Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic variation monitor for measuring the impact of voltage droops on microprocessor clock frequency

A 45nm microprocessor integrates an all-digital dynamic variation monitor (DVM), consisting of a tunable replica circuit with a time-to-digital converter, to measure the impact of dynamic variations on path-level delay or frequency. Measurements reveal the high sensitivity of the microprocessor maximum clock frequency (FMAX) to the placement and magnitude of a high-frequency supply voltage (VCC) droop and demonstrate the DVM capability of tracking FMAX changes to within 1% for a wide range of VCC droop profiles. Furthermore, the DVM interfaces with an adaptive clock control circuit to dynamically change the clock frequency in response to dynamic variations, enabling the microprocessor to operate at maximum efficiency.
SmartHealthy Coupons : A dynamic coupon model that fulfills user preferences with healthier options

In this paper we will discuss the increasing costs of the obesity epidemic and how current dynamic coupon systems are likely exacerbating the issue. We propose a solution by sorting dynamically recommended coupons by the healthfulness of each product using an algorithm designed by NuVal, Inc. We explain in detail how this system would operate; how the user experiences these coupons; the design decisions for working with manufacturers, retailers and stores; levels of evaluating the system; possible issues that could arise; what I have learned along the way; and potential next steps. Author
Multimodal Ensemble Fusion for Disambiguation and Retrieval

In this article, the authors identify the correlative and complementary relations among multiple modalities. They then propose a multimodal ensemble fusion model to capture the complementary relation and correlative relation between two modalities (images and text) and explain why this ensemble fusion model works. Experimental results on the University of Illinois at Urbana-Champaign Image Sense Discrimination (UIUC-ISD) dataset and the Google-MM dataset show that their ensemble fusion model outperforms approaches using only a single modality for disambiguation and retrieval. Word sense disambiguation and information retrieval are the use cases they studied to demonstrate the effectiveness of their ensemble fusion model.
Design, Simulation, and Fabrication of Microneedles and a Blood Filter for Use in a Hemofiltration System

This paper deals with the design of a new hemofiltration system that consists of a blood transport device, a blood filtration device, a drug delivery device, flow sensors, blood pressure sensors, and the required control electronic circuits. The simulation and fabrication of microneedles and hemofilter have been performed. Silicon microneedles with length <formula formulatype="inline"> <tex Notation="TeX">$({L}) =\hbox{ 200}\ \mu$</tex></formula>m, internal diameter <formula formulatype="inline"><tex Notation="TeX">$({\rm Di}) =\hbox{ 60}\ \mu$</tex> </formula>m, and outer diameter <formula formulatype="inline"><tex Notation="TeX">$({\rm Do}) =\hbox{ 150}\ \mu$</tex></formula>m have been successfully fabricated using inductive coupled plasma (ICP) etching technology for drug delivery. An aluminum (Al)-based hemofilter with hexagonal pores has been fabricated for blood filtration. Strength modeling and microfluidic analyses of the hemofilter have been conducted in finite element software to envisage structural properties and to model blood flow through the hexagonal pores. Simulation results show that a flow rate of 488.43 <formula formulatype="inline"> <tex Notation="TeX">$\mu$</tex></formula>L/min has been obtained at a driving pressure of 250 kPa through a hemofilter with hexagonal pores. Transient multifield analysis of the blood transport device (double lumen, side open, reservoir-based microneedles integrated with a piezoelectric actuator) has been conducted using the finite element method. The effects of actuator thickness, applied frequency and voltage on fluid flow rate have been investigated using the blood transport device. A maximum flow rate of 475 <formula formulatype="inline"> <tex Notation="TeX">$\mu$</tex></formula>L/min has been observed through 25 microneedles at an applied voltage of 125 V with a frequency of 250 Hz.
Fracture and damage analysis of a cracked body by a new boundary element model

