bluuebunny/crossref_metadata_2025 huggingface dataset:
Power Attack Vulnerability Assessment of Circuit-Level PRESENT Encryption IP Using Artificial Intelligence Mechanisms
Authors: Natarajan Kailash , Sricharan R , Thriambak M , Banu Anjana Jyothi , Prathiba A , Kanchana Bhaaskaran V S
Published: March 2024

Artificial Intelligence (AI) schemes eliminate the need for intellectual human knowledge of crypto algorithms to facilitate side-channel attacks on security implementations. Side channel attack analysis for circuit-level hardware (VLSI) implementations of symmetric-key block ciphers through artificial machine models are yet to be addressed. The proposed design of block cipher architecture, which is the implementation under attack features, secure adiabatic logic style the Charge Balancing Symmetric Pre-resolve Adiabatic Logic (CBSPAL). This style exhibits uniform power consumption through its inherent circuit arrangement, which makes it robust toward side-channel power attacks. This paper considers several Multilayer Perceptron (MLP) architectures to mount non-profiled side-channel attacks on round 1- PRESENT circuit-level implementation. Supervised learning of the MLP models through training with power waveforms employs binary LSB labeling. An attack on the custom dataset with 50,000 supply power traces collected from the CBSPAL implementation fails to retrieve secret information in any of the 8 bytes. The traditional Correlation Power Attack (CPA) was also not thriving with the proposed implementation. Comparison is made through a similar attack approach on benchmark AES (ASCAD dataset), which distinguishes the secret information throughout all the parameters of interest: normalized accuracy, normalized NMM accuracy and rank plots on byte 3.
Improving Windows Malware Detection Using the Random Forest Algorithm and Multi-View Analysis
Authors: Syed Suhaila S. , Sundara Krishnan K.
Published: March 2024

Cybercriminals motivated by malign purpose and financial gain are rapidly developing new variants of sophisticated malware using automated tools, and most of these malware target Windows operating systems. This serious threat demands efficient techniques to analyze and detect zero-day, polymorphic and metamorphic malware. This paper introduces two frameworks for Windows malware detection using random forest algorithms. The first scheme uses features obtained from static and dynamic analysis for training, and the second scheme uses features obtained from static, dynamic, malware image analysis, location-sensitive hashing and file format inspections. We carried out an extensive experiment on two feature sets, and the proposed schemes are evaluated using seven standard evaluation metrics. The experiment results demonstrate that the second scheme recognizes unseen malware better than the first scheme and three state-of-the-art works. The findings show that the second scheme’s multi-view feature set contributes to its 99.58% accuracy and lowers false positive rate of 0.54%.
Properties of congruence lattices of graph inverse semigroups
Authors: Anagnostopoulou-Merkouri Marina , Mesyan Zachary , Mitchell James D.
Published: March 2024

From any directed graph E one can construct the graph inverse semigroup [Formula: see text], whose elements, roughly speaking, correspond to paths in E. Wang and Luo showed that the congruence lattice [Formula: see text] of [Formula: see text] is upper-semimodular for every graph E, but can fail to be lower-semimodular for some E. We provide a simple characterization of the graphs E for which [Formula: see text] is lower-semimodular. We also describe those E such that [Formula: see text] is atomistic, and characterize the minimal generating sets for [Formula: see text] when E is finite and simple.
Dark energy based on exotic statistics
Authors: Hoyuelos M. , Sisterna P.
Published: March 2024

Dark energy is an elusive concept, which has been introduced two decades ago in order to make the acceleration of the universe a comprehensible phenomenon. However, the nature of this energy is far from being understood, both from a fundamental as well as an observational way. In this work, we study cosmological consequences of the existence of particles (which we called “ewkons” in a previous work) which are quasi distinguishable, obey unorthodox statistics, and have an equation of state similar to many existent dark energy candidates (including negative relation between pressure and energy density). We find an effective scalar field description of this ewkon fluid, and obtain cosmological solutions for the dark energy-dominated epoch. This can be considered as a one-parameter class of dark energy models.
Qualitative probe of interacting dark energy with redshift-space distortions
Authors: Duniya Didam G. A.
Published: March 2024

The imprint of interacting dark energy (IDE) needs to be correctly identified in order to avoid bias in constraints on IDE. This paper investigates the large-scale imprint of IDE in redshift-space distortions (RSDs), using Euclid-like photometric prescriptions. A first attempt at incorporating the IDE dynamics in the galaxy (clustering and evolution) biases is made. Without IDE dynamics taken into account in the galaxy biases, as is conventionally done, the results suggest that for a constant dark energy (DE) equation of state parameter, an IDE model where the DE transfer rate is proportional to the DE density exhibits an alternating, positive–negative effect in the RSDs angular power spectrum. However, when the IDE dynamics is incorporated in the galaxy biases, it is found that the apparent positive–negative alternating effect vanishes: implying that neglecting IDE dynamics in the galaxy biases can result in “artifacts” that can lead to incorrect identification of the IDE imprint. In general, the results show that multi-tracer analysis will be needed to beat down cosmic variance in order for the RSDs angular power spectrum as a statistic to be a viable diagnostic of IDE. Moreover, it is found that RSDs hold the potential to constrain IDE on large scales, at redshifts [Formula: see text], with the scenario having IDE dynamics incorporated in the biases showing better potential.
Calculation of the half-life of proton radioactivity using the empirical formula depending on angular momentum
Authors: Yusofvand Z. , Naderi D.
Published: March 2024

