bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulation of TRIB1 abundance in hepatocyte models in response to proteasome inhibition
Authors: Soubeyrand Sébastien , Lau Paulina , McPherson Ruth 
Published: June 2023

AbstractTribbles related homolog 1 (TRIB1) contributes to lipid and glucose homeostasis by facilitating the degradation of cognate cargos by the proteasome. In view of the key metabolic role of TRIB1 and the impact of proteasome inhibition on hepatic function, we continue our exploration of TRIB1 regulation in two commonly used human hepatocyte models, transformed cell lines HuH-7 and HepG2. In both models, proteasome inhibitors potently upregulated both endogenous and recombinant TRIB1 mRNA and protein levels. Increased transcript abundance was unaffected by MAPK inhibitors while ER stress was a weaker inducer. Suppressing proteasome function via PSMB3 silencing was sufficient to increase TRIB1 mRNA expression. ATF3 was required to sustain basal TRIB1 expression and support maximal induction. Despite increasing TRIB1 protein abundance and stabilizing bulk ubiquitylation, proteasome inhibition delayed but did not prevent TRIB1 loss upon translation block. Immunoprecipitation experiments indicated that TRIB1 was not ubiquitylated in response to proteasome inhibition. A control bona fide proteasome substrate revealed that high doses of proteasome inhibitors resulted in incomplete proteasome inhibition. Cytoplasm retained TRIB1 was unstable, suggesting that TRIB1 lability is regulated prior to its nuclear import. N-terminal deletion and substitutions were insufficient to stabilize TRIB1. These findings identify transcriptional regulation as a prominent mechanism increasing TRIB1 abundance in transformed hepatocyte cell lines in response to proteasome inhibition and provide evidence of an inhibitor resistant proteasome activity responsible for TRIB1 degradation.
Fast 3D gravity and magnetic modelling using midpoint quadrature and 2D FFT
Authors: Wang Xulong , Liu Jianxin , Li Jian , Chen Hang 
Published: June 2023

AbstractTo avoid the problem of the traditional methods consuming large computational resources to calculate the kernel matrix and 2D discrete convolution, we present a novel approach for 3D gravity and magnetic modelling. This method combines the midpoint quadrature method with a 2D fast Fourier transform (FFT) to calculate the gravity and magnetic anomalies with arbitrary density or magnetic susceptibility distribution. In this scheme, we apply the midpoint quadrature method to calculate the volume element of the integral. Then, the convolution of the weight coefficient matrix with density or magnetization is efficiently computed via the 2D FFT. Finally, the accuracy and efficiency of the proposed algorithm are validated by using an artificial model and a real topography model. The numerical results demonstrate that the proposed algorithm’s computation time and the memory requirement are decreased by approximately two orders of magnitude compared with the space-wavenumber domain method.
Short-term outcomes and cost-effectiveness of laparoscopic gastrectomy with articulating instruments for gastric cancer compared with the robotic approach
Authors: Lee Chang Min , Park Sungsoo , Park Sung Hyun , Kim Ki-Yoon , Cho Minah , Kim Yoo Min , Hyung Woo Jin , Kim Hyoung-Il 
Published: June 2023

AbstractTo overcome the limitations of laparoscopic surgery, robotic systems have been commonly used in the era of minimally invasive surgery despite their high cost. However, the articulation of instruments can be achieved without a robotic system at lower cost using articulating laparoscopic instruments (ALIs). Between May 2021 and May 2022, perioperative outcomes following laparoscopic gastrectomy using ALIs versus robotic gastrectomy were compared. A total of 88 patients underwent laparoscopic gastrectomy using ALIs, while 96 underwent robotic gastrectomy. Baseline characteristics were similar between the groups except for a higher proportion of patients with a medical history in the ALI group (p = 0.013). Clinicopathologic and perioperative outcomes were not significantly different between the groups. However, the operation time was significantly shorter in the ALI group (p = 0.026). No deaths occurred in either group. In conclusion, laparoscopic gastrectomy using ALIs was associated with comparable perioperative surgical outcomes and a shorter operation time compared to robotic gastrectomy in this prospective cohort study.
Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application
Authors: Tarik Hania , Hassan Shahzad , Naqvi Rizwan Ali , Rubab Saddaf , Tariq Usman , Hamdi Monia , Elmannai Hela , Kim Ye Jin , Cha Jae‐Hyuk 
Published: June 2023

