bluuebunny/crossref_metadata_2025 huggingface dataset:
Advances in Dairy Cattle Reproduction—A Foreword
Authors: López-Gatius Fernando
Published: September 2024

Dairy cattle have played an important role in economic development since the beginning of agriculture [...]
Antibiotic Prescribing Trends in Dentistry during Ten Years’ Period—Croatian National Study
Authors: Šutej Ivana , Bašić Krešimir , Šegović Sanja , Peroš Kristina
Published: September 2024

Prescribing antibiotics is a regular part of daily dental practice. Antibiotics have a significant but a limited role in general dental practice due to the threat of emergence of antimicrobial resistance (AMR). As such, the aim of this study was to assess prescribing trends in dental antibiotics use from 2014–2023 in Croatia. Data on antibiotic prescribing practices for this study were provided by the Croatian Health Insurance Fund. The analysis included the number of prescriptions, packages, cost, and the World Health Organization’s defined daily dose per 1000 inhabitants (DID) per day as an objective utilization for comparison. Over the 10-year period, dentists in Croatia prescribed an annual average of 357,875 antibiotic prescriptions, representing an annual average of 78.7% of all dental prescriptions. The most commonly prescribed antibiotic was the combination of amoxicillin and the beta-lactamase inhibitor clavulanic acid, which made up 58.54% of antibiotics and 46.1% of all dental prescriptions. This was followed by amoxicillin (12.61%), clindamycin (12.58%), and metronidazole (9.96%). The trend showed two discontinuations, the first for the pandemic years, and the second caused by disruption in amoxicillin production. The rise in the use of broad-spectrum antibiotics needs to be addressed and regulated to ensure patients and dentists understand that antibiotics are not a substitute for dental treatment. Dentists should always begin treatment with narrow-spectrum antibiotics regardless of possible exceptional circumstances.
Solving Arithmetic Word Problems by Synergizing Large Language Model and Scene-Aware Syntax–Semantics Method
Authors: Peng Rao , Huang Litian , Yu Xinguo
Published: September 2024

Developing Arithmetic Word Problem (AWP) -solving algorithms has recently become one of the hottest research areas because it can simultaneously advance general artificial intelligence and the application of AI technology in education. This paper presents a novel algorithm for solving AWPs by synergizing Large Language Models (LLMs) with the Scene-Aware Syntax–Semantics (S2) method. The innovation of this algorithm lies in leveraging the LLM to divide problems into multiple scenes, thereby enhancing the relation-flow approach in the processes of relation extraction and reasoning. Our algorithm consists of three components: scene decomposer, relation extractor, and symbolic solver. In the scene decomposer, we propose the Chain-Of-Scene (COS) method. It dynamically constructs prompts for the LLM using a retrieval-augmented strategy, thus enabling the chain-formed generation of scenes from the input problem. In the relation extractor, we introduce the Scene-Aware S2 method, which utilizes syntax–semantics models to match the text within each scene and convert it into relations. This allows for the efficient and accurate extraction of explicit and implicit relations. Finally, a symbolic solver is employed to reason through the set of relations to derive the solution. Experimental results on six authoritative datasets demonstrate that the proposed algorithm achieves an average solving accuracy of 90.4%, outperforming the State-Of-The-Art (SOTA) algorithm by 1.1%. The case study further illustrates that it outputs more reliable solutions than baseline algorithms. These findings have significant implications for promoting smart education and developing personalized intelligent tutoring systems.
Leveraging Static and Dynamic Wear Leveling to Prolong the Lifespan of Solid-State Drives
Authors: Shin Ilhoon
Published: September 2024

In order to extend the lifespan of SSDs, it is essential to achieve wear leveling that evenly distributes the accumulated erase counts of NAND blocks, thereby delaying the occurrence of bad blocks as much as possible. This paper proposes the Greedy-MP policy, integrating static and dynamic wear leveling. When a specific block exhibits excessive erasures surpassing a defined threshold, Greedy-MP initiates the migration of cold data, expected to undergo infrequent modifications, to that block. Additionally, migrated blocks are excluded as candidates for garbage collection until their erase counts reach a similar level to others, preventing premature transition into bad blocks. Performance evaluations demonstrate that Greedy-MP achieves the longest lifespan across all test scenarios. Compared to policies solely utilizing static wear leveling like PWL, it extends the lifespan by up to 1.72 times. Moreover, when integrated with dynamic wear leveling policies such as CB alongside static wear leveling like PWL, it extends the lifespan by up to 1.99 times. Importantly, these extensions are achieved without sacrificing performance. By preserving garbage collection efficiency, Greedy-MP delivers the shortest average response time for I/O requests.
The Influence of Minor Additions of La and Ce on the Microstructural Components and Forming Properties of Al-1.4Fe Alloys
Authors: Vončina Maja , Medved Jožef , Bombač David , Ozimič Klavdija
Published: September 2024

