Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication in Marriage Questionnaire - Conclusions from Marital Studies

The studies examined the role of mutual support, commitment and depreciation of a partner for a husband’s and wife’s satisfaction with a relationship. Theory suggests that those three categories of marital interactions are crucial for the quality of relationships. Support, commitment and depreciation were assessed by the Communication in Marriage Questionnaire (KKM) created by M. Kaźmierczak and M. Plopa. 496 couples were recruited to the studies, which were conducted in a correlation paradigm. Satisfaction with marriage was assessed by Good Marriage Questionnaire (KDM-2) created by M. Plopa and J. Rostowski. Results indicated that support, commitment and aggressive behaviors have a significant, predictable and discriminable effect on satisfaction with marriage. Furthermore, “the diversified similarity rule” proposed by Rostowski was confirmed. In general, spouses perceive their own behaviors similarly as well as, in a similar way they assess behaviors of their partner, regardless of the level of their satisfaction. Still, it is the similarity connected with different, more or less adaptive patterns of behaviors. Communication in Marriage Questionnaire seems to be a reliable and valid method of analyzing interactions between spouses.
ControCurator : Human-Machine Framework For Identifying Controversy

In this paper the ControCurator human-machine framework for identifying controversy in multimodal data is described. The goal of ControCurator is to enable modern information access systems to discover and understand controversial topics and events by bringing together crowds and machines in a joint active learning workflow for the creation of adequate training data. This active learning workflow allows a user to identify and understand controversy in ongoing issues, regardless of whether there is existing knowledge on the topic.
Alternative Shapes and Shaping Techniques for Enhanced Transformer Ratios in Beam Driven Techniques

The transformer ratio of collinear beam-driven acceleration techniques can be significantly improved by shaping the current profile of the drive bunch. To date, several current shapes have been proposed to increase the transformer ratio and produce quasi-uniform energy loss within the drive bunch. Some of these tailoring techniques are possible as a result of recent beam-dynamics advances, e.g., transverse-to-longitudinal emittance exchanger. In this paper, we propose an alternative class of longitudinal shapes that enable high transformer ratio and uniform energy loss across the drive bunch. We also suggest a simple method based on photocathode-laser shaping and passive shaping in wakefield structure to realize a shape close to the theoretically optimized current profiles.
Kinship Verification Using Facial Images by Robust Similarity Learning

Kinship verification from face images is a new and challenging problem in pattern recognition and computer vision, and it has many potential real-world applications including social media analysis and children adoptions. Most existing methods for kinship verification assume that each positive pair of face images (with kin relationship) has greater similarity score than those of negative pairs without kin relationships under a distance metric to be learned. In practice, however, this assumption is usually too strict for real-life kin samples. Instead, we propose in this paper learning a robust similarity model, under which the similarity score of each positive pair is greater than average similarity score of some negative ones. In addition, we develop an online similarity learning algorithm for more scalable application. We empirically evaluate the proposed methods on benchmark datasets, and experimental results show that our method outperforms some state-of-the-art kinship verification methods in terms of verification accuracy and computational efficiency.
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

The determinantal point process (DPP) is an elegant probabilistic model of repulsion with applications in various machine learning tasks including summarization and search. However, the maximum a posteriori (MAP) inference for DPP which plays an important role in many applications is NP-hard, and even the popular greedy algorithm can still be too computationally expensive to be used in large-scale real-time scenarios. To overcome the computational challenge, in this paper, we propose a novel algorithm to greatly accelerate the greedy MAP inference for DPP. In addition, our algorithm also adapts to scenarios where the repulsion is only required among nearby few items in the result sequence. We apply the proposed algorithm to generate relevant and diverse recommendations. Experimental results show that our proposed algorithm is significantly faster than state-of-the-art competitors, and provides a better relevance-diversity trade-off on several public datasets, which is also confirmed in an online A/B test.
New advances in ultra–stable microwave oscillators

