Atomic Data and Nuclear Data Tables最新文献_第6页

Blockchain Payment Services in the Hospitality Sector: The Mediating Role of Data Security on Utilisation Efficiency of the Customer 酒店业的区块链支付服务:数据安全对客户利用效率的中介作用

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-30 DOI: 10.3390/data8080123

Ankit Dhiraj, Sanjeev Kumar, D. Rani, S. Grima, K. Sood

Blockchain technology has the potential to completely transform the hospitality sector by offering a safe, open, and effective method of payment. Increased customer utilisation efficiency may result from this. This study looks into how blockchain payment methods affect hotel customers’ intentions to stay loyal by devising four hypotheses. A questionnaire was specifically created and self-administered for this study as a data-gathering tool and distributed to hotel customers. The I.B.M. SPSS and Amos software packages were used to analyse the data of the 301 valid responses. Findings show that hospitality customers may use blockchain payment services if the customer is satisfied with the data security of this payment system. The study also highlighted that customer data security mediated the association between utilisation efficiency and blockchain payment systems. Blockchain payment services can affect visitors’ intentions to stay loyal by impacting data security and consumer happiness. Results suggest that blockchain payment systems can be useful for hospitality firms looking to increase client utilisation efficiency. Blockchain can simplify visitor booking and payment processes by providing a safe, open, and effective transacting method. This may result in a satisfying encounter that visitors are more inclined to recall and repeat.

区块链技术通过提供一种安全、开放、有效的支付方式，有可能彻底改变酒店业。这可能会提高客户利用效率。本研究通过设计四个假设来探讨区块链支付方式如何影响酒店顾客保持忠诚的意愿。本研究专门制作并自行管理了一份问卷，作为数据收集工具，并分发给酒店客户。采用ibm SPSS和Amos软件包对301份有效问卷的数据进行分析。研究结果表明，如果客户对b区块链支付系统的数据安全性感到满意，酒店客户可能会使用b区块链支付服务。该研究还强调，客户数据安全介导了使用效率和区块链支付系统之间的关联。b区块链支付服务可以通过影响数据安全和消费者满意度来影响访问者保持忠诚的意愿。结果表明，b区块链支付系统可以为酒店公司寻求提高客户利用效率有用。区块链通过提供安全、开放和有效的交易方式，简化了游客预订和付款流程。这可能会导致令人满意的遭遇，访问者更倾向于回忆和重复。

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引用次数: 0

Measuring the Effect of Fraud on Data-Quality Dimensions 测量欺诈对数据质量维度的影响

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-30 DOI: 10.3390/data8080124

Samiha Brahimi, M. Elhussein

Data preprocessing moves the data from raw to ready for analysis. Data resulting from fraud compromises the quality of the data and the resulting analysis. It can exist in datasets such that it goes undetected since it is included in the analysis. This study proposed a process for measuring the effect of fraudulent data during data preparation and its possible influence on quality. The five-step process begins with identifying the business rules related to the business process(s) affected by fraud and their associated quality dimensions. This is followed by measuring the business rules in the specified timeframe, detecting fraudulent data, cleaning them, and measuring their quality after cleaning. The process was implemented in the case of occupational fraud within a hospital context and the illegal issuance of underserved sick leave. The aim of the application is to identify the quality dimensions that are influenced by the injected fraudulent data and how these dimensions are affected. This study agrees with the existing literature and confirms its effects on timeliness, coherence, believability, and interpretability. However, this did not show any effect on consistency. Further studies are needed to arrive at a generalizable list of the quality dimensions that fraud can affect.

数据预处理将原始数据转化为可供分析的数据。欺诈产生的数据会影响数据的质量和分析结果。它可以存在于数据集中，这样它就不会被检测到，因为它包含在分析中。本研究提出了一个在数据准备过程中测量虚假数据的影响及其对质量的可能影响的过程。这个五步流程首先确定与受欺诈影响的业务流程相关的业务规则及其相关的质量维度。接下来是在指定的时间范围内度量业务规则，检测欺诈性数据，清除它们，并在清除后度量它们的质量。这一进程是针对医院内的职业欺诈和非法发放服务不足病假的案件实施的。应用程序的目的是识别受注入的欺诈性数据影响的质量维度，以及这些维度是如何受到影响的。本研究与已有文献一致，并证实了其对时效性、连贯性、可信度和可解释性的影响。然而，这对一致性没有任何影响。需要进一步的研究来得出舞弊可能影响的质量维度的概括清单。

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引用次数: 0

A Wavelet-Decomposed WD-ARMA-GARCH-EVT Model Approach to Comparing the Riskiness of the BitCoin and South African Exchange Rates 基于小波分解WD-ARMA-GARCH-EVT模型的比特币与南非汇率风险比较

