Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing a novel hepatitis B core-based antigen presentation system

Plant-produced proteins of pharmaceutical interest are beginning to reach the market, and the advantages of transient plant expression systems are gaining increasing recognition. In parallel, the use of virus-like particles (VLPs) has become standard in vaccine design. The pEAQ-HT vector derived from the cowpea mosaic virus – based CPMV-HT expression system has been shown to allow the production of large amounts of recombinant proteins, including VLPs, in Nicotiana benthamiana. Moreover, previous work demonstrated that a tandem fusion of the core antigen (HBcAg) of hepatitis B virus (HBV) could direct the formation of core-like particles (CLPs) in plants. The work presented here demonstrated that the tandem core system is better suited for the plant-based production of CLPs presenting foreign antigens than SplitCore technology. It was shown that tandem core technology allows the plant-based production of CLPs which are suitable for the presentation of antigens either via chemical coupling or through antibody-antigen interactions. Of particular significance was the successful display of single domain antibody fragments of camelid origin (nanobodies, or VHH). The resulting “tandibody” particles, as they are named here, can bind to their cognate antigen to yield CLPs covered in the antigen of interest. Furthermore, it was shown that target antigens can be attached to CLPs via a fusion partner, raising the possibility of the development of a universal generic antigen-display platform. In addition to the transient expression work on HBcAg, lines of stably transformed N. benthamiana were created which constitutively expressed human gastric lipase (hGL), an enzyme of medical importance. In the future, this approach could be used to create transgenic plants constitutively expressing a universal tandibody, thus obviating the need for infiltration.
The effect of double Venturi's structural parameters on the reinforcement value and flow coeffcient

Reinforcement factor of a double Venturi is one of the more important parameters related to sensor shape and structure. The evaluation and the effect of the double Venturi’s structural parameters on its value were carried out by means of the regression equation obtained from numerical simulation tests conducted by means of the Fluent program and planned experimental techniques. The presented test results indicate that the largest effect on reinforcement, within the tested field, was the throat diameter of the internal Venturi and the diffuser length of the external Venturi. The second important parameter of a double Venturi is the flow coefficient K. The analysis of construction parameters was also carried out by means of the regression equation. The parameters which, when enlarged, cause the reduction in the flow coefficient (K) range are: the diffuser length of the external Venturi, and the first-degree interaction between the internal diffuser length and the internal Venturi’s throat diameter. Simulation test results and conclusions have been supported by experimental results.
A CFD (Computer Fluid Dynamics) Analysis Based Design Method for An Autonomous Underwater Vehicle Ducted Propeller

This paper presents a method for estimating the propulsion performance and efficiency of an AUV thruster based on CFD (Computer Fluid Dynamics) analysis. A discussion of the factors influencing the numerical simulation accuracy and convergence rate, namely the number, size, and type of mesh elements required to describe each part of the model, is presented. The axial symmetry characteristics of the propeller, nozzle and the encompassing MRF (Moving Reference Frame) region have been used to reduce complexity and hence computation time. The paper, then, describes a method for estimating the motor horsepower and RPM of an AUV thruster based on simulated resistance tests and propeller open water (POW) tests. The engine horsepower for an AUV equipped with a ducted propeller and RPM is evaluated from the speed-power curve. The effectiveness of the ducted propeller is studied by comparing the performance characteristics for test results obtained without the nozzle versus those obtained for a range of nozzle shapes. The best design of the nozzle shape is finally determined from speed-power curves of the given duct.
Information System for Land-Use Planning and Management

In order to maintain the overall social interest in land use and improve the level of land administration, an information system for land-use planning and management (ISLUPM) was established, which is composed of presentation layer, business logic layer and data layer in the general structure. The application support platform of the ISLUPM, built based on COM, COM+ and . NET standard components, includes data engine, data management, assemblies, components management, operation management, and interface. Then, an elaboration was made on major functions of the ISLUPM, such as planning revision scheme, planning operation flow, digital processing, thematic analysis and inquiry, and preparation of the chart of reserved land resources. The developed system has been successfully applied to the land-use planning and management work of Longquanyi District, Chengdu, China. It may provide a reference for development of geographic information system (GIS) for land and resources. 更多还原
Rounding the edge(s) of a (torrid) region: designing arts capstone curriculum at JCU

