bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inhibition of cancer-type amino acid transporter LAT1 suppresses B16-F10 melanoma metastasis in mouse models
Authors: Shi Zitong , Kaneda-Nakashima Kazuko , Ohgaki Ryuichi , Xu Minhui , Okanishi Hiroki , Endou Hitoshi , Nagamori Shushi , Kanai Yoshikatsu 
Published: August 2023

AbstractMetastasis is the leading cause of mortality in cancer patients. L-type amino acid transporter 1 (LAT1, SLC7A5) is a Na+-independent neutral amino acid transporter highly expressed in various cancers to support their growth. Although high LAT1 expression is closely associated with cancer metastasis, its role in this process remains unclear. This study aimed to investigate the effect of LAT1 inhibition on cancer metastasis using B16-F10 melanoma mouse models. Our results demonstrated that nanvuranlat (JPH203), a high-affinity LAT1-selective inhibitor, suppressed B16-F10 cell proliferation, migration, and invasion. Similarly, LAT1 knockdown reduced cell proliferation, migration, and invasion. LAT1 inhibitors and LAT1 knockdown diminished B16-F10 lung metastasis in a lung metastasis model. Furthermore, nanvuranlat and LAT1 knockdown suppressed lung, spleen, and lymph node metastasis in an orthotopic metastasis model. We discovered that the LAT1 inhibitor reduced the cell surface expression of integrin αvβ3. Our findings revealed that the downregulation of the mTOR signaling pathway, induced by LAT1 inhibitors, decreased the expression of integrin αvβ3, contributing to the suppression of metastasis. These results highlight the critical role of LAT1 in cancer metastasis and suggest that LAT1 inhibition may serve as a potential target for anti-metastasis cancer therapy.
A denoising method based on cyclegan with attention mechanisms for improving the hidden distress features of pavement
Authors: Liu Lei , Cao Ligang , Lu Congde , Yang Xingtao , Wei Tongbiao , Li Xiaocui , Jiang Hengxin , Yang Lin 
Published: August 2023

AbstractGround Penetrating Radar (GPR) is one of the most used devices for road structural damages detection. However, due to the different roadbed conditions and various disturbances in the nearby environment during detection, there are great difficulties in interpreting detection images, which also hinders automatic detection based on deep learning. In this work, we design a GPR image denoising method based on Cyclegan. We select the most suitable generator and add different attention mechanisms. After denoising the natural GPR road detection image, using the Yolo (You Only Look Once) to test the accuracy of the original image and the denoised image after adding different attention mechanisms. The detection accuracy is improved by 30%. The results of the detection network and the evaluation of the denoised images by GPR image interpreters indicate that the method has the following advantages: lower requirements for training data sets, a wide range of data sources, low cost, good denoising effect, and automatic detection of GPR images. It is of great help to the automatic detection of GPR images.
An enzyme-based system for extraction of small extracellular vesicles from plants
Authors: Zhao Qing , Liu Guilong , Liu Fubin , Xie Manlin , Zou Yanfang , Wang Shengpeng , Guo Zhaodi , Dong Jiaming , Ye Jiali , Cao Yue , Zheng Lei , Zhao Kewei 
Published: August 2023

AbstractPlant-derived nanovesicles (NVs) and extracellular vesicles (EVs) are the next generation of nanocarrier platforms for biotherapeutics and drug delivery. EVs exist not only in the extracellular space, but also within the cell wall. Due to the limitations of existing isolation methods, the EVs extraction efficiency is low, and a large amount of plant material is wasted, which is of concern for rare and expensive medicinal plants. We proposed and validated a novel method for isolation of plant EVs by enzyme degradation of the plant cell wall to release the EVs. The released EVs can easily be collected. The new method was used for extraction of EVs from the roots of Morinda officinalis (MOEVs). For comparison, nanoparticles from the roots (MONVs) were extracted using the grinding method. The new method yielded a greater amount of MOEVs, and the vesicles had a smaller diameter compared to MONVs. Both MOEVs and MONVs were readily absorbed by endothelial cells without cytotoxic effect and promoted the expression of miR-155. The promotion of miR-155 by MOEVs was dose-dependent. More importantly, we found that MOEVs and MONVs were enriched toward bone tissue. These results support our hypothesis that EVs in plants could be efficiently extracted by enzymatic cell wall digestion and confirm the potential of MOEVs as therapeutic agents and drug carriers.
Nrf2 alleviates spaceflight-induced immunosuppression and thrombotic microangiopathy in mice
Authors: Shimizu Ritsuko , Hirano Ikuo , Hasegawa Atsushi , Suzuki Mikiko , Otsuki Akihito , Taguchi Keiko , Katsuoka Fumiki , Uruno Akira , Suzuki Norio , Yumoto Akane , Okada Risa , Shirakawa Masaki , Shiba Dai , Takahashi Satoru , Suzuki Takafumi , Yamamoto Masayuki 
Published: August 2023

