Miracle-dz/UniFAR-FTUs huggingface dataset:
RECENT ADVANCES IN THE KNOWLEDGE OF THE RÍO DE LA PLATA ESTUARYCIRCULATION, FORCINGS AND VARIABILITY

C. G. Simionato, V. L. Meccia, W. C. Dragani, R. A. Guerrero and M. Nuñez Centro de Investigaciones del Mar y la Atmósfera (CIMA/CONICET-UBA), Argentina Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Argentina Servicio de Hidrografía Naval de la Armada Argentina y Escuela del Ciencias del Mar (ESCM-INUN) Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP) and Universidad Nacional de Mar del Plata, Argentina
An integrated delivery and assessment process to address the graduate attribute spectrum

In the past, engineering programmes were developed with separate technical learning outcomes supplemented by generic attributes. The latter were in most cases a standalone set of attributes developed by academic institutions or professional societies overseeing engineering accreditation processes. Although the technical learning outcomes were well assessed and tracked, the generic attributes were at best partially addressed by artificially incorporating them into the curriculum as a way of "ticking-the-boxes". The current trend is to define competencies that map attributes required accross the industry and develop programmes that have imbedded tools to deliver and assess these attributes. The Australian Maritime College is progressively developing new technologies to deliver and assess these attributes through holistic tasks, thus, ensuring a broader coverage of the attribute spectrum within an environment of limited resources and time. This provides students with realistic and challenging tasks, a far cry from the traditional mundance engineering laboratories, thus, promoting interactive and practical problem-based learning, making the study of engineering enjoyable! Concurrently with this development is a practical and simple method of tracking and quantifying the achievement of the attributes by the students, yielding useful data to improve processes within the programme, and, hence, the quality of the graduates.
Influence of maternal autonomy and socioeconomic factors on birth weight of infants in India

Introduction: Child’s birth weight (BW) is an important aspect not only during childhood but also affects morbidity and mortality in adulthood. The focus of this study is to examine the role of different socioeconomic factors, along with women’s decision-making autonomy on the determination of infant BW. Methods: The dataset was obtained from the National Family Health Survey, India (2005-06). The respondents were women of reproductive age (15-49 years) having at least one living child at least five years old preceding the survey. This study considered only the last single live birth child having a recorded BW at the time of delivery. Results: The results showed that 19% of the infants were born with low birth weight (LBW) with regional variations ranging from 13% to 27%. The mean BW of infants of mothers from high autonomy category was 2.90±0.645 kg, while that of mothers with low autonomy was 2.75±0.702 kg. The proportion of LBW infants was significantly higher among mothers with low education, short stature, low BMI and poor wealth index category. Percentage of LBW infants were lower among mothers with autonomy including taking care of their own health (18% versus 21% who were not), making large purchases (17% vs 22%), visiting relatives (18% vs 22%), and allowed to go to the market (18% vs 22%). Conclusion: The findings indicated that the mother’s freedom of movement and financial independence were significantly associated with infant’s BW in India. Attention should be given to improving the socio-economic conditions and empowerment of Indian women.
Advances in Elliptic Curve Cryptography: On the Provable Security of ECDSA

Introduction Background . The Elliptic Curve Digital Signature Algorithm is now in many standards or recommendations, such as [ ANSI X9.62 ], [ SECG ], [ FIPS 186.2 ], [ IEEE 1363 ], [ ISO 15946-2 ], [ NESSIE ] and [ RFC 3278 ]. Organizations chose ECDSA because they regarded its reputational security sufficient, on the grounds that (a) it is a very natural elliptic curve analogue of DSA, and that (b) both elliptic curve cryptography and DSA were deemed to have sufficiently high reputational security. The standardization of ECDSA has created more intense public scrutiny. Despite this, no substantial weaknesses in ECDSA have been found, and thus its reputational security has increased. At one point, proofs of security, under certain assumptions, were found for digital signature schemes similar to DSA and ECDSA. The proof techniques in these initial proofs did not, and still do not, appear applicable to DSA and ECDSA. Thus, for a time, provable security experts suggested a change to the standardization of reputationally secure schemes, because slight modifications could improve provable security. Further investigation, however, led to new provable security results for ECDSA. New proof techniques and assumptions were found that overcame or avoided the difficulty in applying the initial techniques to ECDSA. This chapter describes some of these results, sketches their proofs, and discusses the impact and interpretation of these results.
Melt Crystallization

