Counter Model Research Articles

Testing the validity of the broaden-and build theory of positive emotions: a network analytic approach.

The Broaden-and-Build Theory of positive emotions is one of the best known and applied theories in Positive Psychology. It argues that positive emotions initiate an upward movement by opening up the mind and broadening thoughts and thus represents a counter model to the vicious circle-models of clinical psychology. The number of studies directly testing this theory in all components is scarce, ambiguities in the model impede clear inference. To draw a conclusive picture on within-model processes, we applied network modeling on the components of the theory across two studies (N 1 = 312; N 2 = 302). In both studies, the positive relationship between positive emotions, resources and life outcomes is well-supported, yet the role of broadening, as an intermediary component within these is questioned. As the broadening component consistently deviated from the model's predictions and thus did not contribute to the model as expected in either study, the validity of the Broaden-and-Build Theory in its current conceptualization is challenged, and our results point to the need to reassess the role of broadening.

Improved IVUS and VH-IVUS image segmentation using a hybrid approach based on active counter model and clustering algorithms

Improved IVUS and VH-IVUS image segmentation using a hybrid approach based on active counter model and clustering algorithms

Middle school mathematics teachers’ knowledge of integers

The current research aimed to unpack teachers’ knowledge of integers by investigating how they used the number line and counter models to represent the two meanings of division (i.e., partitive and measurement). The participants were three middle school mathematics teachers working in different cities in Türkiye. Data consisted of teachers’ written responses to an open-ended questionnaire consisting of four division operations and interviews conducted thereafter. Findings revealed that although two teachers could accurately model all division operations with the number line model, one teacher could neither provide a problem context nor a model displaying one of the division operations. For the counter model, only one teacher could accurately model all division operations in the questionnaire.

Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification.

Diabetic Retinopathy (DR) is a major type of eye defect that is caused by abnormalities in the blood vessels within the retinal tissue. Early detection by automatic approach using modern methodologies helps prevent consequences like vision loss. So, this research has developed an effective segmentation approach known as Level-set Based Adaptive-active Contour Segmentation (LBACS) to segment the images by improving the boundary conditions and detecting the edges using Level Set Method with Improved Boundary Indicator Function (LSMIBIF) and Adaptive-Active Counter Model (AACM). For evaluating the DR system, the information is collected from the publically available datasets named as Indian Diabetic Retinopathy Image Dataset (IDRiD) and Diabetic Retinopathy Database 1 (DIARETDB 1). Then the collected images are pre-processed using a Gaussian filter, edge detection sharpening, Contrast enhancement, and Luminosity enhancement to eliminate the noises/interferences, and data imbalance that exists in the available dataset. After that, the noise-free data are processed for segmentation by using the Level set-based active contour segmentation technique. Then, the segmented images are given to the feature extraction stage where Gray Level Co-occurrence Matrix (GLCM), Local ternary, and binary patterns are employed to extract the features from the segmented image. Finally, extracted features are given as input to the classification stage where Long Short-Term Memory (LSTM) is utilized to categorize various classes of DR. The result analysis evidently shows that the proposed LBACS-LSTM achieved better results in overall metrics. The accuracy of the proposed LBACS-LSTM for IDRiD and DIARETDB 1 datasets is 99.43% and 97.39%, respectively which is comparably higher than the existing approaches such as Three-dimensional semantic model, Delimiting Segmentation Approach Using Knowledge Learning (DSA-KL), K-Nearest Neighbor (KNN), Computer aided method and Chronological Tunicate Swarm Algorithm with Stacked Auto Encoder (CTSA-SAE).

The effect of air velocity and indoor ambient properties on the effective operating range of an air ionizer device

