cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/whvsfvxj7x.1
title: IMPLEMENTATION OF INDIGENOUS PEOPLES RIGHTS ACT( R.A.8371) IN TAGUDIN,ILOCOS SUR

description: IMPLEMENTATION OF THE INDIGENOUS PEOPLES’ RIGHTS ACT (R.A.8371) IN TAGUDIN, ILOCOS SUR
RICHARD PETER A. ANDAYA, Ph.D.
Associate Professor IV
Ilocos Sur Polytechnic State College, Tagudin
Campus, Tagudin, Ilocos Sur

PRESENTED AT THE: 3RD INTERNATIONAL CONFERENCE IN EDUCATION,ENGINEERING , RESEARCH, TECHNOLOGY, AND SOCIAL SCIENCES 9ICEERTS 2019)
Date Conducted	: MARCH 2-4,2019
Sponsoring Agency	:GLOBAL RESEARCHERS ASSOCIATION AND CONVERGENCE FOR EXCELLENCE (GRACE) INC.
PUBLISHED: Global Researchers Journal Volume 5; June 2019 pp107-112


ABSTRACT
This study was conducted to determine the Implementation of Indigenous People’s Rights Act of 1997 in Tagudin, Ilocos Sur. The following are the salient findings of the study: The local government unit officials have a “High” level of Administrative Capability. All the components namely Personnel Capability, Financial Capability and Leadership Capability obtained High level. As a whole, the implementation of the IPRA in Tagudin, Ilocos Sur along government Initiative is “High.” Based on the findings, the following conclusions were drawn.1) The local government officials have a high capability in implementing government initiative along
IPRA.2) The government initiatives along the IPRA are highly implemented. With the foregoing findings and conclusions, the researcher recommends the following: 1)The local government unit officials should; Help the Bagos preserve their cultural
practices and encourage other community residents to respect the Bagos through cultural studies and cultural revival.2)The local government unit officials should clearly explain to the Bagos the need and importance for them to be educated to be aware of their rights and privileges and to uplift their social and economic status.3)The Bagos should avail of every opportunity initiated by the
government as to be socially, politically and economically integrated.

Keywords: IPRA, Rights, Indigenous, Bagos and
Administrative Capability
DOI: 10.17632/whvsfvxj7x.2
title:  INDIGENOUS PEOPLES RIGHTS ACT IN TAGUDIN,ILOCOS SUR

description:  INDIGENOUS PEOPLES’ RIGHTS ACT IN TAGUDIN, ILOCOS SUR
RICHARD PETER A. ANDAYA, Ph.D.
Associate Professor IV
Ilocos Sur Polytechnic State College, Tagudin
Campus, Tagudin, Ilocos Sur

PRESENTED AT THE: 3RD INTERNATIONAL CONFERENCE IN EDUCATION,ENGINEERING , RESEARCH, TECHNOLOGY, AND SOCIAL SCIENCES 9ICEERTS 2019)
Date Conducted	: MARCH 2-4,2019
Sponsoring Agency	:GLOBAL RESEARCHERS ASSOCIATION AND CONVERGENCE FOR EXCELLENCE (GRACE) INC.
PUBLISHED: Global Researchers Journal Volume 5; June 2019 pp107-112


ABSTRACT
This study was conducted to determine the Implementation of Indigenous People’s Rights Act of 1997 in Tagudin, Ilocos Sur. The following are the salient findings of the study: The local government unit officials have a “High” level of Administrative Capability. All the components namely Personnel Capability, Financial Capability and Leadership Capability obtained High level. As a whole, the implementation of the IPRA in Tagudin, Ilocos Sur along government Initiative is “High.” Based on the findings, the following conclusions were drawn.1) The local government officials have a high capability in implementing government initiative along
IPRA.2) The government initiatives along the IPRA are highly implemented. With the foregoing findings and conclusions, the researcher recommends the following: 1)The local government unit officials should; Help the Bagos preserve their cultural
practices and encourage other community residents to respect the Bagos through cultural studies and cultural revival.2)The local government unit officials should clearly explain to the Bagos the need and importance for them to be educated to be aware of their rights and privileges and to uplift their social and economic status.3)The Bagos should avail of every opportunity initiated by the
government as to be socially, politically and economically integrated.

