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16 pages, 1105 KB  
Article
Dairy Sites with Milk Exposure Are Most Likely to Have Detection of Influenza A Virus
by Chloe Stenkamp-Strahm, Brian McCluskey, Blaine Melody, Natalie Urie, Nicole Amey, Richanne Lomkin, A. J. Campbell, Seema Lakdawala and Jason Lombard
Microorganisms 2026, 14(3), 584; https://doi.org/10.3390/microorganisms14030584 - 5 Mar 2026
Abstract
Highly pathogenic avian influenza virus of the H5N1 subtype has been infecting U.S. dairy cattle and spreading among dairy operations since March 2024. H5N1 surveillance systems for dairies are needed, but information on whether environmental sampling can inform these systems is lacking. To [...] Read more.
Highly pathogenic avian influenza virus of the H5N1 subtype has been infecting U.S. dairy cattle and spreading among dairy operations since March 2024. H5N1 surveillance systems for dairies are needed, but information on whether environmental sampling can inform these systems is lacking. To guide a surveillance framework, we determined the environmental sites with Influenza A virus (IAV) detection on H5N1-affected dairies (n = 25) in four states (California, Colorado, Michigan, and Ohio) and explored sample characteristics that may have influenced detection. A total of 581 samples from dairy environmental sites were characterized for IAV RNA via rRT-PCR, and classified into six categories. A total of 94 samples (16.2%) had IAV detected, and the Ct values measured from these samples were typically higher than those measured in bulk tank milk from a subset of sampled herds. A majority of IAV detections were made from the following site categories: milking equipment/personal protective equipment, parlor surfaces, and wastewater/lagoons/manure. These results suggest that environmental sites most likely to be contaminated with IAV on dairies are those with exposure to milk. Meanwhile, mixed effect logistic modeling showed that days into an outbreak that samples were collected was associated with IAV detection. These results provide a framework within which to continue the assessment of environmental sampling as a surveillance tool for dairy H5N1. This framework can be strengthened by studies that perform further IAV viral characterization and collect samples from sites prior to, during, and after H5N1 outbreak periods. Full article
(This article belongs to the Special Issue Surveillance of Pathogens in the Environment)
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33 pages, 972 KB  
Article
A Unified Framework for Detection of ADHD Using EEG Signals and Coherent Models
by Sunil Kumar Prabhakar and Dong-Ok Won
Mathematics 2026, 14(5), 871; https://doi.org/10.3390/math14050871 - 4 Mar 2026
Abstract
A behavioral and neuropsychological disorder that develops in young children during their early school years is called attention-deficit hyperactivity disorder (ADHD). When young children are diagnosed with ADHD, they have a tendency not to concentrate on academic and extracurricular activities. Moreover, children affected [...] Read more.
A behavioral and neuropsychological disorder that develops in young children during their early school years is called attention-deficit hyperactivity disorder (ADHD). When young children are diagnosed with ADHD, they have a tendency not to concentrate on academic and extracurricular activities. Moreover, children affected with ADHD suffer from mood swings, so it becomes quite difficult for them to establish good connections with teachers and friends. In the field of clinical research, deploying Electroencephalography (EEG) signals, a rapid and accurate diagnosis of ADHD is essential so that an effective treatment can be given to the children affected with ADHD. In this work, a unified framework is proposed for the detection of ADHD using EEG signals and some coherent models. The framework initially employs the concept of normalization of EEG signals, followed by the usage of dimensionality reduction techniques such as Local Linear Embedding (LLE), Sammon Mapping (SM) and Locally Linear Coordination (LLC). The dimensionally reduced EEG values are further clustered using four techniques such as spectral clustering, K-means clustering, Fuzzy C-means (FCM) clustering, Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN), and finally, silhouette coefficient analysis is used to analyze the clustering effectiveness. The features are then extracted from the clustered values using an Improved Wavelet Transform (IWT) and then the features are selected with four efficient techniques such as the chi-squared test, Mutual Information (MI), Mahalanobis analysis and Binary Horse Herd Optimization (BHHO) techniques. Finally, the selected values are fed into classifiers for classification with the help of ten traditional machine learning classifiers. The work is tested on a publicly available ADHD dataset and the analysis shows that the best results are obtained when the LLC dimensionality reduction is utilized with FCM clustering and IWT feature extraction, BHHO feature selection, and classified with LGBA classifier reporting a high classification accuracy of 98.12%. Full article
(This article belongs to the Special Issue Mathematical Methods for Signal Analysis)
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17 pages, 893 KB  
Review
A Pocket Manual for Human Papillomavirus Vaccines
by Natalie A. Voss, J. Brooks Jackson and Mary B. Rysavy
Vaccines 2026, 14(3), 236; https://doi.org/10.3390/vaccines14030236 - 4 Mar 2026
Abstract
Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and is responsible for the majority of cervical, anal, and vaginal cancers. The first prophylactic HPV vaccine was introduced in the United States in 2006. Extensive evidence demonstrates the HPV vaccine is [...] Read more.
Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and is responsible for the majority of cervical, anal, and vaginal cancers. The first prophylactic HPV vaccine was introduced in the United States in 2006. Extensive evidence demonstrates the HPV vaccine is highly efficacious and effective, particularly when administered prior to HPV exposure. Despite strong safety data and proven cost-effectiveness, HPV vaccine uptake in the United States and globally remains suboptimal. Barriers to vaccination include limited knowledge, safety concerns, and logistical challenges. Current advancements focus on single-dose vaccine regimens, development of therapeutic vaccines, and higher-valent formulations. Expanding HPV vaccine coverage is essential to reduce HPV-related diseases, strengthen herd immunity, and advance cancer prevention efforts. Full article
(This article belongs to the Special Issue HPV Vaccination and Primary HPV Screening)
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16 pages, 384 KB  
Article
Metabolic and Reproductive Responses to Peripartum Feed Supplementation in Hyperprolific Gilts
by Julia Cantin, Carlos Cantin, Olga Mitjana, Maria Teresa Tejedor, Carlos Gil-Rubio, Ana Maria Garrido and Maria Victoria Falceto
Life 2026, 16(3), 416; https://doi.org/10.3390/life16030416 - 4 Mar 2026
Abstract
Gilts have a lower capacity for voluntary feed intake and body reserves than multiparous sows, which limits their ability to cope with the needs of gestation and lactation. In this study, a nutritional supplement was formulated to support gilts during the peripartum period. [...] Read more.
Gilts have a lower capacity for voluntary feed intake and body reserves than multiparous sows, which limits their ability to cope with the needs of gestation and lactation. In this study, a nutritional supplement was formulated to support gilts during the peripartum period. Both control (C, n = 64) and treatment (T, n = 63) groups received standard commercial diets. Group T received 300gr of supplement per gilt and day for the last 35 days of gestation until the fifth day of lactation. This supplement contained calcium (Ca; 4.1%), sodium (Na; 4.0%), lysine (Lys; 1.96%), methionine (Met; 1.32%), vitamin B12 (0.3 mg/kg), choline chloride (600 mg/kg), betaine (475 mg/kg), and L-carnitine (500 mg/kg). Supplementation significantly reduced (p < 0.050) stillbirth rate, neonatal diarrhea, postpartum hypophagia, and both β-hydroxybutyrate (BHBA) and creatinine (CREA) concentrations (effect sizes: 0.240–0.993). Also, supplementation significantly increased (p < 0.050) piglet weight at birth and at 15 days of lactation and maternal backfat thickness at 26 days of lactation (effect sizes: 0.491–0.719). The concentrations of BHBA and CREA showed significant and negative associations with several productive parameters (p < 0.05); the strength of the associations was low–medium. Targeted peripartum supplementation represents a feasible nutritional strategy for commercial herds characterized by large litter sizes and limited voluntary feed intake capacity. Full article
(This article belongs to the Section Animal Science)
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12 pages, 428 KB  
Article
Impact of Summer Calving on Milk Production, Reproduction, and Culling Risk in Organic Dairy Cattle
by Bhuwan Shrestha, Rajesh Neupane and Sushil Paudyal
Ruminants 2026, 6(1), 17; https://doi.org/10.3390/ruminants6010017 - 3 Mar 2026
Viewed by 41
Abstract
The objective of this study was to evaluate the impact of summer calving on reproductive performance, milk yield, and culling risk in U.S. organic dairy herds. Data were obtained from the Dairy Herd Improvement records of 434 organic dairy herds across 31 states, [...] Read more.
