Miracle-dz/UniFAR-FTUs huggingface dataset:
The Document Similarity Network : A Novel Technique for Visualizing Relationships in Text Corpora

With the abundance of written information available online, it is useful to be able to automatically synthesize and extract meaningful information from text corpora. We present a unique method for visualizing relationships between documents in a text corpus. By using Latent Dirichlet Allocation to extract topics from the corpus, we create a graph whose nodes represent individual documents andwhose edgeweights indicate the distance between topic distributions in documents. These edge lengths are then scaled using multidimensional scaling techniques, such that more similar documents are clustered together. Applying thismethod to several datasets, we demonstrate that these graphs are useful in visually representing high-dimensional document clustering in topic-space.
Handbook of Research on Culturally-Aware Information Technology: Perspectives and Models

Human Resources in Healthcare, Health Informatics and Healthcare Systems addresses two major problems that threaten the health of the human race. The first of which is the lack of human resources in healthcare. We need to ensure that we have an adequate number of healthcare professionals who are highly motivated and properly trained. Furthermore, we need to ensure that they have the latest health technology at their disposal, which is the second major issue facing the world today. The worlds most respected scholars and practitioners describe their experiences and propose possible theoretical and practical solutions in this relevant and timely handbook.
Selective victim caching: a method to improve the performance of direct-mapped caches

Victim caching was proposed by Jouppi (1990) as an approach to improve the miss rate of direct-mapped caches. This approach augments the direct-mapped main cache with a small fully-associate cache, called victim cache, that stores cache blocks evicted from the main cache as a result of replacements. The authors propose and evaluate an improvement of this scheme, called selective victim caching. In this scheme, incoming blocks into the first-level cache are placed selectively in the main cache or the victim cache by the use of a prediction scheme based on their past history of use. In addition, interchanges of blocks between the main cache and the victim cache are also performed selectively. The authors show that the scheme results in significant improvements in miss rate as well as the number of interchanges between the two caches, for both small and large caches (4 Kbytes-128 Kbytes). For example, simulations with four instruction traces from the SPEC Release 1 programs showed an average improvement of approximately 20 percent in miss rate over simple victim caching for a 16 K cache with a block size of 32 bytes; the number of blocks interchanged between the main and victim caches reduced by approximately 74 percent. Implementation of the scheme in an on-chip processor cache is described. <<ETX>>
Stereoscopic High Dynamic Range Video

Stereoscopic video content is usually being created by using two or more cameras which are recording the same scene. Traditionally, those cameras have the exact same intrinsic camera parameters. In this project, the exposure times of the cameras differ, allowing to record different parts of the dynamic range of the scene. Image processing techniques are then used to enhance the dynamic range of the captured data. A pipeline for the recording, processing, and displaying of high dynamic range (HDR) stereoscopic content, acquired using inexpensive low dynamic range (LDR) cameras, is proposed. Two different approaches to obtain stereoscopic HDR content are presented and compared. In the temporal approach, different parts of the luminance range of the scene are recorded by temporally changing the exposure time of both cameras. Information from adjacent frames captured by the same camera is then used in order to increase the dynamic range. In the spatial approach, both cameras are assigned a distinct, fixed exposure time. Here, the dynamic range is increased by combining data from the cameras. It is found that the intrinsic problems of the spatial approach are much more difficult to deal with than the ones of the temporal approach. In particular stereo matching, the critical component to combine data in the spatial approach, is more difficult than traditionally because the two cameras have different exposure times. The results are evaluated for both static scenes and scenes with object movement using an objective quality metric of the visible differences of the stereoscopic pair independently, and visual evaluation on a stereoscopic display to evaluate the stereoscopic quality.
DEVELOPMENT OF SCANNING METHODS IN AFM IMAGING

An atomic force microscope (AFM) is a scientific instrument capable of investigating, controlling, and manipulating matter on a nanoscale. It is a fundamental part of research in the field of nanotechnology because of its capability to obtain threedimensional images of specimens in the areas of life sciences and material science. However, the imaging performances of currently available AFMs are influenced by their conventional zigzag raster pattern scanning method. This is due to the presence of high frequency harmonics of the triangular signal which excites the tube resonance at high scanning speeds. Over the last two decades, several works have attempted to overcome this issue in order to meet current demands. This article presents an overview of the developments in scanning techniques for high-speed AFM imaging. Keywords—Nanotechnology, atomic force microscope, raster scan, spiral scan, cycloid scan, Lissajous scan.
Fiscal consolidation in developed and emerging economies

