Miracle-dz/UniFAR-FTUs huggingface dataset:
Frequency Locking of a 3.5 Thz Quantum Cascade Laser Using a Gas Cell

We report a frequency locking experiment of a 3.5 THz third-order distributed feedback quantum cascade laser (QCL) by using a molecular absorption line of methanol (CH3OH) gas. With the help of the absorption line, the frequency noise of the QCL is transformed into measurable amplitude fluctuation. We first present the study of the noise of the THz QCL with the contribution from both the frequency and amplitude domain, by using a NbN superconducting hot-electron bolometer as a power detector. We then present the frequency locking measurement with a lock-in amplifier registering the derivate curve of the absorption line and a proportional-integral-derivative (PID) controller generating the feedback signal. The linewidth of the QCL in the free-running mode was found to be around 900 KHz. This linewidth is reduced to below 17 KHz (full width at half maximum) with a Gaussian-like shape when the control loop is active. Because of the frequency stabilization the noise power spectral density of the QCL shows a reduction of more than 20 dB at frequencies below 30 Hz.
Predicting financial distress of companies listed on the JSE - A comparison of techniques

In 2006, Steyn-Bruwer and Hamman highlighted several deficiencies in previous research which investigated the prediction of corporate failure (or financial distress) of companies. In their research, Steyn-Bruwer and Hamman made use of the population of companies for the period under review and not only a sample of bankrupt versus successful companies. Here the sample of bankrupt versus successful companies is considered as two extremes on the continuum of financial condition, while the population is considered as the entire continuum of financial condition. The main objective of this research, which was based on the above-mentioned authors’ work, was to test whether some modelling techniques would in fact provide better prediction accuracies than other modelling techniques. The different modelling techniques considered were: Multiple discriminant analysis (MDA), Recursive partitioning (RP), Logit analysis (LA) and Neural networks (NN). From the literature survey it was evident that existing literature did not readily consider the number of Type I and Type II errors made. As such, this study introduces a novel concept (not seen in other research) called the “Normalised Cost of Failure” (NCF) which takes cognisance of the fact that a Type I error typically costs 20 to 38 times that of a Type II error. In terms of the main research objective, the results show that different analysis techniques definitely produce different predictive accuracies. Here, the MDA and RP techniques correctly predict the most “failed” companies, and consequently have the lowest NCF; while the LA and NN techniques provide the best overall predictive accuracy.
FDTD analysis for radiated performance of a cylinder plasma antenna

To analyze a dielectric medium encapsulation, round cylinder monopole plasma antenna which is more practicable and applicable, the finite-difference time-domain (FDTD) method is implemented. Influences of operating frequency and dielectric tube permittivity on the far-field antenna radiation intensity are investigated and evaluated. Numerical results indicate that the radiated power plays as a function of the dielectric constant of outside tube. Optimal value combination of several parameters should be concerned for attaining the most powerful radiated performance.
Market-based Resource Allocation for Grid Computing: A Model and Simulation

Resource allocation is an important aspect of Grid computing. One approach uses market mechanisms to allocate resources. In this paper, we review the literature on market-based resource allocation for Grid computing classifying approaches as modelor state-based and pre-emptive or non-pre-emptive. Many of the existing market-based approaches take it for granted that markets are an improvement. We investigate under which circumstances marketbased resource allocation by continuous double auctions and by the proportional share protocol, respectively, outperforms a conventional round-robin approach. To answer this question, we develop and justify a model for clients, servers and the market, and present simulation results. The factors which are studied include the amount of load in the system, the number of resources, different degrees of resource heterogeneity, and communication delays.
New Robust Video Watermarking Techniques Based on Enhanced 2D Hadamard Error Correcting Code and Discrete Wavelet Transform

