Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Periodic Patterns to Discover Events in Twitter : Extended Abstract

Finding events in Twitter feeds is an important task in disaster relief information system. Most of the previous study on event detection require userspecified keywords for filtering tweets and identifying events. When confronted with the problem of specifying keywords, researchers have tried to address this problem by extracting keywords from the articles of other sources, such as news sources and blogs. This approach of collecting keywords from other sources has two major limitations: (i) delay in identifying events and (ii) difficulty in developing domain-specific event detection application. This describes the automatic discovery of keywords from Twitter data using periodic pattern mining, which aims at finding all sets of keywords that have not only appeared frequently, but also occurring regularly in the data. Experimental results demonstrate that periodic patterns can provide useful information about the keywords, which in turn can be used for identifying events.
ACEI working paper series BETTER OFF DEAD ? PRICES REALISED FOR AUSTRALIAN

Using auction sales data on Australian paintings over the period 1995 and 2003 we investigate the relationship between artists‟ living status and the price of paintings sold at auction. For deceased artists we consider the time since their death and for living artists their conditional life expectancy. Hedonic regression analysis is applied separately to the data on Indigenous and non-Indigenous paintings. Comparing the modelling results across Indigenous and non-Indigenous paintings we see evidence of two different patterns of response to an artist‟s living status. Both yield non-linear impacts but for Indigenous paintings these are quadratic and for non-Indigenous they are quartic. Thus the response to living status in the more recent market for Indigenous paintings is different to the more established market for non-Indigenous paintings. Whilst the responses differ for the two types of paintings, in answer to the question posed and in terms of the price of a painting at auction an artist is better off long dead or close to death.
DEPOSITION PRESSURE AND HYDROGEN DILUTION EFFECTS ON THE SPECTRAL RESPONSE OF THIN FILM NANOCRYSTALLINE SILICON SOLAR CELLS

The radio frequency plasma enhanced chemical vapor deposition (rf PECVD) is widely used for the growth of thin film nanocrystalline silicon (nc-Si:H) solar cells. The performance of the solar cell is largely affected by the different deposition parameters. It is therefore imperative to optimize growth conditions for different deposition parameters. In this work, we report on the investigation of the effect of hydrogen dilution and the deposition pressure on the performance of nc-Si:H solar cell. These rf PECVD parameters were for the growth of the nc-Si:H absorber layer. The results show that the blue response of the solar cell is sensitive to the hydrogen-to-silane dilution ratio and the deposition pressure of the absorber layer. The long wavelength response is minimally affected. We show that by using a regulated gas flow supply to avert the so-called transient depletion, the blue response is further enhanced.
Chlorhexidine-Alcohol Versus Povidone-Iodine for Surgical Site Antisepsis

The term evidence-based medicine was first coined by ackett and colleagues as “the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients. ” The key to practicing evidence-based medicine is applying the best current knowledge to decisions in individual patients. Medical knowledge is continually and rapidly expanding and it is impossible for an individual clinician to read all the medical literature. For clinicians to practice evidence-based medicine, they must have the skills to read and interpret the medical literature so that they can determine the validity, reliability, credibility, and utility of individual articles. These skills are known as critical appraisal skills. Generally, critical appraisal requires that the clinician have some knowledge of biostatistics, clinical epidemiology, decision analysis, and economics as well as clinical knowledge. The Canadian Association of General Surgeons and the American College of Surgeons jointly sponsor a program entitled, “Evidence-Based Reviews in Surgery (EBRS),” supported by an educational grant from Ethicon Inc and Ethicon Endo-Surgery Inc. The primary objective of this initiative is to help practicing surgeons improve their critical appraisal skills. During the academic year, 8 clinical articles are chosen for review and discussion. They are selected not only for their clinical relevance to general surgeons, but also because they cover a spectrum of issues important to surgeons; for example, causation or risk factors for disease, natural history or prognosis of disease, how
starszym wieku History of falls as a risk factor for functional decline in the elderly

