cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9z8k2f95f6
title: Revolutionizing COPD and Asthma Management with Artificial Intelligence

description: Revolutionizing COPD and Asthma Management with Artificial Intelligence
Yudi Kurniawan Budi Susilo1*, Shamima Abdul Rahman2, 
1Faculty of Business and Technology, University of Cyberjaya, 63000 Cyberjaya , Selangor, Malaysia
2Centre for Research and Graduate Studies, University of Cyberjaya, 63000 Cyberjaya , Selangor, Malaysia

Authors’ email: yudi299@gmail.com*, shamima@cyberjaya.edu.my

*Corresponding author

Abstract: The integration of artificial intelligence (AI) into the management of chronic obstructive pulmonary disease (COPD) and asthma offers significant advancements in patient care, diagnosis, and treatment personalization. AI technologies, particularly machine learning and deep learning, have shown great promise in predictive modeling, enabling earlier detection and more accurate diagnoses. AI-driven tools, such as telemedicine and remote monitoring applications, are helping clinicians provide personalized care and manage these conditions more effectively, especially for high-risk patients. Additionally, AI's ability to analyze vast datasets, including electronic health records and medical imaging, allows for more dynamic and adaptive treatment plans tailored to individual patients' needs. However, challenges remain, such as ensuring data privacy, addressing ethical concerns, and developing standardized regulatory frameworks to support the implementation of AI in clinical settings. Despite these challenges, the potential of AI to revolutionize COPD and asthma management is vast, and continued research and collaboration will be critical in overcoming these barriers and enhancing healthcare outcomes for patients worldwide.
Keyword: Artificial Intelligence (AI), Chronic Obstructive Pulmonary Disease (COPD), Asthma Management, Machine Learning (ML), Remote Monitoring
DOI: 10.4121/13065359.v2
title: Bed elevation and bed surface grain size (D50) Bovenrijn and Waal, 1926-2020

description: Bed elevation has been measured annually by Rijkswaterstaat since 1926, with single beam echo sounders until 1999, and multibeam echo sounders since 1999. Single beam measurements were taken at cross sections spaced 25 m, and were averaged over 1 km. Multibeam measurements covered the entire length of the river, and were averaged over 100 m. All bed elevation data are cross-section averaged. The error in bed elevation data (defined as two times the standard deviation) has been estimated to be up to 0.2-0.5 m until 1990; 0.2-0.3 m, between 1990-1999, and 0.05-0.1 m since 1999 (Wiegmann, 2002) Grain size data has been measured by Rijkswaterstaat, using a digging bucket until 1984, and grab samplers since 1984. The data set includes measurements from 1966, 1976, 1984, 2008, 2016, 2017, and 2020. Samples have been taken at cross-sections spaced 500 m to 1 km. Three samples (spaced 65 m) have been taken at each cross section. The uncertainty of grain size data is high due to the high natural spatio-temporal variability and limited spatial and temporal sampling density.<br>
DOI: 10.6084/m9.figshare.15015261.v1
title: Supplementary Material for: Twenty Years of Radiation Therapy of Unresectable Intrahepatic Cholangiocarinoma: Internal or External? A Systematic Review and Meta-Analysis

description: <b><i>Purpose:</i></b> Both external beam radiation therapy (EBRT) and selective-internal radiation therapy (SIRT) are implemented to treat unresectable intrahepatic cholangiocarcinoma (iCCA). The present study aimed to evaluate the efficacy of EBRT and SIRT in managing iCCA through a systematic review and meta-analysis. <b><i>Methods:</i></b> PubMed and Cochrane database were queried to search for studies published from January 2000 toJune 2020 without language restrictions. Median survival time, overall survival, and radiological response were extracted. Secondary outcomes such as complication rates, predictors of survival, and downstage to surgery were pooled. Patient-level survival data were obtained to generate Kaplan-Meier survival graph. Pooled outcomes were analyzed with a random-effect model. <b><i>Results:</i></b> Twenty-nine and 20 studies including 732 and 443 patients from the SIRT and EBRT groups were included in the present study. From initial radiation treatment, the median survival time for patients who underwent SIRT and EBRT were 12.0 (95% confidence interval [CI]: 10.8–14.6) and 13.6 (95% CI: 11.1–16.0) months, respectively. As first-line therapy, the median survival time was 36.1 (95% CI: 20.6–39.5) months for SIRT and 11.0 (95% CI: 9.3–13.6) months for EBRT. Both radiation modalities were effective in downstaging initially unresectable iCCA to surgery (SIRT: 30.5%; EBRT: 18.3%). Patients in the SIRT group encountered more post-embolization abdominal pain (6.9 vs. 2.2%), ulcer (1.0 vs. 0.5%), nausea (1.6 vs. 0.7%), anorexia (5.9 vs. 0%), thrombocytopenia (7.3 vs. 6.0%), hyperbilirubinemia (5.2 vs. 2.1%), and hypoalbuminemia (13.2 vs. 3.3%), whereas EBRT was associated with higher rates of anemia (0.6 vs. 7.5%) and neutropenia (6.5 vs. 11.0%). <b><i>Conclusions:</i></b> Both EBRT and SIRT were safe and effective in treating unresectable iCCA. However, available evidence was highly heterogeneous regarding patient population, limiting fair comparison between 2 radiation modalities. Future high-quality comparative studies are warranted.
DOI: 10.6084/m9.figshare.7330502.v1
title: Human Convalescent Serum Sample after WNV seroconversion.