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-24 DOI: 10.3390/data8070122

Thabani Ndlovu, D. Chikobvu

In this paper, a hybrid of a Wavelet Decomposition–Generalised Auto-Regressive Conditional Heteroscedasticity–Extreme Value Theory (WD-ARMA-GARCH-EVT) model is applied to estimate the Value at Risk (VaR) of BitCoin (BTC/USD) and the South African Rand (ZAR/USD). The aim is to measure and compare the riskiness of the two currencies. New and improved estimation techniques for VaR have been suggested in the last decade in the aftermath of the global financial crisis of 2008. This paper aims to provide an improved alternative to the already existing statistical tools in estimating a currency VaR empirically. Maximal Overlap Discrete Wavelet Transform (MODWT) and two mother wavelet filters on the returns series are considered in this paper, viz., the Haar and Daubechies (d4). The findings show that BitCoin/USD is riskier than ZAR/USD since it has a higher VaR per unit invested in each currency. At the 99% significance level, BitCoin/USD has average values of VaR of 2.71% and 4.98% for the WD-ARMA-GARCH-GPD and WD-ARMA-GARCH-GEVD models, respectively; and this is slightly higher than the respective 2.69% and 3.59% for the ZAR/USD. The average BitCoin/USD returns of 0.001990 are higher than ZAR/USD returns of −0.000125. These findings are consistent with the mean-variance portfolio theory, which suggests a higher yield for riskier assets. Based on the p-values of the Kupiec likelihood ratio test, the hybrid model adequacy is largely accepted, as p-values are greater than 0.05, except for the WD-ARMA-GARCH-GEVD models at a 99% significance level for both currencies. The findings are helpful to financial risk practitioners and forex traders in formulating their diversification and hedging strategies and ascertaining the risk-adjusted capital requirement to be set aside as a cushion in the event of the occurrence of an actual loss.

本文将小波分解-广义自回归条件异方差-极值理论(WD-ARMA-GARCH-EVT)混合模型应用于比特币(BTC/USD)和南非兰特(ZAR/USD)的风险值(VaR)估计。其目的是衡量和比较两种货币的风险。在2008年全球金融危机之后的过去十年中，已经提出了新的和改进的VaR估计技术。本文旨在提供一种改进的替代现有的统计工具，以经验估计货币VaR。本文考虑了最大重叠离散小波变换(MODWT)和两个母小波滤波器，即Haar和Daubechies (d4)。研究结果表明，比特币/美元比ZAR/美元风险更高，因为每单位投资于每种货币的VaR更高。在99%显著性水平下，WD-ARMA-GARCH-GPD和WD-ARMA-GARCH-GEVD模型的比特币/美元VaR均值分别为2.71%和4.98%;这略高于ZAR/USD的2.69%和3.59%。比特币/美元的平均回报率为0.001990，高于南非兰特/美元的- 0.000125。这些发现与均值-方差投资组合理论一致，该理论表明风险更高的资产收益率更高。根据Kupiec似然比检验的p值，除了WD-ARMA-GARCH-GEVD模型在两种货币的99%显著性水平上，混合模型的充分性在很大程度上被接受，因为p值都大于0.05。研究结果有助于金融风险从业者和外汇交易者制定多元化和对冲策略，并确定风险调整后的资本要求，以便在发生实际损失时作为缓冲。

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引用次数: 0

Knowledge Discovery and Dataset for the Improvement of Digital Literacy Skills in Undergraduate Students 提高大学生数字素养技能的知识发现与数据集

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-20 DOI: 10.3390/data8070121

Pongpon Nilaphruek, Pattama Charoenporn

For over two decades, scholars and practitioners have emphasized the importance of digital literacy, yet the existing datasets are insufficient for establishing learning analytics in Thailand. Learning analytics focuses on gathering and analyzing student data to optimize learning tools and activities to improve students’ learning experiences. The main problem is that the ICT skill levels of the youth are rather low in Thailand. To facilitate research in this field, this study has compiled a dataset containing information from the IC3 digital literacy certification delivered at the Rajamangala University of Technology Thanyaburi (RMUTT) in Thailand between 2016 and 2023. This dataset is unique since it includes demographic and academic records about undergraduate students. The dataset was collected and underwent a preparation process, including data cleansing, anonymization, and release. This data enables the examination of student learning outcomes, represented by a dataset containing information about 45,603 records with students’ certification assessment scores. This compiled dataset provides a rich resource for researchers studying digital literacy and learning analytics. It offers researchers the opportunity to gain valuable insights, inform evidence-based educational practices, and contribute to the ongoing efforts to improve digital literacy education in Thailand and beyond.