The objective of this study was to evaluate the impact of summer calving on reproductive performance, milk yield, and culling risk in U.S. organic dairy herds. Data were obtained from the Dairy Herd Improvement records of 434 organic dairy herds across 31 states, comprising 287,927 calving records from 2018 to 2022. Calving months were categorized as winter, spring, summer, or fall. Mixed models were used to analyze the 305 d milk yield, 305 d energy-corrected milk yield, peak milk DIM, peak test-day milk yield and logistic regression, and survival analyseswere applied to analyze calving difficulty, abortion, pregnancy diagnosis, and culling outcomes. Cows calving during summer had fewer days to first service and fewer days open compared with cows calving in other seasons; however, their odds of being diagnosed as pregnant were significantly lower. Summer-calving cows produced lower 305 d milk and energy-corrected milk yields, reached peak milk production later, and had a lower peak test-day milk yield. Calving during summer was also associated with increased odds of calving difficulty and a higher risk of culling. These findings indicate that summer calving poses distinct challenges for organic dairy cows, with cumulative effects on fertility, milk production, and survivability, underscoring the need for season-specific management strategies in organic dairy systems. Full article
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18 pages, 1650 KB  
Article
Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control and Elephant Herding Optimization
by Ehab H. E. Bayoumi, Hisham M. Soliman and Mostafa Soliman
Eng 2026, 7(3), 103; https://doi.org/10.3390/eng7030103 - 27 Feb 2026
Viewed by 192
Abstract
This paper introduces an enhanced load frequency regulation strategy for isolated renewable microgrids, leveraging an Active Disturbance Rejection Control (ADRC) framework optimized through Elephant Herding Optimization (EHO). A detailed microgrid model, encompassing a variety of energy generation and storage units, is implemented in [...] Read more.
This paper introduces an enhanced load frequency regulation strategy for isolated renewable microgrids, leveraging an Active Disturbance Rejection Control (ADRC) framework optimized through Elephant Herding Optimization (EHO). A detailed microgrid model, encompassing a variety of energy generation and storage units, is implemented in a simulation environment. The effectiveness of the proposed ADRC-EHO method was assessed through comparative analysis with established control techniques: Particle Swarm Optimization (PSO)-tuned ADRC and H∞ control under diverse operational scenarios. These scenarios included deterministic and stochastic load disturbances, as well as variations in microgrid parameters. The findings demonstrate that the ADRC-EHO approach consistently yields superior performance, with improved robustness and a more rapid response to frequency fluctuations. The optimization of ADRC parameters using EHO effectively countered the challenges of intermittent renewable energy integration. Full article
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27 pages, 369 KB  
Article
Cross-Firm Technological Linkages and Peer Effects on Corporate Governance
by Kailin Zeng, Qianyun Zhong, Mengxue Liu and Wen Kuang
Sustainability 2026, 18(5), 2298; https://doi.org/10.3390/su18052298 - 27 Feb 2026
Viewed by 107
Abstract
This study extends the literature on peer effects by revealing that technological linkages drive cross-firm emulation of corporate governance practices, a core determinant of firms’ sustainable development capacity. Using a comprehensive sample of China’s A-share listed firms over the period 2004–2022, we document [...] Read more.
