Miracle-dz/UniFAR-FTUs huggingface dataset:
A GaAs single balanced mixer MMIC with built-in active balun for personal communication systems

A GaAs single balanced mixer IC with built-in active baluns for IF and LO inputs has been developed. The present mixer achieved the conversion gain of 16 dB and the LO signal suppression over 30 dBc at the LO input power of 0 dBm. Owing to a novel BST (Barium Strontium Titanate) capacitor technology, the implemented mixer IC was packaged in the small 6 pin outline with the extremely small chip size of 0.6/spl times/0.65 mm/sup 2/. The IC can eliminate the LO filter of the up-conversion system for a variety of handyphone-sets in L-band. <<ETX>>
A stator flux-oriented voltage source variable-speed drive based on DC link measurement

The authors present a new control strategy for variable speed drives, which is aimed at improving or even replacing existing volts per hertz (V/f) open loop variable-speed drives. This strategy uses only the DC link current and voltage, which are readily available in a V/f drive for protection purposes, to implement closed loop flux and torque control. Stator flux and electromagnetic torque feedback signals are derived from the DC link voltage, the DC link current, and inverter switching states. Digital implementation is seen to be possible with slight modification on existing V/f drives. Practical considerations in implementing such a system are emphasized, and experimental results are presented to show the feasibility of the scheme. >
Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm

This paper uses an improved multiorganizational particle population optimization algorithm to conduct an in-depth analysis and study of an online English teaching model and uses the altered model for practical applications. The model building elements are extracted from it for the initial construction of a blended learning model of English-speaking teaching in junior high school. The main purpose of the first round of action research is to test the rationality of each element of the model, the main purpose of the second round of action research is to refine the model links and improve the operability of the model, and the main purpose in the third round of action research is to test the perfected model and explore the model. The main purpose of the third round of action research is to test the refined model and explore the application suggestions of the model. After the three rounds of action research, we finally obtained a more mature blended learning model for teaching English as a foreign language in junior high school. Mainly through the comparison of the pre- and posttest scores of English speaking of the experimental subjects and the comparison of the pre- and posttest data of the relevant questionnaires, the following experimental conclusions were drawn: adopting the blended learning-based speaking teaching model can effectively improve students' interest in learning English, their attitudes and their English speaking skills including pronunciation, phonetic intonation, conversational communication, and oral expression and can enhance students' group cooperation and communication ability, independent learning ability, evaluation awareness, and ability. This single-guided learning mechanism can effectively avoid the shocks that are easily caused by the dual-guided role of traditional PSO. The dimensional learning strategy constructs a learning paradigm for each particle by learning from each dimension of the individual optimal position of the particle to the corresponding dimension of the group optimal position, respectively. Dimensional learning is formally integrated into the learning paradigm only if it can improve the fitness of the paradigm so that the dimensional learning strategy can avoid the phenomenon of degradation of the learning paradigm and the phenomenon of “two steps forward, one step back. ” In the dimensional learning strategy, since each particle learns from best, although it has a strong exploitation capability, it may cause all particles to converge to best quickly, making the algorithm converge prematurely.
VIRTUAL REALITY OR REALITY: CONTENT IS ALWAYS KEY TO ENJOYMENT, UNDERSTANDABILITY AND COMPREHENSION

ABSTRACT This article presents a new approach to bring virtual reality into the marketing classroom. Our study adds to the literature by testing two different types of virtual reality content and showing the importance of content in producing desired educational outcomes. We also extend past research by suggesting specific processes and resources for adapting virtual reality to the marketing curriculum. Virtual reality has not been widely applied to core marketing curriculum, particularly global marketing. The medium is especially suited to global marketing, since success in the area depends on understanding foreign environments. Our new approach uses two types of virtual reality videos, an educational video on South Sudan and advertisement for Toms Shoes, to teach global marketing concepts. We investigate the impact of this approach in a study with 100 students and find that the VR vs. non-VR format has a significantly positive impact on enjoyment. In addition, the Toms VR video scores significantly higher than the South Sudan VR video on enjoyment, content understandability, and comprehension. Our results point to the importance of content in creating educational materials in any format, and suggest a particular need to develop virtual reality materials which align with learning objectives in the marketing curriculum.
The effects of state aid on Total Factor Productivit growth

