Science Progress最新文献

The incidence of cancer is increasing and evolving as a major source of mortality. Nanotechnology has garnered considerable scientific interest in recent decades and can offer a promising solution to the challenges encountered with traditional chemotherapy. Nanoparticle utilization holds promise in combating cancer and other diseases, offering exciting prospects for drug delivery systems and medicinal applications. Metallic nanoparticles exhibit remarkable physical and chemical properties, such as their minute size, chemical composition, structure, and extensive surface area, rendering them versatile and cost-effective. Research has demonstrated their significant and beneficial impact on cancer treatment, characterized by enhanced targeting abilities, gene activity suppression, and improved drug delivery efficiency. By incorporating targeting ligands, functionalized metal nanoparticles ensure precise energy deposition within tumors, thereby augmenting treatment accuracy. Moreover, beyond their therapeutic efficacy, metal nanoparticles serve as valuable tools for cancer cell visualization, contributing to diagnostic techniques. Utilizing metal nanoparticles in therapeutic systems allows for simultaneous cancer diagnosis and treatment, while also facilitating controlled drug release, thus revolutionizing cancer care. This narrative review investigates the advancements of metal nanoparticles in cancer treatment, types and mechanisms in targeting cancer cells, application in clinical scenarios, and potential toxicity in medicine.

Introduction: Endothelial dysfunction is an early precursor of atherosclerosis and is common in patients with psoriasis, presumably primarily due to psoriasis-related inflammation. We investigated endothelial function, arterial stiffness, and circulating markers of endothelial activation in young patients with psoriasis vulgaris of varying severity, all of whom were effectively treated achieving PASI 90.

Methods: We conducted a cross-sectional study of 80 patients (54 men/26 women, 30-45 years) who were effectively treated with topical therapy, methotrexate, adalimumab, secukinumab or guselkumab, and 20 healthy controls. Endothelial dysfunction was measured by flow-mediated dilation and arterial stiffness was measured by pulse wave velocity and common carotid artery stiffness. The following circulating biomarkers of endothelial activation were measured: ICAM-1, VCAM-1, E- and P-selectin, GDF-15, and TRAIL.

Results: Endothelial function and arterial stiffness parameters did not differ between patients with effectively treated psoriasis and the control group. Circulating endothelial activation biomarkers did not show relevant differences between the groups of effectively treated patients or controls.

Discussion: Although cardiovascular disease is the leading cause of morbidity and mortality in patients with psoriasis, effective antipsoriatic treatment appears to slow the progression of atherosclerosis, even when there are cardiovascular risk factors, such as smoking or obesity. This may suggest that antipsoriatic treatment exerts a cardioprotective effect.

Conclusions: Our results suggest that early and effective treatment of varying-severity psoriasis vulgaris in young patients appears to prevent arterial dysfunction related to psoriasis and consequent cardiovascular risk.The study is registered at http://clinicaltrials.gov (identifier: NCT05957120).

To meet various industrial requirements such as ease of motion, scalability, and cost efficiency, it is necessary to innovate the design of robotic platforms. In this research, a novel approach, from mechanical design to control implementation, is introduced for launching a robotic platform using a parallelogram mechanism. First, a reverse engineering process is applied, progressing from kinematics to dynamics. Then, several mechanical computations are conducted to ensure the structural stability of the robot framework. Subsequently, the dynamic performance of the system is analyzed, focusing on the driving torque and moments in each link. Additionally, the electrical design and transfer function of each joint are identified to ensure practical execution. To validate the effectiveness and feasibility of the design, both numerical simulations and experimental tests are performed. Theoretical results show the dynamic response of the proposed method, particularly in terms of the driving moments of the robotic joints. In real-world tests, various trajectories, such as different rectangular paths, are demonstrated to showcase the robot's capabilities. From these results, it is clear that the proposed approach is both feasible and applicable in practical scenarios.

Objectives: The frozen elephant trunk (FET) technique is effective for treating extended aortic arch aneurysms. This study compares hand-made and factory-made devices in this context.

Methods: A retrospective case-control study was conducted on 68 patients who underwent FET for distal aortic arch aneurysm at our institution. We used two different types of devices: hand-made stent graft in group Z (17 cases, 25.0%) and a commercialized stent graft in group J (51 cases, 75.0%). The study compared demographic characteristics and the outcomes between the two groups.

Results: In-hospital mortality was equivalent in both groups (5.9%). Spinal cord injury rates were 5.9% in group Z and 3.9% in group J. Group Z had a higher rate of aortic events (55.9% vs 96.9%, p < 0.001) and more frequent stent migration. The number of cases with aneurysm diameter shrinkage was lower in group Z. The landing zone angle at insertion influenced aneurysm changes, being 17.6 degrees in shrink cases and 26.7 degrees in unchanged or enlarged cases (p = 0.045).

Conclusions: FROZENIX device notably reduced incidences of postoperative complications compared to hand-made prostheses. Factors such as insertion angle and stent size, rather than changes in the landing zone angle, appeared to influence aneurysm shrinkage. The use of FROZENIX in TARFET procedures has shown benefits in reducing complications and improving long-term prognosis, taking into account the landing zone angle.

Rectal Schwannomas are exceptionally uncommon tumors that arise from the peripheral nerve plexus. These neoplasms are incidentally discovered as submucosal tumor-like lesions during routine colonoscopy in individuals without symptoms. Surgical resection accompanied by biopsy is considered the standard approach for diagnosis and treatment. We describe here the first successful utilization of submucosal tunneling endoscopic resection (STER) technique for removal of a rare rectal Schwannoma. A 59-year-old asymptomatic female was found to have a 15 × 12 mm submucosal tumor during colonoscopy. Submucosal tunneling endoscopic resection achieved en bloc resection and pathology confirmed Schwannoma. The patient was discharged uneventfully with no adverse events. This study highlights the efficacy and safety of STER for removing rare rectal Schwannomas.

