Miracle-dz/UniFAR-FTUs huggingface dataset:
UbiNurSS on Mobile: A Ubiquitous Nursing Support System on Mobile Devices

Health-related aspects are very important to both civilian and each of the countries. Three key issues have been currently realized. Firstly, Deficiency of medical personnel affects the quality of treatment, care and nursing. Secondly, many countries have been approaching a super-aged society. Proper policies are needed and applied to the elderly. Thirdly, current medical system lacks of preventive medicine application which efficiently prevents and relieves disease prevalence. Computer technology has been currently applied to several domains in order to yield better performance. Wearable devices have become usable and applicable to sense several vital signs and communicate them with other networked nodes via the Internet. In this paper, "UbiNurSS on Mobile - A Ubiquitous Nursing Support System on Mobile Devices" has been developed for nursing support. UbiNurSS employs available devices which are capable of measuring pulse which reflects pulse or heart rate and blood pressure. Mobile devices have also been used. UbiNurSS on Mobile consists of two sub-systems -- a mobile application which facilitates health monitoring and warning for both wearer and doctor, and a web application which facilitates the nurse's or caregiver's tasks at a nursing station or an ordinary dwelling. The heart rate report and corresponding warning can be generated in real-time. We demonstrate feasible applicability of UbiNurSS on Mobile in terms of users' satisfaction survey.
Animating flow fields: rendering of oriented line integral convolution

Line Integral Convolution (LIC) is a common approach for the visualisation of 2D vector fields. It is well suited for visualizing the direction of a flow field, but it gives no information about the orientation of the underlying vectors. We introduce Oriented Line Integral Convolution (OLIC), where direction as well as orientation are encoded within the resulting image. This is achieved by using a sparse input texture and a ramp like (anisotropic) convolution kernel. This method can be used for animations, whereby the computation of so called pixel traces fastens the calculation process. Various OLICs illustrating simple and real world vector fields are shown.
Compared performances of homopolar and bipolar hybrid excitation synchronous machines

This paper presents a description, operating principle and experimental study of two hybrid excitation synchronous machines in motor and generator modes. These machines combine two flux sources: permanent magnets, located in the rotor, and field coils, located in the stator avoiding sliding contacts. Thanks to this particular configuration the air gap flux can be easily controlled, without any risk of magnets demagnetisation. Two machines are thoroughly studied in this paper. They have the same stator but different rotors. Tests are performed on the prototype machines to assess their flux weakening capability, torque (motor mode), output power (generator mode) and efficiency characteristics. The first prototype has a homopolar configuration whereas the second one has a bipolar configuration. These two configurations are compared using experimental measurements. The advantages and drawbacks of each configuration are also reported.
A Note on Phasing Long Genomic Regions Using Local Haplotype Predictions

The common approaches for haplotype inference from genotype data are targeted toward phasing short genomic regions. Longer regions are often tackled in a heuristic manner, due to the high computational cost. Here, we describe a novel approach for phasing genotypes over long regions, which is based on combining information from local predictions on short, overlapping regions. The phasing is done in a way, which maximizes a natural maximum likelihood criterion. Among other things, this criterion takes into account the physical length between neighboring single nucleotide polymorphisms. The approach is very efficient and is applied to several large scale datasets and is shown to be successful in two recent benchmarking studies (Zaitlen et al., in press; Marchini et al., in preparation). Our method is publicly available via a webserver at http://research.calit2. net/hap/.
Induction Machine Characterization for Short-Term or Momentary Stall Torque

The conventional wisdom on peak-duty drive design leads to vastly oversized machines, following design strategies that are based on continuous ratings. This paper investigates induction machine time ratings that allow peak electrical capabilities to be fully attained. The machine transient thermal response is used to identify four heating regimes based on the dominant heat-transfer mode: subtransient, transition, transient, and temperature creep. A strong connection between the subtransient mode and i2t ratings is presented. The impacts of stator and rotor losses on the end-winding temperature are independently identified. This information is combined into a transient thermal impedance characteristic, which provides time ratings as a function of stator and rotor losses with less than 10% error. This method is also adapted for unbalanced supply conditions and rotor-related excess heating conditions with similar error. An implementation of time rating information on a drive system is shown to exploit machine peak ratings. The presented characterizations inform the short-term peak energy density of induction machines.
Integration of heterogeneous relational databases: RDF mapping approach

Mapping process is important in integrating data and knowledge from multiple heterogeneous relational databases. Mapping from a relational database to a description that uses the Resource Description Framework (RDF) shows promising results where it will not jeopardize the semantics of the data. The integration is also important in realizing simultaneous data query from multiple databases. Thus, this paper defined a practical approach for creating mappings between three relational databases of scholarly content (journal and proceeding) to RDF.
Anterior Cervical Uncoforaminotomy performed with Piezosurgery Technical Note

