bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation of Fibrous Three-Dimensional Porous Materials and Their Research Progress in the Field of Stealth Protection
Authors: Zhang Peng , Zhao Shuang , Chen Guobing , Li Kunfeng , Chen Jun , Zhang Zhen , Yang Feiyue , Yang Zichun
Published: June 2024

Intelligent and diversified development of modern detection technology greatly affects the battlefield survivability of military targets, especially infrared, acoustic wave, and radar detection expose targets by capturing their unavoidable infrared radiation, acoustic wave, and electromagnetic wave information, greatly affecting their battlefield survival and penetration capabilities. Therefore, there is an urgent need to develop stealth-protective materials that can suppress infrared radiation, reduce acoustic characteristics, and weaken electromagnetic signals. Fibrous three-dimensional porous materials, with their high porosity, excellent structural adjustability, and superior mechanical properties, possess strong potential for development in the field of stealth protection. This article introduced and reviewed the characteristics and development process of fibrous three-dimensional porous materials at both the micrometer and nanometer scales. Then, the process and characteristics of preparing fibrous three-dimensional porous materials through vacuum forming, gel solidification, freeze-casting, and impregnation stacking methods were analyzed and discussed. Meanwhile, their current application status in infrared, acoustic wave, and radar stealth fields was summarized and their existing problems and development trends in these areas from the perspectives of preparation processes and applicability were analyzed. Finally, several prospects for the current challenges faced by fibrous three-dimensional porous materials were proposed as follows: functionally modifying fibers to enhance their applicability through self-cross-linking; establishing theoretical models for the transmission of thermal energy, acoustic waves, and electromagnetic waves within fibrous porous materials; constructing fibrous porous materials resistant to impact, shear, and fracture to meet the needs of practical applications; developing multifunctional stealth fibrous porous materials to confer full-spectrum broadband stealth capability; and exploring the relationship between material size and mechanical properties as a basis for preparing large-scale samples that meet the application’s requirement. This review is very timely and aims to focus researchers’ attention on the importance and research progress of fibrous porous materials in the field of stealth protection, so as to solve the problems and challenges of fibrous porous materials in the field of stealth protection and to promote the further innovation of fibrous porous materials in terms of structure and function.
Low-Iron Diet-Induced Fatty Liver Development Is Microbiota Dependent and Exacerbated by Loss of the Mitochondrial Iron Importer Mitoferrin2
Authors: Klag Kendra A. , Bell Rickesha , Jia Xuan , Seguin Alexandra , Maschek J. Alan , Bronner Mary , Cox James E. , Round June L. , Ward Diane M.
Published: June 2024

Iron deficiency is the number one nutritional problem worldwide. Iron uptake is regulated at the intestine and is highly influenced by the gut microbiome. Blood from the intestines drains directly into the liver, informing iron status and gut microbiota status. Changes in either iron or the microbiome are tightly correlated with the development of metabolic dysfunction-associated steatotic liver disease (MASLD). To investigate the underlying mechanisms of the development of MASLD that connect altered iron metabolism and gut microbiota, we compared specific pathogen free (SPF) or germ-free (GF) mice, fed a normal or low-iron diet. SPF mice on a low-iron diet showed reduced serum triglycerides and MASLD. In contrast, GF low-iron diet-fed mice showed increased serum triglycerides and did not develop hepatic steatosis. SPF mice showed significant changes in liver lipid metabolism and increased insulin resistance that was dependent upon the presence of the gut microbiota. We report that total body loss of mitochondrial iron importer Mitoferrin2 (Mfrn2−/−) exacerbated the development of MASLD on a low-iron diet with significant lipid metabolism alterations. Our study demonstrates a clear contribution of the gut microbiome, dietary iron, and Mfrn2 in the development of MASLD and metabolic syndrome.
Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM)
Authors: García-Herreros Sergio , López Gómez Juan Jose , Cebria Angela , Izaola Olatz , Salvador Coloma Pablo , Nozal Sara , Cano Jesús , Primo David , Godoy Eduardo Jorge , de Luis Daniel
Published: June 2024

(1) Background: The aim was to validate an AI-based system compared to the classic method of reading ultrasound images of the rectus femur (RF) muscle in a real cohort of patients with disease-related malnutrition. (2) Methods: One hundred adult patients with DRM aged 18 to 85 years were enrolled. The risk of DRM was assessed by the Global Leadership Initiative on Malnutrition (GLIM). The variation, reproducibility, and reliability of measurements for the RF subcutaneous fat thickness (SFT), muscle thickness (MT), and cross-sectional area (CSA), were measured conventionally with the incorporated tools of a portable ultrasound imaging device (method A) and compared with the automated quantification of the ultrasound imaging system (method B). (3) Results: Measurements obtained using method A (i.e., conventionally) and method B (i.e., raw images analyzed by AI), showed similar values with no significant differences in absolute values and coefficients of variation, 58.39–57.68% for SFT, 30.50–28.36% for MT, and 36.50–36.91% for CSA, respectively. The Intraclass Correlation Coefficient (ICC) for reliability and consistency analysis between methods A and B showed correlations of 0.912 and 95% CI [0.872–0.940] for SFT, 0.960 and 95% CI [0.941–0.973] for MT, and 0.995 and 95% CI [0.993–0.997] for CSA; the Bland–Altman Analysis shows that the spread of points is quite uniform around the bias lines with no evidence of strong bias for any variable. (4) Conclusions: The study demonstrated the consistency and reliability of this new automatic system based on machine learning and AI for the quantification of ultrasound imaging of the muscle architecture parameters of the rectus femoris muscle compared with the conventional method of measurement.
Vertical Transfer of Maternal Gut Microbes to Offspring of Western Diet-Fed Dams Drives Reduced Levels of Tryptophan Metabolites and Postnatal Innate Immune Response
Authors: Sugino Kameron Y. , Janssen Rachel C. , McMahan Rachel H. , Zimmerman Chelsea , Friedman Jacob E. , Jonscher Karen R.
Published: June 2024

