bluuebunny/crossref_metadata_2025_split huggingface dataset:
Augmented testing to support manual GUI-based regression testing: An empirical study
Authors: Bauer Andreas , Frattini Julian , Alégroth Emil 
Published: August 2024

Abstract
Context
Manual graphical user interface (GUI) software testing presents a substantial part of the overall practiced testing efforts, despite various research efforts to further increase test automation. Augmented Testing (AT), a novel approach for GUI testing, aims to aid manual GUI-based testing through a tool-supported approach where an intermediary visual layer is rendered between the system under test (SUT) and the tester, superimposing relevant test information.

Objective
The primary objective of this study is to gather empirical evidence regarding AT’s efficiency compared to manual GUI-based regression testing. Existing studies involving testing approaches under the AT definition primarily focus on exploratory GUI testing, leaving a gap in the context of regression testing. As a secondary objective, we investigate AT’s benefits, drawbacks, and usability issues when deployed with the demonstrator tool, Scout.

Method
We conducted an experiment involving 13 industry professionals, from six companies, comparing AT to manual GUI-based regression testing. These results were complemented by interviews and Bayesian data analysis (BDA) of the study’s quantitative results.

Results
The results of the Bayesian data analysis revealed that the use of AT shortens test durations in 70% of the cases on average, concluding that AT is more efficient. When comparing the means of the total duration to perform all tests, AT reduced the test duration by 36% in total. Participant interviews highlighted nine benefits and eleven drawbacks of AT, while observations revealed four usability issues.

Conclusion
This study presents empirical evidence of improved efficiency using AT in the context of manual GUI-based regression testing. We further report AT’s benefits, drawbacks, and usability issues. The majority of identified usability issues and drawbacks can be attributed to the tool implementation of AT and, thus, can serve as valuable input for future tool development.
Impact of log parsing on deep learning-based anomaly detection
Authors: Khan Zanis Ali , Shin Donghwan , Bianculli Domenico , Briand Lionel C. 
Published: August 2024

AbstractSoftware systems log massive amounts of data, recording important runtime information. Such logs are used, for example, for log-based anomaly detection, which aims to automatically detect abnormal behaviors of the system under analysis by processing the information recorded in its logs. Many log-based anomaly detection techniques based on deep learning models include a pre-processing step called log parsing. However, understanding the impact of log parsing on the accuracy of anomaly detection techniques has received surprisingly little attention so far. Investigating what are the key properties log parsing techniques should ideally have to help anomaly detection is therefore warranted. In this paper, we report on a comprehensive empirical study on the impact of log parsing on anomaly detection accuracy, using 13 log parsing techniques, seven anomly detection techniques (five based on deep learning and two based on traditional machine learning) on three publicly available log datasets. Our empirical results show that, despite what is widely assumed, there is no strong correlation between log parsing accuracy and anomaly detection accuracy, regardless of the metric used for measuring log parsing accuracy. Moreover, we experimentally confirm existing theoretical results showing that it is a property that we refer to as distinguishability in log parsing results—as opposed to their accuracy—that plays an essential role in achieving accurate anomaly detection.
The effect of asymmetric zeta potentials on the electro-osmotic flow of a generalized Phan–Thien–Tanner fluid
Authors: Ribau A. M. , Ferrás L. L. , Morgado M. L. , Rebelo M. , Pinho F. T. , Afonso A. M. 
Published: August 2024

