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Systematics of log ft values for β−, and EC/β+ transitions β−和EC/β+跃迁的log ft值系统
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-07-01 DOI: 10.1016/j.adt.2023.101584
Steffen Turkat , Xavier Mougeot , Balraj Singh , Kai Zuber

This work is an update of the 1998 publication by Singh et al. [1] and reviews the log ft values for all the known β-decay branches (β−, β+/EC). Furthermore, an update of all Q-values (from AME2020  [2]), as well as a recalculation of all the log ft values (through BetaShape code [3], [4]) has been conducted using relevant data in the ENSDF database, as well as in newer literature. Only those cases have been considered in this review, where the beta transitions occur between levels of firm single spin assignments (86% of the transitions), and with probable single spin assignments (14% of the transitions), but with firm parity assignments for all the transitions. Weak β branches of <1% intensity in complex decay schemes have generally been omitted. Out of a total of 26 318 β transitions extracted from the ENSDF database and current literature, data for only 4038 β transitions survived the filtering criteria in the present review. The log ft values in β decay, spanning about 21 orders of magnitude, have been classified into allowed and forbidden categories according to the classification scheme of Konopinski [5]. All log ft values have been deduced using the BetaShape code with new developments presented in this study. A very few number of log ft values for very low-energy beta transitions (<5 keV) survived the cut criteria and are briefly discussed in terms of atomic overlap corrections. Also tabulated and briefly discussed are seven superallowed cases with ΔT = 0, Tz(parent) = −2, while a known case for 28S to 28P has been omitted as reliable EC/β+feeding to the analog state in 28P cannot be assigned due to lack of adequate experimental and detailed data for this decay. Centroid, width, minimum and maximum values for each category have been deduced. Uncertainties have been estimated and are also given. For literature coverage in the present review, see discussion in text.

这项工作是Singh等人1998年出版物的更新。[1]并回顾了所有已知β衰变分支(β−,β+/EC)的log ft值。此外,使用ENSDF数据库和更新文献中的相关数据,对所有Q值进行了更新(来自AME2020[2]),并对所有log ft值进行了重新计算(通过BetaShape代码[3]、[4])。在这篇综述中只考虑了这些情况,其中贝塔转换发生在公司单自旋分配的级别之间(86%的转换),以及可能的单自旋分配(14%的转换)中,但所有转换都有公司平价分配。<;复杂衰变方案中的1%强度通常被省略。在从ENSDF数据库和当前文献中提取的总共26318个β跃迁中,只有4038个β跃迁的数据符合本综述的过滤标准。根据Konopinski[5]的分类方案,β衰变中的log ft值跨越约21个数量级,已被分为允许和禁止两类。所有log ft值都是使用BetaShape代码推导出来的,本研究提出了新的发展。非常低能量β跃迁(<;5keV)的极少数log ft值在切割标准中幸存下来,并在原子重叠校正方面进行了简要讨论。此外,表中还简要讨论了ΔT=0,Tz(母体)=−2的七种超允许情况,而28S至28P的一种已知情况被省略,因为由于缺乏足够的实验和详细的衰变数据,无法分配28P中模拟状态的可靠EC/β+进料。推导了每个类别的质心、宽度、最小值和最大值。对不确定性进行了估计,并给出了不确定性。关于本综述中的文献报道,请参阅正文中的讨论。
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引用次数: 2
Pre-neutron emission average total kinetic energy of fission fragments 裂变碎片的中子前发射平均总动能
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-07-01 DOI: 10.1016/j.adt.2023.101582
V.Yu. Denisov

A new expression for a calculation of the pre-neutron emission average total kinetic energy of fission fragments (TKE), which takes into account the dependence of TKE on both Z2/A1/3 and the excitation energy of the fissioning nuclei, is found using the 728 experimental values of the TKE. These 728 values of TKE for 115 fissioning nuclei with the numbers of proton and nucleons in the ranges 48Z120 and 78A302 are measured by various experimental groups in different reactions at various excitation energies of the fissioning nuclei. The dependence of the TKE on the excitation energy of the fissioning nuclei is clearly shown for many nuclei. The account of the excitation energy dependence of the TKE leads to the smallest value of the root-mean-square deviation between the experimental and theoretical TKE values.

