Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey To Detect Financial Fraud Using Deep Learning Approaches

: The more financial transactions have now emerged throughout the Big Data era, with numerous opportunities, threats and possibility of information theft in the face of possible fraud. This is due to the massive use of electronic paying instruments aimed at stealing confidential information and performing fraudulent transactions by attackers. While smart fraud detection systems have been established to deal with this problem, the imbalances of the data are still associated with some famous problems. This paper uses a fabricated identity to benefit financially or otherwise from identity fraud. When society moves further into a digital economy, the number of fraudulent transactions is increasingly rising. Here the emphasis is on the approaches that use profound learning and timely analysis of existing methods for the detection of payment fraud. The aim of the survey is to regularly benchmark methods for detecting fraud in online transaction volumes for industry. This test demonstrates that, in spite of the study, different methods for detecting fraud have a realistic performance in the industry. The underlying difficulties in applying a deep understanding of fraud are discerned.
Mechanisms of Enhanced Pulmonary Vasoconstriction and Calcium Sensitization Following Chronic Hypoxia

CH results in pressure dependent basal tone and enhanced depolarizationand endothelin-1 (ET-1)-induced vasoconstriction in the pulmonary circulation through Rho kinase (ROK)-dependent Ca sensitization, responses that may contribute to the development of pulmonary hypertension (PH) in this setting. The free radical superoxide (O2 ) has been implicated in these responses. Because NADPH oxidases (NOX) play a role in the development of PH, we hypothesized that membrane depolarization, increases in
Models and Methods of Classification of Innovation Market Information

— The importance of innovation as a product on the market field in the conditions of transformation of means of promotion, digitalization, and expansion of sales channels on the Internet is discussed in the article. The authors’ vision of classifying innovations by the type based on a subjective approach has been developed: manufacturers who formulate supply on the market and buyers (customers) that determine real and potential demand. The informative characteristics of the types of innovations are based on nominal features that are of practical value to the main agents of the market. The selection of informative features of innovation is based on clustering methods. The Hamming metric is proposed as an effective way to determine the measure of distances. The search for the necessary information and data processing in the innovation market is carried out using modeling tools. Clustering algorithms are proposed as adequate models of intersecting. The clustering algorithm solves the problem of dividing the sample of signs of innovation into clusters that are similar by certain criteria (scientific novelty, patent protection, etc.), depending on the type of innovation as a product (patent, technology, etc.). The proposed classification of innovations will allow to position innovation on the market as an object of sale. Modeling tools accumulate, group, process, coordinate and manage innovation market information when making management decisions.
Investigating the role of aldehyde dehydrogenase 3A1 in regulation of corneal epithelial homeostasis

ALDH3A1, a corneal crystallin protects the ocular tissue from ultraviolet radiation (UVR)-induced oxidative stress through both catalytic (e.g., metabolizing toxic aldehydes derived from lipid peroxidation, scavenging reactive oxygen species (ROS), replenishing NADPH levels) and non-catalytic (e.g., directly absorbing UVR, serving as a protein chaperone) mechanisms. Recently, transfected ALDH3A1 retarded the rate of cell proliferation and modified cell cycle regulator expression in human corneal epithelial (HCE) cells, suggesting possible physiological roles for this protein in corneal epithelial homeostasis. In the current study, markers of proliferation were significantly increased in the corneal epithelium of (Aldh1a1(-/-)/3a1(-/-)) mice compared with wild-type controls. Qualitative examination of Aldh3a1(-/-) and (Aldh1a1(-/-)/3a1(-/-)) corneal epithelia, revealed an increased number of rounded cells, that were closer to the desquamating surface suggesting abnormal differentiation in the anterior corneal epithelium. Scanning electron micrographs showed darker electron reflexes, indicative of immature microvilli in Aldh3a1(-/-) mice. Interestingly, corneal epithelial p53 levels were decreased in (Aldh1a1(-/-)/3a1(-/-)) mice compared with Aldh3a1(-/-) and wild-type mice. To understand the underlying mechanism we developed stably transduced telomeraseimmortalized corneal epithelial cell lines (hTCEpi) expressing wild-type or a mutant
MXenes: focus on optical and electronic properties and corresponding applications

