bluuebunny/crossref_metadata_2025 huggingface dataset:
Whole-Exome Sequencing Reveals Novel Candidate Driver Mutations and Potential Druggable Mutations in Patients with High-Risk Neuroblastoma
Authors: Nokchan Natakorn , Suthapot Praewa , Choochuen Pongsakorn , Khongcharoen Natthapon , Hongeng Suradej , Anurathapan Usanarat , Surachat Komwit , Sangkhathat Surasak ,   Thai Pediatric Cancer Atlas (TPCA) Consortium
Published: September 2024

Neuroblastoma is the most prevalent solid tumor in early childhood, with a 5-year overall survival rate of 40–60% in high-risk cases. Therefore, the identification of novel biomarkers for the diagnosis, prognosis, and therapy of neuroblastoma is crucial for improving the clinical outcomes of these patients. In this study, we conducted the whole-exome sequencing of 48 freshly frozen tumor samples obtained from the Biobank. Somatic variants were identified and selected using a bioinformatics analysis pipeline. The mutational signatures were determined using the Mutalisk online tool. Cancer driver genes and druggable mutations were predicted using the Cancer Genome Interpreter. The most common mutational signature was single base substitution 5. MUC4, MUC16, and FLG were identified as the most frequently mutated genes. Using the Cancer Genome Interpreter, we identified five recurrent cancer driver mutations spanning MUC16, MUC4, ALK, and CTNND1, with the latter being novel and containing a missense mutation, R439C. We also identified 11 putative actionable mutations including NF1 Q1798*, Q2616*, and S636X, ALK F1174L and R1275Q, SETD2 P10L and Q1829E, BRCA1 R612S, NOTCH1 D1670V, ATR S1372L, and FGFR1 N577K. Our findings provide a comprehensive overview of the novel information relevant to the underlying molecular pathogenesis and therapeutic targets of neuroblastoma.
Peritumoral Adipose Tissue Features Derived from [18F]fluoro-2-deoxy-2-d-glucose Positron Emission Tomography/Computed Tomography as Predictors for Response to Neoadjuvant Chemotherapy in Breast Cancer Patients
Authors: Lee Jeong Won , Won Yong Kyun , Ahn Hyein , Lee Jong Eun , Han Sun Wook , Kim Sung Yong , Jo In Young , Lee Sang Mi
Published: September 2024

This study investigated whether the textural features of peritumoral adipose tissue (AT) on [18F]fluoro-2-deoxy-2-d-glucose (FDG) positron emission tomography/computed tomography (PET/CT) can predict the pathological response to neoadjuvant chemotherapy (NAC) and progression-free survival (PFS) in breast cancer patients. We retrospectively enrolled 147 female breast cancer patients who underwent staging FDG PET/CT and completed NAC and underwent curative surgery. We extracted 10 first-order features, 6 gray-level co-occurrence matrix (GLCM) features, and 3 neighborhood gray-level difference matrix (NGLDM) features of peritumoral AT and evaluated the predictive value of those imaging features for pathological complete response (pCR) and PFS. The results of our study demonstrated that GLCM homogeneity showed the highest predictability for pCR among the peritumoral AT imaging features in the receiver operating characteristic curve analysis. In multivariate logistic regression analysis, the mean standardized uptake value (SUV), 50th percentile SUV, 75th percentile SUV, SUV histogram entropy, GLCM entropy, and GLCM homogeneity of the peritumoral AT were independent predictors for pCR. In multivariate survival analysis, SUV histogram entropy and GLCM correlation of peritumoral AT were independent predictors of PFS. Textural features of peritumoral AT on FDG PET/CT could be potential imaging biomarkers for predicting the response to NAC and disease progression in breast cancer patients.
Early Detection of Mental Health Crises through Artificial-Intelligence-Powered Social Media Analysis: A Prospective Observational Study
Authors: Mansoor Masab , Ansari Kashif
Published: September 2024

Background: The early detection of mental health crises is crucial for timely interventions and improved outcomes. This study explores the potential of artificial intelligence (AI) in analyzing social media data to identify early signs of mental health crises. Methods: We developed a multimodal deep learning model integrating natural language processing and temporal analysis techniques. The model was trained on a diverse dataset of 996,452 social media posts in multiple languages (English, Spanish, Mandarin, and Arabic) collected from Twitter, Reddit, and Facebook over 12 months. Its performance was evaluated using standard metrics and validated against expert psychiatric assessments. Results: The AI model demonstrated a high level of accuracy (89.3%) in detecting early signs of mental health crises, with an average lead time of 7.2 days before human expert identification. Performance was consistent across languages (F1 scores: 0.827–0.872) and platforms (F1 scores: 0.839–0.863). Key digital markers included linguistic patterns, behavioral changes, and temporal trends. The model showed varying levels of accuracy for different crisis types: depressive episodes (91.2%), manic episodes (88.7%), suicidal ideation (93.5%), and anxiety crises (87.3%). Conclusions: AI-powered analysis of social media data shows promise for the early detection of mental health crises across diverse linguistic and cultural contexts. However, ethical challenges, including privacy concerns, potential stigmatization, and cultural biases, need careful consideration. Future research should focus on longitudinal outcome studies, ethical integration of the method with existing mental health services, and developing personalized, culturally sensitive models.
Digital Financial Capability Scale
Authors: Vieira Kelmara Mendes , Matheis Taiane Keila , Lehnhart Eliete dos Reis
Published: September 2024