We present the new advances in ultra-stable microwave oscillators recently obtained at the de- partment LPMO of the Institut FEMTO-ST Besancon. These microwave references are based on Sapphire Whispering Gallery Mode Resonators presenting high-Q factor. Different technologies have been developed with these resonators to fulfill the new requirements in term of phase noise or frequency stability for diverse scientific and technical applications.
Studies on Noise Robust Automatic Speech Recognition

Noise in everyday acoustic environments such as cars, traffic environments, and cafeterias remains one of the main challenges in automatic speech recognition (ASR). As a reserch theme, it has received wide attention in conferences and scientific journals focused on speech technology. This article collection reviews both the classic and novel approaches suggested for noise robust ASR. The articles are literature reviews written for the spring 2009 seminar course on noise robust automatic speech recognition (course code T-61.6060) held at TKK.
Characterization of rice stripe virus: a heavy component carrying infectivity.

Summary Rice stripe virus (RSV) preparations contain a previously unreported nucleoprotein component (nB) which sediments faster in sucrose gradients than middle (M) and bottom (B) components; the latter two components are 20-fold more concentrated than nB. Electron microscopy of purified nB preparations revealed filamentous particles (8 nm wide), and other structures which might be derived from these particles. The nB preparations contained four RNA species of mol. wt. 0.9 × 106, 1.0 × 106, 1.4 × 106 and 1.9 × 106 (2700, 3000, 4100 and 5600 nucleotides respectively); the three smaller RNAs may be derived from M and B components contaminating nB. A single protein (mol. wt. 3.2 × 104) was present in M, B and nB preparations. The nB component appears to be required for infectivity because the planthopper vector (Laodelphax striatellus) became viruliferous after injection with nB but not after injection with M or B.
Deacetylation of Chitin and the Properties of Chitosan Films with Various Deacetylation Degrees

The degree of deacetylation is the proportion of glucosamine monomer residues in chitin. It affects many properties of chitosan. The objectives of this research were to study the deacetylation of chitin by alkaline and to investigate chitosan film properties with different degrees of deacetylation. Chitin was deacetylated by boiling (95°C) in concentrated sodium hydroxide (50%) solution for 120-300 minutes. The degree of deacetylation of chitosan was determined by potentiometric titration method. Chitin possessed a degree of deacetylation of 7.74%. The alkaline deacetylation produced chitosan with a degree of deacetyl- ation of 15.24-70.19%. We found a linear relationship between the degree of deacetylation and deacetylation time (degree of deacetylation = 2.476 + 0.230t, R 2 = 0.915). The deacetylation time had no effect on the yield and whiteness of the obtained chitosans. Film was formed from the obtained chitosan at each deacetylation time and their properties investigated. Increasing the deacetylation time increased the tensile strength, elongation and water vapor transmission rate of the films. In contrast, redness (a*) and yellowness (b*) of the films decreased.
Registration of 'Red Ruby' wheat

‘Red Ruby’ (Reg. No. CV-1072, PI 662035) soft red winter wheat (Triticum aestivum L.) was developed by the Michigan Agricultural Experiment Station and released in 2007 via an exclusive licensing agreement through Michigan State University Technologies. Red Ruby was selected from the cross Pioneer ‘2552’/Pioneer ‘2737W’ made in 1995. The original objective of the cross was the development of high-yielding soft white winter wheats with good end-use quality. Although soft white wheat is a very valuable commodity in Michigan, currently more soft red wheat is produced, and therefore there is also a high demand for improved soft red wheats. Red Ruby is a high-yielding, F 4 –derived line with the original experimental number E1007R. A bulk breeding method was used to develop the cultivar, with bulk selections in early generations, followed by a headrow selection in the F 5 and bulking again in later generations. In addition to standard yield-test criteria, milling and baking performances also were considered for selection. Red Ruby was released because of its high yield, high test weight, and red grain color. Red Ruby is well adapted to Michigan.
Analysis and Design of Inductive Power Transfer Systems for Automotive Battery Charging Applications

