cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7tfdby8w83.2
title: MSG-obesity and Periodontal Disease - Fetal Programming

description: Maternal alterations, such as low-intensity chronic inflammatory diseases, such as obesity and periodontal disease, are responsible for inducing fetal programming effects in the offspring. In the case of skeletal muscle striated tissue in particular, these changes are related to the reduction in the size of muscle fibers, in addition to changes in muscle regeneration capacity. In this sense, the present study sought to evaluate the effects of the association of obesity induced by MSG and maternal periodontal disease, on the structure of the anterior tibial muscle of the offspring. Twenty-four Wistar rats, offspring of control mothers (n = 6), MSG-obese (n = 6), control with periodontal disease (n = 6) and MSG-obese with periodontal disease (n = 6) were used. At 120 days of life, the animals were weighed and measured, the adipose tissues collected and weighed and the anterior tibial muscle destined for histomorphological analyses. MSG offspring showed important muscle changes, such as a reduction in the size of fibers and neuromuscular junctions, and an increase in the nucleus and capillaries. However, all these changes were more expressed in MSG-PRDT offspring, which leads us to suggest an association effect between periodontal disease and obesity, and the presence of two low-intensity inflammatory diseases, a decisive factor for greater muscle damage.
DOI: 10.17632/3wtrnt9d7v.1
title: Example of tasks analysis carried out with the networked framework RME-IDS

description: Example of tasks analysis carried out with the networked framework The sequence is about Eulerian paths in a graph, connected with the well-known Königsberg bridges problem, and the specific goal is to find out a rule to define if a given graph has or not a Eulerian path.
DOI: 10.17632/67jk7dtbw2.1
title: First-principles investigations of He-vacancy-interstitial cluster in fcc Nickel

description: The structure of vacancy cluster (void, sft and triangle plate on {111} plane, interstitial cluster In, Hen, HenV, HenV2 cluster.
DOI: 10.17632/67jk7dtbw2.2
title: First-principles investigations of He-vacancy-interstitial cluster in fcc Nickel

description: The structure of vacancy cluster (void, sft and triangle plate on {111} plane, interstitial cluster In, Hen, HenV, HenV2 cluster. The appendix contains the details and discussion of the calculations and calculations results, which should be useful for some readers.
DOI: 10.17632/8j3b3wgt84.1
title: Structural insights linking H-bridging of GDGTs to high temperature

description: Data Availability
DOI: 10.4121/4caadece-1cbe-4eee-824f-e8ebf7055c07.v1
title: Simulation software and results urban environment-aware CD&R

description: The following dataset contains two elements: the specific version of the BlueSky Open Air Traffic Simulator that was used for the experiment, including plugins developed for the urban environment-aware CD&R, and the results and processing code for the produced data.
DOI: 10.17632/scznx9p4d9.1
title: Factor Structure and Validation of the Jia et al. Hypersexual Behavior Scale in Iranian Students

description: This data is related to articles that examine the factorial structure and validity of the Jia et al. self-harm behavior scale in the Iranian student population. This scale is a measurement tool that is used to identify and measure self-harm behaviors. This data was collected through online questionnaires and includes the responses of 1250 students from Bandar Abbas universities. This data includes two main variables: the total score of the Jia et al. self-harm behavior scale and the total score of the Reid et al. screening scale for self-harm disorder. Both variables are measured numerically and with a 5-option Likert scale. This data is of high quality and easy to use. The data is accurate, complete, consistent and reproducible. The limitations and possible errors in the data include stratified random sampling, inappropriate or fraudulent response, and gender imbalance in the sample. To use the data, you need basic knowledge of statistics and data analysis software such as SPSS or Lisrel.
DOI: 10.17632/mg7tc8p6k5.1
title: ANALYZING THE PORTRAYAL OF LOVE AND ROMANCE IN RUSKIN BOND'S SELECTED AMOROUS STORIES: A COMPARATIVE STUDY BETWEEN YOUNGER AND OLDER CHARACTERS