Abstract The discovery of graphene, the first two-dimensional (2D) material, has caused an upsurge, as this kind of material revealed a tremendous potential of application in areas such as energy storage, electronics, and gas separation. MXenes are referred to as a family of 2D transition metal carbides, carbonitrides, and nitrides. After the synthesis of Ti3C2 from Ti3AlC2 in 2011, about 30 new compositions have been reported. These materials have been widely discussed, synthesized, and investigated by many research groups, as they have many advantages over traditional 2D materials. This review covers the structures of MXenes, discusses various synthesis routines, analyzes the properties, especially optical and electronic properties, and summarizes their applications and potential, which may give readers an overview of these popular materials.
Nestlé caring for water

ABSTRACT Water has been a ‘natural’ management priority for Nestlé since its beginnings, more than 150 years ago. Farmers need water to grow food, factories need water to operate, and consumers need water to prepare their dishes. Water touches every part of Nestlé’s value chain. This article describes how Nestlé’s management has made water a priority for the company over time. Nestlé has become a leading company in industrial water management in its own manufacturing facilities. However, over time, Nestlé realized that the impact of a water strategy built solely on internal excellence is limited, both from an operational and from a reputational perspective. Therefore, Nestlé has come up with a new strategy, the Caring for Water initiative, which builds on the principles of water stewardship, focusing on collective action at the level of the watershed.
Severe undernutrition in growing and adult animals

1. Pigs, held by undernutrition to a weight of about 5.5 kg till they were a year old, were then rehabilitated on an excellent growing ration, and killed when they were fully mature. 2. Undernutrition of this degree of severity delayed the growth and development of the teeth, but relatively less than that of the body or the jaws. 3. The teeth became abnormally sited and the shape of the mandible changed. 4. During rehabilitation, some of the crowns and most of the roots of the molar teeth failed to reach their proper size. 5. Some of the molar teeth remained permanently impacted and out of alignment. 6. The fine structure of the teeth, particularly of those parts formed during the period of undernutrition, was still abnormal when the animals were killed.
Function of calcium ion and calmodulin on sodium uptake and accumulation of winter wheat with different canopy temperature.

Under 0~250 mmol/L NaCl concentrations,hydroponic experiments were conducted to investigate the effect of calmodulin inhibitor (chlorpromazine,CPZ),Ca2+ channels inhibitor (LaNO3) and Ca2+ chelator (EGTA) on sodium and potassium uptake and its' mechanism with 4 winter wheat varieties,'Xiaoyan 6','NR9405','Shaan 229' and 'RB6',which are different in canopy temperature.The results indicated that under medium (150 mmol/L,NaCl) salt concentration,sodium uptake is promoted significantly,and the potassium uptake is slowed down by 3 inhibitors.And the effect of inhibitors is as follow:CPZEGTALaNO3.So the function of Ca2+ on sodium uptake mainly by way of combination of Ca2+ and calmodulin (CaM). The calmodulin not only regulate Na+ efflux,which is critical to net Na+ influx in root cells and accumulation in the shoot,but also regulate K+ influx.Under medium salt concentration (150 mmol/L,NaCl),the effect of inhibitors or chelator on the Na+ uptake of 'Shaan 229' and 'RB6' is higher than that of 'Xiaoyan 6' and 'NR9405',but there is little difference among the different genotypes under higher salt stress (250 mmol/L NaCl). So that 'Shaan 229' and 'RB6' are more sensitive to lower Ca2+ and CaM activity than that of 'Xiaoyan 6' and 'NR9405'.
The Usage Of Social Media In Terms Of Brand Personality: A Research On Comparison Between The Brand Personality Presentatıons Of Brands In Social Media And The Brand Personality Perceptions Of Target Groups

