Miracle-dz/UniFAR-FTUs huggingface dataset:
Celecoxib Microparticles for Inhalation in COVID-19-Related Acute Respiratory Distress Syndrome

Inhalation therapy is gaining increasing attention for the delivery of drugs destined to treat respiratory disorders associated with cytokine storms, such as COVID-19. The pathogenesis of COVID-19 includes an inflammatory storm with the release of cytokines from macrophages, which may be treated with anti-inflammatory drugs as celecoxib (CXB). For this, CXB-loaded PLGA microparticles (MPs) for inhaled therapy and that are able to be internalized by alveolar macrophages, were developed. MPs were prepared with 5% and 10% initial percentages of CXB (MP-C1 and MP-C2). For both systems, the mean particle size was around 5 µm, which was adequate for macrophage uptake, and the mean encapsulation efficiency was >89%. The in vitro release of CXB was prolonged for more than 40 and 70 days, respectively. The uptake of fluorescein-loaded PLGA MPs by the RAW 264.7 macrophage cell line was evidenced by flow cytometry, fluorescence microscopy and confocal microscopy. CXB-loaded PLGA MPs did not produce cytotoxicity at the concentrations assayed. The anti-inflammatory activity of CXB (encapsulated and in solution) was evaluated by determining the IL-1, IL-6 and TNF-α levels at 24 h and 72 h in RAW 264.7 macrophages, resulting in a higher degree of reduction in the expression of inflammatory mediators for CXB in solution. A potent degree of gene expression reduction was obtained with the developed CXB-loaded MPs.
Seeking pathways for sustainable urban tourism: a critical deconstruction of Berlin's approach for city-compatible tourism

ABSTRACT This article explores the current dynamics in the policy field of urban tourism and new approaches to sustainable urban tourism that have emerged after years of growing tensions and controversial debates in the pre-COVID 19 era. By using a critical interpretive approach of a discourse-based deconstruction, the case of Berlin and its novel approach of ‘city-compatible tourism’ are used to analyse how, in the context of a proclaimed policy change, an expansion of the understanding of urban tourism and its possible modes of regulation is taking place. It illustrates how different ideas and conceptions from different discursive knowledge formations converge, promising an innovative policy approach but with some inconsistencies, leading to a diffuse policy discourse on sustainable urban tourism. By underlining the generally complex nature of implementing the concept of sustainable tourism, the paper finally argues that a more profound negotiation of the essential goals and principles of sustainable tourism in an urban context is necessary to initiate a fundamental change in policy practice.
Electrothermally And Electrostatically Tunable Bridge Resonators

—This paper demonstrates experimentally, theoretically, and numerically, for the first time, a wide-range tunability of an in-plane clamped-clamped microbeam, bridge, resonator actuated electrothermally and electrostatically. Using both actuation methods, we demonstrate that a single resonator can be operated at a wide range of frequencies. The microbeam is actuated electrothermally, by passing a DC current through it, and electrostatically by applying a DC polarization voltage between the microbeam and the stationary electrode. We show that when increasing the electrothermal voltage, the compressive stress inside the microbeam increases, which leads eventually to its buckling. Before buckling, the fundamental frequency decreases until it drops to very low values, almost to zero. After buckling, the fundamental frequency increases, which is shown to be as high as twice the original resonance frequency. Adding a DC bias changes the qualitative nature of the tunability both before and after buckling, which adds another independent way of tuning. This reduces the dip before buckling, and can eliminate it if desired, and further increases the fundamental frequency after buckling. Analytical results based on the Galerkin discretization of the Euler Bernoulli beam theory are generated and compared to the experimental data and to simulation results of a multi-physics finite-element model. A good agreement is found among all the results.
SAASPORT MODEL: EXPLORING PROTOCOL PORTABILITY, RESOURCE ELASTICITY AND MICROSERVICE ARCHITECTURE IN THE EFFICIENT EXECUTION OF IOT APPLICATIONS

