Miracle-dz/UniFAR-FTUs huggingface dataset:
Traffic forecasting using a multi layer perceptron model

The goal of failures forecasting is to predict faults in the network, doing that it is possible to guarantee reliability and quality of service in real time to maintain the network availability and reliability and to initiate appropriate actions of restoration of 'normality'. The following article describes the process performed for implementing failures prediction system in LAN using artificial neural networks multilayer Perceptron. It describes the system, the tests made for the selection of the own parameters of the neural network like the training algorithm and the obtained results.
Dieses Modell erweitert das " Multi-Layer Perceptron " von

This thesis presents a deep neural network for word-level machine translation quality estimation. The model extends the feedforward multi-layer architecture by [Collobert et al., 2011] to learning continuous space representations for bilingual contexts from scratch. By means of stochastic gradient descent and backpropagation of errors, the model is trained for binary classification of translated words, given only the source sentence and the machine translation. We enhance this model with alignments, and unsupervised pre-training of word representations allows for leveraging large monolingual corpora for supervised quality estimation training. Evaluating it on the data provided by the Workshop on Statistical Machine Translation 2014 and 2015, the model yields competitive results across languages and datasets. A linear combination of the deep model and a shallow linear model trained on baseline features further improves over both individual models. Furthermore, the bilingual word representations learnt during supervised training for quality estimation prove useful for other cross-lingual tasks.
Adaptive Locally Linear Embedding For Multiview Face Hallucination

The traditional Locally Linear Embedding (LLE) technique was applied for face hallucination. This technique determines the optimal weights by the fixed number of neighbors for every point. Our previous work, named an adaptive locally linear embedding (ALLE), referred to a modified version of LLE was proposed to apply with frontal view face hallucination; it uses a threshold of similarity for selecting the neighbors of each point. However, frontal face is barely captured in the real world. Therefore, this paper proposes a novel ALLE for multiview face hallucination. The main objective is to generate high quality of frontal and non-frontal face images. The processing steps, according to the proposed method are operated as follows; first, a low resolution (LR) face in one of front, up, down, left or right views is fed as an input; then, the other views of such an LR image are generated by ALLE, which applies a threshold of similarity for selecting the neighbors of each point; and high resolution (HR) face images in all views of the same input object are achieved afterwards. The experimental results show that the proposed method yields the better image quality of the reconstructed frontal and non-frontal face images over the baseline methods.
An Ultra Low-Power Hardware Accelerator for Acoustic Scoring in Speech Recognition

Accurate, real-time Automatic Speech Recognition (ASR) comes at a high energy cost, so accuracy has often to be sacrificed in order to fit the strict power constraints of mobile systems. However, accuracy is extremely important for the end-user, and today's systems are still unsatisfactory for many applications. The most critical component of an ASR system is the acoustic scoring, as it has a large impact on the accuracy of the system and takes up the bulk of execution time. The vast majority of ASR systems implement the acoustic scoring by means of Gaussian Mixture Models (GMMs), where the acoustic scores are obtained by evaluating multidimensional Gaussian distributions.In this paper, we propose a hardware accelerator for GMM evaluation that reduces the energy required for acoustic scoring by three orders of magnitude compared to solutions based on CPUs and GPUs. Our accelerator implements a lazy evaluation scheme where Gaussians are computed on demand, avoiding 50% of the computations. Furthermore, it employs a novel clustering scheme to reduce the size of the acoustic model, which results in 8x memory bandwidth savings with a negligible impact on accuracy. Finally, it includes a novel memoization scheme that avoids 74.88% of floating-point operations. The end design provides a 164x speedup and 3532x energy reduction when compared with a highly-tuned implementation running on a modern mobile CPU. Compared to a state-of-the-art mobile GPU, the GMM accelerator achieves 5.89x speedup over a highly optimized CUDA implementation, while reducing energy by 241x.
A rapid non-enzymatic method for the preparation of HMW DNA from blood for RFLP studies.

