Miracle-dz/UniFAR-FTUs huggingface dataset:
Teachers’ perceptions of assistive technology use for students with disabilities

Abstract Since assistive technology (AT) may help meet the educational needs of students with disabilities, this study investigates pre-service and in-service special education teachers’ perceptions of using AT for students with disabilities. The participants included 97 teaching candidates from one university in an urban US city. A self-assessment survey was administered to explore the teachers’ knowledge, ability, and confidence levels when using AT. The results demonstrated that the variables of time spent in a college program, work assignment, and AT courses taken were all related to the respondents’ levels of confidence. These findings suggest the need for additional courses and preparation programs specialized in AT for facilitating its effective integration into the classroom.
Characterization of RNA Sensing Pathways in Hepatoma Cell Lines and Primary Human Hepatocytes

The liver is targeted by several human pathogenic RNA viruses for viral replication and dissemination; despite this, the extent of innate immune sensing of RNA viruses by human hepatocytes is insufficiently understood to date. In particular, for highly human tropic viruses such as hepatitis C virus, cell culture models are needed to study immune sensing. However, several human hepatoma cell lines have impaired RNA sensing pathways and fail to mimic innate immune responses in the human liver. Here we compare the RNA sensing properties of six human hepatoma cell lines, namely Huh-6, Huh-7, HepG2, HepG2-HFL, Hep3B, and HepaRG, with primary human hepatocytes. We show that primary liver cells sense RNA through retinoic acid-inducible gene I (RIG-I) like receptor (RLR) and Toll-like receptor 3 (TLR3) pathways. Of the tested cell lines, Hep3B cells most closely mimicked the RLR and TLR3 mediated sensing in primary hepatocytes. This was shown by the expression of RLRs and TLR3 as well as the expression and release of bioactive interferon in primary hepatocytes and Hep3B cells. Our work shows that Hep3B cells partially mimic RNA sensing in primary hepatocytes and thus can serve as in vitro model to study innate immunity to RNA viruses in hepatocytes.
Business′ Financial Problems Prediction - Croatian Experience

Abstract Actual development in economy, characterized with global crisis, emphasizes the importance of financial instability prediction. Financial instability in transitional countries is often predicted using the model derived using the data from companies operating in developed countries. Some researches have found that simple application of those models in different environment like transitional do not obtain the same result like when applied in developed country. Therefore, new GCE3 model was derived using the data from Croatian companies’ sample. New model, carried out by using the multiple discriminant analysis, include six independent variables that consist of solvency and liquidity ratios, as well as ratio Total revenues/total expenses. Analysis of model classification accuracy favours the possibilities of its practical usage in wide area of everyday business activities making it very useful financial instability prediction tool.
Transcription factor induction of vascular blood stem cell niches in vivo

The hematopoietic niche is a supportive microenvironment comprised of distinct cell types, including specialized vascular endothelial cells that directly interact with hematopoietic stem and progenitor cells (HSPCs). The molecular factors that specify niche endothelial cells and orchestrate HSPC homeostasis remain largely unknown. Using multi-dimensional gene expression and chromatin accessibility analyses, we define a conserved gene expression signature and cis-regulatory landscape unique to sinusoidal endothelial cells in the HSPC niche. Using enhancer mutagenesis and transcription factor overexpression, we elucidate a transcriptional code involving members of the Ets, Sox and Nuclear Hormone Receptor families that is sufficient to induce ectopic niche endothelial cells that associate with mesenchymal stromal cells and support the recruitment, maintenance and division of HSPCs in vivo. These studies set forth an approach for generating synthetic HSPC niches, in vitro or in vivo, and for effective therapies to modulate the endogenous niche.
A PRELIMINARY EXPLORATION OF DEEP LEARNING TO IDENTIFY UNQUALIFIED USERS AND LOW QUALITY NUTRITION ADVICE ON TWITTER

