Degree Of Fit Research Articles

Variability of the Level of Budget Expenditures on Social Insurance of Farmers in the Agricultural Policy of Poland After Accession to the European Union

The purpose of this article was to examine the level and variability of budgetary expenditures directed to the Agricultural Social Insurance Fund (ASIF) in Poland in the form of subsidies to the Farmers’ Pension Fund in the period 2004–2024, i.e., after Poland’s accession to the European Union (EU). The aim of the study was also to determine the share of subsidies to the farmers’ social insurance fund in the total expenditures of the Polish agricultural budget, as well as the relationship of ASIF expenditures to state budget expenditures and GDP dynamics. The authors attempted to estimate the trend function for these time series and the degree of fit of the equations describing them. The formation of the nominal and real level of budget expenditures on the ASIF in 2004–2024 was evaluated. It was assumed that spending on the ASIF is an element of agricultural policy, realising its redistributive and social objectives, but indirectly also pro-development objectives by supporting generational change in agriculture. The research showed that the real level of spending on ASIF declined during Poland’s EU membership, as did the share of this spending in the total agricultural budget. The subsidy to the social security system also did not follow the changes in GDP and state budget expenditure proportionally, showing much less dynamism over the period studied. This means that budget support for farmers’ social security is losing its importance as an instrument of agricultural policy. It has been shown that the economic and social components of agricultural expenditure have not grown in harmony. The changes in the level of spending on the ASIF in the period 2004–2024 were also analysed in relation to demographic changes, i.e., the number of farmers insured in the ASIF and recipients of agricultural pensions. It has been shown that, despite a significant decrease in the number of farmers receiving pensions from the ASIF, there remains a large disparity between the average pension benefits of farmers and those of the general social insurance system (Social Insurance Institution—SII). The reduction in this disparity is not served by a real reduction in subsidies to the ASIF.

Assessment of Peak Particle Velocity of Blast Vibration using Hybrid Soft Computing Approaches

Abstract Blasting vibration is a major adverse effect in rock blasting excavation, and accurately predicting its peak particle velocity (PPV) is vital for ensuring engineering safety and risk management. This study proposes an innovative IHO-VMD-CatBoost model that integrates variational mode decomposition (VMD) and the CatBoost algorithm, with hyperparameters globally optimized using the improved hippocampus optimization algorithm (IHO). Compared to existing models, the proposed method improves feature extraction from vibration signals and significantly enhances prediction accuracy, especially in complex geological conditions. Using measured data from open-pit mine blasting, the model extracts key features such as maximum section charge, total charge, and horizontal distance, achieving superior performance compared to 13 traditional models. It reports a root mean square error of 0.28 cm/s, a mean absolute error of 0.17 cm/s, an index of agreement of 0.993, and a variance accounted for value of 97.28%, demonstrating superior prediction accuracy, a high degree of fit with observed data, and overall robustness in PPV prediction. Additionally, analyses based on the SHapley Additive Explanations framework provide insights into the complex nonlinear relationships between factors like horizontal distance and maximum section charge, improving the model's interpretability. The model demonstrates robustness, stability, and applicability in various tests, confirming its reliability in complex engineering scenarios, and offering a valuable solution for safe mining and optimized blasting design.

The present status of research and related applications of three-dimensional printing in the field of healthcare.

As a new manufacturing technology, 3D printing technology has shown great potential in healthcare. The current study attempts to provide a comprehensive review of the current research landscape regarding the utilization of 3D printing technology in the healthcare sector. Nowadays, three-dimensional printing is applied in tissue engineering to manufacture complex and functionalized tissue scaffolds, hence providing strong support for regenerative medicine and enabling more precise tissue replacement in vivo. In the context of the manufacturing of medical models, the technology can reproduce with great accuracy the diseased organs or structures in question by the patient; in this respect, even bones are included. That gives intuitive physical models for surgical planning, simulation training, thereby improving the success rate of surgery and reducing complications. In the context of bespoke medical devices, 3D printing facilitates personalization of medical devices, such as prosthetics and implants, to a greater degree of fit for individual patient requirements. In the pharmaceutical sector, 3D printing technology is being employed to develop personalised medicines, with the objective of optimising drug release profiles in innovative ways. However, the application of 3D printing in healthcare also encounters obstacles, including the necessity to enhance the biocompatibility of the materials, achieve greater precision in printing, and establish more comprehensive standards and regulations. Nevertheless, the rapid development and wide spread of the use of 3D printing in health cannot be ruled out; more so, it is likely to change the face of healthcare in times to come

