Miracle-dz/UniFAR-FTUs huggingface dataset:
Shape Preserving C2 Rational Cubic Spline Interpolation

In this study a piecewise rational function with cubic numerator and linear denominator involving two shape parameters has been developed to address the problem of constructing positivity preserving curve through positive data, monotonicity preserving curve through monotone data and convexity preserving curve through convex data within one mathematical model. A simple data dependent condition for a single shape parameter has been derived to preserve the positivity, monotonicity and convexity of respectively positive, monotone and convex data. The remaining shape parameter is left free for the user to modify the shape of positive, monotone and convex curves when needs arise. We extended the result of [1] to a piecewise rational cubic function.
Research on Personalized Recommendation Algorithm for Internet User to Browse News

At present, the mode analysis methods for Internet User to browse news have three main kinds: that is, association analysis, clustering analysis and the mode of sequence analysis. This paper mainly focuses on the personalized news recommendation for Internet user. We combine the membership functions based on sample statistics distribution with the classical algorithms based on association rule. It can generalize its usefulness range. The structure of personalized news recommendation system is also given in this paper.
Real farmer share, perceived farmer share and fair distribution in food chains from a consumers' perspective

Discussions about fair revenue distribution in food supply chains gained importance in 2008 as self-employed milk producers entered a strike against dairies (EU milk strike). Based on this strike, a broad discussion in the media emerged and society as well as politics got involved in a debate over fair prices for farmers in general. During milk strike, citizens in Germany mainly sympathized with the famers, while the food retailers were seen as the main cause of the problem. However, it remained unanswered what fairness and a fair revenue distribution in food production means. Hence, the present study aims to analyze citizen perceptions of a fair farmer share and to find factors contributing to this evaluation. Therefore, an online survey was conducted in November 2012. Respondents were asked to estimate the distribution of the food dollar among different supply chain partners and to indicate how a fair distribution should look like. Farmers are mainly perceived to be treated unfairly in supply chains and should get more compensation from a consumer’s point of view. Food retailing should mainly loose shares in this context. A contribution to the perceived unfair compensation of farmers makes distributive fairness, interactional fairness and process control.
Spin-transfer effect and its use in spintronic components

Spin-electronics is a very rapidly expanding area of R&D which merges magnetism and electronics (Nobel Prize 2007). Since the discovery of giant magnetoresistance in 1988, several breakthroughs have further boosted this field (spin-valves 1990, tunnel magnetoresistance 1995, spin transfer 1996, voltage controlled magnetic properties 2004). The phenomenon of spin-transfer is particularly attractive both from fundamental and applied view points. It provides a new way to manipulate the magnetisation of magnetic nanostructures by a spin-polarised current. Spinelectronics has found applications in hard disk drives (1998) and more recently in non-volatile standalone memories (MRAM = Magnetic Random Access Memory). The spin-transfer phenomenon provides a new write scheme in MRAM yielding a much better scalability of these devices towards the 22 nm node. Furthermore, besides MRAMs, hybrid CMOS/magnetic technology can yield a totally new approach in the way electronic devices are designed. Most CMOS devices such as microprocessors are based on Von Neumann architecture in which logic and memories are separate components. The unique set of characteristics combined within magnetic tunnel junctions: cyclability, switching speed, scalability, makes it possible to conceive novel electronic systems in which logic and memory are intimately combined in non-volatile logic components (concept of non-volatile CPU). The spin-transfer phenomenon can also be used to generate large amplitude steady magnetic excitations in magnetic nanostructures. This phenomenon can also be used to conceive new frequency tunable radiofrequency oscillators. The latter are very attractive for wireless applications which require scanning large frequency bandwidth.
High Dimensional Clustering: A Strongly Connected Component Clustering Solution (SCCC)

High dimensional data is often challenging to cluster due to the curse of dimensionality leading to challenges in identifying clusters. The key challenge in high dimensional clustering is to develop a solution that identifies clusters which are as complete as they can be, while not merging well-separated clusters. We propose core points which represent local compact regions. The strongly connected component from the k-nearest neighbor graph of core points provides for a group of points that are strongly mutually connected. These mutually connected regions represent the core structure of the clusters. Our empirical analysis and experimental results present the rationale behind our solution and validate the goodness of the clusters against the state of the art high dimensional clustering algorithms. The novelty of our solution is to use the concept of reverse nearest neighbors to generate natural clusters in high dimensions.
ESL students’ writing self-efficacy boosted by integrating different self-regulated strategies-Role of Self-Regulated Strategy Development (SRSD) instruction

Self‐efficacy refers to person’s believe of his/her abilities to gain a specific task performance. Students who have low self-efficacy for learning usually prevent taking a task; on the other hand, those who judge themselves confidence are expected to highly take a part. Hence, this survey tried to teach and evaluate the effect of self-regulated strategy development (SRSD) instruction on intermediate ESL students writing self-efficacy. Sixty five ESL students participated in this survey which was divided in two control and experimental groups. The experimental group received SRSD instruction while the control group was taught traditionally. The pre and post-test self-efficacy scale and self-regulatory scale of two groups were submitted to Independent sample t-test. The result revealed that self-regulated strategy development (SRSD) instruction significantly improved the ESL students’ writing self-efficacy and there was a significant correlation between the ESL students’ writing self-efficacy and their self-regulatory knowledge.
Review on the therapeutic potential of Vitex negundo Linn.

Medicinal plants have been widely used to treat a variety of infectious and non-infectious ailments. According to one estimate, 25% of the commonly used medicines contain compounds isolated from plants. Vitex negundo Linn. (VN), belonging to family Verbenaceae, is a small aromatic plant that flourishes abundantly in wastelands and is widely distributed in tropical to temperate regions, being a native of South Asia, China, Indonesia, and the Philippines. It contains many polyphenolic compounds, terpenoids, glycosidic iridoids and alkaloids. In the ayurvedic system of medicine it is used as a drug of choice to manage pain, inflammation and other related diseases. The review highlights the various potential therapeutic feature of Vitex negundo which can be used in the drug designing process to find solution for the unsolved infectious and non-infectious deformities without side effects.
Capture of Carbon Dioxide by Cucurbit [ 7 ] uril Complex

A supramolecular approach to CO2 capture by cucurbit[7]uril (CB[7]) complex was developed. NH2(CH2)6NH2CB[7] complex can convert CO2 to bicarbonate product exclusively and faster in solution due to the deshielding effect, thereby providing a green absorbent to CO2 with regard to high stability, non-corrosiveness and convenient transportation. Keywords-carbon dioxide; cucurbituril; capture; supramolecular catalysis
Grasset de Saint Sauveur and the Indians of Baja California

Author(s): Elsasser, Albert B | Abstract: On the cover of the (1976) Summer issue of the Journal of California Anthropology is reproduced an original aquarelle engraving of a "California Native. " The image was taken from a publication of 1788 ambitiously titled "Civil Costumes of Living People Throughout the World. " The French author of this work, Jacques Grasset de Saint Sauveur, is of more than passing interest because he was one of the few Europeans of the time who gave any specific favorable attention in print to the Indians of Baja California.
MAST SEEDING OF BAMBOO SHRUBS AND MOUSE OUTBREAKS IN SOUTHERN CHILE

Mast seeding is a massive reproductive output and subsequent death of long- lived plants. This multiannual phenomenon, affecting the bamboo shrub Chusquea valdiviensis started in the spring 1990 and covered 1,200,000 hectares in Southern Chile. Due to seed surplus and ideal nesting sites, mast seeding of bamboo has been associated historically with mouse outbreaks followed by invasion of homes and subsequent calamities of different sort. Here, we report the most recent explosive population growth of the granivorous rice rat, Oligoryzomys longicaudatus following a mast seeding episode. The food resource hypothesis predicting an increase in body weight of outbreak mouse is partially supported by the data. The explosive population growth experienced by the natural hantavirus reservoir and inva- sion of human settlements drastically increased the chances for rodent-to-rodent infection, and probably its bearing on the subsequent emergence of the hantaviral disease in humans. RESUMEN. Fructificacion masiva del bambu y ratadas en el sur de Chile. La semillacion masiva corresponde al potencial reproductivo y muerte ulterior de plantas de larga vida. Este fenomeno multianual que afecto a la bambusacea Chusquea valdiviensis, comenzo en la primavera de 1990 y cubrio 1.200. 000 hectareas del sur de Chile. Debido a la sobreproduc- cion de semillas y sitios de anidamiento, la semillacion masiva se ha asociado historicamen- te con "ratadas", seguidas de invasion a las viviendas y calamidades posteriores de distinto tipo. Aqui reportamos el crecimiento poblacional explosivo mas reciente que afecto a Oligoryzomys longicaudatus luego de un evento de semillacion masiva. La hipotesis de recursos alimentarios que predice un aumento del peso corporal es parcialmente apoyada por los datos. Este crecimiento poblacional explosivo experimentado por el reservorio natural del hantavirus y su invasion a los asentamientos humanos aumento drasticamente la posi- bilidad de infeccion entre roedores, y probablemente, la incidencia en la emergencia poste- rior de la enfermedad hantaviral en humanos.
Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis

In this modern age where providing and consuming services through online exchange has become a daily chore, everyone loves to participate and give opinions about the services he or she consumes. Nowadays this participation is taking place much more on social sites rather than in a complain box. Facebook is one of the most commonly used social media sites where people voice their opinions on just about everything. So many service providers take the platform to promote their services among the customers. Tele-communication sector is one of them. It is quite apparent that many Tele-communication company maintains a Facebook page or group to promote their services to the customers and get feedback from them. A large number of data is being produced in this way daily. Telephone companies collect data of customers and often provide special offers to all or particular customers. Customers give their view about those offers on social networking sites. With the help of their opinions the offers become more realistic, attractive and in the meantime profitable. But the amount of data being produced daily is massive and growing. So it is fairly hard or improbable to go through all the data and come to a decision. It needs a special kind of procedure which has to be dynamic and efficient based on time and expense. In this thesis, We will extract all the opinions (comments as text data) from the respective Facebook pages using the Facebook graph API provided by Facebook application and go through noise cleaning, applying algorithm and classifier to calculate the sentiment polarity to come to a decision whether the offers provided by the company are getting good feedback or being criticized. We will use Naïve Bayes classifier for our sentiment analysis.
Cluster observations of bow shock energetic ion transport through the magnetosheath into the cusp

[1] The observation of energetic particles by polar orbiting satellites in the magnetospheric cusp resulted in a controversy about their source region. It has been suggested that these cusp energetic particles (CEP) with significant fluxes from magnetosheath energies up to several hundred keV/e are accelerated locally in the cusp by the turbulence found in cusp diamagnetic cavities (CDC). As an alternative to the local acceleration region, the quasi-parallel shock is successful as a source region for CEP events. Energetic ions accelerated at the bow shock can be transported downstream and enter the cusp along newly reconnected field lines. Composition and energy spectra of these CEP events resemble those of bow shock energetic diffuse ions. This study investigates a northern cusp pass by the Cluster satellites that encountered two CDCs with CEP ions. We use recently developed techniques to determine the location of the reconnection site at the magnetopause, draping interplanetary magnetic field lines over the magnetopause and mapping those field lines back into the solar wind to show magnetic connection of the cusp regions, Earth's bow shock, and upstream region. Energetic ions are also observed outside the magnetopause in the boundary layer streaming from the quasi-parallel shock toward the cusp which supports an outside source region for CEP ions.
MULTIPLE-HYBRID CASE-BASED REASONING APPROACH FOR UNIVERSITY COURSE TIMETABLING PROBLEM

The University Time Tabling problem (UCTP) is an allocation process to schedule courses with available time slots for suitable lecture halls, classes or rooms in every semester. The academic time tables design has become a very complex issue and difficult task as such it is classified as NP-hard problem. The objectives of this paper is to achieve higher accuracy for time tabling plotting as well as improve the effectiveness while generating academic courses time tables. With the aim to improve timetabling solution, we investigate into a new algorithm which is based on Case-based Reasoning (CBR) retrieval function. The idea proposed is known as Human Preference Adaptable Retrieval Approach – HPARA and is separated in three parts, with the combination of different functionality: Prioritized Attributes, Frequency Grouping, and Value Difference Measurement. The CBR retrieval is a strategy to retrieve similar cases from previous time tabling for generating new time tables. Retrieved cases will then filtered with the according functionality: Prioritized Attributes, Frequency Grouping, and Value Difference Measurement too seek for the most suitable components. The proposed CBR algorithm is tested with the database of Faculty of Computer Science and Information Technology for the past five years compared with Genetic Algorithm (GA). Experimental results show promising improvement for both accuracy and effectiveness with the proposed CBR algorithm to generate UCTP.
Photometric magnetic-activity metrics tested with the Sun: application to Kepler M dwarfs

The Kepler mission has been providing high-quality photometric data leading to many breakthroughs in the exoplanet search and in stellar physics. Stellar magnetic activity results from the interaction between rotation, convection, and magnetic field. Constraining these processes is important if we want to better understand stellar magnetic activity. Using the Sun, we want to test a magnetic activity index based on the analysis of the photometric response and then apply it to a sample of M dwarfs observed by Kepler . We estimate a global stellar magnetic activity index by measuring the standard deviation of the whole time series, S ph . Because stellar variability can be related to convection, pulsations or magnetism, we need to ensure that this index mostly takes into account magnetic effects. We define another stellar magnetic activity index as the average of the standard deviation of shorter subseries which lengths are determined by the rotation period of the star. This way we can ensure that the measured photometric variability is related to starspots crossing the visible stellar disc. This new index combined with a time-frequency analysis based on the Morlet wavelets allows us to determine the existence of magnetic activity cycles. We measure magnetic indexes for the Sun and for 34 M dwarfs observed by Kepler . As expected, we obtain that the sample of M dwarfs studied in this work is much more active than the Sun. Moreover, we find a small correlation between the rotation period and the magnetic index. Finally, by combining a time-frequency analysis with phase diagrams, we discover the presence of long-lived features suggesting the existence of active longitudes on the surface of these stars.
TO TEACH MOTHER-TONGUE ( L 1 ) ? – TEACHERS ’ PERCEPTIONS AND REPRESENTATIONS OF DIFFICULT TOPICS IN MOTHER-TONGUE EDUCATION

