Health Monitoring Program Research Articles

Characterising the Chemical Composition of Bushfire Smoke and Implications for Firefighter Exposure in Western Australia

This study evaluates bushfire smoke as a workplace hazard for firefighters by characterising its chemical composition and potential health risks in Western Australia. Portable Fourier Transform Infrared (FTIR) spectrometry was used to measure airborne chemical concentrations at prescribed burns across five regions, including peat (acid sulphate) fire events. Samples were collected during both flaming and smouldering phases, as well as in perceived “clear” air resting zones. Results indicated that carbon monoxide (CO) was the dominant gas, reaching concentrations of 205 ppm at the fire front, followed by nitrogen monoxide (26 ppm) and methane (19 ppm). Peat fires produced distinct profiles, with ammonia (21.5 ppm) and sulphur dioxide (9.5 ppm) concentrations higher than those observed in typical bushfires. Smouldering phases emitted higher chemical concentrations than flaming phases 75% of the time. Even clear air zones contained measurable chemicals, with CO levels averaging 18 ppm, suggesting that firefighters are not free from exposure during rest periods. These findings highlight the need for fit-for-purpose respiratory protective equipment (RPE) and improved rest protocols to minimise exposure. The study underscores the importance of comprehensive health monitoring programs for firefighters to mitigate long-term health risks.

Automated image transcription for perinatal blood pressure monitoring using mobile health technology.

This paper introduces a novel approach to address the challenges associated with transferring blood pressure (BP) data obtained from oscillometric devices used in self-measured BP monitoring systems to integrate this data into medical health records or a proxy database accessible by clinicians, particularly in low literacy populations. To this end, we developed an automated image transcription technique to effectively transcribe readings from BP devices, ultimately enhancing the accessibility and usability of BP data for monitoring and managing BP during pregnancy and the postpartum period, particularly in low-resource settings and low-literate populations. In the designed study, the photos of the BP devices were captured as part of perinatal mobile health (mHealth) monitoring programs, conducted in four studies across two countries. The Guatemala Set 1 and Guatemala Set 2 datasets include the data captured by a cohort of 49 lay midwives from 1697 and 584 pregnant women carrying singletons in the second and third trimesters in rural Guatemala during routine screening. Additionally, we designed an mHealth system in Georgia for postpartum women to monitor and report their BP at home with 23 and 49 African American participants contributing to the Georgia I3 and Georgia IMPROVE projects, respectively. We developed a deep learning-based model which operates in two steps: LCD localization using the You Only Look Once (YOLO) object detection model and digit recognition using a convolutional neural network-based model capable of recognizing multiple digits. We applied color correction and thresholding techniques to minimize the impact of reflection and artifacts. Three experiments were conducted based on the devices used for training the digit recognition model. Overall, our results demonstrate that the device-specific model with transfer learning and the device independent model outperformed the device-specific model without transfer learning. The mean absolute error (MAE) of image transcription on held-out test datasets using the device-independent digit recognition were 1.2 and 0.8 mmHg for systolic and diastolic BP in the Georgia IMPROVE and 0.9 and 0.5 mmHg in Guatemala Set 2 datasets. The MAE, far below the FDA recommendation of 5 mmHg, makes the proposed automatic image transcription model suitable for general use when used with appropriate low-error BP devices.

Effect of automated health monitoring based on rumination, activity, and milk yield alerts versus visual observation on herd health monitoring and performance outcomes

