Miracle-dz/UniFAR-FTUs huggingface dataset:
Telomerase activity in gestational trophoblastic disease and placental tissue from early and late human pregnancies.

BACKGROUND The aim of this study was to evaluate telomerase activity in tissue from cases of gestational trophoblastic disease (GTD) and in placental tissue from early and late human pregnancies. METHODS We used a telomeric repeat amplification protocol assay to measure telomerase activity in 132 tissue samples from normal early pregnancies, spontaneous abortions, normal late pregnancies, cases of late-pregnancy intrauterine fetal death, and GTD. RESULTS Telomerase activity was detected more often in normal early pregnancies and cases of GTD than in spontaneous abortions and normal late pregnancies (P < 0.001). During early gestation, no significant difference in detection rates was found between normal pregnancies and complete hydatidiform mole. As gestational age increased, detection rates for normal pregnancies decreased significantly (P = 0.0001), while for complete hydatidiform mole no significant changes occurred. CONCLUSIONS Our findings indicate that placental tissue from normal early pregnancies and neoplastic tissue from GTD possess similar levels of telomerase activity. Decreasing regulation of telomerase activity is present in normal pregnancies but not in complete hydatidiform mole. The fact that telomerase activity decreases in cases of fetal demise, and as pregnancy progresses, also suggests that placental senescence may play a role in the development and ageing of the placenta.
A data deduplication method in the cloud storage based on FP-tree

Cloud computing provides a virtual, flexible, scalable resource manage mode for Internet enterprises. As the fundamental storage architecture of cloud computing, cloud storage is proposed separately to achieve the high available, scalable storage. However, with the amount of redundant business data, more and more cloud space was occupied and more network bandwidth cost was bought in. To utilize cloud storage efficiently, we proposed a method based on FP-tree in this paper by which we can delete the underlying redundant data in cloud storage. The present work proves this method can save large amount of disk space and can be combined with cloud storage hash location function.
A Hybrid Approach to Grapheme-Phoneme Conversion

We present a simple and effective approach to the task of grapheme-tophoneme conversion based on a set of manually edited grapheme-phoneme mappings which drives not only the alignment of words and corresponding pronunciations, but also the segmentation of words during model training and application, respectively. The actual conversion is performed with the help of a conditional random field model, after which a language model selects the most likely string of grapheme-phoneme segment pairs from the set of hypotheses. We evaluate our approach by comparing it to a state-ofthe-art joint sequence model with respect to two different datasets of contemporary German and one of contemporary English.
Transition between process models (BPMN) and service models (WS-BPEL and other standards): A systematic review

BPMN and BPEL have become de facto standards for modeling of business processes and imple-mentation of business processes via Web services. There is a quintessential problem of discrep-ancy between these two approaches as they are applied in different phases of lifecycle and theirfundamental concepts are different — BPMN is a graph based language while BPEL is basicallya block-based programming language. This paper shows basic concepts and gives an overviewof research and ideas which emerged during last two years, presents state of the art and possiblefuture research directions. Systematic literature review was performed and critical review wasgiven regarding the potential of the given solutions.
Interactive exploration of large remote image databases

Mapping-based visualisations of image databases are well suited to users wanting to survey the overall content of a collection. Given the large amount of image data contained within such visualisations, however, this approach has yet to be applied to large image databases stored remotely. In this technical demonstration, we showcase our Web-Based Images Browser (WBIB). Our novel system makes use of image pyramids so that users can interactively explore mapping-based visualisations of large remote image databases.
Formation of Free Fatty Acid and Ceramide During Brain Handling: Lability of Sphingomyelin

Abstract: Intact brain and brain homogenates readily form free fatty acids and ceramides, even in the cold during subcellular isolation procedures. The fatty acid formation is slightly stimulated by chelators and might be due to phospholipid hydrolysis by lysosomal phospholipases. The ceramide formation is accompanied by loss of sphingomyelin and is apparently due to the action of neutral, metal ion‐activated sphingomyelinase. The latter reaction is inhibited by EDTA whereas both degradative processes are inhibited by mercuriphenylsulfonate, the thiol‐reacting inhibitor. Cerebroside does not seem to be a source of accumulated ceramide.
The role of non‐thermal electrons in the optical continuum of stellar flares

The continuum emission of stellar flares in UV and visible bands can be enhanced by two or even three orders of magnitude relative to the quiescent level and is usually characterized by a blue colour. It is difficult for thermal atmospheric models to reproduce all these spectral features. If the flaring process involves the acceleration of energetic electrons which then precipitate downwards to heat the lower atmosphere, collisional excitation and ionization of ambient hydrogen atoms by these non-thermal electrons could be important in powering the continuum emission. To explore such a possibility, we compute the continuum spectra from an atmospheric model for a dMe star, AD Leo, at its quiescent state, when considering the non-thermal effects by precipitating electron beams. The results show that if the electron beam has an energy flux large enough (for example, ℱ1∼1012 erg cm−2 s−1), the U-band brightening and, in particular, the U−B colour are roughly comparable with observed values for a typical large flare. Moreover, for electron beams with a moderate energy flux ℱ1≲1011 erg cm−2 s−1, a decrease of the emission at the Paschen continuum appears. This can explain at least partly the continuum dimming observed in some stellar flares. Adopting an atmospheric model for the flaring state can further raise the continuum flux, but it yields a spectral colour incomparable with observations. This implies that the non-thermal effects may play the chief role in powering the continuum emission in some stellar flares.
Multipath optical routing with compact fiber delay line-based differential delay compensation

Multipath (MP) routing is an effective technique for applications imposing stringent requirements on bandwidth, delay and availability. However, the benefits of MP routing can be impaired by the differential delay (DD) i.e., delay difference between paths of the MP connection. In presence of DD the destination of a MP connection receives a disordered version of the original packet sequence. Thus, a DD compensation (DDC) technique is needed to recover the original sequence. DDC is normally performed at destination (centralized-DDC) using high speed reconstruction buffers. For MP connections with large DD the centralized-DDC creates a bottleneck that limits the performance gain of MP routing. DDC can be distributed along the paths (distributed electronic-DDC) to reduce the reconstruction buffer requirements and minimize DD at destination. In optical networks, distributed electronic-DDC incurs in extra costly and power hungry electro/optical (E/O) conversions, that are otherwise avoided by routing all optical circuits (i.e., lightpaths). To avoid extra E/O conversions, distributed electronic-DDC can be jointly placed with optical regeneration. Nonetheless, such approach greatly reduces the candidate nodes to distribute the DDC, because optical regeneration is only needed for very long lightpaths. This work proposes, for the first time, the use of compact fiber delay lines (FDL)s to perform distributed all optical DDC (transparent-DDC). The FDLs are passive elements that overcome the problems of previous solutions: they are not restricted to optical regeneration points, and do not incur into extra E/O conversions. An integer linear programming formulation is presented for the MP routing with DD-minimization problem that combines electronic-DDC co-located with 3R (Reamplifying, Reshaping and Retiming) regeneration points to the novel transparent-DDC based on FDLs. Numerical results show the advantages of combining transparent and electronic-DDC in realistic network scenarios.
Fast Fourier Transform and Tucker Decomposition for Feature Extraction in EEG Signals

Electroencephalogram (EEG) is a signal recording of human brain or animal brain activities. An EEG data is usually considered as a three-order tensor with a number of segments recorded in many time. In this paper, a combination of Fast Fourier Transform (FFT) and Tucker decomposition (TD) is proposed to extract features from raw EEG data. We used FFT as a way to remove some excess information effectively. In order to extract better features, Tucker algorithm is also applied to decompose the tensor data into smaller part, but better, called the core part. We evaluate the effect of the proposed method on epilepsy EEG data and compare the results of the way only used FFT. Furthermore, we also show the difference between the data signal of one channel and its decomposer.
Risk for metabolic diseases in normal weight individuals with visceral fat accumulation: a cross-sectional study in Japan

