Potential Discrepancies Research Articles

Mind the (reporting) gap—a scoping study comparing measured laundry decisions with self-reported laundry behaviour

PurposeMany environmental assessments of consumer products and household services rely on self-reported data. Life cycle assessments of domestic laundering are no exception. However, potential discrepancies between self-reported behaviour and actual everyday decisions are seldom investigated due to practical challenges in collecting relevant data. This means that environmental impacts relying on such self-reported data are much more uncertain than previously acknowledged.MethodLaundering data was collected at the Chalmers’ HSB Living lab (CHSBLL), a combined multi-family house and research facility in Gothenburg. The collection was both done passively (through the washing machines) as well as actively (through surveys to the tenants). RFID-readers were also installed in the machines and a number of clothing items tagged, allowing for identification. The site-specific data was later supplemented with a large statistical representative study for domestic laundering of Swedish households. This unique data quality allowed the comparison of passively collected data with survey data from tenants in a real-life setup, while validating the results from a national perspective.Result and conclusionsThe results suggest that consumers have trouble remembering personal choices regarding domestic laundering, meaning that self-reported data are more uncertain than previously thought. In general, the participants overestimated the amount of laundry they washed and underestimated their frequency of washing. Additionally, many participants showed an interest in changing to alternative wash programs although this change failed to materialize when they were presented with this option in real-life. The findings have potential consequences for environmental assessments and implicate those previous estimations underestimate emissions per kg laundry washed.

THE IMPACT OF DIGITIZATION IN ENSURING SUSTAINABLE ECONOMIC GROWTH AT THE NATIONAL LEVEL

Considering today s technical and technological progress, digitization represents a clear solution in ensuring an appropriate development that responds to new trends and that ensures the successful achievement of strategic national development objectives. Thus, this paper aims to analyze the contribution of digitization to the growth of the national economy in a sustainable way and our goal in finding new solutions for overall development of our country to match the other countries in European Union. In the study, we sought to highlight the most relevant factors of the digitization process with direct involvement in the sustainable development of the economy. To carry out this research, we used the factor analysis method with the help of the IBM-SPSS software to select the representative variables. The purpose of using this analysis method is to identify the factors with the strongest impact/role on the development of digital infrastructure at the level of the national economy in order to support a sustainable development, having as a reference base the evolution of some representative indicators that marked this process during 2017 – 2022. The evolution and dynamics of the influencing factors resulting from the research determine the detailed analysis and the identification of potential discrepancies between the digital transformation process and the proposed objectives.

Validity of self-reported height, weight and BMI as applied to trends in malnutrition in Davao City, Philippines.

Self-reported height, weight and body mass index (BMI) data are widely used to monitor trends in malnutrition. However, several studies expressed concerns about its reliability-citing trends of over-reporting and underreporting anthropometric data. This study aims to: (1) identify the validity of self-reported height and weight and BMI as compared with measured values and (2) examine the potential recurrence of malnutrition in an urban-based population. Paired t-tests and Pearson's correlation coefficients were conducted to identify potential discrepancies between self-reported and measured anthropometric data. These values were collected among 255 male and 400 female participants in the Davao City. Height overestimation in females and underestimation in males were observed to be statistically significant (P<0.05). Researchers also note an alarming rise in malnutrition cases when the Asia-Pacific Index was applied to the BMI study data. A 40.79 and 22% increase in obese cases among male and female respondents were recorded. Modifying participant-gathered height and weight values is likely to result in discrepancies between self-reported and measured values. Identifying a person's height and weight status is crucial to understanding who among the population experience malnutrition. Thus, policymakers are called to strengthen educational support that trains respondents to report reliable and valid health data.

