adaptive or Agile EA management are still rare. The research method of this study follows two consecutive phases: bibliometric analysis and content based analysis. First, bibliometric analysis utilizing the VOSviewer software to identify the state of the field and global research patterns in Agile EA from 2012 to 2023, including author and institutional distributions, frequent categories and keywords, contributions from journals and authors, and highly cited works. Next, thematic analysis and meta-analysis to reveal various frameworks or models used in agile EA implementation and its dimensions. The extracted bibliometric and content data from 59 selected articles were processed using the VOSviewer tool for identifying and understanding the relationships between main concepts through network mapping. There are several Agile-based EA frameworks based on empirical research found in EA development, such as Adaptive Enterpise Architecture, Adaptive Integrated Digital Architecture Framework (AIDAF), Lean Enterprise Architecture Frameowrk (LEAF), Scrum for EA, and several other Agile EA frameworks developed that have been ob-served. Various agile methods have been adopted in developing the agile EA framework, in-cluding its application in various industrial sectors in several countries, the risks faced and future research opportunities to increase the effectiveness of agile EA implementation in Digital Transformation.
Challenges Disclosure of Environmental Accounting Performance and its Impact on Supply Chains and Sustainable Development of Companies - Experiences of Some Companies in the (GCC) Countries - 2024
Authors: Abubakr Ayman Abdalla Mohammed , Juma Mastora Sahal , Mohammed Ali Alhag Ali , Azam Nosiba , Mohammed Fatihelelah Mohammed Ahmed
Published: October 2024

In response to the growing environmental concerns and sustainability imperatives in the (GCC) and the world in general, companies are increasingly being urged to integrate environmental accountability into their core strategies and operations by accounting for environmental performance in their financial statements and the impact on supply chains and sustainable development. The problem of the study is to identify the impact of environmental accounting disclosure challenges on supply chains and sustainable development in companies. By taking the experiments of 20 companies and representatives of the study community interested in the topic, and using the heuristic research approach through the questionnaire tool and a set of key variables, including the adoption of disclosure on environmental accounting performance (DEAP), supply chain sustainability performance(SP), Sustainable Development Index(SD), and using the (PLS) program, in the statistical analysis, the study reached the most important results: The study revealed a positive relationship between the disclosure of environmental accounting performance, improved supply chains and sustainable development in the companies represented by the study sample in the (GCC), where both financial performance and environmental performance contribute to achieving the Sustainable Development Goals and supply chains. Accordingly, the study recommends many recommendations, the most important of which are: the need for companies to be encouraged to disclose the performance of environmental accounting as a strategic necessity, promote more sustainable supply chain management, improve financial performance, and effectively contribute to achieving the Sustainable Development Goals, thereby enhancing sustainability within companies and across supply chains, the study also recommends the need to continue studies in this aspect, especially in the (GCC) and East Asian countries, to urge companies to disclose the performance of environmental accounting in their financial statements.
The Effect of Cyber-Ostracism on Social Anxiety among Undergraduates: The Mediating Effects of Rejection Sensitivity and Rumination
Authors: Shi Chun , Sun Peizhen , Shi Jiaru , Ye Haosheng
Published: October 2024

To examine the relation between cyber-ostracism and social anxiety among undergraduate, and to investigate the underlying mechanism of effects of cyber-ostracism, rejection sensitivity and rumination on social anxiety. A total of 864 undergraduates were investigated by Cyber-Ostracism Questionnaire, Chinese version of Interaction Anxiousness Scale, Chinese version of Rejection Sensitivity Questionnaire and Chinese version of Ruminative Responses Scale. The results showed that (1) Cyber-ostracism had a positive effect on social anxiety; (2) Cyber-ostracism directly influenced social anxiety. Meanwhile, cyber-ostracism had indirect effects on social anxiety via rejection sensitivity and rumination respectively. Additionally, cyber-ostracism also had indirect effects on social anxiety by the chain-mediating effects of rejection sensitivity and rumination. Analysis of the research results indicates that rejection sensitivity and rumination may play mediating role in the relationship between cyber-ostracism and social anxiety.
Positive Carbon Building Methodology in Co-Design with Residents
Authors: Beu Dorin , Pacchiana Alessio , Rastei Elena , Albu Horaţiu , Contolencu Theodor
Published: October 2024

