Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature Selection for Modeling Intrusion Detection

Feature selection is always beneficial to the field like Intrusion Detection, where vast amount of features extracted from network traffic needs to be analysed. All features extracted are not informative and some of them are redundant also. We investigated the performance of three feature selection algorithms Chi- square, Information Gain based and Correlation based with Naive Bayes (NB) and Decision Table Majority Classifier. Empirical results show that significant feature selection can help to design an IDS that is lightweight, efficient and effective for real world detection systems. Index Terms—Feature selection, network intrusion detection system, decision table majority, naive Bayesian classification.
Experimental Studies on Dynamics Performance of Lateral and Longitudinal Control for Autonomous Vehicle Using Image Processing

This paper presents a simulation of vehicle driving control system in terms of lateral and longitudinal control using image processing. The main contribution of this study is it contributes an algorithm of vehicle lane detection and tracking which based on colour cue segmentation, Canny edge detection and Hough transform. The algorithm gave good result in detecting straight and smooth curvature lane on highway even the lane was affected by shadow. Then by combining and processing the result of lane detection process with vehicle dynamics model, this system will produce the dynamics performance of vehicle driving control. This simulation system was divided into four subsystems: sensor, image processing, controller and vehicle. All the methods have been tested on video data and the experimental results have demonstrated a fast and robust system.
WellnessWordNet : A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polar ity

IT-based subjective well-being (SWB) services, a main part of wellness IT, should measure the SWB state of individuals in an unrestrained, cost-effective manner. The dictionaries for sentiment analysis available in the market may be useful for this purpose, but obtaining proper sentiment values using only words from the sentiment lexicon is impossible; therefore, a new dictionary including wellness vocabulary is needed. The existing sentiment dictionaries link only a single sentiment value to a single sentiment word, although sentiment values may vary depending on personal traits. In this study, we develop an extended version of the SenticNet sentiment dictionary dubbed WellnessWordNet. SenticNet is considered the best and most expressive among the already existing sentiment dictionaries. Using the information provided by SenticNet, we created a database including the wellness states (estimated values) of stress, depression, and anger to develop the WellnessWordNet system. The accuracy of the system was validated through actual tests with live subjects. This study is unique and unprecedented in that i) an extended sentiment dictionary, WellnessWordNet, is developed; ii) values for wellness state language are offered; and iii) different sentiment values, namely contextual polarity, for people of the same gender or age group are suggested.
Human-inspired Identification of High-level Concepts using OWA and Linguistic Quantifiers

Intelligent agent based system can be used to identify high-level concepts matching sets of keywords provided by users. A new human-inspired approach to concept identification in documents is introduced here. The proposed method takes keywords and builds concept structures based on them. These concept structures are represented as hierarchies of concepts (HofC). The ontology is used to enrich HofCs with terms and other concepts (sub-concepts) based on concept definitions, as well as with related concepts. Additionally, the approach uses levels of importance of terms defining the concepts. The levels of importance of terms are continuously updated based on a flow of documents using an Adaptive Assignment of Term Importance (AATI) schema. The levels of activation of concepts identified in a document that match these in the HofC are estimated using ordered weighted averaging (OWA) operators with linguistic quantifiers. A simple case study presented in the paper is designed to illustrate the approach.
Comment on a too simple model of the anthropogenic carbon cycle

In the discussion paper of Weber et al. (2015) a simple model of the anthropogenic carbon cycle is presented. The authors describe a simple linear model, consisting of one ordinary differential equation which describes the changes in CO2 content of the atmosphere over time. The two free parameters of the equation are derived by fitting the results of the model (carbon content of the atmosphere) to the observations or reconstructions covering the last 150 years. The model is then applied to calculate the response of the global carbon cycle to future anthropogenic emissions and some conclusions on the fate of the anthropogenic carbon emissions until the year 2150 are then drawn. The findings show a rather fast reduction in atmospheric CO2 and the conclusions are in contrast to the results of virtually all other global carbon cycle models, (e.g. Meinshausen et al., 2011; Stocker et al., 2013; Friedlingstein et al., 2014), which — in contrast to the simple model presented here — include the current state of understanding of the processes involved in the global carbon cycle.
Development of a precipitation-area curve for warning criteria of short-duration flash flood.

