Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPLEMENTING BLENDED LEARNING IN A PRAGMATIC CLASS FOR COLLEGE STUDENTS: WHAT MAKES BLENDED LEARNING ENGAGING?

Looking into blended learning practices in a Pragmatic course attended by the English Letters students, this study aims to investigate the performance of that course based on the point of view of cognitive presence and practical online courses. This study has found that teaching online is a complex phenomenon involving multi-facet aspects. Above all, the students mostly find online learning enjoyable if the facilitators can create a triggering situation; facilitate the learning process; be active in giving comments/feedback to the students, and use multi-learning media to deliver instructions.
The Effect of Different Planting Times on Yield and Quality Features in Some Mint Species (Mentha longifolia, Mentha x piperita, Mentha spicata)

This study, which was carried out to determine the effect of planting times (April 15th, May 1st, May 15th) on agricultural properties in the species of Mentha longifolia, Mentha x piperita and Mentha spicata, was conducted in the trial field of Faculty of Agriculture in Ordu University in 2018-2019. In the study, plant height, fresh herb yield, drug herba yield, fresh leaf yield and drug leaf yield, essential oil rate and essential oil yield were investigated. In both trial years, the plantings of April 15 and May 1 generally came to the forefront in terms of the characters examined in all species. Looking at the species, Mentha longifolia took first place in essential oil ratio in both years, Mentha x piperita in all the features examined except for plant height, in the first year, and Mentha spicata in all characters, in the second year.
Diagnostic Accuracy of Bedside Lung Ultrasound in Emergency Protocol for the Diagnosis of Acute Respiratory Failure

Background: The multifactorial etiology of acute respiratory failure (ARF) often complicates diagnosis at an early stage of clinical presentation. Despite being a common life-threatening disorder, accurate and timely diagnosis is hindered by bad quality of bedside radiographs and nonavailability of immediate computed tomography imaging. This study was an attempt to evaluate the diagnostic accuracy of ultrasound in diagnosing ARF. Methods: This hospital-based cross-sectional study investigated the underlying etiological factor in 130 patients presenting with ARF and admitted to the intensive care unit. Lung ultrasound was performed according to the Bedside Lung Ultrasound in Emergency (BLUE) protocol. The diagnostic accuracy of lung ultrasound by emergency protocol was measured against each final diagnosis. Results: The mean age observed was 49.28 ± 14.9 years among the cohort. Of the 130 patients, pneumonia was the most common cause of ARF, seen in 42 patients. Breathlessness (56.15%) and fever accompanied by cough (25.38%) were the chief complaints. Diagnostic accuracy of ultrasound lung emergency protocol was 95.38% in the diagnosis of pulmonary edema, 100% for pneumothorax, 93.85% for pneumonia, 96.92% for chronic obstructive pulmonary disease, 99.23% for pulmonary thromboembolism, and 95.38% for acute respiratory distress syndrome. Conclusion: Lung ultrasound is a reliable modality that provided accurate and timely diagnosis of ARF in this study. Therefore, BLUE protocol is feasible, easily implementable in the intensive care unit, and must be scaled up in respiratory health-care settings.
The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction

The disease may be an explicit status that negatively affects human health. Cardiopathy is one of the common deadly diseases that is attributed to unhealthy human habits compared to alternative diseases. With the help of machine learning (ML) algorithms, heart disease can be noticed in a short time as well as at a low cost. This study adopted four machine learning models, such as random forest (RF), decision tree (DT), AdaBoost (AB), and K-nearest neighbor (KNN), to detect heart disease. A generalized algorithm was constructed to analyze the strength of the relevant factors that contribute to heart disease prediction. The models were evaluated using the datasets Cleveland, Hungary, Switzerland, and Long Beach (CHSLB), and all were collected from Kaggle. Based on the CHSLB dataset, RF, DT, AB, and KNN models predicted an accuracy of 99.03%, 96.10%, 100%, and 100%, respectively. In the case of a single (Cleveland) dataset, only two models, namely RF and KNN, show good accuracy of 93.437% and 97.83%, respectively. Finally, the study used Streamlit, an internet-based cloud hosting platform, to develop a computer-aided smart system for disease prediction. It is expected that the proposed tool together with the ML algorithm will play a key role in diagnosing heart diseases in a very convenient manner. Above all, the study has made a substantial contribution to the computation of strength scores with significant predictors in the prognosis of heart disease.
Understanding the Role of Ethical Leadership and Workplace Conflicts a Mediation Moderation Model: A Time-Lagged Study

Drawing on Social Learning Theory and Conservation of Resource Concept this research mediation moderation model was supported by a study which is conducted from multiple sources and a study conducted in three-waves in Pakistan. Workplace Conflicts and Ethical Leadership ideas are developed and brought together by these results. This exploration inspected the character of Ethical leadership happening in workplace conflict circumstances. Explicitly, ethical leadership remained prophesied on the way to construct members’ resolution efficacy and consequently upsurge members’ capability to agreement through conflict state of affairs (i.e., relationship and task conflicts) concerning in the workplace political scenarios. We gathered information from a variety of sources, including employees and their direct managers in several Pakistani organizations. The current study employed the survey approach. This study shows a negative relationship between ethical leadership and relationship conflict and task conflicts. Moreover, this study also shows, resolution efficacy plays a role as a mediator between Ethical Leadership and relationship conflict as well as task conflicts. Furthermore, shows that Perception of Politics plays a role as a moderator in the relationship between Resolution Efficacy and Relationship Conflicts as well as task conflicts. Ethical leadership activities possibly will improve employee conflict resolution efficacy, implying that concluded the solicitation of ethical leadership social learning philosophies, leaders may be critical in creating a work environment that morally encourages and fosters employees' conflict resolution efficacy.
Evolved Gas Analyses of Sedimentary Rocks From the Glen Torridon Clay‐Bearing Unit, Gale Crater, Mars: Results From the Mars Science Laboratory Sample Analysis at Mars Instrument Suite

Evolved gas analysis (EGA) data from the Sample Analysis at Mars (SAM) instrument suite indicated Fe‐rich smectite, carbonate, oxidized organics, Fe/Mg sulfate, and chloride in sedimentary rocks from the Glen Torridon (GT) region of Gale crater that displayed phyllosilicate spectral signatures from orbit. SAM evolved H2O data indicated that the primary phyllosilicate in all GT samples was an Fe‐rich dioctahedral smectite (e.g., nontronite) with lesser amounts of a phyllosilicate such as mixed layer talc‐serpentine or greenalite‐minnesotaite. CO2 data supported the identification of siderite in several samples, and CO2 and CO data was also consistent with trace oxidized organic compounds such as oxalate salts. SO2 data indicated trace and/or amorphous Fe sulfates in all samples and one sample may contain Fe sulfides. SO2 data points to significant Mg sulfates in two samples, and lesser amounts in several other samples. A lack of evolved O2 indicated the absence of oxychlorine salts and Mn3+/Mn4+ oxides. The lack of, or very minor, evolved NO revealed absent or very trace nitrate/nitrite salts. HCl data suggested chloride salts in GT samples. Constraints from EGA data on mineralogy and chemistry indicated that the environmental history of GT involved alteration with fluids of variable redox potential, chemistry and pH under a range of fluid‐to‐rock ratio conditions. Several of the fluid episodes could have provided habitable environmental conditions and carbon would have been available to any past microbes though the lack of significant N could have been a limiting factor for microbial habitability in the GT region.
Illuminating the Motions of Jupiter's Auroral Dawn Storms

Jupiter's auroral main emission (ME) has long been considered to be the result of currents keeping plasma corotating with the surrounding magnetosphere. As a result, the ME corotates with the planet, and individual auroral features making up the ME roughly follow suit. Jupiter's dawn storms, some of the rarest and brightest auroral features within the ME, are an exception, as they do not corotate but instead remain fixed near local dawn. The causes of this enigmatic motion are not fully understood. To test the significance of this motion, we have developed a process to identify auroral features and measure their degree of corotational motion, including dawn storms, in archival Hubble Space Telescope images of the Jovian ultraviolet aurorae. We compare motions of features inside and outside the dawn sector, characterizing the exact motions of dawn storms and providing context for these motions for the first time. In keeping with previous studies, we expected to identify features fixed near local dawn in 10% of observations; instead, we find that half of all features near local dawn lag corotation. We show that subcorotating dawn emissions are far more common than previously thought, and that the drivers of this motion must be similarly common. Corotational motion must be considered when identifying the processes driving all dawn aurorae, including the dawn storms. We explore the consistency of this result with various theories of dawn ME formation and propose that aspects of the known current system relating to the Sun‐Jupiter geometry can explain this behavior.
Use of complementary and alternative medicine (CAM) in patients with inflammatory bowel disease (IBD): results from a German nationwide survey of 2019 compared to a previous survey of 2002