Objective To investigate the association between visceral fat area (VFA) and metabolic syndrome (Mets) among normal weight Japanese. Design A cross-sectional study. Setting The health check-up centre of the Takeda Hospital group in Kyoto, Japan. Methods This study involved 1674 men and 1448 women aged 30–74 years who underwent medical check-ups in 2012 in the health check-up centre. They were stratified by Body Mass Index (BMI cut-off for obesity is set at 23.0 kg/m2 for Asians): normal weight 18.5–22.9 kg/m2 or higher weight ≥23.0 kg/m2. The age-adjusted ORs of the 2nd to 4th groups of sex-specific VFA quartiles compared with the 1st quartile for a Mets component clustering were estimated. The clustering was having two or more of the following factors: high blood pressure, high fasting blood glucose (FBG), low high-density lipoprotein cholesterol (HDL-C) and high triglycerides. Statistical analyses were conducted in 2016. Results Participants in the 2nd to 4th VFA quartiles had significantly higher clustering risks; ORs were 3.4 (1.5 to 8.0), 6.3 (2.8 to 14.2) and 9.3 (4.2 to 20.7) for normal weight participants, and 1.7 (1.2 to 2.6), 2.6 (1.8 to 3.9) and 6.0 (4.1 to 8.8) for higher weight participants, respectively. The ORs of the 4th VFA quartile for Mets components were significantly higher; ORs for normal weight participants were 2.1 (1.5 to 3.0) (high blood pressure), 2.4 (1.4 to 4.2) (high FBG), 5.2 (2.1 to 12.9) (low HDL-C) and 12.0 (5.7 to 25.3) (high triglycerides), and higher weight participants were 3.9 (2.8 to 5.5), 4.1 (2.8 to 6.2), 3.9 (2.2 to 6.9) and 5.0 (3.4 to 7.4), respectively. Conclusions Among participants with normal weight, as well as those of higher weight, dose-dependent responses were observed between VFA and risk for Mets components and the clustering among Japanese adults. VFA may be useful information for interventions to improve metabolic risk factors in people with normal weight.
Detection of Packet Dropping Attack Using Improved Acknowledgement Based Scheme in MANET

Mobile Ad hoc NETwork (MANET) is self configuring network of mobile node connected by wireless links and considered as network without infrastructure. Routing protocol plays a crucial role for effective communication between mobile nodes and operates on the basic assumption that nodes are fully cooperative. Because of open structure and limited battery-based energy some nodes (i.e. selfish or malicious) may not cooperate correctly. After becoming part of active path, theses nodes start refusing to forward or drop data packets thereby degrades the performance of network. In this paper, a new reputation based approach is proposed that deals with such routing misbehavior and consists of detection and isolation of misbehaving nodes. Proposed approach can be integrated on top of any source routing protocol and based on sending acknowledgement packets and counting the number of data packets of active path.
Numerical Integration of the Wavefunction in FEM

Although numerous techniques for calculating stationary states of the schrödinger equation are well known to physicist, computationally stable methods of numerical integration to determine the time evolution of wave functions are less well understood. This paper intends to introduce a few theoretical means of time evolving the schrödinger equation and exploring the results of similar calculations.
Bi-causal recurrent cascade correlation

Recurrent neural networks fail to deal with prediction tasks which do not satisfy the causality assumption. We propose to exploit bi-causality to extend the recurrent cascade correlation model in order to deal with contextual prediction tasks. Preliminary results on artificial data show the ability of the model to preserve the prediction capability of recurrent cascade correlation on strict causal tasks, while extending this capability also to prediction tasks involving the future.
A study of current neck injury criteria used for whiplash analysis: proposal of a new criterion involving upper and lower neck load cells

