Regression Coefficients Research Articles

Prediction of resilience based on parenting and coping strategies in patients with psychosomatic disorders.

The present research was conducted aiming at predicting the resilience based on parenting and coping strategies in patients with psychosomatic disorders. The statistical population of the present research consisted of all patients suffering from psychosomatic disorders who had visited medical clinics related to Medical Sciences (University) of Arak County in 2019-20. The statistical sample includes 347 women, aged 18 to 55 years-old, who were selected by available sampling. Data collection tool included Young parenting, Moss and Billings coping strategies questionnaire and Connor and Davidson resilience questionnaire. Pearson's correlation coefficient and multiple regression analysis were used to analyze the data. The findings showed that parenting (dependency, preoccupied/untransformed self) have a negative and significant relationship with resilience. Coping strategies focused on emotion, coping focused on physical restraint or physicalization of problems have a negative and significant relationship with resilience and have a positive and significant relationship with coping strategies focused on problem-solving and coping focused on cognitive evaluation. According to the findings, it can be concluded that it is possible to pave the way for increasing resilience and preventing the development of psychosomatic disorders by creating suitable conditions during the childhood, improving parent-child relationships, and by strengthening coping strategies focused on problem-solving and coping focused on cognitive evaluation.

Cardiovascular Risk Estimation Is Suboptimal in People With HIV.

Established cardiovascular disease (CVD) risk prediction functions may not accurately predict CVD risk in people with HIV. We assessed the performance of 3 CVD risk prediction functions in 2 HIV cohorts. CVD risk scores were calculated in the Mass General Brigham and Kaiser Permanente Northern California HIV cohorts, using the American College of Cardiology/American Heart Association atherosclerotic CVD function, the FHS (Framingham Heart Study) hard coronary heart disease function and the Framingham Heart Study hard CVD function. Outcomes were myocardial infarction or coronary death for FHS hard coronary heart disease function; and myocardial infarction, stroke, or coronary death for American College of Cardiology/American Heart Association and FHS hard CVD function. We calculated regression coefficients and assessed discrimination and calibration by sex; predicted to observed risk of outcome was also compared. In the combined cohort of 9412, 158 (1.7%) had a coronary heart disease event, and 309 (3.3%) had a CVD event. Among women, CVD risk was generally underestimated by all 3 risk functions. Among men, CVD risk was underestimated by the American College of Cardiology/American Heart Association and FHS hard CVD function, but overestimated by the FHS hard coronary heart disease function. Calibration was poor for women using the FHS hard CVD function and for men using all functions. Discrimination in all functions was good for women (c-statistics ranging from 0.78 to 0.90) and moderate for men (c-statistics ranging from 0.71 to 0.72). Established CVD risk prediction functions generally underestimate risk in people with HIV. Differences in model performance by sex underscore the need for both HIV-specific and sex-specific functions. Development of CVD risk prediction models tailored to HIV will enhance care for aging people with HIV.

Association between first-trimester uterine artery Doppler and crown-rump length with growth discordance: does it make a difference.

The purpose of this study was to investigate the association between first-trimester uterine artery pulsatility index (UtA-PI) and crown-rump length discordance (CRLD) with growth discordance (GD) in twins and analyze the influence of chorionicity in these parameters. This retrospective analysis integrated data from the twin pregnancy database of Centro Hospitalar São João (2019-2023), including 184 fetuses, with 19 monochorionic and 73 dichorionic gestations. To determine the association between UtA-PI and CRLD with GD, correlation analyses were computed and linear regression models were carried out. Separate analyses were conducted for each type of placentation. Logistic regression analysis was carried out to determine the association of mean UtA-PI and CRLD with severe GD, defined as discordance≥25 %. GD≥25 % was detected in 9.80 % of pregnancies. A statistically significant difference between monochorionic and dichorionic gestations was found in crown-rump length (p=0.009), CRLD (p<0.001) and birth weight (p=0.025), but not in mean UtA-PI (p=0.853) or GD (p=0.556). Mean UtA-PI was significantly higher in discordant than in concordant pairs (p<0.001), but that association was not seen in CRLD (p=0.931). Mean UtA-PI and GD were correlated by the regression line "GD=3.844×UtA-PI+6.638", with R2 0.027. CRLD and GD were correlated by the regression line "GD=0.280×CRLD+10.79", with R2 0.010. Mean UtA-PI, but not CRLD, was significantly associated with severe GD (odds ratio, 22.753; p=0.002). Mean UtA-PI, but not CRLD, is associated with GD. The prevalence of severe GD increases significantly with increasing mean UtA-PI.

