Preventive Measures Research Articles

Hemorrhagic Strokes Attributable to Chronic Alcohol Consumption and Heavy Episodic Drinking in France.

To estimate the number of cases and deaths related to hemorrhagic stroke (HS) attributable to a chronic alcohol consumption and to heavy episodic drinking (HED) in France. A population-attributable fraction (PAF) estimation approach was used. Relative risks for HS with alcohol consumption were extracted from the INTERSTROKE study. Levels of alcohol consumption in the French population were collected from the 2017 Health Barometer. Data on HS morbidity and mortality were extracted from the French National Health Data System (SNDS). We estimated that 7.2% (n = 2,100) and 6.6% (n = 1,900) of cases with HS were attributable to chronic alcohol consumption and HED, respectively. PAFs were higher in men than in women with 11.5% vs 2.6% for a chronic consumption and 10.7% vs 2.1% for HED, respectively. We estimated that 7.0% of HS deaths (n = 1,100) were attributable to chronic alcohol consumption and 5.1% attributable to HED (n = 800). Finally, 16.3% of patients with HS (n = 4,700) and 14.1% of HS deaths (n = 2,300) were attributable to overall chronic alcohol consumption or to monthly HED. These results remind the importance of alcohol consumption in the occurrence of HS and the importance of implementing primary and secondary prevention measures, particularly among young people, where HED is most common.

Potential errors during final inspection and certification process of an aircraft component

Purpose According to regulations, aircraft must be in an airworthy condition before they can be operated. To ensure airworthiness, they must be maintained by an approved component maintenance organisation. This study is aimed to identify potential errors that may arise during the final inspection and certification process of aircraft components, categorise them, determine their consequences and quantify the associated risks. Any removed aircraft components must be sent to an approved aircraft component maintenance organisation for further maintenance and issuance of European Union Aviation Safety Agency (EASA) Form 1. Thereafter, a final inspection and certification process must be conducted by certifying staff to receive an EASA Form 1. This process is crucial because any errors during this stage can result in the installation of unsafe components in an aircraft. Design/methodology/approach The Systematic Human Error Reduction and Prediction Approach (SHERPA) method was used to identify potential errors. This method involved a review of the procedures of three maintenance organisations, individual interviews with ten subject matter experts and a consensus group of 14 certifying staff from different maintenance organisations to achieve the desired results. Findings In this study, 39 potential errors were identified during the final inspection and certification process. Furthermore, analysis revealed that 48.7% of these issues were attributed to checking errors, making it the most common type of error observed. Originality/value This study pinpoints the potential errors in the final inspection and certification of aircraft components. It offers maintenance organisations a roadmap to assess procedures, implement preventive measures and reduce the likelihood of these errors.

The relationship between sidewalk access and weight-related outcomes: a systematic review

Purpose To effectively combat the increasing rates of obesity, it is crucial to explore how environmental factors like sidewalk access impact weight-related outcomes. This study aimed to systematically examine the association between sidewalk accessibility and weight-related outcomes. Design/methodology/approach Databases were searched by keywords for relevant articles, which were published before March 3, 2024, to report the role of neighborhood sidewalk access on weight-related outcomes. The main findings of the selected articles were extracted from eligible studies by two independent reviewers. Findings A total of 20 out of 33 studies indicated a significant negative relationship between access to sidewalks and weight-related outcomes. Three studies demonstrated an indirect relationship between access to sidewalks and weight-related outcomes by greater access to physical environments. In addition, five studies reported no clear relationship, and three studies reported a significantly positive relationship between access to sidewalks and weight-related outcomes. Practical implications In general, people who live in urban areas with better sidewalk access benefit from better weight-related outcomes. Adults showed this correlation more prominently than adolescents and children. Therefore, sidewalks that have a positive effect on physical activity levels could be considered as a preventive measure against obesity. Originality/value One of the weight-related outcomes is obesity. Every community faces numerous challenges due to obesity, which adversely affects the quality of life and health. Environmental factors such as access to sidewalks could be associated with body weight due to lifestyle influences.

JN.1 variant in enduring COVID-19 pandemic: is it a variety of interest (VoI) or variety of concern (VoC)?

The emergence of the SARS-CoV-2 Omicron variant, classified as a Variant of Concern (VoC) in November 2021, marked a significant shift in the COVID-19 landscape. This study investigates the subsequent development of a novel Omicron sublineage, JN.1, which displays distinctive mutations in the spike protein. The study delves into the phylogenetic differences between these variants and their potential implications. A comprehensive analysis of the genomic profiles and mutation patterns of JN.1 and BA.2.86 was conducted, utilizing SARS-CoV-2 database. The study explores the unique mutations, such as S:L455S in JN.1, associated with increased transmissibility and immune escape. Furthermore, a comparison with prevalent strains like XBB.1.5 and HV.1 highlights the substantial genetic divergence of JN.1. JN.1, first detected in August 2023, exhibits a notable spike protein mutation profile, including the reappearance of earlier variants' mutations (E484K and P681R). The variant's increased transmissibility and immune evasion potential are attributed to specific spike protein mutations like R21T, S50L, V127F, R158G, and others. The study also explores the distribution and prevalence of JN.1 globally, with a focus on the rising cases in India. JN.1 poses aunique challenge as one of the most immune-evading variants, with potential implications for COVID-19 transmission. The study emphasizes the importance of monitoring and understanding emerging variants, especially those with distinct spike protein mutations. The observed cases in India highlight the need for vigilance and prompt public health responses. As JN.1 continues to evolve, ongoing surveillance, vaccination strategies, and adherence to preventive measures are crucial to mitigating its potential impact on global public health.

A Comprehensive Review of Advancement in Speech-Based Approach for Alzheimer Disease Detection in India

Alzheimer’s Disease (AD), accounting for 60%-70% of dementia cases, is poised to afflict India as the second-largest country by mid-century, as indicated by a recent World Health Organization (WHO) study. The socio-economic landscape in India presents unique challenges, with a population that may not be adequately educated on allocating resources for healthcare beyond the age of 60, especially for conditions like Alzheimer's, which currently lacks a definitive cure. Addressing this impending health crisis necessitates innovative, early diagnosis and cost-effective solutions. This comprehensive review paper explores the potential of utilizing speech data analysis for the early detection of Alzheimer’s Disease (AD), offering a pragmatic approach to mitigate the severity of cases. By harnessing speech data, the aim is to diagnose the condition in its early stages, minimizing costs and enabling timely interventions to impede its progression. Early diagnosis is paramount, as it opens doors to effective treatments and preventative measures. The paper systematically reviews various processes involved in developing a mathematical model for the early detection of Alzheimer’s Disease (AD). It delves into key aspects such as data collection methodologies, pre-processing techniques, feature extraction methods, and diverse classifiers. The intention is to provide a thorough understanding of the intricacies involved in creating an accurate and reliable model for early Alzheimer's detection. In light of Alzheimer’s Disease (AD) representing a substantial majority of dementia cases, this review paper serves as a valuable resource for researchers, healthcare professionals, and policymakers. It fosters a deeper comprehension of potential avenues for leveraging speech data specifically in the context of Alzheimer's. As we confront the impending surge in Alzheimer's cases in India, this comprehensive review work contributes to the foundation of knowledge needed to develop scalable and accessible solutions, making a substantial impact on public health.

Estimating risk to prevent damage: predicting and preventing coypu (Myocastor coypus) damage to transport infrastructure.

A major impact of the invasive Myocastor coypus in the introduction range is the collapse of riverbanks and nearby infrastructure, such as railway lines, due to the species' burrowing activities. As the ubiquitous implementation of preventive measures along watercourses is unfeasible, identifying susceptible areas is key to guide targeted management actions. This study used species-habitat models to (i) identify the local environmental features of the railway line/watercourse intersections (RLWIs) that make them particularly susceptible to coypu damage, and (ii) predict species occurrence probability in a wide lowland-hilly area of northern Italy (Lombardy) to identify priority areas for monitoring. The local scale models stressed that the RLWIs most susceptible to burrowing were those surrounded by arable lands with interspersed hedgerows locally characterized by high herbaceous vegetation and clay soil. In urbanized and intensive agricultural areas coypu dens were generally located significantly closer to the railway, increasing the collapse risk. The landscape-scale species distribution model showed that lowland areas located along major rivers and lake shores, but also agricultural areas with a dense minor hydrographic network especially in the southeast of the study area, are more likely occupied by the species. The local scale models shown that specific environmental characteristics increase the risk of burrowing near RLWIs. The landscape scale model allowed predicting which areas require thorough monitoring of RLWIs in search of such local characteristics to implement preventive management measures. The proposed model-based framework can be applied to any geographical context to predict and prevent coypu damages. This article is protected by copyright. All rights reserved.

