Miracle-dz/UniFAR-FTUs huggingface dataset:
Compact Highly Integrated Planar Duplex Antenna for Wireless Communications

This paper proposes a novel concept of an integrated duplex antenna for realizing a compact multifunction RF front end by integrating a duplexer and a dual-band patch antenna. First, an all-resonator-based duplexer is designed. It is composed of two sets of split-ring resonators as channel filters, which are joined by a dual-mode stub-loaded resonator as the junction resonator. Then, a novel dual-band patch antenna is achieved by coupling a patch with a hairpin resonator through a slot in the ground. Uniform radiation characteristics have been achieved across the two bands. Finally, the duplexer is integrated with the dual-band patch antenna to form a highly integrated duplex antenna by coupling the hairpin resonator to the junction resonator of the duplexer directly. In this process, the 50-Omega interface and matching network between them are removed, contributing to a compact footprint. The details of codesign approach have been discussed in this paper. Compared with the traditional cascaded duplexer and antennas, this paper is much more compact and integrated but with an improved frequency response. A prototype of an integrated duplex antenna at S-band is fabricated and measured, showing two operation channels of 2.52-2.65 GHz for transmitting and 2.82-2.94 GHz for receiving with an isolation of over 32 dB. The measured results agree well with the simulation results.
Leanna Stiefel Amy Ellen Schwartz Ingrid Gould Ellen Disentangling the Racial Test Score Gap : Probing the Evidence in a Large Urban School District

We examine the size and distribution of the gap in test scores across races within New York City public schools and the factors that explain these gaps. While gaps are partially explained by differences in student characteristics, such as poverty, differences in schools attended are also important. At the same time, substantial within-school gaps remain and are only partly explained by differences in academic preparation across students from different race groups. Controlling for differences in classrooms attended explains little of the remaining gap, suggesting little role for within-school inequities in resources. There is some evidence that school characteristics matter. Race gaps are negatively correlated with school size—implying small schools may be helpful. In addition, the trade-off between the size and experience of the teaching staff in urban schools may carry unintended consequences for within-school race gaps. © 2006 by the Association for Public Policy Analysis and Management
Evaluation intégrée des mesures agro-environnementales territorialisées à enjeu "qualité des eaux" sur la période 2007 à 2011 : le projet MAEVEAU

La recherche conduite dans le projet MAEVEAU a developpe une demarche d'evaluation integree de l'efficacite des Mesures Agro-Environnementales Territorialisees (MAET) a enjeu preservation de la qualite de l'eau vis-a-vis des pesticides sur la periode 2007 a 2011. La question scientifique traite le concept d'efficacite de la politique en s'appuyant sur une triangulation des approches: une evaluation de l'impact (c'est-a-dire des effets propres de la politique), une evaluation cout-efficacite environnementale et une evaluation du role des facteurs organisationnels dans le processus d'adhesion. L'impact est evalue par une approche quasi-experimentale par contrefactuel et questionne l'adaptation de la methode du matching a la territorialisation des MAET. L'analyse cout-efficacite s'appuie sur une modelisation integree spatialisee couplant modele agro-hydrologique, indicateurs pesticides spatialises et optimisation economique des marges brutes. L'efficacite des facteurs organisationnels s'est interessee aux couts de transaction, au role de l'action collective et aux preferences pour des contrats alternatifs.
Dynamic NMR and ab initio studies of exchange between rotamers of derivatives of octahydrofuro[3,4‐f]isoquinoline‐7(1H)‐carboxylate and tetrahydro‐2,5,6(1H)‐isoquinolinetricarboxylate

