Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Attribute-based Encryption Schemes of Access Control in Cloud Environments

In Attribute-based Encryption (ABE) scheme, attributes play a very important role. Attributes have been exploited to generate a public key for encrypting data and have been used as an access policy to control users' access. The access policy can be categorized as either key-policy or ciphertext-policy. The key-policy is the access structure on the user's private key, and the ciphertext-policy is the access structure on the ciphertext. And the access structure can also be categorized as either monotonic or non-monotonic one. Using ABE schemes can have the advantages: (1) to reduce the communication overhead of the Internet, and (2) to provide a fine-grained access control. In this paper, we survey a basic attribute-based encryption scheme, two various access policy attribute-based encryption schemes, and two various access structures, which are analyzed for cloud environments. Finally, we list the comparisons of these schemes by some criteria for cloud environments.
The impact of per capita consumption on Swedish cirrhosis mortality.

Summary On the basis of Swedish data for the period 1931–80 the impact of per capita consumption on male cirrhosis mortality is estimated. The lag structure which is specified takes the short-term as well as the long-term effect into consideration. According to the findings, a one litre increase in per capita consumption leads to an increase in male mortality from cirrhosis of about 60% when enough time has passed for the total effect to have been established. This estimate appears to be quite large, e.g. it is approximately five times greater than one which was estimated from Danish data. The discrepancy will be a subject for further research.
Long‐Term Outcomes after Pocket or Scar Revision and Reimplantation of Pacemakers with Preerosion

Introduction: Cardiac pacemakers with preerosion are often reimplanted. Preerosion may be caused by an evolving local infectious process affecting the entire pacing system or by mechanical migration of the device causing ischemic necrosis of the skin tissues. We examined the long‐term outcome of 33 patients who underwent pocket or scar revision and submuscular reimplantation of cardiac pacemakers in our institution.
Effects of Some Injection Molding Process Parameters on Fiber Orientation Tensor of Short Glass Fiber Polystyrene Composites (SGF/PS)

Calculation of fiber orientation distribution is the reference standard for determining the numerous physical and mechanical properties of injection molded short fiber reinforced thermoplastics. On the other hand, most of the properties of these composites depend on their fiber orientation pattern, which can be represented by tensorial notation, aij. This work focuses on numerical calculation of a fiber orientation tensor of an injection molded short glass fiber polystyrene (SGF-PS) composite part, shaped as a rectangular plate. In this study, the effects of some parameters of the injection molding process including injection flow rate, mold wall temprature, packing pressure and also fiber content on the changes of fiber orientations of this specimen are investigated. Our studies are concentrated on determining the changes of the first orientation tensor component in the flow direction due to different injection parameters. In addition, the changes on tensile modulus of the injected part are simulated in every condition. The simulations show how these molding parameters can influence both fiber orientation and tensile modulus of injection molded parts. At the first step, in order to be confident about the software results, they are validated by experimental data in two cases.
Ac ce pte d m an us cri pt Logical analysis of the budding yeast cell cycle

The budding yeast Saccharomyces cerevisiae is a model organism that is commonly used to investigate control of the eukaryotic cell cycle. Moreover, because of the extensive experimental data on wild type and mutant phenotypes, it is also particularly suitable for mathematical modelling and analysis. Here, I present a new Boolean model of the budding yeast cell cycle. This model is consistent with a wide range of wild type and mutant phenotypes and shows remarkable robustness against perturbations, both to reaction times and the states of component genes / proteins. Because of its simple logical nature, the model is suitable for sub-network analysis, which can be used to identify a four node core regulatory circuit underlying cell cycle regulation. Sub-network analysis can also be used to identify key sub-dynamics that are essential for viable cell cycle control, as well as identifying the sub-dynamics that are most variable between different mutants.
Mechanism of stability enhancement of passively harmonic mode-locked erbium doped fiber ring laser by passively modulating the saturable absorber's loss and the amplifier's gain depletion at high frequency

