Miracle-dz/UniFAR-FTUs huggingface dataset:
Texture Mapped Paper Pop-Ups

Origamic architecture (OA) merupakan papercraft yang dapat mereplika struktur arsitektural, pola geometri, dan objek tiga dimensi (3D) lainnya dalam bentuk pop-up hanya dengan melipat dan menggunting satu buah kertas. Rancangan image 2-dimensi yang dapat direalisasikan menjadi OA disebut OA plan. Pemberian texture pada OA plan dapat digunakan untuk menampilkan detail visual pada OA yang dihasilkan. Akan tetapi, desain OA plan cenderung memiliki bentuk geometri yang berbeda dengan objek aslinya sehingga texture objek asli tidak dapat dengan mudah diberikan kepada OA plan. Terdapat 2 metode untuk memberikan texture pada OA plan, yaitu 45o texture projection dan 90o texture projection. Metode dirancang agar dapat mencegah perembesan texture, meminimalisasi bagian OA plan yang belum mendapatkan texture (holes) dengan inpainting, dan meminimalisasi distorsi pada texture yang diberikan. Disediakan juga metode untuk memvisualisasikan OA plan yang diberi texture dalam 3-dimensi agar memudahkan pengguna dalam membayangkan hasil realisasi OA plan. Hasil pengujian menunjukkan bahwa texture yang diberikan sudah berhasil mencegah perembesan texture dan meminimalisasi holes. Metode 90o texture projection memberikan distorsi pada objek yang memiliki texture berstruktur. Metode visualisasi sudah dapat memvisualisasikan OA plan dengan baik.
The RAMESSES experiment—II. Evidence for accumulated melt beneath a slow spreading ridge from wide-angle refraction and multichannel reflection seismic profiles

The RAMESSES study (Reykjanes Axial Melt Experiment: Structural Synthesis from Electromagnetics and Seismics) targeted an apparently magmatically active axial volcanic ridge (AVR), centred on 57°45′N at the Reykjanes Ridge, with the aim of investigating the processes of crustal accretion at a slow spreading mid-ocean ridge. As part of this multicomponent experiment, airgun and explosive wide-angle seismic data were recorded by 10 digital ocean-bottom seismometers (OBSs) along profiles oriented both across- and along-axis. Coincident normal-incidence seismic, bathymetry and underway gravity and magnetic data were also collected. Forward modelling of the seismic and gravity data has revealed layer thicknesses, velocities and densities similar to those observed elsewhere within the oceanic crust near mid-ocean ridges. At 57°45′N, the Reykjanes Ridge has a crustal thickness of approximately 7.5 km on-axis. However, the crust is modelled to decrease in thickness slightly off-axis (i.e. with age), which implies that full crustal thickness is achieved on-axis and that it is subsequently thinned, most likely, by off-axis extension. Modelling also indicates that the AVR is underlain by a thin (∼100 m), narrow (∼4 km) melt lens some 2.5 km beneath the seafloor, which overlies a broader zone of partial melt approximately 8 km in width. Thus the results of this study provide the first clear evidence for a crustal magma chamber beneath any slow spreading ridge. The size and depth of this magma chamber (the melt lens and underlying zone of partial melt) are similar to those observed beneath fast and intermediate spreading ridges, which implies that the processes of crustal accretion are similar at all spreading rates. Hence the lack of previous observations of magma chambers beneath slow spreading ridges is probably temporally related to the periods of magmatic activity being considerably shorter and more widely spaced in time than at fast and intermediate spreading ridges.
Dynamic Changes During the Immune Response in T Cell–Antigen-presenting Cell Clusters Isolated from Lymph Nodes

