Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-adaptive QoS-aware resource allocation and reservation management in virtualised environments

As cloud computing develops and enters the commercial domain, the dynamics and complexity of virtualised environments pose some challenges in managing the resources to ensure the quality of service (QoS) continuously met under fluctuating workloads. In this paper, we focus on resource allocation and advance resource reservation management issues for virtualised environments. The architecture of virtualisation-based resource reservation is first described and then the formulation of an optimisation problem concerning the reservation acceptance decision is presented. To solve this problem, a self-adaptive QoS-aware reservation management approach is proposed, which calculates the reservation acceptance gain to make the final decision. Performance evaluation results demonstrate that by using our approach, the QoS of both types of applications could be guaranteed and thus the total revenue of the resource provider could stably keep rising. Detailed analysis shows that proper choices can be made to deal with resource reservation requests via a QoS-aware manner.
Simultaneous Binding of Two Protein Kinases to a Calcium-Dependent Potassium Channel

Large-conductance calcium-dependent potassium channels are subject to modulation by protein kinases, phosphatases, and other signaling proteins, and it has been inferred from electrophysiological experiments that signaling proteins sometimes can be intimately associated with these channels in a regulatory complex. We show here that endogenous protein kinase activity coimmunoprecipitates with both native and recombinant Drosophila Slowpoke (dSlo) calcium-dependent potassium channels. Coimmunoprecipitation experiments using antibodies against several protein kinases demonstrate that dSlo can bind simultaneously to the Src tyrosine kinase and to the catalytic subunit of the cAMP-dependent protein kinase (PKAc). Both kinases can phosphorylate the channel in Drosophila heads and in heterologous host cells. The PKAc binds directly to a 172-amino acid region in the C-terminal domain of dSlo, without the intervention of regulatory subunits or anchoring proteins, and channel phosphorylation by PKAc is not required for this binding interaction. In contrast, several phosphorylatable tyrosine residues in dSlo are important for Src binding. The results are consistent with the idea that an ion channel can act as a scaffold for its own specific set of modulatory enzymes.
Genetic polymorphism in ATG16L1 gene influences the response to adalimumab in Crohn's disease patients.

AIM To see if SNPs could help predict response to biological therapy using adalimumab (ADA) in Crohn's disease (CD). MATERIALS & METHODS IBDQ index and CRP levels were used to monitor therapy response. We genotyped 31 CD-associated genes in 102 Slovenian CD patients. RESULTS The strongest association for treatment response defined as decrease in CRP levels was found for ATG16L1 SNP rs10210302. Additional SNPs in 7 out of 31 tested CD-associated genes (PTGER4, CASP9, IL27, C11orf30, CCNY, IL13, NR1I2) showed suggestive association with ADA response. CONCLUSION Our results suggest ADA response in CD patients is genetically predisposed by SNPs in CD risk genes and suggest ATG16L1 as most promising candidate gene for drug response in ADA treatment. Original submitted 24 September 2014; Revision submitted 1 December 2014.
Blind Receiver for Multi-Layered Space-Frequency Coded MIMO Schemes Based on Temporally Extended Linear Constellation Precoding

This work formulates a new receiver for the blind decoding of multi-layered space-frequency codes (MLSFC) in multiple input multiple output (MIMO) systems based on orthogonal frequency division multiplexing (OFDM). We introduce a slight modification on the standard MLSFC transmit structure with linear constellation precoding, which consists in extending the constellation rotation across multiple OFDM symbols. Thanks to this added feature, we formulate the received signal as a three-way array following a parallel factor (PARAFAC) model exploiting the powerful uniqueness property of this tensor model, blind MLSFC decoding is guaranteed under mild conditions using an alternating least squares estimation algorithm. Our preliminary numerical results illustrate the bit error rate (BER) performance of the proposed receiver in comparison with the non-blind zero-forcing based MLSFC receiver that assumes perfect channel knowledge.
Circuits through Simple Byte Compression with Encoding Technique

Transition activity is one of the major factors for power dissipation in Low power VLSI circuits due to charging and discharging of internal node capacitances. Power dissipation is reduced through minimizing the transition activity by using proper coding techniques. In this paper Multi coding technique is implemented to reduce the transition activity up to 58.26%. Speed of data transmission basically depends on the number of bits transmitted through bus. When handling data for large applications huge storage space is required for processing, storing and transferring information. Data compression is an algorithm to reduce the number of bits required to represent information in a compact form. Here simple byte compression technique is implemented to achieve a lossless data compression. This compression algorithm also reduces the encoder computational complexity when handling huge bits of information. Simple byte compression technique improves the compression ratio up to 62.5%. As a cumulative effort of Simple byte compression with Multi coding techniques minimize area and power dissipation in low power VLSI circuits. Keywords— Compression, delay, Interconnect, Power dissipation, Transition activity, multi coding. __________________________________________________*****_________________________________________________
Personal Health Assistance for Elderly People via Smartwatch Based Motion Analysis

