Miracle-dz/UniFAR-FTUs huggingface dataset:
A FRAMEWORK FOR MUSICAL MULTIAGENT SYSTEMS

Multiagent system technology is a promising new venue for interactive musical performance. In recent works, this technology has been tailored to solve specific, limited scope musical problems, such as pulse detection, instrument simulation or automatic accompaniment. In this paper, we present a taxonomy of such musical multiagent systems, and an implementation of a computational framework that subsumes previous works and addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility. By using it, a user may develop a musical multiagent system focusing primarily in his/her musical needs, while leaving most of the technical problems to the framework. To validate this framework, we implemented and discussed two cases studies that explored several aspects of musical multiagent systems, such as MIDI and audio communication, spatial trajectories and acoustical simulation, and artificial life constructs like genetic codes and reproduction, thus indicating the usefulness of this framework in a variety of musical applications.
Running head : Air speed and olfactory transduction in Drosophila 16 17 Contact information

1 2 3 4 5 6 Title: Transduction in Drosophila olfactory receptor neurons is invariant to air speed 7 8 Authors: Yi Zhou and Rachel I. Wilson 9 10 Author contributions: Y.Z. and R.I. W. designed the experiments. Y.Z. collected and analyzed 11 the data. Y.Z. and R.I. W. wrote the manuscript. 12 13 Affiliation: Department of Neurobiology, Harvard Medical School, Boston, MA 02115 USA 14 15 Running head: Air speed and olfactory transduction in Drosophila 16 17 Contact information: R.I. Wilson, Harvard Medical School, 220 Longwood Ave., Boston, MA 18 02115 (email: rachel_wilson@hms.harvard.edu). 19 20 21 22 Articles in PresS. J Neurophysiol (July 18, 2012). doi:10.1152/jn.01146. 2011
Ultra-Low Power Storage for Sensor Networks

Local storage is required in many sensor network applications, both for archival of detailed event information, as well as to overcome sensor platform memory constraints. While extensive measurement studies have been performed to highlight the trade-off between computation and communication in sensor networks, the role of storage has received little attention. The storage subsystems on currently available sensor platforms have not exploited technology trends, and consequently the energy cost of storage on these platforms is as high as that of communication. Current flash memories, however, offer a low-priced, highcapacity and extremely energy-efficient storage solution. In this paper, we perform a comprehensive evaluation of the active and sleep-mode energy consumption of available flash-based storage options for sensor platforms. Our results demonstrate more than a 100-fold decrease in per-byte energy consumption for surface-mount parallel NAND flash in comparison with the MicaZ on-board serial flash. In addition, this dramatically reduces storage energy costs relative to communication, introducing a new dimension in traditional computation vs communication trade-offs. Our results have significant ramifications on the design of sensor platforms as well as on the energy consumption of sensing applications. We quantify the potential energy gains for three commonly used sensor network services: communication, in-network data aggregation, and localization. Our measurements show significant improvements in each service: 50-fold and up to 10-fold reductions in energy for communication and data aggregation, and a 2.5-fold increase in accuracy of localization.
Using ego-centered affordances in multi-agent traffic simulation

To improve the validity of traffic simulations in urban and suburban areas, we propose to consider the driving context and the driver behavior in terms of space occupation. We endow agent driver with an ego-centered representation of the environment. This representation permits the agent to take a decision in terms of space occupation. Our agent driver model is based on the concept of affordances - the ways in which an agent can interact with its environment. First, we use the concept of affordances to identify the possible actions, in terms of space occupation, afforded by the environment. Second, we use an ego-centered representation of the situation around the agent, composed by the identified affordances. The proposed driver model was implemented with ArchiSim and the experiments show that this model makes traffic more fluid.
A cross-etiology comparison of the socio-emotional behavioral profiles associated with attention-deficit/hyperactivity disorder and specific language impairment

Abstract Cross-etiology comparisons provide important information that can help practitioners establish criteria for differential diagnosis and tailor interventions towards the source of children’s difficulties. This study examined the extent to which parent rating scales of socioemotional behavioral difficulties differentiate cases of attention-deficit/hyperactivity disorder (ADHD) from cases of specific language impairment (SLI), and typical development (TD). Parents of 60 children (7–8 years) completed the Child Behavior Checklist (Achenbach & Rescorla, 2001) and the Conners Parent Rating Scale-Revised (Conners, 2004). Significant differences were observed between ratings provided for the children with ADHD and the children with SLI and TD across several scales which assessed behavioral and emotional difficulties. Most of the observed differences between ratings provided for the SLI and TD groups were not significant when nonverbal IQ was treated as a covariate or when syndrome scales were adjusted for the presence of language and academic items. In contrast, these adjustments had little impact on observed differences between the children with ADHD and the other groups. These results highlight important and clinically useful differences between the scope and the scale of socioemotional behavior difficulties associated with ADHD and SLI.
Mental Models: A Survey

This paper reviews a class of cognitive representations collectively known as mental models. These representations purport to integrate certain aspects of propositional and imagistic theories of knowledge representation while enabling more detailed theories of human cognitive behavior. This paper explores the nature of mental models by considering basic philosophical issues including ontology and semantics. Psychological evidence supporting the existence and identifying characteristics of these models are reviewed in the areas of comprehension, problem solving, and learning. Where available, computational implementations of mental model theories are discussed. After a comparison of mental models with more conventional knowledge representations, a brief discussion and directions for future research are given.
Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering

In this paper, we integrate symmetric NMF and normalized cut into a single clustering framework and derive the computational algorithm. Another contribution is to provide a new matrix inequality which is useful for the analysis of 4-th order matrix polynomials. We perform experiments on three real-life data sets to show the effectiveness of the proposed algorithm. We also demonstrate the importance of the orthogonality among matrix factors.
Syndecans in inflammation

Cell surface heparan sulfate (HS) influences a multitude of molecules, cell types, and processes relevant to inflammation. HS binds to cell surface and matrix proteins, cytokines, and chemokines. These interactions modulate inflammatory cell maturation and activation, leukocyte rolling, and tight adhesion to endothelium, as well as extravasation and chemotaxis. The syndecan family of transmembrane proteoglycans is the major source of cell surface HS on all cell types. Recent in vitro and in vivo data suggest the involvement of syndecans in the modulation of leukocyte–endothelial interactions and extravasation, the formation of chemokine and kininogen gradients, participation in chemokine and growth factor signaling, as well as repair processes. Thus, the complex role of HS in inflammation is reflected by multiple functions of its physiological carriers, the syndecans. Individual and common functions of the four mammalian syndecan family members can be distinguished. Recently generated transgenic and knockout mouse models will facilitate analysis of the individual processes that each syndecan is involved in.
Characteristics and Prediction of RNA Structure

RNA secondary structures with pseudoknots are often predicted by minimizing free energy, which is NP-hard. Most RNAs fold during transcription from DNA into RNA through a hierarchical pathway wherein secondary structures form prior to tertiary structures. Real RNA secondary structures often have local instead of global optimization because of kinetic reasons. The performance of RNA structure prediction may be improved by considering dynamic and hierarchical folding mechanisms. This study is a novel report on RNA folding that accords with the golden mean characteristic based on the statistical analysis of the real RNA secondary structures of all 480 sequences from RNA STRAND, which are validated by NMR or X-ray. The length ratios of domains in these sequences are approximately 0.382L, 0.5L, 0.618L, and L, where L is the sequence length. These points are just the important golden sections of sequence. With this characteristic, an algorithm is designed to predict RNA hierarchical structures and simulate RNA folding by dynamically folding RNA structures according to the above golden section points. The sensitivity and number of predicted pseudoknots of our algorithm are better than those of the Mfold, HotKnots, McQfold, ProbKnot, and Lhw-Zhu algorithms. Experimental results reflect the folding rules of RNA from a new angle that is close to natural folding.
Management strategies for patients with pulmonary hypertension in the intensive care unit*

Objective:Pulmonary hypertension may be encountered in the intensive care unit in patients with critical illnesses such as acute respiratory distress syndrome, left ventricular dysfunction, and pulmonary embolism, as well as after cardiothoracic surgery. Pulmonary hypertension also may be encountered in patients with preexisting pulmonary vascular, lung, liver, or cardiac diseases. The intensive care unit management of patients can prove extremely challenging, particularly when they become hemodynamically unstable. The objective of this review is to discuss the pathogenesis and physiology of pulmonary hypertension and the utility of various diagnostic tools, and to provide recommendations regarding the use of vasopressors and pulmonary vasodilators in intensive care. Data Sources and Extraction:We undertook a comprehensive review of the literature regarding the management of pulmonary hypertension in the setting of critical illness. We performed a MEDLINE search of articles published from January 1970 to March 2007. Medical subject headings and keywords searched and cross-referenced with each other were: pulmonary hypertension, vasopressor agents, therapeutics, critical illness, intensive care, right ventricular failure, mitral stenosis, prostacyclin, nitric oxide, sildenafil, dopamine, dobutamine, phenylephrine, isoproterenol, and vasopressin. Both human and animal studies related to pulmonary hypertension were reviewed. Conclusions:Pulmonary hypertension presents a particular challenge in critically ill patients, because typical therapies such as volume resuscitation and mechanical ventilation may worsen hemodynamics in patients with pulmonary hypertension and right ventricular failure. Patients with decompensated pulmonary hypertension, including those with pulmonary hypertension associated with cardiothoracic surgery, require therapy for right ventricular failure. Very few human studies have addressed the use of vasopressors and pulmonary vasodilators in these patients, but the use of dobutamine, milrinone, inhaled nitric oxide, and intravenous prostacyclin have the greatest support in the literature. Treatment of pulmonary hypertension resulting from critical illness or chronic lung diseases should address the primary cause of hemodynamic deterioration, and pulmonary vasodilators usually are not necessary.
Identification of Maize Long Non-Coding RNAs Responsive to Drought Stress

Long non-coding RNAs (lncRNAs) represent a class of riboregulators that either directly act in long form or are processed to shorter miRNAs and siRNAs. Emerging evidence shows that lncRNAs participate in stress responsive regulation. In this study, to identify the putative maize lncRNAs responsive to drought stress, 8449 drought responsive transcripts were first uploaded to the Coding Potential Calculator website for classification as protein coding or non-coding RNAs, and 1724 RNAs were identified as potential non-coding RNAs. A Perl script was written to screen these 1724 ncRNAs and 664 transcripts were ultimately identified as drought-responsive lncRNAs. Of these 664 transcripts, 126 drought-responsive lncRNAs were highly similar to known maize lncRNAs; the remaining 538 transcripts were considered as novel lncRNAs. Among the 664 lncRNAs identified as drought responsive, 567 were upregulated and 97 were downregulated in drought-stressed leaves of maize. 8 lncRNAs were identified as miRNA precursor lncRNAs, 62 were classified as both shRNA and siRNA precursors, and 279 were classified as siRNA precursors. The remaining 315 lncRNAs were classified as other lncRNAs that are likely to function as longer molecules. Among these 315 lncRNAs, 10 are identified as antisense lncRNAs and 7 could pair with 17 CDS sequences with near-perfect matches. Finally, RT-qPCR results confirmed that all selected lncRNAs could respond to drought stress. These findings extend the current view on lncRNAs as ubiquitous regulators under stress conditions.
A review of the invasion of Drosophila suzukii in Europe and a draft research agenda for integrated pest management

The vinegar fly Drosophila suzukii (Matsumura) (Diptera Drosophilidae), spotted wing drosophila, is a highly polyphagous invasive pest endemic to South East Asia, which has recently invaded western countries. Its serrated ovipositor allows this fly to lay eggs on and damage unwounded ripening fruits, thus heavily threatening fruit production. D. suzukii is spreading rapidly and economic losses are severe, thus it is rapidly becoming a pest of great concern. This paper reviews the existing knowledge on the pest life history and updates its current distribution across Europe. D. suzukii presence has now been reported in nine European countries. Nonetheless, several knowledge gaps about this pest still exist and no efficient monitoring tools have been developed yet. This review is aimed at highlighting the possible research approach which may hopefully provide management solutions to the expanding challenge that D. suzukii poses to European fruit production.
Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster

Krylov subspace projection methods are widely used iterative methods for solving large-scale linear systems of equations. Researchers have demonstrated that communication avoiding (CA) techniques can improve Krylov methods' performance on modern computers, where communication is becoming increasingly expensive compared to arithmetic operations. In this paper, we extend these studies by two major contributions. First, we present our implementation of a CA variant of the Generalized Minimum Residual (GMRES) method, called CAGMRES, for solving no symmetric linear systems of equations on a hybrid CPU/GPU cluster. Our performance results on up to 120 GPUs show that CA-GMRES gives a speedup of up to 2.5x in total solution time over standard GMRES on a hybrid cluster with twelve Intel Xeon CPUs and three Nvidia Fermi GPUs on each node. We then outline a domain decomposition framework to introduce a family of preconditioners that are suitable for CA Krylov methods. Our preconditioners do not incur any additional communication and allow the easy reuse of existing algorithms and software for the sub domain solves. Experimental results on the hybrid CPU/GPU cluster demonstrate that CA-GMRES with preconditioning achieve a speedup of up to 7.4x over CAGMRES without preconditioning, and speedup of up to 1.7x over GMRES with preconditioning in total solution time. These results confirm the potential of our framework to develop a practical and effective preconditioned CA Krylov method.
INTELLIGENT SCADA FOR LOAD CONTROL

This paper presents the use of intelligent system with Supervisory control and data acquisition system (SCADA) Software and hardware components platform like PLC considered as the main contents of this project. SCADA software enables us to monitor, record data whenever required from the hardware installed and gives the status of the main power system components like motors, relays, panels, feeders, furnaces, etc. Feature of the design intends load control, distribution and history readings. A small hardware model shows the conveyer application which interface with SCADA and PLC. The application implemented on ladder logic simulation with KGL_WE simulator and SCADA helps to shows real time information about the system.
Autoantibody against peroxiredoxin I, an antioxidant enzyme, in patients with systemic sclerosis: possible association with oxidative stress.

OBJECTIVES To determine the prevalence and clinical correlation of autoantibody to peroxiredoxin (Prx) I, an antioxidant enzyme, in patients with systemic sclerosis (SSc). METHODS Serum samples from SSc patients (n = 70) and healthy controls (n = 23) were examined by ELISA using human recombinant Prx I. The presence of anti-Prx I antibody was further evaluated by immunoblotting analysis. To determine the functional relevance of anti-Prx I antibody in vivo, we assessed whether anti-Prx I antibody was able to inhibit Prx I enzymatic activity using yeast thioredoxin reductase system. RESULTS IgG anti-Prx I antibody levels in SSc patients were significantly higher than healthy controls and this autoantibody was detected in 33% of SSc patients. The presence of IgG anti-Prx I antibody was associated with longer disease duration, more frequent presence of pulmonary fibrosis, heart involvement, and anti-topoisomerase I antibody and increased levels of serum immunoglobulin and erythrocyte sedimentation rates. IgG anti-Prx I antibody levels also correlated positively with renal vascular damage and negatively with pulmonary function tests. Furthermore, anti-Prx I antibody levels correlated positively with serum levels of 8-isoprostane, a marker of oxidative stress. Immunoblotting analysis confirmed the presence of anti-Prx I antibody. Remarkably, Prx I enzymatic activity was inhibited by IgG isolated from SSc sera containing IgG anti-Prx I antibody. CONCLUSIONS These results suggest that elevated IgG anti-Prx I autoantibody is associated with the disease severity of SSc and that anti-PrxI antibody may enhance the oxidative stress by inhibiting Prx I enzymatic activity.
Rescue of Motor Coordination by Purkinje Cell-Targeted Restoration of Kv3.3 Channels in Kcnc3-Null Mice Requires Kcnc1

The role of cerebellar Kv3.1 and Kv3.3 channels in motor coordination was examined with an emphasis on the deep cerebellar nuclei (DCN). Kv3 channel subunits encoded by Kcnc genes are distinguished by rapid activation and deactivation kinetics that support high-frequency, narrow action potential firing. Previously we reported that increased lateral deviation while ambulating and slips while traversing a narrow beam of ataxic Kcnc3-null mice were corrected by restoration of Kv3.3 channels specifically to Purkinje cells, whereas Kcnc3-mutant mice additionally lacking one Kcnc1 allele were partially rescued. Here, we report mice lacking all Kcnc1 and Kcnc3 alleles exhibit no such rescue. For Purkinje cell output to reach the rest of the brain it must be conveyed by neurons of the DCN or vestibular nuclei. As Kcnc1, but not Kcnc3, alleles are lost, mutant mice exhibit increasing gait ataxia accompanied by spike broadening and deceleration in DCN neurons, suggesting the facet of coordination rescued by Purkinje-cell-restricted Kv3.3 restoration in mice lacking just Kcnc3 is hypermetria, while gait ataxia emerges when additionally Kcnc1 alleles are lost. Thus, fast repolarization in Purkinje cells appears important for normal movement velocity, whereas DCN neurons are a prime candidate locus where fast repolarization is necessary for normal gait patterning.
Bacteriophage T4 Nanoparticles as Materials in Sensor Applications: Variables That Influence Their Organization and Assembly on Surfaces

Bacteriophage T4 nanoparticles possess characteristics that make them ideal candidates as materials for sensors, particularly as sensor probes. Their surface can be modified, either through genetic engineering or direct chemical conjugation to display functional moieties such as antibodies or other proteins to recognize a specific target. However, in order for T4 nanoparticles to be utilized as a sensor probe, it is necessary to understand and control the variables that determine their assembly and organization on a surface. The aim of this work is to discuss some of variables that we have identified as influencing the behavior of T4 nanoparticles on surfaces. The effect of pH, ionic strength, substrate characteristics, nanoparticle concentration and charge was addressed qualitatively using atomic force microscopy (AFM).
Superparticle and superstring in AdS3×S3 Ramond–Ramond background in the light-cone gauge

We discuss superparticle and superstring dynamics in AdS3×S3 supported by R–R 3-form background using light-cone gauge approach. Starting with the superalgebra psu(1,1|2)⊕psu∼(1,1|2) representing the basic symmetry of this background we find the light-cone superparticle Hamiltonian. We determine the harmonic decomposition of light-cone superfield describing fluctuations of type IIB supergravity fields expanded near AdS3×S3 background and thus the corresponding Kaluza–Klein spectrum. We fix the fermionic and bosonic light-cone gauges in the covariant Green–Schwarz AdS3×S3 superstring action and find the corresponding light-cone string Hamiltonian. We also obtain a realization of the generators of psu(1,1|2)⊕psu∼(1,1|2) in terms of the superstring 2-d fields in the light-cone gauge.
Remodelling the Life Course: Making the Most of Life with Multiple Sclerosis

The aim of the study was to develop a substantive grounded theory on how to live a life as good as possible with multiple sclerosis (MS). The question of how to improve the quality of life is of key importance when speaking of a chronic illness like MS. We still have little knowledge of this important question from the patients’ perspective. Classic grounded theory was used to explore patients’ experiences of living with MS. The aim was to identify their main concern and how they process this concern at different phases in their life course. Twenty-one interviews were conducted with 17 participants diagnosed with multiple sclerosis. Participant observation at five courses for people with a multiple sclerosis diagnosis generated field notes. The participants’ main concern was how to live a life as good as possible in spite of their deteriorating health. The participants met this challenge through a process of remodelling the life course, in four phases: postponing (keeping up a normal life), adjusting (moving on to a changed life), restructuring (doing the best of it in a changed life), and transforming (preventing illness from controlling life). The remodelling process is influenced by the individual context, like the current health situation, biography, relations, and structural conditions. The process of remodelling helps us understand what facilitates and what hinders patients with MS from living a good life.