Infinite Potential Research Articles

Death and Spirit in Hegel’s Philosophy of Nature

The text discusses the problem of the relationship between nature and thinking in Hegel’s Encyclopaedia of the Philosophical Sciences (1830). By considering the dialectics of natural life and the significance of death of the individual for the emergence of spirit in nature, it is argued that spirit, in the Hegelian perspective of speculative thinking, does not emerge from nature as its otherness, as „a more beautiful nature“ that has overcome death. Rather, it appears as a negativity and impotence in nature itself, as the infinite potential of Nature‘s mutability. This highlights the ambivalent unity of nature and thought and the threat of the naturalisation of each.

Improving Crystal Property Prediction from a Multiplex Graph Perspective.

Graph neural networks (GNNs) have proven to be effective tools for the rapid and accurate prediction of crystal properties. While most existing methods focus on enriching representations of crystal structures, they do not deeply explore the characteristics of crystal graphs and leverage their intrinsic information from a data science perspective. In this work, we propose the potential multiplex crystal graph neural network (PMCGNN) for crystal property prediction. Based on the characteristics of crystal graphs, we reconstruct the crystal graph into a multiplex graph that includes two views: a global crystal graph embodying infinite potentials and a local crystal graph capturing local atomic interactions. We employ graph transformers (GTs) and message passing neural networks (MPNNs) architectures to learn the atomic representations of these two perspectives. Specifically, we augment the GT by incorporating positional encodings and structural encodings from the local crystal graph. This approach promotes interaction between the two perspectives, enabling the model to learn both node positional and graph structural information from different viewpoints through an attention mechanism. As a result, it enhances the model's ability to learn crystal representations. We conduct comprehensive experiments on the JARVIS and the Materials Project data sets for evaluation. Results show that PMCGNN presents superior performance in 9 crystal prediction tasks while maintaining reasonable computational expense.

Establishment of an immortalized sheep mammary epithelial cell line for studying milk fat and protein synthesis.

The mammary gland, crucial for milk production in mammals, presents challenges for in vitro study due to its complex structure and limited cell lifespan. We addressed this by introducing the SV40 large T antigen into primary mammary epithelial cells (MECs) from sheep, creating an immortalized T-tag MEC line. This line, stable for over 50 passages, maintained typical epithelial cell morphology during long-term culture. Through transcriptome sequencing and validation, we discovered 3833 differentially expressed genes between MECs and T-tag MEC line, encompassing key biological processes and signaling pathways like cell cycle, p53, and cancer. The cell line, expressing MEC markers (KRT8, KRT18, proliferating cell nuclear antigen, SV40, CSN2, and acetyl-CoA carboxylase alpha), proved capable of synthesizing milk fat and protein. Despite its infinite proliferation potential, the T-tag MEC line showed no tumor formation in mice or cell migration in vitro, indicating stability. This development offers a valuable resource for studying MECs in dairy sheep, facilitating the advancement of long-term culture systems and in vitro lactation bioreactors.

Infinite Potential of AI Chatbots: Enhancing User Experiences and Driving Business Transformation in E-commerce: Case of Palestinian E-Commerce

In the much-evolving digital age landscape, it is difficult to overlook artificial intelligence's enormous role in people. This study entails an empirical examination of the impact of AI-powered chatbots on improving customer experience, customer satisfaction, and potential benefits in the digital era. This study was handled by the use of quantitative data collection methods through an online survey from 221 online users of AI-powered chatbots in Palestine. The collected data was then analyzed using descriptive statistics and structural equation modeling techniques. According to the results, it was shown that service quality significantly influenced the intention to use chatbots by customers or users thus indirectly influencing the net benefits enjoyed by users in the digital era. Similarly, the service quality provided by AI-powered chatbots was found to significantly influence the intention to use them, thus indirectly influencing the net benefits of AI-powered chatbots. Additionally, service quality was found to influence user satisfaction with chatbots, which indirectly influenced the net benefits enjoyed by users/customers in the digital era. On the other hand, user satisfaction significantly and directly influenced the net benefits of AI-powered chatbots in the digital era. In this regard, this study significantly contributed to the AI-powered chatbot's body of knowledge in the Palestinian digital context by identifying the factors that influence the use of chatbots in the digital era from the users’ point of view with the capacity to help transform the Palestinian business landscape

High Entropy Alloys as High Performance Catalysts for Electrolytic Water Splitting

