Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of High-Quality InAs-Strained Bulk Layer Growth on GaAs by MOCVD

The interface between GaAs and InAs layers possesses good hetero-structure epitaxial growth by using MOCVD (metal organic chemical vapor deposition) method. The main peak of an InAs X-ray is sharp, the full-width half-maximum (FWHM) being narrow for the V/III ratio near 75, at only about 0.342°. A Laue pattern and a scanning electron microscopy image both show the InAs layer grown on a GaAs layer with a single crystalline structure. The i-GaAs buffer layer is grown on a (100) semi-insulated GaAs substrate at 600℃ at a mole fraction ratio of group V to group III with an optimum of 100. The growth rate of the GaAs layer is 0.11 μm/min. The n-like InAs layer formed as a high-strained layer is also grown on the GaAs buffer layer at a substrate temperature of 600℃ by a V/III mole fraction ratio with an optimum of 75. Consequently, the growth time of the InAs layer cannot exceed 20 minutes. The growth rate of the InAs layer is about 0.12 μm/min at a growth temperature of 600℃. A carrier concentration of 2×10^17/cm^3 and a Hall mobility of 2×10^3cm^2/V-sec were obtained for an undopant n-like InAs prepared on a GaAs substrate at a growth temperature of 600℃ at a group V/III ratio of 75.
Pipe Drift Estimation based on the Measurements of Geometrical Parameters from a Single Pipe

Pipe drift is among the most relevant quality factors of pipes for deep water applications. This is estimated through empirical models encoding geometrical parameters. In a previous work, we relied on Gaussian ﬁelds to map these parameters onto the pipe drift conformance probability. The ﬁeld kernel was estimated from a set of measurements gathered from pipes of the same lot, produced at the same mill. However, in practice it is very difﬁcult to ﬁnd this homogeneous dataset. The objective of this paper is to extend the previously developed framework to estimate the drift based on the geometrical data relevant to a single pipe, only. For this, we consider known analytical kernels and infer their parameters from the single pipe measurements. Then, we estimate the actual error on the drift conformance probability estimations, considering the best ﬁtting kernel. This error turns out to be negligible.
Toward deep neural networks: Mirror extreme learning machines for pattern classification

In this paper, a novel type of feed-forward neural network with a simple structure is proposed and investigated for pattern classification. Because the novel type of forward neural network? s parameter setting is mirrored with those of the Extreme Learning Machine (ELM), it is termed the mirror extreme learning machine (MELM). For the MELM, the input weights are determined by the pseudoinverse method analytically, while the output weights are generated randomly, which are completely different from the conventional ELM. Besides, a growing method is adopted to obtain the optimal hidden-layer structure. Finally, to evaluate the performance of the proposed MELM, abundant comparative experiments based on different real-world classification datasets are performed. Experimental results validate the high classification accuracy and good generalization performance of the proposed neural network with a simple structure in pattern classification.
A HYBRID APPROACH FOR TEXT SUMMARIZATION

: In this new era, where tremendous information is available on the internet, it is most important to provide the improved mechanism to extract the information quickly and most efficiently . It is very difficult for human beings to manually extract the summary of a large documents of text. So there is a problem of searching for relevant documents from the number of documents available, and absorbing relevant information from it. In order to solve the above two problems, the automatic text summarization is very much necessary. Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings. In this paper, we present a new graph-based text summarizer method. The proposed method is fast and can be implement for text summarization.
Vers une nouvelle décomposition de matrice

Low rank approximations of a matrix are mostly performed using the singular value decomposition which is optimal for all unitarily invariant matrix norms, such as the Frobenius norm. From a statistical point of view this approach is justified when the components are perturbed by independent and identically distributed zero mean gaussian noise. If this assumption is not valid other norms and thus approximations should be considered. The norm we consider below corresponds to noise samples that would be assumed to follow the Laplace or double-exponential distribution.
Portland Cement Paste Modified by TiO2 Nanoparticles: A Microstructure Perspective

