Simple Index Research Articles

Beta Diversity Is Better—Microhabitat Diversity and Multiplet Diversity Offer Novel Insights into Plant Coexistence in Grassland Restoration

Quantifying within-community variability and understanding the related assembly rules are important in developing and assessing grassland restoration. Beta diversity has great potential, revealing mechanisms behind community-level changes in succession. Here, we introduce two simple beta diversity indices: Microhabitat Diversity is the Shannon diversity of patches formed by the locally dominant species, and Multiplet Diversity is the Shannon diversity of subordinate species richness categories detected at a fine scale. Using null models, we tested the biotic filtering effects of dominants on the distribution of subordinates. Based on long-term vegetation monitoring data, we tested the utility of these models in grassland restoration. Sites sown with seed mixture and developing spontaneously were compared and used as test data for exploring the proposed indices. Microhabitat Diversity was larger at spontaneously developing sites, and its local maxima reflected reorganization in the mosaic structure of the community. Species richness categories with zero or one subordinate species were typical in sown grassland, while small 5 cm × 5 cm microsites where 2, 3, or 4 subordinate species co-occured were more frequent in spontaneous succession. Contrary to expectation, a slight convergence of beta diversity measures was revealed after 15 years of succession between passive and active restorations. Microhabitat Diversity and Multiplet Diversity are simple indices that complement existing methods and provide new insights into grassland restoration.

Comparison Between Thermal-Image-Based and Model-Based Indices to Detect the Impact of Soil Drought on Tree Canopy Temperature in Urban Environments

This study aimed to determine whether canopy and air temperature difference (ΔT) as an existing simple normalizing index can be used to detect an increase in canopy temperature induced by soil drought in urban parks, regardless of the unique energy balance and three-dimensional (3D) structure of urban trees. Specifically, we used a thermal infrared camera to measure the canopy temperature of Zelkova serrata trees and compared the temporal variation of ΔT to that of environmental factors, including solar radiation, wind speed, vapor pressure deficit, and soil water content. Normalization based on a 3D energy-balance model was also performed and used for comparison with ΔT. To represent the 3D structure, a terrestrial light detection and ranging-derived 3D tree model was used as the input spatial data. The temporal variation in ΔT was similar to that of the index derived using the energy-balance model, which considered the 3D structure of trees and 3D radiative transfer, with a correlation coefficient of 0.85. In conclusion, the thermal-image-based ΔT performed comparably to an index based on the 3D energy-balance model and detected the increase in canopy temperature because of the reduction in soil water content for Z. serrata trees in an urban environment.

Characteristics of a revised quick sequential organ failure assessment score (RqSOFA) to predict in-hospital mortality of patients visiting the emergency department via ambulance: an observational cohort study.

The National Early Warning Score (NEWS), Quick Sequential Organ Failure Assessment (qSOFA), and modified qSOFA (MqSOFA) are scoring systems that rely on vital signs. However, NEWS is time-consuming, qSOFA has low sensitivity, and MqSOFA includes a difficult calculation. To address these issues, we developed the Revised qSOFA score (RqSOFA) that consists of percutaneous oxygen saturation, oxygen usage, Simple Shock Index, and the parameters of qSOFA. The predictability of RqSOFA was examined for in-hospital mortality among patients who were transported by ambulance. This observational cohort study included all patients transported via ambulance to an Emergency Department between 2019 and 2021. Patients who had prehospital cardiopulmonary arrest, were pregnant, were younger than 15years old, arrived from another hospital, and had missing data were excluded. The Area Under the Receiver Operating Characteristic curve (AUROC) of RqSOFA, as well as its sensitivity and specificity at the optimal cut-off point, were determined and compared to those of qSOFA, NEWS and MqSOFA. Among 1849 included patients, 53 died in the hospital. The AUROC for RqSOFA was 0.867 and the optimal cut-off point was 2. The sensitivity and specificity were 0.849 and 0.802, respectively. The AUROC of RqSOFA was larger than qSOFA but had no significance with NEWS and MqSOFA. RqSOFA exhibited the same sensitivity and better specificity compared to NEWS. There were no differences in sensitivity and specificity between RqSOFA and MqSOFA. In conclusion, RqSOFA exhibited superior predictability for in-hospital mortality to qSOFA and NEWS, while offering similar predictability to MqSOFA despite relying only on simple measurements.

