Large Effect Research Articles

Social ties and food insecurity in woman‐headed households

AbstractFood insecurity is a global concern, as set in the Sustainable Development Goal 2. Previous research has focused on the demographics and socioeconomic determinants of food insecurity, while little attention has been paid to the role of social ties. Using a national representative survey of Chile, that includes a questionnaire to measure prevalence of food insecurity and 11 social ties, we estimate the prevalence of four groups using a sample of 70,677 households. Then, we focus on the sub‐sample of 29,203 woman‐headed households, who experience the largest food insecurity prevalence. We use a descriptive analysis, followed by a principal component analysis to aggregate 11 social ties in fewer components to assess the associations between social ties and food insecurity and to identify the ties with stronger impact. The results show that woman‐headed households, without a partner, have a prevalence of moderate or severe food insecurity of 32.8%, 30.9%, 24.7%, after none, one and two social ties, respectively. This decreasing trend is also observed in woman‐headed households with partners. We also found that the 11 social ties studied are highly correlated among them; they can be explained by two indexes—economic and education components. In particular, we found that economic and educational social ties are associated to a larger effect on food insecurity prevalence. This study provides evidence for policy‐makers regarding investment on social ties to tackle food insecurity.

Corrin Ring Modifications Reveal the Chemical and Spatial Requirements for the B12-btuB Riboswitch Interaction.

The btuB riboswitch is a regulatory RNA sequence controlling gene expression of the outer membrane B12 transport protein BtuB by specifically binding coenzyme B12 (AdoCbl) as its natural ligand. The B12 sensing riboswitch class is known to accept various B12 derivatives, leading to a division into two riboswitch subclasses, dependent on the size of the apical ligand. Here we focus on the role of side chains b and e on affinity and proper recognition, i. e. correct structural switch of the btuB RNA, which belongs to the AdoCbl-binding class I. Chemical modification of these side chains disturbs crucial hydrogen bonds and/or electrostatic interactions with the RNA, its effect on both affinity and switching being monitored by in-line probing. Chemical modifications at sidechain b of vitamin B12 show larger effects indicating crucial B12-RNA interactions. When introducing the same modification to AdoCbl the influence of any side-chain modification tested is reduced. This renders the impact of the adenosyl-ligand for B12-btuB riboswitch recognition clearly beyond the known role in affinity.

Pathogen infection alters the gene expression landscape of transposable elements in Drosophila melanogaster.

Transposable elements make up substantial proportions of eukaryotic genomes and many are thought to be remnants of ancient viral infections. Current research has begun to highlight the role transposable elements can play in the immune system response to infections. However, most of our knowledge about transposable element expression during infection is limited by the specific host and pathogen factors from each study, making it difficult to compare studies and develop broader patterns regarding the role of transposable elements during infection. Here, we use the tools and resources available in the model, Drosophila melanogaster, to analyze multiple gene expression datasets of flies subject to bacterial, fungal, and viral infections. We analyzed differences in pathogen species, host genotype, host tissue, and sex to understand how these factors impact transposable element expression during infection. Our results highlight both shared and unique transposable element expression patterns between pathogens and suggest a larger effect of pathogen factors over host factors for influencing transposable element expression.

Placebo-related improvement with methylphenidate treatment in children with ADHD.

Non-specific effects of methylphenidate treatment, including expectancy and regression to the mean effects, contribute to the overall effect of methylphenidate on attention-deficit/hyperactivity disorder (ADHD) symptoms. Knowledge on the extent to which non-specific effects contribute to the overall effect and whether regression to the mean explains part of the non-specific effects, is currently lacking. A double-blind, randomized, placebo-controlled, cross-over trial was used to compare parent and teacher ratings of child ADHD symptoms at baseline and during treatment with placebo and 5, 10, 15 and 20mg of methylphenidate, twice daily. Participants were 5-13-year-old children with a DSM-5 diagnosis of ADHD (N = 45). The extent to which non-specific effects contributed to the effects of methylphenidate was determined by ADHD symptom reductions observed with placebo versus reductions observed with active doses of methylphenidate. The influence of regression to the mean was examined by estimating the contribution of baseline ADHD symptom severity to the effects observed with placebo treatment. Data were analyzed using multilevel analyses. We observed significant non-specific effects of methylphenidate for parent-rated ADHD symptoms, but not for teacher-rated symptoms. For parent reported hyperactive/impulsive symptoms, higher baseline symptoms predicted larger effects with placebo, indicating regression to the mean effects. For parent-reports, a significant part of the overall effect of methylphenidate treatment is explained by non-specific effects. Our findings stress the importance of taking non-specific effects into account when evaluating methylphenidate treatment, by including teacher-reports and using a double baseline assessment during titration. Comparing active medication with a placebo in the titration trial has the potential to identify non-specific effects.

