Academic literature on the topic 'Ranson Criteria'
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Journal articles on the topic "Ranson Criteria"
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Mahajan, Ojas, Satish Mahajan, Kashish Khurana, Sarang Raut, and Nikhil Pantbalekundri. "Ranson Criteria – Old is Gold in Evaluating Acute Pancreatitis?" Journal of Datta Meghe Institute of Medical Sciences University 19, no. 2 (2024): 219–23. http://dx.doi.org/10.4103/jdmimsu.jdmimsu_584_22.
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Abstract Acute pancreatitis (AP) is a communal gastrointestinal condition that can vary in severity and morbidity. The “Ranson Score,” which was created in 1974, was the 1st scoring scheme to predict the cruelty of AP. While the “Ranson Score” has remained popular for decades, it is to have some flaws, such as limited predictive power. It has also been chastised for requiring 48 h to compute the concluding score, which has been found to cause administration delays. Using the electronic databases Medline, PubMed, Embase, and Google, a literature search in English was carried out. The exploration terms were Ranson Criteria OR “Ranson Score” OR AP OR Diagnostic Criteria. Researchers concluded that the “Ranson Score” is comparable to other recent counting systems for classifying AP severity and predicting death, making it a valuable tool for prognosticating AP in contemporary clinical practice. The studies also demonstrated that there is no one best grading system for predicting mortality and severity in AP patients. There are advantages and disadvantages to using each measure, and variations in research outcomes may be attributed to changes in people’s characteristics, AP etiology, and clinical care heterogeneity. The “Ranson Score,” despite being the ancient scoring system known, has preserved its clinical validity over time. These features, combined with its comparative easiness of use and applicability in reserve/constrained situations, make the “Ranson Score” an important and useful instrument in present clinical practice.
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Hernando, Enrique Thorné Vélez, Eduardo Pérez Rojas Luis, María Thorné Vélez Ana, et al. "Ranson criteria for the diagnosis of acute pancreatitis, useful or in disuse?" World Journal of Advanced Research and Reviews 14, no. 2 (2022): 240–45. https://doi.org/10.5281/zenodo.7297887.
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Acute pancreatitis is one of the high-mortality gastrointestinal disorders that requires hospitalization, in this pathology there are various degrees of severity, and it is important to define and stratify them to identify dangerous patients who require aggressive treatment on admission, to identify patients worthy of referral for specialized care and to assign these patients to stratification into subgroups with persistent organ failure and local or systemic complications, the use of scales and criteria is implemented to determine the degree of severity of this and the possible management, among them we find the Ranson criteria, which contribute to the determination of severity, conduct to follow and possible complications, which is usually very useful for the patient's prognosis, but although it is true, the Ranson criteria are simple, easy to remember and very available in any laboratory to carry out ar tests, but they are also limited since they present greater specificity after the first 48 hours of the patient's admission and, in addition, they can be inconclusive because they vary according to the presence or not of a biliary pathology, thus increasing the parameters to be evaluated.
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Uslu, Muhammed Fuad, Esra Timurkaan, Mustafa Timurkaan, and Mustafa Yılmaz. "Inflammatory indices as an indicator of acute pancreatitis severity." Interdisciplinary Medical Journal 16, no. 54 (2025): 38–44. https://doi.org/10.17944/interdiscip.1503687.
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Objective: The present study aimed to compare C-reactive protein (CRP), neutrophil/lymphocyte ratio (NLR), neutrophil/albumin ratio (NAR), platelet/leukocyte ratio (PLR), systemic immune inflammation (SII), systemic inflammation response index (SIRI) and Ranson criteria associated with inflammation in acute pancreatitis (AP). Thus, the study aimed to analyze the significance ranking of these parameters in terms of disease severity. Method: The present retrospective study was conducted after the ethics committee approval was obtained. The study included 221 AP patients visited hospital between 01.01.2018 and 31.12.2023. The patients were categorized into two groups based on Ranson criteria: Group 1 (Ranson≤2, n=147) and Group 2 (Ranson≥3, n=74). Basic participant demographics, laboratory reports, CRP, NLR, NAR, PLR, SII, SIRI and hospitalization periods were recorded in a data form, and the findings were analyzed. Results: There was no difference between the groups based on gender (p=0.094). The Group 2 patients were older (p<0.001) than the ones in Group 1. Furthermore, CRP (p=0.001), NLR (p<0.001), NAR (p<0.001), PLR (p<0.001), SII (p<0.001) and SIRI (p<0.001) were higher in Group 2 patients when compared to Group 1. Also, the hospitalization period was significantly longer in Group 2 (p<0.001) compared to Group 1. Conclusion: In the study, it was determined that the CRP, NAR, PLR, NLR, SII and SIRI findings were significantly higher in AP patients with a Ranson criteria ≥ 3, and a positive correlation was found between Ranson criteria and inflammatory parameters.
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N, Durga Prasad, and Ramarao Kamadi. "A Study to Predict Severe Acute Pancreatitis Using Ransons Score from a Tertiary Health Care Setup." International Journal of Toxicological and Pharmacological Research 13, no. 3 (2023): 399–401. https://doi.org/10.5281/zenodo.11264850.
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<strong>Introduction:</strong> Severe acute pancreatitis (SAP) presents a significant medical challenge, necessitating accurate severity assessment. Ranson’s Criteria, a widely adopted scoring system, aids in prognosis prediction. However, its limitations prompt ongoing refinement efforts. This study investigates Ranson’s score’s diagnostic utility in SAP, addressing its relevance and potential enhancements. <strong>Methods:</strong> This study was conducted in department of General Surgery, government medical College, Eluru. included patients >18 years with acute pancreatitis, excluding those with pancreatic malignancies, undergoing treatment, pregnant, or uncooperative. Demographic, clinical, and biochemical data were collected at baseline and 48 hours. Ranson’s and BISAP scores were compared with the revised Atlanta classification for severity assessment. <strong>Results: </strong>Out of 140 participants, 34 were diagnosed with acute pancreatitis (AP), with a higher prevalence in the 28–37 age group (39%; 13) followed by 48–57 (29.4%; 10). BISAP score ≥3 correlated with increased severity, organ failure, necrosis, and mortality, surpassing Ranson’s score in predicting severe acute pancreatitis. <strong>Conclusion:</strong> SAP poses a significant health threat with notable mortality rates. Alcohol remains a predominant risk factor, particularly among younger individuals. BISAP score ≥3 signifies increased severity and mortality, surpassing Ranson’s score in prognostic accuracy, highlighting its crucial role in acute pancreatitis management.
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Vijay, Kumar Shah1 Subodh Gautam2 Saharoj Siddiqui3 Ashmita Nepal4 Dipesh Kumar Gupta5. "BISAP Score as a Superior Predictor for Severe Acute Pancreatitis Compared to Ranson's Criteria: A cross sectional study." International Journal of Medical Science in Clinical Research and Review 7, no. 05 (2024): 1112–20. https://doi.org/10.5281/zenodo.13998231.
