Enhancing Touch Circular Knob with Haptic Feedback when Performing Another Saturating Attention Primary Task

International audienceTouch knobs usually require visual attention when performing a targeting task. This can draw the user's visual focus to the device, which is not desirable if the visual attention is needed elsewhere. In this work, we investigated the use of haptic feedback for touch knobs when performing another primary task that saturates the attention. In an experiment, we compare three potential tactile feedback designs to a no-feedback variant for a circular targeting task, while performing an attention saturating primary task. Our findings indicate that two investigated designs, namely, \textit{gradual+hapticObject} and \textit{adaptive+hapticObject}, providing the user with both haptic feedback on the objects and continuous haptic feedback through the trajectory, can serve as a reliable and effective mechanism for increasing the speed and reducing the mental demand for the secondary task while reducing visual distraction for the primary task

The Colibactin-Producing Escherichia coli alters the tumor microenvironmentto immunosuppressive lipid overload facilitating colorectal cancer progressionand chemoresistance.

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Strong consistency rate in functional single index expectile model for spatial data

International audienceAnalyzing the real impact of spatial dependency in financial time series data is crucial to financial risk management. It has been a challenging issue in the last decade. This is because most financial transactions are performed via the internet and the spatial dependency between different international stock markets is not standard. The present paper investigates functional expectile regression as a spatial financial risk model. Specifically, we construct a nonparametric estimator of this functional model for the functional single index regression (FSIR) structure. The asymptotic properties of this estimator are elaborated over general spatial settings. More precisely, we establish Borel-Cantelli consistency (BCC) of the constructed estimator. The latter is obtained with the precision of the convergence rate. A simulation investigation is performed to show the easy applicability of the constructed estimator in practice. Finally, real data analysis about the financial data (Euro Stoxx-50 index data) is used to illustrate the effectiveness of our methodology

2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition

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18F]FDG PET/CT for predicting triple-negative breast cancer outcomes after neoadjuvant chemotherapy with or without pembrolizuma

International audiencePurpose: To determine if pretreatment [18F]FDG PET/CT could contribute to predicting complete pathological complete response (pCR) in patients with early-stage triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy with or without pembrolizumab. Methods: In this retrospective bicentric study, we included TNBC patients who underwent [18F]FDG PET/CT before neoadjuvant chemotherapy (NAC) or chemo-immunotherapy (NACI) between March 2017 and August 2022. Clinical, biological, and pathological data were collected. Tumor SUVmax and total metabolic tumor volume (TMTV) were measured from the PET images. Cut-off values were determined using ROC curves and a multivariable model was developed using logistic regression to predict pCR. Results: N = 191 patients were included. pCR rates were 53 and 70% in patients treated with NAC (N = 91) and NACI (N = 100), respectively (p 12.3), and low TMTV (≤ 3.0 cm3) were predictors of pCR in the NAC cohort while tumor staging classification ( 17.2), and low TMTV (≤ 7.3 cm3) correlated with pCR in the NACI cohort. In multivariable analysis, only high tumor SUVmax (NAC: OR 8.8, p < 0.01; NACI: OR 3.7, p = 0.02) and low TMTV (NAC: OR 6.6, p < 0.01; NACI: OR 3.5, p = 0.03) were independent factors for pCR in both cohorts, albeit at different thresholds. Conclusion: High tumor metabolism (SUVmax) and low tumor burden (TMTV) could predict pCR after NAC regardless of the addition of pembrolizumab. Further studies are warranted to validate such findings and determine how these biomarkers could be used to guide neoadjuvant therapy in TNBC patients

Les cahiers de la SFSIC -18- EDITO

International audienceLe présent numéro, loin d’échapper au questionnement des grands enjeux et efets du numérique, met l’accent sur denouvelles recherches ou projets pédagogiques menés par des collègues dans le champ des sciences de l’information et de la communication. Il se structure en 4 grands volets : Questions de recherches,Formation, Mondes professionnels, Carte blanche aux doctorant

BioacPepFinder: Novel Bioinformatics Tool for the Discovery of Bioactive Peptides from Protein Digestion.

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Voting-based Methods for Evaluating Sources and Facts Reliability

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Éduquer à l'alimentation à l'école : une entreprise incertaine

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Acidic Growth Conditions Promote Epithelial-to-Mesenchymal Transition to Select More Aggressive PDAC Cell Phenotypes In Vitro

International audiencePancreatic Ductal Adenocarcinoma (PDAC) is characterized by an acidic microenvironment, which contributes to therapeutic failure. So far there is a lack of knowledge with respect to the role of the acidic microenvironment in the invasive process. This work aimed to study the phenotypic and genetic response of PDAC cells to acidic stress along the different stages of selection. To this end, we subjected the cells to short- and long-term acidic pressure and recovery to pHe 7.4. This treatment aimed at mimicking PDAC edges and consequent cancer cell escape from the tumor. The impact of acidosis was assessed for cell morphology, proliferation, adhesion, migration, invasion, and epithelial–mesenchymal transition (EMT) via functional in vitro assays and RNA sequencing. Our results indicate that short acidic treatment limits growth, adhesion, invasion, and viability of PDAC cells. As the acid treatment progresses, it selects cancer cells with enhanced migration and invasion abilities induced by EMT, potentiating their metastatic potential when re-exposed to pHe 7.4. The RNA-seq analysis of PANC-1 cells exposed to short-term acidosis and pHe-selected recovered to pHe 7.4 revealed distinct transcriptome rewiring. We describe an enrichment of genes relevant to proliferation, migration, EMT, and invasion in acid-selected cells. Our work clearly demonstrates that upon acidosis stress, PDAC cells acquire more invasive cell phenotypes by promoting EMT and thus paving the way for more aggressive cell phenotypes