Uniform Process Research Articles

A Novel SV-PRI Strategy and Signal Processing Approach for High-Squint Spotlight SAR

High-resolution and high-squint spaceborne spotlight synthetic aperture radar (SAR) has significant potential for extensive application in remote sensing, but its swath width effectiveness is constrained by a critical factor: severe range cell migration (RCM). To address this, pulse repetition interval (PRI) variation offers a practical scheme for raw data reception. However, the current designs for continuously varying PRI (CV-PRI) exhibit high complexity in engineering. In response to the issue, this paper proposes a novel strategy of stepwise varying PRI (SV-PRI), which demonstrates higher reconstruction accuracy compared with CV-PRI. Furthermore, confronting the azimuth non-uniform sampling characteristics induced by the PRI variation, this paper introduces a complete uniform reconstruction processing based on the azimuth partitioning methodology, which effectively alleviates the inherent contradiction between resolution and swath width. The processing flow, utilizing the temporal point remapping (TPR) concept, ensures the uniformity and coherence of dataset partitioning and reassembly in the context of the interpolation on non-uniform grids. Finally, according to the simulation results, the point target data, processed through the processing flow proposed in this study, have demonstrated effective focusing results.

Shape and size optimization of truss structure by means of improved artificial rabbits optimization algorithm

ABSTRACT The main aim of this article is to use a new metaheuristic algorithm for the optimum design of truss structures. The artificial rabbits optimization (ARO) algorithm is used, in which rabbits’ natural survival strategies, such as detour foraging and random hiding, are considered in developing the main search loop of the algorithm. An improved version, I-ARO, is also proposed, using the diagonal linear uniform (DLU) initialization process instead of conventional random initialization to enhance the overall performance and convergence behaviour of the ARO algorithm. For numerical investigations, five well-known benchmark truss structures with 10, 37, 52, 72 and 120 bars are determined, considering the natural frequencies of the structures as design constraints. I-ARO is shown to be capable of providing better results than the standard ARO and other approaches in the literature. This demonstrates the capability of the DLU initialization method in enhancing the performance of the I-ARO algorithm. Highlights Optimization of truss structures is investigated Improved Artificial Rabbits Optimization (IARO) algorithm is proposed Diagonal Linear Uniform (DLU) initialization process is implemented in IARO

Abstract TP119: Predicting Posterior Circulation Stroke During Emergency Triage: Dizzy-7 Project

Introduction: “Stroke code” activation is a uniform process to summon healthcare stakeholders to orchestrate the rapid sequential steps for urgent management in patients with possible stroke. Acute dizziness, a common emergency department (ED) presentation, frequently leads to stroke code activation; however, cancellation rates remain high and process improvement strategies are warranted. Methods: We analyzed stroke identification accuracy, cancellation rates, and clinical characteristics in patients presenting with an acute vestibular syndrome to inform process improvement strategies for stroke code activation. We developed an ED triage diagnostic algorithm termed, “Dizzy-7”, based on evidence incorporating key history and physical examination elements derived in patients with acute posterior circulation ischemia. Subsequent analyses were performed on algorithmic utilization and its ability to predict stroke. Results: 1599 patients presented with acute dizziness over a 4-month period (2022-2023). Stroke code activation occurred in nearly one in four (366/1599) these presentations. 20% (319/1599) were ultimately diagnosed with stroke and of these, 49% (319/366) were identified following stroke code activation. The Dizzy-7 algorithm was used infrequently (4%) among all acute dizziness presentations. Of the 65 cases that incorporated the algorithm, 16 resultant stroke code activations occurred with 1 confirmed diagnosis (6%). We analyzed stroke alert cancellation and found an increased frequency in cancellation for those without use of the protocol at 22% (77/350) compared to those who did use it at 6% (1/16). Discussion: Accurate and reliable identification of acute ischemic stroke among patients presenting with acute dizziness remains complex. Implementation of a triage diagnostic algorithm based on contemporary evidence was infrequently implemented. Process improvement efforts targeted at greater algorithmic use, interprofessional collaboration, and education may improve stroke code utilization efficiency. Although based on limited sample size, a trend towards reduced stroke code cancellation rates were seen throughout the pilot Dizzy-7 algorithm use.

