bluuebunny/crossref_metadata_2025_split huggingface dataset:
Previous Experience Matters: An in-Person Investigation of Expectations in Human–Robot Interaction
Authors: Rosén Julia , Lindblom Jessica , Lamb Maurice , Billing Erik 
Published: February 2024

AbstractThe human–robot interaction (HRI) field goes beyond the mere technical aspects of developing robots, often investigating how humans perceive robots. Human perceptions and behavior are determined, in part, by expectations. Given the impact of expectations on behavior, it is important to understand what expectations individuals bring into HRI settings and how those expectations may affect their interactions with the robot over time. For many people, social robots are not a common part of their experiences, thus any expectations they have of social robots are likely shaped by other sources. As a result, individual expectations coming into HRI settings may be highly variable. Although there has been some recent interest in expectations within the field, there is an overall lack of empirical investigation into its impacts on HRI, especially in-person robot interactions. To this end, a within-subject in-person study ($$N=31$$

N
=
31

) was performed where participants were instructed to engage in open conversation with the social robot Pepper during two 2.5 min sessions. The robot was equipped with a custom dialogue system based on the GPT-3 large language model, allowing autonomous responses to verbal input. Participants’ affective changes towards the robot were assessed using three questionnaires, NARS, RAS, commonly used in HRI studies, and Closeness, based on the IOS scale. In addition to the three standard questionnaires, a custom question was administered to capture participants’ views on robot capabilities. All measures were collected three times, before the interaction with the robot, after the first interaction with the robot, and after the second interaction with the robot. Results revealed that participants to large degrees stayed with the expectations they had coming into the study, and in contrast to our hypothesis, none of the measured scales moved towards a common mean. Moreover, previous experience with robots was revealed to be a major factor of how participants experienced the robot in the study. These results could be interpreted as implying that expectations of robots are to large degrees decided before interactions with the robot, and that these expectations do not necessarily change as a result of the interaction. Results reveal a strong connection to how expectations are studied in social psychology and human-human interaction, underpinning its relevance for HRI research.
The Impact of the Historic Policy to Ban Homosexuality in the UK Armed Forces: The Lived Experience of LGBT + Veterans
Authors: Osborne Alison K. , McGill Gill 
Published: February 2024

Abstract
Introduction
Until 12 January 2000, the UK Armed Forces retained a policy of discharging all gay, lesbian, bisexual, and transgender personnel under exemptive military laws. The so-called ‘gay ban’ was enforced with the rationale that homosexuality was incompatible with military service. Little research has explored the experiences of LGBT + veterans or the impact of the ‘gay ban’ policy.

Methods
In 2021, 15 LGBT + veterans who had been affected by the ‘gay ban’ participated in semi-structured interviews lasting around 90 minutes. Interview transcripts were analysed using thematic analysis.

Results
Five overarching themes were identified in exploring the experiences and impact of the ‘gay ban’ policy: LGBT + identity struggle; camouflage; intense investigative process; extraction, exclusion and loss; and the personal impact.

Conclusions
Serving in the UK Armed Forces during this homosexuality ban policy affected the social, health and well-being of LGBT + veterans. The necessity for LGBT + veterans to hide their sexual orientation and/or gender identity, the impact of investigations, loss of careers and alienation have led to long-term experiences of social isolation, loneliness due to barriers to connecting to others and difficulties around health and well-being.

Policy Implications
LGBT + veteran vulnerability and traumatic experiences need to be understood in the context of help-seeking behaviour and service provision. The implications for policy change include achieving health and social care equity in relation to access to support services. Support services need to ensure that there is an awareness of the impact of serving under the discriminatory ‘gay ban’ policy.
Glucagon-Like Peptide-1 Receptor Agonist Cases Reported to United States Poison Centers, 2017–2022
Authors: Gaw Christopher E. , Hays Hannah L. , Kemp Cydney A. , Kistamgari Sandhya , Spiller Henry A. , Rine Natalie I. , Rhodes Allison L. , Zhu Motao , Smith Gary A. 
Published: February 2024

Abstract
Introduction
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are a class of medications for management of diabetes and obesity. The objective of this study is to characterize the epidemiology of GLP-1RA cases reported to US poison centers.

