Miracle-dz/UniFAR-FTUs huggingface dataset:
RESETTING OF AORTIC BARORECEPTORS IN RESPONSE TO HYPOTENSION DOES NOT ALTER GAIN SENSITIVITY

1 In chronic hypertension, the baroreceptors reset to hypertensive levels with a decrease in gain sensitivity, but only a few studies have evaluated baroreceptor resetting during chronic hypotension and, under these conditions, no consistent information is available concerning changes in baroreceptor gain sensitivity. Therefore, in the present study, the aortic baroreceptor function curve and the baroreflex control of heart rate (HR) were evaluated in chronic hypotension produced by myocardial infarction (MI) with no heart failure. 2 Aortic baroreceptor function curves were studied in anaesthetized three groups of rats: (i) MI‐7, six rats 7 days after MI; (ii) MI‐30, nine rats 30 days after MI; and (iii) five control animals (SHAM). The pressure–nerve activity relationship was measured during rapid changes in blood pressure by integrating the whole‐nerve activity of the baroreceptors in a computerized beat‐to‐beat analysis. 3 Both long‐term periods (7 or 30 days) of hypotension were accompanied by complete resetting of the baroreceptor in rats (the leftward displacement of the baroreceptor curve matched the decrease in blood pressure). Moreover, the resetting of the baroreceptor function curve was not accompanied by changes in gain sensitivity (1.47, 1.64 and 1.67%/mmHg for SHAM, MI‐7 and MI‐30 groups, respectively) and the baroreflex control of HR was normal comparing SHAM and MI‐30 groups (bradycardic 1.62 ± 0.18 vs 1.99 ± 0.52 b.p.m./mmHg, respectively; tachycardic 3.6 ± 0.5 vs 4.1 ± 0.4 b.p.m./mmHg for, respectively). 4 The data indicate that the resetting of baroreceptors in chronic hypotension is stable and is not accompanied by changes in gain sensitivity, as observed in hypertension. This may account for the normal baroreflex control of HR observed in non‐anaesthetized rats.
Antibacterial activities of erythromycins A, B, C, and D and some of their derivatives

The MICs of erythromycins A, B, C, and D and some of their derivatives were determined against 21 gram-positive and 15 gram-negative microorganisms. Antibacterial activity was confined to gram-positive and very few gram-negative bacteria. Erythromycin B was somewhat less active than erythromycin A, and erythromycin C and D showed about half that activity or even less. Most other derivatives had negligible activity. Determination of potency by diffusion and turbidimetric assays were in line with MICs. The examination of the results of these assays, however, revealed that there are differences between the data of different laboratories, depending on the microorganisms and conditions used.
Validation for compatible modular multilevel converter models using PSCAD/EMTDC

This paper validates the modular multilevel converter (MMC) models, which are developed by two different institutes using PSCAD/EMTDC. The MMC uses a large number of power-electronic switching devices that operate independently. Modeling such converters with individual switches in an electromagnetic transient (EMT) simulation program leads to extremely slow runs, and hence seems to be impractical. To overcome this issue, MMC can be modeled as a detailed equivalent circuit. In this method, each MMC arm is represented by a Thévenin equivalent branch whose voltage and resistance are calculated at each time step, thus reducing the computational burden. The models have been developed by Yonsei University in South Korea and the Manitoba HVDC Research Centre in Canada based on this technique. The presented models include the detailed equivalent representation of each converter arm, corresponding controls, waveform generation, and cell capacitor balancing strategies. To validate overall performance and transient response of the model, a 7-level MMC-HVDC is modeled with individual switches and through the detailed equivalent circuit. As an example for a realistic system, a 201-level MMC-HVDC system is also simulated. The results demonstrate validity and compatibility of two MMC models.
Purification of Extracellular Cholesterol Oxidase with High Activity in the Presence of Organic Solvents from Pseudomonas sp. Strain ST-200

