bluuebunny/crossref_metadata_2025 huggingface dataset:
The Histopathological Examination of the Degeneration of Menisci in Osteoarthritic Knees Using an Adapted Bonar Score: Does Osteoarthritis Equally Influence the Lateral and Medial Menisci?
Authors: Zabrzyńska Maria , Gagat Maciej , Antosik Paulina , Woźniak Łukasz , Kułakowski Michał , Elster Karol , Zabrzyński Jan
Published: October 2024

This study aimed to investigate the degeneration of the meniscal tissue in osteoarthritic knees and to adapt the Bonar score and its modifications to develop a microscopic examination. This study included consecutive patients who underwent total knee arthroplasty for symptomatic end-stage gonarthrosis. During the surgery, the menisci were completely dissected to preserve their original shapes. The samples were prepared using the hematoxylin and eosin (H&E) staining method and the Alcian blue protocol and were examined under light microscopy. The extent of histopathological changes was assessed based on the classical Bonar score assumptions. Additionally, in the second step of the examination, menisci remnants were evaluated using the modified Bonar score developed by Zabrzyński et al. The study involved 44 patients, from whom 83 samples of knee menisci were obtained. Histological examination of the meniscal specimens under a light microscope revealed tissue degeneration in all cases, in both the medial and lateral menisci. The mean classical Bonar score was 8.3571 and the mean modified Bonar score was 6.9398. There were no statistically significant differences in classical Bonar score assessment between medial and lateral menisci (p = 0.3014). There were no statistically significant differences in the modified-Bonar score assessment between medial and lateral menisci (p = 0.3620). We show that both menisci are implicated in the degenerative process, with high scores in the Bonar system, regardless of knee axial deformity. The Bonar score, along with its modifications, can be readily employed in the microscopic assessment of meniscus pathology.
Spaceborne SAR System Design Considerations: Minimizing Satellite Size and Mass, System Parameter Trade-Offs, and Optimization
Authors: Makas Ersin , Aslan Alim Rüstem
Published: October 2024

The goal of this research is to assess and guide the development of next-generation synthetic aperture radar (SAR) satellites, optimize their performance, and present the requirements related to the design parameters. In the current era, characterized by the rapid advancement of SAR technologies, the challenge of designing compact and efficient satellites is more relevant than ever. The present research provides a comprehensive analysis of design parameters for microsatellite applications, including altitude, incidence angle, operating frequency, antenna sizing, and transmitting power. The complex relationships between these parameters and their combined impact on SAR system performance and satellite dimensions are demonstrated through various scenarios. Special attention is given to balancing the SAR antenna area and the transmitting power needs, which are primary constraints in SAR microsatellite design. A detailed comparative study is presented, highlighting how each design decision affects the overall functionality and performance. Modern SAR satellites with masses under 150 kg can operate with approximately 1 kW of transmitting power and a 10 m2 SAR antenna area. The present results analyze and validate the key parameters related to these satellites, coping with the challenging trade-offs through optimization. Furthermore, this study aims to guide future innovative spaceborne SAR system design, highlighting the potential of optimization techniques in advancing spaceborne SAR technology.
Cell Disruption and Hydrolysis of Microchloropsis salina Biomass as a Feedstock for Fermentation
Authors: Koruyucu Ayşe , Peest Tillmann , Korzin Emil , Gröninger Lukas , Patricia  , Brück Thomas , Weuster-Botz Dirk
Published: October 2024

Microalgae are a promising biomass source because of their capability to fixate CO2 very efficiently. In this study, the potential of Microchloropsis salina biomass as a feedstock for fermentation was explored, focusing on biomass hydrolysis by employing various mechanical and chemical cell disruption strategies in combination with enzymatic hydrolysis. Among the mechanical cell disruption methods investigated on a lab scale, namely ultrasonication, bead milling, and high-pressure homogenization, the most effective was bead milling using stainless-steel beads with a diameter of 2 mm. In this way, 87–97% of the cells were disrupted in 40 min using a mixer mill. High-pressure homogenization was also effective, achieving 86% disruption efficiency after four passes on a 30–200 L scale using biomass with 15% (w/w) solids content. Enzymatic hydrolysis of the disrupted cells using a mixture of cellulases and mannanases yielded up to 25% saccharification efficiency after 72 h. Acidic hydrolysis of undisrupted cells followed by enzymatic treatment yielded around 30% saccharification efficiency but was coupled with significant dilution of the resulting hydrolysate. Microalgal biomass hydrolysate produced was determined to have ~8.1 g L−1 sugars and 2.5% (w/w) total carbon, as well as sufficient nitrogen and phosphorus content as a fermentation medium.
Medical- and Non-Medical-Grade Polycaprolactone Mesh Printing for Prolapse Repair: Establishment of Melt Electrowriting Prototype Parameters
Authors: Vaz Maria F. R. , Martins Joana A. P. , Pinheiro Fábio , Ferreira Nuno M. , Brandão Sofia , Alves Jorge L. , Fernandes António A. , Parente Marco P. L. , Silva Maria E. T.
Published: October 2024