The Importance of Zero-Deficiency Complaints in Nursing Homes: A Mere Consequence or Serious Concern?

Complaints represent an important metric for assessing the quality of nursing home (NH) care. Using the Automated Survey Processing Environment (ASPEN) Complaints/Incidents Tracking System dataset (2017), we examined the relationships between zero-deficiency complaints (ZDCs) and zero-deficiency substantiated complaints (ZDSCs) and the proportion of residents with dementia. NHs (N = 15,339) were separated into three groups-proportion of residents with dementia in the top, two middle, and the bottom quartiles. Negative binomial regressions assessed zero-deficiency complaint patterns in relation to NHs' proportion of residents with dementia, controlling for facility characteristics, staffing, and racial pattern. We reported average marginal effects (AMEs) and 95% confidence intervals (CIs). NHs in the top quartile yielded higher numbers of both ZDC (AME = .189, 95% CI: .102-.276, p < .001) and ZDSC (AME = .236, 95% CI: .094-.378, p = .001), than NHs in the bottom quartile. Results suggest a need for more uniform investigation processes and staff training to promote a more valid complaint process for residents with dementia.

Methodology for biomarker discovery with reproducibility in microbiome data using machine learning

BackgroundIn recent years, human microbiome studies have received increasing attention as this field is considered a potential source for clinical applications. With the advancements in omics technologies and AI, research focused on the discovery for potential biomarkers in the human microbiome using machine learning tools has produced positive outcomes. Despite the promising results, several issues can still be found in these studies such as datasets with small number of samples, inconsistent results, lack of uniform processing and methodologies, and other additional factors lead to lack of reproducibility in biomedical research. In this work, we propose a methodology that combines the DADA2 pipeline for 16s rRNA sequences processing and the Recursive Ensemble Feature Selection (REFS) in multiple datasets to increase reproducibility and obtain robust and reliable results in biomedical research.ResultsThree experiments were performed analyzing microbiome data from patients/cases in Inflammatory Bowel Disease (IBD), Autism Spectrum Disorder (ASD), and Type 2 Diabetes (T2D). In each experiment, we found a biomarker signature in one dataset and applied to 2 other as further validation. The effectiveness of the proposed methodology was compared with other feature selection methods such as K-Best with F-score and random selection as a base line. The Area Under the Curve (AUC) was employed as a measure of diagnostic accuracy and used as a metric for comparing the results of the proposed methodology with other feature selection methods. Additionally, we use the Matthews Correlation Coefficient (MCC) as a metric to evaluate the performance of the methodology as well as for comparison with other feature selection methods.ConclusionsWe developed a methodology for reproducible biomarker discovery for 16s rRNA microbiome sequence analysis, addressing the issues related with data dimensionality, inconsistent results and validation across independent datasets. The findings from the three experiments, across 9 different datasets, show that the proposed methodology achieved higher accuracy compared to other feature selection methods. This methodology is a first approach to increase reproducibility, to provide robust and reliable results.

Meta-Analysis of Life Cycle Assessment Studies for Polyethylene Terephthalate Water Bottle System

The life cycle assessment (LCA) serves as a crucial tool for assessing the environmental impact of products, with recent emphasis on polyethylene terephthalate (PET) bottles. Our meta-analytical review of 14 LCA research papers (2010–2022) on PET bottles, aligned with PRISMA guidelines, spans six phases: raw material production (MP), bottle production (BP), distribution and transportation (DT), collection and transport (CT), waste management (WM), and environmental benefits (EB). Utilizing the global warming potential (GWP) as the indicator, our study harmonized data into a consistent functional unit, revealing an average emission of 5.1 kg CO2 equivalent per 1 kg of PET bottles. Major contributors to global warming were identified across the MP, BP, and DT phases. While the MP and BP phases exhibited low variability due to uniform processes, the CT, WM, and EB phases displayed higher variability due to scenario considerations. A comparison with Korean environmental product declaration data affirmed the methodology’s practical utility. Our approach offers potential applicability in diverse product category assessments, emphasizing its relevance for informed decision-making in sustainable product development.

