Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical solution of the inverse parametric problem using the boundary element method

Abstract. In the paper the application of the boundary element method for numerical solution of the inverse parametric problem is presented, this means the temperature dependent thermal conductivity is identified. The thermal conductivity of the material appears in the fundamental Fourier law and also in the basic energy equation (the Kirchhoff-Fourier equation). This parameter is determined on the basis of physical experiments. The numerical identification of the thermal conductivity is possible on the basis of the knowledge of temperature field in the domain considered.
USN The NPS AUV 11 Autonomous Underwater Vehicle Testbed : Design and Experimental Verification

The design, construction and testing of an autonomous underwater vehicle (AUV) for use as a research and development testbed at the Naval Postgraduate School (NPS) is presented. Design objectives, analysis and trade-offs are discussed with respect to a generic AUV with specific details for the case of the NPS AUV 11. System integration and flexibility are emphasized in the subject vehicle to support presently planned and future research employment. Hull, mobility, sensors, automatic control, and energy subsystems are described. Design and fabrication techniques for the NPS AUV I1 vehicle hull and equipment are documented. Some results from an experimental program illustrating verification of vehicle design are described. INTRODUCTION T h e Naval Postgraduate School (NPS) has engaged in research with autonomous underwater vehicles (AUVs) since 1987 funded by the NPS Direct Research Fund under the technical sponsorship of the Naval Surface Weapons Center (NSWC) at White Oak, Maryland. This inter-departmental (Mechanical, Computer Science, and Electrical and Computer Engineering) project has the goal of involving naval officer students through thesis research in the development of advanced control systems for use in AUVs-a critical technology for future naval missions. While unmanned underwater vehicles of many diverse types are in both military and commercial use, an important new feature of AUVs lies in the increased use of onboard automation with only intermittent high level communication with the user. Results of missions involving search, survey, area sanitization, object imaging and localization, surveillance and mapping would be obtained after post processing and data visualization. Thus the special features of the research at NPS are aimed at the concepts and surrounding issues in autonomous real-time control, mission planning (replanning), obstacle avoidance, automated diagnostics and error recovery, navigation, guidance and autopilot systems for precision maneuvering and path tracking, object imaging, and data post processing for graphics visualization. Furthering the understanding of the dynamics of underwater vehicles, and the development of real-time control systems, however, has reinforced the need for a test vehicle that will conduct autonomous operations, having its own internal power, sensor processing and decision making capability. The first underwater vehicle constructed at the Naval Postgraduate School (Brunner, 1988), was designed to be small enough to operate in a 4-foot x 4-foot x 40-foot long test tank. These size constraints limited the vehicle’s internal load significantly, so that it had to rely on external equipment for its operation. Radio control hardware and an umbilical were required to convey maneuvering command signals, vehicle sensor data, and power. Rapid depth changing maneuvers were shown to be possible without the use of pitch gyros although the vehicle was too limited for investiNaval Engineers Journal, May 1992 191 NPS AUV I1 AUTONOMOUS UNDERWATER VEHICLE TESTBED HEALEY/GOOD cost Mission Rmpirernents
The influence of capital structure on financial performance

The decisions that concern financial structure have an important impact on the company so that it is necessary to quantify their effects on the company’s performance. The purpose of this paper is to determine whether there is a positive or a negative relation between debt and financial performance as previous research has not come to a general conclusion. In this paper we examine the factors that influence financial performance through panel data regression models using a sample of 16 pharmaceutical companies from 5 countries during 2001-2013. The results have shown that capital structure has an impact on company’s performance, but the sign of that relation depends on the type of measure that is used to quantify the performance.
Introduction to Research Methods

This text also provides balanced coverage of qualitative and quantitative approaches by integrating a variety of examples from recent and classic sociological research. The text challenges students to debate and discuss the strengths and weaknesses of both approaches. An important goal of this text is to introduce students to the core principles of social research in a way that is straightforward and engaging.
The effects of rich vocabulary instruction on students' expository writing