A diagnostic index for predicting heart rate variability decline and prognostic value in newly diagnosed non-small cell lung cancer patients.

Heart rate variability (HRV) is an important marker of autonomic nervous system function and cardiovascular health. Holter monitoring is a crucial method for evaluating HRV, but the procedure and result analysis are relatively complex. This study aims to develop a simplified diagnostic index for predicting HRV decline in newly diagnosed non-small cell lung cancer (NSCLC) patients and evaluate its prognostic value. This retrospective cross-sectional study included 131 newly diagnosed NSCLC patients. Baseline characteristics were compared between normal HRV group and declined HRV group. Univariate and multivariate logistic regression analyses identified significant predictors of HRV decline. A diagnostic index was developed based on resting heart rate (RHR), serum sodium, and interleukin-6 (IL-6) and externally validated. Kaplan-Meier survival analysis assessed the prognostic value of the index. Patients with declined HRV had higher median RHR (84 b.p.m. vs. 70 b.p.m., p < 0.001), lower serum sodium (136.3 mmol/L vs. 138.7 mmol/L, p < 0.001), lower serum albumin (39 g/L vs. 41 g/L, p = 0.031), higher lactate dehydrogenase (LDH) (202 U/L vs. 182 U/L, p = 0.010), and higher IL-6 (11.42 pg/ml vs. 5.67 pg/ml, p < 0.001). Multivariate analysis identified RHR (OR = 3.143, p = 0.034), serum sodium (OR = 6.806, p < 0.001), and IL-6 (OR = 3.203, p = 0.033) as independent predictors of HRV decline. The diagnostic index, with an area under the curve (AUC) of 0.849, effectively predicted HRV decline. ROC analysis of the external validation data demonstrated an AUC of 0.788. Survival analysis showed that patients with a diagnostic index > 2 had significantly worse overall survival (log-rank p < 0.001). The study identified key clinical parameters that predict HRV decline in newly diagnosed NSCLC patients. The developed diagnostic index, based on RHR, serum sodium, and IL-6, effectively stratifies patients by HRV status and has significant prognostic value, aiding in early identification and management of high-risk patients.

Public Interest in Localized Cancer Incidence and Uncertainty in Cancer Surveillance Data: Clarifying Uncertainty in Residential Geolocation to Concerned Citizens

Recently, interest in geospatial cancer analysis involving smaller geographic areas, such as sub-county regions in the US and districts in Germany, has been expressed by concerned citizens. At the same time, locally elevated cancer incidence sparks public concern as attributed to potential environmental factors, impacting citizens’ sense of well-being and property values. In these periods of collective anxiety, the scrutiny of the quality of cancer surveillance data, which is primarily the responsibility of CCRs, increases tremendously as well as the public pressure to explain uncertainty in the data. Residential geolocation harbors the highest level of uncertainty compared to other patient’s characteristics. Residential geolocation involves geocoding record linkage across different information sources. Uncertainty arises when a patient’s characteristics diverge among various sources. Here, we present how a simple index of confidence in residential geolocation can explain uncertainty in cancer surveillance data. Efforts invested in clarifying confidence in residential geolocation to citizens may improve relationships between CCRs and the public and also improve georeferenced data in areas that need such improvement badly. The purpose of this publication is to set up the stage for a discussion within the cancer surveillance community and possibly the public.

A simplified geriatric prognostic index to survival in older Asian patients with diffuse large B-Cell lymphoma treated with standard chemo-immunotherapy.

While there are many proposed clinical prediction models for diffuse large B-cell lymphoma, like the International Prognostic Index (IPI), revised IPI and the National Comprehensive Cancer Network IPI, there is no widely used model for older patients. A recent study proposed a Geriatric Prognostic Index (GPI) validated in a Norwegian cohort, using independent predictors involving demographic, biochemical and functional parameters. This study aims to validate the GPI in an Asian cohort and simplify the GPI for ease of clinical application. Older patients (age ≥ 70) treated with R-CHOP-like regimens were identified through the Singapore Lymphoma Study. In a retrospective Asian cohort comprising 268 patients, a simplified GPI (sGPI) was created using variables of predictive significance advanced age > 80 years, Eastern Cooperative Oncology Group performance score ≥ 2, serum lactate dehydrogenase level > 3-times upper limit of normal, and stage 3-4, stratifying patients into Low (0), Intermediate (1-2) and High risk (3-4). Cox regression analysis demonstrated a statistically significant difference between risk groups in terms of overall survival (p < 0.00010), with hazard ratios of 1.50 (95% CI: 0.93-2.42), and 4.86 (95% CI: 1.63-14.48), for intermediate and high-risk groups respectively, when compared to the low-risk group. Similar findings were noted for progression free survival (p = 0.00010), with hazard ratios of 1.49 (95% CI: 0.93-2.39) and 4.92 (95% CI: 1.64-14.77) for intermediate and high-risk groups respectively. The sGPI was found to have a C-index of 0.65 (95% CI: 0.60-0.70), which was superior to existing models. In conclusion, we have validated the GPI in an Asian cohort. The sGPI demonstrates good predictive value in an Asian cohort as compared to existing prognostic models.

