Miracle-dz/UniFAR-FTUs huggingface dataset:
Lived Experiences, Academic Performance, and Aspirations of a Muslim Learner in a Public High School

This study was conducted to narrate the experiences, academic performance, and aspirations of a Muslim learner in a public high school. The findings of the study served as the basis for understanding the learning situation and performance of the learner. Specifically, this study sought to: describe the living condition of the Muslim learner in terms of family income and size and how these affected her academic performance; discuss the aspirations, experiences, and challenges of the Muslim learner in a public high school; and describe the academic performance of the Muslim learner during her stay in a public high school. The researcher employed the qualitative research design, particularly the case study method of research. The researcher, later on, came up with themes to describe the experiences and performance of the Muslim learner and a recommendation for future research was also made by the researcher. These were the themes presented in this paper: (1) Experiences in a public high school. (2) Quality of education. (3) Family support. (4) Academic performance. (5) Dreams and aspirations. It can be noted that the respondent had positive experiences in her stay in a public high school. She did not feel any discrimination and untoward incident of her being a Muslim. However, she pointed that she would have wanted to have Muslim teachers or included in the curriculum will be lessons specifically for them, as specified in Madrasah education. She had struggled a lot, though, in her academic performance, because of difficult situations she had experienced.
A Review of EEG and fMRI Measuring Aesthetic Processing in Visual User Experience Research

In human-computer interaction, the visual interaction of user experience (UX) and user interface (UI) plays an important role in enriching the quality of daily life. The purpose of our study analyzes the use of brain-computer interface (BCI), wearable technology, and functional magnetic resonance imaging (fMRI) to explore the aesthetic processing of visual neural response to UI and UX designs. Specifically, this review aims to understand neuroaesthetic processing knowledge, aesthetic appreciation models, and the ways in which visual brain studies can improve the quality of current and future UI and UX designs. Recent research has found that subjective evaluations of aesthetic appreciation produce different results for objective evaluations of brain research analysis. We applied SWOT analysis and examined the advantages and disadvantages of both evaluation methods. Furthermore, we conducted a traditional literature review on topics pertaining to the use of aesthetic processing knowledge in the visual interaction field in terms of art therapy, information visualization, website or mobile applications, and other interactive platforms. Our main research findings from current studies have helped and motivated researchers and designers to use convincing scientific knowledge of brain event-related potential, electroencephalography, and fMRI to understand aesthetic judgment. The key trend finds that many designers, artists, and engineers use artistic BCI technology in the visual interaction experience. Herein, the scientific methods applied in the aesthetic appreciation to human-computer interface are summarized, and the influence of the latest wearable brain technology on visual interaction design is discussed. Furthermore, current possible research entry points for aesthetics, usability, and creativity in UI and UX designs are explicated. The study results have implications for the visual user experience research domain as well as for interaction industries, which produce interactive projects to improve people's daily lives.
Effect of Private, Designer, and National Brand Names on Shoppers' Perception of Apparel Quality and Price

The present study examined (a)the effect of product characteristics and brand name on shoppers' evaluations of apparel quality and price and (b) the effect of consumer decision-making style on evaluations. One hundred sixty four mall shoppers evaluated the quality and price of one of three experimental shirts which were identical exceptfor brand labels. Brand labels had been manipulated so that each shirt contained a private, national, or designer label. Brand name did influence shoppers perceptions of price but not of quality. Consumers' decision-making style was found to influence perception of price.
Therapeutic efficacy of denosumab for rheumatoid arthritis: a systematic review and meta-analysis

