Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulation of Non-Newtonian Inelastic Flows in Channel based on Artificial Compressibility Method

In this study, inelastic constitutive modelling is considered for the simulation of shear-thinning fluids through a circular channel. Numerical solutions are presented for power-law inelastic model, considering axisymmetric Poiseuille flow through a channel. The numerical simulation of such fluid is performed by using the Galerkin finite element approach based on artificial compression method (AC-method). Usually, the Naiver-Stoke partial differential equations are used to describe fluid activity. These models consist of two partial differential equations; a continuity equation (mass conservation) and time-dependent conservation of momentum, which are maintained in the cylindrical coordinate system (axisymmetric) flow in current study. The effects of many factors such as Reynolds number (Re) and artificial compressibility parameter (sac) are discussed in this study. In particular, this study confirms the effect of these parameters on the convergence level. To meet the method analysis, Poiseuille flow along a circular channel under an isothermal state is used as a simple test problem. This test is conducted by taking a circular section of the pipe. The Findings reveal that, there is a significant effect from the inelastic parameters upon the the velocity temporal convergence-rates of velocity, while for pressue, the change in convergence is modest. In addition, the rate of convergence is increased as the values of artificial compressibility parameter (sac) are decreased.
A low profile patch antenna for Ku-band applications

ABSTRACT A low profile, small size and lightweight dual-band antenna prototype is presented for satellite application (Ku-band). The proposed design meets the spectrum necessity of region 3 specified by International Telecommunication Union (ITU). The proposed antenna achieves a frequency band of 11.69–13.24 GHz and 13.72–15.07 GHz for direct broadcast service (DBS) and fixed satellite service (FSS) in receive mode, and FSS in transmit mode, respectively. The antenna achieves the impedance bandwidth of 12.29%, and 9.37%, for first, and second band of frequency, respectively. In addition, the axial ratio of 160 MHz (12.30–12.46 GHz) is achieved by the design. The proposed design is fabricated and measured for various parameters such as reflection coefficient, bandwidth, gain and radiation pattern. Moreover, the complexity in realising the design is less due to its single patch and a single layer.
Thermally Reflowed Die-Attached Linear Variable Optical Filter for Mid-Infrared Volatile Organic Compounds Detection

Accidental or deliberate discharge of industrial chemicals into the environment has to be identified rapidly. Given its ease of fabrication and possibly low-cost operation, linear variable optical filter (LVOF), have been explored as on-chip mid-infrared optical engines. In this work, highly precise and replicable LVOF taper was demonstrated by sandwiching photoresist pillars between two Si-SiO2 dielectric Bragg reflector deposited Si wafers to form a LVOF. By varying the pillar height, different wedge angles were achieved. It was shown that as wedge angle varied from 0.0786° to 0.0205°, full width half maximum measured at $3.70~\mu \text{m}$ improved from 320 nm to 220 nm while transmission intensity increased by 35%. LVOF operating range was revealed to be inversely proportional to the wedge angle. Furthermore, the temperature insensitive filter was demonstrated to qualify the presence of vapor ethanol. Finally, LVOF design principles with respect to integrated linear array detectors were discussed. [2019-0101]
The Role of Gold Nanoparticles in Sonosensitization of Human Cervical Carcinoma Cell Line under Ultrasound Irradiation: An In Vitro Study

