bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural and photoluminescence investigation of Y2O3:Sm3+ nano‐powders: Organic agent's effect
Authors: Lamiri Lyes , Kahouadji Badis , Ilham Oulkhiari , Zoukel Abdelhalim , Benchallal Lotfi , Ouhenia Salim , Souici Abdelhafid , Boudjouan Fares , Mebarki Lamine , Meriem Bachiri , Chabane Khalida , Lakhdar Guerbous , Samah Madani 
Published: April 2024

AbstractIn this article, the authors delve into the synthesis of Y2O3:Sm3+ nanopowders using the sol–gel method, employing organic agents such as ethylene glycol (EG) and polyethylene glycol (PEG). This thorough investigation focuses on the structural, morphological, and photoluminescence characteristics of these nanopowders, with particular consideration for their potential applications in the field of optical devices. X‐ray diffraction patterns indicate that all powders crystallize in pure cubic phases (Ia‐3). Transmission electron microscopy (TEM) analysis reveals the presence of particles with dimensions less than 70 nm. Specifically, morphological and structural data suggest that the crystallite size of nanopowders prepared with PEG exceeds that of nanopowders prepared with EG. In exploring the photoluminescence properties, the emission spectra of the powders, recorded at λem = 600 nm, exhibit two absorption bands attributed to the charge transfer state (CTS) from O2− → Sm3+, with a maximum absorption at 223 nm, and to the intraconfigurational transition 4f5‐4f5 of Sm3+. A red/orange emission, attributed to the 4G5/2 → 6H7/2 transition, predominates under these conditions. A significant improvement in the intensity of photoluminescence is notably observed in samples prepared with organic agents compared to those prepared without agents. Finally, chromatic coordinates underscore the strong potential of Y2O3:Sm3+ nanopowders as promising phosphors for lighting applications.
Preparation and corrosion protection of polypyrrole/SiO2 nanocomposite doped with 3‐nitrosalicylic acid on aluminum
Authors: Van Khoe Le , Hung Ha Manh , Thuy Hoang Thi , Binh Pham Huy , Anh Bui Tuan , Duc Le Minh , Huong Nguyen Thi , Oanh Doan Thi Yen , Thai Nguyen Xuan , Trung Vu Quoc 
Published: April 2024

AbstractPolypyrrole/SiO2 nanocomposite doped with 3‐nitrosalicylic acid was synthesized in three concentrations of 3‐nitrosalicylic acid: 0.01 m, 0.005 m, and 0.0025 m. FTIR spectroscopy, thermogravimetric analysis (TGA), Raman scattering spectroscopy, and FESEM imaging further assisted in determining the shape and structure of the polypyrrole/nanocomposite product. The aluminum protection arrangement of the paint film comprising polypyrrole/SiO2 nanocomposite doped with 3‐nitrosalicylic acid was proven by electrochemical methods. The salt spray test results also demonstrated the protective efficacy of the paint film comprising polypyrrole/SiO2 nanocomposite doped with 3‐nitrosalicylic acid to suppress corrosion. The best corrosion prevention results were obtained with a polypyrrole/SiO2 nanocomposite dispersion paint film doped with 0.01 m 3‐nitrosalicylic acid at a concentration of 2%.
Computation for cognitive science: Analog versus digital
Authors: Maley Corey J. 
Published: April 2024

AbstractCognitive science was founded on the idea that the mind/brain can be understood in computational terms. While computational modeling in science is ubiquitous, cognitive science takes the stronger stance that the mind/brain literally performs computations. Moreover, performing computations is crucial to explaining what the mind/brain does, qua mind/brain. Unfortunately, most scientists fail to consider analog computation as a legitimate and theoretically useful type of computation in addition to digital computation; to the extent that analog computation is acknowledged, it is mostly based on a simplistic and incomplete understanding. Taking computation to consist of only one type (i.e., digital) while ignoring another, interestingly distinct type (i.e., analog) leads to an impoverished understanding of what it could mean for minds/brains to compute. A full appreciation and understanding of analog computation—particularly in relation to digital computation—allows researchers to develop computational frameworks and hypotheses in new and exciting ways. Thus, somewhat counterintuitively, looking to the once‐dominant computing paradigm of yesteryear can provide novel computational ways of thinking about the mind and brain.This article is categorized under:
Philosophy > Foundations of Cognitive Science
Effect of drying methods on free and bound phenolic compounds, antioxidant capacities, and bioaccessibility of Cornelian cherry
Authors: Bayram Hatice Merve , Ozkan Kubra , Ozturkcan Arda , Sagdic Osman , Gunes Esra , Karadag Ayse 
Published: April 2024

