Miracle-dz/UniFAR-FTUs huggingface dataset:
HA 03 as an Iranian Candidate Concealed Antigen for Vaccination against Hyalomma anatolicum anatolicum : Comparative Structural and In silico Studies

In the last decades researchers had focused on developing a vaccine against tick based on protective antigen. Recombinant vaccines based on concealed antigen from Boophilus microplus have been developed in Australia and Cuba by the name of TICKGARD and GAVAC (De La Fuente and Kocan, 2006). Further studies on this antigen have shown some extent of protection against other species (De Vos et al., 2001). In Iran most important species is Hyalomma anatolicum and limited information about its control are available. This paper reports structural and polymorphic analysis of HA03 as an Iranian candidate concealed antigen of H. a. anatolicum deposited in Gen-Bank . (Aghaeipour et al. GQ228820). The comparison between this antigen and other mid gut concealed antigen that their characteristics are available in GenBank showed there are high rate of similarity between them. The HA03 amino acid sequence had a homology of around 89%, 64%, 56% with HA98, BM86, BM95 respectively. Potential of MHC class I and II binding region indicated a considerable variation between BM86 antigen and its efficiency against Iranian H. a. anatolicum. In addition, predicted major of hydrophobisity and similarity in N-glycosylation besides large amount of cystein and seven EGF like regions presented in protein structure revealed that value of HA03 as a new protective antigen and the necessity of the development, BM86 homolog of H. a. anatolicum HA03 based recombinant vaccine.
FlashReport Appearance-based politics : Sex-typed facial cues communicate political party af fi liation ☆

► We examine the influence of appearance-based cues on judgments of party affiliation. ► We find that facial cues associated with political party affiliation are sex-typed. ► Female Republicans are significantly more sex-typical than female Democrats. ► Accuracy of party judgments varies by sex-typicality and politician party. ► Facial sex-typicality mediates the influence of politician sex and party on perceiver party judgments.
Simulation and optimization of a 6H-SiC metal-semiconductor-metal ultraviolet photodetector

Based on thermionic emission theory, a model of a 6H-SiC metal–semiconductor–metal (MSM) ultraviolet photodetector is established with the simulation package ISE-TCAD. A device with 3 μm electrode width (W) and 3 μm electrode spacing (L) is simulated. The findings show that the MSM photodetector has quite a low dark current of 15 pA at 10 V bias and the photocurrent is two orders of magnitude higher than the dark current. The influences of different structures on dark and illuminated current–voltage characteristics of the MSM photodetector are investigated to optimize the device parameters. Simulation results indicate that the maximum photocurrent and the highest ratio of photocurrent to dark current at 15 V bias are 5.3 nA and 327 with device parameters of W = 6 μm, L = 3 μm and W = 3 μm, L = 6 μm, respectively.
Action learning comes of age ‐ part 2: action learning for whom?

Examines recent changes in further education colleges and colleges’ greater responsiveness to the needs of employers and students. Explores the development of a model of responsiveness, the main ways in which responsiveness is changing and future directions for colleges. Concludes that colleges’ responsiveness to employer needs will continue to be influenced by financial and commercial decisions, and the needs of wider communities.
Integrated Model and Compensation of Thermal Errors of Silicon Microelectromechanical Gyroscope

Based on the thermal interferential moment, the dynamic thermal error induced by accelerations of a microelectromechanical system (MEMS) gyroscope is analyzed. The electromechanical-thermal error is discussed. The integrated thermal error compensation method considering the electromechanical-thermal error and the dynamic thermal error induced by accelerations is proposed. The experimental results show that the bias temperature sensitivity is reduced by more than one order of magnitude compared with the raw bias temperature sensitivity of the gyroscope. The integrated compensation method is reasonable and effective in the temperature error compensation of the MEMS gyroscope and outperforms the classical compensation method in performance.
FACTS for grid integration of wind power

Integrating renewables into grids to any considerable degree can expose the system to issues that need attention lest the functionality of the grid be impaired. Such issues can be voltage fluctuations, frequency deviations, and deterioration of power quality. By utilization of FACTS devices such as SVC, STATCOM, and Series Capacitors, grid function can be maintained and even improved, enabling increased power transmission capacity over existing lines. Renewable power such as wind and solar can then be accommodated in the grid without any need for building new lines. Dynamic Energy Storage, a newcomer to the FACTS family, offers additional possibilities such as back-up for renewable generation, storage of renewable energy for release during periods of higher demand, and area frequency regulation. The paper offers some salient design features of FACTS, as well as highlights a few current cases where FACTS devices are put to use to enable or improve grid integration of renewable energy sources.
Measurement uncertainty in the presence of low-frequency noise

