cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5128456.v1
title: Supplementary Material for: Ultrasound Characteristics of Symptomatic Carotid Plaques: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Ultrasound is the most commonly used imaging modality for assessing carotid artery stenosis. A number of studies have demonstrated that surface irregularities, heterogeneous echotexture and hypoechoic plaques are risk factors for acute ischemic stroke. We performed a systematic review and meta-analysis of the literature to better define the risk of stroke based on the sonographic characteristics of carotid plaques. <b><i>Materials and Methods:</i></b> We performed a comprehensive search for studies reporting imaging findings of symptomatic and asymptomatic carotid plaques on ultrasound using MEDLINE and EMBASE. We included both case-control and cohort studies examining the relationship between complex plaque and acute ischemic stroke or transient ischemic attack. Complex plaque was defined as plaque that had any of the following characteristics: heterogeneous echogenicity, echolucency, neovascularization, surface irregularity, ulceration, and intraplaque motion. Meta-analyses using the random-effects model were performed for complex plaque and each of the individual complex plaque characteristics. p &lt; 0.05 was considered statistically significant. We explored the impact of publication bias by constructing funnel plots and testing their symmetry. We conducted the meta-analysis using Comprehensive Meta-analysis version 2.2, Englewood, N.J., USA. <b><i>Results:</i></b> A total of 1,013 articles were screened and 23 studies with 6,706 carotid plaques were included. Ultrasound plaque characteristics with a higher prevalence in individuals with symptomatic compared to asymptomatic carotid artery stenosis included plaque neovascularity (OR = 19.68, 95% CI = 3.14-123.16), complex plaque (OR = 5.12, 95% CI = 3.42-7.67), plaque ulceration (OR = 3.58, 95% CI = 1.66-7.71), plaque echolucency (OR = 3.99, 95% CI = 3.06-5.19) and intraplaque motion (OR = 1.57, 95% CI = 1.02-2.41). Variables not associated with symptom status included heterogenous echotexture (OR = 2.68, 95% CI = 0.56-12.80) and surface irregularity without ulceration (OR = 2.38, 95% CI = 0.70-8.11). No evidence of publication bias was observed based on Eggers test (p value of 0.05 for complex plaque and 0.53 for plaque echolucency). The remaining plaque features had insufficient data to assess for publication bias. <b><i>Conclusions:</i></b> Our meta-analysis and systematic review of the literature demonstrated that plaques with complex features, particularly those with echolucency, neovascularization, ulceration and intraplaque motion are associated with ischemic symptoms. Assessment of carotid plaque on ultrasound may provide stroke risk information beyond measurement of luminal stenosis. Thus, sonographic evaluation of carotid artery stenosis should focus on the detection of these plaque characteristics in addition to quantifying the degree of stenosis.
DOI: 10.6084/m9.figshare.8324336.v1
title: CHLOROPHYLL FLUORESCENCE OF BASIL PLANTS CULTIVATED IN A HYDROPONIC SYSTEM USING TREATED DOMESTIC WASTEWATER

description: ABSTRACT Different techniques have been used to evaluate the energetic characteristics and damage to the photosynthetic apparatus of plants exposed to different stresses, including the measurement of chlorophyll fluorescence. The objective of this study is to evaluate the photosynthetic response by assessing the fluorescence parameters of chlorophyll a in basil (Ocimum basilicum L.) cv. Alfavaca Basilicão cultivated in a hydroponic deep-flow technique system using treated domestic wastewater. The study used a completely randomized block design with a 2 × 2 factorial scheme, in which the factors were the water source used for preparing the nutrient solution (tap water or treated domestic wastewater) and the height (upper and lower) of the platform of the cultivation system. The photosynthetic yield of the plants grown on the lower platform was comparatively lower regardless of the water source. However, there was no significant effect of the water source on the potential and effective quantum yields of photosystem II, indicating the absence of changes in the photosynthetic apparatus and photosynthetic yield of plants produced with treated domestic wastewater, suggesting the viability of this treatment for producing basil cv. Alfavaca Basilicão in hydroponic systems.
DOI: 10.17632/2sm93h8t7y
title: DATASET FOR PERFORMANCE OF SUPERIOR DAIRY CATTLE SIRES

