bluuebunny/crossref_metadata_2025_split huggingface dataset:
Secure post‐quantum group key exchange: Implementing a solution based on Kyber
Authors: Escribano Pablos José Ignacio , González Vasco María Isabel 
Published: January 2023

AbstractQuantum computing poses fascinating challenges for current cryptography, threatening the security of many schemes and protocols widely used today. To adapt to this reality, the U.S. National Institute for Standards and Technology (NIST) is currently running a standardization process in search of post‐quantum (classical, yet resistant to quantum attacks) cryptographic tools, focusing on signature schemes and key encapsulation mechanisms. Many of the competing proposals also include designs for two‐party key exchange, which can be combined in different ways to fit scenarios involving parties, that is, yielding group key exchange protocols. However, very few implementations of such group protocols are available to practitioners, which face a non‐trivial challenge when deciding how to implement a protocol for establishing secure group sessions in this new post‐quantum scenario. With this in mind, the authors report on the implementation of a secure post‐quantum group key exchange protocol in the so‐called Quantum Random Oracle Model. The protocol decided to implement is based on a KEM called Kyber, which is one of the finalists of the NIST competition. Not only this group construction is the only one available in the literature using a NIST finalist, but also, among all post‐quantum designs the authors are aware of, it uses this strongest security model (as, e.g. in other proposals, the adversarial interaction with the hash functions of the system is assumed to be exclusively classical). Furthermore, experimental evidence is provided supporting this choice in terms of performance, even if the number of involved entities is large (up to 2000). All data and code are publicly available.
A zero‐sample state evaluation model for valve‐side bushing of UHV converter transformer oriented to digital twin under attribute analysis
Authors: Li Zheng , Liu Kai , Lin Mu , Xin Dongli , Tang Hao , Wu Guangning 
Published: January 2023

AbstractThe valve‐side bushing of the UHV converter transformer is the key equipment in the DC transmission project, and its running state directly affects the security and stability of the power system. This paper analyses the attributes of the physical entities, uses the digital twins to establish the state feature set and proposes a zero‐sample state evaluation algorithm for the valve‐side bushing. First, the geometric, materials and electrical characteristics are analyzed, and the detailed components of carrier current are obtained by empirical mode decomposition. Then, COMSOL is used to establish digital twins, verify the validity of twins with axial heat distribution of bushing, and establish a state feature set with the extreme temperature inside and outside bushing. Finally, the fuzzy clustering algorithm is used to classify the state feature set, and the similarity is used as the index to realize the zero‐sample state evaluation of the valve‐side bushing. Through the demonstration and analysis of examples, the evaluation model solves the problems of difficulty in extracting the internal features, fewer fault samples, and training difficulty, which is conducive to improving the operation and maintenance management level of power transmission equipment.
The comparison of biodistribution of glutathione PEGylated nanoliposomal doxorubicin formulations prepared by pre‐insertion and post‐insertion methods for brain delivery in normal mice
Authors: Mehrabian Amin , Dadpour Saba , Mashreghi Mohammad , Zarqi Javad , Askarizadeh Anis , Badiee Ali , Arabi Leila , Moosavian Seyedeh Alia , Jaafari Mahmoud Reza 
Published: January 2023

AbstractSeveral obstacles limit the efficacy of brain tumour treatment, most notably the blood‐brain barrier (BBB), which prevents the brain uptake of the majority of accessible medicines due to tight junctions. The presence of glutathione (GSH) receptors on the BBB surface has been demonstrated in numerous papers; consequently, products containing glutathione as a targeting ligand coupled with nanoliposomes are used to enhance drug delivery across the BBB. Here, the 5% pre‐inserted PEG2000‐GSH PEGylated liposomal doxorubicin was conducted according to 2B3‐101 being tested in clinical trials. In addition, PEGylated nanoliposomal doxorubicin connected to the spacer‐GSH targeting ligand (GSGGCE) and the PEG3400 was conducted using post‐insertion method. Next, in vivo biodistribution of the produced formulations was tested on healthy mice to see if GSGGCE, as the targeted ligand, could cross the BBB compared to 5% pre‐inserted PEG2000‐GSH and Caelyx®. Compared to the pre‐inserted formulation and Caelyx®, the post‐inserted formulations' concentration was lower in the heart and higher in brain tissues, resulting in boosting the brain concentration of accumulated doxorubicin with fewer possible side effects, including cardiotoxicity. In comparison to the pre‐insertion procedure, the post‐insertion method is easier, faster, and more cost‐effective. Moreover, employing PEG3400 and the post‐insertion approach in the PEG3400‐GSGGCE liposomal formulations was found to be effective in crossing the BBB.
Experimental verification for cost function optimization using TOPSIS approach for predictive control of surface mounted PMSM
Authors: Vujji Avinash , Gupta Yelamarthi Bhaksar Sai Subrhamanya , Dahiya Ratna , Bhaskar Mahajan Sagar , Khan Baseem 
Published: January 2023

AbstractIn this article, the selection of weight factor (WF) is improved using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) based cost function (CF) optimization for predictive control in surface mounted permanent magnet synchronous motor (PMSM) drive under different conditions. Basically, the empirical approach used for WF is instinctive and consumes excess time. TOPSIS approach chooses a control action that is closest to the ideal control action's positive solution and farthest from its ideal control action's negative solution. Prioritizing control variables in the CF assures the choice of the best control action throughout each sampling duration. Additionally, predefined switching instants are employed for the CF optimization depending on past optimal control action, reducing the computing duration of the suggested technique. dSPACE controller is used for real‐time execution of traditional and proposed methods under steady and dynamic states. In order to verify the worth of predictive control based on TOPSIS, the hardware responses were compared with traditional DTC and predictive control strategies.
Development of low‐cost leaf spectroscopy based on featured wavelength extraction by fix‐bandwidth Gaussian mixture model
Authors: Long Xingming , Zhang Ruoshuang , Zhou Jing 
Published: January 2023

AbstractLight spectrum analysis of leaves plays an essential role in measuring the contents of carbohydrates and other important compound like proteins. And it is also useful in evaluating the status of vegetation by remote sensing. Here, an approximation method considering the optical response characteristics of multispectral silicon (Si) sensor for the reflection or absorption spectra of leaves is proposed. The light spectrum is analysed by Gaussian mixture models (GMM) with fixed bandwidth firstly, and then the optimal model parameters are derived and validated to balance the complexity of Si sensor and the 2‐norm deviation of spectra, and next a low‐cost framework for the leaf spectroscopy with wireless node is illustrated according to the specific centre‐wavelengths and bandwidths of the GMM, and finally, an experimental prototype with 18‐channel Si sensor node and the developed mobile APP is demonstrated. The simplified strategy and its realization for leaf spectroscopy cast light on large‐scale applications in future agriculture.
Editorial
Authors: Engemann Katharina 
Published: January 2023

Liebe Leserinnen, liebe Leser,in dem Moment, in dem ich dieses Editorial schreibe (es ist Mitte September 2022),
ist der VOD-Kongress in Bad Nauheim zu Ende gegangen und ich halte einen kurzen
Moment inne und lasse Revue passieren, was dort alles passiert ist: die vielen
großen und kleinen Momente, die sich in der Rückschau zu einem
Gesamtbild zusammenfügen. Die große Freude unter den Anwesenden,
sich nach langer Zeit wieder einmal persönlich zu begegnen, war unmittelbar
spürbar. Es ist zu hoffen, dass sich wieder viele andere
Möglichkeiten für den Austausch mit Kollegen ergeben. Dieses Heft
möchte Ihnen ein paar Anregungen für Gesprächsthemen
geben.
Copper(I)-Mediated Decarboxylative N-Arylation of Dioxazolones: Synthesis of N-Aryl Amides
Authors: Park Jinhwan , Jang Dongkyu , Son Jongwoo , An Jihye , Park Yeongmi , Bae Hyeonwoong , Kim Minseok , Lee Joohyun 
Published: January 2023

