Top k-NN clusters of metabolites decreased at 4 hours. by Zarazuela Zolkipli-Cunningham (5234186)

Top k-NN cluster of metabolites decreased at 30 minutes. by Zarazuela Zolkipli-Cunningham (5234186)

Change in support for AI-enabled autonomous systems from 2018 to 2020. by Michael C. Horowitz (5883152)

N-acetilcysteine prevents the <i>A</i>. <i>simplex</i> CE-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

Effect of the temperature and protease inhibition on the <i>A</i>. <i>simplex</i>-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

Table 1_Association between the atherogenic index of plasma and risk of large-artery atherosclerotic ischemic stroke.xlsx by Wen Zhong (425650)

“…</p>Results<p>Individuals with consistently high levels of AIP were at increased risk of developing LAA, and this risk increased progressively with increasing levels of AIP. …”

Data Sheet 1_Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer.docx by Ei-Wen Yang (149486)

“…</p>Methods<p>AI-HOPE-WNT employs a modular architecture combining large language models (LLMs), a natural language-to-code engine, and a backend statistical workflow interfaced with harmonized data from cBioPortal. …”

JNJ26993135 + BML-111 decreases permeability and enhances ZO-1 and claudin-1 induced by PAF but does not change TEER. by Kameljit K. Kalsi (16496511)

Table_1_Association Between CST3 Gene Polymorphisms and Large-Artery Atherosclerotic Stroke.PDF by Yarong Ding (10952170)

“…Per C allele of rs13038305 also showed an increased level of low-density lipoprotein cholesterol (LDL-C), β (95% CI) was 1.335 (1.008–1.250), p = 0.044. …”

Flow charts showing the performance for all the relevant pathologies (a) in all age groups, (b) 7–14 years, and (c) 2–6 years. by Prerana Agarwal (21781515)

Subjects:

Data Sheet 1_Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.pdf by Manuela Deodato (11135016)

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

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Dose- and time-dependent effect of IL-1β treatment on HBMEC barrier function using TEER. by Janet Storm (37473)

Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

“…After 24h of treatment, TEER measurement was performed. A main effect with the focus on culture system (SMC/ALI) and glucose concentration (HIGH/LOW) was observed but no effect of PA was detected. …”

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.…”

Figure 2 -CyrtarachneSurfaceSpreading Comparison.ai from The moth specialist spider <i>Cyrtarachne akirai</i> uses prey scales to increase adhesion. by Candido Diaz (1477900)

“…<i>Larinioides cornutus</i> glue droplets failed to penetrate the moth scales, their force of adhesion thus limited by the strength of attachment of scales to the cuticle. The large size and low viscosity of <i>C. akirai</i> glue droplets function together to use the three-dimensional topography of the moth's scales against itself via capillary forces. …”

Brief Report: Increased technology use associated with lower A1C in a large pediatric clinical population by G. Todd Alonso (9568724)

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 1,000 random y(0). by Xi Chen (35903)

Subjects: