Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Debt Capacity Base and Structural Risk: Evidence from the Warsaw Stock Exchange

Objective : The objective of this paper is to verify the hypothesis that there is a statistically significant correlation between the risk level determined on the basis of structural models and the value of the of debt capacity base, and that the value of a company’s debt capacity is determined primarily by the type and properties of its financing. Research Design & Methods : The methodology was based on the analysis of the determination of the linear regression function using the least squares method and study of the correlation between the values of the debt capacity base and the net value of enterprises (determined on the basis of the approach used in structural risk models) based on accounting data of 511 companies listed on the Warsaw Stock Exchange in 2018–2019. This includes an analysis of the level of debt capacity in the context of selected forms of financing. Findings : There is a strong and statistically significant correlation between the debt capacity base determined on the basis of book values and the determined net value of enterprises, representing the level of structural risk (constituting the difference between the value of assets and liabilities). A USD 1 bn change in the average debt capacity base leads to a USD 0.49 bn change in the average net worth of enterprises. Implications / Recommendations : The designated regression function enables forecasting, within the scope of banking practice, the value of the structural risk and the debt capacity base in terms of granting short- and long-term liabilities. Contribution : The study confirms the thesis that there is a statistically significant correlation between structural risk and the debt capacity base. It presents an approach that enables the determination of the debt capacity base, the value of structural risk, and the value of debt capacity for selected forms of financing.
Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information

—Over the past few years, deep Convolutional Neural Networks have shown outstanding performance on semantic segmentation, which is an essential tool needed by self-driving cars to understand their environments. However, their training relies on large datasets with pixel-level ground truth annotations, which are costly and tedious to produce on real data, making application to new situations difﬁcult. In this context, Unsupervised Domain Adaptation (UDA) from synthetic data is an approach of great interest since it leverages cost-free labeled synthetic datasets to help generalizing to unlabeled real ones. In this paper, we propose a new adversarial training strategy for UDA that uses additional privileged information on the synthetic domain during training to improve transfer to the real one. Our method introduces a multimodal discriminator for adversarial training, featuring a bilinear fusion between representations of segmentation and privileged information to exploit at best alignment between modalities. We evaluate our approach on real-world Cityscapes dataset, using synthetic labeled data with depth as privileged information from SYNTHIA dataset and show competitive results.
Android Vulnerability Analysis and Approach of Malware Detection

– Android, google’s open source operating system of smartphone devices, tablets, TVs is the most popular one and widely used around the globe. Google play store hosting many android applications cannot check for all vulnerabilities in applications which leaves the risk of those being exploited by malwares. Most android users with excitement for sake of getting things done by using app do not bother to correlate the functions of app with app permissions or rather are unaware of how the user’s data will be used by an app from given allowed permission. Also, on android devices before version Marshmallow If one wants to download an app then (s)he has to accept all permission even if some look unacceptable. Majority of android devices have newer operating system with enhanced security, and permission control which follows request on access need of component. Still many data leak incidents are reported which is a growing concern. There is no easy way than careful inspection and analysis from security experts and researchers to know if user’s privacy sensitive information is being leaked or safe. In this paper, we are presenting some literature work happened in this area so far which addresses such problems with their concepts, own approaches and techniques. Also from our understanding we are proposing generic architecture to term an app as data leaking, vulnerable/ malware infected.
Leveraging European SMEs and Start-Ups competitiveness through design