Extraperitoneal Open Radical Cystectomy: A New Standard in Frail Patients with Muscle-Invasive Bladder Cancer?

Background/Objectives: Radical cystectomy (RC) represents one of the most complex and morbid surgical procedures in the field of Urology. Extraperitoneal open RC has emerged as an alternative to the traditional transperitoneal approach for the treatment of muscle-invasive bladder cancer. Frailty is one of the most important risk factors for perioperative morbidity and mortality, and this category of patients can benefit the most from the extraperitoneal approach. The purpose of this study was to evaluate the feasibility and the safety of extraperitoneal open RC in our experience; Methods: We retrospectively collected the data of 75 frail patients who underwent an extraperitoneal open RC, performed by a single experienced surgeon. We assessed their frailty status using the simplified frailty index (sFI). We recorded data regarding general characteristics, intraoperative, pathological, and postoperative complications, and mortality (within 90 days); Results: We analyzed 61 males and 14 females with an sFI equal to or higher than 3. The median age was 77 years. Fifty-one patients had an ASA score of 3 or more. Sixty procedures were with radical intention, while fifteen were palliative. Cutaneous ureterostomy was performed in 70 cases and extraperitonized ileal conduit in five cases. The median operative time was 150 min. The median blood loss was 400 mL. The median time to flatus was 2 days. The median postoperative stay was 7 days. Thirteen patients had Clavien-Dindo III or IV complications. Two patients died in first 90 days postoperatively; Conclusions: The extraperitoneal open RC in frail patients was demonstrated to be a feasible and safe alternative approach in definitive treatment or a palliative setting in our experience.

Using Social Network Analysis to Assess 'Groupness' in a Mixed-Species Zoo Exhibit of Tufted Capuchins (Sapajus apella) and Squirrel Monkeys (Saimiri sciureus).

Mixed-species groups have been recorded in various primates, including tufted capuchin and squirrel monkeys. Measures of their 'groupness' are typically based on factors such as group stability, social interactions, proximity, or behavioural coordination. Social network analysis has become a useful tool for quantifying relationships among group-living individuals. Here, we apply social network analysis to two captive mixed-species groups of tufted capuchins and squirrel monkeys housed at the Living Links to Human Evolution Research Centre, Royal Zoological Society of Scotland, Edinburgh Zoo, UK. We conducted 183 h of focal observations (three hours per individual, excluding co-observations) and calculated association rates using a simple index ratio. Permutation t-tests were used to assess differences in the overall mixed-species network and network metrics according to species. While the two species exhibited some level of association, they formed separate clusters in the mixed-species networks; however, the East group had more balanced group sizes and showed some signs of closer inter-specific social ties compared to the West group. Our data indicate that, in captivity at least, while these groups co-exist in a small, shared space, they do not form cohesive mixed-species groups. We suggest caution in the assumption of mixed-species groups based on shared space only.

