bluuebunny/crossref_metadata_2025_split huggingface dataset:
Screening for post‐intensive care syndrome: Validation of the Healthy Aging Brain Care Monitor Self‐Report Chinese version
Authors: Liang Shiyu , Wang Xin , Li Chenyang , Shao Lewen 
Published: July 2023

AbstractBackgroundThe Healthy Aging Brain Care Monitor Self‐Report (HABC‐M SR) is a tool to evaluate physical, mental and cognitive impairments. It has been validated in several countries for post‐intensive care syndrome (PICS) assessment, but there is no Chinese version yet.AimThe aim of this study is to translate and cross‐cultural adapt HABC‐M SR, and validate its psychological properties among Chinese ICU survivors.Study DesignThis is a cross‐sectional study. the HABC‐M SR was translated into Chinese and validated in intensive care unit survivors (n = 145). Measures of internal consistency, construct validity, concurrent validity, and content validity were evaluated.ResultsA 19‐item Chinese version of HABC‐M SR was yielded, with good reliability (Cronbach's α = 0.92) and validity (the variance was 64.4%, overall content validity was 0.91, and correlation coefficients were 0.62–0.90).ConclusionsThe 19‐item Chinese version HABC‐M SR is a reliable and valid tool for PICS assessing and may be regarded as a standard measurement.Relevance to Clinical PracticeThe Chinese version HABC‐M SR may help in selecting PICS high‐risk survivors for ICU follow‐up interventions. The HABC‐M SR can also be regarded as a standard specific PICS measurement, thus promote the comparability between studies and transformation of the clinical evidence.
The potential influence of critical pedagogy on nursing praxis: Tools for disrupting stigma and discrimination within the profession
Authors: Pitcher Claire F. , Browne Annette J. 
Published: July 2023

AbstractNursing work centers around attending to a person's health during many of life's most vulnerable moments, from birth to death. Given the high‐stakes nature of this work, it is essential for nurses to critically reflect on their individual and collective impact, which can range from healing to harmful. The purpose of this paper is to use a philosophical inquiry approach and a critical lens to explore the potential influence of critical pedagogy (how we learn what we learn) on nursing praxis (why we do what we do) with the aim of disrupting stigma and discrimination within the profession. This paper draws on the works of Paulo Freire, Henry Giroux, and bell hooks to alert readers to particular windows of opportunity where an intentional adoption of critical pedagogy in nursing praxis may help the profession think differently about two important and related topics: relational violence and peer‐led knowledge mobilization. As a practice‐based and theoretically grounded profession, nurses often strive to bridge the theoretical with the practical and the individual with the systemic. Thus, developing a robust and philosophically rooted disciplinary body of knowledge is particularly important to help us defensibly grapple with the notions of truth and ethics that shape our work's very essence and impact.
Efficacy and safety of ritlecitinib in adolescents with alopecia areata: Results from the ALLEGRO phase 2b/3 randomized, double‐blind, placebo‐controlled trial
Authors: Hordinsky Maria , Hebert Adelaide A. , Gooderham Melinda , Kwon Ohsang , Murashkin Nikolay , Fang Hong , Harada Kazutoshi , Law Ernest , Wajsbrot Dalia , Takiya Liza , Zwillich Samuel H. , Wolk Robert , Tran Helen 
Published: July 2023

