bluuebunny/crossref_metadata_2025 huggingface dataset:
Financing Model for the Development of Latvian Athletes
Authors: Lauva Mārtiņš , Grāvītis Uldis
Published: October 2018

The organization of Latvian sports has come a long way since its foundation in the period of independence between the first and second World Wars. The following situation has developed in the organisational structure in sport in Latvia, individual sports and training expenses for individuals in these disciplines are financed by the state, whereas, team sports depend on funding provided by local governments, private sponsors and contributors. Subsidies to enable the participation of national teams in international games are allocated from the state budget, but there is no support system for the best representatives of team sports in order to develop their individual skill, as with individual disciplines. A support system for team athletes can facilitate success of a particular kind of sport at an international level. The youth sports system is mainly based on sports schools, which are maintained by local governments and are developing the most talented future athletes. The necessity for the establishment of specialized boardingschools, to bring together the best representatives in each kind of sport, in each age group nationwide, as well as the best professional coaches, is being frequently accentuated. Deficiencies in the public system can be remedied by attracting private capital investors. Organizations operating under the aegis of the Ministry of Education and Science have developed criteria for the allocation of funding to provide training for athletes. The respective allocated funding is intended just for the improvement of the individual skills of athletes. Due to the current economic situation, it is obvious that funding is insufficient to achieve all goals.
The Effect of Speed Training on Sprint and Agility Performance in 15-Year-Old Female Soccer Players
Authors: Mathisen Gunnar Elling , Pettersen Svein Arne
Published: October 2018

The main aim of this study was to investigate the effects of short burst speed and change-of -direction exercises on sprint and agility performance in youth female soccer players 15.5 (± 0.7) years. One training group (n=10) followed an eight-week, once per week training program consisting of short-burst sprinting exercises in addition to two normal soccer training, while a control group (n=9) followed three traditional soccer training session. Pre-and post-tests assessed significant improvement in 10 m sprint, pre 1.99 s (± 0.08), post 1.91 s (± 0.09), 20 m sprint pre 3.53 s (± 0.15), post 3.42 s (± 0.15), and agility performance, pre 8.23 s (± 0.31), post 7.80 s (± 0.33). Control group (15.1 years (± 0.7) did not demonstrate significant change in performance during the intervention period. The results demonstrate that a training program of short burst high speed exercises improve linear sprint and agility performance in youth female soccer players, beyond the gain of traditional soccer training consisting of small-sided games.
Synthesis and structural characterization of neutral hexacoordinate silicon(IV) complexes containing salophen and thiocyanato-N ligands
Authors: González-García Gerardo , Pérez Astrid , López Jorge A. , Puello-Polo Esneyder , González-García Andrés
Published: October 2018

The reaction of the H2salophen ligand, 2,2′-((1E,1′E)-(1,2-phenylenebis(azanylylidene))bis (methanylylidene))diphenol, with one molar equivalent of Si(NCS)4, MeSi(NCS)3 (13), or HMeSi(NCS)2 afforded neutral hexacoordinate silicon complexes, which have an-NCS bi-functionality (complex 1) and mono-functionality (complex 14). The reaction of Si(NCS)4 with the H2salophen-type ligand1,1′-((1E,1′E)-(1,2-phenylenebis(azanylylidene))bis(methanylylidene)) bis(naphthalen-2-ol) (H2Noph), afforded the hexacoordinate silicon complex 15, which has an-NCS bi-functionality. Single-crystal X-ray structural and elemental analyses were used to characterize and confirm the structure of the starting material 13 and complexes 1, 14, and 15. The complexes were characterized in solution by 1H, 13C, and silicon-29 nuclear magnetic resonance (29Si NMR) and in the solid state by 29Si cross-polarization/magic angle spinning (CP/MAS) NMR. Because of the poor solubility of complex 1, it was only possible to characterize it in the solid state by 13C and 29Si CP/MAS NMR and in solution by 1H NMR.
Crystal structure of 1-((R)-(2′-(dimethylamino)-[1,1′-binaphthalen]-2-yl))-3-((S)-2-hydroxy-1-phenylethyl)thiourea, C31H29N3OS
Authors: Zhang Jun na , Liu Peng , Wei He
Published: October 2018

C31H29N3OS, orthorhombic, P212121, (no. 19), a = 8.7252(5) Å, b = 15.6732(8) Å, c = 18.9746(9) Å, V = 2594.8(2) Å3, Z = 4, R
gt(F) = 0.0689, wR
ref(F
2) = 0.1179, T = 276(2) K.
The optimal choices of animal models of white matter injury
Authors: Zeng Yan , Wang Huiqing , Zhang Li , Tang Jun , Shi Jing , Xiao Dongqiong , Qu Yi , Mu Dezhi
Published: October 2018

White matter injury, the most common neurological injury in preterm infants, is a major cause of chronic neurological morbidity, including cerebral palsy. Although there has been great progress in the study of the mechanism of white matter injury in newborn infants, its pathogenesis is not entirely clear, and further treatment approaches are required. Animal models are the basis of study in pathogenesis, treatment, and prognosis of white matter injury in preterm infants. Various species have been used to establish white matter injury models, including rodents, rabbits, sheep, and non-human primates. Small animal models allow cost-effective investigation of molecular and cellular mechanisms, while large animal models are particularly attractive for pathophysiological and clinical-translational studies. This review focuses on the features of commonly used white matter injury animal models, including their modelling methods, advantages, and limitations, and addresses some clinically relevant animal models that allow reproduction of the insults associated with clinical conditions that contribute to white matter injury in human infants.
Musculoskeletal pain in multiple body sites and work ability in the general working population: cross-sectional study among 10,000 wage earners
Authors: Bayattork Mohammad , Jakobsen Markus D. , Sundstrup Emil , Seidi Foad , Bay Hans , Andersen Lars L.
Published: October 2018

Background and aims

Musculoskeletal pain may negatively affect work ability, especially when work demands are high and/or physical capacity of the worker is low. This study investigated the association between intensity of musculoskeletal pain in multiple body regions and work ability among young and old workers with sedentary and physical demanding jobs.