AbstractElectrokinetic flows driven by electro-osmotic forces are especially relevant in micro and nano-devices, presenting specific applications in medicine, biochemistry, and miniaturized industrial processes. In this work, we integrate analytical solutions with numerical methodologies to explore the fluid dynamics of viscoelastic electro-osmotic/pressure-driven fluid flows (described by the generalized Phan–Thien–Tanner (gPTT) constitutive equation) in a microchannel under asymmetric zeta potential conditions. The constitutive equation incorporates the Mittag–Leffler function with two parameters ($$\alpha $$
α
and $$\beta $$
β
), which regulate the rate of destruction of junctions in a network model. We analyze the impact of the various model parameters on the velocity profile and observe that our newly proposed model provides a more comprehensive depiction of flow behavior compared to traditional models, rendering it suitable for modeling complex viscoelastic flows.
Place-belongingness in real-life contexts: A review of practical meanings, contributing factors, and evaluation methods
Authors: Mohseni Hesam , Silvennoinen Johanna , Kujala Tuomo 
Published: August 2024

AbstractPlace-belongingness is conceptualized as the subjective aspect of geographical belonging. Drawing upon a review of empirical studies spanning over a decade, we clarify this concept in real-life contexts, where people assign practical meanings to their place-belongingness. Thematic categorization of these practical meanings yields an extended definition of the concept. We also reclassify the factors contributing to place-belongingness and examine how it emerges in real-life scenarios. This review provides insights into methods for evaluating place-belongingness, emphasizing the need for a validated measurement tool for assessing the impact of interventions. Our findings highlight the promising role of information technologies in enhancing place-belongingness, although it is an unmapped terrain. The review suggests intensified attention to sustainability, the politicization of resources, and non-belonging within place-belongingness research. Moreover, we accentuate place-belongingness as a point of departure for unveiling the underlying inclusion/exclusion structures.
Collective Intrahousehold Labor Supply in Europe: Distribution Factors and Policy Implications
Authors: Belloc Ignacio , Velilla Jorge 
Published: August 2024

AbstractThis paper analyzes how variables that shape intrahousehold bargaining relate to spouses’ labor supply. We estimate a collective model using data from the EU-SILC over 2004–2019 for 17 countries. Results provide evidence of the relevance of the following distribution factors: sex ratio, non-labor income, age difference, education difference, and fertility rates. The sex ratio seems to be a distribution factor in Czech Republic, Denmark, Hungary, Ireland, Italy, Poland, Spain, and Switzerland. In addition, the wife’s share of non-labor income is a distribution factor in Belgium, Czech Republic, Estonia, Ireland, Italy, Luxembourg, Poland, Portugal, Spain, and the UK. In Austria, Belgium, Czech Republic, Denmark, Estonia, France, Ireland, Italy, Luxembourg, Switzerland, and the UK the spouses’ age gap displays opposite signs on spouses’ labor supply, whereas in Austria, Belgium, Czech Republic, Denmark, France, Hungary, Ireland, Luxembourg, Portugal, and the UK the spouses’ education level differences display intrahousehold bargaining signs. Finally, the fertility rate is a distribution factor in Austria, Czech Republic, Denmark, Estonia, France, Ireland, Latvia, Portugal, Switzerland, and the UK. These results indicate that spousal- and country-specific characteristics are assessed differently across Europe and may help planners to implement household policies on cash transfers, schooling, and fertility.
Immobilization of Arginase Using the Organic-Inorganic Hybrid Nanoflower Strategy for L-Ornithine Production
Authors: Liu Pengfu , Fan Junying , Chu Xiaohe 
Published: August 2024

Abstract
The utilization of arginase for catalyzing the synthesis of L-arginine into L-ornithine has proven to be an effective industrial production process. The poor stability of arginase hampers its synthesis efficiency. Organic-inorganic hybrid nanoflowers serve as an effective strategy for enzyme immobilization. However, the precipitation of such immobilized enzymes is prone to dissolution and destruction in amino acid solutions, limiting their applicability. This paper systematically investigates the solubility of organic-inorganic hybrid nanoflowers formed with common metal ions in typical amino acid solutions. Additionally, a novel approach involving the preparation of calcium phosphate hybrid nanoflowers using crude arginase is developed. The findings confirm that the immobilized arginase exhibits superior stability and a broader application range. In the reaction system where L-arginine is utilized as a substrate for synthesizing ornithine, the immobilized arginase demonstrates higher substrate conversion rates and ornithine concentrations compared to free arginase crude extract. This approach holds the potential for industrial applications due to its improved performance.
A review of the current situation and prospects for nanofluids to improve solar still performance
Authors: Rashid Farhan Lafta , Al-Obaidi Mudhar A. , Mohammed Hayder I. , Togun Hussein , Ahmad Shabbir , Ameen Arman 
Published: August 2024

