Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Technology Risks as Seen by the Public

Risks related to information technology (IT) are becoming a focus of concern in current risk debates. The use of IT is rapidly spreading in the population, as is access to computers in general. The present article reviews the literature on IT use (especially electronic mail and various Internet applications) and the related risks. In addition, the results from a survey about IT use and risk perception, given to a random sample of the Swedish population, are reported. In general, participants were quite positive to IT and were, to some extent, aware of the related risks. However, risks of IT were mostly seen as pertinent to other people, a finding in contrast with other results on perceived technology hazards. The attitude toward the use of IT was strongly related to general attitude toward computers, and less clearly to risk perception. Only a small percentage of the respondents reported having had negative experiences with IT hazards such as Internet addiction, depression, and social isolation. When extrapolated to the general population, however, these small percentages amount to large groups in the population that have been negatively affected by IT use.
An integrated knowledge-based intelligent programming environment for novice programmers

INTELLITUTOR was designed as an environment that integrates programming education and friendly programming aids. It consists of three major modules, GUIDE, ALPUS and TUTOR. GUIDE is a guided editor for easy coding, ALPUS is an algorithm-based program understander, and TUTOR is an intelligent tutoring system. The ALPUS system can infer a user's intention from buggy programs by means of knowledge-based reasoning. INTELLITUTOR attempts to work as a human programming tutor to guide a user, i.e. a student, who is trying to write programs, to detect logical errors, and to give advice not only for fixing them but also for identifying his misunderstandings. The key knowledge used to understand a user's programs consists of knowledge about algorithms, programming techniques and errors, and is organized in a form of a hierarchical data structure called a hierarchical procedure graph (HPG). <<ETX>>
Optimization of SARIMA model using genetic algorithm method in forecasting Singapore tourist arrivals to Malaysia

This article proposes a numerical study of the genetic algorithm (GA) method in identifying the order and estimating the parameters of SARIMA model (GA-SARIMA). The primary goal of this study is to improve the traditional SARIMA model procedure for modeling Singapore tourist arrivals to Malaysia. Exponential smoothing and traditional SARIMA models were used as the benchmark model for model comparison. The findings of this study indicated that a combination of methods is more precise than a single process and GA can become an alternative in finding parameters and model orders of the SARIMA model. 8482 Mohd Zulariffin Md Maarof et al.
Data Analytics Framework : R and Hadoop – Geolocation based Opinion Mining of Tweets

Internet social media services such as Twitter have seen phenomenal growth as millions of users share opinions on different aspects of life every day. This tremendous growth has induced an interest in making use of such data for extracting valuable information, such as their opinions, location of the users and certain other information. In this paper we have analyzed the tweets related to crime attributes against women and children, different sort of crimes that are prevailing , the location in which the users tweets are more frequently occurring related to crimes. The proposed work make use of R language for extracting real time tweets and relies upon Hadoop-based framework for storing the tweets as they are larger in number. The tweets are parsed under Hive environment and we build a sentiment classifier in R that is able to determine positive, negative and neutral sentiments for a given phrase. We observe that the elapse time for processing under Hadoop based framework significantly outperforms the other conventional methods and is more suited for real time streaming tweets. Keywords– Big data, Hadoop, Hive, R, Sentiment, Tweets, Location, Crime
Microformats Based Navigation Assistant - A Non-intrusive Recommender Agent: Design and Implementation

The multiple ways in which we rely on the information available on the web to solve increasingly more tasks encountered in day-to-day life has led to the question whether machines can help us parse the amounts of data and bring the interesting closer to us. This kind of activity, most often, requires machines to understand human defined semantics which, fortunately, can be easily done in today’s web through semantic markup. The purpose of the proposed project is to build a flexible tool that understands the behaviour of a user on the web and filters out the irrelevant data, presenting to the user only the information he/she is most interested in, while being as discreet as possible: the user is required no preference settings, no explicit feedback.
Isolation and characterization of polymorphic microsatellite loci from the water mite Hygrobates fluviatilis (Acari: Hydrachnidia: Hygrobatidae)