In this paper, considering the power of the daughter nuclear charge as a function of the orbital angular momentum taken away by the emitted proton, we propose a formula for the half-life of proton radioactivity. In this formula, we have three coefficients with orbital angular momentum dependence. Using experimentally measured half-lives for 8 proton emitters with [Formula: see text], 14 proton emitters with [Formula: see text] and 18 proton emitters with [Formula: see text], we have obtained the coefficients. The root mean square deviations of our formula respect to the experimental value are found 0.2514, 0.4442 and 0.1846 for emitters [Formula: see text], 2 and 5, respectively. We have compared our results with Sreeja formula, the semiempirical relation of Hatsukawa and theoretical models such as the Coulomb and proximity potential model (CPPM) and the Gamow-like model. The better agreement with experimental data was observed for our formula in comparison with other theoretical models and Sreeja and Hatsukawa formulas.
Triaxiality dynamics in quadrupole deformed heavy even–even nuclei
Authors: Nadirbekov M. S. , Bozarov O. A. , Kudiratov S. N.
Published: March 2024

In the framework of free triaxiality model, branching ratio of reduced E2-transitions probabilities is studied for the full region changes of the triaxiality parameter. The variables of quadrupole deformations [Formula: see text] and [Formula: see text] are dynamic. The Davidson potential for [Formula: see text] and [Formula: see text] variables was used. In the free triaxiality model, the energy levels were obtained by taking into account the high-order terms of the rotational energy operator series, which lead energy levels of ground-state-band, [Formula: see text]- and [Formula: see text]-bands to improve considerably the agreement of the results with experimental data. The quadrupole moment of the nucleus expressed in terms of two internal quadrupole moments: [Formula: see text] is quadrupole moment about the symmetry axis, [Formula: see text] is the measure of the shape asymmetry about the symmetry axis. The intra/inter-band reduced E2-transition probabilities’ ground-state-band, [Formula: see text]- and [Formula: see text]-bands are presented and are expressed in terms of four parameters: [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text]. The influence of [Formula: see text]-oscillations to the reduced probabilities of E2-transitions is taken into account numerically. The sensitivity of the intra-/inter-band reduced E2-transition probabilities to the triaxiality parameter was analyzed.
Linear and Nonlinear Dynamics Responses of an Axially Moving Laminated Composite Plate-Reinforced with Graphene Nanoplatelets
Authors: Lu S. F. , Xue N. , Ma W. S. , Song X. J. , Jiang X.
Published: March 2024

The subharmonic resonances of an axially moving graphene-reinforced laminated composite plate are studied based on the Galerkin and multiscale methods. Graphene nanoplatelets (GPLs) are added into matrix material which acts as the basic layer of the plate, and a graphene-reinforced nanocomposite plate is thus obtained. Different GPL distribution patterns in the laminated plate are considered. The Halpin–Tsai model is selected to predict the physical properties of the nanocomposite. Hamilton’s principle is utilized to conduct the dynamic modeling of the plate and the von Kármán deformation theory is used. The velocity is assumed to be a combination of constant and harmonically varied velocities. The natural frequencies of the linear system with constant velocity can be obtained using the eigenvalues of the coefficient matrix of the ordinary differential equations after the governing partial differential equations of motion are discretized through the Galerkin method. The instability regions of the linear system and the amplitude–frequency relations of the nonlinear system considering the harmonically varied velocity are obtained based on the multiscale analysis. The effect of GPL reinforcement on the subharmonic resonances of the linear and nonlinear systems is analyzed in detail.
Experimental Study on Impulse-Induced Liquid Sloshing Modes and Frequencies in Rectangular Tanks
Authors: Hsu Wei-Hung , Chai Juin-Fu , Lin Fan-Ru , Kao Yi-Jun
Published: March 2024

Storage tanks are extensively used containers in various industries for storing diverse liquids. The sloshing of liquid in these containers, often caused by earthquakes, is an emerging issue in the context of damage sustained by tanks. Thus, the seismic resilience of a tank is a critical performance criterion in tank design. Given the complexity of liquid sloshing, the fundamental characteristics of this phenomenon must be examined to gain insights into fundamental sloshing behavior. Liquid sloshing typically involves a combination of fundamental and higher sloshing modes, and the modes and frequencies of liquid sloshing are therefore crucial for assessing this complex behavior. In this study, a shaking table test was employed to analyze the characteristics of liquid sloshing modes. The shapes of the first three sloshing modes under unidirectional excitation were determined and used to validate their symmetry. The findings indicate that the first sloshing mode exerts a more pronounced influence on liquid sloshing during free oscillation induced by unidirectional and horizontal excitation. The modal contribution factor of the first sloshing mode escalates with an increase in the ratio of the liquid level to the length of the tank parallel to the shaking direction, eventually converging toward a constant value.
Numerical Reproduction on the Extinction of Stochastic Population System
Authors: Cai Yongmei
Published: March 2024

