Miracle-dz/UniFAR-FTUs huggingface dataset:
Infrared Analysis of Electrostatic Layer-By-Layer Polymer Membranes Having Characteristics of Heavy Metal Ion Desalination

Layer-by-layer (LbL) self-assembly is a spontaneous and reversible organization process of interacting organic and polymeric components by their aggregation into ordered structures on substrate. LbL self-assembly process which occurs due to sequential adsorption of materials with complementary functional groups. Producing robust films and allow a precise control over the film thickness and its properties. This technique has been widely applied for the fabrication of multilayer films of organic and polymeric compounds, organic-inorganic hybrid structures, larger objects such as latex particles, and even purely inorganic thin films. By combining various functional materials for the formation of self-assembly multilayer, the LbL technique has led to a wide range of novel materials for various applications. [1,2]
EnMAS : A New Tool for Multi-Agent Systems Research and Education

Multi-agent systems (MAS) is a field of growing relevance to our modern world with applications everywhere from heterogenous distributed computing and storage to robot swarms. One model of MAS is the Decentralized, Partially Observable Markov Decision Process, or Dec-POMDP, used extensively in current research, and capable of modeling both large multi-agent and smaller single-agent systems, whether stochastic or deterministic. The project to be demonstrated is a framework and an application for specifying DecPOMDP problems and agents. Named EnMAS (Environment for Multi-Agent Simulation), the project is designed to be useful for research and as a teaching tool. To that end, DecPOMDP problems are specified using Scala, an expressive hybrid functional and objectoriented language that targets the Java Virtual Machine. Agents may be written in Java or Scala. While the latter makes code-writing more efficient, backwards compatibility is provided for those who want to write AI agents in Java, a feature designed to make the framework more useful in the classroom setting. Algorithms for doing on-line learning have different input requirements than those for offline planning, and satisfying both can lead to error-prone code duplication. This problem is addressed by the ability to employ a single EnMAS problem specification syntax in both phases. Another major goal of the EnMAS project is to unify the formats used to encode experiments. Efforts are made toward a clean, human-readable problem specification syntax, and code for both problem and agent are archived using the common JAR file format for easy sharing. An additional goal is to provide high performance scalability. EnMAS is a client-server application, where each client in turn may host many agents. In this way, users may run both server and clients on a single node and still reap the benefits of today’s multi-core architectures. Alternatively, more machines can run as an ad-hoc cluster. This work is the product of a Master’s project in software engineering. Sample results to do with Dec-POMDP research come from an undergraduate research project in the area.
Intuitionistic Fuzzy Multiple Attribute Decision-Making Model Based on Weighted Induced Distance Measure and Its Application to Investment Selection

This paper investigates an intuitionistic fuzzy multiple attribute decision-making method based on weighted induced distance and its application to investment selection. Specifically, an intuitionistic fuzzy weighted induced ordered weighted averaging operator is proposed to eliminate the drawbacks of existing methods by extending the functions of the order-induced variables. The main advantage of the proposed operator is its dual roles of the order-inducing variables that can simultaneously induce arguments and moderate associated weights. A further extension of the proposed operator is its adaptation towards measuring intuitionistic fuzzy information more effectively. In addition, a multiple attribute decision-making model based on the proposed distance operators is proposed. Finally, the practicability and validity of the proposed model are illustrated by using a numerical example related to investment selection.
Deformation Analysis Based on Designed Experiments and Kalman Filter

This paper is focused on the deformation monitoring of survey control points in the Gidan Kwano main campus, Federal University of Technology, Minna, Nigeria. The main objectives are to develop and test a kinematic deformation analysis model using simulated GPS test data. RTK GPS was the main equipment deployed for the monitoring. The kinematic deformation analysis model developed for this study was based on Kalman filtering technique. In order to verify the developed ki- nematic model, designed experiments, with artificially introduced deformations, were performed to test centimetre-level horizontal movements on four points (GPS 01, GPS 08, GPS 09 and GPS 12). The developed kinematic model was used to determine six unknown parameters of movements, namely position displacements (dx, dy), velocities (Vx, Vy) and accelerations (ax, ay). The results of the computed movement parameters of the control points show that the introduced deformations were detected by the ki- nematic deformation model. The model also detected that there was no deformation introduced to point GPS 09. Some of the discrepancies in the computed results can be attributed to centring errors during observations.
Regional differences in outpatient antibiotic consumption in Switzerland