The Effects of Rich Vocabulary Instruction on Students' Expository WritingLisa Marie Yonek, Ed.D University of Pittsburgh, 2008Two approaches to vocabulary instruction, rich instruction and traditional instruction were examined to compare their effectiveness in assisting students in developing word knowledge and transfer of that knowledge to use of target words in expository writing. Fourth grade students in an urban school district were taught twelve Tier Two words over the course of five days using either rich instruction or traditional instruction. Rich instruction consisted of exposing students to both definitional and contextual information, multiple exposures and active or deep processing of each word. Traditional methods included dictionary definitions, matching activities, cloze sentence activities and sentence writing. Outcomes were measured on tasks of word meanings, depth of word knowledge, writing quality and number of target words used in writing. There were no differences between groups on knowledge of word meanings but students who received the rich instruction outperformed students who received the traditional instruction on all other measures suggesting that rich instruction is more effective in helping students to deepen word knowledge and utilize newly learned words in complex literacy acts such as writing. Interpretations and implications are discussed.
How well can HMM model load signals

Finding models that can efficiently represent load signals is one key issue in non-intrusive load monitoring (NILM) because they are the foundation of most load disaggregation algorithms. In the past, the factorial hidden Markov model (fHMM) has been proposed as one probabilistic model for the aggregate real power measurement. It is assumed that each load can be represented as one hidden Markov model (HMM) and the HMMs of all loads have been learned successfully before disaggregation. Although fHMM showed some promising results for eventless disaggregation, a detailed investigation on how well HMM is suited to model load signals is still missing till today. In this paper, we study the feasibility of HMM modeling for different categories of loads by using the UK-DALE dataset and propose a method for model adaptation across different houses.
Photogrammetric Camera Network Design for Micro Aerial Vehicles

Micro Aerial Vehicles (MAVs) equipped with high resolution cameras have the ability of cost efficient and autonomous image acquisition from unconventional viewpoints. To fully exploit the limited flight-time of current MAVs view planning is essential for complete and precise 3D scene sampling. We propose a novel camera network design algorithm suitable for MAVs for close range photogrammetry that exploits prior knowledge of the surrounding. Our algorithm automatically determines a set of camera positions that guarantees important constraints for image based 3D reconstruction. On synthetic experiments we demonstrate that our camera network design obtains detailed 3D reconstructions with a reduced number of images at the desired accuracy level. Comparable results are also computed on an outdoor experiment using our MAV in autonomous
Separating Facts from Fiction

Whether the teaching on religious liberty of the Second Vatican Council contradicts the early Magisterium of the Catholic Church is a matter of contention among Catholics and a crucial issue in the controversy with the ‘traditionalist’ movement of the late Archbishop Lefebvre. Benedict XVI’s strategy has been to promote a paradigm of “reform within continuity”, admitting that Vatican II has introduced elements of reform and even discontinuity, but within a fundamental continuity and without ‘ruptures’.
Modeling Exploration/Exploitation Decisions through Mobile Sensing for Understanding Mechanisms of Addiction (poster)

Addiction is a brain disease manifested by the loss of control over drugs or behaviors, despite negative consequences. Although addiction research has been conducted for decades in psychiatry and neuroscience, a comprehensive understanding of the mechanisms underlying addiction has not yet been achieved. Recent studies in neuroscience [1] have sought to bring light upon this issue by measuring exploration/exploitation decisions in sequential choice tasks, requiring balancing the need to exploit known options and to explore new ones. These studies show a relationship between addiction and exploration/exploitation decisions. For example, people addicted to substances (e.g. alcohol or methamphetamine) or behaviors (e.g. gambling) have tendencies to explore less, which implies they have difficulties 'seeing the big picture". There is a small yet growing literature modeling explore/exploit decisions of addicted people through inverse reinforcement learning (IRL) [4]. In this previous work, the models made by decision history of addicted people have higher learning weights and probability to exploit than those of normal people, which means that addicted people are more sensitive to their most recent activity. However, existing methods to measure exploration/exploitation decisions are lab-based game experiments such as n-armed bandit [3] or clock task [6], which are high cost, time-consuming and not scalable. Therefore, they are not suitable for modeling through IRL, which requires large behavioral trajectories. In this work, we argue for the first time that mobile sensing is a more cost-efficient and scalable alternative to the lab-based game experiments for understanding and modeling the mechanisms of addiction (Figure 1).
Prediction of high Reynolds number flow

Suspension bridge with twin box girder has a better aerodynamic stability and hence has been adopted in many designs for super-long-span bridges. Yet the Reynolds number of aerodynamic research based on wind tunnel section model testing can only reach up to around 600,000. Focusing on Reynolds number effect, several cases with different Reynolds numbers less than 1,000,000 have been modeled first, and the numerical results including drag, lift and moment coefficients have been compared with corresponding experiments conducted in Wind Tunnel in Tongji University. Then with a high Reynolds number up to 4,000,000, flow over a twin box bridge using Large-eddy simulation with wall modeling has been modeled. The drag, lift and moment coefficients, pressure distribution, and wake vortices around the deck surface have been given and discussed. It is observed that LES method with proper wall modeling is able to assess the Reynolds number effect of twin box bridge.
Fat-tailed Distributions , Value at Risk and the Japanese ReturnsMarket Stock

The Japanese economy has been the second largest economy over the world for a long time before the Chinese economy emerged. The Tokyo Stock Exchange (TSE) is the fourth largest stock exchange in the world by aggregate market capitalization of its listed companies and largest in East Asia and Asia. It is of great importance for those in charge of managing risk to understand how its market index returns are distributed. The goal of this paper is to examine how various types of heavy-tailed distribution perform in risk management of the N225 Index returns. We compared these heavy-tailed distributions through a variety of criteria. Our results indicate the generalized hyperbolic distribution has the best goodness of fit and generates most suitable risk measures.
Lipoxygenase inhibition of Commelina benghalensis , Tradescantia fluminensis , Tradescantia zebrina Cean

*Corresponding author: Christine L. Chichioco-Hernandez, Institute of Chemistry, College of Science, University of the Philippines, Diliman, Quezon City, Philippines 1101. Tel: +632-981-8500 local 3652 Fax: +632-920-5427 E-mail: cchernandez@upd.edu. ph Foundation Project: Supported by the University of the Philippines Diliman through the Natural Sciences Research Institute (Grant No. CHE-09-2-02).
ANIMAL 2-DE and MALDI-TOF MS-based identification of bovine whey proteins in milk collected soon after parturition

Bovine milk is widely consumed by humans and is a primary ingredient of dairy foods. Proteomic approaches have the potential to elucidate complex milk proteins and have been used to study milk of various species. Here, we performed a proteomic analysis using 2 -dimensional electrophoresis (2-DE) and matrix assisted laser desorption ionization–time of flight mass spectrometer (MALDI-TOF MS) to identify whey proteins in bovine milk obtained soon after parturition (bovine early milk). The major casein proteins were removed, and the whey proteins were analyzed with 2–dimensional polyacrylamide gel electrophoresis (2-D PAGE). The whey proteins (2 mg) were separated by pI and molecular weight across pH ranges of 3.0 10.0 and 4.0 7.0. The 2-DE gels held about 300 to 700 detectable protein spots. We randomly picked 12 and nine spots that were consistently expressed in the pH 3.0 10.0 and pH 4.0 7.0 ranges, respectively. Following MALDI-TOF MS analysis, the 21 randomly selected proteins included proteins known to be present in bovine milk, such as albumin, lactoferrin, serum albumin precursor, T cell receptor, polymeric immunoglobulin receptor, pancreatic trypsin inhibitor, aldehyde oxidase and microglobulin. These proteins have major functions in immune responses, metabolism and protein binding. In summary, we herein identified both known and novel whey proteins present in bovine early milk, and our sodium dodecyl sulfatepolyacrylamide gel electrophoresis (SDS-PAGE) analysis revealed their expression pattern.
Causal Inference for Dyadic Outcomes in Social Network Analysis ∗

In social network settings, investigators may be interested in how interventions on dyads in the network affect the structure of social interactions that occur between actors in the network. This problem is relatively simple to frame if the goal is to estimate sample average treatment effects, but can be difficult to frame if the goal is to estimate population average treatment effects, because the latter question requires the specification of a network superpopulation. In this work, we extend several ideas concerning network superpopulation inference developed for predictive inference to causal inference. In particular, we specify causal estimands that characterize meaningful population-level treatment effects under realistic specifications of sparse network superpopulations. These estimands are local average treatment effects designed to have desirable invariance properties across the network superpopulation. We then develop Bayesian methodology for estimation and inference, including some useful heuristics for resolving multimodality issues that arise in Bayesian estimation of local average treatment effects. We demonstrate these methods in a simulation study.
Constrained Safety-Integrity Performance of Through-the-Arms UHF-RFID Transcutaneous Wireless Communication for the Control of Prostheses

