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27,806 result(s) for "Wu, Peng"
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تطوير إقتصاد دائري في الصين
هذا العمل الجماعي المشترك، كما يشير عنوانه : (التاريخ المديني الحضري للصين) هو كتاب حضاري بامتياز. كتاب ‏يستعرض جوانب أساسية من حضارة الشعب الصيني القديمة-المتجددة الراسخة، الضاربة جذورها عميقا في تربة التاريخ ‏البشري الشامل.‏‎ يعد الكتاب سفر حضاري قيم وبحث متصل رصين حول التطور التاريخي العمراني في المدن الصينية وهو إذ ‏يتناول بشكل أساسي، فن العمارة والبناء والتصميم وتخطيط المدن والشوارع والأحياء والأسواق والمقار الحكومية ‏والحدائق والمعابد والساحات ومسالك الملاحة النهرية والري، فإنه لا يغفل في الوقت نفسه عن ما يتصل به هذا ‏الموضوع، من عشرات المواضيع الحضارية والثقافية والمعيشية الأخرى، مثل : العبادات والاعتقادات والتقاليد ‏والعادات والآداب والطقوس والحرف والفنون والنظم الاجتماعية والصراع السياسي والغزو الخارجي والتنظيم ‏الحكومي والقبلي والاجتماعي والطبقي والعسكري والإداري والإنمائي والعمراني والإسكاني والتعليمي والتجاري ‏والأدبي والفني والموسيقي والفولكلوري. إنه كتاب جميل يقدم العديد من اللوحات الرشيقة الرحبة المتقابلة المتلاحقة ‏المتكاملة التي ترحل بنا بين القصور والأنهار والأسوار والأحياء والمعاهد والمعابد وهياكل عبادة الأجداد ومواقع ‏التنقيب والساحات والحدائق والميادين ودواوين الشعر وسجلات التاريخ ولا يخلو كل ذلك من جولات من البحث ‏المقارن في غير أمر من هذه الأمور ولن نطيل عليكم في الإضاءة على مواضيع هذا الكتاب لأكثر من ذلك، آملين ‏لكم سلاسة القراءة ومتعة الاكتشاف.
Association between meniscal extrusion and disease severity in knee osteoarthritis: a retrospective case-control study
Objective To explore the relationship between meniscus compression and the severity of knee osteoarthritis. Materials and methods A retrospective case-control study included 95 patients with knee osteoarthritis (OA) admitted to our hospital from April 2021 to July 2023, who were grouped into slight protrusion of meniscus group ( n  = 48) and severe protrusion of meniscus group ( n  = 47) according to the degree of meniscal extrusion. Various parameters, including Kellgren/Lawrence classification, imaging findings, cartilage damage grading, physical function assessments, and correlation analyses, were used to evaluate the relationship between meniscal extrusion and disease progression. Results The study revealed significant associations between severe meniscal extrusion and measures of disease severity, including reduced cartilage thickness(3.24 ± 0.61 versus 3.78 ± 1.45; P  = 0.019), increased meniscus degeneration grade (2.86 ± 0.54 versus 2.23 ± 1.63; P  = 0.013), diminished joint space width (4.56 ± 0.73 versus 4.86 ± 0.52; P  = 0.025), elevated meniscal extrusion(3.68 ± 1.78 versus 2.85 ± 1.54; P  = 0.018), greater bone marrow lesion volume(6.13 ± 1.85 versus 5.21 ± 1.58; P  = 0.011), advanced cartilage damage(t = 0.016), and impaired physical functioning. Correlation analyses indicated a positive relationship between meniscal extrusion and disease severity( r  > 0). While the predictive value of meniscal extrusion alone was modest (AUC = 0.617), a combined model integrating various parameters yielded a high predictive value for disease progression (AUC = 0.853). Conclusion Meniscal extrusion was associated with disease severity and functional decline in knee osteoarthritis patients and has potential predictive value for disease progression.
