Miracle-dz/UniFAR-FTUs huggingface dataset:
An economical method for induction motor field efficiency estimation for use in on-site energy audit and management

This paper proposes an economical method that can help the plants to make right decision in replacing the inefficient induction motors with more efficient ones. This method focuses on the field efficiency of motors without the needs for removing motors and measuring the output power. The use of a few sets of measured data from field test coupled with the genetic algorithms for evaluating motor equivalent circuit instead of using the no-load and blocked-rotor tests is proposed. To illustrate how well the estimated efficiency matches that of calculated obtained from the standard evaluations, the results of various induction motors rating up to 100 hp are presented. Test results indicate that this method has a high accuracy, then it is suitable for conducting on-site energy audits of motors in order to project cost savings and payback and to support a confidence decision regarding the investment in higher efficiency motors.
A quality of experience-aware association algorithm for 5G heterogeneous networks

The rise of Over The Top (OTT) content providers and the introduction of numerous applications has been driving the growth of mobile data traffic in the past few years. The applications' various Quality of Service (QoS) requirements as well as the use of multiple devices per user have increased the traffic heterogeneity, pressing the telecommunications industry to the deployment of 5G networks in 2020. At the same time, the rise of OTT providers has also led to the decrease of the Mobile Network Operators' (MNOs) revenues. Under these circumstances, the MNOs need to guarantee the users' Quality of Experience (QoE) requirements, while ensuring the sustainability of a 5G investment. To this end, we consider a 5G Heterogeneous Network (HetNet) deployment where MNOs use a QoE-based charging scheme. We propose a heuristic, QoE-aware user association algorithm to maximize the MNO profit, while providing high QoE. Simulation results show that the proposed algorithm can handle traffic heterogeneity by achieving substantial profit and QoE gains, compared to a baseline SINR-based scheme.
Decreased shortening velocity and altered myosin isoforms in guinea‐pig hypertrophic intestinal smooth muscle

The aims of this study were to investigate whether hypertrophy of the small intestinal smooth muscle leads to alterations of myosin isoform composition and shortening velocity and whether possible changes correlate with a change in the sensitivity to ADP of shortening velocity in this tissue. A partial occlusion was introduced in the distal part of the ileum of guinea‐pigs. After 2 weeks, the part of the small intestine just proximal of the stenosis was hypertrophied (indicated by a significantly increased cross‐sectional area). The most proximal part of the small intestine was used as control, thus enabling comparisons between hypertrophic and normal tissue from the same animal. The outer longitudinal layer of the intestinal wall was gently peeled off and used for biochemistry, RT‐PCR and mechanical experiments. The desmin/actin ratio was significantly increased following hypertrophy, although myosin and actin expression were similar in control and hypertrophic tissue. In hypertrophic tissue, the myosin heavy chain mRNA with a 21 base pair insert decreased significantly. The composition of the mRNA encoding the myosin essential light chains changed towards more of the basic type (LC17b). No change in the expression of non‐muscle myosin heavy chains A and B was detected. The maximal shortening velocity (Vmax) of maximally activated skinned preparations was significantly lower in the hypertrophic tissue (≈50 % of control). The sensitivity of Vmax to ADP was increased in the hypertrophic smooth muscle tissue. We conclude that myosin expression is altered following intestinal hypertrophy and that these alterations affect reactions in the cross‐bridge interaction, leading to a slower and more economical contractile function.
A handset adaptive array antenna for the reduction of multipath co-channel interference in a realistic talking situation

This paper studies the performance of adaptive array antennas in digital handset systems using the minimum mean square error (MMSE) algorithm at 2 GHz. Particular emphasis is placed on how well the handset adaptive array antenna works under practical conditions, involving multi-path radio wave propagation and the influence of the body of the user. A computer simulation was carried out in a flat Rayleigh fading environment with multiple co-channel interference signals, in which the average bit-error-rate (BER) of a handset adaptive array antenna was studied for the coherent detection of phase-shift keyed signals
LGTH: A lightweight group authentication protocol for machine-type communication in LTE networks