Selective injury of thalamocortical tract in neonatal rats impairs forelimb use: model validation and behavioral effects.

Unilateral brain injury in neonates results in largely contralateral hand function in children. Most research investigating neurorehabilitation targets for movement recovery has focused on the effects of brain injury on descending motor systems, especially the corticospinal tract. However, a recent human study demonstrated that sensory tract injury may have larger effects on dexterity than motor tract injury. To validate that the sensory tract injury impairs dexterity, we modeled the most common site of sensory tract injury in neonates by targeting the thalamocortical tract. In the postnatal day 7 rats, we used three types of lesions to the thalamocortical tract: periventricular blood injection, photothrombotic lesion, and electrolytic lesion. To test the sensitivity and specificity of these techniques, viral tracers were injected into the primary sensory or motor cortex immediately after injury. Electrolytic lesions were the most specific and reproducible for inducing a lesion compared to the other two methods. Electrolytic lesions disrupted 63% of the thalamocortical tract, while sparing the adjacent corticospinal tract in the internal capsule. To measure the impact on dexterity, the cylinder exploration and pasta handling tests were used to test the changes of forelimb use at 8 weeks after injury when the rats reached maturity. Lesions to the thalamocortical tract were associated with a significant decrease in the use of the contralateral forelimb in the cylinder task, and the degree of impairment positively correlated with the degree of injury. Overall, specific sensory system lesions of the thalamocortical tract impair forelimb use, suggesting a key role for skilled movement.

Effectiveness of Shoe Rotation in Managing Plantar Fasciitis in Patients.

Background/Objectives: Plantar fasciitis (PF) is a common condition that causes heel pain. While various conservative treatment modalities for PF exist, no previous studies have investigated the effectiveness of shoe rotation (ShR) in patients with PF pain. This study aimed to compare the therapeutic effectiveness of ShR with that of two conventional treatments for PF-namely, foot orthosis (FO) and physical therapy (PT). Methods: Charts of 42 patients with heel pain were retrospectively reviewed. Participants were allocated to one of three treatment groups: the ShR group, the customized FO group, and the PT group. Pain and functional outcomes were assessed using the Visual Analog Scale (VAS), Digital Pain Scale (DPS), Foot Function Index (FFI), Foot Pain and Function Scale (FPFS), and American Orthopedic Foot and Ankle Society Ankle-Hindfoot Scale (AOFAS-AHS) at baseline and at 4 and 12 weeks after the intervention. Results: The ShR, FO, and PT groups all showed improvements, with statistically significant decreases in VAS, DPS, and FFI scores and significant increases in FPFS and AOFAS-AHS scores over time (p < 0.05). All three interventions resulted in significant improvements from baseline to 4 weeks and further to 12 weeks (p < 0.05). The ShR group exhibited a slightly larger effect on all measurements than the other groups. Conclusions: ShR, FO, and PT contributed to pain reduction and functional improvement, and alternating the shoes alleviated PF pain. These results suggest a new approach to managing PF and serve as a basis for providing convenient treatment for patients with PF.

Latent profiles of modifiable dementia risk factors in later midlife: relationships with incident dementia, cognition, and neuroimaging outcomes.

