scholarly journals Learnings from User Digital Trail Post-Occupancy Evaluation before COVID-19 for Future Workplace Analysis and Design

Buildings ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 513
Author(s):  
Alicia Regodón ◽  
Enrique García-Navalón ◽  
Juvenal Santiso-Hernandez ◽  
Enrique Delgado-Rodriguez ◽  
Alfonso Garcia-Santos
Keyword(s):  
Office Work ◽  
Indoor Location ◽  
Analysis And Design ◽  
Traditional Assessment ◽  
Post Occupancy Evaluation ◽  
Health And Wellbeing ◽  
New Methods ◽  
Occupancy Rates ◽  
Space Capacity

Data are required for optimizing workplace design, assessing user experience, and ensuring wellbeing. This research focuses on the benefits of incorporating post-occupancy evaluation (POE) data analysis by studying the digital trail of employees generated by the existing Wi-Fi infrastructure of the office. The objective is to enable a safe return to offices through compliance with COVID-19 space-capacity regulations and in consideration of the health and wellbeing of employees. Workplaces, teams, and people have become more digitalized and therefore more mobile due to the globalization of knowledge and cutting-edge technological innovations, a process that has been accelerated by the COVID-19 crisis. Now, hybrid work and fully remote working routines are increasing in a significant number of companies. Nevertheless, with the return to the office, understanding how to calibrate spatial capacity is now key for workplaces and companies. Traditional assessment methods are obsolete; new methods that respond to mobility, changing occupancy rates, and comfort are essential. This paper analyzes, through the case study of a pre-COVID-19 activity-based office, the advantages of using digital indoor-location techniques (such as Wi-Fi networks, which additionally have the advantage of being previously installed in the majority of these spaces). The paper demonstrates that the incorporation of digital POE of user trends enabled a more seamless, accurate, and scalable return to a new normal office work scenario and an improved post-COVID-19 design of workplaces.

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design

2019 ◽  
Author(s):  
Niclas Ståhl ◽  
Göran Falkman ◽  
Alexander Karlsson ◽  
Gunnar Mathiason ◽  
Jonas Boström
Keyword(s):  
Reinforcement Learning ◽  
Short Term Memory ◽  
De Novo ◽  
De Novo Drug Design ◽  
Generative Process ◽  
New Methods ◽  
Multiparameter Optimization ◽  
Long Short Term Memory ◽  
New Compounds

<p>In medicinal chemistry programs it is key to design and make compounds that are efficacious and safe. This is a long, complex and difficult multi-parameter optimization process, often including several properties with orthogonal trends. New methods for the automated design of compounds against profiles of multiple properties are thus of great value. Here we present a fragment-based reinforcement learning approach based on an actor-critic model, for the generation of novel molecules with optimal properties. The actor and the critic are both modelled with bidirectional long short-term memory (LSTM) networks. The AI method learns how to generate new compounds with desired properties by starting from an initial set of lead molecules and then improve these by replacing some of their fragments. A balanced binary tree based on the similarity of fragments is used in the generative process to bias the output towards structurally similar molecules. The method is demonstrated by a case study showing that 93% of the generated molecules are chemically valid, and a third satisfy the targeted objectives, while there were none in the initial set.</p>

DESIGNING FOR AUTISM: AN ASPECTSS™ POST-OCCUPANCY EVALUATION OF LEARNING ENVIRONMENTS

2018 ◽  
Vol 12 (3) ◽  
pp. 308 ◽  
Author(s):  
Magda Mostafa
Keyword(s):  
Learning Environments ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Built Environments ◽  
Outdoor Learning ◽  
Learning Spaces ◽  
Post Occupancy Evaluation ◽  
8Th Grade ◽  
Evaluation Of Learning

The objective of this paper is to demonstrate the application of the Autism ASPECTSS™ Design Index in the Post-Occupancy Evaluation of existing learning environments for children along the autism spectrum. First published in 2014 this index outlines 7 design criteria that have been hypothesized to support environments conducive of learning for children with autism spectrum disorder (ASD). Using the index as a framework, this paper outlines a case study of a Post-Occupancy Evaluation (POE) of an existing pre-K-8th grade public charter purpose-built school for children on the autism spectrum. The tools used for the evaluation were: the ASPECTSS scoring of the school through a survey of teachers and administrators; on-site behavioral in-class observation; and focus groups of parents, teachers, staff and administrators. The results informed a design retro-fit proposal that strived to assess any ASPECTSS compliance issues and implement the index across the learning spaces, therapy spaces, support services and outdoor learning environments of the school. This paper will outline the application of the index and the resultant design from this process. The results will strive to present a scalable and replicable methodology and prototype for improving existing built environments for learners with ASD.

