Crop contamination evaluation by antimicrobial-resistant bacteria via livestock waste compost-fertilized field soil.

Antimicrobial-resistant bacteria, selected by antimicrobial agent use in livestock, are emerging and their spread to crops from feces via composting represents a public health concern as they are ultimately transmitted to humans. In this study, we investigated Escherichia coli and other ampicillin (AMP)-resistant coliform spread conditions in field soil and dent corn, an agricultural crop, on a livestock-derived compost-applying farm. No AMP-resistant E. coli was detected in any samples of field soil and dent corn. In contrast, AMP-resistant and extended-spectrum ß-lactam (ESBL) producing coliforms were consistently present in field soil and dent corn during the entire study period. In particular, extremely high AMP-resistant coliform levels were detected in dent corn stems and roots. AMP-resistant coliform detection in crops is pivotal and raises significant concerns regarding antimicrobial-resistant bacterial spread. Furthermore, AMP-resistant coliform isolate identification defined Enterobacter bugandensis and Enterobacter asburiae as the dominant species among AMP-resistant coliforms, both tested positive for ESBL production. This means that high concentrations of AMP-resistant coliforms are to be present on farms where crops are grown. However, we identified no common species among the AMP-resistant coliforms in the compost, field soil, and dent corn samples. Therefore, the initial hypothesis of the compost being the source of antimicrobial-resistant bacteria was not confirmed. Although their source remains unknown, a certain antimicrobial-resistant bacterial concentration could nonetheless be detected in the field.

Distribution of tetracyclines and sulfonamides resistance genes around a smallholder pig farm: Modeling and attribution.

Livestock farm is a major source of antibiotics and antibiotic resistance genes (ARGs) pollution. ARGs can directly enter the environment through runoff and air deposition. The impact extent and the driving factors require further investigation to inform effective policies and actions to mitigate their spread. This study investigated a smallholder pig farm and its surrounding areas to understand the spread of ARGs. Topsoil samples were collected from 56 different sites within one kilometer of the farm, and a comprehensive analysis was conducted to reveal effects of soil properties, antibiotic residues, microbiome, mobilome on the variation of typical ARGs. The results confirmed that the ARGs reduced exponentially with increasing distance from the farm, with a goodness of fit (R2) of 0.7 for total ARGs. For tetracyclines (TC) and sulfonamides (SA) resistance genes, the fitting R2 exceeded 0.9. Model estimates allowed for quantitative comparisons of in-farm increments, out-farm background levels, and spread abilities of ARGs with distinct resistance mechanisms. SA-specific resistance genes (SRGs, 0.097 copies/16S rRNA gene) and TC-specific resistance genes (TRGs, 0.036 copies/16S rRNA gene) showed higher within-farm increases compared to multidrug resistance genes (MDRGs, 0.020 copies/16S rRNA gene). MDRGs, however, had a higher background level and a greater impact distance (0.18 km, 4.4 times the farm radius). Additionally spread abilities of TRGs varied by resistance mechanism, with ribosome protection proteins showing greater spread than TC inactivating enzymes and TC efflux pumps, likely due to different fitness costs. Correlation analysis and structural equation modeling indicated that changes in bacterial community composition and mobilome are primary factors influencing ARGs variation during their spread. Abiotic factors like soil nutrients and antibiotics also selectively enriched ARGs within the farm. These findings provide insights into the ARGs dissemination and could inform strategies to prevent their spread from smallholder livestock farms.

A review of conditions influencing fate of Shiga toxin-producing Escherichia coli O157:H7 in leafy greens.

