Miracle-dz/UniFAR-FTUs huggingface dataset:
Inertial Focusing and Lateral Manipulation of Particles in a Microchannel Flow

In this paper, we have developed a numerical model based on the immersed-boundary Lattice Boltzmann Method (IB-LBM) for manipulating a neutrally buoyant microparticle immersed in a fluid inside a microchannel. The fluid flow in the channel lies in the inertial regime (i.e., the effect of inertia cannot be ignored). The current work investigates the focusing of neutrally buoyant microparticles in plane Couette, and Poiseuille flows in a microchannel. The accuracy of the proposed method is first established by benchmarking the results with multiple analytical, numerical, and experimental works. A good agreement between the numerical and previously published numerical and experimental results is obtained in all the cases. The accuracy of the simulations reveals that LBM is a powerful method that can be used further to advance the relatively nascent field of inertial microfluidics.
Study of the Effect of Bragg Resonance Wave Elimination through Different Environments and Displacements

Due to the complexity of the offshore environment, the service environment of floating power platforms is still in the initial exploration stage. It is important to use effective methods to solve the stability problems of floating platforms, improve the power generation efficiency of the equipment and improve the original energy supply environment of the wave energy utilization equipment. The article investigates the effects of 2 different transmission environments (complete transmission and complete reflection) and 2 types of resonant plate arrangements (flat arrangement and V arrangement) on the resonant wave elimination effect of Bragg resonant plates. The effects of different arrangement, plate type, plate number and transmission form on transmission coefficient, focusing coefficient and focusing point were compared. The results show that the wave dissipation resonance effect of the fully transmissive V-shaped arrangement of the resonant plate is better than that of the flat arrangement of the resonant plate under the same conditions, and the transmission coefficient of the wave is smaller as the number of plates increases, while the highest point of wave height appears at the halfwavelength position in front of the plate. The completely reflective environment will produce higher order resonance in the middle of the resonant plate, which is not conducive to the stability of the device.
A Double Node Upset tolerant SR latch using C-element

In recent years, the incidence of soft errors in VLSIs has been increasing due to the miniaturization, high integration, and lower supply voltage. Soft errors are temporary errors caused by the collision of high-energy particles such as alpha particles and neutrons with the circuit. Recent studies have proposed latches that are tolerant to soft errors generated by multiple nodes due to the miniaturization of VLSI. Most of the soft error tolerant latches that have been proposed so far are for D latches, and there have been few proposals for SR latches. In this paper, we propose an SR latch with high soft-error tolerance using a feedback loop including a C-element.
Algebra, Logic and Qubits: Quantum Abacus

The canonical anticommutation relations (CAR) for fermion systems can be represented by finite-dimensional matrix algebra, but it is impossible for canonical commutation relations (CCR) for bosons. After description of more simple case with representation of CAR and (bounded) quantum computational networks via Clifford algebras in the paper are discussed CCR. For representation of the algebra it is not enough to use quantum networks with fixed number of qubits and it is more convenient to consider Turing machine with essential operation of appending new cells for description of infinite tape in finite terms --- it has straightforward generalization for quantum case, but for CCR it is necessary to work with symmetrized version of the quantum Turing machine. The system is called here quantum abacus due to understanding analogy with the ancient counting devices (abacus).
Improved Therapy Light that Invokes the Memory of Daylight

Modern work and living environments have prevented access to necessary daylight, which unfortunately leads to a disordered circadian rhythm, and eventually, depression. Therapy light that provides simulated daylight has been established as an alternative. However, such light often emits constant illumination, thereby appearing artificial rather than natural. This study presents a prototype therapy light that incorporates animated window scenes in an effort to invoke perceptual realism in addition to the physically simulated illumination of daylight.
Multi-communities Energy Sharing Management in Residential Prosumers: A Game-Theoretic Approach

Since the proliferation of renewable energy resources such as solar energy, energy sharing between residential prosumers draw great attention in smart grid research. However, most existing energy-sharing research has only focused on a single community. In this paper, we study energy sharing management for multiple residential prosumer communities facilitated the sharing process by the multi-communities energy coordinator (MCEC) and community energy coordinator (CEC). We utilize the energy cost model for the utility company to obtain the grid price. We adopt a non-cooperative game for prosumers to determine the optimal amount of energy to consume, responding to the energy sharing prices. Moreover, we integrate supply to demand ratio (SDR) pricing to calculate the energy sharing prices for the multi-communities system. The results show that the energy sharing prices of the multi-communities system are in a better range than the prices calculated by SDR model in a single community.
Larynx Object Segmentation and Indicators Generation Based on 3D VOSNet and Laryngeal Endoscopy Successive Images

