Miracle-dz/UniFAR-FTUs huggingface dataset:
Compressive sensing sparse sampling method based on principal component analysis

The rapid development of aerospace has increased the technical requirements for aerospace structures. Structural health monitoring technology, including monitoring, detection and identification of structures, has become a key technology to detect the structural safety performance of aerospace structures. The early detection techniques were limited by the structure and performance requirements of the examined materials. Therefore, the detection of complex components is very difficult. Ultrasonic phased array technology uses multi-element transducer with different shapes, can improve the shortage of the early detection technology and realize the detection of the inspected structure with high-speed, omnidirectional and multi angle. However, due to the omnidirectional and multi angle characteristics of ultrasonic phased array technology, the amount of information obtained by scanning will be enormous, and will increase the difficulty of information processing. As a result, effective processing method of large amounts of information is critical. Compressive sensing theory pointed out that only when the signal is sparse in the time domain or a transform domain, the signal can be sampled with the sampling rate much less than the sampling rate of traditional Nyquist sampling theorem, and reconstructed with high probability. That is, the sparsity of signal is the precondition of compressive sensing. Most of signal is not sparse in natural society, but can be expressed as sparse form by some kind of sparse transformation. Commonly used sparse transform, such as Discrete Fourier Transform, Discrete Cosine Transform, and so on, will lose some information after sparse transformation, because these transform bases used in the transformation are generally fixed. However, using principal component analysis method for data reduction, the new variable with low dimension which is linear correlation with the original variable is selected to instead of the original variable with high dimension for the data reduction. So that the useful data of the original signal can be included in the sparse signal after dimensionality reduction with maximize portability. Therefore, the signal after sparse representation can reduce the loss of data as much as possible, and is conducive to improve the efficiency of signal reconstruction. Finally, the composite material plate was used for the experimental verification. The experimental result shows that the sparse representation of signal based on principal component analysis can reduce signal distortion and improve signal reconstruction efficiency.
Studies of the non-ionizing radiation hardness and temperature dependence of Silicon Photomultipliers for the LHCb Tracker Upgrade

This thesis presents a study of the temperature dependence and changes due to radiation e ects of the performance of Hamamatsu S12571 Silicon Photomultipliers (SiPMs). A setup to control the operation temperature of the photon detectors is designed and is used for the characterization of the detectors mainly by means of dark current and dark count rate. The results from the temperature dependence are in agreement with the stated values from the production company. Both dark current and dark count rate decrease by approximately a factor of 2 for a temperature decrease of 10 ◦C. The e ects of non-ionizing radiation damage on the SiPMs are studied with two di erent neutron sources, namely an AmBe source and the TRIGA Mark II reactor in Mainz and a proton beam facility. The neutron sources have been calibrated with reference measurements, exploiting two complimentary techniques. For general comparison, the ux is normalized to the displacement damage of 1 MeV neutrons, neq. The delivered dose of the two neutron sources ranges from 9.8× 1010 neq cm−2 in the AmBe source to 1.9× 1012 neq cm−2 in the reactor in Mainz. Therefore, it is exceeding the expected lifetime dose in the LHCb experiment by 50%. One SiPM has been irradiated using a 100 MeV proton beam, with a delivered dose of 1.75× 1012 neq cm−2. The dark current at a given temperature is found to increase linearly with the delivered dose. After radiation, with a dose of 1.5× 1011 neq cm−2, the dark count rate at −30 ◦C exceeds 40 MHz. Studies of thermal annealing have shown, that it is an e ective way to reduce radiation damages in the SiPMs.
Single High Aspect Ratio Pillar Support Structures

We present the realization of a novel processing technique for creating three dimensional structures in single crystal silicon. The structures consist of differently shaped silicon dioxide platforms supported by a single high aspect ratio pillar support (SHARPS), Fig. 2. The SHARPS have controllable geometry and diameters down to half of a micron. We utilize the SHARPS to better understand the micromechanics at the micron size scale, as well as inspiration for new device architectures. We exploit the microscale conformance of the SHARPS structures to create an integrated multi-scale adhesive mimicking a common adhesive motif found in nature.
Antibody Therapeutic The SWOT Analysis of Antibody Therapeutics in China