This study investigated the microstructural constituents and forming properties of alloy Al-1.4 wt.% Fe with different additions of Ce and/or La. The addition of rare earth (RE) elements to aluminum alloys improves their microstructures in their as-cast and heat-treated states. RE additions and appropriate heat treatment also improve their mechanical properties. The influence of the homogenization process on the microstructure and forming properties of Al-1.4 wt.% Fe alloy with various additions of Ce and/or La was investigated. When homogenizing the Al-1.4 wt.% Fe alloy at 580 °C, the majority of the homogenization process is completed after 6 h; at 600 °C, after about 5 h; and at 620 °C, after about 4 h. In the micro-alloyed Al-1.4 wt.%–Fe alloy, α-Al, stable Al13Fe4 phases in an agglomerated form, La-containing phases in a spherical form, and Ce-containing phases in a rod-shaped form are present after homogenization. The addition of La was shown to be advantageous as a micro-addition to Al–Fe alloys. Its forming properties show that the combination of Ce and La is the most favorable addition, whereby the homogenization process is fully optimized.
Combination of a Natural Bioactive Compound and High-Hydrostatic-Pressure Treatment to Increase the Shelf-Life and Quality of Pork Meat
Authors: Csurka Tamás , Fekete Zoltán , Visy Anna , Hidas Karina Ilona , Dalmadi István , Horváth Ferenc , Friedrich László Ferenc , Jónás Gábor
Published: September 2024

Currently, there is a growing demand for ready-to-eat, prepared, high-quality, preservative-free products. However, the shelf-life of these products is often so short that a relatively high percentage of these products cannot be sold and end up as food waste. In this study, pork loin with different marinades (paprika and herbs) was treated with different high hydrostatic pressures (0 MPa, 300 MPa, 450 MPa and 600 MPa) and a bioactive component (piperine) and then the quality of the meat was examined after 0, 4, 8, 12 and 14 days of cold storage. Changes were monitored using color, pH, texture and microbiological analyses. Both pressure, piperine enrichment, storage time and the interactions of different factors had a significant effect on the quality of the loin samples with different marinades. Due to the denaturation of myoglobin, meat slices were less red and lighter after HHP treatment. The addition of piperine reduced this lightness. The pH increased with increasing pressure and decreased with storage time. HHP treatment significantly increased meat hardness, with samples treated at 600 MPa being 19% harder than those treated at 450 MPa. Microbiological results indicated that HHP at 450 MPa and 600 MPa effectively reduced anaerobic total live plate counts, ensuring satisfactory sensory and microbiological quality throughout storage. Piperine fortification also resulted in a more favorable microbiological status during storage without any perceptible change in quality properties during storage. These findings underscore the effectiveness of HHP and piperine enrichment in enhancing the safety and quality of marinated meats.
Therapeutic Strategy and Clinical Path of Facioscapulohumeral Muscular Dystrophy: Review of the Current Literature
Authors: Xie Qi , Ma Guangmei , Song Yafeng
Published: September 2024

Facioscapulohumeral muscular dystrophy (FSHD) is an autosomal dominant genetic disease, which is caused by the mistaken expression of double homeobox protein 4 protein 4 (DUX4) in skeletal muscle. Patients with FSHD are usually accompanied by degenerative changes in the face, shoulders, and upper muscles, gradually accumulating in the lower limb muscles. The severity of patients is quite different, and most patients end up using wheelchairs and losing their self-care ability. At present, the exploration of treatment strategies for FSHD has shifted from relieving symptoms to gene therapy, which brings hope to the future of patients, but the current gene therapy is only in the clinical trial stage. Here, we conducted a comprehensive search of the relevant literature using the keywords FSHD, DUX4, and gene therapy methods including ASOs, CRISPR, and RNAi in the PubMed and Web of Science databases. We discussed the current advancements in treatment strategies for FSHD, as well as ongoing preclinical and clinical trials related to FSHD. Additionally, we evaluated the advantages and limitations of various gene therapy approaches targeting DUX4 aimed at correcting the underlying genetic defect.
Toward Smart SCADA Systems in the Hydropower Plants through Integrating Data Mining-Based Knowledge Discovery Modules
Authors: Grigoras Gheorghe , Gârbea Răzvan , Neagu Bogdan-Constantin
Published: September 2024

The increasing importance of hydropower generation has led to the development of new smart technologies and the need for reliable and efficient equipment in this field. As long as hydropower plants are more complex to build up than other power plants, the operation regimes and maintenance activities become essential for the hydropower companies to optimize their performance, such that including the data-driven approaches in the decision-making process represents a challenge. In this paper, a comprehensive and multi-task framework integrated into a Knowledge Discovery module based on Data Mining to support the decisions of the operators from the control rooms and facilitate the transition from the classical to smart Supervisory Control and Data Acquisition (SCADA) system in hydropower plants has been designed, developed, and tested. It integrates tasks related to detecting the outliers through advanced statistical procedures, identifying the operating regimes through the patterns associated with typical operating profiles, and developing strategies for loading the generation units that consider the number of operating hours and minimize the water amount used to satisfy the power required by the system. The proposed framework has been tested using the SCADA system’s database of a hydropower plant belonging to the Romanian HydroPower Company. The framework can offer the operators from the control room comparative information for a time horizon longer than one year. The tests demonstrated the utility of a Knowledge Discovery module to ensure the transition toward smart SCADA systems that will help the decision-makers improve the management of the hydropower plants.
Construction of Cultural Heritage Knowledge Graph Based on Graph Attention Neural Network
Authors: Wang Yi , Liu Jun , Wang Weiwei , Chen Jian , Yang Xiaoyan , Sang Lijuan , Wen Zhiqiang , Peng Qizhao
Published: September 2024

To address the challenges posed by the vast and complex knowledge information in cultural heritage design, such as low knowledge retrieval efficiency and limited visualization, this study proposes a method for knowledge extraction and knowledge graph construction based on graph attention neural networks (GAT). Using Tang Dynasty gold and silver artifacts as samples, we establish a joint knowledge extraction model based on GAT. The model employs the BERT pretraining model to encode collected textual knowledge data, conducts sentence dependency analysis, and utilizes GAT to allocate weights among entities, thereby enhancing the identification of target entities and their relationships. Comparative experiments on public datasets demonstrate that this model significantly outperforms baseline models in extraction effectiveness. Finally, the proposed method is applied to the construction of a knowledge graph for Tang Dynasty gold and silver artifacts. Taking the Gilded Musician Pattern Silver Cup as an example, this method provides designers with a visualized and interconnected knowledge collection structure.
Seismic Identification and Characterization of Deep Strike-Slip Faults in the Tarim Craton Basin
Authors: Tian Fei , Zheng Wenhao , Zhao Aosai , Liu Jingyue , Liu Yunchen , Zhou Hui , Cao Wenjing
Published: September 2024

Through hydrocarbon explorations, deep carbonate reservoirs within a craton were determined to be influenced by deep strike-slip faults, which exhibit small displacements and are challenging to identify. Previous research has established a correlation between seismic attributes and deep geological information, wherein large-scale faults can cause abrupt waveform discontinuities. However, due to the inherent limitations of seismic datasets, such as low signal-to-noise ratios and resolutions, accurately characterizing complex strike-slip faults remains difficult, resulting in increased uncertainties in fault characterization and reservoir prediction. In this study, we integrate advanced techniques such as principal component analysis and structure-oriented filtering with a fault-centric imaging approach to refine the resolution of seismic data from the Tarim craton. Our detailed evaluation encompassed 12 distinct seismic attributes, culminating in the creation of a sophisticated model for identifying strike-slip faults. This model incorporates select seismic attributes and leverages fusion algorithms like K-means, ellipsoid growth, and wavelet transformations. Through the technical approach introduced in this study, we have achieved multi-scale characterization of complex strike-slip faults with throws of less than 10 m. This workflow has the potential to be extended to other complex reservoirs governed by strike-slip faults in cratonic basins, thus offering valuable insights for hydrocarbon exploration and reservoir characterization in similar geological settings.
Anaesthetic Effect of Clove Basil (Ocimum gratissimum) Essential Oil on Macrobrachium rosenbergii Post-Larvae
Authors: de Souza Valente Cecília , Mendes Arielly Fávaro , do Nascimento Ferreira Caio Henrique , Baldisserotto Bernardo , Heinzmann Berta Maria , Vaz-dos-Santos André Martins , Ballester Eduardo Luis Cupertino
Published: September 2024

This study evaluated the anaesthetic potential of clove basil (Ocimum gratissimum) essential oil (EO-OG) in the post-larvae (PLs) of M. rosenbergii. The PLs were individually transferred to aquariums (500 mL) containing 50, 100, 150, 200, or 300 μL L−1 EO-OG. A sixth group of PLs was exposed to freshwater only, and a seventh group was exposed to the highest concentration of ethanol used to dilute EO-OG. Upon reaching the anaesthesia stage, the PLs were transferred to aquariums (500 mL) with freshwater only to evaluate the recovery time. The shortest sedation times were observed at 200 (15.98 s) and 300 μL L−1 (25.85 s). The shortest anaesthesia time was observed at 200 μL L−1 (22.52 s). The longest recovery time was observed at 100 μL L−1 (1367.10 s); the shortest recovery time was observed at 150 μL L−1 (630.10 s). No mortality or adverse effects were observed in any experimental group. The concentration of 150 μL L−1 resulted in sedation (49.24 s), anaesthesia (80.10 s), and recovery (630.10 s) times within those suggested as adequate for freshwater prawn farming. This research demonstrated the sedative and anaesthetic properties of EO-OG and its potential application in prawn farming. This study recommends using 150 μL L−1 of EO-OG in M. rosenbergii PLs.
Effective Structural Parametric Form in Architecture Using Mycelium Bio-Composites
Authors: Gavriilidis Efstathios T. , Voutetaki Maristella E. , Giouzepas Dimitrios G.
Published: September 2024

This study investigates a parametric architectural design methodology that arises from the relationship between humans, architecture, and nature and utilizes modern technological means and sustainable construction materials. Specifically, it concerns a structure of mycelium bio-composite, produced at the lowest possible environmental cost. The design uses an optimal structural form to maximize the material’s efficiency. The development of the structure is initially modular, using two different types of geometric blocks. At the same time, the whole structure gradually becomes monolithic with the help of the plant part of the fungi, the mycelium. The basic 2D arch structure is initially assembled using two different geometric blocks. More complex configurations can be derived from this foundational module to meet various requirements for applications and structures. The structure will be constructed entirely of load-bearing mycelium blocks, with its geometry specifically designed to emphasize compression forms, enhancing the structural performance of the inherently weak material. This approach reflects an innovative vision for construction materials grounded in the principles of cultivation and growth from natural, earth-derived resources.
Enhancing Oral Squamous Cell Carcinoma Detection Using Histopathological Images: A Deep Feature Fusion and Improved Haris Hawks Optimization-Based Framework
Authors: Zafar Amad , Khalid Majdi , Farrash Majed , Qadah Thamir M. , Lahza Hassan Fareed M. , Kim Seong-Han
Published: September 2024

