Miracle-dz/UniFAR-FTUs huggingface dataset:
A new generated distribution to analyze a practical engineering problem and applications

There are many systems that can handle a mix of series-parallel or parallel-series systems. Here, a new three-parameter distribution motivated mainly by dealing with series-parallel or parallel-series systems is introduced. Moments, conditional moments, mean deviations, moment generating function, quantile, Lorenz, and Bonferroni curves of the new distribution including are presented. Entropy measures are given and estimation of its parameters is studied. Two real data applications are described to show its superior performance versus some known lifetime models.
‘Live and Large’: Super-Resolution Optical Fluctuation Imaging (SOFI) and Expansion Microscopy (ExM) of Microtubule Remodelling by Rabies Virus P Protein

The field of super-resolution microscopy continues to progress rapidly, both in terms of evolving techniques and methodologies as well as in the development of new multi-disciplinary applications. Two current drivers of innovation are increasing the possible resolution gain and application in live samples. Super-resolution optical fluctuation imaging (SOFI) is well suited to live samples while expansion microscopy (ExM) enables obtainment of sub-diffraction information via conventional imaging. In this Highlight we provide a brief outline of these methods and report results from application of SOFI and ExM in our on-going study into microtubule remodelling by rabies virus P proteins. We show that MT bundles in live cells transfected with rabies virus P3 protein can be visualised using SOFI in a time-lapse fashion for up to half an hour and can be expanded using current Pro-ExM protocols and imaged using conventional microscopy.
Waveform-averaging airborne laser bathymetry scanner

We report on a fully integrated, light-weight, and compact airborne laser scanner system for combined hydrographic and topographic surveying. To handle target situations with complex echo signals the entire digitized echo waveforms can be stored on the removable data storage card for subsequent full waveform analysis. Storing the entire waveform allows for pre-detection averaging, which increases SNR (Signal to Noise Ratio) and thus performance. Waveform averaging can also be applied onboard in order to apply signal detection and online waveform processing with averaged waveforms. The user can choose any combination of online waveform processing, offline single waveform processing, or offline waveform processing with stacked waveforms. We discuss the performance gain that can be achieved by waveform stacking and by different methods of waveform processing and waveform analysis using a typical topo-bathymetric dataset.
Risk-taking behaviour in African killifish – a case of parasitic manipulation?

Parasites commonly manipulate host behaviour to increase transmission success between hosts. While most behavioural changes comprise slight alterations to host activity patterns and habitat use, some represent impressive alterations to routine behaviour which, while having direct positive effects on parasite transmission, compromise host survival. Here, we report conspicuous risky behaviour in an African annual killifish, Nothobranchius furzeri, infected by metacercariae of a strigeid trematode, Apatemon sp. , residing in their cranial cavity. We demonstrate a striking contrast in the spatial and temporal behavioural responses of fish from populations naturally infected with Apatemon sp. and fish from two control populations with either a similar baseline parasite fauna but lacking Apatemon, or an overall low-level of infection. During routine activity, fish from Apatemon-infected populations positioned themselves just below the water surface, while other fish spent most of their time near the bottom. During a simulated avian attack, killifish from Apatemon-infected populations jumped above the water surface, moved in an uncoordinated manner, and rotated in the upper water layer, while fish from the control populations rapidly escaped into deeper water and ceased moving. The same self-exposing behaviour (jumping out of the water and lying on floating lily pads for extended periods) was also observed under natural conditions. Such behaviour greatly facilitates location of Apatemon-infected host fish by avian definitive hosts, especially in turbid pools. Moreover, the nothobranchiid killifish host's own life history, i.e. an extremely short lifespan limited to several months, may represent an important driver in the evolution of behavioural manipulation.
The effects of business process outsourcing on the quality of catering services in tertiary education industry in Zimbabwe

Abstract The study sought to determine the effects of Business Process Outsourcing (BPO) on service quality of catering services in the tertiary education industry. Specifically, the outcome variables were food quality, service quality, and the quality of ambience. A statistically determined sample size of 200 was surveyed over a period of one month. The findings indicated that BPO has got statistical significance on all the hypothesised variables. Based on the results attained it was recommended that tertiary education institutions must outsource non-core functions like catering services and concentrate on the provision of education services which are inherently their core business.
Protein kinase C activation potently down-regulates the expression of its major substrate , 80 K , in Swiss 3 T 3 cells