Supporting a massive number of machine-type communication (MTC) devices has been considered as an essential requirement in machine to machine (M2M) communications. Meanwhile, cyber security is of paramount importance in MTC; if MTC devices cannot securely access the networks through efficient authentication, all applications involving MTC cannot be widely accepted. One of research challenges in MTC is group authentication. A large number of MTC devices accessing the network simultaneously will cause a severe authentication signaling congestion. To solve this problem and reduce authentication overhead of the previous schemes based on public key cryptosystems, we propose a novel lightweight group authentication protocol for MTC in the long term evolution (LTE) networks based on aggregate message authentication codes (MACs), called LGTH, which can not only authenticate all MTC devices simultaneously, but also minimize the authentication overhead. Through security analysis, we conclude that the proposed LGTH can provide robust security, and avoid the authentication signaling congestion in the LTE networks. In addition, performance evaluations in terms of communication and computation overhead demonstrate that LGTH is more efficient than previous schemes.
Multilayered Class Discrimination in Large-Scale Taxonomies

In this work we implement and evaluate a methodology to classify multi-labeled web documents into large-scale taxonomies, using their text content. Multi-label hierarchical classification using large-scale taxonomies is a hard task due to problems of scarcity of training data in many nodes of the hierarchy, overlapping of content and complex decision surfaces. We propose a novel feature extraction model called Multilayered Class Discrimination (MCD), which reduces the dimensions of the text-content features of the web documents along the different levels of the hierarchy, helping to discriminate each class from other classes in the same level and reducing the effects of the mentioned problems. The results of categorizing web documents from the DMOZ directory show that our model improves the accuracy of the categorization when compared with the use of word features, and that the results are competitive with the ones presented in the Second LSHTC Challenge.
Soft switching PWM inverter for induction heating applied to heating of ferromagnetic metal

In this paper, a soft switching PWM(pulse width modulation) inverter for heating up to high temperature ferromagnetic metals is proposed as a power supply to apply to the diesel emission control system. And an optimal circuit design and an operating method about this inverter to solve several problems caused by heating up to high temperature it are described in detail. The validity of the proposed method is verified through both the simulated results and the experimental results.
Fast multiprocessor realizations of digital filters

This paper presents a method for finding efficient multiprocessor realizations of digital filters. It provides a framework for studying the tradeoffs between the sampling rate and the number of arithmetic units or processors. A simple method for determining the minimal sampling period as a function of addition and multiplication times is introduced. Also the effect of delays in data transfers on the sampling period can be analyzed for different hard-ware configurations. Some examples are presented to show the use of the method in obtaining efficient multiprocessor realizations.
TUMOR LYSIS SYNDROME IN CHILDREN WITH NON-HODGKIN LYMPHOMA

This study was designed to evaluate the incidence of tumor lysis syndrome (TLS) among children with non-Hodgkin lymphoma and to define whether renal involvement can be associated with higher incidence of TLS after chemotherapy. Medical charts of 59 patients were reviewed. TLS was diagnosed using laboratory and clinical criteria. Renal involvement was diagnosed based on ultrasound and CT scan findings. Laboratory TLS occurred in 7 patients (11.85%) and clinical TLS was observed in 7 patients (11.85%) as well. In 5 out of 14 TLS patients, hemodialysis was required to correct electrolyte abnormalities and TLS related death was reported overall in 3 patients. Sex, age, pretreatment LDH, and initial WBC count were not associated with higher incidence of TLS after chemotherapy, but a significant correlation was found between pretreatment renal involvement at imaging studies and development of TLS after chemotherapy (p =. 027). The results indicate that despite all preventive measures, tumor lysis syndrome still occurs in children with non-Hodgkin lymphoma following chemotherapy. Patients who have evidence of renal involvement at imaging studies are more likely to develop TLS after chemotherapy.
Short-Wavelength Near-Infrared Spectra of Sucrose, Glucose, and Fructose with Respect to Sugar Concentration and Temperature

