Science Progress最新文献

Firefighters are exposed to the risk of burns at fire scenes. In 2020, the National Fire Agency of the Republic of Korea surveyed 50,527 firefighters and identified 242 burn-related incidents. The body parts affected by these burns were the hands (28.51%), ears (10.74%), and neck (10.33%), with hands and facial areas accounting for ∼50% of all burns. This trend implies that gloves and hoods do not provide sufficient protection against burns. Firefighters alternate between activity and rest during firefighting operations to enhance mission efficiency. However, the accumulated heat in their hood and gloves from these repeated cycles has not been considered thus far. This study investigated thermal accumulation patterns based on the moisture content of hoods and gloves, reflecting repeated cycles of work and rest for firefighters. Consequently, heat accumulation occurred in a dry state in both the hood and gloves, and the degree of heat storage was higher in the hood. The glove stored heat even when wet because of its multilayer structural characteristics. These results suggest that repeated activities (work-rest) with gloves and hoods under dry/wet conditions can generate residual heat and heat accumulation, causing burns on the hand and face. This study clearly demonstrated the impact of the moisture conditions of gloves and hoods in repetitive situations where they are exposed to relatively low levels of heat radiation and are then subject to rest periods. The results of this study are expected to be valuable in designing new protective gear to prevent burn injuries and developing efficient firefighting tactics.

Despite advances in multimodal cancer therapy, such as combining radical surgery with high-intensity chemoradiotherapy, for SMARCB1/INI-1-deficient sinonasal carcinoma (SDSC), the prognosis of patients remains poor. Immunotherapy is gaining increasing popularity as a novel treatment strategy for patients with SMARCB1/INI-1-deficient tumors. Herein, we report on the management of three patients with SDSC who received PD-1/PD-L1 inhibitor therapy as a part of multimodal therapy based on surgery and chemoradiotherapy. All three patients survived and demonstrated good clinical remission and disease control. To our knowledge, this is the first case series reporting the use of immunotherapy to improve clinical outcomes in neoadjuvant, adjuvant, and late first-line stages of treatment in patients with SDSC. Furthermore, we reviewed the relevant literature and further explored the correlation between SMARCB1/INI-1 deletion and immunotherapy.

Objective: The expansion of human activities in northern Colombia has increased human-snake encounters, particularly with venomous Porthidium lansbergii lansbergii. Given the limited knowledge of systemic envenomation effects and previous studies focusing only on early murine symptoms, this investigation aimed to describe the time-course physiopathology of P. lansbergii lansbergii envenomation following intramuscular injection in vivo.

Methods: Venom was inoculated in the gastrocnemius muscles of Swiss Webster mice, and blood, urine, and tissue samples were taken at different times to evaluate lethality and biochemical markers of renal function and oxidative stress.

Results: This study reports the first intramuscular LD₅₀ for P. lansbergii lansbergii venom at 24.83 mg/Kg. Administering 80% of this LD₅₀ induced early signs of renal injury, evidenced by urinary biomarkers over 24 h. The antioxidant activity was found at low levels in kidney tissue throughout the evaluated time post-envenomation. Malondialdehyde activity increased at the earliest point, while proinflammatory activity increased later. Urine metabolomics revealed elevated taurine and allantoin in the envenomed groups.

Discussion: Compensatory mechanisms in response to oxidative stress and tissue damage induced by the venom were evident in the envenomed mice over the evaluated time. However, histological analysis revealed evidence of pro-inflammatory processes occurring only at early times. Metabolomic analyses of urine samples identified taurine as a potential early biomarker of elevated oxidative stress and protein and creatinine levels.

Conclusions: P. lansbergii lansbergii venom induces alterations in murine renal tissue, affecting urinary biomarkers of kidney function within hours post-envenomation. Delayed proinflammatory effects may suggest an antioxidant imbalance in the envenomed mice, with unknown long-term effects. Further research on the role of oxidative stress and inflammation in renal structure and function following envenomation is necessary, emphasizing the need for prompt clinical management.

