Surgery for Locally Advanced Pancreatic Cancer Following Induction Chemotherapy: A Single-Center Experience.

Background: The use of surgery in patients with locally advanced pancreatic cancer (LAPC) following induction chemotherapy is increasing. However, most series do not report on the total cohort of patients undergoing surgical exploration; therefore, this single-center study investigates outcomes among all consecutive patients with LAPC who underwent surgical exploration.

Methods: We conducted a retrospective, single-center analysis including all consecutive patients with LAPC (Dutch Pancreatic Cancer Group criteria) who underwent surgical exploration with curative intent (January 2014-June 2023) after induction therapy.

Complete Genome Sequences of Phages Clayda5 and Gshelby23 and Phages Wrigley and Santhid.

Bacteriophages Clayda5, Gshelby23, Wrigley, and Santhid were isolated from soil samples collected in Iowa, with genomes typical of actinobacteriophages from clusters EB, EM, CY, and DY, respectively. Wrigley and Santhid were isolated on Gordonia terrae and are likely to be temperate. Clayda5 and Gshelby23 were isolated on Microbacterium foliorum.

On Max-Semistable Laws and Extremes for Dynamical Systems.

Suppose (f,X,μ) is a measure preserving dynamical system and ϕ:X→R a measurable observable. Let Xi=ϕ∘fi-1 denote the time series of observations on the system, and consider the maxima process Mn:=max{X1,…,Xn}. Under linear scaling of Mn, its asymptotic statistics are usually captured by a three-parameter generalised extreme value distribution.

Demographic and clinical features as predictors of clozapine response in patients with schizophrenia spectrum disorders: A systematic review and meta-analysis.

Objectives: Clozapine (CLZ) is prescribed to (relatively) treatment-resistant patients with schizophrenia spectrum disorders. Currently, it is unknown what factors predict response to CLZ. Therefore, we performed meta-analyses to identify predictors of CLZ response, hence aiming to facilitate timely and efficient prescribing of CLZ.

Climate change impact on infection risks during bathing downstream of sewage emissions from CSOs or WWTPs.

Climate change is expected to influence infection risks while bathing downstream of sewage emissions from combined sewage overflows (CSOs) or waste water treatment plants (WWTPs) due to changes in pathogen influx, rising temperatures and changing flow rates of the receiving waters. In this study, climate change impacts on the surface water concentrations of Campylobacter, Cryptosporidium and norovirus originating from sewage were modelled. Quantitative microbial risk assessment (QMRA) was used to assess changes in risks of infection.