Maternal obesity and/or Western diet (WD) is associated with an increased risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in offspring, driven, in part, by the dysregulation of the early life microbiome. Here, using a mouse model of WD-induced maternal obesity, we demonstrate that exposure to a disordered microbiome from WD-fed dams suppressed circulating levels of endogenous ligands of the aryl hydrocarbon receptor (AHR; indole, indole-3-acetate) and TMAO (a product of AHR-mediated transcription), as well as hepatic expression of Il10 (an AHR target), in offspring at 3 weeks of age. This signature was recapitulated by fecal microbial transfer from WD-fed pregnant dams to chow-fed germ-free (GF) lactating dams following parturition and was associated with a reduced abundance of Lactobacillus in GF offspring. Further, the expression of Il10 was downregulated in liver myeloid cells and in LPS-stimulated bone marrow-derived macrophages (BMDM) in adult offspring, suggestive of a hypo-responsive, or tolerant, innate immune response. BMDMs from adult mice lacking AHR in macrophages exhibited a similar tolerogenic response, including diminished expression of Il10. Overall, our study shows that exposure to maternal WD alters microbial metabolites in the offspring that affect AHR signaling, potentially contributing to innate immune hypo-responsiveness and progression of MASLD, highlighting the impact of early life gut dysbiosis on offspring metabolism. Further investigations are warranted to elucidate the complex interplay between maternal diet, gut microbial function, and the development of neonatal innate immune tolerance and potential therapeutic interventions targeting these pathways.
Specific Foods Associated with Depressive Symptoms among Young Adults and Their Bioactive Effects
Authors: Park Junghyun , Lee Hae-Jeung
Published: June 2024

Depression represents a widespread and devastating psychiatric public health challenge globally. It is particularly prevalent among young adults in Korea. Certain foods may have medicinal properties that alleviate depressive symptoms. This study aimed to examine the association between specific foods and depressive symptoms among young adults, exploring their bioactive effects and possible mechanisms. We conducted a cross-sectional study involving 1000 Korean young adults aged 18–39 years. Food frequency questionnaires were used to assess diets and their associations with depressive symptoms. Results from multivariable logistic regression analysis indicated associations between several specific foods and their effects: milk (odds ratio = 0.58, 95% confidence interval: 0.36–0.94), eggs (0.55, 0.35–0.87), bananas (0.58, 0.36–0.94), oranges (0.62, 0.40–0.96), sweet potatoes (0.60, 0.37–0.97), mushrooms (0.53, 0.31–0.92, females only), and kimchi (0.40, 0.17–0.95, males only). Furthermore, molecular docking indicated that hesperidin had the highest docking score of 5.86 in oranges. Several bioactive compounds identified as potentially beneficial in combatting depression include calcium, casein, alpha-lactalbumin, tryptophan (TRP), vitamin B6 and B12, magnesium, flavonoids (especially hesperidin), carotenoids, ergothioneine, fiber, and probiotics. To recommend these foods in the management of depression among young adults, further clinical intervention studies are necessary.
Trust in the Leader, Organizational Commitment, and Nurses’ Intention to Leave—Insights from a Nationwide Study Using Structural Equation Modeling
Authors: Ivziku Dhurata , Biagioli Valentina , Caruso Rosario , Lommi Marzia , De Benedictis Anna , Gualandi Raffaella , Tartaglini Daniela
Published: June 2024

Nursing retention is a major challenge globally. Ongoing workforce instability across countries underscores the need to understand the factors influencing turnover and nursing retention. Trust is a crucial element in managing workplace relationships between nurse managers and nurses. Existing studies have shown the direct impact of trust on employees’ intention to leave their job but have not explored the effects of potential mediators such as organizational commitment. The aim of this study was to examine the impact of trust in the leader on nurses’ intention to leave their job through the mediation of organizational commitment. A cross-sectional study was conducted in Italy. A convenience sample of 1853 nurses completed a self-report survey. The study tested a hypothesis-based mediation model using structural equation modeling, which showed good fit indices. The results indicated that trust in the leader had a significant impact on nurses’ intention to leave, and this relationship was partially mediated by organizational commitment. Nurses who trust their leader are more likely to demonstrate higher levels of organizational commitment, resulting in a lower intention to leave their job. Furthermore, organizational commitment and trust emerge as critical factors in reducing nurses’ intention to leave their current positions. Therefore, managers can reduce nurses’ intention to leave by building trustful relationships that enhance organizational commitment.This study was not registered.
Rickettsia asembonensis Isolated from Four Human Cases with Acute Undifferentiated Febrile Illness in Peru
Authors: Loyola Steev , Palacios-Salvatierra Rosa , Cáceres-Rey Omar , Richards Allen L.
Published: June 2024

