Data in Brief最新文献

{"title":"Data on zinc chelates of glycine as a growth and survival enhancer in hybrid grouper and whiteleg shrimp","authors":"Sarmila Muthukrishnan ,&nbsp;Donny Kai Hee Tey ,&nbsp;Wen Chen Wee","doi":"10.1016/j.dib.2025.111309","DOIUrl":"10.1016/j.dib.2025.111309","url":null,"abstract":"<div><div>The dataset demonstrates the efficacy of Aqua Ectogon-284, a zinc chelates of glycine, as a dietary supplement to enhance growth and survival in hybrid grouper (<em>Epinephelus fuscoguttatus</em> ♀ × <em>E. lanceolatus</em> ♂) and whiteleg shrimp (<em>Penaeus vannamei</em>). Two concentrations (1g/kg feed and 2g/kg feed) were evaluated against a control group to identify an optimal dosage that maximizes growth and health outcomes. Both the species exhibited improved growth performance and survival rates with dietary supplementation. The hybrid grouper fed a 1g/kg diet achieved the highest final weight of 100.00 g, with significant increases in length and survival rates of 96.00%. Similarly, whiteleg shrimp demonstrated enhanced final weights and survival (94.67%) with the same treatment. These findings revealed that zinc chelate glycine increased the growth rate and reduced mortality in farmed species.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111309"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143130878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcare","authors":"Mayen Uddin Mojumdar,&nbsp;Dhiman Sarker,&nbsp;Md Assaduzzaman,&nbsp;Md. Anisul Haque Sajeeb,&nbsp;Md. Mohaimenur Rahman,&nbsp;Md Shadikul Bari,&nbsp;Shah Md Tanvir Siddiquee,&nbsp;Narayan Ranjan Chakraborty","doi":"10.1016/j.dib.2024.111195","DOIUrl":"10.1016/j.dib.2024.111195","url":null,"abstract":"<div><div>Anemia is a critical medical condition in public health concern in tropical and subtropical areas, and understanding its hematological changes is crucial for improving diagnosis, treatment, and prognosis.It manifests through symptoms like weakness, fatigue, pale skin, and shortness of breath due to insufficient hemoglobin or red blood cells to carry adequate oxygen, with severe cases leading to complications such as chest pain. Common causes include blood loss, chronic diseases, and iron and vitamin deficiencies. This dataset captures various hematological parameters of patients suffering from anemia, including sex, age, Hemoglobin level (Hb), oxygen transportation (RBC), packed cell volume (PCV), mean corpuscular volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC). The data is systematically collected from patients admitted to Aalok Healthcare Ltd., situated in Dhaka, Bangladesh., offering an opportunity to analyze hematological variations in patients with anemia. By providing a worldwide viewpoint for comparing hematological responses, this dataset aids in the development of prediction models for the severity of anemia and patient outcomes, improving clinical decision-making. The study examines how various treatment plans can affect blood characteristics, potentially leading to improved treatment strategies. For statistical analysis, the data is cleaning the noise (null and duplicate values), normalized, and encoded. The Chi-square test results indicate a p-value of <span><math><mrow><mn>4.1929</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>29</mn></mrow></msup></mrow></math></span>, showing no significant association between gender and diagnostic outcomes. However, the Z-test and T-test results reveal a notable gender difference in hemoglobin levels, with p-values of <span><math><mrow><mn>3.4789</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>33</mn></mrow></msup></mrow></math></span> and <span><math><mrow><mn>4.1586</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>24</mn></mrow></msup></mrow></math></span>, respectively, underscoring the relevance of gender in analyzing hemoglobin variations. These findings emphasize how gender influences hematological responses against Anemia. The dataset will greatly advance research on anemia, improve these critical medical terms in public health strategies, and enhance patient diagnosis and treatment methods, offering a distinct advantage.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111195"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699093/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulating data breaches: Synthetic datasets for depicting personally identifiable information through scenario-based breaches","authors":"Abhishek Sharma ,&nbsp;May Bantan","doi":"10.1016/j.dib.2024.111207","DOIUrl":"10.1016/j.dib.2024.111207","url":null,"abstract":"<div><div>With hackers relentlessly disrupting cyberspace and the day-to-day operations of organizations worldwide, there are also concerns related to Personally Identifiable Information (PII). Due to the data breaches and the data getting dumped on the clear web or the dark web, there are serious concerns about how the different threat actors worldwide can misuse the data. Also, it raises the question of how hackers can create a profile of an individual starting from one data leak and getting more details on individuals with the help