cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5vbszy492m
title: Detecting Tipping Points of Complex Diseases by Network Information Entropy

description: source code and row data for paper "Detecting Tipping Points of Complex Diseases by Network Information Entropy".

The progression of complex diseases often involves abrupt and non-linear changes, characterized by sudden shifts that trigger critical transformations. Identifying these critical states or tipping points is crucial for understanding disease progression and developing effective interventions. To address this challenge, we present a model-free method named Network Information Entropy of Edges (NIEE). Leveraging dynamic network biomarkers (DNB), sample-specific network (SSN), and information entropy theories, NIEE detects critical states or tipping points in diverse data types, including bulk, single sample expression data. Demonstrating its effectiveness, we applied NIEE to several real disease datasets, successfully detecting critical points before disease onset. Our findings underscore NIEE's potential to enhance comprehension of complex disease development.
DOI: 10.17632/624wy2vvsk
title: Quality of Life and It’s Association with Physiotherapy in Patients after Total Knee Replacement - A Correlational Study

description: Background: Degenerative joint disease, or osteoarthritis, is generally the main cause of physical deficiencies among elderly people. The pain and functional limitation caused by this condition, especially in the lower limbs, present a strong correlation with reduced quality of life among these individuals. There are many factors that affect the individual quality of life after TKR like patients psychology behind surgical procedure, poor awareness about physiotherapy rehabilitation procedure. So the purpose of study was to evaluate the quality of life in patients after TKR.

Aim: To evaluate quality of life and its correlation with physiotherapy in patients after total knee replacement.

Methods: In this correlation study, 72 total knee replacement patients were taken. Collection of demographic data & Communication was done through visiting patient’s home and through telecommunication media. Patients were evaluated for quality of life using WOMAC and EQ-5D. To find out association of quality of life with physiotherapy in total knee replacement patients, 72 patients were divided in 2 groups, who received physiotherapy and who didn’t. After that results were carried out.

Results: Chi-square test for association between physiotherapy taken and quality of life (WOMAC) carried out, P < 0.05. Chi-square test for association between physiotherapy taken and quality of life (EQ-5D) were considered significant. (P value is <0.05)

Conclusion: The patient who received physiotherapy treatment after TKA seems to show a significant improvement in quality of life. Since pain and function are the most important predictor of improved quality of life and also better dynamic balance as compared to patient who didn’t received physiotherapy protocol.
DOI: 10.17632/8z96ds3jsp
title: UMATUG: inertial signals of older and young adults using a gerontologic simulator collected during TUG tests

description: UMATUG dataset contains the inertial data collected from a cohort of 69 experimental subjects during the execution of TUG (Timed-Up-and-Go) mobility tests.
DOI: 10.6084/m9.figshare.20729098.v1
title: Supplementary Material for: Optimizing Upper-Tract Imaging for Non-Visible Haematuria

description: <b><i>Introduction:</i></b> Non-visible haematuria (NVH) is associated with a small risk of upper-tract urothelial carcinoma (UTUC), though there is little consensus on its investigation, particularly with regard to upper-tract imaging. This study aimed to determine whether the presentation of UTUC can guide investigation of NVH in patients under 60 years old. <b><i>Methods:</i></b> All patients investigated at our one-stop haematuria clinics under a cancer pathway were reviewed during a 5-year period, with all patients undergoing cystoscopy and upper-tract imaging. Retrospective analysis of all UTUC cases from our urological cancer multidisciplinary team meeting database over a 10-year period was also undertaken. <b><i>Results:</i></b> 2,129 patients with a median age of 67 years underwent urgent investigation for haematuria between March 2015 and February 2020. 449 cases presented with NVH, of whom 124 (27.6%) were under 60. Out of 21 cases of UTUC, only 2 presented with NVH; both were over the age of 60 years. Factors that independently predicted diagnosis with urinary-tract malignancy were age ≥60 (OR 3.70, <i>p</i> &lt; 0.001), visible haematuria (OR 2.50, <i>p</i> = 0.006), and suspicious cystoscopic findings (OR 58.06, <i>p</i> &lt; 0.001). Review of all 119 UTUC cases over 10 years found 6 cases (5.0%) presenting with NVH, with one (0.8%) also presenting under 60 years. <b><i>Conclusion:</i></b> Diagnosis with UTUC is rare in patients presenting with NVH under the age of 60 years. Routine use of CTU in this low-risk group is best avoided, with ultrasonography constituting a safer first-line upper-tract imaging modality. Guidelines that risk-stratify NVH patients may be effective in reducing unnecessary investigations.
DOI: 10.21233/c6bz-dk52
title: Hulun Lake ostracode surface sample dataset

