Miracle-dz/UniFAR-FTUs huggingface dataset:
MicroRNAs and small interfering RNAs as tools for the directed regulation of cellular processes for cancer therapy

MicroRNAs and small interfering RNAs (siRNAs) belong to an extensive class of small non-coding RNAs and play an important role in gene expression regulation in cells. It is shown that changes in the amount or activity of these molecules may lead to the development of various diseases, including cancer. This made it possible to consider them as promising diagnostic and prognostic markers, as well as tools for the directed regulation of protein synthesis in the cell and targets for therapy. This review summarizes the basic knowledge about the biogenesis, distribution and the mechanisms of action of microRNA and siRNA, as well as currently used ways of target genes expression management with their help. Possible methods of these molecules delivery into the cell in vitro and in vivo are considered.
Nonlinear control of a quad tilt-wing UAV

Unmanned aerial vehicles (UAVs) have become increasingly more popular over the last few decades. Their fascinating capabilities and performance in accomplishing a specific task have made them indispensable for various civilian/commercial and military applications. The remarkable progress in advanced manufacturing techniques and electronic components have rendered development of small, intelligent and low-cost UAVs possible. Consequently, a significant amount of research effort has been devoted to design of UAVs with intelligent navigation and control systems. This thesis work focuses on nonlinear control of a quad tilt-wing unmanned aerial vehicle (SUAVI: Sabanci University Unmanned Aerial Vehicle). The aerial vehicle has the capability of vertical takeoff and landing (VTOL), and flying horizontally due to its tilt-wing mechanism. Nonlinear dynamical models for various flight modes are obtained. A hierarchical control system that includes vertical, transition and horizontal modes flight controllers is developed. In order to design these controllers, the dynamics of the aerial vehicle is divided into position and attitude subsystems. Several nonlinear position control methods are developed for different flight modes. For the vertical flight mode, integral sliding mode and PID based position controllers via dynamic inversion method are designed. Feedback linearization and integral sliding mode attitude controllers are also proposed for the attitude stabilization of the aerial vehicle in vertical, transition and horizontal flight modes. Simulations and several real flight experiments demonstrate success of the developed flight controllers.
Media,Technology and Society : A History: From the Telegraph to the Internet

Introduction: The Storm from Paradise: Technological Innovation, Diffusion and Suppression:Part One: Propogating Sound at Considerable Distance 1. The Telegraph: The First Electrical Medium 2. Before the Speaking Telephone 3. The Capture of Sound Part Two: The Vital Spark & Fugitive Pictures 4. Wireless and Radio 5. Mechanically Scanned Television 6. Electronically Scanned Television 7. Television Spin-Offs and RedundanciesPart Three: Device for Casting Up Sums Very Pretty 8. Mechanising Calculation 9. The First Computers 10. Suppressing the Mainframes 11. The Integrated Circuit 12. The Coming of the MicrocomputerPart Four: The Intricate Web of Trails 13. The Beginnings of Networks 14. Networks & Recording Technologies 15. Communications Satellites 16. The Satellite Era 17. Cable Television 18. The Internet Conclusion: The Pile of Debris From the Boulevard des Capucins to the Leningradsky Prospect
Proportional Myoelectric Control of a Multifunction Upper-limb Prosthesis

This study is a part of a renew and continuation of the SVEN work done in Sweden in the later 1970's. The SVEN hand was an on/off-controlled upper-limb prosthesis based on measured electromyographic (EMG) signals. Recently the SVEN methods have been revived in a cooperation by NTNU and UNB, Canada. The aim of this study is to further develop a practical porportional control system for a multifunction upper-limb prosthesis. This is based on a hypothesis that a simple and smooth proportional control system will be easier for the central nervous system to adapt to, compared to existing systems, and will thus provide increased functionality for the user. A protocol has been developed for the recording of EMG signals and VICON motion measurements in a laboratory. Suitable data sets have been recorded from three test subjects, and signal processing and three pattern recognition methods have been applied on these data sets to generate estimates of clinical angles. The pattern recognition methods tested were linear (LF) and quadratic (QF) mapping functions and multi-layer perceptron (MLP) network. The performance of these methods has been evaluated, compared and visualized. More testing is needed to find the best method, and the MLP network can be improved in several ways. To achieve better angle estimates that can be used for proportional control of prostheses, we wanted to use EMG signal features that are insensitive to amplitude changes due to variations in skin conductance. Qualitative and quantitative EMG signal features are described with this property as an important concern. The zero-crossings (ZC) feature has been tested as one of these, also in combination with the averaged absolute value (AAV). Although ZC did not always perform superior to AAV, it is likely that other features and combinations of these should be tested. Inclusion of other properties from the prosthesis, like elbow angle or measured pressure from the arm on the prosthesis, can also be included to improve the estimates. We now have a large, suitable data set from the laboratory, which can be used for further work on pattern recognition and multifunction proportional control of prostheses. There are also other applications for the methods developed. The final step will hopefully be implementation in a real prosthesis.
Safety issues of drowsy/fatigue driving and countermeasure mitigation