The Evaluation Gap in Astronomy—Explained through a Rational Choice Framework

The concept of evaluation gaps captures potential discrepancies between what researchers value about their research, in particular research quality, and what metrics measure. The existence of evaluation gaps can give rise to questions about the relationship between intrinsic and extrinsic motivations to perform research, i.e., how field-specific notions of quality compete with notions captured via evaluation metrics, and consequently how researchers manage the balancing act between intrinsic values and requirements of evaluation procedures. This study analyses the evaluation gap from a rational choice point of view for the case of observational astronomers, based on a literature review and 19 semi-structured interviews with international astronomers. On the basis of the institutional norms and capital at play in academic astronomy, I shed light on the workings of the balancing act and its consequences on research quality in astronomy. I find that astronomers experience an anomie: they want to follow their intrinsic motivation to pursue science in order to push knowledge forward, while at the same time following their extrinsic motivation to comply with institutional norms. The balancing act is the art of serving performance indicators in order to stay in academia, while at the same time compromising research quality as little as possible. Gaming strategies shall give the appearance of compliance, while institutionalised means to achieve a good bibliometric record are used in innovative ways, such as salami slicing or going for easy publications. This leads to an overall decrease in research quality.

Domain Transferability-Based Deep Domain Generalization Method Towards Actual Fault Diagnosis Scenarios

Recent years have witnessed the successful development of using knowledge transfer strategies to tackle cross-domain fault diagnosis problems. Most existing studies generally assume the availability of target data during training to guide the domain adaptation process. Actually, this assumption is difficult to hold in many real engineering scenarios, where fault data cannot be obtained in advance. Therefore, how to mine universal and effective diagnosis knowledge only from the source domain and generalize it to unseen target tasks is crucial for further developing intelligent cross-domain fault diagnosis. With this in mind, the paper proposes a novel domain transferability-based deep domain generalization (DT-DDG) method. To achieve excellent diagnostic performance on the unseen domain, an adversarial training scheme combining the dynamic weighting strategy and a batch spectral penalization regularization term is elaborated so that the domain-invariant and discriminative features can be extracted from multiple source domains with potential discrepancies, which can hold in new target domain without assuming the available of fault data. Moreover, the network architecture is further optimized to address the category shift problem, thus taking full advantage of more source domains and learn more abundant diagnosis knowledge. On multiple generalization tasks using five datasets, the effectiveness and superiority of the DT-DDG method are validated, and the results show its great promise in actual fault diagnosis scenarios.

Wearable EEG-based construction hazard identification in virtual and real environments: A comparative study

Hazard identification on construction jobsites is one of the most critical components of construction safety management. To overcome the limitations in the current manual practice, researchers explored the correlation between hazard perception and changes in workers’ electroencephalogram (EEG) signals collected from wearable sensors to identify and differentiate different types of hazards. However, most of such studies are based on experiments in a virtual reality (VR) environment. The unproven applicability of the VR-led results to the real jobsites and the potential discrepancies in results between the physical and virtual environments are the main barriers toward EEG-based ubiquitous hazard identification on the jobsites. To bridge the research gaps, this paper tests the feasibility of identifying construction hazards in physical and VR environments, and compares their results to identify discrepancies. Two experimental environments (physical and VR, respectively), each containing three hazards, were designed with the same configuration. Hazard identification task was performed in both experiments, data (e.g., EEG signals) was collected and preprocessed, and corresponding features were extracted. Hotspot analysis was conducted to infer the existence of hazards by assessing spatial associations. The results showed that both physical and VR settings were effective for hazard detection, while a better performance was observed in the VR setting. In addition, the potential of developing hazard zones as well as particular hazard locations and a gradual increase in subjects’ perceived hazard level were revealed. The results highlight the opportunities of revealing potential construction hazards on the construction jobsite using wearable EEG.

Selective Flexibility

Masculinities play a key role in how men experience and interact with the world. The majority of literature, however, explores masculinities from the perspective of straight cisgender men. This study uses qualitative methods to answer the phenomenological question of how gay men understand and experience masculinity. Participants generally described their experiences with masculinities as gay men as more flexible than normative. There were, however, notable exceptions, particularly in the context of sexual relationships where participants described preferences for normatively masculine men and the association of sexual role preference with masculinity or femininity. Additionally, some men—particularly men of color and transgender men—described experiencing stricter expectations of normative masculinity than their white cisgender counterparts. These findings indicate that gay men perform masculinities differently based on social context and highlight potential racial and gender identity discrepancies.