Melt crystallization, sometimes referred to as ‘fractional crystallization,’ is a collective term for physical separation processes aimed at puriRcation of organic compounds from a multi-component mixture by crystallization without addition of a solvent. The driving force for crystallization is created by cooling, evaporating or pressuring the melt. The main advantage of this separation technique is the superior selectivity of the crystallization process caused by restricted mobility in the crystal lattice and strong molecular bonds. The energy consumption can be low because the heat of fusion of most organic compounds is two to four times smaller than their heat of evaporation and the operating conditions are generally mild. Finally, the absence of hazardous solvents is important from an environmental point of view. Disadvantages are the inherent slowness of crystal growth leading to voluminous equipment and the need for intensive slurry handling in certain process designs. Balancing the merits and drawbacks, melt crystallization is usually applied for ultrapuriRcation ('99.99%), separation of isomers and puriRcation of thermally unstable components. Some examples of industrial applications are acrylic acid, bisphenol A, caprolactam, cresol, dichlorobenzene, fatty acids, naphthalene, parafRn and xylene. In this chapter, the designs of conventional and emerging melt crystallization processes are described and evaluated. Also the related Reld of freeze-concentration of aqueous solutions is brieSy touched upon. Extensive coverage of all types of equipment on different scales is beyond the scope of this article. There is a focus on large-scale applications with a bias on state-of-the-art equipment provided by equipment manufacturers rather than the proprietary processes of end-users. More elaborate overviews of the principles and applications of melt crystallization are given in the Further Reading.
Pronominal adverbs in German and their equivalents in enGlish , CzeCh and russian : evidenCe from the Parallel CorPus

The paper presents a contrastive analysis of pronominal adverbs in German (dabei, darauf, damit etc.) and their equivalents in English, Czech and Russian. The analysis is based on an empirical study of parallel news texts. Our main focus is to show the interplay between cohesive devices expressed through German pronominal adverbs in text and explore their equivalents in English, Czech and Russian. As the dataset at hand contains translations, we also focus on the influence of the translation factor in parallel texts.
COMPLEX DYNAMICS IN ECOLOGICAL TIME SERIES 1

Although the possibility of complex dynamical behaviors-limit cycles, quasiperiodic oscillations, and aperiodic chaos-has been recognized theoretically, most ecologists are skeptical of their importance in nature. In this paper we develop a methodology for reconstructing endogenous (or deterministic) dynamics from ecological time series. Our method consists of fitting a response surface to the yearly population change as a function of lagged population densities. Using the version of the model that includes two lags, we fitted time-series data for 14 insect and 22 vertebrate populations. The 14 insect populations were classified as: unregulated (1 case), exponentially stable (three cases), damped oscillations (six cases), limit cycles (one case), quasiperiodic oscillations (two cases), and chaos (one case). The vertebrate examples exhibited a similar spectrum of dynamics, although there were no cases of chaos. We tested the results of the response-surface methodology by calculating autocorrelation functions for each time series. Autocorrelation patterns were in agreement with our findings of periodic behaviors (damped oscillations, limit cycles, and quasiperiodicity). On the basis of these results, we conclude that the complete spectrum of dynamical behaviors, ranging from exponential stability to chaos, is likely to be found among natural populations.
Taylor-SPH meshless method

— In this work, we present the Taylor-SPH meshfree method for dynamic problem. The PDEs are written in terms of stress and velocity. A corrected Lagrangian kernel is employed for spatial discretization and two different sets of particles are used for time discretization. This method is used to solve the propagation of shock waves in elastic-viscoplastic media. The Taylor-SPH method is shown to be efficient and it provides solutions of good accuracy.
Flight Planning for Unmanned Aerial Vehicles

We formulate the mission planning problem for a ﬂeet of unmanned aerial vehicles (UAVs) as a mixed-integer nonlinear programming problem (MINLP). The problem asks for a selection of targets from a list to the UAVs, and trajectories that visit the chosen targets. To be feasible, a trajectory must pass each target at a desired distance and within a certain time window, obstacles or regions of high risk must be avoided, and the fuel limitations must be obeyed. An optimal trajectory maximizes the sum of values of all targets that can be visited, and as a secondary goal, conducts the mission in the shortest possible time. In order to obtain numerical solutions to this model, we approximate the MINLP by an mixed-integer linear program (MILP), and apply state-of-the-art solvers (Cplex, Gurobi) to the latter on a set of test instances.
INSTRUMENTED SMALL SCALE ROD PENETRATION STUDIES: THE EFFECT OF PITCH

Many long rod penetrator systems are based around tungsten alloy rods. In this study tungsten alloy rods were impacted by RHA plates in the, so-called, reverse ballistic impact geometry. This approach allows information to be gathered from instrumented rods which can be used to validate models used in ballistics codes [1–5]. One advantage of such studies is that many instrumental techniques can be applied to the system that may be difficult or even impossible to use at full scale. Previous work from the Cavendish, using a 50 mm bore single stage light gas gun [6], has concentrated on rod / plate interaction at fixed angles of 45° or 60°[7]. This paper extends this research and describes the use of various high-speed diagnostic techniques [8,9] for rod / plate impacts with particular emphasis on the effects of pitch. The experimental arrangement and the definitions of positive and negative pitch are shown in figure 1.
FOR AUTONOMOUS CAR-LIKE VEHICLES

