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Evaluating the Development Skills in Early Childhood Education among Kindergarten Learners

This study investigates the relationship between various  demographic and early childhood development skills among learners.  Through a detailed analysis of age & gender distribution, parental education,  family income, sibling number, and early childhood proficiency levels across  different skill sets, the study aims to uncover patterns and potential disparities.  Notably, it explores the gender disparity among learners and in parental  education levels, with a significant emphasis on the impact of socioeconomic  status on educational access and opportunities. Despite initial assumptions,  statistical analysis reveals that demographic and socioeconomic factors do not  significantly influence early childhood development skills, suggesting the  critical role of quality education and inclusive environments. This research  underscores the importance of equal access to quality educational resources  and opportunities for all children, emphasizing that early childhood  development transcends demographic and socioeconomic boundaries. The  findings advocate for educational policies and interventions that focus on  holistic child development, aiming to provide every child with a strong  foundation for future learning and success

A Cross-Continental Analysis of How Regional Cues Shape Developers' Stack Overflow Contributions

Stack Overflow provides a wide range of knowledge for the software development community. Despite the importance of these platforms, several studies have shown that digital information tends to cluster geographically, which limits knowledge access that is otherwise necessary for innovation. The proposed study highlights the dynamics of users from different geographical backgrounds within Stack Overflow, which entails intra-country interactions, predominant topics of discouse, as well as their communication patterns. Finally, the study highlights that regional behavioural variations stem beyond cultural factors, encompassing technological advancement, entrepreneurial ventures, and workforce composition.  This replication package is provided for those interested in further examining our research methodology.

opencc-by-4.0Dec 2021View details →

Fig. 1 in Preliminary Study Of Moss Homalia Trichomanoides (Hedw.) Brid. Gametophyte Development From Spores In Vitro

Fig. 1. Homalia trichomanoides spores before inoculation.

Lateral Root Development in Two Tomato Accessions under Salt Stress

The images of growing tomato seedlings were collected using SPIRO setup by Maryam Rahmati-Ishka every 30 minutes. However, as our automated script did not work for quantifying the lateral roots, Magda Julkowska traced the roots manually - for images collected every 60 minutes.  The data was collected over 4 experiments, for two tomato genotypes: M248 - S. pimpinellifolium - wild tomato - salt tolerant - maintains the LR emergence under salt stress; and LA1511 - S. lycopersicum - cultivated tomato - salt tolerant - maintains the LR elongation under salt stress.

opencc-zeroApr 2024View details →

dryad36/100

Data from: Building functional and sustainable pharmacovigilance systems - an analysis of pharmacovigilance development across high-, middle- and low-income countries

Background Pharmacovigilance (PV) is an essential component of health systems. Functional PV systems protect and promote public health by supporting the safe and effective use of medicinal products through the prevention and mitigation of harm. With increased simultaneous introduction of innovative products in high-, middle- and low-income countries, e.g., COVID-19 vaccines, or solely in low- and middle-income countries (LMIC), e.g., malaria vaccines, PV systems in LMIC must be able to detect safety signals and ensure adequate safety surveillance. This research aims to analyse the development of PV systems across high-, middle- and low-income countries and to carve out essential elements for implementing functional and sustainable PV systems in LMIC. Methods A convergent parallel mixed-methods design, consisting of qualitative and quantitative methods was used. Qualitative research consisted of semi-structured interviews. To expand the breadth and range of the study, a quantitative survey was conducted, focusing on the same thematic questions as the semi-structured interviews. Results Twelve key informants from nine countries were interviewed and 52 respondents from 36 countries completed an online questionnaire. Four major themes consisting of 12 categories emerged from the data. Based on these, the following elements essential for building functional and sustainable pharmacovigilance systems in LMIC were identified: understanding the drivers of PV development; adequately resolving core system challenges; implementing an efficient organisational structure and procedures for PV; investing in activities beyond reporting of adverse drug reactions; identifying alternate sources of financing; having a national strategy with a vision and mission for PV; adequately leveraging the health system; and effectively integrating the pharmaceutical sector in the national PV system. Conclusions Findings from this research revealed progress in PV systems in LMIC in the last decade, though significant efforts are still needed to develop these systems to meet global standards. Developing the different areas emerging from this research, which necessitates implementing functional PV structures and processes, adequately leveraging the health system and effectively engaging the pharmaceutical sector, through the mechanisms proposed, would enable a comprehensive progression from basic to stable, functional and thus sustainable PV systems in LMIC.

