bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Assessment of Metals in Black Fungus and Culture Substrates Based on Monte Carlo Simulation
Authors: Qiu Jianfei , Yao Fangjie , Fan Huimei , Wei Chunyan , Song Zhifeng
Published: January 2024

Black fungus is the second-most consumed edible fungus in China. The establishment of a risk assessment mechanism for heavy metals in black fungus is particularly critical to the safety of edible fungi. To clarify a risk assessment mechanism of heavy metal pollution of edible fungi in northeast China, in this study, the contents of Pb, Cr, CD and As in 415 samples were determined, and a total of 1660 valid data were obtained. Then, based on Monte Carlo simulation, a non-parametric probability assessment system for heavy metals in black fungus was established and improved. The results showed that the residual amounts of As, Pb, Cd and Cr in black fungus were in the order of Cr > Pb > As > Cd. The background content of four heavy metals in the main raw materials was preliminarily clarified. Among them, the content of As is between 0.010–0.320 mg·kg−1, Pb is between 0.051–0.792 mg·kg−1, Cd is between 0.019–0.236 mg·kg−1, and Cr is between 0.06–3.41 mg·kg−1. These results indicate that the dietary exposure risk of heavy metals ingested by dried black fungus in Chinese minors and adults is basically safe, but at the high exposure levels of 97.5% sites and 99% sites, Cr is at the light pollution level, and the comprehensive pollution of four heavy metals is at the moderate pollution level. In addition, this study found that raw materials can cause heavy metal accumulation in black fungus, mainly from sawdust, followed by rice bran and wheat bran.
From Route Structure to Human Factors: A Comprehensive Study of Safe Separation on Intersecting Air Routes
Authors: Lu Fei , Wang Tian , Zhang Zhaoning
Published: January 2024

The assessment of collision risk at intersecting air routes is a crucial method for determining safe separation during aircraft route flights. This paper employs the Monte Carlo method to analyze the operational characteristics of aircraft on intersecting air routes in two stages, integrating the influence of the human-operated adjustment process on the distance between the two aircrafts, so as to propose a collision risk assessment model more aligned with the actual operational process. The initial stage considers the positional errors to establish a distance distribution function between trailing and leading aircraft when the latter reaches the intersection. The subsequent stage calculates the minimum distance between the aircraft by combining the kinematic equations with the controller’s thinking and reactions, communications, the pilot’s reactivity, and time required for aircraft maneuvering. Ultimately, based on the intersection course configuration, Monte Carlo simulations were employed to assess the impact of variables, such as magnetic course and aircraft speed distribution, on collision risk. The study’s findings highlight the significance of aircraft positioning capabilities and speed maintenance performance. It also reveals that the collision risk results, simulated from various perspectives, offer a theoretical foundation for the development of intersecting air routes.
Magnetic Behaviour of Iron Oxide/Dextran Nanoparticles in a Keratin Matrix
Authors: Dinelli Franco , Modestino Michele , Galluzzi Armando , Posati Tamara , Seri Mirko , Zamboni Roberto , Sotgiu Giovanna , Corticelli Franco , Polichetti Massimiliano
Published: January 2024

Magnetic nanoparticles (MNPs) are interesting for their potential employment in biomedical and environmental technologies. Although they have been characterized by many techniques, there are some issues that need to be solved. For instance, it is not yet possible to finely characterize their size distribution or to detect their local magnetic properties. In this work, commercial MNPs were employed, which were made of iron oxide cores with a mean diameter of 8 nm embedded in a matrix of dextran to form skeins with a mean diameter of 20 nm. These MNPs have been dispersed in keratin, a natural protein extracted from wool. Thin films have been realized by spin coating water solutions with various MNP concentrations. Analysis was conducted using a set of techniques, namely Atomic Force Microscopy, Environmental Scanning Electron Microscopy, a Physical Property Measurement System–Vibrating Sample Magnetometer, and the spatially resolved Magneto-Optic Kerr Effect (NanoMOKE). These MNPs show superparamagnetic properties, although a wide distribution of blocking temperature values indicates that the cores are not isolated and interact with others. NanoMOKE not only allows us to map the magnetic behavior of MNP clusters, but also to detect the presence of isolated MNPs dispersed in the keratin matrix.
SEM Studies Assessing the Efficacy of Laser Treatment for Primary Teeth: A Systematic Review
Authors: Struzik Natalia , Wiśniewska Kamila , Piszko Paweł J. , Piszko Aleksandra , Kiryk Jan , Matys Jacek , Dobrzyński Maciej
Published: January 2024

Treating and limiting caries among young children are crucial issues for pediatric dentistry. In our systematic review, the authors intend to assess alterations in the surfaces of primary teeth following laser treatment using Scanning Electron Microscopy (SEM). The aim of this article is to systematically review and consolidate existing knowledge regarding the use of SEM imaging to assess the efficacy of laser treatment for primary teeth. On 10 November 2023, an electronic search was systematically conducted across PubMed, Cochrane, Web of Science, and Scopus databases with keywords ((laser) AND ((primary teeth) OR (deciduous teeth)) AND (SEM)). The initial pool consisted of 205 records, from which 93 duplicates were eliminated. After careful examination of the remaining articles, 24 records were included in this systematic review. The majority of articles suggest that laser treatment provides dentinal surface without a smear layer, enhances remineralization of enamel, and improves the bonding quality of resin restorations. However, some discrepancies are still present. Based on the gathered articles, the authors of this review have concluded that laser treatment could be applied to deciduous teeth in terms of caries treatment and remineralization although further research is still needed.
Presence of Quercus Suber Soft-Leaf Defoliators on Trees with Distinct Foliar Monoterpene Emission Profiles
Authors: Sánchez-Osorio Israel , Robles Daniel , Tapias Raúl
Published: January 2024