AbstractCornus mas L. (Cornelian cherry, CM) fruits were dehydrated by solar-drying (SD) and freeze-drying (FD), and in addition to sugar and mineral contents, the free and insoluble-bound phenolics were determined in fresh and dried fruits. After subjecting the sample to simulated in vitro digestion, the change of free and bound phenolics at gastric and intestinal digestion steps was evaluated in fresh and dried CM fruits. In fresh CM fruits, the total phenolic content (TPC) was dominated by the bound fraction, whereas the contribution of free phenolics to the total content (free + bound) became more dominant (731–1439 mg GAE/100 g dw) in the dried fruits. The bioaccessibility (BI%) of TPC from fresh CM after digestion was 193%, whereas it was 18.60 and 48.02% for SD and FD fruits, respectively. The contribution free fraction to the total TPC value was around 28% in nondigested fresh samples and increased to 94% in digested samples; however, in dried samples, it was 64% prior to digestion and only increased to 70% in digested samples. A total of 17 phenolic compounds were identified in CM fruits: chlorogenic acid, caffeic acid, epicatechin, quercetin, cyanidin-3-O-glucoside, and pelargonidin 3-O-glucoside were only detected in the free fraction; gallic acid, vanillic acid, ferulic acid, and kaempferol were detected in higher amounts in the bound fraction. The quantity of detected phenolics in the nondigested sample generally decreased from the gastric to the intestinal stage of digestion. The release of phenolics from the fruit matrix and their degradation occurred simultaneously during digestion, and this could be affected by the state of the fruit, e.g., fresh or dried.
Graphical abstract
Antibody-independent surface plasmon resonance assays for influenza vaccine quality control
Authors: Serafin Benjamin , Kamen Amine , de Crescenzo Gregory , Henry Olivier 
Published: April 2024

Abstract
Surface plasmon resonance (SPR)-based biosensors have emerged as a powerful platform for bioprocess monitoring due to their ability to detect biointeractions in real time, without the need for labeling. Paramount for the development of a robust detection platform is the immobilization of a ligand with high specificity and affinity for the in-solution species of interest. Following the 2009 H1N1 pandemic, much effort has been made toward the development of quality control platforms for influenza A vaccine productions, many of which have employed SPR for detection. Due to the rapid antigenic drift of influenza’s principal surface protein, hemagglutinin, antibodies used for immunoassays need to be produced seasonally. The production of these antibodies represents a 6–8-week delay in immunoassay and, thus, vaccine availability. This review focuses on SPR-based assays that do not rely on anti-HA antibodies for the detection, characterization, and quantification of influenza A in bioproductions and biological samples.

Key points
• The single radial immunodiffusion assay (SRID) has been the gold standard for the quantification of influenza vaccines since 1979. Due to antigenic drift of influenza’s hemagglutinin protein, new antibody reagents for the SRID assay must be produced each year, requiring 6–8 weeks. The resulting delay in immunoassay availability is a major bottleneck in the influenza vaccine pipeline. This review highlights ligand options for the detection and quantification of influenza viruses using surface plasmon resonance biosensors.
Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction
Authors: Ensle Falko , Kaniewska Malwina , Lohezic Maelene , Guggenberger Roman 
Published: April 2024

Abstract
Objectives
To assess a deep learning-based reconstruction algorithm (DLRecon) in zero echo-time (ZTE) MRI of the shoulder at 1.5 Tesla for improved delineation of osseous findings.

Methods
In this retrospective study, 63 consecutive exams of 52 patients (28 female) undergoing shoulder MRI at 1.5 Tesla in clinical routine were included. Coronal 3D isotropic radial ZTE pulse sequences were acquired in the standard MR shoulder protocol. In addition to standard-of-care (SOC) image reconstruction, the same raw data was reconstructed with a vendor-supplied prototype DLRecon algorithm. Exams were classified into three subgroups: no pathological findings, degenerative changes, and posttraumatic changes, respectively. Two blinded readers performed bone assessment on a 4-point scale (0-poor, 3-perfect) by qualitatively grading image quality features and delineation of osseous pathologies including diagnostic confidence in the respective subgroups. Quantitatively, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of bone were measured. Qualitative variables were compared using the Wilcoxon signed‐rank test for ordinal data and the McNemar test for dichotomous variables; quantitative measures were compared with Student’s t-testing.

