Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Factors that Stimulate University Students in Relation to the Attitude Towards the Use of the Blended Learning Approach*

This article aims to investigate the influence of factors that stimulate university students in relation to the attitude towards the use of the Blended Learning (BL) approach. The study was carried out in a private Higher Education Institution located in the city of São Paulo in undergraduate courses. The proposed model was adapted from Sabah (2019) in a survey (n=532). The research presents a quantitative approach and the use of Structural Equation Modeling. The results indicated that only 3 of the 25 formulated hypotheses were not supported having in common the Perceived Utility construct. In view of this, it was found that online activities were not mandatory, and it is up to the teacher to point out the importance of accessing materials before classes, as well as employing active methodologies; for tutors to be available when required and to stimulate awareness of the importance of online activities, and for course colleagues to recognize the importance of online discussions in the learning process. Finally, students who have demonstrated “high intensity” in liking AVA have a greater facility in perceiving the characteristics of BL. This effect also occurred in the intergroup average of the technical domain of AVA (low and high domain).
A Study of Some of the Indicators of Noise Pollution in Certain Residential Districts in Fallujah City

The aim of this study was to evaluate the effects of noise exposure in certain residential districts in Fallujah city. Twenty-nine stations were selected and divided into two groups; the first group was located 50 to 100 metres from the main streets (quiet areas), whilst the second was located directly on the main streets. Noise levels were measured at a rate of three readings per station for different time periods for approximately sixty days in the year 2020. Mean values were taken in both the morning and evening using a portable sound level meter (Auto range, RS-232). The highest noise level was measured at Alforkan station for the morning reading (83.8 dB) within the second group, while the lowest noise level was measured at Alshohada alawla district station for the morning reading (63.2 dB) within the first group. As for the results of the daily noise level in the evening, the highest daily average (79.4 dB) was measured at Jaish al Shabi street, while the lowest daily average (56.4 dB) was at Dor Alsekak district. The total average noise levels for the morning measurements for the first and second groups were 66.7 dB and 77.2 dB, respectively, whereas those for evening measurements were 65.3 dB and 71.7 dB, respectively. According to field measurements, the average values for the noise (traffic) for the first and second groups in the morning and afternoon exceeded 68 dB, which may cause people to feel very disturbed according to the WHO guidelines on exposure to external environmental noise. In general, all the results measured in this study are above the limits allowed both locally and internationally. This is due to certain erroneous practices in daily activities in addition to the irregular spread of electric generators and commercial activities as well as heavy traffic in the city.
Assessing Uncertain Migration Futures: A Typology of the Unknown

Migration is one of the most, if not the most uncertain of the major demographic processes. A complex network of interacting drivers and factors, coupled with a key role of human agency in migration decisions, well-known issues with ambiguous conceptualization, and problematic measurement of migration flows, all contribute to the very high levels of complexity and uncertainty. This limits our ability to study migration, not to mention predicting it. The aim of this paper is to shed light on the different facets of migration uncertainty, by offering a unique typology of the knowable and unknowable features of migration, with a special focus on the complexity of the underlying drivers. The typology is centered around the limits of knowledge of different migration concepts, definitions, drivers and multidimensional driver complexes, measurements, features, spatio-temporal and life course regularities, as well as possible impacts. By doing so, we hope to illuminate the promising areas of migration studies which have the highest potential of reducing the associated uncertainty through further research in the future. At the same time, the typology helps to identify those features of migration processes, for which the uncertainty is irreducible, and needs to be adequately managed. The conceptual work underpinning the typology is based on a systematic review of the state of the art in migration studies with respect to how migration uncertainty and complexity are being defined, measured, and analysed.
An iterative linear matrix inequality controller-design strategy for H ∞ structural vibration control

In this paper, we present a novel Iterative Linear Matrix Inequality (ILMI) strategy for controller design that makes it possible to compute suboptimal H∞ static output-feedback (SOF) controllers with high-performance characteristics. The obtained SOF controllers can be effective in reducing the vibrational response of multi-degree-of-freedom structures subjected to broad-band excitations. To demonstrate the effectiveness of the proposed methodology, a SOF controller is designed for the seismic protection of a multi-actuated five-story shear-frame structure with positive results.
Design and analysis of a Reconfigurable Intelligent Meta-surface for vehicular networks

