Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of fuzzy data fusion in multi-sensor fire monitoring

A fire monitoring and forecasting method is proposed by using fuzzy theory of multi-sensor data fusion, and a corresponding fire alarm system is set up based on wireless sensor network. Fire detection algorithm and data fusion are modular and hierarchical by this method. The simulation experimental results prove that the effectiveness of the monitoring method and performance of environment monitoring system is improved.
Tomographic inversion using L1-norm regularization of wavelet coefficients

We propose the use of $ell_1$ regularization in a wavelet basis for the solution of linearized seismic tomography problems $Am=data$, allowing for the possibility of sharp discontinuities superimposed on a smoothly varying background. An iterative method is used to find a sparse solution $m$ that contains no more fine-scale structure than is necessary to fit the data $data$ to within its assigned errors.
Novel Sex Cells and Evidence for Sex Pheromones in Diatoms

Background Diatoms belong to the stramenopiles, one of the largest groups of eukaryotes, which are primarily characterized by a presence of an anterior flagellum with tubular mastigonemes and usually a second, smooth flagellum. Based on cell wall morphology, diatoms have historically been divided into centrics and pennates, of which only the former have flagella and only on the sperm. Molecular phylogenies show the pennates to have evolved from among the centrics. However, the timing of flagellum loss – whether before the evolution of the pennate lineage or after – is unknown, because sexual reproduction has been so little studied in the ‘araphid’ basal pennate lineages, to which Pseudostaurosira belongs. Methods/Principal Finding Sexual reproduction of an araphid pennate, Pseudostaurosira trainorii, was studied with light microscopy (including time lapse observations and immunofluorescence staining observed under confocal scanning laser microscopy) and SEM. We show that the species produces motile male gametes. Motility is mostly associated with the extrusion and retrieval of microtubule-based ‘threads’, which are structures hitherto unknown in stramenopiles, their number varying from one to three per cell. We also report experimental evidence for sex pheromones that reciprocally stimulate sexualization of compatible clones and orientate motility of the male gametes after an initial ‘random walk’. Conclusions/Significance The threads superficially resemble flagella, in that both are produced by male gametes and contain microtubules. However, one striking difference is that threads cannot beat or undulate and have no motility of their own, and they do not bear mastigonemes. Threads are sticky and catch and draw objects, including eggs. The motility conferred by the threads is probably crucial for sexual reproduction of P. trainorii, because this diatom is non-motile in its vegetative stage but obligately outbreeding. Our pheromone experiments are the first studies in which gametogenesis has been induced in diatoms by cell-free exudates, opening new possibilities for molecular ‘dissection’ of sexualization.
Automatic Plagiarism Detection System for Specialized Corpora

Plagiarism in the academic writing is considered one of the worst breaches of professional conduct in western society and automatic detection of it has become an important use case for Natural Language Processing research. We created a new system, AuthentiCop, aimed at detecting plagiarism instances in Computer Science academic writings. This paper focuses on designing and implementing such a system. We analyze the solutions proposed in the PAN 2011 conference and present a novel approach based on ppjoin.
On the Nature of Capital Adjustment Costs

This paper studies the nature of capital adjustment at the plant-level. We use an indirect inference procedure to estimate the structural parameters of a rich specification of capital adjustment costs. In effect, the parameters are optimally chosen to reproduce the nonlinear relationship between investment and profitability that we uncover in the plant-level data. Our findings indicate that a model which mixes both convex and nonconvex adjustment costs with irreversibility fits the data best.
Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions

Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Most of the existing techniques that generate differentially private histograms or synthetic data only work well for single dimensional or low-dimensional histograms. They become problematic for high dimensional and large domain data due to increased perturbation error and computation complexity. In this paper, we propose DPCopula, a differentially private data synthesization technique using Copula functions for multi-dimensional data. The core of our method is to compute a differentially private copula function from which we can sample synthetic data. Copula functions are used to describe the dependence between multivariate random vectors and allow us to build the multivariate joint distribution using one-dimensional marginal distributions. We present two methods for estimating the parameters of the copula functions with differential privacy: maximum likelihood estimation and Kendall's τ estimation. We present formal proofs for the privacy guarantee as well as the convergence property of our methods. Extensive experiments using both real datasets and synthetic datasets demonstrate that DPCopula generates highly accurate synthetic multi-dimensional data with significantly better utility than state-of-the-art techniques.
Effects of surface coating on reducing friction and wear of orthopaedic implants

