Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest

In this paper, an approach to perform leak state detection and size identification for industrial fluid pipelines with an acoustic emission (AE) activity intensity index curve (AIIC), using b-value and a random forest (RF), is proposed. Initially, the b-value was calculated from pre-processed AE data, which was then utilized to construct AIICs. The AIIC presents a robust description of AE intensity, especially for detecting the leaking state, even with the complication of the multi-source problem of AE events (AEEs), in which there are other sources, rather than just leaking, contributing to the AE activity. In addition, it shows the capability to not just discriminate between normal and leaking states, but also to distinguish different leak sizes. To calculate the probability of a state change from normal condition to leakage, a changepoint detection method, using a Bayesian ensemble, was utilized. After the leak is detected, size identification is performed by feeding the AIIC to the RF. The experimental results were compared with two cutting-edge methods under different scenarios with various pressure levels and leak sizes, and the proposed method outperformed both the earlier algorithms in terms of accuracy.

Leak Localization on Cylinder Tank Bottom Using Acoustic Emission

In this study, a scheme for leak localization on a cylinder tank bottom using acoustic emission (AE) is proposed. This approach provides a means of early failure detection, thus reducing financial damage and hazards to the environment and users. The scheme starts with the hit detection process using a constant false alarm rate (CFAR) and a fixed thresholding method for a time of arrival (TOA) and an end-time determination. The detected hits are then investigated to group those originating from the same AE source together by enforcing an event definition and a similarity score. Afterwards, these newly grouped hits are processed by a time difference of arrival (TDOA) to find the locations of the events. Since the locations of the events alone do not pinpoint the leak location, a data density analysis using a Voronoi diagram is employed to find the area with the highest possibility of a leak's existence. The proposed method was validated using the Hsu-Nielsen test on a cylinder tank bottom under a one-failed-sensor scenario, which returned a highly accurate result across multiple test locations.

Opioid analgesia in necrotizing pancreatitis: Incidence and timing of a hidden crisis

BACKGROUND

Rates of opioid usage during necrotizing pancreatitis (NP) disease course are unknown. We hypothesized that a significant number of NP patients were prescribed opioid analgesics chronically.

METHODS

Single institution IRB-approved retrospective study of 230 NP patients treated between 2015 and 2019.

RESULTS

Data were available for 198/230 (86%) patients. 166/198 (84%) were discharged from their index hospitalization with a prescription for an opioid. At the first clinic visit following hospitalization, 110/182 (60%) were using opioids. Six months after disease onset, 72/163 (44%) continued to require opioids. At disease resolution, 38/144 (26%) patients remained on opioid medications. The rate of active opioid prescriptions at six months after disease onset declined throughout the period studied from 68% in 2015 to 39% in 2019.

CONCLUSIONS

Opioid prescriptions are common in NP. Despite decline over time, 1 in 4 patients remain on opioids at disease resolution. These data identify an opportunity to adjust analgesic prescription practice in NP patients.

A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures

This paper proposes a new technique for the construction of a concrete-beam health indicator based on the Kullback-Leibler divergence (KLD) and deep learning. Health indicator (HI) construction is a vital part of remaining useful lifetime (RUL) approaches for monitoring the health of concrete structures. Through the construction of a HI, the deterioration process can be processed and portrayed so that it can be forwarded to a prediction module for RUL prognosis. The degradation progression and failure can be identified by predicting the RUL based on the situation of the current specimen; as a result, maintenance can be planned to reduce safety risks, reduce financial costs, and prolong the specimen's useful lifetime. The portrayal of deterioration through HI construction from raw acoustic emission (AE) data is performed using a deep neural network (DNN), whose parameters are obtained by pretraining and fine tuning using a stack autoencoder (SAE). Kullback-Leibler divergence, which is calculated between a reference normal-conditioned signal and a current unknown signal, was used to represent the deterioration process of concrete structures, which has not been investigated for the concrete beams so far. The DNN-based constructor then learns to generate HI from raw data with KLD values as the training label. The HI construction result was evaluated with run-to-fail test data of concrete specimens with two measurements: fitness analysis of the construction result and RUL prognosis. The results confirm the reliability of KLD in portraying the deterioration process, showing a large improvement in comparison to other methods. In addition, this method requires no adept knowledge of the nature of the AE or the system fault, which is more favorable than model-based approaches where this level of expertise is compulsory. Furthermore, AE offers in-service monitoring, allowing the RUL prognosis task to be performed without disrupting the specimen's work.

