Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic load-based multi-node repositioning for mobile sensor network

In collecting data, mobile sensor networks will be highly determined by an inter-sensor connectivity. Here, the nodes of these networks will not just act to supervise some diverse regions of an interest area but, more than that, also globally overview several supervised events. An occurrence of a network separation is likely possible when connectivity is missing for the breakdown of a sensor. Some approaches have today been aimed to reposition the nodes for a connectivity reinstatement Nevertheless, the possibility for the missing coverage in certain areas unfortunately seems to be ignored in these approaches. It might be caused by their own failure or connectivity merely emphasized on the recovery. In turn, this paper is purposively to concern with the integration of connectivity and coverage. It furthermore presents a method to repositioning multi-nodes based on a novel dynamic load, at this point by involving one or multiple neighbors of the simultaneously failed node to recovering from the failure. It is initially by relocating each of neighbors to replace the failed node before returning back into its original place. Hence, the irregular connectivity and the monitoring of spots previously covered can occur. The validation of the proposed algorithm will be conducted by a simulation.
Wikipedia-based Approach for Linking Ontology Concepts to their Realisations in Text

A novel method to automatically associate ontological concepts to their realisations in texts is presented. The method has been developed in the context of the Papyrus project to annotate texts and audio transcripts with a set of relevant concepts from the Papyrus News Ontology. To avoid strong dependency on a specific ontology, the annotation process starts by performing a Wikipedia-based annotation of news items: the most relevant keywords are detected and the Wikipedia pages that best describe their actual meaning are identified. In a later step this annotation is translated into an Ontology-based one: keywords are connected to the most appropriate ontology classes on the basis of a relatedness measure that relies on Wikipedia knowledge. Wikipedia-annotation provides a domain independent abstraction layer that simplify the adaptation of the approach to other domains and ontologies. Evaluation has been performed on a set of manually annotated news, resulting in 58% F1 score for relevant Wikipedia pages and 64% for relevant ontology concepts identification.
Experiments and Modeling of Ion Exchange Resins for Nuclear Power Plants

Resins are used in nuclear power plants for water ultra-purification. Two approaches are considered in this work: column experiments and simulations in order to simulate their behaviors. A software called OPTIPUR was developed, tested and used. The approach simulates the one-dimensional reactive transport in porous medium with convective-dispersive transport between particles and diffusive transport within the boundary layer around the particles. The transfer limitation in the boundary layer is characterized by the mass transfer coefficient (MTC). The influences on MTC of two parameters were measured experimentally. The variation of the inlet concentration in the range studied does not influence the MTC; on the contrary of the superficial velocity which influences. This is consistent with results obtained using the correlation of Dwivedi & Upadhyay. With the MTC, knowing the number of exchange site and the relative affinity, OPTIPUR can simulate the column outlet concentration versus time. Then, the duration of use of resins can be predicted in conditions of a binary exchange.
Protocol Design and Implementation for Wireless Sensor Networks

Designing efficient and reliable communication protocols for wireless sensor networks in indoor monitoring applications is a challenging task, due to the uncertainty and dynamics of the environment.We consider SERAN, a two-layer semi-random protocol that specifies a routing algorithm and a MAC layer for clustered wireless sensor networks. It combines a randomized and a deterministic approach: the former provides robustness over unreliable channels, the latter reduces the packet collisions. We provide a mathematical model for the protocol that allows us to analyze its behavior and optimize performance. We define an optimization problem, considering the energy consumption as objective function and constraints in terms of error rate and end-to-end delay.A TinyOS implementation of the protocol on a WSN test bed composed by Moteiv’s Tmote Sky wireless sensors is presented. Experimental results validate the model and show excellent performance for low data rate transmissions, with low average node duty cycle, which yields a long network lifetime.
On PAR for Attack