This paper analyzes the relationship between state aid and ? rm performance in terms of productivity growth. To this end, we use all European state aid cases that were granted (either to an individual ? rm or a group of ? rms under the form of a scheme) in manufacturing between 2003 and 2011. Our ? ndings show that state aid measures are able to enhance productivity growth when ? rms are constraint due to a lack of cash availability. Since laggard ? rms are more likely to be ? nancially constraint, they experience more TFP growth than ? close-to-frontier? rms when receiving state aid. This bene? cial e¤ect of state aid is mainly driven by the post-crisis years in the sample. Our results are consistent with optimal development planning by pro? t maximizing ? rms.
The Future Ready Lab: Maintaining Students’ Access to Internships during Times of Crisis

In this manuscript, we highlight the virtual Future Ready Lab as one example of an innovative internship concept designed to increase the quantity of meaningful paid internship experiences available for students to participate in, prepare for further education, and be able to compete in the 21st Century workforce. The Lab’s premise is to provide access to student populations (e.g., economically disadvantaged, Black, and Latinx students) who oftentimes are not afforded the opportunity to hone their 21st Century skills in a high-impact internship experience. The virtual nature of the Future Ready Labs provided opportunities for high school students to participate, despite transportation limitations, social distancing, emerging safety precautions, and requirements based on the COVID-19 pandemic. In this manuscript, we help fill gaps in existing literature concerning how schools support students’ work-based learning experiences during times of crisis, particularly for diverse and economically disadvantaged learners. We conclude with recommendations for practice, and a broader work-based learning framework for how partnerships can be forged and sustained in high schools across the nation, as well as implications for educational policy, practice, and research.
Modeling fracture in brittle materials with inertia effects using the phase field method

Abstract The phase field method uses a length scale parameter to regularize the discrete crack to a diffuse crack, which removes the numerical tracking of the discontinuities in the displacement. The displacement field is coupled with the phase field and both are solved as a sequentially coupled systems using staggered method. The phase field varies between zero and unity (i.e., for intact region and for fully broken region), and it is a scalar. In this study, a new way of implementation is done using ABAQUS software to solve for the two fields. User defined element subroutine (UEL) is used to solve for the phase field variable and user defined material subroutine (UMAT) for the displacement field variable. Phase field model can simulate any complex crack paths and branching even without previously defined cracks. Some benchmark examples of quasi-static brittle fracture and dynamic brittle fracture are solved and verified with the existing numerical results. To account for the rate-dependent effect under high-rate loading, micro-inertia is incorporated into the phase-field model for dynamic fracture as proposed in the literature and verified with one example.
Formation and growth kinetics of interfacial intermetallics in Pb-free solder joint

The formation and growth kinetics of the intermetallic compound (IMC) between lead-free solder and Cu substrate in the surface mount process were studied. Optical and scanning electron microscope (OM and SEM) were used to measure the thickness of intermetallic layers and observe the microstructure evolution of solder joint. The IMC phases were identified by energy dispersive X-ray (EDX) and X-ray diffraction (XRD). The grain size of the intermetallic compound /spl eta/-phase Cu/sub 6/Sn/sub 5/ was observed to increase with the increase in peak temperature hold time. The results show that a /spl eta/-phase Cu/sub 6/Sn/sub 5/ IMC layer is formed at solder-Cu substrate interface at a very short time. The growth of intermetallics formation was found not to follow the Fick's law that predicts the mean total thickness increases linearly with the square root of the time. It deviates the Fick's law at the early stage of the growth process and then approaches the parabolic law. To explore the growth kinetics, the IMC growth mechanism is suggested and a lagging diffusion model is presented for predicting the intermetallic compound layer growth. Comparison between the model and experimental results demonstrates that the proposed phase-lag model captures the growth history of IMC layers quite well.
Attenuation coefficient of a piezoelectric resonator operating in a thickness mode

We have found a simple method which gives the attenuation coefficient in the transmission-line model for a piezoelectric resonator operating in a thickness mode. This attenuation coefficient has been determined in terms of the thickness, static capacitance, piezoelectric coupling constant, resonance frequency and the additional value of the maximum input resistance.
WSN Location Signal Strength Matches Based on Sugeno Model

: In the actual deployment of sensor network, owing to the influence of limited cognition to monitored environment and the changes of the environment, there are a large number of non-additive set functions, it means that we can not accurately predict the signal strength values for the limited cognition to environment, Therefore, a matching location algorithm based on the Sugeno Measurement space is put forward. The algorithm can fit the relatively environmental change through adaptive parameter adjusting, and then establish the signal strength distribution calculate the strength distance of the signal strength, choose the distribution of measure value of gλ in the match location process. Use weighted operator to finish location, it improves the positioning accuracy, by means of experiments, confirm the truth of algorithm is effective and reasonable.
Stability analysis of a rigid rotor on tilting-pad journal bearings

