Miracle-dz/UniFAR-FTUs huggingface dataset:
Using wordmap and score-based weight in opinion mining with mapreduce

Cloud computing is newly rising as a novel drift of data management and many researchers find that opinion mining can be faster using cloud computing. Using the current opinion mining is, however, unfit for the Internet because the Internet has huge information and is changing at short intervals. In addition, utilizing marks or scores such as the number of stars awarded and sentiment classification will be more commonly used for analyzing opinions. For these reasons, we propose a new approach to opinion mining. We use MapReduce function as an opinion analyzing and clustering tool with score-based weight and try to make opinion mining simpler because of fixing in MapReduce. Our new approach can analyze results of documents with the opinion mining faster than using current methods and make products that meet requirements of users who want to employ outcomes of opinion mining. Our study is a new idea for opinion mining and done in a distinctive way and we are looking forward to applying this noble method to all related fields including searching engines.
In Vivo Determination of Vitamin D Function Using Transgenic Mice Carrying a Human Osteocalcin Luciferase Reporter Gene

Vitamin D is an essential factor for ossification, and its deficiency causes rickets. Osteocalcin, which is a noncollagenous protein found in bone matrix and involved in mineralization and calcium ion homeostasis, is one of the major bone morphogenetic markers and is used in the evaluation of osteoblast maturation and osteogenic activation. We established transgenic mouse line expressing luciferase under the control of a 10-kb osteocalcin enhancer/promoter sequence. Using these transgenic mice, we evaluated the active forms of vitamins D2 and D3 for their bone morphogenetic function by in vivo bioluminescence. As the result, strong activity for ossification was observed with 1α,25-hydroxyvitamin D3. Our mouse system can offer a feasible detection method for assessment of osteogenic activity in the development of functional foods and medicines by noninvasive screening.
Sharing Detailed Research Data Is Associated with Increased Citation Rate

Background Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. Principal Findings We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. Significance This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
International Conference in Knowledge Based and Intelligent Information and Engineering Systems-KES 2013 Interlinking documents based on semantic graphs

Connectivity and relatedness of Web resources are two concepts that define to what extent different parts are connected or related to one another. Measuring connectivity and relatedness between Web resources is a growing field of research, often the starting point of recommender systems. Although relatedness is liable to subjective interpretations, connectivity is not. Given the Semantic Web’s ability of linking Web resources, connectivity can be measured by exploiting the links between entities. Further, these connections can be exploited to uncover relationships between Web resources. In this paper, we apply and expand a relationship assessment methodology from social network theory to measure the connectivity between documents. The connectivity measures are used to identify connected and related Web resources. Our approach is able to expose relations that traditional text-based approaches fail to identify. We validate and assess our proposed approaches through an evaluation on a real world dataset, where results show that the proposed techniques outperform state of the art approaches. c © 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of KES International.
Fault tolerant control design for polytopic uncertain LPV systems

This paper presents a fault tolerant control (FTC) design for polytopic uncertain linear parameter-varying (LPV) systems. Depending on the information available about the fault, the FTC strategy could be passive FTC, active FTC without controller reconfiguration or active FTC with controller reconfiguration. The FTC strategy is designed taking into account the robust LPV polytopic framework extending known results from the robust polytopic and the traditional LPV polytopic control areas. The effectiveness of the proposed method is demonstrated by its application to a two-tank system simulator.
Low Power Bit-Parallel Cellular Multiplier Implemetation in Secure Dual-Rail Adiabatic Logic

