Miracle-dz/UniFAR-FTUs huggingface dataset:
The fdrtool Package

Description This package allows to estimate both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), and for the half-normal and correlation distributions.
Pole-zero decision feedback equalization for the digital subscriber loop

A decision feedback equalizer (DFE) containing a feedback filter with both poles and zeros is proposed for high-speed digital communications over the subscriber loop. The feedback filter is composed of two sections; a relatively short finite-impulse-response (FIR) filter that cancels the initial part of the channel impulse response, which may contain rapid variations due to bridge taps, and a pole-zero filter than cancels the smoothly decaying tail of the impulse response. It is shown that the feedback filter can be adapted using existing infinite-impulse-response (IIR) adaptation techniques. Numerical results using a simulated subscriber loop impulse response show that a feedback filter with two poles adapted via a simplified gradient algorithm can offer significant improvement in mean squared error (MSE) (i.e., 3 to 4 dB at a signal-to-noise ratio of 20 dB) relative to a conventional DFE of the same complexity. <<ETX>>
A two level transient analysis of a circuit containing transmission lines modeled by segments of lumped elements

This paper presents a practical implementation of traditional numerical methods for computing the transient response of any arbitrary electronic circuit with particular emphasis on handling transmission lines, each of which is modeled as RLGC segments. This technique subdivided the transient analysis into 2 levels. The first level deals with a normal circuit analysis in which each transmission line is replaced by a simple lumped 2 port companion model having only 3 resistors and 2 current sources. However, the N-segmented model of transmission line must be separately analysed for preparing and updating the transmission line lumped companion model. The analysis at this second level can be made computationally efficient by bypassing repeated matrix calculation. A simulation result of this technique is presented and compared with results obtained by using the lumped approximation with 25 and 100 segments.
A Framework of Design Pattern for Distance Education System

: The main topic addressed in this paper is to propose a design methodology called "Design Pattern" for sustainable distance education system. The design pattern for distance education system is based on a communication model by integrating educational requirements and system components. This paper describes an overview of the design pattern and discusses a couple of case studies for analyzing distance live lecture system using our design pattern approach.
Targeted inhibition of aggrecanases prevents articular cartilage degradation and augments bone mass in the STR/Ort spontaneous model of osteoarthritis.

© 2018 The Authors Arthritis & Rheumatology published by Wiley Periodicals, Inc. on behalf of American College of Rheumatology This is an open access article under the terms of the Creative Commons AttributionNonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. DR. BEHZAD JAVAHERI (Orcid ID : 0000-0001-7941-3104) DR. GEORGE BOU-GHARIOS (Orcid ID : 0000-0002-9563-9418)
Realistic active haptic guided exploration with Cartesian control for force--position tracking in finite time

Perception and interaction with virtual surfaces, through kinaesthetic sensation and visual stimuli, is the basic issue of a haptic interface. When the virtual or real object is in a remote location, and guidance is required to perceive kinaesthetic feedback, a haptic guidance scheme is required. In this document, with purpose of haptic-guided exploration, a new scheme for simultaneous control of force and cartesian position is proposed without using inverse kinematics, and without using the dynamic model of PHANToM, though a strict stability analysis includes the dynamic model of PHANToM. We rely on our previously proposed results to propose a new haptic cartesian controller to reduce the burden of computing cartesian forces in PHANToM. Furthermore, a time base generator for finite-time tracking is also proposed to achieve very fast tracking and high precision, which translated into high fidelity kinaesthetic feedback.
Optimization of Urea-Glycerin Based NADES-UAE for Oxyresveratrol Extraction from Morus alba Roots for Preparation of Skin Whitening Lotion

Objective: The oxyresveratrol, polyphenol from Morus alba (Mulberry) roots has been known to have potential skin whitening activities. The application of urea-glycerin-based Natural Deep Eutectic Solvent-Ultrasonic Assisted Extraction (NADES-UAE) method was successful on extraction of polyphenols from plant material. The purpose of this research was to get optimum extraction conditions to enhance oxyresveratrol content and get the best lotion formula based on physical properties evaluation. Methods: The roots were extracted with urea-glycerin-based NADES-UAE method. The NADES-UAE method was employed to determine the optimal extraction condition for two parameters: the molar ratio of urea: glycerin and ultrasonic irradiation time. Oxyresveratrol concentration of the extracts was analyzed with HPLC. Morus alba roots extract was formulated into three formulas of lotion preparation and evaluated based on their physical properties. Results: The optimized conditions for the highest oxyresveratrol concentration from Morus alba roots extract were the molar ratio of urea-glycerin (1:3) and ultrasonic irradiation time as 15 mins. It showed that urea-glycerin UAE method produced Morus alba roots extract with higher oxyresveratrol content than conventional method. Based on physical evaluation from three lotion formulas, formula A was chosen as best formula. Conclusion: This urea-glycerin-based NADES-UAE method was suitable as a green alternative method for the extraction of oxyresveratrol from Morus alba roots because cheaper, faster and easier than conventional extraction method. The lotion preparation which has good physical properties can be applied as a skin whitening cosmetic. Key words: Natural deep eutectic solvent, Ultrasonic assisted extraction, Urea, Glycerin, Oxyresveratrol, Morus alba, Roots extract, Skin whitening.
Virtual Energy Management Platform for Low Energy Building Operations