Abstract. This paper presents quantitative criteria for flash flood warning that can be used to rapidly assess flash flood occurrence based on only rainfall estimates. This study was conducted for 200 small mountainous sub-catchments of the Han River basin in South Korea because South Korea has recently suffered many flash flood events. The quantitative criteria are calculated based on flash flood guidance (FFG), which is defined as the depth of rainfall of a given duration required to cause frequent flooding (1–2-year return period) at the outlet of a small stream basin and is estimated using threshold runoff (TR) and antecedent soil moisture conditions in all sub-basins. The soil moisture conditions were estimated during the flooding season, i.e., July, August and September, over 7 years (2002–2009) using the Sejong University Rainfall Runoff (SURR) model. A ROC (receiver operating characteristic) analysis was used to obtain optimum rainfall values and a generalized precipitation–area (P–A) curve was developed for flash flood warning thresholds. The threshold function was derived as a P–A curve because the precipitation threshold with a short duration is more closely related to basin area than any other variables. For a brief description of the P–A curve, generalized thresholds for flash flood warnings can be suggested for rainfall rates of 42, 32 and 20 mm h−1 in sub-basins with areas of 22–40, 40–100 and > 100 km2, respectively. The proposed P–A curve was validated based on observed flash flood events in different sub-basins. Flash flood occurrences were captured for 9 out of 12 events. This result can be used instead of FFG to identify brief flash flood (less than 1 h), and it can provide warning information to decision-makers or citizens that is relatively simple, clear and immediate.
Leptin and lactogenesis in the periparturient dairy goat

We aimed to study the variation in milk leptin around the time of parturition in dairy goats, and whether milk leptin can be absorbed and play a role in systemic regulation in the neonate. The results indicate that colostrogenesis in goats does not involve accumulation of leptin in colostrum, but secretion of leptin into milk increases and peaks within the fi rst 2 days of lactation. This is likely the result of local regulation in the mammary gland in relation to lactogenesis. Our results did not suggest that milk leptin may play a role in systemic regulation in the neonatal goat.
Semi-Supervised Learning Based Prediction of Musculoskeletal Disorder Risk

This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those obtained by a backpropagation neural network. Comparison indicates an improved performance by the semi-supervised approach over the random forest classifier as well as neural network approach. Highest classification accuracy of 78.20% was achieved by the used semi-supervised approach with random forest as base classifier in comparison to an accuracy of 72.4% and 74.7% obtained by random forest and back propagation neural network approaches respectively. Thus results suggest that the proposed approach can successfully classify jobs into the low and high risk categories of low-back disorders based on lifting task characteristics.
Actes de la Conférence Nationale en Intelligence Artificielle et des Rencontres Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA)

An u-shapelet is a sub-sequence of a time series used for clustering a time series dataset. The purpose of this paper is to discover u-shapelets on uncertain time series. To achieve this goal, we propose a dissimilarity score called FOTS whose computation is based on the eigenvector decomposition and the comparison of the autocorrelation matrices of the time series. This score is robust to the presence of uncertainty ; it is not very sensitive to transient changes ; it allows capturing complex relationships between time series such as oscillations and trends, and it is also well adapted to the comparison of short time series. The FOTS score is used with the Scalable Unsupervised Shapelet Discovery algorithm for the clustering of 17 datasets, and it has shown a substantial improvement in the quality of the clustering with respect to the Rand Index. This work defines a novel framework for the clustering of uncertain time series.
Distributed Generator Status Estimation for Adaptive Feeder Protection in Active Distribution Grids

