Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless Power Transfer in the Radiative Near Field

A scheme for wireless power transfer (WPT) in the radiative near-field (Fresnel) region is presented. The proposed Fresnel WPT scheme is designed to focus microwaves to a diffraction-limited region where a detector can be positioned, achieving reasonably high power transfer efficiency over moderate distances. The configuration consists of transmit and receive microstrip patch array antennas, with the receiving antenna connected to a power-harvesting half-wave rectifier (rectenna). Fresnel region operation enables the fields radiated by the transmitting aperture to be localized both in range and cross-range. Using Fresnel region focusing, we achieve an increase of 66.8% in the amount of received power when compared to the performance of a conventional beamforming array. We also demonstrate the efficiency improvement by powering an LED using the on-axis and off-axis focusing configurations.
Improving Client Service Delivery using Standardized Nursing Care Plan: A Case Study of 37 Military Hospital

To determine the effect of standardized nursing care plan on the quality healthcare delivery. Using a deductive approach, the experiment would test the hypothesis ‘If electronic health records (EHR) improve quality of health care, then the use of standardized (electronic) nursing care plans would improve client services in health delivery’. The experiment was conducted over 15 working days. Pre and postimplementation feedback from participants selected by cluster sampling was documented and analyzed. Cochran’s modified formula was used to calculate 66 participants to reflect the total population of nurses who actually work on the wards and provide care for admitted patients’ in the 37 Military Hospital. This cross section of the nursing population plan care and render health services on Medical and Surgical Wards that admit female and male clients and the Dialysis Unit that also plans care for acute and chronic patients of both genders. The study revealed that 58 (87.9% ) were of the opinion that LASNCP would be an effective strategy to promote use of nursing process, 59 (89.4%) agreed an online version would help nurses to use care plan, and 62 (93.9%) respondents agreed LASNCP can improve the quality of nursing care patients receive thus accepting the alternate hypothesis. Uptake and utilization of standardized nursing care plans to improve client service delivery is recommended.
Catalytically active Au-O(OH)x- species stabilized by alkali ions on zeolites and mesoporous oxides

We report that the addition of alkali ions (sodium or potassium) to gold on KLTL-zeolite and mesoporous MCM-41 silica stabilizes mononuclear gold in Au-O(OH)x-(Na or K) ensembles. This single-site gold species is active for the low-temperature (<200°C) water-gas shift (WGS) reaction. Unexpectedly, gold is thus similar to platinum in creating –O linkages with more than eight alkali ions and establishing an active site on various supports. The intrinsic activity of the single-site gold species is the same on irreducible supports as on reducible ceria, iron oxide, and titania supports, apparently all sharing a common, similarly structured gold active site. This finding paves the way for using earth-abundant supports to disperse and stabilize precious metal atoms with alkali additives for the WGS and potentially other fuel-processing reactions. Alkali atoms help disperse catalytically active gold on high–surface-area alumina and silica supports. Dispersing catalytic gold as widely as possible In order to maximize the activity of precious metals in catalysis, it is important to place the metal on some support with a high surface area (such as a zeolite) and to maintain the metal as small clusters or even atoms to expose as much metal as possible. The latter goal is more readily achieved with oxides of reducible metals such as cerium or titanium than with the aluminum and silicon oxides that make up most zeolites and mesoporous oxides. Yang et al. show that sodium and potassium can stabilize gold along with hydroxyl and oxo groups to create highly active catalysts for the water-gas shift reaction at low temperatures, a reaction that can be useful in applications such as fuel cells. Science, this issue p. 1498
TRIBOLOGICAL AND CORROSION BEHAVIOUR OF AL 6063 / SIC METAL MATRIX COMPOSITES

Aluminium (Al 6063)metal matrix composites having different volume fraction of SiC particulates (0 to 15wt %) were fabricated using stir casting method. The influences of the SiC percentage in Al/SiC composites were examined by microscopic analysis, pin-on-disk wear tests and corrosion tests. Results revealed that tribological characteristics of Al/SiC composites varied with respect to the SiC concentrations. Microstructures of the Al / SiC composites revealed that the SiC with 2 and 4 volume fractions have uniformly dispersed grain-boundary layers. Corrosion results show increase in SiC particulates reduces the corrosion rate. The addition of SiC particulates up to 10wt% provides consistent results and improves the material strength. Further addition of SiC particulates leads to poor tribological behaviour. The present results ultimately support to the researchers / manufacturers who are working in the field of fabricating Aluminium composite materials for aircraft, cars, astronautics and defense applications.
Attributes-based Encryption Scheme with Policy Revocation

