Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Multi-enzyme (Pectinase, Cellulase and Hemicellulase) Treatment on Clarification of Papaya (Carica papaya) Fruit Juice

Clarified fruit juices are preferred by a significant portion of the population and are becoming popular in global fruit juice market. Many of the other processed fruit products like, clear juice cocktails, cordials, ready to serve drinks, clear nectars, clear juice blends, translucent jelly products, candies etc. are made from clarified juices. Apart from the traditional clear juices from apple and other citrus fruits, several market opportunities exist for clarified juices produced from the tropical fruits of high pulp content like banana, papaya, guava, mango etc. which are being produced abundantly in India. This study was carried out with an objective of producing high quality clarified papaya juice with high yield by multi-enzyme treatment. Papaya juice was given treatments with various concentration levels of the enzymes pectinase, cellulase and hemicellulase for different incubation times (30-150 min) at incubation temperature of 55 0C. The effect of enzyme treatments was studied on turbidity and yield of clarified papaya juice obtained for each enzyme separately, and optimum process conditions were determined. Based on these results papaya juice was given simultaneous treatment of all the three enzymes with compromised process conditions (Pectinase 0.90%, Cellulase 0.40%, and Hemicellulase 0.50% with 90 min incubation time at 55 0C) which produced clarified juice with very small value of turbidity as 11 NTU and yield as 77.4%. RSM(Response Surface Methodology) employing a second order central composite design was used to obtain optimum process conditions for simultaneous treatment with the range of variables for enzymatic treatment process conditions (Enzyme concentration: 0.20-1.20% w/w, 0.20-0.80% w/w and 0.20-0.80% w/w for pectinase, cellulase and hemicellulase respectively, Incubation time 30-150 min and Incubation temperature 55 0C) based on the above experiments. The results obtained for optimum process conditions were very close to that obtained in previous experiments giving the optimum values as 0.87%, 0.50% and 0.50% enzyme concentration for Pectinase, Cellulase and Hemicellulase respectively, and incubation period of 86 min at incubation temperature of 55 0C. Under this condition, the papaya juice was obtained with turbidity value as 9 NTU and 78.8 per cent of yield.
Nuclear rockets: High-performance propulsion for Mars

A new impetus to manned Mars exploration was introduced by President Bush in his Space Exploration Initiative. This has led, in turn, to a renewed interest in high-thrust nuclear thermal rocket propulsion (NTP). The purpose of this report is to give a brief tutorial introduction to NTP and provide a basic understanding of some of the technical issues in the realization of an operational NTP engine. Fundamental physical principles are outlined from which a variety of qualitative advantages of NTP over chemical propulsion systems derive, and quantitative performance comparisons are presented for illustrative Mars missions. Key technologies are described for a representative solid-core heat-exchanger class of engine, based on the extensive development work in the Rover and NERVA nuclear rocket programs (1955 to 1973). The most driving technology, fuel development, is discussed in some detail for these systems. Essential highlights are presented for the 19 full-scale reactor and engine tests performed in these programs. On the basis of these tests, the practicality of graphite-based nuclear rocket engines was established. Finally, several higher-performance advanced concepts are discussed. These have received considerable attention, but have not, as yet, developed enough credibility to receive large-scale development.
Practicing Sustainability:The Role of Consumer Competence

This thesis contributes to the conceptualisation of consumer competence in the context of pursuing a sustainable consumption lifestyle. It overcomes the limitations of decision-making perspectives, which conceive sustainable consumption as a problem solving exercise based on possessing the relevant information. Drawing on the findings from an investigation into the nature of the competence mobilised by consumers who are committed to the sustainability agenda, a more comprehensive formulation of the concept of competence is advanced. More specifically, competence, as a result of the study, is framed in light of its multifaceted and dynamic nature as well as being a tool mobilised by consumers when attempting to lead their desired life projects. It emerges that they combine three complementary dimensions of consumer competence in varying configurations to pursue their sustainability goals according to their lived experience. First, they judge the marketplace by evaluating product offers and the functioning of the market. Second, they use their abilities to shape the marketplace by employing craftsmanship skills so as to become producers of their own consumption. Third, they mobilise their resources towards the accomplishment of their sustainability objectives. However, it is also elicited that competence has a reverse side that can be counterproductive for the performance of consumption practices, including indecision brought on by information overload and consumers living with the unhappy acknowledgement that they do not always live up to their sustainability ideals.
Climate Change and the Puget Sound: Building the Legal Framework for Adaptation

