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For the next coming years, metaverse, digital twin and autonomous vehicle applications are the leading technologies for many complex applications hitherto inaccessible such as health and life sciences, smart home, smart agriculture, smart city, smart car and logistics, Industry 4.0, entertainment (video game) and social media applications, due to recent tremendous developments in process modeling, supercomputing, cloud data analytics (deep learning, etc.), communication network and AIoT/IIoT/IoT technologies. AIoT/IIoT/IoT is a crucial research field because it provides the essential data to fuel metaverse, digital twin, real-time Industry 4.0 and autonomous vehicle applications. However, the science of AIoT is inherently multidisciplinary, and therefore, it is difficult for readers to understand its evolution and impacts. Our main contribution in this article is to analyze and highlight the trends and challenges of the AIoT technology ecosystem including core hardware (MCU, MEMS/NEMS sensors and wireless access medium), core software (operating system and protocol communication stack) and middleware (deep learning on a microcontroller: TinyML). Two low-powered AI technologies emerge: TinyML and neuromorphic computing, but only one AIoT/IIoT/IoT device implementation using TinyML dedicated to strawberry disease detection as a case study. So far, despite the very rapid progress of AIoT/IIoT/IoT technologies, several challenges remain to be overcome such as safety, security, latency, interoperability and reliability of sensor data, which are essential characteristics to meet the requirements of metaverse, digital twin, autonomous vehicle and Industry 4.0. applications.

Background Peritendinous adhesion is among the common complications after tendon injury. Numerous studies have been carried out to prevent its formation, including modifications of surgical procedures, postoperative cares, application of medicines, etc. This study dynamically monitored fluctuations of inflammation, state of oxidative stress, and histopathologic changes around injured tendon to provide theoretical basis for further exploration in mechanisms of peritendinous adhesion formation. Methods Eighteen mature Sprague-Dawley male rats were randomly allocated into 6 equal groups. Compared with control and sham group, every rat’s right hind Achilles tendon in experimental groups was cut and repaired by the modified Kessler technique. Besides control and sham group, samples of tendon margin and serum were collected at different time points after the surgery. Content of TNF-α, IL-1β, and TGF-β were assayed in harvested serum. Reactive oxygen species (ROS) were detected, expression levels of related genes (IL-1β, IL-6, SOD1, SOD2, COL1, HIF1A) were quantified by qPCR, and various histopathological evaluations were performed. Results Indicators (TNF-α, IL-1β, TGF-β1, ROS) were noticed to have a similar trend of significant rising 24 h after the surgery except TGF-β which was rising 72 h later. So were the expression trends of IL-1β, IL-6, SOD1, SOD2, and COL1. HIF1A, inversely correlated with SOD2, showed the progressive relief of regional tissue hypoxia. Histological evaluation showed the same tendency that fibrosis and inflammation were getting serious 48 h later after the surgery. Conclusions Inflammation, oxidative stress in injured tendon resulted from acute trauma, would be getting intense in 24 h. Peritendinous adhesion emerges and aggravates after 48 h. Thus, prompt efficient measures are advised to be taken after the injury as soon as possible.

Background This study aimed to investigate the mechanism of miR-29a-3p in regulating endometrial cancer (EC) progression. Methods A total of 72 EC patients were enrolled. EC cells were transfected. Cells proliferation, cloning ability, migration and invasion were researched by MTT assay, colony formation experiment, cell scratch test and Transwell experiment respectively. Dual-luciferase reporter assay was performed. Xenograft experiment was conducted using nude mice. miR-29a-3p, VEGFA, CDC42, PAK1 and p-PAK1 expression in cells/tissues was investigated by qRT-PCR and Western blot. Results miR-29a-3p expression was aberrantly reduced in EC patients, which was associated with poor outcome. miR-29a-3p inhibited EC cells proliferation, cloning formation, migration and invasion ( P  <  0.05 or P  <  0.01 or P  <  0.001). miR-29a-3p inhibited CDC42/PAK1 signaling pathway activity in EC cells ( P  <  0.01). VEGFA expression was directly inhibited by miR-29a-3p. miR-29a-3p suppressed EC cells malignant phenotype in vitro and growth in vivo by targeting VEGFA/CDC42/PAK1 signaling pathway ( P  < 0.05 or P  < 0.01). Conclusion miR-29a-3p inhibits EC cells proliferation, migration and invasion by targeting VEGFA/CDC42/PAK1 signaling pathway.