Abstract:Purpose: The objective of this investigation was to evaluate the combined effects of ultrasound irradiation as a non-invasive and non-ionizing radiation with gold nanoparticles as ultrasound sensitizers on the HeLa cells.Materials and Methods: First, Gold nanoparticles (GNPs) were prepared, and the characterizations of nanoparticles were analyzed using TEM and UV-vis. Different concentrations of nanoparticles (0.2, 1, 5, 25 and 50 μg/ml) were used. Then, cytotoxicity of the GNPs was studied on HeLa cells, and finally concentrations of 0.2, 1 and 5 µg/mL were chosen for supplementary studies. The effects of nanoparticles and ultrasound irradiation with different intensities (0.5, 1 and 1.5 W/cm2) as well as the combination of ultrasound radiation with various concentrations of nanoparticles on 24, 48 and 72 h post-experiment cells’ viability were estimated by MTT and trypan blue assay.Results: Results showed that the sonosensitizing effect of nanoparticles mainly depended on the intensity of ultrasound waves and the concentration of GNPs. By increasing the concentration of GNPs and ultrasound intensity, the nanoparticle's effect of sensitizer was also increased. Moreover, as expected, the highest effect was observed at the highest intensities (1.5 W/cm2) of ultrasound wave and high concentrations (5 μg/ml) of GNPs 72 h after exposure to ultrasound irradiation.Conclusions: It is revealed that GNPs can be used as sonosensitizers of HeLa cells to ultrasound irradiation in order to produce an efficient treatment.
Simulated annealing with restart strategy for the blood pickup routing problem

This study develops a simulated annealing heuristic with restart strategy (SA_RS) for solving the blood pickup routing problem (BPRP). BPRP minimizes the total length of the routes for blood bag collection between a blood bank and a set of donation sites, each associated with a time window constraint that must be observed. The proposed SA_RS is implemented in C++ and tested on benchmark instances of the vehicle routing problem with time windows to verify its performance. The algorithm is then tested on some newly generated BPRP instances and the results are compared with those obtained by CPLEX. Experimental results show that the proposed SA_RS heuristic effectively solves BPRP.
Aggregated Deep Fisher Feature for VHR Remote Sensing Scene Classification

With the development of very high resolution satellite image acquisition technology, remote sensing scene classification has become an important and challenging task. In this article, aiming at tackling this task, we propose a hybrid architecture, i.e., aggregated deep Fisher feature (ADFF), which can make full use of deep convolutional features’ rich semantic information and unsupervised encoding's high robustness. Unlike the previous methods, we first explore the optimal encoding layer in the pretraining CNN model, which naturally fuses the local and global image information in a novel way, making the ability of semantic acquisition further enhanced. ADFF can learn more suitable internal features from the remote sensing data, boosting the final performance. We evaluate our algorithm based on several public datasets, and the results show that our approach achieves superior performance compared with the state-of-the-art methods. The proposed ADFF obtains average classification accuracy of 98.81%, 95.21%, 86.01%, and 88.79%, respectively, on the UC Merced Land-Use, RSSCN7, NWPU-RESISC45 (10% for training), and NWPU-RESISC45 (20% for training) datasets.
The use of problem-based learning to enhance critical thinking skills in baccalaureate nursing students

iii Chapter I: Introduction Introduction . 1 Background and Significance . 6 Problem Statement . 8 Purpose . 8 Research Questions . 8 Theoretical Model . 8 Definition of Terms.9 Limitations . 11 Assumptions . 12 Summary . 12 Chapter II: Review of Literature Introduction . 13 Purpose . 13 Organization of the literature . 13 Theoretical framework . 14 Teaching Methods to Enhance Critical Thinking . 16 Comparison of Students on Critical Thinking . 33
THEMED ISSUE: Control engineering in shaping a low energy future

Maximum power point tracker (MPPT) is vital device in the Photovoltaic (PV) system because it can increase the generated power considerably. Partial shading conditions (PSCs) on the PV array generates many peaks in the P-V curve of PV array. Metaheuristic techniques like particle swarm optimization (PSO) have the ability to track the global peak (GP) at any operating conditions. PSO technique can track the GP but once the shading pattern (SP) changes, the value and location of the new GP will change and may PSO cannot catch the new GP because all particles are busy around the previous GP. This problem is classified into two conditions: the first condition if the GP change its location and value suddenly, the second condition occurs when the GP changes its value gradually and still in same place. The first problem is solved by reinitializing the particles. The second problem is solved using a new adaptive strategy that has not been treated or adopted in any literature before. The results obtained prove the superiority of the new proposed strategy in always catching GP in dynamic change PSCs.
Analysis of latent Dirichlet allocation and non-negative matrix factorization using latent semantic indexing

