Atomic Data and Nuclear Data Tables最新文献_第9页

A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality 一种提高表格数据质量的自注意归算技术

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-04 DOI: 10.3390/data8060102

Do-Hoon Lee, Han-joon Kim

{"title":"A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality","authors":"Do-Hoon Lee, Han-joon Kim","doi":"10.3390/data8060102","DOIUrl":"https://doi.org/10.3390/data8060102","url":null,"abstract":"Recently, data-driven decision-making has attracted great interest; this requires high-quality datasets. However, real-world datasets often feature missing values for unknown or intentional reasons, rendering data-driven decision-making inaccurate. If a machine learning model is trained using incomplete datasets with missing values, the inferred results may be biased. In this case, a commonly used technique is the missing value imputation (MVI), which fills missing data with possible values estimated based on observed values. Various data imputation methods using machine learning, statistical inference, and relational database theories have been developed. Among them, conventional machine learning based imputation methods that handle tabular data can deal with only numerical columns or are time-consuming and cumbersome because they create an individualized predictive model for each column. Therefore, we have developed a novel imputational neural network that we term the Denoising Self-Attention Network (DSAN). Our proposed DSAN can deal with tabular datasets containing both numerical and categorical columns; it considers discretized numerical values as categorical values for embedding and self-attention layers. Furthermore, the DSAN learns robust feature expression vectors by combining self-attention and denoising techniques, and can predict multiple, appropriate substituted values simultaneously (via multi-task learning). To verify the validity of the method, we performed data imputation experiments after arbitrarily generating missing values for several real-world tabular datasets. We evaluated both imputational and downstream task performances, and we have seen that the DSAN outperformed the other models, especially in terms of category variable imputation.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"48 1","pages":"102"},"PeriodicalIF":1.8,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75077438","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: 1

Physico-Chemical Quality and Physiological Profiles of Microbial Communities in Freshwater Systems of Mega Manila, Philippines 菲律宾大马尼拉淡水系统中微生物群落的理化品质和生理特征

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-04 DOI: 10.3390/data8060103

M. C. M. Obusan, Arizaldo Enriquez Castro, Ren Mark D. Villanueva, M. D. E. Isagan, J. Caras, J. Simbahan

{"title":"Physico-Chemical Quality and Physiological Profiles of Microbial Communities in Freshwater Systems of Mega Manila, Philippines","authors":"M. C. M. Obusan, Arizaldo Enriquez Castro, Ren Mark D. Villanueva, M. D. E. Isagan, J. Caras, J. Simbahan","doi":"10.3390/data8060103","DOIUrl":"https://doi.org/10.3390/data8060103","url":null,"abstract":"Studying the quality of freshwater systems and drinking water in highly urbanized megalopolises around the world remains a challenge. This article reports data on the quality of select freshwater systems in Mega Manila, Philippines. Water samples collected between 2020 and 2021 were analyzed for physico-chemical parameters and microbial community metabolic fingerprints, i.e., carbon substrate utilization patterns (CSUPs). The detection of arsenic, lead, cadmium, mercury, polyaromatic hydrocarbons (PAHs), and organochlorine pesticides (OCPs) was carried out using standard chromatography- and spectroscopy-based protocols. Physiological profiles were determined using the Biolog EcoPlate™ system. Eight samples were free of heavy metals, and none contained PAHs or OCPs. Fourteen samples had high microbial activity, as indicated by average well color development (AWCD) and community metabolic diversity (CMD) values. Community-level physiological profiling (CLPP) revealed that (1) samples clustered as groups according to shared CSUPs, and (2) microbial communities in non-drinking samples actively utilized all six substrate classes compared to drinking samples. The data reported here can provide a baseline or a comparator for prospective quality assessments of drinking water and freshwater sources in the region. Metabolic fingerprinting using CSUPs is a simple and cheap phenotypic analysis of microbial communities and their physiological activity in aquatic environments.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"34 1","pages":"103"},"PeriodicalIF":1.8,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88320235","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

