Miracle-dz/UniFAR-FTUs huggingface dataset:
Theory Of X Ray Diffraction In Crystals

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Setting the Methodological Framework for Accessibility in Geo-Mining Heritage Settings—An Ongoing Study of Iglesiente Area (Sardinia, Italy)

This paper aims to discover why and how accessibility is fundamental to sustainable local development in heritage settings. We discussed the dimensions and variables of accessibility that control the development. Correspondingly, we proposed an interpretative framework for sustainable development planning and management of low urbanized spatial settings and accessibility for the Iglesiente Geo-mining heritage in Sardinia (Italy). The Iglesiente area is affected by a deep post-mining crisis that is reflected in poor socioeconomic conditions and an evident space oriented set of problems (a disorder in landscape matrix, low readability of space, scarce infrastructure and low accessibility). To revert negative trends of space-related problems, the paper proposes a theoretical model acting as an anticipatory landscape planning tool. The model copes with the context-specific problems in combination with theoretical findings. It acts at various scales through the definition of boundaries and variables of the internal and external environment, providing the territorial matrix of equity and cohesion. Furthermore, we argued the limitation and advantages of the model to its implementation capacity for the Geo-mining heritage and low-urbanized spatial settings. The empirical findings from an ongoing project about accessibility to territorial knowledge and services in the Iglesiente area, currently in progress, allow us to test and adjust the methodological framework in the next steps.
Enhancing Dependence Representation of Clinical Variables based on Bayesian Networks to Assist in Thyroid Disease Diagnosis and Treatment

maximum-weighted spanning tree; Abstract. In the past few decades, a large number of data mining algorithms have been proposed to assist in the practical medical diagnosis. This paper proposes a novel algorithm, k-dependence causal forest (KCF) based on Bayesian network. The experiments conducted on the thyroid disease data set suggest the KCF model always has lower 0-1 loss and contains more conditional mutual information, which means the KCF model is suitable to assist in thyroid disease diagnosis and treatment.
Subsampled Multichannel Blind Deconvolution by Sparse Power Factorization

In this technical report, we show that sparse power factorization (SPF) is an effective solution to the subsampled multichannel blind deconvolution (SMBD) problem when the input signal follows a sparse model. SMBD is formulated as the recovery of a sparse rank-one matrix. Unlike the recovery of rank-one matrix or of sparse matrix, when there are multiple priors on the solution simultaneously, SPF outperforms convex relaxation approaches both theoretically and empirically. We confirm that SPF exhibits the same advantage in the context of SMBD.
Improved edge-directed super resolution

Abstract Super resolution is necessary when the resolution of an image is lower than the screen resolution of a digital display device. Usually, interpolation operation is used in the image super-resolution process. However, the existing image interpolation methods suffer blurring problems in edge regions, so it is hard to produce sharp and clear visual effects. In this paper, we propose an improved edge-directed super resolution, which keeps the edges sharp and provides good image quality. We first check whether there is an edge or not and then an interpolation method is selected according to the existence and the direction of an edge. Experimental results demonstrate that good image quality can be achieved.
X-ray detection using MOS and PIN diodes biased in the constant reverse current or voltage modes

This article discusses X-ray detection using MOS and PIN diodes biased in the modes of constant reverse current or voltage, aiming at radiological protection and as pixels for direct digital imaging radiography applications. MOS diodes operating with stationary width of the depletion region at a constant reverse current are proposed for X-ray detection using an Al/SiO2(2.20 nm)/Si-P structure fabricated on 10 Ω. cm substrates. A miniature X-ray system (Mini X model from Amptek) was used to illuminate the diodes, at 2 cm away, inside of an aluminum chamber to protect against the X-ray radiation. As a result, the MOS diodes showed good voltage response as function of the bias voltage of the X-ray tube for flux varying from 0 to around 500 mSv/h. In this case, the MOS voltage response increased from 0 to 0.25 mV for the X-ray bias voltage varying from 0 to 40 kV at a filament current of 50 µA. X-ray detection in a constant reverse voltage mode for the MOS diode was unfeasible due to poor current response superimposed to the background electrical noise. On the other hand, unlike the MOS diode, the PIN diode showed good current response in the constant reverse voltage mode as function of the bias voltage of the X-ray tube for flux varying from 0 to around 500 mSv/h. It was noteworthy that the PIN current response increased proportionally with the bias voltage from and 0 to 40 nA at a reverse biasing of -5 V, which are similar to the results reported in the literature for PIN diodes.
Numerical Modeling of Atomization in Spray Systems

