bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contextual evaluation of suicide-related posts
Authors: Rezapour Mahdi 
Published: December 2023

AbstractSuicide is a leading cause of death in the US. Online posts on social media can reveal valuable information about individuals with suicidal ideation and help prevent tragic outcomes. However, studying suicidality through online posts is challenging, as people may not be willing to share their thoughts directly due to various psychological and social barriers. Moreover, most of the previous studies focused on evaluating machine learning techniques to detect suicidal posts, rather than exploring the contextual features that are present in them. This study aimed to not only classify the posts based on sentiment analysis, but also to identify suicide-related psychiatric stressors, e.g., family problems or school stress, and examine the contextual features of the posts, especially those that are misclassified. We used two techniques of random forest and Lasso generalized linear models and found that they performed similarly. Our findings suggest that while machine learning algorithms can identify most of the potentially harmful posts, they can also introduce bias, and human intervention is needed to minimize that bias. We argue that some posts may be very difficult or impossible to tag correctly by algorithms alone, and they require human understanding and empathy.
Design of high-temperature superconductors at moderate pressures by alloying AlH3 or GaH3
Authors: Liang Xiaowei , Wei Xudong , Zurek Eva , Bergara Aitor , Li Peifang , Gao Guoying , Tian Yongjun 
Published: December 2023

Since the discovery of hydride superconductors, a significant challenge has been to reduce the pressure required for their stabilization. In this context, we propose that alloying could be an effective strategy to achieve this. We focus on a series of alloyed hydrides with the AMH6 composition, which can be made via alloying A15 AH3 (A = Al or Ga) with M (M = a group ⅢB or IVB metal), and study their behavior under pressure. Seven of them are predicted to maintain the A15-type structure, similar to AH3 under pressure, providing a platform for studying the effects of alloying on the stability and superconductivity of AH3. Among these, the A15-type phases of AlZrH6 and AlHfH6 are found to be thermodynamically stable in the pressure ranges of 40–150 and 30–181 GPa, respectively. Furthermore, they remain dynamically stable at even lower pressures, as low as 13 GPa for AlZrH6 and 6 GPa for AlHfH6. These pressures are significantly lower than that required for stabilizing A15 AlH3. Additionally, the introduction of Zr or Hf increases the electronic density of states at the Fermi level compared with AlH3. This enhancement leads to higher critical temperatures (Tc) of 75 and 76 K for AlZrH6 and AlHfH6 at 20 and 10 GPa, respectively. In the case of GaMH6 alloys, where M represents Sc, Ti, Zr, or Hf, these metals reinforce the stability of the A15-type structure and reduce the lowest thermodynamically stable pressure for GaH3 from 160 GPa to 116, 95, 80, and 85 GPa, respectively. Particularly noteworthy are the A15-type GaMH6 alloys, which remain dynamically stable at low pressures of 97, 28, 5, and 6 GPa, simultaneously exhibiting high Tc of 88, 39, 70, and 49 K at 100, 35, 10, and 10 GPa, respectively. Overall, these findings enrich the family of A15-type superconductors and provide insights for the future exploration of high-temperature hydride superconductors that can be stabilized at lower pressures.
How a translation impacts its translator
Authors: Guo Huarui 
Published: December 2023

Abstract
The present article is a function-oriented case study within the framework of Descriptive Translation Studies, as developed by Gideon Toury, which posits translations as facts in the target culture where they interact with other works and influence them. The present article argues that a translation can have an impact on its translator whose relationship with the target culture is ambivalent. The British missionary Timothy Richard and his Chinese translation of Looking Backward is the case under investigation. Richard played multiple roles in late Qing China. He was a reformer as well as a missionary. His translation of Looking Backward influenced his own reform ideas, which in turn influenced the reformists in late Qing China.
The benefit of kitchen exhaust fan uses after cooking - A CFD assessment
Authors: Chen Shou-Wang , Chang Chao-Yen , Lee Wan-Chen , Chan Ying-Chieh 
Published: December 2023

Abstract
Cooking is one of the most common activities in our daily life. Studies have shown that cooking may generate substances with hazardous particles or gases, which influence indoor air quality and cause a detriment to health. Although using a kitchen hood or an exhaust fan is an efficient way to remove harmful substances, entirely removing the hazard is still challenging. Our study aims to explore if leaving the fans on is an efficient way to remove the particles in kitchens by 3D Computational Fluid Dynamics (CFD) simulations. If so, how long should we leave the fans on? The 3D geometry of the CFD model of a kitchen was built using a real kitchen with windows as a reference to represent Taiwan’s typical kitchen style in real life. The simulation results were also compared and calibrated from experimental results. The validations agreed with the experimental results after adjusting the boundary conditions. Moreover, we used the validated model to conduct transient simulations for the four cases, including the case leaving the exhaust fan on and the case turning off the fan immediately. Results showed that leaving the hood on could remove more pollutants, but it still takes a while. Opening the window could speed up the removal of pollutants even without wind. Findings from this study could provide important implications for the benefit of kitchen exhaust fans and what to do when cooking is finished to protect residents from exposure to cooking emissions.
Gravity ventilation for interior bathrooms
Authors: Hall Monika , Gerber Vincent , Geissler Achim 
Published: December 2023

