bluuebunny/crossref_metadata_2025 huggingface dataset:
Antibacterial Activity and Multi-Targeted Mechanism of Action of Suberanilic Acid Isolated from Pestalotiopsis trachycarpicola DCL44: An Endophytic Fungi from Ageratina adenophora
Authors: Wen Juan , Okyere Samuel Kumi , Wang Shu , Wang Jianchen , Huang Ruya , Tang Ziyao , Wang Xiaoxuan , Shao Chenyang , Hu Yanchun
Published: September 2024

Methicillin-resistant Staphylococcus aureus (MRSA) is a highly threatening foodborne pathogen capable of causing severe organ and life-threatening diseases. Over the past years, various commercial antibiotics have been used to treat MRSA infections. However, these commercial antibiotics have not yielded efficient results and also cause other side effects; therefore, there is a need for the development of effective alternatives to replace these commercial antibiotics. Suberanilic acid, an amide alkaloid obtained from the endophytic fungus Pestalotiopsis trachycarpicola DCL44, has been identified as a significant antimicrobial agent. However, its antibiotic properties on multi-drug-resistant bacteria such as MRSA have not been fully explored. Therefore, to investigate the potential antimicrobial mechanism of suberanilic acid against MRSA, a quantitative proteomics approach using tandem mass tagging (TMT) was used. The results obtained in the study revealed that suberanilic acid targets multiple pathways in MRSA, including disruption of ribosome synthesis, inhibition of membrane translocation for nutrient uptake (ABC transporter system), and causing dysregulation of carbohydrate and amino acid energy metabolism. These results provide new insights into the mechanism of action of suberanilic acid against MRSA and offer technical support and a theoretical basis for the development of novel food antimicrobial agents derived from endophytic fungal origin.
Investigating the Promising P28 Peptide-Loaded Chitosan/Ceramic Bone Scaffolds for Bone Regeneration
Authors: Zhou Keran , Simonassi-Paiva Bianca , Fehrenbach Gustavo , Yan Guangming , Portela Alexandre , Pogue Robert , Cao Zhi , Fournet Margaret Brennan , Devine Declan M.
Published: September 2024

Bone has the ability to heal itself; however, bone defects fail to heal once the damage exceeds a critical size. Bone regeneration remains a significant clinical challenge, with autograft considered the ideal bone graft material due to its sufficient porosity, osteogenic cells, and biological growth factors. However, limitations to bone grafting, such as limited bone stock and high resorption rates, have led to a great deal of research into developing bone graft substitutes. The P28 peptide is a small molecule bioactive biomimetic alternative to mimic the bone morphogenetic protein 2 (BMP-2). In this study, we investigated the potential of P28-loaded hybrid scaffolds to mimic the natural bone structure for enhancing the bone regeneration process. We hypothesized that the peptide-loaded scaffolds and nude scaffolds both have the potential to promote bone healing, and the bone healing process is accelerated by the release of the peptide. To verify our hypothesis, C2C12 cells were evaluated for the presence of calcium deposits by histological stain at 7 and 14 days in cultures with hybrid scaffolds. Total RNA was isolated from C2C12 cells cultured with hybrid scaffolds for 7 and 14 days to assess osteoblast differentiation. The project findings demonstrated that the hybrid scaffold could enhance osteoblast differentiation and significantly improve the therapeutic effects of the scaffold in bone regeneration.
Silicon-28-Tetrafluoride as an Educt of Isotope-Engineered Silicon Compounds and Bulk Materials for Quantum Systems
Authors: Ernst Owen C. , Uebel David , Brendler Roman , Kraushaar Konstantin , Steudel Max , Acker Jörg , Kroke Edwin
Published: September 2024

This review provides a summary of the existing literature on a crucial raw material for the production of isotopically pure semiconductors, which are essential for the development of second-generation quantum systems. Silicon-28-tetrafluoride (28SiF4) is used as an educt for several isotope-engineered chemicals, such as silane-28 (28SiH4) and silicon-28-trichloride (28SiHCl3), which are needed in the pursuit of various quantum technologies. We are exploring the entire chain from the synthesis of 28SiF4 to quantum applications. This includes the chemical properties of SiF4, isotopic enrichment, conversion to silanes, conversion to bulk 28Si and thin films, the physical properties of 28Si (spin neutrality, thermal conductivity, optical properties), and the applications in quantum computing, photonics, and quantum sensing techniques.
Implementing a Diet Risk Score (DRS) for Spanish-Speaking Adults in a Clinical Setting: A Feasibility Study
Authors: Johnston Emily A. , Torres Maria , Hansen John , Ochoa Kimberly , Mortenson Daniel , De Leon Elaine , Beasley Jeannette M.
Published: September 2024