Nowadays several injury criteria are being used in the analysis and evaluation of whiplash risk in automotive rear impacts (NIC, Nkm, LNL, etc.). This study presents a review of the most accepted injury mechanisms and evaluates the advantages and inconveniences of the commonest criteria at present. Taking into account the conclusions arrived at during this comparison, a new criterion is proposed using the signals registered in the upper and lower neck load cells of a crash test dummy, trying to minimize the disadvantages previously found in the other criteria. In order to validate this study a series of sled tests with a BioRID-II dummy have been performed and the results analyzed, confirming the assumptions made during the review of the present criteria and showing a very promising response to the new one. In conclusion, the use of injury criteria involving the load cells situated in both ends of the neck at the same time is recommended as the best way to deal with the dynamics produced during the whiplash movement in a rear impact.
Heuristic Search Method for Digital IIR Filter Design

The paper develops innovative methodology for robust and stable design of digital infinite impulse response (IIR) filters using a heuristic search method. The proposed heuristic search method enhances the capability to explore and exploit the search space locally as well globally to obtain optimal filter design parameters. A multicriterion optimization is employed as design criterion to obtain optimal stable IIR filter that satisfies different performance requirements like minimizing Lp-norm approximation error and ripple magnitude. Multicriterion optimization problem has been solved applying weighted sum method and p-norm method. Best weight pattern is searched using evolutionary search method that minimizes the performance criteria simultaneously. The proposed heuristic search method is effectively applied to solve the multicriterion, multiparameter optimization problems of low-pass, high-pass, band-pass, and band-stop digital filters design. The computational experiments show that the proposed heuristic search method is superior or atleast comparable to other algorithms and can be efficiently used for higher filter design.
Patients with Chronically Diseased Livers Have Lower Incidence of Colorectal Liver Metastases: A Meta-Analysis

Background 70 years ago, it was put forward that the diseased liver was not a favorable soil for metastatic tumor cells. In addition, a few studies have demonstrated that rare occurrence of colorectal liver metastases among patients with fatty liver, cirrhosis or chronic hepatitis B and C virus infection. We performed a meta-analysis to verify the association between the incidences of colorectal liver metastases with chronically diseased livers. Methods Relevant studies were identified by a search of electronic database PubMed, Cochrane Library, OVID, Web of Science and CNKI (up to February 24, 2014). Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated using random- or fixed-effect models when appropriate. Meta-analysis and publication bias (Bgger's test) was evaluated with STATA 12.0. Results A total of 10,349 colorectal cancer patients from 10 studies were included. The meta-analysis result showed there was a significant difference in the incidences of colorectal liver metastases between patients with normal and chronically diseased livers (OR = 0.32; 95% CI 95%: 0.26–0.38, P = 0.000 fixed-effects model). The result of Begg's test (Pr>|z| = 0.089; P>0.05) revealed no publication bias. Conclusions The results of this meta-analysis demonstrated that patients with chronically diseased livers had significantly lower incidences of colorectal liver metastases than those with normal livers.
Passivity-Based Control for a Micro Air Vehicle Using Unit Quaternions

In this paper the development and practical implementation of a Passivity-Based Control (PBC) algorithm to stabilize an Unmanned Aerial Vehicle (UAV) described with unit quaternions are presented. First, a mathematical model based on Euler-Lagrange formulation using a logarithmic mapping in the quaternion space is introduced. Then, a new methodology: a quaternion-passivity-based control is derived, which does not compute excessive and complex Partial Differential Equations (PDEs) for synthesizing the control law, making a significant advantage in comparison with other methodologies. Therefore, the control design to a system as the quad-rotor is easily solved by the proposed methodology. Another advantage is the possibility to stabilize quad-rotor full dynamics which may not be possible with classical PBC techniques. Experimental results and numerical simulations to validate our proposed scheme are presented.
Effect of Pulse electromagnetic field therapy to brainwave on the Quantum Resonance System

