bluuebunny/crossref_metadata_2025 huggingface dataset:
Veterinary research as it so happened
Authors: Smith Geoffrey
Published: September 2023

Acting on ‘good advice and encouragement just when he needed it’ led Geoffrey Smith to try his hand at research. It is a decision he says he has never regretted; now he wants to encourage younger vets to embark on a similar career – one that benefits animals and people
Simultaneous intervention against oxidative stress and inflammation by targeting Nrf2/ARE and NLRP3 inflammasome pathway mitigates thioacetamide-induced liver fibrosis in rat
Authors: Dwivedi Durgesh Kumar , Sahu Chittaranjan , Jena G.B.
Published: September 2023

Liver fibrosis is a typical pathological state/stage involved in most chronic liver diseases and its persistence results in cirrhosis. Inflammasomes are cytoplasmic sensors that induce inflammation in response to stress. Glibenclamide (GLB) is an USFDA-approved drug for type 2 diabetes and is reported to possess anti-inflammatory activity by inhibiting inflammatory cytokines. Dimethyl fumarate (DMF) is an USFDA-approved drug for multiple sclerosis and has been reported to activate the Nrf2/ARE pathway to maintain the cellular antioxidant balance. A total of 36 rats were randomized into six groups ( n = 6 each). The rats were injected with thioacetamide (TAA) 200 mg/kg, intraperitoneally every third day for eight consecutive weeks to induce liver fibrosis and oral treatment of GLB 0.5 mg/kg/day and DMF 25 mg/kg/day, and their combinations were provided for the last four consecutive weeks. Treatment with GLB, DMF, and GLB+DMF significantly protected against TAA-mediated oxidative stress and inflammatory conditions by improving hepatic function test, triglycerides, hydroxyproline, and histopathological alterations, by inhibiting the NLRP3 inflammasome signaling and fibrogenic markers, and by activating Nrf2/ARE pathway in Wistar rats. The present results suggest that simultaneous Nrf2/ARE activation and NLRP3 inflammasome inhibition could significantly contribute to developing a novel therapy for patients with liver fibrosis.
Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation
Authors: Hu Junjie , Yu Chengrong , Yi Zhang , Zhang Haixian
Published: September 2023

Deep neural networks (DNNs) have emerged as a prominent model in medical image segmentation, achieving remarkable advancements in clinical practice. Despite the promising results reported in the literature, the effectiveness of DNNs necessitates substantial quantities of high-quality annotated training data. During experiments, we observe a significant decline in the performance of DNNs on the test set when there exists disruption in the labels of the training dataset, revealing inherent limitations in the robustness of DNNs. In this paper, we find that the neural memory ordinary differential equation (nmODE), a recently proposed model based on ordinary differential equations (ODEs), not only addresses the robustness limitation but also enhances performance when trained by the clean training dataset. However, it is acknowledged that the ODE-based model tends to be less computationally efficient compared to the conventional discrete models due to the multiple function evaluations required by the ODE solver. Recognizing the efficiency limitation of the ODE-based model, we propose a novel approach called the nmODE-based knowledge distillation (nmODE-KD). The proposed method aims to transfer knowledge from the continuous nmODE to a discrete layer, simultaneously enhancing the model’s robustness and efficiency. The core concept of nmODE-KD revolves around enforcing the discrete layer to mimic the continuous nmODE by minimizing the KL divergence between them. Experimental results on 18 organs-at-risk segmentation tasks demonstrate that nmODE-KD exhibits improved robustness compared to ODE-based models while also mitigating the efficiency limitation.
Numerical solution of Lock-exchange flow in a curved channel with an obstacle
Authors: Mohammadi Javad , Pirzadeh Bahareh , Azizyan Gholamreza , Abdollahi Azam
Published: September 2023

Gravity currents modify their flow characteristics in the presence of an obstacle. Also, the flow path to the dam reservoirs is not always direct. Since no studies have addressed the feedback between the hydrodynamics of a gravity current in a curved channel and the location effects of the obstacle, in this research, a Lock-exchange density current flows in a 120[Formula: see text] bending channel. The numerical simulation has been performed using OpenFOAM software. The models include no-obstacle curved channel and a curved channel with an obstacle in different positions concerning the increased radius of the curved channel. Results indicated that the obstacle directed the concentration towards the banks, with its maximum value tending from the outer to the inner bank, especially in the tail. The tail longitudinal velocity maximized near the channel bed in areas far from the obstacle, and in the outer bank in areas near it. The secondary flow reduces its lowest and most different pattern observed around the obstacle. In displacing the latter, if the front has at a certain distance, the secondary flow does not change much, but if it has at the channel end, the post-obstacle secondary flow would increase as the obstacle neared the Lock.
The categorical foundations of quantum information theory: Categories and the Cramer–Rao inequality
Authors: Ciaglia F. M. , Di Cosmo F. , González-Bravo L. , Ibort A. , Marmo G.
Published: September 2023

