bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolutionary and Structural Insights into the RNA Polymerase I A34 Protein Family: A Focus on Intrinsic Disorder and Phase Separation
Authors: Knutson Bruce A. , Rothblum Lawrence I.
Published: January 2025

Background: Eukaryotic RNA polymerase I consists of 12 or 11 core subunits and three dissociable subunits, Rrn3, A34, and A49. The A34 and A49 subunits exist as a heterodimer. In silico analysis of the A34 family of transcription factors demonstrates a commonly shared domain structure despite a lack of sequence conservation, as well as N–terminal and C-terminal disordered regions. The common structure of A34 has an N–terminal disordered region followed by a dimerization domain that, in conjunction with A49, contributes to a fold that resembles the TFIIF core. This in turn is followed by a short region that cryo-EM demonstrates resembles an arm and intimately interacts with the PolR1A, PolR1B, and PolR1C subunits of Pol I. Analyses: This Pol I–binding domain is then followed by a region that is not resolved in cryo-EM and is predicted to be intrinsically disordered. Interestingly, the size/length of this disordered structure increases from yeast to humans, and is composed of repeats with unique sequence and biochemical features that also increase in number. Further analyses of the A34 CTD (carboxy–terminal domain) indicate that it has a high probability of undergoing liquid–liquid phase separation. Conclusions: We suggest that this intrinsically disordered domain found in the A34 family of Pol I transcription factors serves a function similar to the CTD of the PolR2A subunit in coordinating transcription initiation and elongation and RNA processing. Lastly, we propose that dynamic acetylation of PAF49 may regulate interactions of the intrinsically disordered CTD and thereby specify liquid–liquid phase separations. Overall, we propose a new paradigm for a repeat-containing CTD in Pol I transcription.
An Implexic Genealogical Analysis of the Absurd
Authors: Lightbody Brian
Published: January 2025

According to some, humanity’s search to answer the question “What is the meaning of life?” fuels the creative fires that forge all of civilization’s great religious, spiritual, and philosophical texts. But how seriously should we take the question? In the following paper, I provide an implexic genealogical analysis of the cognitive structures that make the very articulation of the question possible. After outlining my procedure, my paper begins by explaining the main components of a genealogical inquiry. Next, I examine Camus’s and Nagel’s respective analyses of philosophical absurdity, paying particular attention to their different evaluations of avatars of the absurd, such as the myth of Sisyphus. Finally, I demonstrate how we may complete Nagel’s solution to the absurd (which counsels that whenever the seeming meaninglessness of life is raised in consciousness, we address it with an ironic smile) by providing an evolutionary pathway of how the cognitive scaffolding required to ask the question about life’s meaning arose. I argue that by reframing philosophical absurdity, we see the phenomenon in a different light. In this very reframing, we may become free from the malaise often connected to avatars for the absurd.
Genetic Diversity and Structure of a Critically Endangered Ornamental Species, Rhododendron farinosum, with Extremely Small Populations
Authors: Li Fengjuan , Fan Linyuan , Zhang Jingli , Liu Wen , Li Wei , Ma Yongpeng , Ma Hong
Published: January 2025

A comprehensive study of the genetic characteristics of endangered species is a prerequisite for their effective conservation and management. Rhododendron farinosum is an endangered ornamental species with extremely small populations located in northeastern Yunnan Province. To unravel the reasons behind the endangerment of this species and provide guidance for the rational conservation of this species, this study obtained a large number of SNP loci by using double-digest restriction-site-associated DNA sequencing (ddRAD-seq) to evaluate the genetic diversity and genetic structure of R. farinosum, as well as to infer the population history of this species. Our findings reveal that, at the population level, R. farinosum exhibited a high genetic diversity (π = 0.1948 ± 0.0020, HE = 0.1880 ± 0.0020). The FST values (0.1383–0.2231) indicated high genetic differentiation among the three populations. The AMOVA revealed that 62.83% of the genetic variation originated within populations and 37.17% between populations. The PCA, Structure, and UPGMA consistently depicted that the three populations of R. farinosum are clearly distinguished into three clusters. Furthermore, the effective population size of R. farinosum was inferred to date back to 95,000 years ago using the stairway plot, with a continuous decline from 3292 years. Based on these findings, we propose conservation strategies and management measures for R. farinosum.
Role of miR-181 Family Members in Stroke: Insights into Mechanisms and Therapeutic Potential
Authors: Braicu Cornelia , Mureșanu Fior Dafin , Isachesku Ekaterina , Bornstein Natan , Filipović Saša R. , Strilciuc Stefan , Pana Adrian
Published: January 2025

