bluuebunny/crossref_metadata_2025 huggingface dataset:
The BIDIAP index: a clinical, analytical and ultrasonographic score for the diagnosis of acute appendicitis in children
Authors: Arredondo Montero Javier , Bardají Pascual Carlos , Antona Giuseppa , Ros Briones Raquel , López-Andrés Natalia , Martín-Calvo Nerea
Published: April 2023

Background

Pediatric acute appendicitis (PAA) continues to be a diagnostic challenge today. The diagnostic performance of classical indices is only moderate, especially in pediatric population. This study aimed to define a clinical, radiological and analytical index for the diagnosis of PAA.

Materials and methods

This prospective study included 151 patients divided into two groups: (1) 53 patients with non-surgical abdominal pain (NSAP) and (2) 98 patients with a confirmed PAA. Sociodemographic and clinical characteristics were compared between groups using the Mann–Whitney U test and the Fisher exact test. To identify the predictors of PAA, we performed a multivariable logistic regression using a forward stepwise analysis and we assigned multiples of integer values to the selected variables. The diagnostic performance of the index was assessed by calculating the area under the receiver operating characteristic curve. Intra-cohort calibration was assessed with the Hosmer–Lemeshow test.

Results

We developed the BIDIAP index (BIomarkers for the DIagnosis of Appendicitis in Pediatrics), which included three variables that independently predicted higher odds of PAA: appendiceal caliber (≥ 6.9 mm), systemic immune-inflammation index (≥ 890) and peritoneal irritation, which scored 4, 3 and 2 points, respectively. Mean (SD) score of the participants was 2.38 (2.06) in group 1 and 7.89 (1.50) in group 2. The area under the ROC was 0.97 (95% CI 0.95–0.99). The cut-off point was established at 4 points, resulting in a sensitivity of 98.98% and a specificity of 77.78%.

Conclusions

The BIDIAP index has an exceptional diagnostic performance in PAA. The importance of these results lies in its novelty and in the simplicity of the index. Although external validation will be necessary, initial results look promising.
Fundus autofluorescence abnormalities can predict fluorescein angiography abnormalities in patients with chronic central serous chorioretinopathy
Authors: Mohabati Danial , Boon Camiel J. F. , Hoyng Carel B. , Purtskhvanidze Konstantine , Roider Johann , van Dijk Elon H. C.
Published: April 2023

Purpose

This study is to assess the possible correlation between findings on fundus autofluorescence (FAF) and fluorescein angiography (FA) in patients with chronic central serous chorioretinopathy (cCSC).

Methods

This multicentre retrospective cohort study included 71 cCSC patients (92 eyes) with at least 6 months of follow-up, who had a FAF-FA imaging discrepancy larger than 0.5 optic disc diameters in size in the corresponding areas of hyperfluorescent abnormalities. A comparison was performed between progression in size of areas of hyperautofluorescent retinal pigment epithelium (RPE) abnormalities on FAF (HF-FAF) and the hyperfluorescent areas on FA (HF-FA) at first visit and last visit. The possible correlations were estimated between FAF-FA discrepancy and disease characteristics.

Results

The median area of HF-FAF at first visit was 7.48 mm2 (1.41–27.9). The median area of HF-FA at first visit and last visit was 2.40 mm2 (0.02–17.27) and 5.22 mm2 (0.53–25.62), respectively. FAF-FA discrepancy was associated with follow-up duration and the area of HF-FAF at first visit. A mathematical algorithm for grading FAF-FA discrepancy in time was suggested, which predicted the enlargement of hyperfluorescent RPE abnormalities on FA in 82.6% of cases.

Conclusion

There is a statistically significant relationship between the areas of HF-FAF and HF-FA in cCSC patients with FAF-FA imaging discrepancy at first presentation. Long-term changes in RPE alterations in cCSC on FA can be predicted based on baseline HF-FAF and follow-up duration.
Programa de diabetes: improving diabetes care for undocumented immigrants using the Chronic Care Model at a free community clinic
Authors: Leining Mairi Gael , Zhou Xiaobin , Yenokyan Gayane , Sturm Shaunicy , Meyer Jennifer , Diaz Yomira , Sorenson MaeLin , Chartrand Nina
Published: April 2023

Aims

This study examined whether the Chronic Care Model can be successfully applied to improve health outcome measures for uninsured, undocumented immigrants with diabetes at a free, non-federally funded community clinic.

Methods

Data were collected from 128 uninsured, undocumented immigrants enrolled in Programa de diabetes, a comprehensive diabetes program at People’s Health Clinic based on the six core elements of the Chronic Care Model. All study participants self-identified by the Hispanic ethnicity. A longitudinal study design was used to compare baseline diabetic health measures with outcome data after patient program participation over a 12-month enrollment period. Linear mixed effect model was used to determine the patient specific change in HbA1C across time, controlling for gender, age, food insecurity, income level, diabetes type, and literacy. In addition, McNemar tests were conducted to compare the coverage of eye exams and statin use before and after program enrollment.

Results

After program enrollment, individual specific change in HbA1C was expected to be − 0.201 [95% CI 0.244, − 0.158] % per month after controlling for baseline covariates. There were statistically significant improvements in both eye exam coverage (p < 0.01) and statin use (p < 0.01).