In this work, a new paradigm for vehicular communications based on Reconfigurable Intelligent Meta-surfaces (RIMs) is presented. By using the proposed RIM, we are able to manipulate electromagnetic waves in the half-space, since the element is reflective. The unit cell consists of a U-shaped designed microstrip structure equipped with a pin diode and via a hole. In this study, two different reflection modes are achieved for 1-bit data transferring in each state. By incorporating these two different configurations together, the reflected phases in the proposed RIM surface can be controlled respectively in 0 ∘ and 180 ∘. The proposed unit cell can provide a usable double negative functional characteristic around 5.3 GHz. The main goal of this paper is the use of a multifunctional behavior RIM for vehicular communications to code the transmitted wave. A novel phase distribution diagram is generated to propagate in each angle. Moreover, two major electromagnetic modulation functions, beam forming and space coding have been demonstrated. Finally, we show how the RIM can be employed for vehicular communications, acting as a coated access point along the street. We derive the instantaneous data rate at the receiver node, the outage probability and the channel capacity, as affected by different beam widths, distances and vehicle speed.
E-Scooter Sharing and Bikesharing Systems: An Individual-level Analysis of Factors Affecting First-use and Use Frequency

Shared micromobility modes have increasingly penetrated the mobility environment of cities in the U.S. and the world over. At the same time, to best integrate these emerging modes within the fabric of the existing (and larger) transportation ecosystem, it is critical to understand how individuals may respond and “who” the likely users of these relatively new modes may be. In this paper, we develop a model to analyze first-use and use frequency of two micromobility modes: Escooter sharing systems (ESS) and Bike sharing systems (BSS). The model employs psycho-social constructs, built environment attributes, as well as individual-level demographics as determinants. In doing so, we explicitly recognize the role played by awareness/first-use of new technologies as a cognitive antecedent to subsequent frequency decisions. The main data source for this analysis is drawn from a 2019 survey of Austin, Texas area residents. Our results highlight the importance of considering psycho-social attitudes to both gain better insights into the behavioral process leading up to ESS/BSS adoption/use as well as ensure an accurate data fit. In particular, there are distinctive pathways of adoption/use frequency for each of the ESS and BSS modes, but also complementary processes and behavioral spillover effects at play that warrant a joint modeling of the ESS and BSS modes. Our results suggest that addressing safety concerns of micromobility modes should be the top priority of providers and public agencies. Efforts solely directed toward extoling the “green” virtues of micromobility modes is likely to have limited returns.
Atmospheric degradation of a series of methoxy and ethoxy acetates and n-pentyl acetate

In the context of DISPATMO project (forecast study of pollution risks related to the atmospheric dispersal of chemicals), risk studies linked to the fires and the explosions due to chemical storage were conducted. The purpose of this thesis was to perform a thorough kinetic and mechanistic study to determine the gas phase degradation of one of the main component of Tiflex solvent, the 1-methoxy 2-propyl acetate (MPA). Furthermore, the rate coefficients of OH and Cl with a series of alkoxy acetates widely used in painting and coating industries, 2-methoxy-butyl acetate (2MBA), 3-methoxybutyl acetate (3MBA), methoxy ethyl acetate (MEA), ethoxy ethyl acetate (EEA) and n-pentyl acetate (n-PA), were determined. The experiments were performed employing the pulsed laser photolysislaser induced fluorescence technique, a low pressure flow tube reactor coupled with a quadrupole mass spectrometer and an atmospheric simulation chamber coupled with a GC-FID, a FTIR and a GC-MS using complementary absolute and relative rate methods. The kinetic data were used to derive the Arrhenius expressions as well as to evaluate the environmental fate of the studied compounds such as their lifetimes and the Photochemical Ozone Creation Potential. Besides, the reaction mechanism was investigated, while the major degradation products and their yields were determined in presence of NO. In addition, the UV-Vis absorption cross sections of MPA, 2MBA and 3MBA were measured in order to evaluate their potential photolysis in the atmosphere. The investigation of the chemical processes and the tropospheric lifetimes of the compounds are used as input data in photochemical atmospheric simulation models and in chemical agent atmospheric dispersion models to evaluate their atmospheric impact.
Direct numerical simulation of random rough surfaces in turbulent channel flow

