bluuebunny/crossref_metadata_2025_split huggingface dataset:
Believing in conspiracy theories: The role of emotional granularity and maladaptive emotion regulation strategies
Authors: Wabnegger Albert , Potthoff Jonas , Schienle Anne 
Published: April 2024

AbstractThe COVID‐19 pandemic has accelerated the spread of conspiracy theories. Previous research has found that individuals who struggle with emotion regulation are more prone to believing in conspiracy theories. Emotional granularity, or the ability to differentiate between nuanced emotional states, is a key component of effective emotion regulation, yet its relationship with conspiracy beliefs has not been explored thoroughly. Thus, we conducted an experience‐sampling study (165 participants, mean age = 26.32 years) including measures of emotion regulation and differentiation. The findings revealed that individuals who endorse conspiracy theories engage in repetitive thinking about the causes and consequences of events and exhibit a reduced ability to distinguish between negative emotions. This effect, however, was observed only in the performance‐based measure of emotion differentiation, not in the self‐report measures. This suggests that enhancing emotional granularity may help individuals in regulating their emotions more effectively, thereby reducing their vulnerability to adopt conspiracy beliefs.
Fixed‐time adaptive neural network tracking control for output‐constrained high‐order systems using command filtered strategy
Authors: Chen Lian , Tang Junzhong , Ling Song 
Published: April 2024

SummaryThis article proposes a fixed‐time adaptive neural command filtered controller for a category of high‐order systems based on adding a power integrator technique. Different from existing research, the presented controller has the following distinguishing advantages: (i) a fixed‐time control framework is extended to the tracking control problem of high‐order systems. (ii) The error compensation mechanism eliminates filter errors that arise from dynamic controllers. (iii) Growth assumptions about unknown functions are relaxed with the help of adaptive neural networks. (iv) More general systems: the developed controller can apply to high‐order systems subject to uncertain dynamics, unknown gain functions and asymmetric constraints. Stability analysis shows that all states are semi‐globally uniformly ultimately bounded, and the convergence rate of tracking error is independent of initial conditions. Finally, simulation results validate the advantages and efficacy of the developed control scheme.
Magnesium Test: Universal and Ultra‐Sensitive Method for Measuring Reliability of Thin‐Film‐Encapsulated Bioelectronic Implants in Physiological Environment
Authors: Mariello Massimo , Ayama Kosuke , Wu Kangling , Baudino Costanza , Wang Lei , Mutschler Léo , Jourdan Lucas Aurélien , Cleusix Marion Bianca , Furfaro Ivan , Kathe Claudia , Courtine Grégoire , von Allmen Marion , Van Gompel Matthias , Leterrier Yves , Lacour Stéphanie P. 
Published: April 2024

AbstractNext‐generation bioelectronic implants require miniaturization, durability, and long‐term functionality. Thin film encapsulations, prepared with inorganic or hybrid organic/inorganic designs, are essential for ensuring protection, low water permeation, adaptability, and structural strength. It is equally important to precisely measure their barrier performance, especially for in vivo use, to ensure the manufacture of reliable bioelectronics. Current monitoring solutions are not adequate: they are bulky, lack sensitivity, and are incompatible with microfabricated devices. Here, a comprehensive method is introduced to quantify the permeability of thin‐film encapsulation for bioelectronic implants both in situ and in real time. This method relies on monitoring the electrical resistance of the Mg film, which experiences corrosion due to water permeation, leading to Mg hydrolysis. An analytical model is proposed that predicts and quantifies this permeation, and is adaptable for various types of encapsulations, including hybrid multilayers. An unprecedented ultra‐low detection limit of 3 × 10−8 g m−2 d−1at room temperature is demonstrated and the monitoring approach is validated in vivo using polyimide and poly(dimethylsiloxane)‐coated bioelectronics.
Boronophenylalanine‐Containing Polydopamine Nanoparticles for Enhanced Combined Boron Neutron Capture Therapy and Photothermal Therapy for Melanoma Treatment
Authors: Dai Liqun , Wang Tao , Zhou Siming , Pan Lili , Lu Yi , Yang Tingyu , Wang Wentao , Qian Zhiyong 
Published: April 2024

