bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hearing, Balance, and Mortality: Sex‐Specific Patterns in a Longitudinal Study
Authors: Berge Jan E. , Nilsen Geir A. , Goplen Frederik K. , Kringeland Ester , Nordahl Stein H. G. , Aarstad Hans J. 
Published: July 2024

AbstractObjectivesAssess the association of hearing on sex‐specific overall mortality and death from acute cardiovascular disease and evaluate if these effects are modulated by postural balance.Study DesignCohort study.SettingOtolaryngology department at an academic hospital.MethodsPatients underwent standard clinical examination, laboratory examination including stabilometry and audiometry. Pure tone average on the best hearing ear was calculated from 0.5, 1, 2, and 3 kHz. Cause of death was retrieved from the Norwegian Cause of Death Registry.ResultsA total of 1036 patients (58.8% women) were followed for 26 ± 3 years. In Cox regression analyses for overall mortality adjusted for age, past medical history, and vestibular disease, 10 dB increase in hearing threshold was associated with a 14% increase in mortality among men (hazard ratio 95% confidence interval: 1.02‐1.28, P = .02), but no significant association was seen between hearing and mortality in women (0.92‐1.15, P = .60). The same analyses for acute cardiovascular death found that a 10 dB increase in hearing threshold was associated with a 57% increase in hazard ratio in men (1.21‐2.05, P < .001), but no significant effect of hearing on survival was seen in women (P = .71). Adjusting for postural balance did not change the association between hearing and mortality.ConclusionThis study finds hearing threshold is associated with overall mortality and acute cardiovascular death among men, with no such association observed among women. Our findings indicate important differences between men and women and suggest that such differences should be taken into consideration in audiological research.
Review on electrospray nanoparticles for drug delivery: Exploring applications
Authors: Patel Pratikshkumar R. , Haemmerich Dieter 
Published: July 2024

AbstractElectrospraying has emerged as a versatile technique in the pharmaceutical field due to its potential in drug delivery and formulation. With its advantages of cost‐effectiveness, reproducibility, ease of operation, and scalability, electrospraying offers numerous benefits for pharmaceutical applications. Notably, the production of nanoparticles using electrospraying provides unique properties, including small size, drug encapsulation capabilities, biocompatibility, and scalability. Electrospray nanoparticles have demonstrated significant promise in various drug delivery routes, such as oral and topical administration. These nanoparticles enhance drug stability, protection, and permeability, effectively overcoming limitations associated with these routes. Moreover, electrospray nanoparticles have proven valuable in targeted drug delivery, improving drug bioavailability and efficacy. Their ability to penetrate tissues and cells enables enhanced drug delivery to specific sites within the body. Additionally, electrospray nanoparticles can be tailored with targeting ligands or responsive components for controlled release and combination therapy, exhibiting successful applications in cancer treatment and neurological disorders. Therefore, electrospray nanoparticle technology shows great promise in biomedical applications, offering a versatile platform for targeted drug delivery and therapeutic interventions. This comprehensive review examines the various drug delivery applications of electrospraying and provides insights into its possibilities and challenges. The paper discusses the principles, methods, and parameters of electrospraying, while also exploring its use in fabricating drug delivery systems, addressing poorly soluble drugs. By synthesizing the findings from multiple studies, this review offers a comprehensive understanding of electrospraying's current state and potential in the pharmaceutical industry.
Pseudophosphorylation of single residues of the J‐domain of DNAJA2 regulates the holding/folding balance of the Hsc70 system
Authors: Velasco‐Carneros Lorea , Bernardo‐Seisdedos Ganeko , Maréchal Jean‐Didier , Millet Oscar , Moro Fernando , Muga Arturo 
Published: July 2024