Quantum Resonance System (QRS) is one of the effective instruments in the management of several diseases including diabetes. This instrument can be used with many modalities. Quantum Resonance System (QRS) works at the cellular level to normalize the function of cells. Every cell has its own frequency and the frequency package that is embodied in the Quantum Resonance System (QRS) pulsed electromagnetic signal produces a resonance effect. The objective of this study is then focus on applying Pulse Magnetic Field Therapy (PMFT) during the brainwave recording. In this study, the effectiveness of commercially available lightweight EEG devices, NeuroSky's Mindwave Mobile, was considered. The total of 44 volunteers participated in this study. Screening interview was conducted in order to select the suitable volunteers involved in the study. Participants were participated in the Pulse Magnetic Field Therapy (PMFT) for 45 minutes. Informed consent forms were provided to all participants before participating in the study. Quantum Resonance System (QRS) therapy has been designed as a non-invasive, natural, gentle and long-term therapy. It produces positive results over the longer term without side effects. The Pulse Magnetic Field Therapy (PMFT) applied using the Quantum Resonance System (QRS) caused all types of brainwaves significantly difference between pre-test and post-test after applying the Pulse Magnetic Field Therapy (PMFT) except the theta brainwave.
Legal Insider Trading and Stock Market Reaction: Evidence from the Netherlands

This paper provides an analysis of legal insider trading on the Euronext Amsterdam stock exchange by using data published in the register held by the AFM, the dutch financial markets authority. The sample includes 822 transactions executed by corporate insiders between the beginning of January 1999 and the end of September 2005. Our analysis shows that the financial markets' response is not significant for purchases, and that the abnormal returns associated with the sales do not have the expected sign. However, over a longer time horizon, the average cumulated abnormal returns are positive for the stocks purchased, and negative for stocks sold by insiders. This result suggests either that insiders use long-term information for their trading activities or that they are able to time the market.
Simulations of photonic-crystal slabs by a frequency-dependent FDTD formulation

The paper focuses on the transmission properties of a finite-size photonic crystal slab with a linearly dispersive Lorentz dielectric, where the frequency-dependent finite-difference time-domain (FDTD) formulation based on the direct-integration method is extended from the conventional three-dimensional FDTD technique that has been numerically validated against the references in terms of the transmission spectra of a finite size square-lattice dielectric photonic-crystal slab.
Miniaturized microstrip and CPW filters using coupled metamaterial resonators

In this paper, it is shown that the application of metamaterial resonators to the design of planar microwave filters provides a high level of miniaturization for such devices. Specifically, split-ring resonator, complementary split-ring resonator, and spiral resonator are used to synthesize microwave filters using the coupling coefficient approach. Some considerations in order to improve and control the coupling coefficients between resonators are exposed. The magnetic and electric character of the coupling coefficient is analyzed in detail, and a method to identify this coupling is proposed. Finally, several prototype device filters operative at S-band are provided to illustrate the proposed techniques
Optimal Resource Allocation Scheme for Satisfying the Data Rate Requirement in Hybrid Network of D 2 D-Cellular

In this paper, an optimal wireless resources allocation scheme is put forward to improve the performance for both cellular and Device-to-Device (D2D) users in a hybrid network. The resource unit and power allocation can be modeled into a sum-rate optimization problem with the constraint of power limitation and rate ratio. The rate ratio is used to measure the data rate requirements from both cellular and D2D users. By using the Lagrange Multiplier Method, we derived out the optimal formula about allocating the power and resource unit for both cellular and D2D users. According to the optimal formula, the relationship between the transmission power and resource unit allocation is mutually conditional. Then the resource allocation scheme algorithm was given. And the power allocation can be resolved by the water-filling algorithm. Simulation results show that the proposed scheme improves the sum-throughput significantly as well as the fairness.