Miracle-dz/UniFAR-FTUs huggingface dataset:
Density profiles and surface tension of polymers near colloidal surfaces

The surface tension of interacting polymers in a good solvent is calculated theoretically and by computer simulations for a planar wall geometry and for the insertion of a single colloidal hard sphere. This is achieved for the planar wall and for the larger spheres by an adsorption method, and for smaller spheres by a direct insertion technique. Results for the dilute and semidilute regimes are compared to results for ideal polymers, the Asakura–Oosawa penetrable-sphere model, and to integral equations, scaling and renormalization group theories. The largest relative changes with density are found in the dilute regime, so that theories based on noninteracting polymers rapidly break down. A recently developed “soft colloid” approach to polymer–colloid mixtures is shown to correctly describe the one-body insertion free-energy and the related surface tension.
Analyzing individual-based models of microbial systems

Cette these s'inscrit dans le cadre du debat en ecologie theorique entre ceux qui favorisent les modeles mathematiques agreges contenant un nombre relativement faible d'equations exprimant quelques principes generaux et ceux qui preferent les modeles individus-centre (multi-agents) qui sont structurellement plus realistes et comprennent une representation detaillees des processus et interactions a l'echelle de l'individu. Dans cette these nous proposons d'etablir un lien entre ces deux approches en derivant des modeles deterministes bases sur les moments spatiaux et approximant la dynamique des modeles individus-centres de systemes microbiens. Nous illustrons cette approche sur l'exemple de croissance d'un bio lm forme par des bacteries mobiles ou immobiles. Nous montrons que les modeles des moments peuvent rendre compte des principales proprietes des structures spatiales obtenues par simulation individus-centree. En n nous explorons les limites des modeles des moments notamment a rendre compte de l'e et des uctuations locales de l'environnement des individus lorsque celles ci a ectent la dynamique du systeme microbien simule par le modele individus-centre.
Towards an autonomous small-size humanoid robot: design issues and control strategies

This paper presents the design considerations of a small-size humanoid robot. The design process has revealed much about the several problems, challenges and tradeoffs imposed by biped locomotion. Among them, we here focus on the control of a single leg and its behaviour when assuming a forward motion. The controller is based on simple motion goals taking into account the reaction forces between the feet and the ground. A new method is proposed which appears to be well adapted to the class of problem considered: the use of a fractional-order controller combined with a genetic algorithm for optimal tuning of the control parameters. The control algorithm is tested through several simulations and its robustness is discussed.
When Are Quasi-Monte Carlo Algorithms Efficient for High Dimensional Integrals?

Recently, quasi-Monte Carlo algorithms have been successfully used for multivariate integration of high dimensiond, and were significantly more efficient than Monte Carlo algorithms. The existing theory of the worst case error bounds of quasi-Monte Carlo algorithms does not explain this phenomenon. This paper presents a partial answer to why quasi-Monte Carlo algorithms can work well for arbitrarily larged. It is done by identifying classes of functions for which the effect of the dimensiondis negligible. These areweightedclasses in which the behavior in the successive dimensions is moderated by a sequence of weights. We prove that the minimalworst caseerror of quasi-Monte Carlo algorithms does not depend on the dimensiondiff the sum of the weights is finite. We also prove that the minimal number of function values in the worst case setting needed to reduce the initial error by ? is bounded byC? p, where the exponentp? 1, 2], andCdepends exponentially on the sum of weights. Hence, the relatively small sum of the weights makes some quasi-Monte Carlo algorithms strongly tractable. We show in a nonconstructive way that many quasi-Monte Carlo algorithms are strongly tractable. Even random selection of sample points (done once for the whole weighted class of functions and then the worst case error is established for that particular selection, in contrast to Monte Carlo where random selection of sample points is carried out for a fixed function) leads to strong tractable quasi-Monte Carlo algorithms. In this case the minimal number of function values in theworst casesetting is of order ? pwith the exponentp= 2. The deterministic construction of strongly tractable quasi-Monte Carlo algorithms as well as the minimal exponentpis open.
Investigation for breast cancer using antennas in the ISM frequency band

From biological investigation one can observe that there exist a contrast between the electrical properties of normal and malignant breast tissues. Taking advantage from such observation a spiral PIFA antenna is designed to help in the detection of breast cancer. The antenna is intended to operate in the industrial, scientific, and medical (ISM) frequency band. A heterogeneous breast model is designed with more resemblance to the realistic case. The antenna is designed to be used as a stethoscope. The whole structure is simulated on CST Microwave Studio and measurements are carried using Network Analyzer.
Human Activity Recognition Using Multidimensional Indexing

In this paper, we develop a novel method for view-based recognition of human action/activity from videos. By observing just a few frames, we can identify the activity that takes place in a video sequence. The basic idea of our method is that activities can be positively identified from a sparsely sampled sequence of a few body poses acquired from videos. In our approach, an activity is represented by a set of pose and velocity vectors for the major body parts (hands, legs, and torso) and stored in a set of multidimensional hash tables. We develop a theoretical foundation that shows that robust recognition of a sequence of body pose vectors can be achieved by a method of indexing and sequencing and it requires only a few pose vectors (i.e., sampled body poses in video frames). We find that the probability of false alarm drops exponentially with the increased number of sampled body poses. So, matching only a few body poses guarantees high probability for correct recognition. Our approach is parallel, i.e., all possible model activities are examined at one indexing operation. In addition, our method is robust to partial occlusion since each body part is indexed separately. We use a sequence-based voting approach to recognize the activity invariant to the activity speed.
Adolescent Understanding and Acceptance of the HPV Vaccination in an Underserved Population in New York City

Background. HPV vaccination may prevent thousands of cases of cervical cancer. We aimed to evaluate the understanding and acceptance of the HPV vaccine among adolescents. Methods. A questionnaire was distributed to adolescents at health clinics affiliated with a large urban hospital system to determine knowledge pertaining to sexually transmitted diseases and acceptance of the HPV vaccine. Results. 223 adolescents completed the survey. 28% were male, and 70% were female. The mean age for respondents was 16 years old. Adolescents who had received the HPV vaccine were more likely to be female and to have heard of cervical cancer and Pap testing. Of the 143 adolescents who had not yet been vaccinated, only 4% believed that they were at risk of HPV infection and 52% were willing to be vaccinated. Conclusions. Surveyed adolescents demonstrated a marginal willingness to receive the HPV vaccine and a lack of awareness of personal risk for acquiring HPV.
PCR-based molecular characterization, phylogenetic analysis and secondary structure of the 28S rDNA of Thaparocleidus wallagonius (Monogenea: Dactylogyridae) – the most primitive species of this genus from India

Species of the monogenean genus Thaparocleidus are specific to freshwater siluriform fish. The infection caused by these gill parasites are a major health problem to fish. But, to focus the control strategies of these parasites, first it is important to establish an accurate discrimination by molecular methods. In the present study, phylogenetic and structural analysis of 28S region of ribosomal DNA of T. wallagonius species collected from fish Wallago attu from Meerut (U.P.), India, was carried out. In the first step, we amplified, sequenced 28S region of ribosomal DNA of T. wallagonius to establish the phylogenetic relationship with other species of this genus. T. wallagonius found on gill filaments of fish W. attu, is the most primitive parasite of this genus from India, was unequivocally discriminate from other species of the same genus in this study. A secondary-structure model of the large subunit rDNA was also predicted using a combined comparative and thermodynamic approach. Molecular morphometric and phylogenetic relationship of T. wallagonius are discussed in detailed that based on molecular analysis using bioinformatic tools.
On equitable -coloring of graphs with low average degree

An equitable coloring of a graph is a proper vertex coloring such that the sizes of any two color classes differ by at most 1. Hajnal and Szemerédi proved that every graph with maximum degree is equitably k-colorable for every k + 1. Chen, Lih, and Wu conjectured that every connected graph with maximum degree 3 distinct from K +1 and K , is equitably -colorable. This conjecture has been proved for graphs in some classes such as bipartite graphs, outerplanar graphs, graphs with maximum degree 3, interval graphs. We prove that this conjecture holds for graphs with average degree at most /5. © 2005 Elsevier B.V. All rights reserved.
Ian4 is required for mitochondrial integrity and T cell survival

Apoptosis is a regulated cell death program controlled by extrinsic and intrinsic signaling pathways. The intrinsic pathway involves stress signals that activate pro-apoptotic members of the Bcl-2 family, inducing permeabilization of mitochondria and release of apoptogenic factors. These proteins localize to the outer mitochondrial membrane. Ian4, a mitochondrial outer membrane protein with GTP-binding activity, is normally present in thymocytes, T cells, and B cells. We and others have recently discovered that a mutation in the rat Ian4 gene results in severe T cell lymphopenia that is associated with the expression of autoimmune diabetes. The mechanism by which Ian4 controls T cell homeostasis is unknown. Here we show that the absence of Ian4 in T cells causes mitochondrial dysfunction, increased mitochondrial levels of stress-inducible chaperonins and a leucine-rich protein, and T cell-specific spontaneous apoptosis. T cell activation and caspase 8 inhibition both prevented apoptosis, whereas transfection of T cells with Ian4-specific small interfering RNA recapitulated the apoptotic phenotype. The findings establish Ian4 as a tissue-specific regulator of mitochondrial integrity.
Architecture of English to Sanskrit machine translation

Machine Translation has been a widely addressed topic. It is critically analyzed from various angles, like-languages attempted for translation, techniques evolved, models designed etc. Apart from this, the results obtained as well as the percentage of accuracy are also highly focused. In this paper, we have discussed the structure of the Sanskrit language followed by the similarities between Sanskrit grammar and Context Free Grammar along with the grammatical differences between Sanskrit and English Language. The formation of noun words in Sanskrit language is also discussed briefly with the help of derivation tree. We have also focused on database design and model developed for translation.
Hybrid Models for Effective Design and Optimization of Large-Scale Multiplexing Networks

In this paper, hybrid models for the design and optimization of large-scale multiplexers are presented. First, analysis based on the low-pass prototype filter circuit model proves that the first cavity of a channel filter next to the manifold is critical in the design of multiplexers. A hybrid model is proposed, combining a circuit model and the electromagnetic (EM) analysis of the coupling junction close to the manifold. The fact that only a single junction requires EM simulation facilitates the introduction of neural networks to multiplexer design for the first time. Another format of the hybrid model is then built by replacing the EM simulation with a neural model for the output coupling to the first resonator. The efficiency of the method is demonstrated using a six-channel multiplexer and a 13-channel multiplexer. Responses predicted by the hybrid models agree well with full EM simulations and measurement results. The proposed hybrid models are proven to be able to provide a high degree of accuracy in both in-band and out-of-band frequency ranges and fast, enabling iterative optimization involving all design parameters for large-scale multiplexers.
Large-eddy simulation of flow through a low-pressure turbine cascade

The technique of large–eddy simulation (LES) has been used to simulate and analyze the flow through a low–pressure turbine (LPT) cascade. The objective of this study is to demonstrate the capability of LES to predict flow separation and the associated losses, and to analyze the spatio-temporal dynamics of the unsteady separation process. Simulations have been performed at Reynolds numbers (based on inlet velocity and axial chord) of 10000 and 25000. The focus of the current paper is to firstly describe the computational aspects of this study and secondly, to discuss the observed dynamics of the unsteady separation process at these relatively low Reynolds numbers.
APOε2 and education in cognitively normal older subjects with high levels of AD pathology at autopsy: findings from the Nun Study

Asymptomatic Alzheimer's disease (ASYMAD) subjects are individuals characterized by preserved cognition before death despite substantial AD pathology at autopsy. ASYMAD subjects show comparable levels of AD pathology, i.e. β-amyloid neuritic plaques (Aβ-NP) and tau-neurofibrillary tangles (NFT), to those observed in mild cognitive impairment (MCI) and some definite AD cases. Previous clinicopathologic studies on ASYMAD subjects have shown specific phenomena of hypertrophy in the cell bodies, nuclei, and nucleoli of hippocampal pyramidal neurons and other cerebral areas. Since it is well established that the allele APOε4 is a major genetic risk factor for AD, we examined whether specific alleles of APOE could be associated with the different clinical outcomes between ASYMAD and MCI subjects despite equivalent AD pathology. A total of 523 brains from the Nun Study were screened for this investigation. The results showed higher APOε2 frequency (p < 0.001) in ASYMAD (19.2%) vs. MCI (0%) and vs. AD (4.7%). Furthermore, higher education in ASYMAD vs. MCI and AD (p < 0.05) was found. These novel autopsy-verified findings support the hypothesis of the beneficial effect of APOε2 and education, both which seem to act as contributing factors in delaying or forestalling the clinical manifestations of AD despite consistent levels of AD pathology.
A Clustering-Bayesian Network Based Approach for Test Case Prioritization

Test case prioritization can effectively reduce the cost of regression testing by executing test cases with respect to their contributions to testing goals. Previous research has proved that the Bayesian Networks based technique which uses source code change information, software quality metrics and test coverage data has better performance than those methods merely depending on only one of the items above. Although the former Bayesian Networks based Test Case Prioritization (BNTCP) focusing on assessing the fault detection capability of each test case can utilize all three items above, it still has a deficiency that ignores the similarity between test cases. For mitigating this problem, this paper proposes a hybrid regression test case prioritization technique which aims to achieve better prioritization by incorporating code coverage based clustering approach with BNTCP to depress the impact of those similar test cases having common code coverage. Experiments on two Java projects with mutation faults and one Java project with hand-seeded faults have been conducted to evaluate the fault detection performance of the proposed approach against Additional Greedy approach, Bayesian Networks based approach (BNTCP), Bayesian Networks based approach with feedback (BNA) and code coverage based clustering approach. The experimental results showed that the proposed approach is promising.
H∞ state estimation for time-varying networks with probabilistic delay in measurements

This paper is concerned with the H∞ state estimation problem for the time-varying networks with probabilistic delay over a finite horizon. The measurements for the proposed network experience randomly occurring delays (RODs) with changeable probabilities, which could be described by a time-varying Bernoulli distribution stochastic sequence. Stochastic analysis and probability-dependent method are utilized to develop sufficient criteria under which the prescribed H∞ performance can be achieved. It is worth mentioning that, based on the available lower and upper bounds of the varying probabilities, the target estimator gains are transformed into a convex optimization problem subjecting to a set of recursive matrix inequalities which can be applied in a more robust situation. Finally, a simulation example is provided to show the effectiveness of the obtained results.
Performance of BICM-T transceivers over Gaussian mixture noise channels

Experimental measurements have shown that the noise in many communication channels is non-Gaussian. Bit interleaved coded modulation (BICM) is very popular for spectrally efficient transmission. Recent results have shown that the performance of BICM using convolutional codes in non-fading channels can be significantly improved if the coded bits are not interleaved at all. This particular BICM design is called BICM trivial (BICM-T). In this paper, we analyze the performance of a generalized BICM-T design for communication over Gaussian mixture noise (GMN) channels. The results disclose that for an optimal bit error rate (BER) performance, the use of an interleaver in BICM for GMN channels depends upon the strength of the impulsive noise components in the Gaussian mixture. The results presented for 16-QAM show that the BICM-T can result in gains up to 1.5 dB for a target BER of 10-6 if the impulsive noise in the Gaussian mixture is below a certain threshold level. The simulation results verify the tightness of developed union bound (UB) on BER performance.
Fast Filter-Based Boolean Matchers

Boolean matching is one of the fundamental and time-consuming procedures in field-programmable gate array (FPGA) synthesis. The SAT-based Boolean matchers (BMs) are not scalable while other Boolean matchers based on complicated Boolean logic operation algorithms are not flexible for complex PLBs. Recently, a scalable Boolean matcher (F-BM) based on the Bloom filter has been proposed for both scalability and flexibility. However, it requires large amount of memory space which can be a bottleneck for traditional personal computers. To tackle that problem, this letter proposes a novel Boolean matcher with much less memory requirement. Compared with F-BM, the proposed Boolean matcher has achieved an average of 5% better result with 2000x smaller storage and only 1.6x more runtime when applying to the same application. The significant reduction of storage requirements makes the proposed Boolean matcher able to handle more complicated PLB structures with larger input sizes.
Propagation models for coexistence studies

This document suggests propagation models to use in coexistence studies Purpose Select an agreed set of models for the studies to be performed by TG2a Notice This document has been prepared to assist IEEE 802.16. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release The contributor grants a free, irrevocable license to the IEEE to incorporate text contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE 802.16. Patent Policy and Procedures The contributor is familiar with the IEEE 802.16 Patent Policy and Procedures (Version 1.0) , including the statement “IEEE standards may include the known use of patent(s), 2001-09-06 IEEE 802.16. 3c-01/80 including patent applications, if there is technical justification in the opinion of the standards-developing committee and provided the IEEE receives assurance from the patent holder that it will license applicants under reasonable terms and conditions for the purpose of implementing the standard. ” Early disclosure to the Working Group of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair as early as possible, in written or electronic form, of any patents (granted or under application) that may cover technology that is under consideration by or has been approved by IEEE 802.16. The Chair will disclose this notification via the IEEE 802.16 web site . 2001-09-06 IEEE 802.16. 3c-01/80 Propagation models for coexistence studies Avi Freedman Hexagon System Engineering Ltd.