Miracle-dz/UniFAR-FTUs huggingface dataset:
I2MeDS: Intelligent Integrated Medical Data System

Miniaturization of computing devices and advances in wireless communication have fueled interest in the development of new and innovative applications in many fields, including medical diagnosis, environmental monitoring, and industrial applications. Although medical instruments have benefited a great deal from the technological advances in past decades, many practices and day-to-day activities in medical environments remain virtually unchanged. Due to concerns about security and reliability of new technologies, penetration of IT advancements into the medical domain remains a challenge. This paper shows how healthcare can benefit significantly from incorporating various IT developments, particularly wireless technologies. Proposed here is a new model for utilizing wireless technology to address key issues in medical environments, such as monitoring and tracking medical assets and detecting/preventing errors during medication administration. The proposed Intelligent Integrated Medical Data System (I2MeDS) is based on the development of a secure and reliable network infrastructure with a unified database management system.
The Evolution of the Minimum Degree Ordering Algorithm

Over the past fifteen years, the implementation of the minimum degree algorithm has received much study, and many important enhancements have been made to it. This paper describes these various enhancements, their historical development, and some experiments showing how very effective they are in improving the execution time of the algorithm. A shortcoming is also presented that exists in all of the widely used implementations of the algorithm, namely, that the quality of the ordering provided by the implementations is surprisingly sensitive to the initial ordering. For example, changing the input ordering can lead to an increase (or decrease) of as much as a factor of three in the cost of the subsequent numerical factorization. This sensitivity is caused by the lack of an effective tie-breaking strategy, and the authors’ experiments illustrate the importance of developing such a strategy
Cerebral Ketone Body Oxidation Is Facilitated by a High Fat Diet Enriched with Advanced Glycation End Products in Normal and Diabetic Rats

Diabetes mellitus (DM) causes important modifications in the availability and use of different energy substrates in various organs and tissues. Similarly, dietary manipulations such as high fat diets also affect systemic energy metabolism. However, how the brain adapts to these situations remains unclear. To investigate these issues, control and alloxan-induced type I diabetic rats were fed either a standard or a high fat diet enriched with advanced glycation end products (AGEs) (HAGE diet). The HAGE diet increased their levels of blood ketone bodies, and this effect was exacerbated by DM induction. To determine the effects of diet and/or DM induction on key cerebral bioenergetic parameters, both ketone bodies (β-hydroxybutyric acid) and lactate oxidation were measured. In parallel, the expression of Monocarboxylate Transporter 1 (MCT1) and 2 (MCT2) isoforms in hippocampal and cortical slices from rats submitted to these diets was assessed. Ketone body oxidation increased while lactate oxidation decreased in hippocampal and cortical slices in both control and diabetic rats fed a HAGE diet. In parallel, the expression of both MCT1 and MCT2 increased only in the cerebral cortex in diabetic rats fed a HAGE diet. These results suggest a shift in the preferential cerebral energy substrate utilization in favor of ketone bodies in animals fed a HAGE diet, an effect that, in DM animals, is accompanied by the enhanced expression of the related transporters.
A hybrid 2D-3D SVM control algorithm for three phase voltage source inverters

This paper presents a hybrid 2D-3D space vector modulation algorithm to control the output voltage of three-phase four-wire voltage-sourced inverters in islanded power systems. The numerically efficient algorithm drives a balanced three-phase output voltage even when supplying an unbalanced load condition. In addition to the balanced voltage at the point of common coupling, the proposed algorithm offers synchronization controllability over the power angle of the inverter output, and hence provides control over power flow. Harmonic analysis of the inverter output voltage under the hybrid 2D-3D control algorithms yields a small THD of the line voltage. Various MATLAB/Simulink simulation studies are conducted to validate the effectiveness of the proposed algorithm.
Hybrid Classifier Using Neighborhood Rough Set and SVM for Credit Scoring

