bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flexible and durable conductive nickel/graphene‐coated polyethylene terephthalate fabric for highly efficient electromagnetic shielding
Authors: Babaahmadi Vahid , Moradi Hamidreza , Askari Gholamreza , Nasouri Komeil 
Published: August 2023

AbstractThis research describes a facile method to prepare durable and highly conductive polyethylene terephthalate (PET) fabrics for electromagnetic interference (EMI) shielding applications. The PET fabric surface was first coated with graphene (Gr), which converted PET to conductive Gr‐PET fabric. In addition, magnetic nickel (Ni) nanoparticles were deposited on the Gr‐PET substrate by an electroplating approach with different deposition time intervals (5–20 min). The surface morphology, microstructure, magnetic properties, electric conductivity, and EMIs shielding properties of the Ni/Gr‐PET fabrics were ascribed as a function of the deposition times. The Ni/Gr‐PET fabrics with different nickel nanoparticle morphologies display different microstructures. The manufactured Ni/Gr‐PET fabrics exhibited excellent electrical conductivity and saturation magnetization of 100–134 S/cm and 14–30 emu/g, respectively. The EMI shielding efficiency of the manufactured Ni/Gr‐PET fabrics with 15 min of deposition time reached −70.0 dB with a thickness of 0.33 ± 0.03 mm over the 8–12 GHz frequencies. The Ni/Gr‐PET fabrics maintained relatively durable electrical properties even after cyclic bending, ultra‐sonication, and treatment with organic solvents. It has been demonstrated that the properties of Ni/Gr‐PET fabrics can be controlled by changing the surface morphology and microstructure of the nickel nanoparticles, which provides a novel protocol to manufacture PET fabrics with highly efficient EMI shielding properties.
Tackling Imatinib Resistance via Au‐nanoconjugates using A Cml Resistant Cell Line
Authors: Abdulmawjood Bilal , Roma‐Rodrigues Catarina , Baptista Pedro V. , Fernandes Alexandra R. 
Published: August 2023

AbstractChronic myeloid leukemia (CML) is a rare malignant proliferative hematopoietic disease due to overexpression of a tyrosine kinase (TK) derived from the breakpoint cluster region (BCR)‐abelson tyrosine‐protein kinase 1 (ABL1) gene fusion. Imatinib (IM), blocks this tyrosine kinase, and is the first line TK inhibitor (TKI) used in CML treatment. In a high percentage of CML patients, a poor response with relapse and disease progression is associated to acquisition of resistance through different mechanisms, including dysregulation of c‐MYC proto‐oncogene. Gold nanoparticles (AuNPs) are shown to allow improved efficacy in gene silencing approaches toward cancer therapy. Herein, the silencing potential of AuNPs functionalized with antisense oligonucleotides selectively targeting the e14a2 BCR‐ABL1 or the c‐MYC, alone and combination is evaluated. It is demonstrated efficient silencing of gene expression that translated to a downregulation of protein levels in IM resistant CML cells (K562‐IM). This combination allowed for increased death of the malignant cells. These Au‐nanoconjugates may be useful to tackle IM‐resistance mechanisms, providing an additional tool for future combinatory schemes to fight CML with imatinib resistance.
Outcomes of a respiratory therapist driven high flow nasal cannula management protocol for pediatric critical asthma patients
Authors: Maue Danielle K. , Cater Daniel T. , Rogerson Colin M. , Ealy Aimee , Tori Alvaro J. , Abu‐Sultaneh Samer 
Published: August 2023