Stroke is a major cause of mortality and long-term disability worldwide, making early diagnosis and effective treatment crucial for reducing its impact. In response to the limited efficacy of current treatments, alternative therapeutic strategies, such as novel biomarkers and therapies, are emerging to address this critical unmet medical need. MicroRNAs (miRNAs) are small, non-coding RNAs that regulate gene expression at the post-transcriptional level. Due to their dysregulation, they have been implicated in the onset and progression of various diseases. Recent research highlighted the important role of miR-181 family members in the context of stroke. Polymorphisms such as rs322931 in miR-181b are associated with increased stroke risk. miR-181 family members are aberrantly expressed and related to various aspects of stroke pathology, affecting inflammatory responses or neuronal survival. We provide a comprehensive overview of how alterations in miR-181 expression influence stroke mechanisms and their potential as therapeutic targets.
AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism
Authors: Fry-Nartey Lucindah N. , Akafia Cyril , Nkonu Ursula S. , Baiden Spencer B. , Dorvi Ignatus Nunana , Agyenkwa-Mawuli Kwasi , Agyapong Odame , Hayford Claude Fiifi , Wilson Michael D. , Miller Whelton A. , Kwofie Samuel K.
Published: January 2025

Toll-like receptor 4 (TLR4) has been implicated in the production of uncontrolled inflammation within the body, known as the cytokine storm. Studies that employ machine learning (ML) in the prediction of potential inhibitors of TLR4 are limited. This study introduces AICpred, a robust, free, user-friendly, and easily accessible machine learning-based web application for predicting inhibitors against TLR4 by targeting the TLR4-myeloid differentiation primary response 88 (MyD88) interaction. MyD88 is a crucial adaptor protein in the TLR4-induced hyper-inflammation pathway. Predictive models were trained using random forest, adaptive boosting (AdaBoost), eXtreme gradient boosting (XGBoost), k-nearest neighbours (KNN), and decision tree models. To handle imbalance within the training data, resampling techniques such as random under-sampling, synthetic minority oversampling technique, and the random selection of 5000 instances of the majority class were employed. A 10-fold cross-validation strategy was used to evaluate model performance based on metrics including accuracy, balanced accuracy, and recall. The XGBoost model demonstrated superior performance with accuracy, balanced accuracy, and recall scores of 0.994, 0.958, and 0.917, respectively, on the test. The AdaBoost and decision tree models also excelled with accuracies ranging from 0.981 to 0.992, balanced accuracies between 0.921 and 0.944, and recall scores between 0.845 and 0.891 on both training and test datasets. The XGBoost model was deployed as AICpred and was used to screen compounds that have been reported to have positive effects on mitigating the hyperinflammation-associated cytokine storm, which is a key factor in COVID-19. The models predicted Baricitinib, Ibrutinib, Nezulcitinib, MCC950, and Acalabrutinib as anti-TLR4 compounds with prediction probability above 0.90. Additionally, compounds known to inhibit TLR4, including TAK-242 (Resatorvid) and benzisothiazole derivative (M62812), were predicted as bioactive agents within the applicability domain with probabilities above 0.80. Computationally inferred compounds using AICpred can be explored as potential starting skeletons for therapeutic agents against hyperinflammation. These predictions must be consolidated with experimental screening to enhance further optimisation of the compounds. AICpred is the first of its kind targeting the inhibition of TLR4-MyD88 binding and is freely available at http://197.255.126.13:8080.
Repellency of Essential Oils and Plant-Derived Compounds Against Aedes aegypti Mosquitoes
Authors: Lopez April D. , Whyms Sophie , Luker Hailey A. , Galvan Claudia J. , Holguin F. Omar , Hansen Immo A.
Published: January 2025

Plant-based oils have a long history of use as insect repellents. In an earlier study, we showed that in a 10% concentration, geraniol, 2-phenylethl propionate, and the plant-based essential oils clove and cinnamon effectively protected from mosquito bites for over 60 min. To expand on this study, we reanalyzed our GC–MS data to identify the short organic constituents of these oils. We then used an arm-in-cage assay to test the repellency of different concentrations and combinations of these oils and pure compounds. We found a sigmoidal relationship between the complete protection time from mosquito bites and the concentration of these oils. The complete protection times we recorded for combinations of these oils suggest an absence of additive effects. The results of this study can inform the development of novel, effective, and plant-based insect repellents.
Use Case of Non-Fungible Tokens (NFTs): A Blockchain Approach for Geological Data Dissemination
Authors: Aufaristama Muhammad
Published: January 2025

The application of blockchain technology and Non-Fungible Tokens (NFTs) into geology offers potential for the preservation, management, and dissemination of geological data. This perspective paper explores the feasibility, benefits, and challenges of utilizing NFTs in managing geological data, particularly focusing on geology research materials. NFTs provide immutable, decentralized records that enhance data integrity, accessibility, and provenance, addressing long-standing issues in geological data management. This study outlines the key advantages of NFTs, including immutable record-keeping, enhanced accessibility, clear provenance and ownership, and interoperability across platforms. Specific use cases are highlighted, such as the creation of digital specimen collections, the development of interactive educational resources such as museums, and novel funding mechanisms for research. While the potential applications are promising, the discussion also addresses current limitations, including technical complexity, environmental concerns, and regulatory uncertainties. The opinion concludes with prospects, emphasizing the need for further research and technological advancements to fully realize the benefits of NFTs in geological data management, potentially revolutionizing the field of geology by making data more accessible, reliable, and secure.
Physician Perceptions of the Safety and Efficacy of GLP-1 Receptor Agonists: Underestimation of Cardiovascular Risk Reduction and Discrepancies with Clinical Evidence
Authors: Krishnan Srikanth , Srivastava Pratyaksh K. , Attaluri Jayram , Nayeri Rebecca , Chatterjee Dhananjay , Patel Jay , Nsair Ali , Budoff Matthew , Nayeri Arash
Published: January 2025