Rickettsioses, often underreported, pose public health challenges. Rickettsia asembonensis is a potential emerging pathogen that was previously detected in humans, animals, and a variety of arthropods. While its pathogenicity in humans remains unclear, it poses a potential public health threat. Here, we present an extended epidemiological, diagnostic, and genetic analysis of the information provided in a preliminary report on the investigation of rickettsiae in Peru. In particular, we report the detection of R. asembonensis in blood specimens collected from four human patients with an acute undifferentiated fever of a seven- to nine-day duration, all of whom tested negative for other vector-borne pathogens. Additionally, we describe the replicative capacity of the R. asembonensis isolates in cell cultures.
In Vitro and Randomized Controlled Clinical Study of Natural Constituents’ Anti-HPV Potential for Treatment of Plantar Warts Supported with In Silico Studies and Network Analysis
Authors: Shady Nourhan Hisham , Mokhtar Fatma Alzahraa , Abdullah Hend Samy , Abdel-Aziz Salah A. , Mohamad Soad A. , Imam Mohamed S. , El Afify Sherin Refat , Abdelmohsen Usama Ramadan
Published: June 2024

The aim of this study is to evaluate the anti-HPV potential of a Moringa olifera Lam seed, Nigella sativa L. seed, and Musa Acuminata peel herbal mixture in the form of polymer film-forming systems. A clinical trial conducted in outpatient clinics showed that the most significant outcome was wart size and quantity. Compared to the placebo group, the intervention group’s size and number of warts were considerably better according to the results. Chemical profiling assisted by LC-HRMS led to the dereplication of 49 metabolites. Furthermore, network pharmacology was established for the mixture of three plants; each plant was studied separately to find out the annotated target genes, and then, we combined all annotated genes of all plants and filtered the genes to specify the genes related to human papilloma virus. In a backward step, the 24 configured genes related to HPV were used to specify only 30 compounds involved in HPV infection based on target genes. CA2 and EGFR were the top identified genes with 16 and 12 edges followed by PTGS2, CA9, and MMP9 genes with 11 edges each. A molecular docking study for the top active identified compounds of each species was conducted in the top target HPV genes, CA2 and EGFR, to investigate the mode of interaction between these compounds and the targets’ active sites.
Transformation of ABT-199 Nanocrystal Suspensions into a Redispersible Drug Product—Impact of Vacuum Drum Drying, Spray Drying and Tableting on Re-Nanodispersibility
Authors: Schönfeld Barbara , Sundermann Julius , Keller Benjamin-Luca , Westedt Ulrich , Heinzerling Oliver
Published: June 2024

The present study compared vacuum drum drying (VDD) and conventional spray drying (SD) for solidifying crystalline ABT-199 nanosuspensions into redispersible oral drug products. The aim was to optimize formulation compositions and process conditions to maintain nanoparticle size after tablet redispersion. The impact of drug load (22%, 33%, 44%) and type of drying protectant (mannitol, mannitol/trehalose mix (1:1), trehalose) on redispersibility and material powder properties were investigated. Moreover, compression analysis was performed assessing the influence of compaction pressure on primary nanocrystal redispersibility and tablet disintegration. Higher drug loads and lower drying protectant levels resulted in particle growth, confirming a drug load dependence on redispersibility behavior. Notably, all drying protectants showed similar protection properties at properly chosen drying process parameters (Tg-dependent), except when VDD was used for mannitol formulations. Differences between the applied drying processes were observed in terms of downstream processing and tabletability: mannitol-containing formulations solidified via VDD showed an improved processability compared to formulations with trehalose. In conclusion, VDD is a promising drying technique that offers advantageous downstream processability compared to SD and represents an attractive novel processing technology for the pharmaceutical industry. As demonstrated in the present study, VDD combines higher yields with a leaner manufacturing process flow. The improved bulk properties provide enhanced tabletability and enable direct compression.
Geometry-Driven Fabrication of Mini-Tablets via 3D Printing: Correlating Release Kinetics with Polyhedral Shapes
Authors: Kim Young-Jin , Choi Yu-Rim , Kang Ji-Hyun , Park Yun-Sang , Kim Dong-Wook , Park Chun-Woong
Published: June 2024

The aim of this study was to fabricate mini-tablets of polyhedrons containing theophylline using a fused deposition modeling (FDM) 3D printer, and to evaluate the correlation between release kinetics models and their geometric shapes. The filaments containing theophylline, hydroxypropyl cellulose (HPC), and EUDRAGIT RS PO (EU) could be obtained with a consistent thickness through pre-drying before hot melt extrusion (HME). Mini-tablets of polyhedrons ranging from tetrahedron to icosahedron were 3D-printed using the same formulation of the filament, ensuring equal volumes. The release kinetics models derived from dissolution tests of the polyhedrons, along with calculations for various physical parameters (edge, SA: surface area, SA/W: surface area/weight, SA/V: surface area/volume), revealed that the correlation between the Higuchi model and the SA/V was the highest (R2 = 0.995). It was confirmed that using 3D- printing for the development of personalized or pediatric drug products allows for the adjustment of drug dosage by modifying the size or shape of the drug while maintaining or controlling the same release profile.
‘Organ’ising Floral Organ Development
Authors: Maio Kestrel A. , Moubayidin Laila
Published: June 2024

