bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investimento em criptomoedas: Análise pela UTAUT com moderadores culturais
Authors: Castro Julyanne Lages de 
Published: July 2024

Contextualização: Os ativos de criptomoedas, conhecidos por seu alto risco, têm registrado um aumento significativo no número de usuários, impulsionado pela procura por novas formas de investimento e pela diversificação de portfólios. Esta pesquisa se propõe a explorar e avaliar os fatores que determinam a intenção e o comportamento de investimento em criptomoedas.
Objetivo: O objetivo principal do estudo é compreender os efeitos da intenção de investir em criptos usando uma teoria de comportamento, acrescentando ao modelo a moderação cultural no comportamento de investimento em criptomoedas.
Método: Pesquisa quantitativa que utiliza a Teoria Unificada da Aceitação e Uso da Tecnologia (UTAUT) como lente teórica, a pesquisa aplicou um questionário on-line e obteve 222 respostas válidas para análise, dados coletados de fevereiro a maio de 2021. A análise de dados partiu da modelagem de equações estruturais, com estimação pelo método partial least squares.
Resultados: Os resultados revelaram a contribuição que a UTAUT tem na intenção de investir em criptomoedas, e que as variáveis de expectativa de performance, influência social e condições facilitadoras afetam a intenção de se investir em criptos.
Conclusões: O nível de escolaridade, na amostra representada de maioria investidores propensos ao risco, foi fator significativo e moderador das variações no resultado do uso da UTAUT no contexto do comportamento de investidores em criptomoedas.
The effect of football heading on sidestep cutting biomechanics
Authors: Ademolu Grace Adebamiyo , Uiga Liis , Wood Greg , Daniels Kat 
Published: July 2024

Heading is an integral part of football, with ~20 headers or aerial duels executed per game to intercept, pass or score. However, concerns have recently been raised about the potential short and long-term health impacts of repeated heading. There is evidence suggesting increased risks of sub-concussive trauma – head impacts that do not result in obvious symptoms of concussion but affect cognition and motor function (Montenigro et al., 2017, J Neurotra, 34, 328-340). Repeated heading has been demonstrated to alter brain-muscle communication and affect movement control (Parr et al., 2023, Front Hu Neuro, 17, 1145700) and mechanics of simple tasks such as jumping (Lapointe et al., 2018, Int J Psychophys, 132, 93-98). However, whether these observed cognition and motor impairments translate to the biomechanics of complex multidirectional sport-specific movements such as sidestep cutting is not known. This is an important area to understand because sidestep cutting, an acute change of direction which is ubiquitous in football, is an important performance-determining factor and also a common inciting event for lower-limb injuries (Alentorn-Geli et al., 2009, Knee Sur Sports Trauma, Arth, 17, 705-729) such as the anterior cruciate ligament (ACL) rupture. Due to its propensity to generate high multiplanar knee joint loading during the stance phase of the manoeuvre (Dempsey et al., 2009, Am J Sports Med, 37, 2194-2200), there are often high stresses on the lower limbs which can result in musculoskeletal injury. To date, a copious number of studies have analysed the biomechanics of the sidestep cutting manoeuvre, showing that knee loading is sensitive to the constraints and strategies used to manoeuvre (Dos’Santos et al., 2019, Strength Cond J, 41, 40-54). Accordingly, this present study aims to determine whether there is an effect of repeated heading on sidestep-cutting biomechanics and, if so, the nature of this effect. Participants (n=40) will perform reactive and pre-planned sidestep cutting manoeuvres before completing 15 virtual (n=20) or physical (n=20) ball-heading. They will then repeat the cutting tasks immediately after the bout of heading. Whole-body optical motion capture, ground reaction forces, tri-planar lower-limb joint angles and moments during the stance phase will be analysed to test the effects of football heading on sidestep cutting biomechanics. Results may indicate whether exposure to football heading is a potential risk factor for lower-limb/ACL injury and thus inform the development of training sessions, athlete monitoring, and organisational/national heading guidance and policy for matches and training.
Motivations and Potential Solutions in Developing a Knowledge Management System for Organization at Higher Education: A Systematic Literature Review
Authors: Maharani Nandhita Zefania , Kurniawan Shabrina Salsabila , Sensuse Dana Indra , Eitiveni Imairi , Hidayat Deden Sumirat , Purwaningsih Erisva Hakiki 
Published: July 2024