AbstractIntroductionThis study aimed to determine if a respiratory therapist (RT)‐driven high flow nasal cannula (HFNC) protocol could decrease duration of HFNC use, pediatric intensive care unit (PICU) and hospital length of stay (LOS), and duration of continuous albuterol use in pediatric patients with critical asthma.MethodsThis was a quality improvement project performed at a quaternary academic PICU. Patients admitted to the PICU between 2 and 18 years of age with a diagnosis of asthma requiring continuous albuterol and HFNC were included. Implementation of an RT‐driven HFNC protocol [Plan‐Do‐Study‐Act (PDSA) 1] occurred in October 2017. Additional interventions included weaning continuous albuterol and HFNC simultaneously (PDSA 2; March 2019), adjusting HFNC wean rate (PDSA 3; July 2020), and a HFNC holiday (PDSA 4; October 2021). HFNC duration was the primary outcome. Secondary outcomes included LOS data and continuous albuterol duration. Noninvasive ventilation (NIV), invasive mechanical ventilation (IMV), and 7‐day PICU and hospital readmission rates were used as balancing measures.ResultsA total of 410 patients were included. Patient demographics and adjunct therapy use did not differ among the groups. After PDSA 2, mean HFNC duration decreased (26.8–18.1 h). Mean PICU LOS decreased (41–31.8 h). Mean hospital LOS also decreased (86.5–68 h). These outcomes remained stable during PDSA 3 and 4. Continuous albuterol duration and NIV use were unchanged, while IMV use decreased.ConclusionsAn RT‐driven HFNC protocol led to decreased length of HFNC and PICU and hospital LOS for pediatric patients with critical asthma without an increase in adverse events.
Effects of aquatic exercises in patients after total hip arthroplasty: A systematic review
Authors: Centurião Julio Henric V. M. , Obara Karen , Silva Carla T. , Paixão Luana , Silva Mariana F. , Dias Josilainne M. , Cardoso Jefferson R. 
Published: August 2023

AbstractBackgroundTotal hip arthroplasty (THA) is a surgical procedure that can alter physical function and quality of life.ObjectivesThe aim was to verify the effects of aquatic exercises compared with exercises on land, control or other modalities, in patients undergoing THA on the primary outcomes: self‐reported physical function, quality of life and pain; and secondary outcomes: muscle strength, functional capacity and gait.DesignSystematic review that followed the PRISMA Statement and PROSPERO registered. The search was performed in the following databases: Web of Science, Embase, Medline, Cinahl, Lilacs, SPORTDiscus, Cochrane Library, Scopus, SciELO, and PEDro, from 1945 to 2022. The risk of bias assessment was performed using the Risk of Bias 2 (RoB2) from the Cochrane Collaboration.ResultsThree randomized controlled trials (RCTs) were included, with a total of 364 participants. In the selection process, two publications from the same study were found. The RoB2 assessment classified one RCT as “high risk of bias” and the others as “low risk of bias”. Therefore, the analysis of the results considered only studies with a low risk of bias. For the self‐reported physical function outcome, evaluated by WOMAC, improvement was observed in favor of aquatic exercises, when started on the 14th postoperative day. Pain improved after 24th week postoperative, in favor of exercise (effect size between 0.2 and 0.4). Quality of life, verified only by one RCT, improved at each time point evaluated (effect size between 0.01 and 0.10). The functional capacity showed no difference between the groups. This was the first systematic review to assess the benefits of aquatic exercises specifically in THA and it was possible to infer that the exercises initiated after 14 days of postoperative are safer. The protocol should include proprioceptive, coordination, and resistance exercises. The session can last around 30 min and is held three times a week.ConclusionDecision making for treatment in the postoperative of THA may include aquatic exercises as a safe and efficacious alternative to improve self‐reported physical function, pain, quality of life, and muscle resistance.
zPoseScore model for accurate and robust protein–ligand docking pose scoring in CASP15
Authors: Shen Tao , Liu Fuxu , Wang Zechen , Sun Jinyuan , Bu Yifan , Meng Jintao , Chen Weihua , Yao Keyi , Mu Yuguang , Li Weifeng , Zhao Guoping , Wang Sheng , Wei Yanjie , Zheng Liangzhen 
Published: August 2023

