Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EUROPEAN UNION: THE BUILDING OF A NATION

The European Union is an organization in a constant evolution with periods of stagnation. It has recently achieved high levels of integration that logically will be followed with a greater political integration. The Union will need a higher identification of the citizens in terms of participation in the democratic process and in terms of loyalty to the still to build the political structure. This research focuses on the actions undertaken in order to create a new level of identity, a European nation, by the actors involved in the European building process. It identifies the actions in two different kinds, the direct actions focus on this achievement and the indirect actions increasing the feeling of cultural communality in Europe. The direct actions follow the pattern already created by the European states creating their own nations, as establishing common symbols, convergence in the educational field, a common currency or a free movement area. The indirect actions normally do not have the involvement of the EU institutions, but also influence the process, as a sport, especially a football, Eurovision or the Council of Europe. The research proves an active policy integrating the Europeans but also points out problems and solutions for the success fulfillment of the process.
Profitability of Quantitative vs. Momentum Size and Style Rotation Strategies in the UK Equity Market

This paper examines whether short-term variation in the spreads of the UK size and value/growth style indices is better predictable and exploitable by means of quantitative or momentum style rotation strategy. Applying different long-only and long-short strategies, we find that the value/growth rotation is not profitable regardless of the method used for choosing a style. Alternatively, both quantitative and momentum based small/large rotation is profitable at easily feasible levels of transaction costs for both ETFs and institutional traders, with quantitative rotation having an edge over the momentum one, in terms of generated end of period wealth and Sharpe ratios. JEL classification: G11
STATISTICAL MODELS FOR PREDICTING TORNADO RATES: CASE STUDIES FROM OKLAHOMA AND THE MID SOUTH USA

The destructive impact tornadoes have on communities has sparked interest in predicting the risk of impacts on seasonal time scales. Here, the authors demonstrate how to build statistical models for predicting tornado rates. They test the models with tornado counts accumulated over a 45-year period aggregated to counties in the State of Oklahoma and to cells in a latitude/longitude grid across a large portion of south central United States. The spatial model provides a fit to the counts, which includes terms for the spatial correlation and the population effect. A space-time model not only provides a similar fit to annual counts but also includes a term for a time-varying climate factor. This work contributes to methods for forecasting severe convective storms on the seasonal time scale.
Analysis of Energy and Spectral Efficiency in Urban Shadowing Environment

In this paper, a composite Rayleigh-Gamma distribution is proposed for the urban wireless channel environment which represents small-scale fading with no Line of Sight (LoS) and shadowing. Moment Generation Function (MGF) and truncated MGF for the proposed model are derived. The spectral efficiency (SE) and the energy efficiency (EE) for a digital communication system are defined and introduced as efficiency metrics. The SE and EE are derived and evaluated in shadowing urban environment using MGF approach. Both efficiency metrics are also simulated for a particular M QAM modulation technique. The obtained results show that the efficiency metrics are adversely affected by the urban channel environment. Thus, an energy efficient transmission technique which is based on employing a modulation level of M -QAM to provide a maximum EE in a specific region of the signal to noise ratio (SNR). With the aid of truncated MGF, the performance of adaptive M -QAM system is evaluated in terms of efficiency metrics, outage probability and average bit error probability. The proposed adaptive technique shows high potential for achieving significant improvement in SE and EE while maintaining acceptable bit error probability even under severe channel effects.
Two-stage ML Classifier for Identifying Host Protein Targets of the Dengue Protease

Flaviviruses such as dengue encode a protease that is essential for viral replication. The protease functions by cleaving well-conserved positions in the viral polyprotein. In addition to the viral polyprotein, the dengue protease cleaves at least one host protein involved in immune response. This raises the question, what other host proteins are targeted and cleaved? Here we present a new computational method for identifying putative host protein targets of the dengue virus protease. Our method relies on biochemical and secondary structure features at the known cleavage sites in the viral polyprotein in a two-stage classification process to identify putative cleavage targets. The accuracy of our predictions scaled inversely with evolutionary distance when we applied it to the known cleavage sites of several other flaviviruses-a good indication of the validity of our predictions. Ultimately, our classifier identified 257 human protein sites possessing both a similar target motif and accessible local structure. These proteins are promising candidates for further investigation. As the number of viral sequences expands, our method could be adopted to predict host targets of other flaviviruses.
A Conceptual Framework of the Impact of Entrepreneurial Competencies on Small and Medium Enterprises Business Performance in the Malaysian Hospitality and Tourism Industry