Clinically, the laryngoscopy videos are often used to observe vocal folds movement and analysis larynx-related lesions preliminarily. However, there is a lack of objective larynx indicators in medicine currently. Thus, the 3D VOSNet architecture is used to extract spatial features and classify the larynx object in the sequence images of laryngoscopy. The results represent that the 3D VOSNet can accurately segment the left vocal fold, right vocal fold, and glottal, and the accuracy is 93.48%, 94.63%, and 89.91%, respectively. Finally, the self-built algorithm is utilized to calculate six measured indicators including the length, area, curvature, deviation of length and area of vocal folds, area of glottal, and symmetry of the vocal folds. Improve the effectiveness and quality of vocal fold examination by providing immediate and objective information to otolaryngologists.
MEMS Bimorph Fiber-Gripping Actuators*

We investigate mechanical tangling for adhesion of microelectromechanical systems (MEMS) to unconventional carrier materials in the assembly of stretchable electronics. Adhesion plays a crucial role in fabrication, but is a difficult task to realize even on continuous thin films of soft materials like silicone and polyimide. Adhesion becomes more challenging on discontinuous surfaces like fabric meshes, yet these substrates expand the MEMS universe to new materials, and provide new affordances like passage of electronic contacts from one side of a mesh to the other. Microgripper arrays are realized by microfabrication and release of strained metal-oxide bilayers. This paper describes a process that wraps a MEMS gripper around a conductive fiber and reverses the process using electric current to open the gripper. The gripper’s electrical resistance serves as a self-temperature sensor over the 20-500 °C range. Beyond their potential for adhering MEMS to fabrics and to flexible/stretchable substrates that are incompatible with or resistant to adhesives, these microgrippers illustrate how MEMS-based microrobots might interact with small-scale (<200 micron diameter) fibers in manipulation and locomotion activities. The key contribution of this paper over our earlier work is demonstrating the grippers’ temperature-dependent resistance, which offers a route to improved control of the gripper state.
Detection and Mitigation of Data Tampering Attacks for Cooperative ACC Systems Based on C-V2X

Cooperative adaptive cruise control (CACC) systems allow vehicles to drive in platoon formations using wireless communication. However, CACC systems are exposed to network-induced cyberattacks, such as data tampering attacks, using fake base stations. This study proposes a detection and mitigation method for data tampering attacks on CACC systems based on cellular vehicle-to-everything (C-V2X) communication. Simulations confirm that a system using the proposed method can detect and mitigate data tampering attacks by using redundant C-V2X communication paths.
Electrodermal activity: Fundamental principles, measurement, and application

Electrodermal activity (EDA) is a low-cost and nonintrusive way of monitoring the emotional state of a subject. It is also a viable gateway to study the sympathetic nervous system (SNS), which is responsible for the so-called fight-or-flight responses happening at the unconsciousness level (Boucsein, 2012).
Singularity \& Regularity Issues for Simplified Models of Turbulence

We consider a family of Leray-$\alpha$ models with periodic boundary conditions in three space dimensions. Such models are a regularization, with respect to a parameter $\theta$, of the Navier-Stokes equations. In particular, they share with the original equation (NS) the property of existence of global weak solutions. We establish an upper bound on the Hausdorff dimension of the time singular set of those weak solutions when $\theta$ is subcritical. The result is an interpolation between the bound proved by Scheffer for the Navier-Stokes equations and the regularity result proved in \cite{A01}.
Alienation Coefﬁcient and Wigner Distribution Function Based Protection Scheme for Hybrid Power System Network with Renewable Energy Penetration

: The rapid growth of grid integrated renewable energy (RE) sources resulted in development of the hybrid grids. Variable nature of RE generation resulted in problems related to the power quality (PQ), power system reliability, and adversely affects the protection relay operation. High penetration of RE to the utility grid is achieved using multi-tapped lines for integrating the wind and solar energy and also to supply loads. This created considerable challenges for power system protection. To overcome these challenges, an algorithm is introduced in this paper for providing protection to the hybrid grid with high RE penetration level. All types of fault were identiﬁed using a fault index (FI), which is based on both the voltage and current features. This FI is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). Application of the algorithm is generalized by testing the algorithm for the recognition of faults during different scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. The algorithm is successfully tested for discriminating the switching events from the faulty events. Faults were classiﬁed using the number of faulty phases recognized using FI. A ground fault index (GFI) computed using the zero sequence current-based WD-index is also introduced for differentiating double phase and double phase to ground faults. The algorithm is validated using IEEE-13 nodes test network modelled as hybrid grid by integrating wind and solar energy plants. Performance of algorithm is effectively established by comparing with the discrete wavelet transform (DWT) and Stockwell transform based protection schemes.
Managing Communication Paradigms with a Dynamic Adaptive Middleware