Pelvic organ prolapse (POP) occurs due to inadequate support of female pelvic organs and is often treated with synthetic implants. However, complications like infections, mesh shrinkage, and tissue erosion can arise due to biomechanical incompatibilities with native tissue. This study aimed to optimize the melt electrowriting process using medical-grade biodegradable Poly(ε-caprolactone) (PCL) with a pellet extruder to print meshes that mimic the mechanical properties of vaginal tissue. Square and diagonal mesh designs with filament diameters of 80 µm, 160 µm, and 240 µm were produced and evaluated through mechanical testing, comparing them to a commercial mesh and sheep vaginal tissue. The results showed that when comparing medical-grade with non-medical-grade square meshes, there was a 54% difference in the Secant modulus, with the non-medical-grade meshes falling short of matching the properties of vaginal tissue. The square-shaped medical-grade PCL mesh closely approximated vaginal tissue, showing only a 13.7% higher Secant modulus and a maximum stress of 0.29 MPa, indicating strong performance. Although the diagonal-shaped mesh exhibited a 14% stress difference, its larger Secant modulus discrepancy of 45% rendered it less suitable. In contrast, the commercial mesh was significantly stiffer, measuring 77.5% higher than vaginal tissue. The diagonal-shaped mesh may better match the stress–strain characteristics of vaginal tissue, but the square-shaped mesh offers stronger support due to its higher stress–strain curve. Overall, meshes printed with medical-grade PCL show superior performance compared to non-medical-grade meshes, suggesting that they are a promising avenue for future advancements in the field of POP repair.
Multiscale Characterization of Fractures and Analysis of Key Controlling Factors for Fracture Development in Tight Sandstone Reservoirs of the Yanchang Formation, SW Ordos Basin, China
Authors: Chen Peng , Yang Shuhan , Chen Xinyu , Li Zeyu , Shen Chuanbo , Qiu Huaning
Published: October 2024

Tight sandstone reservoirs, despite their low porosity and permeability, present considerable exploration potential as unconventional hydrocarbon resources. Natural fractures play a crucial role in hydrocarbon migration, accumulation, and present engineering challenges such as late-stage reformation in these reservoirs. This study examines fractures in the seventh member of the Triassic Yanchang Formation’s tight sandstone within the Ordos Basin using a range of methods, including field outcrops, core samples, imaging and conventional logging, thin sections, and scanning electron microscopy. The study clarifies the characteristics of fracture development and evaluates the relationship between dynamic and static rock mechanics parameters, including the calculation of the brittleness index. Primary factors influencing fracture development were quantitatively assessed through a combination of outcrop, core, and mechanical test data. Findings reveal that high-angle structural fractures are predominant, with some bedding and diagenetic fractures also present. Acoustic, spontaneous potential, and caliper logging, in conjunction with imaging data, enabled the development of a comprehensive probabilistic index for fracture identification, which produced favorable results. The analysis identifies four key factors influencing fracture development: stratum thickness, brittleness index, lithology, and rock mechanical stratigraphy. Among these factors, stratum thickness is negatively correlated with fracture development. Conversely, the brittleness index positively correlates with fracture development and significantly influences fracture length, aperture, and linear density. Fractures are most prevalent in siltstone and fine sandstone, with minimal development in mudstone. Different rock mechanics layer types also impact fracture development. These insights into fracture characteristics and controlling factors are anticipated to enhance exploration efforts and contribute to the study of similar unconventional reservoirs.
Real-Time Semantic Segmentation of 3D LiDAR Point Clouds for Aircraft Engine Detection in Autonomous Jetbridge Operations
Authors: Weon Ihnsik , Lee Soongeul , Yoo Juhan
Published: October 2024

This paper presents a study on aircraft engine identification using real-time 3D LiDAR point cloud segmentation technology, a key element for the development of automated docking systems in airport boarding facilities, known as jetbridges. To achieve this, 3D LiDAR sensors utilizing a spinning method were employed to gather surrounding environmental 3D point cloud data. The raw 3D environmental data were then filtered using the 3D RANSAC technique, excluding ground data and irrelevant apron areas. Segmentation was subsequently conducted based on the filtered data, focusing on aircraft sections. For the segmented aircraft engine parts, the centroid of the grouped data was computed to determine the 3D position of the aircraft engine. Additionally, PointNet was applied to identify aircraft engines from the segmented data. Dynamic tests were conducted in various weather and environmental conditions, evaluating the detection performance across different jetbridge movement speeds and object-to-object distances. The study achieved a mean intersection over union (mIoU) of 81.25% in detecting aircraft engines, despite experiencing challenging conditions such as low-frequency vibrations and changes in the field of view during jetbridge maneuvers. This research provides a strong foundation for enhancing the robustness of jetbridge autonomous docking systems by reducing the sensor noise and distortion in real-time applications. Our future research will focus on optimizing sensor configurations, especially in environments where sea fog, snow, and rain are frequent, by combining RGB image data with 3D LiDAR information. The ultimate goal is to further improve the system’s reliability and efficiency, not only in jetbridge operations but also in broader autonomous vehicle and robotics applications, where precision and reliability are critical. The methodologies and findings of this study hold the potential to significantly advance the development of autonomous technologies across various industrial sectors.
Development and Validation of a Theoretical Model for Addressing Problems in Agile Meetings: A Systematic Literature Review and a Qualitative Study
Authors: Gaborov Maja , Stojanov Zeljko , Popov Srđan , Stojanov Jelena , Kavalić Mila , Kovač Dragana , Vecštejn Igor
Published: October 2024

Agile meetings are an essential part of modern software development, but they often face challenges such as lack of focus, communication problems, technological difficulties, and the like. Previous research has often addressed individual issues of agile meetings but has not provided sufficiently integrated or practical models to comprehensively address these challenges. This research fills this gap, developing a theoretical model that not only identifies key issues but systematically links them to provide a deeper understanding of their impact on meeting effectiveness.In this paper, we present a theoretical model that depicts intra-team problems in agile meetings developed through a systematic literature review (SLR). After initial development, the model was validated and improved through the qualitative analysis of semi-structured interviews with IT experts. This research aimed to confirm the coverage and relevance of the content of the preliminary model, as well as to identify the need for modification. The results of the interviews suggest that the presented model is adequate but that there is a need for potential improvement. IT experts agreed with the items in the model, and some of them suggested improvements. The model is promising because it illustrates the key issues that influence the effectiveness of agile meetings in a promising way. IT experts agreed on the items in the model, and some of them suggested improving the model.
Bridging the Appearance Domain Gap in Elderly Posture Recognition with YOLOv9
Authors: Bustamante Andrés , Belmonte Lidia M. , Morales Rafael , Pereira António , Fernández-Caballero Antonio
Published: October 2024

Accurate posture detection of elderly people is crucial to improve monitoring and provide timely alerts in homes and elderly care facilities. Human posture recognition is experiencing a great leap in performance with the incorporation of deep neural networks (DNNs) such as YOLOv9. Unfortunately, DNNs require large amounts of annotated data for training, which can be addressed by using virtual reality images. This paper investigates how to address the appearance domain that lies between synthetic and natural images. Therefore, four experiments (VIRTUAL–VIRTUAL; HYBRID–VIRTUAL; VIRTUAL–REAL; and HYBRID–REAL) were designed to assess the feasibility of recognising the postures of virtual or real elderly people after training with virtual and real images of elderly people. The results show that YOLOv9 achieves the most outstanding accuracy of 98.41% in detecting and discriminating between standing, sitting, and lying postures after training on a large number of virtual images complemented by a much smaller number of real images when testing on real images.
Enhanced Age-Dependent Motor Impairment in Males of Drosophila melanogaster Modeling Spinocerebellar Ataxia Type 1 Is Linked to Dysregulation of a Matrix Metalloproteinase
Authors: Palmer Emma M. , Snoddy Caleb A. , York Peyton M. , Davis Sydney M. , Hunter Madelyn F. , Krishnan Natraj
Published: October 2024

Over the past two decades, Drosophila melanogaster has proven to be successful in modeling the polyglutamine (polyQ) (caused by CAG repeats) family of neurodegenerative disorders, including the faithful recapitulation of pathological features such as polyQ length-dependent formation of protein aggregates and progressive neuronal degeneration. In this study, pan-neuronal expression of human Ataxin-1 with long polyQ repeat of 82 amino acids was driven using an elav-GAL4 driver line. This would essentially model the polyQ disease spinocerebellar ataxia type 1 (SCA1). Longevity and behavioral analysis of male flies expressing human Ataxin-1 revealed compromised lifespan and accelerated locomotor activity deficits both in diurnal activity and negative geotaxis response compared to control flies. Interestingly, this decline in motor response was coupled to an enhancement of matrix metalloproteinase 1 (dMMP1) expression together with declining expression of extracellular matrix (ECM) fibroblast growth factor (FGF) signaling by hedgehog (Hh) and branchless (bnl) and a significant decrease in expression of survival motor neuron gene (dsmn) in old (30 d) flies. Taken together, our results indicate a role for dysregulation of matrix metalloproteinase in polyQ disease with consequent impact on ECM signaling factors, as well as SMN at the neuromuscular junction causing overt physiological and behavioral deficits.
Lifestyle and BMI Changes after the Release of COVID-19 Restrictions: Do Humans Go ‘Back to Normal’?
Authors: Krznar Boris , Vilenica Marijan , Rühli Frank , Bender Nicole
Published: October 2024

Humans adapt their life history strategy and lifestyle behavior to the environment. The social restrictions during the COVID-19 pandemic in the years 2020–2021 led to changes in diet and physical activity habits in large parts of populations worldwide. Additionally, many people reported an increase in body weight during the pandemic. We investigated how diet quality, physical activity, and BMI changed since the end of the COVID-19 restrictions in Switzerland (2019–2023). We assessed diet and physical activity using a standardized questionnaire. We measured anthropometry and BMI using a stadiometer and a balance of a medical bioimpedance analyzer. Our results show a stable BMI in men and women during the pandemic. In both sexes, diet quality and physical activity levels did not change significantly during this time. Among women, physical activity and age were associated with BMI, while in men, apart from physical activity, high diet quality and living in the agglomeration were associated with BMI. Overall, we did not find evidence for a transient “unhealthier” lifestyle immediately after the COVID-19 pandemic. However, we found constituent sex differences in BMI determinants. Our results could indicate a higher resilience in highly educated persons and might contribute to more personalized approaches to prevent obesity.
The Importance of Gut Microbiota on Choline Metabolism in Neurodegenerative Diseases
Authors: Eslami Majid , Alibabaei Farnaz , Babaeizad Ali , Banihashemian Seyedeh Zahra , Mazandarani Mahdi , Hoseini Aref , Ramezankhah Mohammad , Oksenych Valentyn , Yousefi Bahman
Published: October 2024

