Miracle-dz/UniFAR-FTUs huggingface dataset:
Chapter 6 Intelligent Robotic Perception Systems

Robotic perception is related to many applications in robotics where sensory data and artificial intelligence/machine learning (AI/ML) techniques are involved. Examples of such applications are object detection, environment representation, scene understanding, human/pedestrian detection, activity recognition, semantic place classification, object modeling, among others. Robotic perception, in the scope of this chapter, encompasses the ML algorithms and techniques that empower robots to learn from sensory data and, based on learned models, to react and take decisions accordingly. The recent developments in machine learning, namely deep-learning approaches, are evident and, consequently, robotic perception systems are evolving in a way that new applications and tasks are becoming a reality. Recent advances in human-robot interaction, complex robotic tasks, intelligent reasoning, and decision-making are, at some extent, the results of the notorious evolution and success of ML algorithms. This chapter will cover recent and emerging topics and use-cases related to intelligent perception systems in robotics.
ff ect of Co-Inoculation with Pichia fermentans and Pediococcus acidilactici on Metabolite Produced During Fermentation and Volatile Composition of Co ff ee Beans

Removal of the mucilage layer of coffee fruits by a fermentation process has became an interesting strategy to improve coffee quality, which is able to assist the formation of flavored molecules. In this study, four sets of inoculation protocols were evaluated using ripe and immature coffee fruits, respectively, including (i) pure culture fermentation with Pichia fermentans, (ii) pure culture fermentation with Pediococcus acidilactici, (ii) combined fermentation with P. fermentans and P. acidilactici, and (iv) spontaneous, non-inoculated control. The initial pulp sugar concentration of ripe coffee fruits (0.57 and 1.13 g/L glucose and fructose content, respectively) was significantly higher than immature coffee pulp (0.13 and 0.26 g/L glucose and fructose content, respectively). Combined inoculation with P. fermentans and P. acidilactici of ripe coffee beans increased pulp sugar consumption and production of metabolites (lactic acid, ethanol, and ethyl acetate), evidencing a positive synergic interaction between these two microbial groups. On the other hand, when immature coffee fruits were used, only pure culture inoculation with P. fermentans was able to improve metabolite formation during fermentation, while combined treatment showed no significant effect. Altogether, 30 volatile compounds were identified and semi-quantified with HSsolid phase microextraction (SPME)-gas chromatography coupled to mass spectrophotometry (GC/MS) in fermented coffee beans. In comparison with pure cultures and spontaneous process, combined treatment prominently enhanced the aroma complexity of ripe coffee beans, with a sharp increase in benzeneacetaldehyde, 2-heptanol, and benzylalcohol. Consistent with the monitoring of the fermentation process, only P. fermentans treatment was able to impact the volatile composition of immature coffee beans. The major impacted compounds were 2-hexanol, nonanal, and D-limonene. In summary, this study demonstrated the great potential of the combined use of yeast and lactic acid bacteria to improve fermentation efficiency and to positively influence the chemical composition of coffee beans. Further studies are still required to investigate the mechanisms of synergism between these two microbial groups during the fermentation process and influence the sensory properties of coffee products.
EFFECTS OF SIX-WEEK AEROBIC DANCE ON THE RESTING HEART RATE , BMI AND BLOOD GLUCOSE LEVEL OF OVERWEIGHT FEMALE ADMINISTRATIVE STAFF IN UNIVERSITY OF