In 2020, the Lancet Commission identified 12 modifiable factors that increase population-level dementia risk. It is unclear if these risk factors co-occur among individuals in a clinically meaningful way. Using latent class analysis, we identified profiles of modifiable dementia risk factors in dementia-free adults aged 60-64 years from the UK Biobank. We then estimated associations between these profiles with incident dementia, cognition, and neuroimaging outcomes, and explored the differences across profiles in the effects of a polygenic risk score for Alzheimer's disease on outcomes. In 55,333 males and 63,063 females, three sex-specific latent profiles were identified: cardiometabolic risk, substance use-related risk, and low risk. The cardiometabolic risk profile in both males and females was associated with greater incidence of all-cause dementia (male: OR [95% CI] = 2.33 [2.03, 2.66]; female: OR [95% CI] = 1.44 [1.24, 1.68]), poorer cognitive performance, greater brain atrophy, and greater white matter hyperintensity volume compared to the low risk profile. The substance use-related risk profile in males was associated with poorer cognitive performance and greater white matter hyperintensities compared to the low risk profile, but no difference in all-cause dementia incidence was observed (OR [95% CI] = 1.00 [0.95, 1.06]). In females, the substance use-related risk profile demonstrated increased dementia incidence (OR [95% CI] = 1.58 [1.57, 1.58]) and greater brain atrophy but smaller white matter hyperintensity volume compared to the low risk profile. The polygenic risk score had larger effects among females, and differentially influenced outcomes across profiles; for instance, there were larger effects of the polygenic risk score on atrophy in the cardiometabolic profile vs. the low risk profile among males, and larger effects of the polygenic risk score on loss of white matter integrity in the cardiometabolic profile vs. the low risk profile among females. These results reveal three modifiable dementia risk profiles, their unique cognitive/neuroimaging outcomes, and their interactions with genetic risk for Alzheimer's disease. These differences highlight the need to consider population heterogeneity in risk prediction tools and in planning personalized prevention strategies.

Litter application increases soil multinutrient cycling in alpine meadow ecosystems on the Tibetan Plateau

In soil, multiple nutrients are cycled simultaneously (multinutrient cycling), rather than a single measurable process. While the impact of litter decomposition on individual soil nutrient cycling in alpine meadow ecosystems on the Tibetan Plateau is well-documented, its effects on soil multinutrient cycling remain unclear. We deployed a three-year litter application experiment in an alpine meadow on the Tibetan Plateau to examine the responses of soil microclimate, extracellular enzyme activities, and bacterial and fungal communities to litter applications, as well as the correlations between these vital factors with soil multinutrient cycling induced by litter application. We showed that litter application raised the soil multinutrient cycling index, temperature, and moisture content by an average of 190 %, 1.2 °C, and 12 %, respectively. Litter application increased the activities of soil extracellular enzyme β-1,4-glucosidase, β-1,4-xylosidase, β-D-cellobiosidase, L-leucine aminopeptidase, acid phosphatase, and phenol oxidase. Moreover, litter application increased the richness and diversity of both soil bacterial and fungal communities, and altered their community structure, but with larger effects on bacterial communities (R2 = 0.43 for bacterial community and R2 = 0.19 for fungal community). This indicates that bacterial communities are more responsive to litter application than fungal communities in alpine meadow soils on the Tibetan plateau. Partial least-square path modeling indicated that soil bacterial and fungal communities and extracellular enzyme activities were significantly positively correlated with soil multinutrient cycling after litter application. The relative abundances of bacterial phyla of Proteobacteria, Actinobacteria, and Verrucomicrobiota, and fungal phyla of Basidiomycota were positively related to most of the critical soil nutrients, indicating that those microbial taxa are the main drivers of soil multinutrient cycling. Overall, this study provides explicit evidence that litter application accelerates Tibetan meadow soil multinutrient cycling, which contributes to an enhanced understanding of the role of litter in sustaining the functions and services of alpine meadow ecosystems on the Tibetan Plateau.

Numerical investigation of driver injury risks in car-to-end terminal crashes using a human finite element model

Although the safety performance of guardrail end terminals is tested using crash tests in the U.S., occupant injury risks are evaluated based on the flail-space model. This approach developed in the early 1980s neglects the influence of safety features (e.g. seatbelt, airbags, etc.) installed in late model vehicles. In this study, a vehicle (sedan, 1100 kg), a guardrail end terminal (ET-Plus) and a human body model (Global Human Body Model Consortium, GHBMC) were integrated to simulate car-to-end terminal crashes. Five velocities, two offsets, and two angles were used as pre-impact conditions. In all the 20 simulations, kinematics and kinetic data were recorded in GHBMC and vehicle models to calculate the GHBMC injury probabilities and vehicle-based injury metrics, correspondingly. Pre-impact velocity was observed to have the largest effect on the occupant injury measures. All the body-region and full-body injury risks increased with the increasing velocity. Meanwhile, the angles had a larger effect than offset to the change of full-body injury risk (9.1% vs. 0.3%). All the vehicle-based metrics had good correlations to full-body injury probabilities. Occupant Impact Velocity (OIVx), Acceleration Severity Index (ASI), and Theoretical Head Impact Velocity (THIV) had a good correlation to chest, thigh, upper tibia, and lower tibia injuries. All the other correlations (e.g. brain/head injuries) were not statistically significant. The results pointed out that more vehicle-based metrics (ASI and THIV) could help improve the predictability in terms of occupant injury risks in the tests. Numerical methodology could be used to assess head and brain injury probabilities, which were not predictable by any vehicle-based metrics.

