Miracle-dz/UniFAR-FTUs huggingface dataset:
Average Symbol Error Probability in the presence of network interference and noise

In this paper, we introduce a new framework to compute the Average Symbol Error Probability (ASEP) of an intended wireless communication system subject to network interference and noise. The interfering nodes are assumed to be randomly distributed in the 2D Euclidean plane according to a homogeneous Poisson point process. Our framework is applicable to performance prediction and optimization of, e.g., emerging heterogeneous cellular and cognitive radio networks. More specifically, we move from and generalize the semi-analytical framework recently introduced by Pinto and Win [1], and develop a new mathematical model which offers a simple single-integral expression of the ASEP under very general channel and interference conditions. The framework is exact, avoids Monte Carlo methods for its computation, and is applicable to asynchronous and synchronous scenarios. Our numerical examples show that both setups have almost the same performance, and that the ASEP in the presence of synchronous interference is a very tight upper-bound of the ASEP in the presence of asynchronous interference. This is a relevant result, as we show in this paper that in the former case all parameters of interest can be computed in closed-form. Our analytical derivation is substantiated through extensive Monte Carlo simulations.
Embryonic Stem Cell‐Derived Pitx3‐Enhanced Green Fluorescent Protein Midbrain Dopamine Neurons Survive Enrichment by Fluorescence‐Activated Cell Sorting and Function in an Animal Model of Parkinson's Disease

Both fetal ventral mesencephalic (VM) and embryonic stem (ES) cell‐derived dopamine neurons have been used successfully to correct behavioral responses in animal models of Parkinson's disease. However, grafts derived from fetal VM cells or from ES cells contain multiple cell types, and the majority of these cells are not dopamine neurons. Isolation of ES cell‐derived dopamine neurons and subsequent transplantation would both elucidate the capacity of these neurons to provide functional input and also further explore an efficient and safer use of ES cells for the treatment of Parkinson's disease. Toward this goal, we used a Pitx3‐enhanced green fluorescent protein (Pitx3‐eGFP) knock‐in mouse blastocyst‐derived embryonic stem (mES) cell line and fluorescence‐activated cell sorting (FACS) to select and purify midbrain dopamine neurons. Initially, the dopaminergic marker profile of intact Pitx3‐eGFP mES cultures was evaluated after differentiation in vitro. eGFP expression overlapped closely with that of Pitx3, Nurr1, Engrailed‐1, Lmx1a, tyrosine hydroxylase (TH), l‐aromatic amino acid decarboxylase (AADC), and vesicular monoamine transporter 2 (VMAT2), demonstrating that these cells were of a midbrain dopamine neuron character. Furthermore, postmitotic Pitx3‐eGFP+ dopamine neurons, which constituted 2%–5% of all live cells in the culture after dissociation, could be highly enriched to >90% purity by FACS, and these isolated neurons were viable, extended neurites, and maintained a dopaminergic profile in vitro. Transplantation to 6‐hydroxydopamine‐lesioned rats showed that an enriched dopaminergic population could survive and restore both amphetamine‐ and apomorphine‐induced functions, and the grafts contained large numbers of midbrain dopamine neurons, which innervated the host striatum.
Network oscillations and intrinsic spiking rhythmicity do not covary in monkey sensorimotor areas

We investigated the relationship between local field potential (LFP) oscillations and intrinsic spiking rhythmicity in the sensorimotor system, because intrinsic rhythmicity has the potential to enhance network oscillations. LFPs and 918 single units were recorded from primary motor cortex (M1), primary somatosensory cortex (S1, areas 3a and 2), posterior parietal cortex (area 5) and the deep cerebellar nuclei (DCN). Some cells were antidromically identified as pyramidal tract neurons (PTNs). In each area the power of ∼20 Hz LFP oscillations was assessed during periods of steady holding, when such oscillations have previously been shown to be maximal in M1. Oscillations were strongest in area 5 and weakest in the DCN. Using a previously developed method, the postspike distance‐to‐threshold trajectory was determined from the interspike interval histogram for each cell. Many cells had significant peaks, suggesting an intrinsic tendency towards rhythmic firing. Surprisingly, trajectory peaks were most common for M1 PTNs (115/146 cells) and rarest for area 5 neurons (12/82 cells). The extent of intrinsic spiking rhythmicity is not therefore simply related to the strength of 20 Hz oscillations in the sensorimotor system. These results suggest that intrinsic rhythmicity is not required for the generation and maintenance of oscillatory activity.
Fixed Energy Storage Technology Applied for DC Electrified Railway

