bluuebunny/crossref_metadata_2025 huggingface dataset:
The Context Dependency of Lean Product Development Barriers and Success Factors, a Literature Review
Authors: Jaffré Maéva , Blanco Eric , Chévrier Pierre , Penz Bernard
Published: February 2024

There is no consensus in the literature on how to apply Lean Product Development (LPD) successfully. This paper presents a literature review aiming to fill this gap. The key success factors in and barriers to successful implementation of LPD were gathered and categorized by means of a thematic reading. The question of the context’s influence on these factors is also posed, and a proposition is made to prioritize the notion of configurations rather than frameworks. From an academic perspective, this research gives an overview of the LPD implementation’s key factors and opens up a discussion on the pertinence of the notion of framework in this field. On the practitioner side, this paper helps organizations to reflect on the main factors to consider when implementing LPD.
Quasi-static evolution of axially and reflection symmetric large-scale configuration
Authors: Yousaf Z. , Bamba Kazuharu , Bhatti M. Z. , Farwa U.
Published: February 2024

In this paper, we review a recently offered notion of quasi-static evolution of the axial self-gravitating structures at large scales and the criterium to characterize the corresponding evolutionary aspects under the influence of strong curvature regimes. In doing so, we examine the axial source’s dynamic and quasi-static behavior within the parameters of various modified gravity theories. We address the formalism of these notions and their possible implications in studying the dissipative and anisotropic configuration. We initiate by considering higher-order curvature gravity. The Palatini formalism of [Formula: see text] gravity is also taken into consideration to analyze the behavior of the kinematical as well as the dynamical variables of the proposed problem. The set of invariant velocities is defined to comprehend the concept of quasi-static approximation that enhances the stability of the system in contrast to the dynamic mode. It is identified that vorticity and distinct versions of the structure scalars [Formula: see text], [Formula: see text] and [Formula: see text] play an important role in revealing the significant effects of a fluid’s anisotropy. As another example of evolution, we check the influence of Palatini-based factors on the shearing motion of the object. A comparison-based study of the physical nature of distinct curvature factors on the propagation of the axial source is exhibited. This provides the intriguing platform to grasp the notion of quasi-static evolution together with the distinct curvature factors at current time scenario. The importance of slowly evolving axially symmetric regimes will be addressed through the distinct modified gravitational context. Finally, we share a list of queries that, we believe, deserve to be addressed in the near future.
Non-commutative Wormhole geometries in presence of modified Chaplygin–Jacobi gas and Anton–Schmidt fluid
Authors: Paramanik Soubhik , Debnath Ujjal
Published: February 2024

In this work, we have found Wormhole (WH) solutions in isotropic cosmology in the backdrop of general relativity while utilizing the “Modified Chaplygin–Jacobi Gas” and “Anton–Schmidt fluid” equations of state. As a starting point for our calculations, we have also considered two matter distributions, namely the Gaussian distribution and the Lorentzian distribution. All four energy conditions (i.e. strong, weak, null and dominant) are calculated, and their respective graphs are plotted as well. The shape function and redshift function associated with the wormhole structure are also derived and plotted graphically. After that, the embedding diagram of our wormhole models and proper radial distance are presented graphically. Finally, we have discussed the stability of the wormhole solutions obtained using the generalized Tolman–Oppenheimer–Volkov (TOV) equation and have examined the aspect of vanishing sound speed inside the wormhole throat to study the role of perturbations of the system.
Revisiting Legendre transformations in Finsler geometry
Authors: Rodrigues Ernesto , Lobo Iarley P.
Published: February 2024

In this paper, we discuss the conditions for mapping the geometric description of the kinematics of particles that probe a given Hamiltonian in phase space to a description in terms of Finsler geometry (and vice-versa).
On D-brane models from flat torus geometry
Authors: Ennadifi S. E.
Published: February 2024

Inspired by string theory compactifications and torus [Formula: see text] topology, we consider a general interacting D([Formula: see text])-brane model, with [Formula: see text] being the number of extra dimensions, built from a flat torus [Formula: see text] compactification. In particular, we present the squared [Formula: see text] torus topological features and investigate the associated low-energy D-brane physics.
Charged stellar structure with Krori–Barua potentials in f(R,ϕ,X) gravity admitting Chaplygin equation of state
Authors: Malik Adnan
Published: February 2024

The primary objective of this paper is to examine singularity-free solutions within the framework of anisotropic solutions for the Chaplygin equation of state in [Formula: see text] modified gravity theory. Herein, [Formula: see text] signifies the Ricci scalar, [Formula: see text] denotes the scalar field, and [Formula: see text] represents the kinetic term associated with [Formula: see text]. The investigation employs the Krori–Barua metric to explore the characteristics of an anisotropic compact star. In the course of our analysis, we specifically consider observational data about three distinct stellar structures: Her X-I, LMC X-4, and 4U 1538-52. Our inquiry extends to the graphical examination of various physical parameters, encompassing energy density, pressure components, anisotropic components, equation of state parameters, equilibrium conditions, stability analysis, adiabatic index, and energy conditions. Furthermore, we delve into the intricacies of the mass-radius function, compactness factor, and surface redshift–integral features of charged compact stars. The culmination of our findings suggests that the [Formula: see text] theory of gravity when subjected to observational scrutiny, manifests as realistic, stable, and devoid of singularities.
Spectrum and q-index of the super q-deformed Dirac operator on the superquantum fuzzy two-sphere Sqμ(2|2)
Authors: Mahmoodi M. , Lotfizadeh M. , Mohammadi Behnam
Published: February 2024