AbstractMelanoma, the most aggressive skin cancer type, is challenging to treat due to its high metastatic potential and low response to conventional therapies. Innovative approaches, including combination therapies, are crucial for enhancing treatment efficacy while minimizing side effects. It is developed boronophenylalanine‐containing polydopaine (B‐PDA) nanoparticles by encapsulating boronophenylalanine in polydopamine through nitrogen‐boronate coordination, targeting both boron neutron capture therapy (BNCT) and photothermal therapy (PTT). With stability and biocompatibility under physiological conditions, these nanoparticles utilize the phenylalanine residues in BPA to target the overexpressed neutral amino acid transporter 1 (LAT1) in melanoma cells, resulting in enhanced cell‐specific targeting. B‐PDA nanoparticles demonstrated significant photothermal effects under external stimulation, inducing localized heating and triggering heterogeneous tumor cell death, thereby enhancing sensitivity to BNCT. Combining BNCT and PTT, the B‐PDA nanoparticles offer a promising strategy for melanoma treatment.
A Macrophage Membrane‐Functionalized, Reactive Oxygen Species‐Activatable Nanoprodrug to Alleviate Inflammation and Improve the Lipid Metabolism for Atherosclerosis Management
Authors: Qu Kai , Zhong Yuan , Zhu Li , Mou Nianlian , Cao Yu , Liu Jie , Wu Shuai , Yan Meng , Yan Fei , Li Jiawei , Zhang Cheng , Wu Guicheng , Zhang Kun , Qin Xian , Wu Wei 
Published: April 2024

AbstractAtherosclerosis (AS) management typically relies on therapeutic drug interventions, but these strategies typically have drawbacks, including poor site specificity, high systemic intake, and undesired side effects. The field of cell membrane camouflaged biomimetic nanomedicine offers the potential to address these challenges thanks to its ability to mimic the natural properties of cell membranes that enable enhanced biocompatibility, prolonged blood circulation, targeted drug delivery, and evasion of immune recognition, ultimately leading to improved therapeutic outcomes and reduced side effects. In this study, a novel biomimetic approach is developed to construct the M1 macrophage membrane‐coated nanoprodrug (MM@CD‐PBA‐RVT) for AS management. The advanced MM@CD‐PBA‐RVT nanotherapeutics are proved to be effective in inhibiting macrophage phagocytosis and facilitating the cargo delivery to the activated endothelial cells of AS lesion both in vitro and in vivo. Over the 30‐day period of nanotherapy, MM@CD‐PBA‐RVT is capable of significantly inhibiting the progression of AS, while also maintaining a favorable safety profile. In conclusion, the biomimetic MM@CD‐PBA‐RVT shows promise as feasible drug delivery systems for safe and effective anti‐AS applications.
Ribogreen Fluorescent Assay Kinetics to Measure Ribonucleic Acid Loading into Lipid Nanoparticle Carriers
Authors: Bizmark Navid , Nayagam Satya , Kim Bumjun , Amelemah David F. , Zhang Dawei , Datta Sujit S. , Priestley Rodney D. , Colace Tom , Wang Jane , Prud'homme Robert K. 
Published: April 2024

AbstractNew generations of vaccines have been developed by encapsulating messenger ribonucleic acid (mRNA) in lipid nanoparticle (LNP) carriers. In addition to the physicochemical properties of LNPs, the encapsulation efficiency (EE) of mRNA in LNPs is a key factor to screen vaccine assembly assays. Fluorescent dyes with amplified signals upon binding with mRNA are at the core of developing assays to quantify EE. However, disregarding the temporal effects during the assay impacts the accuracy of the assay. Here, the kinetics of temporal decay in fluorescence intensity of dye‐RNA complex—in Ribogreen assay—are reported and shown how this dynamic process can be impeded in the presence of a nonionic surfactant. Further, the impact of this dynamic process on the calculated EE is studied. The corrections needed to accurately assay dynamic mRNA loading processes are presented.
A Multiple Circularly Polarized Luminescence Regulation Platform Driven by Acid, Base, and Primary Amines
Authors: Li Jing , Yang Guojian , Shi Aiyan , Han Dongxue , Han Mingyang , Xiang Chaoyu , Zhang Ting , Wang Haoran 
Published: April 2024