The gut microbiota is a complex ecosystem that influences digestion, immune response, metabolism, and has been linked to health and well-being. Choline is essential for neurotransmitters, lipid transport, cell-membrane signaling, methyl-group metabolism and is believed to have neuroprotective properties. It is found in two forms, water-soluble and lipid-soluble, and its metabolism is different. Long-term choline deficiency is associated with many diseases, and supplements are prescribed for improved health. Choline supplements can improve cognitive function in adults but not significantly. Choline is a precursor of phospholipids and an acetylcholine neurotransmitter precursor and can be generated de novo from phosphatidylcholine via phosphatidylethanolamine-N-methyltransferase and choline oxidase. Choline supplementation has been found to have a beneficial effect on patients with neurodegenerative diseases, such as Alzheimer’s disease (AD), by increasing amyloid-β, thioflavin S, and tau hyper-phosphorylation. Choline supplementation has been shown to reduce amyloid-plaque load and develop spatial memory in an APP/PS1 mice model of AD. Choline is necessary for normative and improved function of brain pathways and can reduce amyloid-β deposition and microgliosis. Clinical research suggests that early neurodegenerative diseases (NDs) can benefit from a combination of choline supplements and the drugs currently used to treat NDs in order to improve memory performance and synaptic functioning.
Pyroptosis: An Accomplice in the Induction of Multisystem Complications Triggered by Obstructive Sleep Apnea
Authors: Han Jingwen , Ye Lisong , Wang Yan
Published: October 2024

Obstructive sleep apnea (OSA) is a common respiratory disorder, primarily characterized by two pathological features: chronic intermittent hypoxia (CIH) and sleep deprivation (SD). OSA has been identified as a risk factor for numerous diseases, and the inflammatory response related to programmed cell necrosis is believed to play a significant role in the occurrence and progression of multisystem damage induced by OSA, with increasing attention being paid to pyroptosis. Recent studies have indicated that OSA can elevate oxidative stress levels in the body, activating the process of pyroptosis within different tissues, ultimately accelerating organ dysfunction. However, the molecular mechanisms of pyroptosis in the multisystem damage induced by OSA remain unclear. Therefore, this review focuses on four major systems that have received concentrated attention in existing research in order to explore the role of pyroptosis in promoting renal diseases, cardiovascular diseases, neurocognitive diseases, and skin diseases in OSA patients. Furthermore, we provide a comprehensive overview of methods for inhibiting pyroptosis at different molecular levels, with the goal of identifying viable targets and therapeutic strategies for addressing OSA-related complications.
Role of Calcium in an Experimental Breast Cancer Model Induced by Radiation and Estrogen
Authors: Calaf Gloria M. , Ardiles Luis N. , Crispin Leodan A.
Published: October 2024

Background: Breast cancer, a global health challenge, significantly impacts women worldwide, causing morbidity, disability, and mortality. Objectives: To analyze the role of genes encoding S100 calcium-binding proteins and their relationship with radiation as possible markers in breast carcinogenesis. Methods: The normal MCF-10F cell line was used to study the role of ionizing radiation and estrogen to induce distinct stages of malignancy giving rise to an in vitro experimental breast cancer model. Results: Analysis of an Affymetrix system revealed that the gene expression levels of the S100 calcium-binding protein P (S100P), the S100 calcium-binding protein A14 (S100A14), and the S100 calcium-binding protein A2 (S100A2) were greater in the Tumor2 than the non-tumorigenic Alpha3 or the tumorigenic Alpha5 cell lines; however, the S100 calcium-binding protein A8 (S100A8) and the S100 calcium-binding protein A9 (S100A9) expression levels were higher in A5 than T2 and A3 cell lines. A significant positive association was found between the estrogen receptor alpha gene (ESR1) and S100A14 in Basal and Her2 patients. The association between ESR1 and S100A8 and S100A9 expression levels was positive in Basal patients but negative in Her2, Luminal A, and Luminal B. S100P and S100A14 expression levels were higher in tumor tissues than in normal ones. The estrogen receptor status was positive in patients with high levels of the S10014 gene, but negative in S100A2, S100A8, and S100A9 expression levels. Conclusion: Cell dependence needs to be considered while designing new breast cancer treatments since gene signatures might vary depending on the type of tumor.
Experimental Study on Horizontal Resistance Parameter of Gravelly Soil Considering Slope Gradient Factor
Authors: Wang Yanfang , Chen Jibin , Pan Zhengwei , Yang Lan , Zhang Hui , Wu Xinjia
Published: October 2024

