Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Error Detection Method for P300-based Spelling Using Riemannian Geometry

Brain-Computer Interface (BCI) systems have be-come one of the valuable research area of ML (Machine Learning) and AI based techniques have brought significant change in traditional diagnostic systems of medical diagnosis. Specially; Electroencephalogram (EEG), which is measured electrical ac-tivity of the brain and ionic current in neurons is result of these activities. A brain-computer interface (BCI) system uses these EEG signals to facilitate humans in different ways. P300 signal is one of the most important and vastly studied EEG phenomenon that has been studied in Brain Computer Interface domain. For instance, P300 signal can be used in BCI to translate the subject’s intention from mere thoughts using brain waves into actual commands, which can eventually be used to control different electro mechanical devices and artificial human body parts. Since low Signal-to-Noise-Ratio (SNR) in P300 is one of the major challenge because concurrently ongoing heterogeneous activities and artifacts of brain creates lots of challenges for doctors to understand the human intentions. In order to address above stated challenge this research proposes a system so called Adaptive Error Detection method for P300-Based Spelling using Riemannian Geometry, the system comprises of three main steps, in first step raw signal is cleaned by preprocessing. In second step most relevant features are extracted using xDAWN spatial filtering along with covariance matrices for handling high dimensional data and in final step elastic net classification algorithm is applied after converting from Riemannian manifold to Euclidean space using tangent space mapping. Results obtained by proposed method are comparable to state-of-the-art methods, as they decrease time drastically; as results suggest six times decrease in time and perform better during the inter-session and inter-subject variability.
Chromatin patterns associated with lung adenocarcinoma progression

The development and progression of lung adenocarcinoma, one of the most common cancers, is driven by the interplay of genetic and epigenetic changes and the role of chromatin structure in malignant transformation remains poorly understood. We used systematic nucleosome distribution and chromatin accessibility microarray mapping platforms to analyze the genome-wide chromatin structure from normal tissues and from primary lung adenocarcinoma of different grades and stages. We identified chromatin-based patterns across different patients with lung adenocarcinoma of different cancer grade and stage. Low-grade cancers had nucleosome distributions very different compared with the corresponding normal tissue but had nearly identical chromatin accessibility. Conversely, nucleosome distributions of high-grade cancers showed few differences. Substantial disruptions in chromosomal accessibility were seen in a patient with a high-grade and high-stage tumor. These data imply that chromatin structure changes during the progression of lung adenocarcinoma. We have therefore developed a model in which low-grade lung adenocarcinomas are linked to changes in nucleosome distributions, whereas higher-grade tumors are linked to large-scale chromosomal changes. These results provide a foundation for the development of a comprehensive framework linking the general and locus-specific roles of chromatin structure to lung cancer progression. We propose that this strategy has the potential to identify a new class of chromatin-based diagnostic, prognostic and therapeutic markers in cancer progression.
Testing a Joint Moderator of Ego Strength and Ethical Climate: A Study of the Process of Peer Reporting Intentions in IT Ethics

This investigation examines how ego strength and organizational ethical climate jointly moderate the ethical decision making process involved in forming peer reporting intentions. A conceptual model is proposed, in which peer reporting intentions are influenced simultaneously by subjective norm, ethical judgments, and attitudes. Additionally, the relationships are moderated by a joint moderator, which combines ego strength and ethical climate. The subjects, namely MIS students, were provided with scenarios depicting unethical IT behavior by colleagues and asked if they would have peer reporting intentions in these situations. Test results confirm that subjective norm and attitudes influence peer reporting intentions, and partially support the influence of ethical judgment. Notably, compared with low ego strength individuals under an unclear ethical climate (LU individuals), high ego strength individuals under a clear ethical climate (HC individuals) display a stronger relationship between ethical judgment and peer reporting intentions. Finally, the influences of subjective norm and attitudes on peer reporting intentions are similar for both LU and HC individuals. The implications of this situation are discussed as well.
Enhancing False Alarm Reduction Using Voted Ensemble Selection in Intrusion Detection