In genetic linkage studies using the restriction fragment length polymorphism (RFLP) technique, it is essential to process effectively large numbers of blood samples. One of the problems faced when extracting DNA by standard methods is the requirement of deproteinizing cell digests with hazardous organic solvents like phenol, chloroform and isoamyl alcohol (1-3). The method described in this report avoids the use of any organic solvents. This is achieved by salting out the cellular proteins by dehydration and precipitation with a saturated sodium chloride solution (4). Most of the procedures also involve prolonged incubation with proteinase K (1, 4, 5). Our procedure eliminates completely the use of proteinase K treatment. The method reported here is the most economical, safe and rapid for preparation of DNA from whole blood.
Router Position-Based Cooperative Caching for Video-on-Demand in Information-Centric Networking

Information centric networking (ICN) is one of the emerging Internet paradigms proposed to overcome the shortcoming of the current host-centric Internet. With ubiquitous in-network caching, ICN can facilitate content delivery and reduce network delay. In this paper, we propose a novel collaborative caching scheme based on routers' position to cache popular videos on the edge routers which are closer to users. A priori knowledge of videos' popularity is not required as the proposed scheme adapts itself to the user requests. The benefits of our proposed approach are: light-weight, short content delivery time, and reduced network usages and publisher load. We use a simple topology to show how the proposed scheme works. Then, we use a realistic topology with real data traces to evaluate the performance of the proposed scheme. Simulation results show that our scheme outperforms existing schemes in terms of average number of hops and reduced publisher load ratio for both scenarios.
Comparison of the Locus of control in Ordinary and Blind People

Locus of control is one of the most important skills that are considered as the main characteristic of individual adaptability. Indeed, an individual with locus of control ability is one who can prioritize his/her goals and keep a balance between his/her emotions and thoughts. The purpose of this study was to compare locus of control in both normal and blind people. For this purpose, a descriptive and cross-sectional research frame was used. Also a comparative frame was employed. A sample of 80 people (40 normal and 40 blind people) was selected randomly. In order to measure the research data, scale of locus of control was used. In order to use this scale, its reliability and validity were measured and confirmed. The research data were analyzed in the SPSS. The findings revealed that the score of locus of control systems in two groups of respondents (blind and normal ones) is not different (p ≤ 0.005).
Paddy field classification with MODIS-terra multi-temporal image transformation using phenological approach in Java Island

This paper presents the paddy field classification model using the approach based on periodic plant life cycle events and how these elevations in climate as well as habitat factors, such as elevation. The data used are MODIS-Terra two tiles of H28v09 and H29v09 of 2016, consist of 46 series of 8-daily data, with 500 meter resolution in Java region. The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination of reflectance and index data. The results of the study showed that, with the reference of the Paddy Field Map from the Ministry of Agriculture (MoA), the overall accuracies of the paddy field classification results using the combination of reflectance and index data provide the highest (85.4%) among the reflectance data (83.5%) and index data (81.7%). The accuracy levels were varied; these depend on the slope and the types of paddy fields. Paddy fields on the slopes of 0-2% could be well identified by MODIS-Terra data, whereas it was difficult to identify the paddy fields on the slope >2%. Rain-fed lowland paddy field type has a lower user accuracy than irrigated paddy fields. This study also performed correlation (r2) between the analysis results and the statistical data based on district and provincial boundaries were >0.85 and >0.99 respectively. These correlations were much higher than the previous study results, which reached 0.49-0.65 (hilly-flat areas of county-level), and 0.80-0.88 (hilly-flat areas of provincial level) for China, and reached 0.44 for Indonesia.
Nature of consistency effect in naming non-phonetic phonograms