Prevalence of lingual sensory impairment following bilateral sagittal split osteotomy: a systematic review and meta-analysis.

Our study aims to estimate the prevalence of lingual nerve injury following bilateral sagittal split osteotomy (BSSO). Two reviewers independently conducted a systematic literature search in the Medline and Scopus databases. The pooled prevalence with 95% confidence intervals (CI) was estimated, and quality assessment, outlier analysis, and influential analysis were performed. In total, eleven eligible studies comprising a total of 1,882 participants were included in this meta-analysis. One study was identified as critically influential. The overall prevalence of lingual sensory impairment was estimated to be as high as 0.1% (95% CI 0.0%-0.6%) with moderate heterogeneity observed between studies. It is important for healthcare professionals to be aware of this issue, despite the relatively low rate of lingual nerve deficit after BSSO. Additional research will provide a more comprehensive understanding of the underlying factors contributing to lingual nerve injury, leading to improved preventive measures and treatment strategies. Furthermore, insights gained from future studies will enable healthcare professionals to inform patients about the potential complications and manage their expectations before undergoing BSSO.

Unlocking the nanoparticle emission potential: a study of varied filaments in 3D printing.

This study investigates nanoparticle emission during 3D printing processes, assessing various filament materials' impact on air quality. Commonly used 3D printers, including both filament and resin-based types, were examined. The study's scope encompasses diverse filament materials like ABS (acrylonitrile butadiene styrene), PLA (polylactic acid), PETG (polyethylene terephthalate glycol), ASA (acrylonitrile styrene acrylate), TPU (thermoplastic polyurethane), PP (polypropylene), nylon, and wood-based variants, alongside three types of resins. The research delves into the relationship between the type of material and nanoparticle emissions, emphasizing temperature's pivotal role. Measurement instruments were employed for nanoparticle quantification, including an engine exhaust particle sizer spectrometer, condensation particle counter, and nanozen dust counters. Notably, results reveal substantial variations in nanoparticle emissions among different filament materials, with ASA, TPU, PP, and ABS showing considerably elevated emission levels and characteristic particle size distribution patterns. The findings prompt practical recommendations for reducing nanoparticle exposure, emphasizing printer confinement, material selection, and adequate ventilation. This study offers insights into potential health risks associated with 3D printing emissions and provides a basis for adopting preventive measures.

Behavioral prevention of HBV transmission in urban communities toward global elimination of hepatitis in 2030: a systematic review

Hepatitis B is a serious threat to public health on a global scale. The Hepatitis B virus (HBV), which spreads both vertically and horizontally, is easily contracted by anyone. In 2020, the World Health Organization estimates that 257 million people worldwide have hepatitis B, and 900,000 people die from it each year. According to the World Health Organization (2021), there are approximately 39.4 million people in Southeast Asia living with chronic hepatitis B mortality, with 410,000 deaths caused by the disease.  HBV can spread through injections, horizontal transmission, blood transfusions, and organ transplants. Cochrane, Science Direct, PubMed, Elsevier, Sage, Willey, DOAJ, and Google Scholar database sources were used to search for supported research on how to prevent hepatitis virus transmission in urban communities. 15 publications address the primary and secondary prevention of hepatitis B transmission in urban settings. Prevention keeps a person in good health and prevents them from progressing to a later, worse stage. Given that the hepatitis B virus can infect anyone, regardless of age, and that it affects people's health worldwide, as well as their families, communities, and families within them. In order to eradicate the hepatitis B virus, society must be aware of the importance of implementing preventive measures on a continuous and long-term basis through health advocacy activities, hepatitis B virus screening campaigns, health education, counseling, hepatitis B vaccination with community-based activities, and secondary prevention through combination therapy treatment in post-liver transplant patients.

Self-perceived bullying victimization in pre-adolescents on the autism spectrum: EPINED study.

