Miracle-dz/UniFAR-FTUs huggingface dataset:
Resource Allocation Strategy of the Educational Resource Base for MEC Multiserver Heuristic Joint Task

This paper analyzes the application of MEC multiserver heuristic joint task in resource allocation of the educational resource database. After constructing the scenario of educational resource database, a mathematical model is constructed from the dimensions of local execution strategy, unloading execution, and given educational resource allocation, in order to optimize the optimal allocation of educational resources through MEC. The results show that the DOOA scheme has good performance in terms of calculation cost and timeout rate. Compared with other benchmark schemes, the DQN-based unloading scheme has better performance, can effectively balance the load, and is better than the random unloading scheme and the SNR-based unloading scheme in terms of delay and calculation cost. The results show that the total hits of all category 1 users' content requests account for the proportion of the total content requests. The images have a small downward trend at the 15000 and 30000 time slots and then continue to rise. This shows that the proposed scheme can automatically adjust the caching strategy to adapt to the changes of content popularity, which proves that the agent can correctly perceive the changing trend of content popularity when the popularity of network content is unknown and improve the caching strategy accordingly to improve the cache hit rate. Therefore, the allocation of educational resources based on the MEC multiserver heuristic joint task is more reasonable and can achieve the optimal solution.
Guided Discovery Learning and its Effects on Students’ Self-regulated Learning

: This study focuses on how to solve the problems of students’ self-regulated learning. The purpose of this study is to compare students’ self-regulated learning between students taught by guide discovery learning and students taught by traditional approaches. The research method used is a quasi-experimental. The variables in this study consist of independent variables namely guided discovery learning and the dependent variable is self-regulated learning. The quasi-experimental design used in this study is post-test-only design with none equivalent. The research subjects were fifty 3 rd semester pre-service mathematics teacher from two full classers. Self-regulative learning questionnaire this research has been prepared by Pintrich and Degroot. The items were set based on Likert scale and five choices ranging from completely disagree (1) to completely agree (5). Based on the research data it was found that there was no significant differences in students’ self-regulated learning between students who are taught with guided discovery learning and students, who are taught traditionally. Self-regulated learning is one form of affective aspects. Various studies show that there is a tendency that affective aspects are rather difficult to change within time constraints.
Gastrointestinal Microbiota and Their Manipulation for Improved Growth and Performance in Chickens

The gut of warm-blooded animals is colonized by microbes possibly constituting at least 100 times more genetic material of microbial cells than that of the somatic cells of the host. These microbes have a profound effect on several physiological functions ranging from energy metabolism to the immune response of the host, particularly those associated with the gut immune system. The gut of a newly hatched chick is typically sterile but is rapidly colonized by microbes in the environment, undergoing cycles of development. Several factors such as diet, region of the gastrointestinal tract, housing, environment, and genetics can influence the microbial composition of an individual bird and can confer a distinctive microbiome signature to the individual bird. The microbial composition can be modified by the supplementation of probiotics, prebiotics, or synbiotics. Supplementing these additives can prevent dysbiosis caused by stress factors such as infection, heat stress, and toxins that cause dysbiosis. The mechanism of action and beneficial effects of probiotics vary depending on the strains used. However, it is difficult to establish a relationship between the gut microbiome and host health and productivity due to high variability between flocks due to environmental, nutritional, and host factors. This review compiles information on the gut microbiota, dysbiosis, and additives such as probiotics, postbiotics, prebiotics, and synbiotics, which are capable of modifying gut microbiota and elaborates on the interaction of these additives with chicken gut commensals, immune system, and their consequent effects on health and productivity. Factors to be considered and the unexplored potential of genetic engineering of poultry probiotics in addressing public health concerns and zoonosis associated with the poultry industry are discussed.
Use Of Neural Networks In Sounding Rocket Trajectory Reconstitution

The neural networks, which are a model of how the brain works, are well known as universal approximators. This article takes advantage of such characteristic on presenting an alternative way for reconstituting a sounding rocket trajectory, instead of using the conventional approach, which spends too much effort. The basic idea is concerned to the use of a neural network to map the reconstituted trajectory, solving drop-outs, which is obtained by a linear interpolation of the difference between nominal and actual flight.
Parallelization and Hardware Mapping of Deep Neural Network on Reconfigurable Platform for AI-Enabled Biomedical System

