Miracle-dz/UniFAR-FTUs huggingface dataset:
Pozzolanic benefit of fly ash and steel slag blends in the development of uniaxial compressive strength of lime stabilized soil

This investigation involved the examination of pozzolanic benefits that resulted from the amendment of lime stabilization of a soil by using a combination of two industrial wastes viz. Fly ash (FA) and Steel Slag (SS). Two lime contents (6% and 8%), which represented the control specimens, were selected for stabilizing the soil, one above the Initial Consumption of Lime (ICL) and the other above the Optimum Lime Content (OLC), respectively. The lime to total solid waste ratio was maintained as 1:1, and the FA/SS ratio varied within the total solid waste content adopted for amending lime stabilization. The unconfined compressive strength (UCS) of the stabilized samples were determined by casting UCS specimens of 38 x 76 mm and cured for 2 hours, 7, 14 and 28 days. After curing, the specimens were strained until failure, to study the pozzolanic benefits of adding FA-SS. The results revealed that the addition of FA and SS improved the pozzolanic strength, ranging from 3.5% to 15%. The optimal dosage of FA and SS also varied with the lime content adopted. For the 6% lime content, a FA/SS ratio of 1:1 was found to be optimal, whereas for the 8% lime content, a FA/SS ratio of 3:1 was found to develop the maximum strength. The amendment of lime stabilization with FA/SS clearly brought about the difference in lime stabilization stages, unseen when only lime was adopted as stabilizer.
Managing mood and behaviors in long-term care facilities in the United States

M and behavioral problems impact the majority of patients in long-term care. The American Medical Directors Association has now developed a special one-day intensive as part of its national meeting to address these issues. Now in its fourth year “Navigating Mood and Behavior Challenges in Long Term Care: Strategies for Optimal Outcomes” continues to address management decisions to optimize patient outcomes. As course director for this program, author has been intimately involved with the national policy issues, the evidence base for treatment and the educational needs of nursing home medical directors, attending physicians, nursing staff, pharmacists and families regarding both drug and non-drug interventions in the United States. When selecting therapies that address mood and behavioral disturbances special consideration must also be given to the large class of antipsychotic therapies that were never approved by the Food and Drug Administration for patients with Alzheimer’s disease and other dementias. These drugs are used on a daily basis and add to excess morbidity and mortality. Many non-drug behavioral approaches have also been trialed in long-term care settings but the study designs, data acquisition and outcomes have failed to provide reproducible models of care. Unique opportunities at Mayo Clinic have also allowed us to tailor programs for families with Mild Cognitive Impairment to preserve independence by understanding the value of over-learned behaviors and a stable environment. Further trials will require participation by interdisciplinary as well as multidisciplinary teams to reduce the impact of transitions. This presentation will review the risks and benefits of selecting atypical antipsychotic medications to treat behavioral and psychological symptoms of dementia. The Clinical Practice Guidelines of the American Medical Director’s Association can be used to better manage dementia, depression and altered mental states at both a facility and individual level. Multidisciplinary programs that address the environmental needs of patients with psychiatric illness and mood disturbances will be reviewed. Mandatory use of the Brief Interview for Mental Status (BIMS) and the Patient Health Questionnaire (PHQ-9) as part of the Minimum Data Set (3.0) in US nursing homes provide new opportunities to screen for dementia and to treat depression. Goal is to have each person function with minimal failure and maximal use of retained abilities.
Inverse scattering in inhomogeneous background media