An Enhanced Multi-Frequency Distorted Born Iterative Method for Ultrasound Tomography Based on Fundamental Tone and Overtones

Conventional Distorted Born Iterative Method (DBIM) using single frequency has low resolution and is prone to creating images with high-contrast subjects. We propose a productive frequency combination method to better result in tomographic ultrasound imaging based on the multi-frequency technique. This study uses the natural mechanism of emitting oscillators' frequencies and uses these frequencies for imaging in iterations. We use a fundamental tone (i.e., the starting frequency f0) for the first iteration in DBIM, then consecutively use its overtones for the next ones. The digital simulation scenarios are tested with other multi-frequency approaches to prove our method's feasibility. We performed 57 different simulation scenarios on the use of multi-frequency information for the DBIM method. As a result, the proposed method for the smallest normalization error (RRE = 0.757). The proposed method's imaging time is not significantly longer than the way of using single frequency information.

Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis

This study proposes a fault diagnosis method (FD) for multistage centrifugal pumps (MCP) using informative ratio principal component analysis (Ir-PCA). To overcome the interference and background noise in the vibration signatures (VS) of the centrifugal pump, the fault diagnosis method selects the fault-specific frequency band (FSFB) in the first step. Statistical features in time, frequency, and wavelet domains were extracted from the fault-specific frequency band. In the second step, all of the extracted features were combined into a single feature vector called a multi-domain feature pool (MDFP). The multi-domain feature pool results in a larger dimension; furthermore, not all of the features are best for representing the centrifugal pump condition and can affect the condition classification accuracy of the classifier. To obtain discriminant features with low dimensions, this paper introduces a novel informative ratio principal component analysis in the third step. The technique first assesses the feature informativeness towards the fault by calculating the informative ratio between the feature within the class scatteredness and between-class distance. To obtain a discriminant set of features with reduced dimensions, principal component analysis was applied to the features with a high informative ratio. The combination of informative ratio-based feature assessment and principal component analysis forms the novel informative ratio principal component analysis. The new set of discriminant features obtained from the novel technique are then provided to the K-nearest neighbor (K-NN) condition classifier for multistage centrifugal pump condition classification. The proposed method outperformed existing state-of-the-art methods in terms of fault classification accuracy.

Necrotizing Pancreatitis from Hypertriglyceridemia: More Severe Disease?

BACKGROUND

Necrotizing pancreatitis (NP) is caused by hypertriglyceridemia (HTG) in up to 10% of patients. Clinical experience suggests that HTG-NP is associated with increased clinical severity; objective evidence is limited and has not been specifically studied in NP.

AIM

The aim of this study was to critically evaluate outcomes in HTG-NP. We hypothesized that patients with HTG-NP had significantly increased severity, morbidity, and mortality compared to patients with NP from other etiologies.

METHODS

A case-control study of all NP patients treated at a single institution between 2005 and 2018 was performed. Diagnostic criteria of HTG-NP included a serum triglyceride level > 1000 mg/dL and the absence of another specific pancreatitis etiology. To control for differences in age, sex, and comorbidities, non-HTG and HTG patients were matched at a 4:1 ratio using propensity scores. Outcomes were compared between non-HTG and HTG patients.

RESULTS

A total of 676 NP patients were treated during the study period. The incidence of HTG-NP was 5.8% (n = 39). The mean peak triglyceride level at diagnosis was 2923 mg/dL (SEM, 417 mg/dL). After propensity matching, no differences were found between non-HTG and HTG patients in CT severity index, degree of glandular necrosis, organ failure, infected necrosis, necrosis intervention, index admission LOS, readmission, total hospital LOS, or disease duration (P = NS). Mortality was similar in non-HTG-NP (7.1%) and HTG-NP (7.7%), P = 1.0.

CONCLUSION

In this large, single-institution series, necrotizing pancreatitis caused by hypertriglyceridemia had similar disease severity, morbidity, and mortality as necrotizing pancreatitis caused by other etiologies.

A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures

In this study, a scheme of remaining useful lifetime (RUL) prognosis from raw acoustic emission (AE) data is presented to predict the concrete structure's failure before its occurrence, thus possibly prolong its service life and minimizing the risk of accidental damage. The deterioration process is portrayed by the health indicator (HI), which is automatically constructed from raw AE data with a deep neural network pretrained and fine-tuned by a stacked autoencoder deep neural network (SAE-DNN). For the deep neural network structure to perform a more accurate construction of health indicator lines, a hit removal process with a one-class support vector machine (OC-SVM), which has not been investigated in previous studies, is proposed to extract only the hits which matter the most to the portrait of deterioration. The new set of hits is then harnessed as the training labels for the deep neural network. After the completion of the health indicator line construction, health indicators are forwarded to a long short-term memory recurrent neural network (LSTM-RNN) for the training and validation of the remaining useful life prediction, as this structure is capable of capturing the long-term dependencies, even with a limited set of data. Our prediction result shows a significant improvement in comparison with a similar scheme but without the hit removal process and other methods, such as the gated recurrent unit recurrent neural network (GRU-RNN) and the simple recurrent neural network.

