Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of the Source of GFS Medium-Range Track Errors in Hurricane Sandy (2012)

AbstractMedium-range forecasts of Hurricane Sandy’s track were characterized by widely diverging solutions, with some suggesting that Sandy would make landfall over the mid-Atlantic region of the United States, while others forecast the storm to move due east to the north of Bermuda. Here, dynamical processes responsible for the eastward-tracking forecasts are diagnosed using an 80-member ensemble of experimental Global Forecast System (GFS) forecasts initialized five days prior to landfall. Comparing the ensemble members with tracks to the east against those with tracks to the west indicates that the eastern members were characterized by a lower-amplitude upper-tropospheric anticyclone on the poleward side of Sandy during the first 24 h of the forecast, which in turn was associated with a westerly perturbation steering wind. The amplification of this ridge in each set of members was modulated by differences in the advection of potential vorticity (PV) by the irrotational wind associated with Sandy’s seco.
Determining Metacognitive Strategies of Secondary School Students Regarding Listening Skill / Ortaokul Öğrencilerinin Dinleme Becerisine Yönelik Olarak Kullandıkları Üstbiliş Stratejilerinin Belirlenmesi

Bu arastirmanin amaci, ortaokul ogrencilerinin dinleme oncesinde, dinleme surecinde ve dinleme sonrasinda kullandiklari ustbilis stratejilerini saptamaktir. Nitel arastirma desenlerinden durum calismasi olarak desenlenen arastirmada Cukurova, Yuregir ve Seyhan ilcelerinde bulunan, alti farkli okulda ogrenim goren 24 ogrenciyle gorusmeler yapilmistir. Soz konusu ogrenciler belirlenirken amacli ornekleme yontemlerinden maksimum cesitlilik ornekleme yontemi kullanilmistir. Elde edilen veriler NVivo Nitel Veri Analizi Programi kullanilarak analiz edilmistir. Arastirma sonucunda dinleme oncesinde ogrencilerin cogunun tahmin stratejisini kullandigi, tahmin stratejisine yonelik olarak en cok dinleyecekleri metnin basligina bakarak icerigi tahminde bulunmaya calistiklari, planlama stratejisini ise tahmin stratejisine nazaran daha az ogrencinin kullandigi saptanmistir. Ayrica dinleme oncesinde hicbir strateji kullanmayan ogrencilerin de bulundugu tespit edilmistir. Dinleme surecinde izleme stratejisinin daha cok kullanildigi gorulmustur. Dinleme sonrasinda ise ogrencilerin tumunun anlamayi degerlendirmeye yonelik stratejiler kullandigi, en cok dinledikleriyle ilgili sorulari cevapladiklari ve dinledikleri metni ozetledikleri saptanmis, en az kullanilan stratejinin amaca ulasmayi degerlendirme oldugu tespit edilmistir.
Framing Tension for Game Generation

Emotional progression in narratives is carefully structured by human authors to create unexpected and exciting situations, often culminating in a climactic moment. This paper explores how an autonomous computational designer can create frames of tension which guide the procedural creation of levels and their soundscapes in a digital horror game. Using narrative concepts, the autonomous designer can describe an intended experience that the automated level generator must adhere to. The level generator interprets this intent, bound by the possibilities and constraints of the game. The tension of the generated level guides the allocation of sounds in the level, using a crowdsourced model of tension.
Nonlinear iterative learning by an adaptive Lyapunov technique

We consider parametrically uncertain systems satisfying a matching condition. A standard Lyapunov adaptive design for stabilization is modified to ensure a monotonically decreasing parametric error. This modified controller is used to learn a control which forces the state to reach a neighbourhood of the origin at a time t>0 in a finite number of learning passes of finite length. A performance analysis is completed. The iterative learning tracking problem is also considered. Corresponding results can also be obtained for strict feedback systems via adaptive backstepping, and this is briefly sketched.
Frictional Labor Mobility

We build a dynamic model of migrationwhere, in addition to usual mobility costs,workers face spatial frictions that decrease their ability to compete for distant job opportunities. We estimate the model on a matched employer-employee panel dataset describing labor market transitions within and between the 100 largest French cities. Our identification strategy is based on the premise that frictions affect the frequency of job transitions, while mobility costs impact the distribution of acceptedwages. We find that: (i) controlling for spatial frictions reduces mobility cost estimates by one order of magnitude; (ii) the urban wage premium is driven by better opportunities for local job-to-job transitions in larger cities; (iii) migration dramatically reduces lifetime inequalities due to initial location; (iv) labor mobility policies based on relocation subsidies are inefficient, unlike switching from nationwide to local minimum wages.
Effect of frequency filtering of face images on attention bias of children with autism and normal children

