A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

“…The model uses multiple transformer encoder blocks to encode user utterances and initializes encoder parameters with a pre-trained BERT. …”
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GENES DETERMINING THE SYNTHESIS OF LAVONOID AND MELANIN PIGMENTS IN BARLEY by O. Yu. Shoeva, K. V. Strygina, E. K. Khlestkina

“…Since the 1970s, structural genes that encode the enzymes of lavonoid metabolism, as well as regulatory genes that determine the tissue-speciic accumulation of these pigments in grain tissues, as well as in vegetative organs have been identiied and localized in the barley genome. …”
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Applications of Recombinant Dna Technology in Gastrointestinal Medicine and Hepatology: Basic Paradigms of Molecular Cell Biology. Part B: Eukaryotic Gene Transcription and Post-Tr... by Gary E Wild, Patrizia Papalia, Mark J Ropeleski, Julio Faria, Alan BR Thomson

“…Eukaryotic gene transcription  involves several different RNA polymerases that interact with a host of transcription factors to initiate transcription. Genes that encode proteins are transcribed into messenger RNA (mRNA) by RNA polymerase II. …”
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Blueprint for a high-performance biomaterial: full-length spider dragline silk genes. by Nadia A Ayoub, Jessica E Garb, Robin M Tinghitella, Matthew A Collin, Cheryl Y Hayashi

“…Here we describe the first full-length spider silk gene sequences and their flanking regions. These genes encode the MaSp1 and MaSp2 proteins that compose the black widow's high-performance dragline silk. …”
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Are We Moving Too Fast?: Representation of Speed in Static Images by Irmak Hacımusaoğlu, Neil Cohn

“…Motion lines, which index the path being traversed, remained less effective than suppletion and backfixing lines, which we argue encode the speed component of motion rather than directionality. …”
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The Role of the Enterohepatic Circulation of Bile Salts and Nuclear Hormone Receptors in the Regulation of Cholesterol Homeostasis: Bile Salts as Ligands for Nuclear Hormone Recept... by Richard N Redinger

“…It is the coordinated action of LXR and FXR, each dimerized to retinoid X receptor, that signal nuclear DNA response elements to encode proteins that prevent excessive cholesterol accumulation and bile salt toxicity, respectively. …”
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Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates by João Neto, Abhishek Singh Dahiya, Ravinder Dahiya

“…Abstract The intriguing way the receptors in biological skin encode the tactile data has inspired the development of electronic skins (e-skin) with brain-inspired or neuromorphic computing. …”
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Genetic Variants Related to Increased CKD Progression—A Systematic Review by Filipe S. Mira, Bárbara Oliveiros, Isabel Marques Carreira, Rui Alves, Ilda Patrícia Ribeiro

“…Several genetic variants were identified in genes that encode proteins related to metabolic processes, oxidative stress, immune regulation, the renin–angiotensin–aldosterone pathway, and epigenetics, among others. …”
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CAG Expansion in Androgen Receptor Gene of Infertile Men in Erbil Governorate by Dashne Abdulla Salih, Karim Jalal Karim

“…This gene has a polymorphism site in Exon1 which encode androgen receptor and have various length of CAG trinucleotide repeat which causes the production of polyglutamine chain in different length of the N-terminal domain of AR protein which reduces producing sperm by disrupting spermatogenesis. …”
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Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases by Min Kyung Sung, Hyoeun Bang, Jung Kyoon Choi

“…We showed that epistatic single-nucleotide polymorphisms (SNPs) were enriched in enhancers, as well as in DNase I footprints (the Encyclopedia of DNA Elements [ENCODE] Project Consortium 2012), which suggested that the disruption of the regulatory regions where transcription factors bind may be involved in the disease mechanism. …”
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Parabrachial CGRP neurons modulate active defensive behavior under a naturalistic threat by Gyeong Hee Pyeon, Hyewon Cho, Byung Min Chung, June-Seek Choi, Yong Sang Jo

“…Our electrophysiological results revealed that CGRP neurons encode the intensity of aversive stimuli through variations in firing durations and amplitudes. …”
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Sideroflexin family genes were dysregulated and associated with tumor progression in prostate cancers by Hua Huang, Huibo Lian, Wang Liu, Benyi Li, Runzhi Zhu, Haiyan Shao

“…Abstract Sideroflexin (SFXN) family genes encode for a group of mitochondrial proteins involved in cellular processes such as iron homeostasis, amino acid metabolism, and energy production. …”
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Probe‐Based Mechanical Data Storage on Polymers Made by Inverse Vulcanization by Abigail K. Mann, Samuel J. Tonkin, Pankaj Sharma, Christopher T. Gibson, Justin M. Chalker

“…This property is leveraged in mechanical indentation to encode information, and thermal S─S metathesis and polymer re‐flow to erase. …”
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Creativity in children’s speech development: a case study of Persian speaking children by Samad Mirza Suzani

“…Alternatively, the innovations that do not conform to the adult forms indicate that children have not learned the exceptions to the rules and less productive inflections conveying the same meaning; or may tend to convey the message from their own perspectives and to encode the events accordingly. The small sample used was a limitation of this study, nonetheless to arrive at broader generalizations, more supporting evidence from conducting studies on children’s differences, their social interaction with others, and the role of linguistic input are recommended. …”
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Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems by Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian

“…The GNN component captures spatial dependencies by representing the data as a graph, where nodes correspond to system variables, and edges encode their relationships. Temporal dependencies are modeled using temporal convolutional layers and recurrent neural networks (RNNs), enabling the framework to learn both short-term variations and long-term trends. …”
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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…Moreover, we propose an integrated end-to-end neural network learning framework based on one complete encoder-decoder architecture transformer model: Transfer Text-to-Text Transformer (T5), by learning the embedding vector representation space of conditional molecular properties to encode and guide the vector representation of SMILES sequences, resulting in the output of the final decoder block with a softmax output (maximum likelihood objective). …”
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Characterization of Nora Virus Structural Proteins via Western Blot Analysis by Brad L. Ericson, Darby J. Carlson, Kimberly A. Carlson

“…The coding potentials of the ORFs are not fully characterized, but ORF3 and ORF4 are believed to encode the capsid proteins (VP3, VP4a, VP4b, and VP4c) comprising the virion. …”
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Hierarchical Task-Parameterized Learning from Demonstration for Collaborative Object Movement by Siyao Hu, Katherine J. Kuchenbecker

“…Compared to a standard implementation that encodes all demonstrations together for all test situations, the proposed approach offers four advantages. …”
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Devaluing memories of reward: a case for dopamine by Benjamin R. Fry, Nicolette Russell, Victoria Fex, Bing Mo, Nathan Pence, Joseph A. Beatty, Fredric P. Manfredsson, Brandon A. Toth, Christian R. Burgess, Samuel Gershman, Alexander W. Johnson

“…Abstract Midbrain dopamine cells encode differences in predictive and expected value to support learning through reward prediction error. …”
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CUL4-Based Ubiquitin Ligases in Chromatin Regulation: An Evolutionary Perspective by Makiko Nakagawa, Tadashi Nakagawa

“…Although Cullin (CUL) proteins lack intrinsic enzymatic activity, they participate in the formation of active ubiquitin ligase complexes, known as Cullin-Ring ubiquitin Ligases (CRLs), through their association with ROC1 or ROC2, along with substrate adaptor and receptor proteins. Mammalian genomes encode several CUL proteins (CUL1–9), each contributing to distinct CRLs. …”
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