Transitional Model Research Articles

Determination of Wind Force Acting on an Object in the Shape of a Bent Pipe

The aim of the paper is to determine the aerodynamic forces acting on a torus-shaped structure fragment at high wind velocity which are impossible to obtain from the existing standard EN 1991-1-4 (the so-called wind standard). The most important problem is the correct modeling of turbulence and laminar-turbulent transition in the conditions of flow interference resulting from the presence of other obstacles. For this reason, forces are obtained by two methods: Fluid-Structure Interaction (FSI, force transfer) and User-Defined Functions (UDF). Variations of the total aerodynamic lift force of the half of the torus with angle β and velocity of wind w, and the formula for estimating the horizontal force Pz perpendicular to drag force are presented. Additionally, useful engineering parameters (such as pressure distribution and air velocity field) are determined. The forces of wind influence on two cylinders and a torus-shaped object are obtained and compared

A nurse-led, telehealth transitional care intervention for people with multimorbidity: a feasibility study

Objective: We aimed to develop and test the feasibility of a nurse-led, telehealth transitional care intervention for people with multimorbidity. Design and methods: A feasibility study, using quantitative and qualitative methods was conducted at an 800-bed acute metropolitan hospital from March 2021 to January 2022. Eligible participants were adult inpatients with multimorbidity. The intervention involved three stages: (1) baseline risk of readmission assessment and collaborative development of a Transition Action Plan; (2) transitional care coordination following hospital discharge, and (3) handover to the primary healthcare provider. A Transition Coordinator delivered the intervention with the aim of determining the intervention’s feasibility in a practice environment. Acceptability to patients was assessed using a feedback survey. Acceptability to staff was noted through recorded interactions, collaboration, and feedback. Results: Twenty-one adults with a mean age of 78 years participated in the intervention. Participants had 3-10 comorbid chronic conditions, and the most common were hypertension (71%), other cardiovascular (66%), renal (52%), and diabetes (47%). Most patients (52%) were at medium risk of readmission and 38% were at high risk, however, only 24% of patients were readmitted. The study identified there is no routine risk of re-admission screening for patients with multimorbidity, and the intervention was found to be acceptable and feasible to patients, ward staff, and the multidisciplinary team. Conclusion: The results indicated feasibility of a transitional care intervention for people with multimorbidity, and the need for routine risk of readmission screening for people with multimorbidity. Further research is required to determine if the intervention is cost-effective and associated with reduced rates of hospital readmission. What is already known about the topic? People with multimorbidity often receive fragmented health services, which may increase their risk of hospital readmission. Internationally, Transitional Care Model interventions improve the transition experience from acute hospital care to the community and reduce short-term readmission rates, for people with multimorbidity. Transitional Care Model interventions have shown improved health and economic benefits for older adults. However, these benefits have not been evaluated in Australia. What this paper adds This study provides evidence regarding the feasibility and acceptability of a low-cost, nurse-led, transitional care intervention to support people with multimorbidity transitioning from acute hospital care to home/community, in the Australian context. The study identified high support needs of participants upon transition and provides preliminary evidence in favour of a fundamental shift from discharge planning to stratified transition planning for patients with multimorbidity. Presently, on hospital admission, there is no systematic risk of readmission assessment or transition care planning and implementation for people with multimorbidity. This is a notable service gap requiring redress across South Australian Local Health Networks.

Non-liberal parables for the Millennium: speculative pasts of the West and other futurities

ABSTRACT This paper is a reading of the Earthseed novels by Octavia Butler, also known as the Parable novels, and Millennium, aka the globally bestselling Girl with the Dragon Tattoo novels, by Swedish journalist Stieg Larsson. Both series are critical texts from nation-states that have been considered exemplary transitional models, and I read both as emblematic of a speculative turn in contemporary cultural production and criticism. Reading them together shows how the speculative turn has formed across existing disciplines and geo-political sites; reading them together as part of this Inter-Asia volume situates such a transnational assessment of the West as a difficult, contradictory speculative project within the post-Cold War world of Pax Americana. I argue that both series unpack the idea of the liberal West by connecting narratives of dis/empowerment for female protagonists to the historical trajectories of fascistic white supremacism and racial capitalism. Both series are of interest to this in-between Inter-Asia project to the extent that their open-ended SF narrative elements unravel both speculative futures for neoliberal presents and speculative pasts for the Cold War construction of the liberal.

