In the report we describe a method of reducing the number of transfusions of heterologous blood in patients with a surgical correction of chest walls. In 71 children between 2 and 17 years of age, 10-15% of total blood volume were withdrawn 3-4 weeks before the operation, deep frozen and thawed at the appropriate time to be ready for retransfusion. This arrangement reduced the need of heterologous blood significantly from 18.6% (prior to the introduction of the method) to 4.2%.
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http://dx.doi.org/10.1055/s-2008-1075593 | DOI Listing |
J Hazard Mater
January 2025
State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources; College of Chemistry, Xinjiang University, Urumqi, 830017, Xinjiang, PR China; School of Materials Science and Engineering, Xinjiang Engineering Research Center of Environmental and Functional Materials, Xinjiang University, Urumqi, 830017, Xinjiang, PR China. Electronic address:
Antibiotic residues pose a significant threat to global health. Traditional detection methods for antibiotics are cumbersome, time-consuming and often incapable of achieving non-destructive detection at low temperatures. This research introduces a groundbreaking innovation in antibiotic detection: a flexible Surface-Enhanced Raman Scattering substrate based on a silver composite deep eutectic solvent (DES) gel, specifically engineered for low-temperature antibiotic detection.
View Article and Find Full Text PDFFood Res Int
February 2025
State Key Laboratory of Food Science and Technology, Jiangnan University, 214122 Wuxi, Jiangsu, China; Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, 214122 Wuxi, Jiangsu, China.
The prepared foods sector has grown rapidly in recent years, driven by the fast pace of modern living and increasing consumer demand for convenience. Prepared foods are taking an increasingly important role in the modern catering industry due to their ease of storage, transportation, and operation. However, their processing faces several challenges, including labor shortages, inefficient sorting, inadequate cleaning, unsafe cutting processes, and a lack of industry standards.
View Article and Find Full Text PDFZhongguo Xiu Fu Chong Jian Wai Ke Za Zhi
January 2025
Health Science Center, Ningbo University, Ningbo Zhejiang, 315211, P. R. China.
Objective: To investigate the effectiveness of delayed replantation of degloving skin preserved at 4℃ in treatment of limb degloving injuries.
Methods: Between October 2020 and October 2023, 12 patients with limb degloving injuries were admitted. All patients had severe associated injuries or poor wound conditions that prevented primary replantation.
JAMA Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology/Head and Neck Surgery, Washington University in St Louis School of Medicine, St Louis, Missouri.
Importance: Given the favorable overall prognosis of human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC) and the morbidity of increased adjuvant therapy associated with positive surgical margins, large-scale studies on the accuracy of frozen sections in predicting final surgical margin status in HPV-related OPSCC are imperative. Final surgical margin status is the definitive assessment of tumor clearance as determined through surgeon-pathologist collaboration based on permanent analysis of frozen section margins, main specimens, and supplemental resections.
Objectives: To assess the accuracy and testing properties of intraoperative frozen section histology (IFSH) in assessing final surgical margin status in patients undergoing transoral surgery for HPV-related OPSCC.
Front Neurosci
January 2025
School of Data Science, Lingnan University, Hong Kong SAR, China.
Accurate monitoring of drowsy driving through electroencephalography (EEG) can effectively reduce traffic accidents. Developing a calibration-free drowsiness detection system with single-channel EEG alone is very challenging due to the non-stationarity of EEG signals, the heterogeneity among different individuals, and the relatively parsimonious compared to multi-channel EEG. Although deep learning-based approaches can effectively decode EEG signals, most deep learning models lack interpretability due to their black-box nature.
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