Abstract
Based on the extensive experience of a building cooperative with interior bathroom gravity (shaft) ventilation in existing apartment buildings, the replacement buildings constructed at the same location are also equipped with gravity ventilation. The aim of the project described here is to demonstrate the possibilities and limitations of gravity ventilation in one of the new replacement buildings by means of monitoring. Detailed monitoring over a complete year recorded the behaviour and effectiveness of the gravity ventilation in all seasons. In winter, gravity ventilation leads to higher air change rates in interior bathrooms than in summer. In general, humidity can be removed with gravity ventilation except in summer, when after a shower the bathroom door stays closed for 24 h. In summer when the indoor and ambient temperature is the same the gravity ventilation does not work. In this case, the interior bathroom should be ventilated by the main apartment ventilation, e.g., while the bathroom door and other room doors and windows are open at the same time. In summer, doors and windows are often open and the gravity ventilation summer problem can be viewed as negligible. Therefore, gravity ventilation is a good alternative to other ventilation systems in interior bathrooms.
Low-cost sensor for particulate matter concentration: an evaluation of its measurement performance in the field by direct comparison with a calibrated reference system
Authors: Salamone Francesco , Ciervo Antonio , Sibilio Sergio , Masullo Massimiliano 
Published: December 2023

Abstract
The WHO defines threshold values of PMs. Different studies where wearables are used also to monitor PMs. With the main goal of developing a new wearable monitoring system for research purposes based on low-cost sensors and open-source hardware and considering the wide variety of low-cost sensors available on the market today, we focused on evaluating the measurement performance of a particular type of low-cost PMS, the Plantower PMS A003I. It was connected to an Arduino Micro, which served as the microcontroller and data logger. The low-cost system was used in a direct comparison with a calibrated DustTrak DRX as the reference instrument. The test was conducted in a real office in four different sections of monitoring activity on four different days. The result of the proposed method suggests that it is possible to use low-cost sensors to evaluate indoor air quality in terms of PM levels.
The potential of the height-to-width ratio as an indicator to characterize the ventilation performance of a canyon in the urban context
Authors: Li Jiaying , You Wei , Ding Wowo 
Published: December 2023

Abstract
The height-to-width ratio (H/W) of canyons has been proven to be a significant indicator related to ventilation performance (airflow status and ventilation efficiency), which can help designers assess urban ventilation performance and guide the design quickly. However, previous research focused on the canyons in ideal geometric settings rather than in the urban context. This study explores whether the relationships between H/W, airflow status, and ventilation efficiency of ideal form studies apply to canyons in the urban context. Firstly, the relationship between the three in ideal geometric settings is sorted out by literature reviews. Then, the validity of the findings of ideal form studies in in the urban context is verified, using a typical residential area, Nanjing, China, as a case. This study found that H/W can affect the ventilation performance to a certain extent in in the urban context. However, most canyons’ airflows are affected by complex environmental factors, turning into different flow types (Deviation Type, Crossing Type, and Multivortex Type), which reduces the correlation between H/W, airflow status, and ventilation efficiency of canyons in the urban context.
Selecting roller shade optical properties for glare protection
Authors: Lu Sichen , Tzempelikos Athanasios 
Published: December 2023

Abstract
This paper presents a revised method for choosing roller shade properties that can significantly reduce the risk of glare when closed. State-of-the-art daylight modeling is employed to compute direct and diffuse light transmission through shading fabrics using BSDF datasets with the 5 Phase Method plus a peak extraction algorithm for the specular component. The analysis is parameterized by properties listed by manufacturers: openness factor, visible transmittance, and visible reflectance. In this way, we provide recommendations for the upper bounds of properties based on annual discomfort frequency (annual time percentage when daylight Glare Probability <5.5%). We discuss the impact of Radiance-aBSDF and related uncertainties, and the comparison with glare control classes proposed in Standard EN 14501.
Do the customers remember? The fade-out effect from the demand response applied in the district heating system in Denmark
Authors: Marszal-Pomianowska A , Jensen O M , Wittchen K B , Jokubauskis B , Melgaard S P 
Published: December 2023

