Miracle-dz/UniFAR-FTUs huggingface dataset:
AI in Photography: Scrutinizing Implementation of Super-Resolution Techniques in Photo-Editors

Judging the quality of a photograph from the perspective of a photographer we can ascertain resolution, symmetry, content, location, etc. as some of the factors that influence the proficiency of a photograph. The exponential growth in the allurement for photography impels us to discover ways to perfect an input image in terms of the aforesaid parameters. Where content and location are the immutable ones, attributes like symmetry and resolution can be worked upon. In this paper, I prioritized resolution as our cynosure and there can be multiple ways to refine it. Image super-resolution is progressively becoming a prerequisite in the fraternity of computer graphics, computer vision, and image processing. It’s the process of obtaining high-resolution images from their low-resolution counterparts. In my work, image super-resolution techniques like Interpolation, SRCNN (Super-Resolution Convolutional Neural Network), SRResNet (Super Resolution Residual Network), and GANs (Generative Adversarial Networks: Super-Resolution GAN-SRGAN and Conditional GAN-CGAN) were studied experimentally for post-enhancement of images in photography as employed by photo-editors, establishing the most coherent approach for attaining optimized super-resolution in terms of quality.
Assisting Information Retrieval with Domain Speciﬁ c Topic Identiﬁ cation

:- This work attempts to report the effects behind assisting Information Retrieval with domain speciﬁ c topic identiﬁ cation through query and document classiﬁ cation. Users search for speciﬁ c information related to his / her topics of interest and hence the information retrieval systems need to focus particularly on domain speciﬁ c retrieval of relevant content. To assist such retrievals with the most speciﬁ c information to the given query, we have presented a method to identify the topic(s) of the given query; to retrieve the documents through ﬁ ltering with the most matching query topic(s) and to return the ranked list of retrieved documents with respect to the speciﬁ c domain. We have collected domain speciﬁ c queries and crawled the tourism related web data for our experiments. The preliminary experimental results show that domain speciﬁ c topic identiﬁ cation narrows down the retrieval process with more speciﬁ c information related to the tourism domain.
Adaptive changes in detoxifying enzymes of looper pest (Buzura suppressaria Guen.) of tea in relation to specific tea clone and synthetic pesticide spray

Looper, Buzura suppressaria Guen. (Lepidoptera: Geometridae) is the major defoliating pest of tea in Darjeeling foothills, plains and NE India. Midgut esterase isozymes differed in looper populations maintained on TV-1 and TV-25 tea clones. The clone-based major difference was located in the ‘Very slow moving band’ group (VSM). While three of the VSM bands were absent in the pherograms of midgut of TV-1 looper population, they were prominently present in the midgut of TV-25 reared specimens. In looper populations of pesticide-treated plantations the esterase bands of VSM-group were more elaborate along with deep staining of slow moving (SM) and fast moving (FM) bands. The presence of VSM-bands both in TV-25-reared and pesticide-exposed loopers, collected from conventional plantations, implied a common detoxifying strategy based on esterases. Moreover, the enhancement of band intensity possibly reflected a greater tolerance or resistance of the loopers to synthetic pesticides. Spectrophotometric assay of glutathone S-transferase (GST) level in loopers collected directly from plantation also showed a higher activity (625 μM / min/ mg of protein) as compared to laboratory reared ones on TV-25 (333.3 μM / min / mg of protein) indicating a more tolerance or resistance in loopers occurring in conventional tea plantations.
QSAR Studies of HEPT Derivatives Using Support Vector Machines

