bluuebunny/crossref_metadata_2025 huggingface dataset:
Stochasticity Highlights the Development of Both the Gastrointestinal and Upper-Respiratory-Tract Microbiomes of Neonatal Dairy Calves in Early Life
Authors: Frazier A. Nathan , Ferree Logan , Belk Aeriel D. , Al-Lakhen Khalid , Cramer M. Caitlin , Metcalf Jessica L.
Published: January 2025

The microbiome of dairy calves undergoes extensive change due to various forces during the first weeks of life. Importantly, diseases such as bovine respiratory disease (BRD) and calf diarrhea can have profound impacts on the early-life microbiome. Therefore, a longitudinal, repeated-measures pilot study was designed to characterize the establishment of nasal and fecal microbiomes of dairy calves, assess the governing forces of microbial assembly, and evaluate how disease states impact these microbial ecologies. Dairy calves (n = 19) were clinically evaluated for gastrointestinal and respiratory disease across three weeks beginning at age ≤ seven days old. Fecal (n = 57) and nasal (n = 57) microbial samples were taken for paired-end 16S rRNA gene amplicon sequencing. Taxonomy and diversity analyses were used to characterize early-life nasal and fecal microbiomes. Stochasticity and determinism were measured using normalized stochasticity testing (NST) and Dirichlet multinomial model (DMM). All analyses were tested for statistical significance. Clinical diarrhea was observed in 11 of the 19 calves. Clinical BRD was not independently observed among the cohort; however, two calves presented clinical signs of both BRD and diarrhea. Taxonomic analysis revealed that fecal samples were highlighted by Bacteroidaceae (40%; relative abundance), Ruminococcaceae (13%), and Lachnospiraceae (10%), with changes in diversity (Kruskal–Wallis; p < 0.05) and composition (PERMANOVA; p < 0.05). Clinical diarrhea reduced diversity in the fecal microbiome but did not impact composition. Nasal samples featured Moraxellaceae (49%), Mycoplasmataceae (16%), and Pasteurellaceae (3%). While no diversity changes were seen in nasal samples, compositional changes were observed (p < 0.05). NST metrics (Kruskal–Wallis; p > 0.01) and DMM (PERMANOVA; p < 0.01) revealed that stochastic, neutral theory-based assembly dynamics govern early-life microbial composition and that distinct microbial populations drive community composition in healthy and diarrheic calves.
Impact of Threonine Supply in Early Ages on Gut Tissue Morphology, Liver Histology, and the Possible Changes in Leukocyte Numbers of Broilers
Authors: Halas Veronika , Áprily Szilvia , Nagy József , Turbók Janka , Tischler Annamária , Szeli Nóra Katalin , Petneházy Örs , Csötönyi Orsolya , Enyezdi Judit , Ács Virág
Published: January 2025

Delayed feed access post-hatch negatively impacts growth and intestinal development in broilers. Threonine (Thr) is known to support epithelial tissue development. This study evaluated the effects of early feeding strategies, including in ovo Thr administration and hydrogel provision, on broiler performance, gut and liver histomorphology, and leukocyte profiles. Control birds were fed immediately post-hatch, while others experienced a 48 h feed delay. One group received in ovo Thr on day 17 of incubation, while others were given Hydrogel® with or without Thr during the first 48 h post-hatch. Immediate feed birds showed the best performance (p < 0.05), while early Thr supplementation (in ovo or hydrogel) partially mitigated the negative effects of delayed feed access. On day 21, birds treated with in ovo Thr had 4% higher body weight (BW) than untreated birds (p < 0.05). Birds given hydrogel post-hatch showed no significant BW differences compared to other groups (p > 0.05), but 48 h delayed, non-supplemented birds had 34.3% lower BW than immediate-fed birds (p < 0.05). Compensation was linked to improved gut architecture, though no significant effects were observed on leukocyte profiles or liver histology. In ovo Thr feeding is recommended to mitigate the adverse effects of a two-day delay in feed access for broiler chickens.
Experimental Study of Compression Behavior on Monolayer FFF Samples
Authors: Batista Moises , Mayuet Ares Pedro F. , Vazquez-Martinez Juan Manuel , Droste-Wendt Christiane
Published: January 2025