The amino acid sequence of 80K, the major acidic protein kinase C (PKC) substrate of Swiss 3T3 fibroblasts, was deduced from a cDNA nucleotide sequence. Overall, 25% of the predicted amino acid sequence is supported by direct protein sequence data. Southern blot analysis suggests that the mouse genome contains a single copy of this gene. Two 80K mRNA species, a major band of 2.25 kb and a minor band of 3.9 kb, were detected by Northern blot analysis. Stimulation of PKC by biologically active phorbol esters, including phorbol-12, 13-dibutyrate (PDB), reduced the steady state level of80K mRNA to 8.8% of control within 57 h. This effect was dose-dependent, and was abolished by prior depletion of PKC. The PDB-induced down-regulation of 80K mRNA levels was transient, and recovery coincided with the disappearance of PKC activity. A similar transient decrease in 80K mRNA levels was also demonstrated in tertiary cultures of mouse embryo fibroblasts. The down-regulation of 80K mRNA levels was completely abolished by actinomycin D, cyclohexnmide or anisomycin if added up to 30 min after PDB addition. Since the rate of transcription of the 80K gene was unaltered by PDB treatment, we concluded that the PKC-induced down-regulation of 80K mRNA is mediated by a posttranscriptional mechanism. In addition, PDB transiently decreased the level of 80K protein within 1418 h, thus reflecting the effects of this phorbol ester on mRNA expression.
Concepts for chemical state analysis at constant probing depth by lab‐based XPS/HAXPES combining soft and hard X‐ray sources

The greater information depth provided in hard X‐ray photoelectron spectroscopy (HAXPES) enables nondestructive analyses of the chemistry and electronic structure of buried interfaces. Moreover, for industrially relevant elements like Al, Si, and Ti, the combined access to the Al 1s, Si 1s, or Ti 1s photoelectron line and its associated Al KLL, Si KLL, or Ti KLL Auger transition, as required for local chemical state analysis on the basis of the Auger parameter, is only possible with hard X‐rays. Until now, such photoemission studies were only possible at synchrotron facilities. Recently, however, the first commercial XPS/HAXPES systems, equipped with both soft and hard X‐ray sources, have entered the market, providing unique opportunities for monitoring the local chemical state of all constituent ions in functional oxides at different probing depths, in a routine laboratory environment. Bulk‐sensitive shallow core levels can be excited using either the hard or soft X‐ray source, whereas more surface‐sensitive deep core‐level photoelectron lines and associated Auger transitions can be measured using the hard X‐ray source. As demonstrated for thin Al2O3, SiO2, and TiO2 films, the local chemical state of the constituting ions in the oxide may even be probed at near‐constant probing depth by careful selection of sets of photoelectron and Auger lines, as excited with the combined soft and hard X‐ray sources. We highlight the potential of lab‐based HAXPES for the research on functional oxides and also discuss relevant technical details regarding the calibration of the kinetic binding energy scale.
Music Therapy, Volume 3, Number 1, 1983

This study compared the effects on hospitalized cancer patients of live music singing and guitar playing to the effects of tape-recorded music of the same material. Subjects were 50 cancer patients ranging in age from 17 to 69. They were randomly selected and placed into the live or taped music categories. Each subject listened to 25 minutes of music. Preand post-music mood states were recorded on the Profile of Mood States (POMS) questionnaire. Additional post-music responses were recorded on the author’s Summary Questionnaire. The live and taped preand post-music scores were compared. The live music subjects reported significantly less (p < .05) TensionAnxiety and more Vigor than did the taped music subjects. In addition live music subjects reported significantly more changes in physical discomfort (p < .05), changes in mood (p < .01), and changes in mood for the better (p < .001); and recommended music sessions for others (p < .01). Results indicate the particular effectiveness of using live music to assist in relieving tension and promoting vigor. The human element inherent in live music is believed to be important.
Educación Emocional en la Educación para la Salud: Cuestión de Salud Pública

The holistic model of health requires the inclusion of emotions in prevention and promotion policies. A systematic review was carried out in databases Medline, PsychInfo, and ERIC to check the extent to which emotions are covered in health education. Sixty-six of the 648 papers reviewed were accepted, presenting a wide range of topics, theories, and terms regarding emotional health. Therefore, health education strategies that take emotions into consideration are still underrepresented in scie.jpgic literature. Moreover, a great terminological and theorical diversity is found among the ones that incorporate emotional health, hindering knowledge dissemination and generalization of results. The need for an implementation of a health education model where emotional education is included as an essential part of it, according to recent scie.jpgic advances is clearly shown.
Tbx 1 is a negative modulator of Mef 2 c

Institute of Genetics and Biophysics, National Research Council, 80131 Naples, Italy, Telethon Institute of Genetics and Medicine, 80131 Naples, Italy, Shanghai Pediatric Congenital Heart Disease Institute, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China, Baylor College of Medicine, Houston, TX 77030, USA, University of Naples Parthenope, 80133 Naples, Italy and University of Naples Federico II, 80143 Naples, Italy
What a Directed Motivational Current Is to Language Teachers

