Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Control with communications constraints : measuring theinstability in parametric linear systems

This paper investigates the instability measure of linear s ystems defined as the sum of the unstable eigenvalues in the continuous-time (CT) case and the produc t of the unstable eigenvalues in the discretetime (DT) case. The problem consists of determining the larg est instability measure in systems depending polynomially on parameters constrained in a semialgebraic set. It is shown that upper bounds of the sought measure can be established via linear matrix inequal ity (LMI) feasibility tests. Moreover, a priori and a posteriori conditions for establishing nonconservat ism are proposed. Lastly, two special cases of the proposed methodology are investigated, the first one con cerning systems with a single parameter, and the second one concerning the determination of the large st spectral abscissa and radius. Three applications in control with communications constraints a re discussed.
The Prevalence of Malaria in Children between the Ages 2-15 Visiting Gwarinpa General Hospital Life-Camp, Abuja, Nigeria

Malaria is a major cause of illness and death especially among children under 5 years and pregnant women. It is estimated that more than one million children living in Africa especially in remote areas with poor access to health services die annually from direct and indirect effects of malaria. Fatally affected children often die within less than 72hrs after developing the symptoms. In Nigeria, malaria consistently ranks among the five most common causes of death in children. As a result of increased mortality and morbidity there is need for proper understanding of the epidemiology of the disease among the most at risk groups. Two milliliters venous blood was collected from each of the 200 children and stored in an anticoagulant specimen bottle. Thick and thin films were prepared, stained and examined for malaria parasite under the microscope using the oil immersion objective. Malaria infection was found to be most prevalent among 2-5years old, (29%) while ages 6-10 and 11-15yrs both had 17.5% infection. There was no significant difference in prevalence among the male and female children, with 67 and 61%, respectively. The most prominent specie in the community is Plasmodium falciparum (62.5). There is need for mothers to protect their children from mosquito bite by ensuring that they sleep under Insecticide Treated Net.
Facial Feature Extraction Based On FPD and GLCM Algorithms

Image mining is defined as the discovery of image patterns in a given collection of images. It is an effort that fundamentally draws upon knowledge in computer vision, image processing, data mining, machine learning, database, and artificial intelligence. Facial recognition helps to analyze and compare the patterns from the facial images. Facial feature extraction is an automatic recognition of human faces by detecting its features i.e. eyes, eyebrows and lips. In this research work, features are extracted from the human facial images by using the existing Face Part Detection (FPD) algorithm and the newly proposed Gray Level Co-occurrence Matrix (GLCM) algorithm. FPD uses bounding box method and GLCM uses affine moment invariants method. Performance factors applied here are feature extraction accuracy and execution time. The implementation of this work is performed in MATLAB 7.0. Based on the experimental results, it is observed that the proposed GLCM algorithm extracted the features more accurately with minimum execution time than FPD algorithm.
The Lighthouse handbook on vision impairment and visionrehabilitation.

This comprehensive reference source is a state-of-the-art guide to the scientific, clinical, rehabilitative, and policy aspects of vision impairment and blindness. More than 100 original contributions from physicians, therapists, rehabilitation specialists, and policy makers cover everything from the basic science of vision and its diseases to assistive technologies, treatment, and care.
Robust implementation of cognitive computing computational primitives in mixed-signal neuromorphic processors

Hardware implementations of brain-inspired cognitive computing architectures are typically characterized with constraints and limitations that are significantly different from those found in conventional processor designs. In particular, mixed-signal analog-digital neuromorphic processors comprise populations of silicon neurons and dynamic synapses that can faithfully emulate the physics of computation of cortical circuits. As a consequence, the computing elements in these devices are often affected by the same limitations observed in biological neurons and synapses, i.e., low resolution, slow speed, high variability and high sensitivity to noise. In this work, we propose spiking neural network configurations that implement robust computational primitives for building complex real-time neural information processing systems. We validate these architectures on the Dynamic Neuromorphic Asynchronous Processor (DYNAP) device and demonstrate their cognitive computing abilities with decision making winner-take-all circuits coupled in a relational network.
Application of fuzzy neural network model in the evaluation of translation quality of scientific and technical documents

