Search Results (14,157)

The treatment of maxillofacial defects presents significant challenges due to the complexity of facial anatomy and the diversity of affected tissues. Traditional workflows are labor-intensive, costly, and limited in customization. Recent advancements in fully digital workflows and direct 3D printing technologies offer new possibilities for improving the fit, aesthetics, and efficiency of prosthetic manufacturing. This scoping review aims to evaluate the current state of direct 3D printing for maxillofacial soft prostheses, assess material properties and biocompatibility, and identify challenges and future directions in this field. Methods: A comprehensive search of PubMed and Scopus databases, along with a manual search of relevant journals, was conducted to identify studies published up to December 2024. Articles focusing on direct 3D printing of maxillofacial soft prostheses were included, while studies involving traditional or mold-based workflows, ocular prostheses, and literature reviews were excluded. Data on materials, manufacturing techniques, and clinical outcomes were extracted and analyzed. Results: Out of 898 articles screened, 11 were included, 5 of which were in vivo studies (case reports). The additive manufacturing methods used in these case reports were Drop-on-Demand (DoD) silicone printing and PolyJet technology. Conclusions: Fully digital workflows and direct 3D printing technologies show promise for advancing maxillofacial prosthesis manufacturing. However, the absence of dedicated software, biocompatible materials, and medium- to long-term clinical evaluations highlight significant research gaps. Future research should focus on material development, workflow optimization, and clinical validation to enable widespread clinical adoption. Full article

Background: Artificial intelligence (AI) has emerged as a transformative tool in healthcare, particularly in drug and biomarker discovery, where it can enhance precision, streamline discovery processes, and optimize treatment strategies. Despite its potential, the application of AI in glioblastoma (GB) research, especially in identifying novel biomarkers and therapeutic targets, remains underexplored. The aim of this review is to map the existing literature on AI-driven approaches for biomarker and drug discovery in GB, highlighting key trends and gaps in current research. Design: Following a PRISMA methodology, this scoping review examined studies published between 2012 and 2024. Searches were conducted across multiple databases, including MEDLINE (PubMed), Scopus, the Cochrane Library, and Web of Science (WOS). Eligible studies were screened, and relevant data were extracted and synthesized to provide a comprehensive overview of AI applications in GB research. Results: A total of 224 records were identified, including 210 from PubMed, 104 from Scopus, 4 from WOS, and 6 from the Cochrane Library. After screening and applying eligibility criteria, 33 studies were included in the final review. These studies showcased diverse AI methodologies applied to both drug discovery and biomarker identification, focusing on various aspects of GB biology and treatment. Conclusions: This scoping review reveals an increasing interest in AI-driven strategies for biomarker and drug discovery in GB, with promising initial results. However, further large-scale, rigorous studies are needed to validate real-world applications of AI and the development of standardized protocols to enhance reproducibility and clinical translation. Full article

Clinical education is a fundamental component of physiotherapy entry-level education programs, with practice education being a core element. The aim of this scoping review is to identify and define the competencies of physiotherapy students in clinical settings. This review followed the five steps of the Arksey and O’Malley framework, employing a search strategy that utilized Mesh terms. Searches were performed in PubMed, CINAHL, Scopus, ERIC, WOS, and PsycINFO, with additional exploration of the grey literature. The inclusion criteria were defined using Peter’s concept: (population) physiotherapy students; (concept) competencies aligned with the WCPT educational framework; (context) clinical environment. A total of 1798 sources were identified, and 86 studies were finally selected. Studies originated from 14 countries, with the United States, Australia, and Canada being the most represented. Of the selected studies, 62 used specific tools to identify competencies. The “Clinical Performance Instrument” and the “Assessment of Physiotherapy Practice” were the most frequently used instruments and covered all of the World Physiotherapy competencies’ domains. “Clinical Competence” emerged as the most widely recognized and utilized term across countries. Among the WCPT domains, “Physiotherapy Assessment and Intervention”, “Ethical and Professional Practice”, and “Communication” were the most represented, whereas “Evidence-Based Practice” and “Quality Improvement” were the least mentioned. Full article