Air ionizers are devices that purify the indoor air by artificially generating negative air ions (NAIs) which are proven to improve air quality and well-being of humans. Hence, more ionizers are being incorporated into heating, ventilation and air conditioning (HVAC) applications nowadays. . Every ionizer has its effective range of operation, which is the area inside a room that can potentially be covered by significant concentration of NAIs compared to the general concentration of ions naturally present in the room. This range may change depending on the indoor temperature, humidity and fan speed of the HVAC unit as preferred by the room occupants. Present research intends to design an experimental setup that could measure negative air ion (NAI) concentration at varying distances from an ionizer under different values of the aforementioned parameters. The experiment was conducted inside an indoor psychrometric test room to allow controlling of ambient temperature and humidity. Air velocity through the ionizer was varied from 1.5 m/s to 4.5 m/s, whereas the range of temperature and relative humidity were set from 25°C to 31°C and 60% to 80% respectively. To evaluate the ionizer’s operating range, NAI concentration was measured at every preset longitudinal (0 cm to 75 cm), lateral (-25 cm to 25 cm) and elevation (-15 cm to 15 cm) distance relative to the ionizer for 6 minutes using an ion counter named “Air Ion Counter Model AIC2”. The results reveal that the ionizer’s effective operating range increased with velocity, with the furthest range recorded at 4.5 m/s. Whereas a negative correlation was found between the ionizer’s effective operating range with temperature and humidity, with the furthest range recorded at 25°C and 60% respectively. The results also show that most ions were distributed in areas below and towards the right side from the ionizer’s perspective.

Extending systems factorial technology to errored responses.

Systems factorial technology (SFT) is a theoretically derived methodology that allows for strong inferences to be made about underlying processing architectures (e.g., whether processing occurs in a pooled, coactive fashion or in serial or in parallel). Measures of mental architecture using SFT have been restricted to the use of error-free response times (RTs). In this article, through formal proofs and demonstrations, we extended the measure of architecture, the survivor interaction contrast (SIC), to RTs conditioned on whether they are correct or incorrect. We show that so long as an ordering relation (between stimulus conditions of different difficulty) is preserved, we learn that the canonical SIC predictions result when exhaustive processing is necessary and sufficient for a response. We further prove that this ordering relation holds for the popular Wiener diffusion model for both correct and error RTs but fails under some classes of a Poisson counter model, which affords a strong potential experimental test of the latter class versus the others. Our exploration also serves to point to the importance of detailed studies of how errors are made in perceptual and cognitive tasks. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Estimation of excess life cancer risk and annual effective dose for boreholes and well water in Dutse, Jigawa State Nigeria

The level of 222Rn concentration for water samples collected from twenty-two (22) water samples in Dutse Local Government, Jigawa State, Nigeria was determined using liquid scintillation counter (Model: Tri-CarbLSA1000). Borehole and local hand dug wells are the two sources of water been collected. Also, an attempt was made to estimate the Excess Life Cancer Risk and Annual Effective Dose due to Ingestion for different ages groups. The mean value of 222Rn concentration were found to be 82.7461 and 94.10771 BqL-1 for boreholes and well water samples respectively. All the mean values are above the maximum concentration level set by UNSCEAR; WHO, but below European commission of 100 BqL-1. The resulting mean annual effective doses due to ingestion of radon in the water samples for infants, children and adults, were1.057081 and 1.202226 mSvy-1, 0.90607 and 1.030479 mSvy-1 and 0.604047 and 0.686986 mSvy-1, respectively. Also, the resulting mean Excess life cancer risk due to ingestion in borehole and well water sample for adults, children and infants were 2.114E-3 and 2.37 E-1, 3.171 x 10-3 and 3.61 E-3 and 3.7 E-4 and 4.21 E-3 respectively. All the values were found to be above the maximum concentration level for drinking water and domestic purposes. as set by UNSCEAR, WHO, EU and USEPA. From the radiological point of view, this study indicates that water resources around Dutse Local Government Area Jigawa State were not safe for domestic purposes and drinking.

Public spaces as a palimpsest of city layers: The case of Baharestan Square in Tehran (Iran)

This paper intends to underline the importance of historic public spaces as the deposits of collective memories, proposing the critical analysis, reinterpretation, and systematization of relevant informative historical layers as a counter model to the globalizing tendencies and their fast pace of transformation. Baharestanis a historic square located in the northeast of Tehran?s Historic Center, and it is the home to Iran?s Parliament and the Ministry of Culture. It makes the square significant at the national level, especially due to its location surrounded by several exquiste historical heritage buildings. However, following the decline of Tehran?s historic center, Baharestan lost its socio-cultural vitality and spatial quality, hosting urban functions mainly heterogeneous to its identity, and eventually turning into a traffic node. Through the comparative study of numerous historical documents, and adapting the concept of ?palimpsest?, Baharestan Square has been interpreted as the assemblage of different city layers in relation to the environmental and socio-political narratives of the city. The shift from one layer to another intends to reflect some of the lost memories of Tehran and its collective identity in the transition from traditional to modern society. Later on, the paper argues how this palimpsest quality and co-evolution of those plural layers and narratives in Baharestan demonstrate this symbolic square as a ?catalytic social infrastructure?, giving Tehran an opportunity to overcome the challenge of ?social amnesia? and promoting its civic culture and cohesion.

Coastline Extraction from GF-3 SAR Images Using LKDACM and GMM Algorithms

Coastline detection using a Gaussian Mixture Model (GMM) applied to synthetic aperture radar (SAR) imagery is usually inaccurate due to the inherent noise of SAR data. In addition, the traditional active counter model is sensitive to the initial position of the contour line and requires a large number of iterations to converge to a solution. In this study, we first used the GMM algorithm to segment the SAR images and obtain a coarse land and sea segmentation map. This map is then used as the initial position for a subsequent active contour model. The K distribution was introduced into the local statistical active contour model to better model the SAR image. The Gaussian distribution-based local active contour model and the algorithm detailed in this paper were used to perform coastline extraction experiments on four SAR images. Four GF-3 SAR images with different modes were collected to validate the efficiency of the proposed method. The experimental results show that the coastline extraction methods from SAR images based on the GMM algorithm and the K distribution-based local statistical active contour model (LKDACM) overcame the shortcomings of the traditional active contour model to accurately and quickly detect coastlines, thus enabling the detection of coastline changes.

Enesemääramise paleus ja pragmaatika: Tartu versus Pariis

Enesemääramise paleus ja pragmaatika: Tartu versus Pariis

Particulate matter in aerosols produced by two last generation electronic cigarettes: a comparison in a real-world environment

The design of e-cigarettes (e-cigs) is constantly evolving and the latest models can aerosolize using high-power sub-ohm resistance and hence may produce specific particle concentrations. The aim of this study was to evaluate the aerosol characteristics generated by two different types of electronic cigarette in real-world conditions, such as a sitting room or a small office, in number of particles (particles/cm3).We compared the real time and time-integrated measurements of the aerosol generated by the e-cigarette types Just Fog and JUUL. Real time (10s average) number of particles (particles/cm3) in 8 different aerodynamic sizes was measured using an optical particle counter (OPC) model Profiler 212-2. Tests were conducted with and without a Heating, Ventilating Air Conditioning System (HVACS) in operation, in order to evaluate the efficiency of air filtration.During the vaping sessions the OPC recorded quite significant increases in number of particles/cm3. The JUUL e-cig produced significantly lower emissions than Just Fog with and without the HVACS in operation.The study demonstrates the rapid volatility or change from liquid or semi-liquid to gaseous status of the e-cig aerosols, with half-life in the order of a few seconds (min. 4.6, max 23.9), even without the HVACS in operation. The e-cig aerosol generated by the JUUL proved significantly lower than that generated by the Just Fog, but this reduction may not be sufficient to eliminate or consistently reduce the health risk for vulnerable non e-cig users exposed to it.

The influence of gasoline fuel additive on the motorcycle PM0.1 emission factor

Fuel additive has been known to improve vehicle performance by raising the octane number or cleaning the combustion system. The performance enhancement might affect vehicle emission. In this research, we aim to investigate the impact of fuel additives on the PM0.1 emission. The commercial additives were evaluated based on the factory’s recommended concentration for the mixture fuel. The additive effect on the PM0.1 emission was investigated by measuring the PM0.1 concentration emitted by the motor engine operated using fuel with and without additives. The PM0.1 concentrations were measured using a TSI P-TrakTM Ultrafine Particle Counter Model 8525. The exhaust emission was injected into the chamber for 100 seconds for the PM0,1 concentration measurement. The emission factor was calculated by the total PM0.1concentration per the volume of the burned fuels. The result shows that fuel additives reduce the PM0.1 emission factor depending on the type of the additive. additives reduce the PM0.1 emission factor depending on the type of the additive.

Drinking to the Future: Wine in Communist Bulgaria

This article explores wine production, consumption and trade in the context of late socialist Bulgaria and the wider Eastern Bloc. In particular, it connects wine to the process of building legitimacy in Bulgaria, as part of post-Stalinist culture of consumer abundance and even connoisseurship that was steeped in nationalist narratives and meanings, as well as utopian visions of the future. To complicate such narratives, it also delves into the contradictory ways in which late-socialist anti-alcohol narratives and campaigns similarly looked to local, if not national, precursors to ground their counter model of a sober socialist present and communist future.

