Miracle-dz/UniFAR-FTUs huggingface dataset:
Philippines, Biology

However, it is certain that later Polynesian voyaging canoes had the technical capability to reach the Americas, and to return. That the Polynesians did indeed reach South America and return is strongly suggested by preserved remains of the sweet potato (Ipomoea batatas), a South American domesticate, recovered from several prehistoric Polynesian sites (such as the Tangatatau rockshelter on Mangaia, Cook Islands). Further evidence of contact has recently been provided by the bones of chickens (Gallus gallus, a Polynesian domesticate) from a pre-Columbian archeological site in Chile. More controversial has been the claim that Polynesians may have introduced the technology of plank-built canoes to the Chumash of the Channel Islands, off the coast of California.
3rd post-Newtonian higher order ADM Hamilton dynamics for two-body point-mass systems

The paper presents the conservative dynamics of two-body point-mass systems up to the third post-Newtonian order (1/c). The two-body dynamics is given in terms of a higher order ADM Hamilton function which results from a third post-Newtonian Routh functional for the total field-plus-matter system. The applied regularization procedures, together with making use of distributional differentiation of homogeneous functions, give unique results for the terms in the Hamilton function apart from the coefficient of the term (νpi∂i) r. The result suggests an invalidation of the binary point-mass model at the third post-Newtonian order. PACS number(s): 04.25. Nx, 04.30. Db, 97.60. Jd, 97.60. Lf
Fatores de risco e de proteção na adaptação à aposentadoria

Este ensaio tem como objetivo descrever fatores de risco e de protecao individuais, psicossociais e organizacionais que dificultam ou facilitam a adaptacao do individuo a aposentadoria, a partir da literatura especializada. Destacam-se como fatores de risco as condicoes adversas: poucos recursos financeiros, doencas, ausencia de rede social e lacos familiares, falta de planejamento e aposentadoria involuntaria. Atuam como fatores protetivos na adaptacao a aposentadoria: ter autoeficacia, maior renda, educacao, saude, lazer, praticar atividades fisicas, ser casado, ter rede social e realizar trabalho voluntario. Sao discutidas implicacoes destes achados para o planejamento de programas preventivos, os quais devem ser focados na ampliacao de recursos pessoais, familiares e ambientais que facilitem o enfrentamento a transicao para a aposentadoria.
Proc. 5th Workshop on Highly Parallel Processing on a Chip

We present a framework for representing image processing kernels based on decoupled access/execute metadata, which allow the programmer to specify both execution constraints and memory access pattern of a kernel. The framework performs source-to-source translation of kernels expressed in highlevel framework-specific C++ classes into low-level CUDA or OpenCL code with effective device-dependent optimizations such as global memory padding for memory coalescing and optimal memory bandwidth utilization. We evaluate the framework on several image filters, comparing generated code against highlyoptimized CPU and GPU versions in the popular OpenCV library.
Effectiveness of performance tuning techniques for general matrix multiplication on the PEZY-SC2

Multiplications of matrices are known as a fundamental routine in numerical calculations. In the BLAS (Basic Linear Algebra Subprograms standard), the multiplication routine is called GEMM (GEneral Matrix-Matrix Multiply). The GEMM is used in other linear algebra routines, such as routines in the LAPACK (Linear Algebra PACKage library), and in many application programs. Since the GEMM is the most time consuming computation in the LINPACK benchmark used for the TOP500 supercomputer ranking, it has been optimized on almost all processors [1–4, 13] targeting the high performance computing domain. The PEZY-SC2 is an MIMD (Multiple Instruction stream, Multiple Data stream) many-core processor developed by PEZY Computing. A computing system with the PEZY-SC2 combined with liquid immersion cooling is the most energy efficient supercomputer in the latest Green500 ranking. A contribution of the present study is to show how effective performance tuning techniques are for a high-performance GEMM implementation on the PEZY-SC2. If given matrix sizes are specially tailored for the PEZY-SC2, it is possible to develop a matrix-matrix multiplication implementation that reaches a close-to-peak performance on the PEZYSC2, like the implementation targeting the LINPACK benchmark. However, an extremely tuned implementation for such
REGISTERED NURSE EMPOWERMENT AND RETENTION CORRELATIONS A RESEARCH PAPER SUBMITTED TO THE GRADUATE SCHOOL IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE MASTERS OF SCIENCE BY MICHELE ETCHISON

