Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards an Unsupervised Method for Model Selection in Few-Shot Learning

The study of generalization of neural networks in gradient-based meta-learning has recently great research interest. Previous work on the study of the objective landscapes within the scope of few-shot classiﬁcation empirically demonstrated that generalization to new tasks might be linked to the average inner product between their respective gradients vectors (Guiroy et al., 2019). Following that work, we study the effect that meta-training has on the learned space of representation of the network. Notably, we demonstrate that the global similarity in the space of representation, measured by the average inner product between the embeddings of meta-test examples, also correlates to generalization. Based on these observations, we propose a novel model-selection criterion for gradient-based meta-learning and experimentally validate its effectiveness.
CONVERGENCE THEOREMS FOR NONLINEAR SEMIGROUPS ASSOCIATED TO SEMILINEAR EVOLUTION EQUATIONS UNDER EQUICONTINUITY PROPERTIES

Given a semilinear problem of the form (SP) u′(t) = (A + B)u(t), t > 0; u(0) = x ∈ D ⊂ X, where X is a real Banach space and B is its nonlinear perturbation, whose continuity is localized using a lower semicontinuous functional φ, a sequence of approximating semilinear problems is formulated and the convergence of the associated approximating nonlinear semigroups is treated under appropriate consistency and stability conditions. Under these assumptions, it is shown that the convergence is achieved if and only if the family of approximating semigroups satisfies a certain equicontinuity property. A feature of our argument is that no convexity properties are assumed on the set D or on the functional φ.
The Influence of Passive Ultrasonic Irrigation Associated with Different Irrigating Solutions on Radicular Dentin Microhardness

Introduction: This study’s aim was to evaluate the effects of irrigating solutions with 2% chlorhexidine gluconate (CHX) 17% ethylenediaminetetraacetic acid (EDTA), and 2.5% sodium hypochlorite (NaOCl) on root dentin microhardness. Methods: Eighty mesiobuccal canals from lower molars were irrigated with conventional irrigation(CI) or passive ultrasonic irrigation (PUI). The roots were divided into eight groups: CHX+CI; CHX+PUI; EDTA+CI; EDTA+PUI; NaOCl+CI; NaOCl+PUI; distilled water (DW)+CI; DW+PUI. The Knoop microhardness test was used to evaluate indentations at 100 μm and 500 μm in the cervical, middle and apical thirds. The results were analyzed with the Kruskal-Wallis (Dunn) test. Results: At 100 μm in the cervical third, the highest and lowest values were found in the CHX+PUI Group and EDTA+PUI groups, respectively (P<0.05). In the middle third, the highest and lowest values were found in the CHX+CI and EDTA+PUI groups, respectively (P<0.05). In the apical third, the highest and lowest values were found in the CHX+CI and EDTA+CI groups, respectively (P<0.05). At 500 μm in the cervical third, the highest and lowest values were found in the NaOCl+PUI and EDTA+PUI groups, respectively (P<0.05). In the apical third, the highest and lowest values were found in the NaOCl+PUI and EDTA+CI groups, respectively (P<0.05). Conclusion: Dentin microhardness was affected by these irrigating solutions. There was a greater reduction of microhardness in the cervical and middle thirds with 17% EDTA plus PUI. When associated with PUI, 2% CHX and 2.5% NaOCl had no impact on microhardness.
Database Security Based on Human Authentication Using Facial Recognition

-Data is the most significant and essential entity to every organization. Companies invest millions of dollars in order to protect and manage the access to their data. The privacy and confidentiality of any data could be easily determined from the fact that the sensitivity of organizational data is because of its profit figures,business revenues, client details etc. If this falls into wrong hand or rivals and is being misused organizations have to bear a heavy loss and pay a penalty for that. So in order to protect our data and database we take the precautionary measures to the next level. We validate and restrict the access to the database according to the roles assigned to the human beings for records accessibility, on the basis of their facial features by using Eigenface algorithm Face recognition is a pattern recognition task performed specifically face either "known" or "unknown", after comparing it with stored known individuals. It is also desirable to have a system that has the ability of learning to recognize unknown faces. So when administrator inhibit details of employee then it will save in our database and the program will be asked to capture the image of the employee it takes 100 images per person and trained them and then store in training set after validation of image only then employee can further do work according to the roles assigned by administrator . In this way our database is secured using facial recognition.
Stroke Subtypes and Intracranial Large Vessel Stenosis Clinical and Radiological Profile

