bluuebunny/crossref_metadata_2025_split huggingface dataset:
A longitudinal study of school climate: Reciprocal effects with student engagement and burnout
Authors: Grazia Valentina 
Published: April 2022

AbstractThe literature on school climate, albeit vast, is limited by a scarcity of longitudinal research. This two‐wave longitudinal study aims to bridge this gap by (a) assessing, over two school years, the changes in students’ perceptions of several dimensions of school climate and (b) exploring the reciprocal longitudinal effects of student perceptions of school climate and multiple dimensions of engagement and burnout. The study was conducted with a sample of 243 Italian middle school students (Wave 1: sixth grade, Mage = 11.68; Wave 2: seventh grade, Mage = 12.64; 51.7% girls). Analyses of variance showed, in the second school year, a decrease in students' satisfaction with various school climate dimensions. With a latent cross‐lagged model, better school climate perceptions were found to predict higher emotional engagement and lower symptoms of burned‐out exhaustion a year later. The practical implications of these findings are considered in the discussion and conclusion.
Is relational aggression a means of pursuing social goals among adolescents with specific personality traits?
Authors: Voulgaridou Ioanna , Kokkinos Constantinos M. , Markos Angelos 
Published: April 2022

AbstractThis study explored the short‐term longitudinal associations between Five Factor Model (FFM) and social goals (social dominance, popularity, and intimacy), with relational aggression (RAgg) as a mediator. RAgg was claimed to mediate the positive correlations of neuroticism with dominance and popularity, whereas extraversion was argued to positively relate to intimacy through low RAgg. The participants were 2207 Greek 13‐ to 16‐year‐olds (M = 14.04; 52.8% female), mostly from middle‐class families. Respondents completed three self‐report measures (T1, T2; 6‐month interval) during the school year. Confirmatory factor analysis explored a measurement model, whereas a longitudinal mediation model tested whether RAgg mediates the relationship between personality and social goals. Cross‐lagged correlations revealed associations of RAgg with neuroticism, dominance, and popularity but not openness, conscientiousness, extraversion, and agreeableness. Weak positive correlations emerged between FFM traits and intimacy, neuroticism, and dominance. Results indicated positive indirect effects from Τ1 neuroticism and negative from T1 agreeableness to Τ2 RAgg, which was then positively linked to T2 dominance and popularity. The research highlights the importance of RAgg as a mechanism for endorsing social goals for adolescents with specific personality traits. Intervention strategies aiming at limiting RAgg could consider agreeableness and neuroticism, providing adolescents with the behavioral tools to cope with anxiety and negative affect.
Parental marital conflict, negative emotions, phubbing, and academic burnout among college students in the postpandemic era: A multiple mediating models
Authors: Zhang Han , Gao Tingting , Hu Qing , Zhao Lin , Wang Xiaolei , Sun Xiaohan , Li Shujun 
Published: April 2022

AbstractGiven the serious effects of coronavirus disease 2019 on academic burnout, this study aims to examine the multiple mediating roles of negative emotions and phubbing in the relationship between parental marital conflict and academic burnout. A total of 1353 college students participated in this study. The results showed that parental marital conflict not only had a direct effect on academic burnout but also affected academic burnout through three indirect paths: parental marital conflict‐negative emotions‐academic burnout, parental marital conflict‐phubbing‐academic burnout, and parental marital conflict‐negative emotions‐phubbing‐academic burnout. The parental marital conflict increased the risk of negative emotions and phubbing in college students and had a subsequent impact on academic burnout. Implications for prevention and intervention are discussed.
Corticosteroid response predicts bronchopulmonary dysplasia status at 36 weeks in preterm infants treated with dexamethasone: A pilot study
Authors: Feldman Keith , Nitkin Christopher R. , Cuna Alain , Oschman Alexandra , Truog William E. , Norberg Michael , Nyp Michael , Taylor Jane B. , Lewis Tamorah 
Published: April 2022