The fixed energy storage system solves the problem of rising energy costs by reducing primary energy consumption. Without a fixed energy storage system, the energy generated by a braking vehicle would be simply converted into waste heat by its braking resistors if no other vehicles are powered simultaneously. Because, as a rule, such synchronized braking and powering cannot be coordinated, the energy storage system stores the energy generated during braking and discharges it again when a vehicle is powered. This greatly reduces primary energy demand in the substation. However, in addition to this energy saving, the energy storage system contributes to the reduction of CO2 emissions. The energy storage system also stabilizes the system voltage. Recent years have witnessed an advance in the energy storage media technology. Developments of energy storage media, lithium ion battery, nickel‐metal hydride battery, and electric double‐layer capacitors (EDLCs) have been remarkable. This study introduces technologies of fixed energy storage system applicable for DC electrified railway in Japan, and describes two examples of charge/discharge characteristics. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Intentions to reenter venture creation: The effect of entrepreneurial experience and organizational climate

We identify and examine an important but overlooked group of entrepreneurs – individuals who have started one or more business ventures in the past but are currently employed in established organizations. We label these individuals as ‘organizationally employed former entrepreneurs’ (OEFEs). Our goal is to provide insight into the factors affecting their serial entrepreneurship intentions, that is, their intentions to re-enter entrepreneurship by re-engaging in venture creation. Applying Schneider’s attraction-selection-attrition theory, we identify factors that are likely to affect serial entrepreneurship intentions of OEFEs: the length of their venture creation experience and the climate of their employing organizations. Using survey data from 196 OEFEs, we show that the length of OEFE venture creation experience is positively related to their serial entrepreneurial intentions and that this relationship is negatively moderated by the organizational structure and entrepreneurial orientation of the organization in which the OEFEs are employed.
Overweight, Obesity, and Health-Related Quality of Life Among Adolescents: The National Longitudinal Study of Adolescent Health

Objective. Childhood and adolescent overweight and obesity have increased substantially in the past 2 decades, raising concerns about the physical and psychosocial consequences of childhood obesity. We investigated the association between obesity and health-related quality of life in a nationally representative sample of adolescents. Methods. A cross-sectional analysis was conducted using the 1996 National Longitudinal Study of Adolescent Health, a nationally representative sample of adolescents in grades 7 to 12 during the 1994–1995 school year, and 4743 adolescents with direct measures of height and weight. Using Centers for Disease Control and Prevention growth charts to determine percentiles, we used 5 body mass categories. Underweight was at or below the 5th percentile, normal BMI was between the 5th and 85th percentiles, at risk for overweight was between the 85th and 95th percentiles, overweight was between the 95th and 97th percentiles + 2 BMI units, and obese was at or above the 97th percentile + 2 BMI units. Four dimensions of health-related quality of life were measured: general health (self-reported general health), physical health (absence or presence of functional limitations and illness symptoms), emotional health (the Center for Epidemiologic Studies Depression Scale and Rosenberg's self-esteem scale), and a school and social functioning scale. Results. We found a statistically significant relationship between BMI and general and physical health but not psychosocial outcomes. Adolescents who were overweight had significantly worse self-reported health (odds ratio [OR]: 2.17; 95% confidence interval [CI]: 1.34–3.51), as did obese adolescents (OR: 4.49; 95% CI: 2.87–7.03). Overweight (OR: 1.81; 95% CI: 1.22–2.68) and obese (OR: 1.91; 95% CI: 1.24–1.95) adolescents were also more likely to have a functional limitation. Only among the youngest adolescents (ages 12–14) did we find a significant deleterious impact of overweight and obesity on depression, self-esteem, and school/social functioning. Conclusions. Using a nationally representative sample, we found that obesity in adolescence is linked with poor physical quality of life. However, in the general population, adolescents with above normal body mass did not report poorer emotional, school, or social functioning.
Conservative Cell Load Approximation for Radio Networks with Shannon Channels and its Application to LTE Network Planning