Most Valuable Brands Report (2018) was analyzed through content analysis technique. In the second dimension, a survey was conducted with the participation of 418 people in order to measure the personality perceptions of the mentioned brands. At the last part of the research, 5 Most Valuable of Turkish Brands were compared in terms of the personality types they present on social media and their target audience perception as a personality was compared. According to the data obtained, two of the five brands examined on the social media platforms, the brand personalities and the target audience’s perception of the personality overlaps, whereas three of them did not. The findings of this research are expected to guide brands in terms of communication practices towards brand personality.
THE ROLE OF PERSONALITY TRAITS OF MANAGERS ON THE PERFORMANCE OUTCOMES OF HIGHER EDUCATION INSTITUTIONS (HEIS)

This research aims to study the role that managers' personality traits have in the decision-making process and their relationship on the performance outcomes of Portuguese higher education institutions (HEIs), through a literature review that supports the presentation of a research model proposed by the authors. Nowadays, companies and their managers are increasingly pressured to achieve certain goals and levels of performance to ensure the financial sustainability of their institutions and to remain competitive in the markets. Sometimes these goals are somewhat ambitious and difficult to achieve, which means that decision-makers must have certain personality traits to show resistance and resilience in dealing with obstacles and strengthen their capacity to solve problems in the adversities that arise in the day to day business. This research proposal assumes that the personality traits of managers, namely extroversion, pleasantness, neuroticism, conscientiousness, and openness to experience, will have a relevant impact on decision making, which will be reflected in organizational performance. On the other hand, also the emotional adjustment, that is, the emotional states that the managers might develop, in relation to stress, anxiety, and depression, defined by personality traits, can also influence the way they deal with situations for decision making, also affecting institutional performance. In organizations, people experience a wide range of affective states, and this applies also to managers [1]. In several academic researches, personality traits have become a topic of great interest, especially when analyzing the relationships between the characteristics of managers and their behavior and attitudes in a professional environment. This research is justified concerning the perspective of personality traits and emotional states of managers and how these dynamics might have an influence on making decisions and their attitudes and, consequently, what kind of relationship can we find between this psychology perspective and organizational performance of HEIs. Regarding the methodology, the data will be obtained through the application of a questionnaire prepared by the authors, to evaluate the different dimensions of the proposed research model. The research will consist of the answers given by members of the management boards of Portuguese universities and polytechnics. In the treatment of quantitative data, the use of the structural equations model (SEM) is considered, to investigate the possible relationships between the different dimensions incorporated in the model. Concerning the discussion of results, it is intended to characterize the effects of personality traits of educational managers and their emotional adjustment in higher education institutions in Portugal, seeking to understand their role and possible relations with the financial sustainability and other performance outcomes of these institutions.
Plant introductions in Australia: how can we resolve 'weedy' conflicts of interest?

Over 27,000 exotic plant species have been introduced to Australia, predominantly for use in gardening, agriculture and forestry. Less than 1% of such introductions have been solely accidental. Plant introductions also occur within Australia, as exotic and native species are moved across the country. Plant-based industries contribute around $50 billion to Australia’s economy each year, play a signifi cant social role and can also provide environmental benefi ts such as mitigating dryland salinity. However, one of the downsides of a new plant introduction is the potential to become a new weed. Overall, 10% of exotic plant species introduced since European settlement have naturalised, but this rate is higher for agricultural and forestry plants. Exotic plant species have become agricultural, noxious and natural ecosystem weeds at rates of 4%, 1% and 7% respectively. Whilst garden plants have the lowest probability of becoming weeds this is more than compensated by their vast numbers of introductions, such that gardening is the greatest source of weeds in Australia. Resolving confl icts of interest with plant introductions needs a collaborative effort between those stakeholders who would benefi t (i.e. grow the plant) and those who would potentially lose (i.e. gain a weed) to compare the weed risk, feasibility of management and benefi ts of the species in question. For proposed plant imports to Australia, weed risk is presently the single consideration under international trade rules. Hence the focus is on ensuring the optimal performance of the border Weed Risk Assessment System. For plant species already present in Australia there are inconsistencies in managing weed risk between the States/Territories. This is being addressed with the development of a national standard for weed risk management. For agricultural and forestry species of high economic value but signifi cant weed risk, the feasibility of standard risk management approaches needs to be investigated. Invasive garden plants need national action.
Toward Consistent Seismological Models of the Core–Mantle Boundary Landscape

<p>The dynamic topography of the core-mantle boundary (CMB) provides important constraints on dynamic processes in the mantle and core. However, inferences on CMB topography are complicated by the uneven coverage of data with sensitivity to different length scales and strong heterogeneity in the lower mantle. Particularly, a trade-off exists with density variations, which ultimately drive mantle flow and are vital for determining the origin of mantle structures. Here, I review existing models of CMB topography and lower mantle density, focusing on seismological constraints (Koelemeijer, 2020). I develop average models and vote maps with the aim to find model consistencies and discuss what these may teach us about lower mantle structure and dynamics. </p><p>While most density models image two areas of dense anomalies beneath Africa and the Pacific, their exact location and relationship to seismic velocity structure differs between studies. CMB topography strongly influences the retrieved density structure, which partially helps to resolve differences between recent studies based on Stoneley modes and tidal measurements. CMB topography models vary both in pattern and amplitude and a discrepancy exists between models based on body-wave and normal-mode data. As existing models typically feature elevated topography below the Large-Low-Velocity Provinces (LLVPs), very dense compositional anomalies may be ruled out as possibility. </p><p>To achieve a similar consistency as observed in lower mantle models of S-wave and P-wave velocity, future studies should combine multiple data sets to break existing trade-offs between CMB topography and density. Important considerations in these studies should be the choice of theoretical approximation and parameterisation. Efforts to develop models of CMB topography consistent with both body-wave and normal-mode data should be intensified, which will aid in narrowing down possible explanations for the LLVPs and provide additional insights into mantle dynamics. </p><p><em>Koelemeijer, P. (2020), &#8220;Towards consistent seismological models of the core-mantle boundary landscape&#8221;. Book chapter in revision for AGU monograph "Mantle upwellings and their surface expressions", edited by Marquardt, Cottaar, Ballmer and Konter</em></p>
In the Web2.0 Era, Social Media Marketing Brings Business Opportunities to Enterprises

In the web2.0 era, more and more companies use social media as a marketing tool. Based on the use of social media such as Facebook and YouTube, enterprise’s propaganda has become global and more widespread. What’s more, SME (small and medium-sized enterprises) which is not able to carry out large-scale publicity will also gain the capacity to use social platform to extend the number of audiences, bringing more opportunities for the enterprise development.
Evaluation of the Oxidation Degradation Process of Biodiesel via 1H NMR Spectroscopy

Biodiesel is a suitable alternative to replace the petro-diesel. The biodiesel is formed by unsaturated esters easily degraded by interferences of oxygen, temperature, contact with metals or contaminants. The aim of this research was to investigate the biodiesel degradation process via H nuclear magnetic resonance (NMR) spectroscopy, observing the olefinic, bis-allylic and allylic protons signals of the chemical bonds, and by the induction period of the Rancimat. Biodiesel samples with metallic ions (Fe and Cu) and with rosemary natural extract were analyzed. The metal compounds showed a catalytic effect in the samples and the rosemary natural extract showed to be efficient by retarding the degradation process. The extract was ineffective in the presence of iron. Through the H NMR spectra was possible to observe changes in the signal intensities of the olefinic, bis-allylic and allylic protons as well as the formation of oxidation products in the biodiesel in the degradation process.
Adversarial Networks for Secure Wireless Communications

