Miracle-dz/UniFAR-FTUs huggingface dataset:
The use of complementary and alternative medicine among cancer patients in Marrakech during the Covid-19 pandemic

Medicinal plants have been used by the Moroccan population from ancient times. They have an important role in traditional healing practices. Patients use CAM for different purposes and due to several factors, such as low economic and ﬁnancial income and/or cultural and religious beliefs. However, proof of efﬁcacy and safety of the vast majority of traditional and herbal medicine have not been fully established through an evidence-based approach. During the current Covid 19 pandemic, the long-term implementation of national emergency and lockdown measures resulted in difﬁculties accessing healthcare services. Therefore, cancer patients at Hematology and Oncology Hospital of Marrakech showed an increased interest in using traditional herbal medicine. The present study attempts to determine the prevalence and the aim of using each method of CAM by cancer patients during the Covid-19 pandemic in Marrakech.
PENGARUH KONSUMSI CRACKERS KENTANG HITAM (Coleus tuberosus) KAYA RESISTANT STARCH TIPE 3 TERHADAP PROFIL LIPIDA TIKUS YANG MENDERITA HIPERKOLESTEROLEMIA

Penelitian ini bertujuan mengetahui pengaruh konsumsi tepung kentang hitam kaya resistant starch tipe 3 dan crackers kentang hitam pada hewan coba terhadap profil lipida pada hewan coba yang menderita hiperkolesterolemia. Metode penelitian dilakukan dengan analisis profile lipida pada hewan coba yang menderita hiperkolesterolemia. Hasil penelitian menunjukkan bahwa konsumsi crackers kentang hitam dan tepung kentang hitam kaya resistant starch sebagai bahan baku pembuatan crackers dapat menurunkan profil lipida (total kolesterol, trigliserida, LDL) dan meningkatkan kadar HDL pada hewan coba hiperkolesterolemia.
Staphylococcus aureus Causing Skin and Soft Tissue Infections in Companion Animals: Antimicrobial Resistance Profiles and Clonal Lineages

Staphylococcus aureus is a relevant agent of skin and soft tissue infections (SSTIs) in animals. Fifty-five S. aureus comprising all SSTI-related isolates in companion animals, collected between 1999 and 2018 (Lab 1) or 2017 and 2018 (Lab 2), were characterized regarding susceptibility to antibiotics and heavy metals and carriage of antimicrobial resistance determinants. Clonal lineages were established by PFGE, MLST and agr typing. Over half of the isolates (56.4%, 31/55) were methicillin-resistant S. aureus (MRSA), and 14.5% showed a multidrug resistance (MDR) phenotype. Resistance was most frequently observed for beta-lactams (81.8%, related to blaZ and/or mecA), fluoroquinolones (56.4%) and macrolides/lincosamides (14.5%, related to erm(A) or erm(C)). The distributions of heavy-metal MICs allowed the detection of non-wild-type populations associated with several resistance genes. The collection showed genetic diversity, with prevalence of clonal lineage ST22-agrI (45.5%, 25/55), comprising only MRSA isolates, and several less frequently detected clones, including ST5-agrII (14.6%, 8/55), ST398-agrI (9.1%, 5/55) and ST72-agrI (7.3%, 4/55). This work highlights the high frequency of SSTI-related MRSA strains that reflect the clonal lineages circulating both in companion animals and humans in Portugal, reinforcing the need for a One Health approach when studying staphylococci causing infections in companion animals.
Quality factor control for micromechanical resonators

The implementation of very high Q microelectromechanical filters, constructed of spring-coupled or parallel resonators, requires strict control over the quality factor of the constituent resonators. This report details electrostatic feedback techniques which allow precise control of the quality factor of a micromechanical resonator device, independent of the ambient operating pressure of the micromechanical system. Theoretical formulas governing Q-control are derived and experimentally verified. <<ETX>>
Implementing Problem-based Learning in Introductory Engineering Courses: A Qualitative Investigation of Facilitation Strategies

