Miracle-dz/UniFAR-FTUs huggingface dataset:
Az észlelt tanári hatékonyságot befolyásoló tényezők vizsgálata a kényszerű digitális oktatás időszakában (1. rész).

A COVID-19 járvány megjelenését követő intézkedések egyike volt az oktatás digitális platformra terelése, ami váratlanul, szinte egyik napról a másikra kényszerítette a tanárokat az új helyzethez való alkalmazkodásra. Ebben a megváltozott helyzetben a pedagógusok megszokott és hatékony oktatási módszereinek jelentősen része nem volt megvalósítható, ami befolyásolhatta tanári hatékonyság-élményüket ebben a kritikus időszakban. Az országos kiterjedésű online kérdőíves vizsgálatunkban összesen 769 pedagógus (Méletkor = 46,3 év, SD = 9,39) vett részt. Egy általunk adaptált kérdőívvel vizsgáltuk az általános tanári énhatékonyságot (Skaalvik és Skaalvik, 2007), valamint kidolgoztunk egy kérdőívet a relatív énhatékonyság feltárására is. Utóbbi esetben a valós oktatási helyzethez kellett viszonyítani a pedagógusoknak a jelen szituációban megtapasztalt élményeiket. Az eredmények szerint mindkét kérdőív statisztikailag megbízhatónak bizonyult, és alkalmasnak látszik a jelenség vizsgálatára. A pedagógusok többsége a Relatív Énhatékonyság Kérdőív eredményei szerint leterheltebbnek és kevésbé hatékonynak érezte magát, mint a normál oktatási helyzetben. A tanári énhatékonyság alskálái közül a konfliktuskezelés és a megküzdés terén éltek meg legnagyobb hatékonyságot, és a motiválás alskála mutatta a legalacsonyabb értékeket. A relatív énhatékonyság kompetencia-érzet alskálája egyértelmű pozitív kapcsolatban állt a tanári hatékonyság minden alskálájával. A leterheltség azonban negatív szignifikáns együttjárást mutatott az oktatásszervezési hatékonyság alskálával. Kutatásunk rámutatott, hogy a tanári énhatékonyság relatíve csökkent ebben az időszakban, míg a leterheltség nőtt, ugyanakkor a nagyobb befektetett munka nem járt együtt minden szempontból a hatékonyság növekedésével. Jelen tanulmányban megvitatjuk a mérés általános eredményeit az eredményesség és a tanári motiváció kontextusában.
Identification of Damaged Kernels in Wheat using a Colour Machine Vision System

Abstract A colour machine vision system was used for identification of healthy and six types of damaged kernels [broken, grass-green/green-frosted, black-point/smudged (selected from grain samples), mildewed, heated and bin-/fire-burnt (created in the laboratory)] of Canada Western Red Spring (CWRS) wheat. A software package was developed to extract various morphological and colour features from the images of both healthy and damaged kernels. Different feature models, morphological, colour and combined (morphological and colour), were evaluated for the identification analysis using the SAS procedures, STEPDISC and DISCRIM. Both parametric and non-parametric statistical classification methods were evaluated with the selected feature models. Colour features proved to be efficient for the identification of healthy and damaged kernels, while combining morphological with colour features improved the identification accuracy. Using a non-parametric classifier with a selected combined model of 24 colour and 4 morphological features, the average identification accuracies were: 93% (healthy), 90% (broken), 99% (grass-green/green-frosted), 99% (black-point/smudged), 99% (mildewed), 98% (heated), and 100% (bin-/fire-burnt), when trained and tested with three different training and testing data sets.
Enantioseparation of Secnidazole by High-Performance Liquid Chromatography Using Amylose-Based Stationary Phase