Methods

Currently employed wage earners (n=10,427) replied to questions about pain intensity, work ability, and physical work demands. The odds ratio (OR) for having a lower level of work ability in relation to the physical demands at work were modeled using logistic regression controlled for various confounders.

Results

The OR for lower work ability increased with higher pain intensity in all regions among workers with sedentary and physical work. The same pattern was observed among workers <50 years and ≥50 years in both work types. The association was quite consistent across age and work activity groups, although it tended to be more pronounced among those with physically demanding work in some of pain regions.

Conclusions

This study shows that increasing pain intensity in multiple sites of the body is associated with lower work ability. This was seen for both younger and older workers as well as those with sedentary and physical work.

Implications

Physical workers with multiple-site pain may especially be at increased risk of the consequences of reduced work ability. Therefore, extra attention is needed and this group may benefit from better targeted preventive measures.
Recessive Action in Colm Tóibín’s "Brooklyn"
Authors: Raghinaru Camelia
Published: October 2018

Colm Tóibín’s 2009 novel Brooklyn accompanies Eilis Lacey, a native of Enniscorthy, Ireland of the 1950s on a reluctant voyage across the Atlantic. Her passage reconstructs a common experience of immigration and exile to New York for the Irish working class seeking to escape the lack of prospects in small-town Ireland after the Second World War. Caught as she is between two homes—the traditional Irish culture she emerges from and the new capitalist society of America to which she emigrates—Eilis is placed in a polemical relationship to the public sphere, staked on multiple grounds of in-betweenness: she is a woman, Irish, and an exile. Belonging, for her, is posited on a complex understanding of the tensions between national and transnational identities. Eilis’s parochialism, at first, and cosmopolitanism, later on, are both decisive characteristics that become driving forces behind her social integration and marriage prospects. She is initially barred from promising job and marriage opportunities due to her naivety and lack of sophistication. As an Irish female immigrant, Eilis becomes in the course of the novel a cosmopolitan from the margins, one of the newly uprooted, and ultimately a split self.
Masculinities, History and Cultural Space: Queer Emancipative Thought in Jamie O’Neill’s At Swim, Two Boys
Authors: Milewski Jarosław
Published: October 2018

At Swim, Two Boys, a 2001 novel by Jamie O’Neill, tells a story of gay teen romance in the wake of the Easter Rising. This paper considers the ways in which the characters engage in patterns of masculine behaviour in a context that excludes queer men, and the rhetorical effect of transgressive strategies to form a coherent identity. These patterns include involvement with the masculine and heteronormative nationalist movement, as well as a regime of physical exercise, and a religious upbringing in 20th-century Ireland. The strategies of broadening the practices of masculinity include their renegotiation and redefinition, as well as attempts to (re)construct the Irish and the gay canons of history and literature. These strategies, as exemplified by character development, become a rhetorical basis for the novel’s main argument for inclusiveness. This analysis deals with the central metaphors of space and continuity in the novel in the light of a struggle between identities. It also observes the tradition of parallels drawn between the emasculated position of the gay man and the Irish man at the beginning of the 20th century, and O’Neill’s rhetorical deployment of the shared telos in construction of a coherent gay Irish revolutionary identity.
Blindness in the Beckettland of Malfunctioning
Authors: Uchman Jadwiga
Published: October 2018

Many of Beckett characters suffer from different kinds of disabilities and impairments, this being one of the ways of punishing them for “the eternal sin of having been born.” The article discusses blindness in Waiting for Godot, Endgame and All That Fall. In the first of these plays blindness afflicts Pozzo during the interval between the two acts, that is during a single night. Combined with the loss of his watch it is indicative of his entering the subjective realm of timelessness. The blindness of Hamm in Endgame and his inability to walk make him dependant on Clov who is unable to sit, which recalls Pozzo’s dependence on Lucky in the second act. Similarly, the blind Mr Rooney also must get help from other people to be able to move around. In the case of all three plays blindness must be perceived on a literal, as well as metaphorical level.
“The Heart of this People is in its right place”: The American Press and Private Charity in the United States during the Irish Famine
Authors: Hamera Paweł
Published: October 2018

