bluuebunny/crossref_metadata_2025_split huggingface dataset:
Occupational health and safety regulatory interventions to improve the work environment: An evidence and gap map of effectiveness studies
Authors: Bondebjerg Anja , Filges Trine , Pejtersen Jan Hyld , Kildemoes Malene Wallach , Burr Hermann , Hasle Peter , Tompa Emile , Bengtsen Elizabeth 
Published: December 2023

AbstractBackgroundUnsafe and unhealthy working conditions lead to injuries and financial losses across the globe, resulting in a need for research into effective work environment interventions.ObjectivesThe objective of this evidence and gap map (EGM) is to provide an overview of existing systematic reviews and primary studies examining the effects of occupational health and safety regulatory interventions.Search MethodsRelevant studies are identified through searches in published and unpublished literature performed up to January 2023.Selection CriteriaThe population for this EGM is workers above the age of 15 and their workplaces within the OECD. We include randomised controlled trials, non‐randomised studies with a comparison of two or more groups of participants, and systematic reviews of effects.Data Collection and AnalysisThe map has been populated based on information about interventions and outcomes, study design, OECD country, and publication status. We have performed critical appraisal of included systematic reviews using an adjusted version of the AMSTAR‐2 tool.Main ResultsThe included studies for this report consist of six systematic reviews, 28 primary effect studies, and three on‐going studies. The interactive map shows that the largest cluster of studies is located in the inspection activity domain, while the sickness absence outcome domain and the intervention categories for training initiatives and formulation of regulatory standards are only scarcely populated. Additionally, the AMSTAR‐appraisal suggests a lack of rigorous systematic reviews and meta‐analyses.Authors’ ConclusionsMore research in the form of primary studies and rigorous systematic reviews is needed to provide stakeholders with better guidance as to what constitutes the most efficient regulatory approaches to improve the work environment.
Shape‐Editable Transparent Wood Based on In‐Situ Polymerization of Epoxy Vitrimers Embedded with Luminescent BODIPY Molecules for Smart Decoration Materials
Authors: Wu Tiantian , Xu Yaning , Cui Ziwei , Wang Kaili , Kang Lixing , Cai Yahui , Li Jianzhang , Liu Zhipeng , Tian Dan 
Published: December 2023

AbstractTransparent wood (TW) combining unique anisotropic structure has broad application prospects in the field of advanced building furniture materials. Many efforts have been made to add quantum dots or nanoparticles to TW to endow it with additional functionality, such as luminescent, electrochromic, and thermochromic TW. However, luminous TW with shape‐editable functionality and its new applications have yet to be explored. Benefiting from the excellent luminescence performance in a diluted solution state, BODIPY (4,4‐difluoro‐4‐bora‐3a,4a‐diazas‐indacene) dyes have been widely used for bio‐sensing and bioimaging. In addition, vitrimers exhibit excellent	stimuli‐responsive, shape‐memory, and reprocessing properties thanks to exchangeable dynamic covalent crosslinking networks, which are suitable for fabricating smart TW. Herein, combing these advantages, a dual‐functional transparent wood composite (P‐SEFTW) with photoluminescent and shape editable function was developed by introducing BODIPY dyes and vitrimers into the delignified wood (DW) templates. P‐SEFTW displays good UV luminescence, unique light guiding and directional scattering effects. Meanwhile, it shows excellent shape‐recovery, shape‐programming, shape‐erasing, and re‐programming capability under thermal‐stimulus. These characteristics enable TW to exhibit great prospect as an advanced smart and functional building material.
Applying sustainable development goals in financial forecasting using machine learning techniques
Authors: Chang Ariana , Lee Tian‐Shyug , Lee Hsiu‐Mei 
Published: December 2023