The cork tree, Quercus suber L., is a characteristic species of the Dehesa agrosilvopastoral system, typical of western Spain. Defoliating insects are an important component of these ecosystems. This study assessed the presence and impact of defoliators feeding on Q. suber soft leaf tissue and their relationship with foliar monoterpene emission profiles. Samplings consisted of weekly tree beating (15 times per tree per sample) during the flight period of key species. We studied 26 cork trees with known profiles of foliar monoterpene emission (13 pinene and 13 limonene chemotypes). We identified a total of 272 larvae from 9 species. The main species were Catocala nymphagoga Esper (40.8%) and Periclista andrei Know (27.6%). Notably, 70.6% of larvae were found on trees with a pinene chemotype. The combined abundance of the four key defoliator species (C. nymphagoga L., P. andrei, Bena bicolorana L., and Cyclophora punctaria L.) was 62.7% lower on limonene-chemotype trees than pinene-chemotype trees. Significant differences were found in defoliation damage between leaves with distinct terpene emission profiles. These results suggest that both the abundance and damage caused by defoliators differ with trees’ emission profiles, and this may indicate differences in palatability and/or nutritional quality between Q. suber trees with distinct foliar monoterpene emission profiles.
Bayesian Linguistic Conditional System as an Attention Mechanism in a Failure Mode and Effect Analysis
Authors: Baeza-Serrato Roberto
Published: January 2024

Fuzzy Inference System behavior can be described qualitatively using a natural language, which is known as the expert-driven approach to handling non-statistical uncertainty. Generally, practical applications involve conceptualizing the problem by integrating linguistic uncertainty and using data by integrating stochastic uncertainty. The proposed probabilistic fuzzy system uses the Gaussian Density Function (GDF) to assign a probability to input variables integrating stochastic uncertainty. In addition, a linguistic interpretation is used to project various categories of the GDF integrating linguistic uncertainty. Likewise, one of the relevant aspects of the proposal is to weigh each input variable according to the heuristic interpretation that determines the probability assigned to each of them a priori. Therefore, the main contribution of the research focuses on using the Bayesian Linguistic Conditional System (BLCS) as a mechanism of attention to relate the categories of the different input variables and find their posterior-weighted probability at a normalization stage. Finally, the knowledge base is established through linguistic rules, and the system’s output is a Bayesian classifier multiplying its normalized posterior conditional probabilities. The highest probability value of the knowledge base is identified, and the Risk Priority Number Weighted (RPNW) is determined using their respective posterior-normalized probabilities for each input variable. The results are expressed on a simple and precise scale from 1 to 10. They are compared with the Risk Priority Number (RPN), which results in a Failure Mode and Effect Analysis (FMEA). They show similar behaviors for multiple combinations in the evaluations while highlighting different scales.
Development of Analytical Model for Bonding of CFRP Rod in Concrete Subjected to Cyclic Loads
Authors: Azarkerdar Arash , Hejazi Farzad
Published: January 2024

Recent material science advances have resulted in the use of High-Performance Concrete (HPC) and Ultra-High-Performance Concrete (UHPC) in superstructures, which were chosen for their superior strength. However, under cyclic loads, these materials frequently show fatigue. Carbon-Fibre-Reinforced Polymer (CFRP) rods are replacing steel rebars due to their corrosion resistance and excellent strength-to-weight ratio and are thus gaining popularity in both infrastructural and superstructural design. However, due to a lack of understanding of their bond mechanics, modelling the interaction between CFRP rods and these advanced concretes in finite element simulations remains complex, particularly under cyclic loading. The bond behaviour of CFRP rods and both standard Grade 40 concrete and Ultra High-Performance Fibre-Reinforced Concrete (UHPFRC) under cyclic stresses is investigated in this work. A finite element model of connected concrete cube samples was built and analysed under cyclic stress, combining these concretes with CFRP rods. Furthermore, these samples were subjected to dynamic actuation testing to develop a traction-based constitutive model for the CFRP–concrete interface. In finite element models, an interface element devised for this study effectively approximated the binding, matching experimental data. The new analytical interface element improved simulation precision by 19% in displacement and 49% in pull-out force, resulting in a significant improvement in predicting the performance of the CFRP–UHPFRC bond under cyclic loading. The improved performance of the CFRP–UHPFRC bond under cyclic loading is attributed to the optimised interface model that enhances the bond integrity between CFRP rods and concrete.
In Silico Study of Camptothecin-Based Pro-Drugs Binding to Human Carboxylesterase 2
Authors: Beierlein Frank , Horn Anselm H. C. , Sticht Heinrich , Mokhir Andriy , Imhof Petra
Published: January 2024

