Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Weight Adjustment of Profiling Floats

In order to park a profiling float at an appointed depth, relevant method of ballasting is examined from the view of hydrography and statics. It is shown that the weight change of float by 1 gram makes around 10 m parking depth difference, although it keeps that depth stably in the case of tropical and subtropical Pacific Ocean. It is pointed out that the buoyancy (i.e. bladder volume) of present APEX type float is not adequate in a certain area of western equatorial Pacific and eastern tropical Indian Ocean. Also, a method of ballasting using high pressure tank is described in detail, and calculation of ballasting weight is explained by giving an example.
Analysis of archival EXOSAT data on the X-ray burst source Serpens X-1

We present analysis of data obtained from the Medium Energy proportional counter array (ME) from the EXOSAT observations of the X-ray burst source Ser X-1 made in 1983 and 1985. From the combined analysis of the spectral and fast variability properties, we show that the source is an atoll source in the banana state during the observations. The persistent spectra of the 1985 data, for which reliable background data are available, are described well by the two-component model composed of a power-law with an exponential cutoff and a blackbody. The spectral study of two bursts, which were observed during the 1985 observation, shows no clear evidence for a departure from blackbody. One of the bursts shows a weak secondary maximum, which is more prominent in the low energy band than in the high energy band, and the burst shows possible evidence of an absorption line feature at about 4.1 keV.
Analysis of Traffic Effects on a Dutch Highway Bridge

In this paper, we propose a method for reliably extracting modal parameters from concrete bridges, which depends on the proper identification of vehicles passing the bridge. We collect data from a sensor network installed on a large highway bridge in the Netherlands, called the Hollandse Brug. There are three sensor types involved in the network, sensing strain, vibration and temperature. Large traffic events, such as trucks crossing the bridge, can be recognized clearly in the strain signal, so we use it to identify the exact moments of vehicles passing. At the same time, the measured strain is also influenced by other factors, such as traffic jams and temperature changes. We remove these factors, which interfere with the proper identification of traffic events, with an improved threshold-based classification method, and obtain a number of peaks with the zero-crossing and local maximum method. We then divide these peaks into different categories with a supervised classification method. The signals produced by the vibration sensors when excited by passing trucks is a good source for analysing structural parameters of the bridge, so we extract the free vibration periods of the vibration signals associated with truck events in the strain signals, and subsequently conduct modal analysis.
Status of Teachers' Technology Uptake and Use of GeoGebra in Teaching Secondary School Mathematics in Kenya.

The uptake of technology and specifically, GeoGebra software, in teaching mathematics has had mixed success in spite of its documented benefits. This study investigated teachers’ perspective towards training and eventual use of GeoGebra as a tool to enhance learning of mathematics. In this article we share findings from a larger study that was conducted in Kajiado County in Kenya (Africa) on GeoGebra use in teaching Secondary School Mathematics. This article presents the relationship between observed teachers’ perceptions towards the uptake of GeoGebra, a technology based tool and the actual uptake of GeoGebra using the Diffusion Innovation theoretical framework. Data was collected from practicing mathematics teachers who were exposed to GeoGebra through a series of training sessions. The findings after training sessions with the mathematics teachers showed willingness to use GeoGebra in their classes. The teachers identified Geometry as the topic where use of GeoGebra would be most relevant due to its abstract nature. Teachers’ responses indicated that GeoGebra was perceived as useful for teaching and learning Mathematics and that it would help learners grasp concepts in Geometry. However, the study also found out that systemic support would sustain teachers’ engagement with GeoGebra at classroom level as actualization of Geogebra use did differ significantly from teachers’ perceptions.
Factors Involved in the Dissemination of Disease in Fish Populations

Abstract Infectious diseases have been observed in both human and animal populations for millenia. Unlike diseases of “higher” animals, the dispersal of disease in fish populations rarely has been studied quantitatively. However, the principles that govern the spread of diseases of humans and other mammals should, with modification, be applicable to the study of infectious diseases in fishes. Disease in populations is a dynamic phenomenon; fluctuations in prevalence and impact are dependent on the interactions among host, pathogen, and environment. Models of the dynamics of infectious diseases in salmon and other fishes can be constructed and refined to reflect the characteristics of diseases by integrating the most important factors in the process. Among the factors that have been shown to be important in other systems are the “contagiousness” of the pathogen (transmission coefficient, β), duration of infection, host population density, development of immunity, and efficacy of therapeutants.
Does Corporate Governance Transparency Affect the Accuracy of Analyst Forecasts?