Replication Package: Pandemic Startup Software Engineering: An Experience Report on the Development of a COVID-19 Certificate Verification System

Welcome to the public repository for the additional content of the paper "Pandemic Startup Software Engineering: An Experience Report on the Development of a COVID-19 Certificate Verification System" (Journal of Systems and Software) This repository provides additional information to the experience report, including the following files: <ul> <li>survey_questions_de.txt: sheet containing the online questionnaire in German (original language)</li> <li>survey_questions_en.txt: sheet containing the online questionnaire translated into English</li> <li>survey_answers_original.csv: sheet containing the extracted questionnaire data of the participants in German (original language)</li> <li>survey_analysis.csv: sheet containing the analysis of the extracted questionnaire data in English</li> </ul>

Dataset: Computational resources in the development of e-health IoT applications: A systematic mapping study

Files related to systematic mapping titled Computational resources in the development of e-health IoT applications: A systematic mapping study

Dataset: Digital Transformation in Developing Countries (A Case Study)

This data represents the availability of data to support the publication of researchers' papers on digital transformation in developing countries (case study: Indonesia).

Data required for "Redefining awn development in rice through the breeding history of Japanese awn reduction"

The study challenges the conventional understanding of awn loss as a  domestication syndrome, showing instead that many awned varieties continued to be widely grown in Japan until the early twentieth century and that selection for awn reduction was active at that time, demonstrating that awn loss is not a domestication syndrome but “a trait that emerged during crop improvement”. Although selection for awnless mutants was carried out independently using different types of awned cultivars in the early twentieth century in Japan, awn loss was caused by the mutation in OsEPFL1. This suggests that a single mutant haplotype of OsEPFL1 was conserved in the genomes of different cultivars and subsequently selected within each line to meet the demand for awnless varieties. The study also conducts phylogenetic analyses of EPFL1 in 48 grass plants, revealing its unique involvement in awn formation in rice while potentially playing a different role in the domestication of other grass plants. Finally, an attempt is made to isolate an awn-forming gene that has not been identified from the awned rice cultivar “Omachi”, which is still cultivated in Japan. The results presented in this paper provide a new perspective on domestication against the conventional understanding of awn development, shedding light on its potential as a useful organ for breeding to mitigate environmental stress.

opencc-by-4.0Sep 2018View details →

Figure 8 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast

Figure 8. Sex frequency distribution, based on B. boops size.

opencc-by-4.0Sep 2018View details →

Figure 2 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast

Figure 2. Monthly change of the sexual maturity stages (%) in B. boops females.

opencc-by-4.0Sep 2018View details →

Figure 1 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast

Figure 1. Location of the study.

Development and Implementation of a Tool for Data Capture @ Point of Sampling

Poster presented at EFSA Symposium “Data Readiness for Artificial Intelligence”, held on 23-24 October 2024.  It describes the project “Development and Implementation of a Tool for Data Capture @ Point of Sampling” coordinated by the Portuguese Economic and Food Safety Authority (ASAE) with technical support from LIACC (Artificial Intelligence and Computer Science Laboratory, University of Porto), and involving two Danish organisations (Danish Veterinary and Food Administration and Technical University of Denmark) as end users of an application designed to enhance the harmonization and robustness of data collection processes.  The project is focused on two key areas: the further development of the mobile tool for data capture at the point of sampling in EFSA's SSD2 format, including SSD2 catalogue integration and translation into national languages, and the installation of this tool within partner entities across participating countries. The new system will incorporate validation features through the integration of the SSD2 data format and the FoodEx2 classification at the point of data creation.