Horizontal resistance can be significantly different for gravelly soil slope sites with different gradients. The impact of slope gradient on the horizontal resistance of soil based on a three-dimensional physical simulation test has been investigated, and the displacement of the pile top and soil pressure for four piles under various gradients (slope gradient 0–45°) was analyzed. The research reveals that ① The soil resistance exhibits a linear increase stage, non-linear steep increase stage, and gradually stabilizing stage with the increase in load. ② The ultimate soil resistance is significantly affected by depth and displacement, and hyperbolic variation characteristics related to the displacement stage. It has a slope weakening effect, and the steeper the slope gradient, the lower the ultimate soil resistance of the pile sides, which effect is negligible when the depth exceeds 0.6–0.7 times that of the pile buried depth. ③ Based on the characteristics of horizontal ultimate resistance-displacement-depth variation in soil, a gradient factor, which is only related to the slope gradient, was used to describe the impact of gradient on the soil resistance modulus (kini) and ultimate resistance (pu). kini is reduced close to the ground surface and gradually increases with depth until it becomes equal to the value of level ground. The ratio between pu in slope ground and level ground was determined for slope angles. The above horizontal resistance parameters were expressed as a function based on the test data to calculate the lateral ultimate bearing capacity of gravelly soil considering the slope gradient factor. The research results developed the theory of foundation design for building structures, promoting the reliability evaluation of pile soil systems towards a more scientific and rigorous direction.
Analysis of the Spatial Constraints of Urban Underpass Channels Based on BIM
Authors: Wang Anmeng , Li Wei , Liu Kai , Jia Xingli , Guo Junheng , Wang Kangjie
Published: October 2024

The construction of urban underpasses faces various spatial constraints, which will lead to deformation or failure of the structures if not satisfied. The introduction of BIM (Building Information Modeling) and other modern information technology to achieve rapid and accurate spatial constraint analysis of the design scheme is of great significance to ensure the quality and safety of the underpass and adjacent structures. Firstly, through extensive literature collection and survey, the key spatial constraint indicators of underpasses in dense urban spaces and the evaluation rules of each indicator are determined. Then, an SQL (Structured Query Language)-based database of spatial constraint rules for underpasses in dense urban space areas is constructed, and the spatial constraint analysis process for underpasses in dense urban space areas is proposed. Finally, based on Building Information Modeling, programming support, and a development environment provided by C# and Visual Studio, a spatial constraint analysis system for underpasses in dense urban space areas is developed to realize complex spatial constraint analysis functions. The application practice of the system is carried out by taking a city underpass project as an example. The results show that in the design of urban underpass engineering, the spatial constraint analysis system designed in this paper and the calculation method adopted can simplify the model transmission process, save on labor costs, and reduce the error of the calculation results.
A Review on Mechanism and Influencing Factors of Shear Performance of UHPC Beams
Authors: Jin Weijie , Yang Qiuwei , Peng Xi , Xu Bin
Published: October 2024

Ultra-High-Performance Concrete (UHPC) is increasingly used in various engineering projects due to its exceptional mechanical properties. This work conducts a literature review of research on the shear performance of UHPC beams in recent decades, with a focus on summarizing the formulas for calculating shear capacity and the main factors influencing shear performance. Firstly, this work reviews the calculation methods for the shear capacity of UHPC beams in different countries, along with their respective advantages and limitations. Subsequently, it provides a detailed analysis of various factors influencing the shear performance of UHPC beams, including longitudinal and stirrup reinforcement, steel fiber content, aggregates, admixtures, the shear-span ratio, shear keys, bolts, shear-reinforcement techniques, and environmental impacts. Through horizontal comparisons, the performance of UHPC beams and ordinary concrete beams under similar experimental conditions is examined to reveal the optimal shear working conditions for UHPC beams. Additionally, it is found that UHPC performs exceptionally well in composite beams, being compatible with numerous materials and significantly enhancing the shear strength of these beams. Lastly, the paper proposes suggestions for maximizing the shear performance of UHPC beams within a safe and reliable operating range and outlines future research directions.
Implementation of the Telemetric Integration of the BIM-RFID in Context of Access Control
Authors: Borkowski Andrzej Szymon , Brożyna Jakub , Lesiuk Julia
Published: October 2024

Building Information Modelling (BIM) integration with the Internet of Things (IoT) is progressing. The high level of BIM maturity involves using sensor data to manage processes or objects. The article presents the process of creating a telemetry connection between the BIM model and a Radio-Frequency Identification (RFID) sensor in the context of gaining access to various parts of a building. The process of creating a connection using an experimental set based on a microcontroller board for RFID reader support is described. The set was programmed using multiple programming languages and artificial intelligence. The article presents a unique process of connecting an RFID reader with BIM using a simple model that can be replicated in other contexts (e.g., gaining access to different parts of a construction site). Previous research shows that the unidirectional connection of IoT sensors with BIM models is not difficult. Instead, real-time bidirectional and stable connection (telemetry) is problematic. The authors undertook to fill this research gap using a proprietary IoT kit, programming sequence, and lightweight communication protocol. The paper makes a significant contribution to the discussion and understanding of BIM-IoT technology integration. The article also includes the limitations and possibilities for further development of such a connection.
Life Prediction and Reliability Evaluation of Reinforced Concrete Frame Structures Considering the Collision Response under Earthquake Conditions
Authors: Gao Jun , Yang Tianshuai , Zhang Xin
Published: October 2024

