Assessing the Effect of Instructor’s Emotional Intelligence (EI) on the Students’ Satisfaction Index (SSI): Meta-Analysis of University Students

The present study aims to examine the relationship of instructors’ emotional intelligence (EI) with the satisfaction index of their corresponding students. For this purpose, data were collected from 650 full-time students and 6 male instructors from a major Middle Eastern University. Emotional intelligence of the instructors was measured with the help of average of students’ responses with the weightage of each assessing parameter, i.e., self-awareness, self-management, social awareness, and relationship management which also reflected the students’ satisfaction index (SSI). Moreover, authenticity of the data was confirmed with the help of Cronbach’s alpha, and the analysis of data was carried out using descriptive statistics, correlation, and box plots. The students’ satisfaction index is calculated by correlating various parameters such as comfort, skill, learning, and motivation in order to identify the most critical parameter. For identifying the most critical parameter, box plots are used. Final results reveal a strong correlation of instructor’s EI with student satisfaction index (r = 0.951, p < 0.005 , F >> Fcritical). Findings of the study can be beneficial to highlight the importance of students’ satisfaction index (SSI) which is correlated with instructor’s EI.

Analysis of Driving Control Characteristics in Typical Road Types

Vehicle control requirements for longitudinal and lateral driver control are varied in different road geometries; this makes it irrational and superfluous to represent driving control characteristics with repetitive indices. To address this problem, the present study used multiple cross-analysis methods of vehicle running state parameters from experienced drivers in order to deeply study driving control characteristics in different road geometries. Six common road geometries with different driving control emphases were selected as typical road types and twenty-five experienced drivers were asked to perform an actual driving test. Taking the indices in the long straight road as the control variable, the indices in other roads were compared with it and judged according to the three methods: the overall distribution by box plots, significant difference test by analysis of variance (ANOVA) and relative distance calculation by technique for order preference by similarity to an ideal solution (TOPSIS). Moreover, the weight of the driving control characteristic index was calculated through the entropy weight method to reflect its importance. In this paper, the relationships between road geometry and driving control characteristics explicate the influence mechanism and interaction of road geometry on driving behavior, and the indicators that can reflect the control characteristics in different road types are obtained.

Immunogenicity and waning immunity from the oral cholera vaccine (Shanchol™) in adults residing in Lukanga Swamps of Zambia

Introduction In cholera endemic areas, the periodicity of cholera outbreaks remains unpredictable, making it difficult to organize preventive efforts. Lack of data on duration of protection conferred by oral cholera vaccines further makes it difficult to determine when to deploy preemptive vaccination. We report on the immunogenicity and waning of immunity to Shanchol™ in Lukanga Swamps. Methods We enrolled a cohort of 223 participants aged between 18 and 65 years old from whom serum samples were collected at baseline, day 28 before administration of the second dose, and consecutively at 6, 12, 24, 30, 36, and 48 months. Vibriocidal antibody titres were measured and expressed as geometric mean titres. Box plots and 95% CI were computed at each visit for both Inaba and Ogawa. Seroconversion was defined as a four fold or greater increase in antibody titres compared to baseline titres. Results Overall, seroconversion against V. cholerae Inaba and Ogawa after 1st dose was 35/134 (26%) and 34/134 (25%) respectively. We observed a statistical difference in seroconversion between the two subgroups of baseline titres (low <80 and high ≥80) for both Inaba (p = 0.02) and Ogawa (p<0.0001). From a baseline of 13.58, anti-Ogawa GMT increased to 21.95 after the first dose, but rapidly waned to 14.52, 13.13, and 12.78 at months 6, 12 and 24 respectively, and then increased to 13.21, 18.67 and 23.65 at months 30, 36 and 48 respectively. A similar trend was observed for anti-Inaba GMT across the same time points. Conclusion We found that Shanchol™ was immunogenic in our study population and that vibriocidal antibodies may not be a good marker for long-term immunity. The observed rise in titres after 36 months suggests natural exposure, and this may be a critical time window opening for natural transmission in an endemic areas. We recommend re-vaccination at this time point in high risk areas.

