Miracle-dz/UniFAR-FTUs huggingface dataset:
Downregulation of RyR andNCX in the neonatal rat ventricular myocytemodulates cytosolic [Ca2+]

Funding information CaliforniaMetabolic Research Foundation Calcium (Ca2+) is necessary for cardiacmuscle contraction. RyR, NCX, and SERCA are key regulatory protein channels for cytosolic Ca2+ in cardiac myocytes. Expression levels of these proteins are a function of development, with protein expression shifting toward the adult phenotype over time. We investigated how downregulation by siRNAs of RyR and NCX affected expression levels of complimentary proteins and the corresponding intracellular Ca2+ transients. We compared experimentally observedCa2+ transients to those predicted bymathematical models. Experiments showRyR downregulation decreased SERCA and increased NCX protein levels. The associated Ca2+ transient had a decreased amplitude, increased time-to-peak, 50%, and 90%Ca2+ removal with respect to the control cell. NCX downregulation increased SERCA production without significant changes in RyR expression levels. The corresponding [Ca2+] transient had increased amplitude, no change in time-to-peak and 50% Ca2+ removal, and increased 90% Ca2+ removal with respect to the control cell. Computational models that accurately predict the observed experimental data suggest compensatory changes occurring in the expression levels as well as biochemical activity of the regulatory proteins.
Advanced Flight Data Analysis

The commercial aviation industry provides the safest form of transportation in the world. Nevertheless the pressure for continued improvement in safety will remain in response to the predicted growth in both passenger and freight traffic volumes. One of the most important tools to improve the safety of flight operations is to have a Flight Data Monitoring program implemented. Such a program obtains and analyses data recorded in flight. The prime objective of such a program is to detect deviations from flight manual limits and standard operating procedures. The use of flight data for these purposes employs only a very small fraction of the data generated by the on-board recorders. Every routine flight generates an enormous amount of data that are never used. The analysis of routine flights introduces a wide range of new possibilities and problems to airlines. This paper describes the activities of the National Aerospace Laboratory NLR regarding the development of techniques and ideas for analysing routine flight data. Based a number of reallife examples a comparison is made between traditional flight data analysis and advanced flight data analysis. Ideas for correlation of flight data with other available data sources are discussed. It is concluded that the extension of monitoring flight exceedances to the day-to-day data analysis of each flight is important to the goal of continued improvement in aviation safety. Even more can be expected from the correlation and analysis of human factor data and environmental data with flight data up to the level of day-to-day operations.
Correlation between Dynamic Balance and Reaction Time in Children between Age 9-13 Years: An Observational Study

Background: An efficient reaction time is closely associated with the ability to maintain equilibrium. Between the ages 6 10 years, children develop the skills to maintain balance under dynamic conditions which are essential for activities like sports, dance, etc. By the age of 11 years, children attain optimum reaction time. Objective: to find whether any correlation exists between dynamic balance and reaction time in children between age 9 13 years. Method: 105 participants between the ages 9 13 years were selected in the study based on inclusion and exclusion criteria. Reaction time and dynamic balance were assessed using the ruler drop test and The Y Balance test respectively. The data was collected and statistically analyzed. Results: The correlation of reaction time and dynamic balance scores were statistically analyzed, indicating a strong negative correlation with an r value of . 864. Conclusion: This study concludes that reaction time shows a strong negative correlation with dynamic balance in school children between the age 9 13 years (r = 0.864).
A Survey of Convolutional Neural Networks For Mammograms

: The study of Mammograms is important as it allows an inside look into the breast health of women. It serves to be a preventive screening method for Breast Cancer. A Radiologist is able to detect variations in breast tissue such as calcifications, masses, and also comment on the density of the breast. These findings aid in the early detection and diagnosis of breast diseases. Studying a mammogram however is a tedious and time-consuming task that additionally requires a certain amount of experience. Automating detection and classification of masses, identifying regions of interest, and determination of breast density all aid a Radiologist to effectively and quickly report the findings in a Mammogram. This paper gives an overview of the current work that has been directed to accomplish this objective utilising Deep Learning techniques.
Rating Prediction System From Textual Review

