Miracle-dz/UniFAR-FTUs huggingface dataset:
Graphene: Fundamentals and emergent applications

Providing fundamental knowledge necessary to understand graphene's atomic structure, band-structure, unique properties and an overview of groundbreaking current and emergent applications, this new handbook is essential reading for materials scientists, chemists and physicists. Since the 2010 physics Nobel Prize awarded to Geim and Novosolev for their groundbreaking work isolating graphene from bulk graphite, there has been a huge surge in interest in the area. This has led to a large number of news books on graphene. However, for such a vast inflow of new entrants, the current literature is surprisingly slight, focusing exclusively on current research or books on previous "hot topic" allotropes of carbon. This book covers fundamental groundwork of the structure, property, characterization methods and applications of graphene, along with providing the necessary knowledge of graphene's atomic structure, how it relates to its band-structure and how this in turn leads to the amazing properties of graphene. And so it provides new graduate students and post-docs with a resource that equips them with the knowledge to undertake their research. It discusses graphene's fundamental structure and properties, acting as a time-saving handbook for validated research. It demonstrates 100+ high-quality graphical representations, providing the reader with clear images to convey complex situations. It reviews characterization techniques relevant to grapheme, equipping the reader with experimental knowledge relevant for practical use rather than just theoretical understanding.
Centrifugal & Rotary Pumps: Fundamentals With Applications

INTRODUCTION CLASSIFICATION OF PUMPS CONCEPT OF A PUMPING SYSTEM Liquid Transfer Input Power, Losses and Efficiency System Curve Pump Curve CENTRIFUGAL PUMP-FUNDAMENTALS Affinity Laws Helpful Formulas Per Centrifugal Pump Triangles Quiz #1: Velocity triangles Performance Curves Quiz #2: How much money did a maintenance mechanic save his plant? Performance Modifications Quiz #3: A Valve puzzle Underfiling and Overfiling Design Modeling Techniques Specific Speed (Ns) GEAR PUMPS - FUNDAMENTALS Quiz #4: Gear Pump Capacity Cavitation in Gear Pumps Trapping Methods Lubrication User Comments MULTIPLE SCREW PUMPS Three Screw Pumps Two Screw Pumps User Comments PROGRESSING CAVITY (SINGLE SCREW) PUMPS Principle of Operation Pump Performance Considerations Power Requirements Fluid Velocity and Shear Rate Fluid Viscosity Inlet Conditions Guidance for Proper Selection and Installation Progressing Cavity Pump Applications Troubleshooting User Comments METERING PUMPS Definition Features Where Are Metering Pumps Used? Types of Metering Pumps Components of Metering Pumps Metering Pumps Selection Control and Integration Accessories Typical Applications The Advantages of Rotary Pumps Case History #1: Double Suction Centrifugal Pump, Suction Problem Quiz #5: Are Ns and Nss dependent on speed? Case History #2: Lube Oil Gear Pump, Noise and Wear Reduction Quiz #6: Doubling the Gear pump life in 10 minutes? Case History #3: Progressing Cavity Pump Failures Troubleshooting "Pointers" as Given by Interviewed Pump Users and Plant Personnel Application Criteria and Specification Parameters Closing Remarks Appendices
One dimensional modeling of the thermoelastic behavior of shape memory alloys

Many facets of the behavior of shape memory alloys have enormously attracted scientists and researchers, studying and modeling their behavior are still problematic. It is in this context that several models have been developed using a lot of approaches ranging from microscopic to macroscopic scale. In this paper we have considered the superthermal effect (thermoelastic) of shape memory alloys and we have adopted a macroscopic approach. The model takes in account only macroscopic observations, it was built basing on thermodynamic laws of thermodynamics and simple assumptions in order to simplify as much as possible its use in engineering without losing accuracy. To validate the model, we have simulated numerically the response and compared it to experimental data.
Robust Design Review Conversations

Design reviews and executive conversations at the point of strategic decision-making share an important outcome: they both result in the (nearly) irrevocable allocation of resources to pursue a design concept or strategic option. Our study aims to contribute to the strategic decision- making scholarship by investigating the robustness of these conversations. We define a robust design review conversation as one in which the participants discuss evidence in favor of and against the option and at the same time propose new hypotheses to explain or resolve the evidence in favor of and against the option, hypotheses that can eventually be tested. We describe this second process as generative sensing. Whereas the first process is likely to rely on deductive reasoning from established rules to a definitive conclusion, the second is likely to rely on abductive reasoning, a form of reasoning that generates new hypotheses that are candidate parsimonious explanations for the evidence. We analyze and compare the design review conversations from a junior-level undergraduate course in industrial design and an entrepreneurship course. We find more instances of generative sensing in the industrial design review sessions than in the entrepreneurship project presentations. We believe that generative sensing serves three instrumental purposes: to resolve problems; to provide signals on option quality; and, to test the commitment to the present design concept.
The adverse effects of the visa exemption policy: evidence of immigration violations in Indonesia

