bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epilepsy protein Efhc1/myoclonin1 is expressed in cells with motile cilia but not in neurons or mitotic apparatuses in brain
Authors: Suzuki Toshimitsu , Inoue Ikuyo , Yamakawa Kazuhiro 
Published: December 2020

AbstractEFHC1 gene encodes the myoclonin1 protein, also known as Rib72-1. Pathogenic variants in EFHC1 have been reported in patients with juvenile myoclonic epilepsy (JME). Although several studies of immunohistological investigations reproducibly showed that the myoclonin1 is expressed in cells with flagella and motile cilia such as sperm, trachea and ependymal cells lining the brain ventricles, whether myoclonin1 is also expressed in neurons still remains controversial. Here we investigated myoclonin1 expression using widely-used polyclonal (mRib72-pAb) and self-made monoclonal (6A3-mAb) anti-myoclonin1 antibodies together with Efhc1 homozygous knock-out (Efhc1−/−) mice. All of the western blot, immunocytochemical, and immunohistochemical analyses showed that mRib72-pAb crossreacts with several mouse proteins besides myoclonin1, while 6A3-mAb specifically recognized myoclonin1 and detected it only in cells with motile cilia but not in neurons. In dividing cells, mRib72-pAb signals were observed at the midbody (intercellular bridge) and mitotic spindle, but 6A3-mAb did not show any signals at these apparatuses. We further found that the complete elimination of myoclonin1 in Efhc1−/− mouse did not critically affect cell division and migration of neurons in cerebral cortex. These results indicate that myoclonin1 is not expressed in neurons, not a regulator of cell division or neuronal migration during cortical development, but expressed in choroid plexus and ependymal cells and suggest that EFHC1 mutation-dependent JME is a motile ciliopathy.
Brain structural network alterations related to serum cortisol levels in drug-naïve, first-episode major depressive disorder patients: a source-based morphometric study
Authors: Nguyen LeHoa , Kakeda Shingo , Watanabe Keita , Katsuki Asuka , Sugimoto Koichiro , Igata Natsuki , Shinkai Takahiro , Abe Osamu , Korogi Yukunori , Ikenouchi Atsuko , Yoshimura Reiji 
Published: December 2020

AbstractHigher cortisol levels due to a hyperactive hypothalamic–pituitary–adrenal axis have been reported in patients with major depressive disorder (MDD). Increased cortisol levels change both the brain morphology and function in MDD patients. The multivariate source-based morphometry (SBM) technique has been applied to investigate neuroanatomical changes in some neuropsychiatric diseases, but not MDD. We aimed to examine the alterations in gray matter (GM) networks and their relationship with serum cortisol levels in first-episode, drug-naïve MDD patients using SBM. Forty-two patients with MDD and 39 controls were recruited via interviews. Morning serum cortisol levels were measured, and high-resolution T1-weighted imaging followed by SBM analysis was performed in all participants. The patients had significantly higher serum cortisol levels than the controls. We found two GM sources, which were significantly different between patients with MDD and controls (prefrontal network, p < .01; insula-temporal network, p < .01). Serum cortisol levels showed a statistically significant negative correlation with the loading coefficients of the prefrontal network (r = − 0.354, p = 0.02). In conclusion, increased serum cortisol levels were associated with reductions in the prefrontal network in the early stage of MDD, and SBM may be a useful approach for analyzing structural MRI data.
Pharmacological insights into Merremia vitifolia (Burm.f.) Hallier f. leaf for its antioxidant, thrombolytic, anti-arthritic and anti-nociceptive potential
Authors: Akter Sahida , Jahan Israt , Khatun Mst. Riniara , Khan Mohammad Forhad , Arshad Laiba , Jakaria Md. , Haque Md. Areeful 
Published: December 2020

