bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of the Addition of Microsilica and Fly Ash on the Properties of Ultra-High-Performance Concretes
Authors: Szcześniak Anna , Siwiński Jarosław , Stolarski Adam , Piekarczuk Artur , Nasiłowska Barbara
Published: December 2024

The paper presents experimental studies on the influence of a simultaneous, appropriately proportioned combination of microsilica and fly ash additives on the physical and mechanical properties of ultra-high-performance concretes (UHPCs). Concrete mixtures with the addition of microsilica in the amount of 6.7–14.7% and fly ash in the amount of 8.3–26.7% were analyzed, assuming a constant content of cement, water and superplasticizer. Experimental studies were carried out regarding the consistency of the fresh concrete mixtures and on the compressive strength, flexural strength, tensile splitting strength, secant modulus of elasticity, depth of penetration of water under pressure into hardened concrete and water absorption. The analysis of mechanical properties was carried out during a long maturation period from 2 to 90 days. Additionally, the influence of the cost of component materials on the final cost of concrete was taken into account. The test results indicate the effectiveness of the use of microsilica and fly ash additives in ultra-high-performance concretes and possible directions for optimizing their proportions in order to achieve the intended physical and mechanical properties. The best strength properties were obtained for concrete containing 16.7% fly ash and 13.3% microsilica. The highest resistance to water penetration and absorption under pressure was characterized by concretes containing an increased content of microsilica up to 14.7%.
Mechanical Properties and Microstructure of Geopolymer-Based PFSS Synthesized from Excavated Loess
Authors: Chen Shujie , Zhang Hengchun , Yang Zhengzhou , Feng Chao , Wang Yao , Yu Demei , Fu Tengfei , Zhang Feng , Huang Xia
Published: December 2024

Pre-mixed fluidized solidified soil (PFSS) has the advantages of pumpability, convenient construction, and a short setting time. This paper took the excavated loess in Fuzhou as the research object and used cement–fly–ash–ground granulated blast furnace slag–carbide slag as a composite geopolymer system (CFGC) to synthesize PFSS. This study investigated the fluidity and mechanical strength of PFSS under different water–solid ratios and curing agent dosages; finally, the microstructure of the composite geopolymer system–pre-mixed fluidized solidified soil (CFGC-PFSS) was characterized. The results showed that when the water–solid ratio of PFSS increased from 0.46 to 0.54, the fluidity increased by 77 mm, and the flexural strength and compressive strength at 28 d decreased to 450.8 kPa and 1236.5 kPa. When the curing agent dosage increased from 15% to 25%, the fluidity increased by 18.0 mm, and the flexural strength and compressive strength at 28 d increased by 1.7 times and 1.6 times. A large number of needle-like AFt, C-S-H gel, and C-(A)-S-H gel coagulate with soil particles to form a three-dimensional reticular structure, which is the mechanism of the strength formation of PFSS under the action of CFGC.
Development and Applications in Intelligent Sports of Hydrogel-Based Triboelectric Nanogenerators
Authors: Feng Guishan , Wang Yunlu , Liu Dongsheng , Cheng Zihang , Feng Qingyang , Wang Hongwei , Han Wei , Jia Changjun
Published: December 2024

As an emerging self-powered technology, triboelectric nanogenerators have the characteristics of a simple structure, high conversion efficiency, diverse material selection, and stable output. Hydrogels have the advantages of flexibility, extensibility, and shape adaptability, which means that hydrogel-based triboelectric nanogenerators (H-TENGs) have high flexibility, self-healing abilities, conductivity, and fatigue resistance. They can still operate normally in scenarios involving bending, pressing, stretching, and folding. H-TENGs offer a method of versatile and sustainable innovation in sports monitoring. This review elucidates the working principles and modes of H-TENGs, examines H-TENG characteristics that are relevant to intelligent sports, and summarizes their applications in this field. This paper concludes with a discussion on the development and applications of H-TENGs in intelligent sports.
Development and Characterization of Biodegradable, Binderless Fiberboards from Eggplant Straw Fibers
Authors: Fan Hailun , Wang Xiulun , Wu Tingting , Sun Jianzhong , Liu Jun
Published: December 2024

Currently, wood-based panels are mainly made from wood and adhesives containing formaldehyde. With the growing demand for raw materials and increasing concern for human health, the use of residues from annual crops to manufacture binder-free biodegradable biomass boards has attracted increasing interest. The aim of this study was to develop a biodegradable bio-board without any adhesives using eggplant straw fibers. The bio-boards were produced via simple mechanical refinement of eggplant straw fibers and were formed under pressures of 2.0 MPa, 3.5 MPa, 5.0 MPa, 6.5 MPa, and 8.0 MPa. The mechanical properties and dimensional stability of the manufactured bio-boards were evaluated. With increasing applied pressure, the bending rupture stress of the bio-boards increased from 27.69 MPa to 45.29 MPa, the tensile rupture stress varied from 12.45 MPa to 24.62 MPa, the water absorption decreased from 91.45% to 88.29%, and the contact angle increased from 89.67° to 90.45°. The bio-boards were subjected to morphological analysis (SEM) and porosity and crystallinity measurements (XRD), and the results indicated that the water absorption of the bio-boards was due to a combination of porosity and crystallinity. The results showed that eggplant straw is suitable for manufacturing bio-boards.
Comparative Analysis of Fracture Resistance of Endodontic Sealer Types and Filling Methods
Authors: Song Yun , Kim Kee-Deog , Jung Bock-Young , Park Wonse , Pang Nan-Sim
Published: December 2024

With the advent of bioceramic sealers, sealers have become a more important filling material for endodontic treatment. When a solid sealer, rather than an elastic gutta-percha, occupies a significant portion of the root canal, it is unclear whether the tooth structure will be strengthened to withstand stress or whether the increased stiffness will transmit the load directly to the entire root, potentially causing root fracture. This study compared the fracture resistance and fracture patterns of roots filled with various root canal sealers, including bioceramic sealers, and each corresponding filling technique. Five groups (n = 10) were tested, including no endodontic treatment, no canal obturation, resin-based sealers with continuous-wave compaction, bioceramic sealers with single-cone technique, and mineral trioxide aggregate (MTA) orthograde obturation. The specimens were radiographed to assess the filling quality. After embedding the specimens in acrylic resin, fracture resistance was tested by a universal testing machine, and fracture features were examined microscopically. The results showed that the bioceramic sealer group using the single-cone technique had the highest fracture strength. Radiographic analysis revealed that achieving void-free filling was more difficult with MTA orthograde obturation compared to resin-based and bioceramic sealer groups. No significant variation in fracture features was observed across the groups.
Development of a Stable Process for Wire Embedding in Fused Filament Fabrication Printing Using a Geometric Correction Model
Authors: Mauersberger Valentin Wilhelm , Ziervogel Fabian , Weisheit Linda , Boxberger Lukas , Drossel Welf-Guntram
Published: December 2024

Using a newly developed tool head with an additional rotational axis and a wire feed, wires can be directly processed in the fused filament fabrication (FFF) process. Thus, electrical structures such as conductive paths, coils, heating elements, or sensors can be integrated into polymer parts. However, the accuracy of the wire deposition in curved sections of the print track is insufficient. To improve the wire position, a geometric correction model was set up, converted into G-code, and validated using test prints for different wire parameters. For this, a sample of printed arcs was evaluated regarding wire position and embedding quality using various visual methods. This also determined the optimal cooling time for the model. The process parameters extrusion coefficient and feed were then varied to identify optimal process parameters for a stable and at the same time efficient process. By varying the wire (copper, constantan) and polymer material (PLA, PETG), the model was checked for general validity. It was found that the position of the ø 0.2 mm wire can be improved with the correction model. Different sets of parameters can be found that enable good quality of embedding and wire position.
Reproduction of Road Scenarios for Simulated Driving Using LiDar Surveying Technique
Authors: Finelli Roberta , Sena Pasquale , Lorusso Angelo , Cecere Liliana , Villecco Francesco
Published: December 2024

Nowadays, driving simulation devices represent a continuously evolving and developing area in the world of virtual reality. One of the fundamental elements in the design of driving software is the track model. This work aims to study the use of advanced technologies for the three-dimensional modeling of a racing track in a driving simulator. Specifically, it employs the LiDAR methodology to acquire the three-dimensional coordinates of a 1 km long circuit located on the Fisciano campus of the University of Salerno. The purpose of this work is to explain and present a novel track acquisition and modeling methodology within the realm of simulated driving reality. Following the study, the Virtual Reality Laboratory’s driving simulator at the Department of Industrial Engineering conducted tests to validate the proposed circuit model. The test rides analyzed the realism of the driving experience, thereby validating the proposed track model. This phase was complemented by a series of proposals for possible future developments in the field of three-dimensional modeling applied to driving simulation and beyond. In the end, the 3D model obtained demonstrated the high definition of the acquired result and the speed with which multiple data were obtained simultaneously, thanks to the laser scanner used.
Service Life and Failure Analysis of Nylon, Polycarbonate, and IGUS i180 Polymer Gears Made by Additive Manufacturing
Authors: Muminović Adis J. , Bektašević Sunita , Muratović Enis , Pervan Nedim , Smajić Jasmin , Muminović Adil , Šarić Isad , Mešić Elmedin , Trobradović Mirsad , Delić Muamer
Published: December 2024

An assessment of different materials for additive manufacturing (AM) of polymer gears is presented in this research. Experimental testing is carried out for three different materials. Two materials are selected as the most common materials used for gears made by additive manufacturing. These materials are nylon and polycarbonate (PC). The third material is IGUS i180, which is a tribological material specially developed for additive manufacturing of parts with demands for high resistance properties such as resistance to friction, wear, and high temperatures which are essential for the long service life of gears. Gears are experimentally tested to determine service life in the form of operating cycles until failure. In addition, the gear temperature is monitored during the experimental testing. Using the value of maximum temperature at the moment of total gear failure at a specific load level enables the categorization of failure type. Different types of gear failures are categorized and presented. Taking into consideration failure type and the service life in the form of operating cycles, the applicability of analyzed materials for specific applications concerning load, speed, and thermal conditions is presented and discussed at the end of the paper. The main goal of this research was to test IGUS i180 material and compare its mechanical and thermal properties with other commonly used materials for gears manufactured by AM, such as nylon (PA6/66) and polycarbonate (PC). IGUS i180 material showed inferior properties concerning gear design in the case of high loads. This research showed that PA6/66 material is still the best solution for polymer gears production using AM, but the applicability of this material, due to temperature constraints, is still quite limited.
Design and Validation of an Improved Rotational Variable Stiffness Mechanism
Authors: Nelson Carl , Moomau Kasey , Li Yucheng
Published: December 2024

