bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Sulfur Concentration on Olivine Sulfidation under Lithospheric Mantle PT-parameters
Authors: Bataleva Y. V. , Furman O. V. , Zdrokov E. V. , Borzdov Y. M. , Palyanov Y. N.
Published: May 2023

Experimental studies aimed at the modeling of interaction processes of sulfur-bearing metasomatic agents with mantle silicates and assessing the effect of sulfur concentration on olivine sulfidation were carried out in the Fe,Ni-olivine—sulfur system using the high-pressure multi-anvil apparatus BARS (1050 and 1450°C, 6.3 GPa, 40–60 h, sulfur concentrations (Xs) 0.1, 2, and 6 mol %). It has been established that as a result of the recrystallization of Fe,Ni-olivine in a sulfur melt, Fe and Ni are extracted from olivine into this melt, and formation of Fe,Ni-sulfides (or sulfide melts) and low-iron, low-nickel silicates takes place. The key indicator characteristics of the olivine sulfidation process are determined depending on the temperature and sulfur concentration, including characteristic phase assemblages, regularities in the evolution of the chemical compositions of mineral and melt phases, and structural features of olivine crystals. It has been experimentally established that reducing sulfur-bearing metasomatic agents, even in minimal concentrations and at relatively low temperatures, are capable of dissolving and transporting mantle silicates and sulfides, and can play an important role in sulfide ore formation in the mantle.
Geophysical Effects of the Active Stage of the Stromboli Volcano Eruption on October 9, 2022
Authors: Spivak A. A. , Loktev D. N. , Rybnov Yu. S. , Riabova S. A. , Tikhonova A. V.
Published: May 2023

The response of the microbaric background and variations in the Earth’s magnetic and electric fields to the paroxysmal activity of the Stromboli Volcano (October 9, 2022, Italy) was analyzed using the results of instrumental observations carried out in the surface atmosphere. The stage of active volcanic eruption was accompanied by the generation of an acoustic signal and pronounced variations in the geomagnetic and atmospheric electric fields at considerable distances both during the period of volcano activity and with the arrival of the infrasonic wave at the observation point. The volcanic eruption was noted to cause a response as critical frequency variations of the F2 layer in the ionosphere.
Regional Effects of Global Climate Changes in the Ural River Basin
Authors: Sivokhip Zh. T. , Pavleichik V. M. , Chibilyov A. A.
Published: May 2023

The study data obtained on regional climate changes (surface layer temperature and atmospheric precipitation) in the Ural River basin are reported for a 70-year period (1950–2020). Variations in the basic parameters of the regional climate in the basin studied were obtained by standard statistical data analysis, as well as by calculation of the integral climate anomaly indices. Statistically significant linear trend coefficients illustrate a steady increase in the average annual air temperature in the Ural River basin. The largest contribution to the growth of this parameter is made in the first three months of the calendar year (January–March) and the autumn months (October–November). The long-term course of precipitation values is devoid of unidirectional and statistically significant trends. The important macroregional trend is an increase in precipitation during the cold period. In conclusion, it should be noted that the diverse physical and geographical conditions of the regional climate are indicative of a spatially nonuniform response to the global and macroregional changes.
Copper Isotope Composition of Pt–Fe Minerals from the Nizhny Tagil Massif, Middle Urals: First Results
Authors: Malitch K. N. , Soloshenko N. G. , Votyakov S. L. , Badanina I. Yu. , Okuneva T. G. , Sidoruk A. R.
Published: May 2023

In order to provide further insights into the origin of Pt–Fe minerals, this study presents the first copper isotope data for Pt–Fe minerals from the Nizhny Tagil massif, an international standard of the zoned Ural-type complexes. The chemical and isotopic composition of Pt–Fe minerals were determined by electron microprobe analysis, chemical sample preparation with selective chromatographic separation of copper from a solution of the studied sample, followed by high-precision determination of the δ65Cu value using multiple-collector inductively coupled plasma mass-spectrometry. The majority of platinum group minerals (PGM) from chromitites of the Alexandrovsk Log and Krutoy Log deposits within the Nizhny Tagil massif are formed by Pt–Fe minerals, among which high-temperature ferroan platinum (Pt2Fe) containing subordinate inclusions of Os–Ir alloys and laurite (RuS2) predominate over other PGM. The concentrations of copper and δ65Cu values in the studied samples of ferroan platinum vary from 0.4 to 1.4 wt % Cu and from –0.37 to 0.26‰, respectively. Secondary low-temperature PGM assemblage is represented by the tetraferroplatinum (PtFe)—tulameenite (PtFe0.5Cu0.5) solid solutions series. The concentrations of copper in these PGM vary in the range of 6.8–11.3 wt %; the values of δ65Cu are characterized by lighter Cu-isotopic compositions ranging from –1.15 to –0.72‰. The lighter Cu-isotopic composition in secondary Cu-bearing PGM compared to that in ferroan platinum (δ65Cu = –1.01 ± 0.17‰, n = 8 and δ65Cu = 0.03 ± 0.23‰, n = 7, respectively) is consistent with a secondary nature of isotopic variations, due to evolved composition of the ore-forming fluid during the low-temperature formation of the tetraferroplatinum—tulameenite solid solution series.
Ensemble Modeling of Ice Sheet Dynamics in the Last Glacial Cycle
Authors: Ploskov A. N. , Eliseev A. V. , Mokhov I. I.
Published: May 2023