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and glucose-dependent insulinotropic polypeptide/GLP-1 receptor agonists (GIP/GLP-1 RAs) are emerging as effective treatments for obesity and cardiometabolic disease. This study evaluated physician perceptions of the safety and efficacy of semaglutide and tirzepatide through a questionnaire administered to 165 attending physicians specializing in internal or family medicine, with 122 responses received. Physicians reported an average patient weight loss of 9.22%, significantly lower than the 14.9% and 18.5% reported in the STEP and SURMOUNT trials, respectively. Estimated side effect rates (32.62%) were markedly lower than trial-reported rates (89.7% and 80.5%), while estimated discontinuation rates (8.59%) exceeded trial data. Cardiovascular benefits were perceived by 48.4% of physicians in diabetic patients, consistent with random guessing, and by only 39.3% in nondiabetic patients, significantly below random guessing expectations. These results highlight discrepancies between physician perceptions and clinical evidence, suggesting gaps in understanding regarding these agents’ efficacy and safety profiles. Addressing these gaps could enhance physician knowledge, patient adherence, and clinical outcomes.
Diagnostic Challenges of Medullary Carcinoma of the Small Intestine During the COVID-19 Pandemic
Authors: Szkudlarek Danuta , Skórkowska-Telichowska Katarzyna , Wiatrak Benita
Published: January 2025

Background: Medullary carcinoma of the small intestine is an exceptionally rare subtype of gastrointestinal cancer, characterized by its solid growth pattern and lack of glandular structures, which complicate timely diagnosis. During the COVID-19 pandemic, diagnostic delays for rare cancers became increasingly common due to the prioritization of COVID-related cases and patient reluctance to seek medical attention. Methods and Result: We present the case of a 70-year-old male initially misdiagnosed with COVID-19, whose persistent symptoms led to the eventual discovery of medullary carcinoma. Imaging studies revealed focal lesions in the liver, spleen, and thickened small intestinal walls, prompting surgical resection of a 16 cm intestinal segment. Histopathological examination confirmed medullary carcinoma with lymph node and liver metastases, supported by immunohistochemistry, which showed positive markers (calretinin, pancytokeratin, cytokeratin 7) and excluded other malignancies. Conclusions: The diagnostic delay, exacerbated by the pandemic, highlights the challenges of distinguishing rare cancers from more common conditions during global health crises. This case underscores the importance of advanced diagnostic techniques, such as immunohistochemistry, for accurate identification. Maintaining robust cancer diagnostic pathways during emergencies is crucial to avoid delays in treatment. Future research should focus on improving screening methods for rare cancers and developing resilient healthcare systems to mitigate similar challenges in future crises.
Analysis of Preventive Effect of Bisphosphonate for Osteoporotic Fracture in Patients with Alzheimer’s Disease and Patient Mortality
Authors: Jang Min Uk , Kwon Young-Min , Hwang Jihyun , Choi Go Woon , Kim Min Seong , Lee Dong I. , Jo Sang Won , Kim Sung Jae
Published: January 2025

Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease in the older adult population and is often associated with reduced physical activity. Reduced activity and mechanical loading subsequently reduce bone mineral density and increase risk of osteoporosis. Bisphosphonates (BPs) offer preventative effects on osteoporotic fractures in the general population, but their effects on patients with AD are less known. This study aimed to assess the impact of BPs on osteoporotic fractures and survival in patients with AD. Methods: In this nationwide retrospective cohort study, 43,469 patients from the Korea National Health Insurance Service database between 2004 and 2018 were included. All patients were diagnosed with AD and subsequently diagnosed with osteoporosis. Continuous use of BPs was defined as having prescriptions for BP medications one year after the diagnosis of osteoporosis. Propensity score matching paired 12,519 BP users with 12,518 non-users for post-fracture survival analysis. Results: Continuous use of BPs showed a significant preventative effect on the Cox regression model [hazard ratio (HR), 0.890–0.895; p < 0.001] but not on the logistic regression model. The occurrence of osteoporotic fractures in the hip or spine significantly increased the risk of death [hip, HR, 2.036; 95% confidence interval (CI), 1.789–2.316; p < 0.001; spine, HR, 1.465; CI, 1.305–1.644; p < 0.001]. Conclusions: Continuous use of BPs was associated with reduced occurrence of osteoporotic fractures in patients with AD. Patients with AD showed significantly higher mortality rates after the occurrence of osteoporotic fractures. Further studies with detailed patient characteristics and compliance are warranted.
Trends in Rheumatoid Hand Surgery: Indications, Techniques, and Outcomes
Authors: Nakayama Masanori , Kiyota Yasuhiro , Nakamura Soichiro , Yagi Mitsuru
Published: January 2025