Background. The aim of the study was to assess the influence of falls in the past year on physical and functional fitness in the elderly. Materials and methods. To cross-sectional study subjects over 60 years of age were included. Medical history and questions concerning falls and fear of falling was obtained using a questionnaire. Physical fitness was measured as hand grip strength, Timed up and Go test (TUG), one-leg and tandem stance test and body sway on balance platform. Cognition was assessed by Abbreviated Mental Test Score (AMTS), mood by Geriatric Depression Scale (GSD), functional abilities by Instrumental (IADL) and basic Activities of Daily Living (ADL). Results. Mean age of 140 persons was 79.64 ± 6.99 years. Comparing with non-fallers, fallers significantly more often had mood disorders, were at risk of malnutrition, had worse balance on one leg and in tandem stance, increased sway and TUG > 14 s, and worse IADL and ADL score. The number of falls correlated positively with GDS score, TUG, body sway, and negatively with scoring of balance tests, IADL and ADL. In logistic multiple regression analysis, after adjustment for other confounders influencing functional status, falls were independently associated with the risk of TUG > 14 s (OR: 10.16; 95% CI: 2.06–50.18; p = 0.004), with the risk of loss of balance in „tandem” position (OR: 2.96; 95% CI: 1.12–7.82; p = 0.03) and with the risk of increased lateral sway (OR: 5.29; 95% CI: 2.32–12.05, p < 0.001). Conclusions. Falls in the elderly contribute to functional decline involving a deterioration of stability expressed through increased sway, deterioration in the balance, particularly the lateral stability in tandem position, and slower moving represented by longer performance of TUG test. Gerontol. Pol. 2011; 19, 3–4: 150–160 key words: falls, elderly, physical fitness, functional fitness, balance Wstęp Postępujące z wiekiem zmiany degeneracyjne, współistniejące choroby i stosowane leki oraz przebyte urazy, ograniczając sprawność osób starszych, sprzyjają występowaniu upadków. Ten „wielki problem geriatryczny” dotyczy co 3. osoby po 65. roku życia, a po 80. roku życia — już co 2. [1, 2]. Znaczenie upadków związane jest z ich następstwami w postaci urazów fizycznych i psychicznych [2]. Złamania, urazy głowy, poważne stłuczenia, a także lęk przed kolejnym upadkiem są przyczyną ograniczenia aktywności, pogorszenia sprawności, w konsekwencji zaś
GINS: THE CNES/GRGS GNSS SCIENTIFIC SOFTWARE

The Centre National d’Etudes Spatiales (CNES) and t he Groupe de Recherche de Géodésie Spatiale (GRGS) develop the multi-technique GINS software for their space geodetic activities. In preparation to the Ga lileo system deployment, GNSS data processing capability have been implemented. GINS performance is illustrated through 4 applications including precis orbit determination of GPS, GLONASS and GIOVE satellites and GNSS Precise Point Positioning processing.
MULTISCALE ANALYSIS OF MULTIVARIATE DATA

For many applications, nonuniformly distributed functional data is given which lead to large–scale scattered data problems. We wish to represent the data in terms of a sparse representation with a minimal amount of degrees of freedom. For this, an adaptive scheme which operates in a coarse-to-ﬁne fashion using a multiscale basis is proposed. Speciﬁcally, we investigate hierarchical bases using B-splines and spline-(pre)wavelets. At each stage a least-squares approximation of the data is computed. We take into account different requests arising in large-scale scattered data ﬁtting: we discuss the fast iterative solution of the least square systems, regularization of the data, and the treatment of outliers. A particular application concerns the approximate continuation of harmonic functions, an issue arising in geodesy.
on the Characteristics of Long-Term Adaptation ( II )

This final contract report describes the findings from the second year of a two-year research program investigating the characteristics of long-term operator adaptation in nuclear power plants (NPPs). The report consists of two volumes. This document, volume 1, describes the results of analyses of data from tuning and fault trials in a 6month longitudinal study of operator adaptation using the novel measures of adaptation that were developed in last year’s contract. While last year’s research focused on analysing performance for the startup task during normal trials only, this research focused on normal tuning trials and fault management trials. Since the tuning tasks occurred between startup and shutdown tasks, the results were contaminated by the fact that different subjects experienced different system states. Nevertheless, the results showed that the overall performance of all subjects improved over the course of experiment, and that the Ecological Interface Design (EID) group exhibited more consistent behaviour. The analysis of fault management trials provided much more insights about subjects’ knowledge of the system functions. It showed that the EID interface supports fault detection, diagnosis, and compensation. The performance of the EID subjects generally was also better than that of the subjects using the P interface. Finally, volume 1 closes by providing a theoretical integration of this year’s findings and those obtained in last year’s project on long-term operator adaptation. These findings have implications for the design and evaluation of human machine systems in NPPs.
Frequency of Referrals of Cancer Patients Referred to Hospitals Affiliated to the Babol University of Medical Sciences according to the International Classification of Diseases

J Babol Univ Med Sci; 19(12); Dec 2017; PP: 55-62 Received: Sep 15 2017, Revised: Nov 15 2017, Accepted: Dec 4 2017. ABSTRACT BACKGROUND AND OBJECTIVE: Cancers are a wide range of diseases, and their numbers are increasing but the severity of the disease is varied in different cancers. This study was conducted to evaluate the frequency of referrals of cancer patients referred to hospitals affiliated to the Babol University of Medical Sciences based on ICD10. METHODS: This retrospective study was conducted on all cancer patients referring to hospitals affiliated to Babol University of Medical Sciences from 1992 to 2016. The information related to the patients who referred to these centers for the first time were collected and reviewed using a checklist including hospital name, case number, age, sex, occupation, marriage, place of residence, type of cancer and ICD code. FINDINGS: The highest frequency of cancer patients was related to male gender (50.7%, 3575 patients), married patients (87.2%, 6147 patients), and were related to Babol (16.8%, 1889 patients), Amol (14.4%, 1018 patients) and Sari (11.8%, 833 patients). Most of the patients were in the age group of 70 and above and the problem was mostly associated with the gastrointestinal organs, breast and respiratory organs. There was no significant difference between the type of cancer and the place of residence, but there was a significant relationship with age, sex, type of residence, type of occupation and marital status (p=0.05). CONCLUSION: The results of the study showed that the pattern of cancer in different cities is similar and increases with age.
WRITING MATHEMATICS THROUGH DOMINANT DISCOURSES : THE CASE OF A GREEK SCHOOL MATHEMATICS MAGAZINE

In the present article, we examine the use of ‘traditional’ and ‘progressive’ discourses in a Greek school mathematics magazine (Euclid A). The analysis indicates that Euclid A seems to draw on both traditional and progressive discourses in order to write mathematics for his/her readers. However, the prevailing lexicogrammatical features are mostly connected with traditional rather than progressive discourse. This means that the general background against which the two discourses are articulated in the textual corpus is that of traditional discourse. From a critical discourse analysis perspective, the ‘progressive’ discourse enacted in Euclid A functions ideologically: far from ensuring equitable access to school mathematics, it creates confusion. Thus, being subjugated by the dominant traditional discourse, ‘progressive’ discourse perpetuates the established order in school mathematics.
Intelligent coordination of demand response and secondary frequency control in multi-area power systems.