Financial digitization is an irreversible phenomenon. The objective of this study is to construct the Digital Financial Capability Scale (DFCS). Starting with the development of a definition, we created a multidimensional scale composed of digital financial knowledge, digital financial behavior, and digital financial confidence. The validation process involved a qualitative stage, consisting of focus groups, expert validation, and pre-testing, and a quantitative stage, with exploratory and confirmatory factor analyses and structural equation modeling. The DFCS assesses an individual’s perception of their ability to apply financial knowledge, adopt appropriate financial behaviors, and feel confident in making financial decisions in a digital environment. The final version of the DFCS consists of a set of 33 items divided into the three dimensions. The scale can be very useful for researchers who wish to study financial capability in the digital environment, for financial agents to evaluate clients, and for assessing the outcomes of public policies aimed at enhancing the financial capability of the population.
The Effect of Twitter Messages and Tone on Stock Return: The Case of Saudi Stock Market “Tadawul”
Authors: Albarrak Mohammed S.
Published: September 2024

This research aims to examine whether corporate Twitter messages and tone have an effect on corporate stock return (RET) for the Saudi Stock Exchange “Tadawul”. The study also investigates whether the association differs across large- and small-sized firms. We used a sample of 11,099 firm-daily observations for non-financial firms that were traded on the Saudi Stock Exchange “Tadawul” across the period 1 April 2020 to 31 December 2020. Using panel ordinary least square (OLS) and two-stage least square (2SLS), we found that corporate Twitter (currently renamed ‘X’) messages is positively and significantly associated with stock return (RET). The findings also suggest that the message tone increases the stock returns. Furthermore, our results show different effects of Twitter messages and tone on stock return across small- and large-sized firms. In addition, our findings show that Twitter tone is positively associated with RET when the firm is large in size. However, when the firm is small, Twitter messages has a stronger effect on RET. Our findings provide policy implications for regulators and investors. Regulators might monitor the information in accurate ways. Also, investors might start to show interest in Twitter channels to follow the firm’s news.
The Integrated Analysis of Territorial Transformations in Inland Areas of Italy: The Link between Natural, Social, and Economic Capitals Using the Ecosystem Service Approach
Authors: Marino Davide , Barone Antonio , Marucci Angelo , Pili Silvia , Palmieri Margherita
Published: September 2024

This paper examines how spatial dynamics have impacted natural capital and the provision of ecosystem services. The units outlined by the National Strategy for Inland Areas (SNAI) have been used as the territorial units for this study. The SNAI is a public policy focused on enhancing the quality of services to citizens (such as transportation, healthcare, and education). It proposes the economic revitalization of inland areas undergoing processes of marginalization. Our focus on inland areas stems from two primary reasons: first, no previous studies in Italy have analyzed the changes in ecosystem services in SNAI areas; and second, SNAI areas are well-suited to providing ecosystem services that are in demand by urban areas. Although this study does not cover all aspects inherent to the topic, it represents a starting point aimed at understanding the links between environmental and socio-economic dynamics and ecosystem service changes. This is essential for both current and future generations. By analyzing the processes of permanence and transformation, modifications in the supply–demand balance have hereby been studied, as well as the economic variations in ecosystem services. The period considered runs from 1990 to 2018. These findings could help governmental institutions in developing sustainable governance models, in line with spatial policies and strategies.
Characterizing Agroecology in North Africa, a Review of 88 Sustainable Agriculture Projects
Authors: Requier-Desjardins Mélanie , Boughamoura Olfa , Lemaître-Curri Elen
Published: September 2024

Agroecology refers to the greening of agrosystems with the mobilization of ecosystem services in order to limit exogenous inputs, enhance biodiversity and moderate the exploitation of natural resources. Agroecological practices offer pathways for transformation and transition not only of agricultural systems but of entire food systems. Through its objectives, agroecology aims at both sustainable land management and the strengthening of the livelihoods of producers and rural people and thus contributes to the fight against desertification. Currently, there is little scientific literature on the characteristics of agroecology in the Maghreb region. Several studies provide important information but they do not allow drawing up a global panorama of agroecology in the region. The proposed article highlights general characteristics of agroecology in North Africa from a review of 88 sustainable agriculture projects, which it analyzes, through an inventory of agroecological practices supported by these projects, from the frameworks of the High-Level Panel of Experts on Food Security and Nutrition, 2019, on the principles of agroecology and the transition levels approach developed by Gliessman and fellows since 2007. The results show (i) differences in the observed practices depending on the agrosystems and (ii) predominant common practices across these diverse agrosystems; (iii) significant evolution in these practices over time. The majority of the agroecological innovations identified are at the plot and farm scales, with the exception of those found in oasis and mountain agrosystems, where practices integrate the scales of the territory and value chains in a more complete way.
Windthrow Impact on Alpine Forest Humipedon: Soil Microarthropod Communities and Humus Dynamics Five Years after an Extreme Windstorm Event
Authors: Visentin Francesca , Remelli Sara , Zanella Augusto , Menta Cristina
Published: September 2024