The scope of climate change impacts is expected to be extraordinary, touching every ecosystem on the planet and affecting human interactions with the natural and built environment. From increased surface and water temperatures to sea level rise and more frequent extreme weather events, climate change promises vast and profound alterations to our world. Indeed, scientists predict continued climate change impacts regardless of any present or future mitigation efforts due to the long-lived nature of greenhouse gases emitted over the last century. The need to adapt to this new future is crucial. Adaptation may take a variety of forms, from implementing certain natural resources management strategies to applying principles of water law to mimic the natural water cycle. The goal of adaptation efforts is to lessen the magnitude of these impacts on humans and the natural environment through proactive and planned actions. The longer we wait to adopt a framework and laws for adapting to climate change, the more costly and painful the process will become.This publication identifies both foundational principles and specific strategies for climate change adaptation across the Puget Sound Basin. The projected impacts themselves of climate change in the region were well studied in a landmark 2009 report by the state-commissioned Climate Impacts Group. This publication analyzes adaptation options within the existing legal and regulatory framework in Washington. Recognizing the economic and political realities may not lead to new legislation, the recommendations focus on how existing laws can be applied and made more robust to include climate change adaptation.
Teleassistance: using deictic gestures to control robot action

This thesis presents a bottom-up approach to understanding and extending robotic motor control by integrating human guidance. The focus is on dexterous manipulation using a Utah/MIT robot hand but the ideas apply to other robotic platforms as well. Teleassistance is a novel method of human/robot interaction in which the human operator uses a gestural sign Language to guide an otherwise autonomous robot through a given task. The operator wears a glove that measures finger joint angles to relay the sign language. Each sign serves to orient the robot within the task action sequence by indicating the next perceptual sub-goal and a relative spatial basis. Teleassistance merges robotic servo loops with human cognition to alleviate the limitations of either full robot autonomy or full human control alone. The operator's gestures are deictic, from the Greek deiktikos meaning pointing or showing, because they circumscribe the possible interpretations of perceptual feedback to the current context and thereby allow the autonomous routines to perform with computational economy and without dependence on a detailed task model. Conversely, the use of symbolic gestures permits the operator to guide the robot strategically without many of the problems inherent to literal master/slave teleoperation, including non-anthropomorphic mappings, poor feedback, and reliance on a tight communication loop. The development of teleassistance stems from an analysis of autonomous control, in light of recent advances in manipulator technology. This work also presents a qualitative, context-sensitive control strategy that exploits the many degrees of freedom and compliance of dexterous manipulators. The qualitative strategy governs the underlying autonomous routines in teleassistance.
Investing in People: Financial Impact of Human Resource Initiatives

A Logical, Proven Framework for Understanding the Economic Value of Human Resources Investments How to choose Human Resources investments that deliver optimal strategic valuei? and eliminate those that don't Best-practice metrics and analysis techniques for talent management, performance management, health and wellness programs, and much more Investing in People introduces a breakthrough approach to Human Resources (HR) measurement that systematically aligns HR investments with organizational goals and helps make HR the true strategic partner it needs to be. Wayne F. Cascio and John W. Boudreau show exactly how to choose, implement, and use metrics to improve decision-making, optimize organizational effectiveness, and maximize the value of HR investments.You'll master crucial foundational principles such as risk, return, and economies of scalei? and use them to evaluate investments objectively in everything from work/life programs to training. Cascio and Boudreau also introduce powerful ways to integrate HR with enterprise strategy and budgeting and for gaining commitment from business leaders outside the HR function.If you truly want “a seat at the table”i? or if you want to keep the one you havei? you'll find this book utterly indispensable.Free software available onlineYou don't need to be a math wizard to get results from Investing in People! Visit www.shrm. org/publications/books to access software that automates virtually all of this book's key formulas and calculations.Foreword xiAcknowledgments xiiiAbout the Authors xivPreface xvPlan for the Book xviiChapter 1: Making HR Measurement Strategic 1Chapter 2: Analytical Foundations of HR Measurement 21Chapter 3: The Hidden Costs of Absenteeism 43Chapter 4: The High Cost of Employee Separations 67Chapter 5: Employee Health, Wellness, and Welfare 99Chapter 6: Employee Attitudes and Engagement 125Chapter 7: Financial Effects of Work-Life Programs 151Chapter 8: Staffing Utility: The Concept and Its Measurement 171Chapter 9: The Economic Value of Job Performance 195Chapter 10: The Payoff from Enhanced Selection 223Chapter 11: Costs and Benefits of HR Development Programs 245Chapter 12: Talent-Investment Analysis: Catalyst for Change 271Appendix A: The Taylor-Russell Tables 285Appendix B: The Naylor-Shine Table for Determining the Increase in Mean Criterion Score Obtained by Using a Selection Device 297Index 309
Evaluation Report of MakeBelieve Arts Helicopter Technique of Storytelling and Storyacting