A new approach is presented for a personal health assistant for elderly people utilizing smartwatches. On the smartwatch, an app featuring an artificial neuronal net (ANN) analyzes the motion patterns of the smartwatch wearer. The ANN recognizes health relevant events and activities of daily living (EDLs, ADL). The system architecture of the app, the data acquisition process, the selection and design of suitable data models and the advantages of ANNs versus other recognition engines are elaborated. The characteristics of the recognized ADLs will be utilized for continuously calculating the wellbeing of the smartwatch wearer, safeguarding a self-determined living in the familiar home up to the very old age.
Visual Recommendations for Scientific and Cultural Content

Supporting individuals who lack experience or competence to evaluate an overwhelming amout of information such as from cultural, scientific and educational content makes recommender system invaluable to cope with the information overload problem. However, even recommended information scales up and users still need to consider large number of items. Visualization takes a foreground role, letting the user explore possibly interesting results. It leverages the high bandwidth of the human visual system to convey massive amounts of information. This paper argues the need to automate the creation of visualizations for unstructured data adapting it to the user’s preferences. We describe a prototype solution, taking a radical approach considering both grounded visual perception guidelines and personalized recommendations to suggest the proper visualization.
A QUALIFIED GRADED ATTRIBUTE-BASED ENCRYPTION ACCESS REGULATE MODE FOR ROVING CLOUD COMPUTING

To build a new niche system to run large-scale disadvantaged RDFD sections. New database strategies to collect buttons related to the database. In this document, we describe the PPR, a capable and virtualized RDF data management system for the cloud. Unlike the previous map, RPCL performs a physical analysis of the sample and Sca information before the information and the wallet. This machine keeps the current good reputation by running in a sliding window that works, as well as related tasks and overlapping edges. The article refers to the machining of the article through the eligibility of the RFJ chart, which is based on the local grid, horizontal navigation and the distribution industry. Important Pay key is a necessary index in RFJ, uses the use of a linguistic tree to implement each URL or word, and assigns a certain number of important values. Consuming such data by using graphics demography using conventional minute cutting algorithms results in very small dividends and more quantity. Many RDF systems are available in the Hash division and in the selection, the project and the segments. The grid system was from the first system, to administer neutral RDF at the poorest scale. Within this document, we describe the construction of RPLL, your organization of basic data, together with Neurosis’s, we use the data to distribute and distribute data. We produce an RPGCL product, our products will be shown exclusively, depending on the working conditions of the workload, instead of the two main reasons.
Classification of Ice Crystal Shapes in Midlatitude Ice Clouds from Three Years of Lidar Observations over the SIRTA Observatory

This paper presents a study of ice crystal shapes in midlatitude ice clouds inferred from a technique based on the comparison of ray-tracing simulations with lidar depolarization ratio measured at 532 nm. This technique is applied to three years of lidar depolarization ratio observations from the Site Instrumental de Recherche par Teledetection Atmospherique (SIRTA) observatory in Palaiseau, France, amounting to 322 different days of ice cloud observations. Particles in clouds are classified in three major groups: plates, columns, and irregular shapes with aspect ratios close to unity. Retrieved shapes are correlated with radiosounding observations from a close-by meteorological station: temperature, relative humidity, wind speed, and direction. Results show a strong dependence of the relative concentration of different crystal shapes to most atmospheric variables, such as the temperature, with a clear successive dominance by platelike (temperature above 20°C), irregular (temperatures between 60° and 40°C), and columnlike shapes (temperatures below 60°C). Particle shapes are almost exclusively columnlike below 75°C. This is in sharp contrast with previous results of the same classification applied to tropical clouds, and highlights the high geographic variability of the ice clouds distribution of microphysical properties. Results also suggest that ice clouds created by jet streams (identified by high wind speeds) are strongly dominated by columnlike shapes, while front-created ice clouds (identified by lower wind speeds) show a much more variable mix of shapes, with the dominant shapes depending on other factors. Results also suggest different microphysical properties according to the average direction source of air masses and winds. Following these results, a possible parameterization of ice crystal shapes in midlatitude ice clouds as a function of temperature is provided.
Regulation of apoptosis in theXenopus embryo by Bix3

