bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lack of incremental prognostic value of triglyceride glucose index beyond coronary computed tomography angiography features for major events
Authors: Huang Zengfa , Tang Ruiyao , Ding Yi , Wang Xi , Du Xinyu , Wang Wanpeng , Li Zuoqin , Xiao Jianwei , Wang Xiang 
Published: October 2024

AbstractThis study was aim to determine the prognostic value of triglyceride-glucose (TyG) index and coronary computed tomography angiography (CTA) features for major adverse cardiovascular events (MACE). In addition, we investigate the incremental prognostic value of TyG index beyond coronary CTA features in patients with suspected or known coronary artery disease (CAD). The present study ultimately includes 3528 patients who met the enrollment criteria. The TyG index was calculated based on measured levels of triglycerides and fasting blood glucose. Primary combined endpoint consisted of MACE, which defined as myocardial infraction (MI), all-cause mortality and stroke. Three multivariate Cox proportional hazard regression models were performed to assess the association between TyG index and MACE. C-statistic was performed to assess the discriminatory value of models. 212 (6.0%) patients developed MACE during a median follow-up of 50.4 months (IQR, 39.4–55.1). TyG index remained to be a significantly and independent risk factors for predicting MACE after adjusting by different models (clinical variables alone or plus coronary CTA features) in multivariable analysis. Both the addition of TyG index to clinical model plus Coronary Artery Disease Reporting and Data System (CAD-RADS) and to clinical model plus CAD-RADS 2.0 slightly but not significantly increased the C-statistic index (0.725 vs. 0.721, p = 0.223; 0.733 vs. 0.731, p = 0.505). TyG index was associated with an increased risk of MACE. However, no incremental prognostic benefit of TyG index over CAD-RADS or CAD-RADS 2.0 was detected for MACE in patients with suspected or known CAD.
Sublingual microcirculatory assessment on admission independently predicts the outcome of old intensive care patients suffering from shock
Authors: Bruno Raphael Romano , Schemmelmann Mara , Hornemann Johanna , Moecke Helene Mathilde Emilie , Demirtas Filiz , Palici Lina , Marinova Radost , Kanschik Dominika , Binnebößel Stephan , Spomer Armin , Guidet Bertrand , Leaver Susannah , Flaatten Hans , Szczeklik Wojciech , Mikiewicz Maciej , De Lange Dylan W. , Quenard Stanislas , Beil Michael , Kelm Malte , Jung Christian 
Published: October 2024

AbstractShock is a life-threatening condition. This study evaluated if sublingual microcirculatory perfusion on admission is associated with 30-day mortality in older intensive care unit (ICU) shock patients. This trial prospectively recruited ICU patients (≥ 80 years old) with arterial lactate above 2 mmol/L, requiring vasopressors despite adequate fluid resuscitation, regardless of shock cause. All patients received sequential sublingual measurements on ICU admission (± 4 h) and 24 (± 4) hours later. The primary endpoint was 30-day mortality. From September 4th, 2022, to May 30th, 2023, 271 patients were screened, and 44 included. Patients were categorized based on the median percentage of perfused small vessels (sPPV) into those with impaired and sustained microcirculation. 71% of videos were of good or acceptable quality without safety issues. Patients with impaired microcirculation had significantly shorter ICU and hospital stays (p = 0.015 and p = 0.019) and higher 30-day mortality (90.0% vs. 62.5%, p = 0.036). Cox regression confirmed the independent association of impaired microcirculation with 30-day mortality (adjusted hazard ratio 3.245 (95% CI 1.178 to 8.943, p = 0.023). Measuring sublingual microcirculation in critically ill older patients with shock on ICU admission is safe, feasible, and provides independent prognostic information about outcomes.Trial registration NCT04169204.
Early differences in lassitude predicts outcomes in Stanford Neuromodulation Therapy for difficult to treat depression
Authors: Benrimoh David , Azeez Azeezat , Batail Jean-Marie , Xiao Xiaoqian , Buchanan Derrick , Bandeira Igor D. , Geoly Andrew , Keynan Yaakov , Kratter Ian H. , Williams Nolan R. 
Published: October 2024

