Miracle-dz/UniFAR-FTUs huggingface dataset:
Message Discrepancy and Persuasion 3 c

Szamrej, J., Nowak, A. , & Latane, B. (1992, July). Self-organizing allitudinal structures in society: Visual display of dynamic social processes. Poster presented at the XXV International Congress of Psychology, Brussels. WaJdrop, M. (1992). Complexity: The emerging science at the edge of order and chaos. New York: Simon & Schuster. Wolfram, S. (1986). Theory and applications of cellular automata. Singapore: World Scientific. Ziman, J.M. (1979). Models of disorder. Cambridge, England: Cambridge University Press. Zipf, O.K. (1949). Human behavior and the principle of least effort. New York: Hafner. Message Discrepancy and Persuasion 3 c.col.,J
Managing the Complexity through New Forms of Financial Reporting: A Multiple Case Study on Italian Public Museums

During recent years, an increasing number of studies have started to discuss the introduction of new form of reports in public administration. Furthermore, the attention paid by academics has been favoured by the introduction of a new form of regulation by policy makers. Specifically, a large part of these studies has regarded the heritage sector due to its high degree of complexity. The attention paid to the heritage sector has been driven by the existence of asymmetries between the value of cultural assets and the profitability of institutions. According to this evidence, the aim of this paper is to evaluate the effectiveness of the Italian Integrated Economic Report (IER). Our research highlights that the adoption of managerial reports, such as the IER, could provide useful insights for policy makers in order to invest their financial resources in a more effective way.
The Effectiveness of the Psychological Intervention on Alcohol Dependents quality of life

Abstract :Alcoholism is a complex illness involving psychological, medical, social, cultural and religious sphere of influence, now is a fast growing public health problem in India.In the present study an attempt has been made To see the effectiveness of the psychological intervention on alcohol dependents quality of life . This pre-test and posttest study include 42 participants(alcohol dependents) age range 25-35 were screened on Alcohol Use Disorder Identification Test and their overall quality of life were assessed on WHOQOL‐BREF. After that 21 each in the experimental and control group were selected randomly and statistical analysis ancova was applied. Finding indicated the significant improvement on the alcohol dependence usage of the participants and overall quality of life of the experimental group than the control group after the intervention.
5 Multipath : Narrowband Channel 5 . 1

Now that some of the basic aspects about the multipath channel have been discussed in the previous chapter, here other relevant issues are dealt with. Different alternatives to the multiple point-scatterer model used in Chapter 4 are also presented. In the previous chapter, we did not pay sufficient attention to the amplitudes of the various rays. Here, this point is considered with care so that, when a given normalization criterion is used, the simulated results will produce accurate levels, so that actual absolute values can be obtained after putting back the normalization value. This is very important in link budgets since, at the end of the day, we will be interested in assessing the statistics of the carrier-to-noise ratio (CNR) or the energy per bit-to-noise spectral density ratio (Eb/N0) for calculating system performance measures such as the bit error rate (BER), word error rate (WER), packet error rate (PER), outage duration, and other relevant quality parameters. Similarly, absolute interference levels and their variability, must be properly characterized so that the calculated carrier-to-interference ratio (CIR) statistics are correct. Here, signal normalization will be performed with respect to the free space (FS) level. Thus, a voltage or field strength of one will represent the normalization value. In logarithmic units, this level will correspond to zero dB. Of course, other normalization criteria may be chosen, e.g., with respect to the local average power.
Pose estimation of daily containers for a life-support robot

Caring for people who are elderly is now a global challenge given the shortage of nursing and healthcare providers. This makes life-support robots that could assist people to live independently highly significant. A frequent task during life support is the fetching of daily containers, which requires accurate six-dimensional pose estimation. In this paper, we develop a pipeline that is capable of providing such estimation. First, transfer learning is used to retrain an object-detection model based on a convolutional neural network to produce accurate rectangular masks. After extracting object clouds based on these masks, the iterative closest point algorithm is used to perform point-cloud registration, resulting finally in pose estimation. Several approaches are introduced to increase the registration accuracy and stability by providing adequate initial alignment and suitable model clouds considering both self-occlusions and partial occlusions. Through experiments involving actual daily scenarios, the effectiveness and accuracy of the proposed pipeline are verified.
Local Cuisine Promotion: Case Study Perspectives from Key Tourism Stakeholders in Botswana

Local food and beverages Cuisine tourism Tourism promotion Challenges & mitigation This study attempted to address a relatively neglected tourism resource in Botswana; Setswana cuisine. By conducting interviews with key informants from tourism development stakeholders such as Botswana Tourism Organisation, Botswana Craft Marketing and Gaborone Sun Hotel, Casino and Conference Centre, this study identified seswaa (pound boiled beef) and beef based products such as biltong, as resources with potential for large scale tourism use. However challenges with commodity supply, the language barrier and a low market interest inter alia, were perceived as waning the efforts of promoting Setswana cuisine. Regular commodity supply, increased education and awareness at domestic level and the introduction of more local eatery places and cultural champions were perceived as measures that could ameliorate some of the challenges associated with the tourism promotion of Setswana cuisine.
BikeApp-Detecting Cyclists Activity and Location using Bluetooth Low Energy Technology

In urban environments, cycling may help to solve traffic delays, interruptions and parking, while at the same time being a cleaner and healthier mean of urban transportation. Several approaches are being taken to increase cycling in urban areas. One such approach is taking an advantage of the availability of smartphones and developing applications that somehow improve and reward the cycling activity. To promote and motivate cycling in cities we propose BikeApp, a cycle rewarding smartphone application. BikeApp detects when the user starts cycling and makes him eligible for rewards that can be claimed at the shops. When the user gets close to or enters a shop, BikeApp detects it and allows the user to easily claim the benefit. The implementation focuses on cycling and location detection mechanisms, and its integration within the application. Both are implemented using Bluetooth Low Energy (BLE) technology. Our BikeApp application, implemented targeting the iOS platform, can accurately detect the cycling activity using a BLE bicycle-mounted sensor and determine the shop the user enters using BLE location beacons. The location detection shows to be effective even in worst-case scenarios, with location beacons located in side to side shops. We also tested BikeApp in terms of its power consumption, and there is no significant overhead introduced with the BLE communication.
Why Do U.S. CEOs Pledge Their Own Company's Stock?

Between 2007 and 2016, 7.6% of publicly listed U.S. firms disclosed that their CEOs had pledged company stock as collateral for a loan. On average, CEOs pledge 38% of their shares. The mean loan value is an economically sizeable $65 million. CEOs use the funds to either double down (6.0%), hedge their ownership (3.5%), or to obtain liquidity while maintaining ownership (90.5%). My event study results reveal that stock market participants view pledging as value-enhancing, but perceive significant pledging as value-destroying. Similarly, I find no evidence of its negative shareholder value consequences, except for CEOs who engage in significant pledging.
Optimal Currency Exposure Under Risk and Ambiguity Aversion

This paper addresses the choice of optimal currency exposure for a risk and ambiguity averse international investor. Robust mean-variance preferences, explicitly capturing an investor’s dislike for model uncertainty, are used in order to derive the model-free optimal currency exposure in the presence of both risk and ambiguity aversion. We show that the sample efficient currency demand can be expressed as a vector of generalized ridge regression coefficients of fully hedged portfolio returns on the excess currency returns. Moreover, the underlying model uncertainty corresponds to the penalty term in the regression. The empirical analysis of the derived currency overlay strategy employs the foreign exchange, stock, and bond returns over the period from 1999 to 2018. We find that our proposed hedging strategy leads to significant improvements of the portfolio performance and examine the effect of model uncertainty on optimal currency allocations.
Title: Magnetic resonance characterisation of coupled gas and particle dynamics in a bubbling fluidized bed

Relative flow between granular material and gas can create phenomena in which particles behave like a liquid with bubbles rising through them. In this paper, magnetic resonance imaging (MRI) is used to measure the velocities of the gas and solid phases in a bubbling fluidized bed. Comparison with theory shows that the average velocity of gas through the interstices between particles is predicted correctly by classic analytical theory. Experiments were also used to validate predictions from computer simulations of gas and solid motion. The experiments show a wide distribution of gas velocities in both bubbling and emulsion regions, providing a new direction for computational and analytical theory.
The Therapeutic Effect of Nordic Walking on Freezing of Gait in Parkinson's Disease: A Pilot Study

Introduction. The effectiveness of the currently utilized therapies for FoG is limited. Several studies demonstrated a beneficial impact of Nordic walking (NW) on several gait parameters in Parkinson's disease, but only one paper reported reduction of freezing. Research Question. In the present study, the question is whether NW is an effective therapeutic intervention in FoG. Methods Twenty PD subjects trained NW for 12 weeks, with a frequency of twice per week. Each session lasted about 60 minutes. Twenty patients in the control group did not use any form of physiotherapy (no-intervention group). Freezing of Gait Questionnaire (FOGQ), the Timed Up and Go (TUG) test, and the Provocative Test for Freezing and Motor Blocks (PTFMB) were performed at baseline, immediately after the end of NW program, and three months later. Results The results of FOGQ, TUG, and total PTFMB revealed significant improvement after completing the exercise program, and this effect persisted at follow-up. The results of the PTFMB subtests showed a different effect of NW on particular subtypes of FoG. Start hesitation, sudden transient blocks that interrupt gait, and blocks on turning improved considerably, while motor blocks, when walking through narrow space and on reaching the target, did not respond to NW training. Significance. The results show, for the first time, that FoG during turning and step initiation, two most common forms of this gait disorder, has been significantly reduced by NW training. Different responses of particular subtypes of FoG to NW probably reflect their different pathophysiologies. Conclusions The present study showed that NW training had a beneficial effect on FOG in PD and that the achieved improvement is long-lasting. Future research should clarify whether the observed improvement limited to FoG triggered by only some circumstances reflects different pathomechanisms of FoG subtypes.
Applications in Security and Evasions in Machine Learning: A Survey