—Autonomous systems, such as self-driving cars, are an emerging but very complex class of systems designed to relieve people of many unpleasant tasks. However, in the industry software architectures and frameworks that have been developed for non-autonomous systems are often used for such autonomous systems. These architectures and frameworks are rigid, very close to the hardware platform and offer little room for extensions. In this paper, we present a dynamic-adaptive middleware for autonomous systems, which is based on a formal component model and supports several communication paradigms independent of the actually used communication technologies. The presented middleware has already been implemented as a prototype and tested with an electric model vehicle.
HASBE: A Hierarchical Attribute-Based Solution for Flexible and Scalable Access Control in Cloud Computing

Cloud computing has emerged as one of the most influential paradigms in the IT industry in recent years. Since this new computing technology requires users to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. Several schemes employing attribute-based encryption (ABE) have been proposed for access control of outsourced data in cloud computing; however, most of them suffer from inflexibility in implementing complex access control policies. In order to realize scalable, flexible, and fine-grained access control of outsourced data in cloud computing, in this paper, we propose hierarchical attribute-set-based encryption (HASBE) by extending ciphertext-policy attribute-set-based encryption (ASBE) with a hierarchical structure of users. The proposed scheme not only achieves scalability due to its hierarchical structure, but also inherits flexibility and fine-grained access control in supporting compound attributes of ASBE. In addition, HASBE employs multiple value assignments for access expiration time to deal with user revocation more efficiently than existing schemes. We formally prove the security of HASBE based on security of the ciphertext-policy attribute-based encryption (CP-ABE) scheme by Bethencourt and analyze its performance and computational complexity. We implement our scheme and show that it is both efficient and flexible in dealing with access control for outsourced data in cloud computing with comprehensive experiments.
Studies of Boosted Topologies and Jet Substructure at the LHC

The high centre-of mass energy available in run-2 of CERN’s Large-Hadron-Collider (LHC) results in an abundant production of heavy particles with high transverse momenta ( p T ). The boosted decay products of these high- p T particles are collimated in the laboratory system and, in case of hadronic decays, the resulting jets are merged into a single larger jet which features certain characteristics in its substructure. During the last decade, several novel techniques have been developed to study and identify these boosted hadronic decays of heavy particles at the LHC. In this article, we summarize the results of developments on boosted topologies and jet substructure as obtained in the context of the SFB 676 in Hamburg and we discuss a few example results of their application. We summarize the results in the area of boosted topologies and jet substructure obtained in the context of the SFB 676 in Hamburg. We present the concepts of the (cid:28)rst measurement of an important substructure observable, the distribution of the jet mass in highly boosted tt events as performed by the CMS collaboration, followed by an overview of the key features of the HOTVR tagging algorithm. We highlight the theoretical developments of exploiting the N -jettiness observable as a factorization and resummation friendly exclusive cone jet algorithm, and we summarize the developments of novel e(cid:27)ective (cid:28)eld theories that enable the factorization and resummation of large logarithms appearing in boosted regimes and in the jet-mass spectrum. Finally, example BSM search results of the collaboration are discussed exploiting the techniques of tagging and substructure observables.
Context-, Resource-, and User-Aware Provision of Services on Mobile Devices

—Today’s smartphones are equipped with numerous different sensors and are capable of providing a large number of diverse services. But due to the high energy consumption of built-in sensors, as well as because of the energy consumed while analyzing gathered raw data, a bottleneck in resource supply is likely to occur during a service provision. This bottleneck leads to one of the biggest challenges regarding the developments on mobile devices: the trade-off between a high short-term service performance and sustainable energy management. Furthermore, despite of numerous hardware improvements (e.g., energy saving displays, batteries with bigger capacities, etc.) this issue remains unsolved. Hence, software-based approaches can be used to optimize the resource and energy management on mobile devices according to the user’s preferences, existing context information, and the current energetic state of a device. Moreover, a holistic energy management enables the system to provide context dependent services. In this article, we present a concept for custom tailored service provision on mobile devices in combination with EMMA (Energy Management Middleware Architecture), a modular architechture for managing a mobile device’s service infrastructure in relation to its current resource state as well as to the user’s individual preferences. Additionally, we give an insight into our prototypical application, which demonstrates EMMA’s core concepts including its featured approach of individual service provision.
Stability of Long-run Relationships for Countries in Transition: A Hansen Test Study