Nanomodified Portland cement paste with a water/cement ratio of 0.4 was prepared with the addition of TiO2 nanoparticles at 0.1, 0.5, 1.0, and 1.5% by mass of cement. The flexural strengths of the prepared cement-based composites were tested, and the fracture surfaces were observed by scanning electron microscopy (SEM). The flexural strength of the nanomodified TiO2 Portland cement paste reached the highest value with a dosage of 1.0 mass %. The SEM observation shows that admixing of the TiO2 nanoparticles largely decreased the quantity of internal microcracks in the cement paste. A new type of needle-shaped hydration product was observed, and its potential growth mechanism was proposed. Atomic force microscopy was introduced to observe the microstructure of nanomodified Portland cement paste, and the results show that the nanoroughness of the hardened cement pastes with admixed TiO2 nanoparticles was much lower than that without the TiO2 nanoparticle addition. Coupled with X-ray diffraction data, the mor.
Adsorption of Rh, Pd, Ir, and Pt on the Au(111) and Cu(111) Surfaces: A Density Functional Theory Investigation

Several experimental and theoretical studies have suggested that the formation of surface alloys or the deposition of strained transition metal (TM) monolayers (ML) on TM supports can be considered as a route for the designing of new catalysts. In this work, we report an extensive first-principles investigation based on density functional theory of the adsorption of TM (Rh, Pd, Ir, Pt) on the Cu(111) and Au(111) surfaces considering TM coverages ranging from 1/9, 2/9, up to 1 ML. Although there are clear differences in the atomic radii of the Cu, Rh, Pd, Ir, Pt, and Au atoms, at low TM coverages, both systems exhibit similar behavior, namely, the lowest energy adsorption site for a single TM adatom is not in the hollow sites on the surface, but in the lattice sites located in the topmost layer. For TM/Au(111), this trend follows adatom by adatom up to the limit in which all the substrate Au atoms are exposed to the vacuum region, with the underlying TM adatoms, and it is also valid for Rh/Cu(111). For Pd,.
Disequilibrium Moisture Partition in Oil-paper Insulation

On basis of Fick’s second law,a partial differential equation is designed to analyze the moisture diffusing in the oil-paper insulation. By analyzing the boundary condition and solving the equation,a set of curves for disequilibrium moisture concentration distributing along thick direction in paper at regular intervals are obtained. By integrating the curves,a curve for average moisture concentration in paper changing with time is obtained. Both the numerical calculation and experiment both show the curve is exponent,but the equilibration time is affected by the temperature,the equilibration moisture,the thickness of the paper,and the permeating modes. By the compute simulation,the four effects are validated independent,and the equation for counting the equilibrium time is obtained.
AVALIAÇÃO DE UM SISTEMA HÍBRIDO DE COMUNICAÇÃO PARA APLICAÇÃO EM REDES INTELIGENTES DE ENERGIA ELÉTRICA / EVALUATION OF A HYBRID COMMUNICATION SYSTEM FOR APPLICATION IN INTELLIGENT ELECTRIC POWER NETWORKS

Smart grids have increasingly become a reality with electrical systems. Due to this technological transformation of electrical networks, a wide range of equipment with the most diverse communication technologies and functionalities has been installed and distributed throughout the electrical network, supported by an approach of scalability, interoperability and adaptability in critical applications or not , in order to subsidize companies or customers on the state of the electricity network. In this sense, this
NON-COMMERCIALLY EXPLORED Campomanesia spp. NATIVE FRUITS AS POTENTIAL SOURCE OF ANTIMICROBIAL COMPOUNDS

