Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance of the FreeStyle Libre Flash glucose monitoring system in patients with type 1 and 2 diabetes mellitus

Objective To evaluate the performance of the FreeStyle Libre Flash continuous glucose monitoring (FSL-CGM) system against established central laboratory methods. Research design and methods 20 subjects (8 type 1 diabetes mellitus, 12 type 2 diabetes mellitus) were analyzed. FSL-CGM sensor measurements (inserted in arm and abdomen) were compared with capillary blood glucose results analyzed with StatStrip as semigold standard. The glucose response after a standardized oral glucose load was measured by FSL-CGM and capillary samples analyzed by perchloric acid hexokinase (PCA-HK) method, StatStrip and FSL test strip (FSLC), and a commonly used CGM system (iPro2). Results FSL-CGM arm sensor readings showed 85.5% of paired readings falling within Clarke Error Grid (ISO 15197:2013) zone A when compared with StatStrip. For FSL-CGM abdomen and FSLC, these percentages were 64% and 98%, respectively. The overall correlation of FSL-CGM in the arm and the StatStrip indicates a performance with lower results with the FSL-CGM in the arm than expected based on the StatStrip in the lower glucose ranges, and higher results than expected in the higher ranges. Following a standardized glucose load, a slower rise in glucose level was observed for FSL-CGM arm as compared with PCA-HK, StatStrip, FSLC, and iPro2 during the first 45–60 min after glucose load ingestion. Conclusions Certain matters need attention while using the FSL-CGM in daily life including the observed lower values in the lower ranges, and the underestimation of the effect of a meal on glucose response. These effects of such deviations can partly be overcome by optimizing the available user instructions. Trial registration number TC5348; results.
Combining Lexico-semantic Features for Emotion Classification in Suicide Notes

This paper describes a system for automatic emotion classification, developed for the 2011 i2b2 Natural Language Processing Challenge, Track 2. The objective of the shared task was to label suicide notes with 15 relevant emotions on the sentence level. Our system uses 15 SVM models (one for each emotion) using the combination of features that was found to perform best on a given emotion. Features included lemmas and trigram bag of words, and information from semantic resources such as WordNet, SentiWordNet and subjectivity clues. The best-performing system labeled 7 of the 15 emotions and achieved an F-score of 53.31% on the test data.
The Uncanny Valley: Existence and Explanations

More than 40 years ago, Japanese roboticist Masahiro Mori (1970/2005) proposed the “uncanny valley” hypothesis, which predicted a nonlinear relation between robots’ perceived human likeness and their likability. Although some studies have corroborated this hypothesis and proposed explanations for its existence, the evidence on both fronts has been mixed and open to debate. We first review the literature to ascertain whether the uncanny valley exists. We then try to explain the uncanny phenomenon by reviewing hypotheses derived from diverse theoretical and methodological perspectives within psychology and allied fields, including evolutionary, social, cognitive, and psychodynamic approaches. Next, we provide an evaluation and critique of these studies by focusing on their methodological limitations, leading us to question the accepted definition of the uncanny valley. We examine the definitions of human likeness and likability, and propose a statistical test to preliminarily quantify their nonlinear relation. We argue that the uncanny valley hypothesis is ultimately an engineering problem that bears on the possibility of building androids that may some day become indistinguishable from humans. In closing, we propose a dehumanization hypothesis to explain the uncanny phenomenon.
Receiver-initiated Sending-rate Control based on Data Receive Rate for Ad Hoc Networks connected to Internet

We propose a scheme to improve TCP throughput on multihop wireless networks connected to the Internet. Though it changes the behavior of the receiver TCP, it does not change the sender TCP, in contrast to conventional techniques, which modify the sender TCP. Thus, our scheme can be useful even if a host on a wireless ad hoc network that is connected to the Internet communicates with web servers and mail servers that send most data to the host on the ad hoc network. In our scheme, the receiver TCP controls the timing of sending ACK segments using an algorithm similar to that used in TCP-VAR so that the sender TCP can send segments at an appropriate interval for the current condition of the network. Simulation results show that our scheme improves the throughput of TCP by an additional 40% compared with TCP-NewReno.
A Novel Multi-classifier Integrated Model for Chinese Noun Sense Disambiguation

