bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient‐derived ovarian cancer organoid carries immune microenvironment and blood vessel keeping high response to cisplatin
Authors: Zhao Yuqing , Wang Chen , Deng Wei , Li Lanyang , Liu Jiping , Shi Yanghua , Tao Xiang , Zhang Jian , Cao Qi , Cai Chunhui , Han Xinxin 
Published: August 2024

AbstractOvarian cancer is high recurrence and mortality malignant tumor. The most common ovarian cancer was High‐Grade Serous Ovarian Cancer. However, High‐Grade Serous Ovarian Cancer organoid is rare, which organoid with patient immune microenvironment and blood vessels even absence. Here, we report a novel High‐Grade Serous Ovarian Cancer organoid system derived from patient ovarian cancer samples. These organoids recapitulate High‐Grade Serous Ovarian Cancer organoids' histological and molecular heterogeneity while preserving the critical immune microenvironment and blood vessels, as evidenced by the presence of CD34+ endothelial cells. Whole exome sequencing identifies key mutations (CSMD3, TP53, GABRA6). Organoids show promise in testing cisplatin sensitivity for patients resistant to carboplatin and paclitaxel, with notable responses in cancer proteoglycans and p53 (TP53) signaling, like ACTG/ACTB1/AKT2 genes and BBC3/MDM2/PERP. Integration of immune microenvironment and blood vessels enhances potential for novel therapies like immunotherapies and angiogenesis inhibitors. Our work may provide a new detection system and theoretical basis for ovarian cancer research and individual therapy.
Metagenomic Analysis Reveals Large‐Scale Disruptions of the Gut Microbiome in Parkinson's Disease
Authors: Metcalfe‐Roach Avril , Cirstea Mihai S. , Yu Adam C. , Ramay Hena R. , Coker Olabisi , Boroomand Seti , Kharazyan Faezeh , Martino Davide , Sycuro Laura K. , Appel‐Cresswell Silke , Finlay B. Brett 
Published: August 2024

AbstractBackgroundParkinson's disease (PD) has been consistently linked to alterations within the gut microbiome.ObjectiveOur goal was to identify microbial features associated with PD incidence and progression.MethodsMetagenomic sequencing was used to characterize taxonomic and functional changes to the PD microbiome and to explore their relation to bacterial metabolites and disease progression. Motor and non‐motor symptoms were tracked using Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS‐UPDRS) and levodopa equivalent dose across ≤5 yearly study visits. Stool samples were collected at baseline for metagenomic sequencing (176 PD, 100 controls).ResultsPD‐derived stool samples had reduced intermicrobial connectivity and seven differentially abundant species compared to controls. A suite of bacterial functions differed between PD and controls, including depletion of carbohydrate degradation pathways and enrichment of ribosomal genes. Faecalibacterium prausnitzii‐specific reads contributed significantly to more than half of all differentially abundant functional terms. A subset of disease‐associated functional terms correlated with faster progression of MDS‐UPDRS part IV and separated those with slow and fast progression with moderate accuracy within a random forest model (area under curve = 0.70). Most PD‐associated microbial trends were stronger in those with symmetric motor symptoms.ConclusionWe provide further evidence that the PD microbiome is characterized by reduced intermicrobial communication and a shift to proteolytic metabolism in lieu of short‐chain fatty acid production, and suggest that these microbial alterations may be relevant to disease progression. We also describe how our results support the existence of gut‐first versus brain‐first PD subtypes. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Contraction and expansion of a cylindrical cavity in an elastoplastic medium: A dislocation‐based approach
Authors: Gao Yue , Detournay Emmanuel 
Published: August 2024

AbstractThe contraction or expansion of a cylindrical cavity in an elastoplastic medium is usually analyzed from a continuum based approach with a plasticity constitutive model. However, localized deformations, which are rooted in the post‐failure softening response of geomaterials, are observed in the form of spiral‐shaped fractures in laboratory tests. An alternative approach based on dislocation theory is introduced in this paper for modeling cavity contraction or expansion. In this model, several equally spaced spiral‐shaped shear fractures initiate and propagate away from the cavity within the linearly elastic medium. The Mohr‐Coulomb criterion and a dilatancy rule are imposed on the shear fractures to constrain the stresses and the displacement jumps. The direction of fracture propagation is determined by minimizing plastic dissipation. The displacement discontinuity method is used to discretize the shear and normal displacement jumps along the fracture and solve the problem numerically. The calculated crack path follows a logarithmic‐like spiral, similar to the slip lines predicted by plasticity theory. The relationship between the pressure and radial displacement at the cavity boundary converge towards the classical elastoplastic solution as the number of fracture branches increases.
Spindle cell squamous cell carcinoma of the maxillary sinus as a metachronous head and neck cancer
Authors: Shima Kaori , Shimojukkoku Yudai , Hijioka Hiroshi , Ishihata Kiyohide , Sasahira Tomonori 
Published: August 2024

