Miracle-dz/UniFAR-FTUs huggingface dataset:
Quadrature direct digital frequency synthesis using fine-grain angle rotation technique

An area- and power-efficient quadrature direct digital frequency synthesis technique called fine-grain angle rotation is presented. To reduce the large bitwidth requirement of the angle rotation, multiple start points are introduced and the angle rotation is applied to the remaining small angle. A prototype chip occupies 0.16 mm2 in 0.25 µm 1P5M CMOS technology and consumes 90 mW at 400 MHz clock frequency, which is a significantly improved performance compared to previous state-of-the-art chips.
A Prediction Method of Hydroelastic Motion of Aircushion Type Floating Structures Considering With Draft Effect Into Hydrodynamic Forces

An aircushion type floating structure can prevent to enlarge the wave drifting force restraining the hydroelastic response of it in water waves. The floating structure should be large scale to incident waves in order to make the best use of such advantages, i.e. it is a very large floating structure. The linear potential theory is useful to easily handle the wave force etc. on the aircushion type floating structure theoretically because it is predicted that its theory can give good results of behaviors of water elevation within aircushions and pressure and of wave loads on the structure qualitatively. The authors have confirmed from our past model experiments that non-linear effect does not always increase but for some exceptions. A prediction method of hydroelastic responses for the aircushion type very large floating structure by using the three-dimensional linear potential theory is shown in this paper. The validity of the method is proven and the application of the method is investigated by comparing the theoretical results with the results of the past model experiments.Copyright © 2008 by ASME
Planning of Radiotherapy on Cone-Beam Computerized Tomography – Inter-Observer Contouring Variability and Hounsfield Unit Uncertainties

Inter-observer contouring variability and the influence of Hounsfield unit (HU) uncertainties on dose calculation based on cone-beam-CTs (CBCT) compared to planning CTs (PCT) were assessed. Differences between doses calculated with and without heterogeneity correction on PCTs and CBCTs were compared. Inter-observer contouring variability as well as the influence of HU differences on dose calculation were similar for all CT-types. The influence of inter-observer contouring variability on the results of dose calculation exceeds the influence of HU.
Tunable picosecond pulses from gain-switched grating-coupled surface-emitting laser

We have demonstrated a 60 nm-tunable, 160 psec-width, optical pulses from a 980 nm Grating Coupled Surface Emitting Laser (GCSEL) in an external cavity under nanosecond pump pulses. GCSEL is in-plane laser monolithically integrated with grating outcoupler. The grating was detuned from second order Bragg condition and it served as an efficient interface between planar waveguide and free space. Wavelength tuning was simply achieved by tilting an external flat mirror provided wavelength selective feedback to the GCSEL chip. Gain switched pulses with wavelength linewidth less than 0.1 nm and peak power of 200 mW have been obtained. In our experiments we measured a shortest optical pulses by reducing a distance between external mirror and laser diode chip. This corresponded with decreasing the effective laser cavity length and the cavity round-trip time as well.
Nonlinear observer of sideslip angle using a particle filter estimation methodology

Abstract The knowledge of the vehicle dynamic is important to improve the stability control of modern automotive engineering. Some key variables of the vehicle dynamic, such as the sideslip angle, are difficult to measure directly for technology or economic reasons. Lots of algorithms have been proposed to estimate these variables. To the best of our knowledge, most of these algorithms are based on linearization techniques, among which the extended Kalman filter is the most frequently used algorithm in the unmeasurable variable estimation for automotive control. In this paper, we propose two new nonlinear observers which uses the particle filter and the modified bootstrap filter to estimate the sideslip angle, respectively. These observers are based on the nonlinear double track model, in which the Dugoff model is used to describe the relation between the tire road forces and the sideslip angle. The good performances of these two observers are demonstrated by two classic experiments.
New Railway Connection below Brussels Airport

This paper discusses how access to Brussels Airport by car or by train from the Northern part of Belgium has become very difficult. For this reason, a new railway connection is being built below the airport. The new link will connect the existing train station to a new 24 kilometer long railway section from Brussels to Mechelen, which is located in the central reservation of the motorway between these two cities. The most important part of the connection is a 1,084 meter long twin tube bored tunnel that passes below the runway and taxiways of the airport. Because of this location, an adequate design load for aircraft actions had to be chosen that complies with modern aircraft characteristics. The paper gives particular attention to the boring of tunnels below an aircraft maintenance hangar with pile foundations. Although passive protective measures are taken in order to prevent damage to the building, an accidental loading case of concentrated pile loads on the tunnel lining must be considered. In addition, concrete cracking of lateral diaphragm walls of the cut and cover sections of the new railway tunnels are being considered.
Carbon Nanotubes: Good Candidate for VLSI Interconnects