Rheumatoid arthritis (RA) causes persistent synovitis and arthritis, resulting in joint deformity and destruction throughout the body. As RA medications have evolved over the past 30 years, the surgical indications and techniques for RA joint deformities have changed. The aim of this review article is to summarize the recent trend of surgery for rheumatoid hand/finger deformities in previous reports and to present our recent surgical methods and outcomes for these deformities. A typical hand and finger deformity caused by RA is ulnar deviation, which is mainly caused by joint laxity and dislocation of the metacarpophalangeal joints, in addition to extensor tendon dislocation and/or wrist joint deformity. Although the incidence of hand/finger deformity and ulnar deviation caused by RA is decreasing due to advances in RA medications, patients with long-term RA or those with difficult-to-treat RA may still develop hand/finger deformity and ulnar deviation. If the hand/finger deformity is mild, it can be reduced manually, and conservative treatment with orthoses or splints may be required. If joint pain is severe despite good medical control of RA, or if the patient hopes to improve the appearance of the hand or fingers, surgical intervention is required. If there is only subluxation of the joints, which preserves their structure, reconstruction with only soft tissue surgery may be required. For example, for swan-neck deformity and boutonniére deformity, two of the most typical finger deformities due to RA, when the joint structures are almost intact and can be corrected manually, we opt for a surgical procedure that involves only soft tissue manipulation without the use of prosthetic implants. For ulnar deviation without joint destruction, we usually use a soft tissue-only surgical procedure. Our results have shown that the soft tissue-only surgery for ulnar deviation is as effective as joint replacement with implants. If the destruction of the joint has occurred and its dislocation/subluxation cannot be reduced manually, implant arthroplasty becomes necessary. If the joint destruction is severe, only intra-articular arthrodesis is required. In the era when RA can be controlled by medication, the hand surgeon should not overlook the change in the stage of the rheumatoid hand and should perform surgical intervention via the appropriate surgical method.
Hybrid Quality-Based Recommender Systems: A Systematic Literature Review
Authors: Sabiri Bihi , Khtira Amal , El Asri Bouchra , Rhanoui Maryem
Published: January 2025

As technology develops, consumer behavior and how people search for what they want are constantly evolving. Online shopping has fundamentally changed the e-commerce industry. Although there are more products available than ever before, only a small portion of them are noticed; as a result, a few items gain disproportionate attention. Recommender systems can help to increase the visibility of lesser-known products. Major technology businesses have adopted these technologies as essential offerings, resulting in better user experiences and more sales. As a result, recommender systems have achieved considerable economic, social, and global advancements. Companies are improving their algorithms with hybrid techniques that combine more recommendation methodologies as these systems are a major research focus. This review provides a thorough examination of several hybrid models by combining ideas from the current research and emphasizing their practical uses, strengths, and limits. The review identifies special problems and opportunities for designing and implementing hybrid recommender systems by focusing on the unique aspects of big data, notably volume, velocity, and variety. Adhering to the Cochrane Handbook and the principles developed by Kitchenham and Charters guarantees that the assessment process is transparent and high in quality. The current aim is to conduct a systematic review of several recent developments in the area of hybrid recommender systems. The study covers the state of the art of the relevant research over the last four years regarding four knowledge bases (ACM, Google Scholar, Scopus, and Springer), as well as all Web of Science articles regardless of their date of publication. This study employs ASReview, an open-source application that uses active learning to help academics filter literature efficiently. This study aims to assess the progress achieved in the field of hybrid recommender systems to identify frequently used recommender approaches, explore the technical context, highlight gaps in the existing research, and position our future research in relation to the current studies.
Sliding Mode Control for Variable-Speed Trajectory Tracking of Underactuated Vessels with TD3 Algorithm Optimization
Authors: Zhu Shiya , Zhang Gang , Wang Qin , Li Zhengyu
Published: January 2025

An adaptive sliding mode controller (SMC) design with a reinforcement-learning parameter optimization method is proposed for variable-speed trajectory tracking control of underactuated vessels under scenarios involving model uncertainties and external environmental disturbances. First, considering the flexible control requirements of the vessel’s propulsion system, the desired navigation speed is designed to satisfy an S-curve acceleration and deceleration process. The rate of change of the trajectory parameters is derived. Second, to address the model uncertainties and external disturbances, an extended state observer (ESO) is designed to estimate the unknown bounded disturbances and to provide feedforward compensation. Moreover, an adaptive law is designed to estimate the upper bound of the unknown disturbances, ensuring system stability even in the presence of asymptotic observation errors. Finally, the Twin-Delayed Deep Deterministic Policy Gradient (TD3) algorithm is employed for real-time controller parameter tuning. Numerical simulation results demonstrate that the proposed method significantly improves the trajectory tracking accuracy and dynamic response speed of the underactuated vessel. Specifically, for a sinusoidal trajectory with an amplitude of 200 m and a frequency of 0.01, numerical results show that the proposed method achieves convergence of the longitudinal tracking error to zero, while the lateral tracking error remains stable within 1 m. For the circular trajectory with a radius of 300 m, the numerical results indicate that both the longitudinal and lateral tracking errors are stabilized within 1 m. Compared with the fixed-value sliding mode controller, the proposed method demonstrates superior trajectory tracking accuracy and smoother control performance.
Geological Conditions and Sedimentary Models of Oligocene and Eocene Effective Source Rocks in the Northern Yinggehai Basin
Authors: Pei Jianxiang , Hu Gaowei , Huo Zhipeng , Chen Zhihong , Chen Yabing , Fu Xiaofei , Wang Weihong , Liu Haiyu , Wang Yanan , Luo Jingshuang , Chen Guofei
Published: January 2025