The present article outlines the Positive Carbon Building certification's pioneering approach, aiming to establish a clear and rigorous methodology for buildings that are not only neutral in their environmental impact but are net positive. This certification challenges the industry by setting a higher bar — achieving net positivity. The approach does not just mitigate harm but actively contributes to environmental regeneration, thereby pushing the construction and real estate sectors towards innovative practices and collaborations. It calls for a reevaluation of how buildings are designed, constructed, and operated, encouraging the incorporation of renewable energy sources, energy-efficient designs, and materials with lower embodied carbon. This ambition signifies a move towards structures that produce more energy than they consume annually, thereby offering a surplus to the energy grid and reducing their carbon footprint comprehensively. This certification intends to work in conjunction with existing green building certifications, emphasizing net-positive energy production and ensuring alignment with both European and national legislations concerning nearly Zero Energy Buildings (nZEB) [1]. Traditionally, the focus has been on minimizing the negative environmental impacts of buildings, but the methodology for Positive Building Certification will mark a significant shift in the conceptualization of green building standards.
The Impact of Ultra-Low Temperature Quenching Treatment on the Pore Structure of Natural Quartz Sand
Authors: Guo Yu , Cheng Nianshou , Ding Ran , Chen Junhua , Shu Lingxiu , Xu Wei , Shi Guoliang
Published: October 2024

The effective removal of impurities from natural quartz is a very challenging subject, but there is no relevant study on the mesoscopic structure of quartz sand particles, and there is still a lack of direct evidence on the structure-activity relationship between mesoscopic structure and purification effect. In this paper, the effects of calcination temperature, calcination time, quenching frequency and grinding frequency on the formation of mesoscopic fractures in natural quartz sand were studied, and a linear regression model was established by fractal and differential methods. The results show that the cracked structure of quartz sand and its variation law have remarkable fractal characteristics, and thermal expansion and phase transformation are the main factors affecting the cracked structure and specific surface area of quartz sand. The non-phase change thermal expansion results in the formation of semi-closed wedge-shaped fractures in the open fractures of quartz sand, resulting in a significant decrease in the specific surface area of the cracked sand. On the contrary, the phase change expansion is conducive to the generation of more Me10 mesoporous fractures and the increase of the specific surface area of cracked sand. In addition, thermal stress and mechanical force are more likely to form Me50 and Me10 mesoporous cracks, where the average proportion of Me50 is higher than 75%. Based on this, the linear regression model between the fractal dimension and the pore volume distribution, SBET is further established, and the correlation coefficient R2 is mostly above 96%. In addition to offering insightful findings for the investigation of the structure-activity relationship between the purification effect and the mesoscopic structure of quartz sand, this also establishes the groundwork for the advancement of high purification technology for natural quartz sand.
Exploring the 2-Part of Class Groups in Quadratic Fields Perspectives on the Cohen-Lenstra Conjectures
Authors: WANG YONG , Zhang Huili , Zhou Ying , Deng Haopeng , Li Lingyue
Published: October 2024

Cohen and Lenstra introduced conjectures concerning the distribution of class numbers in quadratic fields, though many of these conjectures remain unproven. This paper investigates the 2-part of class groups in imaginary quadratic fields and examines their alignment with the Cohen-Lenstra heuristics. We provide detailed proofs of key theorems related to ideal decompositions and modular homomorphisms, and we explore the distribution of class groups of imaginary quadratic fields. Our analysis includes constructing imaginary quadratic fields with prescribed 2-class groups and discussing the implications of these findings on the Cohen-Lenstra conjecture.
Uses of the Popov Stability Criterion for Analyzing Global Asymptotic Stability in Power System Dynamic Models
Authors: Ginzburg-Ganz Elinor , Belikov Juri , Katzir Liran , Levron Yoash
Published: October 2024