Using country-level proxies for corporate governance transparency, this paper investigates how differences in transparency across 21 countries affect the average forecast accuracy of analysts for the country's firms. The association between financial transparency and analyst forecast accuracy has been well documented in previous published literature; however, the association between governance transparency and analyst forecast accuracy remains unexplored. Using the two distinct country-level factors isolated by Bushman "et al." (2004), governance transparency and financial transparency, we investigate whether corporate governance information impacts on the accuracy of earnings forecasts over and above financial information. We document that governance transparency is positively associated with analyst forecast accuracy after controlling for financial transparency and other variables. Furthermore, our results suggest that governance-related disclosure plays a bigger role in improving the information environment when financial disclosures are less transparent. Our empirical evidence also suggests that the significance of governance transparency on analyst forecast accuracy is higher when legal enforcement is weak. Copyright (c) The Authors Journal compilation (c) 2006 AFAANZ.
TRIANGULAR-LIKE CUPROUS IODIDE NANOSTRUCTURES: GREEN AND RAPID SYNTHESIS USING SUGAR BEET JUICE

Cuprous iodide (CuI), that has been recently used as an inorganic hole-conductor material in perovskite solar cells, was successfully synthesized with a green, rapid, low cost and room temperature method. Sugar beet juice was used as a reductant and capping agent, because of the presence of anthocyanin molecules in its ingredients. By using different amounts of juice, various morphologies of CuI have been obtained. It was found that triangular-like cuprous iodide nanostructures have been successfully produced using 10 mL of this juice.
Do prey-animals in zoos need predators?

Today is one of the goals with zoos to conserve endangered species and some animals may also become reintroduced. But behaviours can change in generations of captive animals because of environments that differ from the wild. Animals must then be prepared before being reintroduced and predator training enhances the animal’s chance to survive in the wild. When training animals to avoid predators it is often necessary to use frightening stimuli. However, it has been shown that experienced demonstrators improve unexperienced juveniles’ learning about predators. These juveniles also seem to be more successful in reintroductions. In zoos enrichments are used to provide animals with natural environments and possibilities to perform natural behaviours. But in order to keep natural behaviours that could be advantageous in future reintroductions, specific anti-predator behaviour programs should be developed. But programs for retaining such natural behaviours can be in conflict with ethical principles and animal welfare. This makes it more important to carefully plan and evaluate anti-predator behavioural programs. Using visual models could be one approach when designing enrichments, this because prey-animals seem to have an innate system for recognizing predators visually.
Accounting for the XRT early steep decay in models of the prompt gamma-ray burst emission

Context. The Swift-XRT observations of the early X-ray afterglow of GRBs show that it usually begins with a steep decay phase. Aims. A possible origin of this early steep decay is the high latitude emission that subsists when the on-axis emission of the last dissipating regions in the relativistic outflow has been switched-off. We wish to establish which of various models of the prompt emission are compatible with this interpretation. Methods. We successively consider internal shocks, photospheric emission, and magnetic reconnection and obtain the typical decay timescale at the end of the prompt phase in each case. Results. Only internal shocks naturally predict a decay timescale comparable to the burst duration, as required to explain XRT observations in terms of high latitude emission. The decay timescale of the high latitude emission is much too short in photospheric models and the observed decay must then correspond to an effective and generic behavior of the central engine. Reconnection models require some ad hoc assumptions to agree with the data, which will have to be validated when a better description of the reconnection process becomes available.
Simulation of shear and turbulence impact on wind turbine performance

Aerodynamic simulations (HAWC2Aero) were used to investigate the influence of the speed shear, the direction shear and the turbulence intensity on the power output of a multi-megawatt turbine. First simulation cases with laminar flow and power law wind speed profiles were compared to the case of a uniform inflow. Secondly, a similar analysis was done for cases with direction shear. In each case, we derived a standard power curve (function of the wind speed at hub height) and power curves obtained with various definitions of equivalent wind speed in order to reduce the scatter due to shear. Thirdly, the variations of the power output and the power curve were analysed for various turbulence intensities. Furthermore, the equivalent speed method was successfully tested on a power curve resulting from simulations cases combining shear and turbulence. Finally, we roughly simulated the wind speed measurements we may get from a LIDAR mounted on the nacelle of the turbine (measuring upwind) and we investigated different ways of deriving an equivalent wind speed from such measurements.
A NEW MULTI-CRITERIA EVALUATION MODEL BASED ON THE COMBINATION OF NON-ADDITIVE FUZZY AHP, CHOQUET INTEGRAL AND SUGENO λ-MEASURE

