bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bidirectional field–circuit coupling analysis of converter transformer inter‐tap short‐circuit faults in on‐load tap changers
Authors: Yan Chenguang , Zhang Peng , Xu Ya , Liu Sumei , An Tengyu 
Published: October 2022

AbstractConverter transformer inter‐tap short‐circuit faults in on‐load tap changers have occurred successively in recent years, resulting in severe accidents and enormous losses. Due to the lack of an effective model and credible arc‐in‐oil conductance parameters, related fault analysis has remained a challenge. This paper develops a bidirectional field–circuit coupling method for modelling inter‐tap faults, in which the electromagnetic field and electric circuit are directly coupled and simultaneously solved. After verification based on on‐site arcing tests, the Schavemaker model is applied to calculate the non‐linear arc conductance. Taking a ±800 kV UHVDC system as a study case, inter‐tap faults in a 415 MVA/500 kV converter transformer are simulated and analysed. Under an inter‐tap fault, the flux distribution is significantly distorted, with large radial leakage fluxes near the shorted turns, and the circulating current can reach tens or even hundreds of kiloamperes. Further calculation results for faults between various taps indicate that leakage flux distortion and the change in the transformation ratio are the main factors influencing the short‐circuit current. These representative findings effectively reveal the variation characteristics of the leakage flux and the short‐circuit current as well as the non‐linear relationship between fault severity and tap position under inter‐tap faults.
Image super‐resolution based on self‐similarity generative adversarial networks
Authors: Wang Shuang , Sun Zhengxing , Li Qian 
Published: October 2022

AbstractSelf‐attention has been successfully leveraged for long‐range feature‐wise similarities in deep learning super‐resolution (SR) methods. However, most of the SR methods only explore the features on the original scale, but do not take full advantage of self‐similarities features on different scales especially in generative adversarial networks (GAN). In this paper, self‐similarity generative adversarial networks (SSGAN) are proposed as the SR framework. The framework establishes the multi‐scale feature correlation by adding two modules to the generative network: downscale attention block (DAB) and upscale attention block (UAB). Specifically, DAB is designed to restore the repetitive details from the corresponding downsampled image, which achieves multi‐scale feature restoration through self‐similarity. And UAB improves the baseline up‐sampling operations and captures low‐resolution to high‐resolution feature mapping, which enhances the cross‐scale repetitive features to reconstruct the high‐resolution image. Experimental results demonstrate that the proposed SSGAN achieve better visual performance especially in the similar pattern details.
Learning the model update with local trusted templates for visual tracking
Authors: An Zhiyong , Chen Geng , Zhang Ximin , Wang Zhuhai , Xie Qingsong , Zhang Bin 
Published: October 2022

AbstractExisting Siamese trackers usually do not update templates or adopt single‐updating strategies. However, historical information cannot be effectively utilized when using these strategies, and model drift from complex tracking challenges cannot be addressed. To address this issue, a novel tracking framework that learns the model update with local trusted templates is proposed in this paper. The authors propose a complementary confidence evaluation method to select local trusted templates in a sliding window. This provides high‐confidence historical information. The authors also propose a method including linear learning and deep learning to learn to model updates. Different from traditional update strategies, the authors’ method combines non‐linear and linear updates to obtain reliable templates with the most abundant historical information, which solves the complex tracking challenges to a certain extent. Finally, the adaptive fusion response maps of the two strategies determine the final tracking based on the confidence evaluation. Experimental results on NFS, UAVDT, UAV123, UAV20L and VOT2016 show that our method performs favourably when compared with current state‐of‐the‐art methods.
Ice accretion thickness prediction using flash infrared thermal imaging and BP neural networks
Authors: Hao Lu , Li Qingying , Pan Weichen , Yao Rao , Liu Senyun 
Published: October 2022

AbstractThe present study investigated ice accretion thickness under non‐incoming flow icing conditions on the ground using an infrared thermography system that converts infrared radiation temperature. Two back propagation (BP) neural network models were developed to measure ice thickness. Both theoretical model and polynomials were employed to fit the icing surface temperature elevation sequence to extract the pixel‐level temperature attenuation characteristics, which were served as the input to the BP neural networks. The prediction method of ice thickness by the BP neural network was analysed from three perspectives of sensitivity, dimension, and precision. In addition, K‐nearest neighbour (KNN) and support vector regression (SVR) algorithms were compared with BP neural network. In terms of prediction effect, the BP neural network performed the best. The verification of the BP neural network based on the characteristics of the theoretical model proved that the method can effectively predict the thickness of ice accretion, and its prediction error does not exceed 10%.
Deep representation of imbalanced spatio‐temporal traffic flow data for traffic accident detection
Authors: Mehrannia Pouya , Bagi Shayan Shirahmad Gale , Moshiri Behzad , Al‐Basir Otman Adam 
Published: October 2022

