METHODS: In this paper, we propose a novel approach to distinguish colonic polyps by integrating several techniques, including a modified deep residual network, principal component analysis and AdaBoost ensemble learning. A powerful deep residual network architecture, ResNet-50, was investigated to reduce the computational time by altering its architecture. To keep the interference to a minimum, median filter, image thresholding, contrast enhancement, and normalisation techniques were exploited on the endoscopic images to train the classification model. Three publicly available datasets, i.e., Kvasir, ETIS-LaribPolypDB, and CVC-ClinicDB, were merged to train the model, which included images with and without polyps.
RESULTS: The proposed approach trained with a combination of three datasets achieved Matthews Correlation Coefficient (MCC) of 0.9819 with accuracy, sensitivity, precision, and specificity of 99.10%, 98.82%, 99.37%, and 99.38%, respectively.
CONCLUSIONS: These results show that our method could repeatedly classify endoscopic images automatically and could be used to effectively develop computer-aided diagnostic tools for early CRC detection.
RESULTS: The gene expression profile of SUB in the adult sheep was not affected by the pre- or early postnatal nutrition history. In PER, 993 and 186 differentially expressed genes (DEGs) were identified in LOW versus HIGH and NORM, respectively, but no DEG was found between HIGH and NORM. DEGs identified in the mismatched pre- and postnatal nutrition groups LOW-HCHF (101) and HIGH-HCHF (192) were largely downregulated compared to NORM-CONV. Out of 831 DEGs, 595 and 236 were up- and downregulated in HCHF versus CONV, respectively. The functional enrichment analyses revealed that transmembrane (ion) transport activities, motor activities related to cytoskeletal and spermatozoa function (microtubules and the cytoskeletal motor protein, dynein), and responsiveness to the (micro) environmental extracellular conditions, including endocrine and nervous stimuli were enriched in the DEGs of LOW versus HIGH and NORM. We confirmed that mismatched pre- and postnatal feeding was associated with long-term programming of adipose tissue remodeling and immunity-related pathways. In agreement with phenotypic measurements, early postnatal HCHF feeding targeted pathways involved in kidney cell differentiation, and mismatched LOW-HCHF sheep had specific impairments in cholesterol metabolism pathways.
CONCLUSIONS: Both pre- and postnatal malnutrition differentially programmed (patho-) physiological pathways with implications for adipose functional development associated with metabolic dysfunctions, and PER was a major target.
METHODS: This is a prospective block randomized, non-blinded study conducted at a single tertiary hospital. Patients undergoing elective laparoscopic cholecystectomy between August 2017 and October 2018 were recruited and randomized into Handout Assisted Consent (HC) and Verbal Consent (VC) group. The HC group was given an adjunct handout on laparoscopic cholecystectomy during consent process in addition to the standard verbal consent. A validated open-ended verbal understanding and recall questionnaire was administered to all patients in both groups at Day 1, 30 and 90 after surgery. Patient satisfaction of the consent process was evaluated with Likert scale.
RESULTS: A total of 79 patients were enrolled, 41 patients and 38 patients in VC and HC groups respectively. Level of understanding among patients were equal and consistent across time in both groups (P > 0.05). There was significant decline (P 0.05).
CONCLUSION: There is good consistent understanding of the surgery in both groups. However, recall of specific surgical consent items decreased significantly over time in both groups. Handouts may have increased satisfaction among patients but did not improve recall in this preliminary study.
TRIAL REGISTRATION: MREC No.:201783-5468.
METHODS: A cross-sectional study was conducted by using an online, web-based questionnaire, which was distributed to healthcare workers from 32 countries during April and May 2020. The respondents were recruited by the non-random convenience sampling method.
RESULTS: A total of 2166 respondents responded to the survey and the majority were working in low- and middle-income countries. Among them, 36% were doctors, 24% were nurses and 40% worked in other healthcare sectors. More than 70% of the respondents answered that "getting family support" and "positive thinking" were coping methods for them during the COVID-19 pandemic. Approximately half of the respondents worshiped according to their belief and conducted prayers (58.4%) and had adequate sleep and food intake (48.2%). The significant associations were observed between attitude score towards interprofessional teamwork and gender (p = 0.009), age (31-45 years) (p