Additive manufacturing (AM) processes, such as Fused Filament Fabrication (FFF), enable the production of lightweight parts with high stiffness-to-weight ratios, making them highly suitable for a wide range of engineering applications. However, ensuring the mechanical reliability of these components, particularly for load-bearing purposes, requires systematic mechanical testing of well-designed specimens to asses their suitability. While the tensile properties of additively manufactured materials have been extensively studied, the compressive behavior of components produced via AM, particularly those made from thermoplastic materials, remains comparatively underexplored and insufficiently characterized in the existing body of research. Among these materials, polylactic acid (PLA)—a biodegradable thermoplastic derived from renewable resources—has gained prominence in AM applications. Recent studies have investigated the compression properties of PLA in reinforced materials; however, the focus has primarily been on solid, semi-solid, or porous specimens. These investigations largely overlook thin-walled structures, which are integral to weight-saving designs and commonly feature in topology-optimized structures. Understanding the mechanical behavior of monolayers, the fundamental building blocks of most AM components, is essential for accurately predicting the overall performance of multilayer structures. Monolayers represent the smallest, most basic structural elements of AM parts, and their properties directly influence the behavior of the final, more complex assemblies. Establishing a methodology that correlates monolayer properties with those of multilayer components could significantly streamline testing procedures. By performing mechanical tests on monolayers, instead of on more intricate multilayer specimens, manufacturers could reduce testing complexity and cost while accelerating the development process. The current literature reveals a gap in the design and analysis of thin-walled AM specimens, especially monolayers, under compressive loads. Specifically, the design of monolayer or thin-walled AM compression specimens without infill has not been thoroughly explored. This article addresses this gap by investigating the design and testing of AM monolayer compression specimens produced using FFF of PLA. Three distinct specimen geometries are considered—circular, helicoidal, and S-shaped—to evaluate their potential for understanding and predicting the compressive behavior of AM monolayer structures.
Optimizing Image Watermarking with Dual-Tree Complex Wavelet Transform and Particle Swarm Intelligence for Secure and High-Quality Protection
Authors: Bsoul Abed Al Raoof , Ismail Alaa Bani
Published: January 2025

Watermarking is a technique used to address issues related to the widespread use of the internet, such as copyright protection, tamper localization, and authentication. However, most watermarking approaches negatively affect the quality of the original image. In this research, we propose an optimized image watermarking approach that utilizes the dual-tree complex wavelet transform and particle swarm optimization algorithm. Our approach focuses on maintaining the highest possible quality of the watermarked image by minimizing any noticeable changes. During the embedding phase, we break down the original image using a technique called dual-tree complex wavelet transform (DTCWT) and then use particle swarm optimization (PSO) to choose specific coefficients. We embed the bits of a binary logo into the least significant bits of these selected coefficients, creating the watermarked image. To extract the watermark, we reverse the embedding process by first decomposing both versions of the input image using DTCWT and extracting the same coefficients to retrieve those corresponding bits (watermark). In our experiments, we used a common dataset from watermarking research to demonstrate the functionality against various watermarked copies and peak signal-to-noise ratio (PSNR) and normalized cross-correlation (NCC) metrics. The PSNR is a measure of how well the watermarked image maintains its original quality, and the NCC reflects how accurately the watermark can be extracted. Our method gives mean PSNR and NCC of 80.50% and 92.51%, respectively.
Weight-Adjusted Waist Index as a New Useful Tool for Assessing Body Composition and Risk of Metabolic Disorders in Adult Women
Authors: Gažarová Martina , Hačková Laura , Sharlovych Zoia , Lenártová Petra , Kijovská Mária , Pastrnáková Jana , Kutiuhova Tetiana
Published: January 2025

(1) Background: Commonly used anthropometric indices have limitations that discriminate their relevance. The subject of this research was to evaluate the health risks associated with body composition using the new weight-adjusted waist index (WWI). (2) Materials and Methods: The research group consisted of two hundred and thirty-nine Caucasian women. Body composition was analyzed by the MF-BIA method using InBody 970. The WWI was calculated as waist circumference divided by the square root of weight. Biochemical parameters (lipid profile, glucose, hs-CRP and uric acid) were analyzed using a Biolis 24i Premium biochemical analyser. One-factor variance analysis, a post-hoc test, Pearson correlation analysis and WWI quartiles were used for the statistical evaluation. (3) Results: The results showed significant differences between WWI quartiles. Compared to the lowest quartile, participants in the highest quartile groups had the highest values of body weight (58.49 vs. 87.17 kg; p < 0.001), waist circumference (WC) (76.47 vs. 109.45 cm; p < 0.001), body mass index (BMI) (20.65 vs. 32.06 kg/m2; p < 0.001), waist-to-hip ratio (WHR) (0.84 vs. 1.03; p < 0.001), waist-to-height ratio (WHtR) (0.46 vs. 0.66; p < 0.001), fat-free mass (FFM) (44.97 vs. 49.12 kg; p < 0.001), fat mass (FM) (13.52 vs. 38.05 kg; p < 0.001) and visceral fat area (VFA) (56.94 vs. 150.62 cm2; p < 0.001), confirming a higher risk of obesity. The women in the highest quartile had significantly higher values of total cholesterol (TC), triglycerides (TG), glucose (GLU), uric acid (UA), high-sensitivity C-reactive protein (hs-CRP) and systolic and diastolic blood pressure (BP). The correlations showed a strong positive relationship of the WWI with WC (r = 0.924), VFA (r = 0.907) and FM (r = 0.901) and a strong negative relationship with %FFM (r = −0.9) and %SMM (skeletal muscle mass) (r = −0.887). The correlation analysis also confirmed a strong positive association with WHR (r = 0.964), WHtR (r = 0.944), FMI (r = 0.902) and BMI (r = 0.863). (4) Conclusions: Our results confirmed that the WWI is a useful tool for assessing fat and muscle components, as well as for assessing health risks.
The Role of Impulse Oscillometry in Detection of Preserved Ratio Impaired Spirometry (PRISm)
Authors: Liwsrisakun Chalerm , Chaiwong Warawut , Deesomchok Athavudh , Duangjit Pilaiporn , Pothirat Chaicharn
Published: January 2025

