bluuebunny/crossref_metadata_2025 huggingface dataset:
Highly active CoNi nanoparticles confined in N-doped carbon microtubes for efficient catalytic performance
Authors: He Xiaoying , Zhang Min , Jin Ziqi , Zheng Jing , Xu Jingli , Yin Xue-Bo
Published: October 2022

CoNi@NCMT magnetic composites with a tubular structure and high coverage of tiny CoNi bimetallic nanoparticles are fabricated as efficient catalysts for the reduction of 4-nitrophenol (4-NP).
Recovery of per- and polyfluoroalkyl substances after solvent evaporation
Authors: Weed Rebecca A. , Boatman Anna K. , Enders Jeffrey R.
Published: October 2022

Presented data shows that vacuum evaporative concentration of PFAS standards can cause class-specific loss of material that can be mitigated via recovery steps.
A TC/WMS-TDLAS mid-infrared detection method for ultra-low concentration carbon isotope methane
Authors: Wang Bin , Tang Xiaojun , Gan Yuanying , Li Xiaoshan , Lu Youshui
Published: October 2022

In this study, a TC/WMS-TDLAS detection method for carbon isotope methane is proposed. By controlling the operating temperature of the laser source and the gas cell, the measurement of ultra-low concentration carbon isotope methane was achieved.
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
Authors: Botifoll Marc , Pinto-Huguet Ivan , Arbiol Jordi
Published: October 2022

The cross-fertilisation between the listed disciplines with a long standing knowledge on the application of artificial intelligence protocols and electron microscopy for materials science can entail the next breakthroughs in the field.
Electrochemical corrosion behavior and mechanism of iron-oxidizing bacteria Thiobacillus ferrooxidans from acid mine drainage on Q235 carbon steel
Authors: Lin Li , Tsou Chi-Hui , Dou Baojie , Yan Shisen , Zeng Ying , Gong Min
Published: October 2022

Bread or steel! Is it true that some microbes can eat steel as bread? Dear friends, come and have a look!
The cucurbit[7]uril effect on reference substances for NMR in deuterium oxide solution
Authors: Tsutsumi Hiroyuki , Ohata Tomonori , Nakashima Rie , Ikeda Hirohito
Published: October 2022

The effect of macrocyclic molecule cucurubit[7]uril on the chemical shifts of internal reference substances for NMR studies in deuterium oxide solution and the cause were investigated.
Proton conductivity studies on two non-porous coordination complexes with different proton densities
Authors: Lu Ying-Bing , Lin Xue-Lian , Ai Jia-Hao , Cai Yu-Zheng , Li Shui-Qing , Li Rong , Zhang Shi-Yong , Xie Yong-Rong , Zhu Shui-Dong
Published: October 2022

Two new complexes with similar 1D chain structures using 2,6-dicarboxy-4-hydroxypyridine ligands were obtained. Interestingly, the proton conductivity of 1 is 5.2 times higher than that of 2 because it has a higher proton density.
Single-thermal synthesis of bimetallic Co/Zn@NC under solvent-free conditions as an efficient dual-functional oxygen electrocatalyst in Zn–air batteries
Authors: Wang Zechen , Hou Xiaotong , Dekyvere Sander , Mousavi Bibimaryam , Chaemchuen Somboon
Published: October 2022

A straightforward in-situ thermal (IST) method is developed to synthesize bimetallic Co/Zn embedded in nitrogen-doped three-dimensional carbon (CoZn@NC_IST).
Interfacing MnO and FeCo alloy inside N-doped carbon hierarchical porous nanospheres derived from metal–organic framework to boost high-performance oxygen reduction for Zn–air batteries
Authors: Duan Xinde , Xia Minqi , Hu Xixi , Yang Lijun , Zheng Hegen
Published: October 2022

MOF-derived CoFe@MnO heterointerfaces embedded in N-doped carbon nanospheres with a hierarchical porous structure achieve excellent ORR (E1/2 = 0.86 V) performance and a large specific capacity (812 mA h g−1) as the cathode for a Zn–air battery.
Synthesis and rotational dynamics of diazamacrocycles having bridged 1,4-naphthylene as framed molecular rotors
Authors: Kurimoto Taichi , Inagaki Yusuke , Ohara Kazuaki , Yamaguchi Kentaro , Setaka Wataru
Published: October 2022

1,4-Naphthylene bridged diazamacrocycles were synthesized and characterized as novel framed molecular rotors, and dependence of the rotation on the frame size was investigated.
New reagent space and new scope for the Castagnoli–Cushman reaction of oximes and 3-arylglutaconic anhydrides
Authors: Bannykh Anton , Levashova Ekaterina , Bakulina Olga , Krasavin Mikhail
Published: October 2022

The Castagnoli–Cushman reaction of oximes, previously known only for homophthalic anhydride, was extended to 3-arylglutaconic anhydrides to produce a new family of cyclic hydroxamic acids from a significantly improved diversity of oxime substrates.
Photomediated RAFT step-growth polymerization with maleimide monomers
Authors: Clouthier Samantha Marie , Tanaka Joji , You Wei
Published: October 2022