The potato blight that struck Ireland in 1845 led to ineffable suffering that sent shockwaves throughout the Anglosphere. The Irish Famine is deemed to be the first national calamity to attract extensive help and support from all around the world. Even though the Irish did not receive adequate support from the British government, their ordeal was mitigated by private charity. Without the donations from a great number of individuals, the death toll among the famished Irishmen and Irishwomen would have been definitely higher. The greatest and most generous amount of assistance came from the United States. In spite of the fact that the U.S. Congress did not decide to earmark any money for the support of famine-stricken Ireland, the horrors taking place in this part of the British Empire pulled at American citizens’ heartstrings and they contributed munificently to the help of the Irish people. Aiding Ireland was embraced by the American press, which, unlike major British newspapers, lauded private efforts to bring succour to the Irish. Such American newspapers as the Daily National Intelligencer, the New York Herald and the Liberator encouraged their readers to contribute to the relief of Ireland and applauded efforts to help the Irish. The aim of this essay is to argue that the American press, in general, played a significant role in encouraging private charity in the United States towards the Irish at the time of An Gorta Mór and, thus, helped to save many lives.
The First Constitutional Government of the Minnesota Anishinaabeg
Authors: Krausová Anna
Published: October 2018

In this paper I trace the development of Native American constitutionalism in the early twentieth century. Specifically, I focus on the first constitutional government of the White Earth Nation, located in northwestern Minnesota, which in the period from 1913 to 1927 was part of a larger confederative arrangement, called the General Council of the Chippewa. The purpose of this paper is to show the importance of this inter-reservation government for the preservation of White Earth Anishinaabe cultural continuity from which revitalization efforts of the late twentieth and early twenty-first century grew. Using archival resources, I pay attention to Anishinaabe governing practices and their ethical dimension that can be understood in the light of Anishinaabe philosophy which was an integral part of everyday life. My findings suggest that the course of institutional development set by the creation of the General Council in 1913 influenced the path of White Earth governance for the rest of the century.
Numerical Study of Unsteady Pulsed Suction through Endwall Bleed Holes in a Highly Loaded Compressor Cascade
Authors: Zhang Hongxin , Chen Shaowen , Wang Songtao , Wang Zhongqi
Published: October 2018

Unsteady pulsed suction (UPS) was applied as an unsteady flow control (UFC) technique in a certain highly loaded compressor cascade to control the flow separations. Only two bleed holes symmetrically mounted on the endwalls (one on the upper endwall and another on the lower endwall) were set up to achieve steady constant suction (SCS) and UPS. The improvements in aerodynamic performance by SCS and UPS under different time-averaged suction flow rates are firstly investigated and compared. The related unsteady aerodynamic parameters of UPS such as excitation frequency, excitation location, pitch angle, and skew angle are discussed and analyzed in detail. The results show that UPS can provide a better flow control effect than SCS with the same time-averaged dimensionless suction flow rate in the control of flow separation. The aerodynamic performance of compressor cascades can be significantly enhanced by UPS when unsteady aerodynamic parameters are in their optimum ranges. Based on the optimum parameters for UPS, the total pressure loss coefficient is reduced by 19 % only with the time-averaged dimensionless suction flow rate ms
=0.4 %.
Multienzymatic in situ hydrogen peroxide generation cascade for peroxygenase-catalysed oxyfunctionalisation reactions
Authors: Pesic Milja , Willot Sébastien Jean-Paul , Fernández-Fueyo Elena , Tieves Florian , Alcalde Miguel , Hollmann Frank
Published: October 2018

There is an increasing interest in the application of peroxygenases in biocatalysis, because of their ability to catalyse the oxyfunctionalisation reaction in a stereoselective fashion and with high catalytic efficiencies, while using hydrogen peroxide or organic peroxides as oxidant. However, enzymes belonging to this class exhibit a very low stability in the presence of peroxides. With the aim of bypassing this fast and irreversible inactivation, we study the use of a gradual supply of hydrogen peroxide to maintain its concentration at stoichiometric levels. In this contribution, we report a multienzymatic cascade for in situ generation of hydrogen peroxide. In the first step, in the presence of NAD+ cofactor, formate dehydrogenase from Candida boidinii (FDH) catalysed the oxidation of formate yielding CO2. Reduced NADH was reoxidised by the reduction of the flavin mononucleotide cofactor bound to an old yellow enzyme homologue from Bacillus subtilis (YqjM), which subsequently reacts with molecular oxygen yielding hydrogen peroxide. Finally, this system was coupled to the hydroxylation of ethylbenzene reaction catalysed by an evolved peroxygenase from Agrocybe aegerita (rAaeUPO). Additionally, we studied the influence of different reaction parameters on the performance of the cascade with the aim of improving the turnover of the hydroxylation reaction.
Effect of Ground Granulated Blast Furnace Slag (GGBFS) on Mechanical Properties of Roller-Compacted Concrete Pavement
Authors: Aghaeipour Arash , Madhkhan Morteza
Published: November 2018