The promotion of healthy nutrition and diet advice is a key tenet of public health strategies to combat obesity worldwide. Increasingly, social media is a major source of health information however is not subject to the same filtering and quality control as required by public health bodies or commercial sources. Consequently, unqualified users, poor quality nutrition and diet information, and social bots are an increasing feature of the nutrition and diet discourse on social media. Such activity may result in adverse impacts to the public and interfere with official public health education and promotion campaigns. In this paper, we propose a deep learning model based on a Long Short-Term Memory (LSTM) architecture to detect (i) unqualified Twitter accounts, and (ii) tweets featuring low quality nutritional advice. We test the proposed model on dataset comprised of tweet data and profiles associated with over 1.2m tweets on nutrition and diet over a 16-month period from January 2018 to April 2019. Preliminary results suggest that the LSTM performs significantly better for profiles than tweets, averaging between 87% and 94% for accuracy, sensitivity, precision and F1-Score, and achieving 47% for specificity. These values are much lower for the tweets classifier.
A Conceptual Framework for Total Quality Management in Software Organizations

The factors of ever-increasing customer demand, global competition, and software quality have made the process of software development with a focus on quality quite demanding and challenging. Over the past few years the organizations engaged in the software business have been forced to adopt new managerial philosophies and techniques that seek to address the technical and human issues for an effective software-quality management. Many organizations have started adopting Total Quality Management (TQM) philosophy, which aims at ‘quality through the process of continuous improvement, teamwork, and customer satisfaction’, as a useful tool for enhancing software quality. In this article, the critical factors of quality management in software are identified from an exhaustive survey of the literature, and propose a conceptual framework for the implementation of TQM in the software industry.
Pressure Fluctuation of the Low Specific Speed Centrifugal Pump

In order to study the rules of pressure fluctuation and the radial force under different positions in a centrifugal pump with low specific speed, and to find the relationship between each other, the three-dimensional ,unsteady Reynolds-averaged Navier-stokes equations with shear stress transport turbulent models were solved. The pressure fluctuation was obtained. The results showed that the pressure fluctuations were visible. The pressure fluctuations in the volute were relatively low at the design flow rate condition. The blade passing frequency dominates the pressure fluctuations, high frequency contents were found on the outlet of impeller but no high frequency information occured in casing. The radial force on the impeller was unsteady especially at the small flow rate.
Acceleration Control of an Inverter-Fed Electrodynamic Shaker

This paper presents the development of a novel digital acceleration controller for sinusoidal vibration tests using switching-mode AC power source (ACPS) fed electrodynamic vibration machines. The proposed scheme is based on the interaction of two control loops: one for the shaker's acceleration regulation and another for the ACPS output voltage control. A robust model reference adaptive algorithm (RMRAC) is used in the voltage control loop. To reduce the effects caused by the plant's parameters variations as well harmonic vibrations and resonances of the test specimen, the acceleration feedback controller is augmented with a feedforward and a robust controller. Experimental results show that the proposed system is capable to achieve good acceleration reference tracking performance and robustness in the closed loop control from 20 Hz to 1 kHz.
A Generalized Model of a Class of Interconnected Hydro-Pneumatic Suspensions and Analysis of Pitch Properties

The static and dynamic properties of pitch-interconnected hydro-pneumatic vehicle suspensions are derived using a generalized analytical model. The suspensions incorporate two compact struts with integrated gas chambers and damping valves within each unit. The struts provide superior flexibility in realizing fluidic couplings, while offering large effective working area. The proposed suspension configurations consist of hydraulic, pneumatic or hybrid fluidic couplings between the front and rear suspension struts. The coupling effects due to different interconnected suspensions are established through the mathematical formulations. A generalized model of the hydro-pneumatic suspensions is developed that could be applied for either the roll or pitch plane of the vehicle, permitting analyses of suspension forces in a very simple manner. The 7-DOF pitch plane model of a heavy vehicle is analyzed to derive the relative vertical and pitch properties of different suspension configurations, in terms of suspension rates, pitch stiffness, bounce and pitch mode damping properties. The results suggest that the use of fluidic interconnections could yield considerable design flexibility and reduced coupling between the bounce and pitch stiffness properties, while the hydraulic and hybrid fluidic couplings offer added flexibility in tuning the bounce and pitch damping characteristics. The influence of load distribution on the bounce and pitch stiffness properties is also explored.Copyright © 2006 by ASME
A New Algorithm to Reduce Peak to Average Power Ratio in OFDM Systems based on BCH Codes

