Miracle-dz/UniFAR-FTUs huggingface dataset:
A compact dual-band bandpass SIW filter using uniplanar combination of the CRLH and resonant type metamaterials

ABSTRACT A new manner of obtaining dual bandpass behaviour in substrate-integrated waveguide (SIW) using a uniplanar combination of composite right/left-handed (CRLH) transmission line and complimentary double split single ring resonator (CDSSRR) is presented and analysed in this paper. The proposed dual band structure has the advantage of miniaturisation due to the presence of both the passbands below the characteristic cutoff frequency of the SIW.A high passband transmission zero overcomes the poor frequency selectivity, and the two resonant frequencies are independently controllable. There are very low insertion losses in both passbands as compared to DGS structures and fabrication simplicity is ensured due to an intact ground. The potential for application of the proposed structure to the design of completely planar miniaturised dual band bandpass metamaterial filters has been verified by fabricating a two-stage filter based on the proposed combination. The measured results are in good agreement with the simulation results.
Detection and identification of fungal pathogens in blood by using molecular probes

A PCR assay was developed for the detection and identification of Candida and Aspergillus species. The design of the oligonucleotide primer pair as well as the species-specific probes used for species identification was derived from a comparison of the sequences of the 18S rRNA genes of various fungal pathogens. The primers targeted a consensus sequence for a variety of fungal pathogens. The assay was tested for sensitivity and specificity with 134 fungal and 85 nonfungal isolates. To assess clinical applicability, 601 blood samples from four defined groups were tested: group A (n = 35), controls; groups B to D (n = 86), patients with febrile neutropenia, without fungal colonization (group B; n = 29) and with fungal colonization (group C; n = 36); and patients with documented invasive fungal infection (IFI) (group D; n = 21). The assay detected and, by species-specific hybridization, identified most of the clinically relevant Candida and Aspergillus species at 1 CFU/ml of blood. Amplification was 100% sensitive for all molds and yeasts tested, with Histoplasma capsulatum being the only non-Aspergillus species hybridizing with the Aspergillus spp. probe. None of 35 group A patients and only 3 of 65 group B and C patients were PCR positive. The sensitivity of the assay for specimens from patients with IFI (21 patients in group D) was 100% if two specimens were tested. For specificity, 3 of 189 specimens from patients at risk but with negative cultures were positive by the assay, for a specificity of 98%. PCR preceded radiological signs by a median of 4 days (range, 4 to 7 days) for 12 of 17 patients with hepatosplenic candidiasis or pulmonary aspergillosis. For the 10 patients with IFI responding to antifungal therapy, PCR assays became persistently negative after 14 days of treatment, in contrast to the case for 11 patients, who remained PCR positive while not responding to antifungal therapy. Thus, the described PCR assay allows for the highly sensitive and specific detection and identification of fungal pathogens in vitro and in vivo. Preliminary data from the screening of a selected group of patients revealed some value in the early diagnosis and monitoring of antifungal therapy.
Fabrication of Metal–Organic Framework Thin Films Using Programmed Layer‐by‐Layer Assembly Techniques

Metal–organic frameworks (MOFs) are a rather new class of crystalline, nanoporous solids that are self‐assembled from inorganic, metal or metal‐oxo nodes and organic linkers. Powder MOFs are originally developed for gas storage and catalyst applications, but more recently, more advanced applications have used well‐defined MOF thin films in electronic, photonic, and sensing devices. MOF thin films for targeted applications can be fabricated on appropriately functionalized substrates using a programmed layer‐by‐layer (LbL) assembly technique, which yields oriented, highly crystalline MOF thin films (surface‐mounted MOFs, SURMOFs). The LbL assembly technique as well as the huge potential of SURMOFs is presented herein. Emerging SURMOF properties related to their heteroepitaxy, postsynthetic modification/crosslinking, lithography, and photoswitching are highlighted.
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid

Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and opinions. Recently topic models have been used to identify meaningful review aspects, but existing topic models do not identify aspect-specific opinion words. In this paper, we propose a MaxEnt-LDA hybrid model to jointly discover both aspects and aspect-specific opinion words. We show that with a relatively small amount of training data, our model can effectively identify aspect and opinion words simultaneously. We also demonstrate the domain adaptability of our model.
5 Conclusions and Future Work

