Miracle-dz/UniFAR-FTUs huggingface dataset:
s of a Class of Channel Assign s in Cellular

A cellular network is often modelled as a graph and the channel assignment problem is formulated as a coloring problem of the graph. In this papel; we introduce the notion of cellular graphs that models the hexagonal cell structures of a cellular network. Exploiting the regular structure of the cellular graphs we compute the upper and the lower bounds for a class of channel assignment problems. Assuming a k - band buffering system where the interference does not extend beyond k cells away from the call originating cell, we provide two diflerent formulations of the channel assignment problem - Distance-k Chromatic Number problem and k-Band Chromatic Bandwidth problem. We give one algorithm for the first problem and two for the second, with all three algorithms assigning channels to the cells. The complexity of the algorithm for the first problem is O(p), where p is the number of cells. For the second problem, the complexity of the$rst algorithm is O(p) and the complexity of the second algorithm is O(k510g 5). All the algorithms are asymptotically optimal, in the sense that the order of the upper bound of the number of channels required is the same as the order of the lower bound.
Discriminative Link Prediction Using Local Links, Node Features and Community Structure

A link prediction (LP) algorithm is given a graph, and has to rank, for each node, other nodes that are candidates for new linkage. LP is strongly motivated by social search and recommendation applications. LP techniques often focus on global properties (graph conductance, hitting or commute times, Katz score) or local properties (Adamic-Adar and many variations, or node feature vectors), but rarely combine these signals. Furthermore, neither of these extremes exploit link densities at the intermediate level of communities. In this paper we describe a discriminative LP algorithm that exploits two new signals. First, a co-clustering algorithm provides community level link density estimates, which are used to qualify observed links with a surprise value. Second, links in the immediate neighborhood of the link to be predicted are interpreted %at face value, but through a local model of node feature similarities. These signals are combined into a discriminative link predictor. We evaluate the new predictor using five diverse data sets that are standard in the literature. We report on significant accuracy boosts compared to standard LP methods (including Adamic-Adar and random walk). Apart from the new predictor, another contribution is a rigorous protocol for benchmarking and reporting LP algorithms, which reveals the regions of strengths and weaknesses of all the predictors studied here, and establishes the new proposal as the most robust.
VizSynth: An engine for image video synthesis in traffic-based application

Synthesize a novel scene or object from a given image is widely recognized to be important for more and more lifestyle applications, especially in the traffic-based application, such as synthesis of shadow, snow and fog. In this paper, we address the problem of synthesize novel images. The project aims at developing algorithms and a system to 1) add virtual object to an image seamlessly and 2) change the appearance of objects according to different environment. Specifically, we aim at realizing the following functions in the system: • Synthesize fog in images. • Edit an image to add specified objects into it without notable artifacts. • Add water reflection effects to images. • Synthesize shadow in specified regions in images. • Synthesize a snow scene based on a given image. We implement our system in several novel and widely-used approach. The experiments and applications in real-life also show the results are satisfying
A Real-Time Kinect Signature-Based Patient Home Monitoring System

Assessment of body kinematics during performance of daily life activities at home plays a significant role in medical condition monitoring of elderly people and patients with neurological disorders. The affordable and non-wearable Microsoft Kinect (“Kinect”) system has been recently used to estimate human subject kinematic features. However, the Kinect suffers from a limited range and angular coverage, distortion in skeleton joints’ estimations, and erroneous multiplexing of different subjects’ estimations to one. This study addresses these limitations by incorporating a set of features that create a unique “Kinect Signature”. The Kinect Signature enables identification of different subjects in the scene, automatically assign the kinematics feature estimations only to the subject of interest, and provide information about the quality of the Kinect-based estimations. The methods were verified by a set of experiments, which utilize real-time scenarios commonly used to assess motor functions in elderly subjects and in subjects with neurological disorders. The experiment results indicate that the skeleton based Kinect Signature features can be used to identify different subjects in high accuracy. We demonstrate how these capabilities can be used to assign the Kinect estimations to the Subject of Interest, and exclude low quality tracking features. The results of this work can help in establishing reliable kinematic features, which can assist in future to obtain objective scores for medical analysis of patient condition at home while not restricted to perform daily life activities.
Interplay of Higgs and Sparticle Masses in the CMSSM with updated SUSY constraints

We estimate the bounds on Higgs and sparticle masses and discuss their correlations in the constrained minimal supersymmetric standard model (CMSSM). In our analysis we have applied the present constraints from collider and low energy experiments, as well as the experimental bound on cold dark matter from WMAP. For a given lightest Higgs boson mass, which is expected to be measured with good precision at the LHC, we find important correlations between the Higgs and sparticle masses which allows one to delineate the MSSM model parameters and particle spectra. We have also demonstrated an important complementarity between the LHC and direct dark matter detection experiments emphasizing that by including the experimental input both from collider physics and from dark matter detection experiments, one would significantly improve the measurement of the SUSY spectrum and the underlying parameter space.
Surface counterterms and boundary stress-energy tensors for asymptotically non-anti-de Sitter spaces

For spaces which are not asymptotically anti\char21{}de Sitter space where the asymptotic behavior is deformed by replacing the cosmological constant by a dilaton scalar potential, we show that it is possible to have well-defined boundary stress-energy tensors and finite Euclidean actions by adding appropriate surface counterterms. We illustrate the method by the examples of domain-wall black holes in gauged supergravities, three-dimensional dilaton black holes, and topological dilaton black holes in four dimensions. We calculate the boundary stress-energy tensor and Euclidean action of these black configurations and discuss their thermodynamics. We find new features of topological black hole thermodynamics.
Novel Stereo-Video Quality Metric

We present the design of a new objective metric for evaluating the quality of stereo video. The design process has undergone into two stages. First, specific subjective tests were designed and conducted to facilitate the design of the metric. Then, the metric was designed and validated using the results of the tests. Correspondingly, the report is given into two parts. The first part describes the subjective tests and the second part describes the metric design. The results show that the amount of artefacts in the visual content dominances the experienced quality. The depth influences the experienced quality and 3D was valuated favourably to 2D. However, the amount of artefacts is critical for the experienced quality and the acceptance of the visual output. The results also show that videos with two best QP values (25 and 30) are practically the only acceptable options. The new metric was designed with the aim to provide modules for characterizing the 2D-type and 3D-type of distortions. Specifically, a recent 2D metric abbreviated as PSNRHVS has been selected as the main block to evaluate the 2D type of artefacts, as it proved superior for large classes of distortions. The metric takes into account the contrast sensitivity masking mechanism of the human vision through block-DCT transform-domain masking. The metric was modified to work for smaller blocks (i.e. 4x4) in order to make it more suitable for H.264 encoding applications.
Microelectrical Mechanical Systems Switch for Designing Multi-Band Antenna

Problem statement: In this study Microelectrical Mechanical System (MEMS) switches were proposed to design a reconfigurable/multi-band antenna to replaced PIN diode switches or semiconductor switches due to lower insertion losses, good isolation, much lower intermodulation distortion, and lower power consumption. The antenna is able to operate at very high frequencies. Approach: A reconfigurable antenna that is capable to operate at several frequencies was proposed by introducing two adjacent patches along with main radiating patch and two MEMS switches. Parametric analysis of the size of the wing patches was done for finding optimum size. A comparative study was done for Alumina, SiN, GaAs and Teflon as MEMS bridge materials for finding better results in terms of return loss and number of bands. The design was performed by using 3D electromagnetic simulator HFSS considering ideal MEMS switches. Results: It was found that SiN as MEMS bridge material makes the antenna to operate at 16.76, 23.56 and 27.7 GHz in the "OFF" states and operate at 20.9 and 21.91 GHz in the "ON" states of MEMS switches. Conclusion/Recommendations: MEMS cantilever beam material played an important role for providing antenna to operate at multi-band frequencies. The proposed multiband/reconfigurable antenna can be implemented with easy fabrication process steps by the Sandwich method of fabrication.
Spatio-Temporal Variation in Vegetation Biomass and Its Relationships with Climate Factors in the Xilingol Grasslands, Northern China

Knowledge about grassland biomass and its dynamics is critical for studying regional carbon cycles and for the sustainable use of grassland resources. In this study, we investigated the spatio-temporal variation of biomass in the Xilingol grasslands of northern China. Field-based biomass samples and MODIS time series data sets were used to establish two empirical models based on the relationship of the normalized difference vegetation index (NDVI) with above-ground biomass (AGB) as well as that of AGB with below-ground biomass (BGB). We further explored the climatic controls of these variations. Our results showed that the biomass averaged 99.01 Tg (1 Tg=1012 g) over a total area of 19.6×104 km2 and fluctuated with no significant trend from 2001 to 2012. The mean biomass density was 505.4 g/m2, with 62.6 g/m2 in AGB and 442.8 g/m2 in BGB, which generally decreased from northeast to southwest and exhibited a large spatial heterogeneity. The year-to-year AGB pattern was generally consistent with the inter-annual variation in the growing season precipitation (GSP), showing a robust positive correlation (R2=0.82, P<0.001), but an opposite coupled pattern was observed with the growing season temperature (GST) (R2=0.61, P=0.003). Climatic factors also affected the spatial distribution of AGB, which increased progressively with the GSP gradient (R2=0.76, P<0.0001) but decreased with an increasing GST (R2=0.70, P<0.0001). An improved moisture index that combined the effects of GST and GSP explained more variation in AGB than did precipitation alone (R2=0.81, P<0.0001). The relationship between AGB and GSP could be fit by a power function. This increasing slope of the GSP–AGB relationships along the GSP gradient may be partly explained by the GST–GSP spatial pattern in Xilingol. Our findings suggest that the relationships between climatic factors and AGB may be scale-dependent and that multi-scale studies and sufficient long-term field data are needed to examine the relationships between AGB and climatic factors.
The Impact of Intestinal Parasitic Infections on the Nutritional Status of Rural and Urban School-Aged Children in Nigeria

Objectives Intestinal parasitic infection and undernutrition are still major public health problems in poor and developing countries. The objective of this study was to assess the relationship between intestinal parasitic infection and nutritional status in 405 primary school children from rural and urban areas of Akwa Ibom State, Nigeria. Methods This cross-sectional survey in 2009 obtained anthropometric data, height-for-age (HA), weight-for-height (WH) and weight-for-age (WA) Z-scores from each child and fecal samples were also collected and screened for intestinal parasites using standard parasitological protocols. Results The prevalence of infection with any intestinal parasite was 67.4%. A total of six intestinal parasites were detected; hookworm (41.7%) had the highest prevalence. The prevalence of intestinal parasites and undernutrition was significantly higher in rural than in urban children (P<0.001). The prevalence of stunting (HAZ < -2), underweight (WAZ < -2) and wasting (WHZ < -2) for rural and urban children were 42.3% vs. 29.7%; underweight 43.2% vs. 29.6% and wasting 10.9% vs. 6.4%, respectively. With respect to nutritional indicators, the infected children had significantly (P<0.05) higher z-scores than the uninfected children. Multivariate logistic regression analysis showed that only Hookworm and Ascaris lumbricoides were each significantly (P<0.05) associated with stunting, wasting, and underweight. Conclusions and Public Health Implications Since intestinal parasitic infections are associated with malnutrition, controlling these parasites could increase the physical development and well-being of the affected children.
A hybrid approach with the wavelet transform, modular neural networks and fuzzy integrals for face and fingerprint recognition

In this paper a new approach for pattern recognition using wavelets, modular neural networks and fuzzy logic is presented. A new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces and fingerprints is described. Also, the method for achieving response integration is based on the fuzzy Sugeno integral with some modifications for the particular application. Response integration is required to combine the outputs of all the modules in the modular network. The Wavelet Transform is used for image compression.
Provably Secure Self-Certified Partially Blind Signature Scheme from Bilinear Pairings

To enable the practical electronic cash systems, significant attention has been paid to the partially blind signature because of its unlinkability and unforgeability. To the best of our knowledge, most of partially blind signature schemes are constructed under either the traditional public key certificate based system or the ID-based system, which may incur significant efforts in certification management and/or revocation. In this paper, we introduce a novel approach for partially blind signature with self-certified public keys. This is the first research effort for significantly reducing the certificate management and revocation in partially blind signature, and is characterized by the adoption of bilinear pairings and the analytic techniques of provable security.
Compressibility effects in a turbulent annular mixing layer. Part 1. Turbulence and growth rate

This work uses direct numerical simulations of time evolving annular mixing layers, which correspond to the early development of round jets, to study compressibility effects on turbulence in free shear flows. Nine cases were considered with convective Mach numbers ranging from Mc = 0.1 to 1.8 and turbulence Mach numbers reaching as high as Mt = 0.8. Growth rates of the simulated mixing layers are suppressed with increasing Mach number as observed experimentally. Also in accord with experiments, the mean velocity difference across the layer is found to be inadequate for scaling most turbulence statistics. An alternative scaling based on the mean velocity difference across a typical large eddy, whose dimension is determined by two-point spatial correlations, is proposed and validated. Analysis of the budget of the streamwise component of Reynolds stress shows how the new scaling is linked to the observed growth rate suppression. Dilatational contributions to the budget of turbulent kinetic energy are found to increase rapidly with Mach number, but remain small even at Mc = 1.8 despite the fact that shocklets are found at high Mach numbers. Flow visualizations show that at low Mach numbers the mixing region is dominated by large azimuthally correlated rollers whereas at high Mach numbers the flow is dominated by small streamwise oriented structures. An acoustic timescale limitation for supersonically deforming eddies is found to be consistent with the observations and scalings and is offered as a possible explanation for the decrease in transverse lengthscale.
Delete Relaxation and Traps in General Two-Player Zero-Sum Games

General game playing (GGP) is concerned with constructing players that can handle any game describable in a pre-defined language reasonably well. Nowadays, the most common approach is to make use of simulation based players using UCT. In this paper we consider the alternative, i.e., an Alpha-Beta based player. In planning, delete relaxation heuristics have been very successful for guiding the search toward the goal state. Here we propose evaluation functions based on delete relaxation for two-player zero-sum games. In recent years it has been noted that UCT cannot easily cope with shallow traps, while an Alpha-Beta search should be able to detect them. Thus, a question that arises is how common such traps are in typical GGP benchmarks. An empirical analysis suggests that both cases, relatively few traps and a high density of traps, can occur. In a second set of experiments we tackle how well the Alpha-Beta based player using the proposed evaluation function fares against a UCT based player in these benchmarks. The results suggest that (a) in most games with many traps Alpha-Beta outperforms UCT, (b) in games with few traps both players can be on par, (c) the evaluation functions provide an advantage over a blind heuristic in a number of the evaluated games.
Computational modelling of some problems of elasticity and viscoelasticity with applications to thermoforming process

The reliability of computational models of physical processes has received much attention and involves issues such as the validity of the mathematical models being used, the error in any data that the models need, and the accuracy of the numerical schemes being used. These issues are considered in the context of elastic, viscoelastic and hyperelastic deformation, when finite element approximations are applied. Goal oriented techniques using specific quantities of interest (QoI) are described for estimating discretisation and modelling errors in the hyperelastic case. The computational modelling of the rapid large inflation of hyperelastic circular sheets modelled as axisymmetric membranes is then treated, with the aim of estimating engineering QoI and their errors. Fine (involving inertia terms) and coarse (quasistatic) models of the inflation are considered. The techniques are applied to thermoforming processes where sheets are inflated into moulds to form thin-walled structures.
Stability, pseudo-stability, information and pseudo-information

This paper takes issue with Kuhner (1997) on four main points: • the implications of accounting conventions, principles and valuation conventions; • the role of Notes to the accounts; • the relationship between distributable profits and liquidity; • the significance of the efficient markets hypothesis. Kuhner's desire to make (page 749) 'published data on companies as informative as possible' is strongly supported, but we differ on what this may mean in practice.
Functional Inactivation of Endogenous MDM2 and CHIP by HSP90 Causes Aberrant Stabilization of Mutant p53 in Human Cancer Cells

The tight control of wild-type p53 by mainly MDM2 in normal cells is permanently lost in tumors harboring mutant p53, which exhibit dramatic constitutive p53 hyperstabilization that far exceeds that of wild-type p53 tumors. Importantly, mutant p53 hyperstabilization is critical for oncogenic gain of function of mutant p53 in vivo. Current insight into the mechanism of this dysregulation is fragmentary and largely derived from ectopically constructed cell systems. Importantly, mutant p53 knock-in mice established that normal mutant p53 tissues have sufficient enzymatic reserves in MDM2 and other E3 ligases to maintain full control of mutant p53. We find that in human cancer cells, endogenous mutant p53, despite its ability to interact with MDM2, suffers from a profound lack of ubiquitination as the root of its degradation defect. In contrast to wild-type p53, the many mutant p53 proteins which are conformationally aberrant are engaged in complexes with the HSP90 chaperone machinery to prevent its aggregation. In contrast to wild-type p53 cancer cells, we show that in mutant p53 cancer cells, this HSP90 interaction blocks the endogenous MDM2 and CHIP (carboxy-terminus of Hsp70-interacting protein) E3 ligase activity. Interference with HSP90 either by RNA interference against HSF1, the transcriptional regulator of the HSP90 pathway, or by direct knockdown of Hsp90 protein or by pharmacologic inhibition of Hsp90 activity with 17AAG (17-allylamino-17-demethoxygeldanamycin) destroys the complex, liberates mutant p53, and reactivates endogenous MDM2 and CHIP to degrade mutant p53. Of note, 17AAG induces a stronger viability loss in mutant p53 than in wild-type p53 cancer cells. Our data support the rationale that suppression of mutant p53 levels in vivo in established cancers might achieve clinically significant effects. Mol Cancer Res; 9(5); 577–88. ©2011 AACR.
LJlysscs observations of Micros { reams in the Solar Wind from CoronaI Holes

Abstracl l)uring its south polar passage n 1994, t}le lllysses spacecraft continuously sampled the properties of the solar wind emanating from the south polar corona] hole. At latitudes poleward of-60°, the solar-wind speed had an average value of 764 km/s and a range of 700-833 km/s. l'he principal variations in the vector velocity were associated with either outward propagating Alfv4n waves with periods up to about half a day or with longer-period high-or low-speed " rnicrostreams " , The microstreams had an amplitude of-40 km/s and a mean half-widt}] of 0.4 days, and they recurj ed on time scales of 2-3 days (power spectral peaks at 1.9 and 3.3 days). 'l'he density and temperature profiles showed the expected evidence of pileup and compression on the leading edges of high-speed microstreams, although no forward or reverse shocks were observed. The particle fluxes were nearly the, same for both the fast and slow microstl cams. The higher-speed microstreams had higher proton temperatures and higher alpha-particle abundances than did the slower microstreams. The absence of latitude validations in the thickness or the recurrence rate suggests that the microstreams are caused by temporal rather than long lived (> a few d~ys) spatial variations in the source regi<)n at the Sun. Some speculations are made about the possible cause of the microstreams.