Miracle-dz/UniFAR-FTUs huggingface dataset:
Memory equalizer for lateral management of heterogeneous memory

Modern computers increasingly use more types of memory such as phase-change memory and high-bandwidth memory. Consequently, it is more complex and difficult to manage memory effectively. This paper presents a vision of memory management and its key component called fraction cache, which is a type of two-level exclusive cache. The fraction cache is flexible and encompasses a broad solution space. More importantly, its parameters can be automatically optimized. As a demonstration, the fraction cache is used to minimize the DRAM need to sometimes less than 1% of the program data size.
Malicious URL Detection using Machine Learning Algorithms

Malicious URLs are a dangerous threat to cyber security, these types of attacks can lead to scams, where people lose money, their information and accounts. It is important to be able to detect and act against these threats, the most conventional way is the use of blacklists, but this technique has many difficulties in acting against new URLs, so we are increasingly focused on machine learning algorithms, and that is precisely the focus of this paper. In this paper, we'll cover the most common and dangerous attacks through malicious URLs, how they work, and how to prevent them. We will focus on and analyze more concretely a technique to detect, which uses algorithms of Machine Learning.
UTS CAI submission at TRECVID 2017 Video to Text Description Task

In this paper, we aim at summarizing our experiments related to the video to text description task of TRECVID 2017 [1]. The task consists of two subtasks, i.e., Matching and Ranking, and Description generation. Our approach for description generation is based three main phases: the extraction of the high-level image feature, the aggregation of multiple image features and the sentence generation based on a probabilistic language model. For every phase, we tried several state-of-the-art techniques, and obtain the optimal combination according to the experiment results. In the matching and ranking task, we use the generated descriptions as the ground truth and rank the candidate descriptions with the similarity computed by two metrics: BLEU [9] and METEOR [3].
Part-of-SPeech tagging: the Power of the Linear SVM-baSed fiLtration Method for ruSSian Language

We present our approach to Part-of-Speech tagging and lemmatization tasks for Russian language in the context of MorphoRuEval-2017 Shared Task. The approach ranked second on the closed track and on several test subsets it ranked first. We proposed a filtration-based method which seamlessly integrates a classical morphological analyzer approach with machine learning based filtering. The method addresses both tasks in a unified fashion. Our method consists of two stages. On the first stage we generate a set of candidate substitutions which simultaneously recovers the normal form and provides all necessary morphological information. We select an optimal substitution for the current word given its context on the second stage. The filtration stage of the presented method is based on Linear SVMs extended with hash kernel. The extension reduces the size of our model by an order of magnitude and allows to easily tune the tradeoff between the precision and the model size.
Evaluation of the musculoskeletal problems related to Occupational health of sweet makers of West Bengal

Objective : The objective of the study was to evaluate work related musculosketal problems of the sweet-makers and to identify causative working postures leads to stress. Background : Informal sweet making sectors spread over the entire country. Many people are involved in the industry. However, no reports so far, as per our knowledge, are available concerning the assessment of work related musculoskeletal disorders (WMSDs) of the sweet-makers of India. Methods : The working postures were captured by still photography and were evaluated using Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA). Modified Nordic musculoskeletal disorder questionnaire was used to get information about discomfort of the workers and BPD scale was used to evaluate the degree of discomfort. Result : The results indicated that the working postures of the sweet-makers were very strenuous. The regions of maximum discomfort were head, neck, shoulder, wrists, upper and lower back and mild discomforts were felt at waist, knees and ankles. Although intensity of discomfort varies in workers based on their predominant working postures. Conclusion : The strenuous postures were associated with WMSDs of the sweet-makes, which could lead to physiological hazards and ultimately the productivity. Implementation of proper workstation is recommended for the betterment of the workers.
Antibacterial activity of silver nanoparticles immobilized in zinc oxide-eugenol cement against Enterococcus faecalis: An in vitro study 1

