In this work, we study a hybrid quantum system composed of a quantum battery and a coherence-driven charger interacting with a Quantum Autonomous Thermal Machine (QATM). The QATM, made of two qubits each coupled to Markovian Bosonics thermal reservoirs at different temperatures, acts as a structured environment that mediates energy and coherence transfer between the charger and the battery. By presenting a coherent driving field on the charger, we investigate the coherence injection effect on the dynamics, including non-Markovianity, power of charging, coherence storage, and ergotropy. We show that the QATM effectively filters the decoherence induced by the thermal baths and induces non-Markovian memory effects due to correlation backflow. Our results demonstrate that coherence driving enhances the battery's ergotropy and power of charging by preserving the internal energy of the charger and facilitating coherent energy transfer.

We present a comprehensive study on Higgs pair production in various archetypical extended Higgs sectors such as the real and the complex 2-Higgs-Doublet Model, the 2-Higgs-Doublet Model augmented by a real singlet field and the Next-to-Minimal Supersymmetric extension of the Standard Model. We take into account all relevant theoretical and experimental constraints, in particular the experimental limits on non-resonant and resonant Higgs pair production. We present the allowed cross sections for Standard Model (SM)-like Higgs pair production and the ranges of the SM-like Yukawa and trilinear Higgs self-coupling that are still compatible with the applied constraints. Furthermore, we give results for the pair production of a SM-like with a non-SM-like Higgs boson and for the production of a pair of non-SM-like Higgs bosons. We find that di-Higgs production in the models under investigation can exceed the SM rate substantially, not only in the non-resonance region but also due to resonant enhancement. We give several benchmarks with interesting features such as large cross sections, the possibility to test CP violation, Higgs-to-Higgs cascade decays or di-Higgs production beating single Higgs production. In all of our benchmark points, the next-to-leading order QCD corrections are included in the large top-mass limit. For these points, we found that, depending on the model and the Higgs pair final state, the corrections increase the leading order cross section by a factor of 1.79 to 2.24. We also discuss the relation between the description of Higgs pair production in an effective field theory approach and in the specific models investigated here.

This systematic review examines how machine learning (ML) and deep learning (DL) have transformed forecasting, decision-making, and financial modelling, promoting innovation and efficiency in financial systems. Following PRISMA 2020 guidelines, we analyze 22 peer-reviewed and open-access articles (2024 to 2026) indexed in Scopus, applying ML and DL models across credit risk prediction, cryptocurrency, asset pricing, and macroeconomic policy modeling. The most used models include Random Forest, XG-Boost, Support Vector Machine, Long Short-Term Memory (LSTM), Bidirectional LSTM, Convolutional Neural Network (CNN), and hybrid or ensemble approaches combining statistical and AI methods. ML and DL techniques outperform traditional models by capturing nonlinear dependencies and enhancing predictive accuracy, while explainable AI methods (e.g., SHAP and feature importance analysis) improve transparency and interpretability. Emerging trends include cross-domain applications and the integration of responsible AI in finance. Despite notable progress, challenges remain in interpretability, generalizability, and data quality. Overall, this review provides a comprehensive overview of AI-driven computational finance and outlines future research directions.

We consider reflected generalized backward doubly stochastic differential equations driven by a non-homogeneous Lévy process. Under stochastic conditions on the coefficients, we prove the existence and uniqueness of a solution. Furthermore, we apply these results to obtain a probabilistic representation for the viscosity solutions of an obstacle problem governed by stochastic integro-partial differential equations with a nonlinear Neumann boundary condition.

This paper presents a novel approach in wildfire prediction through the integration of multisource spatiotemporal data, including satellite data, and the application of deep learning techniques. Specifically, we utilize an ensemble model built on transfer learning algorithms to forecast wildfires. The key focus is on understanding the significance of weather sequences, human activities, and specific weather parameters in wildfire prediction. The study encounters challenges in acquiring real-time data for training the network, especially in Moroccan wildlands. The future work intends to develop a global model capable of processing multichannel, multidimensional, and unformatted data sources to enhance our understanding of the future entropy of surface tiles.

In this paper, we examine the consistency of the Large Hadron Collider (LHC) data collected during Run 1 and 2 by the ATLAS and CMS experiments with the predictions of a 2-Higgs Doublet Model (2HDM) embedding Vector-Like Quarks (VLQs) for $pp \to H,A$ production and $H,A\to\gamma\gamma$ decay mechanisms, respectively, of (nearly) degenerate CP-even ($H$) and CP-odd ($A$) Higgs bosons. We show that a scenario containing one single VLQ with Electro-Magnetic (EM) charge $2/3$ can explain the above ATLAS and CMS data for masses in the region 350 GeV $\leq m_{\rm VLQ}\leq 1.5$ TeV or so, depending on $\tan\beta$, and for several values of the mixing angle between the top quark ($t$) and its VLQ counterpart ($T$).We then perform a global fit onto the model by including all relevant experimental as well as theoretical constraints. The surviving samples of our analysis are discussed within 2$\sigma$ of the LHC measurements. Additionally, we also comment on the recent anomalous result reported by CMS using Run 2 data on the associated Standard Model (SM) Higgs boson production with top quark pairs $pp\to t\bar th$ with an observed significance of 3.3$\sigma$. Other than these specific examples, we also present a phenomenological analysis of the main features of the model, including the most promising $T$ decay channels.

