bluuebunny/crossref_metadata_2025_split huggingface dataset:
Outcomes of Wilms tumor therapy in Lilongwe, Malawi, 2016–2021: Successes and ongoing research priorities
Authors: Holmes David M. , Matatiyo Apatsa , Mpasa Atupele , Huibers Minke H. W. , Manda Geoffrey , Tomoka Tamiwe , Mulenga Maurice , Namazzi Ruth , Mehta Parth , Zobeck Mark , Mzikamanda Rizine , Chintagumpala Murali , Allen Carl , Nuchtern Jed G. , Borgstein Eric , Aronson Daniel C. , Ozuah Nmazuo , Nandi Bip , McAtee Casey L. 
Published: February 2023

AbstractIntroductionWilms tumor therapy in low‐ and middle‐income countries (LMICs) relies on treatment protocols adapted to resource limitations, but these protocols have rarely been evaluated in real‐world settings. Such evaluations are necessary to identify high‐impact research priorities for clinical and implementation trials in LMICs. The purpose of this study was to identify highest priority targets for future clinical and implementation trials in sub‐Saharan Africa by assessing outcomes of a resource‐adapted treatment protocol in Malawi.MethodsWe conducted a retrospective cohort study of children treated for Wilms tumor with an adapted SIOP‐backbone protocol in Lilongwe, Malawi between 2016 and 2021. Survival analysis assessed variables associated with poor outcome with high potential for future research and intervention.ResultsWe identified 136 patients, most commonly with stage III (n = 35; 25.7%) or IV disease (n = 35; 25.7%). Two‐year event‐free survival (EFS) was 54% for stage I/II, 51% for stage III, and 13% for stage IV. A single patient with stage V disease survived to 1 year. Treatment abandonment occurred in 36 (26.5%) patients. Radiotherapy was indicated for 55 (40.4%), among whom three received it. Of these 55 patients, 2‐year EFS was 31%. Of 14 patients with persistent metastatic pulmonary disease at the time of nephrectomy, none survived to 2 years. Notable variables independently associated with survival were severe acute malnutrition (hazard ratio [HR]: 1.9), increasing tumor stage (HR: 1.5), and vena cava involvement (HR: 3.1).ConclusionHigh‐impact targets for clinical and implementation trials in low‐resource settings include treatment abandonment, late presentation, and approaches optimized for healthcare systems with persistently unavailable radiotherapy.
Glutathione conjugation of nitrogen mustards: In vitro study
Authors: Hamzah Nurhazlina , Kjellberg Matti , Vanninen Paula 
Published: February 2023

RationaleThis paper describes an in vitro study designed to identify metabolic biomarkers resulting from the conjugation of nitrogen mustards (NMs) with glutathione (GSH). The method developed is essential in providing evidence in the event of NM exposure in biomedical samples.MethodsThe mass spectral characterization of the proposed NMs–GSH conjugates was performed with liquid chromatography high‐resolution tandem mass spectrometry (LC‐HRMS/MS). The final reaction mixtures were analysed in positive electrospray ionisation (ESI) at different incubation times.ResultsThis study identified three types of conjugates in addition to ethanolamines, the hydrolysis products of NMs. Monoglutathionyl, diglutathionyl and phosphorylated conjugates were produced for each of the NMs, bis(2‐chloroethyl)ethylamine (HN1), bis(2‐chloroethyl)methylamine (HN2) and tris(2‐chloroethyl)amine (HN3). The monoglutathionyl conjugates consisted of HN1‐GSH, HN2‐GSH and HN3‐GSH. The spontaneous and primary conjugates of diglutathionyl were HN1‐GSH2, HN2‐GSH2 and HN3‐GSH2. These included phosphorylated conjugates, namely HN1‐GSH‐PO4, HN2‐GSH‐PO4 and HN3‐GSH‐PO4, as might have formed due to hydrolysis in phosphate buffer.ConclusionsThe mass spectral data of all conjugates formed in the presence of all NMs and GSH are reported in this study. These GSH metabolites can be used to confirm NMs toxicity in biological samples such as urine.
Stabilizing control of Markovian jump systems with sampled switching and state signals and applications
Authors: Wang Guoliang , Ren Yunshuai , Huang Chao 
Published: February 2023

