Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impacts Of Inclusive Learning On Special Needs Students, Traditional Students And Faculty In The Agricultural Education Classroom

Agricultural Education prepares students for a wide range of opportunities in continuing education and employment. By allowing students of all academic and economic backgrounds to be involved in the agricultural classroom, students are capable of having an appreciation for agriculture and the environment. The classroom not only helps students develop essential career preparation skills but also is capable of providing personal growth that will benefit students now and in the future. By including all students in the agriculture classroom, all students are impacted in various ways. The purpose of this study was to evaluate the impact on students and faculty where inclusive learning is in place. Studies have indicated that not only are there tremendous benefits for a student with special needs in the agricultural classroom, but for all parties involved. Further preparation for faculty would also increase the positive impact of the inclusive learning experience. i ii ACKNOWLEDGMENTS I would like to thank my support system of family for pushing me forth and instilling in me the desire to achieve any success I desire. To my husband, your support has been endless throughout each step of my journey. Your determination and support has pushed me forward and kept my head high even when times were tough and I needed you most. Our schedules seemed to always conflict, but that just made us stronger; thanks for understanding. To my mom and dad, thank you for listening to my worries and for continuously filling my mind with hope. Your pride and respect for me and my journey shows every day, and that keeps me going. Thank you for showing me the agricultural life and all the benefits that comes with it. With that, my life has changed only for the better and placed agriculture in my career path at an early age. Thank you to all my close family and true friends who have stood by me and cheered me on through school transitions and stressful times. I would also like to thank all of my colleagues who have helped me out in the beginning when teaching was rough and when the economy crumbled with me in its grasp. Thank you for letting me know that the end was never near and there is so much more that I can accomplish. Lastly, I would like to thank the entire faculty and staff from Murray State University and Southern Illinois University who …
Introducing Media in a Model of Electoral Competition With Candidate Quality

: This work proposes and studies a two candidate model of electoral competition with candidate quality and media. The role of media is to inform voters about the quality of each candidate. We assume that there are two non-strategic media outlets, each one with a different ideal policy (there is a leftist media outlet and a rightist one), and that both of them transmit lower quality for a candidate the further from their ideal policy the policy the candidate proposes is. We also assume that the rightist media outlet has greater coverage, in the sense that it informs neutral voters and voters slightly on the left side of the political spectrum. We study the model under the classical assumption of risk-averse voters. Classical results concerning PSNE generally hold with a "media bias". We extend and characterize in our setting the MSNE found in Aragonés and Xefteris (2012), which sometimes fails to exist in our model.
Incorporating imperfect coverage into a BDD solution of a combinatorial model

This paper presents the DREDD (Dependability and Risk Evaluation using Decision Diagrams) algorithm which incorporates coverage modeling into a BDD solution of a combinatorial model. BDD's, which do not use cutsets to generate system unreliability, may be used to find exact solutions for extremely large systems. The DREDD algorithm takes advantage of the efficiency of the BDD solution approach and increases the accuracy of a combinatorial model by including consideration of imperfect coverage. The usefulness of combinatorial models, long appreciated for their logical structure and concise representational form, is extented to include many fault tolerant systems previously thought to require more complicated analysis techniques in order to include coverage modeling.
Integration of BankID Services in a PhoneGap Based Mobile Application

Security concerns became high with the rapid technology advancement andwith the open nature of the internet. BankID is the leading electronic identificationsystem in Sweden which is used by around 5 million people in a variety ofpublic and private services. BankID allows users to securely authenticate themselvesand digitally sign important documents and transactions over the internet.In 2011, BankID Security App was launched to be used in mobile smartphones and tablet computers. In this paper, different components of the PublicKey Infrastructure (PKI) which is a cryptographic technique that enables usersto safely communicate over the insecure internet has been studied in detail. Furthermore,a test BankID-integrated PhoneGap based app on the Android platformis implemented and a performance evaluation and security analysis wereperformed. The test implementation of the BankID-integrated app on theAndroid platform provides user authentication and digital signing functions.The implemented backend system consists of a server with digital certificateand a database. The performance test emphasizes on the measurement of the accesstime between the components of the system and usability of the application.Access time measurement includes a reasonable amount of time in whichthe user is able to perform different activities in the system. In usability assessmentnumber of actions to perform a certain task and the ease of the user interfacehas been taken into consideration. The security analysis aims to identifypotential security flaws in the system and discuss possible solutions. The potentialsecurity risks we identified during the implementation of the system are theman-in-the-middle-attack, the Heartbleed bug, losing the mobile device andphysical access to the backend system. The potential security risks in the systemwere examined with regard to severity and probability of occurrence. Finally,the thesis project has been discussed in terms of the future work and system expansions.The result of the thesis will be used as a base in production developmentby Dewire, the company for which the thesis work has been conducted.
Making H-Anim bodies