二十多年来，学者和从业者一直强调数字素养的重要性，但现有的数据集不足以在泰国建立学习分析。学习分析侧重于收集和分析学生数据，以优化学习工具和活动，以改善学生的学习体验。主要问题是泰国年轻人的ICT技能水平相当低。为了促进这一领域的研究，本研究编制了一个数据集，其中包含2016年至2023年泰国曼谷拉贾曼加拉理工大学(RMUTT)提供的IC3数字素养认证信息。这个数据集是独一无二的，因为它包含了本科生的人口统计和学术记录。收集数据集并进行准备过程，包括数据清理、匿名化和发布。该数据能够检查学生的学习成果，由包含45,603条记录信息的数据集表示，其中包含学生的认证评估分数。这个汇编的数据集为研究数字素养和学习分析的研究人员提供了丰富的资源。它为研究人员提供了获得宝贵见解的机会，为基于证据的教育实践提供信息，并为改善泰国及其他地区的数字扫盲教育做出贡献。

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引用次数: 0

PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset PoPu-Data:多层同时收集的躺卧位置数据集

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-16 DOI: 10.3390/data8070120

Luís Fonseca, F. Ribeiro, J. Metrôlho, Adriana Santos, Rogério Dionísio, Mohammad Mohammad Amini, Arlindo F. Silva, Ahmad Reza Heravi, Davood Fanaei Sheikholeslami, Filipe Fidalgo, Francisco Rodrigues, O. Santos, Patrícia Coelho, Seyyed Sajjad Aemmi

This study presents a dataset containing three layers of data that are useful for body position classification and all uses related to it. The PoPu dataset contains simultaneously collected data from two different sensor sheets—one placed over and one placed under a mattress; furthermore, a segmentation data layer was added where different body parts are identified using the pressure data from the sensors over the mattress. The data included were gathered from 60 healthy volunteers distributed among the different gathered characteristics: namely sex, weight, and height. This dataset can be used for position classification, assessing the viability of sensors placed under a mattress, and in applications regarding bedded or lying people or sleep related disorders.

本研究提出了一个包含三层数据的数据集，这些数据层对身体位置分类及其相关的所有用途都很有用。PoPu数据集包含从两个不同的传感器片同时收集的数据-一个放在床垫上，一个放在床垫下;此外，还添加了一个分割数据层，其中使用床垫上传感器的压力数据来识别不同的身体部位。所包括的数据来自60名健康志愿者，他们被分为不同的特征:性别、体重和身高。该数据集可用于位置分类，评估放置在床垫下的传感器的可行性，以及关于床上或躺着的人或睡眠相关疾病的应用。

引用次数: 3

Proteomic Shift in Mouse Embryonic Fibroblasts Pfa1 during Erastin, ML210, and BSO-Induced Ferroptosis 小鼠胚胎成纤维细胞Pfa1在Erastin, ML210和bso诱导的铁凋亡过程中的蛋白质组学改变

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-12 DOI: 10.3390/data8070119

Olga M. Kudryashova, A. Nesterenko, D. A. Korzhenevskii, Valeriy K. Sulyagin, V. M. Tereshchuk, V. Belousov, Arina G. Shokhina

Ferroptosis is a unique variety of non-apoptotic cell death, driven by massive lipid oxidation in an iron-dependent manner. Since ferroptosis was introduced as a concept in 2012, it has demonstrated its essential role in the pathogenesis in neurodegenerative diseases and an important role in therapy-resistant cancer cells. Thus, detailed molecular understanding of both canonical and alternative ferroptosis pathways is required. There is a set of widely used chemical agents to modulate ferroptosis using different pathway targets: erastin blocks cystine–glutamate antiporter, system xc-; ML210 directly inactivates GPX4; and L-buthionine sulfoximine (BSO) inhibits γ-glutamylcysteine synthetase, an essential enzyme for glutathione synthesis de novo. Most studies have focused on the lipidomic profiling of model systems undergoing death in a ferroptotic modality. In this study, we developed high-quality shotgun proteome sequencing during ferroptosis induction by three widely used chemical agents (erastin, ML210, and BSO) before and after 24 and 48 h of treatment. Chromato-mass spectra were registered in DDA mode and are suitable for further label-free quantification. Both processed and raw files are publicly available and could be a valuable dynamic proteome map for further ferroptosis investigation.