Patient experiences with outpatient opioid use disorder treatment before and during COVID-19: results from a survey of Medicaid members.

Background: Payers are increasingly interested in quality improvement for opioid use disorder (OUD) treatment, including incorporating patient experiences. Medicaid is the largest payer for OUD treatment, yet we know little about the treatment benefits Medicaid members report, how these vary across members, or changed with the COVID-19 pandemic.Objective: To examine Medicaid members' report of outpatient treatment benefits, employment, and housing outcomes before and during the pandemic.Methods: A representative sample of 1,032 Virginia Medicaid members (52% women) receiving OUD treatment completed a survey of treatment benefits, health status and social needs. A reported treatment benefit index was created based on seven self-reported items. Multivariable linear regression models, pooled and stratified by time (pre-COVID-19/COVID-19), assessed member characteristics associated with reported treatment benefit, employment and housing outcomes.Results: Members reported strong treatment benefit (mean: 21.8 [SD: 5.9] out of 28 points) and improvements in employment (2.4 [1.3] out of 5) and housing (2.8 [1.2] out of 5). After adjustment, mental distress (regression coefficient: -3.00 [95% CI:-3.97;-2.03]), polysubstance use (-1.25 [-1.99;-0.51]), and food insecurity (-1.00 [-1.71;-0.29]), were associated with decreased benefits from treatment. During COVID-19, justice-involved individuals reported decreased benefits (-2.17 [-3.54; -0.80]) compared to before the pandemic (-0.09 [-1.4-;1.24] p < .05).Conclusions: Medicaid members receiving outpatient OUD treatment reported positive treatment benefits, and housing and employment outcomes. However, those with comorbid health and social conditions often benefited the least. As payers move toward quality improvement and value-based purchasing initiatives, collecting and integrating patient reported outcomes into quality metrics is critical.

Identification of DprE1 inhibitors for tuberculosis through integrated in-silico approaches.

Decaprenylphosphoryl-β-D-ribose-2'-epimerase (DprE1), a crucial enzyme in the process of arabinogalactan and lipoarabinomannan biosynthesis, has become the target of choice for anti-TB drug discovery in the recent past. The current study aims to find the potential DprE1 inhibitors through in-silico approaches. Here, we built the pharmacophore and 3D-QSAR model using the reported 40 azaindole derivatives of DprE1 inhibitors. The best pharmacophore hypothesis (ADRRR_1) was employed for the virtual screening of the chEMBL database. To identify prospective hits, molecules with good phase scores (> 2.000) were further evaluated by molecular docking studies for their ability to bind to the DprE1 enzyme (PDB: 4KW5). Based on their binding affinities (< -9.0kcal/mole), the best hits were subjected to the calculation of free-binding energies (Prime/MM-GBSA), pharmacokinetic, and druglikeness evaluations. The top 10 hits retrieved from these results were selected to predict their inhibitory activities via the developed 3D-QSAR model with a regression coefficient (R2) value of 0.9608 and predictive coefficient (Q2) value of 0.7313. The induced fit docking (IFD) studies and in-silico prediction of anti-TB sensitivity for these top 10 hits were also implemented. Molecular dynamics simulations (MDS) were performed for the top 5 hit molecules for 200ns to check the stability of the hits with DprE1. Based on their conformational stability throughout the 200ns simulation, hit 2 (chEMBL_SDF:357100) was identified as the best hit against DprE1 with an accepted safety profile. The MD results were also in accordance with the docking score, MM-GBSA value, and 3D-QSAR predicted activity. The hit 2 molecule, (N-(3-((2-(((1r,4r)-4-(dimethylamino)cyclohexyl)amino)-9-isopropyl-9H-purin-6-yl)amino)phenyl)acrylamide) could serve as a lead for the discovery of a novel DprE1 inhibiting anti-TB drug.