In this paper, we have computed the spectrum and the [Formula: see text]-index of the super [Formula: see text]-deformed Ginsparg–Wilson Dirac operator in the different cases (fuzzy, non-fuzzy, gauged, and non-gauged) on the superquantum fuzzy two-sphere [Formula: see text]. We also presented the appropriate spin structure that this operator acts on the superquantum (Dirac) spinor bundle. Finally, it was shown that in the non-quantum limit, when [Formula: see text] tends to 1, in each case, there is a correct commutative limit for the spectrum and the [Formula: see text]-index.
A background independent notion of causality
Authors: Capolupo A. , Quaranta A.
Published: February 2024

We develop a notion of causal order on a generic manifold as independent of the underlying differential and topological structure. We show that sufficiently regular causal orders can be recovered from a distinguished algebra of sets, which plays a role analogous to that of topologies and [Formula: see text] algebras. We then discuss how a natural notion of measure can be associated to the algebra of causal sets.
On discrete properties of Bernoulli shift
Authors: Halušková Emília , Schwartzová Radka
Published: February 2024

Monounary algebras are the most simple type of an algebraic structure. Oriented graphs with one outgoing arrow from every vertex represent them. The aim of this paper is to point out the interdisciplinary relationships concerning this structure. Bernoulli shift is a paradigmatic mapping in dynamical systems. It is also called dyadic, bit shift, doubling or sawtooth. We offer a look at the properties of this mapping via monounary algebras.
LUMPY SKIN DISEASE: AN ENCROACHING RISK IN CATTLE FARMING
Authors: Afzal Haroon , Umar Muhammad , Hussain Waseem , Cheng Li-Ting
Published: February 2024

Lumpy skin disease (LSD) is a vector-borne disease of cattle and water buffalo caused by the lumpy skin disease virus (LSDV) of the Capripoxvirus genus. LSD mainly affects the skin and the lymphatics of animals, and manifests as firm skin nodules, low feed intake, and a drop in milk production. Animal-to-animal contact, blood-feeding insects, animal products, stable flies, and mosquitoes can facilitate the transmission of LSD across herds and borders. The first case of LSD was reported in 1929 in Zambia. It was endemic to Africa until 1985 and later spread to Eastern Europe and Asia. The latest outbreak of LSD was reported in the Asia-Pacific region. At present, biosafety measures (control of animal movement, vectors, and animal products) are being devised by authorities to tackle LSD. Vaccines are also being developed for LSDV in recent decades. Live attenuated vaccines of both homologous and heterologous (of the Capripoxvirus genus) virus strains were utilized. A few side effects of the live vaccines were observed, such as skin nodules, low feed intake, and a drop in milk production. Inactivated LSDV vaccines were produced, showing a higher safety profile than live vaccines, yet offering only partial protection and lacks cross-protection. Recombinant LSDV vaccines are also under development; however, challenges remain in terms of the best vaccine delivery methods and antigen selection from the large poxvirus genome. Overall, mass vaccination with an effective vaccine may play a central role in the control of LSDV.
Rapid Crisis Response in Resilient Cities: Emergency Response to and Reconnaissance of Earthquake Disasters in Taiwan
Authors: Ke Siao-Syun , Hsu Chih-Hao , Yang Ching-Yuan
Published: February 2024

The devastating Chichi earthquake in Taiwan in 1999 highlighted the importance of disaster prevention and relief operations. In response to the challenge of extreme events and compound disasters, the National Science and Technology Center for Disaster Reduction (NCDR) contributes to operations at the Central Emergency Operation Center (CEOC) of Taiwan by providing integrated information and timely suggestions, and it delivers a common operational picture to central and local governments through a decision support system. This study was undertaken to explore the emergency response towards the reconnaissance of earthquake disasters in Taiwan to illustrate how resilient cities ensure rapid crisis response with a focus on the NCDR disaster response decision support system. This study examines the decision support system used following the 2016 ML 6.6 Meinong earthquake. The results demonstrate that the first line of relief for the emergency response commander is data-driven decision-making.
Optimal boundary control for a competitive population system with size structure and time delay in a polluted environment
Authors: Qin Fenghui , Wang Zhanping
Published: February 2024

In this paper, we consider the optimal boundary control problem of a two-species competitive system with time delay and size structure in a polluted environment. First, the well posedness of the system is studied by using the characteristic line method and the fixed point principle. Second, the necessary conditions for optimal boundary control are obtained by conjugate system and normal cone property. Finally, the existence and uniqueness of the optimal strategy are proved by Ekeland variational principle.
Noise propagation and amplification in microbial communities with different resistance mechanisms
Authors: Yang Zhao , Yan Fang , Liu Haihong
Published: February 2024

Antimicrobial resistance is a growing concern in the field of microbiology. In a microbial community, the Susceptible Subpopulations (SSs) and the Non-genetically Resistant Subpopulations (NRSs) can switch between each other, and NRSs can mutate to Genetically Resistant Subpopulations (GRSs). In order to quantitatively describe the relationship between noise and signal amplification in the subpopulations, a mathematical model for three subpopulations is proposed in this paper. The gain fluctuation relation is obtained by linear noise approximation of the master equation. Then, through the simulation of these theoretical results, the following conclusions are found. First, the indirect effects of the interaction between subpopulations are much greater than the direct effects, which may be one of the reasons that the infection is difficult to cure. This is consistent with the findings of Zhou et al. and indicates the reliability of our new model. Second, the intrinsic net growth rate of SSs can be chosen as the adjustment parameter, which can effectively exploit or avoid the strong correlation between SSs and the two resistant subpopulations, including NRSs and GRSs. Third, unlike unidirectional cascades, additional intrinsic noise in GRSs can propagate to NRSs. Similarly, although there is no direct interaction between SSs and GRSs, additional intrinsic noise in GRSs can propagate to SSs, and vice versa. Finally, both total noise and adjusted noise exhibit similar amplification properties in this population. It is worth noting that the noise is consistently amplified from NRSs to GRSs. These findings may provide new insights into antimicrobial therapy.
Existence and stability of steady-state bifurcations in a prey–predator system with a nonmonotonic functional response
Authors: Farshid M. , Jalilian Y.
Published: February 2024

A cross-diffusion prey–predator system exhibiting the prey group defense under homogeneous Neumann boundary conditions is studied. By considering the diffusive rate of the prey as a bifurcation parameter, we investigate sudden changes in the population dynamics of the prey and predator which can have a substantial effect on population size of the species. First a priori estimate for positive steady states is obtained. Next we prove the existence of a pitchfork bifurcation of positive steady states at a simple eigenvalue. The structure of the global steady-state bifurcation is discussed. We also investigate the stability of the trivial solution line and nontrivial steady-state solutions via the eigenvalue perturbation theory. To illustrate our theoretical results some numerical simulations are given. Numerical examples contain a supercritical and a subcritical pitchfork bifurcation.
Automorphisms and subdivisions of Helly graphs
Authors: Haettel Thomas
Published: February 2024

In this paper, we study Helly graphs of finite combinatorial dimension, i.e. whose injective hull is finite-dimensional. We describe very simple fine simplicial subdivisions of the injective hull of a Helly graph, following work of Lang. We also give a very explicit simplicial model of the injective hull of a Helly graph, in terms of cliques which are intersections of balls.

We use these subdivisions to prove that any automorphism of a Helly graph with finite combinatorial dimension is either elliptic or hyperbolic. Moreover, every such hyperbolic automorphism has an axis in an appropriate Helly subdivision, and its translation length is rational with uniformly bounded denominator.
On ϕ-S-1-absorbing δ-primary superideals over commutative super-rings
Authors: Jaber Ameer
Published: February 2024

Let [Formula: see text] be a commutative super-ring with unity [Formula: see text] and let [Formula: see text] be the set of all superideals of [Formula: see text]. Let [Formula: see text] be a reduction function of superideals of [Formula: see text] and let [Formula: see text] be an expansion function of superideals of [Formula: see text]. We recall that a proper superideal [Formula: see text] of [Formula: see text] is called a [Formula: see text]-1-absorbing [Formula: see text]-primary superideal of [Formula: see text], if whenever [Formula: see text] for some nonunit elements [Formula: see text], then [Formula: see text] or [Formula: see text]. In this paper, we introduce a new class of superideals that is a generalization to the class of [Formula: see text]-1-absorbing [Formula: see text]-primary superideals. Let [Formula: see text] be a multiplicative subset of the subset [Formula: see text] of the homogeneous elements such that [Formula: see text] and let [Formula: see text] be a proper superideal of [Formula: see text] with [Formula: see text], then [Formula: see text] is called a [Formula: see text]-[Formula: see text]-1-absorbing [Formula: see text]-primary superideal of [Formula: see text] associated to [Formula: see text] if whenever [Formula: see text] for some nonunit elements [Formula: see text], then [Formula: see text] or [Formula: see text]. In this paper, we have presented a range of different examples, properties and characterizations of this new class of superideals.
Skew π-Baer polynomial rings
Authors: Mehralinejadian Somaye , Moussavi Ahmad , Sahebi Shervin
Published: February 2024

A ring [Formula: see text] with an automorphism [Formula: see text] and a [Formula: see text]-derivation [Formula: see text] is called [Formula: see text]-[Formula: see text]-Baer (respectively [Formula: see text]-Baer) if the right annihilator of every projection invariant [Formula: see text]-left ideal (respectively left ideal) of [Formula: see text] is generated by an idempotent, as a right ideal. We study the relationship between the [Formula: see text]-[Formula: see text]-Baer (respectively [Formula: see text]-Baer) property of a ring [Formula: see text] and those of the skew polynomial ring [Formula: see text], skew inverse power series rings [Formula: see text] and the skew inverse Laurent series ring [Formula: see text]. Examples are provided to illustrate and delimit the theory.
Lyapunov-type inequalities for Hilfer fractional boundary value problems
Authors: Jonnalagadda Jagan Mohan
Published: February 2024

This paper deals with fractional boundary value problems involving the Hilfer–Hadamard fractional differential operator of order [Formula: see text] and type [Formula: see text]. We derive the corresponding Lyapunov-type inequalities for two prominent classes of Hilfer–Hadamard fractional boundary value problems (HFBVPs) involving separated and anti-periodic boundary conditions. For this purpose, we construct the associated Green’s functions and deduce their important properties.
Screen almost semi-invariant lightlike submanifolds of indefinite Kaehler manifolds
Authors: Kazan Sema , Yildirim Cumali
Published: February 2024

