Miracle-dz/UniFAR-FTUs huggingface dataset:
Musical tempo octave error reducing based on the statistics of tempogram

This paper proposes the innovative features of tempogram for the selection of predominant tempo in a two-stage tempo estimation system. At stage one, a tempo-pair estimator identifies the dominant tempo pair from a given audio music. At stage two, the statistical features called tempogram shape vector (tsv) discriminates the predominant tempo from the identified tempo pair. Our experiments demonstrate that the performance, reducing octave error, of the tempo estimation is superior to the previously published results and the proposed two-stage scheme is unique from the others.
Analysis of Compound Synergy in High-Throughput Cellular Screens by Population-Based Lifetime Modeling

Despite the successful introduction of potent anti-cancer therapeutics, most of these drugs lead to only modest tumor-shrinkage or transient responses, followed by re-growth of tumors. Combining different compounds has resulted in enhanced tumor control and prolonged survival. However, methods querying the efficacy of such combinations have been hampered by limited scalability, analytical resolution, statistical feasibility, or a combination thereof. We have developed a theoretical framework modeling cellular viability as a stochastic lifetime process to determine synergistic compound combinations from high-throughput cellular screens. We apply our method to data derived from chemical perturbations of 65 cancer cell lines with two inhibitors. Our analysis revealed synergy for the combination of both compounds in subsets of cell lines. By contrast, in cell lines in which inhibition of one of both targets was sufficient to induce cell death, no synergy was detected, compatible with the topology of the oncogenically activated signaling network. In summary, we provide a tool for the measurement of synergy strength for combination perturbation experiments that might help define pathway topologies and direct clinical trials.
Fertility-based Source-Language-biased Inversion Transduction Grammar for Word Alignment

We propose a version of Inversion Transduction Grammar (ITG) model with IBM-style notation of fertility to improve word-alignment performance. In our approach, binary context-free grammar rules of the source language, accompanied by orientation preferences of the target language and fertilities of words, are leveraged to construct a syntax-based statistical translation model. Our model, inherently possessing the characteristics of ITG restrictions and allowing for many consecutive words aligned to one and vice-versa, outperforms the Bracketing Transduction Grammar (BTG) model and GIZA++, a state-of-the-art word aligner, not only in alignment error rate (23% and 14% error reduction) but also in consistent phrase error rate (13% and 9% error reduction). Better performance in these two evaluation metrics suggests that, based on our word alignment result, more accurate phrase pairs may be acquired, leading to better machine translation quality.
Kemampuan Literasi Informasi Mahasiswa Program Studi Akuntansi S1 (Semester VIII/Tahun Akademik 2012/2013) Fakultas Ekonomi Universitas Hasanuddin Makassar

Hasil analisis menunjukkan kemampuan literasi informasi mahasiswa Program Studi Akuntansi S1 (Semester VIII/Tahun Akademik 2012/2013) Fakultas Ekonomi Universitas Hasanuddin Makassar dengan menggunakan acuan standar yang dibuat Association of College and Research Libraries (ACRL) adalah kemampuan yang dimiliki sebagian besar mahasiswa untuk menentukan kealamiahan dan keluasan informasi dapat dikatakan sudah baik. Dalam hal kemampuan mengakses informasi, dapat disimpulkan sebagian besar mahasiswa telah memiliki kemampuan yang baik. Untuk mengevaluasi informasi yang diperoleh secara kritis, mayoritas mahasiswa sudah melakukannya dengan baik. Kemampuan sebagian besar mahasiswa dalam menggunakan dan mengkomunikasikan informasi juga sudah baik. Dan mahasiswa juga telah memahami terhadap isu hukum, ekonomi dan sosial seputar informasi secara etis dan legal dapat dikatakan sudah cukup baik. Dari penjabaran, kemampuan yang dimiliki oleh mahasiswa, maka dapat dikatakan kemampuan literasi informasi mahasiswa Program Studi Akuntansi S1 Semester VIII sudah cukup baik.
Transparência Pública Mediada por Computadores: Como estão os ministérios de Moçambique à luz da legislação?

A transparencia na administracao publica e discutida frequentemente em Mocambique. Tem-se notado um esforco para responder a situacao atraves da aprovacao de legislacao que objetiva regular a transparencia na atuacao das instituicoes publicas. Neste contexto, analisaremos o nivel de transparencia dos ministerios mocambicanos, em seus portais eletronicos, sob a perspectiva da legislacao. Para tanto buscou-se (i) identificar os indica­dores de transparencia a luz da legislacao mocambicana; (ii) propor um modelo de analise; e (iii) aplicar o modelo para avaliacao do nivel de transparencia nos ministerios. O estudo se configura como descritivo e adota como instrumento de intervencao a Metodologia Multicriterio de Apoio a Decisao (MCDA). Concluiu-se que, de maneira geral, os ministe­rios mocambicanos apresentam baixos niveis de transparencia em seus portais eletronicos. Ademais, os resultados sugerem que a transparencia nao e uma prioridade entre os minis­terios de Mocambique, haja vista que estes sequer cumprem minimamente as exigencias legais estabelecidas no pais.
Partial matching algorithm of 3D CAD model based on topoisomerase

A new method of B-Rep model partial matching based on topoisomerase is proposed. By extracting B-Rep information of the model, the CAD models are represented by the AAG (attribute adjacent graph). Next, the CAD models are expressed as the same topology by Euler operation. Finally, the sub-graph isomorphism approach is used to achieve the partial matching. Experimental results show that this method can realize the partial matching of CAD model, and its efficiency meets the requirement of engineering retrieval.
Risk factors for perioperative ischemic stroke in cardiac surgery

Objective The purpose of this study was to evaluate the risk factors for ischemic stroke in patients undergoing cardiac surgery. Methods From January 2010 to December 2012, 519 consecutive patients undergoing cardiac surgery were analyzed prospectively. The sample was divided into two groups: patients with stroke per and postoperative were allocated in Group GS (n=22) and the other patients in the group CCONTROL (n=497). The following variables were compared between the groups: gender, age, carotid stenosis ≥ 70%, diabetes on insulin, chronic obstructive pulmonary disease, peripheral arteriopathy, unstable angina, kidney function, left ventricular function, acute myocardial infarction, pulmonary arterial hypertension, use of cardiopulmonary bypass. Ischemic stroke was defined as symptoms lasting over 24 hours associated with changes in brain computed tomography scan. The variables were compared using Fisher’s exact test, Chi square, Student’s t-test and logistic regression. Results Stroke occurred in 4.2% of patients and the risk factors statistically significant were: carotid stenosis of 70% or more (P=0.03; OR 5.07; IC 95%: 1.35 to 19.02), diabetes on insulin (P=0.04; OR 2.61; IC 95%: 1.10 to 6.21) and peripheral arteriopathy (P=0.03; OR 2.61; 95% CI: 1.08 to 6.28). Conclusion Risk factors for ischemic stroke were carotid stenosis of 70% or more, diabetes on insulin and peripheral arteriopathy.
Remission based improvement of extrinsic parameter calibration of camera and laser scanner

This paper presents an improvement for an automatic extrinsic parameter calculation between a monocular camera and single line laser range finder. The focus of this work is a further reduction of calibration errors compared to other existing methods, and the unique and automatic identification and detection of a calibration object under usage of the remission measurements of the laser scanner data. The use of the remission measurements leads to a reduction of the edge effect, which leads to error measurements at the edges of a measured object, if distance measurements are used exclusively. Further, the usage of the remission measurements enables the unique identification of a new calibration object with a significant remission signature. The result is an automatic extrinsic parameter calculation which works reliably with a high accuracy. The performance of the proposed method was verified in simulation and experiments. In order to classify the results of simulation and experiments, they were compared to other existing methods.
Paperista: Visual Exploration of Semantically Annotated Research Papers

We consider the problem of visualizing and exploring a dataset about research publications from the fields of Learning Analytics (LA) and Educational Data Mining (EDM). Our approach is based on semantic annotation that associates publications from the dataset with Wikipedia topics. We present a visualization and exploration tool, called Paperista (www.uzrok.com/paperista), which presents these topics in the form of bubble and line charts. The tool provides multiple views, thus allowing users to observe and interact with topics, understand their evolution and relationships over time, and compare data originating from different research fields (i.e., LA and EDM). Moreover, user can explore papers to which the presented topics are related to, and make related Web searches to access the papers themselves.
How Sensitive is Investment to Cash Flow When Financing is Frictionless?

I analyze the sensitivity of a firm's investment to its own cash flow in the benchmark case where financing is frictionless. This sensitivity has been proposed as a measure of financing constraints in earlier studies. I find that the investment-cash flow sensitivities that obtain in the frictionless benchmark are very similar, both in magnitude and in patterns they exhibit, to those observed in the data. In particular, the sensitivity is higher for firms with high growth rates and low dividend payout ratios. Tobin's "q" is shown to be a more noisy measure of near-term investment plans for these firms. Copyright 2003 by the American Finance Association.
Reliable Classification of Vehicle Types Based on Cascade Classifier Ensembles

Vehicle-type recognition based on images is a challenging task. This paper comparatively studied two feature extraction methods for image description, i.e., the Gabor wavelet transform and the Pyramid Histogram of Oriented Gradients (PHOG). The Gabor transform has been widely adopted to extract image features for various vision tasks. PHOG has the superiority in its description of more discriminating information. A highly reliable classification scheme was proposed by cascade classifier ensembles with reject option to accommodate the situations where no decision should be made if there exists adequate ambiguity. The first ensemble is heterogeneous, consisting of several classifiers, including k-nearest neighbors (kNNs), multiple-layer perceptrons (MLPs), support vector machines (SVMs), and random forest. The classification reliability is further enhanced by a second classifier ensemble, which is composed of a set of base MLPs coordinated by an ensemble metalearning method called rotation forest (RF). For both of the ensembles, rejection option is accomplished by relating the consensus degree from majority voting to a confidence measure and by abstaining to classify ambiguous samples if the consensus degree is lower than a threshold. The final class label is assigned by dual majority voting from the two ensembles. Experimental results using more than 600 images from a variety of 21 makes of cars and vans demonstrated the effectiveness of the proposed approach. The cascade ensembles produce consistently reliable results. With a moderate ensemble size of 25 in the second ensemble, the two-stage classification scheme offers 98.65% accuracy with a rejection rate of 2.5%, exhibiting promising potential for real-world applications.
Creative capacity for sustainable development: a comparative analysis of the European and Turkish rural regions

Creative capacity in the field of regional sciences means the capability of any region to generate knowledge and thus to achieve innovation and the diffusion of the output of the innovative activity while obtaining the viability and sustainability of this process. Although creative capacity studies mainly focus on urban regions, the late rural studies and empirical evidences showed that rural region has a great potential capacity in terms of its five components viz. knowledge; innovation; entrepreneurship; creativity; and networks. But, these opportunities have shown by a rural specific approach rather than an urban approach. On this basis, by taking into consideration these discussions in the literature, we assume that the rural creative capacity can be evaluated by the recent changes in rural regions that show the capability of rural regions to exploit its knowledge as an output. On this purpose, in this study, we aim to evaluate which component is relatively important to identify the level of rural creative capacity. Therefore, the study focuses on 60 villages from Europe and 17 villages from Turkey by deploying the data obtained from the in-depth questionnaires. This study is a first attempt at settlement level with an optimistic approach to measure the opportunities lying at the heart of rural regions. The results of the study showed that creativity in terms of traditions is the most important component in both cases while European villages have more opportunities and do not have the latent rural problems while Turkish villages are still suffering from the well-known rural problems that their capacity exists but it is very limited.
The Relationship Between Service Quality and Customer Satisfaction in the Telecommunication Industry: Evidence From Nigeria

