scholarly journals Evaluating forest soil quality after deforestation and loss of ecosystem services using network analysis and factor analysis techniques

CATENA ◽  
2022 ◽  
Vol 208 ◽  
pp. 105778
Author(s):  
Fayez Raiesi ◽  
Ali Beheshti
Keyword(s):  
Factor Analysis ◽  
Ecosystem Services ◽  
Network Analysis ◽  
Forest Soil ◽  
Soil Quality ◽  
Analysis Techniques

Ricerca preliminare sulla valutazione Italiana dell'Internet Disorder Scale – Short Form (IDS9-SF)

2019 ◽  
Author(s):  
Paolo Soraci
Keyword(s):  
Social Networks ◽  
Factor Analysis ◽  
Data Analysis ◽  
Concurrent Validity ◽  
Short Form ◽  
Analysis Techniques ◽  
Validity Criterion ◽  
Preliminary Research ◽  
Nomological Validity ◽  
Italian Territory

The purpose of this study is to create a new tool capable of diagnosing the severity of internet addiction (IA) and is based on the nine IGD criteria. These same criteria were suggested by the APA in the last edition of the DSM-51. A sample was recruited with a method of convenience and 300+ participants were recruited through different forums and social networks. The construct validity of the IDS9SF test was achieved through factor analysis and nomological validity. The concurrent validity, criterion and reliability of the test itself have been thoroughly investigated through the most common and consolidated data analysis techniques, confirming that the same test has sufficient psychometric properties to be used also in the Italian territory. Furthermore it is necessary to remember that this preliminary research is only valid in the field of data and statistics with all the limitations of the case and cannot be used for a real clinical evaluation.

scholarly journals The Revised Mood Rhythm Instrument: A Large Multicultural Psychometric Study

2021 ◽  
Vol 10 (3) ◽  
pp. 388
Author(s):  
Melissa Alves Braga de Oliveira ◽  
Euclides de Mendonça Filho ◽  
Alicia Carissimi ◽  
Luciene Lima dos Santos Garay ◽  
Marina Scop ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Network Analysis ◽  
Psychometric Properties ◽  
Item Response ◽  
Response Theory ◽  
Item Response Theory Analysis ◽  
Increased Risk ◽  
Psychometric Analyses ◽  
Self Reporting Questionnaire

Background: Recent studies with the mood rhythm instrument (MRhI) have shown that the presence of recurrent daily peaks in specific mood symptoms are significantly associated with increased risk of psychiatric disorders. Using a large sample collected in Brazil, Spain, and Canada, we aimed to analyze which MRhI items maintained good psychometric properties across cultures. As a secondary aim, we used network analysis to visualize the strength of the association between the MRhI items. Methods: Adults (n = 1275) between 18–60 years old from Spain (n = 458), Brazil (n = 415), and Canada (n = 401) completed the MRhI and the self-reporting questionnaire (SRQ-20). Psychometric analyses followed three steps: Factor analysis, item response theory, and network analysis. Results: The factor analysis indicated the retention of three factors that grouped the MRhI items into cognitive, somatic, and affective domains. The item response theory analysis suggested the exclusion of items that displayed a significant divergence in difficulty measures between countries. Finally, the network analysis revealed a structure where sleepiness plays a central role in connecting the three domains. These psychometric analyses enabled a psychometric-based refinement of the MRhI, where the 11 items with good properties across cultures were kept in a shorter, revised MRhI version (MRhI-r). Limitations: Participants were mainly university students and, as we did not conduct a formal clinical assessment, any potential correlations (beyond the validated SRQ) cannot be ascertained. Conclusions: The MRhI-r is a novel tool to investigate self-perceived rhythmicity of mood-related symptoms and behaviors, with good psychometric properties across multiple cultures.

scholarly journals Quantitative Dynamics Effects of Belt and Road Economies Trade Using Structural Gravity and Neural Networks

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110326
Author(s):  
Koffi Dumor ◽  
Li Yao ◽  
Jean-Paul Ainam ◽  
Edem Koffi Amouzou ◽  
Williams Ayivi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Bilateral Trade ◽  
Belt And Road Initiative ◽  
Neural Network Analysis ◽  
Analysis Techniques ◽  
Belt And Road ◽  
The Impact ◽  
Trade Partners

Recent research suggests that China’s Belt and Road Initiative (BRI) would improve the bilateral trade between China and its partners. This article uses detailed bilateral export data from 1990 to 2017 to investigate the impact of China’s BRI on its trade partners using neural network analysis techniques and structural gravity model estimations. Our main findings suggest that the BRI countries would raise exports by a modest 5.053%. This indicates that export and network upgrades should be considered from economic and policy perspectives. The results also show that neural networks is more robust compared with structural gravity framework.

scholarly journals Women and universities in El País (1977-2011): A methodological proposal for use of the ITCS for historical analysis

2019 ◽  
Vol 8 (1) ◽  
pp. 009
Author(s):  
Carlos G. Figuerola ◽  
Tamar Groves ◽  
Francisco J. Rodríguez
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Historical Analysis ◽  
Historical Research ◽  
Software Systems ◽  
Practical Case ◽  
Computer Tools ◽  
Analysis Techniques

