Miracle-dz/UniFAR-FTUs huggingface dataset:
An abundant and ubiquitous homo‐oligomeric ring‐shaped ATPase particle related to the putative vesicle fusion proteins Sec18p and NSF.

We have discovered a ring‐shaped particle of 12.5 nm diameter, 14.5S and apparent molecular weight of approximately 570,000 that displays 6‐fold radial symmetry and is composed of a single kind of an acidic (pI approximately 5.5) polypeptide of Mr 97,000 (p97). Using antibodies to this protein we have detected its occurrence in a wide range of cells and tissues of diverse species from frog to man, including highly specialized cells such as mammalian erythrocytes and spermatozoa. In Xenopus laevis oocytes, the particle is found in both isolated nuclei and in manually enucleated ooplasms, which corresponds to immunofluorescence staining dispersed over both nucleoplasm and cytoplasm. The particle has a N‐ethylmaleimide (NEM)‐inhibitable Mg2(+)‐ATPase activity, and its amino acid sequence, as deduced from cDNA clones, displays considerable homology to the mammalian NEM‐sensitive fusion protein (NSF) and yeast Sec18p believed to be essential for vesicle fusion in secretory processes, indicating that these three proteins belong to the same multigene family.
Synthesis and binding profile of constrained analogues of N‐[4‐(4‐arylpiperazin‐1‐yl)butyl]‐3‐methoxybenzamides, a class of potent dopamine D3 receptor ligands

We recently reported on a series of N‐[4‐(4‐arylpiperazin‐1‐yl)butyl]‐3‐methoxybenzamides, endowed with high affinity for dopamine D3 receptors, but lacking of selectivity over D4, D2, 5‐HT1A, and α1‐receptors. To improve the D3‐receptor affinity and selectivity, without causing a considerable increasing in the lipophilicity, the flexible butyl linker was replaced by a more conformationally constrained cyclohexyl linker. The new cis‐ and trans‐N‐[4‐(4‐aryl‐1‐piperazinyl)cyclohexyl]‐3‐methoxybenzamides (Aryl = 2,3‐di‐Cl‐Ph, 2‐CH3O‐Ph, 4‐Cl‐Ph, 2,3‐di‐CH3‐Ph) were tested in‐vitro for their binding affinity for D3, D4, D2, 5‐HT1A, and α1‐receptors. The trans‐ derivatives were found to be more potent at D3 receptor than the corresponding cis‐ isomers, but less potent than the opened counterparts. This reflected negatively on the selectivity over the other studied receptors. Derivative trans‐N‐{4‐[4‐(2,3‐dichlorophenyl)‐1‐piperazinyl]cyclohexyl}‐3‐methoxybenzamide (trans‐7) showed high D3‐receptor affinity (Ki = 0.18 nm) and a relevant selectivity over D4, D2, 5‐HT1A, and α1‐receptors (>200‐fold). This compound was characterized as a full agonist at D3 receptor when tested in the Eu‐GTP binding assay.
Rosacea-like cutaneous lupus erythematosus: an atypical presentation responding to antimalarials.

© 2013 The Authors. doi: 10.2340/00015555-1414 Journal Compilation © 2013 Acta Dermato-Venereologica. ISSN 0001-5555 Lupus erythematosus (LE) with predominant skin involvement comprises chronic cutaneous LE (CCLE) and subacute cutaneous LE (SCLE). The first includes the so-called discoid CCLE (1), which is the most common form, most frequently involving the face, and characterized by well-defined, red scaly patches healing with atrophy, scarring and pigmentary changes (1). More uncommon subsets of CCLE are lupus tumidus (2, 3) and lupus panniculitis (4, 5). SCLE typically presents with non-scarring annular or papulosquamous eruptions on sun-exposed skin (6, 7), although a number of unusual variants have been described (8–11). The present report describes the clinical findings and course as well as the histopathological, immunofluorescence and laboratory characteristics of 4 patients with cutaneous LE limited to the central face mimicking rosacea. Rosacea is characterized by erythema and telangiectasia and is punctuated by episodes of inflammation manifesting as papules, pustules and swelling (12).
Numerical Solution of Mean-Square Approximation Problem of Real Nonnegative Function by the Modulus of Double Fourier Integral