Based on the concept of discontinuity displacement, an analytical solution for cracked thin plates has been derived in which displacements and stresses in a solid can be expressed by the linear distributed discontinuity displacements on the whole boundary. By way of the potential variational principle and the analytical solution newly developed, a boundary element model for 2D multiple crack problems has been presented and applied to fracture and damage analysis of thin plates with many cracks. Two numerical examples are considered to illustrate applications of the proposed element model.
Association of the Oncostatin M Receptor Gene Polymorphisms with Papillary Thyroid Cancer in the Korean Population

Objectives To investigate the association between papillary thyroid cancer (PTC) and single nucleotide polymorphisms (SNPs) of oncostatin M receptor (OSMR) in the Korean population. Methods Retrospective case-control study was done. Eighty-five patients with PTC and 287 controls were studied. One missense SNP (rs2278329, Asp553Asn) and one promoter SNP (rs2292016, -100 G/T) of the OSMR gene were genotyped by direct sequencing. Genetic data were analyzed using the SNPStats, Helixtree, and SNPAnalyzer Pro. PTC patients were dichotomized and compared with respect to the clinicopathologic characteristics. Results There was no association between genotypes and allele frequencies of OSMR SNPs (rs2278329 and rs2292016) and PTC susceptibility. SNP rs2278329 was significantly associated with tumor size (dominant model; P=0.028; odds ratio [OR], 2.71; 95% confidence interval [CI], 1.12 to 6.57). The A allele was higher in sizes large than 1 cm (32.5% vs. 16.7%; P=0.018; OR, 2.41; 95% CI, 1.17 to 4.98). Regarding the number of tumors, we found no significant association with genotype, however, the A allele was higher in patients with multifocaltiy (33.3% vs. 19.1%; P=0.040; OR, 2.12; 95% CI, 1.03 to 4.34). Conclusion The results suggest that OSMR polymorphism rs2278329 is associated with clinicopathologic characteristics of the tumor growth and multifocality development.
Appearance-based object recognition using support vector machines

Support vector machines (SVM) are a class of algorithms derived from the statistical learning theory that are receiving growing interest by the computer vision community as they present some advantages over classical techniques. This work investigates the ability of SVM to perform appearance-based object recognition. Initial experiments indicated that this may be a promising approach to the problem.
Residential demand response: An overview of recent simulation and modeling applications

This paper reviews recent simulation and modeling applications of residential demand response including demand response enabled load models, home energy management systems, and multi-agent systems. Demand response implementation in residential sectors is a recent effort to improve efficiency of the electricity market and stability of the power system. The benefits are significant; however the investment and potential risks are nonnegligible. Simulation and modeling is a desirable way to identify and quantify impacts and benefits of demand response applications. The two main aims of these applications are to reduce electricity peak demand and to match the demand with renewable energy. The flexible demand aspect enables time-shift electricity consumption by bringing forward or delaying the use of appliances. Therefore, developing applicable residential load models and efficiency home energy management systems are critical issues to allow incorporation of dynamic electric use patterns. Multi-agent systems allows evaluating various components of further power system or smart grid including distributed generator, microgrid, distribution intelligence, etc.
Fractional Base Station Cooperation Cellular Network

In modern cellular systems, high-rate communication is performed using MIMO transmission by a Single Base Station (BS). This method is able to improve the transmission rate when the user is at the cell-inner. However the rate severely degrades when the user is located at cell-edge. Base Station Cooperation (BSC) MIMO is solve the cell-edge problem. BSC MIMO can improve capacity at the cell-edge than FFR or TAA cancellation, however, it has minimal impact on cell-inner users and increases complexity of the network. In this paper, Fractional Base Station Cooperation Cellular Network (FBSC-CN) is proposed in which a combination of Single BS MIMO and BSC Multiuser (MU) MIMO is performed in order to achieve gains both at the cell-inner and cell-edge with limited complexity. Furthermore, by cooperating with each BS autonomously and distributedly, cooperative BSs are able to select the most suitable transmission schemes to the users accordingly.
Early Literacy in Informal settings: Supporting Home Literacy Practices

