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Background: Cellular senescence is a state of irreversible cell cycle arrest that serves as a critical regulator of tissue homeostasis, aging, and disease. While transient senescence contributes to development, wound healing, and tumor suppression, chronic senescence drives inflammation, tissue dysfunction, and age-related pathologies, including cataracts. Lens epithelial cells (LECs), essential for maintaining lens transparency, are particularly vulnerable to oxidative stress-induced senescence, which accelerates lens aging and cataract formation. This review examines the dual role of senescence in LEC function and its implications for age-related cataractogenesis, alongside emerging senotherapeutic interventions. Methods: This review synthesizes findings on the molecular mechanisms of senescence, focusing on oxidative stress, mitochondrial dysfunction, and the senescence-associated secretory phenotype (SASP). It explores evidence linking LEC senescence to cataract formation, highlighting key studies on stress responses, DNA damage, and antioxidant defense. Recent advances in senotherapeutics, including senolytics and senomorphics, are analyzed for their potential to mitigate LEC senescence and delay cataract progression. Conclusions: LEC senescence is driven by oxidative damage, mitochondrial dysfunction, and impaired redox homeostasis. These factors activate senescence path-ways, including p53/p21 and p16/Rb, resulting in cell cycle arrest and SASP-mediated inflammation. The accumulation of senescent LECs reduces regenerative capacity, disrupts lens homeostasis, and contributes to cataractogenesis. Emerging senotherapeutics, such as dasatinib, quercetin, and metformin, show promise in reducing the senescent cell burden and modulating the SASP to preserve lens transparency.

Fused CaF2-SiO2-CaO-TiO2 fluxes are designed and applied to join EH36 shipbuilding steel under high heat input submerged arc welding. Pertinent elemental transfer behaviors of major alloying elements are quantified and possible chemical reactions have been postulated. It is found that transfer of Si and O is enhanced by increasing TiO2 addition, although that of Si is concurrently dependent on SiO2 activity. Furthermore, a unique neutral point is identified with regard to Ti transfer.

The explosive growth in online video streaming presents challenges for video understanding with high accuracy and low computation complexity. Recent methods have realized global video representation without considering the local spatial structures of the videos over time. In this paper, we propose a method called partial channel fusion (PCF), which exploits local spatio-temporal characteristics for video understanding. We also present an agnostic and effective module for PCF which can provide both high efficiency and high performance in a variety of networks. Rather than independently modeling the spatial structure and motion structure of videos, the PCF module enables information exchange among multiple frames by partially fusing channels over the temporal dimension. By inserting the PCF module into different layers of a 2D convolutional network (2D-convNets), the local and global spatio-temporal characteristics of videos can be captured. Experimental results on two challenging datasets demonstrate the superiority of PCF in improving the accuracy of a 2D-convNets, advancing the state-of-the-art without increasing computational complexity.

This paper proposes a ray-model-based straight-line extraction method for the grid map of a mobile robot, call RM-Line. First, the edge map is obtained, with the help of the connectivity of the blank grid. Then, points containing complete line information, called active points, are obtained using a screening model. Lastly, a ray model is designed to extraction line segments. We evaluate the algorithm using the number of lines, the average distance from grids to the lines, and the running time. Experiments show that the proposed algorithm has better performance on grid maps compared to the state-of-the-art algorithms.

Although the four-wheel steering system expands the flexibility of vehicle control, it also brings the problem of difficult coordination between driver comfort and vehicle stability. To this end, this paper proposes robust coordinated control for a four-wheel steering (4WS) vehicle considering driving comfort and vehicle stability. First, the vehicle dynamics model is constructed to reflect the lateral motion characteristics of a 4WS vehicle. Then, the driver model is coupled into the 4WS vehicle model to describe the driver’s handling characteristics. To suppress the system perturbation caused by the uncertainties of driver behavior and vehicle states, the Takagi-Sugeno fuzzy robust control method is developed to design the human-machine co-driving system. Moreover, the robust positive invariant set theory is used to guarantee the stability and safety constraints of the vehicle. Finally, the proposed human-machine shared robust control for 4WS vehicle is verified through the driving simulator platform. The results indicate that the fuzzy robust shared control approach comprehensively improves the driving comfort, vehicle stability, and path tracking.