Modulation of circulating free testosterone fraction by testosterone, dihydrotestosterone, and estradiol during testosterone replacement therapy.

Testosterone, estradiol, and dihydrotestosterone share common ligand binding sites on sex hormone binding globulin and albumin. It is unknown whether and how changes in testosterone, dihydrotestosterone, and estradiol concentrations during testosterone replacement therapy affect free testosterone fraction. To determine the effect of changes in testosterone, dihydrotestosterone, and estradiol concentrations on free testosterone fraction during testosterone replacement therapy of men with hypogonadism. Using data from the Testosterone Trials, we assessed the association of changes in total testosterone, estradiol, and dihydrotestosterone concentrations over 12 months of testosterone replacement therapy with changes in free testosterone fraction, measured using equilibrium dialysis. We used random forests to evaluate the associations of predicted mean changes in free testosterone fraction with changes in circulating concentrations of each hormone at low, mean, or high change in the other two hormones. Testosterone replacement therapy not only increased total testosterone, dihydrotestosterone, estradiol, and free testosterone concentrations, but also the percent free testosterone, even though sex hormone binding globulin levels did not change. The predicted changes in free testosterone fraction during testosterone replacement therapy exhibited a non-linear relationship with changes in each of total testosterone, dihydrotestosterone, and estradiol concentrations. Greater increases in testosterone, dihydrotestosterone, and estradiol levels during testosterone replacement therapy were each associated with higher model-predicted percent free testosterone. Substantially smaller changes in molar concentrations of estradiol and dihydrotestosterone had a greater effect on percent free testosterone than those in testosterone. During testosterone replacement therapy of men with hypogonadism, changes in testosterone, dihydrotestosterone, and estradiol concentrations each altered percent free testosterone non-linearly. Small changes in estradiol concentrations exerted much larger effect on the free testosterone fraction than testosterone and dihydrotestosterone, suggesting complex interactions of the three hormones with the binding proteins. Assessment of changes in free testosterone during testosterone replacement therapy should include consideration of changes in all three hormones.

Responsiveness and clinically important differences of the Western Ontario Rotator Cuff (WORC) Index in surgical and non-surgical treatment groups with different follow-up periods: A systematic review and meta-analysis

Background This study reviews and meta-analyzes the responsiveness and minimal clinically important difference (MCID) of the Western Ontario Rotator Cuff (WORC) Index for various patient populations and treatment durations. Methods A comprehensive search in PubMed, Embase, Web of Science, and CINAHL identified studies on the responsiveness or MCID of the WORC in shoulder conditions. Two authors independently screened articles. Study quality was appraised using COSMIN and GRADE guidelines. Responsiveness was evaluated using anchor-based MCID and distribution-based standardized mean differences (SMDs) computed with Hedges’ g. A random-effect model addressed study variability, and heterogeneity was assessed with the chi-squared test and I² statistic. Results The 12 studies yielded high-quality evidence supporting the WORC's responsiveness. A meta-analysis of 1326 observations revealed a significant overall effect size (SMD) of 0.91 (95% CI: 0.56 to 1.26; p &lt; 0.0001), with high heterogeneity ( I² = 91.2%). Subgroup analyses showed larger effect sizes for long-term follow-ups (SMD = 1.28) and surgical treatments (SMD = 1.14). The average MCID was 17 for conservative treatments within six months, 26 for surgical procedures, and 29 for follow-ups over six months. Conclusion The WORC measures improvements in rotator cuff conditions, with varying MCID values for different treatments and durations.

