Miracle-dz/UniFAR-FTUs huggingface dataset:
A Robotic Model (ROBI) of Autonomous Bicycle System

The authors have applied robotics based approach in formulating the generalized dynamic equations of motion of a bicycle system. The developed model is considerably more comprehensive than any of the existing models. The model formulation considers a bicycle system to be composed of three rigid bodies connected by revolute joints. The presented model facilitates study of various parameters of motion namely- lean, steer, angular speed, lean-rate, steer- rate, lean-torque, steer-torque, speed-torque, inertial forces, coriolis and centrifugal forces, gravity forces, kinetic energy, potential energy and total energy of various rigid body parts forming the system. The model equations are verified by simulation in MATLAB for the bicycle's behavior when running autonomously.
Tax systems and tax reforms in Europe

Part One: A General Picture of European Tax Systems and the Main Topics in Tax Reforms 1. A Comparative View of Selected European Countries Luca Gandullia 2. Rationale and Open Issues of more Radical Reforms Luigi Bernardi 3. Public Finance and Political Economies in Tax Design and Reforms Paola Profeta 4. Reducing Fiscal Pressure Under the Stability Pact Fedele De Novellis and Salvatore Parlato Part Two: National Case Studies of European Tax Systems and Tax Reforms Luca Gandullia Co-Editor 5. France Simona Scabrosetti 6. Germany Giorgia C. Maffini 7. Ireland Alessandro Sommacal 8. Italy Luigi Bernardi 9. Spain Davide Tondani 10. The Netherlands Graziano Abrate 11. The United Kingdom Giuseppe Migali
Abnormal angiogenesis but intact hematopoietic potential in TGF‐β type I receptor‐deficient mice

Deletion of the transforming growth factor β1 (TGF‐β1) gene in mice has previously suggested that it regulates both hematopoiesis and angiogenesis. To define the function of TGF‐β more precisely, we inactivated the TGF‐β type I receptor (TβRI) gene by gene targeting. Mice lacking TβRI die at midgestation, exhibiting severe defects in vascular development of the yolk sac and placenta, and an absence of circulating red blood cells. However, despite obvious anemia in the TβRI−/− yolk sacs, clonogenic assays on yolk sac‐derived hematopoietic precursors in vitro revealed that TβRI−/− mice exhibit normal hematopoietic potential compared with wild‐type and heterozygous siblings. Endothelial cells derived from TβRI‐deficient embryos show enhanced cell proliferation, improper migratory behavior and impaired fibronectin production in vitro, defects that are associated with the vascular defects seen in vivo. We thus demonstrate here that, while TβRI is crucial for the function of TGF‐β during vascular development and can not be compensated for by the activin receptor‐like kinase‐1 (ALK‐1), functional hematopoiesis and development of hematopoietic progenitors is not dependent on TGF‐β signaling via TβRI.
The Comparative Study of NHPP Half-Logistic Distribution Software Reliability Model using the Perspective of Learning Effects

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective have been studied using the NHPP software reliability models. The finite failure non-homogeneous Poisson process models presented and want to use half-logistic distribution as the lifetime distribution which used to statistical process. Software error detection techniques known in advance, but influencing factors for considering the autonomous errors-detected factor and learning factors ,by prior experience, to find precisely the error factor setting up the testing manager is presented on comparing the problem. The general result, case of the learning factor is greater than automatic error is efficient model, but, when applied to halfLogistic distribution model, case of autonomous errors-detected factor greater learning factor is efficient. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method were made, after the efficiency of the data through trend analysis, model selection was performed using the mean square error and coefficient of determination.
Cyanamide Potentiates the Ethanol-Induced Impairment of Receptor-Mediated Endocytosis in a Recombinant Hepatic Cell Line Expressing Alcohol Dehydrogenase Activity