This study extends the literature on peer effects by revealing that technological linkages drive cross-firm emulation of corporate governance practices, a core determinant of firms’ sustainable development capacity. Using a comprehensive sample of China’s A-share listed firms over the period 2004–2022, we document that R&D-intensive firms strategically extract governance insights from their technological peers. Our empirical analyses identify three distinct mechanisms underlying this governance emulation: information bridging, competitive isomorphism, and market feedback. Furthermore, this peer effect exhibits significant heterogeneity across firms with different corporate performance, R&D investment levels, and resource intensity. Notably, firms adopting peer-based governance practices experience a substantial improvement in financial performance, which reflects rational adaptation rather than blind herd behavior. Overall, this paper introduces technological peer relationship as a novel determinant of governance decisions and provides a micro-foundation for how firms optimize their governance arrangements to enhance long-term sustainable operation within technologically interdependent markets. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
15 pages, 9752 KB  
Article
B-Mode and Doppler Ultrasonographic Changes in the Corpus Luteum, Uterus, and Uterine Artery During Early Pregnancy in Cows
by Murat Can Demir, Merve Sena Demir, Burak Büyükbaki, Mushap Kuru, Semra Kaya and Cihan Kaçar
Life 2026, 16(3), 378; https://doi.org/10.3390/life16030378 - 27 Feb 2026
Viewed by 181
Abstract
The aim of this study was to comparatively evaluate echotextural and hemodynamic changes in the corpus luteum (CL), uterus, and uterine artery, together with serum progesterone (P4) concentrations, using B-mode and Doppler ultrasonography between days 5 and 21 post-insemination in pregnant and non-pregnant [...] Read more.
The aim of this study was to comparatively evaluate echotextural and hemodynamic changes in the corpus luteum (CL), uterus, and uterine artery, together with serum progesterone (P4) concentrations, using B-mode and Doppler ultrasonography between days 5 and 21 post-insemination in pregnant and non-pregnant cows. Twelve clinically healthy Brown Swiss cows were enrolled and allocated into a cyclic non-inseminated group (n = 6) and an inseminated group (n = 6). Ultrasonographic examinations and progesterone measurements were performed daily during the post-insemination period, and pregnancy was confirmed on day 30. Echotextural parameters (mean gray value and homogeneity) were obtained from the corpus luteum and uterus using B-mode ultrasonography. Doppler ultrasonography was used to assess corpus luteum vascular parameters and uterine artery blood flow, and serum progesterone concentrations were measured at each examination. Corpus luteum mean gray value showed a significant time effect (p < 0.001). For Corpus luteum area and perfusion area, both the time effect and the group × time interaction were significant (p < 0.001), and marked differences between pregnant and non-pregnant cows were observed on days 19, 20, and 21 (p < 0.05). Serum progesterone concentrations also differed significantly between groups on days 20 and 21. In conclusion, changes in corpus luteum area and perfusion area were associated with early pregnancy-related differences and may represent earlier functional ultrasonographic indicators compared with uterine artery Doppler parameters and progesterone concentrations alone. These findings may have practical implications for herd management by potentially enabling differentiation between pregnant and non-pregnant cows approximately 1–2 days earlier than serum progesterone measurements. Full article
(This article belongs to the Section Animal Science)
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16 pages, 1001 KB  
Article
Reproductive Neutrality of the A2 β-Casein Variant in Holstein Cows
by Lilla Sándorová, Ferenc Pajor, Péter Árpád Fehér, Miklós Gábor Szabari, Szilvia Áprily, Szilárd Bodó, Péter Póti, István Egerszegi, Ákos Bodnár and Viktor Stéger
Animals 2026, 16(5), 741; https://doi.org/10.3390/ani16050741 - 27 Feb 2026
Viewed by 200
Abstract
The CSN2 gene encoding β-casein has gained increasing attention in dairy cattle breeding due to the global adoption of A2-oriented selection strategies. However, robust large-scale evidence assessing potential unintended effects on functional traits, particularly fertility, under intensive commercial conditions remains limited. This [...] Read more.
