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2022 ◽  
Julie De Groot

How did citizens in Bruges create a home? What did an ordinary domestic interior look like in the sixteenth century? And more importantly: how does one study the domestic culture of bygone times by analysing documents such as probate inventories? These questions seem straightforward, yet few endeavours are more challenging than reconstructing a sixteenth-century domestic reality from written sources. This book takes full advantage of the inventory and convincingly frames household objects in their original context of use. Meticulously connecting objects, people and domestic spaces, the book introduces the reader to the rich material world of Bruges citizens in the Renaissance, their sensory engagement, their religious practice, the role of women, and other social factors. By weaving insights from material culture studies with urban history, At Home in Renaissance Bruges offers an appealing and holistic mixture of in-depth socio-economic, cultural and material analysis. In its approach the book goes beyond heavy-handed theories and stereotypes about the exquisite taste of aristocratic elites, focusing instead on the domestic materiality of Bruges’ middling groups. Evocatively illustrated with contemporary paintings from Bruges and beyond, this monograph shows a nuanced picture of domestic materiality in a remarkable European city.

2029 ◽  
Vol 89 (Primer Cuatrimestre) ◽  
pp. 83-100
Lorena Cortés Martínez ◽  
Laura Lacomba-Trejo ◽  
Marián Pérez-Marín

Appetite ◽  
2022 ◽  
Vol 169 ◽  
pp. 105851
Carlos Penilla ◽  
Jeanne M. Tschann ◽  
Lauri A. Pasch ◽  
Elena Flores ◽  
Julianna Deardorff ◽  

2022 ◽  
Vol 156 ◽  
pp. 133-151
Debapriya Chakraborty ◽  
David S. Bunch ◽  
David Brownstone ◽  
Bingzheng Xu ◽  
Gil Tal

Kiran Poudel

Abstract: This paper describes the techniques for design and development of areca-nut leaf plate making machine which uses manual power (foot operated) as the main power source. The primary purpose of this research is the utilization of generally wasted areca-nut leaf sheath for the production of bio-degradable areca-nut leaf plates by the development of machine, which can be operated easily at home. This machine mainly uses mild steel for the development of the parts such as lower and upper die, frame, pedal, connecting links and shafts. The force applied at the pedal is transferred to moving upper die, which then presses the areca-nut leaf sheath placed above the fixed lower die, resulting areca-nut leaf sheath plates within 15 seconds of pressing. Keywords: Areca-nut leaf, Bio degradable, Foot operated

2022 ◽  
pp. 139-154
Paolo Boccagni

Alicia B. W. Clifton ◽  
Shivan J. Mehta ◽  
Jocelyn V. Wainwright ◽  
Shannon N. Ogden ◽  
Chelsea A. Saia ◽  

10.29007/bg75 ◽  
2022 ◽  
Nguyen Xuan Nguyen Pham ◽  
Thi Tham Tran ◽  
Minh Thang Do ◽  
Ngoc Bao Duy Tran

As society develops, many aspects of life are concerned by people, including facial skincare, avoiding acne-related diseases. In this work, we will propose a complete solution for treating acne at home, including 4 processors. First, the anomaly detector uses image processing techniques by Multi-Threshold and Color Segmentation, depending on each color channel corresponding to each type of acne. The sensitivity of the detector is 89.4%. Second, the set of anomalies classifiers into 6 main categories, including 4 major acne types and 2 non-acne types. By applying the convolutional neural model, the accuracy, sensitivity, and F1 are 84.17%, 81.5%, and 82%, respectively. Third, the acne status assessment kit is based on the mGAGS method to classify the condition of a face as mild, moderate, severe, or very severe with an accuracy of 81.25%. Finally, the product recommender, which generalizes from the results of the previous processors with an accuracy of 70-90%. This is the premise that helps doctors as well as general users to evaluate the level of acne on a face effectively and save time.

Ayuto Kodama ◽  
Yu Kume ◽  
Sangyoon Lee ◽  
Hyuma Makizako ◽  
Hiroyuki Shimada ◽  

Background: Recent longitudinal studies have reported proportion of frailty transition in older individuals during the COVID-19 pandemic. Our study aimed at clarifying the impact of social frailty in community-dwelling older adults during the COVID-19 pandemic and at identifying factors that can predict transition to social frailty. Methods: We performed this study from 2019 (before declaration of the state of emergency over the rising number of COVID-19 cases) to 2020 (after declaration of the emergency). We applied Makizako’s social frail index to our study subjects at the baseline and classified into robust, social prefrailty, and social frailty groups. Multiple logistic regression analysis was performed using robust, social prefrailty, or social frailty status as dependent variable. Results: Analysis by the Kruskal–Wallis test revealed significant differences in the score on the GDS-15 among the robust, social prefrailty, and social frailty groups (p < 0.05). Furthermore, multiple regression analysis identified a significant association between the social frailty status and the score on GDS-15 (odds ratio, 1.57; 95% confidence interval (95% CI), 1.15–2.13; p = 0.001). Conclusion: The increase in the rate of transition of elderly individuals to the social frailty group could have been related to the implementation of the stay-at-home order as part of the countermeasures for COVID-19. Furthermore, the increased prevalence of depressive symptoms associated with the stay-at-home order could also have influenced the increase in the prevalence of social frailty during the COVID-19 pandemic.

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