Research Study: Registered Nurse Empowerment and Retention Correlations Student: Michele Etchison, RN, BSN, CNOR Degree: Masters of Science College: College of Applied Sciences and Technology Date: December, 2012 Many studies that have been conducted regarding job satisfaction and nurse retention, yet there is a lack of information about empowerment and how empowerment affects nurse retention. This study is a modified replication of Zurmehly, Martin, and Fitzpatrick’s (2009) study and will investigate the relationship between nurse empowerment and nurse retention. The purpose of the study is to investigate the impact nurse empowerment has on job satisfaction and ultimately nurse retention. A web based survey with electronic submission of survey results will be conducted using the Conditions of Work Effectiveness Questionnaire II (CWEQ II) developed by Laschinger, Finegan, Shamian, and Casiers (2000). A sample size of 240 registered nurses holding a current Indiana license will be targeted for inclusion into the study. Kanter’s (1977, 1993) Theory of Structural Power in Organizations will be used as the framework for the study. Study findings may help to improve registered nurse empowerment, job satisfaction and retention.
WESTERN REGION HAZARDOUS SUBSTANCE RESEARCH CENTER 2003 ANNUAL REPORT Administration

s: Defne Cakin and J.D. Ingle, Jr. 2004. Design and Characterization of a Liquid Core Waveguide based Analytical Device for the Analysis of Anaerobic Systems. EPA/ORD/HSRC Superfund Research on Risk Characterization and Monitoring. Las Vegas, NV Peter Ruiz-Haas and J.D. Ingle, Jr. 2004. Evaluation of Redox Conditions with Redox-Indicator Based Sensors in Soil and Microcosms Bioaugmented with Reductive Dehalogenating Bacteria. EPA/ORD/HSRC Superfund Research on Risk Characterization and Monitoring. Las Vegas, NV Peter Ruiz-Haas and J.D. Ingle, Jr. 2005. Ruiz-Haas, P. and Ingle, J.D. , Jr. 2005. Monitoring of Redox Conditions with Redox-Indicator Based Sensors in Soil Columns and Microcosms Bioaugmented with Reductive Dehalogenating Bacteria. Joint International Symposia for Subsurface Microbiology and Environmental Biogeochemistry, Jackson, WY; and American Chemical Society (ACS) Fall National Meeting, Washington, DC. Theses: Kevin Cantrell. 2002. The Development and Characterization of Miniature Spectrometers for Measuring the Redox Status of Environmental Samples, Ph.D Thesis, Department of Chemistry, Oregon State University. Sanchai Prayoonpokarach. 2003. Development and Evaluation of Sampling Techniques, Instrumentation, and Pyridine Derivative Reagents for Fluorometric Determination of Chloroform and TCE in Water with a Portable Fluorometer Ph.D Thesis, Department of Chemistry, Oregon State University. Current students on project: Peter Ruiz-Haas is the primary Ph.D. graduate student on the project. Defne Cakin is a Ph.D. graduate student and is working on developing new monitoring techniques for the project, with a particular emphasis on low level detection of reductants and oxidants with specially developed long-path cells. Corey Koch is a Ph.D. graduate student and is working on automation and development of microfluidic devices and procedures for field and in-situ determination of environmental information
Multi Response Optimization in Drilling Al 6063 / SiC / 15 % Metal Matrix Composite

This investigation proposes a grey-based Taguchi method to solve the multi-response problems. The grey-based Taguchi method is based on the Taguchi’s design of experimental method, and adopts grey relational analysis (GRA) to transfer multiresponse problems into single-response problems. In this investigation, an attempt has been made to optimize the drilling process parameters considering weighted output response characteristics using grey relational analysis. The output response characteristics considered are surface roughness, burr height and hole diameter error under the experimental conditions of cutting speed, feed rate, step angle, and cutting environment. The drilling experiments were conducted using L27 orthogonal array. A combination of orthogonal array, design of experiments and grey relational analysis was used to ascertain best possible drilling process parameters that give minimum surface roughness, burr height and hole diameter error. The results reveal that combination of Taguchi design of experiment and grey relational analysis improves surface quality of drilled hole. Keywords—Metal matrix composite, Drilling, Optimization, step drill, Surface roughness, burr height, hole diameter error.
Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis

Using Stochastic Frontier Analysis (SFA), this paper centered on analysing the impact of Crop Diversification (CD) on farm level technical efficiency in Afghanistan. Data from a household level survey conducted in 2013-2004 by the Central Statistic Organization (CSO) is used in the analysis. The results revealed that adoption of a diversified portfolio of crops by the farmers significantly improves technical efficiency. In addition, access to extension services, farm size, cattle, oxen and tractor ownership by the farm households, and regional variables were other important factors that significantly affect technical efficiency. It is evident from the results that the estimated technical efficiency indices from the preferred truncated normal distribution range from 1.5% to 99.29%, with a sample mean of 71.9%. The basic SFA model was investigated for potential endogeneity in crop diversification. Instrumental Variable (IV) method was employed to correct for endogeneity in crop diversification. The results of the IV estimation reveal that failing to account for endogeneity in the basic model leads to a downward bias which is consistent with attenuation bias (measurement error in CD implies that OLS coefficients are biased towards zero, so one would predict IV coefficients greater in absolute size). The results of crop diversification index showed the presence of a relatively low level of crop diversification. Maximum likelihood estimation of translog stochastic frontier model shows that land, labour, and other purchased inputs (fertilizer, seeds, pesticides usage) have positive impact on farm revenues. The results show an evidence of constant returns to scale.
Adaptive sampling for multiscale environmental sensor networks

Environmental sensor networks enable researchers to collect data at an impressive order of magnitude, both temporally and spatially. Without effective sampling logic, these powerful tools can produce an overwhelming quantity of data that may not capture the most valuable information for scientific discovery. To address this issue, this research expands the definition of a “hot moment”, a term previously used to describe times of high biogeochemical activity, to include periods of elevated signal complexity, which is when dense data collection is most needed. Under this new definition, an indicator for hot moment identification is developed. Using this indicator as a performance metric, a family of frequency-based adaptive sampling models are developed that operate at different network scales. These algorithms make use of the Nyquist-Shannon sampling theorem, a fundamental contribution from the field of signal processing, and take advantage of the resource (energy, bandwidth, computation) and information advantages specific to the local (sensor), regional (base station), and global (the Cloud, i.e. distributed computing clusters across the network) network scales. The models are tested over historical soil moisture data. Results indicate substantial advantages to adaptive sampling relative to traditional fixed-rate (uniform) sampling in both data reduction and improved sampling over hot moments.
Artificial Curiosity for Motor Skill Learning

