Contextualising and Understanding Hybrid Warfare by Pakistan

Post abrogation of Article 370 and deterioration in Indo-Pak relations, Pakistan is running out of options and, therefore, would again attempt to activate, exploit, and consolidate its hybrid resources. This is likely to manifest in activation of sleeper cells, the surge in infiltration, fresh recruitment, recycling of some apprehended/surrendered terrorists, and triggering violent agitations in the hinterland of Jammu & Kashmir (J&K). To predict and prepare for likely threats in the future, it is essential to understand and contextualise the hybrid warfare capabilities of Pakistan

A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks

Transfer Learning (TL) plays a crucial role when a given dataset has insufficient labeled examples to train an accurate model. In such scenarios, the knowledge accumulated within a model pre-trained on a source dataset can be transferred to a target dataset, resulting in the improvement of the target model. Though TL is found to be successful in the realm of image-based applications, its impact and practical use in Natural Language Processing (NLP) applications is still a subject of research. Due to their hierarchical architecture, Deep Neural Networks (DNN) provide flexibility and customization in adjusting their parameters and depth of layers, thereby forming an apt area for exploiting the use of TL. In this paper, we report the results and conclusions obtained from extensive empirical experiments using a Convolutional Neural Network (CNN) and try to uncover thumb rules to ensure a successful positive transfer. In addition, we also highlight the flawed means that could lead to a negative transfer. We explore the transferability of various layers and describe the effect of varying hyper-parameters on the transfer performance. Also, we present a comparison of accuracy value and model size against state-of-the-art methods. Finally, we derive inferences from the empirical results and provide best practices to achieve a successful positive transfer.Comment: 9 pages, 2 figures, accepted in SDM 201

Accurate location estimation of moving object In Wireless Sensor network

One of the central issues in wirless sensor networks is track the location, of moving object which have overhead of saving data, an accurate estimation of the target location of object with energy constraint .We do not have any mechanism which control and maintain data .The wireless communication bandwidth is also very limited. Some field which is using this technique are flood and typhoon detection, forest fire detection, temperature and humidity and ones we have these information use these information back to a central air conditioning and ventilation. In this research paper, we propose protocol based on the prediction and adaptive based algorithm which is using less sensor node reduced by an accurate estimation of the target location. We had shown that our tracking method performs well in terms of energy saving regardless of mobility pattern of the mobile target. We extends the life time of network with less sensor node. Once a new object is detected, a mobile agent will be initiated to track the roaming path of the object

Low-temperature critical current of Y1-xCaxBa2Cu3O7-delta thin films as a function of hole content and oxygen deficiency

The effects of hole content (p) and oxygen deficiency (delta) on the zero-field critical current density, Jc0, were investigated for high-quality c-axis oriented Y1-xCaxBa2Cu3O7-delta (x = 0, 0.05, 0.10, and 0.20) thin films. Ca was used to introduce hole carriers in the CuO2 planes, independent of the oxygen deficiency in the CuO1-delta chains. Low-temperature Jc0(16K) of these films above the optimum doping were found to be high (> 10^7 Amp/cm^2) and were primarily determined by the hole concentration, reaching a maximum at p ~ 0.185+/-0.005, irrespective of oxygen deficiency. This implies that oxygen disorder plays only a secondary role and the intrinsic Jc0 is mainly governed by the carrier concentration and consequently by the superconducting condensation energy which also peaks at p ~ 0.19 where the pseudogap correlation vanishes

A Review on Ganoderma (King of herbs): Health benefits as health supplements

Ganoderma lucidum (G. lucidum), commonly referred to as Lingzhi in China, is a fungus which has been widely used through the centuries for the general promotion of health and longevity in Asiancountries.TheLatinwordlucidusmeans“shiny”or“brilliant”andreferstothevarnished appearance of the surface of the mushroom. In China, G. lucidum is called lingzhi, whereas in Japan the name for the Ganodermataceae family is reishi ormannentake. The anti-cancer effects of G.lucidum have been demonstrated in both invitro and invivo studies.Inaddition,the observed anti-cancer activities of Ganoderma have prompted its usage by cancer patients alongside chemotherapy. It has been known to have numerous pharmacological effects including immuno- modulating, anti-inflammatory, anti-cancer, anti-diabetic, anti-oxidative and radical-scavenging, and anti-aging effects. The main two bioactive components of G. lucidum can be broadly grouped into triterpenes and polysaccharides. Despite triterpenes and polysaccharides being widely known as the major active ingredients, the different biological pathways by which they exert their anti-cancer effect remain poorly defined.Several types of Ganoderma products are available on the market including ground fruiting bodies or mycelium processed into capsule or tablet form; extracts from fruiting body or mycelium dried and processed into capsule or tablet form, Ganodermabeer and Ganoderma hair tonics (Jong and Birmingham, 1992).Most mushrooms are 90% water by weight. For G. lucidum, the remaining 10% consists of 26–28% carbohydrate,3–5%crudefat,59%crudefibre,and7–8%crudeprotein.Inaddition,G.lucidum contains a wide variety of bioactive constituents such as terpenoids, steroids, phenols, glycoproteins, and polysaccharides. In this review, we focused on the various health benefit of G. lucidum, in particular, the two main active ingredients: triterpenes and polysaccharides