AbstractSpaceflight-related stresses impact health via various body systems, including the haematopoietic and immune systems, with effects ranging from moderate alterations of homoeostasis to serious illness. Oxidative stress appears to be involved in these changes, and the transcription factor Nrf2, which regulates expression of a set of cytoprotective and antioxidative stress response genes, has been implicated in the response to spaceflight-induced stresses. Here, we show through analyses of mice from the MHU-3 project, in which Nrf2-knockout mice travelled in space for 31 days, that mice lacking Nrf2 suffer more seriously from spaceflight-induced immunosuppression than wild-type mice. We discovered that a one-month spaceflight-triggered the expression of tissue inflammatory marker genes in wild-type mice, an effect that was even more pronounced in the absence of Nrf2. Concomitant with induction of inflammatory conditions, the consumption of coagulation-fibrinolytic factors and platelets was elevated by spaceflight and further accelerated by Nrf2 deficiency. These results highlight that Nrf2 mitigates spaceflight-induced inflammation, subsequent immunosuppression, and thrombotic microangiopathy. These observations reveal a new strategy to relieve health problems encountered during spaceflight.
O304 ameliorates hyperglycemia in mice by dually promoting muscle glucose effectiveness and preserving β-cell function
Authors: Norlin Stefan , Axelsson Jan , Ericsson Madelene , Edlund Helena 
Published: August 2023

AbstractAlthough insulin mediated glucose uptake in skeletal muscle is a major mechanism ensuring glucose disposal in humans, glucose effectiveness, i.e., the ability of glucose itself to stimulate its own uptake independent of insulin, accounts for roughly half of the glucose disposed during an oral glucose tolerance test. Both insulin dependent and insulin independent skeletal muscle glucose uptake are however reduced in individuals with diabetes. We here show that AMPK activator O304 stimulates insulin independent glucose uptake and utilization in skeletal muscle and heart in vivo, while preventing glycogen accumulation. Combined glucose uptake and utilization requires an increased metabolic demand and we show that O304 acts as a mitochondrial uncoupler, i.e., generates a metabolic demand. O304 averts gene expression changes associated with metabolic inflexibility in skeletal muscle and heart of diabetic mice and reverts diabetic cardiomyopathy. In Type 2 diabetes, insulin resistance elicits compensatory insulin hypersecretion, provoking β-cell stress and eventually compensatory failure. In db/db mice O304 preserves β-cell function by preventing decline in insulin secretion, β-cell mass, and pancreatic insulin content. Thus, as a dual AMPK activator and mitochondrial uncoupler O304 mitigates two central defects of T2D; impaired glucose uptake/utilization and β-cell failure, which today lack effective treatment.
A spinwave Ising machine
Authors: Litvinenko Artem , Khymyn Roman , González Victor H. , Ovcharov Roman , Awad Ahmad A. , Tyberkevych Vasyl , Slavin Andrei , Åkerman Johan 
Published: August 2023