Higgs as heavy-lifted physics during inflation
A bstract Signals of heavy particle production during inflation are encoded as nonanalytic momentum scaling in primordial non-Gaussianity. These non-analytic signatures can be sourced by Standard Model particles with a modified Higgs scale uplifted by the slow-roll dynamics of inflation. We show that such a lifting mechanism becomes more efficient with the presence of a strong Higgs-inflaton mixing, where the Higgs mass scale is further increased by a small speed of sound in the effective theory of inflation. As a primary step towards detecting new particles in the cosmological collider program, non-Gaussianity due to heavy Higgs production in the strong-mixing regime can act as important background signals to be tested by future cosmological surveys.
Constant-rate inflation: primordial black holes from conformal weight transitions
A bstract Constant-rate inflation, including ultra-slow-roll inflation as a special case, has been widely applied to the formation of primordial black holes with a significant deviation from the standard slow-roll conditions at both the growing and decaying phases of the power spectrum. We derive analytic solutions for the curvature perturbations with respect to the late-time scaling dimensions (conformal weights) constrained by the dilatation symmetry of the de Sitter background and show that the continuity of conformal weights across different rolling phases is protected by the adiabatic condition of the inflaton perturbation. The temporal excitation of subleading states (with the next-to-lowest conformal weights), recorded as the “steepest growth” of the power spectrum, is triggered by the entropy production in the transition from the slow-roll to the constant-rate phases.
Alloying–realloying enabled high durability for Pt–Pd-3d-transition metal nanoparticle fuel cell catalysts
Alloying noble metals with non-noble metals enables high activity while reducing the cost of electrocatalysts in fuel cells. However, under fuel cell operating conditions, state-of-the-art oxygen reduction reaction alloy catalysts either feature high atomic percentages of noble metals (>70%) with limited durability or show poor durability when lower percentages of noble metals (<50%) are used. Here, we demonstrate a highly-durable alloy catalyst derived by alloying PtPd (<50%) with 3d-transition metals (Cu, Ni or Co) in ternary compositions. The origin of the high durability is probed by in-situ/operando high-energy synchrotron X-ray diffraction coupled with pair distribution function analysis of atomic phase structures and strains, revealing an important role of realloying in the compressively-strained single-phase alloy state despite the occurrence of dealloying. The implication of the finding, a striking departure from previous perceptions of phase-segregated noble metal skin or complete dealloying of non-noble metals, is the fulfilling of the promise of alloy catalysts for mass commercialization of fuel cells. Durability of catalysts under fuel cell reaction conditions is challenging for active nanoalloy electrocatalysts derived from platinum group metals and other transition metals. Here, the authors show that realloying in certain multimetallic nanoalloys plays a major role in enabling the high durability.
Intra-crystalline mesoporous zeolite encapsulation-derived thermally robust metal nanocatalyst in deep oxidation of light alkanes
Zeolite-confined metal nanoparticles (NPs) have attracted much attention owing to their superior sintering resistance and broad applications for thermal and environmental catalytic reactions. However, the pore size of the conventional zeolites is usually below 2 nm, and reactants are easily blocked to access the active sites. Herein, a facile in situ mesoporogen-free strategy is developed to design and synthesize palladium (Pd) NPs enveloped in a single-crystalline zeolite (silicalite-1, S-1) with intra-mesopores (termed Pd@IM-S-1). Pd@IM-S-1 exhibited remarkable light alkanes deep oxidation performances, and it should be attributed to the confinement and guarding effect of the zeolite shell and the improvement in mass-transfer efficiency and active metal sites accessibility. The Pd−PdO interfaces as a new active site can provide active oxygen species to the first C−H cleavage of light alkanes. This work exemplifies a promising strategy to design other high-performance intra-crystalline mesoporous zeolite-confined metal/metal oxide catalysts for high-temperature industrial thermal catalysis. Zeolite-confined metal nanoparticles (NPs) have attracted much attention owing to their superior sintering resistance and broad applications. Here the authors develop a facile in situ mesoporogen-free strategy to design and synthesize palladium NPs enveloped within a single-crystalline zeolite with intra-mesopores.
Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique
The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM-to-GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC-to-shapefile conversion is easier and more flexible to realize than the IFC-to-CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM-to-GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth.