Cold plasma is a novel non-thermal processing technology with broad application prospects in food preservation. When combined with other physical sterilization technologies, it enhances sterilization efficiency and broadens its application scope, providing a safe and effective alternative to traditional sterilization methods. In this paper, the sterilization effect of surface dielectric barrier discharge (SDBD) plasma combined with 222 nm ultraviolet (UV) irradiation against Pseudomonas fragi (P. fragi) was explored for the first time. The sterilization process parameters of SDBD + UV were optimized using the response surface methodology. And the sterilization mechanism of SDBD + UV was preliminary elucidated. The results indicated that the SDBD + UV treatment was highly effective against P. fragi. It could eliminate 6.35 Log CFU/g of P. fragi within 150 s, establishing optimal sterilization parameters: a radiation distance of 16.4 cm and a saving time (a period of preservation in which the samples were retained in the device after the treatment) of 120 s. Furthermore, the treatment caused significant damage to the cell membrane of P. fragi, leading to membrane perforation and content leakage. It also induced oxidative stress, as evidenced by membrane lipid peroxidation, alterations in intracellular reactive oxygen species (ROS) content, and a decrease in antioxidant enzyme activity. This study provides a theoretical basis for the application of cold plasma combined with 222 nm UV treatment in the meat industry. Full article

Background/Objectives: Myelodysplastic syndromes (MDS) are clonal hematopoietic disorders characterized by ineffective hematopoiesis and a risk of progression to acute myeloid leukemia (AML). Cognitive impairments, including deficits in memory, attention, and executive function, are frequently reported in MDS patients. These impairments are linked to systemic inflammation, neurotoxic treatment effects, and the psychological burden of chronic disease. This review synthesizes existing evidence on cognitive dysfunction in MDS, highlighting knowledge gaps and opportunities for future research. Methods: A scoping review was conducted following PRISMA-ScR guidelines. MEDLINE and Scopus databases were searched for studies examining cognition in MDS patients, using terms like “myelodysplastic syndromes” and “cognition.” Inclusion criteria were original, English-language studies reporting cognitive outcomes in MDS. Reviews, animal studies, and abstracts were excluded. Data on study design, patient characteristics, cognitive tests, and outcomes were extracted and descriptively analyzed. Results: The review included 25 studies involving 2390 patients with hematologic malignancies, 493 of whom had MDS. Key findings identified cognitive deficits primarily in attention, executive function, and memory. Systemic inflammation and treatment-related neurotoxicity were significant contributors, with older age compounding these effects. Longitudinal studies demonstrated persistent cognitive challenges post-treatment, though the severity varied by patient demographics and therapeutic regimens. Conclusions: Cognitive impairments in MDS are multifactorial and significantly impact patients’ quality of life. Current research highlights the need for routine cognitive assessments and targeted interventions. Future studies should focus on longitudinal designs to explore specific cognitive domains and develop therapeutic strategies to mitigate cognitive decline. Full article

The objective of this work is to evaluate the nutritional and functional composition of microgreens of different species. Beet, pea, adzuki bean, popcorn, onion, and carrot were studied. The nutritional composition was determined according to the AOAC. The content of total phenolic compounds, flavonoids, chlorophylls, total carotenoids, and the in vitro antioxidant activity were evaluated by spectrophotometry. The results show that the aduki bean showed the highest levels of chlorophylls and carotenoids. For total phenolic compounds and flavonoids, onion and carrot micro vegetables had the highest content of these bioactive compounds that also showed the highest antioxidant activity. The results obtained show that micro vegetables are an excellent alternative to fresh foods, providing the scope and importance for the introduction of these vegetables into the diet, as they, sometimes, require long production cycles and more resources or are not usually accepted by consumers. Full article

Soil salinization poses a serious threat to global food security, as high Na⁺ contents in soils hinder nitrogen use efficiency (NUE), affecting the growth and yield of crop plants. The present study aims to explore the effects of different nitrogen fertilizer types viz., NO₃⁻ (N1) and NH₄⁺ (N2) and planting densities, viz., D1: 30 × 10 cm, D2: 20 × 20 cm, and D3: 30 × 20 cm, on growth and development, nitrogen absorption and utilization, and yield formation. The salt-tolerant rice variety ‘Jingliangyou 3261’ was exposed to 0.3% salt irrigation water. Results revealed that N2 substantially improved the rice yield by increasing the number of effective panicles and the rate of grain-setting compared to N1. In addition, the N2 also increased leaf chlorophyll content, dry matter accumulation, antioxidant enzyme activity such as superoxide dismutase, peroxidase, and catalase activity and reduced the content of malondialdehyde. In comparison with N1, the N2 treatment resulted in an increase of 12.21%, 31.89%, and 37.53% in total nitrogen accumulation, nitrogen recovery efficiency (NRE), and nitrogen agronomic efficiency (NAE), respectively. This increase can be attributed to enhanced leaf nitrogen metabolic enzyme activity, including nitrate reductase and glutamine synthetase, and a more robust root system. Under N1 and N2 conditions, compared to D3, D1 resulted in an increase in the number of tillers but decreased the percentage of productive tillers, the grains per panicle, the grain-filling rate, and the thousand-grain weight, thereby reducing yield. Additionally, the D3 treatment also significantly improved NRE and NAE compared to the D1 treatment. Therefore, the rational selection of nitrogen fertilizer type (N2) and planting density (D3) is crucial for improving the yield and nitrogen use efficiency of salt-tolerant rice. This would broaden the scope of agricultural solutions for saline soils, potentially improving food security in regions where soil salinization is a widespread issue. Full article