In various aspects of robotics, including human–robot interaction, the ability to dynamically adjust the apparent stiffness of an interaction (e.g., between the robot and its environment or between the robot and its payload) has become an important capability. Various means have been developed in recent years to achieve this, notable among them the so-called variable lever devices. In this paper, we present a new variable lever mechanism based on a gear–rack pair. This unique design combines the functionality of the lever itself with that of the stiffness-adjustment transmission. We show through simulations and hardware experiments the relatively large resulting range of achievable stiffness adjustment and efficient operation.
Condition Monitoring of Marine Diesel Lubrication System Based on an Optimized Random Singular Value Decomposition Model
Authors: Ye Shuxia , Da Bin , Qi Liang , Xiao Han , Li Shankai
Published: December 2024

As modern marine diesel engine systems become increasingly complex, effective condition monitoring methods are essential for ensuring optimal performance and preventing anomalies. This paper proposes a data-driven condition monitoring approach specifically designed for the lubrication system of marine diesel engines. Unlike traditional methods, the proposed approach eliminates the need for explicit modeling and leverages a novel optimization algorithm for data denoising. Additionally, a new noise-resistant monitoring index is introduced to enhance monitoring reliability. The paper is structured into two main sections for validation. The first section addresses advanced data preprocessing, where the Improved Sparrow Search Algorithm (ISSA) is employed to optimize the parameters of Random Singular Value Decomposition (RSVD). This step effectively minimizes noise, reduces manual intervention, and handles high-dimensional data. The second section focuses on analyzing the data characteristics using the Random Matrix Theory (RMT) and establishing novel condition monitoring indicators to achieve more reliable monitoring outcomes. The proposed methodology captures the intricate relationships among key variables within the system, providing a more robust framework for condition monitoring. Applied to a marine diesel engine lubrication system, the method demonstrates significant improvements in noise immunity and monitoring reliability. Comparative analyses of condition monitoring models before and after denoising reveal that the relative error of the proposed monitoring index under varying noise amplitudes is within 1%, substantially lower than that of other indices. Furthermore, the monitoring accuracy is improved by 4.95% when the proposed index is employed for system condition monitoring.
New Stochastic Restricted Biased Regression Estimators
Authors: Dawoud Issam , Eledum Hussein
Published: December 2024

In this paper, we propose three stochastic restricted biased estimators for the linear regression model. These new estimators generalize the least squares estimator, mixed estimator, and biased estimator. We derive the necessary and sufficient conditions for the superiority of the proposed estimators over existing ones, as well as their relative superiority among each other, using the mean squared error matrix as a criterion. A simulation study is conducted to validate the theoretical findings, and two real-world examples are provided to demonstrate the practical advantages of the proposed estimators.
Ulam Stability, Lyapunov-Type Inequality, and the Eigenvalue Problem for Model of Discrete Fractional-Order Deflection Equations of Vertical Columns and a Rotating String with Two-Point Boundary Conditions
Authors: Alzabut Jehad , Dhineshbabu Raghupathi , Moumen Abdelkader , Selvam A. George Maria , Rehman Mutti-Ur
Published: December 2024

Due to its significance in numerous scientific and engineering domains, discrete fractional calculus (DFC) has received much attention recently. In particular, it seems that the exploration of the stability of DFC is crucial. A mathematical model of the discrete fractional equation describing the deflection of a vertical column along with two-point boundary conditions featuring the Riemann–Liouville operator is constructed to study several kinds of Ulam stability results in this research work. In addition, we developed Lyapunov-type inequality and its application to an eigenvalue problem for discrete fractional rotating string equations. Finally, the effectiveness of the theoretical findings is demonstrated with numerical examples.
A Class of Potentials in Weighted Hardy-Type Inequalities with a Finite Number of Poles
Authors: Canale Anna , Tarantino Ciro
Published: December 2024

In this paper, we discuss potentials for which we obtain multipolar weighted Hardy-type inequalities for a class of weights that are wide enough. Examples of such potentials are shown. The weighted estimates are more general than those stated in previous papers. To obtain the inequalities, we prove an integral identity by introducing a suitable vector-valued function.
Unsupervised Identification for 2-Additive Capacity by Principal Component Analysis and Kendall’s Correlation Coefficient in Multi-Criteria Decision-Making
Authors: Guan Xueting , Guo Kaihong , Zhang Ran , Han Xiao
Published: December 2024

