Miracle-dz/UniFAR-FTUs huggingface dataset:
An unequal Gysel power divider based on circuit transformation

This article presents an unequal Gysel power divider (UGPD) based on circuit transformation, which is converted from a Π‐ to a T‐type circuit. The Π‐type circuit of a conventional unequal Gysel divider consists of two different value resistors and its connection transmission line. In the proposed T‐type circuit, the dummy transmission line and the other transmission line with shunt resistor at center position is connected in parallel. Theoretical analysis was performed to derive the design equations for the proposed circuit conversion. For the validation of the circuit transformation, the UGPD using a T‐type circuit at the center frequency of 2 GHz was fabricated and measured. The measured characteristics agreed well with the simulation results. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1529–1531, 2015
Study on Mechanical Properties of Foamed Concrete Incorporating Palm Oil Fuel Ash and Mussel Shell as Partial Cement Replacement

Concept of sustainable construction has gradually become one of the concern issues in our construction industry in recent years. Concrete which acts as an important construction material has contributed to excessive consumption of natural resources. Simultaneously, tonnes of waste materials were produced from agricultural activity in form of palm oil fuel ash (POFA) while mussel shell from marine hatchery. Utilization of agricultural waste as cement replacement is an option to reduce the environmental impact from the construction industry. In this study, these waste materials were used as partial cement replacement to produce foamed concrete in wet density of 1800 kg/m3. The main purpose of this research is to study the workability and mechanical properties of foamed concrete which contain uniform 20% of POFA combined with 5% to 10% of mussel shell powder (MSP) and mussel shell ash (MSA) respectively. The cube specimens were cast in dimension 100 mm x 100 mm x100 mm to test the compressive strength at 7th and 28th. The cylinder specimens were cast in 100 mm diameter x 200 mm diameter for split tensile test to determine the tensile strength and compression test to determine modulus of elasticity at 28th day. The result showed workability of foamed concrete decreased as more cement was replaced by POFA combined with MSP and MSA. Foamed concrete mixture with 20% POFA and 5% MSP was selected as optimum percentage of cement replacement due to reduction less than 5% compromised performance in compressive strength at 16.52MPa while tensile strength at 1.83MPa.
Research on Synchronization Mechanism of Artificial Intelli-gence Model Based on Belief Measure and Its Application in Pumped Storage Power Station

For the security monitoring of pumped storage power station, a model synchroniza-tion mechanism for cloud edge cooperation framework is proposed. The method uses the belief function to describe the threshold and uses the ping-pong operation strategy to update the model alternately, which solves the problem of artificial intelligence model synchronization and update of edge equipment. The cloud is based on Baidu BML platform, the edge uses customized servers, and the average model update cycle is about three months.
Study on Signal De-Noising for Vehicle Active Anti-Collision Warning Radar

The Vehicle Active Anti-collision Warning system often adopts the millimeter-wave radar with linear frequency-modulated continuous (FMCW) system as its signal acquisition and processing device. Affected by the road environment and their own devices, intermediate frequency (IF) signal inevitably exist in a variety of interference and noise. This paper proposed an iterative Kalman filter algorithm to remove the noise from IF signal. And used of MATLAB to do the simulation analysis. The analysis results show that the improved algorithm enhances the precision of de-noising effectively and meet the requirements of real-time and accuracy.
A Review on Edge Detection on Osteogenesis Imperfecta (OI) Image using Fuzzy Logic

Osteogenesis Imperfecta (OI) is a bone disorder that causes bone to be brittle and easy to fracture. The patient suffered from this disease will have poor quality of life. Simulation on the bone fracture risk would help medical doctors to make decision in their diagnosis. Detection of edges from the OI images is very important as it helps radiologist to segmentize cortical and cancellous bone to make a good 3D bone model for analysis. The purpose of this paper is to review the fundamentals of fuzzy logic in edge detection of OI bone as it is yet to be implemented. Several fuzzy logic concepts are reviewed by previous studies which include fuzziness, membership functions and fuzzy sets regarding digital images. The OI images were produced by modalities such as Magnetic Resonance Imaging (MRI), Ultrasound, or Computed Tomography (CT). In summary, researchers from the reviewed papers concluded that fuzzy logic can be implemented to detect edges in noisy clinical images.
Ultrashort-pulse reflectometer performance on Sustained Spheromak Physics Experiment

