Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of electrical and electromagnetic properties of a planar inductor

This paper compares the electromagnetic and electrical properties of a planar inductor used in a low-profile organic light-emitting diode (OLED) driver. A luminary consists of the OLED cell and its driver which uses a planar inductor. The proximity of the OLED cell and the constrained area makes the planar inductor lossy. The planar inductor represents a loop antenna and a main source of radiated emissions of the driver. The properties of the planar inductor are analysed w.r. t. the quality factor and the magnetic moment. The analysis uses a two-level experiment based on EM simulations to explore the geometrical parameters of the inductor. The experiment shows that the track width and the fill-ratio of the inductor have the largest effect on its properties. It is concluded that a planar inductor which introduces minimum power losses and radiated emissions to the OLED driver needs to be optimized w.r. t. the track width and the fill-ratio.
A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution

This paper proposes a unified framework for zero anaphora resolution, which can be divided into three sub-tasks: zero anaphor detection, anaphoricity determination and antecedent identification. In particular, all the three sub-tasks are addressed using tree kernel-based methods with appropriate syntactic parse tree structures. Experimental results on a Chinese zero anaphora corpus show that the proposed tree kernel-based methods significantly outperform the feature-based ones. This indicates the critical role of the structural information in zero anaphora resolution and the necessity of tree kernel-based methods in modeling such structural information. To our best knowledge, this is the first systematic work dealing with all the three sub-tasks in Chinese zero anaphora resolution via a unified framework. Moreover, we release a Chinese zero anaphora corpus of 100 documents, which adds a layer of annotation to the manually-parsed sentences in the Chinese Treebank (CTB) 6.0.
Significance of Haemodynamic and Haemostatic Factors in the Course of Different Manifestations of Cerebral Small Vessel Disease: The SHEF-CSVD Study—Study Rationale and Protocol

Rationale. This paper describes the rationale and design of the SHEF-CSVD Study, which aims to determine the long-term clinical and radiological course of cerebral small vessel disease (CSVD) and to evaluate haemostatic and haemodynamic prognostic factors of the condition. Design. This single-centre, prospective, non-interventional cohort study will follow 150 consecutive patients with different clinical manifestations of CSVD (lacunar ischaemic stroke, vascular dementia, vascular parkinsonism or spontaneous deep, intracerebral haemorrhage) and 50 age- and sex-matched controls over a period of 24 months. The clinical and radiological course will be evaluated basing on a detailed neurological, neuropsychological and MRI examinations. Haemodynamic (cerebral vasoreactivity, 24 h blood pressure control) and haemostatic factors (markers of endothelial and platelet dysfunction, brachial artery flow-mediated dilatation test) will be determined. Discussion. The scheduled study will specifically address the issue of haemodynamic and haemostatic prognostic factors and their course over time in various clinical manifestations of CSVD. The findings may aid the development of prophylactic strategies and individualised treatment plans, which are critical during the early stages of the disease.
BEM-Based Estimation for Time-Varying Channels and Training Design in Two-Way Relay Networks

In this paper, channel estimation for two-way relay networks (TWRNs) over time-varying channels is investigated. We consider the amplify-and-forward (AF) relaying scheme and adopt the complex-exponential basis expansion model (CE-BEM) that represents the time-varying channel by a finite number of parameters. We develop the estimation methods for both the cascaded channels and the individual channels and also apply the total least square (TLS) algorithm to improve the estimation accuracy. Moreover, the training design is discussed and a heuristic criterion is proposed to minimize the condition number of the estimation matrix. The simulation results verify the goodness of the criterion.
A Hardware Accelerated Semi Analytic Approach for Fault Trees with Repairable Components

Fault tree analysis of complex systems with repairable components can easily be quite complicated and usually requires significant computer time and power despite significant simplifications. Invariably, software-based solutions, particularly those involving Monte Carlo simulation methods, have been used in practice to compute the top event probability. However, these methods require significant computer power and time. In this paper, a hardware-based solution is presented for solving fault trees. The methodology developed uses a new semi analytic approach embedded in a Field Programmable Gate Array (FPGA) using accelerators. Unlike previous attempts, the methodology developed properly handles repairable components in fault trees. Results from a specially written software-based simulation program confirm the accuracy and validate the efficacy of the hardware-oriented approach.
Chaotic Synchronization of Symbolic Information in the Discrete Nonlinear Schrödinger Equation

We have studied the discrete nonlinear Schrödinger equation (DNLSE) with on-site defects and periodic boundary conditions. When the array dynamics becomes chaotic, the otherwise quasiperiodic amplitude correlations between the oscillators are destroyed via a symmetry breaking instability. However, we show that synchronization of symbolic information of suitable amplitude signals is possible in this hamiltonian system.
Design of Dual- and Triple-Passband Filters Using Alternately Cascaded Multiband Resonators