AbstractWe introduce a deep learning‐based ligand pose scoring model called zPoseScore for predicting protein–ligand complexes in the 15th Critical Assessment of Protein Structure Prediction (CASP15). Our contributions are threefold: first, we generate six training and evaluation data sets by employing advanced data augmentation and sampling methods. Second, we redesign the “zFormer” module, inspired by AlphaFold2's Evoformer, to efficiently describe protein–ligand interactions. This module enables the extraction of protein–ligand paired features that lead to accurate predictions. Finally, we develop the zPoseScore framework with zFormer for scoring and ranking ligand poses, allowing for atomic‐level protein–ligand feature encoding and fusion to output refined ligand poses and ligand per‐atom deviations. Our results demonstrate excellent performance on various testing data sets, achieving Pearson's correlation  = 0.783 and 0.659 for ranking docking decoys generated based on experimental and predicted protein structures of CASF‐2016 protein–ligand complexes. Additionally, we obtain an averaged local distance difference test (lDDT pli = 0.558) of AIchemy LIG2 in CASP15 for de novo protein–ligand complex structure predictions. Detailed analysis shows that accurate ligand binding site prediction and side‐chain orientation are crucial for achieving better prediction performance. Our proposed model is one of the most accurate protein–ligand pose prediction models and could serve as a valuable tool in small molecule drug discovery.
Denials, delusions, and bias
Authors: Nelson Pamela , Robbins Kristin 
Published: August 2023

AbstractDuring the years that I have led process hazard analyses (PHA), I have repeatedly encountered team members who adamantly proclaimed that a scenario that I have proposed is invalid or too farfetched. Their reasoning is based on the idea that “It can't happen here” or “We have operated for twenty years and that's never happened.” This paper will focus on three examples of the above reasoning. The first and second will examine the "it can't happen here" attitude and the third will explore the "it hasn't happened so it won't happen" mindset. Through analyzing both of these scenarios, this paper will delve into the development of human bias that leads to these determinantal attitudes. Each example from an actual PHA Team will illustrate the prevalence of these type of human bias. It will also provide recommendations for addressing these two particular types of bias in a process hazard analysis. Failure is an inherent product of these human biases and this paper will seek to address why people fail to learn from prior incidents at their own company and those from industry. Each example from an actual PHA Team will illustrate these types of human bias. It will also provide some recommendations for addressing these two types of bias in a process hazard analysis. Using the examples from real‐life PHAs to illustrate the concepts of human bias and how they can affect the ability of a PHA team to adequately assess risk, will provide insight on how this can occur and how it can be addressed. The overall objective of this paper is to help develop a better understanding of how human bias can lead to failure to learn from prior incidents and is reflective of Process Safety Culture. Overcoming and addressing human bias supports learning from other incidents and improve the assessment of risk.
Metastable aluminum boride: density functional theory study of prerequisites of formation
Authors: Flyagina Irina S. , Markov Alexander A. , Malkin Alexander I. , Popov Dmitry A. , Chuvildeev Vladimir N. 
Published: August 2023

AbstractAluminum borides have significant practical interest as energetic additives to fuels, explosives and propellants due to their favorable thermodynamic and kinetic characteristics. Density functional theory calculations with periodic boundary conditions have been performed to evaluate the enthalpy of formation of two aluminum borides: the well‐known aluminum diboride AlB2 and the metastable Al1.28B phase, which precedes the formation of AlB2 during heat treatment of mechanically activated composite aluminum‐boron powders, as well as aluminum ion‐implanted with boron. The calculated formation enthalpy of AlB2 is −3.6 kcal/mol, which agrees well with estimates from literature. The enthalpy of formation of Al1.28B, calculated for the first time, is 4.8 ± 0.4 kcal/mol. To understand the prerequisites for the formation of Al1.28B observed in experiments, the enthalpy of formation of supersaturated solid solutions of B in Al has been evaluated. The reasons for the preferential formation of the metastable Al1.28B phase over the thermodynamically stable AlB2 phase are discussed.
Inferring odontocete life history traits in dentine using a multiproxy approach (δ15N, δ44/42Ca and trace elements)
Authors: Martin Jeremy E. , Tacail Théo , Simon Laurent , Hassler Auguste , Télouk Philippe , Balter Vincent 
Published: August 2023