A nonlinear problem of mean-square approximation of a real nonnegative continuous function with respect to two variables by the modulus of double Fourier integral dependent on two real parameters with use of the smoothing functional is studied. Finding the optimal solutions of this problem is reduced to solution of the Hammerstein type two-dimensional nonlinear integral equation. The numerical algorithms to find the branching lines and branching-off solutions of this equation are constructed and justified. Numerical examples are presented.
Replicability of Psychometric Differences Between Obstructive Sleep Apnea , Primary Snoring , And Periodic Limb Movement Disorder

A lthough several studies document psychological disturbance in various sleep disorders, most existing work concerns insomnia, probably because psychological deviations are presumed to have no particular etiologic role in disorders such as periodic limb movement disorder (PLMD) or obstructive sleep apnea (OSA) syndrome. For example, although psychopathology has been widely documented in OSA (1-9), it is correlated with poor nocturnal oxygen saturation (1,2,5), appears to improve following OSA treatment (10-12), and at least in the case of major depressive disorder, tends not to manifest itself until after OSA onset (13). Even though probably attributable to OSA, such problems may nonetheless be clinically significant (1,2,4,5,9) and thus become an ancillary target of treatment. Finally, we have recently noted that psychometric responses of patients with primary snoring (but not OSA) fall midway between those of OSA patients and normals (4) and are also of a magnitude suggesting clinical significance. Considerably less is known about the type of psychopathology accompanying PLMD, a nocturnal movement disorder which occurs at the rate of 8.6 per 100,000 (14) and is most common among the older adults Replicability of Psychometric Differences Between Obstructive Sleep Apnea, Primary Snoring, And Periodic Limb Movement Disorder
Energy Efficiency of Wireless Access - Impact of Power Amplifiers and Load Variations

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto. fi Author M. M. Aftab Hossain Name of the doctoral dissertation Energy Efficiency of Wireless Access Impact of Power Amplifiers and Load Variations Publisher School of Electrical Engineering Unit Department of Communications and Networking Series Aalto University publication series DOCTORAL DISSERTATIONS 117/2016 Field of research Communications Engineering Manuscript submitted 18 February 2016 Date of the defence 22 June 2016 Permission to publish granted (date) 19 May 2016 Language English Monograph Article dissertation Essay dissertation Abstract In order to ensure seamless coverage and sustainable exponential growth of capacity, there is a keen interest in the development and deployment of highly energy efficient wireless systems and solutions. To design an energy efficient network, it is important to consider the facts that the variations in traffic demand in both temporal and spatial domains are significant, and the power consumption of cellular networks is mostly dominated by macro base stations where the power amplifiers (PAs) consume around 55-70 percent of total energy. One of the main challenges lies in coping with this load variations considering that the PAs attain high efficiency only at around the maximum output power level. In this thesis, we propose energy efficient system level solutions for wireless access network that consider the non-ideal efficiency characteristics of the PA and the load variations. We model and incorporate the PA efficiency in the energy-delay trade-off present in Shannon's channel capacity model in order to investigate the energy saving potential in a wireless access network at the cost of additional flow-level delay. We propose a best response iteration based distributed power control algorithm where the cells identify the power levels for different user locations to minimize energy consumption under delay constraints. We observe that energy saving potential strongly depends on the network load and PA efficiency characteristics. We also investigate the impact of additional delay in the downlink on the energy consumption of the mobile terminal. Heterogeneous network is the leading technology for the next-generation cellular networks. We investigate the energy-efficient densification and load sharing between the layers of a heterogeneous network while taking into consideration the PA efficiency and temporal load variations (TLV). We also study the impact of PA efficiency and energy-delay trade-off on the energy efficient network densification. Massive MIMO (MM) is another leading candidate technology to cater for very high capacity demand. We consider a multi-cell MM system and provide the guidelines to dimension the PA for the antennas. We also develop energy efficient antenna adaptation schemes that allow the cells to dynamically adapt the number of antennas to the TLV in order to maintain high energy efficiency (EE) throughout the day. Our results indicate that these proposed antenna adaptation schemes can improve the EE significantly.
Anomalous dispersion of transparent atomic two- and three-level ensembles

