Miracle-dz/UniFAR-FTUs huggingface dataset:
Definition of Interferon " y-response Elements in a Novel Human Fc ' y Receptor Gene ( Fc ' yRIb ) and Characterization of the Gene Structure

The human Fc3,RI (CD64) is a high a~nity receptor for the Fc portion of immunoglobulin (Ig), and its constitutively low expression on the cell surface of monocyte/macrophage and neutrophils is selectively upregulated by interferon 3' (IFN-3') treatment (Perussia, B., E. T. Dayton, R. Lazarus, V. Fanning, and G. Trinchieri. 1983.J. Extx Med. 158:1092). Three distinct cDNAs have been cloned and code for proteins that predict three extraceUular Ig-like domains (Allen, J. M., and B. Seed. 1989. Science [Wash. DC]. 243:378). Several differences in the coding region of these cDNAs suggest that in addition to polymorphic differences a second Fc3,RI gene could possibly exist. This alternative Fc3,RI gene (Fc3,RIb) was defined by the lack ofa genomic HindlII restriction site (van der Winkel, J. G. J., L. U. Ernst, C. L. Anderson, and I. M. Chiu. 1991. J. Biol. Chem. 266:13449). We describe the characterization a second gene (Fc3,RIb) that has a termination codon in the third extracellular domain and therefore predicts a soluble form of the receptor. We also define two distinct IFN-3'-responsive regions in the 5' flanking sequence of Fc3,RIb that resemble motifs that have been defined in the class II major histocompatibility complex promoter. The Fc3,RIb promoter does not possess canonical TATA or CCAAT boxes, but does possess a palindromic motif that closely resembles the initiator sequence identified in the terminal deoxynucleotidyl transferase/human leukocyte IFN/adeno-associated virus type II P5 gene promoters (Smale, S. T., and D. Baltimore. 1989. Cell. 57:103; Seto, E., Y. Shi, and T. Shenk. 1991. Nature [Lond.]. 354:241; Roy, A. L., M. Meisterernst, P. Pognonec, and R. C. Koeder. 1991. Nature[Lond.]. 354:245) virus type II P5 gene promoters raising interesting questions as to its role in the basal and myeloid-specific transcription of this gene.
Real-time example-based elastic deformation

We present an example-based elastic deformation method that runs in real time. Example-based elastic deformation was originally presented by Martin et al. [MTGG11], where an artist can intuitively control elastic material behaviors by simply giving example poses. Their FEM-based approach is, however, computationally expensive requiring nonlinear optimization, which hinders its use in real-time applications such as games. Our contribution is to formulate an analogous concept using the shape matching framework, which is fast, robust, and easy to implement. The key observation is that each overlapping local region's right stretch tensor obtained by polar decomposition is a natural choice for a deformation descriptor. This descriptor allows us to represent the pose space as a linear blending of examples. At each time step, the current deformation descriptor is linearly projected onto the example manifold, and then used to modify the rest shape of each local region when computing goal positions. Our approach is two orders of magnitude faster than Martin et al.'s approach while producing comparable example-based elastic deformations.
Edinburgh Research Explorer On Ontologology

The study of models, and related concepts such as metamodels, is largely situated within the software engineering community under the banner of model-driven development. Yet these concepts have some obvious parallels with concepts developed within the artiﬁcial intelligence community under the banners of ontologies and the semantic web. Although a considerable amount of work has been done that aims to relate the development of ontologies to the model-driven development of software, the place of bidirectional transformations within these connected worlds is (almost) unstudied. Yet, experts in the study of ontologies have experienced the need to check and restore consistency, and have developed techniques, terminology and tools that relate to these tasks. In this paper we provide a high-level introduction to the work that has been done, aiming to promote further study and perhaps collaboration between these communities.
Dissipativity-Based Sampled-Data Fuzzy Control Design and its Application to Truck-Trailer System

This paper is concerned with the problem of dissipative control for Takagi-Sugeno fuzzy systems under time-varying sampling with a known upper bound on the sampling intervals. Based on the time-dependent Lyapunov-Krasovskii functional approach, which makes full use of the available information about the actual sampling pattern, a sufficient condition is established to guarantee the sampled-data systems to be exponentially stable and strictly (Q, S, R)-γ-dissipative. Based on the criterion, a design algorithm for the desired sampled-data controller is proposed. The effectiveness and benefits of the results developed in this paper is demonstrated by a controller design for a truck-trailer system.
Reservoirs of Non-baumannii Acinetobacter Species