Human Immunodeficiency Virus type 1 reverse transcriptase is an important target for chemotherapeutic agents against the AIDS disease. 1-[2-Hydroxyethoxy-methyl]-6-(phenylthio) thymine] derivatives are potent nonnucleoside reverse transcriptase inhibitors. In the present work, quantitative structure-activity relationship analysis for a set of 79 HEPT derivatives has been investigated by means of support vector machines. The relationships between structure and activity were examined quantitatively using descriptors encoding the steric, hydrophobic, electronic and structural features of 1-[2-hydroxyethoxy-methyl]-6-(phenylthio) thymine] derivatives. The performance and predictive capability of support vector machines method are investigated and compared with other methods such as artificial neural network and multiple linear regression methods. The obtained results indicate that the support vector machines model with the kernel radial basis function can be employed as a forceful tool for quantitative structure-activity relationship studies. The contribution of each descriptor to the structure-activity relationships was evaluated.
Augmented Reality Interface for Constrained Learning from Demonstration

—This paper presents a novel augmented reality (AR) interface for the visualization and directed control of robot skill Learning from Demonstration (LfD). This system is designed for use with the Concept-Constrained Learning from Demonstration (CC-LfD) algorithm for general robotic arm manipulation tasks, in which trajectories in an LfD system are subjected to various constraints during the learning process to ensure that the desired skill is learned properly. This system provides an interactive visualization of observed and learned robot trajectories, as well as the active predicate constraints applied for CC-LfD. In this paper, we describe current work on a system for helping users give improved trajectory demonstrations using AR visualizations of constraints, as well as a planned human subjects experiment to evaluate the usefulness of this system. Additionally, we discuss future extensions of this work involving using an AR interface to modify existing trajectory demonstrations.
Determination of Biodegradation Kinetics of Bacterial Storage Organic Substrates Through Electrolytic Respirometry

Biodegradation kinetics of bacterial storage substrates can be of prime importance to designing some bioprocesses, as for example biological phosphorus removal. In this work, kinetic parameters of polyhydroxyalcanoates degradation, stored into phosphorus accumulating organisms, were determined through electrolytic respirometry. An experimental procedure, based on anaerobic substrate storage followed by respirometrically-measured aerobic degradation, was used. A lot of experimental data points were easily obtained but a reference test was neccesary in order to remove interferences of other oxygen consuming events. Oxygen uptake simulation curves were obtained through a non linear fitting estimation method, using a mathematical model that described substrate consumption and biomass growth and decay. Simulation curves correlated well with oxygen uptake data, and the parameters obtained (μmax, KS, b and Y) were similar to the ones obtained by several authors.
Less is More: Building Selective Anomaly Ensembles

Ensemble techniques for classification and clustering have long proven effective, yet anomaly ensembles have been barely studied. In this work, we tap into this gap and propose a new ensemble approach for anomaly mining, with application to event detection in temporal graphs. Our method aims to combine results from heterogeneous detectors with varying outputs, and leverage the evidence from multiple sources to yield better performance. However, trusting all the results may deteriorate the overall ensemble accuracy, as some detectors may fall short and provide inaccurate results depending on the nature of the data in hand. This suggests that being selective in which results to combine is vital in building effective ensembles---hence "less is more". In this paper we propose SELECT; an ensemble approach for anomaly mining that employs novel techniques to automatically and systematically select the results to assemble in a fully unsupervised fashion. We apply our method to event detection in temporal graphs, where SELECT successfully utilizes five base detectors and seven consensus methods under a unified ensemble framework. We provide extensive quantitative evaluation of our approach on five real-world datasets (four with ground truth), including Enron email communications, New York Times news corpus, and World Cup 2014 Twitter news feed. Thanks to its selection mechanism, SELECT yields superior performance compared to individual detectors alone, the full ensemble (naively combining all results), and an existing diversity-based ensemble.
An Analysis of the Optical System of a Length Measurement Comparator

