Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined Application of Extrusion and Irradiation Technologies: A Strategy Oriented for Green and Cost-Effective Chemistry

Reactive extrusion is an attractive green route for cost-effective polymer processing, which has the potential to enhance the commercial viability of biomass-derived materials. In reactive extrusion, compatibilizers can be generated in the blend preparation through polymer-polymer grafting reactions using functionalized polymers. One very interesting new green strategy for processing is the use of intense UV-irradiation to create free radicals and controllable, ultra-fast reactions. It is reasonable to expect that the use of extrusion/irradiation green technology will be an important way to improve properties and compatibility of renewable biomass- derived polymers. We believe that in the future, many more cost-effective, sustainable extrusion/irradiation reaction processes will be developed to replace inefficient conventional biomass conversion procedures and stimulate the bioproduct-based industry.
Cancer Cell Migration: Integrated Roles of Matrix Mechanics and Transforming Potential

Significant progress has been achieved toward elucidating the molecular mechanisms that underlie breast cancer progression; yet, much less is known about the associated cellular biophysical traits. To this end, we use time-lapsed confocal microscopy to investigate the interplay among cell motility, three-dimensional (3D) matrix stiffness, matrix architecture, and transforming potential in a mammary epithelial cell (MEC) cancer progression series. We use a well characterized breast cancer progression model where human-derived MCF10A MECs overexpress either ErbB2, 14-3-3ζ, or both ErbB2 and 14-3-3ζ, with empty vector as a control. Cell motility assays showed that MECs overexpressing ErbB2 alone exhibited notably high migration speeds when cultured atop two-dimensional (2D) matrices, while overexpression of 14-3-3ζ alone most suppressed migration atop 2D matrices (as compared to non-transformed MECs). Our results also suggest that co-overexpression of the 14-3-3ζ and ErbB2 proteins facilitates cell migratory capacity in 3D matrices, as reflected in cell migration speed. Additionally, 3D matrices of sufficient stiffness can significantly hinder the migratory ability of partially transformed cells, but increased 3D matrix stiffness has a lesser effect on the aggressive migratory behavior exhibited by fully transformed cells that co-overexpress both ErbB2 and 14-3-3ζ. Finally, this study shows that for MECs possessing partial or full transforming potential, those overexpressing ErbB2 alone show the greatest sensitivity of cell migration speed to matrix architecture, while those overexpressing 14-3-3ζ alone exhibit the least sensitivity to matrix architecture. Given the current knowledge of breast cancer mechanobiology, these findings overall suggest that cell motility is governed by a complex interplay between matrix mechanics and transforming potential.
A survey of activity recognition process using inertial sensors and smartphone sensors

Research on activity based computing has, recently made progress and is growing attention in many real life applications like healthcare monitoring using wearable sensors and development of rehabilitation systems. However there is a lack of overview about the various sensing technologies used for activity recognition. In this paper, we present a comprehensive survey about the various sensing technologies used for activity recognition and the description of the various phases in activity recognition. The paper first discusses about the process of activity recognition using sensors, it further introduces various sensing technologies used for the process of activity recognition. Then, we review various methodologies used for the pre-processing phase, feature extraction phase and classification phase along with the application domain of the various techniques.
International Journal of Multidisciplinary Sciences and Engineering, Vol. 4, No. 2, February 2013

—The active magnetic bearing (AMB)-flywheel system is used as a storage device for electrical energy, it is desirable to minimize the energy required for its stabilization control. We apply an almost strictly positive real (ASPR)-based simple adaptive control (SAC) scheme to an AMB-flywheel energy storage system using the zero-bias current method. Since most practical systems do not satisfy the ASPR condition, the ASPR conditions are the fundamental restrictions for practical applications of the SAC control. The AMB-flywheel is a multiple-input multiple-output (MIMO) system with five degrees of freedom (DOF). We propose a design method for performing ASPR-augmented control for a MIMO AMB-flywheel system with five degrees of freedom; the method uses a parallel feed forward compensator for MIMO SAC. The SAC controller was proposed for application to an AMB-flywheel system and control performance was improved by combining SAC with a D controller. The SAC-D controller is evaluated via simulations and experiments. We present the analysis of the influence of external disturbances from the EV driving on the road about the AMB-flywheel system. The results demonstrate that the SAC controller can stabilize levitation of the AMB system under real disturbance without any touchdown.
On the pigeonhole and related principles in deep inference and monotone systems

We construct quasipolynomial-size proofs of the propositional pigeonhole principle in the deep inference system KS, addressing an open problem raised in previous works and matching the best known upper bound for the more general class of monotone proofs. We make significant use of monotone formulae computing boolean threshold functions, an idea previously considered in works of Atserias et al. The main construction, monotone proofs witnessing the symmetry of such functions, involves an implementation of merge-sort in the design of proofs in order to tame the structural behaviour of atoms, and so the complexity of normalization. Proof transformations from previous work on atomic flows are then employed to yield appropriate KS proofs. As further results we show that our constructions can be applied to provide quasipolynomial-size KS proofs of the parity principle and the generalized pigeonhole principle. These bounds are inherited for the class of monotone proofs, and we are further able to construct nO(log log n)-size monotone proofs of the weak pigeonhole principle with (1 + ε)n pigeons and n holes for ε = 1/logk n, thereby also improving the best known bounds for monotone proofs.
Investigating the Effect of Duration , Page Size and Frequency on Next Page Recommendation with Page Rank Algorithm

In this paper, we extend the use of page rank algorithm for next page prediction with several navigational attributes, which are size of the page, duration time of the page and duration of transition (two page visits sequentially), frequency of page and transition. In our model, we define popularity of transitions and pages by using duration information and use it in relation to page size and visit frequency factors. By using the popularity value of pages we bias conventional Page Rank algorithm and model a next page prediction system that produces page predictions under given top-n value. Actually we devise Duration Based Rank (DPR), which focuses on page duration with size proportion and Popularity Based Page Rank (PPR) ranking model, which focuses on both page duration with size proportion and frequency value of page visits. In addition to this, we investigate the effect of global and local ranking on PPR and DPR.
Advanced interferometric phase and amplitude noise measurements

The measurement of the close-to-the-carrier noise of two-port radio frequency and microwave devices is a relevant issue in time and frequency metrology and in some fields of electronics, physics, and optics. While phase noise is the main concern, amplitude noise is often of interest. Presently the highest sensitivity is achieved with the interferometric method, that consists of the amplification and synchronous detection of the noise sidebands after suppressing the carrier by vector subtraction of an equal signal. A substantial progress in understanding the flicker noise mechanism of the interferometer results in new schemes that improve by 20–30 dB the sensitivity at low Fourier frequencies. These schemes, based on two or three nested interferometers and vector detection of noise, also feature closed-loop carrier suppression control, simplified calibration, and intrinsically high immunity to mechanical vibrations. This article provides the complete theory and detailed design criteria, and reports on the .
Knee Stability after Resection of the Proximal Fibula

Managing tumors of the proximal fibula may require en bloc resection of the fibular head with the attachment site for the lateral collateral ligament. These resections of the proximal fibula cause unavoidable knee instability. We describe a reconstructive technique intended to minimize that instability. We retrospectively reviewed 24 patients who had proximal fibular resections from 1987 to 2004 and analyzes their knee stability and functional outcome. Resections were less (Type I) or more (Type II) radical depending upon the tumor type. Reconstruction included stapling the lateral collateral ligament to the lateral tibial metaphysis, cast immobilization, and protected weightbearing for 3 weeks. MSTS function scores were available for 19 of the 24 patients. At their most recent followup, 20 patients had a stable knee, three had 1 to 5 mm lateral joint space opening, and one had 6 to 10 mm lateral joint space opening. Patients with Type I resection had a better stability and function than those with a Type II resection. Stapling the lateral collateral ligament was a reliable technique for reconstructing the lateral collateral ligament after resecting the proximal fibula.Level of Evidence: Level IV, therapeutic study. See the Guidelines for Authors for a complete description of levels of evidence.
Genetic polymorphisms in the tumor necrosis factor locus influence non-Hodgkin's lymphoma outcome.