Stability studies remain a crucial aspect of power systems dynamic analysis, and are typically explored in three main categories: numerical methods, linearization techniques, or direct methods, which utilize Lyapunov energy functions. This paper belongs to the third category, and highlights the usefulness of the Popov stability criterion in the analysis of nonlinear power system models. The main advantage of this criterion is that it provides conditions for global asymptotic stability of an equilibrium point, for a nonlinear dynamic system. We show a general method to apply this stability criterion, and examine its uses in several specific applications and case-studies. The results are demonstrated by analyzing the stability of a system that includes a grid-connected storage device and a renewable energy source.
Travel Sales Problem: Evolutionary Algorithms and Complex Networks
Authors: Bucheli Victor Andres , Gaona Mauricio , Pabón Oswaldo Solarte
Published: October 2024

This article examines the impact of network degree distribution on the performance of evolutionary algorithms, specifically in solving the Traveling Salesperson Problem (TSP). It evaluates the integration of various network types to regulate population crossovers, enhancing candidate solutions and their refinement over generations. The experimental analysis includes complex networks like Erdős–Rényi and Barabási–Albert, along with regular graphs such as Balanced trees and Harary graphs. The study focuses on how different network structures influence exploration, convergence, and computational efficiency, particularly in terms of CPU time. Results show that highly connected networks, like Barabási–Albert, facilitate faster convergence and improved solution quality by guiding the search process more effectively. The Harary graph with k=2 demonstrated superior performance, reducing execution times by up to sevenfold compared to traditional approaches. This improvement highlights the advantages of specific degree distributions in balancing exploration and exploitation. Networks with hubs, such as Barabási–Albert, accelerate information flow and the evolutionary process, while more regular networks, like Harary graphs, provide controlled structures that maintain high solution quality. These findings emphasize the importance of network topology in evolutionary algorithms and suggest further exploration of hybrid models and other network types to optimize NP-hard problems.
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
Authors: Meng Shuchen , Chen Andi , Wang Chihang , Zheng Mengyao , Wu Fangyu , Chen Xupeng , Ni Haowei , Li Panfeng
Published: October 2024

Accurate exchange rate prediction is fundamental to financial stability and international trade, positioning it as a critical focus in economic and financial research. Traditional forecasting models often falter when addressing the inherent complexities and non-linearities of exchange rate data. This study explores the application of advanced deep learning models, including LSTM, CNN, and transformer-based architectures, to enhance the predictive accuracy of the RMB/USD exchange rate. Utilizing 40 features across 6 categories, the analysis identifies TSMixer as the most effective model for this task. A rigorous feature selection process emphasizes the inclusion of key economic indicators, such as China-U.S. trade volumes and exchange rates of other major currencies like the euro-RMB and yen-dollar pairs. The integration of grad-CAM visualization techniques further enhances model interpretability, allowing for clearer identification of the most influential features and bolstering the credibility of the predictions. These findings underscore the pivotal role of fundamental economic data in exchange rate forecasting and highlight the substantial potential of machine learning models to deliver more accurate and reliable predictions, thereby serving as a valuable tool for financial analysis and decision-making.
A Blockchain Approach for the Organic Food Supply Chain
Authors: Riouali Youness , Rabhi Ayoub
Published: October 2024

This paper proposes a novel blockchain-based system designed to revolutionize transparency, traceability, and reliability within the organic food supply chain. Addressing persistent challenges such as certification fraud, opaque supply chains, and the high costs associated with organic food production, stakeholders including farmers, processors, distributors, retailers, and consumers stand to benefit from the system’s innovative approach. By leveraging blockchain technology and a robust system architecture, the proposed system offers enhanced transparency, improved traceability, and streamlined certification processes. Through detailed exploration of key components such as user interfaces, smart contracts, consensus mechanisms, IoT integration, and governance frameworks, the paper illustrates the practical application of blockchain technology in improving transparency and traceability throughout the food supply chain. A case study focusing on the organic Tofu supply chain further demonstrates the system’s potential to enhance sustainability, efficiency, and integrity in organic food production and distribution networks. The paper concludes by discussing potential implementation challenges and suggesting areas for future research and development to advance the impact of blockchain technology on the food supply chain.
Acute Alpha-Glycerylphosphorylcholine Supplementation Enhances Cognitive Performance in Healthy Men
Authors: Kerksick Chad M
Published: October 2024

