@article{kaeijoan, author = {kaeijoan}, interhash = {9ed9fb2a82b2cc81d685f031b2ed0fcb}, intrahash = {2098a2d67c6b8c380d164ff1a8980ef2}, title = {Review of JJJee by a new mother}, year = 2017 } @article{noauthororeditor, abstract = {Micro RNAs (miRNAs) are small non-coding RNAs molecules having approximately 18-25 nucleotides, they are present in both plants and animals genomes. MiRNAs have diverse spatial expression patterns and regulate various developmental metabolisms, stress responses and other physiological processes. The dynamic gene expression playing major roles in phenotypic differences in organisms are believed to be controlled by miRNAs. Mutations in regions of regulatory factors, such as miRNA genes or transcription factors (TF) necessitated by dynamic environmental factors or pathogen infections, have tremendous effects on structure and expression of genes. The resultant novel gene products presents potential explanations for constant evolving desirable traits that have long been bred using conventional means, biotechnology or genetic engineering. Rice grain quality, yield, disease tolerance, climate-resilience and palatability properties are not exceptional to miRN Asmutations effects. There are new insights courtesy of high-throughput sequencing and improved proteomic techniques that organisms’ complexity and adaptations are highly contributed by miRNAs containing regulatory networks. This article aims to expound on how rice miRNAs could be driving evolution of traits and highlight the latest miRNA research progress. Moreover, the review accentuates miRNAs grey areas to be addressed and gives recommendations for further studies.}, author = {Kitony, Justine}, interhash = {c23b101de193a8f07e3a267828acb989}, intrahash = {0b61f5c028c2c0ae19986500191f7ece}, journal = {International Journal of Biomolecules and Biomedicine (IJBB)}, month = {11}, number = 3, pages = {1-12}, title = {Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic traits through evolution}, url = {http://www.innspub.net/wp-content/uploads/2016/12/IJBB-V5No3-p1-12.pdf}, volume = 5, year = 2016 } @article{noauthororeditor, abstract = {Diabetes is a chronic autoimmune disease characterized by the inability of body to produce or respond to insulin a hormone required by body to burn glucose for energy. Type I Diabetes mellitus, also known as Insulin Dependent Diabetes mellitus is a most frequent chronic disease of childhood, afflicts 0.2-0.3% of human individuals due to auto immune destruction of insulin secreting pancreatic β cells. GAD65 is the major auto antigen in Insulin Dependent Diabetes Mellitus (IIDM). Thus, this project is aimed at expression of GAD65 in E. coli. GAD65 gene was cloned into pET-28a bacterial expression vector and expression was studied in BL21 DE3 cells. Different parameters of induction like isopropyl-β-D-thiogalactopyranoside (IPTG), temperature, time interval were standardized. The recombinant clones induced with 2 μM of IPTG at 30oC for 4 h at flask level produced the protein upto 537μg/ml. Furthermore, the specificity of the purified recombinant protein was confirmed by western blot analysis using monoclonal antibodies. This work establishes a strategy in E. coli for the expression of GAD65 with optimized parameters.}, author = {Guleria, Neha}, interhash = {a87a39f433cca3dc7f982fb4a7d8edec}, intrahash = {52ddd62aa32103f8ce2f69969682a184}, journal = {International Journal of Biomolecules and Biomedicine (IJBB)}, month = {8}, number = 2, pages = {1-8}, title = {Cloning and expression of Human glutamic acid decarboxylase (GAD 65) gene in Escherichia coli}, url = {http://www.innspub.net/wp-content/uploads/2016/09/IJBB-V5No2-p1-8.pdf}, volume = 5, year = 2016 } @article{noauthororeditor, abstract = {Nowadays, There are many risks related to bank loans, for the bank and for those who get the loans. The analysis of risk in bank loans need understanding what is the meaning of risk. In addition, the number of transactions in banking sector is rapidly growing and huge data volumes are available which represent the customers behavior and the risks around loan are increased. Data Mining is one of the most motivating and vital area of research with the aim of extracting information from tremendous amount of accumulated data sets. In this paper a new model for classifying loan risk in banking sector by using data mining. The model has been built using data form banking sector to predict the status of loans. Three algorithms have been used to build the proposed model: j48, bayesNet and naiveBayes. By using Weka application, the model has been implemented and tested. The results has been discussed and a full comparison between algorithms was conducted. J48 was selected as best algorithm based on accuracy}, author = {Hamid, Aboobyda Jafar and Ahmed, Tarig Mohammed}, interhash = {2682bb42353420f91023253ec5958747}, intrahash = {30f05c115625bf7d5024660795039c25}, journal = {Machine Learning and Applications: An International Journal (MLAIJ)}, month = {March}, number = 1, pages = 9, title = {Developing Prediction Model of Loan Risk in Banks Using Data Mining}, url = {http://aircconline.com/mlaij/V3N1/3116mlaij01.pdf}, volume = 3, year = 2016 } @article{noauthororeditor, abstract = {Earlier software systems used to be very small in size and were developed and maintained by only few IT experts, but era changed and the requirements of user’s started increasing day by day. Due to heterogeneous and dynamic behaviour of current software systems their structure is becoming complex which leads to rapid rise in their cost and complexity, now more IT professionals are required to develop, design and maintain them. If the complexity keeps on increasing in this manner then one day software systems would be unmanageable, very costly, low maintainable, and least reliable. Like biological systems software systems must be designed which will be once developed and deployed to users then these systems will be able adapt and change accordingly according to user’s requirements. Can these software systems be developed? The answer to this is yes, autonomic computing based software systems can do the job, many of these systems have already been developed and future waits for software systems to be entirely autonomous. This paper tends to explain autonomic computing, its characteristics and their relation with ISO 9126 quality factors.}, author = {Singh, Taranjeet and Kumar, Avadhesh}, interhash = {f5736b6b639884c4d2a7691b73b7dbc6}, intrahash = {ca255790b0f14df26bbead89617c48de}, journal = {International Journal of Computer Science & Information Technology (IJCSIT)}, month = {April}, number = 2, pages = {121 - 128}, title = {Survey on Characteristics of Autonomous System}, url = {http://aircconline.com/ijcsit/V8N2/8216ijcsit10.pdf}, volume = 8, year = 2016 }