Effect of safety valve types on the gas venting behavior and thermal runaway hazard severity of large-format prismatic lithium iron phosphate batteries

The safety valve is an important component to ensure the safe operation of lithium-ion batteries(LIBs).However,the effect of safety valve type on the thermal runaway(TR)and gas venting behavior of LIBs,as well as the TR hazard severity of LIBs,are not known.In this paper,the TR and gas venting behavior of three 100 A h lithium iron phosphate(LFP)batteries with different safety valves are investigated under overheating.Compared to previous studies,the main contribution of this work is in studying and evaluating the effect of gas venting behavior and TR hazard severity of LFP batteries with three safety valve types.Two significant results are obtained:(Ⅰ)the safety valve type dominates over gas venting pressure of battery during safety venting,the maximum gas venting pressure of LFP batteries with a round safety valve is 3320 Pa,which is one order of magnitude higher than other batteries with oval or cavity safety valve;(Ⅱ)the LFP battery with oval safety valve has the lowest TR hazard as shown by the TR hazard assessment model based on gray-fuzzy analytic hierarchy process.This study reveals the effect of safety valve type on TR and gas venting,providing a clear direction for the safety valve design.

ASLP-DL—A Novel Approach Employing Lightweight Deep Learning Framework for Optimizing Accident Severity Level Prediction

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident severity.Deep learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and classification.Despite prior success,there is a need for an efficient system recognizing ASL in diverse road conditions.To address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient Descent.The framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved generalization.Sensitivity and factor contribution analyses identify influential predictors.Evaluated on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB dataset.The proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

Relationship between mitochondrial respiratory dysfunction of blood mononuclear cells and heart failure severity

Chronic heart failure(CHF)is a clinical syndrome manifested by reduced pumping ability of the heart,increased pressure in heart chambers in both physical activity and at rest.The symptoms of this syndrome are dyspnea,undue fatigability,peripheral edema,which follow structural and functional changes of the myocardium.[1]The growing incidence of CHF,especially among elderly people,is an urgent problem for medicine in the vast majority of industrialized countries.For instance,in Russian Federation,CHF is diagnosed in about 7%of cardiovascular patients.At the same time,this indicator varies from 0.3%in young people(20-29 years old)to 70%in the older age group.[2,3].

Systemic inflammatory index as a predictive marker for the severity of coronary artery disease in individuals with chronic kidney disease

Objective To evaluate the correlation between the inflammatory intensity,as indicated by the systemic inflammatory index(SII),and the severity of coronary artery disease(CAD)in patients with chronic kidney disease(CKD).Methods A total of 280 CKD patients who underwent coronary angiography were enrolled.CAD was evaluated using the Gen-sini score(GS).Patients were divided into the low,medium and high SII groups according to the tertiles of the SII values.Logist-ic regression analysis was conducted to analyze the relationship between SII and GS.The cutoff points for the sensitivity and spe-cificity of SII in predicting GS were estimated by performing the receiver operating characteristic curve analysis.Results Patients in the higher SII group had a higher prevalence of CAD(P=0.013).In addition,the high SII group had more pa-tients with complex CAD(triple-vessel disease and/or left main coronary artery stenosis)and chronic total occlusion lesions,and more patients required revascularization(P<0.05).Correlation analysis suggested a positive relationship between SII and GS,and in comparison to neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio,SII displayed a stronger correlation with GS(r=0.332,P<0.001).Multifactorial logistic regression analysis revealed that SII is independently associated with the severity of CAD(adjusted OR=1.14,95%CI:1.08-1.21,P<0.01),particularly among elderly patients(age≥65 years).Receiver operating charact-eristic curve analysis indicated that the optimal cutoff value for SII in predicting severe coronary artery stenosis(GS>60)was 6.01(sensitivity:76.30%,specificity:53.50%),with an area under the curve(AUC)of 0.705(95%CI:0.642-0.768,P<0.001),which was sta-tistically significantly better than platelet-to-lymphocyte ratio(AUC=0.646,95%CI:0.579-0.713,P<0.001)and neutrophil-to-lym-phocyte ratio(AUC=0.643,95%CI:0.574-0.712,P<0.001).Conclusions In patients with CKD,SII is independently associated with the severity of CAD,especially in individuals aged 65 ye-ars or older.Furthermore,SII functions as a predictive marker for the severity of coronary lesions.