The microsurgical anterior foraminotomy is a well-established treatment of cervical radiculopathy in cases of cervical disc herniation and spondylotic foraminal stenosis. The risk of injuring vertebral artery because of the proximity to the uncovertebral joint, which is resected with the drill is not insignificant. PIEZOsurgery is known to reduce the risk of soft tissue damage in fields of maxillofacial / ENT surgery, because it selectively cuts mineralized structures. The use of PIEZOsurgery is widespread in paediatric neurosurgery, but until now there are only a few studies about dorsal spine procedures and none about anterior approaches to the cervical spine published. We report our experience of ventral approaches to the cervical spine with this innovative ultrasonic osteotomy tool. With selective cutting of mineralized structures and a good visualisation, dissection along the nerval and vascular structures could be performed without damage. In our opinion the use of the PIEZOsurgery osteotomy gives the surgeon a safe possibility to perform the uncoforaminotomy and to decompress the cervical root. The PIEZOsurgery tool will allow surgeons, to perform this surgery with lower risk of damage soft tissues or the vertebral artery.
Methods for Intense Aeration, Growth, Storage, and Replication of Bacterial Strains in Microtiter Plates

ABSTRACT Miniaturized growth systems for heterogeneous culture collections are not only attractive in reducing demands for incubation space and medium but also in making the parallel handling of large numbers of strains more practicable. We report here on the optimization of oxygen transfer rates in deep-well microtiter plates and the development of a replication system allowing the simultaneous and reproducible sampling of 96 frozen glycerol stock cultures while the remaining culture volume remains frozen. Oxygen transfer rates were derived from growth curves of Pseudomonas putida and from rates of oxygen disappearance due to the cobalt-catalyzed oxidation of sulfite. Maximum oxygen transfer rates (38 mmol liter−1 h−1, corresponding to a mass transfer coefficient of 188 h−1) were measured during orbital shaking at 300 rpm at a shaking diameter of 5 cm and a culture volume of 0.5 ml. A shaking diameter of 2.5 cm resulted in threefold-lower values. These high oxygen transfer rates allowed P. putida to reach a cell density of approximately 9 g (dry weight) liter−1 during growth on a glucose mineral medium at culture volumes of up to 1 ml. The growth-and-replication system was evaluated for a culture collection consisting of aerobic strains, mainly from the generaPseudomonas, Rhodococcus, andAlcaligenes, using mineral media and rich media. Cross-contamination and excessive evaporation during vigorous aeration were adequately prevented by the use of a sandwich cover of spongy silicone and cotton wool on top of the microtiter plates.
SLIC in a defined mask with applications to medical imaging

Supervoxel methods are effective for reducing an image or volume into a set of locally similar regions which has a number of advantages to pixel based methods for segmentation and graph based methods. Simple linear iterative clustering (SLIC) is an effective supervoxel method but is limited to rectangular volumes. In this paper we reformulate the SLIC algorithm to work more effectively in predefined regions-of-interest. The key contribution is the reformulation of the seed point initialisation. This method is applied to an example image with source code and a live demo available. There are a number of applications to computing SLIC inside an mask region including assessment of pathological subregions.
Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection

Ph. D. thesis in Computer Science written by Antonio Reyes Perez under the supervision of Dr. Paolo Rosso (Universitat Politecnica de Valencia). The thesis defense was done in Valencia (Spain) on July 2nd, 2012. The doctoral committee was integrated by the following doctors: Antonia Marti Antonin (University of Barcelona), Walter Daelemans (University of Antwerp), Richard Anthony (Tony) Veale (University College Dublin), Carlo Strapparava (Fondazione Bruno Kessler FBK -IRST), and Jose Antonio Troyano Jimenez (University of Sevilla). The obtained grade was Cum Laude.
Factor Shares , Factor Substitution and Biased Technical Progress in the US : A Normalized Supply-Side System Approach

Using a normalized CES function with factor-augmenting technical progress, we estimate a supply-side system of the US economy from 1953 to 1998. Avoiding potential biases that have occurred in earlier estimations and putting a high emphasis on the consistency of the data set, required by the estimated system, we obtain robust results not only for the aggregate elasticity of substitution but also for the parameters of labor and capital augmenting technical change. We find that the elasticity of substitution is significantly below unity and that the growth rates of technical progress show an interesting asymmetrical pattern where the growth of labor-augmenting technical progress is exponential, while the growth of capital augmenting progress is hyperbolic or logarithmic. JEL: C22, E23, E25, 030, 051.
Low temperature bainite

It is demonstrated that bainite can be obtained by isothermal transformation at a temperature which is so low that the calculated diffusion distance of an iron atom, over the time scale of the experiment, is many orders of magnitude less than an interatomic spacing; and yet, it is possible to obtain plates of bainite which are a few micrometers in length. Bainite has been obtained by isothermal transformation at 400 K. The time taken for nucleation at this temperature can be many days, but the transformation results in the growth of extremely thin platelets of bainite, so thin that the hardness of the resulting steel can be greater than 600HV.
New data warehouse designing approach based on principal component analysis

