bluuebunny/crossref_metadata_2025_split huggingface dataset:
In vivo imaging of axonal transport in peripheral nerves of rodent forelimbs
Authors: Lang Qiuhan , Schiavo Giampietro , Sleigh James N. 
Published: January 2023

Abstract
Axonal transport is the essential process by which neurons actively traffic a variety of cargoes between the cell soma and axon terminals. Accordingly, dysfunctional axonal transport is linked to many nervous system conditions. Therefore, being able to image and quantify this dynamic process in live neurons of animal disease models is beneficial for understanding neuropathology and testing new therapies at the preclinical level. As such, intravital approaches have been developed to assess cargo movement in the hindlimb sciatic nerves of live, anaesthetised mice. Here, we describe an adapted method for in vivo imaging of axonal transport in intact median and ulnar nerves of the rodent forelimb. Injection of a fluorescently labelled and non-toxic fragment of tetanus neurotoxin (HCT) into the mouse forepaw permits the identification of signalling endosomes in intact axons of median and ulnar nerves. Through immunofluorescent analysis of forelimb lumbrical muscles and median/ulnar nerves, we confirmed that HCT is taken up at motor nerve terminals and predominantly locates to motor axons. We then showed that the baseline trafficking of signalling endosomes is similar between the median/ulnar nerves and the sciatic nerve in adult wild-type mice. Importantly, this adapted method can be readily tailored for assessment of additional cargoes, such as mitochondria. By measuring transport in forelimb and hindlimb nerves, comparative anatomical and functional analyses can be performed in rodent disease models to aid our understanding of peripheral nerve disease pathogenesis and response to injury.
An access control model for data security sharing cross‐domain in consortium blockchain
Authors: Liu Yang , Yang Weidong , Wang Yanlin , Liu Yang 
Published: January 2023

AbstractWith the rapid increment of the demand for data sharing among parties, data is considered a cornerstone component to provide value in the big data environment. Concerns regarding sharing data security have impeded the development of cross‐domain data interaction. Therefore, an access control model for data security sharing cross‐domain is proposed, Fabric‐ABAC, that is based on Hyperledger Fabric and Attribute‐based Access Control (ABAC). In order to solve the data security challenges caused by a trusted central organization implementation, a distributed environment is constructed that consists of stakeholders among parties. The unified attribute model is designed for multi‐environment combined with smart contracts. Fabric‐ABAC realizes multi‐level, fine‐grained, and auditable access control, enabling data security through automatic permission verification. Considering the ledger is visible to all participants in consortium blockchain, it is necessary to protect the confidentiality of sensitive data. Thus, Proxy Re‐Encryption (PRE), which is implemented by smart contracts, is adopted in the scheme to realize the ciphertext interaction without the third party. The security of PRE and the access control model used in Fabric‐ABAC is discussed to show that a secure environment for data sharing is provided. Moreover, the completeness of the implementation and effectiveness of the system performance in the multi‐domain environment is demonstrated in the experimental results.
Adaptive criteria of estimating power system separation times based on inter‐area signal
Authors: Ranjbar Soheil 
Published: January 2023

AbstractThis paper presents an online protective scheme of estimating critical inter‐area angle for controlling the inter‐area oscillations based on evaluating the rate of changes of rotor angle oscillations as an adaptive tripping index (ATI)‐based protective zone. For this purpose, by using wide area measuring system technology, oscillatory signals Δδ and Δω are measured which based on correlation coefficients criteria, coherent groups are identified which based on evaluating oscillating areas, inter‐area signals ΔδCOI‐AB and ΔωCOI‐AB are provided. In the case of evaluating an inter‐area oscillation, the proposed ATI scheme is activated which the first zero crossing point (ZCP0) of δCOI‐AB is determined as the critical criteria for estimating unstable situation. The proposed ATI approach consists of two adaptive protective zones ATI1 and ATI2 to estimate inter‐area oscillatory and inter‐area transient instabilities, respectively. The proposed ATI is an online and non‐model‐based scheme which evaluates the system dynamic stability through two straight and sinusoidal‐based adaptive zones. The effectiveness of the proposed ATI approach is evaluated on three different test systems IEEE 39‐bus, modified IEEE 39‐bus with converter‐based low inertia sources and a practical Iran nation power grid with presenting positive effects of damping inter‐area oscillations through different operational and topological conditions.
Design analysis and experimental validation of a multi‐level inverter for vehicle to home application
Authors: Khalid Mohd , Ahmad Furkan , Al‐Fagih Luluwah 
Published: January 2023

