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Abstract Wound management is a critical aspect of healthcare, necessitating effective and innovative wound dressing materials. Many existing wound dressings lack effectiveness and exhibit limitations, including poor antimicrobial activity, toxicity, inadequate moisture regulation, and weak mechanical performance. The aim of this study is to develop a natural-based nanofibrous structure that possesses desirable characteristics for use as a wound dressing. The chemical analysis confirmed the successful creation of Zein (Ze) (25% w/v) /gelatin (Gel) (10% w/v) /chitosan (CS) (2% w/v) /Polyvinyl alcohol (PVA) (10% w/v) nanofibrous scaffolds loaded with vitamin E tocopheryl polyethylene glycol succinate (Vit E). The swelling percentages of nanofiber (NF), NF + Vit E, cross-linked nanofiber (CNF), and CNF + Vit E were 49%, 110%, 410%, and 676%, respectively; and the degradation rates of NF, NF + Vit E, CNF, and CNF + Vit E were 29.57 ± 5.06%, 33.78 ± 7.8%, 14.03 ± 7.52%, 43 ± 6.27%, respectively. The antibacterial properties demonstrated that CNF impregnated with antibiotics reduced Escherichia coli (E. coli) counts by approximately 27–28% and Staphylococcus aureus (S. aureus) counts by about 34–35% compared to negative control. In conclusion, cross-linked Ze/Gel/CS/PVA nanofibrous scaffolds loaded with Vit E have potential as suitable wound dressing materials because environmentally friendly materials contribute to sustainable wound care and controlled degradation ensures wound dressings breakdown harmlessly.

Abstract This clinical trial aimed to assess the impact of Nutrition Bio-shield superfood (NBS) on clinical status among critically ill ICU patients suffering from acute respiratory distress syndrome (ARDS) due to the Omicron variant of COVID-19. A total of 400 patients with confirmed Omicron-related ARDS were randomly assigned to either the intervention group (n = 200) or the control group (n = 200). Patients in the intervention group received 1.5 g of NBS powder daily for 2 weeks in addition to standard antiviral treatment, while the control group received a placebo alongside standard antiviral therapy. Serum samples were collected from all patients in both groups, and various clinical and laboratory parameters, including ESR, CRP, D-Dimer, CPK, WBC count, lymphocyte count, and lymphocyte percentage, were measured using established methodologies. Following a 14-day intervention period, the intervention group exhibited a significant reduction in mean serum levels of CRP (15.39 vs. 48.49; P

Abstract Background and Aims Gastric cancer is a significant global issue with a high death rate. This malignancy could be associated with several viral agents such as EBV, CMV, HHV‐6, JCV, and BKV. Objective Evaluation of EBV, CMV, HHV‐6 ,and JCV, BKV frequency among gastric cancer patients. Methods In this cross‐sectional study, a total number of 60 gastric cancer specimens (32 male, 28 female) were retrieved from the pathology lab. Formalin‐fixed paraffin‐embedded tissue was used for molecular testing. DNA was extracted from samples, according to protocol, and used for PCR reaction. Polymerase chain reactions were used to assess CMV, EBV, HHV‐6, JCV, and BKV frequency. Results and Conclusion The mean age of the participants was 61 years and 53.3% (32) of the participants were Male. A total number of 5 samples (8.34%) were infected with viral agents. Four male gastric samples were infected with EBV (6.67%) and only one female sample contained the BKV genome (1.67%). Totally 8.34% of the samples were infected with EBV and BKV. The CMV, HHV‐6, and JCV genome was not detected in the samples. In conclusion, the presence of two viral agents including EBV and BKV among male and female samples respectively, and the genome of other viruses were not detected.

Mobile devices such as smartphones, tablets or similar devices are becoming increasingly important as measurement devices in forestry due to their advanced sensors, including RGB cameras and LiDAR systems. This review examines the current state of applications of mobile devices for measuring biometric characteristics of individual trees and presents technologies, applications, measurement accuracy and implementation barriers. Passive sensors, such as RGB cameras have proven their potential for 3D reconstruction and analysing point clouds that improve single tree-level information collection. Active sensors with LiDAR-equipped smartphones provide precise quantitative measurements but are limited by specific hardware requirements. The combination of passive and active sensing techniques has shown significant potential for comprehensive data collection. The methods of data collection, both physical and digital, significantly affect the accuracy and reproducibility of measurements. Applications such as ForestScanner and TRESTIMATM have automated the measurement of tree characteristics and simplified data collection. However, environmental conditions and sensor limitations pose a challenge. There are also computational obstacles, as many methods require significant post-processing. The review highlights the advances in mobile device-based forestry applications and emphasizes the need for standardized protocols and cross-device benchmarking. Future research should focus on developing robust algorithms and cost-effective solutions to improve measurement accuracy and accessibility. While mobile devices offer significant potential for forest surveying, overcoming the above-mentioned challenges is critical to optimizing their application in forest management and protection.