bluuebunny/crossref_metadata_2025_split huggingface dataset:
HFpEF as systemic disease, insight from a diagnostic prediction model reminiscent of systemic inflammation and organ interaction in HFpEF patients
Authors: Zhou Rong , Xia Yi-Yuan , Li Zheng , Wu Li-Da , Shi Yi , Ling Zhi-Yu , Zhang Jun-Xia 
Published: March 2024

AbstractSystemic inflammation and reciprocal organ interactions are associated with the pathophysiology of heart failure with preserved ejection fraction (HFpEF). However, the clinical value, especially the diagnositc prediction power of inflammation and extra-cardiac organ dysfunction for HfpEF is not explored. In this cross-sectional study, 1808 hospitalized patients from January 2014 to June 2022 in ChiHFpEF cohort were totally enrolled according to inclusion and exclusion criteria. A diagnostic model with markers from routine blood test as well as liver and renal dysfunction for HFpEF was developed using data from ChiHFpEF-cohort by logistic regression and assessed by receiver operating characteristic curve (ROC) and Brier score. Then, the model was validated by the tenfold cross-validation and presented as nomogram and a web-based online risk calculator as well. Multivariate and LASSO regression analysis revealed that age, hemoglobin, neutrophil to lymphocyte ratio, AST/ALT ratio, creatinine, uric acid, atrial fibrillation, and pulmonary hypertension were associated with HFpEF. The predictive model exhibited reasonably accurate discrimination (ROC, 0.753, 95% CI 0.732–0.772) and calibration (Brier score was 0.200). Subsequent internal validation showed good discrimination and calibration (AUC = 0.750, Brier score was 0.202). In additoin to participating in pathophysiology of HFpEF, inflammation and multi-organ interactions have diagnostic prediction value for HFpEF. Screening and optimizing biomarkers of inflammation and multi-organ interactions stand for a new field to improve noninvasive diagnostic tool for HFpEF.
Facile encapsulation of cyanoacrylate-based bioadhesive by electrospray method and investigation of the process parameters
Authors: Aminoroaya Alireza , Khorasani Saied Nouri , Bagheri Rouholah , Talebi Zahra , Malekkhouyan Roya , Das Oisik , Neisiany Rasoul Esmaeely 
Published: March 2024

AbstractPolymer microcapsules containing cyanoacrylates have represented a promising option to develop self-healing biomaterials. This study aims to develop an electrospray method for the preparation of capsules using poly(methyl methacrylate) (PMMA) as the encapsulant and ethyl 2-cyanoacrylate (EC) as the encapsulate. It also aims to study the effect of the electrospray process parameters on the size and morphology of the capsules. The capsules were characterized using Fourier-transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), and field-emission scanning electron microscopy (FE-SEM). Moreover, the effects of electrospray process parameters on the size were investigated by Taguchi experimental design. FTIR and TGA approved the presence of both PMMA and EC without further reaction. FE-SEM micrograph demonstrated that an appropriate choice of solvents, utilizing an appropriate PMMA:EC ratio and sufficient PMMA concentration are critical factors to produce capsules dominantly with an intact and spherical morphology. Utilizing various flow rates (0.3–0.5 ml/h) and applied voltage (18–26 kV), capsules were obtained with a 600–1000 nm size range. At constantly applied voltages, the increase in flow rate increased the capsule size up to 40% (ANOVA, p ≤ 0.05), while at constant flow rates, the increase in applied voltage reduced the average capsule size by 3.4–26% (ANOVA, p ≤ 0.05). The results from the Taguchi design represented the significance of solution flow rate, applied voltage, and solution concentration. It was shown that the most effective parameter on the size of capsules is flow rate. This research demonstrated that electrospray can be utilized as a convenient method for the preparation of sub-micron PMMA capsules containing EC. Furthermore, the morphology of the capsules is dominated by solvents, PMMA concentration, and PMMA:EC ratio, while the average size of the capsules can be altered by adjusting the flow rate and applied voltage of the electrospray process.
Improvement in the quality and productivity of Codonopsis pilosula seedlings by dazomet soil fumigation
Authors: Wang Hongyan , Chen Yuan , Guo Fengxia , Dong Pengbin , Liang Wei , Cheng Jiali 
Published: March 2024

