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Abstract Background This study aimed to conduct a systematic review and meta-analysis to summarize the available evidence comparing the diagnostic accuracy of periapical radiography (PA) and cone-beam computed tomography (CBCT) for detection of vertical root fractures (VRFs). Methods A search was conducted in PubMed, Scopus, and Web of Science for articles published regarding all types of human teeth. Data were analyzed by Comprehensive Meta-Analysis statistical software V3 software program. The I2 statistic was applied to analyze heterogeneity among the studies. Results Twenty-three articles met the criteria for inclusion in the systematic review and 16 for the meta-analysis. The sensitivity and specificity for detection of VRFs were calculated to be 0.51 and 0.87, respectively for PA radiography, and 0.70 and 0.84, respectively for CBCT. Conclusions The sensitivity of CBCT was higher than PA radiography; however, difference between the specificity of the two modalities was not statistically significant.

Abstract Rapid urbanization and inadequate environmental planning have significantly increased pressure on ecosystems, leading to unsustainable urban growth. Understanding the environmental impact of urbanization is crucial for sustainable development, especially in rapidly growing cities like Mashhad, Iran. Emergy Analysis, a method that quantifies the total energy used to support an ecosystem, was applied in this study to assess Mashhad’s environmental sustainability using emergy-based indicators. Key sustainability indicators, such as the Emergy Sustainability Index, Environmental Load Ratio, and Emergy Self-Support Ratio, were analyzed using data from 2011, 2016, and 2021. The results reveal that Mashhad's development is currently unsustainable, with heavy dependence on non-renewable resources and increasing environmental pressure. While the Emergy Sustainability Index showed modest improvement, key indicators like the Emergy Yield Ratio and Emergy Density declined, indicating reduced resource efficiency. Additionally, the Environmental Load Ratio increased, reflecting higher environmental stress. Without significant interventions, Mashhad’s current development trajectory will remain unsustainable. The study offers practical recommendations, such as reducing urban sprawl, promoting green spaces, and transitioning to renewable energy sources. Educating residents about resource efficiency and sustainable urban planning is critical. These findings provide actionable insights for other developing cities facing similar environmental challenges and serve as a blueprint for sustainable urban development in resource-constrained settings.

Abstract In contemporary floriculture, particularly within the cut flower industry, there is a burgeoning interest in innovative methodologies aimed at enhancing the aesthetic appeal and prolonging the postharvest longevity of floral specimens. Within this context, the application of nanotechnology, specifically the utilization of silicon and selenium nanoparticles, has emerged as a promising approach for augmenting the qualitative attributes and extending the vase life of cut roses. This study evaluated the impact of silicon dioxide (SiO2-NPs) and selenium nanoparticles (Se-NPs) in preservative solutions on the physio-chemical properties of ‘Black Magic’ roses. Preservative solutions were formulated with varying concentrations of SiO2-NPs (25 and 50 mg L−1) and Se-NPs (10 and 20 mg L−1), supplemented with a continuous treatment of 3% sucrose. Roses treated with 20 mg L−1 Se-NPs exhibited the lowest relative water loss, highest solution uptake, maximum photochemical performance of PSII (Fv/Fm), and elevated antioxidative enzyme activities. The upward trajectory of hydrogen peroxide (H2O2) and malondialdehyde (MDA) levels in petals was mitigated by different levels of SiO2 and Se-NPs, with the lowest H2O2 and MDA observed in preservatives containing 50 mg L−1 SiO2- and 20 mg L−1 Se-NPs at the 15th day, surpassing controls and other treatments. Extended vase life and a substantial enhancement in antioxidative capacity were noted under Se and Si nanoparticles in preservatives. The levels of total phenols, flavonoids, and anthocyanin increased during the vase period, particularly in the 50 and 20 mg L−1 Se-NPs and SiO2-NPs. Petal carbohydrate exhibited a declining trend throughout the longevity, with reductions of 8% and 66% observed in 20 mg L−1 Se-NPs and controls, respectively. The longest vase life was achieved with Se-NPs (20 mg L−1), followed by SiO2-NPs (50 mg L−1) up to 16.6 and 15th days, respectively. These findings highlight the significant potential of SiO2- and Se-NPs in enhancing the vase life and physiological qualities of ‘Black Magic’ roses, with SiO2-NPs showing broad-spectrum efficacy.