Photomediated RAFT step-growth polymerization was performed with and without the presence of a photocatalyst using a trithiocarbonate-based CTA and a maleimide monomer.
Wheel-shaped molybdenum(v) cobalt-phosphate cluster as a highly sensitive bifunctional photoelectrochemical sensor for the trace determination of Cr(vi) and tetracycline
Authors: Zhang Xiu-Juan , Ma Yuan-Yuan , Bi Hao-Xue , Yin Xiao-Yu , Song Hao , Liu Man-Hui , Han Zhan-Gang
Published: October 2022

A wheel-shaped {Co16Mo16P24} cluster-based 3-D crystal framework serves as an efficient bifunctional photoelectrochemical sensor for the trace determination of Cr(vi) and tetracycline.
Annulation of phosphole sulfides via [3 + 2] cycloaddition with nitrones
Authors: Hou Yueshan , Cui Mingyue , Zhang Keke , Chen Lihui , Tian Rongqiang
Published: October 2022

We developed a facile pathway for the construction of the phospholene fused isoxazolidine skeleton through the [3 + 2] cycloaddition reaction of phosphole sulfides.
Crystallographic interface control of the plasmonic photocatalyst consisting of gold nanoparticles and titanium(iv) oxide
Authors: Naya Shin-ichi , Akita Atsunobu , Morita Yoko , Fujishima Musashi , Tada Hiroaki
Published: October 2022

In the represented plasmonic photocatalyst consisting of Au nanoparticles (NPs) and TiO2, the combination of crystal facet engineering of TiO2 and atom-level-interface control between Au NP and TiO2 gives rise to a drastic activity enhancement.
Advances in predictive chemistry enable a multi-scale rational design approach for biofuels with advantaged properties
Authors: Lockwood Katherine S. , Ahmed Sheikh F. , Huq Nabila A. , Stutzman Sadie C. , Foust Thomas D. , Labbe Nicole J.
Published: October 2022

Process of building predictive gas-phase chemical mechanisms faster and less computationally intensive using state of the art automated chemical tools and linking the predicted chemical reactivity to underlying chemical structure information.
Effective separation of LiNi0.5Co0.2Mn0.3O2cathode material and Al foilviadigestion of PVDF enabling a closed-loop recycle
Authors: Qin Zuoyu , Li Jiaqi , Zhang Tao , Wen Zuxin , Zheng Zhicheng , Zhang Ying , Zhang Ning , Jia Chuankun , Liu Xiaohe , Chen Gen
Published: October 2022

With the ever-growing market of electric vehicles, spent lithium-ion batteries (LIBs) eventually turn into a very challenging issue to both the environment and resource sustainability. Recycling is key step to enable a closed-loop battery industry.
Claspin haploinsufficiency leads to defects in fertility, hyperplasia and an increased oncogenic potential
Authors: Madgwick Suzanne , Luli Saimir , Sellier Helene , Butterworth Jacqueline A. , Leslie Jack , Moore Adam J. , Corbin Emma K. , Yemm Adrian I. , Chiremba Robson T. , Tiniakos Dina , Oakley Fiona , Perkins Neil D. , Hunter Jill E.
Published: October 2022

Claspin is an adaptor protein required for ATR-dependent phosphorylation of CHK1 during S-phase following DNA replication stress. Claspin expression is highly variable in cancer, with low levels frequently correlating with poor patient survival. To learn more about the biological consequences of reduced Claspin expression and its effects on tumorigenesis, we investigated mice with a heterozygous knockout of the Clspn gene. Claspin haploinsufficiency resulted in reduced female fertility and a maternally inherited defect in oocyte meiosis I cell cycle progression. Furthermore, aged Clspn+/− mice developed spontaneous lymphoid hyperplasia and increased susceptibility to non-alcoholic fatty liver disease. Importantly, we demonstrate a tumour suppressor role for Claspin. Reduced Claspin levels result in increased liver damage and tumourigenesis in the DEN model of hepatocellular carcinoma. These data reveal that Clspn haploinsufficiency has widespread unanticipated biological effects and establishes the importance of Claspin as a regulatory node controlling tumorigenesis and multiple disease aetiologies.
Regulation of CHK1 inhibitor resistance by a c-Rel and USP1 dependent pathway
Authors: Hunter Jill E. , Campbell Amy E. , Hannaway Nicola L. , Kerridge Scott , Luli Saimir , Butterworth Jacqueline A. , Sellier Helene , Mukherjee Reshmi , Dhillon Nikita , Sudhindar Praveen D. , Shukla Ruchi , Brownridge Philip J. , Bell Hayden L. , Coxhead Jonathan , Taylor Leigh , Leary Peter , Hasoon Megan S.R. , Collins Ian , Garrett Michelle D. , Eyers Claire E. , Perkins Neil D.
Published: October 2022