description: Abstract: The significant impact of Ruskin Bond cannot be disregarded in the domain of current Indian English writing. The author's name is widely associated with this particular literary period, garnering significant acclaim, particularly among the younger demographic of readers. Bond's literary contributions including short tales and novellas have had a profound impact on Indian literature, as he skillfully explores fundamental human values, love, and romance. Ruskin Bond is widely recognised as a prominent character in the realm of Indian English literature after the country's independence. Several noteworthy works by the author include "The Room on the Roof" (1957), "Vagrants of the Valley" (1993), "Delhi Is Not Far" (1960), and "A Handful of Nuts" (1995). One distinguishing characteristic of his work is his adeptness at incorporating a well-balanced sense of humour and a positive perspective on life into his written compositions. In contrast to R. K. Narayan, Ruskin Bond often derives inspiration for his characters and narratives from the vibrant urban centres of actual existence. The author's tales concentrate on the experiences of young individuals and children, showcasing his enduring fondness for the natural world, including nature, trees, mountains, and the diverse array of species found in the Himalayas. This study aims to illuminate Ruskin Bond's profound affinity for issues such as friendship, childhood, and many aspects of love.
DOI: 10.17632/r4yhfnzc5y.1
title: Indian Lentils

description: A dataset of 20 different types of lentils was collected, including bean, pea, and gram categories. The different bean lentils are black beans, kidney beans, red beans, red kidney beans, soya beans, white beans, and white pea beans. Different pea lentils black-eyed peas, brown chickpeas, chickpeas, red chickpeas, and white chickpeas. Different gram lentils are horse gram, husked black gram, whole black gram, whole green gram, whole turkish gram, and chana. Each category of lentils in the dataset consisted of 500 images. The lentil dataset consisted of 10,000 images. The dataset is publicly shared on https://data.mendeley.com/datasets/r4yhfnzc5y/draft?a=56702740-f62e-4477-b5bc-4f74efeb1955. All the images in the dataset were captured using a Redmi Note 10 mobile camera. Each image was cropped to the rectangular boundary portion of the citrus fruit with a resolution of (127 × 225) pixels for all images.
DOI: 10.17632/htrsvbjfk5.1
title: MitoQ during IVM

description: Data describing the effect of MitoQ and its carrier TPP on mitochondrial functions, ROS production in oocytes and gene expression in the resulting embryos.
DOI: 10.17632/7hwtk2pxj5.1
title: Coperate Governance

description: This Dataset is about corporate governance
DOI: 10.17632/vp63dnvzgm.1
title: VALIDATION OF A COST MODEL FOR THE SUPERSTRUCTURE SERVICE IN JUVENILE PRISONS IN BRAZIL BY MEANS OF THE MONTE CARLO SIMULATION

description: VALIDATION OF A COST MODEL FOR THE SUPERSTRUCTURE SERVICE IN JUVENILE PRISONS IN BRAZIL BY MEANS OF THE MONTE CARLO SIMULATION
DOI: 10.17632/t5wmncj274.1
title: Tree-ring width and δ18O data in in western Myanmar and northeastern Thailand

description: Our dataset includes tree-ring width and δ18O data in in western Myanmar and northeastern Thailand. We use this data to do climate response analysis. We found that tree-ring δ18O in western Myanmar is more strongly influenced by the Indian summer monsoon and ENSO than in northeastern Thailand
DOI: 10.17632/3fxny27jhf.1
title: MODELO PARA DETERMINAÇÃO DO CUSTO DO SERVIÇO DE ESQUADRIAS DE SEGURANÇA PARA PRISÕES JUVENIS NO BRASIL

description: MODELO PARA DETERMINAÇÃO DO CUSTO DO SERVIÇO DE ESQUADRIAS DE SEGURANÇA PARA PRISÕES JUVENIS NO BRASIL
DOI: 10.17632/jsdfjnfj88.1
title: Controls on rapid rare earth element enrichment in sediments deposited by a continental-scale river system (Koppamurra REE deposit, South Australia)

