Miracle-dz/UniFAR-FTUs huggingface dataset:
A HYDROPHILIC AND HALOPHILIC BIOPOLYMER PRODUCED BY SOIL BACTERIUM CMG1447mp

The extracellular polymeric substance produced by dry soil isolate Pseudomonas putida CMG1447mp was characterized for hydrophilic and halophilic activities. CMG1447mp was found to produce a similar polymer from either fructose or glucose or sucrose and polymer from each carbon source was an anionic heteropolysaccharide containing glucuronic acid, D-glucose with higher concentration, D-mannose and L-rhamnose. The polymer produced from different carbon sources was found to express high hydrophilic and halophilic activities in both hot and cold environments. Bacterial origin polymer was hygroscopic, heat stable and can function as water reservoir.
Ownership as a Predictor of Future Security Returns

Rottgen, Raphael Alexander; Laber, Eduardo Sany (Advisor). Institutional Ownership as a Predictor of Future Security Returns. Rio de Janeiro, 2015. 96p. MSc Thesis Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro. Data on institutional ownership of securities is nowadays publicly available in a number of jurisdictions and can thus be used in models for the prediction of security returns. A number of recently launched investment products explicitly use such institutional ownership data in security selection. The purpose of the current study is to apply statistical learning algorithms to institutional ownership data from the United States, in order to evaluate the predictive validity of features based on such institutional ownership data with regard to future security returns. Our analysis identified that a support vector machine managed to classify securities, with regard to their four-quarter forward returns, into three bins with significantly higher accuracy than pure chance would predict. Even higher accuracy was achieved when "predicting" realized, i.e. past, fourquarter returns.
Phages Can Be More Effective and Specific Than Antibiotics in Combating Bacteria

Every year, tens of thousands of people die of infections from antibiotic-resistant bacteria. Phage therapy has been suggested as an alternative because bacteria resistant to antibiotics may still be susceptible to phages. Furthermore, phages have the advantage of being more specific and thus less likely to harm beneficial bacteria. However, phages may have limited effectiveness in combating bacteria since bacteria possess several antiviral defense mechanisms and can quickly develop resistance to phages. The purpose of this study was to compare the effectiveness and specificity of antibiotics and phages in combating bacteria. To this end, we exposed strains of the bacteria Escherichia coli to T4 bacteriophages and antibiotics and assessed effectiveness and specificity of bacterial killing. Fission yeast, a unicellular eukaryotic organism, was used as a control. Cell growth, phage plaque formation, or cell concentrations were observed or measured. It was found that T4 phages are more specific and effective in fighting or inhibiting both antibiotic-resistant and sensitive bacteria than antibiotics. One phage can kill at least 4000 actively growing bacterial cells within two hours. Therefore, the data suggest that phage therapy can be developed as an efficient tool to combat antibiotic-resistant bacteria.
Network Function Offloading Through Classification of Elephant Flows

With the move from traditional hardware appliance based network functions to Network Function Virtualization, software development is decoupled from the hardware. However, as a network function is no longer optimized for hardware, beneficial features of networking hardware may not be used any more. Solutions such as SDN or NIC offloading aim to overcome this antipodes by integrating networking hardware into the packet processing pipelines. On the one hand, offloading traffic of network functions to hardware can increase throughput and reduce resource consumption. On the other hand, the number of parallel flows in a network can be very high, exhausting the capacity of the tables of the networking hardware and force the system to fall back to software processing. Fortunately, it is known that a large portion of the flows in the Internet are mice flows, whereas the majority of the traffic is constituted by elephant flows. If the elephant flows can be detected efficiently, the hardware tables can be used more efficiently as a larger share of the traffic can be offloaded. We introduce a machine learning based approach that takes its decision with the first packet of a flow. A fundamentally different approach is using packet sampling for the offloading decision. We are evaluating both approaches in terms of complexity, offloaded share of the traffic and table occupation. The results show that a machine learning based offloading decision is possible with the first packet. The sampling approach only reaches a comparable performance at very high sampling rates.
Automatic Generation of Learning Assignments for Software Engineering Formalisms

—Creating learning or examination assignments is a re-occurring activity in the context of teaching. In particular new examination assignments are often desired for each season of teaching a course. In our teaching, we have observed that our creation of assignments for software engineering formalisms uses certain intuitive constraints to obtain assignments at a designated level of difﬁculty and, e.g., with particular properties to be analysed in the assignment. In this work, we present an approach where we formalise our (formerly intuitive) constraints and use constraint solving tools to automatically synthesise learning assignments that satisfy these constraints. In our approach we leverage the fact that our software engineering course teaches the majority of software description languages fully formal. That is, an artefact using such a software description language is then a mathematical object for which we can give precise constraints. We demonstrate our approach on the example of learning and examination assignments for the notion of determinism on decision table and discuss applications of our assignments synthesis procedure.
Understanding implications of tissue-specific codon usage in human