Background: Amidst a rapidly evolving digital landscape that accelerates the flow of information, higher education institutions face the unique challenge of managing vast and dynamic knowledge resources. This research delves into the motivations and innovative solutions for developing Knowledge Management Systems (KMS), which is key to optimizing knowledge resource utilization and enhancing academic collaboration.
Objective: This research provides a comprehensive mapping of problems and solutions for developing university knowledge management systems based on previous research. Not only that, but the results of this study also suggest three future research studies that can be adopted.
Methods: This study used the Kitchenham systematic literature review method. The author uses literature in the form of journals and conference proceedings published from 2019 to 2023. Twenty-three articles were used for this study from 5 databases, such as ACM, ProQuest, Scopus, Taylor & Francis, and IEEE Xplore.
Results: This study reveals research trends in knowledge management systems within higher education, examining aspects such as country, data collection methods, research methodologies, and theoretical frameworks. The main problems motivating the development of KMS are identified and categorized based on the people, process, and technology framework. In overcoming these problems in the university business process, there are several alternative solutions, both in the form of requirements and systems. Thus, the results of this study seek to provide guidelines for future research to adopt alternative solutions from this research and develop KMS to provide new solutions.
Conclusion: This study advances knowledge about various trends, motivations, requirements, and system solutions to address KMS problems in higher education. The authors' research results can add valuable insights to improve our understanding of the development of KMS in universities in various countries. Future research can identify new potential in KMS in business processes currently running in a university with appropriate methodologies.

Keywords: Knowledge management system, higher education, systematic literature review, problem, solution
Long-term administration of SiO2 nanoparticles in drinking water with modern dietary habits induces liver steatosis in a mouse model
Authors: Ye Tzung Cheng , Chao Shu-Ju , Huang Chih-Pin , Mai Ru-Tsun 
Published: July 2024

Abstract

SiO2 nanoparticles (SNPs), which are abundant in water and are used for various applications, for example, as food additives and anticaking agents, are of growing concern because of their potential risk to human health. Research has reported low potential side effects in animal models treated with SNPs; however, a few in vivo studies have shown cause for concern. Presently, high-fat foods have changed our lives and increased the incidence rates of fatty liver, obesity, and overweight. This in vivo study was performed to evaluate the effects of SNPs in drinking water in concert with modern dietary habits. The research has reported that the presence of SNPs in drinking water with the consumption of a high-fat diet was associated with the accumulation of SNPs and triglycerides in liver tissue, elevated aspartate aminotransferase and alanine aminotransferase levels in serum, activation of fibrosis and inflammation, increased oxidative stress, and the development of liver steatosis. The results showed that the long-term effect of SNPs in drinking water might induce fatty liver in conditions of modern dietary habits. This study investigated the risk of exposure to SNPs with modern dietary habits and provided important experimental evidence for the safety evaluation of SNPs, especially in human health.
Enhancing Sustainability in Lithium-Ion Battery Direct Recycling: Water Electrolysis-induced Gas Separation and Dry Electrode Remanufacturing
Authors: Li Ju , Yang Fangzhou , Chen Xinlong , Qu Ge , Nie Quan , Liu Ganxiong , Wan Wang , Li Sa , Wang Chao , Wang Tanyuan , Huang Yunhui 
Published: July 2024