AbstractDazomet is a dry powder formulation that releases toxic gas containing methyl isothiocyanate, which controls soil-borne pests and weeds, improving crop yields when applied to moist soils. To explore the efficacy of dazomet fumigation in the cultivation of the perennial herb Codonopsis pilosula, four typical cultivars (G1, G2, W1 and TCK) in Gansu Province were selected for seedling cultivation after soil fumigation (F) by dazomet, and non-fumigated soil was used as a control (CK). The experiments took 2 years to complete. The functional diversity of the soil enzymes and microorganisms, seedling emergence and physiological characteristics, and the quality and yield of Codonopsis seedlings and Radix were assessed. The results showed that the seed emergence rate, seedling re-green rate and several antioxidant enzymatic activities improved in the treatments involving soil fumigation with dazomet, and membrane lipid peroxidation in the seedlings decreased. On average, compared with those of the respective controls, the root viability and yield of the seedlings of the tested cultivars also increased by 34.87% and 42.4%, respectively, and the incidence of root rot in the seedlings was reduced by 83.9%, compared with their respective controls. After harvest, the yield increased by 23.9%, the incidence of root rot decreased by 61.3%, increase in yield and a 61.3% reduction in incidence, and the medicinal materials were determined to be safe and residue-free. The effects of fumigation were cultivar-specific and were especially prominent in G2. Therefore, soil fumigation with dazomet could improve the quality and productivity of Codonopsis pilosula seedlings. Taken together, these findings suggest that when herbs are bred by seedling transplantation, especially cultivars of good quality but poor resistance or species with rare germplasm resources, soil fumigation provides a way to improve cultivation effectiveness and, more importantly, ensures the probability of successfully breeding the species.
Colonic in vitro fermentation of mycoprotein promotes shifts in gut microbiota, with enrichment of Bacteroides species
Authors: Colosimo Raffaele , Harris Hannah C. , Ahn-Jarvis Jennifer , Troncoso-Rey Perla , Finnigan Tim J. A. , Wilde Pete J. , Warren Frederick J. 
Published: March 2024

AbstractMycoprotein is a fungal-derived ingredient used for meat alternative products whose fungal cell walls are rich in dietary fibre (β-glucans and chitin) and defines its structure. Several health benefits have been reported after mycoprotein consumption, however, little is known about the impact of mycoprotein fermentation on the gut microbiota. This study aims to identify changes in microbiome composition and microbial metabolites during colonic fermentation of mycoprotein following simulated upper gastrointestinal digestion. Changes in microbial populations and metabolites produced by the fermentation of mycoprotein fibre were investigated and compared to a plant (oat bran) and an animal (chicken) comparator. In this model fermentation system, mycoprotein and oat showed different but marked changes in the microbial population compared to chicken, which showed minimal differentiation. In particular, Bacteroides species known for degrading β-glucans were found in abundance following fermentation of mycoprotein fibre. Mycoprotein fermentation resulted in short-chain fatty acid production comparable with oat and chicken at 72 h. Significantly higher branched-chain amino acids were observed following chicken fermentation. This study suggests that the colonic fermentation of mycoprotein can promote changes in the colonic microbial profile. These results highlight the impact that the unique structure of mycoprotein can have on digestive processes and the gut microbiota.
Quantifying mass transport limitations in a microfluidic CO2 electrolyzer with a gas diffusion cathode
Authors: Agarwal Venu Gopal , Haussener Sophia 
Published: March 2024

AbstractA gas diffusion electrode (GDE) based CO2 electrolyzer shows enhanced CO2 transport to the catalyst surface, significantly increasing current density compared to traditional planar immersed electrodes. A two-dimensional model for the cathode side of a microfluidic CO2 to CO electrolysis device with a GDE is developed. The model, validated against experimental data, examines key operational parameters and electrode materials. It predicts an initial rise in CO partial current density (PCD), peaking at 75 mA cm−2 at −1.3 V vs RHE for a fully flooded catalyst layer, then declining due to continuous decrease in CO2 availability near the catalyst surface. Factors like electrolyte flow rate and CO2 gas mass flow rate influence PCD, with a trade-off between high CO PCD and CO2 conversion efficiency observed with increased CO2 gas flow. We observe that a significant portion of the catalyst layer remains underutilized, and suggest improvements like varying electrode porosity and anisotropic layers to enhance mass transport and CO PCD. This research offers insights into optimizing CO2 electrolysis device performance.
Elastomers mechanically reinforced and toughened with CO2 gas
Authors: Miwa Yohei , Yoneda Hanako , Ohya Takehito , Okada Kazuma , Takahashi Rina , Nakamura Hayato , Shimozaki Shoei , Hashimoto Kei , Kutsumizu Shoichi 
Published: March 2024

