Cooperative Swarm Intelligence Algorithms for Adaptive Multilevel Thresholding Segmentation of COVID-19 CT-Scan Images

The Coronavirus Disease 2019 (COVID-19) is widespread throughout the world and poses a serious threat to public health and safety. A COVID-19 infection can be recognized using computed tomography (CT) scans. To enhance the categorization, some image segmentation techniques are presented to extract regions of interest from COVID-19 CT images. Multi-level thresholding (MLT) is one of the simplest and most effective image segmentation approaches, especially for grayscale images like CT scan images. Traditional image segmentation methods use histogram approaches; however, these approaches encounter some limitations. Now, swarm intelligence inspired meta-heuristic algorithms have been applied to resolve MLT, deemed an NP-hard optimization task. Despite the advantages of using meta-heuristics to solve global optimization tasks, each approach has its own drawbacks. However, the common flaw for most meta-heuristic algorithms is that they are unable to maintain the diversity of their population during the search, which means they might not always converge to the global optimum. This study proposes a cooperative swarm intelligence-based MLT image segmentation approach that hybridizes the advantages of parallel meta-heuristics and MLT for developing an efficient image segmentation method for COVID-19 CT images. An efficient cooperative model-based meta-heuristic called the CPGH is developed based on three practical algorithms: particle swarm optimization (PSO), grey wolf optimizer (GWO), and Harris hawks optimization (HHO). In the cooperative model, the applied algorithms are executed concurrently, and a number of potential solutions are moved across their populations through a procedure called migration after a set number of generations. The CPGH model can solve the image segmentation problem using MLT image segmentation. The proposed CPGH is evaluated using three objective functions, cross-entropy, Otsu’s, and Tsallis, over the COVID-19 CT images selected from open-sourced datasets. Various evaluation metrics covering peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and universal quality image index (UQI) were employed to quantify the segmentation quality. The overall ranking results of the segmentation quality metrics indicate that the performance of the proposed CPGH is better than conventional PSO, GWO, and HHO algorithms and other state-of-the-art methods for MLT image segmentation. On the tested COVID-19 CT images, the CPGH offered an average PSNR of 24.8062, SSIM of 0.8818, and UQI of 0.9097 using 20 thresholds

Metabolic profile and skin-related bioactivities of cerioporus squamosus hydromethanolic extract

Being a functional food capable of showing nutritional as well as medicinal properties have great attention. Mushrooms have been proven as leading targets in this field. For this purpose, the edible mushroom Cerioporus squamosus was investigated in this study to evaluate the in vitro skin-related bioactivities of its hydromethanolic extract in terms of enhancing wound healing, and human skin cancer suppression capabilities. Treatment of fibroblast cells (BJ-1) with the hydromethanolic extract of this mushroom at 50 µg/mL enhanced cell migration rates by 71.7% after 24 h of exposure to the extract. Moreover, the same extract exhibited a promising impact on human skin cancer using an epidermoid carcinoma cell line (A431). The gradual increase in C. squamosus hydromethanolic extract concentration caused gradual decrease in the A431 cell viability and proliferation. Maximum effect on reducing the cell viability was obtained at a concentration of 100 µg/mL, where cell viability was 3.7%, and recorded IC50 was 52.6 µg/mL. The metabolic profile of the extract was analyzed by GC-MS, which was performed on its silylated metabolites. Nineteen compounds were detected including sugar alcohols, amino acids, fatty and organic acids. Promising results of this mushroom extract encourage conducting further steps towards using this mushroom as a functional food showing promising bioactivities

Factors Affecting the Reluctance to Pursue Teaching as a Career from the Perspective of Students in the Sultanate of Oman: A mixed-approach Investigation

هدفت الدراسة الحالية إلى الكشف عن العوامل المؤثرة في عزوف الطلبة عن مهنة التدريس بسلطنة عمان. استخدمت الدراسة المنهج المختلط، حيث تم جمع البيانات الكمية من خلال مقياس العوامل المؤثرة على اختيار مهنة التدريس بعد تعريبه وتكييفه لمجتمع الدراسة المكون من طلبة الصفوف 10-12 (ن= 3455)، أما البيانات النوعية فقد تم جمعها من خلال مجموعات النقاش البؤرية مع طلبة هذه الصفوف (ن= 253). أشارت النتائج إلى أن العوامل المؤثرة في عزوف الطلبة عن مهنة التدريس تمحورت حول: صعوبة المهنة، وقلة حوافزها المادية، وتدني المكانة الاجتماعية لها مقارنة بالمهن الأخرى، بينما بينت نتائج مجموعات النقاش البؤرية وجود آراء إيجابية وسلبية للمهنة، ووجود تحديات أبرزها: صعوبة التعامل مع عدد كبير من الطلبة، وتوقف ترقيات المعلمين، وتعيين المعلمين بعيدا عن أماكن إقامتهم. كما بين أغلبية طلبة المدارس من الجنسين بأنه ليس لديهم الرغبة والاتجاه الإيجابي لاختيار التدريس كمهنة المستقبل. كما أشارت نتائج الدراسة المتعلقة بالفروق بين الجنسين إلى وجود فروق دالة إحصائيا لصالح الذكور في العزوف عن مهنة التدريس

Modifying the design of pond production systems can improve the health and welfare of farmed Nile tilapia, Oreochromis niloticus

