Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of albumin–bilirubin grade on survival in patients with hepatocellular carcinoma who received sorafenib: An analysis using time‐dependent receiver operating characteristic

Albumin–bilirubin (ALBI) grade was developed as a new method to assess hepatic function. Sorafenib has been confirmed to be effective in improving survival in patients with advanced hepatocellular carcinoma (HCC). In this study, we investigated the impact of ALBI grade versus Child–Pugh classification on survival in HCC patients who received sorafenib.
Open Graph Interface for Uniform Access to E-learning Resources

The proposed model provides a method for uniform access to the distributed e-learning resources of the educational institutions and other e-learning providers, to facilitate the developers to build powerful e-learning apps for any platform. The institutions need not provide their own web platform for e-learning, just access to its resources with Open Graph Protocol in JSON format to make it simple for the educationists to build powerful e-learning apps.
Image preparation for 3D LCD

The simplicity and inherent robustness of the Philips 3D- LCD, both in manufacturing and usage, make it highly suitable for a cost effective, mass-market autostereoscopic display. For successful adoption in a wide range of applications, efficient 3D image preparation is very important. A generic expression for the relation between LCD pixels and the multiple perspective views is derived that can be used in the image preparation for different 3D-LCD systems. This paper then describes two approaches to 3D image preparation. One is an intuitive graphical user interface and the second is at source code programming level as an extension to the existing OpenGL 3D graphics API. Using the latter we examine the computer overhead of the 3D image preparation process. © (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Simulation-Based Training in Anesthesia Crisis Resource Management (ACRM): A Decade of Experience

Several gaps exist in the training of clinicians in health care domains, such as anesthesiology, that have the cognitive profile of complexity and dynamism. These features are shared with other industries such as commercial aviation. Training for cockpit crews on Crew Resource Management (CRM) emphasizes decision-making and teamwork principles. The authors created a simulation-based curriculum (ACRM) for anesthesiology based on principles of CRM in aviation. The training philosophy adapted to health care is one of training single-discipline crews to work in teams. The ACRM curriculum involves highly realistic simulation scenarios requiring complex decision making and interaction with multiple personnel. Scenarios are each followed by a detailed debriefing using videotapes of the simulation session. ACRM has been adopted at major health care institutions around the world. Special training for instructors is provided, especially concerning debriefing. The ACRM approach has been extended to a wide variety of other health care domains that involve complexity and dynamism, such as emergency and trauma medicine, intensive care, and cardiac arrest response teams. Simulation-based training based on CRM principles is expected to become routine in many health care settings in the coming decade.
Supervisory hybrid systems

Supervisory hybrid systems are systems generating a mixture of continuous-valued and discrete-valued signals. This systems paradigm is particularly useful in modeling applications where high-level decision making is used to supervise process behavior. Hybrid system methodologies are also applicable to switched systems where the system switches between various setpoints or operational modes to extend its effective operating range. Hybrid systems, therefore, embrace a diverse set of applications. There has been considerable activity in the area of hybrid systems theory, and this article provides an introduction to some of the basic concepts and trends in this emergent field. The term hybrid refers to a mixing of two fundamentally different types of objects or methods. The paper deals with supervisory hybrid systems. Supervisory hybrid systems are systems that combine discrete event and continuous-valued dynamics. The article is organized as follows. We first provide an example of a hybrid system, to be used throughout as a pedagogical tool illustrating various concepts in hybrid systems theory. We then discuss modeling frameworks for hybrid systems, paying specific attention to the hybrid automaton. Not only may the system have a hybrid character, but the specifications on desired system behaviors may also be hybrid. The article also discusses specification logics that express system requirements on both the discrete and continuous states of the system. The article continues with a survey of current methods and concepts used to verify or validate desired system behaviors, and concludes with a survey of current methods for hybrid control system synthesis.
Interference with the LAL Test and How to Address It

Introduction A majority of the substances tested for endotoxin interfere with the LAL test to some degree (the obvious exception being water samples). In a study reported more than 20 years ago, of 333 drug products tested, 236 (71%) interfered with the test prior to any dilution or treatment. Fortunately, the LAL test is usually more sensitive than necessary to detect the endotoxin limit for a given product or material. It is often possible to overcome interference by diluting the sample to a point at which the interfering factor ceases to affect the test, but at which the endotoxin limit concentration is still detectable. The greatest dilution at which the endotoxin limit can be detected is the maximum valid dilution (MVD). (MVDs and their calculation are discussed in detail in a previous edition of the LAL Update.) Dilution is the simplest and most widely used technique for overcoming interference, and it is effective in the majority of cases. The MVD (i.e. the scope for dilution) can be increased by changing to a more sensitive LAL reagent or test method. Dilution should be tried before other methods of addressing interference.
Language-parametric Techniques for Language-Specific Editors