The debate regarding fiscal policy has given support to the formulation of an economic policy based on control of indebtedness and in persecution of public savings, acting as important support for the economic growth. This paper presents evidence that counter acts this theory of expansionary austerity. A set of panel data regressions is estimated – through Driscoll & Kraay’s, FGLS, panel corrected standard errors, and SUR estimators and the causality test approach proposed by Konya (2006) – in search of robust inference related to the main determinants that encompasses the fiscal framework. Our conclusion is that the empirical evidence - using a set of 20 developed economies and other of 24 emerging economies - suggests that identical economic policies for different countries might conduce to results that are opposite to the desired outcome. Notwithstanding the adverse effects associated to explosive debt path, the search for “fiscal space” should be determined essentially by a pro-growth agenda. This is particularly important for the emerging economies facing the transition path challenges.
ELECTRONIC HANDWRITING CHARACTER RECOGNITION (E-HWCR)

With the advancement of electronics, the different technologies used in computer vision, helps to recognize a hand written character more effectively and yields a reliable output. Password protection is a current challenge and it has various methods involved in it. On-line hand writing character recognition using accelerometers is the basic proto-type for all the latest technologies. In this project, the recognition process is done by using a micro-electromechanical device (MEMS) Accelerometer and Microcontroller within built ADC and using I2C interface. The system uses processor to store the characters and it is interfaced to the computer for recognizing the data with any of Integrated Development Interface (IDE) as Visual Basic. There are advance techniques in research of password by studying blood veins of a person's palm, such as bio-metric techniques works on accelerometers in built.
Observations on demodectic mange in dogs.

Abstract— A brief review of the literature on various aspects of demodicosis in dogs is followed by a suggested pathogenesis. Some of the effects of Demodex on hosts other than dogs are then mentioned. Reasons why Demodex canis is easily destroyed in vitro but not in vivo are put forward. Finally it is proposed that demodicosis is capable of eradication in pedigree dogs.
Numerical Experiments with Non-linear Double Membrane Drums

Drums with two membranes are very common; snare drums, tom-toms and bass drums can be found in Western music, but there are examples in Eastern music, as well (the Indian mridangam, the Japanese taiko, etc.) These instruments can have considerable physical dimensions; bass drum heads can sometimes reach a radius of half a meter. Given the size, the low tension at which the membranes are generally tuned and the amplitude of vibrations, it is unlikely that a linear model could capture the most salient features of the sound of these instruments. Pitch glide effects and an increase of high-frequency energy has been observed at high excitation amplitudes for the bass drum [1] and more recently for tom-toms [2]. Similar phenomena have been observed, for example, in strings [3] and plates [4], and are often related to the presence of non-linearities in the system. In this paper we present a finite difference time domain model of double membrane drums (i.e., tom-toms and bass drums) with air coupling and with non-linear terms (due to von Kármán) in the equations of motion for the two membranes. Some of the computational difficulties stemming from this particular choice will be discussed. Simulation results and sound examples will be presented.
Incidence and Correlates of HIV-1 RNA Detection in the Breast Milk of Women Receiving HAART for the Prevention of HIV-1 Transmission

Background The incidence and correlates of breast milk HIV-1 RNA detection were determined in intensively sampled women receiving highly active antiretroviral therapy (HAART) for the prevention of mother-to-child HIV-1 transmission. Methods Women initiated HAART at 34 weeks of pregnancy. Breast milk was collected every 2–5 days during 1 month postpartum for measurements of cell-associated HIV DNA and cell-free HIV RNA. Plasma and breast milk were also collected at 2 weeks, 1, 3 and 6 months for concurrent HIV-1 RNA and DNA measurements. Regression was used to identify cofactors for breast milk HIV-1 RNA detection. Results Of 259 breast milk specimens from 25 women receiving HAART, 34 had detectable HIV-1 RNA (13%, incidence 1.4 episodes/100 person-days 95% CI = 0.97–1.9). Fourteen of 25 (56%) women had detectable breast milk HIV-1 RNA [mean 2.5 log10 copies/ml (range 2.0–3.9)] at least once. HIV-1 DNA was consistently detected in breast milk cells despite HAART, and increased slowly over time, at a rate of approximately 1 copy/106 cells per day (p = 0.02). Baseline CD4, plasma viral load, HAART duration, and frequency of breast problems were similar in women with and without detectable breast milk HIV-1 RNA. Women with detectable breast milk HIV-1 RNA were more likely to be primiparous than women without (36% vs 0%, p = 0.05). Plasma HIV-1 RNA detection (OR = 9.0, 95%CI = 1.8–44) and plasma HIV-1 RNA levels (OR = 12, 95% CI = 2.5–56) were strongly associated with concurrent detection of breast milk HIV-1 RNA. However, no association was found between breast milk HIV-1 DNA level and concurrent breast milk HIV-1 RNA detection (OR = 0.96, 95%CI = 0.54–1.7). Conclusions The majority of women on HAART had episodic detection of breast milk HIV-1 RNA. Breast milk HIV-1 RNA detection was associated with systemic viral burden rather than breast milk HIV-1 DNA.
On the mechanisms of late 20 th century sea ‐ surface temperature trends over the Antarctic Circumpolar Current

