Corcoransims6454
Diabetic Macular Edema has been one of the research hotspots all over the world. But as the global population continues to grow, the number of OCT images requiring manual analysis is becoming increasingly unaffordable. Medical images are often fuzzy due to the inherent physical processes of acquiring them. It is difficult for traditional algorithms to use low-quality data. And traditional algorithms usually only provide diagnostic results, which makes the reliability and interpretability of the model face challenges. To solve problem above, we proposed a more intuitive and robust diagnosis model with self-enhancement ability and clinical triage patients' ability.
We used 38,057 OCT images (Drusen, DME, CNV and Normal) to establish and evaluate the model. All data are OCT images of fundus retina. There were 37,457 samples in the training dataset and 600 samples in the validation dataset. In order to diagnose these images accurately, we propose a multiscale transfer learning algorithm. Firstly, the sample id of medical staff and save the precious time of patients.
Comparing the performance of relevant work and ablation test, our model achieved relatively good performance. It is proved that the model proposed in this paper has a stronger ability to recognize diseases even in the face of low-quality images. Experiment results also demonstrate its clinical referral capability. It can reduce the workload of medical staff and save the precious time of patients.
Adequate foot care and regular foot examinations along with optimal glycemic control are effective strategies to prevent foot ulceration.
The aim of this study was to describe the patterns of foot self-care practice among diabetic patients attending an ambulatory clinic.
A descriptive cross-sectional study was conducted at the ambulatory clinic of Jimma Medical Center. A consecutive sampling technique was used. The data were analyzed by SPSS version 20 and descriptive statistics were used to describe the findings.
A total of 370 diabetic patients (55.9% male and 68.4% type 2) were interviewed. The mean (±SD) age of the patients was 46.47±13.63 years. Over one-third (35.7%) of the patients had a previous history of foot ulcer. The majority of the patients self-inspect (92.5%) and wash (82.7%) their foot at least daily, respectively. In this study, 12.2% of the patients never inspected the inside of their footwear before putting them on and 42.4% of the patients never dry between their toes after washin in sandals/slippers, and in shoes without socks. Therefore, clinicians should counsel every diabetic patient about the importance of foot self-inspection, foot hygiene, and the risk of walking barefoot, wearing sandals/slippers, and shoes without socks at every follow-up visit.
species are widely distributed microorganisms in nature that are responsible for outbreaks of food poisoning and a common cause of food spoilage. This study aimed to isolate and identify foodborne
species from meat and to determine the antimicrobial activities of commercial essential oils and spices powder extracted from certain medicinal plants.
Sixty meat samples were collected in Assiut city and subdivided into raw meat and processed meat.
spp were isolated and identified according to their cultural characters, biochemical reactions, serological typing, and 16S rRNA gene sequencing. The antibacterial activity of essential oils and spices powder was measured by using well-diffusion and microbial count techniques.
The prevalence of
spp. in the examined raw meat samples and processed meat samples was 13.34%, and 26.67%, respectively. There was a marked decrease in the total
species count after treatment of minced beef with essential oils and spices powder compared to the untreated one. Black seed oil was the most potent antibacterial essential oil among the tested oils present in this study.
Essential oils and spices powder of certain medicinal plants (cumin
, black seeds
, cloves
, cinnamon
, and Marjoram
) have a potential in vitro antimicrobial activity against
spp. Furthermore,
oil exhibited the most potent antibacterial activity against
spp.
Essential oils and spices powder of certain medicinal plants (cumin Cuminum cyminum, black seeds Nigella sativa, cloves Syzygium aromaicum, cinnamon Cinnamomum zeylanicum, and Marjoram Origanum majorana) have a potential in vitro antimicrobial activity against Bacillus spp. Furthermore, Nigella sativa oil exhibited the most potent antibacterial activity against Bacillus spp.
L. is a very important medicinal and industrial flowering aromatic plant.
The present study deals with
L. leaves extract (JOLE) as a reducing and capping agent for the synthesis of silver nanoparticles (AgNPs) by the green pathway. Phenolic profile of the extract was evaluated using HPLC-PDA/MS/MS technique.
L. leaves extract silver nanoparticles (JOLE-AgNPs) were characterized by ultraviolet light (UV), Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), zeta potential and X-ray diffraction (XRD). JOLE-AgNPs were examined for their cytotoxic activities by neutral red uptake assay (NRU) against bladder (5637) and breast cancer (MCF-7) cell lines.
HPLC-PDA/MS/MS tentatively identified 51 compounds of different chemical classes. UV spectra showed absorption peak at λmax = 363 nm. The biosynthesized AgNPs were predominantly spherical in shape with an average size of 9.22 nm by TEM. The face cubic center (fcc) nature of silver nanoparticles was proved by XRD diffractogram. APX2009 research buy JOLE-AgNPs exhibited high cytotoxic activity against 5637 and MCF-7 cell lines compared to the cytotoxic activities of JOLE with IC
of 13.09 µg/mL and 9.3 µg/mL, respectively.
The silver nanoparticles formed by
L. showed high cytotoxic activities against MCF-7 and 5637 cell lines and can be introduced as a new alternative cytotoxic medication.
The silver nanoparticles formed by Jasminum officinale L. showed high cytotoxic activities against MCF-7 and 5637 cell lines and can be introduced as a new alternative cytotoxic medication.