Previously, we discovered that deletion of c-Rel in the Eµ-Myc mouse model of lymphoma results in earlier onset of disease, a finding that contrasted with the expected function of this NF-κB subunit in B-cell malignancies. Here we report that Eµ-Myc/cRel−/− cells have an unexpected and major defect in the CHK1 pathway. Total and phospho proteomic analysis revealed that Eµ-Myc/cRel−/− lymphomas highly resemble wild-type (WT) Eµ-Myc lymphomas treated with an acute dose of the CHK1 inhibitor (CHK1i) CCT244747. Further analysis demonstrated that this is a consequence of Eµ-Myc/cRel−/− lymphomas having lost expression of CHK1 protein itself, an effect that also results in resistance to CCT244747 treatment in vivo. Similar down-regulation of CHK1 protein levels was also seen in CHK1i resistant U2OS osteosarcoma and Huh7 hepatocellular carcinoma cells. Further investigation revealed that the deubiquitinase USP1 regulates CHK1 proteolytic degradation and that its down-regulation in our model systems is responsible, at least in part, for these effects. We demonstrate that treating WT Eµ-Myc lymphoma cells with the USP1 inhibitor ML323 was highly effective at reducing tumour burden in vivo. Targeting USP1 activity may thus be an alternative therapeutic strategy in MYC-driven tumours.
Up-regulation of the PI3K/AKT and RHO/RAC/PAK signalling pathways in CHK1 inhibitor resistant Eµ-Myc lymphoma cells
Authors: Hunter Jill E. , Campbell Amy E. , Kerridge Scott , Fraser Callum , Hannaway Nicola L. , Luli Saimir , Ivanova Iglika , Brownridge Philip J. , Coxhead Jonathan , Taylor Leigh , Leary Peter , Hasoon Megan S. R. , Eyers Claire E. , Perkins Neil D.
Published: October 2022

The development of resistance and the activation of bypass pathway signalling represents a major problem for the clinical application of protein kinase inhibitors. While investigating the effect of either a c-Rel deletion or RelAT505A phosphosite knockin on the Eµ-Myc mouse model of B-cell lymphoma, we discovered that both NF-κB subunit mutations resulted in CHK1 inhibitor resistance, arising from either loss or alteration of CHK1 activity, respectively. However, since Eµ-Myc lymphomas depend on CHK1 activity to cope with high levels of DNA replication stress and consequent genomic instability, it was not clear how these mutant NF-κB subunit lymphomas were able to survive. To understand these survival mechanisms and to identify potential compensatory bypass signalling pathways in these lymphomas, we applied a multi-omics strategy. With c-Rel−/− Eµ-Myc lymphomas we observed high levels of Phosphatidyl-inositol 3-kinase (PI3K) and AKT pathway activation. Moreover, treatment with the PI3K inhibitor Pictilisib (GDC-0941) selectively inhibited the growth of reimplanted c-Rel−/− and RelAT505A, but not wild type (WT) Eµ-Myc lymphomas. We also observed up-regulation of a RHO/RAC pathway gene expression signature in both Eµ-Myc NF-κB subunit mutation models. Further investigation demonstrated activation of the RHO/RAC effector p21-activated kinase (PAK) 2. Here, the PAK inhibitor, PF-3758309 successfully overcame resistance of RelAT505A but not WT lymphomas. These findings demonstrate that up-regulation of multiple bypass pathways occurs in CHK1 inhibitor resistant Eµ-Myc lymphomas. Consequently, drugs targeting these pathways could potentially be used as either second line or combinatorial therapies to aid the successful clinical application of CHK1 inhibitors.
Measuring muscle protein synthesis in humans and the influence of nutritional state
Authors: Calder Philip C. , Deutz Nicolaas E.P.
Published: October 2022

In 1982 and 2011, Clinical Science published papers that used infusion of stable isotope-labeled amino acids to assess skeletal muscle protein synthesis in the fasted and fed state and before and after a period of increased intake of omega-3 fatty acids, respectively; both of these papers have been highly cited. An overview of the study designs, key findings and novel features, and a consideration of the lasting impact of these two papers is presented.

The earlier paper introduced stable isotope tracer approaches in humans that showed consuming a meal will increase whole body oxidation, synthesis, and breakdown of protein, but that protein synthesis is greater than breakdown resulting in net accumulation of protein. The paper also demonstrated that consuming a meal promotes net protein synthesis in skeletal muscle.

The later paper introduced the concept that omega-3 polyunsaturated fatty acids are able to improve anabolism by reporting that 8 weeks consumption of high-dose omega-3 fatty acids by healthy young and middle-aged adults increased skeletal muscle protein synthesis during a hyperaminoacidemic–hyperinsulinemic clamp compared with what was seen during the clamp at study entry. Omega-3 fatty acids also increased the phosphorylation of important signaling proteins in muscle, including mammalian target of rapamycin, p70s6k, and Akt, during the clamp.

These two papers remain relevant because they offer experimental approaches to study human (patho)physiology in different contexts, they present novel insights into the impact of nutritional state (feeding) and specific nutrients (omega-3 fatty acids) on muscle protein synthesis, and they suggest ways to explore the potential of interventions to help prevent and reverse the age-, disease-, and disuse-associated decline in muscle mass.
Recent developments in stimuli‐responsive hydrogels for biomedical applications
Authors: Liu Shuyun , Li Xiaozhuang , Han Lu
Published: October 2022

