DETERMINANTS OF EMOTIONAL INTELLIGENCE – THEORETICAL PERSPECTIVE

Emotional intelligence is a talking point that is gaining a considerable amount of popular attention in all fields with abet of abundant international media attention. Emotional intelligence is the ability to sense, recognize, and efficiently apply the power and acumen of emotions as a source of human energy, information, association and influence. Exploration on Emotional Intelligence has initially appeared to be in scholarly articles in the beginning of 1980`s. The idea of emotional intelligence can be traced from the work of Darwin (1872) in his book entitled, on the origin of species by means of natural selection, discussed the importance of emotional expression for survival and adaptation. By the contribution of these dimensions one can easily find out the level of emotional intelligence that a particular individual posses

Optimized Deeplearning Algorithm for Software Defects Prediction

Accurate software defect prediction (SDP) helps to enhance the quality of the software by identifying potential flaws early in the development process. However, existing approaches face challenges in achieving reliable predictions. To address this, a novel approach is proposed that combines a two-tier-deep learning framework. The proposed work includes four major phases:(a) pre-processing, (b) Dimensionality reduction, (c) Feature Extraction and (d) Two-fold deep learning-based SDP. The collected raw data is initially pre-processed using a data cleaning approach (handling null values and missing data) and a Decimal scaling normalisation approach. The dimensions of the pre-processed data are reduced using the newly developed Incremental Covariance Principal Component Analysis (ICPCA), and this approach aids in solving the “curse of dimensionality” issue. Then, onto the dimensionally reduced data, the feature extraction is performed using statistical features (standard deviation, skewness, variance, and kurtosis), Mutual information (MI), and Conditional entropy (CE). From the extracted features, the relevant ones are selected using the new Euclidean Distance with Mean Absolute Deviation (ED-MAD). Finally, the SDP (decision making) is carried out using the optimized Two-Fold Deep Learning Framework (O-TFDLF), which encapsulates the RBFN and optimized MLP, respectively. The weight of MLP is fine-tuned using the new Levy Flight Cat Mouse Optimisation (LCMO) method to improve the model's prediction accuracy. The final detected outcome (forecasting the presence/ absence of defect) is acquired from optimized MLP. The implementation has been performed using the MATLAB software. By using certain performance metrics such as Sensitivity, Accuracy, Precision, Specificity and MSE the proposed model’s performance is compared to that of existing models. The accuracy achieved for the proposed model is 93.37%

BATSE spectroscopy analysis system

The Burst and Transient Source Experiment (BATSE) Spectroscopy Analysis System (BSAS) is the software system which is the primary tool for the analysis of spectral data from BATSE. As such, Guest Investigators and the community as a whole need to know its basic properties and characteristics. Described here are the characteristics of the BATSE spectroscopy detectors and the BSAS

Silencing Mist1 gene expression is essential for recovery from acute pancreatitis

Acinar cells of the exocrine pancreas are tasked with synthesizing, packaging and secreting vast quantities of pro-digestive enzymes to maintain proper metabolic homeostasis for the organism. Because the synthesis of high levels of hydrolases is potentially dangerous, the pancreas is prone to acute pancreatitis (AP), a disease that targets acinar cells, leading to acinar-ductal metaplasia (ADM), inflammation and fibrosis-events that can transition into the earliest stages of pancreatic ductal adenocarcinoma. Despite a wealth of information concerning the broad phenotype associated with pancreatitis, little is understood regarding specific transcriptional regulatory networks that are susceptible to AP and the role these networks play in acinar cell and exocrine pancreas responses. In this study, we examined the importance of the acinar-specific maturation transcription factor MIST1 to AP damage and organ recovery. Analysis of wild-type and Mist1 conditional null mice revealed that Mist1 gene transcription and protein accumulation were dramatically reduced as acinar cells underwent ADM alterations during AP episodes. To test if loss of MIST1 function was primarily responsible for the damaged status of the organ, mice harboring a Cre-inducible Mist1 transgene (iMist1) were utilized to determine if sustained MIST1 activity could alleviate AP damage responses. Unexpectedly, constitutive iMist1 expression during AP led to a dramatic increase in organ damage followed by acinar cell death. We conclude that the transient silencing of Mist1 expression is critical for acinar cells to survive an AP episode, providing cells an opportunity to suppress their secretory function and regenerate damaged cells. The importance of MIST1 to these events suggests that modulating key pancreas transcription networks could ease clinical symptoms in patients diagnosed with pancreatitis and pancreatic cancer. © 2015 Karki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Isoniazid concentrations in hair and plasma area-under-the-curve exposure among children with tuberculosis.

We measured hair and plasma concentrations of isoniazid among sixteen children with tuberculosis who underwent personal or video-assisted directly observed therapy and thus had 100% adherence. This study therefore defined typical isoniazid exposure parameters after two months of treatment among fully-adherent patients in both hair and plasma (plasma area under the concentration-time curve, AUC, estimated using pharmacokinetic data collected 0, 2, 4, and 6 hours after drug administration). We found that INH levels in hair among highly-adherent individuals did not correlate well with plasma AUC or trough concentrations, suggesting that each measure may provide incremental and complementary information regarding drug exposure in the context of TB treatment

Larvicidal activity of essential oil of Etlingera fenzlii (Kurz) Skronick. & M. Sabu (Zingiberaceae) - The honey bee repellent endemic plant species of the Andaman Nicobar Islands

Etlingera fenzlii (Kurz) Skronick. & M. Sabu (Zingiberaceae), is an endemic species of the Andaman Nicobar Islands which is exclusively used by the Shompens as a bee repellent for honey collection. The essential oil obtained by hydrodistillation of leaves of E. fenzlii and the volatile constituents of leaves have proved to be effective eco-friendly and possess varying degrees of insect/ pest controlling properties. The present study was focussed on the role of larvicidal activities of the essential oil of E. fenzlii against Aedes aegypti. Larvicidal study was carried out employing WHO standard method and the mortality was observed after 24 h exposure. Larvicidal tests were carried out with the essential oil concentration ranges from 5-50 ppm. Essential oil treatment had higher mortality as compared to control with LC50 value of 11.22 ppm. From the results, it is evident that E. fenzlii can be considered as effective larvicide, signifying an ecofriendly method for the control of mosquito vectors

Characterization Of Probiotic Lactic Acid Bacteria From Honey And Assessment Of Their Effects On Consumption By Type-2- Diabetes Using Wistar Rat

The relevance of probiotic, especially lactic acid bacteria cannot be over emphasized. In this present study three honey sources were serially diluted and cultured on De Man, Rogosa and Sharpe (MRS) agar among which only one of this sources grew on MRS agar. The pure Lactobacilli isolate were subjected to gram staining, biochemical tests, physiological test, molecular analysis using Polymerase Chain Reaction (PCR) techniques and Deoxyribonucleotide (DNA) sequencing. Only one isolate was obtained known as Enterococcus fecalis. The isolate was subjected to probiotic selection and was found fit for consumption, however their effect when consumed by type-2 diabetic are alarming and based on the outcome of this study, diabetic patient are advised not consume honey

Epigenetic regulator MLL2 shows altered expression in cancer cell lines and tumors from human breast and colon

<p>Abstract</p> <p>Background</p> <p>MLL2, an epigenetic regulator in mammalian cells, mediates histone 3 lysine 4 tri-methylation (H3K4me3) through the formation of a multiprotein complex. MLL2 shares a high degree of structural similarity with MLL, which is frequently disrupted in leukemias via chromosomal translocations. However, this structural similarity is not accompanied by functional equivalence. In light of this difference, and previous reports on involvement of epigenetic regulators in malignancies, we investigated MLL2 expression in established cell lines from breast and colon tissues. We then investigated MLL2 in solid tumors of breast and colon by immunohistochemistry, and evaluated potential associations with established clinicopathologic variables.</p> <p>Results</p> <p>We examined MLL2 at both transcript and protein levels in established cell lines from breast and colon cancers. Examination of these cell lines showed elevated levels of MLL2. Furthermore, we also identified incomplete proteolytic cleavage of MLL2 in the highly invasive tumor cell lines. To corroborate these results, we studied tumor tissues from patients by immunohistochemistry. Patient samples also revealed increased levels of MLL2 protein in invasive carcinomas of the breast and colon. In breast, cytoplasmic MLL2 was significantly increased in tumor tissues compared to adjacent benign epithelium (p < 0.05), and in colon, both nuclear and cytoplasmic immunostaining was significantly increased in tumor tissues compared to adjacent benign mucosa (p < 0.05).</p> <p>Conclusion</p> <p>Our study indicates that elevated levels of MLL2 in the breast and colon cells are associated with malignancy in these tissues, in contrast to MLL involvement in haematopoietic cancer. In addition, both abnormal cellular localization of MLL2 and incomplete proteolytic processing may be associated with tumor growth/progression in breast and colonic tissues. This involvement of MLL2 in malignancy may be another example of the role of epigenetic regulators in cancer.</p