Because of various convenient features, such as high manufacturing speed, cost effectiveness, and high strength at low ages, roller-compacted concrete (RCC) has found growing use in the construction of concrete pavements. This study investigated the effect of ground granulated blast furnace slag on the mechanical properties (compressive and tensile strength and modulus of rupture) of RCC at the ages of 28 and 90 days. For this purpose, 40 preliminary RCC mix designs based on slag contents of 0, 20, 40, and 60 % (by weight of cementitious materials), moisture contents of 4, 4.75, 5.5, 6.25 and 7 % (by total weight of cementitious materials and aggregates), and cementitious material contents of 12 and 15 % (by weight of aggregate) were devised and tested to determine the optimum moisture content for eight primary mix designs. The primary mix designs were used to make 144 specimens for the evaluation of targeted mechanical properties. The results showed that the moisture content that was needed to reach maximum compaction increased with increasing slag content. The highest strengths were observed in the specimens that contained 40 % slag, which all exhibited equal or greater strength than the corresponding slag-free specimens. The scanning electron microscope images showed that this difference can be attributed to the better filling of pores and cracks with small-sized slag particles, which outperform cement particles in this respect. It seems that there is an optimum level for replacing cement with slag in order to achieve improved strength and that exceeding this level will lead to strength reduction. In this study, this optimum level was found to be 40 % slag. Moreover, increasing the cementitious material content from 12 to 15 % was found to increase the compressive strength, tensile strength, and modulus of rupture by reducing the water-to-cement ratio.
A Novel Method for Evaluating Biaxial Stresses by Ultrasonic Critical Refracted Longitudinal Waves
Authors: Li Yukun , Yu Wenguang , Liu Li , Huang Xiusong , Shi Furui , Zhang Yanlong , Liu Zijian
Published: November 2018

The ultrasonic critically refracted longitudinal wave (Lcr wave) method is an effective tool for measuring surface stresses in a nondestructive way. Whether the stresses are uniaxial or biaxial, the result of the measurements depends on the ultrasonic time-of-flight difference and the stress coefficient. Besides these, the measuring direction is also a factor to be considered. However, this method can only be used to determine the stress parallel to the direction of wave propagation without considering the influence of the stress perpendicular to the direction of wave propagation. After carrying out a large number of experiments, it was found that the stress perpendicular to the direction of wave propagation has a significant effect on the results obtained. Meanwhile, in a biaxial stress state, the proportional relationship that is obtained between the variation in the stress of the specimens and the variation in the time of flight of Lcr waves is not valid. Instead, the proportional relationship between the variation in strain and the ultrasonic time-of-flight difference is established. Based on the acoustoelastic effect and generalized Hooke’s law, the concept of a strain coefficient is proposed. The longitudinal wave acoustoelastic equation under a biaxial stress state is derived for further study. This equation is applicable to calculating uniaxial and biaxial stresses and provides an effective method for measuring biaxial stress fields on the surfaces of materials.
Comparison of Team and Participant Ratings of Event Dependence: Inferential Style, Cognitive Style, and Stress Generation
Authors: Scallion Laura M. , Cummings Jorden A.
Published: October 2018

Introduction: Previous research has linked negative cognitive styles with stress generation. However, measures of cognitive styles have replied on ratings for hypothetical events, not experienced events. We examined the relationship between stress generation and attributional style for experienced events (i.e., inferential style) at both macro and daily levels.

Methods: We measured stress generation in college students using the traditional objective team ratings (i.e., observer) as well as via participants’ own ratings (i.e., actor), which we argue captures more information and is consistent with calls for participant-centered research.

Results: Cognitive style and inferential style positively correlated, indicating consistency between these two forms of assessment. Actor and observer identified events were significantly correlated for both dependent and independent events, suggesting that participants and teams are consistent in these categorizations. Results from both studies showed that inferential style was associated with actor but not observer identified dependent events.

Discussion: Our findings provide some of the first evidence for the role of inferential style in actor identified stress generation and indicate that it is useful to examine both participant and observer ratings of stressful life events.
Algorithms for Olfactory Search across Species
Authors: Baker Keeley L. , Dickinson Michael , Findley Teresa M. , Gire David H. , Louis Matthieu , Suver Marie P. , Verhagen Justus V. , Nagel Katherine I. , Smear Matthew C.
Published: October 2018

Localizing the sources of stimuli is essential. Most organisms cannot eat, mate, or escape without knowing where the relevant stimuli originate. For many, if not most, animals, olfaction plays an essential role in search. While microorganismal chemotaxis is relatively well understood, in larger animals the algorithms and mechanisms of olfactory search remain mysterious. In this symposium, we will present recent advances in our understanding of olfactory search in flies and rodents. Despite their different sizes and behaviors, both species must solve similar problems, including meeting the challenges of turbulent airflow, sampling the environment to optimize olfactory information, and incorporating odor information into broader navigational systems.
A busca da verdade por meio da ciência
Authors: Telles Bruno , Dias Filho Claudemir Rodrigues , Gomes Juliano de Andrade , Tocantins Rogerio de Medeiros
Published: October 2018

A Nação encontra-se em um período de polarização política por divergências ideológicas, que já há algum tempo extrapola o limite do bom senso pela intolerância e radicalismo. Ataques a presidenciáveis não se limitam apenas ao debate no campo político, extrapolando para o âmbito familiar, religioso e íntimo, chegando ao extremo de agressão física em tentativa de homicídio.Na era moderna, enquanto alguns desejam a regulação da mídia, outros clamam pela liberdade de imprensa. De fato, o controle de opiniões por meio da mídia tradicional está menos eficiente. A população não mais busca obter informações apenas nas tradicionais mídias de televisão, rádio, jornais e revistas. As redes sociais ou mídias digitais têm demonstrado um alto poder de disseminação de informações e têm assumido protagonismo como palco democrático para disseminação de pensamentos e ideias. O poder da informação é ilimitado e seus usuários deveriam usufruir os conteúdos postados com cautela, verificando sempre a veracidade da informação, respeitando a opinião do próximo e levando sempre em consideração a famosa liberdade de expressão. Entretanto, neste período de polarização política, usuários mal-intencionados disseminam nas redes sociais informações errôneas, sem fundamento ou inverídicas. São as denominadas Fake News.
Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus
Authors: Ben Daya Ibrahim , Noguchi Mamiko , Callaghan Jack P. , Wong Alexander
Published: October 2018