Hydrogels exhibit a performance similar to that of the extracellular matrix and are compatible with human tissues and organs. Stimuli‐responsive hydrogels that can respond smartly to a variety of stimuli have recently attracted extensive interest for biomedical applications. The response of these hydrogels to various single/multiple stimuli shows great potential for drug delivery, biosensors, wound dressing, cancer therapy, and tissue engineering. This review summarises the recent advances in the design of different stimuli‐responsive hydrogels and their biomedical applications. We herein describe the mechanisms underlying the stimulus–response, and summarise the strategies for fabricating stimuli‐responsive hydrogels that can respond to single or multiple stimuli from endogenous (i.e. pH, enzymes, glucose, and reactive oxygen species) or exogenous (i.e. magnetic and electric fields, temperature, and photo) sources. The current challenges faced by stimuli‐responsive hydrogels are discussed and an outlook on future research directions is provided.
Learning‐based distributed adaptive control of heterogeneous multi‐agent systems with unknown leader dynamics
Authors: Mei Di , Sun Jian , Dou Lihua , Xu Yong
Published: October 2022

This study focuses on the distributed adaptive tracking control of heterogeneous multi‐agent systems with unknown leader dynamics in a directed graph. In contrast to the reported leader‐following consensus studies, the prior knowledge of the leader is supposed to be cognised to some or all of followers, the situation that the leader's dynamics is totally unrecognised but can be learnt for each individual follower is considered. A data‐driven learning algorithm using the systems data is developed to reconstruct the unknown systems matrix. Then, an adaptive distributed dynamic compensator is exploited to provide the leader's state estimation in a directed graph. Afterwards, a dynamic output feedback control law for each agent is projected. Theoretical analysis shows that the proposed algorithms not only ensure that all followers can identify the unknown system matrix, but also guarantee that the distributed output leader‐following consensus control with heterogeneous dynamics is achieved without any global information. Finally, a numerical example is provided to testify the proposed algorithms.
Data‐driven sensor fault detection and isolation of nonlinear systems: Deep neural‐network Koopman operator
Authors: Bakhtiaridoust Mohammadhosein , Irani Fatemeh Negar , Yadegar Meysam , Meskin Nader
Published: October 2022

This paper proposes a data‐driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis functions for the Koopman operator to form a linear predictor for a nonlinear system. Then, the obtained Koopman predictor has been used in a geometric framework for sensor fault detection and isolation purposes without relying on a priori knowledge about the underlying dynamics as well as requiring faulty data, leading to a data‐driven sensor fault detection and isolation framework for nonlinear systems. Finally, the approach's efficacy is demonstrated using simulation case study on a two‐degree of freedom robot arm.
Received signal strength indicator‐based set‐membership filtering indoor localization under multipath effect
Authors: Yang Bo , Dong Rongrong , Shang Junqiang , Liu Yadong
Published: October 2022

The indoor moving target localization based on the received signal strength indicator is studied in this paper. By introducing filtering algorithms, a novel dynamic parameters set‐membership filtering (DPSMF) is proposed to reduce the interference of the multipath effect and noises. First, the higher‐order remainder is included in the bounded range based on the interval mathematics method to improve the linearization accuracy of the Taylor series expansion of the measurement function. Second, the parameters to be determined in the channel model are set to local dynamic parameters, which are obtained by solving a particular semi‐definite programming problem. Third, the optimized localization estimations of the target node at each sampling instant and the ellipsoid set containing the real state of the system are obtained based on the DPSMF. Finally, an example is given to verify the effectiveness of the proposed DPSMF algorithm.
An augmented two‐phase method for spread sampling
Authors: Lu Jie , Chen Hongchang , Zhang Zhen , Zhang Jianpeng , Zhang Zheng
Published: October 2022

Sampling is widely used to handle the mismatch between the line rate and the processing throughput of a traffic measurement module. Spread sampling, which only samples the elements in each flow when they appear for the first time and ignores them for subsequent appearances, is required for flow‐spread measurement. The previous works on spread sampling suffer from poor accuracy and slow speed. In this paper, the authors proposed an augmented two‐phase method with fast speed and low error to achieve spread sampling in that each distinct element is sampled with a predefined probability only at the first occurrence. The experiment results based on real Internet traffic traces show that our method achieves a smaller sampling error and a high line rate.
Error Estimates for a Tree Structure Algorithm Solving Finite Horizon Control Problems
Authors: Saluzzi Luca , Alla Alessandro , Falcone Maurizio
Published: October 2022

In the dynamic programming approach to optimal control problems a crucial role is played by the value function that is characterized as the unique viscosity solution of a Hamilton-Jacobi-Bellman (HJB) equation. It is well known that this approach suffers from the “curse of dimensionality” and this limitation has reduced its use in real world applications. Here, we analyze a dynamic programming algorithm based on a tree structure to mitigate the “curse of dimensionality”. The tree is built by the discrete time dynamics avoiding the use of a fixed space grid which is the bottleneck for highdimensional problems, this also drops the projection on the grid in the approximation of the value function. In this work, we present first order error estimates for the the approximation of the value function based on the tree-structure algorithm. The estimate turns out to have the same order of convergence of the numerical method used for the approximation of the dynamics. Furthermore, we analyze a pruning technique for the tree to reduce the complexity and minimize the computational effort. Finally, we present some numerical tests to show the theoretical results.
On rationally controlled one-rule insertion systems
Authors: Latteux Michel , Roos Yves
Published: October 2022

