Miracle-dz/UniFAR-FTUs huggingface dataset:
A merging method of certification authorities without using cross-certifications

The public key infrastructure (PKI) technology is very important to support secure global electronic commerce and digital communications on networks. In electronic commerce, different PKIs need to be interoperated. Especially, they need to be merged for merger and acquisition of companies. We take a different approach from cross-certification techniques toward merging different PKIs. Our method is to merge the multiple CAs into one. By using our method, the trust model with an efficient path processing can be built in comparison with the traditional merging methods. Then we formalize merging processes and discuss the certification path processing and the operational cost.
An algorithm for the Classification of Coherence Related Overhead in Shared-Bus Shared-Memory Multiprocessors

This paper describes an algorithm for the classification of coherence overhead in shared-bus shared-memory multiprocessors. This algorithm is applicable to Write Update, Write Invalidate and Hybrid protocols and models the effect of finite size (real) cache. It differs from previous classifications because it classifies any sources of coherence overhead, i.e. invalidation miss, invalidate and write transactions, and also classifies the sharing due to process migration, namely passive sharing. A validation has been carried out considering SPLASH benchmark, and sample results in the case of E-Commerce Server are given.
Some correlations for diffusion in amorphous alloys

Diffusion of several impurity atoms (Cu, Al, Au, and Sb) has been studied in Zr_61Ni_39 and Fe_82B_18 amorphous alloys. A definite correlation between the diffusion coefficient ( D ) and the atomic size of the diffusant is seen for the metal-metal (M–M) alloy, while it is not clear for the metal-metalloid (M–Me) alloy. Based on the present data, as well as other published data in binary amorphous alloys, empirical correlations have been found between (i) the activation energy ( Q ) and the energy required to form a hole of the size of the diffusing atom in the host alloy, and (ii) the pre-exponential factor ( D _0) and Q. While the former correlation is seen only for binary M–M type of amorphous alloys, the latter correlation is more general and holds for all types of amorphous alloys. Based on the correlation between D _0 and Q , it is proposed that there are two distinct mechanisms of diffusion in amorphous alloys.
Processor modeling for hardware software codesign

In hardware-software codesign paradigm often a performance estimation of the system is needed for hardware-software partitioning. The tremendous growth of application specific embedded systems necessitates high level system design tools for rapid prototyping. This work involves design of a language Sim-nML which will be the base for a high level system design environment. The language is simple, elegant and powerful enough to express the behavior of the processor at instruction level. This language is used as the base for a whole set of tools such as assembler/disassembler and simulator generator. As a part of this work, we implemented an instruction set simulator generator which takes Sim-nML description of the processor as input and produces C++ code for performance simulator. We envisage the use of the generated simulator for cycle based analysis of the processor and for performance estimation of the system. This work is primarily an extension of nML language.
Effect of Low Density Lipoprotein Concentration Polarization on Endothelial Cells Adhesion

To test the hypothesis that concentration polarization of atherogenic lipids may occur in the arterial system and probe the effect of endothelial cells (ECs). A modifier with local stenosis was developed. The luminal surface LDL concentration at the distal of stenosis was analyzed with numerical stimulation and was measured by confocal microscopy. ECs were incubated with low density lipoprotein(LDL). Then, ECs were exposed to shear stress(15dyn/cm2) and F-actin was examined by fluorescence staining. Numerical stimulation showed that the luminal surface LDL concentration was higher than the bulk concentration. The relative luminal surface LDL concentration varied with the velocity and degree of stenosis. The experimental detection result was very good agreement with the numerical analysis. After treated with LDL, F-actin reorganization was observed. Under flow, the adhesion and retention of ECs were negatively relative to LDL concentration. Therefore provided concentration polarization of LDL occurs at the distal end of stenosis, and in turn effect the adhesion of ECs under flow.
The Snapping Elbow Syndrome as a Reason for Chronic Elbow Neuralgia in a Tennis Player – MR, US and Sonoelastography Evaluation