Abstract Introduction In 2002, 50% of patients with Inflammatory Bowel Disease (IBD) had used complementary and alternative medicine (CAM) in Germany. This survey aimed to examine changes from 2002 to 2019 and predictors of CAM use in 2019. Materials and methods In 2019, a questionnaire was sent randomly to 1000 members of the German Crohn’s Colitis Association, the same sampling strategy was chosen 2002. Items assessed included, demographic characteristics, IBD diagnosis and disease history, medication use, patients’ symptoms/quality of life, anxiety/depression and use of complementary therapies. Results The 2019 sample only differed slightly in case of gender (55% women) and disease (43% Ulcerative Colitis) from the 2002 sample. In 2019, 54% (227/417) reported having ever used CAM and 75% (396/417) planned to use CAM for their IBD in the future, whereby there was an evidence of a decrease in exclusive CAM use from 2002 (28%; 96/344) to 2019 (16%, 37/277; BF<.01). In logistic regression analyses, ulcerative colitis compared to Crohn’s Disease (OR 0.59, p=.005), side effects of standard therapy (OR 1.94, p=.012), the use of corticosteroids (OR 0.54, p=.038) or biologics (OR 1.90, p = .020) and lower quality of life (OR 0.96, p=.002) were associated with CAM use in 2019. Conclusions Every other patient with IBD used CAM and has thus indicated a need for a safe and evidence-based combination of conventional and complementary approaches. This would further support the desired decrease in exclusive -alternative- CAM use.
Habitual Hot-Tub Bathing and Cardiovascular Risk Factors in Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study

Background Several studies suggested that heat therapy, including sauna or hot-tub bathing, was associated with improved glycemia and other risk factors for cardiovascular diseases. This study aimed to assess the influences of the habit of hot-tub bathing on cardiovascular risk factors in patients with type 2 diabetes in a real-world setting. Methods In this cross-sectional study, we enrolled the patients with type 2 diabetes who regularly visited the outpatient clinic between October 2018 and March 2019. We obtained the information on the habit of hot-tub bathing by using a self-reported questionnaire. The results of anthropometric measurements, blood tests and medications were obtained from the medical charts. We divided the patients into three groups according to the frequency of hot-tub bathing as follows; group 1: ≥ 4 times a week, group 2: < 4 times a week, ≥ 1 time a week, group 3: < 1 time a week. The biomarkers were compared among the groups by one-way analysis of variance. Multiple linear regression analyses were performed to adjust for confounding variables. Results We enrolled 1,297 patients. There were significant differences in body mass index (group1: 25.5 ± 5.0, group 2: 26.0 ± 5.4, group 3: 26.7 ± 6.0, P = 0.025), diastolic blood pressure (73 ± 12, 75 ± 12, 77 ± 13, P = 0.001) and hemoglobin A1c (7.10 ± 0.97, 7.20 ± 1.11, 7.36 ± 1.67, P = 0.012). Multiple regression analysis revealed that the frequency of hot-tub bathing was a significant determinant of hemoglobin A1c, body mass index and diastolic blood pressure. Conclusions In this real-world study, habitual hot-tub bathing was associated with slight improvements in glycemia, obesity and diastolic blood pressure, and thus, can be a possible lifestyle intervention in patients with type 2 diabetes.
Prevalence and Prognostic Role of IDH Mutations in Acute Myeloid Leukemia: Results of the GIMEMA AML1516 Protocol

