Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards quality and energy aware complex event processing

There is a rising interest to use sensors of various kinds for human activity recognition. Complex human activities are composed of temporally related simple activities and the concept of complex events is well suited to capture this relationship and to detect complex activities, i.e., complex events. This paper addresses the need for high accuracy of complex activity detection and low battery consumption of the sensors. To achieve this goal, this paper presents a framework to obtain the required accuracy of complex activity detection and minimize the cost of delivering samples from the sensors to the sink. We formalize the problem as an integer-programming problem and solve it by an approximation approach. The goal is to satisfy the user specified accuracy at a minimum cost. We compare the performance of our approximation approach with exact method for complex human activity determination. Evaluation results with a publicly available dataset demonstrate the potential impact of our approach.
An Assessment System for Student's Physical Expression in Nature Sound Ensemble with Narrative Pictures

In this paper, we present a nature sound ensemble system with picture episode. Especially, we focus on a supportive function for assessing student's activity through the ensemble performance using our system. In the music lesson at elementary school, it is important to develop student's abilities in collaboration and creativity in expression, however, it is deemed that many teachers feel difficulties for assessing them objectively, since the clear standards for it has not been established. In this study, we design a visualization function of the student's expression in a series of physical movements through the ensemble performance, and evaluate the feasibility of our system using prototype.
Involvement of Iron-Containing Proteins in Genome Integrity in Arabidopsis Thaliana

The Arabidopsis genome encodes numerous iron-containing proteins such as iron-sulfur (Fe-S) cluster proteins and hemoproteins. These proteins generally utilize iron as a cofactor, and they perform critical roles in photosynthesis, genome stability, electron transfer, and oxidation-reduction reactions. Plants have evolved sophisticated mechanisms to maintain iron homeostasis for the assembly of functional iron-containing proteins, thereby ensuring genome stability, cell development, and plant growth. Over the past few years, our understanding of iron-containing proteins and their functions involved in genome stability has expanded enormously. In this review, I provide the current perspectives on iron homeostasis in Arabidopsis, followed by a summary of iron-containing protein functions involved in genome stability maintenance and a discussion of their possible molecular mechanisms.
Empirical Analysis of Economic Institutions Discussion Paper Series No . 10 Aggregate Risk in Japanese Equity Markets

In the past decade Japanese households have been buffeted by some big aggregate shocks. Economic growth has slowed, unemployment risk has risen, and asset prices have fallen to levels not seen since the early 1980's. These shocks have hit both households' financial and human capital. This paper develops a framework for identifying the sources of these shocks and a way to measure how household assessments of these risks vary over time. We consider the perspective of a forward-looking risk-averse household and derive expected returns and time-varying risk premia for each risk factor. We then construct times-series of historical expected risk premia using Japanese data on industry returns. An analysis of this data provides four main findings. First, prior to 1984 expected risk premia on identified goods market shocks, monetary policy and financial market risk are all important determinants of industry level expected returns. Second, starting in 1984 households perceive that the risk from financial shocks is increasing and demand higher risk premia to hold this risk. Third, between 1987 and 1990 risk premia on monetary policy are large and positive. Monetary policy is perceived to be adding to financial risk. Fourth, in 1990 as expected risk premia on financial risk shoot up, expected risk premia on monetary policy shocks turn negative for all industry returns. As stock prices collapse between 1990 and 1995, monetary policy shocks play an important role in hedging risk emanating from the financial sector.
Network-Layer Trust in Named-Data Networking

In contrast to today's IP-based host-oriented Internet architecture, Information-Centric Networking (ICN) emphasizes content by making it directly addressable and routable. Named Data Networking (NDN) architecture is an instance of ICN that is being developed as a candidate next-generation Internet architecture. By opportunistically caching content within the network, NDN appears to be well-suited for large-scale content distribution and for meeting the needs of increasingly mobile and bandwidth-hungry applications that dominate today's Internet. One key feature of NDN is the requirement for each content object to be digitally signed by its producer. Thus, NDN should be, in principle, immune to distributing fake (aka "poisoned") content. However, in practice, this poses two challenges for detecting fake content in NDN routers: (1) overhead due to signature verification and certificate chain traversal, and (2) lack of trust context, i.e., determining which public keys are trusted to verify which content. Because of these issues, NDN does not force routers to verify content signatures, which makes the architecture susceptible to content poisoning attacks. This paper explores root causes of, and some cures for, content poisoning attacks in NDN. In the process, it becomes apparent that meaningful mitigation of content poisoning is contingent upon a network-layer trust management architecture, elements of which we construct, while carefully justifying specific design choices. This work represents the initial effort towards comprehensive trust management for NDN.
Learning, Mutation, and Long Run Equilibria in Games

