Neutrino oscillation probabilities: Sensitivity to parameters

We study in detail the sensitivity of neutrino oscillation probabilities to the fundamental neutrino parameters and their possible determination through experiments. The first part of the paper is devoted to the broad theme of isolating regions in the neutrino (and anti-neutrino) energy and propagation length that are sensitive to the oscillation parameters. Such a study is relevant to neutrinos both from the Earth's atmosphere or from a neutrino factory. For completeness we discuss the sensitivity, however small, to the parameters involved in a three-generation framework, and to the Earth matter density profile. We then study processes relevant to atmospheric neutrinos which are sensitive to and allow precision measurements of the mixing angle theta_23 and mass-squared difference delta_32 apart from the mixing angle theta_13. Crucial to this analysis is charge identification; detectors having this capability can isolate these matter effects. In particular, we address the issue of using matter effects to determine whether the mixing angle theta_23 is maximal, and, if not, to explore how well its octant can be determined. When realistic detector resolutions are included, we find that deviations of about 15% (20%) from a maximal value of sin^2 theta_23=1/2 can be measured at 95% (99%) CL provided theta_13 is non-zero, sin^2 theta_13 >= 0.015, and the neutrino mass ordering is normal, with fairly large exposures of 1000 kton-years.Comment: 37 pages Latex file, 30 eps figure files; minor typos fixe

From blood zone to school zone an analysis of educational industry restructuring requirement after war-ridden decades

Any attack to normal life is not good for individuals and for nations that derail the activities of development It is not only derailing the developments, it forced the decision makers to rearrange the activities and rectify the damages which need additional requirements such as time, skill and knowledge, capital, technology and materials. When a short time attack itself requires such a huge requirements, a war that too consumed more than two decades need huge requirements and some other aspects such as building confidence in domestic as well in international arena. Particularly in educational service, high dropout rate, few education providers, little options to choose in higher education, higher age groups back to education, motivational factors for bring them back to education are few issues that need to be addressed. As informed by UNESCO (United Nations Educational, Scientific and Cultural Organization) Education helps people to develop the attitudes, skills and knowledge to make informed decisions that will improve individuals and nations, now and in the future. For any post conflict development, education becomes higher priority than immediate material needs which has been considered as priority by affected communities, development authorities and Governments. Because Education can provide physical, cognitive and psychological supports and restore the routine and gives hope for the future. It can also serve as a channel for communicating vital messages for trust building, wound healing and base for sustainable development. After 25 years of conflict, Government of Sri Lanka and educational service providers both from domestic and foreign, consumers and other stakeholders can come closer to provide good education to improve economic situation and business environment for sustainable development in Sri Lanka. This study intends to analyze education system restructuring requirement after the war for sustainable development in Sri Lanka

Perceptual Chasm Between Industry and Academic Leaders on the Quality of Higher Education

In the context of the Information Technology Revolution, Communication Explosion, the Knowledge Economy and Globalization, India’s production of Professionals is phenomenal. With over 300 Universities and 15,600 Colleges spewing out 2.5 million graduates each year, in terms of the volume of production India trails behind only the US and recently China. Each year India produces 350,000 Engineers, twice the number produced by the US. A recent evaluation of Universities and Research Institutes all over the world, conducted by a Shanghai university, has not a single Indian University in the world’s top 300 – China has six

A descriptive study on ESL learners’ vocabulary knowledge through cognitive and metacognitive strategies

The present research was carried out to study the cognitive and metacognitive vocabulary learning strategies of 36 ESL learners’. Schmitt’s Vocabulary Learning Strategies questionnaire was used to conduct the study. The study revealed the subsequent array of cognitive and metacognitive strategies employed by ESL learners. Additionally, semi-structured interviews were also conducted with 10 ESL learners’ who completed the questionnaire to get more reliable information about learners’ strategies with vocabulary learning. The findings indicated that ‘Using English Language Media’, ‘Verbal repetition’, ‘Take notes in class’ were the most popular strategies, whereas ‘Skip or pass new word’ and ‘Put English labels on physical objects’ were least used. The results of this paper provide many implications for English language teaching. Detailed explanations of the participants’ cognitive and metacognitive strategies were given in the discussion

DIAGNOSING ESL LEARNERS’ VOCABULARY KNOWLEDGE THROUGH MEMORY STRATEGIES

Purpose of the study: The present study diagnoses the vocabulary knowledge employed by ESL learners’ through memory strategies. Schmiit’s (1990) Taxonomy of Vocabulary Learning Strategies (VLS) questionnaire was adopted and administered to 93 ESL learners. In order to get authenticities about the ESL learners’ memory strategies with vocabulary learning, semi-structured interviews were also conducted with 30 participants who completed the questionnaire. The result exposed the subsequent array of memory strategies used by ESL learners from the most frequent to the least frequent strategies, particularly findings revealed that ‘Use new word in sentences’, ‘Study word with a pictorial representation of its Meaning’, ‘Connect word to a personal experience’ are most popular whereas ‘Use scales for gradable adjectives’, ‘Relating word to unrelated items (Peg method)’ were least used memory strategies. Methodology: Schmitt’s Vocabulary Learning Strategies Questionnaire (VLSQ) (1997) was favored to diagnose the vocabulary knowledge through memory strategies of 93 ESL learners. Initially the responses were collected through Google Forms. Additionally, 30 ESL learners were randomly selected for interviews in accordance to reassure participants’ comprehension of the subject matters. Main Findings: The study finds effective result among 93 ESL learners in acquiring vocabulary knowledge while using memory strategies with the assistance of technological modalities. It also listed the most frequent and least frequent use of memory strategies in Schmitt’s Vocabulary Learning Strategies Questionnaire (VLSQ) (1997). Applications of this study: The present study is conducted in English Language Laboratory, where ESL learners’ can be benefitted and the learners can use these memory strategies while learning a new vocabulary when encountering a word. Novelty/Originality of this study: The existing technological modalities will assist the learners to correlate more effectively. Subject and language experts in the field can design the instructional materials and tools to assist ESL learners to improve vocabulary knowledge through memory strategies