The CSN2 gene encoding β-casein has gained increasing attention in dairy cattle breeding due to the global adoption of A2-oriented selection strategies. However, robust large-scale evidence assessing potential unintended effects on functional traits, particularly fertility, under intensive commercial conditions remains limited. This study evaluated whether selection for the CSN2 A2 β-casein variant is associated with biologically relevant differences in fertility traits in Holstein cows. Reproductive and genomic data from 7826 lactation records of 2773 Holstein cows collected between 2022 and 2025 in a large commercial dairy herd were analyzed. Fertility indicators included days open, number of services per conception, calving interval, first-service conception rate, and pregnancy by 100 days in milk. Mixed-effects models accounting for repeated lactations and cow- and sire-level clustering were applied, and predefined equivalence margins were used to distinguish statistical non-significance from biological irrelevance. Across all evaluated fertility traits, differences among CSN2 genotypes (A1A1, A1A2, and A2A2) were consistently small, biologically negligible, and well within predefined equivalence margins. Differences in days open were within ±2 days, and effect sizes for count and binary traits were close to unity. Parity and calving year significantly influenced reproductive performance, whereas no CSN2 genotype × parity interactions were detected. These findings indicate that selection for the CSN2 A2 β-casein variant does not compromise reproductive performance under intensive commercial management conditions. From a breeding and industry perspective, the results support the implementation of A2-oriented selection strategies without biologically meaningful adverse effects on fertility. Full article
(This article belongs to the Section Cattle)
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22 pages, 2103 KB  
Article
Genetic Diversity and Population Structure of Sardo Negro Cattle
by Blanca Catalina Colin Ibarra, Patricia Cervantes Acosta, Antonio Hernández Beltrán, Vicente Eliezer Vega Murillo, Belisario Domínguez Mancera and Vincenzo Landi
Animals 2026, 16(5), 702; https://doi.org/10.3390/ani16050702 - 24 Feb 2026
Viewed by 249
Abstract
Livestock production in Mexico takes place in a wide range of agroecological regions, with approximately one-third of the cattle population raised under tropical conditions, where heat stress and disease pressure limit the performance of poorly adapted animals. The Mexican Sardo Negro cattle breed [...] Read more.
Livestock production in Mexico takes place in a wide range of agroecological regions, with approximately one-third of the cattle population raised under tropical conditions, where heat stress and disease pressure limit the performance of poorly adapted animals. The Mexican Sardo Negro cattle breed (Bos indicus) is environmentally resilient and is used for both meat and milk production; however, information regarding its population structure and reproductive management remains limited. Therefore, the genetic diversity and population structure of this breed were evaluated through pedigree analysis to support conservation strategies. Genealogical records from 8653 animals belonging to six herds located in the states of Veracruz and Chiapas, Mexico, were analyzed using ENDOG V4.8, PopRep and GRain software. The average inbreeding coefficient was 2.5%, with an increase of 0.9% per generation, a mean generational interval of 7.9 years, and a maximum pedigree depth of nine generations, although pedigree completeness was low in distant generations. The difference between the effective number of ancestors (32) and founders (37) suggests the absence of bottlenecks; however, the fact that only 21 individuals account for 50% of the genetic variability is indicative of a founder effect. Overall, the population exhibits an acceptable level of inbreeding, highlighting the importance of planned mating strategies to maintain genetic diversity and ensure the long-term conservation of the Sardo Negro breed. Full article
(This article belongs to the Section Cattle)
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13 pages, 854 KB  
Article
Association of Seroprevalence of Respiratory Pathogens and Herd-Level Management Factors with Inflammatory Markers in Dairy Cattle
by Anri Timonen, Rohish Kaura, Annely Aleksejev, Lea Tummeleht, Kerli Mõtus, Arvo Viltrop and Toomas Orro
Dairy 2026, 7(1), 20; https://doi.org/10.3390/dairy7010020 - 19 Feb 2026
Viewed by 242
Abstract
This cross-sectional study investigated the associations between the acute-phase proteins (APP) serum amyloid A (SAA) and haptoglobin (Hp), herd-level factors, and the seroprevalence of respiratory pathogens in Estonian dairy herds. Serum samples were analysed from 938 cows (95 herds) and 921 heifers (94 [...] Read more.
