Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Decoupling Control Approach for Improving Dynamic Performance and Stability of Multiple Grid-Connected Converters

The control plant model of multiple grid-connected converters is a multivariable coupling model. There is complex coupling interaction between the control loops of the multiple converters, resulting in poor current control quality or interaction oscillation issues when the grid impedance is high or the number of converters is large. This article proposes a novel multivariable decoupling control method based on a summation difference coordinate for eliminating the current control interaction between multiple converters. With a summation difference coordinate transformation matrix, the multivariable model of multiple converters can be transformed to be multiple single-variable models. By designing specific current regulators for the summation current and the difference current loops in the summation difference coordinate, the summation current and each difference current can be regulated independently. Compared with the conventional methods, the proposed method can improve the current control bandwidth and stability without introducing any high-frequency oscillation especially when the grid impedance is high or the number of converters is large. Moreover, based on the proposed approach, the classical single variable control theory is enough to designthe regulator parameters for any number of converters under the new coordinate system. Experimental results of four three-phase 2 kW two-level converters have been presented, which validates the proposed approach.
Effect of rTMS on Parkinson's Cognitive Deficit: A Systematic Review and Meta-analysis

Background: To evaluate the effects and optimal parameters of repetitive transcranial magnetic stimulation (rTMS) on cognition improvement of Parkinson's disease (PD) patients with cognitive deficit and to estimate which cognitive function may obtain more benefit from rTMS. Method: The articles dealing with rTMS on cognitive deficit of PD patients were retrieved from the databases until December 2018. Two researchers selected research papers, evaluated their quality, extracted data, and cross-checked them according to the inclusion and exclusion criteria. The standardized mean differences (SMDs) with 95 % confidence interval (CI) of cognitive outcome for different parameters, scales, and cognitive functions were estimated. Results: Fourteen studies involving 163 subjects were included in the study. A significant effect size was observed for the mini-mental state examination (MMSE) global cognitive outcome. Further subtests for different cognitive domains demonstrated prominent effect for the executive function. The significant effect sizes were respectively found with multiple sessions of high-frequency rTMS over frontal cortex, especially with over dorsolateral prefrontal cortex (DLPFC), based on subgroup analysis of the executive function. All of the other cognitive domains including working memory, attention, and language ability did not obtain significant effects. Conclusions: Multiple sessions of high frequency rTMS over the DLPFC may have positive effect on executive function in PD patients with cognitive deficit. Further well designed studies with large sample sizes are needed to verify our results and ascertain the long-term effects of rTMS.
Design of Real-time Data Acquisition System for Physical Education in Elementary and Secondary School

At present, the physical education in elementary and secondary school lacks real-time data acquisition system, which resulted in obstacles to relevant researches. In this paper, a real - time sports data acquisition system for multiple students is proposed. Combined with wireless communication technology, the paper designs and develops a s ports data collector and wireless base station for receiving data. The process of data communication utilizes MINA frame. Also, a complete set of S ocket-based data transfer protocols is defined. The system not only provides researchers with reliable data, but also enables PE teachers to monitor students' physical exercise in real time. Through the computer stimulation test and field test, both the performance and the availability of the system are verified.
Artist-Oriented Surfacing Workflow

Surfacing is the art of creating materials for digital objects, and it is an incredible technical and artistic challenge. Creating materials and textures for 3D meshes involves managing potentially hundreds of image files, moving data between multiple software packages, and building shaders that will work consistently through a digital production hierarchy. All while attempting to create a piece of art that will tell a story of what an object is, how it was made, and where it has been. Balancing these technical and artistic components is an extraordinary challenge, and it is easy for an artist to get overwhelmed or distracted by the technical demands of surfacing at the cost of the quality of their art. The topic of this thesis is a suite of tools designed to allow artists to intuitively manage these technical demands by streamlining the most time-consuming aspects of surfacing into condensed one-click operations.
Evaluation of performance and space utilisation when using snapshots in the ZFS and Hammer file systems

Modern file systems implements snapshots, or read-only point-in-time representations of the file system. Snapshots can be used to keep a record of the changes made to the data, and improve backups. Previous work had shown that snapshots decrease readand write performance, but there was an open question as to how the number of snapshots affect the file system. This thesis studies this on the ZFS and Hammer file systems. The study is done by running a series of benchmarks and creating snapshots of each file system. The results show that performance decreases significantly on both ZFS and Hammer, and ZFS becomes unstable after a certain point; there is a steep decrease in performance, and increase in latency and the variance of the measurements. The performance of ZFS is significantly lower than on Hammer, and the performance decrease is higher. On space utilisation, the results are linear for ZFS, up to the point where the system turns unstable. The results are not linear on Hammer, but more work is needed to reveal by which function.
A study on the influence of ground water level on foundation settlement in cohesionless soil