COVID-19 is still disrupting many parts of the world. A rapid and accurate diagnosis solution is needed to combat the pandemic. As a part of the AIRBiS(AI-Enabled Real-time Pneumonia Detection Bio-medical System), this work conduct hardware acceleration to speed up the diagnosis. We found that more than 90% of the current diagnosis time is spent on the convolution function and have conducted three methods to speed up the convolution operations. Firstly, by applying the Winograd algorithm on convolution layers, the multiplication operations of the matrices can be decreased, which speeds up the calculation. The next step is to improve the data exchange speed between the FPGA and CPU by replacing the normal buffer with LineBuffer. We also tried to improve the calculation speed by quantization, reducing the number of bits used for the filter and the input image. The FPGA board we used for this research is ZCU102. The application used for high-level synthesis is Xilinx SDSoC 2019.1. Using the mentioned approaches, we improved the inference speed from 106ms to 22.2ms per image.
Measuring governments' online accountability

: This paper aims to propose an electronic accountability index of information disclosure on the web – named e-accountability index (e-AI). In particular, the methodology used to develop the e-AI, based on seven areas of the Global Reporting Initiative (GRI) survey, is described and explained. The application of the index is then illustrated using central governments’ websites of the 12 South American countries, often referred to as not discharging enough accountability. The e-AI scores can be recorded for different countries that may be, therefore, ranked accordingly. This research contributes by developing an important index of electronic accountability that takes into account the standards of good governance and the accessibility and usability of each government’s website, to improve the disclosure of information and evaluate their level of accountability in a comparative-international perspective.
Improved methods of assessment of vibration risk

Measurement methods described in ISO 5349-1 and ISO 5349-2 are subject to a high level of uncertainty (±20% to 40%). The only right solution to decrease the level of this uncertainty is the use of daily vibration exposure meters (DVEM). Similar to noise dosimeters, daily vibration exposure meters must be small enough to be worn and must not interfere with normal working activities. The development of such small devices became possible thanks to new technologies of MEMS accelerometers which have many advantages including shock resistance, no DC-shift effect, very low power and frequency response down to DC. The introduction of MEMS breaks the technological barrier of weight and dimension and additionally reduces the cost of the complete system dramatically. ISO 5349-2 mentions that contact force measurement should be used to detect when the worker's hands first make contact to the vibrating surface and also when contact is broken. With the development of the new very small MEMS sensors it became possible to locate the force sensor right next to the vibration accelerometer. This solution allows the user to automatically obtain information about the period while the hand is in contact with the vibrating surface and to evaluate the total contact time per day.
Heightened Tameness and Accelerated Handling-Habituation in 3×Tg-AD Mice on a B6;129 Genetic Background

Background: The triple transgenic mouse model of Alzheimer’s disease (3×Tg-AD) has gained popularity in Alzheimer’s research owing to the progressive development of both amyloid-β and tau pathologies in its brain. Prior handling-habituation, a necessary preparation procedure that reduces anxiety and stress in rodents, was seldom described in the literature involving these mice and needs to be addressed. Objective: We sought to determine whether 3×Tg-AD mice differ from B6;129 genetic control mice in terms of tameness and prior habituation to handling. Methods: We devised hand-staying and hand-boarding assays to evaluate tameness in 3×Tg-AD and B6;129 genetic control mice at 2.5, 7, and 11.5 months of age, representing cognitively pre-symptomatic, early symptomatic and advanced symptomatic stages of the disease, respectively. We monitored the progress of handling-habituation across 8–15 daily handling sessions and assessed the animal behaviors in elevated plus maze. Results: We found that 3×Tg-AD mice were markedly tamer than age-matched control mice at the baseline. Whereas it took 2–3 days for 3×Tg-AD mice to reach the criteria for full tameness, it took an average of 7–9 days for young genetic control mice to do so. Prior handling-habituation enhanced risk assessment and coping strategy in mice in elevated plus maze. Completely handling-habituated mice exhibited comparable anxiety indices in the maze regardless of genotype and age. Conclusion: These findings collectively point to inherently heightened tameness and accelerated handling-habituation in 3×Tg-AD mice on a B6;129 genetic background. These traits should be carefully considered when behaviors are compared between 3×Tg-AD and the genetic control mice.
The 'big data' revolution in healthcare: Accelerating value and innovation

"An era of open information in healthcare is now under way. We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases. The federal government and other public stakeholders have also accelerated the move toward transparency by making decades of stored data usable, searchable, and actionable by the healthcare sector as a whole. Together, these increases in data liquidity have brought the industry to the tipping point. "
Workload Prediction Using VMD and TCN in Cloud Computing

—Workload prediction becomes a key major to improve the management of resources in cloud computing, recent studies have shown that predicting workload in data center positively affect the quality of service, elasticity, Service-Level Agreement (SLA) and power consuming, etc. In this paper, we design an efficient model to predict workload demand in dynamic cloud computing, which is a combination of Variational Mode Decomposition (VMD) and Temporal Convolutional Network (TCN). First, we use VMD to decompose workload extracted from history traces, into multiple cloud workload sequences. Second, the decomposed sequences are fed in a Temporal Convolutional Network. By using Alibaba workload dataset as a case study, the results show that the proposed model outperforms the compared deep learning based model in term of accuracy and achieve the state-of-art.
Soil Element Assessment in Organic Paddy Fields in the Thung Kula Ronghai Zone, Thailand

