Thrown into Deep Water: Feedback on Student Satisfaction—A Case Study in Hungarian and Romanian Universities

As a result of the COVID-19 health epidemic, online life has exploded into our daily lives, forcing most of us to move previously seemingly irreplaceable “face-to-face” activities into “non-face-to-face” meetings and activities in many sectors. One of the biggest challenges has been in the field of education: This sector, compared to other sectors, was less digitized. Under these circumstances, the entire education process was transferred to online space overnight, which was/is a major challenge for everyone. Thus, a questionnaire survey was conducted among students from two universities in Hungary and Romania, the results of which are included in the present article. The aim of the research was to measure students’ satisfaction and to examine the benefits of online education, for example, in terms of introducing hybrid education over the long term. Descriptive statistics as well as the Wilcoxon rank-sum test were used to analyze the database. The results showed that, from a practical point of view, there was no significant difference between the Hungarian and Romanian respondents who had a fundamentally positive view of digital education. In this respect, positive feedback can be seen as encouraging, especially for those individuals and social strata who may find online education much more attractive than traditional physical teaching. Online education could be an attractive, accessible, sustainable form of further education in the long run.

Discrete Equilibrium Optimizer Combined with Simulated Annealing for Feature Selection

This paper proposes a binary adaptation of the recently proposed meta-heuristic, Equilibrium Optimizer (EO), called Discrete EO (DEO) to solve binary optimization problems. A U-shaped transfer function has been used to map the continuous values of EO into the binary domain. To further improve the exploitation capability of DEO, Simulated Annealing (SA) has been used as a local search procedure and the combination has been named as DEOSA. The proposed DEOSA algorithm has been applied over 18 well-known UCI datasets and compared with a wide range of algorithms. The results have been statistically validated using Wilcoxon rank-sum test. In order to test the scalability and robustness of DEOSA, it has been additionally tested over 7 high-dimensional Microarray datasets and 25 binary Knapsack problems. The results clearly demonstrate the superiority and merits of DEOSA when solving binary optimization problems.

Effects of Xylo-Oligosaccharide on the Gut Microbiota of Patients With Ulcerative Colitis in Clinical Remission

Gut microbiota dysbiosis is closely associated with ulcerative colitis (UC). Prebiotic therapy is a potential approach for UC management especially remission maintaining. Xylo-oligosaccharide (XOS) is an efficient prebiotic with proven health benefits and few side effects. However, the effects of XOS on the gut microbiota of patients with UC have not been investigated previously. The aim of this study was to evaluate the prebiotic effects of XOS on the fecal microbiota of patients with UC in clinical remission using an in vitro fermentation model. Five patients with UC in clinical remission and five healthy volunteers were enrolled in this study. Fresh fecal samples of UC patients were diluted and inoculated in yeast extract, casitone and fatty acid (YCFA) medium alone or with XOS. After fermentation for 48 h, samples were collected for 16S rDNA sequencing to investigate the gut microbiota composition. Differences in the gut microbiota between healthy volunteers and UC patients in clinical remission were detected using original fecal samples. Subsequently, the differences between the YCFA medium alone or with XOS samples were analyzed to illustrate the effects of XOS on the gut microbiota of UC patients. In both principal coordinate analysis (PCoA) and principal component analysis (PCA), the fecal samples of UC patients differed from those of healthy volunteers. Linear discriminant analysis effect size (LEfSe) analysis revealed that the relative abundances of g_Roseburia and g_Lachnospiraceae_ND3007_group were higher in healthy volunteers than in UC patients, while o_Lactobacillales abundance showed the opposite trend (P < 0.05). Wilcoxon rank-sum test bar plot showed that the abundances of g_Eubacterium_halli_group and g_Lachnospiraceae_ND3007_group were higher in the healthy volunteers than in the UC patients (P < 0.05). In addition, in UC patients, the Wilcoxon rank-sum test showed that XOS fermentation promoted the growth of bacterial groups including g_Roseburia, g_Bifidobacterium, and g_Lactobacillus, which is beneficial for recovery of intestinal diseases. These results suggest that XOS can relieve dysbiosis in the feces of UC patients in clinical remission and thus represent a potential prebiotic material for maintaining remission.