26 are i) highly concurrent and asynchronous, ii) portable across both shared and distributed memory architectures, and iii) represented as expressions over component programs. The composition also supports precise and direct specications of interactions. We are investigating a number of issues that deal with the theoretical, language design, and implementation aspects of our model. Active work is proceeding on the integration of our concurrent programming model within the object{oriented framework. The issues that we consider here deal with the representation of concurrent and interacting objects, method compositions, inheritance of methods and interactions expressions, and association between events and method activations. Further, we aim to extend an existing object{oriented programming language to dene a concurrent programming language. We also plan to dene execution semantics for this language. In addition, we are looking at extending the set of interaction operators and their associated semantics. One of the interesting operators is conditional ordering operator. We are examining its semantics and its relationship with the _ and exists operators. 25 employ ad-hoc mechanisms such as future [YBS87] for specifying external interaction between the two computations. There is no general mechanism for specifying arbitrary external interactions. 3. Many programming models such as Monitors [Hoa74] and ADA [Geh84] do not support internal concurrency. 4. Models such as Mediator [GC86] do allow concurrent executions within a module. However, they either support only non-interacting concurrent executions or use unstructured primitives to specify interactions. Such models inherit the problems associated with the unstructured primitives. There are two elements in a program denition in our model: the rst species its computations (what the program does when it is executed), and the second identies its interaction points (places where the program may interact with its environment). Interaction points are abstractions of a subset of execution points of the program. A constrained concurrent composition combines a set of programs by specifying both ordering relationships among their interaction points as well as concurrency among all other execution points. In our model, \events" form the basis for identifying interaction points as well as for specifying interaction among programs. The latter is specied by constructing an algebraic expression from a set of primitive interactions and interaction operators. Our programming model isolates a program's specication from its interaction behaviors. The separation between the interaction and program specications allows one to reuse the program denition in many concurrent compositions. Also, the notion of interacting block separates how …
Resource Allocation in Computational Grids - A Market Engineering Approach

The Computational Grid is a promising technology for providing access to distributed high-end computational capabilities. However, deciding which jobs are allocated to which resources is one the key problems in Computational Grids. In recent times, researchers have increasingly suggested to employ market mechanisms for scheduling and allocating Grid resources. This paper outlines the design of a market for allocating and scheduling resources in Computational Grids. The design of the market is based on the Market Engineering process, which provides methods and design principles for the development of market institutions. First, the characteristics and the requirements of the market participants as well as the Grid resources are elicited. Furthermore, a combinatorial clearing formulation is introduced as a primal mixed integer problem, which supports bids on bundles, quality, and time attributes. Followed by a performance simulation, the runtime of the clearing model is simulated.
Dynamic Light Regulation of Translation Status in Arabidopsis thaliana

Light, a dynamic environmental parameter, is an essential regulator of plant growth and development. Light-regulated transcriptional networks are well documented, whereas light-regulated post-transcriptional regulation has received limited attention. In this study, dynamics in translation of cytosolic mRNAs were evaluated at the genome-level in Arabidopsis thaliana seedlings grown under a typical light/dark diurnal regime, shifted to darkness at midday, and then re-illuminated. One-hour of unanticipated darkness reduced levels of polysomes by 17% in a manner consistent with inhibition of initiation of translation. This down-regulation of translation was reversed within 10 min of re-illumination. Quantitative comparison of the total cellular population of transcripts (the transcriptome) to those associated with one or more 80S ribosome (the translatome) identified over 1600 mRNAs that were differentially translated in response to light availability. Unanticipated darkness limited both transcription and translation of mRNAs encoding components of the photosynthetic machinery. Many mRNAs encoding proteins associated with the energy demanding process of protein synthesis were stable but sequestered in the dark, in a rapidly reversible manner. A meta-analysis determined these same transcripts were similarly and coordinately regulated in response to changes in oxygen availability. The dark and hypoxia translationally repressed mRNAs lack highly supported candidate RNA-regulatory elements but are characterized by G + C-rich 5′-untranslated regions. We propose that modulation of translation of a subset of cellular mRNAs functions as an energy conservation mechanism.
Phase I: Evaluation of Low Flexural Strength for Northern Nevada Concrete Paving Mixtures

viii EXECUTIVE SUMMARY . ix Summary of Research Need. ix Review Findings . ix Phase II Laboratory Experimental Plan . ix INTRODUCTION . 1 CHAPTER 1: 1.1 Project Background . 1 1.2 Overall Program and Phase I Objectives . 2 1.3 Phase I Research Methodology . 3 1.3. 1 Task I-1: State-of-the-Practice Synthesis . 3 1.3. 2 Task I-2: Develop Draft Phase II Research Plan . 3 1.3. 3 Task I-3: Phase I Final Report and Phase II Research Plan . 4 1.4 Anticipated Benefits. 4 REVIEW OF LOW CONCRETE STRENGTH MECHANISMS AND CHAPTER 2: CHARACTERIZATION METHODS . 6 2.
Who else could participate in my lesson plans?