铁死亡是一种独特的非凋亡性细胞死亡，由大量脂质氧化以铁依赖的方式驱动。自2012年作为一个概念被引入以来，它已经在神经退行性疾病的发病机制中发挥了重要作用，在治疗耐药的癌细胞中也发挥了重要作用。因此，需要对典型和可选的铁下垂途径进行详细的分子理解。有一组广泛使用的化学制剂通过不同的途径靶点来调节铁凋亡:erastin阻断胱氨酸-谷氨酸反转运蛋白系统xc-;ML210直接灭活GPX4;l -丁硫氨酸亚砜胺(BSO)抑制γ-谷氨酰半胱氨酸合成酶，而γ-谷氨酰半胱氨酸合成酶是谷胱甘肽从头合成的必需酶。大多数研究都集中在模型系统的脂质组学分析中，这些模型系统在铁致死亡模式下经历死亡。在这项研究中，我们开发了高质量的鸟枪蛋白组测序，在治疗前后24和48小时，三种广泛使用的化学药物(erastin, ML210和BSO)诱导铁死亡。质谱以DDA模式注册，适合进一步的无标记定量。处理和原始文件都是公开的，可以作为进一步研究铁下垂的有价值的动态蛋白质组图。

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引用次数: 0

Data for proton transport through atomic hydrogen environments: Elastic scattering 质子在氢原子环境中传输的数据：弹性散射

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-10 DOI: 10.1016/j.adt.2023.101601

D.R. Schultz , R. Wang , P.C. Stancil , N.D. Cariatore

Spanning the center-of-mass energy range of 10⁻⁴ to 10 $^{8} eV$ , presented here are recommended integral and differential cross sections for elastic scattering in collisions of protons with atomic hydrogen. The recommended values have been determined by analysis of results of three primary theoretical methods with overlapping regimes of applicability within this broad range of collision energies. With comparison to data available in the literature and study of the numerical and physical convergences of the calculations, uncertainty quantification of the results has been made, which in turn aids uncertainty quantification of the astrophysical and other environment simulations the data is aimed at enabling. Along with other data for processes including excitation, ionization, and charge transfer, the present data support improved transport modeling of the passage of protons through atomic hydrogen, describing energy loss, charge change, secondary electron production, and photon emission.

跨越10−4至108eV的质心能量范围，这里给出了质子与氢原子碰撞弹性散射的推荐积分和微分截面。建议值是通过分析三种主要理论方法的结果确定的，这些方法具有重叠的适用范围，适用于这个广泛的碰撞能量范围。通过与文献中的现有数据以及对计算的数值和物理收敛的研究进行比较，对结果进行了不确定性量化，这反过来又有助于对数据旨在实现的天体物理和其他环境模拟进行不确定性量化。与激发、电离和电荷转移等过程的其他数据一起，目前的数据支持改进的质子通过氢原子的传输模型，描述能量损失、电荷变化、二次电子产生和光子发射。

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引用次数: 1

A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models 用于训练语义分割模型的变电站设备语义标注15类地真数据集

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-05 DOI: 10.3390/data8070118

Andreas Anael Pereira Gomes, Francisco Itamarati Secolo Ganacim, Fabiano Gustavo Silveira Magrin, N. Bobko, L. G. Fernandes, Anselmo Pombeiro, E. Romaneli

The lack of annotated semantic segmentation datasets for electrical substations in the literature poses a significant problem for machine learning tasks; before training a model, a dataset is needed. This paper presents a new dataset of electric substations with 1660 images annotated with 15 classes, including insulators, disconnect switches, transformers and other equipment commonly found in substation environments. The images were captured using a combination of human, fixed and AGV-mounted cameras at different times of the day, providing a diverse set of training and testing data for algorithm development. In total, 50,705 annotations were created by a team of experienced annotators, using a standardized process to ensure accuracy across the dataset. The resulting dataset provides a valuable resource for researchers and practitioners working in the fields of substation automation, substation monitoring and computer vision. Its availability has the potential to advance the state of the art in this important area.

文献中缺乏带注释的变电站语义分割数据集，这给机器学习任务带来了重大问题;在训练模型之前，需要一个数据集。本文介绍了一个新的变电站数据集，其中包含1660幅图像，标注了15个类别，包括变电站环境中常见的绝缘子、断开开关、变压器和其他设备。这些图像是在一天中的不同时间使用人类、固定和agv安装的相机组合拍摄的，为算法开发提供了多样化的训练和测试数据。总共有50,705个注释是由一个经验丰富的注释者团队创建的，他们使用标准化的过程来确保整个数据集的准确性。由此产生的数据集为变电站自动化、变电站监控和计算机视觉领域的研究人员和从业人员提供了宝贵的资源。它的可用性有可能推动这一重要领域的最新技术。

