bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection
Authors: Joudaki Majid , Imani Mehdi , Arabnia Hamid R.
Published: February 2025

Recognizing human actions through video analysis has gained significant attention in applications like surveillance, sports analytics, and human–computer interaction. While deep learning models such as 3D convolutional neural networks (CNNs) and recurrent neural networks (RNNs) deliver promising results, they often struggle with computational inefficiencies and inadequate spatial–temporal feature extraction, hindering scalability to larger datasets or high-resolution videos. To address these limitations, we propose a novel model combining a two-dimensional convolutional restricted Boltzmann machine (2D Conv-RBM) with a long short-term memory (LSTM) network. The 2D Conv-RBM efficiently extracts spatial features such as edges, textures, and motion patterns while preserving spatial relationships and reducing parameters via weight sharing. These features are subsequently processed by the LSTM to capture temporal dependencies across frames, enabling effective recognition of both short- and long-term action patterns. Additionally, a smart frame selection mechanism minimizes frame redundancy, significantly lowering computational costs without compromising accuracy. Evaluation on the KTH, UCF Sports, and HMDB51 datasets demonstrated superior performance, achieving accuracies of 97.3%, 94.8%, and 81.5%, respectively. Compared to traditional approaches like 2D RBM and 3D CNN, our method offers notable improvements in both accuracy and computational efficiency, presenting a scalable solution for real-time applications in surveillance, video security, and sports analytics.
Portable Solar-Integrated Open-Source Chemistry Lab for Water Treatment with Electrolysis
Authors: Antonini Giorgio , Rahman Md Motakabbir , Brooks Cameron , Santoro Domenico , Muller Christopher , Al-Omari Ahmed , Bell Katherine , Pearce Joshua M.
Published: February 2025

Harnessing solar energy offers a sustainable alternative for powering electrolysis for green hydrogen production as well as wastewater treatment. The high costs and logistical challenges of electrolysis have resulted in limited widespread investigation and implementation of electrochemical technologies on an industrial scale. To overcome these challenges, this study designs and tests a new approach to chemical experiments and wastewater treatment research using a portable standalone open-source solar photovoltaic (PV)-powered station that can be located onsite at a wastewater treatment plant with unreliable electrical power. The experimental system is equipped with an energy monitoring data acquisition system. In addition, sensors enable real-time monitoring of gases—CO, CO2, CH4, H2, H2S, and NH3—along with temperature, humidity, and volatile organic compounds, enhancing safety during electrochemical experiments on wastewater, which may release hazardous gases. SAMA software was used to evaluate energy-sharing scenarios under different grid-connected conditions, and the system can operate off the power grid for 98% of the year in Ontario, Canada. The complete system was tested utilizing a laboratory-scale electrolyzer (electrodes of SS316L, Duplex 2205, titanium grade II and graphite) with electrolyte solutions of potassium hydroxide, sulfuric acid, and secondary wastewater effluent. The electrolytic cell specifically developed for testing electrode materials and wastewater showed a Faraday efficiency up to 95% and an energy efficiency of 55% at STP, demonstrating the potential for use of this technology in future work.
Distributed Ledger Technology in Healthcare: Enhancing Governance and Performance in a Decentralized Ecosystem
Authors: Minango Juan , Carvajal Mora Henry , Zambrano Marcelo , Orozco Garzón Nathaly , Pérez Francisco
Published: February 2025