Abstract

Lithium-ion battery recycling is pivotal for resource conservation and environmental sustainability. Direct recycling, while offering a promising avenue for battery recovery with reduced waste compared to pyrometallurgy and hydrometallurgy, often involves intricate and long processes. This study introduces a novel and energy-efficient water electrolysis-induced gas separation approach, utilizing H2 or O2 microbubbles to efficiently separate electrode materials from current collectors. The process achieves 99.5% material recycling with metal impurities below 40 ppm within 35 seconds for LiFePO4 and 3 seconds for graphite at 10 mA h cm–2, and can be expedited at higher current density, with minimal energy consumption of 11 and 1.1 kJ (kg cell)⁻1. Moreover, this approach accommodates various electrode types, encompassing cathodes, and anodes from spent batteries or manufacturing scraps. Leveraging effective mixing of active materials and conductive agents, the recycled powders are directly refabricated into dry electrodes, showcasing electrochemical performances comparable to commercial counterparts. The elimination of N-methyl pyrrolidone (NMP) usage enhances environmental friendliness. An Everbatt analysis underscores a remarkable reduction in energy consumption and waste generation compared to industrial-adopted recycling methods. This approach is an efficient and sustainable solution for LIB recycling, ensuring environmental responsibility and high-quality materials production.
Comparisons of eDNA and traditional sampling methods for enhanced assessment of benthic macroinvertebrate diversity in lotic environments with spatially varying land use
Authors: BAE Mi-Jung , Chun Yung-Chul , Han Seung-Cheol , Kim Sun-Yu , Kim Eui-Jin 
Published: July 2024

Abstract

Environmental DNA (eDNA) metabarcoding is emerging as a beneficial tool for assessing benthic macroinvertebrate diversity due to its speed and simplicity of sampling. This study evaluates the effectiveness of eDNA, qualitative (kick or scoop net), and quantitative (Surber net) sampling methods in characterizing benthic macroinvertebrate diversity in lotic ecosystems. The samplings were conducted across eleven unique river sites, each showing diverse types of riparian land cover including forest, agricultural, and urban areas. We identified 114, 79, and 110 macroinvertebrate species, respectively, via qualitative, quantitative, and eDNA-based sampling methods. Venn diagram analysis revealed the complementary nature of these three methods, each detecting a unique array of taxa. Especially, eDNA sampling could detect rare species and identify the species which were difficult to classify into the lowest level based on eye-observation. Non-metric multidimensional scaling (NMDS) analysis showed differences in longitudinal gradients across survey sites, regardless of the sampling method employed. Notably, spatial autocorrelation analysis demonstrated that capture-based sampling methods (qualitative and quantitative) revealed both positive autocorrelation at shorter distances and negative autocorrelation at more distant sites, suggesting species gradient. However, eDNA sampling only showed a positive autocorrelation at shorter distances. Our findings validate the synergistic use of eDNA-based and traditional sampling methods, illustrating how their combined application provides a deeper and more nuanced understanding of benthic macroinvertebrate diversity in freshwater ecosystems. This comprehensive approach not only reveals hidden species and complex ecological patterns missed by single-method studies but also enhances spatial analysis capabilities, as evidenced by our spatial autocorrelation findings. These insights are crucial for developing effective biodiversity conservation strategies and ensuring sustainable management of aquatic resources.
Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Authors: Parente Leandro , Sloat Lindsey , Mesquita Vinicius , Consoli Davide , Stanimirova Radost , Hengl Tomislav , Bonannella Carmelo , Teles Nathália , Wheeler Ichsani , Ehrmann Steffen , Hunter Maria , Ferreira Laerte , Mattos Ana Paula , Oliveira Bernard , Meyer Carsten , Şahin Murat , Witjes Martijn , Fritz Steffen , Malek Žiga , Stolle Fred 
Published: July 2024

Abstract

The paper describes the production and evaluation of global grassland dynamics mapped annually for 2000-2022 at 30~m spatial resolution. The dataset showing the spatiotemporal distribution of cultivated and natural/semi-natural grassland classes was produced by using GLAD Landsat ARD-2 image archive, accompanied by climatic, landform and proximity covariates, spatiotemporal machine learning (per-class Random Forest) and over 2.3M reference samples (visually interpreted in Very High Resolution imagery). Custom probability thresholds (based on five-fold spatial cross-validation) were used to derive dominant class maps with balanced precision and recall values, 0.64 and 0.75 for cultivated and natural/semi-natural grassland, respectively. The produced maps (about 4~TB in size) are available under an open data license as Cloud-Optimized GeoTIFFs and as Google Earth Engine assets. The suggested uses of data include (1) integration with other compatible land cover products and (2) tracking the intensity and drivers of conversion of land to cultivated grasslands and from natural / semi-natural grasslands into other land use systems.
Grain boundary diffusion cannot explain the W isotope heterogeneities of the deep mantle
Authors: Peng Yihang , Yoshino Takashi , Deng Jie 
Published: July 2024

