Miracle-dz/UniFAR-FTUs huggingface dataset:
Slovenian Parents’ Views on Emergency Remote Schooling during the First Wave of the Covid-19 Pandemic

In early 2020, the whole world was confronted with the emergence of the new SARS-CoV-2 virus. Due to restrictive measures, Slovenia, like most other countries, was forced to close all educational institutions. Teaching and learning shifted from classrooms to an online environment, which was a major challenge for teachers, students and their parents and required a significant amount of adaptation and effort. In May 2020, we conducted a study to investigate parents’ attitudes toward emergency remote schooling. The study included 313 parents of students from the last triad of primary (compulsory) school (Grades 7–9; 12–15 years old), 147 parents of secondary school students (Years 1–3; 15–18 years old) and 35 parents of students in their final (4th) year of secondary school (18–19 years old). Specifically, parents of primary school adolescent children, in particular, reported having the most difficulty coordinating their work and the remote schooling of their child, and they also reported more difficulty motivating their child to complete schoolwork at home than the other two groups of parents did. Parents of secondary school students in Year 4 were most likely to miss personal contact with the teacher and rated emergency remote schooling as more stressful than the other two groups of parents. In general, parents rated emergency remote schooling to be more complicated and difficult than traditional classroom instruction. Most parents agree that such schooling provides students with less knowledge, which is also less consolidated, although they perceived teachers’ remote help for students quite positively. They also believe that online education will become important in the future.
Changes in mammography screening in Ontario and Alberta following national guideline dissemination: an interrupted time series analysis [version 1; peer review: awaiting peer review]

Background: In November 2011, the Canadian Task Force on Preventive Health Care released guidelines for screening women at average breast cancer risk. Weak recommendations (framed using GRADE methodology) were made for screening women aged 50 to 74 years every two to three years, and for not screening women aged 40 to 49 years. Methods: We conducted an interrupted time series analysis using administrative data to examine bilateral mammography use before and after a national guideline dissemination strategy targeting primary care physicians. Women aged 40 to 74 years living in Ontario or Alberta from 30th November 2008 to 30th November 2014 were included. Strata included age, region of residence, neighbourhood income quintile, immigration status, and education level. Open Peer Review Reviewer Status AWAITING PEER REVIEW Any reports and responses or comments on the article can be found at the end of the article. Page 1 of 16 F1000Research 2021, 10:1044 Last updated: 15 OCT 2021
Iris Recognition on Noah Kalina’s Everyday

In January 2000, Noah Kalina began taking a photograph of himself every day – and has continued for more than 20 years. A time-lapse video of his images can be seen online: Everyday . These images, and images from similar projects, provide us with interesting opportunities to explore the effects of time lapse on iris recognition employed on images that were not originally intended for iris recognition. NIST obtained a license from Kalina to use a subset of original, high resolution, digital images in bio-metric studies. This paper is our ﬁrst published analysis of those images. Our license does not permit redistribution of the high resolution images. Iris images were extracted from the visible light, digital, face images and compared using iris recognition algorithms originally designed for near infrared images from purpose built iris cameras. Although the majority of the extracted iris images in this dataset did not provide solid matches, a signiﬁcant fraction did. This demonstrates that iris recognition is possible on iris image pairs from visible light images that were not collected for the purpose of iris recognition. Such capability may be useful in forensic applications.
Impact of Contracted Endodontic Access Cavity on Shaping Ability of Hyflex Electrical Discharge Machining Single File Using Cone Beam Computed Tomography: An Ex Vivo Study

