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Thyroid disease belongs to the endocrine system disease, which is relatively common in clinical practice, mainly including hyperthyroidism, thyroiditis, thyroid nodules, hypothyroidism and so on. Thyroid tumor is a relatively common clinical endocrine and head and neck tumor, among which the most common malignant tumor is differentiated thyroid cancer (differentiated thyroid carcinoma, DTC), with a high incidence rate, good prognosis, and common cervical lymph node metastasis or distant metastasis. This article mainly provides a simple overview of the concept of systemic immune inflammation index, and makes an indepth analysis of the relationship between inflammation and disease pathogenesis and systemic immune inflammation index and thyroid disease, in order to provide a theoretical reference for clinical and related personnel.

Food safety has been a major concern in recent years as a result of numerous food safety events in many nations. This could increase the health risks associated with eating low-quality food, lowering customer confidence in food safety. It is critical to overcome this challenge and gain consumer trust in order to improve food quality and safety. To address this issue, we suggested an intelligent deep learning method for identifying which foods are potentially harmful to human health based on chemical and additive qualities, which could have a significant impact on consumer health. The findings of our survey show that deep learning surpasses other methods such as manual feature extractors, as well as the promising findings of categorization of hazardous food, further research efforts to apply deep learning to the field of food will be made in the future.

Food safety testing is of great significance for building a harmonious society. With the advent of the Internet era, the number of data indicators to be considered in food safety testing has gradually increased, and traditional food testing cannot adapt to the fast pace of today’s times. In order to meet the current challenges of food testing, this paper analyses the advantages of “Internet +” in building a food testing laboratory based on the challenges of food safety testing in the Internet era, and discusses the advantages of “Internet +” in the era of food testing. The paper discusses the intelligent working mode of food testing laboratories in the “Internet +” era, and combines big data technology to build an intelligent and comprehensive laboratory management platform, so as to build a new era of food testing intelligent laboratory, which improves the efficiency of food testing managers, reduces the workload, improves the accuracy of food safety testing, and helps the healthy development of the food industry.

The mass production of autonomous vehicle is coming, thanks to the rapid progress of autonomous driving technology, especially the recent breakthroughs in LiDAR sensors, GPUs, and deep learning. Many automotive and IT companies represented by Waymo and GM are constantly promoting their advanced autonomous vehicles to hit public roads as early as possible. This paper systematically reviews the latest development and future trend of the autonomous vehicle technologies, discusses the extensive application of AI in ICV, and identifies the key problems and core challenges facing the commercialization of autonomous vehicle. Based on the review, it forecasts the prospects and conditions of autonomous vehicle’s mass production and points out the arduous, long-term and systematic nature of its development.

Intelligent connected vehicles (ICV) are recognized as a great opportunity with huge social benefits by the global auto industry. Governments of various countries attach great importance to them, and traditional Original Equipment Manufacturer (OEM) and technology companies are also introducing them into consumers’ lives by virtue of various business models, thereby generating practical value. The business model plays a decisive role in determining whether a company can share the ICV market cake and its future position in the industry. More importantly, it will also determine how fast the ICVs can become reality from imagination. In this paper, the ICV industry ecosystem was sorted out, the business models of ICVs adopted by mainstream OEMs were analyzed, and five typical business models were summarized, i.e. platform model, self-transformation model, traditional Tier1 dependence model, alliance model, and outsourcing model. On this basis, the SWOT analysis method was adopted to systematically analyze the internal and external advantages and disadvantages of the five business models, and forward insights on enterprises’ developing and maintaining the competitive advantages in the ICV industry were proposed from five perspectives of technology, market timing, customer experience, brand, and data.

Autonomous driving is recognized as a global development direction and a major opportunity. The function and use of the vehicle has changed profoundly. The vehicle is gradually transformed from a simple transportation tool to a smart mobile space. The ultimate goal of autonomous driving is to achieve driverless driving. In the course of its development, man-control will gradually turn into to system-control. In other words, the transition from level 3 (L3) to level 4 (L4) is a fundamental leap. At present, the specific path to achieve this leap is not yet clear. Different companies have different and even opposite thinking and choices. In this study, the grading standard for autonomous driving was clearly explained, and the technical route selection of the company was analysed. Based on the analysis, the requirements of sensing, decision making, execution between the L3 and L4 were compared. Moreover, the key technical difficulties of L3 to L4 were clarified. In the end, suggestions on the commercialization of autonomous driving were given.

Résumé: Objectif: Utiliser l’imagerie par résonance magnétique (IRM, appareil à 1,5T) pour suivre des cellules souches mésenchymateuses extraites de la moelle osseuse autologue, marquées par des nanoparticules d’oxyde de fer superparamagnétique (SPIO), puis injectées dans le genou de lapins chez qui des pertes de substance cartilagineuse avaient été induites au préalable. Méthodes: Des cellules souches mésenchymateuses de lapin ont été marquées par des nanoparticules de SPIO grâce à un vecteur de transfection. La viabilité, la prolifération et la différentiation cellulaires ont été évaluées in vitro grâce à des examens appropriés, notamment un examen au microscope électronique après coloration au bleu de Prusse. Une IRM à écho de gradient et séquence pondérée en T2* (GRE-T2*) a été réalisée in vitro. Les cellules autologues ensemencées sur un gel de chitosane et de glycérophosphate ont été injectées dans le genou des lapins porteurs de lésions cartilagineuses. Une IRM GRE-T2* a été réalisée in vivo une, quatre, huit et 12 semaines après l’injection. Les résultats de l’IRM ont été comparés aux résultats histologiques. Résultats: In vitro, la viabilité, la prolifération et la différentiation cellulaires étaient comparables pour les cellules marquées et non marquées. Après l’injection intra-articulaire de cellules marquées, les images GRE-T2* ont mis en évidence, pendant 12 semaines au moins, des zones de vide de signal correspondant aux cellules injectées. Après 12 semaines, les cellules marquées ont migré dans le liquide synovial de la bourse sus-rotulienne, l’espace poplité et l’os sous-chondral fémoral. Elles n’ont pas été mises en évidence dans la perte de substance cartilagineuse. Les examens histochimiques ont confirmé la présence de cellules marquées par le bleu de Prusse et la bromodésoxyuridine. Conclusions: L’IRM serait une bonne technique non invasive pour visualiser les déplacements in vivo des cellules souches marquées au SPIO. Les cellules souches mésenchymateuses autologues marquées au SPIO et injectées dans la cavité articulaire ne jouent aucun rôle dans la réparation des pertes de substance cartilagineuses. [Copyright &y& Elsevier]