Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on multi-phases collaboration method for RF-sensor networks

In this paper we study the problem of collaboration in RF-Sensor networks, comprised of a large number of very small and low cost nodes, capable of sensing, communicating and computing. The Multi-phases Collaboration of such nodes may lead to the accomplishment of large sensing tasks, having useful applications in practice. First, we research two collaboration methods, one is no collaboration and the other is local collaboration. We show that local collaboration achieves logarithmic growth rate for the transport traffic with the network size whereas the schedule length growth rate remains linear. Next, we analyze a two-phase collaboration method which localizes collaboration within regions of the network in an attempt to assess the performance of methods bounded by the two aforementioned extremes. Finally, we extend two-phase collaboration to a multi-phase collaboration method where the number of phases depends on the number of nodes and the size of the collaboration set.
Longitudinal analysis of prices of real estate rental.

Purpose The aim of this study was to analyze the real estate market (residential and commercial) from Mariana's city Minas Gerais State. The motivation for choosing this city lies in its importance to the economy of the Minas Gerais State. Design/methodology/approach We conduct a statistical analysis adopting the longitudinal models (fixed and random effects) in 147 properties. The collection of data covered the commercial and residential real estate prices over a period of ten years. Findings The statistical modeling results showed a presence of random variations higher than the typical prices considered in the real estate market. Estimates have also suggested that commercial real estate prices are on average higher than residential ones. Research limitations/implications The analysis could cover real estate prices (residential and commercial) at different times of analysis, but due to the limited expansion of the database, we are unable to conduct more comprehensive statistical analyzes. Originality/value Until this present date, no other research of this nature has been detected, at least in the Brazilian market, which analyzed the real estate market price dynamics by the segmentation as proposed in this study. We believe that based on this work, other researchers will develop similar studies seeking to describe the dynamics of real estate market prices in others important Brazilian' cities. Such information may be relevant to more effective urban planning and delimitation of more efficient public housing policies.
The relationship between involvement, destination emotions and place attachment in the Porto wine cellars

This paper aims to measure the role of involvement, destination emotions and place attachment in the behavioural intentions of wine tourists when visiting Porto wine cellars. ,An interceptive survey was conducted with wine tourists during their visits to four Porto wine cellars. A convenience sample of 918 international visitors was obtained. A structural equation model using partial least squares analysis was used to test the hypothesis and the validity of the constructs and model. ,The structural model results indicated that wine tourists’ personal involvement and their wine involvement have a significant and direct influence on destination emotions and place attachment in Porto wine cellars during the visits, which determines their future behavioural intentions. ,The generalizability of the results may be limited owing to the sample and the data collection method and the short time frame of the data gathering. ,There is a growing potential for researchers and managers to achieve benefits from the proposed model that will support the efforts for wine tourism theory and practice, such as brand positioning strategies and formulation of sharper marketing strategies. ,This is the first study to demonstrate the combined use of personal and wine involvement on destination emotions along with place attachment in a wine tourist behaviour context. This approach extends the scope into a wine tourism context because the combination of these three constructs has never been held in the area of wine tourism destinations.
The Consequence of Particle Crushing in Engineering Properties of Granular Materials

This paper presents experimental investigation for particles breakage for natural sand. The particle breakage was induced by subjecting the sample to one dimensional compression. Grain size analyses were performed before and after induced breakage. Thereafter, the sand shear strength parameters were assessed using direct shear box tests and the coefficient of permeability was assessed using constant head permeameter. Examining the obtained results revealed that the amount of breakage due to one dimensional compression was of order higher than the amount occurring during direct shear test. Peak shear strength parameters decreased with the particles breakage increasing. Moreover, dilation angle of shear strength pronouncedly decreases with the amount of particles breakage increasing. Crushing has obvious effect on the evaluated coefficient of permeability.
Resistance to curare, upper motor neuron dysfunction, and antiepileptic treatment.