Urban growth stage analysis with fractal dimension logistic curve modeling and head/tail breaks method

The fractal dimension logistic curve model offers a promising approach to understanding the dynamic patterns of urban development. By deriving formulas for growth rate and acceleration of fractal dimension, we can pinpoint the inflection points in urban growth and delineate distinct stages of development. Previous studies have focused on analyzing fractal dimension values over long time spans, which means determining inflection points within a sufficiently long time series and studying the growth patterns and stages within that fixed span of time. However, the applicability of this method to studying and predicting urban growth stages in different short-term periods remains uncertain and warrants further investigation. Furthermore, the commonly used calculation method for fractal dimension, the box-counting method, often yields results influenced by the time span or scale and may introduce errors in the results obtained through least squares regression. To address this issue, a new simplified fractal index value obtained through the head/tail breaks method was applied as a supplement to the box-counting method. This new method better captures the complexity of urban development and improves the effectiveness of dividing urban growth stages. To validate our approach, we conducted a case study using continuous short-span time series data from Changchun City. By applying the fractal dimension logistic curve model, we identified inflection points of past years and divide growth stages based on urban development background across different research periods, this achieves a new application of using the logistic model based on short-span time series to predict the growth stages of different periods in the past. Our findings aim to provide valuable insights and decision support for urban planning and development initiatives.

Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence

Abstract. Annually, a considerable quantity of forest is burned on a global scale. Therefore, it is essential to obtain precise and fast information regarding the size of burned regions in order to effectively monitor the adverse consequences of wildfires. The objective of this investigation is to indicate the effectiveness and usefulness of a deep learning (DL) architecture, such as Convolutional Neural Networks (CNNs), in the mapping of areas affected by fire, employing an eXplainable artificial intelligence (XAI) algorithm known as SHapley Additive exPlanations (SHAP) with accuracy evaluation criteria. Furthermore, this paper presents the evaluation of the Çanakkale-Kizilkeçili village wildfire. The research investigated the impacts of a variety of spectral indices, including the normalized burn index (NBR), differentiated normalized burn index (dNBR), Green-Red Vegetation Index (GRVI), simple ratio vegetation index (RVI), and normalized difference vegetation index (NDVI). At the end of the training process, the model achieved a training accuracy of approximately 0.99, with model loss values converging to approximately 0.1. The findings of the burned area identification analysis indicate that by incorporating spectral indices as supplementary information, the CNN model achieved a high level of accuracy, with an overall accuracy of 98.88% and a Kappa Coefficient of 0.98. Additionally, the SHAP technique was employed to gain insights into the output of the models. The feature importances of the spectral bands were determined through the SHAP analysis of the CNN model. Hence, the significance of the auxiliary data generated by the NBR, dNBR, and NDVI indices was identified as being the highest among the original bands and auxiliary data employed in this investigation.

Comparative evaluation of two audio sensory methods on oral hygiene maintenance in visually impaired children.

To evaluate and compare the efficacy of manual toothbrush, audio-tactile performance (ATP) method, and musical toothbrush on plaque control and oral hygiene maintenance in visually impaired children. The current observational study included 60 visually impaired children aged 9-16years who were randomly divided into 3 groups, each with 20 children receiving oral hygiene instructions in different modes: Group 1 (Control) manual toothbrush, Group 2 (ATP) audio-tactile performance method with a manual toothbrush, and Group 3 musical toothbrush. Both manual (groups 1 and 2) and musical toothbrushes (Group 3) were changed after 3months for better efficiency. Oral hygiene index simplified (OHI-S) and Rustogi Modified Navy Plaque Index (RMNPI) plaque scores were recorded at baseline, at the end of 1, 3, and 6months. The collected data were statistically analysed using SPSS version 21. The intra- and inter-group comparisons were analysed using one-way ANOVA, and the multiple group comparisons were analysed using the Tukey HSD test. In intragroup comparisons from baseline to 6months, both OHI-S and RMNPI plaque scores were reduced for group 3, only OHI-S plaque scores were reduced for group 2. Intergroup comparisons revealed a statistically high significant difference in OHI-S plaque scores from baseline to 6months and RMNPI plaque scores from 1 to 6months. The motivation and education with musical toothbrushes and audio-tactile performance (ATP) method could aid in the improvement of oral hygiene maintenance of visually impaired children.