AbstractThe Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities. While several inventions exist to aid people with blindness in their everyday lives, the tools are not adequate in terms of accessibility and efficiency. Smart cane is a useful technology that is being researched and developed to enhance navigation of the visually impaired through smart obstacle detection. Moreover, artificial intelligence is being incorporated in these devices to provide users with a sense of vision and allow them greater independence. However, these devices are expensive and often do not contain the desired functionality in a compact single device. The research by I‐CANe aims to create a low‐cost, single device system that is equipped with obstacle detection and identification features to enhance navigation for users without using multiple detection devices. The cane will also incorporate wireless communications for safety features such as Global Positioning System tracking and Global System for Mobile communication to allow maximum independence of the user.
Enhancing low‐priority traffic reconfiguration designs in mixed‐critical avionics networks
Authors: Li J. , Li Q. , Xiong H. 
Published: June 2023

AbstractIn avionics system networking, mixed‐critical networks are commonly used to integrate system applications with different levels of guarantees for various traffic classes on a shared resource platform, effectively addressing issues such as cabling, cost, weight, volume, power consumption, etc. However, current fault recovery and reconfiguration techniques mainly focus on high‐priority time‐triggered (TT) traffic, often neglecting the impact of TT traffic reconfiguration on low‐priority traffic. This paper proposes an avionics mixed‐critical networking approach based on the IEEE 802.1CB protocol, which is shown to be more effective for the post‐failure recovery of Rate‐Constrained (RC) traffic (a typical type of low‐priority traffic in TT networks). Furthermore, an elastic reconfiguration algorithm is presented to ensure quality of service for RC traffic during and after reconfiguration, preventing arbitrary application and traffic shutdown triggered by TT traffic reconfiguration. Simulations demonstrate that the proposed approach and algorithm can significantly improve the post‐failure recovery ratio of RC traffic, as well as guarantee quality of service and network throughput of RC traffic during and after reconfiguration to a certain extent.
Frequency reconfigurable antenna based on epsilon negative transmission lines
Authors: Luo Hao‐nan , Yang Xiao‐lin 
Published: June 2023

AbstractA novel coplanar waveguide (CPW)‐fed frequency reconfigurable antenna based on epsilon negative transmission line (ENG‐TL) is presented in this letter. By controlling the switch, the parameters of the ENG‐TL structure unit are changed, and the antenna can work on different frequency bands. By using varactor diode as a switch, the resonant frequency of the antenna continuously varies from 2.55 to 3.45 GHz while the bandwidth of 450 MHz keeps unchanged, which is suitable for n77 of sub‐6 GHz. But by using the PIN diode as a switch, the antenna can be reconfigured on three modes, lower single‐band (2.33–2.81 GHz), dual‐band (1.67–1.81 GHz and 3.32–3.60 GHz), and higher single‐band (3.98–4.22 GHz). The designed antenna is suitable for use in WLAN, DCS, and WiMAX (2.5/3.3 GHz). The simulated results are in good agreement with the measured results.
A passive optical fibre sensor based on Fabry‐Perot interferometry for bipolar electrostatic monitoring of insulating dielectrics
Authors: Zhang Jiawei , Ye Zifan , Wang Li , Zhang Zelei , Xu Fan , Dang Weichen , Matsumoto Takao , Diaham Sombel , Putson Chatchai 
Published: June 2023