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<strong><u>ABSTRACT</u></strong><strong>:</strong> <strong>Background</strong>: Acute pancreatitis (AP) is an inflammatory condition of the pancreas characterized by activation of pancreatic enzymes to cause self-digestion of the pancreas, which presents as a mild upper abdominal discomfort with local inflammation to severe disease with multi-organ failure. It has a mortality of approximately 1% among all AP but it might be as high as 20% to 30% among those with severe acute pancreatitis (SAP). In clinical practice, accurate classification of the severity of acute pancreatitis is valuable in reducing mortality by clinical decision-making and action. The aim of this study is to compare the accuracy of BISAP scoring system and Ranson scoring system in predicting severity of acute pancreatitis. <strong>Methods: </strong>This is an observational, cross-sectional study conducted using a non-probability purposive sampling method. Result: A total of 25 patients with first episode of Acute Pancreatitis admitted were evaluated. <strong>Result</strong>: BISAP score of less than or equal to 3 predicted 93.75% of severe attacks and 83.3% of mild attacks with a PPV of 93.75% and NPV of 83.3% and accuracy of 90.09%. Ranson’s score of greater than or equal to 4 predicted 42.8 % of severe attacks and 75 % of mild attacks with a positive predictive value of 33.33% and negative predictive value of 75% and accuracy of 60%. BISAP score has a better sensitivity, specificity, PPV, NPV and Accuracy than Ranson score in predicting the severity of AP putting the cutoff score >3 for both the scoring systems. <strong>Conclusion:</strong> BISAP scoring system is very simple, cheap, easy to remember and calculate. It is instantaneous and there is no time delay in contrast to Ranson’s score. It is also found to be superior to RANSON’s score in predicting severity. <strong> </strong> <strong><em>Keywords: Acute Pancreatitis, Accuracy, BISAP score, Ranson Score, Severity</em></strong>
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Hernando Enrique Thorné Vélez, Luis Eduardo Pérez Rojas, Ana María Thorné Vélez, et al. "Ranson criteria for the diagnosis of acute pancreatitis, useful or in disuse?" World Journal of Advanced Research and Reviews 14, no. 2 (2022): 240–45. http://dx.doi.org/10.30574/wjarr.2022.14.2.0365.
Full textAbstract:
Acute pancreatitis is one of the high-mortality gastrointestinal disorders that requires hospitalization, in this pathology there are various degrees of severity, and it is important to define and stratify them to identify dangerous patients who require aggressive treatment on admission, to identify patients worthy of referral for specialized care and to assign these patients to stratification into subgroups with persistent organ failure and local or systemic complications, the use of scales and criteria is implemented to determine the degree of severity of this and the possible management, among them we find the Ranson criteria, which contribute to the determination of severity, conduct to follow and possible complications, which is usually very useful for the patient's prognosis, but although it is true, the Ranson criteria are simple, easy to remember and very available in any laboratory to carry out ar tests, but they are also limited since they present greater specificity after the first 48 hours of the patient's admission and, in addition, they can be inconclusive because they vary according to the presence or not of a biliary pathology, thus increasing the parameters to be evaluated.
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Bulur, Atilla, and Pembegül Yumuştutan. "Disease severity and prognostic nutritional index (PNI), C-reactive protein (CRP), and red blood cell distribution width (RDW) in acute pancreatitis." Medical Science and Discovery 10, no. 2 (2023): 81–86. http://dx.doi.org/10.36472/msd.v10i2.875.
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Objective: Acute pancreatitis is a common emergency. Morbidity control requires early detection of disease severity. Material and Methods: A total of 131 AP patients were analyzed retrospectively. Patients were divided into two groups mild AP (MAP: Ranson score <3) and severe AP (SAP: Ranson score ≥3), according to Ranson’s criteria. Demographic data, hospitalization duration, PNI, CRP, and RDW levels were compared. Any p-value below 0.05 (p<0.05) was accepted as statistically significant. Results: Study included 67 (51.15%) males and 64 (48.85%) females. The age average was 59.74 (19-90) years. 95 (72.52%) patients had MAP, and 36 (27.48%) patients had SAP. Mean hospitalization time, PNI, and CRP differed significantly between the two groups (p=0.010, p<0.05, p<0.05, respectively). The RDW (p=0.380) level difference was insignificant. For SAP prediction; the sensitivity, specificity, and cut-off value according to Ranson code cut-off point for PNI were determined as 80.0% (95% CI:54.8-85.8), %72.2 (95% CI:70.5-87.5) and ≤45.6 (gr/L) + (mm3), respectively, and 94.7% (95% CI:57.8-87.9), %75.0 (95% CI:88.1-98.3) and >105,1 mg/L, respectively for CRP. Conclusion: PNI and CRP values (but not RDW values) were compatible with the disease severity determined by the Ranson criteria.
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Rehan Khan, Muhammad, Tayyaba Mushtaq Khan, Syed Munim Hussain, and Syed Mukarram Hussain. "Accuracy of Bisap Score to Predict Severe Acute Pancreatitis Keeping Ranson Score as Gold Standard." Pakistan Journal of Medical and Health Sciences 15, no. 10 (2021): 3426–28. http://dx.doi.org/10.53350/pjmhs2115103426.
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Objective: To ascertain the diagnostic accuracy of BISAP score to predict severe acute pancreatitis keeping Ranson score as gold standard Study design: Descriptive Cross Sectional study Place and duration of study: Surgical Department, Combined Military Hospital Rawalpindi from January 2017 to July 2017. Methodology: 65 patients having history indicative of acute pancreatitis, serum lipase and serum amylase were measured. Patients with confirmed diagnosis of acute pancreatitis who consented for taking part in the research and achieving the inclusion and exclusion criteria were enrolled for study. Patients were evaluated by adequate history and thorough examination. All patients are investigated for Ranson score and BISAP score and divided into mild and severe pancreatitis on the basis of BISAPS and Ranson scoring. Results: In our study, mean+sd age was 44.92+8.92 years. Frequency of severe acute pancreatitis was 32.3%. Diagnostic accuracy of BISAP score to predict severe acute pancreatitis keeping Ranson score as gold standard had 80.9% of sensitivity, 81% of specificity, 68% of PPV and 90% of NPV. Conclusion: BISAP score have an excellent accuracy for prediction of severe acute pancreatitis as Ranson score. BISAP score can be used as tool for recognition of severe acute pancreatitis within 24 hours in simple and precise manner. Keywords: Severe acute pancreatitis, Prediction, BISAP score, Ranson score, Accuracy
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Bollamreddy, Lokesh, H. K. Tulasi Mohana Rao Ch, Nekkanty Ravi, S. Balagangadhara Rao M, Ranjan Nayak Samir, and Jaya Chandra T. "Study on Comparison between BISAP and Ransons Scores for Predicting Severe Acute Pancreatitis." International Journal of Toxicological and Pharmacological Research 14, no. 5 (2024): 131–33. https://doi.org/10.5281/zenodo.12787614.
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<strong>Introduction: </strong>Severe acute pancreatitis (SAP) requires accurate severity prediction. Studies show mixed results on BISAP and Ranson’s scores. While some favor BISAP’s early prediction, others find comparable accuracy. The debate continues, balancing BISAP’s simplicity with Ranson’s comprehensiveness. Future research aims to refine scoring systems and incorporate advanced diagnostic tools. <strong>Methods: </strong>Demographic, clinical, and biochemical data were collected at baseline and 48 hours post-admission. Ranson’s and BISAP scores were assigned to each patient and compared with the revised Atlanta classification for acute pancreatitis (AP). Parameters evaluated included age, gender, etiology, and various biochemical markers, among others, with data tabulated and graphically presented. <strong>Results: </strong>Among 101 patients, BISAP scores distribution was: 5.94% scored 0, 24.75% scored 1, 34.65% scored 2, 18.81% scored 3, 10.89% scored 4, and 4.95% scored 5; mean score was 2.18±1.23. SAP was observed in 27.72% of patients, with 6.93% mortality. Ranson’s score ≥3 was in 36% of patients. BISAP score demonstrated higher predictive ability for SAP (OR=2.67, P=0.0003) than Ranson’s (OR=1.47). <strong>Conclusion: </strong>Our study provides evidence supporting the superior predictive capability of the BISAP score compared to Ranson’s criteria in identifying SAP cases. Early risk stratification using the BISAP score can aid clinicians in optimizing patient management and improving outcomes in AP.