Quality of care in patients with diabetic kidney disease in Asia: The Joint Asia Diabetes Evaluation (JADE) Registry

AIMS

Diabetic kidney disease independently predicts cardiovascular disease and premature death. We examined the burden of chronic kidney disease (CKD, defined as an estimated GFR < 60 ml/min/1.73 m(2) ) and quality of care in a cross-sectional survey of adults (age ≥ 18 years) with Type 2 diabetes across Asia.

METHODS

The Joint Asia Diabetes Evaluation programme is a disease-management programme implemented using an electronic portal that systematically captures clinical characteristics of all patients enrolled. Between July 2007 and December 2012, data on 28 110 consecutively enrolled patients (China: 3415, Hong Kong: 15 196, India: 3714, Korea: 1651, Philippines: 3364, Vietnam: 692, Taiwan: 78) were analysed.

RESULTS

In this survey, 15.9% of patients had CKD, 25.0% had microalbuminuria and 12.5% had macroalbuminuria. Patients with CKD were less likely to achieve HbA1c < 53 mmol/mol (7.0%) (36.0% vs. 42.3%) and blood pressure < 130/80 mmHg (20.8% vs. 35.3%), and were more likely to have retinopathy (26.2% vs. 8.7%), sensory neuropathy (29.0% vs. 7.7%), cardiovascular disease (26.6% vs. 8.7%) and self-reported hypoglycaemia (18.9% vs. 8.2%). Despite high frequencies of albuminuria (74.8%) and dyslipidaemia (93.0%) among CKD patients, only 49.0% were using renin-angiotensin system inhibitors and 53.6% were on statins. On logistic regression, old age, male gender, tobacco use, long disease duration, high HbA1c , blood pressure and BMI, and low LDL cholesterol were independently associated with CKD (all P < 0.05).

CONCLUSIONS

The poor control of risk factors, suboptimal use of organ-protective drugs and high frequencies of hypoglycaemia highlight major treatment gaps in patients with diabetic kidney disease in Asia.

Blood pressure, serum cholesterol concentration and their related factors in urban and rural elderly of Ho Chi Minh City

In Vietnam, information about blood pressure, serum lipids and their factors is limited. To obtain some of this information, a cross sectional nutrition survey was carried out in an urban and rural area of Ho Chi Minh City with 217 participants aged 60-69 y (148 females and 69 males). Anthropometry and blood pressure were measured. For three consecutive weekdays, 24 h dietary recalls were performed. Single 24 h urine was collected for sodium and potassium analysis. A fasting blood sample was taken and biochemical parameters were measured. Results indicate a high percentage of hypertension in urban (female: 35.5%, male: 43.8%) and rural areas (female: 22.2%, male: 35.1%). Blood pressure was correlated with body mass index (BMI) and 24 h urinary sodium-to-potassium (Na/K) ratio. A high prevalence of serum total cholesterol (TC) above 220 mg/dL (female: 55.3%, male: 31.3%) and overweight (female: 34.2%, male: 25.0%) were observed in urban residents. By contrast, 5.6% and 24.3% of rural females and males respectively had TC below 150 mg/dL and both genders had the same prevalence of underweight (32.4%). TC was positively correlated with body weight, BMI, dietary protein and dietary lipids. Overweight might be a major risk factor for hypertension in our urban elderly. A high Na/K intake ratio might be a risk factor for hypertension in both areas. The high prevalence of elevated TC in the urban area might to be related to the high lipid intake, and the high prevalence of low TC in the rural area might to be related to the low lipid intake.

