bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive insight into an amino acid metabolic network in postharvest horticultural products: a review
Authors: Yuxiao Zhang , Guo Yanyin , Xinhua Song 
Published: April 2023

AbstractAmino acid (AA) metabolism plays a vital role in the central metabolism of plants. In addition to protein biosynthesis, AAs are involved in secondary metabolite biosynthesis, signal transduction, stress response, defense against pathogens, flavor formation, and so on. Besides these functions, AAs can be degraded into precursors or intermediates of the tricarboxylic acid cycle to substitute respiratory substrates and restore energy homeostasis, as well as directly acting as signal molecules or be involved in the regulation of plant signals to delay senescence of postharvest horticultural products (PHPs). AA metabolism and its role in plants growth have been clarified; however, only a few studies about their roles exist concerning the postharvest preservation of fruit and vegetables. This study reviews the potential functions of various AAs by comparing the difference in AA metabolism at the postharvest stage and then discusses the crosstalk of AA metabolism and energy metabolism, the target of rapamycin/sucrose nonfermenting‐related kinase 1 signaling and secondary metabolism. Finally, the roles and effect mechanism of several exogenous AAs in the preservation of PHPs are highlighted. This review provides a comprehensive insight into the AA metabolism network in PHPs. © 2023 Society of Chemical Industry.
Dynamics of bacterial community, metabolites profile and physicochemical characteristics during solid‐state fermentation of soybean meal and corn mixed substrates inoculated with Bacillus pumilus and Limosilactobacillus fermentum
Authors: Huang Jinqing , Dai Yuming , Zhang Yue , Liu Guangxian , Peng Fei , Xie Mingyong , Xiong Tao 
Published: April 2023

AbstractBACKGROUNDSolid‐state fermentation (SSF) is a general approach for preparing food and feed, which not only improves nutrition but also provides prebiotics and metabolites. Although many studies have been conducted on the effects of fermentation on feed substrate, the dynamics of microbiota and metabolites in SSF remain unclear. Here, high‐throughput sequencing combined with gas chromatography–quadrupole time‐of‐flight mass spectrometry was used to evaluate the dynamic changes of solid fermented soybean meal and corn mixed matrix inoculated with Bacillus pumilus and Limosilactobacillus fermentum.RESULTSGenerally, inoculated bacteria rapidly proliferated, accompanied by the degradation of macromolecular proteins and an increase in the content of small peptides, trichloroacetic acid‐soluble protein, free amino acids and organic acids. Bacillus, Lactobacillus and Enterococcus dominated the whole fermentation process. 389 non‐volatile metabolites and 182 volatile metabolites were identified, including amino acids, organic acids, ketones, aldehydes, furans and pyrazine. Typical non‐volatile metabolites such as lactic acid, 4‐aminobutanoic acid, l‐glutamic acid, d‐arabinose and volatile metabolites such as 4‐ethyl‐2‐methoxyphenol, 4‐penten‐2‐ol, 2‐pentanone, 2‐ethylfuran, 2‐methylhexanoic acid and butanoic acid–ethyl ester were significantly increased in two‐stage solid fermentation. However, some adverse metabolites were also produced, such as oxalic acid, acetic acid, tyramine and n‐butylamine, which may affect the quality of fermented feed. Sixteen genera were significantly correlated with differential non‐volatile metabolites, while 11 genera were significantly correlated with differential volatile metabolites.CONCLUSIONThese results characterized the dynamic changes in the process of two‐stage solid‐state fermentation with Bacillus pumilus and Limosilactobacillus fermentum and provided a potential reference for additional intervention on improving the effectiveness and efficiency of solid‐state fermentation of feed in the future. © 2023 Society of Chemical Industry.
Ipratropium Bromide Nasal Spray in Non‐Allergic Rhinitis: A Systematic Review and Meta‐Analysis
Authors: El Khoury Patrick , Abou Hamad Walid , Khalaf Michel G. , El Hadi Christopher , Assily Ralph , Rassi Simon , Khoueir Nadim 
Published: April 2023

