Miracle-dz/UniFAR-FTUs huggingface dataset:
A new method for glucose detection using the one dimensional defective photonic crystals

In order to enhance the sensing and measuring process of glucose, a sensitive tool should be developed to stimulate glucose properties. In the present paper, we propose theoretically the one dimensional photonic crystals that contain a defect layer to act as a sensor for glucose detection. The theoretical modeling is essentially based on the basics of the characteristic matrix method. Our proposed idea is mainly based on the insertion of the glucose solution inside the defect layer. A resonant peak with a sharp intensity is formed within the photonic band gap which is directly related to the glucose properties. Glucose is an important biomaterial can be affected by the surrounding environment. Therefore, we have studied the effects of many physical parameters on the position of the transmitted resonant peak. We have deduced that the temperature, glucose concentration and the angle of incidence have pronounced effect on the sensitivity of the transmission spectrum of the photonic crystal structure. These results may be useful in the design of a simple and low cost glucose sensor compared with the present sensors.
Weight optimization of a cooling system composed of fan and extruded fin heat sink

This Paper details the weight optimization of forced convection cooling systems, composed of fan and extruded fin heat sink, required for a dc-dc converter of an airborne wind turbine (AWT) system. The presented investigations detail the optimization of the heat sink's fins with respect to minimum weight and the selection of a suitable fan for minimum overall system weight. A new analytical cooling system model is introduced, the calculated results are compared to the results determined with a preexisting analytical model and Finite Element Model (FEM) simulations. The comparison to experimental results demonstrate the accuracy improvements achieved with the proposed methods. Compared to commercially available products a weight reduction of 52% is achieved with the proposed optimization procedure for the required heat sink system with Rth, S-a = 1K/W.
Victimization and PTSD in Ugandan Youth

Background: Little is known about post-traumatic stress (PTSD) prevalence rates in community samples. This is especially true for the African continent where child-soldiers, HIV/AIDS affected and orphans have been the target for PTSD prevalence studies. Objectives: The aim of this study is to investigate the indirect and direct exposure to 20 potentially traumatic events and its relation with PTSD in a Ugandan sample of senior 3rd year students and to perform cross-cultural comparisons with previous studies examining this age group. Socio-economic status, coping styles, negative affect, and somatization are further examined. Method: A convenience sample of 408 senior secondary school students, from eight schools, across three major towns, Kampala, Mbarara, and Jinja, were selected. The Harvard Trauma Questionnaire (HTQ) was used to establish PTSD prevalence rates, The Coping Style Questionnaire (CSQ) was used to assess coping styles, and the Trauma Symptom Checklist (TSC) were used to measure negative affect and somatization. Results: The subjects had been exposed to a mean of 6.6 direct events and a mean of 7.2 indirect events. The estimated prevalence rate of PTSD was 37.7% and a further 28.2% reached a subclinical level, missing one symptom to have the full diagnosis. Variables related to a PTSD diagnosis were female gender, number of directly experienced events, emotional coping, negative affect, and somatization. Conclusions: Ugandan youth have been exposed to significantly more potentially traumatic events and negative life events than European youth, and subsequently PTSD prevalence rates are higher. In addition, fewer gender differences are found in the Ugandan sample compared to the European samples.
High bandwidth application on 2.5D IC silicon interposer

A potential technology by silicon interposer enables high bandwidth and low power application processing devices of the future, because the demand of smart mobile products are driving for higher logic-to-memory bandwidth (BW) over 30 GB/s with lower power consumption and ultra-memory capacity. This paper presents a 2.5D-IC structure with silicon interposer to demonstrate electrical performances including signal integrity (SI) and power integrity (PI) by using WideIO memory interface. Of course, the accuracy of TSV has demonstrated by measurement as well.
Enhancing the Performance of Conjugate Gradient Solvers on Graphic Processing Units