An extension of Cencov’s categorical description of classical inference theory to the domain of quantum systems is presented. It provides a novel categorical foundation to the theory of quantum information that embraces both classical and quantum information theories in a natural way, while also allowing to formalize the notion of quantum environment. A first application of these ideas is provided by extending the notion of statistical manifold to incorporate categories, and investigating a possible, uniparametric Cramer–Rao inequality in this setting.
Quantum forgery attacks against OTR structures based on Simon’s algorithm
Authors: Liu Wenjie , Wang Mengting , Li Zixian
Published: September 2023

Classical forgery attacks against Offset Two-round (OTR) structures require some harsh conditions, such as some plaintext and ciphertext pairs need to be known, and the success probability is not too high. To solve these problems, a quantum forgery attack on OTR structure using Simon’s algorithm is proposed. The attacker intercepts the ciphertext-tag pair [Formula: see text] between the sender and receiver, while Simon’s algorithm is used to find the period of the tag generation function in OTR, then we can successfully forge new ciphertext [Formula: see text] ([Formula: see text]) for intercepted tag [Formula: see text]. For a variant of OTR structure (Prøst-OTR-Even-Mansour structure), a universal forgery attack, in which it is easy to generate the correct tag of any given message if the attacker is allowed to change a single block in it, is proposed. It first obtains the secret parameter [Formula: see text] using Simon’s algorithm, then the secret parameter [Formula: see text] is used to find the keys [Formula: see text] and [Formula: see text], so that an attacker can forge the changed messages. It only needs several plaintext blocks to help obtain the keys to forge any messages. Performance analysis shows that the query complexity of our attack is [Formula: see text], and its success probability is very close to 1.
Physical charges versus conformal invariance in unimodular gravity
Authors: Alvarez Enrique , Anero Jesus , Sanchez-Ruiz Irene
Published: September 2023

There is a formulation of unimodular gravity (UG) in which the unimodular metric is obtained out of an unrestricted one as [Formula: see text]. This unrestricted metric is only defined up to a Weyl rescaling. Physical charges like ADM energy or horizon entropy, however, are not Weyl invariant in general. In this paper a Weyl invariant definition of some physical charges is given.
Bounding Lyapunov Exponents Through Second Additive Compound Matrices: Case Studies and Application to Systems with First Integral
Authors: Martini Davide , Angeli David , Innocenti Giacomo , Tesi Alberto
Published: September 2023

Although Lyapunov exponents have been widely used to characterize the dynamics of nonlinear systems, few methods are available so far to obtain a priori bounds on their magnitudes. Recently, sufficient conditions to rule out the existence of attractors with positive Lyapunov exponents have been derived via a Lyapunov approach based on the second additive compound matrices of the system Jacobian. This paper first provides some insights into this approach by showing how the several available techniques for computing Lyapunov functions can be fruitfully applied to Lorenz and Thomas systems to derive explicit conditions on their system parameters, which ensure that there are no attractors with positive Lyapunov exponents. Then, the approach is extended to the case of nonlinear systems with a first integral of motion and its application to the memristor Chua’s circuit is discussed.
Recognizing Chaos by Deep Learning and Transfer Learning on Recurrence Plots
Authors: Zhou Yu , Gao Shuo , Sun Mingwei , Zhou Yajing , Chen Zengqiang , Zhang Jianhong
Published: September 2023

Chaos recognition is necessary to determine the prediction possibility for specific time series. In this paper, we attempt to seek a novel chaos recognition method based on the recurrent plot (RP) and the convolutional neural network (CNN). The RP can transform the time series into a two-dimensional image, which intuitively reflects the inherent nature of the time series. On the other hand, the CNN is powerful in pattern classification. In this way, the existing chaos recognition results can be unified in a general framework to form accumulated knowledge, which can be used to recognize novel dynamics. First, three major time series classes, namely chaotic, periodic and random ones generated from the classical dynamics, are represented by the RPs respectively. Then, these RPs are used as the dataset to train the residual neural network (ResNet). In this process, the transfer learning is used to speed up convergence. The chaos recognition precision can be up to 97.6%. Finally, different encoding methods and classification networks are used for comparative experiments, and the resultant ResNet is applied to the time series from a supercavitating vehicle motion and two hyperchaotic systems. The experimental results demonstrate the effectiveness of the proposed method.
Formation Mechanism of Multistate Coexistence and Burst Oscillation in Nonlinear Zener Model
Authors: Yu Liyang , Ding Wangcai , Wu Shaopei , Li Deyang , Li Guofang , Chen Ning
Published: September 2023