The goal of this dissertation is to develop techniques that simplify the implementation of tool support for new languages. More specifically, we focus on language-parametric solutions for the implementation of language-specific editor support. In the first part of this dissertation we investigate generic techniques to recover from syntax errors that occur during interactive editing. In the second part we look into language-parametric techniques for the implementation of refactoring tools.
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZATION ON A HETEROGENEOUS DATA SET

Recognizing Faces helps to name the various subjects present in the image. This work focuses on labeling faces on an image which includes faces of humans being of various age group (heterogeneous set ). Principal component analysis concentrates on finds the mean of the data set and subtracts the mean value from the data set with an intention to normalize that data. Normalization with respect to image is the removal of common features from the data set. This work brings in the novel idea of deploying the median another measure of central tendency for normalization rather than mean. The above work was implemented using matlab. Results show that Median is the best measure for normalization for a heterogeneous data set which gives raise to outliers.
Modelling conditional probability distributions for periodic variables

Most of the common techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce two novel techniques for tackling such problems, and investigate their performance using synthetic data. We then apply these techniques to the problem of extracting the distribution of wind vector directions from radar scatterometer data gathered by a remote-sensing satellite.
Applications of PCA and SVM-PSO Based Real-Time Face Recognition System

This paper incorporates principal component analysis (PCA) with support vector machine-particle swarm optimization (SVM-PSO) for developing real-time face recognition systems. The integrated scheme aims to adopt the SVM-PSO method to improve the validity of PCA based image recognition systems on dynamically visual perception. The face recognition for most human-robot interaction applications is accomplished by PCA based method because of its dimensionality reduction. However, PCA based systems are only suitable for processing the faces with the same face expressions and/or under the same view directions. Since the facial feature selection process can be considered as a problem of global combinatorial optimization in machine learning, the SVM-PSO is usually used as an optimal classifier of the system. In this paper, the PSO is used to implement a feature selection, and the SVMs serve as fitness functions of the PSO for classification problems. Experimental results demonstrate that the proposed method simplifies features effectively and obtains higher classification accuracy.
Multimedia Over IP and Wireless Networks: Compression, Networking, and Systems

CH1: MULTIMEDIA NETWORKING AND COMMUNICATION / CH2: ERROR RESILIENT VIDEO / CH3: ERROR RESILIENT AUDIO / CH4: BANDWIDTH ADAPTATION MECHANISMS / CH5: SCALABLE VIDEO CODING FOR ADAPTIVE STREAMING APPLICATIONS / CH6: SCALABLE AUDIO CODING / CH7: CHANNEL PROTECTION FUNDAMENTALS / CH8: CHANNEL MODELING AND ANALYSIS FOR THE INTERNET / CH9: FORWARD ERROR CONTROL / CH10: NETWORK-ADAPTIVE MEDIA TRANSPORT / CH11: MAC-LAYER WIRELESS CHANNEL MODELS / CH12: CROSS-LAYER WIRELESS MULTIMEDIA / CH13: QOS SUPPORT IN WIRELESS ENVIRONMENTS / CH14: STREAMING MEDIA ON DEMAND / CH15: REAL TIME COMMUNICATION / CH16: ADAPTIVE MEDIA PLAYOUT / CH17: PATH DIVERSITY / CH18: DISTRIBUTED VIDEO CODING AND APPLICATIONS / CH19: MEDIA OVERLAYS
The Internet and computer enhanced foreign language learning and intercultural communication

The present study aims at discussing the potential of the Internet and computer-mediated artefacts for education. The understanding of digitalised and technology utilised education, which is the current trend of our age, is highlighted and some computer-mediated artefacts such as the so called modular object-oriented dynamic learning environment (MOODLE), the online virtual reality chatting game Second Life, and some others are introduced in a unified connection to show how they can be practically integrated in education, and how they can foster foreign language learning and practice, and intercultural communication. It is emphasised that the current situation of the physical conditions, and also the needs, interests and abilities of the new-age learners should be considered more carefully to give education a correct direction in the future. Keywords: The Internet, computer-mediated artefacts, intercultural communication, FL learning
HYBRID REVERBERATION ALGORITHM USING TRUNCATED IMPULSE RESPONSE CONVOLUTION AND RECURSIVE FILTERING

of a Master’s Research Project at the University of Miami. Research project supervised by Professor William Pirkle. No. of pages in text: 79 Artificial reverberation can be developed by convolving an input signal with the specific impulse response of an acoustic space. This computationally exhaustive method achieves superb reverberation, but is often abandoned for simpler filtering methods. Since it is only the length of the impulse response that determines the computational cost and resolution, a new hybrid algorithm is developed that borrows from the original impulse response easing the computational burden. A truncated impulse response can still convey the rich energy of the space while a digital filter bank can model the late echoes and reverberation tail. This more efficient algorithm will use a reduced length block convolution and recursive filter network to achieve similar high quality reverberation.
Neuroimagery of language control mechanism and semantic processing in the bilingual brain with a special emphasis on the effects of second language proficiency

