BACKGROUND Nutritional and inflammatory indicators are crucial in assessing the nutritional health and immune function of patients with cancer,which are factors closely associated with the diagnosis and treatment of c...BACKGROUND Nutritional and inflammatory indicators are crucial in assessing the nutritional health and immune function of patients with cancer,which are factors closely associated with the diagnosis and treatment of colorectal cancer(CRC).AIM To explore the relationship between nutritional and inflammatory indicators and microsatellite stability(MSS)status in CRC.METHODS The clinical data of 56 patients who underwent surgical treatment for CRC were collected.Furthermore,the expressions of nutritional(levels of serum albumin,triglycerides,serum cholesterol,and body mass index)and inflammatory response indicators(absolute neutrophil count,absolute lymphocyte count,absolute monocyte count,neutrophil-to-lymphocyte ratio,and lymphocyte-to-monocyte ratio)as well as their correlation with microsatellite instability(MSI)status were investigated in patients with CRC.RESULTS Compared to the patients with MSS tumors,those with MSI tumors demonstrated significantly lower levels of two nutritional indicators,namely serum albumin and body mass index(P<0.05).Moreover,patients in the MSI group demonstrated significantly lower absolute lymphocyte counts and higher neutrophil-to-lymphocyte ratio than those in the MSS group(P<0.05),indicating pronounced differences in inflammatory responses and immune states between the two groups.CONCLUSION Certain nutritional and inflammatory indicators exhibit significant differences among patients with MSI and MSS CRC,highlighting their potential role in the clinical treatment and health management of this specific population.展开更多
Background: The irrational use of medicines remains a key health problem in many developing countries. The overuse of antibiotics is a key driver of antimicrobial resistance (AMR). This study surveyed antibiotic use a...Background: The irrational use of medicines remains a key health problem in many developing countries. The overuse of antibiotics is a key driver of antimicrobial resistance (AMR). This study surveyed antibiotic use and adherence to the World Health Organization (WHO) prescribing indicators at the Request Muntanga Hospital in the Kalomo District of Southern Province, Zambia. Materials and Methods: This cross-sectional study was conducted from July 2023 to September 2023 at Request Muntanga Hospital in Zambia and reviewed 600 medical record prescriptions which were issued from July 1, 2022 to June 30, 2023 using the WHO prescribing indicators. The collected data were analyzed using Statistical Package for Social Sciences version 23.0. Results: From the 600 prescriptions sampled, 1246 medicines were prescribed, with antibiotics making up 86.7% of the encounters. Additionally, the average number of drugs prescribed per encounter was 2.1 and the prevalence of polypharmacy was 61.3%. Further, 17.8% of medicines were prescribed as injectables. Furthermore, 76.7% of the drugs were prescribed from the Zambia Essential Medicines List and 38.9% by generic names. Conclusions: This study found a high use of antibiotics and deviations from the WHO/International Network of Rational Use of Drugs (INRUD) core prescribing indicators at the Request Muntanga Hospital indicating non-adherence to the prescribing indicators. There is a need to promote adherence to the WHO/INRUD core prescribing indicators to promote the rational use of antibiotics and prevent the emergence and spread of AMR.展开更多
BACKGROUND Globally,it’s estimated that at least 1 billion people have a near and/or distance vision impairment that could have been prevented or is yet to be addressed.The burden of unaddressed vision impairment and...BACKGROUND Globally,it’s estimated that at least 1 billion people have a near and/or distance vision impairment that could have been prevented or is yet to be addressed.The burden of unaddressed vision impairment and blindness is estimated to be four times higher in low and intermediate-resource settings than in high-income settings.[1]展开更多
Objective Blood culture remains the gold standard for diagnosing bloodstream infections.Clinical laboratories must ensure the quality of blood culture processes from receipt to obtaining definitive results.We examined...Objective Blood culture remains the gold standard for diagnosing bloodstream infections.Clinical laboratories must ensure the quality of blood culture processes from receipt to obtaining definitive results.We examined laboratory analytical indicators associated with positive blood culture results.Methods Blood cultures collected from Peking Union Medical College Hospital between January 1,2020,and December 31,2022,were retrospectively analyzed.The mode of transportation(piping logistics delivery vs.staff),source of blood cultures(outpatient/emergency department vs.inpatient department),rotation of personnel,and time of reception(8:00–19:59 vs.20:00–07:59)were compared between blood culture-positive and-negative results.Results Between 2020 and 2022,the total positive rate of blood culture was 8.07%.The positive rate of blood cultures in the outpatient/emergency department was significantly higher than that in the inpatient department(12.46%vs.5.83%;P<0.0001).The time-to-detection of blood cultures was significantly affected by the delivery mode and personnel rotation.The blood culture positive rate of the total pre-analytical time within 1 h was significantly higher than that within 1–2 h or>2 h(P<0.0170).Conclusion Laboratory analytical indicators such as patient source,transportation mode,and personnel rotation significantly impacted the positive detection rate or time of blood culture.展开更多
This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao ...This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao et al,this article aims to highlight the importance of early detection and intervention.This study compre-hensively analyzes various SIIs,examining their correlation with renal compli-cations in newly diagnosed type 1 diabetic children.The findings reveal a sig-nificant association between immune system dysregulation and the onset of renal damage,suggesting that certain immune indicators can be early markers for predicting renal complications.This editorial emphasizes the clinical implications and applications of utilizing SIIs for early detection in pediatric diabetes care.It underscores the importance of innovative diagnostic approaches and illustrates real-world applications and outcomes.Additionally,it addresses the challenges and considerations in adopting these indicators and outlines future research directions to enhance diabetes management in children.展开更多
This paper focuses on the procurement of construction projects in universities,conducting research on the influencing factors of procurement risks in such projects.By combining questionnaire surveys with expert interv...This paper focuses on the procurement of construction projects in universities,conducting research on the influencing factors of procurement risks in such projects.By combining questionnaire surveys with expert interviews,numerous factors affecting procurement are analyzed.Subsequently,these factors are refined and summarized to construct a procurement risk evaluation index system for construction projects,which includes three first-level indicators,such as process management risk and ethical/legal risk,and is further subdivided into 13 second-level indicators.展开更多