With the Multi-Criteria Decision-Making (MCDM) problems becoming increasingly complex, traditional MCDM methods cannot effectively handle ambiguous, incomplete, or uncertain data. While several novel types of MCDM methods have been proposed to address this limitation, they fail to consider the potentially complex interactions among decision criteria. An effective capacity identification methodology is definitely needed to conquer this issue. In this paper, we develop a novel unsupervised method for identifying 2-additive capacities by means of Principal Component Analysis (PCA) and Kendall’s correlation coefficient. During the process, some significant results are achieved. Firstly, the Shapley values of decision criteria are derived by using the PCA, through a combination of the variance contribution rate of each Principal Component (PC) and its corresponding eigenvector. Secondly, Kendall’s correlation coefficient stemmed from the decision data created to help identify the Shapley interaction index for each pair of criteria by unsupervised learning. The optimization model equipped with a new form of monotonicity conditions is then established to further determine the optimal Shapley interaction index. With these two kinds of indices, a desired monotone 2-additive capacity is finally identified in an objective and efficient manner. Numerical experiments demonstrate that our proposal can adequately consider the importance of criteria and accurately identify the types of Shapley interaction indices between criteria, and is thus able to produce more convincing and logical results compared with other unsupervised identification methods.
Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering
Authors: Karun Baiju , Thiyagarajan Arunprasath , Murugan Pallikonda Rajasekaran , Jeyaprakash Natarajan , Ramaraj Kottaimalai , Makreri Rakhee
Published: December 2024

Accurate and early detection of brain tumors is essential for improving clinical outcomes and guiding effective treatment planning. Traditional segmentation techniques in MRI often struggle with challenges such as noise, intensity variations, and complex tumor morphologies, which can hinder their effectiveness in critical healthcare scenarios. This study proposes an innovative hybrid methodology that integrates advanced metaheuristic optimization and entropy-based fuzzy clustering to enhance segmentation precision in brain tumor detection. This method combines the nature-inspired Elephant Herding Optimization (EHO) algorithm with Entropy-Driven Fuzzy C-Means (EnFCM) clustering, offering significant improvements over conventional methods. EHO is utilized to optimize the clustering process, enhancing the algorithm’s ability to delineate tumor boundaries, while entropy-based fuzzy clustering accounts for intensity inhomogeneity and diverse tumor characteristics, promoting more consistent and reliable segmentation results. This approach was evaluated using the BraTS challenge dataset, a benchmark in the field of brain tumor segmentation. The results demonstrate marked improvements across several performance metrics, including Dice similarity, mean squared error (MSE), peak signal-to-noise ratio (PSNR), and the Tanimoto coefficient (TC), underscoring this method’s robustness and segmentation accuracy. By managing image noise and reducing computational demands, the EHO-EnFCM approach not only captures intricate tumor structures but also facilitates efficient image processing, making it suitable for real-time clinical applications. Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.
Five New Indole Alkaloid Derivatives from Deep-Sea Fungus Aspergillus fumigatus AF1
Authors: Dai Lai-Hui , Zhang Gao-Rong , Ou Yang-Hui , Liu Xiao-Jing , Yao Hong-Liang , Hu Wen-Hao , Li Hou-Jin , Lan Wen-Jian
Published: December 2024

One new gliotoxin derivative fumianthrogliotoxin (1), one new indoquizoline alkaloid N3-(methyl propionate) indoquizoline (2), and three novel indole alkaloids, anthroxyindole (3), (±)-asperfumiindole A (4), and (±)-asperfumiindole B (5), together with 16 known compounds (6–21), were isolated from the culture of deep-sea derived fungus Aspergillus fumigatus AF1. Their chemical structures and absolute configurations were determined through the analysis of NMR data in combination with electronic circular dichroism (ECD) calculations and other spectroscopic analyses. Compounds 2–11 and 13–21 were evaluated for anti-pulmonary fibrosis activity. Compounds 8 and 13 displayed significant downregulation of the mRNA expression levels of all three molecular markers (COL1A1, α-SMA and FN1), with compound 13 exhibiting the best performance among all the tested compounds.
Pathophysiological Features of Remodeling in Vascular Diseases: Impact of Inhibitor of DNA-Binding/Differentiation-3 and Estrogenic Endocrine Disruptors
Authors: Avecilla Vincent , Doke Mayur , Appunni Sandeep , Rubens Muni , Ramamoorthy Venkataraghavan , Das Jayanta Kumar
Published: December 2024

Vascular diseases, such as hypertension, atherosclerosis, cerebrovascular, and peripheral arterial diseases, present major clinical and public health challenges, largely due to their common underlying process: vascular remodeling. This process involves structural alterations in blood vessels, driven by a variety of molecular mechanisms. The inhibitor of DNA-binding/differentiation-3 (ID3), a crucial member of ID family of transcriptional regulators, has been identified as a key player in vascular biology, significantly impacting the progression of these diseases. This review explores the role of ID3 in vascular remodeling, emphasizing its involvement in processes such as apoptosis, cell proliferation, and extracellular matrix regulation. Furthermore, we examine how oxidative stress, intensified by exposure to estrogenic endocrine disruptors (EEDs) like polychlorinated biphenyls (PCBs) and bisphenol A (BPA), affects ID3 activity and contributes to vascular disease. Understanding the interaction between ID3 signaling and EED exposure provides critical insights into the molecular mechanisms underlying vascular remodeling and its role in the development and progression of vascular diseases.
Microstructure Formation and Dry Reciprocating Sliding Wear Response of High-Entropy Hypereutectic White Cast Irons
Authors: Pasini Willian Martins , Polkowski Wojciech , Dudziak Tomasz , dos Santos Carlos Alexandre , de Barcellos Vinicius Karlinski
Published: December 2024