Ethanol administration has been shown to alter receptor-mediated endocytosis in the liver. We have developed a recombinant hepatic cell line stably transfected with murine alcohol dehydrogenase cDNA to serve as an in vitro model to investigate these ethanol-induced impairments. In the present study, transfected cells were maintained in the absence or presence of 25 mM ethanol for 7 days, and alterations in endocytosis by the asialoglycoprotein receptor were determined. The role of acetaldehyde in this dysfunction was also examined by inclusion of the aldehyde dehydrogenase inhibitor, cyanamide. Our results showed that ethanol metabolism impaired internalization of asialoorosomucoid, a ligand for the asialoglycoprotein receptor. The addition of cyanamide potentiated the ethanol-induced defect in internalization and also impaired degradation of the ligand in the presence of ethanol. These results indicate that the ethanol-induced impairment in endocytosis is exacerbated by the inhibition of aldehyde dehydrogenase, suggesting the involvement of acetaldehyde in this dysfunction.
Assessing the cepstrum-based acoustic feedback cancellation method for short acoustic paths

Acoustic feedback limits the maximum stable gain of sound reinforcement systems. Acoustic feedback cancellation methods that use the traditional gradient-based or least-squares-based adaptive filtering algorithms present a bias in the feedback path estimate if no decorrelation algorithm is used. This work evaluates the recently proposed AFC-CE method, which estimates the feedback path impulse response from the cepstrum of the error signal, in a situation of short acoustic paths such as the ones that occur in hearing aid applications. Simulation results showed that the AFC-CE method is able to increase the maximum stable gain by 251 dB while keeping a good sound quality.
Estimation of a Censored Demand System in Stratified Sampling: An Analysis of Mexican Meat Demand at the Table Cut Level (PowerPoint)

Evidence of meat trade in the form of table cuts suggests that consumer preferences and tastes vary across meat cuts. Unlike previous studies, this paper estimates demand elasticities at the table cut level from a Mexican survey of household incomes and expenditures, which is a stratified sample. The study uses the two-step estimation of a censored demand system proposed by Shonkwiler and Yen (1999) but incorporates stratification variables into the estimation procedure. Parameter estimates are reported and its standard errors are approximated by using the bootstrap procedure.
Fractal mobile/immobile solute transport

A fractal mobile/immobile model for solute transport assumes power law waiting times in the immobile zone, leading to a fractional time derivative in the model equations. The equations are equivalent to previous models of mobile/immobile transport with power law memory functions and are the limiting equations that govern continuous time random walks with heavy tailed random waiting times. The solution is gained by performing an integral transform on the solution of any boundary value problem for transport in the absence of an immobile phase. In this regard, the output from a multidimensional numerical model can be transformed to include the effect of a fractal immobile phase. The solutions capture the anomalous behavior of tracer plumes in heterogeneous aquifers, including power law breakthrough curves at late time, and power law decline in the measured mobile mass. The MADE site mobile tritium mass decline is consistent with a fractional time derivative of order γ = 0.33, while Haggerty et al.'s [2002] stream tracer test is well modeled by a fractional time derivative of order γ = 0.3.
The Economics Of Energy Efficiency: Barriers to Cost-Effective Investment

Contents: Preface 1. Introduction 2. Understanding Barriers to Energy Efficiency 3. Energy Costs - Why Bother? Barriers to Energy Efficiency in the German Higher Education Sector 4. Leaving Money on the Floor: Barriers to Energy Efficiency in the UK Higher Education Sector 5. Standing on a Burning Platform: Barriers to Energy Efficiency in the UK Brewing Industry 6. Production Must Go On: Barriers to Energy Efficiency in the Irish Mechanical Engineering Industry 7. Regulations are not Enough: Barriers to Energy Efficiency in the UK Construction Industry 8. Barrier Busting: Overcoming Barriers to Energy Efficiency Index
A Construction of Entropic Vectors