A uniform data processing pipeline enables harmonized nanoparticle protein corona analysis across proteomics core facilities

Protein corona, a layer of biomolecules primarily comprising proteins, forms dynamically on nanoparticles in biological fluids and is crucial for predicting nanomedicine safety and efficacy. The protein composition of the corona layer is typically analyzed using liquid chromatography-mass spectrometry (LC-MS/MS). Our recent study, involving identical samples analyzed by 17 proteomics facilities, highlighted significant data variability, with only 1.8% of proteins consistently identified across these centers. Here, we implement an aggregated database search unifying parameters such as variable modifications, enzyme specificity, number of allowed missed cleavages and a stringent 1% false discovery rate at the protein and peptide levels. Such uniform search dramatically harmonizes the proteomics data, increasing the reproducibility and the percentage of consistency-identified unique proteins across distinct cores. Specifically, out of the 717 quantified proteins, 253 (35.3%) are shared among the top 5 facilities (and 16.2% among top 11 facilities). Furthermore, we note that reduction and alkylation are important steps in protein corona sample processing and as expected, omitting these steps reduces the number of total quantified peptides by around 20%. These findings underscore the need for standardized procedures in protein corona analysis, which is vital for advancing clinical applications of nanoscale biotechnologies.

Covalent Organic Framework with 3D Ordered Channel and Multi-Functional Groups Endows Zn Anode with Superior Stability

HighlightsA fluorinated zincophilic covalent organic framework (COF-S-F) with sulfonic acid group (-SO3H) is prepared on the surface of Zn anode, which promotes the desolvation of hydrated Zn ions and inhibits the side reactions.The highly electronegative -F group in COF-S-F promotes fast and uniform transport of Zn ions along the interconnected channels, which contributes to the uniform electrodeposition process of Zn metal.Zn@COF-S-F symmetric cell achieves a superior stability of 1,000 h and Zn@COF-S-F|MnO2 cell delivers high specific capacity of 206.8 mAh g−1 at current density of 1.2 A g−1.

Strukturne determinante povećane koštane fragilnosti kod starijih osoba - višestruke perspektive

Numerous epidemiological studies have shown that increased bone fragility and a higher risk of fractures are present in the aged, which reduces their quality of life and represents a significant socio-economic burden for the healthcare system. However, morphological and structural determinants underlying increased bone fragility have yet to be fully explained. This paper aimed to provide an overview of modern studies that dealt with determinants of increased bone fragility, analyzing different hierarchical levels of bone tissue organization (macro-, micro-, and nano-levels) in aged individuals and individuals with chronic comorbidities (mainly in individuals with chronic liver disease, renal disorders, and type 2 diabetes mellitus). Also, variable frequency of fractures at different skeletal sites in aged persons and individuals with chronic diseases was shown, indicating that aging-related bone loss is not a uniform process. A complete understanding of the spatial pattern of impaired bone quality can aid in the targeted evaluation of individualized fracture risk. Establishing a firm connection between the results of the clinical assessment of bone status and the analysis of numerous structural and mechanical bone properties (on various hierarchical levels) can represent a solid base for developing adequate guidelines and algorithms for prevention and treatment of increased bone fragility in aged individuals and individuals with chronic diseases.

Study on Working Fluids Testing and Multiphase Flow Model Optimization in Thermoacoustic Engines

This study investigates the impact of different working fluids on the performance of non-phasechange thermoacoustic engines and compares the application of two multiphase flow models in phasechange thermoacoustic engines. Simulation results show that, at the same heating temperature, air and nitrogen can achieve thermoacoustic oscillations, while helium cannot. This is due to helium’s higher sound speed, lower density, and higher thermal conductivity et al. In the simulation of phase-change thermoacoustic engines, the Mixture model demonstrates higher predictive accuracy compared to the VOF model, as the VOF model emphasizes the effects of phase interfaces, while the Mixture model is better suited for macro-scale multiphase flow analysis and relatively uniform phase-change processes. The findings provide a theoretical basis for the optimization design of phase-change thermoacoustic engines.