Carbon nanotubes are being seen as a promising new class of electronic materials owing to the change in their properties with chirality and geometry of the nanotube. They are being considered for future VLSI applications due to their superior conductance and inductance properties which are important parameters while considering any material for an interconnect or via applications.In this paper, we report the variation in electrical and thermal conductance as well as inductance of a CNT with its geometrical features using a diameter dependent model. Also the dependence of conductance and inductance of a CNT on the type of nanotubes, tube length and tube diameter has been studied. As we know that at nanometre scale, the electrical and thermal transport properties of the components become extremely important as regards the functioning of the device and it is difficult to accurately measure these properties, therefore predictions using modeling and simulation play an important role in providing a guideline for design and fabrication of CNT interconnects and understanding the working of various other CNT based devices.
Interactions between Acetaminophen and Phytotherapies: Overview for the Rational Use of Phytotherapics

Paracetamol is the most used non-opioid analgesic in the world, and it is used to relieve mild to moderate pain. On the other hand, phytotherapy is the use of plants or herbal supplements with known pharmacological effects. It is common for patients to use phytotherapy in conjunction with conventional drugs. Drug interactions are pharmacological responses in which the effects of one or more medicinal products are altered by their joint administration. The objective of this study is to evaluate the interaction between phytotherapics and paracetamol when administered together. Methods: The protocol of this review was registered in the PROSPERO/ CRD42018100106 international database for systematic reviews. The research question for this study was: Is there an interaction between phytotherapics and paracetamol when given together? Six databases were screened: PubMed (Medline); Lilacs; Ibecs; BBO; Scielo; and Google Scholar, using the search strategy developed for PubMed (Medline). Results and Conclusion: Use of garlic, saffron, eucalyptus, Devil's Claw, pomegranate, ginger, celery, ginkgo, Kava-kava, salsa, and salgueiro could interfere with the effects of paracetamol, producing, for example, greater bleeding and liver failure, and putting the health of the patient at risk. However, the use of phytotherapy in combination with paracetamol has also shown benefits. For example, acetaminophen-induced oxidative damage can be alleviated by the use of some plants due to their antioxidant potential. Other plants have nephroprotective action and can inhibit the progression of hepatic injury. To promote the responsible use of phytotherapy, when used with conventional drugs, we must know the effects of this interaction.
The Construction Manager as a Leader

The construction manager must act as a leader throughout the life of the construction project. Acting as a leader enables the construction manager to plan, monitor, and control the progress of a project very effectively. The need for leadership ability in a construction manager depends on the tasks, teams, organizational environment, manager’s abilities, project resources, available time, and budget.
Planar wideband inphase power divider/combiner using modified Gysel structure

The design of a wideband inphase power divider/combiner is presented. It uses a modified Gysel structure for an increased band and a reduced number of isolation resistors to only one. The power divider has a simple structure that does not use any slots in the ground plane, and is thus fully compatible with microstrip circuits. Moreover, the device uses one external isolation resistor, and thus it is suitable for high-power microwave applications because of the easy connection of the isolation resistor to a suitable heat sink. A theoretical analysis is presented to find the values of the design parameters for wideband performance. The simulated and experimental results of the designed divider show 69% fractional bandwidth assuming 15 dB of isolation as a reference.
A Virtual Physics-Based Approach to Chemical Source Localization Using Mobile Robots

This paper presents a multi-robot cooperation strategy with virtual-physics force which includes three kinds of effort: structure formation force, goal force, and obstacle avoidant force. For swarm formation, a virtual robot is located at the center of the polygon. The innovative contribution of the strategy is that robots only having two kinds of forces: structure formation force and obstacle avoidant force while virtual robot having one kind of force: goal force. The motion of the virtual robot depends on the goal force which obtained from the sensor observations of the robots. Once the virtual robot moved to a new place, robots would also move with the forces acted on themselves as a single body and maintain a regular polygon formation. Simulation experiments are carried out, and the results show that the proposed strategy can effectively navigate the mobile robotics swarms to the chemical source in an indoor arena.
Women’s Safety Security System using Raspberry PI

Today in the present global scenario, a woman's word of security and safe life is a tough reality to happen, because women's sexual abuse has become a mainstream news in our everyday routine life. We should create a society in which women can travel openly and even at odd hours not of fear. While there are many rules and laws present, they are insufficient to provide the women in society with the full degree of security, safe and stable life. When the technology advances every day, it is a solution to other problems. And why can't we use these to create a stable and prosperous women's community. This project composed of components such as GSM, GPS, memory card, shock circuit, buzzer, camera, module Raspberry pi-3.
Measuring Organizational Performance as a Dependent Variable: Towards Methodological Best Practice

Organizational performance is one of the most important constructs in management research. We review the contexts that frame organizational performance as a dependent variable with specific emphasis on how it is operationalized and measured. The research contexts of past studies are firmly anchored around a multidimensional conceptualization of organizational performance related predominately to stakeholders, heterogeneous market circumstances, and time. The review of the operationalization and measurement of performance highlights the limited effectiveness of commonly accepted measurement practices in tapping this multidimensionality. By synthesizing the literature, the foundations are laid for the improved measurement of performance in management research. We conclude with a call for research that examines the effectiveness of triangulation utilizing multiple measures, applies longitudinal data and brings to bear alternative methodological formulations as means of appropriately aligning research contexts with the measurement of organizational performance. Validating these measurement approaches is an important agenda for further research. Previous Title: Measuring Organizational Performance in Management Research: A Synthesis of Measurement Challenges and Approaches
Future trends in microelectronics : the road ahead

Partial table of contents: FROM MICROELECTRONICS TO NANOELECTRONICS: ROADMAPS AND CHALLENGES. The 1980's and 1990's Microelectronics Logbook: Guidelines for the Future (D. Bois). The End of Scaling: Disruption from Below (D. Monroe). BEYOND CMOS: SOI, HETEROSTRUCTURES, THIN FILMS. Finite Frequency Shot Noise in Diffusive Wires (Y. Naveh). ALTERNATIVE PATHS TO NANOELECTRONICS: SELF--ORGANIZATION, MOLECULAR ENGINEERING. Quantum Dot Lasers: Experimental Results and Future Trends (N. Ledentsov). Organic Molecular Modification of Silicon Surfaces (G. Lopinski, et al.). THE MESSAGE IS THE MEDIA: STORAGE MATERIALS AND TECHNOLOGIES. Evolution of Nonvolatile Semiconductor Memory: From Floating--Gate Concept to Single--Electron Memory Cell (S. Sze). ELECTROMAGNETIC SYSTEMS: FROM MICROWAVES TO THE VISIBLE. Electromagnetic Systems Advances (Y. Park & M. Yoder). Polymer Optical Interconnects (L. Eldada). List of Contributors. Index.
Casual Versus Formal Uniforms: Flight Attendants' Self-perceptions and Perceived Appraisals by Others

Flight attendants were required to wear a casual uniform consisting of khakis and t-shirts in place of a formal one consisting of a suit. Within a year, management eliminated the casual uniform and returned to the formal uniform. The purpose of our research was to investigate whether type of uniform (formal versus casual) worn influenced flight attendants' role enactment and self-perceptions at work and in what ways, if any, the change to a casual uniform affected employee relationships with peers and passengers. Interview data were gathered from 37 flight attendants who experienced the switch from a formal to a casual uniform and then back again. Participants were asked to reflect on their experiences with co-workers and customers, as well as to reflect on their own perceptions and behaviors while wearing the formal and casual uniforms. Data were analyzed using the line-by-line approach (Van Manen, 1990). Flight attendants' behavior, self-perceptions, and feelings about their ability to carry out their role as flight attendants, as well as their perceived treatment by others were altered when wearing a casual uniform as compared to wearing a formal uniform.
Deep Rational Reinforcement Learning

Latest insights from biology show that intelligence not only emerges from the connections between neurons but that individual neurons shoulder more computational responsibility than previously anticipated. This perspective should be critical in the context of constantly changing distinct reinforcement learning environments, yet current approaches still primarily employ static activation functions. In this work, we motivate why rationals are suitable for adaptable activation functions and why their inclusion into neural networks is crucial. Inspired by recurrence in residual networks, we derive a condition under which rational units are closed under residual connections and formulate a naturally regularised version: the recurrent-rational. We demonstrate that equipping popular algorithms with (recurrent-)rational activations leads to consistent improvements on Atari games, especially turning simple DQN into a solid approach, competitive to DDQN and Rainbow.
Who speaks like a style of Vitamin: Towards Syntax-Aware Dialogue Summarization using Multi-task Learning

Abstractive dialogue summarization is a challenging task for several reasons. First, most of the important pieces of information in a conversation are scattered across utterances through multi-party interactions with different textual styles. Second, dialogues are often informal structures, wherein different individuals express personal perspectives, unlike text summarization, tasks that usually target formal documents such as news articles. To address these issues, we focused on the association between utterances from individual speakers and unique syntactic structures. Speakers have unique textual styles that can contain linguistic information, such as voiceprint. To do this, we approach ad-hoc analysis to explore speakers’ text styles and constructed a syntax-aware model by leveraging linguistic information (i.e., POS tagging), which alleviates the above issues by inherently distinguishing sentences uttered from individual speakers. Our approach allows for both data and model-centric investigation. Also, we employed multi-task learning of both syntax-aware information and dialogue summarization. To the best of our knowledge, our approach is the first method to apply multi-task learning to the dialogue summarization task. Experiments on a SAMSum corpus (a large-scale dialogue summarization corpus) demonstrated that our method improved upon the vanilla model. Consequently, we found that our efforts of syntax-aware approach have been reflected by the model.
Machine Learning-Assisted Digital PCR and Melt Enables Broad Bacteria Identification and Pheno-Molecular Antimicrobial Susceptibility Test

Toward combating infectious diseases caused by pathogenic bacteria, there remains an unmet need for diagnostic tools that can broadly identify the causative bacteria and determine their antimicrobial susceptibilities from complex and even polymicrobial samples in a timely manner. To address this need, a microfluidic- and machine learning-based platform that performs broad bacteria identification (ID) and rapid yet reliable antimicrobial susceptibility testing (AST) is developed. Specifically, this new platform builds on “pheno-molecular AST”, a strategy that transforms nucleic acid amplification tests (NAATs) into phenotypic AST through quantitative detection of bacterial genomic replication, and utilizes digital PCR and digital high-resolution melt (HRM) to quantify and identify bacterial DNA molecules. Bacterial species are identified using integrated experiment-machine learning algorithm via HRM profiles. Digital DNA quantification allows for rapid growth measurement that reflects susceptibility profiles of each bacterial species within only 30 min of antibiotic exposure. As a demonstration, multiple bacterial species and their susceptibility profiles in polymicrobial urine specimen were correctly identified with a total turnaround time of ~4 hours. With further development and clinical validation, this new platform holds the potential for improving clinical diagnostics and enabling targeted antibiotic treatments. Table of Contents Graphic
Operations sequencing in automated warehousing systems

The block sequencing strategy, where retrievals are sequenced and executed in blocks, is commonly assumed in many works on operations management in automated warehousing systems. The nearest neighbour heuristic is a popular sequencing method. In this work, the destructive effects of block sequencing on the system's performance: waiting times and queue length, in a non-deterministic environment, is demonstrated. Dynamic application of the nearest neighbour as a dispatching rule is proposed as an alternative. The performance level of the dispatching nearest neighbour rule is surprisingly high
Candlestick Technical Analysis on Select Indian Stocks: Pattern detection and Efficiency Statistics

Financial markets generate vast data every trading day. There are markets for equity shares, commodities, fixed income securities and currencies etc. Further, we do have organised markets for financial ddderivatives. The exponential growth of financial markets isthe order of the modern-day. Developments in information and communication technology (ICT) helped the growth of financial markets and its operations to greater heights. One of the financial market analysis is Candlestick Technical analysis also is known as Japanese candlestick charting. It is the oldest form of financial market analysis originated in japan. This study measured the occurrence and tested the efficiency of various bullish reversal candlestick patterns on 17 stocks of India’s leading stock market benchmark index NIFTY 50 for the period of 16 years from 2000 to 2015.Data mining with backtesting methodology is used to find the top 10 candlestick patterns with respect to the frequency of occurrence during the study period. The efficiency profitability is analysed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method , a multi-criteria decision making (MCDM) method on the backtested results for the 5-day holding period.The results of the study show that hammer (HMR), long engulfing pattern (LEB) and Rising window (RSW) are the top three ranked candlestick patterns.
Essentials of Management Information Systems: Organization and Technology

From the Publisher: This book addresses the constantly changing demands of information systems management. Firstly, this book covers relating MIS to management, the organization, and technology, focusing on the importance of integrating these elements; secondly, it covers emerging technologies and organizational trends; thirdly, gives examples taken from real businesses both domestic and foreign.
Design of synchronous generator voltage regulator based on h control theory

The power system is highly nonlinear system, which dynamics depends on system network configuration, system loading…etc. To overcome the above mentioned difficulties and to fulfill the performance requirements the different control methods are considered and tested for application to generating control unit. Application of the H optimization method to automatic voltage regulator is studied in this paper. Simulation results have been obtained under various operating conditions to show that the proposed H regulator can provide a better damping of electromechanical oscillations over a wide range of the operating conditions than the standard automatic voltage regulator. Simultaneously the H regulator allows achieving results very similar to situation, when the excitation system is equipped with the automatic voltage regulator and the power system stabilizer.
High-efficiency technique based on dielectrophoresis for assembling metal, semiconductor, and polymer nanorods

This paper presents a high-efficiency technique based on dielectrophoresis (DEP) for assembling metal, semiconductor, and polymer nanorods, which are synthesized by electrochemical deposition (ECD). The assembly patterns of these nanorods (width: 20 nm; length: 7 μm) were designed using a finite element method (FEM) simulation tool. Further, these nanorods were used in our experiment after their assembly patterns were fabricated. The assembly yield was found to be approximately 70% at an AC voltage of 30 Vp-p and at frequencies of 20 and 30 kHz, and the DC voltage prevented the random alignment of the nanorods at the edge of the assembly pattern. Moreover, the above-mentioned nanorods, which had different permittivities, were found to have similar assembly yields. The proposed method can be improved and applied to nanostructure device fabrication.