of Open Source Intelligence (OSINT). Furthermore, there is a dilemma in utilizing data breach datasets dumped on the clear web or the dark web because of the sensitive nature of the information. There can be issues related to ethics, law enforcement, and legal use of data. Thus, to tackle this, we will construct synthetic datasets that will allow researchers and professionals to understand how data leaks can be dangerous and how hackers can connect the dots further by creating complete profiles of individuals. We have programmatically generated a synthetic master record of 4 million unique individuals with complete profiles of their PIIs, and then using the master record, we have further generated 16 scenario-based datasets by creating a fictitious narrative of data breaches covering different industry types. These datasets will facilitate researchers and industry professionals in understanding the distribution of PIIs across data breaches. The data classes represent the nature of PIIs sourced from ‘Have I Been Pwned?’ to create synthetic records. The synthetically generated records are shared with the code in this paper to facilitate future researchers and practitioners to generate customized synthetic records according to their requirements, enabling transparency in terms of reusability, reproducibility, and replicability.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111207"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699479/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data on full stationary wave-field measurement of a suspended steel plate punctually loaded","authors":"Xuefeng Li ,&nbsp;Thomas Brion ,&nbsp;Pascal Fossat ,&nbsp;Mohamed Ichchou ,&nbsp;Olivier Bareille ,&nbsp;Abdel-Malek Zine","doi":"10.1016/j.dib.2024.111180","DOIUrl":"10.1016/j.dib.2024.111180","url":null,"abstract":"<div><div>The dataset presented contains the experimental structural response, in the frequency domain, of a suspended steel plate to a point force excitation. The plate is excited by a mechanical point force generated by a Brüel &amp; kJær shaker with a white noise signal input from 3.125 Hz to 2000 Hz. The out-of-plate displacement fields on a 2D grid were measured using a Polytec PSV-400 Scanning Vibrometer. Finally, the displacement fields are acquired by a Fourier analyser connected to a sampler. The dataset provided is a useful resource for researchers to study the structural dynamic behaviour of large thin plates in the frequency domain and to validate the effectiveness of wavenumber identification methods. Its value has been illustrated in the research paper “Algebraic K-Space Identification 2D technique for the automatic extraction of complex k-space of 2D structures in presence of uncertainty” [1]. The data collection was carried out during three weeks in April 2022 at the Ecole Central de Lyon.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111180"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drone imagery dataset for early-season weed classification in maize and tomato crops","authors":"Gustavo A. Mesías-Ruiz ,&nbsp;José M. Peña ,&nbsp;Ana I. de Castro ,&nbsp;José Dorado","doi":"10.1016/j.dib.2024.111203","DOIUrl":"10.1016/j.dib.2024.111203","url":null,"abstract":"<div><div>Identifying weed species at early-growth stages is critical for precision agriculture. Accurate classification at the species-level enables targeted control measures, significantly reducing pesticide use. This paper presents a dataset of RGB images captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) flying at an altitude of 11 m above ground level. The dataset covers various agricultural fields in Spain, focusing on two summer crops: maize and tomato. It is designed to enhance early-season weed classification accuracy by including images from two phenological stages. Specifically, the dataset contains 31,002 labeled images from the early-growth stage—maize with four unfolded leaves (BBCH14) and tomato with the first flower bud visible (BBCH501)—as well as 36,556 images from a more advanced-growth stage—maize with seven unfolded leaves (BBCH17) and tomato with the ninth flower bud visible (BBCH509). In maize, the weed species include <em>Atriplex patula, Chenopodium album, Convolvulus arvensis, Datura ferox, Lolium rigidum, Salsola kali</em> and <em>Sorghum halepense</em>. In tomato, the weed species include <em>Cyperus rotundus, Portulaca oleracea</em> and <em>Solanum nigrum</em>. The images, stored in JPG format, were labeled in orthomosaic partitions, with each image corresponding to a specific plant species. This dataset is ideally suited for developing advanced deep learning models, such as CNNs and ViTs, for early classification of weed species in maize and tomato crops using UAV imagery. By providing this dataset, we aim to advance UAV-based weed detection and mapping technologies, contributing to precision agriculture with more efficient, accurate tools that promote sustainable and profitable farming practices.