description: This study's object includes animal identity data, pedigree data, and milk production performance records for Holstein Friesian dairy cows born between 2017-2021. This study's parameters included milk yield, length of lactation, peak production, and dry length period. Another factor to consider is the environmental state. High air temperatures have a negative impact on dairy cow welfare and production across Europe, especially tropical regions. This causes severe cattle losses. Humidity, air velocity, and insolation all have a major impact on animal thermoregulation. Special indices are employed to measure the overall impact of various environmental conditions on animals. The temperature-humidity index (THI) is commonly used to assess how ambient temperature and relative humidity affect animals. Genetic advancement on selection indicators in dairy farming by 90-95% depends on the amount of breeding value of bull breeders. Realizing how breeding value (BV) is passed down across generations is crucial for selecting the right pairs and advancing the breed. Accurate and detailed forecasts help farmers decrease economic risks when selecting genetic material. Estimation of breeding value uses the BLUP method since this method is the most accurate estimated breeding value of sire compared to other methods The production performance of FH dairy cattle is included in the good category. For 1st lactation, which has an average milk production of 8,029.28 ± 1,112 kg; length of lactation 321.26 ± 38.48 days; peak production on day 85.36 ± 29.25 with milk production of 32.55 ± 4.16 kg; and the dry length period was 51.37 ± 9.33 days. Lactation 2 milk production 7,761.66 ± 1,145 kg; length of lactation 323.66 ± 43.06 days; peak production on day 58.43 ± 21.11 with milk production 40.79 ± 5.30 kg; and dry length period was 65.10 ± 22.69 days. Lactation 3 milk production 7,788.92 ± 1,148 kg; length of lactation 326.64 ± 46.74 days; peak production on day 61.88 ± 22.72 with milk production 43.62 ± 5.11 kg; and the dry length period was 65.00 ± 20.49 days. Lactation 4 milk production was 7,484.18 ± 1,133 kg, lactation length was 323.04 ± 42.23 days, peak production was on day 66.39 ± 24.26, milk production was 43.82 ± 5.68, and the dry length period was 65.78 ± 21.60 days. The heritability value of FH cow milk production namely 0.03 ± 0.02, is included in the low category. Differences in heritability values is due to differences in the type of data and statistical analysis used. Low heritability estimates indicated that the differences in the performance traits of Holstein cows were due to different nutritional, climatic conditions, and management practices prevalent over different times. Ranking of 10 sire’s that have the genetic potential of their offspring based on their estimated breeding value, namely O.S. Elmer-XA, M.Z. Merlin-XA, L. Muscadet-XA, C.Toyjet, S. Gypsy B, WestCoastPldge, M.Z. Merlin-ET, Brasilia, L.JetBowser-XA, and MRMUDD-XA.
DOI: 10.17632/z35rf83pzd
title: Heat Maps, MRTS Curves' Parameters, and MRTS Curves Comparison

description: The Heat maps, MRTS Curves' Parameters, and MRTS Curves Comparison presented here are discussed in the issue "Marginal Rate of Technical Substitution Curves for Frequency Regulation Services".
DOI: 10.6084/m9.figshare.24302488.v1
title: IEEE TSE Supplemental Material.zip

description: Supplemental material for our IEEE TSE submission.
DOI: 10.6084/m9.figshare.24498484.v3
title: Data and analysis scripts from the global bacterial growth potential study

description: Soil properties, climate variables, and metagenomic traits for global soil bacterial communities, including maximum growth rates estimated using codon usage bias statistics.
DOI: 10.6084/m9.figshare.27964545.v1
title: fastq_data

