Miracle-dz/UniFAR-FTUs huggingface dataset:
Microscopic Description and Prediction of Information Diffusion in Social Media: Quantifying the Impact of Topical Interests

A number of recent studies of information diffusion in social media, both empirical and theoretical, have been inspired by viral propagation models derived from epidemiology. These studies model propagation of memes, i.e., pieces of information, between users in a social network similarly to the way diseases spread in human society. Naturally, many of these studies emphasize social exposure, i.e., the number of friends or acquaintances of a user that have exposed a meme to her, as the primary metric for understanding, predicting, and controlling information diffusion. Intuitively, one would expect a meme to spread in a social network selectively, i.e., amongst the people who are interested in the meme. However, the importance of the alignment between the topicality of a meme and the topical interests of the potential adopters and influencers in the network has been less explored in the literature. In this paper, we quantify the impact of the topical alignment between memes and users on their adoption. Our analysis, using empirical data about two different types of memes, i.e., hashtags and URLs spreading through the Twitter social media platform, finds that topical alignment between memes and users is as crucial as the social exposure in understanding and predicting meme adoptions. Our results emphasize the need to look beyond social network-based viral propagation models and develop microscopic models of information diffusion that account for interests of users and topicality of information.
Distributed Prospective Memory: An Approach to Understanding how Nurses Remember Tasks

People's ability to execute future intentions, or their prospective memory (PM), is a critical aspect of cognitive work because failures can have adverse outcomes. Most research to date deals with unaided prospective memory performance outside a healthcare context. We report results from a field study investigating PM performance of intensive care nurses. Concepts from distributed cognition help to identify how nurses use physical properties of their working environment to manage PM demands. Results show that (1) PM demands can be classified using a taxonomy from aviation and (2) nurses are supported by and use properties of the environment to manage PM demands. Focusing on distributed support for prospective memory lets us study prospective memory in rich work contexts. The results inform health information system and device design and professional education.
Social innovation, social entrepreneurship and the practice of contemporary entrepreneurial philanthropy

The economic crisis has accentuated the social and economic dislocation experienced by disadvantaged communities at a time of unprecedented political and public interest in philanthropy. This has concentrated attention on the contribution that philanthropists might make in addressing socio-economic challenges, and on the role that social innovation might play in regenerating communities. This article adds to the literature on social innovation and social entrepreneurship that aims to integrate theory and empirical practice. By examining social innovation through the lens of a case study of the Community Foundation for Tyne & Wear and Northumberland, the article sheds light on how the sites and spaces of socially innovative philanthropic projects may have a bearing on their success; attention is drawn to the importance of community engagement on the part of social innovators, and the power of self-organization in re-embedding communities. It suggests that storytelling by committed philanthropists may serve as a powerful proselytizing tool for recruiting new donors.
PENGARUH METODE PEMBELAJARAN DRILL TERHADAP PRESTASI BELAJAR SENI TARI DITINJAU DARI KREATIVITAS PADA SISWA KELAS X SMK NEGERI 3 SUKAWATI