This study investigates why Lee et al. (2005) noted an interaction of character frequency and phonetic-sound consistency during their experiment in naming non-phonetic phonograms. To evaluate whether the phonetic-radical consistency produced their results, the balance of summed frequency of friends and the context of fillers are considered. The result shows these factors changing difficulty across conditions and causing Lee's et al. findings. Based on the realization of their mistake, the author suggests that a complete theoretical framework of the orthography-to-phonology correspondence should consider the qualitative and quantitative aspects with equal importance.
Interactive local adjustment of tonal values

This paper presents a new interactive tool for making local adjustments of tonal values and other visual parameters in an image. Rather than carefully selecting regions or hand-painting layer masks, the user quickly indicates regions of interest by drawing a few simple brush strokes and then uses sliders to adjust the brightness, contrast, and other parameters in these regions. The effects of the user's sparse set of constraints are interpolated to the entire image using an edge-preserving energy minimization method designed to prevent the propagation of tonal adjustments to regions of significantly different luminance. The resulting system is suitable for adjusting ordinary and high dynamic range images, and provides the user with much more creative control than existing tone mapping algorithms. Our tool is also able to produce a tone mapping automatically, which may serve as a basis for further local adjustments, if so desired. The constraint propagation approach developed in this paper is a general one, and may also be used to interactively control a variety of other adjustments commonly performed in the digital darkroom.
Oligomeric state of membrane transport proteins analyzed with blue native electrophoresis and analytical ultracentrifugation.

Blue native electrophoresis is used widely for the analysis of non-dissociated protein complexes with respect to composition, oligomeric state and molecular mass. However, the effects of detergent or dye binding on the mass and stability of the integral membrane proteins have not been studied. By comparison with analytical ultracentrifugation, we have evaluated whether the oligomeric state of membrane transport proteins is reflected reliably with blue native electrophoresis. For the analysis we have used two well-characterized transporters, that is, the major facilitator superfamily protein LacS and the phosphotransferase system EII(Mtl). For another member of the major facilitator superfamily, the xyloside transporter XylP from Lactobacillus pentosus, the complete analysis of the quaternary structure determined by analytical ultracentrifugation and freeze-fracture electron microscopy is presented. Our experiments show that during blue native electrophoresis the detergent bound to the proteins is replaced by the amphipathic Coomassie brilliant blue (CBB) dye. The mass of the bound CBB dye was quantified. Provided this additional mass of bound CBB dye is accounted for and care is taken in the choice and concentration of the detergent used, the mass of LacS, XylP and EII(Mtl) and four other membrane (transport) proteins could be deduced within 10 % error. Our data underscore the fact that the oligomeric state of many membrane transport proteins is dimeric.
Social Determinants of Depression in Later Life

This dissertation thesis adds to the understanding of the social etiology of depression in later life from a theory based, empirical perspective. By means of three different research questions, the essays of this dissertation shed light on the social causes of depression from different angles: the associations between widowhood and depression as well as retirement and depression are used as examples for the impact of critical life events on mental health in later life. A third research question investigates on the life course perspective on depression in later life by examining the relationship between family background in childhood, personal educational attainment, and depressive symptoms. Critical life events and the life course perspective serve as frameworks within which the importance of social roles and resources as well as subjective perceptions of objective situations is examined. The common database used in the empirical analyses is the “Survey of Health, Ageing, and Retirement in Europe” (SHARE), a longitudinal survey that combines extensive cross-national information on the socio-economic status, health and family relationships of Europe’s elderly population.
Translocation of Threatened New Zealand Falcons to Vineyards Increases Nest Attendance, Brooding and Feeding Rates