ObjectiveThis study aims to compare the effectiveness of intranasal ipratropium bromide (INIB) to a placebo in reducing nasal symptoms, particularly rhinorrhea, and enhancing quality of life in non‐allergic rhinitis (NAR) patients.Study DesignSystematic review and meta‐analysis.MethodsA comprehensive review of the literature was conducted on Medline, Embase, and Cochrane libraries. Randomized controlled trials (RCTs) and non‐randomized comparative parallel group trials comparing IB nasal spray to placebo were included.ResultsFive RCTs assessed a total of 472 participants with a diagnosis of NAR. IB nasal spray 0.03% were used across all studies. IB has a better impact on decreasing rhinorrhea than the placebo, with a standardized mean difference (SMD) of 0.93 (95% CI 0.06–1.8). The mean change in rhinorrhea severity was 85% (95% CI 77–92%) and I^2 26% (p = 0.24). IB outperformed the placebo in terms of shortening the symptom's duration/day, as shown by an SMD of 0.35 (95% CI 0.15–0.55). The difference between treatments was noticeable within the first week and remained consistent throughout the treatment. Patients who were administered IB experienced a substantially greater improvement in physical and mental outcomes. Nasal adverse events with IB were generally intermittent and brief.ConclusionCompared with a placebo, IB nasal spray is both safe and effective in treating the rhinorrhea associated with NAR. IB significantly reduces the severity and duration of rhinorrhea. The treatment was determined to be beneficial by both patients and physicians and resulted in a better quality of life.Level of Evidence1 Laryngoscope, 133:3247–3255, 2023
Subwavelength Grating‐Assisted Contra‐Directional Couplers in Lithium Niobate on Insulator
Authors: Han Xu , Jiang Yongheng , Xiao Huifu , Yuan Mingrui , Nguyen Thach Giang , Boes Andreas , Ren Guanghui , Zhang Yong , Hao Qinfen , Su Yikai , Mitchell Arnan , Tian Yonghui 
Published: April 2023

AbstractGrating‐assisted contra‐directional couplers are important optical components in photonic integrated circuits (PICs), which can serve as fundamental building blocks for optical (de)multiplexers, switches, filters, and splitters, among others. Recently, lithium niobate on insulator (LNOI) has emerged as an attractive PIC platform with many important active photonic circuit components demonstrated, including electro‐optic modulators and second‐harmonic wavelength converters. Nevertheless, the LNOI component toolbox still lacks some passive photonic circuit components to fulfill the requirements of future high‐performance PICs. In this contribution, a subwavelength grating‐assisted contra‐directional coupler (GACDC) is proposed, designed, and experimentally demonstrated in a silicon nitride‐loaded LNOI waveguide platform. As an example of its applications, a three‐channel wavelength‐division (de)multiplexer is fabricated and experimentally demonstrated by cascading several GACDCs, with a narrow wavelength spacing of 3.2 nm (400 GHz). The measured device insertion loss of each channel is about 2.5 dB with low interchannel crosstalk below −20 dB. A fabrication tolerance analysis is also carried out, indicating that the proposed GACDCs are tolerant to waveguide width variations.
Withaferin A inhibits breast cancer‐induced osteoclast differentiation
Authors: Hahm Eun‐Ryeong , Kim Su‐Hyeong , Singh Shivendra V. 
Published: April 2023

AbstractBone is the most prone to metastatic spread of breast cancer cells for each subtype of the disease. Bone metastasis‐related complications including severe pain and pathological fractures affect patients' quality of life. Current treatment options including surgery, radiation, and bone‐targeted therapies (e.g., bisphosphonates) are costly or have serious adverse effects such as renal toxicity and osteonecrosis of the jaws. Therefore, a safe, inexpensive, and efficacious agent for prevention of breast cancer bone metastasis is urgently needed. Our previously published RNA sequencing analysis revealed that many genes implicated in bone remodeling and breast cancer bone metastasis were significantly downregulated by treatment with withaferin A (WA), which is a promising cancer chemopreventive agent derived from a medicinal plant (Withania somnifera). The present study investigated whether WA inhibits breast cancer induction of osteoclast differentiation. At plasma achievable doses, WA treatment inhibited osteoclast differentiation (osteoclastogenesis) induced by three different subtypes of breast cancer cells (MCF‐7, SK‐BR‐3, and MDA‐MB‐231). WA and the root extract of W. somnifera were equally effective for inhibition of breast cancer induction of osteoclast differentiation. This inhibition was accompanied by suppression of interleukin (IL)‐6, IL‐8, and receptor activator of nuclear factor‐κB ligand, which are pivotal osteoclastogenic cytokines. The expression of runt‐related transcription factor 2, nuclear factor‐κB, and SOX9 transcription factors, which positively regulate osteoclastogenesis, was decreased in WA‐treated breast cancer cells as revealed by confocal microscopy and/or immunoblotting. Taken together, these data suggest that WA could be a promising agent for prevention of breast cancer‐induced bone metastasis.
Inverse design of multiparameter antenna using hybrid machine learning‐driven training dataset
Authors: Ahmed Haroon , Xiaoping Zeng , Bello Hilal , Iqbal Nayyar 
Published: April 2023