Abstract Network intrusion detection systems (NIDSs) have become an indispensable component for the current network security infrastructure. However, a large number of alarms especially false alarms are a big problem for these systems which greatly lowers the effectiveness of NIDSs and causes heavier analysis workload. To address this problem, a lot of intelligent methods (e.g., machine learning algorithms) have been proposed to reduce the number of false alarms, but it is hard to determine which one is the best. We argue that the performance of different machine learning algorithms is very fluctuant with regard to distinct contexts (e.g., training data). In this paper, we propose an architecture of intelligent false alarm filter by employing a method of voted ensemble selection aiming to maintain the accuracy of false alarm reduction. In particular, there are four components in the architecture: data standardization, data storage, voted ensemble selection and alarm filtration. In the experiment, we condu.
Preparation and Biological Characteristics of Recombinant Human Bone Morphogenetic Protein-2-Loaded Dextran-co-Gelatin Hydrogel Microspheres, in vitro and in vivo Studies

Hydrogels are based on hydrophilic polymers which are cross-linked to prevent dissolution in water. Because hydrogels can contain large amounts of water, they are interesting devices for the delivery of protein drugs. In this contribution, biodegradable dextran-co-gelatin hydrogel microspheres (DG-MPs) are described which are based on physical interactions and are particularly suitable for the controlled delivery of pharmaceutically active proteins. The unique feature of this preparation system is that the hydrogel microsphere formation takes place in an all-aqueous solution, by which the use of organic solvents is avoided. We investigated the preparation and biological activities of recombinant human bone morphogenetic protein-2 (rhBMP2)-loaded dextran-co-gelatin hydrogel microspheres (rhBMP2-DG-MPs), which aimed to keep rhBMP2’s biological activity and to achieve a long-term sustained release of rhBMP2. The microspheres’ average diameter was about 20–40 µm and rhBMP2 release in vitro could be maintained for >10 days. Cytology studies showed that using rhBMP2-DG-MPs could promote the proliferation and osteoblastic differentiation of periodontal ligament cells better than using rhBMP2 aqueous solution. By a freeze-drying method, rhBMP2-DG-MPs could be adhered in chitosan membranes for guided tissue regeneration use, namely functionalized membranes. To evaluate bone regeneration induced by rhBMP2-DG-MPs, an animal experiment with canine class III furcation defects was adopted and the results indicated that using rhBMP2-DG-MPs incorporating scaffolds and functionalized membranes could gain more periodontal tissue regeneration than using scaffolds and general membranes soaked with concentrated rhBMP2 aqueous solution. Therefore, those studies demonstrate the potential of DG-MPs in the sustained delivery of low dosages of rhBMP2 to periodontal defects.
Deep Counterfactual Networks with Propensity-Dropout

We propose a novel approach for inferring the individualized causal effects of a treatment (intervention) from observational data. Our approach conceptualizes causal inference as a multitask learning problem; we model a subject's potential outcomes using a deep multitask network with a set of shared layers among the factual and counterfactual outcomes, and a set of outcome-specific layers. The impact of selection bias in the observational data is alleviated via a propensity-dropout regularization scheme, in which the network is thinned for every training example via a dropout probability that depends on the associated propensity score. The network is trained in alternating phases, where in each phase we use the training examples of one of the two potential outcomes (treated and control populations) to update the weights of the shared layers and the respective outcome-specific layers. Experiments conducted on data based on a real-world observational study show that our algorithm outperforms the state-of-the-art.
Spin Transfer Torque-RAM Devices as a Future Non-volatile Memory Solution

“A STT-RAM cell encodes information in magnetization direction through a magnetic tunnel junction (MTJ). STT-RAM offers advantages over current memory technologies with its virtually unlimited endurance, low current draw, and small cell size. A barrier to the success of STT-RAM is the unpredictable resistance of the ferromagnetic layers in MTJs and the particular shape anisotropy of the ferromagnetic layers. Additionally, STT-RAM is prone to writing errors due to the relationship between an MTJ’s operating temperature and its thermal stability. However, realizing the potential of STT-RAM could lead to a new era of instant-ON technologies, as well as great improvements to battery live and computational speed of current devices.
Mapping and scheduling of dataflow graphs — A systematic map