Ensemble simulations (taking into account to the uncertainty of paleoclimate reconstructions) with a model of ice sheet dynamics for the last glacial cycle (128 kyr) are carried out. In general, the model realistically reproduces the spatial structure of the ice sheets and the heights of their domes in the Northern Hemisphere, as well as the associated changes in the ocean level. Perturbations with a sufficiently large amplitude of paleoclimate data in the model show significant differences in the results of modeling the ice sheets of the Northern Hemisphere from the data obtained for the initial paleoreconstruction, including for the Last Glacial Maximum and the time interval of 58‒51 ka (the initial part of MIS3). According to the simulation results, the uncertainty of global reconstructions for the Last Glacial Maximum is 2°С, which is consistent with the existing estimates.
Re-sensitization to pembrolizumab following PSMA-CD3 T-cell redirection therapy with JNJ-081 in a patient with mismatch repair-deficient metastatic castration-resistant prostate cancer: a case report
Authors: Reed-Perino Darien E , Lai Michael , Yu Evan Y , Schweizer Michael T
Published: May 2023

While checkpoint inhibitor therapy has revolutionized the treatment landscape of some solid tumors, it has shown limited efficacy in metastatic castration-resistant prostate cancers (mCRPC). A small (~3–5%) but clinically distinct subset of mCRPC tumors have a DNA mismatch repair deficiency (dMMR) and develop a hypermutation phenotype with elevated tumor mutational burden and high microsatellite instability (MSI-H). Retrospective analyses have shown dMMR/MSI-H status to be a predictive biomarker for response to pembrolizumab in prostate tumors. Here, in this report, we present a case of a patient with mCRPC harboring a somatic dMMR who had progressed on pembrolizumab after an initial response. He enrolled on a clinical trial with JNJ-081, a prostate-specific membrane antigen-CD3 bispecific T-cell engager antibody and experienced a partial response with course complicated by cytokine release syndrome. On progression, he was reinitiated on pembrolizumab and experienced an exceptional second response, with his prostate-specific antigen falling from a high of 20.01 to undetectable after 6 weeks and remaining undetectable for >11 months. To our knowledge, this represents the first reported case of bispecific T-cell engager-mediated re-sensitization to checkpoint inhibitor therapy in any cancer.
Ancilla-driven blind quantum computation for clients with different quantum capabilities
Authors: Dai Qunfeng , Quan Junyu , Lou Xiaoping , Li Qin
Published: May 2023

Blind quantum computation (BQC) allows a client with limited quantum power to delegate his quantum computational task to a powerful server and still keep his input, output, and algorithm private. There are mainly two kinds of models about BQC, namely circuit-based and measurement-based models. In addition, a hybrid model called ancilla-driven universal blind quantum computation (ADBQC) was proposed by combining the properties of both circuit-based and measurement-based models, where all unitary operations on the register qubits can be realized with the aid of single ancilla coupled to the register qubits. However, in the ADBQC model, the quantum capability of the client is strictly limited to preparing single qubits. If a client can only perform single-qubit measurements or a few simple quantum gates, he will not be able to perform ADBQC. This paper solves the problem and extends the existing model by proposing two types of ADBQC protocols for clients with different quantum capabilities, such as performing single-qubit measurements or single-qubit gates. Furthermore, in the two proposed ADBQC protocols, clients can detect whether servers are honest or not with a high probability by using corresponding verifiable techniques.
Inter-group payoff transfer driven by collective reputation promotes cooperation in public goods game
Authors: Wang Jianwei , Dai Wenhui , Zhang Xinyi , He Jialu , Yu Fengyuan , Wu Yihui
Published: May 2023

How to effectively maintain costly intra-group cooperation has always been a topic of great concern in society. As we all know, inter-group competition is a constructive way to promote intra-group cooperation. Previous inter-group competition mechanisms are primarily based on the total contribution value of all individuals in the group in the current round, which ignore the historical behavior of the group and its members. For comparison, we argue that the introduction of collective reputation which reflects not only the total contribution of the groups in the current round but also the group’s historical behavior is necessary for the construction of an inter-group competition model. Furthermore, an excellent collective reputation can help the group obtain more high-quality resources and help the group stand out from the competition. To this end, we introduce a new mechanism of inter-group transfer payment driven by collective reputation and construct a public goods game (PGG) model of inter-group competition to study the dynamic behavior of intra-group cooperation evolution. Two parameters, the proportion of accepted groups [Formula: see text] and the proportion of transferred groups [Formula: see text] are introduced. The simulation results suggest that the effectiveness of this model in promoting cooperation depends largely on the joint settings of [Formula: see text] and [Formula: see text]. And in most cases, the combination of small [Formula: see text] and medium [Formula: see text] plays the significant role.
W boson mass in singlet-triplet scotogenic dark matter model
Authors: Batra Aditya , ShivaSankar K. A. , Mandal Sanjoy , Srivastava Rahul
Published: May 2023

