Miracle-dz/UniFAR-FTUs huggingface dataset:
Signal detectability in SS-BSAR with GNSS non-cooperative transmitter

The power budget analysis is considered for signal detection in bistatic synthetic aperture radar, with global navigation satellite systems acting as non-cooperative transmitters. The signal detection is analysed against thermal noise, in addition to interferences introduced by the transmitting satellites sharing the same frequency bands. Two basic configurations are considered: the radar receiver is on an aeroplane; and positioned stationary on the ground.
A survey of time synchronization of wireless sensor networks

Wireless sensor networks have experienced world-wide explosive interests in recent years, which consist of large populations of wirelessly connected nodes, capable of computation, communication, and sensing. Sensor nodes cooperate in order to merge individual sensor readings into a high-level sensing result, such as integrating a time series of position measurements into a velocity estimate. The physical time of sensor readings is a key element in this process called data fusion. Hence, time synchronization is a crucial component of WSNs. We argue that time synchronization schemes developed for traditional networks are illsuited for WSNs and suggest more appropriate approaches.
Extension of Transonic Flow Computational Concepts in the Analysis of Cavitated Bearings

An analogy between the mathematical modeling of transonic potential flow and the flow in a cavitating bearing is described. Based on the similarities, characteristics of the cavitated region and jump conditions across the film reformation and rupture fronts are developed using the method of weak solutions. The mathematical analogy is extended by utilizing a few computational concepts of transonic flow to numerically model the cavitating bearing. Methods of shock fitting and shock capturing are discussed. Various procedures used in transonic flow computations are adapted to bearing cavitation applications, for example, type differencing, grid transformation, an approximate factorization technique, and Newton's iteration method. These concepts have proved to be successful and have vastly improved the efficiency of numerical modeling of cavitated bearings.
High Powered Plyometrics

Plyometrics is an essential part of strength and conditioning programs for the top athletes in nearly every sport. "High-Powered Plyometrics" provides the most systematic, comprehensive, and practical study of plyometrics available and can give you performance gains you never thought possible through 77 advanced exercises for explosive sports training.This book gives you a complete plyometric-based training program that really works. No matter what your sport, the practical and effective training regimen presented will give you the greater speed and power components you need to succeed. Progressive training programs also allow you to adjust the level and intensity according to your needs. "High-Powered Plyometrics" takes you step-by-step through high-level plyometric training, beginning with an understanding of the principles of how and why plyometrics works. It details proper training techniques and equipment, safety and injury prevention, and targeted training drills to develop your lower, middle, and upper body. You also get advanced tips to take you to the elite stages of training with discussions on periodization, long-term planning, and progression training. More than 350 photos-most presented sequentially-make the concepts, descriptions, and explanations easy to understand.These principles have worked for hundreds of elite athletes, including intercollegiate and professional football and basketball players, world-class volleyball players and cross-country skiers, professional and Olympic cyclists, marathon runners, and athletes of all ages. They will give you the explosive power you need to compete at a high level in almost any sport. If you want to go beyond basic conditioning, "High-Powered Plyometrics" gives you everything you need to surge past the competition.
Towards learning approaches of engineering students studying mathematics and the validity of approaches and study skill inventory for students

Educational success is mainly based on the formation of effective learners. Students’ learning is affected by several variables, such as intelligence, motivation, teaching and learning approaches. Research showed that approaches to learning are among one of the most important variables that influence students’ learning quality. They are related to how students experience and organize the subject matter of a learning task. It is important to understand what and how students learn, rather than how much they remember. This paper aims to test the validity of the Turkish version of the Approaches and Study Skill Inventory for Students (ASSIST), which explores the types of learning approaches (deep surface or strategic), applied to the first-year undergraduate engineering students having mathematics as a compulsory course at Istanbul Technical University. Validation has been done by explanatory factor analysis. Afterwards, the relationship between the learning approaches and extracurricular factors is critiqued. For this purpose, the association between the language of the subject (English or Turkish) and the students’ learning approaches are investigated. Similarly, the relationship between learning approaches and parental education level as well as high school type is examined. Correlations between learning approaches conceptions of learning and teaching types are also tested.
Performance and reliability test of MEMS optical scanners

