cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25264774.v1
title: Camellia japonica CT slice images

description: We aim to obtain a three-dimensional (3D) structure of Camellia japonica flowers and propose a petal segmentation method using computer vision techniques. Petal segmentation on the slice images fails by simply applying the segmentation methods because the shape of the petals in slice CT images differs from that of the objects targeted by the latest instance segmentation methods. Moreover, because the number of images used to train the model is limited, it is difficult to apply segmentation methods that require a large amount of training data. To overcome these challenges, we crop long rectangles from the slice images and apply the segmentation method to segment the petals. Thanks to cropping, it is possible to segment the shape of the petals in the cropped images, and to increase training data. The experimental results show that the proposed method can segment petals on slice images with higher accuracy than the method without cropping. The 3D segmentation results were also obtained and visualized successfully.The authors would like to thank Suzuki and Ohtake Laboratory, Graduate School of Engineering, University of Tokyo, for CT data acquisition for this study.
DOI: 10.6084/m9.figshare.28604663.v1
title: Dataset DHS

description: Abstract Background Indonesia ranks third globally in leprosy, with the eastern part of the country, particularly Ambon, still reporting high prevalence rates. In Ambon, the capital city of Maluku Province, the prevalence is 8,27 per 10,000 persons, exceeding the national rate of 0,61. While multidrug therapy (MDT) including Dapsone remains the standard treatment for leprosy, it carries the risk of a severe adverse reaction known as Dapsone Hypersensitivity Syndrome (DHS). DHS has been reported in eastern Indonesia, sometimes with fatal outcomes, including in Ambon. Recent research suggests a link between the HLA-B 13*01allele and DHS. Therefore, this study aims to investigate the association between HLA-B*13:01 and DHS within Ambon and surrounding regions. Methods This case-control study included leprosy patients undergoing or having completed MDT therapy in Maluku. Cases were included if they met two or more Richardus and Smith’s criteria and were recruited from several hospital in Ambon and Tual Cities. Controls were leprosy patients with &gt;8 weeks of Dapsone exposure without DHS symptoms. Peripheral blood samples were collected, and DNA was extracted from lymphocytes using the QIAGEN QIAmp kit with a modified 2-hour incubation. HLA-B*13:01 genotyping was performed using PCR with specific primers, followed by gel electrophoresis and Sanger sequencing. Statistical analysis was performed using SPSS. Associations between categorical variables were assessed using the Chi-square test, with Fisher’s exact test used when expected cell counts were &lt;5. Significance was set at p&lt;0.05. Results A total of 8 cases and 53 controls were included. The HLA-B*13:01 was present in 100% of DHS cases and 6% of controls. Statistical analysis using Fisher’s exact test revealed a significant association between HLA-B*13:01 and DHS (p &lt; 0.001). Conclusions This study demonstrates a significant association between HLA-B 13*01 and DHS in Ambon’s leprosy patients. These findings support the potential use of HLA-B*13:01 as a screening tool to identify individuals at high DHS risk before dapsone initiation, potentially improve patient safety by preventing fatal adverse events, optimizing treatment outcomes for leprosy patients by avoiding delayed treatment, and ultimately reducing leprosy transmission rates in Ambon, its surrounding regions, and other high-prevalence areas.
DOI: 10.6084/m9.figshare.8343428.v2
title: Low level of exosomal long non-coding RNA <i>HOTTIP</i> is a prognostic biomarker in colorectal cancer

description: Molecular risk stratification of colorectal cancer can improve patient outcome. A panel of lncRNAs (<i>H19, HOTTIP, HULC</i> and <i>MALAT1</i>) derived from serum exosomes of patients with non-metastatic CRC and healthy donors was analyzed. Exosomes from healthy donors carried significantly more <i>H19, HULC</i> and <i>HOTTIP</i> transcripts in comparison to CRC patients. Correlation analysis between lncRNAs and clinical data revealed a statistical significance between low levels of exosomal <i>HOTTIP</i> and poor overall survival. This was confirmed by multivariate analysis that <i>HOTTIP</i> is an independent prognostic marker for overall survival (HR: 4.5, CI: 1.69–11.98, p = 0.0027). Here, <i>HOTTIP</i> poses to be a valid biomarker for patients with a CRC to predict post-surgical survival time.
DOI: 10.17632/2nbvx5m4hs
title: Tourism and Travel Reviews: Sri Lankan Destinations