AIM: The aim of the study was to evaluate and compare the effect of different access cavity designs, using cone-beam computed tomography (CBCT), on root canal transportation, and centralization performed on two rooted maxillary premolars. METHODS: Twenty maxillary premolars were randomly divided into two groups. In Group 1, traditional endodontic cavities (TECs) were prepared. In Group 2, contracted endodontic cavities (CECs) were prepared. Mechanical preparation was done by HyFlex electrical discharge machining (EDM) single file in both groups. CBCT imaging was performed pre- and post-root canal preparation for calculations of root canal transportation and centering ability. RESULTS: Data were analyzed using Mann–Whitney U test and Kruskal–Wallis test. For transportation, teeth with CECs showed the statistically significantly highest median amount of transportation, while as for centering ability, results showed no significant difference between both groups. CONCLUSION: Under the conditions of this study, HyFlex EDM prepared canals with different access cavity designs without significant shaping errors. TEC showed less transportation than CEC, while both TEC and CEC had no effect on the file centering ability.
Effect of filter sizes on image classification in CNN: a case study on CFIR10 and Fashion-MNIST datasets

Convolution neural networks (CNN or ConvNet), a deep neural network class inspired by biological processes, are immensely used for image classification or visual imagery. These networks need various parameters or attributes like number of filters, filter size, number of input channels, padding stride and dilation, for doing the required task. In this paper, we focused on the hyperparameter, i.e., filter size. Filter sizes come in various sizes like 3×3, 5×5, and 7×7. We varied the filter sizes and recorded their effects on the models' accuracy. The models' architecture is kept intact and only the filter sizes are varied. This gives a better understanding of the effect of filter sizes on image classification. CIFAR10 and FashionMNIST datasets are used for this study. Experimental results showed the accuracy is inversely proportional to the filter size. The accuracy using 3×3 filters on CIFAR10 and Fashion-MNIST is 73.04% and 93.68%, respectively.
STRENGTH OF ORGANIZATIONAL CULTURE AND PERFORMANCE : STRATEGIC IMPLICATIONS

In the last decade, the concept of a "strong culture" has been in vogue among academicians ([8],[23]) and practitioners. Concerns about the increased complexity and turbulence in the macroenvironment and industry with its potential to increase costs or erode revenues have shifted attention toward the financial viability of wellentrenched values and beliefs (i.e., a "culture"). One line of thinking holds that such strong cultures arc financially viable because they provide direction [8] and reduce the need for explicit control mechanisms such as extensive reports, policies, procedures, and direct supervision [231. In addition, strong cultures provide pathways for executive and rrriddle management decisions by capturing the essence of what has worked well in the past ([19],[23]). Thus, with a reduction in the need for monitoring and guiding, executives are ahle to focus upon the creative task of developing new strategies or rethinking old ones. Similarly, rrriddle managers can devote greater portions of time to increasing the efficiency or innovativeness of processes for which they are responsible. However, despite these advantages, strong cultures made up of values and beliefs which fundamentally underrrrine the competitive advantage of the firm would be undesirable. For example, where a firm derives a distinct advantage from offering superior quality products, a widely held value of short-run profitability through cost containment will, in the long-run, undermine such an advantage. It seems logical that the viability of a strong culture depends on the extent to which it supports the competitive needs of the firm at a particular time. The research focus in this area ought to be directed at first exploring broa.dly the internal and external conditions for a firm which necessitate a strong or weak culture. A second step should delineate the specific recommendations for particular kinds of firms and industries. While much culture research to date has concentrated on content issues such as Martin and Siehl's [17] exposition of core values (such as respecting authority, fitting in, and being loyal) at General Motors and Barney's [3] "valuable, rare, and imperfectly imitable" cultures, others have paid more attention to cultural strength. Specifically, Peters and Waterman found that better performing companies had "a well defined set of guiding beliefs . " ([23], p. 251). Similarly, Deal and Kennedy [8J
Dynamic Tourism in ASEAN Countries: Do Institutional Indicators Matter?