Introduction: the aim of this study is to evaluate the antimicrobial capacity of silver nanoparticles immobilized in a zinc oxide-eugenol (ZOE) cement against Enterococcus faecalis for potential use in endodontic treatments. Method: experimental in vitro study, performing synthesis of silver nanoparticles (AgNPs) and UV-visible spectroscopy to confirm presence of AgNPs in the prepared solutions. The ZOE mixture was standardized, producing the integrated AgNPs/ZOE material. Scanning electron microscopy (SEM) and Fourier-Transform Infrared Spectroscopy (FTIR) were used to characterize the integrated material; a Kirby-Bauer assay was finally run to measure the inhibition halos produced by the compound-microorganism interaction. Results: the UV-visible spectroscopy showed presence of AgNPs in the created solution; both SEM and FTIR show that the AgNPs are integrated into the ZOE system, not altering their properties when performed under conditions like those found in the mouth. The Kirby-Bauer assay shows that all samples had inhibition halos. The AgNPs in guava extract had statistically significant differences with the halos of the other samples ( p < 0.05). Conclusions: the obtained AgNPs show bactericidal activity against Enterococcus faecalis , as a statistically significant difference was found between the AgNPs suspended in guava extract and the other groups; this will be the starting point for future research.
Tissue protection immunohistochemistry - an innovative method to improve diagnosis accuracy in prostate cancer Imunohistochimia cu protec ţie tisular ă - o metod ă inovativ ă de a îmbun ătăţ i acurate ţea diagnostic ă în cancerul de prostat ă

Prostate biopsy is the standard procedure used in the diagnosis of prostate cancer. Immunostains, add i tional to standard stains, are sometimes necessary for correct interpretation and classification of at ypical, minute lesions. However, immunohistochemistry becomes nonc ontributory in the situation of loss of suspected fafter repeated sections from the paraffin block. This sit uation, which is not at all infrequent in prostate pathology, led to the design of special techniques that make immun ostaining possible. We further present the results of an innov ative technique of tissue protection immunohistoche mistry which allows the immunostaining on an initially H&E stained slide. Unlike other methods described befor e, this technique does not require H&E destaining p rior to session and did not involve saving intervening unst ained sections for possible immunohistochemical examination. The great advantage of tissue protection immunohist ochemistry is that it allows simultaneous examination of H&E and immunostaining on the same slide. It only r equires that the original H&E-stained sections to b e placed on charged slides.
SYSTEMIC CRISIS MANAGEMENT AND THE IMPACT ON MONETARY POLICY. THE INVOLVEMENT OF CENTRAL BANKS

In a systemic crisis, many institutions in the fi nancial system may face a lack of liquidity and central banks, as lenders of last resort, have to support them in order to ensure their fi nancial stability. The question is: To what extent the involvement of central banks in systemic crises management, by providing liquidity to credit institutions, affects their ability to accomplish the central goal of monetary policy price stability? To answer this question, through this study, we conducted an empirical analysis on the effect which central banks’ involvement in systemic crises management, through liquidity support, has on monetary policy objectives, mainly on price stability. Using a principal components analysis, we built a Monetary policy index and we developed a regression model between this index and the liquidity support provided by central banks in systemic crises. The conclusion we reached is that the provision of liquidity by the central bank to banking institutions in the system affects its monetary policy objectives only on the short -term. Specifi cally, providing liquidity support leads to an increase in both monetary aggregates and consumer price index in the fi rst two years of the crisis, after which there is a signifi cant dilution of this impact.
Challenging Knowledge Extraction to Support the Curation of Documentary Evidence in the Humanities (short paper)

The identification and cataloguing of documentary evidence from textual corpora is an important part of empirical research in the humanities. In this position paper, we ponder the applicability of knowledge extraction techniques to support the data acquisition process. Initially, we characterise the task by analysing the end-to-end process occurring in the data curation activity. After that, we examine general knowledge extraction tasks and discuss their relation to the problem at hand. Considering the case of the Listening Experience Database (LED), we perform an empirical analysis focusing on two roles: the 'listener' and the 'place'. The results show, among other things, how the entities are often mentioned many paragraphs away from the evidence text or are not in the source at all. We discuss the challenges emerged from the point of view of scientific knowledge acquisition.
Implementing a Modular OO Verifier