Conclusions

The Chronic Care Model can be successfully applied to improve health outcome measures at a free, non-federally funded community clinic among uninsured, undocumented immigrants, who identify by the Hispanic ethnicity and have the diagnosis of diabetes. Barriers to care including food insecurity, federal poverty level and illiteracy do not preclude glycemic control.
Iruplinalkib (WX‑0593), a novel ALK/ROS1 inhibitor, overcomes crizotinib resistance in preclinical models for non-small cell lung cancer
Authors: Yang Yingying , Zheng Qingmei , Wang Xinmei , Zhao Shuyong , Huang Wenshu , Jia Linchao , Ma Cuicui , Liu Shicong , Zhang Yongpeng , Xin Qianqian , Sun Yan , Zheng Shansong
Published: April 2023

Despite remarkable initial responses of anaplastic lymphoma kinase (ALK) inhibitors inALK-positive non-small cell lung cancer (NSCLC) patients, cancers eventually develop resistance within one to two years. This study aimed to compare the properties of iruplinalkib (WX‑0593) with other ALK inhibitors and report the comprehensive characterization of iruplinalkib against the crizotinib resistance. The inhibitory effect of iruplinalkib on kinase activity was detected. A kinase screen was performed to evaluate the selectivity of iruplinalkib. The effect of iruplinalkib on related signal transduction pathways of ALK and c-ros oncogene 1 (ROS1) kinases was examined. The cellular and in vivo activities of ALK inhibitors were compared in engineered cancer-derived cell lines and in mice xenograft models, respectively. Human hepatocytes derived from three donors were used for evaluating hepatic enzyme inducing activity. HEK293 cell lines expressing transportors were used to invesigated the drug interaction potential mediated by several transporters. The results showed iruplinalkib potently inhibited the tyrosine autophosphorylation of wild-type ALK, ALKL1196M, ALKC1156Yand epidermal growth factor receptor (EGFR)L858R/T790M. The inhibitory effects of iruplinalkib in patient-derived xenograft and cell line-derived xenograft models were observed. Moreover, iruplinalkib showed robust antitumor effects in BALB/c nude mice xenograft models with ALK-/ROS1-positive tumors implanted subcutaneously, and the tumor suppressive effects in crizotinib-resistant model was significantly better than that of brigatinib. Iruplinalkib did not induce CYP1A2, CYP2B6 and CYP3A4 at therapeutic concentration, and was also a strong inhibitor of MATE1 and MATE2K transporters, as well as P-gp and BCRP. In conclusion, iruplinalkib, a highly active and selective ALK/ROS1 inhibitor, exhibited strong antitumor effects in vitro and in crizotinib-resistant models.
Classroom transmission processes between teacher support, interest value and negative affect: An investigation guided by situated expectancy-value theory and control-value theory
Authors: Rubach Charlott , Dicke Anna-Lena , Safavian Nayssan , Eccles Jacquelynne S.
Published: April 2023

Are motivated students less likely to express negative achievement emotions in math, and how do teachers impact such academic beliefs? Guided by the situated expectancy-value theory and the control-value theory, this study is interested in how teacher support influences students’ negative affect in math through students’ perception of teacher support and students’ interest value (teacher-to-student transmission between and within classes). Thus, associations were modeled at the individual and classroom levels to investigate cross-level interactions. Using data from 1,429 students in grades 7–12 (49% males, 67% Hispanic Americans, 15% Asian Americans, 18% other racial/ethnic groups), cross-level indirect effects suggested an association of teacher-reported support for collaboration and cognitive support with decreasing negative affect through students’ perception of teacher support and students’ interest value. These associations were supported within but not between classes.
Seasonal groundwater salinity dynamics in the mangrove supratidal zones based on shallow groundwater salinity and electrical resistivity imaging data
Authors: Prihantono Joko , Nakamura Takashi , Nadaoka Kazuo , Solihuddin Tubagus , Pryambodo Dino Gunawan , Ramdhan Muhammad , Adi Novi Susetyo , Ilham  , Wirasatriya Anindya , Widada Sugeng
Published: April 2023

Soil salinity plays an essential role in the growth of mangroves. Mangroves usually grow in intertidal zones. However, in Karimunjawa National Park (KNP), Indonesia, mangroves are also found in supratidal zones. Thus, this study aims to determine why mangroves can grow in this supratidal zone, even during the dry season. We analyze seasonal changes in groundwater flow and salinity dynamics using the hydraulic head, shallow groundwater salinity, and electrical resistivity imaging (ERI) data. The result shows that variation in groundwater salinity is caused by seawater intrusion, which is generated by a hydraulic gradient due to the sea level being higher than the water table in KNP. Rainfall and evapotranspiration, which change seasonally, likely affect the water table fluctuation and salt concentration. ERI images indicate this seawater intrusion in the top sediment up to the bedrock boundary. However, the resistivity difference in the wet and dry seasons shows that remarkable resistivity change occurs at the deeper layer (50–60 m below ground level (BGL)), likely due to freshwater recharge from rainwater on the land side. Groundwater in the KNP is shallow and saline; thus, mangroves in this zone, e.g., Ceriops tagal and Lumnitzera racemosa, can grow because their roots can reach this groundwater. These mangrove species can still grow in this zone even though the shallow groundwater is very saline (46–50 ppt). However, this condition might cause these mangroves to grow stunted. Thus, freshwater availability is crucial for mangrove growth in this supratidal zone to dilute this high groundwater salinity.
The Principle of Autonomy’s Enduring Validity
Authors: Newhouse Marie
Published: April 2023