Anthropogenic landscapes can be rich in resources, and may in some cases provide potential habitat for species whose natural habitat has declined. We used remote videography to assess whether reintroducing individuals of the threatened New Zealand falcon Falco novaeseelandiae into a highly modified agricultural habitat affected the feeding rates of breeding falcons or related breeding behavior such as nest attendance and brooding rates. Over 2,800 recording hours of footage were used to compare the behavior of falcons living in six natural nests (in unmanaged, hilly terrain between 4 km and 20 km from the nearest vineyard), with that of four breeding falcon pairs that had been transported into vineyards and nested within 500 m of the nearest vineyard. Falcons in vineyard nests had higher feeding rates, higher nest attendance, and higher brooding rates. As chick age increased, parents in vineyard nests fed chicks a greater amount of total prey and larger prey items on average than did parents in hill nests. Parents with larger broods brought in larger prey items and a greater total sum of prey biomass. Nevertheless, chicks in nests containing siblings received less daily biomass per individual than single chicks. Some of these results can be attributed to the supplementary feeding of falcons in vineyards. However, even after removing supplementary food from our analysis, falcons in vineyards still fed larger prey items to chicks than did parents in hill nests, suggesting that the anthropogenic habitat may be a viable source of quality food. Although agricultural regions globally are rarely associated with raptor conservation, these results suggest that translocating New Zealand falcons into vineyards has potential for the conservation of this species.
k-Regret Queries with Nonlinear Utilities

In exploring representative databases, a primary issue has been finding accurate models of user preferences. Given this, our work generalizes the method of regret minimization as proposed by Nanongkai et al. to include nonlinear utility functions. Regret minimization is an approach for selecting k representative points from a database such that every user's ideal point in the entire database is similar to one of the k points. This approach combines benefits of the methods top-k and skyline; it controls the size of the output but does not require knowledge of users' preferences. Prior work with k-regret queries assumes users' preferences to be modeled by linear utility functions. In this paper, we derive upper and lower bounds for nonlinear utility functions, as these functions can better fit occurrences such as diminishing marginal returns, propensity for risk, and substitutability of preferences. To model these phenomena, we analyze a broad subset of convex, concave, and constant elasticity of substitution functions. We also run simulations on real and synthetic data to prove the efficacy of our bounds in practice.
Dissociation of a 110-kD peripheral membrane protein from the Golgi apparatus is an early event in brefeldin A action

Brefeldin A (BFA) has a profound effect on the structure of the Golgi apparatus, causing Golgi proteins to redistribute into the ER minutes after drug treatment. Here we describe the dissociation of a 110-kD cytoplasmically oriented peripheral membrane protein (Allan, V. J., and T. E. Kreis. 1986. J. Cell Biol. 103:2229-2239) from the Golgi apparatus as an early event in BFA action, preceding other morphologic changes. In contrast, other peripheral membrane proteins of the Golgi apparatus were not released but followed Golgi membrane into the ER during BFA treatment. The 110-kD protein remained widely dispersed throughout the cytoplasm during drug treatment, but upon removal of BFA it reassociated with membranes during reformation of the Golgi apparatus. Although a 30-s exposure to the drug was sufficient to cause the redistribution of the 110-kD protein, removal of the drug after this short exposure resulted in the reassociation of the 110-kD protein and no change in Golgi structure. If cells were exposed to BFA for 1 min or more, however, a portion of the Golgi membrane was committed to move into and out of the ER after removal of the drug. ATP depletion also caused the reversible release of the 110-kD protein, but without Golgi membrane redistribution into the ER. These findings suggest that the interaction between the 110-kD protein and the Golgi apparatus is dynamic and can be perturbed by metabolic changes or the drug BFA.
Comparisons of Interfacial Phe, Tyr, and Trp Residues as Determinants of Orientation and Dynamics for GWALP Transmembrane Peptides