The accuracy of predictive microbial models used in quantitative microbial risk assessment (QMRA) relies on the relevancy of conditions influencing growth or inactivation. The continued use of log-linear models in studies remains widespread, despite evidence that they fail to accurately account for biphasic kinetics or include parameters to account for the effect of environmental conditions within the model equation. Although many experimental studies detail conditions of interest, studies that do not do so lead to uncertainty in QMRA modeling because the applicability of the predictive microbial models to the conditions in the risk scenarios is questionable or must be extrapolated. The current study systematically reviewed 65 articles that provided quantitative data and documented the conditions influencing the inactivation or growth of Shiga toxin-producing Escherichia coli (STEC) O157:H7 in leafy greens. The conditions were identified and categorized as environmental, biological, chemical, and/or processing. Our study found that temperature (n = 37 studies) and sanitizing and washing procedures (n = 12 studies) were the most studied conditions in the farm-to-table continuum of leafy greens. In addition, relative humidity was also established to affect growth and inactivation in more than one stage in the continuum. This study proposes the evaluation of the interactive effects of multiple conditions in processing and storage stages from controlled experiments as they relate to the fate of STEC O157:H7 in leafy greens for future quantitative analysis.

Association between antimicrobial usage and resistance on commercial broiler and layer farms in Bangladesh.

Antimicrobial resistance has emerged as a significant health problem worldwide, including in Bangladesh, where chickens are an important protein source for human nutrition. One of the factors accelerating the development of antimicrobial resistance is the inappropriate use of antimicrobials on commercial chicken farms. A cross-sectional study was conducted in 2019 on 140 commercial chicken farms in the Chattogram district of Bangladesh to investigate the association between antimicrobial use and resistance in Escherichia coli and Salmonella spp. cultured from cloacal swabs of chickens and from the poultry shed environment. All E. coli and Salmonella spp. isolates were resistant to multiple antimicrobial classes, including those categorized as "Highest Priority Critically Important Antimicrobials" for human medicine. Notably, resistance was observed in E. coli isolates from farms that did not use these antimicrobial classes in the current production cycle. For example, although quinolones were not used on 43.9% of E. coli positive farms, 95.7% of these farms had quinolone-resistant E. coli isolates. The results of the path analysis revealed that there was a "direct effect" of the frequency of antimicrobial usage on "high" resistance, with resistance increasing when antimicrobials were administered more frequently (ß = 0.28, p = 0.002). There was a "direct effect" of the purpose of antimicrobial use on "low" resistance, with resistance marginally decreasing when antimicrobials were administered solely for therapeutic use (ß = -0.17, p = 0.062), but increasing when they were used prophylactically. Overall, the study results could be used to educate farmers on better practices for antimicrobial administration, and to guide government agencies to update policies on antimicrobial use and resistance surveillance in the poultry sector of Bangladesh.

Escherichia coli from healthy farm animals: Antimicrobial resistance, resistance genes and mobile genetic elements.

The use of antibiotics in agriculture and subsequent environmental pollution are associated with the emergence and spread of multidrug-resistant (MDR) bacteria including Escherichia coli. The aim of this study was to detect antimicrobial resistance, resistance genes and mobile genetic elements of 72 E. coli strains isolated from faeces of healthy farm animals. Disk diffusion test showed resistance to ampicillin (59.7%), tetracycline (48.6%), chloramphenicol (16.7%), cefoperazone and ceftriaxone (13.9%), cefepime and aztreonam (12.5%), norfloxacin and ciprofloxacin (8.3%), levofloxacin (6.9%), gentamicin and amikacin (2.8%) among the studied strains. Antibiotic resistance genes (ARGs) were detected by polymerase chain reaction: the prevalence of blaTEM was the highest (59.7% of all strains), followed by tetA (30.6%), blaCTX-M (11.1%), catA1 (9.7%), less than 5% strains contained blaSHV, cmlA, floR, qnrB, qnrS, tetM. 26.4% of E. coli strains had a MDR phenotype. MDR E. coli more often contained class 1 integrons, bacteriophages, conjugative F-like plasmids, than non-MDR strains. ARGs were successfully transferred from faecal E. coli strains into the E. coli Nissle 1917 N4i strain by conjugation. Conjugation frequencies varied from (1.0 ± 0.1) * 10-5 to (7.9 ± 2.6) * 10-4 per recipient. Monitoring mobile genetic elements of E. coli for antibiotic resistance is important for farm animal health, as well as for public health and food safety.

Offshore wind farm operation contributed to a slight improvement in seawater quality along the Jiangsu Coast, China.