In this paper, we proposed an automated histological analysis systemfor quantifying microstructural damage accumulation to the annulusfibrosus. This system takes in a digital histology image anduses Gaussian mixture model based segmentation, followed byconnected components analysis to extract and label possible clefts.The image is then refined through spatial and size constraints. Finally,the required statistics for quantifying microstructural damageare calculated.
IR Shape From Shading Enhanced RGBD for 3D Scanning
Authors: Lunscher Nolan , Younes Georges , Chacra David Abou , Leopold Henry , Pinto Jeremy , Zelek John
Published: October 2018

RGBD Cameras such as the Microsoft Kinect that can quickly provideusable depth maps have become very affordable, and thusvery popular and abundant in recent years. Beyond gaming, RGBDcameras can have numerous applications, including their use in affordable3D scanners. These cameras however are limited in theirability to capture finer details. We explore the use of additional3D reconstruction algorithms to enhance the depth maps producedfrom RGBD cameras, allowing them to capture more detail.
Scaled Monocular Visual SLAM
Authors: Younes Georges , Asmar Daniel , Zelek John , Chacra David Abou , Leopold Henry , Pinto Jeremy , Lunscher Nolan
Published: October 2018

The fundamental shortcoming underlying monocular-based localizationand mapping solutions (SfM, Visual SLAM) is the fact thatthe obtained maps and motion are solved up to an unknown scale.Yet, the literature provides interesting solutions to scale estimationusing cues from focus or defocus of a camera. In this paper, wetake advantage of the scale offered by image focus to properly initializeVisual SLAM with a correct metric scale. We provide experimentsshowing the success of the proposed method and discussits limitations.
Noise Suppression and Contrast Enhancement via Bayesian Residual Transform (BRT) in Low-Light Conditions
Authors: Chung Audrey G. , Wong Alexander
Published: October 2018

Very low-light conditions are problematic for current robotic visionalgorithms as captured images are subject to high levels of ISOnoise. We propose a Bayesian Residual Transform (BRT) model forjoint noise suppression and image enhancement for images capturedunder these low-light conditions via a Bayesian-based multiscaleimage decomposition. The BRT models a given image as thesum of residual images, and the denoised image is reconstructedusing a weighted summation of these residual images. We evaluatethe efficacy of the proposed BRT model using the VIP-LowLightdataset, and preliminary results show a notable visual improvementover state-of-the-art denoising methods.
A Bayesian Multi-Scale Framework for Photoplethysmogram Imaging Waveform Processing
Authors: Chwyl Brendan , Amelard Robert , Clausi David , Wong Alexander
Published: October 2018

Photoplethysmography imaging (PPGI) is an increasingly populartechnique for remotely creating signals with a plethora of medicalinformation, referred to as PPGI waveforms. However, PPGI waveformsare often heavily affected by illumination variation and motionartefacts. Current PPGI waveform processing methods are usefulfor estimating heart rate, however, structural detail is not preserved,rendering the signal incapable of providing additional medical information.For this reason, we propose a multi-scale framework basedon the Bayesian residual transform which aims to suppress noiseand preserve structural details necessary for extracting cardiovascularinformation beyond the scope of heart rate. Experiments conductedon a dataset consisting of 24 different PPGI waveforms andcorresponding PPG waveforms captured via a finger pulse oximetersuggests a high level of noise and ambient illumination variationsuppression is achieved while signal fidelity is largely retained.
Towards Global Localization Using Global Descriptors
Authors: Azzi Charbel , Asmar Daniel , Fakih Adel , Zelek John
Published: October 2018

3D pose of a camera with respect to a 3D representation of thescene. IBL, despite being a trivial problem for small scenes, becomesquite challenging as the size of the scene grows. Aside fromthe computational burden, matching against a very large numberof 3D keypoints spanning a wide variety of viewpoints, illumination,and areas is a very unreliable process that results in a largenumber of outliers and ambiguous situations. In recent years, anumber of approaches have attempted to address the problem usingparadigms such as bag-of-words, features co-occurrence andothers, with varying degrees of success. This paper explores theuse of global descriptors, in particular GIST, to tackle this problem.We present a system that relies on a similarity measure derivedfrom GIST to qualify a limited number of 3D points for the matchingprocess, hence reducing the problem to its small size counterpart.Our results on a standard dataset show that our system canachieve better localization accuracy than the state of the art at afraction of the computational cost, which can used towards globallocalization.
Lane Discovery in Traffic Video
Authors: Miller Nicholas , Swart David M. , Mishra Akshaya , Achkar Andrew
Published: October 2018

Video sensing has become very important in Intelligent Transportation Systems (ITS) due to its relative low cost and non-invasive deployment. An effective ITS requires detailed traffic information, including vehicle volume counts for each lane in surveillance video of a highway or an intersection. The multiple-target, vehicle-tracking and counting problem is most reliably solved in a reduced space defined by the constraints of the vehicles driving within lanes. This requires lanes to be pre-specified. An off-line pre-processing method is presented which automatically discovers traffic lanes from vehicle motion in uncalibrated video from a stationary camera. A moving vehicle density map is constructed, then multiple lane curves are fitted. Traffic lanes are found without relying on possibly noisy tracked vehicle trajectories.
Art from Algorithms: Saliency-Guided Digital Projections
Authors: Greenberg Sara , Wong Alexander
Published: October 2018

