bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and factors associated with diabetes-related distress in type 2 diabetes patients: a study in Hong Kong primary care setting
Authors: Wong Man Ho , Kwan Sin Man , Dao Man Chi , Fu Sau Nga , Luk Wan 
Published: May 2024

AbstractDiabetes-related distress (DRD) refers to the psychological distress specific to living with diabetes. DRD can lead to negative clinical consequences such as poor self-management. By knowing the local prevalence and severity of DRD, primary care teams can improve the DRD evaluation in our daily practice. This was a cross-sectional study conducted in 3 General Out-patient Clinics (GOPCs) from 1 December 2021 to 31 May 2022. A random sample of adult Chinese subjects with T2DM, who regularly followed up in the selected clinic in the past 12 months, were included. DRD was measured by the validated 15-item Chinese version of the Diabetes Distress Scale (CDDS-15). An overall mean score ≥ 2.0 was considered clinically significant. The association of DRD with selected clinical and personal factors was investigated. The study recruited 362 subjects (mean age 64.2 years old, S.D. 9.5) with a variable duration of living with T2DM (median duration 7.0 years, IQR 10.0). The response rate was 90.6%. The median HbA1c was 6.9% (IQR 0.9). More than half (59.4%) of the subjects reported a clinically significant DRD. Younger subjects were more likely to have DRD (odds ratio of 0.965, 95% CI 0.937–0.994, p = 0.017). Patients with T2DM in GOPCs commonly experience clinically significant DRD, particularly in the younger age group. The primary care clinicians could consider integrating the evaluation of DRD as a part of comprehensive diabetes care.
Computed tomography myocardial perfusion imaging to detect myocardial ischemia in patients with anxiety and obstructive coronary heart disease post-exposure to mental stressors
Authors: Sun Weihang , Mei Lingjun , Zhang Aodan , Lai Shengyuan , Qu Xiaofeng 
Published: May 2024

AbstractThis study aims to measure myocardial blood flow (MBF) using dynamic CT- myocardial perfusion imaging (CT-MPI) combined with mental stressors in patients with obstructive coronary artery disease (OCAD) and in patients with anxiety and no obstructive coronary artery disease (ANOCAD). A total of 30 patients with OCAD with 30 patients with ANOCAD were included in this analysis. Using the 17-segment model, the rest and stress phase MBF of major coronary arteries in participants were recorded respectively. Compared with ANOCAD patients, OCAD patients were more likely to have localized reduction of MBF (p < 0.05). For patients with ANOCAD, both global MBF and MBF of the main coronary arteries in the stress phase were lower than those in the rest phase (all p < 0.05), but there was no significant difference in MBF among the main coronary arteries in the rest or stress phase (p = 0.25, p = 0.15). For patients with OCAD, the MBF of the target area was lower than that of the non-target area in both the rest and stress phase, and the MBF of the target area in the stress phase was lower than that in the rest phase (all p < 0.05). However, there was no significant difference in MBF between the rest or stress phase in the non-target area (p = 0.73). Under mental stress, the decrease in MBF in ANOCAD patients was diffuse, while the decrease in MBF in OCAD patients was localized. Dynamic CT-MPI combined with mental stressors can be used to detect MBF changes in anxiety patients.
Quantifying the stochastic component of epigenetic aging
Authors: Tong Huige , Dwaraka Varun B. , Chen Qingwen , Luo Qi , Lasky-Su Jessica A. , Smith Ryan , Teschendorff Andrew E. 
Published: May 2024

AbstractDNA methylation clocks can accurately estimate chronological age and, to some extent, also biological age, yet the process by which age-associated DNA methylation (DNAm) changes are acquired appears to be quasi-stochastic, raising a fundamental question: how much of an epigenetic clock’s predictive accuracy could be explained by a stochastic process of DNAm change? Here, using DNAm data from sorted immune cells, we build realistic simulation models, subsequently demonstrating in over 22,770 sorted and whole-blood samples from 25 independent cohorts that approximately 66–75% of the accuracy underpinning Horvath’s clock could be driven by a stochastic process. This fraction increases to 90% for the more accurate Zhang’s clock, but is lower (63%) for the PhenoAge clock, suggesting that biological aging is reflected by nonstochastic processes. Confirming this, we demonstrate that Horvath’s age acceleration in males and PhenoAge’s age acceleration in severe coronavirus disease 2019 cases and smokers are not driven by an increased rate of stochastic change but by nonstochastic processes. These results significantly deepen our understanding and interpretation of epigenetic clocks.
An exploration into the causal relationships between educational attainment, intelligence, and wellbeing: an observational and two-sample Mendelian randomisation study
Authors: Armitage J. M. , Wootton R. E. , Davis O. S. P. , Haworth C. M. A. 
Published: May 2024

