An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures.

To prevent potential instability the early detection of cracks is imperative due to the prevalent use of concrete in critical infrastructure. Automated techniques leveraging artificial intelligence, machine learning, and deep learning as the traditional manual inspection methods are time-consuming. The existing automated concrete crack detection algorithms, despite recent advancements, face challenges in robustness, particularly in precise crack detection amidst complex backgrounds and visual distractions, while also maintaining low inference times. Therefore, this paper introduces a novel ensemble mechanism based on multiple quantized You Only Look Once version 8 (YOLOv8) models for the detection and segmentation of cracks in concrete structures. The proposed model is tested on different concrete crack datasets yielding enhanced segmentation results with at least 89.62% precision and intersection over a union score of 0.88. Moreover, the inference time per image is reduced to 27 milliseconds which is at least a 5% improvement over other models in the comparison. This is achieved by amalgamating the predictions of the trained models to calculate the final segmentation mask. The noteworthy contributions of this work encompass the creation of a model with low inference time, an ensemble mechanism for robust crack segmentation, and the enhancement of the learning capabilities of crack detection models. The fast inference time of the model renders it appropriate for real-time applications, effectively tackling challenges in infrastructure maintenance and safety.

Markers for meat provenance and authenticity with an account of its defining factors and quality characteristics - a review.

Provenance is becoming increasingly important in meat supply chains as it lends products higher perceived quality. However, its precise definition and interpretation along with its associated characteristics factors have remained somewhat elusive. This review meticulously defines meat provenance while dissecting the essential factors and associated quality attributes that constitute its essence and are subsequently employed to establish pertinent markers for provenance. Meat provenance emerges as a multi-dimensional construct stemming from the adept management of a constellation of factors relating to geographical origin, farm production system, traceability, and authenticity. Through intricate interactions, these factors unveil innate originality that not only forges a distinct reputation but also imparts a unique typicity to the meat product. Gaining insights into a meat product's provenance becomes attainable by scrutinizing its pertinent composition and organoleptic quality traits. Trace elements and stable isotopes stand out as provenance markers, forging a direct connection to both geographical origin and dietary sources. While somewhat less direct in linkage, other markers such as plant biomarkers, fatty acid composition, pH levels, flavour and aromatic compounds along with organoleptic characteristics contribute to the overall understanding of provenance. Additionally, the identification of animal species and breeds serves as key markers, particularly in the context of protected geographical indications. The study findings are useful for the various stakeholders of how the information for meat provenance can be linked with intrinsic and extrinsic factors for meat quality and protecting the integrity of the supply chain with special reference to traceability and authenticity. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Perceptions and experience of rural older people in oral health management in China: a qualitative study.

BACKGROUND: To explore the perceptions and experience of oral health management among rural older people in China. METHODS: Qualitative methodologies were used in this study. Face-to-face semi-structured interviews were conducted. Thirteen older adults in rural areas were purposively sampled at two metropolitan hospitals in Hunan, China. The data were transcribed and thematically analyzed, and MAXQDA software was used to assist with coding. RESULTS: Three overarching major themes and ten sub­themes capturing the perceptions and experience of oral health management among rural older people were identified. Three themes emerged from the thematic analysis: oral health cognitive bias, poor management behaviors, and limited oral health services. Oral health management as a whole is negative, oral health behaviors are poor, oral health service utilization is limited. CONCLUSIONS: Based on these findings, there is great scope here for improving the current status of oral health for rural older people around awareness, behavior, and access. Oral health education, improved oral health services and primary oral health promotion are warranted.

Cancer incidence in Khyber Pakhtunkhwa, Pakistan, 2020.

