Precise identification of objects in a hyperspectral image by characterizing the distribution of pure signatures

Hyperspectral image (HSI) has been widely adopted in many real-world applications due to its potential to provide detailed information from spectral and spatial data in each pixel. However, precise classification of an object from HSI is challenging due to complex and highly correlated features that exhibit a nonlinear relationship between the acquired spectral unique to the HSI object. In literature, many research works have been conducted to address this problem. However, the problem of processing high-dimensional data and achieving the best resolution factor for any set of regions remains to be evolved with a suitable strategy. Therefore, the proposed study introduces simplified modeling of the hyperspectral image in which precise detection of regions is carried out based on the characterization of pure signatures based on the estimation of the maximum pixel mixing ratio. Moreover, the proposed system emphasizes the pixel unmixing problem, where input data is processed concerning wavelength computation, feature extraction, and hypercube construction. Further, a non-iterative matrix-based operation with a linear square method is performed to classify the region from the input hyperspectral image. The simulation outcome exhibits efficient and precise object classification is achieved by the proposed system in terms classified HSI object and processing time

A Naïve Visual Cryptographic Algorithm for the Transfer of Compressed Medical Images

The transmission of a suitably compressed image over a bandwidth, over long distances, gives rise towards a new era in the field of information technology. A gradual increase in this appending scenic application, involving the transfer of the images securely over the Ethernet has become an increasingly important aspect to be addressed during thou phenomenon, especially in the transfer of the digital medical images vividly, encapsulated with abundant information related to these images. The compressed medical images of the DICOM format contain certain amount of confidential data, pertaining to a clinical research or to an individual, and the confidentiality of the same has to be preserved from various security threats and eves-dropping. With a widespread applications among various multimedia applicative systems, telemedicine, medical imaging, military and certain safety-critical applications, inter-net and intra-net communicative applications, etc, a reliable transfer of suitable information, efficiently & securely is considered as one of the revolutionary aims in today’s communication technology and visual cryptographic methodologies. Real-time applications as such detailed above majorly is concerned with the security measures and many algorithms have been developed as a proof for various visual cryptographic methodologies. In this paper we propose an efficient and a reliable visual cryptographic methodology which focuses on the encryption and decryption of the two-dimensional DICOM standard compressed medical image, effectively.  This paper discusses an efficient design of 192 bit encoder using AES Rijndael Algorithm with the decomposition of an image into square image size blocks and the image blocks are shuffled using 2D CAT map. The shuffling of the image blocks/pixels employs a Logistic map of these image pixels coupled with 2D mapping of the pixels of the DICOM standard medical image, generated randomly, being the control parameter thereby creating a confusion between the cipher and the plain image, gradually increasing the resistive factor against the significant attacks. This paper proposes various analytical metrics such as correlation analysis, entropy analysis, homogeneity analysis, energy analysis, contrast and mean of absolute deviation analysis, to evaluate the proposed algorithm, and their suitability in image encryption applications

A randomized controlled trial to evaluate the effect on pain by Agnikarma with Madhuchista (bee wax) and Panchaloha Shalaka in Vatakantaka

Background: Vaatakantaka explained in the context of Vatavyadhi, it has been said that when the foot is kept on the uneven ground or placing the foot improperly (while walking) or by over exertion of the foot, Vata localized in the Khudaka (heel region) gets aggravated and produces pain. Sharp stinging pain at the heel of foot which resembles the symptoms of calcaneus spur. All the Ayurvedic classics have given due importance to the Vatavyadhi and especially Shoola Pradhana Vatavyadhi. Among the Anushastra Chikitsa, Agnikarma is gaining acceptance and becoming more popular among Ayurvedic surgeons. The procedure of Agnikarma is very short and gives instant relief. In this study Agnikarma is performed with two different materials in the treatment of Vatakantaka. Hence here is an attempt is made to compare the efficacy of Agnikarma with Panchalohashalaka with Madhuchista in the management of pain in Vatakantaka

Carbon storage potential of shelter belt agroforestry system in northern transitional zone of Karnataka, India