ABSTRACT Extracellular cholesterol oxidase of Pseudomonas sp. strain ST-200 was purified from the culture supernatant. This oxidase contained bound flavin and was categorized as a 3β-hydroxysteroid oxidase, converting 3β-hydroxyl groups to keto groups. The molecular mass was 60 kDa. The enzyme was stable at pH 4 to 11 and active at pH 5.0 to 8.5, showing optimal activity at pH 7 at 60°C. The Michaelis constant of the ST-200 cholesterol oxidase was lower than those of commercially available oxidases. The cholesterol oxidation rate was enhanced 3- to 3.5-fold in the presence of organic solvents, with log Pow values (partition coefficients of the organic solvent betweenn-octanol and water), in the range of 2.1 to 4.2, compared with that in the absence of organic solvents.
ConsPred: a rule-based (re-)annotation framework for prokaryotic genomes

MOTIVATION The rapidly growing number of available prokaryotic genome sequences requires fully automated and high-quality software solutions for their initial and re-annotation. Here we present ConsPred, a prokaryotic genome annotation framework that performs intrinsic gene predictions, homology searches, predictions of non-coding genes as well as CRISPR repeats and integrates all evidence into a consensus annotation. ConsPred achieves comprehensive, high-quality annotations based on rules and priorities, similar to decision-making in manual curation and avoids conflicting predictions. Parameters controlling the annotation process are configurable by the user. ConsPred has been used in the institutions of the authors for longer than 5 years and can easily be extended and adapted to specific needs. SUMMARY The ConsPred algorithm for producing a consensus from the varying scores of multiple gene prediction programs approaches manual curation in accuracy. Its rule-based approach for choosing final predictions avoids overriding previous manual curations. AVAILABILITY AND IMPLEMENTATION ConsPred is implemented in Java, Perl and Shell and is freely available under the Creative Commons license as a stand-alone in-house pipeline or as an Amazon Machine Image for cloud computing, see https://sourceforge.net/projects/conspred/. CONTACT thomas.rattei@univie.ac. atSupplementary information: Supplementary data are available at Bioinformatics online.
Accurate mobility modeling and location prediction based on pattern analysis of handover series in mobile networks

The efficient dimensioning of cellular wireless access networks depends highly on the accuracy of the underlying mathematical models of user distribution and traffic estimations. The optimal placement/deployment of e.g. UMTS, IEEE 802.16 WiMAX base stations or IEEE 802.11 WLAN access points is based on user distribution and traffic characteristics in the service area. In this paper we focus on the tradeoff between the accuracy and the complexity of the mathematical models used to describe user movements in the network. We propose a novel Markov chain based model capable of utilizing user's movement history thus providing more accurate results than other models in the literature. The new model is applicable in real-life scenarios, because it relies on information effectively available in cellular networks (e.g. handover history). The complexity of the proposed model is analyzed, and the accuracy is justified by means of simulation.
An Algorithm for Combined Cell-Site Selection and Power Control to Maximize Cellular Spread Spectrum Capacity (Invited Paper)

There is much current interest in spread spectrum wireless mobile communications and in particular the issue of spread spectrum wireless capacity. We characterize spread spectrum cellular capacity and provide a combined power control, cell-site selection algorithm that enables this capacity to be achieved. The algorithm adapts users' transmitter power levels and switches them between cell-sites, and it is shown that the algorithm converges to an allocation of users to cells that is optimal in the sense that interference is minimized. The algorithm is decentralized, and can be considered as a mechanism for cell-site diversity and handover. We provide numerical examples to show how effectively the algorithm relieves local network congestion, by switching users in a heavily congested cell to adjacent, less congested cells. >
La performance et la sous-évaluation des introductions en bourse : étude des déterminants et des effets de la cotation sur le marché Euronext Paris

