Risk management in design process for Factory of the future

International audienceThe current globalization is faced to the rapid development of product design process with the different structure of the actor relationships in the process. Currently, the risk in the failure relationship among different actors in the project is shaped by the complexity towards the future all kinds of challenges. When it comes to the interdependent failure effect, the risk management for future organization structure in design process will be much more complex to grasp. In order to cope with adaption of Product-Process-Organization (P-P-O) model for industry of the future, we propose a risk management methodology to cope with this interdependent relationship structure. The main objective of this research is to manage the risks, so that the project manager can find the priority order of all the actors' total effect to the project with the consideration of interdependent failure affection, and according to the order, project manager can release corresponding respond measures

EXPRESSION OF USP22 AND CPC IN ORAL CANCER

Oral cancer is a common cancer of the head and neck. Oral squamous cell carcinoma (OSCC) represents almost 90% of the total cases of head and neck cancer. Ubiquitin‑specific protease 22 (USP22) is a deubiquitinating hydrolase, and it is highly expressed in various types of cancer, which also typically have a poor prognosis. Aurora‑B and Survivin, which belong to the chromosomal passenger complex, are also highly expressed in a number of types of cancer. In the present study, USP22 expression and its associations with Aurora‑B and Survivin, and the clinicopathological features in OSCC were explored. USP22 is highly expressed in OSCC. Overexpression of USP22 is associated with lymph node metastasis and histological grade (P<0.01). Additionally, the expression of USP22 was positively associated with Aurora‑B (P<0.01), Survivin (P<0.01), and Ki‑67 (P<0.01). Furthermore, USP22 small interfering RNA inhibited cell growth and reduced the expression levels of Aurora‑B, Survivin and Cyclin B, together with the upregulation of cyclin‑dependent kinase inhibitor 1A (p21). These data suggest that USP22, Aurora‑B and Survivin promote the OSCC development and may represent novel targets for OSCC diagnosis and treatment in the future

Involvement of the OTUB1-YAP1 axis in driving malignant behaviors of head and neck squamous cell carcinoma

Background: Comprehending the molecular mechanisms underlying head and neck squamous cell carcinoma (HNSCC) is vital for the development of effective treatment strategies. Deubiquitinating enzymes (DUBs), which regulate ubiquitin-dependent pathways, are potential targets for cancer therapy because of their structural advantages. Here we aimed to identify a potential target for HNSCC treatment among DUBs. Methods: A screening process was conducted using RNA sequencing data and clinical information from HNSCC patients in the TCGA database. A panel of 88 DUBs was analyzed to identify those associated with poor prognosis. Subsequently, HNSCC cells were modified to overexpress specific DUBs, and their effects on cell proliferation and invasion were evaluated. In vivo experiments were performed to validate the findings. Results: In HNSCC patients, USP10, USP14, OTUB1, and STAMBP among the screened DUBs were associated with a poor prognosis. Among them, OTUB1 showed the most aggressive characteristics in both in vitro and in vivo experiments. Additionally, OTUB1 regulated the stability and nuclear localization of YAP1, a substrate involved in cell proliferation and invasion. Notably, OTUB1 expression exhibited a positive correlation with the HNSCC-YAP score in HNSCC cells. Conclusions: This study highlights the critical role of OTUB1 in HNSCC progression via modulating YAP1. Targeting the OTUB1-YAP1 axis holds promise as a potential therapeutic strategy for HNSCC treatment

Predicting progression of white matter hyperintensity using coronary artery calcium score based on coronary CT angiography—feasibility and accuracy

ObjectiveCoronary artery disease (CAD) usually coexists with subclinical cerebrovascular diseases given the systematic nature of atherosclerosis. In this study, our objective was to predict the progression of white matter hyperintensity (WMH) and find its risk factors in CAD patients using the coronary artery calcium (CAC) score. We also investigated the relationship between the CAC score and the WMH volume in different brain regions.MethodsWe evaluated 137 CAD patients with WMH who underwent coronary computed tomography angiography (CCTA) and two magnetic resonance imaging (MRI) scans from March 2018 to February 2023. Patients were categorized into progressive (n = 66) and nonprogressive groups (n = 71) by the change in WMH volume from the first to the second MRI. We collected demographic, clinical, and imaging data for analysis. Independent risk factors for WMH progression were identified using logistic regression. Three models predicting WMH progression were developed and assessed. Finally, patients were divided into groups based on their total CAC score (0 to &lt;100, 100 to 400, and &gt; 400) to compare their WMH changes in nine brain regions.ResultsAlcohol abuse, maximum pericoronary fat attenuation index (pFAI), CT-fractional flow reserve (CT-FFR), and CAC risk grade independently predicted WMH progression (p &lt; 0.05). The logistic regression model with all four variables performed best (training: AUC = 0.878, 95% CI: 0.790, 0.938; validation: AUC = 0.845, 95% CI: 0.734, 0.953). An increased CAC risk grade came with significantly higher WMH volume in the total brain, corpus callosum, and frontal, parietal and occipital lobes (p &lt; 0.05).ConclusionThis study demonstrated the application of the CCTA-derived CAC score to predict WMH progression in elderly people (≥60 years) with CAD

