Caffeine induces age-dependent increases in brain complexity and criticality during sleep
Philipp Thölke
Maxine Arcand-Lavigne
Tarek Lajnef
Sonia Frenette
Julie Carrier
Karim Jerbi
Caffeine is the most widely consumed psychoactive stimulant worldwide. Yet important gaps persist in understanding its effects on the brain,… (voir plus) especially during sleep. We analyzed sleep EEG in 40 subjects, contrasting 200mg of caffeine against a placebo condition, utilizing inferential statistics and machine learning. We found that caffeine ingestion led to an increase in brain complexity, a widespread flattening of the power spectrum’s 1/f-like slope, and a reduction in long-range temporal correlations. Being most prominent during NREM sleep, these results suggest that caffeine shifts the brain towards a critical regime and more diverse neural dynamics. Interestingly, this was more pronounced in younger adults (20-27 years) compared to middle-aged participants (41-58 years) during REM sleep, while no significant age effects were observed during NREM. Interpreting these data in the light of modeling and empirical work on EEG-derived measures of excitation-inhibition balance suggests that caffeine promotes a shift in brain dynamics towards increased neural excitation and closer proximity to a critical regime, particularly during NREM sleep.
2025-01-05
bioRxiv (prépublication)
doi.org
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors
No'e Dia
M. J. Yantovski-Barth
Alexandre Adam
Micah Bowles
Laurence Perreault-Levasseur
Yashar Hezaveh
Anna M. M. Scaife
Inferring sky surface brightness distributions from noisy interferometric data in a principled statistical framework has been a key challeng… (voir plus)e in radio astronomy. In this work, we introduce Imaging for Radio Interferometry with Score-based models (IRIS). We use score-based models trained on optical images of galaxies as an expressive prior in combination with a Gaussian likelihood in the uv-space to infer images of protoplanetary disks from visibility data of the DSHARP survey conducted by ALMA. We demonstrate the advantages of this framework compared with traditional radio interferometry imaging algorithms, showing that it produces plausible posterior samples despite the use of a misspecified galaxy prior. Through coverage testing on simulations, we empirically evaluate the accuracy of this approach to generate calibrated posterior samples.
2025-01-05
ArXiv (prépublication)
arxiv.org
arxiv.org
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors
No'e Dia
M. J. Yantovski-Barth
Alexandre Adam
Micah Bowles
Laurence Perreault-Levasseur
Yashar Hezaveh
Anna M. M. Scaife
Inferring sky surface brightness distributions from noisy interferometric data in a principled statistical framework has been a key challeng… (voir plus)e in radio astronomy. In this work, we introduce Imaging for Radio Interferometry with Score-based models (IRIS). We use score-based models trained on optical images of galaxies as an expressive prior in combination with a Gaussian likelihood in the uv-space to infer images of protoplanetary disks from visibility data of the DSHARP survey conducted by ALMA. We demonstrate the advantages of this framework compared with traditional radio interferometry imaging algorithms, showing that it produces plausible posterior samples despite the use of a misspecified galaxy prior. Through coverage testing on simulations, we empirically evaluate the accuracy of this approach to generate calibrated posterior samples.