The ecological impact of windthrow disturbance on humipedons and soil microarthropod communities is examined in two areas of the Italian Alps (Val di Fassa and Cansiglio) five years after the Vaia Storm. The following soil coverage conditions were identified: herbaceous vegetation (G), decaying wood (W), no vegetation (B) in windthrow areas; and these were compared with conditions in adjacent undisturbed intact forests (IF) and, only in Val di Fassa, with permanent meadows (M). Soil pH, soil organic matter content (SOM), humus systems and microarthropod communities were analyzed. In Val di Fassa, SOM loss was observed in windthrow areas vs. IF, moving toward a Mull humus system, while G evolved toward M-like conditions, W maintained a thicker O horizon and lower pH and B exhibited severe soil erosion and the lowest SOM. In Cansiglio, windthrow areas showed a slower transition to a Mull system, with a trend toward increasing pH and decreasing SOM. A clear relationship between microarthropod communities and humus systems could not be established because the consistency and biological origins of the humus diagnostic horizons were not considered. Microarthropod communities under different conditions exhibited significant dissimilarity, with varying responses across groups; Shannon and QBS-ar indices remained stable except for a significant decrease in B. Community dissimilarity thus appears to be enhanced by post-windthrow disturbance, suggesting that destructive windstorms may also present an opportunity for enriched microarthropod diversity.
The Role of Procedural Fairness: Land Titling Programs and Agricultural Investment in China
Authors: Cui Yilin , Li Cong , Jiang Yan
Published: September 2024

This study examines the moderating role of procedural fairness between land titling programs and agricultural investment. We constructed a theoretical model that introduces perceived security of land tenure and procedural fairness into the traditional “property rights-investment incentives” analytical framework. Moreover, we empirically analyze the impact of land titling and its procedural fairness on agricultural investment using data from the “Thousands of People, Hundreds of Villages” survey held in 2018 among 9596 households in China. The empirical analyses were conducted by using the ordinary least squares (OLS), probit, and instrumental variable methods. Our analysis showed that land titling in China significantly promotes agricultural investment by farm households and that procedural fairness has a significant positive moderating role in the investment incentive effect of land titling as well as significantly improving the institutional credibility of land titling and enhancing farmers’ perceived land tenure security.
Low-Grade Glioma Clinical Trials in the United States: A Systematic Review
Authors: Xu Emily , Patterson Jonathan , Angione Angelo , Li Alexander , Wu David W. , Akca Ebrar , Elghawy Omar , Barsouk Alexander , Sussman Jonathan H.
Published: September 2024

Low-grade glioma (LGG) is a malignancy of the central nervous system that is often treatable with surgical resection and chemoradiation. However, despite an initial positive response to standard therapy, most LGG eventually progress to high-grade gliomas which are nearly uniformly fatal. There is a pressing need for more clinical trials and greater clinical trial accessibility to improve the standard of care of LGG to delay or prevent its progression. In this study, we systematically examined the scope and inclusion of clinical trials for LGG based in the United States. This cross-sectional study analyzes trends in trial design and reported demographic data from completed LGG trials registered on ClinicalTrials.gov between 2010 to 2023. Inclusion criteria, investigational therapies, primary outcomes, and preliminary results were compared and summarized. A total of 14 trials with 1067 participants were included in the study. Most of the trials were not exclusive to LGGs and 14% had mutation-specific inclusion criteria. To date, two of the trials have led to new FDA-approved treatments. All trials reported age and sex, while only 57% reported race and 43% reported ethnicity. Individuals identifying as Black or African American and Asian or Pacific Islander were statistically underrepresented. Lastly, we investigated the geographic distributions of trial sites across the United States, which demonstrated several coverage gaps in the Rocky Mountain and Southeast regions. These findings suggest specific areas for improvement in LGG clinical trial reporting and accessibility.
Alcohol Consumption and Cardiovascular Disease: A Narrative Review of Evolving Perspectives and Long-Term Implications
Authors: Georgescu Ovidiu Stefan , Martin Liviu , Târtea Georgică Costinel , Rotaru-Zavaleanu Alexandra-Daniela , Dinescu Sorin Nicolae , Vasile Ramona Constantina , Gresita Andrei , Gheorman Veronica , Aldea Madalina , Dinescu Venera Cristina
Published: September 2024

Cardiovascular illnesses remain the primary cause of death, accounting for at least 17.9 million fatalities per year and posing a significant public health problem because of its extensive predominance and effect on healthcare systems. The etiology of cardiovascular disease is complex and involves several environmental and lifestyle factors. Alcohol use is a highly important determinant because of its dual-edged effect on cardiovascular health. Multiple studies indicate that moderate alcohol consumption may have certain advantages, such as slight enhancements in lipid profiles. Conversely, excessive alcohol intake is associated with serious negative consequences, including cardiomyopathy, hypertension, arrhythmias, and even mortality. The aim of this study is to provide a comprehensive analysis of the several effects of alcohol on cardiovascular health and their understanding within the medical field over time. It uses an interpretative narrative review methodology and analyzes studies that focus on genetic risk factors, gender differences, and shifts in paradigms in recent years. This article highlights the need for obtaining a thorough understanding of the effects of alcohol on cardiovascular health to support public health guidelines and clinical practice, and it underscores the significance of including alcohol consumption into the broader context of cardiovascular risk management and identifies important subjects for further study.
Community-Based Exercise Programs Post Spinal Cord Injury Hospitalization: A Pilot Study for a Randomized, Multicenter, Double-Blind Controlled Setting
Authors: Kang Dongheon , Park Jiyoung
Published: September 2024