Infected fish have been known to recover from mild illness when they are able to locate to warmer water. This study aimed to replicate this 'behavioural fever' effect in an aquaculture setting by artificially heating a section of a fish pond (thereby introducing a thermal gradient) and effectively modifying pond design. This was achieved through the construction of a 'greenhouse' type structure above a section of the pond. Over the length of the production cycle at three typical Nile tilapia (Oreochromis niloticus) farms, the study collected data on water quality and fish growth and at the end of the cycle, blood samples were taken and total production was recorded. At each farm, fish were divided into two identical ponds, one with a greenhouse covering 3% of the pond surface area and one without. Results showed that greenhouse was effective in warming the surface of the water immediately below it. Oxygen levels were also higher under the greenhouse than outside of it and higher than in the control pond. Fish reared in the greenhouse ponds tended to be larger than the control ponds and had improved physiological and immune status (i.e., better liver and kidney function, higher antioxidant activity and lysozyme count; p < 0.05). The results of this study suggest that low-cost interventions that introduce thermal gradients in aquaculture systems may hold promise for improving health and welfare status of farmed fish in developing countries

Modifying the design of pond production systems can improve the health and welfare of farmed Nile tilapia, Oreochromis niloticus

Infected fish have been known to recover from mild illness when they are able to locate to warmer water. This study aimed to replicate this 'behavioural fever' effect in an aquaculture setting by artificially heating a section of a fish pond (thereby introducing a thermal gradient) and effectively modifying pond design. This was achieved through the construction of a 'greenhouse' type structure above a section of the pond. Over the length of the production cycle at three typical Nile tilapia (Oreochromis niloticus) farms, the study collected data on water quality and fish growth and at the end of the cycle, blood samples were taken and total production was recorded. At each farm, fish were divided into two identical ponds, one with a greenhouse covering 3% of the pond surface area and one without. Results showed that greenhouse was effective in warming the surface of the water immediately below it. Oxygen levels were also higher under the greenhouse than outside of it and higher than in the control pond. Fish reared in the greenhouse ponds tended to be larger than the control ponds and had improved physiological and immune status (i.e., better liver and kidney function, higher antioxidant activity and lysozyme count; p < 0.05). The results of this study suggest that low-cost interventions that introduce thermal gradients in aquaculture systems may hold promise for improving health and welfare status of farmed fish in developing countries.Article Information Received 26 September 2022 Revised 05 November 2022 Accepted 28 November 2022; O n l i n e F i r s t A r t i c l

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P &lt; 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

In Vitro and Ex Vivo Antibiofilm Activity of a Lipopeptide Biosurfactant Produced by the Entomopathogenic Beauveria bassiana Strain against Microsporum canis

Microsporum canis is one of the most important dermatophyte causing tinea corporis and tinea capitis and its biofilm-form has a poor therapeutic response. The biosurfactant production by entomopathogenic fungi (EPF) has not been reported yet. The study aimed to investigate the potential usage of the EPF biosurfactant in the eradication of an ex vivo biofilm of Microsporum canis (M. canis) for the first time. An entomopathogenic fungus was isolated from the fungal-infected Vespa orientalis wasp and identified as Beauveria bassiana (MN173375). Chemical characterization revealed the lipopeptide nature of the B. bassiana biosurfactant (BBLP). Efficient antifungal and antibiofilm activities of BBLP against M. canis in vitro were detected. An ex vivo hair model was used to investigate the efficiency of BBLP against M. canis biofilm, in a scenario close to the in vivo conditions. M. canis ex vivo biofilm eradication was confirmed in stereo, scanning electron, and fluorescent images. Also, the ex vivo biofilm was less susceptible to BBLP treatment compared to its in vitro counterpart. In conclusion, BBLP showed significant eradication to the M. canis ex vivo biofilm and open horizons to use bio-resource derived from EPF in controlling microbial biofilm and holding great promise for combating recalcitrant dermatophytosis

Evaluation of Expressed MicroRNAs as Prospective Biomarkers for Detection of Breast Cancer

Background: Early detection and screening of breast cancer (BC) might help improve the prognosis of BC patients. This study evaluated the use of serum microRNAs (miRs) as non-invasive biomarkers in BC patients. Methods: Using quantitative real-time polymerase chain reaction, we evaluated the serum expression of four candidate miRs (miR-155, miR-373, miR-10b, and miR-34a) in 99 Egyptian BC patients and 40 healthy subjects (as a control). The miRs expression was correlated with clinicopathological data. In addition, the sensitivity and specificity of the miRs were determined using receiver operating characteristic (ROC) curve analysis. Results: Serum miR-155, miR-373, and miR-10b expression were significantly upregulated (p &lt; 0.001), while serum miR-34a was downregulated (p &lt; 0.00) in nonmetastatic (M0) BC patients compared to the control group. In addition, serum miR-155 and miR-10b were upregulated in BC patients with large tumor sizes and extensive nodal involvement (p &lt; 0.001). ROC curve analysis showed high diagnostic accuracy (area under the curve = 1.0) when the four miRs were combined. Serum miR-373 was significantly upregulated in the human epidermal growth factor 2&ndash;negative (p &lt; 0.001), estrogen receptor&ndash;positive (p &lt; 0.005), and progesterone receptor (PR)-positive (p &lt; 0.024) in BC patients, and serum miR-155 was significantly upregulated in PR-negative (p &lt; 0.001) BC patients while both serum miR-155 and miR-373 were positively correlated with the tumor grade. Conclusions: Circulating serum miR-155, miR-373, miR-10b, and miR-34a are potential biomarkers for early BC detection in Egyptian patients and their combination shows high sensitivity and specificity