Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Blog Classification: Challenges and Pitfalls

Blogs are difficult to categorize by humans and machines alike, because they are written in a capricious style. In the early days of web, directories maintain by humans could not keep up millions the websites; likewise, blog directories cannot keep up with the explosive growth of the blogsphere. This paper investigates the efficacy of using machine learning to categorize blogs. We design a text classification experiment to categorize one hundred and twenty blogs into four topics: personal diary, news, political, and sports. The baseline feature is unigrams weighed by TF-IDF, which yielded 84% accuracy. We analyze the corpus, features, and result data. Our analysis leads us to believe that blog taxonomies need to support polyhierarchy—a given blog may be correctly classified under more than one category.
Simulation and Comparison of Long Term Evolution (LTE) Schemes in Wireless Sensor Networks

High speed data transmission has become one of key elements in wireless sensor systems. Power constraints of the sensor nodes should be accounted to deploy such high speed transmission techniques in to wireless sensor network. This paper mainly aims the fair allocation of both high speed and low power in the network. Here we establish a LTE standard for communication between nodes to get higher transmission rates with optimal power and compare the results between two popular schemes of LTE such as OFDMA and SC FDMA. Simulation results prove that SC FDMA produce some optimal results in terms of SNR and power efficiency.
Gendered Challenges and Opportunities in Module II Programs in Kenyan Public Universities: A Critical Appraisal

African countries have, since independence recognized education as a major catalyst of development. Five decades later, this focus has not changed although literacy rates remain low. In Kenya, many initiatives to increase access have been mounted and at the university level, public universities increased access by introducing self-sponsored programs, popularly known as Module II programs. The programs are being offered to mature students as a life-long learning model. This paper explores the intersection of issues of gender and these Module II programs in public Universities in Kenya.
Optimization of HMM with interactive evolutionary computation for composing system

This paper presents the interactive composing system, i-Sonneteer. This system optimized HMM into the model of favorite with interactive evolutionary computation. The user rates and improves a melody with GUI. HMM learns 7 melodies which are improved before by the user, and generates the melody based on the learned data. If HMM learns the melodies that can be selected well, the HMM generates the pleasant melody. In interactive evolutionary computation, an individual is HMM, and a gene is an improved melody. When HMM is not mutated, the HMM generates the melody that has the highest probabilities in oneself. When HMM is mutated, the HMM generates the melody with the randomwalk or the older melodies learning method. This effects that the user's favorite is improved more clear. I-Sonneteer does not only optimize the HMM but also makes the favorite more clear. If the favorite is defined, the user can compose the pleasant melody. So we guess the definition of the favorite is more important than the optimization of the HMM. We experiment in comparing the randomwalk with the older melodies learning method in the mutation.
Ontologies, taxonomies, thesauri:learning from texts

The use of ontologies as representations of knowledge is widespread but their construction, until recently, has been entirely manual. We argue in this paper for the use of text corpora and automated natural language processing methods for the construction of ontologies. We delineate the challenges and present criteria for the selection of appropriate methods. We distinguish three ma jor steps in ontology building: associating terms, constructing hierarchies and labelling relations. A number of methods are presented for these purposes but we conclude that the issue of data-sparsity still is a ma jor challenge. We argue for the use of resources external tot he domain specific corpus.
MAXIMUM LENGTH TERNARY SIGNAL DESIGN BASED ON NYQUIST POINT MAPPING

Abstract The design of ternary pseudo random maximum length signals suitable for system identification under noisy conditions is considered, where the power content in the specified harmonics should be high. Signal levels conversion for mapping a maximum length sequence in the Galois field into three signal levels is proposed such that the primitive version of the signal has only one nonzero harmonic at the Nyquist frequency. If the primitive signal is subsequently used in the design of a maximum length signal of a larger period, this will result in the latter having high power concentrated at the nonzero harmonics.
Mesh Denoising via Genetic Algorithm