Settlement calculation is an important part in the design of shallow foundations resting on granular soils. Rise of ground water level is believed to increase the settlement significantly and has been a topic of research for many years. Terzaghi (1943) suggested that the submergence of soil mass reduces the soil stiffness to half, which in turn doubles the settlement. Since then, various researchers proposed correction factors to account for the additional settlement due to water table fluctuation. However, a comprehensive settlement testing and its numerical modeling to account for the influence of ground water level has not been reported in the literature. The objective of this paper is to quantify the effect of water table rise on settlement through laboratory testing over wide range of footing shape, soil density, water table depth and stress level. The tests were carried out within a settlement tank. The footings under working load were subjected to water table rise, and the additional settlements were measured. The experimental setup was modelled in FLAC and the results were compared with the laboratory tests. The results obtained will be valuable in verifying Terzaghi's intuitive reasoning and explaining the observed additional settlement of footings found in the literature.
Safety Evaluation of Rolled-In Continuous Shoulder Rumble Strips Installed on Freeways

Single-vehicle run-off-the-road crashes result in about one-third of all highway fatalities and one-half million people injured annually, with a societal cost of $80 billion each year. Continuous shoulder rumble strips (CSRS) are one countermeasure used to address this significant safety problem. Data were analyzed for two states (California and Illinois) from the Highway Safety Information System to estimate the safety effects of CSRS on freeways. Before-and-after evaluations of CSRS projects with the use of different comparison groups were conducted. The results from the evaluations indicate that on average CSRS reduce single-vehicle run-off-the-road crashes by 18.3 percent on all freeways (without regard to urban/rural classification) and by 21.1 percent on rural freeways. Two types of potential adverse effects related to safety with CSRS were analyzed. The first type pertains to the crash risk that CSRS may present because of driver startle/panic responses. The second potential adverse effect of CSRS is crash migration. The research findings indicate that these potential adverse effects are insignificant.
INTERFERENCE MITIGATION IN COLOCATED WIRELESS SYSTEMS

The placement of base station transceivers at close proximity to one another is a major challenge for RF engineers. In a colocated setting, the base station receivers have to receive weak desired signals in the presence of high-power transmit/jamming signals from colocated base station transmitters; resulting in major interference issues. The thesis identifies two major mechanism of interference for the colocated victim receiver. First, the strong jamming signals mix within the victim receiver front-end to produce intermodulation products that may fall on its desired receive channel and cause interference. The strong signals may also saturate the receiver circuits and cause desensitization. Second, large jamming signals from one colocated transmitter can radiate into the antenna system of a second colocated transmitter. The signals enter the second transmitter in the reverse direction and mix in the output stage of its power amplifier to produce intermodulation products. These ‘reverse’ intermodulation products get radiated from the antenna system and may fall on the victim receiver’s desired channel.
Impact of planting date and seeding rate on grain and forage yields of wheat in Texas

Impact of Planting Date and Seeding Rate on Grain and Forage Yields of Wheat in Texas. (December 2007) Oliver Jacob Shaffer, B.S., Texas A&M University Chair of Advisory Committee: Dr. Gaylon D. Morgan Wheat serves three very important roles to producers in Texas and many states in the Great Plains. First, wheat is used as a cool season forage crop for livestock grazing. Second, wheat serves as a grain only crop. Third, wheat is used as both a forage and grain crop in the same season and is commonly referred to as a dual-use or dual-purpose crop. Previous research has demonstrated that planting date can significantly affect the success of these various production strategies. When wheat is planted early, more forage will be available for livestock; conversely, a delayed planting date should achieve a higher grain yield. The objective of this research was to determine the optimum seeding rate as planting date changes for wheat as a grain-only and dual-purpose crop in central Texas. Six different planting dates were evaluated starting with a target date of September 1 and having 14 d intervals between each planting date. Seeding rates were 34, 67, 101, and 135 kg ha for Agri-Pro Cutter wheat variety. Results from the three year study showed that planting date had the greatest impact on forage and grain yields. Higher seeding rates maximized grain yields at the later planting dates, while lower seeding rates yielded higher for the earlier dates. Forage yields were maximized when planted prior to October 1, while grain yields were maximized at the mid-October to early-November dates. This
A REAL-WORLD ENERGY AND COST COMPARISON BETWEEN AN ELECTRIC VEHICLE AND A PETROL VEHICLE IN THE TRINIDAD AND TOBAGO CONTEXT