Labelled Indoor Point Cloud Dataset for BIM Related Applications BIM相关应用的室内点云数据集

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-01 DOI: 10.3390/data8060101

N. Abreu, Rayssa Souza, A. Pinto, Aníbal Matos, Miguel Pires

{"title":"Labelled Indoor Point Cloud Dataset for BIM Related Applications","authors":"N. Abreu, Rayssa Souza, A. Pinto, Aníbal Matos, Miguel Pires","doi":"10.3390/data8060101","DOIUrl":"https://doi.org/10.3390/data8060101","url":null,"abstract":"BIM (building information modelling) has gained wider acceptance in the AEC (architecture, engineering, and construction) industry. Conversion from 3D point cloud data to vector BIM data remains a challenging and labour-intensive process, but particularly relevant during various stages of a project lifecycle. While the challenges associated with processing very large 3D point cloud datasets are widely known, there is a pressing need for intelligent geometric feature extraction and reconstruction algorithms for automated point cloud processing. Compared to outdoor scene reconstruction, indoor scenes are challenging since they usually contain high amounts of clutter. This dataset comprises the indoor point cloud obtained by scanning four different rooms (including a hallway): two office workspaces, a workshop, and a laboratory including a water tank. The scanned space is located at the Electrical and Computer Engineering department of the Faculty of Engineering of the University of Porto. The dataset is fully labelled, containing major structural elements like walls, floor, ceiling, windows, and doors, as well as furniture, movable objects, clutter, and scanning noise. The dataset also contains an as-built BIM that can be used as a reference, making it suitable for being used in Scan-to-BIM and Scan-vs-BIM applications. For demonstration purposes, a Scan-vs-BIM change detection application is described, detailing each of the main data processing steps.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"18 1","pages":"101"},"PeriodicalIF":1.8,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73058003","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

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

Atomic Data and Nuclear Data Tables Pub Date : 2023-06-01 DOI: 10.1016/j.adt.2023.101600

M. Elantkowska, J. Ruczkowski, M. Klempka

引用次数: 0

Progress in the Cost-Optimal Methodology Implementation in Europe: Datasets Insights and Perspectives in Member States 欧洲成本最优方法实施的进展:成员国的数据集见解和观点

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-05-31 DOI: 10.3390/data8060100

P. Zangheri, D. D’Agostino, Roberto Armani, C. Maduta, P. Bertoldi

{"title":"Progress in the Cost-Optimal Methodology Implementation in Europe: Datasets Insights and Perspectives in Member States","authors":"P. Zangheri, D. D’Agostino, Roberto Armani, C. Maduta, P. Bertoldi","doi":"10.3390/data8060100","DOIUrl":"https://doi.org/10.3390/data8060100","url":null,"abstract":"This data article relates to the paper “Review of the cost-optimal methodology implementation in Member States in compliance with the Energy Performance of Buildings Directive”. Datasets linked with this article refer to the analysis of the latest national cost-optimal reports, providing an assessment of the implementation of the cost-optimal methodology, as established by the Energy Performance of Building Directive (EPBD). Based on latest national reports, the data provided a comprehensive update to the cost-optimal methodology implementation throughout Europe, which is currently lacking harmonization. Datasets allow an overall overview of the status of the cost-optimal methodology implementation in Europe with details on the calculations carried out (e.g., multi-stage, dynamic, macroeconomic, and financial perspectives, included energy uses, and full-cost approach). Data relate to the implemented methodology, reference buildings, assessed cost-optimal levels, energy performance, costs, and sensitivity analysis. Data also provide insight into energy consumption, efficiency measures for residential and non-residential buildings, nearly zero energy buildings (NZEBs) levels, and global costs. The reported data can be useful to quantify the cost-optimal levels for different building types, both residential (average cost-optimal level 80 kWh/m2y for new, 130 kWh/m2y for existing buildings) and non-residential buildings (140 kWh/m2y for new, 180 kWh/m2y for existing buildings). Data outline weak and strong points of the methodology, as well as future developments in the light of the methodology revision foreseen in 2026. The data support energy efficiency and energy policies related to buildings toward the EU building stock decarbonization goal within 2050.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"9 1","pages":"100"},"PeriodicalIF":1.8,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87107112","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