AbstractDioxazolones, which are potent amide precursors, have been widely explored for the formation of C–N bonds with the help of transition-metal catalysts. Here, we highlight our recent studies on the synthesis of N-aryl amides using dioxazolones and boronic acids in the presence of copper(I) chloride under mild conditions. The versatility of the developed reaction is demonstrated by its wide range of functional-group tolerances as well as the release of nontoxic carbon dioxide. Optimization screenings reveal that a fluorine additive improves the desired reactivity toward the intended transformation. The addition of triphenylphosphine results in an N-acyl iminophosphorane, suggesting the involvement of an N-acyl nitrene intermediate in this transformation.
One country with two systems: The characteristics and development of higher education in the Guangdong–Hong Kong–Macau Greater Bay Area
Authors: Xie Xiujuan , Liu Xu , McNay Ian 
Published: January 2023

AbstractThe creation of bay areas is one way to develop economies and culture based on natural characteristics and regional connections; successful examples include the San Francisco, New York and Tokyo Bay Areas. In 2019, China established the Guangdong–Hong Kong–Macau Greater Bay Area (GBA). As a result of historical and geographical factors, the GBA is uniquely characterised by being subject to ‘one country, two systems’, ‘three customs territories’, and ‘three legal systems’. This study offered ample empirical evidence based on qualitative methods referring to in-depth interviews with academics and managers as well as publicly available policies and literature in the GBA. A thematic analysis was used to explore the context and characteristics of developing higher education (HE) in the GBA. The study emphasised that developing GBA’s HE improved its partnerships from co-operation to strategic co-ordination to resource sharing. This research contributes to HE and its governance in the GBA, a topic on which there is limited information in the extant international research literature. It is also useful to policymakers and scholars as it provides potential strategies and insights regarding the development of regional higher education.
The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure
Authors: Jareño Francisco , Escribano Ana , Umar Zaghum 
Published: January 2023

AbstractThis study aims to examine the impact of the different waves of the COVID-19 pandemic on the connectedness of the BRICS (Brazil, Russia, India, China, and South Africa) term structure of interest rates and its components (level, slope and curvature). For that purpose, this research applies the time-varying parameter vector autoregression (TVP-VAR) approach in order to assess the direction of spillovers among countries and factors and measure their contribution to the connectedness system. Our results show that the total connectedness measure changes over time, and the level and curvature components show connectedness that persists longer than the slope component, both in the first wave of the COVID-19 pandemic. Brazil and South Africa would appear as net transmitters of shocks, whereas China and India are net receivers. Finally, the most significant differences in the net dynamic connectedness between transmitters and receivers were focused on before and during the first wave of the COVID-19 pandemic crisis. Some additional impacts were observed during the last waves of the coronavirus pandemic. To our best knowledge, this is the first study on the connectedness between the yield curves of the BRICS economies and the COVID-19 crisis uncertainty according to the coronavirus MCI, by decomposing the yield curve into its factors (level, slope, and curvature).
Low temperature plasma ablation device for minimally invasive surgery
Authors: Sun Mingyang , Xu Guimin , Zhang Guanjun 
Published: January 2023

This study introduces the design principle of a high-frequency square wave power supply, as well as the simulation and design process of a minimally invasive electrosurgical scalpel, which formed the low temperature plasma in saline solution. In order to verify the performance of the device, saline discharge experiments and pork ablation experiments were performed. An alternating high-frequency square-wave voltage was applied between coaxial double-layer electrodes with a spacing of 400 µm. The waveforms and amplitude of output voltage and current, conductance between electrodes, and output power were measured in saline discharge experiments. The results of pork ablation experiments with different power sources demonstrate that the device can generate low-temperature plasma for ablation rather than relying on thermal effects. The device can ablate pork under the driving of a 10 V, 100 kHz square wave voltage. In addition, the ablation speed and area will be greater with an increase in voltage or frequency.
Sec22b is a critical and nonredundant regulator of plasma cell maintenance
Authors: Bonaud Amélie , Gargowitsch Laetitia , Gilbert Simon M. , Rajan Elanchezhian , Canales-Herrerias Pablo , Stockholm Daniel , Rahman Nabila F. , Collins Mark O. , Taskiran Hakan , Hill Danika L. , Alloatti Andres , Alouche Nagham , Balor Stéphanie , Soldan Vanessa , Gillet Daniel , Barbier Julien , Bachelerie Françoise , Smith Kenneth G. C. , Jellusova Julia , Bruhns Pierre , Amigorena Sebastian , Balabanian Karl , Linterman Michelle A. , Peden Andrew A. , Espéli Marion 
Published: January 2023