After many experimental investigations of passive harmonic mode-locking erbium doped fiber ring laser cavity, we have observed some new typical characteristics of the solitons and we propose here a circular cavity laser where a high frequency cavity transmission modulation is possible by sending a reflected pulse into the cavity, in the opposite direction to the direct pulse. The pre-saturation of the absorber and the gain depletion at the optimum frequency, superposed on the natural effect of harmonic state, determine a stable harmonic solitonic state. In this mode we can better estimate the importance of the role of unstable continuous waves and of gain recovery in forming a stable equidistant multisoliton state.
Maleic anhydride polypropylene modified cellulose nanofibril polypropylene nanocomposites with enhanced impact strength

Development of cellulose nanofibrils (CNFs) reinforced polypropylene (PP) nanocomposites using melt compounding processes has received considerable attention. The main challenges are to obtain well-dispersed CNFs in the polymer matrix and to establish compatible linkages between the CNFs and PP. Manufacturing of CNF reinforced PP nanocomposites was conducted using a twin-screw co-rotating extruder with the masterbatch concept. Modifications of CNFs using maleic anhydride polypropylene were performed. The best mechanical properties of the nanocomposites are 1.94 GPa (tensile modulus), 32.8 MPa (tensile strength), 1.63 GPa (flexural modulus), 50.1 MPa (flexural strength), and 3.8 kJ m−2 (impact strength), which represents about 36, 11, 21, 7, and 23% improvement, respectively, compared to those of pure PP (1.43 GPa, 29.5 MPa, 1.35 GPa, 46.9 MPa, and 3.1 kJ m−2). Fracture morphology examination indicated good dispersion of CNFs in the PP matrix was achieved through this specific manufacturing process. MAPP treatments enhanced the interfacial adhesion between the CNFs and PP. POLYM. COMPOS. , 2014. © 2014 Society of Plastics Engineers
Constraints-based models: regulation of gene expression reduces the steady-state solution space.

Constraints-based models have been effectively used to analyse, interpret, and predict the function of reconstructed genome-scale metabolic models. The first generation of these models used "hard" non-adjustable constraints associated with network connectivity, irreversibility of metabolic reactions, and maximal flux capacities. These constraints restrict the allowable behaviors of a network to a convex mathematical solution space whose edges are extreme pathways that can be used to characterize the optimal performance of a network under a stated performance criterion. The development of a second generation of constraints-based models by incorporating constraints associated with regulation of gene expression was described in a companion paper published in this journal, using flux-balance analysis to generate time courses of growth and by-product secretion using a skeleton representation of core metabolism. The imposition of these additional restrictions prevents the use of a subset of the extreme pathways that are derived from the "hard" constraints, thus reducing the solution space and restricting allowable network functions. Here, we examine the reduction of the solution space due to regulatory constraints using extreme pathway analysis. The imposition of environmental conditions and regulatory mechanisms sharply reduces the number of active extreme pathways. This approach is demonstrated for the skeleton system mentioned above, which has 80 extreme pathways. As regulatory constraints are applied to the system, the number of feasible extreme pathways is reduced to between 26 and 2 extreme pathways, a reduction of between 67.5 and 97.5%. The method developed here provides a way to interpret how regulatory mechanisms are used to constrain network functions and produce a small range of physiologically meaningful behaviors from all allowable network functions.
Fully Integrated Hybrid Silicon Two Dimensional Beam Scanner References and Links

