Miracle-dz/UniFAR-FTUs huggingface dataset:
Realistic Simulation and Control of Human Swimming and Underwater Movement

We present a multiphysics framework for the realistic animation of human swimming that features a comprehensive biomechanical model of the human body immersed in simulated fuid. Our human model includes all of the relevant articular bones and muscles, including 103 bones (comprising 163 articular degrees of freedom) plus a total of 823 muscle actuators embedded in a finite element model of the the soft tissues of the body that produces realistic deformations. A main focus of this thesis is the control of this complex biomechanical model. To coordinate the numerous muscle actuators in order to produce natural swimming movements, we develop a biomimetically motivated motor control system based on Central Pattern Generators (CPG), which learns to produce activation signals that drive the Hill-type muscle actuators. In addition, we introduce an optimization based control method that enables our human model to achieve non-locomotion, task-oriented movements, such as changing the orientation of the body in the water.
LAMINATED COMPOSITES BUCKLING ANALYSIS USING LAMINATION PARAMETERS, NEURAL NETWORKS AND SUPPORT VECTOR REGRESSION

This work presents a metamodel strategy to approximate the buckling load response of laminated composite plates. In order to obtain representative data for training the metamodel, some laminates with different stacking sequences are generated using the Latin hypercube sampling plan. These stacking sequences are converted into lamination parameters so that the number of inputs of the metamodel becomes constant. The buckling load for each laminate of the training set are computed using finite elements. In this way the inputs-outputs metamodel training pairs are the lamination parameters and the corresponding bucking load. Neural network and support vector regression metamodels are employed to approximate the buckling load. The performances of the metamodels are compared in a test case and the results are shown and discussed.
Optical fiber temperature sensors for cryogenic applications

In this work studies are conducted to develop a cryogenic temperature sensor using Fiber Bragg Gratings (FBG). Since bare FBG sensors only show sensitivity as temperature sensors above 80 K, coating techniques were used to increase the performance of these sensors at temperatures as low as 20K. The coating materials used in this project were metals like Mercury, Indium, Lead and Tin, all chosen due to their high Coefficient of Thermal Expansion in the temperature range between 20 and 80K. In order to promote adhesion between the fiber and the coating, thin layers of Chromium and Titanium were deposited over the fiber. These metals were chosen due to their particular high adhesion to the fiber and high Young’s Modulus (E). Several deposition techniques were tested as coating methods, among them the Electron Beam Deposition proved to be the best technique to deposit the thin film buffers while casting proved to be the technique with the best results for the external coatings, due to the low melting points of the used metals. All sensors created were tested and thermally trained between 4.2 and 80K and underwent calibration on a standard facility. Sensitivities of 14 pm/K were reached at 20K with some sensors. This sensitivity is high enough for the measuring equipment used (FS2200 BraggMETER) that has a resolution of 1pm, being thus our results very promising. Faculty of Sciences of the University of Porto Optical fiber temperature sensors for cryogenic applications 5
Emerging Foodborne pathogens and the food industry

Abstract: Implementation of effective food safety control measures requires a thorough understanding of the biological hazards relevant for the products that are being manufactured. This is not only true for well-known pathogens which may over time have adapted to control measures currently in place, but it is also important for emerging pathogens which may become a threat. This knowledge will then allow for an assessment of whether existing control measures are effective or whether modifications are necessary. This chapter will discuss the factors contributing to the emergence of new pathogens and the sources of information used in recognizing and defining their emergence. More importantly, the management options leading to the application of effective control measures for these food safety hazards will also be reviewed.
First-order nonlinear eigenvalue problems involving functions of a general oscillatory behavior