AbstractThis article addresses the stabilization problem of continuous‐time Markovian jump systems (MJSs). Because of both switching and state signals sampled, a novel system with an exponential matrix characterizing the sampling effects is developed. It is used to be an auxiliary system and plays important roles in system analysis and synthesis. Sufficient stabilization conditions are presented and fully consider the sampling rate. The applications of established methods and results are applied to networked control in the presence of denial‐of‐service (DoS). The frequency and duration of DoS attacks ensuring stability of the closed‐loop system are characterized. Meanwhile, more special situations about particular transition rate matrix, sampling logic and improved mode‐dependent controller are considered respectively. The analysis results are significant and bring an important method to study the control for MJSs with sampled switching and state signals. A numerical example is offered to verify the effectiveness and superiority of the methods proposed in this study.
Practical insights can help college, university leaders to successfully manage rapid changes
Authors: D'Orio Wayne 
Published: February 2023

Michael Horn is the Co‐Founder and Distinguished Fellow at the Clayton Christensen Institute for Disruptive Innovation, a nonprofit think tank based on the theories of the former Harvard professor. He's also the author of several books on education, including most recently 2022's From Reopen to Reinvent: (Re)creating School for Every Child.
A comparison of elementary teachers' verbal supports for students in inclusive and general classroom contexts during an NGSS‐aligned science, engineering, and computer science unit
Authors: Lilly Sarah , McAlister Anne M. , Fick Sarah J. , Chiu Jennifer L. 
Published: February 2023

AbstractElementary teachers are tasked with the challenge of implementing Next Generation Science Standards‐aligned projects that integrate science, technology, engineering, mathematics, and computer science (STEM + CS) in a variety of classroom contexts. This study investigates how teachers verbally support students in two classrooms, one general education class and one inclusive class with a larger proportion of students with individualized educational plans, to engage in a Next Generation Science Standards‐aligned, STEM + CS unit. Teachers' verbal support for students to understand how (pragmatic) and when and why (epistemic) to use practices was examined during whole‐class discussions for a 4‐week unit in science, engineering, and computer science‐focused lessons. Bi‐weekly teacher surveys and weekly teacher interviews provided insight into the teachers' perceptions of students and project activities in each class section. Teachers reported instructional decisions to modify their enactment of the interdisciplinary curricular materials for the Inclusive Class and discussed their rationales for these modifications. Results suggest that instructional decisions that teachers made in how to verbally support students may depend upon their own knowledge of the different disciplines being integrated, their prior beliefs of students in different classroom contexts, and their in‐the‐moment perceptions of student needs. These factors may have led to different learning experiences for the students in each class section. Findings underscore the need for more research to better understand what kinds of support students and teachers need to be able to integrate engineering, science, and computer science content and practices within their elementary classrooms and provide equitable learning opportunities for all students.
Antibacterial Carbon Dots‐Based Composites
Authors: Huang Shan , Song Yuexin , Zhang Jian‐Rong , Chen Xiaojun , Zhu Jun‐Jie 
Published: February 2023

AbstractThe emergence and global spread of bacterial resistance to conventionally used antibiotics have highlighted the urgent need for new antimicrobial agents that might replace antibiotics. Currently, nanomaterials hold considerable promise as antimicrobial agents in anti‐inflammatory therapy. Due to their distinctive functional physicochemical characteristics and exceptional biocompatibility, carbon dots (CDs)‐based composites have attracted a lot of attention in the context of these antimicrobial nanomaterials. Here, a thorough assessment of current developments in the field of antimicrobial CDs‐based composites is provided, starting with a brief explanation of the general synthesis procedures, categorization, and physicochemical characteristics of CDs‐based composites. The many processes driving the antibacterial action of these composites are then thoroughly described, including physical destruction, oxidative stress, and the incorporation of antimicrobial agents. Finally, the obstacles that CDs‐based composites now suffer in combating infectious diseases are outlined and investigated, along with the potential applications of antimicrobial CDs‐based composites.
Ultra‐Thin 2D Ionic Salt Supported with Strong Hydrogen‐Bonding Assisted Ionic Interaction
Authors: Feng Jiaxin , Zhang Ganbing , Wen Ju , He Xianying , Li Ming 
Published: February 2023