The key elements in Shulman’s conception of pedagogical content knowledge are knowledge of representations of subject matter and understanding of students’ learning difficulties. The present study deals with teachers’ perceptions of areas of student difficulty related to their representations of difficult subject matter. The focus is the role of analogies in the representation repertoire of six experienced language teachers who were interviewed about aspects of subject-specific practical knowledge or pedagogical content knowledge: difficult topics in mother-tongue education, related learning problems, representations, use of analogies, need for appropriate analogies, and an instructional model. The main question addressed in this study is whether language teachers use forms of representation that are different from those used by science teachers, including analogies, because of the nature of their school subject. The results indicate that reading comprehension and writing proficiency are considered difficult topics, and there are various representations without analogies. In the teachers’ view, there is no need for analogies and an instructional model. It appears possible that language teaching does not lend itself to the use of instructional analogies.
Buffered vs. Non-Buffered Aliphatic Fatty Acids and their Anti-Proliferative Effects in Human Tumor Cell Lines

Background: Tumor cells generate a micro-acidic environment due to increased fermentative metabolism and poor perfusion. It is believed that this action is responsible for creating a lower pH environment which promotes invasive tumor growth in primary and metastatic cancers, through a form of acid-induced micro-environmental remodeling. Dietary fats, both saturated and unsaturated, have profound impacts on the viability and growth of neoplastic cells. This study examines the impact that saturated and unsaturated fatty acids, both alkalized and nonalkalized, have on the viability and growth of various neoplastic cell lines. Methods: In this study, the potential anti-viability and antiproliferative effects of both saturated, and an unsaturated, fatty acids, when introduced as buffered (NaHCO3), and non buffered formulations, were investigated in a comparative fashion in a panel of tumor cell lines. Results: We show that both buffered and non-buffered fatty acids, exerted inhibition of their proliferative activity and had a negative impact on cell viability in a concentration-dependent manner. Buffered fatty acids had a greater negative impact on all tumor cell lines. Conclusions: Findings indicate that the environment, as well as the type of fatty acid to which the neoplastic cell line was exposed, were both important predictors of antiproliferative effects.
Customization of wavelet function for pupil fluctuation analysis to evaluate levels of sleepiness

This paper proposes a method to customize a wavelet function for the analysis of pupil diameter fluctuation in the detection of drowsiness states under a driving simulation. The methodology relies on a genetic algorithm-based optimization and lifting schemes, which are a flexible and fast implementation of the discrete wavelet transform. To customize the wavelet function a clustering separability metric is employed as a fitness function so that the feature space created by the wavelet analysis exhibits the maximum class separability favorable for classification. Therefore, a completely new wavelet function is created, having unique characteristics customized to pupil diameter fluctuation analysis. It is demonstrated that the customized wavelet function own distinguished frequency and temporal responses suitable specifically for pupil diameter fluctuation analysis (namely, application-dependent), and in the classification they outperform classical wavelet families including Daubechies, Coiflet and Symlet, which are assumed to be application-independent. Thus the proposed method is useful for analysis of pupil fluctuation in evaluating sleepiness levels, as has been demonstrated in other applications.
Application of biotic indices and body size descriptors of phyto and zooplankton communities in Varna lagoon for ecological status assessment

The present paper is aimed at: 1 - application of biotic indices to assess the ecological state of Varna lagoon by investigating the response of biota to the gradient of environmental pollution 2 - test applicability of individual body size class distribution of plankton communities as innovative quality element descriptor analyzed against routine plankton quality attributes. Quantitative assessments, seasonal variations and distribution of the plankton community have been analyzed.
THE ESTIMATION OF TIME-VARYING THERMAL CONTACT CONDUCTANCE BETWEEN TWO FIXED CONTACTING SURFACES

This work examines the heat transfer between two fixed contacting specimens in order to estimate the time-varying thermal contact conductance. An inverse heat conduction method is presented. A well-known technique called extrapolation method is also utilized to obtain the results by using data taken from an experiment. The results achieved by the inverse and linear extrapolation methods are in good agreement. In addition, a steady-state analysis has been performed by using the commercial software based on the finite element method and an error analysis shows that the extrapolation method is superior in this analysis. DOI: http://dx.doi. org/10.5755/j01.mech. 19.2. 4150