Water stress induced changes in antioxidant enzymes, membrane stability and seed protein profile of different wheat accessions

Water stress induced changes in antioxidant enzymes membrane stablity index and seed protein profiling of four different wheat (Triticum aestivum L.) accessions (011251, 011417, 011320 and 011393) were determined in a pot study under natural condition during the wheat-growing season 2005 and 2006. Sampling was done 3, 6 and 9 days after induction of water stress. Recovery was studied at 48 and 72 h of re-watering. Marked increase in leaf antioxidant enzymes associated with a decrease inmembrane stability index occurred under water stress. Accession 320 showed the least increase in catalase and peroxidase activity but maximum decrease in membrane stability index. The inhibitoryeffects of water stress on plants were ameliorated by exogenous application of ABA and this ameliorating effect was found to be more significant at booting stage as compared to grainfilling particularly in the accession 320. The accessions 417 and 320 (which were most dissimilar on the basis of physiology under water stress, one most tolerant and the other most sensitive to water stress) showed least polymorphism among the four accessions on the basis of RAPD (Random AmplifiedPolymorphic DNA) analysis. Seed protein composition was found to be mainly controlled by genetic factors rather than water stress

Pemanfaatan Citra Penginderaan Jauh Untuk Pemetaan Terumbu Karang Di Teluk Tomini Bagian Kota Gorontalo

Pemanfaatan teknologi penginderaan jauh di Indonesia berkembang pesat melalui pemanfaatan dalam kegiatan inventarisasi sumberdaya alam dan lingkungan. Namun, tidak demikian halnya untuk kelautan yang masih belum lama menggunakan teknologi penginderaan jauh. Penelitian ini bertujuan untuk mengetahui kemampuan teknologi penginderaan jauh untuk ekstraksi data terumbu karang dan mengetahui sebaran lokasi serta kondisi terumbu karang di Teluk Tomini. Penelitian ini menggunakan salah satu aplikasi penginderaan jauh yaitu Landsat 8 untuk pemetaan terumbu karang. Pemrosesan citra dilakukan dengan algoritma Lyzenga untuk mengoreksi tubuh air (water column correction). Pengambilan sampel menggunakan metode transek garis. Uji akurasi dilakukan dengan menggunakan Matriks Konfusi. Hasil penelitian ini menunjukkan kemampuan citra Landsat 8 untuk ekstraksi data terumbu karang. Selanjutnya proses ekstraksi ini digunakan untuk memetakan lokasi sebaran dan luasan terumbu karang yang ada di Teluk Tomini bagian Kota Gorontal

Hybrid Loss with Network Trimming for Disease Recognition in Gastrointestinal Endoscopy

EndoTect Challenge 2020, which aims at the detection of gastrointestinal diseases and abnormalities, consists of three tasks including Detection, Efficient Detection and Segmentation in endoscopic images. Although pathologies belonging to different classes can be manually separated by experienced experts, however, existing classification models struggle to discriminate them due to low inter-class variability. As a result, the models’ convergence deteriorates. To this end, we propose a hybrid loss function to stabilise model training. For the detection and efficient detection tasks, we utilise ResNet-152 and MobileNetV3 architectures, respectively, along with the hybrid loss function. For the segmentation task, Cascade Mask R-CNN is investigated. In this paper, we report the architecture of our detection and segmentation models and the performance of our methods on HyperKvasir and EndoTect test dataset

A compressive survey on different image processing techniques to identify the brain tumor.

Medical imaging technology has revolutionized health care over the past three decades, allowing doctors to detect, cure and improve patient outcomes. Medicinal imaging involves pictures - of internal organs, parts, tissues and bones - for therapeutic examination and research purposes. X-ray and CT scanners are the two greatest results of progress in imaging methods supplanting 2D procedures. Magnetic resonance imaging (MRI) is an imaging procedure that is utilized in radiology to visualize interior structures of the body and better understand how they work. X-ray provides a 3D image of the body's interior; as well as being critical for tumor discovery, this also enables surgeons to more easily dissect infections or tumors than was possible with older X-beam technology, which provided a 2D image. This paper provides an overview of different systems that can be used for distinguishing and preparing medical images

Transnational networks within the Australian fashion industry: case studies on Akira Isogawa, Easton Pearson and Vixen