—This paper presents a new approach for watermarking of digital video providing robustness against MPEG compression. The initial video is decomposed by one-dimensional 2 Level Wavelet Transform. The low pass filtered LL video stream is used for embedding the procedure. Every frame of this sequence undergoes a 16x16 block wise DCT before the embedding procedure is applied on selected coefficients of the spectrum. The embedding algorithm itself is realized by spread spectrum techniques. The watermark bits are substituted by a set of 16 basis images of 3D-Hadamard Transform of the block size 8x8. Instead of embedding 1 or 0 of the watermark the corresponding pattern of basis images are embedded by spread spectrum routine into the selected coefficients of DCT spectrum. The experimental results show that this method seems to be very robust against MPEG compression, adding noise and obtaining low degradation of the host sequence
Graph-based comparison of Executable Objects ( English Version )

Résumé A method to construct an optimal isomorphism between the sets of instructions, sets of basic blocks and sets of functions in two differing but similar executables is presented. This isomorphism can be used for porting recovered information between different disassemblies, recover changes made by security updates and detect code theft. The most interesting applications in the realm of security are in malware analysis where the analysis of a family of trojans or viruses can be reduced to analyzing the differences between the variants, and in recovering the details of fixed vulnerabilities when the vendor of the security patch refuses to disclose details. A framework implementing the described methods is presented, along with empirical data about it’s performance when analyzing multiple variants of the same malware and recovering vulnerability details from security updates.
Raman Amplification Properties of Photonic Crystal Fibers

In this paper, we address Raman amplification properties of photonic crystal fibers (PCFs), by incorporating an efficient full-vectorial finite element method combined with Runge-Kutta equations. The effect of the structural parameter's variations on the performance of the PCF based Raman amplifier (PCFRA) is extensively studied. Maximum gain of 9 dB and the lowest double Rayleigh backscattering of −53 dB can be obtained for the PCFRA with the lowest loss of 0.37 dB/km at 1.55 μm wavelength.
Hsp70 Oligomerization Is Mediated by an Interaction between the Interdomain Linker and the Substrate-Binding Domain

Oligomerization in the heat shock protein (Hsp) 70 family has been extensively documented both in vitro and in vivo, although the mechanism, the identity of the specific protein regions involved and the physiological relevance of this process are still unclear. We have studied the oligomeric properties of a series of human Hsp70 variants by means of nanoelectrospray ionization mass spectrometry, optical spectroscopy and quantitative size exclusion chromatography. Our results show that Hsp70 oligomerization takes place through a specific interaction between the interdomain linker of one molecule and the substrate-binding domain of a different molecule, generating dimers and higher-order oligomers. We have found that substrate binding shifts the oligomerization equilibrium towards the accumulation of functional monomeric protein, probably by sequestering the helical lid sub-domain needed to stabilize the chaperone: substrate complex. Taken together, these findings suggest a possible role of chaperone oligomerization as a mechanism for regulating the availability of the active monomeric form of the chaperone and for the control of substrate binding and release.
Structural Change, Wage Formation and Economic Growth in Low-Income Countries

This paper analyzes the effects of structural change on the rates of growth of wages, employment and per-capita income in low-income countries, their dualistic structure shown by a Lewis-type two-sector model. Structural change is measured by the varying shares of sectoral employment in total employment. It is shown that the growth rates of GDP and per-capita income can be formulated as functions of these sectoral employment shares. Distinguishing the phases of dualistic development with and without labour surplus and post-dualistic development, it is demonstrated that each of these stages exhibits different growth dynamics: high but falling growth rates under dualistic development with labour surplus, low but rising growth rates under dualistic development after absorption of the labour surplus, growth rates falling again and converging toward a higher income steady state in the post-dual economy. As the growth dynamics of dualistic development are explained by a modified Lewis model and those of post-dualistic development by the Solow model, the study also highlights the complementary roles both models are playing in development economics.
A Tool for Efficient Content Compilation