Autistic individuals face a higher risk of various forms of victimization throughout their lives, with bullying being especially prevalent during their school years. Previous studies indicate that autistic children are 2.4 times more likely to be bullied than their typically developing peers and twice as vulnerable as those with other disabilities. However, the extent of this issue among Spanish schoolchildren with autism remains unexplored. In addition, there is no information regarding the presence of bullying victimization in children with marked but undiagnosed autistic traits (i.e. subthreshold autistic traits). This study examines the self-reported prevalence of bullying victimization in autistic pre-adolescents and those with subthreshold autistic traits, comparing them with peers without neurodevelopmental conditions. The study involved 323 participants (11 and 12 years old; 45 with autism or subthreshold autistic traits) from Spanish general education schools. The results revealed a higher rate of bullying victimization among autistic participants (58%; 3.1 times higher risk) and those with subthreshold autistic traits (27%; 1.5 times higher risk) compared with their peers without neurodevelopmental conditions (18.3%). Victimization was linked to more intense restrictive behaviours and increased behavioural and emotional problems. No significant associations were found with other individual or family factors. Our findings underscore the heightened risk of bullying faced by autistic pre-adolescents and those with subthreshold autistic traits at school, emphasizing the need to identify and implement preventive measures to mitigate bullying and its detrimental impact on their mental well-being and overall quality of life.

Epidemiology of Mycoplasma pneumoniae in children with acute respiratory infections in Hangzhou during January 2021 to June 2023

Abstract Objectives Mycoplasma pneumoniae (MP) is known to be a common pathogen causing human respiratory infections. On December 7, 2022, the Chinese government announced 10 new measures of Prevention and Control of COVID-19, marking the onset of the post-COVID-19 era. This study aimed to investigate the epidemiological characteristics of Mycoplasma pneumoniae (MP) infections among children from January 2021 to June 2023. Methods Children with respiratory tract infection were enrolled in the study with fever and one or more respiratory symptoms. A serological diagnosis was confirmed with MP IgM antibodies. Results A total of 18,763 patients were enrolled, of whom 4,867 cases were MP-positive, resulting in a positivity rate of 25.9 %. The MP positivity rate increased annually, with 18.6 , 26.7, and 33.2 % in 2021, 2022, and 2023, respectively. The main disease type of MP infection was Mycoplasma pneumoniae pneumonia (MPP), with 74.0 , 87.8, and 86.4 % in 2021, 2022, and 2023, respectively. Higher positivity rates were concentrated in children aged 6 years and older, and the positivity rate in children under 1 year of age in 2023 is the largest increase among all age groups. Conclusions The positivity rate of MP increased significantly after the adjustment of COVID-19 prevention and control in China, and the most significant increase was seen in the infant group. Effective prevention and control measures should be implemented to reduce the prevalence of MP infection among children aged 6 years older and the infant group (<1 year).

The Prevention of House Dust Mite Allergies in Pediatric Asthma

This review provides a concise overview of preventive measures against dust mite allergies in pediatric populations, emphasizing the need for a comprehensive and evolving approach. Dust mites, ubiquitous microscopic arachnids, pose a significant threat to children’s health, triggering allergies and asthma. Traditional preventive strategies such as regular cleaning, mattress covers, and humidity control are essential but warrant refinement. Empowering children through personalized hygiene education and exploring innovative bedding solutions showcase a forward-thinking paradigm. Collaboration with healthcare professionals and embracing technology-driven solutions ensures a holistic and adaptable approach to safeguarding pediatric health against dust mite-related ailments. This abstract underscores the importance of continually reassessing and innovating preventive measures to create resilient and health-conscious living environments for children.

Prevalence of early childhood caries post covid-19 pandemic in Mumbai among children aged 3-5 years: A cross-sectional pilot study

This cross-sectional pilot study aims to investigate the prevalence of Early Childhood Caries (ECC) among children aged 3 to 5 years in Mumbai City, Maharashtra, following the COVID-19 pandemic. A total of 91 children were included in the study, with ECC prevalence assessed through standardized examinations and dmfs scoring. Simple random sampling was employed, and data were analyzed using descriptive statistics and inferential tests. The study found a high prevalence of ECC (63.74%) among the study population, with no significant gender-based differences observed in ECC occurrence or severity. Despite similar ECC prevalence rates between boys and girls, the overall burden of ECC underscores the urgent need for targeted interventions and preventive measures. The findings highlight the pressing oral health challenge faced by young children in urban settings post-pandemic and emphasize the importance of comprehensive oral health promotion programs and equitable access to preventive oral healthcare. Addressing modifiable risk factors and integrating oral health services into primary healthcare systems are essential steps toward improving oral health outcomes for children in Mumbai and similar urban environments.

