Miracle-dz/UniFAR-FTUs huggingface dataset:
Image noise removal on improvement adaptive medium filter

Traditional adaptive median filtering performs badly on removing noise and takes a long run time especially when there's a big difference between the stable maximum and minimum window size.The algorithm that we have proposed,first estimates the thickness of asingle image's salt-and-pepper noise based on the noise's distribution,and it found a functional relation between thickness and window size.After the two window sizes are confirmed by the noise thickness,the algorithm does median filtering on the image.Our experiment shows that the algorithm changes run time according to the change in the noise thickness.With changes in PSNR,we can see that the algorithm performs well to remove the noise.
Some molecular nitrogen emission from titan solar EUV and magnetospheric interaction

Theoretical calculations have been made of the intensities of some Lyman Birge Hopfield (LBH) and Birge Hopfield (BH) bands of molecular nitrogen in the atmosphere of Titan due to interaction of solar EUV radiation and the magnetospheric electrons. Self absorption in N2 and pure absorption in methane have been included in the calculations. Geometry as observed from closest approach by Voyager I ultraviolet spectrometer at two viewing positions is considered. It is found that solar EUV radiation can account for the observed intensity of LBH bands. Calculated intensity of BH (I, v") is too small in comparison with the observed value. Calculated intensity due to magnetospheric interaction falIs short by more than an order of magnitude in comparison with the calculated values of intensity due to solar EUV interaction.
A Proximity-Dependent Biotin Labeling Based Screen For Protein Kinase A Anchoring Proteins Within Focal Adhesion Complexes

Protein kinase A (PKA) regulates a diverse array of cellular activities including metabolism, differentiation, actomyosin contractility, and migration. The multifunctionality of this ubiquitous enzyme is achieved, in part, through subcellular targeting mediated by the A Kinase Anchoring Proteins (AKAP) family of proteins. AKAPs serve as scaffolding proteins that localize PKA to various cellular compartments and bring together specific targets and modulators of PKA activity. The importance of spatially restricted PKA signaling is particularly apparent in the context of cell motility. It has been observed that both anchoring through AKAPs and the subsequent localized activation of PKA at the leading edge of migrating cells are required for directed migration in multiple cell types. Despite the significant body of evidence linking PKA to the regulation of cellular adhesion, contractility, and migration, the mechanisms governing the spatiotemporal control of PKA signaling during these activities is not fully understood. Focal adhesion complexes, which connect the actin cytoskeleton to the extracellular matrix and are thus intimately involved in the adhesive and contractile state of the cell, are attractive potential sites of PKA signaling. We have evidence indicating that PKA is active within these complexes, and that this activity impacts focal adhesion dynamics. To address the question of how PKA may be recruited to adhesive complexes, we have developed a targeted screen to identify PKA interacting proteins within adhesive and cytoskeletal structures. This method utilizes proximity-dependent biotin labeling in combination with a focal adhesion purification preparation and downstream proteomic analysis. The results of this screen will be used to identify candidate AKAPs and will serve as the foundation for future inquiry into the complex role of PKA in the regulation of cell migration.
Work-related Determinants of Nurses’ Burnout in Pumwani Maternity Hospital, Nairobi City County, Kenya

