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Floor Acceleration Amplification Factor in Yielding of Moment Resisting RC frame Structures
Get PDFStructural elements have been designed as load-bearing as well as non-load bearing. Non-structural components (NSCs) represent the non-load-bearing elements of the structures. Many provisions have been provided for seismic design of primary components of structures, but limited prescription has been provided for seismic designing of NSCs. This paper describes the behaviour of the acceleration-sensitive NSCs for different ranges of ground motions. For this study, the four different height of moment-resisting RC frame models, fixed at the base of the structure have been considered. With 17 far-field seismic ground motions, the building models have been investigated using the incremental dynamic approach. To analyze the floor response spectra, building periods, and structures ductility parameters, based on this proposed the acceleration amplification factors of the NSCs
A Fast-Dehazing Technique using Generative Adversarial Network model for Illumination Adjustment in Hazy Videos
Get PDFHaze significantly lowers the quality of the photos and videos that are taken. This might potentially be dangerous in addition to having an impact on the monitoring equipment' dependability. Recent years have seen an increase in issues brought on by foggy settings, necessitating the development of real-time dehazing techniques. Intelligent vision systems, such as surveillance and monitoring systems, rely fundamentally on the characteristics of the input pictures having a significant impact on the accuracy of the object detection. This paper presents a fast video dehazing technique using Generative Adversarial Network (GAN) model. The haze in the input video is estimated using depth in the scene extracted using a pre trained monocular depth ResNet model. Based on the amount of haze, an appropriate model is selected which is trained for specific haze conditions. The novelty of the proposed work is that the generator model is kept simple to get faster results in real-time. The discriminator is kept complex to make the generator more efficient. The traditional loss function is replaced with Visual Geometry Group (VGG) feature loss for better dehazing. The proposed model produced better results when compared to existing models. The Peak Signal to Noise Ratio (PSNR) obtained for most of the frames is above 32. The execution time is less than 60 milli seconds which makes the proposed model suited for video dehazing
Machine Learning Approach-based Big Data Imputation Methods for Outdoor Air Quality Forecasting
Get PDFMissing data from ambient air databases is a typical issue, but it is much worse in small towns or cities. Missing data is a significant concern for environmental epidemiology. These settings have high pollution exposure levels worldwide, and dataset gaps obstruct health investigations that could later affect local and international policies. When a substantial number of observations contain missing values, the standard errors increase due to the smaller sample size, which may significantly affect the final result. Generally, the performance of various missing value imputation algorithms is proportional to the size of the database and the percentage of missing values within it. This paper proposes and demonstrates an ensemble – imputation – classification framework approach to rebuild air quality information using a dataset from Beijing, China, to forecast air quality. Various single and multiple imputation procedures are utilized to fill the missing records. Then ensemble of diverse classifiers is used on the imputed data to find the air pollution level. The recommended model aims to reduce the error rate and improve accuracy. Extensive testing of datasets with actual missing values has revealed that the suggested methodology significantly enhances the air quality forecasting model’s accuracy with multiple imputation and ensemble techniques when compared to other conventional single imputation techniques
Traffic Clearance for Ambulance during Pandemic Situation and Road Accidents using LoRaWAN Network
Get PDFIntelligent Transportation System (ITS) plays an important role in handling pandemic situation and disaster management. Due to rapid urbanization, there is a requirement for implementing an effective traffic control system not only to avoid heavy congestion but also to make a better solution for ambulance clearance which would help to save the human life. The proposed work intends to implement an effective traffic control system using Long-Range Wide Area Network (LoRaWAN) that provides seamless traffic clearance for ambulances, so that they reach the hospitals without any delay. Cupcarbon, a Wireless Sensor Network (WSN) simulator, is used to evaluate the performance of the proposed work. The simulation involves a case study considering an accident zone in Coimbatore city and the performance of the proposed system is compared with that of existing systems. The simulation results prove that LoRaWAN can be used to effectively control the traffic lights with a wider coverage range, as compared to existing systems
NiWO4 catalyzed expeditious synthesis of pyranopyrazoles
Get PDFIn this paper, a multicomponent green rapid method for synthesis of pyranopyrazoles is reported using NiWO4 in water in 15 min. Environment friendly features such as energy efficiency, aqueous medium, no hazardous solvent, no chromatography, in addition to the short reaction time, catalyst reusability and substrate tolerance without affecting yield proves the near perfectness of this method for synthesis of medicinally important pyranopyrazoles. NiWO4, ZnWO4 and CuWO4 have been synthesized using extract of plant Phyllantus amarus. The prepared catalysts have been characterized by XRD, EDX and SEM
Interaction of dpyatriz and Cu/Zn-dpyatriz complexes with human telomere DNA: The role of G-quadruplex formation and its effect on antitumor and antitelomerase activity