RationaleUnderstanding the interactions between marine mammals and their environment is critical for ecological and conservation purposes. Odontocetes offer a continuous record of their life history from birth as recorded in annual increments of their tooth dentine. Because dentine is not remodeled and contains collagen, nitrogen stable isotope compositions (δ15N) reflect nursing and weaning events, life history traits that would otherwise be impossible to retrieve in such elusive marine animals. Yet, capturing the magnitude and temporal changes in these events is constrained by tooth size and sampling resolution. Moreover, historical and fossil specimens undergo collagen decay, hence the need to develop the measurements of other proxies.MethodsHere, we present a multiproxy approach to investigate the use of Ca isotope compositions (δ44/42Ca) in relation to δ15N and laser ablation profiles for different trace metal (Ba, Mg, Sr, Zn) concentrations across the dentine of a single individual of the common bottlenose dolphin Tursiops truncatus.ResultsTo help interpret the dentine data, we provide milk elemental compositions and δ44/42Ca values for two odontocete individuals. We discuss the observed changes in δ44/42Ca across the dentine as potential markers of birth, weaning interval, incidental ingestion of seawater, trophic level and physiology. Incidental ingestion of seawater during nursing induces a positive offset in δ44/42Ca values recorded in the early formed dentine.ConclusionsLife history parameters of individual marine mammals are extremely difficult to retrieve due to limitations in observing specimens in the wild and the methodology presented here offers new ecological and paleoecological perspectives.
Serum leucine‐rich α2‐glycoprotein as a possible marker for inflammatory status in endometriosis
Authors: Kobayashi Mio , Nakamura Orie , Kitahara Yoshikazu , Inoue Naoki , Tsukui Yumiko , Hasegawa Yuko , Hiraishi Hikaru , Yabuki Atsushi , Muraoka Ayako , Osuka Satoko , Iwase Akira 
Published: August 2023

AbstractPurposeThis study aimed to investigate whether serum leucine‐rich α2‐glycoprotein (LRG) is a useful diagnostic biomarker for endometriosis, including the evaluation of treatment efficacy and exploration of LRG production in endometriotic lesions.MethodsForty‐three women with endometriomas were compared to 22 women with benign ovarian cysts and 30 women who underwent assisted reproduction as controls. Changes in serum LRG levels were assessed before and after surgery, and during dienogest treatment. LRG expression in endometriotic tissue samples was evaluated using immunoblotting.ResultsSerum LRG levels in the endometrioma group (80.0 ± 36.3 μg/mL) were significantly higher than those in the benign ovarian cyst (65.1 ± 27.0 μg/mL, p = 0.0265) and control (57.8 ± 22.3 μg/mL, p = 0.0028) groups. Serum LRG levels after endometrioma surgery were significantly lower than preoperative levels (p = 0.0484). Serum LRG levels consistently decreased during dienogest treatment. LRG expression levels were significantly higher in endometriotic tissues than in the normal endometrium.ConclusionSerum LRG, possibly derived from local and systemic origins, could be used as a potential biomarker for the diagnosis and treatment of endometriosis.
Theorizing science‐civic practices: Youth adaptation and remixing of scientific numeracies within digital civic media
Authors: Zummo Lynne , Gargroetzi Emma , Hadzic Lea 
Published: August 2023

AbstractInformed civic engagement has long been a goal of science education. Yet, how youth civically engage using science—what knowledge and practices they draw on, when, how, and for what purposes—remains largely unknown. By examining youth civic digital media production around climate change and COVID‐19, we shed light on this area. We view both scientific and civic engagement through the theoretical lens of social practice, which locates learning, knowledge, and cognition within culturally embedded social activities. With this theoretical disposition, we examined media produced by youth during the 2020 U.S. presidential election, asking: (1) What scientific numeracies did youth use in civic participation about climate change and COVID‐19? And (2) In what ways did youth adapt and/or remix canonical scientific numeracies within their digital civic media production? Through qualitative coding of 249 media pieces, we identified ways in which youth engaged and adapted scientific civic numeracies. We found that youth often adapted canonical forms of numeracy, integrated or “remixed” scientific numeracies with other knowledges such as those of place and politics, and interwove multiple numeracies. We begin to theorize science‐civic practices, or the locally‐meaningful ways of participating and meaning‐making that interweave multiple literacies used to advance one's civic aims. We use our findings to argue for the imperative of bringing the civic world into the science classroom.
Presenting a socio‐scientific issue in a science and technology museum: Effects on interest, knowledge and argument repertoire
Authors: Novak Magdalena , Gramser Siëlle , Köster Sandra , Ceseña Feliza , Gerber‐Hirt Sabine , Schwan Stephan , Lewalter Doris 
Published: August 2023