A word is a major attribute in the field of opinion/text mining. Based on this attribute, it is decided that whether it is a keyword, aspect, feature, entity, title, or topic? Lots of work has been done to detect such targets using both supervised and unsupervised approaches. These targets can be used in further processing such as text analytics, sentiment analysis, information retrieval, and searches, etc. Latent Dirichlet allocation (LDA) and nonnegative matrix factorization (NMF) are the major models used for detecting topics. Understanding the depth and details of them algorithms are necessary for those who want to extend these models. The research community of opinion/text mining uses them as a black box. However, there is a question about which model is the most accurate for detecting topics. Latent semantic indexing (LSI) is the best approach for detecting the best match for document in a given query. In this study, we analyzed the LDA and NMF models using LSI to determine the best model for opinion/text mining and found that both are very good, but NMF is slightly better than LDA.
Real Algebraic Curves on Real del Pezzo Surfaces

The study of the topology of real algebraic varieties dates back to the work of Harnack, Klein and Hilbert in the 19th century; in particular, the isotopy type classification of real algebraic curves with a fixed degree in RP2 is a classical subject that has undergone considerable evolution. On the other hand, apart from studies concerning Hirzebruch surfaces and at most degree 3 surfaces in RP3, not much is known for more general ambient surfaces. In particular, this is because varieties constructed using the patchworking method are hypersurfaces of toric varieties. However, there are many other real algebraic surfaces. Among these are the real rational surfaces, and more particularly the $mathbb{R}$-minimal surfaces. In this thesis, we extend the study of the topological types realized by real algebraic curves to the real minimal del Pezzo surfaces of degree 1 and 2. Furthermore, we end the classification of separating and non-separating real algebraic curves of bidegree $(5,5)$ in the quadric ellipsoid.
Génération de formats de modulation avancés par un modulateur Mach-Zender silicium en bande O

Pour satisfaire les besoins croissants en efficacite spectrale dans les communications optiques intra-datacenters, les formats de modulation avances presentent un interet majeur. Nous montrons qu'il est possible de generer des signaux optiques PAM-4 ou QPSK en appliquant deux signaux binaires sur un modulateur Mach-Zehnder dual-drive en silicium.
SYNTHESIS AND CONTROL 3-DOF PLANAR PARTLY DECOUPLED PARALLEL MANIPULATOR

This paper deals with a new planar parallel manipulator, kinetic energy of this mechanism, designing controller. The translation movements are decoupled from rotation. The control algorithm of parallel robot satisfying partial decoupling between translation and orientation degrees of freedom is synthesized. Simulation result of control algorithm in desired trajectory of end-effector of robot is shown. Here parallel manipulator control algorithm while intersecting singular zones is considered.
STATUS OF IMPLEMENTATION OF INDIAN SYSTEMS OF MEDICINE AND HOMOEOPATHY (ISM & H) POLICY, 2002-A SECONDARY DATA ANALYSIS -

: Context: India has designed ISM&H Policy in 2002 to emphasis the development of AYUSH due to public patronage of these systems. It is important to evaluate the implementation status of the policy in the period of eight years of its course. Aims: To ascertain the degree to which ISM&H Policy has been implemented. Design: A record based secondary data analysis was conducted during November 2010 to April 2011. Methods and Material: An implementation assessment tool containing 85 items was designed which had various domains described in policy. Various documents issued by MOHFW, Department of AYUSH, CCIM, CCH, CCRAS, CCRH, CCRUM, CCRYN, NMPB, CDSCO, Ministry of Commerce and Industry, Planning Commission etc. were analyzed. Websites of concerned agencies were also scrutinized. Score of ‘one’ was assigned to strategy/provision which had been implemented. The total score per component of policy and overall scores was calculated into the percentage and graded as Excellent, Good, Fair and Poor. The data was analyzed with the help of Microsoft Excel 2007. Results: Overall implementation score of ISM&H Policy was found to be 76.5%. Implementation status was found to be excellent, good, fair and poor for ten, two, four and one components of ISM&H Policy respectively. Conclusions: Implantation status of ISM&H policy was excellent. At same time, implementation status of some provisions of policy was found to be rudimentary. Government should support ISM&H by a significant increase in budget.
Cardiovascular pharmacology and therapeutics