Background: Information is limited regarding the role of impulse oscillometry (IOS) for the detection of preserved ratio impaired spirometry (PRISm). Therefore, we aimed to study the diagnostic ability of IOS in differentiating between PRISm and healthy subjects. Methods: This retrospective data collection was done at the Lung Health Center, Faculty of Medicine, Chiang Mai University, Thailand between July 2019 and April 2022. The potential diagnostic possibilities of difference in resistance at 5 Hz (R5) and resistance at 20 Hz (R20) (R5-R20) for PRISm detection were analyzed. Results: The prevalence of PRISm was higher when using the fixed ratio (FR) criteria (FEV1/FVC ≥0.7 with FEV1 < 80% of predicted value) compared to the lower limit of normal (LLN) criteria (FEV1/FVC ≥ LLN and FEV1 < LLN) (10.0% vs. 4.2%). The %prediction for R5-R20 provided an acceptable area under the curve (AUC) for PRISm, defined by the LLN and the FR criteria (AuROC = 0.75 (95%CI; 0.64, 0.85) and 0.72 (95%CI; 0.63, 0.81), respectively). The cut-off value of %predicted R5-R20 ≥120% resulted in the highest sensitivity and specificity for detecting PRISm. Conclusions: The %predicted of R5-R20 ≥ 120% showed an acceptable performance for PRISm detection and PRISm may be detected by IOS.
In Situ Study of the Temperature and Fluence Dependence of Yb2+ Luminescence in Yttrium Aluminum Garnet (YAG) Single Crystals
Authors: Chang Ruotong , Song Yingjie , Hu Hongtao , Lv Shasha , Wang Guangfu , Qiu Menglin
Published: January 2025

In this study, ion-beam-induced luminescence with 2 MeV H+ was used to excite YAG single crystals at different temperatures. Under several constant temperatures, the luminescence intensity of Yb2+ monotonically decreases with increasing fluence, eventually reaching approximately 35% of the initial intensity at a fluence of 3.5 × 1014 cm−2. The nonmonotonic evolution behavior of Yb2+ luminescence intensity with temperature can be effectively described by the intermediate-state model under consecutive temperature variations. The presence of an intermediate state may be the primary cause of the negative thermal quenching of Yb2+ luminescence. Yb2+ luminescence intensity decreased to 60% of the initial intensity when the temperature was continuously varied in the 100–300 K range, although the peak position remained rather stable. The luminescence of Yb2+ exhibits good radiation resistance and thermal stability in the experimental temperature range.
A Novel Method for Estimating the State of Health of Lithium-Ion Batteries Based on Physics-Informed Neural Network
Authors: Deng Yuxuan , Du Changqing , Ren Zhong
Published: January 2025

An accurate state of health (SOH) assessment of lithium-ion batteries is essential for ensuring the reliability and safety of electric vehicles (EVs). Data-driven SOH estimation methods have shown promise but face challenges in generalizing across diverse battery types and variable operating conditions. To address this, this study integrates physical information into data-driven approaches, enabling physically consistent inferences and a rapid adaptation to different battery chemistries and usage scenarios. Specifically, physical features correlated with battery degradation, such as the link between incremental capacity (IC) peaks and SOH, are used as constraints to guide model learning. A fully connected layer within a back-propagation neural network (BPNN) is employed to capture battery aging dynamics effectively. Experimental results on two datasets show that the proposed model outperforms traditional neural networks, reducing the RMSE by at least 1.1% and demonstrating strong generalizability in both single-dataset and transfer learning tasks.
Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment
Authors: Sanei Saeid , Lee Tracey K. M. , Boukhennoufa Issam , Jarchi Delaram , Zhai Xiaojun , McDonald-Maier Klaus
Published: January 2025

In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. On the other hand, data imbalance invalidates many of the test results crucial for clinical approvals. Generating synthetic (artificial or dummy) data has become a potential solution to address this issue. Such data should possess adequate information, properties, and characteristics to mimic the real-world data recorded in natural circumstances. Several methods have been proposed for this purpose, and results often show that adding surrogates improves the decision-making accuracy. This article evaluates the most recent surrogate data generation and data synthesis methods to investigate the effects of the number of surrogates on improving the classification results. It is shown that the data analysis/classification results improve with an increasing number of surrogates, but this no longer continues after a certain number of surrogates. This achievement helps in deciding on the number of surrogates for each strategy, resulting in the alleviation of the computation cost.
BankNet: Real-Time Big Data Analytics for Secure Internet Banking
Authors: Sathupadi Kaushik , Achar Sandesh , Bhaskaran Shinoy Vengaramkode , Faruqui Nuruzzaman , Uddin Jia
Published: January 2025

