Search

Vocalisation rates were measured from North Atlantic right whales (Eubalaena glacialis) in spring 1999-2000 in the Great South Channel and off Cape Cod, USA, and in summer 1999-2000 in the Bay of Fundy, Canada. Vocalisations were classed as either ‘moans’, ‘low-frequency (LF) calls’ or ‘gunshots’. Towed hydrophone recordings (36.1 hours) were made in 21 encounters where loose aggregations of right whales were within about 1,000m. Recordings were also made using acoustic tags attached by suction cups to ten different whales (29.5 hours). Tags also recorded depth data. Moan rates (sounds per aggregation per hour) were correlated with size of whale aggregation. Individual whales produced moans at ~ 0-10 per hour (recorded from tags and the towed hydrophone). Small aggregations (2-10) gave higher moan rates (usually < ~ 60 per hr) and larger aggregations ( > 10) higher still ( ~ 70-700 per hr) (recorded from towed hydrophone). Results from the Bay of Fundy indicate high moan rates at night. Moans were usually produced in clusters. Tag data showed that moans were usually produced when whales were within about 10m of the surface. A passive acoustic system could potentially provide supplementary information on the distribution of aggregations of right whales. This could be useful for management (1) in the long term, by aiding the prediction of right whale distribution, or (2) as a real-time tool for helping to route shipping away from concentrations of right whales. The empirical evidence presented here on vocalisation rates will assist in assessing feasibility. The clustering of moans and the tendency to produce them near the surface could hamper detection and localisation efforts. Further research is underway to investigate other important practical issues such as detectability and source levels.

Boat-based acoustic and visual surveys for harbour porpoises (Phocoena phocoena) were conducted during the summers of 2001 and 2002 in order to investigate their distribution and relative abundance in the Baltic Sea, and to compare the results with the adjacent Kiel and Mecklenburg Bights and the Little Belt. Harbour porpoises are subject to year-round bycatch in gillnets and other fishing gear in these waters. This is of particular concern in the Baltic Sea where a survey carried out in 1995 indicated that the population is low and current levels of anthropogenic mortality are believed to be unsustainable. Polish coastal waters were not included in the 1995 survey and it has been hypothesised that these unsurveyed waters may contain a significant uncounted part of the Baltic Sea population. Results show that the porpoise detection rate was two orders of magnitude lower in the Baltic Sea than in other waters surveyed. No evidence was found that Polish waters contain a significant, previously uncounted part of the Baltic Sea population. The results confirm the endangered status of the Baltic Sea population, and stress the urgency of preventing future anthropogenic mortalities that threaten the survival of the population.

At La Venta, Mexico, the Middle Formative Olmec regional center, the existence of individual leaders is interpreted from the evidence of monumental stone portraiture and several tombs believed to house the bodies of a sequence of kings late in La Venta's history. The status of these latter features as graves, however, has been debated since soon after they were excavated in the 1940s, especially because they generally lacked osteological material. What remained was arrangements of costume items as if adorning a body, usually associated with a stone container. Most archaeologists have advanced the reasonable explanation that bones and teeth would not have survived in tropical environments and accepted both the tomb attribution and their function as individual funerary monuments. A detailed review of available information from the La Venta excavations reveals these assumptions are not warranted. Field data indicate the absence of expected taphonomic evidence of bodily decay. Analysis of the stratigraphy of Mound A-2, aided, by computer-enhanced imaging of field drawings, demonstrates its tomb-like features were erected in a single, short construction phase, not over a span of decades as individual kings died. These conclusions call for alternative explanations of these “surrogate burials,” absent bodies materially evoked by ritual officiants.

