Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of RF Avalanche Inductive Effect on Reduction of Intermodulation Distortion of MOSFETs Using Volterra Series Analysis

In this paper, reduction of intermodulation distortion (IMD) due to inductive behavior for radio frequency (RF) MOSFETs is explored using Volterra series based on a nonlinear model incorporating a physical inductive breakdown network for the first time. The calculated total magnitude of high-order nonlinearities is lower than individual results from a nonlinear transconductance and breakdown inductance. In addition, the analysis result shows that the phase difference between the nonlinear transconductance and the breakdown inductance is almost π. Cancellation between resistive nonlinearity and reactive nonlinearity from the inductance due to the avalanche delay is first reported. The input third-order intercept point (IIP 3) is improved at biases where the breakdown inductance nonlinearity dominates. Instead, linearity will decrease when the breakdown resistance dominates.
Large-MIMO Receiver Based on Linear Regression of MMSE Residual

Multiple input multiple output (MIMO) systems with large number of antennas have been gaining wide attention as they enable very high throughputs. A major impediment is the complexity at the receiver needed to detect the transmitted data. To this end we propose a new receiver, called LRR (Linear Regression of MMSE Residual), which improves the MMSE receiver by learning a linear regression model for the error of the MMSE receiver. The LRR receiver uses pilot data to estimate the channel, and then uses locally generated training data (not transmitted over the channel), to find the linear regression parameters. The proposed receiver is suitable for applications where the channel remains constant for a long period (slowfading channels) and performs quite well: at a bit error rate (BER) of 10-3, the SNR gain over MMSE receiver is about 7 dB for a 16 × 16 system; for a 64 × 64 system the gain is about 8.5 dB. For large coherence time, the complexity order of the LRR receiver is the same as that of the MMSE receiver, and in simulations we find that it needs about 4 times as many floating point operations. We also show that further gain of about 4 dB is obtained by local search around the estimate given by the LRR receiver.
An adapted support vector machine for velocity field interpolation at the Baota landslide

The possibility of landslides will increase dramatically i n the vicinity of the Yangtze river due to soil water changes caused by water level rise in the hin t rla d of the Three Gorges dam. One of these endangered areas can be found at Baota landsl ide. Several investigations have been carried out here by Chinese i stitutions: GPS-measurements, classical geodetic observation methods and geotechnical m onitorings. Remote sensing contributons were done by a European research group. But, it is th e question how to compare, or better, how to combine the data of the different sensors. Most of the interpolation algorithms do not use external inf ormation, like from topography, geology or vegetation in the computation of such velocity fie lds. Often this external information exits in a higher geometrical density than the sensor sites and – much more important – these external data represent the processes acting in a lan dslide area. Accordingly this knowledge must not be neglected actually to support the inte rpolation. Some tests with synthetic data showed the high potential of t his group of algorithms, and enabled to adapt them to the problem, what means: find the righ t feature space with the optimal hyperplane. Finally a well adjusted ANOVA-kernel d ivered the best results for our purposes at Baota landslide.
Dynamics and Neutrino Signal of Black Hole Formation in Nonrotating Failed Supernovae. II. Progenitor Dependence

We study the progenitor dependence of black hole formation and its associated neutrino signal due to the gravitational collapse of a nonrotating massive star, following on our previous study of a single progenitor model. We aim to clarify whether the dynamical evolution toward black hole formation occurs in the same manner for different progenitors and to examine whether the characteristic of neutrino bursts having short duration and rapidly increasing average energies is a general one. We perform numerical simulations using general relativistic neutrino radiation hydrodynamics to follow the dynamical evolution from the collapse of 40 and 50 M☉ presupernova models to black hole formation via contracting proto-neutron stars. For the three progenitor models studied in this paper, we find that black hole formation occurs ~0.4-1.5 s after core bounce through an increase of the proto-neutron star mass, accompanied by a short and energetic neutrino burst. The density profile of the progenitor is important in determining the accretion rate onto the proto-neutron star and, therefore, the duration of the neutrino burst. We compare the neutrino bursts of black hole-forming events from different progenitors and discuss whether they can be used to probe clearly the progenitor and the dense matter.
Antifungal Susceptibility Analysis of Clinical Isolates of Candida parapsilosis in Iran

Background: Candida parapsilosis is an emergent agent of invasive fungal infections. This yeast is one of the five most widespread yeasts concerned in invasive candidiasis. C. parapsilosis stands out as the second most common yeast species isolated from patients with bloodstream infections especially in neonates with catheter. Recently several reports suggested that its reduced susceptibility to azoles and polyene might become a cause for clinical concern, although C. parapsilosis is not believed to be intensely prone to the development of antifungal resistance. Methods: In the present report, One hundred and twenty clinical isolates of C. parapsilosis complex were identified and differentiated by using PCR-RFLP analysis. The isolates were then analyzed to determine their susceptibility profile to fluconazole (FLU), itraconazole (ITC) and amphotericin B. The minimum inhibitory concentration (MIC) results were analyzed according to the standard CLSI guide. Results: All of isolates were identified as C. parapsilosis. No C. metapsilosis and C. orthopsilosis strains were found. Evaluation of the antifungal susceptibility profile showed that only three (2.5%) C. parapsilosis were resistant to fluconazole, three (2.5%) C. parapsilosis were resistant to itraconazole and two (1.7%) C. parapsilosis were amphotericin B resistant. Conclusion: Profiles in clinical isolates of C. parapsilosis can provide important information for the control of antifungal resistance as well as distribution and susceptibility profiles in populations.
The educational experiences of the second generation from refugee backgrounds

ABSTRACT This paper draws on qualitative interviews to explore the educational experiences amongst the UK-born adult children of refugees from Vietnam, Sri Lanka (Tamils) and Turkey (Kurdish). Second generation from refugee backgrounds are characterised by diversity and as a group are increasing numerically. However, little is known about the specificity of their experiences as they have been either subsumed within or have fallen between the research agendas on new migrants, refugees, asylum seekers and the body of research on larger established minorities. This paper sets out to fill a gap in the literature by exploring the perspectives of second generation from refugee backgrounds. We examine the impact of policy – particularly dispersal and mobility – on education, the ways in which inter-generational relations and the aspirations of both parents and their children can be shaped by refugee histories, how schools fail to alleviate barriers to parental participation and racism within school settings, especially – though not exclusively – within schools that are less ethnically diverse. We conclude that the policy context and refugee backgrounds shape educational experiences and aspirations but also significant are the structural divisions that reproduce class and race-based inequalities.
La thérapie multifamiliale, une alternative à la thérapie unifamiliale dans le traitement de l'anorexie mentale de l'enfant et de l'adolescent?.

La therapie multifamiliale, une alternative a la therapie unifamiliale dans le traitement de l'anorexie mentale de l'enfant et de l'adolescent ? - La therapie multifamiliale consiste a rassembler plusieurs familles autour d'une pathologie ou d'une problematique donnee dans un contexte therapeutique. Ses premieres applications (1950-1960) se sont developpees autour des troubles psychotiques chroniques, notamment la schizophrenie et le trouble bipolaire. Cette approche therapeutique encore peu connue en France, a ete recemment adaptee au traitement de l'anorexie mentale dans le service de pedopsychiatrie de l'hopital Robert Debre, notamment pour accompagner en post-hospitalisation les enfants et adolescents a risque de rechute ou de chronicisation, et/ou les familles reticentes a la therapie unifamiliale pendant l'hospitalisation. L'article presente cette experience novatrice, son cadre theorique, ses objectifs et principaux themes, ainsi que trois techniques specifiques de l'approche multifamiliale. Une etude de cas vient illustrer ces differents points.
Correlating Scheduling and Load balancing to achieve optimal performance from a cluster

In recent years, an increasing amount of computer network research has focused on the problem of cluster system in order to achieve higher performance and lower cost. Memory management becomes a prerequisite when handling applications that require immense volume of data for e.g. satellite images used for remote sensing, defense purposes and scientific applications. The load unbalance is the major defect that reduces performance of a cluster system that uses parallel program in a form of SPMD (single program multiple data). Dynamic load unbalancing can solve the load unbalance problem of cluster system and reduce its communication cost. This paper proposes a new algorithm that correlates the scheduling of incoming jobs and balancing of the loads at each node in a multi cluster. This method assigns weights for each node to schedule an incoming job and then load will be balanced dynamically using memory locality as the main factor. The main parameters used in this algorithm are partition size, CPU usage, memory usage, page faults and execution time. The tests evaluated with various applications shown a significant optimization in the cluster performance.
Neuropeptides and Neurotransmitters Involved in Generalized Epilepsy: HowCan the Antiepileptic Effect be Improved?

Here, we describe the alterations of neurotransmitters and neuropeptides that act on specific subreceptors in the brain areas involved in generalized epilepsy. A neurotransmitter imbalance between GABAergic and serotonergic neurons with hypoactivity and glutaminergic and dopaminergic neurons with hyperactivity is described. Considering the alterations in neurotransmitters and neuropeptides, neural networks in the hippocampus, hypothalamus, thalamus and cortex are described. The mechanisms of action of some recently developed antiepileptic drugs are addressed. In sum, a multimodal antiepileptic pharmacotherapy acting at several specific subreceptors is suggested. We recommend the development of an antiepileptic drug, that exerts simultaneously a GABAA agonistic and an NMDA antagonistic effect.
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks

In this paper, we describe a system (CGSRC) for classifying four semantic relations: synonym, hypernym, antonym and meronym using convolutional neural networks (CNN). We have participated in CogALex-V semantic shared task of corpus-based identification of semantic relations. Proposed approach using CNN-based deep neural networks leveraging pre-compiled word2vec distributional neural embeddings achieved 43.15% weighted-F1 accuracy on subtask-1 (checking existence of a relation between two terms) and 25.24% weighted-F1 accuracy on subtask-2 (classifying relation types).
Transformation Volume Effects on Shape Memory Alloys

It is generally accepted that the martensitic transformations (MTs) in the shape memory alloys (SMAs) are mainly characterized by the shear deformation of the crystal lattice that arises in the course of MT, while a comparatively small volume change during MT is considered as the secondary effect, which can be disregarded when the basic characteristics of MTs and functional properties of SMAs are analyzed. This point of view is a subject to change nowadays due to the new experimental and theoretical findings. The present article elucidates (i) the newly observed physical phenomena in different SMAs in their relation to the volume effect of MT; (ii) the theoretical analysis of the aforementioned volume-related phenomena.
Mathematical Morphology in Any Color Space

In this paper, a new graph-based ordering of color vectors is presented for mathematical morphology purposes. An attractive propoerty of the proposed ordering is its color space independence. A complete graph is defined over a filter window and its structure is analyzed to construct an ordering of color vectors by finding a Hamiltonian path in a two-step algorithm.
Distributed Detection Over Adaptive Networks Using Diffusion Adaptation

We study the problem of distributed detection, where a set of nodes is required to decide between two hypotheses based on available measurements. We seek fully distributed and adaptive implementations, where all nodes make individual real-time decisions by communicating with their immediate neighbors only, and no fusion center is necessary. The proposed distributed detection algorithms are based on diffusion strategies [C. G. Lopes and A. H. Sayed, “Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis,” IEEE Trans. Signal Process. , vol. 56, no. 7, pp. 3122-3136, July 2008; F. S. Cattivelli and A. H. Sayed, “Diffusion LMS Strategies for Distributed Estimation,” IEEE Trans. Signal Process. , vol. 58, no. 3, pp. 1035-1048, March 2010; F. S. Cattivelli, C. G. Lopes, and A. H. Sayed, “Diffusion Recursive Least-Squares for Distributed Estimation Over Adaptive Networks,” IEEE Trans. Signal Process. , vol. 56, no. 5, pp. 1865-1877, May 2008] for distributed estimation. Diffusion detection schemes are attractive in the context of wireless and sensor networks due to their scalability, improved robustness to node and link failure as compared to centralized schemes, and their potential to save energy and communication resources. The proposed algorithms are inherently adaptive and can track changes in the active hypothesis. We analyze the performance of the proposed algorithms in terms of their probabilities of detection and false alarm, and provide simulation results comparing with other cooperation schemes, including centralized processing and the case where there is no cooperation. Finally, we apply the proposed algorithms to the problem of spectrum sensing in cognitive radios.
Clumsy packings with polyominoes

For a set D of polyominoes, a packing of the plane with D is a maximal set of copies of polyominoes from D that are not overlapping. A packing with smallest density is called clumsy packing. We give an example of a set D such that any clumsy packing is aperiodic. In addition, we compute the smallest possible density of a clumsy packing when D consist of a single polyomino of a given size and show that one could always construct a periodic packing arbitrarily close in density to the clumsy packing.
Design of Robust and High-Performance 1-Bit CMOS Full Adder for Nanometer Design

Full-adders are the core element of the complex arithmetic circuits like addition, multiplication, division and exponentiation. Regarding to this importance, new idea and investigations for constructing full-adders are required. As far as related literature is concerned, generality and ease of use, as well as voltage and transistor scaling are considerable advantages of CMOS logic design versus other design style such as CPL specially when cell-based design are targeted. This paper proposes a novel, symmetric and efficient design for a CMOS 1-bit full-adder. Besides, another fully symmetric full-adder has been presented. Results and simulations demonstrate that the proposed design leads to an efficient full-adder in terms of power consumption, delay and area in comparison to a well-known conventional full-adder design. The post-layout simulations have been done by HSPICE with nanometer scale transistors considering all parasitic capacitors and resistors.
DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique—an extension to complex-valued signals

This paper presents a novel training-based adaptive linear receiver to suppress the multiple access interference, which has been one of the central issues in DS/CDMA wireless communication systems. The proposed receiver is derived by extending the Krylov-proportionate normalized least-mean-square (KPNLMS) algorithm to complex-valued signals. The key idea of KPNLMS is (a) sparse representation of the minimum mean square error (MMSE) receiver based on a certain Krylov subspace, (b) use of the dasiasparsitypsila for fast convergence, and (c) simplification to keep linear complexity per iteration. To clarify the convergence properties of the proposed receiver, its derivation from the variable-metric version of the adaptive projected subgradient method (V-APSM) is presented. The simulation results demonstrate the efficacy of the proposed receiver.
The Efficacy of Shen Shuaining Capsule on Chronic Kidney Disease: A Systematic Review and Meta-Analysis

Objective. To evaluate the efficacy of Shen shuaining capsule on treating chronic kidney disease (CKD). Methods. All randomized controlled trials (RCTs) of Shen shuaining capsule in treating CKD were collected from CBM, CNKI, VIP, Wanfang, EMBASE, MEDLINE, PubMed, and Cochrane library clinical controlled trials database. Two reviewers independently performed analysis of the included trials according to the inclusion and exclusion criteria. The risk of bias tool was from the Cochrane Handbook version 5.1. 0. The Review Manager 5.2 software was employed for data analysis. Funnel plot and Egger's test were applied to evaluate publication bias. Results. 20 studies including 1606 participants met the inclusion criteria, most of which were of low quality. Meta-analysis indicated that Shen shuaining capsule was effective for CKD in terms of SCR, BUN, Hb, and response rate and with less adverse effects, of which SCR and BUN decreased significantly (MD = −84.72, 95% CI: −107.36, −62.07, P < 0.00001) (MD = −4.30, 95% CI: −5.71, −2.89, P < 0.00001); Hb and response rate increased significantly (MD = 9.94, 95% CI: 9.24, 10.64, P < 0.00001) (OR = 4.25, 95% CI (3.32, 5.42), P < 0.00001). Conclusion. Shen shuaining capsule significantly reduced SCR and BUN, increased HB, and improved total efficiency of the symptoms and signs in patients with CKD. Subgroup analysis found that Shen shuaining capsule group was better than control group. Due to low quality of the methodology of included studies, further high-quality researches were needed to study its efficacy and safety.
Breast cancer incidence and menopausal hormone therapy in Norway from 2004 to 2009: a register-based cohort study

In Norway, the breast cancer incidence increased by 50% in the 1990s, during a period with initiation of mammography screening as well as a fourfold increase in use of menopausal hormone therapy (HT). After 2002, the HT use has dropped substantially; however, the breast cancer incidence has declined only marginally. How much mammography screening contributed to the breast cancer incidence increase in the 1990s compared with HT use and specifically different types of HT use, has thus been discussed. Whether HT affects the incidence of subtypes of breast cancer differently has also been questioned. We have linked individual data from several national registries from 2004 to 2009 on 449,717 women aged 50–65 years. 4597 cases of invasive cancer and 681 cases of ductal carcinoma in situ (DCIS) were included in the analysis. We used Cox regression to estimate hazard ratio (HR) as a measure of the relative risk of breast cancer associated with use of HT. The HRs associated with prescriptions of HT for more than 1 year were 2.06 (1.90–2.24) for estrogen and progesterone combinations, 1.03 (0.85–1.25) for systemic estrogens, and 1.23 (1.01–1.51) for tibolone. Invasive lobular carcinoma was more strongly associated with use of estrogen and progesterone combinations, HR = 3.10 (2.51–3.81), than nonlobular carcinoma, HR = 1.94 (1.78–2.12). The corresponding value for DCIS was 1.61 (1.28–2.02). We estimated the population attributable fraction to 8.2%, corresponding to 90 breast cancer cases in 2006 indicating that HT use still caused a major number of breast cancer cases.
PPARδ Agonism for the Treatment of Obesity and Associated Disorders: Challenges and Opportunities

The prevalence of obesity in the USA and worldwide has reached epidemic proportions during the last two decades. Drugs currently available for the treatment of obesity provide no more than 5% placebo-adjusted weight loss and are associated with undesirable side effects. Peroxisome proliferator-activated receptor (PPAR) modulators offer potential benefits for the treatment of obesity and its associated complications but their development has been complicated by biological, technical, and regulatory challenges. Despite significant challenges, PPAR modulators are attractive targets for the treatment of obesity and could offer a viable alternative to the millions of patients who fail to lose weight following rigorous dieting and exercise protocols. In addition, PPAR modulators have the potential-added benefit of ameliorating the associated comorbidities.
Overshadowing between two contextual stimuli in rats.

The purpose of this experiment was to investigate whether overshadowing occurred between two contextual stimuli (light and tone) in Pavlovian conditioning of rats. Thirty-two albino rats, randomly assigned to four groups, were individually placed in a chamber, in which light, tone or both served as contextual stimuli. A single electric shock mA, 2-s) was delivered to the floor during once-a-day 5 min sessions for 5 consecutive days (conditioning phase). The day after finishing the conditioning phase, each was placed for 5 min in the chamber, and light or tone was presented as a contextual stimulus (test phase). The group of rats exposed to both stimuli during the conditioning sessions but to light only during the test session (LT/L) froze less frequently in the test phase than in the conditioning phase. The other three groups (LT/T, T/T, and L/L) froze in the test phase as frequently as in the conditioning phase. These results suggest that the tone overshadowed a light when both of them were presented together as contextual stimuli of conditioning.