The rapid growth of Internet banking has necessitated advanced systems for secure, real-time decision making. This paper introduces BankNet, a predictive analytics framework integrating big data tools and a BiLSTM neural network to deliver high-accuracy transaction analysis. BankNet achieves exceptional predictive performance, with a Root Mean Squared Error of 0.0159 and fraud detection accuracy of 98.5%, while efficiently handling data rates up to 1000 Mbps with minimal latency. By addressing critical challenges in fraud detection and operational efficiency, BankNet establishes itself as a robust decision support system for modern Internet banking. Its scalability and precision make it a transformative tool for enhancing security and trust in financial services.
Murine Models in Oral Research: A Narrative Review of Experimental Approaches and Cardiovascular Implications
Authors: Elhaieg Asmaa , Farag Ahmed , Mandour Ahmed S. , Hirose Miki , Elfadadny Ahmed , Tanaka Ryou
Published: January 2025

Oral research using murine models spans a broad spectrum of studies, including investigations into oral infections such as periodontitis and peri-implantitis, wound healing, periodontal responses to orthodontic treatment, and occlusal overload. This review aims to provide a comprehensive overview of murine models employed in oral research, with a particular focus on their relevance in studying systemic implications, including cardiovascular diseases (CVDs). The objectives of this review are twofold: first, to highlight the diversity of experimental methods utilized in murine oral research, such as ligature placement, bacterial inoculation, surgical interventions, and mechanical manipulations; second, to explore how these models enhance our understanding of oral–systemic interactions. The findings demonstrate that murine models have significantly contributed to uncovering how oral conditions influence systemic health. Models of oral infections reveal pathways linking systemic inflammation, endothelial dysfunction, and atherogenesis, while studies on wound healing and mechanical stress offer valuable insights into periodontal tissue responses and regeneration under various conditions. These diverse findings underscore the versatility of murine models in addressing key questions across oral health research. By replicating human disease mechanisms, murine models serve as powerful tools for investigating the interplay between oral health and systemic diseases, including cardiovascular dysfunction. The insights gained from these models guide the development of integrated therapeutic approaches aimed at mitigating systemic inflammation and promoting periodontal regeneration.
Anti-Drug Antibody Response to Therapeutic Antibodies and Potential Mitigation Strategies
Authors: Howard Erin L. , Goens Melanie M. , Susta Leonardo , Patel Ami , Wootton Sarah K.
Published: January 2025

The development of anti-drug antibodies (ADAs) against therapeutic monoclonal antibodies (mAbs) poses significant challenges in the efficacy and safety of these treatments. ADAs can lead to adverse immune reactions, reduced drug efficacy, and increased clearance of therapeutic antibodies. This paper reviews the formation and mechanisms of ADAs, explores factors contributing to their development, and discusses potential strategies to mitigate ADA responses. Current and emerging strategies to reduce ADA formation include in silico and in vitro prediction tools, deimmunization techniques, antibody engineering, and various drug delivery methods. Additionally, novel approaches such as tolerogenic nanoparticles, oral tolerance, and in vivo delivery of therapeutic proteins via viral vectors and synthetic mRNA or DNA are explored. These strategies have the potential to enhance clinical outcomes of mAb therapies by minimizing immunogenicity and improving patient safety. Further research and innovation in this field are critical to overcoming the ongoing challenges of ADA responses in therapeutic antibody development.
A Comprehensive Review of Tubulointerstitial Nephritis and Uveitis (TINU) Syndrome
Authors: Bograd Alexandra , Heiligenhaus Arnd , Reuter Stefan , Tappeiner Christoph
Published: January 2025

Background: Tubulointerstitial nephritis and uveitis (TINU) syndrome is a rare autoimmune disorder, characterized by acute tubulointerstitial nephritis and uveitis. It poses diagnostic challenges due to the mostly asynchronous onset of renal and ocular manifestations, as well as the variety of differential diagnoses. This review provides an overview of the epidemiology, pathogenesis, clinical features, diagnostic criteria, and management strategies. Methods: A comprehensive review of the peer-reviewed literature, including studies and case reports, was conducted. Results: The etiology of TINU syndrome involves an autoimmune reaction to renal and ocular antigens, leading to interstitial inflammation and tubular damage in the kidneys, and anterior uveitis with acute onset of flares. Diagnostic criteria based on ocular examination, laboratory parameters, and renal biopsy emphasize the need to exclude other systemic diseases. TINU syndrome accounts for approximately 2% of all uveitis cases. Primary treatment consists of corticosteroids, while immunomodulatory therapies (methotrexate, azathioprine, mycophenolate mofetil, or biologic agents) are reserved for refractory cases. Recurrence of uveitis appears to be more common than that of nephritis. Conclusions: TINU syndrome is rare and requires clinical suspicion for accurate diagnosis. Early diagnosis and initiation of treatment are crucial for achieving favorable outcomes. Advances in the understanding of its pathogenesis and treatment have improved patient outcomes. Further research is needed to investigate the underlying triggers and mechanisms in order to develop targeted therapies.
An Integrated Approach Utilizing Single-Cell and Bulk RNA-Sequencing for the Identification of a Mitophagy-Associated Genes Signature: Implications for Prognostication and Therapeutic Stratification in Prostate Cancer
Authors: Zhang Yuke , Ding Li , Zhang Zhijin , Shen Liliang , Guo Yadong , Zhang Wentao , Yu Yang , Gu Zhuoran , Liu Ji , Kadier Aimaitiaji , Geng Jiang , Mao Shiyu , Yao Xudong
Published: January 2025