Background: Choline is an essential nutrient required for proper cell functioning. Due to its status as a precursor to acetylcholine, an important neurotransmitter connected to cognition and neuromuscular function, maintaining or enhancing choline levels is of interest. Supplementation with alpha-glycerylphosphorycholine (A-GPC) can maintain choline levels, but its ability to offer support towards cognition remains an area of ongoing research.
Methods: Using a randomized, double-blind, placebo-controlled, crossover approach, 20 resistance-trained males (31.3 ± 11.0 years, 178.6 ± 7.3 cm, 84.6 ± 11.4 kg, 15.4 ± 5.6 % fat) consumed either a placebo (PL), 630 mg A-GPC (HD), or 315 mg (LD) A-GPC (GeniusPure™, NNB Nutrition). After resting hemodynamic assessments, participants took their assigned dose and had cognitive assessments (Stroop, N-Back, and Flanker), visual analog scales, and hemodynamics evaluated 60 minutes after ingestion. All participants then warmed-up and completed vertical jumps and bench press throws before completing a bout of lower-body resistance exercise (6 x 10 repetitions using the Smith squat at a load of 70% 1RM). Venous blood was collected 5, 15, 30, and 60 minutes after completion of the squat protocol to evaluate changes in growth hormone and follow-up visual analog scales and cognitive measurements were evaluated 30 minutes after completing the exercise bout.
Results: When compared to PL, changes in Stroop total score were statistically greater after HD (13.0 ± 8.2 vs. 5.2 ± 9.0, p = 0.013, d = 0.61) and LD (10.8 ± 7.7 vs. 5.2 ± 9.0, p = 0.046, d = 0.48) administration in addition to significantly faster times in completing the Stroop test in the HD group when compared to PL (-0.12 ± 0.09s vs. -0.05 ± 0.09s, p = 0.021, d = 0.56). No significant differences between groups were found for the Flanker and N-Back assessments while a tendency was observed for HD to have faster reaction times when compared to PL during the Flanker test. No groups differences were realized for visual analog scales, physical performance, or growth hormone. Statistically significant changes in heart rate and blood pressure were observed in all groups, with all recorded values aligning within clinically accepted normative values.

Conclusions: HD and LD A-GPC supplementation significantly increased cognitive performance in a group of young, healthy males as measured by changes in the Stroop Total Score and completion time of the Stroop test. These results extend the previously published research which indicated that A-GPC can augment cognition in clinical populations to healthy individuals undergoing acute exercise stress.
Eco-Epidemiological Model of Predator-Prey with Two-Strain Infections: The Impact of Herd Behavior
Authors: Jain Sanskriti , Dubey Balram , Zheng Qian Qian , Pandey Vikas , Mathur Pankaj
Published: October 2024

This study presents an eco-epidemiological model exploring a prey population infected by two distinct pathogen strains in the presence of an unaffected predator population. The model investigates how prey herding behavior provides protection against predation under multi-strain infections. A well-posedness and boundedness analysis of the populations ensures the robustness of the model. Linear stability analysis reveals that, under specific herd shapes and predator mortality rates, prey infected with either strain can vanish. Bifurcation analysis uncovers critical dynamics: a supercritical Hopf bifurcation occurs at a threshold prey herd shape (k), indicating the onset of stable oscillatory population cycles. As predator mortality (δ) varies, both subcritical and supercritical Hopf bifurcations emerge, marking shifts between stable and unstable dynamics, potentially leading to prey extinction or sharp population collapses. The analysis further identifies a Generalized Hopf bifurcation, distinguishing between predictable cycles and more complex. Numerical simulations confirm these findings, offering insights into predator-prey dynamics in ecosystems subject to multi-strain infections. The results have potential implications for understanding disease control, population stability, and ecological resilience.
Probing the Cardinality of Space with a Computer
Authors: Bolotin Arkady
Published: October 2024

A straightforward way to avoid the problem of the infinite zero-point energy principally is to negate the axiom of infinity of Zermelo-Fraenkel set theory. However, in so doing the real numbers and, as a corollary, the concept of infinitesimals would be given up making mathematical analysis, as it is known today, impossible. That said, consider a set whose members uniquely index points comprising a region of space. Providing four binary operations and their properties are defined on an index set, it is a field. The present paper demonstrates that to find the characteristic of an index field of the space of the observable universe is computationally intractable. Accordingly, such field cannot be distinguished from that of characteristic zero in any way possible. Meaning that one can negate the axiom of infinity and still use the real numbers inside the space of the observable universe for all intents and purposes.
Bioactivity, Efficacy, and Safety of a Wound Healing Ointment with Medicinal Plant Bioactives: In Vitro and In Vivo Preclinical Evaluations
Authors: Floriano Juliana , Rodrigues Daniel , Ohara Rie , Almeida Nara , Soares Vanessa , Sartorelli Patricia , Graeff Carlos , Grecco Simone , González Alejandra , D'Alpino Paulo
Published: October 2024

