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- Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding25
The Speech UndeRstanding Evaluation (SURE) benchmark for parameter-efficient learning for various speech processing tasks is introduced and a new adapter, ConvAdapter, based on 1D convolution is introduced, showing that ConvAdapter outperforms the standard adapters while showing comparable performance against prefix tuning and Low-Rank Adaptation.
- Noninvasive prenatal diagnosis for Duchenne muscular dystrophy based on the direct haplotype phasing22
Direct haplotyping of NIPD based on linked-read sequencing for DMD is accurate and its feasibility for clinical application in the case of Duchenne Muscular Dystrophy is feasibility.
- Sea Buckthorn Polyphenols Alleviate High-Fat-Diet-Induced Metabolic Disorders in Mice via Reprograming Hepatic Lipid Homeostasis Owing to Directly Targeting Fatty Acid Synthase13
It is revealed that SBP as a functional food alleviates HFD-induced metabolic disorders in mice via reprograming hepatic lipid homeostasis caused by targeting FAS, owing to four polyphenols directly interacting with FAS and cinaroside binding to FAS with good affinity.
- Certainty-Driven Consistency Loss for Semi-supervised Learning13
A novel certainty-driven consistency loss (CCL) to dynamically select data samples that have relatively low uncertainty to guide the student learn more meaningful and certain/reliable targets, and hence improve the quality of the gradients backpropagated to the student.
- The application of late amniocentesis: a retrospective study in a tertiary fetal medicine center in China12
It is reasonable to recommend late amniocentesis as an effective and reliable method to detect late-onset fetal abnormalities, however, chromosomal microarray and whole-exome sequencing may result in uncertain results like variants of uncertain significance.
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- Effects of Salvia miltiorrhiza active compounds on placenta-mediated pregnancy complications9
In this review, the literature is summarized and comprehensive insights on S. miltiorrhiza and its phytochemical constituents, pharmacological activities, and on PMPCs are provided, which would be valuable to explore promising drugs.
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- HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract)7
A novel model that converts the ranking of candidate answers into individual predictions for each candidate, named HGMAN, which is capable of capturing more informative representations for relations assisted by the authors' heterogeneous graph, which consists of multiple entity nodes and relation nodes.
- Empowering Cartilage Restructuring with Biodegradable Magnesium Doped-Silicon Based-Nanoplatforms: Sustained Delivery and Enhanced Differentiation Potential6
The findings suggest the potential application of the developed biodegradable MMOS-Ica@HA nanoplatforms with acceptable drug loading capacity and controlled drug release in chondrodysplasia treatment, which indicates a promising approach for the treatment of chondrodysplasia.
- Identifying key m6A-methylated lncRNAs and genes associated with neural tube defects via integrative MeRIP and RNA sequencing analyses5
Investigation of differentially m6A-modified lncRNAs and genes involved in neural tube defect (NTD) development found decreased expression levels of Mir100hg, Gm19265, G m10544, Malat1, and genes, such as Zfp236, Erc2, and Hmg20a, in the NTD group may contribute to the development of NTD.
- An induced pluripotent stem cell line (GZHMCi003-A) derived from a fetus with exon 3 heterozygous deletion in RUNX2 gene causing cleidocranial dysplasia5
An induced pluripotent stem cell line GZHMCi003-A derived from umbilical cord blood mononuclear cells (UCBMCs) of a fetus with heterozygous deletion of the exon 3 in RUNX2 gene is generated to study the pathological mechanism and the treatment of CCD.
- HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks4
A small learnable network that generates parameters of the Adapter blocks, allowing us to condition Adapters on speaker representations and making them dynamic, and promising results on the dynamic adaptation of adapter parameters using hypernetworks open up new avenues for domain-generic multi-speaker TTS systems.
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- Integrating Subgraph-Aware Relation and Direction Reasoning for Question Answering3
A novel neural model is proposed, Relation-updated Direction-guided Answer Selector (RDAS), which converts relations in each subgraph to additional nodes to learn structure information and utilizes direction information to enhance the reasoning ability.
- Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation2
This paper proposes to integrate parameter-efficient transfer learning (PETL) methods such as adapters and hypernetwork with TTS architecture for multilingual speech synthesis and shows that PETL methods able to achieve comparable or even better performance compared to full fine-tuning with only $\sim$2.5\% tunable parameters.
- Efficacy and safety of Chinese medicine combined with balloon dilatation vs. balloon dilatation alone for achalasia patients: a systematic review and meta-analysis2
Chinese medicine plus balloon dilatation had better effects after treatment than balloons alone for achalasia patients, and the risk of bias of included studies adhered to Cochrane criteria guidelines.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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