White cast irons (WCI) are widely used in industries requiring high wear resistance due to their microstructure consisting of hard carbides dispersed within a metallic matrix. This study focuses on developing wear-resistant multi-component hypereutectic high chromium cast irons, merging concepts of high entropy alloys with the conventional metallurgy of white cast irons, specifically exploring the influence of carbide-forming elements such as V, Mo, and Ni on solidification behavior, microstructure, and wear performance. The research investigates the solidification process of the alloys using Computer-Aided Cooling Curve Analysis (CA-CCA) and characterizes the microstructures through X-ray diffraction (XRD) and scanning electron microscopy (SEM). The wear behavior of the developed alloys is evaluated through reciprocating sliding wear tests, revealing the impact of varying chemical compositions on wear resistance. The results demonstrate that high-entropy white cast iron (HEWCI), particularly those enriched with carbide-forming elements, exhibit superior abrasion resistance compared to conventional high-chromium cast irons. The alloy with 2 Mo and 4 V content showed the best performance, presenting the lowest wear rate (61.5% lower than HCCI alloy) and CoF (values ranging from 0.20 to 0.22) due to the highest concentration of V carbides.
The Effect of Annealing in a Magnetic Field on the Microstructures and Magnetic Properties of (Nd0.8RE0.2)2.2Fe12Co2B (RE = La, Ce) Alloys
Authors: Tan Xiaohua , Shi Xuanbo , Zhang Shiqi , Xu Hui
Published: December 2024

The development of high-performance and cost-effective Nd-Fe-B permanent magnets is crucial to meet the ever-growing requirements of renewable and clean energy applications. Here, we use low-cost and highly abundant La and Ce to partially substitute Nd and investigate the effect of annealing treatment with a 1 tesla (T) magnetic field on the microstructures and magnetic properties of (Nd0.8RE0.2)2.2Fe12Co2B (RE = La, Ce) ribbons. The remanence (Br) and maximum energy product ((BH)max) of studied alloys can be improved by magnetic field annealing. The respective Br and (BH)max of annealed (Nd0.8La0.2)2.2Fe12Co2B alloy are increased to 0.86 T and 124 kJ/m3. In comparison to melt-spun (Nd0.8Ce0.2)2.2Fe12Co2B alloy, the Br and (BH)max of the magnetic field-annealed alloy are improved by 5% and 8%. The underlying mechanism of improved magnetic properties of La- and Ce-substituted alloys is different. The interaction magnetic domain size in (Nd0.8La0.2)2.2Fe12Co2B alloy can be increased by magnetic field annealing, leading to the enhancement of exchange coupling interaction, which results to the improvement in Br and (BH)max. In the (Nd0.8Ce0.2)2.2Fe12Co2B alloy, the concentration of (Fe + Co) of ferromagnetic intergranular phase is increased after magnetic field annealing, resulting in the increase in Br and (BH)max.
Microstructural Insights into Solid Particle Erosion in a High-Chromium Cast Iron
Authors: Suman Alessio , Fortini Annalisa , Zanini Nicola
Published: December 2024

Solid particle erosion (SPE) significantly limits the service life of High-Chromium Cast Irons (HCCIs), widely used in power generation and mining industries. This study investigates how microstructural features influence the erosion resistance of a Fe-Cr-C cast iron, focusing on the interplay between particle kinetic energy and carbide features, i.e., carbide volume fraction (CVF). Erosion tests, conducted per ASTM G76 standards, revealed that substrates with similar CVFs exhibited varying damage levels, even at consistent particle kinetic energies. The findings underscored that impact conditions have a greater influence on erosion resistance than CVF alone, emphasizing the critical role of carbide morphology and distribution in mitigating damage. This work provides valuable insights for optimizing HCCIs to enhance material performance and durability in demanding erosive environments by tailoring carbide distribution to specific operational conditions.
Exploring the Pharmacokinetics and Gut Microbiota Modulation of Hesperidin and Nobiletin from Mandarin Orange Peel in Experimental Dogs: A Pilot Study
Authors: Nakahigashi Jun , Kurikami Makoto , Iwai Satomi , Iwamoto Sadahiko , Kobayashi Shou , Kobayashi Eiji
Published: December 2024

