Miracle-dz/UniFAR-FTUs huggingface dataset:
Long Memory Persistence in the Factor of Implied Volatility Dynamics

The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied Volatility Surface (IV S). Practical applications require reducing the dimension and characterize its dynamics through a small number of factors. Such dimension reduction is summarized by a Dynamic Semiparametric Factor Model (DSFM) that characterizes the IV S itself and their movements across time by a multivariate time series of factor loadings. This paper focuses on investigating long range dependence in the factor loadings series. Our result reveals that shocks to volatility persist for a very long time, affecting significantly stock prices. For appropriate representation of the series dynamics and the possibility of improved forecasting, we model the long memory in levels and absolute returns using the class of fractional integrated volatility models that provide flexible structure to capture the slow decaying autocorrelation function reasonably well.
A Practical Approach for Gender- and Diversity-informed Geomedia Education for Teachers in Training

At the University of Salzburg, a new module links science topics, pedagogy and school practice for students in teacher-training. In a pilot project within this module, an iterative process of curriculum development for the topic of gendered spaces in the city was developed. The approach is based on everyday geomedia use and its implications for the construction of feminine/masculine spaces. This paper reports on the process of linking scientists, student teachers and secondaryschool students, both showing the feasibility of the approach and giving indications of its effectiveness with regard to diversity-sensitive learning.
ENZYME-ASSISTED EXTRACTION OF CAROTENOIDS FROM BULGARIAN TOMATO PEELS

Enzyme-assisted extraction of carotenoids from tomato peels of the Bulgarian cultivar “Stela”, one of the most widely used cultivars by the canning industry, was examined in this study. The carotenoid content in raw tomato peels was established by HPLC analysis. A two-step protocol was followed: the tomato peels were fi rst treated with enzymes and then extracted by the use of acetone as a solvent for 30 min at 20±1 °C and solid/liquid ratio of 1:30. The total carotenoid, lycopene, and β-carotene extraction yields were increased by the use of pectinase, cellulase, endo-xylanase, and proteinase enzymes in comparison with the non-enzyme-treated samples. The increase in the extraction yield was affected by the enzymes used, the enzyme concentration, the pretreatment time and temperature. Maximum total carotenoid (55.15 mg/100 g d.w.), β-carotene (35.85 mg/100 g d.w.), and lycopene (15.44 mg/100 g d.w.) extraction yields were obtained in peels pretreated with mixed cellulase (100 U g–1) and endo-xylanase (400 U g–1) for 4 h at 50 °C. Carotenoid recovery by mixed cellulolytic and hemi-cellulolytic enzyme pretreatment of tomato peels is a good approach, which can be used for waste utilization.
A Smart Home Automation system using IoT and Open Source Hardware

In the era of Internet of Things, the information will be exchanged without the intervention of human. The manual systems are transforming into smart systems with the incorporation of IoT. The remote superintendence of electrical devices and sensors in the home environment with the employment of the internet is called as home automation. The electrical devices like bulb, fan and the sensors like temperature sensor, gas sensor, flame sensor, PIR sensor, current sensor are monitored and controlled by the user remotely with the employment of IoT technology. The implemented system, has both the transmitter and receiver section. In the transmitter section the information from room 1 and room 2 will be gathered at the central server. The Arduino Uno and ESP8266 plays a significant role in the transmitter section. The Raspberry Pi central server facilitates the gathered information to the user in a Graphical user interface.
Developing and Conducting Entrepreneurship Education for Engineering Students: Lessons learned while educating students through entrepreneurship

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Landscape-scale variation in coral recruitment in Moorea, French Polynesia

In this study, we describe spatio-temporal variation in coral recruitment in the back reef of Moorea, French Polynesia, and explore the extent to which it is associated with community struc- ture, seawater temperature, and wave regimes. Recruitment was assessed with settlement tiles deployed at 10 sites on the north, southeast, and southwest shores and sampled every 5 to 7 mo from 2005 to 2007. Temperature and waves were measured using thermistors and pressure sensors, and community structure was assessed using in situ surveys. Mean recruitment varied from 0 to 6 recruits tile -1 (510 cm 2 ) and was generally greater in the second compared to the first year of the study. Recruitment varied among sites, and this variation was similar between years but differed among sampling periods: acroporids were common on the southwest shore between January and September, but rare from September to January; poritids were common on the north shore between September and January, but rare on the southwest shore from January to September; and pocillo- porids were found all year, but at slightly elevated densities between January and September. The mean daily seawater temperature, and the daily range, varied among sites, but neither was closely related to coral recruitment, and both were of biologically small magnitudes. The coral community structure also varied among sites, but likewise, was not associated with coral recruitment. In contrast, outer reef wave energy exposure, which likely played an important role in driving cross-reef trans- port of seawater into the lagoon, differed between shores and seasons in a pattern consistent with the variation in coral recruitment in the back reef. We hypothesize that coral recruitment in the back reef of Moorea is influenced by the interaction of seasonal variation in wave exposure, family-level differ- ences in coral reproductive timing, and the spatial distribution of adult corals.
Population genetics and phylogeography of antilopine wallaroo using degraded dna from scats and museum specimens.