Potential role of peripheral blood mononuclear cell' s mitochondrial respiratory dysfunction in heart failure severity prediction in patients with cardioverter-defibrillator implantation indications

Background It has been reported that the mitochondrial respiratory dysfunction (MRD) is important mechanisms affecting the heart failure (HF) pathogenesis.We sought to evaluate the potential role of MRD of peripheral blood mononuclear cells (PBMC) in HF severity prediction in patients with cardioverter-defibrillator implantation indications.Methods In this single-center study patients with HF of New York Heart Association (NYHA) Ⅰ-Ⅲ functional class (FC) and cardioverter-defibrillator implantation indications underwent transthoracic echocardiography (TTE) and MRD assessment using PB-MC.Mitochondrial respiration rate (MRR) indicators (pyruvate+malate+adenosine diphosphate;succinate+adenosine diphosphate;pyruvate+malate–adenosine diphosphate[V4.1];succinate–adenosine diphosphate) were calculated.Correlations between HF NYHA FC,TTE and MRR indicators were evaluated.Based on our data,we developed a risk model regarding HF severity.Results Of 53 (100.0%) HF patients,33 (62.3%) had mild exercise intolerance (1stgroup) and 20 (37.7%) had moderate-to-severe exercise intolerance (2ndgroup).Patients with mild exercise intolerance were likely to have a higher V4.1(P<0.001) values.V4.1was independently associated with moderate-to-severe exercise intolerance in univariate and multivariate logistic regression (OR=0.932,95%CI:0.891–0.975,P<0.001).Conclusions The severity of HF is associated with PBMC mitochondrial respiratory dysfunction in patients with cardioverter-defibrillator implantation indications.Our HF severity risk model including V4.1parameters is able to distinguish patients with mild and moderate-to-severe exercise intolerance.Further investigations of their predictive significance are warranted.

Impact of interleukin 6 levels on acute lung injury risk and disease severity in critically ill sepsis patients

BACKGROUND Sepsis is a life-threatening condition characterized by a dysregulation of the host response to infection that can lead to acute lung injury(ALI)and multiple organ dysfunction syndrome(MODS).Interleukin 6(IL-6)is a pro-inflammatory cytokine that plays a crucial role in the pathogenesis of sepsis and its complications.AIM To investigate the relationship among plasma IL-6 levels,risk of ALI,and disease severity in critically ill patients with sepsis.METHODS This prospective and observational study was conducted in the intensive care unit of a tertiary care hospital between January 2021 and December 2022.A total of 83 septic patients were enrolled.Plasma IL-6 levels were measured upon admission using an enzyme-linked immunosorbent assay.The development of ALI and MODS was monitored during hospitalization.Disease severity was evaluated by Acute Physiology and Chronic Health Evaluation II(APACHE II)and Sequential Organ Failure Assessment(SOFA)scores.RESULTS Among the 83 patients with sepsis,38(45.8%)developed ALI and 29(34.9%)developed MODS.Plasma IL-6 levels were significantly higher in patients who developed ALI than in those without ALI(median:125.6 pg/mL vs 48.3 pg/mL;P<0.001).Similarly,patients with MODS had higher IL-6 levels than those without MODS(median:142.9 pg/mL vs 58.7 pg/mL;P<0.001).Plasma IL-6 levels were strongly and positively correlated with APACHE II(r=0.72;P<0.001)and SOFA scores(r=0.68;P<0.001).CONCLUSIONElevated plasma IL-6 levels in critically ill patients with sepsis were associated with an increased risk of ALI andMODS.Higher IL-6 levels were correlated with greater disease severity,as reflected by higher APACHE II andSOFA scores.These findings suggest that IL-6 may serve as a biomarker for predicting the development of ALI anddisease severity in patients with sepsis.

