We explored the dynamics of Taylor–Couette flows within square enclosures, focusing primarily on the turbulence regime and vortex behaviour at varying Reynolds numbers. Laboratory experiments were conducted using particle image velocimetry for Reynolds numbers $Re_{\varDelta }\in [0.23, 4.6]\times 10^3$ based on the minimum gap $\varDelta /d = 1/16$, $1/8$ and $1/4$, where $d$ is the cylinder diameter, or $Re\in [1.8, 9.8]\times 10^3$ based on $d/2$. At lower $Re$, the flow was dominated by well-defined Taylor and Görtler vortices, while higher $Re$ led to a turbulent state with distinct motions. Space–time radial velocity analysis revealed persistent Taylor vortices at lower $Re$, with larger gaps but increased turbulence, and irregular motions at higher $Re$, with smaller gaps. Velocity spectra reveal that the energy distribution is maintained at frequencies lower than the integral-type frequency $f_I$ across varying $\varDelta$ due to the dominance of large vortices. However, there is a monotonic increase in energy at higher frequencies beyond $f_I$. The reduced characteristic frequency $f_I\varDelta /\omega _ir_i \sim 1/10$ indicates that these motions scale linearly with angular velocity, and inversely with the gap. Proper orthogonal decomposition (POD) and spectral POD were used to distinguish between Taylor and Görtler vortices, showing the effects of gap size and the associated energy cascade. Linear stability analysis included as complementary support revealed primary instability of the Taylor vortex, which is similar to the circular enclosure, along with multiple corner modes that are unique to the geometry.

Adults living with obesity have a higher risk of eating disorders and disordered eating behaviours such as binge eating(1,2). However, the prevalence of disordered eating/eating disorders in adults presenting for obesity treatment is unknown and this information is needed to guide service provision. This systematic review aimed to estimate the prevalence of disordered eating/eating disorders in adults presenting for obesity treatment. Embase, MEDLINE and PsycINFO were searched to March 2024. Eligible studies (k) measured disordered eating/eating disorders in adults with overweight/obesity presenting for obesity treatment and included ≥ 325 participants to ensure a representative sample. Prevalence estimates were synthesised using random effect meta-analysis. 81 studies were included (n = 92,002, 75.9% female, median (IQR) age 44 (6) years, BMI 45 (11) kg/m2. Most studies were conducted in the United States (k = 44) and Italy (k = 15). Most prevalence data related to binge eating disorder or binge eating severity. The pooled prevalence of binge eating disorder, assessed by clinical interview, was 17% (95% CI: 12–22, 95% prediction interval (PI): 0–42, k = 19, n = 13447, τ2 = 0.01) using DSM-IV criteria and 12% (95% CI: 5–20, 95% PI: 0–40, k = 9, n = 7680, τ2 = 0.01) using DSM-V criteria. The pooled prevalence for severe binge eating (Binge Eating Scale score > 25) was 12% (95% CI: 8–16, 95% PI: 0–31, k = 18, n = 12136, τ2 = 0.01). For binge eating disorder, measured by clinical interview, the prevalence range for females and males was 14.9 to 27.0% (k = 12), and 4.0 to 24.1% (k = 3) respectively. For moderate to severe binge eating (Binge Eating Scale score ≥ 18) the prevalence for females and males ranged from 20.0 to 32.8%, and 7.1 to 77.5% (k = 2). Three studies reported prevalence by ethnicity. The prevalence of severe binge eating (Binge Eating Scale scores ≥ 27) was 9.5 to 41.7% in white populations (k = 2), 7.5 to 35.8% in black populations (k = 2), and 5.7% in Hispanic populations (k = 1). One study reported binge eating disorder, assessed by clinical interview, for white, black and Hispanic populations and reported prevalence of 15.3%, 11.3% and 11.4% respectively. Overall, there was high variability in the prevalence of binge eating and binge eating disorder in adults presenting for obesity treatment, with available data indicating prevalence can range up to 42%. It is important to identify which population level factors drive this heterogeneity to inform service provision however, the limited data highlights a significant knowledge gap in the reporting of eating disorders in underrepresented populations which needs to be addressed.

Liquid metal flows are important for many industrial processes, including liquid metal batteries (LMBs), whose efficiency and lifetime can be affected by fluid mixing. We experimentally investigate flows driven by electrical currents in an LMB model. In our cylindrical apparatus, we observe a poloidal flow that descends near the centreline for strong currents, and a poloidal flow that rises near the centreline for weak currents. The first case is consistent with electrovortex flow, which is an interaction between current and its own magnetic field, whereas the second case is consistent with an interaction between current and the external field, which drives Ekman pumping. Notably, we also observe an intermediate case where the two behaviours appear to compete. Comparing results with Frick et al. (2022 J. Fluid Mech. 949, A20), we test prior estimates of the scaling of flow speed with current to predict the observed reversal. Based on these data, we propose two different ways to apply the Davidson et al. (1999 J. Fluid Mech. 245, 669–699) poloidal suppression theory that explain both experimental results simultaneously: either taking the wire radius into account to scale the Lorentz force, or taking viscous dissipation into account to scale the swirl velocity, following Herreman et al. (2021 J. Fluid Mech. 915, A17).

Non-native plants negatively impact ecosystems via a variety of mechanisms, including in forested riparian areas. Japanese knotweed [Polygonum cuspidatum Siebold & Zucc.] and its hybrids (referred to as Polygonum spp. hereafter) are widely spread throughout North America and can impact flora and fauna of riparian habitats. Thus, information improving our ability to understand and predict the potential spread and colonization of Polygonum spp. is valuable. One dispersal mechanism is hydrochory (i.e., dispersal by water), including the downstream dispersal of viable stems that can facilitate rapid invasion within a watershed. We used passive integrated transponder (PIT) telemetry in experimental releases of Polygonum spp. stems to track the downstream transport of Polygonum spp. in a small (second-order) stream in northern New Hampshire, USA, in the summers of 2021 and 2022. A total of 180 (90 each year) Polygonum spp. stems were released at three sites within the stream reach, with 185 (∼98%) being recaptured at least once, with a total of 686 recaptures. Individual relocated stems moved a maximum distance of 30 to 875 m downstream in 2021 and 13 to 1,233 m in 2022 during regular flows; however, a high-streamflow event in July 2021 flushed out all remaining stems downstream of the study area. Generalized additive mixed models (GAMMs) identified site-specific differences in stem movement rates and a general reduction in movement rates with increased duration of time elapsed since post-release. In general, Polygonum spp. stems moved farther downstream in sites with lower channel sinuosity, although other fine-scale habitat factors (e.g., water depth, habitat type, and presence of wood and debris jams) likely contribute to the ability for Polygonum spp. to further disperse or otherwise be retained within the channel. Thus, stream morphology and stream flow are likely to affect where Polygonum spp. stems will be retained and potentially reestablish. Predictive tools identifying areas of higher probability of hydrochory-based dispersal could help to focus removal efforts when employed or to identify riparian habitats at highest risk for spread.

Background: Traditional insomnia drugs enhance gamma-aminobutyric acid and are associated with abuse/dependence. Dual orexin-receptor antagonists (DORAs) represent an alternate mechanism promoting wakefulness, rather than inhibition. Nonclinical studies indicate DORAs do not demonstrate abuse potential. Nonetheless, based on human abuse potential (HAP) studies and lack of postmarketing data at approval, DORAs are Schedule 4 controlled substances. However, HAP studies may not predict real-world abuse-potential risk. Methods: Adverse events with preferred terms (PTs) of drug-withdrawal-syndrome, drug-abuse, and drug-dependence were evaluated from Eisai’s ongoing global postmarketing safety surveillance system in the US, Canada, and Japan (20/Dec/2019–30/Sep/2023) and the FDA Adverse Event Reporting System (FAERS; 01/Jan/2015–30/Jun/2023). In FAERS, reports of those PTs from DORAs (lemborexant/suvorexant/daridorexant) were compared with zolpidem and with benzodiazepines approved for patients with insomnia (estazolam/temazepam/triazolam). Results: Since lemborexant’s approval, few of the 3 PTs were reported in Eisai’s surveillance system (~0.15 cases per million patient-days of global exposure). Reports in FAERS for PTs of drug-withdrawal-syndrome, drug-abuse, and drug-dependence for DORAs (10,202 reports) were <0.1%/<0.1%/0.1%, respectively. Reports for benzodiazepines (5534 reports) were 0.8%/12.9%/3.7%, respectively, and 1.0%/9.1%/5.3% for zolpidem (18,330 reports), respectively. Conclusions: Abuse potential may be better represented by nonclinical studies and national surveillance systems, suggesting DORAs may not pose meaningful abuse potential and related risks.