Management and conservation requires a comprehensive understanding of species distributions and habitat requirements. Reliable species occurrence data is critical in the face of climate change and other anthropogenic activity, but is often difficult to obtain or absent, particularly for wide ranging species. This directly affects ecological models of occurrence and habitat suitability and, in turn, conservation and management decisions. We used generalised linear mixed-effects models to identify ecological correlates of occurrence for four macropod species, across a region of tropical northern Australia, using a non-invasive genetic scat approach with and without additional observation records from visual surveys. We show that genetically derived occurrence data, alone, can be used to develop informative ecological models that describe the inter-specific habitat requirements of macropods. Furthermore, we show that genetic scat surveys of macropods are cheaper and less time consuming to conduct, Chapter III: Modelling occurrence 48 and tend to provide more occurrence records (and less false absences), then visual surveys. We conclude that indirect surveys using molecular approaches have an important role to play in modelling species occurrence, and developing future management practices and guidelines to aid species conservation.
How does industrial protection affect the agricultural sector? A quantitative general equilibrium analysis for Peninsular Malaysia

This paper investigates quantitatively the effects of trade policy on agriculture in the empirical context of Peninsular Malaysia using a SAM-based multi-sectoral, general equilibrium model. The focus of the analysis is on the economy-wide implications of changes in tariffs on import-substituting manufacturing activities. In general, the results bear out the expectation that industrial protection distorts incentives favoring manufacturing and nontradable activities over agriculture as a whole. Whereas this result is familiar from other recent studies, the general-equilibrium approach allows many additional disaggregate findings. Industrial protection in Malaysia taxes, e.g., not all agricultural sectors. The rubber sector is discriminated by tariff protection for manufacturing, but the oil palm sector is favored due to strong forward linkages to the protected industries.
Document Summarization using TextRank and Semantic Network

The research has implemented document summarizing system uses TextRank algorithms and Semantic Networks and Corpus Statistics. The use of TextRank allows extraction of the main phrases of a document that used as a sentence in the summary output. The TextRank consists of several processes, namely tokenization sentence, the establishment of a graph, the edge value calculation algorithms using Semantic Networks and Corpus Statistics, vertex value calculation, sorting vertex value, and the creation of a summary. Testing has done by calculating the recall, precision, and F-Score of the summary using methods ROUGE-N to measure the quality of the system output. The quality of the summaries influenced by the style of writing, the selection of words and symbols in the document, as well as the length of the summary output of the system. The largest value of the F-Score is 10% of the length ta of the document with the F-Score 0.1635 and 150 words with the F-Score 0.1623.
Personal Internet Usage at Work: The Dark Side of Technology Adoption

Internet access in the workplace has become ubiquitous in many organizations. Often, employees need this access to perform their duties. However, many studies report a large percentage of employees use their work Internet access to engage in nonwork-related activities. These activities can result in reduced efficiency, increased vulnerability to cyber attack, and legal liability for the organization. In this study, we use a survey method approach to determine the impact of perceived moral intensity on employees’ decisions to engage or not engage in personal Internet usage at work.
Current State and Perspective in the Models Applicable to Oenology

Modeling, simulation, and control of the alcoholic fermentation of grape juice into wine are still not a totally resolved problem. A model that makes it possible to predict alcoholic fermentation development would be a valuable instrument to its technical and economical implications. Considering the field of bioprocess used in food production at the industrial scale, the chapter will be centered on models applicable to oenol- ogy. On the first part, the chapter proposes the different approaches that have been taken: “ knowledge-based ” models, non-physiological mathematical descriptions, behavior prediction models, and empirical models. The second part will deal with a nonlinear model for white wine alcoholic fermentation process which, besides the detailed kinetic model, involves equations corresponding to the physiological phases of yeast cells, the inhibitory effect of ethanol, heat transfer equations, and the dependence of kinetic parameters on temperature.
How and Why Do Corporations Combine Lobbying with Social Responsibility