Abstract Microalgae like Chlamydomonas are beneficial organisms employed as biological stimulants to improve plants’ growth, fruit quality, and stress tolerance. In the current study, the effects of Chlamydomonas sp. foliar spraying (0, 20, and 40 ml L−1) were assayed on Camarosa strawberry plants under salinity stress (0, 40, and 80 mM NaCl). The results showed that the foliar application of Chlamydomonas extract influenced strawberry’s morphological, physiological, and biochemical characteristics under salinity stress. Foliar treatment of Chlamydomonas extract with and without salinity stress increased the leaf number and leaf area, the leaf relative water content, and photosynthetic pigments content. Moreover, the foliar application of Chlamydomonas extract decreased lipid peroxidation and hydrogen peroxide content and, on the other hand, enhanced the antioxidant enzymes activity (superoxide dismutase, guaiacol peroxidase, and peroxidase), phenolics, flavonoids, and anthocyanins content under salinity stress. For instance, the highest total antioxidant capacity was found in the plants foliar treated with 40 ml L−1 of Chlamydomonas algae extract under 80 mM salinity stress, which increased by 102.4% compared to the controls, as well as the highest total phenolic compounds and anthocyanin’s content were 30.22, and 7.2% more than the control plants, respectively. Overall, the foliar application of Chlamydomonas algae extracts, especially at a concentration of 20 ml L−1 enhanced the strawberry’s growth, yield, and physiological traits under saline conditions. The results with more detailed evaluations will be advisable for the pioneer farmers and extension section.

Abstract In this study, a spatiotemporal disaggregated simulation model was developed based on water–food–energy (WFE) nexus approach to assess water and food supply security considering ecosystem provisioning services. The main components of the developed model in this study (SD-WFE model) are population, water, agriculture, and energy modules. The model, which was developed using system dynamics (SD) approach, was utilized to simulate effectiveness of sectoral municipal, industrial, and agricultural water and energy consumption management and environmental protection policies in improving ecosystem provisioning services during a 20-year period. Through sensitivity analysis utilizing the Monte Carlo model, the study addresses the formulation of sustainable water resource policies across four main categories: water demand management, water supply management, food resource management, and energy resource demand management. Additionally, it explores the integration of policies within an optimal framework. The simulation of proposed solutions revealed that a combination of water demand management and food resource management yielded the most promising outcome. Specifically, the recommended solution entails enhancing water irrigation efficiency by 18% through the expansion of pressurized irrigation network coverage, adjusting cropping patterns by 14%, reducing agricultural product losses by 8% via improved food supply management, minimizing food demand by 9% due to reduced food consumption losses, and achieving an annual 10% increase in crop performance. These selected policies form the foundation for sustainable water resource management strategies.

Abstract This study aims to assess the effect of familial structures on the still-missing heritability estimate and prediction accuracy of Type 2 Diabetes (T2D) using pedigree estimated risk values (ERV) and genomic ERV. We used 11,818 individuals (T2D cases: 2,210) with genotype (649,932 SNPs) and pedigree information from the ongoing periodic cohort study of the Iranian population project. We considered three different familial structure scenarios, including (i) all families, (ii) all families with ≥ 1 generation, and (iii) families with ≥ 1 generation in which both case and control individuals are presented. Comprehensive simulation strategies were implemented to quantify the difference between estimates of $$\:{\text{h}}^{2}$$ and $$\:{\text{h}}_{\text{S}\text{N}\text{P}}^{2}$$ . A proportion of still-missing heritability in T2D could be explained by overestimation of pedigree-based heritability due to the presence of families with individuals having only one of the two disease statuses. Our research findings underscore the significance of including families with only case/control individuals in cohort studies. The presence of such family structures (as observed in scenarios i and ii) contributes to a more accurate estimation of disease heritability, addressing the underestimation that was previously overlooked in prior research. However, when predicting disease risk, the absence of these families (as seen in scenario iii) can yield the highest prediction accuracy and the strongest correlation with Polygenic Risk Scores. Our findings represent the first evidence of the important contribution of familial structure for heritability estimations and genomic prediction studies in T2D.