description: Geochemistry, Nd & Sr isotopes, mineralogy and pH of two cores from the Koppamurra REE deposit (South Australia), linked to paper submitted to Geochimica and Cosmochimica Acta. Full details can be found in the accompanying paper.
DOI: 10.17632/fm3mtsn9wr.1
title: FATORES DE INFLUÊNCIA NA TROCA DE CONHECIMENTO: UM ESTUDO DE CASO EM UMA CONSTRUTORA DE MÉDIO PORTE

description: FATORES DE INFLUÊNCIA NA TROCA DE CONHECIMENTO: UM ESTUDO DE CASO EM UMA CONSTRUTORA DE MÉDIO PORTE
DOI: 10.17632/mt3c2ym8t9.1
title: Online

description: In the paper "Inclusive Trade Through Online Presence", Emmanuel Orkoh and myself examine whether online presence contributes to inclusiveness by helping firms that traditionally struggle to enter export markets do so.  Using the World Bank’s enterprise survey data covering more than 180,000 enterprises from 154 countries, we find that being online has a positive and statistically significant effect on the probability of a firm becoming an exporter, increasing this probability by an average of sixteen percentage points. There is further evidence that online presence increases the level of a firm’s exports by at least twenty percent. We find that these results apply to enterprises managed by women, firms with a majority female workforce, small and medium-sized enterprises, firms from lower income countries and developing regions of the world, as well as firms in the services sector. These conclusions suggest that supporting digitalization can be an effective way of fostering more inclusive trade.
DOI: 10.17632/mt3c2ym8t9.2
title: Online_revised

description: In the paper "Inclusive Trade Through Online Presence", Emmanuel Orkoh and myself examine whether online presence contributes to inclusiveness by helping firms that traditionally struggle to enter export markets do so. Using the World Bank’s enterprise survey data covering more than 180,000 enterprises from 154 countries, we find that being online has a positive and statistically significant effect on the probability of a firm becoming an exporter, increasing this probability by an average of sixteen percentage points. There is further evidence that online presence increases the level of a firm’s exports by at least twenty percent. We find that these results apply to enterprises managed by women, firms with a majority female workforce, small and medium-sized enterprises, firms from lower income countries and developing regions of the world, as well as firms in the services sector. These conclusions suggest that supporting digitalization can be an effective way of fostering more inclusive trade.
DOI: 10.17632/mt3c2ym8t9.3
title: Online_revised

description: In the paper "Inclusive Trade Through Online Presence", Emmanuel Orkoh and myself examine whether online presence contributes to inclusiveness by helping firms that traditionally struggle to enter export markets do so. Using the World Bank’s enterprise survey data covering more than 180,000 enterprises from 154 countries, we find that being online has a positive and statistically significant effect on the probability of a firm becoming an exporter, increasing this probability by an average of 8 percentage points. There is further evidence that online presence increases the level of a firm’s exports by 37%. We also find supporting evidence that online presence is linked with an increase in the likelihood of foreign market entry for enterprises owned and managed by women, firms with a majority female workforce, small and medium-sized enterprises, firms from lower income countries and developing regions of the world, as well as firms in the services sector. These results have accounted for possible endogeneity of online presence, self-selection into exporting, and industry and country-year heterogeneity. They suggest that measures to promote digitalization and improve the business environment can offer effective ways of fostering more inclusive trade.
DOI: 10.17632/265cd268pz.1
title: 4.5SH RNA counteracts deleterious exonization of SINE B1 in mice

description: Original blot data
DOI: 10.17632/265cd268pz.2
title: 4.5SH RNA counteracts deleterious exonization of SINE B1 in mice

description: Original blot data
DOI: 10.17632/265cd268pz.3
title: 4.5SH RNA counteracts deleterious exonization of SINE B1 in mice

description: Original blot data
DOI: 10.17632/bzysx69kjv.1
title: Data and code archive to accompany "Temperature Trends, Climate Attribution and the Nonstationarity Question"

description: Open Archive folder and keep command files in same hierarchy relative to other folders Open 00.nonstationarity.control.R in R Studio and run it It will read in necessary data and generate the results shown in the paper. Note the code to do the unit root testing is in one of the data sub-folders
DOI: 10.17632/3c3j3bkxvn.1
title: Bengali YouTube News Opinion Data for Temporal Sentiment Analysis