Tools to briefly assess diet among US Spanish-speaking adults are needed to identify individuals at risk for cardiometabolic disease (CMD) related to diet. Two registered dietitian nutritionists (RDNs) recruited bilingual medical students to translate the validated Diet Risk Score (DRS) into Spanish (DRS-S). Participants were recruited from a federally qualified health center. Students administered the DRS-S and one 24-h recall (Automated Self-Administered 24-Hour (ASA24®) Dietary Assessment Tool) on one day; a second recall was administered within 1 week. Recalls were scored using the Healthy Eating Index (HEI)-2015, a measure of adherence to the Dietary Guidelines for Americans. Spearman correlations, weighted kappa, and ANOVA were conducted using SAS 9.4 to assess the relative validity of the DRS-S. Thirty-one Spanish-speaking adults (female: n = 17, 53%; mean age: 58 (42–69)) completed assessments. The mean DRS-S was 9 (SD = 4.2) (max: 27; higher score = higher risk) and the mean HEI-2015 score was 65.7 (SD = 9.7) (max: 100; higher score = lower risk), with significant agreement between measures (r: −0.45 (p = 0.01)), weighted kappa: −0.3 (p = 0.03). The DRS-S can be used in resource-constrained settings to assess diet for intervention and referral to RDNs. The DRS-S should be tested in clinical care to assess the impact of dietary changes to reduce CMD risk.
The Clinical Effect of a Propolis and Mangosteen Extract Complex in Subjects with Gingivitis: A Randomized, Double-Blind, and Placebo-Controlled Clinical Trial
Authors: Jung Jae-Suk , Choi Geum-Hee , Lee Heelim , Ko Youngkyung , Ji Suk
Published: September 2024

This study investigated the efficacy and safety of a propolis–mangosteen extract complex (PMEC) on gingival health in patients with gingivitis and incipient periodontitis. A multicentered, randomized, double-blind, placebo-controlled trial involving 104 subjects receiving either PMEC or placebo for eight weeks was conducted. The primary focus was on the changes in inflammatory biomarkers from gingival crevicular fluid (GCF), with clinical parameters as secondary outcomes. The results revealed that the PMEC group showed a significantly reduced expression of all measured GCF biomarkers compared to the placebo group (p < 0.0001) at 8 weeks, including substantial reductions in IL-1β, PGE2, MMP-8, and MMP-9 levels compared to the baseline. While clinical parameters trended towards improvement in both groups, the intergroup differences were not statistically significant. No significant adverse events were reported, indicating a favorable safety profile. These findings suggest that PMEC consumption can attenuate gingival inflammation and mitigate periodontal tissue destruction by modulating key inflammatory mediators in gingival tissue. Although PMEC shows promise as a potential adjunctive therapy for supporting gingival health, the discrepancy between biomarker improvements and clinical outcomes warrants further investigation to fully elucidate its therapeutic potential in periodontal health management.
Combinatory Effect of Pequi Oil (Caryocar brasiliense)-Based Nanoemulsions Associated to Docetaxel and Anacardic Acid (Anacardium occidentale) in Triple-Negative Breast Cancer Cells In Vitro
Authors: Ombredane Alicia Simalie , Martins Natália Ornelas , de Souza Gabriela Mara Vieira , Araujo Victor Hugo Sousa , Szlachetka Ísis O. , da Silva Sebastião William , da Rocha Márcia Cristina Oliveira , Oliveira Andressa Souza de , Holanda Cleonice Andrade , Romeiro Luiz Antonio Soares , Damas Elysa Beatriz de Oliveira , Azevedo Ricardo Bentes , Joanitti Graziella Anselmo
Published: September 2024

Combination therapy integrated with nanotechnology offers a promising alternative for breast cancer treatment. The inclusion of pequi oil, anacardic acid (AA), and docetaxel (DTX) in a nanoemulsion can amplify the antitumor effects of each molecule while reducing adverse effects. Therefore, the study aims to develop pequi oil-based nanoemulsions (PeNE) containing DTX (PDTX) or AA (PAA) and to evaluate their cytotoxicity against triple-negative breast cancer cells (4T1) in vitro. The PeNE without and with AA (PAA) and DTX (PDTX) were prepared by sonication and characterized by ZetaSizer® and electronic transmission microscopy. Viability testing and combination index (CI) were determined by MTT and Chou-Talalay methods, respectively. Flow cytometry was employed to investigate the effects of the formulations on cell structures. PeNE, PDTX, and PAA showed hydrodynamic diameter < 200 nm and a polydispersity index (PdI) of 0.3. The association PDTX + PAA induced a greater decrease in cell viability (~70%, p < 0.0001) and additive effect (CI < 1). In parallel, an association of the DTX + AA molecules led to antagonism (CI > 1). Additionally, PDTX + PAA induced an expressive morphological change, a major change in lysosome membrane permeation and mitochondria membrane permeation, cell cycle blockage in G2/M, and phosphatidylserine exposure. The study highlights the successful use of pequi oil nanoemulsions as delivery systems for DTX and AA, which enhances their antitumor effects against breast cancer cells. This nanotechnological approach shows significant potential for the treatment of triple-negative breast cancer.
Belarus’s Sound Body
Authors: Eckstein Justin
Published: September 2024

This study delves into the creative protest tactics of Belarusian activists in 2011, highlighting their use of “sound bodies” created through clapping to challenge authoritarian constraints. The research posits that these ethereal sound bodies exert significant normative pressure on the regime by challenging the regime’s legitimacy. By analyzing the clapping protests as civil disobedience, this study illustrates the effectiveness of this non-visual form of protest in compelling the authoritarian regime to address the collective call for change. Through this lens, this paper contributes a nuanced understanding of how decentralized protest strategies, particularly those leveraging sound, can serve as potent mechanisms for challenging oppressive governance in a digitally connected global landscape. This essay thus intervenes into the realms of argumentation theory and sound studies.
Fluorometric Mercury (II) Detection Using Heteroatom-Doped Carbon and Graphene Quantum Dots
Authors: Chaghazardi Mosayeb , Kashanian Soheila , Nazari Maryam , Omidfar Kobra , Joseph Yvonne , Rahimi Parvaneh
Published: September 2024