The total global sales of therapeutic monoclonal antibodies in 2008 reached $31.9 B, an impressive 21% growth from the previous year. It is estimated that the revenue for antibody therapeutics will reach $60 B by 2014. Monoclonal antibodies have become a major drug class of high commercial importance and account for more than 30% of the worldwide sales of biologic drugs. The majority (90%) of antibody drug revenue comes from the treatment of cancers and autoimmune diseases. Research and development activity related to monoclonal antibodies has intensified and the number of candidate drugs gaining regulatory approval is likely to rise exponentially. Rising cancer prevalence, as well as the current low market penetration of monoclonal antibody therapies for patients with autoimmune disorders, further drives the demand for antibody therapies. Despite the inevitably increased competition for antibody targets, pricing pressure and patent expiration on high-revenue monoclonal antibodies, monoclonal antibody therapies are undoubtedly on the rise and look set to play a greater role in the global healthcare in the future, especially in cancer therapy and autoimmune disorders. There will be significant opportunities in the therapeutic monoclonal antibody market in China over the next 20 years. Currently only 0.3% of total pharmaceutical revenues in China is generated by antibody drugs compared with 4% in the international markets. Both the Chinese pharmaceutical industry and the Chinese government are fully aware of the economic impact and healthcare benefits of monoclonal antibody therapies. While most of the candidate drugs in the industry pipelines are biosimilars, novel antibodies that can demonstrate clinical superiority over existing treatments fill an unmet medical need for certain diseases or offer improved administration methods and are likely to become the monoclonal antibody blockbusters of the future. These drugs should gain commercial success in a dynamic market that is increasingly oriented towards proven cost-effectiveness and superiority over existing therapies.
The harmful use of alcohol amongst Indigenous Australians

Alcohol is the most widely used psychoactive drug in Australia. The 2007 National Drug Strategy Household Survey (NDSHS) estimated that 82.9% of Australians aged over 14 years, had consumed alcohol in the previous 12 months, with only 10.1% having never consumed at least one standard drink of alcohol [1]. The NDSHS also found that 20.4% of Australians (23.7% of males and 17.2% females) consumed alcohol at risky or high risk levels according to the 2001 Australian Alcohol Guidelines [1, 2].
Truly Distributed Optical Fiber Sensors for Structural HealthMonitoring : From the Telecommunication Optical Fiber Drawling Tower toWater Leakage Detection in Dikes and Concrete Structure

Although optical fiber sensors have been developed for 30 years, there is a gap between lab experiments and field applications. This article focuses on specific methods developed to evaluate the whole sensing chain, with an emphasis on (i) commerciallyavailable optoelectronic instruments and (ii) sensing cable. A number of additional considerations for a successful pairing of these two must be taken into account for successful field applications. These considerations are further developed within this article and illustrated with practical applications of water leakage detection in dikes and concrete structures monitoring, making use of distributed temperature and strain sensing based on Rayleigh, Raman, and Brillouin scattering in optical fibers. They include an adequate choice of working wavelengths, dedicated localization processes, choices of connector type, and further include a useful selection of traditional reference sensors to be installed nearby the optical fiber sensors, as well as temperature compensation in case of strain sensing.
The Effect of Agricultural Development on Poverty Reduction in Southeast Sulawesi Province Yohanes Boni

Efforts to eradicate poverty continue to be done by the government and various parties who have concerns about the problem of poverty. However, these efforts have not shown results as expected, marked by high levels of poverty.This research was conducted with the aim to identify the impact of agricultural development on the reduction of rural poverty in Southeast Sulawesi. The study was conducted on four districts in Southeast Sulawesi namely Muna, Konawe, South Konawe and Buton. Using a subjective approach to agricultural farming, and poverty alleviation, formulated questionnaires based on indicators that have been used in previous research. A total of 500 questionnaires were distributed with 309 returns and 250 were eligible for analysis. Results of the study appear in descriptive then using each construct Factor Analysis Confirmation been four indicators each variable included in the structural analysis to test the hypothesis of the research that has been ditetukan. Descriptive analysis showed that the poverty rate is still considered high, while the development of agriculture is deemed most appropriate to alleviate rural poverty in the Southeast. The result of path analysis shows that the structural model used in accordance with the data found weighted standardized regression from agricultural development constructs to poverty alleviation (0.94). This shows the strong influence of agricultural development on rural poverty alleviation in the Southeast. The implications of the findings of this research is the most effective agricultural development and the starting point in alleviating rural poverty is the development of rural agricultural infrastructure and human resource pembangunaan farmers through the construction of roads, bridges, piers, ponds, penyuluhanagricultural extension and training the use of appropriate technology. The study's findings could be an opportunity for further research to compare the subjective approach used in this study with an objective approach that has been used by researchers Indonesia. In addition, research can be conducted over a long period of time to observe the dynamics of agricultural development, and the state of rural poverty.
Conditioned suppression in a virtual environment q

0747-5632/$ see front matter 2012 Elsevier Ltd. All rights reserved. http://dx.doi. org/10.1016/j.chb. 2012.11. 016 q This research was supported by a grant from the BIAL Foundation (106/10). Please contact the corresponding author for further technical details about the video game employed in the present study. ⇑ Corresponding author. Tel. : +44 1792 295602; fax: +44 1792 295679. E-mail address: s.o. dymond@swansea.ac. uk (S. Dymond). W. James Greville , Philip M. Newton , Bryan Roche , Simon Dymond a,⇑
Supporting energy-awareness for cloud users

Cloud datacenters consume large amounts of energy and it becomes necessary to reduce their consumption due to current climate changes. Although energy optimization propositions exist, they do not take into account end-users. This thesis proposes to include cloud users in the energy optimization as a means to reduce datacenters energy consumption. The inclusion is done, first, by delivering energy related information to raise awareness, and second, by providing means of actions. Contributions are located at IaaS and PaaS cloud layers. Our results show that users tolerant to performance variation (e.g. delay in obtaining execution results) allow to reduce datacenters energy consumption.
Development of a fast simulation tool for vertexing studies in ALICE

The measurement of open heavy flavour hadrons plays a key role in the physics program of the ALICE experiment. For the heavy flavour analysis it is crucial to determine primary and secondary vertices with high precision. For this a new version of the KFParticle vertexing package, that provides powerful tools for these challenges, is tested. In order to verify the algorithmic implementation of the code, a Unit Test has been developed. To have full control over the input of the test, a fast simulation tool is implemented. Different observables of the decay D0 → π+K− and their charge conjugates are studied. The results are compared to other vertexing packages. To verify the fast simulation the same tests were repeated on full simulation and the results compared. The recalculation of the primary vertex with different functionalities is investigated. Zusammenfassung Die Messung von Hadronen, die Charm und Beauty Quarks enthalten, spielt eine wichtige Rolle im Programm des ALICE Experiments. Für die Analyse dieser Messungen ist es entscheidend primäre und sekundäre Vertizes mit hoher Präzission zu messen. Hierfür wird eine neue Version des KFParticle Vertexing Paketes getestet, das mächtige Funktionen für diese Aufgaben bereitstellt. Um die Implementation des Algorithmus zu verifizieren, wurde ein Unit Test entwickelt und eine Fast Simulation implementiert, die es ermöglicht Kontrolle über den Input zu erhalten. Verschiedene Observable des Zerfalls D0 → π+K− werden untersucht und mit anderen Vertexing Paketen verglichen. Um die Fast Simulation zu verifizieren werden die selben Tests in einer vollen Simulation durchgeführt und die Resultate verglichen. Die Berechnung des primären Vertex wird mit verschiedenen Funktionen untersucht.
Chikungunya Fever : Biology and Epidemiological Aspects