Introduction: Prostate cancer, notably prostate adenocarcinoma (PARD), has high incidence and mortality rates. Although typically resistant to immunotherapy, recent studies have found immune targets for prostate cancer. Stratifying patients by molecular subtypes may identify those who could benefit from immunotherapy. Methods: We used single-cell and bulk RNA sequencing data from GEO and TCGA databases. We characterized the tumor microenvironment at the single-cell level, analyzing cell interactions and identifying fibroblasts linked to mitophagy. Target genes were narrowed down at the bulk transcriptome level to construct a PARD prognosis prediction nomogram. Unsupervised consensus clustering classified PARD into subtypes, analyzing differences in clinical features, immune infiltration, and immunotherapy. Furthermore, the cellular functions of the genes of interest were verified in vitro. Results: We identified ten cell types and 160 mitophagy-related single-cell differentially expressed genes (MR-scDEGs). Strong interactions were observed between fibroblasts, endothelial cells, CD8+ T cells, and NK cells. Fibroblasts linked to mitophagy were divided into six subtypes. Intersection of DEGs from three bulk datasets with MR-scDEGs identified 26 key genes clustered into two subgroups. COX regression analysis identified seven prognostic key genes, enabling a prognostic nomogram model. High and low-risk groups showed significant differences in clinical features, immune infiltration, immunotherapy, and drug sensitivity. In prostate cancer cell lines, CAV1, PALLD, and ITGB8 are upregulated, while CLDN7 is downregulated. Knockdown of PALLD significantly inhibits the proliferation and colony-forming ability of PC3 and DU145 cells, suggesting the important roles of this gene in prostate cancer progression. Conclusions: This study analyzed mitophagy-related genes in PARD, predicting prognosis and aiding in subtype identification and immunotherapy response analysis. This approach offers new strategies for treating prostate cancer with specific molecular subtypes and helps develop potential biomarkers for personalized medicine strategies.
IDS Standard and bSDD Service as Tools for Automating Information Exchange and Verification in Projects Implemented in the BIM Methodology
Authors: Kładź Magdalena , Borkowski Andrzej Szymon
Published: January 2025

The era of openBIM is ongoing, and the open standards IDS (Information Delivery Specification) and bSDD (BuildingSMART Data Dictionary) are significantly impacting the automation of information exchange and verification in projects, using predefined data, enabling quick updates and combining it with other data. IDS and bSDD complement the widely used open IFC (Industry Foundation Classes) format, which solves the issue of purchasing both the appropriate hardware and software to work with native files from different sources. As a result, external assignments or internal tasks have the potential to precisely define the desired product, speeding up the entire process carried out according to the BIM (Building Information Modeling) methodology, reducing the number of questions about ambiguous requirements, and eliminating the need for continuous feedback on the model. Both files can be used on the developer’s side as an attachment to BIM documents, as well as on the construction site or during the bidding process. Digital IDS and bSDD files can be interpreted not only by humans but also by machines, bringing added value and usability. An identified research gap is the lack of a clear procedure for applying the mentioned standards, and thus, the common problem of purchasing software to check the quality of the model for information content. This article demonstrates the possibility of creating IDS and bSDD files in tools based on filling in specific fields and their interrelation, as well as their practical use in the process of verifying the information content of BIM models. By adopting open standards, teams can improve communication, increase productivity, and ensure continuity in data exchanges.
Investigation on Thermal Environment of Urban Slow Lane Based on Mobile Measurement Method—A Case Study of Swan Lake Area in Hefei, China
Authors: Li Mengyuan , Shui Taotao , Shi Linpo , Cao Ruxue
Published: January 2025

Numerous issues with the urban thermal environment have been brought on by the rapid development of urbanization. The thermal climate of the slow lane, a major urban activity area, is directly tied to the well-being and comfort of city dwellers. The Swan Lake area in Hefei was chosen as the research site for this paper. The mobile measurement method was used to determine the heat island intensity distribution of the slow lane in each season of the year. The effects of building density, the percentage of permeable underlying surface, and shading on the slow lane’s thermal environment were then thoroughly examined. According to the study, the distribution of heat island intensities along the mobile measurement route varies significantly depending on season, as well as time of year. Summer and winter have the most notable variations in the distribution of heat island intensities along the mobile measurement route; the summer values range from 0.1 to 4, while the winter values range from −0.3 to 3. The results showed a maximum difference of 30.2 °C in surface temperature (Ts) readings and 11.9 °C in air temperature (Ta) readings between the identical sites with and without shading, according to tests conducted at four typical mobile measurement locations along the mobile measuring route. The shading factor has a greater effect on the slow lane’s thermal environment than permeable underlying surface and building density, as seen by the standardized coefficient of shading being significantly higher than both of these factors. With a standardized coefficient of shading of −0.493 in the winter and a standardized coefficient of shading of −0.517 in the summer, the effect of the shading factor on the thermal environment is more noticeable in the summer.
Evolutionary Mechanism of Trust for Public–Private Partnership Projects with Public Participation
Authors: Zhang Wenjuan , Wang Yuanming , Li Enzhong , Zhang Chengyi , Li Huimin , Hada Srishti
Published: January 2025