2025-01-05
ArXiv (prépublication)
doi.org
arxiv.org
JUNO sensitivity to invisible decay modes of neutrons
Juno Collaboration Angel Abusleme
Angel Abusleme
Thomas Adam
Kai Adamowicz
Shakeel Ahmad
Rizwan Ahmed
Sebastiano Aiello
Fengpeng An
Qi An
Giuseppe Andronico
Nikolay Anfimov
Vito Antonelli
Tatiana Antoshkina
João Pedro Athayde Marcondes de André
Didier Auguste
Weidong Bai
Nikita Balashov
Wander Baldini
Andrea Barresi
Davide Basilico … (voir 669 de plus)
Eric Baussan
Marco Bellato
Marco Beretta
Antonio Bergnoli
Daniel Bick
Lukas Bieger
Svetlana Biktemerova
Thilo Birkenfeld
Iwan Blake
Simon Blyth
Anastasia Bolshakova
Mathieu Bongrand
Dominique Breton
Augusto Brigatti
Riccardo Brugnera
Riccardo Bruno
Antonio Budano
Jose Busto
Anatael Cabrera
Barbara Caccianiga
Hao Cai
Xiao Cai
Yanke Cai
Zhiyan Cai
Zucong Cai
Stéphane Callier
Steven Calvez
Antonio Cammi
Agustin Campeny
Chuanya Cao
C. Cao
Guofu Cao
Jun Cao
Rossella Caruso
Cédric Cerna
Vanessa Cerrone
Jinfan Chang
Yun Chang
Auttakit Chatrabhuti
Chao Chen
Guoming Chen
Pingping Chen
Shaomin Chen
Xin Chen
Yiming Chen
Yixue Chen
Yu Chen
Zelin Chen
Zhangming Chen
Zhiyuan Chen
Zikang Chen
Jie Cheng
Yaping Cheng
Yu Chin Cheng
Yuanyuan Zhang
Alexander Chepurnov
Alexey Chetverikov
Davide Chiesa
Pietro Chimenti
Yen-Ting Chin
Po-Lin Chou
Ziliang Chu
Artem Chukanov
Gérard Claverie
Catia Clementi
Barbara Clerbaux
Marta Colomer Molla
Selma Conforti Di Lorenzo
Alberto Coppi
Daniele Corti
Simon Csakli
Chenyang Cui
Flavio Dal Corso
Olivia Dalager
Jaydeep Datta
Christophe De La Taille
C. Taille
Zhi Deng
Ziyan Deng
Xiaoyu Ding
Xuefeng Ding
Yayun Ding
Bayu Dirgantara
Carsten Dittrich
Sergey Dmitrievsky
Tadeas Dohnal
Dmitry Dolzhikov
Georgy Donchenko
Jianmeng Dong
Evgeny Doroshkevich
Wei Dou
Marcos Dracos
Frédéric Druillole
Ran Du
S. X. Du
Shuxian Du
Yujie Duan
Katherine Dugas
K. Dugas
Stefano Dusini
Hongyue Duyang
Jessica Eck
J. Eck
Timo Enqvist
Andrea Fabbri
Ulrike Fahrendholz
Lei Fan
Jian Fang
Wenxing Fang
Dmitry Fedoseev
Haiping Peng
Li-Cheng Feng
Qichun Feng
Federico Ferraro
Amélie Fournier
Fritsch Fritsch
Haonan Gan
Feng Gao
Alberto Garfagnini
Arsenii Gavrikov
Marco Giammarchi
Nunzio Giudice
Maxim Gonchar
G. Gong
Hui Gong
Guanghua Gong
Yuri Gornushkin
Marco Grassi
Maxim Gromov
Vasily Gromov
Minghao Gu
Xiang Gu
Xiaofei Gu
Yunting Gu
M. Guan
Yu Gu
Mengyun Guan
Yuduo Guan
Nunzio Guardone
Rosa Maria Guizzetti
Cong Guo
Wanlei Guo
Caren Hagner
Hechong Han
Ran Han
Yang Han
Jinhong He
Miao He
Wei He
Xinhai He
Tobias Heinz
Patrick Hellmuth
Yuekun Heng
Rafael Herrera
Yuenkeung Hor
Shaojing Hou
Yee Hsiung
Bei-Zhen Hu
Hang Hu
Jun Hu
Peng Hu
Shouyang Hu
Tao Hu
Yuxiang Hu
Zhuojun Hu
Guihong Huang
Hanxiong Huang
Jinhao Huang
Jun-Hao Huang
Junting Huang
Kaixuan Huang
Shengheng Huang
Wenhao Huang
Xingtao Huang
Xin Huang
Yongbo Huang
Jiaqi Hui
Lei Huo
Wenju Huo
Cédric Huss
Safeer Hussain
Leonard Imbert
Ara Ioannisian
Roberto Isocrate
Arshak Jafar
Beatrice Jelmini
Ignacio Jeria
Xiaolu Ji
Huihui Jia
Junji Jia
Siyu Jian
Cailian Jiang
Di Jiang
Guangzheng Jiang
Wei Jiang
Xiaoshan Jiang
Xiaozhao Jiang
Yixuan Jiang
Xiang Jing
Xiaoping Jing
Cécile Jollet
Li Kang
Rebin Karaparabil
Narine Kazarian
Ali Khan
Amina Khatun
Khanchai Khosonthongkee
Denis Korablev
Konstantin Kouzakov
Alexey Krasnoperov
Sergey Kuleshov
S. Kumaran
Sindhujha Kumaran
Nikolay Kutovskiy
Loïc Labit
Tobias Lachenmaier