Background/Objectives: Mandarin orange peel (MOP) is recognized for its traditional medicinal properties due to its high flavonoid content. This study aimed to analyze MOP harvested in Japan for specific bioactive compounds and to explore its health applications in dogs, including effects on gut microbiota and cognitive symptoms. Methods: Flavonoid content (particularly hesperidin and nobiletin) of MOP was measured. High-flavonoid MOP was then incorporated into gelatin cubes. In the time–course blood concentration study, experimental beagle dogs received a single oral dose (4 g). For intestinal microbiota analysis and blood biochemical tests, beagle dogs were administered 1 g twice daily. For the Demonstration Test, older dogs (a 14-year-old female Shiba Inu, a 14-year-old female Miniature Dachshund, and a 19-year-old male Miniature Dachshund) were administered 1 g twice daily. Analysis included microbiota profiling via 16S rDNA sequencing and observational assessment of cognitive indicators in a pilot study involving senior dogs with Alzheimer’s disease. Results: The MOP powder contained 9.3% hesperidin in early-ripening varieties (October harvest) and 6.9% in ripe varieties (December harvest). Nobiletin content was 41 mg/100 g (0.041%) and 35 mg/100 g (0.035%) for the early and late harvests, respectively. Administration of MOP-enriched gelatin cubes reduced Fusobacteriaceae and increased Eggerthellaceae. Cognitive symptoms like howling and counterclockwise turning showed improvement in senior dogs (n = 3). Conclusions: This study provides preliminary support for the potential health benefits of MOP in canine dietary applications, particularly for gut health and cognitive function. Improvement in cognitive symptoms may be due to the anxiolytic effects of mandarin peel.
Theoretical Study of CO, NO, NO2, Cl2, and H2S Adsorption Interactions with PdO–Graphene Composites for Gas Sensor Applications
Authors: Samaranayake Piumantha , Ahamed Azeez , Silva Visal de , Wickramage Nadeesha Manohari , Kooh Muhammad Raziq Rahimi , Thotagamuge Roshan
Published: December 2024

Gas sensors play a vital role in detecting gases in the air, converting their concentrations into electrical signals for industrial, environmental, and safety applications. This study used density functional theory methods to explore the mechanism and sensitivity of a PdO–graphene composite sensor towards various gases (CO, NO, NO2, H2S, and Cl2). All calculations, including structure, energy, and frequency optimizations, were performed using the Gaussian software with appropriate configurations and basis sets. Key parameters such as the adsorption energy, charge transfer, energy gap, density of states, and HOMO–LUMO were computed for each gas molecule on the PdO–graphene composite. The sensitivity and recovery time were also evaluated. The findings show that CO exhibited the highest adsorption energy (−6.5513 eV) and adsorbed with a noticeable tilt toward the PdO–graphene plane, indicating a strong interaction, and H2S exhibited the lowest adsorption energy, calculated as −2.0110 eV. H2S demonstrated the highest charge transfer of 0.445 e and an energy gap of 3.1321 eV, and CO exhibited the lowest charge transfer, calculated as 0.036 e, while NO2 demonstrated the lowest energy gap, determined to be 2.5004 eV. NO2 demonstrated the highest sensitivity, at 1285.2% for the PdO–graphene composite, and the lowest were Cl2 and H2S, with a sensitivity of 99.9%, while Cl2 had the shortest recovery time of 7.66 × 10−11 s, and CO had the longest recovery time of 2.55 × 10−10 s. The addition of PdO significantly enhanced the interaction strength between the adsorbed gas molecules and the graphene sheet when compared to Pd–graphene or pure graphene. This enhancement is reflected in the increased adsorption energy and band gap and low charge transfer, which significantly influenced the electrical conductivity of the PdO–graphene sheet. In conclusion, the incorporation of PdO into graphene improves the sensitivity of the gas sensor, particularly for detecting NO2, making PdO–graphene a highly suitable material for gas sensing applications.
Generating a Full Cycle of Alternative Current Using a Triboelectric Nanogenerator for Energy Harvesting
Authors: Shateri Aso Ali Abdalmohammed , Zhuo Fengling , Shuaibu Nazifi Sani , Wan Rui , Xu Liangquan , Hazarika Dinku , Gyawali Bikash , Wang Xiaozhi
Published: December 2024

The triboelectric nanogenerator (TENG) has emerged as a promising technology for efficiently converting ambient mechanical energy into electrical energy. Among various designs, the disk-based rotational TENG has demonstrated significant potential, as it can continuously harvest energy in a sliding mode via a grating mechanism. However, horizontal mechanical energy is more common than rotational energy in many practical applications. Herein, the present study introduces a novel device: the double horizontal linear-to-rotational triboelectric nanogenerator (DHLR-TENG). This innovative approach utilizes a gear system to convert horizontal linear mechanical energy into electrical energy. The experimental results revealed that the DHLR-TENG produces a full cycle of alternating current (AC) when integrated into an electrical circuit. It consistently delivers robust performance with an open-circuit voltage of 544 V, a short-circuit current of 61.16 µA, and a maximum power output of 33.27 mW. Additionally, the device durability, capable of withstanding over 1,000,000 cycles, makes it highly effective for powering small electronic devices, such as charging capacitors and illuminating commercial LEDs. The DHLR-TENG’s versatility and efficiency mark it as a major advancement in energy harvesting, with broad implications for powering portable electronic devices in a wide range of environments.
A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance
Authors: Xiao Na , Li Yonghui , Sun Peiyan , Zhu Peihua , Wang Hongyan , Wu Yin , Bai Mingyu , Li Ansheng , Ming Wuyi
Published: December 2024