Abstract
Merremia vitifolia (Burm.f.) Hallier f., an ethnomedicinally important plant, used in the tribal areas to treat various ailments including fever, headache, eye inflammation, rheumatism, dysentery, jaundice and urinary diseases. The present study explored the biological efficacy of the aqueous fraction of M. vitifolia leaves (AFMV) through in vitro and in vivo experimental models. The thrombolytic and anti-arthritic effects of AFMV were evaluated by using the clot lysis technique and inhibition of protein denaturation technique, respectively. The anti-nociceptive activity of AFMV was investigated in Swiss Albino mice by acetic acid-induced writhing test and formalin-induced paw licking test. The antioxidant activities of AFMV, including 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical and total reducing power, were also tested. The qualitative phytochemical assays exhibited AFMV contains secondary metabolites such as alkaloid, carbohydrate, flavonoid, tannin, triterpenoids and phenols. In addition, AFMV showed strong antioxidant effects with the highest scavenging activity (IC50 146.61 µg/mL) and reducing power was increased with a dose-dependent manner. AFMV also revealed notable clot lysis effect and substantial anti-arthritic activity at higher doses (500 µg/mL) as compared with the control. The results demonstrated a promising reduction of the number of writhing and duration of paw licking in acetic acid-induced writhing test and formalin-induced paw licking test in a dose-dependent manner, respectively. In conclusion, AFMV provides the scientific basis of its folkloric usage, suggesting it as the vital source of dietary supplement.
Quality of service optimisation of device‐to‐device communications underlaying cellular networks
Authors: Osman Radwa Ahmed , Peng Xiao‐Hong , Omar Mohamed A. , Gao Qiang 
Published: December 2020

AbstractDevice‐to‐device (D2D) communications play a significant role in increasing the capacity of cellular networks. D2D enables direct interaction between mobile users without traversing the base station (BS) and at the same time causes interference between D2D and cellular links which can affect the system performance. To ensure efficient and reliable D2D operations within a cellular network, the related quality of service (QoS) requirement needs to be met in the design of such a system involving both D2D and cellular users in a same network. In this study, we have investigated three different transmission schemes (cellular, D2D and cooperative D2D modes) by deriving the closed‐form expressions of key QoS performance such as system reliability, achievable data rate, and energy efficiency for these three transmission schemes. Based on this establishment, we have also examined the effects of using different numbers of parallel relay branches and different number of relays within each branch on the network performance to reveal how effectively the cooperative D2D can enhance QoS in comparison with other transmission methods. The proposed approach can be optimised through adaptively selecting appropriate transmission schemes and, as a result, good trade‐offs between system reliability and efficiency can also be achieved under various environmental conditions.
QoE‐centric interference‐aware Stackelberg game for cache delegation relay in wireless multimedia communications
Authors: He Shuan , Wang Wei 
Published: December 2020

AbstractRelaying multimedia with decent Quality of Experience (QoE) is paramount for future wireless networks. In this paper, the problem of multimedia cache relay delegation with device‐to‐device (D2D) communication interference is studied. A solution with gametheoretic cached multimedia relay is proposed considering the mutual interference between the downlink relay and the succeeding uplink communications. The interference between D2D and uplink is modelled in the game competition. In the proposed solution, the base station (BS) and relay device (RD) are treated as two rational game players, where the BS acts as the leader, and RD acts as the follower. The utilities of BS, and RD are modelled using the expected QoE of the user equipment (UE). Analytical modeling shows that the system achieves the desirable state by acquiring the Stackelberg game equilibrium between the BS, and RD. The models show that the RD gets positive incentives for relaying, the UE experiences better QoE through D2D communication, and BS achieves higher payoff. Various cases are quantitatively analysed whether the Nash Equilibrium exists with numerical discussion. Various relay to uplink ratios, amount of relay traffic, transmission distances between relay and uplink, as well as various numbers of interference uplinks are also studied.
Energy cooperation in wireless relay networks
Authors: Liu Xiangli , Liu Dongni , He Zhiyu , Li Zan 
Published: December 2020

AbstractThis work deals with the problem of insufficient energy caused by the frequent use of relay nodes in wireless sensor networks. Here, energy cooperation relay selection algorithm is proposed in energy heterogeneous networks. It is assumed that the location of relay nodes obeys a homogeneous Poisson point process (PPP), and the relay nodes adopt an adaptive energy collection technology, which can harvest energy from the surrounding environment and decide whether to use or store it according to the current energy status of the battery. The relay nodes are divided into three kinds: the communication relay, the candidate relay and the ordinary relay. The candidate relay nodes are determined by K‐medoids clustering algorithms and the ordinary relay nodes transmit energy to them. Finally, the number of data packets sent by relay nodes and the expression of the energy status of the battery are derived correspond to the relay cooperation selection algorithm. The simulation results show that the energy cooperation relay selection scheme effectively extends lifetime of the network when the total network energy is relatively small.
Disturbance estimation based tracking control for periodic piecewise time‐varying delay systems
Authors: Sakthivel Rathinasamy , Harshavarthini Shanmugam , Tatar Nasser‐Eddine 
Published: December 2020