AbstractConventional approaches for designing antennas are often time‐consuming and computationally expensive processes. In this letter, a time and resource‐efficient inverse design method for the multiparameter antenna is proposed which is capable of generating an effective dataset using the hybrid machine learning method. The proposed method filters the design variables and predicts the secondary variables based on the choice of primary design variables. The generated training dataset is used for the effective prediction of design variables based on multiple performance metrics. The proposed machine learning model utilized autoencoder for dimensionality reduction of multiple performance metrics and support vector regression is used for the prediction of design variables. To prove the effectiveness of the proposed model, a metasurface‐loaded low‐profile antenna is considered as a design example.
Effect of Massage on treatment of preterm feeding intolerance: Study protocol for a randomized controlled trial
Authors: Peng Nan , Fu Lizhen , Li Rui , Liang Xiaohua , Lu Qi 
Published: April 2023

AbstractAimTo evaluate the effectiveness of massage on treating feeding intolerance (FI).DesignA randomized, controlled, prospective clinical trial.MethodsA total of 104 preterm infants whose gestational age between 28 and 34 weeks and birth weight between 1000 and 2000 g with diagnosis of FI were recruited. Participants were stratified by birth weight (1000–1499 g or 1500–2000 g) and randomized to either the intervention group, who will receive 7 days of massage, or the control group. The primary outcome is the time to reach full enteral nutrition. Secondary outcomes include duration of FI, change of body index, length of hospitalization, change of gastric residual volume, abdomen circumference and defecation measurement before and after 7 days of intervention.ResultsResults of this study, which includes index on FI and physical development, have the potential to provide evidence that massage will alleviate symptoms of FI, and contribute to the long‐term positive outcome of preterm infants.
A fixed step distributed proximal gradient push‐pull algorithm based on integral quadratic constraint
Authors: Gao Wenhua , Xie Yibin , Ren Hongwei 
Published: April 2023

AbstractIn order to solve the distributed optimization problem with smooth + nonsmooth structure of the objective function on unbalanced directed networks, this article uses the proximal operator to deal with the nonsmooth part of the objective function, and designs and analyzes the fixed step proximal gradient Push‐Pull (PG‐Push‐Pull) algorithm. Firstly, the Integral Quadratic Constraint (IQC) suitable for proximal gradient Push‐Pull algorithm is given. When the smooth part of the objective function is strongly convex and the gradient satisfies the Lipchitz condition, the convergence of the algorithm is proved, and the convergence analysis is transformed into solving a linear matrix inequality by using this IQC framework. Its feasibility can ensure that the proposed algorithm has linear convergence rate, which is the same as that of Push‐Pull gradient algorithm. Then, the upper bound of convergence rate can be found by solving a Non‐Linear Programming problem. Finally, an example is given to analyze the upper bound of the convergence rate and verify the effectiveness of the proposed algorithm.
Square arrays of vertically aligned nanoporous cylinders from a linear ABC triblock terpolymer
Authors: Aissou Karim , Mumtaz Muhammad , Hermida‐Merino Daniel , Solano Eduardo , Cot Didier , Tarek Benkhaled Belkacem , Quémener Damien , Roualdes Stéphanie , Fleury Guillaume , Hadziioannou Georges 
Published: April 2023

AbstractVertically oriented nanoporous cylinders, demonstrating an unprecedented alignment persistence, were produced within freestanding poly(1,1‐dimethyl silacyclobutane)‐block‐polystyrene‐block‐poly(2‐vinyl pyridine) (PDMSB‐b‐PS‐b‐P2VP) layers (~15 μm thick) blended with short PS‐b‐P2VP chains by combining the non‐solvent induced phase separation (NIPS) process with a solvent vapor annealing (SVA) treatment. Here, the NIPS step allowed for the formation of an asymmetric and porous PDMSB‐b‐PS‐b‐P2VP film having a top surface exhibiting poorly‐defined nanopores while the subsequent SVA treatment enabled to produce a symmetric layer that possesses highly‐ordered cylindrical nanodomains arranged into a 27 nm period square array. As the unblended NIPS/SVA‐made PDMSB‐b‐PS‐b‐P2VP monoliths exhibited a mixed orientation of parallel and perpendicular cylinders, a blending strategy was used to achieve tetragonally‐packed PDMSB and P2VP nanodomains having an exceptional vertical alignment persistence. Such solvent‐annealed (3 h, CHCl3) PDMSB‐b‐PS‐b‐P2VP monoliths blended with 20 wt% of PS‐b‐P2VP chains showed a water permeance close to the value measured through their parent NIPS‐made terpolymer films having poorly‐ordered nanopores.
Boosting Glioblastoma Therapy with Targeted Pyroptosis Induction
Authors: Fang Xinggang , Chen Zhuo , Zhou Wenhui , Li Tongfei , Wang Man , Gao Yujiu , Ma Shinan , Feng Ying , Du Shiming , Lan Peimin , Chen Hanyu , Wei Jiarui , Zhang Sisi , Li Zixiang , Liu Xinglin , Zhang Hongbo , Guo Xingrong , Luo Jie 
Published: April 2023