ASSESSMENT OF ANNUAL EFFECTIVE DOSE DUE TO INHALATION AND INGESTION OF RADON IN WATER SAMPLES FROM THE CEMENT INDUSTRIAL AREA OF SOKOTO, NORTH-WESTERN NIGERIA

Water remains the most abundant and critical commodity for guaranteeing the continuity of human lives on earth. Ensuring cleanliness of water for human consumption is of paramount importance. The 222Rn concentration has been assessed in drinking water samples collected from various water resources used by communities around Sokoto Cement Company, with the view of assessing the radiological risk, if any, to human health. The sources of collected water samples were hand pumps and hand dug wells and water seepages. Determination of radon concentration was conducted using liquid scintillation counter (Model: Tri-Carb-LSA1000) following standard procedures. The overall mean value of 222Rn concentration was found to be 34±3.7 Bq/L The resulting mean annual effective doses due to inhalation of radon in the water samples was 41 μSvy-1, while ingestion for adults, children and infants were 248±27 μSvy-1, 372±40 μSvy-1 and 434±47 μSvy-1 respectively. These values are above the recommended benchmarks prescribed by UNSCEAR, WHO, European commission and USEPA guiding the utilization of water for drinking and domestic purposes. This indicates that the water resources around the cement company are not safe for drinking and domestic purposes from the radiological point of view.

Web Page Recommendation Using Genetic and Feed Forward Association Rule on Web-Log Features

As websites are increasing day by day, so user behavior analysis for improving the website performance attracts many researcher. This paper introduces the web page recommendation model using web log feature of web mining. Here work has introduce Feed forward counter model (FFC) for identifying the association rule with single data iteration technique. Hence execution time for this gets reduced. Work has introduced the Particle swarm optimization algorithm for the selection of appropriate page from given user path as recommendation page. This work involves support of the association rule as fitness value. Experiment was done on real dataset obtained from project tunnel website. Results shows that by the use of Feed forward association rule with PSO for next page recommendation system has improve various evaluation parameters like precision, coverage, m-metric.

Improving energy indicators of the charging station for electric vehicles based on a three-level active rectifier

A new structure of the charging station for electric vehicles has been proposed, which was developed on the basis of a three-phase transformer and a three-level active four-quadrant rectifier with the power factor correction. This paper describes the parameters of the proposed structure of the charging station and gives the parameters for the replacement circuit of the battery compartment in the electric car TESLA, model S, which was reduced to a single equivalent battery. We have described a method for fast charging the battery with constant current and constant voltage CC-CV, which ensures a greater number of battery charge-discharge cycles. The mathematical formulae have been given for calculating the power losses components and the efficiency of the proposed structure of the charging station over a full interval of the battery charge. We have outlined a system of automated control over the charge current and voltage, which is based on the pulse-width modulation of the second order and an integrated regulator. The simulation model of the proposed structure of the charging station, built in the MATLAB/Simulink programming environment, has been presented, as well as the simulation results: the oscillograms of input and output currents and voltages, the dynamics of the charge current regulator operation. The polynomial approximation of the IGBT-modules energy characteristics aimed at calculating the static and dynamic losses in the power switches of an active rectifier has enabled the construction of a loss counter model. It has been shown that increasing the value of a charge current under the CC mode decreases the resultant integrated value of the charge process efficiency, but, at the same time, the power factor increases and the emission of higher harmonics decreases. We have performed the optimization of power losses in the proposed system of the charging station based on the parameters of the minimal charge current and the modulation frequency in PWM. Our analysis of the components of energy losses in the proposed structure has confirmed its energy efficiency in comparison with other existing structures. The advantage of the proposed structure is that it enables improved efficiency and power factor while lowering the emission of current higher harmonics. The following system indicators have been obtained: the integrated efficiency value of the electric car full charging process using a CC-CV method is 95.6 %, the power factor is 0.99, the total harmonic distortion coefficient of the input current is 2.5 %

Two images of Nantes as a ‘green model’ of urban planning and governance: the ‘collaborative city’ versus the ‘slow city’

This article examines how the city of Nantes, European Green Capital in 2013, came to promote plans for a new international airport at Notre-Dame-des-Landes. Deploying poststructuralist discourse theory, it analyses how the highly politicised struggle against the airport reveals the limits of the Nantes model of urban sustainability and collaboration, giving rise to a counter model, which we provisionally characterise as the ‘slow city’. While the struggle against the airport can be understood as a rural social movement, we show how its ideals and logics have been progressively displaced to Nantes itself, disclosing new images and possibilities of urban governance.