Keywords: IPRA, Rights, Indigenous, Bagos and
Administrative Capability
DOI: 10.17632/xdnrtw7kpb.1
title: Predicting Prostate Adenocarcinoma Patients’ Survival and Immune Signature: A Novel Risk Model Based on Telomere-Related Genes. Jief Zheng, Jiah Chen et al.

description: Telomere-related genes (TRGs) play an essential role in the carcinogenesis and progression of prostate adenocarcinoma（PRAD）. The prognostic value of TRGs remains unclear in PRAD. We conducted a study using The Cancer Genome Atlas-Prostate Adenocarcinoma (TCGA-PRAD) dataset as the training group and the Memorial Sloan-Kettering Cancer Center (MSKCC) and Gene Expression Omnibus (GEO) datasets as the validation group. We developed a risk model and a nomogram to predict survival rates in patients with PRAD. The expression of model genes and their possible regulatory mechanisms were then analyzed. Furthermore, we explored the relationship between the risk model and immune cell infiltration, chemotherapy drug sensitivity, and specific signaling pathways using the CIBERSORT algorithm, the Genomics of Drug Sensitivity in Cancer (GDSC) database, and motif enrichment. The integrated nomogram can be a good predictor of 3- and 5-year survival in patients with PRAD. This risk model is valuable for guiding the selection of immunotherapy and chemotherapy in the clinical treatment of patients with PRAD.
DOI: 10.17632/hng94w8m3r.1
title: Data for the paper titeled: Material Impacts on Performance of Tubular Daylighting Devices: A Comparative Study of Acrylic and Glass Domes

description: Measured data for clean and dirty Acrylic and Glass domes used with TDDs.
they are measured in Cairo, Egypt, during the summer of 2023.
DOI: 10.17632/d8nndp27z9.1
title: The calculation results of ground potential and electric field based on relative position for vertical 3 layered-soil

description: The calculation results of ground potentail and electric field for vertical 3 layered-soil, the current sourec is 3000A; the depth of grounding-electrode is 4m; the width of middle soil-layered is 30001m; the resistivity of left soil-layered is 2000Ωm; the resistivity of right soil-layered is 50Ωm; the resistivity of middle soil-layered is 1000Ωm or 20Ωm; the distance between grounding-electrode and observation point maintains 3km,5km and 10km respectively when moveing on of relative position. "A" column indicated the x-coordinate of relative position in two cases, the one is that the midpoint of distance between grounding-electrode and observation point is seen as the x-coordinate of relative position, the other is that the location of grounding-electrode is seen as the x-coordinate of relative position.
DOI: 10.17632/yc8sms55pp.1
title: Dataset for manuscript: Annual tree-rings curve-fitting for graphing the growth curve and determining the increment & cutting cycle period of Sungkai (Peronema canescens)

description: This data set is supplementary material for the manuscript Annual tree-rings curve-fitting for graphing the growth curve and determining the increment & cutting cycle period of Sungkai (Peronema canescens)
DOI: 10.17632/gptnxfmdtc.1
title: POC export flux in the Indian Ocean

description: The POC and 234Th data for examining the POC fluxes in the Indian Ocean
DOI: 10.17632/89gdrczzdd.1
title: FACTS Tool Data

description: Contained within this .zip file are the datasets used to analyse the reliability of the FACTS tool.
DOI: 10.17632/tx22dgf6r6.1
title: Revisão algas e obesidade

description: Artigos para análise
DOI: 10.17632/jjf8yv7vch.1
title: Data from Comparative Analysis of Resistance to Biodegradation in Natural Geotextile Fibers

