Miracle-dz/UniFAR-FTUs huggingface dataset:
ON THE FINITE ELEMENT APPROXIMATION OF SYSTEMS OF REACTION-DIFFUSION EQUATIONS BY p=hp METHODS *

We consider the approximation of systems of reaction-difiusion equations, with the flnite element method. The highest derivative in each equation is multiplied by a parameter " 2 (0;1], and as " ! 0 the solution of the system will contain boundary layers. We extend the analysis of the corresponding scalar problem from [Melenk, IMA J. Numer. Anal. 17(1997), pp. 577-601], to construct a flnite element scheme which includes elements of size O("p) near the boundary, where p is the degree of the approximating polynomials. We show that, under the assumption of analytic input data, the method yields exponential rates of convergence, independently of ", when the error is measured in the energy norm associated with the problem. Numerical computations supporting the theory are also presented, which also show that the method yields robust exponential convergence rates when the error in the maximum norm is used.
Electronic dispersion compensation ICs for high speed long haul lightwave systems

Transversal filters are a sub-class of finite impulse response (FIR) infinite impulse response (IIR) filters. By using FIR-IIR filters one can reduce filter order and compensate for a larger variety of dispersion. It is shown that the IIR filter can be used to compensate for chromatic dispersion. An example will be given of a 120 km dispersion limited 10 Gb/s system in which the UR filter was able to compensate for chromatic dispersion to extend the reach to 210 km. An implementation of a FIR-IIR MMIC is also shown and discussed
Ontology Instance Linking: Towards Interlinked Knowledge Graphs

Due to the decentralized nature of the Semantic Web, the same real-world entity may be described in various data sources with different ontologies and assigned syntactically distinct identifiers. In order to facilitate data utilization and consumption in the Semantic Web, without compromising the freedom of people to publish their data, one critical problem is to appropriately interlink such heterogeneous data. This interlinking process is sometimes referred to as Entity Coreference, i.e., finding which identifiers refer to the same real-world entity. In this paper, we first summarize state-of-the-art algorithms in detecting such coreference relationships between ontology instances. We then discuss various techniques in scaling entity coreference to large-scale datasets. Finally, we present well-adopted evaluation datasets and metrics, and compare the performance of the state-of-the-art algorithms on such datasets.
TheSNPpit—A High Performance Database System for Managing Large Scale SNP Data

The fast development of high throughput genotyping has opened up new possibilities in genetics while at the same time producing considerable data handling issues. TheSNPpit is a database system for managing large amounts of multi panel SNP genotype data from any genotyping platform. With an increasing rate of genotyping in areas like animal and plant breeding as well as human genetics, already now hundreds of thousand of individuals need to be managed. While the common database design with one row per SNP can manage hundreds of samples this approach becomes progressively slower as the size of the data sets increase until it finally fails completely once tens or even hundreds of thousands of individuals need to be managed. TheSNPpit has implemented three ideas to also accomodate such large scale experiments: highly compressed vector storage in a relational database, set based data manipulation, and a very fast export written in C with Perl as the base for the framework and PostgreSQL as the database backend. Its novel subset system allows the creation of named subsets based on the filtering of SNP (based on major allele frequency, no-calls, and chromosomes) and manually applied sample and SNP lists at negligible storage costs, thus avoiding the issue of proliferating file copies. The named subsets are exported for down stream analysis. PLINK ped and map files are processed as in- and outputs. TheSNPpit allows management of different panel sizes in the same population of individuals when higher density panels replace previous lower density versions as it occurs in animal and plant breeding programs. A completely generalized procedure allows storage of phenotypes. TheSNPpit only occupies 2 bits for storing a single SNP implying a capacity of 4 mio SNPs per 1MB of disk storage. To investigate performance scaling, a database with more than 18.5 mio samples has been created with 3.4 trillion SNPs from 12 panels ranging from 1000 through 20 mio SNPs resulting in a database of 850GB. The import and export performance scales linearly with the number of SNPs and is largely independent of panel and database size. Import speed is around 6 mio SNPs/sec, export between 60 and 120 mio SNPs/sec. Being command line based, imports and exports can easily be integrated into pipelines. TheSNPpit is available under the Open Source GNU General Public License (GPL) Version 2.
From the Hodgkin–Huxley axon to the virtual heart

Experimentally based models of the heart have been developed since 1960, starting with the discovery and modelling of potassium channels. The early models were based on extensions of the Hodgkin–Huxley nerve impulse equations. The first models including calcium balance and signalling were made in the 1980s and have now reached a high degree of physiological detail. During the 1990s these cell models have been incorporated into anatomically detailed tissue and organ models to create the first virtual organ, the Virtual Heart. With over 40 years of interaction between simulation and experiment, the models are now sufficiently refined to begin to be of use in drug development.
We Need More Resources: Stories of QTPOC* Survival in the South

Abstract While men’s sexual violence against women is unarguably a social and public health issue, both nationally representative data and smaller studies tell us that rates for lesbian, gay, bisexual, transgender, and queer+ (LGBTQ+) individuals are equally or significantly higher. Despite this, there remains little structural support for LGBTQ + survivors. This article highlights the voices of 38 queer and trans people of color (QTPOC)-identified U.S. Southerners who have experienced sexual violence and came together across three focus groups to detail their interactions with advocates and other professionals and explore posttraumatic needs. Nearly all survivors reported that the level of awareness regarding sexual violence in their communities was limited, with most reporting that they did not successfully access mainstream services, due to concerns about homophobia, transphobia, and racism. To address sexual violence in LGBTQ + communities, survivors pointed to the importance of friendship and community networks “outside the system,” knowledge sharing about LGBTQ+-specific violence tactics (e.g., threats of outing a partner), and holding batterers accountable for their behavior within LGBTQ + circles. Findings highlight the need to move beyond “culturally competent” health care by proactively engaging LGBTQ + communities in education, networking, resource sharing, and anti-violence outreach.
Performance of Two Statistical Indexing Methods , with and without Compound-word Analysis

In Germanic languages, compound words are very common and very productive. There are compound words which are bound and lexicalized and loose their semantic content when split (e.g. albatross or jordgubbe). This category will be referred to as opaque compounds. The opposite of the opaque compounds are the productive compounds, whose parts keep their semantic value when separated (Bjarnadóttir 2003). Among these are the compounds that are used, and sometimes invented, for a special context (e.g. indexeringsmetod).
Information and Communication Technologies, Poverty and Development

Can information and communication technologies (ICTs) help to alleviate poverty in low-income countries? The paper investigates this question, focusing particularly on the role of ICTs in assisting the development of small and micro-enterprises. The investigation is based on a systemic understanding of both technology and enterprise. This suggests that ICTs will play a role mainly as a communication technology rather than as an information processing or production technology. Serious inequalities exist that constrain the use of ICT-based information by poor entrepreneurs. Information and communication technologies may therefore have a greater role to play in giving ‘voice’ to the poor; that is, in making the poor information providers more than information recipients. However, effective application must first overcome the ‘ICT fetish’ that dominates much development thinking at present, and which creates a series of identified opportunity costs. The paper concludes with a set of development priorities for information and for ICT use in poverty alleviation.
Binary Logistic Regression Analysis of Teacher Self-Efficacy Factors Influencing Literacy and Numeracy

This paper discusses the teacher efficacy factors contributing to student achievement in literacy and numeracy in 105primary schools within Sibu division, Sarawak, Malaysia. The study observed high levels of practice for teacherefficacy. The t-test and one-way analysis of variance (ANOVA) were used to analyze the differences between gender,teaching experience and academic qualification. The study reported significant differences in respondent perceptionsbased on teaching experience. Here, the post hoc Tukey test revealed that efficaciousness grows with years of teachingexperience. A correlation test observed a significant relationship between the independent variable with studentachievement in literacy. Binary logistic regression was applied to predict the influence of teacher efficacy on literacyand numeracy. The findings revealed that a dimension of teacher self-efficacy – efficacy in student engagement -emerged as the best predictor for student achievement for English literacy (LBI). The result indicated that for every1-point increase in the self-reported efficacy for student engagement, the school was . 014 times less likely to achieve100% literacy rate for LBI. In conclusion, the teacher’s self-efficacy in student engagement had a negative influence onthe mastery of basic literacy for the English language, hence necessitating a closer inspection of the variable within thecontext of LINUS2.0. However, more comprehensive studies are needed to ascertain its consistency as well asinvestigating positive predictors for literacy.
Parallel Gene Upstream Comparison via Multi-Level Hash Tables on GPU

The region of DNA immediately in front of a gene body (also called upstream region) contains short (8-20 base) sequence motifs that help to control when that gene is turned on and off. Unfortunately, these motifs are generally unknown and commonly degenerate. In this work, we propose a motif-finding framework that, given a set of gene upstream regions, performs their all-to-all pairwise comparison and identifies all the motifs of length k (k-mers) that are common to any pair of upstream regions or differ in at most d characters. Our framework stores the k-mers found in each gene in a multi-level hash table. Our hash table design optimizes hash table comparison (rather than hash table insertion or lookup), is highly parallelizable and easily maps onto GPU. We propose four GPU kernels for pairwise hash table comparison, each leveraging a distinct parallelization approach. We study how different factors (the hash function, the number of buckets and the settings of other implementation-specific parameters) affect the performance of our implementation. Experimental results performed using an average-size yeast genome show that our fastest GPU kernel outperforms an 8-thread, cache-efficient CPU implementation by a factor of ~52x.
Optimizing power, capacity, transmission reach and amplifier placement in coherent optical systems using a physical layer model