This paper concerns the development of an interdisciplinary capstone subject for Bachelor of Arts students at James Cook University that showcases the faculty-based approach WIL strategy outlined by Patrick et al. (2008) where WIL is incorporated into core curriculum through "sequential teaching and assessment approaches from first to final year". In 2010, two first year core subjects were introduced into the BA to address transition, retention, and skill-building. The design of the capstone subject follows this initiative and also targets a unique set of conditions: enhancement of the stagnant outlook for graduate transition and employability; embrace of JCU Singapore student cohort; and address to the university's strategic intent in re-branding its historical tropical profile and its expanding perspectives in the Asia-Pacific region. BA3000 Arts Edge, the resulting subject, represents not only an expansive exercise in applied and self-directed learning for students but also a unique enterprise in transdisciplinary staff interaction as well as engaging alumni, community and industry. The project has posed some formidable challenges and also exposed potential WIL and capstone interfaces. We discuss these emerging outcomes and this reconfigured space of learning and teaching in describing the development of the key activity, "The Edge".
Spatio-temporal circuits for imaging sensors

G.R. C.F acknowledges UNM-CHTM, Fulbright and the CAPES Foundation, Ministry of Education of Brazil, Cx. Postal 365, Brasilia, DF, 70359-970, Brazil, for scholarship. The authors also acknowledge the support of the National Science Foundation under grant ECCS-0925757
Modeling the Space Radiation Environment

There has been a renaissance of interest in space radiation environment modeling. This has been fueled by the growing need to replace long time standard AP-9 and AE-8 trapped particle models, the interplanetary exploration initiative, the modern satellite instrumentation that has led to unprecedented measurement accuracy, and the pervasive use of Commercial off the Shelf (COTS) microelectronics that require more accurate predictive capabilities. The objective of this viewgraph presentation was to provide basic understanding of the components of the space radiation environment and their variations, review traditional radiation effects application models, and present recent developments.
A simulation tool for parachute/payload systems

The design and evaluation of parachute-payload systems is a technology field in which numerical analysis tools can make very important contributions. This work describes a new development from CIMNE in this area, a coupled fluid-structural solver for unsteady simulations of ram-air type parachutes. For an efficient solution of the aerodynamic problem, an unsteady panel method has been chosen exploiting the fact that large areas of separated flow are not expected under nominal flight conditions of ram-air parachutes. A dynamic explicit finite element solver is used for the structure. This approach yields a robust solution even when highly non-linear effects due to large displacements and material response are present. An added benefit of the proposed aerodynamic and structural techniques is that they can be easily parallelized for increased performance in multi-core and multi-CPU architectures. The main features of the computational tools are described and several numerical examples are provided to illustrate the performance and capabilities of the technique.
Assessing the Effects of Climate Change on Compound Flooding in Coastal River Areas

Flood assessment in coastal river areas is subject to complex dependencies and interactions between flood drivers. In addition, coastal areas are especially vulnerable to climate change, and thus its effects should be considered in the evaluation of future flood hazard. In the present study, we propose a methodology for a robust evaluation of historical and future flooding in coastal river areas. It follows a continuous simulation approach in which a hydrologic‐hydraulic modeling cascade is run for several years, driven by a simultaneous series of flood drivers. The method differs from other existing methodologies in: (a) jointly considering the relevant flood drivers, both coastal and inland, together with their dependencies and interactions, to represent the simultaneous occurrence of extreme water levels correctly, and (b) obtaining local‐scale physically consistent projections of flood drivers to account for future climate change effects on compound flood hazard. The methodology is tested for a coastal river reach in NW Spain. The results show that, although mean sea level rise is usually expected to be the main driver of increased flood hazard, climate change effects on river discharge can play a very significant role in regions with compound flooding potential.
A Knowledge Model- and Growth Model-Based Decision Support System for Wheat Management

By applying the system analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management (WheatKnow) was developed. By adopting the soft component characteristics as non language rele vance, re-utilization and portable system maintenance, and by further integrating the wheat growth simulation model (WheatGrow) and intelligent system for wheat management, a comprehensive and digital knowledge model, growth model and component-based decision support system for wheat management (MBDSSWM) was established on the platforms of Visual C++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions for digital crop management.
Fiber Bragg grating ultrasonic sensors based on intensity modulation technique

Intensity modulation technique is an attractive interrogation method for fiber-optic ultrasonic sensors using fiber Bragg gratings (FBGs), in which FBG modulates the intensity of reflected (or transmitted) narrowband light with a wavelength tuned to the slope of the FBG reflection (or transmission) spectrum curve if the vibration or acoustic wave is applied to the FBG and the intensity detection enables the direct observation of their waveforms. In this paper, principles of the intensity-based FBG ultrasonic sensors and their applications to vibration and underwater acoustic wave sensors are presented.
Low-cost inertial navigation for moderate-g missions