Dataflow is a natural way of modelling streaming applications, such as multimedia, networking and other signal processing applications. In order to cope with the computational and parallelism demands of such streaming applications, multiprocessor systems are replacing uniprocessor systems. Mapping and scheduling these applications on multiprocessor systems are crucial elements for efficient implementation in terms of latency, throughput, power and energy consumption etc. Performance of streaming applications running on multiprocessor systems may widely vary with mapping and scheduling strategy. This paper performs a systematic literature review of available research carried out in the area of mapping and scheduling of dataflow graphs.
Surface melting of clusters and implications for bulk matter.

Surface melting on clusters is investigated by a combination of analytic modeling and computer simulation. Homogeneous argonlike clusters bound by Lennard-Jones forces and Cu-like clusters bound by «embedded-atom» potentials are the systems considered. Molecular-dynamics calculations have been carried out for clusters with 40-147 atoms. Well below the bulk melting temperature, the surfaces become very soft, exhibiting well-defined diffusion constants even while the cores remain nearly rigid and solidlike
Migfilin Regulates Esophageal Cancer Cell Motility through Promoting GSK-3β–Mediated Degradation of β-Catenin

Migfilin, a protein component of focal adhesions, has been implicated in regulation of cell–extracellular matrix adhesion and motility but the underlying mechanisms are not fully elucidated. In this study, we have determined the functions of migfilin in esophageal cancer cells and the mechanisms involved. We show that the expression level of migfilin is negatively associated with clinical metastasis, and enforced expression of migfilin suppressed cell motility through decreased free β-catenin level. Overexpression of migfilin resulted in destabilization of β-catenin in concomitance with reduction of its transcriptional activity. Knockdown of migfilin by siRNA, transfection of a mutant β-catenin at Ser37 which is a critical phosphorylation site of GSK-3β, GSK-3β inhibitor LiCl, or proteasome inhibitor MG132 reversed the migfilin-mediated β-catenin degradation and transcription inhibition. Moreover, migfilin promoted β-catenin degradation by reinforcing the association between β-catenin and GSK-3β. In addition, exogenously expressed β-catenin partially restored migfilin-induced suppression of cell invasion. Collectively, these results suggest that the expression level of migfilin in ESCCs is inversely correlated with clinical metastasis status, and migfilin inhibits ESCC cell invasion at least in part through promoting degradation of β-catenin. Mol Cancer Res; 10(3); 273–81. ©2012 AACR.
A comparison between a single and a double tuned hybrid power filter under power quality analysis

This article presents a comparative analysis between two hybrid active power filters, a single tuned hybrid active power filter (STHF) and a double tuned hybrid active power filter (DTHF). This comparative study focused to analyze the power filters performance under the following characteristics: the total harmonic distortion, power factor correction and the power processed by the converter. The instantaneous power theory was used to implement the control of the active power filters. It was also used the Multiple Second Order Generalized Integrator-Frequency Locked Loop (MSOGI-FLL) circuit in order to improve the selectivity algorithm of the filter active. The STHF and DTHF topology will be discussed as well as the implemented control strategy. The simulation results were obtained using the PSCAD/EMTDC software that was used to build the simulation models.
Ultra-low-loss silicon based spot-size converter fabricated by CMOS compatible process

An ultra-low-loss silicon based spot-size converter with an ultimate inverse-tapered waveguide was fabricated using a double-patterning photolithography technique. The measured mode conversion losses were 0.35±0.05 and 0.21±0.01 dB for the TE- and TM-like modes, respectively.
Diagnosis of Brain Tumors Using Amino Acid Transport PET Imaging with 18F-fluciclovine: A Comparative Study with L-methyl-11C-methionine PET Imaging

