A Study on Influence of Personal Profile Variables on Emotional Intelligence Ofarts and Science College Students

Purpose: To assess the level of emotional intelligence among Arts and Science College students as well as the influence of personal profile traits on emotional intelligence in those students.   Theoretical framework:  Variables like Education, Area of residence, Gender, Age, Family monthly income, Father Educational Qualification influence the Emotional Intelligence of the Students   Design/methodology/Approach:   Purposive sampling, T- test, F- Test   Findings: This research has added to the body of knowledge about emotion-related personality differences among arts and science college students studying in various streams, and how they differ in various ways   Research, Practical  &  Social  Implications: Emotional intelligence should be taught through various workshops, Community-wide awareness programmes should be organized   Originality/Value: Establishing Emotional Intelligence-based results across several streams can aid in achieving a better balance between a student's personality and their academic stream of choice. Academic success and professional advancement are made easier with this balance. Emotional intelligence testing may also aid in the development of self-reflection and increased understanding of one's own personality

Evaluating Sentiment Classification to Specify Polarity by Lexicon-Based and Machine Learning Approaches for COVID-19 Twitter Data Sets

As part of data science, sentiment analysis (SA) applied to social media data is a trending research topic. Identifying positive, negative, or neutral opinions or feelings in the text is the attention of sentiment analysis. In the past few years, Social media platforms have become increasingly popular. In this research, natural language processing (NLP) will be employed to extract useful data and information from unstructured text. .The two methods for sentiment analysis covered in this research are the machine-learning method and the lexicon-based method. The paper examines several lexicon approaches to demonstrate the sentiments from Twitter. To increase classification accuracy, it is necessary to use a reliable method with the highest performance. In this study, classifiers such as Support Vector Machine (SVM) and Naive Bayes (NB) were used together with techniques such as TF-IDF (Term Frequency-Inverse Document Frequency) and BOW (Bag of Words). Each algorithm produces a unique outcome. In order to measure the accuracy of classification, metrics such as Precision, Recall, and F-score are considered. This research shows Support Vector Machine (SVM) with TF-IDF is better than other classifiers with an accuracy of 88%

Performance Comparison of Various STM Concurrency Control Protocols Using Synchrobench

Writing concurrent programs for shared memory multiprocessor systems is a nightmare. This hinders users to exploit the full potential of multiprocessors. STM (Software Transactional Memory) is a promising concurrent programming paradigm which addresses woes of programming for multiprocessor systems. In this paper, we implement BTO (Basic Timestamp Ordering), SGT (Serialization Graph Testing) and MVTO(Multi-Version Time-Stamp Ordering) concurrency control protocols and build an STM(Software Transactional Memory) library to evaluate the performance of these protocols. The deferred write approach is followed to implement the STM. A SET data structure is implemented using the transactions of our STM library. And this transactional SET is used as a test application to evaluate the STM. The performance of the protocols is rigorously compared against the linked-list module of the Synchrobench benchmark. Linked list module implements SET data structure using lazy-list, lock-free list, lock-coupling list and ESTM (Elastic Software Transactional Memory). Our analysis shows that for a number of threads greater than 60 and update rate 70%, BTO takes (17% to 29%) and (6% to 24%) less CPU time per thread when compared against lazy-list and lock-coupling list respectively. MVTO takes (13% to 24%) and (3% to 24%) less CPU time per thread when compared against lazy-list and lock-coupling list respectively. BTO and MVTO have similar per thread CPU time. BTO and MVTO outperform SGT by 9% to 36%

Multi-Objective Optimization of Construction Project Time-Cost-Quality Trade - off Using Differential Evolution Algorithm

Time and cost are among the important aspects considered for every construction project. Many research approaches have been followed to model time-cost relationship. There is a constant rise in the use of innovative contract methods which provide incentives for maximizing quality. There is an increasing pressure to improve the project performance due to the innovative contracting methods which necessitate developing models incorporating quality along with time and cost. A main contractor normally subcontracts most of the tasks of a project for improving project performance. It is always a complex and challenging task for a main contractor, to choose a correct bid which satisfies the time, cost and quality requirements of a project. In the present study, a differential evolution algorithm is used to solve this multi-objective time-cost-quality optimization problem. Two case studies are analyzed and the results obtained compared with the existing approaches to test the applicability and efficiency of the algorithm. It is evident from the results that the differential evolution algorithm performs efficiently in locating the optimal solution with minimum function evaluation

Tuning and Locking the Localized Surface Plasmon Resonances of CuS (Covellite) Nanocrystals by an Amorphous CuPdxS Shell

[Image: see text] We demonstrate the stabilization of the localized surface plasmon resonance (LSPR) in a semiconductor-based core–shell heterostructure made of a plasmonic CuS core embedded in an amorphous-like alloyed CuPd(x)S shell. This heterostructure is prepared by reacting the as-synthesized CuS nanocrystals (NCs) with Pd(2+) cations at room temperature in the presence of an electron donor (ascorbic acid). The reaction starts from the surface of the CuS NCs and proceeds toward the center, causing reorganization of the initial lattice and amorphization of the covellite structure. According to density functional calculations, Pd atoms are preferentially accommodated between the bilayer formed by the S–S covalent bonds, which are therefore broken, and this can be understood as the first step leading to amorphization of the particles upon insertion of the Pd(2+) ions. The position and intensity in near-infrared LSPRs can be tuned by altering the thickness of the shell and are in agreement with the theoretical optical simulation based on the Mie–Gans theory and Drude model. Compared to the starting CuS NCs, the amorphous CuPd(x)S shell in the core–shell nanoparticles makes their plasmonic response less sensitive to a harsh oxidation environment (generated, for example, by the presence of I(2))