Background Prosocial behavior is conducive to social harmony and personal development. Although some studies have shown that perceived social support can enhance prosocial behavior, the specific mechanisms are not clear. This study establishes a serial mediation model to explore the effects of perceived social support on prosocial behavior and the mediating roles of sense of gain and gratitude. Methods A total of 341 college students aged of 18 to 35( M  = 21.52, SD = 2.28, 59.53% female) were surveyed using the perceived social support scale, the sense of gain questionnaire, the gratitude questionnaire, and the prosocial tendency scale. Results The results revealed significant positive correlations among perceived social support, sense of gain, gratitude, and prosocial behavior. Furthermore, gratitude plays a mediating role between perceived social support and prosocial behavior, and the sense of gain and gratitude act as a chain of mediating roles between perceived social support and prosocial behavior. Conclusions The results indicate that enhancing individuals’ perceived social support and increasing their sense of gain and gratitude may be an effective way to promote their prosocial behaviors. However, the cross-sectional design and convenience sampling limit the ability to draw causal and generalizable conclusions.

Software Defined Network (SDN) makes routing decisions according to the shortest path. This routing scheme does not consider link information such as link residual bandwidth, forwarding delay, packet loss rate and so on. In the case of large data flow, it is easy to cause network congestion, thus reducing the network quality of service assurance. For this reason, using the ability of SDN network controller to monitor the underlying network information and control the route forwarding, we try to set multiple objective functions according to different QoS parameters, and use the non-dominated sorting multi-objective optimization genetic algorithm (NSGA II) based on the elite strategy to make routing decisions. Compared with other routing algorithms, the proposed multi-objective optimization genetic algorithm reduces forwarding delay and packet loss rate, so can effectively prevent network congestion.

Background: More than 40 years after discovering HIV, the prognosis has transformed from an acute, fatal illness, to an average life expectancy approximating that of the general population. Correspondingly, new concerns regarding the management of older adults with HIV and multimorbidity are beginning to emerge. To support the HIV care continuum, people with HIV benefit from having a primary care medical home to address multimorbidity associated with age, genetic disposition, chronic HIV, and/or antiretroviral adverse effects. The interplay between HIV, antiretrovirals, and metabolic conditions is complex and is under study. It is imperative that primary care clinicians and medical team members are aware of how HIV and antiretrovirals can impact a person’s comorbidities and corresponding mitigation strategies. Objective: The goal of this commentary is to raise awareness of the metabolic consequences of modern antiretrovirals so that interdisciplinary teams caring for people with HIV can better coordinate the management of related conditions such as obesity, diabetes, and cardiovascular disease.

Background Preoperative localization of pulmonary nodules is crucial for sublobar resection under thoracoscopy; however, controversy persists over the optimal localization method in terms of accuracy and safety. This study evaluates a novel technique integrating indocyanine green (ICG) with medical adhesive for pulmonary nodule localization. Materials and methods In this single-center retrospective cohort, 168 consecutive patients (188 pulmonary nodules ≤ 2 cm) undergoing preoperative localization followed by uniportal thoracoscopic resection (July 2023 to June 2024) were divided into two groups: ICG combined with medical adhesive group ( n  = 86) versus medical adhesive group ( n  = 82). Localization outcomes, related complications, surgical and pathological outcomes were compared between the two groups. Results There were no deaths or serious complications. All nodules were successfully resected thoracoscopically. The combined group demonstrated a shorter operative duration than the medical adhesive group (46.3 ± 6.7 min vs. 53.1 ± 5.9 min, P  < 0.001). No statistically significant differences were identified in surgical type, length of stay, duration of drain tube retention, and total postoperative drainage volume between the two groups ( P  > 0.05). Conclusion The combined use of ICG and medical adhesive for preoperative localization in uniportal thoracoscopic sublobar resection of small pulmonary nodules reduces operative time compared with medical adhesive positioning and demonstrates favorable safety profiles.

The kidney is a vital organ that carries out significant metabolic functions in our body. Due to the complexity of its role, the kidney is also susceptible to many disease conditions, such as acute kidney injury (AKI) and chronic kidney disease (CKD). Despite the prevalence and our increased understanding of the pathophysiology of both AKI and CKD as well as the transition of AKI to CKD, no well-established therapeutics have been applied clinically to these conditions, rendering an urgent need for a novel potential therapeutic target to be developed. In this article, we reviewed the function of ketone bodies in some common kidney conditions, such as drug-induced nephrotoxicity, ischemia and reperfusion injury, fibrosis development, diabetic kidney disease, kidney aging, hypertension, and CKD progression. All the selected studies reviewed were performed in animal models by primarily utilizing rodents, which also provide invaluable sources for future clinical applications. Ketone bodies have shown significant renal protective properties via attenuation of oxidative stress, increased expression of anti-inflammatory proteins, gene regulation, and a reduction of apoptosis of renal cells. A physiological level of ketone bodies could be achieved by fasting, a ketogenic diet, and an exogenous ketone supplement. Finally, the limitations of the long-term ketogenic diet were also discussed.