Direct numerical simulation (DNS) is performed to study the effects of random rough surfaces on the flow field in a turbulent channel flow at Reτ = 400. The rough surface tiles generated synthetically from a prescribed energy spectrum using a power-law are provided by Flack and Schultz (personal communication). The rough surface is applied on the bottom wall only. The skin friction coefficient of the roughwall shows good agreementwith the experimental results from Flack and Schultz. The turbulent statistics are compared to DNS results of the turbulent smooth channel flow. A velocity deficit is observed in the log-law region, indicating an increased drag due to roughness. Streamwise (x) and spanwise (z) velocity fluctuations are enhanced in the near-wall region. The pressure fluctuations are larger in the roughness sublayer when compared to a smooth channel flow. The mean momentum balance (MMB) is examined using the ratio of the viscous stress gradient to the Reynolds stress gradient. The results demonstrate that the qualitative features of the MMB layer of the smooth wall are maintained for the rough wall. The peak Reynolds stress location yp shifts closer to the wall and is less than y = 40 (yp of a smooth channel case). DNS of a rod-roughened channel flow is also performed for comparison. The probability density function (PDF) distribution of the streamwise and spanwise wall shear-stress components τyx and τyz for the rod-roughened and the random rough surface exhibits higher kurtosis than the smooth case. This implies that the probability of extreme events is higher for rough walls. For the rod-roughened case, the joint PDF distribution indicates the dominance of recirculation zones between adjacent rods. For the random rough surface, the presence of valleys leads to reverse flows near the roughness elements, however, they are not as strong as the recirculation zones in the rod-roughened case.
A REVIEW PAPER ON PART OF SPEECH TAGGER FOR HINDI

: Some segment of Part of Speech (POS) naming in hindi is so far an open issue. We regardless of everything miss the mark on a sensible strategy in executing a POS Tagger that uses hindi. At the present time delineate our undertakings to develop a POS Tagger which is based on Hidden Markov Model(HMM). We have used hindi Part of Speech mark set for the headway of this tagger. The Artificial Intelligence(AI) based approach for Named Entity Recognition(NER) is logically powerful and conservative and moreover requires less proportion of language dominance appeared differently in relation to manage based strategy. Among various AI systems HMM is one of the successful procedure to use and execute with various extra features discussed in before areas. Without a doubt, HMM has not been very used, and likewise the adequately developed work has not passed on reasonable precision, owing to this the ebb and flow inquire about work is given to HMM in NER for Indian vernaculars We have endeavored to achieve the most extraordinary exactness possible.
Gene Cloning, DNA Sequencing, and Expression of Thermostable Î2-Mannanase from <italic toggle='yes'>Bacillus stearothermophilus</italic>

A DNA genomic library constructed from Bacillus stearothermophilus, a gram-positive, facultative thermophilic aerobe that secretes a thermostable b-mannanase, was screened for mannan hydrolytic activity. Recombinant b-mannanase activity was detected on the basis of the clearing of halos around Escherichia coli colonies grown on a dye-labelled substrate, Remazol brilliant blue-locust bean gum. The nucleotide sequence of the mannanase gene, manF, corresponded to an open reading frame of 2,085 bp that codes for a 32-aminoacid signal peptide and a mature protein with a molecular mass of 76,089 Da. From sequence analysis, ManF belongs to glycosyl hydrolase family 5 and exhibits higher similarity to eukaryotic than to bacterial mannanases. The manF coding sequence was subcloned into the pH6EX3 expression plasmid and expressed in E. coli as a recombinant fusion protein containing a hexahistidine N-terminal sequence. The fusion protein has thermostability similar to the native enzyme and was purified by Ni affinity chromatography. The values for the kinetic parameters Vmax and Km were 384 U/mg and 2.4 mg/ml, respectively, for the recombinant mannanase and were comparable to those of the native enzyme.
PPA_A_235141 1021..1026