In order to reflect the dynamic response of the rubber vibration isolation system more accurately in medium and low frequency ranges, the nonlinear Zener model is used to characterize the mechanical properties of viscoelastic materials like rubber. The approximate analytical solution of the system response is obtained by harmonic balance method, and its correctness is verified through numerical method and Universal Mechanism (UM) software simulation. The quantitative relationship between mass displacement and node displacement is calculated, and a new method to obtain hysteresis characteristics of rubber vibration isolation system based on approximate analytical solution of the model is presented. Under the influence of symmetry and hysteresis, the system possesses bifurcation, chaos, polymorphic coexistence and other complex nonlinear dynamical behaviors. Then, with the help of global bifurcation diagram, phase diagram, Poincaré map and cell mapping, the formation mechanism of polymorphic coexisting motion induced by pitchfork bifurcation, saddle-node bifurcation, period-doubling bifurcation and boundary crisis is comprehensively analyzed. Based on this, the formation mechanism of bursting oscillation is revealed. Finally, the influence of nonlinear stiffness on the transition law of the system periodic motion is analyzed, and the distribution law of the coexisting attractors and the variation of the attracting domain in various of polymorphic coexisting motions are presented. The research results of the complex dynamic behavior of the nonlinear Zener vibration isolation system in this paper can provide some theoretical guidance for the optimal design of the viscoelastic vibration isolation system.
An Efficient Medical Image Encryption Scheme Utilizing Nonuniform Cellular Automaton
Authors: Lv Wenrui , Chen Junxin , Li Qiankun , Xu Xu , Fu Chong
Published: September 2023

Encryption is one of the simplest and most efficient technologies to protect images from information leakage. Because medical images usually have great data volume and personal privacy, encryption methods with higher efficiency and security are expected. The nonuniform cellular automaton (CA), which has common advantages of CA such as high efficiency and discreteness, has a unique advantage in handling inputs with all zero pixels, and thus emerges as a promising candidate for medical image encryption. In this work, our proposal adopts the permutation–diffusion–diffusion structure rather than the classic permutation–diffusion structure to improve the efficiency and security. In the diffusion phase, the reversible nonuniform CA is adopted to encrypt the processed pixels, which can improve security against plaintext attacks. An efficient “divide-and-rule” diffusion method is designed for better diffusion performance and efficiency. The security and robustness analysis indicates that our method has satisfactory security against common attacks and robustness in resisting data loss and random noise.
FRACTIONAL MODELING AND NUMERICAL SIMULATION FOR UNFOLDING MARBURG–MONKEYPOX VIRUS CO-INFECTION TRANSMISSION
Authors: ZHANG NAN , ADDAI EMMANUEL , ZHANG LINGLING , NGUNGU MERCY , MARINDA EDMORE , ASAMOAH JOSHUA KIDDY K.
Published: September 2023

In this paper, we investigate a deterministic mathematical model of Marburg–Monkeypox virus co-infection transmission under the Caputo fractional-order derivative. We discussed the dynamics behavior of the model and carried out qualitative and quantitative analysis, including the positivity–boundedness of solution, and the basic reproduction number [Formula: see text]. In addition, the Banach and Schauder-type fixed point theorem is utilized to explore the existence–uniqueness of the solution in the suggested model and the proposed model stability under the Ulam–Hyers condition is demonstrated. In numerical simulation, the Predictor–Corrector method is used to determine the numerical solutions. According to the numerical result, increasing the rate of quarantine and detecting unknown Marburg virus, will be the most effective control intervention to reduce Marburg and Monkeypox virus transmission in the population.
Software Reliability Growth Model for N-Version Fault Tolerant Software with Common and Independent Faults
Authors: Kumar Sudeep , Aggarwal Anu G. , Gupta Ritu , Kapur P. K.
Published: September 2023

Research and development teams have become increasingly focused on developing highly reliable software for safety-critical systems. It is a major challenge for real-time control systems to achieve high reliability software to meet safety standards. A reliability evaluation focuses primarily on analytical and modeling techniques for fault prediction. In safety-critical systems like nuclear plant controls, aircraft controls and railroad signalization systems, N-version programming (NVP) is an effective technique for raising software’s reliability, particularly in areas with high-risk ratios because small errors can result in hazardous incidents. It allows the software to be fault-tolerant, aiding it to produce accurate results even when the software has faults. We present an analytical method for assessing the reliability of N-version software systems. Analysis of the system’s reliability and other performance metrics is provided with closed-form expressions. As an additional extension, we conduct numerical analyses of two cases, the 2VP system and 3VP system, in which suitable parameters are used. We conduct numerical simulations using MATLAB to generate the analytical results and compare the analytical results by using numerical results and neuro-fuzzy results using fuzzy interference systems.
The Method for Determining Conditions to Vibrations Suppression of Bridge Beams
Authors: Poliakov V. , Saurin V. , Zhang N.
Published: September 2023