Europe’s objective under the 20-20-20 target is to reduce energy consumption by 20% and increase the renewable energy sources by 20% in the overall energy mix. The European Union currently imports two third of its oil and gas which makes it the world’s leading importer of these fuels. Due to increasing energy prices and relatively high percentage of building related energy consumption much effort is invested for energy efficient buildings. Apart from meaningful building insulation measures, the only means of achieving marked improvements in the energy efficiency of buildings is to make use of efficient building automation technologies which comprises performance monitoring, analysis and intelligent control. This research addresses the need for integration concepts, holistic monitoring and analysis methodologies, life-cycle oriented decision support and scenario based control strategies through the seamless integration of ubiquitous sensing infrastructures, simulation tools, Building Information Modelling (BIM) tools, service oriented architectures and data warehouse technologies. This paper introduces an interoperable Information and Communication Technologies (ICT) platform integrating IT systems at design, construction and operation stages of buildings so that monitoring, analysis and optimization of building energy performance can be achieved. The developed prototype has been demonstrated with EOS Sustainable Energy Solutions GmbH which is Hannover, Germany based R&D company, on a sample building of Housing Development Administration (HDA) within the scope of Dynamic System Architecture for Energy Efficient Building Operations (DASSEB) Project.
MSc THESIS Experimental Analysis on ECC Schemes for Fault-Tolerant Hybrid Memories

Hybrid memories are one of the emerging memory technologies for future data storage. These memories are structured by integrating non-CMOS nanodevices (e.g., carbon nanotubes, single electron junction, organic molecules) with CMOS devices. Non-CMOS nanodevices build up crossbar-based memory cells, whereas CMOS devices form peripheral circuits. CMOS/Molecular (CMOL) memory is an example of hybrid memories. In spite of providing a huge data capacity and low power consumption, such memories suffer from high degree of cluster faults impacting their reliability. This thesis investigates the use of error correction codes (ECCs) to tolerate faults in hybrid memories. The ECCs considered in this work are Hamming, Reed Solomon (RS), and Redundant Residue Number System (RRNS) codes. The error correction capability and the cost incurred (in terms of area and time overhead of encoder and decoder) for each ECC and for different input data width are analyzed. The experimental results show that RS and RRNS codes are able to correct cluster faults, yet requires higher cost as compared to Hamming code, which can only correct single fault at lower cost. Moreover, the area cost of RS and RRNS encoder/decoder tend to increase linearly and exponentially, respectively, as the input data width becomes bigger. Meanwhile, the time overhead of RS remains steady and while that of increases linearly, as the input data width increase. Overall, RS is the best ECC to tolerate cluster faults in hybrid memories.
Rebuilding define.pdf by reading Word and XFDF files

Although the industry is transitioning to the CDISC define.xml to document SAS transport files submitted to the FDA there are still many studies to be submitted that were prepared with the old methods and for which documentation has already been created. Continuing with the old method is not viable because FDA now expects the define.pdf content to include derivation information for variables. This information is typically stored in the Statistical Analysis Plan. This presentation shows how SAS XML features were used to add this vital functionality to an existing tool building define.pdf. We use SAS XML maps to read CRF page location information for each variable from an annotated CRF (saved as XFDF). We also use an XML map to extract variable/dataset metadata from MS Word tables contained in pre-existing . doc files. The advantages of using LAT E X to generate the define.pdf are also briefly discussed.
NMR relaxation of clay-brine mixtures