Rimantas LAZDINAS*, Mindaugas JUREVICIUS**, Vladas VEKTERIS***, Vytautas TURLA****, Eugenijus JURKONIS***** *Vilnius Gediminas Technical University, Basanaviciaus 28, LT-03224 Vilnius, Lithuania, E-mail: r.lazdinas@gmail.com **Vilnius Gediminas Technical University, Basanaviciaus 28, LT-03224 Vilnius, Lithuania, E-mail: mindaugas.jurevicius@vgtu.lt ***Vilnius Gediminas Technical University, Basanaviciaus 28, LT-03224 Vilnius, Lithuania, E-mail: vladas.vekteris@vgtu.lt ****Vilnius Gediminas Technical University, Basanaviciaus 28, LT-03224 Vilnius, Lithuania, E-mail: vytautas.turla@vgtu.lt *****Vilnius Gediminas Technical University, Basanaviciaus 28, LT-03224 Vilnius, Lithuania, E-mail: eugenijus.jurkonis@vgtu.lt
The Uninhibited Evolution of the Human Persona: A Transhumanistic Study of Anil Menon’s The Beast with Nine Billion Feet

Debates on intuition about transformed humankind in the future have led to the conception of transhumanism. It is a new philosophical movement to express the ideology that humanism will evolve by employing science and technology. Supporters of transhumanism believe that scientific aid in the evolution of humans will take them beyond the bounds of physical and mental limitations; eventually, it will make them immortals. The influence of transhumanism in literature has given birth to seminal works of art, particularly science fiction. Anil Menon’s The Beast with Nine Billion Feet is one such novel which sprang out the moral issues due to the rapid growth of science and technology affecting social, cultural, and political scenarios in India. The story is about genetic engineering and its impact on the socio-political problems. In addition to unfolding the threats and opportunities of transhumanism, the novel also touches on the issues of young adults like acquiring autonomy and finding their true identity. This study attempts to bring out the trepidation and chaos resultant of the period of transition and the multiple challenges and threats to the human race.
COMMENT ON : A METHOD FOR CALCULATING BACTERIAL DEPOSITION COEFFICIENTS USING THE FRACTION OF BACTERIA RECOVERED FROM LABORATORY COLUMNS

SIR: Using an analytical solution to an advective-dispersive equation for bacterial transport, Bolster et al. (1) have correctly concluded that bacterial deposition coefficients in column experiments can be calculated based solely on the total influent and effluent bacterial concentrations. However, there are two important limitations of using their analytical and experimental approach. First, their analytical solution is not valid over the entire range of Peclet (Pe) numbers used in their analysis. Second, their method of measuring only the total recovery of bacteria in the effluent (rather than cells retained in the column) eliminates studying other important features of particle deposition within the column. Bolster et al. (1) clearly illustrate how the deposition coefficient, κ1, is related to the fractional recovery by
Analysis of polyolefin blends by crystallization analysis fractionation

Crystallization analysis fractionation (CRYSTAF) is a new technique for the analysis of the composition of polyolefin blends. CRYSTAF fractionates blend components of different crystallizability by slow cooling of a polymer solution. During the crystallization step the concentration of the polymer solution is monitored as a function of temperature. Different from DSC, blends of HDPE, LDPE and PP are separated into the components and quantitative information can be obtained directly from the crystallization curves. Even very low amounts of one component in PE/PP and HDPE/LDPE blends can be quantified with good accuracy. The applicability of the technique for the analysis of Ziegler-Natta, and metallocene-catalyzed polyolefins is demonstrated and the analysis of waste plastics fractions is discussed.
Polymorphisms of CAPN1, CAST, GDF5, TG5 and GH genes in Russian Hereford cattle