The rapid growth of offshore wind farms (OWFs) is driven by concerns for energy security and climate change mitigation. However, their impact on marine environments remains poorly understood due to limited research. This study analyzes the effects of an OWF along China's Jiangsu Coast on seawater quality using data from different development phases. Results show the major pollutants were different across phases. Heavy metal pollution reached alert levels during construction compared to the safe levels observed in the pre-construction and operational phases, mainly due to increases in Pb, Cd, and Hg concentrations. Eutrophication was mild throughout all periods but exhibited a continuous decrease, primarily attributed to reductions in PH and COD concentrations. As a result, the comprehensive pollution level during construction was increased, but it was improved to a clean level during the operational phase. Besides, significant variations were observed in the spatial distribution patterns of major pollutant indices across different scenarios. These changes may stem from a combination effect of land-based pollution, aquaculture, OWF-induced disturbances to atmosphere and hydrodynamics, OWF-related drain and leakage contamination, and marine management policies. Understanding these effects informs OWF optimization, rational wind resource utilization, and marine ecology protection.

A Scoping Review on the Impact of COVID 19 on Vulnerable Populations: LGBTQ+ Persons, Persons Experiencing Homelessness, and Migrant Farm Workers in the US.

Purpose: The goal of the National Center for Medical Education Development and Research Center (NCMEDR) is to support the education and training of medical students in the care of vulnerable populations. Access to primary care services in the US is fundamental to the health and wellness of all people regardless of their socioeconomic status. LGBQ+ persons, (lesbian, gay, bisexual, transgender, queer, and other sexual and gender minority), Persons Experiencing Homelessness (PEH), and Migrant Farm Workers (MFW) are among the most underserved, marginalized, and socially vulnerable groups in the US. NCMEDR in the Department of Family and Community Medicine at Meharry Medical College was established in part, with funding from the Department of Health and Human Services (DHHS) and the Health Resources and Services Administration (HRSA). NCMEDR was developed to provide educational pathways for transforming medical education and clinical practice in the US by ascertaining whether medical students were being trained to provide primary care, and behavioral health services to LGBTQ+ persons, PEH, and MFW. Here we focus on the impact of the COVID-19 pandemic on these specific populations because they represent marginalized groups that have been heavily impacted by the pandemic, have poor social determinants of health (SDOH), and are more likely to be uninsured, and are less likely to engage primary care providers outside of emergency room care. Methods: In this study, a scoping literature review was conducted to assess the impact of COVID-19 on primary care of LQBTQ+ persons, PEH, and MFW. Results and Discussion: The pandemic provided a serious health disparities gap for the defined vulnerable populations under review by the NCMEDR. The pandemic identified the need for transformative measures for clinical practices, medical education, and health care policies required for implementation to improve health care for vulnerable groups. We make recommendations for interventions with defined populations that may influence clinical, environmental health, and SDOH in the COVID era. Conclusions: The COVID pandemic directed the need for medical schools, health care and social organizations to intervene in new and different ways in vulnerable and marginalized communities. The recommendations provide a model for advancing health equity, access, quality, utilization, care coordination, and treatment.

Research Note: Effects of on-farm and hatchery hatching on broiler performance, intestinal lesions, and immune response during a subclinical necrotic enteritis challenge.

