bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dose–response relationship and predictive value of soluble B7‐DC in bronchoalveolar lavage fluid and risk of refractory Mycoplasma pneumoniae pneumonia in children
Authors: Li Xue‐Hua , Xu Jun‐Mei 
Published: February 2025

AbstractThis study was to investigate the clinical significance of soluble B7‐dendritic cell (sB7‐DC) concentration in bronchoalveolar lavage fluid (BALF) of children with Refractory Mycoplasma pneumoniae pneumonia (RMPP). A total of 298 patients with Mycoplasma pneumoniae pneumonia (MPP) were enrolled. Patients were divided into general MPP (GMPP) (n = 213) and RMPP groups (n = 85). Detection of sB7‐DC and serum inflammatory factors in BALF was performed by ELISA. The relationship between sB7‐DC and the risk of RMPP was assessed using restricted cubic spline (RCS) model. A base model for predicting RMPP was constructed using logistic regression analysis, and a compound model was created with the addition of sB7‐DC in the base model. ROC curves were plotted to evaluate the predictive value of the model. Column line plots were plotted to assess the contribution of each variable to the outcome event. Calibration curves were plotted and the Hosmer–Lemeshow test (HL test) was performed to assess the calibration performance of the model. Decision curve analysis (DCA) plots were plotted to assess determine whether sB7‐DC has clinical value. There was no statistical difference between sB7‐H3 and sB7‐H4 in the two groups (both p > 0.05). sB7‐DC levels were higher in the RMPP group than in the GMPP group (91.66 [77.36, 122.5] pg/ml vs. 64.87 [47.07, 86.46] pg/ml, p < 0.001). RCS analysis showed that the risk of RMPP gradually increased with the increase of sB7‐DC when sB7‐DC > 76.505 pg/ml. Both the base model and the compound model constructed with independent correlates of RMPP had some predictive value, and the models were well‐fitted. The column line graphs showed that the models had discriminative ability. Notably, the compound model had a higher predictive value, with a higher AUC value than the base model: 0.76 (0.65–0.87) versus 0.68 (0.54–0.81). The highest net benefit was close to 0.15 (only 0.1 in the base model). When the net benefit was >0, the high‐risk threshold took on a wide range of values. sB7‐DC in children with RMPP is an independent predictor of RMPP. sB7‐DC helps to improve quantitative prediction of RMPP risk and accurately guide medical decisions.
Aligning forces to accelerate healthcare transformation: Insights from the UPMC learning community
Authors: Holder Diane , Keyser Donna , Kogan Jane , Hurford Matthew O. , Lovelace John , Schuster James 
Published: February 2025

AbstractIntroductionTo accelerate transformation toward value‐based, equitable care, health systems need a viable approach for engaging and aligning multiple stakeholders to promote innovation. Building and sustaining learning communities offers one possible solution.MethodsWe describe how one learning community has leveraged the collective strengths, assets, and expertise of multiple stakeholders to improve care value for subpopulations who experience low‐quality, high‐cost, and/or inequitable health outcomes.ResultsBy providing critical infrastructure and support, UPMC's Learning Community was able to (1) accelerate adoption of risk‐based payment models that promote shared accountability among providers, payers, and families/caregivers for the total costs of care of children and adolescents with medically complex conditions, (2) drive widespread practice change for improving physical and mental wellness for individuals with serious mental illness, and (3) increase access to evidence‐based treatment and improve outcomes for individuals with opioid and substance use disorders.ConclusionsLearning communities can serve as important catalyzers for the payment, practice, and service delivery innovation necessary to achieve a high‐value, equitable health system.
Infinitesimally equivariant bundles on complex manifolds
Authors: Bouaziz Emile 
Published: February 2025

AbstractWe study holomorphic vector bundles equipped with a compatible action of vector field by Lie derivatives. We will show that the dependence of the Lie derivative on a vector field is almost ‐linear. More precisely, after an algebraic reformulation, we show that any continuous ‐linear Lie algebra splitting of the symbol map from the Atiyah algebra of a vector bundle on a complex manifold is given by a differential operator, which is further of order at most the rank of the bundle plus one. The proof is quite elementary. When the differential operator we obtain has order 0 we have simply a vector bundle with flat connection, so in a sense, our theorem says that we are always a uniformly bounded order away from this simplest case.
Cannabidiol restores hematopoietic stem cell stemness in mouse through Atf2–Lrp6 axis after acute irradiation
Authors: Bai Zhijie , Huang Congshu , Xu Huanhua , Wang Yuxin , Liao Zebin , Shen Pan , Ni Zhexin , Huangfu Chaoji , Sun Dezhi , Hu Yangyi , Wang Ningning , Zhang Pengfei , Zhou Lei , Zhou Wei , Gao Yue 
Published: February 2025