AbstractTime-multiplexed Coherent Ising Machines (CIMs) have demonstrated promising results in rapidly solving large-scale combinatorial problems. However, CIMs remain relatively large and power-demanding. Here, we demonstrate a spinwave-based Ising machine (SWIM) that due to the low spinwave group velocity allows for sufficient miniaturization and reduced power consumption. The SWIM is implemented using a 10-mm-long 5-μm-thick Yttrium Iron Garnet film with off-the-shelf microwave components and can support an 8-spin MAX-CUT problem and solve it in less than 4 μs consuming only 7 μJ. As the SWIM minimizes its energy, we observe that the spin states can demonstrate both uniform and domain-propagation-like switching. The developed SWIM has the potential for substantial further miniaturization with reduction of power consumption, scalability in the number of supported spins, increase of operational speed, and may become a versatile platform for commercially feasible high-performance solvers of combinatorial optimization problems.
Randomly stacked open cylindrical shells as functional mechanical energy absorber
Authors: Sano Tomohiko G. , Hohnadel Emile , Kawata Toshiyuki , Métivet Thibaut , Bertails-Descoubes Florence 
Published: August 2023

AbstractStructures with artificially engineered mechanical properties, often called mechanical metamaterials, are interesting for their tunable functionality. Various types of mechanical metamaterials have been proposed in the literature, designed to harness light or magnetic interactions, structural instabilities in slender or hollow structures, and contact friction. However, most of the designs are ideally engineered without any imperfections, in order to perform deterministically as programmed. Here, we study the mechanical performance of randomly stacked cylindrical shells, which act as a disordered mechanical metamaterial. Combining experiments and simulations, we demonstrate that the stacked shells can absorb and store mechanical energy upon compression by exploiting large deformation and relocation of shells, snap-fits, and friction. Although shells are oriented randomly, the system exhibits statistically robust mechanical performance controlled by friction and geometry. Our results demonstrate that the rearrangement of flexible components could yield versatile and predictive mechanical responses.
Vitamin B12 conveys a protective advantage to phycosphere-associated bacteria at high temperatures
Authors: Mars Brisbin Margaret , Schofield Alese , McIlvin Matthew R , Krinos Arianna I , Alexander Harriet , Saito Mak A 
Published: August 2023

Abstract
Many marine microbes require vitamin B12 (cobalamin) but are unable to synthesize it, necessitating reliance on other B12-producing microbes. Thus, phytoplankton and bacterioplankton community dynamics can partially depend on the production and release of a limiting resource by members of the same community. We tested the impact of temperature and B12 availability on the growth of two bacterial taxa commonly associated with phytoplankton: Ruegeria pomeroyi, which produces B12 and fulfills the B12 requirements of some phytoplankton, and Alteromonas macleodii, which does not produce B12 but also does not strictly require it for growth. For B12-producing R. pomeroyi, we further tested how temperature influences B12 production and release. Access to B12 significantly increased growth rates of both species at the highest temperatures tested (38 °C for R. pomeroyi, 40 °C for A. macleodii) and A. macleodii biomass was significantly reduced when grown at high temperatures without B12, indicating that B12 is protective at high temperatures. Moreover, R. pomeroyi produced more B12 at warmer temperatures but did not release detectable amounts of B12 at any temperature tested. Results imply that increasing temperatures and more frequent marine heatwaves with climate change will influence microbial B12 dynamics and could interrupt symbiotic resource sharing.
Interprofessional Collaboration in Teleaudiology
Authors: Coco Laura , Robler Samantha Kleindienst 
Published: August 2023

Purpose:
Teleaudiology, or the delivery of audiology services remotely, can improve patients' access to care by reducing the travel burden required for traditional in-person appointments. Teleaudiology also connects professionals across distances and, therefore, offers unique opportunities to collaborate on interprofessional teams. In health care, interprofessional collaboration (IPC) happens when professionals from different disciplines work together to deliver high-quality health care. In this viewpoint article, we discuss the role of IPC in teleaudiology, including best practices for effective collaboration. We illustrate several examples from rural Alaska to central Texas and the Arizona/Mexico border where teams collaborating across professions is an important element of teleaudiology service delivery. We also describe potential challenges to IPC in the context of teleaudiology and suggest strategies to overcome them.

