Construction and Validation of Emotional Intelligence Scale for Secondary School Teachers

In this study, we developed and validated a new instrument: an emotional intelligence scale for teachers. This paper focused on the psychometric properties of the emotional intelligence scale for school teachers dealing with adolescent students. The study also validated the tool over 608 secondary school teachers in India. This scale was evaluated using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Cronbach’s alpha, and item-total correlation. Results showed good fit (χ2/df =1085.66, CFI = 0.956, GFI = 0.876, TLI = 0.951, PCFI = 0.860, PNFI = 0.843, RMSEA = 0.06 and SRMR = 0.056) for the five components (Self-Perception, Self-Regulation, Self-Drive, Empathy, Social Motive) of the measurement model. However, 80.18% of the total variance was explained by the factors Reliability (Cronbach alpha = 0.95) and construct validity means convert and discriminant validity was established for a teacher’s innovative emotional intelligence scale. Finally, the robust findings indicated that the instrument could be used in further studies in different research areas

Estimating Properties of Social Networks via Random Walk considering Private Nodes

Accurately analyzing graph properties of social networks is a challenging task because of access limitations to the graph data. To address this challenge, several algorithms to obtain unbiased estimates of properties from few samples via a random walk have been studied. However, existing algorithms do not consider private nodes who hide their neighbors in real social networks, leading to some practical problems. Here we design random walk-based algorithms to accurately estimate properties without any problems caused by private nodes. First, we design a random walk-based sampling algorithm that comprises the neighbor selection to obtain samples having the Markov property and the calculation of weights for each sample to correct the sampling bias. Further, for two graph property estimators, we propose the weighting methods to reduce not only the sampling bias but also estimation errors due to private nodes. The proposed algorithms improve the estimation accuracy of the existing algorithms by up to 92.6% on real-world datasets.Comment: 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020

A Study of Emotional Intelligence of Teachers in Relation to Gender and Teaching Experience

The emotional intelligence of teachers has a very significant contribution to the educational field and helps to create a constructive teaching-learning ambiance. Emotionally intelligent persons are found successful in personal and professional life. Teachers’ high emotional intelligence directly or indirectly helps to all-around development and success of adolescent students. This article mainly attempted to explore the following objectives: to explore teachers' emotional intelligence concerning gender and to know teachers' emotional intelligence irrespective of different teaching experiences like less, medium, and highly experienced groups. Data were collected from 300 secondary school teachers of randomly selected 15 government-aided schools from five districts of West Bengal state in India. Data were collected using multistage sampling procedures. Data were analyzed using t-test and ANOVA. Major findings were female teachers were significantly more emotionally intelligent in relation to the male. Further, the medium-experienced teachers had more emotional intelligence than the low-experienced teachers. Finally, the robust findings indicated that emotional intelligence can be interrelated with other psychological variables and can be used in further studies in different research areas

Facebook users have become much more private: A large-scale study

Abstract—We investigate whether Facebook users have become more private in recent years. Specifically, we examine if there have been any important trends in the information Facebook users reveal about themselves on their public profile pages since early 2010. To this end, we have crawled the public profile pages of 1.4 million New York City (NYC) Facebook users in March 2010 and again in June 2011. We have found that NYC users in our sample have become dramatically more private during this period. For example, in March 2010 only 17.2 % of users in our sample hid their friend lists, whereas in June 2011, just 15 months later, 52.6 % of the users hid their friend lists. We explore privacy trends for several personal attributes including friend list, networks, relationship, high school name and graduation year, gender, and hometown. We find that privacy trends have become more pronounced for certain demographics. Finally, we attempt to determine the primary causes behind the dramatic decrease in the amount of information Facebook users reveal about themselves to the general public. I

A Closer Look at Third-Party OSN Applications: Are They Leaking Your Personal Information?

International audienceWe examine third-party Online Social Network (OSN) applications for two major OSNs: Facebook and RenRen. These third-party applications typically gather, from the OSN, user personal information. We develop a measurement platform to study the interaction between OSN applications and fourth parties. We use this platform to study the behavior of 997 Facebook applications and 377 RenRen applications. We find that the Facebook and RenRen applications interact with hundreds of different fourth-party tracking entities. More worrisome, 22\% of Facebook applications and 69\% of RenRen applications provide users' personal information to one or more fourth-party tracking entities

Comparison of hemodynamic alterations and post-operative profile of sevoflurane and propofol during laparoscopic cholecystectomies

Background: Modern laparoscopic surgeries with insufflation of gas into peritoneal cavity are gold standard treatment for cholelithiasis. Propofol, a GABA receptor positive allosteric modulator and Sevoflurane, an inhalational anesthetic are used for maintenance of general anesthesia. In laparoscopy, significant hemodynamic changes occur. Searching in field of anesthesia is going on for anesthetic agent for better recovery. Aims and Objectives: Objective of the study is to compare sevoflurane with propofol for intraoperative hemodynamic changes and post-operative recovery profile of patient’s undergone laparoscopic cholecystectomies under general anesthesia. Secondary objective is to compare post-operative complications. Materials and Methods: A prospective, randomized, single-blinded, and comparative study done after permission from the institutional ethical committee and informed consent from patients. Total 84 patients of 20–50 years age of either sex were scheduled for laparoscopic cholecystectomy, divided in two equal groups – Group P, induced with propofol and anesthesia was maintained with propofol (100–120 μg/kg/min), nitrous oxide and oxygen and Group S induced with propofol and anesthesia was maintained using sevoflurane (1–2%), nitrous oxide, and oxygen. Results: We found that time for eye opening was 9±1.21 min in Group P and 8±1.34 min in Group S. Time for following verbal command was 10±1.20 min in Group P and 9±1.32 min in Group S. Time for speaking name by patient was 11±1.20 min in Group P and 10±1.34 min in Group S. Difference between two groups regarding eye opening, following verbal command, and time to speak own name are highly significant with P8 was 14±1.30 min in Group P and 13±1.37 min in Group S. Difference between two groups is also highly significant with P8 were significantly shorter in sevoflurane group. Conclusion: From our study, maintenance of general anesthesia with sevoflurane is associated with faster recovery from anesthesia