Flowers are plant structures characteristic of the phylum Angiosperms composed of organs thought to have emerged from homologous structures to leaves in order to specialize in a distinctive function: reproduction. Symmetric shapes, colours, and scents all play important functional roles in flower biology. The evolution of flower symmetry and the morphology of individual flower parts (sepals, petals, stamens, and carpels) has significantly contributed to the diversity of reproductive strategies across flowering plant species. This diversity facilitates attractiveness for pollination, protection of gametes, efficient fertilization, and seed production. Symmetry, the establishment of body axes, and fate determination are tightly linked. The complex genetic networks underlying the establishment of organ, tissue, and cellular identity, as well as the growth regulators acting across the body axes, are steadily being elucidated in the field. In this review, we summarise the wealth of research already at our fingertips to begin weaving together how separate processes involved in specifying organ identity within the flower may interact, providing a functional perspective on how identity determination and axial regulation may be coordinated to inform symmetrical floral organ structures.
Tomato SlWRKY3 Negatively Regulates Botrytis cinerea Resistance via TPK1b
Authors: Luo Dan , Cai Jun , Sun Wenhui , Yang Qihong , Hu Guoyu , Wang Taotao
Published: June 2024

Botrytis cinerea is considered the second most important fungal plant pathogen, and can cause serious disease, especially on tomato. The TPK1b gene encodes a receptor-like kinase that can positively regulate plant resistance to B. cinerea. Here, we identified a tomato WRKY transcription factor SlWRKY3 that binds to the W-box on the TPK1b promoter. It can negatively regulate TPK1b transcription, then regulate downstream signaling pathways, and ultimately negatively regulate tomato resistance to B. cinerea. SlWRKY3 interference can enhance resistance to B. cinerea, and SlWRKY3 overexpression leads to susceptibility to B. cinerea. Additionally, we found that B. cinerea can significantly, and rapidly, induce the upregulation of SlWRKY3 expression. In SlWRKY3 transgenic plants, the TPK1b expression level was negatively correlated with SlWRKY3 expression. Compared with the control, the expression of the SA pathway marker gene PR1 was downregulated in W3-OE plants and upregulated in W3-Ri plants when inoculated with B. cinerea for 48 h. Moreover, SlWRKY3 positively regulated ROS production. Overall, SlWRKY3 can inhibit TPK1b transcription in tomato, and negatively regulate resistance to B. cinerea by modulating the downstream SA and ROS pathways.
Drought Resilience in Oil Palm Cultivars: A Multidimensional Analysis of Diagnostic Variables
Authors: Bayona-Rodríguez Cristihian , Romero Hernán Mauricio
Published: June 2024

Water scarcity is a significant constraint on agricultural practices, particularly in Colombia, where numerous palm cultivators rely on rainfed systems for their plantations. Identifying drought-tolerant cultivars becomes pivotal to mitigating the detrimental impacts of water stress on growth and productivity. This study scrutinizes the variability in drought responses of growth, physiological, and biochemical variables integral to selecting drought-tolerant oil palm cultivars in the nursery. A comprehensive dataset was compiled by subjecting seedlings of eleven cultivars to four soil water potentials (−0.05 MPa, −0.5 MPa, −1 MPa, and −2 MPa) over 60 days. This dataset encompasses growth attributes, photosynthetic parameters like maximum quantum yield and electron transfer rate, gas exchange (photosynthesis, transpiration, and water use efficiency), levels of osmolytes (proline and sugars), abscisic acid (ABA) content, as well as antioxidant-related enzymes, including peroxidase, catalase, ascorbate peroxidase, glutathione reductase, and superoxide dismutase. Principal Component Analysis (PCA) elucidated two principal components that account for approximately 65% of the cumulative variance. Noteworthy enzyme activity was detected for glutathione reductase and ascorbate peroxidase. When juxtaposed with the other evaluated cultivars, one of the cultivars (IRHO 7001) exhibited the most robust response to water deficit. The six characteristics evaluated (photosynthesis, predawn water potential, proline, transpiration, catalase activity, sugars) were determined to be the most discriminant when selecting palm oil cultivars with tolerance to water deficit.
The Effect of Thymus serpyllum L. and Its Preparations on Reduction of L. monocytogenes and S. aureus in Kombucha Fresh Cheese
Authors: Vukić Vladimir , Degenek Jovana , Kanurić Katarina , Vukić Dajana , Pavlić Branimir , Iličić Mirela , Kocić-Tanackov Sunčica , Mrkonjić Živan , Bulut Sandra , Zeković Zoran
Published: June 2024