description: Raw data for the Hulun Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/ms2f63ng3y
title: BatteryPredict_Code

description: The BatteryPredict_Code is developed by Yixin Yang to predict the lithium-ion battery life based on machine learning for different applications (battery life early prediction and RUL prediction). This document will briefly introduce how to use this code. Specific algorithm principles, please refer to the paper [1]. [1] A machine-learning prediction method of lithium-ion battery life based on charge process for different applications
DOI: 10.17632/cps9nsmjbg
title: AMIGO2

description: AMIGO2 is a novel transmembrane protein involved in neuronal growth and development, playing a significant role in various cancers. This study systematically analyzed the expression of AMIGO2 in pan-cancer and its correlations with clinical prognosis, immune checkpoints, tumor purity scores, and immune infiltration by integrating databases such as TCGA, GTEx, and cBioPortal. The results showed that AMIGO2 is upregulated in most tumor tissues, and its high expression is associated with poor prognosis in certain cancers. AMIGO2 was significantly correlated with immune regulatory genes, immune checkpoints, and tumor purity scores, suggesting its potential role in the tumor immune microenvironment. Additionally, low AMIGO2 expression was linked to better responses to specific immunotherapies, such as Ipilimumab, Nivolumab, and anti-CTLA4 treatments. This study highlights the potential of AMIGO2 as a prognostic biomarker and immunotherapy target, providing new insights for precision cancer treatment.
DOI: 10.17632/kjhxgdd37b
title: Data for: Drivers of farmers’ willingness to adopt extensive farming practices in a globally important bird area

description: Dataset, estimation codes, questionnaire, translated wording of the descriptions of agri-environmental schemes
DOI: 10.6084/m9.figshare.10012676.v2
title: Supplementary Material for: Alterations in Bone Homeostasis and Microstructure Related to Depression and Allostatic Load

description: Medicine
DOI: 10.17632/d2sggc4txm
title: Phase Measuring Deflectometry based technique for Detecting Defects in Materials via Heat Flow Visualization

description: This data contains a Word document that includes a flow chart for the algorithm used for phase extraction using Fourier Transform and a discussion of simulation results that demonstrate how thermal signatures vary due to different material inhomogeneity. It also contains three video files V1, V2, and V3 capturing the spatiotemporal evaluation of thermal signatures for three different thermal anomalies.
DOI: 10.17632/7r2j5snfp5
title: MATAD: a program package for the computation of MAssive TADpoles

description: Abstract In the recent years there has been an enormous development in the evaluation of higher order quantum corrections. An essential ingredient in the practical calculations is provided by vacuum diagrams, i.e. integrals without external momenta. In this paper a program package is described which can deal with one-, two-, and three-loop vacuum integrals with one non-zero mass parameter. The principle structure is introduced and the main parts of the package are described in detail. Explicit example... Title of program: MATAD Catalogue Id: ADNG_v1_0 Nature of problem Multi-loop integrals are needed for the evaluation of quantum corrections. An important class of loop diagrams is covered by so-called vacuum integrals which have no external momentum. MATAD can analytically compute those one-, two- and three-loop vacuum integrals where one mass scale is present. Versions of this program held in the CPC repository in Mendeley Data ADNG_v1_0; MATAD; 10.1016/S0010-4655(00)00204-6 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/k8v7ns2xv3
title: Individual-specific estimates from Mixed Logit. R script and Dataset for Monte Carlo experiment

description: R script and dataset generated from Monte Carlo experiment
DOI: 10.6084/m9.figshare.28003493.v2
title: Dataset1: Polarimetric imaging of peripheral nerves: intensity data under RXPI system

description: Polarimetric imaging of peripheral nerves
DOI: 10.17632/yjf2m84rk4
title: Social Media Freedom During Karnataka State Election 2023: Perceptions of Young Voters

description: Data of the survey conducted for the research titled, "Social Media Freedom During Karnataka State Election 2023 Perceptions of Young Voters".
Corresponding author: Vinay B S
DOI: 10.17632/yrdc5d6j93
title: Experimental Data Set for VRSP-OAPRL

description: This data consists of experimental instances used in the numerical experiments and the sensitivity of a vehicle routing and scheduling problem with order acceptance for pharmaceutical refrigerated logistics (VRSP-OAPRL) 

For each instance of small-sized experiments, large-sized experiments, and Sensitivity analysis, we provide three 'CSV file", and |I|, |V|, and CA are experimental parameters the number of orders, vehicles, and capacity of vehicles, respectively.
Experimental data depending upon |I|, |V|, and CA are as follows:
1. CUS_COORDINATE_Order_Num_|I|_Vehicle_Num_|V|_Capa_CA.csv
2. DATA_Order_Num_|I|_Vehicle_Num_|V|_Capa_CA.csv
3.TIME_Order_Num_|I|_Vehicle_Num_|V|_Capa_CA.csv

In "CUS_COORDINATE_Order_Num_|I|_Vehicle_Num_|V|_Capa_CA.csv", we provide the coordinate of customer j and a number of orders of customer j
Row 1 means Depot and Customer j. Row 2 means X-coordinate of Depot and Customer j. Row 3 means the Y-coordinate of Depot and Customer j. Row 4 means a number of orders of customer j. 
ex)
Row1 0 (depot) 1 2 ... 19 20
Row2 0 9 -9 ... -2 -18
Row3 0 15 -9 ... -16 13
Row4 0 5 5 ... 5 6
For example, Customer 1 located at (9, 15) and ordered 5 pharmaceutical items.

In "DATA_Order_Num_|I|_Vehicle_Num_|V|_Capa_CA.csv", we provide the Storage temperature window of order i, the Revenue of order i, Due date of order i, the Shelf life of order i, and Weight of order i.
Column 0 means order i. Column 1 means the lower bound of storage temperature window of order i. Column 2 means the upper bound of the storage temperature window of order i. Column 3 means revenue of order i. Column 4 means due date of order i. Column 5 means the shelf life of order i. Column 6 means weight of order i.
ex)
Col0 Col1 Col2 Col3 Col4 Col5 Col6
1 -59 -13 121 18 136 9
2 -48 -25 57 18 32 9
… … … … … … …
99 -72 -9 137 237 289 7
100 -51 -7 176 237 341 14

In "TIME_Order_Num_|I|_Vehicle_Num_|V|_Capa_CA.csv", we provide Delivery time from nodes i to j.
DOI: 10.6084/m9.figshare.3837978.v1
title: PONE-D-16-22964 Dataset

description: This is the dataset for the paper "Elevation pattern in growth coherency on the southeastern Tibetan Plateau ", numbered by PONE-D-16-22964 in the Plos One.
DOI: 10.17632/5fs529b5bd
title: Financial risk management based on corporate social responsibility for sustainable development

description: The dataset contains the following statistics for a sample (based on the criterion of data availability) from 105 countries of the world:
- Total investment for 2000-2021, calculated by the International Monetary Fund;
- World giving index for 2021, calculated by the Charities Aid Foundation;
- Sustainable development index for 2021, calculated by UN.
DOI: 10.17632/dhyjznchzt
title: Engage and Learn: Dataset of Comparison Survey between VR and Slideshow Groups

description: The dataset contains responses from a user study aimed at comparing the effectiveness of a VR learning experience against traditional slideshow methods for teaching mammalian cell structures. The participants were divided into two groups: one experiencing the VR-based learning module and the other using a slideshow presentation.
DOI: 10.17632/vpf4ddvt2v
title: A local rezoning and remapping method for unstructured mesh

description: Abstract This paper presents explicit description of the rezoning and remapping method for unstructured mesh. The rezoning and remapping constitute two of the three phases of Arbitrary Lagrangian–Eulerian (ALE) methods, while the other one is Lagrangian phase. Our method is local (vs. global) in order that the majority of mesh remains unchanged, and that the error caused by remapping can be confined within the changed areas. This is achieved by specifying the local worse areas of mesh based on the mes... Title of program: Maxis Catalogue Id: AEIP_v1_0 Nature of problem Although the great deformation of mesh elements moved with the fluid, which causes the severe shortening of computing time step and the increasing of computing error, makes it indispensable that the rezoning of distorted mesh and the remapping of physical variables such as density or velocity are performed, it still bothers people that the rezoning and remapping also bring in the loss of Lagrangian motion information of old mesh. Therefore the essential problem is how to minimize the error cause ... Versions of this program held in the CPC repository in Mendeley Data AEIP_v1_0; Maxis; 10.1016/j.cpc.2010.11.034 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/23m25kn8jh
title: LINF_150008800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.14305282.v1
title: Leaf area estimation of Burley tobacco