Tourism is one of the fastest-growing industries. Tourism is able to move the economy forward at the micro-level such as encouraging the informal sector and local potential while at the macro level it can increase currency transactions. In various countries, the tourism sector is able to increase domestic and foreign demands as well as to encourage transportation, hospitality, and manufacturing industries. This study examines the effect of institutional indicators on tourism in ASEAN countries during 2000-2018 under dynamic panel estimation. The number of observations was about 180, namely: time series from 2000-2018 and cross-section of 10 countries. ASEAN as one of the destinations in the world requires an increase in institutional quality to be able to compete and provide world-class tourism services. The six institutional indicators were employed such as voice and accountability, political stability and absence of violence, government effectiveness, regulatory quality, rule of law, and control of corruption. Moreover, the dynamic panel estimation was expressed by Pooled OLS and REM estimations. Interestingly, the findings show that political stability compromises the number of tourist arrivals while government effectiveness can stimulate tourist arrivals. Similarly, GDP per capita can hinder the number of tourist arrivals, while the exchange rate leads increasing of tourism arrivals. Thus, the governments in ASEAN countries can promote and cooperate together to develop tourism in the regional level. The GDP per capita of ASEAN countries should be increased, and the level of exchange rate can be maintained at a stable range. Besides, the governments should also improve the quality of institutions.
Cryptosporidium and Rotavirus Diarrhoea in Children under the Age of Five Years in FCT Abuja, Nigeria

Introduction: Diarrhoea is the second leading cause of death among children, and Nigeria has the continent's highest mortality with little information on the specific cause, proportion affected by Cryptosporidium and Rotavirus, and the prevalent genotypes for Rotavirus. Aim: To identify children with diarrhoea, in Abuja in the Federal Capital Territory; to estimate the proportion of children with Cryptosporidium and rotavirus diarrhoea. Study Design: One-year cross-sectional study of children under five years with acute diarrhea. Duration: The study was conducted in Abuja from June 2018 to May 2019. Methodology: Cryptosporidium and Rotavirus ELISA were done with commercially available kits. Results: Stool samples were collected from 1450 participants, of whom 1185 (81.7%) were ambulatory, 109 (7.5%) were hospitalized, and 156 (10.7%) were controls without diarrhoea. Cryptosporidium-ELISA was positive among 274 (21.1%) children with diarrhoea and 23 (1.7%) of children without diarrhoea, with August and September as peak months for infection. Rotavirus-ELISA was positive among 231 (17.8%) children with diarrhoea and 29 (2.2%) controls, with November, December, and January as peak months. Children of 12 to 17 months were most affected for both and Rotavirus (39.8%) and Cryptosporidium (37.2%). Conclusion: Cryptosporidium and Rotavirus are essential pathogens in children, especially among Rotavirus unvaccinated children in Abuja. Local and national infrastructure is inadequate for essential surveillance of diarrhoeal disease, and this will have to be improved, together with access to virological and parasitic stool testing, to monitor the planned vaccine program, especially for Rotavirus.
The role of microbiota in epithelial ovarian cancer: a scoping review

Objective: The objective of this review was to examine the comprehensive role of microbiota in epithelial ovarian carcinogenesis. Methods: A scoping review method was used, and relevant databases were searched using combinations of key terms. Human and animal studies were selected that met inclusion criteria and critical appraisal tools were used to assess study quality. Results: A total of 10 international studies (human n = 8; animal n = 2) were included with total samples sizes varying from 16 to 580. Mean/median ages of women with epithelial ovarian cancer (EOC) were 50.5 to 66 years, and controls were 47.3 to 56 years. Compared to the ovaries and fallopian tubes of women without disease, tissue collected from women with EOC were characterized by differing proportions of bacterial phyla including Actinobacteria, Bacteroidetes, Chlamydiae, Firmicutes, and Proteobacteria. Intestinal depletions and reduced diversity of genera Lactobacillus accelerated ovarian tumor growth in animal models. Cytomegalovirus and human papillomavirus types 6, 16, 18, and 45 had a significantly higher prevalence in women with disease and represented up to 70% of cases with high-grade serous ovarian carcinoma. Colonized bacteria were detected in fallopian tubes, peritoneal fluid, and ovarian tissue similar to that of commensal GI tract and vaginal bacteria. Conclusion: The EOC microenvironment harbors diverse microbes. Due to the heterogeneity of microbiota identified between studies, additional research is needed to reconcile findings and ascertain clinical applicability. Future investigations should also examine potential associations between EOC tumor, gut, and vaginal microbiota, patient symptoms throughout disease, chemotherapy response, recurrence, and survival.
Health-related quality of life and psychosocial factors after radical prostatectomy