Contribution to Sustainable Development from the Indigenous Perspective: Existence through an Ethno-Educational Vision

Fifty-two years have passed since the first conference on "the Human Environment," convened by the United Nations, which referred to the human focus because anthropocentrism was still prevalent on the planet; such an observation is necessary in light of what the species' media intervention implies for the environment in the deterioration of environmental conditions, to the detriment of everyone's well-being, including, of course, other species and the mechanisms through which their life flows—this being a superior prerogative, at least from the perspective of legal rights, but ultimately also natural. In summary, this paper addresses the essential role of ethnoeducation in sustainable development, when it is feasible to achieve a consensus in the restoration from a broad dimension, also acknowledging that their ancestral constructs have much to contribute to a transitional social model that is conscious of the changes that must prevail in order to mitigate an environmental crisis in which human beings are deeply involved—as instigators but also as victims; the same crisis that has been analyzed since 1972, but with approaches in which the discourse has been restructured regarding the causes and the responsible actors, even acknowledging a perception of population sectors whose historical condition of marginalization has relegated them from an essential role in this process.

Semi-mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine.

Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease-induced and treatment-related cytopenias. Venetoclax, a selective BCL-2 inhibitor, in combination with azacitidine, a hypomethylating agent, is currently being investigated in patients with previously untreated higher-risk MDS. We present an integrated semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model developed using preliminary clinical data from an ongoing Phase 1b study evaluating the safety and efficacy of venetoclax in combination with azacitidine in treatment-naïve patients with higher-risk MDS. Longitudinal data from 57 patients were used to develop the model, which accounted for venetoclax PK and azacitidine treatment to describe time dynamics of bone marrow blasts, neutrophils, red blood cells, and platelets. The proliferation and maturation of progenitor cells in the bone marrow to peripheral cells is described via three parallel connected transit models including feedback terms. The model also accounted for bone marrow crowding and its impact on hematopoiesis. Model validation demonstrated adequate goodness-of-fit, visual and numerical predictive checks. Model predicted complete remission (CR) rates and marrow complete remission (mCR) rates closely matched observed rates in the clinical study, and simulated efficacy (recovery of blast count, CR, and mCR rates) and safety (neutropenia and thrombocytopenia) endpoints aligned with expected outcomes from various dosing regimens. Importantly, the semi-mechanistic model may aid understanding and discriminating between disease-driven and drug-induced cytopenias.

Effectiveness of the Sub-Acute Care for Frail Elderly (SAFE) Transitional Care Unit on Short-Term Functional Independence in Frail Older Patients Discharged from Hospital.

Transitional care programs help improve continuity of care and post-discharge outcomes for frail older adults who are hospitalized. In this study, we examined the effectiveness of a transitional care model, based in a long-term care (LTC) home, on the functional independence of older hospitalized patients post-discharge. We used a propensity-score matched cohort, whereby cases comprised patients who were admitted to a transitional care program-called the Sub-Acute Care for Frail Elderly (SAFE) Unit-following a hospitalization between March 1, 2018 and June 30, 2019. Controls were matched to Usual Care patients discharged from hospitals within the same health region and accrual period who did not receive transitional care in the SAFE Unit. Outcomes included acute care, LTC, and home care use within six-month post-discharge. Compared to Usual Care, SAFE Unit patients were less likely to be admitted into an LTC home (RR 0.44, 95% CI 0.23-0.86) within six months post-discharge. Additionally, on average, SAFE Unit patients spent 34 fewer days in LTC homes than controls. SAFE Unit patients also incurred significantly fewer home care service days (median: 52 days, IQR: 12-132 days) than Usual Care patients (median: 65.5 days, IQR: 19-158 days), particularly in terms of their reliance on general nursing and personal support. Both groups had similar risks of six-month hospital readmission and having an ED visit. Rehabilitative and restorative-focused care provided through transitional programs, such as the SAFE Unit, have the potential to enable independent living for older hospitalized patients discharged to the community.

Efficient Risk Assessment of Time-to-Event Targets With Adaptive Information Transfer.

Using informative sources to enhance statistical analysis in target studies has become an increasingly popular research topic. However, cohorts with time-to-event outcomes have not received sufficient attention, and external studies often encounter issues of incomparability due to population heterogeneity and unmeasured risk factors. To improve individualized risk assessments, we propose a novel methodology that adaptively borrows information from multiple incomparable sources. By extracting aggregate statistics through transitional models applied to both the external sources and the target population, we incorporate this information efficiently using the control variate technique. This approach eliminates the need to load individual-level records from sources directly, resulting in low computational complexity and strong privacy protection. Asymptotically, our estimators of both relative and baseline risks are more efficient than traditional results, and the power of covariate effects testing is much enhanced. We demonstrate the practical performance of our method via extensive simulations and a real case study.

The nexus of intelligent transportation: A lightweight Bi-input fusion detection model for autonomous-rail rapid transit

Autonomous-rail Rapid Transit (ART) possesses various advantages in intelligent transportation, but it does not effectively recognize road conditions caused solely by deploying single-modal cameras. In this paper, a lightweight fusion-based object detection neural network was designed with multi-modal sensors for the ART. Firstly, the Light Detection and Ranging (LiDAR) applied additional encoding and preprocessing to the point cloud. Secondly, a backbone and a detection head of the network structure were proposed through re-parameterization and pruning techniques. Furthermore, a fusion module was designed with a selective soft attention mechanism to fuse the extracted features. The proposed model was tested on the open autonomous driving dataset; it achieved a 7.38% improvement in mean average precision (mAP) compared to the original you only look once (YOLO) as well as other state-of-the-art (SOTA) models. Finally, practical experiments were conducted in the maintenance center of ART to simulate the operational scenarios and validate the feasibility of the proposed method in this study. By fully utilizing the information in different modalities and addressing the limitations of single-modal recognition, efforts were made to improve the robustness of road object detection for ART under different road conditions. Consequently, our method provides effective solutions which benefit intelligent transportation with advanced algorithms and strategies.

Sexual and Gender Diverse Healthcare Navigation Model: A Community-Participatory Delphi Adaptation of the Transitional Care Model for Sexual and Gender Diverse Individuals

ABSTRACT Health care transitions, movements between providers or settings, can lead to poor outcomes, higher resource utilization, and even higher costs. Health care transitions can be complex experiences for sexual and gender diverse (SGD) individuals, especially when there is a need for ongoing health care (e.g. gender-affirming therapy, depression). Engaging new providers can lead to setbacks in trust requiring self-disclosure SGD-identities all over again. The Transitional Care Model (TCM) supports improvement of outcomes associated with health care transitions; however, it has not been tailored to address the unique needs of SGD populations. A sample of adult SGD patients (n = 17) and SGD health experts (n = 11) from across the US completed a six cycle, electronic, modified Delphi process to adapt the TCM for the SGD population. The iterative process produced a TCM for SGD populations including eight refined and renamed components with SGD-specific descriptions and exemplars. The resulting model, the Sexual and Gender Diverse Healthcare Navigation Model, provides an eight-component adaptive model of transitional care that centers SGD patients and their support systems across complex health care systems. The consensus panel provided descriptions for each of the eight resulting components—identifying three foundational components—the right staffing, awareness of needs and risks, and engaging individuals and their support systems throughout transitions in care. This model stands to support improved health outcomes among SGD through a multi-component, patient centered approach to health care navigation.

