Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparison of the perceived credibility and usefulness of beef cattle magazine articles with and without photographs

A Comparison of the Perceived Credibility and Usefulness of Beef Cattle Magazine Articles With and Without Photographs. (May 2008) James Dale Sandlin, B.S., Texas A&M University Chair of Advisory Committee: Dr. Tracy A. Rutherford This thesis explored the credibility and usefulness of beef cattle magazine articles with and without photographs perceived by students at a Southern land-grant institution. The thesis also explored the use of alternate forms of repeated measure to determine if a relationship existed in instrumentation when a photograph was presented first or presented second. The study found that credibility was perceived to be greater when photographs were present in an article. The study found that usefulness was perceived to be greater when photographs were not present in an article. The study found a relationship between credibility and usefulness when presented with and without photographs. The study found that perceived credibility was greater when an article presented with a photograph was presented first. The study also found that perceived usefulness was greater when an article without photograph was presented first. The findings of this study indicated that magazines should take these factors into account when a desired outcome is to increase editorial credibility and increase the effectiveness of the message.
Design & Development of an Effective Routing Technique for Wireless Sensor Networks

WSN acquires the data of surrounding environments with sensors attached to each node. It is important to design sensor networks that can communicate energy efficiently as well as to derive sensor readings with high accuracy. The proposed routing scheme that assures high accuracy and significantly reduces data transmission costs in WSN with faults. A number of network topologies randomly for routing sensor readings to the base station. Because every sensor node is connected to each other with a single path, redundant transmissions are not incurred. It can reduce unnecessary transmissions and guarantee final sensor readings with high accuracy. To show the superiority of the proposed scheme, it is compared with an existing multi-path routing scheme and with increased number of sensors in the area been deployed.
Bringing hidden treasures to light: illuminating DSpace

The Open Archives Initiative (OAI) has gained momentum since eprints.org was released in 2000. An alternative to eprints.org is the recently released DSpace, the open source software developed at MIT. The paper will trace the history and development of DSpace initiatives, such as the joint project between MIT and University of Cambridge. It also discusses the impact and benefits of repositories for research institutions and libraries.
LRS Bianchi Type I Cosmological Model with Late Time Acceleration

A new class of spatially homogeneous and anisomorpic LRS binachi type-I cosmological model in f (R, T ) theory gravity. To solve Einstein field equation in f (R, T ) gravity, by taking f (R, T ) = R + 2f (T ) and Hubble parameter H is a suitable function of cosmic time t which yields model is tranensition phase. The physical and kinematical parameters of the models are discussed. The models are found to be compatible with the result of recent observations.
VMware vSphere Design

Achieve the performance, scalability, and ROI your business needsWhat can you do at the start of a virtualization deployment to make things run more smoothly? If you plan, deploy, maintain, and optimize vSphere solutions in your company, this unique book provides keen insight and solutions. From hardware selection, network layout, and security considerations to storage and hypervisors, this book explains the design decisions you'll face and how to make the right choices.Written by two virtualization experts and packed with real-world strategies and examples, VMware vSphere Design, Second Edition will help you design smart design decisions.Shows IT administrators how plan, deploy, maintain, and optimize vSphere virtualization solutions Explains the design decisions typically encountered at every step in the process and how to make the right choices Covers server hardware selection, network topology, security, storage, virtual machine design, and more Topics include ESXi hypervisors deployment, vSwitches versus dvSwitches, and FC, FCoE, iSCSI, or NFS storage Find out the "why" behind virtualization design decisions and make better choices, with VMware vSphere Design, Second Edition, which has been fully updated for vSphere 5.x.
Integrating Lectures and Experiments in the Teaching of Real Estate Investments: A Blended Learning Approach

Based on the burgeoning success achieved by blended learning methods in economics and finance, this paper conveys how to incorporate experimental methods into the traditional teaching of real estate. In order to demonstrate the practicality of blended learning in real estate courses, we design and conduct a blended learning lesson to teach real estate investments. It is our intention to encourage other faculty members to replicate this experience in their classrooms.
An Improved Analytical Model for Predicting the Switching Performance of SiC MOSFETs

This paper derives an improved analytical model to estimate switching loss and analyze the effects of parasitic elements on the switching performance of SiC MOSFETs. The proposed analytical model considers the parasitic inductances, the nonlinearity of the junction capacitances and the nonlinearity of the trans-conductance. The turn-on process and the turn-off process are illustrated in detail, and equivalent circuits are derived and solved for each switching transition. The proposed analytical model is more accurate and matches better with experimental results than other analytical models. Note that switching losses calculated based on experiments are imprecise, because the energy of the junction capacitances is not properly disposed. Finally, the proposed analytical model is utilized to account for the effects of parasitic elements on the switching performance of a SiC MOSFET, and the circuit design rules for high frequency circuits are given.
Bibliography