 Abstract — Transferring electrical power without any wiring has been a dream since late 19 th century. There were some advances in this area as to know more about microwave systems. However, this subject has recently become very attractive due to their practiScal systems. There are low power applications such as charging the batteries of contactless tooth brushes or implanted devices, and higher power applications such as charging the batteries of electrical automobiles or buses. In the first group of applications operating frequencies are in microwave range while the frequency is lower in high power applications. In the latter, the concept is also called inductive power transfer. The aim of the paper is to have an overview of the inductive power transfer for electrical vehicles with a special concentration on coil design and power converter simulation for static charging. Coil design is very important for an efficient and safe power transfer. Coil design is one of the most critical tasks. Power converters are used in both side of the system. The converter on the primary side is used to generate a high frequency voltage to excite the primary coil. The purpose of the converter in the secondary is to rectify the voltage transferred from the primary to charge the battery. In this paper, an inductive power transfer system is studied. Inductive power transfer is a promising technology with several possible applications. Operation principles of these systems are explained, and components of the system are described. Finally, a single phase 2 kW system was simulated and results were presented. The work presented in this paper is just an introduction to the concept. A reformed compensation network based on traditional inductor-capacitor-inductor (LCL) topology is proposed to realize robust reaction to large coupling variation that is common in dynamic wireless charging application. In the future, this type compensation should be studied. Also, comparison of different compensation topologies should be done for the same power level.
PHYLOGENETIC SIGNAL OF SUBSETS OF MORPHOLOGICAL CHARACTERS: A CASE STUDY IN THE GENUS ERYTHEMIS (ANISOPTERA: LIBELLULIDAE)

Erythemis Hagen, 1861 shows a considerable variation in genitalic characters, body coloration and wing venation. Since it is known that these traits are affected by different kinds of selection that probably blur their phylogenetic signal, we chose the genus Erythemis as a model taxon to analyze and compare the phylogenetic signal of these and other morphologic characters. A cladistic analysis was performed using ten species of the genus plus another seventeen species of Libellulidae as outgroup. Characters were defined following standard criteria and were managed using the software DELTA. Tree search was performed with the software NONA. Partitioned and combined analyses were conducted. Character tracking of characters with ri=100 was used to identify synapomorphies. In agreement with the literature, color characters provided strong phylogenetic signal, meanwhile, genitalia characters offered no synapomorphies. We did not find any character that could support the monophyly of Erythemis. The only clade that has strong support from the morphologic set of characters is (E. vesiculosa, (E. simplicicollis, E. collocata)). Contrary to the results found in other Odonata, wing characters offered synapomorphies for some Erythemis clades.
The Effects of Biochar and Its Combination with Compost on Lettuce (Lactuca sativa L.) Growth, Soil Properties, and Soil Microbial Activity and Abundance

Impacts of biochar application in combination with organic fertilizer, such as compost, are not fully understood. In this study, we tested the effects of biochar amendment, compost addition, and their combination on lettuce plants grown in a soil poor in nutrients; soil microbiological, chemical, and physical characteristics were analyzed, together with plant growth and physiology. An initial screening was also done to evaluate the effect of biochar and compost toxicity, using cress plants and earthworms. Results showed that compost amendment had clear and positive effects on plant growth and yield and on soil chemical characteristics. However, we demonstrated that also the biochar alone stimulated lettuce leaves number and total biomass, improving soil total nitrogen and phosphorus contents, as well as total carbon, and enhancing related microbial communities. Nevertheless, combining biochar and compost, no positive synergic and summative effects were observed. Our results thus demonstrate that in a soil poor in nutrients the biochar alone could be effectively used to enhance soil fertility and plant growth and biomass yield. However, we can speculate that the combination of compost and biochar may enhance and sustain soil biophysical and chemical characteristics and improve crop productivity over time.
Developing a Real-Time Gun Detection Classifier

Using real-time object detection to improve surveillance methods is a promising application of Convolutional Neural Networks (CNNs). One particular application is the detection of hand-held weapons (such as pistols and rifles). Thus far, previous work has mostly focused on weapon-based detection within infrared data for concealed weapons. By contrast, we are particularly interested in the rapid detection and identification of weapons from images and surveillance data. For our project, we used a Tensorflow-based implementation of the Overfeat network as an integrated network for detecting and classifying weapons in images. Our best performance was achieved on Overfeat-3 with 93% training accuracy and 89% test accuracy with adjusted hyperparameters.
Non-metric Similarity Graphs for Maximum Inner Product Search

In this paper we address the problem of Maximum Inner Product Search (MIPS) that is currently the computational bottleneck in a large number of machine learning applications. While being similar to the nearest neighbor search (NNS), the MIPS problem was shown to be more challenging, as the inner product is not a proper metric function. We propose to solve the MIPS problem with the usage of similarity graphs, i.e., graphs where each vertex is connected to the vertices that are the most similar in terms of some similarity function. Originally, the framework of similarity graphs was proposed for metric spaces and in this paper we naturally extend it to the non-metric MIPS scenario. We demonstrate that, unlike existing approaches, similarity graphs do not require any data transformation to reduce MIPS to the NNS problem and should be used for the original data. Moreover, we explain why such a reduction is detrimental for similarity graphs. By an extensive comparison to the existing approaches, we show that the proposed method is a game-changer in terms of the runtime/accuracy trade-off for the MIPS problem.
Empirical and Explanatory Approach of Support Effect on Newly Created Firms’ Performance

The objective of this paper is to identify the different forms of entrepreneurial support and assess their impact on the performance of newly established companies in order to identify the most appropriate support forms for these companies. To achieve this goal, our research is based on a literature review on the question followed by an empirical study on 127 newly established companies to make the connection between theory and reality. Using two types of statistical tools namely fuel descriptive tools such as principal component factor analysis for the purification of scales measuring performance and support; explanatory guidance tools such as multiple linear regressions to test our research hypothesis taking into account the phenomenon of interaction between the possible dimensions mentoring, we found a positive impact of support to newly established firms on the performance. The linear regression linking the variable "support" and the variable "performance" showed that three of the four dimensions of the variable support highlighted by factor analysis (support by the network and commercial relationship, financial support by professional organizations for funding and technical and managerial support by independent experts) are all positively and significantly related to performance.
Higher-Bandwidth Off-Chip Transmission Using Visual Set-Up

The very first time, this paper presents a proper system-level analytical method of evaluate the worst-situation crosstalk noise and SNR in arbitrary fat-tree-based ONoCs. The analyses are carried out hierarchically in the fundamental optical device level, then in the optical router level, and lastly in the network level. An over-all 4 × 4 optical router model is recognized as to allow the suggested approach to be adaptable to fat-tree-based ONoCs utilizing an arbitrary 4×4 optical router. Optical systems-on-nick (ONoCs) have proven the possibility to become substituted with electronic systems-on-nick (NoCs) to create substantially greater bandwidth and much more efficient power consumption both in on- and off-nick communication. However, fundamental optical devices, what are critical factors in constructing ONoCs, experience inevitable crosstalk noise and power loss the crosstalk noise in the fundamental devices builds up in large-scale ONoCs and significantly hurts the signal-to-noise ratio (SNR) in addition to restricts the network scalability. Using the suggested general router model, the worst-situation SNR link candidates within the network are determined. Furthermore, we use the suggested analyses to some situation study of fat-tree-based ONoCs utilizing an optical turnaround router (OTAR). Quantitative simulation results indicate low values of SNR and scalability constraints in massive fat-tree-based ONoCs, which is a result of our prime power crosstalk noise and power loss.
Pinned Luminescence Emission and Absorbance Band from Ultrasmall Ball-Milled Cd0.3Zn0.7Se Nanocrystals