The secnidazole, a drug used in hepatic amebiasis, giardiasis and bacterial vaginosis, was enantioseparated on a semi-preparative scale by high performance liquid chromatography (HPLC), using chiral stationary phase (CSP) containing amylose tris (3, 5-dimethylphenyl) carbamate on silica gel (Chiralpak® AD). The experiments were carried out under normal phase conditions and the separation method exhibited very high selectivity and resolutions. The chromatographic parameters and the effects of column temperature on the retention time and selectivity were evaluated. Thermodynamic parameters were obtained from van't Hoff plots, and the elution order of the enantiomers was determined by circular dichorism. The enantiomers of secnidazole were separated under overloaded conditions with a good performance.
A new generalization of the Pareto distribution and its applications

Abstract This paper introduces a new generalization of the Pareto distribution using the Marshall-Olkin generator and the method of alpha power transformation. This new model has several desirable properties appropriate for modelling right skewed data. The Authors demonstrate how the hazard rate function and moments are obtained. Moreover, an estimation for the new model parameters is provided, through the application of the maximum likelihood and maximum product spacings methods, as well as the Bayesian estimation. Approximate confidence intervals are obtained by means of an asymptotic property of the maximum likelihood and maximum product spacings methods, while the Bayes credible intervals are found by using the Monte Carlo Markov Chain method under different loss functions. A simulation analysis is conducted to compare the estimation methods. Finally, the application of the proposed new distribution to three real-data examples is presented and its goodness-of-fit is demonstrated. In addition, comparisons to other models are made in order to prove the efficiency of the distribution in question.
Seeing Red? The Role of Font Color, Size, and Sale Sign Location in Retail Garden Center Displays1

The goal of this study was to better understand consumers' likelihood to buy a plant when the word “sale” was presented in red font on a white sign, with a range of font sizes, showing an equivalent discounted price in three ways (dollar amount, 25% percent off, and buy-3-get-1-free), with the sale sign location either on the left or right side of the display. Researchers constructed a partial factorial design with three plant types producing 16 images for the study. They recruited 154 subjects from two states. Results of the rating-based conjoint study revealed that plant type comprised 45% of the purchase decision, which was consistent with prior research. Price (23.8%) was the next most important factor in likely to buy followed by sale font size. Sale sign location and sale font color were similar and third and fourth, respectively, in relative importance. The synergistic effect of sale font size and color indicate that when red fonts were used for the word “sale” they should be larger than other font sizes and placed to the right in the display. Consumer gaze appeared to move from left to right as though study participants “read” the display. Results showed the red font had greater attention-grabbing power on the right side of the display and when it appeared in a larger or smaller font size.Index words: consumer, eye-tracking, price, survey, signage.Species used in this study: Pepper [Capsicum annuum L. (C. frutescens)], parsley Petroselinum crispum J. Hill, petunia (Petunia x hybrida Juss.), rosemary Rosmarinus officinalis L. , sage (Salvia officinalis L.), tomato (Solanum lycopersicum L.).
Vapor-Stripping and Encapsulating to Construct Particles with Time-Controlled Asymmetry and Anisotropy

An innovative chemical vapor sublimation and deposition (CVSD) process was shown to produce nanoscale anisotropic hybrid materials. Taking advantage of controlled thermodynamic properties and the mass transfer of molecules, this process allowed for water vapor sublimation from an iced template/substrate and stagewise vapor deposition of poly-p-xylylene onto the sublimating ice substrate. In this study, the use of sensitive soybean agglutinin (SBA) protein tubes was demonstrated as an example to prepare the anisotropic hybrid material based on the CVSD process. The rationale of a timing parameter, Δt, was controlled to program the sublimation of the SBA-ice templates and the deposition of poly-p-xylylene during the CVSD process. As a result of this control, a stripping stage occurred, during which SBA tubes were exposed on the particle surface, and a subsequent encapsulation stage enabled the transformation of the ice templates into a nanometer-sized anisotropic hybrid material of poly-p-xylylene as the matrix with encapsulated SBA tubes. The timing parameter Δt and the controlled stripping and encapsulating stages during CVSD represent a straightforward and intriguing mechanism stemming from physical chemistry fundamentals for the fabrication of hybrid materials from sensitive molecules and with predetermined sizes and asymmetrical shapes. A simulation analysis showed consistency with the experimental results and controllability of the timing mechanism with predictable particle sizes.
Comparative study of the energy efficiency of diesel and hybrid powered light aircraft