Abstract— The problem of determining the region of entropic vectors is a central one in information theory. Recently, there has been a great deal of interest in the development of nonShannon information inequalities, which provide outer bounds to the aforementioned region; however, there has been less recent work on developing inner bounds. This paper develops an inner bound that applies to any number of random variables and which is tight for 2 and 3 random variables (the only cases where the entropy region is known). The construction is based on probability distributions generated by a lattice. The region is shown to be a polytope generated by a set of linear inequalities. It can therefore be used to compute an inner bound on the information-theoretic capacity region for a wide class of network problems using linear programming.
Enriching a Treebank to Investigate Relative Clause Extraposition in German

I describe the construction of a corpus for research on relative clause extraposition in German based on the treebank TüBa-D/Z. I also define an annotation scheme for the relations between relative clauses and their antecedents which is added as a second annotation level to the syntactic trees. This additional annotation level allows for a direct representation of the relevant parts of the relative construction and also serves as a locus for the annotation of additional features which are partly automatically derived from the underlying treebank and partly added manually. Finally, I also report on the results of two pilot studies using this enriched treebank. The first study tests claims made in the theoretical literature on relative clause extraposition with regard to syntactic locality, definiteness, and restrictiveness. It shows that although the theoretical claims often go in the right direction, they go too far by positing categorical constraints that are not supported by the corpus data and thus underestimate the complexity of the data. The second pilot study goes one step in the direction of taking this complexity into account by demonstrating the potential of the enriched treebank for building a multivariate model of relative clause extraposition as a syntactic alternation.
Smart proxying: An optimal strategy for improving battery life of mobile devices

Improving energy efficiency of mobile devices is one of the main challenges to extend the battery life. The Wireless Network Interface Card (WNIC) or 3G is usually considered as primary source of energy consumption. To reduce the energy consumption, different proxying schemes have been proposed in literature mostly focusing on increasing WNIC idle periods through traffic shaping, reducing number of bits transmitted/received through compression techniques and putting WNIC or even the mobile device itself into sleep mode whenever possible. This paper presents the possible smart proxying schemes for mobile devices and particularly focuses on the Network Connectivity Proxy (NCP) which impersonates the mobile devices during their sleep periods and maintains their network presence. Till now the proxying schemes have only been considered for static networks without taking into account the mobility of mobile devices. This paper proposes possible proxy architectural designs in order to support host's mobility. Further, challenges and issues with each architectural design and possible solutions to tackle with those challenges have also been addressed.
Recipe Recommendation Method by Considering the User's Preference and Ingredient Quantity of Target Recipe

There are many websites and researches that invoke cooking recipe recommendation. However, these websites present cooking recipes on the basis of entry date, access frequency, or the recipe's user ratings. They do not reflect the user's personal preferences. We have proposed a recipe recommendation method that is based on the user's food preferences. For extracting the user's food preferences, we use his/her recipe browsing and cooking history. In our previous work, we consider only existence of non-existence of each ingredient in the cooking recipe for extracting the preferences. In order to reflect the truly user's preferences, we propose a scoring method of cooking recipes based on user's food preferences and the quantity of the ingredient in a recipe.
Comparison of different blood pressure indices for the prediction of prevalent diabetic nephropathy in a sub-Saharan African population with type 2 diabetes

Background The association between blood pressure (BP) and diabetic kidney diseases in Africans has been less well investigated. We assessed and compared the strength of the association and discriminatory capability of systolic (SBP), diastolic (DBP) BP, pulse pressure (PP) and mean arterial blood pressure (MAP) for nephropathy risk in sub-Saharan Africans with type 2 diabetes. Methods Participants were 420 consecutive individuals (49% men) with type 2 diabetes receiving chronic care in two main referral centres in the two major cities of Cameroon. Logistic regression models were used to compute the odd ratio (OR) and 95% confidence interval (95% CI) for a standard deviation (SD) higher level of SBP (25 mmHg), DBP (13), PP (18) and MAP (16) with nephropathy risk. Discrimination was assessed and compared with c-statistics and relative integrated discrimination improvement (RIDI, %). Results The adjusted OR (95% CI) for nephropathy with each SD higher BP variable were: 1.45 (1.15-1.84) for SBP, 1.33 (1.06-1.66) for DBP, 1.35 (1.06-1.71) for PP and 1.42 (1.13-1.78) for MAP. C-statistic comparison showed no difference in discrimination of models with each of the BP variables (p-values ≥ 0.69 for c-statistics comparison). However, RIDI statistic always showed and enhancement in models discrimination when other BP variables were replaced with SBP, although such an enhancement was marginal for MAP. Using BP combination modestly improved models? discrimination. Conclusion SBP was the best predictor of prevalent nephropathy in this population, while DBP was the less effective. This may have implication for kidney disease risk stratification and protection.
TEXT ANALYTIC TOOLS FOR THE COGNITVE DIAGNOSIS OF STUDENT WRITINGS

