Duy Tan University

General expressions for one-loop contributions associated with lepton-flavor violating decays of the standard model-like Higgs boson $h\rightarrow e_b^\pm e_a^\mp$ h → e b ± e a ∓ and gauge boson $Z\rightarrow e^\pm _b e_a^\mp$ Z → e b ± e a ∓ are introduced in the unitary gauge. The results are used to discuss these decays as new physics signals in a minimal left-right symmetric model containing only one bidoublet Higgs and a $SU(2)_R$ S U ( 2 ) R Higgs doublet accommodating data of neutrino oscillations and $(g-2)_{\mu }$ ( g - 2 ) μ . The numerical investigation indicates that some of these decay rates can reach near future experimental sensitivities.

We synthesized ZnFe2O4 and CoFe2O4 nanoparticles and investigated their magnetic and electromagnetic behaviors at room temperature. X-ray diffraction analyses indicated that these materials having average crystallite sizes of 22–31 nm, and their crystal structure belongs to the cubic-spinel class. While ZnFe2O4 exhibits soft magnetic behavior, with Ms = 88 emu/g and Hc = 130 Oe, CoFe2O4 exhibits hard magnetic behavior, with Ms = 65 emu/g and Hc = 620 Oe. Investigations into the complex permittivity and permeability dependent on the frequency (f) and thickness (t) revealed remarkable changes in their values at frequencies f = 12–16 GHz for both samples. In the range f = 13.5–13.8 GHz, reflection loss magnitudes of devices based on ZnFe2O4– and CoFe2O4– with t = 2.25–2.75 mm were about 11.3–14.2 dB, corresponding to electromagnetic wave absorption of 90–95%. Considering loss tangents, we found that both dielectric and magnetic losses contributed to the electromagnetic dissipation in the investigated materials.

The bending capacity of the precast decks is greatly dependent on the flexural strength exhibited by the joints between them. However, due to the complexity and diversity of this system, precise predictive models are currently unavailable. This study introduces an effective and precise methodology for assessing flexural strength using Monte Carlo Model Averaging (MCMA), a statistical technique that combines the strengths of model averaging (MA) and Monte Carlo simulation. To construct the MCMA model, input variables were derived by analyzing the experimental results, and a database of 433 bending test specimens was compiled. The MCMA model incorporated four different machine learning models, namely decision tree (DT), linear regression (LR), adaptive boosting (AdaBoost), and multilayer perceptron (MLP). Comparative analyses revealed that the MCMA model outperformed baseline models (DT, AdaBoost, LR, and MLP) across all employed metrics. The impact of three different categories on flexural capacity was explored through boxplot analysis. Furthermore, a comparison between the MCMA model and the strut and tie model highlighted the superior performance of the MCMA model. The impact of input variables on the flexural strength prediction was further examined through Shapley Additive exPlanations based feature importance and global interpretation, as well as parametric study.

Polyurethane elastomer exhibits a complex behavior in response to external forces, which necessitates the use of specialized modeling methods that are often unavailable in standard analysis software. In response to this challenge, researchers have developed a new class in the OpenSees software that enables highly accurate modeling of polyurethane elastomer behavior using laboratory test data. The newly developed class has proven to be highly effective in validating the behavior of polyurethane elastomer, demonstrating that it offers high accuracy in modeling the material’s behavior. The ability to accurately model the behavior of polyurethane elastomer is essential to ensure the safety and reliability of structures that incorporate this material. The findings of this research have significant implications for the design and analysis of structures incorporating polyurethane elastomer, offering new insights into its use as a smart material for enhancing structural performance under extreme loads.

Entrepreneurs’ cognitive and decision-making capabilities, as well as their ability to handle relationship dynamics, are influenced by their personality traits. This study aims to identify the personality traits of descendant entrepreneurs that contribute to the successful transition of their family-owned small businesses (FoSBs) into subsequent generations and to determine which traits require strong support from their predecessors for a successful succession transition. This study collected data from 224 descendant entrepreneurs using purposive sampling. SmartPLS software was used to analyze the data. The findings revealed that descendant entrepreneurs with openness, conscientiousness, extroversion, and agreeableness traits can handle succession matters successfully, while those with neuroticism traits may not. The study found that descendant entrepreneurs with extroversion and agreeableness traits benefit from strong relationships, while those with weak relationships can still contribute to successful succession due to their openness traits. Entrepreneurs with a conscientiousness trait can succeed without support from their predecessors, but neuroticism traits hinder successful succession. The study provides guidance for business families and policy makers on assigning job responsibilities and preserving relationship quality based on the personality traits of the descendant entrepreneur. It introduces a framework for FoSBs using the trait activation theory, with the predecessor–descendant entrepreneur relationship as a situational moderator. The study found that not all descendant entrepreneurs require strong support from their predecessors for a successful transition.

