Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic wetting in pressure-infiltration of ceramic particle preforms by molten metal

This thesis investigates the interaction between mechanically induced flow of a liquid metal into a porous solid, and kinetic effects at the triple line. The approach is experimental and focuses on metal-ceramic systems for which the literature gives values of wetting and local kinetic parameters (θ,σLV , and interfacial phenomena near the triple line) at high temperature, gleaned by means of the sessile drop experiment. We investigate the infiltration with Al of Al2O3 preforms at 1000◦C, 1050◦C and 1100◦C, and the infiltration with Cu-x (x=Si, Ti or Cr) of porous CGr between 1050◦C and 1200◦C. Those three alloys are known to form carbides better wetted by the liquid than is graphite. If measurements are taken at various values of applied metal overpressure, in the presence of thermally activated processes at the triple line, time intervenes in capillarity and the front does not stabilise. We observe that the metal continues to invade slowly the porous medium, gradually “creeping” into its pores under the action of local phenomena that take place at the triple line. We characterise such dynamic infiltration by measuring rates of steady isobaric infiltration, measuring also the variation of infiltration rates at Pth and Pth+0.05MPa. Saturation rates are then computed by means of a linear regression over 100s of the measured saturation for each pressure step. Data are interpreted using an analogy with high-temperature plasticity. This leads to assume that the applied pressure contributes a proportional reduction in the activation energy of the process that governs the rate of preform infiltration, the constant of proportionality defining an activation volume that characterises the thermally activated process. Cu-46at.pct. Si infiltrating carbon is a mildly reactive system that forms SiC at the interface. Isobaric saturation rates of infiltration and their dependence on variations in the applied pressure were conducted between 1050◦C and 1200◦C. It is found that an activation volume on the order of ≈200nm3 makes the data compatible with the Arrhenius law, with an estimated activation energy value of ≈400 k J mol , which is realistic for a process limited by the rate of SiC growth along the interface. Aluminium infiltrating three different Al2O3 preforms shows similar behaviour as does the mildly reactive Cu-Si/C system if particles in the preform are highly angular, regardless of the presence or absence of Na impurities. Isobaric saturation rates measured between 1000◦C and 1100◦C give a similar activation volume as the Cu-Si/C system, on the order of ≈200nm3, and an activation energy ≈300 k J mol , suggesting that the kinetics are likely limited by solid phase diffusion. It is also shown that sodium impurities in alumina serve to facilitate its infiltration by aluminium, likely because sodium alters the oxide skin that initially covers the melt.
An Approach to Silhouette Identification Realization for Fashion Images Using Deep Neural Networks

: The objective of our studies is the inquiry into data set of the silhouette styling by machine learning for the luxury brands. The computer vision meets the visual fashion for the long years. Recently, computer vision techniques has been employed in algorithm of fashion recognition. But the aim of the computer vision is that the computer vision meets fashion but not that fashion meets computer visions. The luxury fashion consumer expects the favorite own beautiful silhouette styling, not simply the computer pictures. Therefore, silhouette learning of clothing by Neural Network Console needs to meet the personal professional styling knowledge.
Efficacy of preoperative comprehensive pulmonary rehabilitation in patients with lung cancer

Low exercise tolerance is associated with poor thoracic surgical outcomes. Preoperative pulmonary rehabilitation (PPR) can optimize individuals9 exercise tolerance and overall medical stability before lung cancer resection surgery. Our aim was to evaluate the efficacy of pulmonary rehabilitation before lung cancer surgery. METHODS: A total of 15 male patients (66.6±5.87 years) with the diagnosis of non small cell lung cancer were enrolled a comprehensive, multidisciplinary, supervised inpatient PR program, consisted of bronchial hygiene, breathing control, energy conservation techniques, exercise training (endurance and strength), psychological support, nutritional support. Exercise capacity and VO2 peak were evaluated by using incremental shuttle walk test (ISWT). Dyspnea sensation was assessed with MRC scale, psychological status with Hospital Anxiety and Depression scale, on admission and after PPR. The values before and after PPR was given in RESULTS: After minimum 2 week daily multidisplinary PPR program a significant reduction of MRC and HADS scores were recorded while ISWT and VO2 peak increased CONCLUSIONS: Thus, pulmonary rehabilitation before lung cancer surgery is potentially an attractive technique for optimizing preoperative exercise capacity, dyspnea sensation and psychological status and conceivably, in turn, reducing postoperative respiratory complications.
IASI‐Derived Sea Surface Temperature Data Set for Climate Studies