Background It is widely known that synonymous codons are not used with the same frequency in all organisms. Of special interest, such bias in codon usage has been associated with gene regulation and protein folding [1]. Rare codons have been shown to generate pauses during translation process which might be necessary for the correct folding of proteins. For example, Kimchi et al. found how a single synonymous codon change affects MDRs affinity for its ligand and modify its sensibility to inhibitors [2]. As codon usage could also drastically influence protein conformation and function, renewed interest in the field has appeared. Several studies have been focused on human tissuespecific codon usage and some controversies arose. Some researchers suggested that genes expressed in different tissues can be classified by their codon usage, implying that there is a selective pressure under tissue-specific codon usage[3]. Yet, others authors disagree with this idea and this issue remain on debate [4]. Here we reanalyzed publicly available data of tissue specific expression aiming to describe the patterns of tissue-codon usage and shed light on the forces underlying this putative phenomenon. Material and Methods Microarray expression data was downloaded from GEO [http://www.ncbi. nlm.nih. gov/geo], acquiring six series including a total of 1586 experiments. Additional information about genes represented in Affymetrix chips (over 20000) was obtained from Affymetrix and Ensembl project websites. CodonW was run on human coding sequences. A MySQL database was constructed for information storage while the main analysis tool involved R statistical language, specially the packages RMySQL, limma and affy, among others. Codon usage of each gene was weighted by its tissue specific expression value. In this way, we obtained a codon usage vector for each tissue. A plethora of multivariate tools like clustering, correspondence analysis and principal component analysis were conducted to discover the behavior of tissues with respect to codon usage as well as its relation to other parameters such as G+C content, embryonic origin, chromosome location or metabolic pathways. Results Preliminary results show that clustering tissues by gene expression profiles do not agree with the clustering by codon usage, revealing that specificity of codon usage is not due to the expression of the same genes within clusters. Correspondence analysis showed that GC3 content could be one of the main underlying forces explaining tissue-specific codon usage behavior. Yet, other correlations like embryonic origin and metabolic paths still remain.
APPLICATIONS OF HYDRO-MECHANICALLY COUPLED 3D MINE AND RESERVOIRE SCALE, DISCONTINUOUS, STRAIN-SOFTENING DILATANT MODELS WITH DAMAGE

In gas and oil as well as in several mining applications hydro-mechanical phenomena play an important role and need to be considered in numerical models for calibration and forecasting analyses. In this paper, a two-way coupled hydromechanical formulation is described and applied to real size, complex 3D mining and reservoir model examples including structures using the Finite-Element Method (FEM) framework. The proposed coupling considers increasing hydraulic conductivities due to the evolution of rock mass damage induced by mining activities or fluid injection. This enables the potential development of additional flow paths and affects the fluid pressure distribution, which, in turn, affects the mechanical response via the effective stress concept. The mechanical framework uses a strain-softening, dilatant and discontinuum constitutive model for both bulk rockmass and structures such as faults on a regional scale and discrete fracture networks (DFN). are given in terms of (total) Cauchy stresses , bulk mass density and volumetric forces . Eq.(1) is defined in the deformed domain configuration. As strain rate measure, the rate-of-deformation = , = + (2) is introduced, which can be additively decomposed in an elastic and plastic part. Here, denotes the velocity field, = ⁄ , with being the displacement field. The Cauchy stresses can be updated from a material objective stress rate °, which is obtained as action of the elasticity tensor on the elastic part of the rate-ofdeformation ° = ⋅ − . (3) It remains to quantify the plastic part of the rate-ofdeformation, which is presented in the reminder of this subsection. The Menetry-Williams [1] yield surface ! , ", # = $ " %&'( ) + *+ $3 " %&' . # " ⁄ , / − ! %&'( − 0
Beyond governance and conflict: measuring the impact of the neighborhood effect in the Arab region* Emerging and Conflict-Related Issues Division

* This study was prepared by Youssef Chaitani and Fernando Cantu within the context of the work of the Emerging and ConflictRelated Issues Division of UN-ESCWA. The authors would like to acknowledge with appreciation the support of Lubna Ismail and Christy Makridis in the preparation of this report. This is a preliminary draft as of 15 October 2014; comments are welcome to cantu@un.org or chaitani@un.org.
Liquid-liquid extraction and ultrafiltration based sample preparation technique for Q-TOF LC/MS analysis of non-polar metabolites in human plasma samples