Credit scoring model development became a very important issue as the credit industry has many competitions. Therefore, most credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring models during the past few years. This study constructs a hybrid SVM-based credit scoring models to evaluate the applicant’s credit score from the applicant’s input features. (1) using neighborhood rough set to select input features, (2) using grid search to optimize RBF kernel parameters, (3) using the hybrid optimal input features and model parameters to solve the credit scoring problem with 10-fold cross validation, (4) comparing the accuracy of the proposed method with other methods. Experiment results demonstrate that the neighborhood rough set and SVM based hybrid classifier has the best credit scoring capability in comparing with other hybrid classifiers. It also outperforms linear discriminant analysis, logistic regression and neural networks.
Comprehensive School Reform

The Implementation Gap U nder pressure to improve s t ud e nt a c h i e ve me nt , schools throughout the nation have, over the past 20 years, turned to comprehensive school reform (CSR). CSR is based on the idea that a school should have a coherent educational strategy that addresses all aspects of its operations and aligns them in a well-functioning delivery system. Hundreds of CSR models have been developed. More than 8,000 schools have adopted a CSR model, and more than $2 billion in federal funds have been used to implement CSR. CSR is one of a limited set of interventions that the No Child Left Behind Act explicitly allows for schools that need to improve their performance. Nevertheless, CSR's eff ectiveness continues to be hotly debated. Does CSR work? Research results have been mixed. Some studies have measured a modest improvement in student achievement; others have found no eff ect. A team of RAND researchers has approached the question of CSR's eff ectiveness by fi rst focusing on an even more basic question: Has CSR been implemented? A shortcoming of nearly all previous studies is that they have assumed that schools have implemented their CSR model in its entirety. But what if most schools have implemented CSR only partially or not at all? In such cases, improved student achievement cannot be expected—or, if it does occur, cannot be attributed to CSR. Until we can measure the level of implementation, we cannot determine whether CSR works, or whether one CSR model works better than another. Measuring Implementation RAND developed a unique fi ve-step methodology, incorporating surveys and in-depth case studies, to quantitatively measure the level of CSR implementation. Th e study team then used the methodology to measure actual implementation of four diff erent CSR models in a large number of schools. For comparison, the study also included a sample of schools that did not use any CSR model. Four CSR models are included in this study: Accelerated Schools, Core Knowledge, Direct Instruction, and Success for All. Th ese models were chosen because they have been widely selected by schools throughout the nation, and because they diff er from each other signifi cantly. Each of the four CSR models is based on a diff erent philosophy and a diff erent set of prescribed practices. Each model, however, generally emphasizes and attempts to align six …
Finding Perspective Projection and Stereo Lo- Calization Mappings for a Multi-camera Sys- Tem. Technical Report 9803-04, Irst, March 5. Event Detection 4. Object Modeling with Bayesian Networks 3. Localization and Tracking the Advanced Visual Monitoring Project at Irst

8 frame by frame diierences plus background subtraction (Fig. 3); a neuro-fuzzy classiier provides the-nal estimate of the crowding level 9, 5]. Within CNR project PFT2, an intrusion detection system was developed 3], which is able to spot the presence of a moving object in the scene, estimating its dimension, speed and direction (Fig. 4). An object detection system for outdoor environments adopting the background updating algorithm in order to deal with illumination changes (e.g., evolution of daylight, day/night transitions, shadows) is shown in Fig. 5. A system able to localize and track a person moving inside a room, focusing the attention on the target by pointing a (third) mobile camera is shown in Fig. 6. Final Remarks Thank to fruitful collaborations established with nal users and implementors, a substantial portion of our activity is devoted to transferring the technologies developed within the project into advanced prototypes and products. Areas in which our technology transfer eeort is mostly concentrated comprise: anti-intrusion systems for domestic surveillance; monitoring of critical areas in railway environments (crossings; unattended stations); monitoring of dangerous areas in manufacturing lines; environment control (landslides). While not all equally mature, these activities are good indicators of the level of popularity that automated visual monitoring has achieved near the general public. As the demands grow deeper and wider, our project supports the idea that quite a variety of relevant problems can already be attacked and solved with today's knowledge; others await for further development of the visual technology, and will come within reach as novel, more sophisticated methods are developed and tested. 7 (a) (b) (c) Figure 5: (a) Gray-level input image as taken from a standard surveillance camera positioned in an outdoor environment (the access to the ITC-irst parking); (b) the background image currently estimated; (c) the absolute diierence image between the background and the input image. (a) (b) (c) Figure 6: (a-b) Gray-level input images as taken from a pair of cameras set in our lab. In each image, the white box indicates the area corresponding to the person (detected by comparing the input image with the reference background image); (c) map of the room controlled by the two cameras; the dotted line represents the trajectory of the person in the room. 6 (a) (b) (c) Figure 3: (a) Gray-level input image as taken from the camera in an underground station; (b) areas in which signiicant motion is detected …
X Prefer Oral Session Prefer Poster Session

