Miracle-dz/UniFAR-FTUs huggingface dataset:
Strain-Balanced Criteria for Multiple Quantum Well Structures and Its Signature in X-ray Rocking Curves†

This paper examines the concept of strain balance in alternate tensile and compressively strained layers using classical elasticity theory and clarifies a number of issues associated with the definition of strain and misfit. The strain-balance criteria are derived from a zero average in-plane stress condition and compared against two commonly used thickness weighted models, based on strain and lattice parameter respectively. The zero-stress condition fully accounts for differences in the elastic properties of the layers, and establishes the true definition for a strain-balanced structure, within the confines of linear elastic theory. The validity of the thickness weighted models is discussed in the context of epitaxial growth tolerance, showing that for some device designs, the choice of strain-balance model is important for successful growth. The differences in the strain-balance models have consequences for characterization. For example, a comparison between simulated X-ray rocking curves from structure.
Forecasting Cryptocurrency Prices using Machine Learning

Blockchain and cryptocurrencies have risen to popularity in the recent years to a great extent due to its increasing trading volumes and huge capitalization in the market. These cryptocurrencies are being used not only for trading but are being accepted for monetary transactions as well these days. As the prices ﬂuctuate and return on investment increases investors, traders and general public are showing increased interest towards bitcoin and altcoins. This research focuses on implementing forecasting models that will return accurate price predictions for cryptocurren-cies. Prices for Bitcoin, Ethereum and Litecoin are predicted using the traditional forecasting model for timeseries ARIMA, the Prophet Model and deep learning al-gorithm LSTM. The results of the three models were evaluated and the LSTM Model was found to outperform the Prophet as well as the ARIMA model.
Kernel-based Methods for Forecasting of Waste Heat Recovery in Ships

Utilization of waste heat is of great interest to the ship industry, and the need for effective databased learning methods is steadily increasing. Kernel-based models can easily be fitted to data, but models tend to become large as the number of data points grows. Model complexity is hence a problem, and finding sparse solutions is of great importance. We evaluate two identification methods which promote sparsity in the models. A regularization based approach, using `2-regularization with iterative reweighting is compared to support vector regression. Both methods are trained and validated on simulated data from a marine diesel-engine fresh-water cooling system, for modelling the recovered waste heat energy based on the engine load. No assumptions on the underlying structure of the system are needed, which make the methods flexible and easy to implement in practice.
Effects of storage temperature on the quality of minimally processed pumpkin (Cucurbita moschata Duch) treated with ethanol and chitosan

Purpose: This investigation focused on the most suitable temperature for fresh- cut pumpkin with harmonization between benefits and drawbacks. Research method: Fresh-cut pumpkin cubes were pre–treated with 30% ethanol and 1% chitosan, then stored for 15 days at different temperatures (5 °C or T5, 10 °C or T10, 15°C or T15 and 25°C or T25). Findings: At refrigeration temperature (below 10 °C), fresh-cut pumpkin could maintain its overall visual quality until the end of storage duration (15 days). The difference in firmness and total carotenoid content between T5 and T10 suggested chilling injury occurrence when pumpkin was stored under 10°C. Besides, other nutritional parameters of these two treatments such as weight loss, total soluble solid content, total phenolic compounds and antioxidant capacity did not significantly differ from each other. Regardless of their nutritional composition, T15 and T25 became disqualified for consumption on day 3 and day 6, respectively due to dramatic shrinkage and microbial development. Limitations: Storage duration should be extended until all treatments reach unacceptable quality.The activity of cell wall degrading enzymes and antioxidant enzymes during storage should be investigated to support this study’s findings. Originality/Value: The preservation of fresh-cut pumpkin can be elevated to 10 °C to avoid chilling damage without altering much of their nutritional value.
Determination of Total phenolic content , Antioxidant capacity and radical scavenging capacity of Vegetable Biomass

Vegetable biomass is the source taken for the extraction of antioxidants. The main goal of the present work is to determine the optimal conditions for the extraction of antioxidant compounds from the vegetable biomass using aqueous solutions of methanol and to investigate the total phenols content, total antioxidant capacity and the radical scavenging activity of extracts made. The maximum yield was determined for the extraction carried out under different parameters. At first, several preliminary tests were conducted to study extraction process under selected conditions (50% aqueous solution of methanol at different temperatures and time). The maximum values showed are, Total phenolic content: 0.04 mg/g GAE, Ferric reducing capacity: 3. 729μm Fe(II)/gm of extractand the percent of radical scavenge is 70.38(%).
Numerical Simulation Of Steam Bubble Condensation Using Thermal Phase Change Model

Evaporation and condensation phenomena play a significant role in many of the nuclear, biochemical, and thermal processes in industrial applications. It is a complicated phenomenon as it undergoes both heat and mass transfer processes along with the complexities involved in the interfacial regions of vapor and liquid phases. Several experimental works have been carried out in the recent past to understand the condensation process in detail. However, understanding the phenomenon using computational technique is more advantageous as the interfacial mass transfer between gas and liquid can be modelled accurately. In the present work, condensation of a saturated vapor bubble in the sub-cooled liquid is studied, and various factors that influence the bubble shape change and the bubble lifetime, are evaluated. The analysis is carried out using the ‘Multi-Fluid Volume of Fluid’ (VOF) and ‘Thermal Phase Change’ (TPC) models implemented in ANSYS Fluent commercial CFD solver. A detailed study is performed to obtain the best approach for calculating interfacial area density using a ‘user-defined function’ (UDF), and the advantage of the node-based gradient calculation method is exhibited. The numerical results obtained for the history of bubble shape and bubble lifetime are validated against the experiment and previously published works with good accuracy. The paper also elaborates on how the initial bubble diameter, the subcooling temperature, and the system pressure affects the shape and lifetime of the bubble during the condensation process.
Towards fully-predictive transport modelling in ASDEX Upgrade H-modes

The common way to predict energy confinement in future devices such as ITER is to use scaling laws, based on parameters regression of large cross-machine databases. However, this approach is limited: the regression variables are not purely engineering parameters, physics quantities such as the plasma density n e are also input; power regressions fail to capture important physics such as regime transitions; profile effects such as T i/T e or reverse magnetic shear are not retained. As a consequence, the scatter is large, but even some dependences are known to be of limited validity, such as the n e or P dependences of the IPB98(y, 2) scaling. Dimensionless physics, if validated, provides a reliable basis for predicting confinement in a future device. However, there are no experimental data to use as boundary condition, nor empirical knowledge based on that device. Also, the use of full gyro-kinetic codes with all relevant ingredients is computationally unfeasible for a full-radius modelling. Integrated modelling with the recently developed IMEP workflow allows to simulate from the separatrix to the plasma centre, without making use of any experimental input. Although physics-based models are used to predict core transport, core transport is shown to be predicted with less accuracy than the pedestal energy. Therefore, we validate the most established quasi-linear models TGLF and QuaLiKiZ in different regimes and experimental conditions, assessing their strengths and limits. The quasi-linear models are shown to predict transport accurately in a variety of experimental conditions, including dominant ion and electron heating, respectively. The well-known shortcoming near the pedestal top is solved, while a new collision operator in the QuaLiKiZ model improves the electron temperature simulation significantly. Also the Neural Network version of QuaLiKiZ, with very fast computation time, appears to be well applicable in ion heated H-modes.
Covid-19 News and Information from State-Backed Outlets Targeting French, German and Spanish-Speaking Social Media Users Understanding Chinese, Iranian, Russian and Turkish Outlets

In this data memo, we examine French, German and Spanish-language distribution of coronavirus (COVID-19) news and information originating from media outlets backed by the governments of China, Iran, Russia and Turkey. We measure the total distribution networks of these state-backed media outlets on Facebook and Twitter, and compare how social media users are engaging with that content. Over the three-week period of this study, we find that:
Rheological properties and fractal-rheology analysis of peanut protein isolate suspension