Contains fulltext : 282743.pdf (Publisher’s version ) (Open Access) We examined PrEP use, condomless anal sex (CAS), and PrEP adherence among men who have sex with men (MSM) attending sexual health clinics in Wales, UK. In addition, we explored the association between the introduction of measures to control transmission of SARS-CoV-2 on these outcomes. We conducted an ecological momentary assessment study of individuals in receipt of PrEP in Wales. Participants used an electronic medication cap to record PrEP use and completed weekly sexual behaviour surveys. We defined adherence to daily PrEP as the percentage of CAS episodes covered by daily PrEP (preceded by ≥ 3 days of PrEP and followed by ≥ 2 days). Sixty participants were recruited between September 2019 and January 2020. PrEP use data prior to the introduction of control measures were available over 5785 person-days (88%) and following their introduction 7537 person-days (80%). Data on CAS episodes were available for 5559 (85%) and 7354 (78%) person-days prior to and following control measures respectively. Prior to the introduction of control measures, PrEP was taken on 3791/5785 (66%) days, there were CAS episodes on 506/5559 (9%) days, and 207/406 (51%) of CAS episodes were covered by an adequate amount of daily PrEP. The introduction of pandemic-related control measures was associated with a reduction in PrEP use (OR 0.44, 95%CI 0.20-0.95), CAS (OR 0.35, 95%CI 0.17-0.69), and PrEP adherence (RR = 0.55, 95%CI 0.34-0.89) and this may have implications for the health and wellbeing of PrEP users and, in addition to disruption across sexual health services, may contribute to wider threats across the HIV prevention cascade.

Funding: This study was funded by Moray Offshore Wind Farm (East) Ltd. Mitigation measures to disperse marine mammals prior to pile-driving include acoustic deterrent devices and piling soft starts, but their efficacy remains uncertain. We developed a self-contained portable hydrophone cluster to detect small cetacean movements from the distributions of bearings to detections. Using an array of clusters within 10 km of foundation pile installations, we tested the hypothesis that harbour porpoises (Phocoena phocoena) respond to mitigation measures at offshore windfarm sites by moving away. During baseline periods, porpoise movements were evenly distributed in all directions. By contrast, animals showed significant directional movement away from sound sources during acoustic deterrent device use and piling soft starts. We demonstrate that porpoises respond to measures aimed to mitigate the most severe impacts of construction at offshore windfarms by swimming directly away from these sound sources. Portable directional hydrophone clusters now provide opportunities to characterize responses to disturbance sources across a broad suite of habitats and contexts. Publisher PDF

During the COVID-19 pandemic, changes in vessel activity and associated noise have been reported globally. Sarasota Bay is home to a large and increasing number of recreational vessels as well as a long-term resident community of bottlenose dolphins, Tursiops truncatus. Data were analyzed from two hydrophones to compare the soundscape during the COVID-19 pandemic to previous years (March–May 2020 and 2018/2019). Hourly metrics were calculated: vessel passes, 95th percentile sound levels [125 Hz and 16 kHz third octave bands (TOBs), and two broader bands: 88–1122 Hz and 1781–17 959 Hz], and dolphin whistle detection to understand changes in vessel activity and the effect on wildlife. Vessel activity increased during COVID-19 restrictions by almost 80% at one site and remained the same at the other site. Of the four sound level measures, only the 125 Hz TOB and 88–1122 Hz band increased with vessel activity at both sites, suggesting that these may be appropriate measures of noise from rapid pass-bys of small vessels in very shallow (

