Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ACCEPTANCE OF PROPOSED TOURISM DEVELOPMENT PROJECT IN NEWLY DEVELOPED DISTRICT

This study examined the socio economic impact of the proposed tourism development project based on the demographic and household profiles of the residence within the 10 kilometers radius from the designated location of the project. Survey results from the perception of the residence indicated that approximately 76% believed that the project will provide a positive socio economic impact to the local communities while there were only 10% disagreed to its contribution. Further exploration also revealed that most of the respondents rejected the idea of having a golf course as part of the tourism development package, there was a mix opinion about another tourism package concerning horse riding centre. Keyword: Tourism development, benefit, amenities development.
DetectionofSentenceBoundaries in PolishBasedonAcoustic Cues

In this article the authors investigated and presented the experiments on the sentence boundaries annotation from Polish speech using acoustic cues as a source of information. The main result of the investigationisanalgorithmfordetectionofthesyntacticboundariesappearingintheplacesofpunctu- ationmarks.Intherststage,thealgorithmdetectspausesanddividesaspeechsignalintosegments.In thesecondstage, itveriesthecongurationof acousticfeatures andputshypothesesof thepositionsof punctuation marks. Classication is performed with parameters describing phone duration and energy, speaking rate, fundamental frequency contours and frequency bands. The best results were achieved for Naive Bayes classier. The eciency of the algorithm is 52% p recision and 98% recall. Another signi�- cantoutcomeoftheresearchisstatistical modelsof acoustic cuescorrelated withpunctuationinspoken Polish.
Nonlinear Relationship between Debt Financing and Business Performance in Real Estate Companies with Different Growing Abilities

Demand for funds is high for listed real estate companies. The degree of debt financing has a great impact on their business performance. This paper examines the relationship between debt financing and business performance under different growing abilities by building a panel threshold regression model for 107 listed real estate companies in China. It is shown that a negative declining effect exists between the rate of debt and business performance. Also, there is a triple threshold effect for companies with different growing abilities. The negative influence decreases with the growing abilities of business. As a result, listed real estate companies should adopt appropriate debt financing scale based on their development levels in order to maximize the benefits. Keywords—panel threshold model; debt financing; business performance; growing abilities
Statistical Analysis of the Relationship between Public Transport Accessibility and Flat Prices in Riga

A relationship between public transport accessibility and residential land value is a point of interest of many recent researches. A hedonic price regression model, widely used in this research area, has one very important shortcoming – it calculates an "average" influence of factors on land value in the analysing area. Usually spatial effects present in data, and the influence of public transport accessibility can be distributed over the area non-uniformly. In this study we apply a comparatively new modification of the regression model – geographically weighted regression – to examine the relationship between public transport accessibility and residential land value (in a form of rent and sell prices) in Riga. The proposed method allows taking into account spatial effects present in the relationship. We use information about geographical locations of urban public transport stops and routes to calculate a level of transport accessibility. Together with the transport accessibility level and a common set of property-specific parameters (floor area, number of rooms, etc.) we consider additional hedonic properties of a flat location such as distances to supermarkets, higher schools and natural attractors like large parks, the river, and the seaside.
Genetic population structure of European anchovy in the Mediterranean Sea and the Northeast Atlantic Ocean using sequence analysis of the mitochondrial DNA control region

The European anchovy (Engraulis encrasicolus) exhibits a complex population structure in the Mediterranean Sea and Northeast Atlantic Ocean. To resolve the population genetic structure of this species, we surveyed sequence variability in themitochondrial (mtDNA) control region in samples (n 1⁄4 563) from 13 locations in the Northeast Atlantic, the Bay of Biscay, and the Mediterranean Sea. Based on pairwise FSTs, SAMOVA, and multidimensional scaling, a complicated population structure composed of multiple populations emerged. Combining these results with those from previous population studies based on mitochondrial and nuclear markers, we identified nine genetically differentiated European anchovy populations: (i) Canary Islands; (ii) Cadiz; (iii) Alboran Sea; (iv) Garona; (v) Arcachon and Donostia; (vi) a large population in the northwestern Mediterranean, including Cadaques, Gulf of Lyon, Elba, and Sicily; (vii) southern Adriatic; (viii) northern Adriatic; and (ix) Aegean Sea. We suggest that independent management strategies should be implemented for each genetically differentiated population, and, in caseswhere several fisheries stocks are recognizedwithin an areaof genetic homogeneity, each stock should be managed separately.
Impact of emotions on fundamental speech signal frequency

