Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal design of a smart post-buckled beam actuator using bat algorithm: simulations and experiments

The optimized design of a smart post-buckled beam actuator (PBA) is performed in this study. A smart material based piezoceramic stack actuator is used as a prime-mover to drive the buckled beam actuator. Piezoceramic actuators are high force, small displacement devices; they possess high energy density and have high bandwidth. In this study, bench top experiments are conducted to investigate the angular tip deflections due to the PBA. A new design of a linear-to-linear motion amplification device (LX-4) is developed to circumvent the small displacement handicap of piezoceramic stack actuators. LX-4 enhances the piezoceramic actuator mechanical leverage by a factor of four. The PBA model is based on dynamic elastic stability and is analyzed using the Mathieu–Hill equation. A formal optimization is carried out using a newly developed meta-heuristic nature inspired algorithm, named as the bat algorithm (BA). The BA utilizes the echolocation capability of bats. An optimized PBA in conjunction with LX-4 generates end rotations of the order of 15° at the output end. The optimized PBA design incurs less weight and induces large end rotations, which will be useful in development of various mechanical and aerospace devices, such as helicopter trailing edge flaps, micro and nano aerial vehicles and other robotic systems.
HASC2012corpus: Large Scale Human Activity Corpus and Its Application

Human activity recognition through the wearable sensor will enable a next-generation human-oriented ubiquitous computing. However, most of researches on the activity recognition so far are based on small number of subjects, and non-public data. To overcome the situation, we have formed a consortium named HASC and create corpora for the research community. In HASC Challenge2010, we have made HASC2011corpus with 116 subjects and 4896 accelerometer data. In HASC Challenge 2011, we have gathered 7,668 sensor data with 136 subjects and compose them as HASC2012corpus. In the field of pattern recognition, it is very important to evaluate and to improve the recognition methods by using the same dataset as a common ground. We make these corpora into public for the research community to use it as a common ground of the Human Activity Recognition. We also show several facts and results of obtained from the corpus.
Document in Context of its Time (DICT) : A system that Providing Temporal Context for Analysis of Documents

Old documents tend to be difficult to analyze and understand, not only for average users but oftentimes for professionals as well. This is due to the context shift, vocabulary evolution and, in general, the lack of precise knowledge about the writing styles in the past. We propose a novel concept of positioning document in the context of time , and develop an interactive system to support reasoning about archival documents. Our system helps users to know whether the vocabulary used by the author in the past were frequent at the time of the text creation, and whether the author used anachronisms or neologisms. It also enables detecting terms in text that underwent considerable semantic change and provides more information on the nature of such change. Overall, the proposed tool offers additional knowledge on the writing style and vocabulary choice in documents by drawing from data collected at the time of their creation or at other user-specified times.
Effectiveness of Cognitive Behavioral Therapy (CBT) to Reduce Anxiety in Children with Autism Spectrum Disorder (ASD): A Literature Review

: Anxiety is the most common problem in children with ASD. Although CBT shown more positive response in reducing anxiety than pharmacotherapy, the magnitude of effects varies ranging from small to robust effects. Objective: This review was to summarize the magnitude of CBT’s effects in reducing anxiety in children with ASD. Methods: Relevant databases including PubMed, CINAHL, Cochrane Library, Science Direct, and SCOPUS were searched using PICO question with time limit 5 years from 2011-2016. Of the 781 articles reviewed based on inclusion criteria (articles Systematic Review/ Meta-analysis of RCTs/ RCT, CBT as the main treatment, anxiety as primary output, article is free and no duplication), only 2 articles were fit and assessed critically. Critical Appraisal Skills Programme (CASP) (2013) was used to assess systematic review and meta-analysis and Oxford Centre for Evidence Based Medicine (CEBM) (2005) was used to assess RCTs. Results: CBT (length: 6-32 weeks, duration: 60-120 minutes) was statistically significant treatment to alleviate anxiety in children with ASD (7-17 years old) in moderate (d = 0.79; g = -0.76) to large effect size (d = 0.94-1.30). Effect size did not significantly differ reported among child, parent or clinician. Conclusion: CBT is highly recommended for children with ASD.
Educational capital and the role of informal education of youth from Cieszyn Silesia 1

The purpose of this article is to analyse the importance of educational capital. In post-communist societies such as Poland, the process of shaping the social structure is slightly different compared to societies such as France or England. In this situation, the role of education may turn out to be much more important in acquiring cultural capital. The research was carried out in Poland, in Cieszyn Silesia, in schools located in Cieszyn, Skoczów, Ustroń and Istebna between October 2012 and January 2013. The research group consisted of students from high schools and colleges . The year of birth of the students was between 1994-1997. The total number of students of secondary schools in 2012/2013 was 5413. Survey results show that in Cieszyn Silesia, social capital acts as a kind of transmitter between inherited and acquired capital and helps acquire high educational capital.
About The Concept Of "Translation Strategies" In The Translation Studies