ULTRAFINE PARTICLE FILTER DESIGN FOR MOTORCYCLE EMISSION EXHAUST SYSTEM: A HIGH VOLTAGE ELECTROSTATIC-BASED SYSTEM

A large number of motor vehicles in the world have been linked to the increase of the emissions, such as particulate matters and gases. These pollutants, especially for the particulate matters with the diameter less than 0.1 micrometer or ultrafine particles, become detrimental thing to the natural environment and human health. There is a need to develop a better method to decrease the particles. Thus, one step ahead of the technological improvement in the transportation sector is the development of an emission filter applied in a motor vehicle exhaust system. According to this background, we developed an ultrafine particle filtering system based on an electrostatic principle using a direct current - high voltage. The filter is based on a electrostatic principle by using uses aluminum as the anode and cathode. This filter was tested under the different DC voltage of 100, 200, 300, and 400 Volt. The efficiency of the filter was tested by measuring the motor cycle ultrafine particles before and after applying the electrostatic filter. The particle concentrations were measured by using a TSI P-Trak Ultrafine Particle Counter model 8525. The result shows that the designed filter works well in reducing the ultrafine particles., with the efficiency of 7% to 46%. The filter efficiency depends on the applied voltage.

Data by Proxy - Material Traces as Autographic Visualizations.

Information visualization limits itself, per definition, to the domain of symbolic information. This paper discusses arguments why the field should also consider forms of data that are not symbolically encoded, including physical traces and material indicators. Continuing a provocation presented by Pat Hanrahan in his 2004 IEEE Vis capstone address, this paper compares physical traces to visualizations and describes the techniques and visual practices for producing, revealing, and interpreting them. By contrasting information visualization with a speculative counter model of autographic visualization, this paper examines the design principles for material data. Autographic visualization addresses limitations of information visualization, such as the inability to directly reflect the material circumstances of data generation. The comparison between the two models allows probing the epistemic assumptions behind information visualization and uncovers linkages with the rich history of scientific visualization and trace reading. The paper begins by discussing the gap between data visualizations and their corresponding phenomena and proceeds by investigating how material visualizations can bridge this gap. It contextualizes autographic visualization with paradigms such as data physicalization and indexical visualization and grounds it in the broader theoretical literature of semiotics, science and technology studies (STS), and the history of scientific representation. The main section of the paper proposes a foundational design vocabulary for autographic visualization and offers examples of how citizen scientists already use autographic principles in their displays, which seem to violate the canonical principles of information visualization but succeed at fulfilling other rhetorical purposes in evidence construction. The paper concludes with a discussion of the limitations of autographic visualization, a roadmap for the empirical investigation of trace perception, and thoughts about how information visualization and autographic visualization techniques can contribute to each other.

Measurement of environmental radiation and analysis of microdosimetric spectra of cosmic rays during the 35th expedition to Indian station Bharati, Antarctica

Tissue equivalent proportional counter (TEPC) model HAWK FWAD-3 was used for the evaluation of absorbed dose, dose equivalent rate (ḢTEPC) and microdosimetric spectra measured (i) in the mixed radiation fields formed mainly by cosmic rays onboard aircraft during the flights between Mumbai and the Indian station Bharati (Progress air base), two polar flights at Antarctica, and (ii)ground level environmental radiation field at locations situated in three continents, namely Antarctica, Africa and Asia with different latitudes. The study also includes evaluation of absorbed dose rate, dose equivalent rate of cosmic rays and terrestrial radiation using active detectors namely RADEYE-G and BERTHOLD Rem counter. An effort was made to compare the measured dose equivalent rate by TEPC for the commercial flight routes to Antarctica with the values calculated by the software code EPCARD and a good agreement was observed. The 35th expedition to Bharati, Antarctica showed higher values of dose equivalent at the pole (Larsemann Hills region, 69°24′37.60″S, 76°11′01.70″E) than the world average for an evaluation period of six months during summer.