Eigenvalue problems arise in many areas of physics, from solving a classical electromagnetic problem to calculating the quantum bound states of the hydrogen atom. In textbooks, eigenvalue problems are defined for linear problems, particularly linear differential equations such as time-independent Schrödinger equations. Eigenfunctions of such problems exhibit several standard features independent of the form of the underlying equations. As discussed in Bender et al (2014 J. Phys. A: Math. Theor. 47 235204), separatrices of nonlinear differential equations share some of these features. In this sense, they can be considered eigenfunctions of nonlinear differential equations, and the quantized initial conditions that give rise to the separatrices can be interpreted as eigenvalues. We introduce a first-order nonlinear eigenvalue problem involving a general class of functions and obtain the large-eigenvalue limit by reducing it to a random walk problem on a half-line. The introduced general class of functions covers many special functions such as the Bessel and Airy functions, which are themselves solutions of second-order differential equations. For instance, in a special case involving the Bessel functions of the first kind, i.e. for y′(x) = J ν (xy), we show that the eigenvalues asymptotically grow as 241/42 n 1/4. We also introduce and discuss nonlinear eigenvalue problems involving the reciprocal gamma and the Riemann zeta functions, which are not solutions to simple differential equations. With the reciprocal gamma function, i.e. for y′(x) = 1/Γ(−xy), we show that the nth eigenvalue grows factorially fast as (1−2n)/Γ(r2n−1) , where r k is the kth root of the digamma function.
Edge wave response to a modulating incident wave field

Approved: Robert A. Holman Modulations in wave height of oceanic sea and swell cause momentum transfer to the water column at group (infragravity) time and space scales, on the order of 1O21O3 s and 1O21O3 m. In the surf zone, this momentum flux arises principally through dissipation of incident wave energy by breaking. In this thesis, the generation of low frequency waves by the spatial and temporal modulations of breaking incident waves is addressed first, followed by field estimates of the time and space scales of wave breaking distributions. Lastly, nearshore sand bar behavior, linked theoretically to infragravity waves, is investigated over a five year period. A theoretical forcing mechanism for driving resonant, longshore progressive edge waves is derived from the momentum equations. Forcing within the surf zone is examined through group scale modulations in incident wave dissipation by depthlimited brealdng. The nonlinear forcing, provided by the unbalanced temporal variations in radiation stress gradients, is shown to be comparable to previous offshore forcing theory. Initial surf zone growth rates are predicted and found to be rapid, with edge wave amplitudes growing to the size of the incident waves on the order of 10-20 edge wave periods (much faster than other model predictions). However, in nature these Redacted for privacy rates will be reduced by the stochastic behavior of real ocean waves. Finally, the total forcing (including surf zone and offshore contributions) introduces structure into the infragravity band of the forcing spectrum, providing an additional frequency selection mechanism necessary for the generation of nearshore sand bars. The time and space scales of wave breaking across a naturally barred beach are estimated. Field data are obtained on narrow banded (in both frequency and direction) day during the DELILAH experiment. Integral to this work is a new video based sampling technique, which is shown to quantify the modulation scales of wave breaking distributions. The technique is based on the contrast between the lighter intensity of foam and bubbles of actively breaking waves and bores, and the darker unbroken surrounding water. Video image time series are compared with fixed surf zone arrays of sea surface elevation and bi-directional current. Principal results indicate that the important breaking processes, in terms of temporal and spatial phase, can be quantified. At incident frequencies, the phase speed and incidence angle of breaking waves are in good agreement with in situ instrumentation. At lower frequencies, breaking wave distributions seaward of the bar crest are associated with wave groups progressing landward at the group velocity. Analysis of longshore length scales indicate group forcing to be broad-banded across frequency-wavenumber space. Interestingly, no coherence was found between group forcing and the infragravity free wave response, suggesting that the nearshore is a high Q (resonant) system. Edge Wave Response to a Modulating Incident Wave Field
Monitoring dosimetric parameters for vascular-targeted photodynamic therapy