ABSTRACT The government of Indonesia recently introduced an extensive visa exemption policy to 169 countries. While the policy boosts international tourist demand, it may impose extra costs on the economy in the form of immigration violations. This study investigates the visa exemption policy effects on immigration violations in Indonesia. Using Difference-in-Differences (DD) estimation that exploits the staggered implementation of the visa exemption policy, this is the first study to provide empirical evidence for the heterogeneous impact of a country's visa exemption policy across regions, levels of development, and levels of income. We found that the visa exemption policy increased the immigration violations rate by 44.2% on average. In addition, the estimation suggested a heterogeneous effect between origins at the regional, developmental, and income levels. Nevertheless, our simple cost–benefit showed that the benefit of the visa policy may be higher than the cost.
Twist Morphing: A Simulation Approach to Compare Twist Morphed Wing and Flap Configuration

Abstract: The aim of the work is to explore and justify an innovative concept in the niche of aerospace industry called as Wing Morphing. To narrow down the study, specifically twist morphing is taken into consideration. Wings with twist and their flap counterparts are compared in similar conditions and their aerodynamic efficiency is observed. The project implementation is done with XFLR5, a VLM solver software. The results show that this concept brings about an improvement in the aerodynamic efficiency without adding much to the drag penalty. Keywords: Wing Morphing, Twist Morphing, Cl (coefficient of lift), Cd (Coefficient of drag), Alpha (angle of attack)
Impact of cultural factors on people management strategies of Pakistani-owned SMEs in the UK

This research is based on an explorative study of cultural factors and their impact on people management strategies of Pakistani-owned SMEs in the UK. The topic of the research has been investigated through in-depth literature review, case studies and questionnaire-based field survey. The literature review provided theoretical insights to the study and empirical investigation generated a wide range of information about practical scenario of these companies. The triangulation approach of the study helped in offsetting weaknesses of a specific method by strengths of other methods. Keeping in view nature and requirements of the research topic, the researcher preferred inductive approach (theory building) instead of deductive approach (theory testing). The deductive approach is usually linked with natural sciences; whereas, inductive approach works well with social sciences. The current area of the research was purely subjective (closely linked with social sciences) requiring qualitative data through case studies and field surveys, therefore the researcher preferred interpretative philosophy and inductive approach which proved very effective in data gathering and analyzing process. The empirical investigation discovered a range of cultural factors such as religion, values, beliefs, traditions, cross-culture imperatives, languages and communication patterns playing a pivotal role in evolving and shaping HR related strategic frameworks of Pakistani-owned SMEs in the UK. The study emphasised the role of entrepreneurs as cross-cultural mediators seeking to develop their multiple identities to deal better with their multi-ethnic employees and customers. The triangulation of integrating the findings emerged out of case studies, field survey and literature review reflect a close resemblance between results of case studies and questionnaire survey; however, some dissimilarities have been found between empirical results and the results derived out of the literature review. The study contributes to the existing body of knowledge by furthering our substantive understanding about HRM, culture and cultural influences on HR strategies and practices of SMEs. It provides some practical lessons to SMEs in the UK in general and ethnic minority SMEs in particular. Also the study paves the way for students and researchers to conduct further research in the area to overcome any limitations found in the findings.
Why the hand motion proceeds the target in tracking experiment

In the present study, to shed light on a role of positional error correction mechanism and prediction mechanism in the proactive control discovered earlier, we carried out a visual tracking experiment, in which the region where target was shown, was regulated in a circular orbit. Main results found in this research were following. Recognition of a time step, obtained from the environmental stimuli, is required for the predictive function. The period of the rhythm in the brain obtained from environmental stimuli is shortened about 10%, when the visual information is cut-off. The shortening of the period of the rhythm in the brain accelerates the motion as soon as the visual information is cut-off, and lets the hand motion precedes the target motion. Although the precedence of the hand in the blind region is reset by the environmental information when the target enters the visible region, the hand precedes in average the target when the predictive mechanism dominates the error-corrective mechanism.
Seam Framework: Experience the Evolution of Java EE