This paper evaluates the technical feasibility of Distributed Ledger Technology (DLT) within the healthcare ecosystem, with a focus on the use of Corda DLT to enhance governance and performance in a decentralized ecosystem, ensuring data integrity, security, and trustworthiness. Key attributes examined include the guarantee of data integrity, ensuring that transmitted data remain unaltered; authenticity through the implementation of digital signatures and certificates; confidentiality achieved via secure peer-to-peer communication accessible only to authorized parties; and traceability and auditing mechanisms that enable tracking of information changes and accountability. To validate these features, a Corda Distributed Application (CorDapp) was developed to manage the core logic of the healthcare ecosystem. The CorDapp was deployed across nodes and executed within the Corda network. Its performance was assessed using metrics such as throughput, latency, CPU usage, and memory consumption in both local and cloud network environments. Results demonstrate the feasibility of using Corda DLT technology in healthcare, effectively addressing critical requirements such as integrity, authenticity, confidentiality, traceability, and auditing while maintaining satisfactory performance across diverse deployment scenarios.
Intent-Bert and Universal Context Encoders: A Framework for Workload and Sensor Agnostic Human Intention Prediction
Authors: Panoff Maximillian , Acevedo Joshua , Yu Honggang , Forcha Peter , Wang Shuo , Bobda Christophe
Published: February 2025

Determining human intention is a challenging task. Many existing techniques seek to address it by combining many forms of data, such as images, point clouds, poses, and others, creating multi-modal models. However, these techniques still often require significant foreknowledge in the form of known potential activities and objects in the environment, as well as specific types of data to collect. To address these limitations, we propose Intent-BERT and Universal Context Encoders, which combine to form workload-agnostic framework that can be used to predict the next activity that a human performs as an Open Vocabulary Problem and the time until that switch, along with the time the current activity ends. Universal Context Encoders utilize the distances between the embeddings of words to extract relationships between Human-Readable English descriptions of both the current task and the origin of various multi-modal inputs to determine how to weigh the values themselves. We examine the effectiveness of this approach by creating a multi-modal model using it and training it on the InHARD dataset. It is able to return a completely accurate description of the next Action performed by a human working alongside a robot in a manufacturing task in ∼42% of test cases and has a 95% Top-3 accuracy, all from a single time point, outperforming multi-modal gpt4o by about 50% on a token by token basis.
Distinct Impact of Processing on Cross-Order Cry1I Insecticidal Activity
Authors: Toledo Dafne , Bel Yolanda , Menezes de Moura Stefanie , Jurat-Fuentes Juan Luis , Grossi de Sa Maria Fatima , Robles-Fort Aida , Escriche Baltasar
Published: February 2025

The insecticidal Cry proteins from Bacillus thuringiensis are used in biopesticides or transgenic crops for pest control. The Cry1I protein family has unique characteristics of being produced during the vegetative rather than sporulation phase, its protoxins forming dimers in solution, and exhibiting dual toxicity against lepidopteran and coleopteran pests. The Cry1Ia protoxin undergoes sequential proteolysis from the N- and C-terminal ends, producing intermediate forms with insecticidal activity, while in some cases, the fully processed toxin is inactive. We investigated the oligomerization and toxicity of Cry1Ia intermediate forms generated through trypsinization (T-Int) and larval gut fluid (GF-Int) treatments, as well as the fully trypsinized protein (toxin). Heterologously expressed intermediate forms assembled into oligomers and showed similar toxicity to Cry1Ia protoxin against Ostrinia nubilalis (European corn borer) larvae, while the toxin form was ~30 times less toxic. In contrast, bioassays with Leptinotarsa decemlineata (Colorado potato beetle) larvae did not show significant differences in toxicity among Cry1Ia protoxin, T-Int, GF-Int, and fully processed toxin. These results suggest that the Cry1I mode of action differs by insect order, with N-terminal cleavage affecting toxicity against lepidopteran but not coleopteran larvae. This knowledge is essential for designing pest control strategies using Cry1I insecticidal proteins.
Schistosomiasis Burden and Trend Analysis in Africa: Insights from the Global Burden of Disease Study 2021
Authors: Peng Dandan , Zhu Yajing , Liu Lu , Zhang Jianfeng , Huang Peng , Bai Shaowen , Wang Xinyao , Yang Kun
Published: February 2025