As the 3D Internet continues to grow, there will be an increasing need to represent human beings in online virtual environments. Achieving that goal will require the creation of libraries of interchangeable humanoids, as well as authoring tools that make it easy to create new humanoids and animate them in various ways. (.) This standard will allow humanoids created using authoring tools from one vendor to be animated using tools from another. Humanoid Animation Group[11] ("h-Anim" for short) for the sole purpose of creating a standard representation for humanoids
Machine Learning for Intelligent Control: Application of Reinforcement Learning Techniques to the Development of Flight Control Systems for Miniature UAV Rotorcraft

This thesis investigates the possibility of using reinforcement learning (RL) techniques to create a flight controller for a quadrotor Micro Aerial Vehicle (MAV). A capable flight control system is a core requirement of any unmanned aerial vehicle. The challenging and diverse applications in which MAVs are destined to be used, mean that considerable time and effort need to be put into designing and commissioning suitable flight controllers. It is proposed that reinforcement learning, a subset of machine learning, could be used to address some of the practical difficulties. While much research has delved into RL in unmanned aerial vehicle applications, this work has tended to ignore low level motion control, or been concerned only in off-line learning regimes. This thesis addresses an area in which accessible information is scarce: the performance of RL when used for on-policy motion control. Trying out a candidate algorithm on a real MAV is a simple but expensive proposition. In place of such an approach, this research details the development of a suitable simulator environment, in which a prototype controller might be evaluated. Then inquiry then proposes a possible RL-based control system, utilising the Q-learning algorithm, with an adaptive RBF-network providing function approximation. The operation of this prototypical control system is then tested in detail, to determine both the absolute level of performance which can be expected, and the effect which tuning critical parameters of the algorithm has on the functioning of the controller. Performance is compared against a conventional PID controller to maximise the usability of the results by a wide audience. Testing considers behaviour in the presence of disturbances, and run-time changes in plant dynamics. Results show that given sufficient learning opportunity, a RL-based control system performs as well as a simple PID controller. However, unstable behaviour during learning is an issue for future analysis. Additionally, preliminary testing is performed to evaluate the feasibility of implementing RL algorithms in an embedded computing environment, as a general requirement for a MAV flight controller. Whilst the algorithm runs successfully in an embedded context, observation reveals further development would be necessary to reduce computation time to a level where a controller was able to update sufficiently quickly for a real-time motion control application. In summary, the study provides a critical assessment of the feasibility of using RL algorithms for motion control tasks, such as MAV flight control. Advantages which merit interest are exposed, though practical considerations suggest at this stage, that such a control system is not a realistic proposition. There is a discussion of avenues which may uncover possibilities to surmount these challenges. This investigation will prove useful for engineers interested in the opportunities which reinforcement learning techniques represent.
Biped locomotion control via hybrid position control and gravity compensation modes

Past three decades witnessed a growing interest in biped walking robots because of their advantageous use in the human environment. However, their control is challenging because of their many degrees of freedom and non-linearities in their dynamics. Various trajectory generation and walking control approaches ranging from open loop walking to systems with many sensors and feedback loops have been reported in the literature. The tuning of the parameters of reference gait is a common complication encountered. Another important problem of the walking control is the contact transients at the instant of landing. The method presented in this thesis generated position references for the upper body. Optimization techniques are employed to obtain suitable leg joint torques for the supporting leg to track body reference trajectories. Locomotion is achieved by a swinging leg control scheme, which is based on position control on certain directions, and artificial gravity compensation on certain directions. Soft landing and low impedance problem of the legs can easily be handled with this scheme. Another advantage is that limited number of parameters is required for gait generation. 3D dynamics and ground interaction simulation techniques are employed for a 12-DOF biped robot to test the proposed method. The simulations indicate the applicability of the method in real implementations.
Adenocarcinoma ileum: a rare cause of ileal stricture mimicking intestinal tuberculosis: a case report and literature review