Simple Summary IDH1/2 mutations are a common event in acute myeloid leukemia (AML) and represent a therapeutic target. We designed the GIMEMA AML1516 observational protocol to examine the prevalence of IDH1/2 mutations and the associations between IDH mutations and clinico-biological parameters in a cohort of Italian patients affected by AML. By analyzing 284 consecutive adult AML patients, we confirmed that IDH1 and IDH2 mutations are frequently detected–14% and 18%, respectively–at diagnosis. IDH1/2 mutations were significantly associated with an inferior performance status and non-complex karyotype when compared to IDH1/2-WT. With regards to the outcome, in the subset of IDH1/2-mutated patients the rate of complete remission achievement was 60.5% and overall survival at 2 years was 44.5%: these percentages did not significantly differ from IDH1/2-WT patients. However, given the availability of IDH1/2 inhibitors, it is important to recognize IDH1/2-mutated cases up-front to offer patients the most appropriate therapeutic strategy. Abstract IDH1/2 mutations are common in acute myeloid leukemia (AML) and represent a therapeutic target. The GIMEMA AML1516 observational protocol was designed to study the prevalence of IDH1/2 mutations and associations with clinico-biological parameters in a cohort of Italian AML patients. We analyzed a cohort of 284 AML consecutive patients at diagnosis, 139 females and 145 males, of a median age of 65 years (range: 19–86). Of these, 38 (14%) harbored IDH1 and 51 (18%) IDH2 mutations. IDH1/2 mutations were significantly associated with WHO PS >2 (p < 0.001) and non-complex karyotype (p = 0.021) when compared to IDH1/2-WT. Furthermore, patients with IDH1 mutations were more frequently NPM1-mutated (p = 0.007) and had a higher platelet count (p = 0.036). At relapse, IDH1/2 mutations were detected in 6 (25%) patients. As per the outcome, 60.5% of IDH1/2-mutated patients achieved complete remission; overall survival and event-free survival at 2 years were 44.5% and 36.1%, respectively: these rates were similar to IDH1/2-WT. In IDH1/2-mutated patients, high WBC proved to be an independent prognostic factor for survival. In conclusion, the GIMEMA AML1516 confirms that IDH1/2 mutations are frequently detected at diagnosis and underlines the importance of recognizing IDH1/2-mutated cases up-front to offer the most appropriate therapeutic strategy, given the availability of IDH1/2 inhibitors.
Heavy Vehicle Braking using Friction Estimation for Controller Optimization

A novel electronic brake system (EBS) has demonstrated a 17 percent reduction in stopping distance on a tractor semi-trailer combination during vehicle tests in low friction conditions relative to a modern EBS. Even though these results were promising, it was observed that the novel EBS required more information about the road surface to achieve optimal braking performance. In this paper, the development of an on-line friction estimation method for heavy vehicles, as well as an optimization method that can be used to adjust the slip controller settings, according to the road friction, is described. Results from both simulation and real testing of a Volvo 8x4 FMX truck showed that real-time friction estimation is feasible and increased braking performance can be achieved. Simulation results have shown a reduction in braking distance of up to 20 percent on most road surfaces, as well as a reduction in air usage in most cases.
Reduction of food waste in Finnish food production chain as part of life cycle management

Reduction of avoidable food waste is one way in mitigating the environmental impacts of the entire food supply chain, and these reductions call for efforts both from food supply chain players and consumers. Based on the new Finnish research project FOODSPILL's results most of the food waste is generated due to consumer's behaviour especially in households but also in restaurants as plate leftover food. In Finland the amount of food waste at household level is studied to be around 120 000–160 000 tons per year. This estimate was based on a follow-up study concentrating on mapping the volume and composition of food waste in 380 Finnish households. Average per capita waste, 23 kilos, calculated from diary entries was significantly lower than the findings in international studies are pointing out. Food waste, both in Finnish restaurants and retail sector, were both found out to be around half of the food waste created in the household level.
Entropy generation analysis and effects of slip conditions on micropolar fluid flow due to a rotating disk

