Results 271 to 280 of about 3,494,638 (328)

Macro-F1 scores of different fine-tuned versions of GPT-4o compared to the performance scaling models (Eq 11).

Mohamed Alkaoud (19515643)
openalex   +1 more source

TRIM40 Drives Pathological Cardiac Hypertrophy and Heart Failure via Ubiquitination of PKN2

Advanced Science, EarlyView.
This study identifies the E3 ligase TRIM40 as a key driver of pathological cardiac hypertrophy. TRIM40 binds PKN2 via its B‐box domain and, through its C29‐dependent catalytic activity, mediates K63‐linked ubiquitination of PKN2. This modification enhances PKN2 phosphorylation at Ser815, thereby driving hypertrophy.
Risheng Zhao, Xiaoli Cui, Huizhu Du, Zhuoqun Wang, Chang Liu, Linxin Zhang, Jianing Qi, Di Yang, Hui Yu, Shuang Yan, Wei Liu, Haiming Sun, Mengyang Wang   +12 more
wiley   +1 more source

Evaluating the performance of a generative AI model in assessing qualitative health research articles adherence to objective reporting standards. [PDF]

Sci Rep
Chia AW, Teo WL, Munro YL, Dalan R.
europepmc   +1 more source

F1 Scores for the GPT, Cohere, Llama, and Gemini LLMs on individual binarized PHQ-8 items.

Bazen Gashaw Teferra (21799468), Argyrios Perivolaris (21799471), Wei-Ni Hsiang (21799474), Christian Kevin Sidharta (21799477), Alice Rueda (15399721), Karisa Parkington (21799480), Yuqi Wu (2203138), Achint Soni (21799483), Reza Samavi (4266001), Rakesh Jetly (729659), Yanbo Zhang (184664), Bo Cao (552407), Sirisha Rambhatla (21799486), Sri Krishnan (21799489), Venkat Bhat (11814479)   +14 more
openalex   +1 more source

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

Advanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling, Aïda Yakhlef Sanchez, Nicolas Thelen, Müge Senarisoy, Maria Hogg, Steven Condamine, Andrea Lelli, Emilia Wysocka, Pranav Patni, Sandrine Vitry, Kerem Yasin Yildizhan, Sébastien Le Gal, Sylvie Nouaille, Michael R. Bowl, Marc Thiry, Didier Dulon, Sedigheh Delmaghani, Aziz El‐Amraoui   +17 more
wiley   +1 more source

Ensemble Deep Learning for Real-Bogus Classification with Sky Survey Images. [PDF]

Biomimetics (Basel)
Prommool P, Chucherd S, Iam-On N, Boongoen T.   +3 more
europepmc   +1 more source

Proportion of cytokines with the highest AUC-ROC, PR-AUC, balanced accuracy, detection rate, sensitivity, detection prevalence, F1 score, NPV, precision, specificity and prevalence across each of the 10 methods as computed from cross-validated mouse lymph node target scRNA-seq data, encompassing 77,033 cells.

Azka Javaid (16859357), H. Robert Frost (10994582)   +1 more
openalex   +1 more source

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

Semantic code clone detection using hybrid intermediate representations and BiLSTM networks. [PDF]

PLoS One
Shahbaz Ismail M, Shahzad S, Quradaa FH.
europepmc   +1 more source

Bootstrap analysis of overall accuracy, F1-score, precision, and recall across model configurations for mineBenchDL, terraceDL and vfillDL datasets.

Sarah Farhadpour (20390793), Aaron E. Maxwell (8840882)   +1 more
openalex   +1 more source