This study investigates the relationship between service quality and customer satisfaction in the telecommunication industry with a focus on Mobile Telecommunication Network (MTN) Nigeria. A total of 230 respondents participated in the study. Research questions and objectives were set, alongside the hypotheses that were formulated and tested. Descriptive statistics comprising the simple percentage and tables were used for data presentation and analysis. Regression analysis and Pearson product moment correlation coefficient were employed in testing our hypotheses. The study reveals that service quality has effect on customer satisfaction and that there is a positive relationship between service quality and customer satisfaction. The researcher concluded by recommending that organisations should focus more attention on service quality, because of its effects on customer satisfaction. To ensure that customer satisfaction level is high, organisation must first of all know the expectations of the customers and how they can meet such expectations. Customer satisfaction helps in customer loyalty and retention. It has been discovered that it costs to attract new customer than to retain existing ones. It is also recommended that organisations should welcome suggestions from customers and more programmes should be designed to measure service quality and customer satisfaction.
Exposure to Environmental Urban Noise Pollution in Birmingham, UK

This paper examines the extent to which inequalities in noise exposure are present in the city of Birmingham in the English Midlands. Estimates of road and rail noise levels were made using established sound propagation models and were combined with data on noise generated from the city's airport. Demographic details from the 1991 UK Census provided information on population age, ethnic make-up and deprivation. No relationship was established between noise exposure and population age, and there was only rather weak evidence of an association between noise exposure and ethnicity. Similarly weak disparities were observed in estimated noise exposures and levels of socioeconomic deprivation. The implications of these findings with regard to possible efforts to reduce urban noise levels are discussed.
The Construction of a Dictionary for a Two-layer Chinese Morphological Analyzer

We built a morphological analyzer, which can be freely used by anyone for research purpose. In order to build a pratical system, a dictionary with reasonable size is necessary. The initial dictionary is built from the Penn Chinese Treebank corpus v4.0 and contains only 33,438 entries. Since the initial dictionary is quite small, unknown word detection methods are applied to a huge raw text in order to extract new words to be added into the system dictionary. We have successfully constructed a dictionary with 120,769 entries. Finally, we propose a two-layer morphological analyzer to cater for two sets of outputs. The first layer produces the minimal segmentation units defined by us, and the second layer transforms the output of the first layer to the original segmentation units defined by Penn Chinese Treebank.
Theory of Coupled Resonator Microwave Bandpass Filters of Arbitrary Bandwidth

The paper presents a new theory of coupled resonator bandpass microwave filters of arbitrary bandwidth. Constraints on the scattering parameters of lossless, time-invariant, and reciprocal two-port networks, expressed as rational functions of the physical frequency, are presented. Filtering functions exhibiting arbitrarily positioned transmission zeros and locally symmetric or asymmetric responses with respect to the center of the passband, and satisfying these constraints are then introduced. A direct synthesis technique to extract the elements of the transversal equivalent circuit to yield a prescribed response is presented. Response-preserving similarity transformations are then applied to the circuit to force a desired topology. As opposed to the prevailing narrowband approximation, any topology other than the transversal will have off-diagonal elements that depend on frequency. Interesting features that are not found in the narrowband approximation are reported. Examples demonstrating the soundness of the theory are presented.
Dynamic and Thermodynamic Regulation of Ocean Warming *