In modern translation studies, the phrase "translation strategy" is widely used to describe the translation process. This article analyzes the concept of "translation strategy", various definitions of this term, the reasons for the emergence of this concept. In a number of cases, the specific content of a given concept is generally unclear. The same researchers put different content into this phrase. "Translation strategy" can indicate principled approaches to solving particular problems within the framework of a general task. Use the phrase "translation strategy" to refer to the methods used to achieve the goals formulated when choosing a "translation strategy". In addition, in many cases, this phrase denotes specific translation techniques. On the other hand, the phrase “translation strategy” is used to denote general translation approaches in translation. The article also discusses the principles and content of the translation strategy. The survivability factors of the translation strategy are interpreted.
Obstacles and Traffic Signs Tracking System

The analysis, development, software implementation and testing of the methodologies for tracking obstacles and road signs have been performed. The created system utilizes artificial neural network of DeepLab for semantic segmentation of the car camera images to identify obstacles and to select traffic signs segments based on MobileNetV2. The TrafficSignNet artificial neural network is subsequently used for traffic signs classification. The software is implemented in the Python programming language using the Tensorflow machine learning platform and the OpenCV, Scipy and Skimage computer vision libraries.
Optical modeling of corrugation cavity receiver for large-aperture solar parabolic dish collector

ABSTRACT This article presents an optical investigation of a corrugation cavity receiver for a 100 m2 parabolic dish collector (PDC). The performance of PDC depends on the selection of the receiver and its mounting distance from the collector base (H) to receive a high amount of reflected radiation. This work performs optical modeling for PDC with a designed corrugation cavity receiver using commercial software, ASAP® 2013. The motivation for this study is derived from the fact that the entrapped internal reflection within the receiver optimizes the system’s optical efficiency. The receiver geometry is such that it attributes to increasing internal reflection and average heat flux intensification. The present optical model is validated with the available literature. The influential geometrical and optical parameters of the receiver have been optimized by simulation by varying the aperture diameter (da,r) from 0.504 to 0.604 m, surface absorptivity (α) from 75 to 95%, receiver coil’s outer and inner pitch (Po and Pi) from 0.00667 to 0.00909 m, and angle of taper (θi) from 50° to 56° for H = 5.35–5.65 m. The performance of the optimized receiver is compared with the conical cavity receiver and is found to be excellent among all values of H. This optical modeling can be expected to be helpful for engineers and researchers in designing the optimized optical receiver for solar parabolic dish collector systems.
Near Unity Absorbance and Photovoltaic Properties of TMDC/Gold Heterojunction for Solar Cell Application

In this paper, near unity broadband absorption of Van der Waals semiconductors on a metallic substrate, and their photovoltaic performances in the visible spectrum are simulated. Ultrathin layered semiconductors such as Molybdenum disulfide (MoS2), Tungsten disulfide (WS2), Molybdenum di-selenide (MoSe2), Tungsten di-selenide (WSe2), Molybdenum ditelluride (MoTe2), and Tungsten ditelluride (WTe2) can create strong interference by damping optical mode in their multilayer form and increase light absorption at their heterojunctions with noble metals. From our simulation, it is observed that this absorbance can reach up to 94% when the semiconductors are placed on a gold substrate. The optimum thickness of these semiconductors in their heterostructures with gold is analyzed to create resonant absorption to generate the maximum amount of current density. The power conversion efficiency of the designed Schottky junction solar cells is calculated from their current density vs bias voltage characteristics that ranges from 1.57% to 6.80%. Moreover, the absorption coefficient, dark current characteristic, electric field intensity distribution in the device, and carrier generation rate during light illumination are presented with a view to characterizing and comparing among the parameters of TMDC based nanoscale solar cell.
Correlation Between Relative Gene Expression Patterns of Two Flowering locus T (MeFT1 and MeFT2) in Cassava Leaf and Flowering Traits Under Different Flowering Induction Conditions.