Firms are increasingly investing in design and involving firms operating in this field in their innovation process. This research is based on an ongoing research project consisting in a complete range of free training courses held in the main European cities which main objective is to discover how design-driven innovation can become the key to improve European Small and Medium Enterprises (SMEs) competitiveness, efficiency and sustainability. It starts from the results of a previous work, that aimed at taking a picture of the design European trends. Keep the same research objective, in this work more updated data has been considered and analysed. Furthermore, more insights have been evaluated through the analysis of statistics and feedback. Hierarchical Cluster Analysis (HCA) has been used as learning methodology, in order to explore data and discover some hidden relationships between groups (countries and course modules). From this analysis, some considerations have emerged. Firstly, focusing on the countries, more interest has been shown by participants coming from Poland, Italy, Bulgaria and Spain. Furthermore, the most followed courses are related to the connection between product and services, global future trends and business models and design seen as shaping products. On the other hand, Product Lifecycle Management (PLM), Additive Manufacturing and Life Cycle Assessment (LCA) were the less selected topics. Some considerations can be hidden behind these choices. Concerning the decision to select the Product&Service as a favourite choice, this could depend on the relevance that services are assuming nowadays. Concerning the design for shaping products, this choice could be related to the fact that this module represents the common meaning of design: the shape. About global and future trends and business models, companies have shown their interest in those topics because are considered highly relevant in order to understand the future challenges, implications and possibilities (related to the design topic) they have to face and how to address them. The less interest on the modules of PLM, additive manufacturing and LCA could be linked to the fact that those topics are seen more as supporting tools or methods by SMEs, helping them to improve design but not directly involved in the process itself. Finally, this work could be used by the European SMEs as benchmarking, in order to understand which design topics are covered by them and which not.
Face Generation based on Race using Generative Adversarial Networks

---------------------------------------------------------------------- Abstract - The field of image generation has seen immense amounts of improvement, with the advent of generative adversarial networks, an application of unsupervised learning. In this paper, the images are generated using Generative Adversarial Networks with the help of two sets of data, one containing the Asian faces and the other that holds Caucasian faces. Deep Convolutional Generative Adversarial Networks, that use convolutional neural networks for the generator, and the discriminator, have been utilized in order to accomplish the task of the generation due to advantages over conventional GANs such as less noise, greater stability of results.
Ultrathin, wafer-scale hexagonal boron nitride on dielectric surfaces by diffusion and segregation mechanism

Chemical vapor deposition (CVD) of two-dimensional (2D) hexagonal boron nitride (h-BN) is at the center of numerous studies for its applications in novel electronic devices. However, a clear understanding of the growth mechanism is lacking for its wider industrial adoption on technologically relevant substrates such as SiO2. Here, we demonstrate a controllable growth method of thin, wafer scale h-BN films on arbitrary substrates. We also clarify the growth mechanism to be diffusion and surface segregation (D-SS) of boron (B) and nitrogen (N) in Ni and Co thin films on SiO2/Si substrates after exposure to diborane and ammonia precursors at high temperature. The segregation was found to be independent of the cooling rates employed in this report, and to our knowledge has not been found nor reported for 2D h-BN growth so far, and thus provides an important direction for controlled growth of h-BN. This unique segregation behavior is a result of a combined effect of high diffusivity, small film thickness and the inability to achieve extremely high cooling rates in CVD systems. The resulting D-SS h-BN films exhibit excellent electrical insulating behavior with an optical bandgap of about 5.8 eV. Moreover, graphene-on-h-BN field effect transistors using the as-grown D-SS h-BN films show a mobility of about 6000 cm2 V−1 s−1 at room temperature.
The Effect of using Deciduous Mango Leaves and Trimmings of Mango Wasted, Containing Tannin, on in Vitro Rumen Methanogenesis and Fermentation Parameters