Fresh cheese is characterized by a limited shelf life, which represents a major challenge in its production. Wild thyme (Thymus serpyllum L.) has an antimicrobial capacity demonstrated in numerous studies. The utilisation of its by-product obtained in the production of filter tea could improve fresh cheese technology by obtaining a product with additional functional value and protecting the environment by reducing industrial waste. Our study sought to explore how incorporating wild thyme, in the form of dry extract, supercritical fluid extract, and herbal ground, affects the microbiological composition of fresh cheese made with kombucha inoculum as the starter culture over a 30-day storage period. To assess antimicrobial efficacy, we deliberately exposed the samples we produced to common foodborne pathogens, namely Listeria monocytogenes and Staphylococcus aureus. The results showed that the total number of L. monocytogenes and S. aureus in each sample (produced with dry extract, supercritical fluid extract, and herbal ground) decreased significantly during the storage period. The decrease in L. monocytogenes count varied from 0.6 to 1.7 log CFU/g. The results suggest that a by-product from the production of wild thyme filter tea is suitable for the production of fresh cheese to improve its antimicrobial properties against L. monocytogenes and S. aureus.
Soft-Tissue Management Dental Implants with Digitally Customized Healing Abutments: A Pilot Study
Authors: De Francesco Maurizio , Ferrara Elisabetta , Inchingolo Francesco , Dalmaschio Grazieli , Pispero Alberto , Inchingolo Angelo Michele , Dipalma Gianna , Testori Tiziano , Tartaglia Gianluca Martino , Rapone Biagio
Published: June 2024

Background: This pilot study aimed to evaluate the effectiveness of digitally crafted customized healing abutments in stabilizing peri-implant soft tissues following tooth extraction and assess the preservation of peri-implant soft tissue architecture over 5 years. Material and Methods: Forty patients (age ≥ 25 years) were divided into test (n = 20) and control (n = 20) groups. The test group received dental implants with immediate loading after tooth extraction, along with customized healing abutments fabricated using CAD/CAM technology. The control group received dental implants with immediate loading without customized healing abutments. The primary outcome was the change in distance between the peri-implant soft tissue margin and implant fixture surface from baseline to 5 years post implantation. Results: In the test group, there was a significant decrease in the distance between the peri-implant soft tissue margin and fixture surface from baseline to 5 years (p < 0.001), with pairwise comparisons showing significant differences between multiple time points (p < 0.05). The control group showed less pronounced changes over time. Conclusions: Within the limitations of this pilot study, digitally fabricated customized healing abutments appear effective in stabilizing peri-implant soft tissues and preserving soft tissue architecture around dental implants over 5 years following immediate implant placement. Randomized controlled trials are needed to confirm these findings.
Flexural Properties of Three Novel 3D-Printed Dental Resins Compared to Other Resin-Based Restorative Materials
Authors: De Angelis Francesco , D’Amario Maurizio , Jahjah Ali , Frascaria Massimo , Vadini Mirco , Sorrentino Edoardo , Biferi Virginia , D’Arcangelo Camillo
Published: June 2024

To evaluate the flexural strength and flexural modulus of three recently introduced 3D-Printed resins and compare them with the flexural properties of other well known, already commercialized, and extensively used resin based dental materials. Three 3D-printed dental resins, a fiber-reinforced epoxy resin, a heat-cured bis-acrylate-based composite resin, two conventional CAD/CAM PMMA, and a graphene-reinforced CAD/CAM PMMA, were selected for this study. Ten prismatic-shaped specimens (2 × 2 × 25 mm) were fabricated for each material (n = 10). All specimens underwent a three-point bending test using a universal testing machine and were loaded until fracture. Flexural strength (MPa) and flexural modulus (MPa) mean values were calculated and compared using the on ranks One-Way ANOVA test. Scanning electron microscope analysis of the 3D-printed resins was performed. Significantly different flexural properties were recorded among the tested materials. The fiber-reinforced epoxy resin exhibited the highest flexural strength (418.0 MPa) while, among the 3D-printed resins, the best flexural strength was achieved by Irix-Max (135.0 MPa). Irix-Plus and Temporis led to the lowest mean flexural strength values (103.9 MPa and 101.3 MPa, respectively) of all the CAD/CAM milled materials, except for the conventional PMMA by Sintodent (88.9 MPa). The fiber-reinforced epoxy resin also showed the highest flexural modulus (14,672.2 MPa), followed by the heat-cured bis-acrylate composite (10,010.1 MPa). All 3D-printed resins had a higher flexural modulus than the conventional PMMA materials. CAD/CAM fiber-reinforced epoxy resin excels in flexural strength, with Irix-Max showing promising flexural properties, which could encourage its use for permanent restorations. Caution is needed with Irix-Plus and Temporis due to their lower flexural strength compared to other traditional materials.
Impact of Magnifying Loupes on the Finish Lines of Fixed Prosthesis Preparations
Authors: Nóbrega Catarina , Manso Maria Conceição , Herrero-Climent Mariano , Gil Javier , Ribeiro Paulo
Published: June 2024