Genome-wide discovery for biomarkers using quantile regression at biobank scale

Genome-wide association studies (GWAS) for biomarkers important for clinical phenotypes can lead to clinically relevant discoveries. Conventional GWAS for quantitative traits are based on simplified regression models modeling the conditional mean of a phenotype as a linear function of genotype. We draw attention here to an alternative, lesser known approach, namely quantile regression that naturally extends linear regression to the analysis of the entire conditional distribution of a phenotype of interest. Quantile regression can be applied efficiently at biobank scale, while having some unique advantages such as (1) identifying variants with heterogeneous effects across quantiles of the phenotype distribution; (2) accommodating a wide range of phenotype distributions including non-normal distributions, with invariance of results to trait transformations; and (3) providing more detailed information about genotype-phenotype associations even for those associations identified by conventional GWAS. We show in simulations that quantile regression is powerful across both homogeneous and various heterogeneous models. Applications to 39 quantitative traits in the UK Biobank demonstrate that quantile regression can be a helpful complement to linear regression in GWAS and can identify variants with larger effects on high-risk subgroups of individuals but with lower or no contribution overall.

State Policies Regulating Firearms and Changes in Firearm Mortality

Despite high social and public health costs of firearm violence in the United States, the effects of many policies designed to reduce firearm mortality remain uncertain. To estimate the individual and joint effect sizes of state firearm policies on firearm-related mortality. In this comparative effectiveness study, bayesian methods were used to model panel data of annual, state-level mortality rates (1979-2019) for all US firearm decedents, with analyses conducted in October 2023. Six classes of firearms policies: background checks, minimum age, waiting periods, child access, concealed carry, and stand-your-ground laws. Primary outcomes (total firearm deaths, firearm homicide deaths, and firearm suicide deaths) were assessed using the National Vital Statistics System. Bayesian estimation was used to estimate the partial association of changes in firearms policies with subsequent changes in firearm mortality. The estimated effect sizes of individual policies 5 or more years after implementation were generally small in magnitude and had considerable uncertainty. The policy class with the highest probability of reducing firearm deaths was child-access prevention laws, estimated to reduce overall firearm mortality by 6% (80% credible interval [CrI], -2% to -9%). The policy class with the highest probability of increasing firearm deaths was stand-your-ground laws, estimated to increase firearm homicides by 6% (80% CrI, 0% to 13% increase). Estimates of association of implementing multiple firearm restrictions with subsequent changes in firearm mortality yielded larger effect sizes. Moving from the most permissive to most restrictive set of firearm policies was associated with an estimated 20% reduction in firearm deaths (80% CrI, 10% to 28% reduction), with a 0.99 probability of any reductions in firearm death rates. In this comparative effectiveness study of state firearm policies, the joint effect estimates of combinations of firearm laws were calculated, showing that restrictive firearm policies were associated with substantial reductions in firearm mortality. Although policymakers would benefit from knowing the effects of individual policies, the estimated changes in firearm mortality following implementation of individual policies were often small and uncertain.

Protocol for a randomised controlled unblinded feasibility trial of HD-DRUM: a rhythmic movement training application for cognitive and motor symptoms in people with Huntington’s disease

IntroductionHuntington’s disease (HD) is an inherited neurodegenerative disease causing progressive cognitive and motor decline, largely due to basal ganglia (BG) atrophy. Rhythmic training offers promise as therapy to counteract BG-regulated...

Automatic imitation is modulated by stimulus clarity but not by animacy

Observing actions evokes an automatic imitative response that activates mechanisms required to execute these actions. Automatic imitation is measured using the Stimulus Response Compatibility (SRC) task, which presents participants with compatible and incompatible prompt-distractor pairs. Automatic imitation, or the compatibility effect, is the difference in response times (RTs) between incompatible and compatible trials. Past results suggest that an action’s animacy affects automatic imitation: human-produced actions evoke larger effects than computer-generated actions. However, it appears that animacy effects occur mostly when non-human stimuli are less complex or less clear. Theoretical accounts make conflicting predictions regarding both stimulus manipulations. We conducted two SRC experiments that presented participants with an animacy manipulation (human and computer-generated stimuli, Experiment 1) and a clarity manipulation (stimuli with varying visual clarity using Gaussian blurring, Experiments 1 and 2) to tease apart effect of these manipulations. Participants in Experiment 1 responded slower for incompatible than for compatible trials, showing a compatibility effect. Experiment 1 found a null effect of animacy, but stimuli with lower visual clarity evoked smaller compatibility effects. Experiment 2 modulated clarity in five steps and reports decreasing compatibility effects for stimuli with lower clarity. Clarity, but not animacy, therefore affected automatic imitation, and theoretical implications and future directions are considered.