Abstract Objectives Denosumab is used for osteoporosis because it inhibits osteoclast maturation and suppresses bone resorption. Although denosumab is expected to inhibit the bone erosion in RA, its therapeutic efficacy is not well established. The aim of this study was to estimate the effects of denosumab on RA through a meta-analysis. Methods A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. PubMed, Web of Science and Scopus were searched for original studies providing information on BMD, joint destruction and disease activity in denosumab-treated RA. A random-effects model was used in the meta-analysis. Results Of the 367 studies identified, 18 met the selection criteria. The BMDs of the lumbar spine, total hip and femoral neck at 12 months after denosumab treatment increased by 5.27% (95% CI: 4.37, 6.18), 2.82% (2.46, 3.18) and 3.07% (2.66, 3.48), respectively. In the sensitivity analysis, age and sex tended to influence the effect of denosumab therapy on the rate of variation of BMD, but not glucocorticoid use. The changes in the modified total sharp, erosion and joint space narrowing scores at 12 months after denosumab treatment were significantly smaller with denosumab than with placebo, although the DAS did not change after denosumab treatment. Conclusion Although denosumab has an inhibitory effect on the bone resorption in RA, its effects might be influenced by the age and sex of RA patients, but not by glucocorticoid use.
TRAFFIC CALMING SCHEMES: OPPORTUNITIES AND IMPLEMENTATION STRATEGIES

This report aims to provide a concise overview of knowledge of and experiences with traffic calming schemes in urban areas, both on a technical level and on a policy level. Traffic calming refers to a combination of network planning and engineering measures to enhance road safety as well as other aspects of liveability for the citizens. More specifically, in the current report the starting point is that traffic calming schemes in residential areas aim to discourage motorized through-traffic to enter the area and to achieve an appropriate, safe speed of remaining motorized traffic. Traffic calming at main urban roads aims to achieve an appropriate, safe speed. Urbanwide, traffic calming aims to reduce the volume of motorized traffic by providing safe and attractive facilities for alternative transport modes such as cycling and walking. The report discusses various characteristics of the urban network which are relevant for meeting the objectives of traffic calming, such as the functional classification of the network, the network structure of residential areas, and the need for a safe and attractive network for pedestrians and cyclists. In addition the report discusses the use of technical road engineering measures to achieve an appropriate safe car speed.
Assessment of Marine Gill Disease in Farmed Atlantic Salmon (Salmo salar) in Chile Using a Novel Total Gross Gill Scoring System: A Case Study

Gill disorders have become more prevalent and widespread in finfish aquaculture in recent years. Their aetiology is often considered to be multifactorial. Effective diagnosis, control and prevention are hindered by the lack of standardised methodologies to characterise the aetiological agents, which produce an array of clinical and pathological presentations. The aim of this study was to define a novel gross pathological scoring system suitable for field-based macroscopic assessment of complex or multifactorial gill disease in farmed Atlantic salmon, using samples derived from a gill disease outbreak in Chile. Clinical assessment of gross gill morphology was performed, and gill samples were collected for qPCR and histology. A novel total gill scoring system was developed, which assesses gross pathological changes combining both the presumptive or healed amoebic gill disease (AGD) and the presence of other types of gill lesions. This scoring system offers a standardised approach to characterise the severe proliferative pathologies in affected gills. This total gill scoring system can substantially contribute to the development of robust mitigation strategies and could be used as an indicator trait for incorporating resistance to multifactorial gill disease into breeding goals.
Evaluation of the CSM-CROPSIM-CERES-Wheat Model as a Tool for Crop Water Management