Despite the high growth of the Internet of Things and the multitude of applications that use the information generated, it is estimated that 90 % of these data are not yet fully used. This is because IoT systems are based on heterogeneous networks and devices with resource restrictions, which cannot execute significant processing. So one of the alternatives that have been addressed is the use of cloud applications, where the data can be appropriately processed, stored, and analyzed. In the cloud, applications can then employ resource elasticity and be developed in microservice architectures. In state-of-the-art, the main efforts to provide portability and efficient treatment of IoT applications are described. However, a platform that provides protocol portability, resource elasticity using microservices architecture for the efficient execution of IoT applications has not yet been implemented. In this context, this work presents SaaSport, which among its contributions, will allow the efficient treatment of data generated by IoT devices that use the MQTT and CoAP protocols. The final result of this work demonstrates that the model provides an efficient treatment of the data generated in IoT environments.
Examination of Mathematical Errors and Mistakes in Calculus Course

This study was conducted to identify mathematical errors and mistakes made by preservice elementary mathematics teachers in the calculus course. To that end, the document analysis method of qualitative research models was used in the research. The sample of the research included a total of 75 preservice teachers who were attending the Department of Elementary Mathematics Education in the Faculty of Education at a public university and taking the calculus I course during the fall term of 2016-2017 academic year. Accordingly, written documents including the participant preservice teachers’ papers of interim exams, practice exams, and general exams constituted the data source. The exam papers were scanned with a scanner and transformed into the electronic environment. A content analysis was performed with the data by using MAXQDA 12 qualitative data analysis program, and “data coding” of data analysis techniques was utilized. It was concluded that the preservice teachers made procedural and conceptual errors and mistakes, mathematical errors and mistakes such as recalling generalizations incompletely or incorrectly. Some recommendations were made in light of these results. this development and Thus, this aimed to identify mathematical errors and mistakes made by preservice elementary mathematics teachers in the calculus course. The following main research problem was asked to that end: mathematical errors and mistakes are made by preservice elementary mathematics teachers in calculus course? ”
Testing for Dihydropyrimidine Dehydrogenase Deficiency to Individualize 5-Fluorouracil Therapy

Simple Summary 5-Fluorouracil (5-FU) is a chemotherapy drug that is commonly used to treat multiple cancers. Many people who are treated with 5-FU experience severe toxicity to the drug, and in severe cases, patients can die. This review discusses current methods for identifying people who are at high risk for severe side effects to 5-FU therapy. Abstract Severe adverse events (toxicity) related to the use of the commonly used chemotherapeutic drug 5-fluorouracil (5-FU) affect one in three patients and are the primary reason cited for premature discontinuation of therapy. Deficiency of the 5-FU catabolic enzyme dihydropyrimidine dehydrogenase (DPD, encoded by DPYD) has been recognized for the past 3 decades as a pharmacogenetic syndrome associated with high risk of 5-FU toxicity. An appreciable fraction of patients with DPD deficiency that receive 5-FU-based chemotherapy die as a result of toxicity. In this manuscript, we review recent progress in identifying actionable markers of DPD deficiency and the current status of integrating those markers into the clinical decision-making process. The limitations of currently available tests, as well as the regulatory status of pre-therapeutic DPYD testing, are also discussed.
What Factors Influence Children's Creative Artistic Orientation? The Novel
 Children's Creative Orientation Test: Artistic

