Miracle-dz/UniFAR-FTUs huggingface dataset:
INFLUENCE OF OPTIMUM FLY ASH CONTENT ON COMPRESSIVE STRENGTH AND POROSITY OF CONCRETE

In this study, the effect of optimum fly ash addition on porosity and compressive strength of concrete is investigated. A factorial analysis approach is applied to find out the main influencing factors on the chosen properties. In the analysis, three input factors were used, such as total binder content, water/binder ratio and fly ash/binder ratio as independent variables. The compressive strength and mercury intrusion porosimetry (MIP) tests were conducted on the specimens at the age of 90 days. Test results were analyzed and evaluated by using ANOVA (Analysis of Variance). Statistical models are derived for each measured concrete property in two curing conditions (in air and in water) by means of three independent components of concrete. Influence of selected mixture parameters on concrete properties was evaluated by using the test results. Various optimum fly ash contents were determined for each concrete property according to the derived models and discussed thoroughly.
PROBI G PLASTICITY MECHANIS S IN LOW MELTING TEMPERATURE ET LLIC N NOSTRUCTURES USING SYNCHROTRON X-RAY MICRODIFFR CTION

A nondestructive ex situ Synchrotron Laue X-ray Microdiffraction (μSLXRD) technique is used to investigate the plasticity mechanisms in the metallic nanostructures and their evolution at high homologous temperatures through analyzing low melting temperature metals such as tin. Without the use of expensive high temperature equipment, the current approach of studying plasticity mechanisms at high temperature is enabled by the low melting behaviors of the samples allowing them to provide insights on high temperature deformation mechanisms, such as thermally activated dislocation climbs. Nanopillars with a diameter near 1μm were deformed by uniaxial compression to strains of in excess of 20% at a strain rate of approximately 0.001s-1. Defect density evolution in the nanopillars was evaluated by synchrotron Laue X-ray microdiffraction (μSLXRD) before and after deformation (ex situ). It was found from the Laue peak broadening measurements that there was no significant change in the dislocation density of the same pillar before and after such an extent of deformation. These findings were being compared to similar experimental results of indium and gold nanopillars (from our previous reports). They were found to be in stark contrast to our previous results with indium (although both are low melting temperature metals) where the synchrotron Laue X-ray microdiffraction showed significant peak broadening – before vs. after the uniaxial compression to a similar amount of deformation. It appears high temperature plasticity mechanism in tin nanostructures involves significant lattice diffusion behavior, as opposed to simple displactive behavior (through dislocation movements) that has been proposed in recent studies of tin nanostructures.
Automatic Generation of Sequence-Style Notes from Live Lecture

Speech recognition software (speech-to-text) accuracy is improving at a fast pace, thus making possible a diver se range of new applications. The Liberated Learning Initiative has demonstrated that automatic speech recognition softwa re provides the potential of making instruction more applicable to students, particularly for deaf students who can follow thelecture without the distraction of an interpreter. In this initiati ve, speech recognition software is used as a tool to help students with v arying learning processes. The research-tested Interactive Learning Model asserts th at individuals process information using a combination of four learning patterns. Ongoing research has shown that the majo rity of computer science and engineering students use Sequence as a primary learning pattern. In this paper we present a novel speech-to-text-to-sequence method for supporting l earners who seek Sequential instruction. Our method encourages act ive learning as students can focus on the content and context of the instruction with the understanding that class-notesare automatically being generated for their use.
Assessment of the DNA Quality in Mushroom Specimens : Effect of Drying Temperature

It is generally believed that drying temperature is critical for preserving high quality DNA in biological specimens. Fruit bodies of mushrooms are therefore dried at low temperature, e.g., lower than 60°C. In this study, we assessed the DNA quality in mushroom specimens by using different drying temperatures (35, 52, and 71°C). The quality of DNA was assessed based on gel electrophoresis with whole genomes as well as PCR products from multiple loci. Based on the experiment using a total of seven phylogenetically distantly related species of mushrooms, we conclude that drying temperature does not significantly affect the DNA quality for subsequent studies (PCR, sequencing, etc.). Further studies are necessary to investigate presently unrepresented samples, such as big fleshy mushrooms (e.g., boletes, or Boletales) and gasteromycetes (puffballs, stinkhorns, etc.).
' s personal copy A spatially distributed flash flood forecasting model