Index of Sustainable Development and its components

The proposed Sustainable Development Gauging Metrics methodology assesses sustainable development by considering two main components: Quality of Life and Security of Life. The Quality of Life component (Cql) evaluates the harmonization of society's development across economic, environmental, and social dimensions. It comprises: <ul> <li>Economic dimension (Iec): combining global competitiveness and economic freedom indices, addressing SDGs 8, 9, 10, and 12;</li> <li>Environmental dimension (Ie): utilizing the Environmental Performance Index, focusing on SDGs 6, 13, 14, and 15;</li> <li>Social dimension (Is): covering poverty, health, education, justice, etc., with 26 indicators, reflecting societal-level SDGs.</li> </ul> The indicator of harmonization assesses the balance between economic, environmental, and social dimensions. The Security of Life component (Csl), evaluates the impact of 11 global threats on countries. These threats include decrease in energy security, imbalance between biological capacity of the Earth and human needs in biosphere, growing inequality between people and countries on the Earth, spread of global diseases, information gap, corruption, limited access to drinking water, impact of climate change and natural disaster, state fragility, proliferation and global terrorism, conflict intensity increasing. The purpose of this dataset is to present the results of the assessing and analyzing the Sustainable Development Index of the 134 world countries based on 2005-2022 data.

opencc-by-4.0Dec 2023View details →

Data supporting research on the development of Paleontology in Brazil

The documents made available present the data set that was processed in Lucas George Wendt's dissertation, presented in 2024 in the Postgraduate Program in Information Science (PPGCIN) of the Federal University of Rio Grande do Sul (UFRGS). The study is entitled: Brazilian Paleontology: a scientometric analysis based on the Lattes Curriculum. The abstract is as follows. This research sought to carry out a scientometric analysis of Paleontology in Brazil based on data collected in the Lattes Curriculum. The general objective of this dissertation is to analyze the scientific field of Paleontology diachronically and through a scientometric study - which will be explained based on the personal information of the researchers collected in their profiles and the scientific literature produced and registered in the Lattes Curriculum of the Lattes Platform. The literature review presented the concepts of Information Science, the area that, in this study, seeks to understand Paleontology through its research instruments; Scientific Communication, the main subject analyzed in this study; Metric Information Studies, the theoretical-methodological framework used in this research; Scientometrics, the theoretical scope used to understand in greater depth the constitution of the field of national Paleontology. Finally, references were also presented that help in the understanding of Paleontology in its national, South American, North American and European contexts. The research used a mixed approach of qualitative and quantitative elements. The data were generated from the CVs of researchers registered on the Lattes Platform, collected using the Brapci Bibliometric Tools tool and analyzed in specific software for metric analysis. To achieve the research objectives, data from 1,465 researcher profiles were analyzed. Regarding the full articles published in journals, 43,333 articles were considered valid. Regarding the keywords of the articles, 91,922 keywords were analyzed for word clouds and 84,771 for relationship networks. Of the academic orientations, 1,182 profiles generated 51,400 valid orientations. The aspect of the current employment relationship had 1,256 profiles considered. Regarding academic backgrounds, 1,465 profiles generated 4,556 academic backgrounds analyzed. The main contribution of this study is the realization of an unprecedented mapping of the panorama of Paleontology in Brazil, since there are no other studies that establish the same relationships that this research sought to establish. Regarding the results, based on the data collected and analyzed, the general metric indicators linked to the scientific production associated with Brazilian Paleontology were presented based on the information collected in the Lattes Curriculum; the directions of research in Paleontology that currently constitute this field in Brazil were mapped, as well as their thematic associations with other fields of knowledge; the training of PhD researchers who work with Paleontology or who have their production associated with Paleontology in terms of their academic training was characterized; and where the scientific knowledge in Paleontology or associated with Paleontology is produced was identified. The results of this study are relevant to understanding Brazilian Paleontology, highlighting its national orientation in fossil studies, doctoral training in local institutions and predominant activity in national organizations. These elements are important to consolidate Brazilian paleontological science globally. Regarding interdisciplinary relations, a clear proximity between Paleontology and Geosciences is observed, influenced by the history and current dynamics of the field. The study is available in full at this link: https://lume.ufrgs.br/handle/10183/278682.