利用728个裂变碎片平均总动能的实验值,建立了计算裂变碎片中子前发射平均总动能(TKE)的新表达式,该表达式考虑了TKE对Z2/A1/3和裂变核激发能的依赖。115个质子核子数在48≤Z≤120和78≤A≤302范围内的裂变核的728个TKE值是由不同的实验组在不同的裂变核激发能下的不同反应中测量的。对于许多原子核来说,TKE对裂变核激发能的依赖性是显而易见的。考虑了激发能对TKE的依赖性,使得实验TKE值与理论TKE值的均方根偏差最小。
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引用次数: 0
Theoretical investigation of Sb-like sequence: Sb I, Te II, I III, Xe IV, and Cs V 类Sb序列Sb I、Te II、iiii、Xe IV、Cs V的理论研究
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-07-01 DOI: 10.1016/j.adt.2023.101585
L. Radžiūtė, G. Gaigalas

We aim to investigate atomic properties of Sb-like sequence: Sb I, Te II, I III, Xe IV, and Cs V. The multiconfiguration Dirac–Hartree–Fock and relativistic configuration interaction methods, which are implemented in the general-purpose relativistic atomic structure package GRASP2018, are used in the present work. The lowest energy levels of the 5s25p3, 5s5p4, 5p5, 5s5p35d, and 5s25p2{6s,7s,6p,7p,5d,6d,4f} configurations and electric dipole, magnetic dipole, and electric quadrupole transitions between states of these configurations are computed. Accuracy of energy levels are evaluated by comparing it with the National Institute of Standards and Technology Atomic Spectra Database recommended values and with other methods. Accuracy of transitions data are investigated using quantitative and qualitative evaluation method.