This research, commissioned by MakeBelieve Arts, a London-based theatre and education company, evaluated their educational programme for enhancing young children’s storytelling and story acting. The programme, called the ‘Helicopter Technique’, is based on the work of Gussin Paley’s work. Whilst this has received widespread recognition in the field of children’s play and narrative engagement , ther has been little empirical research into its benefits. The work encompassed examination of archival material and classroom based observations and documentation, as well as scrutiny of the children’s stories scribed in class story books,and interviews with staff involved in the pre prgramme taaining and in class coaching. The work aimed to investigate the value of this approach for children and early years practitioners, and to consider how programme could be improved and made more sustainable in early years classrooms. Overall, the Helicopter Technique was found to provide a rich framework for supporting young children’s learning across diverse curriculum areas, and was a motivating and valuable pedagogical tool for developing creative and reflective teaching. Diverse recommendatiosn were made regarding the future development of the technique.
Building Stories Revisited: Unlocking the Knowledge Capital of Architectural Practice

Abstract Since architects deal with unique projects, their knowledge is largely experience-based, tacit and embedded within the design and construction process. Nevertheless, few consistent and systematic mechanisms exist that try to establish and maintain access to the profession's knowledge. Effectively capitalizing on this knowledge thus seems as pressing a problem as producing more knowledge. Building Stories, an experimental course at University of California—Berkeley, started with a carte blanche opportunity and generous support from leading architecture firms in the San Francisco Bay Area, to try to unlock the knowledge capital of architectural practice through storytelling. This paper is about creating a discussion forum for dialogue about the nature of knowledge in architecture, how it can be captured and disseminated. More importantly, the paper illustrates how designers and other participants in the design and making of architecture can share their experiences through the method of storytelling. The paper looks back on the outcomes of Building Stories over the past five years, and on how it has evolved into an inventive methodology for catalyzing knowledge sharing between projects, between individual architects and architecture firms and, finally, between practice and academia. After briefly recalling the underlying ideas of Building Stories and their implementation as an operational methodology, the paper reports on its recent in-depth evaluation involving former participants from various contexts—young and seasoned professionals in practice, students and researchers in academia. Besides valuable feedback on Building Stories as such, this assessment provides more general insights regarding current ideas and practices of knowledge production and sharing in architecture.
Portable, solid state, fiber optic coupled doppler interferometer system for detonation and shock diagnostics

VISAR (Velocity Interferometer System for Any Reflector) is a specialized Doppler interferometer system that is gaining world-wide acceptance as the standard for shock phenomena analysis. The VISAR's large power and cooling requirements, and the sensitive and complex nature of the interferometer cavity has restricted the traditional system to the laboratory. This paper describes the new portable VISAR, its peripheral sensors, and the role it played in optically measuring ground shock of an underground nuclear detonation (UGT). The Solid State VISAR uses a prototype diode pumped ND:YAG laser and solid state detectors that provide a suitcase-size system with low power requirements. A special window and sensor was developed for fiber optic coupling (1 kilometer long) to the VISAR. The system has proven itself as a reliable, easy-to-use instrument that is capable of field test use and rapid data reduction employing only a personal computer (PC).
Parallel Genetic Algorithms for Optimizing Resource Utilization in Large-Scale Construction Projects

This paper presents the development of a parallel multiobjective genetic algorithm framework to enable an efficient and effective optimization of resource utilization in large-scale construction projects. The framework incorporates a multiobjective optimization module, a global parallel genetic algorithm module, a coarse-grained parallel genetic algorithm module, and a performance evaluation module. The framework is implemented on a cluster of 50 parallel processors and its performance was evaluated using 183 experiments that tested various combinations of construction project sizes, numbers of parallel processors and genetic algorithm setups. The results of these experiments illustrate the new and unique capabilities of the developed parallel genetic algorithm framework in: (1) Enabling an efficient and effective optimization of large-scale construction projects; (2) achieving significant computational time savings by distributing the genetic algorithm computations over a cluster of parallel processors; and (3) requiring a limited and feasible number of parallel processors/computers that can be readily available in construction engineering and management offices.
A Novel Algorithm for Soil Image Segmentation using Color and Region Based System

In the recent research era data mining is a very essential research domain. The data mining techniques are used to extract significant knowledge in agriculture management. These techniques are time consuming and less expensive than the statistical techniques. Many Researchers develop efficient techniques to improve the productivity of agriculture. This paper developed a new segment method to segment the soil region from other information. This research introduced Color and Region Based segment method to separate the soil region from its background. To evaluate the proposed segmentation the five metrics are used dice coefficient, jaccard index, Sensitivity, Specificity and Precision. The new approach produced 98% accuracy, 98% Sensitivity and 98% Specificity.
Rockfill Structures Subject to Water Flow

