Miracle-dz/UniFAR-FTUs huggingface dataset:
Manufacturing Graphene and Graphene-based Nanocomposite for Piezoelectric Pressure Sensor Application: A Review

Strain sensors have spread at present times, and their electrical resistance has been interpreted. In reality, the use of strain sensors has broadened the reach of technology and allowed us to track changes in the environment in various ways. In recent years, due to their distinctive properties, films based on advanced carbon nanomaterials have started applying sophistication sensing. The strength of the tailored material has been obtained in addition to the various functions applied to these nanomaterials due to the particular structure of the nanomaterials. A prime catalyst for developing nanoscale sensors was this excellent feature. Carbon nanomaterials-based films have been increasing widely due to the excellent properties of nanocomposite-based films for sensing applications (piezoelectric application). There is also an instinctive structure of nanomaterials so that the material is high. Carbon nanomaterials such as graphene are now an excellent alternative for the production of sensors for thermal, electric and mechanical reading.
Model-checking for parametric transition systems based on symbolic execution ∗ Extended version

In this paper, we present a new speciﬁcation framework called Parametric Transition Systems (PTS) which represents a set of models as Kripke structures in a concise manner, each model corresponding to an interpretation of the PTS parameters. In order to determine models with a certain behaviour (described by an LTL temporal formula) we propose a method based on symbolic execution and directly inspired by LTL model checking technics involving B¨uchi automata. Our method determines constraints that the PTS parameters must verify such that the associated Kripke structure satisﬁes the considered formula. We then show that PTS are useful in the context of modelling of genetic regulatory network, which are highly parametric biological interacting networks. Indeed, this framework allows us to simplify the ﬁrst step of modelling process which consists in determining the parameter interpretations leading to a behaviour compatible with known temporal properties.
Modeling the Estimation Errors of Visual-based Systems Developed for Vehicle Speed Measurement

This paper aims to modeling the relationship between the error of visual-based systems developed for vehicle speed estimation (as dependent variable) and each of the detection region length, the camera angle, and the volume-to-capacity ratio (V/C), as independent variables. Simulation software (VISSIM) is used to generate a set of video clips of predefined traffic based on different values of the dependent variables. These videos are analyzed with a video-based detection and tracking model (VBDATM) developed in 2015. Errors are expressed as differences between each of the actual speeds generated by VISSIM and the speeds computed by the VBDATM divided by the actual speed. The results conducted by the forward stepwise regression analysis show that the V/C ratio does not affect the accuracy of the estimate and there are weak relationships between the estimation error and each of camera position and the detection region length.
Effect of Pressure and Temperature on Rotational Isomeric Relaxation in Ethyl Acetate

Ultrasonic absorption measurements have been made in liquid ethyl acetate over a temperature range from 10° to 80°C and up to a pressure of 1000 atm. Evidences of a rotational isomeric relaxation were observed, and the relaxation frequency fr was calculated as a function of temperature and pressure. The relaxation frequency was found to be independent of pressure (within experimental error) up to 1000 atm and to increase exponentially with increasing temperature. The activation enthalpy was found to be in good agreement with that found previously by Pinkerton. The calculated values of fr at 40°C are also in good agreement with Pinkerton and those of Kal'yanov and Nozdrev. However, the data taken at constant density as a function of temperature are in complete disagreement with the conclusions of Kal'yanov and Nozdrev who find that at constant density fr is independent of density but dependent on temperature.
Biosorption of Copper Ions by Bacillus cereus M1 16 from Aqueous Solution