Risk factors for plastic bronchitis in children with macrolide-unresponsive Mycoplasma pneumoniae pneumonia and establishment of a nomogram model

To investigate the risk factors for plastic bronchitis (PB) in children with macrolide-unresponsive Mycoplasma pneumoniae pneumonia (MUMPP) and to establish a nomogram prediction model. A retrospective analysis was conducted on 178 children with MUMPP who underwent bronchoscopy from January to December 2023. According to the presence or absence of PB, the children were divided into a PB group (49 children) and a non-PB group (129 children). The predictive factors for the development of PB in children with MUMPP were analyzed, and a nomogram prediction model was established. The model was assessed in terms of discriminatory ability, accuracy, and clinical effectiveness. The multivariate logistic regression analysis showed that older age and higher levels of lactate dehydrogenase and fibrinogen were closely associated with the development of PB in children with MUMPP (P<0.05). A nomogram model established based on these factors had an area under the receiver operating characteristic curve of 0.733 (95%CI: 0.651-0.816, P<0.001) and showed a good discriminatory ability. The Hosmer-Lemeshow goodness-of-fit test indicated that the predictive model had a good degree of fit (P>0.05), and the decision curve analysis showed that the model had a good clinical application value. The risk nomogram model established based on age and lactate dehydrogenase and fibrinogen levels has good discriminatory ability, accuracy, and predictive efficacy for predicting the development of PB in children with MUMPP.

Study on the Prediction Model of Swelling Response of EPDM in Liquid Mixture by Using the Modified Flory–Huggins Interaction Parameter (χHSP)

ABSTRACTThe swelling responses of ethylene propylene diene monomers (EPDM) in cyclohexane/xylene (CYH/X) and cyclohexane/cyclohexanone (CYH/C) binary systems were studied by using equilibrium swelling method, and the co‐solvent effect was further analyzed. The results show that the swelling responses of EPDM in CYH/X and CYH/C binary systems are significantly different. EPDM exhibits more obvious co‐solvent effect in CYH/C binary system which may be generated by the self‐association of cyclohexanone. In addition, the modified Flory–Huggins interaction parameter (χHSP) calculated by three‐dimensional solubility parameters (HSP) was used to establish the prediction model from the correlation with the swelling ratio (qm) of EPDM. The prediction model can be represented by an exponential equation with high degree of fitting, and the calculated qm values from this model are comparable with the experimental values. The prediction model has been employed to evaluate the swelling responses (q‐fitting) of EPDM in IRM 903 test oil/ethanol mixtures theoretically. It reveals that lower χHSP values result in higher swelling responses of EPDM, following the same rule of q–χHSP. Potentially, the prediction model based on χHSP provides a new way to determine the swelling responses of EPDM based rubber parts in any possible fluids.

Method for Measuring and Correcting the Fit of Fixed Dental Prostheses

Abstract BACKGROUND: One of the key quality indicators of non-removable dentures is their tight fit to the prosthetic bed. Errors in the clinical and laboratory stages of denture manufacturing lead to the fact that ready-made non-removable dentures have different degrees of fit. Most methods for assessing the degree of fit of prostheses are mainly of scientific interest and have not found wide clinical application due to the complexity of execution and inconvenience of use. AIM: To improve the effectiveness of prosthetic treatment by enhancing the fit of fixed dental prostheses. MATERIALS AND METHODS: A silicone test and a special device called a calibrator were used to assess the fit of the completed prostheses. The calibrator allows the clinician to quickly and accurately measure the thickness of the silicone film. RESULTS: It was found that all prostheses received from the dental laboratory exhibited varying degrees of fit. The range of values was from 20 μm to 200 μm. The fit of 50% of the prostheses exceeded 100 μm. Clinical adjustment of crowns using the proposed method improved their fit by an average of 59,28%. CONCLUSION: The proposed clinical method for assessing the degree of marginal fit of fixed dentures and its correction allows the doctor to control this indicator and achieve clinically acceptable values. Keywords: fit of fixed prostheses, silicone test, test calibrator, silicone film thickness, marginal gap

Hierarchical quantitative prediction of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertainty risk

In order to provide a reliable basis for the cost management of photovoltaic power generation, it is necessary to accurately predict the depreciation expense of photovoltaic power generation. Therefore, a hierarchical quantitative prediction method of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertain risks is proposed. Based on the conditional value-at-risk theory, a more comprehensive risk measure than VaR is provided, and the uncertainty risk value of photovoltaic power generation is calculated by considering the average loss exceeding this loss value. According to the calculated risk value, a double-layer photovoltaic power generation cost planning model is constructed, the upper and lower objective functions of the model are determined, and the constraint conditions are designed; Obtain a cost planning objective function solution base on a matrix task prioritization method, and generating a prioritization table; Prediction of photovoltaic power generation depreciation expense based on long-short memory neural network for each solution in the sorting table. In practical application, the test results show that this method can complete the risk quantitative analysis of uncertain factors, and the tracking ability and fitting degree of prediction are good; An ordered list of solutions of each objective function can be generated; The method in this paper is used to predict the depreciation expense of photovoltaic power generation in the first 10 solutions of priority ranking, and the maximum deviation of the prediction result is -0.65 million yuan.

SPR fiber optic sensor based on MMF-NCF doped with MgF2 for dual-parameter measurement of temperature and humidity.

Dual-parameter temperature and humidity sensors based on optical fiber sensing have wide applications. Among various optical fiber sensors, surface plasmon resonance (SPR) sensors exhibit excellent sensing sensitivity. To address the bandwidth issue and expand the sensitivity, this paper proposes a multimode fiber-no core fiber (MMF-NCF) SPR sensor. The humidity channel covers an Ag/PVA composite film, while the temperature channel covers an Ag/MgF2/PDMS composite film. The MgF2 modulates the shape of the resonance curve, shifts the resonance curve towards the infrared direction and enhancing the sensitivity by 0.245 nm/oC. Compared with previous temperature and humidity detection ranges up to 20°C ∼ 100°C and 40% ∼ 100%, this has obvious improvement. The maximum sensitivities are -0.5683 nm/%RH and -3.259 nm/oC. The mean temperature sensitivity is -1.88877 nm/oC and the mean humidity sensitivity is -0.51249 nm/%RH. The polynomial fitting degrees reach 0.99914 and 0.99875, and FOM values are 2.715 × 10-2/oC and 4.735 × 10-3/%RH, which is expected to be in agriculture, food industry, such as biological implementation is widely used in production activities.

Assessment of Environmental Suitability for the Spatial Distribution of Minority Villages in Mountainous Areas—Taking Fujian Province as an Example

The geographical environment and economic conditions that influence the spatial distribution of minority villages vary significantly, particularly in mountainous regions where they face different levels of disaster risks. Environmental suitability assessment can help us gain a deeper understanding of the differences and degrees of differences among different villages and provide a basis for resource allocation and planning. This study focuses on 499 national level and 68 provincial level minority villages in Fujian province and evaluates the environmental suitability of their spatial distribution using analysis tools such as ArcMap and GeoDetector. The research findings indicated: (1) The ratio between the influence strengths of natural geographical, socioeconomic, and disaster constraint indicators on the environmental suitability of minority villages in mountainous areas is 5:10:7, with the highest influence being the regional gross domestic product (RGDP) in the socioeconomic indicator (0.509) and the lowest influence being flood sensitivity (0.011). (2) Areas with high suitability values are in the southeast coastal and central regions. From east to west, the suitability values gradually decrease. The suitable areas cover 87.2% of the total region, including 91.9% of the minority villages. (3) The geographical correlation coefficient between the spatial distribution of minority villages and environmental suitability is 86.87, indicating a high degree of spatial interaction and fit between the two. This validates the rationality of the multi-factor evaluation model for assessing the environmental suitability of ethnic village spatial distribution in mountainous areas. (4) There is an inverse “U” relationship between environmental suitability and the distribution of national and provincial level minority villages. With the increase in the suitability index, the number of national level minority villages tends to increase, while the number of provincial level minority villages tends to decrease. The research findings have significant implications for promoting the sustainable development of minority villages in Fujian province and provide reference for the regional development and protection of minority villages in other mountainous areas.