This paper is set out to achieve two objectives. First is to identify the impact of entrepreneurial competencies on the business performance or success of small and medium enterprises (SMEs) in the Malaysian hospitality and tourism industry (HTI). The second objective is to develop a framework for the SMEs entrepreneurial competencies and business performance indicators in the HTI. This is important because the bulk of the existing and new entrants into the HTI are mainly from the SMEs. To do so, this paper has adopted content analysis to analyse the existing studies on entrepreneurial competencies, business performance, and SMEs in HTI. Findings indicate that very few of these SMEs are successful while a large percentage are operating at survival stage and others are on the verge of collapsing due to lack of entrepreneurial competencies which impact negatively on their business performances. Findings also show that the SMEs' performance would depend greatly on internal and external factors, including financial and non-financial measures. The theoretical contribution and managerial implications are also suggested.
PGPM_A_210770 155..166

Apichaya Puangpetch Pornpen Srisawasdi Weerapon Unaharassamee Napa Jiratjintana Somlak Vanavanan Suweejuk Punprasit Chalitpon Na Nakorn Chonlaphat Sukasem Martin H Kroll 1Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; 2Division of Clinical Chemistry, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; 3Department of Psychiatry, Somdet Chaopraya Institute of Psychiatry, Bangkok, Thailand; 4Quest Diagnostics, Secaucus, NJ 07094, USA Objective: To determine whether genetic polymorphisms related to pharmacodynamics with metabolic adverse effects, namely leptin promoter (LEP) rs7799039, leptin receptor rs1137101, dopamine D2 rs4436578, serotonin 5-HT2A rs6313, and serotonin 5-HT2C rs518147 and rs12836771, are associated with hyperglycemia induced by risperidone or clozapine in adult Thai patients with psychosis. Methods: A total of 180 patients treated with risperidone-based (n=130) or clozapine-based (n=50) regimens were included in this study. Blood samples were analyzed for genotyping of the candidate genes and biochemical testing. Genotyping was performed by conducting a TaqMan real-time polymerase chain reaction-based analysis. Results: The prevalence of hyperglycemia was higher in patients receiving clozapine (64.0%) than in those receiving risperidone (30.8%). Among the candidate genes, only the LEP rs7799039 polymorphism demonstrated a significant association with hyperglycemia (χ=9.879, P=0.008) in patients treated with risperidone; patients with the AA genotype had the highest risk (41.1%), followed by those with AG (20.8%) and GG (0%) genotypes. Using the recessive genetic model (AA vs AG + GG), the odds ratio and 95% CI were 3.28 and 1.44 −7.50, respectively. None of the genes were associated with hyperglycemia in patients treated with clozapine. A binary logistic regression revealed that the LEP rs7799039 polymorphism demonstrated a significant association with hyperglycemia, independent of bodymass index (BMI) in patients receiving risperidone; the odds ratio (95% CI) was 3.188 (1.399–7.262), P=0.006. By contrast, none of the pharmacodynamic genetic factors, except for BMI, were significantly associated with hyperglycemia in patients receiving clozapine. Conclusion: The risk of type 2 diabetes mellitus is associated with the LEP rs7799039 polymorphism in Thai adults receiving risperidone but not in those receiving clozapine. Clarifying underlying mechanisms and risk of hyperglycemia provides an opportunity to prevent impaired glucose metabolism in patients receiving risperidone or clozapine.
Optimization studies on mannanase production by Trichosporonoides oedocephalis in submerged state fermentation