AbstractDrinking water production has been thrust to the forefront of global issues as a direct result of the critical need for access to clean water and the expanding environmental difficulties. Solar stills are becoming an increasingly popular technology for the purification of water since they provide a greener and more cost-effective alternative to the production of distilled water of a high standard. Recent research has focused on the incorporation of nanofluids, which are suspensions of metallic or non-metallic nanoparticles, into base fluids such as water and oil in the hopes of further increasing the effectiveness of solar distillation. This novel technique intends to improve thermophysical and evaporation parameters, which will eventually lead to greater production in solar stills. In this paper, a complete overview of the most recent developments in the use of nanofluids in solar still technology is presented. This research investigates the potential of nanofluid-filled solar still systems by focusing on their one-of-a-kind qualities. These qualities include increased thermophysical properties, better thermal conductivity, and enhanced thermal absorptivity. The innovative nature of this method is highlighted by the fact that the use of nanofluids in active solar stills has proven a decrease in the amount of pumping power that is required. For instance, it has been ascertained that the inclusion of carbon quantum dots nanofluids to a solar still can expressively improve the water production, boosting the output by 57.9% to 823 mL compared to the 521 mL produced by a conventional still. Also, using a concentration of 0.9%, Al2O3, TiO2, CuO nanofluids and multiwall carbon nanotubes can boost the water production by 11.57%, 7.16%, 6.32%, and 4.66%, respectively, if compared to a solar still without nanofluids. This study serves as a pioneering examination of the future possibilities of nanofluid-enabled solar still systems, shining light on a transformational route toward environmentally friendly and effective water purification technologies. In light of these astonishing discoveries, this research serves as a pioneering exploration of the future prospects of nanofluid-enabled solar desalination units.
(-)-Epicatechin metabolites as a GPER ligands: a theoretical perspective
Authors: Ávila-Avilés Rodolfo Daniel , Bahena-Culhuac Erick , Hernández-Hernández J. Manuel 
Published: August 2024

AbstractDiet habits and nutrition quality significantly impact health and disease. Here is delve into the intricate relationship between diet habits, nutrition quality, and their direct impact on health and homeostasis. Focusing on (-)-Epicatechin, a natural flavanol found in various foods like green tea and cocoa, known for its positive effects on cardiovascular health and diabetes prevention. The investigation encompasses the absorption, metabolism, and distribution of (-)-Epicatechin in the human body, revealing a diverse array of metabolites in the circulatory system. Notably, (-)-Epicatechin demonstrates an ability to activate nitric oxide synthase (eNOS) through the G protein-coupled estrogen receptor (GPER). While the precise role of GPER and its interaction with classical estrogen receptors (ERs) remains under scrutiny, the study employs computational methods, including density functional theory, molecular docking, and molecular dynamics simulations, to assess the physicochemical properties and binding affinities of key (-)-Epicatechin metabolites with GPER. DFT analysis revealed distinct physicochemical properties among metabolites, influencing their reactivity and stability. Rigid and flexible molecular docking demonstrated varying binding affinities, with some metabolites surpassing (-)-Epicatechin. Molecular dynamics simulations highlighted potential binding pose variations, while MMGBSA analysis provided insights into the energetics of GPER-metabolite interactions. The outcomes elucidate distinct interactions, providing insights into potential molecular mechanisms underlying the effects of (-)-Epicatechin across varied biological contexts.
Enhancing the communication of an early warning system for drought in the Murray-Darling Basin, Australia
Authors: Graves Tara , Kuleshov Yuriy 
Published: August 2024