AbstractGlioblastoma (GBM) is a highly aggressive cancer that currently lacks effective treatments. Pyroptosis has emerged as a promising therapeutic approach for cancer, but there is still a need for new pyroptosis boosters to target cancer cells. In this study, it is reported that Aloe‐emodin (AE), a natural compound derived from plants, can inhibit GBM cells by inducing pyroptosis, making it a potential booster for pyroptosis‐mediated GBM therapy. However, administering AE is challenging due to the blood‐brain barrier (BBB) and its non‐selectivity. To overcome this obstacle, AE@ZIF‐8 NPs are developed, a biomineralized nanocarrier that releases AE in response to the tumor's acidic microenvironment (TAM). Further modification of the nanocarrier with transferrin (Tf) and polyethylene glycol‐poly (lactic‐co‐glycolic acid) (PEG‐PLGA) improves its penetration through the BBB and tumor targeting, respectively. The results show that AE‐NPs (Tf‐PEG‐PLGA modified AE@ZIF‐8 NPs) significantly increase the intracranial distribution and tumor tissue accumulation, enhancing GBM pyroptosis. Additionally, AE‐NPs activate antitumor immunity and reduce AE‐related toxicity. Overall, this study provides a new approach for GBM therapy and offers a nanocarrier that is capable of penetrating the BBB, targeting tumors, and attenuating toxicity.
Molecular Engineering of NIR‐II/IIb Emitting AIEgen for Multimodal Imaging‐Guided Photo‐Immunotherapy
Authors: Xu Dazhuang , Ge Jianlin , An Yibo , Bai Shuang , Wang Ziying , Wu Shuaiying , Dai Qixuan , Lu Zhixiang , Liu Gang 
Published: April 2023

AbstractIn view of the great challenges related to the complexity and heterogeneity of tumors, efficient combination therapy is an ideal strategy for eliminating primary tumors and inhibiting distant tumors. A novel aggregation‐induced emission (AIE) phototherapeutic agent called T‐TBBTD is developed, which features a donor–acceptor–donor (D–A–D) structure, enhanced twisted molecule conformation, and prolonged second near‐infrared window (NIR‐II) emission. The multimodal imaging function of the molecule has significance for its treatment time window and excellent photothermal/photodynamic performance for multimode therapy. The precise molecular structure and versatility provide prospects for molecular therapy for anti‐tumor applications. Fluorescence imaging in the NIR‐II window offers advantages with enhanced spatial resolution, temporal resolution, and penetration depth. The prepared AIE@R837 NPs also have controllable performance for antitumor photo‐immunotherapy. Following local photo‐irradiation, AIE@R837 NPs generate abundant heat, and 1O2 directly kills tumor cells, induces immunogenic cell death (ICD) as a photo‐therapeutic effect, and releases R837, which enhances the synergistic effect of antigen presentation and contributes to the long‐lasting protective antitumor immunity. A bilateral 4T1 tumor model revealed that this photo‐immunotherapy can eliminate primary tumors. More importantly, it has a significant inhibitory effect on distant tumor growth. Therefore, this method can provide a new strategy for tumor therapy.
Regulating Electronic Structure of Iron Nitride by Tungsten Nitride Nanosheets for Accelerated Overall Water Splitting
Authors: Kavinkumar Thangavel , Yang Heejae , Sivagurunathan Amarnath Thangavel , Jeong Hayoung , Han Jeong Woo , Kim Do‐Heyoung 
Published: April 2023

AbstractTwo essential characteristics that are required for hybrid electrocatalysts to exhibit higher oxygen and hydrogen evolution reaction (OER and HER, respectively) activity are a favorable electronic configuration and a sufficient density of active sites at the interface between the two materials within the hybrid. In the present study, a hybrid electrocatalyst is introduced with a novel architecture consisting of coral‐like iron nitride (Fe2N) arrays and tungsten nitride (W2N3) nanosheets that satisfies these requirements. The resulting W2N3/Fe2N catalyst achieves high OER activity (268.5 mV at 50 mA cm−2) and HER activity (85.2 mV at 10 mA cm−2) with excellent long‐term durability in an alkaline medium. In addition, density functional theory calculations reveal that the individual band centers experience an upshift in the hybrid W2N3/Fe2N structure, thus improving the OER and HER activity. The strategy adopted here thus provides a valuable guide for the fabrication of cost‐effective multi‐metallic crystalline hybrids for use as multifunctional electrocatalysts.
Micellar Nanoreactors Enabled Site‐Selective Decoration of Pt Nanoparticles Functionalized Mesoporous SiO2/WO3‐x Composites for Improved CO Sensing
Authors: Ma Junhao , Xie Wenhe , Li Jichun , Yang Haitao , Wu Limin , Zou Yidong , Deng Yonghui 
Published: April 2023