AbstractFunctional materials that exhibit circularly polarized luminescence (CPL) have shown immense potential in applications such as 3D optical displays and advanced information encryption. However, facile and efficient regulation of the multiple emission properties in chiral systems has remained a challenge due to the scarcity of suitable materials and the complexity of the systems. Herein, a multiple CPL regulation platform is fabricated by the helical co‐assembly of an aldehyde‐functionalized fluorane dye (Rhodol‐CHO, 6′‐(diethylamino)‐3′‐hydroxy‐3‐oxo‐3H‐spiro[isobenzofuran‐1,9′‐xanthene]‐4′‐carbaldehyde) and chiral liquid crystals, which can efficiently combine multiple stimuli‐responsive characteristics and high optical activity. By introducing acid, base, and compounds containing primary amino (─NH2) groups, the CPL property of the system can be easily modified. The obtained CPL systems exhibit apparent asymmetry, with glum values reaching 0.54–0.75). Further, these CPL modules are successfully applied in multi‐mode information encryption, highlighting their practical utility. Therefore, this study presents a novel strategy for developing materials with diverse CPL behaviors based on a simple‐designed platform, advancing further applications of CPL materials.
Extracellular Vesicles in the Repair of Bone and Cartilage Injury: From Macro‐Delivery to Micro‐Modification
Authors: Xu Xiangyu , Li Jialu , Lu Yi , Shan Yibo , Shen Zhiming , Sun Fei , Zhu Jianwei , Chen Wenxuan , Shi Hongcan 
Published: April 2024

AbstractExtracellular vesicles (EVs) are intermediaries in intercellular signal transmission and material exchange and have attracted significant attention from researchers in bone and cartilage repair. These nanoscale vesicles hold immense potential in facilitating bone and cartilage repair and regeneration by regulating the microenvironment at an injury site. However, their in vivo utilization is limited by their self‐clearance and random distribution. Therefore, various delivery platforms have been developed to improve EV targeting and retention rates in target organs while achieving a controlled release of EVs. Additionally, engineering modification of EVs has been proposed to effectively enhance EVs' intrinsic targeting and drug‐loading abilities and further improve their therapeutic effects on bone and cartilage injuries. This review aims to introduce the biogenesis of EVs and their regulatory mechanisms in the microenvironment of bone and cartilage injuries and comprehensively discuss the application of EV‐delivery platforms of different materials and various EV engineering modification methods in treating bone and cartilage injuries. The review's findings can help advance EV research and develop new strategies for improving the therapy of bone and cartilage injuries.
Enhancing Solar Forecasting Accuracy with Sequential Deep Artificial Neural Network and Hybrid Random Forest and Gradient Boosting Models across Varied Terrains
Authors: Hanif Muhammad Farhan , Siddique Muhammad Umar , Si Jicang , Naveed Muhammad Sabir , Liu Xiangtao , Mi Jianchun 
Published: April 2024

AbstractEffective solar energy utilization demands improvements in forecasting due to the unpredictable nature of solar irradiance (SI). This study introduces and rigorously tests two innovative forecasting models across different locations: the Sequential Deep Artificial Neural Network (SDANN) and the Deep Hybrid Random Forest Gradient Boosting (RFGB). SDANN, leveraging deep learning, aims to identify complex patterns in weather data, while RFGB, combining Random Forest and Gradient Boosting, proves more effective by offering a superior balance of efficiency and accuracy. The research highlights the SDANN model's deep learning capabilities along with the RFGB model's unique blend and their comparative success over existing models such as eXtreme Gradient Boosting (XGBOOST), Categorical Boosting (CatBOOST), Gated Recurrent Unit (GRU), and a K‐Nearest Neighbors (KNN) and XGBOOST hybrid. With the lowest Mean Squared Error (147.22), Mean Absolute Error (8.77), and a highR2value (0.80) in a studied region, RFGB stands out. Additionally, detailed ablation studies on meteorological feature impacts on model performance further enhance accuracy and adaptability. By integrating cutting‐edge AI in SI forecasting, this research not only advances the field but also sets the stage for future renewable energy strategies and global policy‐making.
Synergistic Drug‐Loaded Shear‐Thinning Star Polymer Hydrogel Facilitates Gastrointestinal Lesion Resection and Promotes Wound Healing
Authors: Zhang Yue , Miao Dongtian , Su Mingli , Tang Yinxiang , Zhou Minghong , Yu Yang , Guo Xuefeng , Wu Dingcai 
Published: April 2024

