This paper introduces a novel design concept for the development of efficient, sustainable Rocking-Wall Moment Frames (RWMFs) under seismic conditions. The proposed concepts lead to a novel structural configuration with provisions for Collapse Prevention (CP), Self-Centering (SC), reparability, performance control (PC), damage reduction, and energy based seismic analysis. It introduces the meri...

PURPOSE/OBJECTIVES To explore the feasibility of implementing centering prayer in chemotherapy treatment and assess its influence on mood, spiritual well-being, and quality of life in women with recurrent ovarian cancer. DESIGN Descriptive pilot study. SETTING Outpatient chemotherapy treatment suite in a large cancer center in the midwestern United States. SAMPLE A convenience sample of 1...

AIM The aim of this study was to compare canal transportation and centering ability of Twisted files (TF) and ProTaper (PT) files with conventional stainless steel (SS) K files. MATERIALS AND METHODS Thirty mandibular premolar teeth with root curvature of 25 to 35° were selected. The samples were randomly divided into three groups of 10 each according to the type of files used for instrumenta...

Centering was formulated as a model of the relationship between attentional state, the form of referring expressions, and the coherence of an utterance within a discourse segment (Grosz, Joshi and Weinstein, 1986; Grosz, Joshi and Weinstein, 1995). In this chapter, I argue that the restriction of centering to operating within a discourse segment should be abandoned in order to integrate centeri...

I propose that Mandarin 。-sentences (units marked by 。) are aspectual topiccomment sequences, where an initial update (terminating in a pause) introduces a topic state for comment by one or more clauses. Each comment anaphorically refers to the topic state via the aspect feature of the verbal predicate. This proposal explains why Mandarin 。-sentences have controversial boundaries, since speaker...

With the rapid development of deep learning technology, size and performance network continuously grow, making compression essential for commercial applications. In this paper, we propose a Feature Self Attention (FSA) module that extracts correlation information between hidden features new method distilling to compress model. FSA does not require special or match teacher model student By remov...