description: Metastasis is a hallmark of cancer and is responsible for the majority of cancer-related deaths. Evidence suggests that even a single cancer cell can spread and seed a secondary tumour [1]. However, not all circulating tumour cells have this ability, which implies that dissemination and distal growth require adaptation mechanisms during circulation [2, 3] Here we report that constriction during microcapillary transit will trigger reprogramming of melanoma cells to a tumorigenic cancer stem cell-like state. Using a microfluidic device mimicking physiological flow rates and gradual capillary narrowing, we showed that compression through narrow channels lead to cell and nuclear deformation, rapid changes in chromatin state and increased calcium handling through the mechanosensor PIEZO1. Within minutes of microcapillary transit, cells show increased regulation of transcripts associated with metabolic reprogramming and metastatic processes, which culminates in the adoption of cancer stem cell-like properties. Squeezed cells displayed elevated melanoma stem cell markers, increased propensity for trans-endothelium invasion, and characteristics of enhanced tumorigenicity in vitro and in vivo. Pharmacological disruption of channel activity inhibited the stem cell-like state, while the selective PIEZO1 activator Yoda1 primed this state irrespective of constriction. Deletion of PIEZO1 led to complete abrogation of the constriction-induced stem cell-like state. Together, this work demonstrates that compressive forces during circulation reprogram circulating cancer cells to tumorigenic stem cell-like states that are primed for extravasation and metastatic colonization
DOI: 10.6084/m9.figshare.28979084.v2
title: 1.1. Questionnaire - - Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level

description: Questionnaire as instrument research for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".
DOI: 10.6084/m9.figshare.9249308.v1
title: PVCVTRawECGData.zip

description: The 12-lead ECG data analysis is a reliable tool to ascertain the locations of premature ventricular contractions or ventricular tachycardia and determine the locations of subsequent catheter ablation procedure. The majority of idiopathic ventricular arrhythmia, outflow tract ventricular arrhythmia stem from either the right ventricular outflow tract or the left ventricular outflow tract. We created a new 12-lead ECG database that was created under the auspices of Chapman University and Ningbo First Hospital of Zhejiang University with the intention to provide high quality evidence revealing the distinction between idiopathic ventricular arrhythmia from right ventricular outflow tract to left ventricular outflow tract. The dataset contains 334 subjects who not only experienced idiopathic premature ventricular contractions or ventricular tachycardia but also had successfully undergone a catheter ablation procedure that validated the accurate origins of idiopathic ventricular arrhythmia.
DOI: 10.17632/nx9xbs4rgx
title: Artificial Mercosur License Plates

description: In 2018, a new Mercosur license plate standard was published, unifing the identification of vehicles and replacing the present license plate standards of five South America countries. In this new scenario, automatic license plate recognition (ALPR) systems built upon supervised learning algorithms could not be trained due to the lack of available data in real scenarios. So, in order to create a dataset without real samples of the new license plates standard, enabling the trainment of these models, a Mercosur license plate generator was developed to generate artificial license plates images with shadow, occlusion and other variations to mimetize real conditions, and a embeding system with license plate detection (LPD) that detects old 3-letter license plates in images of real scenarios and overwrite it with an artificially generated license plates. The dataset contains images of real scenarios where 3-letter license plates were detected using YOLOv3 (http://arxiv.org/abs/1804.02767) and overwritten by artificially generated images of the new mercosur license plates. It is organized in two folders: images - containing the images (JPEG) of the dataset; and labels - containing text files with the class identification number and the coordinates of the detected license plates in the image, following the Yolo_mark annotation specification (https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects). The images are separated in five classes, identified by a prefix in the filename: 1) monitoring_system_ - 2925 images acquired by a license plate detection model applied in a public videomonitoring system; 2) parking_lot1_ - 566 images of cars in a parking lot acquired using a smartphone camera; 3) parking_lot2_ containing 23 images of the same as parking_lot1_ but acquired using a tablet camera; 4) parking_lot3_ 11 images same as parking_lot1_ but acquired using a different smartphone model; and 5) cropped_parking_lot containing 315 images cropped in the license plate area from parking_lot_ images; Also, there is a CSV file listing all license plates detected in all images, organized in seven columns: image, label, class, x_center, y_center, width and height. The image column is the filename of the image containing the license plate, label is the filename of its recpective annotation, class is the class of the object (in this case, always zero, the index of the license plate object), and x_center, y_center, width and height, the coordinates of the rectangle of the set of pixels representing the license plate in the image, following YOLO annotation standard.
DOI: 10.6084/m9.figshare.12006318.v1
title: Transcripción del Catálogo Monumental de España: Provincia de Ávila por Manuel Gómez Moreno (1900-1901)