Despite the essential role of plasma cells in health and disease, the cellular mechanisms controlling their survival and secretory capacity are still poorly understood. Here, we identified the soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) Sec22b as a unique and critical regulator of plasma cell maintenance and function. In the absence of Sec22b, plasma cells were hardly detectable and serum antibody titers were dramatically reduced. Accordingly,
Sec22b
-deficient mice fail to mount a protective immune response. At the mechanistic level, we demonstrated that Sec22b contributes to efficient antibody secretion and is a central regulator of plasma cell maintenance through the regulation of their transcriptional identity and of the morphology of the endoplasmic reticulum and mitochondria. Altogether, our results unveil an essential and nonredundant role for Sec22b as a regulator of plasma cell fitness and of the humoral immune response.
Multisource electrohydraulic servo valve fault status diagnostic algorithm based on a message propagation mechanism
Authors: Wei Gao , Pengfei Sun , Chao Ai , Lei Wang , Lijuan Chen , Wenting Chen , Shuwei Zheng , Dong Yang 
Published: January 2023

Abstract
Fault identification of electrohydraulic servo valves is crucial to maintain the reliability and safety of high-precision electrohydraulic servo systems. Because the nonlinear characteristics and fault characteristics of electrohydraulic servo systems under noise conditions are implicit, it is difficult to obtain a large number of fault data of electrohydraulic servo valves. Therefore, an electrohydraulic servo valve fault diagnosis model based on characteristic distillation is proposed in this paper. First, the original fault data model is obtained based on an electrohydraulic servo valve fault test platform, the data are standardized, and the data of more than one cycle are extracted using a combination of down sampling and a sliding window for data enhancement. Second, a neural network fault diagnosis algorithm based on stack graph convolution is proposed, which is suitable for detecting different types of states (normal state, wear state, stuck state and coil short-circuit state) of electrohydraulic servo valves. The accuracy of the test set fluctuates between 0.7 and 1.0. Then, because there is a certain relationship between the characteristic smoothing phenomenon of a stack graph convolution model and the number of layers, a multilayer stack graph convolution model is bound to have problems such as model degradation. Therefore, a residual model is introduced into the stack model to improve the convergence speed of the model during the optimization process. The results show that the average accuracy of this method is 100%.
Extraction of incipient fault features of rolling bearings based on CWSSMD and 1.5D-EDEO demodulation
Authors: Wu Kewei , Xiang Dan , Cai Danna , Feng Yuanpeng , Xu Yuxian , Jiang Zhansi 
Published: January 2023

Abstract
The fault feature of a rolling bearing is weak in the incipient fault stage, with severe environmental noise interference, which makes it difficult to extract the fault feature information from the vibration signal. In this paper, an adaptive method based on component-weighted symplectic singular mode decomposition and 1.5-dimensional envelope derivative energy operator (1.5D-EDEO) demodulation is proposed to extract the incipient fault features of a bearing and it does not require manual parameter setting. The method begins with the original vibration signal decomposed by symplectic singular mode decomposition to obtain multiple initial symplectic singular components (ISSCs). Then, the fault information amount of the ISSCs is measured by fault impulse sparsity (FIS) constructed by the Gini index of the square envelope which has a powerful sparsity measurement capability. After this, the ISSCs are reconstructed based on the weights obtained from the FIS to obtain the final denoised symplectic singular component (DSSC). Finally, the DSSC is demodulated by 1.5D-EDEO to further highlight the fault features of the bearing and reduce noise interference. The effectiveness of the proposed method is verified through simulation and experimental analysis. The experimental results show that the proposed method is more effective in enhancing incipient bearing fault features compared to other bearing fault diagnosis methods.
Measuring glacier mass changes from space—a review
Authors: Berthier Etienne , Floriciou Dana , Gardner Alex S , Gourmelen Noel , Jakob Livia , Paul Frank , Treichler Désirée , Wouters Bert , Belart Joaquín M C , Dehecq Amaury , Dussaillant Ines , Hugonnet Romain , Kääb Andreas , Krieger Lukas , Pálsson Finnur , Zemp Michael 
Published: January 2023