Abstract2D materials have attracted great interest since the report of graphene. However, because of the fragile stability of ultra‐thin nanosheets, most studies are restricted to sheets maintained by strong covalent or coordination bonds. The research on which kind of bonds can maintain the free‐standing existence of 2D nanosheets is still of great significance. Recently, 2D ionic salts are successfully synthesized on substrates, but whether 2D ionic salts can free‐stand is still a problem. Herein this problem is addressed by a free‐standing 2D ionic salt (thickness: ≈2 nm) exfoliated from a 4,4′‐bipyridinium hydrochloride salt crystal. The stability of this 2D salt is supported by a strong NH···Cl hydrogen (H)‐bonding assisted ionic interaction (17.99 kcal mol−1), which is verified by density functional theory calculation and natural bond orbital analysis. The salt crystal has strong air‐stable radicals inside and the 2D ionic salt exhibits red fluorescence in solution and in solid‐state, especially in solution the stokes shifts are very large (≈ 386 nm). This breakthrough work is not only beneficial for the construction of novel 2D materials but also for the understanding of H‐bonding interactions.
High Efficiency Near‐Infrared Perovskite Light Emitting Diodes With Reduced Rolling‐Off by Surface Post‐Treatment
Authors: Wei Jianwu , Li Jiong , Duan Chenghao , Yuan Ligang , Zou Shibing , Pang Qi , Yan Keyou 
Published: February 2023

AbstractThe rolling‐off phenomenon of device efficiency at high current density caused by quenching of luminescence in perovskite light‐emitting diodes (PeLED) is challenging to be solved. Here, 2‐amino‐5‐iodopyrazine (AIPZ) is dissolved in a mixed solvent of chlorobenzene (CB)/isopropanol (IPA) (7:3 volume ratio) for surface post‐treatment of FAPbI3 perovskite film. The interaction of AIPZ and perovskite surface not only balances the charge injection but also passivates defects to enhance radiative recombination in PeLED. Therefore, the PeLED champion yields peak external quantum efficiency reaching 23.2% at the current density of 45 mA cm−2 with a radiance brightness of 290 W sr−1 m−2. More importantly, the rolling‐off of device efficiency is significantly reduced. The lowest rolling‐off devices can maintain 80% of peak EQE (22.1%) at a high current density of 460 mA cm−2, whereas the control device only retains 25% of the peak EQE value. This work provides an effective strategy to improve performance and reduce the EQE rolling‐off of PeLED for practical application.
Ultralarge Pixel Array Photothermal Film based on 3D Self‐Suspended Microbridge Structure for Infrared Scene Projection
Authors: Hao Yan , Yang Suhui , Ling Chen , Gao Yanze , Liao Yingqi , Yao Zhaozhao , Li Zhuo 
Published: February 2023

AbstractInfrared emitter is highly desirable for applications in infrared imaging and infrared stealth technology. It is also a core device in infrared scene generation. Light‐driven photothermal film has attracted considerable interest due to its outstanding photothermal properties and easy fabrication. However, the existing photothermal films suffer from low photothermal conversion efficiency (PCE) as well as small sizes. The improvement of the PCE is usually achieved at the expense of dynamic frame rate. Here, this work designs and fabricates a photothermal film based on 3D self‐suspended microbridge structure. Silicon (Si) microbridges are introduced into each microstructure to manipulate the thermal conductivity of the films. By optimizing the parameters of the Si microbridges, the high PCE and fast frame rate are both achieved. Moreover, the 3D structure microbridge film is 4‐inch in diameter, forming an ultralarge array with over 2200 × 2200 pixels. Finally, a high PCE infrared scene projector is realized based on this photothermal film. A visible image is projected on the film, the 3D‐microstructured photothermal film absorbs the visible light and emits an infrared image same as the visible one with high resolution and fast frame rate due to the excellent photothermal properties.
Instructors are learners too: Making faculty development accessible to faculty
Authors: Silverman Sarah 
Published: February 2023

AbstractThis chapter explores the range of barriers that instructors, especially adjunct and other non‐tenure track instructors, may face when attempting to learn new pedagogical techniques or improve their courses. The author will present concrete strategies for using a disability‐informed Universal Design for Learning (UDL) approach to making faculty development programming accessible for a range of instructors by modeling effective UDL practices that instructors can use in their own classrooms.
Interpolating boundary conditions on AdS2
Authors: Canazas Garay Anthonny F. , Correa Diego H. , Faraggi Alberto , Silva Guillermo A. 
Published: February 2023

