Miracle-dz/UniFAR-FTUs huggingface dataset:
Research and analysis of links in social networks

This paper is devoted to the analysis of data and links in social networks. The approach of representation of a social network in the form of a graph is considered. The algorithms for finding communities and main nodes ("hubs"), which are the accounts that have the greatest impact on communities, have been explored and planned for finalization. Existing software environments for visualizing social network data are explored, a software package is developed.
Cannabis sativa L . extract and cannabidiol differently inhibit in vitro mediators of skin inflammation and wound injury

Skin inflammatory diseases result from complex events which include dysregulation and abnormal expression of inflammatory mediators or their receptors in skin cells. The present study investigates the potential effect of a Cannabis sativa L. ethanolic extract standardized in cannabidiol as anti-inflammatory agent in the skin, unraveling the molecular mechanisms in human keratinocytes and fibroblasts. The extract inhibited the
A DIVERSE GENERATIVE CONSTRUCTING PLANTED HASHING TECHNIQUE

Based on probe lithographed on marketer, roughly 75 % from the substance announced by Facebook users contains depiction. The embezzle data from assorted modalities will repeatedly have syntactic correlations. The bulk of the actual whole caboodle abuse a bag-of-quarrel to design textual report. Because we urge accepting a Fisher grain groundwork to suggest the textual info, we employ it to cumulative the SIFT rubric of images. We caution to encompass continued word irrorations to use phonological textual analogous ties and adopted for mix-media resuscitation. Your unit from the organization employed response may be the Gaussian restricted Boltzmann machinery. However, Fisher vectors are usually high geometric and simple. It limits the usages of FVs for big-scale applications, locus computing obligation is responsible for be thoughtful. Finally, show separation perchance well-known verify the acidities in the seam your hash codes from the reformed FV further separate hash codes of images. We levy the counseled structure SCMH on tern ion broadly used text. SCMH achieves beat results than condition-of-the-art purposes with different the lengths of hash codes. A Skip-gram design was applied to build the above-mentioned 300-spatial vectors for 3 bank phrases and discussion. For generating Fisher vectors, we abuse the usage of INRIA. Within this work, we relate the prominent extent of the counseled way further separate disfigure study manners. Even nevertheless the down do from the implied scheme requires impressive estimation cost, the calculational intricacy of internet do is negligible or identical to more resolve approaches.
공학석사학위논문 Object Tracking with Low Complexity SIFT Matching 2012

Local invariant features as a method for object recognition in images has become a widely researched area in the field of computer vision. The more powerful features which exhibit scale, rotation and viewpoint invariance require expensive scale-space searches which involve Gaussian convolutions or their approximations for detection. In addition, robust, distinct feature description and matching adds to the computational complexity. SIFT is one such robust, local invariant feature popular in image matching for stereo vision and object recognition. It comes with disadvantages such as high computational complexity and suffers from the curse of dimensionality. Features which exhibit scale and rotation invariance, such as SIFT, are notorious for expensive computation time, and often overlooked for real-time tracking scenarios. This paper proposes methods to rectify speed issues, even while improving matching accuracy. In order to harness the power of local invariant features such as SIFT in the realm of tracking, this work introduces a reduced complexity tracking system that exploits temporal locality and uses a radial metric to consistently match features between consecutive frames. In addition, descriptor modifications are performed to rectify high dimensionality errors, and poorly tracked keypoints are pruned and replaced as need, maintaining an ideal count of features in the tracking database for accuracy and low complexity. This system outperforms the standard, naive SIFT tracking system in processing time and maintains better error rates.
A Blind Closed Loop Subband Channel

The wireless communication channel are characterized by its multipath richness, specially in the unlicensed 60 GHz band where many of the modern and future wireless communication system will work. To reverse the effects of even a moderate delay spread, in the linear equalization case, will require an estimation of high order filters. Thus, there will be a demand for low complexity high quality receivers that should be able to work during sever multipath conditions. In this paper, a new blind closed loop subband equalizer is proposed to reduce the computational complexity of the equalizer and also to improve the channel tracking capability. Simulation results show a significantly improvement, 12 times, of the convergence rate without any significant performance loss.
Polysulfone / Polyvinyl alcohol thin film nanocomposite membranes : synthesis , characterization and application for desalination of saline groundwater