We propose a data-driven secure wireless communication scheme, in which the goal is to transmit a signal to a legitimate receiver with minimal distortion, while keeping some information about the signal private from an eavesdropping adversary. When the data distribution is known, the optimal trade-off between the reconstruction quality at the legitimate receiver and the leakage to the adversary can be characterised in the information theoretic asymptotic limit. In this paper, we assume that we do not know the data distribution, but instead have access to a dataset, and we are interested in the finite blocklength regime rather than the asymptotic limits. We propose a data-driven adversarially trained deep joint source-channel coding architecture, and demonstrate through experiments with CIFAR-10 dataset that it is possible to transmit to the legitimate receiver with minimal end-to-end distortion while concealing information on the image class from the adversary.
An Efficient Controlled Islanding Technique for Smart Grids

In recent years, power systems are more complicated and prone to instability due to the presence of renewable energy resources. Therefore, the controlled power system islanding is proposed as the last resort to prevent system instability. The aim of controlled islanding is to create stable islands in the grid, in order to prevent global blackout and facilitate total system restoration. Therefore, a proper decision-making algorithm is required to determine the separation points in a very short time. In this paper, a novel hierarchical spectral clustering method is introduced, which meets the practical requirements and constraints of power system islanding. Moreover, this approach leads to several clustering candidate solutions simultaneously, which can be optimally selected based on a desired objective function. The proposed approach is evaluated on IEEE test systems and compared to the existing methods. The simulation results show that the proposed method is computationally more efficient than other existing approaches.
Taxonomia do gênero Stenotrophomonas através de Multi Locus Sequence Analysis (MLSA).

The genus Stenotrophomonas is found in the respiratory treatment of patients with chronic pulmonary and also in the rizhosfera of plants. It presents resistance to several antibiotics, promotes the growth of plants and some species present the ability to fix atmospheric nitrogen. The Multi Locus Sequence Analysis (MLSA) is a methodology based on constitutive genes for definition and taxonomic allocation of new species. The general objective of the present work was to characterize a wide collection constituted by Stenotrophomonas from isolated endophytic, type and reference strains. In such a way, a system of classification and identification of Stenotrophomonas by means of MLSA was established. It was possible through the MLSA methodology to define 9 new species, to detect the presence of a new genus and to establish an online system for Stenotrophomonas taxonomy. Key-words: Stenotrophomonas, MLSA, housekeeping genes, taxonomy, PCR, phylogenetic tree.
Effect Of Loquat Leaves Methanol Extract On Morphology Of Benzo(A)Pyrene Induced Rats

Cancer is a disease caused by the growth of body cells develop uncontrollably. One type of cancer that has a fairly high mortality rate in the world is breast cancer. An effort to fight against cancer is the use of chemopreventive compounds derived from plants. Loquat (Eriobotrya japonica Lindl.) is one of plants believed to have the potential to be anti-cancer. This study used a laboratory experimental method with a completely randomized design (CRD) with five treatments and six replications. The treatments were K + (without any treatment), K(rats induced by Benzo α Pyrene). The treatment group was the suplementation of loquat leaf extract into BAP with various dosage concentrations starting from 200 (P1), 300 (P2) and 400 (P3) mg / kg body weight. The results showed that there were no significant differences between treatment groups either for rat weight, tumor weight, tumor diameter and tumor volume.
Effect of plant growth regulators and micronutrients on certain quality attributes of kagzi lime (Citrus aurantifolia Swingle).

An experiment was carried out during the years 2002 and 2003 on kagzi lime on Pramalini at Department of Horticulture, Marathwada Agricultural University, Parbhani. Fifteen-year-old kagzi lime orchard was treated with two growth regulator, NAA (100 ppm and 200 ppm) and GA (50 ppm) singly and in combination with micronutrient (0.5 % and 1% spray) at flowering and pea size fruit stage. Results reveled that NAA 200 ppm + micronutrients mixture 1 % spray is the best treatment for increasing total soluble solids, acidity, ascorbic acid, reducing sugar of fruit and chlorophyll-b content of leaves.