Mercury ion (Hg2+) is one of the most toxic pollutants that can exist throughout the environment and be diffused into water, soil, air, and eventually the food chain. Even a very low level of Hg2+ diffused in living organisms can hurt their DNA and cause the permanent damage of the central nervous system and a variety of consequential disorders. Hence, the development of a sensitive and specific method for the detection of Hg2+ at trace ranges is extremely important as well as challenging. Fluorometric detection assays based on graphene quantum dots (GQDs) and carbon quantum dots (CQDs) offer considerable potential for the determination and monitoring of heavy metals due to their fascinating properties. Although the quantum yield of GQDs and CQDs is sufficient for their use as fluorescent probes, doping with heteroatoms can significantly improve their optical properties and selectivity toward specific analytes. This review explores the primary advances of CQDs and GQDs in their great electronic, optical, and physical properties, their synthetic methods, and their use in Hg2+ fluorimetry detection.
A Watt-Level, High-Quality LG0,±1 Vortex Beam made from a Nd:YVO4 Laser Pumped by an Annular Beam
Authors: Guo Minghao , Tao Xin , Li Yueqing , Zhang Shirui , Wu Zhenkun , Gu Yuzong , Li Peng
Published: September 2024

In this work, we demonstrate a Watt-level, high-quality Laguerre–Gaussian (LG) LG0±1 vortex mode directly output from an end-pumped Nd:YVO4 laser by using an axicon-based annular pump beam. A theoretical model for the annular beam end-pumped solid-state laser with an LG vortex mode output was established. Chirality control of the vortex laser was achieved by carefully tilting the output coupler. Watt-level 1064 nm lasers with pure LG0,1/LG0,−1 vortex mode, and the incoherent superposition mode of LG0,1 odd and even petal modes, were achieved successively in our experiments. The intensity profile of the generated pure LG0,1 vortex laser was measured, and it can be well fitted by using the standard expression of the LG0,1 vortex mode. The beam quality of the pure LG0,1 mode is Mx2 = 2.01 and My2 = 2.00 along the x-axis and y-axis, respectively. Our study demonstrates that that axicon-based annular pumping has great potential in developing high-power vortex solid-state lasers with simple and compact structures.
SuperNANO: Enabling Nanoscale Laser Anti-Counterfeiting Marking and Precision Cutting with Super-Resolution Imaging
Authors: Chen Yiduo , Yan Bing , Yue Liyang , Jones Charlotte L. , Wang Zengbo
Published: September 2024

In this paper, we present a unique multi-functional super-resolution instrument, the SuperNANO system, which integrates real-time super-resolution imaging with direct laser nanofabrication capabilities. Central to the functionality of the SuperNANO system is its capacity for simultaneous nanoimaging and nanopatterning, enabling the creation of anti-counterfeiting markings and precision cutting with exceptional accuracy. The SuperNANO system, featuring a unibody superlens objective, achieves a resolution ranging from 50 to 320 nm. We showcase the instrument’s versatility through its application in generating high-security anti-counterfeiting features on an aluminum film. These ‘invisible’ security features, which are nanoscale in dimension, can be crafted with arbitrary shapes at designated locations. Moreover, the system’s precision is further evidenced by its ability to cut silver nanowires to a minimum width of 50 nm. The integrated imaging and fabricating functions of the SuperNANO make it a pivotal tool for a variety of applications, including nanotrapping, sensing, cutting, welding, drilling, signal enhancement, detection, and nanoscale laser treatment.
Integrative Analyses of Metabolites and Transcriptome Reveal the Metabolic Pattern of Glucosinolates in Potherb Mustard (Brassica juncea var. multiceps)
Authors: Wang Jie , Yu Shunhao , Ren Xiliang , Wang Yating , Wang Zhongrui , Meng Qiufeng , Huang Yunping , Wang Yuhong
Published: September 2024

Potherb mustard (Brassica juncea var. multiceps) is one of the most commonly consumed leafy vegetable mustards, either fresh or in pickled form. It is rich in glucosinolates, whose hydrolyzed products confer potherb mustard’s distinctive flavor and chemopreventive properties. In this study, the composition and content of glucosinolates, as well as the hydrolysis pattern of sinigrin were investigated in potherb mustard leaves of different varieties. Variations in the glucosinolate profile and accumulation were observed among the potherb mustard varieties studied, with sinigrin being the predominant one in all varieties, accounting for 81.55% to 97.27%. Sinigrin tended to be hydrolyzed to isothiocyanate (ITC) rather than epithionitrile (EPN) in potherb mustard, while 3-butenyl nitrile (SIN-NIT) could be hardly detected. Transcriptome analysis revealed a higher expression level of numerous genes involved in aliphatic glucosinolate biosynthesis in X11 compared to X57, corresponding to the higher aliphatic glucosinolate accumulation in X11 (91.07 µmol/g) and lower level in X57 (25.38 µmol/g). ESM1 is known to repress nitrile formation and favor isothiocyanate production during glucosinolate hydrolysis. In this study, all four ESM1s showed a higher expression level in X11 compared to X57, which may determine the hydrolysis pattern of sinigrin in potherb mustard. Altogether, our findings shed light on the glucosinolate metabolic pattern in potherb mustard, which will also facilitate the engineering of metabolic pathways at key checkpoints to enhance bioactive compounds for tailored flavor or pharmaceutical needs.
Impacts of Elevated CO2 and a Nitrogen Supply on the Growth of Faba Beans (Vicia faba L.) and the Nitrogen-Related Soil Bacterial Community
Authors: Dong Xingshui , Lin Hui , Wang Feng , Shi Songmei , Wang Zhihui , Sharifi Sharifullah , Ma Junwei , He Xinhua
Published: September 2024