Pro-drugs, which ideally release their active compound only at the site of action, i.e., in a cancer cell, are a promising approach towards an increased specificity and hence reduced side effects in chemotherapy. A popular form of pro-drugs is esters, which are activated upon their hydrolysis. Since carboxylesterases that catalyse such a hydrolysis reaction are also abundant in normal tissue, it is of great interest whether a putative pro-drug is a probable substrate of such an enzyme and hence bears the danger of being activated not just in the target environment, i.e., in cancer cells. In this work, we study the binding mode of carboxylesters of the drug molecule camptothecin, which is an inhibitor of topoisomerase I, of varying size to human carboxylesterase 2 (HCE2) by molecular docking and molecular dynamics simulations. A comparison to irinotecan, known to be a substrate of HCE2, shows that all three pro-drugs analysed in this work can bind to the HCE2 protein, but not in a pose that is well suited for subsequent hydrolysis. Our data suggest, moreover, that for the irinotecan substrate, a reactant-competent pose is stabilised once the initial proton transfer from the putative nucleophile Ser202 to the His431 of the catalytic triad has already occurred. Our simulation work also shows that it is important to go beyond the static models obtained from molecular docking and include the flexibility of enzyme–ligand complexes in solvents and at a finite temperature. Under such conditions, the pro-drugs studied in this work are unlikely to be hydrolysed by the HCE2 enzyme, indicating a low risk of undesired drug release in normal tissue.
Curcumin and Resveratrol: Nutraceuticals with so Much Potential for Pseudoachondroplasia and Other ER-Stress Conditions
Authors: Posey Karen L.
Published: January 2024

Natural products with health benefits, nutraceuticals, have shown considerable promise in many studies; however, this potential has yet to translate into widespread clinical use for any condition. Notably, many drugs currently on the market, including the first analgesic aspirin, are derived from plant extracts, emphasizing the historical significance of natural products in drug development. Curcumin and resveratrol, well-studied nutraceuticals, have excellent safety profiles with relatively mild side effects. Their long history of safe use and the natural origins of numerous drugs contrast with the unfavorable reputation associated with nutraceuticals. This review aims to explore the nutraceutical potential for treating pseudoachondroplasia, a rare dwarfing condition, by relating the mechanisms of action of curcumin and resveratrol to molecular pathology. Specifically, we will examine the curcumin and resveratrol mechanisms of action related to endoplasmic reticulum stress, inflammation, oxidative stress, cartilage health, and pain. Additionally, the barriers to the effective use of nutraceuticals will be discussed. These challenges include poor bioavailability, variations in content and purity that lead to inconsistent results in clinical trials, as well as prevailing perceptions among both the public and medical professionals. Addressing these hurdles is crucial to realizing the full therapeutic potential of nutraceuticals in the context of pseudoachondroplasia and other health conditions that might benefit.
Mitochondrial Chronic Progressive External Ophthalmoplegia
Authors: Ali Ali , Esmaeil Ali , Behbehani Raed
Published: January 2024

Background: Chronic progressive external ophthalmoplegia (CPEO) is a rare disorder that can be at the forefront of several mitochondrial diseases. This review overviews mitochondrial CPEO encephalomyopathies to enhance accurate recognition and diagnosis for proper management. Methods: This study is conducted based on publications and guidelines obtained by selective review in PubMed. Randomized, double-blind, placebo-controlled trials, Cochrane reviews, and literature meta-analyses were particularly sought. Discussion: CPEO is a common presentation of mitochondrial encephalomyopathies, which can result from alterations in mitochondrial or nuclear DNA. Genetic sequencing is the gold standard for diagnosing mitochondrial encephalomyopathies, preceded by non-invasive tests such as fibroblast growth factor-21 and growth differentiation factor-15. More invasive options include a muscle biopsy, which can be carried out after uncertain diagnostic testing. No definitive treatment option is available for mitochondrial diseases, and management is mainly focused on lifestyle risk modification and supplementation to reduce mitochondrial load and symptomatic relief, such as ptosis repair in the case of CPEO. Nevertheless, various clinical trials and endeavors are still at large for achieving beneficial therapeutic outcomes for mitochondrial encephalomyopathies. Key Messages: Understanding the varying presentations and genetic aspects of mitochondrial CPEO is crucial for accurate diagnosis and management.
Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson’s Disease through Artificial Intelligence: A Systematic Review
Authors: Palmirotta Cinzia , Aresta Simona , Battista Petronilla , Tagliente Serena , Lagravinese Gianvito , Mongelli Davide , Gelao Christian , Fiore Pietro , Castiglioni Isabella , Minafra Brigida , Salvatore Christian
Published: January 2024