This article discusses a framework developed by Dörnyei, Henry and Muir (2016). Known as the Directed Motivational Currents (DMCs) framework, it takes a socio-dynamic viewpoint in which learner motivation and other characteristics of learners, the learning task and the specific learning context are considered to be dynamically intertwined. Given that the DMCs framework is relatively new, descriptions of it remain highly theoretical. This article aims to discuss it in an accessible way, particularly by pinpointing how it can be translated into teaching practice. This article appraises the DMCs framework both theoretically and empirically.
Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies

The arousal-valence model is often used in characterizing human emotions. Arousal is defined as the intensity of emotion, while valence is defined as the polarity of emotion. Continuous prediction of valence in entertainment media such as movies is important for applications such as ad placement and personalized recommendations. While arousal can be effectively predicted using audio-visual information in movies, valence is reported to be more difficult to predict as it also involves understanding the semantics of the movie. In this paper, for improving valence prediction, we utilize the insight from psychology that valence and arousal are interrelated. We use Long Short Term Memory networks (LSTMs) to model the temporal context in movies using standard audio features as input. We incorporate arousal-valence interdependence in two ways: 1. as a joint loss function to optimize the prediction network, and 2. as a geometric constraint simulating the distribution of arousalvalence observed in psychology literature. Using a joint arousal-valence model, we predict continuous valence for a dataset containing Academy Award winning movies. We report a significant improvement over the state-of-the-art results, with an improved Pearson correlation of 0.69 between the annotation and prediction using the joint model, as compared to a baseline prediction of 0.49 using an independent valence model.
Thermal noise of MOS transistors

An acoustic surface wave filter has offset transmitting and receiving transducers formed on the wave propagating surface of a piezoelectric substrate. A two-segment multistrip coupler is interposed on the propagating surface and provides "track switching" or "sidestepping" action for signals within the coupler passband. The coupler includes a split-connected portion formed by electrically connected filamentary conductor pairs and a split-isolated portion formed by electrically continuous filamentary conductors and interleaved conductors having a discontinuity at their center. The split-connected portion attenuates the symmetrical mode components of acoustic waves within the coupler stop band while the split-isolated portion attenuates the anti-symmetrical mode portion of acoustic waves within the coupler stop band, producing an improved trap response.
Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch

Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented parallel simulation is an important branch of parallel simulation. An important concept in equipment parallel simulation is the model evolution driven by real-time data, including model selection and model parameter evolution. The current research on equipment RUL prediction oriented parallel simulation mainly focuses on a single continuous degradation mode, such as linear degradation and nonlinear degradation. Under this degradation condition, the model parameter evolution methods in parallel simulation can effectively predict equipment RUL. However, in practice, most of the equipment degradation processes exhibit a mixture of continuous degradation and discrete shock. So this requires adaptive selection of simulation models based on real-time degradation data. In this paper, the hybrid degradation equipment RUL prediction oriented parallel simulation considering model soft switch is studied. Firstly, under the modeling framework of the state space model (SSM), two kinds of degradation simulation models are established using the Wiener process and Poisson effect. Driven by the real-time degradation data, the model probability is calculated by using the forward interactive multiple model filtering algorithm to realize the model soft switch and data assimilation. On the basis of model soft switch, the expectation maximization algorithm is utilized to achieve model parameter evolution. Through the iteration between model soft switch and model parameter evolution, the simulation fidelity can be effectively improved and the actual equipment degradation state is continuously approached. According to the full probability theorem and the concept of first hitting time, the simulated degradation state distribution is integrated into the inverse Gaussian distribution. Then the analytical expression of the RUL probability density function is obtained to achieve RUL real-time prediction. Finally, a case study was conducted by using a bearing degradation data. The results show that the parallel simulation can effectively model the hybrid degradation process of the bearing. Compared with the single-model method that only considers the model parameter evolution, the RUL obtained by the method proposed in this paper has higher prediction accuracy and smaller uncertainty.
Applications of Electrolyzed Water as a Sanitizer in the Food and Animal-By Products Industry