The absorption and dispersion properties of a driven two-level atomic system probed by a weak field have been measured simultaneously with a phase modulated Mach-Zehnder interferometer. We find that the resonant absorption and the negative dispersion are reduced with respect to the nondriving case by a factor of 490 and 47, respectively, which is in good agreement with the theory. This means a {approx}10-fold enhancement of the amount of dispersion provided per amount of residual absorption. The experimental values are compared to the requirements that have to be fulfilled for the realization of a broadband, high finesse optical cavity. Finally, we propose a specific degenerate three-level system that overcomes some of the shortcomings of the driven two-level atom.
A high voltage narrow pulse generator in nanometre CMOS process

A high voltage narrow pulse generating circuit (HNPG) in 90nm CMOS process is introduced which can produce a narrow pulse with amplitude of twice the level of the power supply and can be used to turn on a NMOS transistor completely in a short time in the low power supply environment of 90nm CMOS process. The circuit, which is applied for a patent with the application number 201510243084.6 [1], solves the problem that under the low power level of the nano-metre CMOS process chips, a NMOS transistor can't be turned on completely. The sampling rate of the tracking and holding circuit which employ the HNPG is improved from 700Msps to 1.25Gsps and other performances are also enhanced, with only a little punishment of chip area and power consumption.
Post BWT stages of the Burrows–Wheeler compression algorithm

The lossless Burrows–Wheeler compression algorithm has received considerable attention over recent years for both its simplicity and effectiveness. It is based on a permutation of the input sequence—the Burrows–Wheeler transformation (BWT)—which groups symbols with a similar context close together. In the original version, this permutation was followed by a Move‐To‐Front transformation and a final entropy coding stage. Later versions used different algorithms, placed after the BWT, since the following stages have a significant influence on the compression rate. This paper describes different algorithms and improvements for these post BWT stages including a new context‐based approach. The results for compression rates are presented together with compression and decompression times on the Calgary corpus, the Canterbury corpus, the large Canterbury corpus and the Lukas 2D 16‐bit medical image corpus. Copyright © 2010 John Wiley & Sons, Ltd.
A force estimator based algorithm for robot control

Modifying the control algorithms to eliminate some sensors is a popular methodology to overcome the drawbacks associated with the using of these sensors. Complicating the structure of robot, impossibility to mounting on manipulator in high temperature and large noise, and high price are problems associated with the using of force/torque sensors. With this motivation, a scheme is presented in this paper to eliminate force/torque sensors. Desirable properties of the proposed scheme in the aspects of global uniform asymptotic stability, satisfactory estimation and effective tracking control are shown through strong detailed proofs and various simulation results.
Enhancing the Performance of Indoor Device-Free Passive Localization

Device-free passive localization (DFPL) has been an emerging application with fast increasing development. Channel State Information- (CSI-) based DFPL is recently paid more attention to for fine-granularity and stability of CSI. However, lots of dead spots exist in the area of interest. And the accuracy of localization is not still completely satisfactory, especially for outside of the first Fresnel zone. In our paper, we put forward a new metric to estimate the sensitivity of a receiver to changes in the detecting area. In our experiment, we observe that the performance of DFPL can be raised when the receiver is placed at the location with high receiver sensitivity. Hence, we develop a new high-performance indoor device-free passive localization (HiDFPL), which employs a Bayesian a posteriori approach and possesses high receiver sensitivity. The experiment results demonstrate the outstanding performance of the proposed scheme.
High-Throughput Separation Assay for NO Metabolites in Blood using Microfluidic Electrophoresis

