Miracle-dz/UniFAR-FTUs huggingface dataset:
An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR

Missing traffic data are inevitable due to detector failure or communication failure. Currently, most of imputation methods estimated the missing traffic values by using spatial-temporal information as much as possible. However, it ignores an important fact that spatial-temporal information of the traffic missing data is often incomplete and unavailable. Moreover, most of the existing methods are verified by traffic data from freeway, and their applicability to urban road data needs to be further verified. In this paper, a hybrid method for missing traffic data imputation is proposed using FCM optimized by a combination of PSO algorithm and SVR. In this method, FCM is the basic algorithm and the parameters of FCM are optimized. Firstly, the patterns of missing traffic data are analyzed and the representation of missing traffic data is given using matrix-based data structure. Then, traffic data from urban expressway and urban arterial road are used to analyze spatial-temporal correlation of the traffic data for the determination of the proposed method input. Finally, numerical experiment is designed from three perspectives to test the performance of the proposed method. The experimental results demonstrate that the novel method not only has high imputation precision, but also exhibits good robustness.
Measurement noise of a coherence scanning interferometer in an industrial environment

In some applications of CSI, the user’s understanding of the operating principles of the instrument can be low – technicians who are not specialised metrologists will often use the instrument as a “black box”. As with all metrology instruments, CSIs can be sensitive to changes in measurement conditions. With the increase in interest in surfaces controlled to nanometric tolerances, the potential for unknown effects is likely to become an increasingly serious issue for the CSI users.
alpha-KURAMOTO PARTITIONS FROM THE FRUSTRATED KURAMOTO MODEL GENERALISE EQUITABLE PARTITIONS

The Kuramoto model describes the collective dynamics of a system of coupled oscillators. An α-Kuramoto partition is a graph partition induced by the Kuramoto model, when the oscillators include a phase frustration parameter. We prove that every equitable partition is an α-Kuramoto partition, but that the converse does necessarily not hold. We give an exact characterization of α-Kuramoto bipartitions.
Executive Functions in the Context of Complex Learning: Malleable Moderators?.

Executive functions are crucial for complex learning in addition to prior knowledge. In this article, we argue that executive functions can moderate the effectiveness of instructional approaches that vary with respect to the demand on these functions. In addition, we suggest that engagement in complex activity contexts rather than specific cognitive training paradigms may enhance executive functions and yield practically relevant transfer effects to other cognitive abilities. We develop several hypotheses and principles for how to improve executive functions in these contexts. For future research, we suggest to systematically investigate the moderating role of executive functions in learning environments with varying degrees of instructional support and varying context characteristics. We identify potential factors influencing the improvement of executive functions to be considered in a systematic research program.
The AnAlysis of sunflowers yield And w ATer ProducTiviTy in TrAky A region

SEMERCI, A. , Y. KAYA, K. PEKER, I. SAHIN and N. CITAK, 2011. The analysis of sunflowers yield and water productivity in Trakya region. Bulg. J. Agric. Sci., 17: 207-217 Turkey exist among the top ten countries of world sunflower production that approximately 60% of sunflower areas is in Trakya Region which is European part of Turkey. The agricultural enterprises in Trakya Region have experienced due to intensive sunflower production, and this region is the main area of country’s vegetable oil industry. Although the sunflower yield is above the world average in agricultural enterprises in Trakya Region where is selected as a field of research, irrigated sunflower areas is only 2.79% of cultivated areas. Sunflower exists at second rank (42%) after the wheat in the research area. The adoption rates of farmers to new sunflower varieties including herbicide resistant (IMI) and the genetically resistant ones to broomrape are over 90%. While the average sunflower yield as 1.794 ton / ha and water productivity as 345.15 g / m 3 were measured in the research area, as 1.929 ton / ha seed yield and as 369.14 g / m 3 water productivity was determined in genetically resistant varieties. On the other hand, the revenue of sunflower was calculated 834.55 US$ per ha in the research area and a positive relationship between the revenue from sunflower and the water efficiency of the varieties in the study. It is revealed in the research results that among provinces as well as per unit area yields of sunflower varieties and water productivity levels exhibited statistically differences even though they had the similar climate structure and production technologies. It is concluded in the study that sunflower production should be planted in irrigated conditions, use of the cultivars that have strong reactions to irrigation and high oil content will increase farmer income as well as will reduce the Turkey’s current oil deficit.
Fine-grained analysis of aspects, sentiments and types of attitudes in restaurant reviews