The aim of the present work is synthesis, characterization and performance evaluation of modified Polysulfone/ polyvinyl alcohol (PS/PVA) thin film composite (TFC) membranes. The modification was carried out for PS support layer and/or crosslinked PVA barrier layer using titanium dioxide (TiO2) nanoparticles. Gultaraldehyde (GA) was used as a cross-linker of PVA. The synthesized thin film composite (TFC) or thin film nanocomposite (TFNC) membranes were characterized by measuring the contact angle, ATR-FTIR spectroscopy and scanning electron microscopy (SEM). The membranes performance included permeate flux (L.m.hr) and salt rejection (%) was evaluated as a function of synthesis and operation conditions. The obtained results showed that the membranes prepared from PS coated with TiO2 (o.25 wt. %) for 30 min immersing time, 0.1wt. % PVA crosslinked with GA solution concentration of (3% wt. %) and cured at a temperature of 75±2°C for 60 min gave the optimum performance. Also, the modification of PS-PVA/TFC membranes using TiO2 nanoparticles improved permeate flux from 9.32 to 11.56 (L.m.hr) with a slight increase in salt rejection from 76.79 to 78%. The salt rejection percent increased with increasing the cross-linker concentration, curing time and temperature as well as applied pressure and decreased with the feed concentration and vice versa in case of permeate flux for such factors except applied pressure. The desalination of two groundwater samples (brackish and saline) were performed using the best synthesized TFNC membrane to study the behavior of hypothetical salts during the desalination process.
Inter-penetrating Polymer Network Hydrogel Tissue Expanders with Controlled Expansion and Anisotropic Properties

Self-inflating hydrogel tissue expanders with controlled and anisotropic properties are highly pursued in today’s plastic and reconstructive surgeries. This study designs an interpenetrating polymer network (IPN) selfinflating hydrogel tissue expander by crosslinking poly (DLlactic-co-glycolic acid) (PLGA) in the presence of a poly (Nvinyl-2-pyrrolidone-co-methyl methacrylate) (VP/MMA) gel base. PLGA was functionalized with acrylate end-capping before the crosslinking. The swelling behavior and the mechanical properties of the IPN hydrogels with different PLGA contents were studied and compared to plain VP/MMA hydrogels. The initial and overall expansion rate was decreased with increasing PLGA content, while the equilibrium swelling ratio decreased with an increase in PLGA crosslinking density. The delayed expansion of IPN hydrogels is attributed to the increased hydrophobicity of the networks, which is verified by the increasing values of the Flory-Huggins interaction parameter (χ). Anisotropic IPN expanders were prepared by hot pressing IPN xerogels at 161°C. Their controlled and anisotropic properties give the IPN hydrogels a great potential in the plastic and reconstructive surgeries.
Efficient Discovery of Periodic Patterns over Event Sequences

Frequent periodic pattern mining has been studied a lot in the last decade, with various algorithms already proposed for mining different kinds of periodic patterns, from event sequence, spatiotemporal data, etc. In this paper, instead of using the Maximalsubpattern Tree structure adopted widely in previous algorithms, we proposed a new algorithm under pattern-growth framework which was widely used in generalized sequential pattern mining. Based on that, we further proposed pruning/checking strategies for mining maximal periodic patterns. We further proposed a hybrid method combining the strength of both the Maximal-subpattern Tree and our proposed maximal pattern mining algorithm, to discover maximal periodic patterns more efficiently. Experimental results show that comparing to existing algorithm MTHS, our frequent periodic pattern mining algorithm is thousands times faster, and the devised maximal periodic pattern mining algorithm is even more than hundreds times faster than the former proposed frequent periodic pattern mining algorithm on some datasets. Comparing to both the two proposed frequent (maximal) pattern mining algorithms, the novel hybrid method for mining maximal patterns shows even greater performance advantage, with the running time further reduced for thousands times. Finally, we proposed a strategy for mining common frequent (maximal) periodic patterns and gave a novel case study on the discovery of common animal migration behaviors from a large real GPS-tracking dataset. Some of the discovered patterns are very interesting, like turkey vultures move to Mexico in Winter, while get back to US in Summer.
Selective Harmonic Minimization in Cascaded Multilevel Inverters

Multilevel inverter technology has emerged recently as a very important alternative in the area of highpower medium-voltage energy control. This paper presents selective harmonic elimination method for cascade multilevel converters to eliminate the specified harmonics in the output voltage. The principle of the converter is analyzed. Then the switching angles are computed to eliminate the low order harmonics in theory, and the gating signals for the converter are given. The Selective Harmonic Elimination, SHE modulation method is presented where additional notches are introduced in the multi-level output voltage. These notches eliminate harmonics at the low order/frequency and shifts it a higher order/frequency and hence the filter size is reduced without increasing the switching losses and cost of the system. Static power converters are used for many applications, such as general power supplies. This paper analyzes the performance of single phase AC-DC-AC converter, where the converter consists of two parts, an AC to DC controlled rectifier cascaded with a DC to AC multilevel inverter, so as to increase the number of voltage levels of the inverter to reduce the filter size of the output voltage of the DC-AC converter. The experimental results show that the method can effectively eliminate the specific harmonics as expected.
Overcoming the missing link of sectoral bargaining : Social partners ’ responses to temporary agency work in Slovakia