Mesh denoising is an essential process in many geometric applications. We describe a simple and efficient mesh denoising approach based on genetic algorithm. The raw mesh is smoothed using a floating-point genetic algorithm that is more flexible than the usual binary genetic algorithms, and can handle non-smooth regions containing several local extrema. The fitness function selected is a weighted linear combination of the triangle aspect ratio and the Laplacian distance at each node of the triangular mesh. Compared with widely-used gradient descent based schemes, our method avoids specifying the iteration step size, and performs better at challenging regions with rich geometric features. Extensive qualitative and quantitative experiments demonstrate that our approach can effectively remove noise from meshes.
APEC TRADE LIBERALISATION : ITS IMPLICATIONS ECONOMICS DEPARTMENT WORKING PAPERS N0. 197

RÉSUMÉ APEC Trade Liberalisation: Its Implications Over the past decade, globalisation has been a pervasive trend in almost all economies. The world economy is becoming increasingly interdependent, deepening and intensifying international linkages, most notably in trade. As trade expands among nations throughout the world, integration of the Organisation for Economic Co-operation and Development (OECD) economies with non-OECD economies has become a salient feature of the global economy. This study identified the possible long-term effect of APEC’s trade liberalisation commitments on real GDP and trade across regions, both inside and outside the APEC area, and on employment by production sector in each region, using a multiregion, multisector, computational general equilibrium (CGE) model. One of the key findings from our empirical work is the impacts of trade liberalisation and facilitation measures in the APEC region have turned out to be significant at least in direction if not in magnitude, throughout OECD as well as non-OECD economies. In particular, because agricultural liberalisation and trade facilitation are incorporated in our experiment, the impact stemming from liberalisation in these areas turned out to be substantially important. ***** Au cours de la dernière décennie, la tendance à la mondialisation s’est développée dans presque toutes les économies. L’économie mondiale se caractérise par une interdépendance croissante, avec un approfondissement et une intensification des liens internationaux, plus particulièrement dans le domaine commercial. Avec l’extension des échanges entre nations à travers le monde, l’intégration des économies Membres de l’Organisation de Coopération et de Développement Economiques (OCDE) et des économies non membres est devenue un trait marquant de l’économie mondiale. Cette étude examine, à l’aide d’un modèle d’équilibre général calculable, multisectoriel et multirégional, l’effet à long terme possible des engagements de libéralisation des échanges au sein de l’APEC sur le PIB réel et sur le commerce d’une région à l’autre, à l’intérieur comme à l’extérieur de la zone de l’APEC, et sur l’emploi par secteur productif dans chaque région. L’une des principales conclusions de nos travaux empiriques est que les effets des mesures de libéralisation et de facilitation des échanges dans la région de l’APEC se sont révélés significatifs du point de vue de leur orientation, sinon de leur ampleur, dans toute la zone de l’OCDE ainsi que dans les économies non membres. En particulier, la libéralisation et la facilitation des échanges dans le secteur agricole étant incorporées dans notre exercice, l’impact de la libéralisation dans ces domaines s’est avéré très important. Copyright OECD, 1998 Applications for permission to reproduce or translate all, or part of, this material should be made to: Head of Publications Service, OECD, 2 rue André Pascal, 75775 Paris Cedex 16, France.
Integrated Insurance Design in the Presence of Multiple Medical Technologies

The classic theory of moral hazard concerns the insurance of a single good and predicts that co-insurance is larger when the elasticity of demand is higher and when small risks are insured. We extend this analysis to the insurance of multiple goods; for example, the simultaneous insurance of medical services and prescription drugs. We show that when multiple goods are either complements or substitutes--so that a change in co-insurance for one service affects the demand of others--the classic moral hazard results do not hold. For example, the single good model would predict high co-payments for prescription drugs since drug demand is elastic and of modest financial risk. However, a model of multi-good insurance suggests such drug coverage may optimally involve zero or even negative co-insurance when it is a substitute to other services insured such as hospital care or physician services. We summarize some of the empirical evidence in support of markets adopting optimal integrated pricing structures rather than individually optimal pricing structures.
Bactericidal/permeability increasing protein attenuates the myocardial inflammation/dysfunction that occurs with burn complicated by subsequent infection.