Objective(s): 18F-fluciclovine (trans-1-amino-3-[18F] fluorocyclobutanecarboxylic acid, [FACBC]) is an artificial amino acid radiotracer used for positron emission tomography (PET) studies, which is metabolically stable in vivo and has a long half-life. It has already been shown that FACBC-PET is useful for glioma imaging. However, there have been no reports evaluating the efficiency of FACBC-PET in the diagnosis of brain tumors in comparison with other PET tracers in clinical studies. The purpose of this study was to investigate the efficacy of FACBC-PET imaging in glioma diagnosis, compared to L-methyl-11C-methionine (MET)-PET. Methods: Six consecutive patients (four male, two female), who were clinically suspected of having high- or low-grade glioma, received both FACBC-PET and MET-PET within a two-week interval. T1-weighted, contrast-enhanced, T1-weighted, and fluid-attenuated inversion recovery magnetic resonance imaging was performed to assist with subsequent tissue resection. Visual findings and semi-quantitative analyses of FACBC and MET uptake, using standardized uptake values (SUVs) and lesion-to-contralateral normal brain tissue (LN) ratios, were evaluated to compare PET images. Results: SUVs for FACBC were lower than those for MET in the non-lesion cerebral cortex, brain stem, and cerebellar hemisphere. There was a weak positive correlation between FACBC and MET uptake in glioma tissue, although L/N ratios for FACBC were higher than those for MET in all the cases. Conclusion: FACBC-PET showed higher contrast than MET-PET by both visual and semi-quantitative analyses and may therefore provide better assessment for the detection of glioma. This study was registered as clinical trial (No. JapicCTI-132289).
A high performance, high yield, dry-etched, pseudomorphic HEMT for W-band use

A GaAs pseudomorphic HEMT process has been optimised for high performance and yield at W-band. Several key nano-fabrication techniques are explored for performance, manufacturability and process sensitivity. The molecular beam epitaxially grown pHEMT layer is optimised for reduced short channel effects, high transconductance (690 mS/mm) and reliability. Electron-beam lithography produces ultra short T-gates with high reproducibility. Selective reactive ion etching enables both the depth and width of the gate recess to be accurately controlled. 0.2 /spl mu/m pHEMTs with two 50 /spl mu/m gate fingers exhibit average values for f/sub T/ and f/sub max/ of 121 and 157 GHz with low standard deviations of 4.6 and 2.9 GHz respectively. <<ETX>>
Structure of worldwide populations of Lasioderma serricorne (Coleoptera: Anobiidae) as revealed by amplified fragment length polymorphism profiles

Abstract The cigarette beetle Lasioderma serricorne through transportation affects the infestation of stored tobacco. Using amplified fragment length polymorphism (AFLP), DNA polymorphisms were assessed in 16 populations of L. serricorne collected from 15 countries. The dendrograms constructed from profile distance matrices revealed well-supported colony clusters. There was no clear clustering as a function of the geographic origin of the samples. The results suggest extensive insect dispersal among geographical regions due to movement of infested commodities worldwide. This first AFLP population study of a stored-product insect demonstrates the potential of AFLP for distinguishing L. serricorne populations.
Nonlinear formation of structures in rotating stratified turbulence

Nonlinear approaches such as direct numerical simulations (DNS) yield a characteristic structuring in homogeneous turbulence as a result of modified dynamics under the effect of rotation and stable stratification. The structures are elongated for dominant rotation or flat when stratification dominates. Nonlinearity is essential for constructing these anisotropic Eulerian features, which we quantify by single and two-point second-order statistics. Linear approaches such as rapid distorsion theory (RDT) and kinematic simulations (KS) do not reproduce these effects at all. However, when looking at Lagrangian statistics, both linear and nonlinear models seem to yield very similar anisotropic trends. In order to investigate this paradox, we consider statistically homogeneous turbulence with vertical stable stratification characterized by the Brunt–Väisälä frequency N and vertical system rotation with frequency Ω in the Boussinesq system of equations. For different values of the ratio 2 Ω/N, we compare Eulerian and Lagrangian statistics. The detailed dynamics of energy is studied by splitting the velocity in toroidal and poloidal modes, which we put in relation with the wave/vortex linear decomposition. From DNS, the results for dominant stratification show a large disequilibrium of anisotropy between the toroidal and poloidal parts. For dominant rotation, angular spectra show an equidistribution of energy between poloidal and toroidal parts, with non-isotropic angular distribution of the energy density down to the smallest scales. Regarding Lagrangian statistics, DNS results are compared with two linear models based on RDT and KS, respectively. The linear models reproduce extremely well the oscillations and confinement of vertical one-point dispersion when stratification is present. Horizontal diffusion laws compare well in a qualitative way. However, quantitative differences can be detected.
A method for fitting regression splines with varying polynomial order in the linear mixed model

The linear mixed model has become a widely used tool for longitudinal analysis of continuous variables. The use of regression splines in these models offers the analyst additional flexibility in the formulation of descriptive analyses, exploratory analyses and hypothesis‐driven confirmatory analyses. We propose a method for fitting piecewise polynomial regression splines with varying polynomial order in the fixed effects and/or random effects of the linear mixed model. The polynomial segments are explicity constrained by side conditions for continuity and some smoothness at the points where they join. By using a reparameterization of this explicitly constrained linear mixed model, an implicitly constrained linear mixed model is constructed that simplifies implementation of fixed‐knot regression splines. The proposed approach is relatively simple, handles splines in one variable or multiple variables, and can be easily programmed using existing commercial software such as SAS or S‐plus. The method is illustrated using two examples: an analysis of longitudinal viral load data from a study of subjects with acute HIV‐1 infection and an analysis of 24‐hour ambulatory blood pressure profiles. Copyright © 2005 John Wiley & Sons, Ltd.
The trans-10, cis-12 isomer of conjugated linoleic acid decreases adiponectin assembly by PPARγ-dependent and PPARγ-independent mechanisms Published, JLR Papers in Press, December 4, 2007.

The adipocyte-derived secretory protein adiponectin functions as an insulin-sensitizing agent. In plasma, adiponectin exists as low, medium, and high molecular weight oligomers. Treatment with trans-10, cis-12 conjugated linoleic acid (t-10, c-12 CLA) reduces levels of adiponectin as well as triglyceride (TG) in mice and adipocyte cell culture models. The aim of this study was to determine whether the effects of t-10, c-12 CLA on adiponectin and TG are mediated through modulation of the transcription factor peroxisome proliferator-activated receptor γ (PPARγ). 3T3-L1 cells were treated either during or after differentiation into adipocytes with 100 μM t-10, c-12 CLA with or without 10 μM troglitazone, a PPARγ agonist, or 1 μM GW9662, a PPARγ antagonist, and adiponectin and TG levels were analyzed. Treatment with t-10, c-12 CLA reduced TG as well as cellular and secreted adiponectin levels and impaired the assembly of adiponectin oligomers. These changes were accompanied by decreases in PPARγ mass. Troglitazone was able to reverse the t-10, c-12 CLA-mediated decrease in TG levels and restore the assembly of adiponectin oligomers but was unable to restore adiponectin synthesis. Conversely, treatment with GW9662 decreased TG mass and impaired adiponectin oligomer assembly but did not decrease total adiponectin mass. In a reporter assay, t-10, c-12 CLA appeared to be a partial PPARγ agonist and prevented the stimulation of reporter activity by troglitazone. Therefore, the t-10, c-12 CLA isomer appears to alter adipocyte adiponectin metabolism through PPARγ-dependent and PPARγ-independent mechanisms.
MAC of I‐653 in Rats, Including a Test of the Effect of Body Temperature and Anesthetic Duration

The anesthetic potency of a new fluorinated volatile anesthetic, I-653, was tested preliminary to testing its toxic and metabolic characteristics in rats. The minimum alveolar concentration (MAC) of 1–653 at 37.9 ± 0.2°C (mean ± sd) in eight rats was 5.72 ± 0.40%. In five rats, we reduced the rectal temperature to 28°C in two steps of 5°C. MAC decreased by 0.238 ± 0.036% I-653 per degree centigrade decrease in temperature. That is, MAC decreased 42% as temperature decreased 10°C. We restored the temperature to38°C and redetermined MAC. This value (5.66 ± 0.75%) did not differ from the average MAC obtained before hypothermia (5.84 ± 0.36%).