Abstract
An Early Warning System (EWS) for drought is a proactive management tool that has the potential to prevent and minimize loss of life, infrastructure, and habitats by providing effective and timely warnings of oncoming hazard. In this study, farmers from the Murray-Darling Basin (MDB), Australia’s most valuable agricultural region, were interviewed to identify the communication needs and barriers of drought early warning information. A qualitative, thematic analysis was conducted on data collected from semi-structured interviews with MDB farming individuals. Six themes emerged from the data: current communication channels, relevance of information, trust in current communication, communication channels for EWSs, community and trust for EWSs. Collectively, the themes highlighted farmers’ needs for accurate, relevant and easy to understand drought information. The need for warning information to be delivered in multiple ways and through multiple mediums was also emphasized. Analysis further found a lack of overall reliance on the current drought information that is provided. Findings of this study highlighted the need for improved user experience in future drought information tools which are localized, demographic specific and involve community consultation. The results obtained in this study will inform future communication strategies for a user-centered integrated EWS for drought.
The Impact of Monetary Policy on REITs: Evidence from FOMC Announcements
Authors: Rosa Carlo 
Published: August 2024

AbstractThis paper examines the response of equity and mortgage REITs to changes in the stance of monetary policy using an event study with intraday data. Monetary news around Federal Reserve’s announcements are decomposed into three types of surprise: changes in the current federal funds target rate, forward guidance and large-scale asset purchases. Estimation results show that monetary surprises have economically important and significantly negative effects on equity REITs. Around monetary announcements equity REIT returns are mostly spanned by US common stocks, while mortgage REITs maintain some distinct exposure to interest rate risks.
Does it Matter if Competition is “Fair” or “on the Merits”? An Application to Platform Self-Preferencing
Authors: Katz Michael L. 
Published: August 2024

Abstract
Platform self-preferencing is often attacked as being “unfair.” Proponents of the consumer welfare standard complain that a fairness standard is too vague and too untethered from competitive effects to be a useful guide for antitrust enforcement. However, the consumer welfare standard relies on assessment of whether competition is “on the merits,” and the criteria for “merits” substantially overlap with those for “fairness.” Both standards generally condemn: (a) deception; (b) raising rivals’ costs; and (c) gaining too much competitive advantage from past success, especially across markets. This article examines whether these criteria help identify when the competitive effects of self-preferencing are positive or negative. The discussion is framed in terms of a platform that facilitates the interaction of buyers and sellers, and chooses whether to preference certain sellers. As the literature has shown, whether it owns a seller or not, a platform may use preferencing to promote seller competition or to promote seller market power, depending on the circumstances. Given the varying effects of self-preferencing, a blanket prohibition is unwarranted. Unfortunately, the common criteria for fairness and merit do not reliably identify the direction of self-preferencing’s competitive effects. For example, deception by a lagging firm could strengthen competition in the sense of lowering equilibrium purchase prices and raising consumer welfare. And gaining “too much” competitive advantage from past successes could facilitate entry into new markets, thus increasing competition in those markets. Instead of applying criteria for fairness and merit, a case-by-case, fact-intensive analysis of actual competitive effects is needed.
Neuroanatomical and clinical factors predicting future cognitive impairment
Authors: Imms Phoebe , Chaudhari Nikhil N. , Chowdhury Nahian F. , Wang Haoqing , Yu Xiaokun , Amgalan Anar , Irimia Andrei 
Published: August 2024