In this paper, we introduce screen almost semi-invariant (SASI)-lightlike submanifolds of indefinite Kaehler manifolds. We obtain the necessary and sufficient condition for the induced connection to be a metric connection on SASI-lightlike submanifolds and construct an example for this manifold. Also, we find some conditions for integrability of distributions and investigate certain characterizations.
On the cyclic inverse monoid on a finite set
Authors: Fernandes Vítor H.
Published: February 2024

In this paper, we study the cyclic inverse monoid [Formula: see text] on a set [Formula: see text] with [Formula: see text] elements, i.e. the inverse submonoid of the symmetric inverse monoid on [Formula: see text] consisting of all restrictions of the elements of a cyclic subgroup of order [Formula: see text] acting cyclically on [Formula: see text]. We show that [Formula: see text] has rank [Formula: see text] (for [Formula: see text]) and [Formula: see text] elements. Moreover, we give presentations of [Formula: see text] on [Formula: see text] generators and [Formula: see text] relations and on [Formula: see text] generators and [Formula: see text] relations. We also consider the remarkable inverse submonoid [Formula: see text] of [Formula: see text] constituted by all its order-preserving transformations. We show that [Formula: see text] has rank [Formula: see text] and [Formula: see text] elements. Furthermore, we exhibit presentations of [Formula: see text] on [Formula: see text] generators and [Formula: see text] relations and on [Formula: see text] generators and [Formula: see text] relations.
Characterization and stability of multi-additive-quadratic-cubic mappings
Authors: Bodaghi Abasalt , Rahpeyma Omid Pourbahri , Mazdarani Maryam
Published: February 2024

In this work, we introduce a system of additive, quadratic and cubic functional equations (somewhat different from what has been defined by Bodaghi and Rassias) which defines the multi-additive-quadratic-cubic mappings and then unify and characterize such mappings as a single equation without the quadratic condition. Moreover, by using a fixed point theorem, we establish the Găvruţa stability of the multi-additive-quadratic-cubic mappings in the setting of Banach spaces. As few known results, we prove the Hyers stability for multi-additive, multi-quadratic and multi-cubic mappings.
Sufficient optimality, duality and saddle point analysis in terms of convexificators for nonsmooth robust fractional interval-valued optimization problems
Authors: Kummari Krishna , Jaichander Rekha R. , Ahmad Izhar
Published: February 2024

In this study, sufficient optimality criteria for a robust fractional interval-valued optimization problem (RP) is highlighted based on the idea of convexificators. The use of generalized invexity tools to support sufficient optimality conditions is demonstrated by an example. Also, saddle point condition of a Lagrange function is examined for RP. Furthermore, Mond–Weir-type robust dual model is constructed and by employing the concept of generalized invexity, usual duality results are discussed.
On ℤ-graded Clifford semirings
Authors: Das Sumanta
Published: February 2024

In this paper, we introduce [Formula: see text]-graded Clifford semiring and discuss the basic notion and classical properties of [Formula: see text]-graded Clifford semiring. Also, we prove that Leavitt path algebra over a commutative Clifford semiring [Formula: see text] is a [Formula: see text]-graded [Formula: see text]-semialgebra.
Estimation of constitutive parameters for shape memory polymer thermo-mechanical cycle by an integrated simulation and inverse optimization method
Authors: Zhou Rui , Yue Yang , Yang Li , Zhang Fangfang
Published: February 2024

In this work, a method for inverse optimization of shape memory polymer material parameters is proposed to determine the intrinsic model parameters more quickly and accurately for simulated experimental test analysis. First, the basic mechanical properties of the material are characterized experimentally and the parameters of the generalized Maxwell model based on SMP material are fitted. Then, a joint simulation inversion optimization method is built in the ISIGHT-MATLAB-ABAQUS integrated environment to optimize the time domain Prony series parameters using downhill simplex optimization algorithm. The results show that the average errors of the stress curves before and after the optimization of the cooling solid phase and the experimental results are 0.31 MPA and 0.23 MPA, respectively, and the average errors of the strain curves in the warming recovery phase are 1.70% and 0.40%, respectively. After the inversion optimization, the average errors of the stress curves are optimized by 25.8% and the average errors of the strain curves are optimized by 76.5%. This method makes the simulation results more stable with the experimental results, which can effectively reduce the experimental cost and promote the shape memory property of SMP to be widely used in engineering.
Generation of stable femtosecond pulses using MoS2−xSex as the saturable absorber in Er-doped fiber laser
Authors: Chen Jingxian , Hu Zhiwan , Xie Zhaoru , Huang Jie , Tao Lili
Published: February 2024