Background and Aim: Visual information by a range of different frequencies transmitted and visual neurons are sensitive to different frequencies for processing this information. The present study was done for examine the difference of attention to filtered and non filtered images in children with autism and normal children. Materials and Methods: In present cross sectional study, thirty children with autism and thirty normal children matched in age and sex compared in filtered stimuli of faces with dot probe task. Data was analysed with Repeated Measures ANOVA test and version 18 of spss. Results: children with autism and normal children had significant difference in reaction time to filtered faces. Children with autism more attend to high frequency images than low frequency images in compare to normal children and they have lower reaction time than normal children. Conclusion: Frequency filter visual information can lead to more attention in children with autism, and it could be considered children's education and therapeutic interventions. Key words: Autism, Frequency Filtering, Attention Bias
Independent Components of Optical Flows Have MSTd-Like Receptive Fields

1% describe in this paper the properties of indepcr~dent comporients of optical flow of moving objects. Video sequences of objects seen by a n observer moving a t various angles, directions and distances are used to produce optical flow maps. Tliese maps are tl1e11 processed using independent component analysis wl~ich yields filters that resemble thc receptive fields of dorsal medial superior temporal cells of the primate brain. Contraction, expansion, rotation and translation receptive fields have been identified. Our results support Barlow's sensory coding theory and is in-line with other work that dealt with the indeperide~~t components of image and video intensities.
Race, Class, and Gender: Prospects for an All-Inclusive Sisterhood

The concept of sisterhood has been an important unifying force in the contemporary women's movement. By stressing the similarities of women's secondary social and economic positions in all societies and in the family, this concept has been a binding force in the struggle against male chauvinism and patriarchy. However, as we review the past decade, it becomes apparent that the cry "Sisterhood is powerful! " has engaged only a few segments of the female population in the United States. Black, Hispanic, Native American, and Asian American women of all classes, as well as many working-class women, have not readily identified themselves as sisters of the white middle-class women who have been in the forefront of the movement. This article examines the applications of the concept of sisterhood and some of the reasons for the limited participation of racially and ethnically distinct women in the women's movement, with particular reference to the experience and consciousness of Afro-American women. The first section presents a critique of sisterhood as a binding force for all women and examines the limitations of the concept for both theory and practice when applied to women who are neither white nor middle class. In the second section, the importance of women's perception of themselves and their place in society is explored as a way of understanding the differences and similarities between Black and white women. Data from two studies, one of college-educated Black women and the other of Black female household workers, are presented to illuminate both the ways in which the structures of race, gender, and class intersect in the lives of Black women and the women's perceptions of the impact of these structures on their lives. This article concludes with a discussion of the pros-
Deformations of glued G_2-manifolds

We study how a gluing construction, which produces compact manifolds with holonomy G 2 from matching pairs of asymptotically cylindrical G 2 -manifolds, behaves under deformations. We show that the gluing construction deﬁnes a smooth map from a moduli space of gluing data to the moduli space M of torsion-free G 2 -structures on the glued manifold, and that this is a local diﬀeomorphism. We use this to partially compactify M , including it as the interior of a topological manifold with boundary. The boundary points are equivalence classes of matching pairs of torsion-free asymptotically cylindrical G 2 -structures.
Interactive Real-time Translation via the Internet

The Internet offers a tremendous opportunity for experiments with real-time machine translation (MT) dialogues. Interchanges may be typed, or speech recognition (SR) techniques might be used to accept spoken input. In either case, given the number of ambiguities still escaping automatic resolution, interactive disambiguation for both components seems likely to remain important in many Internet applications for some time to come. In fact, simple concatenation of interactive SR and interactive MT may offer a "low road" to "quick and dirty" speech translation, as a pragmatic near-term alternative to tightly integrated systems aiming for more automatic operation. Disambiguation at the speech recognition stage is particularly important as a foundation for speech translation, in view of the need to "kill ambiguity before it multiplies". I briefly discuss interactive disambiguation for MT. Interactive disambiguation for speech recognition is the next topic: isolated-word speech recognition is seen as an especially interactive input mode with several advantages which are usually overlooked. Discussion then turns to ways of transmitting translated text via the Internet, with consideration of ftp and Internet Relay Chat. A pioneering demo of speech translation over the Interact organized by Kowalski, Rosenberg, and others is described, and possible alternative architectures are examined.
Nonlinear Communication System With Harmonic Diversity