The paper deals with the problem of obtaining a given dynamic behavior of simply supported bridge beams from the impact of rolling stock. Resonant vibrations of beams become a reality at high speeds if the train is formed of identical cars, which is typical for passenger trains. The phenomenon of suppression of beam vibrations by a train, known from publications, is possible only with an exact ratio of the length of the car and the beam. This significantly reduces the possibilities of choosing the necessary spans of beams. Consideration of issues of interaction in the “bridge–track—train” system for security purposes requires the involvement of a rather complex mathematical apparatus and appropriate software. The paper proposes a new method for determining the specified dynamic behavior of bridge beams, suitable for any spans and available to engineers at the stage of pre-design assignment of dynamic parameters of beams. The requirements that are necessary and sufficient conditions for preventing the resonance of bridge beams on the HSR are determined. At the same time, it does not require the involvement of software based on a complex mathematical technique.
Nonlinear Structural Vibration of Multi-Megawatt Vertical Axis Wind Turbine Blades-Part 1: Derivation of Motion Equations
Authors: Huang Jianyou , Zhang Han , Zhou Chuang , Tang Qingchun , Lin Jiaxiang
Published: September 2023

Replacing fossil fuels with renewable energy is one of the important means to improve energy scarcity and environmental protection, and is of great significance for achieving sustainable development of human society. Vertical axis wind turbine (VAWT) is one of the key equipment for applying green energy — wind energy. During the operation of VAWT, its blades not only have to withstand periodic aerodynamic loads, but also suffer from centrifugal force effects and the Coriolis force effect caused by coupling with multi-dimensional deformation. The complex stress situation makes the blades susceptible to damage, resulting in structural resonance and instability of aeroelastic stability. This paper applies the Euler beam model and Hamilton principle to establish a nonlinear structural vibration motion equation for large-span vertical axis wind turbine blades with fully coupled four-dimensional deformation (i.e. lateral bending deformation, chord bending deformation, axial torsion deformation, and axial tensile deformation), and retains the nonlinear term of the motion equation to the third-order infinitesimal. Separating the motion equation into equilibrium equation and dynamic equation, it can be seen that the displacement of equilibrium state caused by the centrifugal force of the rigid body exists in the form of a coefficient in the dynamic equation, which will have an impact on the dynamic characteristics. This modeling work can provide a research foundation for exploring the dynamic characteristics and aeroelastic stability of VAWT blades in the future.
Nonlinear Forced Vibration Analysis of Two-Directional Functionally Graded Truncated Conical Shells
Authors: Wang Jin , Nashir Irdayanti Mat , Beygzade Sahar
Published: September 2023

It is crucial to comprehend the nonlinear vibration behavior of sophisticated engineering constructions to aid in the examination, creation and production procedures. The primary objective of this study, therefore, is to focus on exploring the nonlinear forced vibrational characteristics of two-directional functionally graded (TDFG) cone-shaped shell for the first time. To accomplish this, the motion equations of the TDFG cone-shaped shell are derived based upon the framework of first-order shear deformation theory (FSDT) in conjunction with von Kármán assumption. TDFG cone-shaped shell models have mechanical properties that can change smoothly and continuously across the thickness and length of the shell, following a power law distribution pattern. To discretize the partial differential equations and transform them into ordinary differential equations, the Galerkin approach was used and ultimately, these equations were solved using the multiple time scales method. The accuracy and effectiveness of this analytical model are indicated through comparison with existing solutions. Finally, some comprehensive parametric investigations are carried out to gain insight into the impacts of several factors on the nonlinear behavior of the shell, highlighting the significant influence of transverse and longitudinal gradient indices on the nonlinear frequency response, which is not considered before. The new insights gained from this research could serve as valuable benchmark outcomes as well as contribute to a more comprehensive understanding of the nonlinear vibrations in future analysis and design processes.
Quenched limit theorems for expanding on average cocycles
Authors: Dragičević Davor , Sedro Julien
Published: September 2023

We prove quenched versions of a central limit theorem, a large deviations principle as well as a local central limit theorem for expanding on average cocycles. This is achieved by building an appropriate modification of the spectral method for nonautonomous dynamics developed by [D. Dragičević, G. Froyland, C. Gonzàlez-Tokman and S. Vaienti, A spectral approach for quenched limit theorems for random expanding dynamical systems, Commun. Math. Phys. 360 (2018) 1121–1187], to deal with the case of random dynamics that exhibits nonuniform decay of correlations, which are ubiquitous in the context of the multiplicative ergodic theory.
Gaussian structure in coalescing stochastic flows
Authors: Dorogovtsev A. A. , Hlyniana K. V.
Published: September 2023

In the paper, we consider the point measure that corresponds to Arratia flow. The central limit theorem of the multiple integrals with respect to this measure was obtained.
Uniform large deviations of fractional stochastic equations with polynomial drift on unbounded domains
Authors: Wang Bixiang
Published: September 2023

In this paper, we first prove a uniform contraction principle for verifying the uniform large deviation principles of locally Hölder continuous maps in Banach spaces. We then show the local Hölder continuity of the solutions of a class of fractional parabolic equations with polynomial drift of any order defined on [Formula: see text]. We finally establish the large deviation principle of the fractional stochastic equations uniformly with respect to bounded initial data, despite the solution operators are not compact due to the non-compactness of Sobolev embeddings on unbounded domains.
Jordan-type derivations on trivial extension algebras
Authors: Ashraf Mohammad , Akhter Md Shamim , Ansari Mohammad Afajal
Published: September 2023