Trust plays a pivotal role in sustaining cooperative relationships and serves as the cornerstone of successful cooperation among participants in public–private partnership (PPP) projects. A decline in trust can result in unethical behavior, fractured relationships, and even project failure. Despite its critical importance, there is an insufficiency of research exploring the evolutionary dynamics of trust, particularly from the perspective of public participation. To address this, an evolutionary game model is constructed to analyze the evolution of behavioral strategies and identify their stable state from a dynamic perspective. The model examines the influence of trust levels and public participation on cooperation, revealing that trust asymmetry negatively impacts collaborative outcomes in PPP projects. There is an optimal trust level: trust positively influences cooperation up to a certain peak, beyond which excessive trust becomes detrimental and hinders cooperative outcomes. When trust levels are equal, the selection of behavioral strategies is influenced by the initial willingness of participants. A threshold exists for this initial willingness, above which cooperation is more likely to succeed. Additionally, public participation is found to significantly enhance cooperation. These conclusions advance the theoretical advancements of trust in PPP projects and offer valuable insights for policymakers and stakeholders in addressing trust-related challenges, thereby fostering sustainable collaboration.
Critical Filling Height of Embankment over Soft Soil: A Three-Dimensional Upper-Bound Limit Analysis
Authors: Liu Xijun , Song Bokai , Sun Zhuanqin , Jiao Wenxiu
Published: January 2025

This paper investigates the critical filling height of embankments over soft soil using three-dimensional (3D) upper-bound limit analysis based on a rotational log-spiral failure mechanism. Soft soils are characterized by low shear strength and high compressibility, making the accurate determination of critical filling height essential for evaluating embankment stability. Unlike conventional two-dimensional (2D) analyses, the proposed 3D method captures the true failure mechanism of embankments, providing more realistic and reliable results. The upper-bound analysis equations are derived using the principle of virtual work and solved efficiently through the genetic algorithm (GA), which avoids the limitations of traditional loop and random searching algorithms. The proposed solution is validated by comparing it with existing studies on slope stability and demonstrates higher accuracy and computational efficiency. Parametric studies are conducted to evaluate the influence of the depth–height ratio (the ratio of soft soil depth to embankment height) on the failure width of the embankment, the critical failure surface, and the critical filling height. Results show that the critical failure surface is tangential to the bottom of the soft soil layer and the critical filling height increases as the depth–height ratio decreases. The findings provide a set of critical filling heights calculated under various soft soil depths, strength parameters, and embankment geometries, offering practical guidance for embankment design.
Numerical Modeling and Analysis of Steel Sheet Pile Cofferdams, Considering the Construction Sequence
Authors: Lv Guangdong , Liu Zhengrong , Yu Xiang , Zhang Fuhai , Meng Qingxiang , Hu Xiaojing
Published: January 2025

The construction of steel sheet pile cofferdams is a systematic project. Simplified construction sequences are widely used to facilitate the numerical modeling of cofferdams, while the mechanical behaviors of cofferdams with different construction sequences have yet to be understood. In the present study, finite element models of steel sheet pile cofferdams with different construction sequences were established, based on the temporary cofferdam of the Shenzhen–Zhongshan Link. The mechanisms of simplified construction sequences on bending moment were revealed by analyzing the displacements and contact press of steel sheet piles. The distribution of bending moment with elevation demonstrates the importance of the layered backfill process in numerical modeling. In addition, a finite element model of the cofferdam considering steady-state seepage was also established. The comparison of the hydrostatic pressure results and the bending moment results obtained by engineering experience and seepage analysis were discussed. The analysis results showed that the empirical method overestimated the maximum bending moment of the inner side of piles, which led to a more conservative design of the cofferdam. This work can serve as a reference for numerical modeling of steel sheet pile cofferdams and contribute to risk assessment in related engineering projects.
BRAF V600E and Non-V600E Mutations in RAS Wild-Type Metastatic Colorectal Cancer: Prognostic and Therapeutic Insights from a Nationwide, Multicenter, Observational Study (J-BROS)
Authors: Taniguchi Hiroya , Uehara Kay , Ishikawa Toshiaki , Okochi Osamu , Akazawa Naoya , Okuda Hiroyuki , Hasegawa Hiroko , Shiozawa Manabu , Kataoka Masato , Satake Hironaga , Shimura Takaya , Kondoh Chihiro , Kuramochi Hidekazu , Matsumoto Toshihiko , Takegawa Naoki , Yamaguchi Toshifumi , Nagase Michitaka , Nakamura Masato , Takano Nao , Fujita Hideto , Watanabe Takanori , Nishina Tomohiro , Sakamoto Yasuhiro , Moriwaki Toshikazu , Ohori Hisatsugu , Nakanishi Masayoshi , Kito Yosuke , Utsunomiya Setsuo , Ishikawa Takeshi , Manaka Dai , Matsuoka Hiroshi , Suto Takeshi , Arai Toshiyuki , Shinzaki Shinichiro , Funakoshi Tohru , Nakayama Goro , Negoro Yuji , Tsuji Yasushi , Makiyama Akitaka , Takuma Kunio , Arimoto Atsuki , Shinozaki Katsunori , Mishima Ayako , Masuishi Toshiki
Published: January 2025

