Musculoskeletal Disorders Among Surgeons and Attitudes Towards Wearable Devices for Ergonomic Optimization.

Objective: To assess the burden of ergonomic strain and to examine factors influencing intention to use wearable technology that may improve ergonomics during surgery.

Background: Surgical ergonomic strain leads to high rates of work-related musculoskeletal disorders (MSDs) and pain, contributing to early surgeon retirement and an epidemic of burnout.

Methods: A cross-sectional survey of surgeons at a single institution was conducted using two validated instruments, the Nordic Musculoskeletal Questionnaire and Unified Theory of Acceptance and Use of Technology (UTAUT2), assessing musculoskeletal strain and facilitators of wearable sensor use, respectively.

Inactivation of Escherichia coli O157:H7 in Dairy Manure Compost with Alkaline Walnut Hull Biochar.

Biochar has been used to accelerate heating profiles during composting by increasing oxygenation, which could also reduce microbial pathogens. However, the antimicrobial inactivation of foodborne pathogens in compost, by amending with biochar without increased heating profiles, has not been evaluated. In this study, we examined the ability of biochar to inactivate E.

Thermal treatment and densification of manure and biomass blends to produce stabilized soil amendments.

Land application of dairy manure is the most common practice for disposal of this waste. Agricultural fields surrounding concentrated animal feeding operations (CAFOs) often have high levels of N and P because of manure over-application. However, its low bulk density limits the amount of manure that can be profitably transported for use as fuel or fertilizer.

Generalized representative structures for atomistic systems.

A new method is presented to generate atomic structures that reproduce the essential characteristics of arbitrary material systems, phases, or ensembles. Previous methods allow one to reproduce the essential characteristics (e.g.

Autonomous Dissociation-type Selection for Glycoproteomics Using a Real-Time Library Search.

Tandem mass spectrometry (MS/MS) is the gold standard for intact glycopeptide identification, enabling peptide sequence elucidation and site-specific localization of glycan compositions. Beam-type collisional activation is generally sufficient for glycopeptides, while electron-driven dissociation is crucial for site localization in glycopeptides. Modern glycoproteomic methods often employ multiple dissociation techniques within a single LC-MS/MS analysis, but this approach frequently sacrifices sensitivity when analyzing multiple glycopeptide classes simultaneously.