Assume that [Formula: see text] is a unital algebra over a commutative unital ring [Formula: see text] and [Formula: see text] is an [Formula: see text]-bimodule. A trivial extension algebra [Formula: see text] is defined as an [Formula: see text]-algebra with usual operations of [Formula: see text]-module [Formula: see text] and the multiplication defined by [Formula: see text] for all [Formula: see text] [Formula: see text] In this paper, we prove that under certain conditions every Jordan [Formula: see text]-derivation [Formula: see text] on [Formula: see text] can be expressed as [Formula: see text] where [Formula: see text] is a derivation and [Formula: see text] is both a singular Jordan derivation and an antiderivation. As applications, we characterize Jordan [Formula: see text]-derivations on triangular algebras and generalized matrix algebras.
Generalized Jordan forms of matrices over division rings
Authors: Bien M. H. , Ramezan-Nassab M. , Son T. N. , Truong L. Q.
Published: September 2023

Let [Formula: see text] be a division ring that is algebraic over its center [Formula: see text]. The aim of this paper is to describe certain classes of triangular matrices over [Formula: see text] that are similar to generalized Jordan forms, namely: (1) the class of finite triangular matrices, and (2) the class of infinite triangular matrices whose all diagonal entries, except possibly finitely many, belong to [Formula: see text].
The Mediating Role of Transformational Leadership in the Relationship Between Institutional Pressures and Collaboration with Commercialization of University Research Output: A Pilot Study
Authors: Tweheyo Gregory , Abaho Ernest , Verma Anju M. , Musenze Ibrahim
Published: September 2023

The increasing recognition of universities as a seedbed of new knowledge and technology to boost economic growth, technological improvements, and competitiveness has led to the notion of commercialization of university research outputs to gain traction and popularity in different fora. Despite the significance attached, the commercialization of research outputs and innovation has remained low in universities. The purpose of this study is to lay emphasis on Uganda’s Universities in light of the examination of how institutional pressures and collaboration influence the commercialization of university research output with the mediating role of transformational leadership. Data was collected using a questionnaire from 115 university staff in the 23 chartered universities in Uganda. The paper adopted Exploratory Factor Analysis (EFA) for instrument validity and reliability, and Structural Equation Modeling (SEM) for testing and estimating relations between the commercialization of university research outputs with its antecedents of institutional pressures, collaboration and transformational leadership. The results indicate that the operational measures developed for research commercialization, along with its antecedents satisfy the reliability and validity tests. The proposed measurement scale for research commercialization with its antecedents (institutional pressures, collaboration and transformational leadership) will help practitioners to measure research commercialization performance in universities. The findings demonstrated that transformational leadership mediates the relationship between institutional factors and collaboration with the commercialization in Ugandan Universities.
The Gauss–Bonnet topological scalar in the geometric trinity of gravity
Authors: Bajardi Francesco , Blixt Daniel , Capozziello Salvatore
Published: September 2023

The Gauss–Bonnet topological scalar is presented in metric-teleparallel formalism as well as in the symmetric and general teleparallel formulations. In all of the aforementioned frameworks, the full expressions are provided explicitly in terms of torsion, non-metricity and Levi-Civita covariant derivative. The number of invariant terms of this form is counted and compared with the number which can appear in the corresponding effective field theory (EFT). Although the difference in this number is not very large, it is found that the Gauss–Bonnet invariant excludes some of the EFT terms. This result sheds new light on how General Relativity symmetries can be maintained at higher order in teleparallel theories: this fact appears to be highly nontrivial in the teleparallel formulation. The importance of the so-called “pseudo-invariant” theories like [Formula: see text]- and [Formula: see text]-gravity is further discussed in the context of teleparallel Gauss–Bonnet gravity.
Synthesis, physicochemical properties and theoretical calculations of a subphthalocyanine peripherally substituted by multiple anthryl-ethynyl-aniline moieties
Authors: Fernandez-Vera Oscar , Bo Yifan , Luo Yusen , Labella Jorge , Guldi Dirk M. , Torres Tomás , Bottari Giovanni
Published: September 2023