A primary objective of this randomized trial was to compare the percentage of cows that underwent clinical examination and were diagnosed with clinical health disorders (CHD) with a health monitoring program that relied only on automated monitoring system alerts vs a program that relied only on visual observation of clinical signs of disease to select cows for clinical examination. Another objective was to compare the effects of these health monitoring programs on milk yield, the herd exit dynamics (i.e., cows sold and dead), and first service reproductive outcomes. Lactating Holstein cows (n = 1,204) enrolled in the experiment were fitted with a neck-attached sensor of an automated monitoring system (HR Tags; Merck & Co., Inc.) that generated health alerts based on rumination time and activity. Milk yield was monitored 3 times per day by automated milk meters (MM27BC, DeLaval). Cows were blocked by parity, close-up period diet, and stratified by previous lactation milk yield, and then were randomly assigned within block to different programs for monitoring health from 3 to 21 d in milk (DIM). Cows in the visual observation group (VO; n = 597) were selected for clinical examination exclusively based on visual observation of clinical signs of disease, whereas cows in the automated health monitoring group (AHM; n = 607) were selected for clinical examination based on health alerts consisting of the following: a Health Index Score < 86 arbitrary units, daily rumination < 250 min, or a reduction of > 20% in daily milk yield. Once selected for examination, the clinical exam was the same for both treatment groups. Binary data such as the occurrence of CHD, herd exit, and pregnancies per AI were analyzed with logistic regression. Daily and weekly milk yield were analyzed using ANOVA with repeated measurements. More cows underwent a clinical examination, more cows were diagnosed with at least one CHD, and more cows received treatment in the AHM than the VO treatment group. Cows in the AHM treatment had more accumulated milk than cows in the VO treatment from 2 to 21 DIM. Cows in the AHM treatment diagnosed with at least one CHD produced more milk from 3 to 18 and 20 to 21 DIM than cows diagnosed with a CHD in the VO treatment. Fewer cows left the herd up to 21 DIM for the AHM than the VO treatment. Pregnancies per AI at first service were greater for the VO than the AHM treatment at 30 d but not at 50 d after AI and no difference in pregnancy loss was detected. In conclusion, a health monitoring strategy that used automated health alerts increased the risk of undergoing clinical examination and having CHD diagnosed compared with a program that selected cows for clinical examination based exclusively on visual observation. Cows monitored with the program that relied on automated alerts also had greater milk yield in the first 21 DIM. Thus, monitoring cow health based on automated behavior and milk yield alerts might be a more effective alternative for health monitoring than exclusive use of visual observation of clinical signs of disease.

MỘT SỐ ĐẶC ĐIỂM SINH HỌC CỦA LOÀI SÂU ĐO ĂN LÁ Pogonopygia nigralbata Warren (Lepidoptera: Geometridae: Ennominae) GÂY HẠI CÂY HỒI TẠI TỈNH BẮC KẠN

Illicium verum is a non-timber forest product, which is widely cultivated in Vietnam. A leaf-feeder, Pogonopygia nigralbata Warren is a moth (Lepidoptera: Geometridae: Ennominae), has caused significant damage to plantations of this plant species in Bac Kan province. Field surveys in 2023 found P. nigralbata damage to I. verum in the districts of Cho Moi and Bach Thong, with a damage incidence (P%) ranging from 33.7% to 69.5% and an average damage index (DI) from 0.75 to 1.72. The life cycle spans 69 - 96 days, with overwintering occurring in the larval stage. Females lay 60 - 97 eggs during an oviposition period of 9 - 13 days. The larval and pupal stages last 32 - 46 days and 23 - 30 days, respectively. Adults survive for 12 - 23 days, with a longevity of 4 - 6 days. This pest should be researched in detail and included in future forest health monitoring programs in Bac Kan to determine its suitable mangement approaches.

Natural Bacterial Co-Infection in Farmed European Sea Bass Intended for Experimental Research in Sicily, Southern Italy: Pathological Findings

In mariculture facilities, bacterial infections pose significant production challenges, with potentially catastrophic impacts on fish species. Bacterial co-infections are a widespread phenomenon in the natural marine environment, although their impact on aquatic organisms remains poorly investigated. This study aimed to detail the pathological findings associated with a natural bacterial co-infection caused by three different pathogens, namely Photobacterium damselae subsp. piscicida, Tenacibaculum maritimum and Vibrio sp., as the cause of mass mortality in European sea bass. The fish had been reared in open-net cages in Sicily and later transferred for experimental research purposes to a user establishment after immunization with an inactivated vaccine. Macroscopic, cytological and histopathological examinations were performed on 109 animals, and bacterial species were identified by the 16S rRNA gene. Overall, ulcerative skin lesions, necrotizing myositis and tail rot with occasional tail loss were associated with tenacibaculosis and vibriosis, while P. damselae subsp. piscicida mainly caused granulomatous inflammation in the spleen and head kidney. Finally, an injection site reaction due to the oil-adjuvanted vaccine administered intraperitoneally was observed in the abdominal fat. Understanding the impact of bacterial pathogens is essential to manage the health and welfare of farmed fish, and the importance of a good health monitoring program cannot be overstated to avoid outbreaks and the possible emergence of new pathogens due to the intensification of the production systems, antibiotic resistance and climate changes. The study would also highlight the importance of the quarantine period when animals supplied for research come from aquaculture farms and how the main goal in the near future should be to better define the procedures to provide completely pathogen-free animals.

