Atomic Data and Nuclear Data Tables最新文献_第8页

Self-Reported Mental Health and Psychosocial Correlates during the COVID-19 Pandemic: Data from the General Population in Italy COVID-19大流行期间自我报告的心理健康和社会心理相关因素:来自意大利普通人群的数据

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-16 DOI: 10.3390/data8060111

D. Marchetti, Roberta Maiella, Rocco Palumbo, Melissa D'Ettorre, Irene Ceccato, M. Colasanti, Adolfo Di Crosta, Pasquale La Malva, Emanuela Bartolini, Daniela Biasone, N. Mammarella, P. Porcelli, A. Domenico, M. Verrocchio

{"title":"Self-Reported Mental Health and Psychosocial Correlates during the COVID-19 Pandemic: Data from the General Population in Italy","authors":"D. Marchetti, Roberta Maiella, Rocco Palumbo, Melissa D'Ettorre, Irene Ceccato, M. Colasanti, Adolfo Di Crosta, Pasquale La Malva, Emanuela Bartolini, Daniela Biasone, N. Mammarella, P. Porcelli, A. Domenico, M. Verrocchio","doi":"10.3390/data8060111","DOIUrl":"https://doi.org/10.3390/data8060111","url":null,"abstract":"The COVID-19 pandemic tremendously impacted people’s day-to-day activities and mental health. This article describes the dataset used to investigate the psychological impact of the first national lockdown on the general Italian population. For this purpose, an online survey was disseminated via Qualtrics between 1 April and 20 April 2020, to record various socio-demographic and psychological variables. The measures included both validated (namely, the Impact of the Event Scale-Revised, the Perceived Stress Scale, the nine-item Patient Health Questionnaire, the seven-item Generalized Anxiety Disorder scale, the Big Five Inventory 10-Item, and the Whiteley Index-7) and ad hoc questionnaires (nine items to investigate in-group and out-group trust). The final sample comprised 4081 participants (18–85 years old). The dataset could be helpful to other researchers in understanding the psychological impact of the COVID-19 pandemic and its related preventive and protective measures. Furthermore, the present data might help shed some light on the role of individual differences in response to traumatic events. Finally, this dataset can increase the knowledge in investigating psychological distress, health anxiety, and personality traits.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"39 1","pages":"111"},"PeriodicalIF":1.8,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72663858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How Expert Is the Crowd? Insights into Crowd Opinions on the Severity of Earthquake Damage 人群有多专业?民众对地震破坏程度的看法

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-14 DOI: 10.3390/data8060108

M. Zohar, A. Salamon, C. Rapaport

{"title":"How Expert Is the Crowd? Insights into Crowd Opinions on the Severity of Earthquake Damage","authors":"M. Zohar, A. Salamon, C. Rapaport","doi":"10.3390/data8060108","DOIUrl":"https://doi.org/10.3390/data8060108","url":null,"abstract":"The evaluation of earthquake damage is central to assessing its severity and damage characteristics. However, the methods of assessment encounter difficulties concerning the subjective judgments and interpretation of the evaluators. Thus, it is mainly geologists, seismologists, and engineers who perform this exhausting task. Here, we explore whether an evaluation made by semiskilled people and by the crowd is equivalent to the experts’ opinions and, thus, can be harnessed as part of the process. Therefore, we conducted surveys in which a cohort of graduate students studying natural hazards (n = 44) and an online crowd (n = 610) were asked to evaluate the level of severity of earthquake damage. The two outcome datasets were then compared with the evaluation made by two of the present authors, who are considered experts in the field. Interestingly, the evaluations of both the semiskilled cohort and the crowd were found to be fairly similar to those of the experts, thus suggesting that they can provide an interpretation close enough to an expert’s opinion on the severity level of earthquake damage. Such an understanding may indicate that although our analysis is preliminary and requires more case studies for this to be verified, there is vast potential encapsulated in crowd-sourced opinion on simple earthquake-related damage, especially if a large amount of data is to be handled.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"22 1","pages":"108"},"PeriodicalIF":1.8,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90904639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant 数字助教生成的解决独特编程练习的程序源代码数据集

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-14 DOI: 10.3390/data8060109