Chronic wounds have a significant impact on patients' quality of life, necessitating the management of pain, infection, bleeding, and emotional challenges. Debridement, which involves the removal of nonviable tissue, is crucial for promoting wound healing. In addition to surgical methods, cost-effective alternatives such as local solutions and ointments with biological properties have been explored. The use of natural compounds with anti-inflammatory, antibacterial, and collagen-synthesizing abilities holds promise for wound healing. This study aimed to assess the safety and effectiveness of a wound-healing ointment containing bioactive ingredients derived from medicinal plants (extracts, essential oils, and vegetable oils). Pre-clinical tests were conducted following standardized protocols. The chemical composition of the ointment was characterized using Fourier transform infrared (FTIR) spectroscopy to gain insights into its synergistic action. FTIR analysis revealed similarities between the product's spectrum and that of bioactive compounds. The in vitro tests demonstrated that all formulations of the ointment induced no cell death, DNA damage, or acute toxicity in cell cultures. No lethal dose was observed, indicating the safety of the ointment at all concentrations. In vivo preclinical analyses demonstrated no adverse responses being effective in the healing process, similar to the gold standard (Silver Sulfadiazine). The regenerative ointment displayed excellent biocompatibility and bioactivity in vitro and in vivo studies, contributing to the development of innovative and sustainable wound management therapies.
Athletes and Iron - Challenges and Future of Sports Nutrition
Authors: Takahashi Ryunosuke , Hata Katsuhiko , Okamura Koji , Fujii Takako
Published: October 2024

One of the most common nutritional problems in athletes is iron deficiency. Although a lot of research has been done, the problem is still not solved. It is believed that iron deficiency is basically a lack of iron intake due to low dietary intake. Therefore, athletes who are found to be iron deficient are required to increase their iron intake (supplementation or intravenous administration). However, there are many supplements available on the market today, and if the problem is simply a lack of iron intake, it is a nutritional problem that should have been solved. In other words, there are reasons why the problem cannot be solved by simply taking iron, and it is important to conduct further research on the relationship between iron status and physical activity in the future.
　In this paper, we summarize our recent research, focusing on the studies we have done so far.
Vibrational Markers of Circulating Metastatic Cells LLC-R9
Authors: Gnatyuk Olena Petrivna , Kolesnyk Denys Leonidovych , Voitsitskyi Taras , Karakhim Sergiy Olexandrovych , Nikolenko Andrii , Dementjev Andrej S. , Solyanik Galina Ivanivna , Dovbeshko Galina Ivanivna
Published: October 2024

Metastasis in oncological diseases remains one of the main reasons for negative prognosis regarding treatment. Any new data on the biophysical and biochemical characteristics of circulating metastatic cells will help to develop the concept of antimetastatic therapy. In this study we found a number of differences in spectroscopic and morphological features of circulating metastatic cells. FTIR and Raman spectra of cultivated by adhesive and de-adhesive methods (last as a model for metastatic cells) have showed spectroscopic features, namely in FTIR in the region of CH - stretching vibrations associated with structural rearrangements in the cell membrane, as well as changes in the intensity and position of the PO2- group vibrations bands correlated with a proliferative activity. The spectral features in the regions of OH stretching and Amid I vibrations and other spectral markers of the metastatic cells under different cultivation conditions were derived. Raman spectra showed redistribution of amino acid Tyr/Trp ratio and in Tyr duplet intensity in the region of 500-900 cm-1 , as well different glycogen level in different cells. The spectroscopic markers are in the accordance with biochemical data. CARS and confocal optical microscopy were applied for determination a state of the cells and F-actin expression level that turned out to be higher for adhesive cells in comparison with de-adhesive cells. Shape and morphological property of the cells drastically differs. The correlation of vibrational markers with biochemical data and cytofluorometric method were discussed.
Recombinant Production and Functional Characterization of Andes Virus Gn and Gc in Pichia pastoris: A Path Towards Subunit Vaccine Development
Authors: Starck Maria Francisca , Campillay Claudia Paola , Jerez Monsalves Belen B.A. , Reyes Fátima , Camacho-Casanova Frank , Acosta Alba Jannel , Montesino Seguí Raquel , Maura Rafael , Ramos-Martínez Fernando J. , Toledo Jorge R. , Sánchez Ramos Oliberto
Published: October 2024

