We conducted a systematic review of the medical, nursing, forensic, and social science literature describing events and processes associated with what happens after a traumatic death in the socio-cultural context of largely Western and high-income societies. These include death notification, why survivors choose to view or not view the body, forensic practices affecting viewing the body, alternatives to viewing, and social and cultural practices following the death. We also describe how elements of these processes may act to increase or lessen some of the negative cognitive and emotional consequences for both survivors and providers. The information presented is applicable to those who may be faced with traumatic deaths, including those who work in medicine, nursing, and law enforcement, as well as first responders, forensic investigators, funeral directors, and the families of the deceased.

Private practice is the fastest growing employment sector for dietitians in Australia, including for new graduates(1). There is an anecdotal concern that current graduate cohorts are not adequately prepared for private practice. The present study aims to assess the existing literature relevant to workforce development specific to private practice dietetics, including areas such as workforce size, distribution, competency, practices and global challenges. The secondary aim is to identify gaps in the literature to inform future priority areas and to inform private practice dietetics workforce development research. Five databases were systematically searched from inception to August 2023 and grey-literature was searched using the Google search engine using key search terms to identify studies for inclusion. Of the 2361 peer-reviewed publications and 1800 grey literature, eighty were included. Directed content analysis and qualitative constant comparison technique were used to deductively extract data from eligible private practice literature. Intelligence sources covering the following themes proved to be limited: workforce size, distribution, attributes, demography, supply/preparation, competencies, continued professional development and challenges. However, clear structural issues present workforce challenges for private practice dietitians. There is an overwhelming paucity of comprehensive literature on the private practice dietetics workforce across the world. Private practice dietetics workforce development research is warranted to address current research gaps in a coordinated, collaborative approach to ensure this rapidly expanding workforce is well supported.

The estimated global preterm birth rate in 20201 was more than 10% of livebirths or 13.4 million infants. Nutrition in the neonatal period is a key factor to optimise growth, neurodevelopment, and later metabolic disease risk2. There is no consensus on optimal nutrition for preterm infants, leading to substantial practice variation3. We aimed to assess the quality of nutritional guidelines for preterm infants, the consistency of recommendations, and the gaps in these recommendations. This review is reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 checklist. The study protocol was registered with PROSPERO (CRD42022327248). We searched six databases and 44 websites for nutritional guidelines for preterm infants before first hospital discharge, which were endorsed, prepared, or authorised by a regional, national, or international body, written in English, and published between 2012-2023. Two reviewers independently screened articles and extracted relevant data including nutritional recommendations (ranges or descriptions), the quality of recommendations (certainty of evidence and strength of recommendation), and gaps in recommendations, defined as those identified by the guidelines or when recommendations were based on very low certainty evidence. Disagreements were resolved by discussion or a third reviewer. Four reviewers appraised the included guidelines using AGREE II. We identified 7051 records, 27 guidelines were included in the review, 26% of which were of high quality. Most guidelines lacked stakeholder involvement and rigour of development. Twelve guidelines had recommendations for macronutrient intake, 18 for micronutrient intake, 12 for feeding, eight for fortification, and 14 for monitoring of nutritional adequacy. Only two guidelines provided recommendations for all five of these aspects. We found considerable variation in recommendations, many of which lacked details of certainty of evidence and strength of recommendation. Recommendations for feeding types and breastmilk fortification were consistent among high quality guidelines, but recommendations varied for intakes of almost all nutrients and monitoring of nutritional adequacy. Different guidelines gave different certainty of evidence for the same recommendations. Most gaps in recommendations were due to a very low certainty of evidence. Future development of nutritional guidelines for preterm infants should follow the standard guideline development method and ensure rigorous process including stakeholders’ involvement to improve the reporting of strength of recommendation, certainty of evidence, and gaps in recommendation. Evidence is needed to support recommendations about macro and micronutrient intakes, breastmilk fortification, and markers on adequacy of intake of different nutrients.