Universidade Federal de Goiás, Goiânia, GO, Brazil. Universidade Federal de São Carlos, São Carlos, SP, Brazil. Confl icts of interest: The author(s) declare(s) that there is no confl ict of interest regarding the publication of this article. Abstract Objective: To investigate quality of life and its correlations with psychosocial factors (anxiety, depression and low self-esteem) in men who underwent prostatectomy. Methods: A descriptive, correlational study with 85 men who underwent radical prostatectomy at least three months and at most fi ve years prior to the survey. The instruments used were the European Organization for Research and Treatment of CancerQLQ C30, the European Organization for Research and Treatment of Cancer “Prostate Cancer” 25 items EORTC QLQ-PR25; the Rosenberg Self-Esteem Scale and the Hospital Anxiety and Depression Scale. Results: Participants showed impairment of quality of life associated with impairment of sexual function and presence of urinary symptoms. There was a correlation between the psychosocial aspects and some quality of life assessment scales, mainly the functional and symptom scales. Conclusion: It was shown that radical prostatectomy causes impairment in the quality of life of men, requiring care from health professionals to minimize the effects of the most common complications. Educational interventions and multi-professional support based on a better understanding of the physical and psychosocial implications are recommended to help improve the quality of life of men after radical prostatectomy.
Risk of respiratory depression at use of nitrous oxide on individuals with cerebral palsy: a clinical trial

The dental care for individuals with cerebral palsy (CP) often result in the referral of patients for general anesthesia. Conscious sedation with nitrous oxide (N2O) could be an alternative resource, from a behavioral and physiological point of view, and could favor dental care in an outpatient setting. This study aimed to evaluate the influence of conscious sedation with N2O on respiratory rate (RR) and oxygen saturation (SpO2) in the dental treatment of individuals with CP. Seventy-seven patients with CP, over 3 years old, regardless of gender and ethnicity, were evaluated with the measurement of N2O titration, RR and SpO2 in four moments: initial, 5 minutes after sedation, 10 minutes after anesthesia and 5 minutes after removal of the N2O. Student's t test and ANOVA F were used, with a significance level of 5%. The variation in N2O titration did not generate significant variation in RR (p = 0.122). There was a significant difference in SpO2 between T1 and other times. It can be said that conscious sedation is not influenced by N2O titration, does not cause respiratory depression or any clinically significant change in SpO2, confirming the safety of use in an outpatient setting.
Dentoskeletal effects of Twin Block appliance in patients with Class II malocclusion

Background and aim Class II malocclusions are most commonly seen in orthodontic practice and in the recent times Twin Block appliance has been the most popular and widely used among removable functional appliances for the correction of Class II malocclusion in growing patients. The aim of this retrospective study was to evaluate the dentoskeletal effects produced by the Twin Block appliance for the correction of Class II division 1 malocclusion with retrognathic mandible. Methods Pre-treatment (T1) and post-treatment (T2) lateral cephalograms of 30 patients treated with Twin Block appliance (mean age = 10.8 ± 1.2 years) for the correction of class II division 1 malocclusion were compared with the 30 untreated class II control patients (mean age 11.2 ± 0.8 years) who did not undergo any treatment during this period. Both the groups were evaluated for the dentoskeletal changes using 24 angular and linear cephalometric measurements. The differences between the pre and post-treatment were calculated using a paired t-test. Results The cephalometric analysis revealed that the Twin Block appliance stimulated mandibular growth and statistically significant differences were found between the two groups. Twin Block patients showed a statistically very high significant (p<0.001) increase in mandibular length (6.02 mm) compared with the control group (0.3 mm). “Headgear effect” on the maxilla, increase in lower anterior facial height, significant reduction of overjet, overbite and Class I molar relationship were achieved in the Twin Block group. However, no significant changes appeared in the control group. Conclusion The results of the present study conclude that the Twin Block appliance is effective in the treatment of Class II malocclusion and this is due to a combination of skeletal and dentoalveolar changes in both the arches.
Review of Pharmacological Properties, Phytochemistry and Medicinal uses of Volkameria glabra -