Simplified magnetic resonance index of activity score versus simple endoscopic score in Crohn's disease: prospective study

BackgroundTo evaluate the correlation between simplified MR index of activity (sMaRIA) score and simple endoscopic score (SES-CD) in Crohn's disease activity assessment. A prospective study was done on established Crohn's disease patients referred to our institution. Magnetic resonance enterography and colonoscopy were performed as an activity assessment protocol searching for activity signs through calculation of sMaRIA score and SES-CD score and correlation between them. One hundred patients were enrolled in the study in period from July 2021 to July 2022. Patients with isolated upper gastrointestinal Crohn's disease (n = 4) or performed surgery before completion of activity assessment protocol (n = 9) or dropout (n = 18) were excluded. Patients with any age group, with ileal or colonic or ileo-colonic Crohn's disease and completed the protocol were eligible for the study (n = 69).ResultsSixty-nine patients with 345 bowel segments (five segments for each patient: ileum, right colon, transverse colon, left colon/sigmoid and rectum) were completely evaluated: 33 males and 36 females with mean age 29.16 ± 11.37 years. sMaRIA and SES-CD scores were calculated for each patient (global), and each bowel segment showed 97.50% sensitivity and 79.31% specificity at the level of global scores as well as significant positive correlation between the two scores at patient level/overall segments (rs = 0.816, p < 0.001), at ileal segments (rs = 0.704, p < 0.001) and colonic segments (right colon rs = 0.661, p ≤ 0.001, transverse colon rs = 0.586, p ≤ 0.001, left colon rs = 0.731, p < 0.001 and rectum rs = 0.786, p < 0.001). There were good inter-rater agreement between the two radiologists for the three parameters (wall thickness > 3 mm, mural edema and fat stranding) and moderate for mucosal ulcer detection with k value 0.666, 0.712, 0.712 and 0.565, respectively.ConclusionssMaRIA score is considered to be a reliable tool for Crohn's disease activity evaluation as compared to SES-CD.

A simple snow temperature index model exposes discrepancies between reanalysis snow water equivalent products

Abstract. Current global reanalyses show marked discrepancies in snow mass and snow cover extent for the Northern Hemisphere. Here, benchmark snow datasets are produced by driving a simple offline snow model, the Brown Temperature Index Model (B-TIM), with temperature and precipitation from three reanalyses. The B-TIM offline snow performs comparably to or better than online (coupled land–atmosphere) reanalysis snow when evaluated against in situ snow measurements. Sources of discrepancy in snow climatologies, which are difficult to isolate when comparing online reanalysis snow products amongst themselves, are partially elucidated by separately bias-adjusting temperature and precipitation in the B-TIM. Interannual variability in snow mass and snow spatial patterns is far more self-consistent amongst offline B-TIM snow products than amongst online reanalysis snow products, and the self-consistent products are more similar to in situ observations, as evaluated in a validation study. Specific artifacts related to temporal inhomogeneity in snow data assimilation are revealed in the analysis. The B-TIM, released here as an open-source, self-contained Python package, provides a simple benchmarking tool for future updates to more sophisticated online and offline snow datasets.

Insulin Resistance-Nutritional Index: A Simple Index and Potential Predictor of Mortality Risk in Patients with Chronic Heart Failure and Type 2 Diabetes.

Patients with chronic heart failure (CHF) and type 2 diabetes mellitus (DM) are prone to insulin resistance and malnutrition, both of which are significant prognostic factors for CHF. However, the combined effect of the triglyceride-glucose index (TyG index) and prognostic nutritional index (PNI) on the mortality risk in patients with CHF and type 2 DM has not yet been studied. We enrolled 3,315 patients with CHF and type 2 DM. We used a multivariate Cox regression model to assess hazard ratios (HRs) with 95% confidence intervals (CIs) for mortality risk based on TyG index and PNI levels. Furthermore, we constructed a novel index, the insulin resistance-nutritional index (IRNI), defined as TyG index/Ln (PNI), and evaluated its prognostic significance. During follow-up, 1,214 deaths occurred. Participants with a high TyG index and non-high PNI had a significantly higher mortality risk compared to those with a non-high TyG index and high PNI, with an adjusted HR of 1.91 (95% CI, 1.57-2.32). The multivariate Cox regression analysis revealed HRs for all-cause and cardiovascular deaths of 1.93 (95% CI, 1.66-2.26; P < 0.001) and 2.50 (95% CI, 2.05-3.06; P < 0.001), respectively, when comparing the highest and lowest IRNI tertiles. IRNI's predictive power was stronger in groups with higher adapted Diabetes Complications Severity Index scores (P for interaction < 0.05). Additionally, adding IRNI to the baseline risk model significantly improved predictive performance, showing a greater effect compared to the TyG index or PNI. IRNI, a novel and composite index reflecting insulin resistance and nutritional status, emerges as a potentially valuable prognostic marker for patients with CHF and type 2 DM.

