Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Performance and Realization Effort of a Very Sparse Matrix Converter to a Voltage DC Link PWM Inverter with Active Front End

∗ Member This paper undertakes a comparison of the very sparse matrix converter (VSMC) and the back-to-back voltage DC-link converter (BBC) for a permanent magnetic synchronous motor drive application. The VSMC has the same functionality as the conventional matrix converter but a reduced number of switches and lower control complexity. The two converters are designed, using the same IGBT power modules, with a switching frequency of 40kHz and a thermal rating of 6.8kW at an ambient temperature of 45 . From the design, the volume of the VSMC is 2.3 liters and is half that of the BBC. The efficiency for the VSMC at full load is 94.5% compared to 92% for the BBC. At very low output frequencies the output current of the VSMC can be increased by 25% above nominal compared to a 54% decrease for the BBC. Overall the VSMC offers advantages in volume and efficiency for motor drive applications requiring switching frequencies above 10kHz.
Bond Price Fragility and the Structure of the Mutual Fund Industry

We show that mutual funds with a large share of a bond issue sell their holdings of that issue to a lower extent when they experience redemptions, arguably because they attempt to avoid a drop in the bond price and the consequent negative feedback effects on the unsold part of their position. As a consequence, bond issues with more concentrated ownership experience higher returns during periods of turmoil and have lower price volatility. We provide evidence that the stabilizing trading of bond funds with a large share of an outstanding issue can help explain how the intervention of the Fed in the corporate bond market through the Secondary Market Corporate Credit Facility quickly stabilized both eligible and ineligible bonds. of Greenwood and Thesmar (2011), who show that stocks are exposed to non-fundamental shifts in demand if their owners face correlated shocks. Our results are robust qualitatively and quantitatively
Efficient Implementations of Rainbow and UOV using AVX2

A signature scheme based on multivariate quadratic equations, Rainbow, was selected as one of digital signature finalists for NIST Post-Quantum Cryptography Standardization Round 3. In this paper, we provide efficient implementations of Rainbow and UOV using the AVX2 instruction set. These efficient implementations include several optimizations for signing to accelerate solving linear systems and the Vinegar value substitution. We propose a new block matrix inversion (BMI) method using the Lower-Diagonal-Upper decomposition of blocks matrices based on the Schur complement that accelerates solving linear systems. Compared to UOV implemented with Gaussian elimination, our implementations with the BMI result in speedups of 12.36%, 24.3%, and 34% for signing at security categories I, III, and V, respectively. Compared to Rainbow implemented with Gaussian elimination, our implementations with the BMI result in speedups of 16.13% and 20.73% at the security categories III and V, respectively. We show that precomputation for the Vinegar value substitution and solving linear systems dramatically improve their signing. UOV with precomputation is 16.9 times, 35.5 times, and 62.8 times faster than UOV without precomputation at the three security categories, respectively. Rainbow with precomputation is 2.1 times, 2.2 times, and 2.8 times faster than Rainbow without precomputation at the three security categories, respectively. We then investigate resilience against leakage or reuse of the precomputed values in UOV and Rainbow to use the precomputation securely: leakage or reuse of the precomputed values leads to their full secret key recoveries in polynomial-time.
Resurfacing the donor sites of reverse sural artery flaps using thoracodorsal artery perforator flaps

Background The reverse sural artery (RSA) flap is widely used for lower extremity reconstruction. However, patients sometimes suffer from donor site complications such as scar contracture and paresthesia, resulting in dissatisfaction with the aesthetic outcomes. This study investigated the characteristics of donor site morbidity associated with RSA flaps and described our experiences of dealing with complications by performing resurfacing surgery using thoracodorsal artery perforator (TDAP) flaps. Methods From April 2008 to August 2018, a total of 11 patients underwent contracture release and resurfacing surgery using TDAP flaps due to donor morbidity associated with RSA flaps. All affected donor sites were covered with a skin graft, the most common of which was a meshed split-thickness skin graft (six cases). Results Eight of the 11 patients (72.7%) suffered from pain and discomfort due to scar contracture, and seven (63.6%) complained of a depression scar. The donor sites were located 6.3±4.1 cm below the knee joint, and their average size was 140.1 cm². After resurfacing using TDAP flaps, significant improvements were found in the Lower Extremity Functional Scale (LEFS) scores and the active and passive ranges of motion (AROM and PROM) of the knee joint. The LEFS scores increased from 45.1 to 56.7 postoperatively (P=0.003), AROM increased from 108.2° to 118.6° (P=0.003), and PROM from 121.4° to 126.4° (P=0.021). Conclusions Planning of RSA flaps should take into account donor site morbidity. If complications occur at the donor site, resurfacing surgery using TDAP flaps achieves aesthetic and functional improvements.
Recent Researches on Active Suspensions for Ground Vehicles