Firstly, in this study, we utilize the high-order element model (truss link model) simulation method in OpenSees (3.7.0) software and verify the feasibility of this method by comparing it with the shaking table test. Secondly, the structural dynamic response of adjacent structures with different performance levels, spacing, and layout forms under large earthquakes is analyzed, and the corresponding structural failure probability is studied. Furthermore, the life distribution within the design service life of the structure is predicted according to the nonparametric Kaplan–Meier estimation model. Finally, the reliability of adjacent structures is evaluated by using the joint engineering demand parameters. The analysis method of replacing the theoretical analysis based on engineering experience and certainty in the current specification with probability analysis is proposed, which provides a more reliable theoretical basis for decision-making regarding the reinforcement, maintenance, or demolition of structures in the later stage.
Parameters Affecting Seismic Performance of Longitudinally Connected Track Lateral Blocks on Bridges Under Low-Cycle Reciprocating Loads
Authors: He Binbin , Xu Shenglin , Feng Yulin , Li Jinping
Published: October 2024

In the current seismic analysis of high-speed railway track–bridge structures, the constitutive parameters of track lateral blocks (TLBs) are not uniform. A finite element model of the TLB’s main beam is established, which considers concrete plastic damage, interface bond between old and new concrete, and bond slip between anchorage steel bars (ASBs) and concrete. Quasi-static tests of nine TLBs with different numbers and ASB diameters at a 1:2 scale was carried out to verify the accuracy of the TLB finite element model in terms of the failure pattern, interface damage, hysteretic properties, and skeleton model. Based on the verified TLB finite element model, the influence of different TLB design parameters on its seismic performance parameters was studied. The results show that the established TLB finite element model is in good agreement with the test data in terms of failure pattern, interface damage, hysteretic properties, and skeleton model, which verifies the accuracy of the TLB finite element model. ASB number has the greatest influence on the TLB yield load, followed by ASB diameter, concrete strength, ASB strength, and ASB spacing. ASB diameter has the greatest influence on the TLB peak load, followed by ASB number, ASB strength, concrete strength, and ASB spacing. ASB diameter has the greatest influence on the TLB energy dissipation capacity, followed by ASB number, concrete strength, ASB strength, and ASB spacing. With the increase in concrete strength and ASB strength, TLB ductility decreases. When the ASB number is higher than eight or the diameter is higher than 12 mm and the corresponding interfacial steel bar ratio reaches 0.82%, the TLB ductility will decrease.
How Does Online Shopping Shape the Sense of Community? The Mediating Role of Various Social Activities
Authors: Jiang Jiayi , Chen Shi , Wang Huixin , Zhuang Xinqi , Zheng Ziang , Luo Shixian
Published: October 2024

The rapid expansion of digital commerce, particularly same-day-delivery and next-day-delivery online shopping, is transforming daily life and community dynamics in urban settings. This study explores how these shopping behaviors impact the sense of community by mediating various social activities at both individual and community levels. Using an online survey design, this study analyzes the mediating roles of different types of social interactions, including informal social gatherings and organized community events, in shaping a sense of community. The findings reveal that while both unplanned, low-threshold interactions and more structured, organized activities contribute to a sense of community, their effects vary in strength. Stronger, more deliberate social interactions, such as resident-led events, show a full mediation effect, whereas casual, spontaneous encounters provide partial mediation. Similarly, organized community events demonstrate different levels of influence, with community-organized activities fully mediating certain sense of community dimensions and resident-engaged activities providing more comprehensive impacts. These findings highlight that same-day-delivery and next-day-delivery online shopping behaviors significantly shape the sense of community by facilitating both informal and organized social interactions.
Optimizing Treatment Strategies for Egfr-Mutated Non-Small-Cell Lung Cancer Treated with Osimertinib: Real-World Outcomes and Insights
Authors: Thomas Quentin Dominique , Girard Nicolas , Bosquet Lise , Cavaillon Sarah , Filleron Thomas , Eltaief Siham , Chouaid Christos , Lena Hervé , Debieuvre Didier , Perol Maurice , Quantin Xavier
Published: October 2024

Background: Osimertinib, a third-generation EGFR tyrosine kinase inhibitor (TKI), demonstrated superior efficacy over first-generation TKIs in the FLAURA trial, resulting in its approval as first-line therapy for metastatic non-small-cell lung cancer (NSCLC). However, the real-world application of these trial results requires an evaluation of sequential therapeutic strategies. Methods: This retrospective, non-interventional study utilized data from the Epidemiological Strategy and Medical Economics (ESME) platform, which includes information on patients treated for lung cancer since 2015. Out of 39,974 patients in the database, 624 patients with EGFR-mutant advanced NSCLC treated with osimertinib as first-line (L1, n = 198) or second-line (L2, n = 426) treatment after first- or second-generation TKIs (n = 1262) were identified. Patient demographics, disease characteristics, treatment strategies, and disease progression were examined. Survival analyses were performed using Kaplan–Meier estimates and Cox proportional-hazards models. Results: In the study population (n = 624), 73.4% were female, with a median age of 70 years (range 28–93). Brain metastases at the start of osimertinib treatment were observed in 282 patients. ECOG PS-2 was reported in 29.4% of patients. The T790M mutation in exon 20 was identified in 257/426 patients (60.3%) receiving osimertinib in L2. Median progression-free survival (PFS) was 12.4 months (95% CI [10.7–14.7]) for L1 and 7.4 months (95% CI [6.2–8.7]) for L2. Median overall survival (OS) from advanced diagnosis was 28.5 months (95% CI [26.3–38.7]) for osimertinib L1 and 29.9 months (95% CI [28.6–31.8]) for osimertinib L2 (HR = 0.93; 95% CI [0.75–1.16]; p = 0.50). For L1, median OS was 27.1 months (95% CI [22.0–30.2]) for patients with cerebral metastases and 38.7 months (95% CI [26.3–52.8]) for those without (HR = 0.73; 95% CI [0.48–1.11]; p = 0.15). Discussion: Patients in the real-world ESME database exhibited a poorer prognosis compared to those in the FLAURA trial. The presence of cerebral metastases at diagnosis worsens the prognosis.
Unveiling the Promise: Navigating Clinical Trials 1978–2024 for PDAC
Authors: Dominguez Angel A. , Perz Matthew T. , Xu Yi , Cedillo Leonor G. , Huang Orry D. , McIntyre Caitlin A. , Vudatha Vignesh , Trevino Jose G. , Liu Jun , Wang Pei
Published: October 2024