Cai, Guo and Mao (2024) recently constructed a structure preserving numerical method for the n-dimensional stochastic Lotka–Volterra model and showed its strong convergence. Nevertheless, people are also concerned with whether the numerical methods are capable of reflecting the true dynamical behaviors. In this work, we will further show that this numerical method is able to reproduce the extinction of the population model under the same parametric condition. The main results are finally illustrated by computer simulations.
Fluctuation Analysis of Uterine Contractions in Term Pregnancies Using Electrohysterography Signals and Empirical Mode Decomposition-Based Multifractal Features
Authors: Punitha N. , Manuskandan S. R. , Ramakrishnan S.
Published: March 2024

Investigating the fluctuations of uterine contractions is an indispensable diagnostic practice to evaluate the onset of labor. This work aims to differentiate the fluctuations associated with Term (gestation ≥ 37 weeks) pregnancies during varied gestational ages using electrohysterography (EHG) signals. The signals in the second and third trimesters are subjected to Multifractal-Empirical Mode Decomposition-based Detrended Fluctuation Analysis (MF-EMDDFA). Multifractal spectrum is estimated and features namely, Holder exponents ([Formula: see text], [Formula: see text]), broadness (BD), root slopes (LS, RS) and tangential slopes (TL, TR) are extracted. Machine learning methods, such as Naïve Bayes, adaptive boosting and random forest (RF) classifiers, are utilized to discriminate the contractions during different weeks of gestation. Results show that five multifractal features, namely [Formula: see text], [Formula: see text], BD, LS and TL, show significant differences between the considered gestational ages. An increase in regularity of the uterine contractions is observed as the gestational age increases. These features along with the RF classifier provide an accuracy, sensitivity, precision, recall and F1-score of greater than 98.30%. As the differentiation of uterine contractions during different weeks of gestation is vital to understanding the pregnancy progress, the proposed multifractal features could be used as potential biomarkers in clinical practices.
Belief Inaccuracy Information Measures and Their Extensions
Authors: Kharazmi Omid , Contreras-Reyes Javier E.
Published: March 2024

This work introduces belief inaccuracy information (BII) and Jensen–belief inaccuracy information (JBII), grounded in the foundational concept of basic probability assignment. The significance of these novel methodologies lies in their potential to advance the field by providing valuable insights into belief accuracy assessment. The research not only establishes these measures but also highlights their relevance in addressing critical challenges within the realm of probability assignment. Further, some results associated with these proposed information measures were established. In addition, the BII and JBII measures were examined for escort and generalized escort of basic probability assignment functions, where an escort basic probability assignment with order [Formula: see text] is constructed based on the power [Formula: see text] of a baseline basic probability assignment with a normalizing constant. Finally, this paper presents compelling results derived from the application of BII and JBII measures. A detailed simulation of Conway’s game of life cellular automaton is described, showcasing the utility of these measures in analyzing belief inaccuracies within complex dynamic systems. Furthermore, an application to ozone time series is explored, employing belief Kullback–Leibler and belief chi-square divergences. This application specifically focuses on the study of station discrepancies, revealing the versatility of the proposed measures in addressing diverse scenarios.
Multivariate Detrended Fluctuation Analysis of Symbolic Sequences
Authors: Rodriguez Eduardo , Alvarez-Ramirez Jose , Carbó Roxana
Published: March 2024

Sequences formed by symbols are found in diverse fields, including genome sequences, written texts and computer codes. An interesting question is whether a sequence of symbols contains correlated structures. Existing methods to characterize correlations require a numerical representation of the sequence. In this regard, mapping a sequence of text into a sequence of numerical values is a key step for assessing correlation analysis. This work proposes a methodology to study correlations in a sequence of symbols. In the first step, the sequence of symbols is mapped in a multivariate numerical sequence formed by unit vectors in a vectorial space. The main feature of such mapping is that symbols are equally weighted, thus avoiding the numerical overrepresentation of symbols. In the second step, a multivariate version of the detrended fluctuation analysis is used to quantify correlations in the numerical sequence. Genome sequences (first COVID-19), written English texts and comovements between Bitcoin and gold markets were used to illustrate the proposed methodology’s performance. The results showed that the balanced numerical mapping of symbolic sequences and the multivariate DFA provides valuable insights into the correlations in a sequence of symbols.
Rate of convergence for the Smoluchowski–Kramers approximation for distribution-dependent SDEs driven by fractional Brownian motions
Authors: Liu Wei , Pei Bin , Yu Qian
Published: March 2024