Early literacy is a key factor in a child’s development in the years before they start school. It often is used as one of the key indicators of a child’s early development, and as shown in various longitudinal studies, it affects the way children progress through school and their later life. As the evidence of the benefits of early intervention accumulates, there needs to be more recognition of the place of early literacy within early intervention strategies in disadvantaged communities. A significant proportion of children, living in disadvantaged communities, and outside the formal early childhood system (pre-school, long day care or occasional care), start school with little exposure to any significant level or range of early literacy practices. This paper reports on a qualitative study with Aboriginal and CALD mothers and carers in an inner city part of Sydney, who attended mothers groups or supported playgroups. Taking a socio-cultural approach the study explores the views of front-line community workers and the experiences of mothers and carers with early literacy in a range of informal community based settings and programs. The research has implications for the development of strategies to support the development of programs in informal settings and the development of strategies to engage and support parents and carers.
Performance Analysis of Four Layer Clustering Network Using Enhanced Deterministic Energy-Efficient Clustering Protocol in Wireless Sensor Network

A wireless network consists of geographically distributed sovereign devices and uses sensors for cooperative monitoring physical conditions. It comprises number of small, and relatively inexpensive and low-power sensors that are connected to the wireless network, constituting a wireless sensor networks (WSNs). They had a wide range of applications e.g. In physiological monitoring, environmental applications, military applications and home security etc. We have developed a purely deterministic model using a Enhanced Deterministic Energy-efficient Clustering Protocol (EDEC) by clustering nodes to organize the WSN. The EDEC is dynamic, distributive, self-organized and more energy efficient than the existing protocols. Simulation results showed a better performance with respect to energy consumption, which is reflected in the network lifetime under both homogeneous and heterogeneous settings, when compared with the existing protocols. The approach estimates an optimal solution for the balanced energy consumptions in ordered wireless sensor networks.
Automated Optimization of Void Pantograph Settings

External Posting Date: October 6, 2011 [Fulltext] Approved for External Publication Internal Posting Date: October 6, 2011 [Fulltext]  Copyright 2011 Hewlett-Packard Development Company, L.P. Automated Optimization of Void Pantograph Settings Jason S. Aronoff, Steven J. Simske, Margaret Sturgill
Ontology Building: an Application in Food Risk Analysis

This paper presents the methodological steps we followed to build an ontology in the food risk analysis domain. In the first, or preparation phase, we defined the domain and scope. In the second or building phase, first, an ontology was created using a representative subset of food risk assessment reports. Then, the ontology was refined taking into account the entire set of 74 reports. Finally, in the third or refinement phase we mapped our ontology onto existing classifications, validated them by outside experts and double coded them by independent inside coders. The entire process was aided by a database prototype in Access and a simple text processing tool.
Mixed Approaches*

Which approaches to software development should be used in which situations? This fundamental question is explored based on experiences from nine comparable small-scale software projects using prototyping and specifying. An empirical interpretation suggests that mixed approaches to software development will benefit from the strengths of both specifying and prototyping. On functionality, robustness, ease of use, and ease of learning mixed approaches led to products of a quality that was at least comparable to the products of specialized approaches based on either specifying or prototyping. Moreover the Spiral Model was experienced as a useful framework for combining specifying and prototyping approaches to software development. A theoretical interpretation relates these practical lessons to The Principle of Limited Reduction. This principle suggests that effective software development must cope with both complexity and uncertainty. This requires a systematic effort combining analytical and experimental approaches, independently of whether specifications or prototypes are used.
Frequency-domain extended models for equalization of doubly-selective channels

We consider frequency-domain equalization of single-carrier systems in doubly-selective channels. In this framework, we investigate the role of channel extension in the time domain on the performance of extended frequency-domain equalization. Specifically, we propose a new low-complexity channel extension technique, whose comparison with other techniques is performed by evaluating the approximation error of the channel matrix and the BER of banded linear MMSE equalizers.
Certification Logos in the Market for Organic Food: What are Consumers Willing to Pay for Different Logos?