We study the discovery potential for a light Higgs boson via $gg \to H_{\text{SM-like}} \to hh \to b\bar{b}\gamma\gamma$ process at the Large Hadron Collider (LHC). Focusing on the 2-Higgs Doublet Model (2HDM) Type-I, which can accommodate light neutral Higgs states, of $\mathcal{O}(100)$ GeV or less in mass, while agreeing with theoretical and up-to-date experimental constraints, we explore the feasibility of a light CP-even Higgs state $h$ via the largely unexplored final state $b\bar{b}\gamma\gamma$ at Run-3 of the LHC. We further propose a few Benchmark Points (BPs) for future searches.

In this contribution, two versions of teleportation protocol are considered, based on either using a single or two copies of entangled atom-field state, respectively. It is shown that, by using the first version, the fidelity of the teleported state as well as the amount of quantum Fisher information, that contains in the teleported state, are much better than using the second version. In general, one may increases the fidelity of teleported information by increasing the mean photon number and decreasing the detuning parameter. The fidelity of teleporting classical information is much better than teleporting quantum information. Moreover, teleportating classical information that initially encoded in an exited states is much better than that encodes in the ground states. However, the teleported Fisher information that initially encoded in a ground state is much larger than those initially encoded in entangled states.

We present a theoretical investigation of entanglement generation in an external quantum system interacting with a quantum autonomous thermal machine (QATM) under a non-Markovian dynamics. Indeed, the QATM is composed of two non-coupled qubits. Each qubit is coupled to an independent thermal reservoir, where each reservoir interacts with an external system of two additional non-coupled qubits. By analyzing the Hilbert space structure, energy level configurations, and temperature gradients, we define two thermodynamic cycles, namely A and B, governed by virtual temperatures and energy-conserving transitions. We demonstrate that the QATM can act as a structured reservoir able to induce non-Markovian memory effects. In fact, the non-Markovian dynamics is highlighted basically for negative entropy production rates. However, by quantitatively measuring the mutual information and concurrence, we show that the entanglement is generated only in cycle A, supported by the non-Markovian dynamics and strong presence of entanglement. Hence, we conclude that our results using feasible experimental parameters demonstrate that temperature differences, Hilbert space structure and coherence can be used as good quantum resources for controlling and boosting entanglement in quantum thermodynamic settings.

The paper explores the transformation of port logistics operations with artificial intelligence during the port transformation into a smart port. The research integrates capabilities-based resource analysis and dynamic capabilities with sociotechnicalimplementations of technologies and resilience approaches of complex systems under disruptions. The system applies robustdata infrastructures to propel analytical and AI modules that become effective once integrated with sufficient governance systems and trained personnel and operational processes to transform planning and safety and sustainability this http URL applies Scopus bibliometric research to analyze 123 articles using a systematic approach with both a search protocol and a document screening and duplication verification. It incorporates annual behavior and distribution of author and country performance analysis with science mapping techniques that explore keyword relation and co-citation and bibliographic coupling and conceptual structuring tools that construct thematic maps and multiple correspondence analysis with community detection while applying explicit thresholding and robust this http URL research connects AI applications to smart port domains through specific data-to-impact pathways while providing a method for bibliometric analysis that enables future updates. The research presents a step-by-step approach for data readiness followed by predictive and optimization implementation and organizational integration. The paper supports public policy through recommendations for data sharing standards and complete environmental benefit assessments. The research proposes a future study plan whichcombines field-based testing with multiple port assessments to enhance both cause-effect understanding and research applicability.

The purpose of this study was to explore Moroccan pre-service elementary teachers' attitudes toward integrated science, technology, engineering, and mathematics (STEM) education and the use of mobile devices in integrated STEM education. The research sample was selected using convenience sampling. Data were collected from 226 pre-service teachers in the Bachelor of Education Elementary Specialty (BEES) using a 28-item questionnaire. The validity of the items was tested by factor analysis using the extraction method of principal component analysis with varimax rotation. Reliability tests for the different constructs were conducted by calculating Cronbach's alpha. Frequency, mean, standard deviation and Mann-Whitney tests were used to analyze the data. The results revealed that pre-service elementary teachers have generally neutral attitudes toward integrated STEM education, and they also showed that pre-service teachers' attitudes toward integrated STEM education do not depend on gender or grade level. However, these attitudes are dependent on pre-university studies. Pre-service teachers with a scientific background have significantly more positive attitudes toward integrated STEM education than their counterparts with a literary background. Furthermore, the results of this study also revealed that pre-service teachers have positive attitudes toward the use of mobile devices in integrated STEM education, and these attitudes are not dependent on gender, grade level, or pre-university studies.