Fetal development of the human amygdala.

The intricate development of the human amygdala involves a complex interplay of diverse processes, varying in speed and duration. In humans, transient cytoarchitectural structures deliquesce, leading to the formation of functionally distinct nuclei as a result of multiple interdependent developmental events. This study compares the amygdala's cytoarchitectural development in conjunction with specific antibody reactivity for neuronal, glial, neuropil, and radial glial fibers, synaptic, extracellular matrix, and myelin components in 39 fetal human brains. We recognized that the early fetal period, as a continuation of the embryonic period,is still dominated by relatively uniform histogenetic processes. The typical appearance of ovoid cell clusters in the lateral nucleus during midfetal period is most likely associated with the cell migration and axonal growth processes in the developing human brain. Notably, synaptic markers are firstly detected in the corticomedial group of nuclei, while immunoreactivity for the panaxonal neurofilament marker SMI 312 is found dorsally. The late fetal period is characterized by a protracted migration process evidenced by the presence of doublecortin and SOX-2 immunoreactivity ventrally, in the prospective paralaminar nucleus, reinforced by vimentin immunoreactivity in the last remaining radial glial fibers. Nearing the term period, SMI 99 immunoreactivity indicates that perinatal myelination becomes prominent primarily along major axonal pathways, laying the foundation for more pronounced functional maturation. This study comprehensively elucidates the rate and sequence of maturational events in the amygdala, highlighting the key role of prenatal development in its behavioral, autonomic, and endocrine regulation, with subsequent implications for both normal functioning and psychiatric disorders.

High-pressure plasma etching up to 9 atm toward uniform processing inside narrow grooves of high-precision X-ray crystal optics

We developed a new etching technique using plasma generated at high pressure up to 9 atm. Operating at 9-atm pressure with a 30-μm-diameter wire electrode, we demonstrated the generation of well-ordered plasma at a narrow gap of ∼10 μm between the electrode and workpiece, and realized a high spatial resolution of <40 μm during processing. This technique should allow for the processing of high-precision X-ray crystal optical devices with compact and complex structures, such as a micro channel-cut crystal monochromator with an extremely narrow (sub-100 μm width) groove for realization of Fourier-transform-limited X-ray lasers with high intensity.

ПОЧВООБРАБАТЫВАЮЩИЕ ФРЕЗЫ ДЛЯ ОСНОВНОЙ ОБРАБОТКИ ПОЧВЫ И ВОССТАНОВЛЕНИЯ ЗАДЕРНЕННЫХ УГОДИЙ

Milling is one of the most effective methods of processing of heavy over-compacted soils, recultivation of blackened lands and development of virgin and fallow lands. As a result of intensive loosening and mixing of the soil, the mineralization process accelerates. When choosing the type of milling unit and its operating modes, the depth of the humus horizon, the type and density of the soil, the thickness of the sod, the presence of shrubs, stones, stumps, hummocks, the microrelief of the soil, the contamination with rhizomatous and other weeds are taken into account. (Research purpose) The research purpose is analyzing the used tillage cutters for basic tillage and the returning of blackened lands into circulation. (Materials and methods) Considered the design features of tillage cutters used in basic tillage and in blackened areas. Systematized data about them. (Results and discussion) It was determined that various designs of cutters make it possible to effectively grind blackened and compacted soil, destroy above-ground vegetation, and level the surface soil layer. It was found that effective processing of blackened lands includes grinding the sod and embedding it in the soil to a depth of 20-25 centimeters, creating a loose homogeneous fertile soil layer. (Conclusions) Milling allows high-quality processing of heavy, including blackened soils. The technological operation of milling provides shredding of weeds, uniform processing of fields and leveling of the surface layer, increasing the air permeability and infiltration properties of soils, reducing the time to prepare for pre-sowing treatment by combining several technological operations when using combined cutters.