Research on the Estimation Model of Electrical Parameters of Silver-Based Contacts Based on Surface Morphology.

The quality of surface morphology can reflect the electrical performance of silver-based contacts. Existing research on the correlation of morphological-electrical performance is based solely on empirical models from traditional visual inspections and only considers the impact of visually observable macro-textural features on electrical performance. However, the influence of micro-textural features on electrical performance should not be overlooked. This paper establishes a contactless surface morphology acquisition device based on a laser profilometer to address the assembly characteristics of contact components. Various original profile signals such as surface roughness, waviness, and surface form error are calculated using wavelet transformation, and a robust weight function is introduced to separate micro-textural features from macro-textural features. After the morphological parameters affecting electrical performance are quantified, the variation laws of single and composite morphological parameters on electrical performance are clarified. Parameter optimization iterations and parameter space distribution optimization are performed using a decision tree, and the optimized predictive model forecasts specific electrical parameter values. The predicted results are quantitatively evaluated, establishing evaluation metrics that reflect the errors and degree of fit between the model predictions and actual values from different perspectives. From the experimental results, the accuracy of the predictive model established in this study exceeds 97%.

A nomogram for predicting survival in patients with primary testicular lymphoma: A population-based study.

Primary testicular lymphoma (PTL) is a rare malignancy whose epidemiology and prognosis have not been studied. PTL patient data were collected from the SEER online database, and the data were divided into a training cohort and a validation cohort according to random assignment. The training cohort was subjected to a one-way COX regression analysis, and statistically significant differences were included in the multi-factor COX regression analysis and constructed nomograms. Forest plots were constructed based on risk factors. The validity of the nomograms was verified by observing the C-index size of the nomograms, the percentage of area under the ROC curve, and the degree of fit of the prediction curve in the calibration plot. The validation cohort verified the accuracy and applicability of the nomograms. The patient's age, tumor histologic type, Ann Arbor stage, grade of differentiation, and whether or not they received radiation and chemotherapy were significantly associated with poor prognosis in PTL. The nomogram constructed based on multivariate COX regression analysis can predict the prognosis of PTL patients. The online visualization nomogram can help clinicians calculate the survival rate of PTL tumor patients and conduct personalized prognostic assessments for PTL tumor patients.

Australian Palliative Care Outcome Collaboration (PCOC) phases: cross cultural adaptation and psychometric validation for Polish palliative settings

BackgroundMeasuring palliative care quality requires the application of evaluation methods to compare clinically meaningful groups of patients across different settings. Such protocols are currently lacking in Poland. The Australian Palliative Care Outcome Collaboration (PCOC) concept of Palliative phases precisely defines patients, enables episodes of care extraction for benchmarking and further assessment of service delivery. The present study is aimed at developing cross-cultural adaptation and psychometric validation for a Polish translation of Palliative phases.MethodsForward and backward translation was performed to obtain a Polish draft version regarding definitions of the PCOC phases. The draft was then subjected to linguistic and graphical transformations in the process of cognitive interviewing. The acceptability of the Polish version was assessed based on staff perceptions of fit, ease of assignment and familiarity with the patient’s and family’s situation. Finally, cross-sectional analysis was conducted among 313 hospice and home-care palliative patients. The attending doctor and nurse independently evaluated the same patients using the Polish version of the PCOC phases to establish inter-rater reliability values. Then, to determine its construct validity, the PCOC indicators were referred to patients’ prognosis, functioning level and PALCOM scale scores.ResultsA Polish draft version of the PCOC phases was prepared. Seven of the 13 interviewees reported problems with comprehending this proposal. This prompted changes being made to linguistic and graphical aspects of the tool. The majority of respondents preferred the final graphical scheme of phases, prepared after round-two of interviews. Scheme application acceptability was confirmed in a practical trial. The respondents’ overall conviction regarding degree of fit and assignment ease was high. Seventy percent of PCOC phase assignments was in agreement, and a moderate level or inter-rater reliability was obtained (kappa 0.573). The highest proportion of totally bed-bound patients with the shortest survival prognosis was observed for the terminal phase, while the highest complexity of palliative care needs was noted for the unstable one.ConclusionsThe PCOC phases tool appears to be a valuable resource for specialists in palliative care settings to support audit measures. Practical training is recommended prior to its implementation in routine practice.

The relationship between the annual catch of bigeye tuna and climate factors and its prediction

IntroductionIn order to explore the impact of climate factors on bigeye tuna catch, monthly data of nine climate factors, including El Niño-related indices (Niño1 + 2, Niño3, Niño4, and Niño3.4), Southern Oscillation Index (SOI), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), North Pacific Index (NPI), and global sea–air temperature anomaly index (dT), were combined with the annual data of global bigeye tuna catch.MethodsThe relationship between low-frequency climate factors and bigeye tuna catch was studied using long short-term memory(LSTM) model, random forest (RF) model, BP neural network model, extreme gradient boosting tree (XGBoost) model, and Sparrow search optimization algorithm extreme gradient boosting tree (SSA-XGBoost) model.ResultsThe results show that the optimal lag periods corresponding to the climate change characterization factors Niño1 + 2, dT, SOI, NPI, NAO, and PDO are 15 years,12 years, 12 years, 1 year, 14 years, and 4 years, respectively. The SSA-XGBoost model have the highest prediction accuracy, followed by XGBoost, BP, LSTM, and RF. The fitting degree between the predicted values and the actual values of the SSA-XGBoost model is 0.853, the mean absolute error is 0.104, the root mean square error is 0.124.DiscussionThe trend between the predicted values and the actual values of the SSA-XGBoost model is generally consistent, indicating good model fitting performance, which can provide a basis for the management of bigeye tuna fisheries.

DC allowable electric field strength for naphthenic‐based and paraffin‐based transformer oils

AbstractCurrently, the design of transformers insulation predominantly depends on the allowable alternating current (AC) field values for insulating oil established by Weidmann in the 1980s, lacking the research under direct current (DC) voltage for converter transformers. This study selects naphthenic oils and paraffin‐based oil transformer oil as research subjects, establishing a practical measurement platform to ascertain the oil breakdown characteristics under DC voltage. Furthermore, it statistically analyses the allowable DC field values of the oil. The findings elucidate that (1) the three‐parameter Weibull distribution is more suitable to conduct a statistical analysis for oil breakdown probability, yielding a fitting degree up to 99.95%. (2) for a constant electrode spacing, a 14.81% voltage increment escalates the breakdown probability of the oil gap from 3.33% to 73.33%. Concurrently, an increase in electrode spacing leads to a substantial decrement in the breakdown field strength of transformer oil, with KI25X experiencing a 54.51% reduction as electrode spacing extends from 5 to 25 mm. (3) the constant terms of the allowable DC field strength for S4, KI50X, and KI25X are found to be 19.728, 17.221, and 19.281, respectively. (4) a thorough analysis for differences in physicochemical properties and electrical parameters elucidates the variations in insulation properties across different transformer oils. The findings presented in this study offer essential theoretical and technical foundations for the design, evaluation, and enhancement of insulation structures in converter transformers.

The risk factors and prediction model for postoperative pneumonia after craniotomy.