This paper presents a novel approach based on the Appraisal Theory to analyze user-generated, open-ended online restaurant reviews. We selected reviews (N=1100) from restaurants of two Portuguese touristic regions and focus, through content analysis, on the recognition of the main aspects, sentiments and types of attitude mentioned in such reviews. We also measure the interrater agreement on the recognition of the types of attitude. The main findings show that Quality of Food, Staff and Communication, Price and Atmosphere are the most frequent aspects mentioned in the reviews. Positive appreciation is the attitude expressed in most of the sentences. Most of the reviews present a positive evaluation of the restaurants. The interrater agreement among raters on the recognition of the types of attitude ranges from 0.82 to 0.92. Results reveal the main aspects that restaurateurs should take into account to make decisions in order to improve the business as a whole.
Elastic–plastic modelling of shaped charge jet penetration

This paper concerns the mathematical modelling of high-rate penetration of a metal target by a shaped charge device that produces a high-velocity jet. A key objective is to predict the penetration velocity, be it subsonic, transonic or supersonic. We do this by considering, on the local scale near the tip of the penetrated cavity, an elastic–plastic free boundary problem that takes into account the residual stresses produced by the moving plasticized region of the target. It is the self-consistency of this elastic–plastic model that dictates predictions for the penetration velocity.
MATERIAL ACCOUNTING HARMONIZATION : AN OVERVIEW OF TRADE LITERATURE

Our paper develops an overview of trade literature within the particular area of material accounting harmonization. The usefulness of this paper consists in offering an up to date image on what was written on this particular topic with significant practical implications. We first divide existent studies on stages that we consider can be grounded based on trade literature’s evolution. Furthermore, a qualitative analysis is done for studies belonging to each period. Limitations of previous studies are also synthesized. The final point of our analysis gives shape to research perspectives that further needs to be exploited.
Fiscal Adjustments in OECD Countries: Composition and Macroeconomic Effects

This paper studies how the composition of fiscal adjustments influences their likelihood of "success," defined as a long-lasting deficit reduction, and their macroeconomic consequences. We find that fiscal adjustments that rely primarily on spending cuts in transfers and the government wage bill have a better chance of success and are expansionary. On the contrary, fiscal adjustments that rely primarily on tax increases and cuts in public investment tend not to last and are contractionary. We discuss alternative explanations for these findings by studying a full sample of members of the Organization for Economic Cooperation and Development and by focusing on three case studies: Denmark, Ireland, and Italy.
The lonely brain: evidence from studying patients with penetrating brain injury

ABSTRACT Loneliness is perceived as social isolation and exclusion. The neural substrate of loneliness has been investigated with functional neuroimaging; however, lesion-based studies and their associated outcomes are needed to infer causal involvement between brain regions and function. Here, we applied voxel-based lesion-symptom mapping (VLSM) analyses to investigate the causal role of brain lesions on self-report of loneliness (UCLA Loneliness Scale) in a unique sample from the Vietnam Head Injury Study, including veterans with penetrating traumatic brain injuries (pTBI) (n = 132) and healthy controls (HCs) (n = 35). Our results revealed that the right anterior insula (AI) and right prefrontal cortex (PFC) are key brain regions underpinning loneliness perception. Individuals with selective lesions to the right AI and right PFC were less likely to report loneliness compared to patients with selective lesions to the posterior cortex and HCs. Therefore, it appears that lesions to key regions involved in processing social pain act to lower the perception of loneliness. Reporting loneliness was associated with executive dysfunction, apathy, disinhibition, and lower life satisfaction. In conclusion, the reported findings broaden our understanding of how loneliness is processed in the social brain, and how behavioral and cognitive factors can influence this perception.
DESIGN CHARACTERIZATION OF SHAPE MEMORY ALLOY HELICAL STENT FOR ENDOHYPERTHERMIA TREATMENT OF RESTENOSIS

This paper proposes a helical type stent made by using Shape Memory Alloy (SMA) material known as Nitinol. The stent is produced by laser cutting technique, having helical shaped zigzag loops in order to behave like an inductor. A capacitor is integrated on inductive stent to build an L-C tank circuit. This L-C resonant stent act as a wireless heater operated under Radio-Frequency (RF) magnetic field applied externally. The stent is fabricated by using 6 mm diameter Nitinol tubes with wall thickness of 0.1 mm having austenite finish (Af) temperature equals to 60°C. The helical stent is heated by applying potential difference across its ends and the results obtained from experiment were compared with the simulation results. It is concluded that the stent require 2.5 V or 1.5 Watts of energy to reach the temperature of 50° C which is an ideal temperature for hyperthermia treatment. The fabricated stent is electromechanically coupled with different types of capacitors in order to characterize its electrical properties and resonance frequency. The inductance of stent is found to be between 350 µH – 400 µH. At the end, mechanical properties of stent are also characterized and compared with commercial stent to ensure its practical validity.
Genetic transformation of forest trees

