Miracle-dz/UniFAR-FTUs huggingface dataset:
Multifunctional management of gold nanoparticles for improved applications

--- Increasingly, nanotechnology has the potential to be applied in disease detection or treatment. Nanotechnology advancements optical, electrical, sensing and biological capabilities, Au NPs have been regarded as the most fascinating nanomaterial. Medical imaging, drug administration and tumour therapy are all possible applications of Au NPs in the early identification and diagnosis and treatment of illnesses. This review focuses on some recent breakthroughs in the management of Au NPs as drug carriers for the intracellular delivery of therapies and as molecular nanoprobes for the detection and monitoring of target molecules.
Same bits, different meaning – when direct execution based simulation becomes complicated

— Intel® 64 architecture processors are constantly evolving, with new generations regularly being introduced on the market. A new processor is usually backwards compatible and includes all the software-visible functionality of previous generations. This allows existing software to run on the new hardware without recompilation or modifications. However, the guarantee of compatibility can break in certain scenarios when software is running in a virtual machine. We discovered that certain machine instructions behave differently on past and present generations of AMD and Intel processors. We have developed new methods and tools in Wind River® Simics® to allow correct and fast execution across generations.
A Prototyping and Evaluation Framework for Research on Timing-analysable Memory Hierarchies for Embedded Multicore SoCs

Research on memory hierarchies regarding the non-functional requirements in embedded multicore systems demands for a framework to support the prototyping and evaluation of new methods. In current multicore processors, accesses on shared resources by arbitrary tasks lead to interferences, which can result in timing violations of high-priority tasks. However, incorporating all potential interferences in the schedulability analysis leads to an enormous overestimation of the task execution times, and requires a full analysis of all tasks running on the system. Enhancements in the memory hierarchy can provide isolation to restrict potential interferences, thus improving the worst-case performance. To research on modifications in the memory hierarchy of a multicore processor, a prototyping and evaluation framework is required. This paper describes the design of such a framework, and outlines the individual parts and their interconnections.
A multivariate GARCH model with an infinite hidden Markov mixture

This paper proposes a new Bayesian semiparametric model that combines a multivariate GARCH (MGARCH) component and an infinite hidden Markov model. The new model nonparametrically approximates both the shape of unknown returns distributions and their short-term evolution. It also captures the smooth trend of the second moment with the MGARCH component and the potential skewness, kurtosis, and volatility roughness with the Bayesian nonparametric component. The results show that this more-sophisticated econometric model not only has better out-of-sample density forecasts than benchmark models, but also provides positive economic gains for a CRRA investor at different risk-aversion levels when transaction costs are assumed. After considering the transaction costs, the proposed model dominates all benchmark models/portfolios when No Short-Selling or No Margin-Trading restriction is imposed.
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations

We propose an approach to solving partial differential equations (PDEs) using a set of neural networks which we call Neural Basis Functions (NBF). This NBF framework is a novel variation of the POD DeepONet operator learning approach where we regress a set of neural networks onto a reduced order Proper Orthogonal Decomposition (POD) basis. These networks are then used in combination with a branch network that ingests the parameters of the prescribed PDE to compute a reduced order approximation to the PDE. This approach is applied to the steady state Euler equations for high speed flow conditions (mach 10-30) where we consider the 2D flow around a cylinder which develops a shock condition. We then use the NBF predictions as initial conditions to a high fidelity Computational Fluid Dynamics (CFD) solver (CFD++) to show faster convergence. Lessons learned for training and implementing this algorithm will be presented as well.
Proximity to Its Own Silencer Activation by an Enhancer in Close Gene Thpok Cutting Edge: Fine-Tuning of

