Miracle-dz/UniFAR-FTUs huggingface dataset:
Tweets on a tree: Index-based clustering of tweets

Computer-mediated communication, CMC, is a type of communication that occurs through use of two or more electronic devices. With the advancement of technology, CMC has started to become a more preferred type of communication between humans. Through computer-mediated technologies, news portals, search engines and social media platforms such as Facebook, Twitter, Reddit and many other platforms are created. In social media platforms, a user can post and discuss his/her own opinion and also read and share other users' opinions. This generates a signi cant amount of data which, if ltered and analyzed, can give researchers important insights about public opinion and culture. Twitter is a social networking service founded in 2006 and became widespread throughout the world in a very short time frame. The service has more than 310 million monthly active users and throughout these users more than 500 million tweets are generated daily as of 2016. Due the volume, velocity and variety of Twitter data, it cannot be analyzed by using conventional methods. A clustering or sampling method is necessary to reduce the amount of data for analysis. To cluster documents, in a very broad sense two similarity measures can be used: Lexical similarity and semantic similarity. Lexical similarity looks for syntactic similarity between documents. It is usually computationally light to compute lexical similarity, however for clustering purposes it may not be very accurate as it disregards the semantic value of words. On the other hand, semantic similarity looks for semantic value and relations between words to calculate the similarity and while it is generally more accurate than lexical similarity, it is computationally di cult to calculate semantic similarity. In our work we aim to create computationally light and accurate clustering of short documents which have the characteristics of big data. We propose a hybrid approach of clustering where lexical and semantic similarity is combined together. In our approach, we use string similarity to create clusters and semantic vector representations of words to interactively merge clusters.
Genetic mechanisms of the resistance of Escherichia coli to amino acid antimetabolites. 2. Study of the frequency of induction and properties of glyphosate resistant mutants

The frequency of the induction by nitrosoguanidine of glyphosate resistant mutants was compared for recipient and donor, as well as for lysogenic and non-lysogenic E. coli cells. 11 was found that integration of viral genomes and also larger replicons such as F-factor into host chromosome increased the level of glyphosate resistance by the factor ranging from J.6 to 6. Mutants tolerating 0.2 rnM of the inhibitor were obtained one order of magnitude more frequently than mutants tolerating 1 mM of this inhibitor. One half of the mutants of every group were resistant not only to the analogue of glycine,but also to the analogue of lysine. An attempt to clone an insertion from a gene library of one of the mutants was attempted but failed. Study on the nature of this gene is in progress.
Integrated Management of Migration, Employment, Fiscal Policy and Public Debt

The main idea of the paper states that national migration indicators are closely related with employment opportunities in that country. In addition, the management quality of migration and employment processes is an indicator of the national socio-economic policy competency, while management of these processes is the main purpose of intelligent adjustment of the national fiscal policy and government debt management. The author of the paper selected the formation of the system of quantitative indicators as the main objective of the paper. The system should allow employing government debt possibilities for the selection of proper fiscal policy in order to prevent the transformation of unemployment into the key reason of uncontrolled national inflation. This would be done by revealing the possibilities of fiscal policy to impact on the level and structure of unemployment. Recent globalisation processes and integration possibilities bring a lot of uncertainty to predetermined viability of theoretical assumptions as well as the adequacy of the applied quantitative methods. The paper uses the possibilities of stochastic optimisation and stochastically informed expertise pursuing the possibilities of integrated management of employment, migration processes, fiscal policy and government debt provisions.
Evaluation and improvement of model algorithms for predicting belowground carbon allocation in forests

Rapidly rising concentrations of atmospheric carbon dioxide (CO 2) influence forest productivity by stimulating plant growth. It can also modify carbon partitioning patterns, altering the global carbon cycle. Nitrogen and carbon cycles are tightly linked; with changes in nitrogen availability affecting ecosystem carbon allocation by shifting carbon to roots for nitrogen uptake. This paper discusses a modification to the PnET-CN model (Aber et al. 1997) developed to shift plant carbon allocation belowground in response to nitrogen limitation. According to functional equilibrium models of plant carbon allocation, a nitrogen control mechanism alters belowground carbon estimates by increasing carbon allocation to fine roots when nitrogen resources are low. Testing of the modified mechanism with data from three free-air CO 2 enrichment (FACE) forests supported the mechanism by allocating more carbon to fine roots. Application of the model with data from five northeastern forests, under a variety of global climate change scenarios, also supported the modified mechanism with an increase in soil carbon storage.
Modelling household expenditure on health care in Greece