While extensive research has documented the cognitive changes associated with Parkinson’s disease (PD), a relatively small portion of the empirical literature investigated the language abilities of individuals with PD. Recently, artificial intelligence applied to linguistic data has shown promising results in predicting the clinical diagnosis of neurodegenerative disorders, but a deeper investigation of the current literature available on PD is lacking. This systematic review investigates the nature of language disorders in PD by assessing the contribution of machine learning (ML) to the classification of patients with PD. A total of 10 studies published between 2016 and 2023 were included in this review. Tasks used to elicit language were mainly structured or unstructured narrative discourse. Transcriptions were mostly analyzed using Natural Language Processing (NLP) techniques. The classification accuracy (%) ranged from 43 to 94, sensitivity (%) ranged from 8 to 95, specificity (%) ranged from 3 to 100, AUC (%) ranged from 32 to 97. The most frequent optimal linguistic measures were lexico-semantic (40%), followed by NLP-extracted features (26%) and morphological consistency features (20%). Artificial intelligence applied to linguistic markers provides valuable insights into PD. However, analyzing measures derived from narrative discourse can be time-consuming, and utilizing ML requires specialized expertise. Moving forward, it is important to focus on facilitating the integration of both narrative discourse analysis and artificial intelligence into clinical practice.
Improving Outcomes in People with Spinal Cord Injury: Encouraging Results from a Multidisciplinary Advanced Rehabilitation Pathway
Authors: Maggio Maria Grazia , Bonanno Mirjam , Manuli Alfredo , Calabrò Rocco Salvatore
Published: January 2024

Spinal cord injury (SCI) consists of damage to any segment of the spinal cord extending to potential harm to nerves in the cauda equina. Rehabilitative efforts for SCI can involve conventional physiotherapy, innovative technologies, as well as cognitive treatment and psychological support. The aim of this study is to evaluate the feasibility of a dedicated, multidisciplinary, and integrated intervention path for SCI, encompassing both conventional and technological interventions, while observing their impact on cognitive, motor, and behavioral outcomes and the overall quality of life for individuals with SCI. Forty-two patients with SCI were included in the analysis utilizing electronic recovery system data. The treatment regimen included multidisciplinary rehabilitation approaches, such as traditional physiotherapy sessions, speech therapy, psychological support, robotic devices, advanced cognitive rehabilitation, and other interventions. Pre–post comparisons showed a significant improvement in lower limb function (Fugl Meyer Assessment-FMA < 0.001), global cognitive functioning (Montreal Cognitive Assessment-MoCA p < 0.001), and perceived quality of life at both a physical and mental level (Short Form-12-SF-12 p < 0.001). Furthermore, we found a significant reduction in depressive state (Beck Depression Inventory-BDI p < 0.001). In addition, we assessed patient satisfaction using the Short Form of the Patient Satisfaction Questionnaire (PSQ), offering insights into the subjective evaluation of the intervention. In conclusion, this retrospective study provides positive results in terms of improvements in motor function, cognitive functions, and quality of life, highlighting the importance of exploring multidisciplinary approaches.
The Effect of Childhood Poly-Victimization on Adulthood Aggression: The Mediating Role of Different Impulsivity Traits
Authors: Bartelen Demi C. , Bogaerts Stefan , Janković Marija
Published: January 2024

This study investigated the effect of the poly-victimization pattern of traumatic childhood experiences on aggression via the impulsivity traits positive urgency, negative urgency, lack of perseverance, lack of premeditation, and sensation-seeking in 102 poly-victims of childhood trauma (71.57% were females; Mage = 35.76; SDage = 15.91). Analyses with poly-victimization as an independent variable, impulsivity traits as parallel mediators, (1) reactive aggression or (2) proactive aggression as dependent variables, and gender as a covariate revealed that the poly-victimization did not have a direct or indirect effect on reactive or proactive aggression, nor did it have an effect on any of the impulsivity traits. Moreover, lack of premeditation had a positive direct effect on reactive aggression, while gender was a significant covariate in both models, with males reporting more aggression than females. Findings suggest that the poly-victimization does not influence impulsivity traits and aggression in adulthood. However, in males, the poly-victimization had a positive and moderate correlation with reactive aggression and negative urgency, while these correlations were absent in females. This finding implies that males are more vulnerable to the adverse effects of childhood poly-victimization than females.
Collaborative BIM-Based Construction Coordination Progress Modeling Using Extended Collaborative Process Modeling (exCPM)
Authors: Shim Jae-Hyung , Ham Nam-Hyuk , Kim Jae-Jun
Published: January 2024

Agile project management pursues repetitive and continuous management through an empirical process control method considering the complexity of the project. This study aimed to propose a collaborative Building Information Modeling (BIM)-based work process, focusing on construction coordination tasks among participants during the construction phase of a project. The theoretical framework chosen for this endeavor was the Scrum framework, selected after analyzing previous research to align with the specific characteristics of construction coordination. Using the Scrum framework as a foundation, the study employed the exCPM methodology to model the collaborative BIM-based construction coordination progress. To validate the model, it underwent a transformation into a Petri-Nets model through the marked graph building block (MGBB) along with established rules for model conversion. The converted model was then subjected to validation through reachability tree analysis. The findings of this study hold applicability to diverse collaboration processes that leverage BIM in the construction industry.
Blastic Plasmacytoid Dendritic Cell Neoplasm: A Comprehensive Review of the Disease, Central Nervous System Presentations, and Treatment Strategies
Authors: Mehra Shefali , Taylor Justin
Published: January 2024

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare, aggressive hematologic malignancy with poor outcomes. The World Health Organization (WHO) redefined BDCN as a distinct disease entity in 2016. BPDCN arises from plasmacytoid dendritic cells, manifesting primarily in the skin, bone marrow, and lymph nodes, occasionally involving the central nervous system (CNS). This presents challenges in diagnosis and treatment, with CNS involvement often overlooked in standard diagnostic workups due to BPDCN’s rarity and patients often being neurologically asymptomatic at diagnosis. CNS involvement typically emerges during relapse, yet clinical trials often exclude such cases, limiting our understanding of its development and treatment. Treatment options for CNS involvement include intrathecal (IT) chemotherapies like methotrexate and cytarabine, often in combination with systemic agents. Tagraxofusp and traditional regimens for acute myeloid leukemia show limited success at preventing CNS relapse, prompting exploration of combined therapies like hyperfractionated cyclophosphamide, vincristine, doxorubicin, and dexamethasone (HyperCVAD) with venetoclax and adding IT chemotherapy to other backbones. Ongoing clinical trials investigating emerging therapies offer hope despite limited focus on CNS implications. Trials incorporating CNS-involved patients aim to pioneer novel treatment approaches, potentially reshaping BPDCN management. Understanding CNS involvement’s complexities in BPDCN remains crucial for tailored treatments and better patient outcomes.
Simplifying Genotyping of Mutants from Genome Editing with a Parallel qPCR-Based iGenotype Index
Authors: Fu Liezhen , Wang Shouhong , Liu Lusha , Shibata Yuki , Okada Morihiro , Luu Nga , Shi Yun-Bo
Published: January 2024

Targeted genome editing is a powerful tool in reverse genetic studies of gene function in many aspects of biological and pathological processes. The CRISPR/Cas system or engineered endonucleases such as ZFNs and TALENs are the most widely used genome editing tools that are introduced into cells or fertilized eggs to generate double-strand DNA breaks within the targeted region, triggering cellular DNA repair through either homologous recombination or non-homologous end joining (NHEJ). DNA repair through the NHEJ mechanism is usually error-prone, leading to point mutations or indels (insertions and deletions) within the targeted region. Some of the mutations in embryos are germline transmissible, thus providing an effective way to generate model organisms with targeted gene mutations. However, point mutations and short indels are difficult to be effectively genotyped, often requiring time-consuming and costly DNA sequencing to obtain reliable results. Here, we developed a parallel qPCR assay in combination with an iGenotype index to allow simple and reliable genotyping. The genotype-associated iGenotype indexes converged to three simple genotype-specific constant values (1, 0, −1) regardless of allele-specific primers used in the parallel qPCR assays or gene mutations at wide ranges of PCR template concentrations, thus resulting in clear genotype-specific cutoffs, established through statistical analysis, for genotype identification. While we established such a genotyping assay in the Xenopus tropicalis model, the approach should be applicable to genotyping of any organism or cells and can be potentially used for large-scale, automated genotyping.
Mitochondria: A Promising Convergent Target for the Treatment of Amyotrophic Lateral Sclerosis
Authors: Cunha-Oliveira Teresa , Montezinho Liliana , Simões Rui F. , Carvalho Marcelo , Ferreiro Elisabete , Silva Filomena S. G.
Published: January 2024

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive loss of motor neurons, for which current treatment options are limited. Recent studies have shed light on the role of mitochondria in ALS pathogenesis, making them an attractive therapeutic intervention target. This review contains a very comprehensive critical description of the involvement of mitochondria and mitochondria-mediated mechanisms in ALS. The review covers several key areas related to mitochondria in ALS, including impaired mitochondrial function, mitochondrial bioenergetics, reactive oxygen species, metabolic processes and energy metabolism, mitochondrial dynamics, turnover, autophagy and mitophagy, impaired mitochondrial transport, and apoptosis. This review also highlights preclinical and clinical studies that have investigated various mitochondria-targeted therapies for ALS treatment. These include strategies to improve mitochondrial function, such as the use of dichloroacetate, ketogenic and high-fat diets, acetyl-carnitine, and mitochondria-targeted antioxidants. Additionally, antiapoptotic agents, like the mPTP-targeting agents minocycline and rasagiline, are discussed. The paper aims to contribute to the identification of effective mitochondria-targeted therapies for ALS treatment by synthesizing the current understanding of the role of mitochondria in ALS pathogenesis and reviewing potential convergent therapeutic interventions. The complex interplay between mitochondria and the pathogenic mechanisms of ALS holds promise for the development of novel treatment strategies to combat this devastating disease.
Advances in the Generation of Constructed Cardiac Tissue Derived from Induced Pluripotent Stem Cells for Disease Modeling and Therapeutic Discovery
Authors: Roland Truman J. , Song Kunhua
Published: January 2024

The human heart lacks significant regenerative capacity; thus, the solution to heart failure (HF) remains organ donation, requiring surgery and immunosuppression. The demand for constructed cardiac tissues (CCTs) to model and treat disease continues to grow. Recent advances in induced pluripotent stem cell (iPSC) manipulation, CRISPR gene editing, and 3D tissue culture have enabled a boom in iPSC-derived CCTs (iPSC-CCTs) with diverse cell types and architecture. Compared with 2D-cultured cells, iPSC-CCTs better recapitulate heart biology, demonstrating the potential to advance organ modeling, drug discovery, and regenerative medicine, though iPSC-CCTs could benefit from better methods to faithfully mimic heart physiology and electrophysiology. Here, we summarize advances in iPSC-CCTs and future developments in the vascularization, immunization, and maturation of iPSC-CCTs for study and therapy.
Changes in the Composition of Unstimulated and Stimulated Saliva Due to Chewing Sour Cherry Gum and a Toothbrush Change
Authors: Skopkó Boglárka Emese , Homoki Judit Rita , Fazekas Mónika Éva , Paholcsek Melinda , Fauszt Péter , Dávid Péter , Stündl László , Molnár Piroska Bíróné , Forgács Ildikó Noémi , Váradi Judit , Bágyi Kinga Ágnes , Remenyik Judit
Published: January 2024