Differentiation of MHC class II–selected thymocytes toward the CD4 + helper lineage depends on function of the transcription factor ThPOK, whose expression is repressed in CD8 + cytotoxic lineage cells by a transcriptional silencer activity within the distal regulatory element (DRE) in the Thpok gene. Interestingly, the DRE also functions as a transcriptional enhancer. However, how the DRE exerts such dual functionality In this study, we dissected the DRE and identiﬁed DNA sequences speciﬁcally responsible for enhancer activity, and designated this as the thymic enhancer. Removal of the thymic enhancer from the murine Thpok locus resulted in inefﬁcient ThPOK induction, thereby inducing a redirection toward alterna-tive CD8 + cytotoxic lineage in a proportion of MHC class II–selected cells, even when they express mono-clonal MHC class II–restricted transgenic TCR. Thus, regulation of contiguous but separable sequences with opposite function in the DRE plays an important role in precise coupling of TCR signaling with the selection process of two opposite lineages.
Novel Approach towards Number Plate Recognition

- As the population is increasing every day need of individuals prompts increment in transportation framework. As we knowthe each vehicle contains the number plate which especially recognizes the vehicle individually and used for different kind of reasons. Number plate because of high Intensity can be effectively read by people yet when the task comes to PC is getting complex. Someissue getting increment in situations when pictures is caught from the longer distance, high distortion, low contrast, low spatial resolution,blurred type and furthermore relies on upon the climate condition. Presently in today time the need of technology and quick innovation has opened the entryway for the analyst in this field of Number Plate Recognition (NPR). The paper here provide an approach using Artificial Neural Network (ANN) towards Number Plate Recognition how the number in text form can be achieved from an image of vehicle containing number plate. Using standard OCR result was achieved up to 94% while using ANN approach accuracy improved up to 95.5% in recognition.
Improving Constrained Random Testing by Achieving Simulation Verification Goals through Objective Functions, Rewinding and Dynamic Seed Manipulation

– Constrained Random simulation is so critical to modern verification environments that it is a major component of the SystemVerilog language itself. This paper proposes a method that improves how UVM Constrained Random simulations are run. By abstracting the purpose of a simulation to be achieving “Objec-tive Functions” (nominally coverage goals), it is possible to have the simulation autonomously explore deep possibilities from multiple points in time of a standard UVM testbench governed by feedback. This method has a number of benefits including: faster automated coverage closure, an efficient final stimulus solution and proposed higher quality of coverage
Pivot Based Data Preprocessing System for Data Optimization

Due to the fastest growth in the data size from various Internet sources DATA extraction, transformation and processing of big data becomes very much important in academics as well as industry. Big data processing platforms like Hadoop adopt MapReduce programming model to perform data processing of applications. Functionality of Hadoop first collects data and stores them in different data node with replication policy, later computation of these data is done using the map reduce operations. The process of collection and analysis of data requires more number of IO operations hence computing resources are not utilized in an efficient way. This paper proposes a preprocessing system based on Hadoop Platform on the idea of preprocessing system to reduce the IO operation on the redundant data collected and is stored in the data nodes leading to the reduced data size on the data nodes and IO operations and thus processing of these data takes less time. Experiments are conducted on the dataset generated which contains the redundant integer data.
Particle capture device

A particle trap, which may be installed in a pipe, e.g. in an exhaust tract of a motor vehicle, is provided for the agglomeration and oxidation of particles in a fluid flow and includes a multiplicity of substantially rectilinear and mutually parallel flow passages having passage walls with structures. The structures generate swirling, calming and/or dead zones in the fluid flow but keep the particle trap open to the fluid flow. Therefore, the particle trap is an open system in which particles can be kept or precipitated out of a fluid by turbulences in the flow and can be held until they undergo oxidation. Assemblies and exhaust tracts having the particle trap are also provided.
Overall 5G-MoNArch Architecture and Implications for Resource Elasticity