42 EFFECTS OF SIX-WEEK AEROBIC DANCE ON THE RESTING HEART RATE, BMI AND BLOOD GLUCOSE LEVEL OF OVERWEIGHT FEMALE ADMINISTRATIVE STAFF IN UNIVERSITY OF LAGOS Awopetu, A.R; Esan, J.A; Adebero, A.S & Ademola, V.D Department of Human Kinetics and Health Education, University of Lagos Abstract The purpose of the study was to determine the effects of six-week aerobic dance on the resting heart rate, Body Mass Index (BMI) and blood glucose level of overweight female administrative staff in University of Lagos. The experimental method was used for this study which utilized the pre-test post-test research design. A total of thirty-five (35) participants formed the sample for the study. They were selected using purposive sampling technique. The samples were selected from the University of Lagos community. Overweight middle-aged women were identified using their Body Mass Index. Thirty-five (35) overweight middle-aged women were selected randomly from the identified population into an experimental group and a control group. 16 participants formed the experimental group, while 19 formed the control group. A pre-test was conducted for the two groups on their BMI, resting heart rate and blood glucose level. The experimental group went through aerobic dance programme for a period of six weeks, while the control group were asked to continue with their daily routine. A post-test was conducted for the two groups after six weeks to determine the effects of six-week aerobic dance on BMI, resting heart rate and blood glucose level of overweight middle-aged women. Data from the experiment conducted was analyzed using the descriptive statistics of percentages, mean and standard deviation. While the hypotheses were tested using the inferential statistics of t-test at 0.05 alpha level. Three hypotheses tested were significant, which implies that six weeks of aerobic dance had a significant effect on the BMI, Heart Rate and blood glucose level of overweight middle-aged women. It is recommended that individuals should take part in aerobic dance 4 to 5 days in a week in other to eliminate cardiovascular risk factors.
econstor Make Your Publications Visible . A Service of zbw

Suggested Citation: Hamburgisches Welt-Wirtschafts-Archiv (HWWA) (Ed.) (1959) : Mitteilungen aus Industrie und Wirtschaft: Größter Hochofen auf dem westeuropäischen Kontinent Sendzimir-Kaltband-Walzwerke für Japan Geschäftsbericht 1958 der Farbenfabriken Bayer AG Geschäftsbericht der Hamburgischen Landesbank-Girozentrale Commerzbank-Abschluß 1958, Wirtschaftsdienst, ISSN 0043-6275, Verlag Weltarchiv, Hamburg, Vol. 39, Iss. 7, pp. 414
Histopathology of gills of silver carp , Hypophthalmichthys molitrix ( valenciennes ) exposed to lead

The present study was aimed to investigate the effects of lead on histology of gills of silver carp, Hypophthalmichthys molitrix. The fish was exposed to three doses / treatments of lead (T1=6mg/l, T2=12mg/l, T3=18mg/l) for five weeks. In trial TI, the gills showed degeneration and fusion of secondary lamellae, dilation of blood vessel, proliferation of mucous cells and infiltration of erythrocytes. In trial T2, primary lamellae had swollen tips and severe hyperplasia on lamellar epithelium. Secondary lamellae were curled and fused to form club shaped structure and lamellar blood vessels were engorged. The cyst formation was followed by lamellar fusion. Haemorrhages and complete loss of secondary lamellae and epithelial degeneration was prominent. In Trial 3, acute atrophy and hypertrophy in the secondary lamellae was most evident feature. While vacuolation and severe degeneration of the basal epithelium of primary lamellae were prominent. Severe hyperplasia, necrosis and complete loss of secondary lamellae were the most serious effects of lead toxicity on gills. This study has shown that the heavy metal even in the lowest concentration has very toxic effects on the gills of silver carp, depending on the concentration of doses applied.
Electromechanical Properties of Fine-Grain , 0 . 7 Pb ( Mg 1 / 3 Nb 2 / 3 ) O 3-0 . 3 PbTiO 3 Ceramics

A fine grain, relaxor-based piezoelectric ceramic 0.7 Pb(Mg1 3Nb2 3)O3-0.3PbTiO3 (PMN-30% PT) has been investigated, which was fabricated using the columbite precursor method. The complete set of electromechanical properties of the piezoceramic at room temperature is determined using a combination of ultrasonic and resonance techniques. This fine-grain ceramic (grain size 2.5 m) exhibits ultra-high dielectric permittivity ( 33 0 7000) and a high coupling coefficient k33 (= 0.78). Ultrasonic spectroscopy was used to measure the dispersion of the phase velocity and attenuation for the longitudinal wave propagating in the poling direction. Lower attenuation and smaller velocity dispersion were observed compared to modified Pb(ZrxTi1-x)O3 (PZT-5H) ceramics. The measurement results show that this fine-grain PMN-30% PT ceramic is a very good material for making ultrasonic array
An Analysis of Income Smoothing Detection Methods