Craniotomy is highly susceptible to postoperative pneumonia, which significantly impacts the outcomes of patients undergoing such procedures. Our study aims to examine the risk factors associated with postoperative pneumonia and establish a predictive model with a nomogram to assess this risk. We conducted a matched 1:1 case-control study involving 831 adult patients undergoing craniotomy at our hospital. Cases consisted of patients who developed postoperative pneumonia within 30 days after surgery, as defined by consensus criteria. Controls were randomly selected from a pool of eligible patients. The overall incidence rate of postoperative pneumonia is 12.39% in a total of 831 surgeries, which associated with unfavorable outcomes. Gram-negative bacteria were found to be the most common causative agents and approximately 27.94% of cases attributed to multi-drug resistant strains. The logistic regression analysis revealed five independent risk factors, as follows: smoking history, surgical duration, postoperative albumin, unplanned re-operation, and deep vein catheterization. A risk prediction model was derived and a nomogram was constructed. The Hosmer-Lemeshow test yielded X2 = 3.871 (P=0.869), and the receiver operator characteristic curve analysis demonstrated an area under the curve of 0.898 (P<0.05), with a sensitivity of 79.6% and a specificity of 85.4%, indicating excellent model fit and predictive performance. In addition, the C-index of the nomogram model was 0.898(95%CI, 0.853~0.941). The calibration curves of the nomogram model showed p-values of 0.797 and the Brier scores were 0.127. The analysis of the clinical decision curve showed that the nomograph model had high clinical application value. Postoperative pneumonia patients after craniotomy exhibits distinct pathogen distribution and is strongly associated with unfavorable outcomes. The risk prediction model developed in this study demonstrates a good fitting degree and predictive performance. The constructed nomogram model is objective, specific, and easily applicable in clinical practice.

Older Adults’ Disorientation in Smartphones: Exploring the Role of Spatial Ability and Quantifying Cognitive Similarity Between Perceived and Physical Information Structure

Older adults are prone to getting lost when switching between screens on smartphones. Navigating through screens can be demanding regarding the user’s spatial ability, which tends to decline with age. This study investigates the impact of information structure and spatial ability on older adults’ navigation in smartphone applications. It proposes a method of quantifying cognitive similarity between older adults’ perceived information structure and designers’ information structure used in applications. Researchers designed three different structured applications as prototypes, with low, medium, and high levels of netting, but with the same contents. Thirty older adults over 65 years of age and thirty younger adults were recruited to participate in the experiment, completing two types of navigation tasks. There were three main findings from our experiment. Firstly, the more reticulated the information structure, the longer the navigation task took the older adults to complete and the more errors were returned, which was the opposite of the results for younger adults. Second, spatial ability has no significant impact on the performance of the process page navigation task. However, it has a significant correlation with the cognitive similarity of older adults to a certain information structure. The higher the score of spatial memory span and pointing ability, the more accurate the cognition construction. Thirdly, the fitting degree of user mind and information structure can be predicted on the premise of specific information structure and given user spatial ability.

Effect of Indenter Angle on Bearing Performance of Coal and Accompanying Rocks Under Point Load and Characterization of Mechanical Parameters

ABSTRACTCoal, mudstone, sandstone, and limestone, which are common in coal mines, were selected as research objects, and 60°, 90°, and 120° indenters were used to conduct point load tests to study the deformation and failure laws of rocks under point loads. This study identified a process for generating and crushing compacted bodies. As the indenter angle increased, the number of compacted bodies formed decreased significantly, and the stress drop decreased. The ultimate invasion depth upon reaching the failure load decreased as a quadratic function as the indenter angle increased. Under the load of indenter points at different angles, all samples underwent splitting failure along the loading axis. As the indenter angle increased, the indentation diameter increased quadratically. The angle of the indenter had a greater influence on the indentation diameter of low‐strength rocks, and the failure of coal and accompanying rocks was more stable under the action of large‐angle indenters. The point load test data were statistically analyzed. The load intensity of the indenter point at different angles exhibited a linear relationship with the uniaxial compressive strength, tensile strength, and elastic modulus, and the fitting degree was the best when the indenter angle was 120°

Research on Paths to Enhance the Quality of Cultural, Sports, and Tourism Consumption Scenarios in Liaoning

With the continuous improvement of the socio-economic development level, people's living standards have been ensured, leading to a greater focus on spiritual satisfaction. This shift provides new opportunities for the tourism industry. During the process of driving economic growth and social development, the integration of culture, sports, and tourism industries has emerged as an important force. The development of these integrated industries, as a new model of industry integration in China, has been found to have a high degree of industry fit through systematic practical application. This integration not only enables effective resource consolidation and optimal allocation but also creates more attractive and competitive products and services to meet diverse consumer demands. Analyzing from the consumer perspective, the integration of culture, sports, and tourism can further stimulate consumers' potential, and how to leverage this integration to enhance consumption levels has become an urgent issue for relevant departments and enterprises. This paper comprehensively analyzes the importance of improving the quality of cultural, sports, and tourism consumption scenarios, proposes solutions to problems encountered during development, and thus promotes high-quality development of the industry.

Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage.

To construct a nomogram model based on clinical risk factors and CT radiohistological features to predict the prognosis of hypertensive intracerebral hemorrhage (HICH). A total of 148 patients with HICH from April 2022 to July 2024 were retrospectively selected as the research subjects. According to the modified Rankin scale at the time of discharge, they were divided into good group (Rankin scale score 0-2) and bad group (Rankin scale score 3-6). To compare the clinical data and the changes of CT radiographic characteristics in patients with different prognosis. Relevant factors affecting the prognosis were analyzed, and nomogram model was established based on the influencing factors. The fitting degree, prediction efficiency and clinical net benefit of the nomogram model were evaluated by calibration curve, ROC curve and clinical decision curve (DCA). Compared with the good group, the hematoma volume in the poor group was significantly increased, the serum thromboxane 2(TXB2) and lysophosphatidic acid receptor 1(LPAR1) levels were significantly increased, and the energy balance related protein (Adropin) level was significantly decreased. The proportions of irregular shape, promiscuous sign, midline displacement, island sign and uneven density were all significantly increased (p < 0.05). In Logistic multivariate analysis, hematoma volume, Adropin, TXB2, LPAR1 and CT radiological features were all independent factors influencing the poor prognosis of HICH (p < 0.05). A nomogram prediction model was established based on the influencing factors. The calibration curve showed that the C-index was 0.820 (95% CI: 0.799-0.861), the goodness of fit test χ2 = 5.479, and p = 0.391 > 0.05, indicating a high degree of fitting. The ROC curve showed that the AUC was 0.896 (95% CI: 0.817-0.923), indicating that this model had high prediction ability. The DCA curve shows that the net benefit of the nomogram model is higher when the threshold probability is 0.1-0.9. The nomogram prediction model established based on hematoma volume, Adropin, TXB2, LPAR1 and other clinical risk factors as well as CT radiographic characteristics has high accuracy and prediction value in the diagnosis of poor prognosis in patients with HICH.

Construction and verification of prediction model for postoperative hypokalemia in patients with oral cancer.

This study aimed to explore the risk factors of postoperative hypokalemia in patients with oral cancer and to provide a basis for preventing and controlling postoperative hypokalemia. We included 366 patients undergoing oral cancer surgery in the Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University from January 2022 to August 2022. Univariate and multivariate analyses were used to determine the risk factors of postoperative hypokalemia. The receiver operation characteristic (ROC) curve was used to quantify the effectiveness of the factors. A nomogram of the risk factors for postoperative hypokalemia in oral cancer patients was developed and validated. A total of 224 patients (61.20%) had postoperative hypokalemia, the lowest serum potassium level (3.50±0.35) mmol/L on the 4th day after surgery, and the highest incidence of hypokalemia (54.68%). Variables with P<0.05 in the univariate analysis were quantified by ROC curve followed by multivariate logistic regression analysis. Results showed an independent correlation with postoperative hypokalemia as follows: preoperative serum potassium<3.87 mmol/L (P=0.008), preoperative serum calcium<2.31 mmol/L (P=0.033), preoperative PNI<49.16 (P=0.032), postoperative drainage volume>264.25 mL (P=0.002). The above variables were constructed into a postoperative hypokalemia risk nomogram and verified, and a good degree of fit was found. The independent risk factors for postoperative hypokalemia in patients with oral cancer were as follows: preoperative serum potassium<3.87 mmol/L, preoperative serum calcium<2.31 mmol/L, preoperative PNI<49.16, and postoperative drainage volume>264.25 mL. Clinical attention should be paid to managing the above high-risk patients. Preventive potassium supplementation should be performed as soon as possible to reduce hypokalemia occurrence.