Search results for " generalization."
showing 10 items of 11 documents
Comparison of input data with different spatial resolution in landscape pattern analysis – A case study from northern Latvia
2017
A suitable spatial scale needs to be selected in geographical and landscape ecological research, and this requires great consideration as different scales have profound effect on derived landscape spatial patterns. Numerous studies have investigated the effects of different scales on landscape metrics using simulated patterns, but few have been conducted to compare different data sources with variable scale for regional- and landscape-scale assessments. Possibly this has occurred because researchers have been prone to use the best available source, a well-known standard, and easiest to use. This study was conducted to assess the impact of input data resolution on values of landscape pattern…
A reliability generalization meta‐analysis of self‐report measures of muscle dysmorphia
2020
This study is a reliability generalization meta‐analysis that reviews continuous measures used to assess muscle dysmorphia (MD): The Muscle Appearance Satisfaction Scale, Muscle Dysmorphic Disorder Inventory, four different versions of the Muscle Dysmorphia Inventory, Adonis Complex Questionnaire, and the Modified Dysmorphia Symptoms Questionnaire. A total of 15,156 individuals from 61 studies provided 73 reliability estimates (alpha coefficients and/or test–retest reliability coefficients) for this meta‐analysis. Random‐ and mixed‐effects models were applied in the statistical analyses. We present the average reliability estimates for each measure, moderator analysis of reliability estimat…
Social exclusion influences conditioned fear acquisition and generalization: A mediating effect from the medial prefrontal cortex
2020
Abstract Fear acquisition and generalization play key roles in promoting the survival of mammals and contribute to anxiety disorders. While previous research has provided much evidence for the repercussions of social exclusion on mental health, how social exclusion affects fear acquisition and generalization has received scant attention. In our study, participants were divided into two groups according to two Cyberball paradigm conditions (exclusion/inclusion). Both groups underwent a Pavlovian conditioning paradigm, functional near-infrared spectroscopy (fNIRS), and skin conductance response (SCR) assessments. We aimed to determine the effects of social exclusion on fear acquisition and ge…
Sources and Boundaries of Institutional and Linguistic Normativity. Towards a Critical Social Ontology.
2013
Since Hegel and until speech acts theory and contemporary social ontology it came to full development the idea that most of reasons, duties, rights, entitlements, have to do, against Kant, with our participation to social, linguistic and institutional practices of the lifeform to which we belong rather than or more than with our dealing with “substantive moral principles”. But if we accept, with Hegel, that every individual rational determination of the will is justified as such only as a part of our collective Sittlichkheit (Hegel, 1967, cf. Di Lorenzo Ajello, 2009); if we accept from speech acts theory that there are commitments, rights and entitlements specific to every type of speech ac…
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
2019
Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Central Gland (CG) and Peripheral Zone (PZ) can lead to differential diagnosis, since tumor's frequency and severity differ in these regions. To tackle the prostate zonal segmentation task, we propose a novel Convolutional Neural Network (CNN), called USE-Net, which incorporates Squeeze-and-Excitation (SE) blocks into U-Net. Especially, the SE blocks are added after every Encoder (Enc USE-Net) or Encoder-Decoder block (Enc-Dec USE-Net). This study ev…
Post-processing of Pixel and Object-Based Land Cover Classifications of Very High Spatial Resolution Images
2020
The state of the art is plenty of classification methods. Pixel-based methods include the most traditional ones. Although these achieved high accuracy when classifying remote sensing images, some limits emerged with the advent of very high-resolution images that enhanced the spectral heterogeneity within a class. Therefore, in the last decade, new classification methods capable of overcoming these limits have undergone considerable development. Within this research, we compared the performances of an Object-based and a Pixel-Based classification method, the Random Forests (RF) and the Object-Based Image Analysis (OBIA), respectively. Their ability to quantify the extension and the perimeter…
Reliability Generalization Meta-Analysis
2020
Un meta-análisis de generalización de confiabilidad (MA GF) es un método para integrar estadísticamente las estimaciones de fiabilidad obtenidas en diferentes aplicaciones de un test. El MA GF permite a los investigadores caracterizar la fiabilidad promedio de las puntuaciones obtenida en un test en múltiples estudios y situaciones y estimar el grado de variabilidad en los coeficientes de fiabilidad en diferentes tipos de medidas, muestras y contextos. Por lo tanto, sus resultados permiten ofrecer pautas a los investigadores y profesionales aplicados sobre qué escalas son más fiables para evaluar un constructo y en qué circunstancias. Así pues, los investigadores y profesionales necesitan s…
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study
2020
Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric magnetic resonance imaging (MRI), which provides both morphologic and functional information pertaining to the pathological regions. Along with whole prostate gland segmentation, distinguishing between the central gland (CG) and peripheral zone (PZ) can guide toward differential diagnosis, since the frequency and severity of tumors differ in these regions; however, their boundary is often weak and fuzzy. This work presents a preliminary study on deep learning to automatically delineate the CG and PZ, aiming at evaluating the generalization ability o…
Intranasal oxytocin decreases fear generalization in males, but does not modulate discrimination threshold
2021
Background: A previously acquired fear response often spreads to perceptually or conceptually close stimuli or contexts. This process, known as fear generalization, facilitates the avoidance of danger, and dysregulations in this process play an important role in anxiety disorders. Oxytocin (OT) has been shown to modulate fear learning, yet effects on fear generalization remain unknown. Methods: We employed a randomized, placebo-controlled, double-blind, between-subject design during which healthy male participants received either intranasal OT or placebo (PLC) following fear acquisition and before fear generalization with concomitant acquisition of skin conductance responses (SCRs). Twenty-…
Reliability Generalization Study of the Person-Centered Care Assessment Tool
2021
The so-called Person-Centered Care (PCC) model identifies three fundamental principles: changing the focus of attention from the disease to the person, individualizing care, and promoting empowerment. The Person-Centered Care Assessment Tool (P-CAT) has gained wide acceptance as a measure of PCC in recent years due to its brevity and simplicity, as well as its ease of application and interpretation. The objective of this study is to carry out a reliability generalization meta-analysis to estimate the internal consistency of the P-CAT and analyze possible factors that may affect it, such as the year of publication, the care context, the application method, and certain sociodemographic proper…