Miracle-dz/UniFAR-FTUs huggingface dataset:
VSS-LMS algorithms for multichannel system identification using volterra filtrering

This paper propounds the adaptive polynomial filtering deploying the multifarious variable step-size least mean square (VSS-LMS) algorithms for the nonlinear Volterra multichannel system identification, and all are compared with a fixed step-size Volterra least mean square (VLMS) algorithm, under the various noise constraints comprising an individual signal-to-noise ratio (SNR). The VSS-LMS algorithm corroborates steady behaviour during convergence, and the step- size of the adaptive filter is altered in compliance with a gradient descent algorithm delineated to abate the squared estimation error in the course of each iteration, and it also revamps tracking rendition in the smoothly time-varying environments to the choice of the parameters and the boundaries of adaptive filter. In multitudinous practical implementations, the autocorrelation matrix of the input signal has the immense eigenvalue spread in the manifestation of nonlinear Volterra filter than in respect of the linear impulse response filter. In such circumstances, an adaptive step-size is a pertinent option to mitigate the unpropitious effects of eigenvalue spread on the convergence of VLMS adaptive algorithm. The simulation results are exhibited to reinforce the analysis, which compare the VSS-LMS algorithms with fixed step-size of the second-order Volterra filter, and also substantiate that the VSS-LMS algorithms are more robust than the fixed step-size algorithm when the input noise is logistic chaotic type. Index Terms-least mean square (LMS), minimum mean square error (MMSE), system identification, variable step-size least mean square (VSS-LMS), Volterra filter.
Antigen Processing Defects in Cervical Carcinomas Limit the Presentation of a CTL Epitope from Human Papillomavirus 16 E61

Human papillomavirus (HPV) infection, particularly type 16, is causally associated with the development of cervical cancer. The E6 and E7 proteins of HPV are constitutively expressed in cervical carcinoma cells making them attractive targets for CTL-based immunotherapy. However, few studies have addressed whether cervical carcinomas can process and present HPV E6/E7-derived Ags for recognition by CTL. We generated HLA-A*0201-restricted CTL clones against HPV16 E629–38 that recognized HPV16 E6 Ags transfected into B lymphoblastoid cells. These CTL were unable to recognize HLA-A*0201+ HPV16 E6+ cervical carcinoma cell lines even when the level of endogenous HPV16 E6 in these cells was increased by transfection. This defect in presentation of HPV16 E629–38 correlated with low level expression of HLA class I, proteasome subunits low molecular mass protein 2 and 7, and the transporter proteins TAP1 and TAP2 in the cervical carcinoma cell lines. The expression of all of these proteins could be up-regulated by IFN-γ, but this was insufficient for CTL recognition unless the level of HPV16 E6 Ag was also increased by transfection. CTL recognition of the HPV16 E629–38 epitope in 721.174 B cells was dependent on TAP expression but independent of immunoproteasome expression. Collectively, these findings suggest that presentation of the HPV16 E629–38 epitope in cervical carcinoma cell lines is limited both by the level of TAP expression and by the low level or availability of the source HPV E6 oncoprotein. These observations place constraints on the use of this, and potentially other, HPV-derived CTL epitopes for the immunotherapy of cervical cancer.
Nonsteroidal Anti-Inflammatory Drug Use and Endometrial Cancer Risk in the NIH-AARP Diet and Health Study

Chronic inflammation may play an etiologic role in endometrial cancer. Nonsteroidal anti-inflammatory drugs (NSAIDs) reduce inflammatory activity by inhibiting the proinflammatory cyclooxygenase enzymes and, therefore, may decrease cancer risk. However, few studies have examined the association between NSAID use and endometrial cancer. We conducted a prospective study among 72,524 women in the NIH-AARP Diet and Health Study. Women completed a questionnaire in 1996–1997 on lifestyle and health-related factors, including type and frequency of NSAID use within the past year, and were followed through 2003 by linkages to cancer registries and vital status databases. During 488,261 person-years of follow-up, there were 732 incident endometrial cancers. NSAID use, compared with nonuse of NSAIDs, was not significantly associated with endometrial cancer risk [relative risk (RR), 0.90; 95% confidence interval (95% CI), 0.74–1.09]. Null associations were also observed by type of NSAID use [aspirin only: RR, 0.88; 95% CI, 0.70–1.11; nonaspirin NSAID (NA-NSAID) only: RR, 1.01; 95% CI, 0.79–1.29; both aspirin and NA-NSAIDs: RR, 0.85; 95% CI, 0.68–1.06]. Generally, results were not statistically significant by frequency of use for aspirin or NA-NSAIDs. Results did not change when women with a history of heart disease, hypertension, or diabetes were excluded to minimize the potential for confounding by indication. Overall, our data do not support an association between aspirin or NA-NSAID use and endometrial cancer risk.
What Is the Relationship between Resources and Student Achievement? A Canonical Analysis.

Researchers have long searched for a relationship between school resources and student achievement. The search for this relationship has relied heavily on the use of education production functions. Despite years of research on this topic, there has been little agreement concerning which resources are the most essential variables to increase education productivity. This article introduces a new method of statistical analysis to respond to this question, canonical correlation, in an attempt to bring clarity to the debate. This method allows the researcher to better analyze the complex nature of schooling by considering multiple inputs and outputs at the same time. A statistically significant relationship was found between the linear combination of input variables and the linear combination of output variables in two of the seven canonical correlations calculated from the data. The total pooled variance explained by those significant correlations was estimated to be j6% of the total variance shared between the two sets of variables. Redundancy calculations suggested that the input variables predicted 18% of student outcomes.
Proteomics of Saccharomyces cerevisiae Organelles*

Knowledge of the subcellular localization of proteins is indispensable to understand their physiological roles. In the past decade, 18 studies have been performed to analyze the protein content of isolated organelles from Saccharomyces cerevisiae. Here, we integrate the data sets and compare them with other large scale studies on protein localization and abundance. We evaluate the completeness and reliability of the organelle proteomics studies. Reliability depends on the purity of the organelle preparations, which unavoidably contain (small) amounts of contaminants from different locations. Quantitative proteomics methods can be used to distinguish between true organellar constituents and contaminants. Completeness is compromised when loosely or dynamically associated proteins are lost during organelle preparation and also depends on the sensitivity of the analytical methods for protein detection. There is a clear trend in the data from the 18 organelle proteomics studies showing that proteins of low abundance frequently escape detection. Proteins with unknown function or cellular abundance are also infrequently detected, indicating that these proteins may not be expressed under the conditions used. We discuss that the yeast organelle proteomics studies provide powerful lead data for further detailed studies and that methodological advances in organelle preparation and in protein detection may help to improve the completeness and reliability of the data.
Novel models of broadband traffic

We provide models which are capable of describing the long term correlations and self similar burstiness structure found in recent measurements of packet networks and VBR video. Two families of "fractal" arrival processes are presented which capture these features extremely compactly. We show the equivalence of one of these to processes with unsummable auto-correlation functions used by Leyland, Taqqu, Wilinger and Wilson (1993) to describe long term correlation and burstiness. Our approach however has advantages. The other (1 parameter) family generates burstiness on all time scales. It shows how blocking can occur even for arrival streams with zero arrival rate. This illustrates how parameters describing scaling of burstiness and correlation must replace useless long terms averages. <<ETX>>
Constraint-Based Parsing as an Efficient Solution: Results from the Parsing Evaluation Campaign EASy

This paper describes the unfolding of the EASy evaluation campaign for french parsers as well as the techniques employed for the participation of laboratory LPL to this campaign. Three symbolic parsers based on a same resource and a same formalism (Property Grammars) are described and evaluated. The first results of this evaluation are analyzed and lead to the conclusion that symbolic parsing in a constraint-based formalism is efficient and robust.
Spectroscopy of doubly-charmed baryons in lattice QCD

We present results for masses of spin-1/2 and spin-3/2 double-charm baryons in quenched lattice QCD, from an exploratory study using a non-perturbatively improved clover action at ? =6.2. We have studied local operators and we observe, after appropriate projections, a good signal for the ground states. We also present results for single-charmed baryons and spin-splittings for both double- and single-charmed states.
An mHealth Approach to Extend a Brief Intervention for Adolescent Alcohol Use and Suicidal Behavior: Qualitative Analyses of Adolescent and Parent Feedback

Abstract Mobile health (mHealth) tools that supplement inpatient psychiatric care can maintain and enhance intervention effects following hospitalization. Adolescents hospitalized following a suicidal event represent a vulnerable population who could greatly benefit from such an mHealth intervention. In specific, suicidal adolescents who drink alcohol are in need of robust interventions that address the bidirectional relationship between alcohol use and suicidal thoughts and behaviors, because it puts them at especially high risk for suicide upon discharge. The purpose of this study was to conduct qualitative interviews to gather feedback to improve a brief alcohol intervention provided to suicidal adolescents during psychiatric hospitalization, and to develop a mHealth tool to extend care after discharge. Participants, eight adolescents and their parents, identified the need for a smartphone application to deliver intervention content to adolescents and parents during the posthospitalization period. Adolescents sought support in meeting alcohol- and mood-related goals, while parents desired general resources as well as tips for conversations with their adolescent about mood and alcohol use.
Collision Avoidance Multiple Access in Wireless Sensor Networks

Collision avoidance multiple access plays an important role in wireless sensor networks, especially for those composed of nodes having a simple access protocol functionality. Numerous protocols have been proposed for wireless sensor networks during the past decades. However, the majority of these proposals require too much actions to be taken by sensor nodes, which makes the sensor nodes too complex. In this paper, we focus on the sensor networks composed of simple function nodes and presented novel collision avoidance multiple access algorithms. Both suggested algorithms are based on two functional stages: the channel allocation stage and the actual data transmission by using TDMA and/or CDMA. Simulation results indicate that our algorithms significantly improve communication efficiency via collision avoidance scheme, comparing to existing proposals. In reference to this improvement, we also address user-fairness of our algorithms.
Simulating the Behavior of an Integrate-and-Fire Neuron Regarding Different Types of Input

Video-image data can be analyzed and processed in many ways. This paper explores to what extent spiking neurons, which are designed along the Hodgkin-Huxley model, are suitable for this task. The simulations reported in this paper consider integrate-and-fire neurons, constant as well as alternating input currents, and pixel-intensity driven inputs. Currently, the simulation software employs 64 independently operating spiking neurons that process image data taken every 25 ms. The results reported here serve as a prerequisite step towards an FPGA-based implementation
Cellular / Molecular Compartment-Dependent Colocalization of Kir 3 . 2-Containing K Channels and GABAB Receptors in Hippocampal Pyramidal Cells

Ákos Kulik,1,2 Imre Vida,1 Yugo Fukazawa,2,5 Nicole Guetg,1,3 Yu Kasugai,2 Cheryl L. Marker,4 Franck Rigato,1 Bernhard Bettler,3 Kevin Wickman,4 Michael Frotscher,1 and Ryuichi Shigemoto2,5,6 1Institute of Anatomy and Cell Biology, Department of Neuroanatomy, University of Freiburg, 79104 Freiburg, Germany, 2Division of Cerebral Structure, National Institute for Physiological Sciences, Myodaiji, Okazaki 444-8787, Japan, 3Pharmazentrum, Department of Clinical–Biological Sciences, University of Basel, 4056 Basel, Switzerland, 4Department of Pharmacology, University of Minnesota, Minneapolis, Minnesota 55455, 5Department of Physiological Sciences, The Graduate University of Advanced Studies (Sokendai), Myodaiji, Okazaki 444-8787, Japan, and 6SORST Japan Science and Technology Corporation, Kawaguchi 332-0012, Japan
MATRIX TABLEAU-PAIRS WITH KEY AND SHUFFLING CONDITIONS

It has been shown that the sequence of Smith invariants defined by certain sequences of products of matrices, with entries in a local principal ideal domain, are combinatorially described by tableau-pairs (T, K) where T is a tableau of skew-shape which rectifies to the key-tableau K. It is a fact that the set of all shuffles of the columns of a key-tableau is a subset of its Knuth class. Here, under the condition that the word of T is a shuffle of the columns of the key-tableau K, we show the converse, that is, every tableau-pair under the aforesaid restrictions has a matrix construction. In the case of a four-letter alphabet, since we are able to give an explicit description of the Knuth class of a key-tableau as a union of the shuffles of certain subsets of words containing the key-tableau columns, our construction is general. This may be seen as an indication of a general procedure if a subset of shuffling generators of a generic key-tableau Knuth class is provided. At the moment however, this seems to be a very difficult problem.
Differential data analysis for recommender systems

We present techniques to characterize which data contributes most to the accuracy of a recommendation algorithm. Our main technique is called differential data analysis. The name is inspired by other sorts of differential analysis, such as differential power analysis and differential cryptanalysis, where insight comes through analysis of slightly differing inputs. In differential data analysis we chunk the data and compare results in the presence or absence of each chunk. We apply differential data analysis to two datasets and three different attributes. The first attribute is called user hardship. This is a novel attribute, particularly relevant to location datasets, that indicates how burdensome a data point was to achieve. The second and third attributes are more standard: timestamp and user rating. For user rating, we confirm previous work concerning the increased importance to the recommender of high and low user ratings.
Characterization of quantum chaos by the autocorrelation function of spectral determinants

The autocorrelation function of spectral determinants is proposed as a convenient tool for the characterization of spectral statistics in general, and for the study of the intimate link between quantum chaos and the random matrix theory, in particular. For this purpose, the correlation functions of spectral determinants are evaluated for various random matrix ensembles, and are compared with the corresponding semiclassical expressions. The method is demonstrated by applying it to the spectra of the quantized Sinai billiards in two and three dimensions.
Impact of contact and local interconnect scaling on logic performance

We perform a comparative analysis of metal-Si and metal-insulator-Si (MIS) contacts and quantify the impact of the contact/via resistances on logic performance. Our results show that silicide contacts account for 32% degradation in the ON current of an nFinFET (ION) compared to ideal contact. MIS contacts which lead to lowering of Schottky barrier height provide 12% performance gain at iso-energy. Technology scaling to 5 nm will make MIS contact contribute 35% to the overall extrinsic resistance, with metal resistance contribution rising to 20%.
Implementing Local Search with Membrane Computing

Local search is currently one of the most used methods for finding solution in real-life problems. In this paper we present an implementation of local search with Membrane Computing techniques applied to the N-queens problem as a case study. A CLIPS program inspired in the Membrane Computing design has been implemented and several experiments have been performed.
Fish Intake and the Risk of Incident Heart Failure: The Women's Health Initiative

Background—Whether fish or the fatty acids they contain are independently associated with risk for incident heart failure (HF) among postmenopausal women is unclear. Methods and Results—The baseline Women's Health Initiative Observational Study cohort consisted of 93 676 women ages 50 to 79 years of diverse ethnicity and background, of which 84 493 were eligible for analyses. Intakes of baked/broiled fish, fried fish, and omega-3 fatty acid (eicosapentaenoic acid+docosahexaenoic acid, &agr;-linolenic acid), and trans-fatty acid were determined from the Women's Health Initiative food frequency questionnaire. Baked/broiled fish consumption was divided into 5 frequency categories: <1/mo (referent), 1 to 3/mo, 1 to 2/wk, 3 to 4/wk, ≥5/wk. Fried fish intake was grouped into 3 frequency categories: <1/mo (referent), 1–3/mo, and ≥1/wk. Associations between fish or fatty acid intake and incident HF were determined using Cox models adjusting for HF risk factors and dietary factors. Baked/broiled fish consumption (≥5 servings/wk at baseline) was associated with a hazard ratio of 0.70 (95% confidence interval, 0.51 to 0.95) for incident HF. In contrast, fried fish consumption (≥1 serving/wk at baseline) was associated with a hazard ratio of 1.48 (95% confidence interval, 1.19 to 1.84) for incident HF. No significant associations were found between eicosapentaenoic acid+docosahexaenoic acid, &agr;-linolenic acid, or trans-fatty acid intake and incident HF. Conclusions—Increased baked/broiled fish intake may lower HF risk, whereas increased fried fish intake may increase HF risk in postmenopausal women.
Wireless Sensor Networks Based on the DV-Hop Localization Algorithm

Node localization in wireless sensor networks is an important research direction. On the basis of the tradition of the DV-Hop, this paper proposes a new positioning algorithm by analyzing its shortcomings. The new algorithm eliminates the long-distance anchor node information. It fixed the error of the average hop distance, and selected anchor nodes to participate in the trilateral positioning selectively. Finally, we use the MATLAB to simulate the network. The simulation results show that the modified algorithm is better than the original algorithm in terms of performance. And it has more accurate positioning.
A CREB‐binding site as a target for decapentaplegic signalling during Drosophila endoderm induction

Decapentaplegic (Dpp) is an extracellular signal of the transforming growth factor‐β family with multiple functions during Drosophila development. For example, it plays a key role in the embryo during endoderm induction. During this process, Dpp stimulates transcription of the homeotic genes Ultrabithorax in the visceral mesoderm and labial in the subjacent endoderm. Here, we show that a cAMP response element (CRE) from an Ultrabithorax enhancer mediates Dpp‐responsive transcription in the embryonic midgut, and that endoderm expression from a labial enhancer depends on multiple CREs. Furthermore, the Drosophila CRE‐binding protein dCREB‐B binds to the Ultrabithorax CRE, and ubiquitous expression of a dominant‐negative form of dCREB‐B suppresses CRE‐mediated reporter gene expression and reduces labial expression in the endoderm. Therefore, a CREB protein may act as a nuclear target, or as a partner of a nuclear target, for Dpp signalling in the embryonic midgut.
A cooperative spectrum sensing scheme using multiobjective hybrid IWO/PSO algorithm in cognitive radio networks

Spectrum sensing is a key technology in cognitive radio networks (CRNs) to detect the unused spectrum. To achieve better performance cognitive radio (CR) users need to be able to adapt their transmission parameters according to the rapid changes in the surroundings. This paper proposes multi-objective hybrid invasive weed optimization and particle swarm optimization (MO hybrid IWO/PSO) based soft decision fusion (SDF) approach for optimizing the global decision threshold and weight coefficient vector assigned to each cognitive users (CUs) in order to maximize the detection probability, and minimize the false alarm probability and overall probability of error at the same time. Simulation results are analyzed, and performance metrics are compared qualitatively to evaluate the different multiobjective evolutionary algorithms. It is observed that our proposed method outperforms the nondominated sorting genetic algorithm (NSGA-II), multiobjective particle swarm optimization (MOPSO) and nondominated sorting invasive weed optimization (NSIWO) in the terms of detection accuracy and nondominated solutions.
Differences in Dry Eye Questionnaire Symptoms in Two Different Modalities of Contact Lens Wear: Silicone-Hydrogel in Daily Wear Basis and Overnight Orthokeratology

Purpose. To compare the ocular surface symptoms and signs in an adult population of silicone-hydrogel (Si-Hy) contact lens (CL) wearers with another modality of CL wear, overnight orthokeratology (OK). Materials and Methods. This was a prospective and comparative study in which 31 myopic subjects were fitted with the same Si-Hy CL and 23 underwent OK treatment for 3 months. Dry eye questionnaire (DEQ) was filled in at the beginning of the study and then after 15 days, 1 month, and 3 months using each CL modality. The tear quality was evaluated with noninvasive tear break-up time. Tear production was measured with Schirmer test. Tear samples were collected with Schirmer strips being frozen to analyze the dinucleotide diadenosine tetraphosphate (Ap4A) concentration with High-Performance Liquid Chromatography (HPLC). Results. After refitting with ortho-k, a reduction in discomfort and dryness symptoms at the end of the day (p < 0.05, χ 2) was observed. No significant changes were observed in Ap4A concentration in any group. Bulbar redness, limbal redness, and conjunctival staining increased significantly in the Si-Hy group (p < 0.05, Kruskal–Wallis test). Conclusion. Discomfort and dryness symptoms at the end of the day are lower in the OK CL group than in the Si-Hy CL group.