Oral cancer, also known as oral squamous cell carcinoma (OSCC), is one of the most prevalent types of cancer and caused 177,757 deaths worldwide in 2020, as reported by the World Health Organization. Early detection and identification of OSCC are highly correlated with survival rates. Therefore, this study presents an automatic image-processing-based machine learning approach for OSCC detection. Histopathological images were used to compute deep features using various pretrained models. Based on the classification performance, the best features (ResNet-101 and EfficientNet-b0) were merged using the canonical correlation feature fusion approach, resulting in an enhanced classification performance. Additionally, the binary-improved Haris Hawks optimization (b-IHHO) algorithm was used to eliminate redundant features and further enhance the classification performance, leading to a high classification rate of 97.78% for OSCC. The b-IHHO trained the k-nearest neighbors model with an average feature vector size of only 899. A comparison with other wrapper-based feature selection approaches showed that the b-IHHO results were statistically more stable, reliable, and significant (p < 0.01). Moreover, comparisons with those other state-of-the-art (SOTA) approaches indicated that the b-IHHO model offered better results, suggesting that the proposed framework may be applicable in clinical settings to aid doctors in OSCC detection.
Environmental and Climatic Drivers of Phytoplankton Communities in Central Asia
Authors: Zi Fangze , Song Tianjian , Liu Jiaxuan , Wang Huanhuan , Serekbol Gulden , Yang Liting , Hu Linghui , Huo Qiang , Song Yong , Huo Bin , Wang Baoqiang , Chen Shengao
Published: September 2024

Artificial water bodies in Central Asia offer unique environments in which to study plankton diversity influenced by topographic barriers. However, the complexity of these ecosystems and limited comprehensive studies in the region challenge our understanding. In this study, we systematically investigated the water environment parameters and phytoplankton community structure by surveying 14 artificial waters on the southern side of the Altai Mountains and the northern and southern sides of the Tianshan Mountains in the Xinjiang region. The survey covered physical and nutrient indicators, and the results showed noticeable spatial differences between waters in different regions. The temperature, dissolved oxygen, total nitrogen, and total phosphorus of artificial water in the southern Altai Mountains vary greatly. In contrast, the waters in the northern Tianshan Mountains have more consistent physical indicators. The results of phytoplankton identification showed that the phytoplankton communities in different regions are somewhat different, with diatom species being the dominant taxon. The cluster analysis and the non-metric multidimensional scaling (NMDS) results also confirmed the variability of the phytoplankton communities in the areas. The variance partitioning analysis (VPA) results showed that climatic and environmental factors can explain some of the variability of the observed data. Nevertheless, the residual values indicated the presence of other unmeasured factors or the influence of stochasticity. This study provides a scientific basis for regional water resource management and environmental protection.
Evolutionary Mechanism Based Conserved Gene Expression Biclustering Module Analysis for Breast Cancer Genomics
Authors: Yuan Wei , Li Yaming , Han Zhengpan , Chen Yu , Xie Jinnan , Chen Jianguo , Bi Zhisheng , Xi Jianing
Published: September 2024

The identification of significant gene biclusters with particular expression patterns and the elucidation of functionally related genes within gene expression data has become a critical concern due to the vast amount of gene expression data generated by RNA sequencing technology. In this paper, a Conserved Gene Expression Module based on Genetic Algorithm (CGEMGA) is proposed. Breast cancer data from the TCGA database is used as the subject of this study. The p-values from Fisher’s exact test are used as evaluation metrics to demonstrate the significance of different algorithms, including the Cheng and Church algorithm, CGEM algorithm, etc. In addition, the F-test is used to investigate the difference between our method and the CGEM algorithm. The computational cost of the different algorithms is further investigated by calculating the running time of each algorithm. Finally, the established driver genes and cancer-related pathways are used to validate the process. The results of 10 independent runs demonstrate that CGEMGA has a superior average p-value of 1.54 × 10−4 ± 3.06 × 10−5 compared to all other algorithms. Furthermore, our approach exhibits consistent performance across all methods. The F-test yields a p-value of 0.039, indicating a significant difference between our approach and the CGEM. Computational cost statistics also demonstrate that our approach has a significantly shorter average runtime of 5.22 × 100 ± 1.65 × 10−1 s compared to the other algorithms. Enrichment analysis indicates that the genes in our approach are significantly enriched for driver genes. Our algorithm is fast and robust, efficiently extracting co-expressed genes and associated co-expression condition biclusters from RNA-seq data.
Considering What Animals “Need to Do” in Enclosure Design: Questions on Bird Flight and Aviaries
Authors: Rose Paul , Freeman Marianne , Hickey Ian , Kelly Robert , Greenwell Phillip
Published: September 2024