description: Embark on a journey through a comprehensive collection of tourist reviews, capturing the essence of diverse travel destinations across Sri Lanka. This dataset is a treasure trove of insights into traveler preferences, sentiments, and experiences, making it an invaluable resource for researchers in the fields of tourism, hospitality, and sentiment analysis. It encompasses a rich tapestry of location details, user profiles, and review attributes, offering a multi-dimensional exploration of the traveler's world within Sri Lanka's stunning destinations.
DOI: 10.17632/cg4br62535
title: BEHACOM

description: This dataset contains the behavioural data of 12 different users freely utilising their personal computers. The data collection period is composed of 55 days of user interaction, each user having their own activity periods. Instructions: User behaviour is stored in csv comma separated format. Each user file is located in a different folder. To read each file, see scripts folder where there is a script for optimized csv file reading. Check readme file to see an explanation of each feature.
DOI: 10.17632/vhs8rwm5ws
title: Customer enrollment and participation in building demand management programs: A review of key factors

description: Increasing the efficiency and flexibility of electricity demand is necessary for ensuring a cost-effective and reliable transition to zero-carbon electricity systems. Such demand-side management (DSM) resources have been procured by utilities for decades via energy efficiency and demand response programs; however, the key drivers of program enrollment and customer participation levels remain poorly understood --- even as governments and grid planners seek to scale up the deployment of DSM assets to meet climate targets. Here we systematically review the evidence on multiple factors that may influence customer enrollment and participation in building DSM programs, focusing primarily on residential and commercial buildings. We examine the contexts in which relationships between DSM factors and outcomes are most often explored and with which methods; we also score the strength, direction, and internal consistency of each factor's reported impact on the enrollment and participation outcomes. We find that studies most commonly assess the effects of economic incentives for load flexibility on program participation levels, often using simulation-based methods in lieu of measured data. Few studies focus on program enrollment outcomes or regulatory drivers of either enrollment or participation, and gaps are also evident in the coverage of emerging DSM opportunities like load electrification. Removal of structural barriers (e.g., the lack of controls infrastructure) and the use of third party services (e.g., load aggregators) are the factors with the largest positive impacts on DSM outcomes, but no single factor emerges as clearly most impactful. For a given factor, the range of reported impacts typically varies widely across the relevant studies reviewed. Our findings provide a snapshot of the state of knowledge about building DSM and customer decision-making, and they expose key gaps in understanding that must be filled if building DSM is to expand as a critical resource for operating clean power grids.

Files in this record:

- "ENB-D-24-00887 Data.xlsx" (search strings, screened paper citations, scored paper citations, scoring template, scoring categories, and final scoring data for the article.)
DOI: 10.6084/m9.figshare.12739133.v1
title: Individual differences in the neural strategies to control the lateral and medial head of the quadriceps during a mechanically constrained task