Dispersed multiphase flows refer to dynamic systems comprising two or more phases where at least one phase is in the form of fine particles evolving in and interacting with a surrounding fluid. Spray systems fall into that category. Several technical applications highlight the significance of sprays, one of which is the injection of liquid fuel in propulsion systems, where the spray formation, vaporization and subsequent mixing prior to combusion determine fuel efficiency and the emission of pollutants that are hazardous to human health and nature. Optimization of such systems requires the understanding of spray physics. While theoretical analysis and experiments remain essential methods with regard to the optimization of such systems, the advance in computer performance over the past few decades has made numerical simulation an additional powerful tool to improve spray systems. However, the existence of physical and predictive models is crucial. This thesis is concerned with the physical phenomena that are present in spray systems and the transfer to suitable computational models. In terms of spray physics, the focus is on atomization which refers to the disintegration of liquid structures. Another central aspect of spray modeling is the representation of the particulate phase. The numerical models studied as part of this work are the one-dimensional turbulence model for the breakup of a liquid jet combined with standard Lagrangian methods as well as a family of Eulerian population balance models, the so-called quadrature-based moment methods. Numerical investigations were carried out on a gasoline spray as well as less complex configurations and give many suggestions for future research.
Lectures On Quantum Chromodynamics

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Microsoft Windows 7: Illustrated Complete

Designed to meet the needs of users from a broad range of experience levels, Microsoft Windows 7 ? Illustrated Complete equips you with Windows 7 knowledge using a practical, user-friendly format. This streamlined book gets you up and running with Windows 7 and covers all of the newest Windows 7 features, including HomeGroup, Jump Lists, Libraries, and more!
Network Performance Analysis of Dynamic Routing Protocols for Real Time Application

Routing protocol is taking a vital role in the modern internet era. A routing protocol determines how the routers communicate with each other to forward the packets by taking the optimal path to travel from a source node to a destination node in the network layer. Algorithms that are used for route selection and data structure are the main parts for the network layer. But in this paper we have explored four eminent dynamic routing protocols namely, Routing Information Protocol (RIP), Open Shortest Path First (OSPF) & Enhanced Interior Gateway Routing Protocol (EIGRP) and Interior Gateway Routing Protocol (IGRP) protocols. Evaluation of these routing protocols is performed based on the quantitative metrics such as Delay, FTP, E-mail, HTTP, VoIP and Video Conferencing through the simulated network models. The simulation results are analyzed, with a comparison between these protocols on the effectiveness and performance in network implemented. Results show that EIGRP will be best for delay, E-mail and FTP but for real time applications OSPF and RIP give better results. Keyword: Network OPNET, Routing Protocols, FTP, HTTP, Video conference, Voice
What Constitutes Risk of Future Maltreatment Among Young Mothers? An Examination of Child Protection Investigations in Ontario, Canada

Despite younger maternal age being a risk factor for child welfare involvement, the literature on decision making once young mothers are investigated for child protection concerns is limited. This article examines characteristics and decision making related to investigating workers’ determinations that young children of adolescent and young adult mothers are at risk of future maltreatment. Using a provincially representative data set, this study found that children of young mothers were more likely to be deemed at risk of future maltreatment than those of adult mothers, and this assessment was also related to more intensive child welfare involvement. Among young mothers, a risk determination was strongly associated with maternal mental health concerns and socioeconomic circumstances. Practice and policy shifts should address the need for timely and effective material and emotional supports.
Phase difference technology apply to the sounding of broadband multi-beam bathymetry sonar