AbstractIdentifying cognitively normal (CN) older adults who will convert to cognitive impairment (CI) due to Alzheimer’s disease is crucial for early intervention. Clinical and neuroimaging measures were acquired from 301 CN adults who converted to CI within 15 years of baseline, and 294 who did not. Regional volumes and brain age measures were extracted from T1-weighted magnetic resonance images. Linear discriminant analysis compared non-converters’ characteristics against those of short-, mid-, and long-term converters. Conversion was associated with clinical measures such as hearing impairment and self-reported memory decline. Converters’ brain volumes were smaller than non-converters’ across 48 frontal, temporal, and subcortical structures. Brain age measures of 12 structures were correlated with shorter times to conversion. Conversion prediction accuracy increased from 81.5% to 90.5% as time to conversion decreased. Proximity to CI conversion is foreshadowed by anatomic features of brain aging that enhance the accuracy of predicting conversion.
Complexities in supportive care for people with metastatic breast cancer: a qualitative study
Authors: Franklin Marika , Lewis Sophie , Smith Andrea L. 
Published: August 2024

Abstract
Purpose
The complexity of metastatic breast cancer, its rapidly evolving treatment, and the changing trajectory toward long-term survivorship create unique challenges for the provision of supportive care. The experiences of health professionals enacting supportive care in contexts of those living long-term with incurable cancer have received limited research attention. This qualitative study aimed to gain further insight into health professionals’ experiences of supportive care in this context.

Method
Semi-structured interviews were conducted via phone and online with 25 health and community-care professionals who support people living with metastatic breast cancer in Australia. A mix of sampling strategies was used. Thematic analysis was undertaken. Findings were interpreted through an ethics of care lens.

Results
Three key themes were identified. First, participants experienced supportive care as highly relational. Second, they encountered numerous moral and ethical dilemmas in enacting supportive care. Finally, enacting supportive care was complicated by fragmented and sporadic provision in a system in which supportive care is differentially valued across professions and settings.

Conclusion
Findings draw attention to complexities in enacting supportive care in the context of metastatic breast cancer, with implications to patients and professionals. To improve the quality of care provided to patients and minimise the risk of professional burnout, greater attention is needed in supportive care guidelines to the ethical, moral, and emotional complexities experienced by professionals in this context.

Implications for Cancer Survivors
People living with metastatic breast cancer are a growing proportion of cancer survivors. The knowledge gained through this study may help professionals to better meet the supportive care needs of people living with metastatic breast cancer, a treatable but not curable condition.
A qualitative study on blood and marrow transplant recipients’ perceptions of health professional roles following BMT and preferences for ongoing care
Authors: McErlean Gemma , Ashley Christine , Pradhan Anisha , Yenson Vanessa , Paterson Alana , Farnham Gai , Owen Fran , Watson Anne-Marie , Presgrave Peter , Kerridge Ian , Halcomb Elizabeth 
Published: August 2024

Abstract
Purpose
Survivors of blood and marrow transplantation (BMT) require life-long follow-up involving both tertiary transplant and primary care services. This paper explores the attitudes and preferences of BMT survivors and their carers regarding the transition from BMT centre care to primary care.

Methods
This qualitative study involved semi-structured interviews with BMT survivors and carers from New South Wales, Australia. Interviews were audio-recorded, transcribed verbatim and thematically analysed.

Results
Twenty-two BMT survivors and six carers were interviewed. Two themes emerged: (1) ‘Relationships with health professionals’ and (2) ‘Challenges of long-term care’. Participants, particularly rural/regional survivors, had diverse views on the availability of community BMT expertise and identified a range of strategies to optimise care for BMT survivors.

Conclusions
These results highlight the importance BMT survivors and carers place on their relationships with, and ongoing access to, specialised BMT teams for long-term care. While some are happy to receive community-based care, concerns exist about the capacity of primary care providers, particularly in rural and regional areas. Improved support, communication and coordination between BMT centres and primary care may help facilitate a person-centred, sustainable shared care model. Provider education, use of telehealth and clear delineation of roles and responsibilities may assist in this transition.

Implications for Cancer Survivors
As BMT survivors live longer post-treatment, transitions of care and sustainable long-term care models are needed. A shared care approach, integrating specialised BMT teams and local primary care, may optimise outcomes but requires further development to balance accessibility, preferences, and specialised care needs.