—The bit-parallel multiplier over Galois filed arithmetic algorithm and the circuit architecture have been widely studied and implemented in cryptosystem. In this paper, we implement the proposed secure and low-power dual-rail adiabatic logic circuit into the bit-parallel cellular multiplier over GF(2 4). The full custom design of the layout has been designed in cadence virtuoso IC6.1 with the chip size of 172×155 m 2 , and the post-layout cyclical power consumption of 14pJ at 12.5MHz using 0. 18μm CMOS technology has achieved; while, the well-known conventional TDPL logic in our work using the same technology occupied 183×m 2 of the chip size and 123pJ per cycle. The thoroughly investigation results define that our proposed logic improve energy reduction and the circuit immunity to side-channel attack in the low frequency application, whereas, the TDPL shows the better security performance at high frequency range.
Tunable Class AB CMOS Gm-C Filter Based on Quasi-Floating Gate Techniques

A tunable CMOS Gm-C channel-select low-pass filter is presented. Class AB operation overcomes the dynamic range versus static power tradeoff of conventional channel-select filter topologies. Programmable transconductors are designed using quasi-floating gate transistors, which provide class AB operation without requiring extra supply voltage or power requirements and keeping accurately set quiescent currents. The filter can be applied to channel selection in highly integrated, low power zero-IF wireless receivers. For example, its frequency tuning range and linearity makes it suitable for a dual-mode Bluetooth/ZigBee zero-IF receiver. Measurement results for a test chip prototype in a 0.5 μm standard CMOS process are presented, showing a THD <; -55 dB for an input of 1.2 Vpp, which corresponds to peak currents 300% larger than the bias current.
Increased Serum TNF-Alpha and Matrix Metalloproteinase-2 are Associated With Grip Strength Declines and Tissue Degeneration in a Rat Model of Overuse

We have shown that continued performance of repetitive tasks induces grip strength declines despite resolution of systemic inflammation. We hypothesize this is due to underlying tissue degeneration. Here, we assessed long term performance (18 weeks) of a high-repetition, low-force (HRLF) task in a rat model of reaching and grasping. We observed reduced grip strength immediately after training, and persistent grip strength declines in reach limbs of HRLF rats. Several inflammatory cytokines increased in serum of 6- and 12-week HRLF rats, e.g. tumor necrosis factor alpha (TNF-alpha). TNF- alpha was also increased in reach limb muscles and tendons at similar time points. A serum analyte of collagen degradation (matrix metalloproteinase-2, MMP2) was increased in serum of 18-week HRLF rats. MMP2 and several other MMPs, as well as two fibrogenic proteins (CTGF and TGFB1), were increased in 18-week HRLF tendons, which also showed histological signs of pathology. Thus, motor declines were associated earlier with tissue inflammation but later with tendon degenerative changes. Assaying for TNF- alpha and MMP2 provided important insights into the stages of inflammation and degradation in this model.
Access control enforcement delegation for information-centric networking architectures

Information is the building block of Information Centric Networks (ICNs). Access control policies limit information dissemination to authorized entities only. Defining access control policies in an ICN is a non-trivial task as an information item may exist in multiple copies dispersed in various network locations, including caches and content replication servers. In this paper we propose an access control enforcement delegation scheme which enables the purveyor of an information item to evaluate a request against an access control policy, without having access to the requestor credentials nor to the actual definition of the policy. Such an approach has multiple merits: it enables the interoperability of various stakeholders, it protects user identity and it can set the basis for a privacy preserving mechanism. An implementation of our scheme supports its feasibility.
Antireflective surface patterned by rolling mask lithography

