Combating unemployment through skill development

In this paper, we propose and analyze a nonlinear mathematical model to study the effect of skill development on unemployment. We assume that government promulgates different levels of skill development programs for unemployed persons through which two different categories of skilled persons, namely, the low-skilled and the highly-skilled persons, are coming out and the highly-skilled persons are able to create vacancies. The model is studied using stability theory of nonlinear differential equations. We find analytically that there exists a unique positive equilibrium point of the proposed model system under some conditions. Also, the resulting equilibrium is locally as well as globally stable under certain conditions. The effective use of implemented policies to control unemployment by providing skills to unemployed persons and the new vacancies created by highly-skilled persons are identified by using optimal control analysis. Finally, numerical simulation is carried out to support analytical findings

Robust Lossless Semi Fragile Information Protection in Images

Internet security finds it difficult to keep the information secure and to maintain the integrity of the data. Sending messages over the internet secretly is one of the major tasks as it is widely used for passing the message. In order to achieve security there must be some mechanism to protect the data against unauthorized access. A lossless data hiding scheme is proposed in this paper which has a higher embedding capacity than other schemes. Unlike other schemes that are used for embedding fixed amount of data, the proposed data hiding method is block based approach and it uses a variable data embedding in different blocks which reduces the chances of distortion and increases the hiding capacity of the image. When the data is recovered the original image can be restored without any distortion. Our experimental results indicate that the proposed solution can significantly support the data hiding problem. We achieved good Peak signal-to-noise ratio (PSNR) while hiding large amount of data into smoother regions

Use of Piggybacking Strategy Successfully in a Randomized Controlled Trial on Food Safety Training of Street Food Vendors - An Example from School of Public Health, Post Graduate Institute of Medical Education & Research, Chandigarh, India

Introduction: Piggybacking approach has been extensively used in almost every known field from physical to virtual. In our day today life, we see it use in social networking sites such as Facebook, yahoo mail where multiple applications are carried over/piggybacked on the existing basic connecting platform. In India, this strategy is commonly used in Malaria control programme by distribution of Insecticide Treated Bed Nets (ITNs) through antenatal care or during immunization campaigns for measles and polio. The advantage of piggy backing approach is multi-faceted in terms of resources, time and effort.Materials and Methods: We utilised this opportunity, to piggyback anti-tobacco campaign using health education approaches on concurrent Randomized Controlled Trial (RCT) for assessing the effectiveness of food safety training interventions among street food vendors. Data entry and analysis was done using SPSS version 22.0 and descriptive statistics was used to define the numerical data.Results: So far data of 40 street food vendors (intervention arm=20 and control arm=20) has been analysed. In the intervention arm 11 (n=20) street food vendors were using tobacco in any form compared to 13 (n=20) in the control group at baseline. None of vendors in both the arm had any knowledge regarding FSSAI Act and COTPA at the baseline. 45% (n=9) in the intervention arm were washing hand after consuming any of the tobacco products at first follow up compared to 10% (n=2) at baseline.Conclusion: Piggybacking strategy can be used in public health programmes to augment one intervention over another to achieve favourable public health outcome

The impact of therapy on the quality of life in asymptomatic patients with freshly detected hypertension

Background: Hypertension is an commonly encountered disease which adversely affect  all aspects of quality of life (QoL). The existing studies are confounded by the presence of multiple comorbidities and inclusion of elderly, which by themselves impairs the QoL. There is thus a need to study the impact of hypertension on QoL, in isolation.Method: This is a single center, prospective, intention to treat, observation study. The aim of the study is to evaluate the change in the QoL over six months, in newly diagnosed asymptomatic patients of hypertension. The tools used to assess the QoL included World Health Organisation’s Quality of Life Questionnaire (WHOQOL- BREF) and Short Form-36 (SF-36).Result: A total of 232 patients (172 males and 60 females) were enrolled in the study. The mean age was 44.66 years. A total of 102 patients (43.97%) had stage-1 and 130 patients (56.03%) had stage-2 hypertension. The female gender is associated with a higher likelihood of presentation with stage-2 hypertension. The male cohort had a better baseline QoL. The desired blood pressures was achieved in 40.52%. With therapy, the QoL improved significantly; sub-hoc analysis showed, the improvement was higher in males and those with stage-1 hypertension. There is an inverse relationship between the QoL and requirement for higher number of antihypertensive mediations.Conclusions: In patients with asymptomatic primary hypertension, treatment improves all aspects of QoL. The factors adversely affecting the QoL include female gender, higher stage of hypertension, poor blood pressure control and requirement of higher numbers of antihypertensive medicine

Single molecule level plasmonic catalysis – a dilution study of p-nitrothiophenol on gold dimers

Surface plasmons on isolated gold dimers can initiate intermolecular reactions of adsorbed p-nitrothiophenol. At the single molecule level when dimerization is not possible an intramolecular reaction can be observed. Experimental evidence indicates that plasmon-induced hot electrons provide the required activation energy

Effect of Ceramic/Graphite Reinforcement on Dry Sliding Wear Behavior of Copper Metal Matrix Hybrid Composites

In the present investigation, effect of ceramic/graphite addition on the dry sliding wear behavior of copper-based hybrid composites have been assessed at three different normal loads of 9.81, 19.62 and 29.43 N. Wear test is performed by using pin-on-disc test rig at sliding speeds of 1.30 and 1.84 m/s under ambient conditions. The copper-based hybrid composites are successfully synthesized by using stir casting route. The samples are characterized by various techniques such as X-rays diffraction (XRD), high resolution-scanning electron microscopy (HR-SEM), scanning electron microscope (SEM) equipped with energy dispersive analysis of X-ray spectroscopy (EDAX). Microstructural investigations reveal the presence of the WC, TiC and graphite particles in the hybrid composites. It is observed that graphite reinforced hybrid composite shows better wear resistance than hybrid composite without graphite addition. In all the cases cast copper specimen shows highest wear rate. The observed friction and wear behavior have been explained on the basis of the presence tribofilm on the worn surface. Microstructural characterization of the worn surface and wear debris show that the mechanism of wear is primarily adhesive and oxidative in case of cast copper, where as it is a mix of adhesive and abrasive wear in case of hybrid composites. Wear debris analysis also helps to understand the wear mechanism involved during dry sliding

Spatially resolved spectroscopic differentiation of hydrophilic and hydrophobic domains on individual insulin amyloid fibrils

The formation of insoluble β-sheet-rich protein structures known as amyloid fibrils is associated with numerous neurodegenerative diseases, such as Alzheimer’s and Parkinson’s disease. A detailed understanding of the molecular structure of the fibril surface is of interest as the first contact with the physiological environment in vivo and plays a decisive role in biological activity and associated toxicity. Recent studies reveal that the inherent sensitivity and specificity of tip-enhanced Raman scattering (TERS) renders this technique a compelling method for fibril surface analysis at the single-particle level. Here, the reproducibility of TERS is demonstrated, indicating its relevance for detecting molecular variations. Consequently, individual fibrils are systematically investigated at nanometer spatial resolution. Spectral parameters were obtained by band-fitting, particularly focusing on the identification of the secondary structure via the amide III band and the differentiation of hydrophobic and hydrophilic domains on the surface. In addition multivariate data analysis, specifically the N-FINDR procedure, was employed to generate structure-specific maps. The ability of TERS to localize specific structural domains on fibril surfaces shows promise to the development of new fibril dissection strategies and can be generally applied to any (bio)chemical surface when structural variations at the nanometer level are of interest

Differences in single and aggregated nanoparticle plasmon spectroscopy

Vibrational spectroscopy usually provides structural information averaged over many molecules. We report a larger peak position variation and reproducibly smaller FWHM of TERS spectra compared to SERS spectra indicating that the number of molecules excited in a TERS experiment is extremely low. Thus, orientational averaging effects are suppressed and micro ensembles are investigated. This is shown for a thiophenol molecule adsorbed on Au nanoplates and nanoparticles

AMIDO NATIVO E MODIFICADO DE TARO (Colocasia esculenta L. Schott): CARACTERIZAÇÃO QUÍMICA, MORFOLÓGICA E PROPRIEDADES DE PASTA

O objetivo desta pesquisa foi comparar as propriedades do amido nativo de taro (Colocasia esculenta L. Schott), clone Macaquinho, com o seu amido modificado por oxidação para utilização pela indústria alimentícia. As amostras foram avaliadas com base nas alterações referentes à sua morfologia e propriedades funcionais. Os percentuais de grupos carboxila e carbonila obtidos após modificação classificou o tratamento empregado como brando, o qual é determinante para a caracterização funcional desse amido. A microscopia revelou grânulos com formatos circulares e poliédricos, aglomerados, tendo o amido oxidado apresentado grânulos um pouco mais volumosos. O amido oxidado mostrou maior poder de intumescimento e solubilidade na temperatura prevista para gelatinização (75ºC), embora tenha sido superado pelo homólogo nativo em temperatura próxima a 80ºC, com valores máximos para ambos os amidos a 95ºC. O amido oxidado também apresentou maior capacidade de absorção de água e óleo, transparência e propriedades de pasta em relação ao amido nativo. A modificação conduzida evidenciou excelentes vantagens para a indústria alimentícia que necessita de produtos com propriedades específicas em temperaturas mais baixas em virtude da rapidez desejada no preparo de sopas, molhos e sobremesas, entre outros alimentos instantâneos

Analysis of Gait Pattern to Recognize the Human Activities

Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the video