We discuss the measurement uncertainty in the presence of different types of fundamental noise processes, especially 1/f noise. The treatment is based on the Allan variance of an n-sample average with two deadtime parameters relevant in metrology. Some results applicable to situations that are common in metrology, e.g., international comparisons, are derived. Experimentally, the output of Zener voltage standards in the frequency range from 10/sup -6/ Hz to 10/sup 3/ Hz is studied and behavior closely resembling that of 1/f noise is found at all time scales of practical interest. The noise floor of a 10 V Zener standard was found to be 60 nV and the 1/f corner frequency 3.5 Hz. Environmental variations cause the long-term (>100 s) deviations of the Zener voltage to slightly increase from the limiting 1/f noise level.
Molecular Docking an Enchanted Way in The Discovery of Novel Molecule in Designing Drug: A Focused Review

Current review paper revolves around the method of molecular docking. It involves regarding the basics of the docking studies. It also focused on the biological and pharmaceutical significance of the molecular docking, considerable efforts have been directed towards improving the methods used to predict docking. There is general concept about molecular docking is lock and key in which the finding is correct relative orientation of the key which can best fitted into the lock and then the lock can be open easily. How the accurate structure can be designed and what are the correct activities are predicted are the main two aims of the docking studies are preferred in the given studies and some examples are also added within the review for the evidence which supports the importance of docking studies. Received: 11-122017 Revised: 28-12-2017 Accepted: 14-01-2018 *Correspondence to: Dr. Rohit Mohan, PhD Email: vatsgaurav880@gmail.com Funding: Nil Competing Interests: None
Forced Vibration Analysis of Flexible Euler-Bernoulli Beams with

This paper presents a novel framework for forced motion analysis of Euler-Bernoulli beam with multiple jumped discontinuities in the cross section. In this regard, the entire length of beam is partitioned into uniform segments between any two successive discontinuity points. Beam characteristics matrix can be derived based on the boundary conditions and the continuity conditions applied at the partitioned points. This matrix is particularly used to find beam natural frequencies and mode shapes. The governing ODE of motion and its state-space representation are then derived for the beam under a distributed dynamic loading condition. To clarify the implementation of the proposed method, a beam with two stepped discontinuities in the cross section is studied, and numerical simulations are provided to demonstrate the mode shapes and frequency response of beam for different stepped values. Results indicate that the added mass and stiffness significantly affects the mode shapes and natural frequencies.
PARTICLE SEPARATION VIA ADJUSTABLE VELOCITY PROFILE GENERATED BY EOF AND PRESSURE DRIVEN FLOW

This paper presents an experimental investigation of the effect of velocity profile on the particle separation. Electroosmosis flow (EOF) and pressure driven flow are combined to adjust the velocity profile arbitrarily. Compared with the previous studies on the interface position, this paper finds out that the velocity profile contributes more significantly to the separation performance. In addition, the experimental results show that the velocity profile with higher velocity gradient has better separation performance. The whole design features simple manipulation, high stability and high separation performance, making it promising for particle separation applications.
Distributed Control of a Nanogrid Using DC Bus Signalling

A nanogrid is a standalone hybrid renewable system that uses distributed renewable and non-renewable sources to supply power to local loads. The system is based on power electronics, with interface converters allowing the sources to supply power to the system and the loads to draw power from the system. The nanogrid is typically designed such that renewable sources supply the average load demand, while storage and non-renewable generation are used to ensure that the loads enjoy a continuous supply of power in the presence of the stochastic renewable sources. To maintain the power balance in the system while maximising use of the renewable sources, all sources in the system are scheduled according to a supply-side control law. The renewable sources are used wherever possible and the storage is operated as a slack power bus. The storage is controlled to absorb any excess power from the renewable sources and release it to the system when necessary. The non-renewable generation is only brought online when the storage and renewable sources are incapable of balancing the load demand. While the primary method for maintaining the power balance in the nanogrid is scheduling the sources according to a supply-side control law, a demand-side control law may also be used to help maintain the power balance in the system or protect the system from a complete collapse under overload conditions. A demand-side control strategy is implemented by shedding loads when the load exceeds the available generation, beginning with those loads having the lowest utilisation priority. Hybrid renewable systems are typically designed and controlled in a similar manner to the traditional ac power system, operating at 50/60 Hz, and maintaining the power balance in the system using frequency droop for power sharing and central coordination for scheduling the sources. However a nanogrid has different components compared to the ac system, employing power electronic converters to interface the sources and loads to the system. The control flexibility afforded by the use of power electronic interface converters opens
Studies on a DNA double helicoidal structure immersed in viscous bio-fluid