To determine the impact of breast shields on breast dose and image quality when combined with a low-dose computed tomography pulmonary angiography (CTPA) protocol for pregnancy.A low-dose CTPA protocol, with and without breast shields, was evaluated by anthropomorphic phantom and 20 prospectively recruited pregnant participants from January to October 2019. Thermoluminescent dosimeters measured surface and absorbed breast dose in the phantom and surface breast dose in participants. The Monte-Carlo method estimated the absorbed breast dose in participants. Image quality was assessed quantitatively by regions of interest analysis and subjectively by the Likert scale. Doses and image quality for CTPA alone were compared with CTPA with breast shields.Mean surface and absorbed breast dose for CTPA alone were 1.3±0.4 and 2.8±1.5 mGy in participants, and 1.5±0.7 and 1.6±0.6 mGy in the phantom. Shielding reduced surface breast dose to 0.5±0.3 and 0.7±0.2 mGy in the phantom (66%) and study participants (48%), respectively. Absorbed breast dose reduced to 0.9±0.5 mGy (46%) in the phantom.Noise increased with breast shields at lower kV settings (80 to 100 kV) in the phantom; however, in study participants there was no significant difference between shield and no-shield groups for main pulmonary artery noise (no-shield: 34±9.8, shield: 36.3±7.2, P=0.56), SNR (no-shield: 11.2±3.7, shield: 10.8±2.6, P=0.74) or contrast-to-noise ratio (no-shield: 10.0±3.3, shield: 9.3±2.4, P=0.6). Median subjective image quality scores were comparable (no-shield: 4.0, interquartile range: 3.5 to 4.4, shield: 4.3, interquartile range: 4.0 to 4.5).Combining low-dose CTPA with breast shields confers additional breast-dose savings without impacting image quality and yields breast doses approaching those of low-dose scintigraphy, suggesting breast shields play a role in protocol optimization for select groups.

Textbooks offer instructors an opportunity to promote data visualization and statistical literacy throughout the sociology curriculum. In this study, we examined 463 data visualizations from 27 textbooks for Introduction to Sociology, Social Problems, and intermediate elective courses to illuminate the range of figures and their use of statistical data and numerical variables. We find that textbooks rely on a narrow range of figures (e.g., bar/column charts and tables) and statistical data (e.g., percentages). Introduction to Sociology textbooks used more frequent and more varied figures, and Social Problems textbooks used a broader range of statistics and numerical variables. In contrast, intermediate-level textbooks presented more measures of central tendency in their figures. Overall, our results suggest textbooks could better integrate and scaffold a broader range of figures, statistical data, and numerical variables. We conclude with resources for integrating data visualization for instructors.

Early development of the microbiome has been shown to affect general health and physical development of the infant and, although some studies have been undertaken in high-income countries, there are few studies from low- and middle-income countries. As part of the BARNARDS study, we examined the rectal microbiota of 2,931 neonates (term used up to 60 d) with clinical signs of sepsis and of 15,217 mothers screening for blaCTX-M-15, blaNDM, blaKPC and blaOXA-48-like genes, which were detected in 56.1%, 18.5%, 0% and 4.1% of neonates’ rectal swabs and 47.1%, 4.6%, 0% and 1.6% of mothers’ rectal swabs, respectively. Carbapenemase-positive bacteria were identified by MALDI-TOF MS and showed a high diversity of bacterial species (57 distinct species/genera) which exhibited resistance to most of the antibiotics tested. Escherichia coli, Klebsiella pneumoniae and Enterobacter cloacae/E. cloacae complex, the most commonly found isolates, were subjected to whole-genome sequencing analysis and revealed close relationships between isolates from different samples, suggesting transmission of bacteria between neonates, and between neonates and mothers. Associations between the carriage of antimicrobial resistance genes (ARGs) and healthcare/environmental factors were identified, and the presence of ARGs was a predictor of neonatal sepsis and adverse birth outcomes.

Background: Olfactory dysfunction is a cardinal symptom of COVID-19 infection, however, studies assessing long-term olfactory dysfunction are limited and no randomised-controlled trials (RCTs) of early olfactory training have been conducted. Methodology: We conducted a prospective, multi-centre study consisting of baseline psychophysical measurements of smell and taste function. Eligible participants were further recruited into a 12-week RCT of olfactory training versus control (safety information). Patient-reported outcomes were measured using an electronic survey and BSIT at baseline and 12 weeks. An additional 1-year follow-up was open to all participants. Results: 218 individuals with a sudden loss of sense of smell of at least 4-weeks were recruited. Psychophysical smell loss was observed in only 32.1%; 63 participants were recruited into the RCT. The absolute difference in BSIT improvement after 12 weeks was 0.45 higher in the intervention arm. 76 participants completed 1-year follow-up; 10/19 (52.6%) of participants with an abnormal baseline BSIT test scored below the normal threshold at 1-year, and 24/29 (82.8%) had persistent parosmia. Conclusions: Early olfactory training may be helpful, although our findings are inconclusive. Notably, a number of individuals who completed the 1-year assessment had persistent smell loss and parosmia at 1-year. As such, both should be considered important entities of long-Covid and further studies to improve management are highly warranted.