Objective: This study aimed at to identify stroke subtypes, clinical picture, outcome, prevalence of stroke-related risk factors and the prevalence of Intracranial(IC) large vessel Stenosis in ischemic stroke Egyptian patients. Materials and Methods: 504 consecutive acute cerebral stroke patients were enrolled to a prospective hospital-based study during a period of one year and submitted to clinical evaluation including National institute of health stroke scale (NIHSS), Modified Rankin Scale (MRS),baseline computed tomography (CT) scan, magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA). Results: The study revealed that 479 patients (95%) of study cases were ischemic strokes, 25 patients (5%) of study cases were primary Intracerebral Hemorrhage (ICH). Subtypes of acute ischemic stroke were: lacunar stroke 54.4 %. Large artery atherosclerosis 32.0 %. Cardio embolic 4.0 %. Undetermined etiology 8.9 %. Other determined etiology 0.7%. Median NIHSS score on admission was (7), Median NIHSS on discharge was (4). Median MRS score on admission was (3), Median MRS score on three months follow up was (1). The most prevalent risk factor for stroke was Hypertension (HTN) 70.1%, followed by Diabetes mellitus (DM)53%, Heart diseases(HD) 35.4%, with Ischemic Heart diseases (ISHD)22%, Atrial fibrillation (AF) 5.9 %, Myocardial infarction(MI) 1.4%. Past history (PH) of stroke 30.4%. Smoking 25.7%. Hyperlipidemia 8.9%. PH of Transient Ischemic Attacks (TIAs) 8.7%. PH of ICH 2.4%. (35.4%) of cases showed patent IC large vessels by MRA. (27.4%) of cases showed IC large vessel with (<50% stenosis). (22.9%) of cases showed IC large vessel with (>50% stenosis). (14.3%) of cases showed a totally occluded IC large vessel. Conclusion: Ischemic stroke is the most prevalent type of stroke (95%), Lacunar stroke (54.4%) is the most prevalent ischemic stroke subtype, HTN (70.1%) is the most prevalent risk factor for stroke. IC large vessel stenosis was prevalent among (64.6%) of study cases.
Tourists’ Behaviour in Purchasing Traditional Textiles in a Textile-Based Tourism Destination

Research on perceived authenticity of retail shops selling textiles and traditional clothing has lacked scholarly attention. This study focuses on retail shops selling textiles and traditional clothing. Research has been carried out on batik and traditional textiles, but few studies approached the subject from the viewpoint of consumer behaviour as it related to purchasing traditional textiles and clothing, particularly batik, an authentic Indonesian textile. This study aims to examine factors that influence the behaviour of consumers buying batik-based products. Stores atmosphere, perceived authenticity, and attitude towards purchasing were chosen as predictor variables. Participants were chosen accidentally and consisted of people who purchased batik as textile or clothing. Data were analysed using exploratory factor analysis and structural equation model. The authors found that the store atmosphere had a significant effect on perceived authenticity, purchase intention, and attitude towards purchasing. Perceived authenticity and attitude significantly influenced purchase intention, and purchase intention significantly affected purchase behaviour.
Rapid Immunochromatographic Test (RDT) Versus ELISA Technique for Diagnosing Toxoplasmosis among Individuals with Mental Disabilities