BACKGROUND: To present the population-based cancer statistics for Khyber Pakhtunkhwa (KP), Pakistan, an incidence study was conducted at the Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC) in Lahore, Pakistan, in 2023. METHODS: Records from various centres on new cancers diagnosed among residents of KP between January and December 2020 were gathered. Both active and passive methods of data collection were applied, and the information was saved in a central repository at SKMCH&RC. The incidence rates were computed by age group and sex and presented per 100,000 population. RESULTS: Among children (0-14 years), the Age-Standardised Incidence Rate (ASIR) was 4.0 in girls and 6.1 in boys, and haematologic malignancies were more prevalent; in adolescents (15-19 years), the ASIR was 7.7 in females, 9.4 in males, and bone tumours, haematologic malignancies, and neurological cancers were prominent; in adult females (> / = 20 years), the ASIR was 84.9, and cancers of the breast, digestive system, and reproductive organs were predominant; and adult males, the ASIR was 73.0, and cancers of the gastrointestinal tract, lip/oral cavity/pharynx, prostate, and Non-Hodgkin Lymphoma (NHL) were common. CONCLUSIONS: It is crucial to investigate the aetiology of these diseases at the community level because dietary elements, infectious diseases, and tobacco use all appear to be significant contributors. Prospective studies could play a key role in highlighting the factors linked to these diseases. Therefore, cancer registration must continue in conjunction with the exploration of risk factors.

Converging alfalfa (Medicago sativa L.) and petroleum hydrocarbon acclimated ACC-deaminase containing bacteria for phytoremediation of petroleum hydrocarbon contaminated soil.

Plant assisted bioremediation of petroleum hydrocarbon contaminated soil is considered an effective green technology whereby accelerated degradation occurs due to converged effect of microorganisms and plants. However, survival and growth of microbes and plants under stress conditions is challenging task for success of the technology. In this study, plant growth promoting bacteria containing 1-aminocyclopropane-1-carboxylate (ACC)-deaminase activity and tolerance to petroleum hydrocarbon contamination were used in association with alfalfa for bioremediation of petroleum hydrocarbon contaminated soil. Eight pre-isolated bacterial isolates from soil having previous history of petroleum contamination were used in convergence with alfalfa on sand soil which was artificially contaminated (10 g crude oil per kg-1 of coarse textured soil). Combined effect of bacteria and plants on the degradation of petroleum hydrocarbons under controlled conditions of light and temperature was observed for a period of 60 days. The results of the study revealed that four bacterial isolates Bacillus subtilis strain PM32Y, Bacillus cereus strain WZ3S1, Bacillus sp. strain SM73 and Bacillus sp. strain WZ3S3 in association with alfalfa significantly degraded petroleum hydrocarbons. The most significant biodegradation (47%) of petroleum hydrocarbons was recorded in the experimental unit receiving PM32Y inoculation in association with alfalfa. Biodegradation of petroleum hydrocarbons was 33% with alone inoculation (without alfalfa) of PM32Y. The study revealed that combined use of bacteria and alfalfa plant is more efficient than alone application of either bacteria or plants for degradation of petroleum hydrocarbons.

This study provides the evidence for phytoremediation and significant degradation of petroleum hydrocarbons by using plant growth promoting bacteria (PGPB), containing 1-aminocyclopropane-1-carboxylate deaminase (ACC-deaminase) in association with alfalfa (Medicago sativa L.). The most significant biodegradation of petroleum hydrocarbons was recorded with a new combination of Bacillus subtilis strain PM32Y in association with alfalfa.

Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition.

This paper introduces a novel approach for detecting inter-turn short-circuit faults in rotor windings using wavelet transformation and empirical mode decomposition. A MATLAB/Simulink model is developed based on electrical parameters to simulate the inter-turn short circuit by adding a resistor parallel to phase "a" of the rotor. The resulting high current in the new phase indicates the presence of the short circuit. By measuring the rotor and stator three-phase currents, the fault can be detected as the currents exhibit asymmetric behavior. Fluctuations in the electromagnetic torque also occur during the fault. The wavelet transform is applied to the rotor current, revealing an effective analysis of sideband frequency components. Specifically, changes in amplitude and frequency, particularly in d7 and a7, indicate the presence of harmonics generated by the inter-turn short circuit. The simulation results demonstrate the effectiveness of wavelet transformation in analyzing these frequency components. Additionally, this study explores the use of empirical mode decomposition to detect faults in their early stages, observing substantial changes in the instantaneous amplitudes of the first three intrinsic mode functions during fault onset. The proposed technique is straightforward and reliable, making it suitable for application in wind turbines with simple electrical inputs.