Pauline Kleingeld has argued persuasively that Kant’s Principle of Autonomy draws an analogy between two relationships: 1) that between an individual agent and their maxim, and 2) that between a legislator and their legislation. She also suggests that Kant’s evolving views on the normative significance of popular elections made his analogy inapt, which explains its disappearance from his later writings. This comment concurs with Sorin Baiasu that the merits of Kant’s analogy were untouched by his evolving political views. The analogy presupposes that when lawmakers legislate, they do so as representatives of the people, but even Kant’s mature writings posit that unelected lawmakers are representatives of the people in the necessary sense. Facts about whether a lawmaker acquired legislative authority by election, heredity, or conquest do have normative implications in the larger context of Kant’s political theory, but such facts are necessarily temporally upstream of the relation between legislator and legislation, just as facts about how an agent became rational are upstream of the relation between individual agent and maxim. Because the analogy focuses exclusively on these two relationships, it cannot be damaged by such upstream facts. Moreover, we should consider the possibility that Kant’s Principle of Autonomy compares a human will to the united general will of the people itself rather than to the will of a fallible public official or institution. On this alternative reading, it is even more clear that Kant’s evolving views on the significance of elections could have no possible relevance to the Principle of Autonomy.
Integrated contra-directionally coupled chirped Bragg grating waveguide with a linear group delay spectrum
Authors: Gao Xudong , Xu Zhenzhu , Zhu Yupeng , Yang Chengkun , Han Shoubao , Duan Zongming , Zhang Fan , Dong Jianji
Published: April 2023

Due to the advantages of low propagation loss, wide operation bandwidth, continuous delay tuning, fast tuning speed, and compact footprints, chirped Bragg grating waveguide has great application potential in wideband phased array beamforming systems. However, the disadvantage of large group delay error hinders their practical applications. The nonlinear group delay spectrum is one of the main factors causing large group delay errors. To solve this problem, waveguides with nonlinear gradient widths are adopted in this study to compensate for the nonlinear effect of the grating apodization on the mode effective index. As a result, a linear group delay spectrum is obtained in the experiment, and the group delay error is halved.

Graphical Abstract
Egyptian blue, Chinese blue, and related two-dimensional silicates: from antiquity to future technologies. Part A: general properties and historical uses
Authors: Nicola Marco , Gobetto Roberto , Masic Admir
Published: April 2023

The ancient Egyptian blue pigment was developed over 5000 years ago and was used extensively for around four millennia until its use mysteriously declined dramatically during the Early Middle Ages. It recently attracted a lot of attention along with some related materials, leading to a fast-growing number of applications in fields, such as sensors, solar concentrators, energy-saving, and medicine. The new surge in interest began in 1996 with the discovery of their intense NIR photoluminescence that surprisingly can be triggered even by visible light. In 2013, the possibility of exfoliating them and producing NIR luminescent nanosheets was established, expanding the family of 2D nanomaterials. More recently, the discovery of their high antibacterial effects and biocompatibility, and very promising optical, electric and magnetic properties, has further boosted their applications. The characteristics of Egyptian blue are due to its main component: the very stable crystalline compound CaCuSi4O10. This tetragonal sheet silicate is the synthetic analogous of the rare cuprorivaite mineral. In Part A of this review, we summarize the historical uses and main properties (i.e., composition, structure, color, stability, luminescence, and biological activity) of cuprorivaite and related 2D silicates, i.e., BaCuSi4O10(the main constituent of the ancient pigment Chinese Blue), BaCuSi2O6(the main constituent of the ancient pigment Chinese Purple), SrCuSi4O10(synthetic analogous of wesselsite) and BaFeSi4O10(synthetic analogous of gillespite). The Part B of the review will focus on the modern rediscovery of these materials, their modern synthesis and exfoliation, and the innovative applications based on their properties.
A new iterative method for approximating common fixed points of two non-self mappings in a CAT(0) space
Authors: Tufa Abebe Regassa
Published: April 2023

In this paper, we introduce a new iterative process for approximating common fixed points of two non-self mappings in the setting of CAT(0) spaces. Then we establish $$\Delta $$
Δ
-convergence and strong convergence results for two nonexpansive non-self mappings under appropriate conditions. Moreover, we establish strong convergence theorems for approximating common fixed points of two Lipschitz quasi-nonexpansive non-self mappings under some additional conditions. Our results improve, complement and unify most of the results in the literature.
Designing Game-Based Learning for High School Artificial Intelligence Education
Authors: Leitner Maxyn , Greenwald Eric , Wang Ning , Montgomery Ryan , Merchant Chirag
Published: April 2023