AbstractEducational attainment is associated with a range of positive outcomes, yet its impact on wellbeing is unclear, and complicated by high correlations with intelligence. We use genetic and observational data to investigate for the first time, whether educational attainment and intelligence are causally and independently related to wellbeing. Results from our multivariable Mendelian randomisation demonstrated a positive causal impact of a genetic predisposition to higher educational attainment on wellbeing that remained after accounting for intelligence, and a negative impact of intelligence that was independent of educational attainment. Observational analyses suggested that these associations may be subject to sex differences, with benefits to wellbeing greater for females who attend higher education compared to males. For intelligence, males scoring more highly on measures related to happiness were those with lower intelligence. Our findings demonstrate a unique benefit for wellbeing of staying in school, over and above improving cognitive abilities, with benefits likely to be greater for females compared to males.
Stability assessment of inverter‐based renewable energy sources integrated to weak grids
Authors: Saleem M. I. , Saha S. , Izhar U. , Ang L. 
Published: May 2024

AbstractThe worldwide electricity network is undergoing a crucial transformation, shifting from traditional synchronous generators to inverter‐based renewable energy sources (IRESs). This shift is expected to reduce the grid's available fault level (AFL), potentially impacting grid functionality, particularly during the integration of IRESs into weak grids. This paper examines the challenges associated with weak grids, focusing on the steady‐state and dynamic stability of IRES when integrated into these systems. In the steady‐state analysis, the effects of AFL, injected power volume, and grid characteristics on the steady‐state voltage at the point of interconnection were explored. For dynamic stability, eigenvalue and H2 norm analyses are used for evaluation. Sensitivity analysis is conducted to assess the impact of these factors on the stability of IRESs connected to weak grids. A detailed case study using the IEEE 39 bus test power system is included to demonstrate our findings, where the steady‐state and dynamic stability of IRES connected to the test system are assessed using the proposed methods. The accuracy of these analyses is confirmed by extensive simulation studies on the OPAL‐RT real‐time digital simulator platform.
Research on vibration pattern recognition based on phase‐sensitive optical time domain reflectometry and voting fully convolution neural networks
Authors: Liao Yunhong , Li Ke , Gong Yandong 
Published: May 2024

AbstractA method that combines phase‐sensitive optical time domain reflectometry with deep learning to construct new voting fully convolution neural networks (VoteFCNs) is proposed. Compared to the traditional convolutional network, the VoteFCN can be input with data of random size and requires less parameters so that the training speed can be improved greatly. The recognition results can be more accurate and more reliable if we use classification voting count and average recognition rate as the criteria to judge network training quality. At last, the training and identification were conducted by simulating such several disturbance events: walking, raining, climbing fence, hammering the ground optical fibre and normal outdoor environments. The results show that the average test accuracy of this method is about 93.4%.
Switching‐angle‐based hybrid modulation method of full wind speed and low carrier wave ratio for direct‐drive permanent‐magnet wind power generation system
Authors: Cheng Zhun , Xu Mai , Yi Wenjing , Li Dan , Luo Bing , Zhang Yang 
Published: May 2024

AbstractA switching‐angle‐based hybrid modulation method of full wind speed and low carrier wave ratio for direct‐drive permanent‐magnet wind power generation system is proposed here, which order to improve the control performance of wind turbines in the full wind speed range. The combination manner of the proposed method is based on the harmonic distortion rate of the stator current, a modulation mode with a higher carrier wave ratio is adopted within the maximum switching frequency allowed by the system, the switching angle from optimized synchronous modulation also is introduced. In order to solve the problem of current impact caused by switching different modulation modes, the switching strategy between different modulation modes is developed from the perspective of harmonic current. And the sectors are redivided for the problem of sudden change in carrier wave ratio during switching, which improve the control effect of permanent‐magnet synchronous wind generator when changing the modulations modes. Finally, the feasibility and correctness of the proposed method are verified by theoretical analysis and simulation.
Multi‐object road waste detection and classification based on binocular vision
Authors: Guo He , Chen Lumin 
Published: May 2024