AbstractThe measurement of the surface charge on the insulating dielectrics is critical to estimate the insulation strength of electrical equipment in operation. Unavoidable interactions with the electromagnetic field, however, generally result in distortion measurement of active sensor. Thus, it is of great significance to investigate a passive sensor for monitoring the deposited charge. Here, a passive optical fibre electrostatic sensor is developed on the principle of Fabry–Perot interference to quantify the surface potential of the insulating dielectrics. The sensitivity of quantifying the electrostatic charge is explored in terms of the wavelength shift in the interference spectrum, and the linear correlation is 0.99. Meanwhile, the sensor can identify a negative quadratic trend with the increase of the surface roughness of the insulating dielectrics. The merits of the proposed sensor such as passive monitoring, bipolar electrostatic detection, and the excellent ability of anti‐electromagnetic interference are highlighted in the results. Hence, this sensor can serve as an effective tool to monitor the electrostatic charge in the fields of smart electrical equipment, fuel transportation, aerospace, integrate circuit etc.
Boost power factor correction converter with adaptive harmonic compensation control
Authors: Zhang Rongfei , Liu Xueshan , Zhou Shuhan , Wang Chuntao , Zhou Qun 
Published: June 2023

AbstractIn low‐voltage distribution systems, the increased penetration of power electronic devices leads to the decentralization of harmonic sources, which puts the sensitive loads or communication systems in the risk status. The conventional methods of point‐to‐point harmonic control are not applicable. In order to solve this problem without increasing additional investments, this paper focuses on mitigating the harmonic interference through the power factor correction (PFC) converter. Hence, a critical conduction mode (CRM) single‐phase boost PFC converter with adaptive harmonic compensation (AHC) control is proposed to reduce the harmonic interference at user side. Firstly, the feed‐forward control loop of a PFC converter is decoupled into the fundamental branch and harmonic branch to trace the harmonic interference and generate the compensation current. Then the compensation gain is designed by the compensation loop gain and compensation capacity of PFC converter. Meanwhile, the characteristics of the PFC converter are analyzed to study the effect of the AHC control on the active power transmission and output load, which can provide important support for the proposed method in application. Finally, a 160‐W experimental prototype is built to verify the effectiveness of the proposed AHC control.
Identification of genomic biomarkers and their pathway crosstalks for deciphering mechanistic links in glioblastoma
Authors: Quddusi Darrak Moin , Bajcinca Naim 
Published: June 2023

AbstractGlioblastoma is a grade IV pernicious neoplasm occurring in the supratentorial region of brain. As its causes are largely unknown, it is essential to understand its dynamics at the molecular level. This necessitates the identification of better diagnostic and prognostic molecular candidates. Blood‐based liquid biopsies are emerging as a novel tool for cancer biomarker discovery, guiding the treatment and improving its early detection based on their tumour origin. There exist previous studies focusing on the identification of tumour‐based biomarkers for glioblastoma. However, these biomarkers inadequately represent the underlying pathological state and incompletely illustrate the tumour because of non‐recursive nature of this approach to monitor the disease. Also, contrary to the tumour biopsies, liquid biopsies are non‐invasive and can be performed at any interval during the disease span to surveil the disease. Therefore, in this study, a unique dataset of blood‐based liquid biopsies obtained primarily from tumour‐educated blood platelets (TEP) is utilised. This RNA‐seq data from ArrayExpress is acquired comprising human cohort with 39 glioblastoma subjects and 43 healthy subjects. Canonical and machine learning approaches are applied for identification of the genomic biomarkers for glioblastoma and their crosstalks. In our study, 97 genes appeared enriched in 7 oncogenic pathways (RAF‐MAPK, P53, PRC2‐EZH2, YAP conserved, MEK‐MAPK, ErbB2 and STK33 signalling pathways) using GSEA, out of which 17 have been identified participating actively in crosstalks. Using PCA, 42 genes are found enriched in 7 pathways (cytoplasmic ribosomal proteins, translation factors, electron transport chain, ribosome, Huntington's disease, primary immunodeficiency pathways, and interferon type I signalling pathway) harbouring tumour when altered, out of which 25 actively participate in crosstalks. All the 14 pathways foster well‐known cancer hallmarks and the identified DEGs can serve as genomic biomarkers, not only for the diagnosis and prognosis of Glioblastoma but also in providing a molecular foothold for oncogenic decision making in order to fathom the disease dynamics. Moreover, SNP analysis for the identified DEGs is performed to investigate their roles in disease dynamics in an elaborated manner. These results suggest that TEPs are capable of providing disease insights just like tumour cells with an advantage of being extracted anytime during the course of disease in order to monitor it.
Lead‐free versus PZT: Acoustic characterization of ultrasonic immersion transducers fabricated with lead‐free NBT‐BT piezoceramic
Authors: Kelley Thomas R. P. 
Published: June 2023

