Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental investigation of the 3D vibrational behaviour of an induction machine

An experimental investigation regarding the structural behaviour of an operating induction machine has been carried out, focusing on an examination of the vibrational behaviour that results in noise radiation. Acceleration measurements have been performed, first on the stator core stack in azimuthal as well as axial direction, and then on the housing. Besides steady measurements for different supply frequencies also unsteady measurements have been recorded. The occurring oscillation modes of the stator have been evaluated and compared to the vibration of the housing.
Complex scattering within D″ observed on the very dense Los Angeles Region Seismic Experiment Passive Array

Several seismic phases that scattered within a few hundred kilometers of the base of the mantle are observed in a very dense seismic section. The Los Angeles Region Seismic Experiment passive phase array was composed of 88 seismometers placed along a 175 km profile. Records from two deep earthquakes in Tonga and one earthquake near Honshu, Japan show a secondary arrival between clear P and PcP arrivals. Modeling with layered structures shows that the Tonga and Honshu seismic sections are consistent with an increase in seismic velocity 140 and 240 km above the core‐mantle boundary, respectively, and a ≃10‐km thick low‐velocity zone at the base of the mantle beneath a region in the mid Pacific. Several of these arrivals are not coherent enough to appear in higher resolution stacks from the much larger Southern California Seismic Network. This experiment illustrates that fine‐scale passive array data can reveal small‐scale deep Earth structure invisible to larger‐scale seismic networks.
High-Content Imaging-Based Screening of Microenvironment-Induced Changes to Stem Cells

Effective screening methodologies for cells are challenged by the divergent and heterogeneous nature of phenotypes inherent to stem cell cultures, particularly on engineered biomaterial surfaces. In this study, we showcase a high-content, confocal imaging-based methodology to parse single-cell phenotypes by quantifying organizational signatures of specific subcellular reporter proteins and applied this profiling approach to three human stem cell types (embryonic–human embryonic stem cell [hESC], induced pluripotent–induced pluripotent stem cell [iPSC], and mesenchymal–human mesenchymal stem cell [hMSC]). We demonstrate that this method could distinguish self-renewing subpopulations of hESCs and iPSCs from heterogeneous populations. This technique can also provide insights into how incremental changes in biomaterial properties, both physiochemical and mechanical, influence stem cell fates by parsing the organization of stem cell proteins. For example, hMSCs cultured on polymeric films with varying degrees of poly(ethylene glycol) to modulate osteogenic differentiation were parsed using high-content organization of the cytoskeletal protein F-actin. In addition, hMSCs cultured on a self-assembled monolayer platform featuring compositional gradients were screened and descriptors obtained to correlate substrate variations with adipogenic lineage commitment. Taken together, high-content imaging of structurally sensitive proteins can be used as a tool to identify stem cell phenotypes at the single-cell level across a diverse range of culture conditions and microenvironments.
Low-latency high-efficiency mobile fronthaul with TDM-PON (mobile-PON)

To meet the capacity requirements of the exponential increase in mobile traffic and to continue to drive down the per-bit cost for mobile service providers, the cloud radio access network (C-RAN) has become a crucial step toward 5G. However, the current C-RAN architecture has some major drawbacks in terms of scalability, cost, and efficiency. In this paper, we propose and numerically demonstrate a novel mobile fronthaul architecture based on functional split and time-division multiplexed (TDM) passive optical networks (PONs) with a unified mobile and PON scheduler known as Mobile-PON. The optimal functional split distributes lower physical layer hardware toward remote radio sites. The new interface that divides the remote radio processing, and centralized baseband processing requires less bandwidth, also opens the possibility of sharing and multiplexing the bandwidth with multiple remote sites. Our combined mobile and PON scheduler is mainly based on the more complex wireless scheduling that translates its results into the TDM-PON system through LTE resource block mapping, eliminating additional scheduling delay at the PON. Without the additional scheduling delay, the cost-effective TDM-PON becomes applicable for mobile fronthaul, while the optimal fronthaul interface increases bandwidth efficiency by ∼10× over CPRI.
ECG analysis tool for heart failure management and cardiovascular risk assessment