MEMS scanners are among the devices which have been investigated since the very beginning of MEMS development. The main concern of this paper is to report and discuss suitable measurement techniques and to compare and verify this methods on different scanners for examples. Analysis of scanner reaction based on image processing is covered in a first section. It is shown that an Electronic Speckle Interferometer (ESPI), a Scanning Laser Doppler Interferometer (SLDI) and a phase shift interferometer are suitable for measuring different motion characteristics. The SLDI is used for rapid measurement of FRF at a large number of locations at the scanner. A phase shift interferometer with stroboscopic illumination has been utilized for measuring the deformation of scanners operating them at resonant frequency. Measurement of static displacement and of thermal deformation is the main application of ESPI technique and shown on the example of a galvanometric scanner. A next section is dedicated to functional tests and to qualification of methods for wafer level test. The application of a tilt angle measuring set up containing a position sensitive semiconductor device and a laser diode and of a laser Doppler interferometer is analyzed. Measurement of resonant frequencies in an early production state is the topic of a third section. It provides information about geometry properties of the scanners suspension and about mechanical stress inside suspending torsion or bending beams. Moreover it enables selection of scanner chips with characteristics which do not meet the specification and the cost for packaging of this bad dies is saved.
Humanitarian Intervention, Health Behavior and Health Outcomes in Conflict Affected North East Nigeria: A Cross Sectional Survey Study

Background: The study explores the health behavior and outcomes (bathing, diarrhea, and sickness) of children who benefitted from a WASH package intervention, children who benefitted from a non-WASH sectoral form of intervention and children with no form of humanitarian intervention in conflict-affected communities in Northeastern part of Nigeria. Methods : We analysed data collected through a pretested questionnaire administered to a randomly selected sample of 385 children aged 7 to 18 years living within six conflict-affected communities using descriptive and regression analysis. Results : 39.4% of children from households that benefitted from WASH intervention had good environmental hygiene as compared to children from households with no humanitarian intervention (10.5%) and children who had benefited from the non-WASH related intervention (10.3%). We found that environmental hygiene is positively related to all outcomes measured. Study results also indicate that food security and socioeconomic status are associated with the frequency of sickness of internally displaced children. However, we found no significant difference in health outcomes across the intervention groups. Conclusion : Findings suggest the need for children-oriented WASH programming with an emphasis on environmental hygiene for households and communities. We also confirm existing evidence on the importance of integrated multi-sectoral humanitarian interventions in improving the health of crisis-affected children.
Spatial-Temporal Changes in Removal of Fecal Indicators and Diversity of Bacterial Communities in a Constructed Wetland with Ornamental Plants

The present study was undertaken in a constructed wetland (CW), setup in a tourism house, for domestic wastewater treatment. The influence of season variations on the abundance of fecal indicator organisms (total coliforms and Escherichia coli) in the wastewater and in the substrate and the roots of plants inhabiting the inlet and outlet zones of the CW was evaluated along three consecutive years. The structure and diversity of bacterial communities associated to the CW’s substrate of inlet and outlet zones was also analyzed overtime. Wastewater was characterized for physicochemical and microbiological parameters and the bacterial communities colonizing the substrate surface, were analyzed by Denaturing Gradient Gel Electrophoresis (DGGE). The CW was effective in removing COD, BOD5, TSS, PO43−, NH4+, NO3−, and NO2−. It was also effective in removing fecal indicators, with a generalized decrease of total coliforms and E. coli in the substrate and in the wastewater from inlet to outlet of up to 2–3 log. The structure and composition of bacterial communities associated with the substrate was mainly influenced by the year rather than by the season or the CW zone.
MANURE AS A RESOURCE — ECOLOGICAL AND ECONOMIC CONSIDERATIONS IN BALANCE

Nutrients in manure constitute an ecological and economic liability if managed as a waste for disposal. However, nutrients are the source of economic benefit when managed as a resource. By combining economic and ecological analyses, the ecological benefits of nutrients in manure are conserved, their economic value is captured, and both ecological and economic goals can be met. We derived a simple model to define the conditions required for manure to be recycled effectively and transported economically. The basic premise of the model is that ecological and economic considerations must be in balance at steady state for manure nutrient management to be sustainable. The model combines the cost of processing and transportation, the value of the crop yield response to the manure product and the steady state capacity of the land to recycle macronutrients. The model predicts that processing, to increase macronutrient content or to decrease unit transportation cost, and use of manure products on high value crops could permit break-even distribution distances for some manure products of more than 300 km. We then used estimates of manure and crop production in Alberta to calculate municipal N and P balances to determine the distance of distribution required to use manure effectively (municipality as used here is analogous to county in many parts of the world). In 1991, municipalities with manure nutrients in excess of that harvested as grain were adjacent to municipalities with nutrient deficits. We conclude that (1) equating ecological and economic aspects of manure distribution is feasible and may enhance the profitability of agriculture, and (2) improved effectiveness in the use of manure resources may be achieved by nutrient conservation and harvesting, processing to increase nutrient retention and reduce transport costs, and application technologies to increase crop response to nutrients in manure products.
Talent Identification and Development in Sport