Time-resolved density profiles on the Sustained Spheromak Physics Experiment device are now generated automatically from data collected by an ultrashort-pulse reflectometry (USPR) diagnostic comprised of 24 frequency channels spanning 34–75 GHz. Upgrades in USPR timing electronics and reconstruction software, coupled with new low noise amplifiers and reduced bandwidth filters, have significantly decreased amplitude and timing jitter enabling simultaneous density profile and multilayer density fluctuation operation. Hardware and software components of the upgraded USPR system are described, and sample profile and fluctuation data are presented. A new system layout is proposed to increase the USPR dynamic range by 8–10 dB.
A Micro-flow Phantom for Superficial Micro-vasculature Imaging

Visualization of cutaneous micro-vasculatures is a powerful approach assisting in the diagnosis of skin vascular disorders. These minute structures can be visualized by high-frequency ultrasound (HFUS) using ultrafast Doppler imaging. Ultrasound flow phantoms have been used as assessment tools to evaluate the performance of the ultrasound imaging system, however, to optimize the imaging system for visualization of micro-structures, flow phantom with micro-channels is required which are usually difficult to fabricate. Here, we design a simple approach for micro-flow phantom which is easy to fabricate and cast for detection of micro-circulation in superficial micro-structures. The proposed approach features (i) the micro-channels of 200-micron at the depth of 4 mm (ii) casted in the cryogel mixture of Poly-vinyl alcohol (PVA) and (iii) infused at flow speed of 30 mm/s using infusion pump. Visualization of micro-flow channel in power Doppler image obtained by HFUS ultrafast Doppler imaging reveals that the proposed micro-flow phantom could serve as a viable assessment tool for optimizing the system for in-vivo cutaneous micro-vasculature imaging.
NEW METHODS FOR THE DESIGN OF PRODUCTS THAT SUPPORT SOCIAL ROLE TRANSITIONS

Abstract As designers transition from traditional HCI practice to experience design, they need new methods that connect experience theories to design practice. Research on product attachment – detailing why people love their stuff – indicates that attachment develops as people use products to discover who they are and desire to be. This finding hints at a design opportunity for products that support social role transition, when people must invent themselves in a new role. In advancing experience design, the authors chose to connect the theory on product attachment to design practice by developing two new design methods. They began a pilot project to design applications that could support first-year college students as they shed their high school identities to become college students. This paper documents the development of these methods, detailing the authors’ application of these in a pilot study. In addition, it shares the authors’ reflections on the effectiveness of these methods and on the larger issu.
Modelling of Retinal Images for Analysis of Diabetic Retinopathy Severity Levels

Synthetic data by various algorithms that resemble actual data in terms of statistical features. Computer-aided medical applications have been extensively applied to model specific scenarios, such as medical imaging of retinal images for diabetic retinopathy (DR) detection. The available data and annotated medical data are typically rare and costly due to the difficulties of conducting medical screening and rely on highly trained doctors to review and diagnose. The modelling of retinal images for DR analysis is essential since it will provide a model to guide and test DR detection algorithms. This paper aims to model normal retina and non-proliferative diabetic retinopathy (NPDR) stages (mild, moderate, and severe) data models with the variation of dynamic models. The Digital Retinal Images for Vessel Extraction (DRIVE), The Standard Diabetic Retinopathy Database, Calibration Level 1 (DIARETDB1), and E-OPHTHA datasets are analyzed to obtain the specification of the human retina and DR lesions. In the data modelling phases, the model includes the bright and dark retinal lesions with the variation of dynamic parameters. 4100 synthetic images are used where 200 normal images and 3900 NPDR images to test the performance of DR detection algorithms over the full range of parameters.
A new asset value estimation using zero profit method for renovation planning of high voltage equipment in power substation

Summary This paper presents a new asset value estimation of high-voltage equipment for renovation planning in power substation. The high-voltage equipment includes power transformer, high-voltage circuit breaker, current transformer, voltage transformer, disconnecting switch, and surge arrester in 115 and 230 kV substations. The zero profit method is applied to estimate the asset value of equipment. To obtain the zero profit, the summation of maintenance cost and outage cost are annually compared with the remaining asset value. At the point of zero profit, the useful lifetime of equipment is given. From this point onwards, the utility obtains risk from further usage of equipment because the total maintenance and outage costs are greater than the remaining asset value. Additionally, the utility encounters the high risk to outage according to high probability of failure of the degraded equipment. The asset value and useful lifetime estimation of high-voltage equipment in two 115 kV power substations in Thailand transmission network are presented. The asset value of all equipment and bays in such power substations are evaluated in order to prioritize the maintenance tasks of equipment and bays. This zero profit method is a simple but powerful tool to determine the net asset value of existing equipment, which can significantly help the utility to allocate the tight budget, to plan the effective maintenance of equipment and to make a decision whether to repair or to replace of the aged equipment. Copyright © 2013 John Wiley & Sons, Ltd.
Pedestrian-Friendly Environments and Active Travel for Residents of Multifamily Housing