Species Assemblage of Birds’ Community in Protected Areas of Delhi-NCR

Green spaces in cities especially in the capital city of India provide necessary recreational, social and psychological benefits to stressing residents of the city. Cities and towns depict the extreme human-modified environments with only remnants of the original habitats present. Study undertaken to know the abundance, diversity and species richness of avian fauna in urban protected landscapes of Delhi, NCR. In the following paper, the methods include data is extracted from e-Bird of past 40 years to illustrate the changing trend of bird species from 1980-2019 from 7 greenspaces of Delhi-NCR which are Aravalli Biodiversity Park, Asola Bhatti Wildlife Sanctuary, Deer Park, Dheerpur Wetland, National Zoological Park, Northern Ridge, Okhla Bird Sanctuary, Sanjay Van, Yamuna Biodiversity Park and analysed as box plots using PAST. The result showed a varied trend from 1980-2019, which included the usage of e-Bird by the period. The result indicated that the recent decade is well updated with data on e-Bird, hence several birds’ individual is maximumly observed from 2011-2019. The study has shown the wavy trend from 1980-2019 in species composition in the capital city of India. This also suggest that people have started recording observation on a single platform and shown interest in last decade. This study will lead to taking the necessary step to maintain the avian biodiversity in the green spaces of the capital city- Delhi-NCR.

Pedogeochemical survey for uranium mineralization in parts of Igarra Schist belt, Southwestern Nigeria

Pedogeochemical survey for uranium mineralization in Dagbala-Atte district, Igarra schist belt, southwestern Nigeria was carried out. The concentrations of As, Au, Fe, Mn, Mo, Ni, Pb, Se, U and V in the residual soils were subjected to univariate and multivariate analyses and plotted on geochemical distribution maps to delineate possible U-mineralization areas. Histograms and box plots showed the elements are log-normally distributed with threshold values of 9.47 %, 10.8, 1589, 2.98, 45.6, 31.0, 0.68, 8.59, 122 ppm and 10.6 ppb, respectively for Fe, As, Mn, Mo, Ni, Pb, Se, U, V and Au. Correlation matrix revealed a strong correlation between U and each of Fe, Mo and Pb indicating close primary association among these four elements. Factor analysis revealed association of U, Mo and Pb implying possible occurrence of U in the granitic rocks of the area. Geochemical maps showed that the strongest U anomaly occurred in the northeastern part of the district that is underlain by granitic gneisses with numerous unmapable granite-pegmatite veins, which possibly are the host of the U mineralization. Copious geological study of these granite-pegmatite veins is recommended. Keywords: Anomaly, box plots, correlation matrix, geochemical distribution map, uranium mineralization.

Comparing Baseline and Intervention Phases

In this chapter readers will learn about methodological issues to consider in analyzing the success of the intervention and how to conduct visual analysis. The chapter begins with a discussion of descriptive statistics that can aid the visual analysis of findings by summarizing patterns of data across phases. An example data set is used to illustrate the use of specific graphs, including box plots, standard deviation band graphs, and line charts showing the mean, median, and trimmed mean that can used to compare any two phases. SSD for R provides three standard methods for computing effect size, which are discussed in detail. Additionally, four methods of evaluating effect size using non-overlap methods are examined. The use of the goal line is discussed. The chapter concludes with a discussion of autocorrelation in the intervention phase and how to consider dealing with this issue.

Comparison of indoor moisture excess in three different terraced housing projects

In this study three neighbourhoods of terraced houses have been investigated. In 16 to 29 houses of each project, indoor temperature and indoor humidity have been measured, inhabitants have been interviewed and Blower-Door Tests have been performed. PSG is a project with 91 similar, very airtight detached houses. More than 29 of these houses have been investigated. TES is a low-rise high-density project with 46 single family houses built in 1974. The measuring results of 20 houses with very poor airtightness have been analysed. APW is a project with 26 terraced houses built in 2012, which have mechanical ventilation systems. From APW 16 houses have participated in the study. It will be illustrated that the airtight houses of PSG have the highest absolute indoor humidity, the TES houses with the poor airtightness have medium absolute indoor humidity and the APW with the mechanical ventilation systems have the lowest absolute indoor humidity. Box plots of the moisture excess in the diagram with the humidity classes from EN ISO 13788 [1] show that the boxes do not overlap.