AbstractThis study seeks to identify the impact of sustainable development goals (SDGs) in predicting corporate financial performance (CFP) in the information communications technology (ICT) industry. Data over the period of 2016–2020 that are relevant to financial reporting and corporate social responsibility (CSR) reporting have been extracted for 208 firms in the ICT industry. Important variables have been identified to help predict the financial performance in the following years upon the publication of CSR reports. Drawing on resource‐based view and stakeholder theory, the purpose of this study is to find the quintessential variables that influence the prediction accuracy of financial performance. To better forecast earnings per share (EPS), machine learning feature selection methods have been implemented. The findings suggest that certain variables such as return on total assets, SDGs adoption and whether the firm has established KPI for SDGs achievements can help enhance EPS prediction. With the various predictive models, the artificial neural network model is the most effective in predicting CFPs. Most importantly, the adoption of SDGs can be utilized to sharpen the forecast on financial performance as it enables firms to bolster stakeholder engagement and evaluate environmental, social, and corporate governance efforts.
Listening to parents caring for individuals with eating disorders through the lens of the common‐sense model of illness perception
Authors: Treasure Janet , Livanou Maria 
Published: December 2023

AbstractMarchetti and Sawrikar (International Journal of Eating Disorders, 2023) used the framework of the Common‐Sense Model of the Self‐Regulation to explore the perceptions and experiences of parents caring for individuals with anorexia nervosa (AN) from a systematic review of the literature. The studies they reviewed delved into the subjective experiences of parents and considered the influence of emotional and cognitive representations of AN which were predominantly negative. Parents play a key role in all stages of the management of an eating disorder and so our commentary sets the findings into the wider context of eating disorder services. It is important that we continue to forge a collaborative approach with parents that addresses their needs and insights to improve our knowledge about, and services for people with eating disorders.
Water depth influences survival and predator‐specific patterns of nest loss in three secretive marsh bird species
Authors: Schmidt Stephanie M. , Fournier Auriel M. V. , Osborn Joshua M. , Benson Thomas J. 
Published: December 2023

AbstractWetlands have become increasingly rare in the United States, negatively influencing wetland‐dependent birds, and many remaining wetlands are intensively managed through seasonal dewatering mimicking historic flood pulses during spring and summer. However, water around nests may provide protection from terrestrial predators, and lowering water levels during the breeding season of wetland birds may increase predation risk and exacerbate marsh bird population declines. Understanding interactions between water depth, nesting marsh birds, and nest predators is critical to aid managers in developing a multi‐species management approach in emergent wetlands. During the 2020 and 2021 breeding seasons, we examined nest survival of 148 marsh bird nests (American Coot,Fulica americana,n = 1; Common Gallinule,Gallinula galeata,n = 64; and Least Bittern;Ixobrychus exilis,n = 83) and installed cameras at 78 nests to identify predators at a large, restored floodplain wetland in Illinois where the primary management technique is seasonal water removal to stimulate germination of moist soil plants. We found nest predation of, and abandonment by, Least Bittern and Common Gallinule were related to shallower water, and early season, high volume dewatering. Least Bitterns nested more commonly along wetland edges and nests farther from the shore were more likely to survive. Similarly, we found mammalian depredation of nests and nest abandonment decreased when deeper water was present around nests. Alternatively, snake predation was observed earlier in the year prior to water removal from inundated emergent vegetation. Our results demonstrate water depth may be an important deterrent of nest predators, especially mammals, during the breeding season. Further, we recommend managers delay dewatering until after the nesting season at sites where management for conservation‐priority marsh birds is a focus.
Cooperativity in Hydrogen‐Bonded Macrocycles Derived from Nucleobases
Authors: Almacellas David , van der Lubbe Stephanie C. C. , Grosch Alice A. , Tsagri Iris , Vermeeren Pascal , Fonseca Guerra Célia , Poater Jordi 
Published: December 2023

AbstractIntroducing a rigid linear π‐conjugated acetylene linker into a supramolecular building block consisting of a hydrogen‐bond donor side and a hydrogen‐bond acceptor side yields a decrease in cooperativity in the resulting formed quartet. This follows from our Kohn‐Sham molecular orbital and Voronoi deformation density analyses of hydrogen‐bonded macrocycles based on guanine and cytosine nucleobases. The acetylene linker abstracts electron density from the hydrogen‐bond acceptor and donor, making the hydrogen‐bond acceptor more negatively charged and the hydrogen‐bond donor more positively charged and hence suppressing the donor–acceptor charge transfer interaction between the interacting fragments. This, ultimately, hampers the cooperativity in the hydrogen‐bonded macrocycle. We envision that these findings could open the door to new design principles for the development of novel hydrogen‐bond supramolecular macrocycles.
New Isoxazole‐Substituted Aryl Iodides: Metal‐Free Synthesis, Characterization and Catalytic Activity
Authors: Rimi  , Uttam Bhawna , Zhdankin Viktor V. , Kumar Ravi 
Published: December 2023

AbstractA series of new isoxazole‐substituted aryl iodides 1 a–1 d have been synthesized by DIB‐mediated [3+2] cycloaddition reaction of 2‐iodo‐1,3‐bis(prop‐2‐yn‐1‐yloxy) benzene (4) with corresponding benzaldehyde oximes 5 a–5 d. Structure of the synthesized aryl iodides 1 were characterized by IR, 1H NMR, 13C NMR and HRMS. The structure of 1 a was also confirmed by single‐crystal X‐ray crystallography. Further, catalytic activity of iodoarenes 1 a–1 d was screened for the oxidation of hydroquinones and sulfides. On oxidation using aryl iodides 1 with m‐CPBA as terminal oxidant, hydroquinones afforded benzoquinones while sulfides gave corresponding sulfoxides in good to excellent yields. Iodoarene 1 b showed the best catalytic activity for the oxidation of sulfides and hydroquinones. Moreover, iodoarene 1 b, was also utilized for α‐oxytosylation of acetophenones.
Seismic behavior and modeling of T‐shaped reinforced concrete walls under high axial force ratios
Authors: Ji Xiaodong , Sun Lei , Wang Shuo , Kolozvari Kristijan 
Published: December 2023

AbstractThis paper presents large‐scale quasi‐static tests conducted to investigate the seismic behavior of slender T‐shaped walls under a high axial compression force ratio of approximately 0.19. Four specimens were designed per various codes and design methods for comparison. All specimens failed in a flexural mode, characterized by the crushing of concrete and buckling or fracture of boundary longitudinal rebars at the web toe. The specimens designed per the US code ACI 318‐19 provisions and designed using displacement‐based method exhibited satisfactory deformation capacity with an ultimate drift exceeding 2.0%, which validates the effectiveness of the provisions and displacement‐based method for T‐shaped walls under high axial force ratios. However, the specimen designed per the Chinese code GB 50011‐2010 experienced a sudden drop in strength after 1.0% drift in flange‐in‐tension loading, indicating insufficient design of the special boundary element at the web toe and the necessity of improvement of the current Chinese code provisions. The flexural strength of the T‐shaped wall specimens can be accurately estimated using cross‐sectional analysis. Analysis of the test data indicated that the effective stiffness of the T‐shaped RC walls with an axial force ratio of no greater than 0.1 was significantly lower than 0.35EcIg, while that of the T‐shaped walls with an axial force ratio of 0.19 reached 0.5–0.7EcIg. Existing equations did not provide accurate estimate of the effective stiffness of T‐shaped walls. The lateral drift limit formulation developed by Segura and Wallace could reasonably estimate the lateral drift capacities for the T‐shaped RC wall specimens under high axial force ratios. Finally, three conceptually different models, namely the MVLEM‐3D, SFI‐MVLEM‐3D, and multi‐layer shear element models were adopted for the simulation of T‐shaped RC walls. All three models reasonably predicted the flexural strength capacity (mostly less than 15% error) and the effective stiffness (13%–43% error) of the T‐shaped walls.
A comparative study of the impact on combustion and emission characteristics of nanoparticle‐based fuel additives in the internal combustion engine
Authors: Gupta Aveek , Kumar Ravinder , Maurya Ashish , Ahmadi Mohammad H. , Ongar Bulbul , Yegzekova Anara , Sharma Jeet Prakash , Kanchan Sumit , Shelare Sagar 
Published: December 2023