Acinetobacter spp. are ubiquitous gram negative and non-fermenting coccobacilli that have the ability to occupy several ecological niches including environment, animals and human. Among the different species, Acinetobacter baumannii has evolved as global pathogen causing wide range of infection. Since the implementation of molecular techniques, the habitat and the role of non-baumannii Acinetobacter in human infection have been elucidated. In addition, several new species have been described. In the present review, we summarize the recent data about the natural reservoir of non-baumannii Acinetobacter including the novel species that have been described for the first time from environmental sources and reported during the last years.
Resorcinol peels as a possible self‐treatment of painful nodules in hidradenitis suppurativa

Background. Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disease characterized by abscess formation localized to apocrine sweat gland‐bearing skin. The most important factor in patients’ overall assessment of disease severity is pain. The duration of abscesses takes days to weeks and are always painful.
Wireless sensor network prototype in virtual automation networks: Implementation and coexistence aspects

Wireless sensor networks enable scalable, self organizing, self-healing networks that can manage various data traffic patterns. They are fast gaining prominence in a multitude of applications including industrial communications and automation. This paper presents the research and development activities carried out within the virtual automation networks project towards realizing a wireless sensor network prototype and its implementation as well as its coexistence with other chosen wireless technologies.
Risk Factors for Extended-Spectrum Beta-Lactamase-Producing Enterobacteriaceae in a Neonatal Intensive Care Unit

Abstract Risk factors for colonization or infection with extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae during an outbreak in a neonatal intensive care unit (NICU) included low gestational age and exposure to third-generation cephalosporins. We also reviewed the existing medical literature regarding the clinical epidemiology of ESBLs in NICUs.
Intracellular phospho‐protein staining techniques for flow cytometry: Monitoring single cell signaling events

Recent advances in intracellular staining techniques, cytometer technology, fluorescent reagents, and antibody production have expanded the number of intracellular antigens that can be analyzed by flow cytometry. Measurement of protein phosphorylation with phospho‐specific antibodies has given insight into kinase signaling cascades. However, available techniques for phospho‐epitope staining can differ greatly, making it necessary to understand the differences between the outcomes when such techniques are applied and to develop robust and reproducible methods of application.
Extracting Propositional Rules from Feedforward Neural Networks by Means of Binary Decision Diagrams

We discuss how to extract symbolic rules from a given binary threshold feed-forward network. The proposed decompositional approach is based on an internal representation using binary decision diagrams. They allow for an efficient composition of the intermediate results as well as for an easy integration of integrity constraints into the extraction. We also discuss some experimental results indicating a good performance of the approach.
Recognition of rotated images by angle estimation using feature map with CNN

We propose a model that adapts to CNN trained by non-rotated images even for rotated images by evaluating the feature map obtained from the convolution part of CNN. The additional network for rotation angle estimation is able to correct the rotation angle using the feature map in the MNIST data-set. It is possible to cope with the rotation without changing the original network by adding a network to judge.
A microfluidic device for three-dimensional wear debris imaging in online condition monitoring

Three-dimensional morphologies of wear particles are important information sources for machine condition assessment and fault diagnosis. However, existing three-dimensional image acquisition systems, such as laser scanning confocal microscopy and atomic force microscopy, cannot be directly applied in condition-based maintenance of machines. In order to automatically acquire three-dimensional information of wear debris for online condition monitoring, a microfluidic device consisting of an oil flow channel and a video imaging system is developed. This paper focuses on the control of particle motions. A microchannel is designed to ensure the continuous rotation of particles such that their three-dimensional features can be captured. The relationships between running torque and channel height and particle size are analysed to determine the channel height. An infinite fluid field is considered to make sure that the particles rotate around the same axis to capture 360 degree views. Based on this, the cross section of the microchannel is determined at 5 mm × 0.2 mm (height × width) to capture the wear debris under 200 µm. A CMOS sensor is used to image the particles in multiple views and then three-dimensional features of wear debris (e.g. thickness, height aspect ratio and sphericity) are obtained. Two experiments were carried out to evaluate the performances of the designed system. The results demonstrate that (1) the microfluidic device is effective in capturing multiple view images of wear particles various in sizes and shapes; (2) spatial morphological characteristics of wear particles can be constructed using a sequence of multi-view images.
Video Realistic Mouth Animation Based on an Audio Visual DBN Model with Articulatory Features and Constrained Asynchrony

This paper presents a mouth animation construction method based on the DBN models with articulatory features (AF_AVDBN), in which the articulatory features of lips, tongue, glottis/velum can be asynchronous within a maximum asynchrony constraint to describe the speech production process more reasonably. Given an audio input and the trained AF_AVDBN models, the optimal visual feature learning algorithm is deduced based on the Maximum Likelihood Estimation criterion. The learned visual features are then used to construct the mouth images for the input speech. Objective and subjective evaluations on the mouth animations of 110 speech sentences show that the learned visual features from the AF_AVDBN models track the real visual features very closely, and the constructed mouth images from the AF_AVDBN models are very much like the real ones.
Structuring SOA Governance

Companiesâ€™ IT Systems are confronted with constantly changing market conditions, new competitive threats and a growing number of legal regulations. The service-oriented architecture (SOA) paradigm provides a promising way to address these challenges at the level of a companyâ€™s IT infrastructure. These challenges, as well as the management of the newly introduced complexity and heterogeneity, are targeted by SOA Governance approaches. In recent years, a number of concrete frameworks for SOA Governance addressing these issues have been proposed. There is no holistic approach considering all proposed elements, consolidating them in order to form a universally applicable model. In this contribution, we motivate SOA Governance, investigate and compare different approaches, identify common concepts, and derive a generic model for governance of Service-oriented Architectures.
Towards a Reflective Component-Based Middleware Architecture

Current middleware is inflexible and monolithic and fails to address emerging needs for adaptation to changing requirements. As a solution, we propose that middleware be built as a reflective and component-based system. Our architecture is based on component frameworks and component framework-specific meta-interfaces and leads to extensible, composable, and dynamically flexible middleware systems. Moreover, it addresses the critical problem of ensuring integrity in the face of dynamic adaptation. A pilot implementation, based on an efficient, lightweight component model, is currently
Predicting ADI mechanical properties

Ductile cast iron was quench-hardened with the isothermal transformation according to two alternatives. The first treatment alternative consisted in the austenitizing process at temperature t = 830, 860 i 900°C and annealing at temperature tpi = 400, 350 and 300°C in a period of time up to 240 min. The second treatment alternative consisted in dual-stage austenitizing. The material was annealed in temperature of t = 950°C and cooled to temperature t ’ = 900, 860 and 830°C. The isothermal transformation was performed in the same conditions as in the first alternative. The cast iron was ferritizingly annealed before the isothermal quench-hardening. The cast iron matrix after the annealing was ferritic. Metallographic cubic specimens with the size about of 10 mm were quench-hardened with the isothermal transformation. Matrix microstructure, austenite percentage and Vicker’s hardness were determined using the specimens. Hardness test results were used to determine, on the base of material coefficients, tensile strength Rm, yield strength Rp0,2 and deformation A5. Tests showed that heat treatment according to two alternatives of the quench hardening led to obtain ADI cast iron with accordance to PN– EN 1564 : 2000 grade: EN-GJS-800-8, EN-GJS-1000-5, EN-GJS-1200-2. Only ausferritic cast iron was assumed as a base of qualification.
An in vitro model of intestinal infection reveals a developmentally regulated transcriptome of Toxoplasma sporozoites and a NF-κB-like signature in infected host cells

Toxoplasmosis is a zoonotic infection affecting approximately 30% of the world’s human population. After sexual reproduction in the definitive feline host, Toxoplasma oocysts, each containing 8 sporozoites, are shed into the environment where they can go on to infect humans and other warm-blooded intermediate hosts. Here, we use an in vitro model to assess host transcriptomic changes that occur in the earliest stages of such infections. We show that infection of rat intestinal epithelial cells with mature sporozoites primarily results in higher expression of genes associated with Tumor Necrosis Factor alpha (TNFα) signaling via NF-κB. Furthermore, we find that, consistent with their biology, these mature, invaded sporozoites display a transcriptome intermediate between the previously reported day 10 oocysts and that of their tachyzoite counterparts. Thus, this study uncovers novel host and pathogen factors that may be critical for the establishment of a successful intracellular niche following sporozoite-initiated infection.
Rapid Prototyping of Thermoplastic Microfluidic Devices for Medium Volume Production by Combining Hot Embossing and Milling

Microfluidics technology promises to advance many current areas of research including point-of-care diagnostics and cell-based assays. However, there is a need to address current challenges associated with the iterative design and fabrication process of microfluidic systems in thermoplastics that are amenable to mass production downstream. The objective of this study was to develop an optimized fabrication approach that will enable medium volume production of microfluidic devices made in thermoplastics PMMA and COP. The aim is to use the approach as an intermediate step between rapid prototyping in PDMS and high-volume production in plastics. An optimized approach will enable rapid testing of designs and reduce the time and cost of microfluidic chip development. Results showed that epoxy molds can be made consistently and can be applied to hot embossing of thermoplastic materials, which when combined with micromilling can rapidly produce prototyped thermoplastic microfluidic devices at a medium volume production scale.
Technology adaptation: the case of implementing a collaborative product commerce system to new product design