Saliency algorithms provide a measure of which sections in an imageare important or informative. This can be valuable to digitalartists who wish to produce works that build layers of abstractionor augmentation onto an input image. Using a frameworkbased on the Texture-Illumination Guided Global Energy Response(TIGGER) to access two types of saliency measurements, a multidisciplinaryprojection project, Nebula, has been produced, in whichstarscapes are created in near real time from depth images.
Deep Quality: A Deep No-reference Quality Assessment System
Authors: Dash Prajna Paramita , Mishra Akshaya , Wong Alexander
Published: October 2018

Image quality assessment (IQA) continues to garner great interestin the research community, particularly given the tremendousrise in consumer video capture and streaming. Despite significantresearch effort in IQA in the past few decades, the area of noreferenceimage quality assessment remains a great challenge andis largely unsolved. In this paper, we propose a novel no-referenceimage quality assessment system called Deep Quality, which leveragesthe power of deep learning to model the complex relationshipbetween visual content and the perceived quality. Deep Qualityconsists of a novel multi-scale deep convolutional neural network,trained to learn to assess image quality based on training samplesconsisting of different distortions and degradations such as blur,Gaussian noise, and compression artifacts. Preliminary results usingthe CSIQ benchmark image quality dataset showed that DeepQuality was able to achieve strong quality prediction performance(89% patch-level and 98% image-level prediction accuracy), beingable to achieve similar performance as full-reference IQA methods.
Polyploidism in Deep Neural Networks: m-Parent Evolutionary Synthesis of Deep Neural Networks in Varying Population Sizes
Authors: Chung Audrey G. , Fieguth Paul , Wong Alexander
Published: October 2018

Evolutionary deep intelligence was recently proposed to organicallyproduce highly efficient deep neural network architecturesover successive generations. Thus far, current evolutionary synthesisprocesses are based on asexual reproduction, i.e., offspringneural networks are synthesized stochastically from a single parentnetwork. In this study, we investigate the effects of m-parentsexual evolutionary synthesis (m = 1, 2, 3, 5) in combination withvarying population sizes of three, five, and eight synthesized networksper generation. Experimental results were obtained usinga 10% subset of the MNIST handwritten digits dataset, and showthat increasing the number of parent networks results in improvedarchitectural efficiency of the synthesized networks (approximately150x synaptic efficiency and approximately 42â€“49x cluster efficiency)while resulting in only a 2â€“3% drop in testing accuracy.
Effects of Spatial Transformer Location on Segmentation Performance of a Dense Transformer Network
Authors: Abou-Chacra David , Zelek John
Published: October 2018

Semantic segmentation solves the task of labelling every pixel inan image with its class label, and remains an important unsolvedproblem. While significant work has gone into using deep learningto solve this problem, almost all the existing research uses methodsthat do not make modifications on spatial context considered for thepixel being labelled. Spatial information is an important cue in taskssuch as segmentation, reusing the same spatial span for every pixeland every label may not be the best approach. Spatial TransformerNetworks have shown promising results in improving classificationperformance of existing networks by allowing networks to activelymanipulate their input data to achieve better performance. Our workshows the benefit of incorporating Spatial Transformer Networksand their corresponding decoders into networks tailored to semanticsegmentation. Our experiments show an improvement in performanceover baseline networks when using networks augmentedwith Spatial Transformers.
Skin Lesion Segmentation using Deep Hypercolumn Descriptors
Authors: Ramachandram Dhanesh , Taylor Graham W.
Published: October 2018

We present a image segmentation method based on deep hypercolumndescriptors which produces state-of-the-art results for thesegmentation of several classes of benign and malignant skin lesions.We achieve a Jaccard index of 0.792 on the 2017 ISIC SkinLesion Segmentation Challenge dataset.
Foot Depth Map Point Cloud Completion using Deep Learning with Residual Blocks
Authors: Lunscher Nolan , Zelek John
Published: October 2018

Fit is extremely important in footwear as fit largely determines performanceand comfort. Current footwear fit estimation mainly usesonly shoe size, which is extremely limited in characterizing theshape of a foot or the shape of a shoe. 3D scanning presents asolution to this, where a foot shape can be captured and virtuallyfit with shoe models. Traditional 3D scanning techniques have theirown complications however, stemming from their need to collectviews covering all aspects of an object. In this work we explore adeep learning technique to compete a foot scan point cloud frominformation contained in a single depth map view. We examine thebenefits of implementing residual blocks in architectures for this application,and find that they can improve accuracies while reducingmodel size and training time.
Estimating Optimal Depth of VGG Net with Tree-Structured Parzen Estimators
Authors: Yoo Sunghwan , Haider Masoom A. , Khalvati Farzad
Published: October 2018