OBJECTIVES/GOALS: The correction of spinopelvic parameters is associated with better outcomes in patients with adult spinal deformity (ASD). This study presents a novel artificial intelligence (AI) tool that automatically predicts spinopelvic parameters from spine x-rays with high accuracy and without need for any manual entry. METHODS/STUDY POPULATION: The AI model was trained/validated on 761 sagittal whole-spine x-rays to predict the following parameters: Sagittal Vertical Axis (SVA), Pelvic Tilt (PT), Pelvic Incidence (PI), Sacral Slope (SS), Lumbar Lordosis (LL), T1-Pelvic Angle (T1PA), and L1-Pelvic Angle (L1PA). A separate test set of 40 x-rays was labeled by 4 reviewers including fellowship-trained spine surgeons and a neuroradiologist. Median errors relative to the most senior reviewer were calculated to determine model accuracy on test and cropped-test (i.e. lumbosacral) images. Intraclass correlation coefficients (ICC) were used to assess inter-rater reliability RESULTS/ANTICIPATED RESULTS: The AI model exhibited the following median (IQR) parameter errors: SVA[2.1mm (8.5mm), p=0.97], PT [1.5° (1.4°), p=0.52], PI[2.3° (2.4°), p=0.27], SS[1.7° (2.2°), p=0.64], LL [2.6° (4.0°), p=0.89], T1PA [1.3° (1.1°), p=0.41], and L1PA [1.3° (1.2°), p=0.51]. The parameter errors on cropped lumbosacral images were: LL[2.9° (2.6°), p=0.80] and SS[1.9° (2.2°), p=0.78]. The AI model exhibited excellent reliability at all parameters in both whole-spine (ICC: 0.92-1.0) and lumbosacral x-rays: (ICC: 0.92-0.93). DISCUSSION/SIGNIFICANCE: Our AI model accurately predicts spinopelvic parameters with excellent reliability comparable to fellowship-trained spine surgeons and neuroradiologists. Utilization of predictive AI tools in spine-imaging can substantially aid in patient selection and surgical planning.

Single crystals of sudoite from Ottré, Belgium, allow confirmation of a dioctahedral 2:1 layer and a trioctahedral interlayer in a IIb arrangement. A regular 2-layer s structure is formed in which the octahedral stagger within both 2:1 layers is directed along X1 and adjacent layers are alternately displaced by a2/3 and a3/3. Poor quality crystals and twinning prevented three-dimensional refinement. One-dimensional refinement suggests that the smaller d(001) value of dioctahedral chlorites relative to trioctahedral species is due primarily to the thinner dioctahedral sheet.

SiO2 sols were made unstable by addition of Ca2+ ions. The resulting states of instability were classified as gelation, flocculation, and precipitation by means of observation, by checking the Tyndall effects on the supernatant or suspending solution, as appropriate, and by measuring the apparent densities of flocculated mass. The concentrations of free Ca2+ ions left in solution were measured by means of a Ca2+ ion selective electrode. The amounts sorbed onto SiO2 particles were then calculated by material balance. It was found that while the amount sorbed dictates the limit of stability, the SiO2 concentration in the mixture is an important factor deciding the state of instability. Depending on the SiO2 concentration, there were two distinct flocs with the apparent floc density of 6 ± 1 and 12 ± 1 mg SiO2/ml.