Abstract The severity of heavy metal contamination and its potential adverse health impact on the public has led to tremendous efforts being made to purify water containing toxic metal ions. Biosorption is presented as an alternative to traditional physicochemical means for removing toxic metals from ground water and wastewater. Removal of copper from solution was studied using growing cells and washed cells of Bacillus cereus M 1 16. Optimum process conditions for maximum biosorption (73.3%) of Cu (II) ions using growing cells were – volume of medium: 50 ml in a 250 ml Erlenmeyer flask; temperature: 30! 'C; pH: 6.0; fermentation time: 24 h; inoculum size (24 h cell growth): 3%; initial metal ion concentration: 75 mg/L. Removal of copper using washed cells of the selected strain was investigated in batch mode and equilibrium was attained within 180 min at 30! 'C, pH 3.5 when initial metal ion concentration was 100 mg/L using 8.18 g/L biomass (dry weight) in 50 ml saline in 250 ml Erlenmeyer flask. Both Langmuir and Freundlich isotherms were tested and it was found that the former had a better fit with the data.
Hydrocarbon fluxes for ionic compound free soldering

Purpose – The purpose of this paper is to develop a new ionic compound free soldering process.Design/methodology/approach – The ability of hydrocarbons including 9,10‐dihydroanthracene, eicosane, 2,6,10,14‐tetramethylpentadecane, cyclooctane, and dicyclopentadiene to reduce cuprous or cupric oxide was investigated. The applicability of hydrocarbons as ion free flux reagents was experimentally examined. The hydrocarbons were applied to the soldering of pre‐oxidized copper electrodes under practical conditions.Findings – A 9,10‐dihydroanthracene was found to be efficient at reducing cuprous or cupric oxide powder under an argon atmosphere at 300°C for 2 min. The high‐reducing ability of the hydrocarbon is in agreement with the low‐homolytical C−H bond dissociation energy calculated based on the density functional theory. A 9,10‐dihydroanthracene was shown, by the highest soldering efficiency and sufficient reliability in the environmental testing, to be applicable as an ion‐free soldering flux.Originality/v.
Myrosinase and cysteine in Theobroma cacao L. defense mechanism against Phytophthora megakarya

Develop T. cacao hybrid genotypes tolerant to P. megakarya is the way out to improve cocoa production and profitability in cocoa producing countries. Hence, the analysis of susceptibility to P. megakarya of the progeny ♀SNK64x♂UPA143 was conducted for the first time. Additionally, cysteine content and myrosinase activity were analyzed in healthy, wounded and wounded_infected leaves in other to bring out the implication of cysteine and myrosinase in T. cacao defense against P. megakarya. The screening for susceptibility to P. megakarya of the progeny ♀SNK64x♂UPA143 has revealed that, more than 58 % of the progeny ♀SNK64x♂UPA143 displayed negative Mid-Parent Heterosis (MPH) and around 79 % were less sensitive to black pod disease than the most sensitive parent UPA143. This set of results indicates that the progeny ♀SNK64x♂UPA143 might be recommended for development of T. cacao hybrid genotypes tolerant or less sensitive to black pod disease. Cysteine content in healthy leaves significantly decrease in wounded leaves. The decrease in cysteine content was amplified when wounded leaves were infected. Myrosinase activity presented reverse pattern compared to cysteine profile in healthy, wounded and wounded_infected leaves. This finding might indicate that, during the abiotic or biotic stress, cysteine might be used for the synthesis of glucosinate. And the synthesized glucosinolate might be hydrolyzed by myrosinase to International Journal of Scientific & Engineering Research, Volume 8, Issue 1, January-2017 ISSN 2229-5518 IJSER © 2017 http://www.ijser. org IJSER
Amalgamation of Machine Learning and Slice-by-Slice Registration of MRI for Early Prognosis of Cognitive Decline

