bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biodistance Analysis via Dental Phenotypic Diversity in Early Collective Burials at Cerro Juan Díaz, Panamá (30–650 CE) [Análisis de Biodistancia Mediante la Diversidad Fenotípica Dental en los Entierros Colectivos Tempranos del Cerro Juan Díaz, Panamá (30–650 EC)]
Authors: Smith‐Guzmán Nicole E. , Smid Núñez Jeny , Cybulski Jonathan D. , Sánchez Herrera Luis A. 
Published: December 2024

ABSTRACTObjectivesBurial space reuse and prolonged interaction with the dead were common practices in the Isthmo‐Colombian Area, dating back to at least the Early Ceramic Period in the Greater Coclé region. However, biological and social relationships of individuals interred in collective burial contexts remain unclear. Here, we explore intra‐cemetery biological variation through a biological distance analysis of individuals interred in large mortuary features from the first mortuary horizon at the site of Cerro Juan Díaz in Panamá.Materials and MethodsIndividuals recovered from Features 2, 16, and 94 from Operation 3 at Cerro Juan Díaz were assessed for dental metric and nonmetric traits. Biological distances were calculated through Gower coefficients and subsequently assessed visually with PCoA plots. Differences in phenotypic variability within burial feature (n = 26), age (postpubescent individuals aged 15+ years vs. prepubescent individuals; n = 27), and sex (n = 14) groupings were evaluated statistically via permutational multivariate analysis of variance (PERMANOVA) and PERMDISP tests.ResultsThe estimated distances for each individual showed broad similarities between the three burial features. Significant differences in biological distance were found only when comparing by age. Gower coefficients for prepubescent individuals differed from those of postpubescent individuals in terms of both group centroid location and data point dispersion around centroids.DiscussionOur results are largely consistent with previous notions of Cerro Juan Díaz's function as a community burial ground. Prepubescent individuals may have been brought to the site for burial from nearby villages, perhaps following specific mortuary traditions governed by age group.
A Numerical Simulation Study on Condensation Heat Transfer Performance of Serrated Spiral‐Finned Tube
Authors: Jin Kelang , Liu Xiang , Zhang Lei , Xue Xue , Zhou Hao 
Published: December 2024

ABSTRACTSerrated spiral‐finned tubes have been extensively applied in heat exchangers, but the main research on them is about sensible heat transfer processes and only a few studies focus on condensation behavior. In this research, a model of mass and heat transfer about condensation of water vapor on the outside tube surfaces is developed by Fluent combined with a user‐defined function. The effects of different finned tube geometrical parameters are investigated. The model's reliability is verified by experiments on smooth tubes. The model is applied to finned tubes with different structures. A simple evaluation index about the dimensionless condensation rate , the dimensionless heat transfer factor j, and the resistance factor f is used to assess the comprehensive heat transfer performance of these finned tubes. The simulation results reflect that the increase of the base tube's outer diameter could enhance the comprehensive heat transfer performance, whereas the increase of the height and width of the open tooth will weaken the comprehensive condensation heat transfer performance to a different degree. Finally, the correlation equations of Nu, Eu, and dimensionless condensation rate with wet air flow rate, water vapor content, base tube's outer diameter, and height and width of the open tooth are fitted, the deviations of Nu are not more than 5%, and the relative deviations of and Eu could satisfy that 93% of the data is within 30%. Then, the finned tube geometry with optimal integrated condensation heat transfer performance ( = 23 mm,  = 6 mm, w = 2.97 mm) is obtained.
Effect of Supercritical Carbon Dioxide Treatment on Physical Properties of Polypropylene Films
Authors: Liu Shiheng , Shi Rongxi , Yang Yang , Li Lu , Wang Guohua 
Published: December 2024

ABSTRACTSupercritical carbon dioxide (ScCO2) is becoming an important “green” solvent, primarily due to its low toxicity, recyclability, and environmental sustainability compared with conventional organic solvents. Recent advancements in large‐scale manufacturing technology have made ScCO2 increasingly feasible and attractive for a wide range of industrial applications, such as foaming and coffee extraction. In this paper, we investigate the physical properties of commercial polypropylene (PP) mono‐oriented films after treatment with ScCO2. We have observed a remarkable increase of over 40% in elongation at break and a 30% increase in tensile strength along the machine direction (MD) concurrently, a rather unusual phenomenon. Additionally, the smoothness of the film surface is significantly enhanced. Various studies have been conducted to uncover the underlying mechanism. The newly formed γ‐crystal structure may contribute to the improved mechanical properties along the MD. Other important contributing factors may include increased free volume and chain relaxation resulting from the ScCO2 treatment. These findings hold considerable promise for various industrial applications, thanks to the low cost, simplicity, scalability, and environmental benefits associated with the ScCO2 treatment process.
Effects of Fluorescent Tracer Additives on PET During Material Recycling
Authors: Auer Maximilian , Schmidt Jannick , Woidasky Jörg 
Published: December 2024