AbstractA road multi‐object detection algorithm is one of the core algorithms for intelligent road cleaning robots relying on machine vision. Most existing object detection algorithms analyse all image regions and finally calculate the category and location of each object. However, it is not necessary to analyse all areas of the image when detecting objects on the road surface where the background changes little, and the number of objects is small because there will be a lot of invalid calculations. If we can perform targeted local analysis on images instead of analysing all image regions, it will improve the detection efficiency. Therefore, this paper proposes a multi‐object detection method using a binocular camera and a convolutional neural network (CNN) that effectively reduces invalid calculations during the detection and improves detection efficiency. In the developed method, the binocular vision image acquired by the binocular camera is stereo matched and equalized, while linear regression and coordinate transformation eliminate the angle of the camera pair concerning the road surface. Then, the coordinates of the regions of interest (ROI) is calculated in the left vision image and the features within the ROI is extracted from the corresponding CNN's feature map. Next, ROI pooling resizes the extracted feature maps of different sizes to the same size, which are then input to the fully connected layers to output the results. The proposed binocular network and faster R‐CNN (VGG16) are trained and tested on a dataset involving 1000 road waste images. The experimental results demonstrate that the developed binocular network improves the detection accuracy and speed by 28.56% and 78.39%, respectively, compared with faster R‐CNN (VGG16), providing a reliable basis for a machine vision‐based intelligent road cleaning robot.
Cardio-Oncology: A New Discipline in Medicine and Its Relevance to Hematology
Authors: Spannbauer Andreas , Bergler-Klein Jutta 
Published: May 2024

AbstractCardio-oncology, a burgeoning subspecialty, addresses the complex interplay between cardiology and oncology, particularly in light of increased cardiovascular (CV) disease mortality in cancer patients. This review provides a comprehensive overview of cardio-oncology with a focus on the therapies used in hematological malignancies. We explore the bidirectional relationship between heart failure and cancer, emphasizing the need for collaborative care. The review discusses risk stratification, highlighting the importance of baseline CV risk assessment and personalized surveillance regimens. Primary and secondary prevention strategies, including pharmacological interventions, are outlined. The review also delves into the cardiotoxicity associated with hematological cancer therapies, focusing on anthracyclines, Bruton kinase inhibitors, BCR-ABL tyrosine kinase inhibitors, CAR-T cell therapy, immune checkpoint inhibitors, multiple myeloma treatments, and hematopoietic stem cell transplantation. We then highlight the high risk of venous and arterial thromboembolisms in cancer patients and the challenges of anticoagulation management in cardio-oncology. Finally, the review touches on the importance of long-term follow-up and appropriate screening in cancer survivors at high risk of CV morbidity and mortality, based on their CV risk profile and the type and dose of cardiotoxic therapies they received such as anthracyclines or high radiation doses.
Microneurosurgery for Ruptured Aneurysm of Distal Intracranial Vertebral Artery: A Case Report
Authors: Soni Tushar V. , Patel Shreyansh , Shah Varshesh , Singh Sandip , Shah Nirav 
Published: May 2024