Intubation and mechanical ventilation after burn contribute to pneumonia-related infection. Although postburn presence or absence of endotoxin has been described, inactivation of Toll-like receptor 4 signaling has been shown to improve postburn organ function, suggesting that LPS participates in burn-related susceptibility to infection. We hypothesized that bactericidal/permeability-increasing protein (rBPI) given postburn would attenuate myocardial inflammation/dysfunction associated with postburn septic challenge given 7 days postburn. Rats were given burn over 40% total body surface area, lactated Ringer 4 ml.kg(-1). % burn(-1); burns received either vehicle or rBPI, 1 mg.kg(-1). h(-1) for 48 h postburn. Postburn day 7, subgroups of burns and shams were given intratracheal Klebsiella pneumoniae, 4 x 10(6) CFU to produce burn complicated by sepsis; additional sham and burn subgroups received intratracheal vehicle to produce sham sepsis. Vehicle-treated groups: 1) sham burn + sham sepsis 2) sham burn + sepsis, 3) burn + sham sepsis, 4) burn + sepsis. rBPI-treated groups: 5) sham burn + sham sepsis, 6) sham burn + sepsis, 7) burn + sham sepsis, 8) burn + sepsis. Cardiomyocyte cytokine secretion and myocardial function were studied 24 h after septic challenge, postburn day 8. Pneumonia-related infection 8 days after vehicle-treated burn produced myocyte cytokine secretion (pg/ml), indicated by increased myocyte TNF-alpha, 549 +/- 46; IL-1beta, 50 +/- 8; IL-6, 286 +/- 3 levels compared with levels in sham myocytes (TNF-alpha, 88 +/- 11; IL-1beta, 7 +/- 1; IL-6, 74 +/- 10; P < 0.05). Contractile dysfunction was evident from lower left ventricular pressure +/-dP/dt values in this group compared with sham. rBPI attenuated myocyte cytokine responses to septic challenge and improved contractile function, suggesting that burn-related mobilization of microbial-like products contribute to postburn susceptibility to infection.
Growth and Densification Processes in Suburban Landcapes-a Spatial Agent-Simulation

The paper discusses a model that performs the simulation of polycentric development of suburban systems. It introduces different settlement pattern growth speeds in different suburban regions considering housing area densification and land use change from open space to built up area. Accordingly, the approach concentrates on a Spatial Agent Model (SAM) to perform the movement patterns and the settlement densification processes as well as land use change. In particular, the approach takes into account the suburban population migration as driving force for polycentric development patterns. Therefore, this model is better adapted to real world suburban processes than Cellular Automata (CA) applications that are based only on general land use transition rules applied to neighbouring land use patterns.
A randomized approach to the capacity of finite-state channels

Inspired by the ideas from the field of stochastic approximation, we propose a randomized algorithm to compute the capacity of a finite-state channel with a Markovian input. When the mutual information rate of the channel is concave with respect to the chosen parameterization, we show that, at least for some practical channels, the proposed algorithm will converge to the capacity almost surely.
New constraint for Black Holes in N=2, D=5 supergravity with matter

With the general aim to classify BPS solutions in N=2, D=5 supergravity with hypermultiplets and vector multiplets, here we consider a family of static spacetime metrics containing black hole-like solutions, with generic hypermultiplets coupled to radially symmetric electrostatic vector multiplets. We derive the general conditions which the fields must satisfy and determine the form of the fixed point solutions.
The dynamic relationship between processing trade and economic growth in China

This paper, based on the annual data from 1985 to 2007, builds up multi-variables' VAR model among domestic product gross (GDP), processing trade export and processing trade import, and then analyzes the relative variance contribution of each structural impact to GDP by impulse response function(IRF) and variance decomposition. Studies have shown that for a short period, the alteration of China's GDP is mostly affected by its own alteration, the influence of processing trade export and processing trade import on China's GDP is low; for a long period, the contribution rate of processing trade export to GDP gradually increases while the influence coming from processing trade import is relatively weak.
Is the electric charge conserved in brane world