This paper compares actual and predicted energy use and running costs for an internal combustion engine vehicle (ICE) and an electric vehicle (EV) in typical Trinidad and Tobago driving conditions. Detailed fuel/energy flow data were extracted to parameterise and validate representative MATLAB/Simulink models of each. Simulations were performed using a representative driving cycle as an input for both vehicle models and parameters such as fuel flow rate and rate of energy transfer were recorded. Energy used by the EV over the driving cycle was approximately 20% of that used by the ICE. The analysis was extended to consider the Well to Wheel energy use and CO2 emissions by combining the model results with published data, showing that both energy and CO2 emissions from the EV are approximately 50% of those produced by the ICE. Further, it was estimated based on the findings that if 10% of the vehicle fleet was displaced by EVs, this would provide a 9% contribution to the Trinidad and Tobago Paris Agreement Nationally Determined Contribution (NDC) for transportation by 2030. This could be significantly increased if renewable generating sources were to be added to the electrical grid.
Constrained internal model control

Most practical control problems must deal with constraints imposed by equipment limitations, safety considerations or environmental regulations. While it is often beneficial to maintain operation close to the limits in order to maximize profit or meet stringent product specifications, the violation of actuator constraints during normal operation can result in serious performance degradation (sometimes instability) and economic losses. This thesis is concerned with the development of control strategies for multivariable systems which systematically account for actuator constraints while guaranteeing closed-loop stability as well as graceful degradation of non-linear performance. A novel anti-windup structure is proposed which combines the efficiency of conventional anti-windup schemes with the optimality of model predictive control (MPC) algorithms. In particular, the classical internal model control (IMC) law is enhanced for optimal performance by incorporating an on-line optimization. The resulting control scheme offers both stability and performance guarantees with moderate computational expense. The proposed optimizing scheme has prospects for industrial applications as it can be implemented easily and efficiently on programmable logic controllers (PLC).
Open-Loop and Closed-Loop Control for Ramp Metering in Traffic Flow

In this article, the authors define a local ramp metering control. The aim of this control concept is to reduce the congestion and so improve the total time spent by vehicles in the network. For this purpose, the density of the segment where the on-ramp is connected is kept below a target density, unless the queue at the on-ramp becomes too long. The traffic flow model used is the usual Metanet model. We compare our ’ramp metering’ controller’s efficiency and applicability to the ’no-control’ case and the traditional ALINEA based controller.
Euclidean Spaces

Note that the text, [1], is Rudin's " Principles of Mathematical Analysis ". The problems are from the 3rd edition. There are two sections of 18.100B, plus a section of 18.100A. This web page is only for my section. The lecturer for the other section of 18.100B is Professor S. Helgason. The timetable here should not be completely relied upon! As set out below it will mean that we move at a quite brisk pace. Probably I will have to modify it a bit as I go along. The dates of the tests and on which homework is due will not change but it is possible that the material they cover will change a little. NOTE: There is a homework due tomorrow. You can in fact get full marks by handing in a page with your name on it. However, try the first three questions so that I can help you with setting out proofs. Our grader has not yet been selected. First 'Proof' – that there is no rational with square 2.
A Tensor voting Based Surface Anomaly Classification Approach by Using 3D Point Cloud Data

Advanced 3D scanning technology has been widely used in many industries to collect the massive point cloud data of artifacts for part dimension measurement and shape analysis. Though point cloud data also has product surface quality information, it is challenging to conduct effective surface anomaly classification due to the complex data representation, high-dimensionality, and inconsistent size of the 3D point cloud data within each sample. To deal with these challenges, this paper proposes a tensor voting based approach for anomaly classification of artifact surfaces. A case study based on 3D scanned data obtained from a manufacturing plant shows the effectiveness of the proposed method.
Mandatory of Covid-19 Vaccination Requirements for Health Vitality on Prospective Hajj Pilgrims: An Innovation of Interactive Video and E-Poster

As the world grapples with Covid-19 challenges, excellent health is critical since it aids in the pilgrimage process. This study seeks to identify the effective medium of communication in delivering information on health awareness and guidance for the pilgrims before they departed. The methodology used for this study is quantitative method by disseminating 120 questionnaires to Muslims. A total of 106 respondents participated by using snowball sampling. Data had been gathered and analyzed using IBM SPSS statistic software version 20.0 software database tool. The major findings show that the interactive video and e-poster play effective roles in highlighting the importance of taking Covid-19 vaccination. It also serves an effective communication medium in providing information on health awareness and guidance for pilgrims. The study suggests providing better health care services for Hajj pilgrims and increases the level of awareness, knowledge and responsibility among the pilgrims on the importance of health vitality in not only facing the pandemic but also overcoming the health problems as stipulated by the pilgrimage board. Further research is recommended to do expert evaluations on our Interactive Video and E-poster to evaluate the effectiveness of stressing the mandatory of taking Covid-19 vaccination before the pilgrimage.
Embryo : CD-ROM Color Atlas for Developmental Biology

1. Frog Embryos. Frog Blastulae.Sagittal sections 9 images.Frog Gastrulae.Sagittal sections 9 images.Frog Neurulae.Cross sections 15 images.Frog 10mm embryos.Serial cross sections 63 images. Sagittal sections 15 images. Movie: Stack of serial cross sections. 2. Chick Embryos. Chick 18h Embryos.Whole mounts 15 images. Serial cross sections 12 images. Sagittal sections 6 images.Chick 21h Embryos.Whole mounts 3 images.Chick 24h Embryos.Whole mounts 6 images. Serial cross sections 30 images. Sagittal sections 3 images. Movie: Stack of serial cross sections.Chick 33h Embryos.Whole mounts 21 images. Serial cross sections 45 images. Sagittal sections 9 images. Movie: Stack of serial cross sections.Chick 48h Embryos.Whole mounts. Serial cross sections 96 images. Sagittal sections 6 images. Movie: Stack of serial cross sections.Chick 72h Embryos.Whole mounts. Serial cross sections 75 images. Sagittal sections 6 images. Movie: Stack of serial cross sections.Chick 96h Embryos.Whole mounts.Movies. Timelapse: Formation of the primitive steak. Timelapse: Formation of the neural tube. Timelapse: Formation of the neural tube in a chimera. Timelapse: Formation of the notochord in a chimera. 3. Pig Embryos. Pig 10mm Embryos.Whole mounts 12 mounts. Serial cross sections 210 images. Serial sagittal sections 9 images. Movie: Stack of serial cross sections. 4. Gametogenesis. Sections of Ovaries.Cat 15 images. Rat 12 images.Sections of Testes.Rabbit 12 images. Rat 15 images. Frog 9 images.Sperm Preparation.Human 3 images. Rat 3 images. Legends for Set B Images. Frog Embryos. Chick Embryos. Pig Embryos. Gametogenesis. Index.
A Serious-Gaming Mobile App to Identify Emotional Problems and Promote Adaptive Coping in Adolescents: Grow It! (Preprint)

BACKGROUND Anxiety and mood problems in adolescents often go unnoticed and may therefore remain untreated. Identifying and preventing the development of emotional problems requires monitoring and effective tools to strengthen adolescents' resilience, for example, by enhancing coping skills. The current study describes the developmental process and game mechanics of Grow It! , a multiplayer serious gaming app. OBJECTIVE The aim of the Grow It! app is to (1) monitor behaviours, thoughts, and emotions in daily life by utilizing the Experience Sampling Method (ESM) to increase self-insights and (2) to offer daily cognitive behavioral therapy (CBT) inspired challenges to promote adaptive coping in adolescents from 12-25 years old. METHODS Our approach entails an iterative game design process and an agile method to develop the smartphone app. The incorporated game features (ie, challenges, chat functionality, and visual representation) in the Grow It! app were co-designed with adolescents to increase participant engagement and adherence. RESULTS The Grow It! app was delivered for Android and iOS in May 2020. Grow It! was offered to adolescents during the COVID-19 crisis between May and June 2020. Participants of the Grow It! COVID-19 study (n = 968, 30.4% boys, M age = 17.3, SD = 3.4) completed on average 23.2 challenges (SD = 23.5) of the available 42 challenges during 6 weeks. ESM compliance, however, was suboptimal (17%). Surveys among 487 users indicated an overall score of 7.8 out of 10. 74% would recommend the app to friends and 66% reflected more on their feelings. CONCLUSIONS To our knowledge, Grow It! is the first gamified ESM application, which contains integrated CBT-based challenges moreover. The Grow It! app obtained high user ratings and encouraged adolescents to be more physically active and reflect on their feelings. However, the integrated ESM tool needs further adjustment to increase compliance. Simultaneously, providing participants with feedback on their mood profiles would be an important feature for improving the app in the future.
The Marketing Strategies of New De-icing Robot

W ith the acceleration of economy globalization and industrialization process and the g rowth of knowledge- economy, high-tech products are becoming the major impetus of economic development. Industrial robots are considered as the best tools to produce and solute problems for Gove rnment and many companies. The high tension transmission line de-icing robot is a kind of industrial robots. This article would review the existing state of de-icing robots technology and the market of industrial robots, at the same time, the high tension transmission line de-icing robot made by Guilin University of Electronic Technology would be compared with the existing de-icing robots among their advantages to point out the problems in the market, and then came up with the re asonable programs of market development ,popularization and marketing strategies in order to catch the attention of the governments and China Southern power grid companies and go into service, meanwhile ,it's helpful to draw lessons from these marketing strategies for the other kind of robots.