In recent years, metal nanomaterials and nanoproducts have been developed intensively, and they are now widely applied across various sectors, including energy, aerospace, agriculture, industry, and biomedicine. However, nanomaterials have been identified as potentially toxic, with the toxicity of metal nanoparticles posing significant risks to both human health and the environment. Therefore, the toxicological risk assessment of metal nanomaterials is essential to identify and mitigate potential adverse effects. This review provides a comprehensive analysis of the safety and sustainability of metallic nanoparticles (such as Au NPs, Ag NPs, etc.) in key domains such as medicine, energy, and environmental protection. Using a dual-perspective analysis approach, it highlights the unique advantages of machine learning in data processing, predictive modeling, and optimization. At the same time, it underscores the importance of traditional methods, particularly their ability to offer greater interpretability and more intuitive results in specific contexts. Finally, a comparative analysis of traditional methods and machine learning techniques for detecting the toxicity of metal nanomaterials is presented, emphasizing the key challenges that need to be addressed in future research.
Miniaturization Potential of Additive-Manufactured 3D Mechatronic Integrated Device Components Produced by Stereolithography
Authors: Piechulek Niklas , Xu Lei , Fröhlich Jan , Bründl Patrick , Franke Jörg
Published: December 2024

Three-dimensional Mechatronic Integrated Devices (3D-MIDs) combine mechanical and electrical functions, enabling significant component miniaturization and enhanced functionality. However, their application in high-temperature environments remains limited due to material challenges. Existing research highlights the thermal stability of ceramic substrates; yet, their reliability under high-stress and complex mechanical loading conditions remains a challenge. In this study, 3D-MID components were fabricated using stereolithography (SLA) 3D-printing technology, and the feasibility of circuit miniaturization on high-temperature-resistant resin substrates was explored. Additionally, the influence of laser parameters on resistance values was analyzed using the Response Surface Methodology (RSM). The results demonstrate that SLA 3D-printing achieves substrates with low surface roughness, enabling the precise formation of fine features. Electric circuits are successfully formed on substrates printed with resin mixed with Laser Direct Structuring (LDS) additives, following laser structuring and metallization processes, with a minimum conductor spacing of 150 µm. Furthermore, through the integration of through-holes (vias) and the use of smaller package chips, such as Ball Grid Array (BGA) and Quad Flat No-lead (QFN), the circuits achieve further miniaturization and establish reliable electrical connections via soldering. Taken together, our results demonstrate that thermoset plastics serve as substrates for 3D-MID components, broadening the application scope of 3D-MID technology and providing a framework for circuit miniaturization on SLA-printed substrates.
Feeding Expressed Breast Milk Alters the Microbial Network of Breast Milk and Increases Breast Milk Microbiome Diversity over Time
Authors: Woortman Melissa A. , Barrett Emily S. , O’Connor Thomas G. , Gill Steven R. , Scheible Kristin , Brunner Jessica , Sun Haipeng , Dominguez-Bello Maria G.
Published: December 2024

Breastfeeding supplies nutrition, immunity, and hormonal cues to infants. Feeding expressed breast milk may result in de-phased milk production and feeding times, which distort the real-time circadian cues carried by breast milk. We hypothesized that providing expressed breast milk alters the microbiotas of both breast milk and the infant’s gut. To test this hypothesis, we analyzed the microbiota of serial breast milk and infant fecal samples obtained from 14 mother–infant dyads who were lactating, half of which were providing expressed breast milk. Infant fecal microbiota showed lower α-diversity than breast milk microbiota. Bacterial amplicon sequence variant sharing occurred between breast milk and infant feces with no feeding group differences. However, the age-dependent gain in breast milk α-diversity was only significant in the expressed breast milk group and not in the direct breastfeeding group, suggesting that decreased contact with the infant’s mouth influences the milk microbiota. Trending lower connectivity was also noted with breast milk microbes in the direct breastfeeding group, consistent with regular perturbations of the developing baby’s oral microbiota by latching on the breast. The results of this preliminary study urge further research to independently confirm the effects of providing expressed breast milk and their health significance.
Diversity and Plant Growth-Promoting Properties of Rhodiola rosea Root Endophytic Bacteria
Authors: Tamošiūnė Inga , Hakim Muhammad Fahad , Buzaitė Odeta , Stanys Vidmantas , Vinskienė Jurgita , Andriūnaitė Elena , Baniulis Danas
Published: December 2024

Plants inhabiting environments with suboptimal growth conditions often have a more pronounced capacity to attract and sustain microbial communities that improve nutrient absorption and expand abiotic stress tolerance. Rhodiola rosea L. is a succulent plant of the Crassulaceae family adapted to survive in sandy or rocky soils or dry tundra. The aim of the present study was to investigate the diversity and plant growth-stimulating potential of R. rosea endophytic microbiota. Metataxonomic analysis of the bacterial diversity in the rhizome of R. rosea revealed 108 families. Among these, three families were found exclusively in the core microbiome of 1-year-old plants, while nine families were unique to the core microbiome of mature plants grown in the field for more than 4 years. Seventy-three endophytic bacteria isolates were obtained from the rhizome of R. rosea plants and were assigned into 14 distinct bacterial genera of Firmicutes (26%) or Proteobacteria (74%) phyla. Screening for functional genes related to the nitrogen cycle, phosphorus mineralisation or dissolution, and traits associated with nitrogen fixation (56% of isolates), siderophore production (40%), inorganic phosphorus solubilisation (30%), and production of indole-related compounds (51%) led to the classification of the isolates into 16 distinct clusters. Co-cultivation of 45 selected isolates with germinating Arabidopsis seedlings revealed 18 and 5 isolates that resulted in more than a 20% increase in root or shoot growth, respectively. The study results established the complexity of the succulent R. rosea endophytic microbiome and identified isolates for potential plant growth-stimulating applications.
Coccidia Species and Geographical Distribution in Genus Sus: A Scoping Review
Authors: Han Hongyu , Dong Hui , Zhao Qiping , Zhu Shunhai , Huang Bing
Published: December 2024