The results of a Monte Carlo research for the Hansen Lc, MeanF and SupF stability tests for long-run relationships are reported. The tests are related to the Phillips-Hansen and Hansen semiparametric methods, which involve kernel density estimation of the long-run covariance matrix. We compare the effect of the choice of kernel on the performance of the tests, and also check the effect of misspecification of the model (lags for the disturbances) on the behaviour of test statistics, and behaviour of percentiles. The results indicate that the best – both in terms of efficiency and robustness to misspecification error – is the Parzen kernel.
International Journal of Advanced Research in Computer Science and Software Engineering

— Software Release Management is an important key technology for distributing the project/product to the customer. The key success factor of any Software Product lies in how delicately the product is released to the customer. “Release management is the process of planning, building, testing and deploying hardware and software, the version control and storage of software. There are number of approaches to estimate the software development estimation and the release planning. But there is no such approach that collects all the resources and capabilities in one shot and perform the intelligent process on it. We provide such an intelligent scheduling approach to estimate the software release by taking the inputs as initial requirement, availability and the capabilities of the resources. It will accept this data as the training set and perform decision making by analyzing the requirement and the availability of human and non human resources.
Staggered chiral perturbation theory in the two-flavor case and SU(2) analysis of the MILC data

In the light pseudoscalar sector, we study rooted staggered chiral perturbation theory in the two-flavor case. The pion mass and decay constant are calcula ted through NLO for a partiallyquenched theory. In the limit where the strange quark mass is large compared to the light quark masses and the taste splittings, we show that the SU(2) staggered chiral theory emerges from the SU(3) staggered chiral theory, as expected. Explicit relat ions between SU(2) and SU(3) low energy constants and taste-violating parameters are given. A brief summary of updated SU(2) chiral fits to the MILC lattice data is presented.
SYNERGISTIC INTERACTION OF MEDICINAL PLANT ETHANOLIC EXTRACTS WITH ERYTHROMYCIN AGAINST SKIN STRAINS OF STAPHYLOCOCCI WITH INDUCIBLE PHENOTYPE OF MLS-RESISTANCE

study for isolation and identification of the active components. It will help to investigate the mechanisms of synergy on the molecular level. Conclusion. BAC of medicinal and aromatic plants potentiate antimicrobial activity of macrolides against skin isolates of staphylococci with inducible MLS-resistance. Alnus incana L. fruits ethanolic extract demonstrates the best direct antimicrobial activity and in combination with ERY synergistically inhibits the growth of S. aureus and S. epidermidis MLS-resistant strains. Ethanolic extracts of Geranium pratense L. rhizomes, Arctostaphylos uva-ursi (L.) Spreng. and buds also exhibit synergistic effect with ERY against skin isolates of staphylococci with inducible MLS-resistance.
Overexpression of GmNFYA5 confers drought tolerance to 1 transgenic Arabidopsis and soybean plants 2

33 Background: The crop productivity is challenged by abiotic stresses, among which 34 drought stress is the most widespread. The NF-Y genes, especially NF-YA genes 35 function in regulating drought tolerance of plants. 36 Results: In this study, a soybean NF-Y gene, GmNFYA5 , was identified with the 37 highest transcript level among all of 21 NF-YA genes in soybean ( Glycine max L.) 38 under drought stress. Transcript of GmNFYA5 induced by drought was suppressed by 39 ABA synthesis inhibitor naproxen (NAP). GmNFYA5 transcript was detected in 40 various tissues at vegetative and reproductive growth stage with higher levels in roots 41 and leaves, which was consist with the GmNFYA5 promoter:GUS fusion assay. 42 Overexpression of GmNFYA5 resulted in increased drought tolerance and ABA 43 sensitivity in transgenic Arabidopsis plants. Additionally, overexpression and 44 suppression of GmNFYA5 in soybean resulted in increased and decreased drought 45 tolerance compared with empty vector (EV) plants respectively. Transcript levels of 46 ABA-dependent and ABA-independent genes in transgenic Arabidopsis and soybean 47 plants overexpressing GmNFYA5 were higher than those of WT and EV plants under 48 drought stress respectively, but the opposite results were detected in soybean plants 49 suppressing GmNFYA5 . Furthermore, GmNFYA5 might regulate the expression 50 abundance of GmDREB2 and GmbZIP1 by binding the promoter in vivo. 51 Conclusions: These results suggest that overexpression of GmNFYA5 can improve 52 drought tolerance via ABA-dependent and ABA-independent pathways in soybean. 53