ABSTRACTThe material properties and stable chemical structure of PET make it a frequently used polymer, for example, for packaging applications, and allow multiple recycling processes. Fluorescent tracer additives in polymer waste management may enhance the sorting quality of packaging waste streams by using the fluorescent signal of tracer additives introduced into the polymer matrix. Prior to field application of tracer additives, it is necessary to investigate tracer influence on the polymer matrix in general and, more specifically, in multiple recycling cycles. Therefore, PET with mineral tracer concentrations of 0, 10, 100, and 1000 ppm was extruded up to six times. To investigate changes in material properties, differential scanning calorimetry, intrinsic viscosity, spectroscopic analysis, tensile testing, and color measurements were performed. In parallel, the up‐conversion photoluminescence of the tracer was quantified. Polymer degradation is generally induced by mechanical and thermal degradation during multiple processing cycles, leading to chain shortening, reduction of molecular weight, and the formation of new functional groups, as previously published in the literature. The results of the experiments indicate that tracer additives do not further affect the thermal, rheological, chemical, and optical polymer properties. Moreover, photoluminescent tracer properties are not affected by multiple polymer processing cycles.
Investigating CuO‐ZrO2 Mixed Metal Oxide Nanocomposites for Electrochemical Sensing of Food Colors
Authors: Mistry Khyati , Chakroborty Subhendu , Doshi Preet , Chandra Prakash , Ramakrishna D. S. , Bal Trishna , Darwish Ibrahim A. , Mantry Swarna P. , Soren Siba , Barik Arundhati , Praveen P. Lakshmi 
Published: December 2024

ABSTRACTA fast and highly sensitive electrochemical sensor (ECS) is crucially desirable for observing synthetic dyes in foodstuffs, as excessive consumption of these colorants can pose risks to human health, including toxicity and pathogenicity. This research introduces the creation of an ECS comprising a CuO‐ZrO2 nanocomposite for detecting Sunset Yellow (SY) dye in beverage and food items. The synthesized CuO‐ZrO2 material underwent thorough characterization using various physicochemical and electroanalytical methods. The ECS deposited over glassy carbon electrode (GCE) demonstrated its best response for SY when operated using a 0.01‐M, pH 5 phosphate‐buffered saline (PBS) solution. The optimal performance for the SY detection was obtained at a scan rate of 0.1 V s−1. Under these ideal conditions, the CuO‐ZrO2 demonstrated a linear range of 0.01–50 ppm for SY. The current limited of detection was 7699 μA, while the sensitivity value was determined to be 19.43 μA μM−1 cm−2. This straightforward and highly responsive sensor offers rapid and cost‐effective detection of SY.
Synthesis of benzo‐12‐crown‐4 ether immobilized silica for lithium‐ion adsorption
Authors: Jeong Yun‐Gyeong , Lim Che‐Ryong , Na Yong‐Bok , Yun Yeoung‐Sang , Kim Se‐Jung , Lee Youn‐Sik 
Published: December 2024

AbstractTo develop an adsorbent for Li+ recovery from seawater and/or spent lithium batteries, a benzo‐12‐crown‐4 ether (B12C4) moiety was immobilized with silica (immobilization yield: 0.70 meq g−1). Compared to pure silica, the resulting adsorbent (FB12C4‐SG) had a reduced Brunauer–Emmett–Teller surface area (500 vs. 180 m2 g−1) and pore volume (0.75 vs. 0.26 cm3 g−1). The Li+ adsorption reached equilibrium at 31 mg g−1 after 2 h (1000 ppm Li+ solution). The adsorption behavior was well explained by pseudo‐second‐order kinetics and the Langmuir adsorption model (maximum adsorption capacity: 33 mg g−1). The material exhibited a Li+/Na+ adsorption selectivity factor of 4.2 and high chemical stability under acidic regeneration conditions (1.0 N HCl solution).
Gut Microbiota as Mediator and Moderator Between Hepatitis B Virus and Hepatocellular Carcinoma: A Prospective Study
Authors: Hu Bingren , Yang Yi , Yao Jiangqiao , Lin Ganglian , He Qikuan , Bo Zhiyuan , Zhang Zhewei , Li Anlvna , Wang Yi , Chen Gang , Shan Yunfeng 
Published: December 2024

ABSTRACTBackgroundThe impact of gut microbiome on hepatitis B virus (HBV)‐related hepatocellular carcinoma (HCC) is unclear. We aimed to evaluate the potential correlation between gut microbiome and HBV‐related HCC and introduced novel machine learning (ML) signatures based on gut microbe to predict the risk of HCC.Materials and MethodsA total of 640 patients with chronic liver diseases or HCC were prospectively recruited between 2019 and 2022. Fecal samples were collected and subjected to 16S rRNA gene sequencing. Univariate and multivariate logistic regression was applied to identify risk characteristics. Several ML methods were employed to construct gut microbe‐based models and the predictive performance was evaluated.ResultsA total of 571 patients were involved in the study, including 374 patients with HCC and 197 patients with chronic liver diseases. After the propensity score matching method, 147 pairs of participants were enrolled in the analysis. Bacteroidia and Bacteroidales were demonstrated to exert mediating effects between HBV and HCC, and the moderating effects varied across Bacilli, Lactobacillales, Erysipelotrichaceae, Actinomyces, and Roseburia. HBV, alpha‐fetoprotein, alanine transaminase, triglyceride, and Child‐Pugh were identified as independent risk factors for HCC occurrence. Seven ML‐based HBV‐gut microbe models were established to predict HCC, with AUCs ranging from 0.821 to 0.898 in the training set and 0.813–0.885 in the validation set. Furthermore, the merged clinical‐HBV‐gut microbe models exhibited a comparable performance to HBV‐gut microbe models.ConclusionsGut microbes are important factors between HBV and HCC through its potential mediating and moderating effects, which can be used as valuable biomarkers for the pathogenesis of HBV‐related HCC.
Metabolic Syndrome Is Associated With Poor Prognosis in Patients With Breast Cancer Receiving Neoadjuvant Therapy
Authors: Ma Youzhao , Zhang Jingyang , Jiao Dechuang , Chen Xiuchun , Liu Zhenzhen 
Published: December 2024

ABSTRACTPurposeFew studies with a large sample size are available on patients with metabolic syndrome (MetS) receiving neoadjuvant treatment (NAT) for breast cancer. This study aimed to investigate the impact of MetS on the prognosis of patients with breast cancer undergoing NAT.MethodsThe data of patients with breast cancer receiving NAT at our center from January 2017 to December 2019 were retrospectively analyzed. A chi‐square test and logistic regression model were applied to ascertain the factors associated with MetS and pathological complete response (pCR). The Cox proportional risk model was employed for univariate and multivariate analyses of disease‐free survival (DFS) and overall survival (OS).ResultsOf the 910 patients enrolled, 164 (18.0%) were diagnosed with MetS, 568 (62.4%) with stage II, and 342 (37.6%) with stage III. Postmenopausal status (p = 0.045) and stage III (p = 0.009) were associated with a higher incidence rate of MetS. MetS was associated with a lower pCR rate (p = 0.027). The 5‐year DFS (83.7% vs. 73.1%, p = 0.001) and OS (92.8% vs. 85.5%, p = 0.001) of the non‐MetS group were significantly better than those of the MetS group. In premenopausal women, the DFS (p = 0.001) and OS (p = 0.025) of the non‐MetS group were significantly better than those of the MetS group. No significant differences were noted in DFS (p = 0.270) or OS (p = 0.078) between the two groups in postmenopausal women. In the Cox proportional risk model, MetS acted as an independent factor associated with DFS (HR = 1.705, 95% CI: 1.201–2.421, p = 0.003) and OS (HR = 1.874, 95% CI: 1.149–3.055, p = 0.012).ConclusionMetS was associated with poor prognosis in patients with breast cancer receiving NAT. Hence, close attention should be paid to patients with breast cancer who have MetS.
Non‐Invasive Tumor‐Naïve Minimal Residual Disease Detection of Liver Cancer by Incorporating Circulating Tumor DNA Features and Alpha‐Fetoprotein: A Prospective Study
Authors: Ren Qingqi , Li Shiyong , Zhong Guolin , Li Yunfei , Huang Dao‐Ling , Zhang Liangliang , Feng Yumin , Long Guanghui , Mao Mao 
Published: December 2024