Ecosystems that experience elevated CO2 (eCO2) are crucial interfaces where intricate interactions between plants and microbes occur. This study addressed the impact of eCO2 and a N supply on faba bean (Vicia faba L.) growth and the soil microbial community in auto-controlled growth chambers. In doing so, two ambient CO2 concentrations (aCO2, daytime/nighttime = 410/460 ppm; eCO2, 550/610 ppm) and two N supplement levels (without a N supply—N0—and 100 mg N as urea per kg of soil—N100) were applied. The results indicated that eCO2 mitigated the inhibitory effects of a N deficiency on legume photosynthesis and affected the CO2 assimilation efficiency, in addition to causing reduced nodulation. While the N addition counteracted the reductions in the N concentrations across the faba beans’ aboveground and belowground plant tissues under eCO2, the CO2 concentrations did not significantly alter the soil NH4+-N or NO3−-N responses to a N supply. Notably, under both aCO2 and eCO2, a N supply significantly increased the relative abundance of Nitrososphaeraceae and Nitrosomonadaceae, while eCO2 specifically reduced the Rhizobiaceae abundance with no significant changes under aCO2. A redundancy analysis (RDA) highlighted that the soil pH (p < 0.01) had the most important influence on the soil microbial community. Co-occurrence networks indicated that the eCO2 conditions mitigated the impact of a N supply on the reduced structural complexity of the soil microbial communities. These findings suggest that a combination of eCO2 and a N supply to crops can provide potential benefits for managing future climate change impacts on crop production.
Toward the Production of Hydroxyapatite/Poly(Ether-Ether-Ketone) (PEEK) Biocomposites: Exploring the Physicochemical, Mechanical, Cytotoxic and Antimicrobial Properties
Authors: Costa Meirilany Rozeno , Filho José Adeilton Carvalho , Luna Carlos Bruno Barreto , Dantas Gleydis Manalig Pereira , Costa Ana Cristina Figueiredo de Melo , Oliveira Nadja Maria da Silva
Published: September 2024

The development of hydroxyapatite (HAp) and polyether ether ketone (PEEK) biocomposites has been extensively studied for bone repair applications due to the synergistic properties of the involved materials. In this study, we aimed to develop HAp/PEEK biocomposites using high-energy ball milling, with HAp concentrations (20%, 40%, and 60% w/v) in PEEK, to evaluate their physicochemical, mechanical, cytotoxicity, and antimicrobial properties for potential applications in Tissue Engineering (TE). The biocomposites were characterized by structure, morphology, apparent porosity, diametral compression strength, cytotoxicity, and antimicrobial activity. The study results demonstrated that the HAp/PEEK biocomposites were successfully synthesized. The C2 biocomposite, containing 40% HAp, stood out due to the optimal distribution of HAp particles in the PEEK matrix, resulting in higher compression strength (246 MPa) and a homogeneous microstructure. It exhibited antimicrobial activity against Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli, with no cytotoxicity observed. These properties make the C2 biocomposite promising for regenerative medicine applications, combining mechanical strength, bioactivity, and biocompatibility.
Comparison of Bulk Polymeric Resin Composite and Hybrid Glass Ionomer Cement in Adhesive Class I Dental Restorations: A 3D Finite Element Analysis
Authors: di Lauro Alessandro E. , Ciaramella Stefano , Tribst João P. Mendes , Aliberti Angelo , Ausiello Pietro
Published: September 2024

This study aimed to investigate the mechanical behavior of resin composites and hybrid glass ionomer cement in class I adhesive dental restorations under loading and shrinkage conditions. Three CAD models of a mandibular first molar with class I cavities were created and restored with different techniques: a bi-layer of Equia Forte HT with Filtek One Bulk Fill Restorative composite (model A), a single layer of adhesive and Filtek One Bulk Fill Restorative (model B), and a single layer of Equia forte HT (model C). Each model was exported to computer-aided engineering software, and 3D finite element models were created. Models A and B exhibited a similar pattern of stress distribution along the enamel–restoration interface, with stress peaks of 12.5 MPa and 14 MPa observed in the enamel tissue. The sound tooth, B, and C models showed a similar trend along the interface between dentine and restoration. A stress peak of about 0.5 MPa was detected in the enamel of both the sound tooth and B models. Model C showed a reduced stress peak of about 1.2 MPa. A significant stress reduction in 4 mm deep class I cavities in lower molars was observed in models where non-shrinking dental filling materials, like the hybrid glass ionomer cement used in model C, were applied. Stress reduction was also achieved in model A, which employed a bi-layer technique with a shrinking polymeric filling material (bulk resin composite). Model C’s performance closely resembled that of a sound tooth.
Open-Air Processing of Mechanically Robust Metal Halide Perovskites with Controllable Thicknesses above 10 µm
Authors: Bakshi Kayshavi , Li Muzhi , Ahmad Muneeza , Mahaffey Mason , Rolston Nicholas
Published: September 2024

