Results 221 to 230 of about 17,795 (314)

The Double Historicity of Sex and Gender. [PDF]

Arch Sex Behav
Thinius A.
europepmc   +1 more source

mGluR5 in ECCCK to BLA Circuit Modulates Depressive‐Like Phenotypes through CCK Signaling

Advanced Science, EarlyView.
Dysregulation of mGluR5 and CCK signaling contributes to major depressive disorder, yet circuit‐level mechanisms remain unclear. Here, the ECCCK→BLA pathway is identified as a critical regulator of affective behavior. mGluR5 modulates synaptic function and CCK signaling within this circuit, controlling stress susceptibility and depressive‐like states ...
Muhammad Asim, Huajie Wang, Gao Qianqian, Abdul Waris, Jufang He   +4 more
wiley   +1 more source

Effect of cumulative family risk on non-suicidal self-injury among Chinese adolescents: a longitudinal moderated mediation model. [PDF]

BMC Public Health
Xu Y, Guo C, Yang B.
europepmc   +1 more source

ESCRT‐Mimetic Nanodegrader Targets STING for Anti‐Inflammatory Therapy

Advanced Science, EarlyView.
A nanoplatform‐enabled targeted protein degradation strategy is presented to regulate aberrant STING signaling. STING‐ATTEC induces selective autophagic degradation of STING via formation of a STING–ATTEC–LC3 ternary complex, while the cationic FA‐LNP+ system enhances LC3 generation and targeted delivery. Together, this synergistic approach efficiently
Fuyuan Zhou, Qiming Zhai, Zhihao Yao, Qing Li, Yan Yang, Si Wang, Chao Huang, Liangjing Xin, Tao Chen, Jinlin Song   +9 more
wiley   +1 more source

Scientific integrity from a meta-ethical perspective: more contextualization and research ethics committees? A preliminary meta-ethics study. [PDF]

BMC Res Notes
Stoeklé HC, Lasterie R, Hervé C.
europepmc   +1 more source

A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection

Advanced Science, EarlyView.
A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang, Jiahao Li, Zhuying Yue, Beixuan He, Wenhua Zhang, Zhen Fang, Qing Xia, Yingbin Liu, Yanjing Li   +8 more
wiley   +1 more source

Through the extended evolutionary meta-model, and what ACT found there: ACT as a process-based therapy. [PDF]

J Contextual Behav Sci
Ong CW, Ciarrochi J, Hofmann SG, Karekla M, Hayes SC.   +4 more
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Constructing a predictive model of negative academic emotions in high school students based on machine learning methods. [PDF]

Sci Rep
Ma S, Jia N, Wei X, Zhang W.
europepmc   +1 more source