Lobbying by business interests is of major public and academic concern. At the same time, corporations are increasingly engaging in various activities related to corporate social responsibility (CSR) and ‘citizenship’. While these two modes of non‐market activity are fundamentally political in nature, business actors as well as researchers are frequently uncertain about how they (should) relate to each other: How do corporations combine more overtly self‐interested corporate political activity (CPA) and with expectations of corporate social responsibility and citizenship? To investigate these questions, we analyze a new dataset of almost 1,000 corporations from Germany, the UK and the US that contains information on their political and social activities. We develop and test empirical models of CPA and CSR to evaluate expectations that these two modes of behaviour can be explained by the same behavioural logic. Our findings show that CPA and CSR can be explained by the same theoretical arguments and empirical models. Moreover, engaging in CPA significantly increases the likelihood of a corporation to employ CSR related strategies.
MONEY DEMAND AND FOREIGN EXCHANGE RISK IN NIGERIA: A COINTEGRATION ANALYSIS USING AN ARDL BOUNDS TEST

The paper estimates the money demand function that incorporates a foreign exchange risk variable for Nigeria using annual time series data (1970-2006). The applied technique of cointegration analysis is the bounds test which involves autoregressive distributed lags (ARDL). Consistent with economic postulates, it is found that (a) the demand for money in the log-run is cointegrated with real income, exchange rate variability, interest rate and inflation; (b) the short-run income elasticity is less than one but greater than zero; (c) inflation is more significant than real income in the money demand function; and (d) the real money demand function is stable. JEL Classification: C13, C22, E41, E52, F31.Key words: Bounds test, Money demand, Foreign exchange risk, Autoregressive distributed lags (ARDL), Inflation targeting, Nigeria.
Epilithic biomass in a large gravel‐bed river (the Garonne, France): a manifestation of eutrophication?

In order to evaluate the impact of outputs of the city of Toulouse (740 000 inhabitants) on the epilithic communities colonizing pebble banks in the river Garonne, a large gravel‐bed river (eighth order), dry mass (DM), ash‐free dry mass (AFDM) and chlorophyll‐a (chla) epilithic biomass per unit area were measured and autotrophic index (AI) (i.e. ratio AFDM/chla) was calculated at four stations. This river is morphologically characterized by a succession of pools and riffles and by highly fluctuating hydraulic conditions. At the four stations studied (223 km apart), the means of AFDM values varied between 17.1 and 31.1 g m−2 of colonized surface and the chla concentration varied between 112 and 254 mg m−2. However, there were no significant differences in AFDM per unit area between the parts of the river upstream and downstream of the Toulouse area (Mann–Whitney U‐test statistic), nor between the four stations (Kruskal–Wallis test statistic), and the AI did not allow the description of changes in periphyton communities between sampling locations. This study showed that epilithic biomass should be considered as the typical microbial community of the river rather than as a manifestation of eutrophication. Copyright © 2002 John Wiley & Sons, Ltd.
Neutron Scattering Estimates of the Effect of Charge on the Micelle Structure in Aqueous Polyelectrolyte Diblock Copolymer Solutions

The dimension of spherical micelles of the diblock copolymer poly(styrene-block-acrylic acid) (PS(20)-b-PA(85)) was investigated as a function of the degree of ionization of the polyelectrolyte in the coronal layer. To describe the structural arrangement of the blocks, the partial structure factors pertaining to PS-PS and PA-PA density correlations as well as the composition structure factor were obtained with small-angle neutron scattering and contrast matching in water. The PS blocks form a densely packed spherical core with a radius 4.5 nm and an aggregation number 100; the core structure does not depend on the corona charge to a significant degree. The extension of the PA chains in the coronal layer, and, hence, the micelle radius, are found to be highly sensitive to the degree of ionization. At full ionization, the PA chains are almost fully stretched with a density scaling proportional to the inverse second power of the radius away from the core. For lower charge fraction, the results are interpreted in terms of scaling theory for star-branched polyelectrolytes, including the effects of charge annealing. The dimension of the micelles was found to be controlled by the balance of the elastic, conformational, stretching forces and the osmotic pressure exerted by the counterions trapped within the corona.
Development of a Broadband Substrate Integrated Waveguide Cavity Backed Slot Antenna Using Perturbation Technique

─ A novel method for bandwidth enhancement of Substrate Integrated Waveguide (SIW) cavity-backed slot antenna is introduced for a single element and an array configuration. Using a corner cut in the SIW square cavity, resonant frequency of two degenerate TE210 and TE120 modes of a square cavity are separated and impedance bandwidth is improved. The simulated and measured results of the antennas show at least 140% and 220% wider bandwidth compared to the bandwidth of a conventional single cavity antenna for single and two element array antennas, respectively. The presented antennas provide a few advantages including low profile, light weight, easy fabrication with low cost and convenient integration with planar circuits. Index Terms ─ Antenna array, cavity-backed antenna, slot antenna, Substrate Integrated Waveguide (SIW).
Essential heterogeneity in the impact of community driven development