Development and implementation of improved methodologies for crop water management will conserve valuable water resources in agricultural regions that depend on irrigation. To address this problem for conditions in central Arizona, we have evaluated the CSM-CROPSIM-CERES-Wheat model using measured wheat growth and soil water data from plot-level irrigation scheduling experiments conducted during the winters of 2003-2004 and 2004-2005. During each season, wheat plots were managed using two FAO-56-based irrigation scheduling approaches at three planting densities (~75, ~150, and ~300 plant m-2) and at two nitrogen application rates (~80 and ~215 kg ha-1 year-1). For these treatments, the calibrated model simulated wheat yield with relative root mean squared errors (RRMSE) of 7.4% and 1.7% for the 2003-2004 and 2004-2005 seasons, respectively. Time series plots of measured and simulated Zadoks number, leaf number, leaf mass, stem mass, spike mass, and green leaf area index demonstrated favorable wheat development and growth responses to experimental treatments and seasonal weather and management variability. The model was able to quantify average soil water contents in eight soil layers to a depth of 210 cm with RRMSEs ranging from 3.3% to 18.9% for the 2003-2004 season and from 2.7% to 11.3% for the 2004-2005 season. Evapotranspiration was simulated with RRMSEs of 2.4% and 3.2% for the 2003-2004 and 2004-2005 seasons, respectively. Deficiencies were demonstrated in the ability of the model's automatic irrigation routines to reproduce the FAO-56 irrigation schedules devised during field experimentation. With further development, the CSM-CROPSIM-CERES-Wheat model could become a valuable central component for decision tools designed to evaluate alternative water management scenarios and improve water management for irrigated agricultural systems.
A Comparative Review of High-Frequency Transient DC Bias Current Mitigation Strategies in Dual-Active-Bridge DC–DC Converters Under Phase-Shift Modulations

Dual-active-bridge (DAB) converters have been widely recognized as one promising topology for high-frequency-link power conversion applications. However, one critical issue concerning DAB converters is the transient dc-bias current due to the voltage-second imbalance, which may occur frequently in typical dynamic operations of DAB converters such as the start-up, sudden load or output voltage change, and power flow direction change. Due to the high-frequency operation, the dc-bias current of DAB converters will impose more harm to magnetic components because of the limited range of operating flux density and possible magnetic saturation compared with the counterpart low-frequency dc-bias current. Over the past several years, extensive researches have been conducted to address the high-frequency transient dc-bias current of DAB converters under different phase-shift modulation strategies such as single phase shift, extended phase shift, and triple phase shift. In this article, a comparative review of typical dc-bias current mitigation strategies under typical phase-shift strategies for DAB converters is presented. An experimental evaluation of selected strategies under various scenarios is conducted in terms of the settling time, inductor current stress, efficiency, switching number, and implementation complexity. This article ends up with an overview of high-frequency dc-bias mitigation strategies and a discussion for the further optimization.
Digital orthogonal receiver for wideband radar based on compressed sensing

Digital orthogonal receiver is one of the key techniques in digital receiver of soft radar, and compressed sensing is attracting more and more attention in radar signal processing. In this paper, we propose a CS digital orthogonal receiver for wideband radar which utilizes compressed sampling in the acquisition of radar raw data. In order to reconstruct complex signal from sub-sampled raw data, a novel sparse dictionary is proposed to represent the real-valued radar raw signal sparsely. Using our dictionary and CS algorithm, we can reconstruct the complex-valued radar signal from sub-sampled echoes. Compared with conventional digital orthogonal radar receiver, the architecture of receiver in this paper is more simplified and the sampling frequency of ADC is reduced sharply. At the same time, the range profile can be obtained during the reconstruction, so the matched filtering can be eliminated in the receiver. Some experiments on ISAR imaging based on simulated data prove that the phase information of radar echoes is well reserved in our orthogonal receiver and the whole design is effective for wideband radar.
Design and Realization of Architecture for Launch Vehicle Test and Simulation System

Adopting the Space launch vehicle virtual test platform as research object, and focusing on the key functional demand of distributed virtual test based on numerical simulation, a new architecture based on the Model Driven Architecture (MDA) and High Level Architecture (HLA) is discussed. In the vertical, it separates the federate members’ logic behavior and code integrated manner, so that the work of developing the platformindependent model and platform specific model can be finished at the same time. In the horizontal, the using of HLA can partially achieve the reusability of the models. So the benefit using MDA and HLA in simulation is the reusability and interoperability of the models in whole lifecycle of the software. Using the Measurement Studio to develop the virtual instruments can improve the real-time performance and the architecture based on the MDA and HLA can meet the demands of the Launch Vehicle Test and Simulation System.
Efficacy of different insecticides against Sitophilus oryzae Linn. in stored wheat seed

