Diabetic patients usually take insulin bolus right before eat-ing a meal. A wrong dosage of insulin may lead to a hypoglycemia. Be-ing able to anticipate such insulin-induced, postprandial hypoglycemias would enable warning of the patients about the risk associated with the quantity of insulin they are planning to take. In this work, we explore the feasibility of predicting these postprandial hypoglycemias by using information available at pre-meal time, such as glucose levels, planned insulin intakes and carbohydrates estimations. First, an experiment has been done on a dataset acquired on real patients, for which several classes of machine learning algorithms have been tried. The obtained results do not offer predictions that are useful enough to consider any usage in real-life applications. These kinds of datasets — acquired on real patients — suffer heavily from missing data and incorrect carbohydrates estimations though. In order to analyse the impact of these flaws on the obtained results, the same experiment has been run on a simulated dataset. Re-sults support that even with the simulated dataset, which does not have missing data and which has precise carbohydrates intake, these features alone are not able to predict postprandial hypoglycemia. Therefore, im-proving the quality of patients annotations is not enough to solve the problem, and using these features without further features engineering does not offer good results.
This paper provides an overview of the Joint Contest on Multimedia Challenges Beyond Visual Analysis. We organized an academic competition that focused on four problems that require effective processing of multimodal information in order to be solved. Two tracks were devoted to gesture spotting and recognition from RGB-D video, two fundamental problems for human computer interaction. Another track was devoted to a second round of the first impressions challenge of which the goal was to develop methods to recognize personality traits from short video clips. For this second round we adopted a novel collaborative-competitive (i.e., coopetition) setting. The fourth track was dedicated to the problem of video recommendation for improving user experience. The challenge was open for about 45 days, and received outstanding participation: almost 200 participants registered to the contest, and 20 teams sent predictions in the final stage. The main goals of the challenge were fulfilled: the state of the art was advanced considerably in the four tracks, with novel solutions to the proposed problems (mostly relying on deep learning). However, further research is still required. The data of the four tracks will be available to allow researchers to keep making progress in the four tracks.
D’après l’OCDE (2009), la plupart des entreprises créées en Afrique sont des SARL (ou assimilées) et la plupart des emplois provient de cette catégorie d’entreprises. Conscientes des enjeux de l’entrepreneuriat collectif, les autorités de la plupart des pays d ’ Afrique de l ’ Ouest et Centrale se sont engagées à créer un environnement politique, institutionnel, juridique et réglementaire propice au développement de cette forme d’entrepreneuriat. Toutefois, en dépit de leur nombre et importance économique, les créations d’entreprise en équipe ne font l’objet que de peu d’études scientifiques, surtout dans les pays émergents. L’objet de cet article est d’analyser au travers de la littérature l’effet de la diversité de l’équipe entrepreneuriale et des conflits entre ses membres sur la performance de l’entreprise nouvellement créée en Afrique. Généralement la diversité du genre, des compétences et d’expériences influencent positivement la performance de ces entreprises. Mais les conflits affectifs influe nce nt négativement cette relation.
Cet article analyse les liens entre la gouvernance, la RSE et la performance financière au travers d’une approche structurelle fondée sur une approche PLS-PM pour un échantillon de 600 firmes américaines et européennes. Nos résultats montrent tout d’abord que la gouvernance et certaines variables financières sont des antécédents de la RSE. Le déterminant principal de la RSE est donc la gouvernance sous certaines contraintes financières. Ensuite, nous prouvons que les pratiques de RSE augmentent la performance financière des firmes, avec un impact plus fort pour la performance comptable et différencié suivant les trois composantes de la RSE. Enfin, nous identifions un double impact, direct et indirect (via la RSE), de la gouvernance sur la performance financière, alors que la littérature s’est contentée de mettre en évidence uniquement le lien direct entre ces deux facteurs.
Although corporate philanthropy is often viewed as a vehicle for fostering employee commitment, research suggests that it does not always accomplish this goal. Drawing on theories on prosocial sensemaking and on social identity theory, I propose that involving employees in corporate philanthropy encourages more benevolent attributions for philanthropy, thereby promoting higher attitu-dinal and behavioral commitment. In Study 1, a fi eld study with employees and supervisors in a chemical-pharmaceutical fi rm, employee involvement in corpo-rate philanthropy predicted higher attitudinal and behavioral commitment to the fi rm. In Study 2, a laboratory experiment, participants reported higher attitudinal and behavioral commitment to a company when it was described as involving employees in philanthropy. In both studies, benevolent attributions mediated the associations of employee involvement in philanthropy with both attitudinal and behavioral commitment. My research provides new insights for understand-ing the impact of corporate philanthropy on a particularly important group of stakeholders—employees—and shows how employee involvement may encour-age insiders to act to improve the organization’s external image.
This paper applies a social capital perspective to study how business units leverage individuals’ external networks to explore and exploit resources outside the firm’s boundaries. We explore this matter inductively by analysing the development and leveraging of social capital at the business unit level in a global commodity company. Our findings show how individuals’ strong and weak network ties support business unit ambidexterity. We also explore the characteristics of the supportive organisational context that allows firms to reap the benefits of their employees’ external social relationships. This study deepens our understanding of exploration and exploitation at both the individual and business unit levels and contributes to research on contextual ambidexterity.
The purpose of this research was to explore self-directed learning (SDL) in the context of online learning. The experiences of traditional and nontraditional learners engaged in an online course as part of a degree-seeking program are explored in terms of readiness for SDL and the processes of planning, monitoring, and evaluating one’s own learning in the online context. The findings present small nuances in how different learners describe SDL in the online context related to how the different students perceive their learning in an online course. Traditional learners discuss the impact of the flexible nature of online learning as it relates to the process of SDL while nontraditional learners focus more on the learning process itself. Areas for future study in the area of SDL in online learning are shared to highlight the importance of exploring adult learning theory in the online context from both learner and educator perspectives.
Purpose This paper aims to identify a wide array of utility-based attributes of Airbnb listings and measures the effects of these attributes on consumers’ valuation of Airbnb listings. Design/methodology/approach A hedonic price model was developed to test the effects of a group of utility-based attributes on the price of Airbnb listings, including the characteristics of Airbnb listings, attributes of hosts, reputation of listings and market competition. The authors examined attributes as they relate to the price of Airbnb listings and, therefore, estimated consumers’ willingness to pay for the specific attributes. The model was tested by using a dataset of 5,779 Airbnb listings managed by 4,602 hosts in 41 census tracts of Austin, Texas in the USA over a period from Airbnb’s launch in Texas up until November 2015. Findings The authors found that the functional characteristics of Airbnb listings were significantly associated to the price of the listings, and that three of five behavioral attributes of hosts were statistically significant. However, the effect of reputation of listings on the price of Airbnb listings was weak. Originality/value This study inspires what they call a factor-endowment valuation of Airbnb listings. It shows that the intrinsic attributes that an Airbnb listing endows are the primary source of consumer utilities, and thus consumer valuation of the listing is grounded on its functionality as an accommodation. This conclusion can shed light on the examination of competition between Airbnb and hotel accommodations that are built on the same or similar intrinsic attributes.
This article presents the results obtained by a qualitative study aiming at assessing the impact of innovative technologies on rote learning. The study involved students attending courses at Bachelor level. We compared the memorization of data provided on hard paper copies with data displayed on the smartwatch. We developed an application on the Apple Watch generating data batches. The participants involved in the study were asked to memorize data displayed on the smartwatch and that provided on hard paper copies, then we compared the recall rate of both formats. In addition to the figures obtained, we also mention the participants’ impressions on their learning appreciation for both devices. Finally, this article connects with the state-of-the art research concerning the comparison between digital and hard paper devices. Lastly, this article hints at future possible research leads.