In this work we present the first fully-integrated free-space beam-steering chip using the hybrid silicon platform. The photonic integrated circuit (PIC) consists of 164 optical components including lasers, amplifiers, photodiodes, phase tuners, grating couplers, splitters, and a photonic crystal lens. The PIC exhibited steering over 23° x 3.6° with beam widths of 1° x 0.6°. Hybrid silicon photonic integrated circuit technology, " IEEE J. Off-chip beam steering with a one-dimensional optical phased array on silicon-on-insulator, " Opt. Two-dimensional optical phased array antenna on silicon-on-Insulator, " Opt. 1 × 12 Unequally spaced waveguide array for actively tuned optical phased array on a silicon nanomembrane, " Appl. Two-dimensional free-space beam steering with an optical phased array on silicon-on-insulator, " Opt. " Hybrid III/V silicon photonic source with integrated 1D free-space beam steering, " Opt. Integrated phased array for wide-angle beam steering, " Opt. Low threshold and high speed short cavity distributed feedback hybrid silicon lasers, " Opt. Widely tunable Vernier ring laser on hybrid silicon, " Opt.
Bulk Membrane Retrieval in the Synaptic Terminal of Retinal Bipolar Cells

The mechanism of bulk membrane uptake at the synapse remains poorly defined, although exocytosis of synaptic vesicles is followed by compensatory membrane retrieval into both small vesicles and large cisternas or vacuoles. We investigated bulk retrieval in the presynaptic terminal of retinal bipolar cells. Fluorescence imaging of the membrane dye FM1–43 indicated that Ca2+-triggered exocytosis was followed by endocytosis into small vesicles and larger vacuoles that could be selectively labeled using large fluorescent dextrans. Disruption of actin filaments with cytochalasin D or latrunculin B inhibited the formation and transport of vacuoles, but exocytosis and endocytosis continued at normal rates. Bulk retrieval was linked to remodeling of the actin network, and both processes were inhibited by 2-(4-morpholinyl)-8-phenyl-4H-1-benzopyran-4-one, an inhibitor of phosphatidylinositol 3-kinase (PI 3-kinase). The regulation of F-actin dynamics by Ca2+ and PI 3-kinase therefore played an important role in compensatory endocytosis at this synapse, but this role was confined to bulk membrane uptake. Capacitance measurements demonstrated that fast endocytosis and refilling of the rapidly releasable pool of vesicles were not dependent on F-actin or PI 3-kinase activity. The basic properties of bulk membrane retrieval at this synapse were very similar to macropinocytosis described in non-neural cells. Bulk retrieval did not play an essential role in maintaining the vesicle cycle during maintained stimulation, but we suggest that it may play a role in the structural plasticity of this synaptic terminal.
Fundamental Issues of Melatonin-Mediated Stress Signaling in Plants

As a widely known hormone in animals, melatonin (N-acetyl-5-methoxytryptamine) has been more and more popular research topic in various aspects of plants. To summarize the these recent advances, this review focuses on the regulatory effects of melatonin in plant response to multiple abiotic stresses including salt, drought, cold, heat and oxidative stresses and biotic stress such as pathogen infection. We highlight the changes of endogenous melatonin levels under stress conditions, and the extensive metabolome, transcriptome, and proteome reprogramming by exogenous melatonin application. Moreover, melatonin-mediated stress signaling and underlying mechanism in plants are extensively discussed. Much more is needed to further study in detail the mechanisms of melatonin-mediated stress signaling in plants.
Sensor selection for fault parameter identification applied to an internal combustion engine

This paper presents a methodology for the selection of suitable sensors for a diagnosis problem that is relevant for control of internal combustion engines. The diagnosis is formulated as a parameter estimation problem, which is solved by augmenting the plant model with additional states that represent the faults. An Extended Kalman Filter is applied to estimate the states of the augmented model. The sensor selection is based on the classical concepts of observability as well as on the distinguishability analysis for the faults.
Effects of Realistic Surface Topography on Seismic Ground Motion in the Yangminshan Region of Taiwan Based Upon the Spectral-Element Method and LiDAR DTM