This work presents the algorithms developed for the electrocardiogram (ECG) analysis, able to characterize the major parameters and events with clinical relevance for heart failure management and cardiovascular risk assessment. In particular, it includes algorithms for ECG pre-processing, ECG delineation, atrial fibrillation and ventricular arrhythmias detection, ST segment deviation and heart rate variability analysis. This Matlab tool was originally developed in the HeartCycle FP7 European project and updated during the current CardioRisk project. The final goal of FP7 HeartCycle project was the management of heart failure patients based on a regular home monitoring of vital signals and other patient’s parameters using wearable sensors. By means of this strategy it is possible to continuously assess patient’s status, arrhythmic events and symptoms progression, thus enabling physicians to take the appropriate interventions, whenever abnormal situations are detected or foreseen. The cardioRisk project addresses the coronary artery disease, and the development of personalized algorithms for cardiovascular risk assessment, in particular using information obtained from heart rate variability analysis.
Relationship between familiarity and humanness of robots – quantification of psychological impressions toward humanoid robots

We investigate the relationships between familiarity and humanness of humanoids from psychological perspective of view. Two thousand six hundred and twenty-four people from their 10s to 70s in Japan evaluated familiarity and humanness of different 11 humanoids based on the psychological scales which are developed for evaluation of humanoids. Results showed that robot-like robots which have round shapes are evaluated higher in familiarity and lower in humanness than robot-like robots which have mechanic appearance. Androids which have totally human-like appearances are evaluated higher in humanness and familiarity than robots which are partly human-like, while one android was rated high in humanness but low in familiarity. Relatedly, repulsion which reflects a value toward the existence of humanoids bears a proportionate relationship to humanness. Higher humanness with humanoids related to higher repulsion. In sum, the relationship between familiarity and humanness is curvilinear, while repulsion and humanness shows a linear relationship. We discussed the importance of appearance of robots and interaction with robots to introduce robots toward ordinary people. Graphical Abstract
Capabilities required to apply lunar regolith excavators terrestrially

Advances in the mining industry could be spurred on by work in space mining technologies. This paper discusses one such synergy. The chosen space mining technology is the robotic lunar regolith excavators produced by the NASA Lunabotics Competition. Recent work explored potential terrestrial applications of such a technology, and recognized that applications requiring high flexibility and low throughput to be its niche. This paper furthers the work by looking at capabilities the technology needs to be feasible in the terrestrial mining industry. A panel of industry experts (mining and / or robotics) was consulted in two rounds of electronic questionnaires. The resulting technical capabilities categories were power, maneuverability, operability, maintenance, robustness, and integration with a system. There were no consensus on the relative importance of the capabilities, and it is suggested that they are all developed until the applications are refined.
Determinants of Bahraini managers' acceptance of business process reengineering

Purpose – This paper aims to examine the possible underlying factors that influence managers' intentions towards adopting business process reengineering (BPR) in a less‐developed country (LDC) context, namely Bahrain.Design/methodology/approach – The study used a survey method to elicit opinions from 104 managers from 14 different big Bahraini businesses.Findings – The results showed that the existence of some organizational capabilities such as “effective project management experiences” and “the ability to build an organizational‐wide need for change” are important requisites to gain positive salient beliefs toward accepting BPR. Moreover, it showed that “managers' cognitive style” and “level of education” had significant influences on their “intentions to adopt BPR approach. ” The findings also suggest that other external factors such as “competitive pressures” and “managers' beliefs about BPR” are significant antecedents to BPR perceived ease of use.Research limitations/implications – Conclusions are dr.
Exportin‐5‐mediated nuclear export of eukaryotic elongation factor 1A and tRNA