The sounding method and accuracy of multi-beam bathymetric sonars are being continuously researched, and many traditional multi-beam bathymetric algorithms have been proposed, such as: the Energy Centre method, the WMT method, the BDI method, etc. Some of these methods have a high precision of sounding in the mirror area, while some have a high precision of sounding in the non- mirror area. If we combine these methods and apply them to high-frequency shallow-water multi-beam sonar, the precision of sounding reaches a satisfactory level. Besides the sounding precision, the sounding resolution (the number of sounding points) is also an important indicator for multi-beam bathymetric sonar. The sounding resolution of a traditional bathymetric algorithm mainly depends on the number of pre-formed beams, which restricts the improvement of sounding resolution. In this paper, differential phase technology will be applied to broadband multi-beam bathymetric sonar, which not only ensures the accuracy of sounding, but also greatly improves the sounding resolution by dozens of times or even a hundred times as compared to a traditional bathymetric algorithm. Hence, more detailed acoustic images can be obtained without increasing the frequency of multi-beam bathymetric sonar. This is possible by using differential phase technology for underwater topography, which is advantageous for small target detection. The paper also analyzes various important factors which affect the differential phase technique, such as additive noise, baseline de-correlation and beam footprint of the seabed. In addition, it also gives the theoretical curve of sounding accuracy changing with the signal pulse width, SNR, grazing angle and other factors. Finally, we find that even under high SNR conditions, differential phase technology is still able to maintain a good sounding performance, even when we reduce the number of received array elements. This lays a good foundation for studying low frequency multi-beam bathymetric sonar.
Theoretical and Implementable Capacity Regions for Multiple-Access with OFDMA

In this paper we exploit a famous result from information theory to compute the capacity region of a frequency- selective multiple-access channel and we describe in some detail how this result translates to an algorithm for adaptive OFDMA (orthogonal frequency division multiple access). The general solution requires the allocation of multiple users per subchannel, which is undesirable for practical implementations. We hence consider the capacity region which can be achieved by standard OFDMA, i.e. with one user per subchannel. Since the correspond- ing algorithm for OFDMA is still complex, we consider a method which constructs a capacity region by computing only the points of maximum sum rate. Finally, we compare the achievable rates for all three regions in a realistic environment. I. I NTRODUCTION AND SYSTEM MODEL
Evaluation of Different Magnet Materials and Skewed Geometries for IPMSM at High Speed

In this paper, an investigation on various permanent magnet materials and rotor geometries for Interior Permanent Magnet Synchronous Motors is presented, to achieve optimal performance both at base speed and in a wide flux-weakening region. The research starts from the updated state of the art, which suggests single V-shape magnets, to obtain a good compromise between performance and industrial interest, and rotor step-skewing. To design, analyze and compare several rotor topologies, two software (FluxMotor and Flux2D) have been used. The results highlight that less performing magnet materials are not convenient, due to the need of greater mass of material to reach the same performance, while a simple three steps skewing, combined with the best choice of rotor geometry, provides a strong reduction of torque ripple, which remains low up to 8000 rpm.
Typifying and Characterizing Suicide and its Dynamics of Progression towards Completion: A Model

Suicide has its own trends and path. An emotional set back may leads to suicide is seemed to happen instantly but it is not true, it takes times to complete . All most all of us have to experience death wishes but never reach to that point when said completed. Very few will reach to that point where assessed. This study has aim to decide the path by which completion occurs. Study has used the various discrete data of various studies freely available on internet. They were analyzed and arranged logically in sequence to set the path and trends. Conclusion: Everyone in their life at least has to wish to die but very few complete it. It progress in certain path as wish further strengthen by idea following celebrate self-harm may repeat or accidentally completed if not further proceeded to take attempt. It may be completed or rest as further are risk of suicide.
Green Growth & Trade Restrictions: Assessing Socio Economic Impacts of Local Content Requirements in Indian Solar Policy

ABSTRACT:The renewable energy policies of many countries have actively endorsed Local/Domestic Content Requirements (LCR/DCR) on the assertion of providing protection to their niche technology markets. However, potential usefulness and legality of local content requirements (LCRs) are regularly contested on the premise of their trade distorting impacts and lower allocative efficiencies. The initial Indian solar policy also provided differentiated incentives for ground mounted grid connected solar deployments using domestically manufactured Crystalline-Silicon (C-Si) panels (DCR) over the imported ones. This study maps socio economic impacts of the two categories of deployment using Input Output (IO) analysis. The methodology introduces solar generation as a new production activity into Indian economy. An independent solar I-O block is constructed and integrated as a new sector in 35x35 national input output table (2011) obtained from world input output databases (WIOD). The analysis involves tracking Inter industry transactions involved in installing a unit of grid connected ground mounted photovoltaic solar power capacity in India. Both solar blocks compile data at purchasers' price for PV module, mounting structure, power conditioning unit, construction and preoperative costs of the power plant. Followed by adjustments for existing fiscal elements like applicable subsidies, VAT, excise duty and incurred transportation costs. The DCR block is differentiated by dissociation of solar panel manufacturing Industry into inputs for manufacturing module, wafer and cells with in the economy while in case of non DCR solar blocks, solar panels feature in the imports column. Direct and indirect impacts in terms of output, employment and income generation are estimated followed by distributive efficiencies of the sectoral wage generation associated with the two categories of deployment. The results reveal that direct and indirect output (GDP generation) of DCR deployments is 24.74 % higher than of open category projects. The DCR projects also produce 36.64 % more economy wide employment when compared to open category projects. Further, distributive efficiencies associated with quality of employment generated favors DCR deployments in India. This study thus provides initial evidence and policy guidance on usefulness of domestic content requirement in promoting regional green growth for the growing solar sector in India.
Creativity for business intelligence