Hantavirus Pulmonary Syndrome (HPS), caused by the Andes virus (ANDV), is a significant public health concern in South America, with no available vaccines or specific treatments. Neutralizing antibodies targeting ANDV glycoproteins Gn and Gc have shown protective effects in animal models, making them promising vaccine candidates. This study reports the recombinant expression, purification, and immunogenicity evaluation of sGn and sGc glycoproteins produced in the methylotrophic yeast Pichia pastoris. Initially, sGn was expressed as a secretable protein, but it formed aggregates once accumulated in the culture medium. To address this, the same strain was transformed with a vector expressing Gc, based on the hypothesis that Gn folding depends on Gc presence. However, co-expression of Gn and Gc in Pichia resulted in both proteins becoming trapped as insoluble aggregates inside the yeast, resembling inclusion bodies seen in E. coli. The recombinant proteins were solubilized and purified using metal ion affinity chromatography, followed by a refolding step before being used for immunization. The purified sGn and sGc antigens, formulated with aluminum hydroxide (AlOH), were tested in Syrian hamsters. The immunization results showed that the sGn-sGc formulation induced a strong Th1-biased immune response, characterized by high levels of IFN-γ, IL-12, and IL-6 cytokines, along with a specific antibody response against both Gn and Gc, with titers exceeding 1:10,000. These findings suggest the potential of these antigens as promising candidates for a subunit vaccine against HPS.
Influence of Chemical, Morphological, Spectroscopic and Calorimetric Properties of Agroindustrial Waste Cellulose on Drainage Behavior in SMA Asphalt Mixtures
Authors: Cabello-Suárez Laura Yessenia , Hernández José Anzaldo , Galaviz-González José Roberto , Avalos-Cueva David , Figueroa Ochoa Edgar Benjamín , Escobar Hernández Daniel , Gallardo-Sánchez Manuel Alberto , Limón-Covarrubias Pedro , Macías-Balleza Emma Rebeca
Published: October 2024

New asphalt mixtures have been improved by using fibers (polypropylene, polyester, asbestos, carbon, glass, nylon, lignin, coconut, sisal, recycled rubber, PET, wood, bamboo and cellulose), reducing the temperature and compaction energy for their collocation, minimizing the impact on the environment, increasing the tenacity and resistance to cracking of hot mix asphalt (HMA), preventing asphalt drainage in a Stone Mastic Asphalt (SMA). Hence, this paper aims to evaluate the influence of the chemical (lignin content, ash, viscosity, degree of polymerization and elemental analysis), morphological (SEM), spectroscopic (FTIR-ATR and XRD) and calorimetric (ATG and DSC) properties of celluloses from bagasse Agave tequilana Weber var. Azul (ABP), corrugated paperboard (CPB) and commercial cellulose fiber (CC) as Schellenberg drainage (D) inhibitors of the SMA. The ABP was obtained through a chemical process by alkaline cooking, while CPB by a mechanical refining process. The chemical, morphological, spectroscopic and calorimetric properties were similar among the analyzed celluloses, but CPB and ABP cellulose are excellent alternatives to CC cellulose for inhibiting drainage. However, CPB is the most effective at low concentrations. This is attributed to its morphology, which includes roughness, waviness, filament length, orientation and diameter, as well as its lignin content and crystallinity.
Refinement and Validation of the SPEARmetal Index for Assessing Ecological Impacts of Metal Contamination in the Nakdong River, South Korea
Authors: Hwang Dae-sik , Kim Jongwoo , Chung Jiwoong , Lee Jonghyeon
Published: October 2024