Drowsy and fatigue driving is a major transportation safety concern and is responsible for thousands of accidents and numerous fatalities every year. The resulting harm of drowsy/fatigue driving could be even higher among commercial vehicles. Drowsy driving crashes are usually of high severity due to the drivers' significant loss of control, often leading to unpredicted vehicle trajectory and no braking response. Reliable safety systems need to be devised to mitigate these conditions during driving. The most important challenge is to detect the driver's condition sufficiently early, prior to the onset of sleep, to avoid collisions. Various detection methods have been proposed by researchers and a few systems are available in the commercial market. In general, drowsiness detection methods fall into two major categories of monitoring physiological or facial conditions of the drivers and monitoring vehicle-related variables that are correlated to the driver's level of drowsiness. Each method has its advantages and shortcomings. A reliable detection method needs to be integrated with a safety system including advisory warning, semi-control, or full control of vehicle, i.e., braking and/or steering to safe conditions. The nature and level of warning or control should also be carefully selected so as not to exacerbate a hazardous driving condition. The warning and control strategies need to be integrated with other in-vehicle safety systems (e.g. ACC, ESC, Lane Departure warning.) This paper first reviews the statistical significance of the crash data due to drowsiness and fatigue conditions. Then, the issues concerning various detection methods are discussed. Finally, the strategies of driver warning or semi or full vehicle control for a drowsy driver mitigation system are reviewed. The concepts and approaches reviewed in this paper can be used for passenger or commercial vehicle safety system developers and researchers to design new or enhanced in-vehicle warning or control systems to minimize the severity of vehicle collisions or avoid collisions caused by driver fatigue and drowsiness.
Dental Implants Success Prediction: Tomography Based and Data Mining Based Approach.

There are a number of factors that contribute to the success of dental implant operations. Among others, is the choice of location in which the prosthetic tooth is to be implanted. This project offers a new approach to analyse jaw tissue for the purpose of selecting suitable locations for teeth implant operations. The application developed takes as input jaw computed tomography stack of slices and trims data outside the jaw area, which is the point of interest. It then reconstructs a three dimensional model of the jaw highlighting points of interest on the reconstructed model. On another hand, data mining techniques have been utilised in order to construct a prediction model based on an information dataset of previous dental implant operations with observed stability values. The goal is to find patterns within the dataset that would help predicting the success likelihood of an implant.
NMIS With Gamma Spectrometry for Attributes of Pu and HEU, Explosives and Chemical Agents

The concept for the system described herein is an active/passive Nuclear Materials Identification System{sup 2} (NMIS) that incorporates gamma ray spectrometry{sup 3}. This incorporation of gamma ray spectrometry would add existing capability into this system. This Multiple Attribute System can determine a wide variety of attributes for Pu and highly enriched uranium (HEU) of which a selected subset could be chosen. This system can be built using commercial off the shelf (COTS) components. NMIS systems are at All-Russian Scientific Research Institute of Experimental Physics (VNIIEF) and Russian Federal Nuclear Center Institute of Technical Physics, (VNIITF) and measurements with Pu have been performed at VNIIEF and analyzed successfully for mass and thickness of Pu. NMIS systems are being used successfully for HEU at the Y-12 National Security Complex. The use of active gamma ray spectrometry for high explosive HE and chemical agent detection is a well known activation analysis technique, and it is incorporated here. This report describes the system, explains the attribute determination methods for fissile materials, discusses technical issues to be resolved, discusses additional development needs, presents a schedule for building from COTS components, and assembly with existing components, and discusses implementation issues such as lack of need formore » facility modification and low radiation exposure. « less
Achieving High Data Throughput in Research Networks

After less than a year of operation ,the BaBar experiment at SLAC has collected almost 100 million particle collision events in a database approaching 165TB.Around 20 TB of data has been exported via the Internet to the BaBar regional center at IN2P3 in Lyon,France,and around 40TB of simulated data has been imported from the Lawrence Livermore National Laboratory(LLNL),BaBar Collaborators plan to double data collection each year and export a third of the data to IN2P3.So within a few years the SLAC OC3 (155Mbps) connection will be fully utilized by file transfer to France alone.Upgrades to infrastructure is essential and detailed understanding of performance issues and the requirements for reliable high throughput transfers is critical.In this talk results from active and passive monitoring and direct measurements of throughput will be reviewed.Methods for achieving the ambitious requirements will be discussed.
Quality from scratch: A model for small business