The global population is growing by 200,000 people per day. In order to provide enough food for this growing populous sustainable intensification methods need to be adopted. The use of technology, and in particular UAVs, may be one of these methods. The use of UAVs for the completion of agricultural tasks such as fertilising and spraying may negate the need for tramlines in European tillage systems. In the present study the amount of land currently occupied by tramlines was determined in an effort to ascertain the potential amount of combinable crop products that could be achieved if this area was utilised. The results of this study found that 3.42% of a field with a 24 m bout width is occupied by tramlines. By using this area for the cultivation of crops an additional 8.14 Mt worth €1.43 billion could be produced. This additional product could provide enough calories to feed 29.5 million people per year.

For the Maya reality is a unified whole within which every entity shares in the same fundamental animating principle. This is a relational ontology whereby no phenomenon is self-contained but emerges from relations with others, including humans and non-humans, in various fields of action. This ontology correlates with a more encompassing “process metaphysic” in which reality is in constant flux, continually “becoming.” The process metaphysic envisioned by philosopher Alfred North Whitehead provides a technical language for analyzing the composition and extension of Maya persons, using the model of personhood developed by anthropologist Marcel Mauss. In life individual Maya persons assembled divergent components endowed by their maternal and paternal ancestors, which were subsequently disassembled upon their deaths. They also assembled non-corporeal components–souls and names–that linked them to existences beyond the physical boundaries and timelines of their bodies. Aspects of personhood were also shared by objects worn or manipulated by humans. Persons were thus extended in space and in time, outliving individual human beings. Maya belief and practice reveals the fundamental process known as k’ex, “replacement” or “substitution,” accounts for much of the flux and duration of the universe as a Maya-specific mode of “becoming.”

Suppressed wool prices in Ireland over the last number of years has led to situations where the cost of shearing animals is greater than the wools’ value, leading to net losses per animal for farmers. Populations of sheep in Ireland and nutrient values of wool from literature sources were used to determine the quantity of nutrients that could be produced on an annual basis using hydrolysis techniques. Results of this study suggest that up to 15.8% of the nitrogen required to produce Ireland’s cereal crops can be met annually using hydrolysed sheep wool in an economically feasible manner along with considerable amounts of sulphur, zinc, and copper. Most of the cost associated with the process is the purchasing of wool from farmers at an economically favourable level for farmers. Based on the spatial distribution of these animals, the town of Athlone is the most suitable location for a processing facility.

The potential of near-infrared spectroscopy in conjunction with chemometric techniques to predict the particulate matter and gaseous emissions of biomass pellet blends was assessed in this study. A diverse range of biomass was used, including wood, Miscanthus, wheat straw, and the herbaceous energy grass Szarvasi-1 (Elymus elongatus subsp. ponticus cv. Szarvasi-1). The particulate matter emissions were predicted with root-mean-square errors of prediction (RMSEP) of 6.83 (R2 = 0.57), 8.71 (R2 = 0.66), and 11.25 (R2 = 0.65) mg m–3 for the PM10, PM0, and TSP emissions, respectively. The gaseous emissions of oxides of nitrogen (NOx), sulfur dioxide (SO2), and carbon monoxide (CO) were predicted with RMSEPs of 14.28 (R2 = 0.93), 4.59 (R2 = 0.88), and 9.08 (R2 = 0.48) mg m–3, respectively. No significant models could be developed for the PM2.5 or PM1 emissions. The results indicate that near-infrared spectroscopy has the potential to predict the emissions of biomass pellets in a multibiomass stream.

