Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular detection on a defective MoS2 monolayer by simultaneous conductance and force simulations

Based on simultaneous force and conductance simulations, a proof of concept for a potential method of molecular detection is presented. Using density functional theory calculations, a metallic tip has been approached to different small inorganic molecules such as CO, CO$_2$ , H$_2$O, NO, N$_2$ , or O$_2$. The molecules have been previously chemisorbed on a defect formed by two Mo atoms occupying a S divacancy on a MoS 2 monolayer where they are strongly bonded to the topmost substitutional molybdenum. At that site, the fixed molecules can be imaged by a conductive atomic-force-microscopy tip. Due to the differences in atomic composition and electronic configurations, each molecule yields specific conductance/force curves during the tip approach. A molecule-tip contact is established at the force minimum, followed by the formation of a characteristic plateau in the conductance in most of the cases. Focusing our attention on the position and values of such force minimum and conductance maximum, we can conclude that both characteristic properties can give a clear signature of each molecule, proposing a different method of detecting molecules adsorbed on highly reactive sites.
COHESIVE DEVICES USED IN SOME SELECTED ARTICLES INJOURNAL OF LANGUAGE AND CULTURAL EDUCATION

Siti Fatmahwati. 14121310356. Cohesive Devices Used In Some Selected Articles in Journal of Language and Cultural Education In this paper, researcher had been investigating about cohesive devices used in journal of language and cultural education. In cohesion, there are five cohesive devices, namely conjunction, references, substitution, ellipsis, and lexical cohesion. This research has two purpose, there are 1) To describe the use of cohesive devices in the journal of language and cultural education. 2) To identify the calculation result of cohesive devices which frequently used by the author. Here, researcher had been choosing three articles in JoLaCE that is published since the year 2013 to 2015. The first article is entitled “Applied Linguistics Research of Bilingualism and its Incentives for Foreign Language Pedagogy” Journal of Language and Cultural Education (2013), 1.1. The second article is entitled ―Code-switching as a Foundation for Including Multilingualism in English as a Foreign Language Education‖ Journal of Language and Cultural Education, 2(3). The third article is entitled “The benefits and pitfalls of a multicultural teaching faculty and a monocultural student population: An interpretive analysis of tertiary teachers’ and students’ perceptions in the United Arab Emirates” from Journal of Language and Cultural Education, 2015, 3(3). From the result of analyzing, cohesive device are used in journal of language and cultural education is conjunction. In conjunction, there is "and" most frequently appear in the third article above. The position of conjunction above is ―and‖ included to the additive conjunction. Then, the total results of the third articles that have already been investigated that are 3.705 times. Here, researcher had been giving sequence of cohesive device that frequently used by the author from the bigger to lower. The first sequence of cohesive device that frequently used by the author is “references”. The calculation result of references are (1.410) times. The second sequence of cohesive devices which frequently used by the author is “ellipsis”. The calculation result of ellipsis are (1.232) times. Then, the third sequence of cohesive device that frequently used by the author is iii “conjunction”. The overall calculation of conjunction are (862) times. The next cohesive device that often used by the author is “substitution”. The calculation result of substitution is (189) times. The last cohesive device that frequently used by the author is lexical cohesion. The total result of lexical cohesion is (60) times. So, cohesive device that frequently used by the author is “references”. Keywords: Cohesion, Cohesive Devices, Conjunction, References, Ellipsis, Substitution, and Lexical cohesion
Wireless Networked - Monitoring and Control of Pressure Process Analyser