CFD predictive simulations of miniature bioreactor mixing dynamics coupled with photo-bioreaction kinetics in transitional flow regime

High-throughput systems using miniaturised stirred bioreactors accelerate bioprocess development due to their simplicity and low cost. However, fluctuating hydrodynamics pose numerical challenges for coupling (bio)reaction kinetics, critical for optimisation and scale-up/down in chemical and bioprocess industries. To address this, hydrodynamic convergence was achieved by time-averaging instantaneous RANS solutions of the transitional SST model over a sufficiently long period to achieve statistical significance in step one. Subsequently, photo-bioreaction transport models, accounting for the photobioreactor’s directional illumination and curvature, were solved based on these converged fields, overcoming two-step coupling challenges in an approach not previously reported. Applied to a 0.7 L Schott bottle photobioreactor mechanically mixed by a magnetic stirrer (100–500 rpm), the model accurately predicted swirly vortex fields at 500 rpm, with a 7 % error margin for simulated tracer diffusion, and aligned biomass growth profiles with literature data on Rhodopseudomonas palustris. However, parallel computing efficiency did not scale linearly with processor count, making time-averaging computationally expensive. Also, improved bioreactor mixing enhanced biomass productivity, but rpms over 300 required increased incident light intensity (>100 Wm−2) due to observed light limitation. Hence, this model facilitates optimising stirring speeds and refining operational parameters for scale-up and scale-down processes.

Generating X-Ray Transit Profiles with Batman

We present an adaptation of the exoplanet transit model code batman, in order to permit the generation of X-ray transits. Our underlying extended coronal model assumes an isothermal plasma that is radially symmetric. While this ignores the effect of bright, active regions, observations of transits in X-rays will require averaging across multiple epochs of data for the foreseeable future, significantly reducing the importance of more complex modeling. Our publicly available code successfully generates the predicted W-shaped transit profile in X-rays due to the optically thin nature of the emission, which concentrates the expected observational emission around the limb of the photospheric stellar disk. We provide some examples based on the best known X-ray transit target, HD 189733 b, and examine the effect of varying the planet size, coronal temperature, and impact parameter on the resulting transit profile. We also derived scaling relationships for how the overall transit detectability is affected by changing these parameters. Over most of the parameter space, we find that the detectability scales linearly with the cross-sectional area of the planet in X-rays. The relationship with increasing coronal temperature is less fixed, but averages out to a power law with slope −1/4 except when the impact parameter is high. Indeed, varying impact parameter has little effect on detectability at all until it approaches unity.

AXIOMATIZATION AND FORCING IN SET THEORY WITH URELEMENTS

Abstract In the first part of this paper, we consider several natural axioms in urelement set theory, including the Collection Principle, the Reflection Principle, the Dependent Choice scheme and its generalizations, as well as other axioms specifically concerning urelements. We prove that these axioms form a hierarchy over $\text {ZFCU}_{\text {R}}$ (ZFC with urelements formulated with Replacement) in terms of direct implication. The second part of the paper studies forcing over countable transitive models of $\text {ZFU}_{\text {R}}$ . We propose a new definition of ${\mathbb P}$ -names to address an issue with the existing approach. We then prove the fundamental theorem of forcing with urelements regarding axiom preservation. Moreover, we show that forcing can destroy and recover certain axioms within the previously established hierarchy. Finally, we demonstrate how ground model definability may fail when the ground model contains a proper class of urelements.

Cost-effectiveness and cost-utility analysis of a nurse-led, transitional care model to improve care coordination for patients with cardiovascular diseases: results from the "Cardiolotse" study.