Aerial Images_Part 2_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

Aerial Images_Part 2_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

Aerial Images_Part 1_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

Aerial Images_Part 1_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

DIAMOND D3.2 - Model Development Strategy – Update 1

Updated internal IAM surveys, which aim to update information on how to develop the models based on stakeholder insights.

opencc-by-4.0Oct 2024View details →

Development of an FKBP12-recruiting Chemical-Induced Proximity DNA-Encoded Library and its application in the discovery of an autophagy potentiator

Chemical inducers of proximity (CIPs) are molecules that recruit one protein to another and introduce new functionalities toward modulating protein states and activities. While CIP-mediated recruitment of E3 ligases is widely exploited for the development of degraders, other therapeutic modalities remain underexplored. We describe the first non-degrader CIP-DNA-Encoded Library (CIP-DEL) that recruits FKBP12 to target proteins using non-traditional acyclic structures, with an emphasis on introducing stereochemically-diverse and rigid connectors to attach the combinatorial library. We deployed this strategy to modulate ATG16L1 T300A, which confers genetic susceptibility to Crohn’s disease, and identified a compound that stabilizes the variant protein against Caspase-3 cleavage in a FKBP12-independent manner. We demonstrate in cellular models that this compound potentiates autophagy, reverses the xenophagy defects, and increases cytokine secretion characteristic of ATG16L1 T300A. This study  provides a platform to access new chemical space for CIP design to achieve novel therapeutic modalities guided by human genetics.

Development of a HPLC Method for Improved Detection and Analysis in Glycerol Electrooxidation Studies

# Dataset of "Development of a HPLC Method for Improved Detection and Analysis in Glycerol Electrooxidation Studies" --- ## GENERAL INFORMATION ---------------------- 1. Dataset title: "Development of a HPLC Method for Improved Detection and Analysis in Glycerol Electrooxidation Studies" 2. Authorship:       Name: Eva Ng       Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain     ORCID: 0009-0003-4184-5579     Name: Camilo A. Mesa     Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain     ORCID: 0000-0002-8450-2563     Name: Sixto Giménez     Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain     Email: <sjulia@uji.es>      ORCID: 0000-0002-4522-3174 ## FILE DESCRIPTION -------------- ### Figure 1 - Fig1a.txt : Chromatogram obtained from the analysis of the analytical standards containing glycerol electrooxidation products previously reported.  - Fig1b.txt : Chromatogram obtained from the analysis of the analytical standards containing glycerol electrooxidation products in this work. ### Figure 2 - Fig2a.txt : Referential chromatograms from analytical standards that can be produced during Glycerol Electrooxidation Reaction (GEOR). Reported method. - Fig2b.txt : Referential chromatograms from analytical standards that can be produced during Glycerol Electrooxidation Reaction (GEOR). New developed method. ### Figure 3 - Fig3a.txt : Calibration curve for oxalic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3b.txt : Calibration curve for tartronic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3c.txt : Calibration curve for L-sodium glycerate analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3d.txt : Calibration curve for glycolic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3e.txt : Calibration curve for formic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3f.txt : Calibration curve for dihydroxyacetone analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3g.txt : Calibration curve for glyceraldehyde analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. - Fig3h.txt : Calibration curve for glycerol analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate. ### Figure 4 - Fig4.txt : Glyceraldehyde standard concentrations as a function of different wavelengths. Each measurement was performed by triplicate and it is shown with its standard deviation. ### Figure 5 - Fig5.txt : Experimental concentrations at different calibration levels for glyceraldehyde and formic acid quantification with their standard deviation. Each measurement was performed by triplicate. ### Figure 6 -Fig6a.txt : Chromatograms obtained from a potentiostatic measurement performed at 1.62 V vs RHE in a solution containing LiOH 0.1 M and glycerol 50 mM and analytical standards as a reference.  -Fig6b.txt : Product distribution represented in terms of Faradaic Efficiency (FE). The percentages above the bars represent the total (FE) while inside the bars, they refer to the different products.