The increasing demand for safety and ride comfort, especially at high speeds, has led to the development of actively controlled suspensions in ground vehicles such as automobiles, railways and maglev vehicles. The active or semi-active suspension replacing passive elements with controlled actuators or variable elements can theoretically and practically improve vehicle vibration isolation properties, dynamical responses of pitch, roll and yaw motions, and road holding and guideway tracking performances. This paper reviews basic suspension problems, suspension control types, theoretical approaches to active suspension control and applications to practical systems.
The Time-Varying Relation between Stock Returns and Monetary Variables

The nature of the relation between stock returns and the three monetary variables of interest rates (bond yields), inflation and money supply growth, while oft studied, is one that remains unclear. We argue that the nature of the relation changes over time, and this variation is largely driven by shocks, with a change in risk associated with each variable shifting the pattern of behaviour. We show a change in the correlation between each of the three variables with stock returns. Notably, a predominantly negative correlation with bond yields and inflation becomes positive, while the opposite is true for money supply growth. The shift begins with the bursting of the dotcom bubble but is exacerbated by the financial crisis. Results of predictive regressions for stock returns also indicate a switch in behaviour. Predominantly negative predictive power switches temporarily to positive around economic shocks. This suggests that higher yields, inflation and money growth typically depress returns but support the market during periods of stress. However, after the financial crisis, higher inflation and money growth exhibit persistent positive predictive power and suggest a change in the risk perception of higher values.
Analysis of Temporal-Spatial Effect for Tunnel Construction in the Fault-Rupture Zone

Based on the existing research results, this paper proposes a temporal-spatial relational expression of displacements of tunnel perimeter during tunnel excavation. Taking Guanjiao tunnel as example, using the expression, temporal-spatial effect for Guanjiao tunnel in the fault-rupture zone are analyzed and studied. Comparison of theoretical solutions with measurements has proved that temporal-spatial effect for soft rock tunnel can be reflected by the expression and these results provide reasonable proposal for the optimum time to construct the secondary lining. ( the constructing time of secondary lining) and reserved deformation.
SUPPLY CHAIN PERFORMANCE ENHANCEMENT USING TOC-ENTROPY-GP APPLICATION

Many foundries are operating at lower levels than the installed capacities. A study has been conducted across 56 foundries in India and found that only 68% of installed capacities are being utilized. This is mainly because of lack of co-ordination among the supply chain partners. This study is an effort in identifying these gaps using TOC approach, which will help in the supply chain performance enhancement. Field of Supply Chain Management witnessed rapid growth in the recent past and proved to be a successful tool for the organization's growth. Success of supply chain improvement initiative lies in the selection of appropriate Key Performance Indicators (KPI’s) using appropriate supply chain framework. These performance indicators are to be measured, monitored and controlled with proper review mechanism. Know what to measure and what targets to set as critical first steps in improving Supply Chain performance, it is very difficult to identify what is to be measured from the list of supply chain metrics. It becomes more important to identify and measure the relevant KPI’s related to the area which we want to improve. KPI’s should be simple, easy to measure and intuitive. This research work starts with defining of supply chain, selection of SCOR framework for supply chain performance measurement, defining set of KPI’s under SCOR framework, measuring of these KPI’s and comparing with benchmark data’s. This comparison leads to the gaps which are due to the constraints in the system. These constraints are identified using the principles of TOC. Entropy, AHP and GP are used as mathematical aids in solving this multi criteria decision making problem.
Application of Genetic programming to predict an SI engine brake power and torque using ethanol- gasoline fuel blends

The main objective of this study is to predict the performance of a commercial spark ignition (SI) engine using multigene genetic programming (GP). To acquire data for training and testing of the proposed GP, a four-cylinder, four-stroke test engine was fueled with ethanolgasoline fuel blends. The fuels were blended with various percentages of ethanol (0, 5, 10, 15 and 20%), and the engine was operated at different engine speeds and loads. The experimental results showed that using ethanol–gasoline blend fuels increased the brake power and torque of the engine. Numerous runs were performed with model of GP and the performance of developed equations was evaluated. The optimum models were selected according to statistical criteria of root mean square error (RMSE) and coefficient of determination (R 2 ). The values of RMSE and R 2 for brake power were found to be 0.388 and 0.998. It was observed that the GP model can predict engine torque with correlation coefficient (R 2 ) in the range of 0.99–1 and RMSE was found to be 0.731. The simulation results demonstrated that GP model is a good tool to predict the engine brake power and torque under test.
Developments in uncooled IR technology at BAE SYSTEMS