Abstract

The depletion of 182W associated with the enrichment of 3He in some ocean island basalts likely fed by deep-rooted mantle plumes may derive from the Earth's core through long-term core-mantle interactions. It has been proposed that the grain boundary diffusion of siderophile elements is an efficient mechanism for core-mantle interaction and may effectively modify the W isotopic compositions of the plume-source mantle. In this study, we perform large-scale molecular dynamics simulations driven by machine learning potentials of ab initio quality to investigate the diffusion of W along ferropericlase grain boundaries and in (Mg,Fe)O liquid. Our findings suggest that the diffusion of W is sluggish under core-mantle boundary conditions, and thus is unlikely to have observable impacts on the W isotopic compositions of terrestrial igneous rocks.
Eragrostis curvula cultivars improve bacterial diversity, extracellular enzyme activities, and nutrition in grassland ecosystem soils
Authors: Motsomane Nqobile , Magadlela Anathi 
Published: July 2024

Abstract

Eragrostis curvula has been studied extensively due to its primary use in pastures and potential utilisation as a food source, however the role of E. curvula cultivars in soil nutrient cycling in nutrient-poor grassland ecosystems is understudied. This study investigated the effects of E. curvula cultivars on soil bacterial communities, associated enzyme activities, and soil characteristics in soils collected in grassland ecosystems in Heidelberg, Gauteng, South Africa. Soil bacterial communities were isolated and identified in pre-planting soils and post E. curvula harvest. Over four months, soil characteristics and enzyme activities were determined for pre-planting and post E. curvula harvest. There was an increase in the bacteria isolated from post-harvest soils compared to pre-planting soils for both cultivars in all study sites. Soil growing the cultivars showed a significant increase in the nitrate reductase activity across all study sites. An increase in β-glucosidase in July was only observed in Agpal soils across all study sites. Soil N concentrations and pH increased in all post-harvest soils. Potassium and P concentrations in post-harvest soils were lower than in pre-panting soils for both cultivars. The principal component analysis revealed that the Ermelo cultivar uniformly influences the soil characteristics and extracellular enzyme activities in all study sites, while the Agpal cultivar had varying responses. This study’s findings highlight how E. curvula cultivars shift the microbial profile over time while increasing N and pH in grassland ecosystem soils.
109Pd/109mAg in-vivo generator in the form of nanoparticles for combined β- - Auger electron therapy of hepatocellular carcinoma
Authors: Gharibkandi Nasrin Abbasi , Wawrowicz Kamil , Walczak Rafał , Majkowska-Pilip Agnieszka , Wierzbicki Mateusz , Bilewicz Aleksander 
Published: July 2024

Abstract

Background
Convenient therapeutic protocols for hepatocellular carcinoma (HCC) are often ineffective due to late diagnosis and high tumor heterogeneity, leading to poor long-term outcomes. However, recently performed studies suggest that using nanostructures in liver cancer treatment may improve therapeutic effects. Inorganic nanoparticles represent a unique material which tend to accumulate in the liver when introduced in-vivo. Typically, this is a major drawback that prevents the therapeutic use of nanoparticles in medicine. However, in HCC tumours, this may be advantageous because nanoparticles may accumulate in the target organ, where the leaky vasculature of HCC causes their accumulation in tumour cells via the EPR effect. On the other hand, recent studies have shown that combining low- and high-LET radiation emitted from the same radionuclide, such as 161Tb, can increase the effectiveness of radionuclide therapy. Therefore, to improve the effectiveness of radionuclide therapy for hepatocellular carcinoma, we suggest utilizing radioactive palladium nanoparticles in the form of 109Pd/109mAg in-vivo generator that emits simultaneously β− particles and Auger electrons.
Results
Palladium nanoparticles with a size of 5 nm were synthesized using 109Pd produced through neutron irradiation of natural palladium or enriched 108Pd. Unlike the 109Pd-cyclam complex where the daughter radionuclide diffuses away from the molecules, 109mAg remains within the nanoparticles after the decay of 109Pd. In vitro cell studies using radioactive 109Pd nanoparticles revealed that the nanoparticles accumulated inside cells, reaching around 50% total uptake. The 109Pd-PEG nanoparticles exhibited high cytotoxicity, even at low levels of radioactivity (6.25 MBq/mL), resulting in almost complete cell death at 25 MBq/mL. This cytotoxic effect was significantly greater than that of PdNPs labeled with β− (131I) and Auger electron emitters (125I). The metabolic viability of HCC cells was found to be correlated with cell DNA DSBs. Also successful radioconjugate anticancer activity was observed in three-dimensional tumor spheroids, resulting in a significant treatment response.
Conclusion
The results obtained indicate that nanoparticles labeled with 109Pd can be effectively used for combined β− - Auger electron targeted radionuclide therapy of HCC. Due to the decay of both components (β− and Auger electrons), the 109Pd/109mAg in-vivo generator presents a unique potential in this field.
Artificial intelligence for system security assurance: A systematic literature review
Authors: Wen Shao-Fang , Shukla Ankur , Katt Basel 
Published: July 2024