In recent times many research efforts are aimed at the development of aircraft hybrid propulsion technology as a means to minimize the aircraft environmental impact. The objective is to provide an additional assessment of the energy efficiency of the hybrid powered light aircraft in comparison with current state of the art Diesel powered aircraft. Typical 4-seat propeller airplane is chosen as a prototype and its flight performance model is created using open source data. The comparison is performed for a realistic flight profile including the power demands for go-around and flight to alternate destination airport. Parallel hybrid architecture is considered. A parametric study with variation of the mass, efficiency and energy capacity parameters of the hybrid power train is performed in order to determine the parameter regions where the hybrid power train has advantage over the Diesel one. The present study is based on the previous experience of the authors in assessing the energy efficiency of alternative power sources for the aviation.
SEED PRIMING IMPROVES EARLY SEEDLING GROWTH AND NUTRIENT UPTAKE IN MUNGBEAN

A series of greenhouse and field experiments were conducted at Northwest Frontier Province (NWFP) Agricultural University, Peshawar, Pakistan to study the effect of seed priming with dilute solutions of phosphorus (P) on seedling growth and nutrient uptake of mungbean (Vigna radiata L.). Seed of mungbean cv. ‘NM-92’ were primed in 0.01% and 0.02% P solutions and also in water for four hours along with a non-primed seed (control). The primed seed was washed with distilled water to remove nutrients adhering to seed coat and air dried. The amount of nutrients introgressed into seed or adhered onto the seed hull was measured. Higher P was introgressed by the seed primed with 0.02% P solution followed by seed primed in 0.01% P solution as compared to water soaked and dry seeds both in nonwashed and surface washed seeds. Likewise, seed priming with P solutions significantly improved seedling P concentration and uptake 14 and 21 days after sowing as compared to water soaked and dry seeds in both greenhouse and field experiments. Similarly, seed priming with P solutions significantly improved fresh and dry weight and plant height of mungbean seedlings 21 days after sowing in the field experiment.
Environment-Friendly Soy Flour-Based Resins Without Formaldehyde

Glyoxalated soy flour adhesives for wood particleboard added with a much smaller proportion of glyoxalated lignin or tannin and without any addition of either formaldehyde or formaldehyde-based resin are shown to yield results satisfying the relevant standard specifications for interior wood boards. Adhesive resin formulations in which the total content of natural material is either 70 or 80% of the total resin solids content gave good results. The resins comprising 70% by weight of natural material can be used in a much lower proportion on wood chips and can afford pressing times fast enough to be significant under industrial panel pressing conditions. The best formulation of all the ones tried was the one based on glyoxalated precooked soy flour (SG), to which a condensed tannin was added in water solution and a polymeric isocyanate (pMDI), where the proportions of the components SG/T/pMDI was 54/16/30 by weight. © 2008 Wiley Periodicals, Inc. J Appl Polym Sci, 2008
Prediction Model of Asphalt Content of Asphalt Mixture Based on Dielectric Properties

The rapid detection of asphalt content in asphalt mixture is of great significance to the quality evaluation of asphalt pavement. Based on the dielectric properties of an asphalt mixture, the prediction model of asphalt content is deduced theoretically using three types of dielectric models: Lichtenecker-Rother (L-R) model, Rayleigh model, and Bottcher equation. Under the condition of laboratory mixing at room temperature (about 20–25°C), a dielectric test of asphalt mixture is conducted to verify the applicability of the model. The test results indicate that the dielectric constant of the asphalt mixture is inversely proportional to the asphalt content and directly proportional to the aggregate size of the mixture. Among the models, the Rayleigh model has a wide range of applications and exhibits a high accuracy, with an average relative error of only 1.86%. The results provide a theoretical basis for the nondestructive testing of asphalt pavements using ground-penetrating radar.
Are Cloth Tarpaulin Mounted Nets Effective for Discard Reduction in Trammel Nets?