We discuss whether electric charge conservation may not hold in four-dimensional world in models with infinite extra dimensions, i.e., whether escape of charged particles from our brane is consistent with effectively four-dimensional electrodynamics on the brane. We introduce a setup with photon localized on the brane and show that charge leakage into extra dimension is allowed within this setup. The electric field induced on the brane by escaping charge does not obey four-dimensional Maxwell's equations; this field gradually disappears in a causal way. We also speculate on the possibility of the escape of colored particles and formation of colorless free quark states on the brane.
An Integrated Framework for Performance Excellence

January/February 2010 M company’s journey with CMMI began as a member of the Version 1.0 Product Team. Since supporting that effort in 1999 and 2000, we have consulted with customers who have adopted CMMI, have adopted it ourselves on several occasions, and have become a partner with the SEI for Appraisal Services and Training. We have also found ourselves part of a growing community that continues to discover the emerging power and value of the CMMI model suite. The driving principles that have emerged from this body of work are: • An improvement effort must be focused on achieving real business goals and helping the organization execute its business strategy. • If real results are needed in a meaningful time frame, leadership must be involved in a direct and real way, and process doers should own their own processes. • To be of significant value, improvements must be accomplished at the speed of business: often in weeks or months, rarely in years. We were driven by customer needs to attempt integration of the CMMI framework with other improvement approaches. We have now, along with our customers, integrated Lean Thinking, the ITIL framework, and Six Sigma mechanisms into the CMMI framework. Surprisingly, we found that CMMI models consistently provided a synergistic integrating framework for these other approaches, resulting in CMMI-based performance improvement capabilities that far outreached any one of these approaches alone. It is worth mentioning that all of our initial efforts were in support of customer and internal software development organizations. The lessons learned in this article are all directly applicable to small-to-large software organizations. Our first integration of Lean Thinking was accomplished by integrating the Lean software development constructs [1] into the CMMI for Development (CMMI-DEV) framework. The surprising results (discussed in this article) encouraged us to approach the integration of other improvement approaches with a more positive and hopeful view. These ideas were initially briefed by the author (in an acquisition context) to the DoD-sponsored Software Acquisition Fall Workshop (2007). In this article, I will first discuss the three driving principles of performance improvement. A brief comparative discussion of the four improvement approaches follows, and I will conclude with a discussion of the integrated CMMI-based framework.
NSs Virulence Factor of Rift Valley Fever Virus Engages the F-Box Proteins FBXW11 and β-TRCP1 To Degrade the Antiviral Protein Kinase PKR

ABSTRACT Rift Valley fever virus (RVFV, family Bunyaviridae, genus Phlebovirus) is a relevant pathogen of both humans and livestock in Africa. The nonstructural protein NSs is a major virulence factor known to suppress the type I interferon (IFN) response by inhibiting host cell transcription and by proteasomal degradation of a major antiviral IFN effector, the translation-inhibiting protein kinase PKR. Here, we identified components of the modular SCF (Skp1, Cul1, F-box protein)-type E3 ubiquitin ligases as mediators of PKR destruction by NSs. Small interfering RNAs (siRNAs) against the conserved SCF subunit Skp1 protected PKR from NSs-mediated degradation. Consequently, RVFV replication was severely reduced in Skp1-depleted cells when PKR was present. SCF complexes have a variable F-box protein subunit that determines substrate specificity for ubiquitination. We performed an siRNA screen for all (about 70) human F-box proteins and found FBXW11 to be involved in PKR degradation. The partial stabilization of PKR by FBXW11 depletion upregulated PKR autophosphorylation and phosphorylation of the PKR substrate eIF2α and caused a shutoff of host cell protein synthesis in RVFV-infected cells. To maximally protect PKR from the action of NSs, knockdown of structurally and functionally related FBXW1 (also known as β-TRCP1), in addition to FBXW11 deletion, was necessary. Consequently, NSs was found to interact with both FBXW11 and β-TRCP1. Thus, NSs eliminates the antiviral kinase PKR by recruitment of SCF-type E3 ubiquitin ligases containing FBXW11 and β-TRCP1 as substrate recognition subunits. This antagonism of PKR by NSs is essential for efficient RVFV replication in mammalian cells. IMPORTANCE Rift Valley fever virus is a pathogen of humans and animals that has the potential to spread from Africa and the Arabian Peninsula to other regions. A major virulence mechanism is the proteasomal degradation of the antiviral kinase PKR by the viral protein NSs. Here, we demonstrate that NSs requires E3 ubiquitin ligase complexes of the SCF (Skp1, Cul1, F-box protein) type to destroy PKR. SCF-type complexes can engage variant ubiquitination substrate recognition subunits, and we found the F-box proteins FBXW11 and β-TRCP1 to be relevant for the action of NSs against PKR. Thus, we identified the host cell factors that are critically needed by Rift Valley fever virus to uphold its replication against the potent antiviral kinase PKR.
Combining Content-Based Auto-Taggers with Decision-Fusion

To automatically annotate songs with descriptive keywords, a variety of content-based auto-tagging strategies have been proposed in recent years. Different approaches may capture different aspects of a song’s musical content, such as timbre, temporal dynamics, rhythmic qualities, etc. As a result, some auto-taggers may be better suited to model the acoustic characteristics commonly associated with one set of tags, while being less predictive for other tags. This paper proposes decision-fusion, a principled approach to combining the predictions of a diverse collection of content-based autotaggers that focus on various aspects of the musical signal. By modeling the correlations between tag predictions of different auto-taggers, decision-fusion leverages the benefits of each of the original auto-taggers, and achieves superior annotation and retrieval performance.
The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case

In this report, we study the problem of the three-dimensional reconstruction of the electrical activity of the brain from electroencephalography (EEG) and magnetoencephalography (MEG). We use a variational approach based upon three main methods and ideas. The first one is the optimal control of systems governed by elliptic partial differential equations, the second is the regularization of the solutions while preserving the discontinuities (the edges), and the third one is the use of geometric information obtained from magnetic resonance images (MRI) to constrain the solutions in an anatomically «reasonable» way.
Economical Production of Recombinant Human Interleukin-17E using Industrially Important Salt Inducible Escherichia coli GJ1158: A Fermentation Approach

Interleukin–17E (also known as Interleukin–25) is the distinct member of Interleukin–17 cytokine family, induces the expression of IL–4, IL–5 and IL–13. Economical production of interleukin – 17E has lot of importance in the current day research in several clinical applications. The objective of the study was to optimize the physico–chemical parameters i.e., dissolved oxygen (DO) and nutritional factors i.e., carbon, nitrogen and phosphate sources on production of Interleukin–17E using industrially important salt inducible Escherichia coli GJ1158. The expression levels were not increased beyond 30 % DO in batch fermentation, but expression levels were increased beyond 30 % DO in fed-batch fermentation. The threshold level of dissolved oxygen ranges was 50 % in respect to the IL–17E production. Pulses of nutritional factors i.e., glucose, yeast extract and K2HPO4 enhanced the expression levels in fed batch fermentation at 40 % and 50 % dissolved oxygen ranges. When OD600 of the culture reaches to 74 in fed batch fermentation, culture was induced with 100 mM sterile NaCl and further incubated for next 15 hr. Purification was carried out using Ni – NTA spin column. A final concentration of 98 mg/L of purified IL–17E was obtained using cost effective medium viz., modified M9ON medium. The IL–17E thus produced is tested for its activity. In this study, fed-batch fermentation emphasizes the highest concentration of codon optimized recombinant human interleukin–17E using salt inducible expression host till to date, which manages to satisfy the industrial and clinical requirements.