bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing sustainability considerations in construction industry projects
Authors: Moshood Taofeeq D. , Rotimi James OB , Shahzad Wajiha 
Published: April 2024

AbstractIn today’s society, the construction sector significantly influences all three aspects of sustainability: economic, environmental, and social. Industry and academia have recognized sustainability in construction projects as a key concern. The New Zealand government also focuses on providing a sustainable construction sector centred on high performance, high productivity, enhanced innovation, and improving community well-being through a better-built environment. Project management and sustainability are two distinct areas of research. Previous empirical research on the effectiveness of construction project implementation lacked sustainability success components. This research aims to provide criteria for project sustainability success for future performance on construction projects. Based on the existing literature, many economic, environmental, and social sustainability indicators were compiled for consideration at various pipeline project life cycle phases. The information gathered from the Scopus database was analyzed using ATLAS.ti 9 software to create project sustainability success criteria. Pipeline construction projects and sustainability must focus on environmental challenges while managing economic and social advantages. The research investigated sustainable construction adoption, revealing weak awareness among organizations due to limited understanding among key actors like clients, regulatory bodies, and construction organizations. Lack of effective application of sustainability guidelines, inadequate legislation, and building codes were significant hurdles in implementing sustainable practices in the construction sector. The study highlights essential issues to promote sustainable practices in the industry. The study findings suggest that organizations and individual factors are strong predictors for achieving sustainable construction and are vital antecedents leading to greater sustainability adoption. Finally, the study points to construction project managers’ knowledge of how to set up criteria connected to sustainability and how it could affect the outcome of their projects.
Autistic Women’s Experience of Motherhood: A Qualitative Analysis of Reddit
Authors: Thom-Jones Sandra , Melgaard Imogen , Gordon Chloe S. 
Published: April 2024

AbstractAutistic mothers remain under-represented in parental and autism research despite the associated physical and psychosocial challenges that accompany the transition to motherhood. Extant literature suggests autistic mothers experience sensory difficulties, communication challenges, stigma, and comorbidities as difficulties, but these studies have focused on autistic women in the perinatal period. The aim of this study was to examine reflections on motherhood from a Reddit community for autistic parents. Identified themes were Autistic Mothering is Different, Autistic Mothers Need Autistic Mothers, Autistic Mothers Experience Stigma, and Learnings from Lockdown. Findings extend existing research by offering insight into the ways autism impacts mothers beyond the perinatal period and have important implications for the future design and delivery of support services for autistic mothers.
Plagiarism and Wrong Content as Potential Challenges of Using Chatbots Like ChatGPT in Medical Research
Authors: Sedaghat Sam 
Published: April 2024

AbstractChatbots such as ChatGPT have the potential to change researchers’ lives in many ways. Despite all the advantages of chatbots, many challenges to using chatbots in medical research remain. Wrong and incorrect content presented by chatbots is a major possible disadvantage. The authors’ credibility could be tarnished if wrong content is presented in medical research. Additionally, ChatGPT, as the currently most popular generative AI, does not routinely present references for its answers. Double-checking references and resources used by chatbots might be challenging. Researchers must also be careful not to harm copyright law or cause plagiarism issues using applications such as ChatGPT. Chatbots are trained on publicly available sources on the internet, increasing the risk of copyright or plagiarism issues. Therefore, chatbots such as ChatGPT should not be used routinely for professional medical research for now. However, further developments could make chatbots usable in medical research in the near future.
The Influence of the COVID 19 Pandemic on Food Insecurity Among Cancer Survivors Across New York State
Authors: Camacho-Rivera Marlene , Haile Katherine , Pareek Eshani , D’Angelo Debra , Gany Francesca , Maglione Francesca , Jack Kellie , Cather Alexina , Phillips Erica 
Published: April 2024