Short-wavelength near-infrared (SW-NIR) (700–1100 nm) spectra of aqueous solutions of sucrose, d-glucose, and d-fructose were monitored with respect to change in temperature and sugar concentration. Sugar OH and CH related vibrations were identified by analysis of the spectra of sugar solutions in deuterium oxide (D2O), and of sucrose-d8 solutions in D2O. Absorption spectra were explained in terms of the second and third overtones of OH stretching vibrations and the third overtone of CH2 and CH stretchings. In deuterated solutions, CH and CH2 higher overtone vibration bands became apparent. The major spectral effect of decreased temperature or increased sugar concentration was a decrease in absorbance at 960 nm and an increase in absorbance at 984 nm, interpreted as an increase in the degree of H bonding. Partial least-squares (PLS) calibrations on sugar concentrations (with spectra collected at several sample temperatures) relied strongly on the 910 nm sugar CH related bands, whereas calibrations on temperature depended equally on all OH associated vibrations (750, 840, 960, and 985 nm).
Understanding Extremes and Clustering in Chaotic Maps and Financial Returns Data

In this thesis we present a numerical and analytical study of modelling extremes in chaotic dynamical systems. We study a range of examples with different dependency structures, and different clustering characteristics. We compare our analysis to the extreme statistics observed for financial returns data, and hence consider the modelling potential of using chaotic systems for understanding financial returns. As part of the study we use the block maxima approach and the peak over threshold method to compute the distribution parameters that arise in the corresponding extreme value distributions. We compare these computations to the theoretical answers, and moreover we obtain error bounds on the rate of convergence of these schemes. In particular we investigate the optimal block size when applying the block maxima method. Since the time series of observations on a dynamical system have dependency we must therefore go beyond the classic approach of studying extremes for independent identically distributed random variables. This is the main purpose of our study. As part of this thesis, we also study clustering in financial returns, and again investigate the potential of using dynamical systems models. Moreover we can also compare numerical quantification of clustering with theoretical approaches. As further work, we measure the dependency structures in our models using a rescaled range analysis. We also make preliminary investigations into record statistics for dynamical systems models, and relate our findings to record statistics in financial data, and to other models (such as random walk models).
Fibroblast Growth Factor‐2 Overexpression in Transplanted Neural Progenitors Promotes Perivascular Cluster Formation with a Neurogenic Potential

Stem/progenitor cell‐based therapies hold promises for repairing the damaged nervous system. However, the efficiency of these approaches for neuronal replacement remains very limited. A major challenge is to develop pretransplant cell manipulations that may promote the survival, engraftment, and differentiation of transplanted cells. Here, we investigated whether overexpression of fibroblast growth factor‐2 (FGF‐2) in grafted neural progenitors could improve their integration in the host tissue. We show that FGF‐2‐transduced progenitors grafted in the early postnatal rat cortex have the distinct tendency to associate with the vasculature and establish multiple proliferative clusters in the perivascular environment. The contact with vessels appears to be critical for maintaining progenitor cells in an undifferentiated and proliferative phenotype in the intact cortex. Strikingly, perivascular clusters of FGF‐2 expressing cells seem to supply immature neurons in an ischemic environment. Our data provide evidence that engineering neural progenitors to overexpress FGF‐2 may be a suitable strategy to improve the integration of grafted neural progenitor cells with the host vasculature thereby generating neurovascular clusters with a neurogenic potential for brain repair. STEM CELLS 2009;27:1309–1317
‘All things considered’: transcriptional regulation of T helper type 2 cell differentiation from precursor to effector activation