We propose a Multi-classifier Compatible Computational Model (MCCM) for Chinese noun sense disambiguation in this paper. In natural language processing, many problems can be viewed as classification in nature. However, different classifiers cannot be efficiently integrated by a general standard. Quantification rule is introduced for flexible integration of statistical and rule-based classifiers. Rules are traced into the corpus for acquiring their quantification information. The other contribution is Projected Performance Evaluation Matrix (P-PEM). Classification performance is improved because it contains more accurate classification information for every classifier. Many faint classifiers boost a powerful MCCM model. Finally the experiment shows its advantages. *
Relationship between left ventricular diastolic function and geometric patterns in Nigerians with newly diagnosed systemic hypertension

Background It is not known whether abnormalities of left ventricular diastolic function are influenced by the various cardiac geometric patterns in Nigerians with newly diagnosed systemic hypertension. Objective To evaluate the relationship between the parameters of left ventricular diastolic function and the geometric patterns in this group of patients. Methods Two-dimensional, guided M-mode echocardiography including Doppler was performed in 150 consecutive, newly diagnosed hypertensive individuals and normotensive controls aged between 35 and 74 years. Left ventricular mass index and relative wall thickness were used to classify the hypertensive individuals into four geometric patterns, and the pulsed-wave Doppler parameters obtained were used to categorise the abnormalities of diastolic function. Results Four left ventricular geometric patterns were identified: 23 (15.3%) had normal left ventricle geometry, 33 (22%) had concentric remodelling, 37 (24.7%) were found to have eccentric hypertrophy, and concentric hypertrophy occurred in 57 (38%) of the hypertensive individuals. Left ventricular diastolic dysfunction occurred more in hypertensives with concentric left ventricular geometric pattern. Increased left ventricular mass index and relative wall thickness were found to be associated with the mitral E-wave, E/A ratio and pulmonary venous flow S-wave in the hypertensives (p < 0.001). Conclusion In newly diagnosed Nigerian hypertensives, the abnormalities in left ventricular diastolic function varied between the different left ventricular geometric patterns, being worst in those with concentric geometry.
Visual learning of patterns and objects

We discuss automatic rule generation techniques for learning relational properties of 2D visual patterns and 3D objects from training samples where the observed feature values are continuous. In particular, we explore a conditional rule generation method that defines patterns (or objects) in terms of ordered lists of bounds on unary (pattern part) and binary (part relation) features. The technique, termed conditional rule generation, was developed to integrate relational structure representations of patterns and the generalization characteristics of evidenced-based systems. We show how this technique can be used for recognition of complex patterns and of objects in scenes. Further, we show the extent to which the learned rules can identify patterns and objects that have undergone nonrigid distortions.
EM BUSCA DE CAMINHOS QUE PROMOVAM A MELHORA DA CONVIVÊNCIA NA ESCOLA: INVESTIGANDO O CLIMA ESCOLAR: INVESTIGANDO O CLIMA ESCOLAR