Sea surface temperature (SST) is an essential climate variable, that is directly used in climate monitoring. Although satellite measurements can offer continuous global coverage, obtaining a long‐term homogeneous satellite‐derived SST data set suitable for climate studies based on a single instrument is still a challenge. In this work, we assess a homogeneous SST data set derived from reprocessed Infrared Atmospheric Sounding Interferometer (IASI) level‐1 (L1C) radiance data. The SST is computed using Planck's Law and simple atmospheric corrections. We assess the data set using the ERA5 reanalysis and the EUMETSAT‐released IASI level‐2 SST product. Over the entire period, the reprocessed IASI SST shows a mean global difference with ERA5 close to zero, a mean absolute bias under 0.5°C, with a SD of difference around 0.3°C and a correlation coefficient over 0.99. In addition, the reprocessed data set shows a stable bias and SD, which is an advantage for climate studies. The interannual variability and trends were compared with other SST data sets: ERA5, Hadley Centre's SST (HadISST), and NOAA's Optimal Interpolation SST Analysis (OISSTv2). We found that the reprocessed SST data set is able to capture the patterns of interannual variability well, showing the same areas of high interannual variability (>1.5°C), including over the tropical Pacific in January corresponding to the El Niño Southern Oscillation. Although the period studied is relatively short, we demonstrate that the IASI data set reproduces the same trend patterns found in the other data sets (i.e., cooling trend in the North Atlantic, warming trend over the Mediterranean).
Malicious Url Recognition and Detection Using Attention-based Cnn-lstm

A malicious Uniform Resource Locator (URL) recognition and detection method based on the combination of Attention mechanism with Convolutional Neural Network and Long Short-Term Memory Network (Attention-Based CNN-LSTM), is proposed. Firstly, the WHOIS check method is used to extract and filter features, including the URL texture information, the URL string statistical information of attributes and the WHOIS information, and the features are subsequently encoded and pre-processed followed by inputting them to the constructed Convolutional Neural Network (CNN) convolution layer to extract local features. Secondly, in accordance with the weights from the Attention mechanism, the generated local features are input into the Long-Short Term Memory (LSTM) model, and subsequently pooled to calculate the global features of the URLs. Finally, the URLs are detected and classified by the SoftMax function using global features. The results demonstrate that compared with the existing methods, the Attention-based CNN-LSTM mechanism has higher accuracy for malicious URL detection.
A new method of vision-based seat belt detection

In the traffic management system, it can greatly improve the management efficiency if the algorithm that monitors automatically detects whether the driver fastens the seat belt; however, currently prevalent detecting methods cannot achieve satisfactory results in aspects of the detecting rate, the image quality requirement and the colour difference between seat belt and the surrounding environment. We propose a method of seat belt detection based on visual positioning. The algorithm locates the window according to the licence plate position and the contour statistics obtained from the gradient. The face detection is used to adjust and determine the seat belt detection area in the window. Finally, the method of seat belt detection based on the connected area is used to detect whether the seat belt is fastened. Experiments show that the successful rate of the proposed method is much higher than other existing methods, and satisfactory results are obtained.
Image Registration of Infrared and Visible Image Based on Geometric Constraint

With the wide application of infrared sensors and visible sensors, the registration of two heterogeneous images has caused widespread concern. Multi-angle comprehensive analysis of multi-sensor imaging systems can obtain more accurate image information. However, the main challenge of image registration is the detection of feature points and the acquisition of the correct feature point matching pairs. A Geometric constraint method is proposed to obtain the correct feature matching pairs. Three feature point matching pairs are randomly selected in the two images, and the ratio of the corresponding line segment lengths is obtained according to the coordinates of the three feature points to find the most three similar feature point matching pairs. Compared with the RANSAC algorithm, the method can obtain the correct feature point matching pair better. The algorithm runs on the DSP platform for about 30s, the error is 1 pixel, and the correct rate reaches 80%.
Using logistic regression to measure unmet need levels in some rural upper Egypt governorates

The main objective of this paper is to measure the levels of unmet need in the rural areas of some Upper Egypt governorates, namely the governorates of Minya, Assiut and Sohag, also the research aims to identifying the most significant influential variables using the binary response logistic regression approach. The study sample included 4000 women. The results resulted in the entry of 7 independent variables in the expected model of a total of 29 variables representing demographic, social and economic characteristics at 5% significant level. The determination coefficient (Nagelkerke R) has reached 0.752, so the ability of the independent variables to interpret any changes happens for the dependent variable is a good explanation percentage. The percentage of the total correct classification was 82.63 % which is considered a high and good percentage exceeding the minimum division efficiency of 73%. Thus, the model is generally good as the model's significance is less than the allowable error level of 1%.
Quantitative Evaluations of Uncertainties in Multivariate Operations of Microgrids