The paper deals with recognition of speeches made in a particular emotional state and examines the impact of person’s emotional state on the fundamental speech signal frequency. Vocal chords create audio signals which carry information coded with human language. This process is called human speech. Based on a speech signal several speaker’s attributes such as sex, age, speech disorders (stuttering or cluttering) and emotional state can be determined. As for emotions, only about 10% of speaker’s emotional state or state of mind is expressed by means of speech. On that ground, a selection and a computation of suitable parameters is an important part of a system designed to determine emotions from speech signals. These parameters should be as relevant as possible in relation to the speaker’s emotional state. The fundamental signal frequency is one of the speech parameters. We dealt with a method for extracting the fundamental speech signal frequency by means of a central clipping and its exploitation for the system classifying the speaker’s emotional state. Key-words: Fundamental frequency, Emotions, Pitch extraction, Energy, Zerro Crossing Ratio, ANOVA.
Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks with Regular Topologies

Time synchronization in wireless sensor networks is an essential issue in their operation. The synchronization is deeply influenced by network size and complexity. System dynamics and algebraic graph theory provide the suitable mathematical framework to describe the dynamical and topological features of complex networks. These features are very useful to understand overall aspects of network time evolution, in particular the ability to achieve steady synchronization states. In this paper, we apply the mathematical tools provided by theory to assess the ease of synchronization of a wireless sensor network with regular topology, initially designed to support surveillance applications. From these theoretical results, the research work described will focus on the performance analysis of different time synchronization protocols that allow network nodes to share a common global time, either with the diffusion of a master reference timestamp or with the consecutive exchange of local timestamps among neighbor nodes, in order to achieve a global dynamical consensus. Keywords— wireless sensor network; synchonization protocol; spectral graph theory; consensus dynamics; surveillance application.
A Spatiotemporal Analysis of Participatory Sensing Data 'Tweets' and Extreme Climate Events Toward Real-Time Urban Risk Management

Real-time urban climate monitoring provides useful information that can be utilized to help monitor and adapt to extreme events, including urban heatwaves. Typical approaches to the monitoring of climate data include weather station monitoring and remote sensing. However, climate monitoring stations are very often distributed spatially in a sparse manner, and consequently, this has a significant impact on the ability to reveal exposure risks due to extreme climates at an intra-urban scale. Additionally, traditional remote sensing data sources are typically not received and analyzed in real-time which is often required for adaptive urban management of climate extremes, such as sudden heatwaves. Fortunately, recent social media, such as Twitter, furnishes real-time and high-resolution spatial information that might be useful for climate condition estimation. The objective of this study is utilizing geo-tagged tweets (participatory sensing data) for urban temperature analysis. We first detect tweets relating hotness (hot-tweets). Then, we study relationships between monitored temperatures and hot-tweets via a statistical model framework based on copula modelling methods. We demonstrate that there are strong relationships between "hot-tweets" and temperatures recorded at an intra-urban scale. Subsequently, we then investigate the application of "hot-tweets" informing spatio-temporal Gaussian process interpolation of temperatures as an application example of "hot-tweets". We utilize a combination of spatially sparse weather monitoring sensor data and spatially and temporally dense lower quality twitter data. Here, a spatial best linear unbiased estimation technique is applied. The result suggests that tweets provide some useful auxiliary information for urban climate assessment. Lastly, effectiveness of tweets toward a real-time urban risk management is discussed based on the results.
Cytotoxicity, antifungal and antioxidant activities of the essential oil from Eupatorium ballotifolium Kunth (Asteraceae)