Methods
We analyzed cases involving a GLP-1RA reported to the National Poison Data System during 2017–2022.

Results
There were 5,713 single-substance exposure cases reported to US poison centers involving a GLP-1RA. Most cases were among females (71.3%) and attributable to therapeutic errors (79.9%). More than one-fifth (22.4%) of cases were evaluated in a healthcare facility, including 0.9% admitted to a critical care unit and 4.1% admitted to a non-critical care unit. Serious medical outcomes were described in 6.2% of cases, including one fatality. The rate of cases per one million US population increased from 1.16 in 2017 to 3.49 in 2021, followed by a rapid increase of 80.9% to 6.32 in 2022. Trends for rates of serious medical outcomes and admissions to a healthcare facility showed similar patterns with 129.9% and 95.8% increases, respectively, from 2021 to 2022.

Conclusions
Most GLP-1RA cases reported to US poison centers were associated with no or minimal effects and did not require referral for medical treatment; however, a notable minority of individuals experienced a serious medical outcome or healthcare facility admission. The rate of reported cases increased during the study period, including an 80.9% increase from 2021 to 2022. Opportunities exist to improve provider and patient awareness of the adverse effects of these medications.
Navigating the 2021 ACPSEM ROMP workforce model: insights from a single institution
Authors: McCallum-Hee Broderick Ivan , Mukwada Godfrey 
Published: February 2024

AbstractWorkforce modelling for Radiation Oncology Medical Physicists (ROMPs) is evolving and challenging, prompting the development of the 2021 Australasian College of Physical Scientists and Engineers in Medicine (ACPSEM) ROMP Workforce (ARW) Model. In the exploration of this model at Sir Charles Gairdner Hospital, a comprehensive productivity exercise was conducted to obtain a detailed breakdown of ROMP time at a granular level. The results provide valuable insights into ROMP activities and enabled an evaluation of ARW Model calculations. The findings also capture the changing ROMP role as evidenced by an increasing involvement in consultation and advisory tasks with other professionals in the field. They also suggest that CyberKnife QA time requirements in the data utilised by the model may need to be revised. This study emphasises features inherent in the model, that need to be understood if the model is to be applied correctly.
Introducing a Newly Developed Computer Software to Analyze Fluid Transients in Pressurized Pipeline Systems
Authors: Uyanık Murat Cenk , Bozkuş Zafer 
Published: February 2024

AbstractChanges in flow rates in pressurized pipeline systems, due to power loss in a pump, opening or closing of a valve, load rejection by a turbine, etc., may lead to unsteady conditions called fluid transients or water hammer in the pipeline, which, in turn, can lead to dangerous consequences. This potential phenomenon must be checked during the design phase of pipeline systems in order to prevent such dangerous situations. For this purpose, many software programs have been developed worldwide to analyze fluid transients. In this study, a computer software was developed that analyzes this type of flow in pipeline systems using C# programming language. In addition to simulating and solving problems in transient flows in pipeline systems, this will help the purpose of having a free domestic transient flow software for education and research purposes, avoiding expensive alternatives. The method of characteristics is used to solve the nonlinear, hyperbolic partial differential equations of unsteady pipe flow. The developed software was tested using various well-known benchmark cases for validation purposes. It was shown that the computed results of the new software are very similar to those obtained in the literature, proving the accuracy and reliability of the new program. In future studies, it is hoped that the program will be more comprehensive with more boundary conditions added to the program. In this paper, the developed program and some of its important features will be introduced, and validation of the program with certain benchmark studies will be provided.
Spatial distribution and migration pattern analysis of Erythroculter erythropterus utilizing a telemetry approach in relation to water quality in the Nakdong River basin
Authors: Lim J. Y. , Mamun Md , Kim J. Y. , An K.-G. 
Published: February 2024