This paper proposes a framework for adaptive feeder protection in distribution grids with a high amount of distributed generators (DGs) installed. The scheme adapts the feeder protection relay settings according to the changes in the connection status of those DGs that have a significant impact on the fault current. The core of the method consists in the identification of the connection status of the DGs using an iterative modified state estimation (SE) program. The approach is illustrated using a realistic 31-node distribution network model.
Purification and characterization of cellulase from the wild-type and two improved mutants of Pseudomonas fluorescens

Cellulases from the wild-type (WT) and two improved mutants (catabolite repression resistant mutant 4 and 24, abbreviated CRRmt4 and CRRmt24, respectively) of Pseudomonas fluorescens were purified to apparent homogeneity by ammonium sulphate precipitation, ion exchange chromatography on DEAE Sephadex A-50 and gel filtration on Sephadex G-100. Purification fold of about 5 was obtained for the WT and CRRmt24 while purification fold of about 7 was achieved for CRRmt4 by ammonium sulphate precipitation. Ion exchange chromatography gave purification fold of about 24, 22 and 25 for WT, CRRmt4 and CRRmt24, respectively. Gel filtration chromatography step yielded a homogeneous preparation with a specific activity of 6.8, 5.9 and 6.9 units/mg protein for the WT, CRRmt4and CRRmt24, respectively. The purified cellulase gave a single protein band on polyacrylamide gel electrophoresis. The molecular weights of the three cellulases were estimated to be 36, 26 and 36 kDa for the wild-type, CRRmt4 and CRRmt24, respectively. Km values of 3.6, 3.1, and 5.3 mg/ml were obtained for the wild-type, CRRmt4 and CRRmt24, respectively. The optimum pH value for the purified cellulases was 6.5 – 7.0 and the enzymes were optimally active at temperature of 35°C. The activities of the purified cellulases were stimulated by low concentrations (10-30 mM) of Na+ and Mg++ while EDTA was found to inhibit enzyme activity at all concentrations.
First EURONEAR NEA discoveries from La Palma using the INT★

Since 2006, the European Near Earth Asteroids Research (EURONEAR) project has been contributing to the research of near-Earth asteroids (NEAs) within a European network. One of the main aims is the amelioration of the orbits of NEAs, and starting in 2014 February we focus on the recovery of one-opposition NEAs using the Isaac Newton Telescope (INT) in La Palma in override mode. Part of this NEA recovery project, since 2014 June EURONEAR serendipitously started to discover and secure thefirst NEAs from La Palma and using the INT, thanks to the teamwork including amateurs and students who promptly reduce the data, report discoveries and secure new objects recovered with the INT and few other telescopes from the EURONEAR network. Five NEAs were discovered with the INT, including 2014 LU14, 2014 NL52 (one very fast rotator), 2014 OL339 (the fourth known Earth quasi-satellite), 2014 SG143 (a quite large NEA), and 2014 VP. Another very fast moving NEA was discovered but was unfortunately lost due to lack of follow-up time. Additionally, another 14 NEA candidates were identified based on two models, all being rapidly followed-up using the INT and another 11 telescopes within the EURONEAR network. They include one object discovered by Pan-STARRS, two Mars crossers, two Hungarias, one Jupiter trojan, and other few inner main belt asteroids (MBAs). Using the INT and Sierra Nevada 1.5 m for photometry, then the Gran Telescopio de Canarias for spectroscopy, we derived the very rapid rotation of 2014 NL52, then its albedo, magnitude, size, and its spectral class. Based on the total sky coverage in dark conditions, we evaluate the actual survey discovery rate using 2-m class telescopes. One NEA is possible to be discovered randomly within minimum 2.8 deg 2 and maximum 5.5 deg 2 . These findings update our past statistics, being based on double sky coverage and taking into account the recent increase in discovery.
Physical Activity Levels and Performance in Italian Adolescents with Cystic Fibrosis: A Multicenter Cross-sectional Study

