A framework for development of model-driven decision support system / Mohd Razilan Abdul Kadir ... [et al.]

With expansion and growth in computing technology, systems for supporting decision-makers in planning can be crucial, either to expedite and enhance the work environment or to gain efficient and effective forecasting results, as to compete with other rivals in business war-gaming. In this article, we will explore the state-of-art in developing a Model- Driven Decision Support System (DSS) namely Forecasting Support Systems (FSS), via time series forecasting model which based on Box- Jenkins approach known as ARIMA, as the analytic model in model base; for managerial and executive level, dominantly who involves inforecasting field. The aim of this paper to discuss on how decision-making process (with respect to forecasting and planning) can have its computerized support by a DSS, also to understand the concepts of FSS component and its development via DSS technology levels, which may support managers in decision making process, emphasizing on concept and approach of Box-Jenkins

Study of genotype, subtype and mutation in the S gene in hepatitis B patients co-infected with HIV in Iran

Background: Co-infection with human immunodeficiency virus (HIV) and hepatitis B virus (HBV) is common due to shared routes of transmission, as reported approximately 10% of 33 million HIV-infected patients worldwide are chronically infected with HBV. Mutations of HBsAg especially within the “a” determinant could alter the antigenicity of the protein, causing failure of HBsAg neutralization and escaping from the host’s immune system. This results in active viral replication and liver disease. Objectives: The aim of the survey was to identify HBV genotype and subtype, and different mutations in HBV S gene in hepatitis B patients co-infected with HIV in Iran. Methods: PCR performance and HBV-DNA extraction from plasma of 124 samples obtained from treatment naive HIV/HBV coinfected participants were according to the protocol. Direct sequencing and alignment of surface gene were carried out using reference sequences from the Gene Bank database. Results: From 124 HIV/HBV ELISA positive samples, 40 were HBV DNA-positive. Themean age of patients was 33.88 years. 20% of them were female and 80% were male. All isolates belonged to the sub genotype D1/ayw2 and genotype D. There were 50 point mutations including 23 (46%) missense and 27 (54%) silent mutations in amino acid level. Twenty three amino acid mutations occurred in different immune epitopes such as 11 (47.82%) in B cell, 6 (26.08%) in T helper and 2 (%8.6) in CTL. The prevalence of mutations in both “a” determinant region and Major Hydrophilic Region (MHR) was 5 (21.73%). Conclusions: Our findings showed that P127T and A70P (Outside of MHR) were the most frequently occurring substitution mutations. P127T, P132T, G130R, and S136Y substitutions placed in the first loop of the “a” determinant and the other substitutions of P142T and D144N occurred in the second loop of “a” determinant. The results of our study showed that most of the mutations occurred in B cell epitopes. The mutation in a surface gene of HBV may be selected by immune pressure or anti-retroviral therapy

Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study

\ua9 The Author(s) 2024.Lithium is the gold standard treatment for bipolar disorder (BD). However, its mechanism of action is incompletely understood, and prediction of treatment outcomes is limited. In our previous multi-omics study of the Pharmacogenomics of Bipolar Disorder (PGBD) sample combining transcriptomic and genomic data, we found that focal adhesion, the extracellular matrix (ECM), and PI3K-Akt signaling networks were associated with response to lithium. In this study, we replicated the results of our previous study using network propagation methods in a genome-wide association study of an independent sample of 2039 patients from the International Consortium on Lithium Genetics (ConLiGen) study. We identified functional enrichment in focal adhesion and PI3K-Akt pathways, but we did not find an association with the ECM pathway. Our results suggest that deficits in the neuronal growth cone and PI3K-Akt signaling, but not in ECM proteins, may influence response to lithium in BD