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111203"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The dynamic Colombian sign language dataset for basic conversation LSC70","authors":"Jader Alejandro Muñoz Galindez,&nbsp;Leidy Verónica Villota Coral,&nbsp;Rubiel Vargas Cañas","doi":"10.1016/j.dib.2024.111213","DOIUrl":"10.1016/j.dib.2024.111213","url":null,"abstract":"<div><div>Sign language is a form of non-verbal communication used by people with hearing disability. This form of communication relies on the use of signs, gestures, facial expressions, and more. Considering that in Colombia, the population with hearing impairments is around half a million, a database of dynamic, alphanumeric signs and commonly used words was created to establish a basic conversation. For this purpose, 70 non-expert volunteers in Colombian Sign Language participated, and they were recorded against a clear background under uncontrolled lighting and clothing conditions. The dataset was named LSC70 and includes a six-frame transition in JPG format. It is organized into three parts: The first part contains alphanumeric signs at a resolution of 640×480 pixels; the second part includes word signs at a size of 640×480 pixels; and the third part focuses on the dominant hand in alphanumeric signs at 120×120 pixels. Through filtering that removed similar signs, the dataset now contains 35,208 frames with a total of 47 different signs. These images have been validated by experts at the University of Cauca and are available for free use within the research community.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111213"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11720433/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of data sets for modelling gender violence and perception of insecurity","authors":"Sandra Lucía Hernández Zetina ,&nbsp;Ana Belén Anquela Julián ,&nbsp;Ángel Esteban Martín Furones ,&nbsp;Carlos Martinez Montes ,&nbsp;Santos Fernández Noguerol","doi":"10.1016/j.dib.2024.111251","DOIUrl":"10.1016/j.dib.2024.111251","url":null,"abstract":"<div><div>The dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualitative variables obtained and processed from open data, georeferenced publications from a social media platform, and points located through participatory mapping sessions.</div><div>The data is structured in raw format, organized by country and city, and categorized according to the data source used while processing, which allows unrestricted access with most data analysis software and it does not depend on specific licenses. This format includes both geometric information and associated attributes allowing reusability and analysis in different environments.</div><div>Additionally, the release of this data allows developing models tailored to specific local contexts and represents a significant advance in open data access as stated in the Sustainable Development Goal 5 (SDG 5), especially in relation to indicator 5.2.2. In general, this indicator faces a lack of sufficient data for accurate measurement, which limits the ability to accurately assess and address gender-based violence. By providing an open and flexible resource, the dataset not only facilitates comparative research and informed policymaking, it also supports the international commitment for transparency and contributes to filling existing gaps in information on violence and insecurity.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111251"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11750520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143022363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power market","authors":"René Báez-Santana ,&nbsp;Miguel Aybar-Mejía ,&nbsp;Máximo A. Domínguez-Garabitos ,&nbsp;Víctor S. Ocaña-Guevara","doi":"10.1016/j.dib.2024.111225","DOIUrl":"10.1016/j.dib.2024.111225","url":null,"abstract":"<div><div>The electric power industry has an impact on fossil fuel consumption, which must be considered in decarbonization strategies. Energy systems optimization modelling can be applied to evaluate policy scenarios in the power sector to accelerate energy transitions. These modelling tools need data to simulate different scenarios in the power system to clarify the design of energy policies. For this reason, collecting and processing technical and economic data is needed to guarantee quality input for the modelling tools. This article presents a dataset for an optimization model of the generation mix and the energy demand in the power system of the Dominican Republic to determine the capacity value of variable renewable energy (VRE), i.e., wind and solar, that can serve as an incentive for these technologies. While the data corresponds to the Dominican Republic's power system, the method of collecting and processing data can be implemented in other countries. The data collected is an open-access database of the independent system operator, the power sector regulator, and utilities, as well as websites and databases of international organizations.