Creative orientation is the extent to which different individuals are drawn toward creative activities (e.g., art, music). We know relatively little about child-level creative orientation given certain testing limitations. Adult tools often measure time spent engaged in creative pursuits, but this method is unsuitable for children because their free time is often dictated by parents. To overcome this, we devised an entirely novel measure of creative orientation, the Children’s Creative Orientation Test: Artistic (C-COT: Artistic ). This short task, suitable for children as young as 6, elicits children’s creative urges toward artistic pursuits independently of parental inﬂuence and provides quantitative scoring. We applied our measure to over 3000 children aged 6 – 10 years, where it showed robust reliability, suggesting that creative orientation is a stable trait over time. We show that creative orientation is also inﬂuenced by classroom cohort, age, and gender but is unaffected by socio-economic status or seasonal changes (autumn vs. spring testing). We showed too that creative ori- entation converges with creative thinking (divergent thinking), creative personality (openness to experiences, especially the aesthetics subtrait), and creative engagements in the home. We present our test here in full, as a simple, fast, and robust measure of creative artistic orientation in children.
Link to session: Turning literacy tutoring into virtual tutoring

Abstract The COVID-19 pandemic forced universities to quickly move instruction online. Faced with a remote-only mandate, this case study describes a virtual literacy tutoring field placement completed by teacher candidates (TCs) in an elementary education program. While in-person teaching remained their preferences, TCs felt the virtual tutoring experience was positive and helped develop their teaching skills. Instructors observed varying levels of multimodal integration; however, all TCs maintained student engagement and built their online literacy repertoires. Challenges were both foreseen (e.g., technical issues) and beyond TCs’ control (e.g., power outages). Distractions in students’ homes proved to be the greatest challenge.
A Qualitative Analysis of Self-Determination and Psychological Adjustment of Syrian Refugees in Turkey: Teachers' Perspective

This qualitative research explored Syrian refugees’ self-determination and psychosocial adjustment in Turkey and teachers’ experience working with refugees. Data were collected through semi-structured interviews from 12 vocational and language teachers (M age = 34.27, SD age = 4.94) who had an average of 9.58-year teaching experience and at least one year of teaching Syrian forcibly displaced people and refugees. The content analysis revealed three overarching themes: i) the needs for autonomy, competence and relatedness facilitate refugees’ adjustment in dealing with resettlement stressors; ii) trauma experience interferes with refugees’ adjustment; iii) working with refugees transforms teachers to become more tolerant, resilient, patriotic, sensitive to diversity, and grateful for their relationships. The findings may stimulate psychosocial interventions and policies that would mitigate contextual barriers as well as create an inclusive psychosocial environment. Refugees are likely to benefıt from a nurturing environment and teachers are likely to benefit from trainings focusing on trauma informed teaching skills. sensitivity, resilience indirect trauma exposure,
A study of the gratifications sought and obtained through using Enterprise Social Media: an employee perspective

A study of the gratifications sought and obtained through using Enterprise Social Media: an employee perspective Although ESM is widely held to have the potential to improve both collaborative efficiency and to strengthen social ties among employees, around 80% of ESM implementations fail. This study aims to provide a clearer understanding of why some people do use ESM, which in turn can lead to more successful implementations in the future. UGT, Uses and Gratifications Theory was combined with TAM, Technical Adoption Model, hoping to shed some light on what drives users/ usage. The results show that users primarily seek work-related gratifications, mainly faster answers/decisions and less meetings, but they also obtain social gratifications. ESM is almost perceived of as a "search engine", not just to work better and faster, but also to navigate "the network", to interact with people allacross the organization. These insights hopefully improve the probability of successful future implementations, although further research is needed. We recommend using and extending UGT, to identify gratifications sought and obtained at a more granular level.
Prevalence, Virulence and Antimicrobial Resistance of Salmonella Typhimurium in Retail Chicken Meat