A Systematic Review on Green Finance and Sustainable Development

Purpose: The emergence of green financing has come to be a important tool in advancing sustainable improvement and tackling environmental troubles. This research delves into the fame of green financing within Pakistan, elucidating the barriers it encounters and presenting techniques for its enhancement in the country. The research exhibits that green financing holds the ability to channel funds into green ventures, thereby curtailing the state's carbon emissions.&#x0D; Approach: Pakistan faces various impediments in the realm of green financing, encompassing inadequate awareness, restrained engagement from the non-public sector, insufficient financial backing, and the absence of standardized practices. Analysis of various encompassed theoretical journals, administration reviews, and coverage papers have been used.&#x0D; Findings: To surmount these hurdles, the research advocates for heightened consciousness, incentivizing private section involvement, providing financial help, and setting up uniform descriptions and processes.&#x0D; Implications: In end, the studies asserts that with continual energies and cooperative endeavors, the demanding situations obstructing green financing in Pakistan can be conquered, ushering in a greater sustainable future with increased capital mobilization.

Mathematical Model Based on Staircase Structure for Impedance Analysis of Non-Ideal and Non-Uniform Processes in Porous Electrodes

Electrochemical impedance spectroscopy analysis for porous electrodes in energy conversion and storage, described as resistance and capacitance, is widely used to understand their electrochemical processes. These processes include: (i) electronic resistance inside the electrode (R e), (ii) ionic resistance in the electrolyte bulk and inside the porous electrode (R ion), (iii) electrical double layer formation (C dl) and charge transfer resistance at the electrode electrolyte interface (R ct) , and (iv) diffusion for charge compensation.As one of the mathematical models in electrochemical impedance spectroscopy for porous electrodes, a transmission line model is known, in which the pore structure is described as a cylinder geometry.1 We have proposed an analytical method that combines the transmission line model with electrochemical impedance spectroscopy using a symmetric cell,2 and have investigated resistance separation in lithium-ion batteries and its effect on battery performances.3-5 Due to mathematical constraints, the transmission line model is limited to a representation of an ideal, uniform process model. Here we propose a mathematical model based on a network model consisting of a staircase structure for electrochemical impedance spectroscopy at porous electrodes that can describe not only ideal and uniform processes but also non-ideal and non-uniform processes (Fig. 1), and aims to help elucidate their borderline behavior.6 The proposed staircase model (Z SCM) gives a series equivalent circuit consisting of Z 0, which is a series circuit of electrode/electrolyte interface impedance (Z int0) and electronic resistance (R e0), and electrolyte resistance (R ion0) as an initial step without pores (Z SCM0 = R ion(0) + Z 0). The one-step model (Z SCM1) is then given a series equivalent circuit consisting of the parallel circuit of Z SCM0 and Z 1 and the electrolyte resistance R ion(1) in series (Z SCM1 = R ion(1) + (Z SCM0 −1+Z1 −1)−1). The staircase model is calculated by incorporating the 1 prior step (Fig. 2). Thus, the model with n steps (Z SCM(n)) is composed of a series equivalent circuit of the parallel circuit of Z SCM(n−1) and Z n and the electrolyte resistance R ion(n) (Z SCM(n) = R ion(n) + (Z SCM(n−1) −1 +Z n −1)−1).Fig. 3 shows Nyquist plots computed for each input parameter at 50 steps for non-Faradic and Faradic processes in the staircase model. The results are in good agreement with the profiles calculated for the transmission electric model.2 The presentation will further show examples of the calculated results using the staircase model for non-ideal and inhomogeneous processes and discuss the analysis of impedance behavior using real electrodes reflecting non-uniform processes. References R. de Levie, Electrochim. Acta, 9, 1231-1245 (1964). N. Ogihara, S. Kawauchi, C. Okuda, Y. Itou, Y. Takeuchi and Y. Ukyo, J. Electrochem. Soc., 159, A1034-A1039 (2012). N. Ogihara, Y. Itou, T. Sasaki and Y. Takeuchi, J. Phys. Chem. C, 119, 4612-4619 (2015). N. Ogihara, Y. Itou and S. Kawauchi, J. Phys. Chem. Lett., 10, 5013-5018 (2019). Y. Itou, N. Ogihara and S. Kawauchi, J. Phys. Chem. C, 124, 5559-5564 (2020). N. Ogihara and Y. Itou, Phys. Chem. Chem. Phys., 24, 21863-21871 (2022). Figure 1