Dietary inflammatory index and its impact on severity and recurrence of Tourette syndrome in children

BACKGROUND Tourette syndrome(TS)is a neurodevelopmental disorder characterized by the presence of motor and vocal tics,typically beginning in childhood.Despite signifi-cant research efforts,the exact pathophysiology of TS remains incompletely understood.Recent studies suggest that inflammation may play a role in the severity and progression of TS,pointing to the potential influence of dietary and lifestyle factors on the condition.Currently,research on the specific connection between dietary inflammatory index(DII)and TS is still in its early stages,requir-ing additional clinical and epidemiological studies to validate the strength and specific mechanisms of this connection.METHODS A total of 207 children diagnosed with TS in the pediatric department of Qingdao Chengyang People’s Hospital from January 2022 to January 2023 were selected.They were divided into stable and unstable groups based on follow-up condi-tions.Before enrollment,general information of the children[age,gender,body mass index(BMI),guardian’s education level,DII score,medical history,family history,academic stress,electronic device usage,medication,and disease progression]was assessed,and serum inflammatory levels were measured during follow-up visits.DII scores and Yale Global Tic Severity Scale(YGTSS)scores were calculated.Furthermore,based on YGTSS scores,the children were classified into mild,moderate,and severe groups.The DII,interleukin-6(IL-6),C-reactive protein(CRP),and tumor necrosis factor-alpha(TNF-α)levels in each group were compared.RESULTS Follow-up surveys were completed by 207 children and their guardians.Among them,117 children were in the stable group,and 90 were in the recurrent group.We found no statistically significant differences in age,gender,comorbidities,BMI,and disease duration between the two groups(P>0.05).However,academic stress,electronic device usage,medication,guardian’s education level,and DII scores showed statistically significant differences between the groups(P<0.05).Multifactorial regression analysis revealed that guardian’s anxiety level,DII score,medication,academic stress,and family history were statistically significant factors(P<0.05)affecting the recurrence of TS in children.Therefore,anxiety level,DII score,medication status,electronic device usage,and academic stress were identified as factors influencing the recurrence of TS in children.Among them,DII score,academic stress,and family history had odds ratios(OR)greater than 1,indicating risk factors,whereas medication status and guardian’s education level had OR values less than 1,indicating protective factors.According to the YGTSS scores,children were categorized into mild,moderate,and severe groups.Comparative analysis of DII and inflammatory levels in children with different degrees of tic disorders revealed that the severe group had the highest DII and inflammatory levels,followed by the moderate group,and the mild group had the lowest levels.The trend of TS progression was consistent with the DII results.Receiver operating characteristic curves were plotted to predict disease progression in patients with TS via inflammatory markers.The areas under the curve for IL-6,CRP,and TNF-αwere 0.894(95%CI:0.817-0.969),0.793(95%CI:0.694-0.893),and 0.728(95%CI:0.614-0.843)respectively,with statistically significant differences(P<0.05).According to the Youden index,the optimal cutoff values were IL-6=3.775 ng/L(sensitivity 68.1%and specificity 68.4%),CRP=6.650 mg/L(sensitivity 60.6%and specificity 68.4%),and TNF-α=0.666(sensitivity 60.6%and specificity 71.1%).CONCLUSION We found a certain correlation between DII and the severity,recurrence,and inflammatory levels of TS in children.Reasonable reduction in the intake of pro-inflammatory foods may be beneficial in reducing the risk of disease progression in children with TS.

Family functioning mediation in tic severity and quality of life for children with Tourette syndrome

BACKGROUND Tourette syndrome(TS)is recognized as a neurodevelopmental disorder profoundly influenced by familial factors,particularly family functioning.However,the relationship among family functioning,tic severity,and quality of life in individuals with TS during childhood and adolescence remains unclear.We hypothesized that family functioning plays a role in the association between the severity of TS and quality of life in children.AIM To determine the role of family functioning in the relationship between TS severity and quality of life.METHODS This study enrolled 139 children(male/female=113/26)with TS.We assessed tic severity using the Yale Global Tic Severity Scale,quality of life via the Tourette Syndrome Quality of Life Scale,and family functioning through the Family Assessment Device.Our analysis focused on correlating these measures and exploring the mediating role of family functioning in the relationship between tic severity and quality of life.Additionally,we examined if this mediating effect varied by gender or the presence of comorbidity.RESULTS We found that family communication dysfunction had a significant mediating effect between tic severity and both psychological symptoms(indirect effect:Β=0.0038,95%confidence interval:0.0006-0.0082)as well as physical and activities of daily living impairment(indirect effect:Β=0.0029,95%confidence interval:0.0004-0.0065).For vocal tic severity,this mediation was found to be even more pronounced.Additionally,in male participants and those without attention deficit hyperactivity disorder,the mediating effect of family communication dysfunction was still evident.CONCLUSION Our study highlights the impact of family functioning on the tic severity and the quality of life in children.This relationship is influenced by gender and comorbid conditions like attention deficit hyperactivity disorder.