AbstractThe International Subarachnoid Aneurysm Trial led to a shift from clipping to endovascular coiling as the primary therapy for cerebral aneurysm particularly in the management of posterior circulation aneurysm. However, endovascular therapy is often unavailable in low-resource settings, emphasizing the importance of maintaining surgical skill sets in resource-poor countries. This article presents a detailed case report on the successful microneurosurgical management of a 65-year-old female with a history of headache and weakness with past history of hypertension and a right posterior cerebral artery territory infarct who was diagnosed with a ruptured aneurysm situated within the intracranial vertebral artery. Patient was operated with the far lateral approach and clipping of the aneurysm. This case report elucidates the intricate surgical techniques employed, and the challenges neurosurgeons encountered in treating posterior circulation intracranial aneurysms, particularly those with ruptured complications. The aneurysms' intricate anatomy and increased rupture risk necessitate a meticulous microneurosurgical approach. The severity of subarachnoid hemorrhage from ruptured aneurysms increases morbidity and mortality rates.
Dosimetric Analysis of Computed Tomography-Based Brachytherapy Planning in Carcinoma Cervix
Authors: Valiyaveettil Deepthi , Jilla Swapna , Ketham Ramakrishna , Reddy P. Shivaram , Nadendla Beulah Elizabeth , Manchala Himani , Malik Monica 
Published: May 2024

Background The standard of care for locally advanced cervical cancer is concurrent chemoradiation followed by intracavitary brachytherapy (BT). BT forms an integral part of management as it improves local control and overall survival. In recent times, image-guided BT (IGBT) has been recommended as the standard of care. Computed tomography (CT) scan-based BT is a cost-effective and easily available modality for IGBT. The aim of the study was to do a dosimetric analysis of CT scan-based BT for patients with cervical cancer.
Methods This was a retrospective study and included patients with cervical cancer treated with radical chemoradiation followed by BT. CT scan was done before every fraction after applicator placement, and CT-based planning was done for all fractions. Clinical details were abstracted from the case records, and dosimetric details were collected from the treatment planning systems. Total equivalent dose in 2 Gy per fraction (EQD2) was calculated for external beam radiation therapy and BT target volumes and organs at risk (OARs).
Results This study included 50 patients. The mean age was 45 years. The majority of the cases were stage III. The mean high-risk clinical target volume (HRCTV) for the 1st, 2nd, and 3rd fraction was 53.1, 52.1, and 51.3 mL, respectively. Mean D90 HRCTV (dose received by 90% of the HRCTV) dose was 81.4 Gy (EQD2 10 Gy) and D2cc was 75.8 Gy (EQD2 3 Gy) for the rectum and sigmoid and 86.2 Gy (EQD2 3 Gy) for the bladder.
Conclusion CT-based BT is a reasonable option in high-volume and low-resource settings where the availability of magnetic resonance imaging is limited. CT-based BT at every fraction can ensure proper applicator placement and aid in optimizing the dose to the target volumes and OARs.
A francophone political culture? Similarities and differences among French speakers in Canada, Belgium, Switzerland, and France
Authors: Mueller Sean , Dardanelli Paolo , Reuchamps Min , Bundi Pirmin , Lecours André , Niessen Christoph 
Published: May 2024

AbstractThis paper explores whether language shapes political culture by examining the case of French and a possible transnational francophone political culture. Using original survey data from Canada, Belgium, Switzerland, and France collected in autumn 2020, we find only small within-country differences between francophones and non-francophones and limited transnational alignment. National patterns dominate even in multilingual federations with divided media landscapes and centrifugal politics. Only regarding feminism and drug policy do we find evidence of a common francophone orientation. In both domains, French mother tongue is correlated with the same distinct attitude regarding the role of the state compared to non-French speakers. These findings suggest that language is indeed related to political culture, albeit in a circumscribed manner. We thus contribute to scholarship on political behaviour and multicultural federalism by exploring how language shapes attitudes for individuals and groups alike.
Scalar perturbations in nonsingular universes from interacting vacuum
Authors: Alves Filipe Cattete , Maier Rodrigo 
Published: May 2024

Abstract
In this paper we examine the stability of scalar perturbations in nonsingular models which emerge from an interacting vacuum component. The analysis developed in this paper relies on two phenomenological choices for the energy exchange between a nonrelativistic fluid and a vacuum component. In both scenarios it can be shown that closed models may furnish nonsingular orbits of physical interest in phase space once a decelerated past era is connected to a graceful exit to late-time acceleration. Regarding such configurations as background spacetimes we introduce scalar perturbations in order to examine the stability of these models in a high energy domain. We explicitly show that the vacuum perturbation is not an independent variable and diverges as dynamics approaches the bounce. This feature assigns a rather unstable signature to the dynamics making the choices for the energy transfer ill defined at least for nonsingular configurations at the bounce scale.
Capacitor connected to an alternating voltage: Maxwell’s equations, Poynting’s theorem and oscillating L-C circuits
Authors: Beléndez A , Sirvent-Verdú J J , Lloret T , García-Vázquez J C , Ramírez-Vázquez R , Marini S 
Published: May 2024