Recent changes in the Slovak labour market facilitated important changes in the interests, strategies and actions of social partners regarding temporary agency work (TAWs). The temporary agency workers have become an inclusive part of the labour market as a result of their remarkably increased presence over the last few years particularly in the industry sector. The increased presence of TAWs, coupled with the lack of governance and regulation in the TAW sector, contributed to an important shift in the strategies of employers and trade unions; and facilitated an emergence of sectoral bargaining institutions. Building on actor-centred institutionalism, resource dependence theories and social interaction, this paper studies the reasons behind the emergence of sector-level representation structures and bargaining institutions in a previously unorganized sector and in generally hostile conditions of bargaining decentralization and declining bargaining
Creative giftedness and dyslexia

Empirical studies of the relationships between dyslexia and creativity are inconsistent. While some anecdotal evidence suggests that there is a positive association between the two, some research suggests that such associations emerge in adulthood rather than in childhood or adolescence, usually as the result of adverse life experiences. The aim of this study was to examine whether adolescents with dyslexia possess superior creativity, measured through a standardised test battery, the Torrance Tests of Creative Thinking (TTCT), in comparison to age peers. Participants were additionally assessed on a modified version of the Wisconsin Association Talent and Gifted Guide (WATG). The participants in this study were students diagnosed with dyslexia (N=38) and asymptomatic students (N=38) aged 13 years four months (average). The members of the group with dyslexia had been previously diagnosed and identified as students with additional educational needs. The participants in the research group were matched with asymptomatic (students without dyslexia) participants for age, socio-economic status, ability and type of school attended. Although there were apparent indications that the adolescents with dyslexia rated themselves as less creative than their asymptomatic counterparts, they performed better on most subscales of the TTCT. However, in this study, despite the slightly higher scores of students with dyslexia, the differences regarding creativity were not statistically significant. Within the limitations of the study, no support was found for the hypothesis that adolescents with dyslexia are highly creative or even perceived themselves to be so.
Income Distribution and Economic Growth : A Complementary Cross Country Study to the Kuznets Curve

This study aims to analyze the relationship between income distribution and economic growth using cross country data. The study also investigates whether there is a certain level of Gini coefficient which maximizes GDP growth rate. The available data on Gini coefficients and GDP growth rates of 105 countries is used to test a nonlinear relationship between these two variables, namely Inequality-Growth Curve (IGC). The model is first estimated for 2001 and then the estimation is repeated for 2011. The Gini coefficient which maximizes GDP growth rate is estimated as 0,436 for 2001 and 0,464 for 2011. Also, IGC is compared with Kuznets Curve. This paper suggests that, being opposite to the common sense, developing countries should reduce income inequality to increase their GDP growth rates while developed countries should increase.
INFLUENCE OF REFINEMENT OF PRIMARY CAST STEEL STRUCTURE ON ULTRASONIC WAVE PROPAGATION VELOCITY

The work presents an attempt to determine the relationship between the refinement of the cast steel primary structure which is a result of modifying and the parameter of ultrasonic wave propagation in the material. Finding such a relationship would allow to estimate the grain size of the primary structure of selected fragments of cast steel castings with non-destructive methods. What in the long term can lead to the development of methods for estimating the value of the mechanical properties by measuring the velocity of ultrasonic wave propagation in the casting. This paper presents the results of ultrasonic wave velocity measurements in samples taken from low-alloy structural cast steel. Cast steel was modified using different modifiers to obtain diversity refinement of the primary structure. The degree of refinement of the structure was compared with the ultrasonic wave velocity measurements and the results have been analyzed and discussed.
Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?

We apply convolutional neural networks to the task of shallow morpheme segmentation using low-resource datasets for 5 different languages. We show that both in fully supervised and semi-supervised settings our model beats previous state-of-the-art approaches. We argue that convolutional neural networks reflect local nature of morpheme segmentation better than other semi-supervised approaches.
TSUNAMI INVERSION ANALYSIS OF THE GREAT EAST JAPAN EARTHQUAKE

We carried out a tsunami inversion analysis and built a tsunami source model for the Great East Japan Earthquake. We focused attention on the a) tide record, b) flooding height and run-up height, c) crustal movement and d) inundated area. The proposed source model with a magnitude (Mw) of 9.1 consists of mutually independent 80 blocks. The maximum fault slip amount which is located near the trench axis is 56.7m. We confirmed that the observed tsunami data, especially the four parameters described above, were reproduced quite accurately via the model in a well balanced manner.
Aalborg Universitet Sensitivity Analysis of Inductive Power Transfer Systems With Voltage-Fed Compensation Topologies