AbstractThe fish Erythroculter erythropterus has been introduced to the Nakdong River. It is a top carnivore (growing to up to 1.5 m long) but is inedible. The population of Erythroculter erythropterus tends to increase in areas where mainstream flow is slowed by weirs, likely due to the creation of more favorable habitat conditions. Erythroculter erythropterus dominates the fish community, reducing the number of endemic and commercial fish. The South Korean government sought to eliminate the species, but the spread was too rapid, resulting in top-down biological disturbance. The species distributions and movement patterns of Erythroculter erythropterus are not well known and no management strategy is available. Here, we determined the distribution and migration patterns of Erythroculter erythropterus in the tributaries and mainstream of the Nakdong River and analyzed how the water chemistry and physical habitat affected these variables. We used a submersible ultrasonic receiver to collect signals from transmitters attached to fish and analyzed the migration pattern. Massive aggregations of this species were evident at depth. Erythroculter erythropterus dominated all study sites but was significantly (p < 0.05) more common in the mainstream (relative abundance [RA] = 12.2%) than in tributaries (RA = 1.45%). Water quality parameters significantly regulated the population; total organic carbon was the highest one (R2 = 0.71). The transmitters revealed massive congregations in the deepest water (− 17 m) during winter hibernation, which sheds light on how the fish can best be removed.
Towards a Holistic Definition of Post-pandemic Resilience: The Pacific Context
Authors: Elias Arun Abraham , Pepper Matthew , Singh Gurmeet 
Published: February 2024

AbstractPost-pandemic resilience in the Pacific region presents some unique, context-specific, economic, social, environmental, and political challenges as well as opportunities. This study aims at developing a holistic definition of post-pandemic resilience in the Pacific context, based on the interconnected aspects and factors that contribute. As there is a gap in the literature for a holistic definition of post-pandemic resilience based on empirical studies from the Pacific Island countries, this study tries to plug that gap. Using a qualitative systems thinking approach, data was collected from primary and secondary sources including semi-structured interviews with ten senior leaders in the Pacific. This study first captures the multiple levels and different interconnected aspects of post-pandemic resilience in the Pacific and then presents a holistic definition. An analysis of the different papers published in this special issue based on this holistic definition and their contexts is also provided in this article. Overall, this study contributes to the literature and practice on post-pandemic resilience by developing a holistic definition using an empirical study based in the Pacific.
Associations Between Physical Characteristics and Golf Clubhead Speed: A Systematic Review with Meta-Analysis
Authors: Brennan Alex , Murray Andrew , Mountjoy Margo , Hellstrom John , Coughlan Dan , Wells Jack , Brearley Simon , Ehlert Alex , Jarvis Paul , Turner Anthony , Bishop Chris 
Published: February 2024

AbstractBackgroundHistorically, golf does not have a strong tradition of fitness testing and physical training. However, in recent years, both players and practitioners have started to recognise the value of a fitter and healthier body, owing to its potential positive impacts on performance, namely clubhead speed (CHS).ObjectiveThe aim of this meta-analysis was to examine the associations between CHS (as measured using a driver) and a variety of physical characteristics.MethodsA systematic literature search with meta-analysis was conducted using Medline, SPORTDiscus, CINAHL and PubMed databases. Inclusion criteria required studies to have (1) determined the association between physical characteristics assessed in at least one physical test and CHS, (2) included golfers of any skill level but they had to be free from injury and (3) been peer-reviewed and published in the English language. Methodological quality was assessed using a modified version of the Downs and Black Quality Index tool and heterogeneity assessed via theQstatistic andI2. To provide summary effects for each of the physical characteristics and their associations with CHS, a random effects model was used wherez-transformedrvalues (i.e.zr) were computed to enable effect size pooling within the meta-analysis.ResultsOf the 3039 studies initially identified, 20 were included in the final analysis. CHS was significantly associated with lower body strength (zr = 0.47 [95% confidence intervals {CI} 0.24–0.69]), upper body strength (zr = 0.48 [95% CI 0.28–0.68]), jump displacement (zr = 0.53 [95% CI 0.28–0.78]), jump impulse (zr = 0.82 [95% CI 0.63–1.02]), jumping peak power (zr = 0.66 [95% CI 0.53–0.79]), upper body explosive strength (zr = 0.67 [95% CI 0.53–0.80]), anthropometry (zr = 0.43 [95% CI 0.29–0.58]) and muscle capacity (zr = 0.17 [95% CI 0.04–0.31]), but not flexibility (zr = − 0.04 [95% CI − 0.33 to 0.26]) or balance (zr =  − 0.06 [95% CI − 0.46 to 0.34]).ConclusionsThe findings from this meta-analysis highlight a range of physical characteristics are associated with CHS. Whilst significant associations ranged from trivial to large, noteworthy information is that jump impulse produced the strongest association, upper body explosive strength showed noticeably larger associations than upper body strength, and flexibility was not significant. These findings can be used to ensure practitioners prioritise appropriate fitness testing protocols for golfers.
A noise-robust voice conversion method with controllable background sounds
Authors: Chen Lele , Zhang Xiongwei , Li Yihao , Sun Meng , Chen Weiwei 
Published: February 2024