Deep convolutional neural networks (CNNs) have shown astonishingperformances in variety of fields. However, different architecturesof the networks are required for different datasets, and findingright architecture for given data has been a topic of great interest incomputer vision communities. One of the most important factors ofthe CNNs architecture is the depth of the networks, which plays asignificant role in avoiding over-fitting. Grid Search is widely usedfor estimating the depth, but it requires huge computation time. Motivatedby this, a method for finding an optimal architecture depth isintroduced, which is based on a hyper-parameter optimizer calledTree-Structured Parzen Estimators (TPE). In this work, we showthat the TPE is capable of estimating the CNNs architecture depthwith an accuracy of 83.33% with CIFAR-10 dataset and 60.00%with CIFAR-100 dataset while it reduces the computation time bymore 70% compared to the Grid Search.
Efficient Deep Network Architecture for Vision-Based Vehicle Detection Keyvan Kasiri,
Authors: Kasiri Keyvan , Shafiee Mohammad Javad , Li Francis , Wong Alexander , Eichel Justin
Published: October 2018

With the progress in intelligent transportation systems in smartcities, vision-based vehicle detection is becoming an important issuein the vision-based surveillance systems. With the advent ofthe big data era, deep learning methods have been increasinglyemployed in the detection, classification, and recognition applicationsdue to their performance accuracy, however, there are stillmajor concerns regarding deployment of such methods in embeddedapplications. This paper offers an efficient process leveragingthe idea of evolutionary deep intelligence on a state-of-the-art deepneural network. Using this approach, the deep neural network isevolved towards a highly sparse set of synaptic weights and clusters.Experimental results for the task of vehicle detection demonstratethat the evolved deep neural network can achieve a substantialimprovement in architecture efficiency adapting for GPUacceleratedapplications without significant sacrifices in detectionaccuracy. The architectural efficiency of ~4X-fold and ~2X-folddecrease is obtained in synaptic weights and clusters, respectively,while the accuracy of 92.8% (drop of less than 4% compared to theoriginal network model) is achieved. Detection results and networkefficiency for the vehicular application are promising, and opensthe door to a wider range of applications in deep learning.
KONDISI KUALITAS UDARA (SO2, NO2, PM10 DAN PM2,5) DI DALAM RUMAH DI SEKITAR CILEGON DAN GANGGUAN PERNAPASAN YANG DIAKIBATKANNYA
Authors: Rahim Ferina , Camin Yeremiah R
Published: October 2018

AbstrakKualitas udara sangat dipengaruhi aktivitas yang dilakukan oleh manusia. Penelitian ini bertujuan untuk mengetahui kualitas udara PM10, PM2,5, SO2 dan NO2 di dalam rumah di wilayah Cilegon serta aktivitas penghuni rumah dan gangguan pernapasan yang dialami penghuni rumah. Metode analisis data yang digunakan adalah uji statistik regresi linear untuk mengetahui hubungan antara kualitas udara PM10, PM2,5, SO2 dan NO2 dengan aktivitas penghuni rumah dan gangguan pernapasan. Penelitian ini ditemukan 9 rumah memiliki konsentrasi PM10 dan PM2,5 melebihi baku mutu yang ditentukan. Sebagian besar penghuni melakukan aktivitas merokok di dalam rumah dan kegiatan membakar sampah di pekarangan rumah, sehingga sebagian besar penghuni rumah mengalami gangguan pernapasan. Pada analisis regresi diketahui bahwa aktivitas penghuni rumah mempengaruhi konsentrasi PM10 sebanyak 24%, konsentrasi PM2,5 sebanyak 12%, konsentrasi SO2 sebanyak 2% dan konsentrasi NO2 sebanyak 4% serta konsentrasi zat polutan tersebut mempengaruhi gangguan pernapasan penghuni rumah sebanyak 25%. Aktivitas merokok di dalam rumah berhubungan dengan konsentrasi PM10 di udara dan gangguan pernapasan yang dialami oleh penghuni rumah berhubungan dengan konsentrasi SO2 di dalam rumah. Penelitian ini  memberi penyadaran bahwa kualitas udara di dalam rumah penting diperhatikan untuk menjaga kesehatan penghuni rumah serta untuk memberi masukan bagi penghuni rumah agar mengurangi aktivitas yang dapat mengganggu kualitas udara di ruangan tertutup.Abstract The air quality is influnced by human activities. The aim of this research is to assess air quality of PM10, PM2,5, SO2, and NO2 in houses around Cilegon and occupant activities as well as respiratory disorders risk resulting from it. This research uses statistic test linear regression for data analysis to find the relationship between the air quality and the activity of house occupants and respiratory disorders. It was found that 9 houses having PM10 and PM2,5 concentration exceeds the quality standard. Moreover, most of the occupants smoke in their house and burn their waste and also have respiratory disorders. From the regression analysis, it was found that occupant activities inside their house impacted to 24% of PM10, 12% of PM2,5, 4% of SO2 and 4% of NO2 concentration, and those pollutant concentrations impacted to 25% of residents respiratory disorders. The smoking activity related to PM10 concentration while respiratory disorders related to SO2 concentration in the house. Those results can give a basis thought for further research which identify the influence of the air quality inside a house to other health disorders. This research also provides awareness that the quality of air in the house is important to take care of the health of the occupants and to reduce activities that can interfere with the air quality in the house or enclosed room.
PATOGENISITAS Beauveria bassiana STRAIN STGD 7(14)2 DAN STGD 5(14)2 TERHADAP WERENG COKLAT (Nilaparvata lugens STÅL)
Authors: Suryadi Yadi , Wartono Wartono , Susilowati Dwi Ningsih , Lestari Puji , Nirmalasari Cyntia , Suryani Suryani
Published: October 2018