Development of a nomogram for identifying periodontitis cases in Denmark.

Although self-reported health outcomes are of importance, attempts to validate a clinical applicable instrument (e.g., nomogram) combining sociodemographic and self-reported information on periodontitis have yet to be performed to identify periodontitis cases. Clinical and self-reported periodontitis, along with sociodemographic data, were collected from 197 adults. Akaike information criterion models were developed to identify periodontitis, and nomograms developed based on its regression coefficients. The discriminatory capability was evaluated by receiver-operating characteristic curves. Decision curve analysis was performed. Smoking [OR 3.69 (95%CI 1.89, 7.21)], poor/fair self-rated oral health [OR 6.62 (95%CI 3.23, 13.56)], previous periodontal treatment [OR 9.47 (95%CI 4.02, 22.25)], and tooth loss [OR 4.96 (95%CI 2.47, 9.97)], determined higher probability of having "Moderate/Severe Periodontitis". Age [OR 1.08 (95%CI 1.05, 1.12)], low educational level [OR 1.65 (95%CI 1.34, 2.23)], poor/fair self-rated oral health [OR 3.57 (95%CI 1.82, 6.99)], and previous periodontal treatment [OR 6.66 (95%CI 2.83, 15.68)] determined higher probability for "Any Periodontitis". Both nomograms showed excellent discriminatory capability (AUC of 0.83 (95%CI 0.75, 0.91) and 0.81 (95% CI 0.74, 0.88), good calibration, and slight overestimation of high risk and underestimation of low risk. Hence, our nomograms could help identify periodontitis among adults in Denmark.

Seasonal and interannual changes (2005-2021) of lake water quality and the implications for sustainable management in a rapidly growing metropolitan region, central China.

A series of restoration measures such as municipal wastewater treatment and aquaculture closures have been implemented in Wuhan City during recent years. In order to explore the impact of restoration measures and climate change on lake water quality, long-term (2005-2021) water quality data of 47 lakes were explored to reveal spatiotemporal changes in lake water quality. Percentages of polluted lakes were calculated according to six water-quality parameters, including total phosphorus (TP), ammonia nitrogen (NH3-N), chemical oxygen demand (COD), biological oxygen demand (BOD), chemical oxygen demand using potassium permanganate as oxidant (CODMn) and petroleum contamination (PET), at interannual and monthly timescales. At the interannual timescale, percentages of COD, BOD, CODMn and PET pollution decreased significantly, suggestive of water quality improvement during recent years. At the monthly timescale, low percentages of NH3-N and BOD pollution in March 2020 probably resulted from the sharp reduction in human activities during the COVID-19 lockdown. At the monthly timescale, temperature was positively correlated with percentage of CODMn pollution, but negatively correlated with percentage of NH3-N pollution; precipitation was negatively correlated with percentage of BOD pollution. The similarity of water-quality parameters generally decreased with an increase in geographical distance between each pair of lakes. However, the regression coefficients between the similarity of lake water quality and the geographical distance decreased with time, probably resulting from enhanced similarity of water quality parameters among all lakes with rapid urbanization. Our results highlight the importance of active restoration measures for sustainable management of lakes in Wuhan City, as well as in similar developing regions.

Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation.

A novel approach based on supervised machine-learning is proposed to predict the solubility of drugs and drug-like molecules in mixtures of organic solvents. Similar to quantitative structure-property relationship (QSPR) models, different solvent types are identified by molecular descriptors, which, in this study, are considered as UNIFAC subgroups. To overcome the potential lack of UNIFAC subgroups for the complex Active Pharmaceutical Ingredients (APIs) currently developed in the pharmaceutical industry, the API molecule is considered as a unique entity in the proposed modelling approach. Therefore, API solubility is predicted as a function of temperature, functional subgroups of the solvents and composition of the solvent mixture; in turn, regressors' correlation is handled through Partial Least-Squares (PLS) regression. The method is developed and tested with experimental data of a real API and 14 organic solvents that are industrially employed for crystallisation. Solubility predictions are accurate and precise for single solvents, binary mixtures and ternary mixtures of organic solvents at different compositions and temperatures, with a determination coefficient R2 ≥ 0.90. To further test the applicability of the model, the proposed approach is applied to 9 literature organic solubility datasets of drugs and drug-like compounds and compared to benchmark solubility models in the literature. Results show that the proposed approach provides satisfactory predictions: the majority of validation and calibration data have R2 = 0.95-0.99; the ratio between RMSE (root mean squared error) of the proposed method and the range of measured solubility values is from 1 to 3 orders of magnitude smaller than the RMSE ratio obtained by the benchmark models.