description: Text in computer readable format of the 2 books of the volume dedicated to the province of Avila of the Monumental Catalogue of Spain written by Manuel Gómez-Moreno (1900-1901).Using Transkribus, specific Handwriting Text Recognition models have been trained to recognize this author's spelling and are available on the online platform (Gomez-Moreno_v1). After automatic transcription, the text was manually revised.The transcriptions were carried out by Raquel Liceras-Garrido, Alba Comino and Patricia Murrieta-Flores under the project “Goodbye reading glasses: a Machine Learning experiment on handwriting documents”, funded by the Faculty of Arts and Social Sciences and the Digital Humanities Hub of Lancaster University (UK).
DOI: 10.6084/m9.figshare.12571283.v3
title: The data output from the probit regression analysis to determine the toxicity of Naja ashei venom and vincristine sulphate

description: This data set contains the following :<br>1. Summary output tables of the probit regression model to determine the 24, 48, and 72-hour toxicities of Naja ashei venom in brine shrimp (MS Excel 2013)<br>2. Summary output table of the probit regression model to determine the 24, 48, and 72-hour toxicity of vincristine sulphate in brine shrimp (MS Excel 2013)<br><br>
DOI: 10.6084/m9.figshare.13501902.v1
title: Ihssen & Wadsley, 2020, Reward & Social Networking Sites

description: Data contained in this file are reported in: Ihssen & Wadsley (2020), A Reward and Incentive-Sensitization Perspective on Compulsive Use of Social Networking Sites – Wanting but not Liking Predicts Checking Frequency and Problematic Use Behavior, Addictive Behaviors.<br>The file contains survey data from 358 participants (mean age 20.9 years) who took part in three online studies at Durham University. The studies investigated behavioural, motivational and affective processes in relation to Social Networking Sites (SNSs).<br>Studies were presented on the Online Surveys platform (https://www.onlinesurveys.ac.uk) and approved by the Ethics Sub-Committee in the Department of Psychology at Durham University. All participants gave fully informed consent.Key measures included:-SNS use measures (typical daily time spent on SNSs, frequency of checking SNSs, indicators of problematic SNS use [adapted items from the four symptom clusters of the DSM-V criteria for substance addiction]). <br>-Wanting (urges to use SNSs) and liking of SNSs (enjoyment)<br>-Cue reactivity ("CR"): Motivational responses to logo images of four widely used SNSs (Facebook, Twitter, Instagram and Snapchat)<br>
DOI: 10.6084/m9.figshare.25403407.v1
title: BERT Consolidated Topics

description: This table contains the 4,018 unique topics listed across all ChatGPT responses to prompts in our study and their corresponding cluster labels after applying K-means++ clustering (n = 50) via natural language processing with Bidirectional Encoder Representations from Transformers (BERT). ChatGPT response topics come from both versions (3.5 and 4) over 10 runs each.
DOI: 10.6084/m9.figshare.25499086.v2
title: Ottelai_alismoides_gene_prediction

description: Genome assembly of Ottelia alismoides, a multiple-carbon utilization aquatic plant
DOI: 10.6084/m9.figshare.26135692.v1
title: Sentiment scores by participant

description: Dataframe used to conduct analysis on farmer sentiment scores
DOI: 10.6084/m9.figshare.27478047.v2
title: Semi-supervised animal action segmentation: head-fixed fly

description: This dataset features a head-fixed fly engaged in spontaneous behaviors on an air-supported ball (Schaffer et al. 2023, Nature Communications). A camera captured a side view of the fly at 70 Hz. We tracked eight points across the legs and abdomen using five supervised Lightning Pose networks, followed by Ensemble Kalman Smoothing (Biderman et al. 2024, Nature Methods). We consider five behavior categories: still, walk, front groom, back groom, and abdomen move. A single annotator labeled behaviors in chunks of 50 to several hundred contiguous time points using the DeepEthogram GUI (Bohnslav et al. 2021, eLife). Flies often engage in behaviors for longer than 50 frames, so the selected chunks did not contain any transitions from one behavior to another. We use five labeled videos for training, and five for testing. The dataset contains 1.01M frames, only 16.6k of which are labeled.Many thanks to the authors of the "The spatial and temporal structure of neural activity across the fly brain" (Schaffer et al. 2023, Nature Communications) paper who collected and analyzed the original video dataset: Evan S. Schaffer, Neeli Mishra, Matthew R. Whiteway, Wenze Li, Michelle B. Vancura, Jason Freedman, Kripa B. Patel, Venkatakaushik Voleti, Liam Paninski, Elizabeth M. C. Hillman, L. F. Abbott & Richard Axel.
DOI: 10.6084/m9.figshare.28654469.v1
title: Subplot boundaries