Diagnostic accuracy of oral glucose tolerance tests, fasting plasma glucose and haemoglobin A1c for type 2 diabetes in women with polycystic ovary syndrome:A systematic review and meta-analysis

Aims: To inform international guidelines, a systematic review and meta-analysis was conducted to assess the performance of diagnostic methods for type 2 diabetes in women with polycystic ovary syndrome (PCOS). Methods: An updated systematic search was conducted on five databases from 2017 until October 2023 and combined with prior searches (from inception). Meta-analyses of diagnostic accuracy tests were conducted. Results: Nine studies comprising 2628 women with PCOS were included. Against the oral glucose tolerance test, a haemoglobin A1C (HbA1c) ≥ 6.5% had a pooled sensitivity of 50.00% (95% confidence interval (CI): 35.53–64.47), specificity of 99.86% (95%CI: 99.49–99.98), and positive and negative predictive values of 92.59% (95%CI: 75.27–98.09) and 98.27% (95%CI: 97.73–98.68), respectively, with an accuracy of 98.17% (95%CI: 97.34–98.79). Fasting plasma glucose values ≥ 7.0 mmol/L had a pooled sensitivity of 58.14% (95%CI: 42.13–72.99), specificity of 92.59% (95%CI: 75.35–98.08), positive and negative predictive values of 92.59% (95%CI: 75.35–98.08) and 99.09% (95%CI: 98.71–99.36), respectively, and an accuracy of 99.00% (95%CI: 98.46–99.39) against the oral glucose tolerance test. Conclusions: To our knowledge, this is the first systematic review assessing the performance of diagnostic methods for type 2 diabetes in women with PCOS. We demonstrate that using a cut-off for HbA1c of ≥6.5% in this population may result in misdiagnosis of half of the women with type 2 diabetes. Our results directly informed the recommendations of the 2023 International PCOS Guideline, suggesting that the oral glucose tolerance test is the optimal method for screening and diagnosing type 2 diabetes in women with PCOS and is superior to fasting plasma glucose and HbA1c.</p

Diagnostic accuracy of oral glucose tolerance tests, fasting plasma glucose and haemoglobin A1c for type 2 diabetes in women with polycystic ovary syndrome:A systematic review and meta-analysis

Aims: To inform international guidelines, a systematic review and meta-analysis was conducted to assess the performance of diagnostic methods for type 2 diabetes in women with polycystic ovary syndrome (PCOS). Methods: An updated systematic search was conducted on five databases from 2017 until October 2023 and combined with prior searches (from inception). Meta-analyses of diagnostic accuracy tests were conducted. Results: Nine studies comprising 2628 women with PCOS were included. Against the oral glucose tolerance test, a haemoglobin A1C (HbA1c) ≥ 6.5% had a pooled sensitivity of 50.00% (95% confidence interval (CI): 35.53–64.47), specificity of 99.86% (95%CI: 99.49–99.98), and positive and negative predictive values of 92.59% (95%CI: 75.27–98.09) and 98.27% (95%CI: 97.73–98.68), respectively, with an accuracy of 98.17% (95%CI: 97.34–98.79). Fasting plasma glucose values ≥ 7.0 mmol/L had a pooled sensitivity of 58.14% (95%CI: 42.13–72.99), specificity of 92.59% (95%CI: 75.35–98.08), positive and negative predictive values of 92.59% (95%CI: 75.35–98.08) and 99.09% (95%CI: 98.71–99.36), respectively, and an accuracy of 99.00% (95%CI: 98.46–99.39) against the oral glucose tolerance test. Conclusions: To our knowledge, this is the first systematic review assessing the performance of diagnostic methods for type 2 diabetes in women with PCOS. We demonstrate that using a cut-off for HbA1c of ≥6.5% in this population may result in misdiagnosis of half of the women with type 2 diabetes. Our results directly informed the recommendations of the 2023 International PCOS Guideline, suggesting that the oral glucose tolerance test is the optimal method for screening and diagnosing type 2 diabetes in women with PCOS and is superior to fasting plasma glucose and HbA1c.</p