AbstractSite‐selective and partial decoration of supported metal nanoparticles (NPs) with transition metal oxides (e.g., FeOx) can remarkably improve its catalytic performance and maintain the functions of the carrier. However, it is challenging to selectively deposit transition metal oxides on the metal NPs embedded in the mesopores of supporting matrix through conventional deposition method. Herein, a restricted in situ site‐selective modification strategy utilizing poly(ethylene oxide)‐block‐polystyrene (PEO‐b‐PS) micellar nanoreactors is proposed to overcome such an obstacle. The PEO shell of PEO‐b‐PS micelles interacts with the hydrolyzed tungsten salts and silica precursors, while the hydrophobic organoplatinum complex and ferrocene are confined in the hydrophobic PS core. The thermal treatment leads to mesoporous SiO2/WO3‐x framework, and meanwhile FeOx nanolayers are in situ partially deposited on the supported Pt NPs due to the strong metal‐support interaction between FeOx and Pt. The selective modification of Pt NPs with FeOx makes the Pt NPs present an electron‐deficient state, which promotes the mobility of CO and activates the oxidation of CO. Therefore, mesoporous SiO2/WO3‐x‐FeOx/Pt based gas sensors show a high sensitivity (31 ± 2 in 50 ppm of CO), excellent selectivity, and fast response time (3.6 s to 25 ppm) to CO gas at low operating temperature (66 °C, 74% relative humidity).
A Digital−Analog Bimodal Memristor Based on CsPbBr3 for Tactile Sensory Neuromorphic Computing
Authors: Chen Delu , Zhi Xinrong , Xia Yifan , Li Shuhan , Xi Benbo , Zhao Chun , Wang Xin 
Published: April 2023

AbstractMemristor with digital and analog bipolar bimodal resistive switching offers a promising opportunity for the information‐processing component. However, it still remains a huge challenge that the memristor enables bimodal digital and analog types and fabrication of artificial sensory neural network system. Here, a proposed CsPbBr3‐based memristor demonstrates a high ON/OFF ratio (>103), long retention (>104 s), stable endurance (100 cycles), and multilevel resistance memory, which acts as an artificial synapse to realize fundamental biological synaptic functions and neuromorphic computing based on controllable resistance modulation. Moreover, a 5 × 5 spinosum‐structured piezoresistive sensor array (sensitivity of 22.4 kPa−1, durability of 1.5 × 104 cycles, and fast response time of 2.43 ms) is constructed as a tactile sensory receptor to transform mechanical stimuli into electrical signals, which can be further processed by the CsPbBr3‐based memristor with synaptic plasticity. More importantly, this artificial sensory neural network system combined the artificial synapse with 5 × 5 tactile sensing array based on piezoresistive sensors can recognize the handwritten patterns of different letters with high accuracy of 94.44% under assistance of supervised learning. Consequently, the digital−analog bimodal memristor would demonstrate potential application in human–machine interaction, prosthetics, and artificial intelligence.
Silk‐based conductive materials for smart biointerfaces
Authors: Fu Fanfan , Liu Dongmei , Wu Yilun 
Published: April 2023

AbstractSilk‐based conductive materials are widely used in biointerface applications, such as artificial epidermal sensors, soft and implantable bioelectronics, and tissue/cell scaffolds. Such biointerface materials require coordinated physicochemical, biological, and mechanical properties to meet current practical needs and future sophisticated demands. However, it remains a challenge to formulate silk‐based advanced materials with high electrical conductivity, good biocompatibility, mechanical robustness, and in some cases, tissue adhesion ability without compromising other physicochemical properties. In this review, we highlight recent progress in the development of functional conductive silk‐based advanced materials with different morphologies. Then, we reviewed the advanced paradigms of these silk materials applied as wearable flexible sensors, implantable electronics, and tissue/cell engineering with perspectives on the application challenges. Silk‐based conductive materials can serve as promising building blocks for biomedical devices in personalized healthcare and other fields of bioengineering.