Haojing Lai
Cecilia Landini
Sébastien Leblanc
Frederic Lefevre
Rui Li
Rupert Leitner
Jason Leung
Demin Li
Yi Wang
Fule Li
Fei Li
Gaosong Li
Hongjian Li
Huang Li
Jiajun Li
Min Li
Nan Li
Qingjiang Li
Ruhui Li
Ruiting Lei
Shanfeng Li
Shuo Li
Tao Li
Teng Li
Weidong Li
Weiguo Li
Xiaomei Li
Xiaonan Li
Xinglong Li
Yi Li
Yichen Li
Yufeng Li
Zhaohan Li
Zhibing Li
Ziyuan Li
Zonghai Li
An-An Liang
Hao Liang
Jiaming Yan
Yilin Liao
Jiajun Liao
Y. P. Liao
Ayut Limphirat
Yuzhong Liao
Guey-Lin Lin
Shengxin Lin
Tao Lin
Jiajie Ling
Xin Ling
Ivano Lippi
Caimei Liu
Yang Liu
Fengcheng Liu
Haidong Liu
Haotian Liu
Hongbang Liu
Hongjuan Liu
Hongtao Liu
Hongyang Liu
Jianglai Liu
Jiaxi Liu
Jinchang Liu
Min Liu
Qian Liu
Qin Liu
Runxuan Liu
Shenghui Liu
Shubin Liu
Shulin Liu
Xiaowei Liu
Xiwen Liu
Xuewei Liu
Yankai Liu
Zhen Liu
Lorenzo Loi
Alexey Lokhov
Paolo Lombardi
Claudio Lombardo
Kai Loo
Chuan Lu
Haoqi Lu
Jingbin Lu
Junguang Lu
Meishu Lu
Peizhi Lu
Shuxiang Lu
Xianguo Lu
Bayarto Lubsandorzhiev
Sultim Lubsandorzhiev
Livia Ludhova
Arslan Lukanov
F. Luo
Guang Luo
Fengjiao Luo
Jianyi Luo
Shu Luo
Wuming Luo
Xiaojie Luo
Vladimir Lyashuk
Biao Ma
Bing Ma
Qiumei Ma
Bangzheng Ma
Si Ma
Xiaoyan Ma
Xubo Ma
Jihane Maalmi
Jingyu Mai
Marco Malabarba
Yury Malyshkin
Roberto Carlos Mandujano
Fabio Mantovani
Xin Mao
Yajun Mao
S. Mari
Filippo Marini
Stefano M. Mari
Agnese Martini
Matthias Mayer
Davit Mayilyan
Ints Mednieks
Yu Meng
Anita Meraviglia
Anselmo Meregaglia
Emanuela Meroni
Lino Miramonti
Nikhil Mohan
Michele Montuschi
Cristobal Morales Reveco
M. Nastasi
Dmitry V. Naumov
Massimiliano Nastasi
Elena Naumova
Diana Navas-Nicolas
Igor Nemchenok
Minh Thuan Nguyen Thi
Alexey Nikolaev
F. Ning
Zhe Ning
Feipeng Ning
Hiroshi Nunokawa
Lothar Oberauer
Juan Pedro Ochoa-Ricoux
Alexander Olshevskiy
Domizia Orestano
Fausto Ortica
Rainer Othegraven
A. Paoloni
George Parker
Alessandro Paoloni
Sergio Parmeggiano
Achilleas Patsias
Y. P. Pei
Luca Pelicci
Yatian Pei
Anguo Peng
Yu Peng
Yuefeng Peng
Zhaoyuan Peng
Elisa Percalli
Willy Perrin
Frédéric Perrot
P. Petitjean
Fabrizio Petrucci
Pierre-Alexandre Petitjean
Oliver Pilarczyk
Luis Felipe Piñeres Rico
Artyom Popov
Pascal Poussot
Ezio Previtali
Fazhi Qi
Ming Qi
Xiaohui Qi
Sen Qian
Xiangyang Qian
Zhen Qian
Hao Qiao
Xiaohui Qian
Zhonghua Qin
S. Qiu
Manhao Qu
Shoukang Qiu
Z. Qu
Gioacchino Ranucci
Zhenning Qu
A. Re
Abdel Rebii
Alessandra Re
Mariia Redchuk
Gioele Reina
Bin Ren
Jie Ren
Yuhan Ren
Barbara Ricci
Komkrit Rientong
Mariam Rifai
Mathieu Roche
Narongkiat Rodphai
Aldo Romani
Bedřich Roskovec
Xichao Ruan
Arseniy Rybnikov
Andrey Sadovsky
Paolo Saggese
Deshan Sandanayake
Anut Sangka
G. Sava
Utane Sawangwit
Giuseppe Sava
Michaela Schever
Cédric Schwab
Konstantin Schweizer
Alexandr Selyunin
Andrea Serafini
M. Settimo
Junyu Shao
Mariangela Settimo
V. Sharov
Hexi Shi
Vladislav Sharov
Jingyan Shi
Yanan Shi
Vitaly Shutov
Andrey Sidorenkov
Fedor Šimkovic
Apeksha Singhal
Chiara Sirignano
Jaruchit Siripak
Monica Sisti
Mikhail Smirnov
Oleg Smirnov
Sergey Sokolov
Julanan Songwadhana
Boonrucksar Soonthornthum
Albert Sotnikov
Warintorn Sreethawong
Achim Stahl
Luca Stanco
Konstantin Stankevich
Hans Steiger
Jochen Steinmann
Tobias Sterr
M. Stock
Virginia Strati
Matthias Raphael Stock
Michail Strizh
Alexander Studenikin
Aoqi Su
Jun Su
G. X. Sun
Shifeng Sun
Xilei Sun
Yongjie Sun
Guangbao Sun
Yongzhao Sun
Zhengyang Sun
Narumon Suwonjandee
Akira Takenaka
Xiaohan Tan
Jian Tang
Jing-Yu Tang
Qiang Tang
Quan Tang
Jingzhe Tang