We developed and characterized 13 microsatellite markers from the water mite Hygrobates fluviatilis. The genotypes of 32 diploid females were assessed, and all of the loci were polymorphic. The number of alleles per locus ranged from two to 21, and the observed heterozygosity ranged from 0.063 to 0.813. These microsatellite markers are the first published for water mites and will contribute to research on the population structure of this widespread species.
Design of a facility layout model in hybrid cellular manufacturing systems under variable demand

Changes in demand, as one of the issues of volatile manufacturing systems, decline the performance of manufacturing systems over the time; especially, it degrades the effectiveness of layout in manufacturing systems. Although the layout of the arrangement of facilities on the shop floor play a significant role in the effectiveness of manufacturing systems, it has not absorbed the attention of researchers in hybrid manufacturing systems. In this paper, a new mathematical model for facility layout in a hybrid cellular manufacturing system has been proposed, which considers demand varying over the planning horizon. The model minimises the material handling cost. To solve the model, a simulated annealing algorithm from literature has been improved. The comparison of results between two algorithms shows the superiority of the improved algorithm in both the quality of solutions and computational time.
Genomic Structure and Promoter Analysis of Phosphoenolpyruvate Carboxylase in a C3 Plant, Nicotiana sylvestris

Three genes encoding phosphoenolpyruvate carboxylase were isolated from Nicotiana sylvestris and designated Nsppc1-3. Sequencing of nucleotides showed that the coding sequence and deduced amino acid sequences were highly conserved among the genes, but sequences for noncoding regions including introns and 5′-flanking regions were not conserved. Analysis of the transcript level of the genes by a combination of reverse transcriptase-PCR and restriction fragment polymorphism showed mostNsppc1 in the leaves, stems, roots, and cultured cells of N. sylvestris. β-Glucuronidase activity was detected histochemically in mesophyll cells in leaves, lateral buds, and vascular bundles in roots of transgenic tobacco harboring a chimeric construct of the Nsppc1 promoter and the gene for β-glucuronidase. Deletion analysis indicated the presence of a silencer-like element for basal expression in the promoter region of Nsppc1.
Segmentation and extraction of linear features for detecting discrepancies between LIDAR data strips

Discrepancies in LIDAR data strips still exist despite the development of the system and many related researches because of its own systematic characteristics. This paper presents an algorithm for detection and adjustment of discrepancies between LIDAR strips. The extraction of conjugate features in overlapping LIDAR strips is a prerequisite step. In this paper, a simple and robust algorithm is proposed to automatically extract the linear features, which are used as conjugate features. With these linear features, discrepancies are measured and adjusted by applying 3D similarity transformation.
Bacterial Pathogens Commandeer Rab GTPases to Establish Intracellular Niches

Intracellular bacterial pathogens deploy virulence factors termed effectors to inhibit degradation by host cells and to establish intracellular niches where growth and differentiation take place. Here, we describe mechanisms by which human bacterial pathogens (including Chlamydiae; Coxiella burnetii; Helicobacter pylori; Legionella pneumophila; Listeria monocytogenes; Mycobacteria; Pseudomonas aeruginosa, Salmonella enterica) modulate endocytic and exocytic Rab GTPases in order to thrive in host cells. Host cell Rab GTPases are critical for intracellular transport following pathogen phagocytosis or endocytosis. At the molecular level bacterial effectors hijack Rab protein function to: evade degradation, direct transport to particular intracellular locations and monopolize host vesicles carrying molecules that are needed for a stable niche and/or bacterial growth and differentiation. Bacterial effectors may serve as specific receptors for Rab GTPases or as enzymes that post‐translationally modify Rab proteins or endosomal membrane lipids required for Rab function. Emerging data indicate that bacterial effector expression is temporally and spatially regulated and multiple virulence factors may act concertedly to usurp Rab GTPase function, alter signaling and ensure niche establishment and intracellular bacterial growth, making this field an exciting area for further study.
The Evaluation and Treatment of the Injured Acromioclavicular Joint in Athletes