T helper type 2 (Th2) cells are critical to host defence against helminth infection and the pathogenesis of allergic diseases. The differentiation of Th2 cells from naive CD4 T cells is controlled by intricate transcriptional mechanisms. At the precursor stage of naive CD4 T cells, transcriptional mechanisms maintain the potential and in the meantime prevent spontaneous differentiation to Th2 fate. In addition, intrachromosomal interactions important for co‐ordinated expression of Th2 cytokines pre‐exist in naive CD4 T cells. Upon T‐cell receptor (TCR) engagement, naive CD4 T cells are induced by polarizing signals of the interleukin‐4/Stat6 and Jagged/Notch pathways to up‐regulate the expression of GATA‐3. Once up‐regulated, GATA‐3 drives Th2 and suppresses Th1 differentiation in a cell autonomous fashion. In this stage of differentiation, the Th2 cytokine locus, as well as the interferon‐γ locus, undergoes chromatin remodelling and epigenetic modifications that contribute to the somatic memory of Th2 cytokine gene expression pattern. Once differentiated, Th2 effector cells promptly produce Th2 cytokines upon TCR stimulation, which is regulated by concerted actions of GATA‐3, TCR signalling, enhancers and the Th2 locus control region. This review provides a detailed account of the transcriptional regulatory events at these different stages of Th2 differentiation.
Multivariate Data Driven Models for Firm Value Prediction from Small Data Samples

Firm value is an essential outcome of firm managerial performance measure. From shareholders' and potential investors' perspectives it is an investment decision criterion. This paper studies how firm values are determined by our previous work that explored the variables that drive firm value growth in the Miscellaneous Industrials sector of the Australian Stock Market. We previously studied how the firm's value growth as well as its growth in relation to the changes in the Miscellaneous Industrial Index changed using traditional and artificial intelligent (AI) feature selection techniques. Previously multi-domain models were used to reduce the number of attributes to a manageable number. The primary aim of this study is to investigate the effect of macroeconomic and firm- specific economic factors on firm value growth and relative firm value growth models (also known as multi-domain models) performance. We also explore the capabilities of the multi-domain models to make out-of-sample predictions for firm value growth and relative firm value growth. We find that the macroeconomic and firm specific factors can improve the performance of these multi-domain models, where their raw values generally have a more positive impact on the model performance. It was also found that the price to earning ratio was a consistent positive performer.
A 0.6V, 8mW 3D Vision Processor for a Navigation Device for the Visually Impaired

This paper presents an energy-efficient computer vision processor for a navigation device for the visually impaired. Utilizing a shared parallel datapath, out-of-order processing and co-optimization with hardware-oriented algorithms, the processor consumes 8mW at 0.6V while processing 30 fps input data stream in real time. The test chip fabricated in 40nm is demonstrated as a core part of a navigation device based on a ToF camera, which successfully detects safe areas and obstacles.
How does openness affect academic production? Empirical evidence from the National Key Laboratories of China

By using data on 204 National Key Laboratories of China during the period 2006–2009, this paper investigates how openness influences scientific innovation and technological innovation, which are measured by publications and patents respectively at the laboratory level. The results of the estimation of negative binomial regression models indicate that: the links with industry, international cooperation, and the proportion of non-permanent staff all have significant effects on publication output, and both the links with industry and the proportion of non-permanent staff have a U-shape relationship with publication output, while international cooperation has an inverted U-shape with publication output. International cooperation and the proportion of non-permanent staff also have significant effects on patent output, and international cooperation has an inverted U-shape with patent output, while the proportion of non-permanent researchers is negatively associated with patent output. This paper also reveals the relationship between scientific innovation and technological innovation. Relevant policy suggestions are put forward on how to improve scientific and technological innovation of public research organizations from the perspective of open innovation model.
Comparative Sensitivity Assessment of Cone Beam Computed Tomography and Digital Radiography for detecting Foreign Bodies.