AbstractRobust and economic inverting devices are needed with the increasing practice of direct current (DC) sources. This paper proposes a compact multi‐level inverter topology for Vehicle to Home (V2H) application under different load conditions. A reduced number of switches with a single DC source (EV battery) is used to generate the 11‐level of output voltage and current waveform. The proposed topology is quite simple in structure and ensures the increase of two levels with each additional switch. The complete power loss analysis is performed for the proposed inverter. The MATLAB/Simulink is used to perform the simulation, and the results are validated through the experimental hardware setup designed. The comparison with the existing multi‐level inverter (MLI) topologies and literature shows the significant acceptability and reliability of the proposed multi‐level inverter. The operation of the proposed MLI under various loading conditions has expressed robustness for V2H application. The simulated and experimental data confirm that both results have a good agreement in terms of THD and output power. The output voltage levels of the proposed inverter could be flexibly varied by employing different numbers of switching capacitors.
Consensus based target tracking against deception jamming in distributed radar networks
Authors: Yang Ye , Da Kai , Zhu Yongfeng , Xiang Shengwen , Fu Qiang 
Published: January 2023

AbstractIn this study, an anti‐deception jamming target tracking algorithm based on the data‐level fusion is proposed in a distributed radar network. First, the consensus covariance intersection (CCI) algorithm is proposed to improve tracking performance by introducing the consensus theory to the field of covariance intersection fusion. Second, unscented Kalman filter is utilised to implement the preprocessing of distributed filtering. Then, two distributed target discrimination schemes are developed for non‐collaborative and collaborative false targets respectively. For non‐collaborative false targets, according to the characteristics that estimated spatial locations of the false target from different radars are relatively scattered, a false target elimination method based on nearest neighbour algorithm is proposed. For collaborative false targets, after equipped with passive radars that are less vulnerable to interference, the consensus algorithm is introduced to convey the real target information to the unconnected active radars, thus achieving an effect of global anti‐deception jamming. Finally, the CCI algorithm is deployed for distributed fusion of physical target tracking, so as to improve the overall estimation performance.
Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus
Authors: Gu Feng‐Chang 
Published: January 2023

AbstractPartial discharge (PD) detection is used to evaluate the insulation status of high‐voltage equipment. The most challenging aspect of traditional PD recognition is extracting features from the discharge signal. Accordingly, this study applied the visual geometry group‐19 (VGG‐19) model to gas‐insulated switchgear (GIS) PD image recognition. A high frequency current transformer and an LDP‐5 inductive sensor measured PD electrical signals emitted by 15‐kV GIS. Next, the Hilbert energy spectrum was obtained by Hilbert transform in the time and frequency domains. Compared with a phase‐resolved PD pattern, the Hilbert spectrum can represent the energy and instantaneous frequency with the time variable. Finally, the VGG‐19 model was applied for PD pattern recognition. For validation, its recognition performance was compared with that of a fractal theory by using a neural network method. The VGG‐19 method is straightforward and has a high PD recognition rate, thereby enabling equipment manufacturers to quickly verify the insulation of GIS during assembly or operation.
F18-FDG PET/CT in a patient with Antisynthetase Syndrome
Authors: Nazerani-Zemann Tina , Stanzel Susanne , Gstettner Christian , Aigner Reingard Maria , Pernthaler Birgit 
Published: January 2023

AbstractMore prevalent in women than men, Antisynthetase Syndrome is a rare and poorly defined autoimmune disease associated with interstitial lung disease, polymyositis, and dermatomyositis. In addition to various diagnostic tools, imaging modalities are needed in certain situations. A 42-year-old woman with Anti-Jo-1-positive Antisynthetase Syndrome presented with thoracic muscular pain. She underwent whole-body Fluorodeoxyglucose positron emission tomography/computed tomography (F18-FDG PET/CT) to evaluate the total extent of the muscles affected. Depicting symptomatic symmetric myositis of the intercostal muscles, F18-FDG PET/CT additionally revealed unusually extensive fasciitis of the lower extremities.
Neurofibromatosis Type 1 with Giant Thrombotic Aneurysm of the Internal Carotid Artery Presenting with Rapid Progression of Visual Disturbance: A Case Report and Literature Review
Authors: Kobayashi Masato , Otani Naoki , Kajimoto Ryuta , Katsuhara Takamichi , Yoshino Atsuo 
Published: January 2023