Renewable energy driven electrolytic water splitting is a required technology for low-carbon hydrogen production to achieve the goal of net-zero CO2 emission by 2050. This technology also serves as a necessary energy storage route to resolve the intolerable intermittency and unreliability issues of renewable energies. The prevailing of this hydrogen production technology however is restricted by the high cost of electricity. Consequently, developments of cost–effective highly efficient and stable electrocatalysts to drive the electrolytic water splitting reactions are the key. In terms of catalyst developments, mono-component systems are first explored, followed by multi–component systems, taking advantages of possible positive synergy between constituent components. Recently, a new class of multi-component catalyst systems, entropy-stabilized materials, including alloys, oxides, sulfides, phosphides, etc., emerges and is demonstrated promising performances toward electrocatalysis. In light of the variable and flexible element compositions, entropy-stabilized materials provide infinite and enormous potentials for the design of promising electrocatalysts. The key is to maximize the synergy between constituent components. High entropy alloys (HEA), defined as alloys composed of five or more major metallic elements, have been under intensive and extensive development in past fifteen years for their extraordinary mechanical, magnetic, corrosion, and catalytic properties. Herein, an equi–molar FeCoNiCuMo HEA on nickel foam was developed as a breakthrough catalyst for electrocatalytic water splitting, in terms of both activity and stability, in pH-universal media and in severe industrial operation conditions. Furthermore, a new catalytic phenomenon is discovered. Two different catalytic mechanisms function simultaneously on different constituents of the catalyst, and the synergistic interactions between the two categorical domains leads to catalytic kinetics faster than the theoretical limit set by a single rate-limiting step, Tafel step of the Volmer-Tafel route. A new kinetic model is developed to predict a new theoretical lower limit of Tafel slopes of 15 mV/dec based on a synergistic interaction between the two categorical domains of the high entropy alloy catalyst. This new development proves that the theoretical lower limit of Tafel slope of 30 mV/dec posed for the Volmer-Tafel mechanism functioning on a single component catalyst can be further reduced to 15 mV/dec through synergistic interactions between two categorical domains of a multi-component catalyst. It is demonstrated that high entropy materials, composed of five or more atomically/molecularly well-mixed major components, are intrinsically promising candidates for realization of quantum leaps in catalytic performances of catalysts.

Effect of dissolved KOH and NaCl on the solubility of water in hydrogen: A Monte Carlo simulation study.

Vapor-Liquid Equilibria (VLE) of hydrogen (H2) and aqueous electrolyte (KOH and NaCl) solutions are central to numerous industrial applications such as alkaline electrolysis and underground hydrogen storage. Continuous fractional component Monte Carlo simulations are performed to compute the VLE of H2 and aqueous electrolyte solutions at 298-423K, 10-400bar, 0-8 molKOH/kg water, and 0-6 molNaCl/kg water. The densities and activities of water in aqueous KOH and NaCl solutions are accurately modeled (within 2% deviation from experiments) using the non-polarizable Madrid-2019 Na+/Cl- ion force fields for NaCl and the Madrid-Transport K+ and Delft Force Field of OH- for KOH, combined with the TIP4P/2005 water force field. A free energy correction (independent of pressure, salt type, and salt molality) is applied to the computed infinite dilution excess chemical potentials of H2 and water, resulting in accurate predictions (within 5% of experiments) for the solubilities of H2 in water and the saturated vapor pressures of water for a temperature range of 298-363K. The compositions of water and H2 are computed using an iterative scheme from the liquid phase excess chemical potentials and densities, in which the gas phase fugacities are computed using the GERG-2008 equation of state. For the first time, the VLE of H2 and aqueous KOH/NaCl systems are accurately captured with respect to experiments (i.e., for both the liquid and gas phase compositions) without compromising the liquid phase properties or performing any refitting of force fields.

Human-Nature Connection: Eco-ethical Reading of Louise Gluck’s The Wild Iris

Relationship connotes a power relation of one reaping the benefits at the expense of the other; where connection demands mutual respect and benefits on both sides. In a transactional and utilitarian view, nature has been conceptualized as a source on which humanity consumes. However, ecofeminists believe that there is another way possible that offers mutual coexistence and respect. This brings us to understand nature is neither a source nor only a victim; it is an entity that deserves ethical behavior from human beings. This paper finds a sense of such ethicality in Louise Gluck’s poetry collection ‘The Wild Iris’ (1992) where her use of images reinvents human-nature connectivity through humanity’s realization of its mortality and the natural world’s infinite spiritual renewal and potential for regeneration. Reading her poetry from an ecofeminism perspective by applying the insights of Val Plumwood, this paper claims that environmental ethics is a profit-loss calculation, thus representing humanity’s relationship to nature, where eco-ethical reading demands subtle ways of forging interconnection between humans and nature.