ABSTRACTBackground and PurposeLiver cancer has a high recurrence rate of 50%~70% for early‐stage patients. Minimal residual disease (MRD) is strongly linked to liver cancer early recurrence. Identifying MRD through reliable prognostic biomarkers, such as circulating tumor DNA (ctDNA), could significantly benefit these patients by enabling timely intervention and improved outcomes.Materials and MethodsA prospective study enrolled 32 liver cancer patients undergoing radical surgery. Peripheral blood samples (8 mL) were collected before and after surgery. In this study, we expanded upon our previously developed multi‐omics assay, initially designed for liver cancer early detection by calculating a cancer signal score (PHCC), to determine the MRD status (named SeekInCure). This process integrated protein tumor marker alpha‐fetoprotein (AFP) and cancer genomic hallmarks, copy number aberration (CNA) and fragment size (FS).ResultsOf the enrolled patients, 78.1% were in early stages, and before surgery, 87.5% of patients had successfully detected the cancer signal in blood. After radical surgery, 23 patients were MRD‐negative, exhibiting better overall survival compared to the MRD‐positive patients (n = 9, p < 0.01). Patients maintaining undetectable cancer signals pre‐ and post‐surgery showed 100% survival, conversely, those keeping with detectable signals had a 55.6% mortality rate.ConclusionThis prospective study highlights the prognostic value of ctDNA‐based tumor‐naïve MRD detection through a multi‐omics assay in early‐stage liver cancer patients.
Enhancing Trust and Empathy in Marketing: Strategic AI and Human Influencer Selection for Optimized Content Persuasion
Authors: Zhang Yueyan , Zhu Jiaji , Chen Haibo , Jiang Yushi 
Published: December 2024

ABSTRACTCompared to human influencers, AI influencers offer advantages such as low cost, high efficiency, and fairer handling of objective tasks. However, they are believed to have shortcomings in perception and empathy abilities. How can companies select the more appropriate promoter between AI influencers and human influencers based on their marketing content? How can enterprises design more persuasive marketing content according to the type of influencer? Three behavioral experiments were conducted in this paper. The results indicate that when AI influencers post marketing content with functional advertising appeal, they can significantly enhance people's perceived trust. When human influencers share marketing content with experiential advertising appeal, they can significantly improve people's perceived empathy. Consumers with lower levels of knowledge are more susceptible to the matching effect of influencer type and advertising appeal type on the persuasive effect of marketing content than those with higher levels of knowledge. The conclusions of this study assist enterprises in scientifically matching influencer types with advertising appeals. By choosing influencers based on the nature of the marketing content or designing suitable marketing content based on the influencer type, companies can maximize marketing effectiveness. This refined marketing strategy not only improves the persuasive effect of the marketing content but also strengthens the brand's market competitiveness.
Influence of Y–Bi–Co oxide doping on electrical performance of ZnO varistors based on simulation analysis
Authors: Fu Zhengzheng , Zhang Zongxi , Fan Songhai , Cui Tao , Luo Donghui , Yin Yue , Meng Pengfei , Guo Jingke 
Published: December 2024

AbstractZnO varistors doped with , , and were analyzed for electrical performance, microstructure, phase composition, and elemental distribution using electrical performance testing, scanning electron microscopy, X‐ray diffraction, and energy dispersive spectroscopy tests. The best results were obtained with 0.5 mol% , 2 mol% , and 3 mol% , yielding a 356 V/mm voltage gradient, 0.9 leakage current, and a nonlinear coefficient of 66.2. The Voronoi network model explained how and enhance Y‐doped varistor performance. Grain size was identified as the primary factor affecting the voltage gradient, while the thick grain boundary phase impedance, the direct contact area ratio, surface state density, and donor density were key factors influencing the nonlinear coefficient and leakage current. The results indicate that doping with and significantly enhances the electrical properties of Y‐doped varistors, and simulation methods effectively reveal the effect mechanisms of dopants on the varistors.
Effect of treated palm fibers on the mechanical properties of compressed earth bricks stabilized by alkali‐activated binder‐based natural pozzolan
Authors: Kamwa Rolande Aurelie Tchouateu , Mousi Joseph Bikoun , Tome Sylvain , Nemaleu Juvenal Giogetti Deutou , Gérard Martine , Etoh Marie‐Annie , Etame Jacques 
Published: December 2024