Systemic immune-inflammation index combined with pediatric appendicitis score in assessing the severity and prognosis for paediatric appendicitis

BACKGROUND Pediatric appendicitis is a common cause of abdominal pain in children and is recognized as a significant surgical emergency.A prompt and accurate diagnosis is essential to prevent complications such as perforation and peritonitis.AIM To investigate the predictive value of the systemic immune-inflammation index(SII)combined with the pediatric appendicitis score(PAS)for the assessment of disease severity and surgical outcomes in children aged 5 years and older with appendicitis.METHODS Clinical data of 104 children diagnosed with acute appendicitis were analyzed.The participants were categorized into the acute appendicitis group and chronic appendicitis group based on disease presentation and further stratified into the good prognosis group and poor prognosis group based on prognosis.The SII and PAS were measured,and a joint model using the combined SII and PAS was constructed to predict disease severity and surgical outcomes.RESULTS Significant differences were observed in the SII and PAS parameters between the acute appendicitis group and chronic appendicitis group.Correlation analysis showed associations among the SII,PAS,and disease severity,with the combined SII and PAS model demonstrating significant predictive value for assessing disease severity[aera under the curve(AUC)=0.914]and predicting surgical outcomes(AUC=0.857)in children aged 5 years and older with appendicitis.CONCLUSION The study findings support the potential of integrating the SII with the PAS for assessing disease severity and predicting surgical outcomes in pediatric appendicitis,indicating the clinical utility of the combined SII and PAS model in guiding clinical decision-making and optimizing surgical management strategies for pediatric patients with appendicitis.

Delta shock index predicts injury severity,interventions,and outcomes in trauma patients:A 10-year retrospective observational study

BACKGROUND Most trauma occurs among young male subjects in Qatar.We examined the predictive values of the delta shock index(DSI),defined as the change in the shock index(SI)value from the scene to the initial reading in the emergency unit(i.e.,subtracting the calculated SI at admission from SI at the scene),at a Level 1 trauma center.AIM To explore whether high DSI is associated with severe injuries,more interventions,and worse outcomes[i.e.,blood transfusion,exploratory laparotomy,ventilator-associated pneumonia,hospital length of stay(HLOS),and in-hospital mortality]in trauma patients.METHODS A retrospective analysis was conducted after data were extracted from the National Trauma Registry between 2011 and 2021.Patients were grouped based on DSI as low(≤0.1)or high(>0.1).Data were analyzed and compared usingχ2 and Student’s t-tests.Correlations between DSI and injury severity score(ISS),revised trauma score(RTS),abbreviated injury scale(AIS),Glasgow coma scale(GCS),trauma score-ISS(TRISS),HLOS,and number of transfused blood units(NTBU),were assessed using correlation coefficient analysis.The diagnostic testing accuracy for predicting mortality was determined using the validity measures of the DSI.Logistic regression analysis was performed to identify predictors of mortality.RESULTS This analysis included 13212 patients with a mean age of 33±14 years,and 24%had a high DSI.Males accounted for 91%of the study population.The trauma activation level was higher in patients with a high DSI(38%vs 15%,P=0.001).DSI correlated with RTS(r=-0.30),TRISS(r=-0.30),NTBU(r=0.20),GCS(r=-0.24),ISS(r=0.22),and HLOS(r=0.14)(P=0.001 for all).High DSI was associated with significantly higher rates of intubation,laparotomy,ventilator-associated pneumonia,massive transfusion activation,and mortality than low DSI.For mortality prediction,a high DSI had better specificity,negative predictive value,and negative likelihood ratio(77%,99%,and 0.49%,respectively).After adjusting for age,emergency medical services time,GCS score,and ISS,multivariable regression analysis showed that DSI was an independent predictor of mortality(odds ratio=1.9;95%confidence interval:1.35-2.76).CONCLUSION In addition to sex-biased observations,almost one-quarter of the study cohort had a higher DSI and were mostly young.High DSI correlated significantly with the other injury severity scores,which require more time and imaging to be ready to use.Therefore,DSI is a practical,simple bedside tool for triaging and prognosis in young patients with trauma.