A new transition-metal dichalcogenide (Janus TMDs), molybdenum selenide sulfide (MoS[Formula: see text]Se[Formula: see text]), has attracted wide attention due to its unique and highly stable alloy structure, high carrier mobility and the ability to modulate the band gap based on composition. In this work, MoS[Formula: see text]Se[Formula: see text] nanosheets were prepared through liquid phase exfoliation and further prepared as a saturable absorber (SA). The nonlinear optical response was investigated by the homemade balanced twin-detector measurement system, revealing the potential of MoS[Formula: see text]Se[Formula: see text]-SA in ultrafast photonics. The SA devices exhibited good saturation absorption characteristics. By applying it to the Er-doped fiber laser, a stable mode-locked fiber laser based on MoS[Formula: see text]Se[Formula: see text]-SA was successfully achieved. The pulse width was measured to be 509 fs, with a spectral width of 6.33 nm and a maximum output power of 7.44 mW in the mode-locked state. This is the first reported instance of achieving mode-locking operation in the Er-doped fiber laser using MoS[Formula: see text]Se[Formula: see text]-SA, indicating its great potential for applications in ultrafast photonics.
Synergistic carbon coating of Ni-MOF on SiOx for high-performance lithium-ion batteries
Authors: Zhao Xinyu , Liu Yike , Zhang Yangyi , Lu Quan , Gao Tian , Su Mingru , Li Xiaowei , Liu Yunjian
Published: February 2024

Silicon oxides ([Formula: see text])-based anodes have been regarded as one of the most prospective candidate materials for lithium-ion batteries (LIBs) due to their high theoretical capacity. However, the inherent drawbacks of [Formula: see text] anodes, especially the severe volume expansion and the inferior [Formula: see text] kinetic properties, greatly limit their industrial promotion. Herein, we synthesized a dual-shell coating structural composite (denoted as [Formula: see text]@Ni-MOF@C) through a two-step process. The unique structure effectively mitigates the huge volume variation of [Formula: see text], which leads to unstable material interfaces and inferior [Formula: see text] kinetic characteristics. The as-prepared [Formula: see text]@Ni-MOF@C composite demonstrates an initial charge capacity of 799.2 mAh [Formula: see text] with an initial Coulombic efficiency (ICE) of 63.2%, and 515.6 mAh [Formula: see text] with a capacity retention of 78.3% after 450 cycles at 1 A [Formula: see text]. The dual-shell coating design can provide novel insights into other high-capacity anode materials suffering from large volume variations.
High-speed parallel segmentation algorithms of MeanShift for litchi canopies based on Spark and Hadoop
Authors: Xiong Hongyi , Wang Jianhua , Xiao Yiming , Xiao Fangjun , Huang Renhuang , Hong Licong , Wu Bofei , Zhou Jinfeng , Long Yongbin , Lan Yubin
Published: February 2024

The MeanShift algorithm is a nonparametric method based on gradient ascent and it can effectively handle complex variations in lychee orchard scenes as well as changes in lychee tree canopies due to its adaptability, multi-scale analysis capabilities, and robustness, making it widely used in the segmentation processing of drone-based remote sensing images of lychee orchards. However, due to the high computational complexity of the MeanShift algorithm, its performance in processing large-scale drone remote sensing images of lychee tree canopies is not highly efficient, leading to low segmentation efficiency, which hampers its broader application. To address these issues, this study proposes high-speed MeanShift parallel segmentation algorithms for drone remote sensing images of lychee tree canopies based on MapReduce and Spark distributed computing frameworks. In this study, a cluster consisting of four nodes with Hadoop and Spark was set up, and 4000 drone remote sensing images were used as test data to evaluate the algorithm. Experimental results show that, the MeanShift algorithm based on MapReduce reduced the task execution time by 86.1% compared to the traditional MeanShift algorithm, while the MeanShift algorithm based on Spark reduced the task execution time by 88.0%, without compromising segmentation accuracy. The MeanShift parallel segmentation algorithm based on Hadoop and Spark platform can overcome the bottleneck of task execution efficiency and significantly enhance computational speed on a single machine.
CLIMATE RISKS AND PREDICTABILITY OF COMMODITY RETURNS AND VOLATILITY: EVIDENCE FROM OVER 750 YEARS OF DATA
Authors: NEL JACOBUS , GUPTA RANGAN , WOHAR MARK E. , PIERDZIOCH CHRISTIAN
Published: February 2024

We analyze whether metrics of climate risks, as captured primarily by changes in temperature anomaly and its stochastic volatility (SV), can predict returns and volatility of 25 commodities, covering the overall historical period of 1258 to 2021. To this end, we apply a higher-order nonparametric causality-in-quantiles test to not only uncover potential in-sample predictability in the entire conditional distribution of commodity returns and volatility but also to account for nonlinearity and structural breaks which exist between commodity returns and the metrics of climate risks. We find that, unlike in the misspecified linear Granger causality tests, climate risks do predict commodity returns and volatility, though the impact on the latter is stronger, in terms of the coverage of the conditional distribution. Insights from our findings can benefit academics, investors, and policymakers in their decision-making.
Peristaltic mechanism of Ellis fluid with viscous dissipation and thermal radiation induced by cilia wave
Authors: Channakote Mahadev M. , Siddabasappa C. , Tripathi D.
Published: February 2024

Bioheat transfer analysis in tissue has attracted the attention of numerous researchers due to its widespread potential applications in the medical field, mainly in thermotherapy and the human thermoregulation system. Also, temperature regulation of the human body primarily occurs through bioheat transfer. Due to the widespread biomedical applications of bio-heat transfer, we aim to investigate the movement of biofluid and bioheat in human organs with the influences of thermal radiation and ciliary waves. The mathematical model for Ellis fluid flow through a tube includes the metachronal wave of cilia motion and convective conditions. The governing equations are created based on mass, momentum conservation, and energy. The current problem is displayed and exact solutions are managed under long wavelength [Formula: see text] and low Reynolds number [Formula: see text] approximations. An analytical approach is employed to derive expressions for longitudinal velocity, temperature, pressure gradient, and stream function as a function of the parameters of the problem. The physical behavior of the peristaltic motion of the Ellis fluid is explained in detail and illustrated graphically for various parameter values. The results of the current study provide potential information for advancement in the biomedical industry, particularly in the development of biomedical devices and processes.
Analysis of aerodynamic forces and flow development with the size of square cylinders arranged in equilateral triangle
Authors: Fezai Salwa , Oueslati Fakher , Ben-Beya Brahim
Published: February 2024

A two-dimensional in-house code is used to scrutinize the influence of the arrangement of three cylinders and their corresponding dimensions on the behavior of flow around square cylinders arranged in four different combinations. Three square cylinders, C1, C2 and C3, are arranged in an equilateral triangle with the first cylinder C1 positioned upstream while the two remaining cylinders are placed side-by-side downstream. The wake flow patterns, aerodynamic forces and Strouhal number (St) are determined and analyzed for the four-cylinder arrangements in terms of streamlines, iso-vortices and drag and lift coefficients evolutions for steady and unsteady regimes. The numerical outcomes demonstrate that Re values, the different equilateral-triangular arrangements of cylinders, and the dimension variations of each square cylinder have a prominent influence on the flow characteristics.
A State of the Art on Sustainable Metal Working Fluids in Machining Applications
Authors: Yurtkuran Hakan , Günay Mustafa , Rai Ritu
Published: February 2024

Metalworking fluids (MWFs) play a crucial role in machining processes by lubricating and cooling cutting tools, reducing friction, and improving overall machining efficiency. These fluids can be classified into various types, including cutting oils, water-based fluids, and semi-synthetic or synthetic fluids. Cutting oils are often mineral-based, providing excellent lubrication in heavy-duty applications. Water-based fluids, on the other hand, are more environmentally friendly and commonly used in light to moderate machining operations. Semi-synthetic and synthetic fluids offer a balance between performance and eco-friendliness, incorporating additives to enhance their properties. Proper selection and management of MWFs are essential for optimizing tool life, surface finish, and overall productivity in metal machining applications. Research has shown that the cost of cutting fluid in machining constitutes 17% of the total production cost. In the same research, it was stated that the cutting tool cost was around 4%. This review provides an overview of the current advancements in sustainable MWFs within machining applications. It explores state-of-the-art technologies, formulations, and practices aimed at minimizing environmental impact while maintaining optimal performance in metalworking processes. The review encompasses eco-friendly additives, recycling methods, and emerging trends in the development of MWFs, emphasizing the importance of sustainable practices in the manufacturing industry.
Comprehensive Review of Noninvasive Brain-Computer Interfaces for Controlling Robotic Arms
Authors: Hamou Soukaina , Moufassih Mustapha , Tarahi Ousama , Agounad Said , Azami Hafida Idrissi , Mazid Anas
Published: February 2024

A robotic arm is a mechanical device with a given number of Degrees of Freedom (DoFs) that mimics the functions of a human arm and performs any desired task, such as grasping and moving objects. Current research is directed toward the design of robots and artificial human body parts controlled by brain signals, translating human thoughts into actions. Brain-Computer Interface (BCI) systems have been used to enable people with motor disabilities to control assistive robotic equipment that replaces the lost functions. This paper presents a review of the state-of-the-art of the latest papers dealing with the control of a robotic arm based on Electroencephalogram (EEG). A comparative study of the different methods and techniques used in different blocks of the robotic arm’s noninvasive BCI controlling system is conducted. These blocks include signal acquisition using noninvasive electrodes, signal preprocessing, feature extraction, classification, and command. Additionally, this paper presents a performance comparison of the reviewed controlling systems of robotic arms using EEG signals.
Reducing Gait Asymmetry in Transfemoral Amputees — A Neural Network-Based Approach
Authors: Kibria Zunaed , Kotamraju Bhanu Prasad , Commuri Sesh
Published: February 2024

Gait asymmetry between intact and prosthetic limbs is one of the factors that affect the long-term health of an amputee. Existing prosthetic devices have fixed controllers that cannot adapt to changes in user gait, thereby contributing to this asymmetry. In this paper, we use the stance period of both limbs to measure the asymmetry in gait. We propose a neural network-based control strategy that can adapt to changing gait in real time and help achieve near-natural gait.
An MRI-Conditional Flexible Endoscopic Robot with a Hydraulic Tendon-Driven Actuation System
Authors: Qi Boshen , Chen Hengjie , Langley Jason , Badie Behnam , Hu Xiaoping , Sheng Jun
Published: February 2024

This paper presents the conceptualization, mathematical modeling, and experimental validation of a magnetic resonance imaging (MRI)-conditional, flexible endoscopic robot for MRI-guided neurosurgery. The robotic assembly encompasses a straight rigid shaft, a tendon-driven steerable tip with two degrees of freedom, and a compact hybrid actuation system made of nonmagnetic modules. The robot’s small diameter, approximately 3 mm, allows for robot navigation through narrow cavities, such as nasal passages and the densely packed anatomy of the skull base. By filling the robot with deionized water, the MRI contrast of the robot can be improved, therefore enabling intra-operative tracking of the robot’s movement. In this paper, we present the design and fabrication process of the robotic system, kinematic analysis of the robot, and experimental studies to validate our model, characterize the robot, and test the feedback robot control. Furthermore, we demonstrate the MRI compatibility of the robot, along with the intra-operative tracking capability.
Introduction to 3D Deep Learning
Authors: Yang Xulei , Li Xiao , Su Hao
Published: February 2024