Vascular-targeted photodynamic therapy (V-PDT) offers great promise as a treatment modality for vascular-related diseases. The injury of targeted blood vessels correlates to the singlet oxygen generation, which is affected by dosimetric parameters, including photosensitizer concentration, hemoglobin oxygenation concentration, and blood flow velocity. In this study, we developed an optical imaging system that combining hyperspectral imaging (HSI), dual-wavelength reflection imaging (DWRI) (λ1 = 500 nm and λ2 = 660 nm) and laser speckle imaging (LSI). The capability for monitoring dosimetric parameters has been demonstrated for in vivo imaging of hemoporfin-mediated V-PDT in a dorsal skinfold window chamber model. The HSI allows for simultaneously monitoring the changes of photosensitizer concentration and vasoconstriction of blood vessels, while the DWRI and LSI were used to measure hemoglobin oxygenation concentration and blood flow velocity, respectively. This study suggests that our home-built optical imaging system holds the potential for assessing the V-PDT efficiency in vivo and optimizing the treatment protocol.
Identification of influential promotion decision determinants for advancement to first-level manufacturing supervisor

Promotion is an important element in today’s work environment from the perspective of employees, managers, and human resource development professionals. This study advanced the understanding of promotion by identifying and describing the critical determinants, as perceived by the decision-makers, leading to the advancement of employees to first-level manufacturing supervisor positions. The study utilized two data acquisition phases. Phase one of the study’s data acquisition component utilized semi-structured interviews with highly experienced managers in the manufacturing supervisor promotion process. Phase two employed an online survey. The purpose of the latter was to acquire expert testimony that would accurately delineate determinants critical to the decision-making process. The survey required these managers to (a) rate the list of determinants using a Likert scale and (b) compare each determinant to its complements in each Likert scale category and rate on a scale of 0 to 100% its influence on the promotion decision. Utilizing the median ranking for each determinant, the most influential determinants were found to be (1) demonstrates character, integrity, and trustworthiness; (2) accomplishes tasks, productive, energetic; (3) appropriate attitude toward peers, subordinates, and superiors team player, works well with others; (4) good people management skills, uses authority wisely, builds relationships and cares about individuals; and (5) seeks assistance when needed recognizes issues that must be handled, especially those that should include other
Betula HUC with Terminal Mode - A Terminal Mode implementation and evaluation

This report deals with the concept Terminal Mode, which is a recently developed standard by Nokia and Consumer Electronics for Automotive for connecting mobile phones to displays and input devices. The concept aims to be an industry standard for integration of mobile applications with the car environment. The master thesis project will implement a Terminal Mode client and the report will deal with the different parts needed to create a Terminal Mode client. Terminal mode is capable of using different physical transport methods but in this report only USB is considered, the reason for this was that the not fully developed Terminal Mode server prototype phone provided by Nokia only supported USB. FPS measurements were made but the results were not satisfying because there was a limitation in the prototype device. The report ends with a deep analysis of the standard. The analysis main focus is on security mechanisms in the protocol but also other systems with the same purpose as Terminal Mode is analyzed and compared. The outcome of the analysis was that Terminal Mode is secure if the security mechanisms are used correctly and that Terminal Mode can become a leading standard for enabling apps in the car. The big question is if car manufacturers will trust the classification of applications made by the smartphone manufacturers and if the customers want to pay for these features.
Main physical environmental drivers of occupant behaviour with regard to space heating energy demand

Several studies have highlighted the significant gap between the predicted energy performance of buildings and their measured actual performance. Uncertainties regarding behaviour of building occupants are one of the key factors limiting the ability of energy simulation tools to accurately predict real building energy requirements . The paper focuses on the particular topics of space heating energy demand related to the occupants habits of adjusting heating set-points. The parameters influencing the user interaction with the heating control system are analyzed in literature for residential buildings, and the resulted influencing factors are illustrated. Statistical analysis of data coming from measurement carried out in Danish dwellings are performed to infer the probability of adjusting the thermostatic radiators valves and to determine the relationship between the (indoor and outdoor) environmental conditions and the occupants' heating set-point preferences. The paper aims at providing a reliable basis for a more accurate description of control action models in performance simulation applications
CloSpan Sequential Pattern Mining for Books Recommendation System in Petra Christian University Library