description: This research provides a comprehensive analysis of the behavior of natural geotextile fibers - Syagrus coronata, Typha domingensis, and Eleocharis sp., under environmental stressors over a period of 120 days. A total of 24 samples, measuring 7 cm in length, were selected for field exposure, comprising geotextile fibers derived from the cited species. Most samples underwent treatment with waterproofing resin at two concentrations: 0.324 mg/mL for a single layer (concentration A) and 0.648 mg/mL for a double layer (concentration B). Control samples were left untreated. Fracture analysis was conducted using digital processing of scanning electron microscopy images. The results revealed variable resistance to degradation, influenced by different treatments and exposure durations. Notably, Typha domingensis fibers treated with concentration B resin exhibited reduced cracking, attributable to their unique morphological and structural characteristics and their interaction with the protective resin, Eleocharis sp. fibers treated with a double layer (concentration B) demonstrated superior resistance to degradation compared to concentration A. Conversely, no significant difference between treatments was observed in Syagrus coronata fibers, which nonetheless exhibited inherent resistance to degradation even without treatment. Typha domingensis fibers demonstrated superior physical performance compared to other fibers, which can be attributed to their inherent morphological and structural characteristics as well as their intrinsic composition. These findings underscore the importance of additives and protective treatments in enhancing the durability and resistance of geotextiles.
DOI: 10.17632/zp5c895yrg.1
title: EarSegDB 25

description:        This dataset is created for the purpose of automatic segmentation of the human ear in an unconstrained environment. It consists of 1275 ear images of both left and right ear from 25 different persons and  1275 manually created segmentation masks for each respective raw ear image. The raw image data is divided into two parts- Train and Test. Four images from each person (two from right ear and two from left ear) are selected randomly and kept in the Test folder (100 images). The rests are kept in Train folder (1175 images). The masks are also divided in the same way as the respective raw ear images and kept in two folders as Trainannot (1175 images) and Testannot (100 images).  
       The collected data is completely original, new and the samples are collected from students, teachers and employees of the Gauhati University, Guwahati, Asssam, India and one of its affiliated colleges (Pub Kamrup College, Baihata Chariali, Kamrup, Assam India). Data is collected from both Male and Female of age range 21-58 years using a smartphone camera with varying the angle and distance and having no control over the environment. The masks are manually created for each of the images keeping the ear part as white and the non-ear part as black.  
       A Table with title "EarSegDB 25 info" is also there which carries additional information such as left and right ear images, age and gender of each person. This additional data could be useful for researchers to carry out further works such as age and gender prediction etc. using ear images.
DOI: 10.17632/3cz2dj3hzz.1
title: Complementary Prism Networks

description: Let G be a graph and Gc the complement graph of G. The complementary prism of G, denoted by GGc, is the network obtained from the disjoint union of G and Gc by adding edges between the corresponding vertices of G and Gc.
DOI: 10.17632/3cz2dj3hzz.3
title: Complementary Prism Networks

description: Let G be a graph and Gc the complement graph of G. The complementary prism of G, denoted by GGc, is the network obtained from the disjoint union of G and Gc by adding edges between the corresponding vertices of G and Gc.
DOI: 10.17632/4t353pfgwj.1
title: DATAS - Dispatch Algorithm 

description: Results of different dispatch algorithm as well as load assessment questionnaire is enclosed.
DOI: 10.17632/mv436mnrjm.2
title: Colour Detection and Segmentation based Invisible Cloak

description: This research paper presents a fascinating project on creating an "Invisible Cloak" effect using Python and Computer Vision techniques. While true invisibility is still a fantasy, our approach leverages Color Detection and Segmentation to achieve a captivating visual illusion. The system identifies the person wearing the cloak and the background colors, then seamlessly blends the person with the surroundings, giving the appearance of vanishing from view. We explore the potential applications in entertainment, augmented reality, and creative visual effects. The methodology is straightforward, utilizing existing computer vision techniques, making it accessible and capable of real-time processing. However, challenges exist, such as sensitivity to lighting and background complexities. 

This project aims to creates a magical experience by using an Image Processing technique called Color Detection & Segmentation resulting in false sense of Invisibility in the frame.