AbstractGas-responsive polymers have recently attracted considerable interest as unconventional smart materials that provide a new path toward the utilization of specific gases including CO2. Herein, we report gas-responsive elastomers that enhance mechanical properties, such as modulus, strength, stretchability, and toughness with CO2 gas. Various types of amine groups are introduced into polydimethylsiloxane elastomers to achieve the gas-induced mechanical reinforcement. In these elastomers, the amines form ionic crosslinks with CO2 gas that mechanically strengthen the materials. Furthermore, nanodomains formed via microphase separation of the ionic components behave similarly to viscoelastic nanofillers that dissipate a large amount of energy during deformation, thereby remarkably toughening the elastomers. Surprisingly, the fracture energy of the elastomer with diamine increases ~35 times in CO2 gas compared with that in N2 gas. Furthermore, the elastomers sensitively respond even to CO2 gas concentrations as low as 10 % and are remarkably toughened. Our design concept is widely applicable to the CO2 reinforcement of other polymers, such as polyethylene.
Durable plasma-mediated zwitterionic grafting on polymeric surfaces for implantable medical devices
Authors: Crago Matthew , Tan Richard , Hung Juichien , Wise Steven G. , Akhavan Behnam , Bilek Marcela , Dehghani Fariba , Talebian Sepehr , Naficy Sina 
Published: March 2024

AbstractAdverse body reactions to blood-contacting medical devices endanger patient safety and impair device functionality, with events invariably linked to nonspecific protein adsorption due to suboptimal material biocompatibility. To improve the safety and durability of such devices, herein we propose a strategy for introducing stable zwitterionic grafts onto polymeric surfaces via plasma functionalization. The resulting zwitterion-grafted substrates exhibit long-lasting superhydrophilicity, enabling antifouling and anti-thrombogenic properties. We demonstrate the successful modification of the surface elemental composition, morphology, and hydrophilicity, while retaining the underlying mechanical properties of the polymeric substrate. Furthermore, we optimise the fabrication process to ensure long-lasting modifications at least three months after fabrication. This strategy decreases fibrinogen adsorption by approximately 9-fold, and thrombosis by almost 75% when applied to a commercial polyurethane. Moreover, this process is universally applicable to a wide range of polymeric materials, even those with stable chemistry such as polytetrafluoroethylene.
Educating for variability and climate change in Uruguay, a case study
Authors: Guevara Dorado Rocío 
Published: March 2024

AbstractAmong the possible actions to face climate change, education has a central role, great hopes have been deposited in its potential to contribute to the construction of a sustainable world. However, although there are global climate change education initiatives, they still do not generate a significant impact, especially at the local level. The deepening of the location of educational actions is key to reaching the public. It is necessary to permeate the national educational systems and non-formal education generated by local civil society. For this reason, it is important to learn about successful local initiatives that can enrich and strengthen future practices at all levels. In Uruguay, initiatives have been developed that can serve as case studies that contribute to collecting lessons learned and areas of opportunity. This paper includes three experiences developed by multidisciplinary teams from the Centre for Response to Variability and Climate Change of the University of the Republic in conjunction with key local government actors and local civil society. It is about the process of elaboration and implementation of an audio-visual educational resource for adolescents, a cycle of workshops for young people and a multimodal online course for professional adults and teachers. The experiences demonstrate the relevance of generating locally contextualized educational resources and actions to contribute to the achievement of global objectives of sustainable development. Likewise, they present some lessons learned in terms of theoretical approaches, methods and practices of education for climate change.
Predictive and prognostic value of excision repair cross-complementing group 1 in patients with advanced gastric cancer
Authors: Yamada Yasuhide , Nagashima Kengo , Azuma Mizutomo , Masutani Mitsuko , Ichikawa Hitoshi , Iwasa Satoru , Takahashi Naoki , Hirano Hidekazu , Kanato Keisuke , Machida Nozomu , Kinoshita Takahiro , Hata Hiroaki , Kawakami Hisato , Takahari Daisuke , Boku Narikazu , Kurokawa Yukinori , Terashima Masanori , Yoshikawa Takaki , Sekine Shigeki , Hiraoka Nobuyoshi 
Published: March 2024

Abstract
Background
To define the optimal chemotherapy regimen for each patient we therefore used tissue from patients to identify molecular prognostic or predictive biomarkers.