Decision making has become a strategic need for any business. Indeed, it is among the priorities of capital business. The establishment of decision information systems facilitates the data exploitation and analysis. We distinguish data warehouses as the core system of business intelligence to ensure the structuring and analysis of multidimensional data. Consequently, the design of data warehouses has become a major problem, leading to the development of appropriate approaches to implement data warehouses. In this paper, we propose an approach to design and to construct data warehouses based on a descriptive statistics technique for the analysis of multidimensional data in the Principal Components Analysis (PCA). The findings of this article appear in two main areas: (i) a conceptual model data warehouse, (ii) an algorithm for the determination of measures and dimensions. A case study is used to validate our proposal.
Influence of automatic word reading on motor control

We investigated the possible influence of automatic word reading on processes of visuo‐motor transformation. Six subjects were required to reach and grasp a rod on whose visible face the word ‘long’ or ‘short’ was printed. Word reading was not explicitly required. In order to induce subjects to visually analyse the object trial by trial, object position and size were randomly varied during the experimental session. The kinematics of the reaching component was affected by word presentation. Peak acceleration, peak velocity, and peak deceleration of arm were higher for the word ‘long’ with respect to the word ‘short’. That is, during the initial movement phase subjects automatically associated the meaning of the word with the distance to be covered and activated a motor program for a farther and/or nearer object position. During the final movement phase, subjects modified the braking forces (deceleration) in order to correct the initial error. No effect of the words on the grasp component was observed. These results suggest a possible influence of cognitive functions on motor control and seem to contrast with the notion that the analyses executed in the ventral and dorsal cortical visual streams are different and independent.
Design considerations to realize automated SLA negotiations in a multi-Cloud brokerage system

Cloud broker concept is considered as one of solutions for federating distributed multi-Cloud. In order to design and realize a Cloud brokerage system, we need to devise establishment and management of SLA (Service Level Agreement). Whereas a SLA negotiation in a Cloud is assumed to be a basic functionality to establish a SLA, there has been some lack of efforts to apply, configure, and design SLA negotiation mechanism for a Cloud broker, which arbitrates multiple Cloud providers. In this paper, therefore, we design a multi-Cloud broker and reveal design considerations to realize an automated SLA negotiation in a multi-Cloud broker. Briefly, the decision issues to realize a SLA negotiation are as follows: 1) Negotiation lifecycles according to types of Cloud broker, 2) negotiation protocol, 3) negotiable SLA issues, 4) multi-issue negotiation support, and 5) deployment position of negotiation agents.
Implementation of robotic gripper based on pressure module and smart fuzzy controller

In this study, an alternative robotic grasping gripper including a vision system, machine fingers, pressure modules and smart fuzzy grasping controller is designed and implemented. To avoid the redundant computation of inverse kinematics, the relative coordinates are adopted in the proposed architecture. To identify the stiffness and shape of different grasping objects, a smart fuzzy grasping controller is embedded into the recognition process firstly. According to the identifying results, the membership functions of the smart fuzzy grasping controller are precisely tuned to generate the joint angles of the servo motors. The effectiveness is verified by some experimental results, and the proposed architectures are implemented in the home-made robotic grasping gripper in laboratory.
Five Questions on Epistemic Logic

My work on epistemic logic developed from my research in artificial intelligence. My formal education in mathematics and my interests in philosophy and linguistics led me to Richard Montague’s synthesis of a formal grammar with an intensional semantics based on Kripke’s possible worlds. Around the same time, however, my readings in psycholinguistics showed that young children learn to use modal expressions with far greater ease and flexibility than graduate students learn Montague’s logic. Following are some sentences spoken by a child named Laura who was less than three years old (Limber 1973): Here’s a seat. It must be mine if it’s a little one. I want this doll because she’s big. When I was a little girl I could go “geek-geek” like that. But now I can go “this is a chair. ” In these sentences, Laura correctly expressed possibility, necessity, tenses, indexicals, conditionals, causality, quotations, and metalanguage about her own language at different stages of life. She already had a fluent command of a much larger “fragment of English” than Montague had formalized.
THE EFFICIENCY OF BIAS { CORRECTEDESTIMATORS FOR NONPARAMETRIC KERNELESTIMATION BASED ON LOCAL ESTIMATINGEQUATIONSG

