Miracle-dz/UniFAR-FTUs huggingface dataset:
Design consideration of the active-clamp forward converter with current mode control during large-signal transient

The design issues of the active-clamp forward converter circuit with peak current mode control in small signal stability and large-signal transients are discussed. A design procedure is provided to solve circuit issues under these conditions. It is the first time that with the aid of simulation, we are able to optimize the circuit design of the active-clamp forward converter for large-signal transient behaviors.
A Systematic Review of the Clinical Efficacy of Micro-Focused Ultrasound Treatment for Skin Rejuvenation and Tightening

The demand for non-invasive skin-tightening techniques is continuously on the rise, as now numerous patients seek safe and effective alternative body, neck, and facial aesthetic surgical procedures. Micro-focused ultrasound (MFU) has been recently introduced as a novel energy modality for skin rejuvenation to produce a more significant wound healing response at various levels, including strong collagen remodeling and long-lasting clinical response. This literature study was intended to find the role and efficiency of using micro-focused ultrasound therapy in male and female patients aged 35-65. A total of 139 articles were extracted from the PubMed and Science Direct electronic databases. After a thorough evaluation and following the exclusion and inclusion criteria, 10 full-text articles were relevant to the study. The goal was to analyze and examine the effects and benefits of MFU treatment to improve the skin. In addition, all of the patients were evaluated to report the harms and risks associated with MFU treatment. The literature study results revealed that significant improvements in the overall aesthetics of sagging of the mid and lower face could be accomplished by using a micro-focused ultrasonic treatment plan. Patients report no considerable side effects, and the results were also long-lasting. MFU treatment can activate deeper tissues without causing injury to the epidermis, which sets it apart from all other skin tightening methods. Better improvements rates have been reported by both patients' self-assessment and clinical investigators' evaluation.
The strategy method conflates confusion with conditional cooperation in public goods games: evidence from large scale replications

The strategy method is often used in public goods games to measure individuals’ willingness to cooperate depending on the level of cooperation by others (conditional cooperation). However, while the strategy method is informative, it risks being suggestive and inducing elevated levels of conditional cooperation that are not motivated by concerns for fairness, especially in uncertain or confused participants. Here we make 845 participants complete the strategy method two times, once with human and once with computerized groupmates. Cooperation with computers cannot rationally be motivated by concerns for fairness. Worryingly, 69% of participants conditionally cooperated with computers, whereas only 7% conditionally cooperated with humans while not cooperating with computers. Overall, 83% of participants cooperated with computers, contributing 89% as much as towards humans. Results from games with computers present a serious problem for measuring social behaviors.
SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self

Scene flow tracks the 3D motion of each point in adjacent point clouds. It provides fundamental 3D motion perception for autonomous driving and server robot. Although red green blue depth (RGBD) camera or light detection and ranging (LiDAR) capture discrete 3D points in space, the objects and motions usually are continuous in the macroworld. That is, the objects keep themselves consistent as they flow from the current frame to the next frame. Based on this insight, the generative adversarial networks (GAN) is utilized to self‐learn 3D scene flow without ground truth. The fake point cloud is synthesized from the predicted scene flow and the point cloud of the first frame. The adversarial training of the generator and discriminator is realized through synthesizing indistinguishable fake point cloud and discriminating the real point cloud and the synthesized fake point cloud. The experiments on Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI) dataset show that our method realizes promising results. Just as human, the proposed method can identify the similar local structures of two adjacent frames even without knowing the ground truth scene flow. Then, the local correspondence can be correctly estimated, and further the scene flow is correctly estimated. An interactive preprint version of the article can be found here: https://www.authorea. com/doi/full/10.22541/au.163335790. 03073492.
A Measure-Correlation-Predict Method for Turbulence Intensity Distribution Assessment

A method based on a multiple correlation analysis is proposed in this work that is able to offer a long-term assessment of turbulence intensity (TI) distribution at a local meteorological mast using a reference wind dataset. The MCP analysis uses a joint probability distribution function which is derived from wind speed, wind direction and TI data which are simultaneously recorded at the two measurement sites. Validation has been carried out using two met-masts which have a high level of correlation in terms of wind speeds. The algorithm properly corrects the local wind dataset, by estimating the “per sector” and “per speed” long-term distribution of TI; this was proved using different short-term data samples. Other tests, opportunely arranged using artificial wind data, help to understand the score of the method when multiple variables are used, highlighting that fine assessment can be always achieved when all the used variables are dependent on each other.
Direct field orientation controller using the stator phase voltage third harmonic