Methods
Endoscopic biopsy specimens from primary lesions and surgical specimens on a phase III trial in patients with unresectable advanced or recurrent gastric cancer treated with docetaxel with cisplatin plus S-1 (DCS) or cisplatin plus S-1 (CS), were collected. We measured the mRNA expression of ERCC1 and analyzed SNPs in GSTP1 and ERCC1.

Results
Low ERCC1 expression was associated with favorable prognosis for overall survival, OS by multivariable analysis (P = 0.001). There were significant interactions between the two treatment arms of DCS and CS, and ERCC1 mRNA expression. In patients with low ERCC1 expression of a favorable prognosis, DCS therapy was inferior to CS (P = 0.046). In addition to GSTP1 rs1695 (HR 1.728), ERCC1 rs3212980, ERCC1 rs2298881, ERCC1 rs3212964 with high expression of ERCC1 mRNA were associated with significantly worse prognosis with regard to OS.

Conclusions
ERCC1 mRNA is an independent prognostic factor and predictive marker that can be used to guide the addition of docetaxel. The SNPs of ERCC1 and GSTP1 could be also prognostic or predictive factors.
An intelligent prediction model of epidemic characters based on multi‐feature
Authors: Wang Xiaoying , Li Chunmei , Wang Yilei , Yin Lin , Zhou Qilin , Zheng Rui , Wu Qingwu , Zhou Yuqi , Dai Min 
Published: March 2024

AbstractThe epidemic characters of Omicron (e.g. large‐scale transmission) are significantly different from the initial variants of COVID‐19. The data generated by large‐scale transmission is important to predict the trend of epidemic characters. However, the results of current prediction models are inaccurate since they are not closely combined with the actual situation of Omicron transmission. In consequence, these inaccurate results have negative impacts on the process of the manufacturing and the service industry, for example, the production of masks and the recovery of the tourism industry. The authors have studied the epidemic characters in two ways, that is, investigation and prediction. First, a large amount of data is collected by utilising the Baidu index and conduct questionnaire survey concerning epidemic characters. Second, the β‐SEIDR model is established, where the population is classified as Susceptible, Exposed, Infected, Dead and β‐Recovered persons, to intelligently predict the epidemic characters of COVID‐19. Note that β‐Recovered persons denote that the Recovered persons may become Susceptible persons with probability β. The simulation results show that the model can accurately predict the epidemic characters.
Analysis one‐bit DAC for MU massive MIMO downlink via efficient autoencoder based deep learning
Authors: Arfaoui Ahlem , Cherif Maha , Bouallegue Ridha 
Published: March 2024

AbstractMulti‐user (MU) massive multiple input multiple output (mMIMO) is considered a potential technology for fifth generation (5G) and sixth‐generation (6G) wireless systems. The presence of the antenna arrays at the base station level to communicate with the users or to serve tens of single antenna users leads to excessively high system costs and power consumption. The deployment 1‐bit digital‐to‐analogue converters (DACs) in the base station can solve these problems. This paper starts by presenting an analytical study centered on the effects of 1‐bit DACs on the system envisaged for a Rayleigh‐type fading channel. Compact‐form expressions are derived for the symbol error rate. Afterwards, an efficient end‐to‐end deep learning technique to compensate for the joint effect of 1‐bit DAC and imperfect channel state information in downlink mMIMO systems. Moreover, to improve the performance of the considered system, a DAC mixed architecture is proposed, where a number of antennas use 1 bit DACs while the others do not. The simulations results showed the improvement in transmission quality of the downlink of the MU‐mMIMO system in the presence of hardware imperfections using the considered end‐to‐end compensation technique.
NHD‐YOLO: Improved YOLOv8 using optimized neck and head for product surface defect detection with data augmentation
Authors: Chen Faquan , Deng Miaolei , Gao Hui , Yang Xiaoya , Zhang Dexian 
Published: March 2024

