Showing results (51-60 of 63) with videos related to

Sort By:
Pageof 7
Plos One|March 20, 2026
No Thesis, No Future! Exploring the associations between research inaccessibility and suicidal ideationMd Abu Huraira, Md Maruf Khan, Momotaj Begum, et al.
Molecular Psychiatry|June 6, 2022
Phosphoproteomic of the acetylcholine pathway enables discovery of the PKC-β-PIX-Rac1-PAK cascade as a stimulatory signal for aversive learningYukie Yamahashi, You-Hsin Lin, Akihiro Mouri, et al.
Optics Express|May 4, 2026
Characterization studies of photonic wire bonding for fiber array integrationMd Omar Faruk Rasel, Yash Kabra, Peng Yao, et al.
Computers in Biology and Medicine|June 8, 2026
Computational analysis of bulk and single-cell RNAseq identifies prognostic signature genes in papillary renal cell carcinoma with Y chromosome lossSyeda Tasnuba Sultana Erina, Fariha Jannat, Tahmina Akter Tahin, et al.
RSC Advances|November 28, 2025
Water and electricity consumption patterns with effluent quality in the textile processing industry of BangladeshSayam Sayam, Nayan Das, Sumiya Akter, et al.
Computational Biology and Chemistry|April 25, 2026
Unveiling the antifungal potential of Xantolis assamica methanolic leaf extract: A phytochemical investigation and in silico analysisMd Atikur Rahman, Shoeb Ahmad, Md Omar Faruk, et al.
Cell Reports|September 7, 2022
Dopamine drives neuronal excitability via KCNQ channel phosphorylation for reward behaviorDaisuke Tsuboi, Takeshi Otsuka, Takushi Shimomura, et al.
Journal of Autism and Developmental Disorders|September 25, 2020
An Exploration of Physical and Phenotypic Characteristics of Bangladeshi Children with Autism Spectrum DisorderMd Ashiquir Rahaman, Maksuda Lopa, K M Furkan Uddin, et al.
Science Signaling|September 10, 2024
Signal flow in the NMDA receptor-dependent phosphoproteome regulates postsynaptic plasticity for aversive learningYasuhiro Funahashi, Rijwan Uddin Ahammad, Xinjian Zhang, et al.
The International Journal of Social Psychiatry|August 16, 2025
Research experience and career factors in relation to mental health problems: Prevalence, risk factors, and machine learning-based predictive estimatesMohammed A Mamun, Md Abu Huraira, Momotaj Begum, et al.
Pageof 7