Background/Objectives: Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS) characterizes the poor regulation of biological (sleep/waking), social, and behavioral rhythms that affected the level of burnout in healthcare professionals during the pandemic in particular. The aim is to provide an initial scoping review of publications on this topic. Methods: The keywords “Stress Rhythms Dysregulation Bipolar Disorder Burnout DYMERS Healthcare professionals COVID-19” were searched on 9 December 2024 following PRISMA 2020 guidelines, using five primary databases (OVID, ProQuest, PubMed, Scopus, Web of Science), one register (Cochrane COVID-19 register), and one supplementary database (Google Scholar). Included were peer-reviewed publications. Excluded were duplicates, reports lacking either a research study or any keywords, or including irrelevant information regarding them. Results: The returns for all the databases were (n = 0) except for ProQuest (n = 4) and Google Scholar (n = 14). Of these, three ProQuest returns were duplicates of the Google Scholar search. The remaining report contained irrelevant information on healthcare professionals. The Google Scholar search results produced two relevant reports—neither duplicated with ProQuest. The excluded contained a duplicate in the search itself, three that did not mention healthcare professionals, two that contained irrelevant information concerning them, four returns that were not a research study, and three that were not peer-reviewed. Conclusions: The two studies published on this topic are by various members of the same investigating institution. DYMERS has provided valuable insights regarding burnout in healthcare professionals. The suggestion is for further DYMERS research by this team and others, anticipating future pandemics. Full article

Psychiatric disorders often coexist with internal medical conditions, posing significant challenges to diagnosis, treatment, and overall patient outcomes. This study examines the bidirectional relationship between these conditions, emphasizing their impact on morbidity, treatment adherence, and quality of life. Through a comprehensive review of the peer-reviewed literature, we explore the physiological, neuroinflammatory, and psychosocial mechanisms that underpin these interactions. Key psychiatric disorders, including depression, anxiety, cognitive impairments, and psychosis, are identified as critical contributors to diagnostic complexity and therapeutic hurdles. Our findings underscore the importance of integrated, multidisciplinary care models, advocating for early detection, routine mental health screening, and personalized treatment strategies. Challenges such as overlapping symptoms, diagnostic ambiguities, and potential drug interactions are critically analyzed, with practical, evidence-based recommendations proposed for clinical practice. Despite advancements, significant research gaps persist, particularly the lack of longitudinal studies and the limited application of precision medicine tailored to this population. Future directions focus on enhancing diagnostic tools, developing innovative therapeutic approaches, and integrating mental health services into routine care. This study highlights the critical need for holistic, patient-centered approaches to manage comorbid psychiatric and internal medical conditions, offering actionable insights to improve outcomes and bridge existing gaps in research and practice. Full article

This study investigates the greenhouse gas (GHG) and renewable energy use reporting practices among thermal power plants (TPPs), waste incinerators (WIs), and hydropower plants (HPPs) in Italy, as reflected in their EMAS environmental statements. The analysis focuses on GHG emissions (Scope 1, 2, and 3) and renewable energy utilization reporting, and on the objectives set by the companies for reducing emissions and fossil fuels use. TPPs and WIs reported positive Scope 1 emissions extensively but reporting on Scope 2 and Scope 3 resulted inconsistent for all facilities. Negative emissions reporting was generally lacking, except for HPPs. Renewable energy use reporting was also limited, especially in TPPs and WIs, despite some facilities producing energy from renewable sources. The study also evaluated the objectives set by the companies on GHG reduction and renewable energy use increase, finding that GHG reduction was prioritized over renewable energy use. However, both were often a secondary goal integrated into planned operational improvements. The findings highlight that, to ensure transparency of sustainability data and the possibility of performances benchmarking in the energy production sector, there is the need for defining stronger reporting guidelines on GHG emissions, especially regarding Scope 3 emissions, and to prioritize increasing the share of renewable energy among strategic objectives. Future research should investigate factors affecting reporting behavior and the barriers to renewable energy adoption in fossil fuel-reliant sectors. Full article