One of the commonest causes of small intestinal obstruction in India is tuberculosis. The terminal ileum and ileocaecal junction are the most common sites of small bowel involvement, and the most common abnormality is short-segment strictures. We report a patient who presented with small intestinal obstruction due to a solitary ileal stricture, but turned out to be a rare condition that can mimic intestinal tuberculosis. A 60-years-old man, with recurrent episodes of pain abdomen for 1 year, presented to our surgical emergency with evidence of small intestinal obstruction. A CT scan revealed a short segment stricture (2.7 cm) in mid ileal loop with luminal narrowing and marked proximal dilation of proximal ileal loops with a few sub centimetric mesenteric lymph nodes. On laparotomy with a suspected diagnosis of intestinal tuberculosis, it turned to be an adenocarcinoma of the ileum- a rare condition that can mimic intestinal tuberculosis. One of the commonest causes of small intestinal obstruction in India is abdominal tuberculosis. However, all cases of small intestinal obstruction are not tuberculosis. Adenocarcinoma of ileum is a very rare entity. This case report shows that a surgeon should have a high index of suspicion in an elderly patient presenting with small intestinal obstruction, with CT demonstrating isolated short-segment small bowel thickening, as it could be a presentation of obstructing type adenocarcinoma of the small intestine.
Measuring crime prevention through environmental design

Crime Prevention Through Environmental Design (CPTED) has considerable support among the built environment professions. Yet the underlying assumptions on which it is based have rarely been, effectiveness or efficacy. This paper reports the development and use of a evaluated to assess their of scale that measured the actual levels of incidental CPTED in two residential areas in Gold Coast, Australia. The scale was administered in parallel with a victimization and social attitude survey. Analysis based on the combination of the two suggests that CPTED measures may have some effect on reducing victimization, particularly the kind of CPTED measures that apply to the group of dwellings on a single street, but the effect on fear of crime is surprisingly limited. It also indicates that there is on a single street, but the of potential in the application of such a scale in a wider assessment of the effectiveness of operationalizing CPTED design measures.
Comparative analysis of the DNA isolated from thyme leaves using different methods

Background. The base for a molecular analysis is DNA of high quality. For DNA isolation, different kits or classical methods are used. For mass analysis, isolation with kits is a very expensive process. So, the objective of our investigation was to find a cheap method for high-quality DNA isolation from leaves of various thyme cultivars.Materials and methods. Leaves cut from thyme accessions (Thymus mastichina L. cv. ‘Svetliachok’, T. striatus Vahl. cv. ‘Jubileiniy’, T. vulgaris L. cv. ‘Fantasia’, and T. vulgaris cv. ‘Jalos’.) maintained ex situ in the collection of the Nikita Botanical Gardens were used as the material for the analysis. Light microscopy was used to study leaf anatomy and localize essential oil on leaf cross sections. Essential oil was extracted on Ginsberg devices, and phenolic content was measured with The Folin–Ciocâlteu reagent (FCR). Commercial kits (DiamondDNATM, PureLink® Plant Total DNA Purification Kit) and classical methods (CTAB, CTAB with 2% polyvinylpyrrolidone) were used for DNA isolation. DNA quality was evaluated spectrophotometrically, with electrophoresis (horizontal, automated system Agilent 4200 TapeStation) and PCR.Results. The analysis showed that the leaf blade mesophyll of four thyme cultivars had inclusions with essential oil. The content of essential oil and phenolic compounds was measured biochemically. Since the plants were characterized by the presence of secondary metabolites, DNA was isolated by different methods. Spectrophotometry demonstrated that the classical CTAB method and CTAB with 2% PVP provided the best results. Using an automated electrophoresis system, the presence of high-molecularweight DNA (more than 52000 bp) in significant amounts was detected in the samples isolated with DiamondDNATM kit and CTAB + 2% PVP.Conclusion. Among the tested kits and methods, CTAB + 2% PVP provided thyme DNA suitable for PCR and, presumably, for genome library preparation. The low cost of reagents for this technique makes it applicable for future mass analysis of plant material.
Justification and Requirements for a National DDoS Defense Technology Evaluation Facility