Stuetzle and Mittal (1979) for ordinary nonparametric kernel regression and Kauermann and Tutz (1996) for nonparametric generalized linear model kernel regression constructed estimators with lower order bias than the usual estimators, without the need for devices such as second derivative estimation and multiple bandwidths of diierent order. We derive a similar estimator in the context of local (multivariate) estimation based on estimating functions. As expected, this lower order bias is bought at a cost of increased variance. Surprisingly, when compared to ordinary kernel and local linear kernel estimators, the bias{corrected estimators increase variance by a factor independent of the problem, depending only on the kernel used. The variance increase is approximately 40% and more for kernels in standard use. However, the variance increase is still less than that incurred when undersmoothing a local quadratic regression estimator.
Inflammatory Reaction as Determinant of Foreign Body Reaction Is an Early and Susceptible Event after Mesh Implantation

Purpose. To investigate and relate the ultrashort-term and long-term courses of determinants for foreign body reaction as biocompatibility predictors for meshes in an animal model. Materials and Methods. Three different meshes (TVT, UltraPro, and PVDF) were implanted in sheep. Native and plasma coated meshes were placed bilaterally: (a) interaperitoneally, (b) as fascia onlay, and (c) as muscle onlay (fascia sublay). At 5 min, 20 min, 60 min, and 120 min meshes were explanted and histochemically investigated for inflammatory infiltrate, macrophage infiltration, vessel formation, myofibroblast invasion, and connective tissue accumulation. The results were related to long-term values over 24 months. Results. Macrophage invasion reached highest extents with up to 60% in short-term and decreased within 24 months to about 30%. Inflammatory infiltrate increased within the first 2 hours, the reached levels and the different extents and ranking among the investigated meshes remained stable during long-term follow up. For myofibroblasts, connective tissue, and CD31+ cells, no activity was detected during the first 120 min. Conclusion. The local inflammatory reaction is an early and susceptible event after mesh implantation. It cannot be influenced by prior plasma coating and does not depend on the localisation of implantation.
ON MAGNESIUM SULFIDE AS THE CARRIER OF THE 30 μm EMISSION FEATURE IN EVOLVED STARS

A large number of carbon-rich evolved objects (asymptotic giant branch stars, protoplanetary nebulae, and planetary nebulae) in both the Milky Way galaxy and the Magellanic Clouds exhibit an enigmatic broad emission feature at ∼ 30 μm. This feature, extending from ∼ 24 μm to ∼ 45 μm, is very strong and accounts for up to ∼ 30% of the total infrared luminosity of the object. In literature it is tentatively attributed to magnesium sulfide (MgS) dust. Using the prototypical protoplanetary nebula around HD 56126 for illustrative purpose, however, in this work we show that in order for MgS to be responsible for the 30 μm feature, one would require an amount of MgS mass substantially exceeding what would be available in this source. We therefore argue that MgS is unlikely the carrier of the 30 μm feature seen in this source and in other sources as well.
Using Geographical Information Systems to Identify Populations in Need of Improved Accessibility to Antivenom Treatment for Snakebite Envenoming in Costa Rica

Introduction Snakebite accidents are an important health problem in rural areas of tropical countries worldwide, including Costa Rica, where most bites are caused by the pit-viper Bothrops asper. The treatment of these potentially fatal accidents is based on the timely administration of specific antivenom. In many regions of the world, insufficient health care systems and lack of antivenom in remote and poor areas where snakebites are common, means that efficient treatment is unavailable for many snakebite victims, leading to unnecessary mortality and morbidity. In this study, geographical information systems (GIS) were used to identify populations in Costa Rica with a need of improved access to antivenom treatment: those living in areas with a high risk of snakebites and long time to reach antivenom treatment. Method/Principal Findings Populations living in areas with high risk of snakebites were identified using two approaches: one based on the district-level reported incidence, and another based on mapping environmental factors favoring B. asper presence. Time to reach treatment using ambulance was estimated using cost surface analysis, thereby enabling adjustment of transportation speed by road availability and quality, topography and land use. By mapping populations in high risk of snakebites and the estimated time to treatment, populations with need of improved treatment access were identified. Conclusion/Significance This study demonstrates the usefulness of GIS for improving treatment of snakebites. By mapping reported incidence, risk factors, location of existing treatment resources, and the time estimated to reach these for at-risk populations, rational allocation of treatment resources is facilitated.
A neurophysiological–metabolic model for burst suppression

Burst suppression is an electroencepholagram (EEG) pattern in which high-voltage activity alternates with isoelectric quiescence. It is characteristic of an inactivated brain and is commonly observed at deep levels of general anesthesia, hypothermia, and in pathological conditions such as coma and early infantile encephalopathy. We propose a unifying mechanism for burst suppression that accounts for all of these conditions. By constructing a biophysical computational model, we show how the prevailing features of burst suppression may arise through the interaction between neuronal dynamics and brain metabolism. In each condition, the model suggests that a decrease in cerebral metabolic rate, coupled with the stabilizing properties of ATP-gated potassium channels, leads to the characteristic epochs of suppression. Consequently, the model makes a number of specific predictions of experimental and clinical relevance.