AbstractThe Hsp70 system is essential for maintaining protein homeostasis and comprises a central Hsp70 and two accessory proteins that belong to the J‐domain protein (JDP) and nucleotide exchange factor families. Posttranslational modifications offer a means to tune the activity of the system. We explore how phosphorylation of specific residues of the J‐domain of DNAJA2, a class A JDP, regulates Hsc70 activity using biochemical and structural approaches. Among these residues, we find that pseudophosphorylation of Y10 and S51 enhances the holding/folding balance of the Hsp70 system, reducing cochaperone collaboration with Hsc70 while maintaining the holding capacity. Truly phosphorylated J domains corroborate phosphomimetic variant effects. Notably, distinct mechanisms underlie functional impacts of these DNAJA2 variants. Pseudophosphorylation of Y10 induces partial disordering of the J domain, whereas the S51E substitution weakens essential DNAJA2‐Hsc70 interactions without a large structural reorganization of the protein. S51 phosphorylation might be class‐specific, as all cytosolic class A human JDPs harbor a phosphorylatable residue at this position.
Multiple Functional Protein–Protein Interaction Interfaces Allosterically Regulate ATP‐Binding in Cyclin‐Dependent Kinase‐1
Authors: Vishwakarma Krishna Kant , Kolthur Ullas Seetharam , Venkatramani Ravindra 
Published: July 2024

ABSTRACTThe ATP‐dependent phosphorylation activity of cyclin‐dependent kinase 1 (CDK1), an essential enzyme for cell cycle progression, is regulated by interactions with Cyclin‐B, substrate, and Cks proteins. We have recently shown that active site acetylation in CDK1 abrogated binding to Cyclin‐B which posits an intriguing long‐range communication between the catalytic site and the protein–protein interaction (PPI) interface. Now, we demonstrate a general allosteric link between the CDK1 active site and all three of its PPI interfaces through atomistic molecular dynamics (MD) simulations. Specifically, we examined ATP binding free energies to CDK1 in native nonacetylated (K33wt) and acetylated (K33Ac) forms as well as the acetyl‐mimic K33Q and the acetyl‐null K33R mutant forms, which are accessible in vitro. In agreement with experiments, ATP binding is stronger in K33wt relative to the other three perturbed states. Free energy decomposition reveals, in addition to expected local changes, significant and selective nonlocal entropic responses to ATP binding/perturbation of K33 from the ‐helix, activation loop (A‐loop), and ‐H segments in CDK1 which interface with Cyclin‐B, substrate, and Cks proteins, respectively. Statistical analysis reveals that while entropic responses of protein segments to active site perturbations are on average correlated with their dynamical changes, such correlations are lost in about 9%–48% of the dataset depending on the segment. Besides proving the bi‐directional communication between the active site and the CDK1:Cyclin‐B interface, our study uncovers a hitherto unknown mode of ATP binding regulation by multiple PPI interfaces in CDK1.
Unveiling the diet of two generalist stink bugs, Halyomorpha halys and Pentatoma rufipes (Hemiptera: Pentatomidae), through metabarcoding of the ITS2 region from gut content
Authors: Berteloot Olivier Hendrik , Peusens Gertie , Beliën Tim , De Clercq Patrick , Van Leeuwen Thomas 
Published: July 2024

AbstractBACKGROUNDThe use of DNA metabarcoding has become an increasingly popular technique to infer feeding relationships in polyphagous herbivores and predators. Understanding host plant preference of native and invasive herbivore insects can be helpful in establishing effective integrated pest management (IPM) strategies. The invasive Halyomorpha halys and native Pentatoma rufipes are piercing‐sucking stink bug pests that are known to cause economic damage in commercial fruit orchards.RESULTSIn this study, we performed molecular gut content analysis (MGCA) on field‐collected specimens of these two herbivorous pentatomids using next‐generation amplicon sequencing (NGAS) of the internal transcribed spacer 2 (ITS2) barcode region. Additionally, a laboratory experiment was set up where H. halys was switched from a mixed diet to a monotypic diet, allowing us to determine the detectability of the initial diet in a time series of ≤3 days after the diet switch. We detected 68 unique plant species from 54 genera in the diet of two stink bug species, with fewer genera found per sample and a smaller diet breadth for P. rufipes than for H. halys. Both stink bug species generally prefer deciduous trees over gymnosperms and herbaceous plants. Landscape type significantly impacted the observed genera in the diet of both stink bug species, whereas season only had a significant effect on the diet of H. halys.CONCLUSIONThis study provides further insights into the dietary composition of two polyphagous pentatomid pests and illustrates that metabarcoding can deliver a relevant species‐level resolution of host plant preference. © 2024 Society of Chemical Industry.
Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference‐Base Centred Multiple Imputation
Authors: Cro Suzie , Roger James H. , Carpenter James R. 
Published: July 2024