The purpose of this research is to investigate various income smoothing detection methods. Using a SEC identified sample of firms that were charged with violations of GAAP due to earnings manipulations and a matched sample of firms, we test seven popular models to determine which provide the best identification of income smoothing. The results indicate that, while there is no significant difference between six of the seven detection methods, the Dechow et al. method provides different results. We found the Dechow, et al. method to be significantly different in detecting smoothing, although this method was different only because it detected 25 out of the total of 28 firms as income smoothing firms. Our results indicate that many more of the matched sample appear to be income smoothing firms and fewer of the SEC sample appear to smooth income. We think these results indicate that researchers should be cautious in their conclusions. While these methods provide differing results, they also provide insight into the various aspects of income smoothing and the resulting effect on earnings. Therefore this research has provided insight into the different income smoothing detection models, while also indicating that different methods are not equally suited to determine all forms of income smoothing. The appropriate methodology must be chosen to address the specific aspects of income smoothing or earnings management that the researcher is investigating.
COMBINED RADAR AND LIDAR OBSERVATIONS FOR THE RETRIEVAL OF RADIATIVE AND MICROPHYSICAL PROPERTIES IN ICE CLOUDS

To appreciate the radiative impact of clouds in the dynamics of the global atmosphere, it is important to deploy from space, from aircraft, or from ground, instruments to describe the cloud layering and to document the cloud characteristics (namely liquid and/or ice water content, and effective radius. Earth CARE (Earth Cloud Aerosol Radiation Explorer) is an ESA mission aiming to address this question. It plans to combine on the same spaceborne platform a cloud radar and a lidar to retrieve the microphysical and radiation properties of clouds. The same combination (radar -lidar) will be also launched with the Afternoon-train of Cloudsat (NASA cloud radar) and Calipso (CNES lidar). RALI (RAdar-LIdar) developed at IPSL (France), which combines the 95 GHz cloud radar RASTA of the CETP and the 0.5 μm wavelength backscattering lidar LEANDRE of the Service d'Aéronomie, is an airborne demonstrator for this mission. The first tests of RALI were successfully completed during the last Carl2000 and Carl2001 field projects (in November 2000 in Brest and in March 2001 in Bretigny-sur-Orge, France), where both instruments were mounted on board the french ARAT aircraft. The Meteo-France MERLIN aircraft, instrumented with microphysical probes of the GKSS (Germany) for Carl2000 and of the LAMP/Météo-France (France) for Carl2001, was simultaneously flying within the clouds below the ARAT. We will present in this paper the principles of the algorithm that combines lidar and radar data. Then we will show some simulation results taking into account the natural variability of the intercept parameter of the particle size distribution and we will also present results of this algorithm applied to data from Carl2001. ____________________________ Corresponding author's address: Claire Tinel, CETP/UVSQ/CNRS, 10-12 av de l'Europe, 78140 Vélizy, France e-mail: Claire.Tinel@cetp.ipsl. fr 2. RADAR LIDAR SYNERGY
ROAD EXTRACTION IN A VERY HIGH RESOLUTION IMAGE BASED ON HOUGH TRANSFORMATION AND LOCAL BINARY PATTERNS