Abstract. This paper proposes a new model for multi-criteria evaluation under uncertain condition. In this model we consider the interaction between criteria as one of the most challenging issues especially in the presence of uncertainty. In this case usual pairwise comparisons and weighted sum cannot be used to calculate the importance of criteria and to aggregate them. Our model is based on the combination of non-additive fuzzy linguistic preference relation AHP (FLPRAHP), Choquet integral and Sugeno λ-measure. The proposed model capture fuzzy preferences of users and fuzzy values of criteria and uses Sugeno λ -measure to determine the importance of criteria and their interaction. Then, integrating Choquet integral and FLPRAHP, all the interaction between criteria are taken in to account with least number of comparison and the final score for each alternative is determined. So we would model a comprehensive set of interactions between criteria that can lead us to more reliable result. An illustrative example presents the effectiveness and capability of the proposed model to evaluate different alternatives in a multi-criteria decision problem.
A rarely isolated micro‐organism, Budvicia aquatica, cultured from urine of a patient with Guillain–Barré Syndrome

Introduction: As a pathogen, Budvicia aquatica is a rarely cultured micro‐organism. It was first isolated in the Czech Republic in 1983. It can chiefly be found in the waters of streams, rivers, wells and swimming pools, but it may cause infections in immunocompromised patients. Case presentation: On 4 October 2013, a 67‐year‐old male patient was admitted to the Intensive Care Unit from the Neurological Department due to a deterioration of his general state and the occurrence of acute respiratory failure in the course of Guillain–Barre Syndrome. A urine culture was routinely prepared when his urinary catheter was exchanged on 2 November 2013, and more than 105 c.f. u. B. aquatica ml–1 was cultured, although no symptoms of infection were diagnosed. The patient did not require antibiotic therapy. Conclusion: It is possible that the absence of symptoms of infection resulted from the immunomodulatory effect of IgG, which the patient had received to treat the underlying disease, and to the regular exchange of his urinary catheter.
The design of an intelligent real‐time autonomous vehicle, TAIWAN iTS‐1

Abstract Developed at National Chiao Tung University, TAIWAN iTS‐1 is the first smart car with active safety systems and comfortable autonomous driving in Taiwan. An adaptive vision‐based lane detection algorithm was proposed to help the lateral control unit to keep the car in its lane safely. It also carries a DSP system to generate warning signals for unintentional roadway departures. A laser radar measures the distance between the preceding car and TAIWAN iTS‐1. With this information, the longitudinal control unit performs intelligent cruise control and stop‐and‐go functions. The remote control function is realized on TAIWAN iTS‐1 for safety testing and military applications. Unlike most smart car studies, this paper considers not only driving safety demands but also non‐driving security. An active mobile surveillance system will inform the car owner when the car is illegally broken into, anytime and anywhere. For drivers and passengers, the perception of comfort is achieved by intelligent vehicle dynamic control. All functions integrated into TAIWAN iTS‐1 have been tested repeatedly on National Highway 3 and Expressway 68 in the Hsinchu area and the system's robustness has been successfully demonstrated in these real‐road experiments.
Simpatectomía transtorácica endoscópica, otra alternativa para el dolor neuropático

Una de las etiologias del sindrome doloroso regional complejo tipo II es el aumento en la actividad de la cadena simpatica. En este reporte se trata de un paciente de 29 anos de edad con sindrome doloroso regional complejo tipo II en la extremidad superior derecha y dolor neuropatico cronico severo calificado con EVA de 10. Antecedente de esfuerzo fisico que condiciono tendosinovitis y subluxacion no traumatica de la extremidad superior derecha, que se manejo con tratamiento conservador y quirurgico sin mejoria del cuadro algico. El dolor neuropatico severo solo respondio al manejo invasivo con bloqueo del ganglio estrellado con anestesicos locales, lo que nos dio la pauta para su tratamiento definitivo con la realizacion de la simpatectomia transtoracica endoscopica, obteniendose una excelente respuesta con disminucion del EVA a 2. Concluimos que la simpatectomia transtoracica endoscopica es un metodo efectivo y de minima invasion en el tratamiento del sindrome doloroso regional complejo tipo II simpatico-dependiente.
A Cumulative Binomial Chart for Univariate Process Control

In this paper, a control method based on binomial distribution is proposed in which, by analyzing the cumulated data for a uni-variate quality characteristic, the possible mean shift is detected. In this method, the domain of observations is rst divided into some speci ed intervals and then the number of observations in each interval is counted. Control statistics are next de ned using the counted values based on the approximation methods. Necessary adaptations are made to form an appropriate statistic for the process monitoring. Using a simulation technique, the performance of the proposed method is compared with the ones of the optimal EWMA, GEWMA, CUSUM and GLR control charts. The results show that with an equal in-control average run length, the cumulative Binomial control method performs better than control charts in detecting a mean shift of any size less than 3 . The analysis is also carried out for autocorrelated data, showing that the proposed method performs better than other methods for small to moderate values of autocorrelation coe cients.
Comparison of Cloud Types Observed from SEVIRI and POLDER2