[1] The Antarctic Circumpolar Current (ACC), with its associated three‐dimensional circulation, plays an important role in global climate. This study concentrates on surface signatures of recent climate change in the ACC region and on mechanisms that control this change. Examination of climate model simulations shows that they match the observed late 20th century sea‐surface temperature (SST) trends averaged over this region quite well, despite underestimating the observed surface‐wind increases. Such wind increases, however, are expected to lead to significant cooling of the region, contradicting the observed SST trends. Motivated by recent theories of the ACC response to variable wind and radiative forcing, the authors used two idealized models to assess contributions of various dynamical processes to the SST evolution in the region. In particular, a high‐resolution channel model of the ACC responds to increasing winds by net surface ACC warming due to enhanced mesoscale turbulence and associated heat transports in the mixed layer. These fluxes, modeled, in a highly idealized fashion, via increased lateral surface mixing in a coarse‐resolution hybrid climate model, substantially offset zonally non‐uniform surface cooling due to air‐sea flux and Ekman‐transport anomalies. These results suggest that the combination of these opposing effects must be accounted for when estimating climate response to any external forcing in the ACC region.
Human Retrovirus Codon Usage from tRNA Point of View: Therapeutic Insights

The purpose of this study was to investigate the balance between transfer ribonucleic acid (tRNA) supply and demand in retrovirus-infected cells, seeking the best targets for antiretroviral therapy based on the hypothetical tRNA Inhibition Therapy (TRIT). Codon usage and tRNA gene data were retrieved from public databases. Based on logistic principles, a therapeutic score (T-score) was calculated for all sense codons, in each retrovirus-host system. Codons that are critical for viral protein translation, but not as critical for the host, have the highest T-score values. Theoretically, inactivating the cognate tRNA species should imply a severe reduction of the elongation rate during viral mRNA translation. We developed a method to predict tRNA species critical for retroviral protein synthesis. Four of the best TRIT targets in HIV-1 and HIV-2 encode Large Hydrophobic Residues (LHR), which have a central role in protein folding. One of them, codon CUA, is also a TRIT target in both HTLV-1 and HTLV-2. Therefore, a drug designed for inactivating or reducing the cytoplasmatic concentration of tRNA species with anticodon TAG could attenuate significantly both HIV and HTLV protein synthesis rates. Inversely, replacing codons ending in UA by synonymous codons should increase the expression, which is relevant for DNA vaccine design.
Decision Support Systems' Security Model Based on Decentralized Data Platforms

Modern information systems, especially high-risk systems which work with important data lack proper security models. Decision support systems and recommendations they produce are extremely dependent on the data they produce recommendations on, hence they require the most secure data platform and transparent history of data input and changes. Many of such systems are centralized and are stored in a single place, like a data center or even a single machine, where important data can be lost easily. Most importantly, it can be tampered without many complications, as for the typical setup there are people who always have access to the system and its data, including people who know for sure how the system is made and who can act unnoticed, being bad actors. Through all of this can be solved by introducing proper monitoring mechanics and implementing best security practices like using secure protocols and encryption, this article describes methods which completely exclude data tampering possibility and add more important properties like data immutability, decentralization and fault tolerance on a platform level.
SIMULATION OF A TENNIS PLAYER’S SWING-ARM MOTION

Human-factors modeling and the simulation of the human movement have been critical bases for finding the optimized motion in a variety of areas. This study investigated both aspects: the mechanical modeling of the human arm structure and the computational simulation and analysis of a tennis player’s full-swing motion, while the player receives a ball. For this objective, the arm structure was regarded as a serial 6 degrees of freedom (DOF) mechanical manipulator with three rigid links. Each joint-angle data point was obtained in a discrete manner through the observation of a related video file. The data were then applied to the DenavitHartenberg (DH) Convention to lead the position vectors of the shoulder, elbow, wrist, and the center point of the racket. The smooth position functions along the DH parameter ( through ) were achieved through the cubic spline interpolation theory. The 3-dimensitonal graphical simulations were produced based on these smooth functions in MATLAB. Additionally, in order to measure the tennis player’s quality of performance, the constraint functions of stress and potential energy were evaluated. The results of the analysis were expected to provide valuable information on a tennis player’s full-swing motion and also serve as a guide for making optimal movements.
Multinational firms and job tasks Working Papers 8

We analyze the impact of multinational and foreign ownership on the demand for job tasks and educational skills. By using Swedish matched employer-employee data, we find that both foreign and domestic multinational firms have high shares of non-routine tasks and tasks requiring personal interaction. Moreover, acquisitions of local firms by multinationals increase the relative demand for non-routine and interactive job tasks in the targeted firms. The differences in the demand for job tasks are only partly explained by firm characteristics. Dividing employees by education instead of job tasks does not result in the same effects on relative labor demand, which shows that task measures do indeed capture a new labor market aspect.
Component Dynamic Behavioral Compatibility Analysis of ScudWare Middleware for Ubiquitous Computing