Robustness of [18F]FDG PET/CT radiomic analysis in the setting of drug-induced cardiotoxicity

Background and objectivesStandardization of radiomic data acquisition protocols is still at a very early stage, revealing a strong need to work towards the definition of uniform image processing methodologies The aim of this study is to identify sources of variability in radiomic data derived from image discretization and resampling methodologies prior to image feature extraction. Furthermore, to identify robust potential image-based biomarkers for the early detection of cardiotoxicity. MethodsImage post-acquisition processing, interpolation, and volume of interest (VOI) segmentation were performed. Four experiments were conducted to assess the reliability in terms of the intraclass correlation coefficient (ICC) of the radiomic features and the effects of the variation of voxel size and gray level discretization. Statistical analysis was performed separating the patients according to cardiotoxicity diagnosis. Differences of texture features were studied with Mann-Whitney U test. P-values <0.05 after multiple testing correction were considered statistically significant. Additionally, a non-supervised k-Means clustering algorithm was evaluated. ResultsThe effect of the variation in the voxel size demonstrated a non-dependency relationship with the values of the radiomic features, regardless of the chosen discretization method. The median ICC values were 0.306 and 0.872 for absolute agreement and consistency, respectively, when varying the discretization bin number. The median ICC values were 0.678 and 0.878 for absolute agreement and consistency, respectively, when varying the discretization bin size. A total of 16 first order, 6 Gray Level Co-occurrence Matrix (GLCM), 4 Gray Level Dependence Matrix (GLDM) and 4 Gray Level Run Length Matrix (GLRLM) features demonstrated statistically significant differences between the diagnosis groups for interim scans (P<0.05) for the fixed bin size (FBS) discretization methodology. However, no statistically significant differences between diagnostic groups were found for the fixed bin number (FBN) discretization methodology. Two clusters based on the radiomic features were identified. ConclusionsGray level discretization has a major impact on the repeatability of the radiomic features. The selection of the optimal processing methodology has led to the identification of texture-based patterns for the differentiation of early cardiac damage profiles.

Carbon Monoxide-Resistant Anode Catalysts for Single-Cell Direct Carbon Monoxide Fuel Cells: Binary, Ternary, And Quaternary Platinum Alloys as Anode Electrocatalysts

The objective of this paper is to present the results of experimentations on the custom-made anode electrocatalysts for direct carbon monoxide fuel cells (DCMFCs) inspired by catalysts commonly used for direct alcohol fuel cells. Seven different catalysts were fabricated and tested. The uniform and consistent manufacturing process and the test procedure allowed a meaningful comparison of the developed fuel cells. The results indicated that homemade Pt-Ru membrane-electrode assembly (MEA) could not compete with the Pt-Sn MEA. While the performance of the MEAs with Pt-Ru-Ni, Pt-Ru-Sn-Ni, and Pt-Ru-Sn-Co was not satisfactory, the Pt-Ru-Sn-Co-W MEA achieved the best performance among all MEAs with Nafion® 117 membrane. The last MEA was made of the Pt-Sn anode catalyst and Nafion® 212 membrane and outperformed all other MEAs by a wide margin. The experiments demonstrated that the performance of the best-developed MEA was three times better than the performance of the commercial Pt-Ru MEA. This means the performance of DCMFCs can be significantly improved by developing a suitable anode electrocatalyst, using a thinner membrane, and operating at optimum conditions. These results are not only applicable for DCMFCs but also are very useful for other proton exchange membrane fuel cells (PEMFCs) operating with CO-containing fuels.