Transport of proteins and RNA into and out of the cell nucleus is mediated largely by a family of RanGTP‐binding transport receptors. Export receptors (exportins) need to bind RanGTP for efficient loading of their export cargo. We have identified eukaryotic elongation factor 1A (eEF1A) and tRNA as RanGTP‐dependent binding partners of exportin‐5 (Exp5). Exp5 stimulates nuclear export of eEF1A when microinjected into the nucleus of Xenopus laevis oocytes. Surprisingly, the interaction between eEF1A and Exp5 is dependent on tRNA that can interact directly with Exp5 and, if aminoacylated, recruits eEF1A into the export complex. These data suggested to us that Exp5 might support tRNA export. Indeed, not only the canonical tRNA export receptor, exportin‐t, but also Exp5 can drive nuclear export of tRNA. Taken together, we show that there exists an alternative tRNA export pathway which can be exploited to keep eEF1A out of the cell nucleus.
Finite element modeling of the thoracic aorta: including aortic root motion to evaluate the risk of aortic dissection

Objective: We propose that the aortic root motion plays an important role in aortic dissection. Methods and results: A finite element model of the aortic root, arch and branches of the arch was built to assess the influence of aortic root displacement and pressure on the aortic wall stress. The largest stress increase due to aortic root displacement was found at approximately 2 cm above the top of the aortic valve. There, the longitudinal stress increased by 50% to 0.32 MPa when 8.9 mm axial displacement was applied in addition to 120 mmHg luminal pressure. A similar result was observed when the pressure load was increased to 180 mmHg without axial displacement. Conclusions: Both aortic root displacement and hypertension significantly increase the longitudinal stress in the ascending aorta, which could play a decisive role in the development of various aortic pathologies, including aortic dissection.
Option Pricing with Aggregation of Physical Models and Nonparametric Statistical Learning

Financial models are largely used in option pricing. These physical models capture several salient features of asset price dynamics. The pricing performance can be significantly enhanced when they are combined with nonparametric learning approaches, that empirically learn and correct pricing errors through estimating state price distributions. In this paper, we propose a new semiparametric method for estimating state price distributions and pricing financial derivatives. This method is based on a physical model guided nonparametric approach to estimate the state price distribution of a normalized state variable, called the Automatic Correction of Errors (ACE) in pricing formulae. Our method is easy to implement and can be combined with any model based pricing formula to correct the systematic biases of pricing errors and enhance the predictive power. Empirical studies based on S&P 500 index options show that our method outperforms several competing pricing models in terms of predictive and hedging abilities.
College Students' Perceptions toward the Multi Modal Representations and Instruction of Representations in Learning Modern Physics.

Problem Statement: In recent years, researchers on learning have focused on learning with multimodal representation and this research has shown that when learners can interact with an appropriate representation their performance is enhanced. If students have the opportunity to interact consciously with modal representation, learning can be extended, comprehensively and deeply. This study studies the question of what would be the appropriate instructional design to scaffold such an enhancement and what would be the distribution of modes that would be found to be valuable, from students’ perspective, in instruction and writing-to-learn activities, with specific regard to science education topics. Purpose of Study: The purpose of this study was two folded; firstly, to find out the effect of instructional activities on students’ understanding of modal representations and, secondly, to explore the multimodal representations that college students find effective and use in studying some of the modern physics units Methods: This study was carried out with 80 sophomore college students in Turkey within two identical sections of introductory modern physics for an education majors course in the 2007-2008 spring semester. Three assignments were designed and implemented to explore effective practices that can help students to enhance their understanding of modal representations. At the end of the instructional stage, through survey and semi
Exercise training is associated with improved levels of C-reactive protein and adiponectin in ZDF (type 2) diabetic rats.

