Publications associées à Identité de genre

Novel theory and potential applications of central diastolic pressure decay time constant

Nikolaos Stergiopoulos, Georgios Rovas, Sokratis Anagnostopoulos, Vasiliki Bikia, Patrick Segers

Central aortic diastolic pressure decay time constant ( ) is according to the two-element Windkessel model equal to the product of total peripheral resistance (R) times total arterial compliance (C ). As such, it is related to arterial stiffness, which has ...

2024

Targeted Influence with Community and Gender-Aware Seeding

Liangwei Chen, Maciej Styczen

When spreading information over social networks, seeding algorithms selecting users to start the dissemination play a crucial role. The majority of existing seeding algorithms focus solely on maximizing the total number of reached nodes, overlooking the is ...

Assoc Computing Machinery2022

Identity-Society (Mis)Alignment And The Instrumentalization Of Firm Creation: Creative Destruction And Creative Reconstruction

Marc Gruber, Shirah Eden Foy

Research on founder identity has significantly advanced our understanding of entrepreneurship and related literatures. By departing from the widely held-though often implicit-assumption that culture defines the parameters of identity formation, this paper ...

ACAD MANAGEMENT2022

Doppelganger-based training: Imitating our virtual self to accelerate interpersonal skills learning

Maria del Carmen Sandi Perez, João Pedro de Matos Rodrigues, Marion Sandy Curdy

Interpersonal skills require mastering a wide range of competencies such as communication and adaptation to different situations. Effective training includes the use of videos in which role models perform the desired behaviours such that trainees can learn ...

2021

Age- and gender-related differences in brain tissue microstructure revealed by multi-component T2 relaxometry

Erick Jorge Canales Rodriguez

In spite of extensive work, inconsistent findings and lack of specificity in most neuroimaging techniques used to examine age- and gender-related patterns in brain tissue microstructure indicate the need for additional research. Here, we performed the larg ...

2021

A Comparison of Social Robot to Tablet and Teacher in a New Script Learning Context

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal

This research occurred in a special context where Kazakhstan's recent decision to switch from Cyrillic to the Latin-based alphabet has resulted in challenges connected to teaching literacy, addressing a rare combination of research hypotheses and technical ...

FRONTIERS MEDIA SA2020

Gender medicine and oncology: report and consensus of an ESMO workshop

Jacques Fellay

Background: The importance of sex and gender as modulators of disease biology and treatment outcomes is well known in other disciplines of medicine, such as cardiology, but remains an undervalued issue in oncology. Considering the increasing evidence for t ...

OXFORD UNIV PRESS2019

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-123-FP-CIT indices

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

ObjectivesTo provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-123-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.Methods(123)I-FP-CIT SPECT was performed at a singl ...

Springer2019

Early Urinary Biomarkers in Pediatric Autosomal Dominant Polycystic Kidney Disease (ADPKD): No Evidence in the Interest of Urinary Neutrophil Gelatinase-Associated Lipocalin (uNGAL)

Marco Solcà

Background: Autosomal Dominant Polycystic Kidney Disease (ADPKD) is increasingly diagnosed during childhood by the presence of renal cysts in patients with a positive familial history. No curative treatment is available and early detection and diagnosis co ...

2019

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Hannah Muckenhirn, Selen Hande Kabil

Automatic Gender Recognition (AGR) is the task of identifying the gender of a speaker given a speech signal. Standard approaches extract features like fundamental frequency and cepstral features from the speech signal and train a binary classifier. Inspire ...

ISCA-INT SPEECH COMMUNICATION ASSOC2018