description: ABSTRACT: Leaf area is an important growth variable in agricultural crops and the leaf is the main variable of interest in the tobacco industry. So, the aim of this scientific research was to estimate the Burley tobacco leaf area by linear dimensions of the leaves and to determine which mathematical model is more adequate for this purpose. Two experiments were carried out with Burley tobacco, cultivar DBH 2252, in 2016/2017 and 2018/2019 agricultural years, respectively, in the municipalities of Itaqui and Vanini - RS - Brazil. In 600 leaves were measured length (L), width (W), length×width product (LW), length/width ratio (L/W) and determined the real leaf area (LA). Four hundred and fifty leaves were separated to generate models of the leaf area as a function of linear dimension and the other 150 leaves were used for model’s validation. The power model LA = 0.5037LW1.04435 (R² = 0.9960) is the most adequate for Burley tobacco ‘DBH 2252’ leaf area estimation. Alternatively, the models LA=2.0369W1.8619 (R²=0.9796) and LA=0.1222L2.2771 (R²=0.9738) based on width and length, respectively, can be used when only one leaf dimension is measured.
DOI: 10.17632/4pbsytmkpd
title: SupplementaryData_Valderhaug et al_AJPCell2021_Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks

description: Supplementary Data for article: Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks
DOI: 10.17632/6zvyvs68vy
title: Reduction in surface climate change achieved by the 1987 Montreal Protocol

description: Data files required to produce the figures presented in "Goyal, Rishav; England, Matthew; Sen Gupta, Alex; Jucker, Martin (2019) Reduction in surface climate change achieved by the 1987 Montreal Protocol", Environmental Research Letters. doi: https://doi.org/10.1088/1748-9326/ab4874
DOI: 10.17632/gd8dxwg6b3
title: Coronavirus Outbreak COVID-19 Dataset [Last Updated: March 27, 2020]

description: Data for COVID-19 Coronavirus Pandemic from Worldometer (March 27, 2020)
DOI: 10.17632/nw3ynktmvv
title: Data for: Daytime passive radiative cooler using porous alumina
DOI: 10.17632/43fjx5m99p
title: Survey Data from an Experimental Study in Supporting Parental Engagement among Chinese Low-income Families in their Children’s English Learning Through Home-literacy Activities

description: The raw dataset was generated from the online survey assessing low-SES parents’ perceived engagement in their children’s English learning before and after the intervention. The survey was administered among 172 parents in both treatment and control conditions, 86 in each condition. The dataset began with a random id (column A) and condition (treatment/control, column B), followed by four major groups of variables: (a) demographic information (columns C-G) including parents’ age, years of English learning, highest educational degree, English certificate, and status of children’s after school English tutoring; (b) 10-item parental engagement pre-score (columns H-Q), (c) 10-item parental engagement post-score (columns R-aa), and (d) open-ended question on perceived impact of the intervention on children’s English learning (column AB-AG). This is for treatment only with 86 responses. Parents’ responses to the open-ended question were in Mandarin Chinese.
DOI: 10.17632/gt5zn3mdtt
title: CHC identification (LC-MS/MS) Rimpei Morita

description: These results are relate to Figure S1A.
DOI: 10.17632/bc5n7w8zvp
title: Multi-objective mixed integer linear optimisation GAMS code

description: Mathematical programming coding in GAMS for article entitled "Effect of mitigation technologies on the total cost and carbon dioxide emissions of a cement plant under multi-objective mixed linear programming optimisation".
DOI: 10.17632/zrpz6267n6
title: Dataset on ultrasound findings of lung ultrasonography in COVID-19: a systematic review