Members of the Bix family of homeobox-containing genes are expressed in the vegetal hemisphere of the Xenopus embryo at the early gastrula stage. Misexpression of at least some of the family members causes activation of mesoderm- and endoderm-specific genes and it is known that some of the proteins, including Bix2 and Bix3, interact with Smad proteins via a motif that is also present in the related protein Mixer. In this paper we study the function of Bix3. Misexpression of Bix3, similar to misexpression of other members of the Bix family, causes the activation of a range of mesendodermal genes, but the spectrum of genes induced by Bix3 differs from that induced by Bix1. More significantly, we find that overexpression of Bix3 also causes apoptosis, as does depletion of Bix3 by use of antisense morpholino oligonucleotides. The ability of Bix3 to causes apoptosis is not associated with its ability to activate transcription and nor with its possession of a Smad interaction motif. Rather, Bix3 lacks a C-terminal motif, which, in Bix1, acts in cis to inhibit apoptosis. Mutation of this sequence in Bix1 causes the protein to acquire apoptosis-inducing activity.
DNA replication initiator Cdc6 also regulates ribosomal DNA transcription initiation

ABSTRACT RNA-polymerase-I-dependent ribosomal DNA (rDNA) transcription is fundamental to rRNA processing, ribosome assembly and protein synthesis. However, how this process is initiated during the cell cycle is not fully understood. By performing a proteomic analysis of transcription factors that bind RNA polymerase I during rDNA transcription initiation, we identified that the DNA replication initiator Cdc6 interacts with RNA polymerase I and its co-factors, and promotes rDNA transcription in G1 phase in an ATPase-activity-dependent manner. We further showed that Cdc6 is targeted to the nucleolus during late mitosis and G1 phase in a manner that is dependent on B23 (also known as nucleophosmin, NPM1), and preferentially binds to the rDNA promoter through its ATP-binding domain. Overexpression of Cdc6 increases rDNA transcription, whereas knockdown of Cdc6 results in a decreased association of both RNA polymerase I and the RNA polymerase I transcription factor RRN3 with rDNA, and a reduction of rDNA transcription. Furthermore, depletion of Cdc6 impairs the interaction between RRN3 and RNA polymerase I. Taken together, our data demonstrate that Cdc6 also serves as a regulator of rDNA transcription initiation, and indicate a mechanism by which initiation of rDNA transcription and DNA replication can be coordinated in cells. Summary: As well as serving as a DNA replication initiation licensing factor, Cdc6 also regulates the rDNA transcription initiation in proliferating cells.
Dual-confocal auto-focus sensing system in ultrafast laser application

A dual-confocal auto-focus sensing module for measuring defocusing positions of specimens in laser machining systems or inspecting devices is proposed. This sensing module can improve the detecting accuracy by analyzing and fitting signals from the difference between the dual optical paths, and miniaturize the optical apparatus with the superior integrated optical design. This auto-focusing module is especially integrated with the femtosecond laser machining system used to induce microstructures of silicon materials. The results of the simulations and the experiments demonstrate that the values of the positioning accuracy and the repeatability are both less than ±1. 5µm with the measuring ranges of ±200µm.
At the movies: 3-dimensional technology and gastrointestinal histology.

Gastrointestinal (GI) tissues consist of 3-dimensional (3D) microstructure, vasculature, and innervation to coordinate physiologic activities. To examine these cellular architectures, investigators often use microtomebased 2-dimensional (2D) analysis, such as hematoxylin and eosin or antibody staining and subsequent optical or electron microscopy, to visualize the molecule/ structure of interest at a specific or a series of cut planes. Because microtome slicing creates disconnections between tissue sections as well as distortions and artifacts, a microtome free, nondestructive imaging approach is preferable to provide an integral visualization of the tissue structure in situ. Recently, significant progress has been made in optical clearing of tissues and cells to generate transparent specimens for microtome-free 3D microscopy. 1‐4 Visualization of the image data over a region of tissue, such as a suspicious area of the patient’s biopsy, provides a global view of the tissue organization. This feature is particularly valuable when intricate vascular and neuronal networks are the prime targets for inspection. This article introduces the process of optical clearing and its integration with deep-tissue microscopy for 3D imaging of GI specimens with high definition. The goal is to change our conventional planar view of the tissue structure into a 3D panorama for better characterization of the microstructure, vasculature, and innervation of the GI tissues.
Impaired Innate Immunity in Mice Deficient in Interleukin-1 Receptor-Associated Kinase 4 Leads to Defective Type 1 T Cell Responses, B Cell Expansion, and Enhanced Susceptibility to Infection with Toxoplasma gondii

