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Cognitive behavioral therapy (CBT) is currently considered the gold standard of treatment, with its evidence-based framework widely used in healthcare. However, its implementation in real-world settings faces numerous challenges. Understanding the barriers and facilitators of CBT implementation is essential to improving its accessibility and effectiveness. A systematic search was conducted across multiple databases from 20/9/2024 to 10/10/2024, including PubMed, CINAHL, ProQuest, and Web of Science. Studies published in English from 1994 to 2024 were included. This systematic review was reported using the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and registered at the International Prospective Register of Systematic Reviews (Registered No. CRD42024570477). Qualitative, quantitative, and mixed-method studies were analyzed to identify key implementation challenges and enablers. Data extraction and quality assessments were performed using the Mixed Methods Appraisal Tool (MMAT) and the JBI critical appraisal tools. A total of 32 studies with 2082 participants were included in this review. Common barriers to CBT implementation included limited training opportunities for clinicians, high caseloads, organizational constraints, resistance to change, and inadequate funding. Digital literacy challenges and technical issues further hindered the adoption of internet-based CBT (iCBT). Facilitators included strong leadership support, structured training programs, stakeholder engagement, and the integration of digital and step-care approaches to enhance accessibility. The findings highlight the importance of addressing systemic, organizational, and individual-level barriers to improve the implementation of CBT. Strengthening clinician training, increasing institutional support, and leveraging digital solutions can enhance the accessibility and sustainability of CBT interventions. This review provides practical insights for policymakers, mental health professionals, and researchers working toward optimizing CBT implementation in diverse settings.

Tomatoes, as one of the main vegetables in the world, are facing increasingly greater cultivation challenges due to environmental changes. The challenges include abiotic stresses such as high temperatures, drought, and salinity, which significantly impact tomato growth. Melatonin, a hormone recognized for its function in the human sleep cycle, has surfaced as a potential remedy for improving plant resilience. This article explores the effects of melatonin on tomatoes, particularly under abiotic stress. A comprehensive literature search using Scopus, ScienceDirect, Web of Science, PubMed, and ProQuest ensures the synthesis of relevant scientific literature. This review reports that the melatonin content in tomatoes varies among plant organs and is influenced by environmental factors. The application of exogenous melatonin has been proven beneficial in stress conditions, enhancing antioxidant activities, photosynthesis, and stress resistance. The function of melatonin in gene regulation, antioxidants, and signaling pathways contributes to stress adaptation. The biosynthesis of melatonin in plants includes the enzymatic conversion of tryptophan. Although much is already known, future research is essential to comprehend the function of several melatonin features in sustaining plant equilibrium under environmental stresses.

Introduction: Patients in the preoperative period for coronary artery bypass grafting (CABG) frequently experience significant anxiety and depression, in addition to the physical symptoms necessitating the procedure. Preoperative health education is a crucial intervention to enhance patient knowledge, manage this psychological distress, and improve preparedness for the surgical process.

Objective: This scoping review aims to map the guidelines and strategies used for patient health education and anxiety management in the preoperative period for CABG.

Method: A scoping review was conducted in March 2024, adhering to the JBI framework. Thirteen databases were searched with no temporal or linguistic restrictions. Eligibility criteria were limited to open-access studies focused on preoperative interventions for CABG. The findings were analyzed and synthesized descriptively.

Results: The final selection included 12 studies. Key educational guidelines identified focused on surgical planning, detailed explanations of the procedure, familiarization with medical devices (e.g., drains and monitors), and postoperative care instructions. The reviewed literature consistently demonstrated that these educational interventions are effective in managing patient anxiety and are associated with a reduction in postoperative complications.

Conclusion: This review provides key guidelines for preoperative education to help clinicians reduce patient anxiety and improve surgical outcomes for those undergoing CABG.

Metabolic disorders are complex conditions that arise from abnormal biochemical reactions, disrupting normal metabolic processes. The most prevalent metabolic disorders include obesity, Type 2 diabetes mellitus (T2DM), cardiovascular disease (CVD), nonalcoholic fatty liver disease (NAFLD), and inflammatory bowel disease (IBD). Despite extensive research, no definitive therapeutic strategy has been established for a complete cure. Emerging evidence suggests that gut microbiome dysbiosis plays a critical role in the pathogenesis of these disorders, as maintaining microbial homeostasis is essential for metabolic health. Short-chain fatty acids (SCFAs) are a key metabolite produced by gut microbiota and exhibit significant therapeutic potential by serving as an energy source for colonocytes, enhancing gut barrier integrity, and modulating inflammation. Our analysis reveals that targeted microbial modulation, particularly through SCFA-producing probiotics and prebiotics, consistently benefits host metabolism and reduces systemic inflammation across multiple conditions. This review highlights the importance of gut microbiota as a viable therapeutic target and underscore the need for further clinical trials to validate microbiome-based interventions in metabolic disease management.