A novel direct field orientation controller for induction machines based on the determination of the spatial position of the air gap flux from the third-harmonic component of the stator phase voltages is presented. The control utilizes spatial saturation harmonic components rotating at synchronous frequency which are generated in the air gap flux when the machine operates in a saturated condition. When the machine is wye connected, the sum of the three phase voltages results in a signal dominated by the third harmonic and a high-frequency component due to the rotor slot ripple. Extensive experimental results showing field-oriented operation of an induction machine are presented. <<ETX>>
The Evolution and Maturation of Operational Teams in a Training Environment

Several models of team development were synthesized from the team performance/team training literature as the basis for a working model of Team Evolution And Maturation (TEAM). The TEAM methodology is designed to investigate the development of teamwork during training of operational teams. The TEAM model suggests that the life cycle of a team consists of as many as seven developmental stages. The theoretical foundations and description of the model are discussed as well as its relevance to team training.
Microbubble powered actuator

A micromechanical, bubble-powered actuator is presented which can produce mechanical displacements as large as 140 mu m of a polysilicon actuator plate in a direction perpendicular to the substrate with as little as 8.4 mA input current. This device has been designed, fabricated, and successfully tested to have controllable displacement in a nonconducting liquid (Fluorinert FC43). The principle of actuation is the local heating of a polysilicon line resistor (immersed in liquid) in order to create a single, controllable microbubble that expands and lifts the actuator plate formed at the end of a microcantilever beam. The displacement of this actuator is stable and is controllable by adjusting the input current, which changes the bubble size and, subsequently, changes the actuator plate displacement. Linear beam theory has been used to calculate the displacement of the actuator plate and a simplified model has been used to explain the thermal behavior of the bubble. <<ETX>>
Lepas Mentioned Under Ritucharya–A Short Review

Ayurveda is the science that provides knowledge about life and longevity. It is one of the traditional medical systems which are very close to nature. Ayurvedahas two objectives:-alleviation of disorders in the diseased and maintenance of health. Prevention of diseases is one of the main principles of Ayurveda. Various healthy regimens, which people had practised once, are not in current practice and they are deflecting from nature leading to many lifestyle disorders. Skin, being largest organ, is exposed to various environmental factors like heat, sunlight, humidity etc plays a pivot role in protection and maintenance of health. According to Ayurveda, skin is Sparshanendriya Adhisthana (responsible for tactile sensation) and has the dominancy of Vata dosha.The prevalence of skin disease in general population in India varies from 10 to 12%. Skin disease the fourth leading cause of non-fatal disease burden worldwide. Ritucharya describes the guidelines about the dietary and behavioural regimen which should be adopted in different seasons. Lepas are those formulations meant for topical application. Based on their site of application, mode of application etc Lepas areclassified in many ways. This review elaborately describes Lepas mentioned in Ayurvedic classical texts with special reference to seasons.
Stress control system for composite insulators based on ZnO-technology

Stress grading of the flashover distance of hollow insulators and composite tension insulators is necessary to improve the electrical and environmental performance and to reduce material needed. Hollow composite insulators are generally designed in such a way that the outer stress is below the breakdown stress of air. Due to this requirement a large diameter of the insulator is needed. To achieve a slim hollow insulator, which is only designed on required mechanical properties, stress grading of the flashover distance is needed. This stress grading can be achieved by a stress control coating based on ZnO. Design criteria for hollow insulators to improve the impulse withstand behaviour and reduction of the leakage current under environmental conditions are discussed in this paper.
KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects

This paper introduces an open source speech dataset, KeSpeech, which involves 1,542 hours of speech signals recorded by 27,237 speakers in 34 cities in China, and the pronunciation includes standard Mandarin and its 8 subdialects. The new dataset possesses several properties. Firstly, the dataset provides multiple labels including content transcription, speaker identity and subdialect, hence supporting a variety of speech processing tasks, such as speech recognition, speaker recognition, and subdialect identiﬁcation, as well as other advanced techniques like multi-task learning and conditional learning. Secondly, some of the text samples were parallel recorded with both the standard Mandarin and a particular subdi-alect, allowing for new applications such as subdialect style conversion. Thirdly, the number of speakers is much larger than other open-source datasets, making it suitable for tasks that require training data from vast speakers. Finally, the speech signals were recorded in two phases, which opens the opportunity for the study of the time variance property of human speech. We present the design principle of the KeSpeech dataset and four baseline systems based on the new data resource: speech recognition, speaker veriﬁcation, subdialect identiﬁcation and voice conversion. The dataset is free for all academic usage.
Epidemiology and microscopic diagnosis of tuberculosis in pigs and small ruminants slaughtered at Bobo-Dioulasso abattoir, Burkina Faso