Aim: This study sought to examine work-related factors of burnout among nurses working in Pumwani Maternity Hospital, Nairobi City County in Kenya. Methodology: A descriptive cross-sectional design was used. The study was conducted at Pumwani Maternity Hospital, Nairobi City County in Kenya. Study period was from August 2015 to December 2016. A total of 96 nurses were included in the study selected through Non-probability sampling. Clustering, purposive and convenient sampling methods were used to select the sample. A self-administered data collection instrument consisting of work related factors questions and Maslach Burnout Inventory -Human Services Survey were used. Data acquired were processed using SPSS version 21, utilizing descriptive and inferential statistics. The theoretical frame work for the study is based on job demands and resources model by Demerouti, Bakker, Nachreiner and Schaufeli (2001). Results: Finding showed that majority (88.6%) of the respondents were experiencing burn out. Although no work-related factor was found to be statistically significant in influencing burnout levels, role ambiguity and conflict was found to be a significant predicator of burnout. Together with workload, the two were positively related to burnout levels. Provision of essential material reorders, remuneration and extended work shift (in hours) were negatively related to burnout. Original Research Article Muriithi and Kariuki; AJRNH, 3(2): 36-49, 2020; Article no.AJRNH. 58208 37 Conclusion: The implication of the study shows the need to implement strategies to reduce the incidence of burnout among nurses working in maternal health care facilities. These relate to increase in provision of adequate essential material resources, proper remuneration, compensation for extended shifts, reduced workloads, proper job specifications and description and conflict resolution.
Approaches to Increase the Accuracy of Molecular Dynamics Simulations

Keywords: Molecular Dynamics ; Molecular Mechanics ; Tight Binding ; Density Functional Theory ; QM/MM ; Force Matching ; Iterative Boltzmann Inversion ; Dispersion Interactions These Ecole polytechnique federale de Lausanne EPFL, n° 5833 (2013)Programme doctoral Chimie et Genie chimiqueFaculte des sciences de baseInstitut des sciences et ingenierie chimiquesLaboratoire de chimie et biochimie computationnellesJury: K. Johnsson (president), M. Dal Peraro, T. Frauenheim, A.P. Seitsonen Public defense: 2013-7-30 Reference doi:10.5075/epfl-thesis-5833Print copy in library catalog Record created on 2013-07-25, modified on 2017-05-12
Relationships between Xanthomonas campestris pv. vitians population sizes, stomatal density and lettuce resistance to bacterial leaf spot

Abstract The resistance of 10 lettuce cultivars to bacterial leaf spot caused by Xanthomonas campestris pv. vitians (Xcv) was evaluated to establish the relationship between stomatal density, variations in pathogen population size, and the presence of epiphytic Bacillus sp. On the basis of average disease severity index ranked on a scale from 0 to 6, the cultivars were divided into three groups: tolerant, with 2.09; intermediate, with 3.59; and susceptible, with 4.92. The initial inoculum population of the pathogen was slightly increased, by less than 1 logCFU g−1 after 14 d, on only the tolerant cultivars ‘Batavia Reine des Glaces’ and ‘Little Gem’. In contrast to Xcv, the initial inoculum population of Bacillus sp. decreased on all the cultivars, by 1 to more than 2 logCFU g−1, without any significant relationship with the resistance groups. The tolerant cultivars exhibited averages of 40 and 57 stomata mm−2 on the adaxial and abaxial sides of the leaves, respectively; those averages were significantly lower than those of the susceptible cultivars, with 67 and 111 stomata mm−2, respectively. However, the stomatal area of the cultivars varied from 110 to 263 µm2/stomata and 126 to 232 µm2/stomata on the adaxial and abaxial sides of the leaves, respectively. Therefore, no relationship could be established between stomatal area and lettuce cultivar susceptibility. The density of stomata seems to be a good criterion for predicting the degree of tolerance of cultivars, especially when the adaxial side of the leaves is considered.
Response to reviewer comments

This manuscript sits at the intersection of producing open-source, scientific code and presenting new scientific ideas. The reviewer admits this is an awkward position, as existing dissemination methods are not amendable to publishing well-maintained software, which is a critical component to modern, reproducible analysis. That being said, the scientific contributions of the underlying code are not hugely significant. Inversion of aerosol distributions using Tikhonov regularization is well-established. In fact, the author already notes one other instance of open-source software designed at least in part for this task (Hansen). (Other codes undoubtedly exist, though, admittedly most of these codes are closed source or not immediately available to the user, with very few exceptions, as the author notes.) Otherwise, this code does little to innovate on existing methods and is somewhat behind in terms of state-of-the-art, such as not presenting any form of uncertainty quantification see Kandlikar and Ramachandran (1999); Voutilainen et al., (2001); and Voutilainen, Kolehmainen, Stratmann, & Kaipio (2001). The use of a GSVD to speed computation is insightful but is still based on existing literature. The code does also extend existing analysis tools to the Julia programming language, but it is this reviewer’s opinion that this contributes little in terms of a novel scientific contribution.
Distributed Optimal State Consensus for Multiple Circuit Systems With Disturbance Rejection