DISCREPANCIES IN THE OUTCOME OF PLASMA ALDOSTERONE LEVELS ASSESSED BY IMMUNOASSAY AND MASS SPECTROMETRY - CLINICAL RELEVANCE FOR THE DIAGNOSIS OF PRIMARY HYPERALDOSTERONISM

Objective: To assess potential discrepancies in the clinical interpretation of the salt loading test (SLT) resulting from the assessment of aldosterone concentrations by two different methods - immunoassay and mass spectrometry. Design and method: Eighty-one patients (47F, 34M, mean age 47.7 ± 14.1 years) with suspected primary hyperaldosteronism (PA) who underwent an SLT were included in the ongoing study. Patients had their treatment modified according to current guidelines prior to the test. The SLT was performed in the sitting position and blood samples were taken before and after 4 hours of administration of 2 litres of saline. An aldosterone concentration higher than 61 ng/dL (170 pmol/L) was considered indicative of a diagnosis of PA. Plasma aldosterone concentrations from the same samples were assessed by: (1) chemiluminescence-based immunoassay (CLIA), LIAISON® by DiaSorin, and (2) liquid chromatography-mass spectrometry (LC-MS), MassChrom Chromsystems kit, UHPLC technique using a QTRAP 6500+ instrument (Sciex). Renin concentration was assessed by CLIA. Results: Median plasma aldosterone concentrations after saline administration assessed by CLIA were significantly higher than those assessed by LC-MS (64.4 vs 44.0 ng/dL; p &lt; 0.001). The correlation coefficients for plasma aldosterone concentration after saline administration was 0.69 (p &lt; 0.001). PA was diagnosed by one of the methods in 22 of patients and by both methods in 16 patients. Conflicting results were obtained in 6 patients (7.4%): in 5 patients CLIA was suggestive of PA but LC-MS not and in one patient LC-MS was suggestive of PA but CLIA not. In four cases, plasma aldosterone concentrations were slightly above or below the cut-off values (CLIA vs LC-MS: 62.9 vs 53; 61.9 vs 50; 97.8 vs 61 and 112 vs 58 ng/dL) in at least one of the methods. In the other two cases, the discrepancies were more pronounced (50 vs 80 ng/dL and 126 vs 24 ng/dL). Conclusions: Discrepant results of aldosterone assessment by CLIA and LC-MS methods were obtained in 7.4% of patients. Discrepancies were generally related to borderline results. If a plasma aldosterone concentration value close to the cut-off values is obtained, a repeat determination using another method should be considered.

A Platform for Tracking Surgeon and Observer Gaze as a Surrogate for Attention in Ophthalmic Surgery.

To develop and validate a platform that can extract eye gaze metrics from surgeons observing cataract and vitreoretinal procedures and to enable post hoc data analysis to assess potential discrepancies in eye movement behavior according to surgeon experience. Experimental, prospective, single-center study. Eleven ophthalmic surgeons observing deidentified vitreoretinal and cataract surgical procedures performed at a single university-based medical center. An open-source platform was developed to extract gaze coordinates and metrics from ophthalmic surgeons via a computer vision algorithm in conjunction with a neural network to track and segment instruments and tissues, identifying areas of attention in the visual field of study subjects. Eleven surgeons provided validation data by watching videos of 6 heterogeneous vitreoretinal and cataract surgical phases. Accuracy and distance traveled by the eye gaze of participants and overlap of the participants' eye gaze with instruments and tissues while observing surgical procedures. The platform demonstrated repeatability of > 94% when acquiring the eye gaze behavior of subjects. Attending ophthalmic surgeons and clinical fellows exhibited a lower overall cartesian distance traveled in comparison to resident physicians in ophthalmology (P<0.02). Ophthalmology residents and clinical fellows exhibited more fixations to the display area where surgical device parameters were superimposed than attending surgeons (P < 0.05). There was a trend toward gaze overlap with the instrument tooltip location among resident physicians in comparison to attending surgeons and fellows (41.42% vs. 34.8%, P>0.2). The number and duration of fixations did not vary substantially among groups (P>0.3). The platform proved effective in extracting gaze metrics of ophthalmic surgeons. These preliminary data suggest that surgeon gaze behavior differs according to experience.