BACKGROUND Chronic low-grade systemic inflammation is a feature of such chronic diseases as cardiovascular disease and type 2 diabetes (T2D). There is evidence that regular exercise is effective as a treatment in these situations. This study intended to assess the levels of two inflammatory mediators, C-reactive protein (CRP) and adiponectin, in Zucker Diabetic Fatty (ZDF, fa/fa) rats, an experimental model of T2D, and to determine whether exercise-induced changes in insulin resistance could be explained by modifications in these inflammation markers. MATERIAL/METHODS Male ZDF (Gmi fa/fa) rats and their littermates (Gmi +/+), aged 8 weeks, were randomly assigned in two groups: an exercise trained and a sedentary one. Swimming was conducted 1 h/day 3 days/week for 12 weeks. The rats were sacrificed 48 h after the last round of exercise. Rats had their body weight, insulin, adiponectin, CRP, as well as glucose, total cholesterol, triglycerides, MDA, and SOD measured and HOMA-IR calculated before and after the 12-week swimming training. RESULTS In the ZDF (fa/fa) rats underwent swimming exercise, all the metabolic abnormalities were totally or partially prevented (p<0.001), namely the hyperglycemic, hyperinsulinemic, and dyslipidemic pattern observed in their sedentary counterparts. Furthermore, even without body weight change, a plasma adiponectin increase (28.0%) and a CRP decrease (12.7%) were also observed. CONCLUSIONS A 12-week thrice-weekly swimming training was associated with improved measures of chronic inflammation markers as measured by adiponectin and CRP. Moreover, improvements in insulin sensitivity resulting from swimming exercise appeared to be related to changes in these inflammatory mediators.
A power distribution scheme for correlated MIMO radar transmitters

MIMO (multiple-input multiple-output) radar systems with distributed transmitters and receivers have potential to significantly improve the performance of radar systems. MIMO systems benefit by utilizing the notion of spatial diversity as the receivers have the ability to observe incoming echos originating off various aspect angles. This capability is however dependent upon the fact that the antennas are not correlated with each others which can diminish the diversity gain. This article attempts to improve correlated MIMO system performance by proposing a power distribution algorithm which weights the antennas taking account of any correlation present at the emitters. Antennas who show strong correlations transmit pulses with less power so that the total available energy is spread across diversity branches more befittingly. Simulations are used to validate the results.
19F magnetic resonance imaging for stem/progenitor cell tracking with multiple unique perfluorocarbon nanobeacons

MRI has been employed to elucidate the migratory behavior of stem/progenitor cells noninva‐sively in vivo with traditional proton (1H) imaging of iron oxide nanoparticle‐labeled cells. Alternatively, we demonstrate that fluorine (19F) MRI of cells labeled with different types of liquid perfluorocarbon (PFC) nanoparticles produces unique and sensitive cell markers distinct from any tissue background signal. To define the utility for cell tracking, mononuclear cells harvested from human umbilical cord blood were grown under proendothelial conditions and labeled with nanoparticles composed of two distinct PFC cores (perfluorooctylbromide and perfluoro‐15‐crown‐5 ether). The sensitivity for detecting and imaging labeled cells was defined on 11.7T (research) and 1.5T (clinical) scanners. Stem/progenitor cells (CD34+CD133+CD31+) readily internalized PFC nanoparticles without aid of adjunctive labeling techniques, and cells remained functional in vivo. PFC‐labeled cells exhibited distinct 19F signals and were readily detected after both local and intravenous injection. PFC nanoparticles provide an unequivocal and unique signature for stem/progenitor cells, enable spatial cell localization with 19F MRI, and permit quantification and detection of multiple fluorine signatures via 19F MR spectroscopy. This method should facilitate longitudinal investigation of cellular events in vivo for multiple cell types simultaneously. —Partlow, K. C. , Chen, J., Brant, J. A. , Neubauer, A. M. , Meyerrose, T. E. , Creer, M. H. , Nolta, J. A. , Caruthers, S. D. , Lanza, G. M. , Wickline, S. A. 19F magnetic resonance imaging for stem/progenitor cell tracking with multiple unique perfluorocarbon nanobeacons. FASEB J. 21, 1647–1654 (2007)
The effect of sensory level electrical stimulation of the masseter muscle in early stroke patients with dysphagia: A randomized controlled study