Background: The use of magnification appears to offer advantages in dental preparation for fixed prosthetics and is widely employed in clinical practice, although it has not yet been thoroughly documented. Therefore, the primary objective is to determine the impact of magnification on the quality of finish lines during the performance of preparations for fixed prostheses. Methods: Sixty-four natural teeth were randomized into two groups: Group O (preparation without additional magnification) and Group L (preparation with Kitus® 2.5× magnifying glasses). The teeth were prepared for full crowns, and the finish lines were evaluated under the OPMI® PicoZeiss dental microscope at 10× magnification, based on the criteria of Continuity, Roughness, and Thickness. Results: There were no significant differences between the groups in any of the parameters evaluated. In Thickness, Group O had a median (IQR) of 600 µm (500; 800 µm) and Group L, 600 µm (400; 800 µm). Group L was Continuous in 64.8% of the cases, Slightly Continuous in 26.1% of the evaluations, and Not Continuous in 9.1% of the cases, thus having a slight advantage over Group O, whose values were 58.0%, 35.2%, and 6.8%, respectively. Group L was Polished in 71.0% of the cases and Rough in 29.0% of the evaluations, against 69.3% and 30.7% of Group O, respectively. These results were obtained using IBM SPSS ® software, version 29.0. Conclusions: The 2.5× magnification magnifiers demonstrated a slight positive impact on improving the quality of dental preparations for fixed prostheses. Nevertheless, since the results are not statistically significant, it is difficult to extrapolate them to the broader population.
Propaganda Fide and the Role of Apostolic Nuncios during the Early Modern Period: A Case Study of China
Authors: Zhang Rui
Published: June 2024

In 1622, a counter-reformist concept of the mission led to the foundation of Propaganda Fide, a congregation to which the Supreme Pontiffs entrusted various tasks at the global level, including the reassertion of the pope’s authority over missionary activities, which had previously been dominated by European secular powers using the patronage system. In carrying out its mandate, the new Congregation also charged apostolic nuncios, almost entirely Italian, with collecting information from and establishing direct contacts with the states of Catholic Christianity and of missionary territories beyond. These nuncios not only performed activities of a religious nature but also served as diplomats and representatives of the pope, endowed with particular powers and faculties. This article introduces the role of apostolic nuncios and analyzes the results of the first of these sent by the Propaganda Fide to China, Charles Thomas Maillard de Tournon. It will show that, as the first papal legate to China, he was not entirely successful in his objectives, but his mission can be seen as a turning point in the history of relations between the Holy See and China and as an important episode which helps us to understand not only early Sino–papal relations but also the development of the new global vision of the Catholic Church as it was formulated by the Propaganda Fide.
The Violation of the Law and Religious Freedom in the Context of the Case of the Russian Church in Sofia—A Real Legal, Political and Canonical Issue
Authors: Nikolchev Dilyan
Published: June 2024

For more than a century, in the center of Sofia, the capital of the Republic of Bulgaria, there is and functions the church of St. Nikolai Mirlikiyski the Wonderworker, known as the Russian church. The church was built at the beginning of the 20th century with the idea of being part of the complex of the Russian imperial diplomatic body in Sofia and to serve the Russian diplomats, their families and the Orthodox Russian citizens living permanently or temporarily in the Bulgarian capital. However, after its consecration in 1914, disputes began, both regarding the ownership of the church building and the canonical jurisdiction of the church—of the Metropolitan of Sofia or the Holy Synod of the Russian Orthodox Church in Moscow. This dispute culminated in September 2023, with the expulsion from Bulgaria of several Russian and Belarusian clergies serving in the Russian church on charges of espionage in favor of the Russian Federation. The subsequent closure of the church by the Russian ambassador Mitrofanova led to internal and external political tension and ecclesiological chaos in the country. The Russian side violated the Bulgarian Law on Religions, known as the Confessions Act 2002, and directly infringed the Statute of the Bulgarian Orthodox Church. This article provides expert answers to the public law, property rights and canonical issues concerning the case of the Russian church in Sofia, based on the relevant sources of law (ecclesiastical and civil).
U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery
Authors: Dimitrovski Ivica , Spasev Vlatko , Loshkovska Suzana , Kitanovski Ivan
Published: June 2024

Semantic segmentation of remote sensing imagery stands as a fundamental task within the domains of both remote sensing and computer vision. Its objective is to generate a comprehensive pixel-wise segmentation map of an image, assigning a specific label to each pixel. This facilitates in-depth analysis and comprehension of the Earth’s surface. In this paper, we propose an approach for enhancing semantic segmentation performance by employing an ensemble of U-Net models with three different backbone networks: Multi-Axis Vision Transformer, ConvFormer, and EfficientNet. The final segmentation maps are generated through a geometric mean ensemble method, leveraging the diverse representations learned by each backbone network. The effectiveness of the base U-Net models and the proposed ensemble is evaluated on multiple datasets commonly used for semantic segmentation tasks in remote sensing imagery, including LandCover.ai, LoveDA, INRIA, UAVid, and ISPRS Potsdam datasets. Our experimental results demonstrate that the proposed approach achieves state-of-the-art performance, showcasing its effectiveness and robustness in accurately capturing the semantic information embedded within remote sensing images.
RadWet-L: A Novel Approach for Mapping of Inundation Dynamics of Forested Wetlands Using ALOS-2 PALSAR-2 L-Band Radar Imagery
Authors: Oakes Gregory , Hardy Andy , Bunting Pete , Rosenqvist Ake
Published: June 2024