Conventional specifications for object-oriented (OO) programs must adhere to behavioral subtyping in support of class inheritance and method overriding. However, this requirement inherently weakens the specifications of overridden methods in superclasses, leading to imprecision during program reasoning. Therefore, we advocate for a fresh approach to OO verification which focuses on multiple specifications that cater to both calls with static and dynamic dispatching. We introduce a novel specification subsumption mechanism that can help avoid re-verification, where possible. Our aim is to lay the foundation for a practical verification system that is precise, concise and modular for sequential OO programs. We shall exploit the separation logic formalism to achieve this.
Application of real-time polymerase chain reaction for analysis of porcine DNA in gelatine-containing capsule shell for halal authentication

Gelatine used for capsule shells is made from porcine or bovine origins. Several methods for porcine DNA identification in numerous products have been reported for halal authentication. The negative results of a specific determination toward porcine DNA remained unclear, whether negative results were caused no porcine DNA in product or due to the failure during DNA extraction, therefore it is necessary to confirm the presence of bovine gelatine in capsule shell. The aim of this study is to confirm the bovine gelatine using specific primer from bovine D-loop. From two pair of primers designed, only primer D-loop93 (F: ACACAGAATTTGCACCCTAA, R: GTACATTACCCCTTGCGTAG) had the capability to identify bovine DNA either in fresh tissue or gelatine sources with the optimum annealing temperature of 51.4oC. The limit of detection of DNA in gelatine is 5 pg. All commercial capsule shells were analyzed using primer D-loop 93, and the results showed that all commercial capsule shells are amplified.
ParaPhrased Plagiarism detection using sentence similarity

The paper describes an approach to plagiarism detection within Plag­ EvalRus­2017 competition. Our system leverages deep parsing techniques to be able to detect moderately disguised plagiarism. We participated in the two tracks of the competition: source retrieval (sources detection) and text alignment (paraphrased plagiarism detection). There are various cases of plagiarism presented in datasets of both tracks. They vary by the level of disguise that was used while reusing text. The results show that our method performed quite well for detecting moderately disguised forms of plagiarism.
Domain-specific transformation of the REA enterprise ontology

The paper deals with the general description of the methodology of the transformation of basic concepts of the REA enterprise ontology (Resource, Event, Agent) from the initial visual modeling interface to model source codes. The paper describes the structure of the script of the domainspecific language (DSL) and its subsequent transformation into the executable source code using abstract classes for defining the structure of the template code. The aim is the creation of the basic structure of the concept of templates and layout the code generated from the created model. The model is due to excessive complexity limited to the use of three basic concepts of REA enterprise ontology. KeywordsREA ontology; DSM; DSL; transformation
Effectiveness of Opuntia ficus indica L. inermis Seed Oil in the Protection and the Healing of Experimentally Induced Gastric Mucosa Ulcer