Recently, many approaches have been presented for automatic urban road extraction. Most of these approaches are based on line detecting algorithms. This paper present a new method of road extraction from high resolution image in urban areas, based on Hough Transformation and Local Binary Patterns. The Hough Transformation method has proven important results to straight line extraction, but it still not sufficient to distinguish between road and others objetcs are similar spectral reflectance (building, parking lots, square and other built-up areas) making road extraction intrinsically difficult. However the Local Binarry Patterns (LBP) seems to be a promising method, it compare the luminance level of a pixel with the levels of its neighbors. This therefore reflects information on regular patterns in the image what is called a texture. The main contribution of this work is using the LBP operator in the road extraction. We applied our system on a set of satellite imagery, the combination of the LBP operator and Hough transformation provide empirical results illustrating the effectiveness of our approach. Furthermore, we compared the proposed method with other existing method in the literature. We conclude that the proposed method can provide an effective means for extracting roads over densely populated urban areas from VHR satellite images.
Essays on Asset Pricing Factor Models : Evidences on Idiosyncratic Volatility , Emerging Markets and Monetary Policy

Leite, André Luís; Klotzle, Marcelo Cabús (Advisor). Essays on Asset Pricing Factor Models: Evidences on Idiosyncratic Volatility, Emerging Markets and Monetary Policy. Rio de Janeiro, 2018. 97p. Tese de Doutorado – Departamento de Administração, Pontifícia Universidade Católica do Rio de Janeiro. Since its proposition in the 1960s, the capital asset pricing model and its expansions, in particular the modeling proposed by Fama and French between the years 1992 and 2015, caused an enthusiastic debate about the economic interpretation of its factors. It has been demonstrated in the academic literature that variables describing the set of future investment opportunities should command a risk premium and should be correlated with the Fama and French factors. Another issue that has always been discussed is the application of this type of modeling to emerging markets. Weaker and less structured economies would follow the same rationality of developed markets? Fama-French's expansions add to the CAPM model factors that represent size, value, operating profitability, and corporate investment policy in two basic model versions. The first, proposed in 1993, adds to the excess market return a factor of size and a factor of value. It is usually called the three-factor model. The second, proposed in 2015, adds to the three-factor version a factor of operational profitability and a factor of companies’ investment policy. It is usually called the five-factor model. With the use of these models and the financial concepts involved, this thesis studies the possibility that the innovations in the average market variance, decomposed into two factors, one representing the average market variation and another representing the average market correlation, could increase the explanatory capacity of the three-factor model with respect to the excess returns of stock portfolios. It also studies the ability of the five-factor model to best explain stock portfolio returns in emerging market economic blocks relative to the original CAPM and the three-factor model. Finally, the study shows that innovations in the inflation index and innovations in the slope of the interest curve are proxies for size, value, profitability, and investment factors, and, together with excess market returns, explains cross-section of excess returns on stock portfolios better than the five-factor model.
Researches on the obtaining of piroxicam pellets by extrusion – spheronization . Influence of operational variables on the properties of pellets

REZUMAT Condiţiile de procesare au un efect pronunţat asupra proprietăţilor peletelor cu piroxicam. Ambele mărimi, timpul de sferonizare şi viteza de sferonizare, afectează forma peletelor, iar modificările formei acestora le afectează apoi proprietăţile de curgere. În cadrul studiului, sfericitatea peletelor a fost mai afectată de timpul de sferonizare decât de viteza de sferonizare. Condiţiile de uscare influenţează friabilitatea peletelor, aceasta scăzând odată cu creşterea temperaturii de uscare, fapt ce indică formarea unor structuri mai dense la temperaturi mai mari. Acelaşi rezultat a fost obţinut prin modificarea timpului de sferonizare. Cu creşterea timpului de sferonizare, a scăzut friabilitatea, din cauza formării unor mase mai compacte la timpi de sferonizare mai mari. Mărimea medie nu a fost afectată de timpul de sferonizare sau de viteza de sferonizare.
Agent framing moderates concerns about moral contagion

Concerns about moral contamination shape people’s attitudes towards the objects they encounter in daily life. For example, money seems less desirable when it comes from a robbery (Tasimi & Gelman, 2017). Drawing on the theory of dyadic morality, we hypothesized that increasing an individual’s sense of agency would reduce the salience of moral contagion and make people feel less vulnerable to moral contamination. Across two experiments, we adapted the study design of Tasimi and Gelman (2017), asking participants how much they desired a $1 (Experiment 1) or $100 (Experiment 2) bill associated with different negative moral histories. We modified the stimulus language so that participants were framed as either the moral agent or patient for all scenarios. As predicted, participants in the agent language condition expressed nearly the same level of desire regardless of the bill’s moral history, highlighting the role that feelings of agency play in moral decision-making.
Deep Neural Networks As Time Series Forecasters of Energy Demand

