Miracle-dz/UniFAR-FTUs huggingface dataset:
Epstein-Barr virus latency in blood mononuclear cells: analysis of viral gene transcription during primary infection and in the carrier state

Epstein-Barr virus (EBV) can display different forms of latent infection in B-cell lines in vitro; however, the types of infection normally established by the virus in vivo remain largely unexplored. Here we have approached this question by analyzing the types of viral RNAs present in mononuclear cells freshly isolated from the blood of 14 infectious mononucleosis patients undergoing primary EBV infection and 6 long-term virus carriers. Reverse transcription-PCR amplifications were carried out with a panel of oligonucleotide primers and probes which specifically detect (i) the EBER1 RNA common to all forms of latency, (ii) transcripts either from the Cp and Wp promoters generating all six nuclear antigen (EBNA1, -2, -3A, -3B, -3C, -LP) mRNAs or from the Fp promoter generating a uniquely spliced EBNA1 mRNA, (iii) the latent membrane protein (LMP1 and 2A) mRNAs, and (iv) the BZLF1 mRNA, an immediate-early marker of lytic cycle. Viral transcription in infectious mononucleosis mononuclear cells (and in the B-cell-enriched fraction) regularly included the full spectrum of latent RNAs seen during EBV-induced B-cell growth transformation in vitro, i.e., EBER1, Cp/Wp-initiated EBNA mRNAs, and LMP1/LMP2 mRNAs, in the absence of lytic BZLF1 transcripts. In addition, transcripts with the splice pattern of Fp-initiated EBNA1 mRNA, hitherto seen only in vivo in certain EBV-positive tumors, were frequently detected. In long-term virus carriers, the mononuclear cells were again positive for latent (EBER1) and negative for lytic (BZLF1) markers; Cp/Wp-initiated RNAs were not detected in these samples, but in several individuals it was possible to amplify both Fp-initiated EBNA1 mRNA and LMP2A mRNA signals. We suggest (i) that primary infection is associated with a transient virus-driven expansion of the infected B-cell pool through a program of virus gene expression like that seen in in vitro-transformed cells and (ii) that long-term virus carriage is associated with a switch from Cp/Wp to Fp usage and thus to a more restricted form of latent protein expression that may render the infected cells less susceptible to recognition by the virus-specific cytotoxic T-cell response.
Limit cycle oscillation of induction motor drive and control

Abstract– Open loop V/f controlled induction motor drive suffers an unfavorable sustained oscillation problem usually under light load and at low frequency, and therefore limits the applications of these drives. In this paper, a nonlinear mathematical model of IM system is set up to study the problem, so that the limit cycle oscillation of rotor speed caused by dead time of inverter is evident. Moreover, based on the aforementioned results, a discontinuous space vector DPWM3 modulate strategy is proposed through software implementation. The control of limit cycle oscillation is numerically discussed.
3 D Flexible Multibody Thin Beam simulation in Modelica with the Finite Element Method

This paper presents the development, simulation and validation of 3 dimensional flexible beam models using Modelica. The models are based on finite element method (FEM) application, following mathematical calculations proposed by Shabana [2], and are 3D extensions to the 2D model developed by F. Schiavo [3]. The element formulation is independent of applied boundary conditions, making the element suitable for any 3D multibody simulation. All models use standard connectors defined in the Modelica multibody library, thereby guaranteeing full compatibility with library components. Mathematical modelling details are fully analyzed, indicating motion equation development. Models also feature a graphical interface, and visualization of simulation outcomes using the same 3D environment as the multibody library, providing the user with immediate visual feedback. Finally, models are analyzed and validated by means of selected simulation experiments, with reference to theoretical predictions and comparison with results obtained with commercial FEM code.
Membrane protein simulations with a united-atom lipid and all-atom protein model: lipid–protein interactions, side chain transfer free energies and model proteins