Emergency Department Crowding is Harder to Solve: The Impact of COVID-19 of Longer Length of Stay

Objectives To determine the impact of the Coronavirus disease-2019 (COVID-19) pandemic on the length of stay (LOS) and prognosis of patients in the emergency department (ED). Methods A retrospective review of case data of patients in the ED during the early stages of the COVID-19 pandemic in the First Affiliated Hospital of Soochow University (January 15, 2020– January 14, 2021) was performed and compared with that during the pre-COVID-19 period (January 15, 2019 – January 14, 2020). Patient information including age, sex, length of stay, and death was collected. Wilcoxon Rank sum test was utilized to compare the difference in LOS between the two cohorts. Chi-Squared test was utilized to analyze the prognosis of patients. The LOS and prognosis in different departments (emergency internal medicine, emergency surgery, emergency neurology, and other departments) were further analyzed. Results Of the total 8278 patients, 4159 (50.24%) were ordered in the COVID-19 pandemic group and 4119 (49.76%) were ordered in the pre-COVID-19 group. The length of stay prolongs significantly in the COVID-19 group compared with that in the pre-COVID-19 group(13h vs 9.8h; p < 0.001). There was no significant difference in mortality between the two cohorts (4.8% VS 5.3%; p=0.341). Conclusion The COVID-19 pandemic was associated with a significant increase in the length of stay, which may lead to emergency department crowding. And the influence of the COVID-19 pandemic on patients in different emergency departments is different. There is no significant impact on the LOS of emergency neuropathy. Across departments, COVID-19 didn’t have a significant impact on the prognosis of ED patients.

The impact of COVID-19 pandemic course in the number and severity of hospitalizations for other natural causes in a large urban center in Brazil

The COVID-19 pandemic may indirectly impact hospitalizations for other natural causes. Belo Horizonte is a city with 2.5 million inhabitants in Brazil, one of the most hardly-hit countries by the pandemic, where local authorities monitored hospitalizations daily to guide regulatory measures. In an ecological, time-series study, we investigated how the pandemic impacted the number and severity of public hospitalizations by other natural causes in the city, during 2020. We assessed the number and proportion of intensive care unit (ICU) admissions and in-hospital deaths for all-natural causes, COVID-19, non-COVID-19 natural causes, and four disease groups: infectious, respiratory, cardiovascular, and neoplasms. Observed data from epidemiological week (EW) 9 (first diagnosis of COVID-19) to EW 48, 2020, was compared to the mean for the same EW of 2015–2019 and differences were tested by Wilcoxon rank-sum test. The five-week moving averages of the studied variables in 2020 were compared to that of 2015–2019 to describe the influence of regulatory measures on the indicators. During the studied period, there was 54,722 hospitalizations by non-COVID-19 natural causes, representing a 28% decline compared to the previous five years (p<0.001). There was a concurrent significant increase in the proportion of ICU admissions and deaths. The greater reductions were simultaneous to the first social distancing decree or occurred in the peak of COVID-19 hospitalizations, suggesting different drivers. Hospitalizations by specific causes decreased significantly, with greater increase in ICU admissions and deaths for infectious, cardiovascular, and respiratory diseases than for neoplasms. While the first reduction may have resulted from avoidance of contact with healthcare facilities, the second reduction may represent competing causes for hospital beds with COVID-19 after reopening of activities. Health policies must include protocols to address hospitalizations by other causes during this or future pandemics, and a plan to face the rebound effect for elective deferred procedures.

Enhanced Slime Mould Algorithm for Multilevel Thresholding Image Segmentation Using Entropy Measures

Image segmentation is a fundamental but essential step in image processing because it dramatically influences posterior image analysis. Multilevel thresholding image segmentation is one of the most popular image segmentation techniques, and many researchers have used meta-heuristic optimization algorithms (MAs) to determine the threshold values. However, MAs have some defects; for example, they are prone to stagnate in local optimal and slow convergence speed. This paper proposes an enhanced slime mould algorithm for global optimization and multilevel thresholding image segmentation, namely ESMA. First, the Levy flight method is used to improve the exploration ability of SMA. Second, quasi opposition-based learning is introduced to enhance the exploitation ability and balance the exploration and exploitation. Then, the superiority of the proposed work ESMA is confirmed concerning the 23 benchmark functions. Afterward, the ESMA is applied in multilevel thresholding image segmentation using minimum cross-entropy as the fitness function. We select eight greyscale images as the benchmark images for testing and compare them with the other classical and state-of-the-art algorithms. Meanwhile, the experimental metrics include the average fitness (mean), standard deviation (Std), peak signal to noise ratio (PSNR), structure similarity index (SSIM), feature similarity index (FSIM), and Wilcoxon rank-sum test, which is utilized to evaluate the quality of segmentation. Experimental results demonstrated that ESMA is superior to other algorithms and can provide higher segmentation accuracy.