AbstractStanford Neuromodulation Therapy (SNT), has recently shown rapid efficacy in difficult to treat (DTT) depression. We conducted an exploratory analysis of individual symptom improvements during treatment, correlated with fMRI, to investigate this rapid improvement in 23 DTT participants from an SNT RCT (12 active, 11 sham). Montgomery–Åsberg Depression Rating Scale item 7 (Lassitude) was the earliest to show improvements between active and sham, as early as treatment day 2. Lassitude score at treatment day 3 was predictive of response at 4 weeks post-treatment and response immediately after treatment. Participants with lower lassitude scores at treatment day 3 had different patterns of sgACC functional connectivity compared to participants with higher scores in both baseline and post-treatment minus baseline analyses. Further work will aim to first replicate these preliminary findings, and then to extend these findings and examine how SNT may affect lassitude and behavioral activation early in treatment.
Corrigendum to: The Ongoing Battle: Understanding the Population Trends of Green Turtles in Peninsular Malaysia
Authors: Mohd-Ridwan Abd Rahman , Ramli Nor Ika Shahirah , Hassan Ruhana , Joseph Juanita , Rahim Nur Fazliana , Rusli Mohd Uzair 
Published: October 2024

The first author’s name must be replaced by Abd Rahman Mohd-Ridwan.
In the affiliation number five, the name of the University must be replaced by Terengganu instead of Terungganu.
Microstructure evolution and quantitative analysis of mechanical properties of cold-rolled low carbon niobium steel
Authors: Luo Wentao 
Published: October 2024

Based on the idea of “plain” of alloying elements, Fe-0.2C-2Nb (wt%) alloy steel was designed. The microstructure of the alloy was effectively controlled by means of severe plastic deformation at room temperature and reasonable heat treatment process. The microstructure evolution of the alloy was systematically characterized by TEM. After annealing at 600 °C for 0.5 h, the ultimate tensile strength of the sample reached 844 MPa, the total elongation reached 13%, which had an equilibrium state of mechanical properties. Thus a quantitative model between the microstructure parameters and mechanical properties was established to reveal the deformation mechanism and strengthening mechanism of the alloy.
Bringing Gratitude to Aphasia Intervention: A Scoping Review of Gratitude Interventions for Adults with Chronic Health Conditions
Authors: Currie Stephanie S. , Strong Katie A. , Ware Erin 
Published: October 2024

AbstractAphasia negatively impacts mental health, disrupting social connections and meaningful life activities. Gratitude interventions for healthy adults positively impact well-being, physical health, and mental health. A systematic review of gratitude interventions for people living with chronic health conditions was conducted to identify current practices and existing gaps and to map the literature for incorporating gratitude interventions into aphasia rehabilitation. A scoping review of the literature published prior to March 2023 was conducted using CINAHL, Google Scholar, PubMed, and ERIC to identify gratitude interventions for adults with chronic health conditions. The search identified 414 studies. Five met the inclusion criteria. Interventions targeting chronic health conditions included alcohol use disorder, chronic heart failure, cancer, and asthma. No empirical studies were identified that used gratitude interventions with people who have aphasia or have had a stroke. Four studies used journaling as the intervention and one used gratitude letters. All interventions used written or verbal expressions of gratitude. Gratitude interventions have been used in limited ways with chronic health conditions. As gratitude interventions are language-based and rely on writing, people with aphasia may need modifications to support accessibility to these interventions which can positively impact mental health and well-being.
Influenza in Australia before, during and after the COVID-19 pandemic
Authors: Barr Ian G. 
Published: October 2024

Influenza, like many of the other human respiratory diseases has rebounded after virtually no circulation in 2020–2021 during the COVID-19 pandemic. The three influenza seasons since the pandemic have all started earlier than the average season pre-COVID-19 and all have been significant seasons. The 2024 season had the highest number of laboratory confirmed influenza cases since records have been kept; however, the number of deaths associated with influenza was lower than in 2017 and 2019. The length of the influenza seasons has also varied since the pandemic, with 2022 being a short season and the 2023 and 2024 seasons being more typical seasons, lasting for several months. Although a number of different influenza vaccines are available for all persons 6 months of age and older and in 2024 were free in some states and for other at-risk groups, vaccination rates have been dropping. For example, vaccine uptake in 2024 for the age group 6 months to <5 years was only 26% and was only 61% for those 65 years and over. Greater awareness of the complications from influenza infection are needed along with increased vaccination rates if we are to ameliorate the impact of this constant autumn–winter visitor.
Navigating Social, Environmental, and Economic Complexities of Insect Farming to Contribute to Sustainable Agrifood Systems
Authors: Barragán-Fonseca Karol B. 
Published: October 2024