Fundamental concepts in cardiovascular drug action and therapy principal classes of therapeutic agents - present and future myocardial ischemia and infarction acute myocardial infarction antithrombotic therapy in the prophylaxis of arterial thromboembolism disorders of cardiac rhythm congestive heart failure hypertension drug therapy of dyslipidemias and of atherosclerosis cardiac transplantation pharmacology and therapeutics deserving special consideration.
Renewable resources : using students for school improvement

The purpose of this study is to describe how a student leadership option class at the junior high level can be used to improve the atmosphere in schools. This particular study was conducted using an action research approach to highlight efforts to modify the current junior high leadership option course at a small rural school in Alberta to help students become more involved in leadership activities that positively affected the atmosphere in the school. Students in the course had the freedom to use their individual talents and skills to carry out projects and activities that enhanced the atmosphere in the school. The students in the leadership course were involved in school enhancement projects, reflective journal writing, social skills teaching, civic responsibilities, the study of literature in regards to outstanding leaders, and peer teaching opportunities. Activities were completed individually and in small groups. By using children as resources to improve the atmosphere in the school, ownership, responsibility, and accountability developed in the students. As these characteristics developed, more appropriate behavior resulted and a better learning environment was created. The junior high students became more positive role models for the younger children in the school as they learned the importance of setting a positive example. Students behaved more responsibly as they learned more about their role in the school and how their daily, individual choices affected the entire school. Students enjoyed their school year more by attending a school where respect, responsibility, and ownership were taught and practiced.
The hypothalamus and pituitary in health and disease

Locke and Schally and four associate authors from Tulane University School of Medicine have written a book that they hope will span the gap between research-oriented physiologists and anatomists on the one hand, and practicing clinicians (including neurosurgeons) on the other. This is certainly an ambitious undertaking and, if we fault them for not reaching their goal entirely, perhaps it is because they have set their goal
Randomness of Poisson Distributed Random Number in the Queue System

In the queuing system, inter arrival variable and service time variable are probabilistic and its pattern follow a Poisson distribution. Simulations experiment for performance measurement of a queuing system required random data. In practice, random data is built using an application program. Pseudorandom data generated from application programs often have different patterns of randomness, although in each experiment simulated the same data distribution. Level of randomness may cause the results of simulation experiments experienced statistically significant deviations, especially on problems with stochastic variables. Statistical deviation can cause errors in interpreting the results of simulation experiments, especially in the assessment of the performance of the queuing system. It is required to evaluate whether the level of randomness of pseudorandom data effect on simulation results of performance measurement of a system. Simulation experiments on a simple queuing system (M / M / 1) was carried out by using a pseudorandom number generator. Application program used to generate pseudorandom numbers is Fortran90. The experimental results show that the greater the amount of pseudorandom data, the greater the statistical deviations occur, and the smaller the degree of randomness of data. This affects the results of the simulation system in which there is a probabilistic variable that require random data to conduct simulation
AN OVERVIEW OF ASSISTIVE DEVICES FOR BLIND AND VISUALLY IMPAIRED PEOPLE

