We present Dragon TF Association Miner (DTFAM), a system for text-mining of PubMed documents for potential functional association of transcription factors (TFs) with terms from Gene Ontology (GO) and with diseases. DTFAM has been trained and tested in the selection of relevant documents on a manually curated dataset containing >3000 PubMed abstracts relevant to transcription control. On our test data the system achieves sensitivity of 80% with specificity of 82%. DTFAM provides comprehensive tabular and graphical reports linking terms to relevant sets of documents. These documents are color-coded for easier inspection. DTFAM complements the existing biological resources by collecting, assessing, extracting and presenting associations that can reveal some of the not so easily observable connections among the entities found which could explain the functions of TFs and help decipher parts of gene transcriptional regulatory networks. DTFAM summarizes information from a large volume of documents saving time and making analysis simpler for individual users. DTFAM is freely available for academic and non-profit users at http://research.i2r.a-star.edu.sg/DRAGON/TFAM/.

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In recent years, diverse stimuli‐responsive allochroic materials have rapidly been developed, and smart materials with mechanochromic properties in particular have received increasing attention. This is because force fields have the advantage of being large and controllable compared to other stimulation modalities. Mechanochromic polymers mainly convert mechanical force signals into optical signals, which makes them suitable for applications in bionic actuators, encryption, and signal sensing. In this review, we summarize recent research progress in the design and development of mechanochromic polymers that are classified into two categories. The first category comprises those based on mechanophores that are physically dispersed in polymer matrices in the form of supramolecular aggregates. The second category comprises those based on mechanophores that are covalently linked to polymer networks. We focus on the working mechanisms of the mechanophores and their potential applications, which include damage monitoring and signal sensing.

This study proposed a hybrid periodic carrier frequency modulation (HPCFM) technique based on the modified space vector pulse-width modulation (SVPWM) for two-level three-phase voltage source inverters to eliminate the PWM noise. Owing to PWM technique and switching losses considerations, ear-piercing high-frequency acoustic noise from motor is common. The proposed HPCFM technique is able to remove the high-frequency unpleasant acoustic noise more effectively than conventional PCFM with lower switching losses and shorter frequency range. In addition, the PWM harmonics in phase voltage and phase current are reduced significantly. Furthermore, the HPCFM method is simple to implement and does not employ additional circuits in drive system. The effectiveness of the proposed approach has been confirmed by detailed experimental results.

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