A romantika-kutatás legújabb fejleményei

<p>Funnel Plot Illustrating the Lack of Publication Bias in the Meta-analysis for CSS (A), RFS (B), OS (C), and the CSS Subgroup Analysis Comparing BC and UTUC (D).</p

Hadis-hadis Antropomorfisme: Analisis Terhadap Takwil Ibn Hajar Al-‘asqalânî Dalam Fath Al-bârî

: Anthropomorphism in Hadith: An Analysis of Ibn Hajar al- ‘Asqalânî\u27s Ta\u27wîl in Fath al-Bârî. In the history of Islamic theology, discussion on Quranic verses and the Prophetic traditions that deal with anthropomorphism has undergone long history starting from heated debate between literal hadith centrists with those of rationalists theologians and the Muktazilah. This essay attempts to elaborate Ibn Hajar\u27s view, as an advocate of tradition, in understanding the hadiths that describe the attributes similar to that of His creatures. In order to avoid potential error and confusion in understanding the attributes of God, Ibn Hajar utilized ta\u27wîl method and departed from his root due to socio-political condition and the prevailing theological teachings that led him to support the tenets of Asy‘ariyah. Conversely, he was very keen on safeguarding the Muslim\u27s creed from equating God\u27s attributes with His creatures

Evaluation of genipin-crosslinked chitosan hydrogels as a potential carrier for silver sulfadiazine nanocrystals

In the present study genipin crosslinked chitosan (CHI) hydrogels, which had been constructed and reported in our previous studies (Lei Gao, et al. Colloids Surf. B Biointerfaces. 2014, 117: 398), were further evaluated for their advantage as a carrier for silver sulfadiazine (AgSD) nanocrystal systems. Firstly, AgSD nanocrystals with a mean particle size of 289 nm were prepared by wet milling method and encapsulated into genipin crosslinked CHI hydrogels. AgSD nanocrystals displayed a uniform distribution and very good physical stability in the hydrogel network. Swelling-dependent release pattern was found for AgSD nanocrystals from hydrogels and the release profile could be well fitted with Peppas equation. When AgSD nanocrystals were encapsulated in hydrogels their fibroblast cytotoxicity decreased markedly, and their antibacterial effects against Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa were still comparable to unencapsulated AgSD nanocrystals. In vivo evaluation in excision and burn cutaneous wound models in mice showed that AgSD nanocrystal hydrogels markedly decreased the expression of inflammatory cytokine IL-6, but increased the levels of growth factors VEGF-A and TGF-β1. Histopathologically, the wounds treated by hydrogels containing AgSD nanocrystals showed the best healing state compared with commercial AgSD cream, hydrogels containing AgSD bulk powders and blank hydrogels. The wounds treated by AgSD nanocrystal hydrogels were dominated by marked fibroblast proliferation, new blood vessels and thick regenerated epithelial layer. Sirius Red staining assay indicated that AgSD nanocrystal hydrogels resulted in more collagen deposition characterized by a large proportion of type I fibers. Our study suggested that genipin-crosslinked CHI hydrogel was a potential carrier for local antibacterial nanomedicines

Explanatory variables of traffic crash data in Michigan roundabouts.

Explanatory variables of traffic crash data in Michigan roundabouts.</p

Flow chart of the optimized multivariate Grey-Markov model.

Flow chart of the optimized multivariate Grey-Markov model.</p

Grey relational grades of each independent variable associated with traffic crashes in roundabouts.

Grey relational grades of each independent variable associated with traffic crashes in roundabouts.</p

Fitted accuracies of different Multivariable Grey (MGM(1,n)) models.

Fitted accuracies of different Multivariable Grey (MGM(1,n)) models.</p

Markov states of MGM(1,4) output values.

We propose a multivariate Grey-Markov model to quantify traffic accident risk from different causality factors in roundabouts that is uniquely suited for the scarce and stochastic traffic crash data from roundabouts. A data sample of traffic crashes occurring in roundabouts in the U.S. State of Michigan from 2016 to 2021 was collected to investigate the capabilities of this modeling methodology. The multivariate grey model (MGM(1,4)) was constructed using grey relational analysis to determine the best dimensions for model optimization. Then, the Markov chain is introduced to address the unfitness of stochastic, fluctuating data in the MGM(1,4) model. Finally, our proposed hybrid MGM(1,4)-Markov model is compared with other models and validated. This study highlights the superior predictive performance of our MGM(1,4)-Markov model in fore-casting roundabout traffic accidents under data-limited conditions, achieving a 3.02% accuracy rate, in contrast to the traditional GM(1,1) model at 8.30% and the MGM(1,4) model at 4.47%. Moreover, incorporating human, vehicle, and environmental risk factors into a multivariate crash system yields more accurate predictions than merely aggregating crash counts.</div

Predicted Markov state transitions of yearly traffic crash figures.

Predicted Markov state transitions of yearly traffic crash figures.</p

Comparison between existing GM [47] and MGMs [48] in literature and the MGM-Markov model.

(a) Model-fitted total roundabout crashes; (b) Relative error values.</p