The technology options for sustainable development are explored with customer low-carbon preference in a port supply chain consisting of one ship and one port. Port supply chains can opt for either shower power or low-sulfur fuel oil to cut down emissions. We set game models considering three power structures: the port dominant (port-led Stackelberg game), the ship dominant (ship-led Stackelberg game), and the port and ship on the same footing (Nash game). We compare the performances of different technologies. It is shown that, when customer low-carbon preference and carbon tax are both low, LSFO is the appropriate choice from the supply chain’s profit perspective, SP is preferred from the emission control perspective, and LSFO is preferred from the social welfare perspective. However, when customers’ low-carbon preferences, carbon tax, and environmental concerns are all low or all high, LSFO should be adopted from the view of social welfare. The profits and carbon emissions of the supply chain in the Nash game are higher than those in the Stackelberg game. While the environmental concern is low, the social welfare of the supply chain in the Nash game is greater than that in the Stackelberg game. Otherwise, it is less than that in the Stackelberg game. The obtained results can help governments formulate policies and ships make emission reduction technology decisions according to their own interests.

As the demand for health grows, the increase in medical waste generation is gradually outstripping the load. In this paper, we propose a deep learning approach for identification and classification of medical waste. Deep learning is currently the most popular technique in image classification, but its need for large amounts of data limits its usage. In this scenario, we propose a deep learning-based classification method, in which ResNeXt is a suitable deep neural network for practical implementation, followed by transfer learning methods to improve classification results. We pay special attention to the problem of medical waste classification, which needs to be solved urgently in the current environmental protection context. We applied the technique to 3480 images and succeeded in correctly identifying 8 kinds of medical waste with an accuracy of 97.2%; the average F1-score of five-fold cross-validation was 97.2%. This study provided a deep learning-based method for automatic detection and classification of 8 kinds of medical waste with high accuracy and average precision. We believe that the power of artificial intelligence could be harnessed in products that would facilitate medical waste classification and could become widely available throughout China.

In our study, we investigate reinsurance issues and optimal investment related to derivatives trading for a mean-variance insurer, employing game theory. Our primary objective is to identify strategies that are time-consistent. In particular, the insurer has the flexibility to purchase insurance in proportion to its needs, explore new business, and engage in capital market investments. This is under the assumption that insurance companies’surplus capital adheres to the classical Cramér-Lundberg model. The capital market is made up of risk-free bonds, equities, and derivatives, with pricing dependent on the underlying stock’s basic price and volatility. To obtain the most profitable expressions and functions for the associated investment strategies and time guarantees, we solve a system of expanded Hamilton–Jacobi–Bellman equations. In addition, we delve into scenarios involving optimal investment and reinsurance issues with no derivatives trading. In the end, we present a few numerical instances to display our findings, demonstrating that the efficient frontier in the case of derivative trading surpasses that in scenarios where derivative trading is absent.

Malignant peripheral nerve sheath tumor (MPNST) is an aggressive soft tissue sarcoma with limited therapeutic options and a poor prognosis. Although neurofibromatosis type 1 (NF1) and radiation exposure have been identified as risk factors for MPNST, the genetic and molecular mechanisms underlying MPNST pathogenesis have only lately been roughly elucidated. Plexiform neurofibroma (PN) and atypical neurofibromatous neoplasm of unknown biological potential (ANNUBP) are novel concepts of MPNST precancerous lesions, which revealed sequential mutations in MPNST development. This review summarized the current understanding of MPNST and the latest consensus from its diagnosis to treatment, with highlights on molecular biomarkers and targeted therapies. Additionally, we discussed the current challenges and prospects for MPNST management.