We report on the use of open-air blade-coating as a scalable method for producing metal halide perovskite films with >10× fracture energy for durability and mechanical stability through the addition of corn starch polymer additives. This results in a manufacturable and robust perovskite that has tunable thicknesses exceeding 10 µm, among the highest reported values for solution-processed polycrystalline films. We find that an increasing amount of starch causes more uniform carbon distribution within the perovskite thickness as quantified by cross-sectional elemental composition measurements. Further, the incorporation of starch introduces beneficial compressive film stresses. Importantly, the optoelectronic behavior is not compromised, as the photoluminescence spectrum becomes more homogenous with the addition of corn starch up to 20% by weight.
Intelligent Fuzzy Logic-Based Internal Model Control for Rotary Flexible Robots
Authors: Gad Omar Mohamed , Fareh Raouf , Khadraoui Sofiane , Bettayeb Maamar , Rahman Mohammad Habibur
Published: September 2024

Recently, there has been widespread and vital adoption of flexible manipulators due to their increased prevalence. This is attributed to the growing demand for flexibility in various tasks like refueling operations, inspections, and maintenance activities. Nevertheless, these robots are under-actuated systems characterized by a nonlinear behavior and present dynamic coupling interactions that contribute to the complexity of the control process. The main control objective is to achieve an accurate tracking of the desired position while simultaneously reducing oscillations occurring in the link. Therefore, this paper proposes integrating the tuning and adaptive control by employing fuzzy logic methodology in conjunction with internal model control (IMC). The suggested controller takes advantage of intelligent techniques, simple structure, robustness, and easy tuning of the conventional IMC. Both triangular and trapezoidal Membership Functions (MFs) are applied in this study to create a pair of Fuzzy Logic Controllers (FLCs) based on the Mamdani method. These controllers are employed to dynamically adjust the parameters of the IMC, in contrast to the fixed parameters used in the conventional IMC approach. The effectiveness of the suggested Adaptive-based Fuzzy IMC (AFIMC) is showcased through simulation and practical experimentation, in scenarios both with and without disturbances. Results indicate that this technique outperforms conventional IMC in achieving control objectives and rejecting disturbances.
The Irony of Technological Warfare: Reinhold Niebuhr’s Critique of Just War, Secular Rationalism, and Technological Progressivism in Military Weapons
Authors: Perez Luke M.
Published: September 2024

Reinhold Niebuhr stands alone among many 20th century theorists of religion and politics for at once rejecting both the natural law tradition of just war, as well as the secular-rationalist tradition of his progressive contemporaries. Nowhere is his dual criticism more evident than in his critical stance on technology in war. For Niebuhr, technological advancements were not only inevitable, but sometimes necessary to develop in the face of advances from nefarious actors in world affairs. But using technologically advanced weapons risked destroying the moral authority of a nation by engaging in utilitarian calculus. Religious and military ethicists concerned with the integration of technological advancement in contemporary war would do well to consider Niebuhr’s thought and how it might be developed further in order to address the new concerns raised not only by modern tools such as drones, hypersonic weapons, and AI, but also by whatever yet to be developed technologies remain past the temporal horizons.
Assessment of the Chemical Composition and Antioxidant Capacity of Flowers, Seeds, and Seed Cake of Cactus Pear (Opuntia ficus-indica L.) and Their Application in Biscuits
Authors: Brahmi Fatiha , Oufighou Amira , Smail-Benazzouz Leila , Hammiche Nouna , Hassaine Lydia , Boulekbache-Makhlouf Lila , Madani Khodir , Blando Federica
Published: September 2024

Functional ingredients rich in bioactive compounds can be added to conventional ingredients for the formulation of food to increase its nutraceutical potential. Three prickly pear parts, namely flowers, seeds, and seed cake were utilized in the current work as natural antioxidant resources. The flower extract gave the best amounts of antioxidants as estimated by spectrophotometric methods, which were 68.08 mg GAE/100 g DM for total phenolics; 6.91 mg QE/100 g DM for total flavonoids; 13.05 mg QE/100 g of DM for flavonols; and 0.22 mg/100 g of DM for condensed tannins. The three extracts showed a high proportion of antioxidant effect as determined by DPPH, ABTS, FRAP, and TAA in vitro assays. Chemical analysis and sensory testing were performed on biscuits that were made by adding powdered flowers, seeds, or seed cake. The biscuits made from the seed cake gave a higher protein content (83.97 mg/100 g) and the biscuits made from the seeds had the best ash concentration (3.21%), while the biscuits containing flower powder had the highest anti-radical activity (81.04%). Sensory analysis disclosed the preference for biscuits formulated with flowers or seeds (80%) by the experts. These findings demonstrated that the nutritional value of the biscuits was improved by their enrichment with cactus parts powders, and they were appreciated by tasters.
A Robust SAR-Optical Heterologous Image Registration Method Based on Region-Adaptive Keypoint Selection
Authors: Zhang Keke , Yu Anxi , Tong Wenhao , Dong Zhen
Published: September 2024