A novel method for designing multiband bandpass filters has been proposed in this paper. Coupling structures with both Chebyshev and quasi-elliptic frequency responses are presented to achieve dual- and triple-band characteristics without a significant increase in circuit size. The design concept is to add some extra coupled resonator sections in a single-circuit filter to increase the degrees of freedom in extracting coupling coefficients of a multiband filter and, therefore, the filter is capable of realizing the specifications of coupling coefficients at all passbands. To verify the presented concept, four experimental examples of filters with a dual-band Chebyshev, triple-band Chebyshev, dual-band quasi-elliptic, and triple-band quasi-elliptic response have been designed and fabricated with microstrip technology. The measured results are in good agreement with the full-wave simulation results
Effects of stationary cycling exercise on the balance and gait abilities of chronic stroke patients

[Purpose] The objective of this study was to investigate the effects of stationary cycling exercise on the balance and gait abilities of chronic stroke patients. [Subjects] Thirty-two chronic stroke patients were randomly assigned to an experimental group (n=16) or a control group (n=16). [Methods] All of the subjects received the standard rehabilitation program for 30 minutes, while the experimental group additionally participated in a daily session of stationary cycling exercise for 30 minutes, 5 times per week for 6 weeks. To assess balance function, the Berg Balance Scale and timed up-and-go test were used. The 10-m walking test was conducted to assess gait function. [Results] Both groups showed significant improvements in balance and gait abilities. The improvements in the Berg Balance Scale and timed up-and-go test scores (balance), and 10-m walking test score (gait) in the stationary cycling exercise group were significantly greater than those in the control group. [Conclusion] This study demonstrated that stationary cycling exercise training is an effective intervention for increasing the balance and gait abilities of chronic stroke patients. Therefore, we suggest that stationary cycling training is suitable for stroke rehabilitation and may be used in clinical practice.
Examining associations between childhood asthma and traffic flow using a geographic information system.

Using geographic information systems (GIS) and routinely collected data, we explored whether childhood residence near busy roads was associated with asthma in a low-income population in San Diego County, California. We examined the locations of residences of 5,996 children [less than/equal to] 14 years of age who were diagnosed with asthma in 1993 and compared them to a random control series of nonrespiratory diagnoses (n = 2,284). Locations of the children's residences were linked to traffic count data at streets within 550 ft. We also examined the number of medical care visits in 1993 for children with asthma to determine if the number of visits was related to traffic flow. Analysis of the distribution of cases and controls by quintiles and by the 90th, 95th, and 99th percentiles of traffic flow at the highest traffic street, nearest street, and total of all streets within a 550-ft buffer region did not show any significantly elevated odds ratios. However, among cases, those residing near high traffic flows (measured at the nearest street) were more likely than those residing near lower traffic flows to have two or more medical care visits for asthma than to have only one visit for asthma during the year. The results of this exploratory study suggest that higher traffic flows may be related to an increase in repeated medical visits for asthmatic children. Repeated exposure to particulate matter and other air pollutants from traffic exhaust may aggravate asthmatic symptoms in individuals already diagnosed with asthma. ImagesFigure 1
The Recurrent Crisis in Corporate Governance

Named one of the 2003 books of the year in the "Economist" "A convincing explanation of why, despite all of the recent reforms in American corporate governance, there will probably be more firms that go the way of Enron. " In the last thirty years, there has been a gradual erosion in the abilities and responsibilities of corporate boards. In addition to the ethics scandals that have plagued companies both new and established over the last three years, a number of over-diversified, over-staffed companies experienced failures that might have been avoided had there been proper oversight on the part of the board. While reform of the governance system has received considerable attention from the press, business leaders, and politicians, there have been few analyses of what is really happening on a systemic level, and even fewer workable suggestions for reform. "The Recurrent Crisis in Corporate Governance" provides an expert assessment of what went wrong on corporate boards and how to fix them. The book begins with both a legal and economic examination of corporate governance during the last three decades, including the broad issue of boards taking on responsibilities without being able to fulfill their obligations because of the lack of access to information and people within the corporation. The authors then go on to show the correlation between strong board performance and strong company performance, make the case for separating the CEO and Chair positions, comment on the collapse of nine major corporations, including Global Crossing, K-Mart, Lucent, and Qwest, and provide suggestions on how boards can be more effective stewards of the shareholders' and public's trust.
HANDSKETCH: BI-MANUAL CONTROL OF VOICE QUALITY DIMENSIONS AND LONG TERM PRACTICE ISSUES