Fully Updated to Cover Major Enhancements to Seam 2.x In Seam Framework, Second Edition, the authors of the leading guide to Seam programming have systematically updated their text to reflect the major improvements introduced with Seam 2.x. This author teamall key Seam project contributorsteach Seam 2.x through detailed example applications that reveal how Seam simplifies many tasks that were previously difficult or impractical. Their robust descriptions are complemented by in-depth feature discussions that demonstrate how to use Seams power to the fullest. Whether youre new to Seam programming or a seasoned Seam developer who wants to achieve deeper mastery of Seam 2.x, this book will be an indispensable resource. Coverage includes Using improvements to Seams conversation model, transaction management, and other features Enhancing security, performing end-to-end validation, and providing custom exception pages Using Quartz to execute timer jobs in your application Generating bookmarkable RESTful Web pages the easy way Developing highly scalable applications with Seam 2.xs new multilayer caching Simplifying development with Groovy, the scripting language that runs directly on the JVM Using jBPM business processes to improve page flow Previewing Web Beans (JSR-299), the future core of Seam that will transform Java EE Web development *Download source code for this books case study application at solutionsfit.com/seam.
A Learning-Based Optimization Approach for Autonomous Ridesharing Platforms with Service-Level Contracts and On-Demand Hiring of Idle Vehicles

Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Because of supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately because service levels are, to some extent, bounded by fleet size. With the emergence of autonomous vehicles, however, the characteristics of mobility services change and new opportunities to overcome the prevailing limitations arise. In this paper, we consider an autonomous ridesharing problem in which idle vehicles are hired on-demand in order to meet the service-level requirements of a heterogeneous user base. In the face of uncertain demand and idle vehicle supply, we propose a learning-based optimization approach that uses the dual variables of the underlying assignment problem to iteratively approximate the marginal value of vehicles at each time and location under different availability settings. These approximations are used in the objective function of the optimization problem to dispatch, rebalance, and occasionally hire idle third-party vehicles in a high-resolution transportation network of Manhattan, New York City. The results show that the proposed policy outperforms a reactive optimization approach in a variety of vehicle availability scenarios while hiring fewer vehicles. Moreover, we demonstrate that mobility services can offer strict service-level contracts to different user groups featuring both delay and rejection penalties.
VARIABILITY OF INTERIOR NOISE LEVELS IN PASSENGER CARS

Noise level scatter, often 10db or more in nominally identical motor vehicles, is assessed in terms of structural-acoustic characteristics. A review of the potential sources of variability indicates that only two appear to be significant: damping and phase angle. These parameters define the polar vector diagrams for determining the panel participation in the generation of noise at a point. The sources which affect coupling with the cavity mode via shifts in panel natural frequency are seen to be of much lesser significance. Finally, scatter of noise levels deriving from both damping and phase angle sources may be reduced by increasing the mean panel damping at low frequencies. For the covering abstract of the conference see TRIS 451834. (TRRL)
Characterization and Modeling of III-V MOS Capacitors : : Interface States and Bulk Oxide Traps

Author(s): Chen, Han-Ping | Abstract: As the Silicon based MOSFET scaling is close to an end, high mobility III-V MOSFET is considered one of the most promising candidates in continuing Moore's Law. By replacing the channel from Silicon to III-V high mobility materials, it is expected that the on-current can be further increased, or the same on-current level can be achieved with decreased VDS, which lowers power consumption. However, the high interface and bulk-oxide trap densities are still major issues. These two kinds of trap states deteriorate device performance by lowering device on-current, increasing inverse subthreshold slope, and causing hysteresis (history effect). Fabricating high quality dielectric with low defect density on the interface and inside high-k dielectric is still a critical challenge which needs to be overcome. In this dissertation, two trap models are introduced to simulate the MOS capacitor C-V and G-V dispersions : full interface state model and distributed bulk-oxide trap model. One major application of the models is extracting the interface and bulk-oxide trap densities. Therefore, they can be applied to assist the researchers in the field monitoring the results after certain fabrication procedures. Furthermore, the models can be used to interpret the measuring data, such as the linear capacitance dispersion in accumulation region from bulk-oxide traps, the high-low capacitance dispersion in depletion from interface traps, and the C-V humps in n-type InGaAs MOS from depletion to inversion from the combination effect of increasing interface trap densities and majority carrier time constants. Such "know why" is the key of success in all the field of scientific study assisting the "know how" of engineering work. Furthermore, the insulator thickness effect, temperature effect, and light illumination effect on MOS C-V dispersions are also studied. It is shown that the data in all the conditions can be satisfactorily explained by the frame work of the small signal models with the same trap density. Other trap extraction methods and models, such as Terman method and conductance method for interface traps, and lumped circuit model, including Hasegawa model, for bulk-oxide traps, are also reviewed and commented in the dissertation
Precast Concrete Elements for Accelerated Bridge Construction: Volume 2. Laboratory Testing, Field Testing, and Evaluation of a Precast Concrete Bridge: Madison County Bridge

The importance of rapid construction technologies has been recognized by the Federal Highway Administration (FHWA) and the Iowa Department of Transportation Office of Bridges and Structures. Recognizing this, a two-lane single-span precast box girder bridge was constructed in 2007 over a stream. The bridge’s precast elements included precast cap beams and precast box girders. Precast element fabrication and bridge construction were observed, two precast box girders were tested in the laboratory, and the completed bridge was field tested in 2007 and 2008.
Securities Custody Services: International Experience

The relevance of the study is explained by the underdevelopment of the securities market in Ukraine, which barely started establishing the institutions and mechanisms of a market economy. Ukraine has a decentralised system of depository services, which hinders the development of the stock market, because the decentralised system of accounting for rights to securities complicates the procedure of transactions and increases risks. The purpose of the study was to investigate the international experience of securities depository in the rapidly expanding securities markets, especially in Eastern Europe and Asia, their technology, identifying their new functionality and dominant models of their architecture in the context of regulation, interaction of market participants and protection of their property rights. The main methods of study of international experience in the provision of securities custody services were empirical, analytical, and inductive methods, which together allowed describing the systems of securities circulation in different countries, analysing them to identify common features that are important for their implementation in Ukraine for integration into the global system of redistribution of financial resources. The study considered various securities storage systems, national depository systems, covered the features of national mechanisms of interconnection of all participants in the securities market, identified conceptual problems of securities market organisation in Ukraine, substantiated the need to adapt international experience for institutional development of the national depository system of Ukraine. The materials of the study have practical value for the development of the depository system in Ukraine as a basis for the functioning of the securities market, compatible with technological international depository systems in full functionality, which guarantees investors' property rights and enables Ukraine to become a full-fledged redistributor of global financial resources and, accordingly, to attract investments for economic development pursuant to international rules and standards of “transparent” functioning of securities markets, thus putting institutional barriers to corruption influences. The comparative analysis of depository systems of different countries allowed covering weaknesses in the existing depository system of Ukraine, outlining the conceptual approaches to legislative and organisational actions on its development
Happy Applicants Achieve More: Expressed Positive Emotions Captured Using an AI Interview Predict Performances

Do happy applicants achieve more? Although it is well established that happiness predicts desirable work-related outcomes, previous findings were primarily obtained in social settings. In this study, we extended the scope of the "happiness premium" effect to the artificial intelligence (AI) context. Specifically, we examined whether an applicant's happiness signal captured using an AI system effectively predicts his/her objective performance. Data from 3,609 job applicants showed that verbally expressed happiness (frequency of positive words) during an AI interview predicts cognitive task scores, and this tendency was more pronounced among women than men. However, facially expressed happiness (frequency of smiling) recorded using AI could not predict the performance. Thus, when AI is involved in a hiring process, verbal rather than the facial cues of happiness provide a more valid marker for applicants' hiring chances.
THE CONSISTENCY OF FORCE AND MOVEMENT VARIABLES AS AN INDICATOR OF ROWING PERFORMANCE

A portable biomechanical collection system was used to test fourteen male, coxless pair rowing crews under simulated race speeds. The data was used to examine if the consistency of 8 biomechanical variables, calculated using a modified Coefficient of Variation (CoV), were related to the overall performance, in terms of velocity, of the crews. It was found that 6 of the variables demonstrated a significant correlation to overall boat speed, with the consistency of Normal Gate Force (r=0.737), Handle Velocity (r=0.758) and Trunk Velocity (r=.757) showing very strong correlation. It was concluded that while not imperative to the outcome, consistency of force application and movement patterns may be important in rowing performance.
Stability Augmentation and Fault Tolerance for a Hexapod Underwater Vehicle

AQUA is an underwater hexapod robot that uses paddles to propel and orient itself. The system is typically operated remotely by a pilot, with feedback from cameras and onboard sensors. In this work, a stability augmentation system was developed and evaluated on the robot. In order to study the stability of the system, its model was linearized about a nominal equilibrium at several different cruising speeds. Since the robot is never truly in equilibrium due to its oscillating paddles, this required a novel approach. The stability of the unaugmented vehicle was evaluated and improved using sensor feedback. The stability augmentation system was then modified to compensate for possible faults that could occur during the operation of the robot. The failure of a leg was investigated by analyzing the additional drag forces created by the fault. The controller was implemented on the robot with encouraging results.