We have reparameterized the dihedral parameters in a commonly used united-atom lipid force field so that they can be used with the all-atom OPLS force field for proteins implemented in the molecular dynamics simulation software GROMACS. Simulations with this new combination give stable trajectories and sensible behaviour of both lipids and protein. We have calculated the free energy of transfer of amino acid side chains between water and ‘lipid-cyclohexane’, made of lipid force field methylene groups, as a hydrophobic mimic of the membrane interior, for both the OPLS-AA and a modified OPLS-AA force field which gives better hydration free energies under simulation conditions close to those preferred for the lipid force field. The average error is 4.3 kJ mol−1 for water–‘lipid-cyclohexane’ compared to 3.2 kJ mol−1 for OPLS-AA cyclohexane and 2.4 kJ mol−1 for the modified OPLS-AA water–‘lipid-cyclohexane’. We have also investigated the effect of different methods to combine parameters between the united-atom lipid force field and the united-atom protein force field ffgmx. In a widely used combination, the strength of interactions between hydrocarbon lipid tails and proteins is significantly overestimated, causing a decrease in the area per lipid and an increase in lipid ordering. Using straight combination rules improves the results. Combined, we suggest that using OPLS-AA together with the united-atom lipid force field implemented in GROMACS is a reasonable approach to membrane protein simulations. We also suggest that using partial volume information and free energies of transfer may help to improve the parameterization of lipid–protein interactions and point out the need for accurate experimental data to validate and improve force field descriptions of such interactions.
05-03 Study on Genetic Algorithm Improvement and Application

Genetic Algorithms (GAs) are powerful tools to solve large scale design optimization problems. The research interests in GAs lie in both its theory and application. On one hand, various modifications have been made on early GAs to allow them to solve problems faster, more accurately and more reliably. On the other hand, GA is used to solve complicated design optimization problems in different applications. The study in this thesis is both theoretical and applied in nature. On the theoretical side, an improved GA—Evolution Direction Guided GA (EDG-GA) is proposed based on the analysis of Schema Theory and Building Block Hypothesis. In addition, a method is developed to study the structure of GA solution space by characterizing interactions between genes. This method is further used to determine crossover points for selective crossover. On the application side, GA is applied to generate optimal tolerance assignment plans for a series of manufacturing processes. It is shown that the optimal tolerance assignment plan achieved by GA is better than that achieved by other optimization methods such as sensitivity analysis, given comparable computation time.
Antimicrobial and Cytotoxic Effects of Macrotyloma uniflorum Extract

Context: Macrotyloma uniflorum, commonly called horse gram, is a leguminous crop. It is known to play a key role in plant defense responses with its unique characteristics. Aim: As the effect of Macrotyloma uniflorum extracts on the area of cytotoxicity is unexplored, the present work was aimed to evaluate the effect of extracts on cancer cell line and also on clinical pathogens following experimental and analytical procedures. Methods: Phytochemical and analytical studies (TLC and GC-MS) showed that Macrotyloma uniflorum is rich in different bioactive compounds. Antimicrobial activity of Macrotyloma uniflorum was also checked against nine clinical pathogens and methanol extract has shown moderate activity against most of the tested pathogens. Results: Moderate to high antioxidant and anticancer activity of Macrotyloma uniflorum extract against MG 63 cell line, has supported the fact that this crop can be used as an alternate functional food with high nutrition value.
The Potential Role of Nicotine in the Treatment of Learning and Memory Impairment after REM Sleep Deprivation

Sleep depri vation has become a contributing factor to the world’s health concerns such as cardiovascular disease, mental illness and inattentiveness in occupationand decision making. It can also disturb synaptic plasticity that can lead to learning and memory impairment. Therefore, boosting cholinergic activity using acetylcholine imitator that can be found in the tobacco plant, known as nicotine, is essential in reversing the negative influences of sleep loss in the brain. Thus, studies on the effects of nicotine treatment on molecular mechanisms and structural changes of hippocampal brain cells are vital in order to gain more understanding and to overcome the detrimental consequencesof learning and memory impairment related to sleep divest.
Latin American recommendations for the management of hypertension in adults (RELAHTA 2)