Association between Low Ambient Temperature and the Severity of Acute Ischemic Stroke

Objective:To explore the relationships among ambient temperature,ischemic stroke severity,and blood pressure.Methods:Meteorological data(2005–2015)were collected from the Guangzhou Meteorological Data Service.Ischemic stroke patients from the Department of Neurology of the First Affiliated Hospital,Sun Yat-sen University were retrospectively evaluated,each winter from 2005 to 2015.Patient demographics,baseline measurements,and National Institute of Health Stroke Scale(NIHSS)score were evaluated.Results:Three hundred sixty-two patients were included.The median latency from symptom onset to admission was 2 d(IQR:1–3 d).During recruitment,the highest and lowest temperatures were 39℃and 1.3℃,respectively.Hypertension was the most common comorbidity(75.1%).NIHSS scores at admission and discharge were higher in the cold-exposed group than in the controls regardless of the average temperature at admission.In addition,systolic and diastolic blood pressure values at admission were higher in the cold-exposed group than in the controls.When stratified by hypertensive status,the average and minimum temperatures at admission were negatively associated with systolic and diastolic blood pressure values in hypertensive patients.Reductions in the average and minimum temperatures at symptom onset were associated with more severe stroke.Conclusion:Ischemic stroke patients with symptom onset in winter had higher systolic blood pressure values and more serious neurologic deficits upon admission.

Acute pancreatitis:A review of diagnosis,severity prediction and prognosis assessment from imaging technology,scoring system and artificial intelligence

Acute pancreatitis(AP)is a potentially life-threatening inflammatory disease of the pancreas,with clinical management determined by the severity of the disease.Diagnosis,severity prediction,and prognosis assessment of AP typically involve the use of imaging technologies,such as computed tomography,magnetic resonance imaging,and ultrasound,and scoring systems,including Ranson,Acute Physiology and Chronic Health Evaluation II,and Bedside Index for Severity in AP scores.Computed tomography is considered the gold standard imaging modality for AP due to its high sensitivity and specificity,while magnetic resonance imaging and ultrasound can provide additional information on biliary obstruction and vascular complications.Scoring systems utilize clinical and laboratory parameters to classify AP patients into mild,moderate,or severe categories,guiding treatment decisions,such as intensive care unit admission,early enteral feeding,and antibiotic use.Despite the central role of imaging technologies and scoring systems in AP management,these methods have limitations in terms of accuracy,reproducibility,practicality and economics.Recent advancements of artificial intelligence(AI)provide new opportunities to enhance their performance by analyzing vast amounts of clinical and imaging data.AI algorithms can analyze large amounts of clinical and imaging data,identify scoring system patterns,and predict the clinical course of disease.AI-based models have shown promising results in predicting the severity and mortality of AP,but further validation and standardization are required before widespread clinical application.In addition,understanding the correlation between these three technologies will aid in developing new methods that can accurately,sensitively,and specifically be used in the diagnosis,severity prediction,and prognosis assessment of AP through complementary advantages.

Predictive value of presepsin and acylcarnitines for severity and biliary drainage in acute cholangitis