description: This repository contains all the raw HD-EMG data, the extracted and manually edited motor units, and the binary spike trains used to calculate the within- and between-muscle coherence.<br><br>Contact: <br>Francois Hug (francois.hug@univ-nantes.fr)Simon Avrillon (savrillon@sralab.org)<br>=================================<br><br>FILE NAME: Decomposition_results.zip <br>This compressed file contains raw data for each muscle. Motor units were identified and manually edited (FH and SA) using the DEMUSE tool (v4.9; The University of Maribor, Slovenia)<br> [participant_number]_[muscle]_edited_v1.mat These files can be opened with Matlab 2015b (Mathworks) or the DEMUSE tool. VARIABLES (only the variables used in the manuscript are described below) :<br> - DecompRuns: number of decomposition runs (50 for most of the files) - discardChannelsVec: discarded channels for the 13*5 EMG grid (ELSCH064NM2, SpesMedica, Battipaglia). "1" means that the channnel has been discarded due to noise/artifacts. Note that one electrode was absent on a corner [1,1]. - fsamp: sampling rate - IED: inter-electrode distance - IPTs: Innervation Pulse Rrain (IPT, i.e. train of motor unit discharge times as estimated by the gCKC decomposition technique - MUPulses (1*number of motor units array). For each identified units, there is a vector of motor units discharge times (in datapoint). - PNR: Pulse-to-noise ratio for each identified MU - ref_signal: force signal (not calibrated) - SIG (13*5 cell array): raw EMG signal organised on a 13*5 cell array. Each cell corresponds to an EMG channel. - SIGlength: duration of the signal in seconds<br>=================================<br><br>FILE NAME: Data.mat<br>The file data.mat contains a structure of cells with torque data and the binary spike trains from the 22 participants. They are the data used to calculate the within- and between-muscle coherence.<br><br>In the first level of the structure, there are 22 cells where each cell is a participant. e.g., Data{4,1} is the data for participant #4.<br>In the second level of the structure, there is a matrix of cells with 2 lines and 4 columns.<br>Each line is a muscle with line 1 = VL and line 2 = VM.<br><br>Columns 1, 2 and 3 are the data for contractions 1, 2, and 3. Column 4 is the concatenate data for coherence analysis.<br><br>e.g., Data{4,1}{1,2} is the data for the VL during the second contraction from participant #4.<br><br>In the third level, you can find a matrix with torque data and motor unit binary spike trains<br><br>Line 1 = Time<br>Line 2 = Torque<br>Line 3:end = binary spike trains (one motor unit per line)<br><br>e.g., Data{4,1}{1,2}(2,:) is the torque during the second contraction from participant #4.<br><br>e.g., Data{4,1}{1,2}(3,:) is the binary spike train of motor unit #1 of the VL during the second contraction from participant #4.<br>
DOI: 10.17632/zw6wrx4xm7
title: Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater.

description: The dataset currently available comprises the rate of heavy metal removal by pervious concrete incorporation seashell and palm oil kernel shells from stormwater. Stormwater runoff was collected from commercial area at Taman University, Skudai, Johor, Malaysia. The stormwater sample underwent filtration and was preserved in high-density polyethylene (HDPE) bottles at a temperature of 4°C for use as the incoming water. The outgoing water, referred to as effluent, was obtained from tests performed on pervious concrete samples after a curing period of 28 days. The previous concrete mixes were created with a water-to-binder ratio (w/b ratio) of 32% and a sand ratio of 10%, respectively, three palm oil kernel shell and seashell contents, namely, 0, 25 and 50% as coarse aggregate replacement, two median particle sizes of both palm oil kernel shell and seashell, namely (6.3-9.5 mm) and (4.75-6.3 mm. Heavy metal analyses were measured on influent and effluent by a Perkin Elmer ELAN 6100 Series Inductive Coupled Plasma–Mass Spectrometer (ICP-MS). The available datasets are raw and analyzed data.
DOI: 10.6084/m9.figshare.22455616.v1
title: Full Dataset prior to Cleaning

description: This dataset includes all of the data downloaded from GBIF (DOIs provided in README.md as well as below, downloaded Feb 2021) as well as data downloaded from SCAN. This dataset has 2,808,432 records and can be used as a reference to the verbatim data before it underwent the cleaning process. The only modifications made to this datset after direct download from the data portals are the following: <br> 1) for GBIF records, I renamed the countryCode column to be "country" so that the column title is consistent across both GBIF and SCAN 2) A source column was added where I specify if the record came from GBIF or SCAN 3) Duplicate records across SCAN and GBIF were removed by identifying identical instances "catalogNumber" and "institutionCode" 4) Only the Darwin core columns (DwC) that were shared across downloaded datasets were retained. GBIF contained ~249 DwC variables, and SCAN data contained fewer, so this combined dataset only includes the ~80 columns shared between the two datasets <br> ------------- <br> For GBIF, we downloaded the data in three separate chunks, therefore there are three DOIs. See below: <br> GBIF.org (3 February 2021) GBIF Occurrence Downloadhttps://doi.org/10.15468/dl.6cxfsw GBIF.org (3 February 2021) GBIF Occurrence Downloadhttps://doi.org/10.15468/dl.b9rfa7 GBIF.org (3 February 2021) GBIF Occurrence Downloadhttps://doi.org/10.15468/dl.w2nndm
DOI: 10.6084/m9.figshare.24249631.v4
title: Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective

description: This item contains the replication package related to the paper "<b>Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective</b>". The package is organized into several directories, each containing specific types of files such as interviews, survey, and analysis notebooks.
DOI: 10.6084/m9.figshare.25404685.v1
title: xuewei

description: Upon deduplication, the acupoint combinations from the file titled "Prescription of Acupoint Combinations" have been saved in a file named "xuewei." In this file, each line corresponds to a unique acupoint prescription.
DOI: 10.6084/m9.figshare.5931697.v1
title: An Innovative Structural Fatigue Monitoring Solution for General Aviation Aircraft

description: ABSTRACT: This article proposes a novel and effective solution for estimating fatigue life of General Aviation (GA) airframes using flight data produced by digital avionics systems, which are being installed or retrofitted into a growing number of GA aircraft. In the proposed implementation, a flight dynamics model is adopted to process the recorded flight data and to determine the dynamic loadings experienced by the aircraft. The equivalent loading cycles at fatigue-critical points of the primary structure are counted by means of statistical methods. For validation purposes, the developed approach is applied to flight data recorded by a fleet of Cessna 172S aircraft fitted with a Garmin G1000 integrated navigation and guidance system. Based on the initial experimental results and the developed uncertainty analysis, the proposed approach provides acceptable estimates of the residual fatigue life of the aircraft, thereby allowing a cost-effective and streamlined structural integrity monitoring solution. Future developments will address the possible adoption of the proposed method for unmanned aircraft structural health monitoring, also considering the accuracy enhancements achievable with advanced navigation and guidance architectures based on Global Navigation Satellite Systems (GNSS), Vision-Based Navigation (VBN) Sensors, Inertial Measurement Units (IMU) and Aircraft Dynamics Model (ADM) augmentation.
DOI: 10.17632/sx9xxkkfxj
title: Implant stability measurement between resonance frequency analysis device and a novel damping capacity analysis device

description: Peak insertion torque (PIT); peak removal torque (PRT); implant stability quotient (ISQ) value; and implant stability test (IST) value
DOI: 10.6084/m9.figshare.25574634.v1
title: Dataset_Higher education students' use of online learning resources.sav

description: Database includes data on online learning resources use of 1699 higher education students, including 56 special educational needs students. Measures of ICT- related beliefs, self-efficacy and perceived barriers are also in the dataset. Dataset was gathered in 2017 in Slovenia. It includes students from diverse disciplinary fields.
DOI: 10.6084/m9.figshare.27183717.v2
title: Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples

description: Confussion matrices from 3 studies where different classification algorithms were employed including PLS-DA, K-NN, SVM, SIMCA and ANN. Studies used raw fiber, yarn and fabric samples.
DOI: 10.6084/m9.figshare.28582013.v1
title: Supplementary Material for: Cost-minimization study of glue versus sutured mesh fixation in laparoscopic sacrocolpo(recto)pexy.

description: Objectives: 

To conduct a cost-minimization analysis of laparoscopic sacrocolpo(recto)pexy (LSCP) using either synthetic glue or sutures alone for mesh fixation. 

Design: 

A cost-minimization study comparing two single-center consecutive cohorts (n=20 each), evaluating differences in consumables and operating room costs for laparoscopic sacrocolpo(recto)pexy, performed either with sutures alone or synthetic glue for mesh fixation (January 2021 to December 2021). 

Participants: 

All patients underwent LSCP using the same standardized technique performed by one of two gynecologic surgeons experienced in LSCP (≥50 procedures per year), both proficient in using sutures or glue for LSCP, to minimize any learning curve bias. 

Methods: 

Consumables costs associated with mesh fixation were prospectively recorded. Additional patient data were extracted from the electronic medical record. Statistical analysis was performed using GraphPad Prism. The chi-square test or t-test were applied as appropriate, with a significance level set at p &lt; 0.05. 