Wireless Network Control System (WNCS) has received c onsiderable attention with advances in control and communication technologies. This paper presents the stability ana lysis of real time PI controller design and Smith P redictor control strategy for the compensation of assumed delay in the plant. Mathematical modelling of the plant is obtained an d the parameter estimation of the traditional controller design is obtained by IMC tuning relationship which is a compr ehensive model-based design method. Real time laboratory test demonstrate th mobile based wireless control of the plant wi th the help of the application Data Dashboard for LabVIEW that enables the creation of custom user interface that can mon itor and control LabVIEW applications remotely. Comparative chart for the performance of the plant with and without wire less network for the various control designs is also made.
Penerapan Metode Sampling Audit dan Faktor-faktor yang Mempengaruhi Penggunaan Metode Sampling Audit oleh Auditor Bi di Yogyakarta

To obtain the adequate evidence, auditor does not have to test all existing transaction. Along of cost benefit consideration, it is impossible for auditor to test all transaction evidence. Based on this consideration; then in profession recognized widely that most evidence obtained using sampling. The limited audit sampling research motivated the writer to conduct this research. This research is a development from previous researches by Hall of et al. (2002) and Zarkasyi (1992). Researcher take auditor (BI) as research subjects because sampling problems in audit differ from the practice make an audit of the private sector (Arkin, 1982). The purpose of this research is portraying how sampling audit practice in BI and explore factors affecting the use of sampling method by auditors. The responses from 122 respondents show 70.5% respondents did not use the statistical sampling method. In nonstatistics sample selection method, two techniques which less get the support empirically namely haphazard and block sampling, in the second (32,6%) and third rank (11,6%). There is indication of selection bias mostly in the size measure and location. Most respondents (76,25%) answered that they did not get formal training in avoiding selection bias. But that way only 36,9% respondents replied they did not use the procedures to mitigate the selection bias. There are four factors which hypothesized affecting the method used in audit sampling. These factors are auditor perception to statistical sampling method, auditor perception to perceived audit risk, time pressure and experience. Result from logit regression test indicated that among four factors hypothesized, only perception factor to statistical sampling method is significantly influent to the method used in audit sampling. Keywords: Sampling Audit, Governmental Auditor, Selection Bias.
Genome-wide association study of appendicular lean mass in UK Biobank cohort

Lean body mass (LBM), an important physiological measure, has a strong genetic determination. To clarify its genetic basis, a large-scale genome-wide association study (GWAS) of appendicular lean mass (ALM) was conducted in 450,580 UK Biobank subjects. A total of 717 variants (p<5×10−9) from 561 loci were identified, which were replicated across genders (achieving p<5×10−5 in both genders). The identified variants explained ~11% phenotypic variance, accounting for one quarter of the total ~40% GWAS-attributable heritability. The identified variants were enriched in gene sets related to musculoskeletal and connective tissue development. Of interest are several genes, including ADAMTS3, PAM, SMAD3 and MEF2C, that either contain multiple significant variants or serve as the hub genes of the associated gene sets. Polygenic score prediction based on the associated variants was able to distinguish subjects of high from low ALM. Overall, our results offered significant findings on the genetic basis of lean mass through an extraordinarily large sample GWAS. The findings are important to not only lean mass per se but also other complex diseases, such as type 2 diabetes and fracture, as our Mendelian randomization analysis showed that ALM is a protective factor for these two diseases.
Understanding and Measuring User Experience in Conversational Interfaces

Although various methods have been developed to evaluate conversational interfaces, there has been a lack of methods specifically focusing on evaluating user experience. This paper reviews the understandings of user experience (UX) in conversational interfaces literature and examines the six questionnaires commonly used for evaluating conversational systems in order to assess the potential suitability of these questionnaires to measure different UX dimensions in that context. The method to examine the questionnaires involved developing an assessment framework for main UX dimensions with relevant attributes and coding the items in the questionnaires according to the framework. The results show that (i) the understandings of UX notably differed in literature; (ii) four questionnaires included assessment items, in varying extents, to measure hedonic, aesthetic and pragmatic dimensions of UX; (iii) while the dimension of affect was covered by two questionnaires, playfulness, motivation, and frustration dimensions were covered by one questionnaire only. The largest coverage of UX dimensions has been provided by the Subjective Assessment of Speech System Interfaces (SASSI). We recommend using multiple questionnaires to obtain a more complete measurement of user experience or improve the assessment of a particular UX dimension. Varying understandings of UX in conversational interfaces literature. A UX assessment framework with UX dimensions and their relevant attributes. Descriptions of the six main questionnaires for evaluating conversational interfaces. A comparison of the six questionnaires based on their coverage of UX dimensions.
AIMC 2018 Asia International Multidisciplinary Conference SYSTEMATIC MAPPING STUDY PROTOCOL FOR SECURE SOFTWARE ENGINEERING

In today's world, software security has become essential for protecting the overall organization's operations. Mostly software development companies are adopting various strategies to build secure software to cope with the challenges of the client organization. Information become threatened due to connection with the cyber world, and it requires better security mechanisms. Software development organizations are receiving pressure from their clients to focus on the enhancement of security during the whole software development life cycle (SDLC). This protocol aims to review the literature in a systematic way to identify the state-of-the-art of software security to be considered by Global Software Development (GSD) vendor organizations during the development of a secure software as it evolves from requirements engineering to its final disposal. In order to improve security processes in the context of software development, our current research developed a Systematic Mapping Study (SMS) protocol. Presently, we are in the implementation phase of the protocol for the development of secure software. The expected outcomes of this SMS will be a list of security measurements and their solutions to be incorporated by GSD vendor organizations in each phase of the SDLC. This
Technical Report Column

In this work we study the quantitative relation between VC-dimension and two other basic parameters related to learning and teaching. Namely, the quality of sample compression schemes and of teaching sets for classes of low VC-dimension. Let $C$ be a binary concept class of size $m$ and VC-dimension $d$. Prior to this work, the best known upper bounds for both parameters were $\log(m)$, while the best lower bounds are linear in $d$. We present significantly better upper bounds on both as follows. Set $k = O(d 2^d \log \log |C|)$. We show that there always exists a concept $c$ in $C$ with a teaching set (i.e. a list of $c$-labeled examples uniquely identifying $c$ in $C$) of size $k$. This problem was studied by Kuhlmann (1999). Our construction implies that the recursive teaching (RT) dimension of $C$ is at most $k$ as well. The RT-dimension was suggested by Zilles et al. and Doliwa et al. (2010). The same notion (under the name partial-ID width) was independently studied by Wigderson and Yehudayoff (2013). An upper bound on this parameter that depends only on $d$ is known just for the very simple case $d=1$, and is open even for $d=2$. We also make small progress towards this seemingly modest goal. We further construct sample compression schemes of size $k$ for $C$, with additional information of $k \log(k)$ bits. Roughly speaking, given any list of $C$-labelled examples of arbitrary length, we can retain only $k$ labeled examples in a way that allows to recover the labels of all others examples in the list, using additional $k\log (k)$ information bits. This problem was first suggested by Littlestone and Warmuth (1986).
Correction of Phase Errors in a Spin-Wave Transmission Line by Nonadiabatic Parametric Pumping

It is shown that phase errors in a microwave spin wave transmission line can be corrected by subjecting the signal-carrying propagating spin wave to the action of a localized nonadiabatic parametric pumping, having the localization length smaller than the spin wave wavelength. In such a transmission line the phase transmission characteristic has a “step-like” shape containing ﬂat “stabilization plateaus” separated by the intervals of the π -size. Within the “plateau” regions the phase of the output spin wave is practically constant in a rather wide range of phases of the input spin wave. This eﬀect can be used in magnonic logic devices for the correction of phase errors of up to ± 0 . 25 π . It is also proved, that this phase stabilization eﬀect is stable against the variations of the spin wave amplitude, and is present in all the amplitude range of the stable spin wave propagation.
The impact of using GeoGebra interactive applets on conceptual and procedural knowledge