Effect and simulation of tensile stress on corrosion behavior of 7050 aluminum alloy in a simulated harsh marine environment

The corrosion behavior of the 7050 aluminum alloy was investigated in the presence of high concentrations of H+ and Cl- ions simulating the marine environment of high salinity and local acidification in tropical seas. The results highlight the significant influence of tensile stress on the corrosion rate of the aluminum alloy with higher stress levels resulting in faster corrosion. Under the influence of tensile stress, corrosion pits form on the alloy surface, and their depth increases with higher levels of applied stress. It is important to note that the presence of a corrosion defect leads to a pronounced stress concentration, resulting in a much faster rate of corrosion compared to other regions. However, when subjected to low tensile stress (≤174 MPa), the corrosion at the defect exhibits uniform characteristics similar to a uniform corrosion process. Moreover, the potential at the defect shifts positively with increasing stress level. Furthermore, stress has an effect on the diffusive behavior of the aluminum alloy, leading to a higher potential at the defect center compared to its surrounding region. Nevertheless, as the tensile stress is further increased, this behavior is disrupted and stress corrosion cracking becomes the dominant mode of corrosion.

A Comparative Study on the Compromise and Struggle Between the False Overlord and the Real Concubine in Farewell My Concubine Based on Hegels Tragedy Aesthetics

In the study of the text Farewell to My Concubine, most of the studies are on the interpretation of different characters and the direction of drama film art and Chinese literature. The author believes that the tragedy of Different characters in the Farewell to My Concubine tragic theory can be used as a novel and necessary research direction. Hegels Aesthetics Tragic Theory is based on his philosophical theory. He uses conflict and reconciliation, regarding the generation and solving of tragedy as an aliasing uniform dialectical process, having special historical value and research significance, used to analyze the Farewell to My Concubine, it can enable readers to understand and appreciate the tragedy while producing more profound thinking. The original book embodies the turmoil of the troubled times, the distinct time passages, the span of time. From the melee period at the end of the Qing Dynasty, the anti-Japanese period, to the Kuomintang rule period or the liberation War period, and finally to the Cultural Revolution period, and the new China period. Named after the Peking Opera name, it not only reflects the author Li Bihuas thinking about the traditional culture represented by Peking Opera, but also contains the emotion about the situation and fate of Peking Opera actors under the changing times. There is also the relationship between ideal and reality, which is often discussed in literature. In the later film remake, director Chen Kaige not only tells the content of the original well, but also uses the contrast of cold and warm colors from a visual point of view; Light intensity and side light and backlight; The joys and sorrows of musical tunes; In different scenes, the closed, framed, and Chinese-style composition, playsing the story alive.

Bridging the gap: a qualitative study of providers' perceptions of a partnered crisis follow-up program for suicidal patients post-emergency department discharge

BackgroundEffective interventions are needed to address suicide risk following discharge from the hospital emergency department or inpatient setting. Studies that examine follow-up contact methods show promise, but little is known about how follow-up programs are implemented in the real world and who is benefitting. The purpose of this formative evaluation and analysis was to gain insight about the usefulness and value of a partnered suicide prevention follow-up program (academic medical center emergency department partnered with a regional suicide prevention center) from the standpoint of psychiatry resident physicians providing direct care and suicide prevention center crisis counselors making follow-up outreach telephone calls to patients.MethodsA qualitative thematic analysis was conducted with focus group data from a convenience sample of psychiatry residents who performed consultations in the emergency department setting and counselors at the suicide prevention center crisis follow-up program. Focus group sessions, using semi-structured question guides, were completed at each participant group’s workplace. Grounded theory techniques were used to guide coding and analytic theme development.ResultsAnalyses resulted in four overarching themes: valuing the program’s utility and benefit to patients, desiring to understand what happens from emergency department discharge to program follow-up, having uncertainty about which patients would benefit from the program, and brainstorming to improve the referral process. Psychiatry residents appreciated the option of an “active” referral service (one that attempts to actively engage a patient after discharge through outreach), while suicide prevention crisis counselors valued their ability to offer a free and immediate service that had potential for fostering meaningful relationships. Both participant groups desired a better understanding of their partner’s program operations, a uniform and smooth referral process, and awareness of who may or may not benefit from program services.ConclusionResults revealed the need for improved communication and implementation, such as expanded inter-agency contacts, consistent provider training, more documentation of the requirements and rules, a consistent message about program logistics for patients, and coordination between the program elements.