Campomanesia eugenioides, Campomanesia xanthocarpa (Berg) and Campomanesia xanthocarpa var. littoralis comprises non-commercially explored native fruits from Brazil. Considering the scarcity of studies on the native fruits characterization from Campomanesia spp. , the aim of the present study was to determine the antibacterial effects of C. xanthocarpa (Berg), C. eugenioides and C. xanthocarpa var. littoralis agains 15 strains of food-borne pathogens. The antibacterial tests demonstrated a high antibacterial activity for some of the Gram-positive bacteria tested, i.e., Bacillus cereus, Bacillus subtilis, Listeria monocytogenes, and Staphylococcus aureus. It is noteworthy that C. xanthocarpa var. littoralis fruit extract was the better against a more substantial number of bacteria. Finally, it was possible to report that phenolic and flavonoids compounds present in C. eugenioides, C. xanthocarpa and C. xanthocarpa var. littoralis could be strongly associated with the antibacterial activity observed.
Degenerative cervical spine disease: pathogenesis and symptoms

Cervical discopathy is a degenerative process in the intervertebral disc and the structure of the fibrous ring. Due to the processes of proteoglycan breakdown and collagen structure, the nucleus pulposus is dehydrated and susceptible to the dam- aging process. The stretching of the ring leads to its tearing and the appearance of a hernia of the nucleus pulposus. These changes lead to the growth of degeneration in the anatomical structures, i.e. the yellow ligament or intervertebral joints. Treatment of the disease should take into account the mechanism of degeneration and biomechanics of the cervical spine. Streszczenie
Development of Novel Crystal Forms of Metaxalone for Solubility Enhancement

Metaxalone is oxazolidin-2-one derivative, biopharmaceutics classification system class II drug, available in the market as a central muscle relaxant drug, used to alleviate discomforts associated with severe, painful musculoskeletal conditions. The major drawbacks associated with formulation of solid oral dosage forms of metaxalone are its poor aqueous solubility, poor flow property and low compressibility. The aim of present study was to develop different crystalline forms of metaxalone in order to overcome these drawbacks and consequently enhance its dissolution and bioavailability. For this purpose two different approaches were adopted namely cocrystallization and melt sonocrystallization. Cocrystals of metaxalonesaccharin and metaxalone-lactic acid were prepared, with saccharin and lactic acid as coformers, by using solvent evaporation method. Melt sonocrystallization technique was applied for preparation of melt sonocrystallized form of metaxalone. The percentage yield, melting point, particle size, flow property, crystallinity index, solubility and dissolution profiles of developed crystals were evaluated and compared with original metaxalone. Further the developed forms of metaxalone were characterized by differential scanning calorimetry, fourier transform infrared spectroscopy, X-ray diffraction and scanning electron microscopy. The sharp peak of differential scanning calorimetry thermograms and fourier transform infrared spectroscopy spectras indicate towards the formation of crystalline forms with retention of characterstic functionality of original metaxalone. The particle size and crystallinity index of the developed metaxalone crystals were significantly reduced in comparison to the original form. In addition, there was significant enhancement in the flow and compressibility of developed crystals, as indicated by the value of angle of repose, Carr’s index and Hausner ratio. The solubility of prepared crystals was much higher as compared to metaxalone and progressively increased in the following order: metaxalonesaccharin< metaxalone-lactic acid<melt sonocrystallized form of metaxalone. The dissolution studies revealed that 87.08, 92.79 and 99.79 % of the drug was released within 30 min from metaxalone-saccharin, metaxalone-lactic acid and melt sonocrystallized form of metaxalone crystals, respectively compared to 67.63 % release from the original metaxalone drug. Further maximum solubility and faster dissolution was observed with melt sonocrystallized form of metaxalone as compared to metaxalone-lactic acid and metaxalone-saccharin. On the basis of this it can be concluded that solvent evaporation method and melt sonocrystallization techniques are promising techniques that may afford crystals with improved flow property, improved solubility and dissolution.
Simple and Efficient Method for the Analysis of Transesterification Reaction Mixtures for Biodiesel Production by Reversed-Phase High Performance Liquid Chromatography