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Measurement of windage heating effects on high-speed rotating disks using ESPI

Real-time analysis of component deformation under service conditions would form the optimum experimental optical technique. Approaching this ideal is pulsed laser electronic speckle pattern interferometry (ESPI) which can provide in-plane displacement information from high speed rotating components over a wide range of rotational speeds with tangential velocities currently up to 300 m s-1. With the rapid advancement of computers, the Fourier transform method of analysis of interference fringe patterns for full field information has been reduced to just a few minutes. The testing of high speed discs in air, with particular reference to gas turbine disc behavior has provided the ability to display the effects of windage heating of the discs, in addition to changes of speed. The technique is sufficiently accurate to record both short term differential heating across the disc, as well as the longer term overall growth.
Juran's Quality Handbook

Contributors. Preface to the Fifth Edition. How to Use the Handbook. How to Think About Quality. The Quality Planning Process. The Quality Control Process. The Quality Improvement Process. Process Management. Quality and Income. Quality and Costs. Measurement, Information, and Decision-Making. Computer Applications to Quality Systems. The ISO 9000 Family of International Standards. Benchmarking. Strategic Deployment. Total Quality Management. Human Resources and Quality. Training for Quality. Project Management and Product Development. Market Research and Marketing. Quality in Research and Development. Software Development. Operations. Inspection and Test. Job Shop Industries. Customer Service. Administrative and Support Operations. Process Industries. Quality in a High Tech Industry. Automotive Industry. Travel and Hospitality Industries. Government Services. Health Care Services. Financial Services Industries. Second-Generation Data Quality Systems. Quality and Society. Quality and the National Culture. Quality in Developing Countries. Quality in Western Europe. Quality in Central and Eastern Europe. Quality in the United States. Quality in Japan. Quality in the People's Republic of China. Quality in Latin America. Basic Statistical Methods. Statistical Process Control. Acceptance Sampling. Design and Analysis of Experiments. Reliability Concepts and Data Analysis. Appendix I-Glossary of Symbols and Abbreviations. Appendix II-Tables and Charts. Appendix III-Selected Quality Standards, Specifications, and Related Documents. Appendix IV-Quality Systems Terminology. Appendix V-Quality Improvement Tools. Name Index. Subject Index.
Barnyard Politics: A Decision Rationale Representation for the Analysis of Simple Political Situations

How can a computational system understand decisions in the domain of politics? In order to build computational systems that understand decisions in the abstract political space, we must first understand human decision-making and how human beings, in turn, are able to understand ideas in abstract realms such as politics. The work of Jintae Lee attempted to address the problem of understanding decision rationales in a non-domain specific way. His work falls short, however, when applied to decision problems in politics. I present a new representation, the Augmented Decision Rationale Language (ADRL) that attempts to address the shortcomings of Lee’s work in this regard. ADRL expands Lee’s vocabulary of relations to include forms of causation such as enablement and gating. ADRL also refines the relations and primitives of Lee’s representation and focuses primarily on States, Actions and Goals as the basic units of decisions. Finally, ADRL grounds itself in spatial understanding using the Lexical Conceptual Semantics of Jackendoff, in contrast to the DRL, which ignores the text associated with a decision rationale. An implementation of a subset of this representation is displayed, along with a matcher that is able to create analogies between two decision scenarios cast in the representation. The matcher is presented an existence proof that this representation can be used to readily structure decision scenarios and make analogies between them. Thesis Supervisor: Patrick H. Winston Title: Ford Professor of Artificial Intelligence and Computer Science
Multiresolution Data Fusion Algorithm for Aerospace Applications

Neural network based data fusion techniques are becoming increasingly popular for quantifying corrosion in aircraft lap joints because of their accuracy and ability to learn the mapping between measurements and the corresponding wall thickness. However, this approach to data fusion is slow and less robust because of high input dimensionality. This paper proposes a multiresolution based data fusion algorithm to improve the performance of corrosion quantification in aircraft lap joints. The proposed algorithm reduces the dimensionality of the input and improves the robustness of the network by separating fusion and corrosion characterization operations. Initial results validate these claims and indicate the feasibility of the algorithm.
A Virtual Human's Driving Method Based on Motion Capture Data

This article gives a method about driving a virtual human by motion capture data in software Jack. Firstly simplify Jack's skeleton model according to the skeleton of capturing data BVH. Secondly set up an Euler angle rotation equation to mapping joint angles between BVH and Jack. Finally, program the method and give an example to show that it is available to improve Jacks human motion simulating by the human capturing data.
High Triglyceride-Glucose Index is Associated with Poor Cardiovascular Outcomes in Non-Diabetic ACS Patients with LDL-C Below 1.8mmol/L