This research focuses on the creation of fashion using a transnational establishment where traditional Eastern artisanal techniques within the realm of textiles, are accessed from different geographic locations. And pplied within a Western context to create fashion that is global in nature. The study analyses the practices of three Australian Womenswear designers: Akira Isogawa, Easton Pearson and Vixen to ascertain the presence of transnational networks within their systems. The objective is to identify the geographic aspect of their practices with a view to bringing their aesthetic into context. Which countries do they access and why? These Australian designers base their fashion on the production of specialised fabrics in which the textiles are custom made according to their specifications in locations, other than Australia and largely situated in parts of Asia. This process creates a type of fashion that adds value to a concept through the different stages of its making, based across different geographies in terms of inspirations, aesthetics and manufacturing. Thus, the nature of their transnationality is brought into question: are they accessing these regions for economic reasons or is there an underlying philosophy at work? Their actual practices are therefore examined with the view to identifying both their commonalities and their differences. The emphasis of this study lies in identifying the nature of these practices and situating them within the context of the transnational, identifying their networks and the communities that together develop a hybrid cultural translation manifesting new imaginaries

miRNAs: Small but deadly

microRNAs (miRNAs) are unique class of global gene regulators identified both in plants and animals. They can reduce protein levels of their target genes with a minor impact on the target genes mRNA. Levels of some miRNAs are found altered in cancers, so we might expect these regulatory molecules to be involved in the development of different carcinomas. The differential expression of certain miRNAs in various tumors might become a powerful tool to aid in the diagnosis and treatment of cancers. The precise biological roles of most miRNAs are still poorly understood and therefore, this review is an attempt to highlight the role and connections of human miRNA with different aspects of cancers.Key words: microRNA, cancer, tumour, metastasis, upregulation, miRNA

Full and fast calibration of the Heston stochastic volatility model

This paper presents an algorithm for a complete and e cient calibration of the Heston stochastic volatility model. We express the calibration as a nonlinear least-squares problem. We exploit a suitable representation of the Heston characteristic function and modify it to avoid discontinuities caused by branch switchings of complex functions. Using this representation, we obtain the analytical gradient of the price of a vanilla option with respect to the model parameters, which is the key element of all variants of the objective function. The interdependency between the components of the gradient enables an e cient implementation which is around ten times faster than a numerical gradient. We choose the Levenberg-Marquardt method to calibrate the model and do not observe multiple local minima reported in previous research. Two-dimensional sections show that the objective function is shaped as a narrow valley with a flat bottom. Our method is the fastest calibration of the Heston model developed so far and meets the speed requirement of practical trading

A PHARMACOLOGICAL COMPREHENSIVE REVIEW ON ‘RASSBHARY' PHYSALIS ANGULATA (L.)

The present review article reveals the importance of species Physalis angulata (L.) of the genus Physalis (L.) distributed worldwide including India. Physalis species are perennial, erect and variously having toothed or lobed leaves. Physalis angulata (L.) belongs to the family Solanaceae, includes about 120 species with different and specific herbal characters. On the basis of these herbal characters, the plant is traditionally used as medicine to cure various disorders like asthma, kidney, bladder, jaundice, gout, inflammations, cancer, digestive problems and diabetes etc. P. angulata is a source of the variety of phytoconstituents like phytosteroles, withangulatin A, a variety of physalins and flavonol glycoside etc. The plant extracts from the different parts having different pharmacological activities such as anti-cancerous, immunomodulatory, anti-diabetic, diuretic and anti-bacterial. In this article cytomorphological, phytochemical, biological activities and ethnobotanical inputs have been extensively recorded for P. angulata (L.)

Replay Attacks and Defenses Against Cross-shard Consensus in Sharded Distributed Ledgers

We present a family of replay attacks against sharded distributed ledgers targeting cross-shard consensus protocols, such as the recently proposed Chainspace and Omniledger. They allow an attacker, with network access only, to double-spend or lock resources with minimal efforts. The attacker can act independently without colluding with any nodes, and succeed even if all nodes are honest; most of the attacks can also exhibit themselves as faults under periods of asynchrony. These attacks are effective against both shard-led and client-led cross-shard consensus approaches. We present Byzcuit-a new cross-shard consensus protocol that is immune to those attacks. We implement a prototype of Byzcuit and evaluate it on a real cloud-based testbed, showing that our defenses impact performance minimally, and overall performance surpasses previous works