Detachment and re-attachment of vertically aligned single-walled carbon nanotube films YOICHI MURAKAMI, SHI-GEO MARUYAMA, The University of Tokyo — A hot-water assisted detachment method of CVD-grown vertically aligned single-walled carbon nanotube (VA-SWNT) films from substrates has been developed. In particular, we found that the VA-SWNT films is efficiently peeled off by submersing the substrate into heated (≥ 60˚C) distilled water, and the detached film floats on the water surface. Furthermore, the detached film is readily re-attached to arbitrary surfaces. SEM observation confirms that the aligned morphology is perfectly preserved even after the re-attachment to other substrates. Mechanism of the proposed hot-water assisted film detachment method is investigated and suggested.
Realizing the hidden: interactive visualization and analysis of large volumes of structured data

An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, various communities recently have build large repositories of structured and interlinked data sets from different Web sources. However, up to date there is virtually no support in navigating, visualising or even analysing structured date sets of this size appropriately. This paper describes novel rendering techniques enabling a new level of visual analytics combined with interactive exploration principles. The underlying visualisation rationale is driven by the principle of providing detail information with respect to qualitative as well as quantitative aspects on user demand while offering an overview at any time. By means of our prototypical implementation and two real-world data sets we show how to answer several data specific tasks by interactive visual exploration.
Pattern Specification and Immune Response Transcriptional Signatures of Pericardial and Subcutaneous Adipose Tissue

Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality in the United States. Recent studies suggest that pericardial adipose tissue (PCAT) secretes inflammatory factors that contribute to the development of CVD. To better characterize the role of PCAT in the pathogenesis of disease, we performed a large-scale unbiased analysis of the transcriptional differences between PCAT and subcutaneous adipose tissue, analysing 53 microarrays across 19 individuals. As it was unknown whether PCAT-secreted factors are produced by adipocytes or cells in the supporting stromal fraction, we also sought to identify differentially expressed genes in isolated pericardial adipocytes vs. isolated subcutaneous adipocytes. Using microarray analysis, we found that: 1) pericardial adipose tissue and isolated pericardial adipocytes both overexpress atherosclerosis-promoting chemokines and 2) pericardial and subcutaneous fat depots, as well as isolated pericardial adipocytes and subcutaneous adipocytes, express specific patterns of homeobox genes. In contrast, a core set of lipid processing genes showed no significant overlap with differentially expressed transcripts. These depot-specific homeobox signatures and transcriptional profiles strongly suggest different functional roles for the pericardial and subcutaneous adipose depots. Further characterization of these inter-depot differences should be a research priority.
Higher identities for the ternary commutator