AbstractBone marrow serves as the residence of hematopoietic stem cells and is recognized as one of the most radiosensitive tissues. Exposure to acute radiation leads to severe damage to bone marrow hematopoiesis which can be fatal, while few clinically applicable medication or specific therapeutic targets have been discovered. In this study, we found that the administration of cannabidiol significantly enhanced individual survival and restored the reconstitution capacity of bone marrow hematopoietic stem cells within 14 days after irradiation. Single‐cell RNA sequencing analysis demonstrated that the expression levels of genes associated with stemness along with Wnt and BMP signaling pathways were restored by the cannabidiol treatment through the upregulation of Atf2, a transcription factor possessing multifunctional properties. Atf2 upregulation induced by cannabidiol treatment potentially upregulated the expression of Lrp6 to improve the stemness of hematopoietic stem cells. Further functional experiments validated the crucial role of Atf2 in regulating multilineage differentiation potential of bone marrow hematopoietic stem and progenitor cells. Overall, our findings provide evidence for a promising radioprotective function of cannabidiol and Atf2 as a candidate therapeutic target for acute radiation‐induced hematopoietic injury, thereby paving the way for future research in the field.
The Yeast‐Fermented Garlic and a Balance of Spermine/Spermidine Activates Autophagy via EGR1 Transcriptional Factor
Authors: Xie Kun , Yano Satoshi , Wang Jinyun , Yamakoshi Shota , Ohta Tomoe , Uto Takuhiro , Sakai Maiko , He Xi , Yoshizaki Kaichi , Kubota Takumi , Ohnishi Kohta , Hara Taichi 
Published: February 2025

ABSTRACTSpermine (SPM) and spermidine (SPD) are polyamines found in all organisms, and their concentrations can be regulated by ingestion. We demonstrated that yeast‐fermented garlic (YF) extract significantly increased autophag flux in OUMS‐36T‐1 and HeLa cells expressing the fluorescent probe (GFP‐LC3‐RFP‐LC3ΔG). YF‐induced increase of autophagy occurred independently of mTORC1 signaling, and RNA‐sequencing analysis revealed that EGR1 was the most significantly altered gene in YF‐treated OUMS‐36T‐1 cells. YF‐treated EGR1‐deficient HAP1 cells displayed reduced autophagic flux (p < 0.05). YF‐induced increasing of autophagic flux occurred via a specific SPM/SPD ratio. HAP1 cells treated with equivalent amounts of SPD or SPM as that found in YF did not increase autophagic flux (p > 0.05); however, treatment with SPD and SPM in the same ratio as that found in YF increased autophagic flux (p < 0.05). This specific SPM/SPD ratio reduced MG132‐induced proteostress via EGR1‐dependent pathways (p < 0.05). Thus, the SPM/SPD balance may regulate autophagy via EGR1‐dependent pathways, and controlling this balance may provide a strategy to maintain cellular homeostasis.
General Geometric Reconstruction Method of Failure Criteria for Lattice Spring Model
Authors: Yang Zhen‐Qi , Wei Xin‐Dong , Li Zhe , Zhao Gao‐Feng 
Published: February 2025

ABSTRACTFailure criteria are crucial in numerical methods for effectively resolving material failures, especially in geomaterials such as rock and concrete. A wide array of criteria, designed for different rock types and complex stress conditions, has been developed. Although Artificial Neural Network (ANN)‐based failure criteria present a unified solution for incorporating these diverse criteria into numerical models, their opaque nature and heavy data demands frequently curtail their practical utility and computational efficiency. To address these issues, this paper introduces a geometric‐based method for reconstructing existing failure criteria. This novel approach not only simulates the functionality of ANNs but also offers greater interpretability, simpler visualization, and reduced data requirements. The effectiveness of this reconstruction method in representing established failure criteria is validated, and its utility in a four‐dimensional lattice spring model (4D‐LSM) for modeling true triaxial conditions is showcased through multiple numerical examples.
Leveraging E‐Waste Recycling via Auctions With Dual Responsibilities
Authors: Xiu Xu Su , Xu Gangyan , Li Guo , Gao Yuan , Cheng Meng 
Published: February 2025

ABSTRACTThe efficient recycling of electric and electronic waste products (e‐waste) not only provides environmental and societal benefits but also is recognized as being profitable from economic and business perspectives. However, how to design incentive mechanisms for efficient e‐waste recycling with dual responsibilities, namely, corporate social responsibility (CSR) and government rural vitalization, remains unclear. In this paper, we consider an e‐waste recycling problem in which a company collects a certain amount of e‐waste from developed and poor regions. With the goal of CSR, the company reserves a portion of demands for the poor region while realizing as much social welfare as possible. In pursuit of the rural revitalization strategy, the government offers subsidies to agents from the poor region. We introduce the concept of the price of CSR, which is defined as the loss of social welfare. We find the price of CSR is nondecreasing when the demand in the poor region increases. We propose a family of novel Vickrey‐Clarke‐Groves (VCG) auctions with CSR and government subsidies, which are all incentive‐compatible (IC) and individual‐rational (IR). Two strategies are considered for allocating government subsidies, namely, agent subsidy policy and company subsidy policy. Interestingly, if the bid‐ask spread is large enough in the developed region, then the company with CSR obtains higher profits. The outcome of e‐waste recycling is used as a signal for the precise allocation of the budget for government subsidies. The agent subsidy policy can ensure that a “poorer” agent or village receives a higher subsidy. When the company exhibits a low level of CSR, the company subsidy policy can bring more benefits for agents in the poor region at a relatively lower overall subsidy than the agent subsidy policy. This paper enriches the existing auction theory and provides insights into the impacts of firm‐level action (CSR), government policy (subsidies), and individual behavior on rural vitalization.
Multifunctional gradient‐layer woven lattice truss sandwich panels with energy absorption, bending resistance, and sound insulation
Authors: Wan Ping , Yan Qu , Bai Cuiping , Li Zhoupeng , Wang Song , Cui Yujun , Li Xiaofei , Liu Xiaobo , Shi Hougai 
Published: February 2025

AbstractIn this study, three distinct multifunctional gradient‐layer woven lattice truss sandwich panels (M‐G‐WLTS) were designed, fabricated, and tested for rail transit applications. The M‐G‐WLTS were engineered with discrete core piles and varying thicknesses to achieve enhanced multifunctional performance. A cost‐effective vacuum infusion and multi‐layer co‐curing process technique was employed during the fabrication of the M‐G‐WLTS. A comprehensive analysis of the acoustic and mechanical properties of M‐G‐WLTS was conducted through a variety of experimental methods, including flatwise compression tests, three‐point bending tests, and sound insulation evaluations. Results showed that T3 M‐G‐WLTS absorbed energy more effectively than T1 but was outperformed by T2. Additionally, peak loads and specific peak loads indicated that T3 exhibited superior bending capabilities. The thicker M‐G‐WLTS T3 achieved a weighted sound insulation rating of 26.1 dB, exceeding T2 by 5.1 dB and T1 by 3.9 dB. This study confirms the viability of M‐G‐WLTS for rail transit systems that provide enhanced energy absorption, bending capacity, and effective acoustic insulation.Highlights
Gradient‐layer woven lattice truss sandwich panels were designed and tested.
The proposed M‐G‐WLTS demonstrates superior mechanical and acoustic properties.
Gradient‐layer design enhances the bearing capacity and sound insulation.
Utilizing small gradients facilitates the absorption of structural energy.
Protons Selectively Regulate the Asymmetric Activation of the C─H Bonds of Methanol Molecules
Authors: Jia Kun , Jia Peng 
Published: February 2025

AbstractThe activation of C─H bonds under mild conditions is a crucial step in the conversion of organic molecules. However, the simultaneous activation of C─H bonds in methanol can result in excessive oxidation, thereby diminishing the selectivity for formaldehyde production. We achieved selective activation of the C─H bonds in methanol under mild conditions by adjusting the proton concentration in an anhydrous methanol solution, which significantly enhanced the dehydrogenation rate of methanol. Additionally, we constructed related molecular models to identify the sites of asymmetric oxidation, providing new insights for further studies on C─H bond activation.
Preparation, Optimization, and Targeted Release of Chitosan Quaternary Ammonium Salt Thermosensitive Hydrogels
Authors: Huang Juan , Ye Yiqi , Fan Sisi , Zhu Qianwen , Wang Jianwei , Chen Qu 
Published: February 2025