Results
DLRecon scored significantly higher than SOC in all visual metrics of image quality (all, p < 0.03), except in the artifact category (p = 0.37). DLRecon also received superior qualitative scores for delineation of osseous pathologies and diagnostic confidence (p ≤ 0.03). Quantitatively, DLRecon achieved superior CNR (95 CI [1.4–3.1]) and SNR (95 CI [15.3–21.5]) of bone than SOC (p < 0.001).

Conclusion
DLRecon enhanced image quality in ZTE MRI and improved delineation of osseous pathologies, allowing for increased diagnostic confidence in bone assessment.
Limited prognostic role of routine serum markers (AP, CEA, LDH and NSE) in oligorecurrent prostate cancer patients undergoing PSMA-radioguided surgery
Authors: Mehring Gisa , Steinbach Christina , Pose Randi , Knipper Sophie , Koehler Daniel , Werner Stefan , Riethdorf Sabine , von Amsberg Gunhild , Ambrosini Francesca , Maurer Tobias 
Published: April 2024

Abstract
Introduction
We evaluated the prognostic role of pre-salvage prostate-specific membrane antigen–radioguided surgery (PSMA-RGS) serum levels of alkaline phosphatase (AP), carcinoembryonic antigen (CEA), lactate dehydrogenase (LDH), and neuron-specific enolase (NSE).

Materials and methods
Patients who consecutively underwent PSMA-RGS for prostate cancer (PCa) oligorecurrence between January 2019 and January 2022 were selected. Biomarkers were assessed one day before surgery. Cox regression and logistic regression models tested the relationship between biochemical recurrence-free survival (BFS), 6- and 12-month biochemical recurrence (BCR), and several independent variables, including biomarkers.

Results
153 consecutive patients were analyzed. In the univariable Cox regression analysis, none of the biomarkers achieved predictor status (AP: hazard ratio [HR] = 1.03, 95% CI 0.99, 1.01; p = 0.19; CEA: HR = 1.73, 95% CI 0.94, 1.21; p = 0.34; LDH: HR = 1.01, 95% CI 1.00, 1.01; p = 0.05; NSE: HR = 1.02, 95% CI 0.98, 1.06; p = 0.39). The only independent predictor of BFS was the number of positive lesions on PSMA PET (HR = 1.17, 95% CI 1.02, 1.30; p = 0.03).
The number of positive lesions was confirmed as independent predictor for BCR within 6 and 12 months (BCR < 6 months: odds ratio [OR] = 1.1, 95% CI 1.0, 1.3; p = 0.04; BCR < 12 months: OR = 1.1, 95% CI 1.0, 1.3; p = 0.04).

Conclusion
The assessment of AP, CEA, LDH, and NSE before salvage PSMA-RGS showed no prognostic impact. Further studies are needed to identify possible predictors that will optimize patient selection for salvage PSMA-RGS.
Can structure predict function at individual level in the human connectome?
Authors: Smolders Lars , De Baene Wouter , Rutten Geert-Jan , van der Hofstad Remco , Florack Luc 
Published: April 2024

AbstractSeveral studies predicting Functional Connectivity (FC) from Structural Connectivity (SC) at individual level have been published in recent years, each promising increased performance and utility. We investigated three of these studies, analyzing whether the results truly represent a meaningful individual-level mapping from SC to FC. Using data from the Human Connectome Project shared accross the three studies, we constructed a predictor by averaging FC of training data and analyzed its performance in the same way. In each case, we found that group average FC is an equivalent or better predictor of individual FC than the predictive models in terms of raw prediction performance. Furthermore, we showed that additional analyses performed by the authors of the three studies, in which they attempt to show that their predicted FC has value beyond raw prediction performance, could also be reproduced using the group average FC predictor. This makes it unclear whether any of the three methods represent a meaningful individual-level predictive model. We conclude that either the methods are not appropriate for the data, that the sample size is too small, or that the data does not contain sufficient information to learn a mapping from SC to FC. We advise future individual-level studies to explicitly report results in comparison to the performance of the group average, and carefully demonstrate that their predictions contain meaningful individual-level information. Finally, we believe that investigating alternatives for the construction of SC and FC may improve the chances of developing a meaningful individual-level mapping from SC to FC.
Minimally invasive versus open multivisceral resection for rectal cancer clinically invading adjacent organs: a propensity score-matched analysis
Authors: Abe Shinya , Nozawa Hiroaki , Sasaki Kazuhito , Murono Koji , Emoto Shigenobu , Yokoyama Yuichiro , Matsuzaki Hiroyuki , Nagai Yuzo , Shinagawa Takahide , Sonoda Hirofumi , Ishihara Soichiro 
Published: April 2024