Activation of antigen-specific T cells by mature dendritic cells in secondary lymphoid organs is a key control point of the adaptive immune response. Here we describe the ex vivo isolation of preformed multicellular clusters between T cells and antigen-presenting cells. Adoptively transferred, antigen-specific T cells segregated into individual clusters where their activation and proliferation was initiated in vivo. Transit of the T cell cohort through the cluster compartment required 32–36 h. The precise timing of the response to agonistic epitopes was remarkably invariant regardless of the T cell lineage, the major histocompatibility complex haplotype, and the antigen dose. Interestingly, initiation of cell division of T cells specific for a subdominant epitope and a weak agonist was delayed by 6 h. The results provide a basis for the analysis of short range, mutual cell–cell interactions within such confined microenvironments.
iARW: An incremental path planner algorithm based on adaptive random walks

This paper presents a new path planning algorithm that uses adaptive random walks to incrementally construct a roadmap in the robot's free configuration space. This algorithm, named Incremental Adaptive Random Walks (iARW), uses a modified version of the ARW algorithm proposed by Carpin and Pillonetto for exploring the configuration space and storing the discovered path in a roadmap. Thus, the main idea is to use bidirectional adaptive random walks to explore the configuration space but also to use and expand the roadmap whenever possible.With this approach it is possible to construct a roadmap that captures the connectivity of the free configuration space without a preprocessing phase. A comparison of our approach with other state of the art path planners illustrates the good performance of the proposed method.
A modified Glenn shunt reduces right ventricular stroke work during left ventricular assist device therapy.

OBJECTIVES Right ventricular (RV) failure is a major cause of morbidity and mortality after left ventricular assist device (LVAD) placement and remains hard to predict. We hypothesized that partial surgical exclusion of the RV with a modified Glenn shunt during LVAD treatment would reduce RV stroke work. METHODS An LVAD was implanted in eight pigs and a modified Glenn shunt was constructed. A conductance pressure-volume catheter was placed in the right ventricle through the apex. Haemodynamic data and pressure-volume loops were obtained at the following time periods: (i) baseline, (ii) open shunt, (iii) LVAD with closed shunt and (iii) LVAD and open shunt. RESULTS During LVAD therapy, the right atrial (RA) pressure increased from 9 mmHg (9-9) to 15 mmHg (12-15), P = 0.01. RV stroke volume increased from 30 ml (29-40) to 51 ml (42-53), P < 0.01. Also, RV stroke work increased to 708 mmHg ml (654-1193) from 535 mmHg ml (424-717), P = 0.04, compared with baseline. During LVAD therapy in combination with a Glenn shunt, the RA pressure decreased from 15 mmHg (12-15) to 10 mmHg (7-11) when compared with LVAD therapy only, P = 0.01. A decrease in RV stroke work from 708 mmHg ml (654-1193) to 465 mmHg ml (366-711), P = 0.04, was seen when the LVAD was combined with a shunt, not significantly different from the baseline value (535 mmHg ml). The developed pressure in the right ventricle decreased from 29 mmHg (26-32) to 21 mmHg (20-24), P < 0.01. The pressure-volume loops of the RV show a significant reduction of RV stroke work during the use of the shunt with LVAD treatment. CONCLUSIONS A modified Glenn shunt reduced RV volumes, RV stroke work and RA pressure during LVAD therapy in an experimental model of heart failure in pigs.
Effect of temperature on growth and fatty acids profile of the biodiesel producing microalga Scenedesmus acutus

Description of the subject. The present study examined the effect of temperature (15, 20, 25, 30, 35 and 40 °C) on biomass, esterified fatty acids content and fatty acid productivity of Scenedesmus acutus. Objectives. This work aimed to study the effect of variation in temperature on lipid productivity and fatty acid profiles of S. acutus as a feedstock for biodiesel production. Method. The alga was grown under different temperatures and its biomass, as well as fatty acid content and composition, were determined. Results. The maximum growth rate of S. acutus was achieved at 30 °C , but there was no significant difference in biomass productivity at 25 and 30 °C (0.41 and 0.42 g·l-1·d-1), respectively. The highest fatty acid content (104.1 mg·g-1 CDW) was recorded at low temperature (15 °C) and decreased with increasing temperature. As a result of high biomass production, fatty acids productivity showed the highest values (41.27 and 42.10 mg·l-1·d-1) at 25 and 30 °C, respectively. The proportion of saturated and mono-unsaturated fatty acids increased from 13.72 to 23.79% and from 11.13 to 33.10% of total fatty acids when the incubation temperature was raised from 15 to 40 °C, respectively. The increase of temperature from 15 to 40 °C decreased the poly-unsaturated fatty acids from 75.15% to 43.10% of total fatty acids, respectively. Conclusions. The present study concluded that incubation temperature was a critical parameter for quantitative and qualitative fatty acid compositions of S. acutus. In addition, the type and proportion of individual fatty acids, which interfere with biodiesel quality, can be modified using different incubation temperatures in order to meet the biodiesel international standards.
Robust subspace blind channel estimation for cyclic prefixed MIMO ODFM systems: algorithm, identifiability and performance analysis