Abstract
Background Patients with neurofibromatosis type 1 (NF1) have various vascular diseases due to the vascular fragility, but no reports of case of giant thrombotic aneurysm was found. We treated a rare case of giant thrombotic aneurysm of the internal carotid artery (ICA) in a patient with NF1.
Case Presentation A 60-year-old man had suffered deteriorating visual loss and homonymous hemianopia. Contrast-enhanced computed tomography showed a giant thrombosed aneurysm on the anterior wall of the ICA located in the optic chiasma. We planned and completed the external carotid artery-middle cerebral artery high-flow bypass using radial artery graft. The visual fields test was performed 14 days after surgery. Homonymous hemianopia persisted but no exacerbation of visual field impairment was observed. No complications were found at 14 days after surgery and the postoperative course was uneventful.
Conclusion We consider that external carotid artery-middle cerebral artery bypass surgery using radial artery grafts is a safe and effective treatment method for giant thrombotic aneurysm associated with NF1.
Treatment of Mitochondrial Phenylalanyl-tRNa-Synthetase Deficiency (FARS2) with Oral Phenylalanine
Authors: Oswald Susanne L. , Steinbrücker Katja , Achleitner Melanie T. , Göschl Elisabeth , Bittner Reginald E. , Schmidt Wolfgang M. , Tiefenthaler Elke , Hammerl Emma , Eisl Anna , Mayr Doris , Mayr Johannes A. , Wortmann Saskia B. 
Published: January 2023

Abstract
Objective By loading transfer RNAs with their cognate amino acids, aminoacyl-tRNA synthetases (ARS) are essential for protein translation. Both cytosolic ARS1-deficiencies and mitochondrial ARS2 deficiencies can cause severe diseases. Amino acid supplementation has shown to positively influence the clinical course of four individuals with cytosolic ARS1 deficiencies. We hypothesize that this intervention could also benefit individuals with mitochondrial ARS2 deficiencies.
Methods This study was designed as a N-of-1 trial. Daily oral L-phenylalanine supplementation was used in a 3-year-old girl with FARS2 deficiency. A period without supplementation was implemented to discriminate the effects of treatment from age-related developments and continuing physiotherapy. Treatment effects were measured through a physiotherapeutic testing battery, including movement assessment battery for children, dynamic gait index, gross motor function measure 66, and quality of life questionnaires.
Results The individual showed clear improvement in all areas tested, especially in gross motor skills, movement abilities, and postural stability. In the period without supplementation, she lost newly acquired motor skills but regained these upon restarting supplementation. No adverse effects and good tolerance of treatment were observed.
Interpretation and Conclusion Our positive results encourage further studies both on L-phenylalanine for other individuals with FARS2 deficiency and the exploration of this treatment rationale for other ARS2 deficiencies. Additionally, treatment costs were relatively low at 1.10 €/day.
Treatment of Acquired von Willebrand Disease due to Extracorporeal Membrane Oxygenation in a Pediatric COVID-19 Patient with Vonicog Alfa: A Case Report and Literature Review
Authors: Heubner Lars , Trautmann-Grill Karolin , Tiebel Oliver , Mirus Martin , Güldner Andreas , Rand Axel , Spieth Peter Markus 
Published: January 2023