The differences in sensor imaging mechanisms, observation angles, and scattering characteristics of terrestrial objects significantly limit the registration performance of synthetic aperture radar (SAR) and optical heterologous images. Traditional methods particularly struggle in weak feature regions, such as harbors and islands with substantial water coverage, as well as in desolate areas like deserts. This paper introduces a robust heterologous image registration technique based on region-adaptive keypoint selection that integrates image texture features, targeting two pivotal aspects: feature point extraction and matching point screening. Initially, a dual threshold criterion based on block region information entropy and variance products effectively identifies weak feature regions. Subsequently, it constructs feature descriptors to generate similarity maps, combining histogram parameter skewness with non-maximum suppression (NMS) to enhance matching point accuracy. Extensive experiments have been conducted on conventional SAR-optical datasets and typical SAR-optical images with different weak feature regions to assess the method’s performance. The findings indicate that this method successfully removes outliers in weak feature regions and completes the registration task of SAR and optical images with weak feature regions.
Impact of a New Wave Mixing Scheme on Ocean Dynamics in Typhoon Conditions: A Case Study of Typhoon In-Fa (2021)
Authors: Chen Wei , Chen Jie , Shi Jian , Zhang Suyun , Zhang Wenjing , Xia Jingmin , Wang Hanshi , Yi Zhenhui , Wu Zhiyuan , Zhang Zhicheng
Published: September 2024

Wave-induced mixing can enhance vertical mixing in the upper ocean, facilitating the exchange of heat and momentum between the surface and deeper layers, thereby influencing ocean circulation and climate patterns. Building on previous research, this study proposes a wave-induced mixing parameterization scheme (referred to as EXP3) specifically designed for typhoon periods. This scheme was integrated into the fully coupled ocean–wave–atmosphere model COAWST and applied to analyze Typhoon In-Fa (2021) as a case study. The simulation results were validated against publicly available data, demonstrating a good overall match with observed phenomena. Subsequently, a comparative analysis was conducted between the EXP3 scheme, the previous scheme (EXP2) and the original model scheme (EXP1). Validation against Argo and Drifter buoy data revealed that both EXP2 and EXP3, which include wave-induced mixing effects, resulted in a decrease in the simulated mixed layer depth (MLD) and mixed layer temperature (MLT), with EXP3 showing closer alignment with the observed data. Compared to the other two experiments, EXP3 enhanced vertical motion in the ocean due to intensified wave-induced mixing, leading to increased upper-layer water divergence and upwelling, a decrease in sea surface temperature and accelerated rightward deflection of surface currents. This phenomenon not only altered the temperature structure of the ocean surface layer but also significantly impacted the regional ocean dynamics.
Target Fitting Method for Spherical Point Clouds Based on Projection Filtering and K-Means Clustered Voxelization
Authors: Wang Zhe , Hu Jiacheng , Shi Yushu , Cai Jinhui , Pi Lei
Published: September 2024

Industrial computed tomography (CT) is widely used in the measurement field owing to its advantages such as non-contact and high precision. To obtain accurate size parameters, fitting parameters can be obtained rapidly by processing volume data in the form of point clouds. However, due to factors such as artifacts in the CT reconstruction process, many abnormal interference points exist in the point clouds obtained after segmentation. The classic least squares algorithm is easily affected by these points, resulting in significant deviation of the solution of linear equations from the normal value and poor robustness, while the random sample consensus (RANSAC) approach has insufficient fitting accuracy within a limited timeframe and the number of iterations. To address these shortcomings, we propose a spherical point cloud fitting algorithm based on projection filtering and K-Means clustering (PK-RANSAC), which strategically integrates and enhances these two methods to achieve excellent accuracy and robustness. The proposed method first uses RANSAC for rough parameter estimation, then corrects the deviation of the spherical center coordinates through two-dimensional projection, and finally obtains the spherical center point set by sampling and performing K-Means clustering. The largest cluster is weighted to obtain accurate fitting parameters. We conducted a comparative experiment using a three-dimensional ball-plate standard. The sphere center fitting deviation of PK-RANSAC was 1.91 μm, which is significantly better than RANSAC’s value of 25.41 μm. The experimental results demonstrate that PK-RANSAC has higher accuracy and stronger robustness for fitting geometric parameters.
Design of MEMS Pressure Sensor Anti-Interference System Based on Filtering and PID Compensation
Authors: Li Baojie , Sun Guiling , Zhang Haicheng , Dong Liang , Kong Yunlong
Published: September 2024

Due to the inherent temperature drift and lack of static stability in traditional pressure sensors, which make it difficult for them to meet the increasing demands of various industries, this paper designs a new system. The proposed system integrates temperature measurement and regulation circuits, signal processing, and communication circuits to accurately acquire and transmit pressure sensor data. The system designs a filtering algorithm to filter the original data and develops a data-fitting operation to achieve error compensation of the static characteristics. In order to eliminate the temperature drift problem of the sensor system, the system also adopts an improved PID thermostatic control algorithm to compensate for the temperature drift. Finally, it can also transmit the processed pressure data remotely. The experimental results show that the nonlinear error at 50 °C is reduced from the initial 1.82% to 0.24%; the hysteresis error is significantly reduced from 1.23% to 0.046%; and the repeatability error control is reduced from 3.79% to 0.89%. By compensating for thermal drift, the system’s thermal sensitivity drift coefficient is reduced by 74.67%, the thermal zero drift coefficient is reduced by 66.24%, and the wireless communication range is up to 1km. The above significant optimization results fully validate the high accuracy and stability of the system, which is perfectly suited for demanding pressure measurement applications.
The Construction and Application of a Digital Coal Seam for Shearer Autonomous Navigation Cutting
Authors: Hao Xuedi , Zhang Jiajin , Wen Rusen , Gao Chuan , Xu Xianlei , Ge Shirong , Zhang Yiming , Wang Shuyang
Published: September 2024

