Miracle-dz/UniFAR-FTUs huggingface dataset:
GRP78 (Glucose-Regulated Protein of 78 kDa) Promotes Cardiomyocyte Growth Through Activation of GATA4 (GATA-Binding Protein 4)

The heart manifests hypertrophic growth in response to elevation of afterload pressure. Cardiac myocyte growth involves new protein synthesis and membrane expansion, of which a number of cellular quality control machineries are stimulated to maintain function and homeostasis. The unfolded protein response is potently induced during cardiac hypertrophy to enhance protein-folding capacity and eliminate terminally misfolded proteins. However, whether the unfolded protein response directly regulates cardiac myocyte growth remains to be fully determined. Here, we show that GRP78 (glucose-regulated protein of 78 kDa)—an endoplasmic reticulum-resident chaperone and a critical unfolded protein response regulator—is induced by cardiac hypertrophy. Importantly, overexpression of GRP78 in cardiomyocytes is sufficient to potentiate hypertrophic stimulus-triggered growth. At the in vivo level, TG (transgenic) hearts overexpressing GRP78 mount elevated hypertrophic growth in response to pressure overload. We went further to show that GRP78 increases GATA4 (GATA-binding protein 4) level, which may stimulate Anf (atrial natriuretic factor) expression and promote cardiac hypertrophic growth. Silencing of GATA4 in cultured neonatal rat ventricular myocytes significantly diminishes GRP78-mediated growth response. Our results, therefore, reveal that protein-folding chaperone GRP78 may directly enhance cardiomyocyte growth by stimulating cardiac-specific transcriptional factor GATA4.
Psychology in School-Based Prevention, Early Intervention, Treatment and Abstinence Maintenance

This article outlines factors to consider when planning prevention, treatment or abstinence maintenance interventions for drug abuse, especially marijuana abuse, in the schools. It discusses the literature on the effectiveness of anti-drug campaigns on drug use, reviews the spectrum of mental health interventions, discusses the ramifications for their use in schools' work to intervene in drug use, provides examples of programming and examines roles that utilize psychologists to impact marijuana use in schools through prevention, early intervention, treatment and abstinence maintenance. Much of the school-based prevention and intervention literature is generic on the subject of 'drugs'. We have tried to be specific to marijuana use when possible; however, few programs targeted only marijuana, many targeted alcohol and other drug use.
Extent and Determinants of General Practitioner Referrals and Contacts With Mental Health Care Providers

In light of current reforms designed to enhance primary care and service integration, this study assesses variables associated with referrals of general practitioners (N = 398) to and their contacts with mental health care providers. Referrals appeared to be more closely related to the case complexity of patients and GPs' individual characteristics (i.e., perceived importance of interorganizational relationships, experience and expertise in mental health), whereas contacts were linked more closely to issues of system quality and access to a shared-care model. Our findings (a) support the development of collaborative models to enhance relationships between mental health care providers and GPs, and (b) promote greater availability and diversity of mental health care services.
What is the University of the Pacific Scholarly Commons and how can it benefit the dental school

Digital repositories, also known as institutional repositories or digital commons, are rapidly becoming adopted by many universities and colleges to easily store, retrieve and disseminate scholarly objects created by faculty and students during research activities. At the McGeorge School of Law, a digital repository provides evidence of success in sharing research worldwide through open access of academic law papers. In this presentation, join the University Librarian Mary Somerville, McGeorge Assistant Dean for Library Services James Wirrell, and Pacific Health Sciences Librarian Mickel Paris as they discuss the potential of a 3 campus Pacific repository, and show how the Arthur A. Dugoni School of Dentistry may benefit.
Hardware architecture of a neural net based retina implant for patients suffering from retinitis pigmentosa

This work describes the architecture and planned realization of components for a retina implant which includes a sensory device for image acquisition, biologically inspired neural nets for modeling and computation of receptive field functions, and a human interface for electrostimulation of ganglion cells. The system will be used to generate visual sensations based on captured visual images for patients with degenerated retina functions. Special CMOS circuitry will be developed for an integrated photodetector array with preprocessing according to the requirements for biology inspired spatio-temporal signal processing. Also, the development will include a flexible silicon multielectrode structure with microelectronic action potential generation for stimulation of intact retinal ganglion cells and a wireless communication interface linking the external retina encoder hardware and the implanted stimulator hardware.
Practical speaker-independent voice recognition using segmental features