To assess the 12-month cost-effectiveness of the nurse-led transitional care program "Cardiolotse" (CL) for patients with cardiovascular diseases compared to usual care (UC). A cost-effectiveness analysis (CEA) and cost-utility analysis (CUA) were conducted from the perspective of statutory health insurance (SHI), covering a time horizon of 12 months. Analyzed outcomes included the number of rehospitalizations and health-related quality of life (HRQoL). Total costs comprised program costs and the utilization of healthcare resources. Point estimates are presented as incremental cost-effectiveness ratios (ICERs) and incremental cost-utility ratios (ICURs). Sensitivity and subgroup analyses were conducted to illustrate uncertainty and provide insights into the impact mechanisms of the CL program. The study population consisted of 2550 patients, with 1256 allocated to the intervention group and 1294 to the control group. Patients who received support from CLs experienced fewer rehospitalizations and lower inpatient costs from an SHI perspective, compared to the UC group. HRQoL assessments indicated higher utility values for CL patients at the 12-month follow-up. Total program costs amounted to €1454.65 per patient. The CEA and CUA demonstrate that the CL program is dominant compared to UC from the SHI perspective. Our study shows that the CL program not only reduces the number of rehospitalizations and costs but increases HRQoL, resulting in a dominant ICER and ICUR. Further research is necessary to evaluate longer periods of time, different levels of care intensity, and perspectives of different healthcare stakeholders. German Clinical Trial Register DRKS00020424, 2020-06-18, retrospectively registered.

An insight on the calculation of aerodynamic polars for stall-controlled wind turbines using CFD: the case of S8XX airfoils

Abstract To ensure that stall control performs correctly in wind turbines making use of this logic, having accurate airfoil data near and post the stall limit is crucial. Due to the scarcity of experimental data, Computational Fluid Dynamics (CFD) simulations are increasingly used to this end, although modelling stall is critical due to the impact of turbulence that often impacts on transition; therefore, various numerical methods have been proposed for use within a Reynolds-Averaged Navier-Stokes approach. In this study, a critical analysis has been carried out to define some best practice in the simulation of airfoils designed for stall control. Commonly adopted transitional models, i.e., the k-ω SST and the γ-Reθ ones, have been compared with the novel GEKO model by Ansys, and deriving CFD results are benchmarked against ubiquitous panel methods (XFoil and RFOIL), which still often represent an industry standard. Key performance factors have been critically compared, providing some case-specific indications on the benefits and drawback of the different models.

Aerodynamic Performance and Numerical Validation Study of a Scaled-Down and Full-Scale Wind Turbine Models

Understanding the aerodynamic performance of scaled-down models is vital for providing crucial insights into wind energy optimization. In this study, the aerodynamic performance of a scaled-down model (12%) was investigated. This validates the findings of the unsteady aerodynamic experiment (UAE) test sequence H. UAE tests provide information on the configuration and conditions of wind tunnel testing to measure the pressure coefficient distribution on the blade surface and the aerodynamic performance of the wind turbine. The computational simulations used shear stress transport and kinetic energy (SST K-Omega) and transitional shear stress transport (SST) turbulence models, with wind speeds ranging from 5 m/s to 25 m/s for the National Renewable Energy Laboratory (NREL) Phase VI and 4 m/s to 14 m/s for the 12% scaled-down model. The aerodynamic performance of both cases was assessed at representative wind speeds of 7 m/s for low, 10 m/s for medium, and 20 m/s for high flow speeds for NREL Phase VI and 7 m/s for low, 9 m/s medium, and 12 m/s for the scaled-down model. The results of the SST K-Omega and transitional SST models were aligned with experimental test measurement data at low wind speeds. However, the SST K-Omega torque values exhibited a slight deviation. The transitional SST and SST K-Omega models yielded aerodynamic properties that were comparable to those of the 12% scaled-down model. The torque values obtained from the simulation for the full-scale NREL Phase VI and the scaled-down model were 1686.5 Nm and 0.8349 Nm, respectively. Both turbulence models reliably predicted torque and pressure coefficient values that were consistent with the experimental data, considering specific flow regimes. The pressure coefficient was maximum at the leading edge of the wind turbine blade on the windward side and minimum on the leeward side. For the 12% scaled-down model, the flow simulation results bordering the low-pressure region of the blade varied slightly.