AbstractPeople surviving cancer represent a particularly vulnerable population who are at a higher risk for food insecurity (FI) due to the adverse short- and long-term effects of cancer treatment. This analysis examines the influence of the COVID-19 pandemic on the prevalence of FI among cancer survivors across New York State (NYS). Data from the 2019 and 2021 NYS Behavioral Risk Factor Surveillance System (BRFSS) were used to estimate the prevalence of FI. Multivariable logistic regression was used to explore socioeconomic determinants of FI. Among cancer survivors, FI varied geographically with a higher prevalence in New York City compared to the rest of the state (ROS) prior to (25.3% vs. 13.8%; p = .0025) and during the pandemic (27.35% vs. 18.52%; p = 0.0206). In the adjusted logistic regression model, pre-pandemic FI was associated with non-White race (OR 2.30 [CI 1.16–4.56]), household income <$15,000 (OR 22.67 [CI 6.39–80.43]) or $15,000 to less than <$25,000 (OR 22.99 [CI 6.85–77.12]), and more co-morbidities (OR 1.39 [CI 1.09–1.77]). During the pandemic, the association of FI with non-White race (OR 1.76 [CI 0.98–3.16]) was attenuated but remained significant for low household income and more co-morbidities. FI was newly associated with being out of work for less than one year (OR 6.36 [CI 1.80–22.54] and having one (OR 4.42 [CI 1.77–11.07]) or two or more children in the household (OR 4.54 [CI 1.78–11.63]). Our findings highlight geographic inequities and key determinants of FI among cancer survivors that are amendable to correction by public health and social policies, for which several were momentarily implemented during the pandemic.
Differential scanning calorimetry of age-hardenable aluminium alloys: effects of sample preparation, experimental conditions, and baseline correction
Authors: Arnoldt Aurel R. , Grohmann Lukas , Strommer Stephan , Österreicher Johannes A. 
Published: April 2024

AbstractPrecipitation processes in age hardenable aluminium alloys are often investigated by differential scanning calorimetry (DSC). The endothermic and exothermic peaks of the DSC signal correspond to the dissolution and formation of phases, respectively. However, parasitic effects can lead to an unintended curvature of the DSC signal. Although a baseline correction can be used, some imperfections typically remain. Additionally, sample preparation and experimental conditions can influence the precipitation sequence itself and, therefore, the DSC curve. In this study, we investigate the influence of sample preparation by milling and punching on DSC curves for three different aluminium alloys: EN AW-2024, EN AW-6082, and EN AW-7075. Additionally, the influence of quenching and natural ageing was investigated for EN AW-6082. We found that deformation introduced by punching the DSC samples with a piercing die after heat treatment leads to a change in the precipitation kinetics in 2xxx, 6xxx, and 7xxx series alloys. The influence was strongest for punching the samples after solution heat treatment and less significant for punching after artificial ageing. The influence of sample preparation can be avoided by punching the samples before solution heat treatment. If this is not practicable, milling of the samples is a good alternative. The choice of quenching medium and short storage at room temperature before measurement (5 min) had only small effects on the DSC curves. Moreover, the start temperature of the measurement was found to be crucial. For observing phases forming below 100 °C and for low-bias baseline correction, the measurement should start at low-temperatures (i.e. $$\sim$$
∼
− 50 °C).
Numerical study of the effect of aspect ratio on the entropy generation due to Rayleigh–Benard convection in 2D trapezoidal cavity
Authors: Bilal Sardar , Khan Noor Zeb , Akgül Ali 
Published: April 2024