Discarding is a significant problem due to net damage and labour loss in trammel net fisheries. In this study, the effects of 15, 25, and 35 cm high cloth tarpaulin rigged between the lead line and the net were investigated in reducing the discard amount of trammel nets for red mullet (Mullus barbatus) in the south-eastern Black Sea. During the study, twenty fishing trips were carried out on-board a commercial vessel between May 11 and June 20, 2018. Results showed that there were no significant differences in the amount of discards between the commercial and experimental nets (P>0.05) However, cloth tarpaulin mounted nets (CTMN) were found to be significantly successful to reduce the amount of shore crab (Liocarcinus depurator) and the veined rapa whelk (Rapana venosa) (P<0.05). Although it is insignificant, a decline of capture was also observed in the amount of target species in CTMN compared to the commercial net (CN). Finally, the advantages and concerns of this gear modification, and potential reasons for the reduction of target and discard species are discussed.
NH3 interaction with chromium-doped WO3 nanocrystalline powders for gas sensing applications

Ammonia interaction with chromium-doped WO3 nanocrystalline powders was investigated. Chromium centres were characterised by EELS, Raman, XPS, EPR and UV-visible spectroscopy. Essentially, these studies revealed that chromium was well distributed on WO3, forming Cr(III) species and chromyl groups [CrO]3+. Test of thick-film gas sensors based on chromium-doped WO3 revealed that chromium addition boosted sensor response to NH3. Besides, it also avoided unsatisfactory dynamic behaviour previously found in gas sensors based on pure WO3. DRIFT spectroscopy and TPD were used to investigate the surface chemistry of ammonia over pure and chromium-doped WO3 nanocrystalline powders. It was concluded that chromium favours the combustion of ammonia into molecular nitrogen and nitrous oxide on chromium centres, which contributes to the improvement in the sensing properties of the material.
Medical Image Fusion Based on Transformation Domain Approaches

Combining material from two or more images in a solo image is called a mixture of images and may preserve all the basic features of the first images. The key aim of the image mix is to produce an image that displays a desired scene or much higher than an image that provides a useful image to any essential characteristics. This approaches are the most essential for the detection and management of development in the fields of therapy. This article discusses the development and study of different algorithms, such as discrete transform wavelets (DWT), stationary transformation wavelets (SWT), fast and discrete transform curvelets (F-DCT) and transforming sampled dis-sub shapelets (DS-ST). Furthermore, fused picture quality has been measured with a number of efficiency indicators known as IQA.
The management of extensive livestock systems and its relationship with greenhouse gas emissions

During food fermentation, the digestive system of bovines generates methane gas as agricultural waste. Considering this, this study intended to evaluate different relationships between production type and management technologies, with enteric methane and nitrous oxide emissions, from beef cattle systems in the southern region of the San Luis province. To achieve this objective, 30 semi-structured surveys were conducted with regional producers. The producers were generally characterized, and the emissions were estimated through the application of the IPCC Level 2 protocols. Then, considering various techniques for technology management and adoption, these emissions were analyzed and compared. The production systems resulted to be heterogeneous in area, number of cattle, rodeo management, livestock unit, production, and other aspects. The estimated emission values were also variable depending on the form of expression, the management strategy adopted, and the production system applied. From a reductionist perspective of the aspects that characterize the extensive livestock systems evaluated, greenhouse gases emission values (GHG) are relative to the interaction of some predictive variables with the key factors of the production system and management techniques applied. Thus, when considering the emissions per kg sold, cow-calf+backgrounding or
STAFF MOTIVATION PROBLEMS IN SMALL ENTERPRISES

One of the challenges a company manager constantly faces is employee motivation. According to the authors' empirical experience, in small enterprises, an entrepreneur often has limited opportunities to hire a large number of employees, so the existing ones have to perform not only direct job responsibilities within their positions or professions, but also other additional duties. The aim of the research is to study the problems and opportunities of employee motivation in small enterprises. Two surveys were conducted to achieve the aim. The survey of entrepreneurs examined the motivation of employees from the point of view of entrepreneurs, while the second survey examined the opinion of employees on motivation in small enterprises. As a result, the motivators were ranked from both points of view and compared.
Aging of Premixed Metal Fiber Burners for Natural Gas Combustion Catalyzed with Pd/LaMnO3·2ZrO2