The 1H and 13C NMR spectra of methyl‐8‐(2‐furyl)‐5‐methyl‐1,3‐dioxo‐3,3a,4,6,8,9,9a,9b‐octahydrofuro[3,4‐f]isoquinoline‐7(1H)‐carboxylate (1) and trimethyl 8‐methyl‐3‐phenyl‐3,4,4a,7‐tetrahydro‐2,5,6(1H)‐isoquinolinetricarboxylate (2) at room temperature displayed doubling of the majority of signals, suggesting the presence of two rotational conformers (rotamers) in a ratio ∼1:1.2 (in a mixture of CDCl3 and C6D6), ∼1:1 (in CD2Cl2) and ∼1:1.4 (in C6D6). On the basis of the temperature‐dependent 1H NMR spectra of 1 and 2, the barrier to interconversion of the rotamers was calculated to be ∼16 kcal mol−1. The average chemical shifts and spin–spin coupling constants were analyzed for the resolution‐enhanced 300 MHz 1H NMR spectrum of 1 at 333 K in CDCl3 solution. From analysis of the spin–spin coupling constants, it is proposed that the nitrogen‐containing ring is in a chair conformation with C‐2—H equatorial. Low‐ and room‐temperature NOESY experiments in conjunction with theoretical ab initio calculations supported the hypothesis that the two rotamers interchange via rotation about the C—N bond. Spectral assignments of all proton and carbon resonances were made on the basis of one‐ and two‐dimensional NMR experiments (DEPT, DQCOSY, NOESY, HETCOR and gHMBC). Copyright © 2003 John Wiley & Sons, Ltd.
5.6 A 420µW 100GHz-GBW CMOS Programmable-Gain Amplifier leveraging the cross-coupled pair regeneration

Cross-coupled pairs are certainly among the most widely adopted fundamental circuits still in use today. This elegant device arrangement yields broadband positive feedback with high gain and low power, desirable features both in analog and digital applications [1]. Its small signal properties are consistently leveraged in oscillators, impedance negators and to boost gain of transconductors, while the bistable behavior is exploited in static latches and memory cells. Traditionally, the regeneration capability is leveraged in the design of sense amplifiers and high-speed comparators. In this work, we investigated the performance of the cross-coupled pair for discrete-time linear amplification and we show that its regeneration feature proves to be attractive for implementing Programmable-Gain Amplifiers (PGAs).
Metric Learning for Music Symbol Recognition

Although Optical Music Recognition (OMR) has been the focus of much research for decades, the processing of handwritten musical scores is not yet satisfactory. The efforts made to find robust symbol representations and learning methodologies have not found a similar quality in the learning of the dissimilarity concept. Simple Euclidean distances are often used to measure dissimilarity between different examples. However, such distances do not necessarily yield the best performance. In this paper, we propose to learn the best distance for the k-nearest neighbor (k-NN) classifier. The distance concept will be tuned both for the application domain and the adopted representation for the music symbols. The performance of the method is compared with the support vector machine (SVM) classifier using both real and synthetic music scores. The synthetic database includes four types of deformations inducing variability in the printed musical symbols which exist in handwritten music sheets. The work presented here can open new research paths towards a novel automatic musical symbols recognition module for handwritten scores.
Defining the phenotype of young healthy nucleus pulposus cells: Recommendations of the Spine Research Interest Group at the 2014 annual ORS meeting

Low back pain is a major physical and socioeconomic problem. Degeneration of the intervertebral disc and especially that of nucleus pulposus (NP) has been linked to low back pain. In spite of much research focusing on the NP, consensus among the research community is lacking in defining the NP cell phenotype. A consensus agreement will allow easier distinguishing of NP cells from annulus fibrosus (AF) cells and endplate chondrocytes, a better gauge of therapeutic success, and a better guidance of tissue‐engineering‐based regenerative strategies that attempt to replace lost NP tissue. Most importantly, a clear definition will further the understanding of physiology and function of NP cells, ultimately driving development of novel cell‐based therapeutic modalities. The Spine Research Interest Group at the 2014 Annual ORS Meeting in New Orleans convened with the task of compiling a working definition of the NP cell phenotype with hope that a consensus statement will propel disc research forward into the future. Based on evaluation of recent studies describing characteristic NP markers and their physiologic relevance, we make the recommendation of the following healthy NP phenotypic markers: stabilized expression of HIF‐1α, GLUT‐1, aggrecan/collagen II ratio >20, Shh, Brachyury, KRT18/19, CA12, and CD24. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:? –? , 2015.
The relationships between electrical and mechanical events in rabbit aortic strips.

This study was undertaken in an attempt to measure electrical changes and mechanical response in the rabbit aortic strip and to gain some insight into the relationship between mechanical and electrical events in a large mammalian blood vessel. An external electrode technique was used to measure potential changes. Simultaneous tension changes were recorded by means of a strain gauge transducer. It was found that isotonic potassium chloride Ringer9s solution produced membrane depolarization of 9.6 ± 0.5 mV followed by contraction and an artifacual (junctional) potential of 1.9 ± 02 mV. Epinephrine (1 µg/ml) produced an immediate contraction followed by membrane hyperpolarization of 8.6 ± 1.0 mV. Angiotensin produced immediate contraction but no potential changes. Ca-free Ringer9s solution produced depolarization and either no tension changes or relaxation. It was concluded that mechanical events may occur independently of changes in the resting membrane potential in the rabbit aortic strip.
Effects of myocardial fibrosis and ventricular dyssynchrony on response to therapy in new-presentation idiopathic dilated cardiomyopathy: insights from cardiovascular magnetic resonance and echocardiography.

AIMS To determine whether the extent of myocardial fibrosis by late-gadolinium enhancement cardiovascular magnetic resonance (LGE-CMR), and echocardiographic ventricular dyssynchrony are independently associated with response to medical therapy in patients with newly diagnosed idiopathic dilated cardiomyopathy (DCM). Myocardial fibrosis and ventricular dyssynchrony are frequent findings in DCM. Previous studies focused on patients with established cardiomyopathy; however, the degree of myocardial fibrosis and ventricular dyssynchrony at presentation and their role in perpetuating left ventricular (LV) dysfunction in DCM remains unclear. Those studies of individuals with long-standing DCM did not characterize patients early in the disease course, and may not have included those with significant improvement in LV function. Thus factors contributing to LV recovery are uncertain. METHODS AND RESULTS Consecutive patients with a new diagnosis of DCM [LV ejection fraction (EF) ≤45%] made within the preceding 2 weeks were recruited. Patients underwent LGE-CMR, echocardiography, 6-minute walk testing, cardiopulmonary exercise testing, and blood sampling for measurement of serum amino-terminal pro-brain natiuretic peptide (NT-pro-BNP) concentration at baseline. Baseline patient characteristics were compared with a cohort of healthy volunteers. Myocardial fibrosis by LGE-CMR was quantified, identified by experienced observers blinded to patient outcome. Left ventricular systolic function was reassessed after 5 months of optimal medical therapy. Sixty-eight patients with DCM and 19 healthy volunteers were studied. DCM patients were studied a median 12.5 days following diagnosis. Compared with healthy controls, DCM patients exhibited greater inter- and intra-ventricular dyssynchrony. Twenty-four per cent of DCM patients exhibited LGE at diagnosis. Among DCM patients with LGE, the mean fibrosis mass was 2.2 ± 1.3 g. On multivariate analysis, strain dyssynchrony index, and fibrosis mass were independently associated with change in the LVEF over time (P≤ 0.001). Late-gadolinium enhancement cardiovascular magnetic resonance conferred additive value for modelling change in the LVEF beyond clinical and echocardiographic dyssynchrony parameters. CONCLUSION The extent of myocardial fibrosis is independently associated with lack of response to medical therapy in new-presentation DCM, and LGE-CMR may thus be an important risk-stratifying investigation in these patients. Accurate risk stratification may permit more targeted pharmacological and device therapies for patients with newly diagnosed DCM.
A two-way process: the client–keyworker relationship and its dynamics in coercive drug treatment1

Abstract Relationships between client and professional have proved to be an important factor for treatment outcome and for how clients perceive and estimate the help. In this article, we aimed to explore the character and emotional quality of the relationship between client and keyworker, and the conditions for treatment collaboration, in coercive drug treatment. The data was obtained from a larger research project, conducted in Sweden 2005–2009 at four residential treatment centres for coercive care. The article is based on pairwise analyses of qualitative interviews with 16 clients and their keyworkers. By comparing both parties’ perspectives on their on-going relationship we identified three patterns that capture the studied relationships’ character and emotional quality: the ‘friendly and trustful relationship’, the ‘polite and neutral relationship’ and the ‘ambivalent and conflicted relationship’. The findings show that the key dimensions of interaction were (1) the clients and keyworkers expectations, (2) the meaning they ascribe to each other, the actions exchanged and the situation they are in, (3) contextual factors as they appear in everyday life at the centre and (4) how the clients and the keyworkers, individually and together, deal with the tensions and role conflicts embedded in the situation.
Exploring online fitness culture and young females

Abstract While previous studies have investigated online health communities and health-seeking behaviours, less attention has been directed at the growing impact of the online fitness movement. This paper draws on the concept of biopedagogies to examine the messages transmitted within fitness culture on social networking sites (SNSs), and their role as a channel for health and fitness information. To explore this, a multi-method approach was conducted. The two methods included a netnography (online ethnography) and 22 semi-structured individual interviews with female participants aged 18–24 in Australia. The study suggests that online fitness use is becoming a popular leisure activity and source of health and fitness information. It reveals how SNSs are used as a platform to gather and teach ideas of health and fitness, and the manner in which textual and photographic online communication facilitates the social construction and transmission of this knowledge. Results indicated that although fitness accounts on SNSs offer differing notions to present alternative and competing realities, users predominantly chose to follow the normalised and dominant health discourses. Noteworthy, the onus is firmly placed on the individual within these health and fitness messages to adhere to norms of correct health practices and choices. This has connotations relevant to eHealth literacy.
Adult nutrient intake as a risk factor for Parkinson's disease.

BACKGROUND This population-based case-control study evaluated nutrient intake as a risk factor for Parkinson's disease (PD) among people aged > or =50 years in metropolitan Detroit. METHODS Cases (n = 126) were diagnosed between 1991 and 1995 and neurologist-confirmed. Controls (n = 432) were frequency-matched for sex, age (+/-5 years) and race. Using a standardized food frequency questionnaire, subjects reported the foods they ate within the past year. RESULTS Estimating the association between PD and risk of being in the highest versus the lowest intake quartile, there were elevated odds ratios for total fat (OR 1.94, 95% confidence interval [CI] : 1.05-3.58), cholesterol (OR 2.11, 95% CI: 1.14-3.90), lutein (OR 2.52, 95% CI: 1.32-4.84) and iron (OR 1.88, 95% CI: 1.05-3.38). CONCLUSIONS These results suggest an association of PD with high intake of total fat, saturated fats, cholesterol, lutein and iron.
Precision Interfaces

Building interactive tools to support data analysis is hard because it is not always clear what to build and how to build it. To address this problem, we present Precision Interfaces, a semi-automatic system to generate task-specific data analytics interfaces. Precision Interface can turn a log of executed programs into an interface, by identifying micro-variations between the programs and mapping them to interface components. This paper focuses on SQL query logs, but we can generalize the approach to other languages. Our system operates in two steps: it first build an interaction graph, which describes how the queries can be transformed into each other. Then, it finds a set of UI components that covers a maximal number of transformations. To restrict the domain of changes to be detected, our system uses a domain-specific language, PILang. We give a full description of Precision Interface's components, showcase an early prototype on real program logs and discuss future research opportunities.
Riemannian Analysis of Probability Density Functions with Applications in Vision

Applications in computer vision involve statistically analyzing an important class of constrained, non-negative functions, including probability density functions (in texture analysis), dynamic time-warping functions (in activity analysis), and re-parametrization or non-rigid registration functions (in shape analysis of curves). For this one needs to impose a Riemannian structure on the spaces formed by these functions. We propose a "spherical" version of the Fisher-Rao metric that provides closed-form expressions for geodesies and distances, and allows fast computation of sample statistics. To demonstrate this approach, we present an application in planar shape classification.
Daily Reservoir Inflow Forecasting Using Time Delay Artificial Neural Network Models

Accurate real-time reservoir inflow forecasting is an important requirement for operation, scheduling and planning conjunctive use in any basin. In this study, Time Delay Artificial Neural Network (TDANN) models, which are time lagged feed-formatted networks with delayed memory processing elements at the input layer, are applied to forecast the daily inflow into a planned Reservoir (Almopeos River basin) in Northern Greece. The network topology is using multiple inputs, which include the one time lagged daily reservoir inflow values and the time lagged daily precipitation values from three meteorological stations which are inside the Almopeos river basin and a single output, which are the daily reservoir inflow values. The choice of the precipitation input variables introduced to the input layer was based on the cross-correlation. In the forecasting part of this study, predictions of one day ahead were investigated. The training of ANNs suitable for the current application is the cascade correlation algorithm. Kalman's learning rule was used to modify the artificial neural network weights. The networks are designed by putting weights between neurons, by using the hyperbolic-tangent function for training. The results show a good performance of the TDANN approach and demonstrate its adequacy and potential for forecasting daily reservoir inflow.
Plasticity in self-assembly: templating generates functionally different circuits from a single precursor.

The fabrication of microelectronic circuits now follows a strict, deterministic, top-down plan, and relies on the massive parallelism of photolithography to produce multiple replicates of a device. Neural circuits follow an adaptive, bottomup plan, and assemble themselves of individual components— cells—following a combination of internal program and external guidance. The work we report herein is an initial step towards a strategy for the fabrication of electrical circuits that also relies on a combination of self-assembly and external guidance. We demonstrate the self-assembly of mm-sized components into 3D aggregates that have structures and patterns of electrical connections determined by the shape of a template—that is, by the geometry of the volume in which the self-assembly proceeds. The components carry lightemitting diodes (LEDs), used as surrogates for more complex microelectronic devices, connected to solder-covered pads. The solder connecting these components—when liquid—acts through capillary interactions to drive the self-assembly of the components, and—when solid—establishes electrical and mechanical connections between selected LEDs. Self-assembly in containers of different shape generates topologically different 3D structures—helices, zigzags, and combinations of the two; these structures have different patterns of electrical connections among the LEDs. Self-assembly based on capillary interactions between solder drops has been used to generate aggregates having a single structure and function. Templating has also been used to bring designed asymmetry to self-assembled aggregates. In this work we use templating to control the pattern of electrically functional connections among selfassembled components. Our strategy is to use components that—in the absence of restrictions imposed by a template— self-assemble with equal probability into two different configurations; each of these configurations generates a distinct set of electrical connections between the components. The geometry of the volume available for self-assembly templates the 3D structure of the aggregates, and thus determines the
Mixed-mode oscillations and interspike interval statistics in the stochastic FitzHugh–Nagumo model

We study the stochastic FitzHugh–Nagumo equations, modelling the dynamics of neuronal action potentials in parameter regimes characterized by mixed-mode oscillations. The interspike time interval is related to the random number of small-amplitude oscillations separating consecutive spikes. We prove that this number has an asymptotically geometric distribution, whose parameter is related to the principal eigenvalue of a substochastic Markov chain. We provide rigorous bounds on this eigenvalue in the small-noise regime and derive an approximation of its dependence on the system's parameters for a large range of noise intensities. This yields a precise description of the probability distribution of observed mixed-mode patterns and interspike intervals.
Anticonvulsant activity and effects of sodium dipropylacetate on cerebral 5-hydroxytryptamine and gamma-aminobutyric acid in reserpinized mice.

The anticonvulsant activity of sodium dipropylacetate (DPA) and its effects on the cerebral 5-hydroxytryptamine (5HT) and γ-aminobutyric acid (GABA) metabolisms in the reserpinized mice have been studied to know the mechanism of action of DPA. The results are as follows ; 1. DPA elevated the turnover of the cerebral 5HT and the content of the cerebral 5-hydroxyindoleacetic acid. Phenobartital sodium (PB) showed no effects. 2. DPA elevated the cerebral GABA content in the reserpinized mice. 3. In maximal electroshock seizure, the seizure-protecting activities of DPA and PB were lower in the reserpinized mice than in the normal. 4. In pentylenetetrazole seizure, the seizure-protecting activity of DPA in the reserpinized mice was the same as in the normal. In combined administration, L-di-hydroxyphenylalanine decreased the activity of DPA in the reserpinized mice. The activity of PB decreased in the reserpinized mice. From these results, it was suggested that DPA showed the anticonvulsant activity partially through its effect on the cerebral metabolism of 5HT as well as GABA.