We consider essential heterogeneity in the impact of a large-scale community-Driven Development (CDD) program in Senegal. Essential heterogeneity arises when unobservables determine the idiosyncratic gains from participation in a program, thereby generating correlation between treatment effects and selection. Standard instrumental variables estimates are shown to provide an extremely poor estimate of the impact of the program on child nutrition. Application of the local instrumental variables (LIV) estimator using semi-parametric techniques reveals extensive heterogeneity in the impact of the program, with children living in villages with unobservables that make them more likely to receive a completed project benefitting much more than children in villages whose unobservables induce a low likelihood of receiving a project. These techniques provide a sensible and easily applicable manner of assessing whether the decentralized allocation of projects that is inherent to CDD programs is resulting in those who benefit most from treatment actually receiving it.
Tensile Properties and Biocompatibility of Indonesian Wild Silk Cricula Trifenestrata: A Preliminary Study

As it is reported in many publication about successful work of many research in developing biomaterial from Bombyx mori silk which is attract many researchers to observe the possibilities in using different type of the silk other than Bombyx mori for biomaterial. Wild silks which is a silk that is not obtained from domesticated species are become object to explorer for better result for biomaterial. This research focused on Wild silk cocoon of Cricula trifenestrata obtained from Indonesian source. In this study the degumming process to separate the fiber from the cocoon was explored and the result is a separated fiber that is tested for its tensile strength and biocompatibility. It can be concluded that the silk obtained from cocoon of Cricula trifenestrata has good biocompatibility properties. The silk can be prepared by degumming method of boiling in 0.01 M NaOH for 1 hour. The modulus elasticity of the single fiber of Cricula trifenestrata is about 3681 MPa. The ultimate tensile strength is obtained about 162 MPa together with value of failure strain about 0.12. 
Re-evaluating Multifactor Leadership Questionnaire Construct: A Validation Study in the Pharmaceutical Sector of Punjab, Pakistan Context

Current study inspected the psychometric properties of multifactor leadership questionnaire (MLQ) in pharmaceutical sector of Pakistan. Data was collected from 370 employees working in pharmaceutical companies in Lahore region of Punjab, Pakistan. Data was analyzed by using Smart-PLS 2.0 M3 statistical software. The results of the current study demonstrated that all the leadership styles in MLQ were adequately relevant according to the Pakistani context. The results further revealed that each leadership style showed optimum internal consistency reliability, convergent validity and discriminant validity. Based on the current study results, it is highly suggested that the use of MLQ instrument would be very useful in order to measure the leadership styles in Pakistan, particularly in pharmaceutical sector.
LMI synthesis of H2 and mixed H2/H∞ controllers for singular systems

This paper considers the H/sub 2/ control problems for continuous-time singular systems with and without an H/sub /spl infin// constraint. Without the constraint, we derive necessary and sufficient conditions for the existence of H/sub 2/ output feedback controllers using the linear matrix inequality (LMI) approach. With the H/sub /spl infin// constraint, sufficient LMI conditions on the existence of the H/sub 2/ controller are obtained. In both cases, the desired H/sub 2/ controller can be constructed through the feasible solutions of the LMIs. The proposed synthesis method is illustrated through numerical examples.
Design of Dual Mode RFID Antenna for Inventory Management and IV Fluid Level Warning System

Radio frequency identification (RFID) readers are powered RF devices that communicate with an RFID tag to read necessary information. Using this capability, a dual use system for short distance inventory management and moderate distance automatic warning system for low intravenous (IV) fluid levels is designed. The RFID is affixed on the IV drip bag; the fluid in bag affects the antenna transmission distance by fluid dielectric conditions. This allows for two different operational modes (moderate and short distance). For pharmaceutical management, a handheld RFID reader can be used for short distance application. Another stationary RFID system can serve as a warning system for long distance application such as hospital care.
Energy Efficient Routing Protocol for Delay Tolerant Network Based on Fuzzy Logic and Ant Colony

The messages routing in a DTN network is a complicated challenge, due on the one hand of intermittent connection between the nodes, the lack of the end-to-end path between source / destination and on the other hand, the constraints related to the capacity of the buffer and the battery. To ensure messages delivery in such an environment, the proposed routing protocols use multiple copies of each message in order to increase the delivery ratio. Most of these routing protocols do not take into account the remaining energy of nodes and the history on the relays that have already received a copy of the message in order to select the nodes that will participate in the message routing. This paper proposes a new approach named EERPFAnt inspired by the ant colony intelligence and improved by the fuzzy logic technique to select the best relay by combining the energy level of the nodes, as well as the information on the relay that have already received a copy of the message to estimate intelligently, the energy level of the nodes at the time of encounter with the desired destination. Simulation results will show that the proposed approach performances are better than those of Epidemic routing protocols, Spray and Wait and ProPHET.