Accurately obtaining the geological characteristic digital model of a coal seam and surrounding rock in front of a fully mechanized mining face is one of the key technologies for automatic and continuous coal mining operation to realize an intelligent unmanned working face. The research on how to establish accurate and reliable coal seam digital models is a hot topic and technical bottleneck in the field of intelligent coal mining. This paper puts forward a construction method and dynamic update mechanism for a digital model of coal seam autonomous cutting by a coal mining machine, and verifies its effectiveness in experiments. Based on the interpolation model of drilling data, a fine coal seam digital model was established according to the results of geological statistical inversion, which overcomes the shortcomings of an insufficient lateral resolution of lithology and physical properties in a traditional geological model and can accurately depict the distribution trend of coal seams. By utilizing the numerical derivation of surrounding rock mining and geological SLAM advanced exploration, the coal seam digital model was modified to achieve a dynamic updating and optimization of the model, providing an accurate geological information guarantee for intelligent unmanned coal mining. Based on the model, it is possible to obtain the boundary and inclination information of the coal seam profile, and provide strategies for adjusting the height of the coal mining machine drum at the current position, achieving precise control of the automatic height adjustment of the coal mining machine.
Energy Performance of LR-FHSS: Analysis and Evaluation
Authors: Sanchez-Vital Roger , Casals Lluís , Heer-Salva Bartomeu , Vidal Rafael , Gomez Carles , Garcia-Villegas Eduard
Published: September 2024

Long-range frequency hopping spread spectrum (LR-FHSS) is a pivotal advancement in the LoRaWAN protocol that is designed to enhance the network’s capacity and robustness, particularly in densely populated environments. Although energy consumption is paramount in LoRaWAN-based end devices, this is the first study in the literature, to our knowledge, that models the impact of this novel mechanism on energy consumption. In this article, we provide a comprehensive energy consumption analytical model of LR-FHSS, focusing on three critical metrics: average current consumption, battery lifetime, and energy efficiency of data transmission. The model is based on measurements performed on real hardware in a fully operational LR-FHSS network. While in our evaluation, LR-FHSS can show worse consumption figures than LoRa, we find that with optimal configuration, the battery lifetime of LR-FHSS end devices can reach 2.5 years for a 50 min notification period. For the most energy-efficient payload size, this lifespan can be extended to a theoretical maximum of up to 16 years with a one-day notification interval using a cell-coin battery.
Highly Tunable Light Absorber Based on Topological Interface Mode Excitation of Optical Tamm State
Authors: Liu Xiangjun , Shi Jingxu , Wang Yixuan , Sun Shiyao , Wang Xiangfu
Published: September 2024

Optical absorbers based on Tamm plasmon states are known for their simple structure and high operational efficiency. However, these absorbers often have limited absorption channels, and it is challenging to continuously adjust their light absorption rates. Here, we propose a Tamm plasmon state optical absorber composed of a layered stack structure consisting of one-dimensional topological photonic crystals and graphene nano-composite materials. Using the four-by-four transfer matrix method, we investigate the structural relationship of the absorber. Our results reveal that topological interface states (TISs) effectively excite the optical Tamm state (OTS), leading to multiple absorption peaks. This expands the number of absorption channels, with the coupling number of the TIS determining the transmission quality of these channels—a value further adjustable by the period number of the photonic crystals. Tuning the filling factor, refractive index, and thickness of the graphene nano-composite material allows for a wide range of control over the device’s absorption rate, from 0 to 1. Additionally, adjusting the defect layer thickness, incident angle, and Fermi energy enables us to control the absorber’s operational bandwidth and the switching of its absorption effect. This work presents a new approach to expanding the tunability of optoelectronic devices.
Underwater Image Enhancement Based on Luminance Reconstruction by Multi-Resolution Fusion of RGB Channels
Authors: Wang Yi , Chen Zhihua , Yan Guoxu , Zhang Jiarui , Hu Bo
Published: September 2024

Underwater image enhancement technology is crucial for the human exploration and exploitation of marine resources. The visibility of underwater images is affected by visible light attenuation. This paper proposes an image reconstruction method based on the decomposition–fusion of multi-channel luminance data to enhance the visibility of underwater images. The proposed method is a single-image approach to cope with the condition that underwater paired images are difficult to obtain. The original image is first divided into its three RGB channels. To reduce artifacts and inconsistencies in the fused images, a multi-resolution fusion process based on the Laplace–Gaussian pyramid guided by a weight map is employed. Image saliency analysis and mask sharpening methods are also introduced to color-correct the fused images. The results indicate that the method presented in this paper effectively enhances the visibility of dark regions in the original image and globally improves its color, contrast, and sharpness compared to current state-of-the-art methods. Our method can enhance underwater images in engineering practice, laying the foundation for in-depth research on underwater images.
Magnetic Sensor Array for Electric Arc Reconstruction in Circuit Breakers
Authors: D’Antona Gabriele , Ghezzi Luca , Prando Sara , Rigamonti Francesco
Published: September 2024

Noninvasive imaging of circuit breakers under short-circuit testing is addressed by recording the magnetic field produced over an array of external sensors and by solving an inverse problem to identify the causing current distribution. The temporal and spatial resolution of the sensing chain are studied and implemented in a physical set-up. A wire model is adopted to describe electrical current distribution. Additionally, the simpler, more direct approach to evaluating the passage of electric current in front of sensors is proposed. The dynamics of suitable approximating models of the electric arc that forms across contacts is obtained and agrees with multi-physical simulations and with experimental time histories of current and voltage. The two methods are flexible and allow the analysis of different types of circuit breakers.
Improvement of a Green’s Function Estimation for a Moving Source Using the Waveguide Invariant Theory
Authors: Kim Daehwan , Kim Donghyeon , Byun Gihoon , Kim Jeasoo , Song Heechun
Published: September 2024