Characterizing Referrals to Professional Health Monitoring Programs for Unprofessional Sexual Behavior.

Concerns about sexual misconduct by health care professionals have been highlighted by recent high-profile cases. Professional health monitoring programs (PHPs) offer an additional layer of protection when health care professionals with a history of unprofessional sexual behavior (USB) return to practice; however, little is known about the characteristics or outcomes of clinicians referred to a PHP because of USB. Data were extracted from over 35 years of PHP records involving USB-related referrals (N = 570). The majority of cases were deemed ineligible for PHP monitoring and handled by other entities (e.g., licensing board, legal system). Of the 232 monitored cases (46.84 ± 9.42 years; 95.7% male), most were physicians (n = 156, 67.2%), with 75.9 percent of monitored cases involving USB with at least one patient. Most (74.9%) PHP monitoring outcomes were classified as "successful" or "very successful." Only three individuals (1.3%) who completed their monitoring were rereferred to the PHP. Monitored professionals exhibited less severe USB and were less likely to experience legal or disciplinary consequences (57.3% versus 69.8%, Cramer's V = .174, p < .0001) compared with unmonitored professionals. Findings enhance transparency of the PHP process and highlight its utility in safely returning clinicians to practice. Results may inform policies to prevent USB by health care professionals.

Murine astrovirus (MuAstV) infection in mouse facilities in Brazil: First South American report.

This study aimed to investigate the presence of murine astrovirus (MuAstV) in Brazil. Fecal samples from mice belonging to four Brazilian animal facilities were collected and tested for MuAstV using real-time polymerase chain reaction. Of the 162 samples tested, 38 (23.5%) were positive for MuAstV, 33 (91.7%) of which came from specific-pathogen free colonies. Although most of the samples were obtained from asymptomatic animals, three mice presented diarrheal symptoms, and MuAstV was the only agent detected by molecular assay. Phylogenetic analysis revealed similarities between the MuAstV strains from this study and prototypes from the USA. MuAstV's high prevalence, environmental stability, genetic diversity and potential for persistent infections must be considered when evaluating health monitoring programs for laboratory rodents.

Assessment of overall remaining useful life of lubricants by integrating oil quality and performance

Effective lubricant health monitoring programs are essential for extending the lifespan of both the lubricant and machinery. An accurate and reliable remaining useful life (RUL) prediction is necessary for maintenance decision support. The degradation of used lubricating oil information trends evaluated using used oil analysis results is necessary. This study addresses the need for a comprehensive tool to consolidate oil analysis parameters and determine the remaining useful life (RUL) of used lubricating oil (ULO). A Performance Rating Index (PRI) was developed by integrating various oil degradation testing parameters, including membrane patch colorimetry for varnish and sludge potential, along with viscosity, foaming stability, water separability, air release properties, oxidation stability, rust prevention, and copper strip corrosion. The integration of routine and performance test results of a turbine oil at 25,480 operating hours exhibited a PRI of 48.5. Correlating with the ASTM degradation alarm limits of 50 %, the PRI results provide clear maintenance actions before the original equipment manufacturer's recommended overhaul. The PRI approach supports proactive maintenance by facilitating early oil replenishment, extending RUL, and reducing waste oil.

Association of air pollution with incidence of end-stage kidney disease in two large European cohorts