This paper reports a practical method that achieves speaker-independent large-vocabulary voice recognition with high accuracy and high noise immunity but with small computational complexity. The first feature of the method is that highly accurate recognition is realized by using an acoustic model in which the input consists of the segmental features formed by the analysis parameters of multiple frames. The second feature is that the likelihood corresponding to the output probability of each state of the acoustic model is calculated by a linear expression with the input parameter vector as the variable. The linear expression is derived from the equal-covariance assumption. This linear expression reduces the computational complexity and the required memory capacity even if segmental features are used, without degrading recognition performance. The third feature is that a stable word spotting function detects correct solution candidates from the noise interval by including the idea of the a posteriori probability in the likelihood calculation. This word spotting function allows voice recognition which is robust to noise to be realized. The effectiveness of the proposed system was demonstrated in a recognition experiment with superimposed interior noise of a running vehicle. © 2004 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 87(2): 73–81, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.10217
Estudio de materiales con cambio de fase (PCM) y análisis SEM de micro PCM

El presente estudio pretende analizar las diferentes clasificaciones de materiales con cambio de fase disponibles a nivel industrial, para identificar aquellos que son potencialmente viables para su adicion en materiales termoplasticos. Igualmente, seleccionar un PCM potencialmente interesante y llevar a cabo un analisis microscopico del mismo.
Automatic Conversion of Natural Language to 3D Animation

The purpose of this research is to investigate the process of mental imagery from a computational perspective, employing theories and resources from linguistics, natural language processing, and computer graphics about human language visualisation. This thesis presents our progress toward the automatic creation of 3D animation from natural language text. Lexical Visual Semantic Representation (LVSR) is proposed, which connects linguistic semantics to the visual semantics and is suitable for action execution (animation). We investigate visual semantics of verbs, and introduce the notion of visual valency which is used as a primary criterion to construct a visual semantic based ontology. The visual valency approach is a framework for modelling deeper semantics of verbs. Lexicon-based approaches used for word sense disambiguation are also discussed. The context and the senses of the ambiguous verb are analysed using hypernymy relations and word frequency information in WordNet and thematic roles in LCS (Lexical Conceptual Structure) database. The significance of this research is also related to an animation blending approach which combines precreated and dynamically generated animation facilities into a unified mechanism and an object-oriented object modelling approach for decentralising the control of animation engine. An intelligent storytelling system called CONFUCIUS, which visualizes single sentences into 3D animation, speech, and sound effects, has been implemented in Java and VRML. CONFUCIUS is an overall framework of language visualisation, using computer graphics techniques with NLP to achieve high-level animation generation. We conducted an evaluation experiment where subjects were asked to complete a questionnaire either rating agreement for the generated animation or selecting the closest text from four candidates which describes the animation best. The results show a low error rate of comprehension measures of animation (8.33%) and 3.82 average agreement score. We also evaluated the syntactic parsing by test-suite based diagnostic evaluation, and anaphora resolution and semantic analysis by corpus-based adequacy evaluation. CONFUCIUS gives promising results on word sense disambiguation (70% accuracy) with regard to the dataset it is tested on. Future work is suggested for extending the knowledge base and improving commonsense reasoning from lexicons to present more verb classes, extending language visualisation to discourse level, and applying physics, such as dynamics and kinematics, to 3D animation.
Death from electric shock

Recent studies have advanced our knowledge of the mechanisms of death from electric shock. It is known that biological effects are related to the passage of current rather than to applied voltage. The paper considers only the fatalities resulting from accidents at power frequencies. There are three possible mechanisms, of death: ventricular fibrillation (incordinate action of the heart), respiratory arrest (at one time believed to be very common, and hence the usual advice on artificial respiration) and asphyxia resulting from a prolonged `hold-on? type of shock passing across the chest. Unfortunately the appearances at post mortem do not help to distinguish between these different mechanisms of death, and so reliance must be placed on circumstantial evidence, in which the pathway of the current through the body is important. It is probable that the great majority of electrical fatalities are due to ventricular fibrillation, which brings the circulation to a standstill. The currents and times necessary to produce this effect have been suggested; but in deriving these, certain assumptions have been made. These assumptions are discussed, for it is important to recognise them when assessing the use of devices such as earth-leakage circuit breakers.
Performance analysis for embedded software design

to reduce the number of implementation errors in the integration phase of a software project, new software development methods are required. The Analytical Software Design (ASD) method of the company Verum provides design strategies combined with model-checking to reduce the number of errors made when developing software. Currently there is no insight into the performance of a software system, before the implementation phase of a project has been finished. When a system does not meet the performance requirements after integration, improving the software speed in this stage of the project is a very expensive and time consuming process. To provide early stage insight into the performance of a software system, adequate performance models and corresponding analysis tools are needed. In the thesis a start is made by modelling and analysing the performance of the software generated by the ASD suite. A hierarchical approach is used to model the whole ASD generated software. Queuing theory is applied to model the blocks, that are generated by the ASD suite. Waiting time propagation then composes the model for the whole system from the individual blocks. The focus of this thesis is on making accurate models, with scalable analysis techniques. Single ASD blocks are modelled as queueing stations and a case study shows that the analysis results match the simulation results accurately. To model the dependencies between different blocks, phase type distributions are used. Also systems composed of multiple blocks are analysed and validated using simulation. The analytic results for larger systems deviate substantially from the simulation, because some dependencies are left out of the model. Recommendations are given to improve the quality of the results in future research. One way to do this, could be tto embedded these dependencies into the model by also using phase type distributions for elements that are currently modelled as negative exponential distributions.
Leer para aprender y aprender a leer en la universidad: entre las lecturas estéticas y eferentes

This article describes central aspects of the relationship university students establish with reading. The description is made based on the analysis of accounts on the experience of reading written by freshman students (2002-2007). The study is based on concepts developed by sociocultural psychology and the transactional theories of reading. The analysis of the accounts is oriented by theory supported by data. The results show links between efferent and aesthetic stances, expressed in accounts based on what the readers evoke and what reading provokes.
Radar Target Location Based on Compressive Sensing Technique

In order to reduce the sampling rate and efficiently make use of samplings in radar target estimation, the paper proposed a novel MIMO radar target localization algorithm based on compressive sensing. It firstly divides the target area into grids which is assumed contained the target. A grid is denoted 1 if it includes the target, otherwise, it is denoted 0. The entire region thus is surrogated by a sparse vector comprising number 0 and 1, turning the problem of target location into a sparse vector-reconstruction problem. This paper then establishes a target echo signal model of MIMO radar in the grid. Few samples is obtained by use of compressive sensing, they can reconstruct the radar target location sparse vector by use of adaptive matching pursuit algorithm (SAMP). Solving the reconstructed matrix yields the problem of radar target location. The effectiveness of the proposed algorithm is verified by use of simulation experiments.
Reconsidering Findings of “No Effects” in Randomized Control Trials

The primary technique that many researchers use to analyze data from randomized control trials (RCTs)—detecting the average treatment effect (ATE)—imposes assumptions upon the data that often are not correct. Both theory and past research suggest that treatments may have significant impacts on subgroups even when showing no overall effect. Giving primacy to ATEs thus may lead to the rejection of treatments that in fact are helpful to some people. Using simulations, I examine the power of ATEs to detect treatment impacts when treatment impacts vary. Models that allow for varying impacts accurately measure the treatment effect in the simulation and are robust in a variety of circumstances. However, a focus on ATEs often fails to find the known treatment effects.
Teaching Left-Handed Primary School Pupils in Estonia

Teaching Left-Handed Primary School Pupils in Estonia At the primary school level, can children distinguished by their skills/abilities be sure that by acknowledging their differences they can be guaranteed a sustainable education? To what extent are they given equal treatment? The goal of this study was to identify the number of left-handed pupils in different classes of Estonian primary school and to discover what knowledge and skills are needed to teach the left-handed children. Results show that a significant number of elementary school children (9%) are left-handed, justifying a need to pay more attention to their uniqueness. In contrast, 46% of surveyed teachers report not having the necessary knowledge and skills to teach this population. While left-handedness has not been researched much throughout the world, including Estonia, it is necessary to recognize that a significant number of students are left handed and teacher knowledge about how to anticipate and prevent their difficulties in a school setting should be taken into consideration to guarantee the success of these children at school and in everyday life.
Essential thrombocythemia,polycythemia vera,and myelofibrosis:Current management and the prospect of targeted therapy

The recent discovery of JAK2 and/or MPL mutations in polycythemia vera(PV),essential thrombocythemia(ET),and primary myelofibrosis(PMF)has had a major impact on how we diagnose and treat these disorders.For instance,the presence of a JAK2 mutation is now considered necessary for the diagnosis of PV and the World Health Organization classification system has recently revised its diagnostic criteria for PV,ET and PMF to include JAK2 and MPL mutations as clonal markers.From the standpoint of treatment,JAK-STAT is now identified as a legitimate target pathway for drug development in myeloproliferative neoplasms.we will first outline the views regarding current management in ET,PV and PMF and then discuss emerging data on preclinical and clinical activity of anti-JAK2 small molecule drugs.
Visual culture and tourism