The study evaluated various agricultural wastes and process parameters for mannanase production by Trichosporonoides oedocephalis in submerged state fermentation. Different agricultural wastes were screened as substitutes to commercial substrate for mannanase production using substitution method. Process parameters affecting enzyme production were optimized using one-factor-at-a-time approach. Mannanase production was conducted in mineral salt medium and enzyme activity determined by dinitrosalicylic acid method. Among tested carbon sources, cassava peels proved to be the best for mannanase production (11.767 U/ml), while the lowest (0.100 U/ml) was observed with pineapple peels. Maximum mannanase activity and productivity (37.963 U/ml, 4.745 U/ml/hr) were observed after 96 hrs of incubation. Initial pH of the culture medium was also optimized and it was observed that enzyme activity increased as the pH of fermentation medium increased. The best nitrogen sources and inoculum concentrations (spores/ml) were ammonium nitrate and 1×10 6 , respectively. The optimal culture conditions obtained from this study helped to standardize the requirements for optimum production of mannanase using agrowastes, thereby contributing to better fish feed formulation incorporating plant ingredients, especially in the larval stages of fish fingerlings when the enzyme system is not efficient.
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings

Bias is ubiquitous in most online sources of natural language, from news media to social networks. Given the steady shift in news consumption behavior from traditional outlets to online sources, the automatic detection of propaganda, in which information is shaped to purposefully foster a predetermined agenda, is an increasingly crucial task. To this goal, we explore the task of sentence-level propaganda detection, and experiment with both handcrafted features and learned dense semantic representations. We also experiment with random undersampling of the majority class (non-propaganda) to curb the influence of class distribution on the system’s performance, leading to marked improvements on the minority class (propaganda). Our best performing system uses pre-trained ELMo word embeddings, followed by a bidirectional LSTM and an attention layer. We have submitted a 5-model ensemble of our best performing system to the NLP4IF shared task on sentence-level propaganda detection (team LIACC), achieving rank 10 among 25 participants, with 59.5 F1-score.
Running head: SOCIAL INFLUENCE TACTICS 1 Running head: SOCIAL INFLUENCE TACTICS Social Influence Tactics and Influence Outcomes: The Role of Leader-Member Exchange and Culture

Building upon theories linking social influence with LMX and cross-cultural management, and deriving hypotheses from leadership and influence literatures, we examined in a 6 x 2 x 2 betweenparticipants full-factorial design the effect of three factors on the relative effectiveness of the use of social power: social influence tactics (six conditions: ingratiation, exchange of benefits, rationality, assertiveness, upward appeal, and coalition), LMX (two conditions: low-LMX and high-LMX), and culture (two countries: Canada and Malaysia). The first two factors were manipulated independent variables and the third one was a subject variable. Data were obtained from 609 undergraduate business students from a Western public university in Canada (n = 249) and a public University in Malaysia (n = 360). Results show that LMX does make a difference in the effective use of influence tactics. Influence tactics such as ingratiation, exchange, and rationality are more effective with high-LMX subordinates than with low-LMX subordinates. However, assertiveness, upward appeal, and coalition tactics of influence make no difference for lowand high-LMX subordinates. In addition, country culture acts as a moderator in that leader’s use of influence tactics are more effective with Malaysian subordinates than with Canadian subordinates. However, the tactic of ingratiation is equally effective regardless of country cultures. Aspiring leaders need to be aware that their social influence is associated with various degrees of their relationship with their subordinates and the cultural context and may therefore wish to attempt to manage their use of power accordingly.
Music Recommendation Using Collaborative Filtering

With the increasing popularity of music streaming, music recommender systems are important instruments for increasing digital music consumption. However, collaborative filtering, a technique widely used in recommender systems, is not generally adapted in this domain because the technique does not scale well with large amounts of data. This paper proposes a recommender system using collaborative filtering with an improved runtime by using a more efficient data-representation scheme and considering a partial section of the dataset.
From particle counting to Gaussian tomography