Health expenditure data are known to be afflicted by restricted range, zero values, skewness and kurtosis. Several methods for modelling such data have been suggested in the literature to cope with these problems. This paper compares the performance of several alternative estimators, including two-part models and generalized linear models. The dependent variable is household, not individual, expenditure on health care in Greece, a country where out-of-pocket health expenditure is higher than anywhere else in the European Union, whether as a proportion of GDP, as a share of all health spending, or in per capita terms. To facilitate comparison of model performance, household health expenditure is examined in two different specifications; expenditure on all health care (where zero values are rare) and expenditure on hospital services alone (where zero values are common). Three of the estimators performed almost equally well in terms of mean square error and mean absolute prediction error; a modified two-part model with non-linear least squares in the second part, a constant-variance generalized linear model, and a varianceproportional- to-mean generalized linear model. The findings suggest that no estimator is best under all circumstances, while most alternative estimators produce similar results. The paper concludes by discussing implications for further research.
Multi-point, multi-mission, high-fidelity aerostructural optimization of a long-range aircraft configuration

In this paper we present a new robust approach to produce efficient aircraft using numerical optimization. Our focus is on performing a multi-point optimization that considers the performance at multiple operating points simultaneously. The goal is to avoid severe performance degradation at off-design conditions, which typically occurs with a single-point optimization. Specifically, we aim to design a fuel-efficient long-range aircraft configuration. The robustness is introduced by considering hundreds of missions within the operational flight envelope of similar sized aircraft, based on historical data for the actual flight operations. Due to the large computational cost associated with the high-fidelity multidisciplinary analysis, kriging surrogate models are employed to allow thousands of detailed flight analyses to be performed while limiting the number of high-fidelity evaluations. The methodology is demonstrated in a fuel burn minimization problem of a long-range wide-body aircraft configuration.
Empirical study on inter-country OFDI

This study analyzes the relationship between outward foreign direct investment (OFDI) stocks pertaining to thirty four OECD source and one hundred sixty destination countries (i.e. bilateral stocks) and other various variables such as size, distance, common language etc using augmented gravity model. Our principal findings are as follows: (i). the variables of the gravity model (population size, per capita income and distance) explain nearly 50 per cent of the variation in the outward FDI stock. The coefficients are not only significant but are significantly close to the expected values. (ii). Common language and colonial linkages explain further variations in OFDI stock, over the gravity model (iii). Index of revealed comparative advantage of natural resources for source country bears positive relation with OFDI (iv). Common currency (Euro, in this study) between source and destination country lowers transaction costs and reduces risk in transactions between the source and destination countries to increase OFDI level. Overall, the gravity related variables have very large significance, and even if other variables are included their coefficients are unlikely to change.
Grain Storage Management in India

India’s grain production has steadily increased due to advances in technology, but post-harvest loss is constant at 10%. Losses during storage, accounts for around 6% of the total losses as proper storage facilities are not available. In India, food grains are stored using traditional structures by small farmers. The surplus grains are stored with government agencies like: Food Corporation of India (FCI), Central and State warehousing Corporations. The commonly used storage method is Cover and Plinth (CAP) storage, which is economical but loss of grains is inevitable. Very few scientific storage structures like silos are available with these agencies. The government is taking initiatives now in building silos for long-term safe storage of grains since we do not have enough storage capacity as of now. Drying of harvested grains to safe moisture levels will reduce losses to a greater extend. However, very less literature is available on behaviour of grains after harvest for Indian climatic conditions. Therefore, there is a need for research to develop management guidelines for safe storage and drying to ensure quality management of stored grains.
Using a Lie-Group Adaptive Method for the Identification of a Nonhomogeneous Conductivity Function and Unknown Boundary Data

Only the left-boundary data of temperature and heat flux are used to estimate an unknown parameter function α(x) in Tt(x, t) = ∂ (α(x)Tx)/∂x+h(x, t), as well as to recover the right-boundary data. When α(x) is given the above problem is a well-known inverse heat conduction problem (IHCP). This paper solves a mixed-type inverse problem as a combination of the IHCP and the problem of parameter identification, without needing to assume a function form of α(x) a priori, and without measuring extra data as those used by other methods. We use the one-step Lie-Group Adaptive Method (LGAM) for the semi-discretizations of heat conduction equation, respectively, in time domain and spatial domain to derive algebraic equations, which are used to solve α(x) through a few iterations. To test the stability of the present LGAM we also add a random noise in the initial data. When α(x) is identified, a sideways approach is employed to recover the unknown boundary data. The convergence speed and accuracy are examined by numerical examples.
Pseudocereals and the posibilities of their application in food technology, Amaranth and Quinoa application in food processing