Despite many decades of research, pancreatic ductal adenocarcinoma (PDAC) remains one of the most difficult cancers to diagnose and treat effectively. Although there have been improvements in the 5-year overall survival rate, it is still very low at 12.5%. The limited efficacy of current therapies, even when PDAC is detected early, underscores the aggressive nature of the disease and the urgent need for more effective treatments. Clinical management of PDAC still relies heavily on a limited repertoire of therapeutic interventions, highlighting a significant gap between research efforts and available treatments. Over 4300 clinical trials have been or are currently investigating different treatment modalities and diagnostic strategies for PDAC, including targeted therapies, immunotherapies, and precision medicine approaches. These trials aim to develop more effective treatments and improve early detection methods through advanced imaging techniques and blood-based biomarkers. This review seeks to categorize and analyze PDAC-related clinical trials across various dimensions to understand why so few chemotherapeutic options are available to patients despite the numerous trials being conducted. This review aims to provide a comprehensive and nuanced understanding of the landscape of PDAC-related clinical trials, with the overarching goal of identifying opportunities to accelerate progress in drug development and improve patient outcomes in the fight against this devastating disease.
SIR-EN—New Biomarker for Identifying Patients at Risk of Endometrial Carcinoma in Abnormal Uterine Bleeding at Menopause
Authors: Ronsini Carlo , Iavarone Irene , Vastarella Maria Giovanna , Della Corte Luigi , Andreoli Giada , Bifulco Giuseppe , Cobellis Luigi , De Franciscis Pasquale
Published: October 2024

Objective: This study aimed to evaluate the efficacy of a new biomarker, termed SIR-En, in identifying patients at risk of endometrial carcinoma among those presenting with abnormal uterine bleeding during menopause. Material and Methods: A retrospective case–control analysis was conducted on 242 women with menopausal abnormal uterine bleeding and endometrial thickness ≥ 4 mm. Peripheral blood samples were collected within 7 days before histological diagnosis. systemic inflammatory reaction (SIR) indices were calculated, including NLR, MLR, PLR, and SII. SIR-En was derived by multiplying SII and endometrial thickness. Statistical analyses, including multivariate linear regression and ROC curve analysis, were performed to assess the diagnostic capability of SIR-En. Results: Patients were categorized into endometrial hyperplasia (50 patients) and endometrial cancer (192 patients) groups. The SIR-En index was significantly higher in the carcinoma group (8710 vs. 6420; p = 0.003). The ROC curve for SIR-En had an AUC of 0.6351 (95% CI: 0.5579–0.7121). Using Youden’s method, the optimal SIR-En cutoff was 13,806, showing a specificity of 0.940 and a positive predictive value of 0.957. Conclusions: Combining systemic inflammatory indices with endometrial thickness, the SIR-En index can effectively distinguish between endometrial hyperplasia and carcinoma in menopausal women with abnormal uterine bleeding. Despite the retrospective design, the identified cutoff’s high specificity and positive predictive value support its potential utility in clinical practice. Further prospective studies are required to validate these findings and optimize clinical application.
Decrease in Primary Caregivers’ Quality of Life During the Care of a Relative with Palliative Care Needs: A Prospective Longitudinal Study
Authors: Pop Rodica Sorina , Cojan Minzat Bianca Olivia , Ursu Cristina Paula , Ursu Ștefan , Puia Aida
Published: October 2024

Background/Objectives: The quality of life is a complex concept that is insufficiently assessed in clinical practice. It is influenced by different factors, as follows: the individual’s characteristics, personal values and beliefs, physical and mental state, and relationship to other members of their community. The quality of life of the primary caregiver influences their health and the quality of their care interventions. This study aims to investigate how the quality of life of caregivers changes during palliative patients’ care. Methods: This is a prospective longitudinal study that assesses the different aspects of the quality of life of primary caregivers who care for patients with palliative needs. The tool used in this study was the Medical Outcomes Scale-Short Form 36 (MOS-SF36). Results: This study included 140 caregivers, of which 63 were involved in the care of patients with cancer and 77 were involved in the care of patients with non-oncological diseases. Almost 9 out of 10 caregivers were a family member of the patient and over two-thirds of these were women. The caregivers of patients with non-malignant diseases had a decreased quality of life in the following aspects: limitations in their usual role due to emotional problems, social functioning, energy, and their perception of their general health. In the group of oncological patients, the caregivers displayed limitations in their daily role due to physical health, emotional problems, and social functioning. Conclusions: The large number of responsibilities, the long time spent caring, and the uncertainty about the evolution of the disease as well as the marginalization and lack of time for oneself are some of the elements that increase caregiver burden. Along with this, the quality of life of caregivers decreases significantly in different aspects, such as physical, psycho-emotional, and social, with the perception of deteriorating general health.
Cancer Therapy-Induced Encephalitis
Authors: Desbaillets Nicolas P. , Hottinger Andreas F.
Published: October 2024