Understanding the characteristics of underwater sound channels is essential for various remote sensing applications. Typically, the time-domain Green’s function or channel impulse response (CIR) is obtained using computationally intensive acoustic propagation models that rely on accurate environmental data, such as sound speed profiles and bathymetry. Ray-based blind deconvolution (RBD) offers a less computationally demanding alternative using plane-wave beamforming to estimate the Green’s function. However, the presence of noise can obscure low coherence ray arrivals, making accurate estimation challenging. This paper introduces a method using the waveguide invariant to improve the signal-to-noise ratio (SNR) of broadband Green’s functions for a moving source without prior knowledge of range. By utilizing RBD and the frequency shifts from the striation slope, we coherently combine individual Green’s functions at adjacent ranges, significantly improving the SNR. In this study, we demonstrated the proposed method via simulation and broadband noise data (200–900 Hz) collected from a moving ship in 100 m deep shallow water.
Twenty-Meter Laser Strainmeter “Popova Isl.”
Authors: Bolsunovskii Mikhail , Dolgikh Grigory , Dolgikh Stanislav , Chupin Vladimir , Shvets Viacheslav , Yakovenko Sergey
Published: September 2024

This paper describes the design and principle of operation of a 20 m laser strainmeter of unequal-arm type created on the basis of a Michelson interferometer and frequency-stabilized helium–neon laser. The interferometry methods used allow the measurement of the displacement of an Earth’s crust section on the base of the laser strainmeter with an accuracy of 30 pm in the frequency range from 0 (conventionally) to 1000 Hz. This laser strainmeter, when connected to an accurate time system providing an accuracy of 1 μs, should structurally become a part of the laser interferometric seismoacoustic observatory, consisting of spatially separated laser strainmeters installed in various regions of Russia.
Explaining Housing Policy Change through Discursive Institutionalism
Authors: King Jordan Carnaby
Published: September 2024

Explaining how and why housing policies change is an ongoing theoretical challenge for housing scholars. A key approach is the ‘housing regimes’ framework (Kemeny 2006), drawing from Esping-Andersen’s work on the role of labour/capital struggles in shaping welfare states. However, this framework has been criticised (Stephens 2020; Clapham 2020) for inadequately explaining housing system changes, including neoliberal shifts and financialization. In response, scholars have turned to political science and sociology theories on policy change, such as historical institutionalism (Ruonavaara 2020) and discursive theories focusing on interactions between policy actors (Clapham 2018). This article builds on Clapham’s discursive turn in housing studies by incorporating concepts from ‘discursive institutionalism’ (DI) (Schmidt 2008). DI explains policy change by examining the interplay of ideas, interactions, and power dynamics in a given policy field. DI provides a methodological framework for understanding how policy actors develop and use ideas to shape policies, while considering the influence of the institutional context and power relations. The aim of the article is to highlight the utility of DI as a framework for examining housing policy change. As a vehicle for doing so, an analysis of social housing policy change in New Zealand employing DI is provided for empirical reference. The article builds on Clapham’s (2018) focus on discourse in housing studies, adding DI to the repertoire of conceptual frameworks available to researchers interested in the causal role of ideas and discourse in policy change processes.
Green Finance and Industrial Low-Carbon Transition: A Case Study on Green Economy Policy in Kazakhstan
Authors: Daniya Garafutdinova , Tang Decai
Published: September 2024

The transition to a low-carbon (LC) economy is a major challenge for governments around the world. This article aims to investigate the most effective market and governmental initiatives to facilitate the industrial sector’s shift to a less carbon-intensive economy. According to our analysis, the Green Economy Policy (GEP) has the potential to reduce industry carbon emissions (CEs) in some areas by promoting energy transition, rather than focusing on developing short-term reduction methods. We found that the GEP decreased pilot sites’ industrial carbon intensity (CI) by an average of 7.88%, and this reduction persisted after many robustness checks. The favorable impact of the GEP differs based on population size (large and small populations) and geographic location (eastern, central, western, northern, and southern regions). Also, it is critical to emphasize how crucial green financing (GF) is to ease the energy transition.
The New European Development Scoreboard for SDG11 at the European Level
Authors: Pricope Laurentiu Nicolae , Antohi Valentin Marian , Meca Alina , Buboi (Danaila) Angela , Fortea Costinela , Zlati Monica Laura
Published: September 2024

Urban development is a current priority in terms of improving the sustainability of cities amid demographic pressure and intensive economic development in the European Union. In this context, we aim to critically analyze the progress achieved by the European Member States in the period of 2010–2022 from the perspective of Sustainable Development Goal 11—Sustainable Cities and Communities—and conceptualize the new development scoreboard from the perspective of SDG11. The methods used consist in applying principal components analysis for a set of 15 sustainability indicators related to the studied objective and designing the new sustainability index from the perspective of the ODD11 and the European ranking. The results of the study will allow for the formulation of public policies useful for European decision makers to improve the progress made relating to this objective, and we believe that their implementation could support the transformation of European cities in a sustainable and equitable way.