Characteristics of Intestinal Flora in Pregnant Women with Mild Thalassemia Revealed by Metagenomics

Background: At present, there is no report that the intestinal flora of pregnant women with mild thalassemia is different from that of healthy pregnant women. Objectives: This study compared the composition and changes of the intestinal flora of pregnant women with mild thalassemia to those of healthy pregnant women using metagenomic sequencing technology and evaluated the potential microecological risk for pregnant women and the fetus. Methods: The present study was carried out on 14 mild thalassemia pregnant women with similar backgrounds in the Affiliated Hospital of Putian University, Fujian, China. In the same period, 6 healthy pregnant women were selected as the control group. The genomic deoxyribonucleic acid was extracted from the sable stool samples of pregnant women. Illumina HiSeq sequencing technology was adopted after library preparation. Prodigal software (ver 2.6.3, Salmon software (ver 1.6.0, and Kraken software (ver 2) were used to analyze the sequence data. Moreover, analysis of variance and Duncan’s multiple-comparison test or Wilcoxon rank-sum test were used as statistical methods. Results: The characteristics of the intestinal flora of pregnant women with mild thalassemia differed significantly from those of healthy pregnant women, showing an increase in some conditionally pathogenic bacteria (e.g., Prevotella stercorea rose and Escherichia coli) and a decrease in some probiotic bacteria, which might affect pregnant women and cause physiological function damage to their offspring by changing metabolic pathways; however, further validation is needed. Conclusions: The diversity and composition of intestinal flora in pregnant women with mild thalassemia vary significantly from those in healthy pregnant women, especially at the genus and species levels, representing more profound alterations in intestinal microecology.

Methotrexate Effectively Controls Ocular Inflammation in Japanese Patients With Non-infectious Uveitis

This single-center retrospective study investigated the clinical characteristics and efficacy of methotrexate (MTX) for the treatment of non-infectious uveitis for more than 6 months at Hiroshima University, from February 2016 to May 2021. Outcome variables included changes in systemic immunosuppressive treatment and intraocular inflammation. Out of 448 patients with non-infectious uveitis, 35 patients (14 male patients and 21 female patients; 65 eyes) treated with MTX for more than 6 months were analyzed. There were 15 patients with anterior uveitis and 20 with posterior and panuveitis. The mean dose of systemic corticosteroids decreased from 12.1 mg/day at baseline to 1.3 mg/day at 6 months and 0.6 mg at 12 months after starting MTX, and approximately 90% of patients were corticosteroid-free at 12 months. The percentage of eyes with inactive uveitis at 6, 12, and 24 months was 49.2%, 59.6%, and 90.0%, respectively. Mean relapse rate score also significantly decreased from 2.88 at baseline to 0.85 at 12 months (p &lt; 0.001). Inflammatory control was achieved with MTX doses of 8–16 mg/week, with a median dose of 12 mg/week. Adverse effects of MTX were observed in 34.3% of patients, and 11.4% required discontinuation; most commonly hepatotoxicity (58.3%), followed by fatigue (25.0%), and hair loss (16.7%). No significant differences were found between the survival curves of patients with anterior uveitis and posterior/panuveitis (Wilcoxon rank-sum test). The percentage of eyes without IOP-lowering eye drops was significantly higher in patients with posterior/panuveitis at 24 months (p = 0.001). Our study suggests that MTX is effective in controlling ocular inflammation for Japanese patients with non-infectious uveitis. Relatively high incidence of MTX-related adverse effects in the Japanese population indicates that careful monitoring and dose adjustments are crucial for the long-term use of this therapy.

A New Moth-Flame Optimization Algorithm for Discounted {0-1} Knapsack Problem

The discounted {0–1} knapsack problem may be a kind of backpack issue with gathering structure and rebate connections among things. A moth-flame optimization algorithm has shown good searchability combined with an effective solution presentation designed for the discounted {0-1} knapsack problem. A new encoding scheme used a shorter length binary vector to help reduce the search domain and speed up the computing time. A greedy repair procedure is used to help the algorithm have fast convergence and reduce the gap between the best-found solution and the optimal solution. The experience results of 30 discounted {0-1} knapsack problem instances are used to evaluate the proposed algorithm. The results demonstrate that the proposed algorithm outperforms the two binary PSO algorithms and the genetic algorithm in solving 30 DKP01 instances. The Wilcoxon rank-sum test is used to support the proposed declarations.

Evaluating Spiral Progression Approach (SPA) in Teaching Science and Mathematics for Junior High Curriculum

The goal of the Spiral Progression Approach (SPA) is that the teaching process will lead to boosting cognitive improvement. This study aimed to evaluate SPA in teaching Science and Mathematics students using the modified post-test only design. The first batch of the K-12 program is the treatment group. In contrast, the last batch under the Basic Education Curriculum is the comparison group. The Wilcoxon rank-sum test was used to determine a significant impact on the students' academic performance. Results showed a significant impact in Biology and Chemistry but not in Integrated Science and Physics. There was also a significant impact in Trigonometry and Statistics but not in Elementary Algebra, Intermediate Algebra, and Plane Geometry. However, the student's academic performance remained below satisfactory in Biology, Chemistry, and Trigonometry, and Statistics. Hence, teachers must be experts in their respective fields and undergo rigorous training to improve their strategies and become globally competitive educators.