Effect of Heat Leakage on Relativistic Quantum Lenoir Engine Performance with a Massless Boson as Working Substance in the Infinite Potential Box

A study on the effect of heat leakage on power output, thermal efficiency, and reversibility rate in a relativistic quantum Lenoir engine has been conducted. Initially, we analogize the quantum working substance of the engine, a massless boson trapped in an infinite potential box with a movable right wall, as an ideal gas confined in a pistoned cylinder. Then, the total work, heat input, and heat output of each engine cycle which consists of isochoric, adiabatic expansion, and isobaric compression are extracted by applying the concept of quantum thermodynamics. Finally, power output, thermal efficiency, and reversibility rate of the engine are calculated for different variations of the heat leakage constant. The results are the relationship between several parameters which are expressed in the graph of thermal efficiency vs. compression ratio, graph of efficiency/normal efficiency vs. compression ratio, power output vs. efficiency, and reversibility rate vs. compression ratio. The conclusion is that an increase in heat leakage has an effect on reducing the efficiency and reversibility rate of the engine but does not affect its power output. This work will provide a new chapter for further research related to the use of the boson particle as a working substance in the quantum heat engine, especially the study of the heat leakage effect on engine performance.

Exploring precision treatments in immune‐mediated inflammatory diseases: Harnessing the infinite potential of nucleic acid delivery

AbstractImmune‐mediated inflammatory diseases (IMIDs) impose an immeasurable burden on individuals and society. While the conventional use of immunosuppressants and disease‐modifying drugs has provided partial relief and control, their inevitable side effects and limited efficacy cast a shadow over finding a cure. Promising nucleic acid drugs have shown the potential to exert precise effects at the molecular level, with different classes of nucleic acids having regulatory functions through varying mechanisms. For the better delivery of nucleic acids, safe and effective viral vectors and non‐viral delivery systems (including liposomes, polymers, etc.) have been intensively explored. Herein, after describing a range of nucleic acid categories and vectors, we focus on the application of therapeutic nucleic acid delivery in various IMIDs, including rheumatoid arthritis, inflammatory bowel disease, psoriasis, multiple sclerosis, asthma, ankylosing spondylitis, systemic lupus erythematosus, and uveitis. Molecules implicated in inflammation and immune dysregulation are abnormally expressed in a series of IMIDs, and their meticulous modulation through nucleic acid therapy results in varying degrees of remission and improvement of these diseases. By synthesizing findings centered on specific molecular targets, this review delivers a systematic elucidation and perspective towards advancing and utilization of nucleic acid therapeutics for managing IMIDs.

Educative Spaces Full of Potential: Kairos Moments and Quantum Leaps

In this paper I share stories about beautifully complex and novel pathways for learners on the margins within my under-resourced Grade 2 community school classroom. I challenged practices of schooling that produced static understanding of children, and ones in which they were compared to the average, by embracing kairos moments. Kairos moments are distinct spaces full of potential that ebb and flow in unexpected ways and may lead to unanticipated outcomes. Inspired by new materialist scholarship, I worked at the intersection of theory and practice to go beyond common inclusive and self-regulatory educational strategies, to focus on the complex relationships involving children and their material contexts. Through the story of the magic pencil and the story of the invisible string, I illuminate the infinite potential within pedagogical spaces.

Design and synthesis of different sized polyhedral channel MOF materials for the separation of CO2/N2

A fractal polyhedral pore structural MOFs (Cu-TATB) is synthesized from the coordination of tridentate ligands (H3TATB) and Cu4 clusters. This material is characterized by single crystal X-ray diffraction, powder X-ray diffraction, thermogravimetric analysis. The structure contains two different pore structures, including closed octahedral cages and open tetrakaidecahedron cages. The material has been successfully utilized for the separation of CO2/N2 due to the fractal structure of the channel with different pore sizes. Under optimized temperature, Cu-TATB adsorbed a large amount of CO2 and only negligible amount of N2, and the selectivity reaches 27. Breakthrough experiments demonstrated that this material can efficiently separate N2 and CO2. This structure further demonstrates the infinite potential of 3D MOFs with diverse pore structures in applications such as CO2 adsorption and separation.