We use computer algebra to study polynomial identities for the trilinear operation [a, b, c] = abc − acb − bac + bca + cab − cba in the free associative algebra. It is known that [a, b, c] satisfies the alternating property in degree 3, no new identities in degree 5, a multilinear identity in degree 7 which alternates in 6 arguments, and no new identities in degree 9. We use the representation theory of the symmetric group to demonstrate the existence of new identities in degree 11. The only irreducible representations of dimension <400 with new identities correspond to partitions 25, 1 and 24, 13 and have dimensions 132 and 165. We construct an explicit new multilinear identity for partition 25, 1 and we demonstrate the existence of a new non-multilinear identity in which the underlying variables are permutations of a2b2c2d2e2f.
Overexpression of SOD1 in Transgenic Rats Protects Vulnerable Neurons Against Ischemic Damage After Global Cerebral Ischemia and Reperfusion

Transient global cerebral ischemia resulting from cardiac arrest is known to cause selective death in vulnerable neurons, including hippocampal CA1 pyramidal neurons. It is postulated that oxygen radicals, superoxide in particular, are involved in cell death processes. To test this hypothesis, we first used in situ imaging of superoxide radical distribution by hydroethidine oxidation in vulnerable neurons. We then generated SOD1 transgenic (Tg) rats with a five-fold increase in copper zinc superoxide dismutase activity. The Tg rats and their non-Tg wild-type littermates were subjected to 10 min of global ischemia followed by 1 and 3 d of reperfusion. Neuronal damage, as assessed by cresyl violet staining and DNA fragmentation analysis, was significantly reduced in the hippocampal CA1 region, cortex, striatum, and thalamus in SOD1 Tg rats at 3 d, as compared with the non-Tg littermates. There were no changes in the hippocampal CA3subregion and dentate gyrus, resistant areas in both SOD1 Tg and non-Tg rats. Quantitative analysis of the damaged CA1 subregion showed marked neuroprotection against transient global cerebral ischemia in SOD1 Tg rats. These results suggest that superoxide radicals play a role in the delayed ischemic death of hippocampal CA1 neurons. Our data also indicate that SOD1 Tg rats are useful tools for studying the role of oxygen radicals in the pathogenesis of neuronal death after transient global cerebral ischemia.
Influence of Upconversion Processes in the Optically-Induced Inhomogeneous Thermal Behavior of Erbium-Doped Lanthanum Oxysulfide Powders

The efficient infrared-to-visible upconversion emission present in Er-doped lanthanum oxysulfide crystal powders is used as a fine thermal sensor to determine the influence of upconversion processes on the laser-induced thermal load produced by the pump laser and to assess the potentialities of this material in order to obtain anti-Stokes laser-induced cooling. The analysis of the upconversion emission and excitation spectra as well as the decay curves indicates that energy transfer upconversion is the main mechanism responsible for the green (4S3/2) and red (4F9/2) upconversion luminescence. The dependence on temperature of the intensity ratio of upconversion emission from thermally-coupled 2H11/2 and 4S3/2 levels of Er3+ in the 240–300 K temperature range has been used to estimate a relative sensitivity of 1.09 × 10−2 K−1. Thermal measurements performed on the powder samples by using a thermal infrared camera exhibit a very inhomogeneous heat distribution at the sample surface due to the random distribution of the pumping energy inside the sample as well as to the random properties of the thermal field. The analysis of both spectroscopic and thermal measurements show that after a transient heating induced by the background absorption, cooling of discrete regions by means of anti-Stokes processes can be observed.
Measuring the Value of Better Schools

Several researchers have attempted to measure the value of educational quality by examining its impact on wages earned by students later in life. Adopting an alternative approach, the author of this study calculates what people are willing to pay to reside in a community with superior schools. Controlling for neighborhood characteristics and school financial inputs, she finds that a 5 percent increase in the average test scores of an elementary school leads to a 2.1 percent increase in the price of houses in that school's attendance district.
Examining elements of children's place attachment