AbstractEasy injection, long‐lasting barrier, and drug loading are the critical properties of submucosal injection materials for endoscopic surgery. However, conventional injectable polymers face challenges in simultaneously attaining these properties due to the inherent conflict between injectability and in situ stability. Here, a multi‐arm star polymer hydrogel (denoted as βCP hydrogel) with long‐lasting submucosal barrier (exceeding 120 min), rapid hemostasis, and sustained antibacterial properties is successfully developed by grafting poly(oligo(ethylene glycol) methyl ether methacrylate) (PEGMA) side‐chains from β‐CD via atom transfer radical polymerization (ATRP). During the onset of shearing, βCP hydrogel experiences the unwinding of polymer side‐chains between neighboring star polymers, which facilitates the process of endoscopic injectability. After submucosal injection, βCP hydrogel undergoes the winding of polymer side‐chains, thereby establishing a long‐lasting barrier cushion. Meanwhile, owing to its distinctive structures with a hydrophobic inner cavity and an outer layer of hydrophilic polymer side‐chains, βCP hydrogel enables simultaneous loading and on‐demand release of diverse categories of drugs. This unique performance can adapt to the diverse demands during different stages of wound healing in a porcine endoscopic surgery model. These results indicate an appealing prospect for new application of star polymers as a good submucosal injection material in endoscopic treatments.
Patterning Techniques Based on Metallized Electrospun Nanofibers for Advanced Stretchable Electronics
Authors: Bian Yuhan , Shi Haozhou , Yuan Qunchen , Zhu Yuxuan , Lin Zhengzi , Zhuang Liujing , Han Xun , Wang Ping , Chen Mengxiao , Wang Xiandi 
Published: April 2024

AbstractStretchable electronics have experienced remarkable progress, especially in sensors and wireless communication systems, attributed to their ability to conformably contact with rough or uneven surfaces. However, the development of complex, multifunctional, and high‐precision stretchable electronics faces substantial challenges, including instability at rigid‐soft interfaces and incompatibility with traditional high‐precision patterning technologies. Metallized electrospun nanofibers emerge as a promising conductive filler, offering exceptional stretchability, electrical conductivity, transparency, and compatibility with existing patterning technologies. Here, this review focuses on the fundamental properties, preparation processes, patterning technologies, and application scenarios of conductive stretchable composites based on metallized nanofibers. Initially, it introduces the fabrication processes of metallized electrospun nanofibers and their advantages over alternative materials. It then highlights recent progress in patterning technologies, including collector collection, vapor deposition with masks, and lithography, emphasizing their role in enhancing precision and integration. Furthermore, the review shows the broad applicability and potential influence of metallized electrospun nanofibers in various fields through their use in sensors, wireless systems, semiconductor devices, and intelligent healthcare solutions. Ultimately, this review seeks to spark further innovation and address the prevailing challenges in stretchable electronics, paving the way for future breakthroughs in this dynamic field.
Inverse Design of Photonic Surfaces via High throughput Femtosecond Laser Processing and Tandem Neural Networks
Authors: Park Minok , Grbčić Luka , Motameni Parham , Song Spencer , Singh Alok , Malagrino Dante , Elzouka Mahmoud , Vahabi Puya H. , Todeschini Alberto , de Jong Wibe Albert , Prasher Ravi , Zorba Vassilia , Lubner Sean D. 
Published: April 2024

AbstractThis work demonstrates a method to design photonic surfaces by combining femtosecond laser processing with the inverse design capabilities of tandem neural networks that directly link laser fabrication parameters to their resulting textured substrate optical properties. High throughput fabrication and characterization platforms are developed that generate a dataset comprising 35280 unique microtextured surfaces on stainless steel with corresponding measured spectral emissivities. The trained model utilizes the nonlinear one‐to‐many mapping between spectral emissivity and laser parameters. Consequently, it generates predominantly novel designs, which reproduce the full range of spectral emissivities (average root‐mean‐squared‐error < 2.5%) using only a compact region of laser parameter space 25 times smaller than what is represented in the training data. Finally, the inverse design model is experimentally validated on a thermophotovoltaic emitter design application. By synergizing laser‐matter interactions with neural network capabilities, the approach offers insights into accelerating the discovery of photonic surfaces, advancing energy harvesting technologies.
Effects of micro‐algae dietary oil replacement on growth, omega − 3 deposition and gut microbiome composition of Nile tilapia (Oreochromis niloticus)
Authors: Trevi Sergio , Uren Webster Tamsyn M. , Consuegra Sofia , Garcia de Leaniz Carlos 
Published: April 2024