Abstract 4551: A novel MET antibody-drug conjugate based combination therapy to overcome colorectal cancer plasticity and drug resistance

Abstract Despite therapeutic advancements, colorectal cancer (CRC) remains the second deadliest malignancy in the United States. Challenges encountered in CRC treatment may be attributed to cancer stem cells (CSC), an immortal tumor cell population. CSCs potentiate tumor relapse by exploiting its infinite replicative potential and inherent drug resistance. Moreover, CSCs exhibit plasticity, allowing them to transition between differentiated and undifferentiated states in response to environmental cues to evade therapy and drive metastatic progression. MET is a receptor tyrosine kinase frequently upregulated in CRCs. We previously demonstrated that treatment with chemotherapies or antibody-drug conjugates (ADCs) targeting the CSC marker LGR5 led to the loss of LGR5 expression with concomitant MET-STAT3 pathway activation in therapy-resistant CRC cells. Further, we showed that LGR5 couples to the scaffold protein IQGAP1, which correlates with poor prognosis in several cancer types. Interestingly, our new data revealed that LGR5 knockdown enhances IQGAP1 interaction with MET and STAT3 via co-immunoprecipitation assays, suggesting a role for IQGAP1 in mediating MET-STAT3 activation and plasticity of LGR5+ CRC cells. To overcome therapy-induced plasticity, we generated MET-targeting ADCs conjugated to DNA-crosslinking payloads. First, we cloned and produced MET monoclonal antibodies (mAbs) and evaluated them for specificity and binding in a panel of CRC cell lines expressing different MET protein levels. MET mAbs demonstrated high selectivity for MET-expressing CRC cells and internalized to lysosomes, which is necessary for ADC payload release. To generate MET ADCs, we employed a site-specific conjugation methodology to attach cleavable peptide linker-drug moieties to the highest affinity MET mAb. MET ADCs were evaluated for cancer cell-killing efficacy in vitro in parallel with MET mAb, non-targeting control mAb (cmAb), and control ADC (cADC). Our MET ADC displayed high potency and efficacy in MET-expressing CRC cells, whereas MET mAb, cmAb, and cADC had minimal effects. MET ADCs were then tested in combination with chemotherapies or other targeted therapies. The combination of MET ADCs with 5-fluorouracil showed a synergistic effect in vitro. Future work involves investigating the safety and efficacy of MET ADCs alone and combined with chemotherapies in xenograft models of CRC. These findings present a mechanism underpinning CRC plasticity and the rationale for a novel treatment modality to potentially overcome CRC resistance and relapse. Citation Format: Shraddha Subramanian, Tressie A. Posey, Joan Jacob, Adela Aldana, Kendra S. Carmon. A novel MET antibody-drug conjugate based combination therapy to overcome colorectal cancer plasticity and drug resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4551.

Abstract 4552: EGFR inhibitors increase LGR5 expression and enhance potency of LGR5 antibody-drug conjugates targeting colorectal cancer stem cells