Recent research has shown the potential of speleothem δ13C to record a range of environmental processes. Here, we report on 230Th-dated stalagmite δ13C records for southwest Sulawesi, Indonesia, over the last 40,000 yr to investigate the relationship between tropical vegetation productivity and atmospheric methane concentrations. We demonstrate that the Sulawesi stalagmite δ13C record is driven by changes in vegetation productivity and soil respiration and explore the link between soil respiration and tropical methane emissions using HadCM3 and the Sheffield Dynamic Global Vegetation Model. The model indicates that changes in soil respiration are primarily driven by changes in temperature and CO2, in line with our interpretation of stalagmite δ13C. In turn, modelled methane emissions are driven by soil respiration, providing a mechanism that links methane to stalagmite δ13C. This relationship is particularly strong during the last glaciation, indicating a key role for the tropics in controlling atmospheric methane when emissions from high-latitude boreal wetlands were suppressed. With further investigation, the link between δ13C in stalagmites and tropical methane could provide a low-latitude proxy complementary to polar ice core records to improve our understanding of the glacial–interglacial methane budget.

In Hong Kong, the percentage of older drug users has increased over the last two decades. However, the motivations behind their drug-use behaviours have received little research attention. This study focuses on older drug users who are enrolled in methadone treatment programmes but still use illicit drugs (mixed use). Some studies in the criminological literature and government discourse consider drug users to be passive and lacking self-control. However, in-depth interviews in with 25 older mixed users (aged over 50 years) in Hong Kong revealed that mixed use is one of the various strategies they actively employ to improve their self-perceived quality of life. Using the framework of the selective optimization with compensation model, this study (1) describes the strategies older mixed users adopt as active agents to improve their self-perceived quality of life while coexisting with their addiction; and (2) explains how these strategies were affected and constrained by Hong Kong’s prohibitionist drug policy. I infer that prohibitionist drug policies that emphasize on total drug abstinence may fail to cater to the needs of older drug users who have undergone several relapses and treatments in their lifetimes and do not think they can give up using drugs. This study also provides evidence to show how some drug users may act as active agents to manage and coexist with their addiction, and their agency seems to be constrained by the wider drug policy implemented in Hong Kong.

We present the third data release from the Parkes Pulsar Timing Array (PPTA) project. The release contains observations of 32 pulsars obtained using the 64-m Parkes ‘Murriyang’ radio telescope. The data span is up to 18 yr with a typical cadence of 3 weeks. This data release is formed by combining an updated version of our second data release with $\sim$3 yr of more recent data primarily obtained using an ultra-wide-bandwidth receiver system that operates between 704 and 4032 MHz. We provide calibrated pulse profiles, flux density dynamic spectra, pulse times of arrival, and initial pulsar timing models. We describe methods for processing such wide-bandwidth observations and compare this data release with our previous release.

Background: Although unapproved by the FDA for treating insomnia, trazodone is commonly prescribed in the US partly due to lack of scheduling, hence it’s perceived as safer than z-drugs and benzodiazepines. This study investigated trazodone abuse/dependence potential and safety risks. Methods: Cases involving trazodone or benzodiazepines (temazepam, triazolam, estazolam) frequently prescribed for insomnia were identified from the FDA Adverse Events Reporting System (FAERS), National Forensic Laboratory Information System (NFLIS) for confiscation data, and the American Association of Poison Control Centers’-National Poison Data System (AAPCC-NPDS). Drug-related falls risk was assessed from claims databases. Results: FAERS included 11,228 trazodone and 5120 benzodiazepine reports. Of these, drug-abuse and drug-dependence cases with trazodone were lower than benzodiazepines (drug-abuse: 6.4%/12.6%; drug-dependence: 1.1%/3.6%). Serious cases (81.8%/83.9%) and deaths (35.4%/36.0%), were similar between trazodone and benzodiazepines. NFLIS reported 612/1,575,874 (0.04%) drug-seizure cases that included trazodone. AAPCC-NPDS reported 22,225/1,446,011 (1.54%) total case mentions of trazodone/all pharmaceuticals and 8445 trazodone-related single-exposure cases. Falls risk (1year-period) in Medicare beneficiaries ≥65y and commercially-insured enrollees ≥18y was reported for trazodone and benzodiazepines: Medicare, 9.5%/11.3%; Commercially-insured: 4.6%/3.7%. Conclusions: Trazodone has abuse/dependence potential and important safety risks. Given limited data from well-controlled studies and off-label use, re-evaluation of trazodone prescribing rates in patients with insomnia is warranted.