A novel subspace (SS) based blind channel estimation method for multi-input, multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed in this work. With an appropriate re-modulation on the received signal blocks, the SS method can be effectively applied to the cyclic prefix (CP) based MIMO-OFDM system when the number of the receive antennas is no less than the number of transmit antennas. These features show great compatibility with the coming fourth generation (4G) wireless communication standards as well as most existing single-input single-output (SISO) OFDM standards, thus allow the proposed algorithm to be conveniently integrated into practical applications. Compared with the traditional SS method, the proposed algorithm exhibits many advantages such as robustness to channel order over-estimation, capability of guaranteeing the channel identifiability etc. Analytical expressions for the mean-square error (MSE) and the approximated Cramer-Rao bound (ACRB) of the proposed algorithm are derived in closed forms. Various numerical examples are conducted to corroborate the proposed studies.
Changes in Usual Sources of Medical Care Between 1987 and 1992

This study is a secondary analysis of data from the 1987 and 1992 National Health Interview Surveys. Analyses compared adults who do not have a usual source of care and those who identified usual sources of care in 1987 and 1992. Between these years, the estimated number of adult Americans without a usual source of care rose from 29.7 to 39.4 million. Adults were 0.75 times less likely to identify a physician's office and 1.8 times more likely to identify an outpatient clinic as that source of care in 1992 than they were in 1987. These changes were observed among Americans of all demographic and socioeconomic backgrounds. Increasing numbers of adult Americans without a usual source of care and shifts in care from physicians' offices to outpatient clinics may reflect deteriorating access to care. This may affect quality and costs of medical care, demanding continued surveillance of sources and access to care.
Camera Localization in Distributed Networks Using Trajectory Estimation

This paper presents an algorithm for camera localization using trajectory estimation (CLUTE) in a distributed network of nonoverlapping cameras. The algorithm recovers the extrinsic calibration parameters, namely, the relative position and orientation of the camera network on a common ground plane coordinate system. We first model the observed trajectories in each camera's field of view using Kalman filtering, then we use this information to estimate the missing trajectory information in the unobserved areas by fusing the results of a forward and backward linear regression estimation from adjacent cameras. These estimated trajectories are then filtered and used to recover the relative position and orientation of the cameras by analyzing the estimated and observed exit and entry points of an object in each camera's field of view. The final configuration of the network is established by considering one camera as a reference and by adjusting the remaining cameras with respect to this reference. We demonstrate the algorithm on both simulated and real data and compare the results with state-of-the-art approaches. The experimental results show that the proposed algorithm is more robust to noisy and missing data and in case of camera failure.
Storage Protein Accumulation in the Absence of the Vacuolar Processing Enzyme Family of Cysteine Proteases Online version contains Web-only data. Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.016378.