AbstractAcquired von Willebrand disease (aVWD) is frequently observed in patients with the need for extracorporeal membrane oxygenation (ECMO). aVWD can be treated by plasma-derived concentrates containing factor VIII (FVIII) and/or von Willebrand factor (VWF) and recombinant VWF concentrate as well as adjuvant therapies such as tranexamic acid and desmopressin. However, all of these therapeutic options possibly cause thromboembolism. Therefore, the optimal treatment remains uncertain. This report presents a case of a 16-year-old patient suffering from severe acute respiratory distress syndrome due to coronavirus disease 2019 with the need of ECMO support. Our patient developed aVWD under ECMO therapy characterized by loss of high-molecular-weight multimers (HMWM) and severe bleeding symptoms following endoscopic papillotomy due to sclerosing cholangitis. At the same time standard laboratory parameters showed hypercoagulability with increased fibrinogen level and platelet count. The patient was successfully treated with recombinant VWF concentrate (rVWF; vonicog alfa; Veyvondi) combined with topic tranexamic acid application and cortisone therapy. rVWF concentrate vonicog alfa is characterized by ultra-large multimers and absence of FVIII. Patient could be successfully weaned from ECMO support after 72 days. Multimer analysis 1 week after ECMO decannulation showed an adequate reappearance of HMWM.
The Future of Laboratory-Developed Tests in Hemostasis Laboratories
Authors: Gardiner Chris , Echenagucia Marión , Gosselin Robert C. 
Published: January 2023

AbstractLaboratory-developed tests (LDTs) are widely used in clinical hemostasis laboratories. The extent to which LDTs are regulated varies greatly around the world, and proposed changes to regulations have raised concerns about the future of LDTs in clinical laboratories. It is increasingly difficult to justify the use of an LDT where a commercially available method with regulatory approval is available. Conversely, where there is no suitable test with regulatory approval and there is a compelling clinical need, using an LDT outweighs the risk associated with not performing the test. We argue that LDTs are still required in specialist clinical laboratories to fulfill unmet clinical needs, and in lower middle-income countries where they are a vital resource.
Parents' Attitudes toward COVID-19 Vaccination: A Study from Two Centers in Istanbul
Authors: Saka Selve Çınaroğlu , Kafi Hale Molla , Çakın Zeynep Ebru , Fırat Cem Koray , Toprak Ali , Türel Özden 
Published: January 2023

Abstract
Objective Vaccination is an important measure for the prevention of coronavirus disease 2019 (COVID-19). In the present study, we aimed to evaluate parents' attitudes toward vaccinating themselves and their children. We also searched whether information about the multisystem inflammatory syndrome in children (MIS-C), a severe complication of COVID-19, could change parents' decisions on vaccinating their children.
Methods A questionnaire form consisting of sociodemographic features, COVID-19 vaccination practices, and knowledge about MIS-C was applied to parents of children attending Bezmialem Vakıf University Hospital from March through June 2022. Factors affecting vaccine hesitancy were evaluated.
Results Among 383 parents, COVID-19 history was present in 248 (64.8%), and 165 (43.1%) were hesitant to vaccinate themselves. The number of cases where both parents had received at least one dose of COVID-19 vaccine was 256/354 (72.3%). The most common reasons for vaccine hesitancy were vaccines being new in 53/165 (32.1%) and fears of side effects in 95/165 (57.6%). Parents' hesitation toward vaccination of their children with the COVID-19 vaccine was highest for the 0 to 6 age group (78.9%) (73.6% in the 6–12 age group, and 47.3% in the 12–18 age group). In total, 365/383 (95.3%) parents did not have an opinion about MIS-C. After information was given, 62.5% of the 302 participants who opposed vaccinating children under 6 years changed their decision to have their children vaccinated.
Conclusion Although routine childhood vaccinations were performed in 99% of children, more than half of parents were hesitant to vaccinate their children with the COVID-19 vaccine. The majority did not have an opinion about MIS-C. Briefings by pediatricians about complications of COVID-19 will help avoid vaccine hesitancy.
“Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy
Authors: Matytsin Denis E. , Dzedik Valentin A. , Markeeva Galina A. , Boldyreva Saglar B. 
Published: January 2023