Cell division cycle-associated (CDCA) genes are dysregulated in carcinomas. Our study aims to identify similarities and differences of the clinical roles of CDCAs in breast cancer (BRCA) and to explore their potential mechanisms. In GEPIA, compared to normal tissues, expressions of CDCAs were higher in BRCA and sub-types. In addition, CDCAs were significantly positively related to stages and predicted worse survival in BRCA. In CancerSEA, expression levels of most CDCAs were strongly positively related to cell cycle, DNA damage, DNA repair, and proliferation. In TIMER, CDCAs were linked with immune infiltration levels of BRCA, including Dendritic cell, B cell and so on, and were positively related to most of the common markers of immune cells, especially CD38 of B cell and IL12RB2 of Th1. In GeneMANIA, there were complex interactions and co-expression relationships between CDCAs and cell division-associated genes. In addition, CDCA1, CDCA3, CDCA5, CDCA6 and CDCA8 had a high proportion of amplification in BRCA, and CDCA1, CDCA2, CDCA5, CDCA7 and CDCA8 had high levels of body DNA methylation. Among 11 transcription factors possibly combining promoters of all CDCAs, FOXP3 and YY1 were significantly higher in BRCA in comparison to normal tissues, and both had a positive relationship with all CDCAs in GEPIA and IHC. In addition, silencing FOXP3 or YY1 decreased levels of CDCAs in MDA-MB-231. In summary, CDCAs have various similarities in clinical functions, functional states, immune infiltration, and mechanisms, and they may become novel potential biomarkers for BRCA.

A backtracking heuristic algorithm (BHA) was proposed for a two-dimensional rectangular strip packing problem with rotations and without guillotine cutting, which has many applications. An improved fitness strategy was used to select the fittest rectangle to be packed on a strip with a certain height. Next, a backtracking constructive heuristic was repeatedly used at a higher height until all the rectangles were packed. A multi-start improvement procedure then found the best solution by taking a different rectangle as the first rectangle, whereas the sequence of the other rectangles remained unchanged. Finally, in order to further expand the scope of the solution, a simple randomized local search procedure based on random sequences of rectangles with the first rectangle unchanged was applied to search for the optimal solution. BHA has only two parameters; it is simple and effective. Computational results on benchmark problems (zero-waste instances and non-zero-waste instances) with different scales (from 10 to 75,032 rectangles) indicate the following: (1) though it is non-deterministic, the difference between the results after each running is tiny and (2) the proposed algorithm outperforms most of the other algorithms under comparison on the whole, especially for large-scale instances with more than 1000 rectangles, which is further verified by statistical analysis and greatly meaningful in mass industrial production like metal cutting.

Ensuring the integrity of shipping containers is crucial for maintaining product quality, logistics efficiency, and safety in the global supply chain. Damaged containers can lead to significant economic losses, delays, and safety hazards. Traditionally, container inspections have been manual, which are labor-intensive, time-consuming, and error-prone, especially in busy port environments. This study introduces an automated solution using the YOLO-NAS model, a cutting-edge deep learning architecture known for its adaptability, computational efficiency, and high accuracy in object detection tasks. Our research is among the first to apply YOLO-NAS to container damage detection, addressing the complex conditions of seaports and optimizing for high-speed, high-accuracy performance essential for port logistics. Our method showcases YOLO-NAS's superior efficacy in detecting container damage, achieving a mean average precision (mAP) of 91.2%, a precision rate of 92.4%, and a recall of 84.1%. Comparative analyses indicate that YOLO-NAS consistently outperforms other leading models like YOLOv8 and Roboflow 3.0, which showed lower mAP, precision, and recall values under similar conditions. Additionally, while models such as Fmask-RCNN and MobileNetV2 exhibit high training accuracy, they lack the real-time assessment capabilities critical for port applications, making YOLO-NAS a more suitable choice. The successful integration of YOLO-NAS for automated container damage detection has significant implications for the logistics industry, enhancing port operations with reliable, real-time inspection solutions that can seamlessly integrate into predictive maintenance and monitoring systems. This approach reduces operational costs, improves safety, and lessens the reliance on manual inspections, contributing to the development of "smart ports" with higher efficiency and sustainability in container management.

Objective: To study the impact of kinetic glomerular filtration rate (kGFR) on clinical decision making and its implications on drug dosing compared to that of estimated GFR (eGFR) using chronic kidney disease epidemiology collaboration (CKD-EPI) equation in critically ill patients with acute kidney injury (AKI) admitted in a tertiary level intensive care unit (ICU).