The development of the effective source rocks of the Eocene and Oligocene directly determines the oil and gas exploration potential in the northern Yinggehai Basin in China. Based on the analogy with the Hanoi Depression in Vietnam and the Yacheng District in the Qiongdongnan Basin and the comprehensive analysis of self-geological conditions, the development conditions of Eocene and Oligocene source rocks in the northern Yinggehai Basin are examined, focusing on tectonic evolution, sedimentary facies, and the paleoenvironment. Finally, the sedimentary models for the effective source rocks are established. The tectonic activity controlled the formation of the sedimentary deep depression and the migration of the sedimentary trough center, which migrated from east to west and then south from the Eocene to the Oligocene, leading to the sedimentary migration of good muddy source rocks. There are multiple sedimentary facies in favor of source rocks, including lacustrine facies, shallow marine facies, and delta plain swamps. The paleoenvironment indicates that the paleoclimate transitioned from warm and humid to cold and arid, the redox conditions evolved from semi-reducing to oxic, and paleoproductivity increased from the early to late Oligocene. Therefore, the early Oligocene was more conducive to the enrichment of organic matter. It is speculated that the warm and humid paleoclimate, reducing environment, and high paleoproductivity of the Eocene promoted the sedimentation and preservation of more organic matter. The above studies show that the northern Yinggehai Basin, especially the sedimentary period of the Eocene and Oligocene, has favorable geological conditions for the development of effective source rocks. The sedimentary models for Eocene lacustrine mudstones and Oligocene marine mudstones and marine–continental transitional coal-measure source rocks were established. These studies make up for the serious deficiency of previous research and mean that there is great exploration potential for oil and gas in the northern Yinggehai Basin in China.
Harnessing Genetic Resistance in Maize and Integrated Rust Management Strategies to Combat Southern Corn Rust
Authors: Chang Jiaying , Wei Shizhi , Liu Yueyang , Zhao Zhiquan , Shi Jie
Published: January 2025

Southern corn rust (SCR) caused by Puccinia polysora Underw. has recently emerged as a focal point of study because of its extensive distribution, significant damage, and high prevalence in maize growing areas such as the United States, Canada, and China. P. polysora is an obligate biotrophic fungal pathogen that cannot be cultured in vitro or genetically modified, thus complicating the study of the molecular bases of its pathogenicity. High temperatures and humid environmental conditions favor SCR development. In severe cases, SCR may inhibit photosynthesis and cause early desiccation of maize, a decrease in kernel weight, and yield loss. Consequently, an expedited and accurate detection approach for SCR is essential for plant protection and disease management. Significant progress has been made in elucidating the pathogenic mechanisms of P. polysora, identifying resistance genes and developing SCR-resistant cultivars. A detailed understanding of the molecular interactions between maize and P. polysora will facilitate the development of novel and effective approaches for controlling SCR. This review gives a concise overview of the biological characteristics and symptoms of SCR, its life cycle, the molecular basis of interactions between maize and P. polysora, the genetic resistance of maize to SCR, the network of maize resistance to P. polysora infection, SCR management, and future perspectives.
Beyond Colonial Legacies: (Re)Conceptualising Rural Development Through the RDGI in South Africa
Authors: Sebola-Samanyanga Kgomotso Jackson Phillip
Published: January 2025

Despite constitutional recognition, significant barriers remain to the integration of traditional authorities into formal planning and development decision-making processes in South Africa. Observing resistance from traditional authorities towards what they deem as exclusive and restrictive planning instruments, this study interrogates the intricate power dynamics between traditional leadership structures and imposed local government entities in rural development, planning, and governance processes to propose a cooperative governance framework within the South African context. The proposed framework is termed the “Rural Development and Governance Initiative” (RDGI), which aims to bridge the divide between traditional and local authorities. This study applied qualitative methods to investigate the relations between authorities in Limpopo province, South Africa. The findings reveal ongoing disputes between traditional and local authorities regarding decision-making powers, legitimacy in development and planning, and the capacity limitations and constraints faced by traditional authorities. The implications of this work extend to the (re)conceptualisation of policies and future research directions in rural governance, land development, and planning in South Africa, advocating for a shift from foreign models to those that reflect African realities and aspirations.
A Comparative Analysis of Spatial Resolution Sentinel-2 and Pleiades Imagery for Mapping Urban Tree Species
Authors: Recanatesi Fabio , De Santis Antonietta , Gatti Lorenzo , Patriarca Alessio , Caputi Eros , Mancini Giulia , Iavarone Chiara , Rossi Carlo Maria , Delogu Gabriele , Perretta Miriam , Boccia Lorenzo , Ripa Maria Nicolina
Published: January 2025