AbstractImportanceA major barrier to therapeutic development in neonates is a lack of standardized drug response measures that can be used as clinical trial endpoints. The ability to quantify treatment response in a way that aligns with relevant downstream outcomes may be useful as a surrogate marker for new therapies, such as those for bronchopulmonary dysplasia (BPD).ObjectiveTo construct a measure of clinical response to dexamethasone that was well aligned with the incidence of severe BPD or death at 36 weeks' postmenstrual age.DesignRetrospective cohort study.SettingLevel IV Neonatal Intensive Care Unit.ParticipantsInfants treated with dexamethasone for developing BPD between 2010 and 2020.Main Outcome(s) and Measure(s)Two models were built based on demographics, changes in ventilatory support, and partial pressure of carbon dioxide (pCO2) after dexamethasone administration. An ordinal logistic regression and regularized binary logistic model for the composite outcome were used to associate response level to BPD outcomes defined by both the 2017 BPD Collaborative and 2018 Neonatal Research Network definitions.ResultsNinety‐five infants were treated with dexamethasone before 36 weeks. Compared to the baseline support and demographic data at the time of treatment, changes in ventilatory support improved ordinal model sensitivity and specificity. For the binary classification, BPD incidence was well aligned with risk levels, increasing from 16% to 59%.Conclusions and RelevanceIncorporation of response variables as measured by changes in ventilatory parameters and pCO2 following dexamethasone administration were associated with downstream outcomes. Incorporating drug response phenotype into a BPD model may enable more rapid development of future therapeutics.
RISK score for developing ventilator‐associated pneumonia in children: The RISVAP study
Authors: Girona‐Alarcón Mònica , Bobillo‐Perez Sara , Solé‐Ribalta Anna , Cuadras Daniel , Guitart Carmina , Balaguer Mònica , Cambra Francisco‐José , Jordan Iolanda 
Published: April 2022

AbstractObjectivesVentilator‐associated pneumonia (VAP) is the second most common healthcare‐associated infection in children. The aim of this study was to determine the risk factors for VAP in children and to create a risk score for developing VAP (RISVAP score).Study designIt was a prospective observational study, including children who required mechanical ventilation (MV), registered in the multicentre ENVIN‐HELICS database from 2014 to 2019. The regression coefficients of each independent risk factor for VAP were used to create the RISVAP score. Each factor scored 0 if it was absent, or, if it was present, an assigned value from 1 to 7, according to the regression coefficient.ResultsA total of 3798 patients were included, 97(2.5%) developing VAP. The independent risk factors for VAP were: female (odds ratio [OR]: 1.642, p = 0.024), MV > 4 days (OR: 26.79, p < 0.001), length in pediatric intensive care unit > 7 days (OR: 11.74, p < 0.001), and previous colonisation (OR: 4.18, p < 0.001). The RISVAP was calculated for each patient as the sum of all the independent risk factors. Three risk groups were obtained: low (0–5 points), intermediate (6–12 points), and high risk for VAP (13–16 points). The area under the curve for the final score was 0.905 (95%confidence interval: 0.888–0.923, p < 0.001).ConclusionsThe RISVAP is the first risk score for VAP in pediatric populations. Using this predictive score, might be helpful to detect vulnerable patients and therefore implement preventative strategies.
Quantitative proteomics approach reveals novel biomarkers and pathological mechanism of keloid
Authors: Liu Jian , Yang Chunhua , Zhang Huayu , Hu Wei , Bergquist Jonas , Wang Helen , Deng Tingzhi , Yang Xueling , Zhang Chao , Zhu Yanping , Chi Xiaodong , Mi Jia , Wang Yibing 
Published: April 2022

AbstractBackgroundKeloid is a pathological skin scar formation with complex and unclear molecular pathology mechanism. Novel biomarkers and associated mechanisms are needed to improve current therapies.ObjectivesTo identify novel biomarkers and underlying pathological mechanisms of keloids.MethodsSix pairs of keloid scar tissues and corresponding normal skin tissues were quantitatively analyzed by a high‐resolution label‐free mass spectrometry‐based proteomics approach. Differential protein expression data was further analyzed by a comprehensive bioinformatics approach to identify novel biomarkers and mechanistic pathways for keloid formation. Candidate biomarkers were validated experimentally.ResultsIn total, 1359 proteins were identified by proteomic analysis. Of these, 206 proteins exhibited a significant difference in expression between keloid scar and normal skin tissues. RCN3 and CALU were significantly upregulated in keloids. RCN1 and PDGFRL were uniquely expressed in keloids. Pathway analysis suggested that the XBP1‐mediated unfolded protein response (UPR) pathway was involved in keloid formation. Moreover, a PDGFRL centric gene coexpression network was constructed to illustrate its function in skin.Conclusions and Clinical RelevanceOur study proposed four novel biomarkers and highlighted the role of XBP1‐mediated UPR pathway in the pathology of keloids. It provided novel biological insights that contribute to develop novel therapeutic strategies for keloids.
Determinants of implementing reablement into research or practice: A concept mapping study
Authors: Ashe Maureen C. , Azim Farah Tabassum , Ariza‐Vega Patrocinio , Burns Jane , Clemson Lindy , Grover Sanya , Hoppmann Christiane A. , Langford Dolores , Fleig Lena , Burton Elissa 
Published: April 2022