The effects of traditional and on-farm hatching systems on broiler performance and health under a subclinical necrotic enteritis (NE) challenge were evaluated in this study. A 2×2 factorial study explored the effects of place of hatch (on-farm hatched [OFH] vs. hatchery hatched [HH]) and NE challenge (nonchallenged vs. challenged) on broilers. Cobb 500 eggs (∼E19) were acquired from a commercial hatchery; 840 eggs were placed in pens on clean shavings in prewarmed floor pens and allowed to hatch out, while 927 eggs were placed in a hatcher set under standard practices. On day (d) of hatch, all chicks were weighed and randomly distributed to 4 treatments (8 replicate pens each and 30 birds/pen). The OFH birds were placed immediately after sorting while HH birds were placed back in the hatcher overnight to simulate commercial hatchery procedures. After placing HH birds, feed and litter in the challenge group pens were sprayed with a live oocyst coccidia vaccine as a predisposing factor to NE. The small intestines of 3 male chicks per pen were scored for NE lesions (n = 24) on d 8 (peak NE challenge) and jejunal samples were collected from 1 bird per pen for RNA extraction and qPCR on d 8 and d 14. Data were analyzed using JMP Pro17 and significance between treatments was identified by LSD (P ≤ 0.05). Regardless of the hatching system, the subclinical NE challenge caused a significant reduction in average daily gain (ADG) and average daily feed intake (ADFI), and increased feed conversion ratio (FCR) until d 28 (P ≤ 0.05). Moreover, OFH birds exhibited significantly better growth (P ≤ 0.05) through d 28 but had similar performance to HH birds by d 42. There were no significant differences in NE lesion scores between HH and OFH groups. In conclusion, OFH system resulted in better broiler performance compared to HH system under both no-challenge and challenge conditions during the starter and grower periods. This practice may hold potential for further exploration by the industry as an alternative to traditional hatching, aiming to improve the welfare and productivity of broilers.

Influence of rainfall on size-resolved bioaerosols around a livestock farm.

Bioaerosols, capable of transporting microorganisms, can impact human health and agriculture by spreading to nearby communities. Their transmissions are influenced by various factors, including weather conditions and human activities. However, the scarcity of detailed, taxon-specific data on bioaerosols' sizes limits our ability to assess risks associated with bioaerosols' generation and spread. This study examined the composition and size of bioaerosols at a livestock farm and a non-agricultural site, focusing on how bioaerosols evolve at different locations and meteorological conditions. The location had an impact on bioaerosol samples. We conducted 16S rRNA gene amplicon sequencing to identify bacteria genera in bioaerosols. We observed consistently higher concentrations of bioaerosols across all sizes at the livestock farm, and samples from the livestock farm exhibited greater bacterial diversity, where we identified Staphylococcus and Corynebacterium as the most abundant species. The effects of rainfall on bioaerosol diversity are complex, suggesting a dynamic interplay between bioaerosol removal and generation. After rainfall, the bioaerosol fraction of particles larger than 2.5 µm increased by nearly 400% compared to post-rain levels. Conversely, for bioaerosols below 1 µm size, the fraction decreased by 50%. Furthermore, the sequencing results showed that precipitation differentially responded to the abundance of various genera in the bioaerosols. Moreover, even for the same genus, the response to precipitation varied depending on the size of the bioaerosols. Our research reveals how size, location, and environmental conditions influence bioaerosol dynamics, enhancing our understanding of bioaerosol formation and transmission.

A comprehensive review of antibiotic resistance gene contamination in agriculture: Challenges and AI-driven solutions.

Since their discovery, the prolonged and widespread use of antibiotics in veterinary and agricultural production has led to numerous problems, particularly the emergence and spread of antibiotic-resistant bacteria (ARB). In addition, other anthropogenic factors accelerate the horizontal transfer of antibiotic resistance genes (ARGs) and amplify their impact. In agricultural environments, animals, manure, and wastewater are the vectors of ARGs that facilitate their spread to the environment and humans via animal products, water, and other environmental pathways. Therefore, this review comprehensively analyzed the current status, removal methods, and future directions of ARGs on farms. This article 1) investigates the origins of ARGs on farms, the pathways and mechanisms of their spread to surrounding environments, and various strategies to mitigate their spread; 2) determines the multiple factors influencing the abundance of ARGs on farms, the pathways through which ARGs spread from farms to the environment, and the effects and mechanisms of non-antibiotic factors on the spread of ARGs; 3) explores methods for controlling ARGs in farm wastes; and 4) provides a comprehensive summary and integration of research across various fields, proposing that in modern smart farms, emerging technologies can be integrated through artificial intelligence to control or even eliminate ARGs. Moreover, challenges and future research directions for controlling ARGs on farms are suggested.

ESBL Producing E. coli in Chickens and Poultry Farms Environment in Selangor, Malaysia: A Cross-Sectional Study on Their Occurrence and Associated Risk Factors With Environment and Public Health Importance.