In this study, the canonical quantization of the U(1) gauge field in the Lorentz-covariant gauge in the right Rindler-wedge (RRW) of the four-dimensional Rindler coordinates is performed. Specifically, we obtain the gauge-fixed Lagrangian by the Lorentz-covariant gauge in the RRW of the Rindler coordinates, which is composed of the U(1) gauge field and B -field. Then, we obtain the mode-solutions of the U(1) gauge field and B -field by solving the equations of motion obtained from that gauge-fixed Lagrangian. Subsequently, defining the Klein–Gordon inner-product in the RRW of the Rindler coordinates, we determine the normalization constants of all directions of the mode-solutions of the U(1) gauge field and B -field. Then, for the U(1) gauge field given by those normalized mode-expanded solutions, we obtain the commutation relations of the creation and annihilation operators defined in the RRW of the Rindler coordinates by formulating the canonical commutation relations. In addition, we provide a polarization vector for the annihilation operators obtained in this way. Using these result, we show that the Minkowski ground state can be expressed as the outer-product of the left and right Rindler-wedges state on which those creation and annihilation operators act. Then, tracing out the left Rindler states of that Minkowski ground state, we obtain the density matrix of the U(1) gauge field in the RRW. From this, we show that the U(1) gauge field in a constant accelerated system will feel the Unruh temperature as well.

In cardiovascular therapeutics, procedures such as heart transplants and coronary artery bypass graft are pivotal. However, an acute shortage of organ donors increases waiting times of patients, which is reflected in negative effects on the outcome for the patient. Post-procedural complications such as thrombotic events and atherosclerotic developments may also have grave clinical implications. To address these challenges, tissue engineering is emerging as a solution, using textile technologies to synthesize biomimetic scaffolds resembling natural tissues. This comprehensive analysis explains methodologies including electrospinning, electrostatic flocking, and advanced textile techniques developed from weaving, knitting, and braiding. These techniques are evaluated in the context of fabricating cardiac patches, vascular graft constructs, stent designs, and state-of-the-art wearable sensors. We also closely examine the interaction of distinct process parameters with the biomechanical and morphological attributes of the resultant scaffolds. The research concludes by combining current findings and recommendations for subsequent investigation.

The crystal structure and vibrational spectra of CoFe 2 O 4 ferrite were studied using X-ray diffraction and Raman spectroscopy over a pressure range of 0–35[Formula: see text]GPa. A structural phase transition from the cubic [Formula: see text] phase to the post-spinel orthorhombic Bbmm phase occurs at a pressure of approximately 23[Formula: see text]GPa through a two-phase region. Pressure-induced changes in the structural parameters, lattice distortion, and vibrational modes of the studied ferrite were investigated in detail. Lattice parameters, bond lengths, compressibility, and bulk modulus for both the cubic and orthorhombic phases of CoFe 2 O 4 were determined.

Based on the bond energy model, we investigate the particle size and shape effects on the melting temperature, Debye temperature, and specific heat at constant pressure of Ni nanoparticles with carbon impurity. We have derived analytical expressions for these thermodynamic quantities as functions of the size and shape of nanoparticles. Numerical calculations have been implemented for nickel nanoparticles with carbon impurity up to 20 nm of size. Our theoretical melting temperatures are compared with molecular dynamics simulations showing the good agreement. Our research indicates that the Debye temperature and melting temperature of nickel nanoparticles increase rapidly while the specific heat decreases significantly for particle diameters smaller than 5 nm. At larger sizes, these thermodynamic quantities gradually approach saturation values of bulk material. This indicates that surface area plays an important role in the thermodynamic properties of nickel nanoparticles. And carbon substitution leads to a reduction in the values of the studied thermodynamic quantities.

