Miracle-dz/UniFAR-FTUs huggingface dataset:
IDENTIFYING EXOPLANETS FROM TRANSIT SURVEY DATA USING NEURAL NETWORKS

In this paper, we discuss three methods for using machine learning to determine if a star has an exoplanet from transit survey data. The three models include a Convolutional Neural Network (CNN), a CNN autoencoder, and a Fully Connected Neural Network (FCNN). We used data from the Ke-pler Space Telescope to train the models, however, since there were very few exoplanet samples represented in the data, we used Synthetic Minority Oversampling Technique (SMOTE) to over-sample the exoplanet class. The results were promising for the supervised learning methods, CNN and FCNN, however, the unsupervised method, CNN autoencoder, did not produce meaningful results
Fast and Efficient Hardware Implementation of 2D Gabor Filter for a Biologically-Inspired Visual Processing Algorithm

Background and Objectives: Programmable logic devices, such as Field Programmable Gate Arrays, are well-suited for implementing biologically-inspired visual processing algorithms and among those algorithms is HMAX model. This model mimics the feedforward path of object recognition in the visual cortex. Methods: HMAX includes several layers and its most computation intensive stage could be the S1 layer which applies 64 2D Gabor filters with various scales and orientations on the input image. A Gabor filter is the product of a Gaussian window and a sinusoid function. Using the separability property in the Gabor filter in the 0° and 90° directions and assuming the isotropic filter in the 45° and 135° directions, a 2D Gabor filter converts to two more efficient 1D filters. Results: The current paper presents a novel hardware architecture for the S1 layer of the HMAX model, in which a 1D Gabor filter is utilized twice to create a 2D filter. Using the even or odd symmetry properties in the Gabor filter coefficients reduce the required number of multipliers by about 50%. The normalization value in every input image location is also calculated simultaneously. The implementation of this architecture on the Xilinx Virtex-6 family shows a 2.83ms delay for a 128×128 pixel input image that is a 1.86X-speedup relative to the last best implementation. Conclusion: In this study, a hardware architecture is proposed to realize the S1 layer of the HMAX model. Using the property of separability and symmetry in filter coefficients saves significant resources, especially in DSP48 blocks. ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. ======================================================================================================
Indirect Hyperfine Interactions in the Paramagnetic Resonance Spectra of Aromatic Free Radicals

It is shown that an electron spin polarization associated with an odd electron in a π‐molecular orbital in an aromatic free radical can, through an atomic exchange coupling mechanism, produce an appreciable resultant electron spin polarization in s‐atomic orbitals at the aromatic protons. This resultant spin polarization gives rise to hyperfine interactions with aromatic protons which are of the same order of magnitude as those observed in the paramagnetic resonance spectra of aromatic free radicals. An equation is developed which relates (proton‐spin)‐(electron‐spin) hyperfine coupling constants to the π distribution of the odd electron in the aromatic free radicals.
Early White-Box Cryptography and Data Obfuscation Report

The goal of this deliverable is to report about the project activities on data protection, they are Task 2.1 data obfuscation and Task 2.2 White-Box cryptography. We present a survey of techniques for data obfuscation and for white-box cryptography along with an evaluation of their pros and cons. Based on the outcome of the analysis performed, the most promising variants are selected for implementation and integration in the ASPIRE compiler tool chain. Additionally, preliminary implementation is subject to experimental validation to measure performance overhead due to protection.
Study of the charged current interactions of the CNGS neutrino beam in the OPERA detector target

In this thesis the charged current interactions of the CNGS neutrino beam in the OPERA detector target are studied. The analized sample covers the whole data taking period, from 2008 to 2012. The PoT number for each year is calculated and corrected for the DAQ inefficiencies. The track reconstruction efficiency is investigated, performing a comparison between an algorithm not relaying on tracks for charged current identification and an algorithm looking for muon tracks. The muon track finding efficiency is evaluated and the detector stability is checked, testing whether the number of charged current events and muon track events is constant during the data taking period, once corrected for the number of recorded PoT and for target mass variations. For the charged current sample, the charge × momentum distribution is studied and the μ+ to μ− ratio is evaluated. The momentum spectra are examined and the Bjorken y distribution is investigated in detail.
New Results on Sparse Autoencoders for Posture Classification and Segmentation

This paper is a sequel on posture recognition using sparse autoencoders. We conduct experiments on a posture dataset and show that shallow sparse autoencoders achieve even better performance compared to a convolutional neural network, state-of-the-art model for recognition tasks. Also, our results support robust image representation from the autoencoder model rendering further ﬁnetuning unnecessary. Finally, we suggest using sparse autoencoders for image segmentation.
Exploring Methods on Tiny ImageNet Problem

