Miracle-dz/UniFAR-FTUs huggingface dataset:
A switched optimized approach for road-departure avoidance: implementation results

We present in this contribution the design and implementation of a steering assistance control. The main goal is to avoid the lane departure in case the driver loses attention. This control has been developed to keep the vehicle's trajectory within certain bounds during the assistance intervention, while maintaining a limited torque control input. In order to achieve this goal we have employed both Lyapunov theory and LMI optimization methods.
A Comparative Study of Automatic Text Summarization System Performance

This paper provides a comparative study of commercial and academic automatic document summarization tools: Microsoft Word, SweSum, SHVOONG and Online Brevity Document Summarizer. Also, these automatic systems are compared to human summarization techniques and analyzed, aiming to reveal which automatic summary achieves the best results in comparison with the human summarization techniques. Results of the experiment show that the most high-quality automatic summary was generated by Online Brevity Document Summarizer. Key-Words: human summary, automatic summary, general methods of summarization, Microsoft Word, SweSum, SHVOONG, Online Brevity Document Summarizer
Measures for Mobile Users

Software measures are important to evaluate software properties like complexity, reusability, maintainability, effort required, etc. Collecting such data is difficult because of the lack of tools that perform acquisition automatically. It is not possible to implement a manual data collection because it is error prone and very time expensive. Moreover, developers often work in teams and sometimes in different places using laptops. These conditions require tools that collect data automatically, can work offline and merge data from different developers working in the same project. This paper presents PROM (PRO Metrics), a distributed Java based tool designed to collect automatically software measures. This tool uses a distributed architecture based on plug-ins, integrated in most popular development tools, and the SOAP communication protocol.
Dynamic Inventory Management with Learning About the Demand Distribution and Substitution Probability

Awell-known result in the Bayesian inventory management literature is: If lost sales are not observed, the Bayesian optimal inventory level is larger than the myopic inventory level (one should “stock more” to learn about the demand distribution). This result has been proven in other studies under the assumption that inventory is perishable, so the myopic inventory level is equal to the Bayesian optimal inventory level with observed lost sales. We break that equivalence by considering nonperishable inventory. We prove that with nonperishable inventory, the famous “stock more” result is often reversed to “stock less,” in that the Bayesian optimal inventory level with unobserved lost sales is lower than the myopic inventory level. We also prove that making lost sales unobservable increases the Bayesian optimal inventory level; in this specific sense, the famous “stock more” result of other studies generalizes to the case of nonperishable inventory. When the product is out of stock, a customer may accept a substitute or choose not to purchase. We incorporate learning about the probability of substitution. This reduces the Bayesian optimal inventory level in the case that lost sales are observed. Reducing the inventory level has two beneficial effects: to observe and learn more about customer substitution behavior and (for a nonperishable product) to reduce the probability of overstocking in subsequent periods. Finally, for a capacitated production-inventory system under continuous review, we derive maximum likelihood estimators (MLEs) of the demand rate and probability that customers will wait for the product. (Accepting a raincheck for delivery at some later time is a common type of substitution.) We investigate how the choice of base-stock level and production rate affect the convergence rate of these MLEs. The results reinforce those for the Bayesian, uncapacitated, periodic review system.
Gabidulin Decoding via Minimal Bases of Linearized Polynomial Modules

We show how Gabidulin codes can be decoded via parametrization by using interpolation modules over the ring of linearized polynomials with composition. Our decoding algorithm computes a list of message words that correspond to all closest codewords to a given received word. This involves the computation of a minimal basis for the interpolation module that corresponds to the received word, followed by a search through the parametrization for valid message words. Our module-theoretic approach strengthens the link between Gabidulin decoding and Reed-Solomon decoding. Two subalgorithms are presented to compute the minimal basis, one iterative, the other an extended Euclidean algorithm. Both of these subalgorithms have polynomial time complexity. The complexity order of the overall algorithm, using the parametrization, is then compared to straightforward exhaustive search as well as to chase list decoding.
Inversion of magnetotelluric data using integral equation approach with variable sensitivity domain: application to earthscope MT data

We have developed a multi-level parallel magnetotelluric (MT) integral equation based inversion program which uses variable sensitivity domain. The limited sensitivity of the data, which decreases with increasing frequency, is exploited by a receiver sensitivity domain, which also varies with frequency. We assess the effect of inverting principal, full impedance tensor, and full tensor with magnetovariational data (tipper). We first apply this method to several models and then invert the EarthScope MT data. We recover well the prominent features in the area including resistive structure associated with the Juan de Fuca slab subducting beneath the northwestern United States, the conductive zone of partially melted material above the subducting slab at the Cascade volcanic arc, conductive features in the Great Basin resulting from prior subduction and in the area of Yellowstone associated with the hot spot, and resistive areas to the east corresponding to the older and more stable cratons. Our results agree well with other publications which furthers the confidence in the inversion of the EarthScope MT project.
Exploring The Benefits From B2B Implementations Through ERP