Zoo enclosure design, and housing and husbandry protocols, will always be a compromise between what a species has evolved to do and what is possible to offer in a human-created environment. For some species, behaviours that are commonly performed in the wild may be constrained by husbandry practices that are used for ease or aesthetics or are accepted conventions. As zoos place more emphasis on positive animal welfare states, zoo enclosures should be scrutinised to check that what is provided, in terms of useful space, appropriate replication of habitat features, and maximal potential for natural behaviour performance, is relevant to the species and individuals being housed. For some species, zoos need to grapple with tough questions where the answer may not seem immediately obvious to ensure they are continuously improving standards of care, opportunities for the performance of species-typical behaviours, and advancing the attainment of positive welfare states. Determining the importance of flight, for example, and what this behaviour adds to the quality of life of a zoo-housed bird, is an important question that needs addressing to truly advance aviculture and how we determine bird welfare. This paper provides questions that should be answered and poses measures of what flight means to a bird, to provide evidence for the development and evolution of zoo bird housing. If we can devise some way of asking the animals in our care what they need, we can more firmly support decisions made that surround enclosure design, and housing decisions. Ultimately, this means gathering evidence on whether birds like to fly (e.g., from birds in training or demonstration activities) by applying mixed methods approaches of behavioural analysis, data on wild ecology, qualitative behavioural assessment, and cognitive bias testing to develop a robust suite of tools to address avian welfare considerations. Avian welfare scientists should attempt to define what meaningful flight is (i.e., flight that truly suggests a bird is flying) in order to support guidelines on aviary dimensions, space allowance, and welfare outputs from birds in both flighted and flight-restricted populations, and to determine what is most appropriate for an individual species. Changing the term “best practice” husbandry guidelines to “better practice” husbandry guidelines would instil the importance of regular review and reassessment of housing and management suitability for a species to ensure such care regimes remain appropriate. With an increasingly welfare-savvy public visiting zoos, it is essential that we seek more evidence to support and justify how birds are kept and ultimately use such evidence to enact changes to practices that are shown to infringe on avian welfare.
“It’s Different for Girls!” The Role of Anxiety, Physiological Arousal, and Subject Preferences in Primary School Children’s Math and Mental Rotation Performance
Authors: Lennon-Maslin Michelle , Quaiser-Pohl Claudia Michaela
Published: September 2024

(1) Background: This study examines the role of subjective anxiety (mathematics and spatial anxiety), along with physiological responses, in mathematics or math and mental rotation performance in 131 German primary school students (65 girls, 66 boys; Mean age = 8.73 years). (2) Method: Students’ preference for math vs. German and their subjective anxiety were assessed using standardized questionnaires. Emotional reactivity was measured using the Galvanic Skin Response (GSR). Math performance was evaluated via percentage scored and completion times on number line estimation, word problems, and missing terms tasks. Spatial skills were assessed using a novel mental rotation task (nMRT) incorporating gender-congruent and -neutral stimuli. (3) Results: Girls outperformed boys on percentage scored on the math task but took longer to complete this. No gender differences were found in performance on the nMRT. Girls demonstrated higher math anxiety and were less likely to prefer math over German. Math anxiety predicted math scores and accuracy on the nMRT while gender predicted math performance and mental rotation response time. Subject preference was associated with longer completion times and emotional reactivity with longer response times. Girls’ preference for math and lower emotional reactivity was linked to shorter completion times, while lower math anxiety predicted higher scores. In contrast, these factors did not affect boys’ math performance. Additionally, subjective anxiety, emotional reactivity, or subject preference did not impact spatial performance for either gender. (4) Conclusions: Supporting mathematical self-efficacy and emotional regulation, especially in girls, is crucial for enhancing STEM outcomes in primary education. Gender-fair assessment in mental rotation reveals equitable spatial performance and reduces the impact of anxiety.
The Properties and Behavior of Ultra-High-Performance Concrete: The Effects of Aggregate Volume Content and Particle Size
Authors: Matiushin Evgenii , Sizyakov Ivan , Shvetsova Victoria , Soloviev Vadim
Published: September 2024

Ultra-High-Performance Concrete (UHPC) and Ultra-High-Performance Fiber-Reinforced Concrete (UHPFRC) represent promising materials in the field of construction, offering exceptional strength and durability, making them ideal for the development of a wide range of infrastructure projects. One of the goals is to better understand the impact of each component of the materials on their key properties in the hardened state. This work examines the effect of the aggregate on the properties of UHPC and UHPFRC. This article provides test results for five compositions without fiber, and five compositions with 2% corrugated steel fiber. Three aggregate concentrations (0, 0.2, and 0.4 m3) and quartz sand with different maximum particle sizes (0.4 and 0.8 mm) were selected. It was found that the mechanical properties of the material, such as the steel fiber bond strength, compressive and axial tensile strength, fracture energy, and critical stress intensity factor, depend on both the concentration of the aggregate and the size of its particles. A novel mix-design parameter was proposed, which reflects the total surface area of the aggregate in the composition (Sagg,tot). The relationships between the parameter Sagg,tot and the mechanical characteristics of UHPC and UHPFRC were established. The steel fiber bond strength, axial tensile strength, and fracture energy-related parameters grew non-linearly when the parameter Sagg,tot increased. When the parameter Sagg,tot was changed from 0 to 12.38 · 103 m2, the fiber bond strength increased by 1.38 times. The axial tensile strength and total fracture energy of the UHPFRC increased by 1.48 and 1.63 times, respectively. The compressive strength changed linearly and increased by 1.12 times. The improvement in the mechanical properties of the material was associated with an increase in the friction force between the fiber and the matrix, which was confirmed by the formation of a greater number of scratches on the surface of the fiber with an increasing value of the parameter Sagg,tot. The deformation characteristics, such as modulus of elasticity, Poisson’s ratio, and drying shrinkage strain, were determined solely by the volumetric concentration of the aggregate, as in conventional concrete. An increase in the aggregate volume content from 0 to 0.4 m3 led to an increase in the modulus of elasticity of 1.41–1.44 times, and a decrease in the ultimate shrinkage strain of almost 2 times. The dependencies obtained in this work can be used to predict the properties of UHPC and UHPFRC, taking into account the type and volume concentration of the aggregate.
WEE1 Inhibitor Adavosertib Exerts Antitumor Effects on Colorectal Cancer, Especially in Cases with p53 Mutations
Authors: Ariyoshi Misa , Yuge Ryo , Kitadai Yuki , Shimizu Daisuke , Miyamoto Ryo , Yamashita Ken , Hiyama Yuichi , Takigawa Hidehiko , Urabe Yuji , Oka Shiro
Published: September 2024