Volkameria glabra (E. Mey.) Mabb. & Y.W. Yuan is a deciduous shrub or a small tree widely used as traditional medicine throughout its distributional range in tropical Africa. This study is aimed at providing a critical review of pharmacological properties, phytochemistry, and medicinal uses of V. glabra. Documented information on pharmacological properties, phytochemistry and medicinal uses of V. glabra was collected from several online sources such as Scopus, Google Scholar, PubMed and Science Direct, and pre-electronic sources such as book chapters, books, journal articles and scientific publications obtained from the university library. This study revealed that the bark, leaf and root infusion and/or decoction of V. glabra are mainly used as immune booster, protective charm, anthelmintic and ethnoveterinary medicine, and traditional medicine for convulsions, fractured bones, fever, wounds, gastro-intestinal problems, snake bite and respiratory diseases. Phytochemical compounds identified from the species include aliphatic glycosides, anthraquinones, cardiac glycosides, flavonoids, iridoid, phenols, saponins, steroids, tannins and triterpenoids. The V. glabra and compounds isolated from the species exhibited acaricidal, anthelmintic, antibacterial, antifungal, antimycobacterial, anti-collagenase, antidiabetic, anti-elastase, anti-inflammatory, antileishmanial, antioxidant, antiplasmodial, antipyretic, cholinesterase enzyme inhibition, immune-stimulant and cytotoxicity activities. Volkameria glabra should be subjected to detailed phytochemical, pharmacological and toxicological evaluations aimed at correlating its medicinal uses with its phytochemistry and pharmacological activities.
Brain predictors of fatigue in rheumatoid arthritis: A machine learning study

Background: Fatigue is a common and burdensome symptom in Rheumatoid Arthritis (RA), yet is poorly understood. Currently, clinicians rely solely on fatigue questionnaires, which are inherently subjective measures. For the effective development of future therapies and stratification, it is of vital importance to identify biomarkers of fatigue. In this study, we identify brain differences between RA patients who improved and did not improve their levels of fatigue, and we compared the performance of different classifiers to distinguish between these samples at baseline. Methods: Fifty-four fatigued RA patients underwent a magnetic resonance (MR) scan at baseline and 6 months later. At 6 months we identified those whose fatigue levels improved and those for whom it did not. More than 900 brain features across three data sets were assessed as potential predictors of fatigue improvement. These data sets included clinical, structural MRI (sMRI) and diffusion tensor imaging (DTI) data. A genetic algorithm was used for feature selection. Three classifiers were employed in the discrimination of improvers and non-improvers of fatigue: a Least Square Linear Discriminant (LSLD), a linear Support Vector Machine (SVM) and a SVM with Radial Basis Function kernel. Results: The highest accuracy (67.9%) was achieved with the sMRI set, followed by the DTI set (63.8%), whereas classification performance using clinical features was at the chance level. The mean curvature of the left superior temporal sulcus was most strongly selected during the feature selection step, followed by the surface are of the right frontal pole and the surface area of the left banks of the superior temporal sulcus. Conclusions: The results presented in this study evidence a superiority of brain metrics over clinical metrics in predicting fatigue changes. Further exploration of these methods may enable clinicians to triage patients towards the most appropriate fatigue alleviating therapies.