This paper reports on research carried out in 1999-2001 on the use of e-business applications in SAPbased organisations. Structured interviews were used to collect data on eleven established organisations from a diverse range of industries. The findings are analysed according to the level of sophistication of e-business models. These early adopters of e-business show a trend towards cost reductions and administrative efficiencies from procurement and self-service applications used by customers and employees A complex case study of e-business integration with a global supplier and its corporate customers is analysed to identify specific antecedents for success. Collectively the set of case studies is used to demonstrate the increased benefits derived from an e-business architecture based on a network of ERP enabled organisations.
The liverwort Pellia endiviifolia shares microtranscriptomic traits that are common to green algae and land plants

Liverworts are the most basal group of extant land plants. Nonetheless, the molecular biology of liverworts is poorly understood. Gene expression has been studied in only one species, Marchantia polymorpha. In particular, no microRNA (miRNA) sequences from liverworts have been reported. Here, Illumina-based next-generation sequencing was employed to identify small RNAs, and analyze the transcriptome and the degradome of Pellia endiviifolia. Three hundred and eleven conserved miRNA plant families were identified, and 42 new liverwort-specific miRNAs were discovered. The RNA degradome analysis revealed that target mRNAs of only three miRNAs (miR160, miR166, and miR408) have been conserved between liverworts and other land plants. New targets were identified for the remaining conserved miRNAs. Moreover, the analysis of the degradome permitted the identification of targets for 13 novel liverwort-specific miRNAs. Interestingly, three of the liverwort microRNAs show high similarity to previously reported miRNAs from Chlamydomonas reinhardtii. This is the first observation of miRNAs that exist both in a representative alga and in the liverwort P. endiviifolia but are not present in land plants. The results of the analysis of the P. endivifolia microtranscriptome support the conclusions of previous studies that placed liverworts at the root of the land plant evolutionary tree of life.
Constraining ribosomal RNA conformational space

Despite the potential for many possible secondary-structure conformations, the native sequence of ribosomal RNA (rRNA) is able to find the correct and universally conserved core fold. This study reports a computational analysis investigating two mechanisms that appear to constrain rRNA secondary-structure conformational space: ribosomal proteins and rRNA sequence composition. The analysis was carried out by using rRNA–ribosomal protein interaction data for the Escherichia coli 16S rRNA and free energy minimization software for secondary-structure prediction. The results indicate that selection pressures on rRNA sequence composition and ribosomal protein–rRNA interaction play a key role in constraining the rRNA secondary structure to a single stable form.
TAX SYSTEMS, TAXPAYER COMPLIANCE AND SPECIFIC TAX ISSUES

This book has eight chapters. Each chapter discusses one topic related to taxation. The topics covered in this book are tax systems, taxpayer compliance, compliance costs, transfer pricing, accounting malpractices and tax issues, taxation of ecommerce, and electronic tax administration. These topics are relevant to the advanced taxation course in the under-graduate and post-graduate programs (Masters and PhD). Each topic is discussed with relevant literature. The first three chapters touch on issues and problems related to the new tax administrative system i.e the self-assessment system, which is being implemented in developed countries including Malaysia, and is now being adopted for implementation in many developing countries worldwide. Chapters 2, 3 and 4 give an insight to issues related to tax systems, taxpayer compliance and compliance costs. The other four chapters – 5, 6, 7 and 8 discuss topics that are categorised as selected tax issues. The selected tax issues include transfer pricing, accounting malpractices and tax issues, taxation of ecommerce and electronic tax administration. These issues have not been deliberated before, and it is timely that a book of this nature is published for tax authorities, researchers, students, lecturers, authorities and practitioners. Past literature and research findings are quoted to support the discussions in each chapter. The author’s own research findings in certain topics found in this book are used to support the arguments and discussions.
Long-Term Progressive Degradation of the Biological Capability of Titanium

Titanium undergoes time-dependent degradation in biological capability, or “biological aging”. It is unknown whether the biological aging of titanium occurs beyond four weeks and whether age-related changes are definitely associated with surface hydrophilicity. We therefore measured multiple biological parameters of bone marrow-derived osteoblasts cultured on newly prepared, one-month-old, three-month-old, and six-month-old acid-etched titanium surfaces, as well as the hydrophilicity of these surfaces. New surfaces were superhydrophilic with a contact angle of ddH2O of 0°, whereas old surfaces were all hydrophobic with the contact angle of around 90°. Cell attachment, cell spread, cell density, and alkaline phosphatase activity were highest on new surfaces and decreased in a time-dependent manner. These decreases persisted and remained significant for most of the biological parameters up to six-months. While the number of attached cells was negatively correlated with hydrophilicity, the other measured parameters were not. The biological capability of titanium continues to degrade up to six months of aging, but these effects are not directly associated with time-dependent reductions in hydrophilicity. A full understanding of the biological aging will help guide regulatory improvements in implant device manufacturing and develop countermeasures against this phenomenon in order to improve clinical outcomes.
RoboStudio: A visual programming environment for rapid authoring and customization of complex services on a personal service robot