Effective interpretation of nuclear magnetic resonance (NMR) logs in shaly sands requires an understanding of the NMR contribution of clays. Of particular importance is the role of clays in the rapidly relaxing part of the NMR signal. In this study we measured the transverse relaxation time spectrum (T 2 ) of brine mixed with four clays (illite, smectite, kaolinite and glauconite) as a function of compaction. The Larmor frequency was 2 MHz and the echo spacing 0.16 msec. Mild compaction was achieved by centrifuging the clay slurry at three successive pressures ranging from I to 125 psi. Highly compacted samples were produced in a uniaxial press at six sequential pressures ranging from 500 to 16,000 psi. Each clay-brine slurry and its associated compacted sample showed a single peak in the T 2 distribution spectrum. A second peak, which could be interpreted as the clay-bound water, was never observed. The T 2 peak position shifted to faster relaxation times as compaction increased, in proportion to the pore volume-to-surface ratio, V p /S. The single peak and V p /S proportionality are consistent with fast diffusion between the pore water and the monolayer of water on the clay surface. Surface relaxivity varied among the four clay minerals; glauconite, the clay with the highest magnetic susceptibility and iron content had the largest surface relaxivity. These results have important implications for the interpretation of NMR logs in shaly sands. Because of the effects of compaction and to a lesser extent the iron content on a clay's T 2 peak position, it is not possible to independently determine clay type from some characteristic relaxation time. These data also imply that it is not feasible to estimate the cation exchange capacity from a single time cutoff of the T 2 distribution without additional information such as laboratory measurements or other log data.
Building extraction in satellite images using active contours and colour features

ABSTRACT Obtaining the segmentation of building footprints from satellite images is a complex process since building areas and their surroundings are presented with various colour intensity values and complex features. Active contour region-based segmentation methods can be used to establish the corresponding boundary of building structures. Typically, these methods divide the image into regions that exhibit a certain similarity and homogeneity. However, using the traditional active contour algorithms for building structures detection, in several cases where spectral heterogeneity exists, over-detection or under-detection are usually noticed. In this work, the Red, Green and Blue (RGB) representation and the properties of the Hue, Saturation and Value (HSV) colour space have been analysed and used to optimize the extraction of buildings from satellite images in an active contour segmentation framework. Initially, the satellite image was processed by applying a clustering technique using colour features to eliminate vegetation areas and shadows that may adversely affect the performance of the algorithm. Subsequently, the HSV representation of the image was used and a new active contour model was developed and applied for building extraction, utilizing descriptors derived from the value and saturation images. A new energy term is encoded for biasing the contours to achieve better segmentation results. An effective procedure has been designed and incorporated in the proposed model for the active contour initialization. This process enhances the performance of the model, leading to lower computational cost and higher building detection accuracy. Additionally, statistical measures are used for designing optimum morphological filters to eliminate any misleading information that may still exist. Qualitative and quantitative measures are used for evaluating the performance of the proposed method.
Intravascular large cell lymphoma mimicking central nervous system vasculitis in a patient with rheumatoid arthritis (RCD code: VI-2C.2)

Increased incidence of lymphomas in patients with rheumatoid arthritis has been reported and may be associated with several factors, including genetic factors, chronic inflammation, and immunosuppressive treatment. Intravascular large cell lymphoma (ILCL) is a rare subtype of large cell lymphoma with undetectable lymphoma cells in peripheral blood and without any extravascular localisation. Diag- nosis is often delayed because bone marrow, spleen, and cerebrovascular fluid may not be involved and there are no specific laboratory studies for intravascular large cell lymphoma. We report the case of a 63-year-old woman with a 10-year history of seropositive rheumatoid arthritis and intravascular large cell lymphoma recognised at autopsy. The patient presented with progressive central nervous system-related symptoms mimicking vasculitis without lymphadenopathy or bone marrow involvement. Malignant lymphoproliferative disorders should be considered in RA patients with varying clinical presentation, even in the absence of lymphadenopathy and bone marrow involvement. JRCD 2018; 4 (1): 15-17.
Anatomy, Skin, Dermatomes

The skin is divided anatomically into distinct patterns based on the specific distribution of sensory nerve fibers arising from a single spinal nerve. These patterns were mapped and discussed most prominently in 1933 by O. Foerster in a publication entitled "The Dermatomes in Man" in the journal Brain, which some consider the founding basis on which dermatomal theory rests. [1] After Foerster, J. Keegan and F. Garrett discussed the distribution of spinal nerves in 1948 in their publication "The Segmental Distribution of the Cutaneous Nerves in the Limbs of Man" in the journal The Anatomical Record. [2] Most recently, in 2008, M. Lee, R. McPhee, and M. Stringer published an article in Clinical Anatomy entitled "An Evidence-Based Approach to Human Dermatomes," in which they contested some of the classic presentations of dermatome maps and put forth an evidence-based method for determining a more accurate map of human dermatomes. [3][4]
Embracing the new threat: towards automatically, self-diversifying malware