Injuries to the acromioclavicular joint are among the most commonly occurring problems in the athletic patient population. However, these injuries are often confused with other problems associated with the shoulder complex. This confusion was noted by Hippocrates (460-377 BC), who realized that acromioclavicular dislocation often was misdiagnosed as a glenohumeral injury. Galen (129-199 AD) experienced an acromioclavicular dislocation and could not tolerate the tight bandaging recommended at the time and thus became one of the earliest noncompliant patients. The understanding of acromioclavicular injuries and their management has evolved rapidly during the last 2 decades. This review will clarify the current concepts in the management and treatment of acromioclavicular injuries in the athlete.
Correlation of Hyperforin Content of Hypericum Perforatum(St John’s Wort) Extracts with Their Effects On Alcohol Drinking in C57Bl/6J Mice: A Preliminary Study

Extracts of the herb St John’s Wort have been shown to reduce alcohol intake in alcohol-preferring rats, but it is not known which of the constituent(s) are responsible for this effect. In this study, the effect of a crude methanolic extract ofHypericum perforatum(negligible hyperforin content) on alcohol drinking in C57BL/6J alcohol-preferring mice was compared with that of a hyperforin-rich extract (45% hyperforin) prepared by extracting the herb with supercritical carbon dioxide. The dose of the hyperforin-rich extract required to significantly reduce 10% ethanol intake (5 mg/kg) was 125-fold less than that required for the crude extract (625 mg/kg), and was comparable to the dose of fluoxetine (10 mg/kg) required to produce a similar effect. None of these agents significantly affected water intake. These results suggest that the effects of H. perforatumextracts on alcohol drinking behaviour are due to the hyperforin content of the herb rather than to other, more polar constituents. Hyperforin is an unstable compound and this study also highlights the effect of different methods of extract preparation on hyperforin content.
Approximating Elementary Functions with Symmetric Bipartite Tables

This paper presents a high-speed method for function approximation that employs symmetric bipartite tables. This method performs two parallel table lookups to obtain a carry-save (borrow-save) function approximation, which is either converted to a two's complement number or is Booth encoded. Compared to previous methods for bipartite table approximations, this method uses less memory by taking advantage of symmetry and leading zeros in one of the two tables. It also has a closed-form solution for the table entries, provides tight bounds on the maximum absolute error, and can be applied to a wide range of functions. A variation of this method provides accurate initial approximations that are useful in multiplicative divide and square root algorithms.
Recanalisation of the closed ductus arteriosus in a critically ill infant with transposition of the great arteries

Abstract We describe the case of an infant who was a late presenter of transposition of the great arteries where we proceeded with ductal stenting to improve oxygenation and left ventricle training. Stenting improved the infant’s saturation while keeping the left ventricle well trained for 4 months after the procedure. This report demonstrates that intermediate-term left ventricle training can be achieved via ductal stenting.
In vitro characterization of lectin-induced alterations on the proliferative activity of three human melanoma cell lines