AbstractThis work is mainly focused on the design of uncertainty and disturbance estimator‐based tracking control scheme for a class of periodic piecewise time‐varying delay systems with uncertainties and disturbances. Precisely, the considered system consists of several subsystems, where the fixed dwell time and switching sequence are utilised to achieve the coordination between each subsystem. By constructing Lyapunov–Krasovskii functional with time‐varying periodic piecewise matrices and employing the matrix polynomial approach, an uncertainty and disturbance estimator‐based periodic tracking control design is developed such that the trajectories of the considered system are driven to track the reference model. Moreover, the lumped disturbances so called the summation of uncertainties and exogenous disturbances are estimated with the aid of strictly proper low‐pass filter. Finally, a numerical example is presented to verify the effectiveness and advantages of the developed theoretical results.
Disturbance attenuation and response time improvement of permanent magnet synchronous linear motor by using robust predictive resonant current control
Authors: Wang Zhen , Zhao Jiwen 
Published: December 2020

AbstractThis paper proposes a robust predictive resonant current control to improve the dynamic and anti‐disturbance performance of the permanent magnet synchronous linear motor (PMSLM). First, the disturbance caused by parameters variation is considered in modelling PMSLM. Based on this model, a robust predictive current control (RPCC) with mover current and disturbance estimation is derived, which is used to simultaneously overcome the time‐delay and estimate the parameters disturbance. Then, in order to further suppress periodic disturbance caused by voltage source inverter non‐linearity, an appropriate resonant controller is embedded in the RPCC. Finally, a precise test platform based on semi‐physical system AD5435 is established, and experimental results show the validity of the proposed approach.
Online detection of inter‐turn short‐circuit fault in dual‐redundancy permanent magnet synchronous motor
Authors: Yang Yukai , Chen Yiguang , Hao Weijie 
Published: December 2020

AbstractAn online detection method for the inter‐turn short‐circuit fault (ISCF) of a dual‐redundancy permanent magnet synchronous motor (DRPMSM) is proposed. First, the electromagnetic relationships in a DRPMSM without mutual inductances are analysed theoretically upon the occurrence of the ISCF. Then, a simulation model of the motor with ISCF is established, and the arithmetic mean for the ratio of the squared amplitude difference between two sets of space voltage vectors to squared frequency is used to identify the faulty winding by the difference between the back electromotive force and impedance of the dual winding. It is shown to be valid even with variations in the load, speed, contact resistance, and number of short‐circuit turns. The simulation and experimental results thus verify the effectiveness of the proposed method.
A hybrid prediction model for photovoltaic power generation based on information entropy
Authors: Pu Shiping , Li Zhiyong , Wan Hui , Chen Yougen 
Published: December 2020

AbstractPhotovoltaic power is affected by various random and coupled meteorological factors, and its changing trend implies the non‐linear effects of these factors. According to the quantitative analysis results, a statistical prediction model is proposed to accurately predict the power, which is of great significance to the safe and efficient use of solar energy. In this study, the authors first use grey relation analysis to select four main meteorological factors affecting photovoltaic power. Further, they combine grey relation analysis with information entropy and apply grey relation entropy to similar day analysis. On this basis, they take grey relation analysis to optimise extreme learning machine model to establish the grey relation analysis‐extreme learning machine model, while taking similar day analysis to optimise firefly algorithm to establish the similar day analysis‐firefly algorithm. By combining the two sub‐models with information entropy, a hybrid prediction model for photovoltaic power generation based on information entropy is proposed. The experimental results show that in various weather conditions, the values of mean absolute percentage error, root mean square error and standard deviation of error are 2.8425%, 2.5675 and 2.2642, respectively. Therefore, the proposed hybrid model has superior prediction performance.
Molecule diffusion behaviours of waterproof sealants into silicone rubber insulation for submarine cable joint based on molecular dynamics simulations
Authors: Zhang Zhenpeng , Wang Heyu , Li Zhonglei , Zhao Jiankang , Wang Shaohua , Pan Wenlin , Li Wenjie , Li Te , Du Boxue 
Published: December 2020