description: This is a systematic review according to the PRISMA guidelines. We queried PubMed, Embase, Web of Science, Cochrane Database of Systematic Reviews and Scopus using the terms ((coronavirus) OR (covid-19) OR (sars AND cov AND 2) OR (2019-nCoV)) AND (("lung ultrasound") OR (LUS)), from 31st of December 2019 to 31st of January 2021. Confirmed cases of SARS-CoV-2 infection, 18 years old or older patients and original studies with at least 10 participants were included. We found 1333 articles, from which 67 articles were included, with a pooled population of 4700 patients. The most examined findings were at least 3 B-lines, confluent B-lines, subpleural consolidation, pleural effusion and bilateral or unilateral distribution. B-lines, its confluent presentation and pleural abnormalities are the most frequent findings. LUS score was higher in intensive care unit (ICU) patients and emergency department (ED), and it is associated with a higher risk of developing unfavorable outcomes (death, ICU admission or need for mechanical ventilation). LUS findings and/or the LUS score has a good negative predictive value in the diagnosis of COVID-19 compared to RT-PCR. This dataset is being submitted via European Journal of Radiology as a co-submission.
DOI: 10.17632/9d35jf2zjz
title: Data files associated with "Lung Mediated Auditory Contrast Enhancement Improves the Signal-to-Noise Ratio for Communication in Frogs"
DOI: 10.17632/rbvc6c64w8
title: The Development of Music Education Philosophy Discourse in Mainland China during 1990–2021: A Corpus-Based Critical Review (AppendIx)

description: The Development of Music Education Philosophy Discourse in Mainland China during 1990–2021: A Corpus-Based Critical Review (AppendIx)
DOI: 10.6084/m9.figshare.8870288.v1
title: Picea glauca masting data across North America

description: The database includes 771 yearly observations of seed production of Picea glauca from year 1950 to 2017, spanning four regions of North America (Alaska, USA; and Yukon, Alberta, and Quebec in Canada).
DOI: 10.17632/nbzpn4fkmc
title: Data for: The Reinvestment Risk Premium in the Valuation of British and Russian Government Coupon Bonds

description: Data and computation for the research
DOI: 10.6084/m9.figshare.24538936.v1
title: <b>Table 2.</b> Situation analysis of AMU and AMR

description: Situation analysis of AMU and AMR
DOI: 10.17632/zv3dyvm8jy
title: data of CSDCG method

description: Data of the conjugate gradient method in the article titled "Hypergraph-based convex semi-supervised unconstrained symmetric matrix factorization for image clustering".

CSDCG(1).csv, CSDCG(gg).csv, CSDCG(-sg).csv, and CSDCG(sy).csv respectively correspond to the cases of $\Im$=1, $\Im$=gg, $\Im$=-sg, and $\Im$=sy of the second method proposed in this paper.

ACGSSV.csv, ADHCG.csv, ADHCG.csv, and NACGM.csv are other CG methods for comparison, GD.csv is the Gradient descent.


All the data are generated by the algorithm proposed in the paper under CUTEst library.



--Problem Indicates the name of the problem in the CUTEst library

--Dims represent the dimension of the problem

--Method Indicates the method used to solve the problem

--x is the optimal solution

--Func is the value of the function at x

--Grad represents the infinite norm of the gradient of the function at x

--Nfunc represents the number of function evaluations

--Ngrad represents the number of gradient evaluation

--Iter represents the number of iterations

--Seconds indicate the running time

--StateCode indicates whether the status is abnormal, where 0 indicates success.
DOI: 10.17632/fzwfwfbfj9
title: Inclusive Leadership

description: Collected from sport organizations in South Korea
DOI: 10.17632/n89jt2k5pn
title: Data on composition of corbicular pollen loads from 'Diversity matters: Diet of Apis cerana in Southeast India includes one consistently occurring and several seasonally available floral sources'

description: An Excel file containing the 87 pollen taxa identified and counted in 388 corbicular pollen samples, collected weekly, over three years (March 2018 to December 2021) at Merveille, an eco-restoration site in Puducherry region, Southeast India. Pollen samples collected in the field were carefully packed in sterile vials and were acetolysed (Erdtman 1966) in the lab and pollen slides mounted in glycerine and covered with a glass slip to carry out Light microscopic analyses ( under x400 magnification). The Thanikaimoni Pollen slides Collection hosted at the French Institute of Pondicherry was used to generate this data the highest taxonomical level possible. The aim was to identify and count at least 1000 pollen grains in every sample and on an average ~1600 pollen/sample have been counted. Precise species attributions are made based on the site vegetation surveys and the plant-centric visual observations of bee visits. As is the norm, the pollen taxa list is of mixed taxonomical hierarchy with most taxa at generic level and some at Family or more than one Family level.