The aim of this work is wireless network design and optimization. The well-known Shannon-Hartley formula describes the achievable bitrate of a noisy transmit channel. The downlink air-interface of UTRAN Long Term Evolution (LTE) seems to closely follow such a law, when it is modified with appropriate bandwidth and signal to noise ratio (SNR) efficiency factors. Motivated by this observation, we address the problem to characterize the cell loads in large radio networks when the achieved downlink air interface bitrates follow modified Shannon-Hartley laws. We take advantage of the concavity of an appropriate transform of these laws in order to establish a system of conservative cell load and call acceptance probability equations. This approximation achieves a dimension reduction from the number of mobiles to the number of cells. We suggest to solve the obtained fixed-point equations through a direct iteration and to deduce the network capacity from the solution. This procedure yields network capacity evaluations which are fast enough to support network planning processes. For this purpose we sketch a simple local search algorithm for the selection of base station locations and optimization of cell parameters. In an example we show that the proposed cell load calculation and network capacity optimization is fast enough to support this site selection and cell configuration planning method for LTE networks.
PENGARUH OPERATING PROFIT MARGIN, DIVIDEND PAYOUT RATIO, PROFITABILITAS, DAN PRICE EARNING RATIO TERHADAP PRAKTIK PERATAAN LABA PADA PERUSAHAAN LQ-45 YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2010-2014

ABSTRACT The objectives of this research are to examine (1) the effect of operating profit margin, dividend payout ratio, profitability, and price earning ratio simultaneously on income smoothing, and (2) the effect of operating profit margin, dividend payout ratio, profitability, and price earning ratio partially on income smoothing. The method used in this research is purposive sampling method. The sample of this research is LQ-45 company listed in Indonesia Stock Exchange during 2010 until 2014. The analysis method used in the research is logistic regression. The result of this research are (1) operating profit margin, dividend payout ratio,profitability, and price earning ratio simultaneously have an effect on the income smoothing, (2) operating profit marginanddividend payout ratio partially have an affect the income smoothing and, (3) profitability and price earning ratio have not effect on the income smoothing Keywords: operating profit margin, dividend payout ratio, profitability, price earning ratio,and income smoothing ABSTRAK Penelitian ini bertujuan untuk menguji (1) pengaruh operating profit margin, dividend payout ratio, profitabilitas, dan price earning ratio secara bersama-sama terhadap praktik perataan laba, dan (2) pengaruh operating profit margin, dividend payout ratio, profitabilitas, dan price earning ratio secara parsial terhadap praktik perataan laba. Metode penelitian yang digunakan dalam penelitian ini adalah metode purposive sampling. Sampel dalam penelitian ini adalah perusahaan LQ-45 yang terdaftar di Bursa Efek Indonesia periode 2010 hingga 2014. Metode analisis yang digunakan dalam penelitian ini adalah regresi logistik. Hasil penelitian ini menunjukkan (1) operating profit margin, dividend payout ratio, profitabilitas, dan price earning ratio secara bersama-sama berpengaruh terhadap praktik perataan laba, (2) operating profit margindan dividend payout ratio berpengaruh secara parsial terhadap praktik perataan laba, dan (3) profitabilitas dan price earning ratiotidak berpengaruh terhadap praktik perataan laba. Kata Kunci: operating profit margin, dividend payout ratio, profitabilitas, price earning ratio,and income smoothing
A Broadband Sensor Interface IC for Miniaturized Dielectric Spectroscopy From MHz to GHz

