Development of a gender-specific European job exposure matrix (EuroJEM) for physical workload and its validation against musculoskeletal pain.

Objectives: The aim was to develop a gender-specific European job exposure matrix (EuroJEM) for occupational physical workload and study its predictive validity for musculoskeletal pain in four European cohorts.

Methods: National, gender-specific JEM from Finland, France, Norway and Sweden, based on self-reported exposure information, were evaluated for similarities in exposures, exposure definitions, and occupational coding. The EuroJEM harmonized five exposures: heavy lifting, faster breathing due to heavy workload, kneeling/squatting, forward bent posture, and working with hands above shoulder level.

Expression of FcμR by bovine mononuclear blood leukocytes.

The receptor for IgM has been identified a few years ago, but its expression by bovine mononuclear cells has not yet been studied. We used rabbit antibodies against bovine FcμR to begin to fill this gap. Anti-FcμR antibodies bound to B lymphocytes and monocytes, although less than to neutrophils.

In situ oil contamination in young mangroves: Biodegradation of petroleum hydrocarbons and effects on the microbial and benthic communities, an experimental study in French Guiana.

An in-situ experiment was conducted in a young mangrove with no history of oil contamination (French Guiana). Control and oil-contaminated sediments were sampled one month after exposure and analyzed to a depth of 18 cm to assess natural oil depletion and changes in benthic communities. High biodegradation percentages (89-99 %) of n-alkanes and polycyclic aromatic hydrocarbons were measured.

Neoadjuvant Radiotherapy and Endocrine Therapy for Oestrogen Receptor Positive Breast Cancers: The Neo-RT Feasibility Study.

Aims: To establish the safety and feasibility of delivering neoadjuvant radiotherapy and endocrine therapy for oestrogen receptor-positive breast cancers with palpable size 20mm or greater, for which radiotherapy might facilitate more conservative surgery.

Materials And Methods: A single-arm feasibility study was conducted. Patients received whole breast radiotherapy with or without radiotherapy to nodal areas.

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.

Background Deep learning (DL) algorithms have shown promising results in mammographic screening either compared to a single reader or, when deployed in conjunction with a human reader, compared with double reading. Purpose To externally validate the performance of three DL algorithms as mammographic screen readers in an independent UK data set. Materials and Methods Three commercial DL algorithms (DL-1, DL-2, and DL-3) were retrospectively investigated from January 2022 to June 2022 using consecutive full-field digital mammograms collected at two UK sites during 1 year (2017).