There are a lot of data exchanges among the parties by using cloud computing. So data protection is very important in cloud security environment. Especially, data protection is needed for all organization by security services against unauthorized accesses. There are many security mechanisms for data protection. Attributes-based Encryption (ABE) is a one-to-many encryption to encrypt and decrypt data based on user attributes in which the secret key of a user and the ciphertext are dependent upon attributes. Ciphertext policy attributes-based encryption (CP-ABE), an improvement of ABE schemes performs an access control of security mechanisms for cloud storage. In this paper, sensitive parts of personal health records (PHRs) are encrypted by ABE with the help of CP-ABE. Moreover, an attributes-based policy revocation case is considered as well as user revocation and it needs to generate a new secret key. In proposed policy revocation case, PHRs owner changes attributes policy to update available user lists. A trusted authority (TA) is used to issue secret keys as a third party. This paper emphasizes on key management and it also improves attributes policy management and user revocation. Proposed scheme provides a full control on data owner as much as he changes policy. It supports a flexible policy revocation in CP-ABE and it saves time consuming by comparing with traditional CP-ABE. KeywordsAttributes-based encryption (ABE), Ciphertext policy attributes-based encryption (CP-ABE), Personal Health Records (PHRs), Trusted Authority (TA)
Alveolar Ridge Preservation With Deproteinized Bovine Bone Graft and Collagen Membrane and Delayed Implants

Abstract To evaluate clinically and radiographically an alveolar ridge, preservation technique with deproteinized bovine bone graft and absorbable collagen membrane and then restoration with delayed implants were done. The study included 30 patients. The trial group’s sockets were filled with deproteinized bovine bone graft (Bio-Oss) and covered with absorbable collagen membrane (Bio-Gide). The control group’s sockets healed without any treatment. Panoramic radiograph and computed tomography were taken immediately after graft and 3 and 6 months later to evaluate the height, width, and volume change of the alveolar ridge bone. Dental implants were inserted in all sockets at 6 months, and osseointegration condition was evaluated in the following 12 months. All sockets healed uneventfully. In the trial group, the mean (SD) height reduction of the alveolar ridge bone was 1.05 (0.24) mm at 3 months and 1.54 (0.25) mm at 6 months. The width reduction was 1.11 (0.13) mm at 3 months and 1.84 (0.35) mm at 6 months. Bone volume reduction was 193.79 (21.47) mm3 at 3 months and 262.06 (33.08) mm3 at 6 months. At the same trend, in the control group, the bone height reduction was 2.12 (0.15) mm at 3 months and 3.26 (0.29) mm at 6 months. The width reduction was 2.72 (0.19) mm at 3 months and 3.56 (0.28) mm at 6 months. Bone volume reduction was 252.19 (37.21) mm3 at 3 months and 342.32 (36.41) mm3 at 6 months. There was a significant difference in alveolar ridge bone height, width, and volume reduction in the 2 groups. The osseointegration condition had no significant difference between the 2 groups. This study suggested that the deproteinized bovine bone graft and absorbable collagen membrane were beneficial to preserve the alveolar ridge bone and had no influence on the osseointegration of delayed implant.
DEVELOPMENT OF THE BUILDING DAMAGE SELF-INSPECTION SYSTEM FOR EARTHQUAKE DISASTER

This paper presents a method for inspecting the building damage, which can be carried out by the disaster victim themselves. It is well known that the building damage survey is one of the important issues for estimating the size of damage by disasters. There are two independent damage surveys in Japan, one is for evaluating the building safety for occupancy, and the other one is for evaluating the losses by the disaster. Local governments have based the apportionment of monetary, donations, allotment of temporary housing, and other recovery related benefits on the loss evaluation. The guidelines for the inspections of loss evaluation are already released, however, from the past earthquake experiences, there are several issues that need to improve from technical and operational points of view. This paper analyzes such building damage inspection processes and proposes a self-inspection system that can be used for a non-expert.
Retinal image enhancement using Laplacian pyramidal multi-scaling

Early detection of retinal diseases is important to avoid complications and permanent vision loss. In this paper retinal neovascularization and molecular degeneration has been emphasized. Neovascularization is in form of randomly disoriented micro vessels in retina. So image enhancement techniques are excellent way to extract the vessels, find out blood leakages, determine direction of growth and estimate the growth rate with vessel localization. A comparative study has been done on prior retinal image enhancement algorithms. In this project multi-scale image analysis is used as main image enhancement technique with the help of Laplacian Pyramid. The target is achieved by translating an image into several image scales and reconstructing with enhancement tools available in MATLAB image processing toolbox. Results are evaluated with object background contrast ratio, contrast-noise-ratio and 2-D contour plot. The enhanced images appear as a better source for edge detection and vessel extraction compare with the primary image. For this project normal fundus images from publicly available database are chosen.
The Wave-Matching Boundary Integral Equation — An energy approach to Galerkin BEM for acoustic wave propagation problems

