Results 51 to 60 of about 1,688 (176)
Abstract Background Osteoporosis fractures pose a significant public health concern, leading to substantial morbidity and mortality rates. The emerging evidence on the potential link between gut microbiota, proteins, and osteoporosis fractures suggests a complex relationship that warrants further investigation.
Qiong Wang +6 more
wiley +1 more source
Earthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional ...
Asep Id Hadiana +2 more
doaj +1 more source
Spoken Language Identification System Using Convolutional Recurrent Neural Network
Following recent advancements in deep learning and artificial intelligence, spoken language identification applications are playing an increasingly significant role in our day-to-day lives, especially in the domain of multi-lingual speech recognition. In
Adal A. Alashban +3 more
doaj +1 more source
Artificial Intelligence in Gastrointestinal Motility Diagnostics: A Systematic Review
Artificial Intelligence shows strong potential to improve the accuracy, efficiency, and standardization of gastrointestinal motility diagnostics. In time, this will improve patient care, but for now the referenced studies throughout the GI tract lack the required rigor for clinical implementation. ABSTRACT Background The assessment of gastrointestinal (
Dylan Muggleston +3 more
wiley +1 more source
FNDC1 competitively binds Gβ2 to suppress the β‐catenin–destruction complex and promote the malignant behavior of gastric cancer (GC) by the following mechanism: elevated FNDC1 competes with Dvl for binding to Gβ2, thereby reducing Dvl–Gβ2 interaction; this reduction inhibits Dvl degradation in the cytoplasm; increased Dvl recruits Axin1, thereby ...
Wenyu Gao +9 more
wiley +1 more source
Text Recognition Model Based on Multi-Scale Fusion CRNN
Scene text recognition is a crucial area of research in computer vision. However, current mainstream scene text recognition models suffer from incomplete feature extraction due to the small downsampling scale used to extract features and obtain more features.
Le Zou +6 more
openaire +3 more sources
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li +12 more
wiley +1 more source
Speaker Identification in Different Emotional States in Arabic and English
Speaker recognition is an important application of digital speech processing. However, a major challenge degrading the robustness of speaker-recognition systems is variation in the emotional states of speakers, such as happiness, anger, sadness, or ...
Ali Hamid Meftah +3 more
doaj +1 more source
The failure of a facility to produce a product can have significant impacts on the quality of the product. Most equipment failures occur in rotating equipment, with bearing damage being the biggest cause of failure in rotating equipment.
Seokju Oh, Seugmin Han, Jongpil Jeong
doaj +1 more source
While undertaking macrofungal forays to several forested areas of Uttarakhand (India), a noteworthy and previously unknown species of Hemileccinum was unveiled. This species is proposed here as Hemileccinum indicum sp. nov. It is presented with both morphological characteristics and multigene molecular phylogenetic analysis.
Kanad Das +3 more
wiley +1 more source

