A Viterbi decoder with low-power trace-back memory structure for wireless pervasive communications

This paper presents a new trace-back memory structure for Viterbi decoders that reduces power consumption by 63% compared to the conventional RAM based design. Instead of the intensive read and write operations as required in RAM based designs, the new memory is based on an array of registers connected with trace-back signals that decode the output bits on the fly. The structure is used together with appropriate clock and power-aware control signals. Based on a 0.35 /spl mu/m CMOS implementation the trace-back back memory consumes energy of 182 pJ

A high-speed, low-power interleaved trace-back memory for Viterbi decoder

This paper presents a high-speed, low-power trace-back memory structure for a Viterbi decoder. The new memory is based on an array of registers connected with trace-back signals that decode the output bits on the fly. The trace-back memory is internally interleaved such that high-speed characteristic is achieved while low-power consumption is maintained. The structure is used together with appropriate clock and power-aware control signals. The design is 100% portable and is suitable for a SoftIP approach. Based on the AMS 0.35 /spl mu/m CMOS implementation the trace-back memory is estimated to consume energy of 232 pJ, which is 53.6% less than a conventional RAM based design, with a maximum throughput of 1.1 Gbps

Economic Burden of Renal Cell Carcinoma (RCC) and Treatment Patterns, Overall Survival and Healthcare Costs among Older Metastatic RCC Patients

Background Renal cell carcinoma (RCC) is the most common type of kidney cancer. Patients diagnosed with metastatic RCC (mRCC) have shorter overall survival compared to those diagnosed at earlier stages. Several targeted therapies, which cost from $7,000 -$16,000 per month have been approved since 2005 to treat mRCC. In addition, there is a growing interest in the use of cytoreductive nephrectomy (CN) with targeted therapies among mRCC patients. However, little is known regarding the economic burden of RCC and role of CN and prescribing patterns of targeted therapies among older mRCC patients. Objectives 1) To assess the economic burden of RCC among older adults in the targeted therapy era 2) To compare the overall survival (OS) and total healthcare cost (THC) among older mRCC patients receiving CN and targeted therapy versus patients receiving targeted therapy alone 3) To describe prescribing patterns of targeted therapies and associated OS and THC among older mRCC patients. Methods This dissertation was conducted using the Surveillance Epidemiology and End Results (SEER) - Medicare linked data. For the first objective, the study included a prevalent cohort of RCC patients from 2013, diagnosed during 2005 - 2013 and continuously enrolled in Medicare. RCC patients were matched to non-cancer beneficiaries using propensity score matching. Generalized linear models estimated the incremental healthcare costs. Incremental total healthcare cost (THC) was multiplied by the estimated number of RCC patients on Medicare to calculate the total economic burden of RCC. For the second objective, we included patients diagnosed with mRCC between 2007-2014 and compared overall survival (OS), and THC between patients who received CN + targeted therapy and targeted therapy alone. A propensity score based inverse probability of treatment weighting (IPTW) method was used to balance the two treatment groups. A Cox proportional hazard model assessed the risk for death and a GLM compared healthcare costs between the groups. For the third objective, patients with mRCC were defined as patients who were diagnosed at stage-IV or at earlier stages but were currently using targeted therapies. Further, we restricted our sample to patients who initiated targeted therapy. We described the frequencies of the most common first and second line targeted therapies. We also described OS and THC per month for clear-cell and non-clear cell mRCC for each therapy and line of therapy. Results The first study included 10,392 each of RCC and control patients. The average THC associated with RCC was $7,419. The average THC was$4,584 for patients diagnosed at stage-I, $4,727 for stage-II,$9,331 for stage-III, and $31,637 for stage-IV. The annual economic burden of RCC on Medicare was estimated to be$1.5 billion. The second study included 471 mRCC patients that received CN + targeted therapy or targeted therapy alone. The median OS from the adjusted survival curves was significantly higher (p Conclusions The economic burden of RCC varied substantially between early stage and metastatic patients. Among mRCC patients, use of CN among targeted therapy users was associated with a higher median OS and similar monthly THC over a lifetime. Sunitinib and everolimus were the most common first and second line targeted therapies among mRCC patients. The descriptive analysis suggested that OS and THC were similar across types of targeted therapy sequences