Bovine tuberculosis (bTB) is a zoonotic, infectious, chronic and contagious disease, caused by Mycobacterium bovis that mainly affects cattle. This pathology has a negative impact on animals and animal products trade. Unfortunately, in Burkina Faso where agriculture and livestock sectors represent around 80% of the socio-economic activities, the real situation of the disease is not well known especially in small ruminants and swine. Thus, our study focused on both the epidemiology and the microbiological diagnosis of tuberculosis (TB) in small ruminants and pigs slaughtered at Bobo-Dioulasso abattoir. A prospective study was conducted between August 2017 and December 2017. Epidemiological data collection was performed during routine meat inspection; moreover, samples were taken and transported to the Bacteriology laboratory of Centre Muraz for microbiological analyses. This diagnosis consisted in search of Acid Fast Bacilli (AFB) using the hot Ziehl–Neelsen staining. Out of a total of 14 648 small ruminants and 2430 pigs slaughtered during the study period, 156 and 17 had lesions suggestive of bTB with prevalence of 1.07% and 0.7%, respectively. Females and those between 2 and 4 years old were mainly infected. The most affected organs were: lungs, liver, spleen and lymph nodes. Finally, microscopy revealed 43.35% (75/173) of positive cases for AFB. These results confirm the presence of bTB in small ruminants and pigs in Burkina Faso. Efforts must still be made in the fight against this zoonosis in order to limit its economic and public health impacts.
Establishment of Critical Success Factors for Construction Partnering

Research into the use of partnering in construction has become ubiquitous; however, a framework is needed that can be used to identify critical success factors (CSFs) that contribute to the successful use of partnering in projects. Based on a review of the partnering literature within the management discipline, a partnering framework has been developed to identify the CSFs for construction parties implementing partnering arrangements. The framework highlights the influence of contextual characteristics and management skills on partnering success. The CSFs identified and discussed in the framework are effective communication, conflict resolution, adequate resources, management support, mutual trust, long-term commitment, coordination, and creativity. The degree of success of partnering can be determined by subjective measures (e.g., perceived satisfaction of partners' expectations) and objective measures (e.g., cost variation and rejection of work). A case for initiating partnering is also presented, toget.
An Assessment of the Spatial Variability of Greenhouse Gas Emissions from Landfills: A GIS Based Statistical-Numerical Approach

Emission of carbon dioxide and methane, two of the most important greenhouse gases, from landfills is a major concern. In this paper, a pseudo 3-D model, incorporating a 2-D geostatistical technique and a 1-D numerical model, was developed to study the spatial variability of the source strength of landfill gas. The 1-D model was used to represent advective, dispersive and reactive transport of landfill gas across the final cover of a landfill. The 1-D model was combined with a 2-D geostatistical technique to consider spatial distribution of landfill gas. The resulting pseudo 3-D model was developed within the ArcInfo GIS platform. Laboratory and field experiments were conducted to obtain data for calibration and verification of the model. The results indicated that the pseudo 3-D statistical-numerical model could be a useful tool to determine the source strength of landfill gas and to identify the location of hotspots beneath a landfill cover. A discussion of field applications and limitations of the model is also included.
The Effects of Serous Macular Detachment on Treatment of Patients with Macular Edema Secondary to Central Retinal Vein Occlusion

Purpose: To evaluate the effect of serous macular detachment (SMD) on anti-VEGF treatment in patients with macular edema (ME) secondary to central retinal vein occlusion (CRVO) Materials and Methods: 46 eyes of 46 patients with ME due to CRVO were reviewed retrospectively. The patients were divided into two groups according to presence of the subretinal fluid in optical coherence tomography (OCT): SMD and non-SMD. Both groups were treated with three monthly anti-VEGF (aflibercept or ranibizumab) injections followed-up in PRN regimen. At baseline and after every injection bestcorrected visual acuity (BCVA), central macular thickness (CMT), anatomical findings were noted from optical coherence tomography (OCT) images and patients’ files. Results: 19 eyes in SMD and 27 eyes in non-SMD groups were studied. The groups were similar in terms of baseline characteristics (p>0.05). Both groups had improvement in BCVA and decrease in CMT during treatment period (p<0.001). Although SMD group had higher BCVA than non-SMD group at all time, this difference was statistically significant only at first and second months (p=0.024 and p=0.023, respectively). The change in BCVA during treatment period was higher in SMD group than non-SMD group (p=0.047). The groups were similar in terms of anatomical gain (p>0.05). Conclusion: The patients with SMD had higher anatomical gain and BCVA than patients with non-SMD during the first months of the antiVEGF treatment. SMD has good impact on visual gain in patients with CRVO.
Is more diverse always the better? External knowledge source clusters and innovation performance in Germany