This paper presents the concept and demonstration of harmonic diversity for wireless communication, which makes use of multiple harmonic radio frequency (RF) channels with respect to the carrier frequency. Rather than frequency and space diversities widely used today to improve multipath fading, signal quality and spectral efficiency, the proposed scheme does not require multiple RF transceiver front-ends. The advantages of inherent RF device nonlinear characteristics are harnessed to produce and process harmonics within single transceiver. Even though distinct harmonic channels will exhibit different order of phase shifts, the analysis shows that such phase offsets can be compensated by adjusting the phase of local oscillator (LO) at receiver end. Extending the framework of the Shannon theorem, an M-channel harmonic communication system is shown to reduce the minimum required signal-to-noise ratio (SNR) at the input of receiver by M-times. In addition, this work indicates that the power consumption of transmitter can be significantly reduced up to 66% than the conventional ones. Through the analysis of channel capacity, the harmonic system is proved to outperform the single channel counterpart especially when SNR is low. To validate the correctness of the proposed concept, a series of experiments are carried out to emulate the developed theoretical models. For instance, a three-channel harmonic communication system is prototyped, involving certain RF harmonic components designed for demonstration. The retrieved signal strengths are examined with different phase setting of receiving LO, and various modulation techniques are applied for estimating the system performances. All measured results are in agreement with their simulated counterparts, thereby demonstrating the correctness and usefulness of the proposed theories and techniques for nonlinear communication systems of harmonic diversity.
A Proteomic Analysis of Seed Development in Brassica campestri L

To gain insights into the protein dynamics during seed development, a proteomic study on the developing Brassica campestri L. seeds with embryos in different embryogenesis stages was carried out. The seed proteins at 10, 16, 20, 25 and 35 DAP (days after pollination), respectively, were separated using two-dimensional gel electrophoresis and identities of 209 spots with altered abundance were determined by matrix-assisted laser desorption ionization time-of-flight/time-of-flight mass spectrometry (MALDI-TOF/TOF MS). These proteins were classified into 16 groups according to their functions. The most abundant proteins were related to primary metabolism, indicating the heavy demand of materials for rapid embryo growth. Besides, the high amount of proteins involved in protein processing and destination indicated importance of protein renewal during seed development. The remaining were those participated in oxidation/detoxification, energy, defense, transcription, protein synthesis, transporter, cell structure, signal transduction, secondary metabolism, transposition, DNA repair, storage and so on. Protein abundance profiles of each functional class were generated and hierarchical cluster analysis established 8 groups of dynamic patterns. Our results revealed novel characters of protein dynamics in seed development in Brassica campestri L. and provided valuable information about the complex process of seed development in plants.
The relationship between family characteristics and height in Sardinia at the turn of the twentieth century

Abstract This paper is intended as a contribution to the debate on the determinants of physical stature in the past and it specifically investigates whether, in Sardinia, height − considered as a proxy of the share of household resources allocated to a child’s growth − was influenced by the number of brothers and sisters amongst whom parents had to distribute available resources. This study is limited to the male population, because military records represent the only source at our disposal providing historical data on height. The community studied is the town of Alghero, located on the north-western coast of Sardinia, at the turn of the twentieth century. We have adopted a longitudinal approach, thanks to the rich dataset reconstructed for Alghero, using different sources including family, socioeconomic and anthropometric indicators. The results, in line with the resource dilution hypothesis, show that competition within the household was of some importance and that the effects on height due to scarcity of resources were particularly evident amongst farmers, the most representative socioeconomic status group in Alghero. A significant contribution to the stature reached in adulthood was also given by the socioeconomic status of the family or else by other individual characteristics.
Using Artificial Neural Networks to Implement Information Fusion in Digital Identity Management Systems

The management of identities of the citizens, public institutions and other organisation has been the core function of the government for years now. The increase in the number of users accessing online services using communication devices such as computers, mobile phone and cards such credit cards has prompted most governments and business organizations to change the way they do business and manage their identity information. This technology and globalisation has also seen most Internet users being vulnerable to identity fraud, which is on the increase and costing the global industry excessive amounts. In this paper we propose Digital Identity Management System (DIMS) as a solution for managing digital identity information. The system proposed uses technologies like artificial intelligence and biometrics on the current open networks to maintain the security and privacy of users and service providers in a transparent, reliable and efficient way. DIMS in this paper will use Multimodal Authentication which will be implemented using a technique of information fusion with artificial neural networks to combine the user credentials for optimum recognition of a user.
Segmentation of Hippocampus in MRI Using Watersnakes

The application of watersnakes for segmentation of the hippocampus on one slice of MR image has been investigated . This method integrates the watershed transform and the active contour algorithm. The watershed transform, based on mathematical morphology, is powerful and flexible for segmentation. However, it does not allow the characteristics of region boundaries to be included into the way that active contour algorithm do. So, over-segmentation is in the result, even to hippocampus. For watersnakes algorithm, the primitive contour of hippocampus can be obtained using watershed transform. Based on energy-driven, the contour of hippocampus develops into the ultimate result. In the process of energy-driven, the information relating to characteristics of region boundaries is involved.
alpha-Bungarotoxin receptors on neurons isolated from turtle retina: molecular heterogeneity of bipolar cells