This study explores the effectiveness of community-based exercise programs for individuals with spinal cord injury (SCI) following hospital discharge. Given the rising incidence of SCI, particularly in South Korea, and the associated long-term disabilities, the necessity for comprehensive post-discharge rehabilitation is paramount. The study focuses on a pilot randomized multicenter double-blind controlled trial, targeting SCI patients who have completed inpatient rehabilitation and are living in the community. The primary aim is to evaluate the impact of structured exercise programs on physical fitness, functional capacity, and overall recovery. The research introduces the SpinalFit program, a community-based intervention designed to enhance muscle strength, cardiopulmonary endurance, and mobility through a combination of aerobic and resistance training. This program addresses the critical need for safe and effective rehabilitation options outside the hospital setting, utilizing circuit training with resistance bands and body-weight exercises tailored to each participant’s capacity. The study also investigates barriers to physical activity in the community for SCI patients and the potential role of community exercise centers in bridging this gap. Preliminary findings from this pilot trial are expected to provide valuable insights into optimizing exercise regimens for SCI patients, informing future large-scale studies and contributing to improved post-discharge rehabilitation strategies.
The Effects of Lilium lancifolium Thunb. on the Alleviation of Joint Pain: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial
Authors: Jeon Soomin , Lee Hayera , Lee Jae-Ho , Lee Kippeum , Hong Dongki , Park Soo-Dong , Shim Jae-Jung , Lee Jung-Lyoul , Lee Jaehwan , Joo Jong-Cheon
Published: September 2024

Arthritis is mainly a geriatric disease that causes joint pain and lowers the quality of life. This clinical trial was performed to evaluate the efficacy of Lilium lancifolium Thunb. (HY-LL) in alleviating joint pain. Six candidate anti-inflammatory components including regaloside A were identified in HY-LL using HPLC analysis. All participants were assigned to the HY-LL or the placebo group and took tablets twice a day for 12 weeks. As a result, pain VAS and K-WOMAC total scores significantly decreased after 12 weeks compared to the baseline in the HY-LL group, with a statistically significant difference between the two groups (p = 0.043, 0.043). The K-WOMAC sub-scores for pain and function showed a statistically significant improvement in the HY-LL group compared to the placebo group (p = 0.023, 0.047). Furthermore, the participants’ overall quality of life improved after 12 weeks of HY-LL consumption (p = 0.024). However, no significant differences were observed in the blood biomarkers. Therefore, this study demonstrated the positive effect of 12 weeks of HY-LL consumption on joint pain and quality of life.
Transplant Immunology in Liver Transplant, Rejection, and Tolerance
Authors: Yokoyama Masaya , Imai Daisuke , Wolfe Samuel , George Ligee , Sambommatsu Yuzuru , Khan Aamir A. , Lee Seung Duk , Saeed Muhammad I. , Sharma Amit , Kumaran Vinay , Cotterell Adrian H. , Levy Marlon F. , Bruno David A.
Published: September 2024

Liver transplantation is the most effective treatment for end-stage liver disease. Despite improvements in surgical techniques, transplant rejection remains a significant concern. The liver is considered an immune-privileged organ due to its unique microenvironment and complex interactions among various cell types. Alloimmune responses mediated by T cells and antigen-presenting cells (APCs) play crucial roles in transplant rejection. The liver’s dual blood supply and unique composition of its sinusoidal endothelial cells (LSECs), Kupffer cells (KCs), hepatocytes, and hepatic stellate cells (HSCs) contribute to its immune privilege. Alloantigen recognition by T cells occurs through direct, indirect, and semidirect pathways, leading to acute cellular rejection (ACR) and chronic rejection. ACR is a T cell-mediated process that typically occurs within the first few weeks to months after transplantation. Chronic rejection, on the other hand, is a gradual process characterized by progressive fibrosis and graft dysfunction, often leading to graft loss. Acute antibody-mediated rejection (AMR) is less common following surgery compared to other solid organ transplants due to the liver’s unique anatomy and immune privilege. However, when it does occur, AMR can be aggressive and lead to rapid graft dysfunction. Despite improvements in immunosuppression, rejection remains a challenge, particularly chronic rejection. Understanding the mechanisms of rejection and immune tolerance, including the roles of regulatory T cells (Tregs) and hepatic dendritic cells (DCs), is crucial for improving transplant outcomes. Strategies to induce immune tolerance, such as modulating DC function or promoting Treg activity, hold promise for reducing rejection and improving long-term graft survival. This review focuses on the liver’s unique predisposition to rejection and tolerance, highlighting the roles of individual cell types in these processes. Continued research into the mechanisms of alloimmune responses and immune tolerance in liver transplantation is essential for developing more effective therapies and improving long-term outcomes for patients with end-stage liver disease.
Numerical Simulation and Microstructure Analysis of 30CrMnMoRe High-Strength Steel Welding
Authors: Fang Jimi , Qian Xusheng , Ci Yanke , Li Cong , Zhang Xiaoyong , Wang Kehong
Published: September 2024