AbstractGlaciers distinct from the Greenland and Antarctic ice sheets are currently losing mass rapidly with direct and severe impacts on the habitability of some regions on Earth as glacier meltwater contributes to sea-level rise and alters regional water resources in arid regions. In this review, we present the different techniques developed during the last two decades to measure glacier mass change from space: digital elevation model (DEM) differencing from stereo-imagery and synthetic aperture radar interferometry, laser and radar altimetry and space gravimetry. We illustrate their respective strengths and weaknesses to survey the mass change of a large Arctic ice body, the Vatnajökull Ice Cap (Iceland) and for the steep glaciers of the Everest area (Himalaya). For entire regions, mass change estimates sometimes disagree when a similar technique is applied by different research groups. At global scale, these discrepancies result in mass change estimates varying by 20%–30%. Our review confirms the need for more thorough inter-comparison studies to understand the origin of these differences and to better constrain regional to global glacier mass changes and, ultimately, past and future glacier contribution to sea-level rise.
A U-shaped and alternately driven ultrasonic motor using three bending coupled modes
Authors: Xu Dongmei , Yang Wenzhong , Zhang Xuhui , Yu Simiao , Liang Tenglin 
Published: January 2023

Abstract
Most of ultrasonic motors (USMs) using non-isomorphic hybrid modes have resonance deviation which are easy to produce frequency decoupling, and conventional USMs can only drive rotor once in a working cycle. To overcome these problems, a surface-bonded type of U-shaped USM is proposed in this paper. At the same frequency, three isomorphic fourth-order bending vibration modes can be excited simultaneously and the resonance deviation between modes is eliminated, thus reducing the effect of frequency decoupling. In addition, a fourth-order bending vibration mode on horizontal beam of the U-shaped structure is used to provide pressing force at driving feet, and bending vibration modes on two vertical beams generate driving forces. Under the excitation of orthogonal signals, alternately driven elliptical trajectories are generated at driving feet. Besides, the surface-bonded type USM is more convenient to realize miniaturization and flexible structure. The USM is analyzed by using finite element method. The prototype is fabricated to evaluate performance of the USM. The experimental results show that velocity of the USM is 89.03 mm s−1 when excitation voltage is 180 VP-P and frequency is 86 kHz. The feasibility of working principle is proved by the experimental results.
Model-based investigations of ferroelectric energy harvesting with regard to an improvement of life span and operability
Authors: Warkentin Andreas , Behlen Lennart , Ricoeur Andreas 
Published: January 2023

Abstract
A new ferroelectric energy harvesting concept is investigated theoretically, based on a thermo-electromechanical multiscale constitutive framework in connection with the so-called condensed method. Taking advantage of comparatively large changes of strain and polarization due to domain switching, the electric output is higher compared to what is commonly known as piezoelectric energy harvesting. Dissipative self-heating and augmented damage accumulation, on the other hand, may impede the operability of the harvesting device, in particular if tensile stress is required for depolarization, as suggested by recent works. The new harvesting cycle thus dispenses with tensile stresses and instead exploits the potential of existing residual stresses. It is further investigated to which extent a bias field, commonly applied to support repolarization as an important stage of the cycle, can be omitted, saving considerable effort on the technical implementation. Process parameters are obtained from various simulations by pareto-optimization, considering, inter alia, the effect of ambient temperature.