AbstractAutomatic detection of traffic accidents has a crucial effect on improving transportation, public safety, and path planning. Many lives can be saved by the consequent decrease in the time between when the accidents occur and when rescue teams are dispatched, and much travelling time can be saved by notifying drivers to select alternative routes. This problem is challenging mainly because of the rareness of accidents and spatial heterogeneity of the environment. This paper studies deep representation of loop detector data using long‐short term memory (LSTM) network for automatic detection of freeway accidents. The LSTM‐based framework increases class separability in the encoded feature space while reducing the dimension of data. The experiments on real accident and loop detector data collected from the Twin Cities Metro freeways of Minnesota demonstrate that deep representation of traffic flow data using LSTM network has the potential to detect freeway accidents in less than 18 min with a true positive rate of 0.71 and a false positive rate of 0.25 which outperforms other competing methods in the same arrangement.
Influence of dedicated lanes for connected and automated vehicles on highway traffic flow
Authors: Kim Jongho , Lim Donghyun , Seo Younghoon , So Jaehyun (Jason) , Kim Hyungjoo 
Published: October 2022

AbstractThe introduction of Connected and automated vehicles (CAVs) promises various social and economic benefits, but safety issues are encountered when CAVs are mixed with human‐driven vehicles (HDVs). This study presents three scenarios as lane operation alternatives for situations in which CAVs and HDVs are mixed. The proposed lane operation scenarios for CAVs are the operation of dedicated lanes (DLs) for CAVs, operation of a DL for CAVs and buses, and the operation of DLs for buses. For each scenario, the effects of the market penetration rate (MPR) on traffic efficiency and safety were evaluated. The following findings were obtained from the results: CAVs had a potential effect on each lane according to the lane operation scenario; traffic efficiency and safety improved in a traffic flow situation where CAVs and HDVs were mixed; traffic efficiency and safety were higher when operating DLs for CAVs than when operating a mixed traffic flow; and efficiency and safety were optimal when operating Scenario 2 (DL for CAVs and Buses) in the early stages of introducing CAV (MPR 10–30%) and operating Scenario 1 (DL for CAVs) in the mid‐ to long‐term stages (MPR 40–80%). These findings provide a basis for preparing new policy alternatives to the current policy of adopting DLs for buses. Furthermore, the evaluation of the effects of each DL operation in the transition period where CAVs and HDVs are mixed will contribute to the operation of an efficient and safe CAV‐based road traffic system.
Coordinated multi‐stage expansion planning of transmission system and integrated electrical, heating, and cooling distribution systems
Authors: Allahvirdizadeh Yousef , Shayanfar Heidarali , Moghaddam Mohsen Parsa 
Published: October 2022

AbstractThe rapid development of different energy production and conversion technologies at the distribution system (DS) level facilitates the integration of electrical, heating, and cooling DSs. The planning and operation of integrated DSs will affect the asset management of the transmission system (TS), which in turn will change the electrical energy prices and investment decisions at the DS level. This paper addresses a tri‐level multi‐stage approach for coordinated expansion planning of TS and integrated electrical, heating and cooling DSs. The photo voltaic panels (PVs), wind turbines (WTs), combined heat and power generation (CHP) units, boilers, and electrical and absorption chillers are considered investment candidates for coupling the DSs. Moreover, the expansion planning of TS lines, electrical feeders,and heating and cooling pipelines are integrated into the proposed model. The discussed model is tested on the modified 6‐bus, 30‐bus, and 118 bus IEEE TS comprising electrical, heating, and cooling DSs. The numerical study proves that the distribution system operators (DSOs), connected to different nodes of the TS, reduce their operation and emissioncosts by investing in the energy resources. Moreover, the proposed scheme successfully reduces the total expected cost of the transmission system operator (TSO) and successfully postpones the expansion of the TS.
Investigations of performance improvements on the evacuated tube solar collector with and without the incorporation of preheater through various engineering approaches
Authors: Danook Suad Hassan , AL‐bonsrulah Hussein A. Z. , Raja Vijayanandh , Kolivandi Morteza , Aghadadashi Ali , Al‐Bahrani Mohammed 
Published: October 2022

AbstractSolar irradiation is a clean form of energy, and absorption cooling systems powered by solar energy allow for significant energy savings. In the future, the demand for renewable energy may be the most effective way to serve clean energy, especially in Iraq, which has an excellent geographical location. In this research work, the performances of solar collector with and without of preheater have been evaluated. When compared to flat plate collectors at temperatures above 80°C, glass evacuated tube solar collectors provide the combined effects of a highly selective surface coating and vacuum insulation of the absorber element, resulting in a high heat extraction efficiency. Firstly, the Evacuated Vacuum Tube Solar Collector (EVTSC) was tested through experimentation. Secondly, Computational Fluid Dynamics (CFD) approach has been involved in this EVTSC system and thereby the conductive, convective and radiation based heat transfers are computed. Additionally, all possible with inclusive preheater cases are computationally investigated, thereafter the comprehensive report is prepared though validated computational procedures. Finally, the maximum efficiency is observed to be 53% without using a preheater and 61.8% with the usage of the preheater. The increase in efficiency using the preheater is found to be 16.6%.
Antithrombotische Therapie der oberflächlichen Venenthrombose
Authors: Bauersachs Rupert M. 
Published: October 2022

Zusammenfassung
Epidemiologie und Risikofaktoren Eine deutsche Registerstudie zeigt, dass Risikoprofile, klinisches Bild und Behandlungsmuster bei oberflächlicher Venenthrombose (OVT) sehr heterogen sind. Ebenso variieren Dosierung und Therapiedauer der Antikoagulation (AK) erheblich. Trotz initialer AK besteht nach 3 Monaten ein beachtliches Risiko für venöse Thromboembolien (VTE), Rezidive oder Ausdehnung. Im Gegensatz zu aktuellen Leitlinienempfehlungen erhielt ein Drittel der Patienten entweder Heparine, orale Antikoagulanzien oder gar kein Antikoagulans. Eine gleichzeitige, oft asymptomatische tiefe Venenthrombose (TVT) findet sich gehäuft nach Hospitalisierung oder Immobilisation, vorausgegangener VTE, bei Autoimmunerkrankungen, höherem Alter, Malignom und bei OVT in einer nichtvarikösen Vene oder bei Ausdehnung in eine Perforansvene. Dies sind häufig auch Risikofaktoren für thromboembolische Komplikationen im Verlauf.
Therapie Aufgrund einer großen Placebo-kontrollierten Studie mit klinischen Endpunkten ist Fondaparinux 1-mal 2,5 mg über 4–6 Wochen die in den Leitlinien empfohlene Therapie. Auch eine intermediäre Dosis von niedermolekularem Heparin (NMH) kann erwogen werden. Bei Hochrisikopatienten war 1-mal 10 mg Rivaroxaban gegenüber Fondaparinux nicht unterlegen. Ob bei hohem Risiko eine 45-tägige Therapie ausreicht, muss weiter untersucht werden.
Practical approach to linear endoscopic ultrasound examination of the rectum and anal canal
Authors: Okasha Hussein Hassan , Pawlak Katarzyna M. , Abou-elmagd Amr , El-Meligui Ahmed , Atalla Hassan , Othman Mohamed O. , Elenin Sameh Abou , Alzamzamy Ahmed , Mahdy Reem Ezzat 
Published: October 2022

AbstractStandard endosonographic examination of the rectal area is usually performed with radial endoscopic ultrasound (EUS). However, in recent years, widespread availability of linear EUS for assessing various anatomical regions in the gastrointestinal tract has facilitated its use in the assessment of anorectal disorders. Currently, many rectal and anal diseases, including perianal abscesses, fistulae, polyps, and neoplastic lesions, can be well-visualized and evaluated with linear EUS. The aim of this review is to shed light on the anatomy and systematic examination of the anorectal region with linear EUS and clinical implications for different anorectal pathologies.
Important Finding for COVID-19 Pandemic: Hydrocephalus-producing effect of Vaporized Alcohol Disinfectant
Authors: Kanat Ayhan , Aydin Mehmet Dumlu , Sahin Balkan , Daltaban Iskender Samet , Gel Mehmet Selim , Guvercin Ali Riza , Demirtas Rabia 
Published: October 2022