AbstractThe article focuses on the problem of optimizing human resource management with systematic coverage of economic efficiency and corporate social responsibility. The purpose of the article is to study the role of outsourcing in the humanization of entrepreneurship in the AI economy. The potential of outsourcing in the field of entrepreneurship development in the AI economy is justified through econometric modeling using the regression analysis method on the example of companies from the “Global-500” in 2022. Promising directions for the development of “smart” outsourcing in support of the humanization of entrepreneurship in the economy using the method of comparative analysis are determined through the identification of its advantages in comparison with traditional outsourcing for the humanization of entrepreneurship. Using the case study method, successful examples of the use of “smart” outsourcing in various business operations of entrepreneurship are systematized. The key conclusion is that in the AI economy, the humanization of entrepreneurship can be provided with the help of “smart” outsourcing, which is more preferable than traditional outsourcing due to its increased flexibility, rationality, and efficiency. The theoretical significance lies in clarifying the specifics of outsourcing in the AI economy, as well as in justifying the preference for “smart” outsourcing and in providing a scientific methodology for its implementation. The practical significance is connected with the fact that the proposed practical recommendations on the implementation of “smart” outsourcing allow to improve the efficiency of entrepreneurial activity and strengthen the resilience of businesses to economic crises, supporting economic growth through “smart” outsourcing.
Design optimization of a truncated cone-shaped LaBr3:Ce/NaI:Tl phoswich detector based on GEANT4 simulation
Authors: Li R. P. , Wang H. D. , Lu Jingbin , Li Chengqian , Situ Zirui , Qu Huan 
Published: January 2023

The anti-Compton phoswich (ACP) detector, which is composed of multiple scintillators with one photomultiplier tube, takes into account the Compton suppression function and portability, and therefore, a discussion on how to design its shape to improve the performance of the detector has become necessary. Based on an ACP detector using a well-typed LaBr3:Ce/NaI:Tl composite scintillator that has been developed in the laboratory in early work, this study uses GEANT4 to simulate and study the influence of the change in the shape and size of the secondary scintillator on the performance of the detector, such as the Compton suppression ratio, the energy resolution, and the full-energy peak (FEP) loss. In the course of the study, we mainly investigate the variation of the performance of the detector in two ways. First, the inclination angle of the truncated cone is gradually changed to compare its FEP address and Compton suppression ratio. Second, the case of the well-shaped and annular-shaped secondary scintillators is compared, respectively, to find out their impact on energy resolution and FEP address. The final results show that, compared with the ACP detector using a φ75 × 90 mm2 LaBr3:Ce/NaI:Tl cylindrical composite scintillator, a truncated cone-shaped composite scintillator of 0.8 inclination may have an equivalent 137% light yield (137% signal-to-noise ratio), a Compton suppression ratio of 89.62% (at 662 keV), 89.98% FWHM energy resolution, and a volume reduction of 36.74%, which means that the weight of the detector is reduced by 2.107 kg.
Cooperative VLC system using OOK modulation with imperfect CSI
Authors: Dwivedy Prashant , Dixit Vipul , Kumar Atul 
Published: January 2023

Abstract
Visible light communication (VLC) is one of the aspirant tools for high data rate communication. VLC system employed in a large room requires cooperative transmission for reliable end-to-end communication. Cooperative communication (CC) utilizes several relay approaches to forward the message from transmitter to envisioned destination, and thus, attains high spatial diversity gain, reduced power consumption, improved transmission reliability, increased coverage area, and potentially enhanced system capacity. This paper investigates the error performance of on-off keying (OOK) modulated VLC system in a cooperative environment, where the relay adopts decode-and-forward (DF) protocol. In particular, two cases of cooperative VLC system are considered; (1) Case I, in which the destination node is in direct link with the previous node while in blockage or outside the field of view (FoV) for all the other nodes, (2) Case II, in which the destination node is in direct link with all upstream nodes. For the practical suitability of the system, the imperfect channel state information (CSI) is considered for performance analysis. The mathematical expressions for bit-error-rate (BER) of the considered systems are derived in the presence of perfect and imperfect CSI. The error performance of the considered systems is investigated for the various system parameters such as signal-to-noise ratio (SNR), channel estimation error and receiver locations. The result shows that for the case of blockage, i.e., Case I, the end-to-end communication for two-hop network can be established with the BER of 2 × 10−4 at 128 dB SNR and channel estimation error of 10−12. Further, in the case of non-blockage, i.e., Case II, the result shows that for two-hop communication, the BER in cooperative transmission improved to 5 × 10−5 in compare to 5 × 10−2 in direct communication, at 128 dB SNR and 10−12 channel estimation error. The extensive simulations are carried out to verify the analytical findings.