: We saw a twist with blogs discussing it. It shows an amazing opportunity to share our thoughts on the different items we buy. In any case, we face the issue of overloading the details. Instructions for extracting important feedback data to understand the needs of a client and to make an accurate recommendation is essential. Traditional recommender system (RS) thinks of some as items, such as buy records for customers, item classification, and geographic area. In this study, we are proposing a sentiment-based rating prediction technique (RPS) to boost the precision of expectations in frameworks to recommend. First, we suggest an emotional measurement approach for social clients and quantify the feelings of each client regarding items / products. In addition, we consider the own sentimental attributes of a client but also take into account the interpersonal sentimental influence. At that point, we consider the reputation of items, which can be induced by a client set's sentimental distributions reflecting the complete assessment of clients. Finally, we combine three factors: comparability of client opinion, interpersonal sentimental impact, and similarity of credibility of the item in our recommender system to make an accurate prediction of the ranking. On a real-world dataset we conduct a performance assessment of the three emotional variables. Our test shows that the feeling can well characterize client preferences, which improves the performance of the recommendation.
Circulating Tumor Cells in Esophageal Squamous Cell Carcinoma – Mini Review

: Esophageal cancer has high incidence and mortality rates and a low five-year survival rate of <15% owing to its strong capabilities of invasion, relapse and metastasis. The classic view holds that metastasis and diffusion is an advanced event during cancer progression, but recent studies show that distant diffusion of primary cancer cells may actually be an early event. Detection of circulating tumor cells (CTCs) in the circulation may indicate tumor spread, so CTCs are considered to be the key factor of metastatic cascade. In recent years, despite research progress on CTCs, there is a lack of systematic and important evidence to confirm the diagnostic, monitoring and prognostic values of CTCs in esophageal squamous cell carcinoma (ESCC). In this review, we clarify the relationship between CTC values and ESCC and provide more reliable evidence to improve the management and treatment of ESCC.
Photovoltaic Power Supplies for Telecommunication Systems in Remote Areas

The present R and D activities of AEG-TELEFUNKEN in developing pv power supplies for remote communication systems are reported, including the automated techniques for pv panel production using 10*10 cm/sup 2/ multicrystalline Si-cells as well as optimized component development. Various systems installed for powering several isolated communication systems such as radio telephone, transmitters and relay stations are described. 3 refs.
MSECA: MICROBLOG SUBSPACE ENSEMBLE CLUSTER APPROACH FOR PREDICTING USER INTEREST ON SEMANTIC WEB LOGS RECOMMENDATION IN WEB MINING

: Web search engines are designed to serve all users, independent of the special needs of any individual user. The objective of the project is to develop a personalized web search engine which considers users interest and generates search results based on the user's semantic profile from web links. The proposed system utilizes clustering and re-ranking algorithms in order to organize the web documents and provide an order to the results displayed to the user this paper proposed an automatic microblog subspace ensemble clustering algorithm (MSECA) based on entropy for discovering the interest pattern over users' web log with dynamic rank prediction process (DRP). We introduced the information entropy on the basis of clustering algorithm. Compared with traditional clustering algorithms, our method does not require any parameters specified by the end user. Meanwhile, it can discover the clusters in arbitrary shape and size. Experimental results over real-world dataset have fully demonstrated the advantage of our algorithm, which is effective in the problem of high-dimensional and non-informative prior’s pattern link prediction. The framework also implies the keywords that help to incorporate user’s current interest. Finally, experimental result shows the effectiveness of proposed search engine with commercial search engine in different criteria
S R ] 3 0 N ov 2 01 1 Radius Dependent Angular Momentum Evolution in Low-Mass Stars

Angular momentum evolution in low-mass stars is determined by initial conditions during star formation, stellar structure evolution, and the behaviour of stellar magnetic fields. Here we show that the empirical picture of angular momentum evolution arises naturally if rotation is related to magnetic field strength instead of to magnetic flux, and formulate a corrected braking law based on this. Angular momentum evolution then becomes a strong function of stellar radius, explaining the main trends observed in open clusters and field stars at a few Gyr: the steep transition in rotation at the boundary to full convection arises primarily from the large change in radius across this boundary, and does not require changes in dynamo mode or field topology. Additionally, the data suggest transient core-envelope decoupling among solar-type stars, and field saturation at longer periods in very low-mass stars. For solar-type stars, our model is also in good agreement with the empirical Skumanich law. Finally, in further support of the theory, we show that the predicted age at which low-mass stars spin down from the saturated to unsaturated field regimes in our model corresponds remarkably well to the observed lifetime of magnetic activity in these stars.
Detecting the Trajectory Community Based on the User Suggestion

: Data mining is an enactment of inspecting the enormous preceding databases in order to produce new information. In this paper we will be detecting communities from trajectories. In existing algorithm trajectory clustering is performed based on a single information source such as location data, regrettably additional information are ignored, due to these discovering the communities in trajectory data sets are not trustfully. To overcome these we proposed trajectory community for the multi-source scattered modeling based on the user recommendation. It combines additional information with raw trajectory data and fabricate the scattered process on multiple similitude metrics. Based on these scattered modeling we will be constructing the multi-modal scattered process and optimizing the heat kernel to learn the ordered kernel. Then compact sub-graph detection is used to discover the set of diverse communities. At last based on this information, we proposed a novel model for user recommendation.
Investigation of failure processes in porous battery substrates: Part II--simulation results and

Models are presented for the evolution of transport and mechanical properties of nickel-metal hydride (NiMH) battery substrates. In the first paper in this series, conductive losses and enhancement of mechanical properties in these materials were quantified experimentally. These were quantitatively shown to be related to observed morphological changes in the substrate materials. Here, an evolution hypothesis for changes in these structures is presented, along with a simplified approximation of the real material microstructure (porous fiber/powder nickel network) with a tractable simulation geometry (porous fiber networks). Transport and mechanics models are then compared with experimental results, with stochastically-arranged fibers approximated as conductive beams connected by elastic torsion springs. Both quantitative and qualitative agreement are found with the models. Limitations of the approaches proposed are also discussed, along with the consequences of the simplifications of geometry for analysis.
Estimación de la característica de Inductancia de fase del Motor de Reluctancia Conmutada MFR 132.1 Estimation of phase inductance profile of MFR 132.1 switched reluctance motor

En el presente trabajo se enuncia la idea fundamental en la que se basan todos los metodos empleados para la estimacion de los parametros de fase de los motores de reluctancia conmutada. Se describe, ademas, un algoritmo de division con punto decimal fijo en lenguaje VHDL. El algoritmo descrito se utiliza posteriormente para la estimacion de la inductancia de fase del motor de reluctancia conmutada MFR 132.1, mediante el empleo de la tecnica invasiva de modulacion de amplitud con senales de tension pulsantes de tres estados. Se diseno y construyo una instalacion experimental sobre la base de un FPGA de Actel, de la familia ProASIC 3 modelo A3P250, para el procesamiento de las senales. Finalmente se exponen y comentan las caracteristicas de inductancia de fase del motor de reluctancia MFR 132.1, obtenidas. In the present work is enunciated the fundamental idea of all the methods used for the estimation of phase parameters in the switched reluctance motors. The fixed point division algorithm employed to estimate the inactive phase inductance profile of the MFR 132.1 switched reluctance motor, is described in VHDL programming language. The algorithm implements the intrusive estimation technique of amplitude modulation with three states pulsating signals. The structure of the experimental set up for the digital signal processing, which is based on the Actel FPGA ProAsic 3 A3P250 development kit, is depicted. Finally, the inactive phase’s inductance profiles, which were experimentally obtained, are shown for different voltage values in the Direct Current converter link.
Los Consejeros Dominicales Y La Rotación Del Primer Ejecutivo. Evidencias De Las Empresas Cotizadas Españolas 2007-2010 (CEO Succession and Proprietary Director: Evidence from Spanish Listed Firms from 2007 to 2010)