Objective: To analyze the effectiveness of blood test indicators in the differential diagnosis of anemia. Methods: Sixty patients diagnosed with anemia (disease group) from June 2021 to June 2024 were selected. Based ...Objective: To analyze the effectiveness of blood test indicators in the differential diagnosis of anemia. Methods: Sixty patients diagnosed with anemia (disease group) from June 2021 to June 2024 were selected. Based on the type of disease, the group was subdivided into iron deficiency anemia (IDA) with 31 cases, hemolytic anemia (HA) with 11 cases, and aplastic anemia (AA) with 18 cases. Based on the severity of the disease, the group was divided into mild anemia (30 cases), moderate anemia (19 cases), and severe anemia (11 cases). Sixty healthy individuals (control group) were also included, and all underwent blood tests. Comparisons were made between the red blood cell (RBC) indicators of the disease group and the control group, the blood test indicators of different types of anemia, and the serum iron levels of varying severity of anemia. Results: Except for red cell distribution width (RDW), the RBC indicators in the disease group were lower than those in the control group (P < 0.05). Comparisons of RBC indicators among different types of anemia showed significant differences (P < 0.05). Serum iron levels varied significantly among different degrees of anemia severity (P < 0.05). Conclusion: Blood tests can detect anemia, distinguish types of anemia, and assess anemia severity, offering high diagnostic value.展开更多
Additive Manufacturing(AM)can provide customized parts that conventional techniques fail to deliver.One important parameter in AM is the quality of the parts,as a result of the material extrusion 3D printing(3D-P)proc...Additive Manufacturing(AM)can provide customized parts that conventional techniques fail to deliver.One important parameter in AM is the quality of the parts,as a result of the material extrusion 3D printing(3D-P)procedure.This can be very important in defense-related applications,where optimum performance needs to be guaranteed.The quality of the Polyetherimide 3D-P specimens was examined by considering six control parameters,namely,infill percentage,layer height,deposition angle,travel speed,nozzle,and bed temperature.The quality indicators were the root mean square(Rq)and average(Ra)roughness,porosity,and the actual to nominal dimensional deviation.The examination was performed with optical profilometry,optical microscopy,and micro-computed tomography scanning.The Taguchi design of experiments was applied,with twenty-five runs,five levels for each control parameter,on five replicas.Two additional confirmation runs were conducted,to ensure reliability.Prediction equations were constructed to express the quality indicators in terms of the control parameters.Three modeling approaches were applied to the experimental data,to compare their efficiency,i.e.,Linear Regression Model(LRM),Reduced Quadratic Regression Model,and Quadratic Regression Model(QRM).QRM was the most accurate one,still the differences were not high even considering the simpler LRM model.展开更多
Objective:To explore the effectiveness of early enteral nutrition therapy in ICU patients with respiratory failure.Methods:A total of 76 ICU patients with respiratory failure,admitted from May 2024 to May 2025,were in...Objective:To explore the effectiveness of early enteral nutrition therapy in ICU patients with respiratory failure.Methods:A total of 76 ICU patients with respiratory failure,admitted from May 2024 to May 2025,were included in the study.They were divided into an observation group and a control group using a random number table method,and relevant treatment indicators were compared.Results:The total effective rate in the observation group was higher than that in the control group(p<0.05).After treatment,the observation group showed superior lung function,organ function,health status,nutritional status,body mass index,and blood gas analysis indicators compared to the control group(p<0.05).Conclusion:Early enteral nutrition therapy is effective in treating ICU patients with respiratory failure and is beneficial for improving their lung function,nutritional status,and blood gas parameters,making it worthy of promotion.展开更多
This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—cove...This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—covering momentum,volatility,volume,and trend-related technical indicators—are subjected to three distinct feature selection approaches.Specifically,mutual information(MI),recursive feature elimination(RFE),and random forest importance(RFI).By extracting an optimal set of 20 predictors,the proposed framework aims to mitigate redundancy and overfitting while enhancing interpretability.These feature subsets are integrated into support vector regression(SVR),Huber regressors,and k-nearest neighbors(KNN)models to forecast the prices of three leading cryptocurrencies—Bitcoin(BTC/USDT),Ethereum(ETH/USDT),and Binance Coin(BNB/USDT)—across horizons ranging from 1 to 20 days.Model evaluation employs the coefficient of determination(R2)and the root mean squared logarithmic error(RMSLE),alongside a walk-forward validation scheme to approximate real-world trading contexts.Empirical results indicate that incorporating momentum and volatility measures substantially improves predictive accuracy,with particularly pronounced effects observed at longer forecast windows.Moreover,indicators related to volume and trend provide incremental benefits in select market conditions.Notably,an 80%–85% reduction in the original feature set frequently maintains or enhances model performance relative to the complete indicator set.These findings highlight the critical role of targeted feature selection in addressing high-dimensional financial data challenges while preserving model robustness.This research advances the field of cryptocurrency forecasting by offering a rigorous comparison of feature selection methods and their effects on multiple digital assets and prediction horizons.The outcomes highlight the importance of dimension-reduction strategies in developing more efficient and resilient forecasting algorithms.Future efforts should incorporate high-frequency data and explore alternative selection techniques to further refine predictive accuracy in this highly volatile domain.展开更多
Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and ...Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and compaction parameters.Design/methodology/approach-To address these issues,a novel multi-indicator IVCT method was proposed,including physical indicator dry density(ρd)and mechanical indicators dynamic stiffness(Krb)and bearing capacity coefficient(K20).Then,a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor,which could monitor the physical-mechanical indicators in real-time.Finally,the optimal vibration compaction parameters,including the moisture content(ω),the diameter-to-maximum particle size ratio(Rd),the thickness-to-maximum particle size ratio(Rh),the vibration frequency(f),the vibration mass(Mc)and the eccentric distance(re),were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.Findings-All results indicated that theρd gradually increased and then stabilized,and the Krb initially increased and then decreased.Moreover,the inflection time of the Krb was present as the optimal compaction time(Tlp)during compaction.Additionally,optimal compaction was achieved whenωwas the water-holding content after mud pumping,Rd was 3.4,Rh was 3.5,f was the resonance frequency,and the ratio between the excitation force and the Mc was 1.8.Originality/value-The findings of this paper were significant for the quality control of HRGA compaction.展开更多
While sustainability is widely recognized as a necessary path for development and climate change mitigation,there is no consensus on this concept’s goals and future aspirations.Advocates of a green economy believe th...While sustainability is widely recognized as a necessary path for development and climate change mitigation,there is no consensus on this concept’s goals and future aspirations.Advocates of a green economy believe that economic growth is a prerequisite for long-term progress and the modernization of society.This entails gradually transitioning to a more sustainable economy and addressing carbon emissions.Therefore,there is a need for the scientific community to investigate how different forms of modernization affect carbon emissions.This study examines the impact of modernization on carbon emissions in China,the world’s largest developing economy,focusing on five indicators of sustainable modernization:ecological modernization,agricultural modernization,digitalization,industrialization,and urbanization.The study analyzes data from 31 Chinese provincial-level regions between 2005 and 2020,using the GeoDetector technique to explore the effects of these indicators on carbon emissions.The spatial analysis reveals a distinct“core-periphery”structure of carbon emissions.The findings demonstrate that ecological modernization and digitalization contribute to reducing emissions.On the other hand,industrialization and urbanization have a positive influence on carbon emissions.Interestingly,agricultural modernization initially increases carbon emissions in the short term but has a diminishing effect in the long term.展开更多
To investigate the effects of plateau environments on driving fatigue,heart rate and electroencephalogram(EEG)signals were chosen as indicators to characterize driving fatigue.The study analyzed the variation in these...To investigate the effects of plateau environments on driving fatigue,heart rate and electroencephalogram(EEG)signals were chosen as indicators to characterize driving fatigue.The study analyzed the variation in these indicators as drivers transitioned into fatigued stages.By examining the sample entropy of EEG signals and the heart rate variation coefficient,a complex indicator of driving fatigue(CIDF)was established using principal component analysis to overcome the limitations of single-indicator methods.According to the CIDF values,the driving fatigue states in plateau areas were subdivided into three categories,including alertness,mild fatigue,and severe fatigue,by cluster analysis.Optimal binning determined thresholds for different driving fatigue states,which were validated through variance analysis.The results indicate that the CIDF values effectively distinguish the driving fatigue states of drivers in plateau areas.The CIDF thresholds for the alertness and the mild fatigue states are 0.34 and 0.50,respectively.A CIDF value greater than 0.50 indicates that the driver is in a severe fatigue state.展开更多
Despite their strategic hydrological importance for neighbouring areas,the Polish Carpathians are experiencing spatial chaos,which may weaken their adaptability to the progressive climate change.The article attempts t...Despite their strategic hydrological importance for neighbouring areas,the Polish Carpathians are experiencing spatial chaos,which may weaken their adaptability to the progressive climate change.The article attempts to answer the question of whether spatial planning,which is supposed to guarantee spatial order,fulfils its role and whether the knowledge of the natural conditions of spatial development is respected in the spatial planning process.Using GIS techniques,up to 238 communes were analysed in terms of their spatial coverage,the degree of scattered settlement,and the violation of natural barriers by location of buildings in areas that are threatened with mass movements or floods;by settlement on excessively inclined slopes and in areas with adverse climatic conditions.Spearman non-parametric rank correlation analysis and the multidimensional Principal Component Analysis(PCA)technique were performed to investigate relations between spatial chaos indicators and the planning situation.The analysis of the data has revealed that spatial planning does not fulfil its role.Serious errors in location of buildings have been noted even though the communes are covered by local spatial development plans.Scientific knowledge is not sufficiently transferred into planning documents,and bottom-up initiatives cannot replace systemic solutions.There is a need for strengthening the role of environmental studies documents in the spatial planning system.This would facilitate the transfer of scientific knowledge into the planning process and help to protect mountain areas.The development of a special spatial strategy for the Polish Carpathians in compliance with the Carpathian Convention is also recommended.展开更多
Understanding the relationship between modern pollen and vegetation is crucial for interpreting fossil pollen records and assessing human impact on the environment,both of which are essential for effective environment...Understanding the relationship between modern pollen and vegetation is crucial for interpreting fossil pollen records and assessing human impact on the environment,both of which are essential for effective environmental management strategies.Despite numerous studies on fossil pollen records in the Rif landscape,research specifically focusing on modern pollen and its implications for understanding human impact on the natural landscape is notably lacking.This paper presents novel anthropogenic pollen indicators for the Rif Mountains and seeks to evaluate the gradients of human impact on the southern Mediterranean landscape.We employed a combination of modern pollen analysis,vegetation survey,and ordination techniques,incorporating various environmental and land-use variables.Canonical correspondence analysis(CCA)allowed us to evaluate the relationships between pollen types and environmental variables,helping us identify key anthropogenic pollen indicators associated with land use and human activities:Poaceae,Cannabist,Olea-t,and Asteraceae for cultivation;Brassicaceae,Genista-t,Poaceae,Asteraceae and Plantago-t,for grazing;Apiaceae,Urtica-t and Genista-t for slashing and burning.Additionally,an anthropogenic index score(AIS)was calculated for each sampled location.Correspondence analysis(CA)was then used to correlate each specific pollen type with levels of human impact as follows(a)low(e.g.,Cedrus atlantica-t,Quercus canariensis-t),(b)moderate(e.g.,Erica-t,Arbutus unedo-t,Eucalyptus-t),and(c)high(e.g.,Cannabis-t,Brassicaceae,Olea-t,Nicotiana-t).This paper enhances our comprehension of land-use dynamics and impact levels,providing essential insights for evaluating anthropogenic impact trends and human-induced changes in the Rif Mountains landscape.展开更多
Comprehensive Air Quality Model with extensions(CAMx)-Decoupled Direct Method(DDM)simulations of first-order ozone(O_(3))sensitivity to nitrogen oxides(NO_(x))and volatile organic compounds(VOCs)emissions were perform...Comprehensive Air Quality Model with extensions(CAMx)-Decoupled Direct Method(DDM)simulations of first-order ozone(O_(3))sensitivity to nitrogen oxides(NO_(x))and volatile organic compounds(VOCs)emissions were performed and combined with modelled P_(H_(2)O_(2))/P_(HNO_(3))ratios to obtain a range of thresholds for determining O_(3)-sensitivity regimes for different areas of China.Utilising the new threshold ranges for photochemical indicators,the method for determining O_(3)formation in the Ozone Source Apportionment Technology(OSAT)module within CAMx was improved by a dynamically varied threshold of P_(H_(2)O_(2))/P_(HNO_(3))ratio.The O_(3)concentration contributions in the newly added transition regime were apportioned to NO_(x)and VOCs emissions in proportion to the relationship between the P_(H_(2)O_(2))/P_(HNO_(3))ratio and first-order O_(3)sensitivity.The source contributions of O_(3)concentrations from different emission sectors from June to September 2019 were compared using the original and improved CAMx-OSAT.The results showed that the O_(3)concentration contributions changed significantly in the NO_(x)-limited regime,with a maximum decrease of 21.89%,while the contributions increased by up to 7.57%in the VOC-limited regime,and were within 15μg/m^(3)in the transition regime.The modified OSAT module enabled a more sophisticated attribution of O_(3)to precursor emissions and may have far-reaching implications for informing O_(3)pollution control policy.展开更多
To systematically incorporate multiple influencing factors,the coupled-state frequency memory(Co-SFM)network is proposed.This model integrates Copula estimation with neural networks,fusing multilevel data information,...To systematically incorporate multiple influencing factors,the coupled-state frequency memory(Co-SFM)network is proposed.This model integrates Copula estimation with neural networks,fusing multilevel data information,which is then fed into downstream learning modules.Co-SFM employs an upstream fusion module to incorporate multilevel data,thereby constructing a macro-plate-micro data structure.This configuration helps identify and integrate characteristics from different data levels,facilitating a deeper understanding of the internal links within the financial system.In the downstream model,Co-SFM uses a state-frequency memory network to mine hidden frequency information within stock prices,and the multifrequency patterns of sequential data are modeled.Empirical results show that Co-SFM s prediction accuracy for stock price trends is significantly better than that of other models.This is especially evident in multistep medium and long-term trend predictions,where integrating multilevel data results in notably improved accuracy.展开更多
BACKGROUND Conventional five-port laparoscopic surgery,the current standard treatment for colorectal carcinoma(CRC),has many disadvantages.AIM To assess the influence of reduced-port laparoscopic surgery(RPLS)on perio...BACKGROUND Conventional five-port laparoscopic surgery,the current standard treatment for colorectal carcinoma(CRC),has many disadvantages.AIM To assess the influence of reduced-port laparoscopic surgery(RPLS)on perioperative indicators,postoperative recovery,and serum inflammation indexes in patients with CRC.METHODS The study included 115 patients with CRC admitted between December 2019 and May 2023,52 of whom underwent conventional five-port laparoscopic surgery(control group)and 63 of whom underwent RPLS(research group).Comparative analyses were performed on the following dimensions:Perioperative indicators[operation time(OT),incision length,intraoperative blood loss(IBL),and rate of conversion to laparotomy],postoperative recovery(first postoperative exhaust,bowel movement and oral food intake,and bowel sound recovery time),serum inflammation indexes[high-sensitivity C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)],postoperative complications(anastomotic leakage,incisional infection,bleeding,ileus),and therapeutic efficacy.RESULTS The two groups had comparable OTs and IBL volumes.However,the research group had a smaller incision length;lower rates of conversion to laparotomy and postoperative total complication;and shorter time of first postoperative exhaust,bowel movement,oral food intake,and bowel sound recovery;all of which were significant.Furthermore,hs-CRP,IL-6,and TNF-αlevels in the research group were significantly lower than the baseline and those of the control group,and the total effective rate was higher.CONCLUSION RPLS exhibited significant therapeutic efficacy in CRC,resulting in a shorter incision length and a lower conversion rate to laparotomy,while also promoting postoperative recovery,effectively inhibiting the inflammatory response,and reducing the risk of postoperative complications.展开更多
The determination of the compressibility of clay soils is a major concern during the design and construction of geotechnical engineering projects.Directly acquiring precise values of compression indicators from consol...The determination of the compressibility of clay soils is a major concern during the design and construction of geotechnical engineering projects.Directly acquiring precise values of compression indicators from consolidation tests is cumbersome and time-consuming.Based on experimental results from a series of index tests,this study presents a hybrid method that combines the extreme gradient boosting(XGBoost)model with the Bayesian optimization strategy to show the potential for achieving higher accuracy in predicting the compressibility indicators of clay soils.The results show that the proposed XGBoost model selected by Bayesian optimization can predict compression indicators more accurately and reliably than the artificial neural network(ANN)and support vector machine(SVM)models.In addition to the lowest prediction error,the proposed XGBoost-based method enhances the interpretability by feature importance analysis,which indicates that the void ratio is the most important factor when predicting the compressibility of clay soils.This paper highlights the promising prospect of the XGBoost model with Bayesian optimization for predicting unknown property parameters of clay soils and its capability to benefit the entire life cycle of engineering projects.展开更多
Quality indicators in healthcare refer to measurable and quantifiable parameters used to assess and monitor the performance,effectiveness,and safety of healthcare services.These indicators provide a systematic way to ...Quality indicators in healthcare refer to measurable and quantifiable parameters used to assess and monitor the performance,effectiveness,and safety of healthcare services.These indicators provide a systematic way to evaluate the quality of care offered,and thereby to identify areas for improvement and to ensure that patient care meets established standards and best practices.Respiratory therapists play a vital role in areas of clinical administration such as infection control practices and quality improvement initiatives.Quality indicators serve as essential metrics for respiratory therapy departments to assess and enhance the overall quality of care.By systematically tracking and analyzing indicators related to infection control,treatment effectiveness,and adherence to protocols,respiratory care practitioners can identify areas to improve and implement evidence-based changes.This article reviewed how to identify,implement,and monitor quality indicators specific to the respiratory therapy departments to set benchmarks and enhance patient outcomes.展开更多
基金Supported by Grants of the Suzhou Medical Key Discipline,No.SZXK202109Suzhou Clinical Key Disease Project,No.LCZX202111Suzhou Promoting Health through Science and Education Research Project,No.KJXW2021028.