Abstrak Penelitian ini bertujuan untuk mengetahui perbedaan prestasi belajar seni tari antara siswa yang mengikuti metode pembelajaran drill dengan siswa yang mengikuti metode pembelajaran konvensional setelah dilakukan pengendalian oleh kreativitas pada siswa kelas X SMK Negeri 3 Sukawati. Penelitian ini tergolong sebagai rancangan post-test only control group design . Sampel penelitian ini adalah seluruh siswa kelas X Karawitan semester genap tahun pelajaran 2012/2013 SMK Negeri 3 Sukawati yang berjumlah 66 orang. Sampel penelitian ini berjumlah 66 orang. Teknik analisis data menggunakan Anakova. Hasil penelitian menunjukkan bahwa: (1) Terdapat perbedaan prestasi belajar seni tari antara siswa yang mengikuti metode pembelajaran drill dengan siswa yang mengikuti metode pembelajaran konvensional pada siswa kelas X SMK Negeri 3 Sukawati, (2) Terdapat perbedaan prestasi belajar seni tari antara siswa yang mengikuti metode pembelajaran drill dengan siswa yang mengikuti model pembelajaran konvensional setelah dikendalikan oleh kreativitas siswa pada siswa kelas X SMK Negeri 3 Sukawati, dan (3) Terdapat kontribusi kreativitas terhadap prestasi belajar seni pada siswa kelas X SMK Negeri 3 Sukawati sebesar 25,0%. Kata kunci: metode pembelajaran drill, prestasi belajar seni tari, dan kreativitas Abstract This research aims at investigating the difference of dancing art achievement between students following drill teaching-learning method drill teaching-learning method and those using conventional teaching-learning method after controlling students’ creativity of tenth grade students of Public Vocational School Number 3 Sukawati. This research used the posttest only control group design. The subject of this research was 66 tenth grade Karawitan (Balinese of Musik) students in the even semester of the academic year 2012/2013 in Public Vocational School Number 3 Sukawati. The data were analyzed using Ancova. The results of the research show that: (1) there is a difference of dancing art achievement between students following drill teaching-learning method drill teaching-learning method and those using conventional teaching-learning method on the tenth grade students of Public Vocational School Number 3 Sukawati, (2) there is a difference of dancing art achievement between students following drill teaching-learning method drill teaching-learning method and those using conventional teaching-learning method after controlling students’ creativity on the tenth grade students of Public Vocational School Number 3 Sukawati, (3) there is a contribution of creativity on dancing art achievement of tenth grade students of Public Vocational School Number 3 Sukawati. Keywords : drill teaching-learning method, dancing art achievement, and creativity
An Approach to Finding Similarity Between Two Community Graphs Using Graph Mining Techniques

Graph similarity has studied in the fields of shape retrieval, object recognition, face recognition and many more areas. Sometimes it is important to compare two community graphs for similarity which makes easier for mining the reliable knowledge from a large community graph. Once the similarity is done then, the necessary mining of knowledge can be extracted from only one community graph rather than both which leads saving of time. This paper proposes an algorithm for similarity check of two community graphs using graph mining techniques. Since a large community graph is difficult to visualize, so compression is essential. This proposed method seems to be easier and faster while checking for similarity between two community graphs since the comparison is between the two compressed community graphs rather than the actual large community graphs.
Angiographic and histologic analysis of experimental aneurysms embolized with platinum coils, Matrix, and HydroCoil.

BACKGROUND AND PURPOSE A report directly comparing platinum coils, Matrix coils, and HydroCoils in a single animal model does not currently exist. We evaluated and compared the performance of these three products in the embolization of experimental aneurysms. METHODS Thirty-three elastase-induced saccular aneurysms were created in rabbits. Aneurysms were embolized with Matrix coils (n = 15), HydroCoils (n = 9), or platinum coils (n = 9). The groups were compared with respect to the following parameters: aneurysm size, procedure duration, number and total length of devices deposited, angiographic occlusion score, and volumetric occlusion percentage. Follow-up angiographic and histologic features at 2, 6, and 10 weeks after embolization were analyzed. Groups were compared by using analysis of variance and chi2 tests. RESULTS No significant differences were found among groups regarding aneurysm size, total device length, initial angiographic occlusion score, or procedure time. The mean number of devices for Matrix subjects was less than that for platinum coils (P = .02) and HydroCoil (P = .03). Volumetric occlusion for HydroCoil (76%) was significantly greater (P < .0001) than both platinum coils (31%) and Matrix (23%). Angiographic durability was significantly increased in the HydroCoil group compared with Matrix (P = .03). Coil compaction was found more frequently in the Matrix group (five cases, 33%) than the HydroCoil (no cases, 0%), or platinum coil groups (two cases, 22%). The Matrix group showed greater tissue reaction compared with platinum coils (P < .05). CONCLUSION In the rabbit model, the use of HydroCoils results in improved long-term occlusion rates compared with Matrix and platinum coils. The Matrix group showed an increase in inflammation and coil compaction compared with HydroCoils and platinum coils.
Hardware-in-loop simulation of robots interacting with environment via algebraic differential equation