description: Shapefile of subplot boundaries within saguaro survey plots on Tumamoc Hill
DOI: 10.6084/m9.figshare.6209966.v1
title: Supplementary Material for: A Randomized Phase II Open-Label Multi-Institution Study of the Combination of Bevacizumab and Erlotinib Compared to Sorafenib in the First-Line Treatment of Patients with Advanced Hepatocellular Carcinoma

description: <b><i>Objectives:</i></b> To investigate the clinical efficacy and tolerability of the combination of bevacizumab (B) and erlotinib (E) compared to sorafenib (S) as first-line treatment for patients with advanced hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> A total of 90 patients with advanced HCC, Child-Pugh class A–B7 cirrhosis, and no prior systemic therapy were randomly assigned (1: 1) to receive either 10 mg/kg B intravenously every 14 days and 150 mg E orally daily (<i>n</i> = 47) (B+E) or 400 mg S orally twice daily (<i>n</i> = 43). The primary endpoint was overall survival (OS). Secondary endpoints included event-free survival (EFS), objective response rate based on Response Evaluation Criteria in Solid Tumors (RECIST 1.1), time to progression, and safety and tolerability. <b><i>Results:</i></b> The median OS was 8.55 months (95% CI: 7.00–13.9) for patients treated with B+E and 8.55 months (95% CI: 5.69–12.2) for patients receiving S. The hazard ratio (HR) for OS was 0.92 (95% CI: 0.57–1.47). The median EFS was 4.37 months (95% CI: 2.99–7.36) for patients receiving B+E and 2.76 months (95% CI: 1.84–4.80) for patients receiving S. The HR for EFS was 0.67 (95% CI: 0.42–1.07; <i>p</i> = 0.09), favoring B+E over S. When OS was assessed among patients who were Child-Pugh class A, the median OS was 11.4 months (95% CI: 7.5–15.7) for patients treated with B+E (<i>n</i> = 39) and 10.26 months (95% CI: 5.9–13.0) for patients treated with S (<i>n</i> = 38) (HR = 0.88; 95% CI: 0.53–1.46). <b><i>Conclusions:</i></b> There was no difference in efficacy between the B+E and S arms, although the safety and tolerability profile tended to favor B+E over S based on competing risk analysis.
DOI: 10.6084/m9.figshare.24591300.v1
title: MolScribe dataset

description: MolScribe dataset of hand drawn images of molecular depictions with instructions ready to train MolScribe
DOI: 10.17605/osf.io/st38j
title: Fitness consequences of egg hormones in the light of evidence synthesis

description: We tested the extent to which prenatal maternal egg hormone deposition relates to fitness in free-living populations of egg-laying vertebrates. To achieve this, we used an evidence synthesis approach.
DOI: 10.17632/5d3nkyhsrf
title: Amharic Sign Language Data Sets

description: Hearing-impaired people use Sign Language to communicate with each other as well as with other communities. Usually, they are unable to communicate with normal people. Most of the people without hearing disability do not understand the Sign Language and unable to understand hearing-impaired people. So, they need recognition of Sign Language to text. A data set is collected from different teachers of sign language for recognition of Amharic Sign Language to Amharic characters. After gathering data with different backgrounds and positions of hands, the data is prepared for feeding to machine learning. The initial step for preprocessing data is frame extraction of video followed by resizing data and feature extraction. By using the LabelImg tool we annotated this frame of data to create XML, TFrecord, and CSV. Finally, we fed the data into two different models: Faster R-CNN and Single-Shot Multibox (SSD) detector. From the result of the models, we justified for Amharic Sign Language recognition to characters the SSD better in accuracy than Faster R-CNN but Faster RCNN is good with accuracy. Anyone can use the data for recognizing Amharic Sign Language to Amharic characters from the image, video, and Real-time. We used 10 class for recognizing the characters, the research will continue to include the remaining six orders, words, and sentences used in Sign Language to have a full-fledged Sign Language recognition model to a complete system.