AbstractBackground/ObjectivesThis subgroup analysis of the ALLEGRO phase 2b/3 trial (NCT03732807) evaluated the efficacy and safety of ritlecitinib, an oral, selective dual JAK3/TEC family kinase inhibitor, for the treatment of alopecia areata (AA) in patients aged 12–17 years.MethodsIn ALLEGRO‐2b/3, patients aged ≥12 years with AA and ≥50% scalp hair loss received once‐daily ritlecitinib 50 or 30 mg (±4‐week 200‐mg loading dose) or 10 mg or placebo for 24 weeks. In a subsequent 24‐week extension period, ritlecitinib groups continued their doses, and patients initially assigned to placebo switched to 200/50 or 50 mg daily. Clinician‐ and patient‐reported hair regrowth outcomes and safety were assessed.ResultsIn total, 105 adolescents were randomized. At Week 24, 17%–28% of adolescents achieved a Severity of Alopecia Tool (SALT) score ≤20 (≤20% scalp without hair) in the ritlecitinib 30 mg and higher treatment groups versus 0% for placebo. At Week 48, 25%–50% of patients had a SALT score ≤20 across ritlecitinib treatment groups (30 mg and higher). Adolescents reporting that their AA “moderately” or “greatly” improved were 45%–61% in the ritlecitinib groups (30 mg and higher) (vs. 10%–22% for placebo) at Week 24 and 44%–80% at Week 48. The most common adverse events in adolescents were headache, acne, and nasopharyngitis. No deaths, major adverse cardiovascular events, malignancies, pulmonary embolisms, opportunistic infections, or herpes zoster infections were reported.ConclusionRitlecitinib treatment demonstrated clinician‐reported efficacy, patient‐reported improvement, and an acceptable safety profile through Week 48 in adolescents with AA with ≥50% scalp hair loss.
Lung Re‐transplantation after prolonged veno‐venous extracorporeal membrane oxygenation (ECMO) in a child with chronic lung allograft dysfunction
Authors: Herrera‐Camino Andres , Sweet Stuart C. , Pendino Rebecca , Brill Chod Kirsten , Eghtesady Pirooz , Gazit Avihu Z. , Lin John C. 
Published: July 2023

AbstractBackgroundExtracorporeal Membrane Oxygenation (ECMO) may be used as a bridge to lung transplantation in selected patients with end‐stage respiratory failure. Historically, ECMO use in this setting has been associated with poor outcomes Puri V et.al, J Thorac Cardiovasc Surg, 140:427. More recently, technical advances and the implementation of rehabilitation and ambulation while awaiting transplantation on ECMO have led to improved surgical and post‐transplant outcomes Kirkby S et.al, J Thorac Dis, 6:1024.MethodsWe illustrate the case of a 6‐year‐old child who received prolonged ECMO support as a bridge to lung re‐transplantation secondary to Chronic Lung Allograft Dysfunction (CLAD).ResultsEarly rehabilitation was key in improving the overall pre‐transplant conditioning during ECMO.ConclusionsDespite challenges associated with awake/ambulatory ECMO, the use of this strategy as a bridge to lung transplantation is feasible and has resulted in improved pre‐transplant conditioning and post‐transplant outcomes.
Evolutionary game analysis for multi‐level collaborative governance under public crisis in China: From a value perception perspective
Authors: Chen Yingxin , Liu Xin , Tadikamalla Pandu R. , Qu Mingming , Wang Yiting 
Published: July 2023

AbstractIn a risk society, the survival and development of humans are facing threats of complex and severe public crisis events. Public participation in collaborative governance (CG) of public crisis events is increasingly recognized as an important direction for the reform of the current and future emergency management system. Previous studies of CG have mainly focused on the macro level and ignored to address micro‐level discussions of the behavioral strategy evolution of stakeholders. From a fresh value perception perspective, this study constructs an evolutionary game model to clarify the evolution mechanism of multi‐level emergency CG. First, the value perception model is built based on Prospect Theory and Mental Accounting to optimize the traditional game matrix. Second, the evolutionary stability is analyzed to solve the system evolution law. Finally, numerical simulation is conducted in the case of Heilongjiang province, a main region of food and energy supply in China. Results showed that (1) the CG game system has a complex evolutionary path; (2) the behavior of game players is affected by perceived incomes and perceived costs; (3) compared with the reference value and the risk aversion coefficient of income accounts, game players are more sensitive to that of cost accounts; (4) enhancing the perceived value of public psychological satisfaction and government reputation is helpful for the long‐term construction of CG. Overall, this study aims to highlight the potential utility of value perception in promoting effective implementations of CG and to provide new insights for the development of CG in China and other countries.
How does the reform of rules of origin affect firm performance in importing countries?
Authors: Hayakawa Kazunobu , Yamanouchi Kenta 
Published: July 2023