Through summing up the literature on translation standard associated with science and technology area, the paper proposes five factors throwing much influence on translation quality, including faithfulness and precision, expressiveness and intelligibility, logical clarity, proper use of terms and the principle of catering to professional readers. As is discussed by translation researchers, translation evaluation is agreed to be a mathematical system characterized by complexity and non-linear nature since these factors are inner connected in a way devoid of evidence. Neural Network is a better tool in resolving complex non-linear problems. In the study, the author makes the five factors an index system in order to get a quantified data. First, they are classified into five scales, excellent, good, medium, pass, and failure with each representing a digital interval. Then a questionnaire is conducted by marking five translated versions according to the offered indexes by thirty participants consisting of translation theorists, translators and professional readers. Then we use Back Propagation network to train the evaluation model with the data gained from these readers. By self-learning and adjusting priorities in translation evaluation, the model is finally capable of producing synthetically assessment on translated versions. The results obtained by means of two different methods are compared and analysed in the paper too. It is found that the difference between them is quite big. Only 60% of them are concord, which means the traditional evaluation by human is less objective and lower in accuracy and fails to produce answer close to the fact. On the contrary, due to the objectivity and artificial intelligence possessed by NN, the result with this approach is proved to be more reliable and accurate.
Reductions in Strong Upwelling‐Favorable Wind Events in the Pliocene

Proxy records of the Pliocene show significant warm anomalies of sea surface temperatures (SST) near midlatitude upwelling sites at the eastern boundaries of the Pacific and Atlantic Oceans. Weaker upwelling‐favorable mean winds or a deeper thermocline have been proposed as explanations, yet the mechanisms involved are still not clear and the dramatic warmings of up to 9°C are only partially accounted for. Here we quantify the response of strong “transient” upwelling‐favorable wind events, defined to have a wind velocity over 5 m s−1 and a duration of at least 3 days, to two reconstructions of Pliocene SST. Such events are responsible for much of the modern upwelling SST signal and may therefore be a more relevant measure than the climatological winds. We find that both the amplitude and duration of upwelling‐favorable events are reduced in the Pliocene scenarios. Using Pliocene Reconstruction Interpretation and Synoptic Mapping SST, we find an annual reduction in upwelling flux between 7.4% and 13.2%, depending on model resolution. With an idealized Pliocene SST, the reduction in upwelling flux is between 46.7% and 50.3%. This reduction is shown to be closely related to changes in anticyclonic atmospheric activity, associated in turn with a weaker large‐scale meridional SST gradient.
Ja Iridescence : views from many angles

References http://rsif.royalsocietypublishing. org/content/6/Suppl_2/S107.full. html#ref-list-1 This article cites 56 articles, 24 of which can be accessed free Subject collections (88 articles) biophysics  (9 articles) biomimetics  Articles on similar topics can be found in the following collections Email alerting service here right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up in the box at the top
Reaktif pudra betonlarının basınç dayanımının anfıs ile tahmini Predicting the compressive strength of RPC by ANFIS

This study is designed to investigate the experimental results of Reactive Powder Concretes (RPC) with the adaptive neural fuzzy inference systems (ANFIS) prediction model. In order to construct this model, the compressive strengths of 42 samples on the 7th and 28th days were obtained from the experiments for the training stages of the ANFIS model. This data was used on ANFIS model as hydration day, 8 input parameters including Portland cement, silica smoke, quartz sand, sand, water, super plasticizer and steel fiber and compressive strength of concrete as output parameter. The ANFIS model presented training performance with 0.015 error. When ANFIS test results compared with experimental results, it found that R, RMS and MAPE were statistically accurate to 0.9909, 0.027 and 0.0004, respectively. The test results show that ANFIS model is a convenient to use and simple model for estimating the compressive strengths of 7th and 28th days of RPC
AN-1520 A Guide to Board Layout for Best Thermal Resistance for Exposed Packages

This thermal application report provides guidelines for the optimal board layout to achieve the best thermal resistance for exposed packages. The thermal resistance between junction-to-ambient (θJA) is highly dependent on the PCB (Printed Circuit Board) design factors. This becomes more critical for packages having very low thermal resistance between junction-to-case, such as exposed pad TSSOP (e-TSSOP), exposed pad QFP (e-QFP), and LLP. A case study of the LM2652 in a 28-lead e-TSSOP package demonstrates the PCB design impact on θJA, and generates design recommendations to improve the thermal performance. Five different PCBs were manufactured with various layouts of ground planes based on a 3”x3” size and 4-layer design. The new PCBs reduced θJA from the range of 40∼50°C/W down to 25∼30°C/W. Finite Element Analysis (FEA) modeling was used for sensitivity analysis to identify the key PCB parameters.
SODHIANA , A NEW GENUS OF FRESHWATER CRAB FROM SOUTH ASIA ( DECAPODA : BRACHYURA : GECARCINUCIDAE )

— A new genus, Sodhiana, is established for three species of gecarcinucid freshwater crabs formerly assigned to Sartoriana Bott, 1969. The three species, Sodhiana blanfordi (Alcock, 1909), Sd. afghaniensis (Pretzmann, 1963), and Sd. rokitanskyi (Pretzmann, 1971), superfi cially resemble Sartoriana in gross carapace morphology, some specifi c carapace characters, and especially in the general form of the male fi rst pleopod. However, they are distinguishable from Sartoriana by signifi cant carapace, cheliped, male abdomen, and male fi rst pleopod characters. This paper redefi nes Sartoriana and describes Sodhiana, new genus.
EusHeidelTime : Time Expression Extraction and Normalisation for Basque

