Multiplex sample-sparing assay for detecting type-specific antibodies to Zika and dengue viruses: an assay development and validation study.

Background: Serology for dengue viruses (DENV) and Zika virus (ZIKV) has been hindered by antibody cross-reactivity, which limits the utility of these tests for surveillance and assessment of sero-status. Our aim was to develop a multiplexed IgG-based assay with increased accuracy to assess the history of previous DENV and ZIKV infections.

Methods: We developed and assessed the analytical performance of a sample-sparing, multiplexed, microsphere-based serological assay using domain III of the envelope protein (EDIII) of DENV serotypes 1-4 and ZIKV, the most variable region between each virus.

The Long-Term Prognostic Outcomes of Emergent Colon Cancer Surgery: A Single-Center Experience.

Aim: Colorectal cancer (CRC) ranks as the second most diagnosed and third most deadly cancer worldwide. Despite advances in early diagnosis and treatment, CRC remains a leading cause of cancer-related deaths. Up to 30% of CRC patients are diagnosed during emergency department visits, leading to surgical procedures that may not adhere to oncological principles due to complications like obstruction, bleeding, or perforation.

Network Analysis of miRNA and Cytokine Landscape in Human Hematopoiesis.

The differentiation/maturation trajectories of different blood cell types stemming from a CD34 common ancestor takes place in different biologically relevant multidimensional spaces. Here, we generated microRNA and cytokine profiles from highly purified populations of hematopoietic progenitors/precursors derived from cord blood hematopoietic stem/progenitor cells. MicroRNA and cytokine landscapes were then analyzed to find their mutual relationships under the hypothesis that the highly variable miRNome corresponds to the 'force field' driving the goal of a stable phenotype (here corresponding to the cytokine abundance pattern) typical of each cell kind.

Electronic structure simulations in the cloud computing environment.

The transformative impact of modern computational paradigms and technologies, such as high-performance computing (HPC), quantum computing, and cloud computing, has opened up profound new opportunities for scientific simulations. Scalable computational chemistry is one beneficiary of this technological progress. The main focus of this paper is on the performance of various quantum chemical formulations, ranging from low-order methods to high-accuracy approaches, implemented in different computational chemistry packages and libraries, such as NWChem, NWChemEx, Scalable Predictive Methods for Excitations and Correlated Phenomena, ExaChem, and Fermi-Löwdin orbital self-interaction correction on Azure Quantum Elements, Microsoft's cloud services platform for scientific discovery.