Abstract
Background
Minimally invasive surgery (MIS), such as laparoscopic and robotic surgery for rectal cancer, is performed worldwide. However, limited information is available on the advantages of MIS over open surgery for multivisceral resection for cases clinically invading adjacent organs.

Patients and methods
This was a retrospective propensity score-matching study of consecutive clinical T4b rectal cancer patients who underwent curative intent surgery between 2006 and 2021 at the University of Tokyo Hospital.

Results
Sixty-nine patients who underwent multivisceral resection were analyzed. Thirty-three patients underwent MIS (the MIS group), while 36 underwent open surgery (the open group). Twenty-three patients were matched to each group. Conversion was required in 2 patients who underwent MIS (8.7%). R0 resection was achieved in 87.0% and 91.3% of patients in the MIS and open groups, respectively. The MIS group had significantly less blood loss (170 vs. 1130 mL; p < 0.0001), fewer Clavien–Dindo grade ≥ 2 postoperative complications (30.4% vs. 65.2%; p = 0.0170), and a shorter postoperative hospital stay (20 vs. 26 days; p = 0.0269) than the open group. The 3-year cancer-specific survival rate, relapse-free survival rate, and cumulative incidence of local recurrence were 75.7, 35.9, and 13.9%, respectively, in the MIS group and 84.5, 45.4, and 27.1%, respectively, in the open group, which were not significantly different (p = 0.8462, 0.4344, and 0.2976, respectively).

Conclusion
MIS had several short-term advantages over open surgery, such as lower complication rates, faster recovery, and a shorter hospital stay, in rectal cancer patients who underwent multivisceral resection.

Graphical abstract
Water Content Evolution in the EDZ of Opalinus Clay: A Methodic Approach for a Comparative Interpretation of Measurements and Modelling
Authors: Ziefle Gesa , Cajuhi Tuanny , Costabel Stephan , Furche Markus , Maßmann Jobst 
Published: April 2024

AbstractIn the Mont Terri Rock Laboratory (Switzerland), an interdisciplinary examination program is carried out to increase knowledge about coupled hydro-mechanical effects in Opalinus Clay, which are of significant interest regarding the stability and integrity of a potential storage facility for high-level radioactive waste. This article focuses on the characterization of the claystone in the near field of excavations and related hydraulic effects due to excavation and ventilation. Electrical resistivity tomography (ERT) is applied to characterize the OPA: Several open fractures correlate with regions of high resistivity values, indicating potential preferential flow paths that are relevant for transport processes. Due to the combined interpretation of ERT long-term monitoring and seasonally repeated nuclear magnetic resonance (NMR) measurements, a relationship between electrical resistivity and water content can be established, resulting also in a time-dependent map of the water content around excavations with different climatic conditions. The statistical interpretation of these measurements indicates the existence of small-scale singularities in contrast to dominating, more homogeneous zones. The presented approach leads to a better process understanding of these heterogeneous near field effects and provides a valuable basis for a pragmatic approach to safety assessment.
Improving pressure drop predictions for R134a evaporation in corrugated vertical tubes using a machine learning technique trained with the Levenberg–Marquardt method
Authors: Çolak Andaç Batur , Bacak Aykut , Karakoyun Yakup , Koca Aliihsan , Dalkilic Ahmet Selim 
Published: April 2024