Petra Christian University (PCU) Library has been using website for their books search system. To further improve the service, it is necessary to develop the automatic system which can recommends the book or the correlation or the book which often being lend at the same time or sequentially by prospective borrowers. The algorithm used to explore the lending sequential patterns is CloSpan Sequential Mining algorithm. The output generated by this application is closed sequential pattern rules and the tree of sequential patterns. They can be used as a reference to establish a list of recommended related books. From the test results it can be concluded that the more data and smaller minimum support, the longer the process takes, and the more patterns that is produced. From the questionnaire outcome that are distributed to employees and users of the library can be concluded that the system can create right recommendations and useful.
Sweden/Michigan naturalistic field operational test - phase 1 : benefits of origin and destination information in IntelliDrive data sets

Trip origin and destination (O‐D) data play a crucial role in various transportation activities. This information not only includes the starting and end points of a trip, but also information that can be obtained through the ability to track vehicles across a network. Collected information may include the location and speed of a vehicle every second, a record of the links entered during a journey, the time a vehicle has entered each link, the time taken to travel a link, etc. Despite some recognized benefits, there are still concerns, primarily related to privacy, about whether or not probe vehicles should be allowed to collect O‐D trip information. Within this context, this report examines various issues associated with the potential collection of O‐D data by IntelliDrive probe vehicles. Research findings presented in the report include: an overview of current uses of O‐D data in activities related to transportation planning and system operations; a description of the methods currently used to collect or generate O‐D trip data; a description of issues associated with current O‐D data collection and generation methods, as well as how O‐D trip data are applied in transportation applications; a discussion on how O‐D information collected from IntelliDrive probe vehicles can enhance existing applications and enable the development of new applications; a discussion on the potential benefit‐cost ratio offered by the inclusion of O‐D trip information in IntelliDrive data sets; a discussion of privacy issues regarding O‐D data collection, including a review of current concerns, emerging policies regarding driver privacy in IntelliDrive systems, methods currently promoted to ensure driver privacy, impacts of promoted privacy methods on IntelliDrive applications, and methods available to mitigate privacy concerns; and a simulation study with the Paramics microscopic traffic simulation model demonstrating the benefits to individual vehicles and network operations of using O‐D data reported by IntelliDrive vehicles to provide dynamic route guidance around an incident.
FABM-NflexPD 1.0: assessing an instantaneous acclimation approach for modeling phytoplankton growth

Abstract. Coupled physical–biogeochemical models can generally reproduce large-scale patterns of primary production and biogeochemistry, but they often underestimate observed variability and gradients. This is partially caused by insufficient representation of systematic variations in the elemental composition and pigment density of phytoplankton. Although progress has been made through approaches accounting for the dynamics of phytoplankton composition with additional state variables, formidable computational challenges arise when these are applied in spatially explicit setups. The instantaneous acclimation (IA) approach addresses these challenges by assuming that Chl:C:nutrient ratios are instantly optimized locally (within each modeled grid cell, at each time step), such that they can be resolved as diagnostic variables. Here, we present the first tests of IA in an idealized 1-D setup: we implemented the IA in the Framework for Aquatic Biogeochemical Models (FABM) and coupled it with the General Ocean Turbulence Model (GOTM) to simulate the spatiotemporal dynamics in a 1-D water column. We compare the IA model against a fully dynamic, otherwise equivalently acclimative (dynamic acclimation; DA) variant with an additional state variable and a third, non-acclimative and fixed-stoichiometry (FS) variant. We find that the IA and DA variants, which require the same parameter set, behave similarly in many respects, although some differences do emerge especially during the winter–spring and autumn–winter transitions. These differences however are relatively small in comparison to the differences between the DA and FS variants, suggesting that the IA approach can be used as a cost-effective improvement over a fixed-stoichiometry approach. Our analysis provides insights into the roles of acclimative flexibilities in simulated primary production and nutrient drawdown rates, seasonal and vertical distribution of phytoplankton biomass, formation of thin chlorophyll layers and stoichiometry of detrital material.
AN UNDERGRADUATE/GRADUATE RESEARCH COLLABORATION BETWEEN UMASS AND UPRM

