bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving material properties of a poloxamer P407 hydrogel‐based hydroxyapatite bone substitute material by adding silica—A comparative in vivo study
Authors: Kämmerer Peer W. , Heimes Diana , Zaage Franziska , Ganz Cornelia , Frerich Bernhard , Gerber Thomas , Dau Michael 
Published: May 2024

AbstractThe structure and handling properties of a P407 hydrogel‐based bone substitute material (BSM) might be affected by different poloxamer P407 and silicon dioxide (SiO2) concentrations. The study aimed to compare the mechanical properties and biological parameters (bone remodeling, BSM degradation) of a hydroxyapatite: silica (HA)‐based BSM with various P407 hydrogels in vitro and in an in vivo rat model. Rheological analyses for mechanical properties were performed on one BSM with an SiO2‐enriched hydrogel (SPH25) as well on two BSMs with unaltered hydrogels in different gel concentrations (PH25 and PH30). Furthermore, the solubility of all BSMs were tested. In addition, 30 male Wistar rats underwent surgical creation of a well‐defined bone defect in the tibia. Defects were filled randomly with PH30 (n = 15) or SPH25 (n = 15). Animals were sacrificed after 12 (n = 5 each), 21 (n = 5 each), and 63 days (n = 5 each). Histological evaluation and histomorphometrical quantification of new bone formation (NB;%), residual BSM (rBSM;%), and soft tissue (ST;%) was conducted. Rheological tests showed an increased viscosity and lower solubility of SPH when compared with the other hydrogels. Histomorphometric analyses in cancellous bone showed a decrease of ST in PH30 (p = .003) and an increase of NB (PH30: p = .001; SPH: p = .014) over time. A comparison of both BSMs revealed no significant differences. The addition of SiO2 to a P407 hydrogel‐based hydroxyapatite BSM improves its mechanical stability (viscosity, solubility) while showing similar in vivo healing properties compared to PH30. Additionally, the SiO2‐enrichment allows a reduction of poloxamer ratio in the hydrogel without impairing the material properties.
Multidimensional Fiber‐to‐Chip Optical Processing Using Photonic Integrated Circuits
Authors: Wan Yuanjian , Cao Xiaoping , Cai Chengkun , Li Kang , Yang Min , Yan Guofeng , Zhao Weike , Peng Yingying , Shi Yaocheng , Dai Daoxin , Wang Jian 
Published: May 2024

AbstractMultidimensional multiplexing technologies have been proven to be a promising scheme to meet the demands of high‐capacity optical interconnects and optical processing networks. However, challenges remain to realize multidimensional hybrid multiplexing data transmission and signal processing between few‐mode fiber transmission links and on‐chip optical processing networks, since the optical coupling between fiber and chip is almost exclusively in the single‐mode regime. Here, a multidimensional fiber‐to‐chip optical processing system is proposed and demonstrated for hybrid wavelength‐, mode‐, and polarization‐division multiplexing signals, where multidimensional coupling between few‐mode fiber transmission link and on‐chip multi‐mode processing network is realized by using a 3D photonic integrated (de)multiplexers on a glass chip as well as 2D photonic integrated (de)multiplexers on a silicon chip, and the on‐chip multidimensional optical processing network composed by parallel cascaded micro‐ring resonator array performs a function of reconfigurable optical add/drop multiplexer. By operating wavelength‐division multiplexing in conjunction with mode‐division multiplexing and polarization‐division multiplexing, the communication bandwidth of fiber‐to‐chip optical processing systems can be further scaled.
MPIGAN: An end‐to‐end deep based generative framework for high‐resolution magnetic particle imaging reconstruction
Authors: Zhao Jing , Shen Yusong , Liu Xinyi , Hou Xiaoyuan , Ding Xuetong , An Yu , Hui Hui , Tian Jie , Zhang Hui 
Published: May 2024