Hardware-in-the-loop simulation is an attractive tool to validate the functionality of space robots. It is the purpose of the hardware-in-the-loop simulation to make a rigid robot prototype behave, in contact/noncontact phases, as closely as possible to a given robot reference model that would be encountered in the real-world. We introduce a method for the hardware-in-the-loop simulation that is based on the projection of the generalized coordinates of the robot model into two subspaces representing independent and dependent coordinates. The independent coordinate is obtained via simulation by making use of its acceleration model expressed in a closed form. While, the dependent coordinate is obtained from the generalized coordinated of the linearized robot prototype acting as a double integrator on the input dependent-coordinate acceleration. It is followed by investigating the effect of external disturbance on the performance of the hardware-in-the-loop simulation, by the method of Lagrangian multiplier. Finally experimental results obtained from implementation of a single axis arm is presented.
Formulation and Evaluation of Celastrol-Loaded Liposomes

The main purpose of this study was to evaluate the intestinal absorption and the antineoplastic effect of the poorly water-soluble drug celastrol when liposomes were used as oral drug delivery system. Liposomes were prepared by the ethanol-injection method. An optimized liposome formulation composed of phospholipid, cholesterol and Tween-80 resulted in favorable encapsulation efficiency at 98.06 ± 0.94%. Homogeneous and stable particle size of 89.6 ± 7.3 nm and zeta potential of −(87.7 ± 5.8) mV were determined by laser particle size analyzer. Subsequently, the four-site perfusion rat intestinal model revealed that celastrol-loaded liposomes had improved effective permeability compared to the free drug in four intestinal segments (p < 0.05). Moreover, celastrol-loaded liposomes could also inhibit the tumor growth in C57BL/6 mice. These results suggest that liposomes could be a promising perioral carrier for celastrol.
Detection of atomic spin labels in a lipid bilayer using a single-spin nanodiamond probe

Magnetic field fluctuations arising from fundamental spins are ubiquitous in nanoscale biology, and are a rich source of information about the processes that generate them. However, the ability to detect the few spins involved without averaging over large ensembles has remained elusive. Here, we demonstrate the detection of gadolinium spin labels in an artificial cell membrane under ambient conditions using a single-spin nanodiamond sensor. Changes in the spin relaxation time of the sensor located in the lipid bilayer were optically detected and found to be sensitive to near-individual (4 ± 2) proximal gadolinium atomic labels. The detection of such small numbers of spins in a model biological setting, with projected detection times of 1 s [corresponding to a sensitivity of ∼5 Gd spins per Hz1/2], opens a pathway for in situ nanoscale detection of dynamical processes in biology.
Automatic Feature Selection for Agenda-Based Dependency Parsing

In this paper we present an in-depth study on automatic feature selection for beam-search dependency parsers. The search strategy is inherited from the one implemented in MaltOptimizer, but searches in a much larger set of feature templates that could lead to a higher number of combinations. Our models provide results that are on par with models trained with a larger set of feature templates, and this implies that our models provide faster training and parsing times. Moreover, the results establish the state of the art for some of the languages.
Selenium in the Mist Mountain Formation of Southeast British Columbia

This study documents the distribution of Selenium (Se) in the Jurassic-Cretaceous Mist Mountain Formation of southeastern British Columbia and in various materials segregated by the five coal mines in the area. This study is preliminary and will be followed up by more detailed and focused studies. The Mist Mountain Formation, which is part of the Kootenay Group (Table 1), outcrops extensively in the east Kootenays and varies in thickness from 25 to 665 metres (Gibsons, 1985). Typically 8% to 12% of the thickness of the formation is coal and in places this is distributed in over 30 seams. The rest of the formation is composed of non-marine siltstones, mudstones and sandstones. The formation is underlain by the Morrissey Formation, which is a sandstone unit that forms the footwall to most of the mining activity. This formation is underlain in turn by the Fernie Formation composed predominantly of marine shales. The Mist Mountain Formation is overlain by the Elk Formation, a non-marine sandy formation containing thin sapropelic coal seams.
Scheduling Optimization in wireless MESH Networks with Power Control and Rate Adaptation