In this paper, a new Boundary Integral Equation (BIE) is proposed for solution of the scalar Helmholtz equation. Applications include acoustic scattering problems, as occur in room acoustics and outdoor and underwater sound propagation. It draws together ideas from the study of time-harmonic and transient BIEs and spatial audio sensing and rendering, to produce an energy-inspired Galerkin BEM that is intended for use with oscillatory basis functions. Pivotal is the idea that waves at a boundary may be decomposed into incoming and outgoing components. When written in its admittance form, it can be thought of setting the Burton–Miller coupling parameter differently for each basis function based on its oscillation; this is a discrete form of the Dirichlet-to-Neumann map. It is also naturally expressed in a reflectance form, which can be solved by matrix inversion or by marching on in reflection order. Consideration of this leads to an orthogonality relation between the incoming and outgoing waves, which makes the scheme immune to interior cavity eigenmodes. Moreover, the scheme is seen to have two remarkable properties when solution is performed over an entire obstacle: (i) it has a condition number of 1 for all positive-real wavenumber k on any closed geometry when a specific choice of cylindrical basis functions are used; (ii) when modelling two domains separated by a barrier domain, the two problems are numerical uncoupled when plane wave basis functions are used — this is the case in reality but is not achieved by any other BIE representation that the authors are aware of. Normalisation and envelope functions, as would be required to build a Partition-of-Unity or Hybrid-Numerical-Asymptotic scheme, are introduced and the above properties are seen to become approximate. The modified scheme is applied successfully to a cylinder test case: accuracy of the solution is maintained and the BIE is still immune to interior cavity eigenmodes, gives similar conditioning to the Burton–Miller method and iterative solution is stable. It is seen that for this test case themajority of values in the interaction matrices are extremely small and may be set to zero without affecting ∗ Corresponding author. E-mail address: j.a. hargreaves@salford.ac. uk (J.A. Hargreaves). https://doi.org/10.1016/j.wavemoti. 2018.07. 003 0165-2125/© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/). J.A. Hargreaves and Y.W. Lam / Wave Motion 87 (2019) 4–36 5 conditioning or accuracy, thus the linear system become sparse a property uncommon in BEM formulations. ©2018 TheAuthors. Published by Elsevier B.V. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
Deep Learning for Continuous Control

One approach to trial intensive robotic learning, especially the even more data intensive Deep Learning, is the transfer of knowledge gained from virtual simulations to the real world. Therefore, researchers use sensory rich simulations such as the Neuro Robotics Platform developed within the Human Brain Project to simulate robot experiments. This bachelor’s thesis extends the Neuro Robotics Platform to rate-based neural networks. The extension is achieved through a TensorFlow ROS interface, where TensorFlow is used to simulate rate-based neural networks. The interface and the TensorFlow models are capable of simulating the state-of-the-art Multi Actor-Learner system and processing data in real time. The complete system achieves control loop frequencies of greater than 500Hz for reasonable neural network sizes. Additionally, this work demonstrates the applicability of the system by implementing a robot steering controller and a reaching trajectory planner via Deep Learning. Deep Learning for Continuous Control i
Evaluation of treatment efficiency and duckweed production in the polishing of stabilization pond WWTP effluent

The aim of this research was to evaluate the efficiency of a duckweed pond in the polishing of a stabilization pond effluent, as well as quantify its biomass production. The experiments was conducted in pilot scale pond with HRT of 3.8 days, using the stabilization pond WWTP effluent. Samples were collected before and after duckweeds pond for analyses of the parameters: pH, DO, temperature, TN, TP, COD, total solids, BOD5 and E. coli. The duckweeds were harvested every 7, 14 and 21 days for quantification of its production. There was great variation in biomass production. The evaluated treatment system obtained adequate results, being a simple and efficient technology for the ponds effluent polishing. Once an adequate destination is given to the produced biomass, the WWTP can work in a sustainable and integrated way.
Occipital nerve stimulation for chronic migraine: A randomized trial on subthreshold stimulation

Introduction Occipital nerve stimulation (ONS) may provide pain relief in migraine patients. In this double-blinded trial we investigated the significance of paresthesia and possible placebo effects. Methods Patients already treated with ONS reporting stable treatment effect were included. “Effective stimulation,” “subthreshold stimulation” and “no stimulation” were compared. Patients cycled through all three treatment groups. Outcome was measured using the visual analog scale (VAS) for pain, McGill Pain Questionnaire and SF-36. Results Eight patients were included, mean preoperative VAS was 8.20 ± 1.22. A significant improvement in pain was observed in favor of suprathreshold stimulation compared to subthreshold stimulation (1.98 ± 1.56 vs 5.65 ± 2.11). Pain also significantly improved under subthreshold stimulation compared to no stimulation (5.65 ± 2.11 vs 8.45 ± 0.99). No changes in SF-36 were observed. Conclusions Paresthesia is not required to achieve pain reduction but suprathreshold stimulation yields better results, underlining the significance of stimulation parameter customization.
Study for Testing a New Proposed Methodology for Evaluation of Liquefaction Potential Analysis on Base of a Generated Geotechnical Based Computer Code