Schistosomiasis remains a major public health concern in Africa, despite global efforts to eliminate the disease by 2030. This study estimates the burden, trends, and inequalities of schistosomiasis in Africa from 1990 to 2021, and projects future prevalence to inform the WHO’s elimination strategies. Data from the Global Burden of Disease Study (GBD 2021) were used to calculate annual average percentage change (AAPC) and annual percentage change (APC), with spatial global autocorrelation analysis performed to examine temporal and spatial trends. Five modeling algorithms were constructed to predict disease burden in Africa from 2022 to 2041. The age-standardized prevalences rate (ASPR) of schistosomiasis in Africa decreased from 18,495.51 per 100,000 in 1990 to 9,461.76 per 100,000 in 2021. The total number of cases, disability-adjusted life-years (DALYs), and mortality accounted for 84.25%, 87.92% and 87.28% of the global totals, respectively. ARIMA modeling predicts that by 2030, the ASPR will reach 3.99%. Despite progress, the burden remains significant, and intensified efforts are needed, particularly in high-burden regions like West Africa, to meet the WHO’s 2030 elimination targets.
Elucidating the Dark Energy and Dark Matter Phenomena Within the Scale-Invariant Vacuum (SIV) Paradigm
Authors: Gueorguiev Vesselin G. , Maeder Andre
Published: February 2025

The enigmatic phenomenon of dark energy (DE) is the elusive entity driving the accelerated expansion of our Universe. A plausible candidate for DE is the non-zero Einstein Cosmological Constant ΛE manifested as a constant energy density of the vacuum, yet it seemingly defies gravitational effects. In this work, we interpret the non-zero ΛE through the lens of scale-invariant cosmology. We revisit the conformal scale factor λ and its defining equations within the Scale-Invariant Vacuum (SIV) paradigm. Furthermore, we address the profound problem of the missing mass across galactic and extragalactic scales by deriving an MOND-like relation, g∼a0gN, within the SIV context. Remarkably, the values obtained for ΛE and the MOND fundamental acceleration, a0, align with observed magnitudes, specifically, a0≈10−10ms−2 and ΛE≈1.8×10−52m−2. Moreover, we propose a novel early dark energy term, T˜μν∼κH, within the SIV paradigm, which holds potential relevance for addressing the Hubble tension.
Molecular Characterization of the Infectious Laryngotracheitis Virus (ILTV) Involved in Poultry Outbreaks Reveals the Virus Origin and Estimated Spreading Route
Authors: Chacón Jorge Luis , Chacón Ruy D. , Hagemann Henrique Lage , Astolfi-Ferreira Claudete S. , Nunes Cesar , Sesti Luiz , Alva Branko , Ferreira Antonio J. Piantino
Published: February 2025

Infectious laryngotracheitis outbreaks have been observed in a short period of time in broiler, layer, and broiler breeder flocks, resulting in clinical signs and high mortality. The affected farms are located in the same geographical area, which is a high-density poultry region of Brazil. To estimate the potential origin of the virus or viruses that caused the outbreaks, the ILTVs detected at six companies were molecularly characterized by sequencing two fragments of the ICP4 gene and then compared with previous field and vaccine viruses detected in the country. The sequencing results revealed that all farms investigated were infected with a nonvaccine-origin virus. Phylogenetic analysis revealed that all farms were infected by the same virus classified as genotype VI. In addition, the ILTV detected in the present study was compared with that of viruses previously detected in egg-layer poultry regions in the country. The viruses detected in the recent outbreaks were indistinguishable, with one of them (VI-4) suggesting a possible route of transmission. This study describes for the first time severe ILT outbreaks in meat-type poultry in Brazil that spread quickly, and the phylogenetic analysis suggests the potential origin of the virus and route of transmission.
Effectiveness and Immunogenicity of the MMR Vaccine Against SARS-CoV-2 Among Healthcare Workers
Authors: Seok Hyeri , Bae Joon-Yong , Kim Jooyun , Choi Won Suk , Park Heedo , Lee Jungmin , Lee Sohyun , Kim Chulwoo , Park Man-Seong , Park Dae Won
Published: February 2025