Alien range size, habitat breadth, origin location, and domestication of alien species matter to their impact risks.

Invasive alien species are a major driver of biodiversity loss. Currently, the process of biological invasions is experiencing a constant acceleration, foreshadowing a future increase in the threat posed by invasive alien species to global biodiversity. Therefore, it is necessary to assess the impact risks of invasive alien species and related factors. Here, we constructed a dataset of negative environmental impact events to evaluate the impact risks of alien species. We collected information on 1071 established alien terrestrial vertebrates and then gathered negative environmental impacts for 108 of those species. Generalized linear mixed-effects model and phylogenetic generalized least-squares regression model were used to examine the characteristic (including life-history traits, characteristics related to distribution, and introduction event characteristics) correlates of species' impact risks at the global scale for 108 established alien terrestrial vertebrates (mammals, birds, reptiles and amphibians). Our results showed that a total of 3158 negative environmental impacts were reported for 108 harmful species across 71 countries worldwide. Factors associated with impact risks varied slightly among taxa, but alien range size, habitat breadth, origin location, and domestication were significantly correlated with impact risks. Our study aims to identify the characteristics of alien species with high-impact risks to facilitate urgent assessment of alien species and to protect the local ecological environment and biodiversity.

Calibration of citrus intake assessed by food frequency questionnaires using urinary proline betaine in an observational study setting.

Whether observational study can be employed to establish calibration equations for self-reported dietary intake using food biomarkers is unknown. This study aims to demonstrate the feasibility of obtaining calibration equations based on food biomarkers and 7-day diet records (7DDRs) to correct measurement errors of food frequency questionnaires (FFQ) in an observational study setting. The study population consisted of 669 male and 749 female from the Women and Men's Lifestyle Validation Study. In the training set, the biomarker-predicted intake derived by regressing 7DDR-assessed intake on urinary proline betaine level was regressed on the FFQ-assessed intake to obtain the calibration equations. The regression coefficients were applied to the test set to calculate the calibrated FFQ intake. We examined total citrus as well as individual citrus fruits/beverages. Urinary proline betaine was moderately correlated with orange juice intake [Pearson correlation (r): 0.53 for 7DDR and 0.48 for FFQ] but only weakly correlated with intakes of orange (r: 0.12 for 7DDR and 0.15 for FFQ) and grapefruit (r: 0.14 for 7DDR and 0.09 for FFQ). The FFQ-assessed citrus intake was systematically higher than the 7DDR-assessed intake, and after calibrations the mean calibrated FFQ measurements were almost identical to 7DDR assessments. In the test set, the mean intake levels from 7DDRs, FFQ, and calibrated FFQ were 62.5, 75.3, 63.2 g/d for total citrus, 41.6, 42.5, 41.9 g/d for orange juice, 11.8, 24.3, 12.3 g/d for oranges, and 8.3, 9.3, 8.6 g/d for grapefruit. We observed larger differences between calibrated FFQ and 7DDR assessments at the extreme ends of intake, although on average good agreements were observed for all citrus except grapefruit. Our two-step calibration approach has the potential to be adapted to correct systematic measurement error for other foods/nutrients with established food biomarkers in a cost-effective way.

Minorities' Diminished Psychedelic Returns: Income and Educations Impact on Whites, Blacks, Hispanics, and Asians.