A Study of Emotional Intelligence of Teachers in Relation to Gender and Teaching Experience

The emotional intelligence of teachers has a very significant contribution to the educational field and helps to create a constructive teaching-learning ambiance. Emotionally intelligent persons are found successful in personal and professional life. Teachers’ high emotional intelligence directly or indirectly helps to all-around development and success of adolescent students. This article mainly attempted to explore the following objectives: to explore teachers' emotional intelligence concerning gender and to know teachers' emotional intelligence irrespective of different teaching experiences like less, medium, and highly experienced groups. Data were collected from 300 secondary school teachers of randomly selected 15 government-aided schools from five districts of West Bengal state in India. Data were collected using multistage sampling procedures. Data were analyzed using t-test and ANOVA. Major findings were female teachers were significantly more emotionally intelligent in relation to the male. Further, the medium-experienced teachers had more emotional intelligence than the low-experienced teachers. Finally, the robust findings indicated that emotional intelligence can be interrelated with other psychological variables and can be used in further studies in different research areas

Assessment of aquatic ecological health: A comparative study between cistern-made and ‘Natural’ earthen-made waterbody

Ecological health of two waterbodies i.e., cistern-made and ‘natural’ earthen-made waterbody was compared in the present study based on temporal variations of physicochemical and biological parameters. Number of physicochemical parameters [transparency, temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), total suspended solids (TSS), dissolved oxygen (DO), total hardness (TH), total alkalinity (TA), biochemical oxygen demands (BOD), nitrate, phosphate and chlorophyll a (Chl a)], and biological parameters, e.g., zooplankton community and aquatic macrophytes were studied seasonally. Zooplankton communitiy comprised six arthropods and two rotifers. SIMPER analysis depicted that Moina sp., Daphnia sp., and Cyclops sp. were dominant species in cistern pond while Cyclops sp., Daphnia sp., Keratella sp. and Brachionus sp. were dominant in earthen natural pond. Abundance of species was highest in summer followed by post-rainy and winter in both the ponds while maximum abundance of zooplankton was recorded in summer. Species richness peaked in winter in natural pond, while in cistern pond species richness and diversity raised in summer. Multivariate analyses depicted significant temporal variation in zooplankton species in both the conditions. RELATE analysis revealed that temporal variation in species distribution and zooplankton community was significantly correlated with environmental parameters. Moreover, biological-environmental best matching (BIO-ENV) analyses indicated that water temperature, pH, TH and BOD (for cistern pond) and water temperature, EC and TSS (for earthen natural pond) were the main driving forces for temporal variations in species distribution and zooplankton community. Additionally, correlation analysis depicted that Moina sp., Daphnia sp., Diaptomus sp., Cyclops sp., Cypris sp., Bosmina sp., and species abundance was positively (significant) correlated with transparency, water temperature, and Chl a in natural pond. On the other hand, correlation analysis depicted that zooplankton species, species abundance, evenness and diversity were positively correlated with water temperature, DO, BOD and Chl a in cistern pond. Moreover, abundance of aquatic macrophytes were limited in three basic groups, namely free floating [(Lemna sp. (Major), Lemna sp. (Minor), Azolla sp., Pistia sp. and Eichhornia sp.], rooted submerged [Hydrilla sp., Ceratophyllum sp.] and rooted emerged [Nymphaes sp. and Ipomoea sp.]. Further, trophic state index (TSI) value revealed that both the ponds are hyper-eutrophic (‘natural’ waterbody > cistern waterbody) with a strong temporal variations. Therefore, these data could be used as water quality community-based bio-assessment tool as well as basis of water quality management plans to monitor the pollution level or conservation of aquatic ecology

X-ray diffraction study of the elastic properties of jagged spherical CdS nanocrystals

In this work, jagged spherical CdS nanocrystals have been synthesized by chemical method to study their elastic properties. The synthesized CdS nanocrystal has been characterized by transmission electron microscopy (TEM) and X-ray diffraction (XRD). The transmission electron microscope images show that the average size of the nanocrystal is 100 nm approximately. X-ray diffraction (XRD) study confirms that the CdS nanocrystals are in cubic zinc blende structure. The size calculated from the XRD is consistent with the average size obtained from the TEM analysis. The XRD data have been analyzed to study the elastic properties of the jagged spherical CdS nanocrystals, such as intrinsic strain, stress and energy density, using WilliamsonHall plot method. Williamson-Hall method and size-strain plot (SSP) have been used to study the individual effect of crystalline size and lattice strain on the peak broadening of the jagged spherical CdS nanocrystals. Size-strain plot (SSP) and root mean square (RMS) strain further confirm the results obtained from W-H plots