Miracle-dz/UniFAR-FTUs huggingface dataset:
amAssist: In-IDE ambient search of online programming resources

Developers work in the IDE, but search online resources in the web browser. The separation of the working and search context often cause the ignorance of the working context during online search. Several tools have been proposed to integrate the web browser into the IDE so that developers can search and use online resources directly in the IDE. These tools enable only the shallow integration of the web browser and the IDE. Some tools allow the developer to augment search queries with program entities in the current snapshot of the code. In this paper, we present an in-IDE ambient search agent to bridge the separation of the developer's working context and search context. Our approach considers the developers' working context in the IDE as a time-series stream of programming event observed from the developer's interaction with the IDE over time. It supports the deeper integration of the working context in the entire search process from query formulation, custom search, to search results refinement and representation. We have implemented our ambient search agent and integrate it into the Eclipse IDE. We conducted a user study to evaluate our approach and the tool support. Our evaluation shows that our ambient search agent can better aid developers in searching and using online programming resources while working in the IDE.
Heart failure and dementia: survival in relation to types of heart failure and different dementia disorders

Heart failure (HF) and dementia frequently coexist, but little is known about their types, relationships to each other and prognosis. The aims were to (i) describe patients with HF and dementia, assess (ii) the proportion of specific dementia disorders in types of HF based on ejection fraction and (iii) the prognostic role of types of HF and dementia disorders.
On double Veronese embeddings in the Grassmannian 𝔾(1, N )

We classify all the embeddings of ℙn in a Grassmannian of lines 𝔾(1, N ) such that the composition with Plücker is given by a linear system of quadrics of ℙn . (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Estimating invariant measures and Lyapunov exponents

Abstract This paper describes a method for obtaining rigorous numerical bounds on time averages for a class of one-dimensional expanding maps. The idea is to directly estimate the absolutely continuous invariant measure for these maps, without computing trajectories. The main theoretical result is a bound on the convergence rate of the Frobenius—Perron operator for such maps. The method is applied to estimate the Lyapunov exponents for a planar map of recent interest.
Simple Vector Processor Modeled with VHDL

Vector architectures have proven to be the best choice if we want to achieve high performance when executing numerical applications and multimedia. In this paper we describe a project whose main goal is to obtain a detailed description of a traditional vector processor using VHDL Hardware Description Language. This work will be very useful for direct application on computer architecture and digital systems courses at universities. Research on power consumption and improved architectures can be benefited also.
P2P Solutions to Efficient Mobile Peer Collaboration in MANETs

P2P systems have shown useful to many types of distributed systems due to their features of efficient direct communication among peers. Although initially motivated by the need for efficient file sharing among large amount of peers, P2P techniques have found wide applicability to many domains within large scale distributed systems such as solving complex problems from science and engineering, data storage, etc. During the last years, P2P techniques have found their applicability to mobile computing, vehicular networking, MANETs, etc. In this paper we survey some P2P solutions to efficient management in MANETs. By using P2P techniques, MANETs can efficiently support collaboration among mobile peers as well as efficient data exchange.
The Energetics and Scaling of Search Strategies in Bacteria

The influence of body size on the energetic cost of movement is well studied in animals but has been rarely investigated in bacteria. Here, I calculate the cost of four chemotactic strategies for different‐sized bacteria by adding the costs of their locomotion and reorientation. Size differences of 0.1 μm result in 100,000‐fold changes in the energetic cost of chemotaxis. The exact cost for any given size is a nonlinear function of flagella length, the minimum speed necessary to detect and respond to a signal, and the gradient of the signal. These parameters are interlinked in such a way that body size and strategy are tightly coupled to particular environmental gradients, offering avenues for explaining and exploring diversity and competition. The analysis here has implications beyond bacteria. Power‐law regression through the minimum costs of transport for different kinds of chemotaxis has the same slope as that for swimming animals, suggesting a universal allometric equation for all swimming organisms.
The Magazine of Food, Farm, and Resource Issues Environmental Issues in Animal Agriculture Current Situation

The evolution of animal agriculture in North America is focusing increased attention on its impacts on water and air quality. The adoption of new technologies and the restructuring of the food and agricultural system are generating new economic and environmental impacts and influencing public perception about animal agriculture. The expansion of livestock and poultry production, particularly larger confined animal operations, is increasingly leading to private disputes and public issues concerning agricultural production and the environment. These disputes are leading to new patterns of costs and benefits and, in some cases, public policies that are affecting competitiveness of this sector. The issues and options to resolve them are complex and require increased understanding and involvement by all stakeholders. While new technologies to improve environmental performance and monitor progress will be developed, constraints on resources may limit implementation. Livestock and poultry farms generate manure, bedding, milk-house wash water, spilled feed and dead animals that, if not properly managed, can impact water quality. Animal manure and related byproducts contain elements that, under certain circumstances, might reach surface or ground water and cause pollution. The location of an animal operation plays a role in how pollutants may reach water and the magnitude of environmental damage. Animal production in grain deficient regions may generate manure nitrogen or manure phosphorus in excess of the assimilative ability of nearby land for manure application. Air quality issues associated with confined animal operations are traditionally nuisance concerns, such as odors, but there is increasing focus on possible links between dust and other particulates, ammonia and hydrogen sulfide from animal operations and human health. Concerns include the possible effects of ammonia and particulates on respiratory systems (e.g., asthma) and prolonged exposure to odors on mental health effects (e.g., depression). Only a relatively few studies (e.g., Thu et al., 1997; Wing & Wolf, 2000) have attempted to measure health impacts of odors and air emissions on nearby residents. There are scientific concerns about bioaerosols—tiny airborne particles that contain microorganisms or their byproducts—due to their potential for causing human and animal disease and microbial toxins. Bioaerosols may be released into the air by such practices as land application of animal biosolids, livestock wastewater spray irrigation, livestock wastewater injection or animal pen scraping. Other sources of bioaerosols include exhausted air from livestock confinement buildings, high winds that carry bioaerosols from open livestock wastewater systems and dust blown from outdoor livestock pens. Much more …
Habitat Characterization and Population Status of the Dusky Titi (Callicebus ornatus) in Fragmented Forests, Meta, Colombia

natural population of olive baboons (Papio cynocephalus anubis) in Gombe Stream National Park, Tanzania. Parasitology 15:621–627. Rey, L. 2001. Parasitologia. 3a edicao. Rio de Janeiro: Editora Guanabara-Koogan, 856 pp. Santos, S. M. C. , Nogueira, C. P., Carvalho, A. R. D. and Strier, K. B. 2004. Levantamento coproparasitologico em muriqui (Brachyteles aracnhoides hypoxanthus) da Estacao Biologica de Caratinga, MG. Em: Mendes, S. L. e Chiarello, A. G. , editores. A Primatologia no Brasil. Vol. 8. Vitoria: Instituto de Pesquisas da Mata Atlântica e Sociedade Brasileira de Primatologia. pp 327–332. Sasal, P., Durandi, P., Faliexl, E. and Morand, S. 2000. Experimental approach to the importance of parasitism in biological conservation. Mar. Ecol-Prog. Ser. 198:293–302. Stoner, K. E. 1996. Prevalence and intensity of intestinal parasites in mantled howling monkeys (Alouatta palliata) in northeastern Costa Rica: implications for conservation biology. Cons. Biol. 10:539–546. Strier, K. B. and Mendes, S. L. 2009. Long-term field studies of South American primates. Em: Garber, P. A. , Estrada, A. , Bicca-Marques, J. C. , Heymann, E. W. e Strier, K. B. , editores. South American primates: comparative perspectives in the study of behavior, ecology and conservation. New York: Springer. pp 139–155. Stuart, M. D. , Greenspan, L. L. , Glander, K. E. and Clarke, M. R. 1990. A coprological survey of parasites of wild mantled howling monkeys, Alouatta palliata palliata. J. Wildlife Dis. 26:547–549. Stuart, M. D. , Strier, K. B. and Pierberg, S. M. 1993. A coprological survey of parasites of wild muriquis, Brachyteles arachnoides and brown howling monkeys, Alouatta fusca. J. Helminthol. 60:111–115. Stuart, M. D. and Strier, K. B. 1995. Primates and parasites: a case for a multidisciplinary approach. Int. J. Primatol. 16:577–593. WHO. UNICEF. Global Water Supply and Sanitation Assessment 2000 Report. New York: UNICEF. 90 pp.
Multiple Camouflage Breaking by Co-Occurrence and Canny

Camouflage is the art of disguising an object to blend an object in a very similar background, Recognizing and visualizing the location of camouflaged target could be to a certain extent not easy problem, since a sophisticated human vision system also fails to achieve superior efficiency in discrimination. The primary goal of the research work is to detect such multiple camouflaged target because of matching background and different color combinations for images.
Magnetic-based closed-loop control of paramagnetic microparticles using ultrasound feedback

Controlling the motion of microrobots based on feedback provided using an imaging modality is essential to make them clinically viable. In this study, we demonstrate the wireless magnetic-based motion control of paramagnetic microparticles using ultrasound feedback. This control is accomplished by pulling the microparticles using the magnetic field gradients towards the reference position through feedback provided by an ultrasound system. First, position of the microparticles is determined using the ultrasound images. Second, calibration of the ultrasound-based tracking of microparticles is achieved and verified using a calibrated microscopic system. Third, the feedback provided by the ultrasound system is used in the implementation of a proportional-derivative magnetic-based control system. This control system allows us to achieve point-to-point control of microparticles with an average position tracking error of 48±59 μm, whereas a control system based on a microscopic system achieves an average position tracking error of 21±26 μm. The positioning accuracy accomplished using our ultrasound magnetic-based control system demonstrates the ability to control microrobotic systems in situations where visual feedback cannot be provided via microscopic systems.
PhD Project Proposal : Numerical Integration of Nonlinear Wave Models

This is a PhD project proposal for Morten Dahlby, the advisor is Brynjulf Owren. The topic of the project is numerical integration of nonlinear wave models, with special emphasis on structure preserving and geometric integrators. The goal is to study conservative nite di erence schemes, multi-symplectic integrators, exponential integrators and schemes based on Euler's equations. As a part of WaveMaker, the PhD project plans to adapt recent theoretical developments in the study of wave equations to the analysis of numerical methods.
State Estimation of the Time-Varying and Spatially Localized Concentration of Signal Molecules from the Stochastic Adsorption Dynamics on the Carbon Nanotube-Based Sensors and Its Application to Tumor Cell Detection

This paper addresses a problem of estimating time-varying, local concentrations of signal molecules with a carbon-nanotube (CNT)-based sensor array system, which sends signals triggered by monomolecular adsorption/desorption events of proximate molecules on the surfaces of the sensors. Such sensors work on nano-scale phenomena and show inherently stochastic non-Gaussian behavior, which is best represented by the chemical master equation (CME) describing the time evolution of the probabilities for all the possible number of adsorbed molecules. In the CME, the adsorption rate on each sensor is linearly proportional to the local concentration in the bulk phase. State estimators are proposed for these types of sensors that fully address their stochastic nature. For CNT-based sensors motivated by tumor cell detection, the particle filter, which is nonparametric and can handle non-Gaussian distributions, is compared to a Kalman filter that approximates the underlying distributions by Gaussians. In addition, the second-order generalized pseudo Bayesian estimation (GPB2) algorithm and the Markov chain Monte Carlo (MCMC) algorithm are incorporated into KF and PF respectively, for detecting latent drift in the concentration affected by different states of a cell.
Grief, Complicated Grief, and Trauma: The Role of the Search for Meaning, Impaired Self-Reference, and Death Anxiety

The present study explored the nature of grief and trauma following the loss of a loved one. The concept of complicated grief (CG) was investigated, and the overlapping symptoms of trauma, CG, and grief were explored. Comparisons were made between those who reported CG and/or trauma and those who did not report CG or trauma in relation to search for meaning, death anxiety, and self-regulation. The failure to find meaning in the death of a loved one, impaired self-reference, and death anxiety were found to play a significant role in both trauma and CG.
Rank Preserving Hashing for Rapid Image Search

In recent years, hashing techniques are becoming overwhelmingly popular for their high efficiency in handling large-scale computer vision applications. It has been shown that hashing techniques which leverage supervised information can significantly enhance performance, and thus greatly benefit visual search tasks. Typically, a modern hashing method uses a set of hash functions to compress data samples into compact binary codes. However, few methods have developed hash functions to optimize the precision at the top of a ranking list based upon Hamming distances. In this paper, we propose a novel supervised hashing approach, namely Rank Preserving Hashing (RPH), to explicitly optimize the precision of Hamming distance ranking towards preserving the supervised rank information. The core idea is to train disciplined hash functions in which the mistakes at the top of a Hamming-distance ranking list are penalized more than those at the bottom. To find such hash functions, we relax the original discrete optimization objective to a continuous surrogate, and then design an online learning algorithm to efficiently optimize the surrogate objective. Empirical studies based upon two benchmark image datasets demonstrate that the proposed hashing approach achieves superior image search accuracy over the state-of-the-art approaches.
An Algorithmic Approach to Predict Fault Propagation and Defects in Dependent Modules based on Coupling

is an enormous amount of research going on to minimize the effect of coupling between the software modules and to reduce the defects present in them. In this paper, an algorithmic approach is proposed that gives a probability, such that the highly dependent modules in system must be analyzed by the development team for fault proneness and defects. The higher the coupling, interdependency between the modules is increased and it is alarming issue in software engineering tasks. There is an enormous amount of research done on direct and indirect coupling, but this paper approaches on the effect of coupling to predict defects and how they are propagating between the modules. Every software product is tested for defects and bugs before it is given to acceptance testing to users. The paper focuses on testing the defect propagation percentage of every module in a dependent system (dependent modules). The greater the percentage of defect propagation factor between two dependent module, implies that the coupling between them is higher and the probability of the module to be fault prone increases. Taking this into consideration, the testing team saves the time by considering more on the modules for which the percentage defect propagation factor is higher. It ensures time, cost and efficiency which are the main factors of a software industry.
A Randomized, Double-Blind, Placebo-Controlled Trial to Evaluate the Efficacy, Safety, Tolerability, and Pharmacokinetic/Pharmacodynamic Effects of a Targeted Exposure of Intravenous Repinotan in Patients With Acute Ischemic Stroke: Modified Randomized Exposure Controlled Trial (mRECT)

Background and Purpose— Repinotan hydrochloride is a serotonin (5-HT)1A receptor full agonist with evidence of neuroprotection in animal models of permanent and transient focal ischemia. The purpose of this Phase IIb study was to investigate the efficacy, safety, and tolerability of a targeted exposure to repinotan in patients with acute ischemic stroke. Methods— This was a double-blind, placebo-controlled, parallel-group, multicenter study of 681 patients stratified according to whether or not tissue plasminogen activator was administered and then randomly assigned to treatment with repinotan or placebo. A continuous 72-hour intravenous infusion of repinotan or placebo was to be started within 4.5 hours from the onset of ischemic symptoms. A Point-of-Care test was used to adjust the infusion rate if appropriate. The goal of Modified Randomized Exposure Controlled Trial (mRECT) was to show whether repinotan is statistically superior to placebo (&agr;≤0.10) as measured by the response rate on the primary efficacy variable, Barthel Index (≥85) at 3 months, using a Cochran-Mantel-Haenszel test. Results— For the intention-to-treat population at 3 months, the response rate on the Barthel Index was 37.1% (127 of 342) for patients on repinotan and 42.4% (143 of 337) for patients taking the placebo (Cochran-Mantel-Haenszel probability value=0.149). No apparent safety concerns were identified. Conclusions— mRECT demonstrated the feasibility of conducting a rigorous trial using a short therapeutic window demanding clinical and radiographic criteria to optimize patient selection and a Point-of-Care test to achieve a targeted exposure to repinotan. The study failed to demonstrate a clinical benefit of repinotan. The development of repinotan in acute ischemic stroke was discontinued.
What Can Moral and Social Intuitionism Offer Ethics Education in Social Work? A Reflective Inquiry

There is broad agreement that attention to codes of ethics, ethical reasoning and social work values is an important component of any social work education. There appears to be less consensus about ethics content and how best to teach ethics and ethical practice. Situated within a reflexive methodology—and utilising a pair-interview technique—this paper presents the results of an inquiry designed to explore our practice as social work educators in the context of the debates about ethics in social work education. We found that our experience is best illustrated by a social intuitionist approach to moral development that has emerged in recent years. We found that this model developed by Jonathan Haidt can bridge the divide between rational and a socially situated and reflective approach to ethics, often considered appropriate to practice. We argue that the model also encompasses the way in which culture and learning can inform intuition as well as the role of critical reasoning in the formation of ethical judgements. The model fits closely with our experience as educators and we conclude the paper by linking classroom and field practices with different aspects of the model.
Bacteria in the Leaf Ecosystem with Emphasis onPseudomonas syringae—a Pathogen, Ice Nucleus, and Epiphyte

SUMMARY The extremely large number of leaves produced by terrestrial and aquatic plants provide habitats for colonization by a diversity of microorganisms. This review focuses on the bacterial component of leaf microbial communities, with emphasis on Pseudomonas syringae—a species that participates in leaf ecosystems as a pathogen, ice nucleus, and epiphyte. Among the diversity of bacteria that colonize leaves, none has received wider attention than P. syringae, as it gained notoriety for being the first recombinant organism (Ice− P. syringae) to be deliberately introduced into the environment. We focus on P. syringae to illustrate the attractiveness and somewhat unique opportunities provided by leaf ecosystems for addressing fundamental questions of microbial population dynamics and mechanisms of plant-bacterium interactions. Leaf ecosystems are dynamic and ephemeral. The physical environment surrounding phyllosphere microbes changes continuously with daily cycles in temperature, radiation, relative humidity, wind velocity, and leaf wetness. Slightly longer-term changes occur as weather systems pass. Seasonal climatic changes impose still a longer cycle. The physical and physiological characteristics of leaves change as they expand, mature, and senesce and as host phenology changes. Many of these factors influence the development of populations of P. syringae upon populations of leaves. P. syringae was first studied for its ability to cause disease on plants. However, disease causation is but one aspect of its life strategy. The bacterium can be found in association with healthy leaves, growing and surviving for many generations on the surfaces of leaves as an epiphyte. A number of genes and traits have been identified that contribute to the fitness of P. syringae in the phyllosphere. While still in their infancy, such research efforts demonstrate that the P. syringae-leaf ecosystem is a particularly attractive system with which to bridge the gap between what is known about the molecular biology of genes linked to pathogenicity and the ecology and epidemiology of associated diseases as they occur in natural settings, the field.
Software Performance Engineering of Databases

Software performance engineering deals with the performance evaluation of software systems during the software development lifecycle. Several approaches and methods have been proposed for performance evaluation of software systems, but they have mainly ignored the performance impact of database designs on overall software system performance. In this paper, we briefly outline a basic proposal to evaluate the performance of database designs in early software development phases.