We study the most popular scalar extension of the Standard Model, namely the Two Higgs doublet model, extended by a complex triplet scalar (2HDMcT). Such considering model with a very small vacuum expectation value, provides a solution to the massive neutrinos through the so-called type II seesaw mechanism. We show that the 2HDMcT enlarged parameter space allow for a rich and interesting phenomenology compatible with current experimental constraints. In this paper the 2HDMcT is subject to a detailed scrutiny. Indeed, a complete set of tree level unitarity constraints on the coupling parameters of the potential is determined, and the exact tree-level boundedness from below constraints on these couplings are generated for all directions. We then perform an extensive parameter scan in the 2HDMcT parameter space, delimited by the above derived theoretical constraints as well as by experimental limits. We find that an important triplet admixtures are still compatible with the Higgs data and investigate which observables will allow to restrict the triplet nature most effectively in the next runs of the LHC. Finally, we emphasize new production and decay channels and their phenomenological relevance and treatment at the LHC.

Charged Higgs bosons are common predictions in most extensions of the Standard Model (SM) Higgs sector. Therefore, their observation would elucidate the nature of the Higgs sector. Motivated by the ATLAS collaboration's latest analysis performed with $139~\text{fb}^{-1}$ of Run 2 data intended to search for charged Higgs boson, produced in top quark decay and subsequently decaying via $H^\pm \rightarrow cb$, where an excess with a local significance of $3\sigma$ is observed at $m_{H^\pm} = 130~\rm{GeV}$, we discuss here the possibility of explaining such excess in the context of the general 2-Higgs Doublet Model (2HDM type-III), after satisfying all theoretical and up-to-date experimental constraints. We also propose phenomenological scenarios to further explore the mass region around 130 GeV in the four Yukawa types of the 2HDM type-III and suggest alternative decay channel $H^\pm \rightarrow cs$ and/or $H^\pm \rightarrow W^{\pm *}h$ to probe the nature of the observed excess (if it is not a statistical fluctuation). Future searches for $H^\pm$ will be critical in confirming or refuting the first hint of a light charged Higgs boson at the LHC.

AI has become one of the most influential research areas over the past decade, with growing applications across multiple disciplines. In management studies, artificial intelligence is increasingly recognized as a driver of innovation, sustainability, and decision-making support. This bibliometric study examines the evolution of AI-related research in management between 2021 and 2025. Data were collected from the Scopus database and analyzed using the Bibliometrix R package, with visualizations generated through VOSviewer. The dataset consisted of 5,624 documents filtered by subject area, document type, and language. The analysis included annual scientific production, country and institutional contributions, leading journals, co-authorship networks, keyword co-occurrence, and thematic mapping. Results reveal a strong increase in publications from 2021 to 2024, followed by a decline in 2025. China, India, and the United States lead in publication output, while the United Kingdom shows higher citation impact. Thematic analysis indicates a shift from technical applications of AI to broader concerns such as sustainability, digital transformation, and decision-making processes. These findings highlight a changing landscape in AI research within management, where technological innovation, social responsibility, and organizational performance converge to shape future directions.

Recently, magnomechanical systems have emerged as promising platforms for quantum technologies, exploiting magnon-photon-phonon interactions to store high-fidelity quantum information. In this paper, we propose a scheme to entangle two spatially separated ferrimagnetic YIG crystals by injecting a microwave field into an optomagnonic ring cavity. The proposed optomagnomechanical configuration utilizes the coupling between magnetostriction-induced mechanical displacements and the optical cavity via radiation pressure. Magnons - collective spin excitations in macroscopic ferromagnets - are directly driven by an electromagnetic field. We demonstrate the generation of macroscopic magnon entanglement by exciting the optical cavity with a red detuned microwave field and the YIG crystals with a blue detuned field. Our analysis reveals that magnon entanglement vanishes for identical magnomechanical couplings but remains robust against thermal fluctuations. The magnon modes entangled in two ferrimagnetic crystals represent genuine macroscopic quantum states with potential applications in the study of macroscopic quantum mechanics and quantum information processing based on magnonics. The configuration is based on experimentally accessible parameters, providing a feasible route of quantum technologies.