description: Human Convalescent Serum Sample collected after WNV seroconversion.
DOI: 10.6084/m9.figshare.12652058.v1
title: Species data

description: Species data
DOI: 10.6084/m9.figshare.28667843.v2
title: Dataset of Brand Image and Trust as Drivers of Brand Loyalty

description: In an era of globalization and advancing digitalization, the automotive industry faces intense competition, necessitating a strong focus on brand image and brand trust to secure customer loyalty. This study investigates the relationships between Brand Image, Brand Trust, and Brand Loyalty in Indonesia’s automotive industry, focusing on PT Toyota Astra Motor. Using Social Exchange Theory (SET) and Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 126 respondents were analysed. Results show that Brand Trust strongly influences Brand Loyalty (β = 0.694, p = 0.000), while Brand Image affects Brand Loyalty (β = 0.276, p = 0.000), primarily through its impact on Brand Trust (β = 0.686, p = 0.000). These findings highlight that while a positive brand image attracts consumers, trust is key to sustaining loyalty. Managerially, Indonesian car manufacturers should enhance trust through product quality, transparency, and after-sales services, while strengthening brand image via CSR and digital engagement. Limitations include a cross-sectional design and a geographically limited sample (East Jakarta), affecting generalizability. Future research should expand sampling, adopt longitudinal methods, and integrate qualitative insights to explore evolving consumer-brand relationships
DOI: 10.6084/m9.figshare.5752650.v1
title: Mistimed feeding and sleep alters 24 hour time-of-day patterns of the human plasma proteome

description: This is a plasma proteomics data set derived from a laboratory controlled study simulating night shift-work. Samples were collected every 4h across 24h during circadian alignment and circadian misalignment study days. The proteomic data was generated using the SomaLogic platform. All subjects provided written informed consent prior to participation and all procedures were approved by the Colorado Multiple Institutional Review Board.
DOI: 10.6084/m9.figshare.25288061.v1
title: Guidance for data-center CFD (RP-1675)

description: This article reviews and summarizes research conducted during and related to ASHRAE RP-1675, Guidance for Data Center CFD. The ultimate objective is to provide users and vendors of computational fluid dynamics (CFD) tools with best-practice modeling advice to support greater adoption of the technology to design and operate reliable and sustainable facilities. RP-1675 identified and developed good CFD modeling practices by benchmarking CFD simulations against experimental measurements for a “laboratory data center,” considering past and concurrent research, and performing additional sensitivity studies in CFD. This article provides a detailed review of the experimental and CFD work conducted during RP-1675, which focused on the modeling of computer room air handler units (CRAHs) with vertical-axis blowers located in the raised-floor plenum, and modeling perforated floor tiles, and raised-floor stanchions. This article ultimately summarizes current guidance for data-center CFD.
DOI: 10.6084/m9.figshare.26103028.v1
title: ChIP-seq with anti-PGC-1α antibody and omics analyses in cardiac specific PGC-1α knockout mice related to TCA cycle

description: ChIP-seq with anti-PGC-1α antibody. Occupancy of PGC-1α in entire gene body of TCA cycle genes are shown. Arrow indicates transcription start site. Raw data showing metabolites levels in TCA cycle of cardiac specific PGC-1α knockout mice are shown. Raw data of proteome analyses showing protein levels of TCA cycle enzymes in cardiac specific PGC-1α knockout mice are shown.
DOI: 10.6084/m9.figshare.14531385.v4
title: Rare and endangered plants in serpentine forest in Poland - data.