In this review, the recent progress on genetic transformation of forest trees were discussed. Its described also, different applications of genetic engineering for improving forest trees or understanding the mechanisms governing genes expression in woody plants. Key words : Genetic transformation, transgenic forest trees, gene expression. African Journal of Biotechnology Vol.2(10) 2003: 328-333
The impact of the Dirichlet boundary conditions on the convergence of the discretized system of nonlinear equations for potential problems

The purpose of this paper is the analysis of numerical approaches obtained by describing the Dirichlet boundary conditions on different connected components of the computational domain boundary for potential flow, provided that the domain is a rectangle. The considered problem is a potential flow around an airfoil profile. It is shown that in the case of a rectangular computational domain with two sides perpendicular to the speed direction, the potential function is constant on the connected components of these sides. This allows to state the Dirichlet conditions on the considered parts of the boundary instead of the potential jump on the slice connecting the trail edge with the external boundary. Furthermore, the adaptive remeshing method is applied to the solution of the considered problem.
Knowledge of pharmacists on proper use of oral contraceptive pills and missed dose instructions in United Arab Emirates

Purpose: To assess the knowledge of community pharmacists and senior pharmacy students in United Arab Emirates (UAE) about the proper use of oral contraceptive pills (OCPs) and to investigate factors associated with their knowledge. Method: A cross-sectional study was conducted using a validated self-administered questionnaire to community pharmacists and senior pharmacy students in UAE. The survey contained 22 questions divided into 3 parts: a) demographic information, b) OCPs general knowledge, c) OCPs proper use and missed dose instructions. Results: Community pharmacists had significantly higher knowledge scores than senior pharmacy students (26 vs 16.6 %; p = 0.032). Pharmacists with 10 - 20 years of experience had significantly lower knowledge scores than pharmacists with 0.05). Conclusion: Participants had poor knowledge of proper use and missed dose instructions along with several misconceptions of OCPs. This can be enhanced by encouraging pharmacists to enroll in continuous educations activities that provide updated information about OCPs. Additionally, inclusion of an intensive elective course on OCPs in undergraduate pharmacy curricula may be helpful. Keywords: Oral contraceptives, Pharmacists, Pharmacy students, Counselling skills, misconceptions
To Play or Not to Play! Online Fantasy Football Consumption Motives and the Relationship with Attitude and Future Behavioural Intentions

The immense popularity of professional sports and fantasy football in particular, has brought fans to the Internet in search of ways to enjoy their favourite teams’ performances. The study investigates the underlying dimensions that influence online fantasy football motivation and the relationship with attitudes towards its usage and future behavioural intentions. A quantitative research approach was applied using a self-administered questionnaire and data was analysed from 193 respondents. Through factor analysis, a five-factor structure was established with eustress, achievement/reward, aesthetics, enjoyment and ease of use being identified as the primary motivational dimensions towards fantasy football. Positive correlations were reported along all five dimensions. In addition the linear regression analysis showed strong predictive relationship between the underlying motives with attitude. Positive and significant relationship were also found between attitude and future intentions to participate in fantasy football. The findings presented in this study may be explored further in other sports contexts. However, sports marketers may gain invaluable insight towards the development of a comprehensive strategy towards a fantasy sports’ marketing mix. Similarly, sports governing bodies may be empowered to formulate a national regulatory framework along the identified dimensions. DOI: 10.5901/mjss.2013. v4n14p201
Bidirectional single sideband transmission of Millimeter Waves over Fiber for 5G Mobile Networks

This study proposes, experimentally demonstrates, and simulates a network architecture for the transport of millimeter waves (MMW) based on Radio over Fiber (RoF) techniques for the transport of signals in the fronthaul segment of the next 5G generation mobile systems. Such approach exploits the benefits of bidirectional single-sideband modulation in order to generate an optical subcarrier for the downlink transmission and a second subcarrier for the transport of the uplink services, as well as the centralization of optical sources. The proposed architecture is evaluated based on the analyses of the Bit Error Rate (BER) performance and Error Vector Magnitude (EVM) in both downlink and uplink. Likewise, simulation modeling of the approach was conducted in order to evaluate the quality of the MMW signals at different frequencies available in the MMW spectrum. The results show a power penalty lower than 2 dB for a 1x1-12 BER and an EVM below 12% within a power margin of 6 dB, which demonstrates the feasibility of the approach.
Morphological and molecular characterisation of common amphistome species from cattle of South India