Conclusions:
Strong IPCs offer teleaudiology team members the opportunity to achieve more together than they would individually. As teleaudiology grows in use and becomes part of standard of care, there will be a greater opportunity and need for audiologists to work in partnership with individuals from diverse professional backgrounds and share resources to deliver high-quality and accessible patient-centered care.
Adaptive event‐triggered dynamic output feedback control for networked control systems under hybrid attacks
Authors: Liu Xia , Zhou Xiaoyu , Xiang Biao 
Published: August 2023

AbstractThis paper concentrates on network congestion and security issue for networked control systems under the hybrid attacks. The hybrid attacks including deception attack, replay attack and denial‐of‐service attack are modelled as Bernoulli random process. A general form adaptive event‐triggered scheme (AETS) under the hybrid attacks is designed to alleviate the network congestion and save communication resources utilizing adaptive threshold and the weighted average of data packets. Meanwhile, the security issue under the hybrid attacks is addressed by a dynamic output feedback controller (DOFC) based on the AETS. Moreover, the sufficient conditions are obtained by a piecewise Lyapunov function to guarantee that the closed‐loop system is exponentially mean‐square stable. A practical experiment on networked motor control system verifies the effectiveness of the proposed scheme. The proposed scheme can not only save communication resources to further alleviate network congestion, but also defense the hybrid attacks in the network.
Resilient annular finite‐time synchronization for master‐slave systems under scaling attacks
Authors: Murugesan Sathishkumar , Ishizaki Takayuki , Liu Yen‐Chen 
Published: August 2023

AbstractThis paper investigates the resilient annular finite‐time synchronization and boundedness problems for master‐slave systems under dynamic event‐triggered scheme (ETS), actuator faults, and scaling attacks. A comprehensive model for characterizing scaling attacks is presented. The switched dynamic ETS is developed to reduce the bandwidth pressure. Two different internal variables are designed, each of which changes based on the switching manifold. Simultaneously, the resilient problem of switched master‐slave systems with respect to stochastic scaling attacks is considered, where there are limited malicious signals introduced by the adversary. Based on the Lyapunov‐like function involving the different internal dynamic variables, a set of criteria is established in the form of linear matrix inequalities (LMIs), which guarantee the annular finite‐time boundedness. Finally, two examples are presented to verify the theoretical findings.
Robust stability analysis for uncertain neutral type descriptor systems with mixed delays
Authors: Chen Wenbin , Wang Songhua , Gao Fang , Zhuang Guangming , Liu Wei 
Published: August 2023

AbstractThe issue of robust stability here is carefully thought about for uncertain neutral type descriptor systems (NTDSs) with mixed delays. An augmented Lyapunov–Krasovskii functional considering the cross information of the singular matrix and state delay derivative is constructed. With the help of the zero‐value equation technique and an improved matrix inequality, a novel delay‐dependent admissible criterion is developed to make sure of the regularity, non‐impulsiveness, and stability of the NTDSs. On this basis, the robust stability of the uncertain NTDSs is further explored, and a novel robust stability criterion is developed. These criteria have less conservatism. Through three number‐based examples, some comparisons are provided to show the superiority and effectiveness of our method.
Feature fusion over hyperbolic graph convolution networks for video summarisation
Authors: Wu GuangLi , Wang ShengTao , Xu ShiPeng 
Published: August 2023

AbstractA novel video summarisation method called the Hyperbolic Graph Convolutional Network (HVSN) is proposed, which addresses the challenges of summarising edited videos and capturing the semantic consistency of video shots at different time points. Unlike existing methods that use linear video sequences as input, HVSN leverages Hyperbolic Graph Convolutional Networks (HGCNs) and an adaptive graph convolutional adjacency matrix network to learn and aggregate features from video shots. Moreover, a feature fusion mechanism based on the attention mechanism is employed to facilitate cross‐module feature fusion. To evaluate the performance of the proposed method, experiments are conducted on two benchmark datasets, TVSum and SumMe. The results demonstrate that HVSN achieves state‐of‐the‐art performance, with F1‐scores of 62.04% and 50.26% on TVSum and SumMe, respectively. The use of HGCNs enables the model to better capture the complex spatial structures of video shots, and thus contributes to the improved performance of video summarisation.
An inductive power transfer approach to power and signal synchronous transmission using binary frequency shift keying communication
Authors: Liu Tengfei , Yu Dongsheng , Maxwell Chiemeka Loveth , Yu Samson S. , Cheng He 
Published: August 2023

