KAJIAN TEMPERATUR CURING PADA KUAT TEKAN BETON GEOPOLIMER BERBAHAN DASAR KAOLIN

Penelitian ini bertujuan untuk menganalisa temperatur curing pada kuat tekan beton geopolimer. Beton geopolimer yang diteliti berbahan dasar kaolin. Penelitian ini dilaksanakan di Laboratorium Uji Bahan Universitas Negeri Jakarta dengan metode eksperimen. Penelitian ini menggunakan benda uji silinder dengan diameter 15 cm dan tinggi 30 cm. Perawatan benda uji dengan dimasukkan ke oven pada temperatur 60oC, 75oC, 90oC, 105oC, dan 120oC selama 8 jam. Pengujian kuat tekan beton geopolimer menggunakan alat Crushing Test Machine. Hasil penelitian ini menunjukkan bahwa terdapat kenaikan kuat tekan beton geopolimer pada temperatur curing yang berbeda. Semakin tinggi temperatur curing maka memperbesar kuat tekan beton geopolimer yang dihasilkan, hasil kuat tekan beton geopolimer dengan temperatur curing 60oC, 75oC, dan 90oC adalah 11,65 MPa, 12,92 MPa, dan 14,70 MPa. Namun kekuatan tekan beton geopolimer menurun pada temperatur curing diatas 100oC, hasil kuat tekan beton geopolimer dengan temperatur curing 105oC dan 120oC adalah 12,97 MPa dan 11,42 MPa

Mechanisms underlying disorders of consciousness: Bridging gaps to move toward an integrated translational science

AIM: In order to successfully detect, classify, prognosticate, and develop targeted therapies for patients with disorders of consciousness (DOC), it is crucial to improve our mechanistic understanding of how severe brain injuries result in these disorders. METHODS: To address this need, the Curing Coma Campaign convened a Mechanisms Sub-Group of the Coma Science Work Group (CSWG), aiming to identify the most pressing knowledge gaps and the most promising approaches to bridge them. RESULTS: We identified a key conceptual gap in the need to differentiate the neural mechanisms of consciousness per se, from those underpinning connectedness to the environment and behavioral responsiveness. Further, we characterised three fundamental gaps in DOC research: (1) a lack of mechanistic integration between structural brain damage and abnormal brain function in DOC; (2) a lack of translational bridges between micro- and macro-scale neural phenomena; and (3) an incomplete exploration of possible synergies between data-driven and theory-driven approaches. CONCLUSION: In this white paper, we discuss research priorities that would enable us to begin to close these knowledge gaps. We propose that a fundamental step towards this goal will be to combine translational, multi-scale, and multimodal data, with new biomarkers, theory-driven approaches, and computational models, to produce an integrated account of neural mechanisms in DOC. Importantly, we envision that reciprocal interaction between domains will establish a virtuous cycle, leading towards a critical vantage point of integrated knowledge that will enable the advancement of the scientific understanding of DOC and consequently, an improvement of clinical practice