Background: Toxoplasmagondii is a ubiquitous protozoan parasite that is estimated to infect one-third of the world's human population. In the quest for a suitable diagnostic tool for detection of T. gondii antibodies, the rapid immunochromatographic test has been validated versus the enzyme linked immunosorbent assay (ELISA) technique for diagnosing toxoplasmosis among individuals with mental disabilities. Method: A cross-sectional study was carried out in Alexandria governorate, Egypt during the period from December 2015 to May 2016. Blood samples were collected from 188 mental disabled individuals. The first aliquot was tested by the rapid diagnostic test (RDT), the 2nd and 3rd aliquots were tested quantitatively for anti – T. gondiiIgG and IgM antibodies using ELISA test. Results: The seroprevalence of toxoplasmosis based on RDT was 26.6%, it significantly increased to 48.9% by using ELISA. The diagnostic parameters of RDT versus ELISA for IgG were: sensitivity 54.4%, specificity 100%, PPV 100%, NPV 69.6% with a diagnostic efficiency of 77.7%, while for IGM were: sensitivity 29.03%, specificity 100%, PPV 100%, NPV 87.7% and diagnostic efficiency 88.3%. Cohen's kappa coefficient was 0.549 and 0.406 for IgG and IgM respectively indicating good to moderate agreement between the two tests for detecting IgG and poor to fair agreement for IgM. Conclusion: Although RDT is inferior compared to ELISA, its speed, simplicity, low cost, high specificity and its good diagnostic efficiency in detecting IGG make it an important preliminary screening tool for diagnosing toxoplasmosis in remote endemic areas where facilities for ELISA are not available.
ECONOMIC SECURITY OF REGIONS AS A CRITERION FOR FORMATION AND DEVELOPMENT OF AGRICULTURAL CLUSTERS BY MEANS OF INNOVATIVE TECHNOLOGIES

The article provides an algorithm and development phases aimed at the creation of a complex economic security system for agricultural regions including an economic risk analysis and management system. In order to ensure the economic security of regions, the authors have developed a network model of cluster agricultural economy based on cooperation between small and medium-sized processing companies and suppliers of agricultural raw materials with due account for system requirements relating to economic security protection of business entities in the corresponding region. In this case, the cycle "Research — Production — Sales" remains within one cluster with the help of a corporate logistics system integrated into global networks, which allows all elements (business units) of the cluster to create a joint development framework and pricing strategy and establish fair distribution of profits among the units based on mutual competitive partnership principles, which, in their turn, promote economic security in the corresponding region. Classification and structure of clusters across the whole agricultural production of a region has been given. Apart from that, the authors have offered a methodology for defining economic potential of a cluster providing for synergetic effect of separate potentials and cumulative cluster potential achieved by integrating separate potentials. For the purpose of efficient cluster management, the authors suggest a model of cluster economy management, which includes management phases, goals, principles, and
Automated Identification of Latent Attributes of Twitter users

The success of twitter and the opportunities provided by it led to creation of new web based applications for social network and open new frontiers. Thus, discovering the usage pattern of social media sites might be useful in taking a decision about the design and implementation of those applications as well as educational tools. Therefore, in this study we extract tweets tweeted by user, analyze them and predict age group and gender attributes of Twitter users. Classification model is developed by employing lexical features and learning algorithms. The ability to classify latent user attributes, including gender and age exclusively from informal language used by the Twitter user/s has important applications in personalization, advertising, and recommendation. The work includes a novel investigation of classification algorithms over a rich set of features [1], applied for classifying these user attributes. Extensive analysis of features and approaches that are effective in classifying user attributes from casual written genres which are different from the other commonly spoken genres, are also included. Since Twitter only provides the name of its users, latent attributes are not available on social site directly, they are the hidden elements. So there is a need to develop a prediction system that predicts latent attributes of Twitter user based on his/her tweets. The investigation of same data set is also done with WEKA’s different classification algorithms. Then results of work carried out by the author and WEKA’s classifiers are compared and analyzed. As a conclusion statements, the study proved that our method works better than that of other Classifiers
Magnetic Excitations in Quantum Rare Earth Pyrochlores

