Data_Sheet_1_Application of a nomogram model for the prediction of 90-day poor outcomes following mechanical thrombectomy in patients with acute anterior circulation large-vessel o... by Xia Li (14984)

“…Moreover, five variables, namely, age (odds ratio [OR]: 1.049, 95% CI [1.016–1.083]; p = 0.003), glucose level (OR: 1.163, 95% CI [1.038–1.303]; p = 0.009), baseline National Institute of Health Stroke Scale (NIHSS) score (OR: 1.066, 95% CI [0.995–1.142]; p = 0.069), unsuccessful recanalization (defined as a TICI grade of 0 to 2a) (OR: 3.730, 95% CI [1.688–8.245]; p = 0.001), and early neurological deterioration (END, defined as an increase of ≥4 points between the baseline NIHSS score and the NIHSS score at 24 h after MT) (OR: 3.383, 95% CI [1.411–8.106]; p = 0.006), were included in the nomogram to predict the potential risk of poor outcomes at 90 days following MT in LVO patients, with a C-index of 0.763 (0.693–0.832) in the training set and 0.804 (0.719–0.889) in the validation set.…”

Image_1_Rapid, Large, and Synchronous Sweat and Cardiovascular Responses Upon Minor Stimuli in Healthy Subjects. Dynamics and Reproducibility.JPEG by Ai Van Thuy Ho (8395764)

Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology by William Rojas-Carabali (13908962)

Data Sheet 1_Gaining insights into pet owner understanding/lived experience of canine chronic kidney disease using survey and social media data.docx by Georgina Tarrant (21261062)

Benchmark of the mean difference in FKS for pre-processing to post-processing for each large language model approach, Programmatic+AI, T5, GPT-J-6b. by Karl Swanson (3580583)

Data_Sheet_1_Rapid, Large, and Synchronous Sweat and Cardiovascular Responses Upon Minor Stimuli in Healthy Subjects. Dynamics and Reproducibility.PDF by Ai Van Thuy Ho (8395764)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Image examples representing strengths and limitations of the AI tool. by Prerana Agarwal (21781515)

Subjects:

<i>IR52a</i>^<i>+</i> neurons synapse with sexually dimorphic second-order neurons. by Zhe He (508742)

Data Sheet 2_Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.pdf by Manuela Deodato (11135016)

Human-AI Collaborative Journaling with POCKET-MIND: A Dual-Prompt Framework for Emotional Exploration and Goal Attainment by HaeJi Yang (22829125)

“…<p>Human-AI collaborative systems are increasingly explored as tools for promoting mental well-being and supporting personal development. …”

Second. by Cuicui Liu (1496260)

Apicoplast inhibitors decrease global parasite prenylation in the second IDC after treatment. by Kit Kennedy (4915510)

The list of genes whose expression was largely increased by AdNKX2-1 infection. by Yuko Ito (1976692)

Subjects:

Association between variables and time to recurrent admission after AIS hospitalization (using a Weibull accelerated failure time model) in univariate analysis (Model 1) and after... by Lily W. Zhou (16748332)

Subjects:

Naringenin decreases mitochondrial function. by Lauren A. Eanes (20995499)

Hazard function for the birth of a second child. by Jing Zhang (23775)

“…Grandparental childcare is also associated with maternal employment, which is itself associated with a sharp decrease in the transition to second birth. …”

Mining Solid-State Electrolytes from Metal–Organic Framework Databases through Large Language Models and Representation Clustering by Jinglang Zhang (20989405)

“…However, their development is hindered by their inherent complexity and the absence of design guidelines. Large language models (LLMs) and machine learning, as emerging artificial intelligence (AI) technologies, can significantly accelerate the development of MOF SSEs by analyzing data and identifying potential materials. …”

For the Karate network. by Xi Chen (35903)

Subjects:

Influence of edge edition on consensus. by Xi Chen (35903)

Subjects: