A 2D-3D non-contact anthropometric method for daily dressing state-takes young Asian women as example

Taking young Asian women as research object, this paper is to develop a 2D-3D non-contact body measurement and calculation method for daily dressing state used to generate the CWH (chest, waist, and hip) circumferences suitable for garment practical applications. The general research approach is ‘analyzing related curves of human body, finding their fitting functions and length calculating formulas through mathematical analysis and measuring experiment with large number of samples – extracting effective feature points data in daily dressing state by dynamic and static experiments – calculating such dimensions as width and thickness after curve fitting – generating CWH circumferences via formulas and making comparison’. The numerical results validate the 2D-3D method presented in this paper as a useful and effective approach. Being different from other 3D non-contact measuring methods, the authors provide a new way to get the CWH measurements in the condition of daily natural dressing, which not only optimizes the non-contact anthropometrics theory, but also breaks the static measuring mode. Furthermore, the bringing forth of the concept of ‘daily dressing state’ and the laboratory experiments of this paper would be worthy for practical use

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out

With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedback effect, a novel component in IA-user interactions: how the capabilities and limitations of the IA influence user behavior over time. First, we demonstrate that unhelpful responses from the IA cause users to delay or reduce subsequent interactions in the short term via an observational study. Next, we expand the time horizon to examine behavior changes and show that as users discover the limitations of the IA's understanding and functional capabilities, they learn to adjust the scope and wording of their requests to increase the likelihood of receiving a helpful response from the IA. Our findings highlight the impact of the feedback effect at both the micro and meso levels. We further discuss its macro-level consequences: unsatisfactory interactions continuously reduce the likelihood and diversity of future user engagements in a feedback loop.Comment: PAKDD 202

Plasmodium falciparumvar Gene Is Activated by Its Antisense Long Noncoding RNA

Plasmodium falciparum erythrocyte membrane protein 1, encoded by var gene, is an immunodominant antigen mediating immune evasion in humans. At a given time, only a single var gene is commonly expressed in one parasite. However, the regulation mechanism of var transcription remains largely unknown. In this study, we identified the antisense long non-coding RNA (aslncRNA) derived from var intron as an activation factor for the corresponding var gene. The exogenous artificial var aslncRNA transcribed by T7 RNA polymerase from episome can specifically activate the homologous var gene, and the exogenous aslncRNA activates transcription of both var mRNA and endogenous aslncRNA in a manner independent of the conserved intron sequence within the var gene family. Interestingly, the newly activated var gene and the previously dominant var gene then could be co-expressed in the same parasite nuclei, which suggests that the aslncRNA-mediated var gene activation could escape from the control of mutually exclusively expression of the var gene family. Together, our work shows that var aslncRNA is the activator responsible for var gene transcriptional regulation

Women Under Kuomintang R ule Variations on the Feminine Mystique

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68360/2/10.1177_009770047500100101.pd