Clinical and experimental findings on the bilingualism support two fundamental assumptions: 1) languages mastered by a bilingual use the same neural substrates, and therefore a common brain network; 2) a control mechanism is needed to avoid mixing between the languages. In addition, it seems that these neural substrates are modulated by the proficiency of the languages. This thesis proposes to clarify some aspects related to the influence of the used language (first or second), as well as to the second language proficiency, on the brain mechanisms involved in producing and understanding language. To this end, this work examines two aspects on a population of translators with the help of functional magnetic resonance imaging (fMRI): a) the dissociation between neural substrates involved in language selection and in cognitive control; b) neural substrates involved in written word comprehension, with special emphasis on semantic processing and on early word recognition during visual processing.
SI-Studio – environment for SI circuits design automation

The current work is an answer to the problem of designing switched-current (SI) circuits, which is usually a complex issue in the ﬁeld of microelectronics. The mentioned task is a source of many mistakes and takes a lot of time for designers, therefore authors of the article decided to propose a software solution. This article presents an environment for design automation of analogue circuits in the switched currents technique. It points out the utility advantages of the described tools, which make the work of a VLSI designer much easier, moreover oﬀering a possibility to parameterise the design process considering power consumption, chip area usage and its working speed. It also presents results of an automatic generation of a ﬁlter pair circuit, as well as a DCT circuit – automatically generated with the proposed SI-Studio software tools.
Columbia River Treaty 2014/2024: Monte Carlo Simulation in HEC-WAT

The Flood Risk Analysis (FRA) compute option is an enhancement to the Hydrologic Engineering Center's (HEC) Watershed Analysis Tool (HEC-WAT) that allows the user to perform risk analysis using a Monte Carlo simulation approach. Hydrologic inputs as well as parameters of the models in the HEC-WAT program sequence can be defined as random variables to represent uncertainty. In order to separately consider epistemic and aleatoric uncertainty (knowledge uncertainty and natural variability), the HEC-WAT sequence of programs is executed for a large random sample of flood events, which are clustered into realizations. Random variables with epistemic uncertainty vary from one realization to another, while variables driven by aleatoric uncertainty are re-sampled for every flood event in a realization. The Monte Carlo nature makes FRA simulations (with thousands of flood events) much more computationally intensive than deterministic HEC-WAT simulations, and so not all results from all models need to be saved nor even the programs/models executed for every randomly sampled flood event. Computation of an event can be aborted at any step of the program sequence according to user-defined criteria. Conversely, interesting events can be tagged so that detailed results are saved. Interesting results can be replicated, modified or analyzed in more detail. In order to achieve repeatability, random number generators throughout the FRA compute are seeded in a deterministic, pseudo-random hierarchical fashion. Monte Carlo iteration continues until the mean or a quantile of one or more userdefined variables chosen from the sequence of models converge within certain tolerance. At the back end of a simulation, statistical summaries are assembled by the Performance Metrics plug-in. Data is collected throughout a simulation to estimate variables of interest such as average annual damage, or annual exceedance probability.
Programmable switched current filters using MOSFET-only current dividers

A new technique to achieve switched current filters is presented. The basic elements of the filters are operational amplifiers, switches, MOS transistors and grounded capacitors. The use of MOSFET-only current dividers allows digitally programming of the coefficients of the filter transfer function. User programmable analog filtering in digital CMOS technology and, particularly, in sea-of-gates is the main envisaged application of the proposed technique.
The Adipokine Profile and the Cardiometabolic Risk in Non-Obese Young Adults

Background: Young, non-obese adults are considered at low risk for cardiometabolic diseases, although markers of an unhealthy metabolic state are not uncommon findings in this population. Adipose tissue dysfunction, evaluated by the adipokine profile, significantly influences lipid and glucose metabolism and low-grade systemic inflammation. Aims: To determine the relation between adipose tissue dysfunction and the already confirmed cardiometabolic risk indicators, including the atherogenic index of plasma, lipid accumulation product, homeostatic model assessment of insulin resistance, and the low-grade inflammation markers, namely, interleukin 6 and high-sensitivity C-reactive protein. Study Design: Cross-sectional study. Methods: We recruited 93 non-obese, healthy young adults. Anthropometric, lipid profile, inflammatory markers, and adipokines were measured. An abnormal adipokine profile (high leptin-to-adiponectin ratio) was considered as a marker of a dysfunctional adipose tissue. The correlation between the leptin-to-adiponectin ratio and the anthropometric measurements, atherogenic index of plasma, lipid accumulation product, homeostatic model assessment of insulin resistance, interleukin 6, and high-sensitivity C-reactive protein was determined. Results: We found a direct correlation between the abnormal adipokine profile and the cardiometabolic risk indicators mentioned above, except for the low-grade inflammatory markers. In the regression model derived from our data, the leptin-to-adiponectin ratio was best correlated with the unfavorable plasma lipid profile, as estimated by the atherogenic index of plasma (r=0.097, confidence interval=0.015-0.180, p=0.021). A significantly higher leptin-to-adiponectin ratio was found in the insulin-resistant group (p=0.012) and in the highest lipid accumulation product quartile (p=0.032). Conclusion: In a non-obese young population, the high rate of leptin-adiponectin may be a good predictor of cardiovascular and metabolic risk assessment.
A row-action projection algorithm for adaptive filtering