In this paper, we study the rate in the Smoluchowski–Kramers approximation for the solution of the following distribution-dependent SDE driven by fractional Brownian motion [Formula: see text] where [Formula: see text] denotes the law of [Formula: see text], [Formula: see text] is a [Formula: see text]-dimensional fractional Brownian motion with Hurst parameter [Formula: see text]. Based on the techniques of multiple integrals and Malliavin calculus, we provide an explicit bound on total variation distance for the rate of convergence.
Ad-invariant metrics on nonnice nilpotent Lie algebras
Authors: Conti D. , del Barco V. , Rossi F. A.
Published: March 2024

We proved in previous work that all real nilpotent Lie algebras of dimension up to [Formula: see text] carrying an ad-invariant metric are nice, i.e. they admit a nice basis in the sense of Lauret et al. In this paper, we show by constructing explicit examples that nonnice irreducible nilpotent Lie algebras admitting an ad-invariant metric exist for every dimension greater than [Formula: see text] and every nilpotency step greater than [Formula: see text]. In the way of doing so, we introduce a method to construct Lie algebras with ad-invariant metrics called the single extension, as a parallel to the well-known double extension procedure.
Modeling Photovoltaic Facilities via Fuzzy Sets and Linguistic Petri Nets
Authors: Medina Jesús , Moreno-García Juan
Published: March 2024

This paper introduces a formal procedure based on linguistic Petri nets and fuzzy sets in order to model photovoltaic facilities and provide different alerts with respect to a correct performance. Furthermore, this procedure has been illustrated in a real case. Specifically, it is tested on six solar photovoltaic facilities (stations) owned by the company Grupo Energético de Puerto Real (GEN). The energy generated by each station has been compared through Dynamic Time Warping (DTW) and analyzed by a designed Petri net, which considers fuzzy sets and Natural Language for a better interpretation and understanding for the (nonexpert) user. The results show that the proposed procedure offers excellent results, bigger profits for the company and that it can be scalable and exportable to other facilities.
PfgPDI: Pocket feature-enabled graph neural network for protein-drug interaction prediction
Authors: Zhang Yiqian , Zhou Changjian
Published: March 2024

Biomolecular interaction recognition between ligands and proteins is an essential task, which largely enhances the safety and efficacy in drug discovery and development stage. Studying the interaction between proteins and ligands can improve the understanding of disease pathogenesis and lead to more effective drug targets. Additionally, it can aid in determining drug parameters, ensuring proper absorption, distribution, and metabolism within the body. Due to incomplete feature representation or the model’s inadequate adaptation to protein-ligand complexes, the existing methodologies suffer from suboptimal predictive accuracy. To address these pitfalls, in this study, we designed a new deep learning method based on transformer and GCN. We first utilized the transformer network to grasp crucial information of the original protein sequences within the smile sequences and connected them to prevent falling into a local optimum. Furthermore, a series of dilation convolutions are performed to obtain the pocket features and smile features, subsequently subjected to graphical convolution to optimize the connections. The combined representations are fed into the proposed model for classification prediction. Experiments conducted on various protein-ligand binding prediction methods prove the effectiveness of our proposed method. It is expected that the PfgPDI can contribute to drug prediction and accelerate the development of new drugs, while also serving as a valuable partner for drug testing and Research and Development engineers.
Can Government Subsidies Facilitate TFP Growth? From the Perspective of Dynamic Capability
Authors: Zhu Xiaoxuan , Zuo Feiyun , Wang Suwan , Yang Qing , Shi Xing
Published: March 2024

Although the main reason governments offer subsidies is to guide production activities and enhance the competencies of individual firms, its economic effectiveness and influential mechanism remain unclear. In this study, based on dynamic capability perspective, we introduce knowledge flows (i.e. inflows and outflows) and examine their mediation roles in the relationship between government subsidies and total factor productivity (TFP) growth. Empirical analysis is conducted using panel data from 4,335 Chinese public listed firms during the period from 2007 to 2020. The regression results show that government subsidies have a positive influence on firms’ TFP growth. Further analysis confirms that government subsidies can positively affect TFP growth by influencing both knowledge inflows and outflows. This paper enriches the current literature by involving dynamic capability theory, providing novel insights into the influential mechanisms of government subsidies. Additionally, we introduce TFP as a more comprehensive measurement to avoid bias resulting from a one-sided assessment of performance. This study also provides practical inspiration for firms to design appropriate knowledge management systems and leverage the effectiveness of government subsidies in terms of firm growth.
Characterization of a special type of Ricci–Bourguignon soliton on sequential warped product manifold
Authors: Pahan Sampa , Dutta Souvik
Published: March 2024