— The fifth generation (5G) of mobile and wireless communications networks aims at addressing a diverse set of use cases, services, and applications with a particular focus on enabling new business cases via network slicing. The development of 5G has thus advanced quickly with research projects and standardization efforts resulting in the 5G baseline architecture. Nevertheless, for the realization of native end-to-end (E2E) network slicing, further features and optimizations shall still be introduced. In this paper, essential building blocks and design principles of the 5G architecture will be discussed capitalizing on the innovations that are being developed in the 5G-MoNArch project. Furthermore, building on the concept of resource elasticity introduced by 5G-MoNArch and briefly re-summarized in this paper, an elasticity functional architecture is presented where the architectural implications required for each of the three dimensions of elasticity are described, namely computational, orchestration-driven, and slice-aware elasticity.
Elastic Properties and Hardness of Mixed Alkaline Earth Silicate Oxynitride Glasses

The incorporation of nitrogen as a second anion species into oxide glasses offers unique opportunities for modifying glass properties via changes in glass polymerization and structure. In this work, the compositional dependence of elastic properties and the nanoindentation hardness of mixed alkaline-earth silicate oxynitride glasses containing a high amount of nitrogen (>15 at.%, c.a. 35 e/o) were investigated. Three series of silicon oxynitride glass compositions AE–Ca–Si–O–N glasses (where AE = Mg, Sr, and Ba) having varying amounts of modifiers were prepared using a new glass synthesis route, in which a precursor powder of metal hydrides was used. The obtained glasses contained high amounts of N (19 at.%, c.a. 43 e/o) and modifier cations (26 at.%, c.a. 39 e/o). Mg–Ca–Si–O–N glasses had high values of nanohardness (12–16 GPa), along with a reduced elastic modulus (130–153 GPa) and Young’s modulus (127–146 GPa), in comparison with the Sr–Ca- and Ba–Ca-bearing oxynitride glasses. Both the elastic modulus and the nanohardness of AE–Ca–Si–O–N glasses decreased with an increase in the atomic number of the AE element. These property changes followed a linear dependence on the effective cation field strength (ECFS) of the alkaline earth (AE) modifier, according to their valences and ionic radii. No mixed alkaline-earth effect was observed in the current investigation, indicating that the properties were more dictated by the nitrogen content.
Specification Driven Analog and Mixed-Signal Verification

- We describe an analog/mixed-signal verification methodology that is practical, efficient, systematic, scalable, and repeatable. The methodology begins with analog block-level specifications and ends with analog block schematics that have been verified in a self checking manner against the specifications using transistor level simulation, validated models of the analog that will be used as part of the chip-level verification process, and self-checking regression tests that validate that the models match the schematic. Combined with digital verification, we will explain how the entire chip including the analog schematics is functionally covered. This approach find bugs in the analog schematics, the analog/digital interface, and the digital/embedded software that talks with the analog. We will also touch upon when digital verification techniques apply and when they do not.
Threat-Based Land Management in the Northern Great Basin: A Manager’s Guide at feasible, relevant scales

three participating Extension services offer educational programs, activities, and materials without discrimination on the basis of race, color, national origin, religion, sex, gender identity (including gender expression), sexual orientation, disability, age, marital status, familial/ parental status, income derived from a public assistance program, political beliefs, genetic information, veteran’s status, reprisal or retalia-tion for prior civil rights activity. (Not all prohibited bases apply to all programs.) The Oregon State Extension Service, Washing- are an AA/EOE/Veterans/Disabled.
An Intelligent Backup Scheme for Current Source Converter-High Voltage Direct Current Systems Based on Artificial Neural Networks

Abstract This paper presents an intelligent and integrated backup scheme based on artificial neural networks for current source converter-high voltage direct current (CSC-HVDC) systems. Taking advantage of the properties of ANNs to identify and classify patterns, the proposed scheme is able to detect and correctly locate a fault occurring either at the rectifier substation, the DC line or at the inverter substation. In this scheme, only local signals are used at the rectifier substation and no communication link is necessary, thus improving the system's protection reliability and reducing the required capital cost. Moreover, the proposed scheme could be promptly applicable in practical situations, as the hardware requirements and response times are not critical issues. All steps of the proposed scheme for the aforementioned purpose are accurately discussed in addition to all the information about the CSC-HVDC system under analysis. Finally, a detailed analysis of the influence of the main fault parameters on the algorithm's performance is also conducted.
DESIGN AND IMPLEMENTATION OF A FACE RECOGNITION BASED DOOR ACCESS SECURITY SYSTEM USING RASPBERRY PI