The output characteristics and the transfer efficiencies of Inductive Power Transfer (IPT) systems are affected by the variation of parameters such as, but not limited to, variable load, misalignment between the primary and secondary coils, and resonance frequency detuning. This paper first analyzes the resonant conditions of all voltage-fed compensation topologies in IPT systems to achieve the load-independent voltage transfer characteristic at load-independent Zero Phase Angle (ZPA) frequency. With these conditions, the parameters sensitivity to the key performance factors of the S-SP, LCC-S, LCC-P, and doublesided LCC compensated IPT systems are systematically investigated when considering the losses in coils and compensation networks. Comparisons of the quantitative sensitivity analysis and experimental results for all IPT systems are made in terms of the voltage transfer ratio and efficiency. These analyses can provide guidance for the selection of superior compensation networks to minimize the additional converter effort and simplify the control algorithm of closed-loop IPT systems.
STACKED CONVOLUTIONAL NEURAL NETWORKS FOR AUDIO TAGGING WITH NOISE LABELS Technical Report

This technical report describes the system we used to participate in task 2 of the DCASE 2019 challenge. The task is to predict the tags of audio recordings with using a small number of manuallyverified labels and a much larger number of noisy labels. In this task, we propose serveral convolutional neural networks to learn from log-mel spectrogram features. To improve the performance, different techniques preprocessing, data augmentations, loss functions and cross-validation are involved. The prediction results are then ensembled using geometric mean. On the test set used for evaluation, our system achieved a score of 0.734.
Clinical Study Evaluation of Efficacy , Safety , and Cognitive Profile of Amisulpride Per Se and Its Comparison with Olanzapine in Newly Diagnosed Schizophrenic Patients in an 8-Week , Double-Blind , Single-Centre , Prospective Clinical Trial

Background. Impaired cognitive functions in schizophrenia are the major deciding factors in response to treatment. Conventional antipsychotics have minimal impact on cognitive dysfunctions and are associated with adverse effects. Atypical antipsychotics have shown promise in treatment of cognitive and negative symptoms of schizophrenia. Efforts are underway to find out the best drug amongst atypical antipsychotics. Objective. To compare efficacy, safety, and cognitive profile of amisulpride and olanzapine in the treatment of acute psychotic exacerbations of schizophrenia. Method. A prospective, randomized, double-blind, single-center, 8-week clinical trial we used. Subjects and Treatments. Seventy four patients were treated for two months with either amisulpride (400–800 mg/d) or olanzapine (10–20 mg/d). Statistics. Mann Whitney U test we used for independent samples with P < 0.05 taken as significant. Results. Brief psychiatric rating scale (BPRS) was used as a primary measure of efficacy. Other measures of efficacy and safety were also evaluated. Both amisulpride and olanzapine groups showed equivalent improvement in psychotic symptoms on BPRS scale. Less than five percent of patients suffered adverse effects only to withdraw from the study. Olanzapine group showed statistically significant (P < 0.05) weight gain compared with amisulpride group. Amisulpride group showed significant improvement (P < 0.05) in various cognitive parameters as compared to olanzapine group.
Anderson Accelerated Douglas-Rachford Splitting

We consider the problem of non-smooth convex optimization with linear equality constraints, where the objective function is only accessible through its proximal operator. This problem arises in many different fields such as statistical learning, computational imaging, telecommunications, and optimal control. To solve it, we propose an Anderson accelerated Douglas-Rachford splitting (A2DR) algorithm, which we show either globally converges or provides a certificate of infeasibility/unboundedness under very mild conditions. Applied to a block separable objective, A2DR partially decouples so that its steps may be carried out in parallel, yielding an algorithm that is fast and scalable to multiple processors. We describe an open-source implementation and demonstrate its performance on a wide range of examples.
ELECTRON TEMPERATURE AND DENSITY OF THE TOPSIDE EQUATORIAL IONOSPHERE AS OBTAINED FROM A THEORETICAL MODEL

The electron density and temperature distribution of the equatorial and low latitude ionosphere along 75E has been investigated by simultaneously solving the continuity and momentum equations of ion and electron flux along geomagnetic field lines from the northern to the southern hemisphere. Model results are also compared with electron density and electron temperature measured in situ by the Indian SROSS C2 satellite at an altitude of ~ 500 km within the latitude belt of 31 S to 34 N and 70±30 E longitude sector. The model simulates the EIA in density and morning temperature enhancements.