Organic rice production (ORP) has been promoted as a means of sustaining both farmers and the ecology of paddy fields, so this research aims to evaluate soil properties and soil elements in the ORP and general rice production (GRP) systems in the Thung Kula Ronghai (TKR) zone in Thailand. Soil samples were collected in Roi-et province from fields classified as ORP (5 fields) or GRP (4 fields), and interviews were also conducted with the field owner about rice yield and rice production. Data from the ORP and GRP groups were compared by t-test, and soil enhancement practices were measured by one-way analysis of variance (ANOVA) for variances. Results indicate there were 14 indicators of soil element control in the TKR. All indicators in the ORP and GRP systems were lower than the rate in soil that is suitable for rice production. The macroelement content in the TKR zone was total nitrogen > total potassium > phosphorus available at a ratio of 338: 3: 1, and the soil organic matter (SOM)/soil organic carbon (SOC) ratio is about 3.45. The soil improvement techniques used in the ORP systems—manure only and manure combined with green manure—have a higher pH value (p < 0.05) than the fertilizer only input but a lower TK value (p < 0.05) than the fertilizer only input. As a result, the ORP yield was higher than that of the GRP systems (p < 0.05), greatly affecting farmers’ practices.
COMPARISON OF AEROBIC AND ANAEROBIC POWER AND LEG STRENGTH BETWEEN YOUNG DISTANCE RUNNERS AND BASKETBALL/SOCCER PLAYERS

The purpose of the study was to compare aerobic power (V, . O 2 max), anaerobic power (Wingate test), isokinetic peak torque of knee flexor and extensor muscles and calcaneal bone density between young distance runners and soccer/basketball players to determine whether these sports activities were associated with physiological differences. The study groups were high school male distance runners (MDR, n=10) and soccer players (SO, n=10), and college female distance runners (FDR, n=12) and basketball players (BB, n=12). Mean V, . O 2 max in ml . min -1. kg -1 of lean body mass was the same in both groups of runners, and significantly lower in BB, but not in SO. Absolute values of peak anaerobic power were significantly higher in BB and SO than in the respective runners' groups. However, when divided by body mass, the difference in peak and mean anaerobic power between SO and MDR was no longer significant. BB and SO had significantly greater flexor and extensor peak torque than the respective runner's group at all velocities, as well as greater bone density estimated from bone stiffness. When divided by body mass, peak torque of knee extensors was not significantly different between BB and FDR. Higher anaerobic power, isokinetic leg strength and bone density in BB and SO than in respective runners probably result from the specific dynamic movements such as sprinting, rapid directional changes, jumping and kicking inherent in these games. (Biol.Sport 23:211-224, 2006)
Exhaust Gas Emissions of Homogeneous Gasoline-Methanol-(Ethanol) Blends

In recent years, one of the most logical efforts made to reduce the dependence on fossil energy sources is the use of a gasoline-methanol fuel blend. However, the problem in using a gasoline-methanol blend as fuel is that the methanol will eventually separate itself from the gasoline unless they are properly blended together, this is because methanol has a polar hydroxyl group called monohydric that binds water vapor together, causing the mixture to separate. Previous research showed that adding a small amount of ethanol to the gasoline-methanol blend makes it a homogeneous blend. Therefore, this research aims to identify the exhaust emissions of the homogenous gasoline-methanol-(ethanol) blend. For each blended fraction was tested on a single-cylinder four-stroke engine. The emission test is carried out in two stages which include the gasoline mode, and the alcohol mode. These two measurement modes undergo a validation process to correct the differences in the measurement results of the gasoline-methanol-ethanol blends. The test results show that increasing the methanol fraction in the gasoline-methanol-(ethanol) fuel blend results in reduced emission of carbon monoxide and unburnt hydrocarbon because methanol has a high enthalpy of evaporation, which increases both volumetric efficiency and complete combustion. In addition, the increase in the methanol fraction in the gasoline-methanol-(ethanol) blend showed a higher increase in carbon dioxide emissions. This is because methanol and ethanol have a much lower energy content than gasoline. Therefore, its energy production per unit time requires more fuel molecules.
Compliant Knee Exoskeletons and Their Effects on Gait Biomechanics