Au cours de cette these, nous presenterons les effets de l'introduction en bourse de titres appartenant au secteur technologique. Exploration qui porte sur la periode 1997 - 2008 selon un positionnement theorique puis un developpement des hypotheses. Nous conclurons par la validation empirique de nos echantillons. Les methodes les plus usuelles seront exploitees quant a la detection des rendements a long terme, temps evenementiels ou calendaire, tout en prenant en compte la sensibilite des modes de calcul de la performance et methodes d'evaluation des rendements attendus dans l'obtention et analyse des resultats. Ces derniers, reflet de problemes statistiques, seront des lors, soumis aux solutions preconisees dans la litterature scientifique. Aussi, compte tenu des specificites du marche francais, nous nous appuierons sur le modele a trois facteurs de Fama & French, demonstration par le resultat selon le coefficient beta, de valeurs de constante presque nulles et non significatives y compris sur les rendements excedentaires. Enfin, sera souligne le declin des performances operationnelles des firmes sur le marche Euronext Paris selon un portefeuilles de reference. Phenomene du a une fenetre d'opportunite lors de l'introduction en bourse coincidant avec un pic de performance (rentabilite economique et taux de marge economique) en periode de pre-cotation. Ajoutons a cette cotation souvent accompagnee d'une forte croissance, une restructuration du bilan se traduisant par une baisse du taux d'endettement.
Architecture for building hybrid kernel-user space virtual network functions

Network Function Virtualization (NFV) is one of the important aspects of modern network architecture. NFV decouples Network Functions (NFs) from hardware, therefore produces Virtual Network Functions (VNFs) that can run on standard, commodity servers, which in turn mostly run Linux kernel. In this paper, we propose a general architecture for building hybrid kernel-user space VNFs which leverages extended Berkeley Packet Filter (eBPF). eBPF is a framework in Linux kernel that enables network programmability inside kernel for optimal performance. However, the programmability of eBPF is limited due to safety and security of the kernel. Our proposed architecture applies hybrid approach: leave the simple work inside the kernel with eBPF and let complex work be processed in the user space. This architecture allows building complex VNFs to have both speed and flexibility. To demonstrate, we use the proposed architecture to build two VNFs: Dynamic Load Balancer and Deep Packet Inspection with Dynamic Sniffing. The evaluation results show that both VNFs significantly outperform the widely used solutions.
Targeted Genome Editing Across Species Using ZFNs and TALENs

Engineered nucleases target specific DNA sequences for gene disruption in nonmodel organisms. Evolutionary studies necessary to dissect diverse biological processes have been limited by the lack of reverse genetic approaches in most organisms with sequenced genomes. We established a broadly applicable strategy using zinc finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) for targeted disruption of endogenous genes and cis-acting regulatory elements in diverged nematode species.
Expression of recombination-activating gene in mature peripheral T cells in Peyer's patch.

Recombination-activating gene (RAG) 1 and 2 are essential for the gene rearrangement of antigen receptors of both T and B cells. To investigate RAG gene expression in peripheral lymphoid organs other than the thymus and bone marrow, we established mice in which a green fluorescent protein (GFP) gene is knocked-in the RAG2 gene locus (RAG2-GFP mice). In the thymus and bone marrow of heterozygous RAG2-GFP mice, as expected, GFP expression was detected in the appropriate stages of developing T and B cells. Interestingly, only a fraction of Thy-1.2(+) cells in the Peyer's patch were found to be GFP(+) amongst the peripheral lymphoid organs. The GFP(+) cells expressed high levels of surface TCRbeta and CD3, suggesting mature T cells with rearranged TCRalphabeta. However, they showed activated/memory phenotypes, i.e. CD45RB(low), CD69(high), CD44(high) and CD62L(low), and belonged to a CD4(+)CD8(+) population expressing c-kit, IL-7R and pTalpha characteristic of immature developing lymphocytes. Moreover, RAG(+) Peyer's patch T cells seem to be of thymic origin as judged by their expression of CD8alphabeta. These results show that there exists a fraction of mature T cells expressing RAG genes in the Peyer's patch, implying a potential for a secondary rearrangement of TCR in extrathymic tissues.
Polarity Detection at Sentence Level