Health Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) 2217-14 Hayashi, Takamatsu, Kagawa 761-0395 1-8-31 Midorigaoka, Ikeda, Osaka 563-8577 Department of Industrial Chemistry, Kinki Polytechnic College, 1778 Inaba, Kishiwada, Osaka 596-0103 Faculty of Engineering, Osaka Institute of Technology, 5-16-1 Omiya, Asahi, Osaka, Osaka 535-8585, Japan Department of Cardiac physiology, National Cerebral and Cardiovascular Center 5-7-1 Fujishiro-dai, Suita, Osaka 565-8565, Japan
Sami Keronen APPROACHING HUMAN PERFORMANCE IN NOISE ROBUST AUTOMATIC SPEECH RECOGNITION Thesis for the degree of Licentiate of Science in Technology

Modern automatic speech recognition systems are able to achieve human-like performance on read speech in relatively noise-free environments. However, in the presence of heavily deteriorating noise, the gap between human and machine recognition remains large. The work presented in the thesis is aimed to enhance the speech recognition performance in varying noise and low signal-to-noise ratio conditions by improving the short-time spectral analysis of the speech signal and the spectrographic mask estimation in the missing data framework. In the thesis, the fast Fourier transformation based spectrum estimation of Mel-frequency cepstral coefficients is substituted with extended weighted linear prediction. Temporal weighting in linear predictive analysis emphasizes the high amplitude samples that are assumed less corrupted by noise and attenuates the others. Extending the weighting to separately apply to each lag in the prediction of each sample arguably offers more modeling power for deteriorated speech. The extended weighted linear prediction is shown to exceed the recognition performance of conventional linear prediction, weighted linear prediction and fast Fourier transformation based feature extraction. Missing data methods assume that only part of the spectro-temporal components of the deteriorated signal are corrupted by noise while the speech-dominant components hold the reliable information that can be used in recognition. Two spectrographic mask estimation techniques based on binary classification of features are proposed in the thesis. The first method is founded on a comprehensive set of design features and the second on the Gaussian-Bernoulli restricted Boltzmann machine that learns the feature set automatically. Both mask estimation methods are shown to outperform their respective reference mask estimation methods in recognition accuracy. All the proposed noise robust techniques are immediately applicable to automatic speech recognition. With further refinement, the mask estimation methods could also be applied to hearing aids since they are able to attenuate the background noise thus increasing the speech intelligibility. Date: 27.1. 2014 Language: English Number of pages: 124
The Validation of the Envisat Chemistry Instruments by Use of Stratospheric Balloons and Aircraft

RESUME This paper serves as an introduction on the use of Stratospheric Balloons and Aircraft for the Validation of the ENVISAT instruments MIPAS, GOMOS and Sciamachy. Several campaigns have been organised in 2002, during the Commissioning of the satellite, from Northern latitudes to mid-latitudes to validate the level 1b and mainly level 2 data products. The activities performed in these campaigns are presented. This validation will be achieved by using several sensors carried by aircraft and stratospheric balloons. They will provide reference correlative measurements for comparison with Envisat products. The paper concludes by a presentation of the activities planned in 2003 in the frame of the existing flight programme.
Effects of assisted reproductive technology and of women’s quality of life on depressive symptoms in the early postpartum period: a prospective case-control study

Abstract This study explored the influence of both assisted reproductive technology (ART) and reduced quality of life (QoL) during pregnancy on postpartum blues (PPB). Sixty-three sub-fertile patients who conceived through ART and 72 women who naturally conceived were enrolled in this prospective study. At 22nd and 32nd gestational weeks, women completed the Edinburgh Postnatal Depression Scale (EPDS) and the Short-Form 36 (SF-36), to investigate depressive symptoms and QoL, respectively; EPDS was again used at 15 days after birth to assess PPB. At both time points, higher EPDS scores and lower mental well-being scores (SF-36) significantly predicted PPB. The number of previous ART cycles emerged as the strongest predictor, whereas no significant effect was observed for the conceiving method. The results suggest the usefulness of assessing QoL during pregnancy and considering previous ART failures in preventing PPB.
GP-delivered secondary prevention cardiovascular disease programme; early predictors of likelihood of patient non-adherence