호서지역 비파형동검문화의 전개와 교류

The bronze artifacts of Mandolin-shaped Bronze Daggers Culture in Hoseo(湖西) region show a continuous distribution area from the Geumgang to the Mangyeonggang. One or two bronze artifacts are usually excavated from the dwelling site and tombs. This difference in excavated feature is reflected the style or space-time. For example, the stone coffin tomb with ditch or simple pit tombs are natives in the early period, and the wooden coffin tombs with stone-filled are known as foreigns in the late period. There are many weapons such as bronze daggers and bronze spearheads in bronze artifacts. The bronze daggers have various style or type that connect Liaodong, Liaoshi, and Northwest region. The bronze spearheads is identified as a universal short type and a be naturalized long type. In addition, the bronze axes of the northeastern style and the bronze mirror of the northwest style are confirmed. The Mandolin-shaped Bronze Daggers Culture in the Hoseo region underwent four phase of change. During the 1st phase, only narrow bronze daggers are identified alone, and an interaction (distribution) relationship that connects to ‘Liaodong-Northwest-Southwest’ is identified. In the 2nd and 3rd phase, it is replaced by a wide bronze daggers, and bronze spearheads and bronze axes are added. The interaction relationship between ‘Northwest-Northeast’ increases, and bronze weapons is also used as a ritual. During the 4th phase, transitional models such as the straight-edged bronze daggers and dagger pommel fitting, bronze mirror, and half-moon-shaped jade appear. This shows that the interaction relationship between ‘Liaodong-Northwest-(Central)-Southwest-’ was further strengthened during the settlement of the Jeongjiawazhi assemblage.

Hypoxia-driven hybrid phenotypes in Ewing sarcoma: Insights from computational epithelial-mesenchymal transition modeling

Ewing sarcoma (ES) is an extremely aggressive pediatric tumor primarily propelled by the EWS::FLI1 fusion protein. This fusion protein plays a pivotal role in various biological processes within ES, including hypoxia and epithelial-mesenchymal transition (EMT). Hypoxia has been documented to trigger EMT, a process that can stabilize a hybrid cell state, enhancing metastatic potential and resistance to drugs. However, the precise mechanisms that sustain this hybrid phenotype during hypoxia in ES have remained enigmatic. Our study introduces a logical model for EMT in ES, underscoring the potential significance of the EWS::FLI1/miR-145 circuit in inducing hybrid states during hypoxia. Furthermore, our findings underscore the necessity for downregulating EWS::FLI1 to fully activate EMT under hypoxic conditions. This model aligns well with results derived from existing literature. These insights underscore the crucial role of EWS::FLI1 in inducing the hybrid state in ES during hypoxia.

The effects of a dyadic empowerment-based heart failure management (De-HF) programme on self-care and HRQL : a randomized controlled trial