Isocratic reversed-phase high performance liquid chromatography (HPLC) methods have been developed for the analysis of biodiesel methyl esters and intermediate species associated with transesterification reactions. While most HPLC methods for biodiesel analysis employ gradient elution and ultraviolet (UV) detection, these methods employ isocratic elution with refractive index detection (RID). For the separation of methyl esters, monoglycerides, and free fatty acids, a mobile phase of 85% acetonitrile + 15% deionized water is used. Diglycerides can be separated using 100% methanol, and triglycerides can be quickly analyzed using a mixture of 60% 2-propanol + 40% methanol. While previous HPLC methods for methyl ester analysis have been shown to successfully separate components found in biodiesel mixtures, the use of UV detection is inadequate for the detection of species with saturated carbon chains. Many of the common feedstocks used for biodiesel synthesis contain a significant percentage of species with .
Sterols and triterpenes from the non-polar antitubercular fraction of Abutilon indicum

Introduction: Abutilon indicum Sweet (Malvaceae) is used in Filipino folk medicine as demulcent, diuretic, sedative, aphrodisiac and antidiabetic remedy. It is also effective in the treatment of leprosy. It is also used as a laxative for patients having hemorrhoids and in the treatment of coughs, puerperal disease, urinary disorders, chronic dysentery and fever. Methods: Air-dried powdered leaves of A. indicum were initially extracted with DCM-methanol (1:1) to afford a crude extract which was fractionated on a silica gel column to afford four fractions. The first fraction which showed antimycobacterial activity was further chromatographed in a silica gel column to afford bioactive fractions from which four compounds were obtained. The crude extract, fractions and isolated compounds were screened for their inhibitory effect against Mycobacterium tuberculosis H37Rv (ATCC) using the colorimetric Microplate Alamar Blue Assay (MABA) method. Results: The fractions obtained after silica gel chromatography of the crude DCMmethanol (1:1) revealed the first fraction (MIC=64 mg/mL) to exert the highest inhibition against M. tuberculosis H37Rv.Further separation of this fraction afforded sub-fractions with moderately strong inhibitory activity against the test organism (MIC up to 64 mg/mL). Chromatographic purification of sub-fraction 1 afforded four compounds which were spectroscopically identified as β-amyrin 3-palmitate (1), squalene (2) and a 1:1 mixture of the sterols β-sitosterol (3) and stigmasterol (4). Evaluation of the antimycobacterial activity of 1–4 showed insignificant inhibitory activity against the test organism (MIC = >128 mg/mL). Conclusion: The present results demonstrate the potential of Abutilon indicum as a plant source of compounds that may exhibit promising antituberculosis activity. While the known compounds isolated for this plant did not show antimycobacterial activity, the obtained results are considered sufficient reason for further study to isolate the metabolites from A. indicum responsible for the antitubercular activity.
Convergência real e infra-estruturas

Using panel data, this paper explores the role of infrastructure and human capital in the convergence of income levels and growth in the European Union, during the period 1960-2000. According to the neo-classical theory diminishing returns of capital result in poor economies growing faster than rich economies. The findings suggest that it is difficult to reject the hypothesis of non-convergence in per capita incomes of UE countries, but the results do not support the hypothesis that the speed of convergence is affected by infrastructures.
Educational robotics and artificial intelligence education: what priorities for schools? = Robotica educativa ed educazione all’intelligenza artificiale: quali priorità per la scuola?

It is an increasingly common practice in schools to propose to children and young people educational activities based on the use of robots to introduce topics such as digital competences, computational thinking and artificial intelligence (AI) education. Although, the potentials of educational robotics are many, we must also ask ourselves what it means today, for a teacher to educate to AI. In this regard, this contribution reports the most significant aspects that emerged from a first exploratory survey aimed at acquiring specific information on the use of robots in relation to AI education. The survey was carried out on a small sample of privileged witnesses belonging to the school. In the face of a recognized impact of robotics experiences on learning, specific attention emerges to what can be done to educate the new generations to be future digital citizens, aware of possible implications of AI in our lives.
The Embedded Researcher: Experiencing Life in a Probation Approved Premises

Primary themes in reflexive accounts of fieldwork have arisen around accessing fieldwork sites, negotiating gatekeepers, the balance between insider and outsider positionality, and the covert and overt nature of the researcher status and research focus. Despite this, such reflexive accounts prioritise the emotional and practical challenges for the researcher and the research, and what is more neglected is deepening this to consider how the knowledge, understanding and interpretation of the research topic is shaped and informed by the personal embodied sensory experiences of the researcher in the field. In this chapter I explore how I subjectively experienced doing ethnographic research in a Probation Approved Premises with residents who had been convicted of a sexual offence, considering how I became sensorially embedded within the physicality and inter-personal relationships of the research site. As a result, I had emotional reactions to the sense of place that meant I was able to not only understand my participants’ accounts or behaviours in the abstract (as an onlooker), but also empathically: as one who feels some of the same impacts of place and space as they do. This sharing and analysing of the holistic sensory experience of place was able to bridge some of the social and psychological distances between us, allowing me to gain a deeper understanding of life for residents and staff as a consequence of analysing the physical and emotional feel of the place.
The Suicide Motive of Hannah Baker in Jay Asher’s 13 Reasons Why

Suicide has been one of the most significant issues in the world. Thus, this topic is very interesting to be discussed. The study aims to analyze the suicide motive of Hannah Baker. The study is focus on what the suicide motive of Hannah Baker is. The study applies descriptive qualitative methodology using the theory of needs by David McClelland to analyze the suicide motive of Hannah Baker. The result of the study reveals that Hannah Baker is lack of human needs fulfillment. Hannah cannot reach human needs like achievement needs, power needs, and affiliation needs. Those three aspects are supported by her personality. She is an introverted person who prefers to be alone and keep all her sadness within herself. In the end of the story, she tries to tell everything she feels to her counselling teacher, her teacher does not give the advice that she needs. It makes her feel helpless and worthless. She ends her life by cutting her wrist.
APPLYING SMARTPHONES FOR POSITIONING IN THE MIDDLE OF THE ROOM

The article deals with the problem of navigating indoors in conditions of satellite signal unavailability. In this case, alternative sources of positioning are used to determine the location of the objects. Use for navigation tasks inside the premises of the smartphone allows you to get comprehensive data on its operation. To solve the problem of navigation, the most important elements of the data sets is the unique identifier of the monitored device and the relative power level of the signal received from it. The data of the calculations and experiments show that the navigation measurements with the help of smartphones allow to qualitatively solve the problem of observation at given distances between sensors not exceeding 5-7 meters. The relative position of the sensors and the moving objects is important. At a distance of 5 m from the beacons and the object, the actual accuracy of the object coordinates is 1-2 m, which is sufficient for traditional navigation tasks in the middle of buildings.
Enabling Fine-Grained Finger Gesture Recognition on Commodity WiFi Devices

Gesture recognition has become increasingly important in human-computer interaction and can support different applications such as smart home, VR, and gaming. Traditional approaches usually rely on dedicated sensors that are worn by the user or cameras that require line of sight. In this paper, we present a fine-grained finger gesture recognition system by using commodity WiFi without requiring user to wear any sensors. Our system takes advantages of the fine-grained Channel State Information available from commodity WiFi devices and the prevalence of WiFi network infrastructures. It senses and identifies subtle movements of finger gestures by examining the unique patterns exhibited in the detailed CSI. We devise environmental noise removal mechanism to mitigate the effect of signal dynamic due to the environment changes. Moreover, we propose to capture the intrinsic gesture behavior to deal with individual diversity and gesture inconsistency. Lastly, we utilize multiple WiFi links and larger bandwidth at 5GHz to achieve finger gesture recognition under multi-user scenario. Our experimental evaluation in different environments demonstrates that our system can achieve over 90 percent recognition accuracy and is robust to both environment changes and individual diversity. Results also show that our system can provide accurate gesture recognition under different scenarios.