----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In a smart security system, automatic face recognition is the most challenging task from the past decade in computer vision. The applications of computer vision and face recognition have increased day by day with new dimensions and new positive impacts in our society. However some of the systems can’t identify and recognize any person through the blur conditions, illumination and lightings are the major problems. The authors have proposed a system in this paper that can operate different lightings and identify faces from various angles. It stored various datasets of known persons to identify the compatibility of the system in different conditions.
LANMAR: LANDMARK ROUTING FOR LARGE SCALE WIRELESS AD HOC NETWORKS ROUTES WITH FISHEYE STATE ROUTING

In this paper, we tend to gift a completely unique routing protocol for wireless impromptu networks Landmark impromptu Routing (LANMAR). LANMAR combines the options of optical lens State Routing (FSR) and Landmark routing. The key novelty is that the use of landmarks for every set of nodes that move as a bunch (e.g., a team of work-mates at a convention or a tank battalion within the battlefield) so as to scale back routing update overhead. Like in FSR, nodes exchange link state solely with their neighbors. Routes at intervals optical lens scope a correct, whereas routes to remote team of nodes a “summarized” by the corresponding landmarks. A packet directed to a far off destination at the start aims at the Landmark; because it gets nearer to destination it eventually switches to the correct route provided by optical Fisheye state
Assessment the Quality of Medical Images (CT & MRI) by Using Wavelet Transformation (WT)

— he measurement of digital image quality is important for manyimage processing applications. In this paper, been apply of the Wavelet Transformation (WT) technique on medical images taken techniques imaging various medical for the purpose of enhancement and the study of priority medical images in terms of diagnosis in the same parts of the body by assessment the quality of these images through the application of a set of quality metrics objectivity's well known such as Image Fidelity (IF),Structural Similarity Index (SSIM), Mean Squared Error (MSE), synthetic
Content aware multi-focus image fusion for high-magnification blood film microscopy

Automated digital high-magnification optical microscopy is key to accelerating biology research and improving pathology clinical pathways. High magnification objectives with large numerical apertures are usually preferred to resolve the fine structural details of biological samples, but they have a very limited depth-of-field. Depending on the thickness of the sample, analysis of specimens typically requires the acquisition of multiple images at different focal planes for each field-of-view, followed by the fusion of these planes into an extended depth-of-field image. This translates into low scanning speeds, increased storage space, and processing time not suitable for high-throughput clinical use. We introduce a novel content-aware multi-focus image fusion approach based on deep learning which extends the depth-of-field of high magnification objectives effectively. We demonstrate the method with three examples, showing that highly accurate, detailed, extended depth of field images can be obtained at a lower axial sampling rate, using 2-fold fewer focal planes than normally required.
Optimization of BST Thin Film Phase Shifters for Beam Steering Applications

OPTIMIZATION OF BST THIN FILM PHASE SHIFTERS FOR BEAM STEERING APPLICATIONS Name: Spatz, Devin William University of Dayton Advisor: Dr. Guru Subramanyam Barium Strontium Titante (BST) thin film based varactors are optimized for implementation in electrically controlled, analog phase shifters. Varactor tunability / phase shift is derived from ferroelectric BST being used as the dielectric layer in a parallel plate capacitive structure. The application of a low (0-8V DC) bias enables a decrease in varactor capacitance and creates a resulting phase shift. Optimization is performed though the simulation of varactor device variations including varied parallel-plate area and dielectric thickness. Parameters for phase shifter optimization include insertion loss, device size, and figure of merit (FOM) while requiring 360 degree phase shift from all designs. Though extensive simulations, a 6x6 μm2 varactor based phase shifter with a dielectric thickness of 200 nm is determined to be optimal based on these criterion. A Monolithic Microwave Integrated Circuit (MMIC) and hybridized circuit are designed to demonstrate beam steering capabilities of the optimized phase shifters. Though fabrication of the varactor and phase shifter devices, experimental results are obtained to validate simulation performance and observations.
FATIGUE CRACK GROWTH AND DELAMINATION IN FIBER METAL LAMINATE (GLARE) DURING LOADING WITH POSITIVE MEAN STRESS