A low cost inertial navigation system (INS) concept is described for flight missions characterized by moderate accelerations and limited attitude variations. These missions involve general aviation aircraft, helicopters, or remotely piloted vehicles. The significance of the moderate acceleration and limited attitude is reviewed with respect to platform mechanization and instrumentation. A hybrid mechanization, partially gimballed and partially strapdown, is presented. The INS is implemented by an unbalanced two axis gimbal system and controlled by a two degree of freedom gyro. The INS provides locally level two axis acceleration information along with pitch and roll measurements. Heading information is provided by a second gyro mounted in the inner gimbal. The system error model is equivalent to that of a conventional platform with a tilt error determined by the integral of the gyro drift rate and an equivalent accelerometer type errors are also cancelled. Rapid gyro-compassing, implemented with opened gimbal control loops, and a strapdown procedure provides calibration of gyro drift rate biases.
A Study on Current State of Web Content Accessibility on General Hospital Websites in Korea

In the study, we introduce the trend in domestic and foreign web accessibility, as well as the legal system that ensures web accessibility. Based on Korean Web Content Accessibility Guidelines (KWCAG)1.0, we investigated the web content accessibility of 80 tertiary health-care hospitals and general hospitals in Korea. We evaluated accessibility by combining accessibility-based criteria (ABC) with usability-based criteria (UBC). ABC was limited to an alternative text for Guideline 1, using a small number of frames and keyboard accessibility for Guideline 2. UBC checked the voice service (TTS), resizing text, providing multi-lingual websites, and disclosing web accessibility policy. KADO-WAH2.0 was used for representing the compliance rate. The evaluation result was a considerable improvement from previous results, even though the rate of compliance with web accessibility was generally insufficient. There was a significant difference between those medical centers which did and did not comply with web accessibility. Incidentally, many hospitals were found to have attempted to confront and come to terms with web accessibility. In future, the following factors are advisable for medical centers with publicity or public interest: they must employ active and aggressive promotion of establishment of independent accessibility guidelines to secure web accessibility, they should effect an improvement of the realization of web accessibility, there can be constant education and promotion, and there can be an institutional supplementation, as well as others.
Common Knowledge?

With an emphasis on peer-produced content and collaboration, Wikipedia exemplifies a departure from traditional management and organizational models. This iconic "project" has been variously characterized as a hive mind and an information revolution, attracting millions of new users even as it has been denigrated as anarchic and plagued by misinformation. Have Wikipedia's structure and inner workings promoted its astonishing growth and enduring public relevance? In Common Knowledge? , Dariusz Jemielniak draws on his academic expertise and years of active participation within the Wikipedia community to take readers inside the site, illuminating how it functions and deconstructing its distinctive organization. Against a backdrop of misconceptions about its governance, authenticity, and accessibility, Jemielniak delivers the first ethnography of Wikipedia, revealing that it is not entirely at the mercy of the public: instead, it balances open access and power with a unique bureaucracy that takes a page from traditional organizational forms. Along the way, Jemielniak incorporates fascinating cases that highlight the tug of war among the participants as they forge ahead in this pioneering environment.
Experimental control and model validation : a helicopter case study

Robust control has not been used as widely as it could because modelling tools have not advanced as far as analysis and synthesis tools. This becomes readily apparent when applying robust control theory to real problems. With this in mind, an experimental platform was designed and built to study the application of robust control. This platform consists of a real-time computer and a radio-controlled model helicopter mounted on a six degree-of-freedom stand. Experimental systems provide the opportunity not only to verify the applicability of new control theory but also to highlight potential deficiencies. Traditional system identification and control techniques were used to construct hover controllers for the model helicopter. These techniques are not suitable for the construction of robust models for a system of this complexity. In particular, there was no systematic way to augment nominal identified models with uncertainty suitable for the construction of robust controllers. To address this issue, frequency-domain model validation algorithms and software were developed. These algorithms provide a methodology for verifying the applicability and consistency between experimental data and robust models. Additionally, they provide a method whereby nominal model parameters can be tuned in a robust setting. This is the first set of software tools which provide this capability for general linear uncertain systems. Using these new software tools, a systematic design process was developed which incorporated frequency-domain model validation analysis, µ-analysis and µ-synthesis, simulation, and implementation. This design process proved to be a valuable new tool for constructing robust models and designing robust control systems. In particular, by applying this design process to the helicopter, the size of uncertainty in the robust model was substantially reduced without sacrificing the ability of the model to "cover" experimental data and the first controller implemented performed well. This was strikingly different from the results obtained when using standard robust control techniques, where several controllers destabilized the helicopter when implemented, even though they performed well under simulation. The model validation software and design process provide a consistent methodology and systematic framework which connects system identification, the construction of robust models, and controller synthesis with experimental data. For the first time the control engineer can compute measures on the validity of a robust model, with respect to all observed data on the actual physical system, which are directly related to the robustness measures resulting from µ-analysis and µ-synthesis.
DDoS Attack Classification on Cloud Environment Using Machine Learning Techniques with Different Feature Selection Methods