BACKGROUND Bacteremia,which is a major cause of mortality in patients with acute cholangitis,induces hyperactive immune response and mitochondrial dysfunction.Presepsin is responsible for pathogen recognition by innate immunity.Acylcarnitines are established mitochondrial biomarkers.AIM To clarify the early predictive value of presepsin and acylcarnitines as biomarkers of severity of acute cholangitis and the need for biliary drainage.METHODS Of 280 patients with acute cholangitis were included and the severity was stratified according to the Tokyo Guidelines 2018.Blood presepsin and plasma acylcarnitines were tested at enrollment by chemiluminescent enzyme immunoassay and ultra-high-performance liquid chromatography-mass spectrometry,respectively.RESULTS The concentrations of presepsin,procalcitonin,short-and medium-chain acylcarnitines increased,while long-chain acylcarnitines decreased with the severity of acute cholangitis.The areas under the receiver operating characteristic curves(AUC)of presepsin for diagnosing moderate/severe and severe cholangitis(0.823 and 0.801,respectively)were greater than those of conventional markers.The combination of presepsin,direct bilirubin,alanine aminotransferase,temperature,and butyryl-L-carnitine showed good predictive ability for biliary drainage(AUC:0.723).Presepsin,procalcitonin,acetyl-L-carnitine,hydroxydodecenoyl-Lcarnitine,and temperature were independent predictors of bloodstream infection.After adjusting for severity classification,acetyl-L-carnitine was the only acylcarnitine independently associated with 28-d mortality(hazard ratio 14.396;P<0.001)(AUC:0.880).Presepsin concentration showed positive correlation with direct bilirubin or acetyl-L-carnitine.CONCLUSION Presepsin could serve as a specific biomarker to predict the severity of acute cholangitis and need for biliary drainage.Acetyl-L-carnitine is a potential prognostic factor for patients with acute cholangitis.Innate immune response was associated with mitochondrial metabolic dysfunction in acute cholangitis.

Red cell distribution width: A predictor of the severity of hypertriglyceridemia-induced acute pancreatitis

BACKGROUND Compared with patients with other causes of acute pancreatitis,those with hypertriglyceridemia-induced acute pancreatitis(HTG-AP)are more likely to develop persistent organ failure(POF).Therefore,recognizing the individuals at risk of developing POF early in the HTG-AP process is a vital for improving outcomes.Bedside index for severity in acute pancreatitis(BISAP),a simple parameter that is obtained 24 h after admission,is an ideal index to predict HTG-AP severity;however,the suboptimal sensitivity limits its clinical application.Hence,current clinical scoring systems and biochemical parameters are not sufficient for predicting HTG-AP severity.AIM To elucidate the early predictive value of red cell distribution width(RDW)for POF in HTG-AP.METHODS In total,102 patients with HTG-AP were retrospectively enrolled.Demographic and clinical data,including RDW,were collected from all patients on admission.RESULTS Based on the Revised Atlanta Classification,37(33%)of 102 patients with HTG-AP were diagnosed with POF.On admission,RDW was significantly higher in patients with HTG-AP and POF than in those without POF(14.4%vs 12.5%,P<0.001).The receiver operating characteristic curve demonstrated a good discrim-inative power of RDW for POF with a cutoff of 13.1%,where the area under the curve(AUC),sensitivity,and specificity were 0.85,82.4%,and 77.9%,respectively.When the RDW was≥13.1%and one point was added to the original BISAP to obtain a new BISAP score,we achieved a higher AUC,sensitivity,and specificity of 0.89,91.2%,and 67.6%,respectively.CONCLUSION RDW is a promising predictor of POF in patients with HTG-AP,and the addition of RDW can promote the sensitivity of BISAP.

Assessing fire severity in Turkey's forest ecosystems using spectral indices from satellite images

Fire severity classifications determine fire damage and regeneration potential in post-fire areas for effective implementation of restoration applications.Since fire damage varies according to vegetation and fire characteristics,regional assessment of fire severity is crucial.The objectives of this study were:(1)to test the performance of different satellite imagery and spectral indices,and two field—measured severity indices,CBI(Composite Burn Index)and GeoCBI(Geometrically structured Composite Burn Index)to assess fire severity;(2)to calculate classification thresholds for spectral indices that performed best in the study areas;and(3)to generate fire severity maps that could be used to determine the ecological impact of forest fires.Five large fires in Pinus brutia(Turkish pine)and Pinus nigra subsp.pallasiana var.pallasiana(Anatolian black pine)—dominated forests during 2020 and 2021 were selected as study sites.The results show that GeoCBI provided more reliable estimates of field—measured fire severity than CBI.While Sentinel-2 and Landsat-8/OLI images performed similarly well,MODIS performed poorly.Fire severity classification thresholds were determined for Sentinel-2 based RdNBR,dNBR,dSAVI,dNDVI,and dNDMI and Landsat-8/OLI based dNBR,dNDVI,and dSAVI.Among several spectral indices,the highest accuracy for fire severity classification was found for Sentinel-2 based RdNBR(72.1%)and Landsat-8/OLI based dNBR(69.2%).The results can be used to assess and map fire severity in forest ecosystems similar to those in this study.

