Results 111 to 120 of about 18,914 (252)

QBP1 Peptide as a Potential Anti‐Amyloidogenic Therapy for Type 2 Diabetes: An In Vitro Study

Advanced Science, EarlyView.
The anti‐amyloidogenic peptide QBP1 effectively halts human islet amyloid polypeptide (hIAPP) aggregation, preventing the formation of toxic β‐structured intermediates. Through a combination of biophysical assays, molecular dynamics, and cell‐based studies, QBP1 is shown to preserve β‐cell viability and metabolic homeostasis, positioning it as a ...
María M. Tejero‐Ojeda, Ada Bernaus Vives, Michał Wojciechowski, Dinh Quoc Huy Pham, Mateusz Chwastyk, Mario Vallejo, Anna Novials, Douglas V. Laurents, Mariano Carrión‐Vázquez   +8 more
wiley   +1 more source

Malectin Alleviates Endoplasmic Reticulum Stress in Gestational Diabetes Mellitus via Glycoprotein Quality Control Mechanisms

Advanced Science, EarlyView.
Malectin alleviates high glucose‐induced ER stress and damage in placental trophoblasts, a function dependent on its six critical carbohydrate‐binding residues. In a GDM mouse model, administration of TAT‐Malectin ameliorated hyperglycemia and placental ER stress and prevented fetal macrosomia.
Jiahui Zhu, Yumeng Zhang, Ye Wang, Xiaoyu Zhu, Ailin Yuan, Weijing Yin, Huangmin Yu, Xuemin Pang, Yufeng He, Yuchen Wang, Tong Wang, Yong Li, Yunlong Si   +12 more
wiley   +1 more source

Functional Analysis of Ligand‐Gated Chloride Channels in a Cnidarian Sheds Light on the Evolution of Inhibitory Signaling

Advanced Science, EarlyView.
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha, Linda Kloss, Juan D. Montenegro, Simone Albani, Audrey Ortega‐Ramírez, Mihaela Raycheva, Sylvia Joussen, Sabrina Kaul, Michèle Bachmann, Lisa Huf, Günther Schmalzing, Alison G. Cole, Ulrich Technau, Stefan Gründer   +13 more
wiley   +1 more source

A Catalog of Data Smells for Coding Tasks

ACM Transactions on Software Engineering and Methodology
Large Language Models (LLMs) are increasingly becoming fundamental in supporting software developers in coding tasks. The massive datasets used for training LLMs are often collected automatically, leading to the introduction of data smells. Previous work addressed this issue by using quality filters to handle some specific smells. Still, the literature
Antonio Vitale, Rocco Oliveto, Simone Scalabrino   +2 more
openaire   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

A Python code smell detection method based on ensemble learning

上海师范大学学报. 自然科学版
A Python code odor detection method based on ensemble learning was proposed in this paper, which was used to detect five types of code smell. Two ensemble learning methods, stacked ensemble and voting ensemble, were adopted to detect code smell, and ...
CAO Yue, CHEN Junhua
doaj   +1 more source

Diversity of Pharmaceuticals Enhances Antibiotic Resistance in the Invertebrate Gut via Biofilm‐Mediated Mechanisms

Advanced Science, EarlyView.
Pharmaceutical diversity acts as an independent driver of antibiotic resistance in soil invertebrates. While bulk soil remains unaffected, the collembolan gut microbiome exhibits significant resistance gene enrichment under complex chemical exposure and diurnal warming.
Yi‐Fei Wang, Ya‐Ning Wang, Da Lin, Jia‐Yang Xu, Feng‐Yuan Qi, Hui‐Ling Cui, Hui‐Jie Lu, Min Qiao, Edward Topp, Dong Zhu, Matthias C. Rillig, Yong‐Guan Zhu   +11 more
wiley   +1 more source

Specification and Detection of LLM Code Smells

CoRR
Accepted paper at ICSE NIER 2026 : https://conf.researchr.org/track/icse-2026/icse-2026 ...
Brahim Mahmoudi, Zacharie Chenail-Larcher, Naouel Moha, Quentin Stiévenart, Florent Avellaneda   +4 more
openaire   +2 more sources

Analyzing the effect of developer’s emotion on the quality of open-source projects

Journal of Electrical Systems and Information Technology
Background Sentiment analysis is the approach used to identify the variation of emotional behavior of the software developer during the product development lifecycle.
Archana Patnaik, Rasmita Panigrahi, Lov Kumar, Sanjay Misra   +3 more
doaj   +1 more source

Enhanced code smell detection using random forest optimized with particle swarm variants

Results in Engineering
In the software industry, the rapid growth of large-scale systems and frequent release cycles have intensified the challenge of maintaining long-term software quality.
Argo Wibowo, Adhistya Erna Permanasari, Teguh Bharata Adji   +2 more
doaj   +1 more source