Abstract
Buildings can deliver short-term thermal energy storage to energy systems. In district heating (DH) systems, it is mainly desk studies and simulations that reveal a large thermal flexibility potential. Knowledge from real-life case studies on how residents participate in demand management campaigns is crucial for the successful utilisation of buildings’ flexibility potential for minimizing bottlenecks in the daily operation of DH systems. In the field study including 72 single-family houses connected to the 3GDH network in southern Denmark, the demand response (DR) strategy “night setback” was applied for two heating periods. The houses were equipped with control and monitoring equipment, which allowed the deactivation of the heating system while monitoring the indoor temperature, so it does not drop below the defined value. The occupants controlled the DR events settings and could at any time stop utilisation of the night setback strategy (implicit participation in the DR). All 72 houses applied the night setback during both heating periods. Yet, the participation time decreased from 89% to 81%. The lowest participation rate was noted for the farm house, 60% and 9% of heating periods 1 and 2, respectively. In around 60% of the DR events, the night setback strategy was activated at 20:00.
Influence of Temporal- and Spatial Resolutions on Building Performance Simulation Models: A Danish Residential Building Case Study
Authors: Andersen Kamilla Heimar , Marszal-Pomianowska Anna , Jokubauskis Benas , Heiselberg Per Kvols 
Published: December 2023

Abstract
This study aims to assess the accuracy of a building performance simulation (BPS) model developed in IDA ICE software, focusing on heating energy use and indoor air temperatures in a low-energy multi-story residential building located in Northern Denmark. Six apartments were analyzed, and a comparative analysis was conducted between the measured parameters and the results obtained from BPS models with different spatial and temporal resolutions. The findings indicate that while the BPS models can provide reasonably accurate estimates of heating energy use, they may not fully capture the nuanced response to factors such as indoor air temperature This highlights the importance of incorporating qualitative inputs and environmental variables into these BPS models, including heating and/or cooling setpoints, internal gains, and weather conditions. Overall, this study provides insights into the limitations and opportunities of BPS models for accurately estimating heating energy use and indoor air temperatures in low-energy residential buildings.
Leveraging campus-scale Wi-Fi data for activity-based occupant modeling in urban energy applications
Authors: Mosteiro-Romero Martín , Miller Clayton , Quintana Matias , Chong Adrian , Stouffs Rudi 
Published: December 2023

Abstract
The widespread availability of open datasets in urban areas is transforming how urban energy systems are planned, simulated, and visualized. Urban energy models, however, require an understanding of urban dwellers, as their activities create the demands for energy in buildings. In this paper, we explore using campus-scale Wi-Fi data to identify typical occupant activity patterns as an input to an agent-based model of building occupants at the district scale. The data is taken from a Singaporean university’s Wi-Fi network at high resolution. Each record comprises a timestamp, a device identifier, the location of the device within the campus, and the access point to which it is connected. The Wi-Fi dataset contains 120 different buildings on campus and 10,300 anonymized individual devices. Activities are then assigned to each location on campus according to the building use type. In order to test the methodology, the activity plans of 27,604 undergraduate students, 8,304 graduate students, and 12,018 employees were simulated over a workweek. The results show the model’s ability to produce plausible activity plans but could be improved by implementing sampling rules and expanding the source dataset to include off-peak dates. Nevertheless, using such an agent-based modeling approach at the district scale appears to be a promising methodology to assess the impacts of different planning strategies on occupant behavior and district energy demand.
Indoor monitoring and long-term survey to identify the risks of Energy Poverty: the case of social housing in Northern Italy
Authors: Pittana Ilaria , Mercusa Andrea , Gasparella Andrea , Romagnoni Piercarlo , Cappelletti Francesca 
Published: December 2023

Abstract
Low-income families often live in poorly heated houses belonging to social housing programs. Tenants’ wellbeing and health in social housing is typically threatened by problems associated with energy inefficiency and poor Indoor Environmental Quality (IEQ). These conditions are among the symptoms of a social issue known as Energy Poverty (EP), which occurs when residents face difficulty in paying energy bills. In 2020 about 2.1 million households (8% of the total) were suffering from energy poverty in Italy. The risk of EP is mainly favored by three factors: the low income of the family, the high final price of energy and the poor technical construction characteristics of the building which can lead to poor IEQ. Four indicators have been proposed by the European Commission and some others developed in the scientific literature, but often neither the thresholds to assess the status of EP nor the methodology to collect data have been defined. This study aims to assess some of the recommended European indicators on a case study. The risks of EP have been investigated in social housing located in Northern Italy by means of an integrated methodology based on a site inspection, a survey, and the continuous monitoring of the indoor environmental parameters during the winter season. The proposed method allowed detecting the presence of EP in 5 dwellings out of 8.
Exploration of the relationships between perceived and observed parameters of IEQ using Bayesian analysis
Authors: Crosby S , Manu S , Rysanek A 
Published: December 2023