Dzhulamanov, K. , Gerasimov, N. , Dubovskova, M. , & Baktygalieva, A. (2019). Polymorphisms of CAPN1, CAST, GDF5, TG5 and GH genes in Russian Hereford cattle. Bulgarian Journal of Agricultural Science, 25(2), 375–379 The allelic and genetic polymorphisms of genes of calpain 1 (CAPN1), calpastatin (CAST), growth differentiation factor 5 (GDF5), thyroglobulin 5 (TG5) and growth hormone (GH) was examined in Russian population of Hereford cattle. The studies were carried out on purebred Hereford animals (sires, cows, bull-calves, heifers) from Chelyabinsk Region and Stavropol Territory, Russia. Maximum frequency of the genotype GG was observed at the locus of CAPN1 gene, amounting to 0.632. The study of single nucleotide polymorphisms (SNPs) in CAST gene showed a high prevalence of animals with CC genotype – 0.700. The genetic variability in GDF5 gene locus indicates the predominance of animals with AA genotype in studied population. The allelic polymorphism in thyroglobulin gene (TG5) is characterized by a high concentration of the CC (0.741) homozygous genotypes. The homozygotes concentration in growth hormone gene (GH) is in the range of 0.202-0.494, with the maximum value in LL variant and minimal in VV genotype. The maximum heterozygosity, which varied between 0.289-0.303, was observed for CAPN1 and GH genes across genetic markers studied in Hereford population. Minimum effective number of alleles (1.120) was established in GDF5 gene. A relatively high effective number of alleles was fi xed in GH gene (1.843). The lowest genetic diversity was observed in Russian population. These results can be used to improve the breeding and selection work with Hereford cattle.
The Effect of E-Service Quality on Customer Satisfaction and Loyalty (Case Study at E-Marketplace XYZ in Indonesia)

Article history: Received: 16 June, 2020 Accepted: 25 September, 2020 Online: 08 November, 2020 Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on that background we want to measure how much influence the quality of services provided by the Online Marketplace to customers has an impact on customer satisfaction and customer loyalty. The measurement method used is to use E-Service Quality, to determine customer satisfaction (Customer Satisfaction) and determine the level of customer loyalty (Customer Loyalty). This research uses a quantitative approach and uses random sampling techniques. Data collection using a questionnaire with data samples totaling 102 respondents. The results of this study indicate that there is a significant relationship between E-Service Quality, Customer Satisfaction and Customer Loyalty to customers that increase customer online shopping transactions so that companies are able to compete with other companies.
Ancient-inspired: a novel source of inspiration for development of metaheuristic algorithms

—In this letter, for the first time, a novel source of inspiration for the development of metaheuristic algorithms is introduced. This source of inspiration, which is called the ancient-inspired, by combining all good features of the current source of inspirations can lead to the development of efficient algorithms. There have been numerous limitations in the ancient era, but various man-made structures indicate that limitations and lack of facilities have led to some sort of optimization. Technological breakthroughs and specific strategies in the ancient era have created ancient relics and structures some of which have remained to this day. A closer look at these ancient relics shows that the methods, strategies, and technologies used in antiquity are far more advanced and optimized than we would have imagined. While introducing this novel source of inspiration, this letter offers researchers a new classification of metaheuristic algorithms.
On Driver Behavior Recognition for Increased Safety: A Roadmap

Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers’ states, e.g., whether she/he is emotionally apt to drive. In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical algorithms used for human emotion classification. Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers. We then provide our view on a novel perception architecture for driver monitoring, built around the concept of Driver Complex State (DCS). DCS relies on multiple non-obtrusive sensors and Artificial Intelligence (AI) for uncovering the driver state and uses it to implement innovative Human–Machine Interface (HMI) functionalities. This concept will be implemented and validated in the recently EU-funded NextPerception project, which is briefly introduced.
Experimental Study on Energy and Exergy Analysis of a Counter Hollow Fiber Membrane-based Humidifier