Epidemiological Aspects Regina Fini1,2; Isabel Cristina dos Santos Marques2; Danilo Oliveira Carvalho2; Michelle Cristine Pedrosa1,2; Helena Corrêa de Araújo2; Macarena Fernanda Lopez Cáceres1,2; Margareth L. Capurro1,2,3* 1Interunits in Biotechnology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil. 2Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil. 3The National Institute of Science and Technology (INCT-EM), Rio de Janeiro, RJ, Brazil.
Screening for cervical cancer---An exploratory study of urban women in Tamil Nadu, India

Cervical cancer is the single most common cancer in India, affecting an estimated 134,420 women in 2008. With access to early detection and basic treatments, most cases of cervical cancer are preventable. Moreover, if treatment is administered during the earliest stages of cervical cancer, 5-year survival rates can be increased to higher than 90 percent. Unfortunately, despite the availability of methods for prevention, more than 95 percent of women in India have never been screened for cervical cancer. Consequently, women in India are most often diagnosed during later stages of cervical cancer, significantly reducing survival prognosis. The objective of this study was to explore the role of awareness and knowledge of cervical cancer as a barrier to screening participation among urban women in Tamil Nadu; and further to identify the potential impact of increased cervical cancer awareness and knowledge on screening attitude. Quantitative and qualitative methods were used to characterize existing levels of awareness and knowledge of cervical cancer and screening among 207 women from the metropolitan area of Chennai. The results suggest that the majority of women (69.6%) were not aware of cervical cancer and very few (16.4%) were aware of screening. Demographically, women with secondary levels of education or higher were significantly more likely to have heard of cervical cancer and screening. Of the women that were aware of cervical cancer screening, most reported receiving information through television (33%) or a healthcare provider (28.6%). To describe the potential benefit of providing women with basic information about the secondary prevention of cervical cancer, levels of knowledge, measured before and after an educational session, were compared. This study further explored changes in associations between awareness, knowledge, perceived susceptibility, and screening attitude. It was observed that an overwhelming majority of women were receptive to participating in free cervical cancer screening, independent of previous knowledge of
Design and Performance Analysis of Inexact-Speculative Han Carlson Adder

Low power and high speed design is one of the important building blocks in digital circuits. In conventional Inexact speculative adder based on Carry look-ahead adder to consume more power issues and longest critical path delay. In this paper, Han Carlson adder based design of the proposed ISA architecture which is fine grain pipelined because to increase the processing speed and reduces the complexity, silicon area and power consumption. Additionally this architecture has been clock gated giving rise to dynamic power reduction opportunity. Functional verification and synthesis of suggested ISA is carried out on 45nm CMOS technology by using Tanner EDA tool.
Research on obstacle detection and location of indoor robot based on LIDAR

Obstacle detection and location are the key points of path planning and autonomous walking of indoor robot. Laser radar is one of the best sensors for robot to perceive the external environment. In this paper, we studies single-line laser radar to acquire point cloud data, establishes a 2D indoor environment map and achieves the location of indoor robot. And we establish a new point cloud data clustering model which is based on adaptive threshold to detect obstacle on the path. The experiment is based on single-line laser radar, and we have established an experimental system for laser detection of obstacles in indoor robots. The experimental results of scanning and imaging typical indoor scenes show that obstacles can be correctly identified by the above algorithms. Therefore, an effective method has been explored for the obstacle detection and location of indoor robots based on radar.
On the Optimality of a Fishery Moratorium ∗