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Constrained steering law of pyramid type CMGS and ground tests

We present a constrained steering law of pyramid type Control Moment Gyros (CMGs) and detail its procedure and implementation. This steering law uses a constraining relation of four input variables of the CMG system and solves nonredundant kinematics. Though the angular momentum workspace of this method is rather smaller than the original maximum workspace, singularity avoidance is assured, and this steering law is much simpler than usual steering laws. This method can be applied to steering of four out of six unit system of a MIR-type CMG system. Advantages of this steering law were verified in comparison with a gradient method and an SR-inverse steering law by using a ground test facility which simulated spacecraft motion. In addition, operational modes of the law and a mode-changing procedure were experimentally evaluated. (Author)
Quantitative magnetophoresis of micro and nano particles

Timothy D. Meehan: Quantitative Magnetophoresis of Micro and Nano Particles (Under the Direction of Richard Superfine and Mark Wightman) Microand nanoscale magnetic particles are becoming increasingly utilized in a variety of settings. Magnetophoresis is commonly used in diagnostic devices, research applications, and medicinal science. The applications of magnetophoresis in drug delivery, gene transfection, and hyperthermic treatment of tumours are in the initial phases of development. While a large body of work in magnetophoresis exists, here are few reports of the relevant magnetophoretic parameters of a system being quantitatively correlated with driven particle mobility. The relationships between the size, shape, and magnetic properties of the particles, the applied magnetic field, and the viscosity of the medium are relevant to particle magnetophoresis and the design of magnetophoretic systems. The investigation described here begins with the room temperature magnetic characterization of the three particles used: commercial beads, nanorods, and for the first time ferritin. Ferritin is a magnetic protein which has been used extensively in a research context for labelling biological particles, however such systems have not been quantifiably characterized to enable the development of loading/force causal relationships. Here, a model platform was used to correlate for the first time, the quantified ferritin loading, the empirically determined magnetic properties of the ferritin labelled particles, and the magnetophoretic forces.
Two-step synthesis of Ag-decorated MoO3 nanotubes, and the effect of hydrogen doping

Nowadays, plasmonic nanomaterials have become more attractive owing to their enhanced surface sensitivity towards species adsorption. Here we report on Ag-decorated MoO3 nanotubes (Ag-MNTs) were obtained via a straightforward two-step process, involving anodizing synthesis of blue MoOx nanosheets in water, followed by adding an AgNO3 complex. It was observed that, depending on the Ag:Mo molar ratio, the solution bleached to light green or brown colors. Based on TEM, XRD, UV–Vis, Raman spectroscopy, and XPS, we found that this is due to a process in which MoOx nanosheets transform into MoO3 nanotubes (MNTs), and formation of Ag NPs decorated on those nanotubes. The Ag-MoO3 colloidal solutions achieved were sensitive to hydrogen injection as the color return to a light green/blue color. Our data show that the Mo oxide stoichiometry is reversible in a hydrogenation/dehydrogenation cycle. But the structure of MNTs collapses due to the interaction with hydrogen. However, the real-time hydrogen doping was studied by UV–Vis spectrometry on sealed hydrogenated solutions. This process led to a spectral shift in Ag plasmonic peak, and change in the absorption strength with a correlation to Ag:Mo molar ratio, and MoOx LSPR absorption, which was assumed to be proportional to the hydrogen doping level.
Analysis of Multi-Agent-Based Adaptive Droop-Controlled AC Microgrids with PSCAD: Modeling and Simulation

A microgrid (MG) with integrated renewable energy resources can benefit both utility companies and customers. As a result, they are attracting a great deal of attention. The control of a MG is very important for the stable operation of a MG. The droop-control method is popular since it avoids circulating currents among the converters without using any critical communication between them. Traditional droop control methods have the drawback of an inherent trade-off between power sharing and voltage and frequency regulation. An adaptive droop control method is proposed, which can operate in both the island mode and the grid-connected mode. It can also ensure smooth switching between these two modes. Furthermore, the voltage and frequency of a MG can be restored by using the proposed droop controller. Meanwhile, the active power can be dispatched appropriately in both operating modes based on the capacity or running cost of the Distributed Generators (DGs). The global information (such as the average voltage and output active power of the MG and so on) required by the proposed droop control method to restore the voltage and frequency deviations can be acquired distributedly based on the Multi Agent System (MAS). Simulation studies in PSCAD demonstrate the effectiveness of the proposed control method.
A Culturally Responsive Literacy Approach to Develop Scientific Conceptual Knowledge through Creative Narratives