Liliya A. Demidova, E. Andrianova, Peter N. Sovietov, A. Gorchakov

{"title":"Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant","authors":"Liliya A. Demidova, E. Andrianova, Peter N. Sovietov, A. Gorchakov","doi":"10.3390/data8060109","DOIUrl":"https://doi.org/10.3390/data8060109","url":null,"abstract":"This paper presents a dataset containing automatically collected source codes solving unique programming exercises of different types. The programming exercises were automatically generated by the Digital Teaching Assistant (DTA) system that automates a massive Python programming course at MIREA—Russian Technological University (RTU MIREA). Source codes of the small programs grouped by the type of the solved task can be used for benchmarking source code classification and clustering algorithms. Moreover, the data can be used for training intelligent program synthesizers or benchmarking mutation testing frameworks, and more applications are yet to be discovered. We describe the architecture of the DTA system, aiming to provide detailed insight regarding how and why the dataset was collected. In addition, we describe the algorithms responsible for source code analysis in the DTA system. These algorithms use vector representations of programs based on Markov chains, compute pairwise Jensen–Shannon divergences of programs, and apply hierarchical clustering algorithms in order to automatically discover high-level concepts used by students while solving unique tasks. The proposed approach can be incorporated into massive programming courses when there is a need to identify approaches implemented by students.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"1 1","pages":"109"},"PeriodicalIF":1.8,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74606324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Assessing the Effectiveness of Masking and Encryption in Safeguarding the Identity of Social Media Publishers from Advanced Metadata Analysis 评估屏蔽和加密在保护社交媒体发布者身份免受高级元数据分析中的有效性

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-13 DOI: 10.3390/data8060105

Mohammed Khader, M. Karam

{"title":"Assessing the Effectiveness of Masking and Encryption in Safeguarding the Identity of Social Media Publishers from Advanced Metadata Analysis","authors":"Mohammed Khader, M. Karam","doi":"10.3390/data8060105","DOIUrl":"https://doi.org/10.3390/data8060105","url":null,"abstract":"Machine learning algorithms, such as KNN, SVM, MLP, RF, and MLR, are used to extract valuable information from shared digital data on social media platforms through their APIs in an effort to identify anonymous publishers or online users. This can leave these anonymous publishers vulnerable to privacy-related attacks, as identifying information can be revealed. Twitter is an example of such a platform where identifying anonymous users/publishers is made possible by using machine learning techniques. To provide these anonymous users with stronger protection, we have examined the effectiveness of these techniques when critical fields in the metadata are masked or encrypted using tweets (text and images) from Twitter. Our results show that SVM achieved the highest accuracy rate of 95.81% without using data masking or encryption, while SVM achieved the highest identity recognition rate of 50.24% when using data masking and AES encryption algorithm. This indicates that data masking and encryption of metadata of tweets (text and images) can provide promising protection for the anonymity of users’ identities.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"331 1","pages":"105"},"PeriodicalIF":1.8,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73145130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Curated Dataset for Red Blood Cell Tracking from Video Sequences of Flow in Microfluidic Devices 从微流控装置中流动的视频序列中对红细胞跟踪的策划数据集

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-13 DOI: 10.3390/data8060106

I. Cimrák, P. Tarábek, Frantisek Kajánek

引用次数: 0

A Preliminary Investigation of a Single Shock Impact on Italian Mortality Rates Using STMF Data: A Case Study of COVID-19 利用STMF数据对单一冲击对意大利死亡率影响的初步调查:以COVID-19为例

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-13 DOI: 10.3390/data8060107

M. Carfora, A. Orlando

{"title":"A Preliminary Investigation of a Single Shock Impact on Italian Mortality Rates Using STMF Data: A Case Study of COVID-19","authors":"M. Carfora, A. Orlando","doi":"10.3390/data8060107","DOIUrl":"https://doi.org/10.3390/data8060107","url":null,"abstract":"Mortality shocks, such as pandemics, threaten the consolidated longevity improvements, confirmed in the last decades for the majority of western countries. Indeed, just before the COVID-19 pandemic, mortality was falling for all ages, with a different behavior according to different ages and countries. It is indubitable that the changes in the population longevity induced by shock events, even transitory ones, affecting demographic projections, have financial implications in public spending as well as in pension plans and life insurance. The Short Term Mortality Fluctuations (STMF) data series, providing data of all-cause mortality fluctuations by week within each calendar year for 38 countries worldwide, offers a powerful tool to timely analyze the effects of the mortality shock caused by the COVID-19 pandemic on Italian mortality rates. This dataset, recently made available as a new component of the Human Mortality Database, is described and techniques for the integration of its data with the historical mortality time series are proposed. Then, to forecast mortality rates, the well-known stochastic mortality model proposed by Lee and Carter in 1992 is first considered, to be consistent with the internal processing of the Human Mortality Database, where exposures are estimated by the Lee–Carter model; empirical results are discussed both on the estimation of the model coefficients and on the forecast of the mortality rates. In detail, we show how the integration of the yearly aggregated STMF data in the HMD database allows the Lee–Carter model to capture the complex evolution of the Italian mortality rates, including the higher lethality for males and older people, in the years that follow a large shock event such as the COVID-19 pandemic. Finally, we discuss some key points concerning the improvement of existing models to take into account mortality shocks and evaluate their impact on future mortality dynamics.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"44 1","pages":"107"},"PeriodicalIF":1.8,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79409474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of ARIMA and LSTM in Predicting Structural Deformation of Tunnels during Operation Period ARIMA与LSTM在隧道营运期结构变形预测中的比较