The Nuclear factor erythroid 2–related factor (Nrf2)/ Heme oxygenase-1 (HO-1) pathway, known for its significant role in regulating innate antioxidant defense mechanisms, is increasingly being recognized for its potential in neuroprotection studies. Derived from bee venom, melittin's neuroprotective effects have raised interest. This study confirmed that melittin specificity upregulated the weakened Nrf2/HO-1 signaling in mice brain. Interestingly, we also revealed melittin’s efficient tactic, as it was suggested to first restore redox balance and then gradually stabilized other regulations of the mouse hippocampus. Using a neuro-stress-induced scopolamine model, chromatography and mass spectrometry analysis revealed that melittin crossed the compromised blood–brain barrier and accumulated in the hippocampus, which provided the chance to interact directly to weakened neurons. A wide range of improvements of melittin action were observed from various tests from behavior Morris water maze, Y maze test to immune florescent staining, western blots. As we need to find out what is the focus of melittin action, we conducted a careful observation in mice which showed that: the first signs of changes, in the hippocampus, within 5 h after melittin administration were the restoration of the Nrf2/HO-1 system and suppression of oxidative stress. After this event, from 7 to 12.5 h after administration, a diversity of conditions was all ameliorated: inflammation, apoptosis, neurotrophic factors, cholinergic function, and tissue ATP level. This chain reaction underscores that melittin focus was on redox balance's role, which revived multiple neuronal functions. Evidence of enhancement in the mouse hippocampus led to further exploration with hippocampal cell line HT22 model. Immunofluorescence analysis showed melittin-induced Nrf2 translocation to the nucleus, which would initiating the translation of antioxidant genes like HO-1. Pathway inhibitors pinpointed melittin's direct influence on the Nrf2/HO-1 pathway. 3D docking models and pull-down assays suggested melittin's direct interaction with Keap1, the regulator of the Nrf2/HO-1 pathway. Overall, this study not only highlighted melittin specifically effect on Nrf2/HO-1, thus rebalancing cellular redox, and also showed that this is an effective multi-faceted therapeutic strategy against neurodegeneration. Supplementary Information The online version contains supplementary material available at 10.1186/s13020-024-01020-x.

A research protocol is a document that outlines the proposed research idea and is submitted to funding agencies, institutions, or journals for approval. Writing a research protocol represents a challenge, particularly for early-career researchers. In this guide, we aim to provide detailed guidance with the key components and offer practical tips for crafting a research protocol in line with the various study designs. Specifically, the structure of a research protocol should contain the following items: (1) a title that is specific, catchy, and impressive within the word limitation; (2) an abstract that briefs the critical points of the study; (3) an introduction highlighting the study context from broad to narrow and defining the knowledge gap; (4) a justification underlining the significance of the proposed study; (5) Specific, Measurable, Attainable, Relevant, and Time-bound (SMART) objective(s) and aim(s); (6) a methodology covering seven sub-items, including [i] study design and settings, [ii] study subjects, [iii] sample size calculation and sampling, [iv] participants recruitment and follow-up, [v] questionnaire development, [vi] potential variables and outcomes, and [vii] data analysis plan; (7) dissemination of the results; (8) ethics and conflict of interests; (9) budgets analysis/ funding disclosure; and (10) references. This guide will give an overview of these steps and provide clear and concise tips on how to successfully draft a scientific protocol. With careful planning and appropriate guidance, it is possible to develop a well-structured and compelling protocol to obtain approval for the conduction of the study or funding from agencies, institutions, or organizations.

This article focuses on critical aspects of the Vietnamese Law on Persons with Disabilities. It addresses the conditions necessary to implement policies, including medical facilities, orthopedics, and rehabilitation centers, as well as provisions for educational needs, policies for learners, teachers, and educational infrastructure. It also examines regulations preventing the refusal of employment to qualified individuals with disabilities and the roadmap for investing in the construction, renovation, and upgrading of public buildings, transportation, and communication technologies to ensure accessibility. The article evaluates the legal framework concerning certification, initial healthcare, education, vocational training, employment opportunities, and cultural and spiritual conditions for persons with disabilities (PwDs). It identifies limitations and inadequacies within these provisions and offers recommendations to improve legal regulations, safeguarding the rights of PwDs in healthcare, education, vocational training, employment, and living conditions in Vietnam.

In this work, we investigate systematically the electronic properties and tunable contact behavior of the graphene/γ-GeSe heterostructure under applied electric fields and out-of-plane strains using first-principles calculations. At equilibrium, the heterostructure forms a p-type Schottky contact with low Schottky barrier, making it suitable for low-resistance electronic devices. The application of electric fields modulates the Schottky barriers, enabling transitions between p-type and n-type contacts and even Schottky to Ohmic contact. Similarly, strain engineering by adjusting the interlayer spacing effectively alters the contact types, with compressive strain reducing the Schottky barrier to zero, and tensile strain inducing a shift from p-type to n-type Schottky contact. Our findings provide a pathway for optimizing graphene/γ-GeSe heterostructures for multifunctional applications, emphasizing tunable electronic properties to enhance device performance.