The present research aims to understand and evaluate the school climate in students, teachers and managers, seeking subsidies that guide the elaboration of actions to improve school coexistence. The school climate is understood as the set of perceptions of the members of the educational community in relation to the educational institution that involves factors related to the pedagogical and administrative structures, the organization and the social relations that occur in this environment. The evaluation of school climate was made through questionnaires addressed to students, teachers and managers covering eight dimensions that compose the climate. A total of 400 questionnaires were administered at a primary and secondary institution from the state public school system. The school actors, in general, had a positive perception about the dimensions of the school climate. However, the analysis of the itens that make up the dimensions reveals negative points which are contested among the participants. The "situations of intimidation among the students" were evaluated positively among the students; in counterpoint, some of the teachers had a negative perception. The "infrastructure and physical network of the school" and "family, school and community" were more negatively evaluated by students; in these the answers of the teachers were divided, predominantly, between neutral and positive; half of the managers negatively evaluated the institutional infrastructure. Also, "management and participation" were negatively evaluated by half of the teachers. Finally, the diagnosis made allows a greater knowledge about the school climate, contributing with the elaboration of proposals of interventions aiming at improving the quality of the coexistence in school.
CASE tools as collaborative support technologies

Since the inception of computers, the software industry has searched for dramatic solutions to its systems development problems. In the latter half of the 1980s and into the 1990s, the search has focused on automated software engineering (computer-assisted software engineering or CASE) tools (see, for example, [17]). Many in the software engineering field claim CASE tools will completely replace the software developer [15]. A more realistic view, however, is that such tools will aid systems developers in the process of specifying, designing, and constructing software systems.
News By Association: Designing a Way Out of the Echo Chamber

This thesis is an investigation of the echo chamber phenomenon in news consumption on social networking sites. It incorporates elements of actor-network theory, Bruno Latour’s ‘matters-of-concern’ and Participatory Design methodology to identify and unpack contributing factors to the formation of echo chambers. As part of the research, a web tool called Echology was conceptualized during a series of workshops with news industry professionals. This paper describes the making of Echology, from ideation to actualization. The goal of this document and its accompanying design piece is to challenge readers to think critically about the forces at play in an online news experience.
Just-in-time Compilation for Generalized Parsing

Parsing syntactically extensible languages requires generalized parsers which are slow to generate for repeatedly changing grammars. This situation is similar to the execution of dynamic languages like JavaScript, suggesting that we can appropriate technology from that field to use in just-in-time compiled parsers. We implement two just-intime compiling grammar interpreters, a simple one and a generalized LL parser, using a research prototype of a programming language implementation framework called Truffle. Exploratory performance experiments suggests that appropriating just-in-time compilation technology for parsers is not only possible, but close to being competitive for generalized parsing and might even surpass handwritten recognizers in some cases.
Redox-Triggered Secondary Structure Changes in the Aggregated States of a Designed Methionine-Rich Peptide

We have previously shown that methionine can be used as a “switchable” residue for the design of peptides with alternative secondary structure preferences in the aggregated state (J. Am. Chem. Soc. 1993, 115, 12609). Redox-induced secondary structure changes in the 18-residue peptide Ac-YLKAMLEAMAKLMAKLMA-NH2 result from conversion of lipophilic methionine (M) to hydrophilic methionine sulfoxide (M°), which transforms a peptide capable of adopting an amphiphilic α-helical conformation into a peptide capable of adopting an amphiphilic β-strand conformation. Here we present a detailed characterization of the third oxidation state of this peptide, in which the methionine residues are oxidized to the sulfone state. The sulfone form behaves similarly to the sulfoxide form, even though the sulfone group is somewhat less hydrophilic than the sulfoxide group. These results provide support for the concept that the conformational preferences of peptides and proteins are strongly dependent upon the linear ordering o.
Multi-channel 2D photometry with super-resolution in far UV astronomical images using priors in visible bands