Management Of Endotracheal Tube Air Leak-A Simple Yet An Effective Manoeuver.

The management and maintenance of an airway can prevent life threatening complications. The handling of airway, especially in difficult airway and trauma patients, requires extreme caution. We have demonstrated a simple technique in the management of emergency airway, who was getting hypoxic due to severed endotracheal tube (ETT) cuff inflation line. A 20 G intravenous cannula was used, the leak was stopped, and the ETT balloon was inflated. Hence, the leakage and eventually hypoxia settled. We were able to manage emergency airway with this peculiar technique. The use of 20 G intravenous cannula can help to inflate a damaged ETT cuff inflation line. This is an inexpensive and effective manoeuver.

Head and neck cancer recurrence with limited mouth opening, radiation fibrosis and confirmed COVID-19 infection: Approach to airway management.

We present a case that describes the airway management of a patient with recurrent head and neck cancer and confirmed COVID-19 infection. Securing airway of these patients with anticipated difficulty and at the same time limiting virus exposure to providers can be challenging. The risk of aerosolization during awake tracheal intubation is extreme as it carries a high risk of transmitting respiratory infections. A multidisciplinary team discussion before the procedure highlighted aspects of both airway management and the urgency of surgical procedure where particular care and modifications are required. Successful flexible bronchoscopy and intubation was done under inhalational anaesthetics with spontaneous breathing. Although fiberoptic intubation during sleep,in anticipated difficult airways, have led to enhanced intubation time, this technique was opted to minimize the risk of aerosol generation associated with topicalisation, coughing and hence reduced incidence of cross infection to health care workers.

Perioperative Hypertensive Response In A Patient With Implanted Deep Brain Stimulation Device: A Case Report.

This case report features unique anaesthetic management of a patient with implanted deep brain stimulation (DBS) device undergoing abdominal surgery. It features the intraoperative measures taken for this patient for the implanted DBS. After turning off the DBS preoperatively, the patient showed an exaggerated sympathetic response which was very much resistant to medicines. It was unique to this patient that restarting the device alleviated refractory hypertension. The report also includes review of literature for anaesthetic management of patients with implanted DBS.

Frequency of extra pulmonary complications in critically ill COVID-19 patients and their association with inflammatory markers and hypoxia: Retrospective analysis at a tertiary care hospital in Karachi, Pakistan.

Background and Objective: This study aimed to determine the incidence of extra pulmonary complications among critically ill COVID-19 patients requiring invasive mechanical ventilation and association of these complications with various inflammatory markers and degree of hypoxia. Methods: A retrospective cohort study was conducted among 173 adults in Karachi having COVID-19 and were admitted to ICU in a tertiary care private hospital between August 2020 to July 2021. Results: The median age of patients included in the analysis was 61 years (IQR; 16). Acute kidney injury, septic shock, cardiac injury, and electrolytes imbalance were the most frequent extra pulmonary complications with proportion of 65.3% (n=113), 63.6% (n=110), 61.8% (n=107) and 33.5% (n=58). Statistically significant differences in the median serum levels of ferritin were observed among male versus female, critically ill covid patients with and without ICU mortality as well as patients with and without hospital mortality (p-value <0.05). Significantly higher serum levels of d-dimer were noted among patients who developed acute liver injury or NSTEMI, or had ICU stay of > 3 days or received mechanical ventilation for >2 days. Conclusion: Acute kidney injury, septic shock, cardiac injury, and electrolytes imbalance were the most common extra pulmonary complications among mechanically ventilated COVID-19 patients with ARDS. Higher serum d-dimer levels were associated with acute liver injury, NSTEMI, ICU stay longer >3 days and invasive mechanical ventilation >2 days. Higher serum ferritin levels are associated with male sex and serve as an important predictor of ICU as well as hospital mortality.

Disparities in adult critical care resources across Pakistan: findings from a national survey and assessment using a novel scoring system.