This paper investigates regional variations in outpatient antibiotic use and provides a first empirical analysis based on Swiss data. We compare Swiss antibiotic consumption with antibiotic use in other European countries and present descriptive statistics at cantonal level. Preliminary findings show that Switzerland exhibits relatively low levels of consumption. There are significant differences among cantons both in the per capita antibiotic sales and Defined Daily Doses per 1000 inhabitants per day (DID). Regression analysis suggests that demographic factors, density of pharmacies and medical practices, in-come and the incidence of infections are significantly related to antibiotic consumption.
UNSPECIFIED A Coordination Model for Exploratory Multi-View Visualization

In this paper, we present a coordination model for exploratory multi-view visualization. We base our work on current research in exploratory visualization and other disciplines. Our model is based on sharing abstract objects such as the visualization parameters of the dataflow model to achieve coordinated exploratory tasks in multiple views. This model describes how current coordinations in exploratory visualization work and allows novel coordinations to be constructed.
Homicide Inquiry Reports as Active Texts

Inquiries into adverse events make a significant contribution to the way risk is understood in modern society. Reports produced by panels of inquiry represent an important textual development, yet some aspects of such texts remain relatively underresearched. In particular, it is the manifest functions of inquiry reports that receive attention rather than their latent symbolic functions. This paper focuses on homicide inquiry reports in mental health and demonstrates how these texts have behaved as active documents in structuring social relations and responses to risk in this field. It is argued that inquiry reports in this context have taken on the status of modern allegories. Such reports have been significant, both because they are symptomatic of increased levels of anxiety associated with mental illness in post-community care society and also because they have served to exacerbate these anxieties.
PARYLENE-BASED WIRELESS INTRAOCULAR PRESSURE SENSOR FOR GLAUCOMA

PARYLENE-BASED WIRELESS INTRAOCULAR PRESSURE SENSOR FOR GLAUCOMA RESEARCH By Brian Crum Direct, accurate, and continuous intraocular pressure (IOP) monitoring is necessary to better understand the relationship between elevated IOP and glaucoma, a degenerative eye disease. Currently, tonometry is used to measure IOP in research subjects. In this technique, the deflection of the cornea due to a known applied force is measured and IOP values are derived based on the invalid assumption that the corneas of all eyes are very similar. Tonometry is highly operator dependent, labor intensive and can be stressful to research animals, particularly if a study calls for several daily measurements. This thesis describes the development of a wireless, implantable pressure sensor that can overcome these drawbacks of traditional IOP monitoring. Design, fabrication and characterization of the Parylene-based sensor are presented with the aim of enabling 1-2 year studies on the relationship between IOP and glaucoma. The sensor is comprised of an integrated planar MEMS coil and a capacitive pressure sensing element. Parylene-C was chosen as the packaging and structural material due to its flexibility and performance as a moisture and dielectric barrier. Sensors were evaluated for sensitivity and telemetry distance in an environment approximating the anterior chamber of the eye. Experimental results demonstrate wireless pressure sensing capability with 1 mmHg resolution over the range of 0-100 mmHg in isotonic saline at a telemetry distance of 20 mm. Copyright by BRIAN CRUM 2013
Laser-induced plasma formation in water at nanosecond to femtosecond time scales: Calculation of thresholds, absorption coefficients, and energy density