Swine coccidiosis is a widespread disease caused by species of the apicomplexan parasites Eimeria and Cystoisospora. Coccidiosis is a common cause of diarrhea in suckling piglets worldwide that directly reduces piglets’ immunity and increases the risk of infection with other enteropathogens, leading to increased clinical infection and mortality and consequent economic losses in the global pig industry. We searched the available literature to date, including English and Chinese articles, using six electronic bibliographic databases, including PubMed, ScienceDirect, Web of Science, CNKI, VIP Chinese Journal Database, and Wanfang Data. A standard approach for conducting scoping reviews was used to identify studies on the species and distribution of genus Sus coccidia worldwide. A quality assessment was done for each study reviewed and relevant information reported in the identified studies was collated, categorized, and summarized. A total of 149 publications and references were eligible for the final review. The distribution of 18 species of genus Sus coccidia recorded in 63 countries was collated. These included 15 Eimeria and 3 Cystoisospora species. C. suis was found in 48 countries, E. debliecki in 45 countries, E. scabra in 33 countries, E. polita in 31 countries, E. suis in 28 countries, E. perminuta in 26 countries, E. porci in 24 countries, E. neodebliecki and E.spinosa in 21 countries each, E.guevarai in 5 countries, C. almataensis in 4 countries, E. betica in 2 countries, and E. almataensis, E. ibrahimovae, E. residualis, E. szechuanensis, E. yanglingensis, and C. sundarbanensis were each found in only 1 country. Each species was listed according to its scientific name, host name, finding location, and geographical distribution. This review reflects the distribution and infection of genus Sus coccidia worldwide and provides more complete basic information to aid our understanding of the species and geographical distribution of coccidia in the genus Sus.
Exploring the Effects of Imidacloprid on Liver Health and the Microbiome in Rats: A Comprehensive Study
Authors: Qumsani Alaa T.
Published: December 2024

The current study investigates the systemic effects of imidacloprid, one of the most widely used neonicotinoid insecticides, on the liver and gut microbiome of rats in detail. With consideration of recent discussions on the potential harmfulness of imidacloprid to environmental and human health, the aim was to investigate the influence of this compound in the framework of controlled exposure at different dosages, namely, IMI-5, IMI-10, and IMI-30. Histopathological examination showed that liver morphology changed significantly with the dose, including in terms of cellular disorganization and signs of stress, with an alteration in the hepatic architecture. Morphological changes were related to disturbances in the activity of liver enzymes, reflecting deteriorating liver function with increased imidacloprid exposure. In parallel with this, a deep analysis of the gut microbiome revealed dramatic changes in microbial diversity and composition. Alpha diversity, represented by the Chao1 and Shannon indices, was significantly reduced with an increased dosage of imidacloprid. Subsequent beta diversity analysis, as visualized by principal component analysis, showed distinct clustering among the microbial communities, separated well between control and imidacloprid-treated groups, especially at higher dosages. Taxonomic analysis revealed an increase in the Firmicutes/Bacteroidetes ratio and a change in key phyla including Actinobacteria, Bacteroidetes, and Verrucomicrobia. A heatmap and bar charts further confirmed dose-dependent changes in microbial abundance. These changes point toward imidacloprid-induced dysbiosis, a reduction in microbial diversity, and an imbalance in the F/B ratio, usually associated with metabolic disorders. Overall, given these findings, it would seem that imidacloprid does indeed impose serious negative impacts on both liver function and gut microbiota composition and may have further impacts on health and ecological safety.
Can Gut Microbiota Analysis Reveal Clostridioides difficile Infection? Evidence from an Italian Cohort at Disease Onset
Authors: Rosato Roberto , Quaranta Gianluca , Santarelli Giulia , Fancello Giovanni , Bianco Delia Mercedes , Monzo Francesca Romana , Bibbò Stefano , Cammarota Giovanni , Sanguinetti Maurizio , Masucci Luca , De Maio Flavio
Published: December 2024

A diverse and well-functioning gut microbiota normally serves as a protective shield against the invasion of harmful bacteria or the proliferation of opportunistic pathogens. Clostridioides difficile infection (CDI) is predominantly associated with the overuse of antibiotics, resulting in a significant alteration in the gut’s microbial balance. Unfortunately, the lack of global standardization does not allow for the identification of a set of biomarkers associated with the onset and progression of this disease. In this study, we examined the composition of the gut microbiota in patients at the time of the initial detection of CDI compared to a control group of CDI-negative individuals, with a focus on identifying potential CDI biomarkers for diagnosis. While no significant differences in the alpha and beta diversity between CDI-negative and CDI-positive individuals were found, we found that certain genera (such as Clostridium XIVa and Clostridium XVIII) showed different abundance patterns in the two groups, indicating potential differences in gut microbiota balance. In conclusion, am enrichment in Clostridium XI and a decrease in Faecalibacterium emerged in the CDI-positive patients and following antibiotic treatment, indicating that changes in the Clostridium/Faecalibacterium ratio may be a promising biomarker that warrants further investigation for CDI diagnosis.