This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model structure defined at the model element scale and multi-source model identification. The model represents runoff generation on a grid basis and lumped routing in the river reaches. Ensemble Kalman Filtering is used to update the model states (grid soil moisture) based on observed runoff. The forecast errors as a function of forecast lead time are evaluated for a number of major events in the 622 km Kamp catchment and range from 10% to 30% for 4e24 h lead times, respectively. 2007 Elsevier Ltd. All rights reserved.
Wireless Surface Electromyography and Skin Temperature Sensors for Biofeedback Treatment of Headache: Validation Study with Stationary Control Equipment

Background: The use of wearables and mobile phone apps in medicine is gaining attention. Biofeedback has the potential to exploit the recent advances in mobile health (mHealth) for the treatment of headaches. Objectives: The aim of this study was to assess the validity of selected wireless wearable health monitoring sensors (WHMS) for measuring surface electromyography (SEMG) and peripheral skin temperature in combination with a mobile phone app. This proof of concept will form the basis for developing innovative mHealth delivery of biofeedback treatment among young persons with primary headache. Methods: Sensors fulfilling the following predefined criteria were identified: wireless, small size, low weight, low cost, and simple to use. These sensors were connected to an app and used by 20 healthy volunteers. Validity was assessed through the agreement with simultaneous control measurements made with stationary neurophysiological equipment. The main variables were (1) trapezius muscle tension during different degrees of voluntary contraction and (2) voluntary increase in finger temperature. Data were statistically analyzed using Bland-Altman plots, intraclass correlation coefficient (ICC), and concordance correlation coefficient (CCC). Results: The app was programmed to receive data from the wireless sensors, process them, and feed them back to the user through a simple interface. Excellent agreement was found for the temperature sensor regarding increase in temperature (CCC .90; 95% CI 0.83-0.97). Excellent to fair agreement was found for the SEMG sensor. The ICC for the average of 3 repetitions during 4 different target levels ranged from . 58 to . 81. The wireless sensor showed consistency in muscle tension change during moderate muscle activity. Electrocardiography artifacts were avoided through right-sided use of the SEMG sensors. Participants evaluated the setup as usable and tolerable. Conclusions: This study confirmed the validity of wireless WHMS connected to a mobile phone for monitoring neurophysiological parameters of relevance for biofeedback therapy. [JMIR Biomed Eng 2018;3(1):e1]
PERBANDINGAN N-GRAM TECHNIQUE DAN RABIN KARP PADA APLIKASI PENDETEKSI PLAGIARISME DOKUMEN TEKS BAHASA INDONESIA

Plagiarism is copying or take over a works, paper and so on from other people who seemed to be claimed as his own work. Plagiarism detection can be done by matching the test document and source document. Detection process has few steps, which is preprocessing step, TF-IDF weighting step, and document similiarity detection process. Detection process is done with N-Gram Technique and Rabin Karp method. N-gram do the sentence splitting based on defined character length, then do the character matching and counting the similiarity percentage value. While in the Rabin Karp detection do the sentence splitting based on character length, then counting the hash value, then matching it, if hash value is match, then for the next step is doing the word matching and counting the similiarity percentage value. From the test result, TF-IDF weighting can be use to plagiarism detection. From the comparison of both method, N-Gram and Rabin Karp produce the same similarity value, but different detection time. N-Gram detection process time is faster than Rabin Karp.
Rupture Transfer through a Large Extensional StepOver by