The counter hollow fiber membrane-based humidifier is used for air humidification, which avoids the problem of liquid droplets carryover in traditional liquid humidification technology. In this study, an experimental rig was established for the hollow fiber membrane humidification system. The effects of air mass flow rate, air temperature, air relative humidity, water mass flow rate, water temperature on air humidity ratio increase, air temperature difference, power consumption per unit of humidification, humidification efficiency, energy efficiency, exergy destruction and exergy efficiency were experimentally investigated using the energy and exergy method. The results reveal the enhancement of the exergy efficiency with the increase in inlet air relative humidity, inlet air dry bulb temperature, air mass flow rate, and water mass flow rate. The results show that the humidification performance of the system is strongly influenced by the water temperature, while the humidification effect is more significant for the low temperature and low air humidity. It was found that as the relative humidity and dry bulb temperature of the air increased, the exergy destruction decreased significantly and the exergy efficiency increased. Increasing the air mass flow rate and water flow temperature resulted in an increase in both exergy destruction and exergy efficiency, while increasing the water flow rate had little effect on exergy destruction and fire efficiency. The exergy efficiency of the system ranged from 0.37 to 0.71. The maximum exergy destruction was 3.74 W, which occurred at air RHa,1=30%, air temperature Ta,1=30°C, water temperature Tw,1=28°C, and air and water flow rates of 32 kg/h and 7 kg/h, respectively. The humidification efficiency of the system ranged from 0.712 to 0.925, and the power consumption per unit of humidification ranged from 0.94 g/(h•W) to 12.50 g/(h•W).
Controlled Multiscale Synthesis of Porous Coordination Polymer in Nano/Micro Regimes

A simple and straightforward method combines microwave-assisted solvothermal conditions with the coordination modulation method to achieve the size-controlled formation of the porous coordination polymer (PCP), [Cu3(btc)2] (where btc represents benzene-1,3,5-tricarboxylate) in the nano/micro regimes. The addition of a monocarboxylic acid modulator to the reaction mixture greatly influenced the morphology of the resulting sample, through competitive coordination interactions during the crystal formation process. By adjusting the concentration of dodecanoic acid additive, we could subtly control the nucleation rate of a [Cu3(btc)2] framework and, thus, the resulting crystal size. Homogeneous nanocrystals of the PCP with sizes ranging from few tenths of nanometers up to few micrometers could be successfully obtained in a controlled manner. X-ray diffractions and gas sorption measurements revealed highly crystalline particles with large pore volumes. Moreover, variations in the sorption profiles could be corr.
Nanocarbon synthesis using plant oil and differential responses to various parameters optimized using the Taguchi method

The synthesis of carbon nanomaterials (CNMs) by a chemical vapor deposition method using three different plant oils as precursors is presented. Because there are four parameters involved in the synthesis of CNM (i.e., the precursor, reaction temperature of the furnace, catalysts, and the carrier gas), each having three variables, it was decided to use the Taguchi optimization method with the ‘the larger the better’ concept. The best parameter regarding the yield of carbon varied for each type of precursor oil. It was a temperature of 900°C + Ni as a catalyst for neem oil; 700°C + Co for karanja oil and 500°C + Zn as a catalyst for castor oil. The morphology of the nanocarbon produced was also impacted by different parameters. Neem oil and castor oil produced carbon nanotube (CNT) at 900°C; at lower temperatures, sphere-like structures developed. In contrast, karanja oil produced CNTs at all the assessed temperatures. X-ray diffraction and Raman diffraction analyses confirmed that the nanocarbon (both carbon nano beads and CNTs) produced were graphitic in nature.
Density Functional Theory Comparison of Water Dissociation Steps on Cu, Au, Ni, Pd, and Pt

We report a plane-wave, supercell density functional theory (DFT) investigation of the adsorption and dissociation of water on (111) surfaces of Cu, Au, Pt, Pd, and Ni, five metals of potential interest in the context of water gas shift (WGS) catalysis. Binding energies, preferred adsorption sites, and configurations for H2O and its dissociation products (OH, H, and O) are determined on all five metals, as are the minimum energy paths (MEPs) and activation energies for H−OH and O−H dissociation. Results are compared with the diverse computational literature on H2O dissociation over these metals. Both dissociation steps are found here to be highly endothermic on Au(111) and slightly endothermic on Pt(111) and Pd(111). The first H abstraction from adsorbed H2O is exothermic on Cu(111) and Ni(111), but subsequent OH dissociation is endothermic on Cu(111) and slightly exothermic on Ni(111). Using a simple Langmuir equilibrium model, we show that under the high H2 background pressures typical of low-temperatur.