Near infrared hyperspectral imaging was used to predict the particulate matter (PM) and gaseous emissions of pellets produced from pinewood with varying moisture contents. PM10 and SO2 emissions were successfully determined using partial least squares regression coupled with spectral data of the pellets. The resulting models had R2 values of 0.74 and 0.75 and RMSEPs of 0.29 mg m−3 and 2.01 mg m−3 for the PM10 and SO2 emissions, respectively. Correlations for the remaining emissions factors were also determined. The product of the feed rate and flue gas temperature was found to correlate with the PM1, TSP and CO emissions with Pearson's r values of 0.48, 0.54 and 0.74, respectively. PM2.5 and PM0 emissions correlated with the flue gas temperature (r = 0.48) and bulk density (r = 0.62), respectively. Gaseous emissions of NOx correlated with a Pearson's r–value of 0.57 to the product of the bulk density and the flue gas temperature. The results indicate that near infrared spectroscopy can be used to predict the PM10 and SO2 emissions of a single biomass type sample set. Correlations between physical parameters of the pellets and emissions factors can be used for approximate predictions of emissions from wood pellets.

Recent advances in synthetic biology research have been underpinned by an exponential increase in available genomic information and a proliferation of advanced DNA assembly tools. The adoption of plasmid vector assembly standards and parts libraries has greatly enhanced the reproducibility of research and exchange of parts between different labs and biological systems. However, a standardised Modular Cloning (MoClo) system is not yet available for cyanobacteria, which lag behind other prokaryotes in synthetic biology despite their huge potential in biotechnological applications. By building on the assembly library and syntax of the Plant Golden Gate MoClo kit, we have developed a versatile system called CyanoGate that unites cyanobacteria with plant and algal systems. Here we have generated a suite of parts and acceptor vectors for making i) marked/unmarked knock-outs or integrations using an integrative acceptor vector, and ii) transient multigene expression and repression systems using known and novel replicative vectors. We have tested and compared the CyanoGate system in the established model cyanobacterium Synechocystis sp. PCC 6803 and the more recently described fast-growing strain Synechococcus elongatus UTEX 2973. We observed that fast-growth phenotype in UTEX 2973 is only evident under specific growth conditions, but that UTEX 2973 can accumulate high levels of proteins with strong native or synthetic promoters. The system is publicly available and can be readily expanded to accommodate other standardised MoClo parts to accelerate the development of reliable synthetic biology tools for the cyanobacterial community.

Heteroarenes such as (aza and oxa)borines are increasingly important as synthetic targets and reagents. We map the intramolecular cyclization of saturated heterocyclic chains through dative bonding. A related set of planar unsaturated aza-, oxa-, and fluora-rings that feature dative σ bonding enhanced by π delocalization are identified. The systems have, in general, the formulae A′(CH2)mD′ and A′(CH)mD′, where m = 3 and 4, and A′ and D′ are acceptor and donor sites, respectively. In each case, the ring isomers, achievable via A′←D' internal coordination (in the manner of Kekule’s ouroboros), are more stable than chains. Unsaturated aromatic rings examined herein include a oxadiborine with a hypervalent oxygen center and a dioxadiborine. They are isoelectronic with an azaborine, which was synthesized more recently, and benzene.

Leaf wetness is an important input parameter into disease prediction models. The use of machine learning algorithms for the classification of leaf wetness measurements from 30 meteorological stations in North Western Europe during the period of January 2014 to October 2018 was assessed in this study. The accuracy of the empirical models utilised within in this study was enhanced by increasing the relative humidity threshold from 90% to 92%. Increasing the relative humidity threshold led to an average increase in the classification accuracy of 1.12%. The use of machine learning classification algorithms consistently provided more accurate results for the prediction of leaf wetness when compared to the empirical models that were studied with an average increase in the classification accuracy of 4.85%. The sub-division of the data into regional subsets had a greater effect on the accuracy of the models than the temporal sub-division of the data. Machine learning classification techniques performed well compared with previously established empirical models for the prediction of leaf wetness. Further improvements in the algorithms are possible, making the techniques studied here a viable research tool. Science Foundation Ireland Origin Enterprises