INTRODUCTION: Extended-spectrum ß-lactamase-producing Escherichia coli (ESBL-EC) are widespread multidrug-resistant zoonotic bacteria that threaten animal production, food safety and antimicrobial therapy worldwide including Malaysia. Poultry has been reported as one of the pathways for human exposure to ESBL-EC. There has been little research on the occurrence of ESBL-EC within the Malaysian poultry food chain. Hence, the objectives of the study were to determine the occurrence of ESBL-EC in chickens and to identify the potential risk factors associated with their occurrence in poultry farms. METHODS: A cross-sectional study was conducted on 400 samples, consisting of 240 cloacal swabs from chickens and 160 from poultry farms environments in eight districts in Selangor, Malaysia using culture and disk combination methods and multiple polymerase chain reaction assays. In the determination of possible factors associated with the presence of ESBL-EC at poultry farms, a questionnaire was used to obtain the information and data. RESULTS: The findings demonstrated the wide distribution of ESBL-EC in all the farms with an overall occurrence of 37.2%. Farms in Gombak, Klang and Hulu Selangor had the highest occurrence rates at 62%, 50% and 50%, respectively, followed by farms in Petaling 38%, Sepang at 34%, Kuala Langat at 26% and Kuala Selangor at 24%, and the lowest was in Hulu Langat 14%. Among the study samples, chickens had the highest occurrence rate at 45.4%, followed by chicken house floors at 40% and flies at 30%, while feed and water samples at 17.5% and 12.5%, respectively. The present study indicated the high occurrence and wide dissemination of ESBL-EC in chickens and poultry farms environment. The ESBL-EC occurrence was associated with several factors including imprudent use of antibiotics, poor husbandry, management and biosecurity practices at the farms. CONCLUSIONS: Our study showed the presence and spread of ESBL EC among chickens in the farms and their environment; this may lead to being spread to outside of farm environment by flies, vermins, flying birds, litter and farm wastes and possibly to humans upon contact with the contaminated environment and by poultry meat. Thus, the findings of the study can assist to serve as a piece of useful information to veterinary authority in designing evidence-based mitigation strategies for the control of ESBL-EC in poultry farms.

Sheep and goats as reservoirs of colistin-resistant E. coli: first detection of ETEC ST10 and E. coli ST6396 mcr-1 positive strains in North Africa.

AIM: This study aimed to screen and characterize colistin-resistant strains isolated from different livestock species in Algeria, including sheep, goats, and dromedaries. METHODS AND RESULTS: A total of 197 rectal and nasal swabs were screened for colistin-resistant Gram-negative bacilli. Twenty one isolates were selected, identified, and their antibiotic resistance was phenotypically and genotypically characterized. The majority (15/21) were affiliated to Escherichia coli, from which 4 strains isolated from sheep (n = 2) and goats (n = 2) and belonging to phylogroup A and ST10 and ST6396 lineages, respectively, carried the mcr-1 gene. The remaining isolates were identified as belonging to the following genera: Raoultella, Enterobacter, Klebsiella, and Pseudomonas. CONCLUSION: This study highlights the presence of virulent and multiresistant Gram-negative bacilli in farm animals, increasing the risk of transmitting potentially fatal infections to humans.

Treatment of water extract of green tea during kale cultivation using a home vertical farming appliance conveyed catechins into kale and elevated glucosinolate contents.

The growing interest in healthy diets has driven the demand for food ingredients with enhanced health benefits. In this study, we aimed to explore a method to enhance the bioactivity of kale using a home vertical farming appliance. Specifically, we investigated the effects of treating kale with a green tea water extract (GTE; 0.1-0.5 g/L in nutrient solution) for two weeks before harvest during five weeks of kale cultivation. GTE treatment did not negatively affect the key quality attributes, such as yield, semblance, or sensory properties. However, it led to the accumulation of bioactive compounds, epicatechin (EC) and epigallocatechin gallate (EGCG), which are typically absent in kale. In the control group, no catechins were detected, whereas in the GTE-treated group, the concentration of EC and EGCG were as high as 252.11 and 173.26 µg/g, respectively. These findings indicate the successful incorporation of catechins, known for their unique health-promoting properties, into kale. Additionally, GTE treatment enhanced the biosynthesis of glucosinolates, which are key secondary metabolites of kale. The total glucosinolate content increased from 9.56 µmol/g in the control group to 16.81 µmol/g in the GTE-treated group (treated with 0.5 g/L GTE). These findings showed that GTE treatment not only enriched kale with catechins, the primary bioactive compounds in green tea but also increased the levels of glucosinolates. This study, conducted using a home vertical farming appliance, suggests that bioactivity-enhanced kale can be grown domestically, providing consumers with a nutrient-fortified food source.