Xiao Tang
Vidhya Thara Hariharan
Igor Tkachev
Tomas Tmej
M. Torri
Andrea Triossi
Wladyslaw Trzaska
Marco Danilo Claudio Torri
Y. Tung
Cristina Tuve
Nikita Ushakov
Vadim Vedin
Yu-Chen Tung
Carlo Venettacci
Giuseppe Verde
Maxim Vialkov
Benoit Viaud
Cornelius Moritz Vollbrecht
Katharina von Sturm
Vit Vorobel
Dmitriy Voronin
Lucia Votano
Pablo Walker
Caishen Wang
Chung-Hsiang Wang
En Wang
Guoli Wang
Y. H. Wang
Jian Wang
Jun Wang
Li Wang
Lucinda W. Wang
Meng Wang
Mingyuan Wang
Qianchuan Wang
Lu Wang
Ruiguang Wang
Sibo Wang
Siguang Wang
Wei Wang
Wenshuai Wang
Xi Wang
Xiangyue Wang
Yangfu Wang
Yaoguang Wang
Yifang Wang
Yuanqing Wang
Yuyi Wang
Zhe Wang
Zheng Wang
Zhimin Wang
Apimook Watcharangkool
Wei Wei
Wenlu Wei
Yadong Wei
Yuehuan Wei
Liangjian Wen
Jun Weng
Christopher Wiebusch
Rosmarie Wirth
Chengxin Wu
Diru Wu
Qun Wu
Yinhui Wu
Yiyang Wu
Zhi Wu
Michael Wurm
Jacques Wurtz
Christian Wysotzki
Yufei Xi
Dongmei Xia
Shishen Xian
Ziqian Xiang
Fei Xiao
Xiang Xiao
Xiaochuan Xie
Yijun Xie
Yuguang Xie
Zhao Xin
Zhizhong Xing
Benda Xu
Cheng Xu
Donglian Xu
Fanrong Xu
Hangkun Xu
Jiayang Xu
Jilei Xu
Jing Xu
Jinghuan Xu
Meihang Xu
Xunjie Xu
Yin Xu
Yu Xu
Baojun Yan
Qiyu Yan
Taylor Yan
Xiongbo Yan
Yupeng Yan
Changgen Yang
Chengfeng Yang
Fengfan Yang
Jie Yang
Lei Yang
Pengfei Yang
Xiaoyu Yang
Yifan Yang
Yixiang Yang
Zekun Yang
Haifeng Yao
Jiaxuan Ye
Mei Ye
Ziping Ye
Frédéric Yermia
Zhengyun You
Boxiang Yu
Chiye Yu
Chunxu Yu
Guojun Yu
Hongzhao Yu
Miao Yu
Xianghui Yu
Zeyuan Yu
Zezhong Yu
Cenxi Yuan
Chengzhuo Yuan
Zhenxiong Yuan
Baobiao Yue
Noman Zafar
Kirill Zamogilnyi
Vitalii Zavadskyi
Fanrui Zeng
Shan Zeng
Tingxuan Zeng
Yuda Zeng
Liang Zhan
Aiqiang Zhang
Bin Zhang
Binting Zhang
Feiyang Zhang
Hangchang Zhang
Haosen Zhang
Honghao Zhang
Jiawen Zhang
Jie Zhang
Jingbo Zhang
Jinnan Zhang
Junwei Zhang
Lei Zhang
Peng Zhang
Ping Zhang
Qingmin Zhang
Shiqi Zhang
Shu Zhang
Shuihan Zhang
Siyuan Zhang
Tao Zhang
Xiaomei Zhang
Xin Zhang
Xuantong Zhang
Yibing Zhang
Yinhong Zhang
Yiyu Zhang
Yongpeng Zhang
Yu Zhang
Yumei Zhang
Zhenyu Zhang
Zhijian Zhang
Jie Zhao
Rong Zhao
Runze Zhao
Shujun Zhao
Tianhao Zhao
Hua Zheng
Yangheng Zheng
Jing Zhou
Li Zhou
Nan Zhou
Shun Zhou
Tong Zhou
Xiang Zhou
Xing Zhou
Jingsen Zhu
Kangfu Zhu
Kejun Zhu
Zhihang Zhu
Bo Zhuang
Honglin Zhuang
Liang Zong
Jiaheng Zou
2025-01-04
The European Physical Journal C (publié)
doi.org
arxiv.org
A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets
Da Zhi
Ladan Shahshahani
Caroline Nettekoven
Ana Lúısa Pinho
Danilo Bzdok
Jörn Diedrichsen
2025-01-02
Imaging Neuroscience (publié)
doi.org
Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models
Pablo Pernias
Dominic Rampas
Mats L. Richter
Chris Pal
Marc Aubreville
2025-01-01
Bildverarbeitung für die Medizin (publié)
doi.org
Access Inequality in LEO Satellite Networks: A Case Study of High-Latitude Coverage in Northern Québec
Mohammed Almekhlafi
Antoine Lesage-Landry
Gunes Karabulut Kurt
Low Earth orbit (LEO) satellite networks play a crucial role in bridging the digital divide, particularly in remote and high-latitude region… (voir plus)s. However, access inequality remains a significant challenge, limiting broadband connectivity for communities in northern areas compared to mid-latitude urban regions. This study reviews recent advancements in non-terrestrial networks (NTNs). We conduct a detailed analysis of coverage disparities in LEO satellite networks considering LEO networks, namely Starlink, Telesat-like, Kuiper-like, and OneWeb, with a specific focus on Québec, Canada versus urban centers in New York City, USA. Our findings highlight a significant disparity in the number of visible satellites resulting in increased transmission delays and reduced network reliability in high-latitude regions. Additionally, we observe that higher elevation angles, more accessible in mid-latitude regions especially for Starlink and Kuiper, contribute to superior signal quality and transmission rates. To mitigate this gap, we propose an inter-constellation/orbit roaming mechanism that enables ground users to be served by different LEO constellations—leveraging OneWeb's and Telesat's strong polar coverage along with the high satellite density of Starlink and Kuiper at mid-latitudes. Jointly, terrestrial network (TN) expansion can enhance signal quality and transmission efficiency, particularly in underserved areas where NTNs act as edge computing and backhaul infrastructures. Additionally, the associated challenges—such as roaming handovers, and radio resource and network slicing management are discussed in detail, where designing a unified management and control entity to ensure seamless interoperability is not a trivial task. Furthermore, we envision wireless power transfer through either relay-based (ground-to-satellite-to-ground) or direct (satellite-to-ground) power beaming as a sustainable approach to energize TN components in remote regions. These strategies collectively support the scalability and resilience of NTNs in bridging the global access inequality.
2025-01-01
IEEE Open Journal of Vehicular Technology (publié)
doi.org
Advocacy for Children With Surgical Diseases in Nigeria: National Policy Status, Gaps, and Solutions
Justina O. Seyi-Olajide
Ayla Gerk
Elena Guadagno
Adesoji Ademuyiwa
Emmanuel A. Ameh
Dan Poenaru
2025-01-01
Journal of Pediatric Surgery (publié)
doi.org
Anti-patterns and Code Smells for Multi-language Systems
Mouna Abidi
Manel Grichi
Foutse Khomh
Yann‐Gaël Guéhéneuc
2025-01-01
Transactions on Pattern Languages of Programming (publié)
doi.org
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Yunzhen Feng
Elvis Dohmatob
Pu Yang
Francois Charton
Julia Kempe
Large Language Models (LLM) are increasingly trained on data generated by other LLM, either because generated text and images become part of… (voir plus) the pre-training corpus, or because synthetized data is used as a replacement for expensive human-annotation. This raises concerns about \emph{model collapse}, a drop in model performance when their training sets include generated data. Considering that it is easier for both humans and machines to tell between good and bad examples than to generate high-quality samples, we investigate the use of verification on synthesized data to prevent model collapse. We provide a theoretical characterization using Gaussian mixtures, linear classifiers, and linear verifiers to derive conditions with measurable proxies to assess whether the verifier can effectively select synthesized data that leads to optimal performance. We experiment with two practical tasks -- computing matrix eigenvalues with transformers and news summarization with LLMs -- which both exhibit model collapse when trained on generated data, and show that verifiers, even imperfect ones, can indeed be harnessed to prevent model collapse and that our proposed proxy measure strongly correlates with performance.