1. Albin MS, Ritter RR, Pruett CE, Kalff K. Venous air embolism during lumbar laminectomy in the prone position: report of three cases. Anesth Analg 1991;73:34&9. 2. Anderton JM. The prone position for the surgical patient: a historical review of the principles and hazards. Br J Anaesth 1991;6745243. 3. Distefano VJ, Klein KS, Nixon JE, Andrews TE. Intra-operative analysis of the effects of position and body habitus on surgery of the low back a preliminary report. Clin Orthop Related Res 1974;99:516.
Characterization of the Influence of some Cyclodextrins on the Stratum Corneum from the Hairless Mouse

Differential scanning calorimetry (DSC), Fourier‐transform infrared (FTIR) spectroscopy and transmission electron microscopy (TEM) have been used to determine the influence of β‐cyclodextrin (β‐CyD), hydroxypropyl‐β‐CyD (HP‐β‐CyD) and γ‐CyD on the structural properties of the stratum corneum from the hairless mouse.
The linear noise approximation for molecular fluctuations within cells

We study the applicability of Van Kampen's linear noise approximation to the calculation of fluctuations in cells due to small number of molecules for simple genetic systems not previously considered. These systems include dimer formation and feedback. We explain why the linear noise approximation can be surprisingly effective, but also illustrate how it fails in a simple example when a protein probability distribution is not purely Gaussian.
Enhancement of bright squeezing in the second harmonic by internally seeding the /spl chi//sup (2)/ interaction

Second-harmonic generation (SHG) and parametric amplification result from the same physical configuration of the /spl chi//sup (2)/ process, but with different input conditions for the interacting fundamental and harmonic waves. In the former, the input harmonic field is usually in the vacuum state whereas, in the latter, the fundamental is in the vacuum state (or a small-amplitude coherent state). A different set of input conditions can lead to a nonlinear phase shift in both the fundamental and the harmonic waves, while not affecting their relative magnitudes. In conjunction with SHG, we show that this configuration can be used to generate a bright (high-intensity) amplitude-squeezed (sub-Poissonian) field at the harmonic frequency. Large amounts of squeezing are possible. An integrated device with the above characteristics can be fabricated by utilizing the recently developed quasi-phase-matching techniques.
Theoretical Analysis of Wave Action with Perforated Caissons on Porous Seabed

The analytical solutions of wave induced horizontal and vertical forces on perforated caissons resting on porous elastic seabed have been established. The solution in the seabed is divided into a symmetric part and an anti-symmetric part. A numerical experiment has been carried out to examine the effects on horizontal forces, vertical forces and phase lags between them due to the relative wave chamber width (ratio of the width of wave chamber and perforated caisson), the front plate porosity and the seabed combined factor. The numerical results show that the vertical forces can reach minimum with suitable relative wave chamber width. The phase lags of horizontal and vertical forces increase with the increase of seabed combined factor and have peaks at the range of wave number kd = 0.5~1.0.
Assessing anti-predatory chemical defences among ten eastern Mediterranean sponges

The palatability of organic chemical extracts from ten of the most abundant sponge species along the Israeli (shallow) coast, eastern Mediterranean Sea (Axinella sp., Axinella polypoides, Chondrilla nucula, Ircinia sp., Psammocinia sp. 1, Psammocinia sp. 2, Psammocinia sp. 3, Psammocinia sp. 4, Sarcotragus sp. and Tetilla sp.) was tested. To examine the generality of the phenomenon, it was evaluated with two types of potential predators, a fish and a gastropod. It was determined that the extracts of only two species (Psammocinia sp. 1 and Psammocinia sp. 3) deterred feeding of the omnivorous ornate Mediterranean wrasse Thalassoma pavo. On the other hand, extracts of five other sponges (Chondrilla nucula, Axinella sp., Ircinia sp., Sarcotragus sp. and Psammocinia sp. 2) were non-palatable to the omnivorous gastropod Strombus persicus (the extracts that deterred the fish did not deter the gastropod and vice versa). We also determined the capacity of extracts from six Red Sea sponges to deter T. pavo, and compared it with these extracts' effect on the Red Sea wrasse T. klunzingeri. All the extracts that deterred the Red Sea wrasse (from Amphimedon chloros, Crella cyatophora, Negombata magnifica and Theonella swinhoei) were also non-palatable to the Mediterranean wrasse. In addition to these four species, also Diacarnus erythraenus deterred Thalassoma pavo while being palatable to T. klunzingeri, whereas food pellets with extracts of Niphates rowi were eaten by both wrasse species.
Tracking Human Motion in Structured Environments Using a Distributed-Camera System

This paper presents a comprehensive framework for tracking coarse human models from sequences of synchronized monocular grayscale images in multiple camera coordinates. It demonstrates the feasibility of an end-to-end person tracking system using a unique combination of motion analysis on 3D geometry in different camera coordinates and other existing techniques in motion detection, segmentation, and pattern recognition. The system starts with tracking from a single camera view. When the system predicts that the active camera will no longer have a good view of the subject of interest, tracking will be switched to another camera which provides a better view and requires the least switching to continue tracking. The nonrigidity of the human body is addressed by matching points of the middle line of the human image, spatially and temporally, using Bayesian classification schemes. Multivariate normal distributions are employed to model class-conditional densities of the features for tracking, such as location, intensity, and geometric features. Limited degrees of occlusion are tolerated within the system. Experimental results using a prototype system are presented and the performance of the algorithm is evaluated to demonstrate its feasibility for real time applications.
Collaborative Filtering Recommendation Algorithm Based on label of tourist spots and User Preference

The traditional collaborative filtering recommendation algorithm relies on the user's scoring relation to the item. However, user's behavior data in the filed of tourism industry is sparsely, and the interaction between the data are few. These problems lead to the traditional algorithms are lacking of ability to acquire the users’ preference , and influence the recommendation quality of tourist spots. In this paper, a collaborative filtering recommendation algorithm based on tourist spots labels and user preferences were proposed. By using the label information of the tourist spots, to extract visitors ' interest factors of spots and preferences weights, used the adaptive algorithm of neural network to optimize the users’ preference feature vector, and computed the similarity between users to get the recommended result. The results show that compared with the traditional recommendation method, the method of this paper can ameliorate the accuracy of user similarity relationship and has a great improvement in the recommendation quality of tourist spots.
Integration of Business Model Canvas (BMC) and Quality Function Deployment (QFD) to design product

Under rapidly changing customer requirement and increased competitiveness in marketplace force the company to rethink the way of product development. Since, the company's ability to survival in business depends on providing to respond customer requirements. In order to respond customer requirements, the product development is the key success factor in the modern business. A popular techniques in a product development is a Quality Function Deployment (QFD). This paper presents the analyses and apply the Business Model Canvas (BMC) integrated process model for Quality Function Deployment (QfD).
An empirical investigation of disclosure item of internet financial reporting in Malaysia

This research attempts to investigate the current status on the disclosure item of internet financial reporting (IFR) among listed companies in Bursa Malaysia based on preparers and users perception. Content analyses are used to provide evidence on internet financial reporting practices by 280 listed companies. The issues of the disclosure item of IFR of the companies listed in Bursa Malaysia. According to a comprehensive review, the evaluation of IFR will be separated into two dimensions which are content dimension and presentation dimension. The items of disclosure in the development of the IFR disclosure index are based on the perspective of preparers and users. Based on the research findings, the level of IFR started from 56.43 to 87.14 per cent. The findings also showed that the overall level of IFR listed companies in Bursa Malaysia were considered good. The implications of the research findings and future research have been discussed.
What Do Investors Ask Managers Privately?

Managers extensively interact with investors in private. While recent research finds that investors benefit from these offline interactions, little is known about what information is sought during these events. Using field data of over 1,200 questions asked during private meetings, we characterize the information sought by investors. We show that investors seek to acquire more timely information, more depth and clarity of public news, and feedback on their investment theses. Numerous questions seek information that—if provided by managers—potentially violates Regulation Fair Disclosure (Reg FD). We find that some types of questions asked during meetings are associated with the likelihood of trading and that questions posed privately to managers tend to be more negative in tone than those asked publicly during conference calls. Overall, our investigation illuminates the contents of offline managerial interactions by investigating the information that investors privately seek.
Impact of Social Media Marketing, Price Promotion, and Corporate Social Responsibility on Customer Satisfaction