Bacterial Communities of House Flies from Dairy Farms Highlight Their Role as Reservoirs, Disseminators, and Sentinels of Microbial Threats to Human and Animal Health.

Adult house flies (Musca domestica L.) inhabiting dairy farms not only are nuisance pests but also harbor and disseminate bacteria. We examined the bacterial community composition, diversity, environmental sources, and prevalence in individual adult female house flies and cattle manure samples collected monthly from Florida, North Carolina, and Tennessee dairy farms between May and August 2021. Individual house flies carried diverse bacterial communities, encompassing all bacterial taxa (100%) identified across manure samples, and additional species likely acquired from the animals. Bacterial community assemblage in house flies and manure samples within farms varied by month. Some taxa were differentially associated with either house flies (Corynebacterium, Acinetobacter, and Staphylococcus) or manure samples (Treponema, Succinivibrio, and Clostridia). House fly bacterial communities mostly contained specialist species originating from manure, with several taxa (Escherichia, Corynebacterium, Turicibacter) being potential pathogens of livestock and humans. These findings further support the role of house flies as carriers of cattle-associated bacteria, including pathogens, and their potential for disseminating these microbes among cattle and to neighboring environments. Since their bacterial communities provide a snapshot of their surrounding environment, house flies also serve as effective sentinels in xenosurveillance strategies.

An agroecological approach to preparation and use of a milk protein production baseline.

Commercial dairy production occurs in a complex management environment, but increasingly, the dairy manager is expected to provide detailed reporting of productivity and environmental outcomes, for which conventional research methods double-blind crossover or case:control trials are inappropriate. This paper demonstrates the development of a milk protein production monitoring tool using a temporal (baseline) control in longitudinal, census-type investigations of modulation of system performance in response to factor change. It utilises farm-derived current and historical data, and contrasts seasonal responses with those achieved on neighbouring farms in a 2 × 2 contingency table. The approach is then shown to be useful in assessing the effect of two approaches to moderating milk urea concentration. Firstly, milk urea content can be monitored as it falls due to reduced feed protein content, and this fall can be arrested when milk protein content starts to decline relative to the value expected for the herd at any lactation stage. Secondly, by providing a dietary intervention aimed at increasing the availability of metabolic energy in the last month before calving, udder development can be augmented, leading to greater protein secretion capacity, meaning greater utilisation of circulating amino acids, and thus more limited substrate for urea synthesis. Thus, the changing impact of differing nutrition practices on dairy herd nitrogen excretion to environment can be followed with daily precision. In principle this approach can provide useful insights into a wide range of practical management interventions.

Spatial patterns of influenza A virus spread across compartments in commercial swine farms in the United States.

Multiple genetic variants of H1 and H3 influenza A viruses (IAVs) circulate concurrently in US swine farms. Understanding the spatial transmission patterns of IAVs among these farms is crucial for developing effective control strategies and mitigating the emergence of novel IAVs. In this study, we analysed 1909 IAV genomic sequences from 785 US swine farms, representing 33 farming systems across 12 states, primarily in the Midwest from 2004 to 2023. Bayesian phylogeographic analyses were performed to identify the dispersal patterns of both H1 and H3 virus genetic lineages and to elucidate their spatial migration patterns within and between different systems. Our results showed that both intra-system and inter-system migrations occurred between the swine farms, with intra-system migrations being more frequent. However, migration rates for H1 and H3 IAVs were similar between intra-system and inter-system migration events. Spatial migration patterns aligned with expected pig movement across different compartments of swine farming systems. Sow-Farms were identified as key sources of viruses, with bi-directional migration observed between these farms and other parts of the system, including Wean-to-Finish and Gilt-Development-Units. High intra-system migration was detected across farms in the same region, while spread to geographically distant intra- and inter-system farms was less frequent. These findings suggest that prioritizing resources towards systems frequently confronting influenza problems and targeting pivotal source farms, such as sow farms, could be an effective strategy for controlling influenza in US commercial swine operations.