In this paper, we aim to characterize the sequential warped product [Formula: see text]-almost gradient conformal Ricci–Bourguignon soliton. We derive applications of some vector fields like conformal vector field, torse-forming vector field, torqued vector field on [Formula: see text]-almost conformal Ricci–Bourguignon soliton. The inheritance properties of the Einstein-like sequential warped product [Formula: see text]-almost gradient conformal Ricci–Bourguignon solitons of class types [Formula: see text] are investigated in this paper. Later we show that if [Formula: see text] is a sequential warped product of a complete connected [Formula: see text]-dimensional Riemannian manifold [Formula: see text] and one-dimensional Riemannian manifolds [Formula: see text] and [Formula: see text] admitting [Formula: see text]-almost conformal Ricci–Bourguignon soliton, then [Formula: see text] becomes a [Formula: see text]-dimensional sphere of radius [Formula: see text]. We have discovered that for a [Formula: see text]-almost gradient conformal Ricci–Bourguignon soliton sequential warped product, the warping functions are constants under certain conditions.
A flat FLRW dark energy model in f(Q,C)-gravity theory with observational constraints
Authors: Pradhan Anirudh , Dixit Archana , Zeyauddin M. , Krishnannair S.
Published: March 2024

In the recently suggested modified non-metricity gravity theory with boundary term in a flat FLRW spacetime universe, dark energy scenarios of cosmological models are examined in this study. An arbitrary function, [Formula: see text], has been taken into consideration, where [Formula: see text] is the non-metricity scalar, [Formula: see text] is the boundary term denoted by [Formula: see text], and [Formula: see text] is the model parameter, for the action that is quadratic in [Formula: see text]. The Hubble function [Formula: see text], where [Formula: see text] is the current value of the Hubble constant and [Formula: see text] and [Formula: see text] are arbitrary parameters with [Formula: see text], has been used to examine the dark energy characteristics of the model. We discovered a transit phase expanding universe model that is both decelerated in the past and accelerated in the present, and we discovered that the dark energy equation of state (EoS) [Formula: see text] behaves as [Formula: see text]. The Om diagnostic analysis reveals the quintessence behavior in the present and the cosmological constant scenario in the late-time universe. Finally, we calculated the universe’s current age, which was found to be quite similar to recent data.
Dark energy and dark matter as a kinematic-electromagnetic Abelian gauge effect
Authors: Garat Alcides
Published: March 2024

In this paper, we will discuss an alternative theory for the origin of dark matter and dark energy based on the new concept of tetrad gauge states of spacetime. The new tetrads already introduced new physics since it has been proved that local electromagnetic gauge transformations can boost the local tetrad fields in a four-dimensional curved Lorentz spacetime. It is within this context that we will present a different qualitative explanation for the so-called dark matter and dark energy and new possible topological solutions of a galactic nature for Einstein–Maxwell spacetimes in its relation to dark matter and new possible topological solutions of a cosmological nature for Einstein–Maxwell spacetimes in its relation to dark energy.
The Kastler–Kalau–Walze-type theorems about J-Witten deformation
Authors: Liu Siyao , Wang Yong
Published: March 2024

In this paper, we obtain a Lichnerowicz-type formula for [Formula: see text]-Witten deformation and give the proof of the Kastler–Kalau–Walze-type theorems associated with [Formula: see text]-Witten deformation on four-dimensional and six-dimensional almost product Riemannian manifold with (respectively, without) boundary. We give an explanation of the Einstein–Hilbert action for [Formula: see text]-Witten deformation on four-dimensional manifold with boundary.
Hybrid Chemomechanical Yielding of Covalent Adaptable Networks for Toughening Ionic Semi-Crystalline Epoxy
Authors: Zhang Jing , Lu Haibao , Fu Yong-Qing
Published: March 2024

Covalent adaptable network (CAN) in thermoset epoxy shows good recyclability due to its bond exchange reactions (BERs), which result in low mechanical strength and toughness. Many experimental studies on using the semi-crystalline structures and ions with the CAN have shown to improve the mechanical strength and toughness of these thermoset epoxies. However, their toughening mechanisms and coupling effects have not been well understood. Herein, we propose an extended Maxwell model to explore toughening mechanisms and coupling effects of the semi-crystallization process and formation of ion phases on CANs, which enables the thermoset epoxy with hybrid chemomechanical yielding. A constitutive stress–strain relationship is formulated to characterize the mechanical toughening and hybrid chemomechanical yielding behavior, where the first stage of yielding is originated from the effect of ions on amorphous phases, and the second stage of yielding is due to the coupling effect of semi-crystallization and formation of ions. The proposed models have been verified using the experimental results, and provide a fundamental approach to understanding the toughening mechanisms and coupling effects of semi-crystallization and ions in thermoset epoxy.
Impact of Two Vertical Porous Barriers in Reflection of Water Waves and Mitigation of Wave Forces on a Rigid Floating Structure with Consideration of Uniform Current Over a Porous Sea-Bed
Authors: Jain Shilpi , Bora Swaroop Nandan
Published: March 2024