Trigger thresholds and their dynamics of vegetation production loss under different atmospheric and soil drought conditions

Many evidences have shown that both atmospheric and soil droughts can constrain vegetation growth and further threaten its ability to sequester carbon. However, the trigger thresholds of vegetation production loss under different atmospheric and soil drought conditions are still unknown. In this study, we proposed a Copula and Bayesian equations-based framework to investigate trigger thresholds of various vegetation production losses under different atmospheric and soil drought conditions. The trigger thresholds dynamics and their possible causes were also investigated. To achieve this goal, we first simulated the gross primary production, soil moisture, and vapor pressure deficit over China during 1961–2018 using an individual-based, spatially explicit dynamic global vegetation model. The main drivers of the dynamic change in trigger thresholds were then explored by Random Forest model. We found that soil drought caused greater stress on gross primary production loss than atmospheric drought, with a larger impact area and higher probability of damage. In terms of spatial distribution, the risk probability of gross primary production loss was higher in eastern China than in western China, and the drought trigger threshold was also smaller in eastern China. In addition, the trigger thresholds for atmospheric and soil drought in most regions exhibited a decreasing trend from 1961 to 2018, while the CO2 fertilization enhanced the drought tolerance of vegetation. The reduction in CO2 fertilization effect slowed down the downward trend of trigger threshold for soil drought, while the increase in temperature exacerbated the downward trend of trigger threshold for atmospheric drought. This study highlighted the larger effect of soil drought on vegetation production loss than atmospheric drought and implied that climate change can modulate the trigger threshold of vegetation production losses under drought conditions. These findings provide scientific guidance for managing the increasing risk of drought on vegetation and optimizing watershed water allocation.

A Quantitative Systematic Literature Review of Combination Punishment Literature: Progress Over the Last Decade.

This review evaluated single-case experimental design research that examined challenging behavior interventions utilizing punishment elements. Thirty articles published between 2013 and 2022 met study inclusion criteria. Study quality was also assessed. Through multiple levels of analysis (e.g., descriptive statistics, non-parametric statistics), we examined (a) participant and study trends, (b) differential outcomes related to temporal reinforcement approaches (antecedent, consequent, or combined reinforcement) applied alongside punishment element(s), (c) differential outcomes related to the punishment type (negative, positive) applied alongside reinforcement, and (d) effect sizes associated with study rigor across peer-reviewed and gray literature. Our results may tentatively suggest that, for certain situations, concurrently applying punishment with antecedent reinforcement approaches may coincide with significantly larger effect sizes compared to combined temporal reinforcement approaches, while positive punishment applied concurrently with reinforcement may coincide with larger but non-significant intervention effects. Most featured articles met rigor criteria, but larger effects were seen in peer-reviewed literature.

Two-dimensional oxygen-diffusion modelling for FLASH proton therapy with pencil beam scanning—Impact of diffusive tissue properties, dose, dose rate and scan patterns

Objective. Oxygen depletion is generally believed to play an important role in the FLASH effect—a differential reduction of the radiosensitivity of healthy tissues, relative to that of the tumour under ultra-high dose-rate (UHDR) irradiation conditions. In proton therapy (PT) with pencil-beam scanning (PBS), the deposition of dose, and, hence, the degree of (radiolytic) oxygen depletion varies both spatially and temporally. Therefore, the resulting oxygen concentration and the healthy-tissue sparing effect through radiation-induced hypoxia varies both spatially and temporally as well. Approach. We propose and numerically solve a physical oxygen diffusion model to study these effects and their dependence on tissue parameters and the scan pattern in pencil-beam delivery. Since current clinical FLASH PT (FLASH-PT) is based on 250 MeV shoot-through (transmission) beams, for which dose and dose rate (DR) hardly vary with depth compared to the variation transverse to the beam axis, we focus on the two-dimensional case. We numerically integrate the model to obtain the oxygen concentration in each voxel as a function of time and extract voxel-based and spatially and temporarily integrated metrics for oxygen (FLASH) enhanced dose. Furthermore, we evaluate the impact on oxygen enhancement of standard pencil-beam delivery patterns and patterns that were optimised on dose-rate. Our model can contribute to the identification of tissue properties and pencil-beam delivery parameters that are critical for FLASH-PT and it may be used for the optimisation of FLASH-PT treatment plans and their delivery. Main results. (i) the diffusive properties of oxygen are critical for the steady state concentration and therefore the FLASH effect, even more so in two dimensions when compared to one dimension. (ii) The FLASH effect through oxygen depletion depends primarily on dose and less on other parameters. (iii) At a fixed fraction dose there is a slight dependence on DR. (iv) Scan patterns optimised on DR slightly increase the oxygen induced FLASH effect. Significance. To our best knowledge, this is the first study assessing the impact of scan-pattern optimization (SPO) in FLASH-PT with PBS on a biological FLASH model. While the observed impact of SPO is relatively small, a larger effect is expected for larger target volumes. A better understanding of the FLASH effect and the role of oxygen (depletion) therein is essential for the further development of FLASH-PT with PBS, and SPO.