Welding experiments were conducted under different currents for single-pass butt welding of high-strength steel flat plates. The microstructure of welded joints was characterized using OM, SEM, and EBSD, and the welding process was numerically simulated using a finite element method. According to the grain size obtained by electron microscope characterization and the temperature data obtained by simulation, the microstructure and mechanical properties of coarse grain and fine grain areas of the heat-affected zone were predicted by using the material microstructure and property simulation software. Finally, the results of mechanical properties simulation were verified through mechanical property testing.
Three-Dimensional Double-Layer Multi-Stage Thermal Management Fabric for Solar Desalination
Authors: Feng Xiao , Ge Can , Du Heng , Yang Xing , Fang Jian
Published: September 2024

Water scarcity is a serious threat to the survival and development of mankind. Interfacial solar steam generation (ISSG) can alleviate the global freshwater shortage by converting sustainable solar power into thermal energy for desalination. ISSG possesses many advantages such as high photothermal efficiency, robust durability, and environmental friendliness. However, conventional evaporators suffered from huge heat losses in the evaporation process due to the lack of efficient thermal management. Herein, hydrophilic Tencel yarn is applied to fabricate a three-dimensional double-layer fabric evaporator (DLE) with efficient multi-stage thermal management. DLE enables multiple solar absorptions, promotes cold evaporation, and optimizes thermal management. The airflow was utilized after structure engineering for enhanced energy evaporation efficiency. The evaporation rate can reach 2.86 kg·m−2·h−1 under 1 sun (1 kW·m−2), and 6.26 kg·m−2·h−1 at a wind speed of 3 m·s−1. After a long duration of outdoor operation, the average daily evaporation rate remains stable at over 8.9 kg·m−2, and the removal rate of metal ions in seawater reaches 99%. Overall, DLE with efficient and durable three-dimensional multi-stage thermal management exhibits excellent practicality for solar desalination.
Bonding Behavior and Quality of Pressureless Ag Sintering on (111)-Oriented Nanotwinned Cu Substrate in Ambient Air
Authors: Huang Xingming , He Wei , Liang Jialong , Yang Hao-Kun , Zhou Chunliang , Liu Zhi-Quan
Published: September 2024

(111)-oriented nanotwinned Cu ((111)nt-Cu) has shown its high surface diffusion rate and better oxidation resistance over common polycrystalline Cu (C-Cu). The application of (111)nt-Cu as an interface metallization layer in Ag-sintered technology under the role of oxygen was investigated in this work, and its connecting behavior was further clarified by comparing it with C-Cu. As the sintering temperature decreasing from 300 to 200 °C, the shear strength on the (111)nt-Cu substrate was still greater than 55 MPa after sintering for 10 min. The fracture surface correspondingly changed from the interface of Ag/die to mixed fracture mode, involving the interface of the Ag/Cu substrate and Ag/die. The existence of copper oxide provided a tight connection between Ag and the (111)nt-Cu substrate at all of the studied temperatures. Although lots of small dispersed voids were seen at the interface between copper oxide and (111)nt-Cu at 300 °C, these impurity-induced voids would not necessarily be a failure position and could be improved by adjusting the sintering temperature and time; for example, 200 °C/10 min or heating to 300 °C, and then start cooling at the same time. The microstructure of Ag-Cu joint on (111)nt-Cu behaved better than that on C-Cu. The thinner copper oxide layer and the higher connection ratio of the interface between copper oxide and Ag were still found on the (111)nt-Cu connection’s structure. The poor connection between copper oxide and Ag on C-Cu easily became the failure interface. By controlling the thickness of copper oxide and the content of impurity-induced voids, the use of (111)nt-Cu in advanced-packaging could be improved to a new level.
An Investigation into Mechanical Properties of 3D Printed Thermoplastic-Thermoset Mixed-Matrix Composites: Synergistic Effects of Thermoplastic Skeletal Lattice Geometries and Thermoset Properties
Authors: Khanjar Saleh , Barui Srimanta , Kate Kunal , Ajjarapu Kameswara Pavan Kumar
Published: September 2024

This study aims to develop thermoplastic (TP) and thermoset (TS) based mixed matrix composite using design dependent physical compatibility. Using thermoplastic-based (PLA) skeletal lattices with diverse patterns (gyroid and grid) and different infill densities (10% and 20%) followed by infiltration of two different thermoset resin systems (epoxy and polyurethane-based) using a customized FDM 3D printer equipped with a resin dispensing unit, the optimised design and TP-TS material combination was established for best mechanical performance. Under uniaxial tensile stress, the failure modes of TP gyroid structures with polyurethane-based composites included ‘fiber pull-out’, interfacial debonding and fiber breakage, while epoxy based mixed matrix composites with all design variants demonstrated brittle failure. Higher elongation (higher area under curve) was observed in 20% infilled gyroid patterned composite with polyurethane matrix indicating the capability of operation in mechanical shock absorption application. Electron microscopy-based fractography analysis revealed that thermoset matrix properties governed the fracture modes for the thermoplastic phase. This work focused on the strategic optimisation of both toughness and stiffness of mixed matrix composite components for rapid fabrication of construction materials.
Water Dynamics in Fish Collagen Gels—Insight from NMR Relaxometry
Authors: Osuch Maciej , Nowosad Joanna , Kucharczyk Dariusz , Łuczyński Michał K. , Mieloch Adrianna , Godlewski Janusz , Kruk Danuta
Published: September 2024