The role(s) of specific proteases in seed protein processing is only vaguely understood; indeed, the overall role of processing in stable protein deposition has been the subject of more speculation than direct investigation. Seed-type members of the vacuolar processing enzyme (VPE) family were hypothesized to perform a unique function in seed protein processing, but we demonstrated previously that Asn-specific protein processing in developing Arabidopsis seeds occurs independently of this VPE activity. Here, we describe the unexpected expression of vegetative-type VPEs in developing seeds and test the role(s) of all VPEs in seed storage protein accumulation by systematically stacking knockout mutant alleles of all four members (αVPE, βVPE, γVPE, and δVPE) of the VPE gene family in Arabidopsis. The complete removal of VPE function in the αvpe βvpe γvpe δvpe quadruple mutant resulted in a total shift of storage protein accumulation from wild-type processed polypeptides to a finite number of prominent alternatively processed polypeptides cleaved at sites other than the conserved Asn residues targeted by VPE. Although alternatively proteolyzed legumin-type globulin polypeptides largely accumulated as intrasubunit disulfide-linked polypeptides with apparent molecular masses similar to those of VPE-processed legumin polypeptides, they showed markedly altered solubility and protein assembly characteristics. Instead of forming 11S hexamers, alternatively processed legumin polypeptides were deposited primarily as 9S complexes. However, despite the impact on seed protein processing, plants devoid of all known functional VPE genes appeared unchanged with regard to protein content in mature seeds, relative mobilization rates of protein reserves during germination, and vegetative growth. These findings indicate that VPE-mediated Asn-specific proteolytic processing, and the physiochemical property changes attributed to this specific processing step, are not required for the successful deposition and mobilization of seed storage protein in the protein storage vacuoles of Arabidopsis seeds.
A genetic algorithm approach to energy consumption scheduling under demand response

The drive towards a modern, efficient and information-driven grid - the "Smart Grid" - necessitates the incorporation of computationally intelligent infrastructure. For instance, residential load management strategies may require the scheduling of appliances in order to achieve certain objectives such as load factor maximization/peak-to-average (PAR) ratio minimization or minimization of energy cost. This paper presents an approach to one of such load scheduling problem, which involves the use of the metaheuristic optimization technique that is Genetic Algorithms (GA). We consider a scenario in which dynamic pricing is adopted and the objective is to minimize the overall cost of electricity payment while satisfying a set of constraints. MATLAB was used as the simulation platform and results confirm that Genetic Algorithm can optimize energy consumption over a set of constraints we have defined, thus minimizing overall electricity cost for the Nigerian consumer in a smart pricing environment.
Performance and Usability Evaluation of a Pattern-Oriented Parallel Programming Interface for Multi-Core Architectures

Multi-core architectures have increased the power of parallelism by coupling many cores in a single chip. This becomes even more complex for developers to exploit the available parallelism in order to provide high performance scalable programs. To address these challenges, we propose the DSLPOPP (Domain-Specific Language for Pattern-Oriented Parallel Programming), which links the pattern-based approach in the programming interface as an alternative to reduce the effort of parallel software development, and achieve good performance in some applications. In this paper, the objective is to evaluate the usability and performance of the master/slave pattern and compare it to the Pthreads library. Moreover, experiments have shown that the master/slave interface of the DSL-POPP reduces up to 50% of the programming effort, without significantly affecting the performance.
A Comparative Study of Data Processing Approaches for Text Processing Workflows

Workflows are widely used in data-intensive applications since it facilities the composition of individual executables or scripts, providing an easy-to-use parallelization to domain experts. With considerable popularity of MapReduce framework, some researchers start to develop MapReduce-enabled workflows instead of general file-based ones. Meanwhile, being commercially available for nearly two decades for large-scale data processing, parallel database systems have also gotten wide attention in the support of workflows. This paper studies three realworld text processing workflows and develops them on top of several different large data processing approaches including an open source MapReduce implementation-Hadoop, a work-flow-oriented parallel database system - Parallel, and a hybrid of MapReduce and parallel DBMS - Hive. We discuss their strength/weaknesses both in terms of programmability and performance for each workflow. Our experiences and experimental results reveal some interesting trade-offs: (1) High-level query languages (SQL of Parallel and HiveQL of Hive) are helpful for expressing data selection, aggregation and calculation by typical executables; (2) To reuse existing NLP tools, it is often important to be able to track the association between a document and its annotation attached by the tool, for which the expressiveness of SQL is particularly useful; (3) Each system has similar performance in the execution of overall workflows because essentially performing executables takes most of the time, but some small differences could reveal some potential trade-offs that each system entails for workflows.
Face Feature Detection with 3 D Models