[Translated article] Application of the Simplified Psoriasis Index in the Routine Clinical Practice: A Pilot Study

Background and objectiveThe Simplified Psoriasis Index (SPI) is a recently validated tool in Spanish that measures psoriasis severity by integrating 3 different spheres: clinical severity (SPI-s), psychosocial impact (SPI-p), and natural history (SPI-i). Our objective was to study the validity and equivalence of this new scale compared to routinely used scales such as the Psoriasis Area and Severity Index, PASI, and the Dermatology Life Quality Index (DLQI). Materials and methodsThis was a cross-sectional and observational study that included 45 patients aged 18–74 years. Demographic data and information associated with psoriasis severity and the patients’ quality of life were collected, using PASI, DLQI, and SPI simultaneously. The correlation of reference scales (PASI and DLQI) with SPI was examined. The degree of agreement between the 2 versions of SPI completed by the physician (proSPI-s) and self-administered by the patient (saSPI-s) was also studied. ResultsThe mean age of the study population was 51 years, with a mean psoriasis history of 14.05 years. A strong correlation was found between PASI and proSPI-s (r=0.89), as well as between DLQI and SPI-p (r=0.89), with a moderate correlation being reported between PASI and saSPI-s (r=0.52). The degree of agreement between proSPI-s and saSPI-s was moderate. ConclusionsThese findings represent the initial results of real clinical practice using the validated Spanish version of SPI, making its use truly promising in the routine clinical practice.

Development and Verification of a Multi-Physics Transport Code of Molten Salt Reactor Fission Products

The transport of fission products in molten salt reactors has attracted much attention. However, few codes can completely describe the transport characteristic, though the migration of fission products in the molten salt reactor is essential to estimate the source term, decay heat, and radiation shielding. This study built a program named ThorFPMC (Thorium Fission Products Migration Code) that can handle the multi-physics transport characteristic based on the flow burnup code ThorMODEc (Thorium MOlten Salt Reactor Specific DEpletion Code). A problem-related depletion chain compression method was applied to decrease the order of the solve matrix. The matrix exponential and splitting methods were applied to solve the steady state and transient calculation, respectively. Error analysis showed that for a specific problem, the simplified depletion chain matrix index method could solve the fission products migration equation with an arbitrary time-step with high speed (s) and high precision (10−4); the splitting method could reach a precision of 10−2 level for the full fuel depletion chain, multi-nodes, and transient problems. Compared to the Strang splitting method, the perturbation splitting method has higher precision and less time consumption. In summary, the developed programmer could describe the migration effect of fission products in molten salt reactors, which provides a significant tool for the design of molten salt reactors.

Use of intraoral mobile photography for screening of oral health in children

Abstract Background The aim of the study is to evaluate the diagnostic accuracy of intraoral mobile photography to assess caries intensity (DMFT/deft), simplified oral hygiene index (S-OHI) and modified gingival index (MGI). Methods Children aged 7-12 were included in the study. The clinical doctor evaluated the oral health indicators by visual examination: DMFT, deft, S-OHI, MGI were calculated. Dental students independently captured photos with a mobile phone (iPhone-11) in 8 predetermined projections. Dental images were kept in coded folders for research anonymity. Another professional calculated index based on the photos. Variables were used with binary values (DMFT/deft = 0/≥1; MGI=0/≥1; S-OHI≤1.2/&amp;gt;1.2). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) of dental photography were evaluated and Cohen’s Kappa was calculated to measure the level of agreement between two independent observers. Results 2864 photographs were evaluated for 358 participants. The sensitivity and specificity of intraoral mobile photography for DMFT index is 95.8 (95% CI: 93.4-98.3) and 89.2 (95% CI: 83-95.5); For deft index: 100.0 (95% CI: 100-100) and 88.6 (95% CI: 79.3-98); For MGI: 89.7 (95% CI: 85.8-93.5) and 91.4 (95% CI: 86.3-96.5); For S-OHI: 77.6 (95% CI: 67.6-87.6) and 93.8 (95% CI: 91-96.6); The PPV value for DMFT, deft, MGI and S-OHI is 96.2; 97.7; 95.6 and 74.3 and the NPV value is 88.3; 100.0; 80.9 and 94.8 respectively. It was achieved substantial and perfect agreement between two independent raters: For DMFT, deft, MGI, S-OHI indices Cohen’s Kappa =0.85; 0.93; 0.78; 0.70 correspondingly. Conclusions Intraoral mobile photography, if applied within appropriate guidelines is reliable for assessing caries intensity, simplified hygiene index and modified gingival index as well as visual screening and may become a priority for dental public health. The involvement of dental students in studies of similar design is appropriate. Key messages • Intraoral mobile photography can be used for oral health screening in children. • The involvement of dental program students in screening studies conducted with intraoral mobile photography is appropriate.