A growing number of commercial products such as displays, solar panels, light emitting diodes (LEDs and OLEDs), automotive and architectural glass are driving demand for glass with high performance surfaces that offer anti-reflective, self-cleaning, and other advanced functions. State-of-the-art coatings do not meet the desired performance characteristics or cannot be applied over large areas in a cost-effective manner. “Rolling Mask Lithography” (RML™) enables highresolution lithographic nano-patterning over large-areas at low-cost and high-throughput. RML is a photolithographic process performed using ultraviolet (UV) illumination transmitted through a soft cylindrical mask as it rolls across a substrate. Subsequent transfer of photoresist patterns into the substrate is achieved using an etching process, which creates a nanostructured surface. The current generation exposure tool is capable of patterning one-meter long substrates with a width of 300 mm. High-throughput and low-cost are achieved using continuous exposure of the resist by the cylindrical photomask. Here, we report on significant improvements in the application of RML™ to fabricate anti-reflective surfaces. Briefly, an optical surface can be made antireflective by “texturing” it with a nano-scale pattern to reduce the discontinuity in the index of refraction between the air and the bulk optical material. An array of cones, similar to the structure of a moth’s eye, performs this way. Substrates are patterned using RML™ and etched to produce an array of cones with an aspect ratio of 3:1, which decreases the reflectivity below 0.1%.
Association of air pollution with daily GP consultations for asthma and other lower respiratory conditions in London

BACKGROUND Very few published studies have looked at the effects of air pollution on health in the primary care setting. As part of a large study to examine the association between air pollution and a number of health outcomes, the relationship between daily GP consultations for asthma and other lower respiratory diseases (LRD) and air pollution in London was investigated. METHODS Time-series analysis of daily numbers of GP consultations controlling for time trends, seasonal factors, day of week cycles, influenza, weather, pollen levels, and serial correlation was performed. Consultation data were available from between 268 718 and 295 740 registered patients from 45–47 London practices contributing to the General Practice Research Database during 1992–4. RESULTS Positive associations, weakly significant and consistent across lags, were observed between asthma consultations and nitrogen dioxide (NO2) and carbon monoxide (CO) in children and particulate matter of less than 10 μm in diameter (PM10) in adults, and between other LRD consultations and sulphur dioxide (SO2) in children. A consistently negative association with ozone in children was observed in both disease categories. The effect estimates of most pollutants were much larger when analysed separately by season, particularly in the children: percentage change in asthma consultations during the warm season (April-September) for a 10–90th percentile increase in 24 hour NO2 lagged by one day = 13.2% (95% CI 5.6 to 21.3), with CO = 11.4% (95% CI 3.3 to 20.0), and with SO2 = 9.0% (95% CI 2.2 to 16.2). In adults the only association consistent over different lag periods was with PM10 = 9.2% (3.7 to 15.1). The associations of pollution and consultations for LRD were increased mainly in the winter months: percentage change in consultations by children in winter with NO2 = 7.2% (95% CI 2.8 to 11.6), CO = 6.2% (95% CI 2.3 to 10.2), and SO2 = 5.8% (95% CI 1.6 to 10.2). CONCLUSIONS There are associations between air pollution and daily consultations for asthma and other lower respiratory disease in London. The most significant associations were observed in children and the most important pollutants were NO2, CO, and SO2. In adults the only consistent association was with PM10.
Terahertz pulse generation and detection with LT-GaAs photoconductive antenna

The characteristics of optically induced teraherz (THz) radiation from a biased low-temperature-grown GaAs (LT-GaAs) photoconductive antenna were investigated using a femtosecond Ti:sapphire laser. The THz pulse radiation from two different LT-GaAs photoconductive antennas were compared and two kinds of THz waveform were observed. Saturation behaviour of the emission of THz radiation is observed by using a CW laser diode to optically pre-bias the emitter antenna.
Signaling from Polyomavirus Middle T and Small T Defines Different Roles for Protein Phosphatase 2A