description: The dataset presents the news articles published in a renowned Bengali YouTube news channel along with the public comments, replies, and other corresponding information. There are 7,62,678 samples of data with 15 features. The features include video URL, title of the news, likes in the video, video views, publishing date, hashtags, video description, comments with corresponding likes, and replies with likes. To ensure the privacy of the commentators, their names have been encoded.
DOI: 10.17632/3c3j3bkxvn.2
title: Bengali YouTube News Opinion Data for Temporal Sentiment Analysis

description: The dataset presents the news articles published in a renowned Bengali YouTube news channel along with the public comments, replies, and other corresponding information. There are 7,62,678 samples of data with 15 features. The features include video URL, title of the news, likes in the video, video views, publishing date, hashtags, video description, comments with corresponding likes, and replies with likes. To ensure the privacy of the commentators, their names have been encoded.
DOI: 10.17632/3c3j3bkxvn.3
title: Bengali YouTube News Opinion Data for Temporal Sentiment Analysis

description: The dataset presents the news articles published in a renowned Bengali YouTube news channel along with the public comments, replies, and other corresponding information. There are 7,62,678 samples of data with 15 features. The features include video URL, title of the news, likes in the video, video views, publishing date, hashtags, video description, comments with corresponding likes, and replies with likes. To ensure the privacy of the commentators, their names have been encoded. The English translation of the Bengali dataset is attached in a separate file named "Translation of banglaNewsData.xlsx".
DOI: 10.17632/3c3j3bkxvn.4
title: Bengali YouTube News Opinion Data from YouTube

description: The dataset presents the news articles published in a renowned Bengali YouTube news channel along with the public comments, replies, and other corresponding information. There are 7,62,678 samples of data with 15 features. The features include video URL, title of the news, likes in the video, video views, publishing date, hashtags, video description, comments with corresponding likes, and replies with likes. To ensure the privacy of the commentators, their names have been encoded. The English translation of the Bengali dataset is attached in a separate file named "Translation of banglaNewsData.xlsx".
DOI: 10.17632/mh892rksk2.2
title: AI classifier dataset

description: The dataset comprises responses to 550 questions, with contributions from both human and AI sources. The data is organized into a single folder called "AI classifier dataset," containing 100 Excel files and one JSON list file named "dataset.jsonl." Each Excel file contains three attributes: Questions, Human answers, and AI-generated answers. The JSON file includes four attributes for each entry: an ID, the original question, the AI-generated answer, and a tag. In total, the JSON list file contains 4,478 rows of data.
DOI: 10.17632/mh892rksk2.3
title: AI classifier dataset

description: The dataset comprises responses to 116 questions, with contributions from both human and AI sources. The data is organized into a single folder called "AI classifier dataset," containing 100 Excel files and one JSON list file named "dataset.jsonl." Each Excel file contains three attributes: Questions, Human answers, and AI-generated answers. The JSON file includes four attributes for each entry: an ID, the original question, the answer, and Is_it_AI. In total, the JSON list file contains 4,478 rows of data. The source code folder contains the website design code for the question distribution and data collection website.
DOI: 10.17632/mh892rksk2.1
title: AI classifier dataset

description: The dataset comprises responses to 550 questions, with contributions from both human and AI sources. The data is organized into a single folder called "AI classifier dataset," containing 100 Excel files and one JSON list file named "dataset.jsonl." Each Excel file contains three attributes: Questions, Human answers, and AI-generated answers. The JSON file includes four attributes for each entry: an ID, the original question, the AI-generated answer, and a tag. In total, the JSON list file contains 4,478 rows of data.
DOI: 10.17632/4k8bsbzzg8.1
title: MODELAGEM COMMONKADS PARA ESTIMATIVA PARAMÉTRICA DE CUSTOS APLICAÇÃO EM OBRAS DE CONSTRUÇÃO CIVIL