Abstract
Insect farming is increasingly recognized as an important component of sustainable agrifood systems that provide a variety of social, environmental, and economic benefits. This text explores the complexities of insect farming which must be considered to maximize its potential and thereby contribute to global sustainability goals. It explores diverse strategies for evaluating and optimizing the socio-economic and environmental benefits of insect farming and addresses insects’ diverse roles in circular food systems and their potential contributions to achieving the UN Sustainable Development Goals. By exploring the particularities of insect farming which vary according to the particular context of each region, this text highlights the ways in which local ecological, socio-economic, and cultural factors influence the outcomes of insect farming initiatives. The case exercises included are aimed at providing readers with an understanding of the role of insect farming in sustainable agriculture. Combining theoretical insights with practical examples, it provides a framework for developing locally adapted insect farming practices that maximize the benefits while minimizing the risks of this type of farming. The case exercises presented are aimed at providing students with experience in developing plans for insect farming scenarios that consider key social, environmental, and economic aspects related to sustainable insect production.

Information
© The Author 2024
Low-intensity pulsed ultrasound ameliorates insulin resistance in type 2 diabetes mice via promoting glucagon-like peptide-1 release
Authors: Wang Huan , He Min , Bat Erdene Badamgarav , Dong Jingsong , Ta Dean 
Published: October 2024

Abstract
Glucagon-like peptide-1 (GLP-1) is a hormone secreted by intestinal L-cells. It regulates glucose levels by boosting insulin secretion, inhibiting glucagon release, and preventing β-cell death. GLP-1 is increasingly used in managing type 2 diabetes mellitus (T2DM). This study assessed the effectiveness of low-intensity pulsed ultrasound (LIPUS), a non-pharmacological intervention, in enhancing insulin resistance in diabetic mice by stimulating GLP-1 release. T2DM was induced in C57BL/6J mice through a high-fat diet and streptozotocin injection. Mice were divided into Control, T2D-sham and T2D-LIPUS groups. The T2D-LIPUS group received LIPUS treatment with a frequency of 1MHz, intensity of 120mW/cm2, and duty cycle of 20%for 20 minutes/day, 5 days/week for 4 weeks. Glucose tolerance and insulin resistance were measured through tests. Pancreatic histology and GLP-1 expression in serum were evaluated. Results showed that T2DM increased insulin resistance, but LIPUS treatment alleviated it. GLP-1 levels significantly increased in the T2D-LIPUS group compared to the T2D-sham group, approaching the control group’s level. LIPUS also reduced apoptosis of islet β cells. These findings suggest that LIPUS stimulation of the intestine can enhance islet β-cell activity through GLP-1 regulation of the gut-pancreas axis, mitigating insulin resistance in T2DM.
Complex Pseudo 3D Auto-Correlation Network for High-Quality Single-Angle Plane Wave Imaging
Authors: Ren Chujian , Qu Xiaolei , Wang Zihao , Wei Xiaorui , Fan Shangchun , Zheng Dezhi , Wang Shuai , Xing Weiwei , Zhao Wanchen 
Published: October 2024

Abstract
Deep learning has shown potential as an effective beamformer for improving the image quality of plane wave imaging (PWI). But most existing deep learning methods cannot directly handle the complex in-phase and quadrature (IQ) data. And noise in ultrasound signals would significantly damage the performance of regular convolution networks. To address these challenges, we proposed the Complex Pseudo 3D Auto-Correlation Network (CP3AN) which combined complex convolution and pseudo 3D auto-correlation blocks (P3AB) to directly map delayed IQ data from 0° plane wave into PWI pixels. The complex convolution could fully utilize the envelope and phase information of IQ data, while the P3AB used 1D convolution to extract noise in channel and space dimensions, allowing the network to prioritize valid signals with extremely low computational cost. We evaluated the performance of CP3AN through numerical simulations, phantom experiments, and in-vivo experiments, which showed comparable metrics with minimum variance (MV), including contrast (CR), contrast-to-noise ratio (CNR), generalized contrast-to-noise ratio (GCNR), lateral, and axial full-width half maximum (FWHM) at -9.60 dB, 1.12, 0.65, 319 um, and 344 um, respectively. The CP3AN achieved a low computational cost of 0.11 M floating-point operations (FLOPs), significantly lower than the MV or other compared deep learning-based methods. Our proposed method provided a promising solution for improving single-angle PWI imaging, particularly in situations where high frame rates are necessary.
Adaptive Filtering of Pulse Waves for the Improvement of Ultrasonic Carotid LPWV Estimation Method
Authors: Deng Li , Zhang Yufeng , Xia Dawen , Yu Shaomei , Lu Youjun , Wei Jiayin , Zhang Jiajia , Chen Zhi , Song Wenxia 
Published: October 2024

Abstract
Aiming at promoting the accuracy of the ultrasonic carotid local pulse wave velocity (LPWV) estimation, an adaptive filtering of pulse waves for the ultrasonic carotid transit time-based LPWV estimation is proposed. First, the upstroke of pulse wave (PWU) is decomposed into time-frequency domain adaptively by an empirical wavelet transform (EWT) method, and then the noises (include the quantization noise and reflected wave in pulse wave) are picked up with predetermined threshold by multiple EWT decompositions. The proposed adaptive filtering of pulse waves for the LPWV estimation is quantitatively evaluated by an ultrasound simulation model for three age groups. Results show that the mean error of EWT-based PWU filtering are just 3.49 %, and the PWV estimation error for the three age groups are 5.77 ± 2.45 %, 4.54 ± 3.46 % and 12.24 ± 5.36 %, respectively by the EWT-based PWU filtering, which is lower than that by SG filtering. The results could be expected to provide theoretical basis and technical support for the early quantitative evaluation of local carotid vascular elasticity in clinic.
A Mumford-Shah Model-based Method for Inpainting Markers in Ultrasound Images
Authors: Xing Wenyu , Yu Ming , Liu Xin 
Published: October 2024

Abstract
During ultrasound diagnosis in clinics, clinicians often mark the lesion area, resulting in the presence of unnecessary objects in the collected ultrasound images. These markers potentially affect subsequent image analysis. To address this problem, we proposed an image inpainting method that combines image processing with Mumford-Shah algorithm to remove markers from ultrasound images. The proposed method consists of two parts. First, the input ultrasound images were processed by several image processing algorithms, including contrast enhancement, image binarization, edge detection, hole filling, and connected domain marking. These algorithms were combined to extract the mask of the manual marker in the ultrasound images. Second, the original ultrasound images and mask images were put into the Mumford-Shah model to implement ultrasound image inpainting by minimizing the following energy functional. The continuous iteration of Euler-Lagrange equation was employed to update the iteration item. If the difference between the two output results was less than the pre-set threshold, the output result could be regarded as the repaired ultrasound image. Experimental results show that the designed image processing method accurately extracted the binary mask, whether they are colourful or binary, number or line in ultrasound images. Meanwhile, the improved Mumford-Shah model effectively implemented the ultrasound image inpainting, with the accuracy of 96.55%. Therefore, the proposed method can be used to remove unnecessary objects in ultrasound images, which is beneficial to improve the accuracy of the artificial intelligence model.
Photoacoustic tracking of photo-magnetically powered nanoparticles for cancer therapy
Authors: Li Jiayan , Xu Chang , Chen Yingna , Cao Junmei , Ye Wanli , Cheng Yu , Cheng Qian 
Published: October 2024