Abstract Colorectal cancer (CRC) is the second leading cause of cancer-associated deaths in the United States. One of the primary challenges in treating CRC is therapy resistance thought to be mediated by cancer stem cells (CSCs), a subpopulation of cancer cells with infinite replicative potential that can differentiate to drive tumorigenesis and disease relapse. Antibody-drug conjugates (ADCs) are amongst the fastest growing classes of anticancer drugs and utilize the specificity of monoclonal antibodies (mAbs) to hone cytotoxic payloads to cancer cells. We generated ADCs directed against leucine-rich repeat-containing G protein-coupled receptor 5 (LGR5), a well-defined biomarker of CSCs that is highly overexpressed in CRCs. LGR5 ADCs demonstrated high specificity and efficacy in CRC cells and xenograft models, though tumor relapse after treatment withdrawal was a major obstacle. Interestingly, FDA-approved therapy targeting epidermal growth factor receptor (EGFR) has been shown to increase LGR5 mRNA expression levels in patient-derived models of CRC. This study aims to determine the mechanism of EGFR-mediated regulation of LGR5 expression and evaluate the therapeutic efficacy of combination treatments targeting EGFR and LGR5 for the improved treatment of CRC. To first analyze the effect of EGFR inhibition on LGR5 expression, a panel of CRC cell lines of different KRAS and PI3CKA mutational statuses were treated with FDA-approved EGFR-targeted mAbs or small molecule inhibitors. LGR5 protein expression was shown to be upregulated by EGFR-targeted therapies in a dose- and time-dependent manner, independent of mutation status. Notably, treatment with EGF, MEK1/2 inhibitor trametinib, and EGFR-directed siRNA all resulted in concomitant reduction in EGFR and LGR5 protein levels, suggesting EGFR and LGR5 are co-degraded. Co-immunoprecipitation and immunocytochemistry experiments identified a novel EGFR-LGR5 interaction and co-internalization mechanism in CRC cells, respectively. Furthermore, we showed EGFR-LGR5 interaction is enhanced by treatment with the EGFR-targeting mAb, cetuximab (CTX). To evaluate efficacy of combination therapies targeting EGFR and LGR5, CRC cells were treated with LGR5 ADCs with or without CTX. Importantly, we showed CTX significantly enhanced the potency of LGR5 ADCs incorporating different classes of cytotoxic payloads. These results suggest combining LGR5 ADCs with EGFR inhibitors may be a more effective approach for the treatment of CRC and eliminating CSCs to overcome resistance and relapse. Citation Format: Peyton C. High, Zhengdong Liang, Kendra S. Carmon. EGFR inhibitors increase LGR5 expression and enhance potency of LGR5 antibody-drug conjugates targeting colorectal cancer stem cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4552.

Teledentistry in Periodontal Diagnosis: A New Age Practice

 Background: Teledentistry is same as telemedicine. It has come out as a new diagnostic tool for different disciplines of dental care. As a part of teledentistry, teleperiodontics concentrates on the application of digital technology for communication and facilitate the innovative technology of telecommunications in the field of periodontics. The teleperiodontics has an infinite potential of access to the periodontitists from a distant rural area and thus enhance effective delivery of oral health care to the remote under privileged rural areas. It will make easier for early diagnosis of periodontal disease to treat it in its early stage. It allows the periodontitists and the patients to interact through video conferencing and data exchange system. But teleperiodentistry is in its infant stage and not much penetrated into the diagnosis and treatment field of periodontics. Hence, the objective of this survey study was to assess the attitude, knowledge, and application of teleperiodontistry in day to day practice among the periodontitists and other dental practitioners at different levels. Material and Method: A questionnaire comprising of 27 close ended questions to evaluate the attitude, knowledge, and practice of teleperiodentistry and teledentistry was circulated among the dental surgeons of dental colleges present in Karnataka. Result: A total of 120 responses were received. Majority of the responses were not aware about teleperiodentistry and also not agreed for diagnosing and prescribing oral hygiene practices and medicines for management of periodontal health. Conclusion: The potential of teleperiodentistry needs to be delved into by the periodontitists with an objective to deliver a better periodontal care to distant patients who are unable to visit them.

Supporting future roles of millennials in rural agriculture retail: The role of technology in continuing education solutions

AbstractRural agriculture retailers, or those engaged in the production of food, fiber, and fuel, are pressed to find just‐in‐time solutions for continual learning with their adult employees, specifically millennials, the generation who will assume future leadership roles. Adult educators in rural settings, or lower populated areas, are encountering rapid technological change and need to transform how they impact learners in and out of the classroom through experiential learning. Technological solutions considered an integral component of Science, Technology, Engineering, and Math (STEM) initiatives, may provide continual learning avenues for millennial employees. This article offers effective ways to engage millennials in agriculture through facilitating peer mentoring, supporting soft skill development, and building the infinite potential of learning and growth in STEM content.

Summing over non-singular paths in quantum cosmology

In this paper we provide the DeWitt propagator and its wave function in quantum cosmology using the path integral formulation of quantum gravity. The DeWitt boundary condition is introduced as a way to avoid the Big Bang singularity by positing that the wave function of the Universe vanishes near the Big Bang. However, there is currently no clear definition of the DeWitt boundary condition in the path integral formulation. To address this issue, we use the image method, which eliminates singular paths in the forbidden region of the infinite potential, and apply this method to quantum cosmology based on the Batalin–Fradkin–Vilkovisky formulation of the path integral. We investigate the validity of the image method, and in particular, find that this method is only appropriate when the potential has symmetry with respect to the boundary. We then show that the DeWitt propagator and the DeWitt wave function derived from the image method are consistent with solutions of the Wheeler–DeWitt equation for certain models of quantum cosmology.

Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones.

Abstract Mobile health (mHealth) with continuous real-time monitoring is leading the era of digital medical convergence. Wearable devices and smartphones optimized as personalized health management platforms enable disease prediction, prevention, diagnosis, and even treatment. Ubiquitous and accessible medical services offered through mHealth strengthen universal health coverage to facilitate service use without discrimination. This viewpoint investigates the latest trends in mHealth technology, which are comprehensive in terms of form factors and detection targets according to body attachment location and type. Insights and breakthroughs from the perspective of mHealth sensing through a new form factor and sensor-integrated display overcome the problems of existing mHealth by proposing a solution of smartphonization of wearable devices and the wearable deviceization of smartphones. This approach maximizes the infinite potential of stagnant mHealth technology and will present a new milestone leading to the popularization of mHealth. In the postpandemic era, innovative mHealth solutions through the smartphonization of wearable devices and the wearable deviceization of smartphones could become the standard for a new paradigm in the field of digital medicine.

Axially symmetric quadrupole-octupole incorporating sextic potential

We present an extended application of the analytic quadrupole octupole axially symmetric model, originally employed to study the octupole deformation and vibrations in light actinides using an infinite well potential (IW). In this work, we extend the model's applicability to a broader range of nuclei exhibiting octupole deformation by incorporating a sextic potential instead of the Davidson potential. Similarly to conventional models, such as AQOA-IW (for infinite square potential) and AQOA-D (for the Davidson potential), our proposed model is referred to as AQOA-S. By employing the sextic potential, phenomenologically represented as v(β˜)=a1β˜2+a2β˜4+a3β˜6, we can derive analytical expressions for the energy spectra and transition rates (B(E1), B(E2), B(E3)). The energy spectra of the model are essentially governed by two critical parameters: ϕ0, indicating the balance between octupole and quadrupole strain, and α, a key factor in adjusting the shape and behavior of the spectra through the sextic potential. In terms of applications, the study encompasses five isotopes, namely 222−226Ra and 224,226Th. Significantly, our model demonstrates remarkable agreement with the corresponding experimental data, particularly for the recently determined B(EL) transition rates of 224Ra, surpassing the performance of the model that employs the Davidson potential. The stability of the octupole deformation in 224Ra adds particular significance to these findings.

Solving exact solution of time independent Schrodinger wave equation and visualizing eigenfunctions using XCOS

Time independent Schrodinger wave equation (SWE) for a quantum system can be solved computationally which involves application of numerical method. Different computational tools used to solve SWE involving different potentials were reviewed. XCOS, an inbuilt tool of Scilab for modelling and simulating hybrid dynamic system and is an open-source is used to solve the Schrodinger wave equation for different quantum systems. Only basic understanding of mathematics up to high school level is required to solve Schrodinger wave equation using XCOS. Different quantum systems considered are free particle in a well bounded by infinite potential at the boundaries, radial part of SWE for Hydrogen atom under coulombic potential, screened coulombic potential. Radial part of Schrodinger wave equation for a particle under harmonic and anharmonic potential were also solved using XCOS computational tool. Eigenvalues and eigenvectors were obtained by solving radial part of Schrodinger wave equation for molecules under Morse potential. Advantages and limitation of XCOS computational tools were also discussed. We argue in favour of the academic use of computational tool XCOS to solve Schrodinger wave equation in introductory quantum mechanics courses.

License plate Chinese character recognition based on ViT model

Transformer applications have been widely used in the computer vision field. Many related literatures show that the advantages of the model such as increased receptive field and globality are gradually emerging in image processing. However, with the popularity of the transformer, whether it can compete with the convolutional neural network (CNN) in terms of performance is still questionable and remains to be further studied. This paper will use the most basic structural model in the visual transformer (ViT) to classify and identify Chinese characters that are frequently used in the field of transportation and logistics and compare them with two classical CNN models. The results demonstrate that the performance of the transformer is obviously better than that of the traditional CNN structure, and the final accuracy of character recognition is higher than that of CNN, up to 98.66 %. It fully shows the infinite potential and excellent performance of the transformer in the area of computer vision and has high reliability and generalization ability.