The inverse scattering problem for objects characterized by compactly supported scattering potentials embedded in a known inhomogeneous background medium given single-frequency, multistatic data is addressed within the distorted wave Born approximation (DWBA). The DWBA formulation of the multistatic data matrix is found to be in the form of a linear mapping from the Hilbert space of compactly supported scattering potentials to the finite-dimensional space CN of complex N-tuples where N = Nβ × Nα is the product of the number of receiver elements Nβ with the number of transmitter elements Nα. A pseudo-inverse of this mapping is shown to be representable as a series of products of complex conjugate background Green functions whose expansion coefficients are readily found by inverting a set of N simultaneous linear algebraic equations in N unknowns. An expression for the point spread function of the inversion algorithm is computed that is object independent and only a function of the background Green function and the measurement geometry, and thus allows the user to access ‘image quality’ of the algorithm as a function of these quantities. The paper includes a number of computer simulations illustrating the reconstruction algorithm developed in the paper.
A New High-Q Resonator Using Combination of D-SR and S-SRR with "-near Zero Metamaterial

Abstract| In this paper, a new high- Q L resonator using a combination of double spiral res-onator (D-SR) and single split ring resonator (S-SRR) with „ -near zero metamaterial is suggested.S-SRR is applied to a resonator to get high- Q L performance and D-SR is used to obtain „ -nearzero characteristic for size reduction. The resonator is designed to operate at 9.2GHz and theexperimental result shows the Q -factor value of 140.1. INTRODUCTION The metamaterials have opened the door to novel design methods for miniaturization and com-patibility with planar circuit technology [1]. For example, metamaterials such as ENZ (Epsilon-Near-Zero), MNZ (Mu-Near-Zero), and CRLH (Composite Right/Left Handed) metamaterials havebeen proposed [2{4]. One interesting application of these structures is the superior frequency se-lection characteristic in the microwave circuits. Traditional methods for these resonators usinghalf-wavelength short-circuit stubs have some drawbacks which are large size and degrading deviceperformance [5]. The SRR (Split Ring Resonator) and SR (Spiral Resonator) with MNZ methodin metamaterials technique have been used in designing sundry devices requiring the compact-sizeor adjustable size and high quality performance [5{7]. Because of the sharp band-rejection char-acteristic, the SR and SRR are appropriate for the narrow BPF or band-stop ﬂlter (BSF) andother circuits necessitating a high-
Deep-ultraviolet-triggered neuromorphic functions in In-Zn-O phototransistors

In recent years, photoelectronic synaptic devices have emerged as a platform for use in next-generation neuromorphic systems and artificial neural networks (ANNs). In this paper, we report an artificial photoelectronic synapse based on an ion-gel gated In-Zn-O phototransistor. The phototransistor is stimulated by a deep ultraviolet light spike, and it can process and store information in the form of an electric current. Key biological synaptic behaviors were investigated, including excitatory post-synaptic current and paired pulse facilitation. Furthermore, channel conduction can be changed by photoelectric synergy in order to simulate potentiation and depression behavior in the human brain. Most importantly, four forms of spike-timing dependent plasticity learning principles were realized by a photoelectric hybrid stimulation. Our studies provide a path towards hybrid photoelectronic ANNs capable of performing solar-blind sensitive tasks.In recent years, photoelectronic synaptic devices have emerged as a platform for use in next-generation neuromorphic systems and artificial neural networks (ANNs). In this paper, we report an artificial photoelectronic synapse based on an ion-gel gated In-Zn-O phototransistor. The phototransistor is stimulated by a deep ultraviolet light spike, and it can process and store information in the form of an electric current. Key biological synaptic behaviors were investigated, including excitatory post-synaptic current and paired pulse facilitation. Furthermore, channel conduction can be changed by photoelectric synergy in order to simulate potentiation and depression behavior in the human brain. Most importantly, four forms of spike-timing dependent plasticity learning principles were realized by a photoelectric hybrid stimulation. Our studies provide a path towards hybrid photoelectronic ANNs capable of performing solar-blind sensitive tasks.
The formation of a plasma channel in the optical breakdown of a gas by tubular Bessel beams

The plasma formed by the breakdown of gases (argon was used in the experiments, whereas argon and helium were considered in the calculations) at atmospheric pressure in light beams was studied experimentally and modelled numerically. The field amplitude in these beams was virtually constant in the direction of propagation and described by a high-order Bessel function in the radial direction. The initial stage in the evolution of a spark, when the tubular configuration of the heating-radiation caustic exerts the greatest influence on the characteristics of the plasma channel, was investigated.
The theory of difference analogues of special functions of hypergeometric type

CONTENTS Introduction § 1. Preliminary information § 2. Construction of particular solutions for a difference equation of hypergeometric type on non-uniform lattices § 3. Some properties of difference functions of hypergeometric type § 4. Classical orthogonal polynomials of a discrete variable on non-uniform lattices § 5. Functions of a discrete variable of the second kind § 6. Some solutions of a difference equation of hypergeometric type on non-uniform lattices Conclusion Appendix. A transformation of the original equation References
Shape measurement using additive - subtractive phase shifting speckle interferometry

This paper describes an optical technique for shape measurement that works satisfactorily in relatively severe noisy conditions by using additive - subtractive phase-modulated electronic speckle pattern interferometry (AS-ESPI). Through repetitively altering the illumination angle of one interfering beam at a frequency much higher than the video frame rate, and by simultaneously locking the beam tilting via laser strobing, random noises that normally are of much lower frequency than that of the repetitive tilting can be removed by frame averaging of the AS-ESPI correlation fringe patterns. A procedure of phase shifting that is synchronized with the repetitive tilting is utilized to perform data reduction. Quantitative experimental results obtained under rather noisy conditions are presented to show the validity of the principle.
A Unifying Tool for Linear Multivariate Statistical Methods: The RV‐Coefficient

Consider two data matrices on the same sample of n individuals, X(p x n), Y(q x n). From these matrices, geometrical representations of the sample are obtained as two configurations of n points, in Rp and Rq It is shown that the RV‐coefficient (Escoufier, 1970, 1973) can be used as a measure of similarity of the two configurations, taking into account the possibly distinct metrics to be used on them to measure the distances between points. The purpose of this paper is to show that most classical methods of linear multivariate statistical analysis can be interpreted as the search for optimal linear transformations or, equivalently, the search for optimal metrics to apply on two data matrices on the same sample; the optimality is defined in terms of the similarity of the corresponding configurations of points, which, in turn, calls for the maximization of the associated RV‐coefficient. The methods studied are principal components, principal components of instrumental variables, multivariate regression, canonical variables, discriminant analysis; they are differentiated by the possible relationships existing between the two data matrices involved and by additional constraints under which the maximum of RV is to be obtained. It is also shown that the RV‐coefficient can be used as a measure of goodness of a solution to the problem of discarding variables.
A Low-Complexity Distributed-MIMO Testbed Based on High-Speed Sigma–Delta-Over-Fiber

Distributed multiple-input-multiple-output (D-MIMO) is a very promising technique to improve capacity and quality of service for emerging 5G systems. In this paper, we propose a flexible and low-cost testbed for D-MIMO systems, where a sigma–delta over fiber (SDoF) solution is proposed to address the fundamental challenge of phase-coherent transmission between multiple distributed access points (APs) from a central unit (CU). Employing low-cost standardized optical data interconnects, SDoF, brings a very flexible and software controlled transmission of RF signals over optical fiber. An SDoF-based D-MIMO testbed with a CU feeding 12 distributed APs has been realized and experimentally evaluated. Initial experiments of D-MIMO and conventional colocated MIMO systems at 2.365 GHz have been performed to demonstrate the flexibility and potential of the proposed testbed as a new powerful tool in the design and analysis of emerging communication system concepts.
Hydrodynamic relaxation of the adiabatic piston

We derive a closed deterministic equation for the motion of the two-dimensional adiabatic piston. It predicts a damped oscillatory motion of the piston towards a final rest position, which depends on the initial state. In the limit of large piston mass, the solution of this equation is in quantitative agreement with the results obtained from both hard-disk molecular dynamics and hydrodynamics.
Improved Electric Transport Properties of a Multi-wall carbon Nanotube