Increased urinary uronic acid excretion in experimentally-induced renal papillary necrosis in rats

We have evaluated the potential of urinary uronic acid measurement as an early indicator in the development of renal papillary necrosis (RPN). Urinary uronic acid was quantified with a range of other urinary biochemical parameters in rats given multiple doses of N-phenylanthranilic acid (NPAA) or mefenamic acid (MFA), each of which induces a dose-related papillary necrosis. In addition, histological examination was also carried out to confirm the development and presence of RPN. NPAA was administered to male wistar rats at p.o. doses of 100, 250, and 500 mg/kg and MFA at p.o. doses of 75, 150, and 300 mg/kg on days 1-4 and 8-11, and urine samples were collected for 16 hours each day. NPAA increased uronic acid excretion two-fold for both medium and high doses from day four. MFA increased uronic acid excretion to two and a half-fold by day 10 in the highest dose administered. Urinary creatinine was equally elevated in a dose-related manner following treatment with either NPAA or MFA. None of the other routine markers (urinary or serum) of nephrotoxicity showed any statistical changes. NPAA produced a dose- and time-related increase in excretion of uronic acid. Evidence of widespread papillary necrosis was seen histologically at the high doses of NPAA or MFA. The significant elevation of uronic acid in urine following treatment with either NPAA or MFA was well ahead of the development of RPN detectable by routine histology, suggesting that uronic acid measurement could serve as an early indicator of RPN. The assessment of urinary uronic acid may therefore provide a novel sensitive and selective marker of identifying the lesion earlier than is currently possible. An increase in urinary uronic acid following NPAA and MFA treatment supports the biochemical basis of these changes as a representative of acid mucopolysaccharides accumulation.

Aqueous and vitreous penetration of levofloxacin after oral administration

OBJECTIVE

To investigate the penetration of levofloxacin, an optical S-(-)isomer of ofloxacin, into the aqueous and vitreous humor after oral administration.

DESIGN

Randomized, clinical trial comparing tissue levels of levofloxacin after one or two doses 12 hours apart.

PARTICIPANTS

Forty-five patients undergoing initial vitrectomy between February 1997 and June 1997 at the UIC Eye Center.

METHODS

Aqueous, vitreous, and serum samples were obtained and later analyzed from 45 patients after oral administration of 1 500-mg tablet (group 1, 22 patients) or 2 500-mg tablets (group 2, 23 patients) 12 hours apart before surgery.

MAIN OUTCOME MEASURES

Aqueous, vitreous, and serum concentrations of levofloxacin (micrograms/milliliter).

RESULTS

Group 1 achieved mean aqueous, vitreous, and serum levels of 0.59 +/- 0.48 microg/ml, 0.32 +/- 0.34 microg/ml, and 4.34 +/- 3.59 microg/ml, respectively. Group 2 achieved mean aqueous, vitreous, and serum levels of 1.90 +/- 0.97 microg/ml, 2.39 +/- 0.70 microg/ml, and 8.02 +/- 3.14 microg/ml.

CONCLUSIONS

Mean inhibitory aqueous and vitreous MIC90 levels were achieved against a majority of ocular pathogens, including Staphylococcus aureus and Staphylococcus epidermidis, Streptococcus pneumoniae (vitreous), Bacillus cereus (vitreous), Haemophilus influenzae, Moraxella catarrhalis, and most gram-negative aerobic organisms except Pseudomonas aeruginosa after two doses given 12 hours apart. Mean MIC90 levels were obtained in the vitreous for a majority of pathogens responsible for traumatic, postoperative, or bleb-related endophthalmitis.

Mouse male sterility and histoincompatibility (mshi) maps between the D10Mit51/168/212 cluster and D10Mit213

The recessive male sterility and histoincompatibility (mshi) mutation in the mouse generates pleiotropic effects on graft transplantation and male reproduction. Previous analysis of backcross mice typed for mshi either by testicular morphology or by allograft rejection has located each trait to a 20-cM region on proximal mouse Chr 10. Here we present the microsatellite polymorphism analysis of a new 276-member intraspecific backcross panel--including a set of 135 males typed for sterility and histoincompatibility--that places both features controlled by mshi within a 1.7-cM interval between markers D10Mit51/168/212 and D10Mit213. In addition, this analysis has allowed an explicit test of a two-gene model for the mshi locus and has provided a measurement of the penetrance of the mshi-generated histogenic phenotype in both male (88.4 +/- 3.9%) and female (91.0 +/- 3.5%) mutants. The fine-structure map presented should facilitate a chromosome walk across this region and, ultimately, the molecular identification of the gene or genes affected by this interesting mutation.