Opinions bear a very important place in the life of human beings. Human Beings are always surrounded by opinions, when a decision has to be taken; people always want to know the opinions of others. But as the impact of the web is increasing day by day, Web documents can be seen as a new source of opinions for the people. Large numbers of reviews are available on the Web related to every product. Whenever a customer buys any product, they express their feedbacks as opinions on the e-commerce website, thus it is very important to automatically analyze the huge amount of information on the web and develop methods to automatically classify the reviews. Opinion Mining or Sentiment Analysis is the mining of attitudes, opinions, and emotions automatically from text, speech, and database sources through Natural Language Processing (NLP). In this paper an opinion mining system is proposed using unsupervised technique to determine the polarity of sentences i.e. to classify the sentences as positive, negative or neutral. Negation is also handled in the proposed system. Experimental results using reviews of products show the effectiveness of the system.
Pramipexole in the treatment of advanced Parkinson’s disease

Pramipexole is a novel nonergoline dopamine agonist with a preference for the dopamine D3 receptor subtype. Its efficacy and safety in the treatment of advanced Parkinson’s disease has been investigated in several clinical studies. This review provides a summary of the data currently available, particularly in reference to the recent results of the European clinical phase III study and the potential tremorlytic activity of pramipexole. Interim analysis of the open‐label European clinical phase III study has provided evidence of long‐term efficacy and safety of pramipexole. In another study pramipexole has been shown to be significantly superior to placebo with an improvement in tremor score by 48% (vs. 13% in the placebo group). In addition to its likely usefulness in the treatment of rest tremor in Parkinson’s disease, data suggest that pramipexole is of interest due to its reported low frequency of cardiovascular and gastrointestinal side‐effects. However, studies comparing pramipexole with other antiparkinsonian agents would be useful to further define its benefits in the treatment of tremor‐dominant Parkinson’s disease and to further document its favourable adverse event profile.
Sparse Modeling with Applications to Speech Processing: A Survey

Nowadays, there has been a growing interest in the study of sparse approximation of signals. Using an over-complete dictionary consisting of prototype signals or atoms, signals are described by sparse linear combinations of these atoms. Applications that use sparse representation are many and include compression, source separation, enhancement, and regularization in inverse problems, feature extraction, and more. This article introduces a literature review of sparse coding applications in the field of speech processing.
BIS / BAS and College Alcohol Use : Motivation , Consequences , and Attention

College drinking is associated with adverse consequences. Motives for alcohol use and attention to alcohol-stimuli may relate to Gray’s (1981) two-factor model of personality (i.e., the Behavioral Activation System (BAS) and Behavioral Inhibition System (BIS)). In study one, 41 male participants were administered measures of BIS/BAS, drinking motives, alcohol-related consequences, and an alcohol addictive-Stroop task. In study two, 26 male participants were administered measures of BIS/BAS, drinking frequency/quantity, and an alcohol dot-probe task. High BAS sensitivity predicted increased alcohol use, alcohol-related consequences, drinking for social and enhancement motives, and attention to alcohol-related stimuli. The BAS may have important implications for reducing drinking behavior in college students.
Trapping and imaging of micron‐sized embryos using dielectrophoresis

Development of dielectrophoretic (DEP) arrays for real‐time imaging of embryonic organisms is described. Microelectrode arrays were used for trapping both embryonated eggs and larval stages of Antarctic nematode Panagrolaimus davidi. Ellipsoid single‐shell model was also applied to study the interactions between DEP fields and developing multicellular organisms. This work provides proof‐of‐concept application of chip‐based technologies for the analysis of individual embryos trapped under DEP force.
Effect of disinfection upon dissolved organic carbon (DOC) in wastewater: bacterial bioassays