AbstractThe investigation of entropic variations in the thermal transport mechanism produced by buoyantly driven temperature gradients has attracted significant attention because of excellent physical significance. Therefore, the prime consent to manipulate the current investigation is to explore the impact of change in the aspect ratio of the trapezoidal cavity in the optimization of the entropy phenomenon. After attaining motivation from its practical essence different entropies including thermal, viscous, and local are estimated. Additionally, global quantities such as average Bejan and Nusselt numbers calculated along with total entropy are measured against flow concerning parameters (aspect ratio (AR), Rayleigh number (Ra) and irreversibility ratio ($$\phi $$
ϕ
)). Numerical experiments are performed by implementing a finite element approach using open-source software renowned as COMSOL Multiphysics. Before the accomplishment of the outcomes, confirmation of the numerical technique is assured by establishing grid sensitivity testing. Comparison of results between present and previous studies is also demonstrated. A wide range of involved sundry parameters varying from $${10}^{-4}\le \phi \le {10}^{-2}$$

10

-
4

≤
ϕ
≤

10

-
2

, $${10}^{2}\le {\text{Ra}}\le {10}^{5} \; {\text{and}} \; 0.25\le {\text{AR}}\le 0.75$$

10

2

≤
Ra
≤

10

5

and

0.25
≤
AR
≤
0.75

are accounted. It is concluded that by escalating the aspect ratio from 0.50 to 0.75, the magnitude of the local entropy enhances from 3370 to 3424. It is revealed that the highest value of viscous entropy that is, 45, is achieved at Ra = 105 and by keeping the aspect ratio of enclosure equal to 0.75, whereas, the thermal entropy approaches 2 for the same situation of parameters. The magnitude of the average Bejan number reaches unity at AR = 0.5 and Ra = 105, whereas for low and high aspect ratios it depicts a magnitude less than 1 for the same Rayleigh number.
Phase transitions in mixtures based on poly(lactic acid) and two polymeric nucleants processed under a fast or slow cooling from the melt
Authors: Barranco-García R. , Muñoz-Bonilla A. , Cerrada M. L. , Echeverria C. , Fernández-García M. 
Published: April 2024

AbstractMixtures based on two different poly(lactic acid)s (PLA) matrices and two distinct nucleating agents, incorporated at several contents, were prepared by extrusion. Furthermore, two thermal treatments were applied during the processing of films from the melt: a quenching (Q) and a slow (S) cooling. Crystalline characteristics of the resultant polymeric systems were mainly triggered by the PLA matrix used and by the cooling rate applied, turning out less important the nature of the nucleant. Thus, stereocomplex crystals were developed almost exclusively in the Q samples while coexistence of homo and stereocomplex crystallites was noticed when slow cooling was imposed. The type of homocrystallites present in the specimens was also dependent on the cooling rate applied during film processing. In the Q systems, crystals were grown on heating through a cold crystallization, as observed by differential scanning calorimetry; while they were developed along the cooling stage in the S materials. Influence of these structural characteristics on mechanical response was also evaluated by microhardness measurements.
Climate-smart agriculture: adoption, impacts, and implications for sustainable development
Authors: Ma Wanglin , Rahut Dil Bahadur 
Published: April 2024

AbstractThe 19 papers included in this special issue examined the factors influencing the adoption of climate-smart agriculture (CSA) practices among smallholder farmers and estimated the impacts of CSA adoption on farm production, income, and well-being. Key findings from this special issue include: (1) the variables, including age, gender, education, risk perception and preferences, access to credit, farm size, production conditions, off-farm income, and labour allocation, have a mixed (either positive or negative) influence on the adoption of CSA practices; (2) the variables, including labour endowment, land tenure security, access to extension services, agricultural training, membership in farmers’ organizations, support from non-governmental organizations, climate conditions, and access to information consistently have a positive impact on CSA adoption; (3) diverse forms of capital (physical, social, human, financial, natural, and institutional), social responsibility awareness, and digital advisory services can effectively promote CSA adoption; (4) the establishment of climate-smart villages and civil-society organizations enhances CSA adoption by improving their access to credit; (5) CSA adoption contributes to improved farm resilience to climate change and mitigation of greenhouse gas emissions; (6) CSA adoption leads to higher crop yields, increased farm income, and greater economic diversification; (7) integrating CSA technologies into traditional agricultural practices not only boosts economic viability but also contributes to environmental sustainability and health benefits; and (8) there is a critical need for international collaboration in transferring technology for CSA. Overall, the findings of this special issue highlight that through targeted interventions and collaborative efforts, CSA can play a pivotal role in achieving food security, poverty alleviation, and climate resilience in farming communities worldwide and contribute to the achievements of the United Nations Sustainable Development Goals.
Iterative MILP algorithm to find alternate solutions in linear programming models
Authors: Kakkad Dev A. , Grossmann Ignacio E. , Springub Bianca , Galanopoulos Christos , Salsano de Assis Leonardo , Tran Nga , Wassick John M. 
Published: April 2024