We report the pinned absorbance and emission spectra of Cd0.3Zn0. 7Se nanocrystals synthesized via mechanical alloying. The first emission peaks of Cd0.3Zn0. 7Se nanocrystals milled for 5 and 10 h are observed at 3.36 eV, while the absorbance spectra of those milled for 10 and 20 h are observed at 4.47 eV. The emission peaks of nanocrystals milled for 5, 10, and 20 h have broad emissions centered at 2.90, 2.88, and 2.92 eV, respectively. Transmission electron microscopy histogram shows that each nanocrystal size distribution has a single population maxima of <2 nm. In addition, the center of each size distribution shifts toward the ultrasmall particles upon continuous milling. Particle sizes (d) of 0.73 nm are calculated from the first excitonic peaks of the pinned absorbance bands through the semiempirical sizing equation. The continuous reduction in particle sizes increases the surface-to-volume ratios of the nanocrystals. This increase eventually results in an increase in the surface states that translate into low photoluminescence intensity of pinned emission.
Protective Effect of Vitamins C and E on Malathion-Induced Nephrotoxicity in Male Rats

The male Wistar rats were given malathion and/or vitamin C+vitamin E daily via gavage for 4 weeks. When malathion-, vitamins C+E plus malathion-treated groups were compared to control, body and kidney weights decreased; serum urea, uric acid and creatinine levels increased significantly. Vitamins C+E plus malathion-treated group was compared to malathion-treated group there were statistically decrease in the serum urea level, while no significant changes were observed in other parameters. Light microscopic investigations revealed that both the malathion- and vitamins C+E plus malathion-treated groups exhibited histopathological changes in kidney. It appears that vitamins C and E didn’t ameliorate malathion-induce nephrotoxicity. Keywords : Organophosphate insecticide, Malathion, Nephrotoxicity, Vitamin C, Vitamin E.
Nearly Zero-Energy Regulation and Buildings Built with Prefabricated Technology: The Case of Hungary

There is an urgent need nowadays to reduce energy demand and the current level of greenhouse gas emission and use renewable energy sources increase in energy efficiency. On the other hand, the European Union (EU) countries are largely dependent on energy imports and are vulnerable to disruption in energy supply, which may, in turn, threaten the functioning of their current economic structure. Residential buildings represent a significant part of the energy consumption of the building stock. Only a small part of the building stock is exchanged every year, thus it is essential to increase the energy efficiency of the existing buildings. Present paper focuses on the buildings built with industrialized technology only, and their opportunities in the boundaries of nearly zero-energy regulation. Current paper shows the emergence of panel construction method, and past and present of the ‘panel’ problem in Hungary with a short outlook to Europe. The study shows as well as the possibilities for meeting the nearly zero and cost optimized requirements for residential buildings by analyzing the renovation scenarios of an existing residential typology. Keywords—Budapest, energy consumption, industrialized technology, nearly zero-energy buildings.
Seeing Differently: Putting MBA Learning into Practice

MBA programmes frequently form part of managers training and development activities. However, such programmes have been subject to intensifying criticism, with critics arguing that MBAs do little to enhance management practice. Against this background, the paper presents an exploratory study of UK MBA graduates, which sought to identify the ways in which their MBA programme was seen to contribute to management practice. The findings suggest that the MBA is seen to add value to management practice in terms of seeing differently, in respect of self, others and organization.
Sharing several secrets based on Lagrange's interpolation formula and Cipher feedback mode

In a multi-secret sharing scheme, several secret values are distributed among a set of n participants. In 2000 Chien et al.’s proposed a (t;n) multi-secret sharing scheme. Many storages and public values required in Chien’s scheme. Motivated by these concerns, some new (t;n) multi-secret sharing schemes are proposed in this paper based on the Lagrange interpolation formula for polynomials and cipher feedback mode (CFB), which are easier than Chien’s scheme in the secret reconstruction and require fewer number of public values and storages than Chien’s scheme. Also our schemes don’t need any one-way function and any simultaneous equations.