1H spin–lattice relaxation experiments have been performed for gels based on fish collagen in order to analyze water dynamics. The covered frequency range ranges from 10 kHz to 10 MHz; in some cases, the temperature has varied as well. The relaxation data have been reproduced in terms of two models of water motion—a model including two relaxation contributions associated with the diffusion of water molecules on the macromolecular surfaces and a second model being just a phenomenological power law. The concept of surface diffusion has led to a very good agreement with the experimental data and a consistent set of parameters, with the diffusion coefficients being about five orders of magnitude slower compared to bulk water for one of the pools and considerably faster for the second one (smaller by factors between 2 and 20 compared to bulk water). In some cases, the attempt to reproduce the data in terms of a power law has led to a good agreement with the experimental data (the power law factor varying between 0.41 and 0.57); however, in other cases, the discrepancies are significant. This outcome favors the concept of surface diffusion.
Artificial-Intelligence-Based Condition Monitoring of Industrial Collaborative Robots: Detecting Anomalies and Adapting to Trajectory Changes
Authors: Ayankoso Samuel , Gu Fengshou , Louadah Hassna , Fahham Hamidreza , Ball Andrew
Published: September 2024

The increasing use of collaborative robots in smart manufacturing, owing to their flexibility and safety benefits, underscores a critical need for robust predictive maintenance strategies to prevent unexpected faults/failures of the machine. This paper focuses on fault detection and employs multivariate operational data from a universal robot to detect anomalies or early-stage faults using test data from designed anomalous conditions and artificial-intelligence-based anomaly detection techniques called autoencoders. The performance of three autoencoders, namely, a multi-layer-perceptron-based autoencoder, convolutional-neural-network-based autoencoder, and sparse autoencoder, was compared in detecting anomalies. The results indicate that the autoencoders effectively detected anomalies in the examined complex and noisy datasets with more than 93% overall accuracy and an F1 score exceeding 96% for the considered anomalous cases. Moreover, the integration of trajectory change detection and anomaly detection algorithms (i.e., the dynamic time warping algorithm and sparse autoencoder, respectively) was proposed for the local implementation of online condition monitoring. This integrated approach to anomaly detection and trajectory change provides a practical, adaptive, and economical solution for enhancing the reliability and safety of collaborative robots in smart manufacturing environments.
A Closed-Form Inverse Kinematic Analytical Method for Seven-DOF Space Manipulator with Aspheric Wrist Structure
Authors: Zhao Guojun , Tao Bo , Jiang Du , Yun Juntong , Fan Hanwen
Published: September 2024

The seven-degree-of-freedom space manipulator, characterized by its redundant and aspheric wrist structure, is extensively used in space missions due to its exceptional dexterity and multi-joint capabilities. However, the non-spherical wrist structure presents challenges in solving inverse kinematics, as it cannot decouple joints using the Pieper criterion, unlike spherical wrist structures. To address this issue, this paper presents a closed-form analytical method for solving the inverse kinematics of seven-degree-of-freedom aspheric wrist space manipulators. The method begins by identifying the redundant joint through comparing the volumes of the workspace with different joints fixed. The redundant joint angle is then treated as a parametric joint angle, enabling the derivation of closed-form expressions for the non-parametric joint angles using screw theory. The optimal solution branch is identified through a comparative analysis of various self-motion manifold branches. Additionally, a hybrid approach, combining analytical and numerical methods, is proposed to optimize the parametric joint angle for a trajectory tracking task. Simulation results confirm the effectiveness of the proposed method.
The Discovery of Truncated M-Fractional Exact Solitons and a Qualitative Analysis of the Generalized Bretherton Model
Authors: Qawaqneh Haitham , Hakami Khalil Hadi , Altalbe Ali , Bayram Mustafa
Published: September 2024

This paper is concerned with the novel exact solitons for the truncated M-fractional (1+1)-dimensional nonlinear generalized Bretherton model with arbitrary constants. This model is used to explain the resonant nonlinear interaction between the waves in different phenomena, including fluid dynamics, plasma physics, ocean waves, and many others. A series of exact solitons, including bright, dark, periodic, singular, singular–bright, singular–dark, and other solitons are obtained by applying the extended sinh-Gordon equation expansion (EShGEE) and the modified (G′/G2)-expansion techniques. A novel definition of fractional derivative provides solutions that are distinct from previous solutions. Mathematica software was used to obtain and verify the solutions. The solutions are shown through 2D, 3D, and density plots. A stability process was conducted to verify that the solutions are exact and accurate. Modulation instability was used to determine the steady-state results for the corresponding equation.
An Improved YOLOv5 Model for Concrete Bubble Detection Based on Area K-Means and ECANet
Authors: Tian Wei , Li Bazhou , Cao Jingjing , Di Feichao , Li Yang , Liu Jun
Published: September 2024