Abstract
Background Alcohol exposure may cause hydrocephalus, but the effect of vaporized nasal alcohol exposure on the choroid plexus, and ependymal cells, and the relationship between alcohol exposure and developing hydrocephalus are not well known. This subject was investigated.
Methods Twenty-four male (∼380 g) Wistar rats were used in this study. The animals were divided into three groups, as the control, sham and study groups. The study group was further divided into two groups as the group exposed to low or high dose of alcohol. The choroid plexuses and intraventricular ependymal cells and ventricle volumes were assessed and compared statistically.
Results Degenerated epithelial cell density of 22 ± 5, 56 ± 11, 175 ± 37, and 356 ± 85/mm3 was found in the control, sham, low alcohol exposure, and high alcohol exposure groups, respectively. The Evans index was <34% in the control group, >36% in the sham group, >40% in the group exposed to low alcohol dose (low-dose alcohol group), and >50% in the group exposed to high dose of alcohol (high-dose alcohol group).
Conclusions It was found that alcohol exposure caused choroid plexus and ependymal cell degeneration with ciliopathy and enlarged lateral ventricles or hydrocephalus. In the COVID-19 pandemic era, our findings are functionally important, because alcohol has often been used for hygiene and prevention of transmission of the Sars-Cov-2-virus.
Cross-Leg Free Flap: Crossing the Border Zone of Ischemic Limb—A Case Report of Limb Salvage Procedure following a Delayed Diagnosis of Popliteal Artery Injury
Authors: Lam Hui Yuan , Sulaiman Wan Azman Wan , Ismail Wan Faisham Wan , Halim Ahmad Sukari 
Published: October 2022

AbstractVascular injury following traumatic knee injury quoted in the literature ranges from 3.3 to 65%, depending on the magnitude and pattern of the injury. Timely recognition is crucial to ensure the revascularization is done within 6 to 8 hours from the time of injury to avoid significant morbidity, amputation, and medicolegal ramifications. We present a case of an ischemic limb following delayed diagnosis of popliteal artery injury after knee dislocation. Even though we have successfully repaired the popliteal artery, the evolving ischemia over the distal limb poses a reconstruction challenge. Multiple surgical debridement procedures were performed to control the local tissue infection. Free tissue transfer with chimeric latissimus dorsi flap was done to resurface the defect. However, the forefoot became gangrenous despite a free muscle flap transfer. His limb appeared destined for amputation in the vicinity of tissue and recipient vessels, but we chose to use a cross-leg free flap as an option for limb salvage.
Corneal confocal microscopy in patients with distal symmetric polyneuropathy compared to controls
Authors: Pupe Camila , Dieckmann Gabriela , Dornas Ricardo , Nascimento Osvaldo 
Published: October 2022

Abstract
Background Diabetic neuropathy (DN) is a very common clinical condition throughout the world. The diagnostic tests currently recommended have low sensitivity, such as electromyography, or are invasive, such as skin biopsy. New techniques have been developed to identify the early involvement of the peripheral nerve. With the advent of corneal confocal microscopy (CCM), a reduction in corneal innervation in patients with DN has been observed.
Objective To compare, through CCM, diabetic patients with symptomatic distal symmetric polyneuropathy (DSP) and controls.
Methods In the present study, through CCM, we compared the morphological changes in the sub-basal epithelial corneal plexus of 35 diabetic patients with symptomatic DSP with 55 controls. Moreover, we sought to determine a pattern of change regarding the severity stages of DSP, comparing the clinical, laboratory, and nerve-conduction (NC) variables.
Results Differences between the control and diabetic groups were observed for the following variables, respectively: age (44.9 ± 13.24 years versus 57.02 ± 10.4 years; p < 0.001); fiber density (29.7 ± 10.2 versus 16.6 ± 10.2; p < 0.001); number of fibers (4.76 ± 1.30 versus 3.14 ± 1.63; p < 0.001); number of Langerhans cells (4.64 ± 8.05 versus 7.49 ± 10.3; p = 0.035); tortuosity (p < 0.05); and thickness (p < 0.05). Furthermore, inverse relationships were found regarding fiber density and age (p < 0.01) and fiber density and the severity of the disease (p < 0.05). A positive relationship between the conduction velocity of the fibular nerve and fiber density (p < 0.05) was also observed.
Conclusion Corneal confocal microscopy proved to be a fast, noninvasive and reproducible method for the diagnosis, staging, and monitoring of diabetic DSP.
Cognitive impairment and elevated peripheral cytokines in breast cancer patients receiving chemotherapy
Authors: Khan Mohd Ashif , Bhurani Dinesh , Hoda Ubedul , Sehar Nouroz , Agarwal Nidhi 
Published: October 2022