Lectin binding is known to be able to elicit signalling events relevant for various aspects of cell physiology. The influence of lectin binding on melanoma cells remains relatively unexplored. The aim of our study was to investigate the in vitro effects of five plant lectins, namely peanut (PNA), wheat germ (WGA), concanavalin A (Con-A), Griffonia simplicifolia (GSA-IA4) and Phaseolus vulgaris (PHA-L) agglutinins, on the cell proliferation of melanoma cell lines (SK-MEL-28, HT-144 and C32) cultured in media supplemented with either 10% or 1% fetal calf serum (FCS). Cell proliferation was assessed by means of the tetrazolium derivative reduction (MTT) assay. Four lectin concentrations were tested, namely 0.05, 0.5, 5 and 50 ug/ml, in four experimental settings, namely 1, 3, 5 and 7 days after the addition of each lectin to the culture media. Determination of the cell gain compartment (percentage of cells in the S and G2 phases of the cell cycle) was done by means of digital cell image analysis assessed on Feulgen-stained nuclei. Our results demonstrated that of the five lectins under study, four had a globally significant dose-dependent toxic effect on melanoma cell proliferation. The fifth lectin, PNA, had a significant stimulatory effect on the C32 cell line. Low doses of lectins may produce a transient increase in cell proliferation. Increasing the FCS from 1% to 10% in the culture media significantly antagonized lectin-induced toxicity in the three cell lines. The cell kinetics measurements showed that the inhibition of cell growth was merely due to cell death. The present data strongly suggest that some lectins might influence the proliferation of melanoma cells. In addition, because lectins are present in our diet and are able to pass into the systemic circulation, we speculate that lectins may exert an influence on melanoma growth under clinical conditions.
Analysis of a Silicon Dual-Coupled-Ring Resonator Modulator Based on Push–Pull Coupling Tunings

We present a silicon dual-coupled-ring resonator modulator with push–pull coupling tunings. The basic idea of this scheme is to construct a dual-coupled-ring resonator structure in which the coupling coefficients of all coupling regions are tunable through Mach–Zehnder interferometers operated in push–pull modes. Two coupling coefficients are tuned jointly for optical bandwidth shaping and tuning while another coupling coefficient is tuned for high speed and chirp-free modulation. The fundamental analytical expressions for the intensity transmittance, the critical and the resonance conditions of the proposed dual-coupled-ring resonator modulator are derived. In addition, the performance simulations and optimization are presented and compared with those of the single-ring resonator modulator. The proposed dual-coupled-ring resonator modulator is more likely to achieve wide optical bandwidth tuning range and narrow channel spacing simultaneously, which are suitable for future optical processing and interconnects.
Predictive Value of a Proposed Subclassification of Stages I and II Cervical Cancer Based on Clinical Tumor Diameter

Hospital records of 4490 patients treated for International Federation of Gynecology and Obstetrics (FIGO) stage IB, IIA, or IIB carcinoma of the cervix between 1960 and 2001 at 1 institution were reviewed. Outcomes were estimated using the Kaplan-Meier method and compared using the log-rank method. A proportional hazards regression model was used to evaluate the relative importance of predictive factors. The rates of disease-specific survival and pelvic disease control were strongly correlated with tumor diameter, FIGO stage, histological subtype, and clinical node status. Regression analysis demonstrated that a diameter of greater than 4 cm, a diameter of greater than 6 cm, FIGO stage II (vs IB), the presence and level of lymph node involvement, and histological subtype were all highly significant independent predictors of poor disease-specific survival. Intermediate tumor-diameter categories (>5 cm or >7 cm) and FIGO stage IIB (vs IB or IIA) did not contribute significant additional information to the model. Only a tumor diameter of greater than 4 cm, a diameter of greater than 6 cm, the presence of lymph node involvement, and histological subtype were independent predictors of pelvic disease control. On the basis of these results, we propose dividing each of the FIGO categories IB, IIA, and IIB into 3 groups according to clinical tumor diameter: (1) less than or equal to 4 cm, (2) 4.1 to 6 cm, and (3) greater than 6 cm. The proposed modified system would provide more accurate prognostic information, facilitate comparisons, and maintain continuity with the current staging system.
Optimization aspects relatively to placement of components of gate array VLSI

In this paper optimization aspects relatively to circuit component placement problem for gate array VLSI are discussed. Practical and theoretical aspects of the methods of component placement are concerned as well. Effective heuristic algorithms for the initial placement and iterative placement improvement are described. An original strategy of global placement optimization is investigated. Some experimental results based on an automatic placement subsystem for gate arrays AUTO PLACE developed at Department of Practical Informatics of Kaunas University of Technology are presented.
A New Type of Compact Antenna Test Range