Finger millet is commonly cultivated in the semiarid tropics, where it is primarily grown by subsistence farmers. However, grain yield remains low due to the complex quantitative nature of the trait and its low heritability. Therefore, genotype × environment interaction (GEI) significantly influences yield production. This study investigates the impact of GEI on the performance of finger millet genotypes across multiple environments, emphasizing the crop's sensitivity to climate variability. The objectives of this study were to evaluate the effects of genotype, environment, and GEI on yield and identifying high-yielding stable genotypes. Multienvironment trials (METs) were conducted at Axum, Negele Arsi, and Assosa during the 2018 and 2019 in summer cropping seasons utilizing row-column designs and advanced statistical analyses, including additive main effects and multiplicative interaction (AMMI) and genotype and genotype × environment interaction (GGE) biplot analyses. AMMI analysis indicated substantial environmental effects, with interaction principal component axes accounting for over 80% of the GEI. The GGE biplot identified the relationships between environments, highlighting specific genotypes that are optimal for each environment. Genotype G_32, with a yield of 2.75-ton ha^-1, showed the highest mean yield values and the highest stability metrics using mean ranks and cultivar superiority stability values of 0.12 and of 9.0, respectively. Genotype G₅₃ was the most stable, with a variance of ranks of 17.60, mean absolute difference of pairs of ranks of 4.90, and Wricke's ecovalence of 0.02. The choice of stability measures is critical, depending on plant breeders' objectives and the heritable traits targeted. Hence, genotype G₃₂ had the highest grain yield performance and the most stable genotype and recommended for wider production in finger millet growing areas. Finally, the study demonstrates that AMMI and GGE are effective methods for selecting superior genotypes in diverse environments, providing valuable insights for finger millet breeding programs.

The present study aimed to determine whether sole or joint Se treatments improve wheat growth under drought conditions. The study was conducted using two wheat varieties, BARI Gom30 and BARI Gom33, at the Agronomy Research Field of Hajee Mohammad Danesh Science and Technology University, Dinajpur, during the Rabi season from December 2023 to April 2024. A randomized complete block design with three replications was employed. Wheat plants were grown under drought conditions in the field, and seedlings in each plot were subjected to six treatments: T₀ (control, no selenium), T₁ (10 ppm Se), T₂ (20 ppm Se), T₃ (30 ppm Se), T₄ (40 ppm Se), and T₅ (50 ppm Se) per plot. The results indicated that the highest plant height (103.35 cm), number of leaves per plant (5.50), number of tillers per plant (5.00), leaf area (5125.95 mm²), leaf temperature (26.53°C), spike length (17.75 cm), and biological yield (4.33 t ha^-1) were observed in the T5 treatment (50 ppm Se per plot). However, the maximum grain yield was obtained with T₃ (30 ppm Se). The highest harvest index was recorded in the T₄ treatment (40 ppm Se), suggesting its effectiveness in optimizing yield distribution. Additionally, physiological parameters such as chlorophyll content, carotenoid levels, relative water content, water saturation deficit, water retention capacity, water use efficiency, leaf succulence, excised leaf water loss, and cell membrane stability showed slightly higher peak values in BARI Gom33 (V2), indicating its superior drought tolerance and yield potential. Based on the findings, a Se concentration of 50 ppm (T5 × V2) was identified during the interaction as the most effective treatment for enhancing the growth of the selected wheat varieties (V2) under drought conditions.