The aim of this work is the study of the aging effect induced by S-compounds added as odorants in the natural gas network over a previously developed catalysts now deposited on a FeCrAl alloy fiber mat (NIT 200/S by ACOTECH BV). A novel generation of catalytic premixed fiber burners for low-environmental-impact natural gas combustion are based on Pd/LaMnO3·2ZrO2 catalyst, where ZrO2 acts as a structural promoter and the noble metal/perovskite synergism is effectively exploited, leading to enhanced performances with respect to noncatalyzed burners. The catalytic premixed fiber burners were characterized by means of field emission scanning electron microscope/energy dispersive spectrometer (FESEM/EDS), temperature programmed desorption/reduction/oxidation (TPD/R/O), and thermogravimetric/mass spectroscopy (TG/MS) techniques. The combustion runs were accomplished in a domestic boiler pilot plant under realistic operating conditions. An unexpected improvement was found in the overall performance of catalyzed .
Field programmable gate array‐based all‐layer accelerator with quantization neural networks for sustainable cyber‐physical systems

Low‐Bit Neural Network (LBNN) is a promising technique to enrich intelligent applications running on sustainable Cyber‐Physical Systems (CPS). Although LBNN has the advantages of low memory usage, fast inference and low power consumption, Low‐bit design requires additional computation units and may cause large accuracy drop. In this paper, we approach to design Field Programmable Gate Array (FPGA)‐based LBNN accelerator to support sustainable CPS. First, we propose a method to quantize the neural networks into 2‐bit weights, 8‐bit activations and 8‐bit biases with few accuracy loss. The mapping function is presented to approximate discrete space of weights gradually and quantize the activations and biases through the improved straight‐through estimator. Second, we design the bitwise FPGA‐based accelerator to speed up the LBNN. Different from traditional accelerating techniques (mainly focused on convolution layer), the dataflows of fully connected layer, pooling layer and convolution layer are considered to accelerate all layers of neural networks. The 2×8 bitwise multiplier implemented by AND/XOR operation is devised to replace 32×32‐bit multiplication unit, which can bring faster inference and lower power consumption. We conduct extensive experiments on benchmarks of MNIST, CIFAR‐10, CIFAR‐100 and ImageNet to evaluate the efficiency of our approach. The LBNN obtained by our quantization method can save 93.75% memory with 2.26% accuracy loss on average compared with original networks. The FPGA‐based accelerator achieves a peak performance of 427.71 GOPS under 100 MHz working frequency, which outperforms previous approaches significantly.
Preliminary Study of the Effects of Eccentric-Overload Resistance Exercise on Physical Function and Torque Capacity in Chronic Kidney Disease

The purpose of this preliminary study was to describe changes in physical function and torque capacity in adults with chronic kidney disease (CKD) in response to a novel progressive eccentric-overload resistance exercise (ERE) regime. Participants included men (n = 4) diagnosed with CKD according to estimated glomerular filtration rate (eGFR) between 59 and 15 mL/kg/1.73 m2 and not requiring dialysis. Physical function was determined by the Short Physical Performance Battery (SPPB), five repetitions of a sit-to-stand (STS) task, and timed-up and go (TUG). Knee extensor strength was assessed using both isometric and isokinetic contractions and performance fatigability indexes were calculated during a 30-s maximal isometric test and a 30-contraction isokinetic test at 180°/second. None of the patients exhibited significant worsening in their health status after training. Participants demonstrated improvements in several measures of physical function and torque capacity following 24 sessions of ERE. Following training, performance fatigability remained relatively stable despite the increases in torque capacity, indicating the potential for greater fatigue resistance. These findings provide initial evidence for ERE as a potential treatment option to combat declines in physical function and neuromuscular impairments in people with CKD. Future research is required to determine optimal progression strategies for maximizing specific neuromuscular and functional outcomes when using ERE in this patient population.