This study aimed to characterize chemically and evaluate the cytotoxicity and antioxidant, antifungal and modulatory activities of the essential oil of Eupatorium ballotifolium, collected in the mountainous region of Meruoca in the state of Ceara. The antioxidant activity was investigated by the free radical 1,1-diphenyl-2-picrylhydrazyl (DPPH) scavenging assay and β-carotene/linoleic-acid oxidation model system. The lethality bioassay was performed using Artemia salina (brine shrimp). The evaluation of the antifungal activity in vitro was performed by broth microdilution using strains of dermatophyte fungi and yeasts. The modulatory activity assays were performed by the checkerboard technique using ketoconazole as standard. Chromatographic analysis associated with mass spectrometry showed the main constituents of E. ballotifolium essential oil were β-caryophyllene (23.59%), thymol methyl ether (12.28%), germacrene D (6.56%) and bicyclogermacrene (6.47%). The brine shrimp lethality assay demonstrated potential biological activity. The essential oil showed better antioxidant action by the β-carotene/linoleic acid assay, with IC50 value of 19.47 µg/mL for essential oil, 11.32 µg/mL for thymol and 22.83 µg/mL for carvacrol, used as test standards. The broth microdilution test demonstrated that the essential oil inhibited fungal growth of all Trichophyton rubrum strains. In the modulation activity assay against strains of Trichophyton rubrum, there was synergism of essential oil on the strains of dermatophyte fungi when combined with ketoconazole. Key words: Compositae, Lourteigia ballotaefolia, Trichophyton rubrum, antioxidant activity, antimicrobial activity.
How expanded ionospheres of Hot Jupiters can prevent escape of radio emission generated by the cyclotron maser instability

We present a study of plasma conditions in the atmospheres of the Hot Jupiters HD 209458b and HD 189733b and for an HD 209458b like planet at orbit locations between 0.2 and 1 au around a Sun-like star. We discuss how these conditions influence the radio emission we expect from their magnetospheres. We find that the environmental conditions are such that the cyclotron maser instability (CMI), the process responsible for the generation of radio waves at magnetic planets in the Solar system, most likely will not operate at Hot Jupiters. Hydrodynamically expanding atmospheres possess extended ionospheres whose plasma densities within the magnetosphere are so large that the plasma frequency is much higher than the cyclotron frequency, which contradicts the condition for the production of radio emission and prevents the escape of radio waves from close-in exoplanets at distances <0.05 au from a Sun-like host star. The upper atmosphere structure of gas giants around stars similar to the Sun changes between 0.2 and 0.5 au from the hydrodynamic to a hydrostatic regime, and this results in conditions similar to Solar system planets with a region of depleted plasma between the exobase and the magnetopause, where the plasma frequency can be lower than the cyclotron frequency. In such an environment, a beam of highly energetic electrons accelerated along the field lines towards the planet can produce radio emission. However, even if the CMI could operate, the extended ionospheres of Hot Jupiters are too dense to allow the radio emission to escape from the planets.
CROSS DOMAIN COLLABORATIVE FILTERING RECOMMENDER USING PROBABILISTIC MATRIX FACTORIZATION

: Recommender systems (RS) are targeted towards users who lack sufficient experience to evaluate the overwhelming number of alternative examples that a system may offer. Collaborative Filtering RS is one of the approach that provide recommendations without taking into account the contents of the items being recommended however, they face several challenges such as cold start, data sparsity, low confidence etc. Of late there has been considerable interest in Cross Domain RS, where we exploit knowledge from auxiliary domains which contains additional user preference data to improve recommendation on target domains. This paper, focus on Probabilistic Matrix Factorization (PMF) model in Cross Domain Recommender (CDR) that outperforms on other model based Collaborative Filtering recommenders. Experiments are conducted on benchmark datasets shown significant improvement in the quality of the CDR over various test sets
Influence of the adult eyes on circadian and lunar rhythms in Platynereis dumerilii

