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Kinetic analysis and comparison of the coking behavior of coal Tar oil
Towards an interoperable perovskite description or how to keep track of 300 perovskite ions
Abstract Hybrid perovskites are interesting optoelectronic materials. The perovskite ABX3 structure offers a vast compositional space, and we have identified over 300 perovskite ions. This flexibility enables tuneable properties and has significantly contributed to the success of perovskite optoelectronics. However, this diversity also leads to confusion, ambiguity, and inconsistencies causing challenges for data mining and machine learning applications. To address this issue, we propose guidelines and a JSON schema to standardize the reporting of perovskite compositions. The schema adheres to IUPAC recommendations and is designed to make data both human- and machine-readable. It captures key descriptors such as perovskite composition, molecular formula, SMILES representation, IUPAC name, and CAS number for each ion. To facilitate adoption, we have developed utilities to automatically generate comprehensive and standardized perovskite descriptions from standard ion abbreviations and stoichiometric coefficients. Additionally, we provide a curated database of all identified perovskite ions with associated descriptive data.
Impact of a liquid spray on flow characteristics of carbonized slag in a hot fluidized bed
Normalizing images in various weather and lighting conditions using ColorPix2Pix generative adversarial network
Inhibition of ICAM1 diminishes stemness and enhances antitumor immunity in glioblastoma via β-catenin/PD-L1 signaling
Characterization of vaginal prokaryotes and eukaryotes microbiota and its link to sexually transmitted infections
Selective dehydrogenation of cyclohexanol to cyclohexanone over biomorphic Cu/ZnO catalysts
TP63 mediates the generation of tumour-specific chromatin loops that underlie MYC activation in radiation-induced tumorigenesis
Artificial intelligence based platform for the automatic and simultaneous explainable detection of apnoea, oxygen desaturation, and artefacts in paediatric polygraphy exams (REST)
Transcriptomic profiling to investigate the therapeutic potential and medicinal properties of Momordica cymbalaria
Keratinocyte-specific H4K12 lactylation drives a non-canonical IL-17-dependent signaling in psoriasis progression in mice
Prevalence and associated factors of overweight and obesity among adult women in Tanzania from the 2022 Tanzania Demographic and Health Survey
A comprehensive study of the upcycling of litchi chinensis waste into a sustainable transesterification catalyst
Cell-type-specific functionality encoded within the intrinsically disordered regions of OCT4
Abstract The cell-type-specific function of transcription factors (TFs) is crucial for determining cellular identity. However, it is unclear how a single TF can function specifically in different cell types. Here, we define the molecular features that enable OCT4 to reprogram somatic cells into pluripotent or trophoblast stem cells, maintain the self-renewal of embryonic stem cells (ESCs), and drive lineage commitment during early embryonic development. Embedded within the intrinsically disordered regions (IDRs) of OCT4, we uncover short linear peptides that are essential for reprogramming (SLiPERs) but dispensable for ESC self-renewal. SLiPERs adopt a quasi-ordered state and, during reprogramming, recruit a unique set of proteins to closed chromatin that are unnecessary for ESC self-renewal. Interestingly, SLiPERs are essential for embryos to develop beyond late gastrulation. Removing SLiPERs leads to aberrant OCT4 binding, derailing the regular transition of ESCs out of pluripotency. Our findings identify modules within IDRs that contribute to the functional versatility and specificity of TFs.