In recent years, machine learning (ML) has become an important part to yield security and privacy in various applications. ML is used to address serious issues such as real-time attack detection, data leakage vulnerability assessments and many more. ML extensively supports the demanding requirements of the current scenario of security and privacy across a range of areas such as real-time decision-making, big data processing, reduced cycle time for learning, cost-efficiency and error-free processing. Therefore, in this paper, we review the state of the art approaches where ML is applicable more effectively to fulfill current real-world requirements in security. We examine different security applications’ perspectives where ML models play an essential role and compare, with different possible dimensions, their accuracy results. By analyzing ML algorithms in security application it provides a blueprint for an interdisciplinary research area. Even with the use of current sophisticated technology and tools, attackers can evade the ML models by committing adversarial attacks. Therefore, requirements rise to assess the vulnerability in the ML models to cope up with the adversarial attacks at the time of development. Accordingly, as a supplement to this point, we also analyze the different types of adversarial attacks on the ML models. To give proper visualization of security properties, we have represented the threat model and defense strategies against adversarial attack methods. Moreover, we illustrate the adversarial attacks based on the attackers’ knowledge about the model and addressed the point of the model at which possible attacks may be committed. Finally, we also investigate different types of properties of the adversarial attacks.
Fracture Permeability and Saturation Effects on the Seismic Attributes of Hydrothermally Altered Rocks from a Philippine Geothermal Field

Geophysical methods, particularly seismic attribute analysis, are seeing increased usage in studying geothermal resources in order to maximize extraction potential and minimize risks. However, to better understand deep processes it is necessary to calibrate surface seismic data to develop new models. Here, we present a series of controlled laboratory experiments where key rock physics data such as fracture network density and permeability are directly measured as a function of simulated depth. We use a suite of fresh and hydrothermally altered rocks from a Philippine geothermal field (Palinpinon or Southern Negros Geothermal Project) which are deformed using a conventional triaxial cell fitted with sensors for microseismicity, fluid pressure and fluid flow. Samples of 100mm length and 40mm diameter were prepared with small notches and a pair of offset 3mm drill holes such that once fractured, the offset drill holes form an access pathway along the newly generated fault plane. In this way, the formation and evolution of natural fracture and damage zones and resulting permeability can be directly evaluated. The sample assembly was encased in a rubber nitrile jacket to separate the sample from the confining fluid (oil) and fitted with up to 18 ports for Acoustic Emission sensors to monitor microseismicity. This setup allows an experiment to gather seismic data in different ray paths and key attributes (static and dynamic moduli) while fracture permeability develops. Our initial results reveal a significant reduction in all seismic attributes (P/S-wave velocities and elastic moduli) after fracture development, except for Poisson’s ratio, which shows the opposite trend. Further, the reduction in fracture permeability coincides with decreasing Poisson’s ratio and increasing P and S wave velocities, dynamic bulk modulus, Lame’s first coefficient and Young’s modulus. Experiments conducted at elevated temperatures (175 C) show a ‘swarm’ of Acoustic Emission events at the moment of, and shortly after, pore fluid decompression. We postulate that this is due to rapid fluid movement and phase changes from liquid to gas within the damage zone. We correlate the resulting data trends to present new links between fracture permeability and seismic data in the case of the altered andesite of the Southern Negros Geothermal Project, thus allowing for better interpretations of surface seismic models of volcanic geothermal fields in the Philippines.
A Survey on Multimedia Analytics using Big Data Analytics

Multimedia is the only source to the world to present any concept in an apt format and can inject easily to any user to understand the concept easily. Basically multimedia provides informationrich data using which we can process and get information about anything easily. Multimedia includes images, videos and audio. There are several papers which explains the process of extracting natural language (NL) from that rich data, so that it will be easier to the user to search his/her required data easily. In this paper we are going to discuss about how the manual search can be replaced with automated search with multimedia analytics in big data, so that the user can use that processed data easily and can predict the future requirement. Topic –Oriented Multimedia Summarization (TOMS) is the novel approach in which there will be some challenges which are needed to resolve the low-level semantic gap between the objects.
Atmospheric Circulation of Tidally Locked Gas Giants with Increasing Rotation and Implications for White Dwarf–Brown Dwarf Systems