OBJECTIVES:
1- Capture & Store background frame using Image Acquisition by Store a single frame before starting the infinite loop
2- Detect the defined color using color detection & segmentation algorithm
3- Segment out the defined colored part by generating mask & applying it on frame
4- Generate the final output to create a magical effect by combining frames together, & remove the unnecessary noise from masks.
DOI: 10.17632/mv436mnrjm.3
title: Colour Detection and Segmentation based Invisible Cloak

description: This research paper presents a fascinating project on creating an "Invisible Cloak" effect using Python and Computer Vision techniques. While true invisibility is still a fantasy, our approach leverages Color Detection and Segmentation to achieve a captivating visual illusion. The system identifies the person wearing the cloak and the background colors, then seamlessly blends the person with the surroundings, giving the appearance of vanishing from view. We explore the potential applications in entertainment, augmented reality, and creative visual effects. The methodology is straightforward, utilizing existing computer vision techniques, making it accessible and capable of real-time processing. However, challenges exist, such as sensitivity to lighting and background complexities. 

This project aims to creates a magical experience by using an Image Processing technique called Color Detection & Segmentation resulting in false sense of Invisibility in the frame.

OBJECTIVES:
1- Capture & Store background frame using Image Acquisition by Store a single frame before starting the infinite loop
2- Detect the defined color using color detection & segmentation algorithm
3- Segment out the defined colored part by generating mask & applying it on frame
4- Generate the final output to create a magical effect by combining frames together, & remove the unnecessary noise from masks.
DOI: 10.17632/mv436mnrjm.4
title: Colour Detection and Segmentation based Invisible Cloak

description: This research paper presents a fascinating project on creating an "Invisible Cloak" effect using Python and Computer Vision techniques. While true invisibility is still a fantasy, our approach leverages Color Detection and Segmentation to achieve a captivating visual illusion. The system identifies the person wearing the cloak and the background colors, then seamlessly blends the person with the surroundings, giving the appearance of vanishing from view. We explore the potential applications in entertainment, augmented reality, and creative visual effects. The methodology is straightforward, utilizing existing computer vision techniques, making it accessible and capable of real-time processing. However, challenges exist, such as sensitivity to lighting and background complexities. 

This project aims to creates a magical experience by using an Image Processing technique called Color Detection & Segmentation resulting in false sense of Invisibility in the frame.

OBJECTIVES:
1- Capture & Store background frame using Image Acquisition by Store a single frame before starting the infinite loop
2- Detect the defined color using color detection & segmentation algorithm
3- Segment out the defined colored part by generating mask & applying it on frame
4- Generate the final output to create a magical effect by combining frames together, & remove the unnecessary noise from masks.
DOI: 10.17632/6wypw396y9.1
title: DESARROLLO DE UNA ESTRATEGIA DE COMUNICACIÓN PARA LA TIENDA VIRTUAL @SANDIA.COL

description: DESARROLLO DE UNA ESTRATEGIA DE COMUNICACIÓN PARA LA TIENDA VIRTUAL @SANDIA.COL
DOI: 10.17632/ztmwmbg9pd.2
title: Supplementary dataset: Using community features to track plant successions and infer assembly processes

description: Supplementary dataset for START-Project from 2019-2022 at the Ödenwinkel research platform, Austria, used in "Using community features to track plant successions and infer assembly processes"

Abstract
In primary successions, assembling plant communities are key for ecosystem functioning and stability. Often, plant successions are described on a taxonomic, phylogenetic and/or functional level, where species’ identities and traits are considered. In this study, we additionally considered community features characterizing whole plant assemblages to capture emerging properties only available at the community level. Using a customized multispectral 3D plant scanner that returns morphological and physiological parameters of communities that represent proxies for the frequency distribution of traits within a community and inform about the productivity, the prevalence of competition among plant species, and ecosystem functions of local vegetation. By tracking taxonomic and phylogenetic composition and diversity of communities as well as changes in plant strategies and functions, our data indicate, among others, shift from fast-growing, acquisitive to slow-growing, conservative plant strategies; increased productivity; higher competition between plant species; and an increasing contribution to the biogeomorphic stability. Analogous to trait-based approaches on the species level, we used community feature dissimilarities and measures on environmental heterogeneity to infer community assembly processes. Consistent with successional theory, our results indicate that stochastic processes dominate in the early successional stage, whereas communities are mainly shaped by deterministic processes including environmental filtering and species interactions at late succession. We conclude that assessments of plant community features, facilitated by the use of field-ready 3D scanners, provide complementary information to trait-based approaches on the species level with implications for ecological processes.