This paper investigates the distributed optimal state consensus problem for an electronic system with a group of circuit units. The dynamics of each unit is modeled by a Chua's circuit in the presence of disturbance generated by an external system. By means of the internal model approach and feedback control, a compensator-based continuous-time algorithm is proposed to minimize the sum of all cost functions associated with each individual unit in a cooperative manner. Supported by convex analysis, graph theory and Lyapunov theory, it is proved that the proposed algorithm is exponentially convergent. Compared with the centralized algorithms, the proposed protocol possesses remarkable superiority in improving scalability and reliability of multiple circuit systems. Moreover, we also study the distributed uncertain optimal state consensus problem and a linear regret bound is obtained in this case. Finally, a state synchronization example is provided to validate the effectiveness of the proposed algorithms.
The Influence of Brand Image and Brand Love on Customer Loyalty Mediated by Customer Engagement: Study on Consumers of Wardah Cosmetics

Industrial cosmetics growth has increased every year. This situation makes a tight competition among the Cosmetic companies. Cosmetic companies try to create customer loyalty so they could sustain their business. Prior studies have examined variables that affect customer loyalty, yet only few studies have examined the effect of brand image, brand love and customer engagement in creating customer loyalty. This study aims to determine the effect of brand image, brand love, and customer engagement on customer loyalty of consumer Wardah Cosmetics in Malang. This study was explanatory with a quantitative approach and survey methode conducted on 150 respondents in Malang. Nonporbability sampling with purposive sampling technique was used. Data analysis process used by Partial Least Square (PLS). Results reveal that brand image and brand love has simultaneously significant effect on customer engagement. Brand love has significant effect on customer loyalty while brand image has no significant effect on customer loyalty. Customer engagement was also found to act as a mediator in this study. The results also reveal that customer engagement influences customer loyalty. The results of this study can prove helpful to practitioners about enhancing loyalty in their company based on brand image, brand love and customer engagement. The result of the research can also be a reference for future research.
First report of the mitochondrial DNA sequences of the giant clam, Tridacna gigas (Tridacnidae Tridacna)

Abstract In this study, we present the first complete mitochondrial genome sequence of the giant clam Tridacna gigas. The total length of the mitogenome is 19,558 bp. It contains the typical mitochondrial genomic structure, including 13 protein-coding genes, 23 transfer RNA genes, two ribosomal RNA genes, and one control region (D-loop). Mitogenome base composition is biased toward A + T content, at 57.6%. A phylogenetic tree based on complete mitogenome sequences revealed that, within the genus Tridacna, T. gigas is closely related to T. derasa.
Treatment with 5-aza-dC Induces Apoptotic PARP1-DNA Adducts

5-aza-dC (5-aza-2’-deoxycytidine, clinically known as decitabine) is used to treat some hematopoietic malignancies, but its mechanism of action is not defined. Here we identify a role for covalent PARP1-DNA adducts in cell killing by 5-aza-dC. We demonstrate that covalent PARP1DNA adducts can be recovered from cells treated with 5-aza-dC alone or in combination with a PARP catalytic inhibitor. PARP1-DNA adducts are predominately 89 kD in length, contain the cleaved PARP1 fragment that is a signature of apoptotic cells, and bear the terminal neo-epitope generated by caspase cleavage. Smaller PARP1-DNA adducts bearing the apoptotic neo-epitope were also detected, but not adducts containing full-length PARP1. DNA-adducted PARP1 fragments thus provide a biochemical link between drug-induced PARP1-DNA adduct formation and cell killing. They support a model in which 5-aza-dC causes DNA damage that recruits fulllength PARP1, which forms covalent adducts that induce apoptosis, resulting in PARP1 cleavage and cell killing.
Multimodal cell type correspondence by intersectional mFISH in intact tissues

