An effective trap for spotted lanternfly egg masses.

Spotted lanternfly (SLF) (Lycorma delicatula (White)), an invasive planthopper discovered in Pennsylvania, USA in 2014, continues to spread and is now present in 14 states with substantial infestations present in seven states. Population projections using adult SLF trapping or visual counts are not reliable due to the transient, migratory behavior of the adults which make population forecasts difficult. Another approach to population monitoring is utilization of the stationary egg mass stage, but counting small cryptic egg masses throughout the canopy of large trees in dense woodlots is arduous and prone to error. After several field seasons testing various trapping configurations and materials, we have identified an efficient, simple, low-cost trap termed a 'lamp shade trap' that is attached to the lower trunk area of an SLF host tree. SLF females readily enter the trap and lay eggs on the thin, flexible trap surface. A vertical trap orientation was superior, and the most productive woodlots yielded an average of 47 and 54 egg masses per trap, and several traps had over 100 egg masses. There were 1,943 egg masses tallied from 105 traps placed at six locations in two states. Egg mass counts in the area above and below the traps and on nearby control trees yielded very few egg masses in comparison. Selection of trees 15 to 20 cm in diameter for trap placement is most efficient, yielding good egg mass abundance while minimizing the amount of trap material used. The lamp shade trap has potential as an effective tool to identify SLF in new areas, gauge SLF population levels in woodlots and can also be used to collect and monitor egg masses for research purposes.

Development and psychometric testing of the gender misconceptions of men in nursing (GEMINI) scale among nursing students.

BACKGROUND: Misconceptions about men in nursing may influence recruitment and retention, further perpetuating the gender diversity imbalance in the nursing workforce. Identifying misconceptions and implementing early intervention strategies to address these deep-rooted stereotypes remain challenging but is considered critical to support students who are commencing a nursing career. OBJECTIVE: To develop and evaluate the psychometric properties of the 'Gender Misconceptions of meN in nursIng (GEMINI) Scale. DESIGN: Cross-sectional survey. METHODS: Pre-registration nursing students enrolled in undergraduate nursing programmes across 16 nursing institutions in Australia were surveyed from July to September 2021. The 17-item self-report GEMINI Scale measured the gender misconceptions of men in nursing. RESULTS: Of the 1410 completed surveys, data from 683 (45%) women were used for exploratory factor analysis showing a one factor structure, while data from 727 men (47%) were used for confirmatory factor analysis of the 17-item GEMINI Scale, which showed a good model fit. The scale demonstrated high internal consistency (Cronbach's alpha of 0.892). Men were found to have higher gender misconceptions (p < 0.001) while respondents who: (a) identified nursing as their first career choice (p = 0.002); (b) were in their final year of programme enrolment (p = 0.016); and (c) engaged in health-related paid work (p = 0.002) had lower gender misconceptions. CONCLUSION: The GEMINI Scale is a robust, valid, reliable, and easy to administer tool to assess misconceptions about men in nursing, which may potentially influence academic performance and retention. Identifying and addressing specific elements of misconceptions could inform targeted strategies to support retention and decrease attrition among these students. IMPACT STATEMENT: Genderism harms nursing, as well as the men and women working in the profession. Recruitment and retention of men into nursing is needed to cultivate male role models and diversify the workforce, however this is impeded by negative portrayals in popular culture and misconceptions entrenched in society.

Assessment of calf muscle fatigue during submaximal exercise using transcranial magnetic stimulation versus transcutaneous motor nerve stimulation.

PURPOSE: Few studies have assessed the time-dependent response of fatigue (i.e., loss of force) during submaximal exercise without the use of maximum contractions. There is unexplored potential in the use of the superimposed muscle twitch (SIT), evoked by transcranial magnetic stimulation (TMS) or motor nerve stimulation (MNS), to assess fatigue during voluntary submaximal contractions. For the human triceps surae muscles, there are also no data on TMS-evoked twitches. METHODS: To optimise the TMS stimulus for assessment of fatigue, we first tested the effects of TMS power (40, 55, 70, 85, 100% max) on SIT force during contractions (0-100% MVC in 10% increments) in six subjects. Then, we compared SIT responses (TMS and MNS) during submaximal contractions and MVCs (all at 60 s intervals) during a continuous protocol of intermittent contractions (30% MVC) consisting of consecutive 5 min periods of baseline, fatigue (ischaemia) and recovery. RESULTS: For TMS, SIT force increased as a diminishing function of TMS power (P < 0.05), the relationships between SIT force and the force of voluntary contraction at all TMS powers were parabolic, and SIT force was maximised at ~20-40% MVC. During intermittent contractions, MVC and SIT forces were stable during baseline, decreased similarly during ischaemia by 40-50% (P < 0.05), and recovered similarly to baseline values (P > 0.05) before the end of the protocol. CONCLUSION: TMS can be used to evoke twitches during submaximal contractions of the human calf muscle and, along with MNS, used to assess fatigue during submaximal exercise.