In this paper, we describe the development of a new musical instru- ment, called the HandSketch. This new instrument is developed in respect with the Convergent Luthery Model (10). It means that this instrument has to be practicable right from the beginning of the prototyping, in order to allow the progressive embodiment of the object. This specificity leads us to focus our control paradigm on the writing. The HandSketch is a digital instrument made for the bi-manual control of voice quality dimensions: pitch, instensity, glottal flow parameters (6). It is made of purshasable devices: a pen tablet and force sensing resistors (FSRs). More precisely it is built around a Wacom TM graphic tablet (31), played vertically along the up- per part of the body. The HandSketch uses a particular polar transformation of the control space in order to fit the requirements of ther prefered hand. A sensing strategy inspired by woodwind and string instruments is adapted to FSRs for the use of the non- prefered hand. It is important to highlight that the instrument evolved in nine consecutive versions - being now called HS1.8 - and thus reached a more stable shape and behavior. The most recent playing situation is illustrated in Figure 1.
Fornix Reconstruction with Amniotic Membrane Transplantation: A Cosmetic Remedy for Blind Patients

Purpose: Fornix contracture is an obstacle for fitting a prosthesis in blind or enucleated patients, and may lead to disfigurement and psychological issues. This study evaluates the efficacy of amniotic membrane transplantation (AMT) for fornix reconstruction with the aim of better retention of the ocular prosthesis. Methods: This non-comparative interventional case series includes eighteen blind eyes with fornix deformity in which a cosmetic prosthesis could not be retained. Various causative factors included symblepharon, cyst formation and fornix shortening after enucleation. AMT was performed along with correction of symblepharon, cicatrix release, and excision of the cyst with or without anchoring sutures to reform the fornix. Results: Mean fornix depth pre- and post-operation were 3.72 ± 0.69 and 7.13 ± 0.81 mm, respectively. Fornix deepening was achieved successfully in 15 cases (83.33%). Partial success was achieved in 1 case (5.66%); the remaining two cases (11.11%) were considered as failure despite repeat surgery. Both of these patients suffered from extensive symblepharon formation. Satisfactory results, i.e. formation of a deep fornix to hold the ocular prosthesis, could be achieved in 16 (89.99%) cases. There were no serious complications such as infection or graft rejection. Conclusion: AMT can be a viable option for fornix reconstruction. It has a high success rate in subjects with blind eyes and moderate fornix shortening who are unable to retain an ocular prosthesis.
Smooth and crispy: integrating continuous event proximity calculation and discrete event detection

Using Complex Event Processing for event detection is appealing for emerging applications in home care and health care because hazards and anomalies need to be detected to alarm a care giver as fast as possible. It is important for a care giver to receive alarms if anomalies and hazards are detected. However, false positives and false negatives can imply high costs and it is important to personalize the application for every individual instantiation. We introduce in this paper the concept of Event Proximity (EProx) to address these challenges. EProx quantifies the closeness of the current situation to an event of interest. EProx enables the system and its users to react to anomalies and hazards before they actually happen. We present a template for EProx calculation and exploit a home care use case to explain how the template is instantiated in Esper. We use synthetic activity traces of a care receiver to verify and demonstrate the usefulness of event proximity calculation.
GA_SVM: A Genetic Algorithm for Improving Gene Regulatory Activity Prediction

Gene regulatory activity prediction problem is one of the important steps to understand the significant factors for gene regulation in biology. The advents of recent sequencing technologies allow us to deal with this task efficiently. Amongst these, Support Vector Machine (SVM) has been applied successfully up to more than 80% accuracy in the case of predicting gene regulatory activity in Drosophila embryonic development. In this paper, we introduce a metaheuristic based on genetic algorithm (GA) to select the best parameters for regulatory prediction from transcriptional factor binding profiles. Our approach helps to improve more than 10% accuracy compared to the traditional grid search. The improvements are also significantly supported by biological experimental data. Thus, the proposed method helps boosting not only the prediction performance but also the potentially biological insights.
The Time Index: An Access Structure for Temporal Data

In this paper, we describe a new indexing technique, the time indez, for improving the performance of certain classes of temporal queries. The time index can be used to retrieve versions of objects that are valid during a specific time period. It supports the processing of the temporal WHEN operator and temporal aggregate functions efficiently. The time indexing scheme is also extended to improve the performance of the temporal SELECT operator, which retrieves objects that satisfy a certain condition during a specific time period. We will describe the indexing technique, and its search and insertion algorithms. We also describe an algorithm for processing a commonly used temporal JOIN operation. Some results of a simulation for comparing the performance of the time index with other proposed temporal access structures are presented.
On the design of Grassmannian constellations for non-coherent MIMO communication systems