ABSTRACTThe ICH E9(R1) Addendum (International Council for Harmonization 2019) suggests treatment‐policy as one of several strategies for addressing intercurrent events such as treatment withdrawal when defining an estimand. This strategy requires the monitoring of patients and collection of primary outcome data following termination of randomised treatment. However, when patients withdraw from a study early before completion this creates true missing data complicating the analysis. One possible way forward uses multiple imputation to replace the missing data based on a model for outcome on‐ and off‐treatment prior to study withdrawal, often referred to as retrieved dropout multiple imputation. This article introduces a novel approach to parameterising this imputation model so that those parameters which may be difficult to estimate have mildly informative Bayesian priors applied during the imputation stage. A core reference‐based model is combined with a retrieved dropout compliance model, using both on‐ and off‐treatment data, to form an extended model for the purposes of imputation. This alleviates the problem of specifying a complex set of analysis rules to accommodate situations where parameters which influence the estimated value are not estimable, or are poorly estimated leading to unrealistically large standard errors in the resulting analysis. We refer to this new approach as retrieved dropout reference‐base centred multiple imputation.
A functional data‐driven method for modeling degradation of waxy lubrication layer
Authors: Kang Wenda , Li Shixiang , Tian Yubin , Yin Ying , Sui Heliang , Wang Dianpeng 
Published: July 2024

AbstractWax is a prevalent lubrication material extensively employed in various engineering applications. Understanding the degradation characteristics of the waxy lubrication layer under diverse stress variables and levels is crucial for ensuring system security and reliability. Due to the unclear mechanism governing the degradation of the waxy lubrication layer under different stress variables, existing degradation models are unsuitable for modeling waxy lubrication layer degradation data. To address this challenge, we propose a functional data‐driven method leveraging dense observations of waxy degradation. Through extensive simulations and a case study, we demonstrate the superior performance and effectiveness of the proposed approach.
Macroinvertebrate response to run‐of‐river hydropower tailrace inflow: Spatial assessment of community and traits
Authors: Mihara Janine T. , Negishi Junjiro N. , Wu Junyi 
Published: July 2024

AbstractRun‐of‐river (R‐O‐R) hydropower dams introduce two discontinuities in the river: the dam and the tailrace. Discontinuities can lead to changes in the water quality that may affect the survival of aquatic macroinvertebrates, depending on their traits. We investigated the invertebrate assemblage and community‐level traits in an urban river influenced by a small hydropower tailrace in Hokkaido, Japan. As a result of the tailrace inflow to the main channel, the bypassed reach was warmer, and the areas below the confluence were colder. Temperature was a consistent factor affecting the distribution of indicator taxa and of the five major taxa that contributed the most to dissimilarity, but other environmental factors also showed significant effects. At the community level, the weighted mean of taxa with warm preference showed a significant positive relationship with temperature, but taxa with cold preference did not appear to be filtered by the cold water delivered by the tailrace. However, sensitive taxa such as Ephemerella have already started showing negative responses to temperature. The observed distribution of cold‐preferring scrapers could negatively affect the energy transfer from primary producers to higher consumers in the bypassed reach. Appropriate mitigation of climate change effects in hydropower systems can be achieved by increasing the flow in the bypassed reach, especially during the summer months, to maintain a temperature regime that is adequate for the survival of macroinvertebrate populations and maintenance of ecosystem functions.
Approximate analytical solution of a soil water movement equation under different ponding radii on the basis of numerical simulation
Authors: Luo Pengcheng , Su Lijun , Tao Wanghai , Shan Yuyang , Deng Mingjiang , Wang Quanjiu , Yan Haokui 
Published: July 2024