Our study examined the effects of culturally responsive literacy pedagogical approaches in the development of scientific vocabulary and conceptual knowledge among minoritized middle-grade students during a summer program. We describe the design and implementation of a literacy-enriched STEM instructional unit of study built upon the background experiences of Latina/Latino migrant farmworkers’ children to expand their STEM literacy skills and knowledge. Our aim with this unit was to increase the students’ science knowledge and skills; strengthen their mathematical abilities; enhance their ability to use technology for research; and improve their academic vocabulary, language, and writing skills. This program also had as an objective to explore the students’ self-perceptions regarding science learning. Qualitative and quantitative data were collected from the students’ pre- and postsurveys, pre- and post-tests, assignments, and group interview. The results demonstrated significant improvements in the students’ vocabulary and conceptual understandings. The students developed an awareness of the interrelation of science, math, technology, and literacy with their background experiences, expanded their interest in science, and increased their ability to write effectively about STEM topics. These results also highlighted the significance of connecting STEM instruction with both background knowledge and possible careers via out-of-school efforts like this program to increase minoritized students’ interest in pursuing STEM careers.
Geotagged Twitter posts from the United States: A tweet collection to investigate representativeness

This dataset consists of IDs of geotagged Twitter posts from within the United States. They are provided as files per day and state as well as per day and county. In addition, files containing the aggregated number of hashtags from these tweets are provided per day and state and per day and county. This data is organized as a ZIP-file per month containing several zip-files per day which hold the txt-files with the ID/hash information. Also part of the dataset are two shapefiles for the US counties and states and Python scripts for the data collection and sorting geotags into counties.
Power Flowing Control Strategy of Series Hybrid Tracked Bulldozer at the Typical Working Condition

Powertrain system and its energy control strategies are studied in order to improve fuel consumption of a kind of series hybrid tracked bulldozer. Mathematical models of engine's output power, fuel consumption, and generator's efficiency are established base on their dynamic working characteristic analysis and experimental data on test bench. By utilizing series-parallel topological structure between ultracapacitor and resistance, an ultracapacitor's dynamic working model is setup, and its working scope of state of charge(SOC) is build. The lowest fuel consumption curve is found after above models' optimization, and a power flowing control strategy based on the engine's optimal fuel consumption is proposed. This power flowing control strategy is simulated under a bulldozer's typical working duty. The variations of ultracapicitor's charge and discharge parameters, like voltage, current, and SOC are demonstrated. The engine's rotate speed, output torque, fuel consumption and the position of accelerate pedal are revealed comparing to these of the prototype tracked bulldozer with traditional mechanical powertrain structure. The results show that the proposed control strategy is verified well, and, the engine fuel economy can be improved 13.1% compared to the prototype one under the same typical working duty of the bulldozer.
BIG DATA ANALYTICS IN HEALTHCARE: A SURVEY

Like Oxygen, the world is surrounded by data today. The quantity of data that we harvest and eat up is thriving aggressively in the digitized world. Increasing use of new innovations and social media generate vast amount of data that can earn splendid information if properly analyzed. This large dataset generally known as big data, do not fit in traditional databases because of its’ rich size. Organizations need to manage and analyze big data for better decision making and outcomes. So, big data analytics is receiving a great deal of attention today. In healthcare, big data analytics has the possibility of advanced patient care and clinical decision support. In this paper, we review the background and the various methods of big data analytics in healthcare. This paper also elaborates various platforms and algorithms for big data analytics and discussion on its advantages and challenges. This survey winds up with a discussion of challenges and future directions.
Technology: A Crucial Success Factor in Manufacturing? - Some Insights from the Research Project: World Class Manufacturing

