bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Synthesis of Six‐Armed Antimicrobial Polymer to Battle Against Nosocomial Pathogens
Authors: Nagaraja Akshatha , Kanth Shreya , Jalageri Manohara Dhulappa 
Published: October 2024

ABSTRACTThe world is under threat from microorganisms that have evolved resistance to currently available medicinal drugs and multidrug resistance among bacterial pathogens is becoming to be a serious public health issue worldwide. It is imperative to find or develop new antibiotics against Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species (ESKAPE) pathogens because they exhibit multidrug resistance and virulence through a variety of mechanisms. ESKAPE infections are often associated with increased global healthcare costs, morbidity, and illnesses. As a result, the utilization of naturally occurring bioactive agents offers a solution since these molecules are widely available and safe to employ during their use. Ricinoleic acid, an extract of seed oil that contains an unsaturated omega‐9 fatty acid and hydroxy acid, has garnered increasing interest due to its wide‐range antibacterial properties. Herein, we report the synthesis of polyethyleneimine‐ricinoleic acid‐based polymer (PEIRA) to battle against Methicillin‐resistant Staphylococcus aureus (MRSA), Acinetobacter baumannii (one among ESKAPE) and Staphylococcus aureus. The synthesized polymer showed efficient activity against MRSA, Acinetobacter baumannii, and Staphylococcus aureus. A noticeable percentage inhibition against MRSA (74%), A. baumannii (73%), and S. aureus (81%) was achieved at 2.5 mg/mL. The time‐kill assay revealed that the PEIRA polymer exhibited a bacteriostatic effect against all the tested pathogens. Cytotoxicity assay on human dermal fibroblast (HDF) cell lines revealed the PEIRA has an IC 50 of 31.7 μg/mL and exhibited above 75% cell viability at the concentration 5 and 10 μg/mL were deemed nontoxic on HDF. Based on the investigation, the synthesized PEIRA polymer may have promising applications in the biomedical sector and hospital‐acquired infections (HAIs).
Evaluation of the off‐axis and on‐axis tensile creep behavior of glass‐fiber reinforced polymer unidirectional lamina
Authors: Gao Qinglin , Zhao Xueling , Sun Qing 
Published: October 2024

AbstractThe off‐axis creep behavior of glass‐fiber reinforced polymer (GFRP) unidirectional lamina is crucial for engineering structural applications. A unified prediction model for time‐dependent off‐axis and on‐axis tensile creep strain in GFRP lamina is developed. The model, analogous in form to the one‐parameter plasticity model, accounts for off‐axis creep deformation separately for elastic and plastic response stages, incorporating a correction term to describe on‐axis creep deformation. The accuracy of the model is confirmed through tensile creep tests on unidirectional lamina at angles of 0, 15, 30, 45, 60, and 90 degrees. The model successfully predicts of creep deformation in the elastic and plastic response stages, respectively. The effects of creep stress, creep time, and off‐axis angle on the creep behavior are investigated. The optimal test angles for predicting off‐axis creep behavior using only two off‐axis angles' creep tests are analyzed. The dominant factors of creep behavior at various off‐axis angles are evaluated. The findings of the study include recommendations for lay‐up configuration and engineering applications of GFRP composites.Highlights
A unified creep strain prediction model for GFRP lamina was developed.
Creep strain was calculated separately in elastic and plastic response stages.
The link between stress, time, angle and creep behavior was determined.
The optimal test angles for predicting off‐axis creep behavior were evaluated.
School support, perceived value and teachers' digital training adaptability: A multilevel moderated mediation model
Authors: Zhao Yaqian , Zhao Keyun , Wei Shiqi 
Published: October 2024

AbstractDigital training has significantly transformed the landscape of teacher professional development, introducing various uncertainties. In this context, adaptability can play a crucial role in helping teachers cope with stress and effectively navigate new and changing scenarios. However, existing research on adaptability has not adequately addressed the specific challenges and opportunities presented by digital training, nor has it thoroughly explored the interplay between external factors and individual characteristics. Therefore, this study is based on job demands‐resources (JD‐R) theory to explore the school‐level (school support) and individual‐level (perceived value) predictors that influence teachers' digital training adaptability (DTA) and their mechanisms of action through hierarchical linear model. To this end, a questionnaire was administered to 552 teachers from 55 schools who had participated in digital training. The results of multilevel regression analyses show that (1) emotional support and cognitive support have a significant positive effect on teachers' DTA; (2) perceived value plays a mediating role in the relationship among emotional support, cognitive support, and teachers' DTA; and (3) emotional support weakens the relationship between perceived value and teachers' DTA, but cognitive support enhances this relationship. The study discusses these results further to propose feasible recommendations for building a community that improves the support system and adopts evidence‐based policy‐making to enhance the effectiveness and relevance of training, thereby improving teachers' DTA.
Different predictors of high school students' mathematics achievement
Authors: Gülşen Turgut İlknur , Bakır Nur Şebnem 
Published: October 2024