Salmonella Typhimurium was isolated from food-borne outbreaks basically. The study pointed to reveal the overall prevalence of Salmonella in retail chicken meat, serotyping of Salmonella isolates to detect Salmonella Typhimurium prevalence in retail chicken meat, antimicrobial susceptibility testing of recovered Salmonella Typhimurium isolates, and stn, hil A, and pef A as virulence genes and bla TEM , bla CTX-M, bla SHV , bla CMY , bla DHA , qnr A, aad A1, tet A and sul 1 as antimicrobial resistance genes. Out of 75 chicken meat samples, Two samples were positively identified as Salmonella with a total prevalence of 2.7 % (2/75). Salmonella isolates were serologically identified as Salmonella enterica serovar Typhimurium . All confirmed Salmonella isolates showed resistance to tetracycline (tetracycline), penicillins (ampicillin), aminoglycoside (gentamycin and streptomycin), sulphonamide (trimethoprim /sulfamethoxazole) and cephalosporins (cefuroxime). In comparison, 50% of the isolates were resistant to cephalosporins (cefotaxime and ceftazidime), nitrofuran (nitrofurantoin), and fluoroquinolones (levofloxacin and ciprofloxacin). Phenotypically, 50% of recovered isolates showed XRD (extensively drug resistance) to eight classes and 50% showed MRD (multidrug resistance). Concerning pef A, stn, and hil A as virulence genes, stn and hil A were detected in all tested Salmonella Typhimurium by 100% (2/2), while pef A was not detected (0/2). Furthermore, all the following antimicrobial resistance genes were detected by 100 % as bla TEM , bla CTX-M and bla SHV , bla CMY , aad A1, tet A, and sul 1. While bla DHA was not detected but qnr A was detected by 50%. In conclusion, raw retail chicken meat is heavily contaminated with XDR Salmonella Typhimurium. Moreover, important virulence factors in the isolates were also present, expanding the scope for public health concerns due to the potential for cross-contamination with other foods and the eating of undercooked poultry.
MULTIPLE CRITERIA DECISION MAKING (MCDM) FOR QUALITY EDUCATION MANAGEMENT IN HIGHER EDUCATION: SYSTEMATIC REVIEW

Systematically this article discusses and reviews the results of previous research on the development of quality education management character. The Multiple Criteria Decision Making (MCDM) determination methodology is widely applied in various domains to search for ratings that support the standard character of things to the contrary and determine the most effective alternative. Multi-criterion decision making (MCDM) is a modeling tool and methodology for dealing with complex engineering problems. About this article is how the matching method is carried out by matching and comparing land characteristics with criteria so that one conclusion is obtained and systematic reviews collect secondary data, conduct research studies challenge ideal educational management. In this context, the quality of higher education must be improved and optimized.
Have We Solved Edge Detection? A Review of State-of-the-Art Datasets and DNN Based Techniques

Recent Deep Neural Networks (DNNs) based edge detection methods claim to beat human performance on small scale datasets like BSDS500. But is the problem of edge detection really solved? To answer this question, we review the existing dataset limitations as well as the generalization capabilities of the proposed architectures. To this end, we develop a Synthetic Textured Masks Dataset (STMD) that contains 28,000 grayscale images. The performance of several edge detection methods is severely degraded on STMD. To further validate these results we propose a baseline Single Scale Feed Forward Edge Detector (SFED), which is a simple 9-layer feed-forward convolutional neural network with no pooling layers. The performance of SFED is better than most state-of-the-art architectures on BSDS500 and is superior to all the compared architectures on STMD. These results show that most of the architectural advancements of existing architectures are at the cost of generalizability where if we change the dataset set distribution (both training and testset), the performance becomes significantly degraded and therefore the problem of edge detection is still far away from being solved. There are also severe limitations of existing datasets in the field, and STMD provides a framework for designing and testing better edge detection architectures for novel application areas, such as, medical imaging and self-driving cars.
Research on Application of FMECA in Missile Equipment Maintenance Decision

Fault mode effects and criticality analysis (FMECA) is a method widely used in engineering. Studying the application of FMEA technology in military equipment maintenance decision-making, can help us build a better equipment maintenance support system, and increase the using efficiency of weapons and equipment. Through Failure Modes, Effects and Criticality Analysis (FMECA) of equipment, known and potential failure modes and their causes are found out, and the influence on the equipment performance, operation success, personnel security are determined. Furthermore, according to the synthetical effects of the severity of effects and the failure probability, possible measures for prevention and correction are put forward. Through replacing or adjusting the corresponding parts, corresponding maintenance strategy is decided for preventive maintenance of equipment, which helps improve the equipment reliability.
Dehydrocorydaline Accelerates Cell Proliferation and Extracellular Matrix Synthesis of TNFα-Treated Human Chondrocytes by Targeting Cox2 through JAK1-STAT3 Signaling Pathway