Artificial Intelligence (AI) permeates every aspect of our daily lives and is no longer a subject reserved for a select few in higher education but is essential knowledge that our youth need for the future. Much is unknown about the level of AI knowledge that is age and developmentally appropriate for high school, let alone about how to teach AI to even younger learners. In this theoretical paper, we discuss the design of a game-based learning environment for high school AI education, drawing upon insights gained from a prior cognitive interview study at a STEM focused private high school. We argue that game-based learning is an excellent fit for AI education due to the commonality of problem solving in both game playing and AI.
The Sleep Revolution Platform: a Dynamic Data Source Pipeline and Digital Platform Architecture for Complex Sleep Data
Authors: Sveinbjarnarson Bjarki Freyr , Schmitz Lisa , Arnardottir Erna Sif , Islind Anna Sigridur
Published: April 2023

Purpose of Review

The complexity of the data collected for sleep research is increasing, and the focal point of sleep research is dependent on a higher number of data sources. Data collected for sleep studies often includes both subjective and objective measurements of sleep quality and is gathered over a more extended period, e.g., for weeks, months, or even years. However, this variety and volume of data make it challenging and time-consuming for researchers to utilize. Therefore, sophisticated data structures are necessary to utilize data in sleep research.

Recent Findings

This paper explores how heterogeneous data sources can be represented in a homogeneous database design. The following research questions drove our work: (i) How can we represent sleep data from heterogeneous sources in a homogenous digital platform database? and (ii) How can a data source pipeline transform various data sources into a homogeneous data format?

This paper’s main contributions are conceptualizing the design and development of a homogeneous database and digital platform architecture and a data source pipeline that fits well for sleep research in particular and healthcare research in general.
Spatiotemporal key region transformer for visual tracking
Authors: Wu Ruixu , Wen Xianbin , Yuan Liming , Xu Haixia
Published: April 2023

Visual tracking is an important field of computer vision research. Although transformer-based trackers have achieved remarkable performance, the transformer structure is globally computationally inefficient, it does not screen important patches, and it cannot focus on key target regions. At the same time, temporal motion features are easily overlooked. To solve these problems, this paper proposes a new method, SKRT, that removes the CNN structure and directly uses a transformer as the backbone network to extract multiframe video features. Then, these feature maps are mixed and superimposed to obtain spatiotemporal information. To focus on important parts efficiently, we use key region extraction to obtain a small set of template and search feature map patches and reinput them into the transformer as a cross-correlation computation. Finally, we predict the position of a tracking object through center-corner prediction. To demonstrate the effectiveness of our method, we conduct experiments on challenging benchmark datasets (GOT-10K, TrackingNet, VOT2018, OTB100, LaSOT), and the results show that SKRT is competitive with other state-of-the-art methods.
Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models
Authors: Huang Faming , Xiong Haowen , Chen Shixuan , Lv Zhitao , Huang Jinsong , Chang Zhilu , Catani Filippo
Published: April 2023

The numerical simulation and slope stability prediction are the focus of slope disaster research. Recently, machine learning models are commonly used in the slope stability prediction. However, these machine learning models have some problems, such as poor nonlinear performance, local optimum and incomplete factors feature extraction. These issues can affect the accuracy of slope stability prediction. Therefore, a deep learning algorithm called Long short-term memory (LSTM) has been innovatively proposed to predict slope stability. Taking the Ganzhou City in China as the study area, the landslide inventory and their characteristics of geotechnical parameters, slope height and slope angle are analyzed. Based on these characteristics, typical soil slopes are constructed using the Geo-Studio software. Five control factors affecting slope stability, including slope height, slope angle, internal friction angle, cohesion and volumetric weight, are selected to form different slope and construct model input variables. Then, the limit equilibrium method is used to calculate the stability coefficients of these typical soil slopes under different control factors. Each slope stability coefficient and its corresponding control factors is a slope sample. As a result, a total of 2160 training samples and 450 testing samples are constructed. These sample sets are imported into LSTM for modelling and compared with the support vector machine (SVM), random forest (RF) and convolutional neural network (CNN). The results show that the LSTM overcomes the problem that the commonly used machine learning models have difficulty extracting global features. Furthermore, LSTM has a better prediction performance for slope stability compared to SVM, RF and CNN models.
Rational Design of Electrode–Electrolyte Interphase and Electrolytes for Rechargeable Proton Batteries
Authors: Su Zhen , Guo Haocheng , Zhao Chuan
Published: April 2023

Rechargeable proton batteries have been regarded as a promising technology for next-generation energy storage devices, due to the smallest size, lightest weight, ultrafast diffusion kinetics and negligible cost of proton as charge carriers. Nevertheless, a proton battery possessing both high energy and power density is yet achieved. In addition, poor cycling stability is another major challenge making the lifespan of proton batteries unsatisfactory. These issues have motivated extensive research into electrode materials. Nonetheless, the design of electrode–electrolyte interphase and electrolytes is underdeveloped for solving the challenges. In this review, we summarize the development of interphase and electrolytes for proton batteries and elaborate on their importance in enhancing the energy density, power density and battery lifespan. The fundamental understanding of interphase is reviewed with respect to the desolvation process, interfacial reaction kinetics, solvent-electrode interactions, and analysis techniques. We categorize the currently used electrolytes according to their physicochemical properties and analyze their electrochemical potential window, solvent (e.g., water) activities, ionic conductivity, thermal stability, and safety. Finally, we offer our views on the challenges and opportunities toward the future research for both interphase and electrolytes for achieving high-performance proton batteries for energy storage.
Intrinsic Self-Healing Chemistry for Next-Generation Flexible Energy Storage Devices
Authors: Wan Xin , Mu Tiansheng , Yin Geping
Published: April 2023