AbstractTo satisfy the requirements for transferring signals in an inductively coupled power transfer system, a novel power and signal composite modulation strategy is proposed using the binary frequency shift keying technology. The information‐carrying inverter control signal is generated by the logical combination of a signal carrier and the inverter control pulse using AND operation. Then a binary frequency shift keying method is used to modulate the signal carrier, and the resulting voltage ripples are injected to the bus at the output side as the signal carrier, to realize the signal and power synchronous transmission. At the signal receiver side, the output voltage ripple is sampled and filtered, and fast Fourier transform (FFT) is adopted for signal demodulation. The experimental test reveals that the proposed synchronous transmission method can achieve signal modulation and injection by modulating the frequency of power switches, and the transmitted signal can be demodulated by using FFT method with small time delay. This research can provide a new method for realizing power and signal synchronous transmission in an inductively coupled power transfer system.
Diffusion‐based conditional wind power forecasting via channel attention
Authors: Peng Hongqiao , Sun Hui , Luo Shuxin , Zuo Zhengmin , Zhang Shixu , Wang Zhixian , Wang Yi 
Published: August 2023

AbstractWind energy is one of the most significant renewable sources of energy while accurate and reliable wind power forecasting methods may greatly benefit power system planning and scheduling. Recently, many machine learning algorithms have shown significant advantages in how to extract temporal features for wind power forecasting. However, wind power curves in the time domain frequently display intermittent features and significant uncertainty, which is not favorable to precise and reliable forecasting. In this paper, the Diffusion and Channel Attention‐based Wind Power Forecasting (DC‐WPF) framework is proposed, which transforms wind power data into the frequency domain while applying advanced channel attention techniques to aid the model in capturing the frequency domain information and ultimately enhancing accuracy. With high‐accuracy results, DC‐WPF then proposes a diffusion‐based framework to transform the point forecasting results into probabilistic forecasts to capture the uncertainty. Finally, extensive experiments on six wind power plants show that our method can improve the point forecasting accuracy of wind power and provide advanced probabilistic forecasts at a multi‐time scale.
Early surge detection in a mGT plant coupled with large volumes
Authors: Niccolini Marmont Du Haut Champ Carlo Alberto , Silvestri Paolo , Reggio Federico , Ferrari Mario Luigi , Massardo Aristide Fausto 
Published: August 2023

The present work features post-processing methods applied to vibro-acoustic data acquired from a T100 micro gas turbine (mGT) plant coupled with different volume interposed plenums. Such experimental campaign was conducted by relying on a test bench developed at the University of Genoa for hybrid systems emulation. Nonetheless, the obtained results can be generalized to all advanced cycles in which a mGT is coupled with further external elements which cause an increase of plant overall volume size. Since in this case a 100 kW mGT was employed, the interposed vessel was placed between heat recovery system outlet and combustor inlet, such as in common cases relevant to small size plants.Post-processing techniques carried out on acoustic and vibrational measurements can make available innovative diagnostic tools and predictive solutions by relying on appropriate instability indicators which are defined basing only on microphone and accelerometer experimental data.The main results presented in this work are relevant to rotating stall and incipient surge proper identification. Such investigation has been performed to increase the knowledge about such dangerous compressor working conditions; indeed, energy systems characterized by significant interposed volumes coupled with centrifugal compressors feature issues relevant to structural damaging due to surge and rotating stall.
Quantifying the Subjective Experience of Nasal Obstruction: A Review
Authors: Rossi Meyer Monica K. , Most Sam P. 
Published: August 2023

AbstractNasal obstruction is an exceedingly common problem and challenging to treat due to its multifactorial etiology. Therefore, measuring treatment outcomes of nasal obstruction can be equally complex yet vital to appropriately assessing symptom improvement or resolution. Both physiologic and anatomic assessments of the nasal airway exist in addition to validated patient-reported outcome measures (PROMs), which objectify subjective nasal obstruction and sinonasal symptoms. Correlation between objective and subjective treatment outcome measures is controversial with clinical guidelines favoring the use of PROMs for surgical treatment of nasal obstruction. In this review, the anatomic and physiologic measurements of the nasal airway and validated PROMs will be discussed, as well as the rationale for implementing PROMs into the rhinoplasty surgeon's practice.