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Dr, Dileep C. "A Comparison of Clinical Findings and CT Severity Index in Acute Pancreatitis." International Journal of Medical and Pharmaceutical Research 4, no. 4 (2023): 44–50. https://doi.org/10.5281/zenodo.8166306.
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<strong>Background:</strong> Acute pancreatitis is a severe inflammatory condition with a varied clinical course. Early prediction of disease severity is crucial to guide management and improve outcomes. This study aimed to compare the predictive accuracy of Ranson's criteria and Mortele’s modified CT severity index (MDCTSI) in assessing the severity and prognosis of acute pancreatitis. <strong>Methods:</strong> A retrospective study was conducted on 120 patients with acute pancreatitis admitted to the Department of General Surgery in hospitals associated to Bangalore Medical College and Research Institute from September 2021 to August 2022. Patients were evaluated based on clinical findings, laboratory results, and CT scans. Outcomes were assessed using Ranson's score and MDCTSI. <strong>Results</strong>: Both scoring systems accurately predicted the severity of the disease, complications, and mortality. All deaths occurred in patients with a Ranson's score and MDCTSI of >3 and >6, respectively. Patients with a Ranson’s score of >3 and MDCTSI of >6 had a higher rate of complications (59% and 71%, respectively) and ICU admission (100% and 80%, respectively). <strong>Conclusion</strong>: Ranson's scoring system and Mortele’s MDCTSI are effective tools in predicting the clinical course, complications, and mortality in acute pancreatitis. These findings underline the utility of these scoring systems in facilitating patient management and potentially reducing morbidity and mortality.
Dissertations / Theses on the topic "Ranson Criteria"
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Zhang, Chao. "Random delamination of graphite/epoxy laminated composites : stress analysis, failure criteria, experimental characterization and stochastic modeling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63992.pdf.
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Saha, Dibakar. "Improved Criteria for Estimating Calibration Factors for Highway Safety Manual (HSM) Applications." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1701.
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The Highway Safety Manual (HSM) estimates roadway safety performance based on predictive models that were calibrated using national data. Calibration factors are then used to adjust these predictive models to local conditions for local applications. The HSM recommends that local calibration factors be estimated using 30 to 50 randomly selected sites that experienced at least a total of 100 crashes per year. It also recommends that the factors be updated every two to three years, preferably on an annual basis. However, these recommendations are primarily based on expert opinions rather than data-driven research findings. Furthermore, most agencies do not have data for many of the input variables recommended in the HSM. This dissertation is aimed at determining the best way to meet three major data needs affecting the estimation of calibration factors: (1) the required minimum sample sizes for different roadway facilities, (2) the required frequency for calibration factor updates, and (3) the influential variables affecting calibration factors.
In this dissertation, statewide segment and intersection data were first collected for most of the HSM recommended calibration variables using a Google Maps application. In addition, eight years (2005-2012) of traffic and crash data were retrieved from existing databases from the Florida Department of Transportation. With these data, the effect of sample size criterion on calibration factor estimates was first studied using a sensitivity analysis. The results showed that the minimum sample sizes not only vary across different roadway facilities, but they are also significantly higher than those recommended in the HSM. In addition, results from paired sample t-tests showed that calibration factors in Florida need to be updated annually.
To identify influential variables affecting the calibration factors for roadway segments, the variables were prioritized by combining the results from three different methods: negative binomial regression, random forests, and boosted regression trees. Only a few variables were found to explain most of the variation in the crash data. Traffic volume was consistently found to be the most influential. In addition, roadside object density, major and minor commercial driveway densities, and minor residential driveway density were also identified as influential variables.
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Trinkūnienė, Eva. "Statybos rangos sutarčių vertinimo sprendimų paramos sistema internete." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20061215_110144-61689.
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Object of the research. The research object includes a CCA and a model of a web-based decision support system developed by integrating basic knowledge in the sphere of construction management, civil law, mathematical methods and advanced computer technologies; the model system enables effective implementation of aims of various parties of a CCA.
Aim and tasks of the work. The main aim of the dissertation is to develop a theoretical model of a web-based decision support system for legal regulation of CCAs, taking in to consideration principles of construction management, improvement of effectiveness of legal regulation of CCAs, employing computer technologies, theoretical assumptions related to development of e-business systems, and etc.
In order to make an effective theoretical model of a web-based decision support system for legal regulation of CCAs, the following tasks are stated:
• To analyse importance of e-business in improvement of effectiveness of preparation of CCAs.
• To make a feasibility study of the potential of e-business principles, of factors determining effectiveness and of decision support measures in preparation of CCAs.
• To analyse principles of operating decision support systems intended for construction, law and agreement preparation.
• To prepare several models for evaluation of CCAs and to select the best.
• To analyse the potential of application of currently used multiple criteria analysis methods in a web-based decision support system for legal... [to full text]
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ENZVEILER, MARQUES Julian Marcell. "Structural durability analysis with random loadings." Doctoral thesis, Università degli studi di Ferrara, 2021. http://hdl.handle.net/11392/2478820.
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La seguente tesi presenta contributi originali nel campo dell'analisi della durabilità strutturale con carichi casuali. Più precisamente, viene prima presentato un metodo per valutare la varianza del danno a fatica provocato dalla casualità di un carico casuale gaussiano stazionario. Dopo aver esaminato alcuni metodi dalla letteratura, la tesi confronta uno studio di simulazione Monte Carlo nel dominio del tempo e della frequenza con tali metodi teorici. Vengono quindi ricavate le espressioni più adatte per mettere in relazione la varianza del danno direttamente ai parametri di banda di una funzione di densità spettrale (PSD). Le espressioni proposte si applicano a un'ampia gamma di PSD, dai processi a banda stretta a quelli a banda larga.
Vengono inoltre proposti due modelli teorici per valutare la varianza del danno a fatica nel caso non gaussiano. I modelli estendono due soluzioni esistenti in letteratura limitate ai processi gaussiani. I modelli sviluppati sfruttano una trasformazione non lineare che collega i domini gaussiano e non gaussiano, in base a dei coefficienti che vengono utilizzati per quantificare la deviazione dalla distribuzione gaussiana. Vengono eseguite simulazioni numeriche Monte Carlo nel dominio del tempo per confermare la correttezza dei modelli non gaussiani proposti.
Poiché i metodi precedenti richiedono che il carico casuale sia stazionario, l'attenzione è focalizzata sui metodi statistici per identificare i carichi stazionari e non stazionari. Pertanto, si suggerisce l'approccio del run test basato sul danno per rilevare non solo i cambiamenti nella varianza e nel valore medio, ma anche il contenuto in frequenza di un carico casuale con lunghezza finita. In sintesi, l'approccio del run test non parametrico utilizza una sequenza di blocchi non sovrapposti per verificare la stazionarietà del carico. Piuttosto che utilizzare i soliti parametri statistici, ad es. il valore quadratico medio, come output calcolato in ciascun blocco, l'approccio proposto considera il danno calcolato per ciascun blocco. La correttezza del run test basato sui danni viene prima verificata mediante simulazioni numeriche. Successivamente, l'accuratezza dell'approccio proposto è confermata controllando l'ipotesi di stazionarietà dei carichi misurati da una mountain bike.