This paper introduces the iTEC SDE (Scenario Development Environment), a recommendation system to assist teachers in the creation of lesson plans. A key functionality of the SDE is the recommendation of people. Basically, taking into account new pedagogical approaches, this system manages information about potential lesson plan contributors and provides recommendations on the best available people to participate in specific learning activities. The SDE has been developed as a multi-criteria recommender focused on supporting learning activities in particular technological and educational contexts. In this way, it manages information about the devices and applications available in the classroom and the features of the students, such as educational level, language, age, location, etc. The final goal of this system is to support teachers creating lesson plans in which they can develop new pedagogical approaches involving new technologies and external resources, such as people from outside the school. Eventually, this will contribute to engage students and improve learning.
Fixed-time consensus for a class of nonlinear uncertain multi-agent systems

In this paper we propose a novel local interaction rule providing consensus in a network of nonlinear uncertain first-order agents communicating through a connected, and possibly switching, graph topology. Particularly, consensus is achieved after a finite settling time which, additionally, admits an upper bound independent on the initial conditions of the agent states. This property, called fixed-time convergence, is achieved thanks to suitable polynomial terms in the control laws. Lyapunov analysis is presented to support the convergence features of the proposed local interaction rule, and simulation results are discussed for validating the underlying performance.
clCaffe: OpenCL Accelerated Caffe for Convolutional Neural Networks

Recent advances in deep convolutional neural networks enable researchers and developers to apply machine learning to a much broader number of applications. With the proliferation of deep learning applications, widely used deep learning frameworks, such as Caffe, Theano and Torch, have been significantly improved with the support of powerful GPUs and GPU-accelerated libraries. However, lack of frameworks and libraries built on OpenCL could hinder exploration of more diverse compute devices (CPUs, GPUs, DSPs and FPGAs) in future deep learning domains. In this work, we present OpenCL acceleration of a well-known deep learning framework, Caffe, while focusing on the convolution layer which has been optimized with three different approaches, GEMM, spatial domain, and frequency domain. Our work, clCaffe, greatly enhances the ability to leverage deep learning use cases on all types of OpenCL devices, particularly on small form factor devices in which discrete GPUs are rare and integrated GPUs are much more common. Our benchmark shows 2.5× speedup on the Intel integrated-GPU, compared to CPU-only AlexNet on ImageNet dataset. As such, our work provides the deep learning community with the opportunity to embrace a broad range of devices through OpenCL.
A Smart Polyglot Solution for Big Data in Healthcare

Healthcare information systems (HISs) are multifarious in nature. They are thus best implemented using multiple data stores because one database won't fulfill all the storage requirements of such complex applications. The amalgamation of different databases within an application is known as polyglot persistence. To achieve a polyglot-persistent solution, different database types must available. As late as 2005, relational databases ruled as the de facto databases, but their reign has been challenged by nonrelational databases, known as NoSQL data stores, making polyglot persistence possible. Applications' persistence needs are progressing from mostly relational to a mixture of data stores. For example, various HIS modules should use different data stores to model data closer to its semantic usage. The authors' PolyglotHIS solution lets managers easily venture into polyglot-persistent software because all data stores are free and open source. Although polyglot persistence generates overhead from dealing with multiple data stores, the benefits are worth every penny. With PolyglotHIS, overhead in terms of latency caused by the presence of multiple layers is so small that it becomes negligible as the dataset increases.
Modular verification of preemptive OS kernels

Most major OS kernels today run on multiprocessor systems and are preemptive: it is possible for a process running in the kernel mode to get descheduled. Existing modular techniques for verifying concurrent code are not directly applicable in this setting: they rely on scheduling being implemented correctly, and in a preemptive kernel, the correctness of the scheduler is interdependent with the correctness of the code it schedules. This interdependency is even stronger in mainstream kernels, such as Linux, FreeBSD or XNU, where the scheduler and processes interact in complex ways. We propose the first logic that is able to decompose the verification of preemptive multiprocessor kernel code into verifying the scheduler and the rest of the kernel separately, even in the presence of complex interdependencies between the two components. The logic hides the manipulation of control by the scheduler when reasoning about preemptable code and soundly inherits proof rules from concurrent separation logic to verify it thread-modularly. This is achieved by establishing a novel form of refinement between an operational semantics of the real machine and an axiomatic semantics of OS processes, where the latter assumes an abstract machine with each process executing on a separate virtual CPU. The refinement is local in the sense that the logic focuses only on the relevant state of the kernel while verifying the scheduler. We illustrate the power of our logic by verifying an example scheduler, modelled on the one from Linux 2.6. 11.
Fabrication of SnO2 Flexible Sensor by Inkjet Printing Technology