Organic food is often labelled with an organic certification logo to gain consumer trust in the product integrity. The number of different organic certification logos in the European market raises the question whether consumers prefer specific logos over others. The aim of this paper is to analyse consumers’ willingness-to-pay (WTP) for different organic logos to give recommendations for actors in the organic sector. Choice experiments and structured interviews were conducted with 2,441 consumers of organic food in six European countries. The data was analysed with random parameter logit models. We found great differences between the tested logos regarding the price premium that consumers were willing to pay. The highest WTP was recorded for well-known logos that consumers perceived as credible with high production standards and a strict control system. It is thus recommended for suppliers of organic food to label products with an organic logo preferred by consumers. Organisations owning an organic logo should put effort into measures for increasing consumer awareness of the logo and forming consumer perceptions of the certification scheme behind it.
A NOVEL ISS-MODULAR ADAPTIVE NEURAL CONTROL OF PURE-FEEDBACK NONLINEAR SYSTEMS

In this paper, an ISS-modular adaptive neural tracking control approach is presented for a class of completely non-affine pure-feedback systems combining backstepping with input-to-state stability (ISS) and small gain theorem. From the second step of backstepping, correlative interconnection terms are defined and introduced in implicit functions. Since the introduction of the correlative interconnection terms does not add any variable, radial basis function (RBF) neural networks are still valid to approximate the implicit functions as the existing results. Subsequently, the construction of the quadratic-type ISS-Lyapunov function makes the correlative interconnection terms completely eliminate the interconnected terms, so that ISS neural controller design is simplified by the combination of the small gain theorem. The proposed approach not only overcomes the difficulty in controlling non-affine pure-feedback systems, but also simplifies the stability analysis of the closed-loop system. Simulation studies are performed to demonstrate the effectiveness of the proposed scheme.
Secured Image Sharing and Deletion in the Cloud Storage Using Access Policies

Cloud computing is a general term for anything that involves delivering hosted services, Anything as a Service (AaaS), over the web on demand basis. It uses web and central remote servers to maintain data and applications. Outsourcing data storage and maintenance to third-party cloud services reduces data management costs, but providing security guarantees is a major issue. In this approach, a secured cloud storage system that achieves policy-based access control and file assured deletion is proposed with an information accountability cloud framework to keep track of the actual usage of the clients' data. Automated logging and distributed auditing of relevant access performed by any entity is handled. The access policy generated for the file controls the file accesses and policy revocation makes the file permanently inaccessible. The system is built upon a set of cryptographic key operations that are self- maintained by a set of key managers and adds security features.
Addressing Challenges in Browser Based P2P Content Sharing Framework Using WebRTC

Most of the content sharing applications use the client/server model in which all of group managements are done by the server and this sometimes becomes a communication bottleneck. Installing specialized software for different purposes such as file sharing, video conferencing etc., becomes a barrier for the user. Recent technologies like NodeJs and Socket.io have fostered new ideas the ways web browsers can be used. Moreover, the emerging standards of WebRTC open up new paradigm of direct communication channel between web browsers without relaying the data through a web server. But there are certain issues such as lack of full-fledged threading/concurrency support in the JavaScript language, reliance on synchronous loading etc. that restricts modern day browsers to take full advantage of current multiprocessing capabilities. Although, on one hand there are advantages of using web browsers, such as no requirement of specialized software, benefits of emerging technologies etc., the aforementioned issues pose challenges in implementation in certain areas. In this paper, we have tried to couple the benefits of peer-to-peer (P2P) architecture (elimination of centralized dependency, better scalability, shareability etc.) along with the advantages of recent web technologies (NodeJs, WebRTC etc.) by designing and implementing a browser based P2P content sharing framework. We have addressed the aforementioned challenges of a browser based P2P architecture by providing a mechanism to exchange messages asynchronously and facilitating new peer joins via existing peers in the network, thus reducing the dependency on bootstrap server. Our prototypical implementation demonstrates the feasibility, efficiency and scalability of this lightweight framework, on the top of which a variety of applications can be added as a layer of functionality.
Protective effect of hydrogen sulfide on renal injury in the experimental unilateral ureteral obstruction