Seven insecticides, viz., neem seed kernel powder (NSKP), neem cake, dry neem leaf powder (all at 10 g/kg), neem oil (10 mL/kg), nimbecidine (5 and 10 mL/kg) and deltamethrin (Decis 2.5 WP; 40 mg/kg) were evaluated as seed protectant against Sitophilus oryzae L. in stored wheat seed (HUW 234). In a sample size of two kg in gunny bags, adult were released at the rate of 10 pairs/bag and bags were stored at room temperature. Observation on number of live adults was recorded after 3, 6 and 9 months of storage. The deltamethrin (Decis 2. 5 WP; 40 mg/kg) was found most effective treatment followed by neem India, at higher and lower doses, nimbecidine at higher and lower dose, neem oil, neem cake, dry neem leaf powder and NSKP treatments.
Reconfigurable Hexa‐Band Planar Inverted‐F Antenna Using a PIN Diode for Mobile Handset

A compact, reconfigurable planar inverted‐F antenna (PIFA) for mobile phone applications is presented. Based on recent smart‐phone geometries, a PIN diode on an antenna radiator is used for frequency‐reconfigurable operation with a PIFA structure. The proposed novel hexa‐band built‐in mobile antenna, which is designed to cover LTE, GSM850, GSM900, DCS, PCS, and UMTS bands, is satisfactory in terms of its reflection coefficient, radiation patterns, and average gain (efficiency). A prototype is investigated, and good agreement between simulations and measurements is shown. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:1926–1928, 2013
ELECTRICAL CHARACTERISTICS OF HUMAN TISSUE IN THE INTRA-BODY COMMUNICATION WITHIN A LIMITED FREQUENCY DOMAIN (1MHZ - 10MHZ)

With development of the current coupling intra-body communication research, it is necessary to increase carrier frequency of communication in the future research to obtain high-speed and stable communication mode. The feature of tissue in human limbs is intensively analyzed with the carrier frequency of 1MHz to 10MHz when the condition of quasi static approximation is tenable. In combination with relevant theories and experimental data, it is concluded that quasi-static coupling of human body is not tenable, which may be used as the theoretical basis for further research of modeling theory.
The relationships among functional integration, mass customisation, and firm performance

Previous literature has extensively investigated the impact of supply chain integration on mass customisation and plant performance, but little research has been conducted to examine the impact of functional integration within the focal firm on mass customisation and plant performance. This article seeks to demonstrate this impact theoretically and empirically. Organisational information processing theory and the resource-based view of the firm are used to relate functional integration, mass customisation, and plant performance. Structural equation modelling is applied to analyse a conceptual model with survey data collected from 266 manufacturing plants. The results indicate that functional integration has a significant positive impact on mass customisation and operational performance. Mass customisation partially mediates functional integration's impact on operational performance. Results also indicate that mass customisation's impact on customer satisfaction is not direct. Rather, the relationship is fully mediated by operational performance. Managerial implications of these research findings are discussed.
New heterostructured Ni3S2-rGO based room temperature NH3 sensor

Two-dimensional (2D) layered transition metal chalcogenide nanomaterial (rhombohedral phase Ni3S2) hybridized with reduced graphene oxide layers to form a new mesoporous 2D heterostructure framework was fabricated using simple chemical methods. A thin layer of the prepared heterostructure was deposited onto gold electrodes which were fixed into polyethylene terephthalate (PET) flexible substrates. The prepared device showed a reproducible room temperature sensitivity to 80 ppb ammonia concentration at 50 % relative humidity.
Climato-Economic Context of Regional Crime and Corruption Across the Russian Federation