In this work, a flexible tin oxide (SnO2) gas sensor was successfully fabricated by inkjet printing technology. This thin film deposition technique requires the formulation of stable suspensions with specific fluidic properties. Aqueous Sol-gel method was applied to synthesize a stable sol based on tin oxide, then transformed into ink with the appropriate viscosity and surface tension to be printed using a drop-on-demand piezoelectric inkjet printer. Thermal analyses of synthetized sol show that a crystallized structure of SnO2 could be obtained at 350 °C, which is lower than crystallization temperatures of SnO2 previously reported in the literature, and entirely consistent with our plastic substrate. The printed thin-film was then sintered at 350 °C on polyimide foil (Upilex-50S) and characterized as sensor.
Activation of RASSF2A by p300 induces late apoptosis through histone hyperacetylation

Both RASSF2A (Ras‐associated family 2A) and p300 are implicated in apoptosis. However, little is known about the interrelationship between these two proteins in induction of apoptosis. Here we show that p300 was able to induce late apoptosis through up‐regulation of RASSF2A in human gastric cancer cells SGC‐7901 (p53‐mutant). Our data demonstrated that p300 stimulated RASSF2A expression in 293T cells in cooperation with the transcription factor Sp1. Results of ChIP (chromatin immunoprecipitation) assays revealed that p300 induced histones H3 and H4 hyperacetylation at RASSF2A promoter. Moreover, p300 and Sp1 reciprocally facilitated their binding to RASSF2A promoter. Overall, data arising from this study indicate that Sp1‐mediated RASSF2A gene transcription is activated by p300 through histone acetylation, and this activation plays an important role in inducing late apoptosis.
Put fuzzy cognitive maps to work in virtual worlds

This article lies within the interactive virtual stories telling scope and proposes the use of fuzzy cognitive maps as a tool to model emotional behavior of virtual actors improvising in free interaction within the framework of a "nouvelle vague" scenario. We show how fuzzy cognitive maps can be delocalized on each agent level to model autonomous agents within a virtual world. We describe the implementation carried out, starting from work in cognitive psychology and illustrate it by an improvisation between a shepherd, a dog and virtual sheep.
CHIP Deficiency Decreases Longevity, with Accelerated Aging Phenotypes Accompanied by Altered Protein Quality Control

ABSTRACT During the course of biological aging, there is a gradual accumulation of damaged proteins and a concomitant functional decline in the protein degradation system. Protein quality control is normally ensured by the coordinated actions of molecular chaperones and the protein degradation system that collectively help to maintain protein homeostasis. The carboxyl terminus of Hsp70-interacting protein (CHIP), a ubiquitin ligase/cochaperone, participates in protein quality control by targeting a broad range of chaperone substrates for proteasome degradation via the ubiquitin-proteasome system, demonstrating a broad involvement of CHIP in maintaining cytoplasmic protein quality control. In the present study, we have investigated the influence that protein quality control exerts on the aging process by using CHIP−/− mice. CHIP deficiency in mice leads to a markedly reduced life span, along with accelerated age-related pathophysiological phenotypes. These features were accompanied by indications of accelerated cellular senescence and increased indices of oxidative stress. In addition, CHIP−/− mice exhibit a deregulation of protein quality control, as indicated by elevated levels of toxic oligomer proteins and a decline in proteasome activity. Taken together, these data reveal that impaired protein quality control contributes to cellular senescence and implicates CHIP-dependent quality control mechanisms in the regulation of mammalian longevity in vivo.
H2S Biogenesis by Human Cystathionine γ-Lyase Leads to the Novel Sulfur Metabolites Lanthionine and Homolanthionine and Is Responsive to the Grade of Hyperhomocysteinemia*

Although there is a growing recognition of the significance of hydrogen sulfide (H2S) as a biological signaling molecule involved in vascular and nervous system functions, its biogenesis and regulation are poorly understood. It is widely assumed that desulfhydration of cysteine is the major source of H2S in mammals and is catalyzed by the transsulfuration pathway enzymes, cystathionine β-synthase and cystathionine γ-lyase (CSE). In this study, we demonstrate that the profligacy of human CSE results in a variety of reactions that generate H2S from cysteine and homocysteine. The γ-replacement reaction, which condenses two molecules of homocysteine, yields H2S and a novel biomarker, homolanthionine, which has been reported in urine of homocystinuric patients, whereas a β-replacement reaction, which condenses two molecules of cysteine, generates lanthionine. Kinetic simulations at physiologically relevant concentrations of cysteine and homocysteine, reveal that the α,β-elimination of cysteine accounts for ∼70% of H2S generation. However, the relative importance of homocysteine-derived H2S increases progressively with the grade of hyperhomocysteinemia, and under conditions of severely elevated homocysteine (200 μm), the α,γ-elimination and γ-replacement reactions of homocysteine together are predicted to account for ∼90% of H2S generation by CSE. Excessive H2S production in hyperhomocysteinemia may contribute to the associated cardiovascular pathology.