Rationally controlled one-rule insertion systems are one-rule string rewriting systems for which the rule, that is to insert a given word, may be applied in a word only behind a prefix that must belong to a given rational language called the control language. As for general string rewriting systems, these controlled insertion systems induce a transformation over languages: from a starting word, one can associate all its descendants. In this paper, we investigate the behavior of these systems in terms of preserving the classes of languages: finite, rational and context-free languages. We show that, even for very simple such systems, the images of finite or rational languages need not be context-free. In the case when the control language is in the form u* for some word u, we characterize one-rule insertion systems that induce a rational transduction and we prove that for these systems, the image of any context-free language is always context-free.
Research on the Influence of Modern Information Technology on Ideological and Political Education of College Students
Authors: Sun Jianhui , Zhang Zhaolin
Published: October 2022

With the application of information technology becoming more and more mature, ideological and political education is gradually upgrading to precision ideological and political education and wisdom ideological and political education. However, in the use of modern information technology, ideological and political education of college students, due to the lack of a correct and complete understanding of the new ideological and political education model, the quality of ideological and political education has been affected. Based on this, in the context of wisdom education, in order to better carry out the ideological and political education activities of university students, it is necessary to correctly analyze the complex impact of modern information technology on the ideological and Political Education of university students, promoting the innovation of ideological and political education for college students. Through the modern information technology on the ideological and political education of college students to a comprehensive interpretation of the impact of relevant recommendations.
Construction of Enterprise Business Management Data Processing System Based on Computer Information Management Model
Authors: Wang Zhenzhen
Published: October 2022

The reasonable construction and application of business management data processing system not only improve the efficiency of business management and operation, but also improve the level of business information, it also provides abundant and high-quality data resources for standardizing the practice of enterprise management. Therefore, in the "Internet +" mature development environment, we should adhere to the computer information management model as the basis to actively explore the enterprise business management data processing system construction strategy. Based on the analysis of the construction background of business management data processing system, the construction strategy of Business Management Data Processing System under the computer information management model is put forward.
Research on the Integration Path of Enterprise Management and Digital Economy Based on Big Data Analysis
Authors: Xu Qian , Huang Debo
Published: October 2022

Relying on big data analysis technology, not only can accurately and objectively collect business data information, but also help to promote the enterprise management information, intelligent construction. With the development of the current digital economy, the organic integration of business management and digital economy not only effectively improves the efficiency of business management, but also helps enterprises to bring into play the advantages of smart technology, in the face of their own business, development of the actual problems, to improve the overall level of management. Based on the technology of big data analysis, this paper systematically discusses the integration path of enterprise management and digital economy.
Application of Automatic Analysis of Image Data Based on KD-Tree in Ray Tracing Technology
Authors: Zhao Weiming
Published: October 2022

In the field of computer graphics, ray tracing technology is widely used to generate high-quality "photo-level" images. The automatic analysis of KD-Tree image data is the data structure of dividing K-dimensional database space, and it has important application in the fast search of multi-dimensional space feature vector. Based on the automatic analysis of KD-Tree image data, the reasonable and effective application in ray tracing technology can make the verisimilitude of graphics reach the leap-type change, and realize the ideal application effect.
The Reform Strategy of College Chinese Teaching Mode in the Big Data Era
Authors: Gao Yan
Published: October 2022

In the new educational environment, the basic and instrumental functional advantages of college Chinese are gradually prominent. Doing Chinese teaching well not only helps to enrich students' Chinese knowledge reserve, but also to improve students' Chinese learning cognition and cultivate students' Chinese accomplishment. In the environment of big data era, we should face up to the realistic problems existing in the current Chinese teaching, through optimizing the teaching mode, rearranging the teaching lines, reconstructing the college Chinese teaching mode based on the big data platform, improving the quality of Chinese teaching. Based on the background of big data era and the practical problems in college Chinese teaching, this paper puts forward some concrete reform strategies.
The construction of University Chinese as a foreign language multimedia material and network resource base based on Big Data Analysis
Authors: Liu Hui
Published: October 2022

There are many problems in TCFL, such as relatively simple teaching resources, chaotic teaching system and so on, facing learners from different countries and regions, cultural background and needs all over the world, directly affects the quality of college Chinese as a foreign language. With the development and application of Internet technology, online intelligent teaching has triggered profound changes in educational system. As an important supplement to education, web-based resource banks are of great practical significance to the current innovation and optimization of Chinese as a foreign language systems. Therefore, in the current innovation of University Chinese as a foreign language, we should build a large-scale and knowledge-based network resource base based on Big Data Analysis to help university teaching.
Study on the development of rural poverty alleviation eco-tourism model based on internet technology
Authors: Ni Ma
Published: October 2022

The Computer Internet technology has the advantages of strong gathering ability, wide coverage and so on. By giving full play to the advantages of computer technology, the relatively dispersed rural tourism resources can be effectively gathered together, to promote the vitality and value space of rural tourism in an all-round way, and to provide a new and reasonable way to solve the problem of poverty. This paper analyzes the rural poverty-alleviation eco-tourism model based on Internet technology from the perspectives of value and platform positioning, and discusses its development path in detail.
Research on the innovation of college students' employment guidance work from the perspective of “Internet +”
Authors: Hu Huixiong
Published: October 2022