Cassava cultivation faces increasing challenges from diseases, particularly cassava mosaic virus. Efficient propagation systems are essential for producing disease-free plants and sustaining production. However, information on the agronomic, physiological, growth traits, and yield of cassava plantlets produced through rapid propagation remains limited. This study aimed to investigate the photosynthetic and agronomic traits, as well as the growth and yield, of cassava plantlets derived from an aeroponic system under both pot and field conditions, using a 3 × 4 factorial arrangement in a randomized complete block design (RCBD). Three cassava varieties-Kasetsart 50 (KU50), Rayong 9 (RY9), and Huay Bong 60 (HB60)-were assigned as Factor A, while four plantlet sources-three derived from aeroponic systems (leaf bud cuttings, mini-cuttings, and normal cuttings) and one from conventional cuttings-were assigned as Factor B. The results indicated that HB60 and RY9 exhibited superior growth, stem diameter, photosynthesis rate, stomatal conductance, transpiration, and higher yields. Notably, RY9 also showed greater plant height and stem diameter, contributing to a higher multiplication rate. Plantlet sources did not significantly affect photosynthetic traits under either pot or field conditions but did increase canopy height, starch yield in the field, and starch content in the pot. Interestingly, the performance of leaf bud cuttings, mini-cuttings, and normal cuttings was comparable to conventional planting methods in terms of photosynthetic traits, yield traits, and harvest index. These findings suggest similarities among cassava cultivars in their responses to different plantlet sources and highlight the potential value of plantlet sources as a consideration for plant propagation programs.

Background: The marginal gap increases the rate of bacterial leakage and treatment failure; the measurement of the marginal gap is questionable. The literature revealed that when bacteria get trapped within the smear layer, they can multiply and re-contaminate the root canal system, leading to treatment failure.

Methodology: A literature search was carried out in multiple databases, including PubMed, Web of Science, Scopus, and ScienceDirect, with the help of MeSH terms such as Bacterial infection, Bacterial leakage, Dental leakage, Dental material, Root canal preparation, Root canal obturation, and Tooth penetration.

Result: The initial result of the search showed 2252 articles that were relevant enough. However, only 26 articles were eligible based on inclusion criteria.

Conclusion: The bacterial leakage test can evaluate one of the most essential properties of dental material: sealing ability. The sealing ability of a dental material can prevent bacterial ingestion and reduce the treatment failure rate. This study discussed all the steps of the bacterial leakage test in detail. This study can help the researcher plan and run a bacterial leakage study successfully, and the results can help clinicians choose the best sealing material for the clinical scenario.

AI-based chatbots are increasingly used to automate clinical documentation, but their efficacy in generating specialized nutritional prescriptions for hospital discharge remains underexplored. This preliminary study evaluated the performance of a prominent AI chatbot in producing clinically valid nutritional guidelines. A specialist committee of registered dietitians selected 16 common medical and surgical pathologies. Standardized prompts were used to generate nutritional discharge guidelines from the chatbot. The same committee then evaluated the AI-generated texts for technical accuracy and content presentation on a 0-10 scale (approval score ≥ 7.0). Inter-rater reliability was assessed using the intraclass correlation coefficient (ICC) and Cohen's Kappa. Overall, 50% (8/16) of the AI-generated prescriptions met the predefined approval threshold. Performance was higher for medical pathologies (mean score: 7.1 ± 1.2) compared to surgical pathologies (6.6 ± 1.4), although this difference was not statistically significant (p > 0.05). Inter-rater reliability was substantial (ICC > 0.72; Kappa > 0.62). The findings indicate that AI chatbots hold promise as supplementary tools for drafting nutritional discharge summaries, potentially reducing administrative workload. However, their variable performance underscores the indispensable need for rigorous review and validation by qualified healthcare professionals before any clinical application.

Cellular metabolism is a key regulator of tissue repair and regeneration, with mitochondrial function playing a central role in energy production and cellular homeostasis. Dysfunctional mitochondria, often due to excessive reactive oxygen species (ROS), contribute to oxidative stress, impaired wound healing, and chronic inflammation. This study investigates the therapeutic potential of DeepA-I, a Boron-enriched compound, in enhancing mitochondrial health, reducing oxidative damage, and promoting cellular repair in human umbilical vein endothelial cells (HUVEC) and mouse embryonic fibroblasts (MEF). Boron quantification via inductively coupled plasma optical emission spectroscopy (ICP-OES) confirmed its presence in DeepA-I. Cytotoxicity assessment (MTT assay) demonstrated its safety, while fluorescence microscopy (DAPI, MitoSPY, DCFDA) revealed reduced ROS levels and preserved mitochondrial integrity. A scratch assay showed accelerated cell migration and wound closure in DeepA-I-treated cells. Western blot analysis indicated the downregulation of Akt (a proliferation marker) and the upregulation of NRF2, a key regulator of oxidative stress resistance, without affecting apoptosis-related proteins. These results suggest that DeepA-I, via its Boron-mediated mechanisms, enhances mitochondrial function, mitigates ROS-induced damage, and improves tissue repair, positioning it as a promising therapeutic candidate for inflammatory and degenerative conditions.