This work deals with the impact of using digital textbooks consisting of GeoGebra interactive applets on students' conceptual and procedural knowledge in mathematics. The authors propose the model of computer-guided discovery learning by using dynamic geometry software which includes three basic elements: learning objects, tasks for students and learning outcomes. The model is primary based on the theory of constructivism, Pólya’s heuristic strategy and Schoenfeld’s problem-solving model. The experimental research plan with experimental and control groups was used and there were 703 students in twelve elementary schools in Croatia participating in the research. The experimental group of students was taught by the model of computer-guided discovery learning and the control group of students was taught by teachers using traditional teaching methods. The covariance analysis determined the impact of the model of computer-guided discovery learning on students' conceptual and procedural knowledge and the results have shown statistically significant differences between the groups in favor of the experimental group. The qualitative and quantitative analysis of students' and teachers' questionnaires and forum discussions was used to assess their attitudes towards the proposed learning model. The importance of teachers’ experience in teaching using this model has also been noted. This learning model indicates the potential of computers and dynamic geometry software GeoGebra for scaffolding support in learning mathematics.
A Stage Transition Model for Korean Part-of-Speech and Homograph Tagging

A Korean semantic processing system must analyze morpheme and disambiguate the POS and homograph for words. The recent researches proposed machine learning model using corpus, and focused on resolving the data sparseness problem. This paper proposes a method of simultaneous tagging for the POS and homograph using machine learning of corpus. The proposed method uses stage transition model for resolving the data sparseness problem, and applies different weight to each transition model. The tagging system includes exception routine that calculates minimum transition score in the case of no transition between words. For the experiment we used the 10 million words Sejong corpus and learned 90% of the Sejong corpus and tested 10%. The experiments shows that the accuracy is 96.44% for the POS and homograph tagging and 98.0% for the only POS tagging. From the experiment, the proposed stage transition model is adequate for tagging POS and homograph of agglutinative language like Korean.
Influence of Cotton (Gossypium hirsutum) Densities on Competitiveness of Pigweed (Amaranthus spp.) and Sicklepod (Cassia obtusifolia)

Experiments were conducted from 1973 through 1975 on Lucedale sandy loam to determine the influence of in-row cotton (Gossypium hirsutum L. ‘Stoneville 213’) densities on the competitiveness of low-level infestations of sicklepod (Cassia obtusifolia L.) and pigweed (Amaranthus spp.). Weeds were established at densities of 0, 4, 12, and 32 weeds per 15 m of row and allowed to compete the entire season with cotton grown at densities of 5, 10, or 20 plants/m of row corresponding to 47000, 94000 and 187000 cotton plants/ha. Conventional cultural practices were employed in these experiments. Cotton yields were inversely related to weed density; however, the density of cotton did not influence the competitive effect of sicklepod or pigweed. Pigweed or sicklepod dry weed weight was reduced when competing with 187000 cotton plants/ha.
Application of roller burnishing technologies to improve the wear resistance of submerged pump parts made of powder alloys

This paper presents experimental studies of the influence of surface plastic deformation (SPD) (roller burnishing) on the properties of the surface layer of a part “guide apparatus” of the centrifugal submersible pump for oil production. The parts made of composite powder alloys based on the iron-copper system were taken as an object of researches. The microstructure of the surface layer of the samples, surface roughness, microhardness, and hardness were studied. Testing of the samples for the surface layer resistance to abrasive wear according to the Calotest method showed a decrease in the wear intensity by 1.5–1.6 times in comparison to samples without SPD.
FBG Water-Level Transducer Based on PVC-Cantilever and Rubber-Diaphragm Structure

