bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profitability comparison of active and passive energy efficiency improvements in public buildings
Authors: Knuutila Mirika , Kosonen Antti , Jaatinen-Värri Ahti , Laaksonen Petteri 
Published: July 2022

AbstractBuildings and construction are responsible for about 40% of the energy and process-related CO2 emissions worldwide. At present, the renewal rate of building stock is relatively low, for example in Finland, which is the case under study in this work, it is 1.5% per year. With respect to the target of a carbon neutral world by 2050, the effect on emissions of existing building stock must be considered. In this paper, we present the results of analysis of energy efficiency improvement investment in 12 city-owned buildings in two Finnish cities. Using measured heat and electrical energy consumption data, a model was developed for analyzing the impact of active and passive energy efficiency improvement investment options per building. The examined active technologies were heat pumps, solar photovoltaic panels, and heat recovery in ventilation system, and the passive improvement compared was structural improvements in the building envelope. The results show that investments in energy efficiency improvements can reduce the yearly energy-related operating costs of the buildings by 35% on average. The study further finds that usually investment in active energy efficiency improvements provides a bigger return on investment than passive improvements. The profitability of examined measures makes Public–Private Partnership a feasible way to provide funding for renovation of public buildings.Graphical abstract
Prevalence Estimates of Symptom Feigning and Malingering in Spain
Authors: Puente-López Esteban , Pina David , López-López Reyes , Ordi Héctor González , Bošković Irena , Merten Thomas 
Published: July 2022

AbstractSymptom feigning and malingering should be evaluated in forensic contexts due to their important socio-economic consequences. Despite this, to date, there is little research in Spain that evaluates its prevalence. The aim of this study was to investigate this issue using the perception of the general population, students, and professionals of medicine and forensic psychology. Three adapted questionnaires were applied to a total of 1003 participants (61.5% women) from 5 different groups. Approximately two-thirds of participants reported knowing someone who feigned symptoms, and one-third disclosed feigning symptoms themselves in the past. Headache/migraine, neck pain, and anxious–depressive symptoms were the most commonly chosen. Experts in psychology and forensic medicine estimated a prevalence of 20 to 40% of non-credible symptom presentations in their work settings and reported not having sufficient means to assess the distorted presentation of symptoms with certainty. Professionals and laypersons alike acknowledge that non-credible symptom presentations (like feigning or malingering) are relevant in Spain and occur at a non-trivial rate, which compares with estimates in other parts of the world.
Developing a Simulation to Foster Prospective Mathematics Teachers’ Diagnostic Competencies: the Effects of Scaffolding
Authors: Schons Christian , Obersteiner Andreas , Reinhold Frank , Fischer Frank , Reiss Kristina 
Published: July 2022

AbstractTo assess individual students’ abilities and misconceptions in mathematics, teachers need diagnostic competencies. Although research has addressed the quality of teachers’ diagnostic competencies in recent years, it is not very clear how to foster these competencies effectively in the course of prospective teachers’ university education. Research suggests that simulations with instructional support are promising tools for fostering complex competencies. We have developed a simulation that aims at measuring and fostering prospective primary school teachers’ competencies to assess students’ mathematical abilities and misconceptions based on their written task solutions. In this study, we analysed data from prospective primary school mathematics teachers who used one of three different versions of the simulation. Two versions contained a specific type of scaffolding, while the third version did not contain scaffolding. Specifically, the two scaffolding types werecontent-related scaffoldingthat emphasized the use of specific pedagogical content knowledge, andstrategic scaffoldingthat emphasized diagnostic activities. The results suggest that integrating scaffolding into the simulation did not substantially influence participants’ overall perception of the simulation regarding presence, authenticity, or perceived cognitive load. Compared to participants in a control group without intervention, participants who used the simulation with scaffolding had higher diagnostic accuracy regarding overall assessment of students’ competence level. However, only content-related scaffolding but not strategic scaffolding or no scaffolding tended to improve participants’ competence in identifying students’ specific misconceptions. The results provide a first empirical basis for further development of the simulation.
A Review of Deep Learning CT Reconstruction: Concepts, Limitations, and Promise in Clinical Practice
Authors: Szczykutowicz Timothy P. , Toia Giuseppe V. , Dhanantwari Amar , Nett Brian 
Published: July 2022

Abstract
Purpose of Review
Deep Learning reconstruction (DLR) is the current state-of-the-art method for CT image formation. Comparisons to existing filter back-projection, iterative, and model-based reconstructions are now available in the literature. This review summarizes the prior reconstruction methods, introduces DLR, and then reviews recent findings from DLR from a physics and clinical perspective.

Recent Findings
DLR has been shown to allow for noise magnitude reductions relative to filtered back-projection without suffering from “plastic” or “blotchy” noise texture that was found objectionable with most iterative and model-based solutions. Clinically, early reader studies have reported increases in subjective quality scores and studies have successfully implemented DLR-enabled dose reductions.

Summary
The future of CT image reconstruction is bright; deep learning methods have only started to tackle problems in this space via addressing noise reduction. Artifact mitigation and spectral applications likely be future candidates for DLR applications.
Patient-reported outcome measures in individuals with amelogenesis imperfecta: a systematic review
Authors: Appelstrand S. B. , Robertson A. , Sabel N. 
Published: July 2022

Abstract
Purpose
Amelogenesis imperfecta (AI) is a hereditary condition which affects the composition and structure of enamel in terms of hypoplasia and/or hypomineralization. The condition severely affects patients facing such difficulties as hypersensibility, loss of tooth substance and poor aesthetics. The objective is to perform a systematic review of patient-reported outcome measures (PROMs) in patients with amelogenesis imperfecta.

Methods
Inclusion criteria were articles written in English, including PROMs from patients with amelogenesis imperfecta. The databases PubMed, Scopus and Web of Science were searched on April 27, 2022, and eligible articles were screened. Exclusion criteria were articles based on proxy reports and single case reports.

Results
405 studies were screened in terms of title and abstract, with 31 articles eligible for full-text screening, resulting in a total of 11 articles eligible for inclusion, (articles including 4–82 patients). The content was analyzed, resulting in the outcome divided into seven domains: Oral Health-Related Quality of Life (OHRQoL), Dental fear, Esthetics, Psychosocial factors, Function, Dental hypersensitivity, and Treatment outcome.

Conclusion
The limited quantity of research on PROMS from patients with AI indicates a significant impact of OHRQoL and daily life. A large variety of approaches have been presented in the articles. Patients report concerns of esthetics, hypersensitivity, function, and a general impact on well-being and social interaction. This highlights the importance for the need of early dental treatment.

Prospero registration number
256875.
Regulating Gambling-Like Video Game Loot Boxes: a Public Health Framework Comparing Industry Self-Regulation, Existing National Legal Approaches, and Other Potential Approaches
Authors: Xiao Leon Y. , Henderson Laura L. , Nielsen Rune K. L. , Newall Philip W. S. 
Published: July 2022

Abstract
Purpose of Review
Loot boxes are gambling-like monetisation mechanics in video games that are purchased for opportunities to obtain randomised in-game rewards. Gambling regulation is increasingly being informed by insights from public health. Despite conceptual similarities between loot boxes and gambling, there is much less international consensus on loot box regulation. Various approaches to regulating loot boxes are reviewed via a public health framework that highlights various trade-offs between individual liberties and harm prevention.

Recent Findings
Many countries have considered regulation, but as yet only a few countries have taken tangible actions. Existing regulatory approaches vary greatly. More restrictively, Belgium has effectively ‘banned’ paid loot boxes and prohibits their sale to both children and adults. In contrast, more liberally, China only requires disclosure of the probabilities of obtaining potential rewards to provide transparency and perhaps help players to make more informed purchasing decisions. Most other countries (e.g., the UK) have adopted a ‘wait-and-watch’ approach by neither regulating loot box sales nor providing any dedicated consumer protection response. Industry self-regulation has also been adopted, although this appears to elicit lower rates of compliance than comparable national legal regulation.

Summary
Many potential public health approaches to loot box regulation, such as expenditure limits or harm-reducing modifications to loot box design (e.g., fairer reward structures), deserve further attention. The compliance and clinical benefits of existing interventions (including varying degrees of regulation, as adopted by different countries, and industry self-regulation) should be further assessed. The current international variation in loot box regulation presents opportunities to compare the merits of different approaches over time.
Centering Indigenous Voices: The Role of Fire in the Boreal Forest of North America
Authors: Christianson Amy Cardinal , Sutherland Colin Robert , Moola Faisal , Gonzalez Bautista Noémie , Young David , MacDonald Heather 
Published: July 2022

AbstractPurpose of ReviewIndigenous perspectives have often been overlooked in fire management in North America. With a focus on the boreal region of North America, this paper provides a review of the existing literature documenting Indigenous voices and the historical relationship of Indigenous peoples in northern North America to fire and landscapes that burn.Recent FindingsEarly research on the topic explored how Indigenous people used fire in the boreal forest, with most research coming out of case studies in northern Alberta. Emerging research in the last two decades has broadened the geographic focus to include case studies in Alaska, Ontario, Labrador, and other regions in North America. This broadening of focus has shown that the diversity of Indigenous peoples in North America is reflected in a diversity of relationships to fire and landscapes that burn. Of note is an emerging interest in Indigenous fire knowledge in the wake of settler colonialism.SummaryIndigenous peoples in the boreal forest have applied fire on their landscapes to fulfill numerous objectives for thousands of years. More than a tool, Indigenous peoples in the boreal view fire as an agent, capable of movement, destruction and creation, acting on the landscape to create order, within a living, connected environment. Unfortunately, restrictions on the application of Indigenous fire knowledge and practice initiated during early colonial times remains a contemporary challenge as well.
What You See May Be What You Want: Mate Copying in a Natural Setting
Authors: Anderson Ryan C. , Armstrong Ashleigh A. 
Published: July 2022

Abstract

Objectives
The phenomenon of mate copying (MC) suggests that an individual’s romantic desirability varies, to some degree, as a function of their romantic experiences. By manipulating relationship history, this research aimed to determine whether male desirability varied similarly for static stimuli (photographs) as it did for dynamic stimuli (short clips). Here we present 2 studies examining this idea.

Methods
In both studies heterosexual women aged 18–34 were recruited from social media and evaluated the desirability of men, before and after being given information about the level of relationship experience the men had previously had (either ‘none’, ‘some’, or ‘lots’).

Results
In Study 1 (N = 278), we employed static images of men and Study 2 (N = 66) was methodologically similar but employed dynamic stimuli. Study 1 indicated that a man’s desirability to heterosexual women increased when it was revealed that he had a moderate amount of relationship experience but decreased if he had none. Results from Study 2 suggested that desirability was not affected by an individual’s relationship experience.

Conclusions
MC was indicated when stimuli were static, but not when they were dynamic. These results suggest that MC may be a phenomenon that exists to a greater extent when stimuli are less informative.
Lessons on maintaining assessment integrity during COVID-19
Authors: Almossa Samar Yakoob , Alzahrani Sahar Matar 
Published: July 2022

AbstractIn an era where conditions for education are rapidly changing globally, online assessment presents several opportunities as well as challenges in the higher education landscape. The forceful transition from face-to-face to online assessments, as part of the emergency implementation of online learning due to the COVID-19 pandemic, has affected teaching, learning, and assessment experiences worldwide. This study explores how faculty members in Saudi universities secured their online assessment during phase one of the COVID-19 pandemic. The research aims were: 1) identifying faculty assessment practices before the onset of COVID-19 and comparing these with practices during the pandemic, and 2) identifying the major challenges faced by the faculty members of the study in securing their online assessment to ensure that academic integrity and assessment standards remained intact. Data were collected from seven university professors through a self-reporting survey, followed by semi-structured interviews. The faculty members found the pandemic period to be the best time to change their assessment methods, and incorporate innovative ideas that conformed to both their own beliefs and students’ needs. The factors that influenced the faculty’s assessment alterations were their personal beliefs and learnings from others’ experiences, in addition to the guidelines issued by Saudi Arabia’s Ministry of Education. The results of this study have implications for the development of post-COVID-19 assessment practices and professional development priorities.
Simultaneous determination of enthalpy of mixing and reaction using milli-scale continuous flow calorimetry
Authors: Steinemann Finn L. , Rütti David P. , Moser Marlies , Georg Alain G. , Meier Daniel M. 
Published: July 2022

AbstractA simultaneous determination of the enthalpy of mixing and reaction in a scalable continuous milli-scale flow calorimeter is investigated. As obtained calorimetric data is pivotal for the safety assessment of chemical reactions and processes. The acid-catalysed selective, homogeneous hydrolysis of acetic anhydride with half-lives from a few seconds to a few minutes is investigated as a model reaction. For the enthalpy of mixing 7.2 ± 2.8 kJ/mol and for the enthalpy of reaction −60.8 ± 2.5 kJ/mol were determined. For reactions that show complete conversion in the continuous reactor, a technique is introduced to further improve the accuracy of the reaction enthalpy determination. Thereby, the resolution of the observed temperature profile is increased by measuring the profile at different flow rates. Applying this procedure, the reaction enthalpy of −62.5 kJ/mol was determined which is in good agreement with literature values for this model reaction.
Graphical abstract
New tricks and emerging applications from contemporary azobenzene research
Authors: Fedele Chiara , Ruoko Tero-Petri , Kuntze Kim , Virkki Matti , Priimagi Arri 
Published: July 2022

AbstractAzobenzenes have many faces. They are well-known as dyes, but most of all, azobenzenes are versatile photoswitchable molecules with powerful photochemical properties. Azobenzene photochemistry has been extensively studied for decades, but only relatively recently research has taken a steer towards applications, ranging from photonics and robotics to photobiology. In this perspective, after an overview of the recent trends in the molecular design of azobenzenes, we highlight three research areas where the azobenzene photoswitches may bring about promising technological innovations: chemical sensing, organic transistors, and cell signaling. Ingenious molecular designs have enabled versatile control of azobenzene photochemical properties, which has in turn facilitated the development of chemical sensors and photoswitchable organic transistors. Finally, the power of azobenzenes in biology is exemplified by vision restoration and photactivation of neural signaling. Although the selected examples reveal only some of the faces of azobenzenes, we expect the fields presented to develop rapidly in the near future, and that azobenzenes will play a central role in this development.
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions
Authors: Hason Rudd David , Huo Huan , Xu Guandong 
Published: July 2022