AbstractThe repair joints of high‐voltage cables play a significant role in the urgent cable maintenance, by recovering cable conductor, insulation, shielding layer and waterproof layer especially for submarine cables. However, the molecule diffusion and permeation processes from waterproof sealant into the cable joint insulation occur, leading to the insulation ageing and deterioration. In this article, the molecule diffusion behaviours of six typical molecules from the asphalt‐based and polyurethane‐based waterproof sealants into silicone rubber insulation are investigated. The results show that the order of diffusion coefficients is as follows, phenanthrene > fluoranthene > pyrene > benzo [k] fluoranthene > indeno [1,2,3‐cd] pyrene > polyurethane (PU). The relative molecular mass and binding energy are pivotal factors affecting the diffusion behaviour, while there is a linear relationship between the logarithm of the diffusion coefficient and the ratio of binding energy to relative molecular mass. Besides, the rising ambient temperature increases the fraction of free volume of silicone rubber and decreases the binding energy, thus resulting in a higher diffusion coefficient and an enhanced permeation process of the asphalt‐based sealant. In summary, the PU‐based waterproof sealant, with a much lower permeability than the asphalt‐based material, has a potential application in the waterproof layer for high‐voltage submarine cable repair joints.
Performance of silicone rubber composites using boron nitride to replace alumina tri‐hydrate
Authors: Chen Xin , Wang Jiaqi , Zhang Chong , Yang Wei , Lin Jun , Bian Xingming , He Shaojian 
Published: December 2020

AbstractBoron nitride (BN) has attracted increasing attention as a filler using in insulating materials. In this work, by using an equal amount of BN to replace alumina tri‐hydrate (ATH), various SR/BN/ATH composites were prepared, and for comparison, vinyl tri‐methoxysilane (VTMS) was added to prepare SR/BN/ATH‐VTMS composites. With the increasing BN content, Shore A hardness, breakdown strength and thermal conductivity of the silicone rubber (SR) composites increased despite the tensile strength slightly reduced. By replacing all the ATH with BN, the SR composite showed a ∼47% increase in breakdown strength, reaching 33.8 kV mm−1. The lower dielectric constant and dielectric loss were found for the SR composites with higher BN content, while the decreased dielectric loss and increased dielectric constant were achieved by the introduction of VTMS. Owing to the improved filler‐rubber interfacial interactions by adding VTMS, with the same BN content, all the SR/BN/ATH‐VTMS composites exhibited better property than the SR/BN/ATH composites. The best thermal conductivity of the SR composite reached 0.448 Wm−1 K−1, ∼156% higher than that of the ATH filled SR composite.
Insertion Reaction of 2-Halo-N-allylanilines with K2S Involving Trisulfur Radical Anion: Synthesis of Benzothiazole Derivatives under Transition-Metal-Free Conditions
Authors: Zhao Yan-Wei , Wang Shun-Yi , Liu Xin-Yu , Jiang Tian , Rao Weidong 
Published: December 2020

AbstractA synthesis of benzothiazole derivatives through the reaction of 2-halo-N-allylanilines with K2S in DMF is developed. The trisulfur radical anion S3·–, which is generated in situ from K2S in DMF, initiates the reaction without transition-metal catalysis or other additives. In addition, two C–S bonds are formed and heteroaromatization of benzothiazole is triggered by radical cyclization and H-shift.
Argumentum ad Ignorantiam: Smartphone-Connected Listening Devices
Authors: Maidment David W. , Amlani Amyn M. 
Published: December 2020