Abstract Introduction: The aim of this study was to determine how routinely recorded data could predict early the likelihood of patient non-adherence to a primary care-delivered secondary prevention programme for established coronary heart disease (CHD), with patients with CHD (10 851) invited to attend four times per year. Method: Non-adherence was defined as attending no more than three GP visits ever. The study sample was selected to allow a possible two-year recorded follow-up period in which patients could take up invitations. Administrative recordings of visit dates and intervals between visits, baseline results of key parameters and early changes were examined using logistic regression to determine independent predictors of non-adherence. Result: Longer interval between early visits, no family history of CHD, smoking and being outside target for exercise at baseline were independently associated with non-adherence. Conclusion: Early identification by GPs of those who fail to attend on time or who defer appointments, in addition to persistence of lifestyle factors unchanged by a prior serious cardiac event should serve as a warning sign that targeted interventions to maintain adherence in primary care-delivered secondary prevention programmes are necessary.
Selecting the Best Supplier by Considering Supply Chain Management Strategy and Utilizing Uncertainty Parameters.

Today, the intensity of competition in market has forced companies to consider supply chain management strategy (SCMS) deployment and its modern methods in order to achieve competitive advantages. Supplier selection, among critical supply chain processes, plays a leading role in determination of quality and prime cost of final products. In this paper fuzzy analytic network process is proposed to select the best supplier in SCMS, because of its capability of taking into account the relationships of feedback and dependences among criteria, along with eliminating the interactivity of expert subjective judgment using linguistic terms to handle the uncertain nature of parameters.
Handling imbalanced data in churn prediction using ADASYN and backpropagation algorithm

Customers are important assets for an industry, including telecommunication industry. Customer churn will result in lost revenue. For that reason, a classification model that can predict the customer churn is needed. One of the obstacles to develop the classification model is the great difference between number of churn and non-churn customers. The non-churn data dominates the entire customer data. This will make the churn data unfamiliar to the system. ADASYN (Adaptive Synthetic Sampling) is one of the oversampling methods that can be used to solve the class imbalanced problem. ADASYN is algorithm improvement from SMOTE (Synthetic Minority Over-sampling) algorithm [1]. Meanwhile, in this research the backpropagation algorithm is chosen as classification model. The result of the study with proposed scheme shows the testing accuracy 96,31% and testing F1-Score 0.4607.
Respiratory failure and unilateral caudal brainstem infarction

We report clinicotopographic correlations in 2 patients with central hypoventilation and unilateral infarct in the caudal brainstem. One patient had nearly complete loss of ventilation involving both automatic and voluntary components. He showed no ventilator response during a CO2 retention test (Paco2 62 mm Hg, Pao2 82 mm Hg), while consciousness was preserved until death. The infarct involved the reticular formation, nucleus tractus solitarius, nucleus ambiguus, and nucleus retroambiguus on the right but spared the dorsal motor nucleus of the tenth cranial nerve, and sensory and corticospinal tracts. The second patient showed hypoventilation more selectively involving automatic responses (Ondine's curse). The infarct involved the medullary reticular formation and nucleus ambiguus but spared the nucleus tractus solitarius. We suggest that unilateral involvement of pontomedullary reticular formation and nucleus ambiguus is sufficient for generating loss of automatic respiration, while associated lesion of the nucleus tractus solitarius may lead to more severe respiratory failure involving both automatic and voluntary responses.
Microtubule destabilization and nuclear entry are sequential steps leading to toxicity in Huntington's disease

There has been a longstanding debate regarding the role of proteolysis in Huntington's disease. The toxic peptide theory posits that N-terminal cleavage fragments of mutant Huntington's disease protein [mutant huntingtin (mhtt)] enter the nucleus to cause transcriptional dysfunction. However, recent data suggest a second model in which proteolysis of full-length mhtt is inhibited. Importantly, the two competing theories differ with respect to subcellular distribution of mhtt at initiation of toxicity: nuclear if cleaved and cytoplasmic in the absence of cleavage. Using quantitative single-cell analysis and time-lapse imaging, we show here that transcriptional dysfunction is “downstream” of cytoplasmic dysfunction. Primary and reversible toxic events involve destabilization of microtubules mediated by full-length mhtt before cleavage. Restoration of microtubule structure by taxol inhibits nuclear entry and increases cell survival.