AbstractBackground noises are usually treated as redundant or even harmful to voice conversion. Therefore, when converting noisy speech, a pretrained module of speech separation is usually deployed to estimate clean speech prior to the conversion. However, this can lead to speech distortion due to the mismatch between the separation module and the conversion one. In this paper, a noise-robust voice conversion model is proposed, where a user can choose to retain or to remove the background sounds freely. Firstly, a speech separation module with a dual-decoder structure is proposed, where two decoders decode the denoised speech and the background sounds, respectively. A bridge module is used to capture the interactions between the denoised speech and the background sounds in parallel layers through information exchanging. Subsequently, a voice conversion module with multiple encoders to convert the estimated clean speech from the speech separation model. Finally, the speech separation and voice conversion module are jointly trained using a loss function combining cycle loss and mutual information loss, aiming to improve the decoupling efficacy among speech contents, pitch, and speaker identity. Experimental results show that the proposed model obtains significant improvements in both subjective and objective evaluation metrics compared with the existing baselines. The speech naturalness and speaker similarity of the converted speech are 3.47 and 3.43, respectively.
A Review of Rechargeable Zinc–Air Batteries: Recent Progress and Future Perspectives
Authors: Nazir Ghazanfar , Rehman Adeela , Lee Jong-Hoon , Kim Choong-Hee , Gautam Jagadis , Heo Kwang , Hussain Sajjad , Ikram Muhammad , AlObaid Abeer A. , Lee Seul-Yi , Park Soo-Jin 
Published: February 2024

AbstractZinc–air batteries (ZABs) are gaining attention as an ideal option for various applications requiring high-capacity batteries, such as portable electronics, electric vehicles, and renewable energy storage. ZABs offer advantages such as low environmental impact, enhanced safety compared to Li-ion batteries, and cost-effectiveness due to the abundance of zinc. However, early research faced challenges due to parasitic reactions at the zinc anode and slow oxygen redox kinetics. Recent advancements in restructuring the anode, utilizing alternative electrolytes, and developing bifunctional oxygen catalysts have significantly improved ZABs. Scientists have achieved battery reversibility over thousands of cycles, introduced new electrolytes, and achieved energy efficiency records surpassing 70%. Despite these achievements, there are challenges related to lower power density, shorter lifespan, and air electrode corrosion leading to performance degradation. This review paper discusses different battery configurations, and reaction mechanisms for electrically and mechanically rechargeable ZABs, and proposes remedies to enhance overall battery performance. The paper also explores recent advancements, applications, and the future prospects of electrically/mechanically rechargeable ZABs.
Distracted by Previous Experience: Integrating Selection History, Current Task Demands and Saliency in an Algorithmic Model
Authors: Meibodi Neda , Abbasi Hossein , Schubö Anna , Endres Dominik 
Published: February 2024