Mother-Daughter Vessel Operation and Maintenance Routing Optimization for Offshore Wind Farms Using Restructuring Particle Swarm Optimization.

As the capacity of individual offshore wind turbines increases, prolonged downtime (due to maintenance or faults) will result in significant economic losses. This necessitates enhancing the efficiency of vessel operation and maintenance (O&M) to reduce O&M costs. Existing research mostly focuses on planning O&M schemes for individual vessels. However, there exists a research gap in the scientific scheduling for state-of-the-art O&M vessels. To bridge this gap, this paper considers the use of an advanced O&M vessel in the O&M process, taking into account the downtime costs associated with wind turbine maintenance and repair incidents. A mathematical model is constructed with the objective of minimizing overall O&M expenditure. Building upon this formulation, this paper introduces a novel restructuring particle swarm optimization which is tailed with a bespoke encoding and decoding strategy, designed to yield an optimized solution that aligns with the intricate demands of the problem at hand. The simulation results indicate that the proposed method can achieve significant savings of 28.85% in O&M costs. The outcomes demonstrate the algorithm's proficiency in tackling the model efficiently and effectively.

"They Can't Possibly Understand What I'm Going Through": Female Farmers' Perspectives on Barriers to Care in Georgia.

The purpose of this study was to explore female farmers' perspectives on barriers to engaging with resources for physical and mental healthcare faced by agriculture producers in the state of Georgia. In-depth interviews were conducted with female farm owners and managers (n = 16) across the state. Interviews were recorded and transcribed, and researchers coded interviews separately before thematic analysis was used to identify common themes. Three primary themes were identified: (i) formal healthcare challenges, (ii) stigma, and (iii) cultural norms. Formal healthcare challenges included time constraints, healthcare costs, and a lack of cultural competence from healthcare providers. Both community and self-stigma were identified as barriers to engaging with mental health resources. Cultural norms that acted as a barrier to care included the prioritization of farm operations, self-reliance, pride, and the minimization of health concerns. Interviewees identified gender differences in the impact of stigma and cultural norms, reporting that these sociocultural barriers were more prominent among older, male producers. Central to many of these barriers is the concept of 'farm identity', where farmers' commitment to their operations consistently trumped concerns about physical or mental health. Future efforts to improve health outcomes among farmers should utilize the concept of farm identity as a guide for tailoring interventions and improving cultural competence among rural healthcare providers.

An Improved Instance Segmentation Method for Complex Elements of Farm UAV Aerial Survey Images.

Farm aerial survey layers can assist in unmanned farm operations, such as planning paths and early warnings. To address the inefficiencies and high costs associated with traditional layer construction, this study proposes a high-precision instance segmentation algorithm based on SparseInst. Considering the structural characteristics of farm elements, this study introduces a multi-scale attention module (MSA) that leverages the properties of atrous convolution to expand the sensory field. It enhances spatial and channel feature weights, effectively improving segmentation accuracy for large-scale and complex targets in the farm through three parallel dense connections. A bottom-up aggregation path is added to the feature pyramid fusion network, enhancing the model's ability to perceive complex targets such as mechanized trails in farms. Coordinate attention blocks (CAs) are incorporated into the neck to capture richer contextual semantic information, enhancing farm aerial imagery scene recognition accuracy. To assess the proposed method, we compare it against existing mainstream object segmentation models, including the Mask R-CNN, Cascade-Mask, SOLOv2, and Condinst algorithms. The experimental results show that the improved model proposed in this study can be adapted to segment various complex targets in farms. The accuracy of the improved SparseInst model greatly exceeds that of Mask R-CNN and Cascade-Mask and is 10.8 and 12.8 percentage points better than the average accuracy of SOLOv2 and Condinst, respectively, with the smallest number of model parameters. The results show that the model can be used for real-time segmentation of targets under complex farm conditions.