The teenage years represent a crucial period of physical and cognitive growth and development with sufficient micronutrient intakes necessary to meet high nutritional requirements. This review examines current micronutrient intakes in teenagers in the Western world in the context of public health implications including the prevalence of inadequate intakes and risk of excessive intakes. Intakes of vitamins A, D, E and C, folate, calcium, iron, magnesium, zinc and potassium in teenagers are low when compared to generally accepted recommendations, while there is little risk of excessive micronutrient intakes based on current dietary patterns. Therefore, strategies should focus on increasing micronutrient intakes in order to decrease the risk of negative impacts resulting from these low intakes. These strategies should be mindful of guidance towards an environmentally sustainable diet whilst ensuring that nutrient intakes in teenagers are not further negatively impacted. In order to identify, implement and monitor the effectiveness of such strategies, intakes of micronutrients should be continually monitored in nationally representative samples of the population for all age groups including this vulnerable cohort of teenagers.

Milk production declines as dairy cows enter late lactation, resulting in reduced milk quality and negatively impacting milk processability, such as rennet coagulation time (RCT), milk pH and ethanol stability (ES), leading to seasonality issues for milk processors. Multispecies forages, containing grass, legume and herb species, require lower N inputs and are of interest to dairy farmers. However, little is known about the effect of grazing multispecies forages on milk processability characteristics in late lactation dairy cows. Forty-five autumn-calving dairy cows in late lactation were allocated to 1 of 3 grazing forages; perennial ryegrass (PRG; Lolium perenne), perennial ryegrass and white clover (Trifolium pratense) (PRGWC), and a 6 – species multispecies forage (MULTI) containing perennial ryegrass, timothy (Phleum pratense), white clover, red clover (Trifolium repens), chicory (Cichorium intybus) and plantain (Plantago lanceolata). Cows were allocated 12 kg DM grazed forage and supplemented with a grass – silage TMR and concentrate. Forage DMI was significantly lower for cows grazing PRG. Milk yield increased when cows grazed PRGWC (18.07 kg/d) and MULTI (17.84 kg/d) compared to PRG (16.08 kg/d). Milk RCT (mins) and ES (%) were unaffected by treatment. However, offering cows PRGWC and MULTI increased the concentration of C18:2 cis – 9, 12 and C18:3 cis – 9, 12, 15 in milk compared to PRG. Compared to PRG, grazing forages containing clover and herb species improved milk yield and beneficially altered milk fatty acid profile in late lactation dairy cows without negatively impacting milk processability.

State Medical Boards (SMBs) can take severe disciplinary actions (e.g., license revocation or suspension) against physicians who commit egregious wrongdoing in order to protect the public. However, there is noteworthy variability in the extent to which SMBs impose severe disciplinary action. In this manuscript, we present and synthesize a subset of 11 recommendations based on findings from our team’s larger consensus-building project that identified a list of 56 policies and legal provisions SMBs can use to better protect patients from egregious wrongdoing by physicians.

This study investigated sex differences in Fe status, and associations between Fe status and endurance and musculoskeletal outcomes, in military training. In total, 2277 British Army trainees (581 women) participated. Fe markers and endurance performance (2·4 km run) were measured at the start (week 1) and end (week 13) of training. Whole-body areal body mineral density (aBMD) and markers of bone metabolism were measured at week 1. Injuries during training were recorded. Training decreased Hb in men and women (mean change (–0·1 (95 % CI –0·2, –0·0) and –0·7 (95 % CI –0·9, –0·6) g/dl, both P < 0·001) but more so in women (P < 0·001). Ferritin decreased in men and women (–27 (95 % CI –28, –23) and –5 (95 % CI –8, –1) µg/l, both P ≤ 0·001) but more so in men (P < 0·001). Soluble transferrin receptor increased in men and women (2·9 (95 % CI 2·3, 3·6) and 3·8 (95 % CI 2·7, 4·9) nmol/l, both P < 0·001), with no difference between sexes (P = 0·872). Erythrocyte distribution width increased in men (0·3 (95 % CI 0·2, 0·4)%, P < 0·001) but not in women (0·1 (95 % CI –0·1, 0·2)%, P = 0·956). Mean corpuscular volume decreased in men (–1·5 (95 % CI –1·8, –1·1) fL, P < 0·001) but not in women (0·4 (95 % CI –0·4, 1·3) fL, P = 0·087). Lower ferritin was associated with slower 2·4 km run time (P = 0·018), sustaining a lower limb overuse injury (P = 0·048), lower aBMD (P = 0·021) and higher beta C-telopeptide cross-links of type 1 collagen and procollagen type 1 N-terminal propeptide (both P < 0·001) controlling for sex. Improving Fe stores before training may protect Hb in women and improve endurance and protect against injury.