Untersuchung des Einflusses der Adultaugen auf die lunare und circadiane Rhythmik in Platynereis dumerilii. Mittels UV-Laser-Ablation wurden die cerebralen Adultaugen zerstort und mittels qPCR die Genexpression orthologer "clock" gene uber 24 Stunden gemessen. Durch dieses molekulare Auslesen der circadianen clock in Platynereis dumerilli wurden die blinde Tiere auf ihre Anpassungsfahigkeit auf einen exakt invertieren Tag/Nacht Rhythmus getestet. Die Entdeckung neuer rhabdomerer Ocelli in Platynereis dumerilii lasst eine Rolle dieser im circadianem entrainment plausibel erscheinen.
Loss Prediction and Thermal Analysis of Surface-Mounted Brushless AC PM Machines for Electric Vehicle Application Considering Driving Duty Cycle

This paper presents a computationally efficient loss prediction procedure and thermal analysis of surface-mounted brushless AC permanent magnet (PM) machine considering the UDDS driving duty cycle by using a lumped parameters’ thermal model. The accurate prediction of loss and its variation with load are essential for thermal analysis. Employing finite element analysis (FEA) to determine loss at every load point would be computationally intensive. Here, the finite element analysis and/or experiment based computationally efficient winding copper and iron loss and permanent magnet (PM) power loss models are employed to calculate the electromagnetic loss at every operation point, respectively. Then, the lumped parameter thermal method is used to analyse the thermal behaviour of the driving PM machine. Experiments have been carried out to measure the temperature distribution in a motor prototype. The calculation and experiment results are compared and discussed.
EMPLOYING ECOLOGICAL KNOWLEDGE DURING FORAGING ACTIVITY: PERCEPTION OF THE LANDFORM AMONG THE GǀUI And GǁANA

The present study focuses on the Gǀui and Gǁana, two neighbouring groups among the San people, who are indigenous to the central region of the Kalahari Desert. In a region of scant rainfall that varies greatly by location and year, the Gǀui/Gǁana developed a vast body of ecological knowledge that allowed them to acquire ample bush foods by moving frequently and flexibly within their immense living area, now encompassed by the Central Kalahari Game Reserve (CKGR). However, since the implementation of Botswana’s development program in the 1970s, which encouraged permanent settlement in villages, the lifestyle of the Gǀui/Gǁana has been altered. By 1997, most CKGR residents had moved to a new settlement founded outside the reserve. I examined how the Gǀui/Gǁana applied their environmental knowledge in this new geographical setting. Given the lack of knowledge of landmarks, the scarcity of traditional foods and the promotion of other subsistence activities, their foraging activities appeared to have declined. However, several Gǀui/Gǁana people remained eager to form foraging excursions. These hunters began accumulating knowledge of trees as landmarks, as they had in their previous living area. They also used the trail of Tswana merchants as a frame of reference to ascertain their relative location. The use of the trail is analogous to the Gǀui/Gǁana’s use of ǀqāā (a dry valley)—an important landform for wayfinding in their previous living area. The analysis of conversations recorded during foraging excursions indicates that the Gǀui/Gǁana activate their keen sense of the environment through their distinctive use of utterances, gestures, and other signs. This sense is necessary to use both ǀqāā and the Tswana merchant trail as frames of reference in the relatively flat terrain of the Kalahari. Moreover, this sense has motivated the Gǀui/Gǁana to transform a new geographical setting into their personal
Self-Body Recognition and its Impairment

Self-body recognition is the ability to recognize one’s body parts as one’s own. This ability is impaired in some neuropsychiatric patients. The present chapter reviews symptoms that demonstrate impaired self-body recognition. Several studies have repeatedly shown that the parietal lobe plays an important role in self-body recognition. In particular, the superior parietal lobe is involved in maintaining shortterm memory about the self-body image that produces the sense of ownership of one’s body. The right inferior parietal lobule is crucial for detecting discrepancies among multiple afferent sensory inputs, such as the proprioceptive and visual inputs of the body. The authors suggest that temporal consistency among multisensory feedback inputs is important for self-body recognition, which is most likely integrated in the parietal lobe. DOI: 10.4018/978-1-4666-2113-8.ch016
Web-based Autonomous Learning in the Chinese EFL Setting