Osteoarthritis (OA) causes severe degeneration of the meniscus and cartilage layer in the knee and endangers joint integrity and function. In this study, we utilized tumor necrosis factor α (TNFα) to establish in vitro OA models and analyzed the effects of dehydrocorydaline (DHC) on cell proliferation and extracellular matrix (ECM) synthesis in human chondrocytes with TNFα treatment. We found that TNFα treatment significantly reduced cell proliferation and mRNA and protein expression levels of aggrecan and type II collagen, but caused an increase in mRNA and protein expression levels of type I collagen, matrix metalloproteinase 1/13 (MMP1/13), and prostaglandin-endoperoxide synthase 2 (PTGS2, also known as Cox2) in human chondrocytes. DHC significantly promoted the cell activity of normal human chondrocytes without showing cytotoxity. Moreover, 10 and 20 μM DHC clearly restored cell proliferation, inhibited mRNA and protein expression levels of type I collagen, MMP 1/13, and Cox2, and further increased those of aggrecan and type II collagen in the TNFα-treated human chondrocytes. RNA transcriptome sequencing indicated that DHC could improve TNFα-induced metabolic abnormalities and inflammation reactions and inhibit the expression of TNFα-induced inflammatory factors. Furthermore, we found that the JAK1-STAT3 signaling pathway was confirmed to be involved in the regulatory effects of DHC on cell proliferation and ECM metabolism of the TNFα-treated human chondrocytes. Lastly, to explore the effects of DHC in vivo, we established an anterior cruciate ligament transection (ACLT)-stimulated rat OA model and found that DHC administration significantly attenuated OA development, inhibited the enzymatic hydrolysis of ECM, and reduced phosphorylated JAK1 and STAT3 protein expression in vivo after ACLT for 6 weeks. These results suggest that DHC can effectively relieve OA progression, and it has a potential to be utilized for the clinical prevention and therapy of OA as a natural small molecular drug.
Development of an FEM-DEM Model to Investigate Preliminary Compaction of Asphalt Pavements

Variations in pavement density have been widely monitored and investigated, both in laboratory and in field experiments, since the compaction of pavement is so critical to its long-term performance quality. In contrast to field testing, laboratory tests are simpler to produce but less accurate. Destructive drilled samples are used to conduct field testing; however, they are limited in their ability to assess density information at specific areas. The use of computationally aided approaches, such as the Finite Element Method (FEM) and the Discrete Element Method (DEM), in research involving asphalt mixtures is increasing, since these methods simulate and evaluate the characteristics of asphalt mixtures at macroscopic and microscopic scales. Individual particle behavior at the microscopic level cannot be fully represented using the FEM alone, and the computing cost of utilizing the DEM approach alone is prohibitively high. The objective of this work is to simulate the pre-compaction process by using the coupled FEM-DEM approach. In order to investigate the impact of the asphalt mixtures’ gradation, a dense-graded asphalt mixture (AC 11) and a gap graded asphalt mixture (PA 11) were simulated. Different paving speeds (4, 5, and 6 m/min) were applied on the preliminary compaction model of AC 11 to study the effect of the paving speeds on the compaction process. By comparing the angular velocity, which worked as a reference of compaction quality, it was demonstrated that the grade AC 11 asphalt mixtures performed better in the preliminary compaction process compared to the grade PA 11 asphalt mixtures. Moreover, since it has an effect on compaction, paving speed was carefully monitored and kept within a reasonable range in order to maximize both pavement quality and project efficiency.