Effect of Mnemonic Techniques on Learning Acquisition in Relation to Cognitive Styles and Self Concept

The study was conducted on the sample of 500 students of Secondary School Students, as per the requirements of 3 * 2 * 2 factorial design in which the independent variables of Mnemonic Techniques (M), Cognitive Styles (C) and Self Concept (S) were studied. Learning Acquisition on some concepts of Social Studies was taken as dependent variable. There were three levels of Mnemonic Techniques and two levels each of the variables of Cognitive Styles and Self Concept. The study was experimental in nature in which Mnemonic Techniques were studied with Illustrations (M1), without Illustrations (M2) and the third group consisted of the control group (Mo). The results showed that F ratios were significant for the main effects of Mnemonic Techniques, Cognitive Styles and Self Concept as also for the double interaction effects of M*C, C*S and M*S. However, the triple interaction effect of M * C * S was not significant even at .05 level of confidence

Production of Butanol (C4H9OH) from Barley Straw

The energy requirements of the world has accelerated search for new fuels or new sources of fuel. Ethanol or butanol production from lignocellulosic biomass is one example of this. As lignin constrains the access of cellulose or hemicellulose to enzymes for their hydrolysis, it is necessary to remove the lignin. Various pretreatment methods are used before going for the hydrolysis of cellulose present in biomass followed by hydrolysis. In this work, barley straw is chosen as the lignocellulosic biomass and production of butanol has been carried out using steam explosion and acid hydrolysis followed by fermentation. The maximum amount of sugar (37.51 mg/ml of hydrozylate solution) was produced after the hydrolysis by HNO3 with 0.5 mol/ltr concentration. The maximum amount of butanol (3.046mg/ml) was also found by hydrolyzing with 0.5 mol/ltr of HNO3 after the fermentation of hydrozylat

IZLJEV NAFTE U MORSKOME OKOLIŠU: ZAHTJEVI NAKON ODOBALNOGA IZLJEVA NAFTE

The global lifestyle of this modern world has become more dependent on petroleum-based products, whose applications are involved almost everywhere. Since a large quantity of oil is being used on a daily basis, the spilling of oil by various means during its storage and transportation has become inevitable. This work focuses on the spilling of oil in a marine environment, generally referred to as an offshore oil spill, in contrast to an onshore oil spill associated with a terrestrial environment. These oil spills not only devastate the natural resources and unsettle the economy, they also jeopardize marine life, as well as human health. The remediation of an oil spill remains very challenging, when the disaster is associated with a large aerial extent. In this context, a sound understanding is required on the origin, seeping, composition and properties of the spilled oil in order to better monitor the spreading of the oil spill. In this manuscript, a detailed list of fundamental queries, which will be required to be addressed at the instance of an oil spill has been deduced, which will be extremely useful for the oil spill respondents as there are no previous studies that exclusively provide the type and nature of data required to be collected, immediately following an oil spill. Furthermore, this manuscript has deduced a list of sensitive and essential plots that will be required in order to analyse and forecast the spreading of an oil spill. An essence of weathering and its associated movement of oil spill has been included.Globalni stil života modernoga svijeta postao je sve ovisniji o proizvodima na osnovi nafte, koji se gotovo svugdje primjenjuju. Budući da je u svakodnevnoj upotrebi velika količina nafte, izljevi nafte u okoliš tijekom njezina transporta i skladištenja neizbježni su. Ovaj rad usmjeren je na izljeve nafte u morski okoliš, koji se razlikuju od izljeva nafte u terestrički okoliš. Izljevi nafte u morski okoliš devastiraju prirodne resurse i utječu na gospodarstvo, ali i ugrožavaju morske ekosustave, kao i zdravlje ljudi. Kod velikih onečišćenih područja sanacija izljeva nafte dodatan je izazov. U tome kontekstu, a kako bi se bolje pratilo širenje nafte u okolišu, potrebno je dobro razumijevanje izljeva nafte, njegova izvora te sastava i svojstava izlivene nafte. S obzirom na nedostatak sustavno prikazanih podataka u literaturi, u ovome je radu izrađen detaljan popis temeljnih pitanja na koja je potrebno odgovoriti u slučaju izljeva nafte, kao pomoć odgovornim osobama u definiranju tipa i prirode podataka koje moraju prikupiti odmah nakon što se izljev nafte dogodi. Nadalje, izveden je popis temeljnih grafičkih dijagrama koji su nužni za analizu i predviđanje širenja izlivene nafte. Uzeto je u obzir i djelovanje vremenskih prilika i s njima povezano kretanje izlivene nafte

Prospects of Emerging Engineered oxide nanomaterials and their Applications

This review article mainly focused on the recent progress on the synthesis and characterization of emerging artificially engineered nanostructures of oxide materials as well as their potential applications. A fundamental understanding about the state-of-the-art of the synthesis for different size, shape and morphology, which can be tuned to the desired properties of oxide nanomaterials have discussed in details in this review. The present review covers the a wide range of artificially engineered oxide nanomaterials such as cadmium-, cupric-, nickel-, magnesium-, zinc-, titanium-, tin-, aluminium-, and vanadium-oxides and their useful applications in sensors, optical displays, nanofluids and defence

Disorder Induced Nonlinear Mode Coupling and Symmetry Breaking in Amorphous Solids

Applying very small purely radial strains on amorphous solids in radial geometry one observes elastic responses that break the radial symmetry. Without any plasticity involved, the responses indicate nonlinear mode coupling contributions even for minute strains. We show that these symmetry-breaking responses are due to disorder, typical to amorphous configurations. The symmetry breaking responses are quantitatively explained using the classical Michell solutions which are excited by mode coupling

Numerical Study of Temperature and Stress Fields in Laser Cutting of Aluminium Alloy Sheet

AbstractDue to thermal nature of laser cutting, high temperature and thermal stresses are developed at the cut edge that affects finally the cut edge quality. This paper aims for developing a numerical simulation model to predict the temperature and residual stresses in the laser cutting of Aluminium alloy (Al-2024).The temperature and stress fields developed in cut section are predicted numerically using ANSYS finite element code. For the analysis, Fourier law of heat conduction and Gaussian distribution of a laser beam are considered. Temperature dependent thermo-physical properties of the material are used in numerical simulation. It is found that high temperature gradient exists at laser irradiated spot which results in high thermal stresses across the cut section. Also it has been found that the maximum temperature obtained during laser cutting is reduced with increasing laser scanning velocity. Stress distribution results shows that stresses attains low values at laser irradiated spot because of the reduction of thermal expansion coefficient with increasing temperature. The comparison of results based on numerical simulation with the mathematical model shows good agreements

ECHO-CARDIOGRAPHIC STUDY OF VENTRICULAR SEPTAL DEFECT IN 1-12 YEARS OF CHILDREN VISITING TERTIARY CARE CENTER.

Introduction: Congenital heart defects in neonates can cause serious growth problems, and they can increase the rates of morbidity and mortality. Objectives: This study is conducted to understand the morphology of the prominent congenital heart defect that is ventricular septal defect in the pediatric population of one to twelve years by performing the eco-cardio graphic study. Also, to derive an understanding of functional defects due to defective morphology. Methods: A survey was carried out amongst the 100 children who visited the IGIMS hospital and either presented the symptoms of cardiac defects or were previously diagnosed with ventricular septal defects. In the survey, basic information about the children was recorded, and then an eco-cardiograph was taken using 2D Doppler technology. The data obtained was subjected to statistical analysis, and the statistical significance of the data was determined. Results: Based on the location of the septal defect in the ventricle, they were classified into three categories, near the aortic valve is the peri membranous type, near the muscle of the ventricle, which is the muscular type, and at multiple locations multiple type. The first category defect was among 82%, the second category defect was about 15.5% and the last category defect was about 1.5%. The complexity of the defects increased in certain due to the presence of other cardiac problems. However, the majority of patients had defects of less than 5mm which caused leakage of the blood from systemic to pulmonary circulation. Conclusion: The majority of the defects that were observed could be managed or treated with proper intervention if they were detected earlier. This could prevent the defect from progressing to more severe cases. Recommendations: When conventional TTE is equivocal, a trans-esophageal echocardiogram (TEE) is recommended

DYNAMIC PRIORITIZATION FOR FULL STACK OBSERVABILITY

Alert fatigue is a well-known issue that impacts many enterprise information technology (IT) teams. Those teams are constantly looking for ways to reduce the mean time to identify (MTTI) and the mean time to resolve (MTTR) issues to minimize the impact to a business. When such a team is inundated with a very large number of alerts, they become desensitized to those alerts and metrics such as MTTI and MTTR increase. Such a desensitization has other negative repercussions that, together, impact a business and affect the adoption of a full-stack observability (FSO) approach. Techniques are presented herein that address these problems through a dynamic prioritization solution that allows for user inputs and past interactions, and which leverages large language models (LLMs)