While a moratorium that completely closes an overharvested fishery may best facilitate stock recovery, such a policy can be particularly costly for communities dependent on fish consumption for sustenance, or on fishing and fishing-related industries for income and economic well-being. In this paper, we develop a bioeconomic model to evaluate the optimality of a moratorium when costs to labor and capital are taken into consideration. We apply our model to the ongoing moratorium instituted on the Northern Atlantic cod fishery off the Canadian province of Newfoundland and Labrador beginning in 1992. Under our model and baseline parameter assumptions calibrated to fishery conditions in 1992, we find that the cod moratorium is economically inefficient if the option value of the alternative “business-as-usual” policy to refrain from imposing a moratorium is zero: the costs of annual ex gratia unemployment relief significantly outweigh the benefits of increased revenues from greater sustainable post-moratorium harvests. The cod moratorium may become optimal if (i) the intrinsic growth rate of the Northern cod stock is sufficiently high; (ii) the anticipated future net dockside price of cod is sufficiently high; (iii) the social discount rate is sufficiently low; (iv) the unemployment benefits paid to fishermen during the moratorium are sufficiently low; or (v) the option value of a “business-as-usual” no moratorium policy is severely negative, possibly owing to the risk of potential collapse or even extinction of the stock. However, in the baseline scenario, when compared to an alternative “business-as-usual” policy of value zero, the cod moratorium remains economically inefficient even with cod prices that vary or are forecast using actual price data from Newfoundland over 1990-2016. JEL Codes: Q22, Q28
Task Migration in S-Net

S-Net is a coordination language designed to simplify parallel programming. It is a language based on streaming networks that has a runtime system running different tasks that either do computations or are directing streams to create parallel structures in such a way that data can flow through the network with minimal delay. The goal of this thesis is to create a framework for the runtime system that is able to migrate tasks. Task and process migration has been a research topic since the eighties, but the difference between this research and the research done in this thesis, is that the runtime system has more information about the program that is executed in the runtime system. The S-Net runtime system knows the structure of the S-Net program and this can be used to decide whether tasks should be migrated or not. This research will look into different strategies to migrate tasks. These strategies will also use some information about the structure of the S-Net program. However, the results show that the new implementation does not perform better than the previous implementation of the S-Net runtime system. For now, the framework created in this research does not rise to the expectations.
CONTROLLED PRODUCTION AND DEGRADATION OF SELECTED BIOMATERIALS

s international congresses: 21. Lichnova A. , Vondrackova H. , Obruca S. , Matouskova P., Haronikova A. , Marova I. Comparison of hydrolytic effect of so me yeast and fungal extracellular enzymes to cereal waste substrates: a preliminary study. 38 Annual Conference on Yeasts. Smolenice, Slovakia, Book of Abstracts, 2010, 92 p. ISSN 1336-4839. 22. Obruca S. , Marova I. , Melusova S. , Ondruska V. Production of polyesterbased bioplastics by Bacillus megaterium grown on waste cheese whey substrate under exogenous stress. N w Biotechnology, 2009, vol. 25, s257 p. ISSN 18716784. 23. Obruca S. , Marova I. , Vojtova L. , David J., Ondruska V. , Bab ak L. Bacterial degradation of modified polyurethane foam s: comparison of single and mixed culture . The 3 International Meeting of Environmental Biotechnology and Engineering . Spain, Palma de Mallorka, Book of Abstracts, 2009. 74 p. ISBN 978-84-692-49482. 24. Obruca S. , Marova I. , Parilova K. , Muller L. , Zdrahal Z. , Mi kulikova R. Analysis of Active substances in "Czech Beer" . The 8th Balaton Symposium on High-Performance Separation Method and the 15th International Symposium on Separation Science . Siofok, Hungary, Book of Abstracts, 2009. 204 p. ISBN 978-963-06-78780. 25. Ondruska V. , Marova I. , Koci R. , Obruca S. Isolation and analysis of polysacharide pullulan produced by immobilized yeas tlike strain Aureobasidium pullulans . 14 International Symposium on Separation Science. Primošten, Croatia, New Achievements in Chromatogra phy, 2008, 88 p. ISBN 978-953-6894-369 26. Obruca S. , Marova I. , Melusova S. , Svoboda Z. Polyhydroxyalk anoate accumulation in selected bacterial strains under ex og nous stress conditions. 3 FEMS Congress of European Microbiologists. Gothenburg, Sweden, Book of Abstracts, 2009. 27. Obruca S. , Marova I. , Vojtova L. Biodegradation of modified polyurethane foams by selected fungal strains. 3 rd FEMS Congress of