The appearance quality of fair-faced concrete plays a crucial role in evaluating the engineering quality, as the abundance of small-area bubbles generated during construction diminishes the surface quality of concrete. However, existing methods are plagued by sluggish detection speed and inadequate accuracy. Therefore, this paper proposes an improved method based on YOLOv5 to rapidly and accurately detect small bubble defects on the surface of fair-faced concrete. Firstly, to address the issue of YOLOv5 in generating prior boxes for imbalanced samples, we divide the image preprocessing part into small-, medium-, and large-area intervals corresponding to the number of heads. Additionally, we propose an area-based k-means clustering approach specifically tailored for the anchor boxes within each of these intervals. Moreover, we adjust the number of prior boxes generated by k-means clustering according to the training loss function to adapt to bubbles of different sizes. Then, we introduce the ECA (Efficient Channel Attention) mechanism into the neck part of the model to effectively capture inter-channel interactions and enhance feature representation. Subsequently, we incorporate feature concatenation in the neck part to facilitate the fusion of low-level and high-level features, thereby improving the accuracy and generalization ability of the network. Finally, we construct our own dataset containing 980 images of two classes: cement and bubbles. Comparative experiments are conducted on our dataset using YOLOv5s, YOLOv6s, YOLOxs, and our method. Experimental results demonstrate that the proposed method achieves the highest detection accuracy in terms of mAP0.5, mAP0.75, and mAP0.5:0.95. Compared to YOLOv5s, our method achieves a 7.1% improvement in mAP0.5, a 3.7% improvement in mAP0.75, and a 4.5% improvement in mAP0.5:0.95.
Research on the Detection of Steel Plate Defects Based on SimAM and Twin-NMF Transfer
Authors: Zou Yongqiang , Zhang Guanghui , Fan Yugang
Published: September 2024

Pulsed eddy current thermography can detect surface or subsurface defects in steel, but in the process of combining deep learning, it is expensive and inefficient to build a complete sample of defects due to the complexity of the actual industrial environment. Consequently, this study proposes a transfer learning method based on Twin-NMF and combines it with the SimAM attention mechanism to enhance the detection accuracy of the target domain task. First, to address the domain differences between the target domain task and the source domain samples, this study introduces a Twin-NMF transfer method. This approach reconstructs the feature space of both the source and target domains using twin non-negative matrix factorization and employs cosine similarity to measure the correlation between the features of these two domains. Secondly, this study integrates a parameter-free SimAM into the neck of the YOLOv8 model to enhance its capabilities in extracting and classifying steel surface defects, as well as to alleviate the precision collapse phenomenon associated with multi-scale defect recognition. The experimental results show that the proposed Twin-NMF model with SimAM improves the detection accuracy of steel surface defects. Taking NEU-DET and GC10-DET as source domains, respectively, in the ECTI dataset, mAP@0.5 reaches 99.3% and 99.2%, and the detection accuracy reaches 98% and 98.5%.
Altechromone A Ameliorates Inflammatory Bowel Disease by Inhibiting NF-κB and NLRP3 Pathways
Authors: Li Lei , Huang Jing , Feng Lixin , Xu Liyan , Lin Houwen , Liu Kechun , Li Xiaobin , Wang Rongchun
Published: September 2024

Altechromone A, also known as 2,5-dimethyl-7-hydroxychromone, is a hydroxyketone containing one hydroxyl and one ketone group. In this study, we isolated Altechromone A from the marine-derived fungus Penicillium Chrysogenum (XY-14-0-4). Previous reports show that Altechromone A has various activities including tumor suppression, antibacterial, and antiviral activities. However, there is no study about its anti-inflammatory activity in inflammatory bowel disease (IBD). Here, we assess the anti-inflammatory activity, especially in IBD, and its potential mechanism using the zebrafish model. Our results indicated that Altechromone A has anti-inflammatory activity in a CuSO4-, tail-cutting-, and LPS-induced inflammatory model in zebrafish, respectively. In addition, Altechromone A greatly reduced the number of neutrophils, improved intestinal motility and efflux efficiency, alleviated intestinal damage, and reduced reactive oxygen species production in the TNBS-induced IBD zebrafish model. The transcriptomics sequencing and real-time qPCR indicated that Altechromone A inhibited the expression of pro-inflammatory genes including TNF-α, NF-κB, IL-1, IL-1β, IL-6, and NLRP3. Therefore, these data indicate that Altechromone A exhibits therapeutic effects in IBD by inhibiting the inflammatory response.
Rare Complication of Cardiopulmonary Resuscitation—Liver Injury
Authors: Hoskovec David , Klobušický Pavol , Pudlač Adam , Lochman Matyáš , Krška Zdeněk , Dytrych Petr
Published: September 2024

Background and Objectives: Liver injury is a rare complication of cardiopulmonary resuscitation. Correct and early diagnosis and treatment are essential. The clinical signs of injury may be masked by the cardiac arrest. We present a single-centre retrospective observational study of traumatic liver injury after cardiopulmonary resuscitation. Materials and Methods: A retrospective analysis of the patients treated for liver injury after cardiopulmonary resuscitation was conducted. Demographic data, the cause of resuscitation, the duration of restoration of spontaneous circulation (ROSC), and the surgical approach were analysed. Results: We have treated nine patients with severe liver injury after cardiopulmonary resuscitation. The diagnosis was made on the basis of cardiopulmonary instability, a fall in the erythrocyte count in eight cases, and was confirmed by CT or ultrasound examination. The last one was diagnosed accidentally on MR. Surgery, in cases of unstable patients, was followed immediately after a diagnosis. We combined liver sutures and intra-abdominal packing with a planned second-look surgery. Five of the nine patients survived. Conclusions: Liver injury after cardiopulmonary resuscitation is rare and is associated with high mortality. The recurrence of cardiopulmonary instability and/or a low or falling red blood cell count are the main signs of this injury. Bedside ultrasound and CT scans are the most important methods to confirm the diagnosis. The rule of surgical repair is the same as in all liver injuries, regardless of aetiology. The key factors for survival include early diagnosis, together with the length of restoration of spontaneous circulation (ROSC).
Comparison on Hysteresis Loops and Dislocation Configurations in Fatigued Face-Centered Cubic Single Crystals
Authors: Xing Zhibin , Kong Lingwei , Pang Lei , Liu Xu , Ma Kunyang , Wu Wenbo , Li Peng
Published: September 2024