AbstractMicroalgae offer a sustainable source of omega − 3 fatty acids that can replace fish oil in aquafeeds, but the nutritional benefits are not always clear, particularly when microalgae are used as complete oil replacements in starter feeds. We compared the survival, growth, omega − 3 deposition and composition of the gut microbiota of juvenile mixed‐sex Nile tilapia (Oreochromis niloticus) that had been fed over a 3‐month period on six isonitrogenous, isolipidic and isocaloric aquafeeds that varied only on the contribution of fish oil, soya oil and microalgae (Schizochytrium) oil as lipid sources. Survival was not affected by diet, but fish fed a diet where the entire oil component (5%) was replaced by microalgae oil grew twice as fast as fish fed plant oil or a mixture of plant and fish oil. Dietary omega − 3 content was strongly correlated with omega − 3 deposition in the fish fillet. Complete replacement of fish oil by plant oil caused a significant decrease in the abundance of Peptostreptococcaceae and an increase in the abundance of Aeromonadaceae which is often associated with an inflammatory response in the fish gut. In contrast, when fish and soya oil in the reference diet were replaced by 100% microalgae oil, an increase in Mycobacteriaceae was observed. Our study indicates that Schizochytrium oil can be used to improve the growth of Nile tilapia and increase its omega − 3 content without any of the detrimental effects on the gut microbiome typically associated with some plant oil replacements.
Soil health cycle
Authors: Maharjan Bijesh , Das Saurav , Thapa Vesh R. , Sharma Acharya Bharat 
Published: April 2024

AbstractSoil health is pivotal to agricultural sustainability. Promoting and sustaining soil health management is challenging since it involves many interdependent components and steps and is an iterative process. Herein, the soil health cycle (SHC) is proposed as a soil health management cycle encompassing human dimensions, management practices, and their effects on soil health indicators (SHIs), leading to subsequent impacts on soil functions. The SHC provides a structure for an iterative testing of changes to improve soil health. A systematic review of research publications was also conducted using the Web of Science database supplemented by Elicit AI and Scopus API searches to determine the status of research reports connecting SHIs to soil function outcomes, a critical component in the SHC. The review focused on publications from 2000 to 2022 and highlighted that most soil health studies separately report the potential roles of soil health practices such as cover cropping, no‐tillage or reduced tillage, crop rotation, and crop–livestock integration in improving SHIs or soil function outcomes such as productivity and sustainability. The confidence in the causality of improved SHIs due to practices can be increased by demonstrably linking them to soil function outcomes such as productivity, environmental quality, and profitability. Presenting such evidence might allow us to tease confounding factors apart and present and contextually recommend soil health practices. It will also affect the human dimension in the SHC through informed and beneficial policies and incentives.
Long‐term quality of life after open and laparoscopic total gastrectomy for stage I gastric cancer: A prospective multi‐institutional study (CCOG1504)
Authors: Tanaka Chie , Kanda Mitsuro , Misawa Kazunari , Mochizuki Yoshinari , Hattori Masashi , Sueoka Satoshi , Watanabe Takuya , Yamada Takanobu , Murotani Kenta , Kodera Yasuhiro 
Published: April 2024

AbstractBackgroundLittle information is available from prospective clinical trials on the influences of surgical approaches on postoperative quality of life (QOL). We aimed to prospectively compare chronological changes in postoperative body weight and QOL between laparoscopic and open total gastrectomy for stage I gastric cancer (GC).MethodsWe conducted a multi‐institutional prospective study (CCOG1504) of patients who undergo laparoscopic or open total gastrectomy. Body weight was measured at the baseline and at the 1st, 2nd, and 3rd postoperative years (POY). QOL using the European Organization for Research and Treatment of Cancer quality of life questionnaire‐C30 (EORTC QLQ‐C30) and the Post‐Gastrectomy Syndrome Assessment Scale‐37 (PGSAS‐37) questionnaires were measured at the baseline and at the 1st, 3rd, 6th, 12th, and 36th postoperative months (POM).ResultsWe enrolled 84 patients from 15 institutions, and finally 43 patients for the laparoscopic group and 16 for the open group were eligible for data analysis. There were no significant differences in body weight change between the two groups. The role functioning score among the EORTC QLQ‐C30 tended to be higher (i.e., better QOL) in the laparoscopic group at POM 1 and 12 after surgery compared to the open group. The dissatisfaction at working score among the PGSAS‐37 at 1 month after surgery was lower (i.e. better QOL) in the laparoscopic group compared to the open group.ConclusionsThe results of CCOG1504 indicated that laparoscopic approach for total gastrectomy was associated with a more favorable dissatisfaction at working score (PGSAS‐37).