Miracle-dz/UniFAR-FTUs huggingface dataset:
Change and stability in goose, goat and foot: back vowel dynamics in Carlisle English

In this article, I demonstrate that goose-fronting is taking place in Carlisle, a city in the north-west of England, and I provide detailed information about this change. The results show that similarly strong linguistic constraints are found in this variety and other varieties. A second point of discussion is the dynamics between goose and other back vowels, i.e. goat and foot, in this community. I argue that we also need to study the most adjacent back vowels in order to understand the complexity of this vowel change and the influence on nearby vowels. The data stem from interviews conducted in Carlisle between 2007 and 2010 and show that while goose is fronting across apparent time, for goat and foot no change in progress is observable. These dynamics seem to be geographically restricted to the north-west of England. While a parallel shift of goose and goat is very common in US and southern English varieties, the fronting of goat is not found in this northern variety. This lack of change is due to the monophthongal realisation of the goat vowel which prevents a parallel shift. Similarly, the fronting of foot seems to be blocked due to the lack of the foot–strut split.
In vitro and Ex vivo Analysis of Pitavastatin-Loaded Liposomes for the Treatment of Hyperlipidemia

Pitavastatin is a BCS class II drug with low solubility and high permeability. So, the purpose of the study was to develop and characterize pitavastatin-loaded liposomes to achieve sustained release of the drug by increasing the solubility as well as bioavailability in treating hyperlipidemia. All formulations were prepared using the ether injection method (EIM) to determine the effect of three independent factors lecithin, cholesterol, and chitosan/PEG-6000 on two dependent variables of percent drug entrapment efficiency (% DEE) and percent cumulative drug release (% CDR) at low (-1) and high (+1) levels, respectively. The prepared liposomes were analyzed using various techniques, including percent DEE, percent CDR, FTIR, S0EM, and zeta potential. After 8 hours of dissolution, the lowest and highest drug releases were 78.01 and 88.70 percent, 68.12 and 80.19 percent, and 66.22 and 78.91 percent, for FCH-4 and FCH-2, FLE-1 and FLE-3, and FPEG-4 and FPEG-3, respectively. Additionally, permeability experiments were conducted by in vitro and ex vivo methods. The particle size of liposomes was between 3.51 μm to 4.19 μm that gave evidence of the formation of uni-lamellar vesicles. The release kinetics were investigated using a variety of mathematical models. SEM and FTIR analyses indicated that liposomes have a spherical and smooth surface with no interaction between medications and excipients. Comparative in vitro and ex vivo studies demonstrated that pitavastatin calcium-loaded liposomes may be viable for patients with hyperlipidemia due to their enhanced solubility and bioavailability. Dhaka Univ. J. Pharm. Sci. 22(1): 43-54, 2023 (June)
ISPRS Journal of Photogrammetry and Remote Sensing

Mapping high resolution (30-m or better) cropland extent over very large areas such as continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of great importance for addressing the global food and water security challenges. Such cropland extent products capture individual farm ﬁ elds, small or large, and are crucial for developing accurate higher-level cropland products such as cropping intensities, crop types, crop watering methods (irrigated or rainfed), crop productivity
Heuristic and Optimized Sensor Tasking Observation Strategies with Exemplification for Geosynchronous Objects

With the new space fence technology, the catalog of known space objects is expected to increase to the order of 100,000 objects. Objects need to be initially detected, and sufficient observations need to be collected to allow for a first orbit determination. Furthermore, the objects have to be reobserved regularly, to keep them in the catalog, because the position uncertainty of the objects increases over time, due to unmodeled dynamic effects. Only a small number of ground-based and even fewer space-based sensors are currently available that are able to collect observations, compared to the large number of objects that need to be observed. This makes efficient sensor tasking, which takes into account the realistic ramifications of the problem, crucial in building up and maintaining a precise and accurate catalog of space objects. The time-varying sensor performance and specific sensor constraints are influenced by the sensor location and observational environmental effects, sensor hardware, processing software, and observation modes. This paper shows a new method of solving sensor tasking as an optimization problem translating the heuristic principles that have been successfully applied in sensor tasking of actual space situational awareness networks in a rigorous mathematical framework. A computationally fast near-optimal solution is presented, outperforming traditional heuristic sensor tasking methods. Applications of the methodology are shown via the example of the geosynchronous objects listed in the US Strategic Command two-line element catalog. The results are compared to state-of-the-art observation strategies.
ONLINE ESP TEACHING DURING THE COVID 19 PANDEMIC: STUDENTS’ VOICES