The purpose of this study was to evaluate the effectiveness and immunogenicity of the measles–mumps–rubella (MMR) vaccine against SARS-CoV-2 in healthcare workers at one medical institution. The effectiveness of the MMR vaccine against SARS-CoV-2 was evaluated in overall healthcare workers (HCWs). In addition, neutralizing antibodies to SARS-CoV-2 were measured according to the subjects’ measles immunity status with serum samples collected before the coronavirus disease 2019 pandemic period. The effectiveness of the MMR vaccine for SARS-CoV-2 in all HCWs and measles IgG-positive subjects was 34% (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI] = 0.53–2.70) and 34% (aOR = 0.66, CI = 0.38–18.4), respectively. The neutralizing antibody levels for SARS-CoV-2 were low in all groups regardless of the measles immune status. The MMR vaccine alone may not provide sufficient protection against SARS-CoV-2.
New Insights into Antiviral Natural Formulations: Biopolymeric Films for the Prevention and Treatment of a Wide Gamma of Viral Infections
Authors: Ayala-Peña Victoria Belén , Jaimes Ana Karen , Conesa Ana Lucía , García Cybele Carina , Sepulveda Claudia Soledad , Dellatorre Fernando Gaspar , Latour Ezequiel , Ponce Nora Marta Andrea , Álvarez Vera Alejandra , Lassalle Verónica Leticia
Published: February 2025

Viral infections remain a major concern, as existing treatments often yield inadequate responses or lead to the development of antiviral resistance in some cases. Fucoidan extracted from Undaria pinnatifida (F) is a natural sulphated polysaccharide that exhibits antiviral action. Despite its potential, the biomedical application of F is limited due to its difficult administration through trans-mucosal, skin, or oral ingestion. The most effective way to solve these problems is to propose novel methods of administration aiming to ensure better contact between the biopolymers and pathogens, leading to their inactivation. In this work, the synthesis of films based on chitosan (Ch)-coupled F is reported, aiming to generate a synergic effect between both biopolymers in terms of their antiviral and antioxidant capability. Biocomposites were prepared by a sonochemical method. They were characterized to infer structural properties, functionality, and possible F-Ch interactions by using Zeta potential, FTIR, and XRD techniques. The biocomposites showed excellent film-forming ability. They also exhibited improved antioxidant activity with respect to F and Ch individually and proved to be non-cytotoxic. These results demonstrate, for the first time, the antiviral activity of F:Ch biocomposites against bovine coronavirus and human viruses (adenovirus, poliovirus, herpes simplex, and respiratory syncytial virus), which could be applied in film form to prevent or treat viral infections.
The Use of Plant Viral Nanoparticles in Cancer Biotherapy—A Review
Authors: Komane Mamorake Donty , Kayoka-Kabongo Prudence Ngalula , Rutkowska Daria Anna
Published: February 2025

Cancer is a major global health problem that poses significant challenges. Conventional cancer therapies often have severe side effects, necessitating the development of novel therapeutic approaches that are more effective and less toxic. The utilization of plant viral nanoparticles is one of the more promising strategies for cancer biotherapy. Plant viral nanoparticles exhibit advantageous properties, including safety, high stability, rapid production and scalability, biocompatibility and biodegradability, structural uniformity, inherent immunogenicity, ease of modification and high update efficacy as well as lower cost implications, making them attractive vehicles for health applications. Various studies have demonstrated the efficacy of plant viral nanoparticles in targeted therapeutic drug/molecule delivery, tumor imaging and immunotherapy, highlighting their potential as a versatile platform for cancer biotherapy. The drawbacks of plant viral nanoparticles include their perceived ability to induce a hypersensitive/allergic immune response, non-well-defined regulatory approval processes as well as the reluctance of pharmaceutical companies to adapt their manufacturing processes to facilitate plant-based expression. This review discusses applications of plant virus-derived nanoparticles in cancer therapeutics and prospects for translating these findings into clinical practice.
Avermectins Inhibit Replication of Parvovirus B19 by Disrupting the Interaction Between Importin α and Non-Structural Protein 1
Authors: Alvisi Gualtiero , Manaresi Elisabetta , Pavan Silvia , Jans David A. , Wagstaff Kylie M. , Gallinella Giorgio
Published: February 2025