Rare-earth pyrochlores are materials with chemical formula A2B2O7, where A is the rare-earth ion and B is a transition metal. At low temperature, these systems host various magnetic states such as spin ice, spin liquid state, ferromagnetic ordering, all in-all out, and anti-ferromagnetic ordering. For each rare-earth ion with total angular momentum J , the 2J + 1 fold degeneracy splits into singlets and doublets due to the crystal electric field. However, the crystal electric field ground state for most of the magnetic ions is a doublet that comes into three different varieties, labeled as Γ3, Γ4, and Γ5,6. This work focuses only on systems in which the ground state doublet is well-separated from the first excited state so that we end up with effective twostate systems, referred to as quantum rare-earth pyrochlores. The low temperature excitations of interacting spins have a wave nature and are referred to as spin waves or magnons, where the energy of these waves is quantized. To study these magnons, we apply the Holstein-Primakoff transformation on the effective spin Hamiltonian to construct a bosonic Hamiltonian that describes magnons. In this study, we limit ourselves to the linear spin-wave approximation in which we diagonalize the magnonic Hamiltonian analytically and numerically for various systems of interest. In particular, we study magnons in Nd2Zr2O7 which orders in an all in-all out state near 0.285 K, in Er2Ti2O7 with a antiferromagnetic state below 1.2 K, and finally the Yb2Ti2O7 which orders ferromagnetically near 0.2 K.
Stock Split in Insider Trading: Lessons from Malaysia

Average daily cumulative abnormal volume turnover (ACAVT) is an interesting indicator for research purposes to determine the existence of possibly insider trading. The objective of this paper is to examine the existence of the possibly insider trading prior stock split announcement by using ACAVT. A sample of 79 public listed companies in Bursa Malaysia which did stock split within the period of 2013 to 2017 is analyzed. This paper also studies sample with positive ACAVT to determine the relationship between insider trading and independent variables which are market capitalization and major shareholder. One Sample T-Test and Multiple Regression Analysis are used in the study. The results indicate that there is 36.71% or 29 of studies sample involved in suspicious of insider trading. However, the negative value of ACAVT’s mean indicates that there is no existence of possibly insider trading prior stock split announcement. Market capitalization and major shareholder are insignificant negatively associated with possibly insider trading.
Adherence to the Strengthening the Reporting of Observational Studies in Epidemiology Statement in Observational Studies Published in Iranian Medical Journals

Background: Although much medical knowledge comes from observational research, such studies are more prone to confounding and bias than others. This study was conducted to evaluate the adherence of the observational studies published in Iranian medical journals to the STROBE (strengthening the reporting of observational studies in epidemiology) statement. Methods: In this cross-sectional study, we selected 150 articles of Iranian medical journals, using multistage sampling from Aug 2016 to Jun 2017. The reported items of the STROBE statement in the articles was determined and considered as the adherence of the articles to the statement. The adherence of the articles with different characteristics was compared. Results: The adherence of the articles to the statement varied from 24% to 68% with a mean score of 48%±9%. The lowest mean scores were found in the Result (36%) and Method (49%) sections. The adherence was significantly better in the articles published in the journals indexed in PubMed or Web of Knowledge (ISI) databases (P<0.001) and those written by cooperation of the authors from other countries (P=0.044). Conclusion: The evaluated articles in our study had not adequately reported the items recommended by the STROBE statement. This indicates deficiency in key elements for readers to assess the validity and applicability of a study.
The Influence Of Creativity And Quality Customer Service To The Values Of Which Inspire The Designers For Lifting Indonesian Culture Internationally (Research on Women Kebaya Customer in Indonesia)