Background/Objectives: BRAF mutations occur in 5–10% of metastatic colorectal cancer (mCRC) cases, but their implications for prognosis and optimal treatment remain unclear. Methods: This multicenter, prospective observational study analyzed 377 RAS wild-type cases from 511 patients across 32 centers, using PCR-based methods. Results: BRAF mutations were identified in 21% (79/377) of cases, predominantly V600E (89.9%) with a minority of non-V600E (10.1%). Microsatellite instability (MSI) testing revealed MSI-high in 11.3%, exclusively among V600E cases. V600E mutations were linked to right-sided tumors, poor differentiation, and elevated CA19-9 levels. Median survival was significantly lower in V600E cases compared to BRAF wild-type (12.4 vs. 37.5 months, HR 3.25, p < 0.001) and marginally lower non-V600E cases (12.4 vs. 34.7 months, HR 0.61, p = 0.057). Chemotherapy regimens (doublet vs. triplet) and targeted treatments (bevacizumab vs. anti-EGFR) showed no significant survival differences in V600E patients. Similarly, RAS/BRAF wild-type patients had comparable survival with bevacizumab versus anti-EGFR, even for left-sided tumors. Conclusions: These findings highlight distinct clinical and prognostic profiles for BRAF V600E and non-V600E mutations, while treatment choice appears to have limited impact on survival in these subgroups or RAS/BRAF wild-type cases.
Principles of Surgical Treatment of Soft Tissue Sarcomas
Authors: Gonzalez Marcos R. , Mendez-Guerra Carolina , Goh Megan H. , Pretell-Mazzini Juan
Published: January 2025

Soft tissue sarcoma (STS) is a group of highly heterogeneous tumors of mesenchymal origin that have variable primary site locations and clinical behavior. Despite the broad diversity of STS, the standard of care involves surgical resection with or without radiation therapy (RT) to control local recurrence and systemic treatment in select cases. The complexities of STS require a critical understanding of the preoperative work-up process, surgical treatment, and postoperative management. Advanced imaging plays a vital role in the characterization of the soft tissue mass, preoperative biopsy planning, and disease staging. Surgical treatment prioritizes wide resection with negative margins, supported by newer margin classification systems for better prognosis. Further, advancements in surgical technique have enabled limb-salvage surgery to largely replace amputation in the management of these tumors. Additional surgical considerations, such as nerve preservation, vascular reconstruction, and complex tissue closure, further highlight the complexity of STS management. Lastly, postoperative follow-up is critical for the early detection of local or distant recurrences. For complex cases, such as unplanned excisions or invasive tumors, strategies like re-resection may be beneficial. Ongoing research into imaging, chemotherapy, and targeted therapies will further refine management strategies, especially in complex and recurrent cases. This review highlights the essential aspects of STS surgical management and underscores the need for coordinated, multidisciplinary care to enhance both survival and quality of life for affected patients.
Brain Metastasis in Endometrial Cancer: A Systematic Review
Authors: Sambataro Daniela , Gebbia Vittorio , Bonasera Annalisa , Quattrocchi Andrea Maria Onofrio , Caputo Giuseppe , Vinci Ernesto , Di Mattia Paolo , Lavalle Salvatore , Pecorino Basilio , Scandurra Giuseppa , Scibilia Giuseppe , Centonze Danilo , Valerio Maria Rosaria
Published: January 2025

Background: Brain metastases (BMs) from endometrial cancer (EC) are rare and challenging to treat, with limited standardized guidelines. This systematic review aims to evaluate the incidence, therapeutic strategies, and outcomes associated with brain metastases in EC patients, offering insights for clinical practice and future research. Methods: A comprehensive literature search was conducted using PRISMA guidelines, including PUBMED up to October 2024. Reports reporting individual or aggregate data on EC brain metastases were included. Descriptive and quantitative analyses were performed on incidence, treatment modalities, and survival outcomes. Three reports that used data from the Surveillance, Epidemiology, and End Results and National Cancer Database were used only to assess the incidence of brain metastases from endometrial carcinoma. Results: From 911 reports identified, we included 99 reports, identifying 594 cases; these and the case of a patient with brain metastasis from endometrial carcinoma followed at our center were used for analysis of disease characteristics; incidence; and treatment modalities, such as surgery, radiotherapy, chemotherapy, and combinations. Survival outcomes were influenced by treatment type and disease characteristics, with multimodal approaches showing improved outcomes. Discussion: This review underscores the rarity of EC brain metastases and highlights the need for tailored, multimodal treatment strategies. Future research should focus on prospective trials and molecular profiling to optimize management.
Patient-Derived Organoid Models for NKT Cell-Based Cancer Immunotherapy
Authors: Palacios Pablo A. , Flores Iván , Cereceda Lucas , Otero Francisco F. , Müller Marioly , Brebi Priscilla , Contreras Héctor R. , Carreño Leandro J.
Published: January 2025