Cross-national research claims that the crime-and-corruption gap between relatively poor and relatively rich countries is larger in more demanding climates that require more cash and capital to cope with the climate. However, this claim is premature because countries differ in many confounding ways including histories and politics. We, therefore, re-tested the climato-economic context of violent crime and corruption within Russia, a country with considerable regional differences in climate and income. Across the eighty-five administrative units of Russia, the crime-and-corruption gap between relatively poor and relatively rich regions is smaller in more demanding climates. Harsher climates are so strongly associated with higher crime levels that the potential influence of differences in wealth becomes negligible. Furthermore, harsher climates are so strongly associated with higher corruption rates in poorer regions but lower corruption rates in richer regions that the potential influence of the climatic demands as such becomes negligible.
Research on Blasting Vibration Signal Denoising Based on Lifting Scheme

Considering lifting scheme and traditional wavelet packet transform principle, The optimal lifting wavelet packet threshold denoising algorithm was introduced. Experimental blasting vibration signal was decomposed by optimal lifting wavelet packet, and noise components in blasting vibration measured signals were filtered successfully. Research shows that, lifting wavelet package transform can effectively remove noise components, and it laid an important foundation for lifting algorithm will be introduced into the analysis field of blasting vibration effects and other mechanical vibration signal.
A novel high-/spl kappa/ SONOS memory using TaN/Al/sub 2/O/sub 3//Ta/sub 2/O/sub 5//HfO/sub 2//Si structure for fast speed and long retention operation

A novel high-/spl kappa/ silicon-oxide-nitride-oxide-silicon (SONOS)-type memory using TaN/Al/sub 2/O/sub 3//Ta/sub 2/O/sub 5//HfO/sub 2//Si (MATHS) structure is reported for the first time. Such MATHS devices can keep the advantages of our previously reported TaN/HfO/sub 2//Ta/sub 2/O/sub 5//HfO/sub 2//Si device structure to obtain a better tradeoff between long retention and fast programming as compared to traditional SONOS devices. While at the same time by replacing hafnium oxide (HfO/sub 2/) with aluminum oxide (Al/sub 2/O/sub 3/) for the top blocking layer, better blocking efficiency can be achieved due to Al/sub 2/O/sub 3/'s much larger barrier height, resulting in greatly improved memory window and faster programming. The fabricated devices exhibit a fast program and erase speed, excellent ten-year retention and superior endurance up to 10/sup 5/ stress cycles at a tunnel oxide of only 9.5 /spl Aring/ equivalent oxide thickness.
Towards Verifying Results from Biomedical NLP Machine Learning Models Using the UMLS: Cases of Classiﬁcation and Named Entity Recognition

Machine learning (ML) for biomedical research is one of the fastest growing research areas in the world today. For NLP speciﬁcally, free-text healthcare reports are an important resource whose processing can contribute potentially to patient diagnosis, treatment, and management. However, the inability to explain the outputs of ML algorithms is currently a barrier to the use of these models in a clinical setting. We present a method that uses the ontologies and knowledge-bases in the Uniﬁed Medical Language System (UMLS) to verify and explain the output of biomedical ML models. Our veriﬁer takes as input the results from an ML model, and uses the UMLS to correlate the results of the task with the conﬁdence of the model for each result. We applied this architecture to two tasks using textual cancer pathology reports: ICD-O topography classiﬁcation, and named entity recognition. For the former, we identiﬁed that the presence of certain entities in a report is inversely related to the model’s conﬁdence values; while, for the latter, we identiﬁed categories of errors related to lower conﬁdence values. Our approach, therefore, not only veriﬁes the accuracy of ML model results, but provides explanations that may be used to improve model design and performance.
Addressing issues in training Neural Extractive Summarisation models

In many works, the problem of extractive summarisation has been framed as the problem of extracting the best summary from a given document. Many popular recent works aim to solve this by employing neural networks. And many of them are trained using a very limited scope, for example, a vast majority of the neural models are trained only using the best summary. Some also consider pruning useless summaries using other models. In this work, we show the problems that can arise when training neural models using such methods. We analyse those problems in some major milestones in Neural Extractive Summarisation. We also show and demonstrate ways to overcome them experimentally.