Este trabajo avanza en la investigación sobre la sucesión del CEO, la composición del consejo y las redes de consejeros, examinando cómo los consejeros dominicales y la pertenencia a múltiples consejos afectan a la probabilidad de despido del máximo responsable ejecutivo de la compañía. Haciendo uso de una nueva base de datos que cubre todas las sucesiones de CEO ocurridas en las empresas cotizadas españolas durante el periodo 2007-2010, proponemos que los consejeros dominicales pueden incrementar los esfuerzos de supervisión y vigilancia por parte del consejo sobre el CEO, obligándolo a dimitir en situaciones de bajo desempeño. El estudio también aborda la pertenencia a múltiples consejos, ofreciendo evidencias sobre los efectos beneficiosos que esas consejerías proporcionan, al permitir acumular experiencias y aprendizaje de primera mano en otras compañías. Las hipótesis se contrastan longitudinalmente, utilizando los datos sobre las sucesiones de CEO tomadas de 111 empresas cotizadas en el mercado continuo en un periodo de 4 años.
Driving Simulator as an Evaluation Tool – Assessment of the Influence of Field of View andSecondary Tasks on Lane Keeping and Steering Performance

The development of new and sophisticated in-car systems fostered by technical innovation demands careful evaluation of these systems. Driving simulation is an important tool for this kind of evaluation. In-depth knowledge of the driving simulator as a tool as well as of measures recorded and calculated while using the simulator is needed to improve new driver information systems or similar devices during the development process. For this reason, two experiments were conducted to investigate the sensitivity of lane keeping and steering measures. Participants were exposed to varying fields of view as well as cognitive and visual-motor secondary tasks. The results yielded by the two experiments were quite consistent. All used measures are more sensitive to a visual-motor secondary task and the reduction of the peripheral field of view than to a cognitive secondary task. Out of the various steering measures the “High Frequency Component of Steering Wheel Angle” and the “Steering Wheel Reversal Rate” showed the best results. “Time to Line Crossing” and the “Standard Deviation of Lateral Position” were the most sensitive of the lane keeping measures. Since the level of difficulty in implementing and analyzing the examined measures differs widely these results can help to choose suitable measures in an economic manner. Analyses showed that a harmonization process is needed with regard to the various calculation methods of some of the measures. Another topic was subjects’ level of experience with the driving simulator. The authors found that only a short period of training was needed to be perfectly prepared for this kind of experiment. Interpretation of the results is limited to male persons between the age of 20 to 36 years.
Influence of Livestock on Nonpoint Source Nutrient Levels of Streams

ABSTRACT TEN agricultural watersheds with widely varying populations of livestock were instrumented to collect samples of lowflow and storm-event nutrient concentrations. Conducted in the Piedmont and Coastal Plain of North Carolina, the investigation demonstrated that much higher concentrations of nutrients occur in watersheds with extensive artificial drainage and larger nonpoint source populations of livestock than in similar agricultural watersheds with low populations of livestock. In addition, comparisons were made with nutrient levels previously recorded in forested watersheds in North Carolina. For total phosphorus, agricultural watersheds without high populations of livestock had mean concentrations 5 to 10 fold greater than mostly forested watersheds, while those with high populations of livestock approached 50 fold increases. For total inorganic nitrogen, the increases over forested watersheds approached 100 fold for agricultural watersheds with high populations of livestock. Observations are made concerning the production of stormflow from variable source areas in the watershed and the significance of animal waste and agricultural drainage improvements in causing elevated levels of nutrients in coastal waters.
PLANTS VS ZOMBIES AS AN EMPOWERING LEARNING MACHINE