The booming wearable/portable electronic devices industry has stimulated the progress of supporting flexible energy storage devices. Excellent performance of flexible devices not only requires the component units of each device to maintain the original performance under external forces, but also demands the overall device to be flexible in response to external fields. However, flexible energy storage devices inevitably occur mechanical damages (extrusion, impact, vibration)/electrical damages (overcharge, over-discharge, external short circuit) during long-term complex deformation conditions, causing serious performance degradation and safety risks. Inspired by the healing phenomenon of nature, endowing energy storage devices with self-healing capability has become a promising strategy to effectively improve the durability and functionality of devices. Herein, this review systematically summarizes the latest progress in intrinsic self-healing chemistry for energy storage devices. Firstly, the main intrinsic self-healing mechanism is introduced. Then, the research situation of electrodes, electrolytes, artificial interface layers and integrated devices based on intrinsic self-healing and advanced characterization technology is reviewed. Finally, the current challenges and perspective are provided. We believe this critical review will contribute to the development of intrinsic self-healing chemistry in the flexible energy storage field.
Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain
Authors: Savin Ivan , Novitskaya Maria
Published: April 2023

The phenomenon of fast-growing companies exhibiting sustained growth and creating disproportionally many new jobs, so-called “gazelles”, has been widely analyzed in the literature. The criteria defining “gazelles”, however, lack a consensus, while it cannot be ruled out that superior performance of these companies is just good luck. We use large firm-level datasets for Russia and Spain and conduct a Monte Carlo experiment with first-order Markov chains to derive a definition of “gazelle” companies and ensure that their existence cannot be explained by chance only. Our results demonstrate that the definitions of “gazelle” companies differ between the two countries warning against using same definition for different countries. We find that the “gazelles” account for about 1–2% of the companies in our datasets and are responsible for approximately 14% of employment growth in Russia and 9% in Spain. These companies are concentrated in economic sectors like retail trade, real estate and construction.
An Essay about a Philosophical Attitude in Management and Organization Studies Based on Parrhesia
Authors: Rodriguez-Pomeda Jesus
Published: April 2023

Management and organization studies (MOS) scholarship is at a crossroads. The grand challenges (such as the climate emergency) humankind must face today require an improved contribution from all knowledge fields. The number of academics who criticize the lack of influence and social impact of MOS has recently grown. The scientific field structure of MOS is based on its members’ accumulation of symbolic capital. This structure hinders speaking truth to the elite dominating neoliberal society. Our literature review suggested that a deeper interaction between MOS and philosophy could aid in improving the social impact of MOS. Specifically, an attitude by MOS scholars based on parrhesia (παρρησíα, to speak truth to power) could revitalize the field through heterodox approaches and, consequently, allow them to utter sound criticisms of the capitalist system. Parrhesia would lead MOS scholars towards a convergence of ethics and politics. We investigate whether daring to speak inconvenient truths to the powerful (some peers in the field and some individuals and corporations in society) can be a straightforward tool for revitalizing MOS. Boosting a candid philosophy-MOS interaction requires the fulfilment of three objectives: practical dialogue between these fields, reconsideration of the fields’ structures based on symbolic capital, and a post-disciplinary approach to philosophy. That fulfilment implies the delimitation of the MOS-philosophy interaction, a respectful mutual framework, mutual curiosity, and moving from prescriptive theoretical reflection towards more socially useful MOS. Ethical betterment through parrhesia could be the key to surpassing MOS stagnation.
Defining and Measuring Resilience in Children with a Chronic Disease: a Scoping Review
Authors: van der Laan Sabine E. I. , Berkelbach van der Sprenkel Emma E. , Lenters Virissa C. , Finkenauer Catrin , van der Ent Cornelis K. , Nijhof Sanne L.
Published: April 2023

More than 25% of all children grow up with a chronic disease. They are at higher risk for developmental and psychosocial problems. However, children who function resiliently manage to adapt positively to these challenges. We aim to systematically review how resilience is defined and measured in children with a chronic disease. A search of PubMed, Cochrane, Embase, and PsycINFO was performed on December 9, 2022, using resilience, disease, and child/adolescent as search terms. Two reviewers independently screened articles for inclusion according to predefined criteria. Extraction domains included study characteristics, definition, and instruments assessing resilience outcomes, and resilience factors. Fifty-five out of 8766 articles were identified as relevant. In general, resilience was characterized as positive adaptation to adversity. The included studies assessed resilience by the outcomes of positive adaptation, or by resilience factors, or both. We categorized the assessed resilience outcomes into three groups: personal traits, psychosocial functioning, and disease-related outcomes. Moreover, myriad of resilience factors were measured, which were grouped into internal resilience factors (cognitive, social, and emotional competence factors), disease-related factors, and external factors (caregiver factors, social factors, and contextual factors). Our scoping review provides insight into the definitions and instruments used to measure resilience in children with a chronic disease. More knowledge is needed on which resilience factors are related to positive adaptation in specific illness-related challenges, which underlying mechanisms are responsible for this positive adaptation, and how these underlying mechanisms interact with one another.
Mangrove Trees Outperform Saltmarsh Grasses in Building Elevation but Collapse Rapidly Under High Rates of Sea‐Level Rise
Authors: Morris James T. , Langley J. Adam , Vervaeke William C. , Dix Nicole , Feller Ilka C. , Marcum Pam , Chapman Samantha K.
Published: April 2023