文摘BACKGROUND Nutritional and inflammatory indicators are crucial in assessing the nutritional health and immune function of patients with cancer,which are factors closely associated with the diagnosis and treatment of colorectal cancer(CRC).AIM To explore the relationship between nutritional and inflammatory indicators and microsatellite stability(MSS)status in CRC.METHODS The clinical data of 56 patients who underwent surgical treatment for CRC were collected.Furthermore,the expressions of nutritional(levels of serum albumin,triglycerides,serum cholesterol,and body mass index)and inflammatory response indicators(absolute neutrophil count,absolute lymphocyte count,absolute monocyte count,neutrophil-to-lymphocyte ratio,and lymphocyte-to-monocyte ratio)as well as their correlation with microsatellite instability(MSI)status were investigated in patients with CRC.RESULTS Compared to the patients with MSS tumors,those with MSI tumors demonstrated significantly lower levels of two nutritional indicators,namely serum albumin and body mass index(P<0.05).Moreover,patients in the MSI group demonstrated significantly lower absolute lymphocyte counts and higher neutrophil-to-lymphocyte ratio than those in the MSS group(P<0.05),indicating pronounced differences in inflammatory responses and immune states between the two groups.CONCLUSION Certain nutritional and inflammatory indicators exhibit significant differences among patients with MSI and MSS CRC,highlighting their potential role in the clinical treatment and health management of this specific population.
文摘Background: The irrational use of medicines remains a key health problem in many developing countries. The overuse of antibiotics is a key driver of antimicrobial resistance (AMR). This study surveyed antibiotic use and adherence to the World Health Organization (WHO) prescribing indicators at the Request Muntanga Hospital in the Kalomo District of Southern Province, Zambia. Materials and Methods: This cross-sectional study was conducted from July 2023 to September 2023 at Request Muntanga Hospital in Zambia and reviewed 600 medical record prescriptions which were issued from July 1, 2022 to June 30, 2023 using the WHO prescribing indicators. The collected data were analyzed using Statistical Package for Social Sciences version 23.0. Results: From the 600 prescriptions sampled, 1246 medicines were prescribed, with antibiotics making up 86.7% of the encounters. Additionally, the average number of drugs prescribed per encounter was 2.1 and the prevalence of polypharmacy was 61.3%. Further, 17.8% of medicines were prescribed as injectables. Furthermore, 76.7% of the drugs were prescribed from the Zambia Essential Medicines List and 38.9% by generic names. Conclusions: This study found a high use of antibiotics and deviations from the WHO/International Network of Rational Use of Drugs (INRUD) core prescribing indicators at the Request Muntanga Hospital indicating non-adherence to the prescribing indicators. There is a need to promote adherence to the WHO/INRUD core prescribing indicators to promote the rational use of antibiotics and prevent the emergence and spread of AMR.
文摘BACKGROUND Globally,it’s estimated that at least 1 billion people have a near and/or distance vision impairment that could have been prevented or is yet to be addressed.The burden of unaddressed vision impairment and blindness is estimated to be four times higher in low and intermediate-resource settings than in high-income settings.[1]
基金supported by grants from the National High Level Hospital Clinical Research Funding(2022-PUMCH-B-074)Peking Union Medical College Hospital Research Funding for Postdoc(kyfyjj202320).
文摘Objective Blood culture remains the gold standard for diagnosing bloodstream infections.Clinical laboratories must ensure the quality of blood culture processes from receipt to obtaining definitive results.We examined laboratory analytical indicators associated with positive blood culture results.Methods Blood cultures collected from Peking Union Medical College Hospital between January 1,2020,and December 31,2022,were retrospectively analyzed.The mode of transportation(piping logistics delivery vs.staff),source of blood cultures(outpatient/emergency department vs.inpatient department),rotation of personnel,and time of reception(8:00–19:59 vs.20:00–07:59)were compared between blood culture-positive and-negative results.Results Between 2020 and 2022,the total positive rate of blood culture was 8.07%.The positive rate of blood cultures in the outpatient/emergency department was significantly higher than that in the inpatient department(12.46%vs.5.83%;P<0.0001).The time-to-detection of blood cultures was significantly affected by the delivery mode and personnel rotation.The blood culture positive rate of the total pre-analytical time within 1 h was significantly higher than that within 1–2 h or>2 h(P<0.0170).Conclusion Laboratory analytical indicators such as patient source,transportation mode,and personnel rotation significantly impacted the positive detection rate or time of blood culture.
文摘This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao et al,this article aims to highlight the importance of early detection and intervention.This study compre-hensively analyzes various SIIs,examining their correlation with renal compli-cations in newly diagnosed type 1 diabetic children.The findings reveal a sig-nificant association between immune system dysregulation and the onset of renal damage,suggesting that certain immune indicators can be early markers for predicting renal complications.This editorial emphasizes the clinical implications and applications of utilizing SIIs for early detection in pediatric diabetes care.It underscores the importance of innovative diagnostic approaches and illustrates real-world applications and outcomes.Additionally,it addresses the challenges and considerations in adopting these indicators and outlines future research directions to enhance diabetes management in children.