The role of quick Sepsis-related Organ Failure Assessment score as simple scoring system to predict Fournier gangrene mortality and the correlation with Fournier’s Gangrene Severity Index: Analysis of 69 patients

Objective:Fournier’s gangrene is a rare but life-threatening infection disease with high mortality rate.The quick Sepsis-related Organ Failure Assessment(qSOFA)is a new and simpler scoring system that may identify patients with suspected infection who are at greater risk for a poor outcome.The purpose of this study was to find out role of qSOFA in determining prognosis of Fournier’s gangrene patients.Methods:This study is a case control with retrospective review of Fournier’s gangrene patients treated at Hasan Sadikin Hospital from January 2013 to December 2017 who met inclusion criteria.Participants were divided into two groups according to qSOFA score as high qSOFA(2-3)and low qSOFA(0-1).Results:From 69 patients,the mortality rate was 24.6%.The sensitivity of qSOFA score to predict mortality was 88.2%;the specificity was 94.2%;positive predictive value was 83.3%;negative predictive value was 96.1%;positive likelihood ratio was 15.2;negative likelihood ratio was 0.12;and the area under the receiver operating characteristic curve of qSOFA was 94.2%.There was significant association between qSOFA scale and mortality with p-value of 0.0001.The qSOFA score has strong positive correlation with Fournier’s Gangrene Severity Index(p<0.0001,r=0.704).Conclusion:qSOFA scoring system has a high prognostic value and can be used to determine prognosis of Fournier’s gangrene patients.

Comparison of the Clinical Profile and Severity Factors of COVID-19 during the First 4 Waves in a Paediatric Population of Yaounde

Introduction: COVID-19 is an infectious disease that has been causing a global pandemic since 2019. Although clinical forms are generally less severe in children than in adults, children nevertheless present polymorphous clinical forms and severe cases that can lead to death. Objective: To describe the clinical presentations found in the different waves of COVID-19, and to highlight the different factors of severity. Materials and Methods: We conducted a cross-sectional study with retrospective and prospective data collection which lasted 7 months (from November 2021 to June 2022) and covered a study period from 6 March 2020 to 22 June 2022, i.e. 27 months. All patients aged 0 to 18 years, suspected of having COVID-19, confirmed by real-time RT-PCR or an antigenic Rapid Diagnostic Test or antibody were included. These patients were to be managed in the Mother and Child Centre of the Chantal Biya Foundation, as well as in the Specialised Centre for the Management of COVID patients, annex number II of the Yaoundé Central Hospital. The results were analysed using IBM SPSS.23 software. Results: We included 163 patients in our study. No paediatric patients were registered during the 3rd wave. The mean age of the patients in the study population was 13 ± 5 years with extremes from 15 days to 18 years. We had a female predominance with a sex ratio of 0.83. The most common comorbidity was asthma. The first wave presented mainly with respiratory symptoms such as dry cough and signs of respiratory distress. The second wave presented mainly with digestive symptoms such as diarrhoea, abdominal pain and vomiting. The fourth wave presented with ENT signs such as sore throat, and rhinorrhea. Factors associated with severity were mainly age less than five years (OR = 17.69), vomiting (OR = 6.50), presence of comorbidities (OR = 3.39), and alteration of vital parameters such as bradypnoea (OR = 19.68), bradycardia (OR = 6.34), tachycardia (OR = 3.73), oxygen saturation Conclusion: Clinical presentations varied between waves and the main risk factor was age under 5 years. The fourth wave was less severe than the second wave, which in turn was less severe than the first. (4th nd st) which allows us to humbly recommend more screening for patients under 18 years of age with respiratory, ENT and digestive signs and special attention for those under 5 years of age.