From postcards and paintings to photography and film, tourism and visual culture have a long-standing history of mutual entanglement. For centuries art has inspired many an intrepid traveller, and tourism provides an insatiable market for indigenous art, authentic or otherwise. This book explores the complex association between tourism and visual culture throughout history and across cultures. How has tourism been linked to images of colonial expansion? Why are we so intrigued by lost places, such as Tutankhamun's tomb or Machu Picchu, South Americas lost city of the Incas? What is the relationship between art, tourism and landscape preference? What role did commercial tourist photographers play in the imagination of Victorian Britain? Drawing upon examples from across the globe, this exciting new contribution to a popular subject illustrates how tourism and visual culture intersect with one another and in the process become contested ground. - summary from Copac record
Enrichment of {OWL} Ontologies: A Method for Defining Axioms from Labels

An increasing interest in biomedical ontologies has provoked the development of a significant number of ontologies. Many such ontolo- gies have not been created by computer scientists or ontology engineers, but by domain experts. Some of these ontologies are rich in implicit knowledge, which is frequently within the labels of the classes. However, these ontologies are really just plain taxonomies and controlled vocabu- laries with little degree of axiomatization, being difficult to use for ma- chine processing. In previous work we proposed a process for enriching ontologies which included the analysis of such labels, the identification of lexical patterns and the design of knowledge patterns from them. How- ever, this process relied on manual intervention and it was apply in just one ontology. In this paper we refine the method and develop an auto- matic tool to guide the process of including axiomatization in ontologies through the automated study of labels. Additionally, the identification of the lexical patterns is support with information about external entities that could be re-used. Finally, such knowledge patterns are coded and executed using the Ontology Pre-Processor Language (OPPL), and our tool permits their definition without advanced knowledge of OPPL.
Composición fenólica de tejido foliar y de polen de Zea perennis

Resumen La composición fenólica del tejido foliar y del polen en Zea perennis se determinó por HPLC/DAD. Veintisiete compuestos se detectaron en las hojas, siendo los derivados de ácidos fenólicos los más abundantes. En el polen se detectaron 11 compuestos, de los cuales sobresalen los glicósidos de quercetina. La abundancia y diversidad de compuestos fenólicos presentes en Zea perennis sugiere que esta especie es una fuente importante de fenoles, compuestos con espectro amplio de actividades biológicas e importantes quimiomarcadores.
Localization for mobile sensor network based on unscented Kalman filter with clipping and uncorrelated conversion

This article studies localization for mobile sensor network with incomplete range measurements, that is, the ranges between some pairs of sensors cannot be measured. Different from existing works that localize sensors one by one, the localization problem in this article is solved for the whole mobile sensor network. According to whether the ranges can be measured or not, all the sensors in the network are grouped to construct basic localization units. For the sensors in basic localization units, a constrained nonlinear model is first established to formulate their relative motion, where the motion states are chosen as ranges and cosine values of angles between ranges. Then, based on the established model, a constrained unscented Kalman filter is adopted to provide motion state estimation. In the constrained unscented Kalman filter, the clipping technique is introduced to handle the model constraints, and the uncorrelated conversion technique is introduced to make full use of measurements. Hence, the estimation accuracy can be improved. Finally, the distributed multidimensional scaling-map method is used to localize the whole sensor network using the estimated ranges, and a localization algorithm is presented. The effectiveness and advantages of the proposed algorithm are demonstrated through several simulation examples.
MOVE: A Practical Simulator for Mobility Model in VANET

Vehicular Ad-Hoc Network (VANET) is surging in popularity, in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system in real world, most research in VANET relies on simulations for evaluation. A key component for VANET simulations is a realistic vehicular mobility model that ensures conclusions drawn from simulation experiments will carry through to real deployments. However, VANET simulations raise many new questions about suitable levels of details in simulation models for nodes mobility. In VANET simulations, the mobility models used affect strongly the simulation output. The researchers need to decide what level of details are required for their simulations. In this chapter, the authors introduce a tool MOVE that allows users to rapidly generate realistic mobility models for VANET simulations. MOVE is built on top of an open source micro-traffic simulator SUMO. The output of MOVE is a realistic mobility model and can be immediately used by popular network simulators such as ns-2 and Qualnet. The authors show that the simulation results obtained when using a realistic mobility model such as MOVE are significantly different from results based on the commonly used random waypoint model. In addition, the authors evaluate the effects of details of mobility models in three case studies of VANET simulations (specifically, the existence of traffic lights, driver route choice and car overtaking behavior) and show that selecting sufficient level of details in the simulation is critical for VANET protocol design. DOI: 10.4018/978-1-60566-840-6.ch021