Employment is the key content of cultivating college students, and it is also an important way to realize the value of students. In the traditional work of employment guidance for college students, the lack of organic integration between students' training and the environment of the times directly leads to some practical problems, such as the mismatch between students' comprehensive skills and social needs, and between students' job-seeking needs and employment situation. Facing the new"Internet +" environment, in order to continuously improve the employment situation of college students, we should give full play to the application advantages of intelligent media, constantly adjust and optimize the thinking of employment guidance, we will continue to innovate the system of employment guidance. Based on the"Internet +" environment, this paper makes an innovative research on the employment guidance for college students.
Preface: 21st Conference on Power System Engineering
Authors: Pelikan Martin , Volf Michal , Vackova Michaela
Published: October 2022

The Conference on Power System Engineering has a long-term tradition. It is an annual meeting of professors and experts from departments and universities where power system engineering is taught. The 21st year of this event was held in Pilsen (Czech Republic) between 7th and 9th September 2022 and was hosted by Department of Power System Engineering of Faculty of Mechanical Engineering, University of West Bohemia in Pilsen.
Optimization of pressure drop in curved conduits using Ansys DesignXplorer
Authors: Palkovič Aleš , Pečený Petr , Teichman Jiří
Published: October 2022

This paper describes the effects of guide vanes installed in curved conduits with the main emphasis on pressure loss reduction. In curved parts of conduits, eddy zones are created due to the flow separation resulting in an increased value of pressure drop. Installation of guide vanes can prevent the creation of large eddy zones. On the other hand, the cross-section of the conduit is decreased by placing the vanes, leading to the growth of the pressure drop. That is why the properties of guide vanes needed to be selected carefully. The goal of this paper is to describe the process of finding the optimal number of vanes in order to obtain the lowest value of pressure drop in the curved conduit. This is achieved by a parametric case study in Ansys DesignXplorer combined with CFD simulations in Ansys Fluent. The case study parameters are the number and thickness of vanes, dimensions of the conduit, and the inlet velocity. Our results are compared with recommendations on the optimal number of vanes from Idelchik [1].
Study of phenolic composition of olive fruits: validation of a simple and fast HPLC-UV method
Authors: Tekaya Meriem , Chehab Hechmi , Guesmi Ahlem , Algethami Faisal K. , Ben Hamadi Naoufel , Hammami Mohamed , Mechri Beligh
Published: October 2022

A high-performance liquid chromatography (HPLC) method endowed with a gradient elution and a UV detection system was established and validated for the determination of phenolic acids, phenolic alcohols, hydroxycinnamic acid derivatives, flavonoids, secoiridoids and lignans during olive (Olea europaea L.) fruit development (green, purple and black olives). Within the test range, the calibration curves exposed a good linear regression (R
2>0.9995). Detection limits ranged between 0.63 and 13.43 mg/L for the detected phenolic compounds. The presented method yielded satisfactory repeatability in terms of retention times and average concentrations of phenolic compounds (RSD < 0.3%). Verbascoside was established as the major phenolic compound in black olives. Oleuropein was established as the dominating phenolic compound in green olives, and its level decreased during maturation. Additionally, this research is the first to experimentally evidence that the flavone luteolin-7-rutinoside is the predominant flavonoid glucoside in black olives, showing the most significant variation with fruit development. The above results validate the method for an easy and fast determination of different classes of phenolic compounds present in olive fruits.
The role of teacher patience in the implementation of assessment for learning (AfL): Vignettes from a writing classroom
Authors: Zhang Xiaodong
Published: October 2022

This article discusses a qualitative case study on the role of teacher patience in teachers’ implementation of assessment for learning (AfL). The study was conducted in a Chinese university English writing classroom. Data were collected throughout the semester and included the teacher’s reflections and assessment practices, the reflections and interview excerpts of 18 students, and field notes. The study found that teacher patience emerged at times when students failed to meet the teacher’s expectations, and actively conditioned and fortified the teacher’s implementation of AfL. However, in interacting with contextual variables inside and outside the classroom, teacher patience also demonstrated its dynamic features, waning and then recovering, with its mitigated power passively sustaining the teacher’s AfL. This study affirms the importance and acknowledges the complex fluctuation of teacher patience in sustaining AfL. Therefore, it is suggested that training in patience be made a part of teacher education programs so that student teachers could develop the patience needed to grapple with the complexity of teaching during assessment practices and in other teaching settings.
Über Cyber
Authors: Sievers Christian
Published: October 2022

A performative art installation in public space. Consisting only of barrier tape and the recording of the German military's “cyber march”, it invites the audience and passers-by to engage with it and fall into the trap of underestimating the amount to which it exerts force on participants.
Replica symmetry breaking for the integrable two-site Sachdev–Ye–Kitaev model
Authors: Jia Yiyang , Rosa Dario , Verbaarschot Jacobus J. M.
Published: October 2022

We analyze a two-body non-Hermitian two-site Sachdev–Ye–Kitaev (SYK) model with the couplings of one site complex conjugated to the other site. This model, with no explicit coupling between the sites, shows an infinite number of second-order phase transitions, which is a consequence of the factorization of the partition function into a product over Matsubara frequencies. We calculate the quenched free energy in two different ways: first in terms of the single-particle energies and second by solving the Schwinger–Dyson equations of the two-site model. The first calculation can be done entirely in terms of a one-site model. The conjugate replica enters due to non-analyticities when Matsubara frequencies enter the spectral support of the coupling matrix. The second calculation is based on the replica trick of the two-site partition function. Both methods give the same result. The free-fermion partition function can also be rephrased as a matrix model for the coupling matrix. Up to minor details, this model is the random matrix model that describes the chiral phase transition of QCD, and the order parameter of the two-body model corresponds to the chiral condensate of QCD. Comparing to the corresponding four-body model, we are able to determine which features of the free energy are due to the chaotic nature of the four-body model. The high-temperature phase of both models is entropy dominated, and in both cases, the free energy is determined by the spectral density. The chaotic four-body SYK model has a low-temperature phase whose free energy is almost temperature-independent, signaling an effective gap of the theory even though the actual spectrum does not exhibit a gap. On the other hand, the low-temperature free energy of the two-body SYK model is not flat; in fact, it oscillates to arbitrarily low temperature. This indicates a less desirable feature that the entropy of the two-body model is not always positive in the low-temperature phase, which most likely is a consequence of the non-hermiticity.
Sub-grid modeling of pitch-angle diffusion for ion-scale waves in hybrid-Vlasov simulations with Cartesian velocity space
Authors: Dubart M. , Battarbee M. , Ganse U. , Osmane A. , Spanier F. , Suni J. , Johlander A. , Alho M. , Bussov M. , Cozzani G. , George H. , Grandin M. , Horaites K. , Papadakis K. , Pfau-Kempf Y. , Tarvus V. , Turc L. , Zaitsev I. , Zhou H. , Palmroth M.
Published: October 2022

Numerical simulations have grown to play a central role in modern sciences over the years. The ever-improving technology of supercomputers has made large and precise models available. However, this accuracy is often limited by the cost of computational resources. Lowering the simulation's spatial resolution in order to conserve resources can lead to key processes being unresolved. We have shown in a previous study how insufficient spatial resolution of the proton cyclotron instability leads to a misrepresentation of ion dynamics in hybrid-Vlasov simulations. This leads to larger than expected temperature anisotropy and loss-cone shaped velocity distribution functions. In this study, we present a sub-grid numerical model to introduce pitch-angle diffusion in a 3D Cartesian velocity space, at a spatial resolution where the relevant wave–particle interactions were previously not correctly resolved. We show that the method is successfully able to isotropize loss-cone shaped velocity distribution functions, and that this method could be applied to simulations in order to save computational resources and still correctly model wave–particle interactions.
Relativistic gas: Lorentz-invariant distribution for the velocities
Authors: M. F. Curado Evaldo , Cedeño Carlos E. , Damião Soares Ivano , Tsallis Constantino
Published: October 2022

In 1911, Jüttner proposed the generalization, for a relativistic gas, of the Maxwell–Boltzmann distribution of velocities. Here, we want to discuss, among others, the Jüttner probability density function (PDF). Both the velocity space and, consequently, the momentum space are not flat in special relativity. The velocity space corresponds to the Lobachevsky one, which has a negative curvature. This curvature induces a specific power for the Lorentz factor in the PDF, affecting the Jüttner normalization constant in one, two, and three dimensions. Furthermore, Jüttner distribution, written in terms of a more convenient variable, the rapidity, presents a curvature change at the origin at sufficiently high energy, which does not agree with our computational dynamics simulations of a relativistic gas. However, in one dimension, the rapidity satisfies a simple additivity law. This allows us to obtain, through the central limit theorem, a new, Lorentz-invariant, PDF whose curvature at the origin does not change for any energy value and which agrees with our computational dynamics simulations data. Also, we perform extensive first-principle simulations of a one-dimensional relativistic gas constituted by light and heavy particles.
Directional extremal statistics for Ginibre eigenvalues
Authors: Cipolloni Giorgio , Erdős László , Schröder Dominik , Xu Yuanyuan
Published: October 2022

We consider the eigenvalues of a large dimensional real or complex Ginibre matrix in the region of the complex plane where their real parts reach their maximum value. This maximum follows the Gumbel distribution and that these extreme eigenvalues form a Poisson point process as the dimension asymptotically tends to infinity. In the complex case, these facts have already been established by Bender [Probab. Theory Relat. Fields 147, 241 (2010)] and in the real case by Akemann and Phillips [J. Stat. Phys. 155, 421 (2014)] even for the more general elliptic ensemble with a sophisticated saddle point analysis. The purpose of this article is to give a very short direct proof in the Ginibre case with an effective error term. Moreover, our estimates on the correlation kernel in this regime serve as a key input for accurately locating maxRSpec(X) for any large matrix X with i.i.d. entries in the companion paper [G. Cipolloni et al., arXiv:2206.04448 (2022)].
Realization of tunable plasma Lieb lattice in dielectric barrier discharges
Authors: Fan Weili , Jia Mengmeng , Zhu Pengliang , Liu Chengyu , Hou Xiaohan , Zhang Jianfei , He Yafeng , Liu Fucheng
Published: October 2022