End-stage kidney disease (ESKD) poses a high burden on patients and health systems. While numerous studies indicate an association between air pollution and chronic kidney disease, studies on ESKD are rare. We investigated the association of long-term exposure to nitrogen dioxide (NO₂), fine particulate matter (PM2.5), black carbon (BC) and ozone (O3) with ESKD incidence in two large population-based European cohorts.We followed individuals in the Austrian Vorarlberg Health Monitoring and Promotion Program (VHM&PP) and the Italian Rome Longitudinal Study (RoLS) using dialysis and kidney transplant registries.Long-term exposure to pollutants was estimated at the home address using Europe-wide land use regression models at 100x100m scale. Hazard ratios (HR) were determined from Cox-proportional hazard models adjusted for individual and neighbourhood level confounders.We observed 501 events among 136,823 individuals in VHM&PP (mean age 42.1 years; crude incidence rate (IR) 0.14 per 1000 person-years) and 3231 events among 1,939,461 individuals in RoLS (mean age 52.4 years; IR 0.22 per 1000 person-years). In VHM&PP, there was no evidence of an association between PM2.5 or O3 and ESKD. There were elevated HRs but with large confidence intervals for BC (HR 1.17 [95 % confidence interval (CI): 0.98, 1.39] for 0.5*10−5/m), and for NO₂ (HR 1.14 [95%CI: 0.96, 1.35] for 10 μg/m3). In RoLS, ESKD was associated with PM2.5 (HR 1.37 [95 % CI: 1.06, 1.76] for an increase of 5 μg/m3), while there was no evidence of association with BC, NO2, or O3 exposure.Our study suggests an association of air pollution with ESKD incidence, which differed between the two cohorts and may possibly be influenced by respective air pollution mixtures.

DNA Virome in Cardiac Tissue from Green Sea Turtles (Chelonia mydas) with Myocarditis.

As part of a sea turtle health monitoring program on the central east coast of Queensland, Australia, stranded and sick green sea turtles (Chelonia mydas) were subjected to necropsy and histopathology. A subset of these turtles had myocarditis of varying severity, which could not be attributed to parasitism by spirorchid flukes or bacterial infections. We, therefore, undertook an investigation to determine whether virus infections might be part of the pathogenesis. Deep sequencing revealed abundant DNA virus contigs in the heart tissue, of which CRESS and circoviruses appeared to be the most consistently present. Further analysis revealed the homology of some of the circoviruses to the beak and feather disease virus. While a causative link to myocarditis could not be established, the presence of these viruses may play a contributing role by affecting the immune system and overall health of animals exposed to pollutants, higher water temperatures, and decreasing nutrition.

Inspiration4 data access through the NASA Open Science Data Repository

The increasing accessibility of commercial and private space travel necessitates a profound understanding of its impact on human health. The NASA Open Science Data Repository (OSDR) provides transparent and FAIR access to biological studies, notably the SpaceX Inspiration4 (I4) mission, which amassed extensive data from civilian astronauts. This dataset encompasses omics and clinical assays, facilitating comprehensive research on space-induced biological responses. These data allow for multi-modal, longitudinal assessments, bridging the gap between human and model organism studies. Crucially, community-driven data standards established by NASA’s OSDR Analysis Working Groups empower artificial intelligence and machine learning to glean invaluable insights, guiding future mission planning and health risk mitigation. This article presents a concise guide to access and analyze I4 data in OSDR, including programmatic access through GLOpenAPI. This pioneering effort establishes a precedent for post-mission health monitoring programs within space agencies, propelling research in the burgeoning field of commercial space travel’s impact on human physiology.

Evaluation of a Novel Battery-Operated Tumbler Device for Use in the Detection of Mouse Pathogens for Rodent Health Monitoring.

The search for alternatives to live animal sentinels in rodent health monitoring programs is fundamental to the 3Rs (Reduction, Replacement, and Refinement) of animal research. We evaluated the efficacy of a novel battery-operated tumbler device that rotates soiled bedding in direct contact with sample media against the use of exhaust sample media and soiled bedding sentinel (SBS) mice. Four rodent racks were used, each with 3 test cages: a cage with a tumbler device that rotated for 10min twice a week (TUM10), a cage with a tumbler device that rotated for 60min twice a week (TUM60), and a cage housing 2 female Crl:CD1(ICR) mice. Every 2 wk, each test cage received soiled bedding collected from all cages on each respective rack. In addition to soiled bedding, the tumbler device contained various sample collection media: a contact Reemay filter (3mo-cRF) that remained in the tumbler for the duration of the study, a contact Reemay filter (1mo-cRF) that was replaced monthly, adhesive swabs (AS) that were added at every biweekly cage change, and an exhaust Reemay filter located at the exhaust outlet of the cage. All analyses were performed by direct PCR for both sample media in the animal-free methods, and fecal pellet, body swab, and oral swabs were collected from sentinel mice. Out of 16 total pathogens detected, assessment of 1mo-Crf from both TUM10 and TUM60 cages detected 84% and 79% of pathogens, respectively, while SBS samples detected only 47% of pathogens. AS in TUM60 and TUM10 cages detected the fewest pathogens (24% and 13%, respectively). These results indicate that the novel tumbler device is an effective and reliable tool for rodent health monitoring programs and a suitable replacement for live animal sentinels. In this study, 1mo-cRF in TUM10 cages detected the highest number of pathogens.