Amaranth (Amaranthus) and quinoa are the two basic pseudocereals, which have already found application not only in food production, but also in other industrial sectors. In food processing, the seeds of both plants can be used in various ways – from milling into flour or turning into porridge, through roasted, expanded or extracted seeds production and further usage or processing of the obtained products. The seeds and products are e.g. transformed into various food concentrates. They can undergo pressing or fat extraction, which is rich in squalene. A relatively highest and widest application of both plants’ seeds can be found in bread, pastry and even confectionery production.
DSGE Models and Central Banks

Abstract Over the past 15 years there has been remarkable progress in the specification and estimation of dynamic stochastic general equilibrium (DSGE) models. Central banks in developed and emerging market economies have become increasingly interested in their usefulness for policy analysis and forecasting. This paper reviews some issues and challenges surrounding the use of these models at central banks. It recognises that they offer coherent frameworks for structuring policy discussions. Nonetheless, they are not ready to accomplish all that is being asked of them. First, they still need to incorporate relevant transmission mechanisms or sectors of the economy; second, issues remain on how to empirically validate them; and finally, challenges remain on how to effectively communicate their features and implications to policy makers and to the public. Overall, at their current stage DSGE models have important limitations. How much of a problem this is will depend on their specific use at central banks.
Pain management: An overview

Pain is an unpleasant sensory and emotional experience caused by actual or potential tissue damage. This damage is nature’s warning that something is not well within the body. This condition causes loss of workforce and also affects the patients family members in socio-economical and psychological terms. There is an increase in knowledge regarding pain management in recent years. These developments in pain management may provide different opportunities to the patient and their families to lead a more comfortable and productive life. Managing pain is not about making it disappear rather it is about keeping it under control. The aim is not to stop pain in its stride, but to avert the damage caused by it. Prolonged pain is demoralising and debilitating and should be controlled as fast as possible and with all possible means. For this reason in addition to pharmacological treatment now a days non pharmacological treatment options are on rise.
The Changes of Polysaccharides in Extracellular Polymeric Substance for Cladophora glomerata under Different Salinity

Cladophora glomera is a genus of widely distributed, global, sessile, large green algae, which is also a euryhaline alga. This study discovered that changes in salinity can induce C. glomera to produce massive amounts of extracellular polymeric substance (EPS) when controlling other environmental conditions. If culturing C. glomera with salinity greater than a 3.0‰ medium for 24 hours, large amounts of EPS will be secreted. And the level of polysaccharides, the primary component of EPS, is slightly decreased in accordance with the increase in the salinity. Therefore, the level of polysaccharides in EPS can be controlled using different salinity in EPS production. Keywords— Cladophora glomerat; extracellular polymeric substance (EPS); salinity; polysaccharide
COMPLEMENTARY NETWORKING: ENRICHING UNDERSTANDING

Our analysis of data about one learning situation from two theoretical perspectives yields results that on the surface seem to be in conflict. Through networking of two theories we produce a fresh combined analysis tool, which deepens our understanding of the data in an integrated way. We elaborate this example to make explicit our two theoretical approaches and our networking strategies and methods.
The backward bending Phillips curves: competing micro-foundations

The Phillips curve is a critical part of macroeconomics, yet the theoretical foundations of this important relation remain poorly understood. The current paper excavates the micro-foundations of Phillips curve theory, focusing on the competing theoretical explanations of the Phillips curve that adopt a demand-pull perspective. The paper develops a taxonomy of the different theoretical approaches to the Phillips curve, and then presents a simple model of the backward bending Phillips curve that incorporates elements of wage conflict. The model therefore joins together the logic of both the conflict and demand-pull approaches to the Phillips curve, which in the past have been kept separate.
Design and Analysis of Hybrid Current/Voltage CMOS SRAM Sense Amplifier with Offset Cancellation

In a hybrid current/Voltage Sense amplifier both current and Voltage sensing techniques are used which makes it a better choice than a conventional current or voltage sense amplifiers. The hybrid current/Voltage Sense amplifier works in three phases (1) Offset cancellation (2) Access phase (3) Evaluation phase. The offset cancellation is done simultaneously with word line decoding, so as to speed up the process. The hybrid sense amplifier works in three phases-Offset cancellation (200ps), Access phase (300ps) and Evaluation phase. The sense amplifier is analyzed with a column of 512 SRAM cells at 180nm technology node and compared to CMOS conventional Voltage sense amplifier. The sensing range of the hybrid sense amplifier is improved from 1.18mV to 92mV, with a very less consumption of energy, about 6.84fj. This sense amplifier is analyzed with a column of 512 SRAM cells at 180nm technology node and compared to CMOS conventional voltage sense amplifier Further this architecture is implemented and compared to CMOS conventional Voltage Sense Amplifier at 130nm and 90nm technology nodes. Index Terms: Static random access memories (SRAM), Pre sense amplifier (PSA), Voltage Sense Amplifier (VSA), Current Sense Amplifier (CSA), Precharge, Offset cancellation.
Large Vector Auto Regressions

One popular approach for nonstructural economic and financial forecasting is to include a large number of economic and financial variables, which has been shown to lead to significant improvements for forecasting, for example, by the dynamic factor models. A challenging issue is to determine which variables and (their) lags are relevant, especially when there is a mixture of serial correlation (temporal dynamics), high dimensional (spatial) dependence structure and moderate sample size (relative to dimensionality and lags). To this end, an integrated solution that addresses these three challenges simultaneously is appealing. We study the large vector auto regressions here with three types of estimates. We treat each variable's own lags different from other variables' lags, distinguish various lags over time, and is able to select the variables and lags simultaneously. We first show the consequences of using Lasso type estimate directly for time series without considering the temporal dependence. In contrast, our proposed method can still produce an estimate as efficient as an oracle under such scenarios. The tuning parameters are chosen via a data driven "rolling scheme" method to optimize the forecasting performance. A macroeconomic and financial forecasting problem is considered to illustrate its superiority over existing estimators.
GENE EXPRESSION PROFILE OF CATSPER3 AND CATSPER4 DURING POSTNATAL DEVELOPMENT OF MOUSE TESTIS

Channel activities, particularly those of calcium channels, have vital roles in the process of sperm maturation, motility and sperm-egg interaction. A group of the recently discovered ion channels associated with these processes is four novel channel-like proteins known as CatSper (cation channel sperm) gene family. CatSper1 and CatSper2 show sperm specific expression patterns. However, neither CatSper1 nor CatSper2 have been shown to function as cation channels when transfected into cells, singly or together. It has been suggested that the known CatSper proteins require additional subunits and/or interaction partners to function. Using in silico gene identification and prediction techniques, two further members of the CatSper family, CatSper3 and CatSper4, have been identified. It has been hypothesized that the CatSper proteins may form a functional tetrameric channel. Based on these findings, we evaluated the temporal pattern of CatSper3 and CatSper4 genes during mouse testis development to assess any potential co-incidence of their expression with CatSper1 and CatSper2. In the present study, a total of 55 male BALB/c mice were categorized into 11 age groups: 1 day, 1 week, 2 weeks, 16, 18, 20, 22, 24 and 26 days, 1 month as well as adult mice. Testes were removed from each mouse, total RNA was extracted and RT-PCR was performed with specific primers for CatSper3, CatSper4 and beta-2-microglobin (as an internal control). Our results revealed that CatSper3 and CatSper4 genes are expressed predominantly at 3 week of age. The obtained data demonstrate that: 1) The expression of CatSper3 and CatSper4 in mouse is developmentally regulated. 2) There is a direct correlation between the temporary expressions of these genes and the other two members of the family, CatSper1 and CatSper2. Iran. Biomed. J. 10 (2): 111-115, 2006
Towards Improved Performance in Marketing: The Use of Property-based websites by Estate Surveyors and Valuers in Lagos, Nigeria

The increase in globalisation has changed marketing strategies available to professionals within the built environment. This study investigated the marketing methods most used in Lagos’ metropolis. It assessed the extent to which estate surveyors and valuers in Nigeria have adopted property-based websites for the marketing of their real estate services. A random sampling method was used to obtain data from 82 estate surveyors and valuers within Lagos’ metropolis. The data were analysed with SPSS V24 (statistical software), using Friedman’s Test and One-Way Analysis of Variance (ANOVA). The study concluded that conventional/traditional methods of marketing dominate the marketing activities of estate surveyors and valuers, weakening agency practice in Nigeria in relation to the current global context.
An investigation on relationship between employees' job satisfaction and organizational commitment

Article history: Received July 28, 2013 Received in revised format 20 November 2013 Accepted 14 January 2014 Available online February 22 2014 Job satisfaction is normally referred to cognitive, affective and evaluative reactions or attitude and state, which is a pleasurable or positive emotional state resulting from the appraisal of one’s job or experience. Organizational commitment has been defined as the extent where an individual accepts, internalizes, and views his/her role based on organizational values and objectives. The purpose of present research is to investigate the relationship between employees’ job satisfaction and organizational commitment of Red Crescent Society’s Textile Industries of Islamic Republic of Iran. (N=180 and n=106). Minnesota Satisfaction Questionnaire (MSQ) and Allen and Meyer’s Organizational Commitment Questionnaires are used for collecting data. There were significant relationships between employees’ job satisfaction, organizational commitment, and their dimensions as descripted in results and conclusion. © 2014 Growing Science Ltd. All rights reserved.