All the $n(2n+3)$ mean and covariance parameters of an $n$-mode Gaussian states are expressed in terms of the expectation values of the same number of conjugates of the total number observable. This permits a complete tomography of the state. The same is applied to outputs of a Gaussian channel corresponding to selected coherent states to perform the complete tomography of the channel. This leads to some interesting problems concerning the distribution of the number operator and also tomographic complexity.
Detection of underground mining induced land subsidence using Differential Interferometric SAR (D-InSAR) in Jharia coalfields

Mining induced land subsidence is very common in the areas of extensive underground coal mining which affects the overall geo-environmental scenario of the area. Jharia coalfields in Jharkhand has been experiencing land subsidence for several decades essentially due to underground mining and coal fire. Differential interferometric SAR (D-InSAR) technique has been used widely to identify and measure land subsidence. In this study, six ALOS PALSAR data pairs acquired during 2007-2008 were used to study land subsidence phenomenon in the Jharia coalfields. Two-pass D-InSAR was used in this study which uses two SAR images of the same area taken at different times to calculate the Line-of-Sight (LOS) path difference of a target point due to land displacement with the help of an external Digital Elevation Model (DEM). Well defined subsidence fringes were obtained in most of the differential interferogram pairs. The fringe areas were integrated to obtain the total subsidence affected areas during the observation period with rates of subsidence (in cm/year). The maximum subsidence rate calculated from D-InSAR processing is found to be 56.72 cm/yr and the minimum is 7.88 cm/yr. The total affected area in the study area is 7.2 sq kms. Field checks were done for confirmation of D-InSAR based subsidence results.
Cultural Differences in Aggression: A Case Study in Bangladesh

The present study was to examine gender and cultural differences in aggressive behaviour in the context of Bangladesh. Sample was selected from two cultural backgrounds such as Bengali culture and Santal culture in different areas of Rajshahi District. A total of 160 respondents were randomly selected from Santal and Bengali culture populations. A 2×2×2 factorial design representing two levels of cultural group (Bengali / Santal), two levels of residential background (urban / rural) and two levels of sex (male / female) was used in the study. The Measure of Aggressive Behaviour was used for data collection. The data were analyzed using Analysis of Variance. It was found that Bengali respondents expressed more aggression than Santal respondents. Residential background and sex differences were also observed. Thus culture emerged as an important factor in aggression. Key words: Aggression; antisocial behaviour; gender differences; residential background; culture DOI: 10.3329/jles.v3i0. 7445 J. Life Earth Sci., Vols. 3-4: 43-46, 2009
Identification and expression analysis of a pathogen- responsive PR-1 gene from Chinese wild Vitis quinquangularis

In response to pathogen attacks, plant produces a wide range of pathogenesis-related (PR) proteins. PR-1 genes represent the first identified PR gene family. Most members of PR-1 gene family are not inducible by pathogen attacks. In this study, we identified a pathogen-responsive PR-1 gene designated as VqPR-1 (GenBank accession no. JN256202), in a subtractive suppression hybridization (SSH) cDNAlibrary from Elsinoe ampelina -inoculated young leaves of Chinese wild Vitis quinquangularis clone ‘shang-24’. VqPR-1 protein contained the requisite signal sequence at the N-terminus, a conserved three-dimensional structure called ‘PR-1 fold’ and a highly conserved six-cysteine motif. Expression level of VqPR-1 rose rapidly in response to E. ampelina infection. The three tested plant defence signaling molecules, salicylic acid (SA), ethephon (Eth) and methyl jasmonate (MeJA) all triggered an induction of VqPR-1. However, the induction by addition of MeJA was weaker than that induced by SA and Eth. In addition, the response to inoculation with E. ampelina or treatment with signaling molecules, was sometimes a suppression of VqPR-1 gene expression. The highest expression of VqPR- 1 was observed in flowers, stems and leaves, while low-level or no obvious transcripts were detected in pericarps and tendrils, respectively. Key words: Vitis quinquangularis, PR-1 gene, Elsinoe ampelina, expression analysis.
Proactive Spectral Handoff Based on Markov Chains