AbstractThis study addresses the problem of 2D soil water movement under ponding radii of 1, 2, and 3 cm. The soil water movement characteristics (shape parameters of the water content profile, ratio of horizontal wetting front to vertical wetting front, relationship between infiltration time and horizontal wetting front, and relationship between infiltration time and cumulative infiltration) under the above three kinds of water ponding radius were analyzed. On the basis of the assumption that the soil wetting body is a semi‐ellipse and the analytical solution of the 1D soil water movement equation at any angle, the approximate analytical solution of the 2D soil water movement equation under ponding conditions is optimized. The function relationships between infiltration time, wetting front, and cumulative infiltration are established. We applied the numerical data simulated by HYDRUS‐3D to validate the parameters in proposed analytical solutions and evaluated the relationships between the wetting front and hydraulic parameters. The results indicate that as the water ponding radius increases, the wetting body and 2D water content distribution becomes larger. When the water ponding radius was 2 cm, the numerical and analytical solution of 1D soil water distribution showed the best comparison results, and the model error was the smallest. The ratio of wetting fronts was linearly increased with the increase of air‐entry suction with R2 = 0.9969.
Neural interval‐censored survival regression with feature selection
Authors: Meixide Carlos García , Matabuena Marcos , Abraham Louis , Kosorok Michael R. 
Published: July 2024

AbstractSurvival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine. This prominence is due to the increasing prevalence of large and high‐dimensional datasets, such as omics and medical image data. However, the literature on nonlinear regression algorithms and variable selection techniques for interval‐censoring is either limited or nonexistent, particularly in the context of neural networks. Our objective is to introduce a novel predictive framework tailored for interval‐censored regression tasks, rooted in Accelerated Failure Time (AFT) models. Our strategy comprises two key components: (i) a variable selection phase leveraging recent advances on sparse neural network architectures; (ii) a regression model targeting prediction of the interval‐censored response. To assess the performance of our novel algorithm, we conducted a comprehensive evaluation through both numerical experiments and real‐world applications that encompass scenarios related to diabetes and physical activity. Our results outperform traditional AFT algorithms, particularly in scenarios featuring nonlinear relationships.
Effect of Contact Time on Carbon Deposition and Catalytic Activity of Nickel Alumina Catalysts for Dry Reforming of Methane
Authors: Charan Nayak Sudhir , Sengupta Siddhartha , Deo Goutam 
Published: July 2024

AbstractDry reforming of methane (DRM) reaction is advantageous in producing syngas with a low H2/CO, relevant to many industries. Effect of contact time on catalytic activity and carbon deposition is studied for DRM using Ni−Al catalysts, along with the effect of metal loading, reaction temperature, and reactant partial pressure (CO2/CH4). Maximum CH4 conversion (58 %) and CO2 (59 %) were achieved at a higher contact time of 4.009 kg‐cat . h/kgCH4. A maximum of 46 % CH4 conversion was achieved at 1023 K with a contact time of 0.134 kg‐cat . h/kgCH4. Higher CH4 and CO2 conversion were achieved with an excellent H2 and CO yield due to the RWGS reaction with increased metal (Ni) loading (10–30 wt . %). When the reactant partial pressure (CO2) changed from 0.1–0.3, the CH4 conversion increased whereas CO2 conversion decreased. FESEM images revealed the formation of whisker‐like carbon fibers for all loadings. For the best syngas output and stability in a Ni‐based catalyst, a combination of a basic support (alumina) at a higher contact time (~4.009 kg‐cat . h/kgCH4) and a CO2/CH4 ratio of 1–1.5 at a moderate temperature of 873 K may provide best CO2 adsorption with minimal coking.
Nanoencapsulated MgBu2@ZIF‐67 to Construct High Loading Mg‐Co@C Nanocomposites: Breaking Through the Barrier of Room Temperature Onset Dehydrogenation
Authors: Xing Xiaofei , Zhang Xinjia , Wei Mingxing , Zhang Zhao , Cao BoYuan , Liu Tong 
Published: July 2024

