Relationship between bridging and dimensions of sella turcica with classification of craniofacial skeleton

Purpose: In orthodontics, it is essential to determine the craniofacial skeleton pattern (class I, II, III) for planning treatment. Sella turcica bridging that is seen on lateral cephalometric radiographs is considered as a normal finding. This study aimed to compare sella turcica bridging and its dimensions in patients with various craniofacial patterns. Material and methods: A total of 105 lateral cephalometric radiographs (53 men and 52 women), aged 14-26 years, were randomly and equally assigned to three groups of class I, II, and III, respectively. The length, diameter, and depth of the sella turcica as well as sella turcica bridging were determined on radiographs. The chi-squared test was used for assessing the relationship between sella turcica bridging and craniofacial skeleton classification. ANOVA was used for assessing the relationship between the dimensions of the sella turcica and craniofacial skeleton classification. The Pearson's correlation coefficient was used for assessing the relationship between age and the dimensions of the sella turcica. Results: The sella turcica had a normal shape in 64.76% of patients, whereas 35.33% of patients had sella turcica bridging. In total, 11.42% of patients belonged to class I, 34.28% to class II, and 66.62% to class III. The diameter of the sella turcica had a significant relationship with age; the diameter of the sella turcica increased with age (p < 0.001). Conclusions: There is a significant relationship between craniofacial skeleton patterns and sella turcica bridging, i.e., the incidence of sella turcica bridging is higher in class III patients. The sella turcica had a greater diameter in older patients

Bridging transitions for spheres and cylinders

We study bridging transitions between spherically and cylindrically shaped particles (colloids) of radius $R$ separated by a distance $H$ that are dissolved in a bulk fluid (solvent). Using macroscopics, microscopic density functional theory and finite-size scaling theory we study the location and order of the bridging transition and also the stability of the liquid bridges which determines spinodal lines. The location of the bridging transitions is similar for cylinders and spheres, so that for example, at bulk coexistence the distance $H_b$ at which a transition between bridged and unbridged configurations occurs, is proportional to the colloid radius $R$. However all other aspects, and, in particular, the stability of liquid bridges, are very different in the two systems. Thus, for cylinders the bridging transition is typically strongly first-order, while for spheres it may be first-order, critical or rounded as determined by a critical radius $R_c$. The influence of thick wetting films and fluctuation effects beyond mean-field are also discussed in depth

Bridging the Gap

School districts across the country are increasingly seeking out digital tools to support the work of educators, in the hopes of improving students' academic achievement. With the rapid emergence of this new market, many districts have been challenged by the task of identifying and procuring educational technology (ed-tech) products that match the needs of their educators and students.The NYC Department of Education's "Innovate NYC Schools" division, supported by a U.S. DOE Investing in Innovation (i3) grant, aims to address this problem, in part by promoting "user-centered design," an approach that puts the needs and preferences of products' intended users (in this case, teachers, students, and parents) front and center in the development and procurement of new technology.Bridging the Gap describes the design and implementation of three Innovate NYC Schools initiatives grounded in user-centered design theory:School Choice Design Challenge (SCDC),an effort to develop apps that would help students explore and narrow down their choices of high school.#SharkTankEDU events, during which ed-tech developers present a product to a panel of educators who provide feedback on the tool.Short-Cycle Evaluation Challenges (SCEC), a classroom-based, semester-long pilot of ed-tech tools intended to inform product development, as well as the ultimate procurement decisions of school staff.The report focuses on four phases of work involved in bringing ed-tech companies and the users of their products together: defining a problem; selecting users and ed-tech companies; implementing pilot-based initiatives; and evaluating products. It describes strategies used and challenges faced, and offers practical lessons gleaned from the experiences of the individuals who designed and participated in these efforts.

Bridging Organizational Silos

{Excerpt} A silo is a tall, self-contained cylindrical structure that isused to store commodities such as grain after a harvest. It is also a figure of speech for organizational entities—and their management teams—that lack the desire or motivation to coordinate (at worst, even communicate) with other entities in the same organization. Wide recognition of the metaphor intimates that structural barriers in sizable organizations often cause units to work against one another: silos, politics, and turf wars are often mentioned in the same breath. An organization is a social arrangement to pursue a collective intent. Coordination, and the requisite communication it implies, is fundamental to organizational performance toward that. Yet, many organizations grapple with the challenge of connecting the subsystems they have devised to enhance specific contributing functions. Here and there, organizational, spatial, and social boundaries impede—when they do not block—the flows of knowledge needed to make full use of capabilities. High costs are borne from duplication of effort, inconsistencies, and inefficiencies. Everywhere, large organizations must move from managing silos to managing systems

Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings

In neural machine translation, a source sequence of words is encoded into a vector from which a target sequence is generated in the decoding phase. Differently from statistical machine translation, the associations between source words and their possible target counterparts are not explicitly stored. Source and target words are at the two ends of a long information processing procedure, mediated by hidden states at both the source encoding and the target decoding phases. This makes it possible that a source word is incorrectly translated into a target word that is not any of its admissible equivalent counterparts in the target language. In this paper, we seek to somewhat shorten the distance between source and target words in that procedure, and thus strengthen their association, by means of a method we term bridging source and target word embeddings. We experiment with three strategies: (1) a source-side bridging model, where source word embeddings are moved one step closer to the output target sequence; (2) a target-side bridging model, which explores the more relevant source word embeddings for the prediction of the target sequence; and (3) a direct bridging model, which directly connects source and target word embeddings seeking to minimize errors in the translation of ones by the others. Experiments and analysis presented in this paper demonstrate that the proposed bridging models are able to significantly improve quality of both sentence translation, in general, and alignment and translation of individual source words with target words, in particular.Comment: 9 pages, 6 figures. Accepted by ACL201

The influence of toughening-particles in CFRPs on low velocity impact damage resistance performance

The role of particle-toughening for increasing impact damage resistance in carbon fibre reinforced polymer (CFRP) composites was investigated. Five carbon fibre reinforced systems consisting of four particle-toughened matrices and one system containing no toughening particles were subjected to low velocity impacts ranging from 25 J to 50 J to establish the impact damage resistance of each material system. Synchrotron radiation computed tomography (SRCT) enabled a novel approach for damage assessment and quantification. Toughening mechanisms were detected in the particle-toughened systems consisting of particle–resin debonding, crack-deflection and crack-bridging. Quantification of the bridging behaviour, increase in crack path length and roughness was undertaken. Out of the three toughening mechanisms measured, particle systems exhibited a larger extent of bridging suggesting a significant contribution of this toughening mechanism compared to the system with no particle