The recent high precision measurement of [Formula: see text] boson mass by CDF-II collaboration points to the contribution(s) of new physics beyond the Standard Model (SM). One of the minimalistic ways to account for the anomalous [Formula: see text] boson mass is by introducing a hyperchargeless real [Formula: see text] triplet scalar whose vacuum expectation value (VEV) explicitly contributes to the [Formula: see text] boson mass at the tree level while the [Formula: see text] boson mass remains the same. Such a triplet can be naturally embedded in a singlet-triplet scotogenic model for one-loop neutrino mass generated by dark sector particles running in the loop. We discuss the detailed phenomenology of the model, obtaining the parameter space consistent with the CDF-II [Formula: see text] boson mass measurements. The dark matter as well as the constraints comings from [Formula: see text], [Formula: see text], [Formula: see text] parameters are also analyzed.
Higher-dimensional black holes in massive gravity charged with a conformal-invariant field
Authors: Dehghani M.
Published: May 2023

Making use of a model of nonlinear electrodynamics (NED), whose action remains invariant under conformal transformations, a new class of charged higher-dimensional black holes (BHs) has been introduced in the massive gravity theory. Our exact solutions, with A(dS) asymptotic behavior, in addition to the BHs with one, two and three horizons, show the extreme and horizon-less ones. The conserved and thermodynamic quantities have been calculated in the presence of massive gravitons and NED. By use of a Smarr mass formula, it has been found that the standard form of the first law of BH thermodynamics (FLT) remains valid for our new massive BHs. Thermal stability of the BHs has been studied comparatively, by use of the geometrical and thermodynamical methods. The size of those BHs which undergo first- or second-order phase transition, as well as those of which are locally stable has been determined. The results of geometrical and thermodynamical approaches have been compared, for bout of dS and AdS cases, by use of the plots. It has been shown that both of the aforementioned methods produce the same results provided that HPEM or Quevedo type-two (QII) metrics are used. Critical behavior of the BHs has been studied by taking thermodynamic pressure proportional to the cosmological constant. It has been found that in addition to the Van der Waals (VdW) like phase transition, the so-called reentrant phase transition (RPT) can occur as well.
Accretion in an asymptotically safe environment inspired by minimum measurable length
Authors: Rahaman Anisur
Published: May 2023

We investigate the impact of the incorporation of minimum measurable length on accretion onto Schwarzschild black hole within the asymptotically safe ambiance. The Schwarzschild black hole is modified by the minimum measurable length associated with the generalized uncertainty principle (GUP), enabling it to accept the quantum gravity correction. We look at potential critical point locations and calculate the critical speed of the matter accreting. We determine the temperature and total integrated flux correction at the event horizon for the polytropic matter using the least measurable length conjecture offered by the GUP. We note that the incorporation of minimum measurable length has a significant impact on the accretion process. Furthermore, the quantum gravity regime associated with modification maintains an asymptotically safe ambiance.
Grid Connected Photovoltaic System with Modified Quasi Z-Source Based Cascaded Multilevel Inverter (MQZS-CMLI) Using RENCO Approach
Authors: Sabarish P. , Kumar M. Senthil
Published: May 2023

This paper introduces a Multi-Level Cascade Inverter (MLI) based on Enhanced Quasi-Z Source Inverter (MQZSI) to connect photovoltaic (PV) systems based on the proposed method. Usually the interface among PV power supply and load is completed with MQZS-CMLI. In this paper, the proposed control scheme is comprehensive implementation of Recalling Enhanced Recurrent Neural Network (RERNN) and Quasi-Opposite Chemical Reaction Optimization (QOCRO) named as RENCO. The main objective of proposed method is to decide the efficiency of the PV system by the maximal power extraction. Here, MQZS-CMLI’s modeling design contains suitable number of components, other than their capacitors and semiconductors comply with low-voltage stress. It is improved for providing that maximum power of the PV power generation system. At first, the goal function is described according to the parameters and limitations of controller (like voltage, current, power, modulation index, so on). These parameters apply to recommend RENCO technology input. The proposed RENCO technology improves voltage distribution, power transmission, and minimizes power fluctuations while sharing power with load. The proposed MPPT-based technology ensures that the maximum power is provided to load. The proposed method adjust the duty cycle of MQZS-CMLI and reduces the modulation load. Finally, the proposed technology is executed on the MATLAB/Simulink platform, and its output efficiency is compared to existing systems under dissimilar load circumstances.
An Efficient Control Strategy for an Extended Switched Coupled Inductor Quasi-Z-Source Inverter for 3Φ Grid Connected System
Authors: Meenalochini P. , Karthick R. , Sakthivel E.
Published: May 2023