AbstractWe address in this paper linear programming (LP) models in which it is desired to find a finite set of alternate optima. An LP may have multiple alternate solutions with the same objective value or with increasing objective values. For many real life applications, it can be interesting to have a pool of solutions to compare what operations should be executed and what is the cost/benefit of doing it. To obtain a specified number of these alternate solutions in the increasing order of objective values, we propose an iterative MILP algorithm in which we successively add integer cuts on inactive constraints. We demonstrate the application and effectiveness of this algorithm on a 2 dimensional LP and on small and large supply chain problems. The proposed iterative MILP algorithm provides an effective approach for finding a specified number of alternate optima in LP models, which provides a useful tool in a variety of applications as for instance in supply chain optimization problems.
Logicality in natural language
Authors: Sagi Gil 
Published: April 2024

AbstractIs there a relation of logical consequence in natural language? Logicality, in the philosophical literature, has been conceived of as a restrictive phenomenon that is at odds with the unbridled richness and complexity of natural language. This article claims that there is a relation of logical consequence in natural language, and moreover, that it is the subject matter of the bulk of current theories of formal semantics. I employ the framework of semantic constraints (Sagi in Log Anal 57(227):259–276, 2014), which generalizes the Tarskian definition of logical consequence. I apply the widely accepted criterion of invariance under isomorphisms (Sher in J. Symb Log 61(2):653–686, 1996) generalized to the framework of semantic constraints (Sagi in Bull Symb Log 28(1):104–132, 2022b), combined with a theory of Glanzberg (in Metasemantics: new essays on the foundations of meaning, 2014) to delineate the relation of logical consequence in natural language.
Symmetries and ground
Authors: Glazier Martin 
Published: April 2024

AbstractIf the tiles of a mosaic are arranged symmetrically, then the image those tiles constitute must be symmetric as well. This paper formulates and defends the general principle at work in this case: roughly, that a symmetry cannot ground an asymmetry. It is argued that the principle supports strong objections to four metaphysical views: qualitativism, relationalism, the tenseless or ‘B’ theory of time, and comparativism. A response to these objections is developed which appeals to fragmentalism, the view that reality contains facts which are incompatible with one another. But fragmentalism might be thought too bizarre to tolerate, and if it is, then the objections developed in this paper may well be fatal.
Normativity, prudence and welfare
Authors: Ridge Michael 
Published: April 2024

AbstractMost discussions of discourse about welfare and discourse about prudence are a “package deal” when it comes to their normativity—either both or neither are normative. In this paper I argue against this conventional “package deal” assumption. I argue that discourse about welfare is not normative in one useful sense of that term, but that prudential discourse is normative. My argument draws in part on ideas from Derek Parfit’s account of personal identity. I then offer a novel positive account of the meaning of ‘welfare’. On the proposed account, the concept of welfare is not itself normative, in the sense of functioning directly to settle the thing to do. Even a global nihilist can coherently make claims about welfare. However, the concept of welfare is in a sense I will articulate “conditionally normative,” and this merely conditional normativity explains many of the data points which might seem to imply that welfare discourse is normative.
Adolescents’ Intentions to Study Science: the Role of Classroom-based Social Support, Task Values, and Self-efficacy
Authors: Mackenzie Erin , Holmes Kathryn , Berger Nathan , Cole Caitlin 
Published: April 2024