Background: To evaluate the prognostic value of triglyceride glucose (TyG) index in non-diabetic acute coronary syndrome (ACS) patients with low-density lipoprotein cholesterol (LDL-C) below 1.8mmol/L.Methods: A total of 1655 non-diabetic ACS patients with LDL-C below 1.8mmol/L were included in the analysis. Patients were stratified into 2 groups. Incidence of acute myocardial infarction (AMI), infarct size in patients with AMI, and major adverse cardiac and cerebral event (MACCE) during a median of 35.6-month follow-up were determined and compared between the 2 groups. The TyG index was calculated using the following formula: ln [fasting triglycerides (mg/dL) ×fasting plasma glucose (mg/dL)/2]. Results: Compared with the TyG index <8.33 group, the TyG index ≥8.33 group had significantly higher incidence of AMI (21.2% vs. 15.2%, p =0.014) and larger infarct size in patients with AMI (pTNI: 10.4 vs. 4.8 ng/ml, p =0.003; pCKMB: 52.8 vs. 22.0 ng/ml, p =0.006; pMyo: 73.7 vs. 46.0 ng/ml, p =0.038). Although there was no significant difference in mortality between the 2 groups, the incidence of revascularization of TyG index ≥8.33 group was significantly higher than that of TyG index <8.33 group (8.9% vs. 5.0%, p =0.035). Multivariable Cox regression revealed that the TyG index was positively associated with revascularization [HR (95% CI): 1.67 (1.02,2.75), p=0.043]. Conclusion: In non-diabetic ACS patients with LDL-C below 1.8mmol/L, the high TyG index level was associated with higher incidence of AMI, larger infarct size, and higher incidence of revascularization. The high TyG index level might be a valid predictor of subsequent revascularization.Trial registration: retrospectively registered.
Design and construction of seamless pavement on Westlink M7, Sydney, Australia

In contemporary practice continuously reinforced concrete pavements (CRCP) are terminated and anchored at each bridge approach. An approach slab, jointed at each end, provides the CRCP to bridge abutment link. This transition is not always smooth as the provision of transverse joints can lead to discontinuities in the carriageway profile, particularly if the approach embankment settles. The seamless pavement is an enhancement that eliminates transverse joints and provides a reinforced concrete connection between the CRCP and the bridge deck. This results in improved ride quality for highway users and reduced maintenance costs. Additionally, it eliminates the need for pavement anchors behind each abutment, thereby reducing the pavement cost and minimizing construction activities in an area that is generally on the critical path. The seamless connection between CRCP and bridge deck must accommodate the stresses induced by shrinkage, creep, thermal strain, embankment settlement and traffic loads. Numerical models developed to analyze these parameters compare well with the results of post construction monitoring. This correlation has confirmed the validity of initial design assumptions and has, through further development, resulted in a simplified construction method for the closure pour.
Highly efficient fiber four-wave mixing without idler spectral broadening by binary phase-shift-keying modulation of pump wave

A novel scheme for highly efficient CW-pumped fiber four-wave mixing is proposed and demonstrated. In this scheme, binary phase-shift-keying (BPSK) modulation of the pump wave broadens the pump spectrum so that the Brillouin threshold for the pump power is increased, whereas it never affects the spectrum of the idler wave.
Research of Professional of the Classification and Segmentation of Computed Tomography Brain Images

Subsequent to the process of classification, the more prevalently used part in most of the applications of image processingand computer vision is the image segmentation. The entire study concerning the Computed Tomography(CT) holds image segmentation as a very essential or even an inevitable part in classifying the different kinds of tumor in the different levels. Once classification of the parts or portions in the images as tumorous and non-tumorous is over, what follows next is the process of segmentation of the tumor regions in the CT images and it is the proposed methodology that takes the entire care of these both, classification and segmentation as well. For the purpose of classifying, the Support Vector Machine (SVM) with various parts and advancement systems is placed into utilization. At the point when it adds up to arrangement and improvement, the SVM with SMO appreciates an unmistakable power over different approachs in the investigation of grouping process. Following the characterization procedure, the MRG with limit advancement satisfies the division procedure. Concerning the edge advancement, certain calculations like HS,EP, Gray WolfOptimization (GWO) and Lion Algorithm (LA) are brought into utilization. The outcomes are shown with the assistance of a wide arrangement of execution measures. The near examination as far as affectability, explicitness and precision is directed in the enhancement procedures mentioned earlier. The implementation of the proposed methodology takes place on the working platform of MATLAB.