Get PDF1,3,5-Triazine derivative of dipyridyl amine (dpyatriz) and the Cu(II), Zn(II) complexes have been prepared, characterized by CHN, IR, NMR and mass measurements and interacted with HTelo8 and HTelo20, the two types of human telomere repeat DNA (TTAGGG)n; n = 8, 20. The telomere DNAs have been treated with all three compounds (dpyatriz, Cu-dpyatriz and Zn-dpyatriz) under parallel/antiparallel and random coiled conditions. The interactions are followed by circular dichrosim measurements, fluorescent intercalator displacement (FID) assays and molecular docking studies through MOE program. The free ligand and its Cu(II) and Zn(II) complexes stabilize predominantly antiparallel G-quadruplex form under antiparallel and no salt conditions. The binding constant (Kb) values calculated for the ligand and complexes are in the range of 1.9 x 105 M-1 to 4.2 x 107 M-1 under various conditions show the higher affinity of G-quadruplex conformations. The FID assay using thiazole orange with HTelo20 clearly depicts the G-quadruplex stabilization through strong binding mode. Also, all the three compounds dpyatriz, Cu-dpyatriz and Zn-dpyatriz show an intercalative mode of interaction with antiparallel G quadruplex DNA in molecular docking studies. The compounds show cytotoxicity with the IC50 values in the range of 50 – 90 nM, and antitelomerase activity in the range of 5 to 10 μM
Synthesis, characterization, cytotoxicity evaluation and molecular docking study of new bis-chalcone, fused-pyrimidine and fused-pyrazoline derivatives
Get PDFChemotherapeutic drug resistance and high-risk side effects are common limitations in cancer treatment. Thus, the continuous development of new drugs that target only the cancer cell without affecting the normal cells is needed. The simple structure of the chalcone and the ease of its synthesis showed promising functions. Such compounds have been reported to exhibit diverse pharmacological activities, particularly anticancer. This study involves the design of chalcones 1 and 2 which have been synthesized via Claisen-Schmidt condensation. Further cyclo-condensation reactions of these chalcone compounds has formed five pyrazoline and three pyrimidine derivatives. All the desired derivatives are characterised by FT-IR, 1H-NMR, and 13C-NMR. These derivatives are tested for cytotoxicity against breast cancer cell lines (MCF-7 and MD-MB-231) and normal breast cell lines (MCF-10A). The results emphasized that pyrazoline compounds 1Aii and 1Aiii are showing the minimum inhibition against MCF-7 with the IC50 values of56.73±3.3 µM and 37.74±1.32 µM, respectively, after 24 h of exposure, which are comparable to Tamoxifen, as reference anticancer drug (IC50 = 42.66±2.19 µM)
Traditional healing practices for treatment of animal bites among tribes of India: A systematic review
Get PDFAnimal bites are a significant concern of public health and mortality throughout the world, wherein India reports the highest number of deaths due to snakebites. The tribes of India (Scheduled Tribes or STs), constituting about 8.6% of India’s population with a total of more than 104 million, mostly inhabit remote and inaccessible areas, with their subsistence and habitation being primarily forest-derived. This forest-based lifestyle exposes tribal populations to animal bites which are often lethal, and at the same time, it is the forest only on which tribes are dependent for getting their primary health care through the institution of traditional healer or ethnomedical practitioner who uses natural resources to cure various health issues. This system of knowledge and immense know-how of illness, diagnosis, treatment and utilization of natural resources (especially plants) in treatment of a myriad of ailments is transferred orally from one generation to another. The present work is an attempt to assemble information related to various plants and practices being used as traditional medicine for treating animal bites by the tribes of India. The review was undertaken by categorising research articles focusing on tribes residing in different geographical zones of India (seven zones for the current purpose) and their treatment pattern involving usage of plants for various types of animal bites. We find that present work fills-in the critical gap by providing detailed analysis of 276 plant species being used in 423 herbal preparations for curing animal bites by 81 tribes of India. It is found that tribal populations residing in Southern parts of the country report the usage of highest number of medicinal plants, whereas scarce data is available on the traditional medicinal practices for curing animal bites in tribes of the Island zone (i.e., in the Andaman & Nicobar Islands). This facet of tribal lifestyle, involving usage of natural resources around them for healthcare, is in a way exemplary of their survivability in tough forested conditions since time immemorial, and, thus should be treated as a success story in itself.
STMS markers related to Ascochyta blight resistance in chickpea
Get PDFChickpea (Cicer arietinum L.) is one of the important legume crops and is cultivated in large-scale throughout Türkiye as well as the world. Ascochyta blight, caused by the fungal phytopathogen Ascochyta rabiei, is the leading reason for the highest yield losses among the diseases known for chickpea. The pathogen exhibits high genetic diversity in Türkiye. Therefore, resistancy using Sequence Tagged Microsatellite Site (STMS) markers related with the genes that provide resistant against Ascochyta blight was investigated for the 205 chickpea breeding lines grown in different parts of Türkiye. The analysis for Ascochyta blight resistance was performed using Ta2, Ta146 and Ts54. It was demonstrated that Ta2, Ts54 and Ta146 were the STMS markers having distinguishable features for the detection of Ascochyta blight resistance and were shown to be used in credible fashion for the selection of resistant chickpea breeding lines
Temperature and Strain Rate Dependent Anisotropic Plastic Deformation Behavior of AZ31B Mg Alloy
Get PDFIn the present study, the plastic deformation of commercially available AZ31B alloy at different temperatures (300K-473K) and strain rates (0.1s-1-0.01s-1-0.001s-1) under uniaxial tensile test has been carried out. Three different sheet orientations, viz., rolling direction (RD), transverse direction (TD), and 45° to rolling direction have been used. The outcomes of the experiments have demonstrated a temperature-dependent relationship between mechanical properties such as yield strength, ultimate tensile strength, and percentage elongation. The yield strength and ultimate tensile strength has decreased by 28.58% and 31.03% respectively as temperature increased from 300 K to 473 K. At elevated temperature (473 K) the material has exhibited highest ductility (64.88%) as compare to 300 K. The hardening exponent has been found to decrease with increasing temperature. The flow stress behaviour has been predicted using work hardening models such as the Hollomon and Ludwik. Two-stage work hardening behavior has been observed at all the temperatures. According to statistical parameter comparison, Ludwik equation prediction capability of correlation coefficient (0.9959) has been found to be best in agreement with the experimental results