A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards.

In modern production environments, advanced and intelligent process monitoring strategies are required to enable an unambiguous diagnosis of the process situation and thus of the final component quality. In addition, the ability to recognize the current state of product quality in real-time is an important prerequisite for autonomous and self-improving manufacturing systems. To address these needs, this study investigates a novel ensemble deep learning architecture based on convolutional neural networks (CNN), gated recurrent units (GRU) combined with high-performance classification algorithms such as k-nearest neighbors (kNN) and support vector machines (SVM).

Communication in high risk ante-natal consultations: a direct observational study of interactions between patients and obstetricians.

Background: Effective communication is crucial to any doctor-patient consultation, not least in pregnancy where the outcome affects more than one person. While higher levels of patient participation and shared decision making are recognised as desirable, there is little agreement on how best to achieve this. Most previous research in this area is based on reported data such as interviews or surveys and there is a need for more fine-grained analysis of authentic interaction.

Cardiac disease in pregnancy and the multidisciplinary team: the Wellington experience.

Aim: To define the range and severity of cardiac disease in pregnant women in New Zealand, as well as the maternal and neonatal morbidity and mortality compared with the background obstetric population.

Methods: We retrospectively audited pregnant women with cardiac comorbidity seen by a multidisciplinary team at a tertiary referral centre consisting of midwives, cardiologists, obstetricians and anaesthetists in 2016-2017.

Results: Seventy-two women were referred to the multidisciplinary team.

Severe maternal morbidity due to sepsis: The burden and preventability of disease in New Zealand.

Background: Sepsis is a life-threatening systemic condition that appears to be increasing in the obstetric population. Clinical detection can be difficult and may result in increased morbidity via delays in the continuum of patient care.

Aims: To describe the burden of severe maternal morbidity (SMM) caused by sepsis in New Zealand and investigate the potential preventability.

Maternal supplementation alone with Lactobacillus rhamnosus HN001 during pregnancy and breastfeeding does not reduce infant eczema.

Background: In a randomized placebo-controlled trial, we previously found that the probiotic Lactobacillus rhamnosus HN001 (HN001) taken by mothers from 35 weeks of gestation until 6 months post-partum if breastfeeding and their child from birth to age 2 years halved the risk of eczema during the first 2 years of life. We aimed to test whether maternal supplementation alone is sufficient to reduce eczema and compare this to our previous study when both the mother and their child were supplemented.

Methods: In this 2-centre, parallel double-blind, randomized placebo-controlled trial, the same probiotic as in our previous study (HN001, 6 × 10 colony-forming units) was taken daily by mothers from 14-16 weeks of gestation till 6 months post-partum if breastfeeding, but was not given directly to the child.