AbstractIn this article, we review the current literature assessing the application and benefits of connected hearing technologies, as well as their potential to improve accessibility to and affordability of hearing healthcare. Over the past decade, there has been a proliferation of hearing devices that connect wirelessly to smartphone technologies via Bluetooth. These devices include (1) smartphone-connected hearing aids that must be obtained from a licensed audiologist or hearing aid dispenser; (2) direct-to-consumer devices, such as personal sound amplification products; and (3) smartphone-based hearing aid applications (or apps). Common to all these connected devices is that they permit the user to self-adjust and customize their device programs via an accompanying smartphone app. There has been a growing body of literature assessing connected hearing devices in adults living with hearing loss. Overall, the evidence to date supports the notion that all connected hearing devices can improve accessibility to and affordability of amplification. It is unclear, however, whether connected technologies are a clinically effective alternative to traditional hearing aids. Even so, the impact of connectivity is especially pertinent given the sudden disruption caused by the recent global COVID-19 pandemic, whereby connected technologies enable patients to receive treatment through mobile-based, tele-audiology platforms.
Behavioral Validation of the Smartphone for Remote Microphone Technology
Authors: Tittle Stephanie , Thibodeau Linda M. , Panahi Issa , Tokgoz Serkan , Shankar Nikhil , Bhat Gautam Shreedhar , Patel Kashyap 
Published: December 2020

AbstractAs part of a National Institutes of Health–National Institute on Deafness and Other communication Disorders (NIH-NIDCD)–supported project to develop open-source research and smartphone-based apps for enhancing speech recognition in noise, an app called Smartphone Hearing Aid Research Project Version 2 (SHARP-2) was tested with persons with normal and impaired hearing when using three sets of hearing aids (HAs) with wireless connectivity to an iPhone. Participants were asked to type sentences presented from a speaker in front of them while hearing noise from behind in two conditions, HA alone and HA + SHARP-2 app running on the iPhone. The signal was presented at a constant level of 65 dBA and the signal-to-noise ratio varied from −10 to +10, so that the task was difficult when listening through the bilateral HAs alone. This was important to allow for improvement to be measured when the HAs were connected to the SHARP-2 app on the smartphone. Benefit was achieved for most listeners with all three manufacturer HAs with the greatest improvements recorded for persons with normal (33.56%) and impaired hearing (22.21%) when using the SHARP-2 app with one manufacturer's made-for-all phones HAs. These results support the continued development of smartphone-based apps as an economical solution for enhancing speech recognition in noise for both persons with normal and impaired hearing.
Remote Learning for Children with Auditory Access Needs: What We Have Learned during COVID-19
Authors: Johnson Cheryl DeConde 
Published: December 2020

AbstractCOVID-19 has challenged most everyone in every facet of life. In the beginning of the pandemic shutdown, schools had to make decisions quickly often with limited planning. For students who were deaf or hard of hearing, communication access during instruction was the urgent focus of teachers of the deaf/hard of hearing and educational audiologists. The move from the classroom to home resulted in both predictable and unpredictable challenges as well as some unexpected benefits. Based on numerous conversations with these professionals as well as parents, the challenges encountered with online learning and solutions that were implemented to support students are reported.
Recent advances in computational liquid-phase 77Se NMR
Authors: Krivdin Leonid B. 
Published: December 2020

This review aims to highlight significant progress in the calculation of 77Se NMR chemical shifts and spin – spin coupling constants involving selenium substantiated with a vast amount of experimental data. The material is arranged in two basic sections: the first one dealing with the calculation of 77Se NMR chemical shifts and the second one dealing with the computation of spin – spin coupling constants involving 77Se nucleus, namely 77Se–1H, 77Se–13C and 77Se–77Se together with some more exotic types of couplings, 77Se – 15N, 77Se–19F, 77Se–29Si and 77Se–31P. A special attention is focused on the stereoelectronic effects involving selenium atom and their manifestation in the 77Se NMR spectra of organoselenium compounds studied with the aid of the modern calculation of 77Se NMR parametres in combination with experimental results.
The bibliography includes 114 references.
Bioanalytical applications of Mössbauer spectroscopy
Authors: Kamnev Alexander A. , Tugarova Anna V. 
Published: December 2020

AbstractData on the applications of Mössbauer spectroscopy in the transmission (mainly on57Fe nuclei) and emission (on57Co nuclei) variants for analytical studies at the molecular level of metal-containing components in a wide range of biological objects (from biocomplexes and biomacromolecules to supramolecular structures, cells, tissues and organisms) and of objects that are participants or products of biological processes, published in the last 15 years are discussed and systematized. The prospects of the technique in its biological applications, including the developing fields (emission variant, use of synchrotron radiation), are formulated.The bibliography includes 248 references.