3D deep learning, i.e., deep learning with 3D data, has been attracting increasing attention due to its tremendous research values and broad real-world applications. In this paper, we first provide an overview of 3D data, its unique characteristics, and the challenges associated, as well as the wide range of applications of 3D data in various fields. We then introduce the fundamentals of 3D deep learning, including the basic concepts, the key technical challenges, the recent developments, and the emerging real-world applications of 3D deep learning.
eDiGS: Extended Divergence-Guided Shape Implicit Neural Representation for Unoriented Point Clouds
Authors: Ben-Shabat Yizhak , Koneputugodage Chamin Hewa , Gould Stephen
Published: February 2024

In this paper, we propose a new approach for learning shape implicit neural representations (INRs) from point cloud data that do not require normal vectors as input. We show that our method, which uses a soft constraint on the divergence of the distance function to the shape’s surface, can produce smooth solutions that accurately orient gradients to match the unknown normal at each point, even outperforming methods that use normal vectors directly. This work extends the latest work on divergence-guided sinusoidal activation INRs [Y. Ben-Shabat, C. H. Koneputugodage and S. Gould, Proc IEEE/CVF Conf Computer Vision and Pattern Recognition, 2022, pp. 19323–19332], to Gaussian activation INRs and provides extended theoretical analysis and results. We evaluate our approach on tasks related to surface reconstruction and shape space learning.
A Comparative Study of Machine Learning Algorithms Using Explainable Artificial Intelligence System for Predicting Liver Disease
Authors: Nilofer A. , Sasikala S.
Published: February 2024

Artificial Intelligence (AI) has become increasingly integral to healthcare, aiding medical professionals in disease diagnosis. However, a critical challenge faced by practitioners lies in the trustworthiness of diagnosed results, as machine learning models often lack transparent explanations for their predictions. Explainable AI (XAI) addresses this, allowing practitioners and patients to comprehend and trust outcomes. This study employs the liver disease patient dataset to predict liver disease, vital in India where yearly, 10 lakh people face new liver cirrhosis diagnoses with high mortality. Early detection difficulties underscore the need for transparent predictions. Using Kaggle data, Random Forest, XGBoost, and Explainable Boosting Machine (EBM) classifiers are compared, with EBM outshining, achieving a 99.8% accuracy score. The study concludes that the EBM classifier is a superior and transparent liver disease predictor.
ε-Insensitive Least Squares Support Vector Regression with Sequential Minimal Optimization
Authors: Karal Omer
Published: February 2024

The [Formula: see text]-insensitive-Least Squares Support Vector Regression ([Formula: see text]-LSSVR) optimization problem with [Formula: see text]-insensitive quadratic loss function is a non-smooth, piecewise quadratic complex problem. Therefore, the optimal solution of [Formula: see text]-LSSVR takes longer than Classic LSSVR. Additionally, due to its unbounded influence function, [Formula: see text]-LSSVR, like classical LSSVR, shows poor generalization ability in the presence of outliers. To overcome the above-mentioned drawbacks, this paper presents an [Formula: see text]-insensitive Weighted Least Squares Support Vector Regression ([Formula: see text]-WLSSVR) with equality constraints to increase robustness against outliers. To reduce the computational complexity and time, the optimization problem of [Formula: see text]-WLSSVR is solved by the Sequential Minimal Optimization (SMO) algorithm. Extensive simulations have shown that the presented [Formula: see text]-WLSSVR model combined with the SMO algorithm is more effective and efficient than LSSVR and its known sparse variants.
The First 10 Volumes of SIGLOG News: a retrospective
Authors: Gorla Daniele
Published: February 2024

In July 2014, the first issue of SIGLOG News appeared; so, its official 10th anniversary will be celebrated next summer. In the next pages, I will provide a short retrospective on the first 10 volumes of the publication, that is, on the first 38 issues that appeared so far.
Quality Leadership and Management, Technology-Based Instruction, Work Attitude and Teachers’ Performance in the New Normal
Authors: Jimeno Jiesrel B. , Prado Nenita I
Published: February 2024

The study is a causal model development of the quality leadership and management level, technology-based Instruction, and work attitude on teachers' performance in the new normal. The descriptive–correlational, causal–comparative research design was employed using a modified researcher survey instrument. It was conducted in Bangkok Metropolitan Region, Bangkok, Thailand, with Adventist Filipino teachers. The data collected from the questionnaires and Google forms were examined and interpreted using the frequency count and percent, mean and standard deviation, Pearson Product - Moment Correlation, multiple regression, and path analysis. The quality leadership and management level indicated that Adventist Filipino teachers have a good working relationship with the school director/Department head/Coordinator and their co-teachers. Adventist Filipino Teachers have a very high positive attitude to technology and use it for Instruction. Teachers' work attitude indicates a high good character in all sub-variables. The Adventist Filipino teachers' performance is outstanding and commendable. A positive relationship exists between teachers' performance and quality leadership management, technology-based Instruction, and work attitude. The best-fitting model is anchored on quality leadership, management, and teacher work attitude.
A century of Achilixiidae Muir, 1923 (Hemiptera: Auchenorrhyncha: Fulgoromorpha): taxonomic study of the genus Bebaiotes Muir, 1924 and description of eight new species from Brazil
Authors: VIEGAS EDUARDA FERNANDA GOMES , ALE-ROCHA ROSALY
Published: February 2024