AbstractThis study empirically examines the economic impact of reforms on Japan's generalised system of preferences regarding firm performance. Specifically, we consider the relaxation of the rules of origin (RoOs) for knitted apparel in 2011 and 2015. We conducted a difference‐in‐differences analysis by defining the knitted apparel industry as the treatment group and the woven apparel industry as the control group. First, we demonstrate that Japan's total imports of knitted apparel products did not experience a greater change than those of woven apparel products. However, imports of knitted apparel products from the least developed countries (LDCs) have increased significantly. Second, on average, the two RoO reforms did not significantly change the sales value of knitted apparel producers. Third, we explore the heterogeneous effects across product price ranges because plants producing relatively low‐price products may be affected largely by the increase in the import values of inexpensive apparel products from LDCs. As a result, we find significant results for knitted apparel producers in the low‐price range. While the first relaxation, in 2011, reduced their production quantity and raised unit prices, the second relaxation, in 2015, reduced sales value by reducing production quantity.
Isometry groups of inductive limits of metric spectral triples and Gromov–Hausdorff convergence
Authors: Bassi Jacopo , Conti Roberto , Farsi Carla , Latrémolière Frédéric 
Published: July 2023

AbstractIn this paper, we study the groups of isometries and the set of bi‐Lipschitz automorphisms of spectral triples from a metric viewpoint, in the propinquity framework of Latrémolière. In particular, we prove that these groups and sets are compact in the automorphism group of the spectral triple ‐algebra with respect to the Monge–Kantorovich metric, which induces the topology of pointwise convergence. We then prove a necessary and sufficient condition for the convergence of the actions of various groups of isometries, in the sense of the covariant version of the Gromov–Hausdorff propinquity, a noncommutative analogue of the Gromov–Hausdorff distance, when working in the context of inductive limits of quantum compact metric spaces and metric spectral triples. We illustrate our work with examples including AF algebras and noncommutative solenoids.
Counting and boundary limit theorems for representations of Gromov‐hyperbolic groups
Authors: Cantrell Stephen , Sert Cagri 
Published: July 2023

AbstractGiven a Gromov‐hyperbolic group endowed with a finite symmetric generating set, we study the statistics of counting measures on the spheres of the associated Cayley graph under linear representations of . More generally, we obtain a weak law of large numbers for subadditive functions, echoing the classical Fekete lemma. For strongly irreducible and proximal representations, we prove a counting central limit theorem with a Berry–Esseen type error rate and exponential large deviation estimates. Moreover, in the same setting, we show convergence of interpolated normalized matrix norms along geodesic rays to Brownian motion and a functional law of iterated logarithm, paralleling the analogous results in the theory of random matrix products. Our counting large deviation estimates address a question of Kaimanovich–Kapovich–Schupp. In most cases, our counting limit theorems will be obtained from stronger almost sure limit laws for Patterson–Sullivan measures on the boundary of the group.
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Authors: Jin Hanxun , Zhang Enrui , Espinosa Horacio D. 
Published: July 2023

Abstract
For many decades, experimental solid mechanics has played a crucial role in characterizing and understanding the mechanical properties of natural and novel artificial materials. Recent advances in machine learning (ML) provide new opportunities for the field, including experimental design, data analysis, uncertainty quantification, and inverse problems. As the number of papers published in recent years in this emerging field is growing exponentially, it is timely to conduct a comprehensive and up-to-date review of recent ML applications in experimental solid mechanics. Here, we first provide an overview of common ML algorithms and terminologies that are pertinent to this review, with emphasis placed on physics-informed and physics-based ML methods. Then, we provide thorough coverage of recent ML applications in traditional and emerging areas of experimental mechanics, including fracture mechanics, biomechanics, nano- and micromechanics, architected materials, and two-dimensional materials. Finally, we highlight some current challenges of applying ML to multimodality and multifidelity experimental datasets, quantifying the uncertainty of ML predictions, and proposing several future research directions. This review aims to provide valuable insights into the use of ML methods and a variety of examples for researchers in solid mechanics to integrate into their experiments.
Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
Authors: Busi Susheel Bhanu , Lei Zhentian , Sumner Lloyd W. , Amos-Landgraf James M. 
Published: July 2023