La tesi analizza anche la variabilità del danno quando calcolata da una o da alcune storie di carico. Per entrambi i casi, le espressioni dell'intervallo di confidenza vengono derivate in modo tale che il danno atteso esatto (ma sconosciuto) ricada all’interno dell'intervallo di confidenza. Utilizzando un esempio numerico, che considera carico PSD in una piattaforma offshore, le espressioni dell'intervallo di confidenza sono in accordo con le simulazioni. Gli intervalli di confidenza proposti per il danno atteso vengono anche studiati misurando i carichi casuali che agiscono su una mountain bike. Poiché l'intero insieme di un numero infinito di carichi non è disponibile e il danno atteso non è quindi noto a priori, una sorta di valore di danno del campione del calibratore (calcolato utilizzando un gran numero di carichi) viene utilizzata per stimare il danno atteso. I risultati ottenuti confermano l'accuratezza dell'approccio proposto in riferimento alle misurazioni reali.
Infine, la tesi presenta un nuovo algoritmo per implementare il criterio a fatica multiassiale con caricamento casuale Carpinteri-Spagnoli-Vantadori (CSV) e per ridurre il tempo di calcolo. Questo obiettivo viene raggiunto dopo aver calcolato le espressioni esatte dei momenti spettrali di sollecitazione in ogni piano ruotato. Ciò consente al nuovo algoritmo di determinare le cinque rotazioni del piano critico senza utilizzare i loop "for / end". Vengono presentati due esempi per confrontare il nuovo algoritmo con la sua versione standard, che sono più veloce computazionale se si considera l'output di stress di tutti i nodi del modello agli elementi finiti.<br>This thesis proposes original contributions aimed at structural durability analysis with random loadings. More precisely, a method to assess the variance of the fatigue damage caused by the randomness of a stationary Gaussian random loading is first presented. After reviewing some methods from the literature, the thesis compares a Monte Carlo simulation study in time- and frequency-domain with such theoretical methods. Best-fitting expressions are then derived to relate the variance of the damage directly to bandwidth parameters of a Power Spectral Density (PSD). The proposed expressions apply to a wide range of PSDs, from narrow-band to wide-band processes.
Two theoretical models to assess the variance of the fatigue damage in non-Gaussian case are further proposed. The models extend two solutions existing in the literature and restricted to Gaussian processes. The developed models exploit a non-linear transformation that links Gaussian and non-Gaussian domains based on skewness and kurtosis coefficients, which are used to quantify the deviation from the Gaussian distribution. Monte Carlo numerical simulations in time-domain are performed to confirm the correctness of the proposed non-Gaussian models.
As the previous methods require that the random load is stationary, attention is focused on statistical methods to identify stationary and non-stationary loadings. Therefore, a damage-based run test approach is suggested to detect not only changes in the variance and mean levels, but also the frequency content of a random time-history with finite time length. In summary, the non-parametric run test approach takes a sequence of non-overlapping blocks to verify the stationarity of time-histories. For each block, a value is calculated for the statistical parameter under investigation. Rather than using the usual statistical parameters, e.g. the root-mean-square value, as the output calculated in each block, the proposed run test approach considers the damage computed for each block. The correctness of the damage-based run test is first verified by numerical simulations. Afterward, the accuracy of the proposed approach is confirmed by checking the stationarity hypothesis of measured time-history records from a Mountain-bike.
The thesis also analyses the variability of the damage when computed from one or few time-histories. For both cases, confidence interval expressions are derived to enclose the exact (but unknown) expected damage. Using a numerical example, which considers a stress PSD in an offshore platform, the confidence interval expressions reveal a good agreement with simulations. The proposed confidence intervals for expected damage is also investigated by measuring the random loadings acting on an instrumented Mountain-bike. As the whole ensemble of an infinite number of time-histories is not available and the expected damage is thus not known a priori, a sort of calibrator sample damage value, which is computed using a large number of measured time-history records, is used to estimate the expected damage. The obtained results confirm the accuracy of the proposed approach also with real measurements.
Last, but not least, the thesis presents a new algorithm to implement the Carpinteri-Spagnoli-Vantadori (CSV) multiaxial fatigue criterion for random loading and to shorten the computation time. This goal is achieved after calculating the exact expressions of stress spectral moments in every rotated plane, which allow the maximum variance and expected maximum peak of normal/shear stress to be computed directly. This allows the new algorithm to determine the five rotations of the critical plane without using 'for/end' loops. Two examples are presented to compare the new algorithm with its standard version, which are particularly remarkable when considering the stress output of all finite element model nodes. The approach behind the new algorithm can also be extended to other multiaxial spectral criteria.
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Martínez, Pizarro Henry Donato. "Predictores de severidad en pancreatitis aguda estudio comparativo entre criterios de Ranson, Apache II y hemoconcetración realizado en el H.N.D.A. Carrión 1999-2002." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2002. https://hdl.handle.net/20.500.12672/2075.
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La pancreatitis aguda es una enfermedad inflamatoria del páncreas exocrino; el rango de incidencia es de 10 a 80 / 100,000 habitantes por año y el rango de mortalidad varia de 2 a 10%. Las causas más comunes son la litiasis biliar y el alcohol. Los pacientes con pancreatitis aguda se presentan con dolor en el hemiabdomen superior y/o diferentes grados de insuficiencia orgánica. El diagnostico se sospecha por una presentación clínica típica y una amilasa serica elevada más de tres veces su valor normal. En presentaciones atípicas podrían requerir confirmación con tomografía axial computarizada. El manejo inmediato es hidratación endovenosa, analgésicos y monitoreo continuo. La mayoría de los pacientes presentan pancreatitis leve y se recuperan sin tratamiento adicional. En 20% de los pacientes la enfermedad es severa y esta asociada con una mortalidad de aproximadamente 20-40%; Estos pacientes requieren un manejo en cuidados intensivos o podrían requerir transferencia a una unidad especializada.<br>Tesis de segunda especialidad
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Lin, Hui-Fen. "A Comparison of Three Item Selection Methods in Criterion-Referenced Tests." Thesis, University of North Texas, 1988. https://digital.library.unt.edu/ark:/67531/metadc332327/.
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This study compared three methods of selecting the best discriminating test items and the resultant test reliability of mastery/nonmastery classifications. These three methods were (a) the agreement approach, (b) the phi coefficient approach, and (c) the random selection approach.
Test responses from 1,836 students on a 50-item physical science test were used, from which 90 distinct data sets were generated for analysis. These 90 data sets contained 10 replications of the combination of three different sample sizes (75, 150, and 300) and three different numbers of test items (15, 25, and 35).
The results of this study indicated that the agreement approach was an appropriate method to be used for selecting criterion-referenced test items at the classroom level, while the phi coefficient approach was an appropriate method to be used at the district and/or state levels. The random selection method did not have similar characteristics in selecting test items and produced the lowest reliabilities, when compared with the agreement and the phi coefficient approaches.
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Prasai, Nilam. "Testing Criterion Validity of Benefit Transfer Using Simulated Data." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/34685.
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The purpose of this thesis is to investigate how the differences between the study and policy sites impact the performance of benefit function transfer. For this purpose, simulated data are created where all information necessary to conduct the benefit function transfer is available. We consider the six cases of difference between the study and policy sites- scale parameter, substitution possibilities, observable characteristics, population preferences, measurement error in variables, and a case of preference heterogeneity at the study site and fixed preferences at the policy site. These cases of difference were considered one at time and their impact on quality of transfer is investigated. RUM model based on reveled preference was used for this analysis. Function estimated at the study site is transferred to the policy site and willingness to pay for five different cases of policy changes are calculated at the study site. The willingness to pay so calculated is compared with true willingness to pay to evaluate the performance of benefit function transfer. When the study and policy site are different only in terms of scale parameter, equality of estimated and true expected WTP is not rejected for 89.7% or more when the sample size is 1000. Similarly, equality of estimated preference coefficients and true preference coefficients is not rejected for 88.8% or more. In this study, we find that benefit transfer performs better only in one direction. When the function is estimated at lower scale and transferred to the policy site with higher scale, the transfer error is less in magnitude than those which are estimated at higher scale and transferred to the policy site with lower scale. This study also finds that transfer error is less when the function from the study site having more site substitutes is transferred to the policy site having less site substitutes whenever there is difference in site substitution possibilities. Transfer error is magnified when measurement error is involved in any of the variables. This study do not suggest function transfer whenever the study siteâ s model is missing one of the important variable at the policy site or whenever the data on variables included in study siteâ s model is not available at the policy site for benefit transfer application. This study also suggests the use of large representative sample with sufficient variation to minimize transfer error in benefit transfer.<br>Master of Science
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Frondana, Iara Moreira. "Model selection for discrete Markov random fields on graphs." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-02022018-151123/.
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In this thesis we propose to use a penalized maximum conditional likelihood criterion to estimate the graph of a general discrete Markov random field. We prove the almost sure convergence of the estimator of the graph in the case of a finite or countable infinite set of variables. Our method requires minimal assumptions on the probability distribution and contrary to other approaches in the literature, the usual positivity condition is not needed. We present several examples with a finite set of vertices and study the performance of the estimator on simulated data from theses examples. We also introduce an empirical procedure based on k-fold cross validation to select the best value of the constant in the estimators definition and show the application of this method in two real datasets.<br>Nesta tese propomos um critério de máxima verossimilhança penalizada para estimar o grafo de dependência condicional de um campo aleatório Markoviano discreto. Provamos a convergência quase certa do estimador do grafo no caso de um conjunto finito ou infinito enumerável de variáveis. Nosso método requer condições mínimas na distribuição de probabilidade e contrariamente a outras abordagens da literatura, a condição usual de positividade não é necessária. Introduzimos alguns exemplos com um conjunto finito de vértices e estudamos o desempenho do estimador em dados simulados desses exemplos. Também propomos um procedimento empírico baseado no método de validação cruzada para selecionar o melhor valor da constante na definição do estimador, e mostramos a aplicação deste procedimento em dois conjuntos de dados reais.
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Heitz, Richard Philip. "Neural Correlates of Speed-Accuracy Tradeoff: An Electrophysiological Analysis." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14523.
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Recent computational models and physiological studies suggest that simple, two-alternative forced-choice decision making can be conceptualized as the gradual accumulation of sensory evidence. Accordingly, information is sampled over time from a sensory stimulus, giving rise to an activation function. A response is emitted when this function reaches a criterion level of activity. Critically, the phenomenon known as speed-accuracy tradeoff (SAT) is modeled as a shift in the response boundaries (criterion). As speed stress increases and criterion is lowered, the information function travels less distance before reaching threshold. This leads to faster overall responses, but also an increase in error rate, given that less information is accumulated. Psychophysiological data using EEG and single-unit recordings from monkey cortex suggest that these accumulator models are biologically plausible. The present work is an effort to strengthen this position. Specifically, it seeks to demonstrate a neural correlate of criterion and demonstrate its relationship to behavior. To do so, subjects performed a letter discrimination paradigm under three levels of speed stress. At the same time, electroencephalogram (EEG) was used to derive a measure known as the lateralized readiness potential, which is known to reflect ongoing motor preparation in motor cortex. In Experiment 1, the amplitude of the LRP was related to speed stress: as subjects were forced to respond more quickly, less information was accumulated before making a response. In other words, criterion lowered. These data are complicated by Experiment 2, which found that there are boundary conditions for this effect to obtain.
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Ledolter, Johannes. "Multi-Unit Longitudinal Models with Random Coefficients and Patterned Correlation Structure: Modelling Issues." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/432/1/document.pdf.
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The class of models which is studied in this paper, multi-unit longitudinal models, combines both the cross-sectional and the longitudinal aspects of observations. Many empirical investigations involve the analysis of data structures that are both cross-sectional (observations are taken on several units at a specific time period or at a specific location) and longitudinal (observations on the same unit are taken over time or space). Multi-unit longitudinal data structures arise in economics and business where panels of subjects are studied over time, biostatistics where groups of patients on different treatments are observed over time, and in situations where data are taken over time and space. Modelling issues in multi-unit longitudinal models with random coefficients and patterned correlation structure are illustrated in the context of two data sets. The first data set deals with short time series data on annual death rates and alcohol consumption for twenty-five European countries. The second data set deals with glaceologic time series data on snow temperature at 14 different locations within a small glacier in the Austrian Alps. A practical model building approach, consisting of model specification, estimation, and diagnostic checking, is outlined. (author's abstract)<br>Series: Forschungsberichte / Institut für Statistik
Books on the topic "Ranson Criteria"
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Liming, Yao, and SpringerLink (Online service), eds. Random-Like Multiple Objective Decision Making. Springer-Verlag Berlin Heidelberg, 2011.
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Hunt, J. G. Pedestrian crossing criteria research: Random crossing model. Transport and Road Research Laboratory, 1991.
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Ng, Chung Fai. Design guide for predicting nonlinear random response (including snap-through) of buckled plates. National Aeronautics and Space Administration, Langley Research Center, 1989.
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Lemeshko, Boris, and Irina Veretel'nikova. Criteria for testing hypotheses about randomness and the absence of a trend. Application Guide. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.
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The monograph discusses the application of statistical criteria aimed at testing hypotheses about the absence of a trend in the analyzed samples. The rejection of such a hypothesis gives grounds to consider the analyzed data as samples of independent equally distributed random variables. We consider a set of special criteria aimed at testing such hypotheses, as well as a set of criteria for the uniformity of laws, the uniformity of averages and the uniformity of variances, which can also be used for these purposes. The disadvantages and advantages of various criteria are emphasized, the application of criteria in conditions of violation of standard assumptions is considered. Estimates of the power of the criteria are given, which allows you to navigate when choosing the most preferred criteria. Following the recommendations will ensure the correctness and increase the validity of statistical conclusions when analyzing data.
 It is intended for specialists who are interested in the application of statistical methods for the analysis of various aspects and trends of the surrounding reality and who are in contact with the processing of experimental results, the need for data analysis in their activities. It will be useful for engineers, researchers, specialists of various profiles (doctors, biologists, sociologists, economists, etc.) who face the need for statistical analysis of experimental results in their activities. It will also be useful for university teachers, graduate students and students.
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Catanzaro, Michael P. Ranson’s Criteria for Acute Pancreatitis. Edited by Rachel J. Kwon. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199384075.003.0045.
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This chapter provides a summary of a landmark historical study in surgery. It describes the history of pancreatitis, gives a summary of the study including study design and results, and relates the study to a modern-day principle of evidence-based medicine: clinical decision rules. The management of pancreatitis has evolved from primarily a surgical disease to one in which operation is rarely undertaken, in part because stratification tools such as Ranson’s criteria have enabled more conservative management of those likely to have favorable outcomes. The development of Ranson’s criteria also paved the way for newer clinical scores that may have more discriminatory power.