Orthogonal Frequency Division Multiplexing (OFDM) has a great peak-to-average power ratio (PAPR). This will reduce the performance of the power amplifier (PA). Therefore, PAPR deteriorates the overall energy efficiency of an OFDM system. Peak Insertion (PI) is one of the most commonly used methods to reduce PAPR, it gives the best reduction in PAPR. Therefore, it causes a strong degradation in Bit Error Rate (BER). To solve this problem, we propose a new algorithm called BCB-OFDM based on Bose Chaudhuri Hocquenghem Codes (BCHs) and PI. BCB is implemented in OFDM system with Quadrature Amplitude Modulation (QAM) and two coding rates 1/2 and 1/4 over an Additive White Gaussian Noise (AWGN) channel. Simulation results show that the BCB is very interesting and achieve a good value in terms of PAPR reduction with keeping good performance compared with PI and normal OFDM. In addition, BCB algorithm is simple, robust, and leaves no requirement side information with more flexibility to choose between PAPR reduction and BER performances. Keywords—Orthogonal Frequency Division Multiplexing (OFDM); Peak to Average Power Ratio (PAPR); Bit Error Rate (BER); Peak Insertion (PI); Coding; Bose Chaudhuri Hocquenghem (BCH)
SELF-CARE MODULE FOR COPING WITH MENOPAUSAL SYMPTOMS

Background: Menopause is a physiological process during which women can improve their quality of life by taking proper self-care measures. Performing self-care requires proper and effective training. The objective of the study was Evaluate the effect of self-care module on coping with menopausal symptoms in west Bank-Palestine. Design: A quasi experimental design (per-post-test) used to achieve the aim of the study. Setting: This study was conducted at twenty secondary governmental schools at Nablus city in west Bank-Palestine. Sample Type: Multi-stage random sampling design was used. Tools: four tools were used for data collection; first tool was Self-Structured interviewing questionnaire sheet, second tool was Menopause Symptoms’ Severity, third tool was coping with menopause symptoms questionnaire, and fourth tool was Self-care assessment tool. Results: There was highly statistically significant improvement on the studied women's knowledge about menopausal symptoms after intervention. More than half (57.33%) of the studied women had previous knowledge about coping strategies of menopausal symptom before intervention. In addition, average of menopausal symptoms severity score for the studied women decreased gradually by time. There is strong positive correlation between self-care practices and menopausal symptoms severity as menopause symptoms severity was significantly decrease with increase self-care practices for women. Conclusion: Implement self-care module for menopausal women was effective on reducing severity of menopausal symptoms and significantly improves women’s coping strategies in west bank –Palestine. Recommendations: Application of self-care module to reduce severity of menopausal symptoms and improve women's coping at health care setting in west bank –Palestine.
RNA Processing and Isotype Switching Shark IgW C Region Diversification through