The use of FBG sensors in water level monitoring has shown great advantages over the use of conventional electrical sensors. However, much effort is still required to increase their sensitivity towards water level measurement with eliminated sensitivity towards temperature. Here, the FBG was bonded on a PVC polymer plastic cantilever beam and rubber diaphragm structure. The sensing mechanism was based on the differential FBG method. Variations of the water level from 0 to 100 cm obtained the sensitivity of 0.0639 nm/cm with the linearity of 98.06%. The poor linearity was mainly due to the manual fabrication errors. However, this uncertainty can be overcome through the polynomial regression fit in determining the water level measurement. The measured water level was closed to the actual water level at a tolerance of ±2 cm. For temperature effects, the sensitivity was inconspicuous, recorded at only 0.0003 nm/°C across the range of 10 °C to 60 °C.
Genome-Wide Characterization of AspATs in Populus: Gene Expression Variation and Enzyme Activities in Response to Nitrogen Perturbations

Aspartate aminotransferase (AspAT) catalyzes a reversible transamination reaction between glutamate and oxaloacetate to yield aspartate and 2-oxoglutarate, exerting a primary role in amino acid biosynthesis and homeostasis of nitrogen (N) and carbon metabolism within all cellular organisms. While progress in biochemical characterization of AspAT has been made for decades, the molecular and physiological characteristics of different members of the AspAT gene family remain poorly known particularly in forest trees. Here, extensive genome-wide survey of AspAT encoding genes was implemented in black cottonwood (Populus trichocarpa Torr. & A. Gray), a model species of woody plants. Thorough inspection of the phylogenies, gene structures, chromosomal distribution, cis-elements, conserved motifs, and subcellular targeting resulted in the identification of 10 AspAT isogenes (PtAspAT1-10) in the Populus genome. RNA-seq along with quantitative real-time polymerase chain reaction (qRT-PCR) validation revealed that PtAspATs displayed diverse patterns of tissue-specific expression. Spatiotemporal expressions of homologous AspATs in the poplar hybrid clone ‘Nanlin895’ were further evaluated, showing that gene expressions varied depending on source-sink dynamics. The impact on AspAT transcripts upon N starvation and seasonal senescence showed the upregulation of five AspAT in leaves concurrent with drastic downregulation of six or more AspATs in roots. Additionally, marked reductions of many more AspATs transcripts were observed in roots upon N excess. Accordingly, AspAT activities were significantly suppressed upon N starvation by an in-gel assay, prompting the argument that enzyme activity was a more direct indicator of the growth morphology under a N stress regime. Taken together, the expression profiling and enzyme activities upon stress cues provide a theoretical basis for unraveling the physiological significance of specific gene(s) in regulation of N acquisition and remobilization in woody plants.
Medicine

Course of the fibres of taste. With regard to the vexed question as to the course of the taste-fibres, Morriston Davies, in a very valuable paper on the " Functions of the Trigeminal Nerve," based partly on experimental evidence, and partly on the material afforded by fifty cases in which the Gasserian ganglion had been removed,1 brings forward the following evidence. The difference of opinion is chiefly as to the connection between the
Maximum Power Point Tracking Strategy for Large-Scale Wind Generation Systems Considering Wind Turbine Dynamics

Under the global trend of renewable energy development, various advanced techniques such as forecasting algorithm, intelligent computation, and optimal control are expected to make the complex and uncertain renewable energy system stable and profitable in the near future. This paper presents a new control strategy for large-scale wind energy conversion systems to achieve a balance between power output maximization and operating cost minimization. First, an intelligent maximum power point tracking (IMPPT) algorithm is proposed such that short-term wind speed prediction, wind turbine dynamics, and MPPT are collectively considered to improve system efficiency. Second, in view of a spatial and temporal distribution of wind speed disturbances, a box uncertainty set is embedded in the forecast wind speed, which is likely more realistic for practicing engineers. Then, the IMPPT and box uncertainties are applied to the wind energy conversion system (WECS) control strategy, which is formulated as a min-max optimization problem and efficiently solved with semi-definite programming (SDP). Finally, a comparison with the conventional MPPT control method demonstrates that the proposed approach can obtain higher efficiency, which validates this paper.