The SPEcies-At-Risk index for metals (SPEARmetal) was refined using updated physiological sensitivity data and validated to assess the ecological impact of metal contamination on benthic macroinvertebrate communities in the upper Nakdong River, near a Zn smelter in Korea. Biosurvey and chemical monitoring were collected at 18 sites surrounding the smelter and nearby mines. Acute ecotoxicity tests on 20 indigenous species from the Korean peninsula were conducted and used to update taxon-specific metal sensitivity data. The refined SPEARmetal index, based on this updated sensitivity, was significantly lower than previous versions, with most values below the severe impact threshold (0.5) in the mainstream. The correlation between hazard quotients in water and the SPEAR index improved, with the correlation coefficient increasing from 0.63 to 0.70. Despite consistently high benthic macroinvertebrate indices (BMI) across the study area, generic ecological indices such as total richness, EPT (Ephemeroptera, Plecoptera, Trichoptera), and Shannon diversity showed correlations with metal contamination levels. Principal component analysis identified SPEARmetal as the primary indicator associated with metal contamination in both water and sediment. These findings highlight the improved performance of the refined SPEARmetal index as a more sensitive and specific tool for assessing the ecological status of metal-impacted aquatic ecosystems compared to traditional indices.
Numerical Assessment of the Thermal Performance of Microchannels with Slip and Viscous Dissipation Effects
Authors: Vocale Pamela , Morini Gian Luca
Published: October 2024

In the present paper, a numerical analysis of the performance of microchannels featuring rectangular, trapezoidal, and double-trapezoidal cross-sections is presented. The fully developed laminar forced convection of a Newtonian fluid with constant properties is considered. The non-dimensional forms of governing equations are solved by setting slip velocity and uniform heat flux as boundary conditions. Model accuracy was established using the available scientific literature. The numerical results indicate that viscous dissipation effects led to a decrease in the average Nusselt number across all microchannels examined in this study. The degree of reduction is influenced by the cross-section, aspect ratio and Knudsen number. The lowest average Nusselt number values were observed under continuum flow conditions for all the microchannels investigated.
A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference
Authors: Kuti Jozsef , Piricz Tamás , Galambos Peter
Published: October 2024

This paper presents a novel method for evaluating the accuracy of orientation sensors commonly used in practical applications, utilizing measurements obtained from a commercial robotic manipulator as the reference instrumentation. The core concept of the method involves determining the rotational transformations between the robot's base frame and the sensor frame, as well as between the TCP (Tool Center Point) frame and the sensor frame, without requiring precise alignment. These transformations are assumed to be arbitrarily chosen, allowing the computation to rely solely on the logged TCP orientations and synchronized sensor measurements. The proposed approach enables systematic testing and evaluation of orientation sensing devices without necessitating exact measurement of the rotations between the sensor frame and the reference instrumentation. The method's effectiveness is demonstrated through the evaluation of an Inertial Navigation System module and the SLAM-IMU fusion capabilities of the HTC VIVE headset.
Longitudinal Investigation of Groundwater and Surface Water Interaction of Two Gravel Pit Lakes in Central Texas: Chemical and Flow Implications
Authors: Brewer William , Dawson Claudia , Yelderman Joe
Published: October 2024

Two gravel pit lakes in central Texas were examined over the course of two years with upgradient and downgradient piezometer installations. Groundwater and lake water were sampled bimonthly for nutrients, water levels, and groundwater chemistry, in addition, rain and lake gauges and mini-piezometers were installed, depth surveys were conducted, and a simple 2-D flow model was constructed. The project goal was evaluating and examining flow dynamics and chemical effects as groundwater flows to surface water and back to groundwater with the intent to understand the effects that gravel pit lake systems have on connected shallow groundwater. Both lake systems were shown to be flow-through systems that influence the water quality by decreasing the dissolved nutrients in the groundwater in their vicinity while oxygenating the water and altering the pH. However, the lakes are also prone to high levels of evaporation, rendering minor improvements to water quality at the cost of decreasing the quantity of water in storage within the aquifer. Similar groundwater and mine lake systems may show comparable tendencies, providing new information for water managers, regulators, and stake holders about the potential roles that non-remediated gravel pit lakes may play in local ecosystems and aquifer dynamics.