RESUME A promising way of improving cloud property retrieval, is the combined use of new ensemble of data based on different measurement techniques. As a first step, a comparative study of cloudiness observed by SEVIRI on board Meteosat-8 and POLDER2 (POLarization and Directionality of the Earth's Reflectances) is performed. POLDER-2 cloud products are available only from April to October, 23 2003, the end of service of the ADEOS-2 platform. Several days in June 2003 are analyzed. The SEVIRI radiance data and the SAFNWC (Satellite Application Facility in support to NoW Casting) cloud products have been provided by the "Centre de Meteorologie Spatiale" in Lannion (France). The SEVIRI cloud type and cloud top pressure products are checked against cloud top pressure and thermodynamic phase retrieved from POLDER. A cloud classification based on a Dynamical Clustering Method (DCM) is applied to SEVIRI data for an other interpretation. Late 2004, PARASOL will be launch in the frame of the A-train. The study engaged between POLDER2 and SEVIRI will then go further.
ENVIRONMENTAL PROTECTION VERSUS INCENTIVES FOR FDI INFLOWS: ABATEMENT TECHNOLOGIES MATTER

This paper examines how environmental regulation affects the FDI strategies of parent firms in developing countries (the South) and developed countries (the North) when there are differences in the emission abatement technology between these countries. More lenient environmental regulations of developing countries are likely to attract more foreign capital inflows with higher risks for being pollution haven. As long as the emission abatement technology of the multinational corporations is superior to that of the South, lenient environment regulation to induce foreign capital inflows turns out to be the optimal policy. Also when social concerns about pollution are higher than the critical value, there is a tougher environmental regulation. Moreover, the welfare of developing country is maximized with the foreign capital inflows as joint-venture, suggesting higher incentive policies for joint-ventures with higher abatement technology. We also demonstrate that stricter environmental regulation is applied if the foreign firm invests as a monopoly firm instead of joint-venture. The larger market size of the developing economy also induces stricter regulation.
Statistical Modeling on Blindness and Visual Impairment Data

Blindness and visual impairment remain leading causes of disability in the world, and also considered one of the major eye problems in Nepal. This study was planned to identify the significant risk factors of visual impairment and blindness based on hospital data. The analysis is based on 2000 patients’ information with age ? 40 years retrospectively. Logistic regression model is used to identify the risk factors of visual impairment. Altogether 710(36%) subjects were having visually impaired (low vision) and very few 29(1.45%) were having blindness. The proportion of having visual impairment and blindness each is found higher in the females as compared to males( p = 0.026). The prevalence of having visual impairment in the age group of 40 - 49 years with 95% C.I. is 13.11 %( 10.76% - 15.75%) and it reaches to very high (89.00%; 84.89% - 92.30%) in the patients having age 70 years or more. The odds of having visual impairment is 8 times more(OR = 7.99, 95% C.I.: 3.99 - 15.98, p < 0.001) in 60 - 69 age group of people as compared with those of 40 - 49 age group based on visual acuity after correction. Risk of developing visual impairment is found to be increasing exponentially with increasing age. Journal of Institute of Science and Technology, 2014, 19(1): 1-6
Photoelectrocatalytic Degradation of Sodium Oxalate by TiO2/Ti Thin Film Electrode

The photocatalytically active TiO2 thin film was deposited on the titanium substrate plate by chemical vapor deposition (CVD) method, and the photoelectrocatalytic degradation of sodium oxalate was investigated by TiO2 thin film reactor prepared in this study with additional electric potential at 365 nm irradiation. The batch system was chosen in this experiment, and the controlled parameters were pH, different supporting electrolytes, applied additional potential, and different electrolyte solutions that were examined and discussed. The experimental results revealed that the additional applied potential in photocatalytic reaction could prohibit recombination of electron/hole pairs, but the photoelectrocatalytic effect was decreased when the applied electric potential was over 0.25 V. Among the electrolyte solutions added, sodium sulfate improved the photoelectrocatalytic effect most significantly. At last, the better photoelectrocatalytic degradation of sodium oxalate occurred at pH 3 when comparing the pH influence.
International production networks in the automotive industry: Drivers and enablers

The automotive industry was one of the earliest to internationalise, with overseas production by US companies already happening in the early 1900s. However, the arrangement for overseas automotive production at that time was quite different from the idea of international production networks in the contemporary sense. There were few linkages between international locations and overseas operations were designed either as largely self-sufficient, vertically integrated, replications of their domestic factories or as CKD/SKD assembly plants with little local technical content. By comparison, our current understanding of international production networks is that they are dispersed, collaborative, high value adding and centrally coordinated. This paper uses global company case analysis to identify the drivers and enablers that shape the international production networks of two automotive companies, BMW and Volvo Cars. The methodology contrasts with previous network studies of the automotive industry that have concentrated their analysis at the country and regional level.