Carboxylic acid-functionalized multi-walled carbon nanotubes (COOH-MWCNT) were modified via ultrasonication with β-cyclodextrin (β-CD) to obtain a COOH-MWCNT:β-CD nanocomposite material for the purpose of developing an enzyme-free electrochemical sensor for uric acid—a clinically relevant molecule implemented in pregnancy-induced hypertension diagnosis. The nanocomposite material is deposited onto glassy carbon electrodes and subsequently capped with layers of Nafion and Hydrothane polyurethane. The surface morphology and electronic structure of the nanocomposite material were characterized using UV–Vis, TEM, and FTIR. The performance of the electrochemical sensor was measured through direct injection of UA during amperometry. With the high surface area of the COOH-MWCNT in concert with the selectivity provided by β-CD, the composite system outperforms similar COOH-MWCNT systems, displaying enhanced UA sensitivity versus films with only COOH-MWCNT. With the improved sensitivity (4.28 ± 0.11 µA mM−1) and fast response time (4.0 ± 0.5 s), the sensors offer wide detection of UA across clinically relevant ranges (100–700 μM) as well as demonstrated selectivity against various interferents.

Cystic fibrosis (CF) is a multisystem disease with a range of abdominal manifestations including those involving the liver, pancreas, and kidneys. Recent advances in management of the respiratory complications of the disease has led to a greater life expectancy in patients with CF. Subsequently, there is increasing focus on the impact of abdominal disease on quality of life and survival. Liver cirrhosis is the most important extrapulmonary cause of death in CF, yet significant challenges remain in the diagnosis of CF related liver disease. The capacity to predict those patients at risk of developing cirrhosis remains a significant challenge. We review representative abdominal imaging findings in patients with CF selected from the records of two academic health centres, with a view to increasing familiarity with the abdominal manifestations of the disease. We review their presentation and expected imaging findings, with a focus on the challenges facing diagnosis of the hepatic manifestations of the disease. An increased familiarity with these abdominal manifestations will facilitate timely diagnosis and management, which is paramount to further improving outcomes for patients with cystic fibrosis.

An amperometric uric acid (UA) sensor incorporating a multi-walled carbon nanotubes (MWCNT) network in Nafion and electropolymerized β-cyclodextrin (β-CD) layer is investigated. The electrochemical sensor is comprised of a glassy carbon electrode modified with Nafion-MWCNT nanocomposite film, a β-CD polymer inner selective layer, and a Hydrothane polyurethane (HPU) outer selective coating. The surface morphology and electronic structure of the electrode material are characterized using transmission electron microscopy (TEM), scanning electron microscope (SEM), and Fourier transform infrared (FTIR) spectroscopy. The electrocatalytic activity of the sensor is studied using cyclic voltammetry (CV), chronocoulometry (CC) and differential pulse voltammetry (DPV). Analytical performance of the electrochemical sensor scheme with and without MWCNT and/or β-CD polymer is determined from direct UA injection during an amperometric analysis. The effective surface area is notably higher for Nafion-MWCNT coated glassy carbon electrodes, which in turn enhanced the sensitivity when coated with β-CD polymer. The results indicated an excellent electrocatalytic property of Nafion-MWCNT/β-CD film for UA detection with enhanced sensitivity (2.11 μA·mM− 1), wide linear responses over physiologically relevant concentrations, and fast response times. Enhancement is attributed to MWCNT offering increased electroactive surface area and the ability of β-CD to selectively sequester UA.

Controversy surrounds the use of standardized exit exams to predict and prepare students for NCLEX success. The purpose of this study was to explore the relationships between Kaplan integrated exam scores and the HESI® exit exam score to determine early indicators of success on the exit exam. A retrospective records review was used to explore relationships between performance on integrated tests and the standardized exit exam. A solid Kaplan comprehensive medical surgical exam score was highly correlated with success on the HESI exit exam. Tracking and follow-up resulted in exit exam success for nearly all students.