Growing evidence suggests that the race and ethnic minority population may experience fewer protective effects of psychedelics on mental health. The minority diminished psychedelic returns theory proposes that racism, manifested in socioeconomic inequality, could partially account for the smaller health gains observed. Therefore, it is important to investigate whether socioeconomic inequality reduces the impact of psychedelics on health outcomes for minority populations. Additionally, despite having higher socioeconomic status, it remains unclear whether psychedelic use among minorities is associated with the same level of health benefits as observed in non-Hispanic whites. This study utilizes data from the National Survey of Drug Use (N = 2008 to 2019), which involved 458,372 participants aged 18 and above. The objective is to examine the impact of various psychedelics (MDMA, psilocybin, DMT, ayahuasca, peyote/mescaline, and LSD), as well as lifetime classic psychedelics use (LCPU), on psychological distress in the past month, taking into account socioeconomic factors (education level and family income) and race/ethnic differences (White, Black, Hispanic, and Asian). The analysis employed a series of nested ordinary least-square regression models using Stata 18. The results indicate that, after controlling for socioeconomic status, there is no association between Black and Hispanic psychedelic use and distress. However, white psychedelic use remains associated with lower levels of distress. Additionally, despite having higher levels of education and income, psychedelic use among minority groups does not appear to be linked to reduced stress. In fact, for Asians with higher education and income, certain psychedelic use is associated with increased distress.

The impact of COVID-19 pandemic and psychological resilience among undergraduate medical students

Pandemic always has negative impact on students in higher education. Especially when learning emphasises on hands-on experience. Due to movement The social distancing and online teaching during COVID-19 pandemic had impact on student learning, We aimed to assess the prevalence of anxiety, depression and resilience of medical students to COVID-19 related worries during pandemic.We conducted a cross-sectional study among 1200 undergraduate medical students. The survey questionnaires has six parts; demography information, modified version of COVID-19 related worries, the impact of COVID-19 in teaching and learning, resilience using the Connor-Davidson Resilience Scale, generalized anxiety disorder 7-item (GAD-7) scale &amp; lastly patient health questionnaire-2 (PHQ-2). The Cronbach’s alpha coefficient of GAD-7 was 0.930 and PHQ-2 was 0.811. We used multiple linear regression to determine the association between resilience and anxiety, depression, and COVID-19 related worries. All the statistical tests were two-sided, and the level of significance was set at 0.05. Most of the students showed a moderate amount of COVID-19 related worries about contracting, dying or unintentionally infecting others, having financial burden following pandemic, affecting their study. Around 32.8% of the medical students had minimal anxiety while 35.7% had mild, 14.1% had moderate and 17.4% had severe anxiety disorder. The mean resilience score was 23.1 (SD 7.3). There was statistically significant negative association between resilience and anxiety with regression coefficient of -0.36 (95% confidence interval -0.43 to -0.29), P&amp;#60;0.001. Female students had significantly higher anxiety (regression coefficient 2.03; 95% confidence interval 0.92 to 3.15; P&amp;#60;0.001) and COVID-19 related worries (regression coefficient 2.91; 95% confidence interval 1.48 to 4.35; P&amp;#60;0.001) than male students.A significant proportion of medical students experienced anxiety and depressive symptoms, with varying degrees of severity. We emphasize the need for targeted support and interventions to address anxiety, depression, and promote resilience.

Sensitive Detection of OCS Using Thermal Conversion Combined with Spectral Reconstruction Filtering Differential Optical Absorption Spectroscopy.

Carbonyl sulfide (OCS) is a toxic gas produced during industrial processes that poses risks to both human health and industrial equipment. Therefore, detecting OCS concentrations plays a crucial role in early hazard warning. This paper presents an online system for detecting OCS at the ppb level using thermal conversion and spectral reconstruction filtering differential optical absorption spectroscopy (SRF-DOAS). First, OCS, which is not suitable for DOAS due to its weak absorption characteristics, is completely transformed into SO2 with strong absorption characteristics under high-temperature conditions. Then, the spectral reconstruction filtering method (SRF) is proposed to eliminate the noise and interference. The core idea of the method is to arrange the spectrum according to the spectral intensity from small to large rather than wavelength, reconstructing the spectrum into a new spectrum with linear characteristics. The reconstructed spectrum can remove noise and interference by linear fitting and retain the characteristic of SO2 oscillation absorption. Next, we demonstrate the ability of the reconstructed spectral method to remove noise and interference by comparing the spectra of the inverse-reconstructed gas mixture and SO2. The relative deviation of 0.88% at 100 ppb and detection limit of 7.26 ppb*m for OCS were obtained using the SRF-DOAS method. Finally, the reliability of the system was confirmed by measurements of OCS concentrations in mixture gas of OCS and air, as well as in human exhaled breath.

