Miracle-dz/UniFAR-FTUs huggingface dataset:
Negative Regulation of TLR Inflammatory Signaling by the SUMO-deconjugating Enzyme SENP6

The signaling of Toll-like receptors (TLRs) induces host defense against microbial invasion. Protein posttranslational modifications dynamically shape the strength and duration of the signaling pathways. It is intriguing to explore whether de-SUMOylation could modulate the TLR signaling. Here we identified SUMO-specific protease 6 (SENP6) as an intrinsic attenuator of the TLR-triggered inflammation. Depletion of SENP6 significantly potentiated the NF-κB-mediated induction of the proinflammatory genes. Consistently, SENP6-knockdown mice were more susceptible to endotoxin-induced sepsis. Mechanistically, the small ubiquitin-like modifier 2/3 (SUMO-2/3) is conjugated onto the Lysine residue 277 of NF-κB essential modifier (NEMO/IKKγ), and this impairs the deubiquitinase CYLD to bind NEMO, thus strengthening the inhibitor of κB kinase (IKK) activation. SENP6 reverses this process by catalyzing the de-SUMOylation of NEMO. Our study highlights the essential function of the SENP family in dampening TLR signaling and inflammation.
Gate and Drain Bias Dependences of 1/f Noise Amplitude in MOSFETs in the Linear and Saturation Regions

Amplitude of 1/f noise in NMOS and PMOS FETs has a strong dependency on bias conditions. Gate and drain bias dependencies of the noise were investigated in a wide operation range that covers both linear and saturation regions. The results are discussed referring to Hooge’s empirical relationships commonly observed for the 1/f noise in semiconductor materials.
e-science tools for the genomic scale characterisation of bacterial secreted proteins

Within bioinformatics, a considerable amount of time is spent dealing with three problems; heterogeneity, distribution and autonomy – concerns that are mirrored in this study and which eScience technologies should help to address. We describe the design and architecture of a system which makes predictions about the secreted proteins of bacteria, describing both the strengths and some weaknesses of current e-Science technology. The focus of this study was on the development and application of e-Science workflows and a service oriented approach to the genomic scale detection and characterisation of secreted proteins from Bacillus species. Members of the genus Bacillus show a diverse range of properties, from the non-pathogenic B. subtilis to the causative agent of anthrax, B. anthracis. Protein predictions were automatically integrated into a custom relational database with an associated Web portal to facilitate expert curation, results browsing and querying. We describe the use of workflow technology to arrange secreted proteins into families and the subsequent study of the relationships between and within these families. The design of the workflows, the architecture and the reasoning behind our approach are discussed.
Passive control architecture for virtual humans

In the present paper, we introduce a new control architecture aimed at driving virtual humans in interaction with virtual environments, by motion capture. It brings decoupling of functionalities, and also of stability thanks to passivity. We show projections can break passivity, and thus must be used carefully. Our control scheme enables task space and internal control, contact, and joint limits management. Thanks to passivity, it can be easily extended. Besides, we introduce a new tool as for manikin's control, which makes it able to build passive projections, so as to guide the virtual manikin when sharp movements are needed.
The INES system - II. Ripple correction and absolute calibration for IUE high resolution spectra

In this paper we document the results of the study which led to the ripple correction and absolute calibration algorithms applied to the high resolution spectra processed with the software for the Final Archive of the Project. In this analysis, based on a very large number of spectra, we find that both the K and α parameters (not only the former as previously believed) vary with order number. This fact, together with the finding that the central peaks of the blaze function vary also as a function of the THDA temperature (for the SWP camera) and of the date of observations (for the LWP and LWR cameras), makes the ripple correction algorithm more complex than previously considered but, at the same time, considerably more reliable. As for the high resolution absolute calibration, the method followed is similar to the one implemented in . The internal accuracy of the high resolution calibration is about 4%. We note that the ripple correction and absolute calibration algorithms here described apply also to data processed and distributed with the system.
ANSIEDADE PRÉ – COMPETITIVA E AUTOCONFIANÇA EM MODALIDADE DE ESPORTE COLETIVO

Independente do nivel do atleta e idade, a ansiedade e um dos fatores psicologicos mais frequentes no universo esportivo, justificado pela busca do alto rendimento que se expressa por meio de cobrancas, pressao por resultados e treinos exaustivos. Na presente pesquisa teve-se como objetivo identificar o nivel da ansiedade pre-competitiva e autoconfianca em modalidade de esporte coletivo. Fizeram parte enquanto sujeitos 11 atletas de uma modalidade esportiva coletiva do genero masculino, com idades entre 12 e 14 anos. Os instrumentos utilizados foram: entrevista semiestruturada e questionario Competitive State Anxiety Inventory – 2 ( CSAI - 2 ). No presente estudo verificou-se que os atletas apresentaram nivel baixo de ansiedade somatica e cognitiva e nivel medio alto de autoconfianca, confirmando o que e descrito pela literatura quando se refere a esportes coletivos. Palavras-chave: Ansiedade pre-competitiva. Autoconfianca. Ansiedade cognitiva. Ansiedade somatica.
Comparison Among CPP-ACP, Fluoride and a Combination of CPP-ACP/Fluoride and Their Ability to Remineralize White Spot Lesions in vitro

GUSTAVO OLIVEIRA: Comparison among ACP, Fluoride and a combination of ACP/ Fluoride and their ability to remineralize white spot lesions in vitro (Under the direction of Timothy Wright) This study evaluated the ability of a casein-phosphopeptide amorphous-calcium-phosphate paste (CPP-ACP, MI Paste™), a 1.1% NaF toothpaste containing 5000 ppm of fluoride (ControlRX™) and a CPP-ACP paste with 900 ppm of fluoride (MI Paste Plus™) to remineralize white spot lesions in vitro. Thirty five crowns of sound human molars were sectioned into four specimens. Artificial white spot lesions were formed in all specimens. Specimens were then randomly assigned to one of the following remineralizing treatments (n=35) with a pH-cycling model over 30 days: Group 1 – Control; Group 2 – MIPaste; Group 3-F5000; Group 4 – MI Paste Plus. Therapeutic agents were applied following the manufacturers' directions. MicroCT and Light-induced fluorescence were used as methods of assessment. The NaF containing toothpaste demonstrated better remineralization ability than CPP-ACP products overtime.
ParseTalk about Textual Ellipsis

A hybrid methodology for the resolution of text-level ellipsis is presented in this paper. It incorporates conceptual proximity criteria applied to ontologically well-engineered domain knowledge bases and an approach to centering based on functional topic/comment patterns. We state text grammatical predicates for ellipsis and then turn to the procedural aspects of their evaluation within the framework of an actor-based implementation of a lexically distributed parser.
Trustworthy Refinement Through Intrusion-Aware Design

Abstract : High confidence in a system's survivability requires an accurate understanding of the system's threat environment and the impact of that environment on system operations. Unfortunately, existing development methods for secure and survivable information systems often have a patchwork approach in which the focus is on deciding which popular security components to integrate rather than making a rational assessment of how to address the attacks that are likely to compromise the overall mission. This report proposes an intrusion-aware design model called trustworthy refinement through intrusion-aware design (TRIAD). TRIAD enables information system engineers to use known and hypothesized attack patterns to iteratively improve and continually maintain system survivability, even as the system and threat environment evolve over time.
Data Summarization with Linguistic Labels : A Loss Less Decomposition

In this work we accomplish the problem of applying the concept of fuzzy dependency to data summarization in databases. We recover the deenition introduced by the authors in previous works which was used to fuzzify the concept of classical dependency, maintaining properties like soundness and completeness of Armstrong Axioms. Now we relax it in such a way that we can apply it to compress the database in more cases than previously, although some properties like transitivity will be lost.
The impact of approximate evaluation on the performance of search algorithms for warehouse scheduling

The Coors warehouse scheduling problem involves nding a permutation of customer orders that minimizes the average time that customers' orders spend at the loading docks while at the same time minimizing the running average inventory. Search based solutions require fast objective functions. Thus, a fast low-resolution simulation is used as an objective function. A slower high-resolution simulation is used to validate solutions. We compare the performance of a constructive scheduling algorithm to a genetic algorithm and local search approach. The constructive algorithm is based on a heuristic built speciically for this application. We also tested a hybrid of the genetic algorithm and local search approaches by initializing the search using the domain-speciic heuristic. This hybrid genetic algorithm was able to nd the best solutions when evaluated by the high-resolution simulation. Finally, we consider the eeect of using the high-resolution simulation to lter a set of solutions found by the diierent approaches.
Design of a digital reaction-diffusion system for restoring blurred fingerprint images

This paper presents an algorithm for fingerprint image restoration using a Digital Reaction-Diffusion System (DRDS). The DRDS is a model of a discrete-time discrete-space nonlinear reaction-diffusion dynamical system, which is useful for generating biological textures, patterns and structures. This paper focuses on the design and evaluation of a special DRDS having a capability of restoring incomplete fingerprint images. The phase-only image matching technique is employed to evaluate the similarity between the original fingerprint images and the restored images. The proposed algorithm is useful for person identification applications using fingerprint images.
Deletion of the GABAA Receptor α1 Subunit Increases Tonic GABAA Receptor Current: A Role for GABA Uptake Transporters

The loss of more than half the number of GABAA receptors yet lack of pronounced phenotype in mice lacking the gene for the GABAA α1 subunit is somewhat paradoxical. We explored the role of tonic GABAA receptor-mediated current as a target of compensatory regulation in the α1 knock-out (−/−) mice. A 62% increase of tonic current was observed in the cerebellar granule cells (CGCs) of α1−/− compared with wild-type (+/+) mice along with a 67% increase of baseline current variance. Examination of whole-cell currents evoked by low concentrations of GABA and 4,5,6,7-tetrahydroisoxazolo[5,4-c]pyridin-3-ol suggested no upregulation of α6 and δ subunit-containing GABAA receptors in the α1−/−, confirming previous biochemical studies. Single-channel current openings were on average 32% shorter in the α1−/− neurons. Single-channel conductance and frequency of opening were not different between genotypes. Tonic current induced by application of the GABA transporter GAT-1 blocker NO711 (1-[2([(diphenylmethylene)imino]oxy)ethyl]-1,2,5,6-tetrahydro-3-pyridinecarboxylic acid hydrochloride) was significantly larger in the α1−/−, suggesting an increase of ambient GABA concentration. Experiments done with a known concentration of extracellular GABA complemented by a series of biochemical experiments revealed a reduction of GAT activity in α1−/− without an identifiable reduction of GAT-1 or GAT-3 protein. We report increased tonic GABAA receptor-mediated current in the α1−/− CGCs as a novel compensatory mechanism. Our data establish a role for GABA transporters as regulators of neuronal excitability in this and relevant models and examine other tonic conductance-regulating mechanisms responsible for the adaptive response of the cerebellar network to a deletion of a major synaptic GABAA receptor subunit.
Profiling of Age-Related Changes in the Tibialis Anterior Muscle Proteome of the mdx Mouse Model of Dystrophinopathy

X-linked muscular dystrophy is a highly progressive disease of childhood and characterized by primary genetic abnormalities in the dystrophin gene. Senescent mdx specimens were used for a large-scale survey of potential age-related alterations in the dystrophic phenotype, because the established mdx animal model of dystrophinopathy exhibits progressive deterioration of muscle tissue with age. Since the mdx tibialis anterior muscle is a frequently used model system in muscular dystrophy research, we employed this particular muscle to determine global changes in the dystrophic skeletal muscle proteome. The comparison of mdx mice aged 8 weeks versus 22 months by mass-spectrometry-based proteomics revealed altered expression levels in 8 distinct protein species. Increased levels were shown for carbonic anhydrase, aldolase, and electron transferring flavoprotein, while the expressions of pyruvate kinase, myosin, tropomyosin, and the small heat shock protein Hsp27 were found to be reduced in aged muscle. Immunoblotting confirmed age-dependent changes in the density of key muscle proteins in mdx muscle. Thus, segmental necrosis in mdx tibialis anterior muscle appears to trigger age-related protein perturbations due to dystrophin deficiency. The identification of novel indicators of progressive muscular dystrophy might be useful for the establishment of a muscle subtype-specific biomarker signature of dystrophinopathy.
Alginate from Pseudomonas fluorescens and P. putida: production and properties

The alginate-like polysaccharides synthesized by Pseudomonas fluorescens and Pseudomonas putida have been prepared from batch cultures grown with glucose and fructose as carbon substrates. Despite the different methods of catabolism of the two substrates and synthesis of the alginate precursors, both strains produced polysaccharides which were consistent in their composition of mannuronic and guluronic acids and in the frequency of occurrence of dimers of d-mannuronic acid. All preparations lacked homooligomeric sequences of l-guluronic acid and were highly acetylated (12–21%). In all the culture conditions tested, polysaccharide production was growth-associated and maximum M r was obtained after 48 h growth; older cultures contained material of progressively lower M r. This was ascribed to the degradative activity of alginate lyases which were detected intracellularly in both species and are presumably released by cell lysis. At 72 h, alginate from P. putida grown on either substrate had an M r of only 34000–38500, whereas the product from P. fluorescens grown on fructose had an M r of 300000 and that from glucose-grown cultures an M r of 72000.
Tensor network non-zero testing

Tensor networks are a central tool in condensed matter physics. In this paper, we initiate the study of tensor network non-zero testing (TNZ): Given a tensor network T, does T represent a non-zero vector? We show that TNZ is not in the Polynomial-Time Hierarchy unless the hierarchy collapses. We next show (among other results) that the special cases of TNZ on non-negative and injective tensor networks are in NP. Using this, we make a simple observation: The commuting variant of the MA-complete stoquastic k-SAT problem on D-dimensional qudits is in NP for logarithmic k and constant D. This reveals the first class of quantum Hamiltonians whose commuting variant is known to be in NP for all (1) logarithmic k, (2) constant D, and (3) for arbitrary interaction graphs.
Dislocations in Relaxed SiGe/Si Heterostructures

Recent advances in the understanding and control of threading dislocations in substantially relaxed SiGe buffer layers on Si are presented. A model for threading dislocation flow in relaxed graded SiGe buffers is used to determine the potential lower limit of threading dislocation density in relaxed SiGe buffers. Greater densities than expected from the model are seen in relaxed graded alloys with final concentrations greater than 50%. We show that the culprits of the higher threading dislocation density are threading dislocation pile-ups. Observation of early development of pile-ups confirms that inhomogeneous misfit dislocation densities in the graded buffer form regions of more severe crosshatch on the surface that impede dislocation flow. By using chemomechanical planarization (CMP), deleterious pile-up formation can be avoided, and previously formed pile-ups can be destroyed by regrowth of a graded layer. Experiments with CMP and regrowth of graded layers suggest that dislocation annihilation can be effective at reducing threading dislocation densities to densities of the order expected by the model. High quality Ge on Si layers created with the CMP process were used as templates to grow high quality GaAs on Si with strong room temperature photoluminescence and record minority carrier lifetime.
Regeneration of the Pancreas in Adult Zebrafish

OBJECTIVE Regenerating organs in diverse biological systems have provided clues to processes that can be harnessed to repair damaged tissue. Adult mammalian β-cells have a limited capacity to regenerate, resulting in diabetes and lifelong reliance on insulin. Zebrafish have been used as a model for the regeneration of many organs. We demonstrate the regeneration of adult zebrafish pancreatic β-cells. This nonmammalian model can be used to define pathways for islet-cell regeneration in humans. RESEARCH DESIGN AND METHODS Adult transgenic zebrafish were injected with a single high dose of streptozotocin or metronidazole and anesthetized at 3, 7, or 14 days or pancreatectomized. Blood glucose measurements were determined and gut sections were analyzed using specific endocrine, exocrine, and duct cell markers as well as markers for dividing cells. RESULTS Zebrafish recovered rapidly without the need for insulin injections, and normoglycemia was attained within 2 weeks. Although few proliferating cells were present in vehicles, ablation caused islet destruction and a striking increase of proliferating cells, some of which were Pdx1 positive. Dividing cells were primarily associated with affected islets and ducts but, with the exception of surgical partial pancreatectomy, were not extensively β-cells. CONCLUSIONS The ability of the zebrafish to regenerate a functional pancreas using chemical, genetic, and surgical approaches enabled us to identify patterns of cell proliferation in islets and ducts. Further study of the origin and contribution of proliferating cells in reestablishing islet function could provide strategies for treating human diseases.
TinyCubus: An Adaptive Cross-Layer Framework for Sensor Networks (TinyCubus: Ein Adaptives Cross-Layer Framework für Sensornetze)

Summury With the proliferation of sensor networks and sensor network applications, the overall complexity of such systems is continuously increasing. Sensor networks are now heterogeneous in terms of their hardware characteristics and application requirements even within a single network. In addition, the requirements of currently supported applications are expected to change over time. All of this makes developing, deploying, and optimizing sensor network applications an extremely difficult task. In this paper, we present the architecture of TinyCubus, a flexible and adaptive cross-layer framework for TinyOS-based sensor networks that aims at providing the necessary infrastructure to cope with the complexity of such systems. TinyCubus consists of a cross-layer framework that enables optimizations through cross-layer interactions, a configuration engine that distributes components efficiently by considering the roles of the sensor nodes and provides support to install components dynamically, and a data management framework that selects and adapts both system and data management components. Finally, relevant research challenges associated with the development of each framework are identified and discussed in the paper.
Prevalence and Attitudes about Illicit and Prescription Drugs on Twitter

As with many other health issues, each day Twitter users report information on their experiences with drugs, giving researchers an unique window on attitudes and behaviors about drug misuse and abuse. Using data collected over two different time periods and covering a broad range of substances, including prescribed opioids and illicit drugs, we present statistics about volume, as well as attitudes with respect to distribution (selling/buying) and need. We find that prescription drugs, such as sleeping pills, Xanax, and Adderall, are the top drugs needed in Twitter. Significantly more users are trying to sell illegal hard drugs, such as heroin and cocaine, rather than buy or claim need for these drugs. Finally, the Twitter chatter related to specific drugs is directly impacted by high-visibility media events involving such substances. Evaluating these and further results will provide valuable information about the modern drug experience.
A New Method to Obtain Series for 1/π and 1/π2

We give several conjectures that allow us to derive many series for 1/π and 1/π2. These series include Ramanujan's series, as well as those associated with the Domb numbers and Apéry numbers. We have checked the conjectures numerically in many examples with a precision of two hundred digits.
Hybrid Diagnosis Method Based on Evolutionary Algorithm and Support Vector Machines

These instructions A new intelligent fault diagnosis (IFD) method based on evolutionary algorithm and support vector machines (SVM) for multivariate process monitoring was proposed. A hybrid method combining feature selection and generation in a wrapper based approach via evolutionary algorithm was proposed to automatically generate feature set, and SVM was proposed to serve as an inductive learner for the evaluation of the feature set both as a classifier for the whole diagnosis system. The whole diagnosis process is in a full-automatic way. First, training stage is carried out. Original data with known features was directly sent to the IFD system and then selected features together with generated features are determined by the evolution of SVM learner. Finally, test stage is on the way. Test feature sets are put into SVM classifier, and IFD outputs current fault patterns, which terminates the whole diagnosis process. Applications in TEP data sets prove this method effective and robust.