The relative roles of clouds, surface evaporation, and ocean heat transport in limiting maximum sea surface temperatures (SSTs) in the western Pacific warm pool are investigated by means of simple and intermediate coupled ocean–atmosphere models. The authors first take an analytical approach by constructing a conceptual two-box model that contains dynamic coupling among the Walker circulation, SST, and ocean thermocline and thermodynamic coupling, which includes shortwave and longwave cloud forcing and latent and sensible heat fluxes at the ocean surface. In a realistic parameter regime, the three mechanisms mentioned above are all essential in limiting the SSTs within the observed range. The lack of any one mechanism would lead to an equilibrium SST that is too high, although unstable warming due to the super greenhouse effect would not occur. The analysis of the surface heat balance from the simple box model indicates that in the western Pacific warm pool, cloud reflection has a dominant effect, followed by evaporation and ocean dynamics. The simple model results are further evaluated numerically by using an intermediate coupled ocean–atmosphere model. With the forcing of the annual-mean solar radiation, this model is capable of simulating a realistic annual mean climate in the tropical Pacific. The authors then introduce an initial SST perturbation and examine how the perturbation evolves with time in the presence of clouds, surface evaporation, and ocean dynamic processes. Four experiments have been designed. In the first three experiments, each of the three processes is studied separately; in the last experiment, they are combined. The intermediate model results indicate that in the western Pacific warm pool, the largest negative feedback comes from the cloud shortwave radiation forcing, followed by the surface evaporation and ocean heat transport. The sensitivity of the model to various initial SST perturbation patterns is also investigated.
A High Performance Parallel IP Lookup Technique Using Distributed Memory Organization and ISCB-Tree Data Structure

The IP Lookup Process is a key bottleneck in routing due to the increase in routing table size, increasing tra ffic and migration to IPv6 addresses. The IP address lookup involves computation of the Longest Pre fix Matching (LPM), which existing solutions such as BSD Radix Tries, scale poorly when traffic in the router increases or when employed for IPv6 address lookups. In this paper, we describe a high performance parallel IP lookup mechanism based on distributed memory organization that uses P processor for solving LPM problem. Since multiple processors are used, the number of prefixes to be compared for each processor has been reduced. In other words each processor needs to find LPM for a specific IP address among N/P of prefixes. In order to reduce the number of memory access in each processor which is a major bottleneck in IP lookup process, we use ISCB-Tree data structure for the sake of storing the forwarding table in each processor. ISCBTree is a B-Tree like data structure that reduces the height of pre fix tree and logarithmic growing manner with the increasing number of prefixes. By the using of this data structure the number of memory access reduces sharply.
Comparative studies of the composition of bacterial microbiota associated with the ruminal content, ruminal epithelium and in the faeces of lactating dairy cows

The objective of this research was to compare the composition of bacterial microbiota associated with the ruminal content (RC), ruminal epithelium (RE) and faeces of Holstein dairy cows. The RC, RE and faecal samples were collected from six Holstein dairy cows when the animals were slaughtered. Community compositions of bacterial 16S rRNA genes from RC, RE and faeces were determined using a MiSeq sequencing platform with bacterial‐targeting universal primers 338F and 806R. UniFrac analysis revealed that the bacterial communities of RC, RE and faeces were clearly separated from each other. Statistically significant dissimilarities were observed between RC and faeces (P = 0.002), between RC and RE (P = 0.003), and between RE and faeces (P = 0.001). A assignment of sequences to taxa showed that the abundance of the predominant phyla Bacteroidetes was lower in RE than in RC, while a significant higher (P < 0.01) abundance of Proteobacteria was present in RE than in RC. When compared with the RC, the abundance of Firmicutes and Verrucomicrobia was higher in faeces, and RC contained a greater abundance of Bacteroidetes and Tenericutes. A higher proportions of Butyrivibrio and Campylobacter dominated RE as compared to RC. The faecal microbiota was less diverse than RC and dominated by genera Turicibacter and Clostridium. In general, these findings clearly demonstrated the striking compositional differences among RC, RE and faeces, indicating that bacterial communities are specific and adapted to the harbouring environment.