Field and laboratory experience in Australia on flow through rockfill dams is summarized. This experience has resulted from the building of Laughlin Jack Dam, an inbuilt spillway structure, and from several other projects in which provision has been made to pass floodwaters over partly-completed structures on an emergency basis. Associated laboratory work has examined the law of head loss in flow through rockfill, and a nomogram is presented for the designer's convenience. The application to particular flow problems is examined and the interesting result of a linear head-discharge law for inbuilt spillway dams is noted. Current methods of stability analysis are shown to be inadequate and an alternative means of assessing structural performance is presented in the form of a stability design chart. A digest of experience on mesh reinforcement for flood overflow is included and a design basis is suggested.
Teste anaeróbio de Wingate: conceitos e aplicação

Anaerobic power and capacity are important variables to sport performance and daily activities, but the evaluation of these variables presents theoretical validity problems. However, the Wingate test has been used as an option to evaluate anaerobic power and capacity. This review aimed at analyse the theorectical concepts associated to the Wingate test and to present some considerations to its application. According to this review, the Wingate test can be used to evaluate the anaerobic power and capacity, although some aspects should be considered.
Lane Detection, Calibration, and Attitude Determination with a Multi-Layer Lidar for Vehicle Safety Systems

This thesis develops a lane detection algorithm which extracts lane markings from the road's surface in an e ort to ascertain the lateral position of the vehicle in the lane using a lidar, with the goal of being incorporated into a larger lane departure warning system. The presented algorithm underwent numerous highway tests. These tests include both a comparison of the reported position of the algorithm using the lidar to a high accuracy global positioning system (GPS) as well tests more commonly found in literature. The results of which show that the presented algorithm is capable of determining its position in the lane to a high degree of accuracy and consistency. Additionally, a novel lidar calibration method is developed which is capable of calibrating a 3D forward facing lidar mounted on a vehicle to a plane, through simply causing the vehicle to pitch. The presented algorithm will demonstrate the ability to determine vehicle attitude with sub degree accuracy. The algorithm is tested under a number of conditions ranging from in lab tests to on vehicle tests. During these test both attitude accuracy as well as processing time are analyzed. Finally, it is shown that this algorithm is capable of making highly accurate attitude calculations at a rate that is capable of running real-time.
An Appraisal of High Pressure Air Injection (HPAI) or In-Situ Combustion Results from Deep, High-Temperature, High-Gravity Oil Reservoirs

Abstract Performance data is presented and analyzed here from several large commercial HPAI projects that have demonstrated very high recovery efficiencies to data. Reported air requirements of 8 to 12 MCF per incremental barrel of oil demonstrate HPAI can be economically viable when applied to the proper reservoir. Produced gases generated from the application of HPAI on a higher-gravity reservoir are being economically utilized, thus significantly improving overall hydrocarbon recovery and economics. Unique analytical procedures developed for monitoring and projecting performance are presented, along with design, operating, environmental, and economic considerations in the selection of reservoirs where HPAI can be applied commercially. The HPAI process is compared with other more conventional enhanced oil recovery (EOR) processes in terms of overall displacement efficiencies and operational and economic considerations. The comparison indicates HPAI is an economically viable alternative to gas injection on many deeper, low permeability reservoirs that are too tight for water injection. HPAI is also applicable as a tertiary recovery process on many of the larger, deeper high-gravity reservoirs, when the large volumes of medium BTU gases produced can be effectively utilized. This paper also addresses the need for additional research and study focusing on HPAI.
Individualization of the parameters of the three-elements Windkessel model using carotid pulse signal

The haemodynamics of the arterial system can be described by the three-elements Windkessel model. As it is a lumped model, it does not account for pulse wave propagation phenomena: pulse wave velocity, reflection, and pulse pressure profile changes during propagation. The Modelflow© method uses this model to calculate stroke volume and total peripheral resistance (TPR) from pulse pressure obtained from finger; the reliability of this method is questioned. The model parameters are: aortic input impedance (Zo), TPR, and arterial compliance (Cw). They were obtained from studies of human aorta preparation. Individual adjustment is performed based on the subject’s age and gender. As Cw is also affected by diseases, this may lead to inaccuracies. Moreover, the Modelflow© method transforms the pulse pressure recording from the finger (Finapres©) into a remarkably different pulse pressure in the aorta using a predetermined transfer function — another source of error. In the present study, we indicate a way to include in the Windkessel model information obtained by adding carotid pulse recording to the finger pressure measurement. This information allows individualization of the values of Cw and Zo. It also seems reasonable to utilize carotid pulse, which better reflects aortic pressure, to individualize the transfer function. Despite its simplicity, the Windkessel model describes essential phenomena in the arterial system remarkably well; therefore, it seems worthwhile to check whether individualization of its parameters would increase the reliability of results obtained with this model.