In C. Reading (Ed.), Data and context in statistics education: Towards an evidence-based society. Proceedings of the Eighth International Conference on Teaching Statistics (ICOTS8, July, 2010), Ljubljana, Slovenia. Voorburg, The Netherlands: International Statistical Institute. www.stat.auckland.ac. nz/~iase/publications.php [© 2010 ISI/IASE] TEXT ANALYTIC TOOLS FOR THE COGNITVE DIAGNOSIS OF STUDENT
Towards JIT compilation for IO language

IO [6] is a relatively new pure object-oriented language, providing dynamic features comparable with popular scripting languages like Python or Ruby. IO has simple but flexible syntax, allowing for metaprogramming at the syntax tree level. Some aspects of the syntax, such as operator and assignment reshuffling, make IO source code feel natural. Availability of runtime code modification and simple grammar makes IO a good choice as a dynamic programming language research vehicle. In this work we describe our approach to dynamic compilation of programs in IO. Inline caching and speculative inlining provide high performance benefits if the program behavior is stable. We explore programs with multiple or alternating behaviors, and propose multi-version speculative inlining with fine-grained invalidation.
Estimating Lower Bounds on the Length of Protein Polymer Chain Segments using Robot Motion Planning

Finding the 3D structure a protein will assume given only its amino acid sequence remains largely an open question in bioinformatics. New developments have incorporated 3D images–”density maps”–of molecules from electron microscopy, but this presents its own problems. We seek to measure the lengths of segments of protein polymer chains associated with specific regions of the density map. We briefly discuss past efforts, and introduce an analog to robot motion planning as a novel approach. We will show this new approach’s superiority through complexity analysis, and present some experimental results in the 2D case, leaving the 3D case to future work. Keywords-simplification; bounded; skeleton; shortest-path; graph
How do Co-agents Actively Regulate their Collective Behavior States?

Collective capability of producing patterned collective behaviors is one important field of research in work psychology (e.g., shared cognition approach, Fiore and Salas, 2004; interactive team cognition approach, Cooke et al., 2013), neurosciences (e.g., social neuromarkers, Tognoli et al., in press; neurological mirroring, Waldman et al., 2015), sociology (Miller, 2013), or human movement science (e.g., joint movement, Schmidt and Richardson, 2008; team behavior, Araujo and Bourbousson, 2016). Within this stream of research, one neglected topic has been to conceptualize how interactors regulate online their dynamic involvement in collective activity, which is the individual skillful activity of adjusting online to the needs of the collective behavior. Grounded in of the hypothesis that collective behavior emerges from a self-organized complex system, the present opinion discusses the nature of the active regulation of the interactions performed by the co-agents. A deeper grasp of this regulation process is needed to understand how and why interpersonal co-ordination forms, stabilizes and/or is destroyed, leading to the emergence of high order phenomena at the team scale that are not fully predictable from the individual activities that compose the social system under study. Collective behavior is deemed here to constitute the property of a social system composed of living entities. In research that has considered collective behavior as emerging from a self-organized complex system, an important focus has been on the between-agents' interactions, supported by an informational flow that binds agents (e.g., Schmidt et al., 1990). In this stream of research, information is defined as an ambient energy that disturbs the agent, depending on his current activity (Varela et al., 1991). From the (interpersonal) informational flow, individual activities can be entrained, mutually affected by others' movements, so that the emerging collective behavior cannot be conceived out of either the nature or the content (i.e., being non-representational) of such a flow (e.g., Kelso, 1994; Lagarde and Kelso, 2006; Richardson et al., 2007). However, while between-agents informational flow has been considered the main binding mechanism that makes collective behavior emerge, we aim at pointing out that the way individuals manage their interaction in the real-time mainly has been theoretically presupposed rather than empirically investigated. We will use empirical and logical evidence to highlight shortcomings in the actual theorizations of the way individual movements merge into a collective unit. In our opinion, current research should restrict the importance of the co-regulation and the local couplings hypotheses. Both hypotheses appear unsatisfactory to us, and might probably be refined through a further consideration of the social system's size effects as a main topic.
Reason Maintenance and the Ramsey Test ?