Summary Background Ulnar neuropathy is the second most common peripheral nerve neuropathy after median neuropathy, with an incidence of 25 cases per 100 000 men and 19 cases per 100 000 women each year. Skipping (snapping) elbow syndrome is an uncommon cause of pain in the posterior-medial elbow area, sometimes complicated by injury of the ulnar nerve. One of the reason is the dislocation of the abnormal insertion of the medial triceps head over the medial epicondyle during flexion and extension movements. Others are: lack of the Osboune fascia leading to ulnar nerve instability and focal soft tissue tumors (fibromas, lipomas, etc). Recurrent subluxation of the nerve at the elbow results in a tractional and frictional neuritis with classical symptoms of peripheral neuralgia. As far as we know snapping triceps syndrome had never been evaluated in sonoelastography. Case Report A 28yo semi-professional left handed tennis player was complaining about pain in posterior-medial elbow area. Initial US examination suggest golfers elbow syndrome which occurs quite commonly and has a prevalence of 0.3–0.6% in males and 0–3–1.1% in women and may be associated (approx. 50% of cases) with ulnar neuropathy. However subsequently made MRI revealed unusual distal triceps anatomy, moderate ulnar nerve swelling and lack of medial epicondylitis symptoms. Followed (second) US examination and sonoelastography have detected slipping of the both ulnar nerve and the additional band of the medial triceps head. Discussion Snapping elbow syndrome is a poorly known medical condition, sometimes misdiagnosed as the medial epicondylitis. It describes a broad range of pathologies and anatomical abnormalities. One of the most often reasons is the slipping of the ulnar nerve as the result of the Osborne fascia/anconeus epitrochlearis muscle absence. Simultaneously presence of two or more “snapping reasons” is rare but should be always taken under consideration. Conclusions There are no sonoelastography studies describing golfers elbow syndrome, additional triceps band and ulnar neuritis. Our data suggest that the sonoelastography signs are similar to those seen in well described lateral epicondylitis syndrome, Achilles tendinitis and medial nerve neuralgia.
Box Spline Wavelet Frames for Image Edge Analysis

We present a new box spline wavelet frame and apply it for image edge analysis. The wavelet frame is constructed using a box spline of eight directions. It is tight and has seldom been used for applications. Due to the eight different directions, it can find edges of various types in detail quite well. In addition to step edges (local discontinuities in intensity), it is able to locate Dirac edges (momentary changes of intensity) and hidden edges (local discontinuity in intensity derivatives). The method is simple and robust to noise. Many numerical examples are presented to demonstrate the effectiveness of this method. Quantitative and qualitative comparisons with other edge detection techniques are provided to show the advantages of this wavelet frame. Our test images include synthetic images with known ground truth and natural, medical images with rich geometric information.
Recent progress of high performance organic thin film field-effect transistors

During the past few decades, thousands of organic semiconductors have been designed and synthesized for organic thin-film transistors (OTFTs). However, most of them exhibit non-ideal performance. After carefully reviewing recent OTFTs with high performance, e.g., OTFTs with mobility over 1.0 cm2 V−1s−1, guidelines for device fabrication are highlighted, especially the importance in finding promising compounds and regulating molecular properties for OTFTs, as well as in modifying surfaces of dielectric and electrodes for high-quality devices.
Diagnosis of realistic bridging faults with single stuck-at information

Precise failure analysis requires accurate fault diagnosis. A previously proposed method for diagnosing bridging faults using single stuck-at dictionaries was applied only to small circuits, produced large and imprecise diagnoses, and did not take into account the Byzantine Generals Problem for bridging faults. We analyze the original technique and improve it by introducing the concepts of match restriction, match requirement, and failure recovery. Our new technique, which requires no information other than that used by standard stuck-at methods, produces diagnoses that are an order of magnitude smaller than those produced by the original technique and produces many fewer misleading diagnoses than that of traditional stuck-at diagnosis.
Clinical Psychology Applications of Automated Syntax Analysis