Nour H Altouki Maryam A Albrahim Ali H Hassan Zuhair S Natto Manar K Alhajrasi 1Saudi Board of Orthodontics, Jeddah Specialty Dental Center, MOH, Jeddah, Saudi Arabia; 2Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia; 3Department of Orthodontics, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia; 4Department of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia; 5Jeddah Specialty Dental Center, Ministry of Health, Jeddah, Saudi Arabia Background: Malocclusion is one of the most common oral health problems that affects quality of life. It is important to understand how different types of malocclusion can affect the oral health-related quality of life (OHRQoL). Vertical discrepancy in occlusion is highly prevalent, yet there are no studies evaluating its impact on OHRQoL in the Saudi population. Therefore, in this study, we aim to investigate the impact of vertical discrepancy in occlusion on patients’ OHRQoL. Patient and Methods: A cross-sectional evaluation of 109 patients with open and deep bites who attended the orthodontics screening clinic at King Abdulaziz University Dental Hospital was carried out. The OHRQoL of each participant was assessed using the shortened, Arabic-version of the oral health impact profile-14 questionnaire. Chi-squared and Fisher’s exact tests were used for analysis. Results: The findings indicated a statistically significant association between anterior vertical discrepancy in occlusion and embarrassment (p = 0.001), followed by being selfconscious about their appearance, discomfort while eating (p = 0.009), generalized mouth aching (p = 0.012), and speech problems (p = 0.049). This Impact was significantly higher in participants with open bites. Regarding gender variables, female patients were found to be significantly more embarrassed (p = 0.005), while male patients were more self-conscious (p = 0.018). Conclusion: Vertical discrepancy in occlusion has a negative impact on OHRQoL and its domains in both genders. The negative impact is highlighted in the psychological disability, psychological discomfort, physical pain, and functional limitation domains.
Plagiarism Detection Methods and Tools: An Overview

Plagiarism Detection Systems play an important role in revealing instances of a plagiarism act, especially in the educational sector with scientific documents and papers. The idea of plagiarism is that when any content is copied without permission or citation from the author. To detect such activities, it is necessary to have extensive information about plagiarism forms and classes. Thanks to the developed tools and methods it is possible to reveal many types of plagiarism. The development of the Information and Communication Technologies (ICT) and the availability of the online scientific documents lead to the ease of access to these documents. With the availability of many software text editors, plagiarism detections becomes a critical issue. A large number of scientific papers have already investigated in plagiarism detection, and common types of plagiarism detection datasets are being used for recognition systems, WordNet and PAN Datasets have been used since 2009. The researchers have defined the operation of verbatim plagiarism detection as a simple type of copy and paste. Then they have shed the lights on intelligent plagiarism where this process became more difficult to reveal because it may include manipulation of original text, adoption of other researchers' ideas, and translation to other languages, which will be more challenging to handle. Other researchers have expressed that the ways of plagiarism may overshadow the scientific text by replacing, removing, or inserting words, along with shuffling or modifying the original papers. This paper gives an overall definition of plagiarism and works through different papers for the most known types of plagiarism methods and tools.
Common genetic alterations of SPOP-MATH domain in prostate cancer tissues and association with pathological tumor characteristic.