The 14 November 2001 Kokoxili, Tibet, earthquake (Mw 7.8) ruptured 400 km of the western Kunlun fault in northern Tibet. We apply two inversion methods to P and SH waves recorded by the Global Seismographic Network to recover the spatial and temporal history of the rupture process. The observed surface rupture consists of two strike-slip segments, offset by an extensional step-over. Little surface rupture was observed in the graben system in this step-over, which is approximately 45 km long and over 10 km wide. Our results imply that the rupture did not jump this large gap, but that the rupture was continuous through the graben. The earthquake began with a small strike-slip subevent, presumably along the westernmost of the two segments. This was followed 5 sec later by a subevent of about the same magnitude but having an oblique mechanism with a large normal-faulting component. The likely location for this subevent is within the graben. This oblique-slip event probably enabled transfer of the rupture onto the main Kunlun fault. The main moment release began 18 sec after rupture initiation and propagated over 350 km eastward along the Kunlun fault. Slip on this segment was very heterogeneous, averaging 2 m for the first 200 km, followed by a sharp increase to a maximum of 7.5 m within the next 50 km, and then a rapid decline. The average rupture velocity along the main segment was high ( 3.6 km sec ) and probably exceeded the local shear-wave velocity. The Mw 7.8 Kokoxili earthquake had a longer surface rupture and faster average rupture velocity, radiated more energy, and probably had a lower average fracture energy than the November 2002, Mw 7.9 Denali fault (Alaska) earthquake. Evidence suggests that the velocity of the rupture front dropped significantly after passing the point of maximum slip, implying a large difference in frictional strength between the two ends of the fault. Online material: Waveform fits to teleseismic body waves.
Id-2 protein expression and microvessel density assessment in various types of malignant ovarian tumors

Background. Recent data indicate that inhibitors of DNA binding/inhibitors of differentiation (Id) protein family (Id-1, -2, -3 and -4) proteins may play a significant role in the progression, neoangiogenesis control and metastases formation of various types of malignancies, including ovarian cancer Aims. Our aim was to assess if the expression of Id2 proteins is associated with selected cinical features and microvessel density in women with malignant ovarian tumors. Material and methods. The study group included 56 women operated because of ovarian cancer. The findings were correlated with the tumor type, histological grading and tumor FIGO stage. Tumor Id2 protein expression was assessed by immunohistochemistry and microvessel density was examined as CD-34 expression. Results. The mean age of the patients was 57± 12,8 (SD) years and 37 (66,1%) of women in this group were postmenopausal. Histological examination revealed that there 27 were serous ovarian cancers (n=27), 12 mucinous cancers, 4 endometrioid cancers and 13 other malignant tumors. Expression of Id2 protein estimated semiquantitatively (as 1 to 9 points) was found in 52 cases. Id2 protein was found in both nuclei and cytoplasm of cancer cells, however, some staining was seen in pericytes adjacent to tumor microcapillary lumen. Patients menopausal status had no influence on the intenstity of protein staining. Low FIGO stage (I and II) tumors had medium or high Id2 expression. Microvessel density, but not Id2 expression was significantly correlated with tumor histological type (p=0,008) with the lowest values found in serous tumors and the highest values found in mucinous cancers. A significant correlation between Id2 expression and MVD was found (R=0,38; p=0,003). The median of MVD was almost twice lower in a group of cancers with low when compared to high Id2 protein expression. Conclusions. Our results indicate that Id2 protein with microvessel density assessment may be used as additional prognostic factors in women with various types of malignant ovarian tumors.
Fiat Money Oligopolistic Economy With Labor/Leisure Trade-Off and Equilibrium Default

We are constructing an imperfect competition general equilibrium model, with non-consumable money and labor market; our toolkit is an equilibrium default model of Shubik-Wilson (1978). Our result has an ‘equilibrium volatility’ simultaneously occurring at all three markets: labor, goods, and credit market, with a fixed money supply from a bank. <br><br>A worker and an entrepreneur strategically and simultaneously trade at the three markets. Players are uncertain about each other’s actions, and do not have a convergence of common beliefs of common knowledge. It is impossible to calculate equilibrium mixed strategies exactly, but it is possible to identify some Pareto-efficient strategies and study induced prices, wages, interest rates, default, allocations and payoffs, which are all volatile, and their fluctuations are not independent. We present an equilibrium result, when a total value of default is bigger than total money supply.
REGIME DEPENDENT PRECIPITATION TYPE FORECASTING