AbstrakBeauveria spp. merupakan salah satu jamur entomopatogen yang dapat digunakan sebagai agen biokontrol terhadap berbagai serangga hama. Tujuan penelitian ini adalah untuk menguji patogenitas Beauveria spp. terhadap serangga wereng coklat (Nilaparvata lugens Stål). Isolat-isolat Beauveria spp. diisolasi dari serangga walang sangit dari Situ Gede, Bogor, Jawa Barat. Identifikasi jamur dilakukan berdasarkan analisis data sekuen dari daerah Internal Transcribed Spacer (ITS) rDNA. Hasil uji menunjukkan bahwa patogenisitas isolat Stgd 5(14)2 dan Stgd 7(14)2 menghasilkan tingkat mortalitas 100% terhadap N. lugens. Isolat Stgd 5(14)2 dan Stgd 7(14)2 memiliki nilai LT50 yang rendah, danmenyebabkan kematian yang cepat terhadap wereng coklat. Hasil analisis filogenetik menunjukkan bahwa sekuen Stgd 5(14)2 dan Stgd 7(14)2 termasuk ke dalam spesies Beauveria bassiana s.str. Hasil studi ini merupakan kajian awal terhadap patogenisitas jamur entomopatogen B. bassiana terhadap wereng coklat, dan distribusinya di pertanaman padi Situ Gede, Jawa Barat.Abstract Beauveria spp. is one of the entomopathogenic fungi that can be used as biocontrol agents against various insect pests, including brown planthopper (Nilaparvata lugens Stal). This study aimed to test the pathogenicity of Beauveria spp. against N. lugens. Beauveria spp. were isolated from the rice stink bug insects, collected from Situ Gede, Bogor, West Java. Fungal identification was carried out based on the internal transcribed spacer (ITS) rDNA analysis. The pathogenicity assay revealed that Stgd 5(14)1 and Stgd 7(14)2 isolates were virulent against N. lugens, with a mortality of 100%. The LT50 (median lethal time) determination, indicated that Stgd 5(14)2  and Stgd 7(14)2 isolates had low value indicating a faster mortality in brown planthopper insects. Phylogenetic analysis showed that the sequences of Stgd 5(14)2 and Stgd 7(14)2 belong to Beauveria bassiana s.str. This is the preliminary pathogenicity trial of entomopathogenic fungi B. bassiana against brown planthopper and their distribution in rice-growing, Situ Gede area in West Java.
Gestational Age, Health, and Educational Outcomes in Adolescents
Authors: Berry Mary J. , Foster Tim , Rowe Kate , Robertson Oliver , Robson Bridget , Pierse Nevil
Published: October 2018

BACKGROUND AND OBJECTIVES:

As outcomes for extremely premature infants improve, up-to-date, large-scale studies are needed to provide accurate, contemporary information for clinicians, families, and policy makers. We used nationwide New Zealand data to explore the impact of gestational age on health and educational outcomes through to adolescence.

METHODS:

We performed a retrospective cohort study of all births in New Zealand appearing in 2 independent national data sets at 23 weeks' gestation or more. We report on 2 separate cohorts: cohort 1, born January 1, 2005 to December 31, 2015 (613 521 individuals), used to study survival and midterm health and educational outcomes; and cohort 2, born January 1, 1998 to December 31, 2000, and surviving to age 15 years (146 169 individuals), used to study high school educational outcomes. Outcomes described by gestational age include survival, hospitalization rates, national well-being assessment outcomes at age 4 years, rates of special education support needs in primary school, and national high school examination results.

RESULTS:

Ten-year survival increased with gestational age from 66% at 23 to 24 weeks to >99% at term. All outcomes measured were strongly related to gestational age. However, most extremely preterm children did not require special educational support and were able to sit for their national high school examinations.

CONCLUSIONS:

Within a publicly funded health system, high-quality survival is achievable for most infants born at periviable gestations. Outcomes show improvement with gestational ages to term. Outcomes at early-term gestation are poorer than for children born at full term.
Catatonia Associated With a SCN2A-Related Disorder in a 4-Year-Old Child
Authors: Leroy Arnaud , Corfiotti Claire , Nguyen The Tich Sylvie , Ferrafiat Vladimir , Amad Ali , Jardri Renaud , Medjkane François
Published: October 2018

Catatonia is a rare, underdiagnosed syndrome in children. We report the case of a 4-year-old child admitted for recent social withdrawal alternating with psychomotor excitement, verbigeration, and a loss of toilet readiness. He had a history of neonatal seizures, had been stabilized with vigabatrin, and was seizure free without treatment for several months. The pediatric and psychiatric examination revealed motor stereotypes, mannerism, bilateral mydriasis, and visual hallucinations. Laboratory and brain imaging explorations were initially negative. Catatonic symptoms, as measured with the Pediatric Catatonia Rating Scale, significantly decreased after introducing lorazepam, the first-line recommended treatment of this condition. On the basis of the neonatal seizure history, complementary genetic investigations were performed and revealed a mutation in the SCN2A gene, which encodes the voltage-gated sodium channel Nav1.2. Catatonic symptoms progressively disappeared after reintroducing vigabatrin. At the syndromic level, catatonia in young children appears responsive to high-dose lorazepam and is well monitored by using the Pediatric Catatonia Rating Scale. This case reveals the need for wide-ranging explorations in early-onset catatonia because specific targeted treatments might be available.