A study of the fundamental obstacles to accelerate the preconditioned conjugate gradient (PCG) method on modern graphic processing units (GPUs) is presented and several techniques are proposed to enhance its performance over previous work independent of the GPU generation and the matrix sparsity pattern. The proposed enhancements increase the performance of PCG up to 23 times compared to vector optimized PCG results on modern CPUs and up to 3.4 times compared to previous GPU results.
The Semantic Gap Between Software and the Memory System

The virtual memory system defined in the 1960s remains the primary interface between software and the physical memory system. Over time, operating systems and memory controllers evolved to become more intelligent about goals such as memory allocation, prefetching, security, and fairness. However, the limited knowledge that each side has of the other creates a significant semantic gap that may be artificially limiting the performance of todayâĂŹs memory systems. In this paper, we discuss the kinds of optimizations that occur on each side of the memory system and what types of knowledge could be shared between hardware and software to improve system performance.
Linear and Nonlinear Thomson Scattering for Advanced X-ray Sources in PLASMONX

Thomson scattering of laser pulses onto ultrarelativistic e-bunches is becoming an advanced source of tunable, quasi-monochromatic, and ultrashort X/gamma radiation. Sources aimed at reaching a high flux of scattered photons need to be driven by high-brightness e-beams, whereas extremely short (femtosecond scale or less) sources need to make femtosecond-long e-beams that collide with the laser pulses. In this paper, we explore the performance of the PLASMONX TS source in several operating regimes, including preliminary results on a source based on e-bunches produced by laser wakefield acceleration and controlled injection via density down ramp.
A DNA-dependent stress response involving DNA-PK occurs in hypoxic cells and contributes to cellular adaptation to hypoxia

DNA-dependent protein kinase (DNA-PK) is involved in DNA double-strand break (DSB) signalling and repair. We report that DNA-PK is activated by mild hypoxia conditions (0.1–1% O2) as shown by (1) its autophosphorylation on Ser2056, and (2) its mobilisation from a soluble nucleoplasmic compartment to a less extractable nuclear fraction. The recruitment of DNA-PK was not followed by activation and recruitment of the XRCC4–DNA-ligase-IV complex, suggesting that DSBs are not responsible for activation of DNA-PK. To unravel the mechanism of DNA-PK activation, we show that exposure of cells to trichostatin A, a histone deacetylase inhibitor, leads to DNA-PK autophosphorylation and relocalisation to DNA. Histone acetylation (mainly H3K14) is increased in hypoxic cells and treatment with anacardic acid, an inhibitor of histone acetyl transferase, prevented both histone modifications and DNA-PK activation in hypoxic conditions. Importantly, in using either silenced DNA-PK cells or cells exposed to a specific DNA-PK inhibitor (NU7026), we demonstrated that hypoxic DNA-PK activation positively regulates the key transcription factor HIF-1 and one subsequent target gene, GLUT1. Our results show that hypoxia initiates chromatin modification and consequently DNA-PK activation, which positively regulate cellular oxygen-sensing and oxygen-signalling pathways.
Movement and Dance in the Inclusive Classroom

Abstract BeneÞts to using creative movement and dance as teaching tools in the classroom include in-creased student understanding of content, improved classroom behavior , and the development of new forms of assessment. Integration of these activities within the instructional day will meet the needs of a variety of learners, especially kinesthetic learners, in a more meaningful manner . Based on research Þndings, Rudolf LabanO s work on movement analysis, and anecdotal evi -dence; this article addresses the advantages for all students including those with learning disabili -ties, emotional disorders, attention deÞcit disorder , cognitive disabilities, and gifts and talents. Rudolf LabanO s work in movement analysis provides a clear framework from which teachers can begin to introduce dance activities to their inclusive classrooms. Keywords inclusion, dance, kinesthetic, comprehension, behavior , assessmentSUGGESTED CIT A TION:Skoning, S. N. (2008). Movement in dance in the inclusive classroom. TEACHING Exceptional Childr en Plus, 4(6) Article 2. Retrieved [date] from http://escholarship.bc. edu/education/tecplus/vol4/iss6/art2
The Role of Trust and Expertise in the Adoption of Electronic Commerce Intermediaries