Reinforcement learning can be applied to episodic tasks in robotics in order to learn how to perform motor skills without the need for prior knowledge. Algorithms that can learn contextual tasks enable the robot to generalize his learned knowledge about a specific task to another, similar task and to solve this task without further specific training. This requires the robot to train on given contexts which are sampled from a distribution. Typically, a uniform distribution is used. However, the distribution has an effect on the learning process and can be learned in order to improve the final performance of the robot. To this end, we introduce Active Relative Entropy Policy Search (ActiveREPS). ActiveREPS is a modification of Relative Entropy Policy Search (REPS) that learns a context distribution by maximizing the improvement of the expected reward in order to train the robot where it improves most. We show that ActiveREPS can be used to improve the performance of the robot when executing motor skills when compared to reinforcement learning with uniformly sampled contexts. The obtained contexts are then used to learn a policy. To this end, we introduce Local Relative Entropy Policy Search (LocalREPS), an adaptation of REPS that is trained for each context locally. We show in this thesis that LocalREPS is capable of learning policies that depend non-linearly on the context and outperforms REPS on tasks with complex dependencies on the context. Zusammenfassung Reinforcement Learning erlaubt es Robotern komplexe, episodische Aufgaben zu lösen ohne auf vorhergehendes Wissen zurückzugreifen. Algorithmen die außerdem kontextuelle Aufgaben lösen können erlauben es Robotern von ihrem gelernten Wissen zu abstrahieren und ähnliche Aufgaben ohne gesondertes Training zu bewältigen. Diese Algorithmen setzen voraus, dass der Roboter auf einer Anzahl an Kontexten zu trainiert wird, üblicherweise werden dazu gleichverteilte Kontexte genommen. Alternativ ist es möglich die Kontextverteilung zu lernen um damit das Endresultat des Lernprozesses zu verbessern. Um dies zu erreichen stellen wir in dieser Thesis Active Relative Entropy Policy Search (ActiveREPS) vor. ActiveREPS ist eine Modifikation von Relative Entropy Policy Search (REPS), die die Kontextverteilung lernt, die den Unterschied im Erwartungswert des Rewards maximiert um den Roboter auf Kontexten zu trainieren, auf denen die größte Verbesserung des Endergebnisses erzielt wird. Wir zeigen in dieser Thesis, dass ein Roboter, der auf von ActiveREPS bestimmten Kontexten trainiert wurde, bessere Resultate beim Bewegungslernen erzielt als ein Roboter, der auf gleichverteilten Kontexten trainiert wurde. Die gelernte Kontextverteilung kann dann benutzt werden um eine Policy zu lernen. Zu diesem Zweck stellen wir in dieser Thesis außerdem Local Relative Entropy Policy Search (LocalREPS) vor. LocalREPS ist eine Variation von REPS, die für jeden Kontext lokal trainiert wird. Wir zeigen in dieser Thesis, dass LocalREPS dadurch policies lernen kann, die nicht-linear von dem Kontext abhängig sind und dass LocalREPS damit bessere Resultate erzielen kann als REPS.
Evaluation of a Heated-air Airship for the Environment of Titan Evaluation of a Heated-air Airship for the Environment of Titan Acknowledgements

Future exploration of Saturn's moon Titan can be carried out by airships, which have the capability to study the atmosphere as well as the capability to land and study the surface at multiple locations. Several lighter-than-air gas airships and passive drifting heated-air balloon designs have been studied, but a heated-air airship could combine the best of both. A design tool was created to enable iteration through different design parameters of a heated-air airship (diameter, number of layers, and insulating gas pocket thicknesses) and evaluate the feasibility of the resulting airship. A baseline heated-air airship was designed to have a diameter of 6 m (outer diameter of 6.2 m), 3 layers, and an insulating gas pocket thickness of 0.05 m between each layer. This heated-air airship also had a mass of 161.87 kg. A similar mission making use of a hydrogen-filled airship would require a diameter of 4.3 m and a mass of about 200 kg. For a desired long-term mission, the heated-air airship appears better suited. However for a desired mission under 180 days, the less complex hydrogen airship would likely be a better option. Thesis Supervisor: John J. Leonard Title: Professor of Mechanical Engineering
Monitoring land-cover changes: A comparison of change detection techniques

Six change detection procedures were tested using Landsat MultiSpectral Scanner (MSS) images for detecting areas of changes in the region of the Terminos Lagoon, a coastal zone of the State of Campeche, Mexico. The change detection techniques considered were image differencing, vegetative index differencing, selective principal components analysis (SPCA), direct multi-date unsupervised classification, post-classification change differencing and a combination of image enhancement and post-classification comparison. The accuracy of the results obtained by each technique was evaluated by comparison with aerial photographs through Kappa coefficient calculation. Post-classification comparison was found to be the most accurate procedure and presented the advantage of indicating the nature of the changes. Poor performances obtained by image enhancement procedures were attributed to the spectral variation due to differences in soil moisture and in vegetation phenology between both scenes. Methods based on classif.
N Applications of Parallel Scheduling to Perfect Graphs

We combine a parallel algorithm for the two processor scheduling problem, which runs in polylog time on a polynomial number of processors, with an algorithm to find transitive orientations of graphs where they exist. Both algorithms together solve the maximum clique problem and the minimum coloring problem for comparability graphs, and the maximum matching problem for co-comparability graphs. These parallel algorithms can also be used to identify permutation graphs and interval graphs, important subclasses of perfect graphs.
EDUCATIONAL INDICATORS AND NATIONAL DEVELOPMENT IN SAUDI ARABIA