This study was aimed to evaluate the online ESP teaching in a Maritime Polytechnic in Indonesia, focusing on the teaching media used by the Maritime English lecturers: the Learning Management System, Zoom, and YouTube. 195 students of the Nautical Studies Department were involved in completing a questionnaire. 12 of them were involved in a Focus Group Interview to obtain more detailed and comprehensive information. Thematic analysis was used to analyze data and a thematic map was presented to illustrate the relationship between the themes. The findings of this study indicate that most students perceived the teaching media used by the lecturers in the online Maritime English classroom were beneficial. However, each teaching medium was reported to have its advantages and disadvantages. If combined appropriately, they can facilitate students’ language learning. It is suggested that the lecturers explore various teaching media and arrange appropriate pacing in their teaching practices. The lecturers also need to prepare their lessons well before teaching to ensure that students can receive the best online learning experience.
Role of lipid profile, apolipoproteins, and their ratio for prediction of cardiovascular disease in essential hypertension

Background and Aim of Study: Dyslipidemia is a risk factor for cardiovascular disease, and lipid metabolism changes are linked to essential hypertension. The aim of the study: to investigate the significance of lipid parameters, apolipoproteins, and their ratio in predicting cardiovascular disease among individuals with essential hypertension. Material and Methods: 250 patients with essential hypertension and 250 healthy control subjects were enrolled in this case-control study and their serum lipids and apolipoproteins were analyzed. Differences between cases and controls were examined using independent sample t-test and, a p-value <0.05 was considered significant. Results: In the essential hypertensive group, fasting blood glucose (FBG), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), apolipoprotein B100 (Apo B100) and Apo B100/Apo A1 ratio were increased significantly compared to control subjects. Essential hypertensive patients had significantly decreased levels of apolipoprotein A1 (Apo A1) and high-density lipoprotein cholesterol (HDL-C) compared to controls. Moreover, age, body mass index (BMI), FBG, TC, TG, LDL-C, and VLDL-C, as well as the Apo B100/Apo A1 ratio, were significantly positively correlated with both systolic blood pressure (SBP) and diastolic blood pressure (DBP), but HDL-C and Apo A1 were significantly negatively correlated in essential hypertensive subjects. There was a significant positive correlation between apo B100 and SBP in people with essential hypertension. Apo B100 and DBP showed a positive association, however, it was not statistically significant. Conclusions: Essential hypertensive people with dyslipidemia and an elevated Apo B100/Apo A1 ratio are at an increased risk for the development of cardiovascular disease.
Deep learning-based image defect detection and removal in manufacturing

Image inpaintnig in textile manufacturing is a new emerging research topic in preprocessing for jacquard CAD systems. One of the most important aspects of a jacquard CAD system is the simulation of the appearance of a jacquard texture during inference. Jacquard image inpainting has become an indispensable process for the Jacquard CAD system. Jacquard image reconstruction is designed to restore a damaged image with missing information, so it is necessary to determine which parts of the image need to be repaired. Thus, this task includes two processing stages: the detection of defects and their recovery. This article presents a two-stage approach that combines new and traditional algorithms for detecting defects and repairing damaged areas. The first stage is a defect detection method based on a convolutional autoencoder (U-Net). The second stage is image inpainting based on exemplar-based concepts and the anisotropic gradient. Our system quantitatively outperforms state-of-the-art methods regarding reconstruction accuracy in the benchmark.
Productive efficiency of Premier League teams using an enhanced data envelopment analysis approach

The study focuses on evaluating the economic efficiency of professional football clubs. It builds on the Haas Study, which examines the effectiveness of individual clubs through Data Envelopment Analysis (DEA). DEA analyses different types of inputs and outputs for homogeneous production units (in this case football clubs). The thesis proposes the modification of this model. The author considers the initial “hometown population” contribution of Haas as particularly outdated with regard to the increasing commercialisation of professional football and globalisation of the market, where the size of demand is primarily determined by the global popularity measured in terms of interest of the fans, sponsors, and television broadcasting companies. The global popularity of the club can easily be estimated at present using the number of fans in social networks. The clubs reflect this target on the side of the outputs – “increase of the number of fans in the social network”. Facebook was chosen as the representative of the social networks. The proposed model is used in the paper for calculation of the economic efficiency of the participants in the English Premier League in the 2016–2017 season.
Realisation of a spin–photon interface using singlet–triplet qubits in self-assembled quantum dot molecules