An effective hybrid control technique for an extended switched coupled inductor quasi-Z source inverter for 3[Formula: see text] grid-connected photovoltaic (PV) system is proposed in this paper. The proposed hybrid system is a joint implementation of Recalling Enhanced Recurrent Neural Network (RERNN) with Chaotic Henry Gas Solubility Optimization (CHGSO); hence it is named as hybrid RERNN-CHGSO. The main objective of this work is to maximize power extraction to manage the performance of the PV system. The ESCL-quasi-Z-Source inverter modelling is improved to extract maximal power as PV power generation system. The objective function mainly depends on parameters as voltage, current, power, and total harmonic distortion (THD). These parameters are taken into account as input to the proposed hybrid system. When power is shared with the grid, the suggested RERNN-CHGSO system maximizes voltage profile, power delivery, and minimizes THD. Furthermore, the proposed control system minimizes injected power, which generates DC link voltage, current, and frequency conditions. The proposed system is executed on a MATLAB/Simulink platform, and its performance is compared to the existing systems under various conditions.
Innovative Platform for the Comprehensive Quality Evaluation of Postgraduate Students Based on Redactable Blockchain
Authors: Liu Yaqi , Su Yueli , Fu Huijuan
Published: May 2023

The use of modern information technology to develop new evaluation tools is critical to the reform of comprehensive student quality evaluation system and educational modernization. Applying blockchain technology to students’ quality evaluation can improve the efficiency and value of the work of comprehensive quality evaluation. This research proposes a redactable blockchain-based comprehensive quality evaluation platform named CEP for postgraduate students, based on the document of implementing comprehensive quality evaluation issued by Zhongnan University of Economics and Law. The platform uses smart contracts to automatically award credits in real time and divides four organizations into different private data collections to maintain the privacy and safety of data of postgraduates during the entire evaluation process. Moreover, to tackle the problem of inconsistent data generated by multi-level submission and review, an on-chain data modification scheme based on “temporary block” has been established. The assessment platform developed in this research protects the validity and confidentiality of evaluation data during the procedural evaluation. The research also aims at providing a better understanding of the dynamics of postgraduates’ learning development, improving the scientific, professional and objective standards of quality education.
Virtual multicrossings and petal diagrams for virtual knots and links
Authors: Adams Colin , Even-Zohar Chaim , Greenberg Jonah , Kaufman Reuben , Lee David , Li Darin , Ping Dustin , Sandstrom Theodore , Wang Xiwen
Published: May 2023

Multicrossings, which have previously been defined for classical knots and links, are extended to virtual knots and links. In particular, petal diagrams are shown to exist for all virtual knots.
Generalizing the relation between the Kauffman bracket and Jones polynomial
Authors: Kaiser Uwe
Published: May 2023

We generalize Kauffman’s famous formula defining the Jones polynomial of an oriented link in [Formula: see text]-space from his bracket and the writhe of an oriented diagram [L. Kauffman, State models and the Jones polynomial, Topology 26(3) (1987) 395–407]. Our generalization is an epimorphism between skein modules of tangles in compact connected oriented [Formula: see text]-manifolds with markings in the boundary. Besides the usual Jones polynomial of oriented tangles we will consider graded quotients of the bracket skein module and Przytycki’s [Formula: see text]-analog of the first homology group of a [Formula: see text]-manifold [J. Przytycki, A [Formula: see text]-analogue of the first homology group of a [Formula: see text]-manifold, in Contemporary Mathematics, Vol. 214 (American Mathematical Society, 1998), pp. 135–144]. In certain cases, e.g., for links in submanifolds of rational homology [Formula: see text]-spheres, we will be able to define an epimorphism from the Jones module onto the Kauffman bracket module. For the general case we define suitably graded quotients of the bracket module, which are graded by homology. The kernels define new skein modules measuring the difference between Jones and bracket skein modules. We also discuss gluing in this setting.
Combinatorial knot theory and the Jones polynomial
Authors: Kauffman Louis H.
Published: May 2023

This paper is an introduction to combinatorial knot theory via state summation models for the Jones polynomial and its generalizations. It is also a story about the developments that ensued in relation to the discovery of the Jones polynomial and a remembrance of Vaughan Jones and his mathematics.
Framed Thompson groups
Authors: Kontogeorgis Aristides , Lambropoulou Sofia
Published: May 2023

We introduce the notion of the framed Thompson group, which can be seen as a categorification of the ordinary Thompson group, and we show how framed links can be obtained from elements of the framed Thompson group.
A new framework for the Jones polynomial of fluid knots
Authors: Ricca Renzo L. , Liu Xin
Published: May 2023

Here we illustrate how Jones’ polynomials are derived from the kinetic helicity of vortical flows, and how they can be used to measure the topological complexity of fluid knots by numerical values. Relying on this new findings, we show how to use our adapted Jones polynomial in a new framework by introducing a knot polynomial space whose discrete points are the adapted Jones polynomials of fluid knots, interpreting the topological simplification associated with the natural decay of reconnecting fluid knots as geodesic flows on this space.
Linking in tree-manifolds
Authors: Wang Xueqi
Published: May 2023

Let [Formula: see text] be a tree with vertices [Formula: see text]-dimensional oriented vector bundles over [Formula: see text] and [Formula: see text] be the boundary of the oriented manifold obtained by plumbing according to [Formula: see text]. In this paper, we calculate linking numbers between the fiber spheres, provided [Formula: see text] is a rational homology sphere, and thereby provides a correction and completion of a work of tom Dieck.
A Multi-Criteria Decision Model Considering Labor and Safety for Inspection Intervals of Condition Monitoring
Authors: Park Minjae
Published: May 2023

We develop a multi-criteria decision model to help decision-makers choose the best inspection interval policy considering the combination of conflicting criteria like cost, downtime, and reliability. We investigate a multi-criteria decision model, which can simultaneously identify the best inspection intervals for monitoring the failures of system trails to be inspected and the best strategy for system maintenance. We can also consider the combined cost, downtime, and reliability criteria. We find the optimal inspection interval for the maximized reliability of the product, minimized cost, and minimized downtime. The multi-attribute utility theory and the properties of each utility function considering dependent or independent relationships between attributes are investigated. We conduct the analysis and help the decision-makers for the company to make appropriate decisions. The effect of various parameters on the optimal maintenance strategy is also investigated statistically. Finally, we discuss numerical examples with managerial insights to illustrate the suggested approach.
MARKOVIAN STOCHASTIC VOLATILITY WITH STOCHASTIC CORRELATION — JOINT CALIBRATION AND CONSISTENCY OF SPX/VIX SHORT-MATURITY SMILES
Authors: FORDE MARTIN , SMITH BENJAMIN
Published: May 2023

In this paper, we show how to calibrate a general Markovian stochastic volatility model with stochastic correlation to the VIX implied volatility smile and the overall level, slope and curvature of the SPX smile in the [Formula: see text] limit. Explicit formulae are obtained for the asymptotic VIX smile for Heston and SABR-type models with mean reversion, and the Lewis CEV-p-model. We also discuss how the Bass martingale can be used to give an exact fit to a single VIX smile for [Formula: see text]. In the second half of this paper, we derive a more involved integral equation for the correlation function [Formula: see text] to be perfectly consistent with the short-maturity SPX and VIX smiles at all strikes (or all strikes in an interval) as [Formula: see text], and discuss consistency conditions between the wings of the two asymptotic smiles and how to avoid [Formula: see text] for the calibrated [Formula: see text] in practice.
Analysis of Vehicle–Bridge Coupling System Under the Wind and Waves Combined Condition During Two Trains’ Meeting
Authors: Zhang Chengran , Zhu Bing , Lu Baojie , Yin Ruitao , Zhang Zhen
Published: May 2023

Based on the theories of computational fluid dynamics, aerodynamics, bridge dynamics and vehicle dynamics, a sea-crossing cable-stayed bridge with a main span of 532 m is taken as the research object in this study to explore the characteristics of dynamic response when two CRH3 high-speed trains pass each other under the context of wind–wave combination. Firstly, the CFD method is used to construct an aerodynamic calculation model of the vehicle–bridge system under the context of wind–wave combination. Also, the first wind tunnel and wave flume tests are conducted to verify the numerical results of aerodynamic coefficients. Then, the bridge dynamics model and vehicle dynamics model are established by using both the finite element method and the multi-body dynamics method. Finally, a three-dimension vehicle–bridge coupled model is constructed by using the multi-body dynamic software SIMPACK to explore the effects of average wind and regular waves. It is demonstrated that the dynamic characteristics of the vehicle–bridge coupling system under the condition of wind–wave combination are different than under the context of average wind alone. According to the research result, wave effect can affect or make a difference to the aerodynamic characteristics of the vehicle–bridge coupling system. In general, there is only a slight increase in the dynamic responses of bridge structure including mid-span displacement when compared with the condition of average wind alone, including mid-span displacement. Meanwhile, the wind and waves combined condition also has a negative effect on the dynamic responses and running safety of high-speed trains. Especially for the leeward vehicle, the dynamic responses of the leeward train change more abruptly than under the single static wind condition with the increase of running speed.
On the number of ℤp-double cyclic codes and quasi cyclic codes
Authors: Abualrub Taher , Aydogdu Ismail , Yildiz Eda , Khashyarmanesh Kazem
Published: May 2023

In this paper, we study the class of [Formula: see text]-double cyclic codes of length [Formula: see text] We give a closed formula for the number of [Formula: see text] -double cyclic codes of length [Formula: see text] for any integers [Formula: see text] and [Formula: see text] that are relatively prime to [Formula: see text] Moreover, we give a closed formula for the number of quasi-cyclic (QC) codes of length [Formula: see text] and index [Formula: see text] We also provide formulas for the number of separable and non-separable [Formula: see text]-double cyclic codes of length [Formula: see text] In order to illustrate the results, we calculate the number of some codes with different [Formula: see text] and [Formula: see text]. Moreover, we list optimal parameter [Formula: see text]-double cyclic codes for specific values of [Formula: see text] and [Formula: see text].
Dynamics of a spatially homogeneous Vicsek model for oriented particles on a plane
Authors: Kang Moon-Jin , Morales Javier
Published: May 2023