The practice of historical research in recent years has been substantially affected by the emergence of the so-called digital humanities. New computer tools have been appearing, software systems capable of processing vast quantities of information in ways that until recently were inconceivable. Text mining and social network analysis techniques are sophisticated instruments that can help render a more enriching reading of the available data and draw useful conclusions. We reflect on this in the first part of this article, and then apply these tools to a practical case: quantifying and identifying the women who appear in university-related articles in the newspaper El País from its founding until 2011.

scholarly journals Konflik Penolakan Ritual Doa Leluhur Paguyuban Padma Buana di Pedukuhan Mangir Bantul, Yogyakarta

SMART ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 49-62
Author(s):  
Setyo Boedi Oetomo
Keyword(s):  
Factor Analysis ◽  
Cultural Tourism ◽  
Analysis Techniques ◽  
Root Cause ◽  
Multiple Factors ◽  
Tourism Management ◽  
The People ◽  
Local Residents ◽  
The Village

The people of Yogyakarta are known for their tolerance, where people of different religions can coexist peacefully especially with Javanese traditions. But in Mangir, a village in Bantul, Yogyakarta, in November 12, 2019, there was a case of local residents rejecting the procession of ancestral prayer rituals by the Paguyuban Padma Buana (PPB) who claims to be followers of Javanese Hinduism. This study aimed at disclosing the elements and roots of conflict from the Mangir community's rejection towards Paguyuban Padma Buana. As a case study, it used conflict analysis approach through timeline and factor analysis techniques. The results showed that the open conflict between the two groups has occurred since 2012 with the main issue of syncretic ritual practices of Hinduism, Buddhism, and Kejawen (Javanism) that involve people from various religions. In addition, the Maha Lingga Padma Buana Temple as a place of whorship and rituals has also the license problems. Reconciliation was carried out between residents with the Padma Buana followers in 2015. Unfortunately it was violated by the Paguyuban Padma Buana and became a trigger of conflict back in 2019. The cause of this conflict is multiple factors, all of which are interrelated. However, the root cause of the problem among Mangir people is mostly related to traditional revivalism and the distribution of cultural tourism management authorities. This conflict makes them polarized and vulnerable to interests that can create the village atmosphere worse

scholarly journals Biological and biochemical properties in evaluation of forest soil quality

2014 ◽  
Vol 56 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Ewa Błońska ◽  
Jarosław Lasota
Keyword(s):  
Enzyme Activity ◽  
Forest Soil ◽  
Soil Quality ◽  
Soil Ph ◽  
Chemical Properties ◽  
Biochemical Properties ◽  
Essential Elements ◽  
Forest Site ◽  
Physico Chemical ◽  
Density And Biomass

Abstract The aim of this study was to assess the possibility of using biological and biochemical parameters in the evaluation of forest soil quality and changes caused by land use. The study attempted to determine a relationship between the enzymatic activity of soil, the number of earthworms and soil physico-chemical properties. The study was carried out in central Poland in adjoining Forest Districts (Przedbórz and Smardzewice). In soil samples taken from 12 research plots, basic physico-chemical properties, enzyme activity (dehydrogenase, urease) and density and biomass of earthworms were examined. Enzyme activity showed a large diversity within the forest site types studied. The correlations between the activity of the enzymes studied and C/N ratio indicated considerable importance of these enzymes in metabolism of essential elements of organic matter of forest soils. Urease and dehydrogenase activity and earthworm number showed susceptibility to soil pH, which confirmed relationships between enzyme activity and abundance of earthworms and soil pH in H2O and KCl.

scholarly journals Using Factor Analysis Techniques to Find Out Objective Video Quality Metrics for Live Video Streaming over Cloud Mobile Media Services

2016 ◽  
Vol 8 (1) ◽  
pp. 126 ◽  
Author(s):  
Miguel Garcia-Pineda ◽  
Santiago Felici-Castell ◽  
Jaume Segura-Garcia
Keyword(s):  
Factor Analysis ◽  
Video Streaming ◽  
Video Quality ◽  
Mobile Media ◽  
Live Video ◽  
Analysis Techniques ◽  
Live Video Streaming ◽  
Streaming Applications ◽  
Opinion Score ◽  
Media Services

The increased adoption of smartphones, the access to mobile broadband networks and the availability of public Clouds allow new multimedia services, called Cloud Mobile Media Services. Under this new architecture the proliferation of live video streaming applications and the Quality of Experience (QoE) given by the final user are an issue, due to the higher and variable delay, as result of the virtualization methods used in the Clouds. Thus in this paradigm new challenges appear related to keep and estimate a good QoE in terms of a standarized subjective video quality called Mean Opinion Score (MOS). In this paper we analyze different approaches based on Factor Analysis techniques to estimate the subjective MOS both using Full Reference and Non Reference approaches. We compare the performance of the estimated MOS against publicly available video quality algorithms.

Sign in / Sign up

Export Citation Format

Share Document