This work examines an oblique water wave scattering by a rigid floating structure with the consideration of uniform current and no current, in the presence of two porous barriers with distinct height and porous properties placed in front of the structure. The objective is to study the associated reflection and to find means to mitigate the waveload on the floating structure. These barriers are considered at some distance apart from each other. It is assumed that the train of water waves interacts with the porous barriers and the floating structure due to which it undergoes partial reflection. The fluid domain is considered in terms of five distinct sub-regions in each of which the solution of the relevant boundary value problem in terms of the velocity potential is obtained through the employment of the techniques of separation of variables and eigenfunction expansion. The resulting system of equations is obtained by utilizing the matching conditions corresponding to the continuity of mass flux and pressure across each virtual vertical boundary. The roots of the dispersion relation are evaluated and utilized while solving the system of linear equations through a standard matrix technique which gives the unknown coefficients. For understanding the role of the porous barriers, the reflection coefficient and the hydrodynamic forces are evaluated and analyzed. In this context, the impact of the space between these two porous barriers, their height, and the values of the porous-effect parameters are thoroughly examined. It is observed that placing of these barriers at an appropriate distance from each other can substantially mitigate both horizontal force and vertical force acting on the floating structure. This study reveals a periodic nature of the reflection coefficient corresponding to an increase in the distance between the barriers. Further, another important observation is that the reflection coefficient results in an increment as the height of these porous barriers is increased. It, as a result, produces a reduction of the wave forces acting on the floating structure. The study of the oblique wave scattering by the floating structure is extended to the case of the presence of a uniform current. In this case, an enhancement in the reflection coefficient is observed, and subsequently, horizontal and vertical forces on the floating structure decrease. The impact of some other parameters on the reflection coefficient and the forces is also studied, and some observations are recorded. The results are validated against two established results which shows a very close match.
Strong fixed points for Pata-type coupling with application in fractal generation by construction of iterated function systems
Authors: Roy Subhadip , Saha Parbati , Choudhury Binayak S.
Published: March 2024

In this paper, in the first place, a strong coupled fixed point result is established for couplings satisfying Pata-type contractive conditions along with certain corollaries and a supportive illustration. Couplings are combinations of coupled and cyclic maps which have appeared in recent literature and have several applications. The illustrative example shows that the theorem properly extends some of the existing results. In the second part of the paper we construct a special type of iterated function system and, utilizing the coupled fixed point theorem introduced in this work, we show that such systems lead to strong fractal sets. This part of the paper is a part of the Hutchinson–Barnsley theory.
The Fekete–Szegö inequality for a subfamily of q-analogue analytic functions associated with the modified q-Opoola operator
Authors: Alatawi Abdullah , Darus Maslina
Published: March 2024

In the current work, we alter the Opoola derivative operator using quantum calculus. We examine a novel specific subfamily of analytical functions with complex order connected to the subordination principal by using the modified [Formula: see text]-Opoola derivative operator. Next, we examine the Fekete–Szegö inequality for the generated subclass in the open unit disk. This paper sheds light the significant connections between the results introduced in this work and previous results.
A new approach to coincidence points and common fixed points under a homotopy of families of mappings in b-metric spaces
Authors: Gupta Anuradha , Kumar Ankit , Rohilla Manu
Published: March 2024

In this paper, we derive coincidence point and common fixed point results under order homotopies of families of mappings in partially ordered [Formula: see text]-metric spaces.
Characterization of Sasakian manifolds
Authors: Rovenski Vladimir
Published: March 2024

Weak almost contact manifolds, i.e., the linear complex structure on the contact distribution is replaced by a nonsingular skew-symmetric tensor, defined by the author and Wolak, allowed us to take a new look at the theory of contact manifolds. In this paper, we continue our study of a new structure of this type, called a weak nearly Sasakian structure, and prove theorems characterizing Sasakian manifolds. Our main result generalizes the theorem by Nicola–Dileo–Yudin (2018) and provides a new criterion for a weak almost-contact metric manifold to be Sasakian.
Constructing MXene-/coconut-derived carbon composite as a robust anode material for enhanced lithium storage
Authors: Zhong Shengkui , Zhang Jian , Bai Shiwei , Yang Bo , Shi Shihe , Liu Jiequn , Chen Qingrong , Liao Zhijian , Wan Wubo
Published: March 2024

MXene is one kind of a promising anode material due to its graphene-like structure, excellent electrochemical characteristics and low lithium ion diffusion barrier. But the lower specific capacity couldn’t meet the demands in practical application. Here, we have constructed coconut-derived carbon anchored within the MXene layers, which improves the conductivity to prompt the kinetics upon redox reactions, in the meantime, shorts the transfer distance and buffers volume changes, synergistically improving the electrochemical reversibility during charge and discharge processes. Naturally, the MXene/C hybrid anode delivers a high initial discharge specific capacity of 1951.7 mAh g[Formula: see text] at 0.1 A g[Formula: see text]. Additionally, it maintains a stable cycle with a reversible capacity of 511.7 mAh g[Formula: see text] after 500 cycles at 0.5 A g[Formula: see text]. This work paves a straightforward avenue to developing a versatile MXene-based anode for high performance LIBs.
Synthesis, X-ray diffraction and dielectric studies of the ceramic samples (1−x)BaTiO3⋅xPbFe2/3W1/3O3 (0≤x≤1) system
Authors: Fedulov D. Yu. , Kamentsev K. E. , Bush A. A. , Kozlov V. I.
Published: March 2024