AbstractCustomer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is wise. Causal analysis of the churn model can predict whether a customer will churn in the foreseeable future and identify effects and possible causes for churn. In general, this study presents a conceptual framework to discover the confounding features that correlate with independent variables and are causally related to those dependent variables that impact churn. We combine different algorithms including the SMOTE, ensemble ANN, and Bayesian networks to address churn prediction problems on a massive and high-dimensional finance data that is usually generated in financial institutions due to employing interval-based features used in Customer Relationship Management systems. The effects of the curse and blessing of dimensionality assessed by utilising the Recursive Feature Elimination method to overcome the high dimension feature space problem. Moreover, a causal discovery performed to find possible interpretation methods to describe cause probabilities that lead to customer churn. Evaluation metrics on validation data confirm the random forest and our ensemble ANN model, with %86 accuracy, outperformed other approaches. Causal analysis results confirm that some independent causal variables representing the level of super guarantee contribution, account growth, and account balance amount were identified as confounding variables that cause customer churn with a high degree of belief. This article provides a real-world customer churn analysis from current status inference to future directions in local superannuation funds.
Flight control strategy for jet transport in severe clear-air turbulence based on flight data mining
Authors: Chang R.C. , Wang Y. , Jiang W. 
Published: July 2022

AbstractThis paper presents a new concept of the control strategy in prevention program for the airlines to prevent the injuries of passengers and crew members for transport aircraft. A twin-jet transport aircraft encountered severe clear-air turbulence at transonic flight in descending phase is the study case of the present paper. The nonlinear and unsteady flight controllability models based on flight data mining and the fuzzy-logic modeling of artificial intelligence technique, are utilised to support this new concept. The proposed flight controllability models with the function of nonlinear dynamic inversion are employed to provide flight control strategy through flight simulations of dynamic inversion process; it is an innovation in mathematical modelling of aerospace engineering. Since the sudden plunging motion with the abrupt change in attitude and gravitational acceleration (i.e. the normal load factor) to affect the flight safety the most, hazard mitigation is a great concern for the aviation community. The present study is initiated to examine possible mitigation concepts of accident prevention to provide a training course for loss of control in-flight program to the airlines.
Epistemic Paternalism via Conceptual Engineering
Authors: KITSIK EVE 
Published: July 2022

AbstractThis essay focuses on conceptual engineers who aim to improve other people's patterns of inference and attention by shaping their concepts. Such conceptual engineers sometimes engage in a form of epistemic paternalism that I call paternalistic cognitive engineering: instead of explicitly persuading, informing and educating others, the engineers non-consultatively rely on assumptions about the target agents’ cognitive systems to improve their belief forming. The target agents could reasonably regard such benevolent exercises of control as violating their sovereignty over their own belief formation. This is a pro tanto reason against such engineering. In addition to the relevant projects of conceptual engineering, paternalistic cognitive engineering plausibly includes certain kinds of nudging and evidence suppression. I distinguish the sovereignty-based concern from other ethical worries about conceptual engineering and discuss how one might justify the relevant conceptual engineering projects despite the sovereignty-based reason against them.
Preventive and Avoidant Behaviors Followed by Jordanians During COVID-19 Pandemic
Authors: Darawad Muhammad W. , Othman Elham H. , Saleh Ali , Rezk-Hanna Mary 
Published: July 2022

Abstract

Objective:
During the coronavirus disease 2019 (COVID-19), individuals’ compliance with protective behaviors was the most effective strategy to break the infection chain and prevent disease spread, even with vaccine availability and use. Understanding protective behaviors within the Jordanian context will shape health promotion campaigns and guide decision-makers to facilitate required resources and support Jordanian citizens. The objective of this study was to identify personal protective (preventive and avoidant) measures used by the Jordanian population during the COVID-19 pandemic to protect themselves from infection.

Methods:
A cross-sectional study with an exploratory, descriptive design was used to collect data using an online self-reported questionnaire from Jordanian people. The survey included the Protection from Infection Scale and the Infection Avoidance Scale.

Results:
A total sample of 1053 Jordanian citizens was included in the study. The participants exhibited a moderate level of self-care behaviors and high levels of protective and infection avoidance behaviors. Their most common behaviors were getting enough sleep, wearing masks, washing hands, and avoiding travel to infected areas. Contrariwise, the least adopted behaviors were exercising, wearing gloves, and leaving their jobs or schools.

Conclusions:
During pandemics, policy-makers must understand public concerns and protective behaviors, then provide them with tailored education through health promotion campaigns to enhance healthy behaviors.