Metabolomics is one of the main areas to understand cellular process at molecular level by analyzing metabolites. In recent years, metabolomics has been emerged as key tool to understand molecular basis of disease, find diagnostic and prognostic biomarkers, and develop new treatment opportunities. One of the most important challenge for metabolomics analysis is sample complexity due to wide concentration dynamics. In untargeted metabolomics studies for human plasma samples, generally there is no pre-fractioning method for metabolites prior to LC/MS analysis. This situation causes problem for analysis of some specific metabolites belonging to different pathways in such a complex system. In this study, it was offered liquid-liquid extraction and ultrafiltration-based sample preparation technique for fractioning of non-polar metabolites. Human plasma metabolites were extracted with a well-known cosolvent system (methanol/water/chloroform) and separated according to their polarity in aqueous and organic phases. Ultrafiltration process was performed for both phases to clean-up the sample. Solvents were evaporated and the remaining parts were dissolved in an organic solvent, acetonitrile, to obtain the non-polar metabolite mixtures. Samples were analyzed using Q-TOF LC/MS system for metabolite profiling. Metabolites were separated in a C18 (Agilent Zorbax C18 1.8 μM, 50 x 2.1 mm) column at 0.200 ml min-1 flow rate. Water and acetonitrile mixture including 0.1% formic acid was used as the mobile phase in a 25 min gradient elution system. In the aqueous phase, 249 peaks were found and 60 peaks were obtained in the organic phase. 14 peaks were common in both phases. Results showed that cosolvent system could be used for pre-fractioning of metabolites and reduce complexity of human plasma for metabolite profiling.
Which Restoration of Walking after Minimally Invasive total Hip Arthroplasty?

Introduction: The current craze for minimally invasive approaches is leading to a renewed interest in total hip arthroplasty, but to our knowledge there is no evidence of the superiority of an operative technique in terms of quality of walking recovery. This review aims to analyze the restoration of the spatio-temporal parameters of gait in first-line total hip arthroplasty suites on hip osteoarthritis and perform a comparison of recovery according to the surgical technique. Materials and Method: 15 studies were analyzed according to the main criteria of walking speed, unipodal support time, step length and preoperative loading and in the short, mediumand long-term postoperative period. Results: Although most of the results obtained in the studies analyzed show an improvement in these criteria post-operatively, they remain lower than those obtained in a healthy population. Conclusion: This work does not highlight the superiority of recovery of the operation of a surgical technique.
UTILIZATION OF DEODORIZER DISTILLATE UNSAPONIFIABLE MATTER OF COTTON SEED AND PALM OILS AS NATURAL ANTIOXIDANT FOR SUNFLOWER SEED OIL

Deodorizer distillates of cottonseed oil (DODC) and palm oil (DODP) contained moisture 0.54, 0.46 unsaponifiable matter% 9.0, 14.9 tocopheralo %0.14, 2.15 oxidized fatty acid %0.51, 0.84, acid value 10.35, 145.65, saponification value 182.4, 176.0 and peroxide value 3.74, 5.91 respectively. Using different concentrations (0.05, 0.1 and 0.3%) of unsaponifiable matter (USM) for each DOD increased the stability of sunflower seed oil. The results indicated that USM of DODP was more effective as natural antioxidant than that of DODC.
mHealth4Afrika-Supporting Primary Healthcare Delivery in Resource Constrained Environments

mHealth4Afrika is co-designing and validating a modular, multilingual, state of the art health information system to address primary healthcare requirements in resource constrained environments. This platform has been co-designed in partnership with Ministries of Health, district health officers, clinic managers and primary healthcare workers from urban, rural and deep rural clinics in Ethiopia, Kenya, Malawi and South Africa. This paper provides insights into the motivation for this work, the co-design process followed to develop and validate the mHealth4Afrika platform to date, ongoing research and lessons learnt to date. The expected outcome is a multi-country proof of concept that can be adapted to address the requirements of different national health systems. mHealth4Afrika has the potential to make a significant contribution to strengthening primary health delivery in resource constrained environments.
Application technology of imidacloprid in wheat: Effects on Schizaphis graminum management and natural enemies

Wheat production is dependent on costly insecticides that generate social and environmental issues. The growing demand for a rate reduction of spray applications and increased spray efficiency make essential the research for more adequate crop management. Therefore, this study aimed to evaluate technologies of imidacloprid application on wheat aphid, Schizaphis graminum and its natural enemies, Chrysoperla externa and Orius insidiosus. A set of experiments were performed to evaluate the effectiveness of S. graminum control and the toxicity to natural enemies using imidacloprid plus adjuvants sprayed with different nozzles and application rates. Improved S. graminum control was observed in the association between the adjuvant lauryl ether sodium sulfate and the hollow cone nozzle for both application rates (75 and 150 L ha-1), and the adjuvant copolymer of polyester + silicone + d-limonene with the asymmetric twin flat-fan nozzle at a low rate (75 L ha-1), since these treatments eliminate the wheat aphid after the fifth day of treatment application. The reduction of spray volume to wheat aphid control is possible with no loss of insecticide effectiveness. Imidacloprid associated with any one of the adjuvants tested is harmful to C. externa and O. insidiosus, even at the fifth day after application the insecticide continues being harmful to the natural enemies, regardless of the technology used. Key words: Triticum aestivum, Schizaphis graminum, ecological disturbance, insecticide impacts, natural control, neonicotinoid.
Critical Phenomena of Charged AdS Black Holes in Rastall Gravity