Signature-based similarity metrics are the primary mechanism to detect malware on current systems. Each file is scanned and compared against a set of signatures. This approach has several problems: (i) all possible detectable malware must have a signature in the database and (ii) it might take a substantial amount of time between initial spread of the malware and the time anti-malware companies generate a signature to protect from the malware. On the other hand, the malware landscape is changing: there are only few malware families alive at a certain point in time. Each family evolves along a common software update and maintenance cycle. Individual malware instances are repacked or obfuscated whenever they are detected by a large set of anti-malware products, basically resulting in an arms race between malware authors and anti-malware products. Anti-malware products are not efficient if they follow this arms race and we show how it is possible to maximize the advantage for malware distributors. We present MalDiv, an automatic diversification mechanism that uses compilerbased transformations to generate an almost infinite amount of binaries with the same functionality but very low similarity, resulting in different signatures. Malware diversity builds on software diversity and uses open decisions in the compiler to reorder and change code and data. In addition, static data is encrypted using a set of transformations. Such a tool allows malware distributors to generate an almost unlimited amount of binaries that cannot be detected using signaturebased matching.
Diagnostic Accuracy of Early Secretory Antigenic Target-6–Free Interferon-gamma Release Assay Compared to QuantiFERON-TB Gold In-tube

Abstract Background Early secretory antigenic target-6 (ESAT-6) is an immunodominant Mycobacterium tuberculosis (M.tb) antigen included in novel vaccines against tuberculosis (TB) and in interferon-gamma (IFN-γ) release assays (IGRAs). Therefore, the availability of an ESAT-6–free IGRA is essential to determine M.tb infection status following vaccination with ESAT-6–containing vaccines. We aimed to qualify a recently developed ESAT-6–free IGRA and to assess its diagnostic performance in comparison to QuantiFERON-TB Gold In-tube (QFT). Methods Participants with different levels of M.tb exposure and TB disease were enrolled to determine the ESAT-6–free IGRA cutoff, test assay performance in independent cohorts compared to standard QFT, and perform a technical qualification of antigen-coated blood collection tubes. Results ESAT-6–free IGRA antigen recognition was evaluated in QFT-positive and QFT-negative South African adolescents. The ESAT-6–free IGRA cutoff was established at 0.61 IU/mL, based on receiver operating characteristic analysis in M.tb-unexposed controls and microbiologically confirmed pulmonary TB patients. In an independent cohort of healthy adolescents, levels of IFN-γ released in QFT and ESAT-6–free IGRA were highly correlated (P < .0001, r = 0.83) and yielded comparable positivity rates, 41.5% and 43.5%, respectively, with 91% concordance between the tests (kappa = 0.82; 95% confidence interval, 0.74–0.90; McNemar test P = .48). ESAT-6–free IGRA blood collection tubes had acceptable lot-to-lot variability, precision, and stability. Conclusions The novel ESAT-6–free IGRA had diagnostic accuracy comparable to QFT and is suitable for use in clinical trials to assess efficacy of candidate TB vaccines to prevent established M.tb infection.
GaAs Schmitt trigger memory cell design

A GaAs five-transistor static memory cell is proposed. It is derived from nMOS Schmitt trigger. The memory cell overcomes the subthreshold leakage loss by using a self ground-shifting technique which limits the leakage current flow to the cell. Compared with conventional GaAs SRAM cells, it offers small design area and allows large memory arrays to be realized. A prototype was implemented in a 1 /spl mu/m non-self aligned GaAs MESFET technology with read and write access time of 1.0 ns and 1.25 ns, respectively. <<ETX>>
The development of a pre-service teacher evaluation database

The purpose of this research and development study was to design and develop an affordable, computer-based, pre-service teacher assessment and reporting system to allow teacher education institutions and supervising teachers to efficiently enter evaluation criteria, record pre-service teacher evaluations, and generate evaluation reports. The system design supports pre-service teacher evaluators and the data collection, evaluation, and reporting needs of pre-service teacher training institutions. The researcher used a literature review and a needs assessment to determine the need for the system and to define the system prototype’s functional requirements. The researcher used a modified ten-phase development approach (Borg & Gall, 1989) to develop the system. Three separate evaluator groups reviewed the system during development. Teacher licensing officers from private colleges and the Regents Universities in Kansas participated in the needs assessment phase of the study. Past and present National Council for Accreditation of Teacher Education (NCATE) evaluation team members served as expert evaluators who provided feedback regarding the validity and functionality of the system prototype. Supervising professors from Regents University colleges of education and from private universities represented the target users and provided feedback regarding the validity, user friendliness, and usefulness of the system. Prior to sending the system prototype to evaluator groups, the prototype was reviewed by a select group of educators and information technology professionals to make sure the prototype was functioning properly and that it could be easily installed by evaluators. The overall results of the needs assessment indicated that the computer-based, pre-service teacher evaluation system that was developed would add value to and improve the evaluation process for teacher training institutions that use spreadsheet and paper-based systems. Survey respondents determined that the system prototype could meet important data collection, analysis, and reporting needs and could increase reporting and data retrieval efficiency for teacher evaluators and teacher training institutions. Target user evaluations found the system to be useable, functionally adequate, and a useful assessment tool. TECHNOLOGY ENHANCED TEACHER EVALUATION