Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution of Downlink SINR in Heterogeneous Cellular Networks

The Signal to Interference Plus Noise Ratio (SINR) on a wireless link is an important basis for consideration of outage, capacity, and throughput in a cellular network. It is therefore important to understand the SINR distribution within such networks, and in particular heterogeneous cellular networks, since these are expected to dominate future network deployments . Until recently the distribution of SINR in heterogeneous networks was studied almost exclusively via simulation, for selected scenarios representing pre-defined arrangements of users and the elements of the heterogeneous network such as macro-cells, femto-cells, etc. However, the dynamic nature of heterogeneous networks makes it difficult to design a few representative simulation scenarios from which general inferences can be drawn that apply to all deployments. In this paper, we examine the downlink of a heterogeneous cellular network made up of multiple tiers of transmitters (e.g., macro-, micro-, pico-, and femto-cells) and provide a general theoretical analysis of the distribution of the SINR at an arbitrarily-located user. Using physically realistic stochastic models for the locations of the base stations (BSs) in the tiers, we can compute the general SINR distribution in closed form. We illustrate a use of this approach for a three-tier network by calculating the probability of the user being able to camp on a macro-cell or an open-access (OA) femto-cell in the presence of Closed Subscriber Group (CSG) femto-cells. We show that this probability depends only on the relative densities and transmit powers of the macro- and femto-cells, the fraction of femto-cells operating in OA vs. Closed Subscriber Group (CSG) mode, and on the parameters of the wireless channel model. For an operator considering a femto overlay on a macro network, the parameters of the femto deployment can be selected from a set of universal curves.
GroupLink: Group Event Recommendations Using Personal Digital Traces

We present GroupLink, a group event recommendation system that suggests events to promote group members' face-to-face interactions in non-work settings. GroupLink addresses the challenge of finding events that appeal to a collection of individuals with diverse interests. The system mitigates the difficulties of identifying and tracking group members' preferences through analyzing and learning pref-erences from individual member's personal digital traces, including social media, email, and online streaming histo-ries. It is a web-based service that can be easily accessed using diverse devices, and is particularly suited for enhanc-ing interpersonal interactions in CSCW.
The Organization of Role-Relationships: A Systematic Description

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Zero No-Load Power AC/DC Adapter for Electronic Equipment With Embedded Battery

A zero no-load power (ZNP) ac/dc adapter for electronic equipment with an embedded battery is proposed in this letter. The embedded battery is used as a signal source for the detection of load connection. Depending on the signal of load connection, an operation of the proposed ZNP ac/dc adapter is determined. When the proposed adapter is connected with a load system, the operation of the proposed adapter is the same as that of the conventional ac/dc adapter. While the proposed adapter is disconnected from the load system, the overall proposed adapter is totally turned off. Therefore, the proposed adapter can achieve ZNP consumption. To verify the validity of the proposed adapter, loss analysis and experimental results of 65 W are presented.
Mental rotation of body parts and sensory temporal discrimination in fixed dystonia

Fixed dystonia is an uncommon but severely disabling condition typically affecting young women following a minor peripheral injury. There is no evidence of any structural lesions of the central nervous system nor any clear peripheral nerve or root damage. Electrophysiological techniques such as short intracortical inhibition, cortical silent period and a plasticity inducing protocol have revealed similarities but also differences compared to classical mobile dystonia. To further explore the pathophysiology of fixed dystonia we compared mental rotation of body parts and sensory temporal discrimination in 11 patients with fixed dystonia, 11 patients with classical mobile dystonia and 10 healthy controls. In the mental rotation task subjects were presented with realistic photos of left or right hands, feet and the head of a young women with a black patch covering the left or the right eye in six different orientations. Subjects had to verbally report the laterality of the presented stimuli. To assess sensory temporal discrimination subjects were asked to discriminate whether pairs of visual, tactile (electrical), or visuo‐tactile stimuli were simultaneous or sequential (temporal discrimination threshold) and in the latter case which stimulus preceded the other (temporal order judgement). In accordance with previous studies patients with mobile dystonia were abnormal in mental rotation and temporal discrimination, whereas patients with fixed dystonia were only impaired in mental rotation. Possible explanations for this deficit may include the influence of the abnormal body posture itself, a shared predisposing pathophysiology for mobile and fixed dystonia, or a body image disturbance. These findings add information to the developing pathophysiological picture of fixed dystonia. © 2010 Movement Disorder Society
Program Phase-Aware Dynamic Voltage Scaling Under Variable Computational Workload and Memory Stall Environment

Most complex software programs are characterized by program phase behavior and runtime distribution. Dynamism of the two characteristics often makes the design-time workload prediction difficult and inefficient. Especially, memory stall time whose variation is significant in memory-bound applications has been mostly neglected or handled in a too simplistic manner in previous works. In this paper, we present a novel online dynamic voltage and frequency scaling (DVFS) method which takes into account both program phase behavior and runtime distribution of memory stall time, as well as computational workload. The online DVFS problem is addressed in two ways: intraphase workload prediction and program phase detection. The intraphase workload prediction is to predict the workload based on the runtime distribution of computational workload and memory stall time in the current program phase. The program phase detection is to identify to which program phase the current instant belongs and then to obtain the predicted workload corresponding to the detected program phase, which is used to set voltage and frequency during the program phase. The proposed method considers leakage power consumption as well as dynamic power consumption by a temperature-aware combined Vdd/Vbb scaling. Compared to a conventional method, experimental results show that the proposed method provides up to 34.6% and 17.3% energy reduction for two multimedia applications, MPEG4 and H.264 decoder, respectively.
Minimal models of cooling neutron stars with accreted envelopes

We study the ‘minimal’ cooling scenario of superfluid neutron stars with nucleon cores, where the direct Urca process is forbidden and enhanced cooling is produced by neutrino emission due to the Cooper pairing of neutrons. Extending our recent previous work, we include the effects of surface accreted envelopes of light elements. We employ the phenomenological density-dependent critical temperatures T cp(ρ) and T cnt(ρ )o fsinglet-state proton and tripletstate neutron pairing in a stellar core, as well as the critical temperature T cns(ρ )o fsinglet-state neutron pairing in a stellar crust. We show that the presence of accreted envelopes simplifies the interpretation of observations of thermal radiation from isolated neutron stars in the scenario of our recent previous work and widens the class of models for nucleon superfluidity in neutron star interiors consistent with the observations. Ke yw ords: stars: evolution ‐ stars: neutron.
Selection using a one-eyed cursor in a fish tank VR environment

This study investigates the use of a 2D cursor presented to one eye for target selection in Fish Tank VR and other stereo environments. It is argued that 2D selection of 3D objects should be less difficult than 3D selection. Vision research concerning binocular rivalry and the tendency we have to project images onto surfaces suggests that this mode of viewing will not seem particularly unnatural. A Fitt's Law experiment was done to directly compare target acquisition with a one-eyed 2D cursor and target acquisition using a 3D cursor. In both cases we used the same input device (Polhemus Fastrak) so that the device lag and gain parameters were exactly matched. The results show a large improvement in target acquisition time using the 2D cursor. The practical implications of this is that the 2D selection method using a one-eyed cursor in preferable to the 3D selection method. Theoretical implications relate to methods for extending Fitts' Law from the one-dimensional task for which it was designed to 2D and 3D tasks. We conclude that the existing approaches to this problem are not adequate.
Evaluation of Glottal Inverse Filtering Algorithms Using a Physiologically Based Articulatory Speech Synthesizer

Glottal inverse filtering aims to estimate the glottal airflow signal from a speech signal for applications such as speaker recognition and clinical voice assessment. Nonetheless, evaluation of inverse filtering algorithms has been challenging due to the practical difficulties of directly measuring glottal airflow. Apart from this, it is acknowledged that the performance of many methods degrade in voice conditions that are of great interest, such as breathiness, high pitch, soft voice, and running speech. This paper presents a comprehensive, objective, and comparative evaluation of state-of-the-art inverse filtering algorithms that takes advantage of speech and glottal airflow signals generated by a physiological speech synthesizer. The synthesizer provides a physics-based simulation of the voice production process and thus an adequate test bed for revealing the temporal and spectral performance characteristics of each algorithm. Included in the synthetic data are continuous speech utterances and sustained vowels, which are produced with multiple voice qualities (pressed, slightly pressed, modal, slightly breathy, and breathy), fundamental frequencies, and subglottal pressures to simulate the natural variations in real speech. In evaluating the accuracy of a glottal flow estimate, multiple error measures are used, including an error in the estimated signal that measures overall waveform deviation, as well as an error in each of several clinically relevant features extracted from the glottal flow estimate. Waveform errors calculated from glottal flow estimation experiments exhibited mean values around 30% for sustained vowels, and around 40% for continuous speech, of the amplitude of true glottal flow derivative. Closed-phase approaches showed remarkable stability across different voice qualities and subglottal pressures. The algorithms of choice, as suggested by significance tests, are closed-phase covariance analysis for the analysis of sustained vowels, and sparse linear prediction for the analysis of continuous speech. Results of data subset analysis suggest that analysis of close rounded vowels is an additional challenge in glottal flow estimation.
Etude des bases neurales structurales et fonctionnelles des troubles cognitifs et de la qualité de vie dans la schizophrénie par imagerie cérébrale multimodale

L’objectif principal de ce travail est de caracteriser par une approche multimodale d’imagerie les bases neurales structurales et fonctionnelles qui sous-tendent les troubles cognitifs et la QV dans la schizophrenie. L’objectif secondaire est de tester la valeur predictive des troubles cognitifs et de la QV pour l’evolution et le fonctionnement dans la schizophrenie.Nous avons d’abord explore les profils d’activation cerebrale au cours d’une tâche de memoire de travail entre des patients qui ont une courte duree d’evolution de la maladie et ceux qui ont une longue duree d’evolution de la maladie. Nous avons retrouve une hyper activation de certaines regions cerebrales chez les patients avec un longue duree d’evolution de la maladie comparativement aux patients avec une courte duree d’evolution. Nous avons ensuite etudie les bases neurales structurales de la QV. Nous avons mis en evidence qu’une QV alteree etait associee a des changements plus importants de la microstructure cerebrale dans des regions alterees par le processus pathologique de la schizophrenie. Nous avons enfin etudie les reseaux cerebraux fonctionnels qui sous-tendent la QV. Nous rapportons que des regions cerebrales impliquees dans la prise de decision, dans le traitement des emotions et dans les cognitions sociales sont liees aux dimensions de la QV.D’une part nos travaux suggerent qu’une reorganisation fonctionnelle dans le reseau cerebral de la memoire de travail joue un role compensateur lors de l’evolution de la schizophrenie. D’autre part, nos resultats laissent supposer que la QV serait l’expression precoce des anomalies cerebrales induites par les processus pathologiques de la schizophrenie.
Gender dysphoria with homosexuality and comorbid depressive disorder: complexities in concept and management

Gender identity disorder (GID) and homosexuality are complex entities debated over decades, whether should be categorized as a disorder or not. There are a number of problems specifically related to the criteria of the GID diagnosis like differences in the terms trans-sexualism and GID, failure of the proposed criteria in conceptualizing the whole spectrum of gender variance phenomena, the potential risk of physically invasive examinations to rule out intersex conditions and the application of diagnosis even after hormonal and surgical treatment. We hereby report complexities faced in the case of a male to female transsexual with homosexuality and depressive disorder and its management.
Familial and Genetic Susceptibility to Major Neonatal Morbidities in Preterm Twins

BACKGROUND. Intraventricular hemorrhage, necrotizing enterocolitis, and bronchopulmonary dysplasia remain significant causes of morbidity and mortality in preterm newborns. OBJECTIVES. Our goal was to assess the familial and genetic susceptibility to intraventricular hemorrhage, necrotizing enterocolitis, and bronchopulmonary dysplasia. METHODS. Mixed-effects logistic-regression and latent variable probit model analysis were used to assess the contribution of several covariates in a multicenter retrospective study of 450 twin pairs born at ≤32 weeks of gestation. To determine the genetic contribution, concordance rates in a subset of 252 monozygotic and dizygotic twin pairs were compared. RESULTS. The study population had a mean gestational age of 29 weeks and birth weight of 1286 g. After controlling for effects of covariates, the twin data showed that 41.3%, 51.9%, and 65.2%, respectively, of the variances in liability for intraventricular hemorrhage, necrotizing enterocolitis, and bronchopulmonary dysplasia could be accounted for by genetic and shared environmental factors. Among the 63 monozygotic twin pairs, the observed concordance for bronchopulmonary dysplasia was significantly higher than the expected concordance; 12 of 18 monozygotic twin pairs with ≥1 affected member had both members affected versus 3.69 expected. After controlling for covariates, genetic factors accounted for 53% of the variance in liability for bronchopulmonary dysplasia. CONCLUSIONS. Twin analyses show that intraventricular hemorrhage, necrotizing enterocolitis, and bronchopulmonary dysplasia are familial in origin. These data demonstrate, for the first time, the significant genetic susceptibility for bronchopulmonary dysplasia in preterm infants.
A Comparison of Passion and Teaching Modality

Research exists that applies the dualistic model of passion to face-to-face teaching, but no research has applied this model to online instruction. Distance education theories imply a need to discover factors contributing to online faculty motivation to engage students. Although there has been extensive exploration of intrinsic and extrinsic motivation to teach online, factors contributing to consistent and optimal teaching behavior has received less attention. There is evidence that the passion construct is independent of both intrinsic and extrinsic motivation. A stratified random sample of online and face-to-face faculty (n = 92) were surveyed using the Passion Scale. The results showed that 95 percent of the sampled online faculty self-identified as passionate for their online instruction. In the between-groups analysis, there were no significant differences in the variables of passion orientation, harmonious passion, and obsessive passion by modality. This research provides a basis for future research of passion in online instruction. In addition, this study adds another dimension for research within distance education theory, providing increased evidence for what motivates online instructors to consistently and effectively engage students.
Anota: Analysis of Differential Translation in Genome-wide Studies

UNLABELLED Translational control of gene expression has emerged as a major mechanism that regulates many biological processes and shows dysregulation in human diseases including cancer. When studying differential translation, levels of both actively translating mRNAs and total cytosolic mRNAs are obtained where the latter is used to correct for a possible contribution of differential cytosolic mRNA levels to the observed differential levels of actively translated mRNAs. We have recently shown that analysis of partial variance (APV) corrects for cytosolic mRNA levels more effectively than the commonly applied log ratio approach. APV provides a high degree of specificity and sensitivity for detecting biologically meaningful translation changes, especially when combined with a variance shrinkage method for estimating random error. Here we describe the anota (analysis of translational activity) R-package which implements APV, allows scrutiny of associated statistical assumptions and provides biologically motivated filters for analysis of genome wide datasets. Although the package was developed for analysis of differential translation in polysome microarray or ribosome-profiling datasets, any high-dimensional data that result in paired controls, such as RNP immunoprecipitation-microarray (RIP-CHIP) datasets, can be successfully analyzed with anota. AVAILABILITY The anota Bioconductor package, www.bioconductor. org.
Comparative Docking Assessment of Glucokinase Interactions with its Allosteric Activators

Glucokinase (GK) is expressed in multiple organs and plays a key role in hepatic glucose metabolism and pancreatic insulin secretion. GK could indeed serve as pacemaker of glycolysis and could be an attractive target for type 2 diabetes (T2D). The recent preclinical data of first GK activator RO-28-1675 has opened up a new field of GK activation as a powerful tool in T2D therapies. The GK allosteric site is located ~20Å away from glucose binding site. Chemical structure of Glucokinase activators (GKA) includes three chemical arms; all consisting of cyclic moiety and joined in a shape resembling the letter Y. In this study, comparative docking assessment using Autodock4 revealed that the three arms bind to three aromatic/hydrophobic subpockets at the allosteric site. Our dockings have overall consistency with experimental data in both docking modes and simulated binding free energies, and offer insights on understanding GK/GKA interactions and further GKA design. Specifically, for the first pocket, involvement of Arg63 as key residue in two specific hydrogen-bond formations with all allosteric activators defines the binding feature; for the second pocket, it has the most diverse binding interactions, mostly aromatic, hydrophobic and multiple hydrogen bonds. The site has the best potential for further GKA optimization by utilizing aromatic heterocycles and hydrogen bond forming linkers to build the GKA 2nd arm.
INFANT mortality in California.

Definition: Number of deaths of children under age 1 per 1,000 live births. Data Source: California Dept. of Public Health, Death Statistical Master Files; CDC, Linked Birth / Infant Death Records on WONDER, and "Deaths: Final Data for 2013. " (Apr. 2015). What It Is Kidsdata.org provides the following measures of infant mortality for the state and California counties:  Infant mortality rate, as three-year averages
Orthogonal Laplacianfaces for Face Recognition

Following the intuition that the naturally occurring face data may be generated by sampling a probability distribution that has support on or near a submanifold of ambient space, we propose an appearance-based face recognition method, called orthogonal Laplacianface. Our algorithm is based on the locality preserving projection (LPP) algorithm, which aims at finding a linear approximation to the eigenfunctions of the Laplace Beltrami operator on the face manifold. However, LPP is nonorthogonal, and this makes it difficult to reconstruct the data. The orthogonal locality preserving projection (OLPP) method produces orthogonal basis functions and can have more locality preserving power than LPP. Since the locality preserving power is potentially related to the discriminating power, the OLPP is expected to have more discriminating power than LPP. Experimental results on three face databases demonstrate the effectiveness of our proposed algorithm