Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous Measurement of Tilt Angle and Temperature With Pendulum-Based Fiber Bragg Grating Sensor

A fiber optic tilt senor for simultaneous measurement of 2-D tilt angle and temperature is proposed and demonstrated experimentally. The sensing head consists of two fiber Bragg gratings (FBGs) attached on a specially designed columnar pendulum. Reflection peaks of the FBGs split and resonant wavelengths shift with tilt and temperature variations. A maximum tilt angle sensitivity of 0.074 nm/°, accuracy of 0.18°, and temperature sensitivity of 0.021 nm/°C have been achieved within the tilt angle range of 0°-40°.
Efficient integration of translation and speech models in dictation based machine aided human translation

This paper is concerned with combining models for decoding an optimum translation for a dictation based machine aided human translation (MAHT) task. Statistical language model (SLM) probabilities in automatic speech recognition (ASR) are updated using statistical machine translation (SMT) model probabilities. The effect of this procedure is evaluated for utterances from human translators dictating translations of source language documents. It is shown that computational complexity is significantly reduced while at the same time word error rate is reduced by 30%.
The SENSEVAL-2 Panel on Domains, Topics and Senses

An important aspect of sense disambiguation is the wider semantic space (domain, topic) in which the ambiguous word occurs. This may be most clearly illustrated by some cross-lingual examples, as they would appear in (machine) translation. Consider for instance the English word housing. In a more general "sense", this translates in German into Wohnung. In an engineering setting however it translates into Gehause. Also verbs may be translated differently (i.e. have a different sense) according to the semantic space in which they occur. For instance, English warming up translates into erhitzen in a more general sense, but into aufwarmen in the sports domain.
StreamHub: a massively parallel architecture for high-performance content-based publish/subscribe

By routing messages based on their content, publish/subscribe (pub/sub) systems remove the need to establish and maintain fixed communication channels. Pub/sub is a natural candidate for designing large-scale systems, composed of applications running in different domains and communicating via middleware solutions deployed on a public cloud. Such pub/sub systems must provide high throughput, filtering thousands of publications per second matched against hundreds of thousands of registered subscriptions with low and predictable delays, and must scale horizontally and vertically. As large-scale application composition may require complex publications and subscriptions representations, pub/sub system designs should not rely on the specific characteristics of a particular filtering scheme for implementing scalability. In this paper, we depart from the use of broker overlays, where each server must support the whole range of operations of a pub/sub service, as well as overlay management and routing functionality. We propose instead a novel and pragmatic tiered approach to obtain high-throughput and scalable pub/sub for clusters and cloud deployments. We separate the three operations involved in pub/sub and leverage their natural potential for parallelization. Our design, named StreamHub, is oblivious to the semantics of subscriptions and publications. It can support any type and number of filtering operations implemented by independent libraries. Experiments on a cluster with up to 384 cores indicate that StreamHub is able to register 150 K subscriptions per second and filter next to 2 K publications against 100 K stored subscriptions, resulting in nearly 400 K notifications sent per second. Comparisons against a broker overlay solution shows an improvement of two orders of magnitude in throughput when using the same number of cores.
The Broken Dream of Pervasive Sentient Ambient Calm Invisible Ubiquitous Computing

We dreamt of technology becoming invisible, for our wants and needs to be primary and the tools we use for making them a reality to become like a genie, a snap of the fingers and ta daa, everything is realised. What went wrong? Was this always an impossible dream? How did we end up with this fetishised obsession with mobile phones? How did we end up with technology tearing apart our sense of experience and replacing it with 'Likes'. No one meant this to happen, not even US Corporates, they just wanted to own us, not diminish our sense of existing and interacting within the real world. In this paper we consider how tools took over, and how the dream of ubiquitous (or whatever its called) computing was destroyed. We rally rebellious forces and consider how we might fight back, and whether we should even bother trying.
Automatic Application Partitioning : The J-Orchestra approach ( position paper )

Application partitioning is the task of breaking up the functionality of an application into distinct entities that can operate independently, usually in a distributed setting. Many distributed applications are created by partitioning their centralized versions. Traditional application partitioning entails re-coding the application func-tionality to use a middleware mechanism for communication between the different entities. This process is tedious and error-prone. Automating the partitioning process while preserving correctness and ensuring good performance of partitioned applications can greatly facilitate development of a large class of distributed applications. We review the main advantages and challenges of automatic application partitioning and present the J-Orchestra system. J-Orchestra is an automatic partitioning system for Java programs. J-Orchestra takes as input Java applications in bytecode format and transforms them into distributed applications, running on distinct Java Virtual Machines. The present paper is a high-level supplement of our paper in the ECOOP 2002 technical program [12]. Here, we do not describe specific technical contributions, but instead we concentrate on the high level design decisions for an automatic partitioning system and argue that the J-Orchestra decisions make sense.
Selenium Compounds, Apoptosis and Other Types of Cell Death: An Overview for Cancer Therapy

Selenium (Se) is an essential trace element involved in different physiological functions of the human body and plays a role in cancer prevention and treatment. Induction of apoptosis is considered an important cellular event that can account for the cancer preventive effects of Se. The mechanisms of Se-induced apoptosis are associated with the chemical forms of Se and their metabolism as well as the type of cancer studied. So, some selenocompounds, such as SeO2 involve the activation of caspase-3 while sodium selenite induces apoptosis in the absence of the activation of caspases. Modulation of mitochondrial functions has been reported to play a key role in the regulation of apoptosis and also to be one of the targets of Se compounds. Other mechanisms for apoptosis induction are the modulation of glutathione and reactive oxygen species levels, which may function as intracellular messengers to regulate signaling pathways, or the regulation of kinase, among others. Emerging evidence indicates the overlaps between the apoptosis and other types of cell death such as autophagy. In this review we report different processes of cell death induced by Se compounds in cancer treatment and prevention.
Puerto Montt: el paso de ciudad menor a centro de desarrollo interregional en una ciudad del sur de Chile

La ciudad de Puerto Montt se encuentra en un proceso de rapido crecimiento demografico, asociado a un desarrollo de sus actividades economicas, especialmente las relativas a servicios y a industrias elaboradoras de recursos naturales regionales. Esto ha derivado en una explosiva expansion de la superficie urbana, superando las dificultades que le ofrece el sitio en que se encuentra emplazada. El proceso de crecimiento de Puerto Montt la ha llevado desde una situacion de ciudad secundaria en la trama urbana regional, a una posicion de lugar central para una amplia region. Por ello se encuentra sometida a procesos propios de las ciudades de mayor tamano en Chile, sin haber logrado una maduracion como ciudad intermedia, lo cual introduce una serie de alteraciones en los postulados generales del proyecto GEORED II, las cuales deberan ser analizadas en forma mas precisa. Con todo se advierten algunas caracteristicas que permiten afirmar que la ciudad efectivamente refleja los problemas de su region, se encuentra en condiciones de emprender planes de ordenamiento siguiendo los principios del desarrollo sustentable y presenta una cierta tendencia a la valorizacion de sus tradiciones culturales, asi como del patrimonio urbano. Sin embargo se la puede asociar. The city of Puerto Montt is in a process of fast demographic growth, associated to a development of its economic activities, specially the relative ones to services and industries of regional natural resources. This has derived in an explosive expansion of the urban surface, surpassing the difficulties that offer the site in which it is located. The growth process of Puerto Montt has taken it from a situation of secondary city in the regional urban system, to a position of central place for an ample region. For that reason it is put under own processes of the cities of greater size in Chile, without to have obtained a maturation like intermediate city. That introduces a series of alterations in the general postulates of project GEORED II, which they will have to be analyzed in more precise form. Yet, some characteristics are noticed that allow to affirm that the city indeed reflects the problems of its region, are in conditions for undertaking ordering plans following the principles of the sustainable development and present certain tendency to the valuation of their cultural traditions, as well as of the urban patrimony. Nevertheless it has problems of over urbanization and bad relationships with his natural environment
Accuracy of 3-Dimensional Reconstruction Algorithms for the High-Resolution Research Tomograph

The high-resolution research tomograph (HRRT) is a dedicated human brain PET scanner. At present, iterative reconstruction methods are preferred for reconstructing HRRT studies. However, these iterative reconstruction algorithms show bias in short-duration frames. New algorithms such as the shifted Poisson ordered-subsets expectation maximization (SP-OSEM) and ordered-subsets weighted least squares (OSWLS) showed promising results in bias reduction, compared with the recommended ordinary Poisson OSEM (OP-OSEM). The goal of this study was to evaluate quantitative accuracy of these iterative reconstruction algorithms, compared with 3-dimensional filtered backprojection (3D-FBP). Methods: The 3 above-mentioned 3D iterative reconstruction methods were implemented for the HRRT. To evaluate the various 3D iterative reconstruction techniques quantitatively, several phantom studies and a human brain study (n = 5) were performed. Results: OSWLS showed a low and almost linearly increasing coefficient of variation (SD over average activity concentration), with decreasing noise-equivalent count rates. In decay studies, OSWLS showed good agreement with the 3D-FBP gray matter (GM)–to–white matter (WM) contrast ratio (<4%), and OP-OSEM and SP-OSEM showed agreement within 6% and 7%, respectively. For various frame durations, both SP-OSEM and OP-OSEM showed the fewest errors in GM-to-WM contrast ratios, varying 75% between different noise-equivalent count rates; this variability was much higher for other iterative methods (>92%). 3D-FBP showed the least variability (34%). Visually, OSWLS hardly showed any artifacts in parametric images and showed good agreement with 3D-FBP data for parametric images, especially in the case of reference-tissue kinetic methods (slope, 1.02; Pearson correlation coefficient, 0.99). Conclusion: OP-OSEM, SP-OSEM, and OSWLS showed good performance for phantom studies. In addition, OSWLS showed better results for parametric analysis of clinical studies and is therefore recommended for quantitative HRRT brain PET studies.
Using occupancy‐based surveys and multi‐model inference to estimate abundance and distribution of crested gibbons (Nomascus spp.) in central Laos

Reliable assessments of species’ status are prerequisites for monitoring the success of conservation programmes. However, survey conditions such as terrain and inaccessibility, compounded by the low densities of many species across Southeast Asia and other parts of the world are considerable barriers to obtaining robust populations estimates. We used an occupancy‐based approach and multi‐model inference to generate occupancy and abundance estimates for northern white‐cheeked crested gibbons Nomascus leucogenys and southern white‐cheeked crested gibbons N. siki in the Nam Kading National Protected Area (NKNPA) in central Lao Peoples’ Democratic Republic (hereafter Laos). We present these estimates for gibbons within the context of a strategy designed to monitor multiple species and discuss the practical challenges to obtaining sufficient data for robust population estimates to detect change in gibbon status over time. We surveyed approximately 210 km2 of habitat and estimate an abundance of 45 (SE = 17, CV = 37%) groups, giving an average site abundance of 0.21 (SE = 0.08, CV = 37%) groups per km2. We make recommendations for ongoing gibbon monitoring and discuss the wider implications for cost effective wildlife monitoring in Laos. Am. J. Primatol. 78:462–472, 2016. © 2015 Wiley Periodicals, Inc.
Discrete-time stabilization of integrators in cascade: Real-time stabilization of a mini-rotorcraft

This paper deals with the problem of stabilizing n integrators in cascade with bounded input using a discrete-time controller. We propose here a control algorithm using saturation functions for the case of 3 integrators and then we extend the development to the case of n integrators. The control methodology developed is simple and is explicitly given. We present a real-time application of the proposed control algorithm for the stabilization of the orientation of a mini-rotorcraft
The starburst-GRB connection

As starburst galaxies show a star formation rate up to several hundred times larger than the one in a typical galaxy, the expected supernova rate is higher than average. This in turn implies a high rate of long gamma ray bursts (GRBs), which are extreme supernova events. We present a catalog of 127 local starburst galaxies with redshifts of z<0.03. Using this catalog we investigate the possibility of detecting neutrinos from Gamma Ray Bursts from nearby starburst galaxies. We show that the rate of long GRBs is correlated to the supernova rate which in turn is correlated to the far infrared output. For the entire catalog, 0.03 GRB per year are expected to occur. The true number can even be higher since only the brightest sources were included in the catalog.
Examining the Effect of Learning Styles on Mobile Learning Adoption

Mobile learning (ML) has been growing recently. The successful adoption of this technology to enhance learning environments could represent a major contribution for education. The purpose of this research will be to investigate the effect of learning styles on ML adoption. This research will consider four stages: conduct an exploratory study, develop a systematic literature review, develop the model and test the model. The results could be a guideline to encourage ML and to help mobile device manufacturers and developers to generate new mobile applications for education.
REACT: Context-Sensitive Recommendations for Data Analysis

Data analysis may be a difficult task, especially for non-expert users, as it requires deep understanding of the investigated domain and the particular context. In this demo we present REACT, a system that hooks to the analysis UI and provides the users with personalized recommendations of analysis actions. By matching the current user session to previous sessions of analysts working with the same or other data sets, REACT is able to identify the potentially best next analysis actions in the given user context. Unlike previous work that mainly focused on individual components of the analysis work, REACT provides a holistic approach that captures a wider range of analysis action types by utilizing novel notions of similarity in terms of the individual actions, the analyzed data and the entire analysis workflow. We demonstrate the functionality of REACT, as well as its effectiveness through a digital forensics scenario where users are challenged to detect cyber attacks in real life data achieved from honeypot servers.
Explorative Spatial Analysis of Neandertal Sites using Terrain Analysis and Stochastic Environmental Modelling

In this paper we present a unique spatial dataset of Neandertal sites in Europe. Information on topographic locations with human fossils was collected in the course of our own work and from a comprehensive literature review. The fossils are classified into Pre-Neandertals, Early Neandertals and Classic Neandertals. Based on this dataset, we explored the environmentally constrained site-selection criteria of Neandertals. The site locations are described by topographic indices giving information on climatic, strategic and water-related criteria on which Neandertals may have based their site selection. We applied two different explorative statistical approaches for the three Neandertal fossil classes, deriving robust and consistent results for Early and Classic Neandertals. However, because of the nature and size of the response variables showing a certain heterogeneity and due to landscape dynamics, which might have occurred in the observed periods, we focus on the overall trends that the data show. The study reveals that Early and Classic Neandertals not only show specific spatial distributions but are also characterized by different environmental preferences. Both models reproduce the particular site preferences for Early and Classic Neandertals, which demonstrate a higher relevance of climatic issues for the Early Neandertals and a pronounced strategic component for the Classic Neandertals. Additionally, the methodology allows for a spatial prognosis of occurrence probabilities for Neandertal sites. External validation using a spatial artefact dataset for the German Middle Paleolithic shows generally good agreement.
Estudios limnologicos de cuatro ecosistemas neotropicales diferentes con especial referencia a su fauna de efemeropteros

Entre 1973 y 1976 fueron estudiados limnologicamente los rios Anori, Medellin, Rionegro y la Quebrada La Agudelo, localizados en el departamento de Antioquia, Colombia. En cada uno de estos ecosistemas se analizo la fauna de efemeropteros y se determino la estructura de la comunidad. Las variaciones en oxigeno debido a la contaminacion organica y los cambios en turbidez motivados por las epocas de lluvia, parecen ser los factores que mas afectan adversamente las comunidades benticas. Se encontro que el genero Lachlania parece preferir aguas frias y no contaminadas, en cambio Euthyplocia hecuba y Campylocia , son mas frecuentes en aguas calidas y limpias. Los generos Tricorythodes y Dactylobaetis se encontraron predominantemente en aguas con barro y arena. Por su parte Leptohyphes, Baetis y Baetodes mostraron un amplio rango de adaptacion a diferentes tipos de ecosistemas y de contaminacion. Thraulodes mostro una amplia distribucion en altura, pero es muy sensible a la contaminacion. Hermanellopsis, es un genero aun poco conocido en el tropico. Se reporto igualmente un "leptoflehido" que parece pertenecer al genero Terpides, pero no pudo ser confirmada su clasificacion.
Simulation of land use change impacts on hydrological processes in a tropical catchment

(1) Water Engineering and Management Group, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands, (2) Faculty of Forestry, Universitas Gadjah Mada, Yogyakarta, Indonesia, (3) Department of Water Resources, Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, the Netherlands, (4) Institute of Water Policy, Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore
Influence of child abuse on adult depression: moderation by the corticotropin-releasing hormone receptor gene.

CONTEXT Genetic inheritance and developmental life stress both contribute to major depressive disorder in adults. Child abuse and trauma alter the endogenous stress response, principally corticotropin-releasing hormone and its downstream effectors, suggesting that a gene x environment interaction at this locus may be important in depression. OBJECTIVE To examine whether the effects of child abuse on adult depressive symptoms are moderated by genetic polymorphisms within the corticotropin-releasing hormone type 1 receptor (CRHR1) gene. DESIGN Association study examining gene x environment interactions between genetic polymorphisms at the CRHR1 locus and measures of child abuse on adult depressive symptoms. SETTING General medical clinics of a large, public, urban hospital and Emory University, Atlanta, Georgia. PARTICIPANTS The primary participant population was 97.4% African American, of low socioeconomic status, and with high rates of lifetime trauma (n = 422). A supportive independent sample (n = 199) was distinct both ethnically (87.7% Caucasian) and socioeconomically (less impoverished). MAIN OUTCOME MEASURES Beck Depression Inventory scores and history of major depressive disorder by the Structured Clinical Interview for DSM-IV Axis I Disorders. RESULTS Fifteen single-nucleotide polymorphisms spanning 57 kilobases of the CRHR1 gene were examined. We found significant gene x environment interactions with multiple individual single-nucleotide polymorphisms (eg, rs110402, P = .008) as well as with a common haplotype spanning intron 1 (P < .001). Specific CRHR1 polymorphisms appeared to moderate the effect of child abuse on the risk for adult depressive symptoms. These protective effects were supported with similar findings in a second independent sample (n = 199). CONCLUSIONS These data support the corticotropin-releasing hormone hypothesis of depression and suggest that a gene x environment interaction is important for the expression of depressive symptoms in adults with CRHR1 risk or protective alleles who have a history of child abuse.