Background and Objective: Flowering locus T (FT) genes are involved in the flower induction mechanism in plants as florigen signals. The objective of this study was to study the relationship between the expression of Flowering locus T genes (MeFTs) in cassava and flowering traits under the different flowering induction conditions. Materials and Methods: The experimental design for flowering induction was RCBD for 4 replications. There were 5 treatment factors which were control, red light set from 5 pm to 7 am, 0.5 mM 6-benzyladenine (BA) with 2 mM silver thio-sulfate (STS), paclobutrazol for 6 g/plant and potassium chlorate (KCIO3) for 250 g/plant. The number of plants with flower bunches and the average number of bunches per plant in two cassava varieties were collected each month from 5-9 months after planting (MAP). The leaf samples were collected from HB80 and R9 varieties at 5-7 MAP for RNA extraction to study MeFT1 and MeFT2 expression. Results: The results show that MeFT1 expression level positively correlated with flowering traits in the same month, while MeFT2 expression level positively correlated with flowering traits in the following months. Conclusion: Therefore, expression of MeFT2 can be used for the prediction of cassava flowering in the following month which will assist the breeder for the crossing management.
Preliminary Evidence of Efficacy and Target Engagement of Pramipexole in Anhedonic Depression

Objective To investigate feasibility and target engagement of high‐dose, add‐on pramipexole treatment in anhedonic depression. Method In this open‐label pilot study, we included 12 patients with unipolar or bipolar, moderate‐to‐severe depression and with significant anhedonia symptoms. All patients were on a stable dose of one or a combination of antidepressants and/or mood stabilizers and received 10 weeks of adjunctive pramipexole titrated to a maximum dose of 4.5 mg salt/day. All patients were rated with the Dimensional Anhedonia Rating Scale (DARS), the Montgomery Åsberg Depression Rating (MADRS) and the Snaith Hamilton Pleasure Scale (SHAPS). Serum high‐sensitivity C‐reactive protein (hs‐CRP) was analyzed pre‐ and post‐treatment. Eight patients underwent fMRI pre‐ and post‐treatment and a simplified version of the monetary incentive delay task was used to investigate the effect of treatment on striatal activity during reward anticipation. Results DARS, MADRS and SHAPS scores all improved significantly over 10 weeks of pramipexole treatment (p<0.01). Mean levels of hs‐CRP decreased significantly over the course of treatment from mean 3.8 mg/L at baseline to 2.6 mg/L at endpoint (p<0.01). There were significant treatment‐associated increases in reward related activity in several brain areas including the right lateral putamen, anterior left caudate, left posterior putamen, right dorsal caudate, left anterior putamen, and the right nucleus accumbens. Conclusions This is the first study to suggest efficacy and target engagement of pramipexole in anhedonic depression. Larger randomized controlled trials are needed to confirm or refute these preliminary findings.
Damage model contribution on shape and extension of failure zone in quasi-brittle rocks

The aim of this work is to investigate the contribution of an elastic-damage model to describe the evolution and asymmetries sometimes noticed in the failure zone around tunnels. The numerical simulations for deep tunnels excavated in the Callovo-Oxfordian claystone showed that a damage mechanics model can explain certain phenomena regarding the localised shape and extension of this excavation-induced failure zone
Embankment Quality and Assessment of Moisture Control Implementation

A specification for contractor moisture quality control (QC) in roadway embankment construction has been in use for approximately 10 years in Iowa on about 190 projects. The use of this QC specification and the development of the soils certification program for the Iowa Department of Transportation (DOT) originated from Iowa Highway Research Board (IHRB) embankment quality research projects. Since this research, the Iowa DOT has applied compaction with moisture control on most embankment work under pavements. This study set out to independently evaluate the actual quality of compaction using the current specifications. Results show that Proctor tests conducted by Iowa State University (ISU) using representative material obtained from each test section where field testing was conducted had optimum moisture contents and maximum dry densities that are different from what was selected by the Iowa DOT for QC/quality assurance (QA) testing. Comparisons between the measured and selected values showed a standard error of 2.9 lb/ft³ for maximum dry density and 2.1% for optimum moisture content. The difference in optimum moisture content was as high as 4% and the difference in maximum dry density was as high as 6.5 lb/ft³. The difference at most test locations, however, were within the allowable variation suggested in American Association of State Highway and Transportation Officials (AASHTO) T 99 for test results between different laboratories. The ISU testing results showed higher rates of data outside of the target limits specified based on the available contractor QC data for cohesive materials. Also, during construction observations, wet fill materials were often observed. Several test points indicated that materials were placed and accepted at wet of the target moisture contents. The statistical analysis results indicate that the results obtained from this study showed improvements over results from previous embankment quality research projects (TR-401 Phases I through III and TR-492) in terms of the percentage of data that fell within the specification limits. Although there was evidence of improvement, QC/QA results are not consistently meeting the target limits/values. Recommendations are provided in this report for Iowa DOT consideration with three proposed options for improvements to the current specifications. Option 1 provides enhancements to current specifications in terms of material-dependent control limits, training, sampling, and process control. Option 2 addresses development of alternative specifications that incorporate dynamic cone penetrometer or light weight deflectometer testing into QC/QA. Option 3 addresses incorporating calibrated intelligent compaction measurements into QC/QA.
Electric signals filtering of AC CMT welding based on wavelet analysis