Food demand is increasing every year and, usually animal-derived products are generated far from consumer-places. New technologies are being developed to preserve quality characteristics during processing and transportation. One of them is electrolyzed water (EW) that helps to avoid or decrease the development of foodborne pathogens, or losses by related bacteria. Initially, EW was used in ready-to-eat foods such as spinach, lettuce, strawberries, among others; however, its application in other products is under study. Every product has unique characteristics that require an optimized application of EW. Different sanitizers have been developed; unfortunately, they could have undesirable effects like deterioration of quality or alterations in sensory properties. Therefore, EW is gaining popularity in the food industry due to its characteristics: easy application and storage, no corrosion of work surfaces, absence of mucosal membrane irritation in workers handling food, and it is considered environmentally friendly. This review highlights the advantages of using EW in animal products like chicken, pork, beef, eggs and fish to preserve their safety and quality.
Gender Differences in Academic Motivation: A Meta-Analysis

Article History: Received 16.02. 2020 Received in revised form 04.03. 2020 Accepted 01.04. 2020 Available online 04.05. 2020 The purpose of this study is to carry out a meta-analysis study on the results of the studies on the effect of gender on academic motivation in Turkey between 2004 and 2019. For this purpose, this study aims to present a comprehensive study in which the results of the studies on this matter were combined and extended by using meta-analysis method. The study contains the gender comparison by the size value of its effect on academic motivation and the sub-group analyses. In addition, metaanalysis study was made on the effect of gender on sub-dimensions of the academic motivation in the studies that were made by using the scale “Academic Motivation Scale” developed by (Bozanoğlu, 2004). First of all, relevant studies were pooled in the meta-analysis study; then, 22 studies that comply with the research criteria were included in the analysis based on the total of academic motivation scale. The analysis based on the total point of academic motivation scale in the study contains 8010 students. 8 studies on the effect of gender on the sub-dimensions of academic motivation were included in the analysis. The analysis based on the sub-dimensions of academic motivation contains 3017 students. According to study findings, random effects model demonstrates that the effect of gender on the sub-dimensions of academic motivation is at low significance level (Cohen d value -0.07). In this study, analog ANOVA was employed for sub-group analysis by publication type and sample group of the research subject. Therefore, the sample group of the research subject differed by variance (Qb = 5.96, df= 2, p<.05). The effect of gender on exploration dimension (Cohen d value -0.12), self-transcendence dimension (Cohen d value -0.08), and dimension of using knowledge (Cohen d value -0.18) which are the sub-dimensions of academic motivation is at low significance level. © 2020 IJPES. All rights reserved
Actuator Materials: Review on Recent Advances and 
Future Outlook for Smart Textiles

Smart textiles based on actuator materials are of practical interest, but few types have been commercially exploited. The challenge for researchers has been to bring the concept out of the laboratory by working out how to build these smart materials on an industrial scale and permanently incorporate them into textiles. Smart textiles are considered as the next frontline for electronics. Recent developments in advance technologies have led to the appearance of wearable electronics by fabricating, miniaturizing and embedding flexible conductive materials into textiles. The combination of textiles and smart materials have contributed to the development of new capabilities in fabrics with the potential to change how athletes, patients, soldiers, first responders, and everyday consumers interact with their clothes and other textile products. Actuating textiles in particular, have the potential to provide a breakthrough to the area of smart textiles in many ways. The incorporation of actuating materials in to textiles is a striking approach as a small change in material anisotropy properties can be converted into significant performance enhancements, due to the densely interconnected structures. Herein, the most recent advances in smart materials based on actuating textiles are reviewed. The use of novel emerging twisted synthetic yarns, conducting polymers, hybrid carbon nanotube and spandex yarn actuators, as well as most of the cutting–edge polymeric actuators which are deployed as smart textiles are discussed.
The Effect of Perceived Stress Dimensions on Self-Efficacy and Job Burnout of Public School Teachers

The aim of this study is to investigate the effects of dimensions of perceived stress levels on teachers’ perceived self- efficacy and burn-out. A total of 301 elementary, middle and high public-school teachers were selected randomly as participants in this research. Data were collected by using the Perceived Stress Scale, Teachers’ Sense of Efficacy Scale (TSES) and Maslach Burnout Inventory for educators. In result of analyzing data it is determined that all included opinions extent of teachers’ perceived stress/discomfort scale is medium, insufficient self-efficacy stress scale is low, self-efficacy scale is medium and job burnout scale is low levels. The results revealed that perceived stress dimensions were significantly correlated with self-efficacy and job burnout. There was a negative and meaningful relationship between perceived insufficient self-efficacy sense and self-efficacy and a positive and meaningful relationship between perceived insufficient self-efficacy sense and job burnout. In addition, there was a negative and meaningful relationship between perceived stress / discomfort and self-efficacy and a positive and meaningful relationship between perceived stress / discomfort and job burnout. Finally, structural equation modeling indicated that there was a negative and meaningful relationship between self-efficacy and job burnout.