Analysis of irregularly sampled stream temperature time series: challenges and solutions

Water temperature is a key physical indicator of stream health, and as such, is commonly measured as part of long-term river health monitoring programs. However, analysis of long-term stream water temperature time series can be challenging, due to typically low frequencies of sampling combined with common characteristics of data collection from streams – such as observations unevenly spaced across seasons, changes to routine sampling frequencies, or improvements in the accuracy of measurements over time – known as sampling artifacts. While there are many models regularly used to estimate trends and summary statistics in long-term stream temperature datasets, there is limited understanding of the impact that commonly encountered sampling artifacts have on the accuracy and uncertainty of their estimates. This study constructed Monte-Carlo simulations to examine the influence that common sampling artifacts and the choice of analysis model can have on trend and mean estimates from long-term stream temperature time series covering tropical, temperate and cold climates. We found that, if not appropriately accounted for during analysis, sampling artifacts may obscure true trends or summary statistics, such as site means, and lead to inaccurate or misleading estimates. However, models that included components to account for seasonal variation within the model structure could estimate trends and means with high confidence, in the presence of almost all of the sampling artifacts commonly found in long-term stream temperature datasets. Structural biases in the time-of-day of sampling, such as always sampling in the morning, or where the start and end of the record are sampled at different times of day, could make estimates highly inaccurate and uncertain, and should be avoided in data collection strategies. This work aims to facilitate the analysis of historical stream temperature datasets with confidence, through identifying models that perform reliably in the presence of common sampling artifacts. The findings will enable further global insights into stream temperature, support management decisions based on accurate analysis and assist the design of future stream sampling programs using cost-effective, low-frequency sampling strategies.

Prevalence and influencing factors of anemia among pregnant women across first, second and third trimesters of pregnancy in monitoring areas, from 2016 to 2020: a population-based multi-center cohort study.

To assess the prevalence of anemia among pregnant women across their entire pregnancy and the factors affecting it in the monitoring areas. A total of 108,351 pregnant women who received antenatal health care and delivered from January 1, 2016 to December 31, 2020 in 15 monitoring counties of 8 provinces in the Maternal and Newborn Health Monitoring Program (MNHMP) of National Center for Women and Children's Health (NCWCH) were selected as the study subjects. The anemia status among the subjects across their first, second and third trimester of pregnancy and the influencing factors were analyzed. From 2016 to 2020, the prevalence of anemia at any stage during pregnancy in the monitoring areas was 43.59%. The prevalence of anemia among pregnant women across all three trimesters was 3.95%, and the prevalence of mild and moderate-to-severe anemia was 1.04% and 2.90%, respectively. Protective factors were living in the northern area (OR = 0.395) and being a member of an ethnic minority (OR = 0.632). The risk factors were residing in rural areas (OR = 1.207), with no more than junior high school education (OR = 1.203), having ≥ 3 gravidities (OR = 1.195) and multiple fetuses (OR = 1.478). Although the prevalence of anemia among pregnant women across all trimesters in the monitoring area was low, the severity of anemia was high. Since the prevalence of anemia among pregnant women across their entire pregnancy in the monitoring area is affected by many different factors, more attention should be paid to pregnant women living in rural areas, with low literacy, ≥ 3 gravidities and multiple fetuses for early intervention.

Physiological Fitness of U.S. Army Aviators Compared to the U.S. General Population.