An improved threshold de-noise algorithm based on the general de-noise threshold algorithm was proposed.A processing function and an adjustment coefficient were added to fill the gap within the threshold range. It is aimed at achieving the flexibility to adjust the degree of attenuation and smoothing and improving the continuity of the reconstructed signal and the degree of approximation of signals. Coif wavelet was used to decompose the electrical signal of stainless steel welding by AC CMT for 3-tier,then the decomposed wavelet coefficients were processed by improved threshold de-noise algorithm. The results showed that by adjusting the adjustment coefficient flexibly,high-frequency noise can be removed well as the useful mutation component and the rule pulsation signals were held through the processing of improved algorithm. The attenuation of the useful signals was lower than that the soft threshold method performed and improved the approximation to the real signals. The improved threshold de-noise algorithm is suitable for filtering of electrical signals of AC CMT.
DeltaFS

DeltaFS combines a read-only network filesystem with a mechanism for storing local changes. It is intended for use on limited capacity devices with good net connectivity, such as netbooks, mobile devices, and virtual machines. The local footprint of the filesystem is proportionate to the volume of changes made; so long as most files are unmodified, the local user can be given the illusion of having access to a very large drive.
Design of Compact Dual-mode BPFs Based on Cantor Fractal Geometry with U-Shaped Capacitive Coupling

This study displays two microstrip bandpass filters using dual mode loop and patch resonators in form of Cantor geometry. The proposed filters exhibits one and two bands frequency responses for each of them respectively. The microstrip filter using Cantor loop has been tested by AWR 12 software package at resonances of 4.55 and 4.58 GHz, whereas for Cantor dual band patch filter has been simulated at band frequencies of 3.6 and 6.84 GHz respectively. RT/ Duroid 6010 substrate has been adopted for filter designs with thickness and relative permittivity of 1.27 mm and 10.8, respectively. The simulated filters have notable miniaturization and frequency performances that stand for looked-for facets of the contemporary wireless uses. KeywordsMicrostrip filter, Cantor fractal resonator, dual-mode bandpass filter, single and dual band filter responses. How to cite this article: S.F. Abdulkareem, “Design of Compact Dual-Mode BPFs Based on Cantor Fractal Geometry with U-Shaped Capacitive Coupling,” Engineering & Technology Journal, Vol. 36,Part A, No. 4, pp.424-429, 2018.
Wind Sounds Classification Using Different Audio Feature Extraction Techniques

In this research, different audio feature extraction techniques are implemented and classification approaches are presented to classify seven types of wind. We applied features techniques such as Zero Crossing Rate (ZCR), Fast Fourier Transformation (FFT), Linear predictive coding (LPC), and Perceptual Linear Prediction (PLP). We know that some of these methods are good with human voices, but we tried to apply them here to characterize the wind audio content. The CNN classification method is implemented to determine the class of input wind sound signal. Experimental results show that each of these extraction feature methods give different results, but classification accuracy that are obtained by using PLP features return the best results. Fast Linear Perceptual Linear
University Teaching and Research and Scientific Research Performance Quantitative Statistics System

After implementation of the merit pay, the quantity and quality of teaching staff's scientific research projects, papers and monographs, teaching reform projects, teaching achievements would definitely affects their post promotion and appointment and salary treatment, etc. The current office automation system, education administration management system, scientific research management system mainly focused on daily office use, teaching and scientific research business process and daily affairs processing. It is unable to provide scientific quantification, accurate statistics and decision support for the teaching research projects and scientific research projects. As for these cooperation projects involve multiple majors and departments, repeated recording, repetitive statistics, missing statistics or misinformation are easy to happen and that will affect the statistical results. With all kinds of information of teaching research and scientific research projects (data) doubly increases and constantly changes year by year, there is a tough problem that the university administrator and decision-making departments are facing. How to standardize the entry (or batch import) of research data, and realize multi condition query and dynamic update? And how to realize the implementation of teaching, scientific research merit automatic quantification, distribution according to proportion, and do automatic summation by name. "University teaching and research and scientific research performance quantitative statistics system based on Web "emerges as the times require. This project aims to develop a set of network management system with multiple users and graded rights, which embodies teaching research scientific research project, standardized management, merit points, automatic quantification statistics, data analysis and warning and report output. Its accurate and fast statistical results can provide the decision-making basis for their department annual summary, and parts of the system module can be applied to other universities after slightly modified.