AbstractAttention can be biased by previous learning and experience. We present an algorithmic-level model of this selection history bias in visual attention that predicts quantitatively how stimulus-driven processes, goal-driven control and selection history compete to control attention. In the model, the output of saliency maps as stimulus-driven guidance interacts with a history map that encodes learning effects and a goal-driven task control to prioritize visual features. The model works on coded features rather than image pixels which is common in many traditional saliency models. We test the model on a reaction time (RT) data from a psychophysical experiment. The model accurately predicts parameters of reaction time distributions from an integrated priority map that is comprised of an optimal, weighted combination of separate maps. Analysis of the weights confirms selection history effects on attention guidance. The model is able to capture individual differences between participants’ RTs and response probabilities per group. Moreover, we demonstrate that a model with a reduced set of maps performs worse, indicating that integrating history, saliency and task information are required for a quantitative description of human attention. Besides, we show that adding intertrial effect to the model (as another lingering bias) improves the model’s predictive performance.
Antifungal effect of Aloe barbadensis Miller gel extract on Candida albicans: Development of an eco-friendly herbal antifungal finish on cotton fabric for medical application
Authors: Fernando Anushka , Perera Rangika , Jayawardane M. A. Madura M. , Saavedra Ricardo 
Published: February 2024

AbstractThe application of natural antimicrobial agents has garnered significant interest within the healthcare and medical textile industries because they are functionally active textiles that can inhibit the excessive proliferation of microorganisms. The present study aimed to evaluate the antifungal properties of Aloe barbadensis Miller ethanol extract to develop an eco-friendly A. barbadensis Miller ethanolic gel treated cotton fabric against vulvovaginal candidiasis caused by Candida albicans. The antifungal activity of A. barbadensis Miller ethanol extract against C. albicans was evaluated by the well diffusion method, and the highest concentration (5 mg/ml) showed a maximum mean zone diameter of 24.00 ± 1.00 mm. Moreover, the minimum inhibitory concentration was recorded as 3.12 mg/ml by the broth macrodilution method. The cotton fabric (100% cotton) was treated with 4 mg/ml of A. barbadensis Miller ethanol extract using the pad-dry-cure method. The treated fabric exhibited a clear zone of inhibition against C. albicans using the agar diffusion method. The wash durability test showed that treated cotton fabric retained antifungal activity up to 15 washing cycles with a fungal growth reduction rate of 15%. In conclusion, A. barbadensis Miller ethanol extract showed concentration dependent inhibitory activity on C. albicans; furthermore, treated fabric also exhibited effective antifungal activity against vulvovaginal candidiasis caused by C. albicans in vitro.
Investigations of the recycling of airbag filters from the cement industry into fabric/polymer or fabric/cement composite materials
Authors: El Messiry Magdi , Al-Oufy Affaf , Elmor Marwa 
Published: February 2024

AbstractThe cement industry, an essential contributor to global infrastructure development, generates substantial amounts of airborne pollutants during cement production processes. Bag filters play a crucial role in mitigating these emissions by capturing particulate matter and improving air quality. However, conventional bag filters eventually wear out and need replacement, leading to a significant environmental burden from discarded filter materials. This study explores a sustainable approach to address this issue by investigating the potential of recycling used bag filters from the cement industry. The focus of the investigation is on fabric/polymer or fabric/cement composite materials, which exhibit promising properties for recycling applications. The research begins with an in-depth analysis of the discarded bag filters. This characterization enables the selection and optimization of suitable recycling processes for fabric/polymer or fabric/cement composites. Furthermore, the study evaluates the performance of recycled fabric/polymer or fabric/cement composites as alternatives to conventional methods of bag filters in cement recycling and mechanical parameters of the airbag filter when used as reinforcement in the polyester matrix or cementitious composites. In conclusion, recycling bag filters of the cement industry in fabric/polymer or fabric/cement composite materials offers a promising avenue for reducing waste generation and enhancing resource efficiency. The study underscores the importance of transitioning towards circular economy principles in industrial processes. Recycling bag filters in the cement industry is a sustainable approach that supports environmental responsibility and contributes to the circular economy. It helps conserve resources, reduce waste, and minimize industry’s impact on the environment.