In this project, we are interested in building a neural network architecture for the image classiﬁcation task on the Tiny ImageNet dataset. We ﬁrst modiﬁed the last layer (fully-connected layer) of the well-known ResNet architecture to obtain a good performance as a baseline. We further tried incorporating LSTM’s on the last two convolutional layers of the ResNet architecture. We explored different such architectures involving LSTM’s and compared the results of these networks.
Effective Factors on Knowledge Commercialization in Payam-e-Noor University

Commercialization of research results refers to a set of efforts aimed at raising capital and increasing the relationship between the academic and research sector and economic and social sector. The present study intends to identify and rank the factors affecting the commercialization process of research results at Payam-e-Noor University in order to determine the extent of influence of the identified factors. Therefore, this is an applied research in terms of purpose, which studies the factors affecting the process of knowledge commercialization in previous studies, using the confirmatory factor analysis approach. Using fuzzy hierarchical analysis, it was determined that legal, economic, manpower, cultural, structural and political, and communicational and information-related barriers are the first to sixth barriers to the knowledge commercialization in Payam-e-Noor University. Using fuzzy DEMATEL technique, the effectiveness and affectability of factors involved in the process of knowledge commercialization were identified. Accordingly, weak legal framework for supporting idea people at the university, inefficiency and ineffectiveness of the rules and regulations for commercialization, lack of regulation for the apportionment of financial gain from commercialization among scholars, lack of skilled and expert human resources in the universities, lack of facilities and financial resources for research commercialization, and lack of mutual recognition between university and industry had the most affectability. In other words, these are the dependent/outcome variables of the model. On the other hand, inadequate knowledge of the faculty members, poor fund management in the university, weakness of universities in wealth creation, absence of university entrepreneurial missions, the absence of up-to-date and effective idea banks and databases in the universities, and lack of effective communication between students and industry sector’s activists had the most effectiveness. In other words, these variables are the independent/causal variables of the model.
VLSI design of a novel Area efficient FIR Filter design using RoBA multiplier

: The increasing complexity of the DSP systems demanding higher computational performance in its architecture. But the traditional DSP arithmetic has limits in terms of speed of calculations. More over in some applications speed is more important than accuracy. In order to further enhance performance, approximate arithmetic circuits are designed with some loss of accuracy to reduce energy consumption and increase the speed. These approximate circuits have been considered for error-tolerant applications. In this paper, we propose an FIR filter based on Rounding Based Approximate (ROBA) Multiplier. In this multiplier the operands are rounded to the nearest exponent of two. This approximation will lead to simplification of multiplication operation thus reducing area and increasing speed. As the multiplier is the slowest element in the system, it will affect the performance of the overall FIR filter. The proposed ROBA multiplier based FIR filter was compared with HAAM and DRUM multiplier based FIR filters. The results shown significant reduction in the power and area of the FIR filter with proportional improvement in the multiplier speed. The Filter was implemented and tested using Virtex 5 FPGA at an operating voltage of 1.0V using Xilinx ISE environment.
Experimental and numerical simulation of extreme operational conditions for horizontal axis wind turbines based on the IEC standard

Abstract. In this study, the possibility of simulating some transient and deterministic extreme operational conditions for horizontal axis wind turbines based on the IEC 61400-1 standard using 60 individually controlled fans in the Wind Engineering, Energy and Environment (WindEEE) Dome at Western University was investigated. Experiments were carried out for the extreme operational gust (EOG), positive and negative extreme vertical shear (EVS), and extreme horizontal shear (EHS) cases, tailored for a scaled 2.2 m horizontal axis wind turbine. For this purpose, firstly a numerical model for the test chamber was developed and used to obtain the fans' configurations for simulating each extreme condition with appropriate scaling prior to the physical experiments. The results show the capability of using numerical modelling to predict the fans' setup based on which physical simulations can generate IEC extreme conditions in the range of interest.
Analysis of Z-Source Inverters in Wireless Power Transfer Systems and Solutions for Accidental Shoot-Through State

Wireless power transfer (WPT) technology has been the focus of a lot of research due to its safety and convenience. The Z-source inverter (ZSI) was introduced into WPT systems to realize improved system performance. The ZSI regulates the dc-rail voltage in WPT systems without front-end converters and makes the inverter bridge immune to shoot-through states. However, when the WPT system is combined with a ZSI, the system parameters must be configured to prevent the ZSI from entering an “accidental shoot-through” (AST) state. This state can increase the THD and decrease system power and efficiency. This paper presents a mathematical analysis for the characteristics of a WPT system and a ZSI while addressing the causes of the AST state. To deal with this issue, the impact of the system parameters on the output are analyzed under two control algorithms and the primary compensation capacitance range is derived in detail. To validate the analysis, both simulations and experiments are carried out and the obtained results are presented.
STUDY ON EFFECTS OF LIGHT WEIGHT AGGREGATES ON COMPRESSIVE AND FLEXURAL STRENGTH OF CONCRETE