Evaluation of Antidepressant Activity of Amlodipine in Mice

Previous research reports revealed that treatment of amlodipine influences the central nervous system physiology and it has shown to potentiate antiepileptic activity of antiepileptic drugs. L-type calcium channels have been implicated in the pathology of behavioral depression and some L- type calcium channel blockers have been shown to produce anti-depressant activity. Hence,the present study was aimed to evaluate the probable anti depressant activity of amlodipine in valid animal models. The results obtained in this study revealed the antidepressant activity of amlodipine. However, further chronic studies are required as clinical management of anti depressant requires chronic treatment. In conclusion, amlodipine produces the anti depressant activity in valid animal models similar to that of other L-type calcium channel blockers. Chapter 8 Reference

A novel scheduling algorithm to maximize the D2D spatial reuse in LTE networks

In order to offload base station (BS) traffic and to enhance efficiency of spectrum, operators can activate many Device-to-Device (D2D) pairs or links in LTE networks. This increases the overall spectral efficiency because the same Resource Blocks (RBs) are used across cellular UEs (CUEs) (i.e., all UEs connected to BS for both C-Plane and D-plane communication) and D2D links (i.e., where the UEs are connected to BS only for C-plane communication). However, significant interference problems can be caused by D2D communications as the same RBs are being shared. In our work, we address this problem by proposing a novel scheduling algorithm, Efficient Scheduling and Power control Algorithm for D2Ds (ESPAD), which reuses the same RBs and tries to maximize the overall network throughput without affecting the CUEs throughput. ESPAD algorithm also ensures that Signal to Noise plus Interference Ratio (SINR) for each of the D2D links is maintained above a certain predefined threshold. The aforementioned properties of ESPAD algorithm makes sure that the CUEs do not experience very high interference from the D2Ds. It is observed that even when the SINRdrop (i.e., maximum permissible drop in SINR of CUEs) is as high as 10 dB, there is no drastic decrease in CUEs throughput (only 3.78%). We also compare our algorithm against other algorithms and show that D2D throughput improves drastically without undermining CUEs throughput

Self-Initiative and Michigan Poverty

Labor and Human Capital,

A Clinical Profile of Coma

INTRODUCTION: Impaired consciousness is among the most difficult and dramatic of clinical problems. The brain tolerates only limited physical or metabolic injury, so that impaired consciousness is often a sign of impending irreparable damage to the brain. Stupor and coma imply advanced brain failure, just as, for example, uremia means renal failure, and the longer such brain failure lasts the narrower the margin between recovery and the development of permanent neurologic injury. The limited time for action and the multiplicity of potential causes of brain failure challenge the physician. The physician must organize available information to anticipate as accurately as possible the likelihood that the patient will either recover or remain permanently disabled. Prospective studies of prognosis in adults and children indicate that within a few hours or days after the onset of coma, neurologic signs and electrophysiologic markers in many patients differentiate, with a high degree of probability, the extremes of no improvement or good recovery. Unfortunately, radiologic and biochemical indicators have generally provided less accurate predictions of outcome, with some exceptions. AIM OF THE STUDY: To determine the incidence, etiology, and outcome of coma, to determine the commonest causes of coma, to recognize unusual presentations and to assess the prognosis in these patients. MATERIALS AND METHODS: A total of 100 consecutive patients admitted in a comatose state to the IMCU/medical ward in Government Stanley Medical College, were enrolled in this study after prior written and informed consent. Period of the Study: February 2010 To April 2010. METHODOLOGY: A detailed case history was taken.Depression of consciousness was assessed by the GCS. A detailed clinical examination was done.Investigations were guided by the clinical presentation. Neurological outcomes were determined as intact(normal or no change from pre-morbid condition), impaired (alteration of tone,power or reflexes,cranial nerve dysfunction, ataxia, seizures, persistent vegetative state) or death. Inclusion Criteria: • Cases with coma &focal signs, • Those without focal signs, • Cases with coma & fever. Exclusion Criteria: • Head injury. • Toxin ingestion. CONCLUSION: The GCS is a valuable tool but it may not account for the localized motor, speech and language deficits associated with a focal lesion and hence its accuracy may be affected which has an impact on its prognostic value. The presence of pupillary /eye signs may not portend a poor prognosis in all cases especially in hypoxic injury. The initial GCS may be deceptively low in alcoholics. Caution is required while interpreting the clinical findings in alcoholics. There may be difficulties in differentiating the more serious injuries from reversible signs. The presence of seizures in a comatose patient may not always signify a poor prognosis in all cases. The limitations of our study are that it is an observational study and the number of patients analyzed may not be significant to apply the results to a larger population. The observed proportion might represent the lower limit of a confidence interval rather than the mean. Also, actual outcome from the illness in many instances could be worse than the best neurologic state because some patients who recovered temporarily (48 hrs) died of complications later. A multimodal work up including brain CT, MRI, EEG, somatosensory evoked potentials and clinical examination might be useful in predicting accurate prognosis than any of them alone