AbstractSurface defect detection is an essential task for ensuring the quality of products. Many excellent object detectors have been employed to detect surface defects in resent years, which has achieved outstanding success. To further improve the detection performance, a defect detector based on state‐of‐the‐art YOLOv8, named improved YOLOv8 by neck, head and data (NHD‐YOLO), is proposed. Specifically, YOLOv8 from three crucial aspects including neck, head and data is improved. First, a shortcut feature pyramid network is designed to effectively fuse features from backbone by improving the information transmission. Then, an adaptive decoupled head is proposed to alleviate the feature spatial misalignment between the classification and regression tasks. Finally, to enhance the training on small objects, a data augmentation method named selective small object copy and paste is proposed. Extensive experiments are conducted on three real‐world datasets: detection dataset from Northeastern University (NEU‐DET), printed circuit boards from Peking University (PKU‐Market‐PCB) and common objects in context (COCO). According to the results, NHD‐YOLO achieves the highest detection accuracy and exhibits outstanding inference speed and generalisation performance.
The extended resonant modal theory and its applications
Authors: Xiao Ruqi , Geyi Wen , Yang Guo , Wu Wen 
Published: March 2024

AbstractThe authors extend the resonant modal theory (RMT) developed previously for a metal object to an arbitrary source region consisting of metals, dielectrics, or a combination of both. The influences of dielectrics on the fields are replaced by equivalent volume sources through the use of the compensation theorem in electromagnetic theory. The resonant frequencies can be determined by finding the roots of the determinant of the matrix resulted from the discretisation of the real homogeneous volume–surface integral equation derived from the requirement that the difference of stored field energies in the source region vanishes. As applications of the extended RMT, three examples have been investigated. The first example is a dielectric resonator antenna and is designed by exciting the first resonant mode of the composite structure in which the dielectric cylinder is combined with a conformal metallic strip. The second example is a dual‐band dielectric‐coated metallic wire antenna. The third example studies the resonant modes of a rectangular patch antenna.
Firm-level political uncertainty, corporate lobbying and risk-taking
Authors: Timbate Lukas , Kim Dongil , Asrat Dereje , Sungjun Hwang 
Published: March 2024

AbstractPrior research shows that political uncertainty affects general economic and firm-related outcomes. However, little is known about how firm-specific political uncertainty is related to corporate risk-taking. Taking advantage of a recent construct and using a large sample of non-financial U.S. firms covering the period between 2002 and 2021, we find compelling evidence that firm-specific political uncertainty is positively related to corporate risk-taking, especially for larger firms. On average, a one standard deviation rise in the level of political risk at the firm-level results in a 2.53% increase in risk-taking. Further analysis shows that the impact of firm-level political uncertainty on corporate risk-taking is more pronounced for firms that spend more on corporate lobbying. Our results are significant and robust to alternative risk-taking measures and endogeneity tests.
Topological signatures of Mo2TiC2O2
Authors: Parajuli D. , Samatha K. 
Published: March 2024

Mo2TiC2 is the Ordered Double Transitional Metal Layered Carbides (ODTMLC) derived from its parent MAX phases Mo2TiAlC2 by a wet chemical etching. Its oxidation was done by a new ablated plasma thrust method in which the MXenes were at 750 °C under an oxygen background in the pulsed laser deposition chamber. The reflective high electron energy diffraction technique assures the oxidation at the ambient gas pressure p = 0.1 mbar, which was described in the previous paper. The obtained Mo2TiC2O2 was transferred for their topological test under angle-resolved photoemission spectroscopy, circular dichroism test, and Chemical Potential (CP) analysis. An indirect energy bandgap of 125 meV was obtained. The sine function of α along with period π and β with period 2π shows that there is a possibility of helical spin textures in both α (electron-like pocket around Γ̄) and β (elliptical electron-like pocket around M̄). The CP analysis shows the possibility of at least 100 meV bandgap creation on a single surface so that the surface charges will flow without any effect of bulk. The Mo2TiC2O2 can be used as topological insulating material.