AbstractPurposeReablement is a health and social model of care gaining international prominence. It is included in some publicly funded healthcare systems in Australia, Canada, United Kingdom, Norway, Sweden and other European countries. To advance reablement research and practice, we aimed to synthesize expert opinion on opportunities and challenges to delivering care with this model.MethodsWe invited authors of reablement publications and other experts from the field to take part in a three‐step online concept mapping exercise: (i) brainstorming statements based on a focus prompt; followed by (ii) sorting and (iii) rating statements. We invited 63 participants, of whom 19 participants generated 114 statements. Two authors reviewed each statement independently then met three times to determine one main idea/statement and removed unrelated or duplicate ideas. The research team used concept mapping software and online and email discussion to generate clusters or groups of determinants.ResultsThere were 58 statements for sorting and rating; 11 and 12 participants completed the sorting and rating steps, respectively. The five clusters were person and caregiver elements for participation; key reablement components for success; reablement content and delivery; organizational factors; and provider beliefs and training. Statements rated as both highly important and feasible to implement into practice were generally captured under the domains of goal setting and pursuit and person‐centred care.ConclusionThese results generate hypotheses for future research and practice in reablement for older adults.
Molecular classification of hormone‐sensitive and castration‐resistant prostate cancer, using nonnegative matrix factorization molecular subtyping of primary and metastatic specimens
Authors: Yuen Kobe C. , Tran Ben , Anton Angelyn , Hamidi Habib , Costello Anthony J. , Corcoran Niall M. , Lawrentschuk Nathan , Rainey Natalie , Semira Marie C. G. , Gibbs Peter , Mariathasan Sanjeev , Sandhu Shahneen , Kadel Edward E. 
Published: April 2022

AbstractBackgroundDespite the rapidly evolving therapeutic landscape, immunotherapy has demonstrated limited activity in prostate cancer. A greater understanding of the molecular landscape, particularly the expression of immune‐related pathways, will inform future immunotherapeutic strategies. Consensus nonnegative matrix factorization (cNMF) is a novel model of molecular classification analyzing gene expression data, focusing on biological interpretation of metagenes and selecting meaningful clusters.ObjectiveWe aimed to identify molecular subtypes of prostate cancer using cNMF and correlate these with existing biomarkers to inform future immunotherapeutic strategies.MethodsA cohort of archival tumor specimens from hormone‐sensitive and castration‐resistant disease was studied. Whole transcriptomic profiles were generated using TruSeq RNA Access technology and subjected to cNMF. Comprehensive genomic profiling was performed with the FoundationOne assay. NMF subtypes were characterized by gene expression pathways, genomic alterations and correlated with clinical data, then applied to The Cancer Genome Atlas data set.ResultsWe studied 164 specimens, including 52 castration‐resistant and 13 paired primary/metastatic specimens. cNMF identified four distinct subtypes. NMF1 (19%) is enriched for immune‐related and stromal‐related pathways with transforming growth factor β (TGFβ) signature. NMF2 (36%) is associated with FOXO‐mediated transcription signature and AKT signaling, NMF3 (26%) is enriched for ribosomal RNA processing, while NMF4 (19%) is enriched for cell cycle and DNA‐repair pathways. The most common gene alterations included TMPRSS22 (42%), TP53 (23%), and DNA‐repair genes (19%), occurring across all subtypes. NMF4 is significantly enriched for MYC and Wnt‐signaling gene alterations. TMB, CD8 density, and PD‐L1 expression were low overall. NMF1 and NMF4 were NMF2 was associated with superior overall survival.ConclusionsUsing cNMF, we identified four molecularly distinct subtypes which may inform treatment selection. NMF1 demonstrates the most inflammatory signature with asuppressive TGFβ signature, suggesting potential benefit with immunotherapy combination strategies targeting TGFβ and PD‐(L)1. Prospective studies are required to evaluate the use of this novel model to molecularly stratify patients for optimal treatment selection.
Sclareol ameliorates hyperglycemia‐induced renal injury through inhibiting the MAPK/NF‐κB signaling pathway
Authors: Han Xue , Zhang Jiajia , Zhou Li , Wei Jiajia , Tu Yu , Shi Qiaojuan , Zhang Yi , Ren Juan , Wang Yi , Ying Huazhong , Liang Guang 
Published: April 2022