DOI: 10.21276/sjbms.2018. 3.8. 3 Abstract: Kebaya was born in Indonesia, especially in Java, then spread throughout the archipelago with a variety of cultural adjustment that enriched its form. Some designers start looking for ideas for preserving the cultural heritage through community activities kebaya lovers who want to develop the business sector with the creative industries by empowering home sewers. The method used is descriptive, while verification through hypothesis testing, modeling approaches use SEM. The results of the research reveales that creativity, supported by Quality of Service has a strong influence, resulting in the designers are difficult to develop their efforts because of the customers’ image to the rules / grip of Kartini kebaya, Kerancang, or other old models which are still maintained. Apart from the taste of customers constantly changing, causing the designer difficult to standardize Kebaya models that will be sold. In addition to its impact to the Customer Value less balanced between the value / benefits to be obtained at a cost that will be incurred. Customer Loyalty which was expected to last a long time in fact customers are beginning to miss the kebaya Kartini and feel tired of Kebaya Modification although not all customers are turning to other older models of Kebaya.
Business Intelligence: Evolution And Future Trends

Business Intelligence systems play a critical role in the business development process. They help make critical decisions based on meaningful information culled from a huge, complicated database system. Business intelligence also plays a key role in business growth and profitability by capturing real-time information and data pieces for market forecasting. As electronics media advance, companies are looking for the best data integration processes to integrate important information through electronic and computer devices to their business intelligence systems. The real challenge that organizations are facing is how to get real information in real time. In the past, organizations have adopted different solutions to integrate data into their business intelligence tools. Therefore, in terms of data and information integration, business intelligence has made significant improvements within the past three decades to meet ad hoc requirements of business intelligence users. Over the past two decades, there has been great progress in consuming and automating data in business intelligence, and there are trends and influences that are true inflection points in the industry. Periodically, trends in the industry have significantly changed important aspects of business intelligence applications: what they do, how they do it, or how they are used, either individually or collectively. This thesis discusses the evolution of business intelligence throughout different periods of time, and future trends in business intelligence.
Coupled water flow and quality modelling of an intermittent French river: The Vène

Coastal intermittent rivers have a specific hydrolo gical behaviour resulting in long draught periods interrupted by floods of high intensity and short duration, which also influence water quality dynamics. Indeed during low flow periods pollutants accumulate in the river bed and are flushed away b y the first floods (Dorioz et al., 1996 ; Walling et al., 2003). These rivers often constitute the only available water resource in semi-arid countries and hence are vulnerable to diffuse and point source pollution. To assess these impacts quantitatively, a number of studies have used coupled hydrological and water quality models (Plus et al., 2006, Tourno d et al., 2006, Bouraoui et al., 2005). SWAT is one of the most widely used models in the h ydrologic community (see Gassman et al., 2007 for a full review). Although its use for nutrient model ling is less documented in the literature than for fl w modelling (Tolson and Shoemaker 2007) more material is becoming available (Tolson and Shoemaker 2007, Srinivasan et al., 2005 , Muleta and Nicklow, 2004; Santi et al., 2001). One of the important assets of SWAT is that the min i um data to run it is predominantely available from US governmental agencies (Bekele and Wicklow, 2007; Nietsch et al., 2005). It can also account for point inputs and thus springs and STW l oads can be included into the modelling scheme without the need for a detailed understanding of th eir inner workings. However the use of SWAT on foreign catchments is not a straightforward task be cause the requested data is not always available, o r at least not at the desired time or space scales. A co mmon problem in the case of French catchments for instance, is that point pollution data is not alway s vailable. Indeed, for STWs that receive less tha n 120 kg of organic waste per day, nitrogen and phosphoro us monitoring are not mandatory (Journal Officiel, 1995). In addition, the monitoring frequency impose d for the remaining parameters does not necessarily match the modeller’s requirements or the catchment’ s hydrological dynamics. This is a crucial problem when working on small intermittent rivers because f low conditions vary rapidly and alter the river’s chemical and bacteriological composition. Hence, on e may question whether SWAT is a suitable tool for such rivers. The main purpose of this study is to explore the ad aptability of the SWAT model to intermittent rivers having direct inputs in the river from small STWs or karstic springs, in a setting where most o f the sediments and nutrients do not originate on the hil lslopes and where point inputs are tainted by vario us uncertainty levels. We will highlight the use of SW AT through an application for coupled flow and sediment simulations.