Abstract
We consider two instances of boundary conditions for massless scalars on AdS2 that interpolate between the Dirichlet and Neumann cases while preserving scale invariance. Assessing invariance under the full SL(2; ℝ) conformal group is not immediate given their non-local nature. To further clarify this issue, we compute holographically 2- and 4-point correlation functions using the aforementioned boundary conditions and study their transformation properties. Concretely, motivated by the dual description of some multi-parametric families of Wilson loops in ABJM theory, we look at the excitations of an open string around an AdS2 ⊂ AdS4 × ℂℙ3 worldsheet, thus obtaining correlators of operators inserted along a 1-dimensional defect in $$ \mathcal{N} $$
N
= 6 super Chern-Simons-matter theory at strong coupling. Of the two types of boundary conditions analyzed, only one leads to the expected functional structure for conformal primaries; the other exhibits covariance under translations and rescalings but not under special conformal transformations.
Phases of a 10-D holographic hard wall model
Authors: Singh Akash , Yogendran K. P. 
Published: February 2023

Abstract
In this article, we study the finite temperature properties of a 10-D version of a hardwall model for QCD. Introducing fundamental matter via probe D7-branes and separate cutoffs rm and rg for the branes and the bulk, we present a detailed exploration of the phases for varying temperature and quark mass. Finite thermodynamic quantities are calculated using the procedure of holographic renormalization and used to characterize the phases. Finally, by fitting glueball and vector meson masses, we show how a unique phase diagram can be isolated.
Uniform Convergent Expansions of the Error Function in Terms of Elementary Functions
Authors: Ferreira Chelo , López José L. , Sinusía Ester Pérez 
Published: February 2023

AbstractWe derive a new analytic representation of the error function $${\text {erf}}\,\, z$$

erf

z

in the form of a convergent series whose terms are exponential and rational functions. The expansion holds uniformly in z in the double sector $$\vert \arg (\pm z)\vert <\pi /4$$

|
arg
(
±
z
)
|
<
π
/
4

. The expansion is accompanied by realistic error bounds.
Production of wood-based panel from recycled wood resource: a literature review
Authors: Nguyen Duy Linh , Luedtke Jan , Nopens Martin , Krause Andreas 
Published: February 2023

AbstractThis article presents and discusses the available studies on utilization of waste wood (WW) resource for wood-based panel production. The cited literature indicated that the majority of WW research was from Europe and conducted mainly on recycled material from particleboard. In addition, particleboard was presented as the first option of wood-based panel product manufactured from waste wood. There was a lack of research on the recycling of plywood. Physical and chemical contaminants fluctuated strongly between low- and high-quality recycled wood mixes depending on their origins. Findings from studies also noticed that wood-based panels (e.g., particleboard) could be produced from 100% WW. However, the physical and mechanical properties of wood-based panel drop with the high proportion of WW content due to the decrease in slenderness ratio and increase in contaminants. Moreover, formaldehyde emission content of particleboard and Oriented Strand Board (OSB) manufactured from WW particles increases when the WW percentage increases. Contrary, the formaldehyde amount decreases with the increase in recycled fiber content in fiberboards. Notably, the properties and emission of recycled wood composite products could be improved by applying high-tech sorting technologies, appropriate chipping techniques, pretreatment steps and formaldehyde-free binders during waste wood handling and production process.
Skeletal muscle and intermuscular adipose tissue gene expression profiling identifies new biomarkers with prognostic significance for insulin resistance progression and intervention response
Authors: Lutter Dominik , Sachs Stephan , Walter Marc , Kerege Anna , Perreault Leigh , Kahn Darcy E. , Wolide Amare D. , Kleinert Maximilian , Bergman Bryan C. , Hofmann Susanna M. 
Published: February 2023

Abstract
Aims/hypothesis
Although insulin resistance often leads to type 2 diabetes mellitus, its early stages are often unrecognised, thus reducing the probability of successful prevention and intervention. Moreover, treatment efficacy is affected by the genetics of the individual. We used gene expression profiles from a cross-sectional study to identify potential candidate genes for the prediction of diabetes risk and intervention response.

Methods
Using a multivariate regression model, we linked gene expression profiles of human skeletal muscle and intermuscular adipose tissue (IMAT) to fasting glucose levels and glucose infusion rate. Based on the expression patterns of the top predictive genes, we characterised and compared individual gene expression with clinical classifications using k-nearest neighbour clustering. The predictive potential of the candidate genes identified was validated using muscle gene expression data from a longitudinal intervention study.