ABSTRACT Polyomavirus causes a broad spectrum of tumors as the result of the action of its early proteins. This work compares signaling from middle T antigen (MT), the major transforming protein, to that from small T antigen (ST). The abilities of MT mutants to promote cell cycle progression in serum-starved NIH 3T3 cells were compared. Transformation-defective mutants lacking association with SHC or with phosphatidylinositol 3-kinase (PI3-K) retained the ability to induce DNA synthesis as measured by bromodeoxyuridine incorporation. Only when both interactions were lost in the Y250F/Y315F double mutant was MT inactive. ST promoted cell cycle progression in a manner dependent on its binding of protein phosphatase 2A (PP2A). Since the Y250F/Y315F MT mutant was wild type for PP2A binding yet unable to promote cell cycle progression, while ST was capable of promoting cell cycle progression, these experiments revealed a functional difference in MT and ST signaling via PP2A. Assays testing the abilities of MT and ST to induce the c-fos promoter and to activate c-jun kinase led to the same conclusion. ST, but not Y250F/Y315F MT, was able to activate the c-fos promoter through its interaction with PP2A. In contrast, MT, but not ST, was able to activate c-jun kinase by virtue of its interaction with PP2A.
Kinematic control of nonholonomic mobile manipulators in the presence of steering wheels

We consider the kinematic control problem for nonholonomic mobile manipulators (NMMs) whose base contains steering wheels. For all typical tasks, the steering velocity inputs of such systems do not appear in the differential relationship between the first-order time derivative of the task output and the available NMM inputs. As a consequence, these inputs are not used by velocity-level control laws based on simple (pseudo)inversion of the task Jacobian, leading in general to the impossibility of completing the task. We propose two control solutions to this open problem based on the framework of input-output feedback linearization. First, a static feedback law is presented that defines the unspecified steering velocities via an optimization action in the null space of the task Jacobian. A dynamic feedback law is then proposed based on the input-output differential map obtained by considering the task acceleration. In this case, the velocity of the steering wheels becomes an active input for task execution, together with the manipulator joint accelerations and the driving accelerations of the base. The feasibility and performance of the two kinematic controllers are compared in simulation for a car-like base carrying a planar manipulator.
Dealing with time-series data in Predictive Maintenance problems

In this paper an approach to deal with Predictive Maintenance (PdM) problems with time-series data is discussed. PdM is a important approach to tackle maintenance and it is gaining an increasing attention in advanced manufacturing to minimize scrap materials, downtime, and associated costs. PdM approaches are generally based on Machine Learning tools that require the availability of historical process and maintenance data. Given the exponential growth in data logging in modern equipment, time series dataset are increasingly available in PdM applications. To exploit time series data for PdM, a functional learning methodology, namely Supervised Aggregative Feature Extraction (SAFE), is here employed on a semiconductor manufacturing maintenance problem.
The Zebrafish Anillin-eGFP Reporter Marks Late Dividing Retinal Precursors and Stem Cells Entering Neuronal Lineages

Monitoring cycling behaviours of stem and somatic cells in the living animal is a powerful tool to better understand tissue development and homeostasis. The tg(anillin:anillin-eGFP) transgenic line carries the full-length zebrafish F-actin binding protein Anillin fused to eGFP from a bacterial artificial chromosome (BAC) containing Anillin cis-regulatory sequences. Here we report the suitability of the Anillin-eGFP reporter as a direct indicator of cycling cells in the late embryonic and post-embryonic retina. We show that combining the anillin:anillin-eGFP with other transgenes such as ptf1a:dsRed and atoh7:gap-RFP allows obtaining spatial and temporal resolution of the mitotic potentials of specific retinal cell populations. This is exemplified by the analysis of the origin of the previously reported apically and non-apically dividing late committed precursors of the photoreceptor and horizontal cell layers.
Characteristics of weaving parameters in microcapsule fabrics and their influence on loading capability

This paper proposes a weaving design method to optimize the loading capability of microcapsule fabrics of yarns and fabrics, with moxa oil. A complex coacervation method was employed to prepare the moxa oil microcapsules by using gelatin-Arabic gum as wall material. The methods of orthogonal experimental design and analysis of range were used. The woven structure, weft yarn density, and weft yarn count were determined as the most important factors affecting the moxa oil content of microcapsule fabrics. Nine fabric specimens with respect to L9 (34) orthogonal design were woven and treated with a moxa oil microcapsule. By the experiment results, the woven structure was found to be the factor that has the most significant effect on the microcapsule content of woven fabrics. In addition, the optimum fabric configuration satisfying the maximum content of the moxa oil microcapsule was determined as A3B1C3, which corresponds to a honeycomb structure of woven structure, 230 no./10 cm of weft yarn density and 10s of weft yarn count.
A New Method for Generating Gaussian Random Variates With Clarke's Autocorrelation

We present a new method for efficient and accurate generation of a discrete-time series of N complex Gaussian random variates with Clarke's autocorrelation. When the product fDN is small (fD is the Doppler frequency normalized with respect to the sampling frequency), the proposed method provides variates with accurate autocorrelation over the full lag range at computational complexity equal to that of the well-known inverse discrete Fourier transform method. In addition, the new method is a better practical alternative to the optimum Karhunen-Loève expansion, particularly for large N values.
Diffusion Tensor Imaging-Based Thalamic Segmentation in Deep Brain Stimulation for Chronic Pain Conditions

Background/Aims: Thalamic deep brain stimulation (DBS) for the treatment of medically refractory pain has largely been abandoned on account of its inconsistent and oftentimes poor efficacy. Our aim here was to use diffusion tensor imaging (DTI)-based segmentation to assess the internal thalamic nuclei of patients who have undergone thalamic DBS for intractable pain and retrospectively correlate lead position with clinical outcome. Methods: DTI-based segmentation was performed on 5 patients who underwent sensory thalamus DBS for chronic pain. Postoperative computed tomography images obtained for electrode placement were fused with preoperative magnetic resonance images that had undergone DTI-based thalamic segmentation. Sensory thalamus maps of 4 patients were analyzed for lead positioning and interpatient variability. Results: Four patients who experienced significant pain relief following DBS demonstrated contact positions within the DTI-determined sensory thalamus or in its vicinity, whereas 1 patient who did not respond to stimulation did not. Only 4 voxels (2%) within the sensory thalamus were mutually shared among patients; 108 voxels (58%) were uniquely represented. Conclusions: DTI-based segmentation of the thalamus can be used to confirm thalamic lead placement relative to the sensory thalamus and may serve as a useful tool to guide thalamic DBS electrode implantation in the future.
An Integrated PLC Smart Home System in Pervasive Computing

Smart Home System (SHS) is an important application in pervasive computing. It makes household electrical appliances and other information equipments connect with each other, and it also provides a service with high abundant, personalized, convenient, safe and efficient through the network. This paper puts forward an integrated solution of Smart Home System in Pervasive Computing Environments, which is designed by OSGi and power-line communication (PLC). It makes people perceives obtain all the information necessary whenever and wherever by various intelligent equipments. In accordance with the result of pervasive computing to show human requirement, it implements the computing result to all kinds of devices being controlled in Smart Home system through power line carrier communication. And the management process is flexible and convenient. Our goal is to harmonize the relationship between the man and the household environment.
An On-Vehicle Dual-Antenna Handover Scheme for High-Speed Railway Distributed Antenna System

Distributed antenna technology, as one of the important next-generation wireless communication technologies, has aroused extensive attention. The technology has been applied in high-speed movement environment. Due to the high density coverage of distributed antennas, almost anywhere in the area has line-of-sight (LOS) to reach at least one fixed antenna. However it may correspondingly result in smaller overlap between adjacent cells and higher probability of handover failure in high-speed movement scenario. In order to solve these problems, this paper proposes a novel handover scheme based on on-vehicle dual-antenna for high-speed railway distributed antenna system (DAS). On-vehicle antennas which collaborate each other, are mounted on the top of high-speed train (the one is in the front-end and the other is in the rear-end). The proposed scheme utilizes distributed transceivers and centralized processing technology. The numerical analysis results show that the novel scheme can pre-trigger handover appropriately, guarantee the higher handover success rate, and increase the system throughput by around 50%. In addition, the scheme is feasible and easy to be implemented.