Results 201 to 210 of about 142,938 (289)

Automated <i>Mycobacterium tuberculosis</i> Detection in Multivariant Digitized Ziehl-Neelsen Staining Using Faster R-CNN Method. [PDF]

Int J Biomed Imaging
Rulaningtyas R, Bilhaq FG, Kusumaningrum D, Eric R, Ittaqillah SI, Trilaksana H, Widhyatmoko DB, Joseph AA.   +7 more
europepmc   +1 more source

Macrophage TRIM21 Inhibition Ameliorates Murine Acute Pancreatitis via PHB2‐Mediated Mitochondrial Stabilization

Advanced Science, EarlyView.
Macrophage‐derived TRIM21 drives the progression of AP via ubiquitin‐proteasome‐mediated degradation of PHB2, leading to impaired PHB2‐mediated mitophagy. Therefore, accumulation of cytosolic mtDNA hyperactivates the cGAS‐STING signaling axis, thereby amplifying inflammatory cascades.
Yansong Xu, Yuansong Sun, Xin Zhou, Kai Song, Chunlin Yin, Zhaohua Wang, Fei Xie, He Li   +7 more
wiley   +1 more source

Software application in early blight detection in tomatoes using modified MobileNet architecture. [PDF]

Sci Rep
Appati JK, Wellu ZP, Amissah DK, Boante LM.   +3 more
europepmc   +1 more source

F1-Score of different algorithms for TMD on SHL dataset.

Rui Li (4631), Xueyi Song (21464680), Yongliang Xie (21464683)   +2 more
openalex   +1 more source

Tunneling‐Controlled Fusion of Short‐ and Long‐Term Memory in SiO2/HfO2‐Based Neuromorphic Device for Time‐Series Prediction

Advanced Science, EarlyView.
Based on trap‐assisted tunneling, the devices can fuse STM/LTM, where the low switching energy of 1 pJ and stable low‐power retention (0.2 % loss ratio and 3.05 × 10−11 W) is achieved. Training in a long short‐term memory network it allows to analysis time‐series data and then makes precise long‐term predictions with an error ratio of 4.465 ...
Chengdong Yang, Lihua Xu, Linlin Su, Yue Wu   +3 more
wiley   +1 more source

Segmentation-Based Multi-Class Detection and Radiographic Charting of Periodontal and Restorative Conditions on Bitewing Radiographs Using Deep Learning. [PDF]

Diagnostics (Basel)
Bayırlı AB, Kesgin B, Uytun M, Kuran A, Çitir M, Yavuz MB, Bayrakdar SK, Çelik Ö, Bayrakdar İŞ, Orhan K.   +9 more
europepmc   +1 more source

Performance metrics for seven classification models in predicting depression were evaluated on the test dataset. Metrics reported include accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC). Random Forest and CatBoost achieved the highest overall accuracy (82.2%), with Random Forest obtaining the highest recall (0.94) and AUC (0.91), indicating its strong ability to identify depressed individuals.

Abdulzeid Yen Anafo (22656310), LaRon E. Nelson (11767201), Leo Wilton (438429), Vincent Uwumboriyhie Gmayinaam (15338643), Selasi Ocloo (22656313)   +4 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition. [PDF]

J Am Med Inform Assoc
Waheed M, Xiong H, Tong K, Lau AYS.
europepmc   +1 more source

Violin plots of the F1-scores achieved by each method in the seven training organisms and the two validation organisms with more than 10 non-operon labels.

Rezvan Karaji (21956625), Lourdes Peña-Castillo (51044)   +1 more
openalex   +1 more source