The FUS/circEZH2/KLF5/ feedback loop contributes to CXCR4-induced liver metastasis of breast cancer by enhancing epithelial-mesenchymal transition
Background Metastasis of breast cancer have caused the majority of cancer-related death worldwide. The circRNAs are associated with tumorigenesis and metastasis in breast cancer according to recent research. However, the biological mechanism of circRNAs in liver metastatic breast cancer remains ambiguous yet. Methods Microarray analysis of three pairs of primary BC tissues and matched hepatic metastatic specimens identified circEZH2. We used RT-qPCR and FISH assays to confirm circEZH2 existence, characteristics, and expression. Both in vivo and in vitro, circEZH2 played an oncogenic role which promoted metastasis as well. A range of bioinformatic analysis, Western blot, RNA pull-down, RIP, ChIP, and animal experiments were used to define the feedback loop involving FUS, circEZH2, miR-217-5p, KLF5, FUS, CXCR4 as well as epithelial and mesenchymal transition. Results In our research, circEZH2 was proved to be upregulated in liver metastases in BC and predicted the worse prognosis in breast cancer patients. Overexpression of circEZH2 notably accentuated the vitality and invasion of BC cells, whereas knockdown of circEZH2 elicited the literally opposite effects. Besides, overexpressed circEZH2 promoted tumorigenesis and liver metastasis in vivo. Moreover, circEZH2 could adsorb miR-217-5p to upregulate KLF5 thus leading to activate FUS transcription which would facilitate the back-splicing program of circEZH2. Meanwhile, KLF5 could upregulated CXCR4 transcriptionally to accelerate epithelial and mesenchymal transition of breast cancer. Conclusions Consequently, a novel feedback loop FUS/circEZH2/KLF5/CXCR4 was established while circEZH2 could be novel biomarker and potential target for BC patients’ therapy.
Leptogenesis from spontaneous symmetry breaking during inflation
A bstract Symmetry breaking in the Higgs field via a non-minimal coupling to gravity or higher-dimensional interactions with the inflaton can lead to condensation at a large vacuum expectation value (VEV) during inflation. After inflation is over, the Higgs field must relax to the minimum of its effective potential, creating an era in which the CPT is effectively broken by the time-depended VEV. We show that the matter-antimatter asymmetry can be generated during this relaxation epoch.
The platelet to high-density lipoprotein cholesterol ratio is associated with thyroid hormone abnormalities based on NHANES 2007 to 2012 data
Thyroid hormone abnormalities are closely associated with metabolic and cardiovascular diseases, yet easily accessible predictors remain limited. This study aimed to investigate the association between the platelet/high-density lipoprotein cholesterol ratio (PHR) and thyroid hormone levels, including thyroid dysfunction. Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2012 were analyzed. Weighted multiple linear and logistic regression models were used to assess the relationship between PHR and thyroid hormone levels, as well as the prevalence of thyroid dysfunction. Subgroup analyses, smoothing curve fitting, and threshold effect analyses were also conducted to further explore potential associations. A total of 8440 participants were included, with a mean age of 47.83 ± 18.48 years and a mean platelet/high-density lipoprotein cholesterol ratio (PHR) of 20.64 ± 8.43. Significant differences in thyroid hormone levels were observed across PHR quartiles, with higher PHR quartiles associated with elevated FT3, TT4, and hypothyroidism prevalence, and lower FT4/FT3 and FT4/TT4 ratios.In unadjusted models, PHR was positively correlated with FT3 (β = 0.007, P  < 0.001), TT4 (β = 0.017, P  < 0.001), and hypothyroidism (OR = 1.024, P  = 0.012), and negatively correlated with FT4/FT3 and FT4/TT4 ratios. After adjusting for potential confounders, these associations remained significant. The odds of hypothyroidism were higher in Q2 and Q4 compared to Q1.Nonlinear associations were observed in the threshold effect analysis, with inflection points for FT3 and TT4 at 10.050 and 24.706, respectively. Below these points, PHR showed a negative association with FT3 and a positive association with TT4, while the associations plateaued above the inflection points. PHR, a readily available biomarker, is significantly associated with FT3, TT4, and the prevalence of hypothyroidism. These findings suggest that PHR could serve as a promising marker for predicting thyroid hormone abnormalities, especially in resource-limited settings where routine thyroid screening is not feasible.