INTRODUCTION: U.S. Army aviators are required to maintain a level of physiological fitness as part of their qualifying process, which suggests that they are generally physically healthy. However, it has not been statistically proven that they are more "physiologically fit" than the general population.METHODS: This retrospective study compares physiological measurements of U.S. Army aviators from the Aeromedical Electronic Resource Office database to the U.S. general population using the Center for Disease Control's National Health and Nutrition Examination Survey data. To enable an accurate comparison of physiological metrics between U.S. Army aviators and the U.S. general population, aviators were categorized into the same age groups and biological genders used for segmentation of the national population data.RESULTS: On average, pulse rate was 4.85 bpm lower in male aviators and 6.84 bpm lower in female aviators. Fasting glucose levels were, on average, 10.6 mg · dL-1 lower in aviators compared to the general population. Key metrics like pulse rate and fasting glucose were lower in aviators, indicating cardiovascular and metabolic advantages. However, parameters like cholesterol showed less consistent differences.DISCUSSION: While aviation physical demands and administrative policies selecting for elite physiological metrics produce improvements on some dimensions, a nuanced view accounting for the multitude of factors influencing an aviator's physiological fitness is still warranted. Implementing targeted health monitoring and maintenance programs based on assessments conducted more frequently than the current annual flight physical may optimize aviator safety and performance over the course of a career.D'Alessandro M, Mackie R, Wolf S, McGhee JS, Curry I. Physiological fitness of U.S. Army aviators compared to the U.S. general population. Aerosp Med Hum Perform. 2024; 95(4):175-186.

Key strategies for improving physical activity of the population within a global dimension

Topicality. As a result of the war before Ukraine has faced extremely difficult challenges. General situation remains dynamic and unstable. Based on research results it is determined that a lot of things, in particular, direction and pace of further transformations in Ukraine in the post-war period, depend on the level and quality of life of the population. The quality of life in the human health context is determined by certain factors, among which the physical activity is as the leading one. Its lack is considered as the fourth leading factor risk of global mortality. The purpose of the study is to carry out an analysis of the international key strategies experience for improving physical activity of the working-age population. Methodology. A semantic bibliography method followed by content analysis of research papers and e-resources have been used. The research novelty. Investigating the negative impact of physical activity lack on public health, World Health Organization (WHO) and the European Union (EU) reported global efforts to improve the situation by developing national programs and recommendations on the issue of increasing the levels of physical activity and reducing a sedentary lifestyle. Most of the member states already have, or currently have, physical activity recommendations, or some of them are being at the development stage. Key findings. There is a general trend the use of the WHO Global Recommendations, which indicates a common scientific consensus on the importance of physical activity and sustainable nature of these recommendations in the global health context. In addition, coordination of national health monitoring programs will allow monitor progress towards both national and global goals of physical activity and reduction of the sedentary lifestyle. It a significant component of assessment the effectiveness of national view and programs on solving issues related to the health of the nation.

Microbial Diseases of Laboratory Animals and its monitoring Tools

Microbial diseases pose significant challenges in experimental research, impacting both animal welfare and research outcomes. The review covers a wide range of microbial pathogens, including bacteria, viruses, fungi, and parasites, that commonly affect laboratory animals. It explores the etiology, pathogenesis, and clinical manifestations associated with these pathogens, highlighting their influence on experimental results. Extensively discussed about the monitoring assays employed for microbial disease detection in experimental animals. Traditional and modern techniques are considered, including microbiological culturing, serological assays, molecular diagnostics, histopathology, and advanced imaging methods. Regular health monitoring programs for laboratory animals, emphasizing the significance of early detection and intervention to prevent disease outbreaks and maintain animal welfare. Emerging trends and technologies in microbial disease monitoring, such as next-generation sequencing, metagenomics, and high-throughput screening, are also explored. This review aims to provide researchers, laboratory animal professionals, and regulatory authorities with a comprehensive resource for understanding microbial diseases in experimental animals and selecting appropriate monitoring assay. For the Scientists and Veterinarians this overall review gives a glimpse for implementing effective monitoring strategies, identifying and managing microbial diseases, ensuring the well-being of laboratory animals. The synthesis of current knowledge and best practices will enhance the scientific rigor and reproducibility of experimental studies involving animals. In conclusion, this review emphasizes the critical importance of microbial disease monitoring in experimental animals. Robust and accurate monitoring assays enable researchers to effectively detect and manage microbial diseases, safeguarding animal health and ensuring reliable research outcomes.