Uncooled microbolometer thermal imaging sensor technology has begun to successfully address military, government and commercial applications in the real world. BAE SYSTEMS, located in Lexington MA, has been involved in the design and development of uncooled IR technology since the early 1980s. Our current MicroIRTM products are based on vanadium oxide (VOx) microbolometers. Thousands of uncooled microbolometer thermal imaging sensors are now being produced and sold annually. A the same time, applied research and development on the technology continues to improve the basic products and make them suitable for new applications. In this paper we report on the status and improvements achieved in the MicroIRTM product line, based on 320 X 240 element and 160 X 120 element FPA's with 46 μm pixel pitch. Other near term MicroIRTM products include 320 X 240 and 640 X 480 FPA's with 28 micrometers pixel pitch and measured sensitivities below 50 mK. In the systems area we discuss development and testing of a Light Thermal Weapon Sight (LTWS) for the U.S. Army, being developed by BAE SYSTEMS in partnership with Thales, based upon our uncooled MicroIRTM focal plane arrays (FPA) and systems. The LTWS prototypes were based upon our Standard Imaging Module SIM200, which employs our LAM2C, 320 X 240 element, microbolometer FPA. Finally we discuss the 480 X 640 element FPA and its application to the Heavy Thermal Weapon Sight application.
RGS12 Drives Macrophage Activation and Osteoclastogenesis in Periodontitis

Periodontitis is a complex inflammatory disease affecting the supporting structures of teeth and is associated with systemic inflammatory disorders. Regulator of G-protein signaling 12 (RGS12), the largest protein in the RGS protein family, plays a crucial role in the development of inflammation and bone remodeling. However, the role and mechanism(s) by which RGS12 may regulate periodontitis have not been elucidated. Here, we showed that ablation of RGS12 in Mx1+ hematopoietic cells blocked bone loss in the ligature-induced periodontitis model, as evidenced morphometrically and by micro–computed tomography analysis of the alveolar bone. Moreover, hematopoietic cell-specific deletion of RGS12 inhibited osteoclast formation and activity as well as the production of inflammatory cytokines such as IL1β, IL6, and TNFα in the diseased periodontal tissue. In the in vitro experiments, we found that the overexpression of RGS12 promoted the reprogramming of macrophages to the proinflammatory M1 type, but not the anti-inflammatory M2 type, and enhanced the ability of macrophages for migration. Conversely, knockdown of RGS12 in macrophages inhibited the production of inflammatory cytokines and migration of macrophages in response to lipopolysaccharide stimulation. Our results demonstrate for the first time that inhibition of RGS12 in macrophages is a promising therapeutic target for the treatment of periodontitis.
Thermal buckling actuator for micro relays

An actuator for micromachined relays has been investigated. The actuator is fabricated by the sealed-cavity process, a micromachining technology. It has a thin Si clamped-clamped beam which is deformed by buckling due to thermal SiO/sub 2/ built-in stress and thermal stress. The actuator size is 2.5 mm(L)/spl times/0.5 mm(W)/spl times/0.02 mm(T). 25-micron deflection at the center point and 2.0 gf force were obtained with 27 V/25 mA input power.
THE STRATEGY OF MUSCULAR PRE-TENSION DURING INITIAL BLOCK PHASE IN SWIMMING GRAB START

The purpose of this study was to examine the effects of muscular pre-tension on swimming grab start performance. Eight well-trained subjects participated in this study. They were instructed to perform three strategies (stretch-shortening cycle, purely concentric with and with no muscular pre-tension) in grab start. Two Peak-Performance high-speed video cameras operating at 120 Hz and one Kistler force plate (600 Hz) mounted on the starting block were synchronized to collect the data. The results showed that the block time was significantly shorter and horizontal velocity of taking off was larger in muscular pre-tension than in stretch-shortening cycle strategy. Based on the results of the present study, it has been suggested that using muscular pre-tension strategy during initial block phase in grab start could add some benefits of decreasing time.
Simultaneous independent temperature and strain measurement using one fiber Bragg grating based on the etching technique

A new method for the simultaneous and independent measurement of temperature and strain that employs only one FBG based upon the etching technique is demonstrated both theoretically and experimentally. The sensor using this scheme has a small sensor probe, and offers combined characteristics of compactness, effective cost, and easy fabrication. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 43: 478–481, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20507
Port throughput influence factors based on neighborhood rough sets: An exploratory study