Renal papillary necrosis--40 years on

Analgesics and nonsteroidal anti-inflammatory drugs (NSAIDs) are well recognized as a major class of therapeutic agent that causes renal papillary necrosis (RPN). Over the last decade a broad spectrum of other therapeutic agents and many chemicals have also been reported that have the potential to cause this lesion in animals and man. There is consensus that RPN is the primary lesion that can progress to cortical degeneration; and it is only at this stage that the lesion is easily diagnosed. In the absence of sensitive and selective noninvasive biomarkers of RPN there is still no clear indication of which compound, under what circumstances, has the greatest potential to cause this lesion in man. Attempts to mimic RPN in rodents using analgesics and NSAIDs have not provided robust models of the lesion. Thus, much of the research has concentrated on those compounds that cause an acute or subacute RPN as the basis by which to study the pathogenesis of the lesion. Based on the mechanistic understanding gleaned from these model compounds it has been possible to transpose an understanding of the underlying processes to the analgesics and NSAIDs. The mechanism of RPN is still controversial. There are data that support microvascular changes and local ischemic injury as the underlying cause. Alternatively, several model papillotoxins, some analgesics, and NSAIDs target selectively for the medullary interstitial cells, which is the earliest reported aberration, after which there are a series of degenerative processes affecting other renal cell types. Many papillotoxins have the potential to undergo prostaglandin hydroperoxidase-mediated metabolic activation, specifically in the renal medullary interstitial cells. These reactive intermediates, in the presence of large quantities of polyunsaturated lipid droplets, result in localized and selective injury of the medullary interstitial cells. These highly differentiated cells do not repair, and it is generally accepted that continuing insult to these cells will result in their progressive erosion. The loss of these cells is thought to be central to the degenerative cascade that affects the cortex. There is still a need to understand better the primary mechanism and the secondary consequences of RPN so that the risk of chemical agents in use and novel molecules can be fully assessed.

The effects of early chest tube placement on empyema resolution

STUDY OBJECTIVES

The objective of this study was to determine the impact of the timing of chest tube insertion on outcome for the treatment of empyema, using a new animal model of empyema.

DESIGN

A prospective, controlled randomized, blinded design was used.

SETTING

The study was conducted in an animal research laboratory.

PATIENTS OR PARTICIPANTS

Sixty-six 2- to 3-kg rabbits were used in this study.

INTERVENTIONS

After induction of empyema, the rabbits were divided into four groups. Fourteen rabbits had chest tubes placed at 24 h after empyema induction. Seventeen rabbits had chest tubes placed at 48 h and 14 rabbits had chest tubes placed at 72 h after empyema induction. Twenty-one rabbits served as control rabbits and had no chest tubes placed.

MEASUREMENTS AND RESULTS

Ten days after induction of empyema, the rabbits were killed. The pleural spaces of each rabbit were examined and a gross score, pleural peel score, and a microscopic score were calculated for each rabbit. The median gross score, mean pleural peel score, and median microscopic scores were significantly higher in the rabbits that underwent late chest tube placement (72 h) relative to those that underwent early chest tube placement (24 or 48 h).

CONCLUSIONS

This study supports previous expert opinion statements and conclusions from retrospective analyses that early chest tube placement (relative to delayed chest tube placement) is beneficial for the treatment of empyema.

Arterial blood gas changes during breath-holding from functional residual capacity

Breath-holding serves as a model for studying gas exchange during clinical situations in which cessation of ventilation occurs. We chose to examine the arterial blood gas changes that occurred during breath-holding, when breath-holding was initiated from functional residual capacity (FRC) while breathing room air. Eight normal subjects who had a radial artery catheter placed for another study were taught to breath-hold on command from FRC. FRC was determined using respiratory inductance plethysmography. Arterial blood gas specimens were obtained at 5-s intervals until the termination of breath-holding. The average breath-holding time (+/-SD) was 35 (+/-10 s). The PaO2, PaCO2, and pH values were plotted against time and individually fit to logistic equations for each subject. The arterial PaO2 fell by a mean of 50 mm Hg during the first 35 s of breath-holding under these conditions, while the arterial PCO2 rose by a mean of 10.2 mm Hg during the first 35 s and the pH fell by a mean of 0.07 in the first 35 s. The rapid decline in PaO2 is greater than that previously reported using different methods and should be considered in clinical situations in which there is an interruption of oxygenation and ventilation at FRC while breathing room air. The changes in PaCO2 and pH are similar to those previously reported in paralyzed apneic patients.

Citric acid production by Aspergillus niger using media containing low concentrations of glucose or corn starch

By using an appropriate ratio of carbon source to mineral components, we obtained comparable citrate yields in media containing different concentrations of glucose. The enzyme system of inoculum passed on gradually from "growth" state to "production" state during the mould growth. In the starch medium, the critical factors of citric acid production are the aeration efficiency of the medium and the amylase formation of the strain. The air interruption exhibited a prolonged inhibition of the production rate but not of the citrate yield in glucose medium while those parameters in starch medium containing excessive urea were briefly but severely inhibited. After being affected by these unfavorable conditions, the production activity of Aspergillus niger could be restored by applying an appropriate fermentation process.