This paper describes a broadband sensor interface IC as part of a miniaturized measurement platform for MHz-to-GHz dielectric spectroscopy. Developed in 0.35 μm 2P/4M RF CMOS, the IC measures frequency-dependent S 21 magnitude and phase of a microfluidic dielectric sensor fabricated in a thick gold-on-glass microfabrication process and loaded with a material-under-test (MUT). The IC architecture implements a broadband frequency response analysis (bFRA) method by first down-converting the sensor response signal from the RF excitation frequency to an intermediate frequency (IF) of 1 MHz using a low-noise amplifier (LNA) and active mixer, followed by down-converting the IF signal to dc using a coherent detector employing IF amplification stages with programmable gain, a passive mixer driven by in-phase (I) and quadrature-phase (Q) signals and an active-RC low-pass filter (LPF). The sensor interfaced with the IC is fully capable of differentiating among deionized (DI) water, phosphate buffered saline (PBS), ethanol and methanol in tests conducted at four different excitation frequencies of 50 MHz, 500 MHz, 1 GHz and 3 GHz. Further, dielectric readings of ethanol from the sensor interfaced with the IC at five excitation frequencies in the range of 50 MHz to 2 GHz are in excellent agreement (error <;1%) with those from using a vector network analyzer (VNA) as the sensor readout. A bulk-solution reference measurement by an Agilent 85070E dielectric probe kit interfaced with a VNA is also performed to verify proof-of-concept feasibility in conducting MHz-to-GHz dielectric spectroscopy with a miniaturized measurement platform using μL-sample volumes.
Degradation of polycyclic aromatic hydrocarbons in different synthetic solutions by Fenton’s oxidation

ABSTRACT The Fenton oxidation using phenanthrene (Phe), fluoranthene (Fle) and benzo[a]pyrene (BaP) as representative polycyclic aromatic hydrocarbon (PAH) contaminants was examined. The effect of the H2O2 concentration, the temperature and the competition between the PAHs in different solutions (methanol, surfactant and quartz) was investigated. The Fenton oxidation process was performed at pH = 2.5. The best conditions were recorded by adding 15 g H2O2 L− 1 with a molar H2O2/Fe2+ ratio of 10/1 at T = 60°C. Phe, Fle and BaP were efficiently degraded in aqueous solution (Phe = 99%, Fle = 99% and BaP = 90%). The present study demonstrated that Phe, Fle and BaP were degraded to intermediate compounds and also oxidized to carbon dioxide. Among the by-products obtained, phthalic acids and benzoic acid were recorded as the major products.
Functional neuroimaging demonstrates that ghrelin inhibits the central nervous system response to ingested lipid

Objective Gut-derived humoural factors activate central nervous system (CNS) mechanisms controlling energy intake and expenditure, and autonomic outflow. Ghrelin is secreted from the stomach and stimulates food intake and gastric emptying, but the relevant mechanisms are poorly understood. Nutrient-activated CNS systems can be studied in humans by physiological/pharmacological MRI (phMRI). This method has been used to examine the CNS responses to exogenous ghrelin. Design phMRI was used to study the CNS responses in healthy people to a ghrelin bolus (0.3 nmol/kg, intravenous) in the post-prandial state, and an intravenous infusion of ghrelin (1.25 pmol/kg/min) alone and after intragastric lipid (dodecanoate, C12) in people who have fasted. Results A ghrelin bolus decreased the blood oxygenation level dependent (BOLD) signal detected by phMRI in feeding-activated areas of the CNS in the post-prandial state. Infusion of ghrelin reversed the effect of C12 in delaying gastric emptying but had no effect on hunger. Intragastric C12 caused strong bilateral activation of a matrix of CNS areas, including the brain stem, hypothalamus and limbic areas which was attenuated by exogenous ghrelin. Ghrelin infusion alone had a small but significant stimulatory effect on CNS BOLD signals. Conclusion Ghrelin inhibits activation of the hypothalamus and brain stem induced by ingested nutrients, suggesting a role in suppression of gut-derived satiety signals in humans.
MC29 virus-coded protein occurs as monomers and dimers in transformed cells

The MC29 virus-coded protein p110gag-myc was found exclusively in the nucleus of transformed Japanese quail (Q8) cells, and time course experiments indicated that the protein had a half-life of about 30 min. When extracts of either Q8 or chicken embryo cells infected with MC29 virus were prepared with nondenaturing detergents and then sedimented in sucrose gradients, p110 was found in the fractions expected to contain monomers (5.9S), dimers (9.3S), or mixtures of the two. The same extracts treated with denaturing detergent (0.2% sodium dodecyl sulfate) exhibited p110 only in fractions expected for the monomeric protein, but beta-mercaptoethanol had no effect on the original distribution. Gradients prepared with 0.5 or 1.0 M NaCl failed to dissociate the faster-sedimenting form. No other protein or polyribonucleotide which could increase the sedimentation rate of p110 was found, and neither RNase nor DNase altered the sedimentation pattern of p110 in nondenatured extracts. A reassociation of monomeric p110 into dimers discernible by gel electrophoresis was demonstrated.
PHEME dataset of rumours and non-rumours