AbstractThe search for an effective solution to improve performance and emission characteristics of internal combustion (IC) engines used in the commercial sector is regarded as one of the most important and essential issues in recent years due to increasing levels of pollution. Nanoparticles with their additive ability to increase fuel reactivity and atomization, due to their large surface area and high heat transfer coefficient, can improve the performance and emission characteristics of a fuel. This review highlights the use of nanoparticles as fuel additives to enhance the emission and performance characteristics of IC engines. Detailed comparisons of performance, emission, and combustion characteristics of IC engines using fuels blended with nanoparticles have been done. Nanoparticles were observed to be an oxygen buffer for fuel combustion and boost fuel atomization, thus enhancing engine performance. While alumina exhibited a decrease in levels of HC and CO but a considerable increase in NOx, graphene nanoparticles and ceria were found to be particularly effective in enhancing engine performance. Detailed study has been done on other nanoparticles, including metal‐oxide, nonmetal‐oxide as well as carbon nanoparticles. Overall, the use of nanoparticles can enhance the thermophysical characteristics of fuels, improving the emission and performance characteristics of engines. The review suggests that selecting the right dosage and variety of nanoparticles is crucial for optimizing engine performance, and thus directly helps in tackling the ongoing pollution problem.
The stochastic stability and H∞‐fuzzy control of stochastic bifurcation of a doubly‐fed induction generator
Authors: Chen Wei , Li Qiangqiang , Wei Zhanhong , Wang Kun 
Published: December 2023

AbstractConsidering the dynamic behavior of doubly‐fed induction generators (DFIGs) under the influence of random factors, this paper not only analyzes the phenomenon of stochastic instability and bifurcation of a DFIG dynamic variable in its random space when they are affected by environmental noise, but also proposes a method based on the Tkagi–Sugneo (T–S) fuzzy control strategy to control its stochastic bifurcation. First, a four‐dimensional stochastic dynamic DFIG model is established by using multiplicative white noise to simulate the influence of environmental noise on electrical variables, and stochastic central manifold theory is used to reduce the dimensionality of a planar model in the bifurcation neighborhood. Then, the stochastic stability of the model is investigated based on singular boundary theory, while the steady‐state probability density of the stochastic DFIG is determined using the Fokker–Plank–Kolmogorov equation to obtain the location and probability density of its stochastic P‐bifurcation. Finally, the influence of stochastic bifurcation behavior is eliminated by H∞‐fuzzy output feedback control. The numerical simulation results indicate that the location and probability of stochastic bifurcation in a DFIG will vary with the change in noise intensity, and the bifurcation parameter values and stochastic stability domain are obtained. The harm caused by random factors can be solved based on H∞‐fuzzy output feedback, which provides a theoretical basis for the stable operation of the DFIG system.
Reactions to asynchronous video interviews: The role of design decisions and applicant age and gender
Authors: Tilston Ottilie , Krings Franciska , Roulin Nicolas , Bourdage Joshua S. , Fetzer Michael 
Published: December 2023

AbstractAsynchronous video interviews (AVIs) are a form of one‐way, technology‐mediated selection interview that can help streamline and increase flexibility in the hiring process and are used to hire millions of applicants per year. Although applicant reactions to AVIs in general tend to be more negative than with traditional interview modalities, AVIs can differ widely in how they are designed. For instance, applicants can be provided with more or less preparation time, response length, rerecording options, or rely on different question formats. This study examines how AVI design features impact applicant reactions, as well as the moderating role played by applicant age and gender. Data from 27,809 real job applicant's AVI experiences were collected in 11 countries (69.3% English‐speaking) from 33 companies and relating to 72 types of positions. Data were fitted with linear mixed‐effects models to account for nesting. Results showed that allowing more preparation time and offering the opportunity to rerecord responses were related to more favorable reactions, while including more questions was related to more negative reactions. Applicants above the age of 31 reacted especially negatively to AVIs with more questions while those below the age of 30 preferred being allocated longer maximum response lengths. Women reacted more positively to increased preparation time. These findings might help both AVI vendors and hiring organizations design AVIs that facilitate a positive applicant experience. Our research also expands knowledge on applicant reactions to interviews, highlights crucial differences from traditional formats, and calls for integrating applicant characteristics into current theoretical frameworks on applicant reactions to AVIs.
Integrating climate model projections into environmental risk assessment: A probabilistic modeling approach
Authors: Moe S. Jannicke , Brix Kevin V. , Landis Wayne G. , Stauber Jenny L. , Carriger John F. , Hader John D. , Kunimitsu Taro , Mentzel Sophie , Nathan Rory , Noyes Pamela D. , Oldenkamp Rik , Rohr Jason R. , van den Brink Paul J. , Verheyen Julie , Benestad Rasmus E. 
Published: December 2023