Abstract
The behaviour of a parallel-plate capacitor connected to a sinusoidal alternating voltage is analysed and the electric and magnetic fields, as well as the electric and magnetic energies inside the capacitor are obtained. Aspects related to Maxwell’s equations, the Poynting vector and the conservation of electromagnetic energy are also discussed. Under certain conditions the electromagnetic energy stored in the capacitor remains constant and the behaviour of the capacitor at high frequencies is like that of an oscillating L-C circuit consisting of an inductor and a capacitor. The general situation is considered, valid for both low and high frequencies, and what is discussed here is of interest to students of an undergraduate electrodynamics course.
Stability and statistical inversion of travel time tomography
Authors: Tarikere Ashwin , Zhou Hanming 
Published: May 2024

Abstract
In this paper, we consider the travel time tomography problem for conformal metrics on a bounded domain, which seeks to determine the conformal factor of the metric from the lengths of geodesics joining boundary points. We establish forward and inverse stability estimates for simple conformal metrics under some a priori conditions. We then apply the stability estimates to show the consistency of a Bayesian statistical inversion technique for travel time tomography with discrete, noisy measurements.
Strong hybridization of Nb2C with MoS2: a way to reduce contact resistance
Authors: Zan Jinxin , Wang Huan , Tao Bairui , Liu Xiaojie , Wang Yin , Yin Haitao 
Published: May 2024

Abstract
The hybridization of MXene materials and transition metal dichalcogenides has a significant impact on heterojunction properties. The transport properties and electronic structure of heterojunctions of semiconducting MoS2 and metallic MXene Nb2C were studied by integrating density functional theory with non-equilibrium Green’s function theory. The hybridization between Nb2C and MoS2 makes the tunneling barrier between the two layers disappear, which can enhance the electron injection efficiency from the Nb2C to the MoS2. Moreover, the Nb2C/MoS2 heterojunction exhibits a conventional n-type Schottky contact with a barrier height of 0.14 eV, which is significantly lower than the barrier height of 0.29 eV at the Ti/MoS2 junction. These factors result in a field-effect transistor with a low contact resistance of 138 Ω·μm and a higher current of 1.09 mA μm−1 at a bias voltage of 0.3 V applied between the left and right electrodes. Following the application of gate voltage, the I
on/I
off ratio reaches 1266.
Controllable defects in monolayer graphene induced by hydrogen and argon plasma
Authors: Huang Xianlei , Wan Zihao , Yuan Guowen , Zhou Zhenjia , Gao Libo 
Published: May 2024

Abstract
Graphene has attracted wide attentions since its successfully exfoliation. Honeycomb sp
2 carbon lattice and Dirac semi-metal band structure make graphene a promising material with excellent mechanical strength, thermal conductivity, and carrier mobility. However, the absence of intrinsic bandgap limits its application in semiconductor. Defects in graphene is supposed to modify its band structure and lead to an opened bandgap. Many methods have been demonstrated to introduce defects into graphene, such as chemical reaction, plasma, electron beam, and laser. However, the species of defects are mostly uncontrollable in most treatment processes. In this study, we report three kinds of defects can be controllably induced in graphene via hydrogen (H2) and argon (Ar) plasma. With different parameter and feeding gas, hydrogenated graphene, graphene nanomesh and graphene with vacancies can be well obtained. The defect density can be precisely controlled by tuning plasma power and irradiation time. Morphological, spectroscopic, and electrical characterizations are performed to systematically investigate the defect evolution. Graphene nanomesh and graphene with vacancies show obvious difference for roughness and coverage, whereas the morphology of hydrogenated graphene remains similar with that of as-prepared graphene. For hydrogenated graphene, an opened bandgap of ∼20 meV is detected. For graphene nanomesh and graphene with vacancies, the semiconductive on/off behaviors are observed. We believe this work can provide more details of plasma-induced defects and assist the application of graphene in semiconductor industry.