Near infrared hyperspectral imaging combined with chemometrics was used to assess the potential for the prediction of the moisture content, specific energy and the feed rate of the feedstock into the pellet die. Samples were produced from a diverse set of agricultural products and wood chips, with a range of moisture contents. Image analysis was also utilised to assess the efficient mixing of biomass feedstocks prior to pelleting in a multi biomass stream. The moisture content (%), specific energy (kWh kg− 1) and feed rate (kg min− 1) were predicted with root mean square errors of prediction of cross validation of 1.11% (R2 = 0.94), 0.12 kWh kg− 1 (R2 = 0.64) and 0.20 kg min− 1 (R2 = 0.70), respectively. The results of this study indicate that near infrared hyperspectral imaging has the potential to be incorporated into a biomass pelleting facility to improve the efficiency of the system.

One innovative way to help students make sense of survey research has been to create a multifaceted, collaborative assignment that promotes critical thinking, comparative analysis, self-reflection, and statistical literacy. We use a short questionnaire adapted from the Higher Education Research Institute’s Cooperative Institutional Research Program’s Freshman Survey. In our Research Methods course, students begin by administering the brief questionnaire to a small, nonrandom sample of students at our university. They analyze the data descriptively and compare their “results” to the national trends as part of their required course homework. These data are then quantitatively analyzed throughout all homework exercises the next semester during their statistics course. This collaborative effort bridges methods, statistics, and capstone courses, helping students connect the courses and develop a deeper understanding, awareness and appreciation of the utility of preestablished instruments for collecting primary data and for assessing the meaning of secondary data.

The role of vibrational coherence in photosynthetic pigment-proteins has been controversial. The present article investigates theoretically how the intramolecular vibrations of bacteriochlorophyll (BChl) influence the excitation energy transfer (EET) dynamics in the Fenna-Matthews-Olson complex (FMO). To this end, we use an exciton model incorporating recent experimental data and treat the vibrations as both coherent and incoherent. We simulate the transfer phenomena numerically with non-Markovian quantum dynamics. Our results at 300 K indicate that incoherent vibrations can moderately improve the efficiency of EET between FMO and a reaction center. With a vibronic model, we show that the coherent vibrations in either strongly or resonantly coupled BChl pairs can generate characteristic oscillations in their electronic populations which persist for several picoseconds even at 300 K. Despite such robust coherences, no significant improvement in the efficiency of EET is observed.

One in five adults with intellectual disabilities (ID) known to services display challenging behaviours (CBs), and these individuals are at risk for restrictive practices and poor care. Staff attitudes may contribute to the development and/or maintenance of CBs. We investigated the effectiveness of co-produced Who's Challenging Who? training delivered by people with ID to staff.This study involved a cluster randomised controlled trial (RCT) of Who's Challenging Who? training with follow-up at six and 20 weeks post-randomisation.two staff from each of 118 residential care settings for adults with ID at least one of whom displayed aggressive CB.Self-reported Staff Empathy for people with Challenging Behaviour Questionnaire.intention to treat of all randomised settings. ISCRTN registration: ISRCTN53763600.118 residential settings (including 236 staff) were randomised to either receive training (59 settings) or to receive training after a delay (59 settings). The primary analysis included data from 121 staff in 76 settings (51% of staff, 64% of settings). The adjusted mean difference on the transformed (cubed) Staff Empathy for people with Challenging Behaviour Questionnaire score at the primary end point was 1073.2 (95% CI: -938.1 to 3084.5, P = 0.296) in favour of the intervention group (effect size Cohen's d = .19).This is the first large-scale RCT of a co-produced training course delivered by people with ID. Findings indicated a small positive (but statistically non-significant) effect on increased staff empathy at 20 weeks, and small to moderate effects for staff reported secondary outcomes in favour of the intervention group.