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21.
The tribal people of Rajasthan are severely malnourished along with multiple nutrient-deficiency disorders due to ignorance about importance of fruits and vegetables in their diets. The tribal areas are full of biodiversity having natural vegetation which is not harnessed fully. Due to which a wide gap is formed between health and optimal use of natural sources of nutrients, i.e., underutilized crops. The crops, which are neither grown commercially on large scale nor traded widely, may be termed as underutilized horticultural crops. These crops are cultivated, traded, and consumed locally. These crops have many advantages like easier to grow and hardy in nature, producing a crop even under adverse soil and climatic conditions. So, exploitation of underutilized horticultural crops can become a solution to the social problem of health and nutrition insecurity, poverty, and unemployment. The consumption of underutilized fruit crops can provide nutrition to the poor and needy tribals by meeting the nutrient requirements of vulnerable groups. As underutilized fruits, nuts, and vegetables are a rich of source of carbohydrates, fats, proteins, energy, vitamins—A, B1, B2, B3, B6, B9, B12, C, folic acid, and minerals—Ca, P, Fe, and dietary fiber. Thus, they have the nutritional capacity to prevent and cure various diseases like kwashiorkor, marasmus, night blindness, anemia, diabetes, cancer, hypertension, and hidden hunger. It is also established fact that seasonal, locally available, and cheap fruits and vegetables can also keep the population healthy and nutritionally secure rather than costly off-season ones. Also, the underutilized crops have the potential to give economic security to tribals by giving employment and by fetching good returns from their sale in raw form as well as value-added products. 相似文献
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Preeti Singh Maneesha Gupta Urvashi Bansal 《Analog Integrated Circuits and Signal Processing》2018,96(2):269-282
This paper presents a microwave system for heartbeat rate measurement. This system is based on using a vector network analyzer and horn antennas. The system generates a continuous wave signal toward a person’s chest then the reflected signal is analyzed. The phase difference between the emitted and the reflected signals contains information about the chest movement; hence, the heartbeat rate can be extracted. In this work, several scenarios for detecting the heart activity are considered. The first scenario aims to provide a comparative study for using single-antenna and two-antennas microwave systems. Several radiated powers are considered in this scenario. Simultaneously with the microwave system, a wireless electrocardiograph is used as reference in order to determine the accuracy of the system. Measurements are performed in both cases when breathing normally and when holding the breath. The second scenario aims to test the ability of detecting the heartbeat activity of a person while moving. Measurements are performed while the subject walks towards the radar. Modeling is used for this purpose. The operating frequency used is 20 GHz in both scenarios. Signals are processed using wavelet transform and results show the ability to extract the heartbeat rate even with the presence of body movement. 相似文献
23.
Effect of Hall currents is considered on Walters' (Model B′) elastico-viscous fluid heated and soluted from below in the presence of a vertical magnetic field. A dispersion relation governing the effects of viscoelasticity, salinity gradient, rotation, magnetic field, and Hall current is derived. For the case of stationary convection, the Walters' (Model B′) fluid behaves like an ordinary Newtonian fluid. The compressibility, stable solute gradient, rotation, and magnetic field postpone the onset of thermosolutal instability, whereas Hall currents are found to hasten the onset of thermosolutal instability in the absence of rotation. In the presence of rotation, Hall currents postpone/hasten the onset of instability depending upon the value of wave numbers as small/large. Again, the dispersion relation is analyzed numerically and the results depicted graphically. The viscoelasticity, solute gradient, and magnetic field (and corresponding Hall currents) introduce oscillatory modes in the system that were nonexistent in their absence. The case of over-stability is discussed and sufficient conditions for nonexistence of over-stability are derived. 相似文献
24.
Results of etching (0 0 0 1) planes of flux grown strontium hexaferrite crystals in 85% H3P04 at 120 °C and 37% HCl at 100 °C are presented. Fractography reveals one-to-one correspondence of cleavage patterns on the two matched (0 0 0 1) cleaved planes. Etch patterns including hexagonal, point-bottomed pits with smooth sloping planes, hexagonal but flat-bottomed pits, geometrically centred hexagonal pits with regularly spaced terracing, eccentric hexagonal pits with irregularly spaced terracing, a large flat-bottomed hexagonal pit with a smaller point-bottomed hexagonal pit within it but having different geometrical centres and flat-bottomed pits with a beak at their centres are illustrated. It is explained that they are indicative of normal, inclined, stepped and bending dislocations in strontium hexaferrite crystals. Pits due to impurity inclusions are also explained. The explanations are supported by the results of mismatchings of etch patterns on matched cleavages. 相似文献
25.
Veena Paul;Saloni Rai;Urvashi Vikranta;Alisha Nandan;Aparna Agarwal;Abhishek Dutt Tripathi; 《Polymer Composites》2024,76(11-12):2300131
The growing population and societal consumption patterns associated with unsustainable production routes have increased pollution levels. Because of the environmental pollution caused by petroleum-derived plastics, it has become critical to develop an alternative biopolymer-based biodegradable plastic for long-term sustainability. Biopolymers are eco-friendly due to their nontoxicity, biodegradability, stability, biocompatibility, rheological, and thermal properties. However, these polymers' production methods have hindered their progress toward a bright future of sustainable production and growth. Therefore, improved formulations and tactics are needed to develop new approaches. A range of methods for application in industry can transform Polyhydroxyalkanoates (PHAs). Due to its affordability and simplicity of use, blending is regarded as one of the most successful methods. It has various uses, from absorbable sutures to biomedical implants and ecologically friendly resins, and useful applications in food packaging. Starch is a highly economical raw material and can be processed as an affordable substrate for innovative biodegradable polymers. In contrast to lowering water vapor and oxygen permeability, the addition of cross-linking agents to starch/PHA blends increases thermal stability, elasticity, and compatibility between the starch and PHA molecules in the films. This review focuses on the synthesis, physicochemical properties, and application of PHA-starch blends in the food industry. 相似文献
26.