Continuous technological change is often cited as a prerequisite for competitiveness and survivability of companies and whole economies alike. Although technology influences all activities in a company’s value chain, technology particularly affects a company’s competitiveness in the area of manufacturing. This paper falls within the scope of the international research project “World Class Manufacturing“. The project’s aims are to investigate the critical success factors in manufacturing, mainly on the basis of statistical analysis. A large subset of the project, and the main focus of this paper, is the field of technology. In a first step, the collected data are used to test hypotheses, about the effect of technology on several measures of performance. This part shows the typical approach of empirical analysis. However, this statistical analysis is insufficient to investigate the highly dynamic area of technology, and to show and explain the influences of technology on competitiveness. Therefore, in the second step some basic feedback structures of a System Dynamics model are presented. This structure is verified on the basis of data collected within the empirical survey. The model then can be used to investigate whether there are specific conditions under which technology strategies lead to a competitive advantage or are condemned to failure from the start. Additionally, it will be shown how system dynamics based modeling and empirical research can complement each other and aid the process of theory building. IMPORTANCE OF TECHNOLOGY FOR MANUFACTURING’S COMPETITIVENESS Continuous technological change is often cited as a prerequisite for competitiveness and survivability of companies and whole economies. Although technology influences all activities in a company’s value chain, in particular technology may affect a company’s competitiveness in the field of manufacturing. Products manufactured and sold to the customer, processes used to make the products, and information systems used to integrate the various areas of a company are each a part of the technology in use and are expected to show an impact on the performance of the ♣ Visiting Scholar from the University of Mannheim at Massachusetts Institute of Technology, Sloan School of Management, System Dynamics Group, 30 Memorial Drive, E60 365, Cambridge, MA 02142, USA, Phone: 617-258-6838, E-mail: fmaier@mit.edu Home address: Industrieseminar der Universitat Mannheim, D-68131 Mannheim, Germany, Phone: (+49 621) 292-3157 • Fax: (+49 621) 292-5259, E-mail: fmaier@is.bwl. uni-mannheim.de
On shaky ground - A study of security vulnerabilities in control protocols

The recent introduction of information technologies such as Ethernet R into nuclear industry control devices has resulted in significantly less isolation from the outside world. This raises the question of whether these systems could be attacked by malware, network hackers or professional criminals to cause disruption to critical operations in a manner similar to the impacts now felt in the business world. To help answer this question, a study was undertaken to test a representative control protocol to determine if it had vulnerabilities that could be exploited. A framework was created in which a test could express a large number of test cases in very compact formal language. This in turn, allowed for the economical automation of both the generation of selectively malformed protocol traffic and the measurement of device under test's (DUT) behavior in response to this traffic. Approximately 5000 protocol conformance tests were run against two major brands of industrial controller. More than 60 categories of errors were discovered, the majority of which were in the form of incorrect error responses to malformed traffic. Several malformed packets however, caused the device to respond or communicate in inappropriate ways. These would be relatively simple for an attacker to inject more » into a system and could result in the plant operator losing complete view or control of the control device. Based on this relatively small set of devices, we believe that the nuclear industry urgently needs to adopt better security robustness testing of control devices as standard practice. (authors) « less
Modelling colloidal particles adsorbed at fluid-fluid interfaces

This thesis concerns the modelling of the interactions between colloidal particles and fluid-fluid interfaces. Colloidal particles -- micrometre to nanometre sized solid particles -- adsorb strongly at fluid-fluid interfaces because they reduce energetically costly fluid-fluid interface area. Once adsorbed at an interface, colloidal particles interact via various physical forces. One such type of interaction, capillary interactions, emerge because particles deform the fluid-fluid interface leading to excess interface area. The particles minimise this excess interface area by overlapping their respective interface deformations. In this thesis we develop a new theoretical model describing the detachment energy of prolate and oblate ellipsoidal particles from fluid-fluid interfaces. In so doing, we verify a lattice Boltzmann based numerical method and confirm that it is a powerful tool for modelling emulsions. We investigate the rotation of magnetic prolate spheroidal particles at fluid-fluid interfaces by applying an external magnetic field directed normal to the interface. The particles experience a torque attempting to align them with the external field, but surface tension resists this rotation. Consequently, the particles tilt with respect to the interface. We show that during tilting, the particles deform the interface in a dipolar manner, providing an experimental realisation of a long sought-after capillary interaction mode. We further confirm a predicted first-order phase transition with respect to the particle's orientation as a function of the dipole-field strength. Finally, we utilise these induced dipolar capillary interactions to assemble ellipsoidal particles at fluid-fluid interfaces, and investigate the structures they form. We show that the capillary interactions and the resulting structure formation can be tuned by varying the dipole-field strength, providing one of the first realisations of truly tunable capillary interactions. Additionally, we show that by exploiting the first-order phase transition, we can switch the capillary interactions on and off by causing the particles to flip from a tilted state to a vertical state in which interface deformations and hence capillary interactions disappear. Our results have implications for the directed assembly of colloidal particles at fluid-fluid interfaces and for the creation of novel, reconfigurable materials composed of colloidal particles.