AbstractBackgroundSpindle cell squamous cell carcinoma (SpSCC) is a rare subtype of squamous cell carcinoma (SCC) showing an unfavorable prognosis. Histologically, SpSCC shows biphasic proliferation of spindle cells and nests of SCC.Case presentationAn 85‐year‐old Japanese man with a medical history of oral SCC three years ago had SpSCC of the right maxillary sinus. The tumor showed aggressive proliferation of spindle cells with nests of conventional SCC. Subsequent lymph node metastases revealed findings of conventional SCC.ConclusionThis case report contributes to the accumulation of a rare subtype of SCC and multiple cancers of the head and neck region.
Augmented Reality‐Guided Frozen Section Analysis: Bringing the Pathologist From the Laboratory to the Operating Room
Authors: Aweeda Marina , Huang Liyu , Perez Alexander N. , Ely Kim A. , Mehrad Mitra , Lewis James S. , Topf Michael C. 
Published: August 2024

AbstractDue to the anatomic complexity of the head and neck and variable proximity between laboratory and operating room (OR), effective communication during frozen section analysis (FSA) between surgeons and pathologists is challenging. This proof‐of‐concept study investigates an augmented reality (AR) protocol that allows pathologists to virtually join the OR from the laboratory. Head and neck cancer specimens were scanned ex vivo using a 3‐dimensional scanner and uploaded into an AR platform. Eight head and neck specimens were discussed by surgeons and pathologists in an AR environment. AR‐guided intraoperative consultation was used for specimen orientation and discussion of FSA margin sampling sites. One patient had positive initial margins on FSA and was re‐resected to negative final margins. AR‐guided FSA is possible and allows pathologists to join the operating from any location for intraoperative discussion.
Design of novel electrochemical sensor functionalized with green nanoparticles for tetracycline monitoring
Authors: Elamin Manahil Babiker 
Published: August 2024

AbstractIncreasing the release of antibiotics in particular tetracycline in the environment is become one of the most concerns that threat human and animals' health. Regarding their low cost, sensitivity, portability, electrochemical sensors have received attention for tetracycline monitoring. With a nanostructure, diverse active functional sites, and good conductivity, green nanoparticles are considered now as an attractive material for sensors design. The objective of the present paper is then the design of electrochemical sensor functionalized with green nanoparticles based on gum Arabic for tetracycline detection. The green nanoparticles are synthesized by direct reduction of silver nanoparticle with gum Arabic polymer. The intrinsic properties of the obtained nanoparticles are examined using different techniques namely UV–Vis absorption (UV), X‐ray diffraction (XRD), transmission electron microscopy (TEM), and thermogravimetric TGA. To follow up, the sensor modification as well as tetracycline detection, cyclic voltammetry (CV) and square wave voltammetry are carried out. Correlation between the different results have demonstrated good dispersion and homogeneity of green nanoparticles, with good applicability in electrochemical measurements. In fact, the sensor has demonstrated wide concentrations range from 0.1 to 1250 nM with a limit of detection in the order of 0.056 nM, lower than those reported in the literature. The selectivity test, investigated against a various interfering with similar structure to tetracycline, have proven a good discrimination between all molecules. In addition, the sensor was successfully applied to real samples, and the found recovery rates are ranging from 90.4% to 106.9%. The obtained results confirm that green nanoparticles based on gum Arabic could commercially be viable for next generation of electrochemical sensor for tetracycline detection, and also could be applied for the detection of the variety of pharmaceutical pollutants in the environment.
Carbon tube‐gypsum reinforced polypropylene: Impact resistance, thermal stability
Authors: Li Jiaqian , Wang Hongquan , Shen Xiaojun , Mei Wantian , Chen Gang , Zhou Feng 
Published: August 2024