In this research we analyze the contribution of automatic syntax analysis to the field of clinical psychology. Using data from a cognitive study on patients with dementia, sentence grammar structures are extracted from transcribed speech samples and are analyzed for patterns of speech complexity. These are used to explore correlations between cognitive impairment due to differing diagnoses of dementia and speech syntax. The hypothesis is that patients suffering from dementia affecting executive functioning will show significantly less use of syntactic phenomena which require a high level of logical organization. The method chosen is to employ tools that identify specific sentence structures and their rates of occurrence, and use these results to identify significant differences between the group with dementia and the control group. The results support this hypothesis, finding significant differences for certain syntactic patterns.
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II

Partly due to lack of test problems, the impact of the Pareto set (PS) shapes on the performance of evolutionary algorithms has not yet attracted much attention. This paper introduces a general class of continuous multiobjective optimization test instances with arbitrary prescribed PS shapes, which could be used for studying the ability of multiobjective evolutionary algorithms for dealing with complicated PS shapes. It also proposes a new version of MOEA/D based on differential evolution (DE), i.e., MOEA/D-DE, and compares the proposed algorithm with NSGA-II with the same reproduction operators on the test instances introduced in this paper. The experimental results indicate that MOEA/D could significantly outperform NSGA-II on these test instances. It suggests that decomposition based multiobjective evolutionary algorithms are very promising in dealing with complicated PS shapes.
Measuring Health-Related Quality of Life in Adolescents by Subgroups of Students and Outpatient Mental Health Clients

This study aims to compare generic measures of HRQoL obtained with the KIDSCREEN-27 into subgroups of adolescents from different contexts including subgroup of outpatient treatment for mental disorders and subgroups of students from regions with low and high human development index in the direction of analyzing the discriminant properties of the instrument and its utility to monitor health outcomes in adolescents. Descriptive statistics are presented by group and gender. The statistical analyses aimed to check the reliability, convergent validity between self-report and proxy versions and discriminant validity between clinical and students contexts using KIDCREEN- 27 questionnaires. Most assumptions about the reliability, convergent and discriminant validity of the instrument KIDSCREEN-27 were established. This research highlighted lower scores of HRQOL in adolescents with mental illness in four of five dimensions, with an effect size ranging from 0.25 for Physical Well-Being to 0.46 for Autonomy & Parents. The results were acceptable, but the findings in this study were more modest than those obtained in the original validation of the instrument.
Estimation of effective connectivity via data-driven neural modeling

This research introduces a new method for functional brain imaging via a process of model inversion. By estimating parameters of a computational model, we are able to track effective connectivity and mean membrane potential dynamics that cannot be directly measured using electrophysiological measurements alone. The ability to track the hidden aspects of neurophysiology will have a profound impact on the way we understand and treat epilepsy. For example, under the assumption the model captures the key features of the cortical circuits of interest, the framework will provide insights into seizure initiation and termination on a patient-specific basis. It will enable investigation into the effect a particular drug has on specific neural populations and connectivity structures using minimally invasive measurements. The method is based on approximating brain networks using an interconnected neural population model. The neural population model is based on a neural mass model that describes the functional activity of the brain, capturing the mesoscopic biophysics and anatomical structure. The model is made subject-specific by estimating the strength of intra-cortical connections within a region and inter-cortical connections between regions using a novel Kalman filtering method. We demonstrate through simulation how the framework can be used to track the mechanisms involved in seizure initiation and termination.
Luteocirrhus shearii gen. sp. nov. (Diaporthales, Cryphonectriaceae) pathogenic to Proteaceae in the South Western Australian Floristic Region