Customer satisfaction is one of the main topics in marketing that received large attentions from several scholars and practitioners. Satisfied customers tend to be the driving force for brand success and building sustainable competitive advantage; therefore, looking at the antecedents of customer satisfaction is deemed to be very important. This article is designed to examine the effects of social media marketing, price promotion, and corporate social responsibility on customer satisfaction in the fast-food industry. The data were collected using a survey instrument from 293 customers of international fast-food restaurants in east coast Malaysia. To analyze the collected data and reach at conclusions, SPSS and structural equation modeling (AMOS) were utilized. The findings revealed that social media marketing and price promotion have significant effects on customer satisfaction. Moreover, the findings revealed that corporate social responsibility has a significant positive impact on customer satisfaction.
Preventing Informal Urban Development: Through Means of Sustainable Land Use Control

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The Bending Rigidity of Phosphatidylcholine Bilayers: Dependences on Experimental Method, Sample Cell Sealing and Temperature

The bilayer bending rigidities were measured for the same spherical vesicles with two methods, fluctuation mode analysis and electric deformation. In some of the sample cells the glue sealing the cell was in direct contact with the sample, in others the sample was shielded from the glue by a silicone grease. The values of the rigidity, while being lowest and practically equal for the unshielded samples, differed significantly between methods for the shielded ones. We also measured the temperature dependence of the bending rigidity. The dependence of the rigidity on method seems to suggest the existence of a membrane superstructure
BRAND EQUITY: AN INTEGRATED FRAMEWORK

Customer based brand equity has traditionally been largely viewed as comprising brand assets and liabilities relating to the brand, its name and symbol. This stream of research, based in cognitive psychology, has commonly defined brand equity as the incremental value or effect of what is known about the brand on consumer response to the marketing of the brand (e.g. brand prominence, differentiation and associations). Recently, an alternative approach has been proposed by Erdem and Swait (1998), based on signalling theory from information economics. This approach defines brand equity as the value of a brand signal to consumers. This value is created by two mechanisms, reduction of perceived risk in consumption and savings in information acquisition and processing. The purpose of this paper is to integrate the two approaches. Empirical testing was conducted using structural equation modelling, based on data from consumer banking selection decisions. Results provide support for the proposed model.
D-Paxos: Building Hierarchical Replicated State Machine for Cloud Environments

We present a hierarchical replicated state machine (HRSM) and its corresponding consensus protocol D-Paxos for replication across multiple data centers in the cloud. Our H-RSM is based on the idea of parallel processing and aims to improve resource utilization. We detail D-Paxos and theoretically prove that D-Paxos implements an H-RSM. With batching and logical pipelining, D-Paxos efficiently utilizes the idle time caused by high-latency message transmission in a wide-area network and available bandwidth in a local-area network. Experiments show that D-Paxos provides higher throughput and better scalability than other Paxos variants for replication across multiple data centers. To predict the optimal batch sizes when D-Paxos reaches its maximum throughput, an analytical model is developed theoretically and validated experimentally. key words: replication, replicated state machine, consensus protocol, batching, logical pipelining
Identifying violin performers by their expressive trends

Understanding the way performers use expressive resources of a given instrument to communicate with the audience is a challenging problem in the sound and music computing field. Working directly with commercial recordings is a good opportunity for tackling this implicit knowledge and studying well-known performers. The huge amount of information to be analyzed suggests the use of automatic techniques, which have to deal with imprecise analysis and manage the information in a broader perspective. This work presents a new approach, Trend-based modeling, for identifying professional performers in commercial recordings. Concretely, starting from automatically extracted descriptors provided by state-of-the-art tools, our approach performs a qualitative analysis of the detected trends for a given set of melodic patterns. The feasibility of our approach is shown for a dataset of monophonic violin recordings from 23 well-known performers.
Do I really need a risk register

The unavoidable nature of risk means that it is essential to prepare for it. But many organisations even large and sophisticated companies fail to ackowledge the risks that apply to them. Many risks are common to all organisations while some are specific to different categories of organisation. Risk registers are essential to providing a framework for identifying and managing risk.