The application of conventional reflector type compact antenna test ranges (CATR), becomes increasingly difficult above 100 GHz. The main problems are the tight surface accuracy requirements for the reflector, and therefore the high manufacturing costs. These problems can be overcome by the use of a new hologram type of compact range, in which a planar hologram structure is used as a collimating element. This new idea is described, and its performance is studied with theoretical analyses and measurements at 110 GHz.
Variable ordering and selection of FSM traversal

The authors consider the problem of variable ordering in algorithms for verification of finite state machines (FSMs) for which the traversal is based on BDD (binary decision diagram) representation and image computation via implicit enumeration. They treat two separate BDD ordering problems: (1) minimization of the representation of the next state function and the representation of the set of reachable states, and (2) a selection heuristic to reduce the complexity of the image computation problem by dynamic selection of the implicit enumeration splitting variables. In both problems they present theoretical results based on the algebraic structure of the next state functions, heuristic ordering methods, and favorable experimental results for problems with significant algebraic structure. <<ETX>>
Comparison between nicorandil and magnesium as an adjunct cardioprotective agent to percutaneous coronary intervention in acute anterior myocardial infarction.

BACKGROUND It has been reported that both nicorandil and magnesium have a cardioprotective effect in experimental ischemia - reperfusion models. In the present study, the cardioprotective effects of nicorandil and magnesium as an adjunct to reperfusion therapy in patients with acute myocardial infarction (AMI) were compared. METHODS AND RESULTS Forty consecutive patients with AMI caused by occlusion of anterior descending coronary artery were randomized into 3 groups: (1) Group N: nicorandil was given as 4 mg iv and 4 mg ic before reperfusion, followed by continuous infusion at 4 mg/h for 24 h; (2) Group M: magnesium was administered at 10 mmol iv before reperfusion, followed by continuous infusion at 0.4 mmol/h for 24 h; and (3) Group C: neither nicorandil nor magnesium was given. Left ventriculography was performed immediately after reperfusion and 3 months later. There was no significant change in regional wall motion (RWM) in either Group C or M, whereas that of group N improved significantly. The change in RWM in Group N was significantly greater than in Group C (Group N: 0.92+/-0.92, Group M: 0.44+/-0.80, Group C: -0.01+/-0.65, p<0.05). CONCLUSIONS The early administration of nicorandil as an adjunct to reperfusion is useful for cardioprotection in AMI, but magnesium is not.
Optimal base-stock level of the stochastic economic lot scheduling problem

The stochastic economic lot scheduling problem (SELSP) considers the make-to-stock production of multiple standardized products on a single machine with limited capacity, possibly random set-up times under random demands, and possibly random processing times. The SELSP is an NP-hard inventory problem. The solution methods for solving the SELSP may be classified into two categories, analytic approaches and heuristic approaches. However, these approaches usually take much computation time to secure an optimal solution. In this work, we propose a method that combines the artificial bee colony (ABC) algorithm and ordinal optimization (OO) theory to find a good enough solution quickly of SELSP. The proposed method utilizes the advantages of multi-directional search in ABC algorithm and goal softening in OO theory. The SELSP is firstly formulated as a polling system with quantity-limited lot-sizing policy. Then, the proposed method is applied to find a good enough base-stock level of the polling system using limited computation time. Test results further demonstrate that the proposed method is promising in the aspects of solution quality and computational efficiency.
A Hybrid Secure watermarking technique in Telemedicine

— For healthcare applications, a hybrid multiple watermarking has been projected in this paper. For authentication and identity purpose, the projected scheme makes use of two watermarks, one in the form of text watermark which includes diagnostic information of the patient and the other image watermark includes the hospital logo. In order to improve the robustness performance of the scheme DWT, DCT and SVD is applied while inserting the multiple watermarks to reduce the noise effects on the watermarked image. The security of the text and image watermark is enhanced by using Arithmetic coding and Arnold transform respectively before inserting into the original medical image. Various experiments have been carried out on different medical imaging modalities to estimate the performance of the projected scheme in terms of imperceptibility, robustness and security even after different types of attacks.