Service robots for personal and domestic use are increasingly gaining momentum. Easy and efficient programming of such robots is an enormous research and commercial space that is beginning to be explored. In this paper, we present RoboStudio, a Visual Programming Environment (VPE) to program the interactive behavior of personal service robots. RoboStudio lies at the intersection of VPEs which aid in authoring the robot user interface and control logic. A novel contribution of this work is that it advances the research in authoring service applications on robotic platforms, specially for researchers who do development in decentralized multidisciplinary teams and validate their research goals through field trials. Furthermore, service robot programming environments is a novel area of research, particularly when it comes to expressing what the robot does in a declarative syntax.
New Results - Introducing Research Issues for Next Generation Java-based Smart Card Platforms

This paper introduces the issues and challenges of next generation Java-based smart card platforms. Betting on a continuous evolution towards open computing devices, next generation cards will consist in embedded Java micro-server platforms. Those platforms will be able to serve various types of services and applications thanks to two important system features: adaptability and maintainability. Two features that will have to be carefully implemented in the research agenda’s topics described in this paper: real Java for cards, cards integration in a networked world, and flexible and adaptable cards.
Analysis and differentiation of seminal plasma via polarized SERS spectroscopy

Polarized surface-enhanced Raman scattering (SERS) spectroscopy was applied for obtaining biochemical information about the seminal plasma. The effect of different laser polarizations (nonpolarized, linear-polarized, right-handed circularly polarized, and left-handed circularly polarized) on seminal plasma SERS spectroscopy was explored for the first time. The diagnostic performance in differentiating abnormal seminal plasma (n = 37) from normal seminal plasma (n = 24) was evaluated. A combination of principal component analysis (PCA) and linear discriminant analysis (LDA) was employed to develop diagnostic algorithms. Classification results of different laser polarizations demonstrated different diagnostic sensitivities and specificities, among which, left-handed circularly polarized laser excitation showed the best diagnostic result (95.8% sensitivity and 64.9% specificity). Our exploratory study demonstrated that SERS spectroscopy with left-handed circularly polarized laser excitation has the potential for becoming a new diagnostic method in semen-quality assessment.
Example‐Driven Deformations Based on Discrete Shells

Despite the huge progress made in interactive physics‐based mesh deformation, manipulating a geometrically complex mesh or posing a detailed character is still a tedious and time‐consuming task. Example‐driven methods significantly simplify the modelling process by incorporating structural or anatomical knowledge learned from example poses. However, these approaches yield counter‐intuitive, non‐physical results as soon as the shape space spanned by the example poses is left. In this paper, we propose a modelling framework that is both example‐driven and physics‐based and thereby overcomes the limitations of both approaches. Based on an extension of the discrete shell energy we derive mesh deformation and mesh interpolation techniques that can be seamlessly combined into a simple and flexible mesh‐based inverse kinematics system.
Animating articulated characters using wiggly splines

We propose a new framework for spacetime optimization that can generate artistic motion with a long planning horizon for complex virtual characters. The scheme can be used for generating general types of motion and neither requires motion capture data nor an initial motion that satisfies the constraints. Our modeling of the spacetime optimization combines linearized dynamics and a novel warping scheme for articulated characters. We show that the optimal motions can be described using a combination of vibration modes, wiggly splines, and our warping scheme. This enables us to restrict the optimization to low-dimensional spaces of explicitly parametrized motions. Thereby the computation of an optimal motion is reduced to a low-dimensional non-linear least squares problem, which can be solved with standard solvers. We show examples of motions created by specifying only a few constraints for positions and velocities.
Reactive Boundary Conditions as Limits of Interaction Potentials for Brownian and Langevin Dynamics

A popular approach to modeling bimolecular reactions between diffusing molecules is through the use of reactive boundary conditions. One common model is the Smoluchowski partial adsorption condition, which uses a Robin boundary condition in the separation coordinate between two possible reactants. This boundary condition can be interpreted as an idealization of a reactive interaction potential model, in which a potential barrier must be surmounted before reactions can occur. In this work we show how the reactive boundary condition arises as the limit of an interaction potential encoding a steep barrier within a shrinking region in the particle separation, where molecules react instantly upon reaching the peak of the barrier. The limiting boundary condition is derived by the method of matched asymptotic expansions, and is shown to depend critically on the relative rate of increase of the barrier height as the width of the potential is decreased. Limiting boundary conditions for the same interaction potential in both the overdamped Fokker--Planck equation (Brownian dynamics) and the Kramers equation (Langevin dynamics) are investigated. It is shown that different scalings are required in the two models to recover reactive boundary conditions that are consistent in the high friction limit (where the Kramers equation solution converges to the solution of the Fokker--Planck equation).
Involvement of Toll-like receptor 4 signaling in interferon-gamma production and antitumor effect by streptococcal agent OK-432.