Carbon sequestration has been suggested as a means to mitigate the increase in atmospheric carbon dioxide concentration. As agrisilviculture systems is one of the better options for stocking of carbon in plants and in soil. In the present study, carbon sequestration was quantified both biomass as well as in soil of agrisilviculture sys-tem six different tree species were selected such as, Pongamia pinnata, Dalbergia sissoo, Acacia auriculiformis, Tectona grandis, Casuarina equisitifolia, Azadirachta indica in shelterbelt of agroforestry system in arid region of Karnataka. Among six different tree species planted under shelterbelt, the growth performance with respect to gbh, height, clear bole height and basal area was highest in A. auriculiformis and A. indica. While maximum above ground biomass was observed in A. auriculiformis (59.75 t ha-1) followed by T.grandis (56.62 t ha-1), respectively. Whereas, below ground biomass was highest in T. grandis (20.25t ha-1) followed by A. auriculiformis (14.75t ha-1). Above ground carbon sequestration was highest in A. auriculiformis (13.30 t ha-1) followed by T. grandis (12.20 t ha-1), respectively. Whereas, below ground carbon sequestration was more in T. grandis (4.35 t ha-1) followed by A. auriculiformis (3.95 t ha-1). The Shelterbelt system sequestered 0.43 to 1.34% soil organic carbon stock in different depth. The carbon sequestered in different tree species was varying from 3.48 tons to 17.25 t ha-1.Growing tree crops in shelterbelts, bunds in the agroforestry systems will enhance accumulation of carbon stocking and provide additional benefits to the farmer’s income. It also regulates microclimate and increases the tree cover in agricultural field

Bisbenzimidazoles: Anticancer Vacuolar (H⁺)-ATPase Inhibitors

Small molecule chemotherapeutic agents such as Imatinib, Gefitinib, and Erlotinib have played a significant role in the treatment of cancer. Although the unprecedented progress has been achieved in cancer treatment with these targeted agents, there is a strong demand for the development of selective and highly efficacious cancer drugs. V-ATPases are emerging as important target for the identification of novel therapeutic agents for cancer. Our screening and drug discovery processes have identified the bisbenzimidazole derivative (RP-15) as a potent anticancer V-ATPase inhibitor. In the present study, bisbenzimidazoles (compound-25, RP-11 and RP-15) have been tested for proton-pump inhibition activity in human hepatoma cell line (Huh7.5). RP-15 displayed comparable proton-pump inhibition activity to the standard Bafilomycin A1. We examined the antiproliferative activity of these analogs in two highly invasive and metastatic inflammatory breast cancer (IBC) cell lines (SUM 149PT and SUM190PT) along with Huh7.5. The compound-25 (SUM190PT: IC50 = 0.43±0.11 μM) and its structural analog RP-11 (SUM190PT: IC50 = 0.49±0.09 μM) have shown significant inhibition toward IBC cell lines. Additionally, RP-11 and RP-15 have demonstrated very good cytotoxicity toward the majority of cancer cell lines in the NCI 60 cell line panel

Large Conductance, Calcium Activated Potassium (BK) Channels as New Therapeutic Target for Glioma

Gliomas are the most common malignant primary brain tumors that arise within the central nervous sys-tem in adults and they account for more than 80% of all brain tumors (Central Brain Tumor Registry of the United States [CBTRUS] http://www.cbtrus.org/). These tumors remain difficult to treat because of the infiltrative growth of the tumor cells, and their resist-ance to standard therapy. Glioblastoma Multiforme (WHO grade IV) is the most aggressive of the gliomas, accounts for nearly 60-70% of malignant gliomas. A common approach for the treatment of GBM involves surgery, radiation therapy, and various chemotherapeu-tic regimens [1,2]. Despite advance standard therapy, including surgical resection followed by radiation and chemotherapy, the prognosis for patients with GBM remains poor. Even patients who are optimally treated with combined multimodal treatments have a median survival of only 12 months. This is possibly because of the poor drug delivery and the correspondingly lim-ited therapeutic response caused by partly intact blood brain barrier (BBB) and blood-tumor barrier (BTB)

Palladium Nanoparticles Grafted onto Phytochemical Functionalized Biochar: A Sustainable Nanozyme for Colorimetric Sensing of Glucose and Glutathione

The devising and development of numerous enzyme mimics, particularly nanoparticles and nanomaterials (nanozymes), have been sparked by the inherent limitations imposed by natural enzymes. Peroxidase is one of the enzymes that is extensively utilized in commercial, medical, and biological applications because of its outstanding substrate selectivity. Herein, we present palladium nanoparticles grafted on Artocarpus heterophyllus (jackfruit) seed-derived biochar (BC-AHE@Pd) as a novel nanozyme to imitate peroxidase activity en route to the rapid and colorimetric detection of H2O2, exploiting o-phenylenediamine as a peroxidase substrate. The biogenically generated BC-AHE@Pd nanocatalyst was synthesized utilizing Artocarpus heterophyllus seed extract as the reducing agent for nanoparticle formation, while the residue became the source for biochar. Various analytical techniques like FT-IR, GC-MS, FE-SEM, EDS, TEM, SAED pattern, p-XRD, and ICP-OES, were used to characterize the BC-AHE@Pd nanocatalyst. The intrinsic peroxidase-like activity of the BC-AHE@Pd nanocatalyst was extended as a prospective nanosensor for the estimation of the biomolecules glucose and glutathione. Moreover, the BC-AHE@Pd nanocatalyst showed recyclability up to three recycles without any significant loss in activity