Lieb lattice has been proven to host various extraordinary properties due to its unique Dirac-flat band structure. However, the realization of tunable Lieb lattices with controllable configurations still remains a significant challenge. We demonstrate the first realization of a robust and tailorable plasma Lieb lattice in dielectric barrier discharges by the use of uniquely designed mesh-water electrodes. Fast reconfiguration between square lattice, Lieb lattice, and various Lieb superlattices has been achieved in a wide range of discharge parameters even in ambient air. Active control of the symmetry, size, and fine structures of plasma elements in Lieb lattices is realized. Three distinct discharge stages in plasma Lieb lattice are proposed on the basis of fast camera diagnostics. The Dirac-flat band structure of the plasma Lieb lattice is demonstrated. Experimental verification of the photonic bandgap for the Lieb lattice is provided. Moreover, the Gierer–Meinhardt reaction diffusion model with spatial modulations is established to simulate the formation of different Lieb lattices. Experimental observations and numerical simulations are in good agreement. The results provide an important step forward in the ongoing effort to realize tunable Lieb lattices, which may find promising applications in the manipulation of microwaves.
Reciprocal polariton-induced transparency in alpha-molybdenum trioxide-graphene heteronanostructures
Authors: Xia Weixiang , Zheng Gaige
Published: October 2022

An ultrathin heterogeneous nanostructure consisting of periodic orthorhombic-phase molybdenum trioxide (α-MoO3), graphene nanoribbons, and a dielectric spacer layer has been proposed. Coupling between a hyperbolic phonon polariton from α-MoO3 and a surface plasmon polariton from graphene leads to the presence of reciprocal polariton-induced transparency (RPoIT). The near-field coupling is further evaluated by combining the current distribution values of the multipole decomposition. The RPoIT can be controlled by changing the structural parameters and tuning the chemical potential of graphene. Effects of the incidence angle and polarization angle have been investigated thoroughly from the finite-difference time-domain calculations. The potential applications in the refractive index sensor and mid-infrared (MIR) absorbers have also been investigated. This research provides a clear understanding and practical guidance for the realization of tunable RPoIT, which is desirable from the development of nano-devices and multifunctional hybrid polarization devices in the MIR region.
Imbibition dynamics and steady flows in graphene nanochannels with sparse geometric and chemical defects
Authors: Cheng Yi-Ting , Chang Hsin-Yu , Tsao Heng-Kwong , Sheng Yu-Jane
Published: October 2022

Geometric and chemical defects are frequently found or created on smooth graphene for applications of nanofluidics. In this work, imbibition dynamics and steady flows of water in graphene nanochannels with sparse defects are explored by molecular dynamics. The water contact angle is raised slightly by geometric defects (hole and protrusion) but lowered significantly by chemical defects (hydroxyl and epoxide groups). In steady flows, the mean velocity and slip length are always reduced by sparse defects and the effect of chemical defects is more significant than that of geometric defects. Moreover, it is interesting to find that the velocity profile is plug-like for geometric defects but becomes parabolic for chemical defects, regardless of the slip length. Sparse defects on graphene nanoslits also affect the imbibition dynamics remarkably, which generally follows Washburn's equation with the slip length. For chemical defects, surface friction (slip length) dominates over the driving force associated with surface wettability (contact angle). Nonetheless, for protrusion defects, the stick-slip behavior caused by contact line pinning and thermal fluctuations can be observed. Our new and novel findings indicate that the defect nature is crucial in nanoscale flows and imbibition processes, which the conventional hydrodynamic theory fails to depict.
Potential dependence of OER/EOP performance on heteroatom-doped carbon materials by grand canonical density functional theory
Authors: Feng Ge , Li Wenwen , Liu Jia , Zhong Xing , Yao Zihao , Deng Shengwei , Zhang Wenan , Wang Shibin , Wang Jianguo
Published: October 2022

Revealing the effect of external applied potential on the reaction mechanism and product selectivity is of great significance in electrochemical studies. In this work, the grand canonical density functional theory method was applied to simulate the explicit electrocatalytic process of oxygen evolution reaction and electrochemical ozone production due to the O3 product sensitivity toward the applied potential. Over the Pt/Pd single atom embedded on B/N co-doped graphene (Pt/Pd-BNC) surface, crossover points of O2/O3 selectivity inversion were predicted to be 1.33 and 0.89 V vs standard hydrogen electrode, which were also consistent with the previous experimental results. An in-depth analysis of the energetic terms in the reaction free energies also found the considerable impact of the applied potential on the Helmholtz free energy term, with optimal potential predicted for the key elementary steps, and linear correlations between electrode potential (U) and reaction free energy were found for each elementary step. This study offers extensive knowledge on the potential effect on the O2/O3 selective formation on two-dimensional anode surfaces and provides new insights for investigating the reactivity/selectivity on electrode surfaces in real reaction conditions.
Statistical properties of extreme soliton collisions
Authors: Slunyaev A. V. , Tarasova T. V.
Published: October 2022

Synchronous collisions between a large number of solitons are considered in the context of a statistical description. It is shown that, during the interaction of solitons of the same signs, the wave field is effectively smoothed out. When the number of solitons increases and the sequence of their amplitudes decay slower, the focused wave becomes even smoother and the statistical moments get frozen for a long time. This quasi-stationary state is characterized by greatly reduced statistical moments and by the density of solitons close to some critical value. This state may be treated as the small-dispersion limit, what makes it possible to analytically estimate all high-order statistical moments. While the focus of the study is made on the Korteweg–de Vries equation and its modified version, a much broader applicability of the results to equations that support soliton-type solutions is discussed.