Urbanization poses significant challenges to ecosystems, resources, and human well-being, necessitating sustainable planning. Urban vegetation, particularly trees, provides critical ecosystem services such as carbon sequestration, air quality improvement, and biodiversity conservation. Traditional tree assessments are resource-intensive and time-consuming. Recent advances in remote sensing, especially high-resolution multispectral imagery and object-based image analysis (OBIA), offer efficient alternatives for mapping urban vegetation. This study evaluates and compares the efficacy of Sentinel-2 and Pléiades satellite imagery in classifying tree species within historic urban parks in Rome—Villa Borghese, Villa Ada Savoia, and Villa Doria Pamphilj. Pléiades imagery demonstrated superior classification accuracy, achieving an overall accuracy (OA) of 89% and a Kappa index of 0.84 in Villa Ada Savoia, compared to Sentinel-2’s OA of 66% and Kappa index of 0.47. Specific tree species, such as Pinus pinea (Stone Pine), reached a user accuracy (UA) of 84% with Pléiades versus 53% with Sentinel-2. These insights underscore the potential of integrating high-resolution remote sensing data into urban forestry practices to support sustainable urban management and planning.
Estimation Model for Cotton Canopy Structure Parameters Based on Spectral Vegetation Index
Authors: Qi Yaqin , Chen Xi , Chen Zhengchao , Zhang Xin , Shen Congju , Chen Yan , Peng Yuanying , Chen Bing , Wang Qiong , Liu Taijie , Zhang Hao
Published: January 2025

The spectral vegetation indices derived from remote sensing data provide a detailed spectral analysis for assessing vegetation characteristics. This study investigated the relationship between cotton yield and canopy spectral indices to develop yield estimation models. Spectral reflectance data were collected at various growth stages using an ASD FieldSpec Pro VNIR 2500 spectrometer. Six prediction models were developed using spectral vegetation indices, including the Normalized Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI), to estimate the Leaf Area Index (LAI) and above-ground biomass. For LAI estimation using the NDVI, the power function model (y = 10.083x11.298) demonstrated higher precision, with a multiple correlation coefficient of R2 = 0.8184 and the smallest root mean square error (RMSE = 0.3613). These results confirm the strong predictive capacity of NDVI for LAI, with the power function model offering the best estimation accuracy. In estimating above-ground biomass using RVI, the power function model of y = 6.5218x1.33917 achieved the higher correlation (R2 = 0.8851) for fresh biomass with an RMSE of 0.1033, making it the most accurate. For dry biomass, the exponential function model (y = 9.1565 × 10−5∙exp(1.1146x)) was the most precise, achieving an R2 value of 0.8456 and the lowest RMSE value of 0.0076. These findings highlight the potential of spectral remote sensing for accurately predicting cotton canopy structural parameters and biomass weights. By integrating spectral analysis techniques with remote sensing, this research offers valuable insights for precision cotton planting and field management, enabling optimized agricultural practices and enhanced vegetation health monitoring.
Enhancement of Biopolymer Film Properties Using Spermidine, Zinc Oxide, and Graphene Oxide Nanoparticles: A Study of Physical, Thermal, and Mechanical Characteristics
Authors: Vafaei Esmaeil , Hasani Maryam , Salehi Nasrin , Sabbagh Farzaneh , Hasani Shirin
Published: January 2025

One of the main limitations of biopolymers compared to petroleum-based polymers is their weak mechanical and physical properties. Recent improvements focused on surmounting these constraints by integrating nanoparticles into biopolymer films to improve their efficacy. This study aimed to improve the properties of gelatin–chitosan-based biopolymer layers using zinc oxide (ZnO) and graphene oxide (GO) nanoparticles combined with spermidine to enhance their mechanical, physical, and thermal properties. The results show that adding ZnO and GO nanoparticles increased the tensile strength of the layers from 9.203 MPa to 17.787 MPa in films containing graphene oxide and zinc oxide, although the elongation at break decreased. The incorporation of nanoparticles reduced the water vapor permeability from 0.164 to 0.149 (g.m−2.24 h−1). Moreover, the transparency of the layers ranged from 72.67% to 86.17%, decreasing with higher nanoparticle concentrations. The use of nanoparticles enhanced the light-blocking characteristics of the films, making them appropriate for the preservation of light-sensitive food items. The thermal properties improved with an increase in the melting temperature (Tm) up to 115.5 °C and enhanced the thermal stability in the nanoparticle-containing samples. FTIR analysis confirmed the successful integration of all components within the films. In general, the combination of gelatin and chitosan, along with ZnO, GO, and spermidine, significantly enhanced the properties of the layers, making them stronger and more suitable for biodegradable packaging applications.
Resistance Spot Welding Defect Detection Based on Visual Inspection: Improved Faster R-CNN Model
Authors: Liu Weijie , Hu Jie , Qi Jin
Published: January 2025