Surface quality control of thin SiN layer by optical measurements

Fiber optic interferometers have a wide range of applications including biological and chemical measurements. Nevertheless, in case of a reflective interferometer setup, standard silver mirrors cannot be used in every measurement, due to their chemical activity. In this work, we investigate the surface quality of a thin optical layer of silicon nitride (SiN) which can serve as an alternative material for silver mirrors. We present measurements carried out with a Fabry-Perot fiber optic interferometer working in a reflective mode. Measurement results allow us to determine the surface quality of the investigated layer. Full Text: PDF ReferencesK. Karpienko, M.S. Wróbel, M. Jedrzejewska-Szczerska, "Determination of refractive index dispersion using fiber-optic low-coherence Fabry-Perot interferometer: implementation and validation", Opt Express, 53, 077103 (2014). CrossRef Jedrzejewska-Szczerska M., Gnyba M., Kosmowski B. B. "Low-coherence fibre-optic interferometric sensors", Acta Phys. Pol. A 120, 621 (2011). CrossRef M. Jedrzejewska-Szczerska "Response of a new low-coherence Fabry-Perot sensor to hematocrit levels in human blood",Sensors 14(4), 6965 (2014). CrossRef M. Kosowska, D. Majchrowicz, K.J. Sankaran, M. Ficek, K. Haenen, M. Szczerska, "Doped Nanocrystalline Diamond Films as Reflective Layers for Fiber-Optic Sensors of Refractive Index of Liquids", Materials 12, 2124 (2019). CrossRef Shou-YiChang, Yi-Chung Huang, "Analyses of interface adhesion between porous SiO2 low-k film and SiC/SiN layers by nanoindentation and nanoscratch tests", Microelectron. Eng. 84(2), 319 (2007). CrossRef X. Wang, C. Wang, X. Shen, F. Sun, "Potential Material for Fabricating Optical Mirrors: Polished Diamond Coated Silicon Carbide". Appl. Opt. 56, 4113 (2017). CrossRef G. Coppola, P. Ferraro, M. Iodice, S. De Nicola, "Method for measuring the refractive index and the thickness of transparent plates with a lateral-shear, wavelength-scanning interferometer", Appl. Opt. 42, 3882 (2003). CrossRef H. Mäckel, R. Lüdemann, "Detailed study of the composition of hydrogenated SiNx layers for high-quality silicon surface passivation", J. Appl, Phys. 92, 2602 (2002). CrossRef N. Atman, M. Krzywinski, "Visualizing samples with box plots", Nat. Methods, 11(2), 119 (2014). CrossRef M. Vignesh, R. Balaji, "Data analysis using Box and Whisker Plot for Lung Cancer", International Conference on Innovations in Power and Advanced Computing Technologies,(2017). CrossRef

Comparison of prices and consumer price indices: traditional data collection and alternative data sources

One of the major challenges official statistics is faced with in the 21st century is the use of alternative sources of price data in order to modernise consumer price statistics and, as a result, to improve the accuracy and reliability of inflation data. Data collecting based on the traditional method encountered numerous difficulties caused by COVID-19 (distance-keeping restrictions limiting price collectors’ fieldwork, closures of points of sale). As a consequence, the work on alternative data sources intensified. The article presents the results of an experimental study involving the use of prices collected by means of the traditional method (by price collectors), and scanner and web scraped data from one of the retail chains operating in Poland. The aim of the study was to investigate the occurrence of differences in prices and price indices of selected food products and to estimate them, using the traditional method and alternative data sources, i.e. scanner and web scraped data. An additional goal was set to identify sourcebased reasons for these differences. The empirical study covered the period of February and March 2021. The results based on data from different sources were compared using both graphical methods (histograms, box plots) and the calculation of elementary price indices according to the Dutot, Carli and Jevons formulas. The findings revealed certain, sometimes serious discrepancies in the distributions of prices obtained from various data sources, which suggests that the application of scanner and web scraped data may lead to the over- and understating of price indices obtained via the traditional method. The article also discusses the main methodological aspects of obtaining and applying data from alternative sources, and indicates the probable causes of the differences observed both in distributions of product prices and in monthly price indices calculated using data from various sources.

Improving the visual communication of environmental model projections

Environmental and ecosystem models can help to guide management of changing natural systems by projecting alternative future states under a common set of scenarios. Combining contrasting models into multi-model ensembles (MMEs) can improve the skill and reliability of projections, but associated uncertainty complicates communication of outputs, affecting both the effectiveness of management decisions and, sometimes, public trust in scientific evidence itself. Effective data visualisation can play a key role in accurately communicating such complex outcomes, but we lack an evidence base to enable us to design them to be visually appealing whilst also effectively communicating accurate information. To address this, we conducted a survey to identify the most effective methods for visually communicating the outputs of an ensemble of global climate models. We measured the accuracy, confidence, and ease with which the survey participants were able to interpret 10 visualisations depicting the same set of model outputs in different ways, as well as their preferences. Dot and box plots outperformed all other visualisations, heat maps and radar plots were comparatively ineffective, while our infographic scored highly for visual appeal but lacked information necessary for accurate interpretation. We provide a set of guidelines for visually communicating the outputs of MMEs across a wide range of research areas, aimed at maximising the impact of the visualisations, whilst minimizing the potential for misinterpretations, increasing the societal impact of the models and ensuring they are well-placed to support management in the future.