Defining a complete set of cell types within the cortex requires reconciling disparate results achieved through diverging methodologies. To address this correspondence problem, multiple methodologies must be applied to the same cells across multiple single-cell experiments. Here we present a new approach applying spatial transcriptomics using multiplexed fluorescence in situ hybridization, (mFISH) to brain tissue previously interrogated through two photon optogenetic mapping of synaptic connectivity. This approach can resolve the anatomical, transcriptomic, connectomic, electrophysiological, and morphological characteristics of single cells within the mouse cortex.
Microscopic observation of a root-adhering factorAvin_16040 in Azotobacter vinelandii and Escherichia coliduring association with rice root

Microbial adherence to plant root is the initial step in a beneficial plant-microbe interaction. Quantitative RT-PCR analysis deduced the Avin_16040 gene showed upregulated expression when Azotobacter vinelandii was adhered to the rice root. By transforming the full-length Avin_16040 gene into a heterologous host Escherichia coli, the recombinant clones displayed filamentous cell shapes in contrast to the rod-shape of wild type cells. Besides full-length gene insert, some E. coli clones were detected to contain truncated Avin_16040 gene inserts but still shape-shifted to filamentous cells. Further analysis by DNA sequencing revealed the shape-shifting E. coli clones contained 3’-end truncated Avin_16040 gene, while E. coli clones containing the 5’-end truncated Avin_16040 gene remained rod-shaped. The cell surface topographies of A. vinelandii and E. coli cells in the presence and absence of Avin_16040 gene and in association with rice root adherence were analysed using atomic force microscopy.
Phylogenetic analysis of Ukrainian seed-transmitted isolate of Soybean mosaic virus

L. T. Mishchenko, A. A. Dunich, I. S. Shcherbatenko © 2018 L. T. Mishchenko et al.; Published by the Institute of Molecular Biology and Genetics, NAS of Ukraine on behalf of Biopolymers and Cell. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited UDC 578.864/578.32
MHD Double-Diffusive Natural Convection in A Closed Space Filled with liquid metal: Mesoscopic Analysis

In this paper, the lattice Boltzmann approach is carried out to study the double-diffusive natural convection in a space encapsulating liquid metal is presented. The Uniform magnetic field is applied horizontally at the square domain and an insulated rectangular block is kept stationary at the center of the cavity. The linear increment of temperature and concentration is used at the left wall and cold temperature is applied at the right wall. Horizontal walls are adiabatic conditions. Horizontal walls are adiabatic conditions. The numerical analysis is performed at the range of Rayleigh number (103 ≤ Ra ≤ 105), Lewis number (2 ≤ Le ≤ 10), buoyancy ratio (-2 ≤ N ≤ 2), Hartmann number (0 ≤ Ha ≤ 50) with Prandtl number (Pr) = 0.054. Results show that the increase in Ra tends to maximize heat and mass transfer rate while increasing Ha, decreases the same. The rise in Le diminishes heat transfer marginally but increasing the mass transfer significantly. The effect of N differs with different operating conditions, in general, the rate of heat and mass transfer is found to decrease with a decrease of N value.
EVALUATION OF THE ADAPTABILITY OF SCIENTIFIC THEORIES FOR THE DEVELOPMENT OF ACCOUNTING INSTITUTE