The present day world is witnessing construction of very challenging and difficult civil engineering structures. In this study comparison has been made between plain cement concrete and light weight concrete having different proportion of aggregates and admixtures. i.e., Expanded Clay Aggregates: 0%, 25%, 50%, 75% and 100% with coarse aggregate, silica fumes 10% and PVA(Poly Vinyl Alcohol) 1.6% of constant replacement with cement and water respectively. It helps to increase the volume of concrete and hence reduce the weight. In Design of concrete structures, light weight concrete plays a prominent role in reducing the density and to increase the thermal insulation. These may relate of both structural integrity & serviceability. More environmental and economical benefits can be achieved if waste materials can be used to replace the fine light weight aggregate.
Does Poverty Have any Effect on Child Neglected in Indonesia?

Child neglect is the most common maltreatment that is not directly visible and difficult to be identified than other various forms of children maltreatment. Child neglect is also alleged having a harmful and long-term impact on child development, especially in mental and physical health, cognitive, intelligence, emotional and psychological aspects, and social behavior as well. In term of demographic point of view, the relationship between poverty and child neglect is an interesting topic, and is still being questioned by experts. This research aims to explain the effects of household poverty on child neglect in Indonesia. Based on SUSENAS 2015 data, this research applies a multinomial logistic regression in analysis. The result of the analysis shows that the household poverty level statistically has a significant influence on child neglect. In other words, children living in poor households tend to be neglected. The research findings report that poverty has a multiplier impact on neglected child. Other socio-demographic variables, such as age and gender of children, education level of their mothers, employment status of their parents, presence of biological mother within household, size of household and place of residence also have significant effects on child neglect. Therefore, this study provides information that is highly relevant to child neglect prevention strategies. JEL Classification: I31, I32
Pressurized Propane: An Alternative Technique to Increase Inulinase Activity

Abstract This work aims to assess the influence of pressurized propane treatment on the enzymatic activity of immobilized inulinases. The effects of system pressure, exposure time, and depressurization rate on the enzymatic activity were evaluated through central composite designs. Propane treatment (3.5 h) increased the residual activity of the non-commercial inulinase from Klyveromyces marxianus NRRL Y-7571 by 176% at 150 bar and a depressurization rate of 60 bar/min. Propane treatment increased the residual activity of Aspergillus niger commercial inulinase by 178% at 270 bar during 6 h exposure at 100 bar/min, the highest depressurization rate. Enzymatic activities changed significantly depending on the enzyme source and the experimental treatment conditions investigated.
HAEMATOLOGICAL RESPONSE OF ACIPENSER STELLATUS JUVENILES IN COLD SHOCK STRESS

During the intensive growth of the sturgeons, different stressful factors may occur which could act isolated or in association, influencing their physiological state. In these conditions, the organism tries to cope through a series of biochemical and physiological changes as a result of the activation, in cascade, of some mechanisms of the neuroendocrine response to these stressors. This paper presents the results of the haematological investigations in a controlled experiment that followed the effect of the cold shock stress of water temperature, in the range 12.8 oC ÷ 7 oC (initially, after 1 hour, respectively after 3 hours) on the physiology of the Acipenser stellatus species (stellate sturgeon), a very valuable species for sturgeon farming in Romania. This experiment was part of a series of experiments applied to intensive sturgeon breeding with the aim of selecting specific molecular and biochemical markers (gene and protein expressions) to allow the analysis of the response mechanisms to stress factors in aquaculture. Haematological indices and erythrocyte constants were determined using standard methods for veterinary haematology and the data obtained were statistically processed. The determined values of the haematological parameters ranged near the lower limit of the optimum interval for Acipenseridae. In the context of our study, although there was a constant increasing tendency of haematocrit (Ht) values with the raise of the exposure to cold (14.46% initially, 16.39% after 1 hour, respectively 17.51% after 3 hours), in parallel with a less uniform reaction of the other haematological parameters, the statistical analysis did not reveal significant differences between the three experimental groups. The obtained data show the evolution of the haematological profile of the stellate sturgeon and it is useful in completing the database with reference values for research in the field of sturgeon culture
Separation of Seyferts and LINER Galaxies Using Eddington Ratio Derived from the Spectral Energy Distribution