The Ramsey test provides an intuitive link between conditionals and belief revision. How easy is it to incorporate a Ramseyaccount of conditionals in a reason maintenance system? In this paper, it is shown that this is indeed possible, within a relevance-logical framework. In addition, it is shown that independently motivated requirements on reason maintenance systems allow us to gracefully circumvent Gärdenfors’s triviality result.
Context dependent maintenance effort estimation: Case study in a small software company

This paper presents an approach to software maintenance effort estimation based on the analysis of software maintenance requests available in issue tracking system in a very small local software company. Over 1900 requests, collected during 19 months in 2010 and 2011, were selected for analysis. The approach takes into account: the frequency of submitted user requests for particular periods of time important for organizing work in the company, the existence of maintenance service agreement for clients, the number of programmers assigned to the task associated to each request, and the number of working hours required for requests solving. The approach calculates correlation and establishes linear regression between frequencies of submitted user requests and the average time required for completing requests. This approach estimates an average number of working hours for processing user requests in periods of time that are important for internal company organization. In the paper are also discussed implications for practice and research, and provided recommendations for adapting this approach to other small software companies.
Acylated mono-, bis- and tris- Cinchona-Based Amines Containing Ferrocene or Organic Residues: Synthesis, Structure and in Vitro Antitumor Activity on Selected Human Cancer Cell Lines

A series of novel functionalized mono-, bis- and tris-(S)-{[(2S,4R,8R)-8-ethyl-quinuclidin-2-yl](6-methoxyquinolin-4-yl)}methanamines including ferrocene-containing derivatives was obtained by the reaction of the precursor amine with a variety of acylation agents. Their in vitro antitumor activity was investigated against human leukemia (HL-60), human neuroblastoma (SH-SY5Y), human hepatoma (HepG2) and human breast cancer (MCF-7) cells by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT)-assay and the 50% inhibitory concentration (IC50) values were determined. Our data indicate that the precursor amine has no antitumor activity in vitro, but the bis-methanamines with ureido-, thioureido and amide-type linkers display attractive in vitro cytotoxicity and cytostatic effects on HL-60, HepG2, MCF-7 and SH-SY5Y cells. Besides 1H- and 13C-NMR methods the structures of the new model compounds were also studied by DFT calculations.
European Conference on Information Systems ( ECIS ) Summer 10-6-2011 INFORMATION QUALITY ASSESSMENT : VALIDATING MEASUREMENT DIMENSIONS AND PROCESSES

Over the last two decades information quality has emerged as a critical concern for most organisations. Foremost research provides several approaches to measure information quality and many case studies constantly illustrate the difficulties in assessing information quality. In this paper, we tackle the problem of assessing information quality and we propose a framework to implement information quality assessment in practice. Our framework incorporates two major components: a set of valid measurement dimensions and a measurement process. We have tested the validity, reliability and usefulness of the dimensions and applied the measurement process to an example dataset. In addition, our study demonstrates typical information quality problems in the example dataset and their potential impact to organisations.