Quantitative and qualitative changes in organic matter content of wastewater effluents attributable to chlorination and ozonation have been analysed using bioassays as well as organic carbon direct measures. Bioassays were carried out using the bacterial populations of wastewater and two Escherichia coli strains as test micro‐organisms. Our results indicate that pure strains present some advantages over indigenous bacteria. Although wastewater bacterial populations are better adapted to growth in wastewater, E. coli strains are more sensitive to changes in dissolved organic carbon (DOC) content. Moreover, the use of pure cultures allows estimation of the portion of DOC which can be converted in cell biomass, the assimilable organic carbon (AOC). Finally, the results obtained using prototrophic and the auxotrophic strains of E. coli suggested that ozonation alters the amino acid composition of wastewater while chlorination does not change the quantity nor the quality of the DOC present in effluents.
On the Sum Rate of BICM-ID Transmission Over Vector-Perturbation Precoding in Multiuser Downlink

This paper proposes a channel code for vector perturbation (VP) precoded transmission in multiuser downlink and examines its achievable sum-rate performance. In particular, we first find the most suitable outer convolutional code (CC) for VP precoded transmission under bit-interleaved coded modulation with iterative decoding (BICM-ID) by applying a semi-analytic technique based on extrinsic information transfer charts. We then study the achievable sum rate of the proposed BICM-ID-based VP precoded system, and we compare it with the sum capacity of the dirty paper coding (DPC) scheme. Our investigation shows that under perfect channel state information (CSI), the sum rate of the proposed system grows linearly over the number of users, which is the same growth of the DPC. Under quantized CSI and finite-rate feedback, a linear increase in feedback overhead per user is necessary to maintain such a linear sum-rate growth.
LINGUISTIC PROCESSES IN THE INDEXING AND RETRIEVAL OF DOCUMENTS

For the storage and retrieval of documents in a library or other depository many kinds of clerical and intellectual operations are performed by librarians and by library users. Some of these are purely routine and are done almost ‘mechanically’ but others are highly complex and require intelligent application. The complex processes concerned with the indexing of documents for their subject content and the searching of index files from the subject approach may be represented as follows:
Recovery of linear and nonlinear heart rate dynamics after coronary artery bypass grafting surgery

Conventional coronary artery bypass grafting (C‐CABG) and off‐pump CABG (OPCAB) surgery may produce different patients’ outcomes, including the extent of cardiac autonomic (CA) imbalance. The beneficial effects of an exercise‐based inpatient programme on heart rate variability (HRV) for C‐CABG patients have already been demonstrated by our group. However, there are no studies about the impact of a cardiac rehabilitation (CR) on HRV behaviour after OPCAB. The aim of this study is to compare the influence of both operative techniques on HRV pattern following CR in the postoperative (PO) period.
Novel quinonyl derivatives of muramyl dipeptide possessing potent antitumor activity.

Three novel quinonyl muramyldipeptides, 2-{2-acetamido-2-deoxy-6-O-[10-(2, 3-dimethoxy-5-methyl-1, 4-benzoquinon-6-yl) decanoyl]-D-glucopyranos-3-O-yl}-D-propionyl-L-valyl-D-isoglutamine methyl ester (1a) and its Ser and Thr analogues (1b and 1c), were synthesized and their antitumor effects on the suppression of tumor growth in syngeneic mice were assayed. Among these compounds, 1a showed the most potent antitumor activity.
Could Fresh Human Tissues Play a Key Role in Drug Development?

Biopta was founded in 2002, to provide human tissue-based drug development and testing services to the pharmaceutical industry. Although animal tissues are readily available and are relatively inexpensive, they frequently fail to faithfully predict the results seen in the clinic. Human tissues can provide integrated responses to test drugs in a manner more representative than individual cell types or cell lines alone, and more-directly relevant to the species of interest — Homo sapiens. In order to expand the use of human tissues, however, an improved infrastructure for the collection and distribution of fresh, functional tissues is highly desirable. Moreover, where there is the potential to obtain tissue from various locations, it becomes possible to test tissue that is specific to the site of drug activity. This is important, as differences may occur between the same tissue types in different locations in the body. The detection of adverse effects is greatly helped by knowledge of how existing drugs behave in the human body. These drugs can act as reference compounds, so that new compounds can then be compared, by using standard concentration–response type studies, in a huge variety of tissues, and their effects extrapolated from what is known of the reference compounds.