description: MODELAGEM COMMONKADS PARA ESTIMATIVA PARAMÉTRICA DE CUSTOS APLICAÇÃO EM OBRAS DE CONSTRUÇÃO CIVIL
DOI: 10.17632/svb6zs7kzj.1
title: CUSTOS DE ENSAIOS EM OBRAS PÚBLICAS QUE UTILIZAM RECURSOS DO ORÇAMENTO GERAL DA UNIÃO (OGU) 1

description: CUSTOS DE ENSAIOS EM OBRAS PÚBLICAS QUE UTILIZAM RECURSOS DO ORÇAMENTO GERAL DA UNIÃO (OGU) 1
DOI: 10.6084/m9.figshare.24495964
title: Supplementary Material for: Prediction of MCI progression to AD based on DTI-derived diffusion parameters: construction and validation of a nomogram

description: Objective: To construct and validate a nomogram that combines diffusion tensor imaging (DTI) parameters and clinically relevant features for predicting the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD). Method: A retrospective analysis was conducted on the MRI and clinical data of 121 MCI patients, of whom 32 progressed to AD during a four-year follow-up period. The MCI patients were divided into training and validation sets at a ratio of 7:3. DTI features were extracted from MCI patient data in the training set, and their dimensionality was reduced to construct a radiomics signature (RS). Then, combining the RS with independent predictors of MCI disease progression, a joint model was constructed, and a nomogram was generated. Finally, the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to evaluate the diagnostic and clinical efficacy of the nomogram based on the data from the validation set. Result: The AUCs of the RS in the training and validation sets were 0.81 and 0.84, with sensitivities of 0.87 and 0.78 and specificities of 0.71 and 0.81, respectively. Multiple logistic regression analysis showed that the RS, clinical dementia rating scale score, and Alzheimer's disease assessment scale score were the independent predictors of progression and thus used to construct the nomogram. The AUCs of the nomogram in the training and validation sets were 0.89 and 0.91, respectively, with sensitivities of 0.78 and 0.89 and specificities of 0.90 and 0.88, respectively. DCA showed that the nomogram was the most valuable model for predicting the progression of MCI to AD and that it provided greater net benefits than other analysed models. Conclusion: Changes in white matter fibre bundles can serve as predictive imaging markers for MCI disease progression, and the combination of white matter DTI features and relevant clinical features can be used to construct a nomogram with important predictive value for MCI disease progression.
DOI: 10.6084/m9.figshare.24495964.v1
title: Supplementary Material for: Prediction of MCI progression to AD based on DTI-derived diffusion parameters: construction and validation of a nomogram

description: Objective: To construct and validate a nomogram that combines diffusion tensor imaging (DTI) parameters and clinically relevant features for predicting the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD). Method: A retrospective analysis was conducted on the MRI and clinical data of 121 MCI patients, of whom 32 progressed to AD during a four-year follow-up period. The MCI patients were divided into training and validation sets at a ratio of 7:3. DTI features were extracted from MCI patient data in the training set, and their dimensionality was reduced to construct a radiomics signature (RS). Then, combining the RS with independent predictors of MCI disease progression, a joint model was constructed, and a nomogram was generated. Finally, the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to evaluate the diagnostic and clinical efficacy of the nomogram based on the data from the validation set. Result: The AUCs of the RS in the training and validation sets were 0.81 and 0.84, with sensitivities of 0.87 and 0.78 and specificities of 0.71 and 0.81, respectively. Multiple logistic regression analysis showed that the RS, clinical dementia rating scale score, and Alzheimer's disease assessment scale score were the independent predictors of progression and thus used to construct the nomogram. The AUCs of the nomogram in the training and validation sets were 0.89 and 0.91, respectively, with sensitivities of 0.78 and 0.89 and specificities of 0.90 and 0.88, respectively. DCA showed that the nomogram was the most valuable model for predicting the progression of MCI to AD and that it provided greater net benefits than other analysed models. Conclusion: Changes in white matter fibre bundles can serve as predictive imaging markers for MCI disease progression, and the combination of white matter DTI features and relevant clinical features can be used to construct a nomogram with important predictive value for MCI disease progression.
DOI: 10.6084/m9.figshare.24241597
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology