Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluación de la vulnerabilidad hidrogeológica del acuífero Guadalupe en Tenjo Cundinamarca, con la implementación del modelo Drastic

Las aguas subterraneas son importantes reservas naturales de agua, que sirven como fuente de abastecimiento en diversas actividades antropogenicas que pueden llegar a impactar directamente la cantidad y calidad del agua sino se realiza una gestion integral del recurso. Este es el caso de Tenjo, Cundinamarca, donde se desarrollan actividades de extraccion de aguas subterraneas para abastecer a la comunidad y realizar actividades economicas que a traves de los anos ha generado una sobreexplotacion desconocida a la ausencia de estudios que representen la dinamica del acuifero y el deterioro prolongado producto de las actividades que impactan directamente las reservas y las caracteristicas intrinsecas de la region. El presente proyecto implemento el modelo internacional DRASTIC con el fin de definir las zonas de vulnerabilidad del acuifero Guadalupe particularmente a la contaminacion, desarrollandose una herramienta util y confiable para una gestion integral del recurso que puede ser base en futuros planes de ordenamiento territorial. Con ello, se desarrollaron mapas representativos de las siete variables con la ponderacion determinados por el modelo DRASTIC a traves de sistemas de informacion geografica SIG (ArcGIS 10.1®), con los cuales se materializo un mapa tematico final referente al grado de vulnerabilidad intrinseca frente a la contaminacion para el sistema acuifero del municipio de Tenjo, donde se encontro zonas de vulnerabilidad muy baja en el piedemonte de los cerros de Cota, localizado al este del municipio; vulnerabilidad baja en la zona valle correspondiente a la mayor area, vulnerabilidad moderada en las zonas montanosas correspondientes a la localizacion oriental y occidental del municipio y vulnerabilidad alta en la zona suroriental y noroccidental donde se localizan los pozos de extraccion mas superficiales. Este comportamiento se debe a sus caracteristicas litologicas donde predominan el lutito masivas, variaciones en los niveles freaticos a lo largo del municipio, valores bajos de conductividad, entre otros
Prevalence of Sleep Disordered Breathing and Sleep Apnea in 50- to 70-Year-Old Individuals

Purpose: To determine the prevalence of sleep disordered breathing (SDB) and sleep apnea syndrome (SAS) in a general population aged from 50 to 70 years. Subjects and Methods: We recruited 76 individuals aged between 50 and 70 years, chosen at random from the electoral census. They were invited to the clinic where a detailed medical history was taken and physical examination, ENT examination, pulmonary function tests and night time recording of respiratory variables performed. Results: The prevalence of SDB (apnea-hypopnea index ≥ 5) was 28.9%, and there were no differences between men (28%) and women (30%). However, the prevalence of SAS was 6.8%, and there were differences between men (5 cases) and women (0 cases) (p = 0.0521). Subjects in the SDB group had higher systolic blood pressure than in the non-SDB group (p < 0.05). Conclusions: SDB and SAS are common among 50- to 70-year olds. The prevalence of SDB was 28.9% and the prevalence of SAS was 6.8%.
Centrality metrics and line-graph to measure the importance of links in online social networks

Importance of nodes and tie strength are necessary elements to characterize and analyze networks, as well as to study the processes that occur in their interior. We believe that it is also necessary to know the importance of links to have a better characterization of the networks in the study of those processes. In response to this situation, we propose a method to measure the importance of the links.The method is based on applying the line-graph mathematical concept to the graph representing the network, thus we create a new graph in which we apply centrality metrics to find the importance of network links.
Announcing the Electromagnetic Articulography (Day 1) Subset of the mngu0 Articulatory Corpus

This paper serves as an initial announcement of the availability of a corpus of articulatory data called mngu0. This corpus will ultimately consist of a collection of multiple sources of articulatory data acquired from a single speaker: electromagnetic articulography (EMA), audio, video, volumetric MRI scans, and 3D scans of dental impressions. This data will be provided free for research use. In this first stage of the release, we are making available one subset of EMA data, consisting of more than 1,300 phonetically diverse utterances recorded with a Carstens AG500 electromagnetic articulograph. Distribution of mngu0 will be managed by a dedicated “forum-style” web site. This paper both outlines the general goals motivating the distribution of the data and the creation of the mngu0 web forum, and also provides a description of the EMA data contained in this initial release. Index Terms: articulography, corpus, EMA
Time series input selection using multiple kernel learning

In this paper we study the relevance of multiple kernel learn- ing (MKL) for the automatic selection of time series inputs. Recently, MKL has gained great attention in the machine learning community due to its flexibility in modelling complex patterns and performing feature selection. In general, MKL constructs the kernel as a weighted linear com- bination of basis kernels, exploiting different sources of information. An efficient algorithm wrapping a Support Vector Regression model for opti- mizing the MKL weights, named SimpleMKL, is used for the analysis. In this sense, MKL performs feature selection by discarding inputs/kernels with low or null weights. The approach proposed is tested with simu- lated linear and nonlinear time series (AutoRegressive, Henon and Lorenz series).
A tri-axial force sensor based on light intensity modulation for detecting ground reaction force

In this paper, we proposed a compact and light tri-axial force sensor with four miniaturized photo-interrupters and an elastic component. Compared to previous F/T sensors, the proposed sensor provides a compact size of multi-axial sensing system taking the advantages of optic-based sensor (i.e., low noise of output signal, high cost-performance). Since we determined the design variables with consideration of ground reaction force (GRF) sensing application, the proposed sensor meets our performance requirements, having three-axial forces capability with 600N for z-axis, ±250N for x- and y-axis, respectively, a light mass of 11g, and a thin size of 7mm thickness. The RMS errors are 4.3±0.25% and 4.4±1.5% of the maximum horizontal force in x- and y-axis, respectably, and 2.8±0.8% of the maximum vertical force in z-axis. The sensor operates without the use of an external amplifier, which can be advantageous in applications where space is limited, as with the case in the GRF application.
Infragravity Wave Radiation Across the Shelf Break

Observations collected as part of the Cascadia Amphibious Array (Oregon-Washington coast) show that ocean surface infragravity (IG) waves (periods from 30 to 250 s) in the Pacific Ocean originate from the coastal zone. With the deepest observations at 1909 m, we identify tidal modulation and a dramatic reduction in energy as IG waves cross the shelf break. Observations are consistent with radiation from an isotropic, nearshore source, and provide quantitative verification linking oceanic IG fluctuations with nearshore motions. Our analysis demonstrates that trapping of IG waves on the shelf break strongly reduces energy radiation into ocean basins. Further, for narrow continental shelves (U.S. West Coast), energy levels past the shelf break depend only weakly on shelf geometry. Consequently, oceanic energy levels can be related to coastal sources by scaling relations predicted by geometric optics, simplifying the effort to estimate the impact of radiated IG-waves on remote sites (e.g., to estimate seismic noise levels or impact on ice shelves).
Role of CD44 in the Differentiation of Th1 and Th2 Cells: CD44-Deficiency Enhances the Development of Th2 Effectors in Response to Sheep RBC and Chicken Ovalbumin1

CD4 T cells can be primarily polarized to differentiate into Th1 or Th2 cells. CD44 is a marker of T cell activation and a property of long-lived memory cells and implicated in cell migration, activation, and differentiation. To date, whether CD44 has a role in regulating Th1-Th2 differentiation has not been determined. In this study, we compared Th1 and Th2 responses in wild-type and CD44-deficient mice in response to sheep RBC and chicken OVA, as well as examined Th1-Th2 differentiation in vivo and in vitro from CD44-sufficient and CD44-deficient naive CD4 T cells. We observed that deficiency of CD44 tended to inhibit Th1 while promoting Th2 differentiation. Furthermore, chimeric studies suggested that CD44 expression by CD4 T cells was essential for such Th2 bias. The regulation by CD44 occurred at the transcription level leading to up-regulated GATA3 and down-regulated T-bet expression in activated CD4 T cells. We also noted that CD44-deficiency could modify the state of dendritic cell subsets to induce a Th2-biased development. Results presented in this study demonstrate for the first time that CD44 participates in the regulation of Th1-Th2 differentiation.
Safe integration of new concerns in a software architecture

Software architectures must frequently evolve to cope with changing requirements, and this evolution often implies integrating new concerns. Unfortunately, existing architecture description languages provide little or no support for this kind of evolution. The software architect must modify the architecture manually, which risks introducing inconsistencies. In previous work, we have proposed the TranSATframework, which provides a pattern construct for describing new concerns and their integration into an existing architecture. As the interaction between the new concern and the existing architecture may be complex, it is essential that the framework ensure the coherence of the resulting architecture. In this paper, we introduce a language for specifying patterns and verifications that ensure that the concern represented by a pattern can be safely integrated into an existing architecture. The verifications comprise static verifications that check coherence properties before the architecture is modified and dynamic verifications that focus on the parts of the architecture that are affected by the pattern. As a result of these verifications, patterns can be provided as a commodity, such that a software architect can confidently apply a pattern obtained from a third-party developer
Exploiting the Data Sensitivity of Neurometric Fidelity for Optimizing EEG Sensing

With newly developed wireless neuroheadsets, electroencephalography (EEG) neurometrics can be incorporated into in situ and ubiquitous physiological monitoring for human mental health. As a resource constraint system providing critical health services, the EEG headset design must consider both high application fidelity and energy efficiency. However, through empirical studies with an off-the-shelf Emotiv EPOC Neuroheadset, we uncover a mismatch between lossy EEG sensor communication and high neurometric application fidelity requirements. To tackle this problem, we study how to learn the sensitivity of neurometric application fidelity to EEG data. The learned sensitivity is used to develop two algorithms: 1) an energy minimization algorithm minimizing the energy usage in EEG sampling and networking while meeting applications' fidelity requirements and 2) a fidelity maximization algorithm maximizing the sum of all applications' fidelities through the incorporation and optimal utilization of a limited data buffer. The effectiveness of our proposed solutions is validated through trace-driven experiments.
Uso de imagens digitais na avaliação do crescimento da taxa de cobertura do solo.

RESUMO: Existem varios metodos para avaliar o crescimento da vegetacao e a taxa de cobertura do solo. Medidas precisas e rapidas podem ser obtidas do tratamento digital de imagens geradas de câmeras fotograficas ou de video. Ha disponivel, no mercado, diversos processadores de imagens que apresentam funcoes basicas semelhantes, mas com certas particularidades que poderao trazer maior beneficio para o usuario, dependendo da aplicacao. O SPRING, desenvolvido pelo INPE, e de dominio publico, sendo mais abrangente do que um processador de imagens, incluindo funcoes de geoprocessamento. O ENVI foi desenvolvido para a analise de imagens multiespectrais e hiperespectrais, podendo tambem ser utilizado para o processamento de imagens obtidas de câmeras de video, por exemplo. O KS-300 e um conjunto de hardware e de software destinado ao processamento e a quantificacao de imagens microscopicas, permitindo a captacao direta das imagens geradas por meio de lupas, microscopios eletronicos ou câmeras de video. O SIARCS foi desenvolvido pela Embrapa Instrumentacao Agropecuaria para tornar mais agil o processo de captacao de dados de um sistema. Este trabalho apresenta os fundamentos teoricos basicos envolvidos na tecnica de analise de imagens, com as principais caracteristicas dos softwares citados acima e sua aplicacao na quantificacao da taxa de crescimento e da cobertura do solo por especies vegetais. ABSTRACT: Several methods exist to evaluate the growth of the vegetation and the tax of covering of the soil. Necessary and fast measures can be obtained of the digital treatment of generated images of photographic cameras or of video. There is available, in the market, several processors of images that you/they present similar basic functions, but with certain particularities that can bring larger benefit for the user, depending on the application. SPRING, developed by INPE, it is public domain, being including than a processor of images, including functions. ENVI was developed for the analysis of images multiespectrais and hiperespectrais, could also be used for the processing of obtained images of video cameras, for instance. The KS-300 it is a hardware group and software destined to the processing and quantification of microscopic images, allowing the direct reception of the images generated through magnifying glasses, eletronic microscopes or video cameras. SIARCS was developed by Embrapa Agricultural Instrumentation to turn more agile the process of reception of data of a system. This work presents the basic theoretical foundations involved in the technique of analysis of images, with the main characteristics of the softwares mentioned above and his application in the quantification of the growth tax and of the covering of the soil for vegetable species.
YdiV: a dual function protein that targets FlhDC for ClpXP‐dependent degradation by promoting release of DNA‐bound FlhDC complex

YdiV is an EAL‐like protein that acts as a post‐transcriptional, negative regulator of the flagellar master transcriptional activator complex, FlhD4C2, in Salmonella enterica to couple flagellar gene expression to nutrient availability. Mutants defective in ClpXP protease no longer exhibit YdiV‐dependent inhibition of FlhD4C2‐dependent transcription under moderate YdiV expression conditions. ClpXP protease degrades FlhD4C2, and this degradation is accelerated in the presence of YdiV. YdiV complexed with both free and DNA‐bound FlhD4C2; and stripped FlhD4C2 from DNA. A L22H substitution in FlhD was isolated as insensitive to YdiV inhibition. The FlhD L22H substitution prevented the interaction of YdiV with free FlhD4C2 and the ability of YdiV to release FlhD4C2 bound to DNA. These results demonstrate that YdiV prevents FlhD4C2‐dependent flagellar gene transcription and acts as a putative adaptor to target FlhD4C2 for ClpXP‐dependent proteolysis. Our results suggest that YdiV is an EAL‐like protein that has evolved from a dicyclic‐GMP phosphodiesterase into a dual‐function regulatory protein that connects flagellar gene expression to nutrient starvation.
Information Processing Approach in Organisational Cognitive Structures: Relationship between Top and Middle Managers' Cognitions

Despite of increasing interest in social cognitive research in strategic management during recent years, few studies have examined the relationship between cognitive structures of top management and middle management. This study represents the information processing approach in managerial cognition research assuming that top management communicate their shared cognitions into the organization reducing ambiguity of operative environment faced by the other levels of organization shaping the operations of the organizations. The authors' empirical study examines managerial cognitive maps collected with a cognitive mapping method in a transportation company. In the study, top managers and middle managers separately evaluated sustainability management issues and their relevance for the company providing 75 individual cognitive maps. Based on this, the authors' study aims to fill the gap in research of relationship between top management and middle management cognitive structures and increase understanding on role of managerial cognition in strategic management research.
Effect of die spacers on precementation space of complete-coverage restorations.

The authors measured the precementation space achieved in vivo with varying layers of die spacer. Two hundred and ninety-one castings were fabricated in the Advanced Education Program in Prosthodontics at New York University College of Dentistry, New York, New York. Each of four clinician groups applied one layer of Taub Die Hardener and from one to four layers of die spacer to within 0.5 to 1.0 mm of the dies' finishing line. The resultant castings were adjusted using GC Fit-Checker. After final seating of the casting, the Fit-Checker was removed, sectioned buccolingually, and measured using a micrometer at three locations (midocclusally, midaxially, and on the bevel) for a total of 657 readings. Only after data collection were the specimens identified by group. Analysis of variance demonstrated a significance for group and location. Post hoc one-way analysis of variance and Sheffe tests (P < .1) demonstrated that: (1) one or two layers of die spacer demonstrated smaller precementation spaces than three or four layers; (2) the midocclusal precementation space was greater than the midaxial precementation space; (3) on the bevel area where no die spacer was used, the most consistent and minimal precementation space was measured.
Traffic information aggregation and propagation scheme for vanet in city environment

Since more and more traffic congestion and accidents happened in the city environment, this paper presents a traffic information aggregation and propagation scheme, which is suitable for the city environment and based on Vehicle Ad hoc Network (VANET) to improve the traffic condition. Roadside units (RSUs) can collect, create and distribute traffic messages, using vehicle-to-vehicle communication and vehicles mutual cooperation. The traffic messages can help drivers to choose a better route and prepare against the traffic events. It's useful to avoid traffic jam and reduce the occurrence of traffic accidents. Compared with the existing traffic information systems, this scheme can capture the real-time traffic information accurately, and broadcast all traffic information at the same time. Therefore, the vehicles can receive the traffic information which it need in time. In this way, this scheme can meet the requirement of reducing traffic congestion and improving road safety.
An Evaluation Methodology for Collaborative Recommender Systems

Recommender systems use statistical and knowledge discovery techniques in order to recommend products to users and to mitigate the problem of information overload. The evaluation of the quality of recommender systems has become an important issue for choosing the best learning algorithms. In this paper we propose an evaluation methodology for collaborative filtering (CF) algorithms. This methodology carries out a clear, guided and repeatable evaluation of a CF algorithm. We apply the methodology on two datasets, with different characteristics, using two CF algorithms: singular value decomposition and naive bayesian networks.
Affective Robotics

Affective Robotics Alwin de Rooij, Joost Broekens and Maarten Lamers Leiden Institute of Advanced Computer Science, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands Man-Machine Interaction Group, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands Abstract. What form should happiness take? And how do we shape Disgust? This research investigates a fundamentally novel design approach to affective robotics design in which abstraction and the minimal requirements to perceive emotion expressions play a fundamental role. The core idea is that if we abstract away from the human body, and leave only the essential components relevant to convey emotions, this is sufficient to meet the cognitive requirements of human beings for affective interaction. As such, the novelty of our approach lies in the fact that it does not revolve around designing the anatomical body features used in emotion expression, e.g. facial expressions, body postures and arm gestures, but instead focuses on designing expressions based on the essential components of visual emotion recognition. Such a turnaround in design strategies requires a new design theoretical framework. To facilitate further exploration, this research unifies affective robotics, affective science and abstract art from a psychological perspective to develop design guidelines for what we call: abstract affective robotics. What form should happiness take? And how do we shape Disgust? This research investigates a fundamentally novel design approach to affective robotics design in which abstraction and the minimal requirements to perceive emotion expressions play a fundamental role. The core idea is that if we abstract away from the human body, and leave only the essential components relevant to convey emotions, this is sufficient to meet the cognitive requirements of human beings for affective interaction. As such, the novelty of our approach lies in the fact that it does not revolve around designing the anatomical body features used in emotion expression, e.g. facial expressions, body postures and arm gestures, but instead focuses on designing expressions based on the essential components of visual emotion recognition. Such a turnaround in design strategies requires a new design theoretical framework. To facilitate further exploration, this research unifies affective robotics, affective science and abstract art from a psychological perspective to develop design guidelines for what we call: abstract affective robotics.
SPATIAL ANALYSIS OF LAND USE IN BUMIAJI SUBDISTRICT, BATU CITY, EAST JAVA, INDONESIA

The Bumiaji area is an upstream river basin that has undergone land changes from an undeveloped to a developed area, which may cause a disturbance in the river basin. This research investigates the river basin using secondary data covering land use, land slope, rainfall, and soil types. The quality indicator of a river basin is measured from the quantity of surface runoff. The bigger the scale of the surface runoff is, the lower the quality of the river basin. This research aims to examine the effect of land use changes on the river basin condition, using surface runoff as the indicator. The result shows that the change of land use at Bumiaji affects the surface runoff coefficient and river discharge increment in the Bumiaji river basin. It is concluded that the runoff coefficient (C) increased in sub-river basins one to four, while it decreased in sub-river basin five.