Up to now quantized conductance of the carbon nanotube has only been observed by replacing the tip of a scanning probe microscope with the tube and putting the other end of the tube in a liquid metal [Science 280 (1998) 1744]. Probably cleaning the tube by the liquid metal has improved its quality and gives rise to the quantized conductance. We report on a new method to improve the electric transport properties of a single multi-wall carbon nanotube by Joule heating. Our experiment indicates that the conductance of the tube can be greatly improved just by repeated scanning the bias voltage in vacuum.
Chemical biology tools for structure-function studies on heparan sulphates : decoding specificity in FGF signalling

ii Remerciements . v Acknowledgments . vii Table of contents . ix List of abbreviations . xv List of figures . xxi List of schemes . xxiv List of tables . xxv 1. Chapter 1 – Background . 1 1.1. Glycans and glycobiology . 2 1.2. Proteoglycans . 2 1.3. Glycosaminoglycans . 3 1.4. Heparan sulphate proteoglycans . 3 1.5. Heparin and heparan sulphate . 5 1.5. 1. Biosynthesis . 5 1.5. 1.1. Initiation. 6 1.5. 1.2. Elongation . 6 1.5. 1.3. Chain modifications . 8 1.5. 1.4. Post-synthetic modifications . 9 1.5. 2. Structural properties . 10 1.5. 2.1. Structures . 10 1.5. 2.2. Conformations . 12 1.6. HS structures in biology: HS-protein interactions . 13 1.6. 1. HS-protein binding: basic principles and structural requirements for the HS chains and the ligands . 14
Plasma convection in the poloidal limiter shadow of a tokamak

Plasma flow in the poloidal limiter shadow of a tokamak is examined. It is shown that, as a result of contact with a limiter, a large poloidal electric field is created in the plasma. Plasma drift in this field can be considered as anomalous diffusion. The characteristic dimension of the change in plasma density is found to be of the order of the ion cyclotron radius calculated for a poloidal magnetic field. The plasma flow is non-ambipolar and the electric current closes its circuit via the limiter. The results obtained are confirmed by experiments on various tokamaks.
Research on the model of network security risk assessment for cloud computing

This study describes the definition, the highlights and the development status in domestic and overseas of cloud computing. It simply analyzes the network security risk caused by cloud computing, division of the three modes in cloud computing platform architecture and the relationship among them. Starting from the definition and the framework, the paper analyzes the nine elements (asset, threat, vulnerability, security precaution, risk, residual risk, standardization, laws and regulations) of the security risk assessment of cloud computing and the relationship of them. Based on the relationship of the nine elements and the method of traditional information security risk assessment, it worked out a formal model for the risk assessment of cloud computing. This model has some similarities with the method of traditional information security risk assessment and also it has the particularity owned by cloud computing. It can predict the information security of users in cloud computing service well, so as to protect the users’ assets.
Fire Detection

— Fire detection is the main objective of this project besides surveillance. The goal of the venture is to early detection of fireplace other than preventive measures to reduce the losses because dangerous fire. The project is undertaking is specifically based on image processing. In this project, at the user end, the fire images will be feed in the form of images sequences i.e. in video layout. Fire detection using image processing presents a fast fire detection algorithm for the purpose of automatically detecting fire in IR images. The presented algorithm makes use of brightness and movement along with image processing techniques ways of doing via histogram-based segmentation. The colour models are extracted using a statistical analysis of samples extracted from exceptional sort of image sequences. The camera will give a real-time video output to the user on the laptop or computer via a small GUI-graphic user interface which is to be built in . net language. Thus, the fire will be detected using image processing model.
Gamma-ray detection from gravitino dark matter decay in the μνSSM