Correlation of EEG power atlas and P300 with depressive episode severity in adolescents hospitalized for the first time

Objective:To investigate the relationship between the changes of electroencephalogram(EEG)power spectrum,P300 latency and amplitude at different frequency bands and the severity of depressive episode in adolescents who were hospitalized for the first time.Methods:A retrospective study was conducted on 126 adolescent patients with depressive episodes who were hospitalized for the first time in the Department of Children and Adolescents of Yunnan Psychiatric Hospital from January 2022 to August 2023.According to Hamilton Depression Rating Scale(HAMD),the patients were divided into three groups:mild depression group(43 cases),moderate depression group(42 cases)and severe depression group(41 cases).The distribution of the 16-lead power spectrum of α,θ,and δ waves in EEG,as well as the latency and amplitude of P300,were compared among the three groups.The association between adolescent depression and its severity was analyzed.Results:(1)The EEG power distribution of the three groups was different in the frequency bands of α,θ and δ(P<0.05).There were differences in the α,θ,and δ frequency bands between mild and moderate as well as severe depressive episodes,and between moderate and severe depressive episodes in the θ and δ frequency bands.(2)P300,N2 latency and P300 amplitude:There were significant differences among the three groups(P<0.05).(3)δFP1,θF3,θC4,P300 latency and N2 latency were positively correlated with the degree of depression;P300 amplitude andα02 were negatively correlated with the degree of depression.(4)The receiver operating characteristic curve(ROC)area of P300 amplitude was 0.932,and the area under the curve ofα02 was 0.776.Conclusion:The combination of resting EEG power and P300 can be used as a biomarker to assess the severity of a depressive episode in adolescents who are hospitalized for the first time and provide a new strategy for treatment.

Plant Disease Severity Assessment Based on Machine Learning and Deep Learning: A Survey

The world’s agricultural production suffers huge losses estimated between 20% and 40% annually. 40% to 50% of such losses are due to pest and diseases which cause significant economic losses every year. Precise assessment of severity is crucial for suitable management of crop diseases. It helps famers to avoid yield losses, reduce production costs, ensure good disease management and so on. This paper is a review of plant diseases severity estimation solutions proposed by researchers the last few years and based on Image Processing Techniques (IPT), classical Machine Learning (ML) and Deep Learning (DL) algorithms. The analysis of these solutions has allowed us to identify their limitations and potential challenges in plant disease severity assessment.

Effect of vaccination status on CORADS and computed tomography severity score in hospitalized COVID-19 patients:A retrospective study

BACKGROUND The coronavirus disease 2019(COVID-19)pandemic is continuing.The disease most commonly affects the lungs.Since the beginning of the pandemic thorax computed tomography(CT)has been an indispensable imaging method for diagnosis and follow-up.The disease is tried to be controlled with vaccines.Vaccination reduces the possibility of a severe course of the disease.AIM The aim of this study is to investigate whether the vaccination status of patients hospitalized due to COVID-19 has an effect on the CT severity score(CT-SS)and CORADS score obtained during hospitalization.METHODS The files of patients hospitalized between April 1,2021 and April 1,2022 due to COVID-19 were retrospectively reviewed.A total of 224 patients who were older than 18 years of age,whose vaccination status was accessible,whose severe acute respiratory syndrome coronavirus 2 polymerase chain reaction result was positive,and who had a Thorax CT scan during hospitalization were included in the study.RESULTS Among the patients included in the study,52.2%were female and the mean age was 61.85 years.The patients applied to the hospital on the average 7th day of their complaints.While 63 patients were unvaccinated(Group 1),20 were vaccinated with a single dose of CoronaVac(Group 2),24 with a single dose of BioNTech(Group 3),38 with 2 doses of CoronaVac(Group 4),40 with 2 doses of BioNTech(Group 5),and 39 with 3 doses of vaccine(2 doses of CoronaVac followed by a single dose of BioNTech,Group 6).CT-SS ranged from 5 to 23,with a mean of 12.17.RESULTS CT-SS mean of the groups were determined as 14.17,13.35,11.58,10.87,11.28,10.85,respectively.Accordingly,as a result of the comparisons between the groups,the CT-SS levels of the unvaccinated patients found to be significantly higher than the other groups.As the vaccination rates increased,the rate of typical COVID-19 findings on CT was found to be significantly lower.CONCLUSION Increased vaccination rates in COVID-19 patients reduce the probability of typical COVID-19 symptoms in the lungs.It also reduces the risk of severe disease and decreases CT Severity Scores.This may lead to a loss of importance of Thorax CT in the diagnosis of COVID-19 pneumonia as the end of the pandemic approaches.