The ability to accurately map tropical wetland dynamics can significantly contribute to a number of areas, including food and water security, protection and enhancement of ecosystems, flood hazard management, and our understanding of natural greenhouse gas emissions. Yet currently, there is not a tractable solution for mapping tropical forested wetlands at high spatial and temporal resolutions at a regional scale. This means that we lack accurate and up-to-date information about some of the world’s most significant wetlands, including the Amazon Basin. RadWet-L is an automated machine-learning classification technique for the mapping of both inundated forests and open water using ALOS ScanSAR data. We applied and validated RadWet-L for the Amazon Basin. The proposed method is computationally light and transferable across the range of landscape types in the Amazon Basin allowing, for the first time, regional inundation maps to be produced every 42 days at 50 m resolution over the period 2019–2023. Time series estimates of inundation extent from RadWet-L were significantly correlated with NASA-GFZ GRACE-FO water thickness (Pearson’s r = 0.96, p < 0.01), USDA G-REALM lake hight (Pearson’s r between 0.63 and 0.91, p < 0.01), and in situ river stage measurements (Pearson’s r between 0.78 and 0.94, p < 0.01). Additionally, we conducted an evaluation of 11,162 points against the input ScanSAR data revealing spatial and temporal consistency in the approach (F1 score = 0.97). Serial classifications of ALOS-2 PALSAR-2 ScanSAR data by RadWet-L can provide unique insights into the spatio-temporal inundation dynamics within the Amazon Basin. Understanding these dynamics can inform policy in the sustainable use of these wetlands, as well as the impacts of inundation dynamics on biodiversity and greenhouse gas budgets.
Identifying Plausible Labels from Noisy Training Data for a Land Use and Land Cover Classification Application in Amazônia Legal
Authors: Hell Maximilian , Brandmeier Melanie
Published: June 2024

Most studies in the field of land use and land cover (LULC) classification in remote sensing rely on supervised classification, which requires a substantial amount of accurate label data. However, reliable data are often not immediately available, and are obtained through time-consuming manual labor. One potential solution to this problem is the use of already available classification maps, which may not be the true ground truth and may contain noise from multiple possible sources. This is also true for the classification maps of the MapBiomas project, which provides land use and land cover (LULC) maps on a yearly basis, classifying the Amazon basin into more than 24 classes based on the Landsat data. In this study, we utilize the Sentinel-2 data with a higher spatial resolution in conjunction with the MapBiomas maps to evaluate a proposed noise removal method and to improve classification results. We introduce a novel noise detection method that relies on identifying anchor points in feature space through clustering with self-organizing maps (SOM). The pixel label is relabeled using nearest neighbor rules, or can be removed if it is unknown. A challenge in this approach is the quantification of noise in such a real-world dataset. To overcome this problem, highly reliable validation sets were manually created for quantitative performance assessment. The results demonstrate a significant increase in overall accuracy compared to MapBiomas labels, from 79.85% to 89.65%. Additionally, we trained the L2HNet using both MapBiomas labels and the filtered labels from our approach. The overall accuracy for this model reached 93.75% with the filtered labels, compared to the baseline of 74.31%. This highlights the significance of noise detection and filtering in remote sensing, and emphasizes the need for further research in this area.
Depth-Guided Dehazing Network for Long-Range Aerial Scenes
Authors: Wang Yihu , Zhao Jilin , Yao Liangliang , Fu Changhong
Published: June 2024

Over the past few years, the applications of unmanned aerial vehicles (UAVs) have greatly increased. However, the decrease in clarity in hazy environments is an important constraint on their further development. Current research on image dehazing mainly focuses on normal scenes at close range or mid-range, while ignoring long-range scenes such as aerial perspective. Furthermore, based on the atmospheric scattering model, the inclusion of depth information is essential for the procedure of image dehazing, especially when dealing with images that exhibit substantial variations in depth. However, most existing models neglect this important information. Consequently, these state-of-the-art (SOTA) methods perform inadequately in dehazing when applied to long-range images. For the purpose of dealing with the above challenges, we propose the construction of a depth-guided dehazing network designed specifically for long-range aerial scenes. Initially, we introduce the depth prediction subnetwork to accurately extract depth information from long-range aerial images, taking into account the substantial variance in haze density. Subsequently, we propose the depth-guided attention module, which integrates a depth map with dehazing features through the attention mechanism, guiding the dehazing process and enabling the effective removal of haze in long-range areas. Furthermore, considering the unique characteristics of long-range aerial scenes, we introduce the UAV-HAZE dataset, specifically designed for training and evaluating dehazing methods in such scenarios. Finally, we conduct extensive experiments to test our method against several SOTA dehazing methods and demonstrate its superiority over others.
LRMSNet: A New Lightweight Detection Algorithm for Multi-Scale SAR Objects
Authors: Wu Hailang , Sang Hanbo , Zhang Zenghui , Guo Weiwei
Published: June 2024