The ability to determine precipitation type instantaneously across a forecast area would provide forecasters with much more information about current weather conditions. Currently, weather observations are reported once per hour from reporting sites at airports and other official reporting stations. These locations are not fit to a grid with clusters of reporting sites closer to urban areas and less reporting sites in rural areas. This unequal distribution of sites can make determination of precipitation type difficult throughout the forecast area. The polarimetric radar sends out pulses of radar waves that bounce off of particles in the atmosphere and the energy is reflected back to the radar dish. A computer processes the returned signals and through the use of algorithms can make conclusions about the particles it saw. The polarimetric radar measures such variables as the differential reflectivity, correlation coefficient, linear depolarization ratio, specific differential phase, and cross-polar terms that have yet to be fully studied. Since the polarimetric radar is able to measure more weather variables than Doppler radar, the polarimetric radar has many more applications. A method to determine precipitation type based off of the variables measured by the polarimetric radar would give forecasters an instantaneous view of the current weather and improve short term forecast skill. The regime dependent nature of the atmosphere has been studied in multiple aspects of weather and climate. In 1986, Brown et al. found that smaller scale, transient eddies may play a regime-dependent role in interactions with atmospheric circulation modes on the scale of persistent anomalies. In 1990, Zwiers and Storch introduced the class of regime dependent autoregressive time series modeling of the Southern Oscillation. In 1998, Paul J. Roebber examined the manner in which degree day forecasters adjust their reliance on particular pieces of forecast information as the large-scale flow pattern evolves into different regimes and found that the weighting of MOS was situation dependent and that forecast skill and value were maintained under large-scale flow regimes in which MOS was less useful through significant
Project Characteristics-An Initial Empirical Investigation

Design science research (DSR) has gained increased attention in the past decades. This type of research is commonly organized as research projects that need to be managed thoroughly to achieve the intended outcomes. However, very little empirical data are available that provide insights into the nature of DSR projects. This this study aims to better understand DSR projects as a foundation for further studies. It provides first empirical data about DSR project characteristics that have been collected in eight semi-structured interviews with experienced scholars. The data show that DSR projects are heterogeneous in terms of size, complexity, duration, budget and research outputs. They have in common that they focus on relevance, the design of artifacts, evaluation and the involvement of industry partners. A comparison with related meta-studies reveals that research methods employed in DSR projects differ significantly from the ones identified in the meta-studies.
Implementasi Private Cloud Menggunakan Raspberry PI Untuk Pengaksesan Data Pribadi

The continued development and widespread use of current technology so that accessing and managing data from a personal computer to make private users become inflexible due to the personal computer requires a power source directly and storage areas are static, therefore, the author plans to implement a service private cloud that uses raspberry pi as a server and will be tested by the test Blackbox. Our research by collecting data that we did put a literature study, experiments, and observations. The design method using UML use case diagrams, class diagrams, activity diagrams and sequence diagrams. This application is built using Django, Python, Raspberry Pi, MySQL. Hopefully the benefit of this implementation can help a person in terms of managing data from a wide variety of resources (resource) quickly and anywhere.
NUTRIENT AND SOLIDS REMOVAL BY LIME AND ALUM TREATMENT OF FLUSHED DAIRY MANURE

