Miracle-dz/UniFAR-FTUs huggingface dataset:
Establishing a Research and Demonstration Area Initiated by Managers: The Sharkey Restoration Research and Demonstration Site

innovation process consists of three steps: research to produce an innovation, disseminating knowledge of the innovation outside of scientific circles, and implementation of the innovation within a user community. Presently, technology transfer (the dissemination step) is a participatory model of science delivery with a push–pull dynamic: scientists push out generated knowledge and respond to pulls from users and the marketplace of ideas for researchable topics. Rogers (1995) connected the dissemination and implementation stages of the innovation process through the decision to implement a new technology. In our experience, the closer (physically as well as psychologically) researchers and managers are when at the crucial step of deciding to try an innovation the more likely that knowledge will be effectively and efficiently transferred. Studies in forestry and other natural resources management professions support the idea that closely linked social networks facilitate effective transmission of innovations (Baldwin and Haymond 1994, Haggith et al. 2003, Stanturf et al. 2003). We propose that one highly effective technique for delivering needed results to users is by establishing a research and demonstration site where managers and researchers can work collaboratively to answer pressing practical questions while developing a test bed to explore new innovative techniques or theoretical developments. The basic idea of a demonstration site is not novel; it is the primary method used in agriculture by extension specialists and agribusiness service providers (Leeuwis and van den Ban 2004). A well-known example in forestry is the model forest network (Forestry Canada 1992). In these examples, however, the purpose is usually to demonstrate or validate research conducted under experimentally controlled conditions. We suggest that an even more effective approach is to involve resource managers in the design of the research and installation of the research and demonstration site. In the following discussion, we will illustrate this approach by presenting our experience with the Sharkey Restoration Research and Demonstration Site (SRRDS), where, at the urging of a regional program manager (US Fish and Wildlife Service [USFWS]), a research and demonstration area was initiated in which foresters, refuge managers, and scientists are working collaboratively to address multiple questions relevant to restoration of bottomland hard-
An ANT Based Wireless Body Sensor Biofeedback Network for Medical E-Health Care

This paper presents an ultra low power wireless insole sensor biofeedback and gait analysis system for rehabilitation of balance control for post stroke patients and gait related rehabilitation. The system integrates ANT wireless protocol, a wireless home E-health care sensor network and open-source mobile device technology. The paper also presents methods to time synchronize the two sole sensors. The system has been evaluated and it shows good performance in power consumption, communication latency, coexistence with WiFi/BlueTooth/GSM.
Evolution of cancer of the colon and rectum

In this paper the opportunity is taken to describe the personal position of the speaker with respect to the evolution of cancer of the colon and rectum. A general account of the predisposing causes is presented, with emphasis on the malignant potential of adenomatous polyps and villous adenomas. The significance of the polyp–cancer sequence is discussed, and some evidence given about how long it takes for polyps to become cancerous. Some reference is also made to the etiologic significance of the polyp–cancer sequence. Do all cancers of the colon and rectum arise from adenomatous polyps or villous adenomas? An attempt will be made to answer this question and to review the alternatives to this mode of histogenesis.
The Interplay between Fear Reactivity and Callous–Unemotional Traits Predicting Reactive and Proactive Aggression

Research has indicated that youths with CU traits are fearless, and this fearlessness plays a bidirectional role in both the development of CU traits and engagement in aggressive behavior. However, research specifically testing the role of fear in the association between CU traits and aggression is scarce. The goal of the current study was to test if fear reactivity, both conscious (self-report) and automatic (skin conductance reactivity; SCR), moderated the association between CU traits and aggression subtypes (reactive and proactive aggression). Participants included 161 adolescents (Mage = 15 years) diagnosed with conduct disorder. CU traits were assessed using the self-report Inventory of Callous–Unemotional Traits. Conscious and automatic fear reactivity were measured during a virtual reality rollercoaster using the Self-Assessment Manikin and skin conductance reactivity (SCR), respectively. Hierarchical regressions found that high fear reactivity on SCR moderated the link between CU traits and reactive aggression, while feeling more excited during fear induction moderated the link between CU traits and proactive aggression. Overall, a possible explanation of our divergent findings between conscious and automatic fear may be the difference between the instinctual biological response to threat versus the cognitive and emotional appraisal and experience of threat. Implications for intervention strategies targeting emotional recognition and regulation in reducing aggression in CD populations are discussed.
Attitude of general dental practitioners towards child patients

Aim: to evaluate the willingness of general dental practitioners to provide dental care to children of various age group, the ole dental education plays in shaping future dentists’ attitudes and behaviours concerning treatment and various treatment procedures carried out for child patients in private dental setup. Methods: A 24-item questionnaire survey was developed to determine the variables associated with the attitude of dentists towards treating children. Questions in the survey focused on the dentists’ willingness to treat child patients in general, whether they have specialist in clinic and practice regular follows up of 6 months for children, the barriers they face in treating children, their educational experiences, types of treatments rendered etc., Results and Conclusion: Majority of private practitioners participated in this study treat children and have a positive attitude towards them, even though time consumption and financial constraints was a major barrier. Recommendations could be made to modify undergraduate curricula to encourage dentists to provide treatment to child patients without any reluctance. Efforts should be made to promote the general dentists' willingness to treat children by overcoming the barriers or by referring the children to paediatric dentists as and when necessary.
Extracting Keywords from Multi-party Live Chats

Live chats have become a popular form of communication, connecting people all over the globe. We believe that one of the simplest approaches for providing topic information to users joining a chat is keywords. In this paper, we present a method to automatically extract contextually relevant keywords for multi-party live chats. In our work, we identify keywords that are associated with specific dialogue acts as well as the occurrences of keywords across the entire conversation. In this way, we are able to identify distinguishing features of the chat based on structural information derived from live chats and predicted dialogue acts. In evaluation, we find that using structural information and predicted dialogue acts performs well, and that conventional methods do not work well over live chats.
LIQUID CO-PRODUCTS: A PRACTICAL OVERVIEW

With a growing world population and unprecedented competition for grains and protein sources, pork producers are looking for alternatives to traditional feed ingredients. Current liquid ingredients from the food and fuel industries already assist in reducing dependence on grain and protein crops while new liquid ingredients are constantly being evaluated. By making small changes to the way they handle, store, analyze and deliver liquid co-products, producers can take full nutritional and economic advantage of them.
Temporal turnover and the maintenance of diversity in ecological assemblages

Temporal variation in species abundances occurs in all ecological communities. Here, we explore the role that this temporal turnover plays in maintaining assemblage diversity. We investigate a three-decade time series of estuarine fishes and show that the abundances of the individual species fluctuate asynchronously around their mean levels. We then use a time-series modelling approach to examine the consequences of different patterns of turnover, by asking how the correlation between the abundance of a species in a given year and its abundance in the previous year influences the structure of the overall assemblage. Classical diversity measures that ignore species identities reveal that the observed assemblage structure will persist under all but the most extreme conditions. However, metrics that track species identities indicate a narrower set of turnover scenarios under which the predicted assemblage resembles the natural one. Our study suggests that species diversity metrics are insensitive to change and that measures that track species ranks may provide better early warning that an assemblage is being perturbed. It also highlights the need to incorporate temporal turnover in investigations of assemblage structure and function.
A QoS aware multicore hash scheduler for network applications

As the line speed of the network evolves at an unprecedented rate, a wide spectrum of network applications call for increasing processing density on network devices. The prevalence of multicore chips ameliorates the stress on processing power, but the QoS guarantee is often ignored. In addition, results of legacy QoS studies are difficult to apply to multicore web servers. Therefore, a multicore scheduler that incorporates QoS concerns is missing. As the network development moves towards cloud computing, we see an increasing importance of QoS guarantees on high performance multicore network appliances. In this paper, we propose a proportional share hash based scheduler, PS-HRW, which extends existing optimizations in multicore scheduling with QoS concerns. We address the network QoS requirement by assigning weights to each connection following the classic General Processor Sharing (GPS) theory. Based on our previous multicore scheduling studies, PS-HRW allocates computing resources based on the QoS requirement, such that the workload is balanced at the packet level, and the connection locality is maintained. To provide accurate QoS guarantee, PS-HRW allocates an integral number of cores first and then allocates the residuals using a partitioning theory. However, different from traditional simulation based approach, we target at two popular applications on modern network appliances: Deep Packet Inspection (DPI) and multimedia transcoding. In addition, we generalize the topology of different multicore architectures into a communication matrix and optimize PS-HRW to incorporate cache awareness. Essentially, PS-HRW schedules incoming traffic efficiently by balancing between connection locality, load balancing, core/cache topology and QoS guarantees.
Murujuga desert, tide, and dreaming: Understanding early rock art production and lifeways in northwest Australia

The Dampier Archipelago (Murujuga) in northwestern Australia is a rich rock art province located in an arid-maritime cultural landscape. The archipelago juts into the Indian Ocean just north of the Tropic of Capricorn. When people started inscribing this rugged granophyre landscape it was an inland range more than 100 km from the coast. Murujuga rock art is contextualized by a 47,000-year-old occupation sequence from the Pilbara, a model for stylistic change, and a predictive model that envisages how people may have adapted to this eventual seascape. Initial testing of an outer island suggests that highly mobile coastal foragers took advantage of interior ranges across the Abydos Plain as sea levels rose after the Last Glacial Maximum. This article describes for the first time evidence for Australia’s earliest domestic stone structures (dated to between 8063 and 7355 cal BP) and tests the predictive model. Rosemary Island is an inscribed landscape that reveals the emergence of an arid island and provides insights into the dynamics of mobile arid hunter-fisher-gatherers in the early Holocene. It adds to the body of Australian evidence for island abandonment with insulation, but with minimal evidence for subsequent (re)colonization.
Practical considerations for implementing an autonomous, persistent, intelligence, surveillance, and reconnaissance system

We are interested in the persistent surveillance of an area of interest comprised of heterogeneous tasks (or targets) that need to be completed (or visited) in a repeated manner subject to constraints on time between successive visits. The task is undertaken by a set of heterogeneous UAVs which autonomously execute the mission. In addition to geographically distributed tasks, the mission may also include a central node (control target), where data collected from the different targets need to be delivered. In this context, the performance of the system, in addition to the desired revisit rate of the tasks may also entail minimizing the delay in delivering the data collected from a target/task to the central node. We detail, in this paper, a completely autonomous Persistent, Intelligence, Surveillance and Reconnaissance (PISR) System, that addresses the mission requirements. In particular, we focus on practical considerations in terms of scalable optimization and heuristic methods that solve the underlying problem and also discuss the on-board implementation of the chosen optimization schema. We provide details on an in-house software framework that enables easy implementation of the optimization algorithms on commercial drones. To solve the problem, we consider three different optimization schemes based on branch and bound (tree search), MILP formulation and Dynamic Programming. We compare and contrast the three approaches with details on the respective benefits and pitfalls and also touch upon easily implementable heuristic methods motivated by the optimal solution.
Benchmarking photon-limited performance of optic flow processing algorithms

In this paper we present a simulation framework for testing and benchmarking the photon-limited performance of optic flow processing techniques. We explore the performance of “traditional” gradient-based and feature-based optic flow algorithms as well as the “biologically-inspired” elementary motion detector. We show that biologically-inspired spatial pooling techniques can successfully be implemented in the gradient-based image interpolation algorithm and the elementary motion detector to extend low-light capabilities by more than one order of magnitude. We also show that block matching algorithms can accurately compute optic flow even when a single frame may capture <;1000 photons. This framework provides a tool to further explore the mechanisms that underlie the observed low-light performance of biological vision systems and to understand the relative performance of different approaches for implementing optic flow in hardware.
Venous Thromboembolism Management throughout the COVID-19 Era: Addressing Acute and Long-Term Challenges

Background: COVID-19 increases the risk of venous thromboembolism (VTE) through a complex interplay of mechanisms collectively referred to as immunothrombosis. Limited data exist on VTE challenges in the acute setting throughout a dynamic long-term follow-up of COVID-19 patients compared to non-COVID-19 patients. The aim of the study was to investigate acute and long-term management and complications in VTE patients with and without COVID-19. Methods: A prospective, observational, single-center cohort study on VTE patients followed from the acute care stage until 24 months post-diagnosis. Results: 157 patients, 30 with COVID-19-associated VTE and 127 unrelated to COVID-19, were enrolled. The mean follow-up was 10.8 (±8.9) months. COVID-19 patients had fewer comorbidities (1.3 ± 1.29 vs. 2.26 ± 1.68, p < 0.001), a higher proportion of pulmonary embolism at baseline (96.7% vs. 76.4%, p = 0.01), and had a lower probability of remaining on anticoagulant therapy after three months (p < 0.003). The most used initial therapy was low-molecular-weight heparin in 130/157 cases, followed by long-term treatment with direct oral anticoagulants in 123/157. Two (6.7%) COVID-19 vs. three (2.4%) non-COVID-19 patients (p = 0.243) had major hemorrhagic events, all of them within the first three months. Four (3.1%) non-COVID-19 patients had VTE recurrence after six months. Three (2.4%) non-COVID-19 patients developed chronic thromboembolic pulmonary hypertension. There were no fatalities among patients with COVID-19, compared to a mortality of 12/127 (9.4%) in the non-COVID-19 subgroup (p = 0.027). Discussion: Our study offers a comprehensive overview of the evolving nature of VTE management, emphasizing the importance of personalized risk-based approaches, including a limited course of anticoagulation for most COVID-19-associated VTE cases and reduced-dose extended therapy for high-risk subsets.
Bacillus thuringiensis and Its Pesticidal Crystal Proteins

SUMMARY During the past decade the pesticidal bacterium Bacillus thuringiensis has been the subject of intensive research. These efforts have yielded considerable data about the complex relationships between the structure, mechanism of action, and genetics of the organism’s pesticidal crystal proteins, and a coherent picture of these relationships is beginning to emerge. Other studies have focused on the ecological role of the B. thuringiensis crystal proteins, their performance in agricultural and other natural settings, and the evolution of resistance mechanisms in target pests. Armed with this knowledge base and with the tools of modern biotechnology, researchers are now reporting promising results in engineering more-useful toxins and formulations, in creating transgenic plants that express pesticidal activity, and in constructing integrated management strategies to insure that these products are utilized with maximum efficiency and benefit.
Solving game with interval-valued utilities

In interactive situations, it is very difficult to obtain exact utility of decision maker because decision makers interact and may also affect one another's decision outcomes. The utilities of decision makers are represented by interval values which can expand the scope of application of the game theory. Solving the exact solution of the Nash equilibrium is very difficult, and so in this paper continuous mixed strategy space is replaced by discrete mixed strategy space in order to reduce the amount of computation. So finding the approximate solution (ε - Nash equilibrium) can be regarded as searching the optimal solution in a discrete space with genetic algorithm. Considering the characteristics of interval-valued utilities, deviation degree of interval-valued utilities is defined. Experimental studies have been performed for validation.
Single Molecule Profiling of Alternative Pre-mRNA Splicing

Alternative pre-messenger RNA splicing is an important mechanism for generating protein diversity and may explain in part how mammalian complexity arises from a surprisingly small complement of genes. Here, we describe “digital polony exon profiling,”a single molecule–based technology for studying complex alternative pre-messenger RNA splicing. This technology allows researchers to monitor the combinatorial diversity of exon inclusion in individual transcripts. A minisequencing strategy provides single nucleotide resolution, and the digital nature of the technology allows quantitation of individual splicing variants. Digital polony exon profiling can be used to investigate the physiological and pathological roles of alternately spliced messenger RNAs, as well as the mechanisms by which these messenger RNAs are produced.
Efficient Proprietary Certification Process and Secured Theft-Protected Proprietary Certificates

This paper presents a new simple scheme for theft-protected proprietary certificate problem by introducing a mobile phone as an additional requirement for the proprietor and this scheme is analyzed to be more secured than the one presented by M. Jakobsson, et al. Secondly we present the proprietary certification process using Elliptic Curve Discrete Log Problem (ECDLP) instead of Discrete Log Problem (DLP) for defining the relation R and we conclude that by introducing ECDLP the certification process is more efficient than DLP.
Random Neural Networks with Multiple Classes of Signals

By extending the pulsed recurrent random neural network (RNN) discussed in Gelenbe (1989, 1990, 1991), we propose a recurrent random neural network model in which each neuron processes several distinctly characterized streams of signals or data. The idea that neurons may be able to distinguish between the pulses they receive and use them in a distinct manner is biologically plausible. In engineering applications, the need to process different streams of information simultaneously is commonplace (e.g., in image processing, sensor fusion, or parallel processing systems). In the model we propose, each distinct stream is a class of signals in the form of spikes. Signals may arrive to a neuron from either the outside world (exogenous signals) or other neurons (endogenous signals). As a function of the signals it has received, a neuron can fire and then send signals of some class to another neuron or to the outside world. We show that the multiple signal class random model with exponential interfiring times, Poisson external signal arrivals, and Markovian signal movements between neurons has product form; this implies that the distribution of its state (i.e., the probability that each neuron of the network is excited) can be computed simply from the solution of a system of 2Cn simultaneous nonlinear equations where C is the number of signal classes and n is the number of neurons. Here we derive the stationary solution for the multiple class model and establish necessary and sufficient conditions for the existence of the stationary solution. The recurrent random neural network model with multiple classes has already been successfully applied to image texture generation (Atalay & Gelenbe, 1992), where multiple signal classes are used to model different colors in the image.