We explore the prospects of using doubly charged, optically active, self-assembled quantum dot molecules in the (1,1) regime as a spin–photon interface. Using optical means, we investigate the coherence properties of the singlet–triplet subspace in the vicinity of the sweet spot, where that subspace becomes atomic-clock like. We compare frequency domain measurements, making use of coherent population trapping, with time domain measurements based on coherent spin control. We find T ∗ 2 coherence times in the range of 10 ns to 200 ns, determined by charge fluctuations that vary from sample to sample. In conjunction with measurements of the Hahn spin echo, which we observe for up to 300 ns, we conclude that additional sources of decoherence are playing a role. We report a spin-measurement protocol making use of ancillary optical cycling transitions present in the system. We find an improvement of detection efficiency by two orders of magnitude compared to conventional direct optical spin detection, suggesting single-shot readout to be achievable. The principal result of this thesis is the demonstration of the coherence of the optical interaction by quantifying the amount of entanglement between a spontaneously emitted single photon and the resident pseudo-spin. A visibility of the quantum coherence approaching 50 %, together with strong classical correlations unambiguously prove quantum entanglement between the two systems.
Language anxiety and learner silence in the classroom from a cognitive-behavioral perspective

Abstract Language anxiety plays a key role in language learners’ silent behaviors in class (King, 2013). Given its public nature and emphasis on interaction within it, the classroom context plays a significant role in the production of language anxiety. Anxious people are more likely to negatively appraise situations, affecting their behavior. That is, it is not just the subject content that causes anxiety, it is also the cognitive processes that occur from being in the classroom environment (Clark & Wells, 1995; Horwitz et al., 2010). King (2014) found that anxious language learners’ thoughts often contain feared predictions about the social costs of speaking in the classroom and worries about how peers might negatively evaluate performance. These fears about external factors contribute to learners becoming inhibited and using silence to avoid the discomfort of speaking. Also, while anxious learners tend to have content-specific concerns, for example, making mistakes, self-focused thoughts are often intensified by contextual factors, such as interacting with peers (Gregersen & Horwitz, 2002). This article looks at the relationship between language anxiety and silent behavior from a cognitive-behavioral perspective, emphasizing how the dynamic interplay between an individual learner and the classroom context can result in even the most motivated and proficient learners missing opportunities to develop their language skills through target-language interaction.
Simulation of droplet impact onto a deep pool for large Froude numbers in different open-source codes

A droplet impact on a deep pool can induce macro-scale or micro-scale effects like a crown splash, a high-speed jet, formation of secondary droplets or thin liquid films, etc. It depends on the diameter and velocity of the droplet, liquid properties, effects of external forces and other factors that a ratio of dimensionless criteria can account for. In the present research, we considered the droplet and the pool consist of the same viscous incompressible liquid. We took surface tension into account but neglected gravity forces. We used two open-source codes (OpenFOAM and Gerris) for our computations. We review the possibility of using these codes for simulation of processes in free-surface flows that may take place after a droplet impact on the pool. Both codes simulated several modes of droplet impact. We estimated the effect of liquid properties with respect to the Reynolds number and Weber number. Numerical simulation enabled us to find boundaries between different modes of droplet impact on a deep pool and to plot corresponding mode maps. The ratio of liquid density to that of the surrounding gas induces several changes in mode maps. Increasing this density ratio suppresses the crown splash.
Determinants of health volunteer training in natural hazard management in Iran

Both natural and man-made dangers cause bodily harm, as well as social, economic and environmental harm. In order to minimise the complications of these threats, proper training and preparedness are crucial. The purpose of this study was to look at the factors that affect how well-trained healthcare volunteers are for natural hazards in Iran. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach, a systematic review of literature on the factors influencing the training of healthcare volunteers in natural hazard published between 2010 and 2020 was conducted. The Google Scholar search engine, PubMed (Medline and Central), Science Direct and Web of Science databases were searched using both individual and combined key phrases. The Strengthening the Reporting of Observational studies in Epidemiology checklist was used to select and evaluate 592 observational and quasi-experimental articles. Finally, the study comprised 24 papers that satisfied the research criteria and made good use of good technique, sample size and adequate tools for validity and reliability. The most useful variables for disaster preparedness were job self-efficacy, strategic decision-making and quality of work-life, job performance, job motivation, knowledge, awareness and health literacy. Contribution To avoid calamity, a thorough training program is required. Therefore, the most crucial objectives for health education specialists are to identify the factors that determine disaster preparedness, train volunteers and provide fundamental techniques to reduce natural dangers.
Rapid prediction of verbs based on pronoun interpretation is modulated by individual differences in pronoun processing