AbstractThis study investigated the effect of multi‐walled carbon nanotubes (MWCNTs) and reclaimed gypsum of varying contents on the mechanical properties and thermal stability of polypropylene (PP) composite materials. The results indicated that the incorporation of reclaimed gypsum and MWCNTs powder into PP composites could enhance the tensile strength, impact strength, and bending modulus of PP to a certain extent. The above properties of AGY/MWCNTs/PP composites were increased by 14.6%, 131.8%, and 36.2%, respectively, with the impact properties being significantly affected. Univariate analysis of variance revealed that MWCNTs powder and recycled gypsum exerted a significant impact on the mechanical properties of polypropylene composites. Moreover, the initial weight loss temperature of AGY/MWCNTs/PP demonstrated a notable increase, from 318.71 to 398.48°C, while the maximum weight loss temperature exhibited a comparable rise, from 406.85 to 461.54°C.Highlights
The impact performance and thermal stability of polypropylene composite materials have been demonstrably augmented.
A synergistic effect between reclaimed gypsum and multi‐walled carbon nanotubes in the reinforcement of polypropylene composites was demonstrated.
This provides a theoretical framework and practical guidance for the design and preparation of high‐performance and recyclable polymer composites.
A review of proton pump inhibitor use in cystic fibrosis and considerations for deprescribing
Authors: Omecene Nicole E. , Wilcox Nicole , Cox Alexandra L. , Ham Pearl , Ong Ryan , Barber Andrew T. , Zimmerman Kristin M. 
Published: August 2024

AbstractUse of proton‐pump inhibitors (PPIs) is common among people with cystic fibrosis (pwCF) both for the management of suspected GERD, as well as pancreatic enzyme replacement therapy augmentation. Despite their use, limited data exist to demonstrate a clinically significant impact of PPIs on key endpoints in pwCF. Furthermore, the advent of cystic fibrosis transmembrane conductance regulator (CFTR) modulator therapy may modify the need for use. These notions, coupled with the potential for adverse outcomes associated with long‐term PPI use in pwCF, should facilitate re‐evaluation of long‐term PPI use in pwCF and promote potential deprescribing. Despite limited data on PPI deprescribing in pwCF, it intuitively mirrors the existing guidance in adults in the general population, but with added consideration given to tapering strategy, and monitoring for CF‐specific outcomes such as nutritional and respiratory status. The development of a monitoring and re‐initiation plan is key to reducing deprescribing inertia. This review aims to summarize the evidence that details the concern for long‐term use of PPIs and provide CF clinicians with rationale and guidance on how to approach deprescribing in their practice.
Vasodilators for persistent pulmonary hypertension of the newborn: A network meta‐analysis
Authors: Luo Keren , Tang Jun , Chen Hongju , Zhang Xinyu , Wang Haoran 
Published: August 2024

AbstractObjectivesTo compare the efficacy and safety of different vasodilators in the treatment of persistent pulmonary hypertension of the newborn (PPHN) by a Bayesian network meta‐analysis.MethodsWe searched databases (Cochrane, PubMed, Embase, and Web of Science) from January, 1990 up to December, 2023. Randomized controlled trials on the use of vasodilators in the treatment of PPHN. We extracted details of population, intervention, and outcome indicators. R and STATA software were used for data analysis. Sixteen articles were included, encompassing 776 neonates with PPHN. Among them, 12 articles were included in the quantitative analysis. The vasodilators included Sildenafil, Bosentan, Milrinone, Magnesium, Adenosine, and Tadalafil.ResultsThe Bayesian network meta‐analysis results suggested that compared to placebo, Milrinone [OR = 0.125, 95% CI (0.0261, 0.562)], Sildenafil [OR = 0.144, 95% CI (0.0428, 0.420)], and Sildenafil_Milrinone [OR = 0.0575, 95% CI (0.00736, 0.364)] reduced the mortality, but the difference among the three was not significant. There was also no significant difference in the incidence of hypotension, the duration of mechanical ventilation, and the use of extracorporeal membrane oxygenation among the vasodilators. Compared to Bosentan, Adenosine was more effective in reducing the oxygenation index [MD = −12.78, 95% CI (−25.56, −0.03)], and Magnesium was less effective in reducing the oxygenation index than Sildenafil [MD = 5.19, 95% CI (1.23, 9.2)].ConclusionsMilrinone, Sildenafil, and Sildenafil_Milrinone reduced the mortality of neonates with PPHN. More clinical trials are needed to verify the efficacy and safety of vasodilators in the treatment of PPHN.
Bioactive peptides inhibit feeding activity in the grey garden slug, Deroceras reticulatum
Authors: Choi Man‐yeon , Price Briana , Hafeez Muhammad , Martin Ruth , Richart Casey , Donnell Rory Mc 
Published: August 2024