Every company must satisfy customers, stakeholders and employees to survive. Day-to-day details often divert attention from what is good for the company. Conflicts in priorities and contention for resources combine to form a huge barrier to organizational excellence. Smaller businesses also have a narrow buffer to shelter customers from error and waste. In a small business, quality planning and business planning are synonymous. The best time to start a quality program is during the initial planning for the business when designing quality into product and service delivery is essential. Integrating quality into an existing company culture is more difficult, but no less critical. Smaller businesses have certain advantages over larger ones: • Small businesses can move more quickly because innovative ideas are approved and developed at a faster pace. • Communication channels are shorter and simpler. A QUALITY BASICS
Business-led regeneration of deprived areas: a review of the evidence base. [Research report 5]

With the growing interest in the role of businesses in regeneration, CEEDR carried a review of the evidence relating to business-led regeneration in deprived areas. The study examined the impact of conventional and social enterprises on deprived areas and examined the evidence relating to different types of policies which have had an influence on business development in deprived areas. Lessons were identified on effective ways to encourage and stimulate business development in regeneration programmes and gaps in the knowledge base examined.
Conditional Process Analysis in Two-Instance Repeated-Measures Designs

Conditional process models are commonly used in many areas of psychology research as well as research in other academic fi? elds (e.g., marketing, communication, and education). Conditional process models combine mediation analysis and moderation analysis. Mediation analysis, sometimes called process analysis, investigates if an independent variable influences an outcome variable through a specific? c intermediary variable, sometimes called a mediator. Moderation analysis investigates if the relationship between two variables depends on another. Conditional process models are very popular because they allow us to better understand how the processes we are interested in might vary depending on characteristics of different individuals, situations, and other moderating variables. Methodological developments in conditional process analysis have primarily focused on the analysis of data collected using between-subjects experimental designs or cross-sectional designs. However, another very common design is the two-instance repeated-measures design. A two-instance repeated-measures design is one where each subject is measured twice; once in each of two instances. In the analysis discussed in this dissertation, the factor that differentiates the two repeated measurements is the independent variable of interest. Research on how to statistically test mediation, moderation, and conditional process models in these designs has been minimal. Judd, Kenny, and McClelland (2001) introduced a piece-wise method for testing for mediation, reminiscent of the Baron and Kenny causal steps approach for between-participant designs. Montoya and Hayes (2017) took thispiece-wise approach and translated it to a path-analytic approach, allowing for a quanti? cation of the indirect e? ect, more sophisticated methods of inference, and the extension to multiple mediator models. Moderation analysis in these designs has been described by Judd, McClelland, and Smith (1996), Judd et al. (2001), and Montoya (in press). However, the generalization to conditional process analysis, or moderated mediation, remains unknown. Describing this approach is the purpose of this dissertation.
Les modes de coordination au sein de réseaux d'innovation

Topic of interest : Modes of coordination, by reducing uncertainty and opportunistic behaviour,are essential in innovation networks. Indeed, these organizationals forms are particularly conducive to the exchange of information and transfer of know-how, which promotes opportunistic behaviour. In addition, the often tacit knowledge and the low level of predictability of results generate a high uncertainty. Thesis defended : Modes of coordination within a network of innovation vary according to a set of variables (the stage) and they influence the advancement of the project. Method : Seven innovation networks have been studied over a period of 12 to 15 months. 57 interviews were conducted and a large amount of secondary data was collected (internal partnership contracts, minutes of meetings, email /externs : website and news articles). To deal with these data, we conducted a manual thematic coding. Main results : Our empirical research shows that the coordination methods (trust, level of formality, distribution of results, safeguards against opportunistic behaviour and conflict resolution) vary according to three key variables : (1) the degree of dependence of the hub firm on the members of its network, (2) the existence of previous relations between the hub firm and the other companies and (3) the type of conflict if any exists. Contrary to the initial assumption that the phases of advancement directly affect the choice of a coordination mechanism, the results show that the coordination mechanisms change according to the resource needs of the hub firm that affect its degree of dependence on the others.
Smart Building Networks

This paper gives insight into the paradigm of Smart Grid with focus on the smart building as its fundamental part. After a theoretical description of a current grid? s evolution to smart form as well as basic features and functionalities of a smart building, a draft model of the building has been developed in the AnyLogic program. It simulates the behaviour of a smart building and possibilities it can provide to the grid through various scenarios. In the end, a cost and benefit analysis has been conducted to show expenses and revenues in case of implementing a smart house at different locations (Norway and Croatia), and profitability of such a project. This assignment is realised as a part of the collaborative project "Sustainable Energy and Environment in Western Balkans" that aims to develop and establish five new internationally recognized MSc study programs for the field of "Sustainable Energy and Environment", one at each of the five collaborating universities in three different WB countries. The project is funded through the Norwegian Programme in Higher Education, Research and Development in the Western Balkans, Programme 3: Energy Sector (HERD Energy) for the period 2011-2013.
A car following model based on the Lighthill-Whitham theory

