CHAPTER FIVE. THE PARTING OF THE WAYS HAD GREEK ROAD SIGNS: POSTURE, DEPORTMENT AND THE PHILOSOPHICAL MARKETPLACE IN THE FRAME NARRATIVE OF JUSTIN MARTYR’S DIALOGUE WITH TRYPHO

2020 ◽  
pp. 217-260
Author(s):  
Shanna J. Ward ◽  
Michael S. Wogalter ◽  
Andrew W. Mercer
Keyword(s):  

Author(s):  
Abeer AlNajjar

This book aims to shed light on core questions relating to language and society, language and conflict, and language and politics, in relation to a changing Middle East. While the book focuses on Arabic, it goes way beyond a purely linguistic analysis by bringing to the fore a set of pressing questions about the relationship between Arabic and society. For example, it touches on the development of language policy via an examination of administrative mandates (top-down) in contrast to grassroots initiatives (bottom-up); the deeper layers of the linguistic landscape that highlight the connection between politics, conflict, identity, road signs and street names; Arabic studies and Arabic identity and the myriad ways countries deal simultaneously with globalisation while also seeking to strengthen local and national identity, and more.


Author(s):  
Grant Tapsell

Although the Church of England was formally re-established by the Act of Uniformity (1662), the narrow terms of the religious ‘settlement’ dismayed many and prompted a very significant schism in English Protestantism. The Revolution of 1688/9 prompted a further parting of the ways, with many refusing to recognize William and Mary as sovereigns and thus becoming ‘non-jurors’. Nevertheless, if the later Stuart Church was often buffeted by external threats, and locked in internecine polemical warfare, it was also boosted by phases of renewal that found expression in both physical fabric and devotional activity. In this chapter two approaches to the later Stuart Church are adopted in successive sections: a descriptive account of events and issues, and a definitional analysis of what, ultimately, ‘the Church of England’—its character and compass—meant in this period.


2021 ◽  
Vol 19 (2) ◽  
pp. 178-204
Author(s):  
Timothy A. Gabrielson

Since the early 1990s, ‘the parting of the ways’ has become academic shorthand, especially in anglophone scholarship, for the separation of Jews and Christians in antiquity. Often it is associated with a onetime, global break that occurred by the end of the second century, particularly over one or more theological issues. This model has been challenged as being too tidy. Other images have been offered, most notably that of ‘rival siblings’, but the ‘parting’ model remains supreme. Consensus has shifted in other ways, however. The ‘parting’, or better, ‘partings’, is now understood to be a localized, protracted, and multifaceted process that likely began in the second century and continued into or past the fourth century. It is also suggested here that the current debate covers five distinguishable topics: (1) mutual religious recognition, (2) the continued existence of ‘Jewish Christians’, (3) religious interaction, (4) social concourse, and (5) outsider classification.


2021 ◽  
Vol 13 (5) ◽  
pp. 879
Author(s):  
Zhu Mao ◽  
Fan Zhang ◽  
Xianfeng Huang ◽  
Xiangyang Jia ◽  
Yiping Gong ◽  
...  

Oblique photogrammetry-based three-dimensional (3D) urban models are widely used for smart cities. In 3D urban models, road signs are small but provide valuable information for navigation. However, due to the problems of sliced shape features, blurred texture and high incline angles, road signs cannot be fully reconstructed in oblique photogrammetry, even with state-of-the-art algorithms. The poor reconstruction of road signs commonly leads to less informative guidance and unsatisfactory visual appearance. In this paper, we present a pipeline for embedding road sign models based on deep convolutional neural networks (CNNs). First, we present an end-to-end balanced-learning framework for small object detection that takes advantage of the region-based CNN and a data synthesis strategy. Second, under the geometric constraints placed by the bounding boxes, we use the scale-invariant feature transform (SIFT) to extract the corresponding points on the road signs. Third, we obtain the coarse location of a single road sign by triangulating the corresponding points and refine the location via outlier removal. Least-squares fitting is then applied to the refined point cloud to fit a plane for orientation prediction. Finally, we replace the road signs with computer-aided design models in the 3D urban scene with the predicted location and orientation. The experimental results show that the proposed method achieves a high mAP in road sign detection and produces visually plausible embedded results, which demonstrates its effectiveness for road sign modeling in oblique photogrammetry-based 3D scene reconstruction.


Author(s):  
Charles Atombo ◽  
Emmanuel Gbey ◽  
Apevienyeku Kwami Holali

Abstract Traffic accidents on highways are attributed mostly to the "invisibility" of oncoming traffic and road signs. "Speeding" also causes drivers to reduce the effective radius of the vehicle path in the curve, thus trespassing into the lane of the oncoming traffic. The main aim of this paper was to develop a multisensory obstacle-detection device that is affordable, easy to implement and easy to maintain to reduce the risk of road accidents at blind corners. An ultrasonic sensor module with a maximum measuring angle of 15° was used to ensure that a significant portion of the lane was detected at the blind corner. The sensor covered a minimum effective area of 0.5 m2 of the road for obstacle detection. Yellow light was employed to signify caution while negotiating the blind corner. Two photoresistors (PRs) were used as sensors because of the limited number of pins on the microcontroller (Arduino Uno). However, the device developed for this project achieved obstacle detection at blind corners at relatively low cost and can be accessed by all road users. In real-world applications, the use of piezoelectric accelerometers (vibration sensors) instead of PR sensors would be more desirable in order to detect not only cars but also two-wheelers.


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