AbstractThe aim of this work is to study the influence of the palm fibers treated with soda hydroxide solution on the properties of the compressed earth bricks stabilized (CEBs) with alkali‐activated binder. The improvement in their mechanical parameters is attributable with 15 wt.% of alkali‐activated binder‐based natural pozzolan. To achieve this objective, mortars composed of treated fibers at different levels (0.1, 0.2, 0.3, 0.4, and 0.5 wt.%) of lengths of 4 and 16 cm have been developed. These different mortars with and without fibers were subjected to mechanical (dry and wet compressive test, flexural test), physical (water absorption), mineralogical (XRD, FTIR), and microstructural (SEM/EDS) characterizations after 7 and 90 days. The results revealed that in general the incorporation of fibers improves the mechanical and physical properties of CEBs stabilized with 15 wt.% of alkali‐activated binder. Furthermore, the X‐ray diffraction analysis indicated that certain mineralogical phases of the raw materials dissolve during alkaline activation. The Fourier transform infrared spectra revealed the effectiveness of the fibers in sorption water molecules. Moreover, optical examination reveals that the binder utilized completely wraps the fibers. This demonstrates that the treated fibers function flawlessly as a filler in the matrix. At 90 days with the addition of 0.4 wt.% fibers, the maximum dry compressive strength and flexural strength values were 8.080.40 and 5.80.19 MPa, respectively. The stabilized earth bricks reinforced with 0.4 wt.% of palm fibers exhibited the mechanical properties values fitting the requirements of the materials candidate for the building construction applications especially as masonry bricks.
[1,2]‐Phospha‐Brook Rearrangement‐Initiated Palladium‐Catalyzed Cyclization Reaction of Isocyanides and o‐Bromobenzaldehydes: Access to 2H‐Isoindole‐1‐carboxamides and 2H‐Isoindole‐1‐carbonitriles
Authors: Wang Binbin , Gao Qiushan , Jiang Huanfeng , Wu Wanqing 
Published: December 2024

Comprehensive SummaryHerein, a [1,2]‐phospha‐Brook rearrangement‐initiated palladium‐catalyzed cyclization reaction for base‐controlled selective synthesis of 2H‐isoindole‐1‐carboxamide and 2H‐isoindole‐1‐carbonitrile derivatives has been described. This strategy features double isocyanide insertion, efficient bond combinations, simple operation and reaction conditions. Mechanistic studies show that the [1,2]‐phospha‐Brook rearrangement is the key step in this reaction. This protocol offers a novel and concise strategy for the synthesis of 2H‐isoindole derivatives.
Heart Failure Is Closely Associated With the Expression Characteristics of Type I Interferon‐Related Genes
Authors: Zhuo Jianfeng , Zhong Yan , Luo Xiaojuan , Qiu Sijie , Li Xinmei , Liang Yunyu , Wu Yu , Zhang Xiyu 
Published: December 2024

ABSTRACTBackgroundThe association between the expression of type I interferon related genes (TIIRGs) and EFrHF is not well understood. This study aimed to investigate the correlation between the expression patterns of TIIRGs and EFrHF using bioinformatics analysis.Materials and MethodsAn analysis was conducted to examine the expression and distribution of TIIRGs in cardiomyocytes. Afterwards, GSE5406 was utilized as the validation set, including 16 without heart failure, 86 with idiopathic dilated cardiomyopathy (IDCM), and 108 individuals with ischemic cardiomyopathy (ICM). We conducted a comparative analysis of the variations in TIIRGs gene expression across various forms of heart failure.ResultsThere were eight genes that showed substantial changes between patients with EFrHF and those without heart failure. A risk model for EFrHF was developed utilizing JAK1 and EIF2AK2, with an area under the curve (AUC) of 0.909. Five genes exhibited notable disparities between IDCM and ICM. Through multivariate analysis, it was shown that JAK1 and IFNA16/IFNA14 were identified as independent risk variables for distinguishing between the two pathogenic categories. The model, utilizing JAK1 and IFNA16/IFNA14, successfully differentiated between IDCM and ICM with an area under the curve (AUC) of 0.722. In the validation set GSE5406, the expression of JAK1 was dramatically downregulated, while EIF2AK2 was significantly upregulated in heart failure (HF) tissues. The model utilizing JAK1 and EIF2AK2 successfully differentiated between those with an illness and those without (AUC = 0.877).ConclusionsThe expression of TIIRGs is strongly associated with the presence and specific subtypes of HF in a pathological context.