This work presents a car-following model. The proposed car-following model is intended to be a microscopic version of the continuity equation. First of all, a linear speed-distance curve is assumed for the Lighthill-Whitham model. The resulting model turns out to be the well-known linear car-following model proposed by Chandler et al (1958). Next, the results obtained for a linear speed-distance relationship as stationary solution, are extended for a generic nonlinear speed-distance curve. In this case, the reaction time becomes a function of the distance between vehicles. When the car-following model is written in a particular set of dimensionless variables, the resulting dimensionless car-following model does not contain any parameter. Finally, an algorithm for the nonlinear car-following model is developed. The results show that the algorithm for the nonlinear car-following model yields solutions that agree with those given by the Lighthill-Whitham model with the same speed-distance curve. (A) For the covering abstract see IRRD 886400.
INTEGRATED RETINAL INFORMATION SYSTEM FOR ANALYZING KIDNEY CONDITION

Iridology is a science and practice that can express body state based on the analysis of iris structure. The changes or disturbances of disease on body network will be informed by neuron nerve fiber to brain. This energy wave information spread to eye by brain, recorded and fixed by pupil.Then, these recorded fixation become data trails which can be detected by disturbance/disease that is filed by body organ. The research about iridology to analyzing kidney condition has been conducted before using Learning Vector Quantization (LVQ) method. The accuracy is not 100%. In this research, the researcher implements Support Vector Machine(SVM) in classifying the kidney condition to replace LVQ using Matlab R2007b. The accuracy in classifying the kidney condition for right eyes is 100% and for the left eyes is 100% in training set data. If we compared to the accuracy of classification using LVQ, implementing SVM is much better because by implementing LVQ, the accuracy is only 96% for right eyes and only 92% for left eyes.
TEACHING FINITE ELEMENT ANALYSIS FOR DESIGN ENGINEERS

The Finite Element Analysis (FEA) is becoming increasingly popular among design engineers using it as one of many product design tools. Safe and cost efficient use of FEA as a product design tool requires training, different from that presently found in undergraduate curriculum of mechanical engineering students. The specific requirements of design engineers for training in the field of FEA have been addressed by the author in a number of professional development courses in FEA, catering specifically to the needs of design engineers. This paper discuses tools and methods used in the development and delivery of these courses and their applicability to the undergraduate courses taught in Canadian Engineering schools.
Extensional flow of blood analogue solutions

Human blood is a fluid of complex rheology whose characteristics are enhanced in small vessels. We studied experimentally the flow of two different blood analogue solutions with non-Newtonian characteristics and a reference Newtonian fluid (deionized water) through hyperbolic contractions followed by abrupt expansions. The viscoelastic fluids used as blood analogues are aqueous solutions of polyacrylamide (PAA, 125 ppm w/w) and of xanthan gum (500 ppm w/w), which have a shear rheology similar to that of human blood [1]. The microgeometries used have a hyperbolic shape in order to achieve a highly extensional flow in which the fluid experiences a nearly constant strain rate at the centerline of the microchannel [2]. In addition to the rheological characterization of the fluids in shear and extensional flow, visualizations of the flow patterns using streak line photography and pressure drop and flow rate measurements were also carried out. The viscoelastic fluids exhibit a complex flow behavior that is considerably different from the Newtonian fluid flow case. For the Newtonian fluid, inertia leads to the onset of recirculations downstream of the abrupt expansion while for the viscoelastic fluid flow, symmetric vortices appear upstream of the contraction due to the elastic nature of the polymeric solution. The size of these elastic-driven vortices increases with the flow rate (Deborah number), but is significantly different for the two blood analogue solutions, with the PAA solution exhibiting a much stronger elastic behavior. These observations clearly demonstrate that matching the shear viscosity alone is not sufficient to manufacture a blood analogue solution.
Insider Detection by Process Analysis

The insider threat is one of the most pernicious in computer security. Traditional approaches typically instrument systems with decoys or intrusion detection mechanisms to detect individuals who abuse their privileges (the quintessential insider ). Such an attack requires that these agents have access to resources or data in order to corrupt or disclose them. In this work, we examine the application of process modeling and subsequent analyses to the insider problem. With process modeling, we first describe how a process works in formal terms. We then look at the agents who are carrying out particular tasks, perform different analyses to determine how the process can be compromised, and suggest countermeasures that can be incorporated into the process model to improve its resistance to insider attack.