Sharks and skates represent the earliest vertebrates with an adaptive immune system based on lymphocyte Ag receptors generated by V(D)J recombination. Shark B cells express two classical Igs, IgM and IgW, encoded by an early, alternative gene organization consisting of numerous autonomous miniloci, where the individual gene cluster carries a few rearranging gene segments and one C region, m or v . We have characterized eight distinct Ig miniloci encoding the nurse shark v H chain. Each cluster consists of VH, D, and JH segments and six to eight C domain exons. Two interspersed secretory exons, in addition to the 3 9 -most C exon with tailpiece, provide the gene cluster with the ability to generate at least six secreted isoforms that differ as to polypeptide length and C domain combination. All clusters appear to be functional, as judged by the capability for rearrangement and absence of defects in the deduced amino acid sequence. We previously showed that IgW VDJ can perform isotype switching to m C regions; in this study, we found that switching also occurs between v clusters. Thus, C region diversiﬁcation for any IgW VDJ can take place at the DNA level by switching to other v or m C regions, as well as by RNA processing to generate different C isoforms. The wide array of pathogens recognized by Abs requires different disposal pathways, and our ﬁndings demonstrate complex and unique pathways for C effector function diversity that evolved independently in cartilaginous ﬁshes. The Journal of Immunology , 2013, 191: 000–000. 9 ), and wCH6 (231 bp, W1580F, 5 9 -AACTG- CTCATACTGCGAC-3 9 and W1792R, 5 9 -GTTGTGACTGACTCGTGT-3 9 ) were ampliﬁed from a cloned W6 sequence (C region identical to GenBank accession number U51450). All of these probes cross-hybridized among the IgW genes except for W1 or W1GL, where a speciﬁc probe (wG1CH2) was used to detect CH2 (303 bp, WCH2G1F, 5 9 -TTCAAGAGCCGAACATCA-3 9 and WCH2-1R, 5 9 -CCTCTTGGTATTTCATGC-3 9 ). When the ﬁlters with BAC DNA were sequentially hybridized, the previous probe was removed using a solution of 0.1% SDS brought to boiling; this was allowed to cool to room temperature and the ﬁlters were rinsed in 2 3 SSC (300 mM sodium chloride, 30 mM sodium citrate). The blots were examined by autoradiography for residual signal before embarking on the new hybridization.
Barriers and driving forces for the implementation of Industry 4 . 0 in organizations : a state of the art

Rev.Investig. Desarro.Innov. Vol. 11, No. 3, julio-diciembre de 2021, 451-466. ISSN: 2027-8306 Omar Alexánder León-García Mónica Yamile Bermúdez-Segura Cómo citar este artículo: León-García, O. A. , & Bermúdez-Segura, M. Y. (2021). Barriers and driving forces for the implementation of Industry 4.0 in organizations: a state of the art. Revista de Investigación, Desarrollo e Innovación, 11 (3), 451-466.
Aberystwyth University Reasons of Singles for Being Single

The current research aimed to examine the reasons people are single, that is, not in an intimate relationship, across eight different countries--Brazil, China, Czech Republic, Greece, Hungary, India, Japan and the UK. We asked a large cross-cultural sample of single participants (N = 6,822) to rate 92 different possible reasons for being single. These reasons were classified into 12 factors, including one’s perceived inability to find the right partner, the perception that one is not good at flirting, and the desire to focus on one’s career. Significant sex and age effects were found for most factors. The extracted factors were further classified into three separate domains: Perceived poor capacity to attract mates, desiring the freedom of choice, and currently being in between relationships. The domain structure, the relative importance of each factor and domain, and as well as sex and age effects were relatively consistent across countries. There were also important differences however, including the differing effect sizes of sex and age effects between countries.
Fluid Invasion Dynamics in Porous Media with Complex Wettability and 1 Connectivity 2 3