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Fearon, James D., and David D. Laitin. Integrating Qualitative and Quantitative Methods. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0033.
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This article describes how qualitative and quantitative tools can be used jointly to strengthen causal inference. It first outlines the findings of statistical analysis of civil war onsets. It then addresses the different criteria for choosing which narratives to tell. A method for structuring narratives that is complementary to the statistical work is reported. Next, the article shows in light of narrative findings the incompleteness of the statistical models that are initially ran. One narrative is emphasized as an example of its potential yield. It underlines some surprises and advantages of the random narrative approach. There are general lessons as well to be learned from the random narrative exercise. The random narrative method allows the assessment of measurement error for variables that are hard to code reliably across large numbers of cases.
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Poplack, Shana. The bare facts of borrowing. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190256388.003.0006.
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This chapter addresses the problem of classifying formally ambiguous bare forms. It illustrates with analysis of three typologically distinct language pairs involving isolating recipients (Wolof, Fongbe, and Igbo) that feature virtually no overt morphology on the noun, obviating the morphological criterion for loanword integration. Here the appeal is to the syntax of nouns and noun phrases, focusing on their variable distribution across different types of modification structure. This expands and systematizes the comparisons of chapters 4 and 5 by considering in greater detail not just the rates of occurrence of a diagnostic but also its variable structure. Regardless of language pair, the overwhelming majority of lone donor-language nouns display quantitative parallels to their relevant recipient-language counterparts in ways far too specific to be random. At the same time, they pattern differently from nouns in unmixed donor-language contexts. This reveals that the donor-language nouns have been borrowed and integrated into different recipients.
Book chapters on the topic "Ranson Criteria"
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Patil, Virendra C., Dany P. John, and Desai Jabbar. "Apache-II score and Ranson criteria with modified CT severity index in predicting the severity of acute pancreatitis." In Tissue Engineering and Regenerative Medicine. CRC Press, 2025. https://doi.org/10.1201/9781003536352-21.
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Stringer, Mark D., and Seyed Ali Mirjalili. "Ranson's criteria." In Eponyms in Surgery and Anatomy of the Liver, Bile Ducts and Pancreas. CRC Press, 2024. http://dx.doi.org/10.1201/9781003579809-53.
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L’Ecuyer, Pierre, and Peter Hellekalek. "Random Number Generators: Selection Criteria and Testing." In Random and Quasi-Random Point Sets. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1702-2_5.
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Grabisch, Michel, Christophe Labreuche, Jean Luc Marichal, and Pedro Miranda. "k-Intolerant Bi-Capacities and Veto Criteria." In Soft Methodology and Random Information Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7_65.
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Schindler, Werner. "Evaluation Criteria for Physical Random Number Generators." In Cryptographic Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-71817-0_3.
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Rio, Simon, Alain Charcosset, Tristan Mary-Huard, Laurence Moreau, and Renaud Rincent. "Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization Approaches." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2205-6_3.
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AbstractThe efficiency of genomic selection strongly depends on the prediction accuracy of the genetic merit of candidates. Numerous papers have shown that the composition of the calibration set is a key contributor to prediction accuracy. A poorly defined calibration set can result in low accuracies, whereas an optimized one can considerably increase accuracy compared to random sampling, for a same size. Alternatively, optimizing the calibration set can be a way of decreasing the costs of phenotyping by enabling similar levels of accuracy compared to random sampling but with fewer phenotypic units. We present here the different factors that have to be considered when designing a calibration set, and review the different criteria proposed in the literature. We classified these criteria into two groups: model-free criteria based on relatedness, and criteria derived from the linear mixed model. We introduce criteria targeting specific prediction objectives including the prediction of highly diverse panels, biparental families, or hybrids. We also review different ways of updating the calibration set, and different procedures for optimizing phenotyping experimental designs.
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Mukherjee, Ayan, Pradeep Kumar Mallick, and Debahuti Mishra. "Chaotic Pseudo Random Number Generator (cPRNG) Using One-Dimensional Logistic Map." In Biologically Inspired Techniques in Many Criteria Decision Making. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8739-6_62.
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Popescu, Theodor D. "Robust Change Detection Method Using Akaike Information Criterion for Signal Segmentation." In Soft Methodology and Random Information Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7_93.
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Sakurai, Tetsuro, and Yasunori Fujikoshi. "Exploring Consistencies of Information Criterion and Test-Based Criterion for High-Dimensional Multivariate Regression Models Under Three Covariance Structures." In Recent Developments in Multivariate and Random Matrix Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56773-6_18.
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Liu, Yan-Kui, and Jinwu Gao. "Convergence Criteria and Convergence Relations for Sequences of Fuzzy Random Variables." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_40.
Full textConference papers on the topic "Ranson Criteria"
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Singh, Reetika, and Goonjan Jain. "Forestrank: Automatic Keyphrase Extraction Leveraging Random Forest Classifier and Multi-Criteria Decision-Making." In 2025 5th Asia Conference on Information Engineering (ACIE). IEEE, 2025. https://doi.org/10.1109/acie64499.2025.00017.
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Suyatinov, Sergey I., Sergey V. Kolentev, and Tatyana I. Bouldakova. "Criteria of identification of medical images." In Saratov Fall Meeting 2002 Laser Physics and Photonics, Spectroscopy, and Molecular Modeling III; Coherent Optics of Ordered and Random Media III, edited by Dmitry A. Zimnyakov, Vladimir L. Derbov, Leonid A. Melnikov, and Lev M. Babkov. SPIE, 2003. http://dx.doi.org/10.1117/12.518498.
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Kato, Kosuke, and Masatoshi Sakawa. "Interactive fuzzy programming based on a probability maximization model using genetic algorithms for two-level integer programming problems involving random variable coefficients." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369420.
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Choi, Byounghoan, and Jianfeng Yang. "Maximum Shearing Stress of a Structure Subjected to Random Excitations." In ASME 2010 Pressure Vessels and Piping Division/K-PVP Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/pvp2010-25478.
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Section III of the ASME Boiler and Pressure Vessel Code provides stress limitations, which are developed based on the maximum shearing stress criteria (Tresca stress criteria). Structures in a nuclear plant are subjected to a variety of loadings (deterministic and random). Unlike the deterministic loadings, the structural responses subjected to random excitations (such as a load induced by a fluid turbulence) must be evaluated in probabilistic terms based on the random vibration theory. One way to evaluate the structural responses under this type of loading is the Monte Carlo simulation. However, in general, a Monte Carlo simulation requires a large sampling, which is not efficient for large structures. This paper implements the Advanced First-Order Reliability Method (AFORM) to evaluate the Tresca stresses at the predefined reliability level. The failure criterion to define the performance function is considered as the principal stress difference (Tresca stress). Numerical examples demonstrate that the proposed method is accurate and efficient.
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Rysavy, Steven, Arturo Flores, Reyes Enciso, and Kazunori Okada. "Classifiability criteria for refining of random walks segmentation." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761585.
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Liu, Yan-Kui, and Xiaodong Dai. "Minimum-Risk Criteria in Two-Stage Fuzzy Random Programming." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295504.
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Raskin, Lev, Oksana Sira, Larysa Sukhomlyn, and Iryna Bachkir. "Symmetrical criterion of random distribution discrimination." In 2017 International Conference on Modern Electrical and Energy Systems (MEES). IEEE, 2017. http://dx.doi.org/10.1109/mees.2017.8248922.