AbstractAn evaluation of the performance of a recently developed formulation of (lead‐free) Sodium‐Bismuth titanate – Barium Titanate (NBT‐BT) piezoceramic is presented through the construction and testing of several immersion transducers based around a new material formulation “Pz12” from CTS Ferroperm (Kvistgaard, Denmark). Results are intended to yield insight into the applicability of this lead‐free material for use within industrial, NDT, medical or underwater sectors through the reporting of experimentally realised performance characteristics. Results of several performance tests are reported including: pulse‐echo amplitude, electrical insertion loss, transducer efficiency, power output and transmitting voltage response (TVR). Benchmarking is provided against comparable lead zirconate‐titanate (PZT) based transducers using an industry standard Navy Type 1 (Pz26, CTS Ferroperm). Performance of the Pz12 transducers was found to exceed expectations, although was lower than that of the comparable Pz26 transducers. Pulse‐echo amplitudes indicated a −4.3 dB relative amplitude between lead and lead‐free variants with electrical insertion loss and transmitting voltage response both showing an average −3.1 dB between the Pz12 and Pz26. Electroacoustic conversion efficiencies of up to 52% are reported for the Pz12 transducers compared with a 62% maximum efficiency for the Pz26 variant. Temperature stability is also investigated in the 10–70 ˚C range.
Opacity for realistic 3D MHD simulations of cool stellar atmospheres
Authors: Perdomo García A. , Vitas N. , Khomenko E. , Collados M. , Allende Prieto C. , Hubeny I. , Osorio Y. 
Published: June 2023

Context. Realistic three-dimensional time-dependent simulations of stellar near-surface convection employ the opacity binning method for the efficient and accurate computation of the radiative energy exchange. The method provides several orders of magnitude of speedup, but its implementation includes a number of free parameters.
Aims. Our aim is to evaluate the accuracy of the opacity binning method as a function of the choice of these free parameters.
Methods. The monochromatic opacities computed with the SYNSPEC code were used to construct opacity distribution function (ODF) that was then verified through detailed comparison with the results of the ATLAS code. The opacity binning method was implemented with the SYNSPEC opacities for four representative cool main-sequence stellar spectral types (F3V, G2V, K0V, and M2V).
Results. The ODFs from SYNSPEC and ATLAS show consistent results for the opacity and bolometric radiative energy exchange rate Q in the case of the F-, G-, and K-type stars. Significant differences, coming mainly from the molecular line lists, are found for the M-type star. It is possible to optimise a small number of bins to reduce the deviation of the results coming from the opacity grouping with respect to the ODF for the F-, G-, and K-type stars. In the case of the M-type star, the inclusion of splitting in wavelength is needed in the grouping to get similar results, with a subsequent increase in computing time. In the limit of a large number of bins, the deviation for all the binning configurations tested saturates and the results do not converge to the ODF solution. Due to this saturation, the Q rate cannot be improved by increasing the number of bins to more than about 20 bins. The more effective strategy is to select the optimal location of fewer bins.
Tissue Engineering: Current Technology for Facial Reconstruction
Authors: Fenberg Rachel , vonWindheim Natalia , Malara Megan , Ahmed Maariyah , Cowen Erin , Melaragno Luigi , Vankoevering Kyle 
Published: June 2023

AbstractFacial reconstruction is a complex surgical process that requires intricate three-dimensional (3D) concepts for optimal functional and aesthetic outcomes. Conventional reconstruction of structural facial anomalies, such as those including cartilage or bony defects, typically rely on hand-carving autologous constructs harvested from a separate donor site, and shaping that cartilage or bone into a new structural framework. Tissue engineering has emerged in recent decades as a potential approach to mitigate the need for donor site morbidity while improving precision in the design of reconstructive construct. Computer-aided design and computer-aided manufacturing have allowed for a digital 3D workflow to digitally execute the planned reconstruction in virtual space. 3D printing and other manufacturing techniques can then be utilized to create custom-fabricated scaffolds and guides to improve the reconstructive efficiency. Tissue engineering can be paired with custom 3D-manufactured scaffolds to theoretically create an ideal framework for structural reconstruction. In the past decade, there have been several compelling preclinical studies demonstrating the capacity to induce chondrogenesis or osteogenesis in a custom scaffold. However, to date, these preclinical data have not yet translated into significant clinical experience. This translation has been hindered by a lack of consensus on the ideal materials and cellular progenitors to be utilized in these constructs and a lack of regulatory guidance and control to enable clinical application. In this review, we highlight the current state of tissue engineering in facial reconstruction and exciting potential for future applications as the field continues to advance.
Dynamic modulation and impedance characteristics of a terahertz quantum cascade laser
Authors: Gao Liang , Feng Chao , Wang Qingpu , Zhao Xian 
Published: June 2023