Asymmetric Effects of Development Finance Institutions Funding (DFIs) on Investment in Zimbabwe: A Futuristic Perspective

Introduction - This study aimed to explore the anticipated asymmetric effects of developmental finance institutions (DFIs) funding on investment in Zimbabwe. Given the volatile nature of development finance, Zimbabwe has faced challenges in effectively mobilizing aid, often struggling to persuade donors due to government spending plans and political factors. The research sought to investigate the potential asymmetrical linkages between DFIs funding and investment in Zimbabwe. Methodology: Model and Variables - To examine the futuristic asymmetric relationship between DFIs funding and investment in the Zimbabwean economy, a non-linear NARDL modelling approach will be employed. This methodology will estimate the projected non-linear co-integrating association between positive and negative shocks to DFIs funding and investment. The data set consisted of projected annual macroeconomic variables for Zimbabwe obtained from world bank and IMF. Results - In the short run, it was found that both positive and negative shocks influence future investment, with negative shocks expected to have a larger effect. These negative shocks arise from economic downturns or external shocks, while positive shocks could result from increased funding or favourable policy changes. In the long run, it was found that positive shocks to DFIs funding have a positive impact on investment, leading to increased economic growth and development. Conclusion and Recommendations - Based on the results, DFIs funding should exhibit an asymmetric relationship with investment in Zimbabwe. It is crucial for the government of Zimbabwe to proactively plan for these anticipated asymmetric effects and develop strategies to maximize the benefits of DFIs funding. By implementing the recommendations, Zimbabwe can be able to ensure a more favourable environment for future DFIs funding, fostering sustainable investment and economic growth.

Effects of Remolding Water Content and Compaction Degree on the Dynamic Behavior of Compacted Clay Soils

The stable and safe operation of highway/railway lines is largely dependent on the dynamic behavior of subgrade fillings. Clay soils are widely used in subgrade construction and are compacted at different remolding water contents and compaction degrees, depending on the field conditions. As a result, their dynamic behaviors may vary, which have not been fully investigated until now. To clarify this aspect, a series of cyclic triaxial tests were carried out in this study with three typical remolding water contents (w = 19%, 24%, and 29%), corresponding to the optimum water content as well as its dry and wet sides, and two compaction degrees (Dc = 0.8 and 0.9), which were selected according to the field-testing data. Scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP) tests were also conducted on typical samples to investigate the corresponding soil fabric variations. The findings indicate the following: (a) The soil fabric at the optimum remolding water content and its dry side was characterized by a clay aggregate assembly with a bimodal pore size distribution. In contrast, the soil fabric on the wet side of the optimum water content consisted of dispersed clay particles with a unimodal pore size distribution. (b) As the compaction degree increased, to ensure the optimum water content and its dry side, large pores were compressed to make them smaller, while small pores remained unchanged. Comparatively, all the pores on the wet side were compressed to make them smaller. (c) For each compaction degree, as the remolding water content increased, a non-monotonic changing pattern was identified for both the permanent strain and resilient modulus; the permanent strain first decreased and then increased, while, for the resilient modulus, an initial increasing trend and then a decreasing trend were identified. In addition, a larger changing rate of the permanent strain (resilient modulus) was observed on the dry side, indicating a larger effect of the remolding water content. (d) For each remolding water content, as the compaction degree increased, the permanent strain exhibited a decreasing trend, but an increasing trend was identified for the resilient modulus. Moreover, the rate of change in the permanent strain (resilient modulus) on the dry side of the optimum water content was larger than that on the wet side. In contrast, the minimum rate of change was identified at the optimum water content. The obtained results allowed for the effects of the remolding water content and compaction degree on the dynamic behavior to be analyzed, and they helped guide the construction and maintenance of the subgrade.