Circular RNAs (circRNAs) have attracted increasing attention for their roles in human diseases, making the prediction of circRNA–disease associations (CDAs) a critical research area for advancing disease diagnosis and treatment. However, traditional experimental methods for exploring CDAs are time-consuming and resource-intensive, while existing computational models often struggle with the sparsity of CDA data and fail to uncover potential associations effectively. To address these challenges, we propose a novel CDA prediction method named the Graph Isomorphism Transformer with Dual-Stream Neural Predictor (GIT-DSP), which leverages knowledge graph technology to address data sparsity and predict CDAs more effectively. Specifically, the model incorporates multiple associations between circRNAs, diseases, and other non-coding RNAs (e.g., lncRNAs, and miRNAs) to construct a multi-source heterogeneous knowledge graph, thereby expanding the scope of CDA exploration. Subsequently, a Graph Isomorphism Transformer model is proposed to fully exploit both local and global association information within the knowledge graph, enabling deeper insights into potential CDAs. Furthermore, a Dual-Stream Neural Predictor is introduced to accurately predict complex circRNA–disease associations in the knowledge graph by integrating dual-stream predictive features. Experimental results demonstrate that GIT-DSP outperforms existing state-of-the-art models, offering valuable insights for precision medicine and disease-related research. Full article

This document outlines guidelines for the use of three-dimensional virtual surgical planning in orthognathic surgery, with relevance to data acquisition, clinical diagnosis, data workflow sequencing, and operative considerations. A detailed description regarding fundamental principles of orthognathic assessment and planning is beyond the scope of this paper. Full article

India, the leading producer and consumer of milk, houses 307 million cattle, nearly a third of the world’s total. A ban on cow slaughter exists in the majority of the Indian states. Intricately interweaved with the disputable yet publicly acknowledged sentiment of the cow’s sacrality, and with the animal’s utility value, the ban is capable of influencing the humans’ treatment of the dairy animals. Against this background, this research aims to evaluate the welfare state of the Indian dairy bovines by analyzing their welfare at various life phases using the Five Freedoms framework. A scoping review of the relevant published studies that met all inclusion criteria was conducted using bibliographic databases Google Scholar, Scopus, and ScienceDirect. Data were extracted and organized using Microsoft Excel, version 22H2. The literature reviewed demonstrates a loss of one or more freedoms in multiple phases of the bovines’ productive lives, and a parallel loss of two or more freedoms in their post-productive lives; indicating the role of religious values, legislation, and the animal’s economic utility in their treatment. This study highlights the role of culturally shaped human influences on dairy husbandry and creates grounds for studying human–bovine relationships through interdisciplinary lenses to generate culturally viable solutions to improve cattle welfare and promote a sustainable inter-species coexistence. Full article

The determination of maximum singularity-free space is critical to structural design and motion control strategy in the Stewart platform. Nevertheless, in practical applications, there exist several limitations such as computational efficiency, calculation precision, and the reliability of computational results. To overcome those shortcomings, this work proposes an efficient and high-precision method for computing the maximum singularity-free space within the Stewart platform. Firstly, apply K-Means clustering to group the variables, including the range, mean, and standard deviation of driving rod lengths, and the clustering centroids and extreme rod lengths collectively form a set of scenarios to avoid large-scale searching. An additional sorting methodology with a specific parameter is proposed for sorting the aforementioned scenarios in descending order and detecting singular-prone cases. Secondly, compute the initial solution for maximum singularity-free length without gimbal lock through an analytical solution formula, enabling reduction in the search scope. Thirdly, introduce a novel scaling factor to resolve the problem of dimensional inconsistency between rotation and translation within the Jacobian matrix using dual quaternions, and determine the singularity based on the determinant of the newly proposed Jacobian matrix. Finally, employ a CNN-LSTM-Attention model for a secondary verification procedure, specifically targeting the challenge of singularities encountered when solving the forward kinematics of the Stewart platform using zero-position values. The experiments demonstrate that the accelerated discretization method for maximum singularity-free joint space and workspace is applicable to devices with diverse geometric configurations. For two practical Stewart platforms, compared with two conventional methods, this method improves computational efficiency and precision significantly. The computation time of the first platform is reduced by 97.54% and 98.07% respectively, while that of the second platform is cut by 80.84% and 81.80% respectively. In terms of precision, the first platform demonstrates 95.83% and 78% improvement respectively, and the second platform attains 99.99% improvement over two conventional methods. Full article

N,N-dimethylformamide’s (DMF) participation in domino reactions has been developed. Starting from substituted halogenobenzenes and selenium powder, versatile biologically active Se-phenyl dimethylcarbamoselenoate derivatives were efficiently synthesized under mild reaction conditions. The reaction mechanism was studied using control experiments. These protocols involve a wider substrate scope and provide an economical approach toward C–selenium bond formation. Full article