文摘This paper focuses on the procurement of construction projects in universities,conducting research on the influencing factors of procurement risks in such projects.By combining questionnaire surveys with expert interviews,numerous factors affecting procurement are analyzed.Subsequently,these factors are refined and summarized to construct a procurement risk evaluation index system for construction projects,which includes three first-level indicators,such as process management risk and ethical/legal risk,and is further subdivided into 13 second-level indicators.
文摘Objective: To analyze the effectiveness of blood test indicators in the differential diagnosis of anemia. Methods: Sixty patients diagnosed with anemia (disease group) from June 2021 to June 2024 were selected. Based on the type of disease, the group was subdivided into iron deficiency anemia (IDA) with 31 cases, hemolytic anemia (HA) with 11 cases, and aplastic anemia (AA) with 18 cases. Based on the severity of the disease, the group was divided into mild anemia (30 cases), moderate anemia (19 cases), and severe anemia (11 cases). Sixty healthy individuals (control group) were also included, and all underwent blood tests. Comparisons were made between the red blood cell (RBC) indicators of the disease group and the control group, the blood test indicators of different types of anemia, and the serum iron levels of varying severity of anemia. Results: Except for red cell distribution width (RDW), the RBC indicators in the disease group were lower than those in the control group (P < 0.05). Comparisons of RBC indicators among different types of anemia showed significant differences (P < 0.05). Serum iron levels varied significantly among different degrees of anemia severity (P < 0.05). Conclusion: Blood tests can detect anemia, distinguish types of anemia, and assess anemia severity, offering high diagnostic value.
文摘Additive Manufacturing(AM)can provide customized parts that conventional techniques fail to deliver.One important parameter in AM is the quality of the parts,as a result of the material extrusion 3D printing(3D-P)procedure.This can be very important in defense-related applications,where optimum performance needs to be guaranteed.The quality of the Polyetherimide 3D-P specimens was examined by considering six control parameters,namely,infill percentage,layer height,deposition angle,travel speed,nozzle,and bed temperature.The quality indicators were the root mean square(Rq)and average(Ra)roughness,porosity,and the actual to nominal dimensional deviation.The examination was performed with optical profilometry,optical microscopy,and micro-computed tomography scanning.The Taguchi design of experiments was applied,with twenty-five runs,five levels for each control parameter,on five replicas.Two additional confirmation runs were conducted,to ensure reliability.Prediction equations were constructed to express the quality indicators in terms of the control parameters.Three modeling approaches were applied to the experimental data,to compare their efficiency,i.e.,Linear Regression Model(LRM),Reduced Quadratic Regression Model,and Quadratic Regression Model(QRM).QRM was the most accurate one,still the differences were not high even considering the simpler LRM model.
文摘Objective:To explore the effectiveness of early enteral nutrition therapy in ICU patients with respiratory failure.Methods:A total of 76 ICU patients with respiratory failure,admitted from May 2024 to May 2025,were included in the study.They were divided into an observation group and a control group using a random number table method,and relevant treatment indicators were compared.Results:The total effective rate in the observation group was higher than that in the control group(p<0.05).After treatment,the observation group showed superior lung function,organ function,health status,nutritional status,body mass index,and blood gas analysis indicators compared to the control group(p<0.05).Conclusion:Early enteral nutrition therapy is effective in treating ICU patients with respiratory failure and is beneficial for improving their lung function,nutritional status,and blood gas parameters,making it worthy of promotion.
文摘This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—covering momentum,volatility,volume,and trend-related technical indicators—are subjected to three distinct feature selection approaches.Specifically,mutual information(MI),recursive feature elimination(RFE),and random forest importance(RFI).By extracting an optimal set of 20 predictors,the proposed framework aims to mitigate redundancy and overfitting while enhancing interpretability.These feature subsets are integrated into support vector regression(SVR),Huber regressors,and k-nearest neighbors(KNN)models to forecast the prices of three leading cryptocurrencies—Bitcoin(BTC/USDT),Ethereum(ETH/USDT),and Binance Coin(BNB/USDT)—across horizons ranging from 1 to 20 days.Model evaluation employs the coefficient of determination(R2)and the root mean squared logarithmic error(RMSLE),alongside a walk-forward validation scheme to approximate real-world trading contexts.Empirical results indicate that incorporating momentum and volatility measures substantially improves predictive accuracy,with particularly pronounced effects observed at longer forecast windows.Moreover,indicators related to volume and trend provide incremental benefits in select market conditions.Notably,an 80%–85% reduction in the original feature set frequently maintains or enhances model performance relative to the complete indicator set.These findings highlight the critical role of targeted feature selection in addressing high-dimensional financial data challenges while preserving model robustness.This research advances the field of cryptocurrency forecasting by offering a rigorous comparison of feature selection methods and their effects on multiple digital assets and prediction horizons.The outcomes highlight the importance of dimension-reduction strategies in developing more efficient and resilient forecasting algorithms.Future efforts should incorporate high-frequency data and explore alternative selection techniques to further refine predictive accuracy in this highly volatile domain.
基金funded by the National Key R&D Program“Transportation Infrastructure”project(No.2022YFB2603400)the Technology Research and Development Plan Program of China State Railway Group Co.,Ltd.(No.Q2024T001)the National project pre research project of Suzhou City University(No.2023SGY019).
文摘Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and compaction parameters.Design/methodology/approach-To address these issues,a novel multi-indicator IVCT method was proposed,including physical indicator dry density(ρd)and mechanical indicators dynamic stiffness(Krb)and bearing capacity coefficient(K20).Then,a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor,which could monitor the physical-mechanical indicators in real-time.Finally,the optimal vibration compaction parameters,including the moisture content(ω),the diameter-to-maximum particle size ratio(Rd),the thickness-to-maximum particle size ratio(Rh),the vibration frequency(f),the vibration mass(Mc)and the eccentric distance(re),were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.Findings-All results indicated that theρd gradually increased and then stabilized,and the Krb initially increased and then decreased.Moreover,the inflection time of the Krb was present as the optimal compaction time(Tlp)during compaction.Additionally,optimal compaction was achieved whenωwas the water-holding content after mud pumping,Rd was 3.4,Rh was 3.5,f was the resonance frequency,and the ratio between the excitation force and the Mc was 1.8.Originality/value-The findings of this paper were significant for the quality control of HRGA compaction.
基金National Natural Science Foundation of China,No.42371223,No.42401255。
文摘While sustainability is widely recognized as a necessary path for development and climate change mitigation,there is no consensus on this concept’s goals and future aspirations.Advocates of a green economy believe that economic growth is a prerequisite for long-term progress and the modernization of society.This entails gradually transitioning to a more sustainable economy and addressing carbon emissions.Therefore,there is a need for the scientific community to investigate how different forms of modernization affect carbon emissions.This study examines the impact of modernization on carbon emissions in China,the world’s largest developing economy,focusing on five indicators of sustainable modernization:ecological modernization,agricultural modernization,digitalization,industrialization,and urbanization.The study analyzes data from 31 Chinese provincial-level regions between 2005 and 2020,using the GeoDetector technique to explore the effects of these indicators on carbon emissions.The spatial analysis reveals a distinct“core-periphery”structure of carbon emissions.The findings demonstrate that ecological modernization and digitalization contribute to reducing emissions.On the other hand,industrialization and urbanization have a positive influence on carbon emissions.Interestingly,agricultural modernization initially increases carbon emissions in the short term but has a diminishing effect in the long term.
基金The National Natural Science Foundation of China(No.51768063,51868068).
文摘To investigate the effects of plateau environments on driving fatigue,heart rate and electroencephalogram(EEG)signals were chosen as indicators to characterize driving fatigue.The study analyzed the variation in these indicators as drivers transitioned into fatigued stages.By examining the sample entropy of EEG signals and the heart rate variation coefficient,a complex indicator of driving fatigue(CIDF)was established using principal component analysis to overcome the limitations of single-indicator methods.According to the CIDF values,the driving fatigue states in plateau areas were subdivided into three categories,including alertness,mild fatigue,and severe fatigue,by cluster analysis.Optimal binning determined thresholds for different driving fatigue states,which were validated through variance analysis.The results indicate that the CIDF values effectively distinguish the driving fatigue states of drivers in plateau areas.The CIDF thresholds for the alertness and the mild fatigue states are 0.34 and 0.50,respectively.A CIDF value greater than 0.50 indicates that the driver is in a severe fatigue state.
基金supported by the Minister of Science of the Republic of Poland under the Programme“Regional initiative of excellence”.Agreement No.RID/SP/0010/2024/1.
文摘Despite their strategic hydrological importance for neighbouring areas,the Polish Carpathians are experiencing spatial chaos,which may weaken their adaptability to the progressive climate change.The article attempts to answer the question of whether spatial planning,which is supposed to guarantee spatial order,fulfils its role and whether the knowledge of the natural conditions of spatial development is respected in the spatial planning process.Using GIS techniques,up to 238 communes were analysed in terms of their spatial coverage,the degree of scattered settlement,and the violation of natural barriers by location of buildings in areas that are threatened with mass movements or floods;by settlement on excessively inclined slopes and in areas with adverse climatic conditions.Spearman non-parametric rank correlation analysis and the multidimensional Principal Component Analysis(PCA)technique were performed to investigate relations between spatial chaos indicators and the planning situation.The analysis of the data has revealed that spatial planning does not fulfil its role.Serious errors in location of buildings have been noted even though the communes are covered by local spatial development plans.Scientific knowledge is not sufficiently transferred into planning documents,and bottom-up initiatives cannot replace systemic solutions.There is a need for strengthening the role of environmental studies documents in the spatial planning system.This would facilitate the transfer of scientific knowledge into the planning process and help to protect mountain areas.The development of a special spatial strategy for the Polish Carpathians in compliance with the Carpathian Convention is also recommended.
文摘Understanding the relationship between modern pollen and vegetation is crucial for interpreting fossil pollen records and assessing human impact on the environment,both of which are essential for effective environmental management strategies.Despite numerous studies on fossil pollen records in the Rif landscape,research specifically focusing on modern pollen and its implications for understanding human impact on the natural landscape is notably lacking.This paper presents novel anthropogenic pollen indicators for the Rif Mountains and seeks to evaluate the gradients of human impact on the southern Mediterranean landscape.We employed a combination of modern pollen analysis,vegetation survey,and ordination techniques,incorporating various environmental and land-use variables.Canonical correspondence analysis(CCA)allowed us to evaluate the relationships between pollen types and environmental variables,helping us identify key anthropogenic pollen indicators associated with land use and human activities:Poaceae,Cannabist,Olea-t,and Asteraceae for cultivation;Brassicaceae,Genista-t,Poaceae,Asteraceae and Plantago-t,for grazing;Apiaceae,Urtica-t and Genista-t for slashing and burning.Additionally,an anthropogenic index score(AIS)was calculated for each sampled location.Correspondence analysis(CA)was then used to correlate each specific pollen type with levels of human impact as follows(a)low(e.g.,Cedrus atlantica-t,Quercus canariensis-t),(b)moderate(e.g.,Erica-t,Arbutus unedo-t,Eucalyptus-t),and(c)high(e.g.,Cannabis-t,Brassicaceae,Olea-t,Nicotiana-t).This paper enhances our comprehension of land-use dynamics and impact levels,providing essential insights for evaluating anthropogenic impact trends and human-induced changes in the Rif Mountains landscape.