Object Segmentation and Ground Truth in 3D Embryonic Imaging

Many questions in developmental biology depend on measuring the position and movement of individual cells within developing embryos. Yet, tools that provide this data are often challenged by high cell density and their accuracy is difficult to measure. Here, we present a three-step procedure to address this problem. Step one is a novel segmentation algorithm based on image derivatives that, in combination with selective post-processing, reliably and automatically segments cell nuclei from images of densely packed tissue. Step two is a quantitative validation using synthetic images to ascertain the efficiency of the algorithm with respect to signal-to-noise ratio and object density. Finally, we propose an original method to generate reliable and experimentally faithful ground truth datasets: Sparse-dense dual-labeled embryo chimeras are used to unambiguously measure segmentation errors within experimental data. Together, the three steps outlined here establish a robust, iterative procedure to fine-tune image analysis algorithms and microscopy settings associated with embryonic 3D image data sets

Novel frame model for mistuning analysis of bladed disc systems

The work investigates the application of a novel frame model to reduce the computational cost of the mistuning analysis of bladed disc systems. A full-scale finite element (FE) model of the bladed disc is considered as benchmark. The single blade frame configuration is identified via an optimization process. The individual blades are then assembled by 3D springs, whose parameters are determined via calibration process. The dynamics of the novel beam frame assembly is also compared to those obtained from three state-of-the-art FE-based reduced order models (ROMs): a lumped parameter approach; a Timoshenko beam assembly, and component mode synthesis (CMS) based techniques with free and fixed interfaces. The development of these classical ROMs to represent the bladed disc is also addressed in detail. A methodology to perform the mistuning analysis is then proposed and implemented. A comparison of the modal properties and forced response dynamics between the aforementioned ROMs and the full-scale FE model is presented. The case study demonstrates that the beam frame assembly can predict the variations of the blade amplitude factors with results being in agreement with the full-scale FE model. The CMS based ROMs underestimate the maximum amplitude factor, while the results obtained from beam frame assembly are generally conservative. The beam frame assembly is 4 times more computationally efficient than the CMS fixed-interface approach. This study proves that the beam frame assembly can efficiently predict the mistuning behavior of bladed discs when low order modes are of interest

Technological modality to influence persuasive and argumentative vocabulary for effective communication with reference to selected TED talk videos

English as the Second language learning recently gained attention in the field of research. The ESL (English as Second Language) learners need vocabulary enhancement and fluency for proficiency of the language which can be achieved through training. By learning and practicing a language with enhanced vocabulary will increase the vocabulary. TED (Technology, Entertainment, and Design) talks are a world’s biggest digital platform for public speaking. Vocabulary elements given in the TED talks can be defined as a lexicon of language which plays a significant role in communication. The aim of this research conveys the significant role of TED talk videos’ speaker and its influence towards its audiences. This can be achieved only by practical use of vocabulary by the ESL and EFL learners. In this research work, Persuasive and Argumentative vocabulary in the transcript of random 25 TED talk videos with time frame of 0-6mins, and sorted by ‘newest’ tab are analyzed. Also, in-depth analyses of both Persuasive and Augmentative keywords used and its frequencies are listed out from the 25 videos. This research significantly concludes that for effective communication, the learner has to be proficient in vocabulary acquisition

Geometric Simulation Approach for Grading and Assessing the Thermostability of CALBs

Candida antarctica lipase B (CALB) is a known stable and highly active enzyme used widely in biodiesel synthesis. In this work, the stability of native (4K6G) and mutant (4K5Q) CALB was studied through various structural parameters using conformational sampling approach. The contours of polar surface area and surface area of mutant CALB were 11357.67 Å2 and 30007.4 Å2, respectively, showing an enhanced stability compared to native CALB with a statistically significant P value of < 0.0001. Moreover, simulated thermal denaturation of CALB, a process involving dilution of hydrogen bond, significantly shielded against different intervals of energy application in mutant CALB revealing its augmentation of structural rigidity against native CALB. Finally, computational docking analysis showed an increase in the binding affinity of CALB and its substrate (triglyceride) in mutant CALB with Atomic Contact Energy (ACE) of −91.23 kcal/mol compared to native CALB (ACE of −70.3 kcal/mol). The computational observations proposed that the use of mutant CALB (4K5Q) could serve as a best template for production of biodiesel in the future. Additionally, it can also be used as a template to identify efficient thermostable lipases through further mutations