AbstractBACKGROUNDThe grey garden slug (Deroceras reticulatum) is considered the most damaging slug pest in global agriculture. Control methods primarily rely on chemical pesticides, which pose environmental risks and potential hazards to human health. There is a need for sustainable management alternatives such as biologically‐based slug control options. However, the efficacy of nonchemical measures for controlling pest slug populations remains limited, particularly in the context of variable outdoor conditions. Neuropeptides and their corresponding receptors have been proposed as promising biological targets for the development of new pest management strategies.RESULTSA total of 23 bioactive peptides belonging to the PRX family, previously identified from the grey garden slug, D. reticulatum, were injected into or fed to this species. The detrimental effects of these peptides, including a reduction in body weight and an inhibition of feeding activity, were evaluated in feeding choice tests with D. reticulatum. Furthermore, the bioactive peptide formulated with a lipid particle demonstrated a feeding deterrent effect. One of the myomodulin (MM) peptides, APPLPRY, demonstrated a significant reduction in feeding activity, resulting in a reduction in slug weight or mortality in just 30 min.CONCLUSIONThe results represent the first evidence of a bioactive peptide having detrimental effects on D. reticulatum including causing feeding deterrent for this slug pest. The in vivo results provide insights into the potential development of active ingredients for managing slugs in the field. © 2024 Society of Chemical Industry.
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
Authors: Yuan Yongliang , Yang Qingkang , Wang Guohu , Ren Jianji , Wang Zhenxi , Qiu Feng , Li Kunpeng , Liu Haiqing 
Published: August 2024

AbstractAccurate prediction of the engine's remaining useful life (RUL) is essential to ensure the safe operation of the aircraft because. However, traditional deep‐learning based methods for RUL prediction has been limited by interpretability and adjustment for hyperparameters in practical applications due to the intricate potential relations during the degradation process. To address these dilemmas, an improved multi‐strategy tuna swarm optimization‐assisted graph convolutional neural network (IMTSO‐GCN) is developed to achieve RUL prediction in this work. Specifically, mutual information is used to describe potential relationships among measured parameters so that they could be utilized in building edges for these parameters. Besides, considering that not all relational nodes will positively affect the RUL prediction and the inherent hyperparameters of the GCN are high‐dimensional. Inspired by “No Free Lunch (NFL)”, IMTSO is proposed to reduce the optimization cost of hyperparameters, in which cycle chaotic mapping is employed to achieve initialization of the population for improving the uniformity of the initial population distribution. Besides, a novel adaptive approach is proposed to enhance the exploration and exploitation of tuna swarm optimization (TSO). The CMAPSS dataset was used to validate the effectiveness and advancedness of IMTSO‐GCN, and the experimental results show that the R2 of the IMTSO‐GCN is greater than 0.99, RMSE is less than 3, the Score error is within 1.
Computationally Effective Approach for Studies of Mechanism and Thermodynamics of Heterogeneous Catalytic Processes on Metal Oxides
Authors: Ragoyja Ekaterina G. , Matulis Vitaly E. , Ivashkevich Oleg A. , Lyakhov Dmitry A. , Michels Dominik 
Published: August 2024

ABSTRACTTo understand the nature of heterogeneous catalytic processes and improve their efficiency, it is necessary to conduct both experimental and theoretical studies. At the same time, there is no unified approach to obtaining the necessary data using quantum chemistry methods. In this work, problems of the existing calculational approaches are analyzed. The obtained information is used to develop the original three‐layer embedded cluster model approach, which is shown to be the most effective. The general algorithm for obtaining such models for various oxides is formulated. The sufficient accuracy of the proposed models in predicting geometric and energy characteristics, vibrational frequencies, activation barriers, and thermodynamic characteristics is verified. The specifics of calculating the thermodynamic characteristics of heterogeneous processes using the proposed cluster models is studied in detail. The developed approach is an effective tool for studying the mechanism of heterogeneous catalytic processes both by itself and in combination with experiment.
Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage
Authors: Wang Qiang , Zhang Fuyu , Li Rongrong 
Published: August 2024