To solve the problem of uneven dust cleaning in filter cartridges, a simple and easy-to-install "branch-type" nozzle structure was designed to improve cleaning efficiency. In this study, numerical simulations, range analysis methods, orthogonal experimental design, back-blowing experiments, and powder cleaning experiments were conducted. By choosing the back-blowing uniformity as the evaluation index for cleaning performance, with the flow distribution coefficient A, length of branch pipe B, and outlet diameter of main pipe C as the factors, and ignoring the interaction between factors, an orthogonal experiment was designed to simulate the fluid flow field of nine different nozzle structures installed in the back-blowing model. The results were analyzed using range analysis methods, and the optimal nozzle structure parameter combination was determined to be A = 50%/40%/10%, B = 70 mm, and C = 18 mm. Based on the back-blowing experiment, the accuracy of the simulation results was verified, and the back-blowing uniformity was improved by 50.12%. In the powder cleaning experiment, a new method of measuring the mass of dust shaken off by a single pulse of cleaning to calculate the residual dust on the filter cartridge, rather than removing the filter cartridge and weighing it, was found to reduce experimental errors and make the conclusions more solid and convincing. The results showed that the "branch-type" nozzle increases the cleaning efficiency by 37.6% compared with no nozzle installed, proving that the "branch-type" nozzle can reduce the number of reverse cleaning required and extend the cleaning interval, thus optimizing the cleaning performance of the dust collector.

The article identifies key principles of the important role played by low-carbon generation for ecosystems, which explores studies from perspectives of technology, strategy, and policy. In doing so, it provides a scientific basis for policymakers to formulate efficient and feasible plans to reduce emissions via low-carbon generation to revive ecosystems. Various situations are designed for the development path of low-carbon power generation via adaptive and systematic policies with advanced technologies and appropriate strategies. The article goes on to introduce and discuss a collection of papers that explore the restoration of ecosystem by low-carbon power generation. They discuss how to use technology to optimize low-carbon power generation system, analyze the impact of policies on low-carbon power generation, and explain the mechanism of strategies on low-carbon development of ecosystems.

In the context of the digital economy era, it is urgent for Chinese state-owned enterprises (SOEs) to engage in social value cocreation activities. The government and consumers' roles in SOEs' social value cocreation system cannot be ignored. Therefore, it is necessary to explore the tripartite social value cocreation model involving the government, SOEs, and consumers. In this respect, this study constructs a tripartite evolutionary game model of the government, SOEs, and consumers, and explores the influencing factors and evolutionary mechanism of the system overall. Matlab software is used to analyze the simulation data. The results reveal that the prerequisite for SOEs' successful social value cocreation is that consumers receive additional social value benefits greater than the level of improvement in social welfare. The allocation coefficient of consumers' additional social value benefits, the degree of the government's digital empowerment subsidy, and the level of the punishment for SOEs that violate the government's cocreation requirements will accelerate the achievement of equilibrium in the social value cocreation system, without affecting the final equilibrium result. By analyzing the strategic choices and interactive relationships among the government, SOEs, and consumers in social value cocreation in-depth, this study offers suggestions to promote the government, SOEs, and consumers' participation in social value cocreation. This research contributes to clarifying SOEs' social value cocreation model and has significant implications for promoting enterprises' high-quality development.

Due to the exceptional detection capabilities, the forward-looking sonar could be adopted in simultaneous localization and mapping (SLAM) for autonomous underwater vehicle (AUVs). This paper primarily investigates the application of the factor graph optimization SLAM algorithm based on feature maps in AUV. It achieves this by combining the smallest of constant false alarm rate (SO-CFAR) and adaptive threshold (ADT) to filter noise from the forward-looking sonar and extract feature point clouds. Furthermore, a weighted iterative closest point (WICP) algorithm is employed for feature point registration, which is extracted from the sonar image. The experimental result based on field data demonstrates that the proposed method, with an 8.52% improvement in root mean square error (RMSE) compared with dead reckoning (DR).

Objective: The purpose of the present study was to verify the diagnostic performance of an AI system for the automatic detection of teeth, caries, implants, restorations, and fixed prosthesis on panoramic radiography.

Methods: This is a cross-sectional study. A dataset comprising 1000 panoramic radiographs collected from 500 adult patients was analyzed by an AI system and compared with annotations provided by two oral and maxillofacial radiologists.

Results: A strong correlation (R > 0.5) was observed between AI perception and observers 1 and 2 in carious teeth (0.691-0.878), implants (0.770-0.952), restored teeth (0.773-0.834), teeth with fixed prostheses (0.972-0.980), and missing teeth (0.956-0.988).

Discussion: Panoramic radiographs are commonly used for diagnosis and treatment planning. However, they often suffer from artifacts, distortions, and superimpositions, leading to potential misinterpretations. Thus, an automated detection system is required to tackle these challenges. Artificial intelligence (AI) has revolutionized various fields, including dentistry, by enabling the development of intelligent systems that can assist in complex tasks such as diagnosis and treatment planning.

Conclusion: The automatic detection by the AI system was comparable to oral radiologists and may be useful for automatic identifications in panoramic radiographs. These findings signify the potential for AI systems to enhance diagnostic accuracy and efficiency in dental practices, potentially reducing the likelihood of diagnostic errors caused by unexperienced professionals.