AbstractBackgroundMagnetic particle imaging (MPI) is a recently developed, non‐invasive in vivo imaging technique to map the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIONs) in animal tissues with high sensitivity and speed. It is a challenge to reconstruct images directly from the received signals of MPI device due to the complex physical behavior of the nanoparticles. System matrix and X‐space are two commonly used MPI reconstruction methods, where the former is extremely time‐consuming and the latter usually produces blurry images.PurposeCurrently, we proposed an end‐to‐end machine learning framework to reconstruct high‐resolution MPI images from 1‐D voltage signals directly and efficiently.MethodsThe proposed framework, which we termed “MPIGAN”, was trained on a large MPI simulation dataset containing 291 597 pairs of high‐resolution 2‐D phantom images and each image's corresponding voltage signals, so that it was able to accurately capture the nonlinear relationship between the spatial distribution of SPIONs and the received voltage signal, and realized high‐resolution MPI image reconstruction.ResultsExperiment results showed that, MPIGAN exhibited remarkable abilities in high‐resolution MPI image reconstruction. MPIGAN outperformed the traditional methods of system matrix and X‐space in recovering the fine‐scale structure of magnetic nanoparticles’ spatial distribution and achieving enhanced reconstruction performance in both visual effects and quantitative assessments. Moreover, even when the received signals were severely contaminated with noise, MPIGAN could still generate high‐quality MPI images.ConclusionOur study provides a promising AI solution for end‐to‐end, efficient, and high‐resolution magnetic particle imaging reconstruction.
Online detection of the incidence via transfer learning
Authors: Yu Miaomiao , Wang Zhijun , Wu Chunjie 
Published: May 2024

AbstractThe counting process has abundant applications in reality, and Poisson process monitoring actually has received extensive attention and research. However, conventional methods experience poor performance when shifts appears early and only small number of historical observations in Phase I can be used for estimation. To overcome it, we creatively propose a new online monitoring algorithm under the transfer learning framework, which utilizes the information from observations of additional data sources so that the target process can be described better. By making the utmost of the somewhat correlated data from other domains, which is measured by a bivariate Gamma distributed statistic presented by us, the explicit properties (e.g., posterior probability mass function, posterior expectation, and posterior variance) are also strictly proved. Furthermore, based on the above theoretical results, we design two computationally efficient control schemes in Phase II, that is a control chart based on the cumulative distribution function for large shifts and an exponentially weighted moving average control chart for small shifts. For a better understanding of the more practical applications and transferability matter, we provide some optimal values for parameter setting. Extensive numerical simulations and a case of skin cancer incidence in America verify the superiorities of our approach.
Targeting brain‐derived neurotrophic factor in the treatment of neurodegenerative diseases: A review
Authors: Wang Dong , Lang Zhi‐Chen , Wei Shi‐Nan , Wang Wei , Zhang Hao 
Published: May 2024

AbstractNeurodegenerative diseases, marked by the gradual death of neurons, present a significant and growing public health challenge. Brain‐derived neurotrophic factor (BDNF) is crucial for the survival, development, and synaptic plasticity of neurons. Studies have consistently demonstrated that perturbed BDNF communication pathways are associated with the development and progression of neurodegenerative conditions, underscoring their potential as therapeutic targets. This review aimed to summarize the existing findings regarding BDNF expression, metabolism, and signaling transduction. Furthermore, we reviewed the intricate roles of BDNF signaling pathways in neurodegenerative diseases, elucidating their contributions to disease onset and progression. The latest advancements in targeting BDNF for the treatment of neurodegenerative diseases, including the development of small molecules, nucleic acid‐based therapeutics, and antibody‐based approaches, were also summarized. Despite recent strides, challenges persist, including a lack of comprehensive understanding of BDNF modulation across diverse neurodegenerative contexts and the absence of clinically approved BDNF‐targeted drugs.
Income and money donation in middle‐income countries: Evidence from Brazil
Authors: de Jancso Fabiani Paula Maria , de Lucca Silveira Marcos Paulo , Pinheiro Flavio 
Published: May 2024

AbstractIncome plays a crucial role in shaping pro‐social behavior, particularly in the context of charitable giving. However, existing literature reveals mixed findings when dealing with the nuances in this relationship. This study aims to evaluate the main hypotheses concerning the influence of income on charitable giving, drawing on data from a 2021 national survey with 2099 respondents in Brazil. This study contributes with new evidence to the topic within the context of a middle‐income Latin American country, an aspect often overlooked in previous studies. Our analysis focuses on how an individual's household income influences three key aspects: the likelihood of giving, the amount given, and the proportion of household income donated. The findings indicate that individuals from higher‐income households donate larger sums of money but the same proportion of income as other income households. Household income does not significantly affect the likelihood of donating or the proportion of income donated.
DFT and TD‐DFT Studies of D‐π‐A Organic Dye Molecules with Different Spacers for highly Efficient Reliable Dye Sensitized Solar Cells
Authors: Surendra Babu Nambury , Kuot Malang Maluak Paul , Abubakari Ismail 
Published: May 2024