The generation of plasmas in water by high-power laser pulses was investigated for pulse durations between 100 ns and 100 fs on the basis of a rate equation for the free electron density. The rate equation was numerically solved to calculate the evolution of the electron density during the laser pulse and to determine the absorption coefficient and energy density of the plasma. For nanosecond laser pulses, the generation of free electrons in distilled water is initiated by multiphoton ionization but then dominated by cascade ionization. For shorter laser pulses, multiphoton ionization gains ever more importance, and collision and recombination losses during breakdown diminish. The corresponding changes in the evolution of the free carrier density explain the reduction of the energy threshold for breakdown and of the plasma energy density observed with decreasing laser pulse duration. By solving the rate equation, we could also explain the complex pulse duration dependence of plasma transmission found in previous experiments. Good quantitative agreement was found between calculated and measured values for the breakdown threshold, plasma absorption coefficient, and plasma energy density.
MicroRNAs’ Gene Expression Technology for the Evaluation of Disease Modulation by Mild Nutrients

Cell’s gene expression profile determines its function, phenotype and cells’ response to external stimuli, and thus helps elucidate various cellular functions, biochemical pathways and regulatory mechanisms [1]. Several gene expression profiling methods at the mRNA level have emerged during past years, and have been successfully applied to cancer research. Profiling by microarrays [2, 3] allows for the parallel quantification of thousands of genes from multiple samples simultaneously, using a single RNA preparation, and has become valuable because microarrays are convenient to use, do not require large-scale DNA sequencing, gives a clear idea of cells’ physiological state, and is considered a comprehensive approach to characterize cancer molecularly, as seen in studies on colon cancer [1-3].
SEMANTIC ANALYSIS AND CONTEXTUAL HARMONY OF DURATIONS

Temporal relations, such duration, aspect, frequency, time point and sequence as expressions, describe the relationships between temporal elements and events in complex knowledge networks. Logical compatibility between temporal elements and different types of events has a strong influence on the semantic interpretation and grammaticality of sentences. It is one of the most complicated, frequently used, but least understood concepts in linguistics. In this paper, we focus on durations, and show that syntactic structures (construction patterns) make fine-grained distinctions between durations. We also explain their common functionalities and differences based on semantic harmony. In addition, we show that the usage of durations is affected primarily by their constructional meanings and the types of collocated events; and constructional meaning of durations is main factor which affect the usage of durations. Furthermore, we demonstrate that the morpho-syntactic structure of durations also reduces the flexibility of their usage. We list four types of morpho-syntactic structures of duration expressions, and discuss the constraints on their usage. Based on our observations, we conclude that the properness of a sentence depends on an ordering of the lexical words such that the semantics, syntax, and morphology of the sentence are in harmony. SUBJECT
A Review of Electromyography Signal Analysis Techniques for Musculoskeletal Disorders

Social Security Organisation (SOCSO) Malaysia has reported that the incidence of work related to musculoskeletal disorders (MSDs) has been growing planetary in the manufacturing industry. MSDs are the result of repetitive, forceful or awkward movements on our body and or body parts of bones, joints, ligaments and other soft tissues. Workplace pains and strains can be serious and disabling for workers, causing pain and suffering ranging from discomfort to severe disability. To overcome this problem, Electromyography is proper to use in Health Screening Program (HSP) it to monitor darn diagnose the muscle’s performance for their patient and know the exact localization of muscle pain. The previous researchers has been explore of several in EMG analysis techniques and features proposed in time, frequency and time-frequency domain analysis. This review of common EMG signal processing techniques is proposed by assembling from simple to complex analysis techniques to give the overview information for the other researcher. This is because; the suitable selection of a method and its features settings will ensure readability of the time-frequency representations and reliability of results. The strongest correspond with time-frequency characteristic and resolution also reducing cross term for bilinear will consider it as the optimal method.
Physical and Optical Properties of Microscale Meshes of Ti3O5 Nano- and Microfibers Prepared via Annealing of C-Doped TiO2 Thin Films Aiming at Solar Cell and Photocatalysis Applications