Increasing pressure to transform teaching and learning of engineering is supported by mounting research evidence for the value of learner-centered pedagogies. Despite this evidence, engineering faculty are often unsuccessful in applying such teaching approaches often because they lack the necessary knowledge to customize these pedagogies for their unique contexts. My dissertation study investigated the challenges with facilitation practices in introductory PBL engineering courses and developed a pragmatic researchbased model that provides insights aimed at improving PBL facilitation practices using the Innovation Cycle of Educational Practice and Research (ICEPR) as a lens. The ICEPR is useful for investigating connections between educational practice and research for scholarly and systematic educational innovations. I conducted a three-phase sequential study to address critical gaps in the ICEPR regarding both research on and practice of PBL facilitation in engineering. I focused on identifying challenges in practice, developing a model, and disseminating the model through a typology using multiple qualitative data collection and analysis methods. In Phase 1, I studied a new PBL implementation and identified a challenge with facilitator training specifically with regard to a lack of a pragmatic model of facilitation strategies in engineering. In Phase 2, I investigated the facilitation practices of five facilitators in an established PBL engineering course. This resulted in the Model of PBL Facilitation Strategies for Introductory Engineering Courses (PBL-FIEC), where I specifically operationalized the instructional methods constructs from Collins’ Cognitive Apprenticeship Framework to describe the variety of ways instructors facilitate student learning in PBL introductory engineering courses. The PBL-FIEC includes six methods and 27 strategies ways for instructors to facilitate students’ learning through providing and prompting demonstrations of cognitive and metacognitive processes that emphasize content and process knowledge and different ways of knowing (knowledge, understanding, and reasoning). In Phase 3, I developed a Typology of Facilitation Strategies using PBL-FIEC and observations of instructors to demonstrate how they use and combine facilitation methods. Ultimately, my dissertation research shows how the ICEPR can be used to understand that innovation in educational practice relies on the interaction between researchers and practitioners, while generating a model directly useful for both stakeholders.
A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things

The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6 Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). Limited resources of 6LoWPAN nodes make it challenging to secure the environment, leaving it vulnerable to threats and security attacks. Machine Learning (ML) and Deep Learning (DL) approaches have shown promise as effective and efficient mechanisms for detecting anomalous behaviors in RPL-based 6LoWPAN. Therefore, this paper systematically reviews and critically analyzes the research landscape on ML, DL, and combined ML-DL approaches applied to detect attacks in RPL networks. In addition, this study examined existing datasets designed explicitly for the RPL network. This work collects relevant studies from five major databases: Google Scholar, Springer Link, Scopus, Science Direct, and IEEE Xplore® digital library. Furthermore, 15,543 studies, retrieved from January 2016 to mid-2021, were refined according to the assigned inclusion criteria and designed research questions resulting in 49 studies. Finally, a conclusive discussion highlights the issues and challenges in the existing studies and proposes several future research directions.
Vaccine Ins and Outs: An Exploration of the Legal Issues Raised by Vaccine Passports

In this report five leading experts in health law and medicine at the University of Ottawa examine vaccine passports in the context of Charter rights, privacy rights, and implementation. The paper first explores whether a vaccine passport regime would infringe Charter rights, including mobility rights, rights to liberty and security of the person, freedom of religion and conscience, and rights to equality and non-discrimination. Broadly speaking, the authors conclude that a well-designed vaccine passport regime, backed by an equitable vaccine distribution scheme, will likely withstand a Charter challenge. The paper then turns to an in-depth discussion of privacy issues, first exploring key aspects of privacy compliance in the design of vaccine passports before turning to an analysis of their use conditions. Again, the paper’s broad contention is that privacy issues raised by vaccine passports can be adequately addressed through careful design and regulation. The authors then discuss potential avenues for the implementation of vaccine passports, within the framework of Canadian federalism and its fragmented jurisdiction over healthcare and public health. As part of this discussion, we suggest some broad principles for the design of a vaccine passport regime, arguing that passport gating should be limited to non-essential services, and that wherever feasible, the unvaccinated should be accommodated with rapid testing.
Effects of Inclement Weather Events on Road Surface Conditions and Traffic Safety: An Event-Based Empirical Analysis Framework

Pavement friction has been widely recognized as an important winter road maintenance performance indicator for objectively assessing the level of service required to maintain safe driving conditions during inclement weather events. Despite significant efforts being put forth by road agencies, prevailing road surface conditions during snowstorms can yield negative consequences that compromise the safety of the traveling public. Acknowledging the vast road network that needs to be monitored and the uncertainty associated with the randomness of hazardous road weather conditions, this paper presents a novel event-based framework aimed at investigating the magnitude of the effect of varying pavement friction levels in urban environments on traffic safety during snowstorms. Negative binomial safety performance functions developed using hourly weather datasets and road surface conditions information found a strong statistically significant relationship between pavement friction and traffic safety. This meant that, with the accumulation of snow and ice during snowstorms, road surface conditions were found to deteriorate thereby increasing the likelihood of collision occurrence. The event-based models developed also suggested that the risks of driving during snowstorms varied dramatically depending on the varying surface states, represented by friction coefficient ranges. Collisions were expected to significantly decrease whenever the pavement friction was above 0.6; under conditions where pavement friction was below 0.35, collisions were predicted to significantly increase. Additionally, arterial roads were shown to experience a significantly higher number of collisions than collectors, further justifying why arterials should be prioritized in snow clearing policies that most cities adopt.
Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach

We investigated the development of gross motor coordination (GMC) as well as its predictors in school-aged Azorean children. The sample included 181 children (90 girls), followed consecutively for 4 years from 6 to 9 years of age. GMC was assessed with the Körperkoordinationstest für Kinder, and predictors included body mass index, standing long jump, 50-yard dash, and shuttle run. The changes in GMC and the effects of predictors were analyzed with mean-modeling as well as quantile regression. In the latter, we considered the following three quantiles (Q): Q20, Q50, and Q80 as markers of low, median, and high GMC levels, respectively. All analyses were conducted using R software and alpha was set at 5%. The GMC changes were curvilinear in both models, but the quantile approach showed a more encompassing picture of the changes across the three quantiles in both boys and girls with different rates of change. Further, the predictors had different effect sizes across the quantiles in both sexes, but in the mean-model their effects were constant. In conclusion, quantile regression provides more detailed information and permits a more thorough understanding of changes in GMC over time and the influence of putative predictors.
Wait Times and Survival in Lung Cancer Patients across the Province of Quebec, Canada

Lung cancer is the leading cause of cancer death worldwide, with a five-year survival of 22% in Canada. Guidelines recommend rapid evaluation of patients with suspected lung cancer, but the impact on survival remains unclear. We reviewed medical records of all patients with newly diagnosed lung cancer in four hospital networks across the province of Quebec, Canada, between 1 February and 30 April 2017. Patients were followed for 3 years. Wait times for diagnosis and treatment were collected, and survival analysis using a Cox regression model was conducted. We included 1309 patients, of whom 39% had stage IV non-small cell lung cancer (NSCLC). Median wait times were, in general, significantly shorter in patients with stage III–IV NSCLC or SCLC. Surgery was associated with delays compared to other types of treatments. Median survival was 12.9 (11.1–15.7) months. The multivariate survival model included age, female sex, performance status, histology and stage, treatment, and the time interval between diagnosis and treatment. Longer wait times had a slightly protective to neutral effect on survival, but this was not significant in the stage I–II NSCLC subgroup. Wait times for the diagnosis and treatment of lung cancer were generally within targets. The shorter wait times observed for advanced NSCLC and SCLC might indicate a tendency for clinicians to act quicker on sicker patients. This study did not demonstrate the detrimental effect of longer wait times on survival.
Effects of Magnetic Stimulation on Dental Implant Osseointegration: A Scoping Review

This PRISMA-ScR driven scoping review aims to evaluate the influence of magnetic field stimulation on dental implant osseointegration. Seven databases were screened adopting ad-hoc strings. All clinical and preclinical studies analyzing the effects of magnetic fields on dental implant osseointegration were included. From 3124 initial items, on the basis of the eligibility criteria, 33 articles, regarding both Pulsed ElectroMagnetic Fields (PEMF) and Static magnetic Fields from permanent Magnets (SFM) were finally included and critically analyzed. In vitro studies showed a positive effect of PEMF, but contrasting effects of SFM on bone cell proliferation, whereas cell adhesion and osteogenic differentiation were induced by both types of stimulation. In vivo studies showed an increased bone-to-implant contact rate in different animal models and clinical studies revealed positive effects on implant stability, under magnetic stimulation. In conclusion, although positive effects of magnetic exposure on osteogenesis activity and osseointegration emerged, this scoping review highlighted the need for further preclinical and clinical studies. More standardized designs, accurate choice of stimulation parameters, adequate methods of evaluation of the outcomes, greater sample size and longer follow-ups are needed to clearly assess the effect of magnetic fields on dental implant osseointegration.
Design, Modeling, and Prototyping of a Hydrokinetic Turbine Unit for River Application

1 Chapter 1: Introduction . 3 Motivation. 3 Hydrokinetic Turbines . 4 Hydrokinetic Turbine Types and Components. 4 Actuator Disk Theory. 5 Turbine Design Parameters . 8 Literature Review . 13 Objectives and Outline of Dissertation Work . 15 Chapter 2: Numerical and Mathematical Modeling . 17 Reynolds Averaged Navier-Stokes Flow Model . 17 Absolute Reference Frame . 18 Rotational Reference Frame.20 Turbulence Modeling . 21
Digital Health Apps in the Context of Dementia: Questionnaire Study to Assess the Likelihood of Use Among Physicians