The aim of this study was to compare physical performance in Italian adolescents with different habitual activity levels and to examine its relationship with peripheral muscle strength and quality of life. At regular clinic visits in 5 cystic fibrosis (CF) Centres in Italy, 35 subjects performed spirometry, incremental shuttle walk test (ISWT), one-repetition maximum (1 RM) and completed the Habitual Activity Estimation Scale (HAES). Subjects were divided into two groups, based on activity levels derived from the HAES. More active subjects achieved higher ISWT distance (ISWD) (1040.4 m vs.851.3 m, p=0.2) and described better body image perception (75.7% vs. 66.7% p=0.3) than subjects in the less active group, but these results did not reach a statistical significance. There was no correlation between ISWD, lung function and quality of life, but we observed a moderate correlation between ISWD and upper limb strength (r=0.46). Our data showed that more active subjects did not differ from less- active ones. Further studies should choose alternative tools to assess physical activity levels in order to detect the real engagement in vigorous activities, making it easier to compare and combine results and promote educational intervention.
The Change in Chaucerian Aesthetics: From The Tale of Sir Thopas to The Tale of Melibe

Chaucer‟s The Tale of Sir Thopas and The Tale of Melibee exhibit the transformation from the romance tradition to philosophical narration, exaggerating romance as an unrealistic narration and presenting philosophical narration as a more realistic literary form. Chaucer the pilgrim firstly starts with romance (The Tale of Sir Thopas) and then continues with a philosophical tale (The Tale of Melibee), which is derived from Boethius‟s Consolation of Philosophy. In this respect, the role of Chaucer the pilgrim is very important to display the change in Chaucerian literary aesthetics. Furthermore, displaying the negative attitudes of the pilgrims, as a representative audience, towards The Tale of Sir Thopas, which starts with the interruption of the tale, and the positive remarks of the pilgrims towards The Tale of Melibee, Chaucer exhibits the reception process of his tales, which can be defined as the reflection of the literary aesthetics not only of the poet but also on the part of the audience/readers. Hence, it can be suggested that, presenting the approval of a more realistic philosophical narrative, Chaucer not only reflects the change in literary aesthetics, but also shapes this change in literary aesthetics. Thus, the aim of this article is to discuss the literary aesthetics of the change from romance to philosophical narration, and to claim that this representation of literary aesthetics is functional in displaying Chaucer‟s literary selffashioning.
The Sunburst Arc: Direct Lyman α escape observed in the brightest known lensed galaxy

We present rest-frame ultraviolet and optical spectroscopy of the brightest lensed galaxy yet discovered, at redshift z = 2.4. This source reveals a characteristic, triple-peaked Lyman {\alpha} profile which has been predicted by various theoretical works but to our knowledge has not been unambiguously observed previously. The feature is well fit by a superposition of two components: a double-peak profile emerging from substantial radiative transfer, and a narrow, central component resulting from directly escaping Lyman {\alpha} photons; but is poorly fit by either component alone. We demonstrate that the feature is unlikely to contain contamination from nearby sources, and that the central peak is unaffected by radiative transfer effects apart from very slight absorption. The feature is detected at signal-to-noise ratios exceeding 80 per pixel at line center, and bears strong resemblance to synthetic profiles predicted by numerical models.
NPs in Japanese conversation

This paper is a discourse-pragmatic analysis of nominal phrases (NPs) that speakers of Japanese produce in informal dyadic conversational interaction. More specifically, it examines NPs in terms of their relations to 'intonation units' (Chafe 1987, 1993, 1994) as basic units of discourse production and information flow in spoken discourse. The present study addresses the following research questions:
Erosive and Abrasive Wear Resistance of Polyurethane Liners