Tannins is the novel feed strategy that can mitigate enteric methane emissions. This study characterized the response of in vitro rumen methanogenesis and the ruminal fermentation of Mango tree byproducts (deciduous mango leaves (DML) and Waste Trimmings of Mango Trees (WTM)) rich in tannins. Results of Anti-nutritional factor founded that both of DML and WTM showed higher value of tannins (2.0 and 2.4 mg/100g) respectively. The highest significant GP, gas production structure fiber (GPSF) and gas production non structure fiber (GPSNF) were observed in DML and recorded 20.44, 10.04 and 34.49 (ml/g DM), respectively. The First laboratory experimental study results exhibited highly significant differences in ruminal fermentation characteristics across control diet and diets with DML. The highest significant GP, GPSF and GPSNF were observed in control diet which recorded 49.19 (ml/200mg DM), 14.26 (ml/g DM), and 43.45 (ml/g DM), respectively. Also, ME (MJ/Kg DM), NE, DCPL (g/day), DOMI (g/day), Microbial protein (g/DOM kg), and GED (g/Kg DDM) were significantly higher with control diet. The obtained results of the second laboratory experiment showed significant over than the control diet in GPSF, GPNSF, SCFA, energy content, DOM, ME (MJ/Kg DM) , NE, DCPL (g/day), DOMI (g/day), microbial protein (g/DOM kg), and GED (g/Kg DDM) in comparison with 5% and 10% from WTM as a replacement of wheat bran. The results of the in vitro methanogenesis study found that Mango tree byproducts containing tannins have the ability to inhibit methanogenesis.
Does Uncertainty Affect Saving Decisions of Colombian Households? Evidence on Precautionary Saving

The aim of the paper is to test the effect of uncertainty on the consumption/saving decisions of the Colombian households searching for evidence of a precautionary motive for saving. We use two standard objective measures of income uncertainty, the income variability and the unemployment rate, and data taken from the National Budget and Expenditure Survey and the Large Integrated Household Survey. Results show evidence of a precautionary motive for saving when uncertainty is proxied by the unemployment rate. However, when measured through income variability uncertainty surprinsingly impacts positively on consumption. We explore whether this result may conceal a composition effect on our sample, given large differences on saving and non saving households. Thus, we estimate our model separately for both groups and find that, while for savers there is an important precautionary motive for saving independently of the uncertainty measure chosen, there is no evidence of any effect of uncertainty on non-savers consumption decisions. These results are robust to several segmentations of the sample by gender, age group or labour status. The paper contributes to the empirical literature on precautionary saving by providing evidence for a developing country for which, to date, there have been no studies on the effects of uncertainty on savings.
Enhanced IKBot Degradation Is Responsible for Constitutive NF-KB Activity in Mature Murine B-Cell Lines

Nuclear factor KB (NF-KB) is a ubiquitous transcription factor which binds to decameric DNA sequences (KB sites) and regulates transcription of multiple genes. The activity of NF-KB is regulated by an inhibitor protein, IKB, which sequesters NF-KB in the cytoplasm. Release of IKB and subsequent nuclear translocation of NF-KB generally require activating signals. However, in mature murine B cells, the DNA-binding activity of NF-KB is constitutively nuclear and activates the IgK gene, a marker for mature B cells. To understand the basis for the constitutive NF-KB activation, we examined the properties of NF-KB and IcB in both pre-B and mature B cells, the regulated and constitutive states, respectively. We found that expression of IKBa and p105, members of the IKB family, and Rel, a member of the NF-KB family, is augmented in mature B cells. Both IKBo and p105 are associated with NF-KB proteins and sequester most of these proteins in the cytoplasm of mature B cells. However, rapid IKBot dissociation and degradation lead to continuous nuclear translocation of a small fraction of NF-KB proteins, which represent the constitutively active NF-KB in mature B cells. We estimate that the protease activity is at least 35-fold greater in mature B cells than in pre-B cells. Rapid degradation of IKBBa is directly involved in constitutive NF-KB activation, because stabilization of IKBBa by a protease inhibitor causes loss of NF-KB activity in mature B cells. These results provide evidence that continuous and rapid degradation of IKBa in the absence of external stimuli is causally involved in the constitutive activation of NF-KB in mature murine B cells.
Explaining Experts’ Values of Iran’s Architectural Design Society*