Compliant Knee Exoskeletons and Their Effects on Gait Biomechanics Kamran Shamaei Ghahfarokhi 2014 The human knee joint exhibits a spring-type behavior during the stance phase of walking at the preferred speed, which is both subject-specific and gait-specific. This observation led us to hypothesize that the human knee joint could partially adapt to an externally-applied tuned mechanical stiffness during the stance phase leading to reduced muscle involvement and energy expenditure. We also hypothesized that a spring, which is tuned to the body size and gait speed, in parallel with an impaired knee joint during the stance phase can partially restore the natural spring-type behavior of the knee joint. Three experimental and theoretical steps were taken to test these hypotheses. First, a series of statistical models were developed that can closely characterize the momentangle behavior of the knee joint using a set of measurable parameters including body weight and height, gait speed, and joint excursion. It is explained that these models can be used to tune the components of knee exoskeletons/orthoses and prostheses to the body size and gait speed of users, as well as general applications in understanding gait biomechanics. The statistical models of the knee joint were used in the next steps of this research to tune the stiffness of the experimental exoskeletal devices throughout the experimental sessions. To experimentally test the first main hypothesis, a pair of quasi-passive knee exoskeletons was developed. When worn on a healthy subject, each exoskeleton implements an interchangeable spring in parallel with the knee joint during the stance and allows free rotation during the swing phase. The exoskeletons with a range of stiffness were used in a series of experiments on healthy individuals to study the mechanics and energetics of human gait in interaction with exoskeletal impedances in parallel with the knee joint. Healthy lower extremity joints showed substantial
Impact of ICTs on Innovation and Performance of Firms: Do Start-ups, Regional Proximity and Skills Matter?

Managers need to better understand how information and communication technologies (ICTs) lead to informed decisions about the investment and advantages of such technologies. However, at best, the empirical evidence on the business value of technology is mixed in relation to small firms. A total of 43 firms satisfied the study’s definition of start-ups. The final survey included 54 questions on access to and use of ICTs, innovation, firm characteristics, as well as the participants’ demographics, of which 11 factors were analyzed as part of this study. We found compelling evidence to support the positive effects of ICTs on firm-level innovation and performance based on the primary survey data of 270 small and medium enterprises (SMEs) operating in an Australian regional area. Moreover, we found that ICT strategies and skills are important factors that drive innovation and the overall performance of SMEs. In addition, various conditions, such as an agile workplace culture and international trade, can help firms improve their performance. Young businesses, particularly start-ups with ICT skills, show an improved innovation capability. However, remoteness appears to influence innovation negatively for nascent firms. Thus, managers should focus on improving ICT skills, strategies, and networking that help facilitate tangible ICT investments to foster innovation and growth.
Major clinical outcomes and analysis of the risk of bias of the advances in cervicofacial liposculture: a systematic review

Introduction: In the context of liposculpture, cervicofacial liposuction involves the application of negative pressure through a hollow cannula in the subcutaneous plane to gently avulse fat cells and accurately sculpt unwanted fat deposits on the face and neck. Furthermore, lipo contouring provides a versatile tool in the facial surgeon's arsenal to achieve the desired facial profile. In 2020, approximately 15.5 million cosmetic procedures were performed in the United States alone. Objective: A systematic review was carried out on the main clinical results, presenting studies on the risk of bias, and the advances in facial and cervical liposculpture as an important aesthetic tool for the dental surgeon. Methods: The rules of the Systematic Review-PRISMA Platform were followed. The search was carried out from November 2021 to February 2022 in Scopus, PubMed, Science Direct, Scielo, and Google Scholar databases. Results: 64 articles were found involving liposculpture. A total of 32 articles were fully evaluated and 14 were included and developed in the present study. Considering the Cochrane tool for risk of bias, the overall assessment did not result in significant risk of bias studies. The Funnel Plot showed symmetrical behavior. Twenty-five studies did not meet the GRADE. Most patients who were involved in the studies showed improvements in facial augmentation and contouring. In patients with loss of facial volume, high-density fat transfer with the facial injection of SVF-gel resulted in significantly higher improvement scores and better patient satisfaction. Conclusion: According to the main clinical studies selected in the present study, cervicofacial liposculpture proved to be safe and effective. In patients with loss of facial volume, high-density fat transfer with a facial injection of SVF-gel resulted in significantly higher improvement scores and better patient satisfaction. Still, the results of the studies showed that the level of self-confidence and mental health-related quality of life can be significantly improved after facial lipofilling treatment.
A novel double balanced image‐rejected mixer for ultra‐wide band communication systems

In this article, a novel double balanced image‐rejected mixer is proposed. To increase image‐rejection, a novel power divider based on quarter‐wavelength resonators, a pair of radial‐stub‐loaded coupled line filters, and a 3 dB RF quadrature microstrip/slot line coupler are employed in our design. The measurement is implemented using the Rohde & Schwarz four‐port vector analyzer. The measured results show that, the conversion loss is less than 17 dB with the image rejection over 14 dB within the operating band from 3.1 GHz to 10.6 GHz. Good performances have been achieved. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:578–584, 2017