This study focuses on the non-linear rheological property and microstructure of peanut protein isolate (PPI) aggregation suspension. The impact of higher harmonics (I3 and I5) on fundamental stress wave during large amplitude oscillatory shear test was studied. Rheological test show that storage modulus G′ and loss modulus G″ increased with increasing PPI concentration. The non-linear viscoelastic properties of PPI suspension with different concentration were investigated. Using confocal laser-scanning microscopy method, this research explored the microstructure of PPI suspension as well as the fractal dimensions. The new critical strain indirect method combined with Wu-Morbidelli model to calculate the fractal dimension (2.9225) is very close to the actual fractal dimension (2.9206). Fourier Transform Rheology was adopted to get the new critical strain for fractal dimension calculation, which was proved to be feasible. Keywords: peanut protein isolate suspension, rheological property, microstructure, fractal analysis DOI: 10.25165/j.ijabe. 20201306.5717 Citation: Bi C H, Chi S Y, Hua Z, Li D, Huang Z G, Liu Y. Rheological properties and fractal-rheology analysis of peanut protein isolate suspension. Int J Agric & Biol Eng, 2020; 13(6): 220–226.
Fast-track rehabilitation after total knee arthroplasty reduces length of hospital stay: A prospective, case-control clinical trial

Objectives The aim of this study was to compare the impact of fast-track rehabilitation (FTR) and conventional rehabilitation (CR) on early recovery pattern after fast-track surgery for knee arthroplasty and conventional total knee arthroplasty (TKA). Patients and methods This prospective, case-control study included a total of 43 adult patients (10 males, 33 females; mean age 69 years; range, 50 to 82 years) who were clinically stable and admitted for rehabilitation after fast-track surgery for knee arthroplasty or conventional TKA January 2016 and August 2016. The patients were divided into two groups as the FTR and CR treatment groups. The FTR program was designed as a patient-focused care, early mobilization, and standardized postoperative milestones. The CR program was designed by standard postoperative rehabilitation care. Primary outcomes were the length of stay (LOS) in the hospital and knee function. Secondary outcomes were pain and activities of daily living. Results At baseline, both groups were similar in terms of demographic data and primary outcomes. At discharge, intra-group analysis showed significant differences in both groups in all functional outcomes, except for pain, while the inter-group LOS was also significantly different (p<0.001). Conclusion Our study results indicate that LOS can be reduced by FTR, yielding the same results in functional recovery and autonomy as CR.
The Influence of Total Quality Management Practices towards Employee Job Satisfaction

This study was conducted to identify the relationships between Total Quality Management (TQM) practices as well as their effects towards employees’ job satisfaction at Majlis Bandaraya Melaka Bersejarah (MBMB). The objective is to have a better understanding on one of the approaches as in TQM practices in preparing the organization which is to deal with environmental changes. This study involved 261 respondents from lower and middle level management employees. This study found that training and teamwork dimension had significant, strong and positive relationships with job satisfaction, while top management commitment and customer focus dimensions were recognized to have significant, moderate and positive relationship with job satisfaction. On top of that, it was discovered that training and teamwork dimension of TQM practices had the greatest influence towards employees’ job satisfaction. Top management commitment was the second influential factor of TQM practices towards employees’ job satisfaction. However, customer focus was not found to have any significant influence towards MBMB employees’ job satisfaction.
Comparing Between the Effects of Dry Needling and Shock Wave in the Treatment of Trapezius Myofascial Pain