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-13 DOI: 10.3390/data8060104

C. Duan, Min Hu, Hao Zhang

{"title":"Comparison of ARIMA and LSTM in Predicting Structural Deformation of Tunnels during Operation Period","authors":"C. Duan, Min Hu, Hao Zhang","doi":"10.3390/data8060104","DOIUrl":"https://doi.org/10.3390/data8060104","url":null,"abstract":"Accurately predicting the structural deformation trend of tunnels during operation is significant to improve the scientificity of tunnel safety maintenance. With the development of data science, structural deformation prediction methods based on time-series data have attracted attention. Auto Regressive Integrated Moving Average model (ARIMA) is a classical statistical analysis model, which is suitable for processing non-stationary time-series data. Long- and Short-Term Memory (LSTM) is a special cyclic neural network that can learn long-term dependent information in time series. Both are widely used in the field of temporal prediction. In view of the lack of time-series prediction in the tunnel deformation field, the body of this paper uses historical data of the Xinjian Road and the Dalian Road tunnel in Shanghai to propose a new way of modeling based on single points and road sections. ARIMA and LSTM models are applied in comprehensive experiments, and the results show that: (1) Both LSTM and ARIMA models have great performance for settlement and convergence deformation. (2) The overall robustness of ARIMA is better than that of LSTM, and it is more adaptable to the datasets. (3) The model prediction performance is closely related to the data quality. ARIMA has more stable performance under the lack of data volume, while LSTM has better performance with high-quality data and higher upper limit.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"18 1","pages":"104"},"PeriodicalIF":1.8,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81530484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Theoretical level energies and transition data for 4p64d6, 4p54d7 and 4p64d54f configurations of W32+ ion W32+离子4p64d6、4p54d7和4p64d54f构型的理论能级和跃迁数据

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-10 DOI: 10.1016/j.adt.2023.101597

R. Karpuškienė, R. Kisielius

{"title":"Theoretical level energies and transition data for 4p64d6, 4p54d7 and 4p64d54f configurations of W32+ ion","authors":"R. Karpuškienė, R. Kisielius","doi":"10.1016/j.adt.2023.101597","DOIUrl":"https://doi.org/10.1016/j.adt.2023.101597","url":null,"abstract":"<div>The ab initio quasirelativistic approach developed specifically for the calculation of spectral parameters of highly charged ions has been used to determine transition data for the Mo-like tungsten ion W<math><msup><mrow></mrow><mrow><mn>32</mn><mo>+</mo></mrow></msup></math>. The configuration interaction method is utilized to include electron correlation effects. The relativistic effects are taken into account in the Breit–Pauli approximation. Level energies, radiative lifetimes <math><mi>τ</mi></math>, Landé <math><mi>g</mi></math>-factors are determined for the ground configuration 4p<math><msup><mrow></mrow><mrow><mn>6</mn></mrow></msup></math>4d<math><msup><mrow></mrow><mrow><mn>6</mn></mrow></msup></math> and two excited configurations 4p<math><msup><mrow></mrow><mrow><mn>5</mn></mrow></msup></math>4d<math><msup><mrow></mrow><mrow><mn>7</mn></mrow></msup></math> and 4p<math><msup><mrow></mrow><mrow><mn>6</mn></mrow></msup></math>4d<math><msup><mrow></mrow><mrow><mn>5</mn></mrow></msup></math>4f. The radiative transition wavelengths <math><mi>λ</mi></math>, emission transition probabilities <math><mi>A</mi></math>, weighted oscillator strengths <math><mrow><mi>g</mi><mi>f</mi></mrow></math>, and transition line strengths <math><mi>S</mi></math> for the electric dipole, electric quadrupole, electric octupole, magnetic dipole, and magnetic quadrupole transitions among the fine-structure levels of these configurations are produced. The uncertainties of computed spectroscopic parameters are evaluated.</div>","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"154 ","pages":"Article 101597"},"PeriodicalIF":1.8,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49743891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Table of hyperfine anomaly in atomic systems — 2023 2023年原子系统超精细异常表

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-09 DOI: 10.1016/j.adt.2023.101589

J.R. Persson

引用次数: 0

Comment on “Atomic structure and electron impact excitation of Al-like ions (Ga–Br)” by HB Wang and G Jiang in At. Data Nucl. Data Tables 148 (2022) 101532 对《类al离子(Ga-Br)的原子结构和电子冲击激发》的评论数据诊断。数据表148 (2022)101532

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-08 DOI: 10.1016/j.adt.2023.101588

Kanti M. Aggarwal, Ken W. Smith

引用次数: 0