Systematic study of fusion barriers with energy dependent barrier radius 具有能量依赖势垒半径的聚变势垒的系统研究

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-05-31 DOI: 10.1016/j.adt.2023.101587

Yeruoxi Chen , Hong Yao , Min Liu , Junlong Tian , Peiwei Wen , Ning Wang

引用次数: 0

Unmanned Aerial Vehicle (UAV) and Spectral Datasets in South Africa for Precision Agriculture 南非用于精准农业的无人机和光谱数据集

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-05-30 DOI: 10.3390/data8060098

C. Munghemezulu, Zinhle Mashaba-Munghemezulu, Phathutshedzo Eugene Ratshiedana, E. Economon, G. Chirima, Sipho Sibanda

{"title":"Unmanned Aerial Vehicle (UAV) and Spectral Datasets in South Africa for Precision Agriculture","authors":"C. Munghemezulu, Zinhle Mashaba-Munghemezulu, Phathutshedzo Eugene Ratshiedana, E. Economon, G. Chirima, Sipho Sibanda","doi":"10.3390/data8060098","DOIUrl":"https://doi.org/10.3390/data8060098","url":null,"abstract":"Remote sensing data play a crucial role in precision agriculture and natural resource monitoring. The use of unmanned aerial vehicles (UAVs) can provide solutions to challenges faced by farmers and natural resource managers due to its high spatial resolution and flexibility compared to satellite remote sensing. This paper presents UAV and spectral datasets collected from different provinces in South Africa, covering different crops at the farm level as well as natural resources. UAV datasets consist of five multispectral bands corrected for atmospheric effects using the PIX4D mapper software to produce surface reflectance images. The spectral datasets are filtered using a Savitzky–Golay filter, corrected for Multiplicative Scatter Correction (MSC). The first and second derivatives and the Continuous Wavelet Transform (CWT) spectra are also calculated. These datasets can provide baseline information for developing solutions for precision agriculture and natural resource challenges. For example, UAV and spectral data of different crop fields captured at spatial and temporal resolutions can contribute towards calibrating satellite images, thus improving the accuracy of the derived satellite products.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"154 1","pages":"98"},"PeriodicalIF":1.8,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86294035","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: 2

Classification of Cocoa Pod Maturity Using Similarity Tools on an Image Database: Comparison of Feature Extractors and Color Spaces 在图像数据库上使用相似工具对可可荚成熟度进行分类:特征提取器和颜色空间的比较

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-05-30 DOI: 10.3390/data8060099

Kacoutchy Jean Ayikpa, Diarra Mamadou, P. Gouton, Kablan Jérôme Adou

{"title":"Classification of Cocoa Pod Maturity Using Similarity Tools on an Image Database: Comparison of Feature Extractors and Color Spaces","authors":"Kacoutchy Jean Ayikpa, Diarra Mamadou, P. Gouton, Kablan Jérôme Adou","doi":"10.3390/data8060099","DOIUrl":"https://doi.org/10.3390/data8060099","url":null,"abstract":"Côte d’Ivoire, the world’s largest cocoa producer, faces the challenge of quality production. Immature or overripe pods cannot produce quality cocoa beans, resulting in losses and an unprofitable harvest. To help farmer cooperatives determine the maturity of cocoa pods in time, our study evaluates the use of automation tools based on similarity measures. Although standard techniques, such as visual inspection and weighing, are commonly used to identify the maturity of cocoa pods, the use of automation tools based on similarity measures can improve the efficiency and accuracy of this process. We set up a database of cocoa pod images and used two feature extractors: one based on convolutional neural networks (CNN), in particular, MobileNet, and the other based on texture analysis using a gray-level co-occurrence matrix (GLCM). We evaluated the impact of different color spaces and feature extraction methods on our database. We used mathematical similarity measurement tools, such as the Euclidean distance, correlation distance, and chi-square distance, to classify cocoa pod images. Our experiments showed that the chi-square distance measurement offered the best accuracy, with a score of 99.61%, when we used GLCM as a feature extractor and the Lab color space. Using automation tools based on similarity measures can improve the efficiency and accuracy of cocoa pod maturity determination. The results of our experiments prove that the chi-square distance is the most appropriate measure of similarity for this task.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"45 1","pages":"99"},"PeriodicalIF":1.8,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85680359","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

Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture 探索西班牙流行病推文中情绪的演变:基于微调BERT架构的数据分析

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-05-29 DOI: 10.3390/data8060096

Carlos Miranda, G. Sanchez-Torres, Dixon Salcedo Morillo

{"title":"Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture","authors":"Carlos Miranda, G. Sanchez-Torres, Dixon Salcedo Morillo","doi":"10.3390/data8060096","DOIUrl":"https://doi.org/10.3390/data8060096","url":null,"abstract":"The COVID-19 pandemic has had a significant impact on various aspects of society, including economic, health, political, and work-related domains. The pandemic has also caused an emotional effect on individuals, reflected in their opinions and comments on social media platforms, such as Twitter. This study explores the evolution of sentiment in Spanish pandemic tweets through a data analysis based on a fine-tuned BERT architecture. A total of six million tweets were collected using web scraping techniques, and pre-processing was applied to filter and clean the data. The fine-tuned BERT architecture was utilized to perform sentiment analysis, which allowed for a deep-learning approach to sentiment classification. The analysis results were graphically represented based on search criteria, such as “COVID-19” and “coronavirus”. This study reveals sentiment trends, significant concerns, relationship with announced news, public reactions, and information dissemination, among other aspects. These findings provide insight into the emotional impact of the COVID-19 pandemic on individuals and the corresponding impact on social media platforms.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"46 1","pages":"96"},"PeriodicalIF":1.8,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75047136","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

A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG 阿尔茨海默病、额颞叶痴呆和健康受试者常规脑电记录的头皮脑电数据集

IF 1.8 3区物理与天体物理

Atomic Data and Nuclear Data Tables Pub Date : 2023-05-27 DOI: 10.3390/data8060095

Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, P. Ioannidis, N. Grigoriadis, D. Tsalikakis, P. Angelidis, M. Tsipouras, E. Glavas, N. Giannakeas, A. Tzallas

{"title":"A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG","authors":"Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, P. Ioannidis, N. Grigoriadis, D. Tsalikakis, P. Angelidis, M. Tsipouras, E. Glavas, N. Giannakeas, A. Tzallas","doi":"10.3390/data8060095","DOIUrl":"https://doi.org/10.3390/data8060095","url":null,"abstract":"Recently, there has been a growing research interest in utilizing the electroencephalogram (EEG) as a non-invasive diagnostic tool for neurodegenerative diseases. This article provides a detailed description of a resting-state EEG dataset of individuals with Alzheimer’s disease and frontotemporal dementia, and healthy controls. The dataset was collected using a clinical EEG system with 19 scalp electrodes while participants were in a resting state with their eyes closed. The data collection process included rigorous quality control measures to ensure data accuracy and consistency. The dataset contains recordings of 36 Alzheimer’s patients, 23 frontotemporal dementia patients, and 29 healthy age-matched subjects. For each subject, the Mini-Mental State Examination score is reported. A monopolar montage was used to collect the signals. A raw and preprocessed EEG is included in the standard BIDS format. For the preprocessed signals, established methods such as artifact subspace reconstruction and an independent component analysis have been employed for denoising. The dataset has significant reuse potential since Alzheimer’s EEG Machine Learning studies are increasing in popularity and there is a lack of publicly available EEG datasets. The resting-state EEG data can be used to explore alterations in brain activity and connectivity in these conditions, and to develop new diagnostic and treatment approaches. Additionally, the dataset can be used to compare EEG characteristics between different types of dementia, which could provide insights into the underlying mechanisms of these conditions.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"1 1","pages":"95"},"PeriodicalIF":1.8,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87165190","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: 6