Miracle-dz/UniFAR-FTUs huggingface dataset:
Persistence Property and Asymptotic Description for DGH Equation with Strong Dissipation

where the constants α2 and γ/c 0 are squares of length scales and the constant c 0 > 0 is the critical shallow water wave speed for undisturbed water at rest at spatial infinity. Since this equation is derived by Dullin, Gottwald, and Holm, in what follows, we call this new integrable shallow water equation (1) DGH equation. If α = 0, (1) becomes the well-known KdV equation, whose solutions are global as long as the initial data is square integrable. This is proved by Bourgain [2]. If γ = 0 and α = 1, (1) reduces to the Camassa-Holm equation which was derived physically by Camassa and Holm in [3] by approximating directly the Hamiltonian for Euler’s equations in the shallow water regime, where u(x, t) represents the free surface above a flat bottom. The properties about the well-posedness, blow-up, global existence, and propagation speed have already been studied in recent works [4–13], and the generalized version of a family of dispersive equations related to Camassa-Holm equation was discussed in [14]. It is very interesting that (1) preserves the bi-Hamiltonian structure and has the following two conserved quantities:
ON LANDAU'S PHENOMENON IN R

Theorem 1 (Landau). Given > 0 there exists a real sequence  f ngn2Z with j n ÿ 2 nj < such that the system E  is complete in L2 on every finite union of the intervals k ; k 1ÿ , for every 0 < < 2 : This theorem shows that the completeness problem for exponential systems on a union of intervals is quite different from the one on a single interval. A sequence in Theorem 1 is a `small' perturbation of the set 2 Z  f2 ngn2Z. This sequence yields the system E  which is complete in L2 on open sets with arbitrarily large measures. The set 2 Z itself yields the trigonometrical system
Comparative analysis of shell color variety and genetic structure among five high-quality freshwater pearl mussel populations

Four Hyriopsis cumingii populations, a breeding population (BP), a cultured population (FP), two wild populations from Poyang Lake (PY) and Dongting Lake (DT), and an H. schlegelii population were collected (JX), and the first filial generations (F1) were bred synchronously. The shell nacre polymorphisms, population genetic diversity, and genetic structures of the F1 of each population were analyzed and compared using CIELAB colorimetric measurements and microsatellite markers. The color parameters of the shell nacre (L*, a*, dE*) in the BP were significantly different from those in the FP, PY, and JX populations (P < 0.05), whereas the shell nacre color did not differ significantly between the left and right sides of the shells within the same population (P > 0.05). The BP had relatively darker nacre at the posterior end of the shell, and the color parameters (L*, a*, b*,
The Unemployment-Stock Market Relationship in South Africa : Evidence from Symmetric and Asymmetric Cointegration Models

In this study, we examine linear and nonlinear cointegration and causal relations between unemployment and stock market returns in South Africa using quarterly data collected between 1994:q1 and 2016:q1. Our empirical results reveal significant cointegration effects between the time series in both linear and nonlinear models, even though both frameworks ultimately reject the notion of any causal relations between the variables. Collectively, our study rejects the notion of unemployment being a good predictor for stock market returns and neither do developments in the stock market have any effect on the unemployment rate. Such evidence advocates for weak-form efficiency in the jse equity prices whereby unemployment data cannot help investors to predict the movement of future share prices and further suggests that policymakers cannot rely on stock market development as an avenue towards lowering the prevailingly high levels of unemployment as set in current macroeconomic policy objectives.
Application of Improved Eclat Algorithm in Students’ Evaluation of Teaching

The evaluation system of students is to find a way to solve the status way according to the exact needs of students and the teaching requirements of teachers, so as to improve the teaching level of teachers and improve the quality of school education. This paper uses the real evaluation sample and uses the data mining association rule algorithm to comprehensively analyze the massive data of the evaluation data and the basic information of the teacher. The purpose is to obtain the association rules between the teacher's comprehensive information and its evaluation results. Using the evaluation data to explore its core issues. In this paper, the Eclat algorithm of association rules improves the problem of insufficient memory and occupying a large amount of time when searching for frequent itemsets in the data. The breadth-first algorithm is added to save operation time and improve the efficiency of the algorithm. The effectiveness of the improved algorithm is verified by comparative experiments and applied to the evaluation system so as to provide suggestions for the professional development of teachers from an objective perspective, and to build a harmonious, "people-oriented" evaluation system for students.
Cloning and expression of porcine SRPK 1 gene