This paper presents an enhanced Faster R-CNN model for detecting surface defects in resistance welding spots, improving both efficiency and accuracy for body-in-white quality monitoring. Key innovations include using high-confidence anchor boxes from the RPN network to locate welding spots, using the SmoothL1 loss function, and applying Fast R-CNN to classify detected defects. Additionally, a new pruning model is introduced, reducing unnecessary layers and parameters in the neural network, leading to faster processing times without sacrificing accuracy. Tests show that the model achieves over 90% accuracy and recall, processing each image in about 15 ms, meeting industrial requirements for welding spot inspection.
Influence of Potting Radius on the Structural Performance and Failure Mechanism of Inserts in Sandwich Structures
Authors: Filippou Filippos , Kermanidis Alexis Τ.
Published: January 2025

In this study, the mechanical performance and failure modes of cold-potted inserts within sandwich structures were examined, focusing on the influence of the potting radius, while maintaining constant insert radius and specimen characteristics. In this research, destructive testing was used to evaluate the pull out, load-carrying capacity, and failure mechanisms of the inserts. The methods of stiffness degradation and acoustic emissions (AE) were employed for structural health monitoring to capture real-time data on failure progression, including core buckling, core rupture, and skin delamination. The results indicated that increasing the potting radius significantly altered the failure modes and critical failure load of the insert system. A critical potting radius was identified where maximum stiffness was achieved. Beyond this point, insert fracture became the dominant failure mode, with minimal damage to the surrounding core and CFRP skins. Larger potting radii also led to reduced displacement at failure, increased ultimate loads, and elevated stiffness, which were maintained until sudden structural failure. Through detailed isolation and observation of each failure event and with the use of AE data, precise identification of system damage in real time was allowed, offering insights into the progression and causes of failure.
Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System
Authors: Ullah Asif , Younas Muhammad , Saharudin Mohd Shahneel
Published: January 2025

This research article proposes a new method for an enhanced Flexible Manufacturing System (FMS) using a combination of smart methods. These methods use a set of three technologies of Industry 4.0, namely Artificial Intelligence (AI), Digital Twin (DT), and Wi-Fi-based indoor localization. The combination tackles the problem of asset tracking through Wi-Fi localization using machine-learning algorithms. The methodology utilizes the extensive “UJIIndoorLoc” dataset which consists of data from multiple floors and over 520 Wi-Fi access points. To achieve ultimate efficiency, the current study experimented with a range of machine-learning algorithms. The algorithms include Support Vector Machines (SVM), Random Forests (RF), Decision Trees, K-Nearest Neighbors (KNN) and Convolutional Neural Networks (CNN). To further optimize, we also used three optimizers: ADAM, SDG, and RMSPROP. Among the lot, the KNN model showed superior performance in localization accuracy. It achieved a mean coordinate error (MCE) between 1.2 and 2.8 m and a 100% building rate. Furthermore, the CNN combined with the ADAM optimizer produced the best results, with a mean squared error of 0.83. The framework also utilized a deep reinforcement learning algorithm. This enables an Automated Guided Vehicle (AGV) to successfully navigate and avoid both static and mobile obstacles in a controlled laboratory setting. A cost-efficient, adaptive, and resilient solution for real-time tracking of assets is achieved through the proposed framework. The combination of Wi-Fi fingerprinting, deep learning for localization, and Digital Twin technology allows for remote monitoring, management, and optimization of manufacturing operations.
Extending the Meshless Natural-Neighbour Radial-Point Interpolation Method to the Structural Optimization of an Automotive Part Using a Bi-Evolutionary Bone-Remodelling-Inspired Algorithm
Authors: Oliveira Carlos , Pais Ana , Belinha Jorge
Published: January 2025

Topological structural optimization is a powerful computational tool that enhances the structural efficiency of mechanical components. It achieves this by reducing mass without significantly altering stiffness. This study combines the Natural-Neighbour Radial-Point Interpolation Method (NNRPIM) with a bio-inspired bi-evolutionary bone-remodelling algorithm. This combination enables non-linear topological optimization analyses and achieves solutions with optimal stiffness-to-mass ratios. The NNRPIM discretizes the problem using an unstructured nodal distribution. Background integration points are constructed using the Delaunay triangulation concept. Nodal connectivity is then imposed through the natural neighbour concept. To construct shape functions, radial point interpolators are employed, allowing the shape functions to possess the delta Kronecker property. To evaluate the numerical performance of NNRPIM, its solutions are compared with those obtained using the standard Finite Element Method (FEM). The structural optimization process was applied to a practical example: a vehicle’s suspension control arm. This research is divided into two phases. In the first phase, the optimization algorithm is applied to a standard suspension control arm, and the results are closely evaluated. The findings show that NNRPIM produces topologies with suitable truss connections and a higher number of intermediate densities. Both aspects can enhance the mechanical performance of a hypothetical additively manufactured part. In the second phase, four models based on a solution from the optimized topology algorithm are analyzed. These models incorporate established design principles for material removal commonly used in vehicle suspension control arms. Additionally, the same models, along with a solid reference model, undergo linear static analysis under identical loading conditions used in the optimization process. The structural performance of the generated models is analyzed, and the main differences between the solutions obtained with both numerical techniques are identified.
Forced Vibration Behaviour of Elastically Constrained Graphene Origami-Enabled Auxetic Metamaterial Beams
Authors: Karami Behrouz , Ghayesh Mergen H.
Published: January 2025