Morphological and DNA sequence characteristics of a pathogenic fungus isolated from branch cankers in Proteaceae of the South West Australian Floristic Region elucidated a new genus and species within Cryphonectriaceae (Diaporthales). The pathogen has been isolated from canker lesions in several Banksia species and Lambertia echinata subsp. citrina, and is associated with a serious decline of the rare B. verticillata. Lack of orange pigment in all observed structures except cirrhi, combined with pulvinate to globose black semi-immersed conidiomata with paraphyses, distinguishes the canker fungus from other genera of Cryphonectriaceae. This was confirmed by DNA sequence analysis of the ITS regions, β-tubulin, and LSU genes. The fungus (sexual morph unknown) is described as Luteocirrhus shearii gen. sp. nov. Lesions in seedlings of Banksia spp. following wound inoculation and subsequent recovery confirm Koch’s postulates for pathogenicity. This pathogen of native Proteaceae is currently an emerging threat, particularly toward B. baxteri and B. verticillata.
Phylogenetic diversity of insecticolous fusaria inferred from multilocus DNA sequence data and their molecular identification via FUSARIUM-ID and Fusarium MLST

We constructed several multilocus DNA sequence datasets to assess the phylogenetic diversity of insecticolous fusaria, especially focusing on those housed at the Agricultural Research Service Collection of Entomopathogenic Fungi (ARSEF), and to aid molecular identifications of unknowns via the FUSARIUM-ID and Fusarium MLST online databases and analysis packages. Analyses of a 190-taxon, two-locus dataset, which included 159 isolates from insects, indicated that: (i) insect-associated fusaria were nested within 10 species complexes spanning the phylogenetic breadth of Fusarium, (ii) novel, putatively unnamed insecticolous species were nested within 8/10 species complexes and (iii) Latin binomials could be applied with confidence to only 18/58 phylogenetically distinct fusaria associated with pest insects. Phylogenetic analyses of an 82-taxon, three-locus dataset nearly fully resolved evolutionary relationships among the 10 clades containing insecticolous fusaria. Multilocus typing of isolates within four species complexes identified surprisingly high genetic diversity in that 63/65 of the fusaria typed represented newly discovered haplotypes. The DNA sequence data, together with corrected ABI sequence chromatograms and alignments, have been uploaded to the following websites dedicated to identifying fusaria: FUSARIUM-ID (http://isolate.fusariumdb.org) at Pennsylvania State University’s Department of Plant Pathology and Fusarium MLST (http://www.cbs.knaw.nl/fusarium) at the Centraalbureau voor Schimmelcultures (CBS-KNAW) Fungal Biodiversity Center.
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI

Non-invasive EEG signal based brain computer interface (BCI) for motor imagery task - classification requires large number of subject specific training samples for each user session that reduces the user feasibility of BCI. A generalized classifier using few subject specific sample will ease the real world implementation of motor imagery based BCI. At first, this paper applies an improved active transfer learning (ATL) on motor imagery based BCI. Then, it proposes a noble method of transferring selective instances (selected by few new subject specific data) from other subjects to new subject combining with selecting most informative subject specific data determined by active learning. Experimental results on BCI competition IV 2B dataset show that improved ATL works well on six out of nine subjects and proposed SIITAL method overcomes ATL limitation for other subjects. This means, it can achieve similar or better accuracy with a lower quantity of subject specific training data. Thus, it reduces the calibration effort.
Adaptive cytoprotection through modulation of nitric oxide in ethanol-evoked gastritis.