Protein SRPK1 acts as a crucial element in the pre-initiation complex of transcription, which play an important role in the regulation procession of gene expression. This study was carried out in order to explore the genetic characteristic of SRPK1 in pigs. SRPK1 gene came from Yorkshire, a pig that was cloned by real time polymerase chain reaction (RT-PCR), yet coding sequence and partial 5’UTR sequence was completed. The distribution determination of mRNA taken from the heart, muscle, liver, kidney, lung stomach, small and large intestine, spleen and brain of ten Yorkshire and Duroc pigs was finished by real-time PCR by one day and 30 days old pigs. Expression test of gene SRPK1 was implemented in a skeletal damage model during the period of skeletal muscles development. Sequence analysis of a DNA fragment with a length of 2499 bp in gene SRPK1 of a Yorkshire pig revealed a full coding region that coded 656 AAs, yet including partial 5’UTR sequence. A total of 14 transcription binding sites were detected by bioinformatics analysis. Both the breeds’ specific expression and the tissues’ specific expression were detected by RT-PCR; however, high expression was mainly detected in the stomach, and the small and large intestines. The quantity of the mRNA of gene SPRK1 was enhanced and it decreased repeatedly in the period of skeletal muscle destruction and repair. All the results in the foregoing indicated a few transcription binding sites, which showed that the relevant muscle growth protein lied in 5’UTR, and the positive regulation in the course of skeletal muscle repair revealed a potential association with skeletal muscle cells development or gene expression of other growth related factors.
he effects of different calibration and frequency response correction ethods on eddy covariance ozone flux measured with a dry hemiluminescence analyzer

Ozone (O3) flux (Fo) was measured over a wheat field in Yucheng, China, using the eddy covariance technique. A dry chemiluminescence fast-response O3 analyzer and a UV-absorption based slow-response O3 analyzer were used for measuring fast O3 concentration fluctuations and absolute concentrations, respectively. The main objective of this study was to determine a group of suitable methods for calculating Fo based on the performance of the two O3 analyzers in the field. We evaluated the effects of three calibration methods on Fo. These calibration methods include the ratio method (RM, it assumes that the fast-response analyzer’s signal-output is directly proportional to absolute ambient O3 concentration within a 30-min interval), the ratio offset method (ROM, it is based on the ratio method with analyzer’s offset modification), and the ratio variation method (RVM, it is based on the ratio method with the fastresponse analyzer’s gain factor variation within a 30-min interval). Three frequency response corrections (analytic, revised analytic, and in-situ) for the estimation of Fo were also evaluated. Our results show that: (1) Compared to the O3 flux with the commonly-used method (RM), on average, the fluxes with ROM and RVM were decreased by about 9% and 7%, respectively. (2) Based on the spectral analysis, the fastresponse O3 analyzer’s noise could cause random errors, but did not result in a systematic error in Fo. Tubing attenuation in O3 concentration fluctuations can cause up to 20% loss in Fo. (3) Frequency response corrections for Fo with the original analytic method, the in-situ method, and the revised analytic method were 34.6%, 23.8% and 25.4% on average, respectively. © 2015 Elsevier B.V. All rights reserved.
UvA-DARE ( Digital Academic Repository ) Neural Ranking Models with Weak Supervision

Despite the impressive improvements achieved by unsupervised deep neural networks in computer vision and NLP tasks, such improvements have not yet been observed in ranking for information retrieval. e reason may be the complexity of the ranking problem, as it is not obvious how to learn from queries and documents when no supervised signal is available. Hence, in this paper, we propose to train a neural ranking model using weak supervision, where labels are obtained automatically without human annotators or any external resources (e.g., click data). To this aim, we use the output of an unsupervised ranking model, such as BM25, as a weak supervision signal. We further train a set of simple yet eective ranking models based on feed-forward neural networks. We study their eectiveness under various learning scenarios (point-wise and pair-wise models) and using dierent input representations (i.e., from encoding querydocument pairs into dense/sparse vectors to using word embedding representation). We train our networks using tens of millions of training instances and evaluate it on two standard collections: a homogeneousnewscollection (Robust) andaheterogeneous large-scale web collection (ClueWeb). Our experiments indicate that employing proper objective functions and leing the networks to learn the input representation based on weakly supervised data leads to impressive performance, with over 13% and 35% MAP improvements over the BM25 model on the Robust and the ClueWeb collections. Our ndings also suggest that supervised neural ranking models can greatly benet from pre-training on large amounts of weakly labeled data that can be easily obtained from unsupervised IR models.
Title The fixed-point theory of strictly causal functions Permalink

We ask whether strictly causal components form well defined systems when arranged in feedback configurations. The standard interpretation for such configurations induces a fixed-point constraint on the function modelling the component involved. We define strictly causal functions formally, and show that the corresponding fixed-point problem does not always have a well defined solution. We examine the relationship between these functions and the functions that are strictly contracting with respect to a generalized distance function on signals, and argue that these strictly contracting functions are actually the functions that one ought to be interested in. We prove a constructive fixed-point theorem for these functions, introduce a corresponding induction principle, and study the related convergence process.
Hybrid Frequency Compensation to Improve Unity-Gain Bandwidth of Low-Voltage Low-Power CMOS Operational Amplifiers