This paper explores the vibration behaviour of an elastically constrained graphene origami-enabled auxetic metamaterial beam subject to a harmonic external force. The effective mechanical properties of the metamaterial are approximated using a micromechanical model trained via a genetic algorithm provided in the literature. The three coupled equations of motion are solved numerically; a set of trigonometric functions is used to approximate the displacement components. The accuracy of the proposed model is confirmed by comparing it with the natural frequencies of a simplified non-metamaterial structure available in the literature. Following this validation, the investigation extends to investigate the forced vibration response of the metamaterial beam, examining the influence of the graphene origami distribution pattern and content, graphene folding degree, linear and shear layer stiffness, and geometrical parameters on the dynamic behaviour of the structure. The results generally highlight the considerable effect of the shear layer, modelled as a Pasternak foundation, on the vibration behaviour of the elastically constrained metamaterial beams.
A Comparative Study of the In Vitro Intestinal Permeability of Pinnatoxins and Portimine
Authors: Lanceleur Rachelle , Hort Vincent , Peyrat Marion , Habauzit Denis , Selwood Andrew I. , Fessard Valérie
Published: January 2025

The pinnatoxins (PnTXs) and portimines, produced by Vulcanodinium rugosum, have been detected in several countries, raising concerns for human health. Although no human poisoning from these toxins has been reported so far, they have been shown to distribute throughout the rodent body after oral administration. Therefore, we investigated the impact of PnTX analogs (PnTX-A, -E, -F, -G, and -H) and portimine (8, 16, and 32 ng/mL) on intestinal barrier integrity and their oral bioavailability using human Caco-2 cell monolayers treated for 2, 6, and 24 h. Our results demonstrated that all of the toxins could impair barrier integrity after 24 h, with differences observed for PnTX-A, -E, and -F, as well as portimine, the most potent of all. While PnTX-A and -E exhibited poor permeability, the other PnTXs were more penetrative, with a Papp > 1.5 × 10−6 cm·s−1. Portimine was the only toxin displaying both a time- and concentration-dependent passage, likely involving a passive diffusion process. The experimental results were compared to predictions obtained by QSAR tools. Although only qualitative, our results suggest that some of these compounds may be more likely to be distributed throughout the body. Further in vivo studies are required to estimate oral bioavailability and potential public health concerns.
Successful Treatment of Fungal Dermatitis in a Bottlenose Dolphin (Tursiops truncatus)
Authors: Kamio Takashi , Nojo Honoka , Kano Rui , Murakami Mami , Odani Yukako , Kanda Koji , Mori Tomoko , Akune Yuichiro , Kurita Masanori , Okada Ayaka , Inoshima Yasuo
Published: January 2025

In recent decades, many fungi have emerged as major causes of disease in marine mammals. This study reports on the detection of filamentous fungi in the subcutaneous tissue and wound surface on the tail fin of a managed bottlenose dolphin (Tursiops truncatus) emaciated due to severe digestive problems. Immunosuppression by chronic diseases and starvation decreased resistance against opportunistic infections. Sequencing analysis revealed that the fungi on the wound surface were Fusarium oxysporum, and antifungal susceptibility testing was performed. In the subcutaneous tissue, dematiaceous fungi were identified using histopathological examination. Combination antifungal treatment with voriconazole and terbinafine and surgical resection were performed, in addition to daily debridement with polyaminopropyl biguanide (PHMB) and betaine. Hematological examination revealed a reduction in inflammatory markers after antifungal treatment and surgical resection of necrotic tissue on the edge of the tail fin. The co-administration of synergistic agents voriconazole and terbinafine, in conjunction with surgical debridement, successfully eliminated pheohyphomycosis and fusariomycosis in the bottlenose dolphin. Wound healing was achieved using systematic antifungals and daily debridement with PHMB and betaine. This is the first report of successful treatment of pheohyphomycosis and fusariomycosis in a bottlenose dolphin using voriconazole and terbinafine combination therapy and surgical resection.
Tyre Wear Measurements Using the Marker SBR in a Technical Retrofit Sustainable Drainage System (SuDS)
Authors: Neupert Johannes Wolfgang , Stein Julia , Venghaus Daniel , Barjenbruch Matthias
Published: January 2025

Technical retrofit Sustainable Drainage Systems (SuDSs) are a suitable option in the numerous mitigation measures to reduce the amount of tyre wear entering the environment. In the study presented here, such a filter system was tested under extreme conditions at the ADAC Driving Safety Centre Berlin-Brandenburg. Despite a technical separation limit of 125 or 250 µm of the filter systems, particles > 6 µm were measured in the retained masses. In addition, the marker SBR was used to determine the residues of tyre wear in the filter system using the TED-GC-MS analysis method. The highest concentrations were found in the 20–63 µm fraction. The results indicate that tyre wear particles become smaller due to high forces generated by braking and cornering. Test stand investigations indicate a retention efficiency of the filter system of 2/3 of the tyre wear. Furthermore, the results show that the parameter ‘Total Suspended Solids < 63 µm’ (TSS63) is a relevant evaluation parameter for the road runoff.