This study examines the impact of socioeconomic status and school resource indicators on 8 th grade math and science achievement in the Kingdom of Saudi Arabia. The analyses reported here show that the Kingdom‟s national averages in most of these areas in 2003 fell below that of peer nations both in the region and globally, which gives Saudi educational policymakers several clear targets for educational reform and improvement. The value and importance of internationally comparative assessments like TIMSS is also discussed with reference to the Saudi case, in particular.
Running head : Critique of a Nursing Theorist 1 Critique of a Nursing Theorist

Nursing theory has helped the field be recognized as a profession by society. It is the findings from nursing research, leading to the development of nursing theories, that shapes the care nurses provide to patients. It was nursing theorists that realized the clinical practices and guidelines for nursing, needed to be defined by the nursing profession, and not other medical disciplines. This paper critiques the work of nursing theorist Ida Jean Orlando, who developed the Deliberative Nursing Process, and its use in nursing practice today. Critique of a Nursing Theorist Critique of a Nursing Theorist 3 The history of nursing began with the profession acknowledged only as a vocation. It was in the theory era that nursing transitioned into the profession we know today. “Nurse reasearchers worked to develop and clarify a substantive body of nursing knowledge with goals of improving the quality of patient care, providing a professional style of practice, and being recognized as a profession” (Alligood & Tomey, 2010, p.4). Nursing theorist Ida Jean Orlando, developed a middle-range predictive nursing theory called the Deliberative Nursing Process, which focuses on the relationship between patient and nurse (Kearney-Nunnery, 2008, p. 71). Ida Jean Orlando’s theory was developed from analyzation of 2000 nurse-patient interactions during a study conducted at Yale University School of Nursing (Alligood & Tomey, 2010, p. 65). The nursing process developed by Ida Jean Orlando helps the nurse identify patients’ immediate needs and recognize signs of distress; Orlando’s theory continues to be one of the most effective practice theories (Alligood & Tomey, 2010, p. 66). Analysis of Orlando’s nursing theory will be done to demonstrate its importance and implications in nursing practice. Analysis of model Explanation of model Ida Jean Orlando’s Theory of the Deliberative Nursing Process “focuses on an interpersonal process between people” (Kearney-Nunnery, 2008, p.71). The persons involved in Orlando’s theory are the nurse and the patient. The environment related to this theory is any healthcare setting where there is direct patient-care provided by a nurse. The theory relates to health in that it is focused on the overall well-being of the patient, including mental and physical health, and sense of adequacy (Kearney-Nunnery, 2008, p. 71). The implications of Orlando’s theory in nursing practice are centered on “identifying and meeting the patient’s immediate needs for help” (Kearney-Nunnery, 2008, p.71). Critique of a Nursing Theorist 4
HEXASUBSTITUTED TRIPHENYLENES : A NEW MESOMORPHIC ORDER

— We have prepared two series of hexasubstituted triphenylene derivatives : hexaethers from CH3 to C13H27 and hexaesters from C3H7 to C13H27. Most of them exhibit a thermotropic mesophase with a large temperature range. We have found the existence of an additional transition within the mesophase domain of some hexaesters with long alkyl chains. The structure of this new type of liquid crystal is discussed with respect to ours results concerning miscibilities and heat of transition.
A Case Study on the Appropriate Scale of Vegetable Operation in Hebei Province

This study investigates the situation and efficiency of large scale model in vegetable operation with interview and DEA method. The study site is Hebei province with the second large vegetables output in China. The samples were collected among the farmers in northern, southern and central Hebei Province. The result of the survey indicate the farmer family are more suitable than agricultural companies to take part in the larger scale planting of vegetables. Moreover, the appropriate planting area for family farm to plant vegetable is 5-6 mu.
Multidimensional Small Medium Enterprises Achievement Rating : Improving to Data Warehousing & Data Mining Methods

Multidimensional small medium enterprises achievement rating: improving to data warehousing & data mining methods,the study gives a fully performed expert diagnostic system, which assesses the execution of SMEs on a benchmarking security. The system has been in practice for many years and has run into a consistent and considerably challenging development to suffice both the requirements of analysis and the generation of benchmarking records. The research explains why we chose to improve the system with data warehousing and data mining procedures.