We combine light detection and ranging (LiDAR) digital terrain model (DTM) data and an improved mesh implementation to investigate the effects of high- resolution surface topography on seismic ground motion based upon the spectral- element method. In general, topography increases the amplitude of shaking at mountain tops and ridges, whereas valleys usually have reduced ground motion, as has been observed in both records from past earthquakes and numerical simulations. However, the effects of realistic topography on ground motion have not often been clearly characterized in numerical simulations, especially the seismic response of the true ground surface. Here, we use LiDAR DTM data, which provide two-meter reso- lution at the free surface, and a spectral-element method to simulate three-dimensional (3D) seismic-wave propagation in the Yangminshan region in Taiwan, incorporating the effects of realistic topography. A smoothed topographic map is employed beneath the model surface in order to decrease mesh distortions due to steep ground surfaces. Numerical simulations show that seismic shaking in mountainous areas is strongly affected by topography and source frequency content. The amplification of ground motion mainly occurs at the tops of hills and ridges whilst the valleys and flat-topped hills experience lower levels of ground shaking. Interaction between small-scale to- pographic features and high-frequency surface waves can produce unusually strong shaking. We demonstrate that topographic variations can change peak ground accel- eration (PGA) values by 50% in mountainous areas, and the relative change in PGA between a valley and a ridge can be as high as a factor of 2 compared to a flat surface response. This suggests that high-resolution, realistic topographic features should be taken into account in seismic hazard analysis, especially for densely populated moun- tainous areas.
A MERCURY POROSIMETRY STUDY OF THE POROSITY IN PORTLAND CEMENT

THE PORE SIZE DISTRIBUTIONS OF TWO SERIES OF CEMENT PASTES PREPARED AT WATER-CEMENT RATIOS 0.4 & 0.6 WERE DETERMINED AS FUNCTIONS OF AGE, USING MERCURY POROSIMETRY. THE CONTACT ANGLE OF MERCURY ON THOROUGHLY DRIED PASTE WAS MEASURED AS 117 DEGREES; FOR P-DRIED PASTE IT WAS FOUND TO BE 130 DEGREES. IT WAS FOUND THAT MUCH OF THE PORE SPACE PRESENT AT ALL AGES OCCURRED IN PORES BETWEEN 0.1 AND 0.01UM; THAT IS, IN BETWEEN THE CONVENTIONAL CONCEPTS OF CAPILLARY AND GEL PORE DIAMETERS. IT WAS FURTHER OBSERVED THAT PORE VOLUME LEFT UNINTRUDED BY MERCURY AT 15,000 PSI WAS SIGNIFICANTLY LESS THAN THE 28 PERCENT BY VOLUME THAT SHOULD BE PRESENT IN MATURE PASTES ACCORDING TO CURRENTLY ACCEPTED IDEAS OF THE NATURE OF CEMENT GEL. ON THE BASIS OF THESE OBSERVATIONS AND DIRECT EXAMINATION OF FRACTURE SURFACES OF CEMENT PASTE, IT WAS CONCLUDED THAT MOST OF THE SPACE PRESENT IS NEITHER CONVENTIONAL CAPILLARY NOR CONVENTIONAL GEL SPACE BUT MERELY SPACE BETWEEN FINE INDIVIDUAL PARTICLES OF CEMENT HYDRATION PRODUCTS. /AUTHOR/
Towards multiple interactions of inner and outer sensations in corporeal awareness

Under normal circumstances, different inner- and outer-body sources are integrated to form coherent and accurate mental experiences of the state of the body, leading to the phenomenon of corporeal awareness. How these processes are affected by changes in inner and outer inputs to the body remains unclear. Here, we aim to present empirical evidence in which people with a massive sensory and motor disconnection may continue to experience feelings of general body state awareness without complete control of their inner and outer states. In these clinical populations, the activity of the neural structures subserving inner and outer body processing can be manipulated and tuned by means of body illusions that are usually based on multisensory stimulation. We suggest that a multisensory therapeutic approach could be adopted in the context of therapies for patients suffering from deafferentation and deefferentation. In this way, these individuals could regain a more complete feeling and control of the sensations they experience, which vary widely depending on their neurological condition.
Entry and Fusion of Emerging Paramyxoviruses