ABSTRACT How quickly can pronoun interpretation affect the prediction of a following verb? Readers were presented with implicit causality contexts in which a specific pronoun and following verb were predictable. N400 and reaction time results indicated that predictable verbs were facilitated relative to unpredictable verbs when following predicted pronouns, suggesting that verbal predictions were rapidly updated based on pronoun interpretation. There was also some evidence for rapid updating of verb predictions after unexpected pronouns, but this was modulated by individual differences. Some readers appear to have placed higher weight on top–down implicit causality predictions to interpret unexpected pronouns, and others on bottom–up information from the gender on the pronoun. These differences in turn affected the N400 response to expected and unexpected verbs. The results together demonstrate that pronouns can be interpreted quickly enough to affect predictions about the following word.
An algorithm for integer linear programming

Education • Currently I’m a PhD. Student in Virginia Tech. I’m working in Digital Circuit Verification (GPA: 3.91). • M.SC in Elect. and Comm. Eng. , Jan. 2009, thesis is titled by “Microwave Imaging Algorithm Based on Genetic Algorithm. ” • B.SC. in Elect. and Comm. Eng., May 2005, distinguished with honors (87.04%), Cairo University. Research Interests Embedded Systems (Microcontrollers). Digital Design (FPGA). Parallel Computing. VLSI Testing. VLSI Verification, Electronic Design Automation. Microwave imaging, Reconfigurable computing. Computational Electromagnetic (FDTD and FDFD). Global Optimization Techniques (Genetic Algorithm), Integer Linear Programming. ACADEMIC PROJECTS • Converting circuits to corresponding CNF formula. (C++) • Constructing Binary decision diagram (BDD) package. (C++) • Developing static implication engine based on the monitor circuit to reduce computation time for SAT-based BMC. (C++) • SAT-based Inductive Invariant Engine to reduce computation time for SAT-based BMC. (C++) • Developing Inversion algorithm for breast cancer detection. (MATLAB) • Developing Calling System (consisting on handheld unit and Dot Matrix display) with Microcontroller. (Assembly Language). • Design Hardware Accelerator on FPGA for computing reflection coefficient of the stratified multilayer lossless material. (MATLAB). • Gate-Level Logic Simulator. (c++) TECHNICAL SKILLS • Programming Languages: C, C++, c#, Java, MATLAB, VB 6.0. • Concurrency Packages: OpenMPI, Pthread, OpenMP, OpenCL, Java Concurrency Package. • Tools : Java Eclipse, gcc, g++, Emacs, Valgrind, Model Sim, Xilinx ISE, Simple Scalar, CUDD, bash, ssh. • Hardware : VHDL , logic circuit implementation, RTL coding, gate-level simulation, logic synthesis, ATPG, fault simulation, state machines, FPGA, Microcontrollers. Work Experience • Demonstrator in Faculty of EngineeringFayoum University, from March, 2006 to March, 2009. • Teaching assistant in Faculty of EngineeringFayoum University, from March, 2009 up to Jan 2010. • Instructor at IT-Gate, summer 2009 (Teaching Java and C#). Ph.D. Courses Taken 1. Computer Architecture 2. Network Architecture and Protocols 3. Parallel Processing 4. Network Security 5. Stochastic Signals and Processes 6. CAD for Communication Systems 7. Electronic Design Automation 8. Digital Circuits Testing and Verification I 9. Theory of Algorithm 10. Integer Linear Programming 11. Multiprocessor Programming 12. Digital Circuits Testing and Verification II
FEM×DEM multiscale modeling: Model performance enhancement from Newton strategy to element loop parallelization

This paper presents a multiscale model based on a FEM×DEM approach, a method that couples discrete elements at the microscale and finite elements at the macroscale. FEM×DEM has proven to be an effective way to treat real‐scale engineering problems by embedding constitutive laws numerically obtained using discrete elements into a standard finite element framework. This proposed paper focuses on some numerical open issues of the method. Given the nonlinearity of the problem, Newton's method is required. The standard full Newton method is modified by adopting operators different from the consistent tangent matrix and by developing ad‐hoc solution strategies. The efficiency of several existing operators is compared, and a new and original strategy is proposed, which is shown to be numerically more efficient than the existing propositions. Furthermore, a shared memory parallelization framework using OpenMP directives is introduced. The combination of these enhancements allows to overcome the FEM×DEM computational limitations, thus making the approach competitive with classical FEM in terms of stability and computational cost.