Bandwidth requirements double up every three years. The main amount of this traffic is carried out by optical networks which form the backbone of communication systems. Accordingly, the optical fiber is the most efficient communication channel since it provides large bandwidth - 5 THz for C-band and more than 20 THz if S and L-bands are loaded - and due to its low loss the data can be transmitted over thousands of kilometers without regeneration. Nevertheless, to achieve such enormous capacity in the field not only requires sophisticated technology but also precise theoretical study. Using analytical models we can easily calculate system performance and optimize any of the physical layer parameters depending on what is required each time. Regarding coherent optical systems the amplified spontaneous emission (ASE) noise and four wave mixing (FWM) are the main effects that degrade system performance. Assuming that both ASE noise and FWM crosstalk give Gaussian characteristics to the signal after optical transmission, we can easily calculate BER by simply adding their powers. In this paper, using a recently introduced analytical model we provide simple rules to optimize channel power, system capacity, system length and amplifier placement in order not only to maximize system throughput but also to minimize optical components such as optical amplifiers given a target performance.
Computers helping dance notation help the dance: a vision

The production of a ballet is one of the most frustrating endeavors in the performing arts today. The frustration stems from the fact that a substantial amount of information must be shared among a large number of individuals, and the only manifestation of this information is in a few human memories. Often the information is evolving: a choreographer will work from day to day with a company of dancers, saving only a fraction of material from one day to the next, until, eventually, the "vision" of a complete piece of choreography has been formed. Alternatively, in the case of reconstructing a piece of choreography, disagreements inevitably arise as to whose memory of the original is most accurate. In the absence of any "hard" information, such disagreements can only be resolved by the strength of authority.
PCA-Based Speech Enhancement for Distorted Speech Recognition

We investigated a robust speech feature extraction method using kernel PCA (Principal Component Analysis) for distorted speech recognition. Kernel PCA has been suggested for various image processing tasks requiring an image model, such as denoising, where a noise-free image is constructed from a noisy input image. Much research for robust speech feature extraction has been done, but it remains difficult to completely remove additive or convolution noise (distortion). The most commonly used noise-removal techniques are based on the spectraldomain operation, and then for speech recognition, the MFCC (Mel Frequency Cepstral Coefficient) is computed, where DCT (Discrete Cosine Transform) is applied to the mel-scale filter bank output. This paper describes a new PCA-based speech enhancement algorithm using kernel PCA instead of DCT, where the main speech element is projected onto low-order features, while the noise or distortion element is projected onto high-order features. Its effectiveness is confirmed by word recognition experiments on distorted speech.
A Case with Cramp-Fasciculation Syndrome

DOI: 10.4328/JCAM.1392 Received: 12.11. 2012 Accepted: 10.01. 2013 Printed: 01.05. 2016 J Clin Anal Med 2016;7(3): 405-7 Corresponding Author: Pinar Yalinay Dikmen, Acibadem Bakirkoy Hastanesi. Halit Ziya Usakligil Caddesi. No: 1, Istanbul, 34390, Turkey T. : +9
A new optimized pole placement strategy of grid-connected inverter with LCL-filter based on state variable feedback and state observer

The LCCL control strategy, which was brought forward as a solution for the resonance of LCL-filter, provides good steady-state performance but unsatisfactory dynamic performance. In this paper, based on an improved discrete state space model and state observer of the LCCL control, a new optimized pole placement strategy is proposed to achieve the best damping performance of the whole system with LCL-filter, with which the dynamic performance of the system can be greatly improved without additional sensors. Furthermore, the proposed method has almost the same performance in suppressing power grid disturbances and the non-linearity of an inverter, resulting in the same steady-state performance compared with LCCL control strategy. A 10 kW grid-connected inverter with LCL-filter prototype is set up to verify the effectiveness of the proposed control strategy and observer configuration, as well as the overall improvement of system performance.
Eccentric figure‐eight coils for transcranial magnetic stimulation