SPOP gene has a critical role in prostate cancer development and found high mutated in the prostate tumor through various populations. MATH domain represents an important site for SPOP-DNA linkage and other sensitive gene-gene interactions. To investigate the genetic alterations of the MATH domain of SPOP gene in prostate cancer biopsies and correlation with clinical and pathological parameters; DNA samples from 50 prostate cancer tissues were genotyped and confirmed by Sanger sequencing. The frequency and distribution of high frequent mutations were determined and correlated with the patients tumor characteristics. Among 50 samples 34 (68%) were carrying one or more common mutations. Novel frame shift deletion mutation: c.255delA (p.Leu86Phefs) was detected in eight patients (16%), in addition to five novel missense mutations with moderate frequency (6%) namely: c.209G>C (p.Arg70Pro), c.215A>C (p.Asn72Thr), c.334G>A (p.Glu112Lys), c.373T>C (p.Phe125Leu), and c.388G>A (p.Asp130Asn), All missense mutations located in MATH domain. The effects of novel mutations described in the MATH domain are uncertain. No significant differences between carriers and noncarriers of common mutations detected regarding Gleason score, prostate-specific antigen concentration PSA, and tumor stage [p > 0.05]. Clinical significance of mutations detected on prostate tumors progression can be investigated in future analysis. Our findings revealed novel SPOP alterations in prostate cancer tissues probably associated with cancer development.
polyG2G: A Novel Machine Learning Algorithm Applied to the Generative Design of Polymer Dielectrics

: Polymers, due to advantages such as low-cost processing, chemical stability, low density, and tunable design, have emerged as a powerhouse class of materials for a wide range of applications, including dielectrics. However, in certain applications, the performance of dielectrics is limited by insu ﬃ cient electric breakdown strength. Using this real-world application as a technology driver, we describe a novel arti ﬁ cial intelligence (AI)-based approach for the design of polymers. We call this approach polyG2G. The key concept underlying polyG2G is graph-to-graph translation. Graph-to-graph translation solves the inverse problem. First, the subtle chemical di ﬀ erences between high-and low-performing polymers are learned. Then, the learned di ﬀ erences are applied to known polymers, yielding large libraries of novel, high-performing, hypothetical polymers. Our approach, with respect to a host of presently adopted design methods, exhibits a favorable trade-o ﬀ between generation of chemically valid materials and available chemical search space. polyG2G ﬁ nds thousands of potentially high-value targets (in terms of glass-transition temperature, band gap, and electron injection barrier) from an otherwise intractable search space. Density functional theory simulations of band gap and electron injection barrier con ﬁ rm that a large fraction of the polymers designed by polyG2G are indeed of high value. Finally, we ﬁ nd that polyG2G is able to learn established structure − property relationships.
Brain white matter after pediatric mild traumatic brain injury: a diffusion tensor and neurite orientation and dispersion imaging study

Background: Pediatric mild traumatic brain injury (mTBI) affects millions of children annually. Diffusion tensor imaging (DTI) is sensitive to axonal injuries and white matter microstructure and has been used to characterize the brain changes associated with mild traumatic brain injury (mTBI). Neurite orientation dispersion and density imaging (NODDI) is a diffusion model that can provide additional insight beyond traditional DTI metrics, but has not been examined in pediatric mTBI. The goal of this study was to employ DTI and NODDI to gain added insight into white matter alterations in children with mTBI compared to children with mild orthopedic injury (OI). Methods: Children (mTBI n=320, OI n=176) aged 8-16.99 years (12.39 {+/-} 2.32 years) were recruited from emergency departments at five hospitals across Canada and underwent 3T MRI on average 11 days post-injury. DTI and NODDI metrics were calculated for seven major white matter tracts and compared between groups using univariate analysis of covariance controlling for age, sex, and scanner type. False discovery rate (FDR) was used to correct for multiple comparisons. Results: Univariate analysis revealed no significant group main effects or interactions in DTI or NODDI metrics. Fractional anisotropy and neurite density index in all tracts exhibited a significant positive association with age and mean diffusivity in all tracts exhibited a significant negative association with age in the whole sample. Conclusions: Overall, there were no differences between mTBI and OI groups in brain white matter microstructure from either DTI or NODDI in the seven tracts. This indicates that mTBI is associated with only relatively minor white matter differences, if any, at the post-acute stage. Brain differences may evolve at later stages of injury, so longitudinal studies with long-term follow-up are needed.