Results
We found that genes with a strong association with clinical measures clustered into three distinct expression patterns. Their predictive values for insulin resistance varied substantially between skeletal muscle and IMAT. Moreover, we discovered that individual gene expression-based classifications may differ from classifications based predominantly on clinical variables, indicating that participant stratification may be imprecise if only clinical variables are used for classification. Of the 15 top candidate genes, ST3GAL2, AASS, ARF1 and the transcription factor SIN3A are novel candidates for predicting a refined diabetes risk and intervention response.

Conclusion/interpretation
Our results confirm that disease progression and successful intervention depend on individual gene expression states. We anticipate that our findings may lead to a better understanding and prediction of individual diabetes risk and may help to develop individualised intervention strategies.

Graphical abstract
Weighing psychosocial factors in relatives for the risk of psychopathology: a study of patients with depressive and anxiety disorders and their siblings
Authors: van Sprang Eleonore D. , Maciejewski Dominique F. , Milaneschi Yuri , Kullberg Marie-Louise J. , Elzinga Bernet M. , van Hemert Albert M. , Hartman Catharina A. , Penninx Brenda W. J. H. 
Published: February 2023

Abstract
Purpose
Siblings of probands with depressive and anxiety disorders are at increased risk for psychopathology, but little is known about how risk factors operate within families to increase psychopathology for siblings. We examined the additional impact of psychosocial risk factors in probands—on top of or in combination with those in siblings—on depressive/anxious psychopathology in siblings.

Methods
The sample included 636 participants (Mage = 49.7; 62.4% female) from 256 families, each including a proband with lifetime depressive and/or anxiety disorders and their sibling(s) (N = 380 proband-sibling pairs). Sixteen psychosocial risk factors were tested. In siblings, depressive and anxiety disorders were determined with standardized psychiatric interviews; symptom severity was measured using self-report questionnaires. Analyses were performed with mixed-effects models accounting for familial structure.

Results
In siblings, various psychosocial risk factors (female gender, low income, childhood trauma, poor parental bonding, being single, smoking, hazardous alcohol use) were associated with higher symptomatology and likelihood of disorder. The presence of the same risk factor in probands was independently associated (low income, being single) with higher symptomatology in siblings or moderated (low education, childhood trauma, hazardous alcohol use)—by reducing its strength—the association between the risk factor and symptomatology in siblings. There was no additional impact of risk factors in probands on likelihood of disorder in siblings.

Conclusion
Our findings demonstrate the importance of weighing psychosocial risk factors within a family context, as it may provide relevant information on the risk of affective psychopathology for individuals.
Pirfenidone affects human cardiac fibroblast proliferation and cell cycle activity in 2D cultures and engineered connective tissues
Authors: Meyer Friederike Elisabeth Ugi , Santos Gabriela Leao , Doan Thao Phuong , DeGrave Alisa Nicole , Bues Bastian , Lutz Susanne 
Published: February 2023

AbstractThe anti-fibrotic drug pirfenidone (PFD) is currently in clinical testing for the treatment of heart failure with preserved ejection fraction; however, its effects on human cardiac cells have not been fully investigated. Therefore, we aimed to characterize the impact of PFD on human cardiac fibroblasts (CF) in 2D culture as well as in 3D-engineered connective tissues (ECT). We analyzed proliferation by automated cell counting and changes in signaling by immunoblotting. We generated ECT with different geometries to modify the cellular phenotype and investigated the effects of PFD on cell number and viability as well as on cell cycle activity. We further studied its effect on ECT compaction, contraction, stiffening, and strain resistance by ECT imaging, pole deflection analysis, and ultimate tensile testing. Our data demonstrate that PFD inhibits human CF proliferation in a concentration-dependent manner with an IC50 of 0.43 mg/ml and its anti-mitogenic effect was further corroborated by an inhibition of MEK1/2, ERK1/2, and riboprotein S6 (rpS6) phosphorylation. In ECT, a lower cell cycle activity was found in PFD-treated ECT and fewer cells resided in these ECT after 5 days of culture compared to the control. Moreover, ECT compaction as well as ECT contraction was impaired. Consequently, biomechanical analyses demonstrated that PFD reduced the stiffness of ECT. Taken together, our data demonstrate that the anti-fibrotic action of PFD on human CF is based on its anti-mitogenic effect in 2D cultures and ECT.