In this paper a new hybrid frequency compensation (HFC) technique consists of indirect compensation and compensation using unbalanced differential pairs for low-voltage low-power CMOS operational amplifiers (op amp) is proposed. This technique significantly improves frequency response of the op amp and avoids instability when a large capacitive load at the output of the op amp must be handled. Also, Dynamic threshold voltage MOSFET (DTMOS) and sub-threshold region are utilized in the design to effectively use the low supply voltage and reduce power consumption. To evaluate the proposed technique, the two stage operational amplifier is designed and simulated in a TSMC 0.18 μm CMOS process technology. The op amp operate at 0.6 V power supply with 138.3 nW power consumption. The proposed HFC technique uses a total compensation capacitance of 3.5 pF and is robust in stability under the variation of the load capacitance between 0 pF and 100 pF. When driving a 15 pF load, the proposed HFC amplifier reduces the total capacitor size 35% and improves the unity-gain bandwidth 481% compared to the conventional Miller compensation.
Implementation and performance aspects of Kahn process networks

The appearance of commodity multi-core processors, has spawned a wide interest in parallel programming, which is widely-regarded as more challenging than sequential programming. KPNs are a model of concurrency that relies exclusively on message passing, and that has some advantages over parallel programming tools in wide use today: simplicity, graphical representation, and determinism. Because of determinism, it is possible to reliably reproduce faults, an otherwise notoriously difficult problem with parallel programs. KPNs have gained acceptance in simulation and signal-processing communities. In this thesis, we investigate the applicability of KPNs to implementing general-purpose parallel computations for multi-core machines. In particular, we investigate 1) how KPNs can be used for modeling general-purpose problems; 2) how an efficient KPN run-time can be implemented; 3) what KPN scheduling strategies give good run-time performance. For these purposes, we have developed Nornir, an efficient run-time system for executing KPNs. With Nornir, we show that it is possible to develop a high-performance KPN run-time for multi-core machines. We experimentally demonstrate that problems expressed in the Kahn model resemble very much their sequential implementations, yet perform much better than when expressed in the MapReduce model, which has become widely-recognized as a simple parallel programming model. Lastly, we use Nornir to evaluate several load-balancing methods: static assignment, work-stealing, our improvement of work-stealing, and a method based on graph partitioning. The understanding brought by this evaluation is significant not only in the context of the Kahn model, but also in the more general context of load-balancing (potentially distributed) applications written in message-passing style. “I do not ask you about fifteen days ago. But what about fifteen days hence? Come, say a word about this! ” Since none of the monks answered, he answered for them: “Every day is a good day. ” (Ummon) Preface This thesis is submitted to the Department of Informatics, Faculty of Mathematical and Natural Sciences, University of Oslo, Norway, as a partial requirement for the degree philosophiæ doctor. The work has been carried out in the period from march 2005 to july 2009 with financial support from the Research Council of Norway and Department of Informatics.
PITCH DETERMINATION OF NOISY SPEECH USING HIGHER ORDER STATISTICS

In this paper it is shown that the use of third order statistics are useful to determine the pitch of a speech signal and how they can eliminate the effect of a wide kind of noises, including those generated by periodic sources. The proposed algorithm is based on the property that higher-order statistics can extract useful information about the statistics of voiced frames, and they can separate speech from noise. Third-order statistics are quite insensitive to most noises (gaussian, sinusoidal, car noise, . .) because these noises have a symmetric probability density function and, therefore, their third-order cumulants are zero. The algorithm has been tested in noise corrupted speech, at different levels of signal to noise ratio, and with different kinds of noise. The results show that this new algorithm gives in all the cases a much better estimation of the pitch than the conventional autocorrelation method.
Aalborg Universitet Analytical derivation of EXIT charts for simple block codes and for LDPC codes using information combining Land

The extrinsic information transfer (EXIT) chart describes the input-output behavior of a decoder by means of the mapping from a-priori information and channel information to extrinsic information. In this paper, we consider single parity check and repetition codes over binary-input symmetric memoryless channels. Using the concept of information combining, we derive bounds on the extrinsic information for these codes, which depend only on the a-priori information and on the channel information, but not on the channel models. The bounds are applied to the EXIT charts of these codes and to the EXIT charts of low-density parity-check codes.
Ultrasonication-Induced Synthesis and Antimicrobial Evaluation o� Some�ulti�uorinated �yra�olone �erivatives