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Wang jian-giang and Wang Run-qi. "Hybrid random multi-criteria decision-making approach with incomplete certain information." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597557.
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Hoang, Dao Minh, Tran Van Xuan, and Tran Ngoc Thang. "A Multi-criteria Fuzzy Random Crop Planning Problem using Evolutionary Optimization." In The Sixth International Conference on Research in Intelligent and Computing. PTI, 2022. http://dx.doi.org/10.15439/2021r02.
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Mahmood, Ali Mirza, and Mrithyumjaya Rao Kuppa. "A composite splitting criterion using random sampling." In 2010 International Conference on Emerging Trends in Robotics and Communication Technologies (INTERACT 2010). IEEE, 2010. http://dx.doi.org/10.1109/interact.2010.5706188.
Full textReports on the topic "Ranson Criteria"
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Nunes, Isadora, Katia Sá, Mônica Rios, Yossi Zana, and Abrahão Baptista. Non-invasive Brain Stimulation in the Management of COVID-19: Protocol for a Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0033.
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Review question / Objective: What is the efficacy or effectiveness of NIBS techniques, specifically repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), transcutaneous auricular vagus nerve stimulation (taVNS), percutaneous auricular vagus nerve stimulation (paVNS), and neck vagus nerve stimulation (nVNS), in the control of outcomes associated with COVID-19 in the acute or post-COVID persistent syndrome? Eligibility criteria: Included clinical studies assessed participants with acute or persistent post-COVID-19 syndrome submitted to NIBS interventions, namely transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), transcranial random noise stimulation (tRNS), transcranial magnetic stimulation (TMS), repetitive transcranial magnetic stimulation (rTMS), theta burst (cTBS or iTBS). Studies that used peripheral and spinal cord stimulation techniques were also included. Those included vagus nerve stimulation (VNS), such as transcutaneous auricular (taVNS), percutaneous auricular (paVNS), transcranial random noise stimulation (tRNS) trans-spinal direct current stimulation (tsDCS) and other peripheral electrical stimulation (PES) techniques. Scientific communication, protocol studies, reviews and non-English papers were excluded.
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Li, Jia-Qi, PWH Kwong, YW Sun, WS So, and A. Sidarta. A comprehensive appraisal of meta-analyses in exercise-based stroke rehabilitation with trial sequential analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0006.
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Review question / Objective: This study aims to use the trial sequential analysis (TSA) method to examine if the published meta-analyses concerning stroke rehabilitation reached the required information size and if the overall effect size is robust as well. Condition being studied: Stroke rehabilitation. Eligibility criteria: Studies were included if they 1) were meta-analyses of random control trials (RCTs) on people with stroke, 2) included meta-analyses results in gait speed (or 6MWT) or bal-ance performance. Studies were excluded if they 1) were conference abstracts, letters to the editor 2) lack the statistical parameters such as mean, standard deviations (SD), and number value in the articles and raw data from the cited studies cannot be found.
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Hori, Tsuneki, Sergio Lacambra Ayuso, Ana María Torres, et al. Índice de Gobernabilidad y Políticas Públicas en Gestión de Riesgo de Desastres (iGOPP): Informe Nacional de Jamaica. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0010084.
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Jamaica es un país que cuenta con una estructura normativa e institucional en gestión del riesgo focalizada principalmente en los aspectos de preparación y respuesta. Si bien se ha venido avanzando en aspectos más comprehensivos de la GRD, estos avances aún no han llegado a nivel de norma. Una excepción de gran relevancia en este sentido es el hecho que el país incluyó dentro de su Plan Nacional de Desarrollo (Visión 2030) objetivo y metas específicas en el tema. El Sistema Nacional para el Manejo de Desastres en Jamaica incluye los niveles nacional, parroquial y comunitario, con responsabilidades y funciones específicas. Este marco institucional también observa la responsabilidad regional establecida en el marco de CARICOM y específicamente del CDEMA. Los resultados de la aplicación del iGOPP en el país muestran un cumplimiento del 17% de los indicadores, para un rango "Bajo" según los criterios establecidos. En el Gráfico 1 se puede observar la situación referente a los componentes de reforma en la política pública para la GRD. Claramente se observa como el componente de preparativos para la respuesta tiene el mayor cumplimiento de indicadores, con un 36% lo que le sitúa en el rango "Incipiente". El componente de Reducción del riesgo también está en ese rango, con un 24% mientras que los demás componentes se encuentran en el rango "Bajo". En cuanto a las fases de la política pública, se puede observar como la fase de política pública con más indicadores cumplidos es la de Coordinación y articulación central de la política, con un 35% dentro del rango "Incipiente". Todas las demás fases se encuentran dentro del rango "Bajo".
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Koduru, Smitha, and Jason Skow. PR-244-153719-R01 Quantification of ILI Sizing Uncertainties and Improving Correction Factors. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011518.
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Operators routinely perform verification digs to assess whether an inline inspection (ILI) tool meets the performance specified by the ILI vendors. Characterizing the actual ILI tool performance using available field and ILI data is a difficult problem due to uncertainties associated with measurements and geometric classification of features. The focus of this project is to use existing ILI and excavation data to develop better approaches for assessing ILI tool performance. For corrosion features, operators are primarily interested in quantifying magnetic flux leakage (MFL) ILI tool sizing error and its relationship to burst pressure estimates. In previously completed PRCI research, a limited MFL ILI dataset was used to determine the corrosion feature depth sizing bias and random error using principles published in API 1163 (2013). The research demonstrated the tendency for ILI predictions to be slightly lower than field measurements (i.e., under-call) for the dataset studied, and it provided a framework for characterizing this bias. The goal of this project was to expand on previous work by increasing the number and type of feature morphologies available for analysis, and by estimating the sizing error of ILI measured external corrosion features. New geometric classification criteria, complementing the current criteria suggested by the Pipeline Operator Forum (POF 2009), were also investigated. Lastly, correction factors based on burst pressure prediction accuracy were developed to account for the effect of adopting various feature interaction rules. This report has a related webinar (member login required).
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Zaika, Oksana V., Tetiana A. Vakaliuk, Andrii V. Riabko, Roman P. Kukharchuk, Iryna S. Mintii, and Serhiy O. Semerikov. Selection of online tools for creating math tests. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4594.
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The article considers online tools for creating tests, which should be used when teaching mathematics in both higher education and general secondary education. Among the variety of online means of creating tests by the method of expert evaluation, three were identified, which allow conducting various tests both in the classroom and remotely, which are free and do not require special conditions for their use and which work on smartphones. The advantages and disadvantages of three online tools for creating tests Kahoot!, Quizizz, Classtime are analyzed, and a comparative description of the selected tools is given. Criteria for the selection of such tools were identified – functional-didactic and organizational. The following indicators belong to the functional-didactic: the presence of different types of questions, including open-ended; use of formulas, both in questions and in answers; use of pictures, both in questions and in answers; no restrictions on the length of questions and answers; instant receipt of results by the teacher, their evaluation and analysis; instant receipt of results by the respondent; to the organizational: the availability of a free version; no need to install the program; ease of use – characterizes the convenience and clarity of the interface for creating tests and their use; possibility of testing in online and offline mode; time limits, both for a single question and the whole test; random order of questions/answer options; instant demonstration of the correct answer to the respondent. With the help of expert evaluation, it was found that according to these criteria, Quizizz is the most appropriate for testing.
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Zhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1920.