Mangrove trees are invading saltmarshes at subtropical ecotones globally, but the consequences of this vegetation shift for ecosystem sustainability remain unknown. Using the Coastal Wetland Equilibrium Model (CWEM) to simulate vegetation survival and sediment accretion, we predict that black mangroves, Avicennia germinans, can build soil elevation by 8 mm yr−1, four times greater than saltmarshes at the same site, a finding that is broadly consistent with field measurements of elevation change. Mangroves build elevation more rapidly than saltmarshes by producing much greater live and labile belowground biomass, but when mangroves drown, they abruptly lose elevation due to the large volume of quickly decomposing necromass following flood‐induced mortality. Under certain conditions, young mangroves can accumulate root mass faster than mature trees and, therefore, gain elevation more rapidly, but neither saltmarshes nor mangroves of any age survived a centenary sea‐level increase of 100 cm. The acceleration of sea‐level rise that coastal marshes are encountering raises the question of how coastal wetlands should be optimally managed and these results provide managers with predictive information on wetland building capacity of mangroves versus marshes.
Global Mean Sea Level Rise Inferred From Ocean Salinity and Temperature Changes
Authors: Bagnell Aaron , DeVries Tim
Published: April 2023

Barystatic sea level rise (SLR) caused by the addition of freshwater to the ocean from melting ice can in principle be recorded by a reduction in seawater salinity, but detection of this signal has been hindered by sparse data coverage and the small trends compared to natural variability. Here, we develop an autoregressive machine learning method to estimate salinity changes in the global ocean from 2001 to 2019 that reduces uncertainties in ocean freshening trends by a factor of four compared to previous estimates. We find that the ocean mass rose by 13,000 ± 3,000 Gt from 2001 to 2019, implying a barystatic SLR of 2.0 ± 0.5 mm/yr. Combined with SLR of 1.3 ± 0.1 mm/yr due to ocean thermal expansion, these results suggest that global mean sea level rose by 3.4 ± 0.6 mm/yr from 2001 to 2019. These results provide an important validation of remote‐sensing measurements of ocean mass changes, global SLR, and global ice budgets.
The Role of Tropical Atlantic in ENSO Predictability Barrier
Authors: Zhao Yingying , Jin Yishuai , Capotondi Antonietta , Li Jianping , Sun Daoxun
Published: April 2023

This paper investigates the impacts of tropical Atlantic on El Niño‐Southern Oscillation (ENSO) predictability through an empirical dynamical model‐ Linear Inverse Model (LIM). By selectively including or excluding the coupling between tropical Atlantic and tropical Pacific in LIM, we find that the tropical Atlantic dynamics significantly improve the Eastern Pacific (EP)‐ENSO prediction and weaken the EP‐ENSO predictability barrier (PB), with the Equatorial Atlantic (EA) mode playing a more important role than the Tropical North Atlantic (TNA) mode. The tropical Atlantic impacts on Central Pacific (CP)‐ENSO predictability and PB are relatively smaller. Consistent with observations, the tropical Atlantic can weaken PB in most CMIP6 models. The evolution of the tropical Atlantic optimum initial structures confirms the important influence of the EA mode on the eastern tropical Pacific. Therefore, the tropical Atlantic dynamics, especially the EA mode, should be appropriately considered to improve the prediction of EP‐ENSO and weaken the EP‐ENSO PB.
Mixing and Geometry in the North Atlantic Meridional Overturning Circulation
Authors: Bruera Renzo , Curbelo Jezabel , García‐Sánchez Guillermo , Mancho Ana M.
Published: April 2023

Vertical motions across the ocean are central to processes, like CO2 fixation, heat removal or pollutant transport, which are essential to the Earth's climate. This work explores 3D conveyor routes associated with the Atlantic Meridional Overturning Circulation (AMOC). Our findings show the geometry of mixing structures in the upper and deep ocean layers by means of Lagrangian Coherent Structures. This tool identifies among others, zones linked to vertical transport and characterizes vertical transport time scales. We focus the study in two regions. The first one is the Flemish Cap region, a zone of interaction between the major AMOC components, where our analysis identifies a domain of deep waters that ascend very rapidly to the ocean surface. The second one is the Irminger Sea, where our analysis confirms the existence of a downwelling zone, and reveals a previously unreported upwelling connection between very deep waters and the ocean surface.
Crosshole Ground‐Penetrating Radar in Clay‐Rich Quaternary Deposits: Toward Characterization of High‐Loss Media
Authors: Svendsen E. B. , Nielsen L. , Nilsson B. , Kjær K. H. , Looms M. C.
Published: April 2023