Photometry of crowded fields is an old theme of astronomical image processing. Large space surveys in the UV (ultraviolet), like the GALEX mission (135-175 nm and 170-275 nm range), confronts us again with challenges like, very low light levels, poor resolution, variable stray-light in background, the extended and badly known PSFs (point spread functions), etc. However the morphological similitude of these UV images to their counterparts in the visible bands, suggests that we use all this high resolution data as the starting reference for the UV analysis. We choose the Bayesian approach. However there is not a straightforward way leading from the basic idea to its practical implementation. We will describe in this paper the path which starts with the original procedure (presented in a previous paper) and ends on the useful one. After a brief recall on the Bayesian method, we describe the process applied to restore from the UV images the point spread function (PSF) and the background due to stray-light. In the end we display the photometric performances reached for each channel and we discuss the consequences of the imperfect knowledge of background, the inaccuracy on object centring and on the PSF model. Results show a clear improvement by more than 2 mag on the magnitude limit and in the completeness of the measured objects relative to classical methods (it corresponds to more than 75000 new objects per GALEX field, i.e. approx 25% more). The simplicity of the Bayesian approach eased the analysis as well as the corrections needed in order to obtain a useful and reliable photometric procedure.
Smoothing Trust Region for Digital Image Restoration

The image restoration task is often modelled as an unconstrained minimization, which is composed of a quadratic data-fidelity term and a regularization term. Recently, nonsmooth regularization received significant attentions due to its excellent empirical performance on the presence of edges. To handle the nonsmoothness of the cost function, we propose a smoothing trust region algorithm in this paper. In order to make the new method more efficient and more suitable for big data situation, the Steihaug-CG algorithm is utilized to solve the trust region subproblem. New algorithm is compared with the Lucy-Richardson method. Numerical experiments on several images validate the effectiveness of the proposed method.
Footwear and Wrist Communication Links using 2.4 GHz and UWB Antennas

It is reported that wearable electronic devices are to be used extensively in the next generation of sensors for sports and health monitoring. The information obtained from sensors on the human body depends on the biological parameters, the measurement rate and the number of sensors. The choice of the wireless protocol depends on the required data rates and on system configurations. The communication link quality is achieved with narrowband technologies such as Bluetooth or Zigbee, provided that the number of sensors is small and data rates are low. However, real-time measurements using wideband channels may also be necessary. This paper reports narrowband link performance at 2.45 GHz for comparison with two UWB channels centered at 3.95 GHz and 7.25 GHz. A monopole antenna covering 2.45 GHz and UWB is optimized for an on-body communication link between the footwear and the wrist. The cumulative distribution function of several path loss measurements is reported and compared for a subject standing and walking. Results show that the larger bandwidth in the UWB channel reduces fading and stabilizes the channel predictability.
A novel technique for broadband subspace decomposition

A generalisation of the eigenvalue decomposition (EVD) is proposed for para-Hermitian polynomial matrices. A novel technique for computing this polynomial matrix EVD is outlined. It involves applying a sequence of elementary paraunitary matrices and is referred to as the second order sequential best rotation (SBR2) algorithm. An application of the SBR2 algorithm to broadband subspace identification is briefly illustrated.
CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains

CopraRNA (Comparative prediction algorithm for small RNA targets) is the most recent asset to the Freiburg RNA Tools webserver. It incorporates and extends the functionality of the existing tool IntaRNA (Interacting RNAs) in order to predict targets, interaction domains and consequently the regulatory networks of bacterial small RNA molecules. The CopraRNA prediction results are accompanied by extensive postprocessing methods such as functional enrichment analysis and visualization of interacting regions. Here, we introduce the functionality of the CopraRNA and IntaRNA webservers and give detailed explanations on their postprocessing functionalities. Both tools are freely accessible at http://rna.informatik. uni-freiburg.de.
Recognition of Named Entities Boundaries in Polish Texts

In the paper we discuss the problem of low recall for the named entity (NE) recognition task for Polish. We discuss to what extent the recall of NE recognition can be improved by reducing the space of NE categories. We also present several extensions to the binary model which give an improvement of the recall. The extensions include: new features, application of external knowledge and post-processing. For the partial evaluation the final model obtained 90.02% recall with 91.30% precision on the corpus of economic news.
Validation of Complexity Metrics of Agent-Based Systems Using Weyuker's Axioms