Problem statement: One of the main issues in social psychology is the study of values. “Value as a guide of behavior” is a fundamental principle in social psychology. The history of this principle is almost one century. The study of values has also been incorporated into other disciplines, one of which is architecture. Since the 1970s, in the architectural realm, “design as a reflective practice” has represented this view, nonetheless, the discussion of values is yet to be studied in Iran’s architecture. This research sought to answer the following question: “What are the main values of the experts of Iranian Architectural Design Society and What are the origins of these design values and what is the dominant value paradigm of this society”. Research objective: This study aimed to identify the prevailing pattern of values and intellectual and practical frameworks of the designers of the Iranian Architectural Design Society. This article seeks to clarify and examine the values, origins of values and ideas and practices consistent with the values of expert designers in society. Research method: The current research was a qualitative field study, in which the data was collected through in-depth semi-structured interviewing and analyzed using the grounded theory. “MAXQDA 2018” was used to analyze the data. Conclusion: Results indicated “Novelty” is the core value of expert designers, after which “environmental, historical, traditional and social values” is of high significance to these designers. “Contextual Futurism” is the term used to introduce the final set of values in its paradigm form. Designer values are shaped by the personal endeavor, academia and work in the profession. The acceptance of the elite is more important than the satisfaction of the users and the general public.
Front passivation of Cu(In,Ga)Se2 solar cells using Al2O3: Culprits and benefits

In recent years, the strategies used to break the Cu(In,Ga)Se2 (CIGS) world record of light to power conversion efficiency, were based on improvements of the absorber optoelectronic and crystalline properties, mainly using complex post-deposition treatments. To reach even higher efficiency values, advances in the solar cell architecture are needed focusing in the CIGS interfaces. In this study, we evaluate the structural, morphological and optoelectronic impact on the CIGS properties of using an Al2O3 layer as a potential front passivation layer. The impact of Al2O3 tunnelling layer between CIGS and CdS is also addressed in this study. Morphological and structural analyses reveal that the use of Al2O3 alone is not detrimental to CIGS, although it does not resist to the CdS chemical bath deposition. When CdS is deposited on top of Al2O3, the CIGS optoelectronic properties are heavily degraded. Nonetheless, when Al2O3 is used alone, optoelectronic measurements reveal a positive impact of its inclusion such as a very low concentration of interface defects and the CIGS keeping the same recombination channels. With the findings of this study the best use of Al2O3 front passivation layer could be with alternative buffer layers. The Al2O3 layer will keep the CIGS surface with a low density of defects while keeping its structural and optoelectronic properties as good as the ones when CdS is deposited. It can also be reported that a comparison between the different analyses allowed us to strongly suggest for the first time that low-energy muon spin spectroscopy (LE-μSR) is sensitive to both charge carrier separation and bulk recombination in complex semiconductors. Manuscript File
SynPred: Prediction of Drug Combination Effects in Cancer using Full-Agreement Synergy Metrics and Deep Learning

High-throughput screening technologies continues to produce large amounts of multiomics data from different populations and cell types for various diseases, such as cancer. However, analysis of such data encounters difficulties due to cancer heterogeneity, further exacerbated by human biological complexity and genomic variability. There is a need to redefine the drug discovery development pipeline, bringing an Artificial Intelligence (AI)-powered informational view that integrates relevant biological information and explores new ways to develop effective anticancer approaches. Here, we show SynPred, an interdisciplinary approach that leverages specifically designed ensembles of AI-algorithms, links omics and biophysical traits to predict synergistic anticancer drug synergy. SynPred exhibits state-of-the-art performance metrics: accuracy – 0.85, precision – 0.77, recall – 0.75, AUROC – 0.82, and F1-score - 0.76 in an independent test set. Moreover, data interpretability was achieved by deploying the most current and robust feature importance approaches. A simple web-based application available online at http://www.moreiralab. com/resources/synpred/ was constructed to predict synergistic anticancer drug combinations requiring only the upload of the two drug SMILES to be tested, allowing easy access by non-expert researchers.
Effect of Dietary Calcium and Phosphorus Levels on Productive Performance, Carcass and Tibia Characteristics of Sudani Ducklings