scholarly journals A Study on Indoor Particulate Matter Variation in Time Based on Count and Sizes and in Relation to Meteorological Conditions

2021 ◽  
Vol 13 (15) ◽  
pp. 8263
Author(s):  
Marius Bodor
Keyword(s):  
Particulate Matter ◽  
Meteorological Data ◽  
Monitoring Network ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Indoor Location ◽  
Particle Matter ◽  
Indoor Particulate Matter

An important aspect of air pollution analysis consists of the varied presence of particulate matter in analyzed air samples. In this respect, the present work aims to present a case study regarding the evolution in time of quantified particulate matter of different sizes. This study is based on data acquisitioned in an indoor location, already used in a former particulate matter-related article; thus, it can be considered as a continuation of that study, with the general aim to demonstrate the necessity to expand the existing network for pollution monitoring. Besides particle matter quantification, a correlation of the obtained results is also presented against meteorological data acquisitioned by the National Air Quality Monitoring Network. The transformation of quantified PM data in mass per volume and a comparison with other results are also addressed.

scholarly journals The Implementation of Visual Comfort Evaluation in the Evidence-Based Design Process Using Lighting Simulation

2021 ◽  
Vol 11 (11) ◽  
pp. 4982
Author(s):  
Anahita Davoodi ◽  
Peter Johansson ◽  
Myriam Aries
Keyword(s):  
Performance Metrics ◽  
Analysis Data ◽  
Evidence Based ◽  
Visual Comfort ◽  
Simulation Tools ◽  
Post Occupancy Evaluation ◽  
Lighting Simulation ◽  
Insight Into

Validation of the EBD-SIM (evidence-based design-simulation) framework, a conceptual framework developed to integrate the use of lighting simulation in the EBD process, suggested that EBD’s post-occupancy evaluation (POE) should be conducted more frequently. A follow-up field study was designed for subjective–objective results implementation in the EBD process using lighting simulation tools. In this real-time case study, the visual comfort of the occupants was evaluated. The visual comfort analysis data were collected via simulations and questionnaires for subjective visual comfort perceptions. The follow-up study, conducted in June, confirmed the results of the original study, conducted in October, but additionally found correlations with annual performance metrics. This study shows that, at least for the variables related to daylight, a POE needs to be conducted at different times of the year to obtain a more comprehensive insight into the users’ perception of the lit environment.

scholarly journals Factors supporting retention of health and wellbeing staff in Aboriginal health services: a strength-based case study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sara Deroy ◽  
Heike Schütze
Keyword(s):  
Health Service ◽  
Health Services ◽  
Aboriginal Health ◽  
Social Accountability ◽  
Cultural Safety ◽  
Staff Retention ◽  
Professional Advancement ◽  
Aboriginal Community ◽  
Health And Wellbeing

Abstract Background Aboriginal Community Controlled Health Services are fundamental to improving the health and welfare of Aboriginal peoples. A key element that contributes to the effectiveness of these services are Aboriginal health and wellbeing staff. However, Aboriginal health and wellbeing staff often suffer high rates of stress and burnout. Current literature focuses on proposed strategies to increase staff retention in Aboriginal Health Services, yet, there is limited information available showcasing what has actually worked. Method This was an intrinsic strengths-based case study of one regional Aboriginal Community Controlled Health Service. Semi-structured research yarning interviews were conducted with past and present staff employed in health and wellbeing roles to highlight the factors that staff felt contributed to their retention. Results Ten interviews were conducted between February and April 2018. Six key themes emerged: social accountability, teamwork and collaboration, cultural safety, supervision, professional advancement, and recognition. We add to the literature by identifying the importance of bi-directional communication, and showing that social accountability, teamwork and collaboration, cultural safety, supervision, professional advancement, and recognition continue to be important factors that contribute to health and wellbeing staff retention in Aboriginal Health Services. Conclusion This exemplar Aboriginal Health Service may provide insights into future strategies to improve staff retention in other health services.