Abstract Tilting-pad journal bearings are used in many rotating machinery applications. They are known to have superior performance in comparison with fixed geometry cylindrical bearings. Previous analysis by other investigators on the rotor stability has shown that the pad inertia is the main limiting factor on the bearing performance. In this paper, that analysis is extended to examine the bifurcation types that are associated with the loss of stability in order to gain insight into whether the linear stable regions are robust under finite perturbations. The effect of pad friction force on the rotor stability is also examined. Furthermore, the analysis is extended to bearings with four pads.
TemporalFusion: Temporal Motion Reasoning with Multi-Frame Fusion for 6D Object Pose Estimation

6D object pose estimation is an essential task in vision-based robotic grasping and manipulation. Prior works extract spatial features by fusing the RGB image and depth without considering the temporal motion information, limiting their performance in heavy occlusion robotic grasping scenarios. In this paper, we present an end-to-end model named TemporalFusion, which integrates the temporal motion information from RGB-D images for 6D object pose estimation. The core of proposed TemporalFusion model is to embed and fuse the temporal motion information from multi-frame RGB-D sequences, which could handle heavy occlusion in robotic grasping tasks. Furthermore, the proposed deep model can also obtain stable pose sequences, which is essential for real-time robotic grasping tasks. We evaluated the proposed method in the YCB-Video dataset, and experimental results show our model outperforms state-of-the-art approaches. Our code is available at https://github.com/mufengjun260/TemporalFusion21.
The work of ISSMGE TC3 (Geotechnics of pavements) and how it links to earthworks

Abstract The main goal of Technical Committee TC3 ‘Geotechnics of Pavements’ of the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE) is to promote co-operation and exchange of information and knowledge about the geotechnical aspects in design, construction, maintenance and monitoring of pavements in transportation infrastructure (roads, railways, airports). Some of these aspects cover: earth structures in pavement and railway construction, compiling and homogenizing earthwork specifications, standardization of the continuous compaction control and promotion of the use of non-traditional by-products and recycled materials. This paper covers these main aspects and highlights the use of non-traditional materials in transportation earthworks.
Heat Stress Affects Seed Set and Grain Quality of Vietnamese Rice Cultivars during Heading and Grain Filling Period

Environmental stress trigger a variety of rice plant response, ranging from alters seed set, grain yield and grain quality during flowering and grain filling stage. Efforts are required to improve our understanding of the impact of heat stress on rice production, which are essential strategies in rice cultivation. This article investigated the seed set, yield components and grain yield of Vietnamese rice cultivars (Indica germplasm) under high temperature environment during the flowering and grain filling stage. Six rice cultivars, including popular cultivars and new cultivars of Cuu Long Delta Rice Research Institute, and one popular extraneous cultivar with differences in maturing time, were grown in pots at high temperature (HT) and natural temperature condition as control (CT). All rice cultivars were subjected to the high temperature starting from the heading stage to the harvest maturity, applied by greenhouse effect. The greenhouse has about 25 cm window opening on 3 sides for air ventilation. The seed set rate of the heat-sensitive rice genotypes decreased significantly under HT, leading to a significant reduction in grain yield. The lowest seed set was recorded in “OM4900” (44.3%) and “OM18” (39.9%) under high temperature environment. The lower yield in all rice cultivars at an elevated temperature resulted in a dramatic decrease of filled grains and contributed to a loss of 1000-grain weight. ‘“OM892” is a potential rice cultivar for heat tolerant breeding program due to the seed set percentage was above 80% in both HT and CT conditions. High temperature during the grain filling stage resulted in a decreased amylose and increased chalkiness for all OM cultivars.
The terminator influence on the amplitude of VLF stations’ signals registered at the geophysical observatory «Mikhnevo»

This paper presents a study of the morning terminator impact on the electromagnetic signal amplitudes of VLF stations. The experimental data obtained at the Geophysical Observatory «Mikhnevo» (54.9° N, 37.7° E) in 2015 were used for the analysis. During the passage of the morning terminator, there is a sudden decrease in the signal amplitude. As a result of the study, it was established that this significant change is already observed at 15% of the track illumination.
Development of an Autonomous Two-Wheeled Vehicle Robot

This paper describes a development of an autonomous two-wheeled vehicle robot. The model of the two-wheeled vehicle using steering control is derived. The control systems are designed by linear quadratic regulator and linear quadratic integral method. Stabilization is achieved by measuring roll angle and roll rate and controlling the steering torque. The experimental results and simulation results show stable running control of the two-wheeled vehicle robot and coincident with each other. The approach is validated through these results.
Validation of the STOP questionnaire as a screening tool for OSA among different populations: a systematic review and meta-regression analysis.

STUDY OBJECTIVES Obstructive sleep apnea (OSA) is a sleep breathing disorder associated with adverse health outcomes, but it remains largely underdiagnosed. The STOP questionnaire is a simple tool for screening OSA and is widely used in various populations. The objective of this study was to determine the predictive parameters of the STOP questionnaire to detect OSA in sleep clinics, medical population, surgical population, commercial drivers, and the general population. METHODS Electronic databases were searched from January 2008 to April 2021. Pooled predictive parameters were recalculated using 2 × 2 contingency tables and random-effects meta-analyses were performed. The combined test characteristics at different OSA severities [any OSA (AHI≥5), moderate-to-severe OSA (AHI≥15), severe OSA (AHI≥30)] were used to compare the accuracy of the STOP questionnaire with polysomnography. The quality of the studies was evaluated using Cochrane Methods criteria. RESULTS Twenty-four studies met the inclusion criteria: 16 were in the sleep clinic population (n=8,132), four in medical population (n=1,023), two in the surgical population (n=258), and one study each on commercial drivers (n=85) and general population (n=4,770). A STOP score ≥2 showed excellent sensitivity to the different OSA severities for the sleep clinic population (>89%) and to severe OSA for the medical population (85.6%). In both populations, the STOP questionnaire also had excellent discriminative power to exclude severe OSA [negative predictive values (NPV) >84%]. The pooled sensitivity and NPV for the surgical population with moderate-to-severe OSA was 81% and 75%. CONCLUSIONS This meta-analysis suggests that the STOP questionnaire is a valid and effective screening tool for OSA among these population.
Railway point mechanisms: Condition monitoring and fault detection

Early attempts at monitoring the condition of railway point mechanisms employed simple thresholding techniques to detect faults, but success was limited and there were large numbers of false alarms and missed failures in the field. More recent research using data collected from line-side equipment and lab-based test rigs, though, is suggesting that it should indeed be possible to predict failures with sufficient accuracy and notice to be of genuine use to infrastructure maintainers and owners. This review into state-of-the-art predictive fault detection and diagnosis methods shows how some very different generic models have been tailored to the various types of mechanisms that are in use worldwide. In any specific case, the most appropriate combination of quantitative and qualitative techniques will be determined by the inherent failure modes of the system and the particular conditions under which it operates. Furthermore, it is vital to have a priori knowledge of the symptoms that are observable under fault conditions if diagnosis is to be reliable.
The Effect of Music on Livestock: Cattle, Poultry and Pigs

Simple Summary In times of intensified livestock production, the search for methods that reduce stress, which has an adverse impact on the health and welfare of their animals, has become a challenge for breeders and producers. Therefore, the possibility of using various musical genres to alleviate stress in chickens, cattle or pigs was considered. It has turned out that choosing a musical item is extremely important, as it can positively affect the health and production performance of animals by increasing the feeling of relaxation. The time of exposure to sounds and their intensity are important as well, and some authors propose to also pay attention to the frequency of sound waves. Music therapy, which was previously more widely deployed among humans, is increasingly used for farm animals as an element of enriching their living environment. Current research shows the importance of sound waves’ influence in animal production. Proper selection of the music genre, music intensity and tempo can reduce the adverse effects of noise and, thus, reduce the level of stress. It should be remembered, however, that silence is equally important and necessary for the welfare of animals. The paper presents literature findings regarding the influence of music on cattle, poultry and pigs. Abstract The welfare of animals, especially those kept in intensive production systems, is a priority for modern agriculture. This stems from the desire to keep animals healthy, to obtain a good-quality final product, and to meet the demands of today’s consumers, who have been increasingly persuaded to buy organic products. As a result, new sound-based methods have been pursued to reduce external stress in livestock. Music therapy has been known for thousands of years, and sounds were believed to improve both body and spirit. Today, they are mostly used to distract patients from their pain, as well as to treat depression and cardiovascular disorders. However, recent studies have suggested that appropriately selected music can confer some health benefits, e.g., by increasing the level and activity of natural killer cells. For use in livestock, the choice of genre, the loudness of the music and the tempo are all important factors. Some music tracks promote relaxation (thus improving yields), while others have the opposite effect. However, there is no doubt that enriching the animals’ environment with music improves their welfare and may also convince consumers to buy products from intensively farmed animals. The present paper explores the effects of music on livestock (cattle, poultry and pigs) on the basis of the available literature.