A direct collaboration between the University of Massachus etts - Amherst and UPR-Mayaguez in the area of Applied Electromagnetics has been steadily growing for the past five years. More than 12 UPRM students have participat ed in research activities sponsored by the Summer Undergraduate Research Experience Program (NSF-SPUR) at UMass and other UMass/UPRM funding sources. The students have specif ically participated in research projects involving microwave and mm-wave radar system design, deployment, operation, a nd data analysis using the Microwave Remote Sensing Lab (MIRSL) facilities located in UMass-Amherst. MIRSL is one of the leading US research laboratories in the design and fabrication of microwave remote sensing instruments. T he program has served to increase the interest of underreprese nted students to continue graduate studies in a Research I I nstitutions by providing UPRM undergraduate students th e opportunity to participate in summer research projects at U Mass. As a result, four graduate students have particip ated in research activities through Summer Internships at UMass, a nd they are currently pursuing their MSEE with research projects under UPRM advisors and in collaboration with U Mass. In addition, one full time PhD students and one full time MSEE student, both graduated from UPRM, are now pursu ing their respective degrees at UMass. These are the first UPR M students in more than ten years to continue graduate sin Electrical Engineering at UMass. In order to in crease this collaboration at different levels, a Memorandum of Unders tanding has been signed between both institutions. This MOU will allow UPRM students to perform research activities at the UPRM campus while pursuing a PhD degree from UMas s. This MOU will allow UPRM to have PhD level students to w ork in high-level collaborative projects between the two institutions.
Handbook of Photomask Manufacturing Technology

Foreword by Yoshio Nishi Preface, Syed Rizvi INTRODUCTION Introduction to Mask Making A.G. Zanzal MASK WRITING Data Preparation P.J.M. van Adrichem and C.K. Kalus Mask Writers: An Overview S. Babin E-Beam Mask Writers N. Saitou Laser Mask Writers C. Rydberg OPTICAL MASKS Optical masks: An Overview N. Yoshioka Conventional Optical Masks S.A. Rizvi Advanced Optical Masks W. Maurer and F. Schellenberg NGL MASKS NGL Masks: An Overview K.R. Kimmel and M. Lercel Masks for Electron Beam Projection Lithography H. Sano, S. Palmer, and M. Yamabe Masks for Extreme Ultraviolet Lithography P-Y. Yan Masks for Ion Projection Lithography S.A. Rizvi, F-M. Kamm, J. Butschke, F. Letzkus, and H. Loeschner Mask for Proximity X-Ray Lithography M. Oda and H. Yoshihara MASK PROCESSING, MATERIALS, AND PELLICLES Mask Substrate S.A. Rizvi Resists for Mask Making B. Rathsack, D. Medeiros, and C.G. Wilson Resist Charging and Heating M. Bai, D. Chu, and F. Pease Mask Processing S.A. Rizvi Mask Materials: Optical Properties V. Liberman Pellicles T. Yen, C.B. Wang, and R. Heuser MASK METROLOGY, INSPECTION, EVALUATION, AND REPAIRS Photomask Feature Metrology J. Potzick Optical Critical Dimension Metrology R.J. Hoobler Photomask Critical Dimension Metrology in the Scanning Electron Microscope M.T. Postek Geometrical Characterization of Mask Using SPM S. Muckenhirn and A. Meyyappan Metrology of Image Placement M.T. Takac Optical Thin Film Metrology for Photomask Applications E. Apak Phase Measurement Tool for PSM H. Kusunose Mask Inspection: Theories and Principle A. Rosenbusch and S. Hemar Tool for Inspecting Masks: Lasertec MD 2500 M. Yonezawa and T. Matsuyama Tool for Mask Image Evaluation A. Zibold Mask Repairs R. Lee MODELING AND SIMULATION Modeling and Simulation A. Erdmann INDEX