Aromatic amino acids often flank the transmembrane alpha helices of integral membrane proteins. By favoring locations within the membrane–water interface of the lipid bilayer, aromatic residues Trp, Tyr, and sometimes Phe may serve as anchors to help stabilize a transmembrane orientation. In this work, we compare the influence of interfacial Trp, Tyr, or Phe residues upon the properties of tilted helical transmembrane peptides. For such comparisons, it has been critical to start with no more than one interfacial aromatic residue near each end of a transmembrane helix, for example, that of GWALP23 (acetyl-GGALW5(LA)6LW19LAGA-[ethanol]amide). To this end, we have employed 2H-labeled alanines and solid-state NMR spectroscopy to investigate the consequences of moving or replacing W5 or W19 in GWALP23 with selected Tyr, Phe, or Trp residues at the same or proximate locations. We find that GWALP23 peptides having F5, Y5, or W5 exhibit essentially the same average tilt and similar dynamics in bilayer membranes of 1,2-dilauroylphosphatidylcholine (DLPC) or 1,2-dioleoylphosphatidylcholine (DOPC). When double Tyr anchors are present, in Y4,5GWALP23 the NMR observables are markedly more subject to dynamic averaging and at the same time are less responsive to the bilayer thickness. Decreased dynamics are nevertheless observed when ring hydrogen bonding is removed, such that F4,5GWALP23 exhibits a similar extent of low dynamic averaging as GWALP23 itself. When F5 is the sole aromatic group in the N-interfacial region, the dynamic averaging is (only) slightly more extensive than with W5, Y5, or Y4 alone or with F4,5, yet it is much less than that observed for Y4,5GWALP23. Interestingly, moving Y5 to Y4 or W19 to W18, while retaining only one hydrogen-bond-capable aromatic ring at each interface, maintains the low level of dynamic averaging but alters the helix azimuthal rotation. The rotation change is about 40° for Y4 regardless of whether the host lipid bilayer is DLPC or DOPC. The rotational change (Δρ) is more dramatic and more complex when W19 is moved to W18, as Δρ is about +90° in DLPC but about −60° in DOPC. Possible reasons for this curious lipid-dependent helix rotation could include not only the separation distances between flanking aromatic or hydrophobic residues but also the absolute location of the W19 indole ring. For the more usual cases, when the helix azimuthal rotation shows little dependence on the host bilayer identity, excepting W18GWALP23, the transmembrane helices adapt to different lipids primarily by changing the magnitude of their tilt. We conclude that, in the absence of other functional groups, interfacial aromatic residues determine the preferred orientations and dynamics of membrane-spanning peptides. The results furthermore suggest possibilities for rotational and dynamic control of membrane protein function.
Dynamic multi-faceted topic discovery in twitter

Microblogging platforms, such as Twitter, already play an important role in cultural, social and political events around the world. Discovering high-level topics from social streams is therefore important for many downstream applications. However, traditional text mining methods that rely on the bag-of-words model are insufficient to uncover the rich semantics and temporal aspects of topics in Twitter. In particular, topics in Twitter are inherently dynamic and often focus on specific entities, such as people or organizations. In this paper, we therefore propose a method for mining multifaceted topics from Twitter streams. The Multi-Faceted Topic Model (MfTM) is proposed to jointly model latent semantics among terms and entities and captures the temporal characteristics of each topic. We develop an efficient online inference method for MfTM, which enables our model to be applied to large-scale and streaming data. Our experimental evaluation shows the effectiveness and efficiency of our model compared with state-of-the-art baselines. We further demonstrate the effectiveness of our framework in the context of tweet clustering.
Improvement of Accuracy for 2D Marker-Based Tracking Using Particle Filter

This paper presents a method for improving accuracy of marker-based tracking using a 2D marker for augmented reality. We focus on that tracking becomes unstable when the view direction of the camera is almost perpendicular to a marker plane. Especially, tracking of Z axis which is perpendicular to the marker plane (X-Y) becomes unstable. For improving tracking accuracy in this case, we search rotation parameters that are the fittest to projected pattern based on the particle filter. By using particle filtering technique, then, our method can correctly estimate rotation parameters of the camera which are important to track the 3D coordinate system and improve the accuracy of the 3D coordinate system. This method can reduce jitters between frames, which is a big problem in AR. In the experiment, we demonstrate that our method can improve the tracking accuracy of the 3D coordinate system compared with just using ARToolkit.