AbstractChitosan (CS) exhibits a wide range of physicochemical properties in gel forms. In this work, the quaternized chitosan, N‐[(2‐hydroxy‐3‐trimethylammonium)propyl] chitosan chloride (HTCC), was successfully synthesized and blended with CS and glycerophosphate (GP) to form a thermosensitive hydrogel. The HTCC exhibited a degree of quaternization of 78.52% and improved water solubility (5.7%, w/v). For a hydrogel composed of 1.57% CS, 0.23% HTCC, and 10% GP (w/v), the sol‐to‐gel transition occurred within 2 min at 40 °C. Notably, when the GP concentration reached approximately 6% (w/v), the CS‐HTCC‐GP hydrogel exhibited a unique biphasic behavior, transitioning from sol to gel either by cooling from room temperature to 5 °C or by heating to 40 °C. The NaCl release behavior of the CS‐HTCC‐GP hydrogel was influenced by both pH and temperature, with faster release observed under weakly basic conditions compared to neutral or acidic environments. The release process followed a quasi‐Fickian diffusion mechanism. These distinctive physicochemical properties suggest that the CS‐HTCC‐GP hydrogel holds great promise not only for controlled drug release applications but also for uses in hemostasis and embolization.
Metabolite Profiling Based UHPLC‐HRMS of Indonesian Peperomia pellucida and Its Phytochemical, Antioxidant, and Enzyme Inhibitory Properties
Authors: Lestari Endah Noviana Eka , Nisa Khoirun , Suryani Ade Erma , Handayani Desi Suci , Kusumaningsih Triana 
Published: February 2025

AbstractOne of promising Indonesian botanicals, Peperomia pellucida, lacks a standardized extraction technique due to its wide range of substances. In this study, the phytochemicals, antioxidants, and enzyme inhibitory activities of P. pellucida were examined after being extracted using UAE with 70% ethanol and partitioned using the solid–liquid partition technique with four solvents of variable polarity. Metabolites composition in P. pellucida was identified using UHPLC‐HRMS, further assessed with chemometric analysis for classifying the data. The evaluation on phenolics, flavonoids, terpenoids, and tannins contents presents the strong correlation with its antioxidant activity (DPPH, FRAP, ABTS) as well as the enzyme inhibition (lipase, tyrosinase, and α‐glucosidase). The metabolomic analysis revealed that tetrahydrofolic acid, diosmin, 7‐hydroxy‐3‐(4‐methoxyphenyl)‐4‐propylcoumarin, (‐)‐caryophyllene oxide, hesperetine, and 6β‐naltrexol were the major constituents contained in P. pellucida extract, while amino acids, flavonoids, polyphenols, and terpenoids were the most abundant active class presence in the extract. The PCA and PLS‐DA successfully classified P. pellucida extract and fractions into five groups.
Water‐Dynamics Monitoring Using a Flexible Resistive Sensor and Reservoir Computing
Authors: Seimiya Naruhito , Uehara Koh , Nakamura Haruki , Matsumura Guren , Miyashita Takuma , Nakajima Kohei , Takei Kuniharu 
Published: February 2025

AbstractWater droplets exhibit different dynamics upon contact with an object, depending on several factors, including the impact angle and droplet volume. Insights gained from monitoring the dynamics might be valuable in rain‐sensing applications for analyzing precipitation and wind velocity. Notably, a resistive‐type flexible rain sensor exists, which monitors the changes in resistance with time when a water droplet contacts an object. However, the dynamics sensing mechanism for water droplets contacting a conductive superhydrophobic surface has not been systematically explored, and importantly, the sensors can only be used at a 20° tilt angle. Therefore, this study aims to reveal the sensing mechanism of resistive sensors by analyzing the vertical energy of water droplets impacting the sensor surface. By varying the conditions surrounding the vertical impact, we observe that the minimum resistance of the sensor to water droplets increases when the impact energy decreases at different dropping heights and sensor tilt angles. Further, a reservoir‐computing algorithm is developed to assess the water dynamics at different sensor tilt angles, resulting in the successful estimation of the water‐droplet volume and wind velocity.
A Fluorescence/Colorimetric Synergistic‐Enhanced Type‐I Heterostructured MOF@QDs for Both Multi‐Depth Food‐Freshness Prediction and Extra Preservation
Authors: Zhao Mengzhen , Zhong Wen , Chen Jiaheng , He Yuqing , Zhou Zhibin , Deng Dan , Lin Suai , Cheng Haoxin , Hu Xiaotian , Wang Xiaolei 
Published: February 2025