Systemic release of tumor necrosis factor (TNF) and lymphotoxin-alpha (LTalpha) has been found to contribute to the severity of non-Hodgkin's lymphoma (NHL). We investigated whether genetic polymorphisms in the TNF locus, previously shown to influence TNF and LTalpha genes expression, might contribute to these cytokines production and to the clinical course of NHL. Genomic DNA from 273 lymphoma patients was typed for TNF (-308) polymorphism using an allele-specific polymerase chain reaction (PCR) and for LTalpha (+252) polymorphism with a PCR-based restriction fragment length polymorphism. The presence of the TNF allele involved in increased TNF gene transcription was associated with higher plasma levels of this cytokine at the time of lymphoma diagnosis (chi2 test, P = .013). An extended haplotype analysis showed that the presence of at least two TNF or LTalpha high-producer alleles constituted a risk factor for first-line treatment failure (chi2 test, P = .021), shorter progression-free survival (log-rank test, P = .0007), and overall survival (log-rank test, P = .012). In the subgroup of 126 patients with diffuse large-cell lymphoma, the presence of two or more TNF/LTalpha high producing alleles contributed significantly to a higher rate of relapse and progression (log-rank test, P = .045 and P = .027). In multivariate Cox regression models including the variables of the International Prognostic Index, the TNF/LTalpha haplotype status was found to be an independent risk factor for progression-free survival (relative risk 2.33, 95% confidence interval [1.17 to 4.64], P = . 0053) and overall survival (relative risk 1.92, 95% confidence interval [0.63 to 5.80], P = .081) of large-cell lymphoma patients. These results indicate that genetic polymorphism leading to increased TNF production influences the outcome of NHL and suggest a pathophysiological role for the genetic control of the immune response in lymphoid malignancies.
A Spectrum Recovery Algorithm using Signal-to-Noise Ratio Classification for Noise Reduction

In the area of speech signal processing, real background noise is important problem for noise reduction, therefore more skillful methods are required in this area. Accordingly, this paper proposes a spectrum recovery algorithm using a signal-to-noise ratio classification method based on a classification of a voiced or unvoiced signal. Therefore, the proposed algorithm recovers a speech spectrum from a noisy speech spectrum using a time-delay neural network for noise reduction. As such, the proposed system detects the voiced and unvoiced signal, then reduces the noise spectrums for each input frame using the time-delay neural network. Based on measuring correct classification rates and spectrum recovery results, experiments confirm that the proposed algorithm is effective for speech degraded by various noises.
Impulsivity and Inhibitory Control

We report an experiment testing the hypothesis that impulsive behavior reflects a deficit in the ability to inhibit prepotent responses Specifically, we examined whether impulsive people respond more slowly to signals to inhibit (stop signals) than non-impulsive people In this experiment, 136 undergraduate students completed an impulsivity questionnaire and then participated in a stop-signal experiment, in which they performed a choice reaction time (go) task and were asked to inhibit their responses to the go task when they heard a stop signal The delay between the go signal and the stop signal was determined by a tracking procedure designed to allow subjects to inhibit on 50% of the stop-signal trials Reaction time to the go signal did not vary with impulsivity, but estimated stop-signal reaction time was longer in more impulsive subjects, consistent with the hypothesis and consistent with results from populations with pathological problems with impulse control
UVB radiation generates sunburn pain and affects skin by activating epidermal TRPV4 ion channels and triggering endothelin-1 signaling