A fleet of small individual electric vehicles, which can run automatically without direct human intervention, could be a solution for the downtown transportation. For this kind of vehicles it will be necessary an effective trajectory planning method, to ensure the mobility with safety and comfort. In this paper three trajectory planning methods are analysed from the point of view of passengers' comfort, implementation facility, and trajectory tracking. Copyright@sintes12
Weakness not Liberalisation : The Effect of IMF Programs upon Civil War ∗

Previous research has suggested that IMF programs cause political violence, as a result of conditions requiring economic liberalisation. In this paper I argue that previous research does not adequately model this causal mechanism, and provide an alternative information based theory of the effect of IMF programs upon civil wars. IMF programs can lead to civil war, if implementing an IMF program signals weakness of the government to potential rebel groups. When governments sign IMF programs in not particularly severe economic conditions, rebels learn the government is weak due its need for external assistance. In this way the signing of an IMF program, rather than economic liberalisation, in and of itself can increase the likelihood of civil war. The empirical analysis casts doubt on the economic liberalisation mechanism and lends support to the theory developed in this paper. The existence of an IMF program increases the probability of civil war onset even after accounting for the number of conditions, a proxy for the extent of liberalisation required. Furthermore this effect is conditional upon whether a country is undergoing a financial crisis when implementing the program, a signal of the governments competence. As a result this paper emphasises the need to move beyond considering IMF programs as homogenous. ∗Thanks to Randall Stone for sharing data on the number of conditions associated with IMF programs. †Postdoctoral Researcher at Centre for Comparative and International Studies (CIS) and Institute for Environmental Decisions (IED), ETH Zürich. Contact e-mail: liam.mcgrath@ir.gess. ethz.ch
2014 International Conference on Lightning Protection ( ICLP ) , Shanghai , China Frequency Analysis of Thunder Features

Acoustic signatures of thunder can be used in understanding some properties of lightning channels. Basic features of thunder signal are qualitatively classified as Peals, Claps and Rumble. In studies [1] and [4], attempts have been made to recognize these features quantitatively. To strengthen previous findings, above features were analyzed using Stransformation in this study. Characteristics of Peals, Claps and Rumble are directly affected by the acoustic energy, channel tortuosity, the interference of distinct parts of the channel, channel orientation relative to the observer and attenuation of high frequencies during the propagation. The fundamental frequency of audible thunder appears less than 250 Hz. Stransformation was introduced to estimate the fundamental frequencies and mean frequencies of thunder features with a level of significance. The elapsed time of peals and claps depends with the intensity level and the frequency composition of the fluctuation. The mean fundamental frequency of rumbles is 63 Hz. Keywords-spectrogram; peal; clap; rumble; S transformation
Urban Remote Sensing Image Enhancement Using a Generalized IHS Fusion Technique

To improve observation quality, many approaches have been developed to combine the information coming from multiple images to create fused ones where the content is more suitable for human perception. IHS is one of the widespread image fusion methods in the remote sensing community. This method causes color distortion, therefore many papers have investigated modifications that can be made to attenuate the problem. Nevertheless, for some applications, the color distortion is not a great problem. Besides, the standard IHS methods accept just three bands. This paper proposes a new methodology for dimensionality reduction using multiple input images with a Generalized IHS transformation. The main objective is to produce urban images where the objects are clearly identified. The fusion method integrates, in three components (IHS), the most important information provided by multiple inputs. Experimental results are presented and discussed when applying the Generalized method to synthetic, IKONOS and QuickBird images.
IT ADOPTION MODEL FOR HIGHER EDUCATION

Information Technology (IT) is a critical asset for higher education institutions and support institutional strategic objectives. One of the most common problems of using ICT in education is to base choices on technological possibilities rather than educational needs. In developing countries where higher education is fraught with serious challenges at multiple levels, there is increasing pressure to ensure that technological possibilities are viewed in the context of educational needs. In the IT adoption is necessary to consider several important aspects related to these technologies, such as the direction of technological development in accordance with the strategic plan. The problems arise when the Higher Education will adopt a new technology but does not consider the current technology trends. Hype Cycles provide technology trend with a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. In this paper will propose IT adoption model for higher education base on the factor that influences IT adoption in higher education which is obtained from another research with adding a technology trend as a factor that influence. By using factor analysis with SPSS, produces five group of factors that infuluence for IT adoption in Higher Education. IT Adoption Model For Higher Education can be used by universities as a reference to adopting a new technology that is in line with the strategy that has been set with with attention to each of the factors that influence.
A File System for Resource Abstraction in Ubicomp