Background: Our previous studies demonstrated that sour cherry anthocyanins (AC) reduce the salivary count of Streptococcus mutans and inhibit salivary amylase activity within 30 minutes after chewing AC gum. AC gum and changing toothbrushes after scaling reduced the Gram-negative species in the unstimulated salivary microbiota. The present study examined the effect of AC gums on salivary factors, including changes in microbiome. Methods: The study was conducted over three weeks with two groups; young adults (18–30) and adults (30–45). Ten participants changed their toothbrushes, while the other 10 participants did not change after the control period. After scaling, all participants received three doses of AC gum daily. The salivary mRNA and protein levels of cytokines, mucins, melatonin, and the microbiota of unstimulated and stimulated saliva were determined by polymerase chain reaction, enzyme-linked immunosorbent assay, and 16S rRNA gene sequencing. Results: Significantly higher levels of tumor necrosis factor α (TNFα), interleukin-1β (IL-1β), mucin5B (MUC5B), mucin7 (MUC7), and melatonin were detected in stimulated saliva. Correlation analysis of these factors with the microbiota showed positive correlations with the genera Lachnospiraceae, Eikenella, Saccharibacteria_(TM7), Streptococcus, Prevotella, and Haemophilus. Conclusions: AC chewing gum has a beneficial effect on the composition of the oral microbiome, and toothbrush replacement leads to changes in the levels of salivary pro-inflammatory cytokines.
Effects of Niobium Carbide Additions on Ni-Based Superalloys: A Study on Microstructures and Cutting-Wear Characteristics through Plasma-Transferred-Arc-Assisted Deposition
Authors: Chen Kuan-Jen , Lin Hung-Mao
Published: January 2024

This study applied plasma transferred arc (PTA) welding to fabricate hard cladding layers by using nickel-based superalloy (NCR7) and niobium carbide (NbC) powders as filler material. The resultant composite claddings were coated onto ductile iron and then analyzed to understand the effect of different quantities of NbC on the solidification structures of the cladding layers and on the characteristics of the interface between the cladding layers and the ductile iron. Cutting tests were also conducted to assess the morphology and mechanism of flank wear on PTA NbC/NCR7 composite cladding tools. The results revealed that the cladding specimens’ microstructures comprised a mixture of dendrites and interdendritic eutectics along with a considerable quantity of carbides (MC, M7C3, and M23C6) scattered within the γ-Ni matrix. Incorporating considerable NbC carbide enhanced the claddings’ surface hardness, but it had a limited effect on improving the flank wear on the turning tools. The flank wear on the composite cladding tools intensified as the NbC content was increased. The wear behavior, defined by brittle fractures and stripped NbC particles, led to a decline in turning tool performance. Accordingly, the Ni-based alloy composite cladding with larger NbC particles appears more suitable for sliding or erosion applications under normal stress conditions.
Interface Interaction between MoO3 and Carbon Dots Derived from Chitosan Promoted the Photocurrent Extraction Ability of Carriers in a Wide Range of the Light Spectrum
Authors: Ma Xingfa , Gao Mingjun , Zhang Xintao , Wang You , Li Guang
Published: January 2024

Due to the large number of defects at the grain boundaries of nanocomposites, defects have a significant effect on the physico-chemical properties of a material. Therefore, controlling the charging behaviour of functional nanocomposites in a non-contact manner with a light field can improve their physical and chemical properties. Chitosan-derived carbon dots were synthesised by exploiting the abundant N element in chitosan. In order to passivate the defects of chitosan-derived carbon dots, a MoO3/carbon dot nanocomposite was constructed in this study to tailor the band gap and improve the extraction ability of carriers through light induction. The results showed that the strong interfacial interaction between MoO3 and carbon dots enhanced the optical absorption and interfacial charge transfer in the visible and some near-infrared regions. The resulting MoO3/carbon dot heterostructure was coated on A4 printing paper, and electrodes were integrated in the coating film. The photocurrent signals of the thick film were investigated using 405, 532, 650, 808, 980 and 1064 nm light sources. The results indicated that the phenomenon of photocurrent switching to the visible light and some near-infrared light regions was observed. The charge carrier extraction ability of the MoO3/carbon dot nanocomposite through light triggering was much better than that of chitosan-derived carbon dots. The on/off ratio and response speed of the MoO3/carbon dot nanocomposite were significantly improved. The physical mechanism was discussed based on the ordered and disordered structures of polymer-derived carbon nanomaterials. This material could be applicable to the development of broadband flexible photosensors, artificial vision or light-utilising interdisciplinary fields.
EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom
Authors: Kiflie Mulugeta Adibaru , Sharma Durga Prasad , Haile Mesfin Abebe , Srinivasagan Ramasamy
Published: January 2024