We build a tool to assist in content creation by mining the web for information relevant to a given topic. This tool imitates the process of essay writing by humans: searching for topics on the web, selecting content frag-ments from the found document, and then compiling these fragments to obtain a coherent text. The process of writing starts with automated building of a table of content by obtaining the list of key entities for the given topic extracted from web resources such as Wikipedia. Once a table of content is formed, each item forms a seed for web mining. The tool builds a full-featured structured Word document with table of content, section structure, images and captions and web references for all mined text fragments. Two linguistic technologies are employed: for relevance verification, we use similarity computed as a tree similarity between parse trees for a seed and candidate text fragment. For text coherence, we use a measure of agreement between a given and consecutive paragraph by tree kernel learning of their discourse trees. The tool is available at http://animatronica.io/submit.html.
Institutional Change and Globalization

List of Figures ix List of Tables xi Preface xiii CHAPTER ONE Problems of Institutional Analysis 1 CHAPTER TWO The Problem of Change 31 CHAPTER THREE The Problem of Mechanisms 62 CHAPTER FOUR The Problem of Ideas 90 CHAPTER FIVE The Problem of Globalization 124 CHAPTER SIX Where Do W Go from Here? 172 APPENDIX Analysis of Tax Levels and Structures for Country Subgroups 191 References 205 Index 239
pancreatitis Active cathepsins B , L , and S in murine and human

pancreatitis Active cathepsins B, L, and S in murine and human You might find this additional info useful. abnormal function of the gastrointestinal tract, hepatobiliary system, and pancreas. It is published 12 times a year (monthly) by the publishes original articles pertaining to all aspects of research involving normal or AJP-Gastrointestinal and Liver Physiology
Strings in a PP-Wave Background Compactified on T8 with Twisted S1

We study a torus-like compactification of a type IIB maximally supersymmetric PP-wave background. As the most general case, we analyze a T 8 compactification of all the transverse directions. A nontrivial structure of theisometry group requires an additional light-like compactification. This additional S 1 fiber is twisted on T 8 . We determine the spectrum of closed strings in this twisted torus background and compute the thermal partition function.
A Recurrent Neural Filter for Adaptive Noise Cancellation

This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of the Block-Diagonal Recurrent Neural Network. The filter is applied to a benchmark noise cancellation problem, where a comparative analysis with a series of other dynamic models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.
A Simple and Flexible Nonlinearty Approach to Independent Component Analysis

A simple and flexible nonlinearity approach to independent component analysis is presented, which is able to blindly separate mixed super-Gaussian, Gaussian and sub-Gaussian sources. The parameter of the nonlinearity is estimated by representing it as a function of the kurtosis of sources. Further, the stability conditions for the proposed algorithm are analyzed to give a robust algorithm for independent component analysis. We show that this algorithm can interestingly be used to find hidden physiological processes inherent in gene expression experiments
Investigating the use of morphological decomposition and diacritization for improving Arabic LVCSR

One of the challenges related to large vocabulary Arabic speech recognition is the rich morphology nature of Arabic language which leads to both high out-of-vocabulary (OOV) rates and high language model (LM) perplexities. Another challenge is the absence of the short vowels (diacritics) from the Arabic written transcripts which causes a large difference between spoken and written language and thus a weaker connection between the acoustic and language models. In this work, we try to address these two important challenges by introducing both morphological decomposition and diacritization in Arabic language modeling. Finally, we are able to obtain about 3.7% relative reduction in word error rate (WER) with respect to a comparable non-diacritized full-words system running on our test set. Index Terms: speech recognition, morphological decomposition, diacritization, Arabic
Clinical Study Memory Complaints Associated with Seeking Clinical Care