Colon cancer onset is strongly associated with the differences in microbial taxa in the gastrointestinal tract. Although recent studies highlight the role of individual taxa, the effect of a complex gut microbiome (GM) on the metabolome and host transcriptome is still unknown. We used a multi-omics approach to determine how differences in the GM affect the susceptibility to adenoma development in a rat model of human colon cancer. Ultra-high performance liquid chromatography mass spectrometry of feces collected prior to observable disease onset identified putative metabolite profiles that likely predict future disease severity. Transcriptome analyses performed after disease onset from normal colonic epithelium and tumor tissues show a correlation between GM and host gene expression. Integrated pathway analyses of the metabolome and transcriptome based on putatively identified metabolic features indicate that bile acid biosynthesis is enriched in rats with high tumors along with increased fatty acid metabolism and mucin biosynthesis. Targeted pyrosequencing of the Pirc allele indicates that the GM alters the mechanism of adenoma development and may drive an epigenetic pathway of tumor suppressor silencing. This study reveals how untargeted metabolomics identifies signatures of susceptibility and integrated analyses uncover pathways of differential mechanisms of loss of tumor suppressor gene function and for potential prevention and therapeutic intervention.

IMPORTANCE
The association between the gut microbiome and colon cancer is significant but difficult to test in model systems. This study highlights the association of differences in the pathogen-free gut microbiome to changes in the host transcriptome and metabolome that correlate with colon adenoma initiation and development in a rat genetic model of early colon cancer. The utilization of a multi-omics approach integrating metabolomics and transcriptomics reveals differences in pathways including bile acid biosynthesis and fatty acid metabolism. The study also shows that differences in gut microbiomes significantly alter the mechanism of adenoma formation, shifting from genetic changes to epigenetic changes that initiate the early loss of tumor suppressor function. These findings enhance our understanding of the gut microbiome’s role in colon cancer susceptibility, offer insights into potential biomarkers and therapeutic targets, and may pave the way for future prevention and intervention strategies.
The World’s Largest Bauxite-Bearing Province, Fouta Djallon–Mandingo (West Africa). Part 4: a Zoning Mechanism in Laterite Bauxite-Bearing Weathering Crust
Authors: Makarova M. A. , Mamedov V. I. , Boeva N. M. , Shipilova E. S. , Vnuchkov D. A. , Bortnikov N. S. 
Published: July 2023

Abstract
The results of detailed exploration and year-round observations of the hydrogeological regime at large deposits, as well as special hydrochemical studies of various types of water and changes in the gas composition of the underground atmosphere in the lateritic weathering crust, of the very large bauxite-bearing province, Fouta Djallon–Mandingo, thanks to a reliable factual base, made it possible for the first time to draw a number of important conclusions about the conditions and features of zoning formation in the lateritic weathering profile. The weathering profile consists of two metasomatic columns spatially combined in plan, but vertically separated: an upper one, consisting of hydroxides and oxides of iron and aluminum, and a lower one, composed of clayey eluvium and products of hydration and decomposition of aluminosilicates—polymineral clays and kaolinite. In both columns, the processes of change begin with the same rainwater, but differ in the hydrodynamic parameters in each of the columns. Changes in the weathering profile occur in accordance with the main patterns of low-temperature infiltration metasomatism. The modern hydrogeological and gas regime in bauxite-bearing lateritic covers controls the mineralogical and geochemical zoning. Features of biological and soil processes and hydrodynamics and hydrochemistry in the weathering profile lead to a threshold nature of the change in physicochemical and biochemical conditions, providing the action of geochemical (oxidation, reduction, gley, adsorption) barriers, which is the main mechanism of zonal distribution of matter in lateritic weathering crusts.
The intention-behaviour gap in physical activity: a systematic review and meta-analysis of the action control framework
Authors: Feil Katharina , Fritsch Julian , Rhodes Ryan E 
Published: July 2023