Dye-sensitized nanocrystalline solar cells (DSSC) or photoeletrochemical solar cells were firstly described by Gratzel and O’Reagan in the early 1990s (Sauvage et. al., 2010) and they have reached the global photovoltaic market since 2007. Later on, the investments in nanotechnology enabled the rapid development of DSSC cells with nanostructured thin films. According to a review performed by Hong Lin et. al. (Lin et. al., 2009) the numbers of papers focusing on the development of the DSSC cells increased in last decade, being mainly originated in countries such as Japan, China, South Korea, Swiss and USA, where there is an enlarged integration of nanotechnology, electrochemical and polymers research and finantial supported projects like National Photovoltaic Program by Department of Energy (DOE) and NEDO’s New Sunshine from USA and Japan, respectively. Some research groups of the institutions (Kim et. Al., 2010),which have recently obtained efficiencies around 10%, are EPFL (11.2% in 2005) and AIST (10% in 2006). They have used the N719 colorant in devices with area 0.16cm2 and 0.25cm2. On the other hand, Sharp, Tokyo University and Sumitomo Osaka Cell have used the black dye colorant in devices with areas of approximately 0.22cm2, providing the efficiencies of about 11.1%, 10.2% and 10% in the years 2006, 2006 and 2007, respectively. In 2006, Tokyo University has also reached the efficiency of 10.5% in devices with 0.25cm2 area, but using -diketonide colorant. Initially, the DSSC (Sauvage et. al., 2010) were based on a nanocrystalline semiconductor (pristine titanium dioxide) coated with a monolayer of charge-transfer dye, with a broad absorption band (generally, polypyridyl complexes of ruthenium and osmium), to sensitize the film. The principle of operation of these devices can be divided into: a) the photo-current generation that occurs when the incident photons absorbs in the dye, generates electronhole pairs and injects electrons into the conduction band of the semiconductor (Ru2+ -> Ru3+ + e-), and b) the carrier transport that occurs because of the migration of these electrons through the nanostructured semiconductor to the anode (Kim et. al., 2010). Thus, since this device requires an electrode with a conduction band with a lower level than the dye one, the
BENEFITS OF CREATING ENSEMBLES OF CLASSIFIERS

In recent years, there has been an explosion of papers in the data mining community discussing how to combine models or model predictions, and the reduction in model error that results. By combining predictions, more robust and accurate models nearly always improve without the need for the high-degree of fine tuning required for single-model solutions. Typically, the models for the combination process are drawn from the same algorithm family (decision trees), though this need not be the case.
Image Despeckling Based on LMMSE Wavelet Shrinkage

A low complexity method for suppressing speckle in synthetic aperture radar (SAR) images is proposed. This method doesn't require the logarithmic transform and is an extension of the linear minimum mean square error (LMMSE) filter to the image wavelet representation. A spatially adaptive shrinkage function is obtained and each modified coefficient is decided separately. Simulation results for the simulated SAR images demonstrate the proposed method outperforms some representative SAR despeckling methods.
GIS ─ Application To Make GeomorphometricAnalysis In Raster Data

We present an approach to identify some geomorphometrical characteristics of raster geo-images based on a Geographic Information System (GIS). The characteristic identification involves the generation of raster layers, topographic ruggedness and drainage density. In a sense, the topographic ruggedness is used to express the amount of elevation difference between adjacent cells of the Digital Elevation Model (DEM). Moreover, the topographic ruggedness is presented by means of a Terrain Ruggedness Index (TRI). We use the Spline Interpolation Method to obtain the density layers. These layers are used to represent the amount of geographic linear objects in a specific area. The algorithm has been implemented into GIS – ArcInfo, and applied for a GIS of Tamaulipas State, Mexico.
Measurement Matrix Construction Algorithm for Compressed Sensing based on QC-LDPC Matrix

The measurement matrix of compressed sensing has a significant impact for sampling and reconstruction algorithm of the original signal. At present, the majority of the measurement matrix is randomly constructed, and it is difficulty for hardware implementation in the practical applications. In this paper, we use the sparse characteristic of parity- check matrix of LDPC codes, construct measurement matrix based on QC-LDPC (Quasi-cyclic low-density parity-check) matrix, which is a structural and sparse deterministic measurement matrix. The simulation results show that, the measurement matrix is proposed in this paper not only can obtain a better reconstructed image quality, but also it can reduce the complexity of hardware implementation for quasi-cyclic.
Volatile CO2 Prices Discourage CCS Investment