Abstract Coatings such as diamond-like carbon (DLC) and titanium nitride (TiN) are employed in joint implants due to their excellent tribological properties. Recently, graphite-like carbon (GLC) and tantalum (Ta) have been proven to have good potential as coating as they possess mechanical properties similar to bones—high hardness and high flexibility. The purpose of this systematic literature review is to summarize the coating techniques of these four materials in order to compare their mechanical properties and tribological outcomes. Eighteen studies published between January 2000 and February 2013 have met the inclusion criteria for this review. Details of their fabrication parameters, material and mechanical properties along with the tribological outcomes, such as friction and wear rate, were identified and are presented in a systematic way. Although experiment conditions varied, we conclude that Ta has the lowest wear rate compared to DLC, GLC and TiN because it has a lower wear rate with high contact pressure as well as higher hardness to elasticity ratio. However, a further tribology test is needed in an environment which replicates artificial joints to confirm the acceptability of these findings.
GrEEn : Towards Green 5 G Mobile Networks

In 2020, mobile access networks will experience significant challenges as compared to the situation of today. Traffic volumes are expected to increase 1000 times, and the number of connected devices will be 10-100 times higher than today in a networked society with unconstrained access to information and sharing of data available anywhere and anytime to anyone and anything. One of the big challenges is to provide this 1000-fold capacity increase to billions of devices in an affordable and sustainable way. Low energy consumption is the key to achieve this. This paper takes as starting point the situation of today, and tries to pinpoint important focus areas and potential solutions when designing an energy efficient 5G mobile network architecture. These include system architecture, where a logical separation of data and control planes is seen as a promising solution; network deployment, where (heterogeneous) ultra dense layouts will have a positive effect; radio transmission, where the introduction of massive antenna configurations is identified as an important enabler; and, finally, backhauling solutions that need to be more energy efficient than today.
Concentrations of β-glucans and mannan-oligosaccharides in corn dried distillers grains with solubles ( DDGS ) and its relationship to fiber components

Typically, β-glucans (BG) and mannan oligosaccharides (MOS) can be found in the bran of cereal grains, yeast cell walls, plant cellulose, and in many types of fungi and bacteria. Furthermore, both BG and MOS are known to exhibit beneficial health properties. The objective of this study was to determine the concentrations of BG and MOS in corn dried distillers grains with solubles (DDGS) containing varying levels of ADF and NDF, and to determine if any correlation between fiber content and BG content existed. Thirty-four samples of DDGS from various dry-grind ethanol plants in the Midwest were selected based on their varying concentrations of ADF and NDF. Both ADF and NDF concentrations were previously determined using wet chemistry procedures from commercial laboratories. Samples of DDGS contained between 7.21% to 17.27% ADF, while NDF content ranged from 20.13% to 32.94%. Average concentration of ADF and NDF was 10.68% and 25.35%, respectively. Samples were prepared in duplicates, and enzymatic kits (K-YBGL 04/2008 and K-MANGL 01/05) from Megazyme (Megazyme International Ireland Limited, Bray, Ireland) were used to determine BG and MOS content. Data were analyzed utilizing the Univariate and Corr procedures of SAS. The content of BG ranged from 5.51g/100 g to 10.09 g/100g. Average BG content in DDGS samples was 7.61 g/100g. Concentration of BG and ADF were positively correlated (P < 0.006) with a Pearson Correlation Coefficient of 0.46. Conversely, NDF and BG were not correlated (P > 0.5). Unfortunately, MOS concentrations were below detectable levels. Overall, these results indicate that BG concentration in DDGS is positively correlated to the ADF fraction. Furthermore, the level of BG in DDGS is variable and relatively low compared to other feed ingredients (such as oats or barley).
The association between antipsychotic and benzodiazepine use with brain morphology and its changes in schizophrenia

The association between antipsychotics and brain volume changes in schizophrenia is not clear. Previous imaging studies have not examined benzodiazepine use, though it has been linked to cognitive impairment. The aim of this thesis was to examine the association between long-term antipsychotic and benzodiazepine use and brain structures in schizophrenia. Based on a systematic review and meta-analysis of previous studies on long-term antipsychotic use and brain changes in schizophrenia, a higher antipsychotic exposure associated with parietal lobe decrease and basal ganglia increase. Previous data on the topic is very heterogenous and the overall number of studies is small (N=34). Most reported findings were non-significant. In the Northern Finland Birth Cohort 1966, 38 cases with schizophrenia spectrum disorder participated in the longitudinal study at the ages of 34 and 43. In the cross-sectional study, 44 cases with schizophrenia and 24 cases with affective psychoses participated at the age of 43. Structural brain MRI scans were acquired from all participants and data on antipsychotic and benzodiazepine dose was collected using medical records and interviews. Illness severity and antipsychotic/ benzodiazepine dose were included as confounders in the analyses. Higher scan-interval antipsychotic dose associated to volume increase in lateral ventricles and higher benzodiazepine dose associated to volume decrease in the caudate nucleus during the 9year follow-up. In the 43-year study, higher lifetime antipsychotic dose associated to smaller nucleus accumbens volume in schizophrenia. In comparison, higher lifetime benzodiazepine dose associated to larger volumes of total gray matter, cerebral gray matter, and thalamus in affective psychoses. In analyses without illness severity and other medication as confounders, there were several statistically significant associations. It seems that long-term antipsychotic use may associate to structural brain changes in schizophrenia and some associations may be confounded by symptoms and the use of benzodiazepines. These findings underline the importance of taking benzodiazepine use and other confounding factors into account when studying the effects of antipsychotics on the brain. Further studies should focus on how these findings relate to cognition and functioning.
An extensible framework for repair-driven monitoring

In recent years autonomic computing, specifically autonomic data centre management has gained significant attention. Human intervention be minimized to reduce the operating costs of business applications. In this paper we focus our attention to the self-repair dimension and present a flexible probabilistic framework to develop agents for self-repair in the context of business-information-system components. Our framework seeks to pick the optimal sequence of repair actions given only imperfect information about the experienced fault. In contrast to existing recovery-oriented approaches, our model explicitly considers fault prevalence, symptoms of recurrent failures, and inclusive repair actions. We evaluate our proposal using discrete event simulation. Our evaluation shows that an optimal repair policy can be computed from a brief specification of repair actions. Even in the context of very unreliable error detection our controller is able to estimate the current state of the monitored system and recover from failure.
Wordnet-LMF: fleshing out a standardized format for wordnet interoperability

In this paper we present Wordnet-LMF, a dialect of ISO Lexical Markup Framework that instantiates LMF for representing wordnets. Wordnet-LMF was developed in the framework of the EU KYOTO project for the specific purpose of endowing a set of wordnets with a standardized interoperability format allowing the interchange of lexico-semantic information encoded in each of them. The aim of this format is twofold a) to give a preliminary assessment of LMF, by large-scale application to real lexical resources; b) to endow WordNet with a format representation that will allow easier integration among resources sharing the same structure (i.e other wordnets) and, more importantly, across resources with different theoretical and implementation approaches.
Survival after liver resection in metastatic colorectal cancer: review and meta-analysis of prognostic factors

Background Hepatic metastases develop in approximately 50% of colorectal cancer (CRC) cases. We performed a review and meta-analysis to evaluate survival after resection of CRC liver metastases (CLMs) and estimated the summary effect for seven prognostic factors. Methods Studies published between 1999 and 2010, indexed on Medline, that reported survival after resection of CLMs, were reviewed. Meta-relative risks for survival by prognostic factor were calculated, stratified by study size and annual clinic volume. Cumulative meta-analysis results by annual clinic volume were plotted. Results Five- and 10-year survival ranged from 16% to 74% (median 38%) and 9% to 69% (median 26%), respectively, based on 60 studies. The overall summary median survival time was 3.6 (range: 1.7–7.3) years. Meta-relative risks (95% confidence intervals) by prognostic factor were: node positive primary, 1.6 (1.5–1.7); carcinoembryonic antigen level, 1.9 (1.1–3.2); extrahepatic disease, 1.9 (1.5–2.4); poor tumor grade, 1.9 (1.3–2.7); positive margin, 2.0 (1.7–2.5); >1 liver metastases, 1.6 (1.4–1.8); and >3 cm tumor diameter, 1.5 (1.3–1.8). Cumulative meta-analyses by annual clinic volume suggested improved survival with increasing volume. Conclusion The overall median survival following CLM liver resection was 3.6 years. All seven investigated prognostic factors showed a modest but significant predictive relationship with survival, and certain prognostic factors may prove useful in determining optimal therapeutic options. Due to the increasing complexity of surgical interventions for CLM and the inclusion of patients with higher disease burdens, future studies should consider the potential for selection and referral bias on survival.
Inactivation of monazomycin-induced voltage-dependent conductance in thin lipid membranes. I. Inactivation produced by long chain quaternary ammonium ions

The voltage-dependent conductance induced in thin lipid membranes by monazomycin undergoes inactivation upon the introduction of quaternary ammonium ions (QA) having a long alkyl chain (e.g. dodecyltrimethylammonium [C12]) to the side containing monazomycin. That is, in response to a step of voltage the conductance rises to a peak and then falls to a much lower steady-state value. We demonstrate that the basis of this phenomenon is the ability of QA to pass through the stimulated membrane and bind to the opposite surface. As a consequence, the surface potential on that side becomes more positive, thus reducing the voltage across the membrane proper and turning off the monazomycin-induced conductance. Because the flux of QA through the membrane increases linearly with conductance, we believe that these ions pass through the monazomycin channels. QA permeability increases with alkyl chain length; remarkably, in spite of its much larger size, C12 is about 150 times more permeant than K+. It appears, therefore, that there is a hydrophobic region of the cahnnel that favors the alkyl chain; we propose that this region is formed by the hydrophobic faces of the monazomycin channels in lipid bilayers to QA inactivation of potassium channels in the squid giant azon, and suggest that there may be a common structural feature for the two channels. It is possible that some of the inactivation phenomena in excitable cells may arise from local field changes not measurable by the recording electrodes.
An Arrow-type result for inferring a species tree from gene trees

The reconstruction of a central tendency `species tree' from a large number of conflicting gene trees is a central problem in systematic biology. Moreover, it becomes particularly problematic when taxon coverage is patchy, so that not all taxa are present in every gene tree. Here, we list four desirable properties that a method for estimating a species tree from gene trees should have. We show that while these can be achieved when taxon coverage is complete (by the Adams consensus method), they cannot all be satisfied in the more general setting of partial taxon coverage.
Array-based Electromyographic Silent Speech Interface

An electromygraphic (EMG) Silent Speech Interface is a system which recognizes speech by capturing the electric potentials of the human articulatory muscles, thus enabling the user to communicate silently. This study is concerned with introducing an EMG recording system based on multi-channel electrode arrays. We first present our new system and introduce a method to deal with undertraining effects which emerge due to the high dimensionality of our EMG features. Second, we show that Independent Component Analysis improves the classification accuracy of the EMG array-based recognizer by up to 22.9% relative, which is a first example of an EMG signal processing method which is specifically enabled by our new array-based system. We evaluate our system on recordings of audible speech; achieving an optimal average word error rate of 10.9% with a training set of less than 10 minutes on a vocabulary of 108 words.
HUBUNGAN ANTARA PERAN IBU DALAM KOMUNIKASI IBU-ANAK DENGAN PERILAKU SEKSUAL REMAJA PUTRI DI SMKN 2 PONOROGO