Background Age-related diseases such as dementia are playing an increasingly important role in global population development. Thus, prevention, diagnostics, and interventions require more accessibility, which can be realized through digital health apps. With the app on prescription, Germany made history by being the first country worldwide to offer physicians the possibility to prescribe and reimburse digital health apps as of the end of the year 2020. Objective Considering the lack of knowledge about correlations with the likelihood of use among physicians, this study aimed to address the question of what makes the use of a digital health app by physicians more likely. Methods We developed and validated a novel measurement tool—the Digital Health Compliance Questionnaire (DHCQ)—in an interdisciplinary collaboration of experts to assess the role of proposed factors in the likelihood of using a health app. Therefore, a web-based survey was conducted to evaluate the likelihood of using a digital app called DemPredict to screen for Alzheimer dementia. Within this survey, 5 latent dimensions (acceptance, attitude toward technology, technology experience, payment for time of use, and effort of collection), the dependent variable likelihood of use, and answers to exploratory questions were recorded and tested within directed correlations. Following a non–probability-sampling strategy, the study was completed by 331 physicians from Germany in the German language, of whom 301 (90.9%) fulfilled the study criteria (eg, being in regular contact with patients with dementia). These data were analyzed using a range of statistical methods to validate the dimensions of the DHCQ. Results The DHCQ revealed good test theoretical measures—it showed excellent fit indexes (Tucker-Lewis index=0.98; comparative fit index=0.982; standardized root mean square residual=0.073; root mean square error of approximation=0.037), good internal consistency (Cronbach α=.83), and signs of moderate to large correlations between the DHCQ dimensions and the dependent variable. The correlations between the variables acceptance, attitude toward technology, technology experience, and payment for the time of use and the dependent variable likelihood of use ranged from 0.29 to 0.79, and the correlation between effort of the collection and likelihood of use was −0.80. In addition, we found high levels of skepticism regarding data protection, and the age of the participants was found to be negatively related to their technical experience and attitude toward technology. Conclusions In the context of the results, increased communication between the medical and technology sectors and significantly more awareness raising are recommended to make the use of digital health apps more attractive to physicians as they can be adjusted to their everyday needs. Further research could explore the connection between areas such as adherence on the patient side and its impact on the likelihood of use by physicians.
The long-term fortunes of territories as a route for agri-food policies: evidence from Geographical Indications

Once the EU has perceived the strategic importance of local peculiarities to support rural development and high-quality productions, it has emphasized the need for more place-sensitive agri-food policies. The importance of socio-economic, historical and cultural factors as transfers of intangible value-added is particularly evident in the agri-food sector. Place-blind and sectorial-oriented approaches have indeed not succeeded in dealing with the territorial heterogeneity of agri-food systems. By delving into the longstanding debate on the conceptualizations of territory and focusing on the territories of origin of the most economically performant Italian Protected Designation of Origins (PDOs), this paper empirically investigates what are the contextual conditions that have mainly contributed in the economic success of local productions. Drawing on an original geo-referenced database, the analysis is conducted on a panel of Italian municipalities and exploits non-linear dynamic panel models. Findings point out the heterogeneity of affecting territorial factors. Imbalances come from both socio-economic conditions (food PDOs) and socio-cultural knowledge (wine PDOs). This paper informs the evidence-based debate on the relevance of territorially-sensitive interventions for the future of EU agri-food and rural development policies. In the case of GIs, it should consider being more place-sensitive as well as more integrated with other agricultural and regional policies to meet the EU’s socio-economic objectives.
Effects of dietary methyl sulfonyl methane and selenium on laying performance, egg quality, gut health indicators, and antioxidant capacity of laying hens

Objective This study investigated the effects of dietary methyl sulfonyl methane (MSM) and selenium (Se) on the laying performance, egg quality, gut health indicators, egg yolk Se content, and antioxidant markers in laying hens. Methods One hundred ninety-two 73-wk-old laying hens were randomly divided into four groups with eight replicates of six hens each. Four diets were prepared in a 2×2 factorial arrangement with or without MSM and Se. The trial lasted for 12 wk. Results There were no interaction effects or main effects (p>0.05) on laying performance and egg quality. However, feed intake increased in Se-fed hens (p = 0.051) and decreased in MSM-fed hens (p = 0.067) compared with that of hens in the control group. Dietary MSM increased (p<0.05) the ileal villus height and villus height:crypt ratio in hens compared with those receiving the non-supplemented control diet. Dietary MSM and Se did not affect the percentage of short-chain fatty acids in the ileal contents. Dietary Se enriched the Se content in egg yolk compared with that of the non-supplemented control diet (p<0.05). Dietary Se increased (p<0.05) glutathione peroxidase levels in the liver and serum samples compared to the control diet. The total antioxidant capacity in the liver increased (p<0.05) in laying hens that were fed MSM-supplemented diets than in hens fed the control diet. Dietary MSM significantly increased the relative superoxide dismutase levels in serum samples (p<0.05). Conclusion Supplementation with either MSM or Se independently improved the antioxidant capacity of laying hens. Furthermore, dietary Se produced Se-enriched eggs, but this effect was neither additive nor synergistic with dietary MSM.