This mixed-methods complementarity study explored family members’, friends’, and health care providers’ perspectives of acceptability of group leisure activities as an intervention for loneliness experienced by older adults living with dementia. A sample of 25 family members, friends, and health care providers of people living with dementia in ON rated the acceptability of group leisure activities (adapted Treatment Perception and Preference questionnaire) and discussed their ratings in an interview. Quantitative (descriptive statistics) and qualitative (conventional content analysis) results were integrated to understand acceptability. Participants viewed group leisure activities as effective, logical, and suitable for use with people living with dementia. Participants described the need for flexible programs, careful facilitation, and attention to activity selection. Group leisure activities were seen as low risk, but stigmas related to dementia could prevent participation. The findings inform the design of acceptable group leisure activities, promoting their use to address loneliness in people living with dementia.

Laser-plasma instabilities (LPI) play a detrimental role in energy coupling to the target in inertial confinement fusion (ICF). The recent development of applied strong magnetic fields for use in ICF and laboratory astrophysics experiments has opened opportunities to investigate the role of external magnetic fields on LPIs. Recent numerical studies have shown that stimulated Raman scattering (SRS) can be mitigated by external magnetic fields in the kinetic regime of the instability and warrant systematic experimental studies to validate modelling. To this end, we design experiments at the OMEGA-EP laser facility to investigate the effect of an external perpendicular $B$-field of 5–30 T on the backscattered light spectrum from a gas-jet target. We present measurements from a proof-of-principle experiment, where the backward-SRS (BSRS) is in the kinetic regime, for which the magnetization is expected to produce the greatest effects on instability growth. New simulations motivated by this experiment are used to inform the proposal of an upgraded experimental design. Our simulation predictions show that the new design is suited to experimentally demonstrating BSRS mitigation by an external magnetic field, despite the magnetization effects on the hydrodynamics, as well as the inherent temporal and spatial variations in plasma conditions.

The past 50 yr of advances in weed recognition technologies have poised site-specific weed control (SSWC) on the cusp of requisite performance for large-scale production systems. The technology offers improved management of diverse weed morphology over highly variable background environments. SSWC enables the use of nonselective weed control options, such as lasers and electrical weeding, as feasible in-crop selective alternatives to herbicides by targeting individual weeds. This review looks at the progress made over this half-century of research and its implications for future weed recognition and control efforts; summarizing advances in computer vision techniques and the most recent deep convolutional neural network (CNN) approaches to weed recognition. The first use of CNNs for plant identification in 2015 began an era of rapid improvement in algorithm performance on larger and more diverse datasets. These performance gains and subsequent research have shown that the variability of large-scale cropping systems is best managed by deep learning for in-crop weed recognition. The benefits of deep learning and improved accessibility to open-source software and hardware tools has been evident in the adoption of these tools by weed researchers and the increased popularity of CNN-based weed recognition research. The field of machine learning holds substantial promise for weed control, especially the implementation of truly integrated weed management strategies. Whereas previous approaches sought to reduce environmental variability or manage it with advanced algorithms, research in deep learning architectures suggests that large-scale, multi-modal approaches are the future for weed recognition.