Human parvovirus B19 (B19V) is a major human pathogen in which the ssDNA genome is replicated within the nucleus of infected human erythroid progenitor cells (EPCs) through a process involving both cellular and viral proteins, including the non-structural protein (NS)1. We previously characterized the interaction between NS1 classical nuclear localization signal (cNLS: GACHAKKPRIT-182) and host cell importin (IMP)α and proposed it as a potential target for antiviral drug development. Here, we further extend on such findings. First, we demonstrate that NS1 nuclear localization is required for viral production since introducing the K177T substitution in a cloned, infectious viral genome resulted in a non-viable virus. Secondly, we demonstrate that the antiparasitic drug ivermectin (IVM), known to inhibit the IMPα/β dependent nuclear import pathway, could impair the NS1-NLS:IMPα interaction and suppress viral replication in UT7/EpoS1 cells in a dose-dependent manner. We also show that a panel of structurally related avermectins (AVMs) can dissociate the NS1-NLS:IMPα complex with half-maximal inhibitory concentrations in the nanomolar range. Among them, Eprinomectin emerged as the most selective inhibitor of B19V replication, with a selectivity index of c. 5.0. However, when tested in EPCs generated from peripheral blood mononuclear cells, which constitute a cellular population close to the natural target cells in bone marrow, the inhibitory effect of IVM and Eprinomectin was demonstrated to a lesser extent, and both compounds exhibited high toxicity, thus highlighting the need for more specific inhibitors of the NS1-NLS:IMPα interaction.
Vaccination Coverage and Attitudes in Children and Adults on Biologic Therapies: Cocooning Strategies, Undervaccination Factors and Predictors of Favorable Attitudes
Authors: Kariniotaki Charikleia , Bertsias George , Galanakis Emmanouil , Perdikogianni Chrysoula
Published: February 2025

Background: Infections pose a significant risk of morbidity and mortality to patients on biologics, with the vaccination of both patients and their close contacts serving as a key preventive measure. Despite its importance, there are limited data on the vaccination coverage for this group, and no studies have examined the vaccination status of patients’ close contacts. Objectives: To assess vaccination rates among patients on biologics and their household contacts, identifying reasons for inadequate vaccination and examining factors influencing vaccination status and attitudes is crucial. Methods: A cross-sectional study was conducted from September 2022 to February 2023 at the two hospitals in Heraklion, Crete, including adult and pediatric patients on biologics. Data were collected through medical records and interviews and analyzed using Microsoft Excel 2016 and MedCalc2006. Results: Among the 446 adults, vaccination rates were as follows: 83% for COVID-19, 73.8% for influenza, 64.5% for the pneumococcal conjugate vaccine, 29.6% for the pneumococcal polysaccharide vaccine, and 4% for Tdap. Among the 26 children included, those with basic immunization schedule coverage exceeded 96%, but rates for the vaccines usually administered at adolescence were lower (Tdap: 47.8%, HPV: 42.1%, MenACWY: 66.7%). COVID-19 vaccination was at 38.5%. Regarding the additional vaccines recommended due to treatment-induced immunosuppression, 69.2% of pediatric patients received the annual influenza vaccine, while only 19.2% received the pneumococcal polysaccharide vaccine. Household contacts demonstrated low vaccination rates (<59%), except for COVID-19 (81%). Female gender (p < 0.007) and older age (by 1 year, p < 0.001) were associated with favorable attitudes and higher coverage in adults, while in pediatric patients, no statistically significant associations were found. A lack of physician recommendation was the primary reported reason for not being vaccinated. Conclusions: Significant vaccination gaps exist among patients on biologics and their close contacts, largely due to inadequate physician recommendations. Raising awareness and strengthening healthcare provider roles are essential to improve coverage in this high-risk group.
Innovative Approaches to Combat Duck Viral Hepatitis: Dual-Specific Anti-DHAV-1 and DHAV-3 Yolk Antibodies
Authors: Lei Siqi , Yang Yuanhe , Zhao Chengchen , Liu Anguo , He Pingli
Published: February 2025