Microgrid (MG) provides a promising solution to managing various distributed energy resources and loads within defined electrical boundaries. However, variable renewable energy generation and loads as MG inputs would inject complex uncertainties into MG operations, which have significant impacts on MG outputs (e.g., system frequency, bus voltages, and power flows). It is imperative to evaluate the impacts of pertinent uncertainties on MG multivariate outputs for securing MG operations. In this paper, a multivariate global sensitivity analysis (MV-GSA) with three MV-indices is proposed for quantifying the impacts of correlated renewable energy generation on MG multivariate outputs. The proposed MV-GSA overcomes the shortcomings of conventional univariate GSA (UV-GSA) in which the correlations among multivariate outputs are neglected. Also, analytical representations of indices for the proposed MV-GSA are derived by which the computation burdens are significantly reduced as compared with those of using the Monte Carlo simulation. The effectiveness of the proposed method is verified by using the modified IEEE 33-bus and IEEE 123-bus MG systems.
Strawponic for No-Till Potato Production

Strawponic is an innovative and exotic system for growing potato on soil surface using crop straw as cover mulch. A field trial was carried out at the American University of Beirut in Lebanon to test the efficacy of this system for small potato producers. Barley (Hordeum vulgare) straw mulch at 25, 50 and 75 t/ha was used to cover potato tubers in no-till system. Potato plant number, height, number of shoots and leaves, root and shoot dry weight, and potato yield were collected. Results showed that all tested rates of straw significantly increased potato yield in comparison to the till system. Marketable yield was the highest with no-till potato at 50 and 75 t/ha compared to no-till potato at all tested surface straw rates. None of the treatments was harmful to potato plants compared to the till potato. This study could be a promising gate for production of potato for small-scale farmers.
Global DNA Methylation as a Potential Underlying Mechanism of Congenital Disease Development

During the last decade, quantitative measurement of the methylation status in white blood cells (WBCs) has been used as a potential biomarker in a variety of diseases. Long interspersed nucleotide element-1 (LINE-1) has been used widely as a surrogate marker of global DNA methylation. Altered maternal DNA methylation is suggested to be an underlying mechanism in the trisomy 21 and the development of birth defects, including congenital heart defects (CHDs). The molecular mechanisms that underlie the epigenetic regulation of gene transcription are independent of DNA sequence, but they do depend on environmental stimuli, which are especially important in fetal development in utero environment. Folic acid deficiency and genetic variations of folate pathway genes, such as the methylenetetrahydrofolate reductase gene ( MTHFR ), are foremost among these maternal risk factors. Also, there are exogenous risk factors (cigarette smoking, alcohol intake, medica-tion use, periconceptional maternal supplementation, body mass index, and dietary habits) with impact on maternal LINE-1 methylation. MTHFR C677T genotype/ diet and other environmental factors as significant predictors of LINE-1 DNA methylation in regard to congenital diseases will be discussed in the chapter.
Theoretical Application of Psychodramatic Techniques for the Facilitation of a Positive Body Image Among Adolescent Girls

This theoretical research explores how psychodramatic techniques can be used to help adolescent girls develop a positive body image (PBI). This paper proposes the use of an approach that facilitates the growth of positive body image over one that attempts to get rid of negative body image. The literature suggests that psychodrama, with its experiential and active components, has the potential to facilitate PBI among girls when paired with the constructs that make up a positive body image which include body appreciation, body acceptance and love, broadly conceptualizing beauty, inner positivity, adaptive appearance investment, and filtering information in a body-protective manner. Recommendations for future research and the application of theoretical interventions are discussed.
A Survey on Edge-Based Internet-of-Things

– Internet of Things (IoT) is improving the overall quality of our lives by helping us to connect, measure and control the different parameters of the system in an automated manner. The IoT devices are generating massive volumes of data that needs to be processed and on the basis of the results, decisions are made. The IoT devices have limited resource capabilities, so these devices utilize the services of the cloud servers. The issue in utilizing the services of the cloud is that it fails to provide support for real-time and time-critical applications. In order to reduce the response time of the system, another service layer is added to the architecture i.e. Edge computing. The IoT devices will now send their requests to the edge servers. Utilizing the services of the edge servers will reduce both the network traffic to the cloud and response time of the system. This paper presents a detailed survey of Edge-based IoT taking various parameters like architecture, bandwidth, security, energy, payload, etc. into consideration.
Comparing mechanical properties of impact modified polypropylene-copolymer (IMPP) from injection molding (IM) and fused layer modeling (FLM) processes