We describe the first species of Achilixiidae from Brazil with representatives of Bebaiotes. Eight new species of Bebaiotes Muir, 1924 were described viz. Bebaiotes amazonica sp. nov. (Amazonas, Pará, Rondônia and Roraima); Bebaiotes bia sp. nov. (Acre); Bebaiotes dichromata sp. nov. (Amazonas); Bebaiotes macroptera sp. nov. (Amazonas and Amapá); Bebaiotes parallela sp. nov. (Amazonas); Bebaiotes pennyi sp. nov. (Amazonas and Maranhão); Bebaiotes tigrina sp. nov. (Amazonas); Bebaiotes wilsoni sp. nov. (Amazonas). In addition, four species were revised, and their distribution expanded: Bebaiotes banksi (Metcalf, 1938) (Brazil–Amazonas and Pará; Panamá); Bebaiotes dorsivittata Fennah, 1947 (Brazil–Amapá, Amazonas, Pará, Rondônia and Roraima; Ecuador; Peru; Bebaiotes guianesus (Fennah, 1947) (Brazil–Amazonas; Guiana); Bebaiotes pulla Muir, 1934 (Brazil–Acre and Amazonas; Ecuador). Additionally, an identification key to males and females of the species is provided.
Revision of Neotropical wolf spider genus Arctosa C.L. Koch, 1847 (Araneae: Lycosidae), with description of seven new species
Authors: PAREDES-MUNGUÍA WILLIAMS , BRESCOVIT ANTONIO D. , TEIXEIRA RENATO A.
Published: February 2024

The genus Arctosa C.L. Koch is redescribed and diagnosed. Seven new species are described, four of them based on both sexes (A. conflicta sp. nov., A. costenola sp. nov., A. jibarosa sp. nov. and A. villa sp. nov.), two only on females (A. ayaymama sp. nov. and A. mineira sp. nov.), and one only on the male (A. pacaya sp. nov.). We also propose the transference of Arctosa humicola (Bertkau, 1880) and Arctosa fusca (Keyserling, 1877) to Trochosa C.L. Koch, 1847, and the new synonymy of Arctosa inconspicua (Bryant, 1948) with Trochosa humicola (Bertkau, 1880) comb. nov. Besides, Arctosa andina (Chamberlin, 1916) and Arctosa pugil (Bertkau, 1880) are transferred to Hogna Simon, 1885, and Arctosa aussereri (Keyserling, 1877) to Prolycosides Mello-Leitão, 1942. Additionally, eight lycosid species are synonymized with Prolycosides aussereri: Schizocosa proletaria (Tullgren, 1905); Arctosa workmani (Strand, 1909); Hogna planithoracis (Mello-Leitão, 1938); Hogna variolosa (Mello-Leitão, 1941); Megarctosa melanostoma (Mello-Leitão, 1941); Hippasosa huachoi (Mello-Leitão, 1942); Pirata abalosi (Mello-Leitão, 1942); and Pirata soukupi (Mello-Leitão, 1942). We also transfer Trochosa tenebrosa Keyserling, 1877 to Arctosa. The males of Arctosa tenebrosa (Keyserling, 1877) comb. nov. and Trochosa humicola (Bertkau, 1880) comb. nov. are described for the first time.
Predict the characteristics of diesel engine using glycine max oil biofuel
Authors: Suresh Boorneni , Meshram Kundan , Dasore Abhishek , Rajak Upendra , Chaurasiya Prem Kumar , Verma Tikendra Nath
Published: February 2024

Significant research is devoted to the transformation of Glycine max oil (soybean oil) into biofuel. An exhaustive investigation into the performance, combustion and emission analyses of glycine max oil biofuel (GMOB) in the context of optimization studies involving variable engine factors such as load, injector timing and so forth, has yet to occur. This study endeavors to fill the gap in the academic literature regarding comprehensive engine investigations of GMOB. In this study, five distinct mixtures of GMOBs are combined with diesel: DS1—0% biofuel with 100% diesel, DS2—5% biofuel with 95% diesel, DS3—20% biofuel with 80% diesel, DS4—40% biofuel with 60% diesel and DS5—100% biofuel and 0% diesel. Using standard ASTM limits, the properties of the biodiesel samples were evaluated and confirmed (the kinematic viscosity at 40°C for GMOB is 4.6 mm2/s, whereas that of unadulterated diesel is 3.0 mm2/s). Utilizing the combustion, emission and performance characteristics of a compression ignition engine, the blend, load and injection timing (IT) were optimized. At 100% load, an upward trend in indicated thermal efficiency is observed for both diesel and biofuel blends. Furthermore, the volumetric efficiency of all biofuel blends was enhanced through the implementation of advanced IT (24.5° b TDC). Additionally, smoke emission is observed to increase by 18.5°–24.5° b TDC across all mixtures. Biofuel mixtures exhibit a negligible minimum rate of pressure increase per degree.