We report here the synthesis of a novel [Formula: see text]-subphthalocyanine (SubPc)-based electron donor-acceptor conjugate (1) in which the macrocycle has been functionalized at its peripheral positions with three anthryl-ethynyl-[Formula: see text],[Formula: see text]-dimethylaniline groups. The latter moiety, besides conferring increased stability and solubility to the resulting system, substantially broadens its absorption capability. In-depth spectroscopic, spectrometric, and electrochemical analyses as well as theoretical calculations carried out on 1 suggest a moderate ground state intramolecular interaction between the macrocycle and the orthogonally-arranged anthryl-ethynyl-[Formula: see text],[Formula: see text]-dimethylaniline moieties. Interestingly, such electronic communication significantly increases in the excited state in a process strongly depending on the polarity of the solvent. On the one hand, in toluene, upon photoexcitation of the anthryl-ethynyl-aniline, the formation of a [Formula: see text](SubPc) state is observed which decays into a [Formula: see text](SubPc) manifold before deactivating to the ground state. On the other hand, increasing the polarity of the solvent to tetrahydrofuran and benzonitrile, significantly modifies the fate of the photoexcited state. In this new scenario, the [Formula: see text](SubPc) state, formed directly upon 550 nm light stimulation or by [Formula: see text](anthryl-ethynyl-aniline) sensitization upon 405 nm excitation, transforms into a charge transfer (SubPc)[Formula: see text]-anthryl-ethynyl-aniline[Formula: see text] state which further evolves into a fully charge-separated (SubPc)[Formula: see text]-anthryl-ethynyl-aniline[Formula: see text] species before deactivating to the ground state.
Novel Inorganic–Organic Heterojunction Solar Cell-Based Perovskite Using Two Absorbent Materials
Authors: Dris K. , Benhaliliba M.
Published: September 2023

The main objective of this work is to study and optimize by simulation a proposed perovskite solar cell (PSC) model. The model is a two-layer perovskite solar cell in which the two perovskite materials CH3NH3PbI3 (MAPI) and HC(NH[Formula: see text]PbI3 (FAPI) form the active layer of the cell, according to the configuration Pt/CuSbS2/CH3NH3PbI3/HC(NH[Formula: see text]PbI3/ZnO/FTO. The simulations were performed using SCAPS 1D software. The optimized parameters are mainly the thicknesses of the active sub-layers (MAPI and FAPI), and the parameters associated with these materials such as defect density and doping density. The defect densities of the CuSbS2/MAPI, MAPI/FAPI, and MAPI/ZnO interfaces have also been optimized. The best results were obtained for an optimal thickness of 1200[Formula: see text]nm, an acceptor doping density of 10[Formula: see text][Formula: see text]cm[Formula: see text], and a defect density of 10[Formula: see text][Formula: see text]cm[Formula: see text] for each active sub-layer (MAPI and FAPI). For the defect densities of the three interfaces, the density 10[Formula: see text][Formula: see text]cm[Formula: see text] was found as the optimal density. The optimized cell has an open circuit voltage of 1.519[Formula: see text]V, a short circuit current density of 27.79[Formula: see text]mA/cm2, a fill factor of 91.31%, and a power conversion efficiency of 38.53%.
In Silico Studies of (Z)-3-(2-Chloro-4-Nitrophenyl)-5-(4-Nitrobenzylidene)-2-Thioxothiazolidin-4-One Derivatives as PPAR-γ Agonist: Design, Molecular Docking, MM-GBSA Assay, Toxicity Predictions, DFT Calculations and MD Simulation Studies
Authors: Srinivasa Mahendra Gowdru , Shivakumar  , Kumar D. Udaya , Mehta Chetan Hasmukh , Nayak Usha Yogendra , Revanasiddappa B. C.
Published: September 2023

Diabetes mellitus, a metabolic disorder, arises from insufficient insulin levels or increased insulin resistance. An alternative approach to address this pathogenesis involves targeting PPAR-[Formula: see text], which activates glucose homeostasis and improves peripheral glucose utilization. In this study, we aimed to investigate the designed 2-thioxothiazolidin-4-one derivatives (T1-25) and assess their potential as PPAR-[Formula: see text] regulators by an in silico approach. Physicochemical properties and Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profiles were evaluated. Docking studies were performed using Schrödinger software, with the protein target being PPAR-[Formula: see text] (PDB ID: 2ZNO). Additionally, MD simulation studies were conducted, and the key interactions in the protein-ligand complexes were identified. The results demonstrate the drug-likeness of compounds T11, T24 and T25, with docking scores of –7.953 kcal/mol, –7.973 kcal/mol and –8.212 kcal/mol, respectively, and exhibit significant activity against PPAR-[Formula: see text] agonist and compared with the standard drug Pioglitazone (–7.367 kcal/mol). The density functional calculations were also performed to determine the geometrical properties, thermal parameters, chemical reactivity descriptors and molecular electrostatic potential of the compounds using the B3LYP functional and 6-31G++ basis sets. The energy difference between the highest occupied molecular orbitals and lowest unoccupied molecular orbitals for all the investigated compounds is in the range of 2.8–3.4 eV which allows for easy transfer of electrons and reactivity. Further research and development of these designed compounds could contribute to the advancement of effective antidiabetic treatments.
An Optimal FASA Approach for UAV Trajectory Tracking Control
Authors: Liu Gaoqi , Li Bin , Duan Guangren
Published: September 2023

In this paper, a fully actuated system approach (FASA)-based control scheme is proposed for the trajectory tracking of a quadrotor unmanned aerial vehicle (UAV). System uncertainty, external disturbance and actuator constraint are all considered, which make the problem challenging. Inspired by the active disturbance rejection control (ADRC), tracking differentiator (TD) and extended state observer (ESO) are introduced for handling the uncertainties and generating the feedback signals. With the proposed feedback control law, the performance of the resulted closed loop system is related to its eigenstructure - eigenvalue and eigenvectors. Based on a type of control parametrization method, the parametrized eigenstructure of the closed loop system are optimized. A better performance is observed by comparative numerical simulation.
Using Cache or Credit for Parallel Ranking and Selection
Authors: Avci Harun , Nelson Barry L. , Song Eunhye , Wächter Andreas
Published: September 2023

In this article, we focus on ranking and selection procedures that sequentially allocate replications to systems by applying some acquisition function. We propose an acquisition function, called gCEI, which exploits the gradient of the complete expected improvement with respect to the number of replications. We prove that the gCEI procedure, which adopts gCEI as the acquisition function in a serial computing environment, achieves the asymptotically optimal static replication allocation of Glynn and Juneja in the limit under a normality assumption. We also propose two procedures, called caching and credit, that extend any acquisition-function-based procedure in a serial environment into both synchronous and asynchronous parallel environments. While allocating replications to systems, both procedures use persistence forecasts for the unavailable outputs of the currently running replications, but differ in usage of the available outputs. We prove that, under certain assumptions, the caching procedure achieves the same asymptotic allocation as in the serial environment. A similar result holds for the credit procedure using gCEI as the acquisition function. In terms of efficiency and effectiveness, the credit procedure empirically performs as well as the caching procedure, despite not carefully controlling the output history as the caching procedure does, and is faster than the serial version without any number-of-replications penalty due to using persistence forecasts. Both procedures are designed to solve small-to-medium-sized problems on computers with a modest number of processors, such as laptops and desktops as opposed to high-performance clusters, and are superior to state-of-the-art parallel procedures in this setting.
Global Existence and Decay Rate of Smooth Solutions for Full System of Partial Differential Equations for Three-Dimensional Compressible Magnetohydrodynamic Flows
Authors: Abdallah Mohamed Ahmed , Tan Zhong
Published: September 2023

We focus on the global existence andLp−Lqrates of convergence for the compressible magnetohydrodynamic equations inR3. We prove the global existence of smooth solutions using the standard energy method under the condition that the initial data are close to a constant equilibrium state inH3. Rates of convergence for the solution inLqnorm with2≤q≤6and its first- and second-order derivatives inL2norm are obtained, if the initial data belong toLpwith1≤p≤65.
An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations
Authors: Mollayousefi Zadeh Mahmoud , Afshar Zakaria , Farahani Gholamreza , Bathaee Seyed Mohammad Taghi
Published: September 2023

Considering the increasing penetration of renewable energy sources (RESs) into power grids, adopting efficient energy management strategies is vital to mitigate the uncertainty issues resulting from the intermittent nature of their output power. This paper aims to resolve the energy management problem by presenting an adaptive robust optimization (ARO) model in which uncertainties associated with solar and wind powers, consumer demand, and electricity prices are considered. The proposed model comprises three stages, one master and two subproblems, using both linearized and convexified power flow equations. Meanwhile, a new optimization-based bound tightening (OBBT) method is also presented to strengthen the relaxation. The proposed solution method solves the microgrid (MG) operation management problem with high accuracy due to considering the convexification method in a reasonable computational time and reducing operational costs compared to conventional models. The numerical results indicate the benefits of the proposed ARO and solution approach over traditional methods.
Emergency Medical Resources Allocation of Periphery for Epidemic Areas: Based on Infectious Diseases Spatial-Temporal Transmission Path
Authors: Zhao Xuan , Peng Benhong , Zheng Chaoyu , Wan Anxia
Published: September 2023

People in the epicenter suffer from emergency medical supplies shortage in the early stage of a public health emergency because of imbalanced supply-demand in different regions or areas, which is a key issue in a major infectious disease. In response to the severe insufficiency of supplies in the epicenter, this study proposed a strategy of distributing supplies from peripheral areas to the epicenter and gave a supply-side selection model considering the epidemic influence and supplies condition in the candidate supply-side areas. First of all, the epidemic spatial-temporal transmission path (STTP) network describing the geographic spread of disease is obtained using a first-order conditional dependence approximation algorithm in a dynamic Bayesian network (DBN). Then, the structural information of the STTP network and the supplies condition characteristic information are combined using the Bipartite network embedding (BiNE) method. Finally, a graph convolutional neural network (GCN) is conducted to select the supply-side areas for peripheral-epicenter supplies distribution based on information achieved from the bipartite graph. The results show that the highest supplies allocation accuracy reaches 87%. Validation and supremacy of the proposed methodology are provided by applying it to the case in Hubei province. This study considers crossed-areas supplies distribution strategy and contributes to select suitable supply-side areas considering the epidemic and supplies condition in the peripheral areas, which is helpful to both epicenter and peripheral areas.
Invasive Ductal Carcinoma of the Breast in a Transgender Man: A Case Report
Authors: Heng Yujing J. , Zhang Kevin J. , Valero Monica G. , Baker Gabrielle M. , Fein-Zachary Valerie J. , Irwig Michael S. , Wulf Gerburg M.
Published: September 2023