1 Dementia Clinics, Institute of Molecular Medicine and Faculty of Medicine, University of Lisbon, Avenue Prof. Egas Moniz, 1649-028 Lisbon, Portugal 2 Superior Institute of Applied Psychology, Rua Jardim do Tabaco, 34, 1149-041 Lisbon, Portugal 3 Santa Casa da Misericórdia de Lisboa, Largo Trindade Coelho, 1200-470 Lisbon, Portugal 4 Psychiatry Department, Santa Maria Hospital, Avenue Prof. Egas Moniz, 1649-035 Lisbon, Portugal 5 Faculty of Social and Behavioural Sciences, University of Amsterdam, 1018 vz Amsterdam, The Netherlands 6 Laboratory of Language, Institute of Molecular Medicine and Faculty of Medicine, University of Lisbon, Avenue Prof. Egas Moniz, 1649-028 Lisbon, Portugal 7 Laboratory of Neurosciences, Institute of Molecular Medicine and Faculty of Medicine, University of Lisbon, Avenue Prof. Egas Moniz, 1649-028 Lisbon, Portugal
Concatenated error-correcting entropy codes and channel codes

We propose a general class of concatenated error-correcting entropy codes and channel codes. In this way we extend and generalize the existing body of work on iterative decoding of entropy and channel codes. Using the structure and properties of serial concatenated codes, we employ error-correcting entropy codes as the outer code, and a convolutional codes as the inner code. The generalization from entropy codes to redundant entropy codes allows powerful error correction similar to turbo codes. We provide upper bounds for the concatenated entropy code and channel code. We also show that iterative decoding of the proposed concatenated code outperforms iterative decoding of previously reported entropy and channel codes that operate at the same overall rate.
On matching latent to latent fingerprints

This research presents a forensics application of matching two latent fingerprints. In crime scene settings, it is often required to match multiple latent fingerprints. Unlike matching latent with inked or live fingerprints, this research problem is very challenging and requires proper analysis and attention. The contribution of this paper is three fold: (i) a comparative analysis of existing algorithms is presented for this application, (ii) fusion and context switching frameworks are presented to improve the identification performance, and (iii) a multi-latent fingerprint database is prepared. The experiments highlight the need for improved feature extraction and processing methods and exhibit large scope of improvement in this important research problem.
VisAll : A new Tool to Visualise Parallel Execution of Logic

Logic programming allows to explore the full potential of parallelism in the programs in a transparent manner. Several systems were developed to explore the implicit parallelism of logic programs. The development of these systems brings some hard problems such as parallel debugging and dynamic distribution of varied sized work among processors. This paper describes VisAll, a new tool to visualise the parallel execution of logic programs, whose main objective is to help users to develop parallel logic programming systems. VisAll can visualise several kinds of parallelism including or-parallelism, independent and-parallelism, and combinations of both. The system is modular and reasonably exible in order to be able to visualise a great spectrum of parallel logic programming systems VisAll allows users or system developers to modify or add new trace formats, deene the visualisation of new forms of parallelism, and deene the icons associated to each trace event.
The salient characteristics of the central effects of acupuncture needling: Limbic‐paralimbic‐neocortical network modulation

Human and animal studies suggest that acupuncture produces many beneficial effects through the central nervous system. However, the neural substrates of acupuncture actions are not completely clear to date. fMRI studies at Hegu (LI4) and Zusanli (ST36) indicated that the limbic system may play an important role for acupuncture effects. To test if this finding applies to other major classical acupoints, fMRI was performed on 10 healthy adults during manual acupuncture at Taichong (LV3), Xingjian (LV2), Neiting (ST44), and a sham point on the dorsum of the left foot. Although certain differences could be observed between real and sham points, the hemodynamic response (BOLD signal changes) and psychophysical response (sensory experience) to acupuncture were generally similar for all four points. Acupuncture produced extensive deactivation of the limbic‐paralimbic‐neocortical system. Clusters of deactivated regions were seen in the medial prefrontal cortex (frontal pole, pregenual cingulate), the temporal lobe (amygdala, hippocampus, and parahippocampus) and the posterior medial cortex (precuneus, posterior cingulate). The sensorimotor cortices (somatosensory cortices, supplementary motor cortex), thalamus and occasional paralimbic structures such as the insula and anterior middle cingulate cortex showed activation. Our results provide additional evidence in support of previous reports that acupuncture modulates the limbic‐paralimbic‐neocortical network. We hypothesize that acupuncture may mediate its antipain, antianxiety, and other therapeutic effects via this intrinsic neural circuit that plays a central role in the affective and cognitive dimensions of pain as well as in the regulation and integration of emotion, memory processing, autonomic, endocrine, immunological, and sensorimotor functions. Hum Brain Mapp, 2009. © 2008 Wiley‐Liss, Inc.
A Feature-Based Gender Recognition Method Based on Color Information