AbstractThe synergies of nanoconfinement and catalysis is an effective strategy to improve the kinetic and thermodynamic properties of Mg‐based materials. However, obtaining Mg‐based materials with high loading, anti‐aggregation, and containing nanocatalysts to achieve dehydrogenation at room temperature remains a huge challenge. Herein, a novel and universal preparation strategy for Mg‐Co@C nanocomposites with 9.5 nm Mg nanoparticles and 9.4 nm Co nanocatalysts embedded in carbon scaffold is reported. The 9.3 nm MgBu2 nanosheets precipitated by solvent displacement are encapsulated in ZIF‐67 to prepare MgBu2@ZIF‐67 precursors, then removing excess MgBu2 on the precursor surface and pyrolysis to obtain Mg‐Co@C. It is worth noting that the Mg loading rate of Mg‐Co@C is as high as rare 69.7%. Excitingly, the Mg‐Co@C begins to dehydrogenate at room temperature with saturate capacity of 5.1 wt.%. Meanwhile, its dehydrogenation activation energy (Ea(des) = 68.8 kJ mol−1) and enthalpy (ΔH(des) = 61.6 kJ mol−1) significantly decrease compared to bulk Mg. First principles calculations indicate that the hydrogen adsorption energy on the Mg2CoH5 surface is only −0.681 eV. This work provides a universally applicable novel method for the preparation of nanoscale Mg‐based materials with various nanocatalysts added, and provides new ideas for Mg‐based materials to achieve room temperature hydrogen storage.
Anchoring Ni(OH)2‐CeOx Heterostructure on FeOOH‐Modified Nickel‐Mesh for Efficient Alkaline Water‐Splitting Performance with Improved Stability under Quasi‐Industrial Conditions
Authors: Yaseen Waleed , Xie Meng , Yusuf Bashir Adegbemiga , Meng Suci , Khan Iltaf , Xie Jimin , Xu Yuanguo 
Published: July 2024

AbstractDeveloping low‐cost and industrially viable electrode materials for efficient water‐splitting performance and constructing intrinsically active materials with abundant active sites is still challenging. In this study, a self‐supported porous network Ni(OH)2‐CeOx heterostructure layer on a FeOOH‐modified Ni‐mesh (NiCe/Fe@NM) electrode is successfully prepared by a facile, scalable two‐electrode electrodeposition strategy for overall alkaline water splitting. The optimized NiCe0.05/Fe@NM catalyst reaches a current density of 100 mA cm−2 at an overpotential of 163 and 262 mV for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER), respectively, in 1.0 m KOH with excellent stability. Additionally, NiCe0.05/Fe@NM demonstrates exceptional HER performance in alkaline seawater, requiring only 148 mV overpotential at 100 mA cm−2. Under real water splitting conditions, NiCe0.05/Fe@NM requires only 1.701 V to achieve 100 mA cm−2 with robust stability over 1000 h in an alkaline medium. The remarkable water‐splitting performance and stability of the NiCe0.05/Fe@NM catalyst result from a synergistic combination of factors, including well‐optimized surface and electronic structures facilitated by an optimal Ce ratio, rapid reaction kinetics, a superhydrophilic/superaerophobic interface, and enhanced intrinsic catalytic activity. This study presents a simple two‐electrode electrodeposition method for the scalable production of self‐supported electrocatalysts, paving the way for their practical application in industrial water‐splitting processes.
Teacher curricular sensemaking: Revealing salient moments of a science teacher's (un)certainty in relation to opportunities for students' scientific sensemaking
Authors: Andersen Sage , González‐Howard María , Pérez Karina Méndez 
Published: July 2024

AbstractThis study explored a middle school science teacher's curricular sensemaking in interaction with their use of an educative storyline curriculum, aligned to the Next Generation Science Standards, that was intentionally designed for more opportunities for students' scientific sensemaking. Using a phenomenological case study methodology, we examined how the focal teacher perceived and resolved (un)certainties in their understanding that emerged in their interaction with the curriculum (i.e., their curricular sensemaking), and how the teachers' curricular sensemaking impacted opportunities for students' scientific sensemaking. Findings served to expand our notions of how teachers engage in curricular sensemaking, when this sensemaking occurs, and what teachers make sense of as they experience a new, reform‐oriented curriculum for the first time. In particular, the focal teacher found two types of (un)certainty to be salient at various time points during his curriculum use: (un)certainty around students' scientific sensemaking through particular science practices and (un)certainty about how to navigate the storyline curriculum using students' ideas to drive learning forward. Cutting across these types of (un)certainty, our findings suggest the need to (1) support teachers in problematizing their own understandings about particular science practices and the extent to which their previous instruction aligns with reform‐oriented conceptualizations of those practices, (2) build teachers' capacity to differentiate between various causes of student discomfort and uncertainty so that students' needs and scientific sensemaking goals can be attended to simultaneously, and (3) provide teachers with opportunities to consider how they might use a variety of participation structures to move learning forward while preserving students' rights and responsibilities for the scientific sensemaking.