Knowing the centimeter‐to meter‐scale distribution of sand in clayey deposits is important for determining the dominating water flow pathways. Borehole information has a high vertical resolution, on the millimeter‐ to centimeter‐scale, but provides poor lateral coverage. For highly heterogeneous deposits, such as glacial diamicts, this detailed borehole information may not be sufficient for creating reliable geological models. Crosshole ground‐penetrating radar (GPR) can provide information on the decimeter‐ to meter‐scale variation between boreholes, but has mainly been used in sandy environments. In this study, we investigate whether crosshole GPR can provide information on the structural relationship of diamicts and their material properties, such as water content, bulk density, and clay content. To achieve ground truth, we compare the crosshole GPR data with geological information from boreholes and an excavation at the field site. The GPR data was analyzed comprehensively using several radar wave attributes in both time‐ and frequency domain, describing the signal velocity, strength, and shape. We found small variations in signal velocity (between 0.06 and 0.07 m/ns) but large variations in both amplitude and shape (either order of magnitude variation or doubling/tripling of attribute values). We see that the GPR response from wetter and more clayey diamicts have both lower amplitudes and lower centroid frequencies than the response from their drier and sandier counterparts. Lastly, we find that the variation in amplitude and shape attributes is better correlated to the diamicts' material properties than the signal velocity.
Photoactivated organic phosphorescence by stereo-hindrance engineering for mimicking synaptic plasticity
Authors: Wang He , Zhang Yuan , Zhou Chifeng , Wang Xiao , Ma Huili , Yin Jun , Shi Huifang , An Zhongfu , Huang Wei
Published: April 2023

Purely organic phosphorescent materials with dynamically tunable optical properties and persistent luminescent characteristics enable more novel applications in intelligent optoelectronics. Herein, we reported a concise and universal strategy to achieve photoactivated ultralong phosphorescence at room temperature through stereo-hindrance engineering. Such dynamically photoactivated phosphorescence behavior was ascribed to the suppression of non-radiative transitions and improvement of spin-orbit coupling (SOC) as the variation of the distorted molecular conformation by the synergistic effect of electrostatic repulsion and steric hindrance. This “trainable” phosphorescent behavior was first proposed to mimic biological synaptic plasticity, especially for unique experience-dependent plasticity, by the manipulation of pulse intensity and numbers. This study not only outlines a principle to design newly dynamic phosphorescent materials, but also broadens their utility in intelligent sensors and robotics.
Estimation of skeletal muscle mass in 4-year-old children using the D3-creatine dilution method
Authors: Sidiqi Aysha , Fariha Farzana , Shanta Shaila S. , Dasiewicz Alison , Mahmud Abdullah Al. , Moore Daniel R. , Shankaran Mahalakshmi , Hellerstein Marc K. , Evans William J. , Gernand Alison D. , Islam M. Munirul , Abrams Steven A. , Harrington Jennifer , Nyangau Edna , Roth Daniel E. , O’Callaghan Karen M.
Published: April 2023

Background

Given limited experience in applying the creatine-(methyl-D3) (D3Cr) dilution method to measure skeletal muscle mass (SMM) in young children, the feasibility of deployment in a fielding setting and performance of the method was assessed in a cohort of 4-year-old children in Dhaka, Bangladesh.

Methods

Following D3Cr oral dose (10 mg) administration, single fasting urine samples were collected at 2–4 days (n = 100). Twenty-four-hour post-dose collections and serial spot urine samples on days 2, 3 and 4 were obtained in a subset of participants (n = 10). Urinary creatine, creatinine, D3Cr and D3-creatinine enrichment were analyzed by liquid chromatography–tandem mass spectrometry. Appendicular lean mass (ALM) was measured by dual-energy x-ray absorptiometry and grip strength was measured by a hand-held dynamometer.

Results

SMM was measured successfully in 91% of participants, and there were no adverse events. Mean ± SD SMM was greater than ALM (4.5 ± 0.4 and 3.2 ± 0.6 kg, respectively). Precision of SMM was low (intraclass correlation = 0.20; 95% CI: 0.02, 0.75; n = 10). Grip strength was not associated with SMM in multivariable analysis (0.004 kg per 100 g of SMM; 95% CI: −0.031, 0.038; n = 91).

Conclusions

The D3Cr dilution method was feasible in a community setting. However, high within-child variability in SMM estimates suggests the need for further optimization of this approach.

Impact

The D3-creatine (D3Cr) stable isotope dilution method was considered a feasible method for the estimation of skeletal muscle mass (SMM) in young children in a community setting and was well accepted among participants.

SMM was weakly associated with both dual-energy x-ray absorptiometry-derived values of appendicular lean mass and grip strength.

High within-child variability in estimated values of SMM suggests that further optimization of the D3Cr stable isotope dilution method is required prior to implementation in community research settings.
Plant pathogen resistance is mediated by recruitment of specific rhizosphere fungi
Authors: Liu Shanshan , Tao Chengyuan , Zhang Lingyin , Wang Zhe , Xiong Wu , Xiang Dandan , Sheng Ou , Wang Jiabao , Li Rong , Shen Zongzhuan , Li Chunyu , Shen Qirong , Kowalchuk George A
Published: April 2023