What makes the computer game Plants vs. Zombies engaging and a successful learning machine? In the game, vegetables and flowers defeat zombies by shooting peas, coconuts, and watermelons, and delaying the zombies by feeding them walnuts. The game is a classic strategic tower defence game in a vegetarian game universe. The game provides a unique example of seamlessly blending the tutorial into the gameplay. This article analyses the game in order to identify engaging elements that can be used in the design of serious games. Empowerment and well-ordered problems were key elements found in the analysis of the gameplay in Plants vs. Zombies. Empowerment can be split into active participation, meaningful feedback, co-design, identity, and identification. The second key element, i.e. well-ordered problems, can be divided into pleasantly frustrating, cycles of expertise, strategies to achieve goals, and stripped-down version. Meaningful and engaging gameplay makes the player invests a lot of time in playing, and can trigger deep learning. A first-hand experience of playing computer games gives valuable input for designing serious games. The first-hand experiences are also valuable in the classroom when relating game design theory to real-life experiences.
A novel space vector control of three-level PWM converter

In this paper, a novel space-vector PWM control method of three-level converter is proposed. The effect of the motor's phase current to DC voltage balance is analyzed in detail. After that, a new DC-voltage balance method is carried out. Compared to the conventional one, this method can adjust the DC voltage under all kinds of loads. At last, it is verified by experimental results.
EEWES: an energy-efficient wireless sensor network embed-ded system to be applied on industrial environments

Nowadays, the vast majority of information monitoring in industrial plants is still carried out by wired technologies, in which the installation and maintenance cost is high. However, in outdoor applications, such as those used in the oil and gas industry, the use of Wireless Sensor Networks (WSN) is increasing due to mobility, reliability, and low cost of the sensor nodes that make up the network. Moreover, this solution reduces the risks of workers in classified areas (regions with high probability of accidents occurrence) to the extent that the equipment maintenance is optimized. This paper proposes the development of the EEWES, an energy efficient wireless sensor network embedded system, which can be applied on industrial environments. This development approach significantly reduces the energy consumption of the sensor nodes by using a method that alternates sleep periods of the transceiver/sensor set with data transmission/reception periods, which reduces the duty cycle while keeping the desirable parameters of the service quality (QoS). The results presented in this paper will be confirmed by field tests.
Proliferation, apoptosis and their regulatory protein expression in colorectal adenomas and serrated lesions

Background Adenomas and serrated lesions represent heterogeneous sets of early precursors in the colorectum with varying malignant potential. They are often distinguished by their histopathologic differences, but little is known about potential differences in regulation of epithelial proliferation and apoptosis. Methods We conducted a protein expression analysis using tissue microarrays of 625 colorectal adenomas and 142 serrated lesions to determine potential differences in regulation of epithelial proliferation and apoptosis. We quantitated proliferation with Ki-67; apoptosis with activated caspase-3 (CASP3); up- and down-regulators of proliferation with cyclin D1, p16INK2, and p21Cip1; and apoptosis regulators with BAX, BCL2, and survivin. Linear mixed effects models and circos diagrams were used to determine relationships among expression and lesion characteristics. Results Adenomas had a significantly higher CASP-3 labeling index (LI) than serrated lesions, resulting in a lower net growth ratio (Ki-67 LI/activated CASP-3 LI, p-value<0.0001). Cyclin D1 LI, p16 LI and p21 LI were lower in adenomas compared to serrated lesions, while expression of both BCL2 and BAX were higher (p <0.001). Among adenomas, cyclin D1 LI and p16 LI levels increased with greater villous component, and the highest BAX expression was detected in adenomas larger than 2 cm (both p<0.0001). Right-sided adenomas had higher CASP3 LI than left colorectal adenomas (p = 0.008). Significant differences in cyclin D1 LI, p21 LI and survivin LI were also observed across histopathologic subtypes of serrated lesions. Conclusions Our findings demonstrate different patterns of regulatory protein expression in adenomas than serrated lesions, especially involving apoptosis. ClinicalTrials.gov Identifier: NCT00272324