The second part of the Latin American recommendations for the management of Arterial Hypertension (HTA) in adults is presented. In a first phase, the most relevant aspects of epidemiology, physiopathological aspects, how to diagnose, therapeutic guidelines, hypertension emergencies, special populations, refractory hypertension and the application of guides in real life have been described. In this second part, recommendations are issued answering specific questions for primary, secondary, tertiary and quaternary prevention. In general, few recommendations regarding the management of arterial hypertension arise from the medical clinic / internal medicine, despite two situations: the majority of patients with hypertension are evaluated and managed by the clinicians, and the medical clinic is the specialty that allows the holistic and integrated look of the health problems in adults, allowing to add the biographical approach to the biological, to understand and interpret not only the health problem but its causes and consequences (which often correspond to different parenchyma, which in the fragmented model would make the patient move through different specialties). The low percentage of controlled hypertensive patients forces all the professionals involved in the management of them to optimize resources and detect problems that are associated with a deficit control such as the under utilization of pharmacological treatment, low rate of patients treated with combined strategy (the most patients currently receive monotherapy), lack of adequate prescription of changes in lifestyle, low therapeutic adherence and clinical inertia. This publication presents recommendations made by specialists in medical clinic/internal medicine for the management of hypertension in adults, answering primary, secondary, tertiary and quaternary prevention questions.
M. Wagner et al. — Non-Parametric Statistical Analysis of EEG/MEG Map Topographies and Source Distributions

M. Wagner, C. Ponton, R. Tech, M. Fuchs, & J. Kastner (Hamburg, Germany & Charlotte, USA) Non-Parametric Statistical Analysis of EEG/MEG Map Topographies and Source Distributions on the Epoch Level In Event-Related Potential and Event-Related Field experiments, stimuli – often of several different types – are presented repeatedly, and the subject’s brain response is recorded using Electroencephalography (EEG) or, in the ERF case, Magnetoencephalography (MEG). After removing artifacts and epoching the data, many repetitions per stimulus type are available, which are later usually averaged and compared. At this stage, though, it is no longer possible to establish whether and for which latencies the averaged waveforms are significantly different between stimulus types, nor whether the epochs for a given stimulus type yield significant averages in the first place. A statistical analysis of all individual epochs can provide exactly this information. Topographic Analysis of Variance (TANOVA) and Statistical non-Parametric Mapping performed on the results of Current Density Reconstructions (CDR SnPM) are non-parametric permutation or randomization tests which have previously been published but mainly been used to process per-subject averaged EEG data in the context of group studies. This paper describes how to apply TANOVA and CDR SnPM to individual epochs on a sample-by-sample basis, even in the context of single-subject data. A multiple comparison correction approach for the analysis of subsequent samples based on spectral properties of the data is presented. Methods are demonstrated using filtered and unfiltered simulated dipole data and data from a Continuous Performance Task (CPT) EEG experiment eliciting Mismatch Negativity. While TANOVA is able to identify latencies of significantly different map topographies, CDR SnPM extracts – per latency – the locations of significant source activation differences between stimulus types, albeit at the price of reduced overall sensitivity. Using simulated data, the proposed multiple comparison correction approach is illustrated. Significant peaks and source locations obtained for the CPT data are consistent with existing knowledge.
Quantum Conductance Manipulation of Graphene Nanoribbon Field Effect Transistor

The quantum transport characteristics of the strained graphene nanoribbon nanodevice are investigated under the effect of both ac-field of different frequencies and magnetic field. This nanodevice is modeled as follows: A graphene nanoribbon is connected to two metallic leads. These two metallic leads operate as a source and a drain. The conducting substance is the gate electrode in this threeterminal nanodevice. Another metallic gate is used to govern the electrostatics and the switching of graphene nanoribbon channel. The substances at the graphene nanoribbon/ metal contact are controlled by the back gate. The photon-assisted tunneling probability is deduced by solving the Dirac eigenvalue differential equation and the corresponding conductance is also, derived using Landauer-Buttiker formula. The band structure parameters of graphene nanoribbon as the energy gap, the C-C bond length, the hopping integral, Fermi energy and the width are modulated by uniaxial strain. Results show that the conduction mechanism through the nanodevice is enhanced by the interplay between the transport charge Dirac fermions and the photons energy of the induced ac-field. Also, according to the results obtained in the present paper that the electronic transport through the present investigated graphene nanoribbon field effect transistor occurs by variable range hopping. The present research is very important in the field nanotechnology, that is, the present graphene nanoribbon nanodevices could be applied as digital nanoelectronics, logic gates, information technology, spintronics and photodetectors. Keywords— graphene nanoribbon; nanodevice; field effect transistor; quantum conductance
GENETIC RELATIONSHIPS BETWEEN POPULATIONS OF ANDALUSIAN BOVINE LOCAL BREEDS IN DANGER OF EXTINCTION FROM THE POLYMORPHISM OF MICROSATELLITES OF

1 Department of Animal Production. Córdoba University. Campus Universitario de Rabanales. Carretera de Madrid Km, 379. 14071. Córdoba. Spain. E-mail: pa1rosee@uco.es. Department of Genetic. Córdoba University. Edificio Gregorio Mendel. Campus Universitario de Rabanales. Carretera de Madrid Km, 379. 14071. Córdoba. Spain. E-mail: Department of Animal Production. EITA. Sevilla University Carretera de Utrera, Km1. 41013 Sevilla. España
Deposited in DRO : 28 January 2015 Version of attached le : Accepted Version Peer-review status of attached le : Peer-reviewed Citation for published item

A host uses servers hired from a Cloud in order to offer certain services to paying customers. It must decide dynamically when and how many servers to hire, and when to release them, so as to minimize both the job holding costs and the server costs. Under certain assumptions, the problem can be formulated in terms of a semi-Markov decision process and the optimal hiring policy can be computed. Two situations are considered: (a) jobs are submitted in random batches and servers can be hired for arbitrary periods of time; (b) jobs arrive singly and servers must be hired for fixed periods of time. In both cases, the optimal policies are compared with some simple and easily implementable heuristics.
Rotor losses in an ultra-high speed spinning ball motor

The ongoing miniaturization trend of electric machines demands for higher rotational speeds to provide a required power level at decreased size. The goal of this project is to push the limits of miniaturization by researching new concepts for bearingless machines with ultra-high rotational speeds exceeding 25 million rotations per minute (Mrpm). The employed sub-millimeter size spherical solid steel rotors are accelerated by the principle of a solid rotor induction machine. This study presents an analysis of the resulting eddy current losses and a thermal model of the rotor. The temperature of the rotor material is of interest, as it influences the achievable rotational speed at which failure of the rotor due to centrifugal loading occurs.
A microkernel-based operating system for personal digital assistants

There are a number of projects currently underway to create a new class of computing device called a personal digital assistant (PDA). These devices are hand-held computing systems that provide a range of applications including personal productivity, connectivity, entertainment and field data collection. One of the most important problems to be solved in developing practical PDAs is to provide a reasonable operating system for the application software that runs on the PDA. We believe that previous work on a microkernel using the Mach technology (D.L. Black et al., 1992) and operating system personalities provides the best foundation for such an operating system. Our microkernel offers modularity, a message-passing programming paradigm and real time features, all of which are important in a PDA operating system. Reusing the code developed for, or to run on our microkernel on a PDA also has obvious economic benefits. However, our standard microkernel and microkernel-based products require a number of changes to make them smaller and to adapt them to the PDA environment. <<ETX>>
Title : The Role of Composition and Particle Size on the Toxicity of Wildfire Emissions JFSP PROJECT ID : 14-104-16 December 2018

1 Objectives . 1 Background . 2 Materials and Methods . 3 Biomass Combustion and Exposure System . 3 Biomass Fuel Types . 3 Tube Furnace and Cryotrap System . 3 Inhalation Exposure System . 5 Inhalation Exposure System . 6 Biomass Smoke Characterization . 6 Characteristics of Biomass Smoke . 6 Biomass Smoke Condensate Analysis . 7 Volatile Organic Carbon Analysis . 7 Lung Toxicity of Biomass Smoke Condensates in Mice and Mutagenicity Testing . 7 Experimental Animals . 7 Oropharyngeal Aspiration Exposure to Biomass Smoke PM . 8 Inhalation Exposure to Biomass Smoke . 8 Ventilatory Function Assessment . 8 Lung Toxicity Assessment . 9 Dosimetry of Inhaled Biomass Smoke PM . 9 Mutagenicity Assessment . 9 Statistical Analysis . 10 Lung and Cardiac Toxicity of Biomass Smoke in Rats . 10 Experimental Animals . 10 Inhalation Exposure to Peat Smoke . 10 Ultrasound Echocardiography . 10 Lung and Systemic Toxicity Assessment . 11 Statistical Analysis . 11
Lipidbasierte Immunmodulation beim kritisch kranken Patienten – Rolle des Fischöls in der Intensivmedizin