Invariant Natural Killer T (iNKT) cells are a unique subset of T cells that bridge innate and adaptive immunity, displaying potent anti-tumor properties through cytokine secretion, direct cytotoxicity, and recruitment of immune effector cells such as CD8+ T cells and NK cells. Despite their therapeutic potential, the immunosuppressive tumor microenvironment (TME), characterized by regulatory T cells, myeloid-derived suppressor cells (MDSCs), and tumor-associated macrophages (TAMs), limits iNKT cell efficacy. Patient-derived organoid (PDO) platforms provide an innovative model for dissecting these complex interactions and evaluating strategies to reinvigorate iNKT cell functionality within the TME. PDOs closely mimic the genetic, phenotypic, and structural characteristics of primary tumors, enabling the study of tumor–immune dynamics. Integrating iNKT cells into PDOs offers a robust platform for investigating CD1d-mediated interactions, Th1-biased immune responses driven by glycolipid analogs like α-GalCer, and combination therapies such as immune checkpoint inhibitors. Additionally, PDO systems can assess the effects of metabolic modulation, including reducing lactic acid accumulation or targeting glutamine pathways, on enhancing iNKT cell activity. Emerging innovations, such as organoid-on-a-chip systems, CRISPR-Cas9 gene editing, and multi-omics approaches, further expand the potential of PDO–iNKT platforms for personalized immunotherapy research. Although the application of iNKT cells in PDOs is still undeveloped, these systems hold immense promise for bridging preclinical studies and clinical translation. By addressing the challenges of the TME and optimizing therapeutic strategies, PDO–iNKT platforms offer a transformative avenue for advancing cancer immunotherapy and personalized medicine.
Unique Molecular Alteration of Lobular Breast Cancer: Association with Pathological Classification, Tumor Biology and Behavior, and Clinical Management
Authors: Zhang Huina , Peng Yan
Published: January 2025

Invasive lobular carcinoma (ILC), accounting for up to 15% of diagnosed breast cancers, has garnered significant attention due to the loss of the epithelial cell–cell adhesion molecule E-cadherin. This loss contributes to its distinct biological, morphological, and clinical characteristics compared to non-lobular breast cancers. The use of immunohistochemistry (IHC) for E-cadherin and/or the associated cadherin–catenin complex, such as p120-catenin and beta-catenin, in morphologically equivocal cases, has been increasingly adopted in pathology practice. This approach has substantially improved diagnostic accuracy, interobserver reproducibility, and the identification of new morphologic variants of ILC. ILCs exhibit unique tumor biology, which presents considerable challenges in clinical management, especially in preoperative imaging evaluation, surgical management, and neoadjuvant treatment. Recent advances in translational and clinical research have enhanced our understanding of ILC and have spurred the development of new clinical trials specifically targeting these cancers. This review highlights recent progress in various aspects of ILC, including its unique molecular alteration, pathological classification and diagnostic approach, tumor biology and behavior, key clinical management challenges, and ongoing clinical trials, as well as the role of artificial intelligence in diagnosing ILC radiologically and pathologically. The goal of this review is to provide an updated understanding of the tumor biology, clinical manifestations, and molecular landscape of ILC and to help refine current tumor classification and diagnosis, subsequently improving management strategies and overall outcomes for lobular carcinoma patients.
Latest Advancements in the Management of H3K27M-Mutant Diffuse Intrinsic Pontine Glioma: A Narrative Review
Authors: Lo Greco Maria Chiara , Marano Giorgia , La Rocca Madalina , Acquaviva Grazia , Milazzotto Roberto , Liardo Rocco Luca Emanuele , Basile Antonio , Foti Pietro Valerio , Palmucci Stefano , David Emanuele , Parisi Silvana , Pontoriero Antonio , Pergolizzi Stefano , Spatola Corrado
Published: January 2025

Despite recent advancements in radiotherapy for Diffuse Intrinsic Pontine Glioma (DIPG), the prognosis of this disease remains poor, highlighting the need for new treatment strategies to improve outcomes. Adding stereotactic biopsy to the diagnostic process for children with DIPG has been crucial in improving the management of this disease. Indeed, the discovery of the H3K27M mutation as a key driver of DIPG has led to the development of new drugs that are more effective than traditional ones. These include nimotuzumab (an anti-EGFR drug) and vinorelbine (a semisynthetic vinca alkaloid) in combination, Panobinostat (a histone deacetylase inhibitor), ONC201 (a drug that blocks the dopamine receptor D2 and inactivates Akt and ERK kinases), and chimeric antigen receptor (CAR) T cells. In terms of local therapy, identifying the H3K27M mutation can help us explore how genetic changes affect treatment response, recurrence patterns, and survival. Beyond the time to first recurrence, specific patterns of tumor recurrence, like leptomeningeal spread, can influence treatment plans. For example, radiotherapy can be adjusted in terms of doses and volumes, based on tumor aggressiveness. Because the H3K27M mutation is linked to higher malignancy, a slightly higher dose could be used for the second round of local irradiation. Additionally, irradiating the entire craniospinal axis could help control both local and leptomeningeal disease.