The main causative factor of increased mortality rate in experimental rat

Rats are still often used in vital areas of biological study. Animal management, behavior, compliance and technical processes directly relevant to research projects are just a few of the many duties placed on the shoulders of those conducting such studies. This study was designed to fill a gap in the literature by providing a rapid reference source for researchers and animal care takers responsible for the care and/or usage of rats in research settings, since no prior study has detailed the death rate of experimental rats. A total of 103 adult wister albino rats, aged (12-15) weeks, were included in this study. The rats were subjected to orthodontic treatment using a metal spring coil measuring 6 mm in length, with force of 100 gm. to induce tooth movement. The experimental study involved a total of 56 rats, with 47 rats being excluded from the study due to mortality during the course of the study. The total death rate was determined. The greatest fatality rate was found to be 32%, and it was caused by rats related factors. The anesthetic death rate was 23%. The mortality rate in a controlled laboratory environment was 26%. The lowest cause of death rate was found to be the environmental factors at 19%. To maintain the reliability and repeatability of study results, it is crucial to implement a health monitoring programme for the experimental rat, whose death rate may be significantly impacted by factors such as biological diversity, stress, and an exhausted mechanism.

Prevalence and diversity of gastrointestinal parasites on pig farms in Kalasin Province, Thailand.

Gastrointestinal (GI) parasite infections are the foremost and prevalent diseases that affect pigs in Thailand. This study aimed to determine the prevalence of GI parasites among pigs in Kalasin Province. This study is the first attempt to understand the occurrence of GI parasites in pigs within Kalasin province using fecal samples as the methodology. We collected 324 fecal samples directly from the rectums of pigs from May to July 2023. The formalin-ethyl acetate concentration and floatation methods were used to examine these samples. The eggs or oocysts were identified by observing their morphology and size under a light microscope. Of the 324 fecal samples examined, 276 tested positive for gastrointestinal parasitic infections, resulting in a prevalence rate of 85.19%. Nematodes were the most prevalent, with Strongyle-type infections being the highest in 267 cases (82.41%), followed by Ascaris suum in 222 cases (68.52%), and Trichuris spp. in 152 cases (46.91%). Strongyloides spp. infections were also observed in 92 cases (28.40%). However, trematode infection was relatively rare, with only Fasciola spp. found in 15 cases (4.63%). We identified Eimeria spp. in 87 cases (26.85%), Iodamoeba spp. in 70 cases (21.60%), Balantidium coli in 67 cases (20.68%), and Isospora spp. in 52 cases (16.05%). Notably, most of the positive fecal samples showed double infections with a prevalence rate of approximately 38.27%. Single infections were the next most common, accounting for 25.31% of the cases, followed by 3 parasites (14.81%) and 4-5 parasites (6.79%). This study underscores the high endemicity of GI parasites among pigs in Kalasin province. To improve prevention and control measures, it is recommended to establish a health monitoring program that includes deworming and emphasizes good hygiene practices. The insights gained from this study will contribute to the enhancement of pig farming practices in Kalasin province, ultimately leading to improved production and profitability. In addition, future research should focus on detecting these parasites in Kalasin and exploring their relationship with human transmission cycle.

A Biodegradable and Flexible Triboelectric Nanogenerator Based on Human Motion Monitoring

Chronic diseases have now become a societal issue globally; early detection and monitoring of these diseases are essential. Herein, a wireless intelligent health monitoring system has been developed, which includes a flexible, biodegradable eggshell membrane‐based triboelectric nanogenerator (EM‐TENG), a Bluetooth transmitting sensing terminal wirelessly, and an intelligent terminal processing digital signal reception from a host computer. This study uses natural fiber‐rich and biodegradable EMs to fabricate high‐performance friction nanogenerators. The EM‐TENG can be attachable to the neck, elbow, wrist, and waist, and convert mechanical contact into electrical output signals. By analyzing these signals, EM‐TENG can monitor and distinguish body postures, offer warnings about abnormal cervical flexion and extension, and assess the quality shot put throw motions accurately and continuously. These functions provide personal health monitoring and athletic program training monitoring for alerting and displaying through terminal devices. The devices are crucial for monitoring and rectifying motion patterns in younger individuals and certain patient groups. EM‐TENG is a wearable motion monitoring sensor, which provides a new strategy to human health, motion monitoring, and smart sports training.