Designer Selection for Complex Engineering System Design Projects Considering the Disciplines Demanded

Currently, technological advances and developments are leading to the rapid emergence of high-end technology products, accompanied by a variety of customer requirements, which will lead to engineering system design projects becoming more complex. Therefore, complex engineering design projects require designers with multidisciplinary backgrounds who can work together and approach complex problems. However, when company supervisors assign designers with interdisciplinary knowledge to complex projects, the knowledge gap of each discipline between designers will cause communication conflicts, which directly affects the efficiency of team communication and complex project execution. Therefore, it is very important for the design company to select a portfolio of designers with efficient interdisciplinary background communication. Thus, the main objective of our research is to propose a method to support company supervisors and their approach to the design team selection problem for complex engineering system design projects with consideration of the project&rsquo;s required basic technical competence, personal competence, and multidisciplinary knowledge communication between the designers. The proposed method can help design firms to select the best multidisciplinary collaborative design team for complex engineering system design projects

Gestion du processus de conception : allocation des ressources humaines dans l'usine du futur

With the rapid development of internet of things and the internet driven global economy, the relationship among various designers from all over the world are getting closer, and the relationships among them in the project are shaped by many new challenges such as multiplication of data and information, mass customization, global collaboration, scarcity of resources, dynamic technology, etc. The engineering design depends on the efficiency of communication between actors in the design process. This leads to an increasingly complex of the human resource allocation and a more and more difficult risk management in design project. Many companies and institutes have developed their own human resource allocation and risk management method to the design process. However, these methodologies consider about the skills and expertise of the designer, but rarely think about the group interaction, experience working together ability and the personality analysis of the designer. Therefore, in this work, we propose human resource allocation which consider about the ideas above to effectively managing the design process.Avec le développement rapide de l'Internet des objets et de l'économie mondiale basée sur Internet, les relations entre les différents concepteurs du monde entier sont de plus en plus importantes et sont façonnées par de nombreux nouveaux défis, telles que la multiplication des données et des informations, la personnalisation de masse, la collaboration mondiale, la pénurie de ressources, une technologie dynamique, etc. La réussite du processus de conception dépend de l'efficacité de la communication entre les acteurs du processus de conception. Cela conduit à une allocation de plus en plus complexe des ressources humaines et à une gestion des risques de plus en plus difficile dans les projets de conception. De nombreuses entreprises et instituts ont mis au point leur propre méthode d’allocation des ressources humaines et de gestion des risques pour le processus de conception. Cependant, ces méthodologies prennent en compte les compétences et l'expertise du concepteur, mais ne pensent que rarement à l'interaction de groupe, à l'expérience de collaboration et à l'analyse de la personnalité du concepteur. Par conséquent, dans ce travail, nous proposons une allocation de ressources humaines prenant en compte les idées ci-dessus pour gérer efficacement le processus de conception

Management of the designe process : human resource allocation in factory of the future

Avec le développement rapide de l'Internet des objets et de l'économie mondiale basée sur Internet, les relations entre les différents concepteurs du monde entier sont de plus en plus importantes et sont façonnées par de nombreux nouveaux défis, telles que la multiplication des données et des informations, la personnalisation de masse, la collaboration mondiale, la pénurie de ressources, une technologie dynamique, etc. La réussite du processus de conception dépend de l'efficacité de la communication entre les acteurs du processus de conception. Cela conduit à une allocation de plus en plus complexe des ressources humaines et à une gestion des risques de plus en plus difficile dans les projets de conception. De nombreuses entreprises et instituts ont mis au point leur propre méthode d’allocation des ressources humaines et de gestion des risques pour le processus de conception. Cependant, ces méthodologies prennent en compte les compétences et l'expertise du concepteur, mais ne pensent que rarement à l'interaction de groupe, à l'expérience de collaboration et à l'analyse de la personnalité du concepteur. Par conséquent, dans ce travail, nous proposons une allocation de ressources humaines prenant en compte les idées ci-dessus pour gérer efficacement le processus de conception.With the rapid development of internet of things and the internet driven global economy, the relationship among various designers from all over the world are getting closer, and the relationships among them in the project are shaped by many new challenges such as multiplication of data and information, mass customization, global collaboration, scarcity of resources, dynamic technology, etc. The engineering design depends on the efficiency of communication between actors in the design process. This leads to an increasingly complex of the human resource allocation and a more and more difficult risk management in design project. Many companies and institutes have developed their own human resource allocation and risk management method to the design process. However, these methodologies consider about the skills and expertise of the designer, but rarely think about the group interaction, experience working together ability and the personality analysis of the designer. Therefore, in this work, we propose human resource allocation which consider about the ideas above to effectively managing the design process