ABSTRACT Introduction/Objective: Ureteral obstruction is a common pathology and causes kidney fibrosis and dysfunction at late period. In this present study, we investigated the antifibrotic and antiinflammatory effects of hydrogen sulfide on kidney damage after unilateral ureteral obstruction (UUO) in rats. Materials and Methods: 24 rats were divided into four groups. Group 1 was control, group 2 was sham, group 3 included rats with UUO and group 4 rats with UUO which were given sodium hydrogen sulfide (NaHS)-exogenous donor of hydrogen sulfide (intraperitoneally 56μmoL/kg/day). After 14 days, rats were killed and their kidneys were taken and blood analysis was performed. Tubular necrosis, mononuclear cell infiltration and interstitial fibrosis were determined histopathologically in a part of the kidneys; nitric oxide (NO), malondialdehyde (MDA) and reduced glutathione (GSH) levels were determined in the other part of the kidneys. Urea-creatinine levels were investigated by blood analysis. Statistical analyses were made by the Chi-square test and one-way analysis of variance (ANOVA). Results: There was no significantly difference for urea-creatinine levels among groups. Pathologically, there was serious tubular necrosis and fibrosis in group 3 and there was significantly decreasing of tubular necrosis and fibrosis in group 4 (p<0.005). Also, there was significantly increase of NO and MDA levels and decrease of GSH levels in group 3 compared to other groups (p<0.005). Conclusions: hydrogen sulfide prevents kidney damage with antioxidant and antiinflammatory effect.
A Rolling Method for Complete Coverage Path Planning in Uncertain Environments

Motion planning with obstacles avoidance in uncertain environments is an essential issue in robotics. Complete coverage path planning of a mobile robot requires the robot to pass through every area in the workspace with collision-free, which has many applications, e.g., various cleaning robots, painter robots, automated harvesters, land mine detectors and so on. A novel planning method integrating rolling windows and biologically inspired neural networks is proposed in this paper. The real-time environmental information can be represented by the dynamic activity landscape of the biological neural network. The rolling window approach is used to detect the local environments. Thus, a heuristic planning algorithm is performed on-line in rolling strategy. Three cases on complete coverage path planning in uncertain environments and the comparison of the proposed method and the planning approach based on the biologically inspired neural networks are studied by simulations. Simulation results show that the proposed method is capable of planning collision-free complete coverage robot motion path
3-D array pattern synthesis with frequency Invariant property for concentric ring array

This correspondence proposes a method for array pattern synthesis of a concentric ring array that yields invariant array pattern over a certain frequency band for beamforming in three dimensions. The proposed method uses the Fourier-Bessel series to determine the weights from different rings to form the overall array pattern. Simulation examples are given to illustrate the proposed method.
WINNERS AND LOSERS ON NYSE: A RE‐EXAMINATION USING DAILY CLOSING BID‐ASK SPREADS

We study a sample of NYSE stocks that experienced a large one‐day price change during 1992 and were reported as daily largest percentage gainers and largest percentage losers in the Wall Street Journal. The sample indicates significant reversals during the immediate post‐announcement period. We test for market efficiency by using bid‐ask spreads obtained from the transactions data for the days immediately after the announcement. The overall results indicate that the returns during the reversal period are less than the average bid‐ask spread during the same time. We also find that major losers, firms with −20 percent to −50 percent event‐date abnormal returns, experience price reversals generating returns that are significantly greater than the average bid‐ask spread during that period. We interpret this result as consistent with the overreaction hypothesis. A test of a trading rule to exploit this overreaction is not profitable, providing support for weak‐form market efficiency.