Enhancing ESG learning outcomes through gamification: An experimental study.

This study investigates the effectiveness of gamification in enhancing learning outcomes in Environmental, Social, and Governance (ESG) education. Employing a cluster randomized experiment, the research involved 22 classes from four universities, divided into gamified and traditional teaching groups. The gamified group engaged with ESG concepts through interactive, game-like elements, while the control group followed standard educational practices. The study aimed to determine whether gamification could improve ESG course effectiveness and enhance Psychological Ownership and Perceived Importance, thereby influencing learning outcomes. Data collected through post-experiment surveys were analyzed using multiple linear regression and Structural Equation Modeling (SEM). Results indicated that students in the gamified group performed significantly better in ESG exams compared to the control group, demonstrating the effectiveness of gamification in enhancing academic achievement. The SEM analysis further revealed that gamification positively impacted Psychological Ownership and Perceived Importance, which in turn significantly improved academic performance. These findings suggest that incorporating gamification in ESG education can effectively engage students and deepen their understanding of complex sustainability issues. This study contributes to the field by highlighting the potential of gamification as a transformative tool in higher education, particularly in teaching abstract and multifaceted subjects like ESG.

고등학생의 외·내향성과 자아존중감과의 관련성

Objectives This study investigated the association between extrovertㆍintrovert tendency and self-esteem by gender among high school students [n=340]. Methods Extrovertㆍintrovert tendency was measured by using MBTI (Meyers-Briggs Type Indicator) and then, the association between extrovertㆍintrovert tendency and self-esteem tested by pearson coefficient and simple regression analysis among them. Results The result of pearson coefficient value indicated that extrovert tendency affected increasing self-esteem both groups [the boys (-0.251), (p&lt;0.01), the girls (-0.187), (p&lt;0.01)]. The simple regression analysis showed self-esteem increased with extrovert tendency in the boys (B=-0.347), (p&lt;0.01) and the girls (B=-0.245), (p&lt;0.05) as well. Conclusions Self-esteem of high school students showed a association with higher the extrovert tendency. Therefore, we need to find diverse solutions to increase self-esteem through the improvement of extroversion.

Relationship Between Cerebrospinal Fluid Alzheimer's Disease Biomarker Values Measured via Lumipulse Assays and Conventional ELISA: Single-Center Experience and Systematic Review.

Although Lumipulse assays and conventional ELISA are strongly correlated, the precise relationship between their measured values remains undetermined. To determine the relationship between Lumipulse and ELISA measurement values. Patients who underwent cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarker measurements and consented to biobanking between December 2021 and June 2023 were included. The relationship between values measured via Lumipulse assays and conventional ELISA were evaluated by Passing-Bablok analyses for amyloid-β 1-42 (Aβ 42), total tau (t-tau), and phospho-tau 181 (p-tau 181). Studies using both assays were systematically searched for in PubMed and summarized after quality assessment. Regression line slopes and intercepts were 1.41 (1.23 to 1.60) and -77.8 (-198.4 to 44.5) for Aβ 42, 0.94 (0.88 to 1.01) and 98.2 (76.9 to 114.4) for t-tau, and 1.60 (1.43 to 1.75) and -21.1 (-26.9 to -15.6) for p-tau181. Spearman's correlation coefficients were 0.90, 0.95, and 0.95 for Aβ 42, t-tau, and p-tau181, respectively. We identified 13 other studies that included 2,117 patients in total. Aβ 42 slope varied among studies, suggesting inter-lab difference of ELISA. The slope and intercept of t-tau were approximately 1 and 0, respectively, suggesting small proportional and systematic differences. Conversely, the p-tau181 slope was significantly higher than 1, distributed between 1.5-2 in most studies, with intercepts significantly lower than 0, suggesting proportional and systematic differences. We characterized different relationship between measurement values for each biomarker, which may be useful for understanding the differences in CSF biomarker measurement values on different platforms and for future global harmonization.