Results 

In the sutures-only group, consumables costs were €194.54 ± 38.76, compared to €298.16 ± 31.59 in the glue group (p &lt; 0.0001; 95% CI [81.80, 125.4]). The mean procedure time was significantly shorter in the glue group (34.6 ± 6.2 minutes vs. 51.3 ± 12.7 minutes; p &lt; 0.0001; 95% CI [-23.19, -10.21]), reducing operating room maintenance costs by 32% (€477.22 ± 85.63 vs. €707.22 ± 175.14). Based on the consumables and operating room maintenance costs (€826.35 per hour) and time usage, the sutures-only method cost €901.76 ± 171.97 compared to €775.37 ± 86.62 for the glue group. In our setting, this translates to a cost saving of €126.39 per patient (-14%) when using glue (p &lt; 0.0001; 95% CI [-214.6, -38.19]). 

Limitations 

The numbers above are specific to our setting. Our findings are also specific to laparoscopic approaches and cannot be directly applied to robotic sacrocolpopexy, as suturing times and operating room maintenance costs would differ significantly. 

Conclusions 

Using synthetic glue for mesh fixation increases consumables costs but reduces procedure time, resulting in overall cost savings that favor glue-based mesh fixation. These findings align with previous studies demonstrating reduced operation times with the use of glue. Our study is the first to formally assess and compare the costs of both techniques. We believe the overall cost saving is widely generalizable. To calculate the local impact, one can use the proportional differences reported here and substitute local consumables and operating room costs.
DOI: 10.6084/m9.figshare.28727237.v1
title: Repeat Regions in <i>Amphidinium carterae</i>

description: Repeat regions in the <i>Amphidinium carterae</i> genome, mapped by RepeatMasker
DOI: 10.6084/m9.figshare.15001200.v1
title: Lineage-Specific Core and Niche Differentiating Traits

description: Table of core and niche differentiating traits for each phyla
DOI: 10.6084/m9.figshare.24082617.v1
title: Pollen-based Holocene vegetation reconstruction.xlsx

description: Beginning in the middle to late Holocene, anthropogenic land cover change has had a profound impact on both regional and continental environments. Hence, assessing temporal and spatial differences in the intensity of human activity in different regions and geomorphologic contexts has become a focus of current global change research. Here we use two representative pollen records from different geomorphologic units in North China (Lake Gonghai in the mountains, and Lake Daihai in a large basin) together with a novel methodology to quantitatively reconstruct Holocene land cover changes. The results indicate diverse vegetation succession patterns in different regions and geomorphologic contexts. In the Daihai basin, the vegetation cover changed relatively little, maintaining values of 45–50%, and only increased during the interval of 8–5.1 ka, when it attained a maximum of 67%. In the Gonghai area, the vegetation cover remained at a higher level at 70–80% for an extended interval, before decreasing substantially to 58% after 1.4 ka. We propose that changes in the intensity of human activities was a major cause of the observed regional disparities in vegetation succession. Comparison of the results with records of prehistoric human activity shows that, prior to 5.1 ka, land cover change (especially of the vegetation composition) in the Daihai basin evolved naturally, under the influence of climate. Then, during ~ 5.1–2.8 ka, a transitional stage occurred, driven by both climate change and human activities. Finally, from ~ 2.8 ka to the present, human activities dominated the pattern of vegetation change. In contrast, land cover change in the alpine Gonghai area was controlled by natural processes until 1.4–1.3 ka, when human activities exceeded the influence of natural variability and became the dominant factor controlling local vegetation development. In larger basin/plain areas, the favorable climatic conditions of the mid-Holocene promoted increased human activity; while later, population pressure, the increased demand for resources, and political factors may have triggered the diffusion of human populations from basins to the mountains or previously undeveloped areas, with resulting effects on their vegetation succession. The anthropogenic impacts have dominated the natural environment of mountainous areas in north-central China for at least the last 1,300 years.
DOI: 10.6084/m9.figshare.26968639.v1
title: Adverse events associated with selumetinib use.xlsx

description: A total of 546 reports of selumetinib as the "primary suspected (PS)" and 1,437 cases of selumetinib-induced AEs were identified. 42 AE signals were detected at the PT level after complying with four algorithms simultaneously.