Breaking news leads to situations of fast-paced reporting in social media, producing all kinds of updates related to news stories, albeit with the caveat that some of those early updates tend to be rumours, i.e., information with an unverified status at the time of posting. Flagging information that is unverified can be helpful to avoid the spread of information that may turn out to be false. Detection of rumours can also feed a rumour tracking system that ultimately determines their veracity. In this paper we introduce a novel approach to rumour detection that learns from the sequential dynamics of reporting during breaking news in social media to detect rumours in new stories. Using Twitter datasets collected during five breaking news stories, we experiment with Conditional Random Fields as a sequential classifier that leverages context learnt during an event for rumour detection, which we compare with the state-of-the-art rumour detection system as well as other baselines. In contrast to existing work, our classifier does not need to observe tweets querying a piece of information to deem it a rumour, but instead we detect rumours from the tweet alone by exploiting context learnt during the event. Our classifier achieves competitive performance, beating the state-of-the-art classifier that relies on querying tweets with improved precision and recall, as well as outperforming our best baseline with nearly 40% improvement in terms of F1 score. The scale and diversity of our experiments reinforces the generalisability of our classifier.
Brief fixation does not hamper the reliability of Ki67 analysis in breast cancer core‐needle biopsies: a double‐centre study

Immunohistochemical assessment of Ki67 expression in core‐needle biopsies (CNBs) is increasingly playing a role in therapeutic decision‐making for breast cancer patients. Within the framework of same‐day diagnosis of breast lesions, fixation times are markedly decreased. We therefore attempted to validate Ki67 analysis in briefly fixed breast cancer CNBs.
Audio assisted group detection using smartphones

In this paper we introduce a novel technique to discover groups of users sharing the same environment: a room, an office, a car. Using a smartphone device, we propose a method based on the joint usage of GPS and acoustic fingerprints, allowing to greatly improve the precision of GPS only group detection. To reach the objective, we use a novel variation of an existing audio fingerprinting algorithm with good noise tolerance, assessing it under several conditions. The method is shown to be especially effective for groups of listeners of audio and audio visual content. We finally propose an application of the method to deliver content recommendations for a specific use case, hybrid content radio, an adaptive radio service discussed in the European Broadcasting Union, allowing the enrichment of traditional broadcast linear radio with personalized and context-aware audio content.
Estimating and Controlling the Uncertainty of Learning Machines

The problem of estimating model uncertainty of learning machines (LMs) is becoming a subject of great interest because of the wide application of such kind of methodologies for solving real-world problems. In this work we will provide a general overview on estimating and controlling uncertainity of LMs, by describing the algorithms, the theory and the empirical methods used to obtain a robust estimation. In the end we address the problem of uncertainty estimation when devices with limited resources are considered for the hardware implementation
Inverter Nonlinearity Compensation in the Presence of Current Measurement Errors and Switching Device Parameter Uncertainties

This paper proposes a compensation strategy for the unwanted disturbance voltage due to inverter nonlinearity. We employ an emerging learning technique called support vector regression (SVR). SVR constructs a motor dynamic voltage model by a linear combination of the current samples in real time. The model exhibits fast observer dynamics and robustness to observation noise. Then the disturbance voltage is estimated by subtracting the constructed voltage model from the current controller output. The proposed method compensates for all of the inverter nonlinearity factors at the same time. All the processes in estimating distortions are independent of the dead time and power device parameters. From the analysis of the effect on current measurement errors, we confirmed that the sampling error had little negative impact on the proposed estimation method. Experiments demonstrate the superiority of the proposed method in suppressing voltage distortions caused by inverter nonlinearity
Reproducibility of ABC/2 Method to Determine Infarct Volume and Mismatch Percentage with CT Perfusion

Our aim is to implement a simple, rapid, and reliable method using computed tomography perfusion imaging and clinical judgment to target patients for reperfusion therapy in the hyper‐acute stroke setting. We introduce a novel formula (1–infarct volume [CBV]/penumbra volume [MTT] × 100%) to quantify mismatch percentage.