The explosive growth of the Internet and its increasingly critical role in supporting electronic commerce, transportation, and communications, have brought an equally explosive growth in attacks on Internet infrastructure and services. Some of the most difficult attacks to defend against are the Distributed Denial of Service (DDoS) attacks, in which an overwhelming flood of network packets is generated from many different sources, with the intent of preventing legitimate use of services. Typically, DDoS attacks are directed at one or more targets, such as end-users, web servers, entire networks or parts of networks, or networking infrastructure components. DDoS attacks pose a severe threat to the nation's ability to conduct business, defend itself, and provide vital government services to its citizens. Medium-scale DDoS attacks have been observed frequently during the past 2-3 years, and larger scale attacks are increasingly likely. For example, an amateur attacker disabled some of the world's largest web services (e.g., Yahoo! , CNN, Amazon, and Buy.com) for hours in February 2000. More recently, attacks against the CERT® Coordination Center [14] and edNET [15], a Scottish ISP, caused major disruptions in service. A determined enemy could perpetrate focused attacks that disable vital services at critical times, disrupt commerce, create uncertainty and panic among the public, and effectively prevent much of the electronic communication the U.S. Government relies on today. This serious national vulnerability can only be addressed through substantial and coordinated efforts by government and industry. Although DDoS has recently drawn significant attention from the network security research community, no general approach to a solution has yet been identified. The nature and goals of effective DDoS solutions are not yet clear, and no broadly applicable, practical DDoS defense implementations have been produced. Even simple DDoS attacks cause significant disruptions today; more sophisticated attack techniques, undoubtedly being developed, will be difficult or impossible to counter with current defense technology. Research experts believe the DDoS problem to be fundamentally difficult for several reasons. The network traffic transmitted in a DDoS attack can be virtually indistinguishable from traffic for legitimate use of a service. DDoS attacks make use of forged source addresses, indirection, reflection, and other techniques to conceal the locations of the computers that are the real sources of the attacks. Finally, the attack sources themselves, typically commandeered from unwitting legitimate users, are widely distributed among different independent networks, so stopping an attack at its source presents technological and administrative challenges. Developing …
Laboratory Performance Testing of Warm-Mix Asphalt Technologies for Airfield Pavements

Abstract : This report presents results from testing warm-mix asphalt (WMA) mixtures designed for airfield pavements. The study was conducted in two phases. The first phase included laboratory tests on 11 WMA technologies. The tests in Phase 2 were performed on three WMA mixtures and one hotmix asphalt (HMA) mixture produced in an asphalt plant. The evaluation included performance tests to assess WMA susceptibility to permanent deformation and moisture damage compared to HMA produced using the same aggregate blend. Although WMA exhibited poorer performance than HMA in moisture damage tests on laboratory-produced specimens, the plant-produced mix indicated very little difference compared to HMA. Rutting potential for WMA was initially somewhat greater than for HMA for mixtures produced both in the laboratory and in an asphalt plant. Differences in performance among WMA mixtures were not attributed to a specific WMA technology category. Variations in performance test results between laboratory-produced specimens and plant-produced specimens were noted, indicating a need to require performance testing as part of a comprehensive quality assurance plan. Based on the laboratory performance test results of this study, WMA is a viable alternative to HMA for wearing surfaces on airfields.
An initial theoretical foundation for object-oriented systems analysis and design

ion of an object’s status, phase, mode, or situation. An object may be in several different Figure 2.3 Sample state net states at any time. For example, an order object may be in the Customer Waiting and theUnpaid state at the same time. Transitions are the means by which objects leave and enter states. A transition consists of a trigger and an optional action. Triggers, which are in the top half of transition rectangles, describe the conditions or events that cause a transition to fire. Actions, which are in the bottom half, describe what an object does when a transition fires. A transition is enabled when an object is in all states of a conjunction of prior states. Usually, this amounts to an object being in one of the prior states, since prior-state conjunctions often include only one state. An enabled transition fires when the trigger holds. After firing and performing the transition’s action an object enters all states of a conjunction of subsequent states, which often consists of just one subsequent state. Transition [1] in Figure 2.3 says that if an order object is in the Open state or
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Statement of Operational Requirements (SOR): Guidance for Creating an SOR for Less Lethal Weapons

Abstract : In recent years, Canadian law enforcement has attracted increased public interest in police use of force in addition to the methods by which Less Lethal Weapons (LLWs) are tested and received approval for use. One of the objectives of the Conducted Energy Weapons Strategic Initiative (CEWSI) project is to develop a LLW approval process that could be applied to emerging less lethal technologies. The identification of requirements represents the first step in obtaining a new capability. This paper introduces the characteristics of good requirements, suggests several techniques for obtaining requirements and provides a template and guidelines for creating a Statement of Operational Requirements for a LLW capability.