Inhibition of WEE1, a key regulator of the G2/M checkpoint of the cell cycle, induces apoptosis by initiating mitosis without repairing DNA damage. However, the effects of WEE1 inhibitors on the tumor immune microenvironment in colorectal cancer (CRC) remain unclear. Here, we investigated the association between WEE1 expression and CRC clinicopathological features using surgically resected CRC specimens and assessed the antitumor effects of a WEE1 inhibitor using CRC cell lines and orthotopic transplantation mouse models. WEE1 expression was not correlated with the clinicopathological features of CRC. The WEE1 inhibitor suppressed cell proliferation in a concentration-dependent manner in all CRC cell lines. It also increased the percentage of cells in the G2/M phase and apoptotic cells, especially in cell lines with p53 mutations, but did not alter these cell percentages in most p53 wild-type cell lines. In the orthotopic mouse model of CRC, tumor volume was significantly reduced in the WEE1 inhibitor-treated group compared to that in the control group. RNA sequencing and immunohistochemistry analyses of mouse tumors revealed that treatment with the WEE1 inhibitor activated tumor immunity and suppressed stromal reactions. These results demonstrate the potential antitumor effects of WEE1 inhibitors in CRC, particularly in patients with p53 mutations.
Color-Coordinated Photocatalysis of the One-Pot Synthesis of Schiff Bases from Benzyl Alcohol and Nitro Compounds Using a Hybrid Magnetic Catalyst
Authors: Regis Correa da Silva Daliane , Cely-Pinto Melissa , Scaiano Juan C.
Published: September 2024

The versatility and significance of imines (Schiff bases) make them highly attractive for many industrial applications. This study investigates photocatalytic routes for the one-pot synthesis of Schiff bases using alcohol and an aromatic nitro compound as reagents, rather than the more conventional amine and aldehyde or ketone. Utilizing photoirradiation at 370 nm with TiO2 loaded with various metals, we demonstrate the exceptional efficiency of the one-pot synthesis of Schiff bases under an inert atmosphere. Notably, the Fe3O4@TiO2 magnetic catalyst offers an excellent option for synthesizing the corresponding imine, achieving a remarkable production rate of 6.8 mmol h−1 during the first 6 h of irradiation with UVA light and reaching over 99% yield after 20 h. This success is attributed to a series of reactions involving the photocatalytic oxidation of benzyl alcohol to benzaldehyde and the simultaneous in situ reduction of nitrobenzene to aniline. The subsequent catalytic condensation of these products, facilitated by the active sites at the TiO2-metal interface, ultimately yields the desired imine. Additionally, while irradiation in the UVA region alone can photocatalyze the process, incorporating blue light (450 nm) accelerates it significantly. Dual-wavelength irradiation increased the production of the benzaldehyde to 77.9 mmol and more than doubled the Schiff base yield, from 7.5 mmol (with UVA light) to 17 mmol in 3 h of irradiation. Additionally, the reusability of the catalyst under simultaneous 450 nm and 370 nm light exposure significantly enhanced Schiff base production, which rose from 16.9 mmol to 48.9 mmol after adding fresh 0.1 M nitrobenzene for the second use. This highlights the effectiveness of color-coordinated catalysis in advancing sustainable chemistry through two-color photochemistry. The magnetic catalytic system not only demonstrates remarkable performance but also shows excellent reusability, representing a promising alternative for sustainable and efficient chemical transformations.
Deep Immunoprofiling of Large-Scale Tuberculosis Dataset at Single Cell Resolution Reveals a CD81bright γδ T Cell Population Associated with Latency
Authors: Shekarkar Azgomi Mojtaba , Badami Giusto Davide , Di Caro Miriam , Tamburini Bartolo , Fallo Miriana , Dieli Costanza , Ebrahimi Kiana , Dieli Francesco , La Manna Marco Pio , Caccamo Nadia
Published: September 2024