BACKGROUND The streptococcal agent OK-432 has been used for immunotherapy of head and neck cancer, among other malignancies, but its mechanism of action is unknown. Because the Toll-like receptor 4 (TLR4)/MD-2 complex is important in enabling the mammalian immune system to recognize bacterial components, we investigated whether expression of the TLR4 and MD-2 genes is associated with OK-432-induced anticancer immunity. METHODS Peripheral blood mononuclear cells (PBMCs) from 28 patients with head and neck cancer were analyzed for TLR4 and MD-2 mRNA expression by reverse transcription-polymerase chain reaction (RT-PCR) analysis. PBMCs were treated in vitro with OK-432 or with OK-PSA (a lipoteichoic-acid-related molecule that is an active component of OK-432), and interferon-gamma (IFN-gamma) mRNA expression, an immune response measure, was analyzed by RT-PCR. Patient sera collected 24 hours after OK-432 administration were examined for IFN-gamma protein using an enzyme-linked immunosorbent assay. Lewis lung carcinoma-bearing wild-type C57BL/6 and TLR4-deficient mice (four mice per group) received intraperitoneal injections of OK-432, and tumor volumes and sera IFN-gamma levels were measured over time. All statistical tests were two-sided. RESULTS Twenty patients expressed both TLR4 and MD-2. Expression of TLR4 and MD-2 genes was associated with the in vivo IFN-gamma induction in 19 patients administered OK-432 (Fisher's exact test P<.001). Although both OK-432 and OK-PSA induced IFN-gamma expression from PBMCs in vitro, expression of TLR4 and MD-2 was associated only with IFN-gamma expression induced by OK-PSA (P<.001). In vivo intraperitoneal administration of OK-432 resulted in an increase of IFN-gamma in sera from wild-type mice but not in sera from TLR4-deficient mice. Tumors in wild-type mice treated with OK-432 were statistically significantly smaller than those in mice treated with saline (P =.007). By contrast, in TLR4-deficient mice, there was no difference in tumor volume between the two treatment groups. CONCLUSIONS TLR4 and MD-2 may mediate OK-432-induced anticancer immunity.
Female Brass Musicians Address Gender Parity, Gender Equity, and Sexual Harassment: A Preliminary Report on Data from the Brass Bodies Study

The Brass Bodies Study is an exploratory cross-sectional study designed to describe and understand the experience of female brass players. This report discusses selected data from close-ended and open-ended responses to questions regarding gender equity, parity, and sexual harassment within a web-based survey that launched the first phase of the study. The survey queried subjects’ physical changes to their brass playing due to various catalysts: life-cycle events; injury, illness, harassment, mental health, racism, and homophobia. The survey instrument further queried whether subjects received support about these changes and the effectiveness of support. The following report discusses survey responses to questions about gender parity and changes to brass playing due to sexual harassment. Additional qualitative data were generated from open-ended questions in the survey and were qualitatively coded and thematically presented to supplement the descriptive statistics provided. The information presented explores and defines salient items and themes of a population that is under researched with the hopes of generating hypotheses for continued research.
Soft Computing Techniques in Cyber Defense

intelligence is a technology to make the machines human compatible. Various techniques like- heuristic search (Generate and test, Hill climbing, BFS, DFS, Problem reduction, constraint satisfaction, means-ends analysis etc.), game playing, understanding, planning, NLP, Learning, commonsense, predictions and actions, and expert systems are there to make the system intelligent. This paper primarily focuses on the problem of malicious objects in the cyber space and discusses the usage of different AI techniques to overcome the mentioned problem. Every day the information stored in the computer and the information in transit faces threats due to malicious objects which further leads to a big loss. This paper discusses the possibilities to incorporate the AI techniques to analyze the data and finding and restricting the malicious objects. To make a proactive cyber defense system how the system log can be explored to find the malicious object and how the AI techniques like heuristic search can help in this process is discussed. This paper also discusses about the uncertainty of attacks and gives some views to implement AI techniques such as probability and Bayes" theorem, certainty factors and rule based system, Bayesian networks, fuzzy logic etc.