Tidally locked gas giants, which exhibit a novel regime of day–night thermal forcing and extreme stellar irradiation, are typically in several-day orbits, implying a modest role for rotation in the atmospheric circulation. Nevertheless, there exist a class of gas-giant, highly irradiated objects—brown dwarfs orbiting white dwarfs in extremely tight orbits—whose orbital and hence rotation periods are as short as 1–2 hr. Phase curves and other observations have already been obtained for this class of objects, raising fundamental questions about the role of an increasing planetary rotation rate in controlling the circulation. So far, most modeling studies have investigated rotation periods exceeding a day, as appropriate for typical hot Jupiters. In this work, we investigate atmospheric circulation of tidally locked atmospheres with decreasing rotation periods (increasing rotation rate) down to 2.5 hr. With a decreasing rotation period, we show that the width of the equatorial eastward jet decreases, consistent with the narrowing of the equatorial waveguide due to a decrease of the equatorial deformation radius. The eastward-shifted equatorial hot-spot offset decreases accordingly, and the off-equatorial westward-shifted hot areas become increasingly distinctive. At high latitudes, winds become weaker and more rotationally dominated. The day–night temperature contrast becomes larger due to the stronger influence of rotation. Our simulated atmospheres exhibit variability, presumably caused by instabilities and wave interactions. Unlike typical hot Jupiter models, the thermal phase curves of rapidly rotating models show a near alignment of peak flux to secondary eclipse. This result helps to explain why, unlike hot Jupiters, brown dwarfs closely orbiting white dwarfs tend to exhibit IR flux peaks nearly aligned with secondary eclipse. Our results have important implications for understanding fast-rotating, tidally locked atmospheres.
Fast tensorial JADE

We propose a novel method for tensorial‐independent component analysis. Our approach is based on TJADE and k‐JADE, two recently proposed generalizations of the classical JADE algorithm. Our novel method achieves the consistency and the limiting distribution of TJADE under mild assumptions and at the same time offers notable improvement in computational speed. Detailed mathematical proofs of the statistical properties of our method are given and, as a special case, a conjecture on the properties of k‐JADE is resolved. Simulations and timing comparisons demonstrate remarkable gain in speed. Moreover, the desired efficiency is obtained approximately for finite samples. The method is applied successfully to large‐scale video data, for which neither TJADE nor k‐JADE is feasible. Finally, an experimental procedure is proposed to select the values of a set of tuning parameters. Supplementary material including the R‐code for running the examples and the proofs of the theoretical results is available online.
Passively parallel regularized stokeslets

Stokes flow, discussed by G.G. Stokes in 1851, describes many microscopic biological flow phenomena, including cilia-driven transport and flagellar motility; the need to quantify and understand these flows has motivated decades of mathematical and computational research. Regularized stokeslet methods, which have been used and refined over the past 20 years, offer significant advantages in simplicity of implementation, with a recent modification based on nearest-neighbour interpolation providing significant improvements in efficiency and accuracy. Moreover this method can be implemented with the majority of the computation taking place through built-in linear algebra, entailing that state-of-the-art hardware and software developments in the latter, in particular multicore and GPU computing, can be exploited through minimal modifications (‘passive parallelism’) to existing Matlab computer code. Hence, and with widely available GPU hardware, significant improvements in the efficiency of the regularized stokeslet method can be obtained. The approach is demonstrated through computational experiments on three model biological flows: undulatory propulsion of multiple Caenorhabditis elegans, simulation of progression and transport by multiple sperm in a geometrically confined region, and left–right symmetry breaking particle transport in the ventral node of the mouse embryo. In general an order-of-magnitude improvement in efficiency is observed. This development further widens the complexity of biological flow systems that are accessible without the need for extensive code development or specialist facilities. This article is part of the theme issue ‘Stokes at 200 (part 2)’.
Two New Normals Forms for Polynomial Endomorphisms of the Projective Line with Applications to Postcritically Finite Maps

We explore two normal forms for polynomial endomorphisms of the projective line. The first is a normal form for degree 3 polynomials in terms of the multipliers of the fixed points. This normal form allows for an enumeration of all $K$-rational conjugacy classes in the moduli space of degree 3 polynomials. The second normal form is for polynomials of arbitrary degree with $n$ critical points. As an application, we give an algebraic proof of Thurston transversality in the periodic case for bicritical polynomials of any degree.