AbstractMany museums deal with socio‐scientific issues—meaning topics with multiple perspectives and ongoing research, such as climate change, vaccinations, or livestock farming. As important and trusted sources of science education, museums can play a critical role in raising awareness about such issues. They tend to highlight the various perspectives on the topic and thereby are able to provide a balanced and impartial information presentation. Visitors are therefore confronted both with views that correspond to their own beliefs and with views that contradict their beliefs and are supported in developing an informed opinion on the respective topic. In our study, we used an experimental exhibition on the topic “animal husbandry” to investigate the extent to which, first, an exhibition visit in general and, second, how different picture captions affect knowledge acquisition and interest. We chose a between‐subjects design with the factor conflict framing through picture captions. Whereas one group visited an exhibition in which the picture captions were formulated neutrally, another group read picture captions that emphasized the existing conflict. A control group, which did not visit the exhibition at all, allowed us to examine the general effect of the exhibition. As dependent variables, we chose interest and knowledge acquisition as common instruments of educational visitor research. However, we went one step further and used an innovative instrument: visitors' argument repertoire. We found that visiting the exhibition led to higher interest, knowledge acquisition, and a more balanced argument repertoire. Varying the captions had no significant effect. Implications and limitations are discussed.
Improving Crystallinity and Out‐of‐Plane Orientation in Quasi‐2D Ruddlesden‐Popper Perovskite by Fluorinated Organic Salt for Light‐Emitting Diodes
Authors: He Bingchen , Liu Tanghao , Wang Chenyue , Wen Zhaorui , Sun Bo , Wen Wen , Xing Guichuan , Gao Xingyu , Chen Shi 
Published: August 2023

AbstractFluoro‐substituted aromatic alkylammonium spacer cations are found effective to improve the performance of quasi‐2D perovskite light‐emitting diodes (PeLEDs). The fluorine substitution is generally attributed to the defect passivation, quantum well width control, and energy level adjustments. However, the substituted cations can also affect the crystallization process but is not thoroughly studied. Herein, a comparison study is carried out using bare PEA cation and three different fluoro‐substituted PEA (x‐F‐PEA, x = o, ortho; m, meta; p, para) cations to investigate the impacts of different substitution sites on the perovskite crystallization and orientations. By using GIWAXS, p‐F‐PEA cation is found to induce the strongest preferential out‐of‐plane orientations with the best crystallinity in quasi‐2D perovskite. Using dynamic light scattering (DLS) methods, larger colloidal particles (630 nm) are revealed in p‐F‐PEA precursor solutions than the PEA cations (350 nm). The larger particles can accelerate the crystallization process and induce out‐of‐plane orientation from increased dipole–dipole interaction. The transient absorption measurement confirms longer radiative recombination lifetime, proving beneficial effect of p‐F‐PEA cation. As a result, the fabricated p‐F‐PEA‐based PeLEDs achieved the highest EQE of 15.2%, which is higher than those of PEA‐ (8.8%), o‐F‐PEA‐ (4.3%), and m‐F‐PEA‐based (10.3%) PeLEDs.
Efficient linearizability checking for actor‐based systems
Authors: Al‐Mahfoudh Mohammed S. , Stutsman Ryan , Gopalakrishnan Ganesh 
Published: August 2023

AbstractRecent demand for distributed software had led to a surge in popularity in actor‐based frameworks. However, even with the stylized message passing model of actors, writing correct distributed software is still difficult. We present our work on linearizability checking in DS2, an integrated framework for specifying, synthesizing, and testing distributed actor systems. The key insight of our approach is that often subcomponents of distributed actor systems represent common algorithms or data structures (e.g., a distributed hash table or tree) that can be validated against a simple sequential model of the system. This makes it easy for developers to validate their concurrent actor systems without complex specifications. DS2 automatically explores the concurrent schedules that system could arrive at, and it compares observed output of the system to ensure it is equivalent to what the sequential implementation could have produced. We describe DS2's linearizability checking and test it on several concurrent replication algorithms from the literature. We explore in detail how different algorithms for enumerating the model schedule space fare in finding bugs in actor systems, and we present our own refinements on algorithms for exploring actor system schedules that we show are effective in finding bugs.