We consider the design of the Grassmannian constellations that are required for rate-efficient non-coherent wireless MIMO communication. We begin by providing insight into the way in which these constellations are structured, and we then provide two new techniques for designing them. The first technique enables joint design of all the constellation points by exploiting a new method (proposed herein) for simultaneous optimization of multiple points on the Grassmann manifold. This in contrast to most existing techniques in which the points are designed sequentially. The second technique is a more efficient method for designing large constellations. By expressing large constellations as the disjoint union of rotated versions of a 'proto-constellation', one can partition the design problem into the design of a (small) proto-constellation and that of the rotation matrices. It will be shown that, in addition to providing storage and regeneration convenience, the rotation-based design retains two desirable features of the optimal design. Finally, we will provide numerical simulations that illustrate the performance of the constellations designed with the proposed techniques.
Cognitive-Affective Interactions in Human decision-Making: A Neurocomputational Approach

To develop realistic computational cognitive models of human decision making, it is essential to incorporate various traditionally non-cognitive but critically important soft factors into the model development, such as cultural biases, intuition, emotion, social norms, etc. In this paper we attempt to explore human cognitive-affective interactions in strategic thinking through a neurocomputational modeling approach. To empirically justify the model, we carried out a neuroimaging experiment using the ultimatum game.
The Mosaic Nature of Intergenic 16S-23S rRNA Spacer Regions Suggests rRNA Operon Copy Number Variation in Clostridium difficile Strains

ABSTRACT Clostridium difficile is a major spore-forming environmental pathogen that causes serious health problems in patients undergoing antibiotic therapy. Consequently, reliable and sensitive methods for typing individual strains are required for epidemiological and environmental studies. Ribotyping is generally considered the best method, but it fails to account for sequence diversity which might exist in intergenic 16S-23S rRNA spacer regions (ISRs) within and among strains of this organism. Therefore, this study was undertaken to compare the sequence of each individual ISR in five strains of C. difficile to explore the extent of this diversity and see whether such information might provide the basis for more sensitive and discriminatory strain typing methods. After targeted PCR amplification, cloning, and sequencing, the diversity of the ISRs was used as a measure of rRNA operon copy number. In C. difficile strains 630, ATCC 43593, A, and B, 11, 11, 7, and 8 ISR length variants, respectively, were found (containing different combinations of sequence groups [i to xiii]), suggesting 11, 11, 7, and 8 rrn copies in the respective strains. Many ISRs of the same length differed markedly in their sequences, and some of these were restricted in occurrence to a single strain. Most of these ISRs did not contain any tRNA genes, and only single copies of the tRNAAla gene were found in those that did. The presence of ISR sequence groups (i to xiii) varied between strains, with some found in one, two, three, four, or all five strains. We conclude that the intergenic 16S-23S rRNA spacer regions showed a high degree of diversity, not only among the rrn operons in different strains and different rrn copies in a single strain but also among ISRs of the same length. It appears that C. difficile ISRs vary more at the inter- and intragenic levels than those of other species as determined by empirical comparison of sequences. The precise characterization of these sequences has demonstrated a high level of mosaic sequence block rearrangements that are present or absent in multiple strain-variable rrn copies within and between five different strains of C. difficile.
The Application of Data Mining in Tourism Information

Using SAS/EM tools, with the classification technology of data mining, data of touring investigation of Guilin City Touring Agency, perform classification mining from two aspects that is tourists' consumption and comprehensive evaluation. In this process, realize classification data mining's whole process perfectly, includes: data pretreatment, data mining, obtain corresponding rules, analyzing results. Among these, the data pretreatment use x2 statistical testing to select the properties associated with the mining targets. This step is very important, because the algorithm c4.5 that SAS/EM decision tree node supports, which requires too much for effectiveness of property.
A Law of Large Numbers for an Interacting Particle System with Confining Potential

In this paper we consider an interacting particle system modeled as a system of N stochastic differential equations driven by Brownian motions with a drift term including a confining potential acting on each particle, and an interaction potential modeling the interaction among all the particles of the system. The limiting behavior as the size N grows to infinity is achieved as a law of large numbers for the empirical process associated with the interacting particle system.
Automatic Classification of Sentences in the MEDLINE Abstracts : A Case Study of the Power of Word Sequence Features

BACKGROUND: Recent advances in machine learning methods have helped boost the performance and the robustness of natural language processing (NLP) systems. Given a set of training samples of moderate size, these methods show a superb generalization capability. Joachims [1] have demonstrated that by using the Support Vector Machines (SVM’s) [6] with the so-called “bag-of-words” feature set, one can classify newspaper articles into their correct categories (defined in terms of the topic of the article) with a decent level of accuracy. But there still remains a room for improvement, and much effort has been devoted in selecting a good set of features that can complement bag-of-words features.