In recent years, deep learning has found widespread application in SAR image object detection. However, when detecting multi-scale targets against complex backgrounds, these models often struggle to strike a balance between accuracy and speed. Furthermore, there is a continuous need to enhance the performance of current models. Hence, this paper proposes LRMSNet, a new multi-scale target detection model designed specifically for SAR images in complex backgrounds. Firstly, the paper introduces an attention module designed to enhance contextual information aggregation and capture global features, which is integrated into a backbone network with an expanded receptive field for improving SAR image feature extraction. Secondly, this paper develops an information aggregation module to effectively fuse different feature layers of the backbone network. Lastly, to better integrate feature information at various levels, this paper designs a multi-scale aggregation network. We validate the effectiveness of our method on three different SAR object detection datasets (MSAR-1.0, SSDD, and HRSID). Experimental results demonstrate that LRMSNet achieves outstanding performance with a mean average accuracy (mAP) of 95.2%, 98.9%, and 93.3% on the MSAR-1.0, SSDD, and HRSID datasets, respectively, with only 3.46 M parameters and 12.6 G floating-point operation cost (FLOPs). When compared with existing SAR object detection models on the MSAR-1.0 dataset, LRMSNet achieves state-of-the-art (SOTA) performance, showcasing its superiority in addressing SAR detection challenges in large-scale complex environments and across various object scales.
Wind Wave Effects on the Doppler Spectrum of the Ka-Band Spaceborne Doppler Measurement
Authors: Yu Miaomiao , Zhu Di , Dong Xiaolong
Published: June 2024

Sea surface wind, waves, and currents are the three basic parameters that describe the dynamic process of sea surface, and they are coupled with each other. To more accurately describe large-scale ocean motion and extract the ocean dynamic parameters, we adopt the spaceborne Doppler measurement to estimate the radial Doppler velocity generated by the sea surface motion. Due to the presence of wind and waves, the Doppler spectrum will be formed, shifted and broadened. Pulse-pair phase interference is used to obtain the Doppler spectrum from the sea surface echo. We simulate the Doppler spectrum with different look geometry and ocean states in a spaceborne condition. In this paper, the Doppler centroid variations are estimated after reducing the platform Doppler velocity under different observation conditions. With the increase in wind speed, the measured Doppler shift increases, and the simulated Doppler centroid accuracy is estimated. In addition, the measurement error along the trace direction is at the maximum, and the error in the cross-track is the smallest. At moderate wind-wave conditions, the Doppler velocity offset can be less than 0.1 m/s.
Reconstruction of High-Resolution 3D GPR Data from 2D Profiles: A Multiple-Point Statistical Approach
Authors: Zhang Chongmin , Gravey Mathieu , Mariéthoz Grégoire , Irving James
Published: June 2024

Ground-penetrating radar (GPR) is a popular geophysical tool for mapping the underground. High-resolution 3D GPR data carry a large amount of information and can greatly help to interpret complex subsurface geometries. However, such data require a dense collection along closely spaced parallel survey lines, which is time consuming and costly. In many cases, for the sake of efficiency, a choice is made during 3D acquisitions to use a larger spacing between the profile lines, resulting in a dense measurement spacing along the lines but a much coarser one in the across-line direction. Simple interpolation methods are then commonly used to increase the sampling before interpretation, which can work well when the subsurface structures are already well sampled in the across-line direction but can distort such structures when this is not the case. In this work, we address the latter problem using a novel multiple-point geostatistical (MPS) simulation methodology. For a considered 3D GPR dataset with reduced sampling in the across-line direction, we attempt to reconstruct a more densely spaced, high-resolution dataset using a series of 2D conditional stochastic simulations in both the along-line and across-line directions. For these simulations, the existing profile data serve as training images from which complex spatial patterns are quantified and reproduced. To reduce discontinuities in the generated 3D spatial structures caused by independent 2D simulations, the target profile being simulated is chosen randomly, and simulations in the along-line and across-line directions are performed alternately. We show the successful application of our approach to 100 MHz synthetic and 200 MHz field GPR data under multiple decimation scenarios where survey lines are regularly deleted from a dense 3D reference dataset, and the corresponding reconstructions are compared with the original data.
Integration of Handheld and Airborne Lidar Data for Dicranopteris Dichotoma Biomass Estimation in a Subtropical Region of Fujian Province, China
Authors: Li Xiaoxue , Wu Juan , Lu Shunfa , Li Dengqiu , Lu Dengsheng
Published: June 2024

Dicranopteris dichotoma is a pioneer herbaceous plant species that is tolerant to barrenness and drought. Mapping its biomass spatial distribution is valuable for understanding its important role in reducing soil erosion and restoring ecosystems. This research selected Luodihe watershed in Changting County, Fujian Province, China, where soil erosion has been a severe problem for a long time, as a case study to explore the method to estimate biomass, including total and aboveground biomass, through the integration of field measurements, handheld laser scanning (HLS), and airborne laser scanning (ALS) data. A stepwise regression model and an allometric equation form model were used to develop biomass estimation models based on Lidar-derived variables at typical areas and at a regional scale. The results indicate that at typical areas, both total and aboveground biomass were best estimated using an allometric equation form model when HLS-derived height and density variables were extracted from a window size of 6 m × 6 m, with the coefficients of determination (R2) of 0.64 and 0.58 and relative root mean square error (rRMSE) of 28.2% and 35.8%, respectively. When connecting HLS-estimated biomass with ALS-derived variables at a regional scale, total and aboveground biomass were effectively predicted with rRMSE values of 17.68% and 17.91%, respectively. The HLS data played an important role in linking field measurements and ALS data. This research provides a valuable method to map Dicranopteris biomass distribution using ALS data when other remotely sensed data cannot effectively estimate the understory vegetation biomass. The estimated biomass spatial pattern will be helpful to understand the role of Dicranopteris in reducing soil erosion and improving the degraded ecosystem.