Cloud Computing is a prominent compelling paradigm for managing and delivering services over the Internet. It is modifying the landscape of information technology in terms of data storage. In large data storage requirements, highest priority is to be given for data security. Intrusion is one of the important security issues in today’s cyber world. Due to networked nature of the cloud, resources, data and applications are vulnerable to the attack in cloud environment. Intrusion Detection Systems (IDS) are employed in the cloud to detect malicious behavior in the network and in the host. Distributed Denial of Service (DDoS) attack is one of challenging task in IDS, as it creates a huge volume of malicious data in the network. Data mining methods for cyber analytics provide support for intrusion detection. A significant number of techniques are developed, based on machine learning approaches. Feature selection methods also play an important role in reducing the dimensionality of the dataset. In this work, two approaches are proposed and the dataset is collected from NSL-KDD. The first approach uses Learning Vector Quantization (LVQ), a filter method and the second approach uses Principal Component Analysis (PCA), a dimensionality reduction method. The selected features from each approach is used for classification using Naïve Bayes (NB), Support Vector Machine (SVM) and Decision Tree (DT) and compared the results in terms of their detection capability for DDoS attack. Results shows that LVQ based DT technique overtakes the others in terms of attack identification.
Learner-centered theory and practice in distance education : cases from higher education

Contents: Preface. Part I: Introduction. T.M. Duffy, J.R. Kirkley, Introduction: Theory and Practice in Distance Education. Part II: Community Building. L. Polin, Learning in Dialogue With a Practicing Community. S. Grabinger, Design Lessons for Social Education. K. Ruhleder, Interaction and Engagement in LEEP: Undistancing "Distance" Education at the Graduate Level. M. Schlager, Enabling New Forms of Online Engagement: Challenges for E-learning Design and Research. Part III: Problem-Centered Learning. T.M. Duffy, J.R. Kirkley, Learning Theory and Pedagogy Applied in Distance Learning: The Case of Cardean University. C.N. Gunawardena, The Challenge of Designing Inquiry-Based Online Learning Environments: Theory Into Practice. J. Stinson, A Continuing Learning Community for Graduates of an MBA Program: The Experiment at Ohio University. R.A. Wisher, Learning in the Knowledge Age: Up-Front or at a Distance. Part IV: Innovative Uses of Technology. J. Bransford, N. Vye, H. Bateman, S. Brophy, R.J. Roselli, Vanderbilt's AMIGO3 Project: Knowledge of How People Learn Enters Cyberspace. T. Anderson, A Second Look at Learning Sciences, Classrooms, and Technology: Issues of Implementation: Making It Work in the Real World. R. Lesh, S.K. Byrne, P.A. White, Distance Learning: Beyond the Transmission of Information Toward the Coconstruction of Complex Conceptual Artifacts and Tools. M.V. Champagne, Embedded Assessment: An Evaluation Tool for the Web-Based Learning Environment. Part V: Scaling Up. J.R. L. Islas, Collaborative Learning at Monterrey Tech-Virtual University. J.R. Kirkley, Using Theory-Based Approaches to Architect Online Collaborative Problem-Based Learning: Lessons Learned From Monterrey Tech-Virtual University. P.J. Shea, E.E. Fredericksen, A.M. Pickett, W.E. Pelz, Faculty Development, Student Satisfaction, and Reported Learning in the SUNY Learning Network. C. Eoyang, Promises and Challenges of Web-Based Education. Part VI: Alternate Views. S.M. Johnstone, A Policy Perspective on Learning Theory and Practice in Distance Education. J. Botkin, P. Kaipa, Pulling It All Together: A Business Perspective on Web-Based Learning.
Detection of Foreign Materials in Wheat Kernels Using Regional Colour Descriptors

Present paper reports the development of an automated machine vision system for detection of foreign materials in wheat kernels using regional color descriptors. The said system was executed in the form of an integrated flowing pipeline after having proper choice of different possible alternatives at different stages of image processing. A new type of surface colour descriptor is also proposed in this work to define wheat kernel uniquely. The fifteen-element colour descriptor is executed after having thorough comparison of six different colour spaces, each having 72 separate quantifiable components. The fifteen elements of the proposed colour-descriptor, extracted from each segmented region of the sample image, are concatenated in the form of an input to the neural classifier. The neural classifier is trained with Levenberg-Marquardt (LM) learning algorithm to achieve extremely fast convergence. The recognition rate of the executed classifier is found to be more than 99.2% for detection of impurity in unconnected wheat kernels. The results of present investigations are quite promising. The proposed pipeline has potential future in the field of machine vision based quality inspection of wheat and other cereal grains.