The seismic response of existing earth dams in Iran is important after an earthquake both to provide emergency supplies and to society as well as to ensure structural safety in engineering terms. Better seismic capacity of earth dam results in less structural damage and reduced impacts following an earthquake disaster. Indirect as well as direct costs following earthquakes have gained much attention from both the engineering and socio-economic research communities in last few decades. This study is a valuable tool used to study the response of geotechnical structures to infrequent or extreme events such as earthquakes. The Avaj earthquake (2002, Iran) was applied to a series of model tests which was conducted to study the response of soil profiles under seismic loading. The acceleration records at different locations within the soil bed and at its surface along with the settlement records at the surface were used to analyze the soil seismic response. A combination of several software packages with a generated visual user interface computer code by authors named as “Abbas Converter” were employed to evaluate the variation of shear modulus and damping ratio with shear strain amplitude to assess their effects on site response. The proposed method was applied to the Korzan earth dam of Hamedan province in Iran. Site response analysis using the measured shear wave velocity, estimated modulus reduction and damping ratio as input parameters produced good agreement with the computed site response in this study.
Limits to the Accuracy of 3 D Thickness Measurement in Magnetic Resonance Images

Measuring the thickness of sheet-like (or plate-like) anatomical structures, such as articular cartilages and brain cortex, in 3D magnetic resonance (MR) images is often an important diagnostic procedure. The purpose of this paper is to investigate the fundamental limits to the accuracy of thickness determination in MR images. Given imaging and postprocessing parameters, the characteristics of thickness determination accuracy are derived by means of a theoretical simulation method, focusing especially on the effect of sheet structure orientation on accuracy in the case of noncubic (anisotropic) voxels. The theoretical simulation was validated by in vitro experiments.
Design of SIW based Millimeter wave Chipless Identification Tag for Low Cost Application

In this paper, a novel concept to implement millimeterwave substrate integrated waveguide-based circuits for chipless identification application has been demonstrated. The proposed design utilizes a pair of compact half mode SIW cavity to encode the interrogating signal and resend the signal through the open-end aperture of the cavity. Thus, the encoding resonator itself has been utilized as radiator (a)1 of the interrogating signal which helps to improve the compactness of the design. The complete design has been realized in K band making physical size of the circuit very small which makes it attractive for practical application.
Investigation of cryoprotection on the viability of freeze dried probiotics

Aims: The aim of the present work was to evaluate the effect of various cryoprotective agents on the survival of freezedried probiotic Lactobacillus rhamnosus. Methodology and results: Investigation was done on the viability and stability of probiotics L. rhamnosus. The effect of different cryoprotective agents (namely, sodium chloride, sucrose, dextran, sorbitol, monosodium glutamate, glycerol, skim milk and skim milk with malt extract) with modified De-Man Rogosa Sharpe (MMRS) medium were examined. Commercial De-Man Rogosa Sharpe (MRS) medium was proved to be more expensive than the modified MRS medium with relatively low yield of probiotics L. rhamnosus. Significantly high viable counts were achieved with monosodium glutamate, skim milk and skim milk with malt extract, with optimum concentration at 0.3% w/v. There was a reduction in cell viability at concentration above 0.5% w/v, which could be attributed to cell shrinkage associated with osmotic pressure changes. The cells were found to be stable at room temperature (28 °C) for eight weeks. A significant growth of probiotics was produced from skim milk. Conclusions: Modified MRS medium with skim milk is suggested for the remarkable growth and yield of probiotic
A Pattern‐Mixture Model for Longitudinal Binary Responses with Nonignorable Nonresponse

Summary. Longitudinal studies frequently incur outcome‐related nonresponse. In this article, we discuss a likelihood‐based method for analyzing repeated binary responses when the mechanism leading to missing response data depends on unobserved responses. We describe a pattern‐mixture model for the joint distribution of the vector of binary responses and the indicators of nonresponse patterns. Specifically, we propose an extension of the multivariate logistic model to handle nonignorable nonresponse. This method yields estimates of the mean parameters under a variety of assumptions regarding the distribution of the unobserved responses. Because these models make unverifiable identifying assumptions, we recommended conducting sensitivity analyses that provide a range of inferences, each of which is valid under different assumptions for nonresponse. The methodology is illustrated using data from a longitudinal study of obesity in children.