Abstract Background Sexual offenses encompass a diverse array of behaviors across various contexts, affecting numerous individuals. Despite the prevalence of sexual offending among adolescents, there is still a limited understanding of this population. To contribute further to the literature in this field, the present study was conducted to compare a group of male adolescents convicted of sexual offenses with a control group in terms of reflective functioning (RF), emotion regulation (ER) strategies, and emotion dysregulation (ED). Methods 60 male adolescents aged 12 to 18 years (M = 16.90; SD = 0.97) who had been convicted of at least one serious sexual offense were recruited from male adolescents referred by juvenile courts to the Legal Medicine Organization in Mashhad, Iran, and compared with a control group of non-offending adolescents consisting of 60 male adolescents aged 12 to 18 years (M = 16.97; SD = 0.82) who were attending school. The groups were matched on age and education level. Results A comparison between these two groups revealed that adolescents with a history of sexual offending exhibited poorer RF capacity, greater use of suppression as an ER strategy, and higher scores in all ED domains (p’s

Most private schools in India follow the Alphabet-Spelling method to teach reading in English. This approach bypasses letter-sound correspondences and focuses on rote memorization and sight-word recognition. In an effort to provide students with more recent evidence-based practices in reading instruction, this study examined how phonics-based instruction related with early English literacy outcomes for students in kindergarten. Our sample consisted of 627 students attending a private middle-cost school in Mumbai, India where the language of instruction was English. Students were tested for early literacy skills in kindergarten using the DIBELSNext benchmarking measures. We compared groups of students who received no phonics (n = 165) to students who received one year of phonics (n = 234) and students who received two years of phonics (n = 228) respectively. Our results suggested that students who received both one and two years of phonics instruction in preschool significantly outperformed those who did not receive any phonics instruction on all the literacy skills assessed. Moreover, the incidence of students being at-risk for reading difficulties reduced significantly with an increase in years of phonics instruction. Implications for reading research, practice, and policy in the Indian context are discussed.

The flavoenzyme nicotine oxidoreductase (NicA2) is a promising injectable treatment to aid in the cessation of smoking, a behavior responsible for one in ten deaths worldwide. NicA2 acts by degrading nicotine in the bloodstream before it reaches the brain. Clinical use of NicA2 is limited by its poor catalytic activity in the absence of its natural electron acceptor CycN. Without CycN, NicA2 is instead oxidized slowly by dioxygen (O2), necessitating unfeasibly large doses in a therapeutic setting. Here, we report a genetic selection strategy that directly links CycN-independent activity of NicA2 to growth of Pseudomonas putida S16. This selection enabled us to evolve NicA2 variants with substantial improvement in their rate of oxidation by O2. The encoded mutations cluster around a putative O2 tunnel, increasing flexibility and accessibility to O2 in this region. These mutations further confer desirable clinical properties. A variant form of NicA2 is tenfold more effective than the wild type at degrading nicotine in the bloodstream of rats.

Ventricular arrhythmias increase cardiovascular morbidity and mortality. Recurrent PVCs and IVT are generally considered benign in the absence of structural heart abnormalities. Artificial intelligence is a rapidly growing field. In recent years, medical professionals have shown great interest in the potential use of ML, an integral part of AI, in various disciplines, including diagnostic applications, decision-making, prognostic stratification, and solving complex pathophysiological aspects of diseases from these data at extraordinary complexity, scale, and acquisition rate. The aim of this study was to design an ML model to predict the probability of PVC and IVT recurrence after RF ablation.Data of patients were collected and manipulated using traditional analysis and various artificial intelligence models, namely MLP, Gradient Boosting Machines, Random Forest, and Logistic Regression.Hypertension, male sex, and the use of non-irrigate catheters were associated with less freedom from arrhythmia. All these results were obtained through traditional analytic methods, and according to AI, none of the variables had a clear effect on the recurrence of arrhythmia.Each AI model presents unique strengths and weaknesses, and further optimization and fine-tuning of these models are necessary to increase their clinical utility. By expanding the dataset, improved predictions can be fostered to ultimately increase the clinical utility of AI in predicting PVC erosion outcomes.

Background: Irritable bowel syndrome is a functional gastrointestinal disease of unknown etiology. Researchers have recently drawn attention to the possible role of viruses in the development of IBS and provided evidence in this regard. In this study, it was decided to investigate the possible role of rotavirus infection in the onset of IBS.Methods: Stool and serum samples were collected from 40 patients with IBS and 40 healthy individuals. To evaluate the previous exposure to rotavirus we checked the presence and concentration of anti-rotavirus IgG by ELISA. ELISA test was performed on the serum samples. Real-time PCR test was also used to measure the viral load in the stool. Finally, the data were analyzed by SPSS-22 software.Results: No significant relationship was found between anti-rotavirus IgG presence and Level in the serum of case and healthy individuals (p-value > 0.05) . Moreover, there was no significant difference between the viral genome load in the stool samples of the two groups (p-value > 0.05).Conclusion: According to the results, it seems unlikely that a link exists between rotavirus infection and the onset of irritable bowel syndrome, but the possible role of other gastrointestinal viruses, including coronavirus, remains.