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Numerous extant studies are dedicated to enhancing the safety of active transportation modes, but very few studies are devoted to safety analysis surrounding transit stations, which serve as an important modal interface for pedestrians and bicyclists. This study bridges the gap by developing joint models based on the multivariate conditionally autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix. For this purpose, transit-station-centered data in Los Angeles County were used for model development. Feature selection relying on both random forest and correlation analyses was employed, which leads to different covariate inputs to each of the two jointed models, resulting in increased model flexibility. Utilizing an Integrated Nested Laplace Approximation (INLA) algorithm and various evaluation criteria, the results demonstrate that models with a correlation effect between pedestrians and bicyclists perform much better than the models without such an effect. The joint models also aid in identifying significant covariates contributing to the safety of each of the two active transportation modes. The research results can furnish transportation professionals with additional insights to create safer access to transit and thus promote active transportation.
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Lozev. L52022 Validation of Current Approaches for Girth Weld Defect Sizing Accuracy. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0011325.
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Computational tools based on probabilistic fracture mechanics have been developed to enable reliability-based fitness-for-service assessments of flawed girth welds. The same tools are readily adapted for establishing maximum allowable defect sizes to achieve targeted weld reliability. Sensitivity studies have shown that of the various input parameter uncertainties, measured defect height often has the greatest impact on the probabilities of both fracture and plastic collapse. A reduction in sizing uncertainty should thus dramatically improve predicted reliabilities. The increasing use of mechanized ultrasonic testing (UT) in pipeline construction, driven by the demands of engineering critical assessment (ECA) -based acceptance criteria, highlights the need to quantify this uncertainty, particularly for systems incorporating pulse-echo (P/E) and time-of-flight diffraction (TOFD) methods and phased-array (PA) technology. EWI collected third-party independent data and statistically characterized the systematic and random errors in girth weld defect sizing, as measured by mechanized UT using P/E and TOFD methods, as well as PA ultrasonic technology, in support of pipeline reliability assessments.
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F, Verdugo-Paiva, Acuña María Paz, Solá Iván, and Rada Gabriel. Is remdesivir an effective intervention in people with acute COVID-19? Epistemonikos Interactive Evidence Synthesis, 2023. http://dx.doi.org/10.30846/ies.527e413d283.v1.
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Objective Provide a timely, rigorous and continuously updated summary of the evidence on the role of remdesivir in the treatment of patients with COVID-19. Methods Eligible studies were randomized trials evaluating the effect of remdesivir versus placebo or no treatment. We conducted searches in the special L·OVE (Living OVerview of Evidence) platform for COVID-19, a system that performs regular searches in databases, trial registries, preprint servers and websites relevant to COVID-19. All the searches covered the period until 25 August 2020. No date or language restrictions were applied. Two reviewers independently evaluated potentially eligible studies according to predefined selection criteria, and extracted data on study characteristics, methods, outcomes, and risk of bias, using a predesigned, standardized form. We performed meta-analyses using random-effect models and assessed overall certainty in evidence using the GRADE approach. A living, web-based version of this review will be openly available during the COVID-19 pandemic. Results Our search strategy yielded 574 references. Finally, we included three randomized trials evaluating remdesivir in addition to standard care versus standard care alone. The evidence is very uncertain about the effect of remdesivir on mortality (RR 0.7, 95% CI 0.46 to 1.05; very low certainty evidence) and the need for invasive mechanical ventilation (RR 0.69, 95% CI 0.39 to 1.24; very low certainty evidence). On the other hand, remdesivir likely results in a large increase in the incidence of adverse effects in patients with COVID-19 (RR 1.29, 95% CI 0.58 to 2.84; moderate certainty evidence). Conclusions The evidence is insufficient for the outcomes critical for making decisions on the role of remdesivir in the treatment of patients with COVID-19, so it is impossible to balance potential benefits, if there are any, with the adverse effects and costs. PROSPERO Registration number: CRD42020183384.
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F, Verdugo-Paiva, Acuña M, Solá I, and Rada G. Is remdesivir an effective intervention in people with acute COVID-19? Epistemonikos Interactive Evidence Synthesis, 2023. http://dx.doi.org/10.30846/ies.527e413d28.v2.
Full textAbstract:
Objective The aim of this living systematic review is to provide a summary of the effects of placebo or no treatment in the fullname of remdesivir. Methods Eligible studies were randomized trials evaluating the effect of remdesivir versus placebo or no treatment. We conducted searches in the special L·OVE (Living OVerview of Evidence) platform for COVID-19, a system that performs regular searches in databases, trial registries, preprint servers and websites relevant to COVID-19. All the searches covered the period until 25 August 2020. No date or language restrictions were applied. Two reviewers independently evaluated potentially eligible studies according to predefined selection criteria, and extracted data on study characteristics, methods, outcomes, and risk of bias, using a predesigned, standardized form. We performed meta-analyses using random-effect models and assessed overall certainty in evidence using the GRADE approach. A living, web-based version of this review will be openly available during the COVID-19 pandemic. Results Our search strategy yielded 574 references. Finally, we included three randomized trials evaluating remdesivir in addition to standard care versus standard care alone. The evidence is very uncertain about the effect of remdesivir on mortality (RR 0.7, 95% CI 0.46 to 1.05; very low certainty evidence) and the need for invasive mechanical ventilation (RR 0.69, 95% CI 0.39 to 1.24; very low certainty evidence). On the other hand, remdesivir likely results in a large increase in the incidence of adverse effects in patients with COVID-19 (RR 1.29, 95% CI 0.58 to 2.84; moderate certainty evidence). Conclusions The evidence is insufficient for the outcomes critical for making decisions on the role of remdesivir in the treatment of patients with COVID-19. PROSPERO Registration number: CRD42020183384.
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F, Verdugo-Paiva, Acuña M, Solá I, and Rada G. In patients with acute COVID-19, should remdesivir be used compared to placebo? (First Version). Epistemonikos Interactive Evidence Synthesis, 2023. http://dx.doi.org/10.30846/ies.81be92ee95.
Full textAbstract:
Objective The aim of this living systematic review is to provide a summary of the effects of remdesivir in the treatment of patients with acute covid-19. Methods Eligible studies were randomized trials evaluating the effect of remdesivir versus placebo or no treatment. We conducted searches in the special L·OVE (Living OVerview of Evidence) platform for COVID-19, a system that performs regular searches in databases, trial registries, preprint servers and websites relevant to COVID-19. All the searches covered the period until 25 August 2020. No date or language restrictions were applied. Two reviewers independently evaluated potentially eligible studies according to predefined selection criteria, and extracted data on study characteristics, methods, outcomes, and risk of bias, using a predesigned, standardized form. We performed meta-analyses using random-effect models and assessed overall certainty in evidence using the GRADE approach. A living, web-based version of this review will be openly available during the COVID-19 pandemic. Results Our search strategy yielded 574 references. Finally, we included three randomized trials evaluating remdesivir in addition to standard care versus standard care alone. The evidence is very uncertain about the effect of remdesivir on mortality (RR 0.7, 95% CI 0.46 to 1.05; very low certainty evidence) and the need for invasive mechanical ventilation (RR 0.69, 95% CI 0.39 to 1.24; very low certainty evidence). On the other hand, remdesivir likely results in a large increase in the incidence of adverse effects in patients with COVID-19 (RR 1.29, 95% CI 0.58 to 2.84; moderate certainty evidence). Conclusions The evidence is insufficient for the outcomes critical for making decisions on the role of remdesivir in the treatment of patients with COVID-19. PROSPERO Registration number: CRD42020183384.