Bovine amphistomosis is a highly neglected snail borne trematode disease causing great economic loss to dairy farmers. The aim of the present study was morphological identification of different amphistome species and molecular characterization of the most common amphistomes prevalent in the study area. Among the ten different species of amphistomes identified in the present study four common species namely, F. c o b b o l d i, F. e l o n g a t u s, G. c r u m e n if e r and Paramphistomum spp. were genetically characterized by amplifying second internal transcribed spacer sequence flanking 5.8S and 28S partial ribosomal gene sequences (ITS-2+) which produced amplicons of 494 bp, 503 bp, 514 bp and 494 bp respectively. The nucleotide sequences of four species of amphistomes F. cobboldi, F. elongatus, G. crumenifer and Paramphistomum spp . obtained in the present study is the first report from Kerala (India) which provides the primary sequence data of the rDNA ITS-2+ region of the amphistome flukes. Nucleotide sequence analysis of the four species revealed eight nucleotide differences between the sequences of pouched amphistomes ( F. cobboldi, F. elongatus and G. crumenifer ) and unpouched ( Paramphistome spp.). Nucleotide sequence analysis and in silico restriction map analysis of four amphistomes suggest the possibility of ITS-2+ region as a useful genetic marker for species identification.
Quantitative Properties of Sovereign Default Models: Solution Methods Matter

We study the sovereign default model that has been used to account for the cyclical behavior of interest rates in emerging market economies. This model is often solved using the discrete state space technique with evenly spaced grid points. We show that this method necessitates a large number of grid points to avoid generating spurious interest rate movements. This makes the discrete state technique significantly more inefficient than using Chebyshev polynomials or cubic spline interpolation to approximate the value functions. We show that the inefficiency of the discrete state space technique is more severe for parameterizations that feature a high sensitivity of the bond price to the borrowing level for the borrowing levels that are observed more frequently in the simulations. In addition, we find that the efficiency of the discrete state space technique can be greatly improved by (i) finding the equilibrium as the limit of the equilibrium of the finite-horizon version of the model, instead of iterating separately on the value and bond price functions and (ii) concentrating grid points in asset levels at which the bond price is more sensitive to the borrowing level and in levels that are observed more often in the model simulations. Our analysis questions the robustness of results in the sovereign default literature and is also relevant for the study of other credit markets.
Detection of mitotic nuclei in breast histopathology images using localized ACM and Random Kitchen Sink based classifier

The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmentation of nuclei from breast histopathology images are carried out by Localized Active Contour Model (LACM) utilizing bio-inspired optimization techniques in the detection stage, in order to handle diffused intensities present along object boundaries. Further, the application of a new optimal machine learning algorithm capable of classifying strong non-linear data such as Random Kitchen Sink (RKS), shows improved classification performance. The proposed method has been tested on Mitosis detection in breast cancer histological images (MITOS) dataset provided for MITOS-ATYPIA CONTEST 2014. The proposed framework achieved 95% recall, 98% precision and 96% F-score.
EFFECT OF BRIDGE WIDTH ON HIGHWAY SAFETY

Bridge width, both absolute and relative, has long been considered a major factor affecting safety at bridge sites. Accident rates are significantly higher for bridges with width less than the approach traveled way width. Ideally, the bridge width should be at least the same as the approach roadway width from a safety standpoint. However, the costs associated with bridge structures are very high in comparison to a normal roadway section, especially for long-span structures. In terms of costs, it is economically prohibitive to upgrade all existing bridges to the full approach roadway width. Some trade-off is therefore necessary, particularly for minor roadways with low traffic volume. A critical review of available literature on the safety effects of bridge width was conducted as part of a Transportation Research Board study on geometric design standards for resurfacing, restoration, and rehabilitation projects on non-Interstate highways. The results of the literature review and synthesis are presented in this paper.
Review: The Image

As we all know in today's electronic media age, images are everywhere. But what precisely is an image? Is it an object, a perception or a phenomenon? And how is it formed? There are many theories of the image, but there has been no general theory since Kant's critiques at the turn of the nineteenth century with sufficient authority across the disciplines to answer these questions with a single elegant statement. Indeed, the concept of the image in Western culture continues to remain an unresolved and somewhat enigmatic one, made all the more so by the emergence of digital technology in recent times.