A series of novel �uorine containing pyrazole-pyrazolone (4a–j) and chromone-pyrazolone (5a–i) was synthesized from multi�uorinated pyrazolone by the Knoevenagel condensation reaction. All compounds were synthesized by conventional heating as well as ultrasound irradiation technique. It was found that ultrasonication method was more efficient than conventional heating method. e newly synthesized compounds were subjected for in vitro antimicrobial screening against four bacterial pathogens, namely, Staphylococcus aureus, Streptococcus pyogenes, Escherichia coli, and Pseudomonas aeruginosa and three fungal pathogens Candida albicans, Aspergillus niger, and Aspergillus clavatus, using broth microdilution (MIC) method (CLSI guidelines). Among them, some compounds exhibited promising antibacterial activity against the tested strains. All synthesized compounds were characterized by IR, H-NMR, mass, and elemental analysis.
Apache Hive Essentials

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.About This BookGrasp the skills needed to write efficient Hive queries to analyze the Big DataDiscover how Hive can coexist and work with other tools within the Hadoop ecosystemUses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3. 3Who This Book Is ForIf you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.What You Will LearnCreate and set up the Hive environmentDiscover how to use Hive's definition language to describe dataDiscover interesting data by joining and filtering datasets in HiveTransform data by using Hive sorting, ordering, and functionsAggregate and sample data in different waysBoost Hive query performance and enhance data security in HiveCustomize Hive to your needs by using user-defined functions and integrate it with other toolsIn DetailIn this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment.Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey.By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problemsStyle and approachThis book takes on a practical approach which will get you familiarized with Apache Hive and how to use it to efficiently to find solutions to your big data problems. This book covers crucial topics like performance, and data security in order to help you make the most of the Hive working environment.
THE RELATIONSHIP BETWEEN KLCI AND MONETARY POLICY AFTER THE 1997 FINANCIAL CRISIS

Using Autoregressive Distributed Lag (ARDL) and Johansen cointegration with structural break, the long run and short run interactions between stock market (KLCI) and monetary policy (M1, M2 and Interest Rate) are examined in Malaysia with monthly data after 2000 to date. Our results indicate that; a) There is significant long run and short run relationship in the sample period, b) Johansen test with structural break gives more robust result.
Experiences of Academic Librarians Serving as Interim Library Leaders

Using a mixed-methods approach, the researchers explored the experiences of 108 academic librarians who served as interim library leaders at U.S. institutions of higher education between 2012 and 2017. Statistical analysis showed no associations between gender, type of institution, or degree-granting level with the duration of interim service or whether a respondent applied for or was hired as the permanent leader. The authors provide recommendations for future interim library leaders and the university executives who appoint them. Serving as an interim library leader can be a once-in-a lifetime opportunity well worth the experience.
APPLICABILITY ASSESSMENT OF THE PORTUGUESE VERSION OF A COMPETENCY QUESTIONNAIRE FOR HOSPITAL NURSES

Objective: to develop psychometric assessments of the adapted version of the Competency Evaluation Questionnaire for Brazilian nurses in the hospital context, assessing the reliability of the internal structure of this version. Method: a methodological study was undertaken, in which the sample consisted of 273 nurses from two public hospitals. The scale consists of 27 items, distributed in five competence domains. For the construct validity of the adapted version of the instrument, Cronbach’s Alpha was verified, Confirmatory and Exploratory Factor Analysis was applied and Cronbach’s Alpha was again calculated for the questionnaire domains, aiming to validate its new structural arrangement. Results: the total Cronbach’s Alpha coefficient was 0.923, while the coefficients per domain ranged from 0.397 (Management) to 0.833 (Nursing process. In the factor analysis, a Comparative Fit Index and Tucker-Lewis Index of 0.808 and 0.783 were found, respectively, demonstrating acceptable and near-ideal values. In the exploratory factor analysis, the Kaiser-Meyer-Olkin index was 0.918 and the result of Bartlett’s sphericity test was p<0.00. After developing a new structural arrangement of the scale, the internal consistency of the new domains was confirmed and ranged from 0.732 to 0.845, that is, all indices were consistent. Conclusion: the Brazilian Portuguese version of the Competence Evaluation Questionnaire consisted of 27 items, grouped in the domains they belong to. The criteria of the exploratory factor analysis applied were met, showing an appropriate, valid and reliability instrument. DESCRIPTORS: Nurses. Hospitals. Professional competence. Translating. Scales. AVALIAÇÃO DA APLICABILIDADE DA VERSÃO PORTUGUESA DE UM QUESTIONÁRIO DE COMPETÊNCIAS PARA ENFERMEIROS HOSPITALARES