Abstract
The in vivo propulsion and monitoring of nanoparticles (NPs) have received tremendous achievements in the past decade. Developing functional NPs that can be efficiently manipulated inside the human body with a non-invasive tracking modality is critical to clinical translation. This study synthesized a photo-magnetically powered nanoparticle (PMN) with a Fe3O4 core and gold spiky surface. The Au-nanotips ensure PMNs have a strong light absorption in the second near-infrared (NIR) window and produce outstanding photoacoustic signals. The Bio-transmission electron microscopy and simulation results prove that the assembly of PMNs under a magnetic field further enhances the photothermal conversion in cells, contributing to the reduction of ambient viscosity. Photoacoustic imaging (PAI) realized real-time monitoring of PMN movements and revealed that laser plus magnetic coupling could improve intratumoral distribution and retention. The proposed methods exhibit excellent potential for the clinical research of cancer nanotherapies.
An Energy Efficient Transmission Mechanism based on Optimal Relay Distance for Underwater Acoustic Sensor Networks
Authors: Sun Shiqiang , Sun Ning , Han Guangjie 
Published: October 2024

Abstract
Due to the limited resources and energy of communication in underwater acoustic sensor network (UASN), there are many challenges in designing energy-efficient and reliable media access control (MAC) protocols for UASN. This paper proposes an energy-efficient media access control (MAC) protocol with dynamic transmission range control (TRC), referred to as TRA-MAC. The protocol provides an adaptive, multi-hop and energy-saving solution for underwater sensor network communication. The protocol dynamically adjusts the transmission power of the node according to the distance between the source node and the destination node, and has the ability to adapt to network conditions. Simulation results show that compared with Slotted Aloha, the proposed adaptive relay node selection mechanism increases the energy efficiency by 43.07%, the network throughput by 46.6%, and the end-to-end delay is greatly reduced. Compared with Slotted FAMA, it has more significant advantages.
Mechanical properties and damage characterization of 310S steel using laser ultrasonic inspection under extreme temperature condition
Authors: Li Junrong , Meng Jiajian , Hu Yong , Zhang Jianhai 
Published: October 2024

Abstract
To evaluate the mechanical properties of 310S stainless steel under extreme working conditions, and realize the damage characterization function, in this study, the longitudinal wave and Rayleigh wave of materials are measured by the method of coaxial inspection on reverse surface and ipsilateral ectopic inspection, respectively, and surface cracks and internal voids are detected by the scanning laser source technology and transmission scanning detection, respectively. The detection methods are designed based on the energy distribution characteristics of Rayleigh wave and longitudinal waves in laser ultrasound. The laser ultrasonic detection systems coupled with a temperature loading device (high temperature: vacuum chamber; low temperature: refrigerating chamber) developed by the laboratory enable on-site monitoring of laser ultrasonic technology in harsh environments. Experimental results demonstrate that the error in mechanical properties (elastic modulus, shear modulus, Poisson ratio) is less than 5% over a wide temperature range (-180-1000°C). At 1000°C, surface cracks wider than 0.5mm and deeper than 1.9mm as well as internal hole defects larger than 1.0mm can be detected with an error rate below 5%.
Ultrasonic guided wave phased array based on reconstructed pulse-echo signals from phase information
Authors: Li Xuan , Xiang Yanxun , Liu Lishuai , Xuan Fu-Zhen 
Published: October 2024

Abstract
Aiming at the inherent dispersion characteristics of ultrasonic guided waves and the problems of gratings and side lobes in classical total focusing method (TFM) imaging algorithms, this paper proposes a full focus imaging algorithm based on reconstruct signals from phase information. Utilizing the numerical solution of the dispersion curve in the wavenumber domain, the time domain signal of Lamb wave is propagated backward to revise the changes in waveform shape caused by dispersion, and the flight time of the pulse-echo is eliminated simultaneously. The phase of pulse-echo after dispersion compensation should be consistent with the excitation signal. And the pulse-echo should have a large waveform correlation coefficient with the excitation signal. For each imaging point, dispersion compensation for all collected signals is respectively implemented so that the sign coherence factor (SCF) and the waveform correlation factor (WCF) between pulse-echo and excitation waveform can be extracted to reconstruct scattering signals. The reconstructed signals only contain information about the pulse-echo from defect. TFM imaging of the reconstructed signal can effectively suppress the grating side lobes of classical TFM imaging and improve the signal-to-noise ratio (SNR).