Objectives: Over the past 2 years, many infection prevention and control (IPC) resources have been diverted to manage the COVID-19 pandemic. Its impact on the incidence of antimicrobial-resistant organisms has not been adequately studied. We investigated the impact of the pandemic on the incidence of carbapenem-resistant Enterobacterales (CRE) in Singapore. Methods: We extracted data on unique CRE isolates (clinical and/or surveillance cultures) and patient days for 6 public hospitals in Singapore from the carbapenemase-producing Enterobacteriaceae (CaPES) study group database, and we calculated the monthly incidence of CRE (per 10,000 patient days). Interrupted time-series (ITS) analysis was conducted with the pre–COVID-19 period defined as before February 2020, and the COVID-19 period defined as after February 2020. Statistical analyses were performed using Stata version 15 software. Results: From January 2017 to March 2021, 6,770 CRE isolates and 9,126,704 patient days were documented. The trend in CRE monthly incidence increased significantly during the pre–COVID-19 period (0.060; 95% CI, 0.033–0.094; P < .001) but decreased during the COVID-19 period (−0.183; 95% CI, −0.390 to 0.023; P = .080) without stepwise change in the incidence (−1.496; 95% CI, −3.477 to 0.485; P = .135). The trend in monthly incidence rate of CRE clinical cultures increased significantly during the pre–COVID-19 period (0.046; 95% CI, 0.028–0.064; P < .001) and decreased significantly during COVID-19 period (−0.148; 95% CI, −0.249 to −0.048; P = .048) with no stepwise change in the incidence (−0.063; 95% CI, −0.803 to 0.677; P = .864). The trend in monthly incidence rate of CRE surveillance cultures decreased during the pre–COVID-19 period (−0.020; 95% CI, −0.062 to 0.022; P = .341) and the COVID-19 period (−0.067; 95% CI, −0.291to 0.158; P = .552) without stepwise change in the incidence (−1.327; 95% CI, −3.535 to 0.881; P = .233). Conclusions: The rate of CRE in clinical cultures decreased during COVID-19 but not the rate in surveillance cultures. Further studies are warranted to study the impact of COVID-19 on CREs.

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We investigate the scaling properties of the primary flow modes and their sensitivity to aspect ratio in a liquid gallium (Prandtl number $Pr = 0.02$) convection system through combined laboratory experiments and numerical simulations. We survey cylindrical aspect ratios $1.4 \le \varGamma \le 3$ and Rayleigh numbers $10^{4} \lesssim Ra \lesssim 10^{6}$. In this range the flow is dominated by a large-scale circulation (LSC) subject to low-frequency oscillations. In line with previous studies, we show robust scaling of the Reynolds number $Re$ with $Ra$ and we confirm that the LSC flow is dominated by a jump-rope vortex (JRV) mode whose signature frequency is present in velocity and temperature measurements. We further show that both $Re$ and JRV frequency scaling trends are relatively insensitive to container geometry. The temperature and velocity spectra consistently show peaks at the JRV frequency, its harmonic and a secondary mode. The relative strength of these peaks changes and the presence of the secondary peak depend highly on aspect ratio, indicating that, despite having a minimal effect on typical velocities and frequencies, the aspect ratio has a significant effect on the underlying dynamics. Applying a bandpass filter at the secondary frequency to velocity measurements reveals that a clockwise twist in the upper half of the fluid layer coincides with a counterclockwise twist in the bottom half, indicating a torsional mode. For aspect ratio $\varGamma = 3$, the unified LSC structure breaks down into multiple rolls in both simulation and experiment.