The modulation and impedance properties of a terahertz (THz) quantum cascade laser (QCL) are investigated theoretically based on a three-level rate equation model. The effect of different device parameters, namely, facet reflectivity, injection efficiency, spontaneous emission factor, and operating current, on the modulation and impedance characteristics of the QCL is analyzed in detail. The device shows a maximum modulation bandwidth (f3dB) of 21 GHz and an intrinsic impedance of 3.8 mΩ when operating under the designed conditions. The modulation bandwidth and impedance increase with the increase in facet reflectivity and injection efficiency. However, the modulation bandwidth increases but the impedance decreases with the increase in operating current. The spontaneous emission factor has no effect on both the modulation bandwidth and impedance. The theoretical model will aid in the design of THz QCLs requiring a large modulation bandwidth and the external circuit design to match the standard 50 Ω source for reducing reflections and improving the coupling efficiency.
An area-based description of closed books in general practices in Aotearoa New Zealand
Authors: Pledger Megan , Irurzun-Lopez Maite , Mohan Nisa , Jeffreys Mona , Cumming Jacqueline 
Published: June 2023

Introduction In Aotearoa New Zealand, patients can enrol in a general practice for their primary health care. When a general practice no longer enrols new patients this is known as ‘closed books’. We examined which District Health Board (DHB) districts were most affected and what characteristics of general practices and DHB districts were associated with closed books. Methods Maps were used to display the distribution of closed books general practices. Linear regression and logistic regression were used to look at the association between DHB or general practice characteristics and closed books. Results There were 347 (33%) general practices that had closed books in June 2022. Canterbury DHB (n = 45) and Southern DHB (n = 32) had the greatest number of closed books general practices, while Wairarapa DHB (86%), Midcentral DHB (81%) and Taranaki DHB (81%) had the greatest percentage. Consultation fees (P < 0.0001) were found to be associated with closed books in general practice, where those practices in the mid-range of consultation fees were more likely to have closed books than those that charged lower or higher fees. Conclusion The problem of closed books is felt across the country but has a larger impact in the middle-lower North Island. This influences access to primary health care enrolment for patients in terms of travel distance, time, and cost. Consultation fees were strongly associated with closed books. This suggests there may be an income threshold above which general practices can afford to close their books if they reach capacity.
Receptive vocabulary size estimates for general and academic vocabulary at a multi-campus Australian
university
Authors: Green Clarence , Pantelich Melania , Barrow Michael , Weerasinghe Daya , Daniel Rachel 
Published: June 2023

Abstract
There are few published estimates of vocabulary sizes amongst students in tertiary education. Research does not
offer estimates of the vocabulary size tertiary students might be expected to possess, though estimates exist for K-12 education,
some EFL contexts, and the general population. Such research is important. For reading comprehension during tertiary education, a
vocabulary of minimally 10,000 words is recommended, along with proficiency in academic vocabulary. A recent study of three
universities in the United Kingdom concluded pedagogical intervention was required, since estimates indicated undergraduates knew
fewer than 10,000 words. A subsequent study of a New Zealand university found students knew 16,000 words and pedagogical
intervention was not required. The current study investigates 433 tertiary students at an Australian university to determine if
students required vocabulary support. It contributes to a research record allowing for comparisons internationally, nationally,
and over time. Methods employed included the Vocabulary Size Test/VST and Academic Vocabulary Test/AVT. Results indicate an
average vocabulary size of 16,117 words, with academic vocabulary well-known.