 Abstract —Frequency control is among most important issues in a power system due to increasing size, changing structure and the complexity of interconnected power systems. Increasing economic constraints for power system quality and reliability and high operational costs of generation side controllers have inclined researchers to consider demand response as an alternative for preserving system frequency during off-normal conditions. However, the main obstacle is calculating the accurate amount of load related to the value of disturbances to be manipulated, specifically in a multi-area power system. Dealing with this challenge, this paper makes an attempt to find a solution via monitoring the deviations of tie-line flows. The proposed solution calculates the magnitude of disturbances and simultaneously determines the area where disturbances occurred, to apply demand response exactly to the involved area. To address communication limitations, the impact of demand response delay on the frequency stability is investigated. Furthermore, this paper introduces a fuzzy-PI-based supervisory controller as a coordinator between the demand response and secondary frequency control avoiding large frequency overshoots/undershoots caused by the communication delays. To evaluate the proposed control scheme, simulation studies are carried out on the 10-machine New England test power system.
Novel chemical synthesis of sulfur thin film for supercapacitor application

Binder less and additive free sulfur thin film is prepared at room temperature (300 K) first time in literature from simple chemical route. The X-ray diffraction (XRD) study analyzed formation of crystalline orthorhombic sulfur. Scanning electron microscopy (SEM) revealed micro-spheres composed surface morphology. Supercapacitive properties of sulfur thin film are analyzed through cyclic voltammetry (CV) and galvanostatic charge-discharge techniques. Large potential window of 0 to +1.6 V is achieved for sulfur electrode in neutral 1 M LiClO4-propylene carbonate (LiClO4-PC) electrolyte. The highest specific capacitance and specific energy of 25 Fg and 0.48 Whkg is achieved, respectively at 5 mVs scan rate. After 600 consecutive CV cycles of sulfur, 90 % capacitance is retained in PC-LiClO4. An electrochemical impedance measurement shows supercapacitive behavior of sulfur.
Geopolymerization behavior of fi ne iron-rich fraction of brown fl y ash

Iron rich brown fly ash has been segregated into (a) coarse, and (b) fine size fractions using air classification. The suitability of fine iron-rich fly ash (CFA) has been evaluated for the synthesis of geopolymer. The behavior of CFA based geopolymer in relation to reactivity, NaOH concentration and sodium silicate to sodium hydroxide (S/H) ratio has been studied. The concentrations of NaOH (6, 8, 10 and 12 M) and S/ H ratios (0.33, 1.0 and 3.0) were the variable parameters. Calorimetric studies revealed that the total heat release increased with NaOH concentration, but decreased with the increase in S/H ratio. The geopolymer synthesis was done by thermal curing at 60 °C for 24 h. It was found that the compressive strength increased with an increase in the NaOH concentration. The increase in S/H ratio from 0.33 to 1.00 resulted in a significant increase in the compressive strength, but a further increase from 1.00 to 3.00 resulted in a slight decrease in compressive strength. High strength geopolymer mortar up to 70 MPa at 28 days was obtained, when the mixture was formulated with 12 M NaOH and S/H ratio of 1.00. From SEM-EDS studies, an increase in the degree of reaction and formation of geopolymer gel was observed with increase in NaOH concentration. Also it revealed that the geopolymer gel obtained was ferro-sialate based polymers with chemical formula close to [Ca, Na]-[-Fe-O-]x-[-Si-O-Al-O-]1 x-[-Si-O-]y, wherein “x” is less than or equal to 0.5, and “y” is a value between 0 and 25. Formation of the compact microstructure has resulted in improved strength properties of geopolymer. & 2016 Elsevier Ltd. All rights reserved.
Formative assessment system of multimedia-based college English teaching using constructivism theory

Teaching assessment is an important guarantee of improving higher education quality, an integral part of the teaching process and an important means in promoting teaching activities. Popularisation and computerisation of higher education demand more from college English teaching, while the course assessment system is unreasonable, imperfect and unscientific. In this article, the status of a college English teaching assessment system is introduced, and a formative assessment system of multimedia-based college English teaching is constructed, conducive to enhancing students’ motivation in English learning, promoting them to optimise learning strategies and effectively developing their practical English ability. Also, student-centred experimental research was conducted on a formative assessment system, and proposals are made that sound assessment mechanisms, more complete systems of teaching management and credit management must be established, with the incentive mechanism improved to solve problems that constrain teachers in implementing formative assessment. Teachers are encouraged to participate in formative assessment reform.
of the Annual Meeting of the Cognitive Science Society Title Testing a Computational model of categorisation and category combination : Identifying disease categories and new disease combination Permalink