We construct analytical charged anti-de Sitter (AdS) black holes surrounded by perfect fluids in four dimensional Rastall gravity. Then, we discuss the thermodynamics and phase transitions of charged AdS black holes immersed in regular matter like dust and radiation, or exotic matter like quintessence, CDM type, and phantom fields. Surrounded by phantom field, the charged AdS black hole demonstrates a new phenomenon of reentrant phase transition (RPT) when the parameters , , and satisfy some certain condition, along with the usual small/large black hole (SBH/LBH) phase transition for the surrounding dust, radiation, quintessence, and cosmological constant fields.
Dexketoprofen trometamol loaded solid lipid nanoparticles (SLNs): Formulation, in vitro and in vivo evaluation

Development, in vitro and in vivo evaluation of dexketoprofen trometamol (DT)-loaded nanosized drug delivery system was aimed in this study. DT-loaded solid lipid nanoparticles (SLNs) were prepared using probe sonication. DT release from SLNs prepared and their kinetics were investigated. Structures of SLNs were elucidated by particle size and zeta potential measurements, shape and surface imaging, thermal analysis, X-ray diffraction, FT-IR and 1H-NMR determinations. DT-loaded particles demonstrated characteristic plaque shapes while in vitro release studies showed extended release of DT. Korsmeyer-Peppas kinetic model was found to fit the best using DDSolver software program. Stability, cytotoxicity and in vivo animal experiments were further performed on DT-loaded SLN showing also prolonged analgesic activity in mice. Depending on the in vitro and in vivo test results, formulation developed in this study seems to prolong DT release and is promising for extending analgesic activity.
THE IMPACT OF EQUITY BANK SERVICES ON INDIVIDUALS AND ORGANIZATIONAL PERFORMANCE WITHIN NAIROBI

This paper presents a well elaborate study on the impact of Equity bank services on individuals and organizations performance. It will seek to highlight the effects of the decision making by the top management and the effects of the strategic decision making by the leadership. An evaluation will also be carried out to ascertain the results obtained as a result of use of modern technological innovation within the banking sector and in Equity bank in particular. The target population included the 240 staff from the Equity bank of Kenya in the NCBD and its environment as well as he head office. A sample of 20% (48 respondents) was selected using stratified random sampling from within each group in proportion. Both qualitative and quantitative data was collected by aid of both primary and secondary data. Data was analyzed using SPSS software and presented through aid of frequency tables and charts. The study established that innovation is the reason behind the flourishing and top market leadership position of equity bank. Technology was highly rated to be influencing the success and high performance of Equity bank. On the relationship between consumer relations and success of Equity bank, most of the respondents argued that consumer relations affect the high performance of the management. Majority of the respondents attributed employee competence to high organizational performance in equity bank.
An Aplysia-like Spiking Neural Network Implementation of Sensory Fusion on an Autonomous Robot

We here introduce a novel biologically inspired adaptive controller for autonomous robot. The proposed controller binds N number of Aplysia-like spiking neural network each of which could interact with a particular sensory information and produce various motors output. The post-synaptic weights in each model are gradually updated by the property of spike timing-dependent plasticity (STDP) and that of the presynaptic modulation signal (synapse-on-synapse contact) from the sensory neurons. Information from different types of sensors is bound at the motor neurons. Experimental results show that a physical robot Khepera with the proposed controller quickly adapted into an open environment by evolving obstacle avoidance behavior while locating a target object using both its IR sensors and liner-camera. We believe that this novel approach could be an opportunity for new applications to autonomous robots with various sensory and motor modalities.
Approaches of POS Tagging Algorithm for Bangla Corpus

— Parts of speech is the process of classifying words into their parts of speech and labeling them accordingly in lexical categories and by using this POS tagging it is very easy to identify the words as nouns, verbs, adjectives etc. in each word in a natural Language sentence. For building lemmatizers which we are used to reduce a word to its root form in natural processing language, the POS tagging is essential part. The text analysis, machine translator, information retrieval and text to speech synthesis etc. POS tagging is initial stage in NLP application. Now a days to implement POS tagger various approaches have been proposed. In this paper Trigram and HMM methods are using to develop the tagger in general statistical approach and present a clear idea about this algorithm and also represent tag set with Indian corpus for tagging Bangla text for trying to find the accuracy of taggers output. This paper also presents the various development in POS taggers and POS-tag-set for Bangla language, which is very important computational verbal tool needed for natural language processing (NLP) presentation [1].