Abstract This article deals with the investigation of three-dimensional axisymmetric steady flow of micropolar fluid over a rotating disk in a slip-flow regime. Further, the generation of entropy due to heat transfer and fluid friction is identified. It is noticed that the entropy generation can be decreased and controlled in the presence of slip. The anisotropic slip has vital characteristics and it has a great influence on the flow field and heat transfer. The von Kármán similarity transformation is used to establish the equations governing the flow and heat transfer characteristics of the fluid. The impact of some important parameters on velocity profiles, angular velocity (microrotation) and energy distribution is discussed and illustrated through graphs and tables. The effects of physical parameters on the entropy generation and Bejan numbers are also presented graphically. In addition, the most favorable agreement is observed among the results of the present study and those of the earlier studies.
EXTENSION OF THE TECHNOLOGY ACCEPTANCE MODEL (TAM) TO THE ADOPTION OF THE ELECTRONIC KNOWLEDGE AND SKILLS FRAMEWORK (E-KSF) IN THE NATIONAL HEALTH SERVICE (NHS)

The electronic Knowledge and Skills Framework (e-KSF) is the performance appraisal intranet system used by the National Health Service (NHS) in the United Kingdom. Introduced in 2004, the intiative is a new pay system that simplifies and modernises the conditions of service for nurses and other NHS staff, excepting doctors, dentists and senior managers who have a separate pay contract and appraisal system. This study examined the extention of the Technology Acceptance Model (TAM) to the adoption of e-KSF in the National Health Scheme (NHS). In order to have a successful adoption of the e-KSF in NHS, the study suggests early user acceptance testing to reduce the risk of user rejection of the system, given the large investment this type of IT project entails. The study provides a foundation for future study on why using the e-KSF in the NHS is the way it is and how to improve the system design to encourage improved users acceptance and use of the system.
A Platform for Indoor Localisation, Mapping, and Data Collection using an Autonomous Vehicle

Everyone who has worked with research knows how rewarding experimenting and developing new algorithms can be. However in some cases, the hard part is not the invention of these algorithms, but their evaluation. To try and make that evaluation easier, this thesis focuses on the collection of data that can be used as positional ground truths using an autonomous measurement platform. This should assist Combain Mobile AB in the evaluation and improvement of their Wi-Fi based indoor positioning service. How and which parts of the open-source community’s work in the Robot Operating System (ROS) project to utilise is not obvious. This thesis therefore sets out to build a Minimum Viable Product (MVP) which is capable of supporting two different use cases: measure and explore inside an unknown environment, and measure inside a known environment given a map. This effectively leaves Combain with a viable product, and indirectly helps the community by aiding it in comparing and recommending the best tools and software libraries for the task. The result of this thesis ends up recommending the following for measuring inside an unknown environment: the Simultaneous Localisation And Mapping (SLAM) algorithm Google Cartographer for navigation, and the exploration algorithm Hector Exploration for planning the exploration. To measure inside a known environment the following is recommended: the Adaptive Monte Carlo Localisation (AMCL) positioning algorithm and the Spanning Tree Covering algorithm.
Automotive fleet repair facility wastewater treatment using air/ZVI and air/ZVI/H2O2 processes

Abstract Advanced automotive fleet repair facility wastewater treatment was investigated with Zero-Valent Iron/Hydrogen Peroxide (Air/ZVI/H2O2) process for different process parameters: ZVI and H2O2 doses, time, pH. The highest Chemical Oxygen Demand (COD) removal efficiency, 76%, was achieved for ZVI/H2O2 doses 4000/1900 mg/L, 120 min process time, pH 3.0. COD decreased from 933 to 227 mg/L. In optimal process conditions odor and color were also completely removed. COD removal efficiency was increasing with ZVI dose. Change pH value below and over 3.0 causes a rapid decrease in the treatment effectiveness. The Air/ZVI/H2O2 process kinetics can be described as d[COD]/dt = −a [COD]tm, where ‘t’ corresponds with time and ‘a’ and ‘m’ are constants that depend on the initial reagent concentrations. H2O2 influence on process effect was assessed. COD removal could be up to 40% (560 mg/L) for Air/ZVI process. The FeCl3 coagulation effect was also evaluated. The best coagulation results were obtained for 700 mg/L Fe3+ dose, that was slightly higher than dissolved Fe used in ZVI/H2O2 process. COD was decreased to 509 mg/L.