Dataset includes:
PlantEye data
Quantitative traits
Qualitative traits
DOI: 10.17632/ztmwmbg9pd.1
title: Supplementary dataset: Moving from species traits to community features to track plant successions and infer assembly processes

description: Supplementary dataset for START-Project from 2019-2022 at the Ödenwinkel research platform, Austria, used in "Moving from species traits to community features to track plant successions and infer assembly processes"

Abstract
In primary successions, assembling plant communities are key for ecosystem functioning and stability. Often, plant successions are described on a taxonomic, phylogenetic and/or functional level, where species’ identities and traits are considered. In this study, we additionally considered community features characterizing whole plant assemblages to capture emerging properties only available at the community level. Using a customized multispectral 3D plant scanner that returns morphological and physiological parameters of communities that represent proxies for the frequency distribution of traits within a community and inform about the productivity, the prevalence of competition among plant species, and ecosystem functions of local vegetation. By tracking taxonomic and phylogenetic composition and diversity of communities as well as changes in plant strategies and functions, our data indicate, among others, shift from fast-growing, acquisitive to slow-growing, conservative plant strategies; increased productivity; higher competition between plant species; and an increasing contribution to the biogeomorphic stability. Analogous to trait-based approaches on the species level, we used community feature dissimilarities and measures on environmental heterogeneity to infer community assembly processes. Consistent with successional theory, our results indicate that stochastic processes dominate in the early successional stage, whereas communities are mainly shaped by deterministic processes including environmental filtering and species interactions at late succession. We conclude that assessments of plant community features, facilitated by the use of field-ready 3D scanners, provide complementary information to trait-based approaches on the species level with implications for ecological processes.

Dataset includes:
PlantEye data
Quantitative traits
Qualitative traits
DOI: 10.17632/ztmwmbg9pd.3
title: Supplementary dataset: Tracking succession by means of 3D scans of plant communities in a glacier forefield to infer assembly processes

description: Supplementary dataset for START-Project from 2019-2022 at the Ödenwinkel research platform, Austria, used in "Using community features to track plant successions and infer assembly processes"

Abstract
In primary successions, assembling plant communities are key for ecosystem functioning and stability. Often, plant successions are described on a taxonomic, phylogenetic and/or functional level, where species’ identities and traits are considered. In this study, we additionally considered community features characterizing whole plant assemblages to capture emerging properties only available at the community level. Using a customized multispectral 3D plant scanner that returns morphological and physiological parameters of communities that represent proxies for the frequency distribution of traits within a community and inform about the productivity, the prevalence of competition among plant species, and ecosystem functions of local vegetation. By tracking taxonomic and phylogenetic composition and diversity of communities as well as changes in plant strategies and functions, our data indicate, among others, shift from fast-growing, acquisitive to slow-growing, conservative plant strategies; increased productivity; higher competition between plant species; and an increasing contribution to the biogeomorphic stability. Analogous to trait-based approaches on the species level, we used community feature dissimilarities and measures on environmental heterogeneity to infer community assembly processes. Consistent with successional theory, our results indicate that stochastic processes dominate in the early successional stage, whereas communities are mainly shaped by deterministic processes including environmental filtering and species interactions at late succession. We conclude that assessments of plant community features, facilitated by the use of field-ready 3D scanners, provide complementary information to trait-based approaches on the species level with implications for ecological processes.

Dataset includes:
PlantEye data
Quantitative traits
Qualitative traits
DOI: 10.17632/h8y6zjckcw.1
title: Graph-based analyses of dynamic water-mediated hydrogen-bond networks in phosphatidylserine:cholesterol membranes

description: Molecular dynamics simulations of POPS lipid bilayers with and without cholesterol.