The Chinese Ministry of Education promulgated College English Curriculum Requirements in 2007, according to which we should not only cultivate the college students’ comprehensive qualities but also develop their autonomous learning ability. In the meantime, a Computer- and Classroom-Based College English Teaching Model, which was supposed to be an effective way of developing autonomous learning ability, was also put forward. For this reason, the present article explored whether a web-based autonomous learning setting could improve the college students’ overall English performance more effectively than the traditional English teaching setting. After two school years’ experiment, a t-test was made to compare the scores of Band 4 College English Test between the control group and the experimental group. Questionnaires were also conducted to investigate the experimental group’s attitude toward web-based autonomous learning and the expected roles of an English teacher in such a learning setting. The t-test result indicated that the experimental group outperformed the control group in the Band 4 College English Test. Questionnaires showed that more than three fourths of the participants in the experimental group were satisfied with the web-based autonomous learning setting. As for the roles of an English teacher, they were expected to be counselors, facilitators and motivators first and foremost.
Environment protection: The current challenge in radioecology

Radioecology, a multifaceted scientific discipline which addresses environmental issues relevant to radioprotection, has for a long time been focused on environmental transfers through the environment to feed the needs of human radioprotection. This quite anthropocentric initial scope is now moving to a more ecocentric view capable of assessing ecological risk mediated by ionising radiation. The central issue consists in reaching an ability to understand the effects of radiation on the environment components, from individual organisms up to populations of species and ecosystems, together with their interaction with the abiotic compartments. Dominated by operational goals, the system of radiological protection of the environment which is under development emphasises a concept based upon reference organisms supported by traditional toxicological data on individual organisms. Whilst there are immediate advantages to this approach (pragmatism, consistency with other approaches in use for man and biota), there are also clear limitations which need to be acknowledged and further considered. The most important probably is to rely on effects data gathered almost exclusively for individual organisms to meet protection goals which are usually set at population and ecosystem levels. Overcoming this limitation leads to scientific and methodological approaches featuring the ecosystem concept.
Optimal Sensing and Efficient Power Allocation in Cognitive Radio by Using Cluster Heads

Sensing a vacant spectrum in a cognitive network using cognitive radio is a critical task. When there are a number of secondary users in network, sensing of the spectrum is done by each and every individual node or secondary user in the network to check for the existence of primary users to detect the availability of free spectrum or holes in the spectrum to carry out its own transmission or in other words to use the available free space in the spectrum to uplink to the base station. Instead of spectrum sensing by individual secondary users, a cluster head can be appointed on behalf of them, which are secondary users themselves and will be assigned the additional responsibility of spectrum sensing along with its own transmission. The selection of this cluster head follows an energy efficient algorithm in this case we are using priority scheduling to predict the node life time based on its data rate available battery backup of the node. This method will be tested in different fading channel environment; the dynamic power load balancing improves the lifetime of node without overloading a single node for sensing which means it splits the sensing task to a higher power secondary node. The expected results will exhibit reduced.
Black Holes with Anisotropic Fluid in Lyra Scalar-Tensor Theory

In this paper, we investigate distribution of anisotropic fluid which is a resource of black holes in regard to Lyra scalar-tensor theory. As part of the theory, we obtain field equations of spherically symmetric space-time with anisotropic fluid. By using field equations, we suggest distribution of anisotropic fluid, responsible for space-time geometries such as Schwarzschild, Reissner-Nordstrom, Minkowski type, de Sitter type, Anti-de Sitter type, BTZ and charged BTZ black holes. Finally, we discuss obtained pressures and density of the fluid for different values of arbitrary constants, geometrically and physically.