AIM Foreign body detection and determining whether it is adjacent to critical organs has a significant role in its removal. Various imaging techniques have been used to locate foreign bodies. This study aimed to compare cone beam computed tomography (CBCT) and digital radiography for detecting foreign bodies in an in vitro model. MATERIALS AND METHODS Foreign bodies composed of normal glass, barium glass, wood, and stone with two sizes were placed into three different locations of two sheep heads. Digital radiography [lateral cephalometric, submentovertex (SMV)] and CBCT were compared to investigate their sensitivity for detecting foreign bodies. RESULTS Diagnostic sensitivity of digital radiography in lateral cephalometric view, SMV view, and CBCT for detecting all types of foreign bodies was 67.2, 32.3, and 76.6% respectively. None of these techniques were successful in detecting wood satisfactory. Stone was detected relatively higher than other foreign bodies (82.6%). Diagnostic sensitivity of CBCT in detecting foreign bodies was 100%, except for wood. Accuracy of imaging techniques in detecting foreign bodies according to locations in descending order was lip, mandibular angle, and maxillary sinus. CONCLUSION It can be concluded that appropriate amount of radiopacity is enough for CBCT to exactly detect foreign body, regardless of its location or size. CLINICAL SIGNIFICANCE In maxillofacial traumatic patients, CBCT seems to be a better and cost-effective technique for detecting hidden foreign bodies than other routine techniques.
Obesity-related glomerulopathy: an emerging epidemic.

BACKGROUND We report the first large renal biopsy-based clinicopathologic study on obesity-related glomerulopathy. METHODS Obesity was defined as body mass index (BMI)> 30 kg/m2. Obesity-related glomerulopathy (ORG) was defined morphologically as focal segmental glomerulosclerosis and glomerulomegaly (O-FSGS; N = 57) or glomerulomegaly alone (O-GM; N = 14). RESULTS Review of 6818 native renal biopsies received from 1986 to 2000 revealed a progressive increase in biopsy incidence of ORG from 0.2% in 1986-1990 to 2.0% in 1996-2000 (P = 0.0001). Mean BMI in ORG was 41.7 (range 30.9 to 62.7). Indications for renal biopsy included proteinuria (N = 40) or proteinuria and renal insufficiency (N = 31). Seventy-one patients with ORG were compared to 50 patients with idiopathic FSGS (I-FSGS). Patients with ORG were older (mean 42.9 vs. 32.6 years, P < 0.001) and more often Caucasian (75% vs. 52%; P = 0.003). ORG patients had a lower incidence of nephrotic range proteinuria (48% vs. 66%; P = 0.007) and nephrotic syndrome (5.6% vs. 54%; P < 0.001), with higher serum albumin (3.9 vs. 2.9 g/dL; P < 0.001), lower serum cholesterol (229 vs. 335 mg/dL; P < 0.001), and less edema (35% vs. 68%; P = 0.003). On renal biopsy, patients with ORG had fewer lesions of segmental sclerosis (10 vs. 39%; P < 0.001), more glomerulomegaly (100% vs. 10%; P < 0.001), and less extensive foot process effacement (40 vs. 75%; P < 0.001). Glomerular diameter in ORG (mean 226 mu) was significantly larger than age- and sex-matched normal controls (mean 168 mu; P < 0.001). Follow-up was available in 56 ORG patients (mean 27 months) and 50 idiopathic FSGS controls (mean 38 months). A total of 75% of ORG patients received angiotensin-converting enzyme (ACE) inhibition or A2 blockade while 78% of the I-FSGS patients received immunosuppressive therapy. ORG patients had less frequent doubling of serum creatinine (14.3% vs. 50%; P < 0.001) and progression to ESRD (3.6% vs. 42%; P < 0.001). On multivariate analysis, presenting serum creatinine and severity of proteinuria were the only predictors of poor outcome in ORG. CONCLUSION ORG is distinct from idiopathic FSGS, with a lower incidence of nephrotic syndrome, more indolent course, consistent presence of glomerulomegaly, and milder foot process fusion. The ten-fold increase in incidence over 15 years suggests a newly emerging epidemic. Heightened physician awareness of this entity is needed to ensure accurate diagnosis and appropriate therapy.