Previously we proposed an eccentric figure‐eight coil that can cause threshold stimulation in the brain at lower driving currents. In this study, we performed numerical simulations and magnetic stimulations to healthy subjects for evaluating the advantages of the eccentric coil. The simulations were performed using a simplified spherical brain model and a realistic human brain model. We found that the eccentric coil required a driving current intensity of approximately 18% less than that required by the concentric coil to cause comparable eddy current densities within the brain. The eddy current localization of the eccentric coil was slightly higher than that of the concentric coil. A prototype eccentric coil was designed and fabricated. Instead of winding a wire around a bobbin, we cut eccentric‐spiral slits on the insulator cases, and a wire was woven through the slits. The coils were used to deliver magnetic stimulation to healthy subjects; among our results, we found that the current slew rate corresponding to motor threshold values for the concentric and eccentric coils were 86 and 78 A/µs, respectively. The results indicate that the eccentric coil consistently requires a lower driving current to reach the motor threshold than the concentric coil. Future development of compact magnetic stimulators will enable the treatment of some intractable neurological diseases at home. Bioelectromagnetics. 35:55–65, 2015. © 2014 Wiley Periodicals, Inc.
Modeling the Talking Tongue

Electromagnetic articulography (EMA) and Electropalatography (EPG) data has been used to adjust the shape and the movement of a three-dimensional tongue model to follow the articulations of the reference subject. The EMA data was used to control the dynamics of the parameters of a three-dimensional tongue model, whereas the EPG data was used to tune the six articulatory parameters to replicate the subject’s linguopalatal contact patterns. A 3D model has been generated of the palate and the jaw and an algorithm for handling boundary collisions between the tongue and the inner structures has been implemented.
A novel high efficiency gate drive circuit for normally off type GaN-FET

A novel drive circuit suitable for next generation semiconductor, GaN-FET (Gallium Nitride Field Effect Transistor), have been proposed and discussed in this paper. Drive loss is also analyzed on respective methods. Furthermore, the problem which is loss increase one of body diode in GaN-FET has been pointed out, and a novel active discharged type gate drive circuit suitable for GaN-FET is proposed. Its operating principles and low loss operation are discussed and evaluated effectiveness from the experimental point of view.
Personalized Recommendation Based on Collaborative Filtering with Social Network Analysis

Collaborative Filtering (CF) is recommendations technique that provides personalized recommendation of services and products to customers by understanding preference through similarity between customers. The network of customers which can be made based on the information about customer's visit information can be used to increase the effect of recommendation. In this study, it suggests a CF based recommendation method that uses network centrality measures of customers with similarities of customers in CF. The usefulness of the proposed method is tested using user visiting log data of a representative UCC (User Created Contents) site. The experimental results show that the combined usage of SNA (Social Network Analysis) measures with similarity measures provides better recommendation performance than traditional CF method.
Voices of youths on engagement in community life: a theoretical framework of belonging

Abstract Little is known from the perspectives of youths with intellectual and developmental disabilities themselves about their experiences related to inclusion, engagement in community life and friendship, and their quality of life. The Voices of Youths research project used an inclusive approach to learn from youths about these experiences. Twenty-four youths (age 13–24 years) with a range of intellectual and developmental disabilities diagnostic ‘labels’ participated in three video-recorded, community-based interviews. Constructivist grounded theory data analysis revealed a theoretical framework comprising the core concept of belonging and four associated concepts: engaging with similar people, having social relationships, negotiating meaningful roles, and navigating norms and expectations – finding a good fit. The findings contribute new knowledge about the ways in which these youths experience a sense of belonging from their own perspectives and can inform development/enrichment of policies, programmes, and services for these youths.
Injectable Amorphous Chitin-Agarose Composite Hydrogels for Biomedical Applications

Injectable hydrogels are gaining popularity as tissue engineering constructs because of their ease of handling and minimal invasive delivery. Making hydrogels from natural polymers helps to overcome biocompatibility issues. Here, we have developed an Amorphous Chitin (ACh)-Agarose (Agr) composite hydrogel using a simpletechnique. Rheological studies, such as viscoelastic behavior (elastic modulus, viscous modulus, yield stress, and consistency), inversion test, and injectability test, were carried out for different ACh-Agr concentrations. The composite gel, having a concentration of 1.5% ACh and 0.25% Agr, showed good elastic modulus (17.3 kPa), yield stress (3.8 kPa), no flow under gravity, injectability, and temperature stability within the physiological range. Based on these studies, the optimum concentration for injectability was found to be 1.5% ACh and 0.25% Agr. This optimized concentration was used for further studies and characterized using FT-IR and SEM. FT-IR studies confirmed the presence of ACh and Agr in the composite gel. SEM results showed that the lyophilized composite gel had good porosity and mesh like networks. The cytocompatibility of the composite gel was studied using human mesenchymal stem cells (hMSCs). The composite gels showed good cell viability.These results indicated that this injectable composite gel can be used for biomedical applications.