We consider a one-reflected backward stochastic differential equation with a general RCLL barrier in a filtration that supports a Brownian motion and an independent Poisson random measure. We establish the existence and uniqueness of a solution in $\mathbb{L}^p$ for $p \in (1,2)$. The result is obtained by means of the penalization method, under the assumption that the coefficient is stochastically monotone with respect to the state variable $y$, stochastically Lipschitz with respect to the control variables $(z,u)$, and satisfies suitable linear growth and $p$-integrability conditions.

We investigate the phenomenology of the charged Higgs boson within the Two-Higgs-Doublet Type-II Seesaw Model (2HDMcT Type-III) at future $\mu^+ \mu^-$ colliders. Focusing on $2 \to 2$ processes such as $\mu^+ \mu^- \to H^+_1 S^-$ ($S^- = H^-_1, H^-_2$) and $\mu^+ \mu^- \to H^+_1 W^-$, we incorporate both theoretical and experimental constraints to assess their production prospects. We find that $\sigma(\mu^+ \mu^- \to H_1^+ H_1^-)$ can reach or exceed the corresponding $e^+ e^-$ cross section, while $\sigma(\mu^+ \mu^- \to H_1^+ H_2^-)$ is roughly eighteen times smaller but can be enhanced up to 0.62 fb upon relaxing electroweak precision observables constraints. Moreover, we observe that the cross section for $\mu^+ \mu^- \to H^+_1 W^-$ is significantly enhanced due to the large $\tan\beta$ amplification characteristic of the Type-III scenario. Furthermore, we conduct a signal-background analysis and determine the discovery ($5\sigma$) regions at a 3 TeV muon collider for the $\mu^+ \mu^- \to H_1^+ H_1^-$, $\mu^+ \mu^- \to H_1^+ H_2^-$, and $\mu^+ \mu^- \to W^\pm H_1^\mp$ processes.

We investigate the phenomenology of the charged Higgs boson at the International Linear Collider (ILC) within the framework of the type-X Two-Higgs Doublet Model (2HDM), where a light charged Higgs boson, with a mass around 200 GeV or even smaller than top quark mass, is still being consistent with flavor physics data as well as with the colliders experimental data. In the theoretically and experimentally allowed parameter space, the $e^+ e^- \to H^\pm W^\mp S$ (with $S = H, A$) production processes can yield signatures with event rates larger than those from $e^+ e^- \to H^+ H^-$ and offer sensitivity to the Higgs mixing parameter $\sin(\beta-\alpha)$. We consider the bosonic $H^\pm \to W^\pm S$ decays, where the neutral scalar $S$ further decays into a pair of tau leptons. We show, through a detector-level Monte Carlo analysis, that the resulting $[\tau\tau][\tau\tau] WW$ final state could be seen at the ILC with at least 500 GeV center-of-mass energy and 500 fb$^{-1}$ of luminosity.

Magnomechanical cavities offer a new frontier in quantum electrodynamics that give rise to several significant theoretical and experimental results. In this paper, we propose a novel theoretical mechanism for achieving a nonreciprocal macroscopic entanglement between magnons, photons and phonons, based on the use of an alternative squeezed magnons method. Indeed, in contrast to conventional approaches, we show how precise control of the amplitude and phase of the squeezed mode allows to obtain a tunable nonreciprocity of entanglement. The magnons resulting from the collective motion of the spin in a macroscopic ferrimagnet become coupled to the microwave photons via magnetic dipole interaction and to the phonons via magnetostrictive interaction. Moreover, we establish that the proposed scheme achieves ideal nonreciprocity, which can be optimized by cavity-magnon coupling and bath temperature control. Finally, by using the parameters that are experimentally feasible with current technologies, this work provides new perspectives for hybrid magnon-based quantum technologies.

We study the charging dynamics of a quantum battery coupled to a structured reservoir composed of two qubits, each in thermal equilibrium with its own bosonic bath. The structured reservoir interacts with a charger battery model through three distinct configurations: (I) direct coupling between the reservoir qubits and the battery, (II) common coupling between the reservoir qubits, the charger, and the battery, and (III) common coupling between the reservoir qubits and the charger, together with a local charger battery interaction. For both incoherent and coherent initial states, we analyze the stored energy, ergotropy, and charging power of the battery, and establish upper and lower bounds on the maximum extractable work of the battery based on the free energy of coherence, and exchanged correlations between the subsystems. Our results show that the nature of the interaction scenario and the presence of coherence crucially determine the efficiency of charging and the maximum ergotropy. We demonstrate that correlation exchange between subsystems, quantified by the difference between global and local coherence, acts as a resource for work extraction. These findings provide a deeper understanding of coherence and population and structured environments as resources for autonomous quantum batteries, and offer experimentally accessible predictions within the regime of superconducting qubits.