2025-01-01
ICLR (publié)
doi.org
arxiv.org
Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study
René Labounek
Monica T. Bondy
Amy L. Paulson
Sandrine Bédard
Mihael Abramovic
Eva Alonso‐Ortiz
Nicole Atcheson
Laura R. Barlow
Robert L. Barry
Markus Barth
Marco Battiston
Christian Büchel
Matthew D. Budde
Virginie Callot
Anna Combes
Benjamin De Leener
Maxime Descoteaux
Paulo Loureiro de Sousa
Marek Dostál
Julien Doyon … (voir 74 de plus)
Adam Dvorak
Falk Eippert
Karla R. Epperson
Kevin S. Epperson
Patrick Freund
Jürgen Finsterbusch
Alexandru Foias
Michela Fratini
Issei Fukunaga
Claudia A. M. Gandini Wheeler-Kingshott
Giancarlo Germani
Guillaume Gilbert
Federico Giove
Francesco Grussu
Akifumi Hagiwara
Pierre-Gilles Henry
Tomáš Horák
Masaaki Hori
James Joers
Kouhei Kamiya
Haleh Karbasforoushan
Miloš Keřkovský
Ali Khatibi
Joo-won Kim
Nawal Kinany
Hagen H. Kitzler
Shannon Kolind
Yazhuo Kong
Petr Kudlička
Paul Kuntke
Nyoman D. Kurniawan
Slawomir Kusmia
Maria Marcella Lagana
Cornelia Laule
Christine S. W. Law
Csw Law
Tobias Leutritz
Yaou Liu
Sara Llufriu
Sean Mackey
Allan R. Martin
Eloy Martinez-Heras
Loan Mattera
Kristin P. O’Grady
Nico Papinutto
Daniel Papp
Deborah Pareto
Todd B. Parrish
Anna Pichiecchio
Ferran Prados
Àlex Rovira
Marc J. Ruitenberg
Rebecca S. Samson
Giovanni Savini
Maryam Seif
Alan C. Seifert
Alex K. Smith
Seth Aaron Smith
Zachary A. Smith
Elisabeth Solana
Yuichi Suzuki
George Tackley
Alexandra Tinnermann
Jan Valošek
Dimitri Van De Ville
Marios C. Yiannakas
Kenneth A. Weber
Nikolaus Weiskopf
Richard G. Wise
Patrik O. Wyss
Junqian Xu
Julien Cohen-Adad
Christophe Lenglet
Igor Nestrašil
2025-01-01
Imaging Neuroscience (publié)
doi.org
Changer le regard des étudiants sur les métiers de la comptabilité : Les effets de la simulation de gestion
Guillaume Dumas
Yann QUÉMÉNER
La comptabilité véhicule souvent injustement, une image terne et ennuyeuse, auprès du grand public et des jeunes étudiants choisissant l… (voir plus)eur orientation. Dans cet article, nous questionnons l’effet de pratiques pédagogiques sur la perception par les étudiants, des soft skills attendues par les employeurs. Pour cela nous réalisons une quasi-expérimentation dans laquelle nous comparons les perceptions des étudiants selon que le cours ait été animé sous un format classique (application des connaissances par le biais d’exercices avec corrigé par l’enseignant) ou sous la forme d’une simulation de gestion (application des connaissances en vue de prendre des décisions et piloter une entreprise fictive). Les résultats de la recherche montrent qu’une simulation de gestion, plus que les travaux dirigés classiques, permettent aux primo-apprenants en comptabilité, d’avoir une meilleure perception des soft skills attendues par les praticiens et les recruteurs. Nos résultats rappellent l’importance de donner une représentation réaliste (éloignée des clichés) de la profession, afin de rendre les filières d’enseignement de la comptabilité plus attractives.
2025-01-01
Finance Contrôle Stratégie (publié)
doi.org