This article examines the relationship of the built environment to physical activity in suburban multifamily housing developments in a medium-sized city, testing Alfonzo’s (2005) model of decisions regarding active travel. All complexes were within one-quarter mile of a shopping area with a major grocery store, but varied in pedestrian friendliness. Survey data were gathered on travel behavior to the stores, sociodemographic characteristics, preferences for an “active” environment, and perceptions of the extent to which their environment promoted activity. Multilevel analyses showed that residents in more pedestrian-friendly areas had significantly more active travel and less driving travel, indicating a substitution, rather than a supplementation, effect. Results remained when preferences for an “active” environment were controlled and, in most cases, when perceptions of the environment were controlled. It is suggested that Alfonzo’s model of decisions regarding walking behavior be amended to include direct influences of urban form on travel behavior.
Construction management and economics: the epistemology of a multidisciplinary design science

Research in the field of construction management and economics (CME) can be characterized as a multidisciplinary design science. Results from the sciences and humanities are necessary inputs for this field of research that deals with design, production and operation of the built environment. The output of CME research as multidisciplinary design science consists of three types of solution concepts: empirical generalizations based on statistical data analysis (technological laws), concepts that specify what to do, if a certain result is to be attained under given circumstances (functional rules), and insights in the interrelationship between design, production and operation of the built environment and social practice (socio‐technological understanding). Scientific justification of these solution concepts is obtained through testing them in the specific context of the built environment.
Today’s Research on Aging – Issue 34, November 2016

1 During the past century, life expectancy in most countries has increased rapidly with advances in public health and living standards, improved diet, and rising levels of education. In 1900, life expectancy in the United States was 47 years. By 2014, U.S. life expectancy had increased to 79 years, and those who reached age 65 could expect to live another 19 years. A growing number of older adults have “exceptional longevity”—typically defined as living to age 95 or 100 or older. Centenarians, or people age 100 or older, make up a small share of U.S. older adults, but their numbers are expected to increase rapidly in the coming decades as the large baby boom population ages (see Box 1, page 2). The increase in life expectancy in the United States and elsewhere is a public health success story. However, people surviving into their 80s, 90s, and beyond also experience a higher risk of age-related health problems and disability. Scientists hope to slow the process of aging to extend people’s lives and increase the number of years that they spend in good health and disability free, a period of life called “health span. ” Most people know about the importance of eating a healthy diet, exercising, maintaining a healthy weight, and avoiding smoking to prevent disease and increase longevity. But researchers have identified many other factors—including genetics, social connections, early-life experiences, and even certain personality traits—that may affect life expectancy. This report highlights recent work by National Institute on Aging (NIA)-supported researchers to answer two main questions: 1) What do we know about the key social, behavioral, and genetic determinants of longevity and
Analysis of electrical interferences related to the current collection quality in pantograph–catenary interaction

The dynamic interaction between a pantograph and a catenary influences the quality of the current collection; in particular, when two pantographs are used to collect current, the second pantograph is subjected to the disturbances originated on the overhead line by the transit of the first pantograph, generally causing a deterioration of current collection quality. Under these conditions, the occurrence of continuous sparking, contact loss, and arcing cause an increase of wear for both contact wire and collector strips, but also cause variations of contact voltage and feed current that in turn produce interferences on the on-board electrical systems like drive motors and signalling system. In order to investigate the latter, a procedure for the correlation of the quality of current collection with the level of electrical interference is proposed in this article. The procedure is based on experimental and numerical models combining relationships obtained by means of laboratory tests with simulation tools. An application to a real case of double pantograph collection is presented.
IMPORTANT CONSIDERATIONS FOR LOCATING BURIED AGRICULTURAL DRAINAGE PIPE USING GROUND PENETRATING RADAR

Enhancing the efficiency of soil water removal on land already containing a subsurface drainage system typically involves installing new drain lines between the old ones. However, the older drainage pipes need to be located before this approach can be attempted. In ongoing research, a near-surface geophysical method, ground penetrating radar (GPR), has been successful in locating on average 72% of the total amount of drainage pipe present at 13 test plots in southwest, central, and northwest Ohio. The effective use of GPR for drainage pipe detection requires careful consideration of computer processing procedures, equipment parameters, site conditions, and field operations, all of which were thoroughly investigated in this study. Application of a signal saturation correction filter along with a spreading and exponential compensation gain function were the computer processing steps most helpful for enhancing the drainage pipe response exhibited within GPR images of the soil profile. GPR amplitude maps that show the overall subsurface drainage pipe system required additional computer processing, which included 2-D migration, signal trace enveloping, and in some cases, a high frequency noise filter and a spatial background subtraction filter. Equipment parameter test results indicate that a 250-MHz antenna frequency worked best, and that data quality is good over a range of spatial sampling intervals and signal trace stacking. In regard to the site conditions present, shallow hydrology, soil texture, and drainage pipe orientation all substantially influence the GPR response. Additionally, drainage pipe that are as small as 5 cm (2 in.) in diameter can be detected. However, the fired clay or plastic material of which the drainage pipe is comprised does not appear to have much of an impact. Finally, with respect to GPR field operations, bidirectional surveys offer the best chance for finding all the buried drainage pipe possible, and for displaying a subsurface drainage system on an amplitude map, the narrower the spacing between GPR measurement lines, the better the result. Although it is important to note that the amplitude maps generated with a wider spacing between GPR measurement lines, still provided plenty of useful data on drainage pipe location. The information supplied by this study can be employed to formulate guidelines that will enhance the potential of success for using ground penetrating radar in locating buried agricultural drainage pipe.
Improvement of hand functions of SCI patients with EMG-driven hand exoskeleton: a feasibility study

We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from a practical EMG control strategy conducted with spinal cord injury (SCI) patients (C5, C6 and C7) in which the subjects completed daily tasks controlling Maestro with electromyography (EMG) signals from their forearm muscles. With its compliant actuation and its degrees of freedom (DOF) that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test (SHFT), and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects.
Comprehensive study of a novel immune-related lncRNA for prognosis and drug treatment of cervical squamous cell carcinoma

A comprehensive study focusing on immune-related long non-coding RNAs (lncRNAs) in cervical cancer (CC) was performed. Through the integration of TCGA data, a total of 266 immune-related lncRNAs were obtained. We defined all samples as an entire set, and randomly divided them into train set and test set at a ratio of 1:1. Univariate, LASSO and multivariate Cox regression analyses were carried out based on train set for key lncRNAs (UBL7-AS1, AC083809.1, LIPE-AS1, PCED1B-AS1, ELFN1-AS1 and NCK1-DT) to construct a prognostic model, while the others were used for validation. The overall survival (OS) suggested that we may have longer survival expectations for patients classified into the low-risk group. The P values of risk score in univariate analysis and multivariate analysis were all less than 0.05, indicating the ability of risk score to independently assess the prognosis of patients. For clinical application, a nomogram with a high degree of agreement between the predicted curve and the actual curve was constructed. Subsequently, immune status and chemotherapy response were investigated in two prognostic subtypes. The associations between risk score and immune cell were estimated, in which CD8+ T cells showed the highest positive correlation and activated mast cell showed the highest negative correlation. In addition, checkpoint proteins (CTLA4, LAG3, PD-1, and TIGIT) showing negative correlation with risk score were found to be upregulated in low-risk group. A total of 3 chemotherapy drugs including paclitaxel, vinorelbine and methotrexate were considered effective in patients of high-risk group. Using 6 key immune-related lncRNAs, we identified two prognostic subtypes and provided new insights for CC immunotherapy.
Representation Learning on Spatial Networks

Spatial networks are networks for which the nodes and edges are constrained by geometry and embedded in real space, which has crucial effects on their topological properties. Although tremendous success has been achieved in spatial and network representation separately in recent years, there exist very little works on the representation of spatial networks. Extracting powerful representations from spatial networks requires the development of appropriate tools to uncover the pairing of both spatial and network information in the appearance of node permutation invariant, and rotation and translation invariant. Hence it can not be modeled merely with either spatial or network models individually. To address these challenges, this paper proposes a generic framework for spatial network representation learning. Speciﬁcally, a provably information-lossless and rotation-translation invariant representation of spatial information on networks is presented. Then a higher-order spatial network convolution operation that adapts to our proposed representation is introduced. To ensure efﬁciency, we also propose a new approach that relied on sampling random spanning trees to reduce the time and space complexity from O ( N 3 ) to O ( N ) . We demonstrate the strength of our proposed framework through extensive experiments on both synthetic and real-world datasets. The code for the proposed model is available at https://github.com/rollingstonezz/SGMP_code .