Genetic effects on heavy ions in drosophila

Drosophila sex-linked recessive lethal mutation test was used to study the dose response relation and relative biological effectiveness of heavy ions. The experiments were performed using the heavy ion beams at BEVALAC of Lawrence Berkeley Laboratory. These experiments were undertaken according to the proposed milestones and included Ne-20, A-40 and Fe-65 ions with respective energies of 600 MeV, 840 MeV and 850 MeV. At these energies several doses of these radiations ranging from 20 to 1280 R were used. Space radiation exposure to astronauts is supposed to be quite low and therefore very low dose experiments i.e., 20 R, were also performed for the three ions. The mutation response was measured in all germ cell types i.e., spermatozoa, spermatids, spermatocytes and spermatogonia of treated Drosophila males. A linear dose frequency relation was observed for most of the range except at high doses where the saturation effect was observed. Also, a very significant difference was observed among the sensitivity of the four germ cell stages where spermatozoa and spermatids were more sensitive. At the higher doses of this range, most of the spermatogonia and spermatocytes were killed. Although comparative and identical experiments with X-rays or neutrons have not been performed, the compassion of our data with the ones available in literature suggest that the heavy ions have a high rbe and that they are several times more effective than low LET X-rays. The rbe compared to neutrons however appears to be only slightly higher

Analysis of Next-generation Sequencing Data in Virology - Opportunities and Challenges

Viruses are the most abundant and the smallest organisms, which are relatively simple to sequence. Genome sequence data of viruses for individual species to populations outnumber that of other species. Although this offers an opportunity to study viral diversity at varying levels of taxonomic hierarchy, it also poses challenges for systematic and structured organization of data and its downstream processing. Extensive computational analyses using a number of algorithms and programs have opened exciting opportunities for virus discovery and diagnostics, apart from augmenting our understanding of the intriguing world of viruses. Unravelling evolutionary dynamics of viruses permits improved understanding of phenomena such as quasispecies diversity, role of mutations in host switching and drug resistance, which enables the tangible measurements of genotype and phenotype of viruses. Improved understanding of geno-/serotype diversity in correlation with antigenic diversity will facilitate rational design and development of efficacious vaccines against emerging and re-emerging viruses. Mathematical models developed using the genomic data could be used to predict the spread of viruses due to vector switching and the (re)emergence due to host switching and, thereby, contribute towards designing public health policies for disease management and control

Influence of Eclipta alba on serum alanine aminotransferase and aspartate aminotransferase activity in rabbits

Background: Paracetamol is a recognized antipyretic, analgesic drug which produces hepatic necrosis in high doses. Eclipta alba elaborates a vast array of biologically active compounds that are chemically diverse and structurally complex.Methods: Randomized open controlled experimental study Estimated levels of Serum aspartate aminotransferase (AST), Serum alanine aminotransferase (ALT) and Hepatoprotective action of in High doses of Paracetamol on serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activity.Results: ALT in all the groups including Control group (A) was (51.8±4.56IU/L). Paracetamol treated group (B) the ALT level increased at 48 hours and continued to be high up to 60 days (136.4±20.73IU/L) then decreased to (113.7±11.35IU/L) at 90 days. AST in all the groups including Control group (A) was (22.5±1.23IU/L). Appropriate antioxidant in appropriate doses as a matter of routine whenever hepatotoxic or potentially hepatotoxic drugs are prescribed. In Paracetamol treated group (B) the AST level increased at 48 hours and continued to be high up to 60 days (99.4±9.73IU/L) then decreased to (85.4±7.39IU/L) at 90 days.Conclusions: Appropriate antioxidant in appropriate doses as a matter of routine whenever hepatotoxic or potentially hepatotoxic drugs are prescribed

Malware security for Android Components using Layer permission

Today’s open source android smartphone operating system is adept of executing the multifaceted and enormous application, which increases the installation of diverse applications with increase in chance of installation of malware application. The behavior pattern of android is depicted by the requested permission of application. System explores a way to detect malware application based on requested permission by the application. Detection of malware application is done in two steps; first step is to selecting representative features by applying the FAST algorithm. Whereas representative feature is extracted permissions, requested in the application. In second step classification of application is done as a malware or benign application using support vector machine (SVM). Using FAST and SVM algorithms system can discriminate android application as malware also enrich the performance of malware detection system. DOI: 10.17762/ijritcc2321-8169.15053

STUDIES ON NANOPARTICLE INDUCED NUTRIENT USE EFICIENCY OF FERTILIZER AND CROP PRODUCTIVITY

A field experiment was conducted at M/s.Rashtriya Chemicals and Fertilizers, Ltd., Mumbai, India, (RCF) experimental farm to evaluate the effect of ZnO Nanoparticles (ZnO NP) in combination with N: P: K (15: 15:15) complex fertilizer “Suphala” of RCF Ltd. on growth attributes of brinjal (Solanum melongena L) as well as nutrient use efficiency. The experiment was carried out in randomised block design with three replications. The first treatment (T-1), comprised of recommended dose of fertilizer (RDF), N: P: K (50:50:50), applied at the time of transplantation. The second treatment (T-2) was conducted with RDF in combination @ 2kg ZnSO4 (bulk)/ha. The third treatment (T-3) was added, N: P: K (12.5; 12.5; 12.5) in combination to ZnO NP @ 4500mg/ha. The forth treatment (T-C) was without any fertilizer. All treatments were given appropriate quantity of nitrogen per hectare as urea at the 30th day of transplantation. The combination N: P: K (12.5; 12.5; 12.5) and ZnO NP @ 4500mg/ha yielded 91% and 45.3% higher brinjal yield and biomass respectively than the treatment with only RDF. It was also observed that 38% and 21% higher yield and biomass respectively were recorded in the treatment where combination of RDF with ZnSO4 (bulk) over RDF was used alone. The results of field trials reveal that, there was synergistic effect of ZnO NP @ 4500mg per hectare with N: P: K complex fertilizer on growth attributes of brinjal as well as nutrient use efficiency