The growth of mobile services, allocation policies, the scarcity of the radio spectrum and underutilization have promoted the use of computer science strategies for cognitive radio. This paper proposes a prediction model for the spectral transfer based on Markov chains, the objective of the algorithm is to predict the spectral occupation from the present state of the system. Markov chains are a technique that simulates the prediction of the current condition of the previous states. To evaluate the strategy a Matlab program is developed in five stages, information of power, availability, and bandwidth are taken from the Spectrum Mobility Analytical Tool software. The number of channels is dynamic and can be adjusted through two selection techniques, the fuzzy multivariable feedback algorithm - FFAHP and a random model of normal distribution. Five evaluation metrics were used for the performance analysis: cumulative average number of failed handoffs, cumulative average number of carried-out handoffs, average bandwidth, cumulative average delay, and cumulative average performance. For prediction analysis, four indicators are used: exact prediction, good prediction, regular prediction and bad prediction. The results of the analysis show that the prediction of spectral handoff using Markov chains is efficient, the cumulative maximum number of failed handoffs was 69, the exact predictions are above 91%, no indicator of a poor prediction was presented, and the regular predictions do not exceed 0.5%.
WEI YAO et al: EVOLUTION MECHANISM OF SYNERGY IN INDUSTRIAL-FINANCIAL GROUPS

An Industry-Finance group is a new type of enterprise that resulted from the mutual alliance of capital and management between industrial and financial organizations, as well as a consequence of self-organization co-evolution on industrial-financial integration from claims model to equity model. Based on synergetics and self-organization theory, this Paper constructs a theoretical model of the ability of synergic development on Industrial-Financial Group System, whose evolutionary process and mechanism is studied by self-organization motion equation and potential functions. Studies show that the order parameter of Industry-Finance group system is the ability of synergic development in these systems, which is composed of subsystems including industrial capital, financial capital, human capital and intangible assets whose evolutionary process is a process of potential functions and non-equilibrium phase transition.
Design of Repeat-Accumulate Codes from Graphs with Large Girth1

The design of high-performance structured Repeat-Accumulate (RA) codes from graphs with large girth is considered. These codes are matched to the needs of iterative decoding and are essentially similar in structure to architecture-aware LDPC (AA-LDPC) codes. A base parity-check matrix is first constructed from a base Ramanujan graph or a cage-graph according to some desired code parameters. Its non-zero entries are then expanded into S × S random permutation sub-matrices, and its zero entries into S × S all-zero sub-matrices, where S is a VLSI design metric, with the potential of improving the girth of the base graph. The resulting matrix represents the parity-check matrix of an architectureaware (AA)-RA code. The AA structure enables a low-complexity, memory-efficient, scalable, and parallel RA decoder implementation based on the turbodecoding message-passing (TDMP) algorithm. Design examples of architecture-aware RA codes and their performance on AWGN channels are presented. Simulations indicate that AA-RA codes perform well iterative decoding.
On the Thermodynamic Consistency of a Two Micro-Structured Thixotropic Constitutive Model

The time-dependent rheological behavior of the thixotropic fluids is presented in various industrial fields (cosmetics, food, oil, etc.). Usually, a couple of equations define constitutive model for thixotropic substances: a constitutive equation based on linear viscoelastic models and a rate equation (an equation related to the micro-structural evolution of the substance). Many constitutive models do not take into account the micro-structural dependence of the shear modulus and viscosity in the dynamic principles from which are developed. The modified Jeffreys model (con-sidering only one single micro-structure type) does not show this incoherence in its formulation. In this chapter, a constitutive model for thixotropic fluids, based on modified Jeffreys model, is presented with the addition of one more micro-structure type, besides of comments on some possible generalizations. The rheological coherence of this constitutive model and thermodynamic consistency are analyzed too. This model takes into account a simple isothermal laminar shear flows, and the micro-structures dynamics are relate to Brownian motion and de Gennes Reptation model via the Smoluchowski ™ s coagulation theory.