We consider a spatially homogeneous Kolmogorov–Vicsek model in two dimensions, which describes the alignment dynamics of self-driven stochastic particles that move on a plane at a constant speed, under space-homogeneity. In [A. Figalli, M.-J. Kang and J. Morales, Global well-posedness of spatially homogeneous Kolmogorov–Vicsek model as a gradient flow, Arch. Rational Mech. Anal. 227 (2018) 869–896] Alessio Figalli and the authors have shown the existence of global weak solutions for this two-dimensional model. However, no time-asymptotic behavior is obtained for the two-dimensional case, due to the failure of the celebrated Bakery and Emery condition for the logarithmic Sobolev inequality. We prove exponential convergence (with quantitative rate) of the weak solutions towards a Fisher-von Mises distribution, using a new condition for the logarithmic Sobolev inequality.
Determination of source or initial values for acoustic equations with a time-fractional attenuation
Authors: Huang Xinchi , Kian Yavar , Soccorsi Éric , Yamamoto Masahiro
Published: May 2023

In this paper, we consider the inverse problems of determining the initial states or the source term of a hyperbolic equation damped by some non-local time-fractional derivative. This framework is relevant to medical imaging such as thermoacoustic or photoacoustic tomography. We prove a stability estimate for each of these two problems, with the aid of a Carleman estimate specifically designed for the governing equation.
Non-Markovianity and entanglement detection
Authors: Chanduka Sourav , Bhattacharya Bihalan , Mundra Rounak , Bhattacharya Samyadeb , Chakrabarty Indranil
Published: May 2023

We have established a novel method to detect non-Markovian indivisible quantum channels using structural physical approximation. We have shown that this method can be used to detect eternal non-Markovian operations. We have further established that harnessing eternal non-Markovianity, we can device a protocol to detect quantum entanglement.
An efficient combination strategy for hybrid quantum ensemble classifier
Authors: Zhang Xiao-Ying , Wang Ming-Ming
Published: May 2023

Quantum machine learning has shown advantages in many ways compared to classical machine learning. In machine learning, a difficult problem is how to learn a model with high robustness and strong generalization ability from a limited feature space. Combining multiple models as base learners, ensemble learning (EL) can effectively improve the accuracy, generalization ability and robustness of the final model. The key to EL lies in two aspects, the performance of base learners and the choice of the combination strategy. Recently, quantum EL (QEL) has been studied. However, existing combination strategies in QEL are inadequate in considering the accuracy and variance among base learners. This paper presents a hybrid EL framework that combines quantum and classical advantages. More importantly, we propose an efficient combination strategy for improving the accuracy of classification in the framework. We verify the feasibility and efficiency of our framework and strategy by using the MNIST dataset. Simulation results show that the hybrid EL framework with our combination strategy not only has a higher accuracy and lower variance than the single model without the ensemble, but also has a better accuracy than the majority voting and the weighted voting strategies in most cases.
Optimization of the surface sites of CuPc/Ce-MOF for boosting photoelectrochemical ammonia production
Authors: Zhai Meiqi , Bai Yajie , Li Xia , Wang Fengfeng , Fan Wei-Qiang , Bai Hongye
Published: May 2023

Photoelectrochemical reduction of nitrate (PEC NRR) to ammonia (NH3) is a promising means with water as hydrogen source under room temperature. The construction of photoelectrode with efficient light response and reaction kinetics is the core point to achieve high NH3yield efficiency. Herein, a cerium-based metal organic framework (Ce-MOF) was successfully decorated on the copper phthalocyanine (CuPc). The CuPc/Ce-MOF heterostructure exhibits the ideal nitrate catalytic reduction activity, and the NH3yield (−0.6 V versus RHE) increases to 1.58 [Formula: see text]g [Formula: see text] [Formula: see text] from 0.67 [Formula: see text]g [Formula: see text] [Formula: see text](CuPc). Besides, the cycle experiments reveal that the CuPc/Ce-MOF heterostructure has maintained good catalytic stability. This work explores the PEC NRR process mechanism of CuPc/Ce-MOF samples and provides a new idea for green NH3production.
THE IMPACT OF EU TAXONOMY ON CORPORATE INVESTMENTS
Authors: LUCARELLI CATERINA , MAZZOLI CAMILLA , RANCAN MICHELA , SEVERINI SABRINA
Published: May 2023

The European Union Taxonomy on Sustainable Finance is the first comprehensive classification designed to identify the extent to which an economic activity is environmentally sustainable. This paper investigates how the EU Taxonomy affected corporate investments for Taxonomy-eligible companies compared to non-eligible ones. We applied a difference-in-difference model using a dataset of 130,918 firms from 27 EU Member States, using 2019 as a threshold. Our findings show that the introduction of the EU Taxonomy per se did not result in an increase in corporate investments among Taxonomy-eligible companies; rather, firms’ size and Taxonomy-eligibility uncertainty played a key role in explaining variation in corporate investments. The implications are twofold: the participatory and communication approach of the European Commission implemented with the EU Taxonomy is effective in nudging corporate investments aimed at sustainability. However, this only happens when the regulation provides an unambiguous sector specification. Thus, it is important that the regulatory interventions clearly define what is sustainable.
Reducing Leakage: Subsidies and Tariff Reform in Water and Sanitation Services in Metropolitan Lima, Peru
Authors: Gómez-Lobo Andrés , Serebrisky Tomás , Sosa Ben Solís , Cárdenas Helena , Martínez Mauro Orlando Gutiérrez , Antonio Sandro Alejandro Huamaní
Published: May 2023