20 Multiphase flow is important for many natural and engineered processes in subsurface 21 geoscience. Pore-scale multiphase flow dynamics are commonly characterized by an average 22 balance of driving forces. However, significant local variability in this balance may exist inside 23 natural, heterogeneous porous materials, such as rocks and soils. Here, we investigate 24 multiphase flow in heterogeneous rocks with different wetting properties using fast laboratory25 based 4D X-ray imaging. The mixed-wet dynamics were characterized by displacement rates 26 that differed over orders of magnitude between directly neighboring pores. While conventional 27 understanding predicted strongly capillary-dominated conditions, our analysis suggests that 28 viscous forces played a key role in these dynamics, facilitated by a complex interplay between 29 the mixed-wettability and the pore structure. These dynamics highlight the need for further 30 studies on the fundamental controls on multiphase flow in geomaterials, which is crucial to 31 design, e.g., groundwater remediation and subsurface CO2 storage operations. 32 Pre-print of accepted article in Geophysical Research Letters 2 Plain language summary 33 The flow of multiple fluids through a porous material plays an important role in many industrial 34 and natural processes such as rain infiltrating a dry soil or CO2 storage in the subsurface. At the 35 pore-scale, these flows are governed by forces which depend on the pore-geometry and the 36 relative affinities of the fluids with the solid (i.e. wettability). The rates at which fluids flow in 37 geological reservoirs is in most cases considered to be very slow (in the order of tens of meters 38 per year). At these slow flow rates, fluid displacements are thought to be controlled by capillary 39 forces. However, much of our current understanding of multiphase flow stems from artificial 40 samples with simplified geometries, while most natural geomaterials tend to be far more 41 complex in terms of pore structure and wettability. We show that heterogeneous pore structures 42 and wetting properties can lead to different mechanisms of fluid displacement compared to 43 those observed in model materials due to local variations in the viscous-capillary force balance. 44 This implies that models commonly used to predict subsurface flow process such as geological 45 CO2 storage that assume capillary forces to dominate may not adequately capture the dynamics 46 at the pore-scale. 47
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions

Neural module networks (NMN) are a popular approach for grounding visual referring expressions. Prior implementations of NMN use pre-defined and fixed textual inputs in their module instantiation. This necessitates a large number of modules as they lack the ability to share weights and exploit associations between similar textual contexts (e.g. “dark cube on the left” vs. “black cube on the left”). In this work, we address these limitations and evaluate the impact of contextual clues in improving the performance of NMN models. First, we address the problem of fixed textual inputs by parameterizing the module arguments. This substantially reduce the number of modules in NMN by up to 75% without any loss in performance. Next we propose a method to contextualize our parameterized model to enhance the module’s capacity in exploiting the visiolinguistic associations. Our model outperforms the state-of-the-art NMN model on CLEVR-Ref+ dataset with +8.1% improvement in accuracy on the single-referent test set and +4.3% on the full test set. Additionally, we demonstrate that contextualization provides +11.2% and +1.7% improvements in accuracy over prior NMN models on CLOSURE and NLVR2. We further evaluate the impact of our contextualization by constructing a contrast set for CLEVR-Ref+, which we call CC-Ref+. We significantly outperform the baselines by as much as +10.4% absolute accuracy on CC-Ref+, illustrating the generalization skills of our approach.
EVALUATION OF ANTI-BACTERIAL EFFECT OF LASER-INDUCED GOLD NANOPARTICLES AGAINST MDR PSEUDOMONAS AERUGINOSA ISOLATES FROM BURN INFECTION

Antibiotic resistance is a serious public health problem in burn infections. The application of nanoparticles provides a potential strategy to manage infections caused by Multidrug resistance bacteria. Surface modification of nanoparticles changes the physicochemical or biological characteristics of the surface to improve their activity of the antimicrobial. The purpose of our work is to highlight the potential of phototherapy to deal with multidrug resistance bacterial burn infections (Pseudomonas aeruginosa), particularly used gold nanoparticles (Au NPs) with Diode laser (532 nm, 50 mW) and He-Ne laser (632.8 nm, 1 mW). In this study, the photoinactivation effect on Pseudomonas aeruginosa 1.5x10CFU/mL) was observed when Diode laser was applied in 40 sec with 0.3 mg/ml of Au NPs and the number of bacteria isolated reached zero comparison with the negative control sample (290x10 CFU/ml) and that have high significant differences (P < 0.01). While, the photoinactivation effect on Pseudomonas aeruginosa isolet was observed when He-Ne laser was applied in 100 sec with 0.3 mg/ml of Au NPs the number of bacteria isolated reheated zero comparison with the negtive control sample ( without treatment) reheated 290x10 CFU/ml) and that have high significant differences (P < 0.01) , the first control sample (bacteria is targeted with bare gold nanoparticles where reached 240x10 CFU/ml and the second control ( bare laser until 2 minutes ) reached 215 x10 CFU/ml.