The μνSSM provides a solution to the μ-problem of the MSSM and explains the origin of neutrino masses by simply using right-handed neutrino superfields. Given that R-parity is broken in this model, the gravitino is a natural candidate for dark matter since its lifetime becomes much longer than the age of the Universe. We consider the implications of gravitino dark matter in the μνSSM, analyzing in particular the prospects for detecting gamma rays from decaying gravitinos. If the gravitino explains the whole dark matter component, a gravitino mass larger than 20GeV is disfavored by the isotropic diffuse photon background measurements. On the other hand, a gravitino with a mass range between 0.1−20 GeV gives rise to a signal that might be observed by the FERMI satellite. In this way important regions of the parameter space of the μνSSM can be checked.
Developing a visual taxonomy: Children's views on aesthetics

This article explores the aesthetic design criteria that should be incorporated into the information visualization of a taxonomy intended for use by children. Seven elementary-school students were each asked to represent their ideas in drawings for visualizing a taxonomy. Their drawings were analyzed according to six criteria—balance, equilibrium, symmetry, unity, rhythm, and economy—identified as aesthetic measures in previous research. The drawings revealed the presence of all six measures, and three—unity, equilibrium, and rhythm—were found to play an especially important role. It is therefore concluded that an aesthetic design for an information visualization for young users should incorporate all six measures.
A smart material microamplification mechanism fabricated using LIGA

A unique microamplification mechanism formed through the merging of smart material and microelectromechanical system concepts is presented. This microamplification device increases the useful actuation stroke of piezoceramic material through the amplification of piezoceramic strain. The technology demonstrated has utility as a microactuation mechanism for driving micropiezomotors, hearing aid transducers and precision optical switches. The microamplifier, approximately , is composed of electroplated nickel and was constructed using LIGA. An overview of microactuator system requirements and the advantages of scaling the flexure based amplifier illustrates the utility of the new device. The microamplifier is a radically scaled version of a mesoscopic mechanism. An analytical discussion of the operation is presented along with a finite-element analysis of the static and dynamic properties of the microlever. The analytical study is used to develop the operation principles and expected performance of the microamplifier. Experimental static and dynamic testing results are presented that confirm the analytical study. The mechanism has a mean amplification ratio of 5.48, an elastic stroke range of 8 m and a fundamental frequency of 82 kHz.
Colloidal glasses

At high enough concentrations, suspensions of microscopic particles in a liquid can form ‘colloidal glasses’. These are metastable amorphous solids in which the particles are trapped by their neighbours but still have some freedom for local Brownian motions. Typically they are ‘soft’ solids which yield and flow under applied stresses. This article describes some experimental studies of colloidal glasses of spherical particles. The Brownian dynamics of quiescent, unstressed, systems can be measured using dynamic light scattering. Various rheological techniques give information on mechanical properties and the mechanisms of yielding. Emphasis is on exploring the striking differences between glasses formed by particles with purely repulsive interactions and those with additional short-ranged attractions.
Techno-economic evaluation of stationary battery energy storage systems with special consideration of aging

This work presents a techno-economic evaluation of two stationary battery energy storage system applications with special consideration of the aging. Therefore, the software framework SimSES is developed. Comprehensive aging studies of the investigated LiFePO4/graphite cell are performed. The experimental results are used to develop aging models which are integrated into SimSES. On that basis, a techno-economic assessment and comparison of the two chosen stationary applications are performed with appropriate technical and economic evaluation parameters.
Circularly polarized cylindrical dielectric resonator antenna excited by square ring slot with a T‐shaped microstrip line

In this article, a cylindrical dielectric resonator antenna (CDRA) excited by a 45° rotated square ring slot with a T‐shaped coupling microstrip line is investigated for circularly polarized (CP) operation. The proposed antenna shows the dual band characteristics and the lower band is generated due to T‐Shaped microstrip line and upper band is due to CDRA. In the proposed antenna, the two degenerate broadside orthogonal modes ( HE11δx mode and HE11δy mode) of the CDRA are used to realize CP radiation. The prototype of the proposed antenna has been fabricated and tested. The measured |S11| bandwidth in the lower and upper band is found to be 14.65 and 19.86%, respectively. The measured 3‐dB axial ratio bandwidth of 1.46 and 6.01% is achieved in the upper band only. Proposed antenna has been found suitable for wireless application.