ABSTRACT This study gives a new identity to a knowledge search mode named search diversity and investigates how it is more rigorous in capturing knowledge heterogeneity in comparison to general assessment of search breadth. By distinguishing between diversifying and expanding search domain as building blocks of broadening search scope, this study proposes a hybrid search strategy when it comes to analysis of the link between external search and innovation performance. While a positive trend is found for search breadth and innovation in this article, search diversity indicates a curvilinear pattern but with a steeper positivity than search breadth. A prerequisite extension of this article is to use a clustering method among different external sources acting as a reference to codify a diversity index for measuring the new search scheme. In addition, the effect of usage of each cluster on innovation is empirically illustrated. This article suggests that the optimal hybrid search outlook in respect to innovation is built up by initially increasing diversity in search up to the downturn point and then shifting into usage of same source clusters without helping diversity. This analysis provides practitioners with additional insights for managing external sourcing strategies and leveraging innovativeness.
PARTICIPATORY DEVELOPMENT OF FUTURE-ORIENTED POLICY CONFIGURATIONS FOR CLIMATE CHANGE AND MOBILE GAMING

Further to the Kyoto treaty, many nations have committed themselves to challenging targets for reducing CO2 emissions as a step towards the mitigation of harmful consequences of climate change. In this paper, we report a policy workshop where Finnish experts took stock of a national research and technology development programme on climate change and employed Internet-based decision aiding tools in the development of policy recommendations: for example, they used multidimensional weighting procedures to characterise requisite policy measures across four application domains. More generally, we argue multidimensional weighting procedures can assist in the development of policy configurations that link private and public actions for the attainment of future targets. Towards this end, we structure relevant dimensions in the fostering of an industrial cluster of mobile gaming and present an illustrative application of how the resulting framework can be plausibly applied to derive priorities for research and technology development.
Refill friction stir spot welded AA5754-H22/Ti-6Al-4V joints: Microstructural characterization and electrochemical corrosion behavior of aluminum surfaces

The present study assessed the influence of refill friction stir spot welding (RFSSW) process on the microstructure and electrochemical corrosion behavior of the AA5754-H22 alloy surface of an AA5754-H22/Ti-6Al-4 V overlapped joint. The results demonstrate that the RFSSW process promotes substantial microstructural changes along the welded joint, which, in turn, reflect directly on the mechanical properties and corrosion behavior of distinct welding regions. The potentiodynamic polarization tests and electrochemical impedance spectroscopy measurements indicate that the stir zone region has better corrosion resistance than the other RFSS welded regions [heat affected zone and base metal] due to higher homogeneity and microstructure refinement. The achieved results are evidence that the RFSSW process is an interesting alternative for the welding of overlapping dissimilar joints.
Accelerometer Sensor Based Fall Sensing for Elderly

Fall can be recognized as an abnormal or action of losing an upright motion which will cause people especially elderly to suffer from pain and more seriously can affect one’s health. Being able to detect fall is key parameter to decrease the risk of severe injury to the seniors. There are such existing fall detection products on the market to assist elderly so that immediate response could be taken. However, due to complexity system, high cost and employing outside technology, these products initiate limitations such as maintenance and system enhancement. In this project, a fall detection device and system is developed using local technology, simple and cost effective. The prototype system consist of accelerometer sensing circuit, microcontroller with wireless signal transmission, Global System for Mobile Communications (GSM) notification alert for mobile phone and graphical user interface (GUI) to obtain real-time monitoring. The simple fall detection algorithm is developed to ensure false detection could be minimized. The overall performance of the developed device and system is proven reliable and practical.
Gait Recognition in the Wild: A Benchmark

Gait benchmarks empower the research community to train and evaluate high-performance gait recognition systems. Even though growing efforts have been devoted to cross-view recognition, academia is restricted by current existing databases captured in the controlled environment. In this paper, we contribute a new benchmark for Gait REcognition in the Wild (GREW). The GREW dataset is constructed from natural videos, which contains hundreds of cameras and thousands of hours streams in open systems. With tremendous manual annotations, the GREW consists of 26K identities and 128K sequences with rich attributes for unconstrained gait recognition. Moreover, we add a distractor set of over 233K sequences, making it more suitable for real-world applications. Compared with prevailing predefined cross-view datasets, the GREW has diverse and practical view variations, as well as more natural challenging factors. To the best of our knowledge, this is the first large-scale dataset for gait recognition in the wild. Equipped with this benchmark, we dissect the unconstrained gait recognition problem. Representative appearance-based and model-based methods are explored, and comprehensive baselines are established. Experimental results show (1) The proposed GREW benchmark is necessary for training and evaluating gait recognizer in the wild. (2) For state-of-the-art gait recognition approaches, there is a lot of room for improvement. (3) The GREW benchmark can be used as effective pre-training for controlled gait recognition. Benchmark website is https://www.grew-benchmark.org/.