: The aim of the paper is to present the results of a study on the damage of fiber metal laminate (GLARE) subjected to the low cycle fatigue loading with positive mean stress. The fatigue crack initiation and growth was observed on the surface of notched specimens and then the individual layers of fatigued specimens were removed by chemical etching and polishing to obtain data about cracks length and delamination shape and area. Mechanism of initiation and crack growth in this type of materials differs from homogeneous monolithic materials. The fatigue life in term of number of cycles to crack initiation depending on amplitude of local plastic deformation and local stress in the notch root was evaluated.
Gram-Negative Peritonitis in Mice Trafficking and Mortality during Noradrenergic Neurons Regulate Monocyte

Effective host defense requires a robust, yet self-limited response to pathogens. A poorly calibrated response can lead to either bacterial dissemination due to insufﬁcient inﬂammation or organ injury due to excessive inﬂammation. Recent evidence suggests that the cholinergic anti-inﬂammatory reﬂex helps calibrate the immune response. However, the inﬂuence of peripheral noradrenergic neurons, which are primarily sympathetic neurons, in regulating immunity remains incompletely characterized. Using a model of 6-hydroxydopamine–mediated noradrenergic nerve ablation, we show that elimination of noradrenergic neurons improves survival during Klebsiella pneumoniae peritonitis (67 versus 23%, p < 0.005) in mice. The survival beneﬁt results from enhanced MCP-1–dependent monocyte recruitment and a subsequent decrease in bacterial loads. Splenectomy eliminated both the survival beneﬁt of 6-hydroxydopamine and monocyte recruitment, suggesting that monocytes recruited to the peritoneum originate in the spleen. These results suggest that noradrenergic neurons regulate the immune response through two pathways. First, sympathetic nerve-derived norepinephrine directly restrains MCP-1 production by peritoneal macrophages during infection. Second, norepinephrine derived from the vagally innervated splenic nerve regulates splenic monocyte egress. Removal of these two modulators of the immune response enhances antibacterial immunity and improves survival. These results may have implications for how states of catecholamine excess inﬂuence the host response to bacterial infections. The Journal of Immunology , 2013, 190: 000–000.
C. elegans FGF Receptor Signaling Can Occur Independently of the Multi-substrate Adaptor FRS2

The components of receptor tyrosine kinase (RTK) signaling complexes help to define the specificity of the effects of their activation. The Caenorhabditis elegans fibroblast growth factor receptor (FGFR), EGL-15, regulates a number of processes, including sex myoblast (SM) migration guidance and fluid homeostasis, both of which require a Grb2/Sos/Ras cassette of signaling components. Here we show that SEM-5/Grb2 can bind directly to EGL-15 to mediate SM chemoattraction. A yeast two-hybrid screen identified SEM-5 as able to interact with the carboxy-terminal domain (CTD) of EGL-15, a domain that is specifically required for SM chemoattraction. This interaction requires the SEM-5 SH2 binding motifs present in the CTD (Y 1009 and Y 1087 ), and these sites are required for the CTD role of EGL-15 in SM chemoattraction. SEM-5, but not the SEM-5 binding sites located in the CTD, is required for the fluid homeostasis function of EGL-15, indicating that SEM-5 can link to EGL-15 through an alternative mechanism. The multi-substrate adaptor protein FRS2 serves to link vertebrate FGFRs to Grb2. In C. elegans , an FRS2-like gene, rog-1 , functions upstream of a Ras/MAPK pathway for oocyte maturation but is not required for EGL-15 function. Thus, unlike the vertebrate FGFRs, which require the multi-substrate adaptor FRS2 to recruit Grb2, EGL-15 can recruit SEM-5/Grb2 directly.