AbstractThis study explores the impact of artificial intelligence (AI) on sustainable development across 51 countries during urbanization. Using panel data, the study examines AI's effects on sustainable development through three dimensions: R&D innovation, infrastructure, and market advantage. The results demonstrate that AI promotes sustainable development, with AI R&D innovation exerting the strongest influence, followed by AI infrastructure, whereas AI market advantage has the smallest impact. Additionally, the study uncovers regional heterogeneity in AI's impacts. In countries with upper middle sustainable development levels (60%–70% quantiles), AI's promoting effect is the strongest. Moreover, urbanization plays a threshold role in the relationship between AI and sustainable development. When urbanization is below the threshold, AI infrastructure and R&D innovation promote sustainable development, whereas AI market advantage inhibit it. Conversely, when urbanization exceeds this threshold, AI infrastructure inhibits sustainable development, the impact of AI R&D innovation becomes insignificant, and AI market advantage begin to promote sustainable development. This study recommends governments should consider the level of urbanization and sustainable development when crafting sustainable development policies utilizing AI.
The role of green finance to achieve sustainability through green supply chain management and innovative technologies
Authors: Kholaif Moustafa Mohamed Nazief Haggag Kotb , Tang Xinmeng 
Published: August 2024

AbstractThis study investigates the impact of green finance (GF) on sustainable development and green supply chains, particularly in the context of the COVID‐19 pandemic. It explores how GF influences firms' economic, environmental, and social sustainability, with a focus on the moderating effects of modern technologies like big data analytics (BDA) and blockchain. The research is based on data collected from 562 managers in Egypt's industrial and manufacturing sectors through a survey conducted between November 18th, 2023, and January 12th, 2024. The survey, which used a five‐point Likert scale, was distributed via both traditional and electronic methods, and its reliability was ensured through a pilot phase involving seven academics and five SC practitioners. The data was analyzed using partial least squares structural equation modeling, chosen for its effectiveness with non‐normal data distributions. The Bootstrapping method with 5000 iterations was employed to validate the model. The findings reveal that GF significantly enhances green supply chain management (GSCM), particularly when moderated by BDA, though blockchain technology does not have a significant moderating effect. Additionally, GSCM is found to positively influence the environmental and social dimensions of sustainable development, mediating the relationship between GF and these sustainability outcomes. This study provides valuable insights for practitioners and policymakers, emphasizing the critical role of GF and BDA in fostering sustainable development, especially within the Egyptian industrial and manufacturing sectors.
Application Properties of Gemini Quaternary Ammonium Salt with Quadra‐cationic Sites and Sodium Fatty Alcohol Polyoxyethylene Ether Carboxylate Mixed Systems
Authors: Li Jun , Wang Yakui , Zhao Yongjie , Wang Zhifei , Ju Hongbin , Zhang Lu , Yue Danwei , Yoong Junhao , Jiang Yajie 
Published: August 2024

AbstractThe application properties such as foam property, electrolyte tolerance, antibacterial activity and antistatic performance of the mixed systems of a novel Gemini quaternary ammonium salt with quadra‐cationic sites (TC‐GS) and sodium fatty alcohol polyoxyethylene ether carboxylate (AE9CNa) at various molar fraction of TC‐GS (αTC‐GS), were investigated systematically. Results show that TC‐GS/AE9CNa mixed systems with different ratios form a homogeneous and transparent solution, which exhibits excellent foam stability and antibacterial activity. The foam volume of the mixed system remains nearly constant from 400 s to 1000 s, and even when TC‐GS is 10 mg/L in the mixed systems, the antibacterial rates against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) for 2 min. are all exceeded 99 %. The mixed systems of TC‐GS/AE9CNa at various αTC‐GS also demonstrate the superior electrolyte tolerance, their maximum tolerance of NaCl, CaCl2 and MgCl2 is severally beyond 270 g/L, 180 g/L and 180 g/L. In addition, both TC‐GS solution and the mixed systems have good antistatic properties, which can reduce the surface resistance of polyester fabric to ≤1010 Ω.