The paper aims at extending, utilising and generalising research in nonlinear dynamics of (i) spiral/helicoidal structures, and (ii) viscous, low speed fluid to biomechanical DNA fluid-structure interaction. Employing a nonlinear helicoidal model, the energy stored in a distorted Watson-Crick DNA model subjected to viscous, low speed organic fluid loading is examined. An efficient recursive numerical scheme based on the variational principle is presented. Significant dynamical responses such as energy distribution, bending and twisting of DNA model under organic fluid excitations are discussed. Matching of DNA sequential characteristics with respect to the nonlinear dynamical responses is outlined in order to reveal information regarding DNA sequencing by means of a fluid-structure dynamical approach.
Model-based compressive sensing with Earth Mover's Distance constraints

In compressive sensing, we want to recover a k-sparse signal x ∈ R from linear measurements of the form y = Φx, where Φ ∈ Rm×n describes the measurement process. Standard results in compressive sensing show that it is possible to exactly recover the signal x from only m = O(k log n k ) measurements for certain types of matrices. Model-based compressive sensing reduces the number of measurements even further by limiting the supports of x to a subset of the ( n k ) possible supports. Such a family of supports is called a structured sparsity model. In this thesis, we introduce a structured sparsity model for two-dimensional signals that have similar support in neighboring columns. We quantify the change in support between neighboring columns with the Earth Mover’s Distance (EMD), which measures both how many elements of the support change and how far the supported elements move. We prove that for a reasonable limit on the EMD between adjacent columns, we can recover signals in our model from only O(k log log k w ) measurements, where w is the width of the signal. This is an asymptotic improvement over the O(k log n k ) bound in standard compressive sensing. While developing the algorithmic tools for our proposed structured sparsity model, we also extend the model-based compressed sensing framework. In order to use a structured sparsity model in compressive sensing, we need a model projection algorithm that, given an arbitrary signal x, returns the best approximation in the model. We relax this constraint and develop a variant of IHT, an existing sparse recovery algorithm, that works with approximate model projection algorithms. Thesis Supervisor: Piotr Indyk Title: Professor of Computer Science and Engineering
Factor X for Subtle Policy-Making Objectives, Potentials and Obstacles

We have studied the Factor X concept through an imagined future lens provided by a framework of basic principles for sustainability for the whole ecosphere. From such a backcasting perspective, three areas seem to be of particular importance when it comes to an application of the Factor X concept for sustainable development: 1. A sufficiently large perspective. The Factor X concept should encourage policymakers to think big in terms of resource productivity gains. At the same time, it should avoid the ‘technical fix’ trap, by continuously relating various flows to social as well as ecological aspects of sustainability in the whole ecosphere. 2. Qualitative aspects. The factor by which a certain flow needs to be reduced to stay within the assimilation capacity of the ecosystems differs widely depending on what flows we study. Still other aspects of sustainability are not quantitative at all, and need other indicators. 3. Dynamic aspects. In order to reduce certain flows, other flows may need to be increased. Rebound effects create a similar problem. A certain flow within a system may increase as a rebound effect to reduced flows within a subsystem. It is important to look at the environmental consequences for secondary flows in a dynamic way, and to always consider sustainability regarding all flows as the objective.
Aspects of pretreated hospital waste biodegradation in landfills

This research investigates the environment impacts of hospital waste pretreatment residues under landfill conditions. Two techniques - incineration and sterilization - to treat hospital waste were taken into concern. The biodegradability of sterilized hospital waste and leaching behavior of hospital waste incineration ash were investigated, as well as co-dispoal hospital waste pretreatment residues with municipal solid waste. With the research results, a novel approach to treat hospital waste pretreatment residues were concluded.
Holistic Assessment of Carbon Capture and Utilization Value Chains

Carbon capture and utilization (CCU) is recognized by the European Union, along with carbon, capture and storage (CCS), as one of the main tools towards global warming mitigation. It has, thus, been extensively studied by various researchers around the world. The majority of the papers published so far focus on the individual stages of a CCU value chain (carbon capture, separation, purification, transportation, and transformation/utilization). However, a holistic approach, taking into account the matching and the interaction between these stages, is also necessary in order to optimize and develop technically and economically feasible CCU value chains. The objective of this contribution is to present the most important studies that are related to the individual stages of CCU and to perform a critical review of the major existing methods, algorithms and tools that focus on the simulation or optimization of CCU value chains. The key research gaps will be identified and examined in order to lay the foundation for the development of a methodology towards the holistic assessment of CCU value chains.
Tracking Theory for Preventive Safety Systems