Temporal information helps to organise the information in texts placing the actions and states in time. It is therefore important to identify the time points and intervals in the text, as well as what times they refer to. We developed EusHeidelTime for Basque time expression extraction and normalisation. For it, we analysed time expressions in Basque, we created the rules and resources for the tool and we built corpora for development and testing. We finally ran an experiment to evaluate EusHeidelTime’s performance. We achieved satisfactory results in a morphologically rich language.
Statistical genetics with application to population-based study design : a primer for clinicians

Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada; Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada; and Thrombosis and Atherosclerosis Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
Bakış An Overview of Image-Guided Percutaneous Microwave Ablation of Renal Cell Carcinoma

1 Renal cell carcinoma (RCC) accounts for approximately 3% of malignancies and 80-90% of malignant neoplasms of the kidney in adults. The incidence of RCC continues to increase. Due to widespread use of cross-sectional imaging modalities, small and localized tumors are now being detected at an early stage. Percutaneous image-guided thermal ablation for early stage RCC is a minimally invasive technique that has rapidly gained acceptance as an alternative to surgery. This technique provides a low incidence of complications, shorter operative-time, protection of renal function, lack of inherent surgery risks, and shorter hospital stay while remaining an effective method of adequate destruction of tumor tissue. The current ablation techniques include cryoablation, radiofrequency ablation (RFA), high-intensity focused ultrasound and microwave ablation (MWA). Image-guided percutaneous MWA has been effectively and safely applied to treat renal tumors in select patients. In contrast to RFA, percutaneous MWA has the advantage of providing higher temperatures in a shorter time. Thus, MWA allows a more uniform tumor necrosis than RFA. The indications for renal MWA include T1a or T1b tumors (≤4 cm or 4-7 cm), patients with multiple comorbidities who are poor candidates for resection, a tumor in a solitary kidney, bilateral renal tumors, hereditary renal tumors, renal insufficiency, von Hippel-Lindau syndrome, and palliative treatment of hematuria. In conclusion, percutaneous MWA appears to be a safe and effective treatment option for T1a and T1b tumors and for patients who are poor surgical candidates.
Performance Comparison between Keyword-based and WQCA-based Information Retrieval System

Today, semantic logics are very important in query understanding to create successful web search engines. A user might not formalize the query when he seeks information although he knows what he wants. As a result, understanding the nature of the information that is needed behind the queries are important research problem. So, this system proposes the Web Query Classification Algorithm (WQCA) for efficient Information Retrieval (IR) system. In the WQCA process, this system firstly classifies the web queries into each characteristic (taxonomies). Then, this system extracts the domain terms from the query. By using NoSQL graph database, this system classifies each domain term into their relevant categories according to the WQCA algorithm. In the WQCA-based IR process, this system uses the classified query to find the relevant document form the document collection. Finally, this system compares the performance between keyword-based IR and WQCA-based IR to show the effectiveness of the web query classification.
Parameter Optimization for CTC Acoustic Models in a Less-resourced Scenario: An Empirical Study

In this work, we performed a study evaluating parameter configurations for acoustic models trained using the connectionist temporal classification (CTC) loss function. We varied the sizes of the hidden layers and mini-batches. We further used different optimizer strategies, comparing using SGD with a static learning rate and newbob scheduling. We further evaluated multiple configurations for data augmentation: As the acoustic features were extracted using overlapping windows, neighboring frames contain redundant information. By systematically omitting frames, thus creating multiple versions of the same utterances, the network can be trained on "more" data. Applying this scheme, we generated multiple versions of each utterance using different shifts. We evaluated parameter configurations using two conditions: A multilingual setup with 4 languages and 45h of data per language which can be considered less-resourced in the regimen of RNN/CTC acoustic models. In addition, we used a very low-resource dataset to assess network configurations if less than 10h of data is available.
Timofeeva Orthogonal Regression for Nonparametric Estimation of Errors-in-Variables Models

Two new algorithms for nonparametric estimation of errors-in-variables models are proposed. The first algorithm is based on penalized regression spline. The spline is represented as a piecewise-linear function and for each linear portion orthogonal regression is estimated. This algorithm is iterative. The second algorithm involves locally weighted regression estimation. When the independent variable is measured with error such estimation is a complex nonlinear optimization problem. The simulation results have shown the advantage of the second algorithm under the assumption that true smoothing parameters values are known. Nevertheless the use of some indexes of fit to smoothing parameters selection gives the similar results and has an oversmoothing effect. Keywords—Grade point average, orthogonal regression, penalized regression spline, locally weighted regression.
ultiple polysaccharide – drug complex-loaded liposomes : A unique trategy in drug loading and cancer targeting ima

In the present study, a unique strategy was developed to develop nanocarriers containing multiple therapeutics with controlled release characteristics. In this study, we demonstrated the synthesis of dextran sulfate-doxorubicin (DS-DOX) and alginate-cisplatin (AL-CIS) polymer–drug complexes to produce a transferrin ligand-conjugated liposome. The targeted nanoparticles (TL-DDAC) were nano-sized and spherical. The targeted liposome exhibited a specific receptor-mediated endocytic uptake in cancer cells. The enhanced cellular uptake of TL-DDAC resulted in a significantly better anticancer effect in resistant and sensitive breast cancer cells compared to that of the free drugs. Specifically, DOX and CIS at a molar ratio of 1:1 exhibited better therapeutic performance compared to that of other combinations. The
Review : Biomimetic Approach for Remineralization of Human Enamel

Biomimetic mineralization is a methodology that imitates the natural process of mineralization. The biomimetic synthesis of enamel-like apatite structures under a physiological condition is an attractive, bioavailable alternative of repairing defective enamel. During the last several years different biomimetic systems for enamel remineralization were developed. They are based on amelogenin, other peptides, dendrimers, amino acids, calcium phosphate nanoparticles and others. Despite all the promising studies, described in this systematic review, the biomimetic strategies still face ongoing challenges in the fields of dentistry and material sciences.
Automatic interpretation of pediatric electrocardiograms

textabstractThe year 1902 saw the birth of clinical electrocardiography when Willem Einthoven published the first electrocardiogram (ECG) of unprecedented quality recorded with his newly invented string- galvanometer [1]. The foundations of electrocardiographic diagnosis were laid in the half century that followed. After the second world war electronic pen-writing recorders made their appearance and quickly pushed the bulky string galvanometers from the scene, notwithstanding a far inferior frequency response. Standards for performancewere then issued thatwere unfortunately based on the frequency characteristics of this type of equipment. We will return to this subject in the chapter on theminimum bandwidth requirements for the recording of pediatric ECGs.
Numerical study on two-phase turbulent flow of blunt combustor with strongly swirling flow

AHELIBAI HEINATI , ZHIQIANG LI , GAN DONG * 1 National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics, School of Energy Power Engineering, Beihang University, Beijing 100191, China National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics, School of Energy Power Engineering, Beihang University, Beijing 100191, China National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics, School of Energy Power Engineering, Beihang University, Beijing 100191, China ahelbai@126.com, lizhiqiang@buaa.edu. cn, dg19881208@126.com
SIBSHIP SIZE , FAMILY ORGANIZATION AND CHILDREN ’ S EDUCATION IN SOUTH AFRICA : BLACK-WHITE VARIATIONS *

Recent studies suggest that the generally observed negative sibsize-education association is much less consistent in developing nations, partly because of different cultural customs reflected in family organization. Using data from a national survey in the early 1990s and from the 1996 census, the present study assesses the effect of number of siblings on education in South Africa. In a multi-level framework, I link family arrangements to the sibship size effect on education for two major population groups with distinctive family arrangements, Whites and Blacks. A negative effect exists for Whites, who have adopted a Western nuclear family system, whereas no effect is shown for Blacks, whose family life operates under extended family organization. The study goes beyond previous efforts by explicitly testing the hypothesis that it is extended family arrangements that protect children from negative sibship size effects: results show that the absence of a negative sibship size effect is restricted to extended households; in Black nuclear and fostering families, by contrast, the negative effect holds just as it does for White families. Sensitivity tests are performed to gauge the extent to which the observed sibship size effect is contaminated by endogeneity and a confounding birth order effect. Results suggest the observed differential sibship size effect is relatively robust for Blacks, whereas for Whites it tends to be exaggerated by endogenous factors.
Characterization of Interface States in MOS Systems by Using Photonic High-Frequency Capacitance-Voltage Responses

Based on the photonic high-frequency capacitance-voltage response of Metal-OxideSemiconductor capacitors, we report an improved characterization method for the analyzing of interface states in MOS systems. An optical source with a photonic energy Eph = 0.943 eV (λ = 1314.5 nm) is employed for photonic deep-depletion (fast sweep rate) high-frequency Capacitance-Voltage (photonic DD HF-CV) characterization of interface states distributed in the photo-responsive energy band. Using the photonic DD HF-CV characterization, we obtained a U-shaped distribution of Dit over (EV +Eg/2− qφf ) < Et < (EV +Eg/2− qφf + qφS) for N-type Metal-Oxide-Semiconductor capacitors and (EC − Eg/2 − qφf + qφS) < Et < (EC − Eg/2 − qφf ) for P-type Metal-OxideSemiconductor capacitors.