Ceramic samples of the ([Formula: see text])BaTiO3⋅xPbFe[Formula: see text]W[Formula: see text]O3, [Formula: see text] (([Formula: see text])BT⋅xPFW) system were synthesized by solid-state reactions method. The samples were characterized by X-ray diffraction (XRD) and dielectric studies, as well as by the measurements of the thermally stimulated depolarization currents (TSDC). It was found that the predominant phase in the samples is presented by the (Ba[Formula: see text]Pbx)(Ti[Formula: see text]Fe[Formula: see text]W[Formula: see text])O3 solid solutions with a perovskite structure, herewith the samples with [Formula: see text] are practically single-phase, and with [Formula: see text] contain the impurity phase BaWO4 (up to 15 mass.% at [Formula: see text]–0.90). Information has been obtained about the changes in the structural and dielectric characteristics of the solid solutions with the change of their composition. It is established that the solid solutions crystal lattice symmetry at 296 K changes from tetragonal at [Formula: see text] to cubic at [Formula: see text]. An increase in the PFW content in solid solutions causes a gradual change in their properties from ferroelectric at [Formula: see text] to relaxor ferroelectric at [Formula: see text], and then to properties similar to those of the dipole glass with weak or zero correlation between dipoles at [Formula: see text]. The addition of BT to PFW leads to rather quick degradation of the relaxor ferroelectric properties of PFW in the region [Formula: see text]–1.0.
Microwave absorption properties of bismuth ferrite-based ceramics
Authors: Astafev P. A. , Zorin D. I. , Reizenkind J. A. , Lerer A. M. , Andryushin K. P. , Pavelko A. A. , Reznichenko L. A.
Published: March 2024

The paper presents the results of a study of the microwave absorption properties of ceramic materials based on bismuth ferrite containing rare earth elements, as well as systems of solid solutions ([Formula: see text])BiFeO3–xPbFe[Formula: see text]Nb[Formula: see text]O3 in a wide range of component concentrations. The methodology for measuring and calculating the parameters of samples of the materials under study is described. The influence of structural and microstructural factors on the average and maximum level of microwave absorption of the materials under study in a wide frequency range is analyzed. A comparison of the microwave absorbing properties of these materials with industrial absorbers has been carried out, and prospects for application in microwave technology have been shown.
Relativistic Motion in the Uniform Field: The Alignment Effect
Authors: Ivchenko Vladimir
Published: March 2024

We describe the essence of the so-called “alignment effect” from the standpoint of the maximum power principle and consider the main features of this effect within the framework of the relativistic approach. The paper is addressed to undergraduates studying the basics of the special theory of relativity.
Israel-Palestine Conflict: Role of India & Major Global Players
Authors: DASH SATYA PRAKASH
Published: March 2024

The paper traces the origin of the Middle East conflict and discusses the gradual evolution of the Israel-Palestine conflict from a historical perspective. The paper discusses the peace negotiations undertaken for the region during different periods and the contribution of the international community in reaching a compromise formula. The paper discusses the emergence and the role of Hamas and how it gained political legitimacy. The paper concludes with the views of Israel and India perspective.
A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation
Authors: Gao Tieliang , Duan Li , Feng Lufeng , Ni Wei , Sheng Quan Z.
Published: March 2024

Service composition platforms play a crucial role in creating personalized service processes. Challenges, including the risk of tampering with service data during service invocation and the potential single point of failure in centralized service registration centers, hinder the efficient and responsible creation of service processes. This paper presents a novel framework called Context-Aware Responsible Service Process Creation and Recommendation (SPCR-CA), which incorporates blockchain, Recurrent Neural Networks (RNNs), and a Skip-Gram model holistically to enhance the security, efficiency, and quality of service process creation and recommendation. Specifically, the blockchain establishes a trusted service provision environment, ensuring transparent and secure transactions between services and mitigating the risk of tampering. The RNN trains responsible service processes, contextualizing service components and producing coherent recommendations of linkage components. The Skip-Gram model trains responsible user-service process records, generating semantic vectors that facilitate the recommendation of similar service processes to users. Experiments using the Programmable-Web dataset demonstrate the superiority of the SPCR-CA framework to existing benchmarks in precision and recall. The proposed framework enhances the reliability, efficiency, and quality of service process creation and recommendation, enabling users to create responsible and tailored service processes. The
SPCR-CA
framework offers promising potential to provide users with secure and user-centric service creation and recommendation capabilities.
Insights into Natural Language Database Query Errors: from Attention Misalignment to User Handling Strategies
Authors: Ning Zheng , Tian Yuan , Zhang Zheng , Zhang Tianyi , Li Toby Jia-Jun
Published: March 2024