description: Phytosociological data to paper proposed to publication in Diversity journal coce
DOI: 10.17028/rd.lboro.8912705.v1
title: Supplementary Information Files for "Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events"

description: Supplementary Information Files for "Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events"<br>Abstract:The main focus of this paper is the novel use of Artificial Intelligence (AI) in natural disaster, more specifically flooding, to improve flood resilience and preparedness. Different types of flood have varying consequences and are followed by a specific pattern. For example, a flash flood can be a result of snow or ice melt and can occur in specific geographic places and certain season. The motivation behind this research has been raised from the Building Resilience into Risk Management (BRIM) project, looking at resilience in water systems. This research uses the application of the state-of-the-art techniques i.e., AI, more specifically Machin Learning (ML) approaches on big data, collected from previous flood events to learn from the past to extract patterns and information and understand flood behaviours in order to improve resilience, prevent damage, and save lives. In this paper, various ML models have been developed and evaluated for classifying floods, i.e., flash flood, lakeshore flood, etc. using current information i.e., weather forecast in different locations. The analytical results show that the Random Forest technique provides the highest accuracy of classification, followed by J48 decision tree and Lazy methods. The classification results can lead to better decision-making on what measures can be taken for prevention and preparedness and thus improve flood resilience<br>
DOI: 10.25452/figshare.plus.25114565.v1
title: Dataset supporting Figure 5 in "Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice"

description: Contains data from a single 1-photon widefield imaging experiment and a single Thorlabs mesoscope 2-photon imaging session from a side mount mouse, corresponding to Figure 5. Included files contain imaging data, behavioral data, and python files with combined neurobehavioral data.Note that session names have the following format: "mouse#_bigEndianDate_cage#_info_session#_attempt#".Raw mesoscope imaging data is included in ScanImage rendered format as single big tiffs with the following nomenclature: "filename_2D.tiff".Mouse face and body cam images are included as standalone or concatenated .avi movie files, and behavioral data is included both as Spike2 files (smrx) and in exported form at Matlab data files (.mat).In all cases the first frame of the 2-photon movie, the right face/body movie, and Spike2 data are aligned to the first Labview-issued frameclock trigger (also recorded in Spike2, along with all other frameclock events). 2-photon triggers were sometimes incorrectly recorded in Spike2 (generally we recorded these as both events and waveforms), but were in all cases additionally exported from ScanImage tiff metadeta as timestamps (csv files ending in <i>header.csv). </i>Session start-time timestamps, also exported from ScanImage tiff metadata, appear as .txt files ending in "_starttime.txt".Preprocessed data (python) can be found in npy files with various names, each containing different subsets of variables relevant to the analysis. For each session, the npy file containing the string "standard_frames" contains the most complete, final stage set of preprocessed neurobehavioral data (in combined DataFrame format, exportable to nwb), including CCF/MMM alignments. The file containing the string "nb_dump" contains a large set of auxilliary variables that may be needed for additional preprocessing.Additional image files (tiff, png) and excel worksheets (xlsx, csv) containing high-level data summaries and records of intermediate analysis steps are also included.Please contact the authors for any additional clarifications as needed.See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.7052513
DOI: 10.6084/m9.figshare.6553610.v1
title: vespidae concatenated datasets

description: The 235 and 378 loci concatenations used for phylogenetic analyses.
DOI: 10.17632/7fhftzz5tz
title: Surroundings impact on terpene stability in terpene-infused pre-rolled cones: the role of temperature, humidity, and light exposure

description: Terpene-infusion on pre-rolled cone paper is performed to enhance the flavor of the product related to herbal cigarettes. However, the high volatility of terpene causing its content lost from the product before reaching consumers. The loss of terpene could be attributed to the improper storage environmental condition. This data set contain the degradation data points that depicted the rate of terpene loss due to several environmental factors, including humidity, lux intensity, and temperature.
DOI: 10.17632/hfrbccvvdh
title: How the second wave of Covid-19 in India impacted the global airline industry? An event study approach on the recent air travel restrictions to India