Paramyxoviruses are a family of non-segmented RNA viruses that includes major human pathogens such as measles virus and respiratory syncytial virus (RSV) and significant animal viruses like rinderpest [1]. In recent years, several new paramyxoviruses have been identified, further increasing the breadth and importance of this viral family. While many elements of the fusion and entry mechanisms of these recently identified pathogens are conserved, there are interesting differences, including variations in receptor binding, cell tropism, fusion (F) protein proteolytic activation, and triggering of membrane fusion. Thus, study of their entry mechanisms has highlighted the diversity of these critical events in the family.
Reasoning in Infinitely Valued G-IALCQ

Fuzzy Description Logics (FDLs) are logic-based formalisms used to represent and reason with vague or imprecise knowledge. It has been recently shown that reasoning in most FDLs using truth values from the interval [0,1] becomes undecidable in the presence of a negation constructor and general concept inclusion axioms. One exception to this negative result are FDLs whose semantics is based on the infinitely valued G\"odel t-norm (G). In this paper, we extend previous decidability results for G-IALC to deal also with qualified number restrictions. Our novel approach is based on a combination of the known crispification technique for finitely valued FDLs and the automata-based procedure originally developed for reasoning in G-IALC. The proposed approach combines the advantages of these two methods, while removing their respective drawbacks.
Experimental evolution in Chlamydomonas. IV. Selection in environments that vary through time at different scales

Specialists and two kinds of generalist were selected for in a genetically heterogeneous base population of the unicellular chlorophyte Chlamydomonas reinhardtii. The selection environments consisted of alternating periods of light and dark. When the environment remains constant (light or dark), specialists are expected to evolve; when the environment varies through time, generalists are expected to evolve. The kind of generalist that evolves depends on the period of environmental variation: versatile generalists capable of reversible responses to growth conditions are expected to evolve when the environment is fine-grained, whereas plastic generalists that respond irreversibly to the conditions of growth are expected to evolve when the environment is coarse-grained. The results indicate that specialists evolve in constant environments and generalists evolve in variable environments, as expected, but no evidence was found to support the idea that versatility and plasticity evolve in fine-grained and coarse-grained environments respectively. Moreover, the evolved generalists performed well in every environment and were insensitive to environmental variation. These results are interpreted to mean: (1) selection in the variable environments acted on the mean performance in each environment, rather than on the variance in performance across environments; (2) there was little cost to being a generalist.
Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Feature detectors are schemes that locate and describe points or regions of `interest' in an image. Today there are numerous machine vision applications needing efficient feature detectors that can work on Real-time; moreover, since this detection is one of the most time consuming tasks in several vision devices, the speed of the feature detection schemes severally affects the effectiveness of the complete systems. As a result, feature detectors are increasingly being implemented in state-of-the-art FPGAs. This paper describes an FPGA-based implementation of the SURF (Speeded-Up Robust Features) detector introduced by Bay, Ess, Tuytelaars and Van Gool; this algorithm is considered to be the most efficient feature detector algorithm available. Moreover, this is, to the best of our knowledge, the first implementation of this scheme in an FPGA. Our innovative system can support processing of standard video (640 x 480 pixels) at up to 56 frames per second while it outperforms a state-of-the-art dual-core Intel CPU by at least 8 times. Moreover, the proposed system, which is clocked at 200 MHz and consumes less than 20W, supports constantly a frame rate only 20% lower than the peak rate of a high-end GPU executing the same basic algorithm; the specified GPU consists of 128 floating point CPUs, clocked at 1.35 GHz and consumes more than 200W.
Face pose estimation with combined 2D and 3D HOG features

This paper describes an approach to location and orientation estimation of a person's face with color image and depth data from a Kinect sensor. The combined 2D and 3D histogram of oriented gradients (HOG) features, called RGBD-HOG features, are extracted and used throughout our approach. We present a coarse-to-fine localization paradigm to obtain localization results efficiently using multiple HOG filters trained in support vector machines (SVMs). A feed-forward multi-layer perception (MLP) network is trained for fine face orientation estimation over a continuous range. The experimental result demonstrates the effectiveness of the RGBD-HOG feature and our face pose estimation approach.