Querying structured databases with natural language (NL2SQL) has remained a difficult problem for years. Recently, the advancement of machine learning (ML), natural language processing (NLP), and large language models (LLM) have led to significant improvements in performance, with the best model achieving ∼85% percent accuracy on the benchmark Spider dataset. However, there is a lack of a systematic understanding of the types, causes, and effectiveness of error-handling mechanisms of errors for erroneous queries nowadays. To bridge the gap, a taxonomy of errors made by four representative NL2SQL models was built in this work, along with an in-depth analysis of the errors. Second, the causes of model errors were explored by analyzing the model-human attention alignment to the natural language query. Last, a within-subjects user study with 26 participants was conducted to investigate the effectiveness of three interactive error-handling mechanisms in NL2SQL. Findings from this article shed light on the design of model structure and error discovery and repair strategies for natural language data query interfaces in the future.
Iterated Local Search with Linkage Learning
Authors: Tinós Renato , Przewozniczek Michal W. , Whitley Darrell , Chicano Francisco
Published: March 2024

In pseudo-Boolean optimization, a variable interaction graph represents variables as vertices, and interactions between pairs of variables as edges. In black-box optimization, the variable interaction graph may be at least partially discovered by using empirical linkage learning techniques. These methods never report false variable interactions, but they are computationally expensive. The recently proposed local search with linkage learning discovers the partial variable interaction graph as a side-effect of iterated local search. However, information about the strength of the interactions is not learned by the algorithm. We propose local search with linkage learning 2, which builds a weighted variable interaction graph that stores information about the strength of the interaction between variables. The weighted variable interaction graph can provide new insights about the optimization problem and behavior of optimizers. Experiments with NK landscapes, knapsack problem, and feature selection show that local search with linkage learning 2 is able to efficiently build weighted variable interaction graphs. In particular, experiments with feature selection show that the weighted variable interaction graphs can be used for visualizing the feature interactions in machine learning. Additionally, new transformation operators that exploit the interactions between variables can be designed. We illustrate this ability by proposing a new perturbation operator for iterated local search.
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization
Authors: Liu Shengcai , Lu Ning , Hong Wenjing , Qian Chao , Tang Ke
Published: March 2024

The field of adversarial textual attack has significantly grown over the past few years, where the commonly considered objective is to craft adversarial examples (AEs) that can successfully fool the target model. However, the imperceptibility of attacks, which is also essential for practical attackers, is often left out by previous studies. In consequence, the crafted AEs tend to have obvious structural and semantic differences from the original human-written text, making them easily perceptible. In this work, we advocate leveraging multi-objectivization to address such an issue. Specifically, we reformulate the problem of crafting AEs as a multi-objective optimization problem, where the attack imperceptibility is considered as an auxiliary objective. Then, we propose a simple yet effective evolutionary algorithm, dubbed HydraText, to solve this problem. HydraText can be effectively applied to both score-based and decision-based attack settings. Exhaustive experiments involving
44,237
instances demonstrate that HydraText consistently achieves competitive attack success rates and better attack imperceptibility than the recently proposed attack approaches. A human evaluation study also shows that the AEs crafted by HydraText are more indistinguishable from human-written text. Finally, these AEs exhibit good transferability and can bring notable robustness improvement to the target model by adversarial training.
Zinc Oxide Anchored Porous Reduced Graphene Oxide: Electrode Material for Sensing of Ezetimibe
Authors: Agadi Naveenkumar P. , Teradal Nagappa L. , H. Manjunatha D. , Seetharamappa Jaldappagari
Published: March 2024

A new and sensitive electrochemical sensing platform was developed based on zinc oxide anchored porous reduced graphene oxide nanocomposite (ZnO/prGO) for a dyslipidemic agent, ezetimibe (EZT). ZnO nanoparticles (NPs) were prepared by treating zinc acetate solution with an environmental friendly precursor, Balanitesroxburghii date fruit extract (desert date). The nanocomposite, ZnO/prGO was prepared by hydrothermal treatment followed by ultrasonication method. ZnO/prGO was characterized systematically by X-ray diffraction, UV-visible spectroscopic, FT-infrared spectroscopic, scanning electron microscopic-EDX and electrochemical impedance spectroscopic techniques. The sensing platform was fabricated by drop casting ZnO/prGO suspension onto the surface of glassy carbon electrode (GCE) to obtain ZnO/prGO/GCE. The proposed sensor, ZnO/prGO/GCE, showed excellent sensitivity for EZT due to porogenic nature and improved electron /mass transfer capability of the electrode material. EZT exhibited an anodic peak with 18-fold enhancement in peak current at ZnO/prGO/GCE when compared to that at bare GCE. Linearity was observed between the peak current and concentration of EZT in the range of 0.1–51.1 μM and 0.05–62.5 μM for square wave voltammetric (SWV) and differential pulse voltammetric (DPV) methods, respectively. SWV method was developed for the first time for the determination of EZT with a lowest limit of detection of 0.03 μM. The fabricated electrochemical sensor displayed good selectivity for EZT in the presence of additives and excipients. The applicability of the proposed sensor was demonstrated by determining EZT in spiked urine samples and pharmaceutical formulations. The results of analysis were found to be accurate with more than 97% recovery and precise with RSD values of less than 3.0%.