The purpose of this study was to produce dimensionally accurate and reliable fused layer modeling (FLM) feedstock composed of an impact modified polypropylene matrix, compounded with a cellulose nanofiber (CNF) reinforcement and coupled by a maleic anhydride coupling agent to produce comparable mechanical properties in comparison to the industry-standard method of injection molding (IM). ,A spray dried CNF (SDCNF) was compounded with the polymer matrix using a masterbatch method. The composite was diluted with neat polymer and extruded into a filament and then printed into standardized mechanical testing samples. For comparison, the filament was chopped and standardized samples were produced with IM. ,A loss in mechanical properties of up to 30% was observed in FLM samples. If normalized to reflect improved density from a part consolidation method, losses are reduced to 15% or show improvements in the neat polymer matrix. ,Limited research has been done on producing FLM feedstock, reporting mechanical property results based on standardized testing and comparing the same material with IM.
Automated library booktruck for traditional libraries

Libraries are an integral part of our society’s knowledge repository and even though technological advances such as the internet, smart devices and an ‘always-connected-society’, provide avenues for fast and almost instantaneous access to knowledge, libraries still provide a physical place for the collection and dissemination of knowledge. The prompt shelving of the physical returned library books is an important task in any traditional library. To help speed up the shelving process, this paper proposed and simulated an automated booktruck that is capable of moving returned library books from the return desk back to the shelves. The simulation models currently available robotic hardware and implemented path finding and localization. The simulation results showed that returned books can be delivered to the shelves four times faster than the by using the current practices.
Heat shock factor 5 is essential for spermatogenesis in mice: Detected by a new monoclonal antibody

Objective(s): Here, we examined the function of our produced monoclonal antibody (mAb10C3) to recognize one of the most important members of the HEAT shock factor family, Hsf5, in embryonic development and in spermatogenic cells of adult mouse testis. Materials and Methods: The targeting effects of mAb10C3 were investigated by immunohistochemistry analysis in the different phases of the embryo and in the adult testis tissue sections. Results: The results of immunohistochemistry staining on the mouse embryos by the supernatant of hybridoma clone that produced mAb10C3, in the early and late phases (E7.5 and E14.5) of embryonic development, indicated that mAb10C3 could only detect Hsf5 in E7.5 and it did not have any targeting activity in the late phase of development. Therefore, we showed that the hsf5 gene has expressed in early mouse embryonic development. On the other hand, mAb10C3 could detect Hsf5 in spermatogonia and spermatocytes of adult testis in comparison with a known anti-Hsf5 antibody (ab98939) and an anti-PCNA antibody as a marker of spermatogonia cells. Conclusion: Taken together, these data indicated that generated anti-testis mAb10C3 was generated against anti-testis proteins, specifically to target Hsf5, and can be useful as a scientific tool to investigate the critical genes in the development and spermatogenesis.
Enhancing Teaching Effectiveness to Foster Student Academic Motivation and Student Engagement in the EFL Classroom through Organization Development Interventions: An Action Research of Zhejiang Yuexiu University of Foreign Languages in China

The issue of student engagement is crucial in that it is not only conductive to students’ academic development, but also influences their everyday experiences, both socially and physiologically. So far, there is a dearth of empirical research on implementing ODI to effectively foster student engagement in Chinese EFL classroom. Thus, a systematic inquiry through action research is considered necessary and imperative. This current research focused on enhancement of student academic motivation by implementing ODI in order to foster student engagement in the EFL classroom. The sample was 82 freshmen from two parallel classes. The experimental group was exposed to organization development interventions, including appreciative inquiry, goal setting, team building, differentiated instruction, whereas the comparison group received no intervention. Mixed research methods were adopted to collect and analyze the data. The paired-samples t test showed that there was statistically significant difference in student academic motivation and engagement for the experimental group between pre-ODI and post-ODI while there was no statistically significant difference for the control group. The Pearson’s Correlation Coefficient showed that there was a very strong positive relationship between academic motivation and student engagement. The qualitative analysis of students’ reflection reports and classroom observation feedback by three instructors justified how the ODIs employed in this research enhanced student academic motivation and student engagement. Based on the findings, critical recommendations for further research were discussed.
French early release: McProcedures and McRe-entry

Before 2009, the main rationales of the French early release system were reinsertion and resocialisation; the prevention of reoffending, the interests of society; and the rights of victims. With the chronic prison overcrowding and the cost for public finances a radical change occurred with three law reforms (2009, 2014, 2019). The new main – if not unique – objective is to free as many prisoners as possible, this, as quickly as possible, without through the gate programmes that address prisoners’ release needs. As a research conducted from 2014 to 2016 shows ‘bad fast’ procedures are rejected by both reentry judges (they lack ‘moral alignment’) and with prisoners (they are perceived as unfair and unsupportive). This article will deal with these subjects by drawing upon theories of innovation diffusion and legitimacy of justice.