Abstract

System Security Assurance (SSA) has emerged as a critical methodology for organizations to verify the trustworthiness of their systems by evaluating security measures against industry standards, legal requirements, and best practices to identify any weakness and demonstrate compliance. In recent years, the role of Artificial Intelligence (AI) in enhancing cybersecurity has received increased attention, with an increasing number of literature reviews highlighting its diverse applications. However, there remains a significant gap in comprehensive reviews that specifically address the integration of AI within SSA frameworks. This systematic literature review seeks to fill this research gap by assessing the current state of AI in SSA, identifying key areas where AI contributes to improve SSA processes, highlighting the limitations of current methodologies, and providing the guidance for future advancements in the field of AI-driven SSA.
Detecting Unknown Vulnerabilities in Smart Contracts with the CNN-BiLSTM Model
Authors: Gu Wanyi , Wang Guojun , Li Peiqiang , Zhai Guangxin , Li Xubin 
Published: July 2024

Abstract

Smart contracts, fundamental to blockchain technology, are extensively utilized in diverse fields such as finance, supply chain management, and beyond. Nevertheless, their capability to handle significant transactions and their unchangeable nature, once deployed, bring about substantial risks, potentially leading to severe security breaches and financial losses. Unfortunately, existing research primarily focuses on known vulnerabilities, leaving the realm of unknown vulnerabilities largely unexplored. This article aims to address this gap by introducing an innovative approach that capitalizes on the similarities between known and unknown vulnerabilities. We propose a groundbreaking CNN-BiLSTM model meticulously designed to identify features of known vulnerabilities and employ them to detect unknown vulnerabilities. Our innovative methodology intricately gathers opcode sequences generated during smart contract execution using Geth instrumentation and meticulously analyzes them. Rigorous experiments validate the effectiveness of the model in detecting unknown vulnerabilities. This innovative approach represents a significant advancement in blockchain security by providing proactive measures to strengthen smart contract security against potential threats.
Investigation on the Vibration Induced by Rotary Shaft Seal Condition in a Centrifugal Pump
Authors: Zou Jiamin , Han Yuejiang , Fan Yakun , Luo Yin , Wang Chao 
Published: July 2024

Abstract

When the centrifugal pump is working, if its rotary shaft seal suffers from wear, deformation, thermal cracking and other failures, it will have adverse effects on the system. Employing theoretical and experimental analysis approaches, this study investigates the vibration properties of centrifugal pumps under various states of rotary shaft seals. The aim is to discern rotary shaft seal faults and assess the operational status of the centrifugal pump system. The vibration signal is collected, and the EMD-AR spectrum of the vibration signal is drawn through normalization, window function, anti-aliasing filter, EMD, and AR model establishment. The findings indicate a reduction in both the head and efficiency of the centrifugal pump as the rotary shaft seal experiences failure. The head is notably more affected by this occurrence; To ensure minimal vibration and enhanced stability, it is advisable for centrifugal pumps to operate at design conditions or slightly higher flow rates, avoiding operation at low flow rates; Additionally, the amplitude of the EMD-AR spectrum in the vibration signal progressively increases with the intensification of rotary shaft seal failure. Consequently, the EMD-AR spectrum serves as a reliable indicator for diagnosing damage to the rotary shaft rotary shaft seal.