Wild sympatric rodents inhabiting pig farm environments may facilitate the spillover of Enterocytozoon bieneusi from pig farms.

Enterocytozoon bieneusi is a zoonotic pathogen prevalent in mammalian and avian hosts across the globe. Wild small mammals, being abundant worldwide, serve as important sources of zoonotic disease transmission to humans. Here, 227 fecal samples were collected from five rodent and shrew species on 34 pig farms in China to investigate the prevalence and molecular characterization of E. bieneusi. The overall prevalence of E. bieneusi was 17.18% (39/227), with a distribution of 23.53% (32/136) in Rattus tanezumi, 8.62% (5/58) in Rattus norvegicus, and 8.00% (2/25) in Mus musculus. Eight E. bieneusi genotypes were identified, comprising four known genotypes: D (n = 8), EbpC (n = 8), PigEBITS7 (n = 9), and EbpA (n = 2), and four novel genotypes: CHPR1 (n = 7), CHPR2 (n = 1), CHPR3 (n = 2), and CHPR4 (n = 2). This study is the first to report E. bieneusi in rodents from pig farms in Henan, Shaanxi, and Shanxi Provinces in China. The host range of genotype EbpC was expanded with its first detection in M. musculus and R. tanezumi. All identified E. bieneusi genotypes belong to group 1, raising concerns about these sympatric rodents being reservoirs of zoonotic transmission. Moreover, the widespread distribution of genotype EbpC suggests potential cross-species transmission between sympatric rodents and domestic pigs. Our findings highlight the potential role of sympatric rodents in facilitating the spillover of E. bieneusi from pig farms, which could pose a potential public health threat.

Title: Les rongeurs sympatriques sauvages vivant dans les élevages porcins peuvent faciliter la propagation d'Enterocytozoon bieneusi. Abstract: Enterocytozoon bieneusi est un pathogène zoonotique répandu mondialement chez les hôtes mammifères et aviaires. Les petits mammifères sauvages, abondants dans le monde entier, constituent d'importantes sources de transmission de maladies zoonotiques à l'homme. Ici, 227 échantillons fécaux ont été collectés auprès de cinq espèces de rongeurs et de musaraignes dans 34 élevages porcins en Chine pour étudier la prévalence et la caractérisation moléculaire d'E. bieneusi. La prévalence globale d'E. bieneusi était de 17,18 % (39/227), avec une distribution de 23,53 % (32/136) chez Rattus tanezumi, 8,62 % (5/58) chez Rattus norvegicus et 8,00 % (2/25) chez Mus musculus. Huit génotypes d'E. bieneusi ont été identifiés, dont quatre génotypes connus (D (n = 8), EbpC (n = 8), PigEBITS7 (n = 9) et EbpA (n = 2)) et quatre génotypes nouveaux (CHPR1 (n = 7), CHPR2 (n = 1), CHPR3 (n = 2) et CHPR4 (n = 2)). Cette étude est la première à signaler la présence d'E. bieneusi chez des rongeurs provenant d'élevages porcins des provinces du Henan, du Shaanxi et du Shanxi en Chine. La gamme d'hôtes du génotype EbpC a été élargie avec sa première détection chez M. musculus et R. tanezumi. Tous les génotypes d'E. bieneusi identifiés appartiennent au groupe 1, ce qui soulève des inquiétudes quant au fait que ces rongeurs sympatriques soient des réservoirs de transmission zoonotique. De plus, la large distribution du génotype EbpC suggère une transmission interspécifique potentielle entre les rongeurs sympatriques et les porcs domestiques. Nos résultats soulignent le rôle potentiel des rongeurs sympatriques dans la facilitation de la propagation d'E. bieneusi à partir des élevages porcins, ce qui pourrait constituer une menace potentielle pour la santé publique.