Across the world, there are approximately 253 million people with vision impairments, and assistive devices have constantly been in demand. Advanced research has led to the development of numerous assistive devices for blind people and visually impaired people (VIP) to improve their quality of life. An overview of these diﬀerent types of assistive devices such as canes, glasses, hats and gloves is presented in this survey. A FCBPSS (F: function, C: context, B: behaviour, P: principle, S: state, S: structure) architecture of visual impairment assistance system is preliminarily proposed to allow other researchers to design the assistive devices with the good experience and the high performance for blind people and VIPs in the future. As VIPs and blind people may have diﬀerent behaviour patterns, a criterion for classifying diﬀerent types of vision impairments is presented. Subsequently, we classify the substitutive senses for visual perception into ﬁve categories: vision enhancement, audition, somatosense, visual prosthesis, and olfactory and gustation. Two commonly used feedback forms, namely audition and vibration, are elaborated. Based on literature survey, we also present a summary prospective of the development of assistive devices: add more sensing and feedback modules, use the knowledge of perception mechanism and behaviour pattern as the design guideline and design more reliable validation experiments.
Mixed Oropharyngeal Candidiasis due to Candida albicans and Non-albicans Candida in HIV-Infected Patients Strains

In order to determine the clinical significance of mixed oropharyngeal candidiasis (Candida albicans plus a non-albicans strain of Candida) in patients infected with HIV-1, a retrospective chart review was done in 12 HIV-1 -infected patients with a clinical episode of oropharyngeal candidiasis, in whom a mixed culture of Candida albicans (found to be fluconazole-sensitive) plus a non-albicans species of Candida was obtained from their oral cavities. This group was compared with 26 HIV-positive patients (control group) with oropharyngeal candidiasis due to Candida albicans (found to be fluconazole-sensitive). Antifungal susceptibility testing was performed by a broth microdilution test with RPMI-2% glucose. A fungal strain was considered fluconazole-sensitive if its MIC was < 0.5 #g/ml. Both the study and control groups had similar clinical and demographic characteristics. All the patients were severely immunocompromised, with a mean CD4+ lymphocyte count of 63/mm 3 (95% CI 41-84) and 80/mm 3 (95% CI 25-135) in the study and control groups, respectively. In the study group, seven patients had Candida albicans and Candida krusei in their oral cavity, four had Candida albicans and Candida glabrata, and one had Candida albicans and Candida tropicalis. Antifungal therapy consisted of ketoconazole (5 patients in the study group, 14 in the control group) or fluconazole (7 patients in the study group, 12 in the control group); no statistically significant difference in clinical outcome was observed. Fungal strain persistence after therapy was frequently observed in both groups. It is concluded that non-albicans strains of Candida, less sensitive to azole drugs than their Candida albicans counterparts, are not clinically relevant in episodes of mixed oropharyngeal candidiasis in HIV-l-infected patients.
New Pretreatment Methods for Visible–Near-Infrared Calibration Modeling of Air-Dry Density of Ulmus pumila Wood

Due to the multidimensional complexity and redundancy between wavelengths in the visible and near infrared (Vis-NIR) region, the speed and accuracy of data analysis can be affected. This study aims to investigate the feasibility of simplifying high dimensional data based on transformation of the spectra and local correlation maximization (LCM). These two methods will be applied to determine the prediction accuracy of air-dry density of Ulmus pumila wood. In this study, the reflectance spectra (Refl.) were subjected to the reciprocal (1/Refl.) and logarithm reflectance to improve the spectra signal for prediction. LCM was developed for selecting spectral sensitive regions that were important in the prediction of density. A local correlation coefficient (r) criterion was developed such that if the r ≥ 0.75 (between wavelength and density), then partial least squares and support vector machine (SVM) were employed as the prediction method. Likewise, 2D correlation spectroscopy plots were used to further reduce the data matrix by removing redundant wavelengths. The results showed that (1) although the sensitive region of density was different, the region of r ≥ 0.80 was mainly in the Vis and NIR spectral region. Additionally, the performance of models developed from the sensitive region was better than that of data used from the less-sensitive region. (2) The SVM model was optimized by a genetic algorithm based on the log (1/Refl.) of the sensitive region. In conclusion, it was found that the spectral transformation presented better density estimation results ( = 0.909, root mean square error of calibration = 0.014) than when less sensitive wavelengths were used in the data matrix.