In the paper, we proposed a gender recognition scheme based on color information. The proposed gender recognition scheme is comprised of four parts: face detection, eye detection, feature extraction, and gender classifier. To evaluate the proposed scheme, a large number of images containing different-size faces are captured by using low-cost web cam. Experimental results show that our proposed scheme can detect facial regions as well as eyes well. In addition, the classification rate of our gender recognition scheme is more than 80%. These results demonstrate that our proposed scheme can achieve not only face and eye detection but also gender recognition.
Activation of JNK Triggers Release of Brd4 from Mitotic Chromosomes and Mediates Protection from Drug-Induced Mitotic Stress

Some anti-cancer drugs, including those that alter microtubule dynamics target mitotic cells and induce apoptosis in some cell types. However, such drugs elicit protective responses in other cell types allowing cells to escape from drug-induced mitotic inhibition. Cells with a faulty protective mechanism undergo defective mitosis, leading to genome instability. Brd4 is a double bromodomain protein that remains on chromosomes during mitosis. However, Brd4 is released from mitotic chromosomes when cells are exposed to anti-mitotic drugs including nocodazole. Neither the mechanisms, nor the biological significance of drug-induced Brd4 release has been fully understood. We found that deletion of the internal C-terminal region abolished nocodazole induced Brd4 release from mouse P19 cells. Furthermore, cells expressing truncated Brd4, unable to dissociate from chromosomes were blocked from mitotic progression and failed to complete cell division. We also found that pharmacological and peptide inhibitors of the c-jun-N-terminal kinases (JNK) pathway, but not inhibitors of other MAP kinases, prevented release of Brd4 from chromosomes. The JNK inhibitor that blocked Brd4 release also blocked mitotic progression. Further supporting the role of JNK in Brd4 release, JNK2–/– embryonic fibroblasts were defective in Brd4 release and sustained greater inhibition of cell growth after nocodazole treatment. In sum, activation of JNK pathway triggers release of Brd4 from chromosomes upon nocodazole treatment, which mediates a protective response designed to minimize drug-induced mitotic stress.
Diagnosis of heart disease using Advanced Fuzzy resolution Mechanism

Heart disease is a disorder that affects the heart, the number one killer of human community. To diagnosis the heart patients the study was conducted. The components of this study are Fuzzification, Advanced Fuzzy Resolution Mechanism and defuzzification. Crisp values are transferred into fuzzy values through the fuzzification. Advanced fuzzy resolution mechanism uses predicted value to diagnosis the heart disease with five layers, each layer has its own nodes. The proposed mechanism is tested with Cleveland heart disease dataset. Advanced Fuzzy Resolution Mechanism was developed using MATLAB. Defuzzification converts the fuzzy set into crisp values. The proposed method with predicted value technique can work more efficiently for diagnosis of heart disease and also compared with earlier method using accuracy as metrics.
The impact of gender discrimination on poverty in Brazil

This paper analyses the effects of gender discrimination on povertyin Brazil between 1992 and 2001, using data obtained from the NationalHousehold Survey. A counterfactual distribution of per capita householdincome was estimated, based on a hypothetical scenario in which thelabour market pays equal wages to men and women in accordance withtheir qualifi cations. The results show that, when gender discrimination iseliminated, the percentage of poor persons tends to decline by an average of10%. Results were even more striking among the most vulnerable segmentsof the population, such as members of households headed by black womenwho lack a formal employment contract or union membership.