我们的目标是研究类Sb序列:Sb I, Te II, I III, Xe IV和Cs v的原子性质。本研究使用了通用相对论原子结构包GRASP2018中实现的多组态Dirac-Hartree-Fock和相对论组态相互作用方法。计算了5s25p3、555p4、5p5、555p35d和5s25p2{6s、7s、6p、7p、5d、6d、4f}构型的最低能级,以及这些构型状态之间的电偶极子、磁偶极子和电四极子跃迁。通过与美国国家标准与技术研究所原子光谱数据库推荐值和其他方法进行比较,评估能级的准确性。采用定量和定性评价相结合的方法对转换数据的准确性进行了研究。
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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≤ 类he离子(4≤/mml)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 Pub Date : 2023-07-01 DOI: 10.1016/j.adt.2023.101602
Cunqiang Wu, Xiao-bin Ding, M. Cao, Denghong Zhang, Mingwu Zhang, Y. Xue, Deyang Yu, Chenzhong Dong
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引用次数: 0
A Survey Dataset Evaluating Perceptions of Civil Engineering Students about Building Information Modelling (BIM) 评估土木工程专业学生对建筑信息模型(BIM)认知的调查数据集
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-06-28 DOI: 10.3390/data8070114
D. Barbieri, Baowen Lou, Marco Passavanti, Aurora Barbieri, F. Bjørheim
The implementation of Building Information Modelling (BIM) technologies has become increasingly central in the design, construction and maintenance of both civil structures and infrastructures. As more and more software houses develop new BIM software solutions and a wide range of private and public stakeholders employ them, several educational institutes across the globe strive to expand their teaching portfolio to encompass learning and teaching of BIM. This dataset deals with the perceptions expressed by all the civil engineering undergraduate students who attended an academic course specifically about BIM at University of Stavanger (UiS), Norway, during the second semester 2022. The survey was divided into five parts and collected information regarding as many overarching aspects: socio-demographic data, perceptions about BIM before and after course attendance, satisfaction about the academic course and the way it was conducted. Considering the very moderate sample size (28 students) and potential biases due to the specific context of the University of Stavanger, the dataset can provide a useful insight into teaching approaches and future curriculum development, rather than indicating major and generalized trends in BIM education. As the questionnaire responses shed light on the feedbacks and perceptions expressed by university students dealing with BIM for their first time, the formed dataset can offer a straightforward appreciation of students’ cognitive behaviour in BIM education.
建筑信息模型(BIM)技术的实施在土木结构和基础设施的设计、建造和维护中变得越来越重要。随着越来越多的软件公司开发新的BIM软件解决方案,以及广泛的私人和公共利益相关者使用它们,全球一些教育机构努力扩大他们的教学组合,以涵盖BIM的学习和教学。本数据集涉及2022年第二学期在挪威斯塔万格大学(美国)参加关于BIM的学术课程的所有土木工程本科生所表达的看法。该调查分为五个部分,收集了许多总体方面的信息:社会人口统计数据、出课前后对BIM的看法、对学术课程的满意度以及授课方式。考虑到样本量非常适中(28名学生),以及由于斯塔万格大学的特定背景而存在的潜在偏差,该数据集可以为教学方法和未来课程开发提供有用的见解,而不是表明BIM教育的主要和普遍趋势。由于调查问卷的回答揭示了大学生第一次接触BIM时所表达的反馈和看法,因此形成的数据集可以直观地了解学生在BIM教育中的认知行为。
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引用次数: 0
Factory-Based Vibration Data for Bearing-Fault Detection 基于工厂振动数据的轴承故障检测
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-06-28 DOI: 10.3390/data8070115
Adam Lundström, M. O’nils
The importance of preventing failures in bearings has led to a large amount of research being conducted to find methods for fault diagnostics and prognostics. Many of these solutions, such as deep learning methods, require a significant amount of data to perform well. This is a reason why publicly available data are important, and there currently exist several open datasets that contain different conditions and faults. However, one challenge is that almost all of these data come from a laboratory setting, where conditions might differ from those found in an industrial environment where the methods are intended to be used. This also means that there may be characteristics of the industrial data that are important to take into account. Therefore, this study describes a completely new dataset for bearing faults from a pulp mill. The analysis of the data shows that the faults vary significantly in terms of fault development, rotation speed, and the amplitude of the vibration signal. It also suggests that methods built for this environment need to consider that no historical examples of faults in the target domain exist and that external events can occur that are not related to any condition of the bearing.
防止轴承故障的重要性导致了大量的研究正在进行,以寻找故障诊断和预测的方法。许多这样的解决方案,比如深度学习方法,需要大量的数据才能运行良好。这就是为什么公开可用的数据很重要的原因,目前存在几个包含不同条件和错误的开放数据集。然而,一个挑战是,几乎所有这些数据都来自实验室环境,那里的条件可能与工业环境中的条件不同,而工业环境则打算使用这些方法。这也意味着工业数据中可能存在需要考虑的重要特征。因此,本研究描述了一个全新的纸浆厂轴承故障数据集。数据分析表明,各断层在断层发育程度、转速、振动信号幅值等方面变化明显。它还表明,为这种环境构建的方法需要考虑目标域中不存在历史故障示例,并且可能发生与轴承的任何条件无关的外部事件。
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引用次数: 0
Dataset of Linkability Networks of Ethereum Accounts Involved in NFT Trading of Top 15 NFT Collections 15大NFT集合中涉及NFT交易的以太坊账户的可链接性网络数据集
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-06-28 DOI: 10.3390/data8070116
Aleksandar Tošić, Niki Hrovatin, Jernej Vičič
In this paper, we present subgraphs of Ethereum wallets involved in NFT trades of the top 15 ERC721 NFT collections. To obtain the subgraphs, we have extracted the Ethereum transaction graph from a live Ethereum node and filtered out exchanges, mining pools, and smart contracts. For each of the selected collections, we identified the set of accounts involved in NFT trading, which we used to perform a breadth-first search in the Ethereum transaction graph to obtain a subgraph. These subgraphs can offer insight into the linkability of accounts participating in NFT trading on the Ethereum blockchain.
在本文中,我们展示了前15个ERC721 NFT集合中涉及NFT交易的以太坊钱包的子图。为了获得子图,我们从一个实时的以太坊节点中提取了以太坊交易图,并过滤掉了交易所、矿池和智能合约。对于每个选定的集合,我们确定了涉及NFT交易的帐户集,我们使用它在以太坊交易图中执行广度优先搜索以获得子图。这些子图可以深入了解参与以太坊区块链上NFT交易的账户的可链接性。
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引用次数: 0
Reanalysis of the hyperfine structure of Co II. Determination of the nuclear quadrupole moment of 59Co Co II超精细结构的再分析。59Co核四极矩的测定
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-06-23 DOI: 10.1016/j.adt.2023.101600
M. Elantkowska , J. Ruczkowski , M. Klempka

The paper re-analyses the hyperfine structure using a semi-empirical method made possible by new precise experimental data. By incorporating electric quadrupole interactions into the calculations, we were able to determine the nuclear quadrupole moment of 59Co. We compared the results with existing experimental data and theoretical calculations. Additionally, we provide predicted values for the magnetic dipole A and electric quadrupole B hyperfine structure constants for both even and odd levels.