Beneficial interactions between plants and rhizosphere microorganisms are key determinants of plant health with the potential to enhance the sustainability of agricultural practices. However, pinpointing the mechanisms that determine plant disease protection is often difficult due to the complexity of microbial and plant-microbe interactions and their links with the plant’s own defense systems. Here, we found that the resistance level of different banana varieties was correlated with the plant’s ability to stimulate specific fungal taxa in the rhizosphere that are able to inhibit the Foc TR4 pathogen. These fungal taxa included members of the genera Trichoderma and Penicillium, and their growth was stimulated by plant exudates such as shikimic acid, D-(-)-ribofuranose, and propylene glycol. Furthermore, amending soils with these metabolites enhanced the resistance of a susceptible variety to Foc TR4, with no effect observed for the resistant variety. In total, our findings suggest that the ability to recruit pathogen-suppressive fungal taxa may be an important component in determining the level of pathogen resistance exhibited by plant varieties. This perspective opens up new avenues for improving plant health, in which both plant and associated microbial properties are considered.
The role of integrin family in bone metabolism and tumor bone metastasis
Authors: Mao Liwei , Wang Lian , Xu Jiake , Zou Jun
Published: April 2023

Integrins have been the research focus of cell-extracellular matrix adhesion (ECM) and cytokine receptor signal transduction. They are involved in the regulation of bone metabolism of bone precursor cells, mesenchymal stem cells (MSCs), osteoblasts (OBs), osteoclasts (OCs), and osteocytes. Recent studies expanded and updated the role of integrin in bone metabolism, and a large number of novel cytokines were found to activate bone metabolism pathways through interaction with integrin receptors. Integrins act as transducers that mediate the regulation of bone-related cells by mechanical stress, fluid shear stress (FSS), microgravity, hypergravity, extracellular pressure, and a variety of physical factors. Integrins mediate bone metastasis of breast, prostate, and lung cancer by promoting cancer cell adhesion, migration, and survival. Integrin-mediated targeted therapy showed promising prospects in bone metabolic diseases. This review emphasizes the latest research results of integrins in bone metabolism and bone metastasis and provides a vision for treatment strategies.
Fast and slow intraplate ruptures during the 19 October 2020 magnitude 7.6 Shumagin earthquake
Authors: Bai Yefei , Liu Chengli , Lay Thorne , Cheung Kwok Fai , Yamazaki Yoshiki
Published: April 2023

Strong tsunami excitation from slow rupture of shallow subduction zone faults is recognized as a key concern for tsunami hazard assessment. Three months after the 22 July 2020 magnitude 7.8 thrust earthquake struck the plate boundary below the Shumagin Islands, Alaska, a magnitude 7.6 aftershock ruptured with complex intraplate faulting. Despite the smaller size and predominantly strike-slip faulting mechanism inferred from seismic waves for the aftershock, it generated much larger tsunami waves than the mainshock. Here we show through detailed analysis of seismic, geodetic, and tsunami observations of the aftershock that the event implicated unprecedented source complexity, involving weakly tsunamigenic fast rupture of two intraplate faults located below and most likely above the plate boundary, along with induced strongly tsunamigenic slow thrust slip on a third fault near the shelf break likely striking nearly perpendicular to the trench. The thrust slip took over 5 min, giving no clear expression in seismic or geodetic observations while producing the sizeable far-field tsunami.
Telecom quantum photonic interface for a 40Ca+ single-ion quantum memory
Authors: Arenskötter Elena , Bauer Tobias , Kucera Stephan , Bock Matthias , Eschner Jürgen , Becher Christoph
Published: April 2023

Entanglement-based quantum networks require quantum photonic interfaces between stationary quantum memories and photons, enabling entanglement distribution. Here we present such a photonic interface, designed for connecting a40Ca+single-ion quantum memory to the telecom C-band. The interface combines a memory-resonant, cavity-enhanced spontaneous parametric down-conversion photon pair source with bi-directional polarization-conserving quantum frequency conversion. We demonstrate preservation of high-fidelity entanglement during conversion, fiber transmission over up to 40 km and back-conversion to the memory wavelength. Even for the longest distance and bi-directional conversion the entanglement fidelity remains larger than 95% (98%) without (with) background correction.
Surrogate infection model predicts optimal alveolar macrophage number for clearance of Aspergillus fumigatus infections
Authors: Saffer Christoph , Timme Sandra , Rudolph Paul , Figge Marc Thilo
Published: April 2023

The immune system has to fight off hundreds of microbial invaders every day, such as the human-pathogenic fungus Aspergillus fumigatus. The fungal conidia can reach the lower respiratory tract, swell and form hyphae within six hours causing life-threatening invasive aspergillosis. Invading pathogens are continuously recognized and eliminated by alveolar macrophages (AM). Their number plays an essential role, but remains controversial with measurements varying by a factor greater than ten for the human lung. We here investigate the impact of the AM number on the clearance of A. fumigatus conidia in humans and mice using analytical and numerical modeling approaches. A three-dimensional to-scale hybrid agent-based model (hABM) of the human and murine alveolus allowed us to simulate millions of virtual infection scenarios, and to gain quantitative insights into the infection dynamics for varying AM numbers and infection doses. Since hABM simulations are computationally expensive, we derived and trained an analytical surrogate infection model on the large dataset of numerical simulations. This enables reducing the number of hABM simulations while still providing (i) accurate and immediate predictions on infection progression, (ii) quantitative hypotheses on the infection dynamics under healthy and immunocompromised conditions, and (iii) optimal AM numbers for combating A. fumigatus infections in humans and mice.