ABSTRACT The quality of children's attachments to people has claimed considerable scrutiny in research and practice. Children's attachment to place, however, has received less attention despite its relevance to childhood experiences. This paper explores childhood place attachment and applies Chawla's theory as a guiding framework. This theory delineates places by three forms of fulfillment: security and belonging, social affiliation, and creative expression and exploration. Research from within schools and hospitals cites evidence of children's varied interpretations and their responses to adult domination that drive creativity. Acknowledging the significance of place attachments can inform research, policy and professional practice.
Chemical Entities of Biological Interest: an update

Chemical Entities of Biological Interest (ChEBI) is a freely available dictionary of molecular entities focused on ‘small’ chemical compounds. The molecular entities in question are either natural products or synthetic products used to intervene in the processes of living organisms. Genome-encoded macromolecules (nucleic acids, proteins and peptides derived from proteins by cleavage) are not as a rule included in ChEBI. In addition to molecular entities, ChEBI contains groups (parts of molecular entities) and classes of entities. ChEBI includes an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. ChEBI is available online at http://www.ebi. ac.uk/chebi/. This article reports on new features in ChEBI since the last NAR report in 2007, including substructure and similarity searching, a submission tool for authoring of ChEBI datasets by the community and a 30-fold increase in the number of chemical structures stored in ChEBI.
High-Throughput Turbo Decoder With Parallel Architecture for LTE Wireless Communication Standards

This work focuses on the VLSI design aspect of high- speed maximum a posteriori (MAP) probability decoders which are intrinsic building-blocks of parallel turbo decoders. For the logarithmic-Bahl-Cocke-Jelinek-Raviv (LBCJR) algorithm used in MAP decoders, we have presented an ungrouped backward recursion technique for the computation of backward state metrics. Unlike the conventional decoder architectures, MAP decoder based on this technique can be extensively pipelined and retimed to achieve higher clock frequency. Additionally, the state metric normalization technique employed in the design of an add-compare-select-unit (ACSU) has reduced critical path delay of our decoder architecture. We have designed and implemented turbo decoders with 8 and 64 parallel MAP decoders in 90 nm CMOS technology. VLSI implementation of an 8 × parallel turbo-decoder has achieved a maximum throughput of 439 Mbps with 0.11 nJ/bit/iteration energy-efficiency. Similarly, 64 × parallel turbo-decoder has achieved a maximum throughput of 3.3 Gbps with an energy-efficiency of 0.079 nJ/bit/iteration. These high-throughput decoders meet peak data-rates of 3GPP-LTE and LTE-Advanced standards.
A role for polyamines in retinal ganglion cell excitotoxic death

Neuronal death due to excessive activation of N‐methyl‐d‐aspartate (NMDA) receptors is a hallmark of neurodegenerative diseases. The polyamines: putrescine, spermine, and spermidine, bind to specific sites on the NMDA receptor and promote its activation, but their role in NMDA‐induced neuronal death is ill defined. In this study, we characterized the role of polyamines in excitotoxic death of retinal ganglion cells (RGCs), a population of central neurons susceptible to NMDA‐induced damage. Our data show that endogenous arginase I, the rate limiting enzyme for polyamine biosynthesis, is expressed in the intact, adult retina. Intraocular injection of NMDA visibly increased arginase I expression in Müller cells, the predominant glial cell‐type in the mammalian retina. Inhibition of polyamine synthesis using di‐fluoro‐methyl‐ornithine (DFMO) was markedly neuroprotective, while injection of exogenous polyamines in conjunction with NMDA exacerbated RGC death. Blockade of the polyamine binding sites on NMDA receptors using the non‐competitive antagonist ifenprodil was neuroprotective, suggesting that polyamines contribute to excitotoxic death, at least partly, by binding to NMDA receptors. Importantly, we also demonstrate that NMDA leads to activation of both the Erk1/2 and PI3 K/Akt pathways, but only the PI3 K/Akt kinase was required for di‐fluoro‐methyl‐ornithine‐induced RGC survival. In summary, our study reveals that polyamines modulate neuronal death in the retina via different mechanisms that potentiate NMDA‐triggered excitotoxicity.