Post-occupancy evaluation of outdoor spaces on the campus of the Federal University of Juiz de Fora, Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Clara Carvalho Tourinho ◽  
Sabrina Andrade Barbosa ◽  
Özgür Göçer ◽  
Klaus Chaves Alberto
Keyword(s):  
Critical Role ◽  
Future Research ◽  
Content Type ◽  
University Campuses ◽  
Post Occupancy Evaluation ◽  
Outdoor Spaces ◽  
The University ◽  
The Impact ◽  
Practical Implications

PurposeUsing the campus of a Brazilian university as case study, this research aims to identify which aspects of the outdoor spaces are the most significant in attracting people.Design/methodology/approachThis research relies on the application of different post-occupancy evaluation (POE) methods, including user tracking, behavioural mapping and questionnaires, on one plateau of the campus.FindingsThree group of aspects (socialization, proximity and infrastructure) were identified as key elements in explaining the impact of the campus physical characteristics on users’ behaviour. The results indicate that having characteristics of at least one group of aspects in those spaces can guarantee their vitality and, if there is presence of attributes of more than one group, liveliness can be increased.Research limitations/implicationsFurther studies should be conducted on an entire campus to identify other spatial elements in the three groups.Practical implicationsThis research contributes to the planning of future campuses and to solutions to the existed ones, indicating the most relevant spatial characteristics to be considered. Additionally, the combination of different methods may be useful to future research.Originality/valueMost of the investigations on the university campuses focus on the buildings, and little research has investigated the outdoor spaces, although they play a critical role in learning and academic life, where people establish social, cultural and personal relationships. In addition, studies using several POE allowed a consistent and complete diagnostic about the aspects of the campus, giving recommendations for future projects.

The Potential of The Hotel Industry In Pandemic Era Based On Finance Performance Point Of View, Case Study: Indonesia

2021 ◽  
Vol 1 (1) ◽  
pp. 111-123
Author(s):  
Anton Effendi ◽  
◽  
Bambang Hadi Prabowo
Keyword(s):  
Hospitality Industry ◽  
Stock Exchange ◽  
Hotel Industry ◽  
Secondary Data ◽  
Reliable Data ◽  
Point Of View ◽  
Threshold Autoregressive ◽  
Performance Point ◽  
Occupancy Rates

This article aims to investigate and analyze the potential of the hospitality industry by comparing the potential occupancy rates and hotel revenues of foreign and domestic tourists. This investigation uses an investigation of company data obtained from reports from hotel companies throughout Indonesia which are listed on the Indonesia Stock Exchange and secondary data obtained from world banks and other reliable data. This study uses behavioral data analysis using Threshold Autoregressive from 2000 to 2019. It was found that domestic tourists are a new hope that needs to be considered in surviving and restoring the hospitality industry after being exposed to the COVID-19 pandemic which has led hotel companies. temporarily closed operations and part of the hotel went bankrupt. Optimization of domestic tourists allowed the hotel industry to develop rapidly after the Covid-19 pandemic ended.

ANALYSIS AND DESIGN OF G+4 RESIDENTIAL BUILDING USING ETABS

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Chinmay Padole ◽  
Samiksha Bansod ◽  
Taniya Sukhdeve ◽  
Abhishek Dhomne ◽  
Maheshwari Nagose ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Residential Building ◽  
Shape Modelling ◽  
Analysis And Design ◽  
Design Procedures ◽  
High Rise ◽  
Building Systems ◽  
Dynamic Loadings ◽  
Storey Building

ETABS stands for Extended Three-Dimensional Analysis of Building Systems. ETABS is commonly used to analyze: Skyscrapers, concrete structures, low and high rise buildings, and portal frame structures. The case study in this paper mainly emphasizes on structural behavior of multi-storey building for different plan configurations like rectangular, C, L and I-shape. Modelling of 15-storeys R.C.C. framed building is done on the ETABS software for analysis ETABS issue, for analysis and design for building systems. ETABS features are contain powerful graphical interface coupled with unmatched modeling, analytical, and design procedures, all integrated using a common database. STAAD and ETABS both of the software are well equipped and very much capable of handling different shape of the structures, static and dynamic loadings and different material properties.

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