Introduction: Musculoskeletal disorders are important causes of pain. Trigger points are one of the common reasons for myofascial pain. This study aimed to compare a single session of dry needling versus a single session of shock wave therapy on the level of pain and Range of Motion (ROM) in the people with Myofascial Pain Syndrome (MPS) of the upper trapezius muscle. Materials and Methods: Sixteen men with active trigger points of upper trapezius muscle were voluntarily attended in this study. They were randomly assigned into two groups. The patients were under a single session treatment of either dry needling or shock wave therapy. Level of pain (by Visual Analog Scale [VAS]) and active ROM of neck lateral flexion (by goniometer) were evaluated once before the treatment and immediately after the intervention. Results: The VAS scores and the neck ROMs were substantially improved at both groups of study immediately after the treatment (P<0.012). However, there were no significant differences between the two groups of interventions in terms of the VAS and ROM scores (P>0.05). Conclusion: Both dry needling and shock wave therapy can improve neck pain and ROM in patients with active trigger points in the upper trapezius muscle.
The use of the genetic algorithm for the upper bound calculation of the vehicle assignment problem

Evacuation is often used mean which serves to protect the population in case of emergency. In terms of operation research, the evacuation vehicle assignment problem (VAP) comprises the key part of the evacuation plan design problem. VAP represents nonlinear problem. This problem is solved by iterative method which is commonly used in fuzzy optimization to handle a nonlinearity model. With using this method in VAP, we fix the total evacuation time in order to obtain reduced vehicle assignment problem (RVAP) model. RVAP represents the hard combinatorial problem, which is computationally demanding. The branch and bound method is used for solving RVAP. The efficiency of this method is determined, among other things, by the method which serves to obtain the upper bound of the optimal solution. In this paper, we propose the use of the genetic algorithm to obtain the upper bound instead of the simply rounding heuristic. Numerical experiments were performed and the results draw the comparison between both of methods and illustrate the effectiveness/ineffectiveness of the proposed method which serves to obtain the upper bound of the optimal RVAP solution.
The French archaeological mission and Vat Phou : Research on an exceptional historic site in Laos

The Vat Phou complex [fig. 1] is located in Champasak Province in Southern Laos on the right bank of the Mekong River, 100 km north of the Khone waterfalls which mark the border with Cambodia. It stretches to a sacred mountain, the tip of which has a remarkable shape, identified in antiquity as a liṅga, hence the ancient Sanskrit name Liṅgaparvata, meaning “Liṅga Mountain”. The existence of a permanent spring flowing from one of the cliffs most certainly inspired the first hinduised sovereigns to build a Shivaite shrine on the site. The most ancient structures were progressively replaced by a monumental religious complex in the classic Khmer style (11th-13th century), built on the hillside [fig. 2]. The pre-Angkorian (5th-7th century) City is in the plain, 5 km to the east on the banks of the Mekong, the ruins of which are mostly visible on aerial photographs. The ancient road connecting Vat Phou to Angkor region is singularly recognizable.
Managing monetary policy with fuzzy control

Most central banks in developed economies conduct monetary policy with inﬂation targeting regime. In this framework, their primary objective is to maintain price stability and other objectives of economic policies are supported only when the primary one is not compromised. To achieve their goals, the central banks have to manipulate the key monetary policy interest rate. Usually, the decision on setting this interest rate is claimed to be based on the output of some sophisticated model. Nevertheless, the recent experience has shown that it is not always the case and interest rate changes are still heavily relied on the judgements of central bankers. Then one should ask how the interest rate is set. And one possible answer to this question is the use of fuzzy control to appropriately quantify it. This approach then is veriﬁed with the decisions on 2W reporate of the Czech Central Bank from period 2000 up to now.
WESTERN KENYA

Studies were conducted in farmer’s field, Lambwe School of the Deaf, and Mbita Point Field Station of ICIPE (ICIPE-Mbita) in western Kenya during the long rains of 2001 and 2002 to assess the impact of a diversionary stemborer management strategy on the pest’s predators. Treatments consisted of a maize monocrop (control) and an intercrop of maize and desmodium, Desmodium uncinatum Jacq. , with Napier grass, Pennisetum purpureum (Schumach), as trap crop around the field (‘push-pull’) in the farmer’s field and Lambwe School of the Deaf. Sudan grass, Sorghum vulgare sudanense (Pers.), was used in place of Napier on the station. A combination of sticky traps, direct observation and hand-collection methods were employed. Predator groups encountered included 12 families from 7 insect orders and 4 families from one arachnid order, with most of the foregoing represented in both maize monocrop and ‘push-pull’ plots. A Cheilomenes sp. and Chrysopa sp. were, however, recovered from ‘push-pull’ plots only. Ants, earwigs and spiders were the main predators encountered. Both overall and individual group populations of these predators as well as ant diversity were significantly higher in ‘push-pull’ than monocrop plots in all the sites during the vegetative, flowering and mature maize growth stages (P < 0.05, t-test). The results thus indicate a numerical enhancement of stemborer predators by use of this habitat management system.
Multi-agent AGV Conflict Free Path Planning Based on Improved Speed Control Method in Automated Terminals

Aiming at the problem that the increasing number of automated guided vehicles (AGVs) will lead to more frequent conflicts between AGVs.In this paper, a conflict-free path planning model for multi-AGV is established, aiming to minimize the blocking rate of AGVs between the quay crane and the yard crane, considering the travel speed, operation time and conflict distance of AGVs. Designing an architecture of AGV’s system based on Multi-Agent System (MAS), the interactive protocol based on blackboard model is used as the communication method of AGV, the improved speed control method and the method of determining AGV priority based on time cost are used as the AGV negotiation strategy, improving Dijkstra algorithm calculates the conflict-free path of each AGV. The results show that the average blocking rate of MAS control mode is 0.28% lower than average blocking rate of task priority control mode. In different scale maps, when the number of AGVs is more than 30, the increase of average blocking rate based on MAS is lower. The study shows that the control method based on MAS is more suitable for the conflict free path planning of more than 30 AGVs.
Prediction Model of Rolling Force based on DBN

In the rolling process of copper alloy, the rolling force directly affects the quality of the product. In order to predict the rolling force of hot rolling mill, a deep belief network (DBN) prediction model was established. The rolling force prediction model based on deep belief network does not consider the complex relationship among the parameters. By analyzing the construction of a hot rolling force model, the correlation between parameters of rolling mill and rolling force, the stochastic gradient descent method is adopted to fine-tune connection weights, to improve the stability of the hot rolling force model to use Adam optimization algorithm optimize the hot rolling force network model, and compares them in the SVM and BP algorithm
Experimental Study of Natural Gas Combustion Flue Gas Waste Heat Recovery System Based on Direct Contact Heat Transfer and Absorption Heat Pump

Condensing boiler for flue gas waste heat recovery is widely used in industries. In order to gain a portion of the sensible heat and latent heat of the vapor in the flue gas, the flue gas is cooled by return water of district heating through a condensation heat exchanger which is located at the end of flue. At low ambient air temperature, some boilers utilize the air pre-heater, which makes air be heated before entering the boiler, and also recovers part of the waste heat of flue gas. However, there are some disadvantages for these technologies. For the former one, the low temperature of the return water is required while the utilization of flue gas heat for the latter one is very limited. A new flue gas condensing heat recovery system is developed, in which direct contact heat exchanger and absorption heat pump are integrated with the gas boiler to recover condensing heat, even the temperature of the return water is so low that the latent heat of vapor in the flue gas could not be recovered directly by the general condensing technologies. Direct contact condensation occurs when vapor in the flue gas contacts and condenses on cold liquid directly. Due to the absence of a solid boundary between the phases, transport processes at the phase interface are much more efficient and quite different from condensation phenomena on a solid surface. Additionally, the surface heat exchanger tends to be more bulky and expensive. In this study, an experimental platform of the new system is built, and a variety of experimental conditions are carried out. Through the analysis of the experimental data and operational state, the total thermal efficiency of the platform will be increased 3.9%, and the system is reliable enough to be popularized.Copyright © 2013 by ASME