Gastric ulcer is a painful lesion of the gastric mucosa which can be disabling, or even more very serious in the case of a perforation of the stomach and internal hemorrhage. Traditional pharmacopeias have shown the efficacy of various plant extracts in the treatment of this pathology. Some extracts from Opuntia ficus indica (OFI) have been proven to have medicinal therapeutic benefits. The aim of this study was to investigate the preventive and curative effects of OFI seed oil extracted by cold pressing on an ethanol-induced gastric ulcer model in rats. Gastroprotective activities of the oil were assessed as pretreatments prior to ethanol gavage of Wistar rats compared to reference drugs. Two oil dose effects were tested. Ulcer and gastric parameters were measured (ulcerated areas (mm2), % of ulcer inhibition, gastric juice volume and pH, and mucus weight). Macroscopical and microscopical assessments of the stomachs as well as gastric biopsy histological studies were carried out. OFI oil exhibited a high efficiency in the protection of the cytoarchitecture and function of the gastric mucosa against the severe damages provoked by ethanol intake. Ulcerated areas were very significantly reduced and the % of ulcer inhibition was the highest under OFI oil pretreatment. Mucus production was stimulated, gastric juice volume was reduced, and its pH was increased. Histopathological examination of H&E-stained biopsies collected from gastric mucosae from the different experimental groups confirmed the gastroprotective efficacy of OFI oil against ethanol-induced symptoms such as inflammation and damages like bleeding, erosions, lesions, necrosis, and ulcers. Furthermore, OFI oil treatment speeded-up the reduction of the surface of ethanol-induced ulcerated areas in a dose-dependent manner, leading to a time gain in the healing process. The healing rate reached 91% on day 2 and 99% on day 3, and a complete heal was attained at the fourth day under OFI oil treatment, while ulcer areas were still partially unhealed in all the other groups. The therapeutic effects of OFI oil against gastric ulcer could be mediated by its varied bioactive compounds that we have demonstrated in the analytical study. They could act synergistically or in a delayed manner to optimize the healing process through protective antioxidant properties, as well as an antagonism against histamine H2-receptors, a stimulation of the signaling pathways necessary for mucus and bicarbonate production, and reduction of inflammatory processes in the gastric mucosa. Additionally, OFI oil fatty acids (especially unsaturated) and triacylglycerols contribute to the reconstruction and the repair of the cell membrane lipid bilayer during the gastric ulcer healing process.
Environmental Toxicology REPRODUCTIVE SUCCESS OF BELTED KINGFISHERS ON THE UPPER HUDSON RIVER ELI S. BRIDGE* and JEFFREY F. KELLY

Belted kingfishers (Megaceryle alcyon) are predators in many North American aquatic ecosystems; as such, they are prone to bioaccumulation of certain environmental contaminants. In 2002 and 2004, kingfisher eggs collected near the upper Hudson River in New York had elevated concentrations of polychlorinated biphenyls (PCBs), and the kingfisher population in this area was reported to be at risk because of PCB exposure. From 2007 to 2009, the authors monitored 69 kingfisher nests on the Hudson River to track both nest success and survival of individual nestlings. The study site consisted of 2 adjacent sections of the Hudson River, 1 upstream and 1 downstream of a historic PCB source. The authors compared models of nest success that differentially incorporated the following 4 variables that they deemed most likely to affect reproductive output: 1) river section (upstream vs downstream of PCB source), 2) year, 3) hatch date, and 4) abandonment by 1 parent. After ranking models according to Akaike’s information criterion for small sample sizes, it was clear that parental abandonment was the most important of the factors examined. River section was not an important parameter, and overall nesting success was slightly higher in the PCB-contaminated section than in the upstream area. These findings support the conclusion that kingfisher productivity is not adversely impacted by PCB contamination in the upper Hudson River. Environ Toxicol Chem 2013;32: xx–xx. # 2013 SETAC
Knowledge Management System for Fetal Movement during Pregnancy

During pregnancy period the inconsistent fetal movement complications or decreasing causes fetal death and stillbirth. Development of knowledge management system model for decreased fetal movement facilitates the diagnosis of the pregnancy complication from large medical dataset. Prevention of decreasing fetal movement during gestation at trimester period is the main task of the study in medical diagnosis system.The more suitable data mining algorithm such as Wrapper based Genetic Algorithm, Artificial neural Network and Support vector machine had been used for building the model. The study addressedthat improving pregnant women care quality due to decreasing fetal movement (DFM) using stacking method. Combining performance of both algorithm maintain the best solution that scored 99.2% accuracy.
Optimal block-sparse PCA for high dimensional correlated samples