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111225"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11750510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143022507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An ecological connectivity dataset for Black Sea obtained from sea currents","authors":"Nikolaos Nagkoulis ,&nbsp;Christos Adam ,&nbsp;Ioannis Mamoutos ,&nbsp;Stelios Katsanevakis ,&nbsp;Antonios D. Mazaris","doi":"10.1016/j.dib.2024.111268","DOIUrl":"10.1016/j.dib.2024.111268","url":null,"abstract":"<div><div>Incorporating ecological connectivity into spatial conservation planning is increasingly recognized as a key strategy to facilitate species movements, especially under changing environmental conditions. However, obtaining connectivity data is challenging, especially in the marine realm. Sea currents are essential for exploring marine structural connectivity, but transforming sea current data into spatial connectivity matrices involves complex and resource-intensive processing steps to ensure accuracy and usability. Here, an applied a graph-based methodology has been developed to transform current data into formats suitable for delineating ecological corridors and applied to Black Sea. The dataset produced can be integrated to spatial conservation prioritization tools to incorporate connectivity in the analysis. This approach involved converting current centroids into points and projecting current directions and magnitudes onto a nearest-neighbour graph connecting these points. Using open-source data from the Copernicus Black Sea Physics Reanalysis dataset from 1993 to 2023, a high-resolution dataset of graph objects (edge lists) and shapefiles (points and edges) for the Black Sea has been created. Analyses were conducted in R, and the algorithm developed to produce the data is accessible on Zenodo. The resulting datasets are compatible with multiple software platforms (e.g., R, Python, and QGIS). A total of 17 datasets are provided from 1993 to 2023: twelve for monthly, four for seasonal, and one for yearly aggregation, supporting diverse spatial and temporal analysis needs. Overall, the datasets can be used to analyse connectivity patterns across the entire Black Sea or focus on specific regions, particularly useful for ecological modelling, and environmental protection purposes.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111268"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Daily time series of 12 human thermal stress indices in Greece, aggregated at commune level (1998–2022)","authors":"Georgios Charvalis ,&nbsp;Michalis Koureas ,&nbsp;Chloe Brimicombe ,&nbsp;Chara Bogogiannidou ,&nbsp;Fani Kalala ,&nbsp;Varbara Mouchtouri ,&nbsp;Christos Hadjichristodoulou ,&nbsp;for HIGH Horizons Study Group","doi":"10.1016/j.dib.2024.111264","DOIUrl":"10.1016/j.dib.2024.111264","url":null,"abstract":"<div><div>In this paper we present a dataset that contains daily mean, maximum and minimum values of 12 heat stress indices averaged over Greek communes from January 1998 to December 2022. The heat indices contained in the dataset include Apparent Temperature (AT), Heat Index (HI), Humidity Index (Humidex), Normal Effective Temperature (NET), Wet Bulb Globe Temperature (simple version WBGT), Wet Bulb Globe Temperature (thermofeelWBGT), Wet Bulb Temperature (WBT), Wind Chill Temperature (WCT), Mean Radiant Temperature (MRT), and Universal Thermal Climate Index (UTCI) with two variations (UTCI indoor and UTCI outdoor).</div><div>To develop the dataset, we used hourly climate variables, acquired from the ERA5 and ERA5-Land datasets, produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which are accessible through the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) Application Program Interface (API) client. We used freely available python scripts and resources (HiTiSEA repository, thermofeel library), to calculate 12 heat stress indices for Greece at an enhanced spatial resolution of 0.1° × 0.1°. To facilitate geospatial analysis over the Greek communes, boundary data in shapefile format were obtained from the Hellenic Statistical Authority (ELSTAT). The execution of a built-in QGIS function was implemented to geospatially aggregate the NetCDF files of 12 daily mean, maximum and minimum, indices to 326 Greek communes for 9131 days.</div><div>The high spatial and temporal resolution of the data, makes the dataset appropriate for analysis and comparison of climate change impacts, heatwave patterns, and the development of climate adaptation strategies at a regional scale in Greece. Additionally, it can be used as a basis of a system to inform and devise targeted interventions and policies aimed at mitigating the effects of extreme heat events. The attribution of heat stress indices at the commune level (also referred as municipalities or municipal units), which is the lowest level of government within the organizational structure in Greece, enhances the usefulness of the data for statistical analysis against other parameters, such as epidemiological or socio-economic data, which are often available at this level. Finally, the dataset can support educational purposes, providing a practical example of climate data analysis and geospatial statistics applications.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111264"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}