Advanced prostheses for recovery of arm amputation can be nowadays controlled by the electromyographic (EMG) signals. Implanted myoelectric sensors, suitable to transcutaneous wireless reading, permit to improve the signal-to-noise ratio. This paper explores the feasibility of a through-the-arm telemetry link based on the radiofrequency identification in the UHF band (860–960 MHz). The proposed model accounts for the power sensitivity of the commercial devices, the constraints enforced by the exposure regulations (SAR) and by the communication integrity (BER). The reliability of the link is evaluated against possible misalignments between sensors and the reading unit. Results demonstrate that the transcutaneous link can be in some case limited by integrity constraints but can be nevertheless correctly established by means of less than 23 dBm input power (full compatible with embedded readers). The link is moreover robust against angular displacement up to at least $\Delta \phi =\pm 35\,{^{\circ }}$ and linear displacement up to 2.5 cm.
Detection of Sclerotinia rot incidence in indian mustard from polar orbiting satellite platform

Satellite-sensed detection of disease incidence in crops using optical radiometry depends on degree of loss of greenness of canopy based on differentiation of reflectance patterns between disease-free and diseased crop patches. Crop identification and discrimination between crops from polar orbiting Indian satellite sensors with narrow multi-spectral optical bands in green (450-550 nm), red (550-650 nm), near infrared or NIR (650-750 nm), short-wave infrared (1100-1200nm) and middle infrared or MIR (1500-2000 nm) were standardized. This uses digital data from Indian Remote Sensing (IRS) satellite P6 Linear Imaging Self Scanning (LISS)-IV, 1D LISS-III, IRS P6 Advanced Wide Field sensors with spatial resolutions varying 5.6 m-60 m representing field to local scales with repeat visits at 5-25 day intervals. Sclerotinia rot (Sclerotinia sclerotiorum) is a major soil borne disease in mustard (Brassica juncea) causing premature drying of crops that leads to yield losses up to 40% in India. First week of Feb 2005 witnessed cold (max temp: 19-23.1C; min temp: 1.7-8C) and humid (morning relative humidity: 97-100%; afternoon relative humidity: 43-79%) spell with sunny (8.0-10.2 hours bright sunshine) days accompanied by night rainfall (2.7 mm) at Bharatpur (2712N; 7727E), which resulted in high soil moisture and conditions favourable for the disease. Cloud-free hyperion photograph having 7.5 km swath and 142 km long track coverage were acquired on 24 Feb 2005. Sclerotinia rot incidence, ranging 10%-60% was recorded from 20 mustard patches along with Global Positioning System coordinates within a study area of 20 km×5 km. Cloud-free LISS-IV (5.6 m) images over Bharatpur were used to identify distribution of mustard patches. Different pigment and water sensitive spectral regions in hyper-spectral bands from hyperion were identified sensitive to Sclerotinia incidences by comparing with ground observed incidence with disease-water-stress-index-V [(radiance or R800-R550)/(R1660+R680)] found better correlated with ground truth. This group records the first report of use of data onboard satellite platform for disease detection in India.
UvA-DARE ( Digital Academic Repository ) Angiogenic tip cells in endothelial cell cultures

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Digital fabrication in the arts : just another technical reproduction advance leap or a new artistic revolution ?

The present paper aims at discussing the use of rapid prototyping techniques for the production of artwork. This discussion is based mainly on Walter Benjamin ́s (1968) and William Mitchell ́s (1992) ideas, respectively about reproduction techniques and the use of digital media. Benjamin points out three aspects of the use of reproduction techniques: for pedagogical purposes, for diffusion of an artist’s work, for forgery, and as a new means of expression. The use of rapid prototyping to produce artwork is herein analyzed from these four points of view. In the same way that Benjamin asserts that certain techniques, such as photography and movie-making, resulted in a change in the whole concept of art, Mitchell suggests that digital synthesis techniques can also result in a new artistic revolution. It is possible to extend Mitchell ́s ideas to the generation of 3D digital form, which can be output with RP techniques. cations of RP range from explorative model making during the product design process to the production of a final product. Most authors consider additive systems the only proper types of RP. In such systems digital models are built by the successive addition of thin layers of fused material (e.g. fused deposition modeling and electron beam melting) or the successive solidification of layers of powder or liquid material (e.g. selective laser sintering, 3D printing, multi jet modeling and stereolithography). RP allows the production of virtually any shape with different materials depending on the machine, such as starch, plaster, wax, nylon, photopolymers, plastic, metal, etc. The size of the objects, however, is limited by the machine’s build volume. Most 3D printers can build objects up to 8"x10"x8", but some have larger builds, up to 16”x20”x24”. It is also possible to build objects up to 24”x24”x20” with more expensive techniques, such as selective laser sintering and stereolithography. The cost of rapid prototyped objects is still high if compared to large-scale production techniques, and can only be justified in the case of custom objects that require great precision. 3D printing with plaster or starch is presently the most affordable technique.