Ethiopia is renowned for its rich biodiversity, supporting a diverse variety of medicinal plants with significant potential for therapeutic applications. In regions where modern healthcare facilities are scarce, traditional medicine emerges as a cost-effective and culturally aligned primary healthcare solution in developing countries. In Ethiopia, the majority of the population, around 80%, and for a significant proportion of their livestock, approximately 90% continue to prefer traditional medicine as their primary healthcare option. Nevertheless, the precise identification of specific plant parts and their associated uses has posed a formidable challenge due to the intricate nature of traditional healing practices. To address this challenge, we employed a majority based ensemble deep learning approach to identify medicinal plant parts and uses of Ethiopian indigenous medicinal plant species. The primary objective of this research is to achieve the precise identification of the parts and uses of Ethiopian medicinal plant species. To design our proposed model, EfficientNetB0, EfficientNetB2, and EfficientNetB4 were used as benchmark models and applied as a majority vote-based ensemble technique. This research underscores the potential of ensemble deep learning and transfer learning methodologies to accurately identify the parts and uses of Ethiopian indigenous medicinal plant species. Notably, our proposed EfficientNet-based ensemble deep learning approach demonstrated remarkable accuracy, achieving a significant test and validation accuracy of 99.96%. Future endeavors will prioritize expanding the dataset, refining feature-extraction techniques, and creating user-friendly interfaces to overcome current dataset limitations.
Impedance Spectroscopy of Fe and La-Doped BaTiO3 Ceramics
Authors: Adamczyk-Habrajska Malgorzata , Wodecka-Dus Beata , Goryczka Tomasz , Makowska Jolanta
Published: January 2024

A wide range of the interesting properties of electroceramics Ba0.996La0.004Ti0.999O3 (BLT4) undoubtedly deserves differentiation and optimization. For this purpose, the corresponding donor oxide dope Fe2O3 was introduced in excess quantities into the base ceramics. In this way, an innovative ceramic material with the general formula of Ba0.996La0.004Ti1−yFeyO3 (BLTF), for y = 0.001, 0.002, 0.003, 0.004, has been produced. The crystal structure of BLTF ceramics was investigated using X-ray diffraction. The diffraction peaks in XRD confirm the formation of the tetragonal perovskite phase. The electrical properties of BLTF ceramics have been tested using impedance spectroscopy, in the frequency range of 20 Hz–2 MHz and the temperature range of 20–580 °C. To gain absolute certainty on the consistency of the measured data, the obtained impedance spectra were analyzed using the Kramers–Kronig method. The usage of an equivalent circuit, proposed by the authors, allowed grain and grain boundary resistivity to be obtained. Based on the diagram of the natural logarithm of the mentioned resistivity versus the reciprocal absolute temperature, the activation energies of the conductivity processes have been determined. The values of activation energies indicated that the admixture of iron introduced into the BLT4 ceramics played a crucial role in the conductivity of grains and intergranular borders.
Microstructural Evolution of Ni-Stanogermanides and Sn Segregation during Interfacial Reaction between Ni Film and Ge1−xSnx Epilayer Grown on Si Substrate
Authors: Jang Han-Soo , Kim Jong Hee , Janardhanam Vallivedu , Jeong Hyun-Ho , Kim Seong-Jong , Choi Chel-Jong
Published: January 2024

The Ni-stanogermanides were formed via an interfacial reaction between Ni film and a Ge1−xSnx (x = 0.083) epilayer grown on a Si substrate driven by thermal treatment, and their microstructural and chemical features were investigated as a function of a rapid thermal annealing (RTA) temperature. The Ni3(Ge1−xSnx) phase was formed at the RTA temperature of 300 °C, above which Ni(Ge1−xSnx) was the only phase formed. The fairly uniform Ni(Ge1−xSnx) film was formed without unreactive Ni remaining after annealing at 400 °C. However, the Ni(Ge1−xSnx) film formed at 500 °C exhibited large surface and interface roughening, followed by the formation of Ni(Ge1−xSnx) islands eventually at 600 °C. The Sn concentration in Ni(Ge1−xSnx) gradually decreased with increasing RTA temperature, implying the enhancement of Sn out-diffusion from Ni(Ge1−xSnx) grains during the Ni-stanogermanidation process at higher temperature. The out-diffused Sn atoms were accumulated on the surface of Ni(Ge1−xSnx), which could be associated with the low melting temperature of Sn. On the other hand, the out-diffusion of Sn atoms from Ni(Ge1−xSnx) along its interface was dominant during the Ni/Ge1−xSnx interfacial reaction, which could be responsible for the segregation of metallic Sn grains that were spatially confined near the edge of Ni(Ge1−xSnx) islands.
Comparison of Diagnostic Performance between Classic and Modified Abbreviated Breast MRI and the MRI Features Affecting Their Diagnostic Performance
Authors: Lee Subin , Choi Eun Jung , Choi Hyemi , Byon Jung Hee
Published: January 2024