本文利用新的精确实验数据,采用半经验方法对超精细结构进行了重新分析。通过将电四极相互作用纳入计算,我们能够确定59Co的核四极矩。我们将结果与现有的实验数据和理论计算进行了比较。此外,我们还提供了偶数和奇数能级的磁偶极子A和电四极子B超精细结构常数的预测值。
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引用次数: 0
VPTD: Human Face Video Dataset for Personality Traits Detection 用于人格特征检测的人脸视频数据集
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-06-22 DOI: 10.3390/data8070113
Kenan Kassab, A. Kashevnik, Alexander Mayatin, Dmitry Zubok
In this paper, we propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages. In the paper, we propose the top five personality traits calculated based on the test, as well as the top five personality traits calculated by our own developed model that determines this information based on video analysis. We introduced a statistical analysis for the collected dataset, and we also applied a K-means clustering algorithm to cluster the data and present the clustering results.
本文提出了一种基于人脸视频的人格特征检测数据集。基础真实数据已使用每个参与者正在执行的IPIP-50人格测试进行注释。为了收集数据集,我们开发了一个基于网络的平台,使我们能够从受访者那里获得预定义问题的自发答案。该网站允许参与者录制互动采访,以模仿现实生活中的采访。该数据集包括38个不同种族、性别和年龄的人的视频(平均2分钟)。在本文中,我们提出了根据测试计算出的前五名人格特征,以及我们自己开发的基于视频分析确定该信息的模型计算出的前五名人格特征。我们对收集到的数据集进行了统计分析,并应用K-means聚类算法对数据进行聚类并给出聚类结果。
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引用次数: 0
RipSetCocoaCNCH12: Labeled Dataset for Ripeness Stage Detection, Semantic and Instance Segmentation of Cocoa Pods RipSetCocoaCNCH12:用于可可荚成熟度阶段检测、语义和实例分割的标记数据集
IF 1.8 3区 物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Pub Date : 2023-06-18 DOI: 10.3390/data8060112
Juan Felipe Restrepo-Arias, María Isabel Salinas-Agudelo, M. Hernández-Pérez, Alejandro Marulanda-Tobón, María Camila Giraldo-Carvajal
Fruit counting and ripeness detection are computer vision applications that have gained strength in recent years due to the advancement of new algorithms, especially those based on artificial neural networks (ANNs), better known as deep learning. In agriculture, those algorithms capable of fruit counting, including information about their ripeness, are mainly applied to make production forecasts or plan different activities such as fertilization or crop harvest. This paper presents the RipSetCocoaCNCH12 dataset of cocoa pods labeled at four different ripeness stages: stage 1 (0–2 months), stage 2 (2–4 months), stage 3 (4–6 months), and harvest stage (>6 months). An additional class was also included for pods aborted by plants in the early stage of development. A total of 4116 images were labeled to train algorithms that mainly perform semantic and instance segmentation. The labeling was carried out with CVAT (Computer Vision Annotation Tool). The dataset, therefore, includes labeling in two formats: COCO 1.0 and segmentation mask 1.1. The images were taken with different mobile devices (smartphones), in field conditions, during the harvest season at different times of the day, which could allow the algorithms to be trained with data that includes many variations in lighting, colors, textures, and sizes of the cocoa pods. As far as we know, this is the first openly available dataset for cocoa pod detection with semantic segmentation for five classes, 4116 images, and 7917 instances, comprising RGB images and two different formats for labels. With the publication of this dataset, we expect that researchers in smart farming, especially in cocoa cultivation, can benefit from the quantity and variety of images it contains.
水果计数和成熟度检测是计算机视觉应用,近年来由于新算法的进步,特别是基于人工神经网络(ANNs)的算法,即深度学习,得到了加强。在农业中,那些能够计数水果的算法,包括它们的成熟度信息,主要用于生产预测或计划不同的活动,如施肥或作物收获。本文介绍了RipSetCocoaCNCH12数据集,其中标记了四个不同成熟度阶段的可可荚:阶段1(0-2个月),阶段2(2 - 4个月),阶段3(4-6个月)和收获阶段(>6个月)。另外一类还包括在发育早期被植物流产的荚果。总共有4116张图像被标记,以训练主要执行语义和实例分割的算法。使用CVAT(计算机视觉标注工具)进行标注。因此,数据集包括两种格式的标记:COCO 1.0和分割掩码1.1。这些图像是用不同的移动设备(智能手机)在田野条件下,在收获季节的不同时间,在一天中拍摄的,这可以允许算法接受数据训练,包括光线、颜色、纹理和可可荚大小的许多变化。据我们所知,这是第一个公开可用的可可荚检测数据集,对5个类、4116张图像和7917个实例进行语义分割,包括RGB图像和两种不同的标签格式。随着该数据集的发布,我们希望智能农业的研究人员,特别是可可种植的研究人员,可以从它包含的数量和种类的图像中受益。
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引用次数: 0
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