Seed priming enhances seed germination and plant growth in four neglected cultivars of Capsicum annuum L.

Priming is basically a water-based technique inducing controlled seed rehydration to trigger the metabolic processes normally activated during the early phase of germination. It is regarded as an ecofriendly approach alternative to fertilizers in traditional agriculture, but also a method to synchronize off-field crops and resume stored seeds, improving vigor, and allowing for a rapid, uniform seedling emergence. In this work we tested several methods of seed priming (i.e., hydro-priming, halopriming by KNO3, and acid priming with HCl) in four ancient and neglected cultivars of Capsicum annuum L., a crop species belonging to Solanaceae family cultivated worldwide. We followed germination performance, seedling growth and selected morphological traits, antioxidant production in the leaves, and protein content of the seeds. Apart from acid priming, which inhibited root emergence, both hydropriming and halopriming decreased the mean germination time in all cultivars. The best treatments were KNO3 6% for 96 h > KNO3 4% for 48 h > hydropriming for 24 h. In particular, KNO3 6% for 96 h in all four cultivars significantly increased plant growth, simple vigor index, development germination index, leaf antioxidant concentration and protein content in the seeds, in comparison to control and other priming treatments, indicating the prompt activation of pre-germinative processes.

Impact of systolic coronary flow reversal in patients with aortic stenosis: assessment with transthoracic echocardiography

Abstract Background In patients with aortic stenosis (AS), increased systolic wall stress due to increased afterload reduces systolic coronary flow, often leading to systolic coronary flow reversal (SFR) in epicardial coronary arteries. Purpose We used transthoracic echocardiography (TTE) to evaluate severity of AS, left ventricular function, and coronary flow, and investigated echocardiographic indicators associated with SFR. Methods We prospectively evaluated consecutively presenting patients who visited our valvular heart disease outpatient clinic or were admitted to our hospital for investigation of AS (July 2023 to February 2024). Based on ESC guidelines, severity of AS and the left ventricular function were assessed with TTE. At the same time, TTE was used to measure distal left anterior descending coronary artery flow. SFR was defined as the presence of a reversal coronary flow component in systole. Based on the presence or absence of SFR in coronary flow measurements, patients were classified into SFR+ or SFR− groups. The inclusion criteria were AS of moderate or greater severity, and the exclusion criteria were known coronary stenosis and the inability to assess coronary flow. Results Enrolled 28 patients were classified into SFR+ (7 patients) and SFR − (21 patients) groups. Comparing baseline characteristics between the SFR+ and SFR− groups, although there were no significant differences in left ventricular indicators such as left ventricular mass index, left ventricular ejection fraction, stroke volume index, and E/e’ between the two groups, left ventricular global longitudinal strain was significantly lower in the SFR+ group (12.0±3.1%, 14.9±3.0%, p=0.026) (Table 1). Regarding indexes of AS assessment, aortic valve peak velocity and aortic valve mean pressure gradient values were significantly higher in the SFR+ group than in the SFR − group ([475±68 cm/s, 379±55 cm/s, p&amp;lt;0.001] and [56.2±16.5 mm Hg, 34.8±10.5 mm Hg, p&amp;lt;0.001], respectively) (Table 1). Representative cases show Figure 1. Conclusion The presence of SFR in patients with AS assessed using TTE may be a simple echocardiographic index that may be associated with potential decline in left ventricular function and progression of AS.

Predicting exacerbations in severe preschool wheezers.

Simple clinical indices, complex composite phenotyping/endotyping and telehome monitoring now allow us to evaluate the risk of preschool wheezing on a population or individual level. We herein discuss the usefulness of clinical markers which involve underlying issues such as in utero smoke exposure, the pathophysiology of viral-immunological-allergic interactions, and changes in airway epithelium, mesenchyme and smooth muscle cells. The most important unmet need in this age group remains disease-modifying interventions.