Preventive safety systems rely on accurate information from a sensing system regarding the current traffic situation to make decision whether to inform, warn or intervene to avoid an impeding collision or to mitigate its consequences. This thesis mainly considers tracking algorithms to enhance these systems through making the best use of the information supplied by on-vehicle sensors, such as radar and vision sensors. In this thesis we propose a sensor data fusion framework to support the utilization of information about the current traffic scene provided by several sensors. This framework is based on a modular approach, enabling the exchange of sensors and tracking components with relative ease. Furthermore, it considers many of the practical aspects that arise when designing a real-time fusion system. For this type of system to fully utilize the information provided by the sensors, two kinds of probabilistic models are needed, i.e. motion models and sensor models. Here, we present contributions to the design of both of these. Research show that radar signals are more likely to be reflected in certain specific structures on a vehicle, such as headlight cavities and wheel housings. By associating radar detections to these specific structures accurate information can be extracted regarding , e.g vehicle position and orientation. We present a radar sensor model family that is able to exploit this added information to improve the tracking performance. Furthermore, we propose a vehicle motion model framework to accurately describe the motion of a vehicle by including the expected driver control input into the model. The proposed framework not only enables more accurate predictions but also offers a formal treatment of the model uncertainties. The latter is a very useful property when applying the framework in a tracking algorithm. Additionally, aspects of integrating several preventive safety systems in a vehicle are investigated in terms of not overloading the driver with too much information and warnings. To reduce the stress for the driver we propose arbitration and prioritization schemes for those situations when multiple warning systems require the attention of the driver.
Performance modelling and simulation of the Mobile Cloud Network

The Mobile Cloud Network is an emerging distributed cloud infrastructure paradigm that attempts to accommodate the evolution of application’s execution paradigms and how content is distributed. The Mobile Cloud Network employs a distributed cloud infrastructure with data centres of varying capacity, embedded in the core and access networks. Resources are thinned over the network and arguably decay in capacity to- wards the capillaries of the network. For an operator of such an infrastructure, cost and infrastructure integrity is their primary concern. Although these aspirations seem triv- ial, achieving them in a highly dynamic and heterogeneous distributed infrastructure, successfully at scale is non trivial. In this work, we have focused on modelling the dy- namics of the Mobile Cloud Network infrastructure and what methods the operator of a Mobile Cloud Network can employ to minimise the cost of operating the infrastruc- ture. The reduced parameter model, reveals the non-linear nature of the Mobile Cloud Network. The system’s performance is evaluated using a cost function that encom- passes the cost of executing the applications, the cost of the incurred link usage, and the expected performance of the application. Furthermore, simulations reveal that the proposed methods can achieve near optimal placement at reduced time-complexity. (Less)
Symbol Erasure Correction in Random Networks With Spread Codes

We consider data transmission over a network where each edge is an erasure channel and the inner nodes transmit the random linear combinations of their incoming information. We distinguish two channel models in this setting: the row and the column erasure channel model. For both models, we investigate spread codes and determine their symbol erasure correction capability and the probability of decoding success. We also compare the performance of spread codes to other known codes suitable for those models. Furthermore, we explain how to decode these codes in the two channel models and compare the decoding complexities. The results show that depending on the application and the to-be-optimized aspect, any combination of codes and channel models can be the best choice.
Malware tolerance: distributing trust over multiple devices

Current security solutions try to keep the adversary out of the computer infrastructure. However, with zero-day exploits and certain rootkit attacks, the assumption that attacks can be blocked does not hold any more. This work presents the concept of malware tolerance accepting that every device might be compromised at some point in time. The concept aims to distribute trust over several devices so that no single device is able to compromise security features by itself. I create three malware-tolerant techniques to demonstrate the feasibility of the concept. This thesis introduces a trusted input system which delivers keystrokes securely from the keyboard to a recipient even if one of its components is compromised. The second approach is the design of a self-healing Industrial Control System, a sensor-actuator network to securely control a physical system. If an adversary manages to compromise one of the components, it remains secure and can even recover from attacks. Lastly, this thesis proposes a mesh network architecture aimed at smart-home networks without assuming any device in the network invulnerable to attacks applying isolation mechanisms to otherwise flat mesh networks. This thesis gives formal security proofs with protocol verifier ProVerif. The proof scripts are open-source.
Signal Detection From Lévy Noise via Stochastic Resonance

The signal detection using stochastic resonance(SR) on the condition of Levy noise is discussed,which is different from that on the condition of Gauss white noise.The method of producing Levy noise is introduced,and the way of solving bi-stable system model with Levy noise is presented,then the power spectrum of the output of bi-stable system is analyzed.From the analysis of the output of bi-stable system,it demonstrates that SR also occurs with help of Levy noise and the signal information can be detected from Levy noise.The simulation result shows that SR can be used to detect signal from Levy noise and lays a solid foundation for it.