Methods: Cross-sectional, prospective, observational study design. All patients admitted to Medical ICU, Fortis Hospital, Bangalore with AKI defined as per AKI network (AKIN) criteria. Patients were recruited after approval from the scientific and institutional ethics committee, with written informed consent. Serum creatinine values at admission and further values were noted. GFR was calculated using both formulas (CKD-EPI and kGFR) and documented at all intervals of creatinine sampling. Drugs requiring renal dose modification along with the dosing were documented. Sample size was calculated after a pilot study and a total of 107 patients were analyzed.

Results: Incidence of AKI was 12.84%. The mean (±SD) eGFR was 37.25 (±29.4) and kGFR was 42.5 (±33.2), (p-value .003). 70 (65.42%) patients required drug dose change when kGFR was used. Dosing changes from Day 1 to Day 5 are 53/104 (50.9%), 39/81 (48.1%), 12/26 (46.1%), 2/9 (28.5%), 1/2 (50%). Predominant dose changes were for antimicrobials: vancomycin (35.7%), acyclovir (23.1%), and meropenem (23%).

Discussion: Drug dosing using different methods of GFR calculation showed a difference in the dosing in 65.42% of patients with AKI. Accounting for change in creatinine over time using kinetic GFR may lead to better drug dosing in critically ill patients with AKI.

Conclusion: Our study shows that calculating GFR using kGFR formula instead of CKD-EPI may change drug dosages among patients with AKI admitted in ICU. By replacing conventional GFR estimation formulas with kGFR we may reduce the drug dosing inaccuracies that are currently prevalent in this cohort of patients.

This study presents a novel integration of two advanced deep learning models, U-Net and EfficientNetV2, to achieve high-precision segmentation and rapid classification of pathological images. A key innovation is the development of a new heatmap generation algorithm, which leverages meticulous image preprocessing, data enhancement strategies, ensemble learning, attention mechanisms, and deep feature fusion techniques. This algorithm not only produces highly accurate and interpretatively rich heatmaps but also significantly improves the accuracy and efficiency of pathological image analysis. Unlike existing methods, our approach integrates these advanced techniques into a cohesive framework, enhancing its ability to reveal critical features in pathological images. Rigorous experimental validation demonstrated that our algorithm excels in key performance indicators such as accuracy, recall rate, and processing speed, underscoring its potential for broader applications in pathological image analysis and beyond.

Increasing concerns about climate change and efforts on reducing reliance on fossil fuels have led to research on electric vehicles for sustainable solutions to increasing energy demands. This study comprehensively analyzes the impact of power plant emissions on the adoption of electric vehicles in relation to air pollution. The main pollutants emitted by power plants and the potential change in emissions with the deployment of electric vehicles are assessed. Energy consumption of the vehicles was calculated. A gasoline-powered and an electric vehicle are modelled in MATLAB Simulink software. The theoretical model results of the main pollutants are compared with the power plant emissions to analyze the effect on major pollutants. This investigation aims to identify the potential CO₂ emission and power requirement by transitioning to electric vehicles. Results show that energy consumption and CO₂ emissions can be 111% and 82% higher than GPVs depending on the electricity generation technologies.

Electrolyte imbalance management is crucial in diverse clinical scenarios, with intravenous potassium repletion often required. High-concentration infusions can pose severe complications if extravasation occurs, leading to phlebitis, local tissue damage, or in severe cases, cutaneous necrosis. This risk is elevated in geriatric patients due to factors like reduced tissue elasticity and sensitivity. We report a case of phlebitis and skin necrosis in an elderly woman after peripheral KCl infusion (6% [800 mmol/L]). A woman in her early 70 s presented with obstructive jaundice and critically low potassium levels. A peripheral intravenous administration of 6% KCl was initiated to rectify hypokalemia. Due to superficial venous site selection and the patient's reduced sensitivity, phlebitis developed unnoticed, leading to cutaneous necrosis. Management involved medication discontinuation, cannula removal, application of a magnesium sulfate dressing, limb elevation, and a hydrogel dressing. Despite initial necrosis, wound debridement, ongoing dressings, and moderate hand exercises led to a complete wound resolution. This case underscores the importance of careful selection and monitoring of infusion sites during administration of irritant solutions like concentrated KCl, particularly in geriatric patients. Patient-specific factors, pharmacological implications, and the necessity for adequate vascular assessment are emphasized. Further, the case highlights the necessity for prompt and multifaceted management strategies to handle complications, including patient and caregiver education, careful wound management, and proactive nursing care. The event underscores the need for established protocols regarding the administration of high-risk drugs to prevent severe sequelae.