Climate policy proposals based on cap and trade mechanisms with tight caps will likely lead to highly volatile CO2 prices. This volatility is ignored in many studies, even though it can be expected to exceed that of natural gas and to exceed the wide ranges in CO2 price forecasts. Volatility will significantly increase investment risk, raise the cost of capital, and make it valuable to defer investments. The net result could be that CO2 price volatility becomes an impediment to the very investments that the climate policy is attempting to encourage. Compared to a carbon policy regime with more predictable carbon prices, we estimate that CO2 price volatility under current policy proposal could delay investment in low-carbon and carbon abatement technologies by 10 years or more. We propose that an effective policy to reduce this investment barrier would be a safety-valve mechanism that includes both a floor and a ceiling on CO2 prices. This would reduce volatility and protect both investors and customers from extreme carbon prices.
Sn 1 all nonparametric tolerance regions for directional data

We present a natural approach, based on minimum volume sets, for constructing nonparametric tolerance regions for directional data. The tolerance regions have desirable features like invariance and are asymptotically minimal under certain conditions. We establish the asymptotic correctness of our tolerance regions by using the theory of empirical processes and generalized quantiles. The results are obtained under minimal conditions. In case of circular data, the finite sample properties of the tolerance arcs are studied through simulations. The method is also applied to a real data example. Mathematics Subject Classification (1991) : 62G15, 62Hll, 62G30, 60F05.
Diverging nematic susceptibility, physical meaning of T * scale, and pseudogap in the spin fermion model for the pnictides

Using Monte Carlo simulations with a tunable uniaxial strain, for the first time the nematic susceptibility of a model for the pnictides is calculated. The results are in good agreement with the experiments by J-H. Chu {\it et al.}, Science {\bf 337}, 710 (2012). Via a Ginzburg-Landau analysis, our study suggests a nematicity in pnictides primarily originating on magnetism, but with the lattice/orbital boosting up critical temperatures and separating the structural $T_S$ and N\'eel $T_N$ transitions. At $T>T_S$, Curie-Weiss behavior is observed with the characteristic temperature $T^*$ unveiled by Chu {\it et al.} being the $T_N$ of the purely electronic system. In this temperature regime, short-range magnetic order with wavevectors $(\pi,0)-(0,\pi)$ induce local nematic fluctuations and a density-of-states pseudogap, compatible with several experiments.
Selecting the Optimal Mine Ventilation System via a Decision Making Framework under Hesitant Linguistic Environment

Ventilation systems are amongst the most essential components of a mine. As the indicators of ventilation systems are in general of ambiguity or uncertainty, the selection of ventilation systems can therefore be regarded as a complex fuzzy decision making problem. In order to solve such problems, a decision making framework based on a new concept, the hesitant linguistic preference relation (HLPR), is constructed. The basic elements in the HLPR are hesitant fuzzy linguistic numbers (HFLNs). At first, new operational laws and aggregation operators of HFLNs are defined to overcome the limitations in existing literature. Subsequently, a novel comparison method based on likelihood is proposed to obtain the order relationship of two HFLNs. Then, a likelihood-based consistency index is introduced to represent the difference between two hesitant linguistic preference relations (HLPRs). It is a new way to express the consistency degree for the reason that the traditional consistency indices are almost exclusively based on distance measures. Meanwhile, a consistency-improving model is suggested to attain acceptable consistent HLPRs. In addition, a method to receive reasonable ranking results from HLPRs with acceptable consistency is presented. At last, this method is used to pick out the best mine ventilation system under uncertain linguistic decision conditions. A comparison and a discussion are conducted to demonstrate the validity of the presented approach. The results show that the proposed method is effective for selecting the optimal mine ventilation system, and provides references for the construction and management of mines.