AIM To assess the mechanisms of protective action by different mild irritants through maintenance of gastric mucosal integrity and modulation of mucosal nitric oxide (NO) in experimental gastritis rats. METHODS Either 200 mL/L ethanol, 50 g/L NaCl or 0.3 mol/L HCl was pretreated to normal or 800 mL/L ethanol-induced acute gastritis Sprague-Dawley rats before a subsequent challenge with 500 mL/L ethanol. Both macroscopic lesion areas and histological damage scores were determined in the gastric mucosa of each group of animals. Besides, gastric mucosal activities of NO synthase isoforms and of superoxide dismutase, along with mucosal level of leukotriene (LT)C4 were measured. RESULTS Macroscopic mucosal damages were protected by 200 mL/L ethanol and 50 g/L NaCl in gastritis rats. However, although 200 mL/L ethanol could protect the surface layers of mucosal cells in normal animals (protection attenuated by NG-nitro-L-arginine methyl ester), no cytoprotection against deeper histological damages was found in gastritis rats. Besides, inducible NO synthase activity was increased in the mucosa of gastritis animals and unaltered by mild irritants. Nevertheless, the elevation in mucosal LTC4 level following 500 mL/L ethanol administration and under gastritis condition was significantly reduced by pretreatment of all three mild irritants in both normal and gastritis animals. CONCLUSION These findings suggest that the aggravated 500 mL/L ethanol-evoked mucosal damages under gastritis condition could be due to increased inducible NO and LTC4 production in the gastric mucosa. Only 200 mL/L ethanol is truly "cytoprotective" at the surface glandular level of non-gastritis mucosa. Furthermore, the macroscopic protection of the three mild irritants involves reduction of LTC4 level in both normal and gastritis mucosa, implicating preservation of the vasculature.
Field-based Fuzzy Spatial Reasoning Model for Geographical Information Systems: Case of Constraint Satisfaction Problem

Humans' representation in nature language about geographic phenomena is usually qualitative rather than quantitative. Qualitative spatial reasoning provides an approach which is considered to be closer to the representation. Commercial GIS software are confronted with a challenge that the software should be equipped with artificial intelligent functions like qualitative spatial reasoning for more and more users, especially for spatial decision-makers. This paper proposes a framework of field-based fuzzy spatial reasoning through which qualitative description usually encountered in spatial reasoning process can be handled quantitatively. As preconditioning, field-based fuzzy representation structure for qualitative description is put forward, then the methods of constructing membership function are discussed. Standard operations of field-based fuzzy spatial reasoning model in the case of constraint satisfaction problem (CSP) are illustrated. An example explains the implication of the model in spatial decision-making process.
Applying Automated Memory Analysis to Improve Iterative Algorithms

In this paper, we describe automated memory analysis, a technique to improve the memory efficiency of a sparse linear iterative solver. Our automated memory analysis uses a language processor to predict the data movement required for an iterative algorithm based upon a MATLAB implementation. We demonstrate how automated memory analysis is used to reduce the execution time of a component of a global parallel ocean model. In particular, code modifications identified or evaluated through automated memory analysis enable a significant reduction in execution time for the conjugate gradient solver on a small serial problem. Further, we achieve a 9 in total execution time for the full model on 64 processors. The predictive capabilities of our automated memory analysis can be used to simplify the development of memory-efficient numerical algorithms or software.
Investigation of fiber bridging in double cantilever beam specimens

An investigation was conducted to (1) see if fiber bridging could be eliminated or at least reduced and (2) evaluate an alternative approach for determination of in-situ Mode I fracture toughness values of composite matrix materials. Toward this end, double cantilever beam (DCB) specimens were made using unidirectional layups of T6C/Hx205 composite material in which the delaminating halves were placed at angles of 0°, 1.5°, and 3° to each other. The small angles between the delaminating plies were used to avoid fiber nesting without significantly affecting Mode I behavior. A starter delamination was introduced by using a thin Teflon® insert. DCB specimens were also fabricated and tested with a 0.0254-mm thick bondline of Hx205 between aluminum adherends. This study resulted in the following conclusions: the extent that fiber bridging and interlaminar toughness increase with crack length can be reduced by slight cross ply at the delamination plane to reduce fiber nesting; some fiber bridging may occur even in the absence of fiber nesting; the first values of toughness measured ahead of the thin Teflon® insert were observed to be very close to the toughness of the matrix material with no fiber bridging; and thin (0.0254-mm) adhesive bondline of matrix material appears to give toughness values equal to the interlaminar toughness of the composite matrix without fiber bridging.