This study was planned to evaluate varying dietary calcium (Ca) and phosphorus (P) levels effects on the productive performance of Sudani ducklings during the growth period. A total of 240 unsexed ducklings, 7 days-old were split into four empirical groups, each of three replicates (20 ducklings each). The ducklings in the 1 up to the 4 group fed diet contained Ca plus P levels as follows 0.70% Ca+0.35% P (T1), 0.85% Ca+0.40% P (T2, as a control), 1.0% Ca+0.45% P (T3) and 1.15% Ca+0.50% P (T4), respectively during the starter and grower periods. Ducklings in T4 group recorded a significant improvement of live body weight, body weight gain, and feed conversion ratio compared to the ducklings in T1 group at 7-91 days-old period. Both eviscerated carcass and total edible parts (%) were ameliorated (P>0.05) by increasing levels of Ca and P. All hematological parameters not significantly affected except for hemoglobin, which decreased by increasing levels of Ca and P. Serum Ca, P, vitamin D and alkaline phosphatase content for ducklings were not differed by varying Ca and P levels. Duckling's tibia calcium content significantly augmented by mounting Ca and P levels; however, their content from P not affected. From the obtained results, it could be concluded that the necessity to use the diet containing 1:1.15 Ca with 0.45: 0.50 P (%) to achieve the best growth characteristics and the ratio of edible parts, as well as tibia Ca content for Sudani ducklings during the growing period.
Analysis of malachite green, gentian violet and their leuco metabolites in catfish and carp by micellar electrokinetic capillary chromatography

A simple, reproducible and sensitive micellar electrokinetic chromatography (MEKC) method was developed for the separation and determination of malachite green (MG). leucomalachite green (LMG), gentian violet (GV) and leucogentian violet (LGV) from catfish and carp. Field-enhanced sample injection with reverse migrating micelles (FESI-RMM) was used for on -line concentration of the analytes. The buffer contained 50 mM H3PO4-NaOH, 140 mM sodium dodecyl sulfate (SDS), 15% acetonitrile and 15% 2-propanol, at the pH of 2.0. The sample solution was diluted with water containing 5 mM SDS and injected for 15 s with -8 kV after injection of 92 s water plug. The effects of concentration of SDS and organic modifier, the sample matrix, the injection time of water plug, the injection voltage and injection time of sample on the separation and stacking efficiency were investigated. Under the optimum conditions, the analyzes were well separated and by optimizing the stacking conditions, about 121, 146, 150 and 87 fold improvement in the detection sensitivities were obtained for GV, MG, LMG and LGV, respectively. The instrument detection limits (S/N = 3) of GV, MG, LMG and LGV were 40, 70, 50 and 50 ng/ml, respectively. The recoveries of GV, MG, LMG and LGV in the extracts of catfish were 87.8 - 96 . 7%, 87.9 - 100.2%, 96.7 - 101.4% and 89.8 - 94.2%, respectively. The GV, MG, LMG and LGV in spiked (1μg/mL) catfish and carp extracts were successfully determined with satisfactory repeatability and recovery.
Facelock(cid:22)A Labware for Teaching Photo Privacy in Online Social Networks through Face Recognition *

Online photo sharing has become a popular activity for Internet users. Semantically rich photos often contain not only the information that the uploaders want to share but also the information that is sensitive to others. However, most of the current online social networks do not have well-de(cid:28)ned mechanisms for user privacy protection. This paper discusses the design and implementation of a labware(cid:22)Facelock which was developed for teaching photo privacy. The goal is to increase students’ awareness of privacy protection while sharing photos in online social networks. Through the labware, students can gain a thorough understanding of the photo privacy and essential concepts of face recognition. This labware can be used in both cybersecurity and data science courses. It was pilot-tested through a workshop in 2019 among thirteen students majoring in Computer Science. Surveys results showed the e(cid:27)ectiveness of the labware and the attainment of the learning objectives