Miracle-dz/UniFAR-FTUs huggingface dataset:
Spacecraft thermal design with the Generalized Extremal Optimization Algorithm

This article describes an application of the Generalized Extremal Optimization (GEO) algorithm to the inverse design of a spacecraft thermal control system. GEO is a recently proposed global search meta-heuristic (Sousa, F.L. and Ramos, F.M., 2002, Function optimization using extremal dynamics. In: Proceedings of the 4th International Conference on Inverse Problems in Engineering (cd-rom), Rio de Janeiro, Brazil. ; Sousa, F.L. , Ramos, F.M. , Paglione, P. and Girardi, R.M. , 2003, New stochastic algorithm for design optimization. AIAA Journal, 41(9), 1808–1818. ; Sousa, F.L. , Ramos, F.M. , Galski, R.L. and Muraoka, I. , 2005, Chapter III. In: L.N. De Castro and F.J. Von Zuben (Eds) Generalized Extremal Optimization: A New Meta-heuristic Inspired by a Model of Natural Evolution, Accepted for publication in Recent Developments in Biologically Inspired Computing (Hershey, PA: Idea Group Inc.). ) based on a model of natural evolution (Bak, P. and Sneppen, K., 1993, Punctuated equilibrium and criticality in a simple model of evolution. Physical Review Letters, 71(24), 4083–4086), and specially devised to be used in complex optimization problems (Sousa, F.L., Vlassov, V. and Ramos, F.M., 2002, Heat pipe design through generalized extremal optimization. In: Proceedings of the IX Brazilian Congress of Engineering and Thermal Sciences – ENCIT 2002, Caxambu, MG, Brazil.). GEO is easy to implement, has only one free parameter to adjust, does not make use of derivatives and can be applied to constrained or unconstrained problems, and to non-convex or even disjoint design spaces with any combination of continuous, discrete, or integer variables. The application reported here concerns the optimum design of a simplified configuration of the Brazilian Multi-mission Platform (in Portuguese, Plataforma Multi-missão, PMM) thermal control subsystem, comprising five radiators and one battery heater. The PMM is a multi-purpose space platform to be used in different types of missions such as Earth observation, scientific, or meteorological data collecting. The design procedure is tackled as a multiobjective optimization problem, considering two critical cases, operational hot case (HC) and cold case (CC). The results indicate the existence of non-intuitive, new and more efficient design solutions.
In Vivo Transduction of Central Neurons Using Recombinant Sindbis Virus

A new recombinant virus which labeled the infected neurons in a Golgi stainlike fashion was developed. The virus was based on a replication-defective Sindbis virus and was designed to express green fluorescent protein with a palmitoylation signal (pal-GFP). When the virus was injected into the ventrobasal thalamic nuclei, many neurons were visualized with the fluorescence of palGFP in the injection site. The labeling was enhanced by immunocytochemical staining with an antibody to green fluorescent protein to show the entire configuration of the dendrites. Thalamocortical axons of the infected neurons were also intensely immunostained in the somatosensory cortex. In contrast to palGFP, when DsRed with the same palmitoylation signal (palDsRed) was introduced into neurons with the Sindbis virus, palDsRed neither visualized the infected neurons in a Golgi stain-like manner nor stained projecting axons in the cerebral cortex. The palDsRed appeared to be aggregated or accumulated in some organelles in the infected neurons. Anterograde labeling with palGFP Sindbis virus was very intense, not only in thalamocortical neurons but also in callosal, striatonigral, and nigrostriatal neurons. Occasionally there were retrogradely labeled neurons that showed Golgi stain-like images. These results indicate that palGFP Sindbis virus can be used as an excellent anterograde tracer in the central nervous system.
Optimization of cooperation in wireless Ad-hoc Network

To enforce co-operation it is of utmost importance that there should be means to identify malicious, selfish and other nodes, so that it is known with whom to co-operate and not co-operate . As discussed previously there are many kinds of nodes in a network Co-operative network or co-operative communication is a promising technique to improve throughput, reduce power consumption and reduce the packet loss rate. J.P. Hubaux (5) was the first one to bring out the concept of co-operation in 2001.Wireless medium has a broadcast nature and this communication takes that advantage by overhearing the ongoing transmissions, in case of weak and unreliable wireless links. Co-operative communication (7) can be applied in various networks like ad-hoc, mobile, sensor, mesh and the latest vehicular network (23) Co-operation is not just relaying or forwarding source's data but it has many other flavors too. Nodes like source and the relays can co-operate to forward the data together, they can co-operate in deciding the contention window size and can also co-operate in detecting and removing the attacker nodes. A fixed wireless network uses point co-ordinate function (PCF) and an ad hoc wireless network uses distributed coordinate function (DCF).
derfinder : Software for annotation-agnostic RNA-seq differential expression analysis

Background Differential expression analysis of RNA sequencing (RNA-seq) data typically relies on reconstructing transcripts or counting reads that overlap known gene structures. Previously we introduced an intermediate approach called differentially expressed region (DER) finder that seeks to identify contiguous regions of the genome showing differential expression signal at single base resolution that does not rely on existing annotation or potentially inaccurate transcript discovery. However, there were computational challenges involved with performing base-resolution analyses in large numbers of samples at genome scale. Results Here we describe a new version of the derfinder software that allows for: (1) genomescale analyses in a large number of samples, (2) flexible statistical modeling, including multi-group and time course analyses, and (3) a new, computationally efficient approach to re-analysis at base resolution called expressed-region analysis. We also introduce functionality for annotating and plotting base-resolution data to identify artifacts and confirm results. We apply this approach 1 2015/02/17 . CC-BY 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi. org/10.1101/015370 doi: bioRxiv preprint first posted online Feb. 19, 2015;
Identification in Auction Models with Interdependent Costs

This paper provides a nonparametric identification result for procurement models with asymmetric bidders, dependent private information, and interdependent costs. For risk-neutral bidders, the model’s payoff-relevant primitives are the joint distribution of private information and each bidder’s full-information expected cost. The joint distribution of bids identifies the joint distribution of signals. First-order conditions identify the expected cost conditional on tying with at least one competitor for the lowest bid. I show identification of each bidder’s full-information cost, using variation in competitors’ cost shifters that are excludable from bidders’ own full-information costs, and generate variation in the set of competitors’ signals that induce a tie for the lowest bid. I estimate the relevant payoff primitives using data from Michigan highway procurements and evaluate policies that affect the winner’s curse’s severity.
The Origin and Trustworthiness of Data in Smart City Applications

Mobile devices and their sensors facilitate the development of a large range of environment-sensing applications and systems. Crowd sensing is used to feed smart city applications with anonymous but still relevant data. The quality and success of smart city applications depend on several aspects of user involvement, such as data trust and information about data origin. However, with the anonymity and openness of crowd sensing, smart city applications are exposed to untrustworthy and malicious data that can lead to poor decisions. In this paper, we propose a cloud architecture for smart city applications that includes, as a core service, a reputation system for evaluating the trustworthiness of crowd sensing data. This service will run locally, as close to the crowd as possible, for example, on wireless local area network (WLAN) access points (AP). Additionally, data stored in the cloud is traceable by its origin information.
Activation of a Rel‐A/CEBP‐β‐related transcription factor heteromer by PGG‐Glucan in a murine monocytic cell line

PGG‐Glucan is a soluble β‐glucan immunomodulator that enhances a variety of leukocyte microbicidal activities without activating inflammatory cytokines. Although several different cell surface receptors for soluble (and particulate) β‐glucans have been described, the signal transduction pathway(s) used by these soluble ligands have not been elucidated. Previously we reported that PGG‐Glucan treatment of mouse BMC2.3 macrophage cells activates a nuclear factor κ‐B‐like (NF‐κB) transcription factor complex containing subunit p65 (rel‐A) attached to an unidentified cohort. In this study, we identify the cohort to be a non‐rel family member: a CCAAT enhancer‐binding protein‐β (C/EBP‐β)‐related molecule with an apparent size of 48 kDa, which is a different protein than the previously identified C/EBP‐β p34 also present in these cells. C/EBP‐β is a member of the bZIP family whose members have previously been shown to interact with rel family members. This rel/bZIP heteromer complex activated by PGG‐Glucan is different from the p65/p50 rel/rel complex induced in these cells by lipopolysaccharide (LPS). Thus, our data demonstrate that PGG‐Glucan uses signal transduction pathways different from those used by LPS, which activates leukocyte microbicidal activities and inflammatory cytokines. We further show that heteromer activation appears to use protein kinase C (PKC) and protein tyrosine kinase (PTK) pathways, but not mitogen‐activated protein kinase p38. Inhibitor κ‐B‐α (IκB‐α) is associated with the heteromer; this association decreases after PGG‐Glucan treatment. These data are consistent with a model whereby treatment of BMC2.3 cells with PGG‐Glucan activates IκB‐α via PKC and/or PTK pathways, permitting translocation of the rel‐A/CEBP‐β heteromer complex to the nucleus and increases its DNA‐binding affinity. J. Cell. Biochem. 77:221–233, 2000. © 2000 Wiley‐Liss, Inc.
Formulation and Characterization of Pyrazinamide Polymeric Nanoparticles for Pulmonary Tuberculosis: Efficiency for Alveolar Macrophage Targeting

Pyrazinamide, a highly specific agent against Mycobacterium tuberculosis is used as first-line drug to treat tuberculosis. The current work aims to formulate polymeric nanoparticles based drug delivery system to sustain the release profile and reduce the dosing frequency of pyrazinamide. Further aim was to target the macrophages within body fluid. These polymeric nanoparticles were prepared by simultaneous double-emulsion (W/O/W) solvent evaporation/diffusion technique. The prepared dispersions were characterized for various biopharmaceutical parameters such as particle size, zeta potential, polydispersity index, drug loading capacity, entrapment efficiency and targeting to alveolar macrophages. The formulated polymeric nanoparticles were in the particle size range of 45.51 to 300.4 nm with a maximum drug entrapment efficiency of 80.9%. The stability study of optimized batch conducted at 40±2°/75±5% relative humidity showed no significant changes up to 90 days. X-Ray Diffraction spectrum exhibits the transformation of crystalline form of drug to amorphous in the formulation. Scanning Electron Microscope image showed nanoparticles spherical in shape with smooth surface. In vitro release profiles were biphasic in nature with burst release followed by controlled release over a period of 24 h obeying diffusion mechanism. In vivo and ex vivo studies results of the study show significant uptake of the nanoparticles by alveolar macrophages through fluorescent micrograph. Polymeric nanoparticles formulation of pyrazinamide could encompass significant uptake by alveolar macrophages, the high first-pass metabolism, sustain the release of drug leading to reduction in dose, toxicity and improvement of patient compliance.
Personalized Pseudophakic Model for Refractive Assessment

Purpose To test a pseudophakic eye model that allows for intraocular lens power (IOL) calculation, both in normal eyes and in extreme conditions, such as post-LASIK. Methods Participants: The model’s efficacy was tested in 54 participants (104 eyes) who underwent LASIK and were assessed before and after surgery, thus allowing to test the same method in the same eye after only changing corneal topography. Modelling The Liou-Brennan eye model was used as a starting point, and biometric values were replaced by individual measurements. Detailed corneal surface data were obtained from topography (Orbscan®) and a grid of elevation values was used to define corneal surfaces in an optical ray-tracing software (Zemax®). To determine IOL power, optimization criteria based on values of the modulation transfer function (MTF) weighted according to contrast sensitivity function (CSF), were applied. Results Pre-operative refractive assessment calculated by our eye model correlated very strongly with SRK/T (r = 0.959, p<0.001) with no difference of average values (16.9±2.9 vs 17.1±2.9 D, p>0.05). Comparison of post-operative refractive assessment obtained using our eye model with the average of currently used formulas showed a strong correlation (r = 0.778, p<0.001), with no difference of average values (21.5±1.7 vs 21.8±1.6 D, p>0.05). Conclusions Results suggest that personalized pseudophakic eye models and ray-tracing allow for the use of the same methodology, regardless of previous LASIK, independent of population averages and commonly used regression correction factors, which represents a clinical advantage.
A Hybrid Semi-fragile Image Watermarking Technique Using SVD-BND Scheme for Tampering Detection with Dual Authentication

This research paper proposes a hybrid combination of semi-fragile Singular Value Decomposition (SVD) accompanied by Binocular Notification Difference (BND) for stereoscopic image watermarking pattern. The proposed model originated with two basic segments. At initial stage the logical intrinsic algebraic properties is used to generate content dependent watermarking through Mersenne Twister Algorithm. Once the generation of watermarking content, the BND scheme is directing the watermark embedding process. The BND inherits the tradeoff between total watermark content with clarity on visual acuity. The anticipated approach enriched through dual authentication method by chaotic map method to ensure credibility on security. Consequently the projected hybrid model is equated with other models in experimental results and analysis. This model is ensures the optimal performance against other methods in terms of tamper detection with authentication.
Automated Test Execution Effort Estimation Based on Functional Test Specifications

A usual activity performed to ensure quality is software testing. Although important, testing is an expensive activity. For that reason, test teams should be able to estimate the required effort to perform their test activities on the schedule and to request more resources or negotiate deadlines when necessary. This is even more important when regarding regression testing, where the execution of hundred of tests may be required to verify if a software application still working after some change in the code. In order to estimate the effort to execute the tests of a given test suite, we proposed an automated effort estimation model that regards test size and execution complexity measured from functional test specifications written in natural language. This paper describes a tool that supports the measurement of test size and execution complexity, as well as the estimation of test execution effort. The tool was designed to be extended according to the customers needs, such as different estimation models, file formats of test specifications, parsers APIs, etc.
Structure and thermodynamics of square-well and square-shoulder fluids

We have reinvestigated the structural and thermodynamic properties of the square-well and the square-shoulder system using two different theoretical frameworks, i.e., the optimized random-phase approximation and the Rogers-Young integral equation. We discuss the limits of applicability of the respective concepts and compare the results with `exact' Monte Carlo simulation results and with data obtained from a semi-analytic method proposed by Nezbeda for narrow wells. Using these correlation functions, we study in the framework of the modified-weighted-density approximation the isostructural solid-solid transition predicted for narrow wells and narrow shoulders.
Acceptance and Attitudes Toward a Human-like Socially Assistive Robot by Older Adults

Recent studies have shown that cognitive and social interventions are crucial to the overall health of older adults including their psychological, cognitive, and physical well-being. However, due to the rapidly growing elderly population of the world, the resources and people to provide these interventions is lacking. Our work focuses on the use of social robotic technologies to provide person-centered cognitive interventions. In this article, we investigate the acceptance and attitudes of older adults toward the human-like expressive socially assistive robot Brian 2.1 in order to determine if the robot’s human-like assistive and social characteristics would promote the use of the robot as a cognitive and social interaction tool to aid with activities of daily living. The results of a robot acceptance questionnaire administered during a robot demonstration session with a group of 46 elderly adults showed that the majority of the individuals had positive attitudes toward the socially assistive robot and its intended applications.
The impact of alliance network structure on firm innovation capability

Purpose – The purpose of this paper is to investigate the impact of large‐scale collaboration network structure on firm innovation capability.Design/methodology/approach – The authors utilize negative binomial regression models to explore the relationships between network structure and patent productivity.Findings – Results demonstrate that firms embedded in alliance networks with higher reach will have greater innovative output, but fail to support the higher clustering enhances innovative productivity significantly, which is different from recent concerns regarding positive effects of higher clustering on patent output. The authors also find that the effect of alliance network as a conduit of knowledge transfer decays over time. Furthermore, both clustering and reach have mutually positive effects on the firm innovation with increases in the other.Practical implications – Network structure attribute should be considered adequately when firms develop alliance activities and when relevant government depar.
Pubic Debt and U.S. Saving: a New Test of the Neutrality Hypothesis

The substantial post war decline in the U.S. saving rate has added great impetus to the debate over whether public debt policy crowds out saving. Rather than attempting to reject specific saving models, empirical research on debt policy and savings has primarily focused on the impact of particular policy variables on savings. In this paper we examine Barro's infinite horizon, intergenerationally altruistic model. A distinguishing feature of this modelis that aggregate consumption depends only on collective resources and not the age distribution of resources.To test this proposition we specify the Barro model under earnings uncertainty, rate of return uncertainty, and demographic change and test whether, given the level of consumption predicted by this model, variables measuring the age distribution of resources influence actual consumption. Data on the age distribution of resources are primarily obtained from the annual Current Population Surveys. Our results imply a rejection of the hypothesis that aggregate consumption is independent of the age distribution of resources.They therefore cast doubt on the contention that government debt policy does not affect consumption and saving.
Behaviors-based synthesis for character animation generation

We make a research on an implementation method related to how virtual characters achieve object operations in narrative story. Through an automatic generation method, tetrahedral parameterization is produced. This is used to realize the process of interpolation in motion blending. Similarly, an improved path finding algorithm is given by us to guide the character to avoid obstacles. The compound behaviors derived from the sematic-narrative story can be generated by the combination of locomotion, reaching, grasping. Through these sub-motions, the character animation is achieved. The behaviors-based synthesis for character animation generation, demonstrated by us, is supposed to be adopted for animation and game production.
Meeting the Unique Needs of Minorities with Disabilities. A Report to the President and the Congress.

This report presents results of a 1992 conference on the unique needs of minorities with disabilities. Major recommendations include: increased coordination of government policies and programs for this population; authorization of targeted research on minorities with disabilities; outreach efforts to ensure participation by minorities with disabilities; development of a data set sufficient to assess the incidence and prevalence of disabilities; and enforcement of the Americans with Disabilities Act (ADA). Also included are findings of a 1992 public hearing on how minorities with disabilities are faring under the ADA. Summaries of commissioned papers presented at the conference are also provided. Papers are as follows: (1) "Introduction: Minorities with Disabilities" (Paul Leung and Tennyson J. Wright); (2) "Educational Needs of Minorities with Disabilities" (Frederick D. Bedell); (3) "The Vocational Rehabilitation of Minorities" (Frank L. Giles); (4) "Employment of Minorities with Disabilities" (Alyce Earl Jenkins); (5) "Empowerment of Minorities with Disabilities" (Eva P. Britt); (6) "Mental Health and Minorities: Emerging Issues" (Timothy Summers); (7) "Prevention of Primary and Secondary Disabilities" (Julie Clay); (8) "Minorities, Physical Health and Disability" (Anita Leal); (9) "Substance Abuse and Disabilities among Minorities" (James G. Brown); and (10) "Research Needs Related to Minorities with Disabilities" (Paul Leung). Appendices include the conference program, list of conference participants, the ADA Watch Hearing agenda, and biographies of National Council personnel. (m)