Wireless MESH networks are a new networking paradigm that allow to extend the coverage of traditional wireless access networks with multi-hop connections through fixed wireless mesh routers. Wireless MESH networks partially replace wired backbone networks, and it is reasonable to carefully plan radio resource assignment in order to provide quality guarantees to traffic flows. Differently from ad hoc networks, energy consumption is usually not a problem with wireless MESH routers, routes are quite stable and bandwidth requirements of traffic flows can be considered almost constants. In this paper we study the scheduling optimization problem in wireless MESH networks assuming a time division multiple access (TDMA) scheme, a dynamic power control able to vary emitted power slot-by-slot, and a rate adaptation mechanism that sets transmission rates according to the signal-to-interference-and-noise ratio (SINR). Traffic quality requirements are expressed in terms of minimum bandwidth and modelled with constraints defining the number of information units (packets) that must be transmitted on each link per frame. We propose an alternative problem formulation where decision variables represent compatible sets of links active in the same slot. Approaches to solve both lower and upper bound for the problem are proposed: since compatible set variables are exponentially many, we use column generation to compute a lower bound for the problem. Heuristic approaches to compute feasible integer solutions are proposed and tested
Randomized controlled study of the effect of a butter naturally enriched in trans fatty acids on blood lipids in healthy women

Background: Whereas the negative effect of consuming trans fatty acids found in partially hydrogenated vegetable oils on cardiovascular disease (CVD) risk is well established, the effect of trans fatty acids from ruminant sources (rTFAs) on CVD risk factors has not yet been established, particularly among women. Objective: We investigated the effects of a butter naturally enriched in rTFAs, of which vaccenic acid is the predominant isomer, on plasma lipid concentrations among healthy women. Design: In a double-blind, randomized, crossover controlled study, 61 healthy women aged 19–70 y were fed 2 isoenergetic diets lasting 4 wk each. The 2 diets were defined as moderately high in rTFAs (3.7 g/d, 1.5% of daily energy) and control (0.9 g/d, 0.3% of daily energy). Results: No significant effect of the rTFA diet was found on total plasma cholesterol, LDL cholesterol, apolipoprotein B, apolipoprotein A-I, and triglyceride concentrations compared with the control diet. There was a small yet statistically significant reduction in plasma HDL-cholesterol concentrations with the rTFA diet (−2.8%; P = 0.004), which was significant (P for the BMI × treatment interaction = 0.006) among women with a BMI (in kg/m2) ≥25 (−5.2%; P = 0.004; n = 18) but not among women with a BMI <25 (−1.2%; P = 0.13; n = 43). Conclusions: These results suggest that an increase in dietary rTFAs equivalent to ∼1% of daily energy has no significant effect on LDL but may be associated with a reduction in plasma HDL-cholesterol concentrations, particularly in overweight women. This trial is registered at clinicaltrials.gov as NCT00930137.
Access to cerebrospinal fluid in piglets via the cisterna magna: optimization and description of the technique

The collection of cerebrospinal fluid is necessary in order to determine its composition. It can then be used to diagnose various diseases. The aim of the study was to develop and optimize a technique for performing safe centesis for the collection of cerebrospinal fluid in piglets and its injection through the cisterna magna. The study was divided into three phases: (1) anatomical study of cadavers, (2) in vivo application of the technique and (3) observation of recovery time. The proposed technique resulted in a safe puncture of the cisterna magna. The authors identified and confirmed the correspondence of the crista occipitalis and the wings of the atlas with the external landmarks on the cadaver by means of direct radiological visualization. The punctures were performed successfully at the first attempt in 11 out of 12 anaesthetized piglets. The technique herein described provides a reproducible safe and easy route for approaching the cisterna magna for cerebrospinal fluid collection, drug administration and gene delivery.
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers

To make the results reasonable, existing joint diagonalization algorithms have imposed a variety of constraints on diagonalizers. Actually, those constraints can be imposed uniformly by minimizing the condition number of diagonalizers. Motivated by this, the approximate joint diagonalization problem is reviewed as a multiobjective optimization problem for the first time. Based on this, a new algorithm for nonorthogonal joint diagonalization is developed. The new algorithm yields diagonalizers which not only minimize the diagonalization error but also have as small condition numbers as possible. Meanwhile, degenerate solutions are avoided strictly. Besides, the new algorithm imposes few restrictions on the target set of matrices to be diagonalized, which makes it widely applicable. Primary results on convergence are presented and we also show that, for exactly jointly diagonalizable sets, no local minima exist and the solutions are unique under mild conditions. Extensive numerical simulations illustrate the performance of the algorithm and provide comparison with other leading diagonalization methods. The practical use of our algorithm is shown for blind source separation (BSS) problems, especially when ill-conditioned mixing matrices are involved.
Determination of coordinate transformations in UAVS

Estimation of vehicle attitude during autonomous flying of Unmanned Aerial Vehicles (UAVs) can be performed with Global Positioning System (GPS). But when vehicle is flying this method results in error, hence another approach i.e., Direction Cosine Matrix (DCM) is used. But while extracting attitude (Euler Angles) of UAVs with DCM creates a drawback known as Gimbal lock which is also known as singularity problem in mathematics. This problem is due to deviation in one of the angles of attitude and leads to loss of degree of freedom. To avoid this problem the proposed technique is quaternion which represents orientation of a body. Quaternion, which is produced from rotation sequence of Euler angles and it implements Euler angles with any one of rotation sequences. This paper deals with the mathematical modelling and implementation of the quaternion in Matlab. Finally results are represented for each orientation in terms of Euler angles due to quaternion. This method is more accurate even body is under motion.
Regulation of spvR gene expression of Salmonella virulence plasmid pKDSC50 in Salmonella choleraesuis serovar Choleraesuis

The expression regulation of spvR, a regulatory gene on the virulence plasmid (pKDSC50) of Salmonella choleraesuis serovar Choleraesuis, was investigated by spvR–lacZ translational fusion. The spvR gene was found to be positively regulated by its own product, the SpvR protein, and this unusual positive auto‐regulation was repressed by the products of spvA and spvB, virulence‐associated genes present downstream from the spvR gene. Amino acid sequence analysis revealed that the amino‐terminal region of SpvB had homology with the CatM repressor protein of Acineto‐bacter calcoaceticus, which belongs to the MetR/LysR protein family. On the other hand, the sigma factor RpoS was required for expression of the spvR gene in the stationary phase of bacterial growth. The SpvR protein was also necessary for self‐activation, suggesting that an RNA polymerase holoenzyme containing RpoS requires SpvR protein in order to recognize the spvR promoter.
Improved RGB-D-T based face recognition

Reliable facial recognition systems are of crucial importance in various applications from entertainment to security. Thanks to the deep-learning concepts introduced in the field, a significant improvement in the performance of the unimodal facial recognition systems has been observed in the recent years. At the same time a multimodal facial recognition is a promising approach. This study combines the latest successes in both directions by applying deep learning convolutional neural networks (CNN) to the multimodal RGB, depth, and thermal (RGB-D-T) based facial recognition problem outperforming previously published results. Furthermore, a late fusion of the CNN-based recognition block with various hand-crafted features (local binary patterns, histograms of oriented gradients, Haar-like rectangular features, histograms of Gabor ordinal measures) is introduced, demonstrating even better recognition performance on a benchmark RGB-D-T database. The obtained results in this study show that the classical engineered features and CNN-based features can complement each other for recognition purposes.