Brain atrophy is the degradation of brain cells and tissues to the extent that it is clearly indicative during Mini-Mental State Exam test and other psychological analysis. It is an alarming state of the human brain that progressively results in Alzheimer disease which is not curable. But timely detection of brain atrophy can help millions of people before they reach the state of Alzheimer. In this study we analyzed the longitudinal structural MRI of older adults in the age group of 42 to 96 of OASIS 3 Open Access Database. The nth slice of one subject does not match with the nth slice of another subject because the head position under the magnetic field is not synchronized. As a radiologist analyzes the MRI image data slice wise so our system also compares the MRI images slice wise, we deduced a method of slice by slice registration by driving mid slice location in each MRI image so that slices from different MRI images can be compared with least error. Machine learning is the technique which helps to exploit the information available in abundance of data and it can detect patterns in data which can give indication and detection of particular events and states. Each slice of MRI analyzed using simple statistical determinants and Gray level Co-Occurrence Matrix based statistical texture features from whole brain MRI images. The study explored varied classifiers Support Vector Machine, Random Forest, K-nearest neighbor, Naive Bayes, AdaBoost and Bagging Classifier methods to predict how normal brain atrophy differs from brain atrophy causing cognitive impairment. Different hyper parameters of classifiers tuned to get the best results. The study indicates Support Vector Machine and AdaBoost the most promising classifier to be used for automatic medical image analysis and early detection of brain diseases. The AdaBoost gives accuracy of 96.76% with specificity 95.87% and sensitivity 87.37% and receiving operating curve accuracy 96.3%. The SVM gives accuracy of 96% with 92% specificity and 87% sensitivity and receiving operating curve accuracy 95.05%.
Immigration of the genus Macrocephalites Spath and the Bathonian biostratigraphy of the Kachchh basin (Western India, South Tethys)

The Bathonian occurrences of Indonesian Macrocephalites from the Kachchh basin (Western India) (and correspondingly the immigration of the genus into the basin) is evaluated in context of improved biostratigraphy and new ammonite data vis-a-vis European and Submediterranean records. The Indonesian Middle Bathonian macrocephalitids [Macrocephalites bifurcatus transient intermedius (Spath) (M), M. bifurcatus transient cf. intermedius (Spath) (M), M. bifurcatus transient aff. bifurcatus Boehm (m) and M. cf. etheridgei Spath (m)], have largely been recorded from a single dome, Jumara (from the basal Yellow bed, bed A4), with additional singular occurrences of M. cf. etheridgei Spath (m) from the adjoining Nara and Jhura domes (Kachchh). In Jumara, the Indonesian macrocephalitids are associated with Micromphalites (Clydomphalites) clydocromphalus Arkell (M), Procerites (Gracilisphinctes) arkelli Collignon (M), P. (G.) intermedius Jain (m), P. hians (Waagen) (M), Wagnericeras sp. (m), Parapatoceras distans (Baugier and Sauze) (M), Sivajiceras congener (Waagen) (M and m), Macrocephalites triangularis Spath (M and m), Epimorphoceras decorum (Waagen) (M), and Reineckeia sp. A and B (M). This fauna is correlated with the European early Middle Bathonian Progracilis Zone. Both Jumara and the adjoining Jara domes have also yielded characteristic Indonesian Late Bathonian macrocephalitids – M. cf. keeuwensis Boehm (M and m), M. keeuwensis var. aff. forma flexuosa Boehm (m) and M. cf. mantataranus Boehm (M). In light of improved high–resolution stratigraphy, the Kachchh Bathonian fauna is evaluated and an improved biostratigraphy of the basin is proposed.
SENSING RYDBERG AUTOIONIZATION RESONANCES IN SPECTRUM OF YTTERBIUM : NEW SPECTRAL DATA AND EFFECTS

We applied a generalized energy approach (Gell-Mann and Low S-matrix formalism) combined with the relativistic multi-quasiparticle (QP) perturbation theory (PT) with the DiracKohn-Sham zeroth approximation to studying autoionization resonances (AR) in complex atoms, in particular, energies and widths for the ytterbium in Rydberg states. The unusual features of the Rydberg autoionization resonances in ytterbium can be effectively used in new types of the quantum sensors.
Physicochemical Characterization of Jatropha podagrica Seed Oil for Potential Biodiesel Production and other Industrial Applications in Thailand

Jatropha is considered as one of the most promising potential oil sources for biodiesel production and other industrial applications. However, research on the potential of Jatropha seed oil is mainly focused on Jatropha curcas, with other species receiving little attention. The physicochemical properties of J. podagrica seed oil was studied to determine its potential as feedstock for biodiesel production and other industrial applications in Thailand. The seed oil was extracted with n-hexane from milled kernels using the soxhlet extractor and subsequently characterised for free fatty acids, iodine value, viscosity, saponification value, density, and acid value. The fatty acid profile of the seed oil was also analysed using gas chromatography (GC). Analysis of the physical properties of the J. podagrica seed kernel showed lower average physical characteristics when compared to those of J. curcas seed kernel. J. podagrica seeds had high oil content comparable to J. curcas oil content. The main fatty acid components of the seed oil were oleic acid (15%) and linoleic acid (70%). Generally, the results of the physicochemical analysis indicated that J. podagrica seed oil would be very useful for the production of soap and shampoo in Thailand. To produce biodiesel from the seed oil, a two-step acid-catalysed transesterification process would be appropriate.
Running head: NO RAPPORT, NO COMMENT

There are few studies that have focused on systematically measuring indicators of rapport during police investigative interviews. Using Tickle-Degnen and Rosenthal’s (1990) model as the basis for a systematic measurement of rapport, this study examined police interviews to identify whether rapport with suspects influences investigation relevant information (IRI). Eighty-two interview transcripts with male suspects accused of child internet sex offences were coded across three rapport components: attention, positivity, and coordination. Attention and coordination were the most frequently used and both positively correlated with the production of information. Positivity did not significantly correlate with IRI. The interviews were broken down into three different stages to examine the relationship between the rapport indicators and IRI across the interviews. Attention related to IRI throughout the entire interview, coordination during the middle and end, and positivity did not relate to IRI for any of the time points. This study offers a methodology for measuring rapport during real life interviews and implications for interviewing and training are discussed.
High precision saturation spectroscopy of 127I2 with argon lasers at 5 145 Å and 5 017 Å : I — Main resonances

2014 We present results on the hyperfine spectroscopy of 127I2 obtained with argon lasers. We describe our saturated absorption or dispersion spectrometer and we discuss the pressure dependence of the saturation line shapes. At 5 145 Å we have measured the frequency differences between the main resonances of the 43-0 P(13) and R(15) hyperfine manifolds with a 200 Hz standard deviation and obtained a theoretical fit with a standard deviation of the order of 1.5 kHz. The two sets of hyperfine constants for P(13), and R(15) are consistent. The results of Foth and Spieweck are confirmed for the 58-1 R(98) line at 5 145 Å and we make a first determination of the constants d’ and 03B4’ of the 62-0 R(26) line at 5 017 Å. The variation of these constants near the dissociation limit is interpreted as a demonstration of a mixing of u and g states. The stability of argon lasers slaved to iodine peaks is illustrated and their metrological applications are outlined. J. Physique 42 ( 1981 ) 1393-1411 1 OCTOBRE 1981,
A new approximate analytical method and its convergence for nonlinear time-fractional partial differential equations

The main goal of this paper is to present a new approximate analytical method called modified generalized Taylor fractional series method (MGTFSM) for solving general nonlinear time- fractional partial differential equations. The fractional derivative is considered in the Caputo sense. We establish the convergence results of the proposed method. The basic idea of the MGTFSM is to construct the solution in the form of infinite series which converges rapidly to the exact solution of the given problem. The main advantage of the proposed method compare to current methods is that method solves the nonlinear problems without using linearization, discretization, perturbation or any other restriction. The efficiency and accuracy of the MGTFSM is tested by means of different numerical examples. The results prove that the proposed method is very effective and simple for solving the nonlinear fractional problems.
CLASSROOM ACOUSTICS: INVESTIGATING CHILDREN PERCEPTION BEYOND TASK PERFORMANCE

Classroom acoustics has been a topic of research for decades and still attracts the interest of scientists because of the many aspects that are involved, which range from listener-centered issues such as cognitive proficiency to the acoustical design of the room and also to the speaker’s voice alterations in noisy conditions. Prof. Murray Hodgson has been a key person in the field and his findings have inspired many others that followed, including the present authors. In this work it is firstly discussed that the objective acoustical indicators whose provision warrants suitable speech intelligibility in the classroom are not able to disentangle listening conditions which are perceived and rated differently by the listeners. For this reason an additional assessment has been developed based on the audiologically–oriented concept of “listening effort”. The method is implemented by means of one of the proxy measures of listening effort that is the response time to the auditory stimulus. The present work reviews the main results obtained when the approach was applied to several problems related to classroom acoustics.
Some remarkS on flat graveS of the SoutheaStern group of the funnel Beaker Culture