Effect of Addition of Moringa Leaves (Moringa oleifera) on Chemical Characteristics and Nutritional Value of Chicken Sausage Chips

The leading cause of malnutrition in NTT province is the lack of balanced nutrition, one of which is macronutrients such as carbohydrates, proteins, and fats. So, there is a need for innovation from livestock products rich in readily available animal protein, one of which is chicken. Utilization of the results of heating technology Moringa leaf flour which is rich in micro and macronutrients is available in the province of NTT, so that it can provide processed products in the form of chicken sausage chips with the addition of Moringa leaf flour. This study aims to determine the effect of adding Moringa leaf flour P0, P1, P2, and P3 on chicken sausage chips' chemical characteristics and nutritional value. Each treatment P0 Moringa leaf flour (0%), P1 Moringa leaf flour (1%), P2 Moringa leaf flour (2%), P3 Moringa leaf flour (3%). The experimental method used is a simple, completely randomized design (CRD) with four treatments and four replications. Analysis of the ANOVA (Analysis of Variance) data and Duncan's further test, while the nutritional value content was calculated according to BPOM regulation NO 19 of 2019 concerning Nutrition Label Reference. The results showed that the addition of Moringa leaf flour had a significant effect on the chemical characteristics of P<0.05. According to the National Food and Drug Administration Agency (BPOM), for appropriate nutritional content, information on the nutritional value of chicken sausage chips

Overview of P-glycoprotein inhibitors: a rational outlook

Glicoproteína-p (P-gp), uma glicoproteína de transmembrana permeável, é um membro da superfamília (ABC) de cassete de gene de ligação de ATP que funciona especificamente como um carreador mediado pelo transportador de efluxo ativo primário. É amplamente distribuído por todo o corpo e apresenta uma gama diversificada de substratos. Diversos agentes terapêuticos vitais são substratos para P-gp e sua biodisponibilidade é reduzida ou a resistência é induzida devido ao efluxo de proteínas. Portanto, os inibidores da P-gp foram explorados para a superação da resistência a múltiplas drogas e problemas de biodisponibilidade deficiente dos substratos terapêuticos da P-gp. A sensibilidade das moléculas da droga à P-gp e vice-versa, pode ser estabelecida por vários modelos experimentais in silico, in vitro e in vivo. Desde a descoberta da P-gp, diversas pesquisas identificaram várias estruturas químicas como inibidores da P-gp. O objetivo deste presente estudo foi o de enfatizar a descoberta e desenvolvimento de inibidores mais novos, inertes, atóxicos e mais eficazes, visando especificamente os da P-gp, como aqueles entre os extratos vegetais, excipientes e formulações farmacêuticas, e outras moléculas racionais de droga. As aplicações do conhecimento de biologia celular e molecular, bancos de dados estruturais in silico, estudos de modelagem molecular e análises da relação quantitativa estrutura-atividade (QSAR) no desenvolvimento de novos inibidores racionais da P-gp também foram mencionados.P-glycoprotein (P-gp), a transmembrane permeability glycoprotein, is a member of ATP binding cassette (ABC) super family that functions specifically as a carrier mediated primary active efflux transporter. It is widely distributed throughout the body and has a diverse range of substrates. Several vital therapeutic agents are substrates to P-gp and their bioavailability is lowered or a resistance is induced because of the protein efflux. Hence P-gp inhibitors were explored for overcoming multidrug resistance and poor bioavailability problems of the therapeutic P-gp substrates. The sensitivity of drug moieties to P-gp and vice versa can be established by various experimental models in silico, in vitro and in vivo. Ever since the discovery of P-gp, the research plethora identified several chemical structures as P-gp inhibitors. The aim of this review was to emphasize on the discovery and development of newer, inert, non-toxic, and more efficient, specifically targeting P-gp inhibitors, like those among the natural herb extracts, pharmaceutical excipients and formulations, and other rational drug moieties. The applications of cellular and molecular biology knowledge, in silico designed structural databases, molecular modeling studies and quantitative structure-activity relationship (QSAR) analyses in the development of novel rational P-gp inhibitors have also been mentioned