Agent-oriented software, in spite of its increased complexity levels, emphasize on social ability, autonomy, reactivity, adaptability, intelligence, learning, proactivity, goal-oriented and mobility. In general the complexity of the software agent is divided into two aspects; computational complexity and psychological complexity and they should be measured on both concrete aspects. The fact of high computational complexity leads to a weak performance indicates the importance of correctness in complexity measurements. Hence the concept of complexity metrics validation plays a significant role in the complexity measurement theory. This work describes a standard procedure for validating complexity metrics of agent-based systems. The validation procedure narrated in this paper uses the method proposed by Weyuker. The nine axioms of Weyuker are used to determine the effectiveness of various complexity metrics of agent-based systems. The result defines the extent of satisfaction of validation axioms in case of agent complexity metrics.
THE CYTOTOXIC PRINCIPLE OF THE PHYTOFLAGELLATE PRYMNESIUM PARVUM

The cytotoxic events leading to lysis induced in Ehrlich ascites tumor (E.A.) cells by Prymnesium parvum cell extracts were followed microscopically and measured quantitatively as changes in E.A. cell volume, uptake of trypan blue, and release of macromolecular constituents from the cells. Cell swelling was the most immediate response to P. parvum cytotoxin, while cell death and lysis were later events distinguished by a decline in cell volume, uptake of dye, and appearance of cellular macromolecules free in the incubation medium. The pH and temperature were shown to affect the outcome of the lytic sequence. At either low pH or temperature, cells swelled but did not lyse until the pH or temperature was raised. On the other hand, cells swollen at the higher pH or temperature could be protected from lysis by lowering either the pH or the temperature.
ScienceDirect Variety Management in Manufacturing . Proceedings of the 47 th CIRP Conference on Manufacturing Systems Cyber-physical production systems : Roots , expectations and R & D challenges

One of the most significant directions in the development of computer science and information and communication technologies is represented by Cyber-Physical Systems (CPSs) which are systems of collaborating computational entities which are in intensive connection with the surrounding physical world and its on-going processes, providing and using, at the same time, data-accessing and data-processing services available on the internet. Cyber-Physical Production Systems (CPPSs), relying on the newest and foreseeable further developments of computer science, information and communication technologies on the one hand, and of manufacturing science and technology, on the other, may lead to the 4th Industrial Revolution, frequently noted as Industry 4.0. The key-note will underline that there are significant roots generally – and particularly in the CIRP community – which point towards CPPSs. Expectations and the related new R&D challenges will be outlined. © 2014 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the International Scientific Committee of “The 47th CIRP Conference on Manufacturing Systems” in the person of the Conference Chair Professor Hoda ElMaraghy.
Identification of activated cryptic 5′ splice sites using structure profiles and odds measure

The activation of cryptic 5′ splice sites (5′ SSs) is often related to human hereditary diseases. The DNA-based mutation screening strategies are commonly used to recognize the cryptic 5′ SSs, because features of the local DNA sequence can influence the choice of cryptic 5′ SSs. To improve the identification of the cryptic 5′ SSs, we developed a structure-based method, named SPO (structure profiles and odds measure), which combines two parameters, the structural feature derived from hydroxyl radical cleavage pattern and odds measure, to assess the likelihood of a cryptic 5′ SS activation in competing with its paired authentic 5′ SS. Compared to the current tools for identifying activated cryptic 5′ SSs, the SPO algorithm achieves higher prediction accuracy than the other methods, including MaxEnt, MDD, Markov model, weight matrix model, Shapiro and Senapathy matrix, Ri and ΔG. In addition, the predicted ΔSPO scores from the SPO algorithm exhibited a greater degree of correlation with the strength of cryptic 5′ SS activation than that measured from the other seven methods. In conclusion, the SPO algorithm provides an optimal identification of cryptic 5′ SSs, can be applied in designing mutagenesis experiments for various splicing events and may be helpful to investigate the relationship between structural variants and human hereditary diseases.