ABSTRACT Interleukin-1 receptor (IL1R)-associated kinase 4 (IRAK4) is a member of the IRAK family and has an important role in inducing the production of inflammatory mediators. This kinase is downstream of MyD88, an adaptor protein essential for Toll-like receptor (TLR) function. We investigated the role of this kinase in IRAK4-deficient mice orally infected with the cystogenic ME49 strain of Toxoplasma gondii. IRAK4−/− mice displayed higher morbidity, tissue parasitism, and accelerated mortality than the control mice. The lymphoid follicles and germinal centers from infected IRAK4−/− mice were significantly smaller. We consistently found that IRAK4−/− mice showed a defect in splenic B cell activation and expansion as well as diminished production of gamma interferon (IFN-γ) by T lymphocytes. The myeloid compartment was also affected. Both the frequency and ability of dendritic cells (DCs) and monocytes/macrophages to produce IL-12 were significantly decreased, and resistance to infection with Toxoplasma was rescued by treating IRAK4−/− mice with recombinant IL-12 (rIL-12). Additionally, we report the association of IRAK4 haplotype-tagging single nucleotide polymorphisms (tag-SNPs) with congenital toxoplasmosis in infected individuals (rs1461567 and rs4251513, P < 0.023 and P < 0.045, respectively). Thus, signaling via IRAK4 is essential for the activation of innate immune cells, development of parasite-specific acquired immunity, and host resistance to infection with T. gondii.
Celecoxib Alters the Intestinal Microbiota and Metabolome in Association with Reducing Polyp Burden

Treatment with celecoxib, a selective COX-2 inhibitor, reduces formation of premalignant adenomatous polyps in the gastrointestinal tracts of humans and mice. In addition to its chemopreventive activity, celecoxib can exhibit antimicrobial activity. Differing bacterial profiles have been found in feces from colon cancer patients compared with those of normal subjects. Moreover, preclinical studies suggest that bacteria can modulate intestinal tumorigenesis by secreting specific metabolites. In the current study, we determined whether celecoxib treatment altered the luminal microbiota and metabolome in association with reducing intestinal polyp burden in mice. Administration of celecoxib for 10 weeks markedly reduced intestinal polyp burden in APCMin/+ mice. Treatment with celecoxib also altered select luminal bacterial populations in both APCMin/+ and wild-type mice, including decreased Lactobacillaceae and Bifidobacteriaceae as well as increased Coriobacteriaceae. Metabolomic analysis demonstrated that celecoxib caused a strong reduction in many fecal metabolites linked to carcinogenesis, including glucose, amino acids, nucleotides, and lipids. Ingenuity Pathway Analysis suggested that these changes in metabolites may contribute to reduced cell proliferation. To this end, we showed that celecoxib reduced cell proliferation in the base of normal appearing ileal and colonic crypts of APCMin/+ mice. Consistent with this finding, lineage tracing indicated that celecoxib treatment reduced the rate at which Lgr5-positive stem cells gave rise to differentiated cell types in the crypts. Taken together, these results demonstrate that celecoxib alters the luminal microbiota and metabolome along with reducing epithelial cell proliferation in mice. We hypothesize that these actions contribute to its chemopreventive activity. Cancer Prev Res; 9(9); 721–31. ©2016 AACR.
Authoring New Haptic Textures Based on Interpolation of Real Textures in Affective Space

This paper presents a novel haptic texture authoring algorithm. The main goal of this algorithm is to synthesize new virtual textures by manipulating the affective properties of already existing real-life textures. To this end, two different spaces are established: two-dimensional (2-D) “affective space” built from a series of psychophysical experiments where real textures are arranged according to affective properties (hard-soft, rough-smooth) and 2-D “haptic model space” where real textures are placed based on features from tool-surface contact acceleration patterns (movement-velocity, normal-force). Another space, called “authoring space” is formed to merge the two spaces; correlating changes in affective properties of real-life textures to changes in actual haptic signals in haptic space. The authoring space is constructed such that features of the haptic model space that were highly correlated with affective space become axes of the space. As a result, new texture signals corresponding to any point in authoring space can be synthesized based on weighted interpolation of three nearest real surfaces in perceptually correct manner. The whole procedure including the selection of nearest surfaces, finding weights, and weighted interpolation of multiple texture signals are evaluated through a psychophysical experiment, demonstrating the competence of the approach. The results of evaluation experiment show an average normalized realism score of 94$\%$ for all authored textures.
Interactive generation of falling motions

Interactive generation of falling motions for virtual character with realistic responses to unexpected push, hit or collision with the environment is interesting work to many applications, such as computer games, film production, and virtual training environments. In this paper, we propose a new method to simulate protective behaviors in response to the ways a human may fall to the ground as well as incorporate the reactive motions into motion capture animation. It is based on simulated trajectory prediction and biomechanics inspired adjustment. According to the external perturbations, our system predicts a motion trajectory and uses it to select a desired transition‐to sequence. At the same time, physically generated falling motions will fill in the gap between the two‐motion capture sequences before and after the transition. Utilizing a parallel simulation, our method is able to predict a character's motion trajectory real‐time under dynamics, which ensures that the character moves towards the target sequence and makes the character's behavior more life‐like. Our controller is designed to generate physically plausible motion following an upcoming motion with adjustment from biomechanics rules, which is key to avoid an unconscious look for a character during the transition. Based on a relatively small motion database, our system is effective in generating various interactive falling behaviors. Copyright © 2006 John Wiley & Sons, Ltd.