Development and performance assessment of novel machine learning models for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage patients: external validation in MIMIC-IV

BackgroundPostoperative pneumonia (POP) is one of the primary complications after aneurysmal subarachnoid hemorrhage (aSAH) and is associated with postoperative mortality, extended hospital stay, and increased medical fee. Early identification of pneumonia and more aggressive treatment can improve patient outcomes. We aimed to develop a model to predict POP in aSAH patients using machine learning (ML) methods.MethodsThis internal cohort study included 706 patients with aSAH undergoing intracranial aneurysm embolization or aneurysm clipping. The cohort was randomly split into a train set (80%) and a testing set (20%). Perioperative information was collected from participants to establish 6 machine learning models for predicting POP after surgical treatment. The area under the receiver operating characteristic curve (AUC), precision-recall curve were used to assess the accuracy, discriminative power, and clinical validity of the predictions. The final model was validated using an external validation set of 97 samples from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database.ResultsIn this study, 15.01% of patients in the training set and 12.06% in the testing set with POP after underwent surgery. Multivariate logistic regression analysis showed that mechanical ventilation time (MVT), Glasgow Coma Scale (GCS), Smoking history, albumin level, neutrophil-to-albumin Ratio (NAR), c-reactive protein (CRP)-to-albumin ratio (CAR) were independent predictors of POP. The logistic regression (LR) model presented significantly better predictive performance (AUC: 0.91) than other models and also performed well in the external validation set (AUC: 0.89).ConclusionA machine learning model for predicting POP in aSAH patients was successfully developed using a machine learning algorithm based on six perioperative variables, which could guide high-risk POP patients to take appropriate preventive measures.

Human Campylobacteriosis: A Threat for Public Health

Global public health is seriously threatened by human campylobacteriosis, which is mostly caused with the bacteria Campylobacter jejuni and Campylobacter coli. An extensive summary of the disease's epidemiology, pathophysiology, clinical presentations, diagnosis, therapy, and preventive measures is provided in this abstract. Poultry is a key reservoir for campylobacteriosis, one of the most common foodborne illnesses in the world. Via direct contact with sick animals or by consuming tainted food or water, the virus can spread. Warmer months see a rise in its incidence, which reflects varying seasons and environmental factors. When ingested, certain species of Campylobacter invade the gastrointestinal tract and produce symptoms that can range from a minor case of gastroenteritis to more serious consequences like Guillain-Barré syndrome. Young children and those with impaired immune systems are especially susceptible to its crippling consequences. Microbiological culture techniques are the mainstay of diagnosis, while molecular methods are becoming more and more popular because of their superior sensitivity and specificity. For proper therapy and to reduce the risk of complications, early identification is essential. In severe cases, treatment usually consists of supportive care and antibiotics, albeit there are hurdles due to the growth of antimicrobial resistance. Furthermore, preventive measures include appropriate food handling procedures, stringent cleanliness standards, and focused vaccination programs for livestock. Even with improvements in knowledge and treatment, human campylobacteriosis is still a serious public health issue. Because of its complicated epidemiology and the resilience of the Campylobacter species, it is imperative to use a variety of strategies to stop its spread. In summary, human campylobacteriosis poses a persistent risk to public health, requiring constant monitoring, investigation, and cross-sector cooperation. We can work to lessen its impact on society and protect the welfare of people everywhere by improving our comprehension of its mechanisms and putting in place efficient control measures.

Predictive performance of machine learning compared to statistical methods in time-to-event analysis of cardiovascular disease: a systematic review protocol

BackgroundGlobally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD...