Significance Skin protects against harmful external cues, one of them UV radiation, which, upon overexposure, causes sunburn as part of the UVB response. Using genetically engineered mice and cultured skin epithelial cells, we have identified the calcium-permeable TRPV4 ion channel in skin epithelial cells as critical for translating the UVB stimulus into intracellular signals and also into signals from epithelial skin cell to sensory nerve cell that innervates the skin, causing pain. These signaling mechanisms underlie sunburn and in particular sunburn-associated pain. Thus, activation of TRPV4 in skin by UVB evokes sunburn pain, highlighting the forefront-signaling role of the skin and TRPV4. At our body surface, the epidermis absorbs UV radiation. UV overexposure leads to sunburn with tissue injury and pain. To understand how, we focus on TRPV4, a nonselective cation channel highly expressed in epithelial skin cells and known to function in sensory transduction, a property shared with other transient receptor potential channels. We show that following UVB exposure mice with induced Trpv4 deletions, specifically in keratinocytes, are less sensitive to noxious thermal and mechanical stimuli than control animals. Exploring the mechanism, we find that epidermal TRPV4 orchestrates UVB-evoked skin tissue damage and increased expression of the proalgesic/algogenic mediator endothelin-1. In culture, UVB causes a direct, TRPV4-dependent Ca2+ response in keratinocytes. In mice, topical treatment with a TRPV4-selective inhibitor decreases UVB-evoked pain behavior, epidermal tissue damage, and endothelin-1 expression. In humans, sunburn enhances epidermal expression of TRPV4 and endothelin-1, underscoring the potential of keratinocyte-derived TRPV4 as a therapeutic target for UVB-induced sunburn, in particular pain.
Eye movement control during scene viewing: Immediate degradation and enhancement effects of spatial frequency filtering

What controls how long the eyes remain fixated during scene perception? We investigated whether fixation durations are under the immediate control of the quality of the current scene image. Subjects freely viewed photographs of scenes in preparation for a later memory test while their eye movements were recorded. Using the saccade-contingent display change method, scenes were degraded (Experiment 1) or enhanced (Experiment 2) via blurring (low-pass filtering) during predefined saccades. Results showed that fixation durations immediately after a display change were influenced by the degree of blur, with a monotonic relationship between degree of blur and fixation duration. The results also demonstrated that fixation durations can be both increased and decreased by changes in the degree of blur. The results suggest that fixation durations in scene viewing are influenced by the ease of processing of the image currently in view. The results are consistent with models of saccade generation in scenes in which moment-to-moment difficulty in visual and cognitive processing modulates fixation durations.
In vivo replication-deficient adenovirus vector-mediated transduction of the cytosine deaminase gene sensitizes glioma cells to 5-fluorocytosine.

Viral vector-mediated transfer of chemosensitization genes represents a promising new approach to the treatment of cancer. Previous reports have demonstrated that transfection of the bacterial cytosine deaminase (cd) gene into mammalian cells can sensitize them to the otherwise nontoxic nucleoside, 5-fluorocytosine (5-FC). We now report that a replication-deficient adenovirus vector that transduces the cd gene (Ad.CMV-cd) highly sensitizes 9L gliosarcoma cells to 5-FC, and that gene transduction is associated with a potent bystander effect that is not dependent on direct cell-to-cell contact. Stereotactic injection of Ad.CMV-cd into established rat gliomas, followed by systemic administration of 5-FC in vivo, results in prolongation of survival.
Supporting Employee Participation: Attitudes and Perceptions in Trainees, Employees and Teams

Research in employee participation has tended to focus on participation outcomes rather than the process of successful implementation, and to evaluate program success in terms of (a) employee attitudes (e.g. satisfaction) post-participation and (b) productivity or effectiveness. We argue that such approaches ignore the process component of successful implementation such as the long-term maintenance of interest in and support for participation among employees. A second problem is that although some research confronts this issue, the factors that moderate attitudes and perceptions of participation have not been examined in detail, nor acknowledged in current models of participation. Two projects are reported. The first examined the effect of seniority and training experience on personal support for participation, perceptions of program reputation and outcomes, and perceived organizational support for participation. Shop floor workers reported less personal support for employee participation and perceived less organizational support for participation than did special function workers and managers. Trainees held more positive perceptions of program outcomes, and they also reported more personal support for employee participation than did trained or untrained employees (regardless of seniority), although they perceived less organizational support for participation. The second study explored goal commitment in employee participation teams on the shop floor. Both prior team experience and task type predicted (perceived) status and influence within the team, which in turn predicted goal commitment. Teamwork training predicted perceived value of external relations, which in turn predicted goal commitment. Results are discussed in terms of implications for successful program implementation.
An architecture for elastic resource allocation in Fog Computing

Cloud computing is an amazing technology that uses an internet and central remote server to maintain data in different applications . This technology allows delivery of computing resources over the internet. Cloud offers scalability, availability, elasticity and multitenancy.The most fundamental issue in cloud computing is virtualization . Virtualization is a technique which allows to run multiple virtual machines on a single hardware. In cloud computing, virtualization is used to create a virtual version of a device or resources such as server, storage devices, network or an operating system where the resources are divided into one or more execution environment. Its main motive is to optimize the usage of resources, maximizing throughput, minimizing response time. Beyond this cloud computing has number of limitations. To overcome the limitations of cloud computing there is a new approach as fog computing. In this paper we are submitting here a survey on virtualization methods and its techniques; identifying various issues, possible threats and attacks with virtualization and
Correlating user profiles from multiple folksonomies

As the popularity of the web increases, particularly the use of social networking sites and style sharing platforms, users are becoming increasingly connected, sharing more and more information, resources, and opinions. This vast array of information presents unique opportunities to harvest knowledge about user activities and interests through the exploitation of large-scale, complex systems. Communal tagging sites, and their respective folksonomies, are one example of such a complex system, providing huge amounts of information about users, spanning multiple domains of interest. However, the current Web infrastructure provides no mechanism for users to consolidate and exploit this information since it is spread over many desperate and unconnected resources. In this paper we compare user tag-clouds from multiple folksonomies to: (a) show how they tend to overlap, regardless of the focus of the folksonomy (b) demonstrate how this comparison helps finding and aligning the user's separate identities, and (c) show that cross-linking distributed user tag-clouds enriches users profiles. During this process, we find that significant user interests are often reflected in multiple Web2.0 profiles, even though they may operate over different domains. However, due to the free-form nature of tagging, some correlations are lost, a problem we address through the implementation and evaluation of a user tag filtering architecture.
Co-ordinated regulation of gluconate catabolism and glucose uptake in Corynebacterium glutamicum by two functionally equivalent transcriptional regulators, GntR1 and GntR2

Corynebacterium glutamicum is a Gram‐positive soil bacterium that prefers the simultaneous catabolism of different carbon sources rather than their sequential utilization. This type of metabolism requires an adaptation of the utilization rates to the overall metabolic capacity. Here we show how two functionally redundant GntR‐type transcriptional regulators, designated GntR1 and GntR2, co‐ordinately regulate gluconate catabolism and glucose uptake. GntR1 and GntR2 strongly repress the genes encoding gluconate permease (gntP), gluconate kinase (gntK), and 6‐phosphogluconate dehydrogenase (gnd) and weakly the pentose phosphate pathway genes organized in the tkt‐tal‐zwf‐opcA‐devB cluster. In contrast, ptsG encoding the EIIGlc permease of the glucose phosphotransferase system (PTS) is activated by GntR1 and GntR2. Gluconate and glucono‐δ‐lactone interfere with binding of GntR1 and GntR2 to their target promoters, leading to a derepression of the genes involved in gluconate catabolism and reduced ptsG expression. To our knowledge, this is the first example for gluconate‐dependent transcriptional control of PTS genes. A mutant lacking both gntR1 and gntR2 shows a 60% lower glucose uptake rate and growth rate than the wild type when cultivated on glucose as sole carbon source. This growth defect can be complemented by plasmid‐encoded GntR1 or GntR2.