An evolutionary model with a finite number of players and with stochastic mutations is analyzed. The expansion and contraction of strategies is linked to their current relative success, but mutuation, perturbing the system from its deterministic evolution, are present as well. The focus is on the long run implications of ongoing mutations, which drastically reduce the set of equilibria. For 2 by 2 symmetric games with two symmetric strict Nash equilibria the risk dominant equilibrium is selected. In particular, if both strategies have equal security levels, the Pareto dominant Nash equilibrium is selected. In particular, if both strategies have equal security levels, the Pareto dominant Nash equilibrium is selected, even though there is another strict Nash equilibrium. Copyright 1993 by The Econometric Society.
SELF-MANAGEMENT IN PRIMARY DYSMENORRHEA: TOWARD EVIDENCE-BASED EDUCATION

There is not an evidence-based education that reinforces use of scientific research in the context of self- management in primary dysmenorrhea. This study was conducted to determine the effect of evidencebased education on dysmenorrheic girl’s self-care behaviors and the severity of primary dysmenorrhea at dormitories of Ferdowsi University in Mashhad, Iran. The method of this study involves the following steps: A) Formulation of answerable questions to address self-care methods in primary dysmenorrhea. B) Systematic searching for the research evidence that could be used to answer the questions. C) Appraisal of the validity, relevance and applicability of the research evidence. D) Designing of the protocol of evidence-based education based on the best acquired evidence. E) Evaluation the effect of evidence-based education on dysmenorrheic girl’s self-care behaviors and the severity of primary dysmenorrhea.
Does Exercise in Older Adults Predict Problem Solving? The Role of Personality

Research suggests that physical fitness is positively associated with cognitive functioning in older adults, and that executive functions may be associated in particular. This study explored whether personality supplemented the relationship between physical activity and problem-solving. A computerized version of the Tower of London provided number of errors and time to completion as dependent variables using a sample of 65 community-dwelling older people. The NEO-FFI assessed the Big 5 dimensions of personality. Choice reaction time was used to control for changes in speed of processing with increased age. Age remained a significant predictor of both dependent variables, with neuroticism and agreeableness also showing predictive ability. Aerobic fitness was not associated with either outcome measure, suggesting that there might be differential effects of exercise on measures of different executive functions. Personality factors appear to have a stronger association with the cognitive function that has been reported previously.
Linear interface for graphical interface of touch-screen: a pilot study on improving accessibility of the android-based mobile devices

The article presents the idea of creating a blind-friendly Versatile Multimodal Linear Interface (VMLI) model for touchscreen-based devices as well as the results of pilot study and implementation of VMLI. VMLI enhances operation of touchscreen-based mobile devices and facilitates the use of a touchscreen by the blind. VMLI transforms a planar layout of objects into hierarchically structured linear lists that allow non-sequential access to items. List items are read by VMLI using installed text-to-speech software; users navigate through lists and select items using specific touchscreen gestures preferred by the blind. VMLI allows choosing user's preferred method of text input: using a virtual QWERTY keyboard, a virtual Braille keyboard or a physical one of a Braille notetaker. The results of preliminary research on pilot implementation of VMLI into the Android system, concerning functions like managing contacts and composing messages to selected recipients, give grounds for continuing works on VMLI.
An AGPS-based elderly tracking system

The design of an experimental AGPS-based (Assisted Global Positioning System) elderly tracking system is described. The system includes: a wearable AGPS terminal with HSPA two-way communication capability and designed for 10 days of continuous battery operation, a GPS assistance data server with reference GPS stations, location database and server, application server, and web server and client. Assistance data is retrieved by the wearable AGPS terminal using the SUPL protocol (Secured User Plane Location). This paper describes the design of each component based on key considerations such as accuracy, availability, battery life-time, and user behavior.
Two evolutionary representations for automatic parallelization

In this paper we describe use of the REVOLVER system, a test-bed for experimenting with combinations of evolutionary representations and algorithms for automatic parallelization. Results show evidence of adaptation of auto-parallelization strategy by the evolutionary algorithms (EAs) tested, thereby suggesting that EAs are more capable of finding enabling transformations than current parallelizing compilers.
THE IMPACT OF THERAPEUTIC RECREATIONAL EXERCISES ON DEVELOPMENT IN BASIC SKILLS OF MALE AND FEMALE STUDENTS WITH DOWN SYNDROME

The aim of this study is to examine developmental gender differences of the special movement training programme applied to male and female students with Down syndrome. 12 male and 10 female students with Down syndrome were chosen for the study. The students were chosen from 6-9 age groups. Permission was granted for the study by the families of the children, and the movement training programme was applied. The movement training programme for the study was designed by the academics at the Department of Special Education and Department of Physical Education and Sports. The special movement training programme consist of basic motor skills (walking, running, jumping, hopping, standing long jump, juggling the soccer ball, throwing the ball, catching the thrown ball, hitting the thrown ball with a racket and kicking the ball). The trainings were performed for 40-50 minutes four times a week for 4 months and 8 weeks. Before starting the training, pre-test was applied to the children. At the end of the research period, post-test was applied and then both tests were compared. Furthermore, an observation form was prepared. It consisted of 8 questions. The first data related to the observation form were collected at the beginning of the study. The observation data were recollected at the end of the study. These two observation results were interpreted, analysed and reported. The obtained data were analysed using SSPS.16 programme. The male and female students were compared and interpreted according to Mann-Whitney U, Wilcoxon W and Z values. As a result of the present study, while a development at the level of p<0,001 was observed in the basic skills of the male students, there was a development at the level of p<0,05 in the basic skills of the female students. Basing on this data, it was concluded that the development of the male students was more than of the female students in the special movement training programme. Article visualizations:
A system for reliable text recognition in an industrial environment

In this paper, a vision system is proposed for high-reliability text label identification on industrial equipment, where complex background, changing conditions and illumination effects pose significant challenges. The system handles images with a low resolution that are taken from a wide fieldof-view camera. Due to these challenges, the task of detecting text is divided in two parts. The first part consists of detecting text candidate regions in wide-area images using an edge-based approach. The second part examines these candidate regions in more detail using connected component analysis to identify those containing text. After selecting regions deemed to be highly likely of containing text, the individual characters are recognised using an open source OCR engine. The reliability of the system is improved by adding error correcting codes and by extracting the confidence of recognition of the different characters. Experiments using a code on a curved payload demonstrate the feasibility of using the system for highreliability label identification.
Adaptive Windowing for ICI Mitigation in Doubly Selective Channels with Unknown Statistics

In doubly selective channels, receiver windowing constitutes an effective technique for enhancing the banded structure of the frequency-domain channel matrix, and thus improving the effectiveness of a banded equalizer for intercarrier interference (ICI) mitigation. A common window design technique, which performs close to optimal, is based on the criterion of maximum average signal-to-interference-plus-noise ratio (SINR). The optimality of this technique has been verified for stationary channels with perfectly known statistics. However, in cases where this assumption does not hold, a near optimal performance can be achieved at the expense of high complexity cost. To overcome these limitations, an adaptive windowing technique is proposed that is able to track the optimal receiver window offering low-complexity requirements. Through simulation experiments it has been verified that the proposed technique is able to adapt to the varying channel statistics with increased robustness to channel modeling errors.
Reimagining Science and the Ivory Tower

Kennan Kellaris Salinero is the Executive Director of ReImagine Science, a nonprofit based out of Washington, DC. She has held positions in numerous institutions within the basic sciences, including as a faculty member in Georgetown University’s Department of Chemistry, at Celera Genomics, University of California, Berkeley, and several national laboratories. Her most recent research position, at Åbo Akademi, Turku, Finland, was studying microbial genomics and inheritance patterns. Ihad my big aha moment about the future of science and the supposed influence of “market forces” during a conversation with a first-year graduate student in molecular and biochemical nutrition at Berkeley. A brighter future for science will not be shaped by market forces or academia, at least not as they are currently organized. Rather, it will be shaped by the human desire for contribution. Alexandra was disillusioned. She had left a biotech company in Boston where she had been doing research that purportedly furthered modern medicine’s contribution to improve the human condition. However, without a PhD she would not be making decisions or driving the direction of research, so she had left her position in Boston to pursue the basic research path that a PhD at Berkeley could provide. She had come to Berkeley to make a difference for humanity. She had presumed that Berkeley, one of the world’s top research institutions, would be the ideal place to study the role of nutrition at the molecular level, within the cellular structures of the human body. What she found instead was a role in looking for drug candidates to chemically and the Ivory Tower
A distributed and conflict-aware measurement method based on local information exchange in overlay networks

Network resource information, including available bandwidth, propagation delay and packet loss ratio, should be obtained by measurements for maintaining the effectiveness of overlay network services. However, measurements consume bandwidth that should be used for transferring data. Furthermore, although measurement accuracy can be enhanced by frequent measurements, measuring with high frequency can cause a measurement conflict problem that increases the network load and degrades the measurement accuracy. In this paper, we propose a distributed, conflict-aware measurement method that reduces the measurement conflicts while maintaining high measurement accuracy. The main idea is that overlay nodes exchange the route information and the measurement results with a small number of other overlay nodes while decreasing the measurement frequency. Simulation results show that the relative error in the measurement results can be halved with proposed method, while keeping the total measurement overhead unchanged, compared with the existing method. We also confirm that exchanging measurement results contributes more to the enhancement of measurement accuracy than performing measurements.
A Survey on Node Placement for Wireless Sensor Network Using Pso Algorithm

A wireless sensor network is a group of low cost, low power, multifunctional and small size distributed networked sensors. These sensors work together to sense the environment with a little or no human intervention. Developers of WSNs face challenges that arise from communication link failures, memory and computational constraints, and limited energy. Particle Swarm Optimization (PSO) is a simple, effective and computationally efficient optimization algorithm. It has been applied to address WSN issues such as optimal deployment, node localization, clustering and data- aggregation. Node placement is an important task in wireless sensor network Particle swarm optimization is one of the latest population based evolutionary optimization techniques which is based on the behaviours of bird flocking and fish schooling. PSO algorithm based framework has been proposed in this paper.
Practical Gammatone-Like Filters for Auditory Processing

This paper deals with continuous-time filter transfer functions that resemble tuning curves at particular set of places on the basilar membrane of the biological cochlea and that are suitable for practical VLSI implementations. The resulting filters can be used in a filterbank architecture to realize cochlea implants or auditory processors of increased biorealism. To put the reader into context, the paper starts with a short review on the gammatone filter and then exposes two of its variants, namely, the differentiated all-pole gammatone filter (DAPGF) and one-zero gammatone filter (OZGF), filter responses that provide a robust foundation for modeling cochlea transfer functions. The DAPGF and OZGF responses are attractive because they exhibit certain characteristics suitable for modeling a variety of auditory data: level-dependent gain, linear tail for frequencies well below the center frequency, asymmetry, and so forth. In addition, their form suggests their implementation by means of cascades of N identical two-pole systems which render them as excellent candidates for efficient analog or digital VLSI realizations. We provide results that shed light on their characteristics and attributes and which can also serve as "design curves" for fitting these responses to frequency-domain physiological data. The DAPGF and OZGF responses are essentially a "missing link" between physiological, electrical, and mechanical models for auditory filtering.
Can wisdom and psychosocial growth be learned in university courses?

ABSTRACT This study explored whether three-dimensional wisdom and psychosocial growth, defined as increases in psychological well-being (PWB), spirituality, and death acceptance, can be learned in university courses. Specifically, the study examined whether courses that tried to engage the whole person rather than only the intellect and/or courses that included a service learning component (growth classes) fostered greater wisdom and psychosocial growth than regular sociology or religion courses (control classes). Results of repeated measure MANOVAs showed that, on average, the 165 students who were enrolled in 12 growth classes significantly increased in wisdom, PWB, spirituality, and death acceptance between the beginning and the end of the semester, whereas the 153 students who attended eight control classes significantly decreased in wisdom and did not change significantly in PWB, spirituality, and death acceptance. It appears that it is indeed possible to learn wisdom and psychosocial growth in university courses.
UWNLP at the NTCIR-12 Short Text Conversation Task

In this paper, we describe our submission to the NTCIR-12 Short Text Conversation task. We consider short text conversation as a community Question-Answering problem, hence we solve this task in three steps: First, we retrieve a set of candidate posts from a pre-built indexing service. Second, these candidate posts are ranked according to their similarity with the original input post. Finally, we rank the comments to the top-ranked posts and output these comments as answers. Two ranking models and three comment selection strategies have been introduced to generate ﬁve runs. Among them, our best approach receives performances of mean nDCG@1 0.2767, mean P+ 0.4284 and mean nERR@10 0.4095.
Cognitive Principles of Graphic Displays

Graphic displays, such as maps, that portray visible things are ancient whereas graphic displays, such as graphs and diagrams, that portray things that are inherently not visible, are relatively modern inventions. They serve a variety of functions, such as providing models, attracting attention, supporting memory, facilitating inference and discovery. Graphic displays use space to convey meaning in ways that are cognitively natural, as suggested by historical and developmental examples. Typically, icons are used to convey elements, based on likenesses and "figures of depiction" and spatial relations are used to convey other relations, based on proximity.