Masa remaja merupakan masa dimana selalu ingin mencoba-coba sesuatu yang baru, hal inilah yang bisa membawa remaja masuk pada hubungan seks pranikah dengan segala akibatnya Angka kejadian seks pranikah di Indonesia semakin tahun semakin meningkat. Penelitian ini bertujuan untuk menganalisis hubungan antara peran ibu dalam komunikasi ibu-anak dengan perilaku seksual remaja putri di SMKN 2 Ponorogo. Penelitian ini menggunakan rancangan penelitian analitik observasional cross sectional. Teknik pengambilan sampel menggunakan cluster random sampling kelas X, XI, dan XII dengan besar sampel sebanyak 94 remaja putri usia 15-20 tahun. Instrumen penelitian dalam bentuk kuesioner. Uji validitas instrumen dilakukan menggunakan SPSS Pearson Product Moment. Uji reliabilitas menggunakan rumus Alpha. Uji statistik variabel dependen dan independen menggunakan Korelasi Spearman dengan taraf signifikasi 0,05. Hasil yang didapat mayoritas responden (96,8%) pernah bersentuhan, 59,6% pernah berciuman, 2,1% pernah melakukan petting, 3,2% tidak pernah melakukan perilaku seksual apapun, dan tidak ada responden yang pernah melakukan hubungan seksual kelamin. Sebagian besar (33,0%) responden memiliki ibu yang mampu berkomunikasi cukup baik pada anak, sebanyak 29,8% responden memiliki ibu yang berkomunikasi dengan buruk, sebanyak 28,7% responden memiliki ibu yang mampu berkomunikasi baik, sebanyak 4,3% responden memiliki ibu yang berkomunikasi dengan sangat buruk dan juga yang berkomunikasi sangat baik pada anak. Hasil uji statistik diperoleh ρ=0,268 dan r=- 0,115. Nilai ρ (0, 268) <α (0,05) menunjukkan bahwa Ho diterima, sehingga dapat disimpulkan bahwa tidak ada hubungan yang signifikan antara peran ibu dalam komunikasi ibu-anak dengan perilaku seksual remaja putri di SMKN 2 Ponorogo. Hasil yang diperoleh dari penelitian ini menggambarkan bahwa tingginya angka perilaku seksual remaja putri bukan disebabkan dari faktor internal keluarga, namun dari faktor eksternal seperti pergaulan, pengaruh teman sebaya, atau media massa. Ibu yang mampu melakukan komunikasi yang baik pada anak tidak menjamin anak terhindar dari perilaku seksual remaja. Untuk peneliti selanjutnya sebaiknya menggunakan metode wawancara dan menyusun instrumen yang baik dalam pengumpulan data untuk agar dperoleh data yang lebih akurat dan mendapatkan hasil yang lebih baik.
Tracking Color marker using projective transformation for augmented reality application

This paper, presents a tracking technique based on both detection Color marker and a least squares method. The objective is to estimate the perspective transformation matrix for the current view of the camera. This technique does not require any information or computation of the camera parameters; it can be used in real time without any initialization and the user can change the camera focal without any fear of losing alignment between real and virtual object.
Extreme Learning for Evolving Hybrid Neural Networks

This paper addresses a structure and introduces an evolving learning approach to train uninorm-based hybrid neural networks using extreme learning concepts. Evolving systems are high level adaptive systems able to simultaneously modify their structures and parameters from a stream of data, online. Learning from data streams is a contemporary and challenging issue due to the increasing rate of the size and temporal availability of data, turning traditional learning methods impracticable. Uninorm-based neurons, rooted in triangular norms and co norms, generalize fuzzy neurons. Uninorms bring flexibility and generality to fuzzy neuron models as they can behave like triangular norms, triangular co norms, or in between by adjusting identity elements. This feature adds a form of plasticity in neural network modeling. An online clustering method is used to granulate the input space, and a scheme based on extreme learning is developed to train the neural network. Computational results show that the learning approach is competitive when compared with alternative evolving modeling methods.