The aim of the research is to develop improved methods for matching 3D models of faces to 2D images. We are currently implementing a 3D version of a 2D technique known as the Constrained Local Model (CLM) algorithm. This method uses a joint shape and texture appearance model which generates a set of region template detectors. By generating templates using the joint model and the parameter estimates, correlating the templates with the target image and optimising the shape parameters the template can be adapted to the target image.
LIMSI @ WMT13

This paper describes LIMSI’s submissions to the shared WMT’13 translation task. We report results for French-English, German-English and Spanish-English in both directions. Our submissions use n-code, an open source system based on bilingual n-grams, and continuous space models in a post-processing step. The main novelties of this year’s participation are the following: our first participation to the Spanish-English task; experiments with source pre-ordering; a tighter integration of continuous space language models using artificial text generation (for German); and the use of different tuning sets according to the original language of the text to be translated.
Selective image encryption for Medical and Satellite Images

— Information security plays a very important role in fast growing information and communication technology. Few applications like medical image security and satellite image security needs to secure only selected portion of the image. This paper describes a concept of selective image encryption in two ways. First method divides the image in to sub blocks, then selected blocks are applied to encryption process. Second method automatically detects the positions of objects, and then selected objects are applied to encryption process. Morphological techniques are used to detect the positions of the objects in given images. These two approaches are specifically developed to encrypt the portion of an image in medical images and satellite image.
Genetic and Environmental Covariations Among Obsessive–Compulsive Symptoms, Neuroticism, and Extraversion in South Korean Adolescent and Young Adult Twins

Abstract A growing literature suggests that personality traits may be endophenotype markers for psychiatric illnesses. Although the phenotypic relationships between obsessive–compulsive disorder (OCD) and high neuroticism and low extraversion have been well documented, underlying genetic and environmental contributions to these associations have not been explored previously. Five hundred and twenty-four monozygoitc (MZ) and 228 dizygotic (DZ) pairs of adolescent and young adult twins (aged 13–24 years) drawn from the South Korean Twin Registry completed the Maudsley Obsessive Compulsive Inventory (MOCI) and the Neuroticism and Extraversion scale of the Eysenck Personality Scale by mail. The total score of MOCI (MOCIT) was significantly and positively correlated with Neuroticism (r = .44), but only weakly and negatively related to Extraversion (r = –.10). A trivariate Cholesky model was applied to the data. The additive genetic correlations in the best-fitting model were . 51 between Neuroticism and MOCIT and –. 17 between Extraversion and MOCIT, suggesting that additive genetic factors that lead to high neuroticism and low extraversion overlap with those genetic factors influencing high OC symptoms. These findings add to the cumulative evidence of the shared genetic etiology for the associations between a personality profile of high neuroticism and low extraversion and mental illnesses.
Design of a Wide Stopband Microstrip Bandpass Filter With Interdigital Resonators

In this letter, a novel microstrip bandpass filter (BPF) with interdigital resonators is presented. With the interdigital resonators and shorted asymmetrical coupled-lines, a wide bandwidth with sufficient rejection level can be achieved easily. A full-wave electromagnetic simulator IE3D is used, and the prototype of the BPF is fabricated and measured. Comparisons of simulated results and experimental data are shown; moreover, good match validates the proposed filter.
A Combined Time and Frequency Domain Approach to Channel Estimation for SFBC MIMO-OFDM Wireless Communication System

This paper presents a combined approach to channel estimation for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM). It uses both time domain and frequency domain information in the received signal to estimate the channel. Initial estimate of the channel is obtained using pilot assisted least square (LS) channel estimation. The estimate is further enhanced by extracting information through the received data symbols. A frequency domain approach is used to estimate the channel using pilots whereas time domain approach is used to enhance the estimate of the channel. The performance of the proposed estimator is studied under various channel models. The simulation study shows that this approach outperforms the pilot assisted least square channel estimation method. General Terms Channel Estimation, MIMO-OFDM, Wireless Communication.