A fast, stable adaptive algorithm, the row-action projection (RAP) algorithm, that is amenable to a wide range of signal processing applications is presented. Many problems in signal processing can be formulated as a regression parameter estimation problem, yielding a system of linear equations which is generally inconsistent and ill-conditioned. Problems formulated in this way include autoregressive speech modeling, spectrum estimation, array processing, and channel equalization. The algorithm iteratively estimates the unknown coefficients by using each equation of the system more than once. Simulation results are presented that show the stable performance of the RAP algorithm. <<ETX>>
Phenotypic differences and similarities of monozygotic twins with maturity‐onset diabetes of the young type 5

Here, we report phenotypic differences and similarities of monozygotic twins with maturity‐onset diabetes of the young type 5 harboring a partial deletion of chromosome 17q12. The proband and her twin sister manifested complete aplasia and marked hypoplasia, respectively, of the body and tail of the pancreas. Whereas both twins showed marked hypoplasia of the right kidney and multiple cysts in both kidneys, only the proband's sister showed hydronephrosis in the left kidney. The proband had profound defects in insulin and glucagon secretion, as well as mild renal dysfunction, whereas her sister had pronounced renal dysfunction accompanied by mild defects in insulin and glucagon secretion. Both twins manifested hypomagnesemia and hyperuricemia, but no apparent liver dysfunction or intellectual disability. The severity of renal and pancreatic defects differed between monozygotic twins with maturity‐onset diabetes of the young type 5, suggesting that the phenotypes of this condition are determined not solely by genetic factors.
Effect of Disease Activity at Three and Six Months After Diagnosis on Long‐Term Outcomes in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis

The treatment of antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) aims to suppress disease activity and prevent subsequent disease flare. This study sought to explore the association of early disease control with long‐term outcomes to validate early disease control as an end point for future clinical trials in AAV.
Comparing Self-paced and Cohort-based Online Courses for Teachers

Abstract The study investigated whether online professional development courses with different levels of support have different impacts on teacher outcomes. Variations of an online course for middle school algebra teachers were created for four experimental conditions. One was a highly supported condition, with a math education instructor, an online facilitator, and asynchronous peer interactions among participants available as participants worked through the course together. Another was a self paced condition, in which none of the supports were available. The other two conditions provided intermediate levels of support. All conditions showed significant impact on teachers’ mathematical understanding, pedagogical beliefs, and instructional practices. Surprisingly, the positive outcomes were comparable across all four conditions. Further research is needed to determine whether this finding is limited to self selected teachers, the specifics of this online course, or other factors that limit generalizability.
Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine

BioGears is an open‐source, lumped parameter, full‐body human physiology engine. Its purpose is to provide realistic and comprehensive simulations for medical training, research, and education. BioGears incorporates a physiologically based pharmacokinetic/pharmacodynamic (PK/PD) model that is designed to be applicable to a diversity of drug classes and patients and is extensible to future drugs. In addition, BioGears also supports drug interactions with various patient insults and interventions allowing for a realistic research framework and accurate dose‐patient responses. This tutorial will demonstrate how the generic BioGears PK/PD model can be extended to a new substance for prediction of drug administration outcomes.
An 8-bit microcomputer with analog subsystems for implantable biomedical applications

A description is presented of a single-chip, microcomputer-based pacemaker system in which high-level analog functions are integrated on the same IC as a 8-bit microcomputer and a DC-DC converter. Low voltage and low current techniques are used, as well as circuitry to compensate for any long-term drift of transistor characteristics. Each functional block is programmable and can therefore be used in a variety of other implantable, biomedical applications. <<ETX>>
The control for the disturbance in the system with time delay

The control for a disturbance adding to the input side of a plant in a system with output time delay is discussed. We aim to achieve a new approach to control the disturbance more effectively based on Smith predictor control. To obtain the disturbance information, the disturbance estimate observer is proposed. Simulation of the disturbance observer has been conducted and the characteristics of the method using the observer have been evaluated.