AbstractThis study focuses on six D‐π‐A systems, utilizing diverse π‐spacers as bridges. Comprehensive analysis through Density Functional Theory (DFT) and Time‐dependent Functional Theory (TD‐DFT) methods at B3LYP using 6‐31G (d.p) basis set explores geometrical, electrical, optical, photovoltaic, and absorption properties. EHOMO, ELUMO, and energy gap (Egap), for all of these dyes have been determined and discussed using ground state optimization. TD‐DFT calculates optical properties, unveiling enhanced excitation energies and HOMO‐LUMO energy levels, indicative of improved electron injection and dye regeneration processes. Examination of energy gap, open‐circuit voltage (VOC), free energy change (ΔGinject), light harvesting efficiency (LHE), and absorption spectra reveals D4 dye′s lower Egap and robust absorption in the visible spectrum. Molecular tailoring emerges as a promising technique for optimizing D‐π‐A sensitizer design, offering potential advancements in DSSCs applications.
Comparing Satisfaction Among Providers Treating Both Pediatric and Adult Otolaryngology Patients
Authors: Huang Emily Y. , Park Ryan , Park Erica , Firpo Matthew A. , Park Albert H. 
Published: May 2024

AbstractObjectiveAlthough pediatric otolaryngology providers are reported to garner lower patient satisfaction than adults, this difference is not well characterized. This study investigates whether patient satisfaction differences exist in providers who treat both pediatric and adult patients.Study DesignRetrospective review.SettingTertiary medical center.MethodsIn this cross‐sectional study, Press Ganey surveys (PGS) completed by patients or parents on their first‐time visit with 5 general otolaryngology providers from July 2014 to March 2022 were analyzed. Surveys were categorized by child (<18 years old) or adult and consisted of 14 items including 6 service domains of access, visit, nursing, provider, personal issues, and assessment. Analysis was performed with Walsh's t test and analysis of variance. Multivariable logistic regression, controlling for wait times and provider, evaluated the likelihood of highest satisfaction scores (HI‐SCORES) based on age.ResultsA total of 2549 patients (135 pediatric, 2414 adults) completed the PGS on their initial visit. There was no significant difference in the mean overall satisfaction scores between pediatric and adult patients. Further analysis of service domains among pediatric patients found the mean score in the access domain to be higher for the 6‐ to 11‐year‐old age group (0‐5 years old: 85.5 ± 20.5 [mean ± SD], 6‐11 years old: 94.7 ± 11.5, 12‐17 years old: 87.3 ± 15.4, P = .03). Pediatric patients did not have a significantly higher likelihood (odds ratio = 1.1, 95% confidence interval: 0.8‐1.6, P > .05) of reporting HI‐SCORES compared to adults after covariate adjustment.ConclusionThere was no significant difference in patient satisfaction scores for providers who treat pediatric and adult patients utilizing the same facility and scheduling team.
Affect and satisfaction time dependency: An experience sampling study
Authors: Anić Petra , Tončić Marko 
Published: May 2024

AbstractThe aim of this study was to test the time dependency between affect and satisfaction on a momentary level. Ninety‐eight students participated in the study, using the experience sampling method. Affect and satisfaction scales were administered five times a day for 7 days via handheld devices, sampling the whole awake period with ratings approximately 3–4 h apart. The aim of this study was to examine the cross‐correlation between affect and satisfaction at the intra‐individual level and to test their temporal consistency via lagged cross‐correlations. On average, satisfaction was robustly associated with positive affect (PA; mean correlation 0.50) and negative affect (NA; mean correlation −0.38). The correlation of satisfaction with affect factors showed a consistent temporal dependency. Lag (i.e., the shift of one time series with respect to another) significantly affected the magnitude of the correlation coefficients of satisfaction with PA and NA (explaining almost half of the correlation variance). A significant affect–satisfaction cross‐correlation can be found when no lag is present. The introduction of a lag reduces the affect–satisfaction cross‐correlation to virtually zero. Research suggests that affect and satisfaction overlap at the momentary level, and the results of this study imply that they are also time‐dependent. These findings corroborate the idea that momentary satisfaction judgments are partially based on available emotional information, both in terms of intensity and temporal consistency.
RETRACTED: Evaluation of proteome dynamics: Implications for statistical confidence in mass spectrometric determination
Authors: Popova Inga , Savelyeva Ekaterina , Degtyarevskaya Tatyana , Babaskin Dmitrii , Vokhmintsev Andrei 
Published: May 2024