The diagnostic evidence model gives a computational account of how people classify items in single categories and in category combinations (complex categories formed by combining two or more single categories). This model sets out to explain generativity in category combination (the fact that people can classify items in new category combinations even if they have never seen any examples of those combinations). The model also aims to explain context effects such as overextension in category combination. In an experiment people learned to identify imaginary diseases from artificiallyconstructed patient descriptions, and then classified new patient descriptions into combinations of those disease categories. The model accurately predicted people's classification scores for patient descriptions in these disease combinations, requiring no free parameters to fit the experimental data. The experiment showed that both generativity and overextension can occur in combinations of artificially-constructed disease categories, and confirmed the model’s predictions about when overextension and generativity will occur.
REDUCTION OF POWERLINE NOISE IN ECG SIGNAL USING FIR DIGITAL FILTER IMPLEMENTED WITH HAMMING WINDOW

Electrocardiogram (ECG) signal plays a vital role in the monitoring and diagnosis of the health conditions of heart. The most significant noises that corrupt ECG signal are powerline interference, electromyogram, baseline wander and electroencephalogram. Designing digital filters to suppress these noises is very important in ECG signal processing. In this work a digital FIR filter for reducing 50Hz powerline noise in ECG signal is designed and implemented with Hamming window. FDA tool of matlab is used for generating the ECG signal and noise, and also observing the results. A comparison of the effectiveness of the filter designed with hamming window with that of an adaptive filter is also carried out.
POST CORONARY REVASCULARIZATION PATIENT USING SIX MINUTE WALK-TEST

Cardiac rehabilitation program (CRP) as modification of excercise and education for cardiac patients recover post heart attact, or other cardiac disease or post cardiac surgery significantly decreased cardiovascular risk and efficiently as longterm management of coronary revascularization but also underutilized. The objective of this study was to analize the effects of fase II CRP on functional capacity of post coronary revascularization patients by using the six minute walk test which is simple and well tolerated test for cardiac patients. Fourty three post coronary revascularization patients were selected for this study. All patients had complete revascularization two month before test. These samples allocated to two groups. Interventional group (n=22, mean age: 58,32 ±6,98 years) completed the fase II CRP for 4 weeks but reference group (n= 21, mean age: 59,00 ±6,16 years) didn’t have excercise programs. At the beginning of study, functional capacity of patients was evaluated by six minute walk test. After 4 weeks of fase II CRP, functional capacity was evaluated for the second time in each group. Data were analyzed using paired T test statistic analyzis for comparing first and second six minute walk test and Independent sample T test statistic analyzis for comparing between two groups. A significant improvement was observed in the interventional group compared to the reference group in walking distance (419,73 ±73,80 m vs 307,24 ± 61,99 m, p<0.001) and also in comparing pre and post-test, a significant changes in both groups was observed (p<0.001). Fase II Cardiac Rehabilitation program significantly improves functional capacity and this evolution was shown by six minute walk test wich is an easy and safe and low cost test. (FMI 2014;50:86-91)
Diabetes Diagnosis System Based on Support Vector Machines Trained by Vortex Optimization Algorithm

Artificial intelligence is widely enrolled in different types of real-world problems. In this context, developing diagnosis-based systems is one of the most popular research interests. Considering medical service purposes, using such systems has enabled doctors and other individuals taking roles in medical services to take instant, efficient expert support from computers. One cannot deny that intelligent systems are able to make diagnosis over any type of disease. That just depends on decision-making infrastructure of the formed intelligent diagnosis system. In the context of the explanations, this chapter introduces a diagnosis system formed by support vector machines (SVM) trained by vortex optimization algorithm (VOA). As a continuation of previously done works, the research considered here aims to diagnose diabetes. The chapter briefly gives information about details of the system and findings reached after using the developed system