This study is devoted to the development of theoretical foundations and the formalization of the method for assessing the adaptability of existing scientific concepts for the purposes of developing accounting, and is based on an analysis of the advantages and disadvantages of scientific concepts when applied to research on accounting and the development of its theory. The article uses empirical analysis for assessment of the feasibility of applying a specific scientific concept, formalized in accordance with reasonable criteria. These criteria include: grouping based on the presence of common features; analyzing the principles of compliance with the principles of the concept of accounting; and empirical assessment of the impact of the concept on the methodology of accounting through predicting the negative consequences of its application. Research results indicate that the application of various scientific concepts and theories in the development of accounting does not always contribute to the solution of accounting problems and tasks. In order to minimize the risks of choosing a false basis for scientific research in the field of accounting, a method for evaluating the effectiveness of the concepts of scientific change has been proposed. The novelty of the proposed approach is that, unlike the existing ones, it allows the mathematical identification of the concept’s adaptability and is based on digital values. Thanks to its use, an informed choice of the most effective concept for researching and solving accounting problems is ensured, which makes it possible to avoid choosing a false basis of scientific research.
Cross Domain Adaptation using A Novel Convolution Neural Network

: Sentiment analysis has been widely researched in the recent times, especially with the advent of supervised machine learning and deep learning techniques. These supervised learning techniques require large amount of annotated data for working efficiently. But, this annotation of data for all the different products present in the market is an expensive prospect. Hence, a model or a system is required which trained on a particular domain should work in a cross domain environment as well. The presence of many inherent challenges makes cross domain sentiment analysis highly inaccurate. The paper proposes a novel deep learning architecture for cross domain adaptation. After extensive experimentations with different parameters, like the number and placement of convolution layers and pooling layers, and hyper parameters, like the number and size of filters and that of windows, a multi-layered convolution neural network has been proposed which produces a comparatively more accurate cross domain adaptation results. The proposed system has been analysed and compared with state-of-the-art cross domain sentiment analysis systems and has shown to produce better results.
Methods of Detecting Meat Species in Food of Animal Origin

An important factor in the detection of falsification is the control of the composition of the meat at each stage of manufacturing the product. The PCR method is based on the study of proteins and meat nucleic acids used in food for the detection of animal species. Another technique is the Elisa method that works on the principle of identification and measurement of the quantity of molecules in a sample. There are several types of Elisa to increase specificity due to differences in structure and sample characteristics. By comparing the two methods used to identify the processed meat product species, Real Time PCR had the highest prediction as results. However, the Elisa method is more time efficient and easier to use. Real Time PCR is effective in identifying processed meat products that require low detection. The Elisa Kit is useful because of the ease of use.
New investigation of an E-mode metal-insulator-semiconductor AlInN/AlN/GaN HEMT with an Au-T-gate

In a high electron mobility transistor (HEMT), the density of the two-dimensional electron gas (2DEG) channel is modulated by the application of a bias to a Schottky metal gate. These devices are depletion mode (D-mode), which means that a negative bias must be applied to the gate to deplete the electron channel and turn. The most challenging aspect in the present research activity on based-GaN devices is the development of a reliable way to achieve an enhancement-mode (E-mode) HEMT. Enhancement-mode GaN HEMTs would offer a simplified circuitry by eliminating the negative power supply. In this work, the aim is to investigate the different techniques which can influence the threshold voltage and shift it to a positive value. A novel E-mode metal-insulator-semiconductor (MIS) AlInN/GaN HEMT with an Au-T-gate has been investigated. The impacts of window-recess and deep-recess have been discussed, it was found that for dp=28 nm and wn=1.8 µm the threshold voltage achieves 0.7 V and the transconductance (Gm) peak value of 523 mS at Vgs=3.5 V. The drain current characteristic has been demonstrated.
Regularization parameter optimization strategy of reconstructing load spectrum

Aimed at effectively extracting and identifying the feature of cutting load spectrum to improve the crushing efficiency of coal and rock,this paper,drawing on the limited conical pick experiment load spectrum and applying Tikhonov regularization method,analyzes the reconstruction results of its load spectra at different regularization parameter,offers the regularization parameter optimization strategy of reconstructing load spectrum,and explores influence of a different regularization parameter strategy on the load spectrum reconstruction. The results show that generalized cross method( GCV) is more capable of selecting the optimal regularization parameters than L-curve criterion and shows the eigenvalues of load spectrum reconstruction more likely to be identified and extracted,which can characterize the actual fragmentation of coal and rock.