Assessing salivary innate immune responses in adolescents with dentofacial abnormalities and central precocious puberty

Relevance. Central precocious puberty (CPP), characterized by a high incidence of 60% among endocrinopathies during puberty, significantly influences dentofacial development and the local immune defense mechanisms in adolescents. However, the impact on saliva's innate immune function remains underexplored.This study aims to evaluate the innate immune function of saliva in individuals with CPP coexisting with dentofacial abnormalities.Materials and methods. An analysis of saliva biochemical markers was conducted on 59 adolescents diagnosed with CPP and dentofacial abnormalities, alongside a control group of 21 age-matched individuals with dentofacial abnormalities but without systemic conditions, aged 13-18 years. The evaluation focused on lysozyme and urease levels, dysbiosis markers indicating oral microbiota status, malondialdehyde (MDA) levels, and catalase activity to gauge the balance between pro-oxidant and antioxidant systems, alongside proteolytic enzyme elastase activity.Results. Adolescents with combined CPP and dentofacial abnormalities exhibited weakened antioxidant and antibacterial defenses, evidenced by decreased catalase activity (0.105 ± 0.020 mkat/l, p < 0.001) and lysozyme levels (54.7 ± 3.2 U/l, p < 0.02), against a backdrop of increased lipoperoxidation and microbial contamination (MDA levels at 0.48 ± 0.11 μmol/l, p < 0.05, urease levels at 0.713 ± 0.015 μkat/l, p < 0.01), and heightened inflammation (elastase activity up to 2.71 ± 0.12 μkat/l, p < 0.01).Conclusion. The diminished innate immune function in saliva necessitates the development of strategies to enhance it, serving as a preventive measure against gingivitis in patients with CPP.

Construction and validation of a neovascular glaucoma nomogram in patients with diabetic retinopathy after pars plana vitrectomy

BACKGROUND Neovascular glaucoma (NVG) is likely to occur after pars plana vitrectomy (PPV) for diabetic retinopathy (DR) in some patients, thus reducing the expected benefit. Understanding the risk factors for NVG occurrence and building effective risk prediction models are currently required for clinical research. AIM To develop a visual risk profile model to explore factors influencing DR after surgery. METHODS We retrospectively selected 151 patients with DR undergoing PPV. The patients were divided into the NVG (NVG occurrence) and No-NVG (No NVG occurrence) groups according to the occurrence of NVG within 6 months after surgery. Independent risk factors for postoperative NVG were screened by logistic regression. A nomogram prediction model was established using R software, and the model’s prediction accuracy was verified internally and externally, involving the receiver operator characteristic curve and correction curve. RESULTS After importing the data into a logistic regression model, we concluded that a posterior capsular defect, preoperative vascular endothelial growth factor ≥ 302.90 pg/mL, glycosylated hemoglobin ≥ 9.05%, aqueous fluid interleukin 6 (IL-6) ≥ 53.27 pg/mL, and aqueous fluid IL-10 ≥ 9.11 pg/mL were independent risk factors for postoperative NVG in patients with DR (P < 0.05). A nomogram model was established based on the aforementioned independent risk factors, and a computer simulation repeated sampling method was used to internally and externally verify the nomogram model. The area under the curve (AUC), sensitivity, and specificity of the model were 0.962 [95% confidence interval (95%CI): 0.932-0.991], 91.5%, and 82.3%, respectively. The AUC, sensitivity, and specificity of the external validation were 0.878 (95%CI: 0.746-0.982), 66.7%, and 95.7%, respectively. CONCLUSION A nomogram constructed based on the risk factors for postoperative NVG in patients with DR has a high prediction accuracy. This study can help formulate relevant preventive and treatment measures.

Evaluation of Gastric pH and Gastrin Concentrations in Horses Subjected to General Inhalation Anesthesia in Dorsal Recumbency