AbstractDiabetic nephropathy (DN) represents the most serious complication of diabetes. Previous studies have shown that the activation of nuclear factor kappa B (NF‐κB) and mitogen‐activated protein kinase (MAPK) are linked to inflammation in the development of DN. Sclareol, a natural diterpene compound, has beneficial effects on inflammation. Thus, we hypothesized that sclareol might prevent DN via anti‐inflammatory actions. This study aimed to investigate the actions of sclareol in the progression of DN, and explored the related molecular mechanism. Sclareol treatment significantly alleviated renal dysfunction, fibrosis, and inflammatory cytokine levels in a dose‐dependent manner in diabetic mice. Moreover, sclareol inhibited the activations of MAPKs and NF‐κB in diabetic kidney tissues. The therapeutic effects of sclareol were confirmed under high levels of glucose in SV40 cells, and sclareol prevented high glucose‐induced fibrosis and inflammatory responses, which was largely driven by MAPKs and NF‐κB inhibitions. In particular, MAPKs inhibitors mixture could suppress the NF‐κB pathway and release of inflammatory cytokines that sclareol was involved in. In conclusion, sclareol has benefits for diabetes‐induced renal dysfunction, which was partially associated with amelioration of fibrosis and inflammation via mediation of the MAPK/NF‐κB signaling pathway. Sclareol may be a promising agent for preventing the progression of DN.
A unified inner‐/outer‐loop distributed design for task‐space robust cooperative tracking of uncertain networked manipulators under directed graphs
Authors: Feng Zhi , Hu Guoqiang 
Published: April 2022

AbstractThis paper investigates task‐space cooperative tracking of networked manipulators with an inner‐/outer‐loop closed control architecture, taking effects of uncertain kinematics, dynamics, disturbances, and unavailable task‐space velocities into account. In the existing related works, the developed distributed cooperative control algorithms require either an open control architecture with torque‐based controllers or the combination of inner/outer loop to be stable with the effects of unknown dynamics being neglected. In contrast, in this work we propose a novel distributed control framework such that a distributed outer‐loop adaptive scheme is developed to achieve task‐space robust cooperative tracking with dynamic effects being considered and without modifying the inner control loop. In particular, a distributed estimator is firstly developed to estimate the desired global task. With this estimated information, distributed cooperative algorithms are presented for two types of inner‐loop controllers to ensure task‐space coordinated tracking asymptotically. If the robot has an open control architecture, the torque‐based distributed controller is provided for task‐space cooperative tracking, which can cover existing related results as a special case. Finally, numerical simulations are provided to show the effectiveness of the proposed designs.
Epistemological messages in a modeling‐based elementary science classroom compared with a traditional classroom
Authors: Oh Phil Seok , Ha Heesoo , Yoo Yeon Joon 
Published: April 2022

AbstractThis study aimed to explore what kinds of epistemological messages were conveyed through teacher discourse in modeling‐based and traditional elementary science classrooms and how teachers framed the two classrooms distinctively through these messages. Data came from two sixth‐grade teachers' science classrooms—one characterized as a modeling‐based classroom and the other as a traditional classroom. Video recordings of science lessons in the two classrooms were analyzed as the main data source. Epistemological messages from within the teacher discourse in the two classrooms were identified, and different ways of the teachers' epistemological framing by these messages were inferred. As a result, we identified a constellation of epistemological messages corresponding to a variety of epistemological themes and categories communicated by the teacher in the modeling‐based classroom. This constellation indicated the teacher's framing of the modeling‐based classroom as supportive of students' construction of knowledge through engagement in the scientific practice of modeling. By contrast, in the traditional science classroom, epistemological messages served the teacher's framing of the classroom as a place for learning correct knowledge by recording and memorizing the information transferred via the teacher and the textbook. The findings suggest that epistemological messages can be used as a conceptual and instructional tool to analyze and shape epistemic aspects of science classrooms and that rational authority on scientific practices of modeling can be an important characteristic of a modeling‐based science classroom that sets it apart from a traditional classroom.
Hierarchical Core–Shell Co2N/CoP Embedded in N, P‐doped Carbon Nanotubes as Efficient Oxygen Reduction Reaction Catalysts for Zn‐air Batteries
Authors: Yao Chongchao , Li Jiaxin , Zhang Zhihao , Gou Chunli , Zhang Zhongshen , Pan Gang , Zhang Jing 
Published: April 2022

