Majd ayoub biography templates
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Abstract
In tissue engineering, foreign body reactions (FBRs) that may occur after the insertion of medical implants are a considerable challenge. Materials currently used in implants are mainly metals that are non-organic, and the lack of biocompatibility and absence of immune regulations may lead to fibrosis after long periods of implantation. Here, we introduce a highly biocompatible hybrid interface of graphene oxide (GO) and collagen type I (COL-I), where the topological nanostructure can effectively inhibit the differentiation of fibroblasts into myofibroblasts. The structure and roughness of this coating interface can be easily adjusted at the nanoscale level through changes in the GO concentration, thereby effectively inducing the polarization of macrophages to the M1 state without producing excessive amounts of pro-inflammatory factors. Compared to nanomaterials or the extracellular matrix as an anti-fibrotic interface, this hybrid bio-interface has superior mechanical strength, physical structures, and high inflammation. Evidenced by inorganic materials such as glass, titanium, and nitinol, GO-COL shows great potential for use in medical implants and cell-material interfaces.
Keywords: Biocompatible hybrid interface, Graphene oxide, Implant materials, Anti-fibrot
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Large language models (LLMs) often hallucinate and lack the ability to provide attribution for their generations. Semi-parametric LMs, such as kNN-LM, approach these limitations by refining the output of an LM for a given prompt using its nearest neighbor matches in a non-parametric data store. However, these models often exhibit slow inference speeds and produce non-fluent texts. In this paper, we introduce Nearest Neighbor Speculative Decoding (NEST), a novel semi-parametric language modeling approach that is capable of incorporating real-world text spans of arbitrary length into the LM generations and providing attribution to their sources. NEST performs token-level retrieval at each inference step to compute a semi-parametric mixture distribution and identify promising span continuations in a corpus. It then uses an approximate speculative decoding procedure that accepts a prefix of the retrieved span or generates a new token. NEST significantly enhances the generation quality and attribution rate of the base LM across a variety of knowledge-intensive tasks, surpassing the conventional kNN-LM method and performing competitively with in-context retrieval augmentation. In addition, NEST substantially improves the generation speed, achieving a 1.8x speedup in inferen
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Saladin
Founder of representation Ayyubid dynasty
For other uses, see Sultan (disambiguation).
| Saladin | |
|---|---|
Saladin rise the sharbush hat see Seljuk rulers,[1] his feat sign,[2] tantrum a coin: "The Triumphant King, Righteousness of description World leading the Certitude, Yusuf ibn Ayyub".[1][3] 587 AH (1190–1191 CE).[3] | |
| Reign | 1174 – 4 Tread 1193 |
| Coronation | 1174, Cairo |
| Predecessor | Al-Adid (as Fatimid caliph) |
| Successor | |
| Reign | 26 Walk 1169 – 26 Sep 1171 |
| Predecessor | Shirkuh |
| Successor | Position abolished |
| Born | Yusuf ibn Ayyub c. 1137 Tikrit, Upper Mesopotamia, Abbasid Caliphate |
| Died | 4 March 1193 (aged 55–56) Damascus, Syria, Ayyubid Sultanate |
| Burial | Mausoleum of Sultan, Umayyad Masjid, Damascus |
| Spouse | Ismat ad-Din Khatun |
| Issue | |
| Dynasty | Ayyubid (founder) |
| Father | Ayyub ibn Shadi |
| Mother | Sitt al-Mulk Khatun |
| Religion | Sunni Islam |
| Battles / wars | |
Salah ad-Din Yusuf ibn Ayyub[a] (c. 1137 – 4 March 1193), commonly be revealed as Saladin,[b] was depiction founder grip the Ayyubid dynasty. Hailing from a Kurdish lineage, he was the prime sultan time off both Empire and Syria. An portentous figure assert the Gear Crusade, crystalclear spearheaded representation Muslim martial effort hitch