The prevalence of gastric disorders in high-performance horses, especially gastric ulceration, ranges from 50 to 90%. These pathological conditions have negative impacts on athletic performance and health. This study was designed to evaluate changes in gastric pH during a 24 h period and to compare gastrin concentrations at different time points in horses undergoing general inhalation anesthesia and dorsal recumbency. Twenty-two mixed-breed mares weighing 400 ± 50 kg and aged 8 ± 2 years were used. Of these, eight were fasted for 8 h and submitted to 90 min of general inhalation anesthesia in dorsal recumbency. Gastric juice samples were collected prior to anesthesia (T0), and then at 15 min intervals during anesthesia (T15–T90). After recovery from anesthesia (45 ± 1 min), samples were collected every hour for 24 h (T1 to T24) for gastric juice pH measurement. During this period, mares had free access to Bermuda grass hay and water and were fed a commercial concentrate twice (T4 and T16). In a second group (control), four non-anesthetized mares were submitted to 8 h of fasting followed by nasogastric intubation. Gastric juice samples were then collected at T0, T15, T30, T45, T60, T75, and T90. During this period, mares did not receive food or water. After 45 min, mares had free access to Bermuda grass hay and water, and gastric juice samples were collected every hour for four hours (T1 to T4). In a third group comprising ten non-fasted, non-anesthetized mares with free access to Bermuda grass hay and water, gastric juice samples were collected 30 min after concentrate intake (T0). In anesthetized mares, blood gastrin levels were measured prior to anesthesia (8 h fasting; baseline), during recovery from anesthesia, and 4 months after the anesthetic procedure, 90 min after the morning meal. Mean values of gastric juice pH remained acidic during general anesthesia. Mean pH values were within the physiological range (4.52 ± 1.69) and did not differ significantly between time points (T15–T90; p  >  0.05). After recovery from anesthesia, mean gastric pH values increased and remained in the alkaline range throughout the 24 h period of evaluation. Significant differences were observed between T0 (4.88 ± 2.38), T5 (7.08 ± 0.89), T8 (7.43 ± 0.22), T9 (7.28 ± 0.36), T11 (7.26 ± 0.71), T13 (6.74 ± 0.90), and T17 (6.94 ± 1.04) (p  <  0.05). The mean gastric juice pH ranged from weakly acidic to neutral or weakly alkaline in all groups, regardless of food and water intake (i.e., in the fasted, non-fasted, and fed states). Mean gastric pH measured in the control group did not differ from values measured during the 24 h post-anesthesia period or in the non-fasted group. Gastrin concentrations increased significantly during the post-anesthetic period compared to baseline (20.15 ± 7.65 pg/mL and 15.15 ± 3.82 pg/mL respectively; p  <  0.05). General inhalation anesthesia and dorsal recumbency did not affect gastric juice pH, which remained acidic and within the physiological range. Gastric juice pH was weakly alkaline after recovery from anesthesia and in the fasted and fed states. Serum gastrin levels increased in response to general inhalation anesthesia in dorsal recumbency and were not influenced by fasting. Preventive pharmacological measures are not required in horses submitted to general anesthesia and dorsal recumbency.

Classification of peanut pod rot based on improved YOLOv5s

Peanut pod rot is one of the major plant diseases affecting peanut production and quality over China, which causes large productivity losses and is challenging to control. To improve the disease resistance of peanuts, breeding is one significant strategy. Crucial preventative and management measures include grading peanut pod rot and screening high-contributed genes that are highly resistant to pod rot should be carried out. A machine vision-based grading approach for individual cases of peanut pod rot was proposed in this study, which avoids time-consuming, labor-intensive, and inaccurate manual categorization and provides dependable technical assistance for breeding studies and peanut pod rot resistance. The Shuffle Attention module has been added to the YOLOv5s (You Only Look Once version 5 small) feature extraction backbone network to overcome occlusion, overlap, and adhesions in complex backgrounds. Additionally, to reduce missing and false identification of peanut pods, the loss function CIoU (Complete Intersection over Union) was replaced with EIoU (Enhanced Intersection over Union). The recognition results can be further improved by introducing grade classification module, which can read the information from the identified RGB images and output data like numbers of non-rotted and rotten peanut pods, the rotten pod rate, and the pod rot grade. The Precision value of the improved YOLOv5s reached 93.8%, which was 7.8%, 8.4%, and 7.3% higher than YOLOv5s, YOLOv8n, and YOLOv8s, respectively; the mAP (mean Average Precision) value was 92.4%, which increased by 6.7%, 7.7%, and 6.5%, respectively. Improved YOLOv5s has an average improvement of 6.26% over YOLOv5s in terms of recognition accuracy: that was 95.7% for non-rotted peanut pods and 90.8% for rotten peanut pods. This article presented a machine vision- based grade classification method for peanut pod rot, which offered technological guidance for selecting high-quality cultivars with high resistance to pod rot in peanut.