AbstractThis study examined the relationships between factors contributing to high school students’ mathematics achievement. Three hundred fourteen high school students participated in the study. We collected the data through the “Self‐Efficacy Scale for Mathematics Literacy,” “Bidimensional Mathematics Anxiety Scale,” “Mathematics Self‐Efficacy Scale,” “Attitudes Towards Mathematics Scale Short Form,” and mathematics exams. For this purpose, we proposed a theoretical model and tested the assumptions based on the model with path analysis. The results showed a positive and significant relationship between mathematical literacy self‐efficacy with mathematics self‐efficacy perception and attitudes towards mathematics. In addition, mathematics self‐efficacy perception had a positive and significant relationship with attitudes towards mathematics and a negative and significant relationship with mathematics anxiety. Also, attitudes towards mathematics had a positive and significant relationship with mathematics achievement, and mathematics anxiety had a negative and significant relationship with mathematics achievement. For every individual to use mathematics to meet basic life skills, all stakeholders of education, especially teachers, need to understand its importance, resources and how they can empower individuals in this aim. The relationships revealed in this study will serve the development of this understanding.
School psychology graduate students' perspectives on multicultural training and program environment
Authors: Malone Celeste M. , Barclift MyLea , Heidelburg Kamonta 
Published: October 2024

AbstractSchool psychology training programs are vital to promoting culturally responsive and equity‐centered practices. However, research on multicultural training in school psychology tends to be based on faculty reports, often excluding graduate students' perspectives. The present investigation sought to obtain a more comprehensive understanding of multicultural training in school psychology. A sample of 108 graduate students completed the Multicultural Environmental Inventory‐Revised and a training experiences questionnaire to explore their perspectives on the models and methods used for school psychology multicultural training, perceptions of their program's multicultural environment, and the extent to which these perceptions are associated with programs' multicultural training offerings. Results indicate that almost all participants reported that their programs provided multicultural training. However, there was limited discussion of diversity regarding age, gender identity, national origin, and religion, and of social justice topics. Additionally, there were differences in perceptions of multicultural program environment by race, sexual orientation, and political ideology. Findings of this study suggest that programs should emphasize social justice and skills‐based instruction and create program environments that support the development of cultural competence. Recommendations for enhancing multicultural training and creating inclusive program environments are provided.
Understanding the Intersection of Identity and Cancer Experience Among Racially, Ethnically, Gender and Sexual Minoritized Adolescents and Young Adults With Cancer
Authors: Hanson Kaitlyn , Hatala Andrew , Zohair Mirha , Scott Ian , Ramasamay Vinesha , Wilson Kristin , van Velzen Roxanne , Tayabee Zeba , Schulte Fiona , Stirling Morgan , Louis Deepak , Lix Lisa M. , Garland Allan , Mahar Alyson , Oberoi Sapna 
Published: October 2024

ABSTRACTObjectivesAdolescents and young adults (AYAs, 18–39 years) with cancer identifying as racially/ethnically minoritized or 2SLGBTQIA+ (Two‐Spirit, lesbian, gay, bisexual, transgender, queer, intersex, asexual and “+” referring to other queer identities) have been underrepresented in cancer research. This study explores the aspects of identity that hold significance for these minoritized AYAs and how these facets impact their healthcare experiences.MethodsEligible participants comprised English‐speaking AYAs who self‐identified as racially/ethnically minoritized and/or 2SLGBTQIA+, were diagnosed with cancer between the ages of 15–39, currently aged > 18, and had received or were receiving cancer care within Canadian healthcare system. Additionally, four patient partners meeting the same criteria were recruited as research collaborators. Semi‐structured one‐on‐one virtual interviews guided by an interview script were conducted, and qualitative analysis employed a framework approach.ResultsWe recruited 23 participants from 4 Canadian provinces (mean age: 28, Range: 20–44); 17 identified as racially/ethnically minoritized, one as sexual/gender minoritized, and five as racially/ethnically and sexually/gender minoritized. Participants emphasized that their culture/ethnicity, religion/spirituality, sexuality, gender, family, career, and being an immigrant are important aspects of their identity, with only one participant recognizing their identity as a “person with cancer”. A cancer diagnosis altered the aspects of identity deemed most significant by participants. Both visible and invisible aspects of identity shaped participants' experiences and influenced their level of trust in the healthcare system.ConclusionRacially, ethnically, gender, or sexually minoritized AYAs with cancer place considerable importance on aspects of their identity that are shaped by their respective communities. Recognizing and respecting these identities are paramount for healthcare professionals to deliver safe and inclusive care.
The first kind of predictability problem of El Niño predictions in a multivariate coupled data‐driven model
Authors: Qin Bo , Yang Zeyun , Mu Mu , Wei Yuntao , Cui Yuehan , Fang Xianghui , Dai Guokun , Yuan Shijin 
Published: October 2024