In The Onion Router (TOR) system, anonymity is provided by router services run by TOR users who volunteer their computational resources. Scalability concerns stem from the TOR design because volunteers lack an incentive to participate. A payment scheme has been previously introduced which aims at providing economic incentives for volunteers in hopes of increasing both reliability of and participation in TOR. We show that this payment scheme breaks sender receiver anonymity through a traffic analysis intersection attack and is also vulnerable to traffic injection attacks, enabling TOR exit nodes to unnoticably cause an increase in traffic, and therefore payments, from the client. We simulate our intersection attack on the payment scheme and discuss directions for an improved design.
Depression, Anxiety, and Acculturative Stress Among Resettled Bhutanese Refugees in Australia

Despite awareness of the difficulties faced by refugees in flight, little is known about their mental health following resettlement. This article investigated rates, predictors, and moderators of anxiety, depression, and acculturative stress among members of the resettled Bhutanese refugee community in northern Queensland. A total of 148 participants (51% male), 18 to 83 years of age, participated in this cross-sectional study. A questionnaire was comprised of bilingual (English–Nepali) versions of the Depression, Anxiety, and Stress Scale (DASS-21; anxiety and depression), the Multidimensional Acculturative Stress Scale (MASS; acculturative stress), Brief-COPE (coping style), Multidimensional Scale of Perceived Social Support (MSPSS; social support), and socio-demographics. Participants reported severe levels of anxiety and moderate levels of depression, and moderate to high levels of acculturative stress. Acculturative stress was a substantive contributor to both depression and anxiety scores. Additional risk factors included the use of maladaptive/avoidant coping styles, age, and education. English language proficiency was strongly protective, as was education to Year 12 and current employment. This research is the first of its kind with this refugee group in Australia, and highlights the longevity and severity of mental health issues that affect Bhutanese refugees resettled in Australia.
Above- and below-ground net primary productivity across ten Amazonian forests on contrasting soils

The net primary productivity (NPP) of tropi- cal forests is one of the most important and least quan- tified components of the global carbon cycle. Most rel- evant studies have focused particularly on the quantifica- tion of the above-ground coarse wood productivity, and lit- tle is known about the carbon fluxes involved in other el- ements of the NPP, the partitioning of total NPP between its above- and below-ground components and the main en- vironmental drivers of these patterns. In this study we quantify the above- and below-ground NPP of ten Amazo- nian forests to address two questions: (1) How do Ama- zonian forests allocate productivity among its above- and below-ground components? (2) How do soil and leaf nu- trient status and soil texture affect the productivity of Ama- zonian forests? Using a standardized methodology to mea- sure the major elements of productivity, we show that NPP varies between 9.3±1.3 Mg C ha 1 yr 1 (mean±standard er- ror), at a white sand plot, and 17.0±1.4 Mg C ha 1 yr 1 at a very fertile Terra Preta site, with an overall average of 12.8±0.9 Mg C ha 1 yr 1 . The studied forests allocate on average 64±3% and 36±3% of the total NPP to the above- and below-ground components, respectively. The ratio of above-ground and below-ground NPP is almost invariant with total NPP. Litterfall and fine root production both in- crease with total NPP, while stem production shows no over- all trend. Total NPP tends to increase with soil phospho- rus and leaf nitrogen status. However, allocation of NPP to below-ground shows no relationship to soil fertility, but ap- pears to decrease with the increase of soil clay content.
Zimmermann : Pseudo-R 2 Measures for Some Common Limited Dependent Variable Models

A large number of different Pseudo-R measures for some common limited 2 dependent variable models are surveyed. Measures include those based solely on the maximized likelihoods with and without the restriction that slope coefficients are zero, those which require further calculations based on parameter estimates of the coefficients and variances and those that are based solely on whether the qualitative predictions of the model are correct or not. The theme of the survey is that while there is no obvious criterion for choosing which Pseudo-R to use, if the estimation is in the context of an underlying latent 2 dependent variable model, a case can be made for basing the choice on the strength of the numerical relationship to the OLS-R in the latent dependent variable. As such an OLS-R can 2 2 be known in a Monte Carlo simulation, we summarize Monte Carlo results for some important latent dependent variable models (binary probit, ordinal probit and Tobit) and find that a Pseudo-R measure due to McKelvey and Zavoina scores consistently well under our criterion. 2 We also very briefly discuss Pseudo-R measures for count data, for duration models and for 2 prediction-realization tables. Acknowledgements: We thank John DeNew for excellent research assistance. Useful comments were provided by Deb Fretz, Colin Cameron, Frank Windmeijer, the participants at seminars at McGill and McMaster University, three anonymous referees and the editor. The authors are responsible for all errors and shortcomings. The former author thanks the Alexander von Humboldt Foundation and the Social Sciences and Humanities Research Council of Canada. The second author acknowledges support by the German Science Foundation. 2
Multiple Sensors and JPDA-IMM-UKF Algorithm for Tracking Multiple Maneuvering Targets

In this paper, we consider the problem of tracking multiple maneuvering targets using switching multiple target motion models. With this paper, we aim to contribute in solving the problem of model-based body motion estimation by using data coming from visual sensors. The Interacting Multiple Model (IMM) algorithm is specially designed to track accurately targets whose state and/or measurement (assumed to be linear) models changes during motion transition. However, when these models are nonlinear, the IMM algorithm must be modified in order to guarantee an accurate track. In this paper we propose to avoid the Extended Kalman filter because of its limitations and substitute it with the Unscented Kalman filter which seems to be more efficient especially according to the simulation results obtained with the nonlinear IMM algorithm (IMMUKF). To resolve the problem of data association, the JPDA approach is combined with the IMM-UKF algorithm, the derived algorithm is noted JPDA-IMM-UKF. Keywords—Estimation, Kalman filtering, Multi-Target Tracking, Visual servoing, data association.
Grapevine: an exercise in distributed computing

Grapevine is a multicomputer system on the Xerox research internet. It provides facilities for the delivery of digital messages such as computer mail; for naming people, machines, and services; for authenticating people and machines; and for locating services on the internet. This paper has two goals: to describe the system itself and to serve as a case study of a real application of distributed computing. Part I describes the set of services provided by Grapevine and how its data and function are divided among computers on the internet. Part II presents in more detail selected aspects of Grapevine that illustrate novel facilities or implementation techniques, or that provide insight into the structure of a distributed system. Part III summarizes the current state of the system and the lesson learned from it so far.
The Effects Of Creative Thinking Activities on Learners’ Creative Thinking Skills and Academic Achievement

The goal of this study was to test for the effects of creative thinking activities and information technology assisted creative thinking activities on learners’ creative thinking skills and academic achievement in geography lesson. The students were all 11th grade students in Zühtü Özkardaşlar (Balıkesir) Anatolian High School (n=40) enrolled the academic year 2013-2014. Nonequivalent pretest posttest control grouped quasi-experimental design was executed with two samples of students: Control group and Experiment group. Data was collected by Torrance Creative Thinking Test Verbal B Form and achievement test. The results of the first tests and the final tests were compared with the help of the statistical technique of t test. The results show that; the creative thinking skills and academic achievement of the experiment group which information technology assisted creative thinking activities have been applied and the control group which creative thinking activities have been applied increased. In addition, the creative thinking skills and academic achievement of the control group increased more than the experiment group.
Input assignability of nonlinear system and its applications in robust/tracking control

It's well known that measured or estimated uncertainty information is absolutely beneficial to design robust controller. However, few researches have been conducted on that due to the difficulties of obtaining uncertainty information. Most recently, development of observation/estimation and measurement techniques (especially for nonlinear systems) make it possible to get full or partial uncertainty information. Thus, in this paper, a new concept of input assignability is introduced and used to design robust controller for nonlinear systems. The main idea of this new control scheme is firstly presented with respect to two typical nonlinear systems; subsequently, it is generalized and combined with the input-output finite gain L2 stable control to attenuate disturbances without deteriorating closed loop performance greatly; finally, experiments on a inverted pendulum testbed are carried out and the results verify feasibility and validity of the proposed scheme.
A smart agent to trade and predict foreign exchange market

Foreign Exchange market is a worldwide market to exchange currencies with 3.98 trillion US dollars daily turnover. With such a massive turnover, probability of profit is very high; however, trading in such massive market needs high knowledge, skills and full commitment in order to achieve high profit. The purpose of this work is to design a smart agent that 1) acquire Foreign Exchange market prices, 2) pre-processes it, 3) predicts future trend using Genetic Programming approach and Adaptive Neuro-fuzzy Inference System and 4) makes a buy/sell decision to maximize profitability with no human supervision.
Analysis and Detection in V-Formations with Outliers 1

1 Reception date: May 3th, 2013. Acceptance date: February 13, 2014. This article derived from Apoyo al Grupo de Sistemas Inteligentes Web-Sintelweb project. National call Apoyo para el Fortalecimiento de Grupos de Investigación o Creación Artística que Soporten Programas de Posgrado from National Colombia University, 2012, code 205010011129, developed by the research group Sistemas Inteligentes Web (Sintelweb), from National Colombia University, Medellin, Colombia. 2 Fecha de recepción: 3 de mayo de 2013. Fecha de aceptación: 13 de febrero de 2014. Este artículo se deriva del proyecto Apoyo al Grupo de Sistemas Inteligentes Web-Sintelweb, convocatoria nacional Apoyo para el Fortalecimiento de Grupos de Investigación o Creación Artística que Soporten Programas de Posgrado de la Universidad Nacional de Colombia, 2012, modalidad única, código 205010011129, desarrollado por el grupo de investigación Sistemas Inteligentes Web (Sintelweb), de la Universidad Nacional de Colombia, Medellín, Colombia. 3 Systems Engineer, Universidad de Antioquia, Medellín, Colombia. Master ́s Degree in Systems Engineering, Universidad Nacional de Colombia, Medellín, Colombia. Doctor in Systems Engineering, Universidad Nacional de Colombia. Associate Teacher at Universidad Nacional de Colombia. E-mail: fjmoreno@unal.edu. co. 4 Civil Engineer, Universidad Nacional de Colombia, Medellín, Colombia. Specialist in Educational Communication, Universidad de Pamplona, Pamplona, Colombia. Master ́s Degree in Systems Engineering, Universidad Nacional de Colombia. Doctor in Systems Enginnering, Universidad Nacional de Colombia. Associate Teacher at Universidad Nacional de Colombia, Medellín, Colombia. E-mail: jaguzman@unal.edu. co. 5 Systems and Infomation Technologies Engineer, Universidad Nacional de Colombia, Medellín, Colombia. Master ́s Degree Candidate in Systems Engineering at Universidad Nacional de Colombia. E-mail: seagomezar@unal.edu. co. doi:10.11144/JavEriana.iYU18-1.adfv
Reversible reactivity by optic nerve astrocytes

Reactive astrocytes are typically studied in models that cause irreversible mechanical damage to axons, neuronal cell bodies, and glia. Here, we evaluated the response of astrocytes in the optic nerve head to a subtle injury induced by a brief, mild elevation of the intraocular pressure. Astrocytes demonstrated reactive remodeling that peaked at three days, showing hypertrophy, process retraction, and simplification of their shape. This was not accompanied by any significant changes in the gene expression profile. At no time was there discernible damage to the optic axons, as evidenced by electron microscopy and normal anterograde and retrograde transport. Remarkably, the morphological remodeling was reversible. These findings underscore the plastic nature of reactivity. They show that reactivity can resolve fully if the insult is removed, and suggest that reactivity per se is not necessarily deleterious to axons. This reaction may represent very early events in the sequence that eventually leads to glial scarring. GLIA 2013;61:1218–1235
University ’ s repository of research publications and other research outputs Is question answering fit for the Semantic Web ?

With the recent rapid growth of the Semantic Web (SW), the processes of searching and querying content that is both massive in scale and heterogeneous have become increasingly challenging. User-friendly interfaces, which can support end users in querying and exploring this novel and diverse, structured information space, are needed to make the vision of the SW a reality. We present a survey on ontology-based Question Answering (QA), which has emerged in recent years to exploit the opportunities offered by structured semantic information on the Web. First, we provide a comprehensive perspective by analyzing the general background and history of the QA research field, from influential works from the artificial intelligence and database communities developed in the 70s and later decades, through open domain QA stimulated by the QA track in TREC since 1999, to the latest commercial semantic QA solutions, before tacking the current state of the art in open userfriendly interfaces for the SW. Second, we examine the potential of this technology to go beyond the current state of the art to support end-users in reusing and querying the SW content. We conclude our review with an outlook for this novel research area, focusing in particular on the R&D directions that need to be pursued to realize the goal of efficient and competent retrieval and integration of answers from large scale, heterogeneous, and continuously evolving semantic sources. MODUL University of Vienna, Austria.
Effects of anti-obesity drugs, phentermine and mahuang, on the behavioral patterns in Sprague-Dawley rat model

According to WHO global estimates from 2008, more than 1.4 billion adults were overweight and among them, over 200 million men and 300 million women were obese. Although the main treatment modalities for overweight and obese individuals remain dieting and physical exercise, the synthetic anti-obesity medications have been increasingly used due to their perceived convenience. Generally, anti-obesity medications are classified as appetite suppressants or fat absorption blockers. In the present study, we examined the adverse side-effects in respect of behavior changes of phentermine and Ephedra sinica (mahuang) that are anti-obesity drugs currently distributed to domestic consumers. Phentermine is mainly classified as an anorexing agent and mahuang a thermogenic agent. Because phentermine and mahuang are considered to display effectiveness through the regulation of nerve system, their potential influences of on behavioral changes were examined employing animal experiments. From the results of experiments testing locomotor activity through the use of treadmill, rota-rod, and open field system, phentermine and mahuang were commonly revealed to induce behavioral changes of rats by reducing a motor ability, an ability to cope with an external stimulus, and a sense of balance or by augmenting wariness or excitement. These adverse effects of phenternime and mahuang in behavioral changes need to be identified in humans and anti-obesity medications such as phentermine and mahuang should be prescribed for only obesity where it is anticipated that the benefits of the treatment outweigh their potential risks.
A Memory-Efficient FPGA-based Classification Engine

Packet classification is one of the most important enabling technologies for next generation network services. Even though many multi-dimensional classification algorithms have been proposed, most of them are precluded from commercial equipments due to their high memory requirements. In this paper, we present an efficient packet classification scheme, implemented in reconfigurable hardware, called Dual Stage Bloom Filter Classification Engine (2sBFCE). 2sBFC comprises of an innovative 5-field search scheme that decomposes multi-field classification rules into internal single-field rules which are combined using multi-level Bloom filters. The design of 2sBFCE is optimized for the common case based on analysis of real world classification databases. The FPGA implementation of the proposed scheme handles 4 K rules, with very small memory requirements, while supporting network streams at a rate of 2 Gbps in the worst case, and more than 6 Gbps in the average case.
Consumer personalization technologies for e-commerce on the Internet ; A taxonomy

The commercial demand for personalized information and services is increasing on the Internet. Therefore, the need for tools and methods to rationalize the information screening process arises and one solution is the use personalization methods. This paper aims to elucidate and structure the concepts, methods and technologies that are related to personalization for commercial purposes on the Internet. A taxonomy of personalization methods and technologies for electronic commerce on the Internet is suggested. The taxonomy defines three domains: Actors, Action, and Awareness. Different technological methods for personalization are described.