Purpose: The purpose of this paper is to devise a efficient method for the importance analysis on Port Throughput Influence Factors. Design/methodology/approach: Neighborhood rough sets is applied to solve the problem of selection factors. First the throughput index system is established. Then, we build the attribute reduction model using the updated numerical attribute to reduction algorithm based on neighborhood rough sets. We optimized the algorithm in order to achieve high efficiency performance. Finally, the article do empirical validation using Guangzhou Port throughput and influencing factors’ historical data of year 2000 to 2013. Findings: Through the model and algorithm, port enterprises can identify the importance of port throughput factors. It can provide support for their decisions. Research limitations: The empirical data are historical data of year 2000 to 2013. The amount of data is small. Practical implications: The results provide support for port business investment, decisions and risk control, and also provide assistance for port enterprises’ or other researchers’ throughput forecasting. Originality/value: In this paper, we establish a throughput index system, and optimize the algorithm for efficiency performance.
Shape-Based Retrieval of Construction Site Photographs

Digital photographs of construction site activities are gradually replacing their traditional paper based counterparts. Existing digital imaging technologies in hardware and software make it easy for site engineers to take numerous photographs of “interesting” processes and activities on a daily basis. The resulting photographic data are evidence of the “as-built” project, and can therefore be used in a number of project life cycle tasks. However, the task of retrieving the relevant photographs needed in these tasks is often burdened by the sheer volume of photographs accumulating in project databases over time and the numerous objects present in each photograph. To solve this problem, the writers have recently developed a number of complementary techniques that can automatically classify and retrieve construction site images according to a variety of criteria (materials, time, date, location, etc.). This paper presents a novel complementary technique that can automatically identify linear (i.e., beam, column) and nonlinear (i.e., wall, slab) construction objects within the image content and use that information to enhance the performance of the writers’ existing construction site image retrieval approach.
Managing in Diversity: the Major Domain and Contemporary Transitions

Diversity has been a popular term both in theory and practice for many decades, especially with globalization. This chapter discusses diversity and diversity management with special reference to cultural diversity. The aim of this chapter is to understand: how diversity has been viewed and explained, what concepts and models explain diversity, what solutions are given in managing diversity, and what the future of managing cultural diversity might be. A targeted literature review was carried out for the purpose, using journal articles, selected books, theses and documents, as well as other open web sources. The review outcomes show that: diversity has been viewed differently in different times, it is mainly explained in terms of its cognitive and cultural dimensions, diversity management has been mainly targeted for performance improvements, and in the future managing cross-cultural diversity is likely to focus on enabling individuals to be more successful in different cultures, based on their cultural competencies and intelligence, rather than on ethnocentric views towards other cultures.
Self-disclosure in public and private groups of people with mental illnesses in Facebook

PurposeThe Internet enables various voices and opinions that previously did not participate in the community discourse to express themselves. People with mental illnesses make use of social networks to advance their special needs in varied ways. The study aims to examine the nature of the discourse that takes place in public and private groups of people with mental illnesses.Design/methodology/approachThe research corpus consisted of the content of 615 messages taken from public and private groups of people with mental illnesses in Facebook. Linguistic parameters (the total number of words, the number of words in the first person) were examined for each message. Two skilled judges classified the messages on a self-disclosure scale to determine the degree of disclosure of personal information, thoughts and emotions.FindingsThe results of the study indicate that the messages published in public groups are longer than the messages in private groups; however, the level of personal disclosure in messages written in private groups is deeper than in messages written in public groups. In addition, the level of self-disclosure in opening posts was found to be greater than the level of self-disclosure in comments.Practical implicationsIn the study, the authors focus on the ways people in excluded populations make use of virtual tools to advance both their personal and social needs.Originality/valueThe study is innovative, as it explores the discourse of people with mental illnesses in public and private groups on Facebook.
Preparation of silver nanoparticles by gamma Irradiation method using chitosan as stabilizer

Silver nanoparticles were prepared from (Ag+) aqueous solution by the method of γ-ray irradiation using chitosan as stabilizer. The saturated conversion dose (Ag+ à Ago) determined by UV-Vis spectroscopy was found to be about 16 kGy. The UV-Vis spectrum showed that an absorption peak at λmax = 400 nm due to surface plasma resonance. The image of transmission electron microscopy (TEM) showed that the silver nanoparticles were mostly spherical in shape and the average diameter was of about ~ 12 nm. The prepared colloidal silver nanoparticles solution was in good stability during storage time.