Results 141 to 150 of about 435,811 (318)

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model [PDF]

open access: yesarXiv
We introduce Transfusion, a recipe for training a multi-modal model over discrete and continuous data. Transfusion combines the language modeling loss function (next token prediction) with diffusion to train a single transformer over mixed-modality sequences.
arxiv  

Barnes Hospital Bulletin [PDF]

open access: yes, 1987
https://digitalcommons.wustl.edu/bjc_barnes_bulletin/1256/thumbnail ...

core   +1 more source

Clinical application of preoperative autologous blood donation under anesthesia monitoring

open access: yesZhongguo shuxue zazhi
[Objective] To evaluate the safety and efficacy of preoperative autologous blood donation (PABD) under anesthesia monitoring in elective surgical procedures, and to provide scientific data for promoting its clinical application. [Methods] 1) A total of 1
DU Chunhong   +4 more
doaj   +1 more source

A Fractional Differential Transformation Solution Method for the Assessment, Monitoring, Control, and Evaluation of HIV/AIDS Confirmed Status with Vertical Transmission in Nigeria [PDF]

open access: yesarXiv, 2016
HIV is a deadly virus transmitted either through having of unprotected sex, mother to child transmission, sharing of unsterilized objects that is capable of making cut or wounds on the body, through blood or bodily fluid transmission. AIDS has no permanent cure but remedies that help in suppressing the power effect of the virus are available.
arxiv  

Report of Two Cases of Preoperative Blood Transfusion in Elective Operation

open access: yesپزشکی بالینی ابن سینا, 2000
Preperative autologous blood  donation (PABD)  is  one of  the  three    methods of autologous blood transfusion. With stimulating  bone  marrow    erythropoiesis  and  satisfactory  iron  supplies  maintained, blood can be    collected  as  frequency
Alireza Monsef, Seyyed Kamal Mosavi
doaj  

AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models [PDF]

open access: yesarXiv
While logical reasoning evaluation of Large Language Models (LLMs) has attracted significant attention, existing benchmarks predominantly rely on multiple-choice formats that are vulnerable to random guessing, leading to overestimated performance and substantial performance fluctuations.
arxiv  

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