This cross-sectional study investigated the associations between the acute-phase proteins (APP) serum amyloid A (SAA) and haptoglobin (Hp), herd-level factors, and the seroprevalence of respiratory pathogens in Estonian dairy herds. Serum samples were analysed from 938 cows (95 herds) and 921 heifers (94 herds). Seroprevalence was tested for bovine herpesvirus 1 (BHV-1), bovine respiratory syncytial virus (BRSV), bovine parainfluenza virus 3, bovine viral diarrhoea virus, bovine coronavirus, bovine adenovirus, and Mycoplasma bovis (M. bovis). Farm visits included questionnaires on herd management practices. Linear random-intercept regression models showed higher serum SAA concentrations in cows from farms with BHV-1 seroprevalence of >50% and on BRSV-positive farms (p < 0.05), while farms employing a veterinarian had lower serum SAA concentrations. Cows had higher serum Hp concentrations in M. bovis-positive herds (p = 0.030). In heifers, serum SAA concentrations increased with low to moderate BHV-1 seroprevalence, decreased with higher M. bovis seroprevalence, and were higher in free-stall or mixed housing compared to tie-stall housing. Heifers’ serum Hp concentrations were lower in BHV-1-positive herds, but higher in herds with breeding bulls and larger herd sizes. To conclude, APP may reflect the herd health status and management-related effects on animals, supporting their use in herd-level monitoring. Full article
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12 pages, 460 KB  
Article
Evaluating Welfare, Milk Quality and Yield of Rendena Cows in Loose vs. Tied Housing Systems
by Silvia Sabbadin, Silvia Magro, Angela Costa, Valentina Lorenzi, Francesca Fusi, Luigi Bertocchi and Massimo De Marchi
Animals 2026, 16(4), 636; https://doi.org/10.3390/ani16040636 - 17 Feb 2026
Viewed by 263
Abstract
The objectives of this study were (i) to analyze the ClassyFarm welfare scores in loose housing system (LHS) and tied housing system (THS) Rendena herds, and (ii) to investigate the influence of the housing on individual milk yield and quality traits in Rendena [...] Read more.
The objectives of this study were (i) to analyze the ClassyFarm welfare scores in loose housing system (LHS) and tied housing system (THS) Rendena herds, and (ii) to investigate the influence of the housing on individual milk yield and quality traits in Rendena cows. The dataset consisted of 3761 individual milk samples from 750 Rendena cows, collected between August 2022 and November 2023 from 17 single-breed herds of the Veneto region. Available data included days in milk (DIM), parity, and milk yield, as well as fat, protein, casein, and lactose contents, somatic cell count, differential somatic cell count, and urea concentration. For milk traits, a linear mixed model included housing system, DIM, and parity as fixed effects, while cow, herd-test-date, and residual variability were random effects. In both housing systems, a good level of welfare was observed, although shortcomings in biosecurity measures were identified in both LHS and THS. Milk quality (in terms of protein % and casein %) and yield were higher in LHS compared to THS. The observed differences cannot be explained by the housing system alone, as other management and nutritional factors may have played a role, highlighting the need for further studies to clarify these contributions. Full article
(This article belongs to the Section Animal Welfare)
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18 pages, 537 KB  
Systematic Review
The Influence of Environmental and Genetic Factors and Training Background on the Welfare of Herding Dogs
by Bogumiła Pilarczyk, Renata Pilarczyk, Małgorzata Bąkowska, Agnieszka Tomza-Marciniak, Ewa Kwita and Jan Udała
Animals 2026, 16(4), 607; https://doi.org/10.3390/ani16040607 - 14 Feb 2026
Viewed by 254
Abstract
Herding dogs play an important role in the management of herds of sheep and cattle, and their effectiveness depends on various genetic and environmental factors, and the choice of training method. The aim of this study is to explain how these factors determine [...] Read more.