Oberc T. 2020. Some remarks on flat graves of the southeastern group of the Funnel Beaker Culture. Sprawozda-nia Archeologiczne 72/1, 115-146. Flat graves of the southeastern group of the Funnel Beaker Culture (FBC SE) are a phenomenon underrepre - sented in archaeological studies of the Eneolithic. Researchers’ focus on “the megalithic idea” in recent decades left other forms of burial largely unexplored. In fact, it seems that even 70% of graves of the FBC SE could be described as part of the latter group. In this study, some comments on the location of flat graves within ceme-teries, the construction and orientation of graves, as well some insights about the buried population will be provided. This research is based on a sample collected from previously published studies from most of the known geographical range of the FBC SE. As will be shown, the problem of flat graves is a complex one, which should be considered in the context of the entirety of FBC SE funerary practices.
The Informativeness of Text, the Deep Learning Approach *

This paper uses a deep learning natural language processing approach (Google’s Bidirectional Encoder Representations from Transformers, hereafter BERT) to comprehensively summarize financial texts and examine their informativeness. First, we compare BERT’s effectiveness in sentiment classification in financial texts with that of a finance specific dictionary, the naïve Bayes, and Word2Vec, a shallow machine learning approach. We find that first, BERT outperforms all other approaches, and second, pre-training BERT with financial texts further improves its performance. Using BERT, we show that conference call texts provide information to investors and that other less accurate approaches underestimate the economic significance of textual informativeness by at least 25%. Last, textual sentiments summarized by BERT can predict future earnings and capital expenditure, after controlling for financial statement based determinants commonly used in finance and accounting research.
ProbIotIC ProPErtIEs of straIns of LACTOBACILLUS PLANTARUM IsolatEd from fErmEntEd ProduCts

Aim. To study probiotic properties of the strains Lactobacillus рlantarum, isolated from the national fermented foods of plant and animal origin of different regions of Ukraine. Methods. The ability of strains L. plantarum to adhere was studied on the cells of human buccal epithelium. The ability to filmformation of strains L. plantarum was studied in plastic plates. We investigated the survival of L. plantarum in the conditions of the gastrointestinal tract: resistance to lysozyme, gastric juices and bile salts. Result. Probiotic properties of 24 strains L. рlantarum has been studied. These strains have a wide range of antagonistic action on opportunistic microorganisms used and proved to be sensitive to the clinically important antibiotics. Index adhesion of the lactobacilli ranged from 3.63 ± 0.38 to 30.11 ± 1.47 and didn`t depend on the source of strains isolation. Most of the studied strains (79%) had the average ability to form biofilms. Gastric juice was one of the most aggressive factors of the gastrointestinal tract, in its action, growth had 42% of the studied strains. L. plantarum resistant to lysozyme and to 0.3% bile salts have been determined. Conclusions. The probiotic properties of 24 strains of L. plantarum were investigated and analyzed. Selected two strains of L. plantarum 1047s and L. plantarum 691ch, which may be promising for use in oral probiotic preparations.
Influence Relations Among Institutional Investors, Accounting Information Quality and Financing Constraints

This thesis, adopting Cash-Cash Flow Sensitivity model, based on listed companies in Shanghai and Shenzhen A stock market from 2013 to 2018, makes a study on the effect made by institutional investors on accounting information quality and financing constraints. The results show that: (1) If the shareholding of INR is high, the accounting information quality will be better while the shareholding of INS makes few influences on accounting information quality; (2) The improvement of accounting information quality can help ease the problem of financing constraints; (3) INR cannot obviously improve the easing effect of accounting information quality on financing constraints while INS can obviously lower the easing effect of accounting information quality on financing constraints.