Tuberculosis (TB) remains one of the leading causes of death among infectious diseases, with 10.6 million new cases and 1.3 million deaths reported in 2022, according to the most recent WHO report. Early studies have shown an expansion of γδ T cells following TB infection in both experimental models and humans, indicating their abundance among lung lymphocytes and suggesting a role in protective immune responses against Mycobacterium tuberculosis (M. tuberculosis) infection. In this study, we hypothesized that distinct subsets of γδ T cells are associated with either protection against or disease progression in TB. To explore this, we applied large-scale scRNA-seq and bulk RNA-seq data integration to define the phenotypic and molecular characteristics of peripheral blood γδ T cells. Our analysis identified five unique γδ T subclusters, each with distinct functional profiles. Notably, we identified a unique cluster significantly enriched in the TCR signaling pathway, with high CD81 expression as a conserved marker. This distinct molecular signature suggests a specialized role for this cluster in immune signaling and regulation of immune response against M. tuberculosis. Flow cytometry confirmed our in silico results, showing that the mean fluorescence intensity (MFI) values of CD81 expression on γδ T cells were significantly increased in individuals with latent TB infection (TBI) compared to those with active TB (ATB). This finding underscores the importance of CD81 and its associated signaling mechanisms in modulating the activity and function of γδ T cells under TBI conditions, providing insights into potential therapeutic targets for TB management.
Proposed Physiological Mechanisms Underlying the Association between Adverse Childhood Experiences and Mental Health Conditions: A Narrative Review
Authors: Kurbatfinski Stefan , Dosani Aliyah , Dewey Deborah M. , Letourneau Nicole
Published: September 2024

Adverse childhood experiences (ACEs; e.g., physical abuse) can impact lifelong mental health both directly and intergenerationally, with effects transmitted from the parent to the child. Several physiological mechanisms have been proposed to explain the impacts of ACEs on mental health. The purpose of this narrative review was to synthesize and critique the peer-reviewed literature on physiological mechanisms proposed to underlie the impacts of ACEs on mental health, specifically: (1) hypothalamic–pituitary–adrenal axis functioning, (2) inflammation, (3) genetic inheritance and differential susceptibility, (4) epigenetics, (5) brain structure and function, (6) oxidative stress, and (7) metabolic profiles. We searched Google Scholar using variations of the terms “adverse childhood experiences”, “mechanisms”, and “mental health” to locate relevant peer-reviewed literature. We also mined citations of the identified literature to find additional important sources. The role of inflammation in the etiology of mental health conditions among those exposed to ACEs appeared promising, followed by hypothalamic–pituitary–adrenal axis functioning, brain structure and function, genetics, epigenetics, metabolism, and lastly, oxidative stress. Replication studies that examine the associations among ACEs, genetic inheritance and differential susceptibility, epigenetics, oxidative stress, and metabolism are required to better define links with mental health.
Transcutaneous Spinal Cord Stimulation Enables Recovery of Walking in Children with Acute Flaccid Myelitis
Authors: Neighbors Elizabeth , Brunn Lia , Casamento-Moran Agostina , Martin Rebecca
Published: September 2024

Background: Limited research exists for use of transcutaneous spinal stimulation (TSS) in pediatric spinal cord injuries (SCI) to improve walking outcomes, especially in children diagnosed with SCI secondary to acute flaccid myelitis (AFM). Objective: This case series demonstrates the feasibility and efficacy of TSS paired with gait training in children diagnosed with AFM. Methods: A total of 4 participants diagnosed with incomplete SCI secondary to AFM completed 22, 2-h therapy sessions over 5–8 weeks. TSS paired with body weight-supported treadmill training (BWSTT) was provided for the first 30 min of each session. Changes in walking function were assessed through the 6 min walk test (6MWT), Timed Up and Go (TUG), 10 m walk test (10MWT), and walking index for spinal cord injury II (WISCI-II). To assess safety and feasibility, pain, adverse events, and participant and therapist exertion were monitored. Results: All participants tolerated the TSS intervention without pain or an adverse response. Changes in the 6MWT exceeded the minimal clinically important difference (MCID) for three participants and WISCI-II exceeding the minimal detectable change (MDC) for two of the participants. Conclusions: These results demonstrate that TSS is a safe and clinically feasible intervention for pediatric patients with AFM and may supplement gait-based interventions to facilitate improvements in walking function.
Robot-Assisted Extravesical Ureteral Reimplantation (REVUR) in Pediatric Patients: A New Standard of Treatment for Patients with VUR—A Narrative Review
Authors: Esposito Ciro , Di Mento Claudia , Cerulo Mariapina , Del Conte Fulvia , Tedesco Francesco , Coppola Vincenzo , Chiodi Annalisa , Esposito Giorgia , Continisio Leonardo , Castagnetti Marco , Escolino Maria
Published: September 2024

Robot-assisted extravesical ureteral reimplantation (REVUR) was described for the first time in 2004. Since then, the surgical approach of vesicoureteral reflux (VUR) has changed dramatically. The benefits of this technique are great when compared to the laparoscopic or traditional open approaches. A literature search of PubMed was performed to identify articles covering any aspect of REVUR in the pediatric population. A total of 108 papers published over the period 2004–2024 were collected. Of these, 40 studies were considered valuable in terms of obtaining a complete overview of the REVUR technique. This review aimed to describe the current state of the art of REVUR and define it as the new standard technique for surgical management of selected patients with VUR.
Patch-Based Far-Infrared Radiation (FIR) Therapy Does Not Impact Cell Tracking or Motility of Human Melanoma Cells In Vitro
Authors: Pacifici Francesca , Chiereghin Francesca , D’Orazio Michele , Malatesta Gina , Infante Marco , Fazio Federica , Bertinato Chiara , Donadel Giulia , Martinelli Eugenio , De Lorenzo Antonino , Della-Morte David , Pastore Donatella
Published: September 2024

Far-Infrared Radiation (FIR) is emerging as a novel non-invasive tool for mitigating inflammation and oxidative stress, offering potential benefits for certain medical conditions such as cardiovascular disease and chronic inflammatory disorders. We previously demonstrated that the application of patch-based FIR therapy on human umbilical vein endothelial cells (HUVECs) reduced the expression of inflammatory biomarkers and the levels of reactive oxygen species (ROS). Several in vitro studies have shown the inhibitory effects of FIR therapy on cell growth in different cancer cells (including murine melanoma cells), mainly using the wound healing assay, without direct cell motility or tracking analysis. The main objective of the present study was to conduct an in-depth analysis of single-cell motility and tracking during the wound healing assay, using an innovative high-throughput technique in the human melanoma cell line M14/C2. This technique evaluates various motility descriptors, such as average velocity, average curvature, average turning angle, and diffusion coefficient. Our results demonstrated that patch-based FIR therapy did not impact cell proliferation and viability or the activation of mitogen-activated protein kinases (MAPKs) in the human melanoma cell line M14/C2. Moreover, no significant differences in cell motility and tracking were observed between control cells and patch-treated cells. Altogether, these findings confirm the beneficial effects of the in vitro application of patch-based FIR therapy in human melanoma cell lines, although such effects need to be confirmed in future in vivo studies.
Progress in the Study of Chemical Structure and Pharmacological Effects of Total Paeony Glycosides Isolated from Radix Paeoniae Rubra
Authors: Sun Yumu , Liu Taiyu , Zhao Xueying
Published: September 2024

Radix paeoniae rubra, known as red peony root, is derived from the dried roots of Paeonia lactiflora pall or Paeonia veitchii lynch from the Ranunculaceae family. It is recognized for its properties of clearing heat, cooling blood, dispelling stasis, and alleviating pain, making it one of the most commonly used herbs in traditional Chinese medicine. Total paeony glycosides (TPGs) are identified as the principal active constituents of Radix paeoniae rubra, comprising monoterpenoid compounds with a cage-like pinane structure and monoterpenoids with a lactone structure. This review summarizes the chemical constituents and pharmacological effects of TPGs, with the aim of elucidating their relationships.
Bioconversion of L-Tyrosine into p-Coumaric Acid by Tyrosine Ammonia-Lyase Heterologue of Rhodobacter sphaeroides Produced in Pseudomonas putida KT2440
Authors: Calderón Carlos G. , Gentina Juan C. , Evrard Oscar , Guzmán Leda
Published: September 2024

p-Coumaric acid (p-CA) is a valuable compound with applications in food additives, cosmetics, and pharmaceuticals. However, traditional production methods are often inefficient and unsustainable. This study focuses on enhancing p-CA production efficiency through the heterologous expression of tyrosine ammonia-lyase (TAL) from Rhodobacter sphaeroides in Pseudomonas putida KT2440. TAL catalyzes the conversion of L-tyrosine into p-CA and ammonia. We engineered P. putida KT2440 to express TAL in a fed-batch fermentation system. Our results demonstrate the following: (i) successful integration of the TAL gene into P. putida KT2440 and (ii) efficient bioconversion of L-tyrosine into p-CA (1381 mg/L) by implementing a pH shift from 7.0 to 8.5 during fed-batch fermentation. This approach highlights the viability of P. putida KT2440 as a host for TAL expression and the successful coupling of fermentation with the pH-shift-mediated bioconversion of L-tyrosine. Our findings underscore the potential of genetically modified P. putida for sustainable p-CA production and encourage further research to optimize bioconversion steps and fermentation conditions.
The Change of Sealing Property in the Aging Process of NBR Sealing Equipment Based on Finite Element Analysis
Authors: Zhu Min , Ma Desheng , Zhou Yuan , Huang Hanyuan , Shao Zhaoqun , Wu Fei , Li Biao
Published: September 2024

Sealing rings are the core components of flange sealing structures and play a crucial role in the storage and operation of gas generators. The aging and deformation of seals affect the safe operation of the device. This paper aims to investigate the effect of rubber aging on the sealing performance of the components, which is realized by nonlinear finite element analysis. Firstly, an accelerated degradation test method was used to obtain the compression permanent deformation and stress–strain curve of rubber during the aging process. A two-dimensional finite element model of the sealing structure was constructed and the Yeoh model was utilized to describe the mechanical response of rubber. During the simulation, the contact area was modified based on the compression permanent deformation, and the Yeoh model was updated based on the stress–strain curve changes obtained by the test. The impact of key parameters such as material property changes, rubber physical section deformation, and fluid pressure on sealing performance during the seal ring aging process was systematically studied. The numerical results indicate that due to the aging deformation of rubber seals, there is a significant decrease in contact stress and contact width, as well as a shift in maximum equivalent stress area. Taking into account these findings, this study proposes a new design concept for sealing structures. This provides a relatively simple research method for studying flange sealing structure performance.