AbstractSpoiled food has significantly impacted the global economy and public health, which increases worldwide concern about monitoring and preserving food freshness. Herein, a multi‐functional type‐I heterojunction (Eu@ZMC) is designed by europium metal‐organic framework (EuMOF), zinc oxide quantum dots (ZnO QDs), and chlorogenic acid (CGA). Eu@ZMC achieves ratiometric fluorescent/colorimetric sensing of pH and biogenic amines to detect freshness. Besides, a paper‐based platform (PEu@ZMC) is prepared and can detect histamine with the LOD of 0.0142 and 0.0136 µg mL−1 in fluorescent and colorimetric modes, respectively. An advanced OR/NOT‐gate logic device is further constructed to distinguish freshness into three levels (fresh, less fresh, and spoiled). This dual‐mode sensor is synergistic‐enhanced by the energy transfer triggered by ZnO QDs‐promoted colorimetry and the type‐I heterostructure of fluorescent EuMOF and ZnO QDs. The release of low‐toxic zinc ions inhibits various bacterial growth, including Salmonella typhimurium. According to raw fish evaluation, Eu@ZMC not only effectively monitors spoilage externally and internally aligning with a commercial kit, but also reduces spoilage speed, which cannot be achieved through the classical detection strategy. This original work provides a simple, convenient, and reliable method for multi‐depth and real‐time visual food monitoring with extract freshness preservation, contributing to economic benefits and human health assurance.
A Review of Social and Organizational Barriers to Water Reuse in the United States
Authors: Scruggs Caroline E. , Hacker Miriam E. 
Published: February 2025

ABSTRACTWater reuse is increasingly seen as a necessary part of municipal and regional water planning, driven by climate change, increasing populations, economic development, nutrient management, and supply diversification, among other factors. However, only a small fraction of the water discharged every day from municipal, industrial, agricultural, and oil and gas operations across the United States is formally reused. Despite the need for water reuse in water planning, barriers to adoption exist across several social and organizational dimensions: cost and rate development, policy and regulation, capacity development, organizational dynamics, and equity and environmental justice. This overview reviews these dimensions, synthesizing major findings from the literature and highlighting areas where additional research is needed. Existing work has focused on economic considerations of reuse and regulatory and policy impacts. While some research exists across the other dimensions presented, there is a need to expand what we know about organizational factors impacting the adoption of water reuse, including workforce and capacity building and equity implications.
Apatite as a pathfinder to tin mineralisation: prospects and caveats
Authors: Mangler Martin F. , Gardiner Nicholas J. , Skeat Dominic , Roberts Nick M. W. , Tapster Simon 
Published: February 2025

Abstract
Granite-related mineral deposits are major primary sources of the critical metals tin (Sn) and lithium (Li). The utility of accessory minerals such as zircon and apatite as pathfinders to these ore deposits has been a subject of great interest in recent years, with a number of geochemical discriminants having been developed to distinguish barren from metal-fertile and mineralised intrusions. Here, we study the potential of apatite as an indicator mineral for tin and lithium mineralisation using a compilation of published apatite trace element data as well as new data for the mineralised Cornubian batholith and barren Bhutanese leucogranites. Critical examination of common geochemical discriminants tracing magma fractionation and redox conditions (Mn, Eu/Eu*, La/YbN and Sr/Y) reveals large and overlapping data scatter for both barren and Sn-fertile intrusions. This calls into question the utility of these petrogenetic indicators to pinpoint tin metallogeny. Instead, prima facie metal concentrations directly related to tin mineralisation (i.e., Sn and Li) are consistently elevated in apatite from fertile and mineralised intrusions. Based on our data compilation, Li and Sn concentrations in apatite are the most robust indicators for Sn (and Li) mineralisation, and we encourage the community to include Li and Sn in their analytical routines to further test these observations and explore their implications for tin metallogeny.