AbstractSingle‐cell proteomics is currently far less productive than other approaches. Still, the proteomic community is having trouble adapting to the limitation of having to examine fewer cells than they would like. Studies on a small number of cells should be carefully planned to maximize the chances of success in this situation. This study aims to determine how sample size and measurement speed (slope)/variation affect the accuracy of a protein proteome mass spectrometric determination. The determination accuracy was shown to increase, and the false positive rate was shown to decrease as the sample size increased from 7 to 100 cells and the measurement slope/variation (S/V) ratio increased from 1 to 6. Furthermore, it was discovered that the number of cells in the sample increased the accuracy of this estimate. Thus, for 100 cells, the measurement S/V ratio was typically estimated to be very close to the real‐world value, with a standard deviation of 0.35. For sample sizes from 7 to 100 cells, this accuracy was seen when calculating the measurement S/V ratio. The findings can help researchers plan experiments for mass spectroscopic protein proteome determination and other research purposes.
Molecular dynamics simulation study of post‐transition state bifurcation: A case study on the ambimodal transition state of dipolar/Diels–Alder cycloaddition
Authors: Murakami Tatsuhiro , Kikuma Yuya , Hayashi Daiki , Ibuki Shunichi , Nakagawa Shoto , Ueno Hinami , Takayanagi Toshiyuki 
Published: May 2024

AbstractThe potential energy surfaces for the reactions of 1,3‐butadiene with 2‐hydroxythioacrolein and 2‐aminoacrolein exhibit ambimodal transition states leading to both dipolar (4 + 3) and Diels–Alder (4 + 2) cycloaddition products, thereby demonstrating a post transition state bifurcation feature. We have investigated the bifurcation dynamics of these reactions using three molecular dynamics (MD) methods: quasi‐classical trajectory, classical MD, and ring‐polymer MD simulations. The trajectory calculations were performed with the semiempirical GFN2‐xTB method with the element‐specific parameters optimized to reproduce the density‐functional theory calculations. The effect of water solvation was examined using an implicit solvation model, revealing significant differences in bifurcation dynamic between gas‐phase and solution‐phase reactions. Nuclear quantum effects were found to play a crucial role in the proton‐transfer process from the (4 + 3) intermediate to the (4 + 3) product in the case of the 2‐aminoacrolein reaction.
Collaborative defense in the Arctic: Strengthening Norway's oil sector resilience through knowledge sharing and vigilance against drone threats
Authors: Steen Riana , Hansen Tommy B. 
Published: May 2024

AbstractNorway's oil sector faces significant security challenges due to rapid technological advancements and heightened geopolitical tensions, particularly concerning threats from Russian drones. The sector maintains a vigilant approach, continually monitoring and adapting to evolving threats. This study investigates strategies employed by sector companies to mitigate challenges, emphasizing collaboration, effective network utilization, and learning from past incidents to enhance operational resilience. Our analysis aligns with three thematic areas from the Generic Resilience Management Guidelines developed under the EU‐funded H2020 project DARWIN: enhancing coordination in emergency response operations, managing adaptive capacities, and updating procedures and checklists. The study underscores the role of task forces, interdisciplinary teams, and collaborative efforts among industry operators in enhancing adaptability to threats. Findings indicated that although a willingness to draw insights from past incidents exists, a predominant reactive approach to learning prevails. Furthermore, a culture of secrecy prevalent in the sector inhibits knowledge sharing, potentially challenging overall resilience. In this complex context, proactive and transparent security approaches are imperative for Norway's oil sector to enhance resilience. Organizations should adopt a dynamic, technology‐integrated risk management approach, involving continuous policy revision and stakeholder engagement, as suggested in contemporary resilience enhancement strategies.
A unified controller of global trajectory tracking and posture regulation for a car‐like mobile robot
Authors: Yan Kai , Ma Baoli 
Published: May 2024

SummaryThis work proposes a smooth time‐varying controller for trajectory tracking and posture regulation problems of car‐like mobile robots (CLMR). Currently, few studies focus on the control problems of CLMR's kinematic model. Global trajectory tracking or global posture stabilization controller for CLMR has not yet been proposed. In this study, we propose a global trajectory tracking controller for CLMR for the first time. By setting a specific reference trajectory, the controller is generalized to the posture stabilization task. Obstacle avoidance is also taken into consideration in posture stabilization task. Unlike the prototypical method of transforming the model into a nonholonomic chained‐form system, the proposed method is designed based on the original tracking error equation. Therefore our approach does not have singularities and has a global attraction region. Furthermore, the global convergence of the proposed controllers is strictly proved using the proof by contradiction and Barbalat's lemma. Finally, simulated and actual experiments on a car‐like robot demonstrate the effectiveness of the proposed control scheme.
Fish behavior at the horizontal screen of a novel shaft hydropower plant
Authors: Funk Nicole , Knott Josef , Pander Joachim , Geist Juergen 
Published: May 2024

AbstractPreventing fish entrainment during their downstream passage at hydropower plants remains a major challenge in reducing the ecological impacts of hydropower production. We investigated fish behavior at the world's first innovative shaft hydropower plant with its novel screen concept, aiming at reducing fish entrainment due to the fully horizontal arrangement of the screen and low vertical suction effects toward the turbine. Based on ARIS sonar recordings, we assessed whether fish could move unhindered across the turbine intake area toward the bypass corridors at the sluice gate for safe downstream passage. For a range of species (Anguilla anguilla, Barbus barbus, Thymallus thymallus, Salmo trutta, and Hucho hucho) and operation modes (high/low turbine load), we assessed behavioral patterns such as screen avoidance, dwelling behavior, and search behavior at the screen. Contrary to the engineers' expectations, the innovative screen arrangement neither guided the fish away from the turbine intake to the bypass corridors nor prevented them from swimming vertically into the turbine shaft. Rather, fish freely moved near the screen and avoidance behavior was only rarely observed. Both the dwelling and active search behavior, which was particularly evident in eel, are directly linked to an increased risk of screen passage and subsequent turbine‐related death or injuries. Our findings illustrate that consideration of fish behavior at turbine inlet structures is a crucial component which needs to be integrated with other variables such as fish mortality and injury patterns for a comprehensive evaluation and improvement of fish passage at hydropower plants.
M1 polarization induction by lead and amyloid peptides in microglial cells: Implications for neurodegeneration process
Authors: Lokesh Murumulla , Bandaru Lakshmi Jaya Madhuri , Rajanna Ajumeera , Dhayal Virendra Singh , Challa Suresh 
Published: May 2024

AbstractNeurodegeneration in conditions like Alzheimer's and Parkinson's disease is influenced by genetic and environmental factors. This study explores the potential neurodegenerative effects of lead (Pb) toxicity and amyloid beta peptides (Aβp 1–40 and Aβp 25–35) by promoting M1 polarization in microglial cells. To this end, we investigated and observed that IC50 concentrations of Pb (22.8 μM) and Aβp 25–35(29.6 μM). Our results demonstrated significant Pb uptake (31.13% at 25 μM Pb) and increased intracellular ROS levels (77.1%) upon treatment with Pb in combination of both Aβp 1–40 and Aβp 25–35. Protein carbonylation significantly increased (73.12 nmol/mL) upon treatment with Pb in combination of both Aβp 1–40 and Aβp 25–35, indicating oxidative damage and compromised cellular defenses against oxidative stress along with elevated DNA oxidative damage (164.9 pg/mL of 8‐OH‐dG) upon treatment with Pb in combination with both Aβp 1–40 and Aβp 25–35. Microglial polarization showed elevated M1 markers (inducible nitric oxide synthase and cyclooxygenase 2) and reduced M2 markers (arginase‐1 and cluster of differentiation 206), suggesting Pb's role in inducing neurodegenerative microglial polarization. These findings provide insights into the complex molecular events contributing to Pb‐induced neurotoxicity and neurodegenerative diseases.