Abstract
Seeking to bridge the gap between observations and predictions of thermal comfort, recent work has explored novel predictive frameworks to improve the prediction accuracy of occupants’ thermal satisfaction in office spaces. Recent contributions include the development of a Bayesian framework to estimate the probability of an occupant feeling thermally satisfied as a function of not only psychrometric IEQ parameters but also non-thermal metrics of IEQ. A predictive relationship between indoor CO2 concentrations and thermal satisfaction was found, though the underlying causal relationship is not yet clear. An occupant unhappy about air quality is more likely than not found to be unhappy with other parameters, including indoor air temperature. To quantify these relationships, further analysis with new modelling methods and data is required. This paper presents a new formulation of prior work, using a new Bayesian logistic regression model and counterfactual inference to assess the combined relationships between many subjective and objective IEQ factors. This work sets out to provide the first-known Bayesian analysis of the underlying causality of observed statistical relationships between divergent parameters of subjective and objective IEQ.
Examining respiratory comfort in vernacular and conventional buildings
Authors: Priyadarshani S , Mani M , Maskell D 
Published: December 2023

Abstract
The study examines the role of air temperature and humidity on heat and moisture exchanges in the human respiratory tract. A human respiratory tract model was built to solve for heat and mass balance under varying indoor temperature (Ti) and relative humidity (RHi) values. Ti and RHi from on-field measurements from Vernacular (Adobe) and Conventional (Brick/RCC) buildings were used as input parameters to this model for computation of temperature (Ta in °C) water vapor concentration (Ca
in mg/l) at different segments of the respiratory tract. Results indicate that at the same temperature, relative humidity has a significant bearing on respiratory air conditioning. Also, at a given length of the respiratory tract, the percentage of heating and humidification achieved was higher in vernacular room conditions compared to the conventional room. Excess water vapor loss from the mucus layer in the deeper airway conduits restricts mucociliary clearance causing respiratory difficulties, predominantly in cold regions. Comfortable respiration is an important indicator of health and productivity; however, it is not presently incorporated for indoor comfort evaluation. Insights from the study can lead to recommendations for material selection for the design of comfortable, healthy indoor environments.
Influence of building geometry on the environmental impact of building structures
Authors: Auburtin P Navaro , Saadé M , Manthey M , Louërat M , Martin J-L , Baverel O 
Published: December 2023

Abstract
In France, embodied carbon represents 35% of the total green house gases emissions from the construction sector. This proportion can reach up to 70% when considering recent buildings. In particular, structural elements for a large portion of the material quantities hence environmental impacts. There is a large panel of options for designing structure and the early stage choices have the biggest impact on the final product. In order to help designers, understanding the influence of structure parameters such as material, span, grid choices or the number of level is essential. To do so, the article uses a methodology coupling structural analysis and environmental assesment. Wood, steel and concrete structures are considered with various span based on a 3 meters by 3 meters grid. The life cycle analysis uses french based scenarios and indicators from the european norm EN15804+A2. Results show that there is no material which is better on every indicators. Also the increase of span or the decrease of the number of level leads to higher impacts no matter the indicator. Finally slabs and beams represent the largest part of the impacts.
A design stage, multi-objective assessment: material selection with environmental life-cycle analysis, labor, and material health considerations for building structure
Authors: Wang Z , Yu X , Houde K , Aviv D 
Published: December 2023

Abstract
During the schematic design stage of a building, assessing trade-offs of lifecycle impact of building elements and materials is crucial for the decision-making process when aiming to reduce negative impacts holistically. A multi-objective assessment is proposed, for environmental, labour exploitation risk (LER), and material health lifecycle impact of the structure and foundation elements in the schematic design stage. Using a real, mid-size, mass timber, educational building in Philadelphia, United States as a case study, we deployed multi-objective optimization (MOO) to consider the range of global warming potential (GWP), LER rating, and material health impact of nine product types over 1602 structure and foundation elements. The parametric workflow paired with Building Information Modelling (BIM) objects aims to provide designers a holistic overview on the cumulative, per material, and per building element impact upstream in the supply chain. The Pareto front solutions reveal that concrete floor with metal deck, hollow structural section framing, and concrete foundation slab, footing, and column pose the greatest risk overall for the case study building, and warrant design consideration to substitute with less impactful alternatives.