AbstractThe present investigation utilized a machine learning structure to ascertain the pressure drop in vertically positioned, corrugated copper tubes during the evaporation process of R134a. The evaporator was a counter-flow heat exchanger, in which R134a flowed in the inner corrugated tube and hot water flowed in the smooth annulus. Different evaporation mass fluxes (195–406 kg m-2 s-1) and heat fluxes (10.16–66.61 kW m-2) were used with artificial neural networks at different corrugation depths. A multilayer perceptron artificial neural network model with 13 neurons in the hidden layer was proposed. Tan-Sig and Purelin transfer functions were used in the network model developed with the Levenberg–Marquardt training algorithm. The dataset, which consisted of 252 data points, related to the evaporation process, was divided into training (70%), validation (15%), and testing (15%) groups in an arbitrary manner. The artificial neural network model has been demonstrated to effectively forecast the pressure drop that occurs during evaporation. The mean squared error was computed for the ΔP values observed during the evaporation processes, yielding a value of 1.96E-03. The artificial neural network exhibited a high correlation coefficient value of 0.94479. The estimation fluctuations exhibited a range of ± 10%, whereas the experimental and anticipated ΔP data demonstrated a divergence of ± 10.3%.
CFDepthNet: Monocular Depth Estimation Introducing Coordinate Attention and Texture Features
Authors: Wei Feng , Zhu Jie , Wang HuiBin , Shen Jie 
Published: April 2024

AbstractHandling the depth estimation of low-texture regions using photometric error loss is a challenge due to the difficulty of achieving convergence due to the presence of multiple local minima for pixels in low-texture regions (or even no-texture regions). In this paper, based on the photometric loss, we also introduce texture feature metric loss as a constraint and combine the coordinate attention mechanism to improve the depth map's texture quality and edge detail. This paper uses a simple yet compact network structure, a unique loss function, and a relatively flexible embedded attention module, which is more effective and easier to arrange in robotic platforms with weak arithmetic power. The tests show that our network structure not only shows high quality and state-of-the-art results on the KITTI dataset, but the same training results also perform well on the cityscapes and Make3D datasets.
Papr reduction through Gaussian pre-coding in DCO-OFDM systems
Authors: Cinemre Idris , Aydin Volkan , Hacioglu Gokce 
Published: April 2024

AbstractVisible light communication (VLC) utilizes commercially available light-emitting diodes (LEDs) for short-distance wireless data transmission, aligning with lighting standards for indoor wireless access. The inherent challenge of achieving high data rates in VLC due to the limited spectral bandwidth of white LEDs has led to the adoption of orthogonal frequency division multiplexing (OFDM). However, conventional OFDM presents issues with peak-to-average power ratio (PAPR), pushing LEDs into a nonlinear zone, resulting in energy inefficiencies and signal distortion that degrades the bit error rate (BER). The study focuses on pre-coding within DC-biased optical OFDM (DCO-OFDM) using a Gaussian matrix (GM) for PAPR reduction. The proposed Gaussian pre-coding method demonstrates superior PAPR performance compared to conventional discrete cosine transform (DCT) pre-coding method, especially when integrated with $$\mu$$
μ
-Law companding. Simulation results indicate that increasing the number of candidate GMs enhances PAPR performance, albeit with increased system complexity. The combination of DCT and Gauss pre-coding with $$\mu$$
μ
-Law companding exhibits a 2 dB improvement in PAPR, though at the expense of BER performance.
The Evolution of Body Size in Terrestrial Tetrapods
Authors: Caron Fernanda S. , Pie Marcio R. 
Published: April 2024

AbstractBody size is a fundamental trait in evolutionary and ecological research, given that it varies allometrically with several relevant features, such as life-history and physiological traits. Although previous studies uncovered many intriguing patterns, finding general principles of body size evolution in vertebrates has been elusive. In this study, we take advantage of recent advances in phylogenetic comparative methods and the availability of large-scale datasets to explore body size evolution in terrestrial vertebrates. Ancestral character estimation and disparity-through-time plots showed considerable variation in body size evolution, both across lineages and over time. In addition, regardless of the corresponding taxon, posterior predictive simulation demonstrated several consistent ways in which body size evolution in those groups departed from constant-rate models, namely: (1) there was considerable rate heterogeneity within each taxon, (2) there was a positive relationship between body size and its rate of evolution (i.e., large-bodied animals evolved faster than small-bodied ones), and (3) faster evolutionary rates near the present. Finally, geographical mapping of body mass and evolutionary rates revealed some similarities across taxa, but no clear latitudinal trends. Overall, these results indicate that there may be general patterns in the body size evolution on large scales in terrestrial vertebrates, with some intriguing taxon-specific differences.