description: The data consists of the abnormal returns and firm-specific characteristics of 88 listed airline companies across 37 countries. Our sample is approximately 84 percent of the total listed airline stocks worldwide. We provide the list of listed global airline companies, the dates on which the information of travel restrictions/bans became public, the abnormal returns and cumulative abnormal returns of the 88 sample firms. We also provide the firm-level variables used for the regression analysis.
DOI: 10.6084/m9.figshare.10026164.v1
title: DNA Damage by Endogenous and Exogenous Aldehydes

description: The present overview describes the formation of deoxyribonucleic acid (DNA) adducts from endogenous and exogenous aldehydes, such as acetaldehyde, acrolein, crotonaldehyde, malonaldehyde, 4-hydroxy-2-nonenal and 2,4-decadienal. Malonaldehyde reacts with 2’-deoxyguanosine, 2’-deoxyadenosine, and 2’-deoxycytidine, yielding cyclic pyrimidopurinone and acyclic adducts. The direct addition of ɑ,β-unsaturated aldehydes to DNA bases yields cyclic substituted propano adducts, such as 1,N2-propano-2’-deoxyguanosine. Alternatively, ɑ,β-unsaturated aldehydes can be oxidized to reactive epoxides, giving ethano or etheno derivatives upon reaction with DNA. In addition, information on highly sensitive techniques, employed for the in vivo detection and quantification of DNA-aldehyde adducts, is also provided. Some of these DNA-aldehyde lesions have been shown to be highly mutagenic. In fact, lipid peroxidation and exogenous aldehyde exposure could potentially account for the observed carcinogenicity of urban air pollution and cigarette smoke exposure.
DOI: 10.6084/m9.figshare.5477902.v1
title: Supplementary Material for: Mirror Artifacts in Obstetric Ultrasound: Case Presentation of a Ghost Twin during the Second-Trimester Ultrasound Scan

description: Mirror artifacts are produced by the reflection of ultrasound waves after they propagate through a structure and encounter a strong and smooth interface capable of acting as a mirror. Ultrasound waves bounce back and forth between the mirroring interface and the reflective object and then eventually return to the transducer. The typical display of the mirror artifact consists of two similar structures separated and at similar distances from the reflective interface. We report a mirror artifact in a patient with a singleton gestation at 18 weeks. The image was interpreted as consistent with a twin gestation using transabdominal and transvaginal ultrasound. The differential diagnosis consisted of an abdominal heterotopic pregnancy. The presence of synchronized but opposite movements of both fetuses, and the blurred image of the second fetus, suggested a mirror artifact. The reflective surface was created by the interface located between a distended rectosigmoid filled with gas and the posterior uterine wall. Mirror artifacts can lead to diagnostic errors. This case illustrates how a distended rectosigmoid colon can generate an image that simulates either a twin gestation or an abdominal heterotopic pregnancy.
DOI: 10.6084/m9.figshare.28509311.v5
title: Detailed U.S. Federal Civil Position Postings (2018-2023)

description: Data and Dofiles/Jupyter Notebook for the Detailed U.S. Federal Civil Position Postings (2018-2023) Table
DOI: 10.6084/m9.figshare.9848084.v1
title: MSE Survey Open Data (2018) [Excel]

description: Although Jordan’s economy is dominated by micro and small enterprises (MSEs), relatively little is known about them. To overcome this informational gap, USAID LENS conducted a survey of MSEs in 2014, 2015, and 2018 to better understand Jordanian enterprises and to assess the major barriers and opportunities for growth. The study covers general demographics, workforce trends, firm performance, access to finance, processes and networks, and the impact of the Syrian refugee crisis.<br><br>The survey consists of a range of questions in a two-stage design with stratification. The data gathers representative information for all MSEs operating in the governorates of Amman (excluding the Greater Amman Municipality), Zarqa, Irbid, Karak, Tafilah, and Aqaba (excluding the ASEZA free zone). Although the study is not intended to be national in scope, the target population of the six areas collectively capture 60% of the kingdom’s population.<br>As a complex survey, the research design was undertaken using probability sampling in two phases. In the first phase, 977 geographic clusters were randomly selected from districts in each area. From these clusters, 97,347 households were contacted through door-to-door interviews, of which 10,197 reported owning a business. A sub-sample of 6,385 MSEs was then drawn, stratified by sector governorate. 4,721 of these MSEs were then successfully surveyed in wave I (2014/15) and 1699 in wave II (2018). The results can reliably be generalized to all MSEs within this geographic boundary. For more details, see the weighting report (2018)<br>The public release of the MSE Survey (2018) includes the majority of the data collected in the core 2018 sample. However, to protect privacy of respondents, a number of sensitive and identifying variables have been omitted and generalized. To request access to a full scientific release without these limitations, please contact:<br><br>Bryanna Millis,Senior Technical Advisor, FHI 360bmillis@fhi360.org<br>
DOI: 10.17632/jw72x8pxn5
title: Multimineral coupling reveals the iron–sulfur cycle in a receding methane seep

description: Many studies have aimed to establish various minerals as archives of paleo- and modern methane seeps. Furthermore, the Fe-S cycle in methane seeps has attracted attention for a long time. The predominant biogeochemical reaction in methane seeps is sulfate reduction coupled with the anaerobic oxidation of methane, which mainly occurs in the sulfate–methane transition zone (SMTZ). The H2S generated from this reaction combines with active iron in the sediments and eventually forms pyrite (FeS2). Here, we studied a core with a length of 14 m sampled from the Shenhu area, South China Sea, via multiple methods, such as SEM and EDS tests and AMS 14C dating of planktonic foraminifera. By evaluating the presence of various minerals, we found two paleo-SMTZs, which means that there were two methane seepage events. AMS14C dating and the carbon and oxygen isotopic test for planktonic foraminifera indicated successive sedimentation from MIS3 to MIS1. The low correlations between pyrite and TOC and δ13CTOC indicated that OSR was not the dominant biogeochemical reaction in this core. The increasing contents of pyrite and the mean diameter as well as the standard deviation of framboid and cubic pyrite found in several depth intervals and the extremely negative δ34S value of hand-picked pyrite indicated that both SMTZs were situated at or near the surface of the seafloor. The vast elemental sulfur that was distributed throughout the core (especially in the SMTZ) implied that the methane seep activity had subsided. Moreover, the intermediate species formed during pyrite and framboid goethite formation (pyrite pseudomorphs) that were discovered in various intervals further confirmed this viewpoint. Based on these results, we further concluded that the Fe-S cycle in this unique core was directly influenced by changes in the SMTZ position. High pyrite contents and larger framboids formed when methane flux intensified. After the methane seep activity weakened and the SMTZ migrated to deeper sediments, previously formed pyrite was oxidized by oxygen-containing seawater and thus formed intermediate species and ultimately Fe (hydrogen) oxide (especially framboid goethite). Therefore, our results provide a unique reference to establish a relatively complete Fe-S cycle through diverse sulfur- and/or iron-bearing minerals.
DOI: 10.6084/m9.figshare.11852706.v1
title: Three-dimensional S-wave Velocity Structure of Central Japan Estimated by Surface-wave Tomography Using Ambient Noise

description: <pre><pre>You can download the 3D S-wave velocity structure model.</pre></pre><pre>The data include<br> 1 2 3 4<br> 1 Latitude Longitude depth Vs<br> 2 Latitude Longitude depth Vs<br> : : : : :<br> : : : : :<br></pre>
DOI: 10.6084/m9.figshare.28311545.v2
title: Data and R codes for Ecological similarities and dissimilarities between donor and recipient regions shape global plant naturalizations

description: Data and code for Fan et al. Ecological similarities and dissimilarities between donor and recipient regions shape global plant naturalizations
DOI: 10.17632/g5cgmk8f2b
title: IJHRM 2024
DOI: 10.6084/m9.figshare.10320983.v1
title: wildtype_parameters

description: Wildtype collagen topology file (.itp) and head link file (.top).
DOI: 10.6084/m9.figshare.14890902.v2
title: Cross-species comparative analysis - Drop-Seq

description: An integrated Drop-Seq data (lymph gland and circulating hemocytes of Drosophila) used in the cross-species analysis.
DOI: 10.6084/m9.figshare.16540284.v1
title: Rhizopus_delemar_V4_AnnotationFiles

description: Annotation files for Rhizopus delemar
DOI: 10.6084/m9.figshare.24723756.v1
title: R Scripts and data used for peer-reviewed paper.

description: These analyses focus on assessing the comparative bias and precision of citizen-science derrived estimates of density and population size using structured surveys to account for imperfect detection. Three general frameworks were examined. See paper for more information.