This research investigates how the amount of trust a consumer has in an electronic commerce intermediary and the amount of expertise that consumer needs to acquire in order to be able to use the intermediary affect the intention to adopt the electronic commerce intermediary. The paper analyzes both the direct effects of trust and expertise on adoption intention, as well as the indirect effects through two mediating variables widely used in adoption studies, usefulness and ease of use. These effects are hypothesized to be further moderated by the level of transaction complexity. The results partially support both the direct effects and the indirect effects model, pointing out that trust and expertise are, as hypothesized by academicians and practitioners alike, important in establishing relationships with customers in electronic commerce. In addition, the results show that trust and expertise become more important in determining the adoption intention as transaction complexity increases.
Lensless Compressive Sensing Imaging

In this paper, we propose a lensless compressive sensing imaging architecture. The architecture consists of two components, an aperture assembly and a sensor. No lens is used. The aperture assembly consists of a two dimensional array of aperture elements. The transmittance of each aperture element is independently controllable. The sensor is a single detection element, such as a single photo-conductive cell. Each aperture element together with the sensor defines a cone of a bundle of rays, and the cones of the aperture assembly define the pixels of an image. Each pixel value of an image is the integration of the bundle of rays in a cone. The sensor is used for taking compressive measurements. Each measurement is the integration of rays in the cones modulated by the transmittance of the aperture elements. A compressive sensing matrix is implemented by adjusting the transmittance of the individual aperture elements according to the values of the sensing matrix. The proposed architecture is simple and reliable because no lens is used. Furthermore, the sharpness of an image from our device is only limited by the resolution of the aperture assembly, but not affected by blurring due to defocus. The architecture can be used for capturing images of visible lights, and other spectra such as infrared, or millimeter waves. Such devices may be used in surveillance applications for detecting anomalies or extracting features such as speed of moving objects. Multiple sensors may be used with a single aperture assembly to capture multi-view images simultaneously. A prototype was built by using a LCD panel and a photoelectric sensor for capturing images of visible spectrum.
International Journal of Nephrology and Renovascular Disease Dovepress Infectious Anastomotic Pseudoaneurysm Complicating Renal Allograft: Case Report and Review of Literature

you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Abstract: Infectious anastomotic pseudoaneurysm complicating renal transplant is rare, but probably under-reported with <30 cases worldwide. We report a 45-year-old man with hyperten-sion, diabetes mellitus and end stage renal failure, who had a renal transplant anastomosed to the right external iliac artery and vein. Postoperatively, he made a slow recovery with malaise and persistent vague right iliac fossa discomfort. Ultrasound scan 1 month postoperatively showed perinephric collection, and fluid culture grew Enterococcus faecium and Pseudomonas aeruginosa. He was started on vancomycin, daptomycin and colistin. MAG-3 scan also showed suboptimal function in the renal allograft. His symptoms persisted with fever, and blood culture yielded P. aeruginosa. Repeated ultrasound scan, and subsequent computed tomography scan a few weeks later, showed perinephric collection and a large, 3.8×3.5 cm pseudoaneurysm pos-teromedial to the graft kidney. He underwent emergency graft excision, together with resection of the pseudoaneurysm with in situ reversed great saphenous vein interposition graft, and made a good recovery on hemodialysis. The aneurysm wall grew P. aeruginosa, and he was put on imipenem and cilastatin (tienam), colistin, ciprofloxacin and daptomycin. To our knowledge, this is one of very few cases in the world's literature in which a P. aeruginosa infectious anastomotic pseudoaneurysm developed after a renal allograft.
Examining the Association of Olmesartan and Other Angiotensin Receptor Blockers With Overall and Cause-Specific Mortality