基金supported by the the National Key Research and Development Project(Nos.2022YFC3701105,2018YFC0213504,2017YFC0213003)the National Natural Science Foundation of China(No.42005112)。
文摘Comprehensive Air Quality Model with extensions(CAMx)-Decoupled Direct Method(DDM)simulations of first-order ozone(O_(3))sensitivity to nitrogen oxides(NO_(x))and volatile organic compounds(VOCs)emissions were performed and combined with modelled P_(H_(2)O_(2))/P_(HNO_(3))ratios to obtain a range of thresholds for determining O_(3)-sensitivity regimes for different areas of China.Utilising the new threshold ranges for photochemical indicators,the method for determining O_(3)formation in the Ozone Source Apportionment Technology(OSAT)module within CAMx was improved by a dynamically varied threshold of P_(H_(2)O_(2))/P_(HNO_(3))ratio.The O_(3)concentration contributions in the newly added transition regime were apportioned to NO_(x)and VOCs emissions in proportion to the relationship between the P_(H_(2)O_(2))/P_(HNO_(3))ratio and first-order O_(3)sensitivity.The source contributions of O_(3)concentrations from different emission sectors from June to September 2019 were compared using the original and improved CAMx-OSAT.The results showed that the O_(3)concentration contributions changed significantly in the NO_(x)-limited regime,with a maximum decrease of 21.89%,while the contributions increased by up to 7.57%in the VOC-limited regime,and were within 15μg/m^(3)in the transition regime.The modified OSAT module enabled a more sophisticated attribution of O_(3)to precursor emissions and may have far-reaching implications for informing O_(3)pollution control policy.
基金The National Natural Science Foundation of China(No.72173018).
文摘To systematically incorporate multiple influencing factors,the coupled-state frequency memory(Co-SFM)network is proposed.This model integrates Copula estimation with neural networks,fusing multilevel data information,which is then fed into downstream learning modules.Co-SFM employs an upstream fusion module to incorporate multilevel data,thereby constructing a macro-plate-micro data structure.This configuration helps identify and integrate characteristics from different data levels,facilitating a deeper understanding of the internal links within the financial system.In the downstream model,Co-SFM uses a state-frequency memory network to mine hidden frequency information within stock prices,and the multifrequency patterns of sequential data are modeled.Empirical results show that Co-SFM s prediction accuracy for stock price trends is significantly better than that of other models.This is especially evident in multistep medium and long-term trend predictions,where integrating multilevel data results in notably improved accuracy.
文摘BACKGROUND Conventional five-port laparoscopic surgery,the current standard treatment for colorectal carcinoma(CRC),has many disadvantages.AIM To assess the influence of reduced-port laparoscopic surgery(RPLS)on perioperative indicators,postoperative recovery,and serum inflammation indexes in patients with CRC.METHODS The study included 115 patients with CRC admitted between December 2019 and May 2023,52 of whom underwent conventional five-port laparoscopic surgery(control group)and 63 of whom underwent RPLS(research group).Comparative analyses were performed on the following dimensions:Perioperative indicators[operation time(OT),incision length,intraoperative blood loss(IBL),and rate of conversion to laparotomy],postoperative recovery(first postoperative exhaust,bowel movement and oral food intake,and bowel sound recovery time),serum inflammation indexes[high-sensitivity C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)],postoperative complications(anastomotic leakage,incisional infection,bleeding,ileus),and therapeutic efficacy.RESULTS The two groups had comparable OTs and IBL volumes.However,the research group had a smaller incision length;lower rates of conversion to laparotomy and postoperative total complication;and shorter time of first postoperative exhaust,bowel movement,oral food intake,and bowel sound recovery;all of which were significant.Furthermore,hs-CRP,IL-6,and TNF-αlevels in the research group were significantly lower than the baseline and those of the control group,and the total effective rate was higher.CONCLUSION RPLS exhibited significant therapeutic efficacy in CRC,resulting in a shorter incision length and a lower conversion rate to laparotomy,while also promoting postoperative recovery,effectively inhibiting the inflammatory response,and reducing the risk of postoperative complications.
基金Project(202206370130)supported by the China Scholarship CouncilProject(2023ZZTS0034)supported by the Fundamental Research Funds for the Central Universities of Central South University,China。
文摘The determination of the compressibility of clay soils is a major concern during the design and construction of geotechnical engineering projects.Directly acquiring precise values of compression indicators from consolidation tests is cumbersome and time-consuming.Based on experimental results from a series of index tests,this study presents a hybrid method that combines the extreme gradient boosting(XGBoost)model with the Bayesian optimization strategy to show the potential for achieving higher accuracy in predicting the compressibility indicators of clay soils.The results show that the proposed XGBoost model selected by Bayesian optimization can predict compression indicators more accurately and reliably than the artificial neural network(ANN)and support vector machine(SVM)models.In addition to the lowest prediction error,the proposed XGBoost-based method enhances the interpretability by feature importance analysis,which indicates that the void ratio is the most important factor when predicting the compressibility of clay soils.This paper highlights the promising prospect of the XGBoost model with Bayesian optimization for predicting unknown property parameters of clay soils and its capability to benefit the entire life cycle of engineering projects.
文摘Quality indicators in healthcare refer to measurable and quantifiable parameters used to assess and monitor the performance,effectiveness,and safety of healthcare services.These indicators provide a systematic way to evaluate the quality of care offered,and thereby to identify areas for improvement and to ensure that patient care meets established standards and best practices.Respiratory therapists play a vital role in areas of clinical administration such as infection control practices and quality improvement initiatives.Quality indicators serve as essential metrics for respiratory therapy departments to assess and enhance the overall quality of care.By systematically tracking and analyzing indicators related to infection control,treatment effectiveness,and adherence to protocols,respiratory care practitioners can identify areas to improve and implement evidence-based changes.This article reviewed how to identify,implement,and monitor quality indicators specific to the respiratory therapy departments to set benchmarks and enhance patient outcomes.