Abbreviated breast magnetic resonance imaging (AB-MRI) has emerged as a supplementary screening tool, though protocols have not been standardized. The purpose of this study was to compare the diagnostic performance of modified and classic AB-MRI and determine MRI features affecting their diagnostic performance. Classic AB-MRI included one pre- and two post-contrast T1-weighted imaging (T1WI) scans, while modified AB-MRI included a delayed post-contrast axial T1WI scan and an axial T2-weighted interpolated scan obtained between the second and third post-contrast T1WI scans. Four radiologists (two specialists and two non-specialists) independently categorized the lesions. The MRI features investigated were lesion size, lesion type, and background parenchymal enhancement (BPE). The Wilcoxon rank-sum test, Fisher’s exact test, and bootstrap-based test were used for statistical analysis. The average area under the curve (AUC) for modified AB-MRI was significantly greater than that for classic AB-MRI (0.76 vs. 0.70, p = 0.010) in all reader evaluations, with a similar trend in specialist evaluations (0.83 vs. 0.76, p = 0.004). Modified AB-MRI demonstrated increased AUCs and better diagnostic performance than classic AB-MRI, especially for lesion size > 10 mm (p = 0.018) and mass lesion type (p = 0.014) in specialist evaluations and lesion size > 10 mm (p = 0.003) and mild (p = 0.026) or moderate BPE (p = 0.010) in non-specialist evaluations.
Asymptotic Expansion and Weak Approximation for a Stochastic Control Problem on Path Space
Authors: Kannari Masaya , Naito Riu , Yamada Toshihiro
Published: January 2024

The paper provides a precise error estimate for an asymptotic expansion of a certain stochastic control problem related to relative entropy minimization. In particular, it is shown that the expansion error depends on the regularity of functionals on path space. An efficient numerical scheme based on a weak approximation with Monte Carlo simulation is employed to implement the asymptotic expansion in multidimensional settings. Throughout numerical experiments, it is confirmed that the approximation error of the proposed scheme is consistent with the theoretical rate of convergence.
Simulation of Radial Growth of Mongolian Pine (Pinus sylvestris var. mongolica) and Dahurian Larch (Larix gmelinii) Using the Vaganov–Shashkin Model in the Greater Khingan Range, Northeast China
Authors: Zhong Shubing , Wang Zhaopeng , Zhang Dongyou , Luo Taoran , Wang Xinrui , Mi Tingxuan
Published: January 2024

It is necessary to understand the radial growth responses of trees in the Greater Khingan Range to climatic factors to predict changes in forest ecosystems under climate change scenarios. We sampled Mongolian pine (Pinus sylvestris var. mongolica) and Dahurian larch (Larix gmelinii (Rupr.) Kuzen) at four locations at elevations of 900–1100 m in the Greater Khingan Range to establish a tree-ring chronology. The Vaganov–Shashkin (VS) model was used to describe the relationship between tree radial growth and the dominant limiting climatic factors with a focus on physiological processes. The results showed that the VS model accurately reflected the effects of various climatic factors on the growth of Mongolian pine and Dahurian larch. The simulated and measured tree-ring widths index (RWI, the same as below) were consistent. The physiological parameters affecting tree growth differed for the two tree species in the study area. Mongolian pine required higher temperatures and less soil moisture for growth than Dahurian larch. The growth rings of the two tree species are more consistent across the elevation gradient. Higher-elevation trees had an “intensive strategy” with shorter growing periods and high growth rates, whereas low-elevation tree species had a “broad strategy” with lower maximum growth rates for longer periods. The start and cessation date of tree growth strongly affected the RWI of Mongolian pine and high-elevation Dahurian larch, but no significant effect on the RWI of low-elevation Dahurian larch. Differences in the limiting climatic factors were observed between Mongolian pine and Dahurian larch. Mongolian pine shows some similarity between high and low elevations, subject to the common limitations of temperature and soil moisture during the growing season for both, with a greater proportion of the lower elevations being limited by soil moisture. Dahurian larch was influenced by the growing season temperatures and May–August soil moisture at higher elevations and by the growing season soil moisture at lower elevations. This study provides a scientific basis for the management and conservation of forest ecosystems in the Greater Khingan Range.
Study of Selective Modification Effect of Constructed Structural Color Layers on EUROPEAN Beech Wood Surfaces
Authors: Hu Jing , Liu Yi , Wang Jinxiang , Xu Wei
Published: January 2024

In this study, the brush method was used to construct structural color layers on the surface of European beech wood, which has wide rays. The purpose was to expand the research on the structural color modification of wood surfaces and to promote its industrial application. By comparing the structural color layers constructed through brushing on beech wood and glass surfaces, the construction speed on the wood surface was significantly faster than that on the glass surface, which was mainly attributed to the porous structure and hydrophilicity of the wood, which made the solvents to be absorbed quickly, greatly improving construction efficiency. At the same time, the wide-ray regions of the European beech wood showed distinct and excellent structural color modification effects. This specific effect was not only reflected in faster construction speeds than other regions, but also in a complete and full-color block. Moreover, by changing the particle size, raw material, and structure of the microspheres, and by brushing several times, the special construction phenomenon and decorative effect still existed. By characterizing the surface morphology and roughness of beech wood, it was found that the surface of the wide rays was flatter than other anatomical structural regions, which was more conducive to the self-assembly of microspheres and the formation of a structural color layer. The results of this study will help to advance the development of technologies such as structural color-selective modification of wood surfaces.