AbstractProjecting a cost‐effective and highly efficient electrocatalyst for the oxygen reaction reduction (ORR) counts a great deal for Zn‐air batteries. Herein, a hierarchical core–shell ORR catalyst (Co2N/CoP@PNCNTs) is developed by embedding cobalt phosphides and/or cobalt nitrides as the core into N, P‐doped carbon nanotubes (PNCNTs) as the shell via one‐step carbonization, nitridation, and phosphorization of pyrolyzing Co‐MOF precursor. The globally N, P‐doped structure of Co2N/CoP@PNCNTs demonstrates an outstanding electrocatalytic activity in the alkaline solution with the onset and half‐wave potentials of 1.07 and 0.85 V respectively. Moreover, a Zn‐air battery assembled from Co2N/CoP@PNCNTs as the air cathode delivers an open circuit potential of 1.49 V, a maximum power density of 151.1 mW cm−2 and a specific capacity of 823.8 mAh kg−1. It is reflected that Co2N/CoP@PNCNTs provides a long‐term durability with a slight decline of 15 h in the chronoamperometry measurement and an excellent charge–discharge stability with negligible voltage decay for 150 h at 10 mA cm−2 in Zn‐air batteries. The results reveal that Co2N/CoP@PNCNTs has superiority over most Co‐Nx‐C or CoxP@C catalysts reported so far. The excellent catalytic properties and stability of Co2N/CoP@PNCNTs derive from synergistic effects between Co2N/CoP and mesoporous N, P‐doped carbon nanotubes.
Calcium Based All‐Organic Dual‐Ion Batteries with Stable Low Temperature Operability
Authors: Jiang Biao , Su Yuezeng , Liu Ruili , Sun Zuobang , Wu Dongqing 
Published: April 2022

AbstractIn response to the application requirements of secondary batteries at low temperature, an all‐organic dual‐ion battery with calcium perchlorate contained acetonitrile as the electrolyte (CAN‐ODIB) is fabricated in this work. The electrochemical energy is stored in CAN‐ODIB via the association and disassociation of calcium and perchlorate ions in perylene diimide‐ethylene diamine/carbon black composite based anode and polytriphenylamine based cathode with highly reversible redox states. Benefiting from the energy storage mechanism, CAN‐ODIB exhibits excellent electrochemical performances in tests with the temperature ranging from 25 to −50 °C. Especially, CAN‐ODIB at −50 °C reserves ≈61% of the capacity at 25 °C (83.4 mA h g−1) with the current density of 0.2 A g−1. CAN‐ODIB also shows excellent cycling stability at low temperature by retaining 90.3% of the initial capacity at 1.0 A g−1 after 450 charge–discharge cycles at −30 °C. The impedance analysis of CAN‐ODIB at different temperatures indicates that the low temperature performance of CAN‐ODIB depends more on the electrode materials than the electrolyte, which provides the important guidance for the further design of secondary batteries operable at low temperatures.
Photosensitized Peroxidase Mimicry at the Hierarchical 0D/2D Heterojunction‐Like Quasi Metal‐Organic Framework Interface for Boosting Biocatalytic Disinfection
Authors: Huang Lunjie , Sun Da‐Wen , Pu Hongbin 
Published: April 2022

AbstractMetal‐organic frameworks (MOFs) are a versatile toolbox for the bioinspired design of nanozymes for antibacterial applications and beyond, however, designing a nanozyme by the hierarchical quasi‐MOF scheme remains largely unpracticed. This work exemplifies the preferential structure‐activity correlation of a bimetallic quasi‐MOF (Q‐MOFCe0.5) among three series of MOF‐derived peroxidase (POD) mimics. The biomimetic quasi‐MOFCe0.5 nanosheets accommodate both oxygen vacancy‐coupled multivalent redox cycles and photosensitive energy band layout, benefiting from the hierarchical heterojunction‐like 0D/2D interface featuring isolated nodes‐derived CeOCu sites upon the 2D decarboxylated MOF scaffold. These integrated unique merits enable the POD‐like Q‐MOFCe0.5 to generate sustained reactive oxygen species to effectively eradicate the surface‐adhered bacteria under visible light, resulting in significant inactivation of Escherichia coli (99.74 %) and Staphylococcus aureus (99.35%) in vitro, and potent disinfection of skin wounds in vivo in safe and on‐demand manners. It is hoped that this work can intensify the interventions of MOF nanozymes against the microbial world.