Background: Dysphagia is a serious cause of morbidity and mortality in stroke patients. Aims: As the first study in literature, we aimed to evaluate the effects of sensory-level electrical stimulation (SES) to bilateral masseter muscles in early stroke patients with dysphagia. Settings and Design: This study was conducted at the Physical Medicine and Rehabilitation Clinic of our hospital between 2013 and 2015. Materials and Methods: Ninety-eight patients with dysphagia within the first month after ischemic stroke were included in this study. Patients were evaluated by bedside screening tests (Bedside Dysphagia Score, Neurological Examination Dysphagia Score, Total Dysphagia Score, and Mann Assessment of Swallowing Ability test) and by flexible fibreoptic endoscopic evaluation of swallowing (FEES) methods. All patients were included in a traditional swallowing therapy. Patients were divided into two groups, namely the “stimulation group” and “sham group. ” SES was applied to bilateral masseter muscles. Evaluation parameters were compared between the groups before and after therapy. Statistical Analysis: The Friedman test, Wilcoxon Signed Rank test, Mann–Whitney U test, and Fisher exact test were used in this study. Results: There was a significant improvement in dysphagia severity scores evaluated by bedside screening tests and FEES in cognitive and total functionality levels except in motor functional independence level in the stimulation group. In the sham group, there were no significant changes in the evaluation parameters. Conclusion: SES applied to bilateral masseter muscles may provide an effective treatment for both dysphagia and cognitive function in early stroke patients.
Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention

Nowadays, anybody can easily express their opinion publicly through Consumer Generated Media. Because of this, a phenomenon of flooding criticism on the Internet, called flaming, frequently occurs. Although there are strong demands for flaming management, namely, a service to reduce damage caused by a flaming after one occurs, it is very difficult to properly do so in practice. We are trying to keep the flaming from happening. Concretely, we propose methods to identify a potential tweet which will be a likely candidate of a flaming on Twitter, considering public opinion among twitter users. We divide flamings into three categories: criminal episodes, struggles between conflicting values and secret exposures. The first two represent the vast majority of flaming cases. As for the CEs, a Naive Bayes-based method has been promising to identify the cases. As for the SBCVs, we propose a dynamic P/N analysis based on daily polarity, which represents the strength of the polarity of public opinion on a given topic. An experiment using a past flaming case has shown that the method has successfully explained the case as one caused by a gap between the polarity of the tweet and that of public opinion.
Dimming Control Scheme With High Power and Spectrum Efficiency for Visible Light Communications

In this paper, in order to accommodate dimming demands for illumination, which is an essential requirement for visible light communication (VLC), a dimming control scheme with high power and spectrum efficiency is proposed. In the proposed method, a negative hybrid asymmetrically clipped optical orthogonal frequency division multiplexing (NHACO-OFDM) is first investigated and then combined with HACO-OFDM signal for multiplexed transmission. By adjusting the proportion of these two signals, the novel dimming control scheme can be achieved. Simulation results conducted that the proposed scheme can support optical wireless communication with higher power and spectrum efficiency and carry out the dimming control with broad dimming range for illumination, compared with conventional counterparts under various illumination conditions.
Semi Random Pairwise key Pre-distribution Scheme for Wireless Sensor Networks

To achieve security in wireless sensor networks, it is important to be able to encrypt and authenticate messages sent among sensor nodes. Keys for encryption and authentication purposes must be agreed upon by communicating nodes. Key establishment in sensor networks is a challenging problem because asymmetric key cryptosystems are unsuitable for use in resource constrained sensor nodes, and also because the nodes could be physically compromised by an adversary. We present three new mechanisms for key establishment using the framework of predistributing a random set of keys to each node. First, in the q-composite keys scheme, we trade off the un-likeliness of a large-scale network attack in order to significantly strengthen random key predistribution’s strength against smaller-scale attacks. Second, in the multipathreinforcement scheme, we show how to strengthen the security between any two nodes by leveraging the security of other links. Finally, we present the randompairwise keys scheme, which perfectly preserves the secrecy of the rest of the network when any node is captured, and also enables node-to-node authentication and quorum-based revocation.