Encephalitis associated with cancer therapies is a rare but serious complication that can significantly impact patients’ quality of life and it requires prompt identification and management. Over the past two decades, immunotherapy—particularly immune checkpoint inhibitors—has become a cornerstone of cancer treatment, with up to half of metastatic cancer patients in economically developed countries now receiving these therapies. The widespread adoption of immunotherapy has led to improved survival rates and long-term remissions, even in patients with advanced metastatic disease. However, as immune modulators, these therapies can trigger a range of immune-related adverse events, including a variety of novel neurological toxicities. Among these, encephalitis is of particular concern due to its potential severity, which can compromise treatment outcomes. This review aims to provide a comprehensive overview of the literature on this condition, highlighting optimal diagnostic strategies and management approaches to mitigate the risk of significant morbidity, while also comparing encephalitis induced by immunotherapy with that caused by traditional chemotherapies and targeted oncologic treatments.
Oncogene Downregulation by Mahanine Suppresses Drug-Sensitive and Drug-Resistant Lung Cancer and Inhibits Orthotopic Tumor Progression
Authors: Kandimalla Raghuram , Moholkar Disha N. , Samanta Suman Kumar , Tyagi Neha , Aqil Farrukh , Gupta Ramesh
Published: October 2024

Background/Objectives: Lung cancer is one of the deadliest cancers, and drug resistance complicates its treatment. Mahanine (MH), an alkaloid from Murraya koenigii has been known for its anti-cancer properties. However, its effectiveness and mechanisms in treating non-small cell lung cancer (NSCLC) remain largely unexplored. The present study aimed to investigate MH’s effect on drug-sensitive and drug-resistant NSCLC and its potential mechanism of action. Methods: We isolated MH from M. koenigii leaves and the purity (99%) was confirmed by HPLC, LC-MS and NMR. The antiproliferative activity of MH was determined using MTT and colony formation assays against drug-sensitive (A549 and H1299) and Taxol-resistant lung cancer cells (A549-TR). Western blot analysis was performed to determine MH’s effects on various molecular targets. Anti-tumor activity of MH was determined against lung tumors developed in female NOD Scid mice injected with A549-Fluc bioluminescent cells (1.5 × 106) intrathoracically. Results: MH dose-dependently reduced the proliferation of all lung cancer cells (A549, H1299 and A549-TR), with IC50 values of 7.5, 5, and 10 µM, respectively. Mechanistically, MH arrested cell growth in the G0/G1 and G2/M phases of the cell cycle by inhibiting cyclin-dependent kinase 4/6 (CDK4/6) and cell division control 2 (CDC2) and induced apoptosis through the downregulation of B-cell leukemia/lymphoma 2 (BCL2) and B-cell lymphoma-extra large (BCL-XL). The apoptotic induction capacity of MH can also be attributed to its ability to inhibit pro-oncogenic markers, including mesenchymal–epithelial transition factor receptor (MET), phosphorylated protein kinase B (p-AKT), phosphorylated mammalian target of rapamycin (p-mTOR), survivin, rat sarcoma viral oncogene (RAS), myelocytomatosis oncogene (cMYC), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) levels. In vivo, MH (25 mg/kg b. wt.) significantly (p < 0.001) inhibited the growth of A549 lung cancer orthotopic xenografts in NOD Scid mice by 70%. Conclusions: Our study provides new mechanistic insights into MH’s therapeutic potential against NSCLC.
Mapping Natural Sugars Metabolism in Acute Myeloid Leukaemia Using 2D Nuclear Magnetic Resonance Spectroscopy
Authors: Muhs Christina , Alshamleh Islam , Richter Christian , Serve Hubert , Schwalbe Harald
Published: October 2024

Metabolism plays a central role in cancer progression. Rewiring glucose metabolism is essential for fulfilling the high energy and biosynthetic demands as well as for the development of drug resistance. Nevertheless, the role of other diet-abundant natural sugars is not fully understood. In this study, we performed a comprehensive 2D NMR spectroscopy tracer-based assay with a panel of 13C-labelled sugars (glucose, fructose, galactose, mannose and xylose). We assigned over 100 NMR signals from metabolites derived from each sugar and mapped them to metabolic pathways, uncovering two novel findings. First, we demonstrated that mannose has a semi-identical metabolic profile to that of glucose with similar label incorporation patterns. Second, next to the known role of fructose in driving one-carbon metabolism, we explained the equally important contribution of galactose to this pathway. Interestingly, we demonstrated that cells growing with either fructose or galactose became less sensitive to certain one-carbon metabolism inhibitors such as 5-Flurouracil and SHIN1. In summary, this study presents the differential metabolism of natural sugars, demonstrating that mannose has a comparable profile to that of glucose. Conversely, galactose and fructose contribute to a greater extent to one-carbon metabolism, which makes them important modulators for inhibitors targeting this pathway. To our knowledge, this is the first NMR study to comprehensively investigate the metabolism of key natural sugars in AML and cancer.