AbstractEl Niño‐Southern Oscillation (ENSO) is the dominant atmosphere–ocean coupled mode of year‐to‐year variations in the tropical Pacific. It shows diverse spatiotemporal characteristics and casts major influences on seasonal predictions of global weather–climate extrema. Despite numerous dynamical and statistical models for ENSO prediction and predictability studies, they are commonly subjected to one‐to‐three issues among less skillful simulation of El Niño diversity, huge requirements of computational resources and a low robustness in statistics. Here, an efficient deep‐learning model involving nonlinear coupling of multiple variables is independently developed to study the predictability of two types of El Niño events related to initial uncertainty, which is the first kind of predictability problem. The model can skillfully simulate statistically robust features of observed El Niño diversity in terms of periodicity, amplitude, and seasonal phase‐locking. Using this model, we have revealed mathematically several new types of fastest‐growing initial errors in two types of El Niño predictions based on a novel concept of conditional nonlinear optimal perturbation (CNOP), especially including one that can strengthen central Pacific types of events, which is rarely investigated before. Moreover, CNOPs are superimposed into a numerical model, GFDL CM2p1, for comprehensive validation and growth mechanism mining, which demonstrates the consistent dynamical evolution of initial errors in both numerical and AI models. Our study represents the first attempt to explore the first kind of ENSO predictability problem from perspectives of nonlinear error‐evolving dynamics using a data‐driven model. This is of great importance as it offers us sufficient confidence to perform ENSO‐related (such as the Madden–Julian Oscillation, etc.) mechanisms and predictability studies in the future without strongly relying on dynamical numerical models.
Molecular Simulation and Impact of Solvent‐Based Analysis of 2‐Methoxy‐4‐Allylphenol (Eugenol) Targeting Progesterone Receptor for Breast Cancer Therapy
Authors: Arumugam Karthick , Zochedh Azar , Chandran Kaliraj , Sultan Asath Bahadur , Kathiresan Thandavarayan 
Published: October 2024

ABSTRACTBreast cancer is a leading cause of cancer‐related morbidity and mortality among women globally. It arises from the abnormal proliferation of cells within breast tissue and can manifest in several subtypes, classified by the expression of hormone receptors. The main objective of this work is to assess the effect of solvent on 2‐methoxy‐4‐allylphenol's (2M4AP) in quantum chemical calculations and ability of 2M4AP to bind with the proteins associated with breast cancer. The non‐toxic nature of 2M4AP was initially validated through drug‐likeness studies and it complies with Lipinski's criteria. The optimization of 2M4AP structure was carried out in gas and liquid phase in DFT technique with B3LYP/6‐311++G (d, p) level. Then the electronic spectrum was calculated in TD‐DFT technique and the transition was determined to be n → σ*. The steadiness, charge dispersal and electronic properties were assessed and the band energy value was calculated to be 5.58 eV (gas) and 5.64 eV (liquid), exhibiting a stable confirmation of 2M4AP structure. Topological characteristics exhibited the intermolecular connections of 2M4AP along with electronic features. From the simulated results, the effect of solvent (water) in 2M4AP was very minimal and the structure is stable in both gas and liquid phase. Further, the docking studies, 2M4AP exhibited highest binding score of −7.3 kcal/mol with progesterone receptor, confirming the better ability of 2M4AP to react in hormone‐positive breast cancer. The Ramachandran plot confirms the stability of interacted amino acids with the ligand molecule. Thus, 2M4AP can be considered as a potent candidate for treatment of breast cancer after clinical studies.
Factors related to the recruitment and retention of ethnic minority teachers: What are the barriers and facilitators?
Authors: See Beng Huat , Gorard Stephen , Gao Yiyang , Hitt Loraine , Siddiqui Nadia , Demie Feyisa , Tereshchenko Antonina , El Soufi Nada 
Published: October 2024

AbstractThis paper reports on the findings of a comprehensive structured review of the factors that can help explain and perhaps improve the recruitment and retention of ethnic minority teachers in schools. This issue has been a policy concern in several countries. The review followed a conventional protocol, beginning with a search of key educational, psychological and sociological databases, followed by intensive screening and weighting the strength of evidence of each included report. Fifty‐one studies relevant to the research question were finally included in the review. There is strong evidence that the ethnic match between school leaders and teachers is strongly linked to the hiring and retention of minority ethnic teachers. Although there is some evidence that the student ethnicity of the school may be an important factor in the retention of ethnic minority teachers, this chiefly applies to Black teachers in the studies found from the USA. The entry qualifications and assessment criteria for certification to teach were deemed potential barriers to ethnic minority prospective teachers entering teaching. There is no good evidence that alternative certification of teachers increased the probability of ethnic minority teachers being hired or retained, but there are certain supportive features of alternative pathways that could improve their chances.
Effects of sustainable innovation on stakeholder engagement and societal impacts: The mediating role of stakeholder engagement and the moderating role of anticipatory governance
Authors: Chen Lei , Qalati Sikandar Ali , Fan Mingyue 
Published: October 2024

AbstractWhile sustainable innovation practice is encouraged in enterprises belonging to the manufacturing sector for reducing their carbon footprint and mitigating negative ecological impacts, there is a lack of empirical evidence regarding the effects of sustainable innovation. Hence, this study attempts to investigate the influence of sustainable innovation on stakeholder engagement and societal impact. Additionally, in the study, an attempt is made to bring forth insights into mediation and moderation of SE, and anticipatory governance, respectively. Based on an analysis of cross‐sectional data from 456 Chinese individuals, our empirical results, using partial least square structural equation modeling, reveal significant influences of sustainable innovation on stakeholder engagement and societal impacts. Furthermore, though stakeholder engagement partially mediates the sustainable innovation–societal impact relationship, moderation by anticipatory governance is significant on the sustainable innovation–stakeholder engagement relationship. These findings provide invaluable insight to the policymakers in China to set regulations and incentives that will allow the birth of sustainability in manufacturing industries.
New Quadratic Discriminant Analysis Algorithms for Correlated Audiometric Data
Authors: Guo Fuyu , Zucker David M. , Vaden Kenneth I. , Curhan Sharon , Dubno Judy R. , Wang Molin 
Published: October 2024

ABSTRACTPaired organs like eyes, ears, and lungs in humans exhibit similarities, and data from these organs often display remarkable correlations. Accounting for these correlations could enhance classification models used in predicting disease phenotypes. To our knowledge, there is limited, if any, literature addressing this topic, and existing methods do not exploit such correlations. For example, the conventional approach treats each ear as an independent observation when predicting audiometric phenotypes and is agnostic about the correlation of data from the two ears of the same person. This approach may lead to information loss and reduce the model performance. In response to this gap, particularly in the context of audiometric phenotype prediction, this paper proposes new quadratic discriminant analysis (QDA) algorithms that appropriately deal with the dependence between ears. We propose two‐stage analysis strategies: (1) conducting data transformations to reduce data dimensionality before applying QDA; and (2) developing new QDA algorithms to partially utilize the dependence between phenotypes of two ears. We conducted simulation studies to compare different transformation methods and to assess the performance of different QDA algorithms. The empirical results suggested that the transformation may only be beneficial when the sample size is relatively small. Moreover, our proposed new QDA algorithms performed better than the conventional approach in both person‐level and ear‐level accuracy. As an illustration, we applied them to audiometric data from the Medical University of South Carolina Longitudinal Cohort Study of Age‐related Hearing Loss. In addition, we developed an R package, PairQDA, to implement the proposed algorithms.
Determining the Minimal Important Change of the Recap of Atopic Eczema (RECAP) Instrument in Clinical Trials
Authors: Baker Arabella , Stuart Beth , Howells Laura , Mitchell Eleanor J. , Thomas Kim S. 
Published: October 2024

Abstract

Background
The Recap of atopic eczema (RECAP) is a patient-reported instrument designed to assess eczema control. There is a lack of evidence on the interpretability of change scores in clinical trials.

Objectives
To calculate the smallest detectable change (SDC) in RECAP and estimate the minimal important change (MIC) for RECAP using various calculation methods in three eczema clinical trial datasets.

Methods
In this study, four anchor-based methods (within-person score change, between-patient score change, predictive modelling, receiver operating characteristic curve) and a distribution-based method (effect size) was used to determine the MIC of RECAP. The trial datasets involved children (0–12 years), young people (13–25 years) and adults (&gt;25 years) with all eczema severities.

Results
A total of 698 participants were included in this study. The SDC was between 1.74 and 1.80. For the anchor-based methods, the patient global assessment anchor provided MIC values ranging from 2.35 to 3.94 and the patient oriented eczema measure anchor yielded values between 1.11 and 3.62. The MIC for the distribution-based method ranged from 2.66 to 3.06, respectively.

Conclusions
The interpretability of RECAP was improved by establishing MIC values and the following thresholds are suggested for interpreting changes in RECAP scores: &lt;2.0 points is possibly a measurement error; 2.0–2.9 points denotes a small improvement that may be clinically relevant; 3.0–3.9 points indicates an improvement that is likely to be clinically important and ≥4.0 points is highly likely to represent a clinically important change.