ObjectiveIntention is the proximal antecedent of physical activity in many popular psychological models. Despite the utility of these models, the discrepancy between intention and actual behaviour, known as the intention-behaviour gap, is a central topic of current basic and applied research. The purpose of this meta-analysis was to quantify intention-behaviour profiles and the intention-behaviour gap.DesignSystematic review and meta-analysis.Data sourcesLiterature search was conducted in June 2022 and updated in February 2023 in five databases.Eligibility criteria for selecting studiesEligible studies included a measure of physical activity, an assessment of physical activity intention and the employment of the intention-behaviour relationship into profile quadrants. Only papers published in the English language and in peer-reviewed journals were considered. Screening was assisted by the artificial intelligence tool ASReview.ResultsTwenty-five independent samples were selected from 22 articles including a total of N=29 600. Random-effects meta-analysis revealed that 26.0% of all participants were non-intenders not exceeding their intentions, 4.2% were non-intenders who exceeded their intentions, 33.0% were unsuccessful intenders and 38.7% were successful intenders. Based on the proportion of unsuccessful intenders to all intenders, the overall intention-behaviour gap was 47.6%.ConclusionThe findings underscore that intention is a necessary, yet insufficient antecedent of physical activity for many. Successful translation of a positive intention into behaviour is nearly at chance. Incorporating mechanisms to overcome the intention-behaviour gap are recommended for clinical practice.
Efficient plasma metabolic fingerprinting as a novel tool for diagnosis and prognosis of gastric cancer: a large-scale, multicentre study
Authors: Xu Zhiyuan , Huang Yida , Hu Can , Du Lingbin , Du Yi-An , Zhang Yanqiang , Qin Jiangjiang , Liu Wanshan , Wang Ruimin , Yang Shouzhi , Wu Jiao , Cao Jing , Zhang Juxiang , Chen Gui-Ping , Lv Hang , Zhao Ping , He Weiyang , Wang Xiaoliang , Xu Min , Wang Pingfang , Hong Chuanshen , Yang Li-Tao , Xu Jingli , Chen Jiahui , Wei Qing , Zhang Ruolan , Yuan Li , Qian Kun , Cheng Xiangdong 
Published: July 2023

ObjectiveMetabolic biomarkers are expected to decode the phenotype of gastric cancer (GC) and lead to high-performance blood tests towards GC diagnosis and prognosis. We attempted to develop diagnostic and prognostic models for GC based on plasma metabolic information.DesignWe conducted a large-scale, multicentre study comprising 1944 participants from 7 centres in retrospective cohort and 264 participants in prospective cohort. Discovery and verification phases of diagnostic and prognostic models were conducted in retrospective cohort through machine learning and Cox regression of plasma metabolic fingerprints (PMFs) obtained by nanoparticle-enhanced laser desorption/ionisation-mass spectrometry (NPELDI-MS). Furthermore, the developed diagnostic model was validated in prospective cohort by both NPELDI-MS and ultra-performance liquid chromatography-MS (UPLC-MS).ResultsWe demonstrated the high throughput, desirable reproducibility and limited centre-specific effects of PMFs obtained through NPELDI-MS. In retrospective cohort, we achieved diagnostic performance with areas under curves (AUCs) of 0.862–0.988 in the discovery (n=1157 from 5 centres) and independent external verification dataset (n=787 from another 2 centres), through 5 different machine learning of PMFs, including neural network, ridge regression, lasso regression, support vector machine and random forest. Further, a metabolic panel consisting of 21 metabolites was constructed and identified for GC diagnosis with AUCs of 0.921–0.971 and 0.907–0.940 in the discovery and verification dataset, respectively. In the prospective study (n=264 from lead centre), both NPELDI-MS and UPLC-MS were applied to detect and validate the metabolic panel, and the diagnostic AUCs were 0.855–0.918 and 0.856–0.916, respectively. Moreover, we constructed a prognosis scoring system for GC in retrospective cohort, which can effectively predict the survival of GC patients.ConclusionWe developed and validated diagnostic and prognostic models for GC, which also contribute to advanced metabolic analysis towards diseases, including but not limited to GC.