BACKGROUND: In response to the COVID-19 pandemic, concerted efforts were made by provincial and federal governments to invest in critical care infrastructure and medical equipment to bridge the gap of resource-limitation in intensive care units (ICUs) across Pakistan. An initial step in creating a plan toward strengthening Pakistan's baseline critical care capacity was to carry out a needs-assessment within the country to assess gaps and devise strategies for improving the quality of critical care facilities. METHODS: To assess the baseline critical care capacity of Pakistan, we conducted a series of cross-sectional surveys of hospitals providing COVID-19 care across the country. These hospitals were pre-identified by the Health Services Academy (HSA), Pakistan. Surveys were administered via telephonic and on-site interviews and based on a unique checklist for assessing critical care units which was created from the Partners in Health 4S Framework, which is: Space, Staff, Stuff, and Systems. These components were scored, weighted equally, and then ranked into quartiles. RESULTS: A total of 106 hospitals were surveyed, with the majority being in the public sector (71.7%) and in the metropolitan setting (56.6%). We found infrastructure, staffing, and systems lacking as only 19.8% of hospitals had negative pressure rooms and 44.4% had quarantine facilities for staff. Merely 36.8% of hospitals employed accredited intensivists and 54.8% of hospitals maintained an ideal nurse-to-patient ratio. 31.1% of hospitals did not have a staffing model, while 37.7% of hospitals did not have surge policies. On Chi-square analysis, statistically significant differences (p < 0.05) were noted between public and private sectors along with metropolitan versus rural settings in various elements. Almost all ranks showed significant disparity between public-private and metropolitan-rural settings, with private and metropolitan hospitals having a greater proportion in the 1st rank, while public and rural hospitals had a greater proportion in the lower ranks. CONCLUSION: Pakistan has an underdeveloped critical care network with significant inequity between public-private and metropolitan-rural strata. We hope for future resource allocation and capacity development projects for critical care in order to reduce these disparities.

Structure-based in silico design and in vitro acaricidal activity assessment of Acacia nilotica and Psidium guajava extracts against Sarcoptes scabiei var. cuniculi.

Infestation by Sarcoptes scabiei var. cuniculi mite causes scabies in humans and mange in animals. Alternative methods for developing environmentally friendly and effective plant-based acaricides are now a priority. The purpose of this research was the in silico design and in vitro evaluation of the efficacy of ethanol extracts of Acacia nilotica and Psidium guajava plant leaves against S. scabiei. Chem-Draw ultra-software (v. 12.0.2.1076.2010) was used to draw 36 distinct compounds from these plants that were employed as ligands in docking tests against S. scabiei Aspartic protease (SsAP). With docking scores of - 6.50993 and - 6.16359, respectively, clionasterol (PubChem CID 457801) and mangiferin (PubChem CID 5281647) from A. nilotica inhibited the targeted protein SsAP, while only beta-sitosterol (PubChem CID 222284) from P. guajava interacted with the SsAP active site with a docking score of - 6.20532. Mortality in contact bioassay at concentrations of 0.25, 0.5, 1.0, and 2.0 g/ml was determined to calculate median lethal time (LT50) and median lethal concentration (LC50) values. Acacia nilotica extract had an LC50 value of 0.218 g/ml compared to P. guajava extract, which had an LC50 value of 0.829 g/ml at 6 h. These results suggest that A. nilotica extract is more effective in killing mites, and these plants may have novel acaricidal properties against S. scabiei. Further research should focus on A. nilotica as a potential substitute for clinically available acaricides against resistant mites.

Assessment of the oral health literacy and oral health behaviors among nurses in China: a cross-sectional study.

PURPOSE: Oral health is important for general health; nurses are expected to possess good oral health awareness and work together for public oral health promotion. The purpose of this study is to investigate oral health literacy (OHL)and oral health behaviors of nurses, and explore the association between oral health literacy with demographic variables and oral health behaviors. METHODS: A cross-sectional study in a tertiary hospital was conducted using a short-form Health Literacy in Dentistry-14 (HeLD-14) and a 16-items oral health behaviors questionnaire. Information about the subjects' demographic details including age, gender, place of residence, marital status, marital status, education level, monthly household income, working experience, etc. were collected. Independent sample t- test, One- way ANOVA, and multivariable regression were used to identify the association of oral health literacy with demographic variables and oral health behaviors. RESULTS: A total number of 317 nursing nurses participated in the survey, with a mean OHL score of 36.72, SD10.531, 21.8% were categorized as good, 34.1% medium and 44.2% poor oral health literacy; monthly household income, self-rated oral health, brushing time, use of fluoride toothpaste, and regular oral examination were signficantly associated with OHL scores. CONCLUSION: The overall oral health literacy of the nurse population is at a moderate to low level. These findings may help to map and design an oral health education intervention to improve oral health literacy amongst nurses, especially nurses with low monthly household income and poor self-assessed oral health status. Nursing administrators and nursing educators should pay more attention to the oral health status of the nurse population.

Enhancing satisfaction and respect for health care personnel: a mixed-methods case study of a community-based intervention.

Health care personnel (HCP) face violence as a result of lack of satisfaction and respect among community members. It is imperative for HCP to engage in social work by involving communities for enhancing satisfaction and respect for them. This study attempted to provide insight on this phenomenon by using a mixed-methods concurrent embedded approach. Communities were selected based on modified Solomon four-group design from Karachi in southern province and from three cities of northern province, Khyber Pakhtunkhwa of Pakistan. Focus group discussions and in-depth interviews took place for formulating the quantitative tool. Six hundred pretests were done prior to introducing low-cost community-based interventions followed by 601 posttests. We found increased levels of satisfaction in both provinces, whereas level of respect increased significantly in Karachi in the southern province only. Qualitative interviews revealed the important role played by media and religious leaders. These findings suggest that satisfaction and respect for HCP can be enhanced through community support, involvement of religious leaders, and effective media campaigns.

An Explainable AI-Based Fault Diagnosis Model for Bearings.

In this paper, an explainable AI-based fault diagnosis model for bearings is proposed with five stages, i.e., (1) a data preprocessing method based on the Stockwell Transformation Coefficient (STC) is proposed to analyze the vibration signals for variable speed and load conditions, (2) a statistical feature extraction method is introduced to capture the significance from the invariant pattern of the analyzed data by STC, (3) an explainable feature selection process is proposed by introducing a wrapper-based feature selector-Boruta, (4) a feature filtration method is considered on the top of the feature selector to avoid the multicollinearity problem, and finally, (5) an additive Shapley explanation followed by k-NN is proposed to diagnose and to explain the individual decision of the k-NN classifier for debugging the performance of the diagnosis model. Thus, the idea of explainability is introduced for the first time in the field of bearing fault diagnosis in two steps: (a) incorporating explainability to the feature selection process, and (b) interpretation of the classifier performance with respect to the selected features. The effectiveness of the proposed model is demonstrated on two different datasets obtained from separate bearing testbeds. Lastly, an assessment of several state-of-the-art fault diagnosis algorithms in rotating machinery is included.

Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins.

Hepatitis C is affecting millions of people around the globe annually, which leads to death in very high numbers. After many years of research, hepatitis C virus (HCV) remains a serious threat to the human population and needs proper management. The in silico approach in the drug discovery process is an efficient method in identifying inhibitors for various diseases. In our study, the interaction between Epigallocatechin-3-gallate, a component of green tea, and envelope glycoprotein E2 of HCV is evaluated. Epigallocatechin-3-gallate is the most promising polyphenol approved through cell culture analysis that can inhibit the entry of HCV. Therefore, various in silico techniques have been employed to find out other potential inhibitors that can behave as EGCG. Thus, the homology modelling of E2 protein was performed. The potential lead molecules were predicted using ligand-based as well as structure-based virtual screening methods. The compounds obtained were then screened through PyRx. The drugs obtained were ranked based on their binding affinities. Furthermore, the docking of the topmost drugs was performed by AutoDock Vina, while its 2D interactions were plotted in LigPlot+. The lead compound mms02387687 (2-[[5-[(4-ethylphenoxy) methyl]-4-prop-2-enyl-1,2,4-triazol-3-yl] sulfanyl]-N-[3(trifluoromethyl) phenyl] acetamide) was ranked on top, and we believe it can serve as a drug against HCV in the future, owing to experimental validation.

Development, characterization and optimization of methotrexate-olive oil nano-emulsion for topical application.

The chronic inflammatory conditions like psoriasis has an increased prevalence and is linked with various associated life threatening disease conditions. The main objective of this project was to developed a methotrexate-olive loaded nano emulsion. The formulation was assessed for various parameters including Thermodynamic Stability, physico-chemically characterization, drug release kinetics and entrapment efficiency and in vitro/ in vivo skin permeation analysis. Final optimized formulation had a particle size 18.27±5.78 nm with a PDI of 0.25±0.01, whereas the average entrapment efficiency of formulation was 74.68±2.1%. The release kinetics suggested 97.72% drug release at pH 5 after 20 hrs. The FTIR data confirmed that the chemical structure of drug is retained with efficient loading into the formulation. Permeation data showed that an average of 79.23±3.6µg/cm2 of methotrexate was permeated from the nano emulsion with an average flux of 2.326±0.45µg/cm2/h after 24 hrs. Finally in vivo studies on rabbit skin confirmed that the structural changes of intercellular lipid layers in the stratum corneum are not responsible for enhanced skin permeation of methotrexate loaded nano emulsion. It was concluded that olive oil based MTX-NE is suitable for topical application and can be used for management of psoriasis.

Correction to: Sublethal effects of a juvenile hormone analog, Pyriproxyfen demographic parameters of non-target predator, Hippodamia convergens Guerin-Meneville (Coleoptera: Coccinellidae).

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Sublethal effects of a juvenile hormone analog, Pyriproxyfen on demographic parameters of non-target predator, Hippodamia convergens Guerin-Meneville (Coleoptera: Coccinellidae).

Insect predators, in general, play an important role in regulating pest populations in agricultural systems, but may be negatively affected by pesticides used in pest management. Convergent lady beetle, Hippodamia convergens Guerin-Meneville (Coleoptera: Coccinellidae) is known as an important biological control agent of soft-bodied insect pests. The development of Integrated Pest Management (IPM) program against insect pests requires an assessment of the side effect of insecticides on biological control agents. In the present work, we assessed the sublethal effects of an insect growth regulator, Pyriproxyfen (juvenile hormone mimic) on a common aphidophagous beetle, H. convergens by computing its demographic parameters through age-stage, two-sex life table theory. Present results showed that sublethal (LC10 and LC30) concentrations of tested insecticide prolonged the pre-adult developmental duration while adult longevity, fecundity and fertility were reduced following treatment compared with control. However, total pre-ovipositional period (TPOP) was declined with the increasing trend of insecticide concentration. In additions, population growth parameters such as intrinsic rate of increase r, finite rate of increase λ and net reproductive rate R0 were dramatically reduced in H. convergens population when they treated with sublethal concentrations pyriproxyfen. Therefore, the results obtained through this study reflected that pyriproxyfen impairs the population growth parameters and could reduce the biological services provided by H. convergens. Thus, more attention should be paid to the use of this insecticide in IPM program.

A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions.

Rolling element bearings are a vital part of rotating machines and their sudden failure can result in huge economic losses as well as physical causalities. Popular bearing fault diagnosis techniques include statistical feature analysis of time, frequency, or time-frequency domain data. These engineered features are susceptible to variations under inconsistent machine operation due to the non-stationary, non-linear, and complex nature of the recorded vibration signals. To address these issues, numerous deep learning-based frameworks have been proposed in the literature. However, the logical reasoning behind crack severities and the longer training times needed to identify multiple health characteristics at the same time still pose challenges. Therefore, in this work, a diagnosis framework is proposed that uses higher-order spectral analysis and multitask learning (MTL), while also incorporating transfer learning (TL). The idea is to first preprocess the vibration signals recorded from a bearing to look for distinct patterns for a given fault type under inconsistent working conditions, e.g., variable motor speeds and loads, multiple crack severities, compound faults, and ample noise. Later, these bispectra are provided as an input to the proposed MTL-based convolutional neural network (CNN) to identify the speed and the health conditions, simultaneously. Finally, the TL-based approach is adopted to identify bearing faults in the presence of multiple crack severities. The proposed diagnostic framework is evaluated on several datasets and the experimental results are compared with several state-of-the-art diagnostic techniques to validate the superiority of the proposed model under inconsistent working conditions.