This poster proposes a file system as an abstraction layer for a uniform way of accessing any system resource on wireless sensor nodes. Even functions and libraries can be represented and accessed in this uniform way allowing developers a novel way to design and implement applications. A lightweight implementation on our Particle Computer platform is described and performance measurements prove small overhead for resource access.
Growth and Yield Responses of Corn (Zea mays L.) as Affected
by Growth Period and Irrigation Intensity

Received: October 16, 2017 Revised: November 15, 2017 Accepted: December 14, 2017 The frequency and intensity of soil moisture stress associated with climate change has increasing, and the stability of field crop cultivation has decreasing. This experiment was conducted to investigate the effect of soil moisture management method on growth and yield of corn. Soil moisture was managed at the grade of WSM (wet soil moisture, 34.0~42.9%), OSM (optimum soil moisture, 27.8~34.0%), DSM (dry soil moisture, 20.3~27.8%), and ESM (extreme dry moisture, 16.6~20.3%) during V8 (8th leaf stage)-VT (tasseling stage). After VT, irrigation was limited. The treated amount of irrigation was 54.1, 47.7, 44.0 and 34.5% of total water requirement, respectively. The potential evapotranspiration during the growing period was 3.29 mm day-1, and upward movement of soil water was estimated by the AFKAE 0.5 model in the order of ESM, DSM, OSM, and WSM. We could confirm this phenomenon from actual observations. There was no significant difference in leaf characteristics, dry matter, and primary productivity depending on the level of soil moisture, but leaf development was delayed and dry weight decreased in DSM. However, dry weight and individual productivity of DSM increased after irrigation withdrawal compared to that of OSM. In DSM, ear yield and number of kernels per ear decreased, but water use efficiency and harvest index were higher than other treatments. Therefore, it is considered that the soil moisture is concentratedly managed before the V8 period, the V8-VT period is controlled within the range of 100 to 500 kPa (20.3~27.8%), and no additional irrigation is required after the VT.
Automatic Bias Correction Methods in Semi-supervised Learning

We consider the bias-correction problem in semi-supervised classification. Under certain situations where the labeled data are collected by biased sampling rather than random sampling, large margin algorithms are no longer consistent due to an inherent bias. Fortunately, with the unlabeled data we show that some bias-correction techniques can automatically correct the bias for large margin classifiers.
High Speed 3D Reconstruction Method from Dense Grid Pattern Using de Bruijn Sequence and Line Detection Technique Based on Belief-Propagation

Dense 3D reconstruction of extremely fast moving objects could contribute to various applications such as body structure analysis and accident avoidance and so on. In this paper, we propose such a technique based on a one-shot scanning method that reconstructs 3D shape from a single image. To realize dense 3D reconstruction from a single image, there are several issues to be solved; e.g. the reconstruct result is sparse because it can not use a dense pattern. This paper describes the solutions of the issues by combining two methods, that is (1) extension of shape from intersections of lines method, and (2) efficient line detection technique based on de Bruijn sequence and belief-propagation. In the experiments, the proposed method successfully captured the sequence of dense shapes at high frame rate.
Assessments: an open and closed case

Open book assessment is not a new idea, but it does not seem to have gained ground in higher education. In particular, not much literature is available on open book examinations in mathematics and statistics in higher education. The objective of this paper is to investigate the appropriateness of open book assessments in a first-year business statistics course. Data over two semesters of open book assessments provided some interesting results when compared with the closed book assessment regime in the following semester. The relevance of the results is discussed and compared with findings from the literature. The implications of insights gained for further practice in the assessment of mathematics and statistics is also discussed.
D5.5– BOAST: a Metaprogramming Framework to Produce Portable and Eﬃcient Computing Kernels for HPC Applications

This document describes BOAST, a metaprogramming framework to produce portable and ef-ﬁcient computing kernels for HPC application. BOAST oﬀers an embedded domain speciﬁc language to describe the kernels and their possible optimization. BOAST also supplies a complete run-time to compile, run, benchmark, and check the validity of the generated kernels. BOAST is being used in two ﬂagship HPC applications BigDFT and SPECFEM3D, to improve performance portability of those codes.
Beyond LoRa and NB-IoT: Proposals for Future LPWA Systems

This paper proposes areas of improvement for Low Power Wide Area (LPWA) solutions. After recalling the rationale of these systems, it summarizes the main challenges of existing solutions and proposes various improvements at PHY and MAC layer that were investigated in context of the EPHYL project. NB-IoT and LoRa were mostly considered in the analysis of existing techniques, while proposals for improvement address both waveform design and resource allocation strategy. We propose as well introduction of new paradigm such as network coding to benefit of the sparse characteristic of some LPWA use cases. Some of the proposals are validated experimentally in the FIT/CorteXlab environment, offering to the research community a framework to experiment and compare their improvements of LPWA systems.