Abstract
Background Anthracyclines-based regimen (5-fluorouracil, doxorubicin, and cyclophosphamide (FAC); cyclophosphamide, epirubicin, and 5-fluorouracil [CEF]) and non-anthracycline based regimens (cyclophosphamide, methotrexate, and 5-fluorouracil [CMF]) are widely used as neoadjuvant chemotherapy for breast cancer patients.
Objective The present study was conducted to observe the effects of FAC, CEF, and CMF regimen on cognition and circulatory proinflammatory cytokines (interleukin 6 [IL-6] and interleukin 1β [IL-1β]) for the duration of three cycles of chemotherapy in breast cancer patients.
Methods Eighty newly diagnosed HER-2 negative breast cancer patients were enrolled and divided into 3 groups as FAC- (n = 27), CEF- (n = 26), and CMF- (n = 27) receiving patients. Serum IL-6 and IL-1β levels were measured by using enzyme-linked immunosorbent assay (ELISA), and cognition was assessed using the Mini-Mental State examination (MMSE) questionnaire.
Results Anthracycline-based regimen was found to increase the levels of IL-6, IL-1β, and decreased MMSE scores compared with CMF regimen (p < 0.05).
Conclusion Anthracycline-based regimen caused comparatively higher peripheral inflammation, which could be the reason for more decline in cognition in anthracycline-receiving patients than non-anthracycline group.
High-Resolution Computed Tomography of Cystic Lung Disease
Authors: Kusmirek Joanna E. , Meyer Cristopher A. 
Published: October 2022

AbstractThe cystic lung diseases (CLD) are characterized by the presence of multiple, thin-walled, air-filled spaces in the pulmonary parenchyma. Cyst formation may occur with congenital, autoimmune, inflammatory, infectious, or neoplastic processes. Recognition of cyst mimics such as emphysema and bronchiectasis is important to prevent diagnostic confusion and unnecessary evaluation. Chest CT can be diagnostic or may guide the workup based on cyst number, distribution, morphology, and associated lung, and extrapulmonary findings. Diffuse CLD (DCLDs) are often considered those presenting with 10 or more cysts. The more commonly encountered DCLDs include lymphangioleiomyomatosis, pulmonary Langerhans' cell histiocytosis, lymphoid interstitial pneumonia, Birt–Hogg–Dubé syndrome, and amyloidosis/light chain deposition disease.
Assessment of Pleural Effusion by Means of Imaging Modalities
Authors: Kumari Swati , Jaseemudheen M.M. 
Published: October 2022

AbstractPleural effusion is the fluid collection in the pleural cavity between the parietal and visceral pleura. It is caused by parenchymal diseases such as inflammatory disorders or infection. Pleural effusion can be diagnosed using imaging modalities such as X-ray, computed tomography (CT) scan, ultrasound, and magnetic resonance imaging (MRI).MRI is rarely performed to investigate pleural effusion due to motion artifacts and has a poor spatial resolution. Benign and malignant pleural effusion can be diagnosed using an X-ray, CT scan, or ultrasound. Pleural effusion volume can be measured by using ultrasound. This article reviews the feasibility of investigating pleural effusion and fluid drainage in medical imaging and compares to find the best modality for its diagnosis.
Description: This article reports the possible options to detect pleural effusion in medical imaging and compares them to find the best modality for its diagnosis.
Illuminating humanist nature in teaching translation and interpreting studies: Devising an online customisable AI-driven subtitling course
Authors: Liang Lisi 
Published: October 2022

AbstractThe paper sets out to devise an online subtitling course emphasising the human nature of translation. To gain a deeper understanding of audience behaviours and attitudes towards the consumption of subtitles, the article utilises questionnaires and case studies. Results are used to devise a learner-customised and technology-assisted online course about subtitling. The case studies that inspire the course content and design include the short-video platform Douyin (the Chinese equivalent of TikTok) and the comparison of two MOOCs,Working with Translation: Theories and PracticeandConsecutive Interpreting. In summary, the course design for teaching subtitling will be based on the findings of the research questions and elastically adapted to the syllabus. We put forward our course with an emphasis on the practicality of producing subtitles in light of the technological acceleration in the marketplace and, more importantly, the humanistic nature of translation.