What does business intelligence mean? It seems to us the emotionally coherent use of a skills set in different domains and in different accomplishments for a objectives diversity to conceptualize and pass on to the materially realizable the process of interpreting, analyzing, modifying, and innovating, intentionally extracted business data in order to support decision support systems, generating and sharing knowledge. Understanding that the main attitude that underlies this process is the creativity, we carried out experience with teams of a postgraduate course in Business Intelligence, which underpinned in a process of this nature the conception of a brand now expanding and recognized, of which we want to bear witness here. We conclude, that this experience is positive to exercise business intelligence.
Comparison Study of Bidirectional Associative Memory and Feature Recognition of Neural Network Methods in the Character Recognition

This paper aims that analysing neural network method in character recognition. A neural network is a processing device, whose propose was expectant by the blueprint and functioning of human brain and their mechanism. The proposed solutions focus on applying Bidirectional Associative Memory and Feature Recognition Neural Network Method for character recognition. The core function of which is to regain in a character stored in memory, when an fractional or noisy version of that character is presented. An associative memory is a warehouse of associated characters that are encoded in various form. In auto-association, an input character is associated with itself and the states of input and output units match. When the warehouse is incited with a given imprecise or partial character, the associated character pair stored in its perfect form is recalled. Character recognition techniques are associated a symbolic identity with the image of the character. This problem of duplication of characters by machines (computers) involves the machine printed characters. There is no idle memory containing data and programmed, but each one neuron is programmed and constantly active.
Discrete Time Linear Systems Theory And Design With Applications

Thank you for reading discrete time linear systems theory and design with applications. Maybe you have knowledge that, people have look numerous times for their favorite novels like this discrete time linear systems theory and design with applications, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some malicious virus inside their laptop.
Success of Social Media Marketing Efforts in Retaining Sustainable Online Consumers: An Empirical Analysis on the Online Fashion Retail Market

This research examines the overall performance achievement of social media marketing (SMM) in Bangladesh by determining whether social media is successful in creating brand consciousness (i.e., brand preference, brand attachment, brand association, and brand loyalty) toward online consumers, which in turn may lead to buying commitment. In total, 564 Bangladeshi consumers were surveyed to monitor their responsiveness toward social media-aided motivations. We selected the online buying environment in Bangladesh, which is an emerging market established less than one decade ago. We specifically choose the entire local fashion industry as our target market, excluding the websites of international fashion brands operated overseas. We used the holistic concept of the five aspects of SMM, namely, interaction, entertainment, customization, electronic word of mouth (eWOM), and trendiness. Moreover, we statistically calculated the performance of social media through the consequences of five measures, namely, brand loyalty, brand preference, brand attachment, brand association, and buying commitment. We used regular linear multiple regression, correlation, and descriptive statistics to obtain statistical results. The study found strong evidence that SMM efforts (SMMEs) of the local Bangladeshi fashion industry are successful in establishing consumer attachment and preference. However, they fail to secure committed buyers when the measurement scale is below 50%. In line with the results of previous studies on consumer loyalty, our results demonstrate that SMMEs fail to create committed buyers. Lack of loyalty and association drive consumers to become uncommitted buyers.
Safety or Security: What do we Notice?

As technology progresses, ever-increasing amounts of non-traditional devices will be connected to the Internet of Things (IoT). Devices in the IoT are capable of notifying their owners of their status in real time. Because of this, these notifications can carry tremendous import. While there is previous work detailing how humans handle security notifications, none has been done for notifications that deal with physical safety. Using an online study, this project explored this gap in research by examining the difference between the two. Despite most metrics being identical, participants consistently responded more correctly to safety notifications than security, suggesting that there is a higher level of comprehension or understanding present with safety versus computer security.