AbstractDeclining enrolments in senior secondary science have heightened concerns for meeting the demands for more STEM-qualified workers and a scientifically literate society. Students' attitudes to science are formed during schooling, particularly in adolescence when they are exposed to a variety of science topics. Students’ perceptions of their ability in science and their subjective task values are well established as predictors of their likelihood of engaging with and continuing their study of science. However, the role of classroom-based social support in supporting ability perceptions and task values is less well understood. In this study, we examined relationships between adolescents’ perceived classroom-based social support, task values, and self-efficacy, and how these perceptions and attitudes predicted adolescents’ intentions to study the three major science subjects (biology, chemistry, and physics) in senior high school. Participants were 475 adolescents in Grades 8 to 10 recruited from six schools in Sydney, Australia. Structural equation modelling was employed to test the hypothesised model in which social support from science teachers and peers predicted intended science subject selections through science self-efficacy, intrinsic valuing of science, and utility value of science. Results indicate that science teacher and peer support were not directly related to adolescents’ intentions to study senior science subjects. Instead, they were indirectly related via their positive relationship with science self-efficacy and task values. Utility value was the strongest predictor of adolescents’ intentions to study biology, chemistry, and physics, while self-efficacy and intrinsic value also predicted adolescents’ intentions to study chemistry. These results suggest that classroom-based social supports are important for supporting adolescents’ attitudes towards science, and that science utility value interventions may be useful in efforts to improve enrolments in senior science subjects.
How metric-based performance evaluation systems fuel the growth of questionable publications?
Authors: Öztürk Onur , Taşkın Zehra 
Published: April 2024

AbstractThe proliferation of questionable publishing practices has raised serious concerns in academia, prompting numerous discussions and investigations into the motivations behind researchers’ preference for such journals. In this study, we aimed to explore the impact of current academic performance evaluation systems on scholars’ questionable journal preferences in Turkey. Utilizing data from the comprehensive study conducted by Kulczycki et al. (2021) on questionable journals, we analyzed the academic careers of 398 researchers who authored 417 articles in this context. Our findings reveal a clear association between current research evaluation systems and journal selection, particularly during the process of applying for associate professorship. Notably, 96% of the articles published in questionable journals were listed in scholars’ academic profiles, indicating their use in academic promotion or incentive portfolios. While this study contributes valuable insights into the relationship between academic performance evaluation systems and questionable journal preferences, additional research is required to comprehensively understand the motivations behind scholars’ publishing choices and to devise effective strategies to combat questionable publishing practices in academia.
Strategic Indeterminacy and Online Privacy Policies: (Un)informed Consent and the General Data Protection Regulation
Authors: Green Daniel 
Published: April 2024

Abstract
Article 12 of the General Data Protection Regulation (GDPR) requires data controllers to provide data subjects with any information relating to data processing operations “in a concise, transparent, intelligible and easily accessible form, using clear and plain language.” Linguistic inclusivity of privacy policies is no longer a matter of style, but has been a binding legal requirement under the new data protection framework. Article 5 GDPR sets forth the requirements of lawfulness, fairness and transparency and prohibits any data processing operations which do not meet the standards of specification, explicitness and legitimacy of processing purposes [29]. In this study, a quantitative and qualitative analysis of linguistic indeterminacy in a corpus of 350 online privacy policies is presented and it is argued that a considerable number of data controllers continue to make use of strategic vagueness in the context of purpose limitation, therefore potentially prejudicing compliance with the GDPR. A legal-linguistic perspective on the current challenges of informed consent in European data protection law is provided. Finally, it is concluded that while the GDPR has contributed significantly to the linguistic empowerment of the data subject, the framework fails to satisfy the expectation of creating a participatory culture (see [36]) with a high degree of informational self-determination.