Water utility companies around the globe are seeking to improve their financial sustainability and expand services in growing urban areas, while guaranteeing low-income families access to water. In Lima and Callao, the biggest metropolitan area in Peru, an important tariff reform for their water and sanitation services was implemented in 2017. The new policy differentiated tariffs between customers residing in poor and non-poor blocks, and revised the subsistence level (lifeline block) used in its tariff structure from 25 to 20[Formula: see text]m3. This study uses utility historical billing records of the population to evaluate three outcomes: (i) the effect on the subsidy amount received by poor and non-poor households at different consumption levels, (ii) the subsidy distributive incidence, and (iii) the effects on the utility’s financial situation. Results show that after the reform, the subsidy for the poor was 45% higher than that of non-poor households at 14[Formula: see text]m3, the mean consumption of subsidy-eligible households. Subsidy targeting changed from being regressive to progressive, with the poor receiving 22% more than they would have under a random subsidy scheme. In turn, by reducing subsidies to non-poor households, the utility’s monthly income from customer payments has increased by 7%.
Recurrent Implantation Failure Associated to Morular Endometrial Metaplasia, and Hysteroscopic Management
Authors: Reyftmann Lionel , Vermey Belinda , Knight Bryan
Published: May 2023

We report the first documented case of recurrent implantation failure (RIF) related to morular endometrial metaplasia. A 35-year-old woman with RIF was diagnosed with endometrial morular metaplasia and treated with hysteroscopically guided excision allowing a live birth after the transfer of a single IVF embryo. Subtle endometrial changes, such as endometritis or bone metaplasia, have long been known to impair the success of embryo implantation, but this observation reports the first case of squamous morular endometrial metaplasia to be diagnosed and treated conservatively before a successful single embryo transfer.
An Effective Language Convention Model Based on Deep Structured Learning and Natural Language Processing for Higher Education
Authors: Yalan Yang , Wei Tang
Published: May 2023

Language translation is highly needed in the increasingly networked world. The writing of English essays is an essential competency for higher education students. For non-English students in China, this is especially important. They often represent large numbers of Chinese English as second language students. Therefore this paper introduced Deep Structured Learning with Natural language processing (DSL-NLP) has been proposed to convert the Chinese language to the English language for student learning. An automatic input tool for writing assistance will be beneficial in building the proposed DSL-NLP method. The relationship between textual attributes and input from human teachers and provide characteristics feedback system. This study explored natural language processing (NLP) to determine the interpretative actions required for a successful understanding of the literary text. NLP attempts to assist in achieving consistency in applied linguistics, improving classroom communication, optimizing learner attitudes and motivation, raising personality, facilitating personal development, and even changing students' perspectives toward life. Thus the experimental results show the DSL-NLP improves student learning in the English language, enhances student performance in education, and effectively increases the student career
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition
Authors: Zhang Yazhou , Jia Ao , Wang Bo , Zhang Peng , Zhao Dongming , Li Pu , Hou Yuexian , Jin Xiaojia , Song Dawei , Qin Jing
Published: May 2023

Sentiment and emotion, which correspond to long-term and short-lived human feelings, are closely linked to each other, leading to the fact that sentiment analysis and emotion recognition are also two interdependent tasks in natural language processing (NLP). One task often leverages the shared knowledge from another task and performs better when solved in a joint learning paradigm. Conversational context dependency, multi-modal interaction, and multi-task correlation are three key factors that contribute to this joint paradigm. However, none of the recent approaches have considered them in a unified framework. To fill this gap, we propose a multi-modal, multi-task interactive graph attention network, termed M3GAT, to simultaneously solve the three problems. At the heart of the model is a proposed interactive conversation graph layer containing three core sub-modules, which are: (1) local-global context connection for modeling both local and global conversational context, (2) cross-modal connection for learning multi-modal complementary and (3) cross-task connection for capturing the correlation across two tasks. Comprehensive experiments on three benchmarking datasets, MELD, MEISD, and MSED, show the effectiveness of M3GAT over state-of-the-art baselines with the margin of 1.88%, 5.37%, and 0.19% for sentiment analysis, and 1.99%, 3.65%, and 0.13% for emotion recognition, respectively. In addition, we also show the superiority of multi-task learning over the single-task framework.
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures
Authors: Rashidi Lida , Zobel Justin , Moffat Alistair
Published: May 2023

Measurement of the effectiveness of search engines is often based on use of relevance judgments. It is well known that judgments can be inconsistent between judges, leading to discrepancies that potentially affect not only scores but also system relativities and confidence in the experimental outcomes. We take the perspective that the relevance judgments are an amalgam of perfect relevance assessments plus errors; making use of a model of systematic errors in binary relevance judgments that can be tuned to reflect the kind of judge that is being used, we explore the behavior of measures of effectiveness as error is introduced. Using a novel methodology in which we examine the distribution of “true” effectiveness measurements that could be underlying measurements based on sets of judgments that include error, we find that even moderate amounts of error can lead to conclusions such as orderings of systems that statistical tests report as significant but are nonetheless incorrect. Further, in these results the widely used recall-based measures AP and NDCG are notably more fragile in the presence of judgment error than is the utility-based measure RBP, but all the measures failed under even moderate error rates. We conclude that knowledge of likely error rates in judgments is critical to interpretation of experimental outcomes.
An Analysis of Fusion Functions for Hybrid Retrieval
Authors: Bruch Sebastian , Gai Siyu , Ingber Amir
Published: May 2023

We study hybrid search in text retrieval where lexical and semantic search are
fused
together with the intuition that the two are complementary in how they model relevance. In particular, we examine fusion by a convex combination of lexical and semantic scores, as well as the reciprocal rank fusion (RRF) method, and identify their advantages and potential pitfalls. Contrary to existing studies, we find RRF to be sensitive to its parameters; that the learning of a convex combination fusion is generally agnostic to the choice of score normalization; that convex combination outperforms RRF in in-domain and out-of-domain settings; and finally, that convex combination is sample efficient, requiring only a small set of training examples to tune its only parameter to a target domain.
Multitenancy and Observability in Smart City Platforms
Authors: Nikolaou Ioannis , Anthopoulos Leonidas
Published: May 2023

Smart City Platforms are complex Information and Communication (ICT) projects where information from the physical and virtual world converge with the ultimate goal to provide better living conditions to the city’s citizens. The architecture of these platforms has been approached as an evolution of similarly large ICT projects and as a consequence the already established architectural patterns have been reused. Among them is multitenancy, a software architecture pattern that emerged in an effort to optimize the use of compute resources and minimize the operational cost of large-scale deployments. At the same time, the size and complexity of Smart City Platforms makes observability one of the key capabilities a Smart City Platform must offer in order to ensure its operational requirements are met. From the perspective of system complexity in general and observability in particular, the applicability of the multitenancy architecture pattern in Smart City Platforms is debatable as the benefits it brings may not outweigh the challenges.
Reaction Gas Pressure, Temperature, and Membrane Water Content Modulate Electrochemical Process of a PEMFC: A Simulation Study
Authors: Xia Bin , Guo Pengyan , Wei Xinjing , Zong Hehui
Published: May 2023

Proton exchange membrane fuel cells (PEMFC) are widely used in transportation systems owing to their desirable characteristics such as high efficacy and low operating temperature. However, the fuel cell systems exhibit load changes as well as voltage and power losses so as to reduce dependence on the battery. The aim of the present study was to explore the composition and basic working principle of PEMFC. A PEMFC electrochemical reaction model was then established according to the electrochemical reaction principle of fuel cell to evaluate the effects of Nernst electromotive force, activation overvoltage, Ohmic overvoltage, concentration overvoltage, and electric double layer. The effects of activation loss, concentration loss, and Ohmic loss on the fuel cell were evaluated through simulation analysis. The effect of various factors on the dynamic output of a 60 kW PEMFC was explored through dynamic simulations. The findings showed that a change in current modulated a change in voltage through the Ohmic loss equivalent resistance. The activation loss equivalent resistance and the concentration loss equivalent resistance decreased the voltage loss owing to the presence of the capacitor. The output voltage of the fuel cell decreased with an increase in load current, whereas the output power increased with an increase in load current. Increase in partial pressure of oxygen caused an increase in output power and output voltage of the cell. The internal chemical reaction rate and the voltage output of the fuel cell increases with an increase in the working temperature. The findings of this study provide a basis for conducting further studies to produce efficient fuel cells for application in various systems.
Analysis of the Influence of Hydraulic Fracturing Fluid Velocity on Fracture Propagation
Authors: Wang Yuan , Zhong Liguo , Sun Xiaoguang , Feng Yanqing , Lin Haikun
Published: May 2023

To reveal the influence of fracturing fluid velocity on hydraulic fracturing fracture propagation, a hydraulic fracturing numerical model was established based on a coalbed methane (CBM) field in the northeast of China. The influence of fracturing fluid velocity on hydraulic fracturing fracture propagation is mainly investigated, and the relationship between fracturing fluid velocity and fracture tip displacement is obtained. The results show that the fracture front presents different morphological characteristics at different times of fracturing. The larger the fracturing fluid velocity, the larger the fracture length and width after the same time of hydraulic fracturing. However, the fracture length will not increase indefinitely; the fracture will stop spreading when the injected fluid reaches a balance with the fluid that is permeated or filtered from the fracture surface. With the increase in fracturing fluid velocity, the fracture length increases logarithmically and gradually flattens out. The research conclusion provides a certain reference for improving the fracture propagation effect of hydraulic fracturing.