Concerns about an increased cardiovascular risk with the angiotensin receptor blocker, olmesartan, prompted the current study to examine associations between olmesartan and other angiotensin receptor blockers with overall and cause-specific mortalities. We collected patients who started to use losartan, valsartan, irbesartan, candesartan, telmisartan, and olmesartan between January 1, 2004, and December 31, 2009, from Taiwan’s National Health Insurance claims database. Prescribed drug types, dosage, and other clinical information were collected. Overall mortality and cause-specific mortality were ascertained through linkages with Taiwan’s National Death Registry. Two follow-up analyses, labeled intention-to-treat and as-treated, were conducted. A Cox proportional hazard regression model was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) using losartan as the reference group. A total of 690 463 subjects were included, with a mean follow-up ranging from a low of 2.8 years for olmesartan to a high of 4.1 years for irbesartan. Subjects who began with valsartan had a modest but significantly increased risk of overall mortality (HR, 1.04; 95% CI, 1.02–1.06) compared with losartan. Irbesartan (HR, 0.96; 95% CI, 0.94–0.99), candesartan (HR, 0.95; 95% CI, 0.92–0.99), telmisartan (HR, 0.93; 95% CI, 0.90–0.96), and olmesartan (HR, 0.93; 95% CI, 0.88–0.97) were associated with a slightly lower overall mortality risk than losartan. The analysis indicates that the differences in mortality risk among individual angiotensin receptor blockers were only marginal and thus less likely to be clinically important. Although uncontrolled confounding might still exist, olmesartan does not seem to increase cardiovascular risk compared with losartan.
Hilbert Basis Theorem 1

(4) For all setsi, j and for all bagsb1, b2 of j and for all bagsb1, b ′ 2 of i such thatb ′ 1 = b1 i andb2 = b2 i andb1 | b2 holdsb1 | b2. (5) Let i, j be sets, b1, b2 be bags ofj, andb1, b ′ 2 be bags ofi. If b ′ 1 = b1 i andb ′ 2 = b2 i, then (b1− b2) i = b1− b2 and(b1 +b2) i = b1 +b2. Let n, k be natural numbers and let b be a bag ofn. The functorb extended byk yields an element of Bags (n+1) and is defined as follows: (Def. 1) (b extended byk) n = b and(b extended byk)(n) = k. The following two propositions are true:
DESIGN OF FAST ALGORITHMS FOR PIXEL PURITY INDEX FOR ENDMEMBER EXTRACTION IN HYPERSPECTRAL IMAGERY

This paper presents new fast algorithms to improve the widely used endmember extraction algorithm, called pixel purity index (PPI) and also modify a revised version of PPI, called block of skewers (BOS) method. Since both the PPI and the BOS method suffer from same drawbacks in implementation, our proposed algorithms are designed to mitigate these dilemmas by introducing a newly developed concept, called virtual dimensionality (VD) and a process that can automatically determine a set of endmembers without appealing for parameters used in the PPI and BOS method. As a result, two modified PPI and BOSPPI algorithms are developed. Unlike the PPI and BOS method, the two new algorithms are iterative and provide stopping rules to automatically extract endmembers without manually selecting endmembers. The experimental study shows that the MPPI performs better than the PPI not only in computational complexity, but also in stability and performance, and the MBOSPPI could perform better than the BOS method if the blocks of skewers are properly designed.
Building a Semantic Graph based on Sequential Language Model for Topic-Sensitive Content Extraction

Graph-based models have been explored to extract information of interest from a text collection. They can potentially incorporate related information to rank important contents. In this paper, we design a semantic graph model for topic-sensitive contents extraction. The topic-sensitive contents refer to segments of a document with respect to a certain aspect of a topic. For example, in online product reviews, customers tend to know the sentiment aspects associated with various product features, while designers intend to understand the reasons behind, i.e. why customers like or dislike a product, and how further improvement can be made. The contents biased to a certain topic aspect can help users to locate the information of interest and gain more insights of a topic. In order to extract the topic-sensitive contents, our semantic graph first learns from the training data and models the initial scores of sentence nodes based on word weights. The word weightings are estimated in terms of how strongly a word is associated with a specific aspect through a sequential language modeling based on hidden Markov model. The link weights are represented using the estimated word weights which reveal how closely the sentences are linked with each other with respect to a certain aspect of a topic. Based on the semantic graph formed, the ranking process aims to prioritize sentences for topic-sensitive content extraction. In the experimental study, we test and validate our approach on extracting motivational reasons from patents for design analysis. The results demonstrate the merits of the proposed approach.
Study on thermoelastic dissipation in bulk mode resonators with etch holes

This paper aims to investigate the primary cause for marked drops in quality factor (by over 98%) of a bulk mode resonator as a result of introducing etch holes into the structure. We show that thermoelastic damping (TED) appears to be the dominant cause of energy dissipation. The resonator is fabricated in single-crystal silicon (SCS). According to finite-element (FE) analysis, the uniform isochoric property of the Lamé mode is no longer preserved when etch holes are introduced. This results in marked drop in quality factor (Q) by 98.5% for the Lamé mode and 75.7% for the extensional from measurements. FE analysis based on coupled thermoelastic equations is used to compute the the thermal gradients that give rise to TED when etch holes are added to the resonator.
Bayesian parentage analysis with systematic accountability of genotyping error, missing data and false matching

MOTIVATION The goal of any parentage analysis is to identify as many parent-offspring relationships as possible, while minimizing incorrect assignments. Existing methods can achieve these ends, but they require additional information in the form of demographic data, thousands of markers and/or estimates of genotyping error rates. For many non-model systems, it is simply not practical, cost-effective or logistically feasible to obtain this information. Here, we develop a Bayesian parentage method that only requires the sampled genotypes to account for genotyping error, missing data and false matches. RESULTS Extensive testing with microsatellite and SNP datasets reveals that our Bayesian parentage method reliably controls for the number of false assignments, irrespective of the genotyping error rate. When the number of loci is limiting, our approach maximizes the number of correct assignments by accounting for the frequencies of shared alleles. Comparisons with exclusion and likelihood-based methods on an empirical salmon dataset revealed that our Bayesian method had the highest ratio of correct to incorrect assignments.
Interventions for improving metabolic risk in overweight Latino youth

This review highlights various components of interventions that reduced obesity and type 2 diabetes risk factors among overweight Latino youth. A total of 114 overweight Latino adolescents completed one of four randomized controlled trials: 1) strength training (ST; boys only); 2) modified carbohydrate nutrition program (N); 3) combination of N+ST; or 4) N + Combination of Aerobic and ST (N+CAST; girls only). Measures included: strength by 1-repetition max, dietary intake by 3-d records, body composition by DEXA/MRI, glucose/insulin indices by oral and IV glucose tolerance tests. ST improved insulin sensitivity by 45% in Latino boys, and N, N+ST, and N+CAST improved glucose control in Latino boys and girls. The CAST approach reduced all adiposity measures by ∼3% in Latina girls. Participants who decreased added sugar, increased dietary fiber, and had increased parental attendance, regardless of intervention group, improved insulin action and reduced visceral adipose tissue. In conclusion, ST, CAST, and a modified carbohydrate nutrition program with separate parental classes were all successful components of the interventions that decreased obesity and related metabolic diseases.
Distribution and Policy in the New Growth Literature a

This paper examines how economic activity and the distribution of income are related in endogenous growth models. I examine the different implications of models where inequality is due to differences in capital and labour endowments and of those with different types of labour. I argue that the new growth literature has done more than simply allow us to formalize old ideas: it emphasizes that growth and distribution are jointly determined, and thus allows us to explore the distributional implications of growth-enhancing policies. In contrast to the neoclassical framework, the new literature implies that there in not necessarily a tradeoff between redistribution and growth.
A mouse model of chronic prostatic inflammation using a human prostate cancer‐derived isolate of Propionibacterium acnes

Prostatic inflammation has been linked to a number of prostatic diseases such as benign prostatic hyperplasia (BPH), prostatitis syndromes, and prostate cancer. Major unanswered questions include what pathogenic mechanisms, such as bacterial infections, may drive the accumulation of inflammatory infiltrates in the human prostate, and how inflammation might contribute to disease. To study this potential link in an in vivo system, we developed a mouse model of long‐term bacteria‐induced chronic inflammation of the prostate using a human prostatectomy‐derived strain of Propionibacterium acnes.