Background Postoperative nausea and vomiting (PONV) is one of the most frequent complications after surgery. PONV prophylaxis has been strongly recommended, and identifying risk factors is the first step. The well-known PONV risk assessment tools were not validated in the liver cancer population, however, no study has explored the relationship between PONV and liver surgery-specific factors. This study aimed to identify whether there was an association between hepatic portal occlusion and PONV among patients after hepatectomy. Methods Participants were consecutively enrolled during June 2023 to August 2023 in the cancer center in Fudan Univesity Zhongshan Hospital. Liver cancer patients who underwent liver resection surgery were eligible. The impact of hepatic portal occlusion on PONV was determined using Logistic regression models. Results A total of 380 patients were consecutively included in the study, and 192 patients (50.53%) developed PONV. A linear relationship between PONV and the time of hepatic portal occlusion was observed. Even adjusted for 9 PONV-related factors, the hepatic portal occlusion was still significantly correlated with PONV (OR = 1.22, 95%CI = 1.05–1.43, P  = 0.012). In addition, the numbers of hepatic portal occlusion were positively related to the incidence of PONV (OR = 1.30, 95% CI = 1.04–1.62, P for trend = 0.022); as the number of occlusions increased, patients were more likely to experience PONV. Conclusions Hepatic portal occlusion was an important PONV predictor for patients undergoing liver surgery and should be used to update PONV scoring systems to guide personalized prophylactic antiemetics use in clinical practice. Trial registration The study was registered with the US National Institutes of Health ClinicalTrials.gov (NCT05894408) on May 30, 2023.

Tendon and enthesis injuries are a global health problem affecting millions of people, causing huge medical expenditure and labor loss every year. However, due to their intricate tissue architecture, unique mechanical properties, and especially their sluggish and limited innate regenerative capacity, repairing these injuries remains a formidable clinical challenge. Here, we present a comprehensive review of biomaterials advances in tendon and enthesis repair recently. These biomaterials are categorized into two primary groups based on their potential clinical application conditions: biomaterials for T/E repairing and biomaterials for T/E replacement. The T/E repairing biomaterials were further divided into two groups: mechanical-enhanced biomaterials and bioactive biomaterials, according to the approaches they used to improve sutured tendon healing. We delve into the characteristics and underlying mechanisms of these various biomaterials to gain a deeper understanding of the current landscape in tendon and enthesis repair biomaterials. This review aims to highlight the prominent advancements while identifying the remaining gaps, ultimately inspiring future biomaterial design strategies. [Display omitted] •Braided and helical structures became increasingly popular in strength-augmenting biomaterials.•Promoting the regeneration of tendons and enthesis remains a prominent area.•Novel graft sources are being explored as well as the application of bioelectricity and in-situ sensing.

Cyber Physical Systems (CPS) has been a popular research area in the last decade. The dependability of CPS is still a critical issue, and few surveys have been published in this domain. CPS is a dynamic complex system, which involves various multidisciplinary technologies. To avoid human errors and to simplify management, self-management CPS (SCPS) is a wise choice. To achieve dependable self-management, systematic solutions are necessary to verify the design and to guarantee the safety of self-adaptation decisions, as well as to maintain the health of SCPS. This survey first recalls the concepts of dependability, and proposes a generic environment-in-loop processing flow of self-management CPS, and then analyzes the error sources and challenges of self-management through the formal feedback flow. Focusing on reducing the complexity, we first survey the self-adaptive architecture approaches and applied dependability means, then we introduce a hybrid multi-role self-adaptive architecture, and discuss the supporting technologies for dependable self-management at the architecture level. Focus on dependable environment-centered adaptation, we investigate the verification and validation (V&V) methods for making safe self-adaptation decision and the solutions for processing decision dependably. For system-centered adaptation, the comprehensive self-healing methods are summarized. Finally, we analyze the missing pieces of the technology puzzle and the future directions. In this survey, the technical trends for dependable CPS design and maintenance are discussed, an all-in-one solution is proposed to integrate these technologies and build a dependable organic SCPS. To the best of our knowledge, this is the first comprehensive survey on dependable SCPS building and evaluation.