There is limited literature about breast cancer in the transgender population. Very little is known about how gender-affirming hormone therapy affects their breast cancer risk. On the other end, for those diagnosed with breast cancer, there are no clinical guidelines to manage their breast cancer, specifically, how to manage their gender-affirming hormone therapy during breast cancer treatment. Here, we report a 52-year-old transman diagnosed with a grade 2 invasive ductal carcinoma (ER+/PR+/HER2−), and ductal carcinoma in situ (DCIS) of intermediate grade. We discussed his risk factors as well as treatment options.
1. Introduction
Authors: Atkinson David , Roud Steve
Published: September 2023

For cheap print and street literature, the eighteenth century represents a critical period both of continuity and of transition between the seventeenth and nineteenth centuries. The essays in this volume begin with the period around the lapse of the Printing Act in 1695, which opened the way for printing outside of London, and also saw the transition from the use of black-letter to white-letter typefaces for items of cheap print. They then extend through to the end of the wooden hand-press period, in the first couple of decades of the nineteenth century. This introduction introduces the parameters of the subject, including questions around cheap print, literacy, and popular culture, London and the regions, chapmen and chapbooks, the matter of street literature, and the extent of the trade.
3. Pictures on the Street: Cheap Pictorial Prints in Eighteenth-Century Britain
Authors: O’Connell Sheila
Published: September 2023

This chapter discusses the range of printed images that would have been familiar during the eighteenth century to people at all levels of society in towns and to a lesser extent in rural areas. These everyday prints ranged from early examples of advertising to grim depictions of the condemned sold at public executions; from moralizing broadsides to cheap patriotic portraits of the royal family and military leaders. Like other commodities sold in large numbers for small sums, they were not valued at the time and so are now rare. Catalogues published in the 1750s and 1760s list hundreds of titles, often repeated in prints of different sizes, or as etchings as well as more traditional woodcuts. New images appeared regularly, but older prints, still satisfying an undemanding market were reissued from cracked and worm-eaten woodblocks or worn-out copper-plates. By the beginning of the nineteenth century technological developments introduced changes in technique and style, and reduced the cost of production, but the subject matter of cheap pictorial prints remained largely unchanged.
5. Anthony Soulby, Chapbook Printer of Penrith (1740–1816)
Authors: McKay Barry
Published: September 2023

The chapbooks printed in Penrith, a small market town in northern England, may be regarded as somewhat underwhelming when compared to those of London and Newcastle, but in terms of those known from other English provincial chapbook printing towns they are worthy of note. The number of chapbooks printed in Penrith is largely the work of two printers, Ann Bell and Anthony Soulby, and it is the work of the latter that this essay seeks to record. In seeking to trace Soulby’s career, his trading as a bookseller, publisher, and circulating library proprietor is discussed, before he added the role of printing to his portfolio of book trades. Thereafter, his output of chapbooks is noted in some detail and an attempt is made subjectively to date much of his undated output by reference to the ‘advertisements’ that follow his name on the imprints.
10. Alphabet Pies, Animal Quacks, and Ugly Sisters: John Evans and the Growth of Cheap Books for Children
Authors: Cooper Jonathan
Published: September 2023

The printer and bookseller John Evans was, in the last decade of the eighteenth century, seemingly prolonging the lifespan of the type of publication that had hitherto typified the Aldermary Churchyard press and which it was abandoning in search of ‘respectability’. The place of business Evans established for his work, and which was retained by his family for a further forty-five years, was originally John Marshall’s, and what seems to have been his ‘big break’ came courtesy of Marshall when he fell out of favour with the patrons of the Cheap Repository Tracts. Nevertheless, Evans had a distinct career. Stretching into the 1800s, he was arguably the last printer of the traditional ‘penny history’ in the capital, a text and illustrative tradition that dated back at least to the printers and publishers of the mid-seventeenth century; he was a major link in the production of broadside ballads and slip songs between Marshall and the later printers Pitts and Catnach; and, as this chapter will show, he was a significant and heretofore underappreciated printer of street literature specifically for children.
12. Afterword
Authors: Atkinson David , Roud Steve
Published: September 2023

After the lapse of the Printing Act in 1695, printing, especially cheap printing, began to spread outside of London and become established in the regions. In the second half of the century, there were major booksellers issuing street literature titles in almost every area of the country. This afterword draws attention to some directions for future research. Preceding chapters have complicated easy assumptions about what actually counted as cheap print, for both producers and consumers, what is a ‘chapbook’, what sorts of titles best characterized the itinerant trade, and what they might say about their purchasers and readers, both economically and culturally. Other issues include the extent of the trade outside of London, concepts of ownership in particular titles, the role of women at the cheap end of the book trade, and the impact of cheap print on the cultural life of the country at large.