4/08 34 Lipide sind in der Intensivmedizin von besonderer Bedeutung. Sie werden zum einen zur Ernährung benötigt. Die aus den Fetten gewonnenen essenziellen Fettsäuren und Phospholipide werden in die Zellmembran integriert und fungieren so als Vorläufermoleküle für Lipidmediatoren. Zum anderen sind sie massgeblich bei der Antwort des Organismus auf Entzündungsreize beteiligt. Mit Entzündungszeichen reagiert das Immunsystem auf die Verletzung von Zellen oder eines Gewebeverbandes. Diese kann durch mikrobielle Pathogene wie Viren oder Bakterien oder durch chemische oder physikalische Noxen sowie durch Autoimmunreaktionen verursacht werden. Obwohl die Entzündungsreaktion für den betroffenen Organismus schmerzhaft ist, ist sie im Allgemeinen eine gesunde, heilende Antwort. Die inflammatorische Reaktion entsteht aus einer komplexen Interaktion löslicher Faktoren und Zellen (1). Schädlich für den Organismus wird sie dann, wenn die gezielte Zerstörung und Elimination von Pathogenen oder die Abräumreaktion von geschädigtem Gewebe in eine überschiessende, un-
Energy Efficient and Secure , Trusted network discovery for Wireless Sensor Networks

While routing Wireless Sensor nodes in the Multi-hop network ,nodes may undergo some attacks such as sink hole attack, worm hole attack, Sybil attack etc., by the attackers through identity deception. So, to secure WSN’s against attackers or hackers misdirecting the nodes in the network while routing, in our base paper we have designed and implemented TARF, a robust trust aware routing framework concept for dynamic for WSN’s. TARF provides trustworthy and energy-efficient route and also it provides security against all these attacks which are mentioned above. In our work, we are using modern technology like ECC i.e., Elliptic Curve Cryptography for encoding and decoding purpose. To know the performance of this TARF routing, in our paper we are comparing TARF Routing with Existing Routing and generating routing tables. To find the secure network discovery we are generating Combinatorial Key for Pre Key-Distribution in TARF Network. In the handheld devices like mobile we are trying to find the attacker information.
The Victory of Culture Games (VOC-Games): Math-Based Learning Media 3D and Augmented Reality as A Conservation Culture

The victory of Culture Games (VOC-Games) develop as mathematics learning media based on 3d and augmented reality as an effort to preserve Indonesian culture. The learning media was initiated to solve problems in mathematics learning. To increase the attractiveness and capability of learners, this learning media combined with 3D technology and augmented reality. It is packaged interactively through games and learning with a group system. VOC-Games connects between cyberspace learning/digital with the real life of learners. The concept is connected through questions that can be scanned by learners in the board game. The advantages of VOC-Games are (1) able to attract student learning, (2) with augmented reality, (3) train students' ability in intrapersonal and interpersonal, (4) emphasize on internalization of values, (5) easy to realize and developed massively, (6) varied content and (7) a fun learning model. Keywords— mathematics learning media, VOC-games, 3D, augmented reality
Principles of Exocytosis and Membrane Fusion

Abstract: Exocytosis is a ubiquitous process occurring in every eukaryotic cell including processes as diverse as membrane expansion during growth and the highly regulated release of neurotransmitter from neurons. Work during the past decade has established that exocytotic membrane fusion is mediated by members of conserved protein families including Rab proteins and SNAREs. SNAREs are probably catalyzing membrane fusion, and major progress has been made in unraveling their molecular mechanism. In contrast, less is known about regulatory mechanisms. Here, a brief overview is given about the current state of knowledge, focusing on SNAREs involved in neuronal exocytosis.