The aggregation and evolution of dislocations form different configurations, which are the preferred locations for fatigue crack initiation. To analyze the spatial distribution of the same dislocation configuration and the resulting configuration morphologies on different observation planes, several typical hysteresis loops and dislocation configurations in fatigued face-centered cubic single crystals with various orientations were compared. The crystal orientations of these specimens were determined by the electron back-scattering diffraction technique in a Cambridge S360 Scanning Electron Microscope. It is well known that dislocation ladder and wall structures, as well as patch and vein structures, are distributed on their respective observation planes, (12¯1) and (111). These correspond to the point defect direction and line defect direction of dislocations, respectively. Therefore, the wall structures on the (12¯1) and (111) planes consist of point defects and line defects, which can be defined as point walls and line walls, respectively. Furthermore, the walls on the (12¯1) plane consist of Persistent Slip Band ladders connected with each other, corresponding to the formation of deformation bands. The evolution of dislocation patterns follows a process from patch to ladder and from vein to wall. The formation of labyrinths and dislocation cells originates from the activation of different secondary slip systems. In one word, it can help us better understand the physical nature of metal fatigue and failure by studying the distribution and evolution of different configurations.
Shape Anisotropy of Grains Formed by Laser Melting of (CoCuFeZr)17Sm2
Authors: Trauter Felix , Loeffler Ralf , Schneider Gerhard , Goll Dagmar
Published: September 2024

For permanent magnetic materials, anisotropic microstructures are crucial for maximizing remanence Jr and maximum energy product (BH)max. This also applies to additive manufacturing processes such as laser powder bed fusion (PBF-LB). In PBF-LB processing, the solidification behavior is determined by the crystal structure of the material, the substrate, and the melt-pool morphology, resulting from the laser power PL and scanning speed vs. To study the impact of these parameters on the textured growth of grains in the melt-pool, experiments were conducted using single laser tracks on (CoCuFeZr)17Sm2 sintered magnets. A method was developed to quantify this grain shape anisotropy from electron backscatter diffraction (EBSD) analysis. For all grains in the melt-pool, the grain shape aspect ratio (GSAR) is calculated to distinguish columnar (GSAR < 0.5) and equiaxed (GSAR > 0.5) grains. For columnar grains, the grain shape orientation (GSO) is determined. The GSO represents the preferred growth direction of each grain. This method can also be used to reconstruct the temperature gradients present during solidification in the melt-pool. A dependence of the melt-pool aspect ratio (depth/width) on energy input was observed, where increasing energy input (increasing PL, decreasing vs) led to higher aspect ratios. For aspect ratios around 0.3, an optimum for directional columnar growth (93% area fraction) with predominantly vertical growth direction (mean angular deviation of 23.1° from vertical) was observed. The resulting crystallographic orientation is beyond the scope of this publication and will be investigated in future work.
Thioredoxin-Interacting Protein’s Role in NLRP3 Activation and Osteoarthritis Pathogenesis by Pyroptosis Pathway: In Vivo Study
Authors: Altahla Ruba , Tao Xu
Published: September 2024

Thioredoxin-interacting protein (TXNIP) has been involved in oxidative stress and activation of the NOD-like receptor protein-3 (NLRP3) inflammasome, directly linking it to the pyroptosis pathway. Furthermore, pyroptosis may contribute to the inflammatory process in osteoarthritis (OA). The purpose of this study was to investigate the role of TXNIP in activating the NLRP3 inflammasome through the pyroptosis pathway in an OA rat model. Destabilization of the medial meniscus (DMM) was induced in the OA model with intra-articular injections of adeno-associated virus (AAV) overexpressing (OE) or knocking down (KD) TXNIP. A total of 48 healthy rats were randomly divided into six groups (N = 8 each). During the experiment, the rats’ weights, mechanical pain thresholds, and thermal pain thresholds were measured weekly. Morphology staining, micro-CT, 3D imaging, and immunofluorescence (IF) staining were used to measure the expression level of TXNIP, and ELISA techniques were employed. OE-TXNIP-AAV in DMM rats aggravated cartilage destruction and subchondral bone loss, whereas KD-TXNIP slowed the progression of OA. The histological results showed that DMM modeling and OE-TXNIP-AAV intra-articular injection caused joint structure destruction, decreased anabolic protein expression, and increased catabolic protein expression and pyroptosis markers. Conversely, KD-TXNIP-AAV slowed joint degeneration. OE-TXNIP-AVV worsened OA by accelerating joint degeneration and damage, while KD-TXNIP-AAV treatment had a protective effect.