A new principal component analysis (PCA) method is proposed which is performed on a subset of blocks of consecutive entries of the population data vectors. This block-based dimensionality reduction introduces a trade-off by which the accuracy of the dominant eigenvector of the dimension-reduced sample covariance matrix is enhanced while some population entries are discarded. This scheme is particularly suited (but not restricted) to population eigenvectors with localized energy and rather sparse structures. Unlike many sparse PCA algorithms, the originality of our scheme lies in its providing an online selection of the subset of blocks which, in the large dimensional regime where both population and sample sizes grow large, provably ensures optimal alignment between population and sample eigenvectors. Moreover, our method inherently handles (a priori unknown) linear correlation between sample data.
UNIVERSITÀ DEGLI STUDI DI SIENA QUADERNI DEL DIPARTIMENTO DI ECONOMIA POLITICA

Incumbents' winback actions recently received a growing antitrust scrutiny in network industries. These actions refer to incumbents’ strategies aimed at regaining, through targeted marketing and selective discounts, former customers who switched to a new entrant. We analyze the impact of winback actions on competition and discuss pros and cons of a temporarily ban on incumbent's side, through the so-called 'winback rules'. JEL: D43, K21, L41, L43.
Adverse Effects of Amphetamines on Cardiovascular System: Review and Analyses of Trends

This manuscript is a hybrid study of; data crunching and retrospective analysis of a trends database (1), and a systematic review of literature in relation to the amphetamines-induced adverse effects on the cardiovascular system (2). Google Trends database has been analysed in retrospect (2012-2017) to evaluate the attentiveness of surface web users towards amphetamine and a potent renowned amphetamine derivative known as captagon (fenethylline).
Taking care of chronically ill adolescents and their families: doctors, nurses and social workers as a multidisciplinary integrated team or separate professionals? A qualitative investigation

Summary. The progressive diffusion of chronic diseases induces a substantial increase of the number of adolescent patients. Falling ill or being sick during this delicate phase of individual development determines, often, important consequences on the quality of family relationships. Today, multidisciplinary team must respond to physical needs of these teen-ager and their families, but also manage their psychological and social rehabilitation. These teams are composed by operators different for training and professional experience. This research, carried out according to a qualitative paradigm and by narrative methodology, tries an exploratory analysis of different descriptions used by doctors, nurses and social professions telling about family relationship of their patients.
1 Excrescent stops in American English

This study investigates whether excrescence is phonological epenthesis or articulatory overlap by investigating whether a prosodic domain boundary intervening between the nasal and the fricative affects insertion. Articulatory overlap effects are expected to remain constant across the board, whereas phonological epenthesis is expected to be targeted for domain-final lengthening. The duration results are that neither excrescence nor underlying segments are affected by domain-final lengthening, but excrescent closure is significantly shorter than underlying closure. The short segments support an articulatory overlap hypothesis, but the lack of final lengthening opens up new questions for further research.
Automated methods in the diagnosing of retinal images

This report contains a summation of a variety of articles that have been read and analysed. Each article describes different methods that can be used to detect lesions, optic disks, drusen and exudates in retinal images. I.e. diagnose e.g. Diabetic Retinopathy and Age-Related Macular Degeneration. A general approach is presented, which all methods more or less is based on. Methods to locate the optic disk  The PCA  kNN Regression  Hough Transform  Fuzzy Convergence  Vessel Direction Matched Filter  Etc. The best method based on result, reliability, number of images and publisher is kNN regression. The result of this method is remarkably good and that brings some doubt about its reliability. Though the method was published at IEEE and that gives the method a more trustful look. A next best method which also is very useful is Vessel Direction Matched Filter. Methods to detect drusen – diagnose Age-Related Macular Degeneration  PNN classifier  Histogram approach  Etc. The best method based on result, reliability, number of images and publisher is the PNN classifier. The method had a sensitivity of 94 % and a specificity of 95 %. 300 images were used in the experiment which was published by the IEEE in 2011. Methods to detect exudates – diagnose Diabetic Retinopathy  Morphological techniques  Luv colour space, Wiener filter an Canny edge detector. The best method based on result, reliability, number of images and publisher is an experiment called “Feature Extraction”. The method includes the Luv colour space, Wiener filter (remove noise) and the Canny edge detector.