We studied localization of specific [125I]-alpha-bungarotoxin (alpha- BTX) receptors on neurons dissociated from the adult turtle retina. Cells isolated from papain-treated retinas retained complex morphologies and were readily identifiable with cell classes (photoreceptors, Muller cells, multipolar and bipolar cells). Levels of alpha-BTX receptors, measured by filtration assays, averaged 120 fmol/mg of protein whether or not retinas were treated with papain. Light microscope autoradiographs of isolated cells showed that only bipolar neurons had receptors for alpha-BTX. In the presence of d- tubocurarine, no cells were labeled above background. Receptors were localized both close to and far from known sites of synaptic contacts. Highly labeled bipolar cells had grains over Landolt clubs, cell bodies, and axons as well as over dendrites, but lightly labeled cells had few grains over axons and cell bodies. Overall, most receptors occurred on dendrites, suggesting the activity of cellular mechanisms capable of directing receptor molecules to specific subcellular positions. The receptor phenotype was not expressed all or none, as autoradiographs of individual bipolar cells showed a wide spectrum of receptor levels. A maximum level of about 30,000 receptors/cell was seen. Unlabeled bipolar cells also were prevalent (70%), and this group included virtually all “displaced” type bipolar cells. The data show molecular heterogeneity both between and within retina cell classes.
Regional, Multilateral, and Unilateral Trade Policies of Mercosur for Growth and Poverty Reduction in Brazil

The authors estimate that the Free Trade Agreement of the Americas (FTAA), the EU-MERCOSUR agreement, and multilateral trade policy changes will all be beneficial for Brazil. The Brazilian government strategy of simultaneously negotiating the FTAA and the EU-MERCOSUR agreement, while supporting multilateral liberalization through the Doha Agenda, will increase the benefits of each of these policies. The authors estimate that the poorest households typically gain roughly three to four times the average for Brazil from any of the policies considerethe United States protects its most highly protected markets. Both the FTAA and the EU-MERCOSUR agreements are net trade-creating for the countries involved, but excluded countries almost always lose from the agreements. The authors estimate that multilateral trade liberalization of 50 percent in tariffs and export subsidies results in gains to the world more than four times greater than either the FTAA or the EU-MERCOSUR agreement. This shows the continued importance to the world trading community of the multilateral negotiations.
An implementation of spectrum usage rights for liberalization of the radio spectrum

This paper presents one possible approach for liberalization of the radio spectrum based around spectrum usage rights (SURs) which are technology and usage neutral. This is challenging technically because of the complexity of defining rights which are flexible and technology-neutral while retaining sufficient safeguards against interference. The work presented here is part of an ongoing process of defining and testing SURs. Ofcom is currently considering SURs, though is not committed to implementing them at this stage, and will issue further discussion documents on this area in due course.
Class-specific sparse codes for representing activities

In this paper we investigate the effectiveness of class specific sparse codes in the context of discriminative action classification. The bag-of-words representation is widely used in activity recognition to encode features, and although it yields state-of-the art performance with several feature descriptors it still suffers from large quantization errors and reduces the overall performance. Recently proposed sparse representation methods have been shown to effectively represent features as a linear combination of an over complete dictionary by minimizing the reconstruction error. In contrast to most of the sparse representation methods which focus on Sparse-Reconstruction based Classification (SRC), this paper focuses on a discriminative classification using a SVM by constructing class-specific sparse codes for motion and appearance separately. Experimental results demonstrates that separate motion and appearance specific sparse coefficients provide the most effective and discriminative representation for each class compared to a single class-specific sparse coefficients.
Sustainability of EU public finances

We use a policy rule framework and focus on the response of the primary surplus to accumulated public debt to test a sufficient condition for sustainability. The evidence we report suggests that sustainability was prevalent in many EU countries before Maastricht, but also that the Maastricht impulse induced the shift towards sustainability in some of them. Additionally, although a clear distinction emerges in terms of the visibility of the Maastricht stress between the euro bloc, on the one hand, and the non-euro EU countries, the US and Japan, on the other, there is no evidence of bloc differences in terms of the long term soundness of public finances. On the basis of our analysis and results, we highlight the potential policy relevance of the reaction of the primary surplus to accumulated debt in the debate on the proper balance between fiscal stabilization and discipline in EMU.
Extracting Features from Point Set Model

This paper present an method for feature extraction from point set. Our algorithm use principle curvatures to ¿ag potential feature points. Using an improved weight sensitive moving least squares, we developed a new approach to detect potential feature curves. The potential feature points are enhanced by projecting the points onto the local potential feature curves. Then smooth the projected points by employing an optimized principal covariance analysis approach. Finally achieve smooth feature curves after resolving gaps and relaxing the results.