Psychiatric and non-psychiatric population vulnerabilities in time of a crisis: the unsuspected aggression factor

ObjectivesIn March 2020, France faced a health crisis due to the COVID-19 outbreak that, like previous infectious disease crises, involved high psychological and emotional stress, a series of factors that influenced the ongoing mental health crisis.MethodsWe recruited 384 respondents to complete an online questionnaire during the second month of isolation: 176 psychotherapy recipients (68 were currently attending psychiatric care) and 208 healthy controls. We measured demographic characteristics, impulsivity, aggression, hopelessness, suicidal risk, and the global level of anxiety and depression in order to estimate potential discrepancies in clinical measures across these populations.ResultsOur results indicate that the group currently undergoing psychiatric care was prone to loneliness and social isolation. Regarding clinical and nonclinical population, there were differences in suicidal risk, depression, anxiety, and hopelessness but mainly in aggression. Regression analysis also demonstrated that aggression surprisingly influenced anxiety levels. Patients undergoing therapy compared with patients who were not displayed differences only in suicidal risk, anxiety, and hopelessness, with those undergoing therapy having higher scores. The outpatient group undergoing therapy had a significantly lower level of impulsivity. Moreover, the regression to predict anxiety and depression levels from correlated factors highlighted the potentially heightened role of aggression in predicting anxiety in the clinical group.ConclusionNew research into stress reactions should assess other clinical signals, such as aggression, and examine preventive mental health interventions in times of crisis.

Exploring professionals' practices and perspectives on supporting parents with intellectual disabilities: a qualitative study.

Evidence suggests that parents with intellectual disabilities require appropriate parenting support. However, professional practices vary widely, and several barriers and challenges persist in supporting parents with intellectual disabilities. To identify effective and collaborative practices, this study investigated practices reported by professionals and their roles in providing services to parents with intellectual disabilities. Semi-structured interviews were conducted with 22 professionals from three sectors (disability, early childhood, and healthcare), and the content was analysed using inductive thematic analysis. Thematic analyses yielded four main themes: (1) Perceived professional practices, (2) professional stances, (3) the frame of reference and the ethics of support, (4) the experience of providing support. They are described in terms of content and distribution across sectors to provide an overview of practices as well as potential discrepancies. This study concludes by developing recommendations on good practices for support professionals to respond as adequately as possible to meet the needs of parents and future parents with intellectual disabilities, which include structural support and guidelines for professionals to provide sensitive, family-centred, and enabling support.

Sustainability policies and practices at veterinary centres in the UK and Republic of Ireland.

Veterinary professionals operate at the human-animal-environment interface and are concerned about sustainability issues. This study examined the extent to which sustainability is represented in policy and enacted in veterinary practice settings, as reported by practice representatives. An online survey was completed by 392 veterinary centre representatives in the UK and Republic of Ireland to identify existing policies and practices around the environmental impacts of veterinary services and animal husbandry, responsible medicine use, animal welfare and social wellbeing. A minority of respondents were aware of an environmental policy at their practice (17%, 68/392). Many others were undertaking waste reduction initiatives, but wider environmental interventions were infrequently reported. The majority were aware of medicine stewardship and animal welfare policies or guidelines, but a minority reported social wellbeing policies (40%, 117/289) and the provision of advice to clients on the environmental impacts of animal husbandry (31%, 92/300). The bias arising from the small convenience sample of practice representatives and potential discrepancies between the claims of survey respondents and their practices' policies and activities are acknowledged. Results depict a value-action gap between the concern of veterinary professionals towards sustainability and the policies and practices at their workplaces. Building on progress in the sector, wider adoption of comprehensive policies and practices, with guidance, could enhance veterinary contributions to the sustainability agenda, in particular to mitigate the environmental externalities of veterinary services and animal care and ensure safe, fair and inclusive workplaces.

From “screen time” to screen times: Measuring the temporality of media use in the messy reality of family life

Abstract The discrepancy between children’s actual amount of viewing time and parents’ accounts of their concerns, rules, and parental mediation choices has been documented in empirical research, and typically interpreted through the lens of the Uses and Gratifications theory – showing how parents change their attitudes towards screen media in order to satisfy their own needs. Based on a qualitative longitudinal research project, including app-based media diaries, with 20 families with at least one child aged eight or younger, we aim to make two contributions to the literature. With regard to theory, we aim to highlight the heterogeneous and contingent ways of balancing the place of digital media in children’s lives that arise from parents navigating screen time discourses, social pressures, and daily schedules. With regard to methods, we argue for the combination of qualitative data and app-based media diaries to contextualise and interpret potential discrepancies between reported screen time and parental anxieties or hopes about digital media.

Establishing a core dossier for multiple regulatory submissions: a case study in the Latin America region.

The Latin America region comprises several countries that do not follow harmonized regulatory requirements for drug product (DP) marketing authorization applications (MAA), resulting in customized registration dossiers for each country. Here, we established a core dossier for multiple MAA in the Latin America region by examining the similarities between regulatory requirements and reconciling their potential discrepancies through discussions among all national regulatory representatives. The core dossier was used in the submission of a new small molecule, NME1, to nine markets. Assessment of the process included the time to submission; the timing, number, and complexity of questions received; and timing of final national regulatory agencies (NRA) evaluation decisions. The core dossier resulted in an accelerated submission timeline for most markets and earlier receipt of NRA queries from some markets, compared with projections. One round of queries of a low or medium complexity was received from all agencies. The receipt of final NRA evaluation decisions was also accelerated in most markets, compared with the best-case approval timeframes. The core dossier approach was also evaluated against the standard submission of a similar small molecule, NME2. In contrast to the core dossier submission of NME1, a second round of questions, and high-complexity questions were received from two markets for NME2. In conclusion, a core dossier has the potential to simplify the regulatory process for both reviewers and applicants in regions that do not share harmonized regulatory requirements, with a consequential acceleration of DP approvals.

MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy.

In this article, we propose a new distortion quantification method for point clouds, the multiscale potential energy discrepancy (MPED). Currently, there is a lack of effective distortion quantification for a variety of point cloud perception tasks. Specifically, in human vision tasks, a distortion quantification method is used to predict human subjective scores and optimize the selection of human perception task parameters, such as dense point cloud compression and enhancement. In machine vision tasks, a distortion quantification method usually serves as loss function to guide the training of deep neural networks for unsupervised learning tasks (e.g., sparse point cloud reconstruction, completion, and upsampling). Therefore, an effective distortion quantification should be differentiable, distortion discriminable, and have low computational complexity. However, current distortion quantification cannot satisfy all three conditions. To fill this gap, we propose a new point cloud feature description method, the point potential energy (PPE), inspired by classical physics. We regard the point clouds are systems that have potential energy and the distortion can change the total potential energy. By evaluating various neighborhood sizes, the proposed MPED achieves global-local tradeoffs, capturing distortion in a multiscale fashion. We further theoretically show that classical Chamfer distance is a special case of our MPED. Extensive experiments show that the proposed MPED is superior to current methods on both human and machine perception tasks. Our code is available at https://github.com/Qi-Yangsjtu/MPED.

Reflecting on motivations: How reasons to publish affect research behaviour in astronomy.

Recent research in the field of reflexive metrics, which analyses the effects of the use of performance indicators on scientific conduct, has studied the emergence and consequences of evaluation gaps in science. The concept of evaluation gaps captures potential discrepancies between what researchers value about their research, in particular research quality, and what metrics measure. In the language of rational choice theory, an evaluation gap persists if motivational factors arising out of the internal component of an actor's situation are incongruent with those arising out of the external components. The aim of this research is therefore to study and compare autonomous and controlled motivations to become an astronomer, to do research in astronomy and to publish scientific papers. This study is based on a comprehensive quantitative survey of academic and non-academic astronomers worldwide with 3509 responses. By employing verified instruments to measure perceived publication pressure, distributive & procedural justice, overcommitment to work and observation of scientific misconduct, this paper also investigates how these different motivational factors affect research output and behaviour. I find evidence for an evaluation gap and that controlled motivational factors arising from evaluation procedures based on publication record drives up publication pressure, which, in turn, was found to increase the likelihood of perceived frequency of misbehaviour.

Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study.

Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study.

Examination of steel compatibility with additive manufacturing and repair via laser directed energy deposition

High strength steels are a vital material for aerospace applications but are also prone to damage from fatigue, corrosion, and wear. Additive manufacturing (AM) processes such as laser directed energy deposition (L-DED) offer a means for repairing both the geometry and structure of damaged steels; however, significant variation in tensile properties have been reported following repair. While previous studies have tried to improve performance through postdeposition heat treatment, such practices may not be possible for commercial parts due to risks of distortion and thermal damage to the substrate. Instead, this investigation analyses the role of the intrinsic heat treatment effect on as-deposited tensile properties through a detailed review of both AM and AM repair literature. By assessing a wide variety of high strength steels, the links between conventional heat treatment parameters and steel performance in AM are established, and the role of steel composition understood. This review is supported by additional AM and L-DED repaired samples, with consistent parameters used between steels to ensure similar thermal histories, and eliminate potential discrepancies seen between AM machines. The results demonstrate the effect of intrinsic heat treatment on martensitic and precipitation hardening steels, the role of residual heat and heat extraction through the substrate, and flag potential issues faced by steels at risk of temper embrittlement. Taken together, these findings provide a clear vision for the advancement of AM repair and the optimization of mechanical performance.

Large-eddy simulation of a 15 GW wind farm: Flow effects, energy budgets and comparison with wake models

Planned offshore wind farm clusters have a rated capacity of more than 10 GW. The layout optimization and yield estimation of wind farms is often performed with computationally inexpensive, analytical wake models. As recent research results show, the flow physics in large (multi-gigawatt) offshore wind farms are more complex than in small (sub-gigawatt) wind farms. Since analytical wake models are tuned with data of existing, sub-gigawatt wind farms they might not produce accurate results for large wind farm clusters. In this study the results of a large-eddy simulation of a 15 GW wind farm are compared with two analytical wake models to demonstrate potential discrepancies. The TurbOPark model and the Niayifar and Porté-Agel model are chosen because they use a Gaussian wake profile and a turbulence model. The wind farm has a finite size in the crosswise direction, unlike as in many other large-eddy simulation wind farm studies, in which the wind farm is effectively infinitely wide due to the cyclic boundary conditions. The results show that new effects like crosswise divergence and convergence occur in such a finite-size multi-gigawatt wind farm. The comparison with the wake models shows that there are large discrepancies of up to 40% between the predicted wind farm power output of the wake models and the large-eddy simulation. An energy budget analysis is made to explain the discrepancies. It shows that the wake models neglect relevant kinetic energy sources and sinks like the geostrophic forcing, the energy input by pressure gradients and energy dissipation. Taking some of these sources and sinks into account could improve the accuracy of the wake models.

Wake Up America: National Survey of Patients' and Physicians' Views and Attitudes on Insomnia Care.

While both patients and physicians consider sleep to be important, sleep health may not receive appropriate consideration during patient visits with health care professionals (HCPs). We completed the first large-scale survey of people with trouble sleeping (PWTS) and physicians who treat insomnia to understand their perspectives and potential discrepancies between them. The Harris Poll conducted online surveys of adult PWTS and HCPs (primary care physicians [PCPs] and psychiatrists) in the United States from September to October 2021. Respondents included 1001 PWTS, 300 PCPs, and 152 psychiatrists. Most HCPs agreed that sleep is critical to good health, yet very few reported routinely conducting full sleep histories on their patients. Approximately 30% of PWTS reported that their PCP never asks about sleep; zero HCPs in this survey reported "never" inquiring. Few HCPs reported being "very satisfied" with current treatment options; 50% of PCPs reported their patients being satisfied. Two-thirds of PWTS did not believe current treatment options adequately improved their sleep. This survey provides evidence that both PWTS and physicians agreed on the importance of sleep, but that treatment is often perceived as ineffective. This survey identifies a need for HCPs to address insomnia management and treatment gaps.