Material removal caused by the impact and sliding of a stream of particles is a typical wear mode in the oil and gas industry. Protective coatings can be employed to increase the service life of equipment that is exposed to harsh erosive and abrasive environments. Among all the types of protective coatings and liners, polyurethane elastomers have received great attention owing to their excellent wear resistance and comparatively low cost that would allow for large-scale applications. The excellent wear resistance of polyurethane elastomers is a result of their high resilience and propensity to elastic deformation that enables the absorption of impact energy of erodant particles with minimal damage. The relation between the wear resistance of polyurethane and its mechanical properties has been the subject of previous studies. This chapter reviews the research that has been conducted to study the wear resistance of polyurethane elastomers. Testing apparatuses employed, material characterization techniques, evaluations of material removal mechanisms, and parameters with the strongest effect on wear resistance of polyurethane elastomers are herein explored. A review of finite element modelling approaches for in-depth study of the wear phenomenon of polyurethane elastomers is also presented in this chapter.
Analysis of porcine DNA in several food products

Species identification in food products has grown interest in recent years since these foodstuffs are liable targets for fraudulent labelling. Consumers of Halal products typically buying those with a Halal logo stamped on the packaging without doubt for its authenticity. DNA-based methods on PCR amplification were used to identify the presence of porcine DNA in the processed food samples. Genomic DNA of porcine was extracted using DNA-Sorb-C and subjected to PCR amplification targeting the mitochondrial 12S rDNA gene and porcine leptin gene (LEP). Out of 66 samples, 37 samples showed amplified product of 387 bp with mitochondrial 12S rDNA gene and 59 samples showed amplified products of 152 bp with LEP. The verification for Halal authentication of food products is significant for economical, religious and public health concerns.
2 × 2 Achievement goals profiles in chilean competitive and recreational athletes: a first look

Цель: изучить с помощью плана 2 х 2 профили чилийской молодежи, регулярно участвующей в соревнованиях спортивного и оздоровительного характера. Материал: участники 108 девушки и 132 юноши из Чили. Участники были распределены с надлежащей надежностью и уровнем достоверности с использованием плана 2x2 (латинский квадрат). Результаты: показано, что полная выборка имела достоверные (р -0,05) и значимые (Hedges’ g range 1.13 - 2.91) отличия в уровне мастерства по сравнению с другими тремя критериями успешности. Мужчины значительно (р -0,05) превосходили женщин по обеим критериям и мастерству. Эти различия определены в средней значимости (Hedges’ g range .40 - .46). Не обнаружено значительных различий между участниками в видах спорта и в оздоровительных видах конкуренции на всех этапах соревнований. Подтверждено отсутствие существенных различий, что не позволяет утверждать об успехе одной из сторон. Выводы: настоящие данные представляют первый взгляд профилей участников спортивных соревнований в Чили с использованием плана 2x2. Полученные данные выборки чилийских участников гораздо меньше, чем можно найти в спортивной психологии и в литературе. Поэтому необходимы дополнительные исследования, прежде чем эти результаты можно распространить на чилийских участников спортивных соревнований. Будущие исследования должны также изучить взаимосвязи, предпосылки и последствия использования плана 2x2 в спортивной психологии в Чили.
Does Corporate Governance Influence Banking Performance

This paper investigates the impact of corporate governance variables on the financial performance of the banking sector in Pakistan. The data of financial performance and corporate governance variables of thirty banks are used for the period of 2001-2009. The panel regression analysis is applied to determine the impact, firstly for the whole banking sector, and secondly for different types of banks. The results show that there is a significant impact of corporate governance variables on the performance of the overall banking sector in Pakistan. But there is no significant impact of corporate governance practices on the performance of foreign banks.
THE CURRENT STATUS OF GEOTHERMAL EXPLORATION AND DEVELOPMENT IN CANADA

Comparatively low costs for hydroelectricity and fossil fuels have had a restraining influence on levels of exploration and development for geothermal energy resources in Canada for the past several years. Since 1995, when Pacific Geopower suspended its high-temperature drilling project at Meager Creek, B.C., the focus of development has been in the areas of low temperature geothermal energy technology (involving aquifer thermal energy storage or heat pumps) and in the exploration and assessment of hotspring resources primarily for recreational applications – although possibly for other direct uses depending on local infrastructure and access to appropriate energy markets. This paper reviews the current status of the geothermal industry (both high and low temperature) in Canada.