Caregiver Employees’ Mental Well-Being in Hong Kong

Caregiver Employees’ Mental Well-Being in Hong Kong

OSLD nanoDot characterization for carbon radiotherapy dosimetry

Objective. This study characterized optically-stimulated luminescent dosimeter (OSLD) nanoDots for use in a therapeutic carbon beam using the Imaging and Radiation Oncology Core (IROC) framework for remote output verification. Approach. The absorbed dose correction factors for OSLD (fading, linearity, beam quality, angularity, and depletion), as defined by AAPM TG 191, were characterized for carbon beams. For the various correction factors, the effect of linear energy transfer (LET) was examined by characterizing in both a low and high LET setting. Main results. Fading was not statistically different between reference photons and carbon, nor between low and high LET beams; thus, the standard IROC-defined exponential function could be used to characterize fading. Dose linearity was characterized with a linear fit; while low and high LET carbon linearity was different, these differences were small and could be rolled into the uncertainty budget if using a single linearity correction. A linear fit between beam quality and dose-averaged LET was determined. The OSLD response at various angles of incidence was not statistically different, thus a correction factor need not be applied. There was a difference in depletion between low and high LET irradiations in a primary carbon beam, but this difference was small over the standard five readings. The largest uncertainty associated with the use of OSLDs in carbon was because of the k Q correction factor, with an uncertainty of 6.0%. The overall uncertainty budget was 6.3% for standard irradiation conditions. Significance. OSLD nanoDot response was characterized in a therapeutic carbon beam. The uncertainty was larger than for traditional photon applications. These findings enable the use of OSLDs for carbon absorbed dose measurements, but with less accuracy than conventional OSLD audit programs.

Enhanced radiation use efficiency and grain filling rate as the main drivers of grain yield genetic gains in the CIMMYT elite spring wheat yield trial

Common wheat (Triticum aestivum L.) is a major staple food crop, providing a fifth of food calories and proteins to the world’s human population. Despite the impressive growth in global wheat production in recent decades, further increases in grain yield are required to meet future demands. Here we estimated genetic gain and genotype stability for grain yield (GY) and determined the trait associations that contributed uniquely or in combination to increased GY, through a retrospective analysis of top-performing genotypes selected from the elite spring wheat yield trial (ESWYT) evaluated internationally during a 14-year period (2003 to 2016). Fifty-six ESWYT genotypes and four checks were sown under optimally irrigated conditions in three phenotyping trials during three consecutive growing seasons (2018–2019 to 2020–2021) at Norman E. Borlaug Research Station, Ciudad Obregon, Mexico. The mean GY rose from 6.75 (24th ESWYT) to 7.87 t ha−1 (37th ESWYT), representing a cumulative increase of 1.12 t ha−1. The annual genetic gain for GY was estimated at 0.96% (65 kg ha−1 year−1) accompanied by a positive trend in genotype stability over time. The GY progress was mainly associated with increases in biomass (BM), grain filling rate (GFR), total radiation use efficiency (RUE_total), grain weight per spike (GWS), and reduction in days to heading (DTH), which together explained 95.5% of the GY variation. Regression lines over the years showed significant increases of 0.015 kg m−2 year−1 (p < 0.01), 0.074 g m−2 year−1 (p < 0.05), and 0.017 g MJ−1 year−1 (p < 0.001) for BM, GFR, and RUE_total, respectively. Grain weight per spike exhibited a positive but no significant trend (0.014 g year−1, p = 0.07), whereas a negative tendency for DTH was observed (− 0.43 days year−1, p < 0.001). Analysis of the top ten highest-yielding genotypes revealed differential GY-associated trait contributions, demonstrating that improved GY can be attained through different mechanisms and indicating that no single trait criterion is adopted by CIMMYT breeders for developing new superior lines. We conclude that CIMMYT’s Bread Wheat Breeding Program has continued to deliver adapted and more productive wheat genotypes to National partners worldwide, mainly driven by enhancing RUE_total and GFR and that future yield increases could be achieved by intercrossing genetically diverse top performer genotypes.

Body Height Estimation According to Deciduous Dental Crown Height in a Peruvian Sample of Preschool Children

Body Height Estimation According to Deciduous Dental Crown Height in a Peruvian Sample of Preschool Children