Herding dogs play an important role in the management of herds of sheep and cattle, and their effectiveness depends on various genetic and environmental factors, and the choice of training method. The aim of this study is to explain how these factors determine the effectiveness of herding work, the level of stress and psychological comfort experienced by the dogs, as well as their physical health. The study also examines the choice of training method, the influence of socialisation and relationship with the handler, as well as the living conditions. Information on the welfare of herding dogs and the factors that influence this welfare were obtained based on a search of PubMed, Web of Science, Google Scholar and Scopus using defined keywords. Research indicates that positive reinforcement, early socialisation and trust-building with the handler increase performance, reduce behaviour indicative of any stress the dogs may be experiencing, and improve psychological wellbeing. Selective breeding has developed herding predispositions, including herding instinct and cognitive abilities, at the expense of predatory instinct. Understanding the genetic and environmental factors associated with wellbeing, and using ethical training methods benefits both dogs and livestock by allowing herding dogs to fully realise their natural behaviours. Full article
(This article belongs to the Special Issue The Science of Working and Sporting Dog Performance)
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18 pages, 464 KB  
Review
Measles: An Updated Literature Review of the Host Response, Pathogenesis, Complications, Prevention Measures, and Recent Outbreaks
by Stefanie Au, Seema Saini, William Dela Cruz and Vishwanath Venketaraman
Curr. Issues Mol. Biol. 2026, 48(2), 206; https://doi.org/10.3390/cimb48020206 - 13 Feb 2026
Viewed by 818
Abstract
Measles remains a significant global health threat due to its extreme transmissibility and the potential for severe, long-term complications. This review synthesizes the most up-to-date literature on the host response, immunological impact, current treatments, and prevention of the measles virus (MeV). The review [...] Read more.
Measles remains a significant global health threat due to its extreme transmissibility and the potential for severe, long-term complications. This review synthesizes the most up-to-date literature on the host response, immunological impact, current treatments, and prevention of the measles virus (MeV). The review details host immune evasion mechanisms, including the antagonism of interferon signaling, discusses genetic associations with vaccine failure, and explores adjunctive treatments like vitamin A and ribavirin. Despite the success of the two-dose MMR vaccine, recent resurgences in the United States, peaking at 2065 cases in 2025, underscore a critical decline in herd immunity driven by vaccine hesitancy and pandemic-related disruptions. However, with no FDA-approved antiviral, primary prevention via vaccination remains the only effective strategy. This paper emphasizes the necessity of strengthening public health outreach and standardizing international surveillance to mitigate the rising incidence of this preventable disease. Full article
(This article belongs to the Special Issue Molecular Research on Virus-Related Infectious Disease)
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13 pages, 946 KB  
Article
Field Studies on the Saccharomyces Yeast Strain MIIP as an Immunomodulator to Mitigate PRRSV Infection in Piglets
by Wei-Ting Lin, Mao-Yuan Du, Ishin Tseng, Ming-Tang Chiou, Hsiang-Jung Tsai and Chao-Nan Lin
Vet. Sci. 2026, 13(2), 175; https://doi.org/10.3390/vetsci13020175 - 10 Feb 2026
Viewed by 220
Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) remains a significant threat to swine health worldwide, primarily due to its extensive genetic diversity and ability to evade host immune responses, which reduces the effectiveness of vaccines. This field study investigated the immunomodulatory effects of [...] Read more.
Porcine reproductive and respiratory syndrome virus (PRRSV) remains a significant threat to swine health worldwide, primarily due to its extensive genetic diversity and ability to evade host immune responses, which reduces the effectiveness of vaccines. This field study investigated the immunomodulatory effects of the Saccharomyces cerevisiae strain MIIP as a dietary supplement to mitigate PRRSV infection in piglets under commercial farming conditions. Four trials were conducted across PRRSV-affected herds, with variations in PRRS vaccination practices and infection status. MIIP supplementation led to a significant reduction in the PRRSV antibody-positive rate, titers, and viremia in treated piglets compared to both non-concurrent and concurrent control groups. Enhanced mucosal immunity was also observed, as evidenced by higher total IgA concentrations in serum and milk in the MIIP groups. Although not all immune parameters reached statistical significance, trends consistently favored improved antiviral responses in MIIP-treated animals. These results suggest that dietary supplementation with MIIP yeast can enhance both systemic and mucosal immunity, potentially reducing PRRSV infection and transmission. Further research into its mechanisms, particularly its interaction with innate immune pathways and the gut microbiota, is warranted to optimize PRRSV control strategies. Full article
(This article belongs to the Section Veterinary Microbiology, Parasitology and Immunology)
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