A sequence-based survey of the complex structural organization of tumor genomes

Tumors and cancer cell lines were surveyed with end-sequencing profiling, yielding the largest available collection of sequence-ready tumor genome breakpoints and providing evidence that some rearrangements may be recurrent

Understand the Concept of Nidanarthakara Roga w.s.r. to Obesity

Ayurveda is a holistic science of life described many fundamental principles related to the Dosha, Dushya, Srotasa, Vyadhi utpatti and Vyadhi cikitsa etc. Ayurveda furthermore presented many aspects related to the prevention of Vyadhi and avoidance of Nidanas in terms of Nidana parivarjana. Nidana plays a key role in manifestation of any diseases. Sometime disease itself acts as Nidana and plays a key role in the onset of another disease. This concept is undertaken by Acarya Caraka under the title Nidanarthakara roga (a disease itself become causative factor for some other disease). The disease manifest first is termed as primary disease, while disease manifest as consequence of primary disease termed as secondary disease. In the today’s time, it is crucial to know the Nidanarthkaratva of any disease. The presenting era is more challenging for medical sciences on account of emerging of various lifestyle diseases. Obesity is one among them. Unhealthy diet habit, sedentary lifestyles are the various Nidanas for Obesity. Now days obesity is burning issue for society due its critical consequences. Sometime obesity itself act as Nidana for various diseases e.g. hypertension, diabetes mellitus, infertility, heart diseases, some form of malignancies etc. To prevent these consequences, we have thorough knowledge of the obesity and it’s Nidanarthakaratva. Here an attempt made to enlighten the knowledge of Nidanarthakara vyadhi and to elaborate the Nidanarthakaratva of obesity

On Minimizing TCP Traffic Congestion in Vehicular Internet of Things (VIoT)

The performance of end-to-end wireless link congestion control algorithm in the vehicular internet of things network is plagued by the inherent limitations of spurious rate control initiation, slow convergence time, and fairness disparity. In this article, the delay assisted rate tuning (DART) approach is proposed for the vehicular network that implements two algorithms, utilization assisted reduction (UAR) and super linear convergence (SLC), to overcome the transmission control protocol (TCP) limitations. The UAR algorithm is responsible for initiating the proportionate rate control process based on the bottleneck prediction parameter, thereby regulating the needless rate control during non-congested losses. In the congestion recovery mode, the SLC algorithm executes a dynamic rate update mechanism that enhances the flow rate and minimizes bandwidth sharing disparity among TCP flows. An analytical model was developed to study the DART convergence rate and fairness performance against the existing algorithm. The vehicular simulation outcome also confirms significant enhancement in average transmission rate, average message latency, and average bandwidth sharing performances of the DART algorithms against the RFC 6582, TCP-LoRaD, and CERL + congestion avoidance algorithms under varying traffic flows and node movement scenarios