Using first-principles density functional theory (DFT), this study examines the improved chemical catalytic performance and biochemical sensing capabilities of iron (Fe) and gold (Au) nanoclusters decorated flawless γ-graphyne (GPN) as nanocarriers for the Ertapenem (EPM) antibiotic drug, in contrast to pristine γ-graphyne. The evaluation of binding energy analysis, it has been noted that perfect GPN (-0.96 eV), Au-decorated GPN (-1.852 eV), as well as Fe-decorated GPN (-1.520 eV), can be suitable candidates for drug delivery, as the binding energy falls in the physisorption to chemisorption range. There is a red shift in the ultraviolet-visible (UV-Vis) spectrum when EPM is adsorbed on the Fe- and Au-decorated GPN surfaces in comparison to the pristine substrates. Based on thermodynamic parameters, the values of Gibbs free energy changes (ΔG) and enthalpy change (ΔH) illustrate a strong interaction between EPM and the Au-decorated GPN (F: -1.130 and − 2.288 eV) in contrast to EPM with the Fe-decorated GPN carrier (I: -1.190 and − 2.210 eV), indicating that the interaction is stable and spontaneous. The Fe-decorated GPN improves the adsorption of EPM with a small binding energy, facilitated by a greater charge transfer from the substrate as an electron donor to the drug. This phenomenon results in a significant rise in dipole moment and a change in the energy gap. The results indicate that Fe-decorated GPN surface can serve as carriers for delivering the EPM drug.

Silicofluorophosphate (PSEu) glasses doped with various amounts of Eu2O3 were fabricated by the melt quenching technique to know their potential use in reddish-orange lighting, especially in scintillator properties. Refractive indices, densities, and molar volumes of the PSEu glasses were obtained. Functional groups of the prepared glasses were studied in the range of 500 to 4000 cm⁻¹ using infrared spectroscopy. The absorption of PSEu glasses was studied in the range of 350–2400 nm range and contained peaks from the ⁷F1 and ⁷F0 ground levels. The excitation band at the ⁷F0 → ⁵D2 (463 nm) transition is of interest in the present work to estimate the phonon energy value (1222 cm⁻¹) of the host glass using the PSB (phonon side band) spectroscopy. JO theory was applied to determine the Ω2, 4, 6 intensity parameters by fitting the calculated and experimental oscillator strengths of the various absorption bands of Eu³⁺ ions. The asymmetric ratio between ⁵D0 → ⁷F1 and ⁵D0 → ⁷F2 emission transitions was calculated due to the dependences of Eu³⁺ ions on local symmetry at the ⁵D0 → ⁷F2 emission transition. The decay curves for the ⁵D0 (614 nm) state of Eu³⁺ were measured upon 394 nm stimulation, which exhibits the single exponential nature in PSEu glasses. The color coordinates (x, y) of PSEu glasses were located near the reddish-orange zone. The radioluminescence characteristics of PSEu glasses and BGO crystal were studied under x-ray excitation in terms of scintillation efficiency.

Recently, resource allocation in cloud computing has become a popular research topic. Hi-WAY is a scientific workflow management system that facilitates workflows involving large-scale inputs such as big data. Hadoop, a framework designed to implement distributed systems, allows Hi-WAY to be run on thousands of computing nodes with desirable fault tolerance. Task scheduling is not difficult in a homogeneous Hadoop system, where computing nodes have identical specifications. However, task scheduling could be problematic in heterogeneous systems, where specifications such as processor power, memory, and bandwidth may vary from node to node. This paper introduces a workflow scheduler on the Hadoop framework (WSH), accounting for system heterogeneity when scheduling computing- and IO-intensive jobs. WSH uses a training task to collect information before distributing jobs. The results demonstrate effective job allocation and load balancing improvement in Hadoop, leading to increased resource efficiency and reduced makespan. Based on various experiments and the use of different workflows, the proposed method improves the scheduling length ratio by 42%, reduces makespan by 20%, and enhances speedup by approximately 37% compared to the algorithm.

Erectile dysfunction (ED) shares common risk factors with cardiovascular (CV) disease, such as a sedentary lifestyle, obesity, and metabolic syndrome. However, the relationship between ED and CV risk in Vietnam remains unknown. To investigate this, we conducted a multi-center observational study, randomly selecting 2,936 men aged 40 to 69 years in Vietnam, with 385 participants included after exclusions. The study evaluated the 10-year CV risk using the Systematic Coronary Risk Evaluation 2-Diabetes (SCORE2-Diabetes) score and assessed ED using the International Index of Erectile Function (IIEF-5) score. Results showed that men with diabetes mellitus and hypertension had significantly lower IIEF-5 scores compared to healthy individuals (18 [15–22] vs. 23 [20–24], p < 0.001). Additionally, the IIEF-5 score proved effective in identifying patients at very high CV risk, with an area under the curve (AUC) of 0.747, a cutoff point of 18.5, sensitivity of 69.6%, and specificity of 69.9%. Furthermore, we found a significant inverse correlation between SCORE2-Diabetes and IIEF-5 (ρ = -0.45 and p < 0.001). These findings establish a significant connection between ED and CV risk in men with diabetes, underscoring the need for integrated screening and management strategies to address both conditions concurrently. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-78182-z.