Applying advanced information technology (AIT) to an enterprise can precipitate unexpected outcomes. This is especially true when dealing with new product development (NPD). The NPD process contains many sub-processes in which the design project team has complicated interactions with related departments. The essence of technology adaptation is to make an analysis of structure change in organization, in order to adjust to the impact brought about by technology. Past research in this field of exploratory investigation is relatively scarce. This study proposes a revised technology adaptation model and conducts a case study where collaborative product commerce (CPC) system is implemented in a motorcycle company. Given the complication of AIT, process theory is applied to predict the impact of CPC on the aspects document access, and information and knowledge sharing. Results showed that these three aspects had their appropriations and discrepancy events. Then, the results further represented the adaptation methods and the emergent structures. As CPC project often involves with high risk, the pattern of analysis adopted in this study can serve as a benchmark for measuring the impact of implementing CPC system.
Identification and molecular characterization of an N‐acetylmuramyl‐l‐alanine amidase Sle1 involved in cell separation of Staphylococcus aureus

We purified a peptidoglycan hydrolase involved in cell separation from a Staphylococcus aureus atl null mutant and identified its gene. Characterization of the gene product shows a 32 kDa N‐acetylmuramyl‐l‐alanine amidase that we designated Sle1. Analysis of peptidoglycan digests showed Sle1 preferentially cleaved N‐acetylmuramyl‐l‐Ala bonds in dimeric cross‐bridges that interlink the two murein strands in the peptidoglycan. An insertion mutation of sle1 impaired cell separation and induced S. aureus to form clusters suggesting Sle1 is involved in cell separation of S. aureus. The Sle1 mutant revealed a significant decrease in pathogenesis using an acute infection mouse model. Atl is the major autolysin of S. aureus, which has been implicated in cell separation of S. aureus. Generation of an atl/sle1 double mutant revealed that the mutant cell separation was heavily impaired suggesting that S. aureus uses two peptidoglycan hydrolases, Atl and Sle1, for cell separation. Unlike Atl, Sle1 is not directly involved in autolysis of S. aureus.
StreaMorph: A case for synthesizing energy-efficient adaptive programs using high-level abstractions

This paper presents the concept of adaptive programs, whose computation and communication structures can morph to adapt to environmental and demand changes to save energy and computing resources. In this approach, programmers write one single program using a language at a higher level of abstraction. The compiler will exploit the properties of the abstractions to generate an adaptive program that is able to adjust computation and communication structures to environmental and demand changes. We develop a technique, called StreaMorph, that exploits the properties of stream programs' Synchronous Dataflow (SDF) programming model to enable runtime stream graph transformation. The StreaMorph technique can be used to optimize memory usage and to adjust core utilization leading to energy reduction by turning off idle cores or reducing operating frequencies. The main challenge for such a runtime transformation is to maintain consistent program states by copying states between different stream graph structures, because a stream program optimized for different numbers of cores often has different sets of filters and inter-filter channels. We propose an analysis that helps simplify program state copying processes by minimizing copying of states based on the properties of the SDF model. Finally, we implement the StreaMorph method in the StreamIt compiler. Our experiments on the Intel Xeon E5450 show that using StreaMorph to minimize the number of cores used from eight cores to one core, e.g. when streaming rates become lower, can reduce energy consumption by 76.33% on average. Using StreaMorph to spread workload from four cores to six or seven cores, e.g. when more cores become available, to reduce operating frequencies, can lead to 10% energy reduction. In addition, StreaMorph can lead to a buffer size reduction of 82.58% in comparison with a straightforward inter-core filter migration technique when switching from using eight cores to one core.
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning

We investigate contextual online learning with nonparametric (Lipschitz) comparison classes under different assumptions on losses and feedback information. For full information feedback and Lipschitz losses, we design the first explicit algorithm achieving the minimax regret rate (up to log factors). In a partial feedback model motivated by second-price auctions, we obtain algorithms for Lipschitz and semi-Lipschitz losses with regret bounds improving on the known bounds for standard bandit feedback. Our analysis combines novel results for contextual second-price auctions with a novel algorithmic approach based on chaining. When the context space is Euclidean, our chaining approach is efficient and delivers an even better regret bound.
Capacity region of K-user discrete memoryless interference channels with a mixed strong-very strong interference

The capacity region of the 3-user Gaussian Interference Channel (GIC) with mixed strong-very strong interference was established in [1]. The mixed strong-very strong interference conditions considered in [1] correspond to the case where, at each receiver, one of the interfering signals is strong and the other is very strong. In this paper, we derive the capacity region of K-user (K ≥ 3) Discrete Memoryless Interference Channels (DMICs) with a mixed strong-very strong interference. This corresponds to the case where, at each receiver one of the interfering signals is strong and the other (K − 2) interfering signals are very strong. This includes, as a special case, the 3-user DMIC with mixed strong-very strong interference. The proof is specialized to the 3-user GIC case and hence an alternative derivation for the capacity region of the 3-user GIC with mixed strong-very strong interference is provided.