In ubiquitous computing environments, the software component dynamic behavior and its compatibility analysis are two important issues in middleware dynamic adaptation. In this paper, we firstly present an adaptive middleware architecture called ScudWare for a smart vehicle space. Then a semantic component model is given in detail. Next, for ScudWare middleware, we propose a semantic component dynamic behavior formalization and component behavior compatibility verification based on the higher-order ¼ calculus. Next, a case study is given to evaluate our model and methods. Finally, we draw a conclusion and give our next work.
Understanding and parameter setting of STA/LTA trigger algorithm

By introducing digital seismic data acquisition, lo ng-term continuous recording and archiving of seismic signals has become a demanding technical prob em. A seismic network or even a single seismic station operating continuously at hi gh sampling frequency produces an enormous amount of data, which is often difficult t o s ore (and analyze) locally or even at the recording center of a network. This situation has f orced seismologists to invent triggered seismic data acquisition. In a triggered mode, a se ismic station or a seismic network still process all incoming seismic signals in real time ( or in near-real-time) but incoming data is not stored continuously and permanently. Processing oftware a trigger algorithm serves for the detection of typical seismic signals (earth quakes, controlled source seismic signals, underground nuclear explosion signals, etc.) in the constantly present seismic noise signal. Once an assumed seismic event is detected, recordin g and storing of all incoming signals starts. It stops after trigger algorithm 'declares' the end of the seismic signal.
Risk-Limiting Real-Time Pricing for a Regional Prosumers' Electricity Network with Distributed Solar Power Generation

In this paper, we propose a novel risk-limiting real-time pricing mechanism for a regional electricity network of prosumers with distributed solar power generation. The target system is a regional electricity network that consists of many prosumers, each equipped with a battery and a renewable energy-based generator. In particular, we assume that each prosumer is in possession of a solar power generator, i.e., photovoltaic cells. In the proposed market mechanism, each prosumer sets an asking price and bids for the amount of electricity that he/she sells or buys, In addition, he/she sets an asking price and bids for a parameter to cope with the uncertainty induced by solar power generation in a dayahead market, as well. It is a characteristic of regional electricity networks of prosumers that there is a strong correlation in the solar power generation of each house within a network. A market mechanism for a regional electricity network of prosumers with distributed solar power generation should consider such characteristics. The performance of the proposed mechanism is demonstrated numerically through a simulation experiment. It outperformed a conventional realtime pricing method that does not consider uncertainty, and a method that does not involve trading of the parameter for coping with uncertainty.
A New Approach to Enumerating the Smallest Stopping Sets in LDPC Codes

A new representation of low-density parity-check (LDPC) code, named set diagram, as well as definitions of some combinatorial characteristics of LDPC codes in set diagrams is proposed in this work. Based on the proposed definition of stopping set in set diagram, this paper presents an effective algorithm of enumerating the smallest stopping set(s) and finding the stopping distance for any LDPC code with stopping distance less than eight by building a searching diagram similar to a searching tree. At the same time, the computational complexity of this algorithm is analyzed with the help of the average degrees of variable and check nodes.
How to get users to follow procedures

Three basic criteria must be met to ensure that users follow procedures: First, the procedure must have an appropriate format. Nine formats are described: narrative, step-by-step list, list with a visual aid, playscript, list of questions, flowchart, narrative flowchart, decision logic table, and decision tree. Second, the procedure must not assume knowledge the user does not have (no step left out). Third, the procedure must be fair to the user (not biased and with an equitable workload distribution).
Validating the South African Personality Inventory (SAPI): Examining green behavior and job crafting within a nomological network of personality

Personality assessment in organizations has mostly served as a tool for decision-making regarding selection and job performance. In this article the focus is shifted towards understanding the role of personality in individuals’ propensity to exhibit contemporary work-related behaviors, such as employee green behavior (EGB) and job crafting (JC), through a nomological network. From an indigenous perspective, the cultural applicability of EGB and JC was established prior to investigating the external validity of the South African Personality Inventory (SAPI). The unidimensional EGB-framework developed by Ones and Dilchert (2009) was found to have a covert and an overt component in the South African context, while the JC-model developed by Tims, Bakker, and Derks (2012) was unchanged. Within the nomological network, Positive Social-Relational Disposition did not display any predictive qualities. Conscientiousness and Negative Social-Relational Disposition were found to predict both EGB (covert) and JC. Extraversion, Openness, and Neuroticism displayed predictive qualities only within the JC-model. Further investigation of these relationships is suggested, using quantile regression.