of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Engineering NUTRIENT AND SOLIDS REMOVAL BY LIME AND ALUM TREATMENT OF FLUSHED DAIRY MANURE By Hector Lago Jopson December 2004 Chair: Roger A. Nordstedt Major Department: Agricultural and Biological Engineering Dairy farms utilizing flushed manure systems deal with voluminous liquid manure on a daily basis. To maintain the effective storage capacity of storage ponds, tanks, and lagoons, an irrigation system is usually employed for land application of wastewater. This repeated application of dairy wastewater on limited cropland can result in high levels of nutrients, especially phosphorus (P), in the soil. Runoff from these areas can potentially increase the risk of eutrophication of nearby surface water and leaching into the groundwater. Presently, solids separators have proven inefficient in removing the solids and nutrients from the liquid dairy manure. An effective and sustainable system must be developed to further reduce the solids and nutrients. The field demonstration project in Riverview, Florida, where hydrated lime slurry and alum were used to remove nutrients and solids from a flushed dairy manure system, was the basis for this laboratory evaluation. This study evaluated the effectiveness of hydrated lime, a commercial quicklime product, alum, and combined hydrated lime and
MEASUREMENT OF CONCRETE SHRINKAGE USING FABRY-PEROT FIBER-OPTIC SENSOR

The Fabry-Perot sensor is one type of fiber-optic sensing technology based on interferometry principles. It is designed to measure localised strains with high precision. As one of its multiple applications, the sensor can be cast in concrete to become embedded fiberoptic strain gauge. This paper presents the use of Fabry-Perot sensors in a long-term concrete shrinkage experiment conducted in The University of Hong Kong. In this study, shrinkage test specimens are cast from 5 concrete mixes covering conventional concrete (with and without shrinkage reducing agents), high strength concrete and self-consolidating concrete. The specimens are all prismatic with dimensions 75 mm by 75 mm by 250 mm. Each of them is instrumented with a fiber-optic sensor. Shrinkage strain measurements are taken up to oneyear period. The Fabry-Perot sensors have been testified to possess good robustness and stability. Experimental results revealed the one-year shrinkage strains (as well as the estimated ultimate shrinkage strains) of the specimens are within the range of 400 to 700 microstrains. The shrinkage strain measurements provide important information for evaluation of shrinkage half-time, which is found to be around two weeks for mixes without addition of shrinkage reducing agent.
Prosodic Typology and Transcription : A Unified Approach

Carlos Gussenhoven Centre for Language Studies University of Nijmegen September 2000 ABSTRACT A system for the transcription of Dutch intonation is described, based on the autosegmental description by Gussenhoven. Intonational Phrase (IP) boundaries, Utterance boundaries, IP-final and IP_initial tones, plus pitch accents are described, following the Pierrehumbert model. It uses three initial boundary tones, %L, %H and %HL, three final boundary conditions, L%, H% and % (no tone), five pitch accents H*. L*. H*L, L*H, and H*! H, plus two modifications, Delay (L*-prefix) and downstep (! H). The system has a larger covergae than the IPO grammar, is more transparent than the earlier autosegmental description, while also inclidung the distinction between low rise (L*H H%) and high rise (H*H%), absent from the earlier description. The system is available as an interactive course on the internet at .
On the magnitude – and distance dependency of the grground-motion variabilitytdependency Ground-motion variability : comparison between simulations and real Numerical simulations and real data analysis

The ground-motion variability “sigma” is a fundamental component in Probabilistic Seismic Hazard Assessment, since it controls the hazard level at very low probabilities of exceedance. So far, most of the analyses based on Empirical Ground-Motion Prediction Equations have considered “sigma” to be constant. We then investigate the distance -and magnitude dependency of “sigma” by performing ground-motion numerical simulations from a suite of finite-source rupture models of past earthquakes (up to 3 Hz). Green’s functions are calculated for a 1D velocity structure using a discrete wavenumber technique (Bouchon et al., 1981). The simulations reveal that the within-event component of the ground-motion increases with distance and decreases with magnitude. This tendency is consistent with the results of Rodriguez-Marek et al. (2011), based on accelerometric data analysis.
AN ADVANCED TRIBOLOGY MODEL FOR HOT FORGING SIMULATIONS

Simulation of hot forging is limited by the low sophistication of tribology models available in commercial codes. It is demonstrated that these simple models lead to erroneous predictions of strains in simple forging operations. A more sophisticated model, involving estimations of friction from asperity-scale interactions between surfaces, is developed and applied to hot forging of a nickel-based super alloy. The resulting simulations better reproduce experimentally observed behaviour.