In this study the Eddington Ratio of an AGN was examined to see how it would effect the the placement of a galaxy on a BPT diagram. The Eddington Ratio of an object is the ratio of the total light output of that object to the maximum amount of light it can emit based on the mass of the object. BPT diagrams are diagrams that utilize emission line ratios in order to classify galaxies as star forming, Seyfert, or LINER. Seyfert and LINER galaxies are two different types of active galaxies, where Seyfert have spectra with emission lines from very highly ionized atoms and LINERs have spectra with emission lines from low ionized atoms. It was theorized that LINERs would have a lower Eddington Ratio leading to a trend in the placement on a BPT diagram as Seyferts transition to LINERs. LINERs were believed to have a lower Eddington Ratio because while they can be the same size as a Seyfert, they have emission lines from lower ionized atoms. This led to the belief that the photons coming from the nuclei of the LINER were less energetic. The Eddington Ratio was found by analyzing the spectral energy distribution (SED) of 12 galaxies. A SED is a plot of the luminosity of light at every frequency. To find the total amount of light from this plot the area under the curve was found using an integral. This area was divided by the Eddington Limit of the galaxy and thus the Eddington Ratio was created. No correlation was found between the Eddington Ratio and the placement on a BPT diagram.
Akdağmadeni (Yozgat) Kurşun-Çinko Yatağının Makro-Mikro Dokusal Özellikleri ve Kökensel Yorumu Macro-Micro Textures and Genetic Evoluation of Lead-Zinc Deposits of Akdağmadeni (Yozgat) Region

In this study, macro and micro ore textures within the metamorphic rocks around the granites of Akdağmadeni Pb-Zn deposite to the east of Akdağmadeni district are presented. In the previous studies the ores were interpreted as a simple skarn type related to granites. However, in this study it is concluded that the Akdağmadeni lead-zinc deposit can be interpreted not only as skarn types but also as metamorphic types on the basis geologic, petrographic, mineralogic and structural-textural properties. Therefore, it is postulated that the Akdağmadeni lead-zinc deposite is a complex deposit in which features and / or effects of both regional and contact metamorphism are observed, rather than being a simple skarn type deposit as revealed by previous studies on the basis of the presence of granite.
TEACHERS’ SENSE OF EFFICACY AND RESPONSIBILITY FOR STUDENTS’ OUTCOMES

This study examined the influence of teachers’ sense of efficacy and their responsibility for students’ outcomes. The participants for this investigation were 60 teachers. The research data were gathered by applying the Teachers’ Sense of Efficacy Scale and Teacher Responsibility for Student Achievement Scale. The results indicated a positive relationship between teacher efficacy and teacher responsibility for student academic achievement. The results of this study highlight the importance of the teachers’ sense of efficacy beliefs and their predictor role on teachers’ responsibility for student outcomes.
Convenient Procedures for the Laboratory Preparation of Borazine

The recent design and synthesis of a range of new inorganic polymers based on borazine, B{sub 3}N{sub 3}H{sub 6}, has sparked new interest in the chemistry and properties of this ring compound. Borazine was originally discovered by Stock in 1926; however, chemical studies, as well as practical applications of borazine, continue to be held back by the absence of efficient, economical synthetic routes. The authors report simple, quick, one-step procedures by which multigram quantities of borazine may be produced from inexpensive starting materials using standard laboratory equipment.
Fine mapping of quantitive trait loci for seed-related traits in yardlong bean

Yardlong bean is an important legume of Southeast and East Asia. It is believed to have been domesticated from vegetable (pod) cowpea. Among domestication-related traits, seed size is a distinctly trait that distinguish yardlong bean from its wild ancestor which has resulted in an approximately three-fold increase in seed length. Previously, we identified major QTLs for seed-related traits on linkage group 7, which were located on pleiotropic quantitative loci. Seed-related traits are highly complex quantitative traits that are controlled by multiple quantitative loci (QTLs) with a major and several minor effects and are influenced by multiple genetic and environmental factors. Thus, it is challenging to identify the major genes for controlling seed-related traits in yardlong bean. As the basis for fine mapping, a set of near isogenic lines (NILs) was developed from the cross between yardlong bean (JP81610) and wild cowpea (JP89083) population based on three generations of backcrossing and three generations of selfing. We have been able to narrow down the location of the genes underlying seed-related traits from 4.3 Mbp to 1.65 Mbp region. The locus was associated with transgressive variation for seed-and pod-related traits in this population. The phenotype was difficult to evaluate due to the influence of pod-related traits (pod length, pod width and pod softness) affected to seed size variation, underscoring the value of using multiple approaches to phenotyping, including extreme sampling and NILs group-mean comparisons. The fact that the QTLs controlling podrelated traits have also been detected on this target region, in which the genes for seed-related traits were associated, suggest that this region may generally not randomly distributed across the genome.
Characterisation of rpsL and rrs mutations associated with streptomycin resistance in multidrug-resistant Mycobacterium tuberculosis clinical isolates (from Poland)

Zofia Bakuła, Helena Ignatowska, Katarzyna Roeske, Michał Kamiński, Agnieszka Napiórkowska, Jacek Bielecki, Ewa Augustynowicz-Kopeć, and Tomasz Jagielski Department of Applied Microbiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland Department of Microbiology, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Płocka 26, 01-138 Warsaw, Poland