Pooran Koli Urvashi Sharma Yashodhara Dayma Ramesh Kumar Pareek 《Energy Sources, Part A: Recovery, Utilization, and Environmental Effects》2018,40(18):2163-2175
The photogalvanic effect of Brilliant Cresyl Blue–Fructose system is reported in the presence of efficiency enhancer chemical such as surfactant (Sodium Lauryl Sulfate) and small Pt electrode for solar energy conversion and storage in artificial light. The study has shown enhanced performance in terms of electrical parameters such as maximum power (291.2 μW), short-circuit current (1,120 μA), open-circuit potential (1,045 mV), efficiency (8.4%), and storage capacity as half change time (140 min). 相似文献
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Urvashi Bothra;Hariprasad Venugopal;Dinesh Kabra;Christopher R. McNeill;Amelia C. Y. Liu; 《Small Methods》2024,8(8):2301352
The efficiency of an organic solar cell is highly dependent on the complex, interpenetrating morphology, and molecular order within the composite phases of the bulk heterojunction (BHJ) blend. Both these microstructural aspects are strongly influenced by the processing conditions and chemical design of donor/acceptor materials. To establish improved structure-function relationships, it is vital to visualize the local microstructural order to provide specific local information about donor/acceptor interfaces and crystalline texture in BHJ blend films. The visualization of nanocrystallites, however, is difficult due to the complex semi-crystalline structure with few characterization techniques capable of visualizing the molecular ordering of soft materials at the nanoscale. Here, it is demonstrated how cryo-electron microscopy can be utilized to visualize local nanoscale order. This method is used to understand the distribution/orientation of crystallites in a BHJ blend. Long-range (>300 nm) texturing of IEICO-4F crystallites oriented in an edge-on fashion is observed, which has not previously been observed for spin-coated materials. This approach provides a wealth of quantitative information about the texture and size of nanocrystallites, which can be utilized to understand charge generation and transport in organic film. This study guides tailoring the material design and processing conditions for high-performance organic optoelectronic devices. 相似文献
29.
Amitoj Bir Singh Lalit Kumar Awasthi Urvashi Mohammad Shorfuzzaman Abdulmajeed Alsufyani Mueen Uddin 《计算机、材料和连续体(英文)》2023,74(2):2541-2555
Neural networks play a significant role in the field of image classification. When an input image is modified by adversarial attacks, the changes are imperceptible to the human eye, but it still leads to misclassification of the images. Researchers have demonstrated these attacks to make production self-driving cars misclassify Stop Road signs as 45 Miles Per Hour (MPH) road signs and a turtle being misclassified as AK47. Three primary types of defense approaches exist which can safeguard against such attacks i.e., Gradient Masking, Robust Optimization, and Adversarial Example Detection. Very few approaches use Generative Adversarial Networks (GAN) for Defense against Adversarial Attacks. In this paper, we create a new approach to defend against adversarial attacks, dubbed Chained Dual-Generative Adversarial Network (CD-GAN) that tackles the defense against adversarial attacks by minimizing the perturbations of the adversarial image using iterative oversampling and undersampling using GANs. CD-GAN is created using two GANs, i.e., CDGAN’s Sub-Resolution GAN and CDGAN’s Super-Resolution GAN. The first is CDGAN’s Sub-Resolution GAN which takes the original resolution input image and oversamples it to generate a lower resolution neutralized image. The second is CDGAN’s Super-Resolution GAN which takes the output of the CDGAN’s Sub-Resolution and undersamples, it to generate the higher resolution image which removes any remaining perturbations. Chained Dual GAN is formed by chaining these two GANs together. Both of these GANs are trained independently. CDGAN’s Sub-Resolution GAN is trained using higher resolution adversarial images as inputs and lower resolution neutralized images as output image examples. Hence, this GAN downscales the image while removing adversarial attack noise. CDGAN’s Super-Resolution GAN is trained using lower resolution adversarial images as inputs and higher resolution neutralized images as output images. Because of this, it acts as an Upscaling GAN while removing the adversarial attak noise. Furthermore, CD-GAN has a modular design such that it can be pre-fixed to any existing classifier without any retraining or extra effort, and can defend any classifier model against adversarial attack. In this way, it is a Generalized Defense against adversarial attacks, capable of defending any classifier model against any attacks. This enables the user to directly integrate CD-GAN with an existing production deployed classifier smoothly. CD-GAN iteratively removes the adversarial noise using a multi-step approach in a modular approach. It performs comparably to the state of the arts with mean accuracy of 33.67 while using minimal compute resources in training. 相似文献
30.
Nico Jurtz Gregor D. Wehinger Urvashi Srivastava Tobias Henkel Matthias Kraume 《American Institute of Chemical Engineers》2020,66(6):e16967
Catalytic fixed-bed reactors with a low tube-to-particle diameter ratio are widely used in industrial applications. The heterogeneous packing morphology in this reactor type causes local flow phenomena that significantly affect the reactor performance. Particle-resolved computational fluid dynamics has become a predictive numerical method to analyze the flow, temperature, and species field, as well as local reaction rates spatially and may, therefore, be used as a design tool to develop new improved catalyst shapes. Most validation studies which have been presented in the past were limited to simple particle shapes. More complex catalyst shapes are supposed to increase the reactor performance. A workflow for the simulation of fixed-bed reactors filled with various industrially relevant complex particle shapes is presented and validated against experimental data in terms of bed voidage and pressure drop. Industrially relevant loading strategies are numerically replicated and their impact on particle orientation and bed voidage is investigated. 相似文献