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引用次数: 0

Energy levels and radiative transition properties of the 2s2p double K-shell vacancy state in He-like ions (4≤Z≤54) 类he离子(4≤Z≤54)中2s2p双k壳空位态的能级和辐射跃迁性质

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-04 DOI: 10.1016/j.adt.2023.101602

Cunqiang Wu , Xiaobin Ding , Mingxin Cao , Denghong Zhang , Mingwu Zhang , Yingli Xue , Deyang Yu , Chenzhong Dong

The energy levels of 1s², 1s2s, and 2s2p configurations for He-like ions ( $4 \leq Z \leq 54$ ) are calculated using the multi-configuration Dirac–Hartree–Fock methods. The transition energies, transition rates, and oscillator strengths of 2s2p $\to$ 1s² and 2s2p $\to$ 1s2s are also calculated. A parallel calculation based on the Dirac–Fock–Slater method with a local central potential is performed using the Flexible Atomic Code to cross-check the accuracy of the data. The Breit interaction and quantum electrodynamics effects, including self-energy and vacuum polarization, are included as perturbations in these calculations. The average relative standard deviation of the energy levels from the available NIST data is about 0.2% for both methods. The transition energies and rates are in reasonable agreement with other available theoretical and experimental data, and the consistency between the transition energies calculated by the two methods reaches 99.9%. These results are expected to help future investigations on double K-shell vacancy decays of He-like ions.

使用多组态Dirac–Hartree–Fock计算了类氦离子（4≤Z≤54）的1s2、1s2s和2s2p组态的能级方法。2s2p的跃迁能量、跃迁速率和振子强度→1s2和2s2p→还计算了1s2。基于Dirac–Fock–Slater方法和局部中心电位的并行计算使用灵活原子码进行，以交叉检查数据的准确性。Breit相互作用和量子电动力学效应，包括自能和真空极化，都被包括在这些计算中作为扰动。两种方法的能级与可用NIST数据的平均相对标准偏差约为0.2%。这两种方法计算的跃迁能和跃迁速率与现有的理论和实验数据吻合较好，两者的一致性达到99.9%，有望为进一步研究类氦离子的双K壳层空位衰变提供参考。

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引用次数: 0

Assessment of Maize Silage Quality under Different Pre-Ensiling Conditions 不同预青贮条件下玉米青贮品质评价

IF 1.8 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables

Pub Date : 2023-07-02 DOI: 10.3390/data8070117

Lorenzo Serva, I. Andrighetto, S. Segato, G. Marchesini, M. Chinello, L. Magrin

Maize silage suffers from several factors that affect the final quality and, to some extent, pre-ensiled conditions that can be potentially tuned during harvesting. After assessing new indices for silage quality under lab-scale conditions, several trials have been conducted to find associations between fresh maize characteristics and silage features. Among the first, we included field input levels, FAO class, maturity stage, use of bacterial inoculants, sealing delay and chemical traits, whereas, among the latter, we assessed density and porosity, pH, fermentative profile, dry matter loss and aerobic stability. The trials were conducted using vacuum bags or mini silo buckets. More than 1500 maize samples harvested in Northeast Italy were analysed during the 2016–2022 period. Moreover, to evaluate silage aerobic stability, the fermentative profile and temperature were measured 14 days after the opening of the silo. The association between silage quality and aerobic stability was assessed, and a prognostic risk score was used to calculate the probability of aerobic instability. The dataset could provide baseline information to promote the continuous improvement of maize silage management from different botanical and crop fields, thus improving agronomic and animal farm resource allocation from a precision agriculture perspective.

玉米青贮受到几个影响最终质量的因素的影响，在某种程度上，可以在收获期间潜在地调整预青贮条件。在实验室规模条件下评估青贮质量的新指标后，进行了几项试验，以发现新鲜玉米特性与青贮特性之间的联系。在前者中，我们包括了田间投入水平、FAO等级、成熟期、细菌接种剂的使用、密封延迟和化学特性，而在后者中，我们评估了密度和孔隙度、pH值、发酵特征、干物质损失和有氧稳定性。试验采用真空袋或小型筒仓桶进行。2016-2022年期间，对意大利东北部收获的1500多个玉米样本进行了分析。此外，为了评价青贮的有氧稳定性，在开仓后14天测量了发酵曲线和温度。评估青贮质量与有氧稳定性之间的关系，并使用预后风险评分来计算有氧不稳定性的概率。该数据集可以提供基线信息，从不同的植物和作物领域促进玉米青贮管理的持续改进，从而从精准农业的角度改善农艺场和动物农场的资源配置。

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引用次数: 0