DEEP NEURAL NETWORKS AS TIME SERIES FORECASTERS OF ENERGY DEMAND Gregory D. Merkel, B.S. Marquette University, 2017 Short-term load forecasting is important for the day-to-day operation of natural gas utilities. Traditionally, short-term load forecasting of natural gas is done using linear regression, autoregressive integrated moving average models, and artificial neural networks. Many purchasing and operating decisions are made using these forecasts, and there can be high cost to both natural gas utilities and their customers if the short-term load forecast is inaccurate. Therefore, the GasDay lab continues to explore new ways to make better forecasts. Recently, deep neural networks (DNNs) have emerged as a powerful tool in machine learning problems. DNNs have been shown to greatly outperform traditional methods in many applications, and they have completely revolutionized some fields. Given their success in other machine learning problems, DNNs are evaluated in energy forecasting. This thesis examines many DNN parameters in the context of the short-term load forecasting problem including architecture, input features, and use of synthetic data. The performance of the model is compared against several traditional forecast strategies, including artificial neural networks and linear regression short-term load forecasting strategies. Additionally, the DNN forecaster is evaluated as part of the GasDay ensemble. The DNN forecaster proposed in this thesis offers an average 6.98% improvement in terms of weighted mean absolute percent error (WMAPE) when included as part of the GasDay ensemble. Finally, ideas for future work are discussed.
Improved Modelling of Fusarium to Aid Mycotoxin Prediction in UK

While the Agriculture and Horticulture Development Board seeks to ensure that the information contained within this document is accurate at the time of printing, no warranty is given in respect thereof and, to the maximum extent permitted by law, the Agriculture and Horticulture Development Board accepts no liability for loss, damage or injury howsoever caused (including that caused by negligence) or suffered directly or indirectly in relation to information and opinions contained in or omitted from this document.
'Back-Loaded' Tax Subsidies for Saving, Asset Location and Crowd-Out: Evidence from Tax-Free Savings Accounts

This paper presents estimates of the causal effect of Canadian Tax-Free Savings Accounts (TFSAs) balances on household saving and portfolio asset location choices. Contributions to TFSAs are not tax-deductible but capital income earned in the account accrues tax-free and withdrawals are not taxed. Using a difference-in-differences research design that exploits the sharp change in a family’s cumulative TFSA contribution room that arises when a family member turns 18 years old, I find that a 10 percent increase in TFSA balances reduces taxable financial asset holdings by 2.5 percent with no statistically significant effect on holdings in traditional tax-deferred accounts. I also find that the crowd-out in taxable asset holdings is driven by families reducing the share of their taxable financial assets held in fixed income securities
Grant Support and Exporting Activity : Evidence from Irish Manufacturing *

This paper investigates whether government support can act to increase exporting activity. To this end we use a rich plant level data set for Irish manufacturing. Results show that grants, if sufficiently large, can act to increase the export intensity of firms that are already exporters, but we find no evidence that they can turn non-exporters into exporters.
Illustration on Secure and Efficient Multi-keyword Ranked Search on Encrypted Cloud Data

: More and more business people today store and share their data by using the public cloud services because of its promising economical benefits, ease and flexibility in the data sharing. However, there can be malicious data users who misuses the sensitive data shared by the data owners. To avoid this we have to encrypt the data before outsourcing it into the cloud. There are so many techniques proposed to perform efficient search on the encrypted data in the cloud and out of them the ranked multi-keyword search have acquired more attention. In this paper, we propose a model where an efficient search is performed on the encrypted information stored in the cloud by providing the ranks to the keywords. We have encrypted the information by using RSA algorithm and we implement an efficient searching technique by matching the coordinates.