Abstract
The Society of Environmental Toxicology and Chemistry (SETAC) convened a Pellston workshop in 2022 to examine how information on climate change could be better incorporated into the ecological risk assessment (ERA) process for chemicals as well as other environmental stressors. A major impetus for this workshop is that climate change can affect components of ecological risks in multiple direct and indirect ways, including the use patterns and environmental exposure pathways of chemical stressors such as pesticides, the toxicity of chemicals in receiving environments, and the vulnerability of species of concern related to habitat quality and use. This article explores a modeling approach for integrating climate model projections into the assessment of near- and long-term ecological risks, developed in collaboration with climate scientists. State-of-the-art global climate modeling and downscaling techniques may enable climate projections at scales appropriate for the study area. It is, however, also important to realize the limitations of individual global climate models and make use of climate model ensembles represented by statistical properties. Here, we present a probabilistic modeling approach aiming to combine projected climatic variables as well as the associated uncertainties from climate model ensembles in conjunction with ERA pathways. We draw upon three examples of ERA that utilized Bayesian networks for this purpose and that also represent methodological advancements for better prediction of future risks to ecosystems. We envision that the modeling approach developed from this international collaboration will contribute to better assessment and management of risks from chemical stressors in a changing climate. Integr Environ Assess Manag 2024;20:367–383. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
The investigation of the effects of monosodium glutamate on healthy rats and rats with STZ‐induced diabetes
Authors: Urcar Gelen Sevda , Ozkanlar Seckin , Gedikli Semin , Atasever Mustafa 
Published: December 2023

AbstractMonosodium glutamate (MSG, E621) is a flavor‐enhancing food additive used widely in the food preparation industry and consumed regularly. It is considered that long‐term consumption of MSG causes metabolic syndrome and obesity. Diabetes mellitus (DM) is a chronic metabolic disease characterized by high blood sugar, polyuria, polydipsia, and polyphagia, in which insulin secreted from pancreatic β cells is inadequate for maintaining blood glucose homeostasis. Rats were application 65 mg/kg streptozotocin (STZ) solution intraperitoneally and a diabetes model was created. For this purpose, freshly prepared STZ was injected into the peritoneum. Tumor necrosis factor‐α, interleukin (IL)‐10, IL‐6, and IL‐1β levels in STZ, MSG, and STZ + MSG groups were found to be significantly increased in inflammation parameters measured on the 28th day of administration when compared to the Control Group (p < 0.001). Also, although malondialdehyde (MDA) levels increased significantly in the STZ + MSG group when compared to the control group (p < 0.001), glutathione (GSH), and superoxide dismutase (SOD) levels were significantly decreased in the STZ, MSG, and STZ + MSG groups when compared to the control group (p < 0.001). Also, although glucose levels increased significantly in STZ and STZ + MSG at the end of the 28th day (p < 0.01), insulin levels decreased in STZ, MSG, and STZ + MSG groups when compared to the control groups (p < 0.01). As a result, it was found that STZ and MSG application significantly increased cytokine production, increased MDA, which is an oxidant parameter in pancreatic tissue, and decreased antioxidants (GSH and SOD) when compared to the control groups. It was also found that MSG disrupted the normal histological structure in pancreatic cells, and the damage was much more in both exocrine and endocrine pancreatic areas in the STZ + MSG group when compared to the STZ and MSG groups. It was considered that with the increased use of MSG, the susceptibility to DM might increase along with tissue damage significantly in diabetic groups, therefore, MSG must be used in a limited and controlled manner.