Abstract Background The ever-growing epidemiology of heart failure (HF) and its detrimental impacts on patients’ quality of life and healthcare cost urge for effective interventions to ameliorate the modifiable prognostic factors. As substantial evidence suggests ineffective self-care as an important candidate especially for the post-discharge outcomes, various care approaches are developed to optimize this behavioral outcome. However, even family carers are heavily involved in the self-care process, dyadic approach to improve the health outcomes of both interactive partners are least applied in the HF transitional care model. Purpose To evaluate the effects of a dyadic empowerment-based heart failure management program (De-HF) on dyadic health and hospital service utilization outcomes. Methods This double-blind RCT randomized 88 HF patient-carer dyads to receive the De-HF program or a dialectic education program, after hospital discharge. Based on the Theory of Dyadic Illness Management, the 16-week De-HF Program, comprising i) a dyadic assessment, ii) five online empowerment modules and iii) follow-up telecare, integrated explicit strategies (scenario-based training, teach-back and goal-setting) to actively engage the care dyads in collaborative disease management. Figure 1 is the graphical presentation of the De-HF Program. The primary outcome is health-related quality of life (HRQL) of the care dyads. Secondary outcomes include patients’ self-care as well as shared care and perceived control of the dyad. Results The mean age of the HF patients was 76.8 (9.4). The patients were in moderate disease severity [NYHA II/II: 56/44%; mean LVEF = 42.5%]. Figure 2 shows the consort flow diagram. After adjusting the socio-demographic characteristic, two-way analysis of covariance showed that patients in the De-HF program showed significantly greater improvement in patients’ self-care domains [Mean difference in change of score (95% CI): Self-care maintenance = 7.15 (1.82-12.46),Cohen’s d = 0.26, p=0.009; Self-care management = 10.04(3.29-16.79), Cohen’s d=0.65, p=0.004; symptom perception = 15.59 (8.20-22.98), Cohen’s d=0.928, p<0.001] and Minnesota Living with Heart Failure score [Mean different in the change of score (95% CI) = -11.45 (-18.24 - -4.66). Cohen’s d = -0.742, p=0.001]. The patient-carer dyads also have significantly greater improvement in perceived control (p=0.001) and collaborative disease management in terms of joint decision-making (p=0.001) and sense of reciprocity (p=0.026). Conclusion Dyadic science has evolved in self-care research for HF. This trial provides the first evidence to inform the positive effects of a theory-based dyadic transitional care program in improving the collaborative self-care management in a family context and patient health outcome. Longer-term evaluation on the effects of De-HF program on health service utilization outcomes and cost-effectiveness will be followed.The De-HF Managment ProgramThe Consort Flow Diagram

A Study on the Educational Model of Connecting Vocational and Undergraduate Education in Finance and Accounting Majors

This article studies the educational mode connecting vocational education and undergraduate education in finance and accounting majors, in response to the weak cultural foundation and poor course integration faced by current vocational school graduates after entering vocational undergraduate education. By adopting empirical research methods and selecting vocational college students majoring in finance and accounting and ordinary high school students as research objects, this study implements a series of teaching reform measures and conducts tracking surveys on the short-term and long-term effects of educational reforms. As a result, it was found that in the final survey of graduation destinations, 34 vocational and technical college students were engaged in related work in their majors, accounting for 45.9% of all vocational and technical college students. This proves that the proposed transitional education model can effectively enhance the cultural foundation of vocational college students and provide new ideas for the cultivation of talents in finance and accounting majors.

A real-time phase transition modeling of supercritical steam cycle and load variation rate enhancement of thermal power plants under deep peak shaving

The ambitious green revolution to renewable energy sources in global power grids necessitates massive integration of solar and wind energy, which involves intermittent and unpredictable challenges. Thermal power plants are crucial in stabilizing the grid and addressing these challenges through flexibility reformation including deep peak shaving and frequent load variations since the unsteady state energy transfer and thermal dynamics during combustion and heat transformation in thermodynamic processes vary significantly. These conditions lead to issues such as furnace instability and latent heat of phase transition. This study introduces a novel approach to modeling phase transitions of supercritical steam cycle, and investigatesthe length, position, temperature, and energy transfer of the working medium and components under normal and low operational states. Conducting and analyzing the thermal feasible region associating the security of components and working medium this study establishes a control strategy for dynamic heat transfer to reduce component degradation effects andenhance load variation rate under flexible operations. Simulation model of a supercritical power unit based on the proposed method demonstrates an accuracy of 97.94%. Results from the optimal approach in maximizing load variation rate show the effectiveness and achieve 1.2%p.e./min most under transition process.