Background and Objectives: Duck viral hepatitis (DVH), a highly contagious and acutely fatal avian disease, is characterized by convulsions, acute death, liver swelling, and hemorrhage, leading to substantial losses in the duck industry. However, there is no efficient prevention and control method for DHV infection. Duck hepatitis A virus (DHAV) is one of the primary pathogens responsible for DVH. Methods: In this study, we prepared a highly effective anti-DHAV IgY antibody by immunizing Hy-Line Brown laying hens at the peak of egg production. Results and Conclusions: The neutralization index of this antibody was found to be up to 38.90 (DHAV-1 QYD strain) and 141.25 (DHAV-3 GY strain) in vitro. The antibody also exhibited effective prophylactic effects in a model of hepatic inflammation following the viral challenge of ducklings, with a dose of 0.5 mL per duckling (containing 64 mg/mL of IgY) significantly reducing DHAV-related mortality by 66%, providing substantial protection against the infection. Furthermore, it effectively alleviated oxidative damage caused by DHAV in the ducklings. The results of this study indicate that IgY has the potential for treating DHAV infection; it also provides a new way for the treatment of poultry diseases with specific antibodies.
Development and Efficacy Evaluation of a Novel Nanoparticle-Based Hemagglutination Inhibition Assay for Serological Studies of Porcine Epidemic Diarrhea Virus
Authors: Liang Fengyan , Qiao Wenyue , Zhang Mengjia , Hu Zhangtiantian , Zhao Shan , Yan Qigui , Li Wentao , Lang Yifei
Published: February 2025

Porcine epidemic diarrhea virus (PEDV) is a major pathogen that causes serious economic losses to the swine industry. To aid PEDV clinical diagnosis and vaccine development, sensitive and precise serological methods are demanded for rapid detection of (neutralizing) antibodies. Aiming for the development of a novel virus-free hemagglutination inhibition (HI) assay, the N-terminal region of the PEDV S1 subunit, encompassing the sialic acid-binding motif, was first expressed as an Fc-fusion protein with a C-terminal Spy Tag (S10A-Spy). The S10A-Spy protein was then presented on SpyCatcher-mi3 nanoparticles, forming virus-like particles designated S10A-NPs. Electron microscopy and dynamic light scattering analysis confirmed its topology, and the hemagglutination assay showed that S10A-NPs can efficiently agglutinate red blood cells. The HI assay based on S10A-NPs was then validated with PEDV-positive and -negative samples. The results showed that the HI assay had high specificity for the detection of PEDV antibodies. Next, a total of 253 clinical serum samples were subjected to the HI testing along with virus neutralization (VN) assay. The area under the receiver operating characteristic curve with VN was 0.959, and the kappa value was 0.759. Statistical analysis of the results indicated that the HI titers of the samples tested exhibited high consistency with the VN titers. Taken together, a novel virus-free HI assay based on the multivalent display of a chimeric PEDV spike protein upon self-assembling nanoparticles was established, providing a new approach for PEDV serological diagnosis.
Intraoperative Frozen Section Biopsy for the Auxiliary Diagnosis of Transmural Intestinal Intermediate T-Cell Canine Lymphoma
Authors: Gaia de Sousa Felipe , Milioli Gabrielly , Neto José Antônio , Felice Flavia de , Chaves Guilherme , Pereira Mariana , Lopes Hiasmyn , Wronski Julia , Nakagaki Karen , Beier Suzane
Published: February 2025

Intestinal lymphoma is characterized by a malignant lymphoid neoplasm with multifactorial causes, variable clinical symptoms, and, in some cases, rapid progression. This article describes a case of intestinal lymphoma in a dog that had a history of diarrhea lasting two months, accompanied by episodes of hematochezia, which was treated using the CHOP 19 protocol. A seven-year-old male Golden Retriever presented to a veterinary clinic with clinical signs of diarrhea, prostration, and the presence of bloody feces, as reported by the owner. Initial examinations, including hematology, serum biochemistry, and imaging, revealed an abnormal structure in the intestinal region. Considering the circumstances, a surgical procedure was conducted with the aid of a trans-surgical frozen section biopsy. This biopsy aimed to verify the presence of the neoplasm, assess the suspected diagnosis, evaluate the viability of the surgical margins, and determine the possibility of expanding the surgical area. An enterectomy with enteroanastomosis and trans-surgical biopsy was performed, leading to an initial diagnosis of intestinal lymphoma. The tissue fragment was sent for immunohistochemistry, which ultimately confirmed the diagnosis of intestinal T-cell lymphoma. The patient underwent the CHOP protocol for 19 weeks, but during the maintenance phase, abdominal ultrasound examination findings indicated tumor recurrence. Despite being informed of the potential benefits of further chemotherapy, the owner opted not to continue treatment for the animal. Frozen section biopsy can help with diagnosis during surgery, avoiding more invasive procedures and the removal of lymph nodes, since in some cases, the systemic treatment of the disease is recommended.
Urinary NGAL and KIM-1 in Canine Monocytic Ehrlichiosis
Authors: Pereira Mariana Elisa , Canei Darlan Henrique , Trevisan Yolanda Paim Arruda , Maruyama Fernanda Harumi , de Assis Pereira Nathália , Pavan Eduarda , Zorzo Carolina , Mendonça Adriane Jorge , Nakazato Luciano , de Oliveira Martins Domingos Tabajara , Bortolini Juliano , de Aguiar Daniel Moura , de Almeida Arleana Bom Parto Ferreira , Sousa Valéria Régia Franco
Published: February 2025

Glomerulonephritis, caused by the deposition of immune complexes, can lead to kidney damage in dogs with canine monocytic ehrlichiosis (CME). The early diagnosis of renal insult is important to prevent severe kidney disease in infected dogs by Ehrlichia canis. This study aimed to investigate urinary biomarkers of renal function, neutrophil gelatinase (uNGAL), and kidney injury molecule-1 (uKIM-1) using the Luminex® xMAP® platform, and the proportion of mixed or high molecular weight proteinuria in dogs with CME. This study included blood samples of thirty dogs with clinical signs of CME and amplified DNA for E. canis (CME group) and six dogs of different breeds and both sexes, aged 3 to 7 years, that showed no clinical-laboratory alterations or tick parasitism and were tested negative for E. canis via PCR (control group). The total calcium, phosphorus (p < 0.05), urea (p < 0.001), creatinine (p < 0.05), urinary density (p < 0.05), urinary protein creatinine ratio (p < 0.001), uNGAL (p < 0.05), and uKIM-1 (p > 0.05), as well as the proportion of high molecular weight proteinuria and mixed proteinuria (p < 0.01), were measured. Elevated serum concentrations of creatinine, urea, and phosphorus combined with reduced urinary density, increased urinary creatinine–protein ratio, urinary NGAL, and mixed proteinuria detected renal damage in dogs with CME, while KIM -1 remained unchanged. uNGAL can detect early renal lesions, reflecting renal damage before a significant increase in serum creatinine occurs, and appears to be an early diagnostic biomarker in renal disease in dogs with CME.
Immunohistochemical Analysis of Inter-Alpha-Trypsin Inhibitor Heavy Chain 2 and Enolase 1 in Canine Mammary Tumors: Associations with Tumor Aggressiveness and Prognostic Significance
Authors: e Silva Luadna dos Santos , Jordão Pedro Henrique Fogaça , Balieiro Beatriz Castilho , Baracioli Laura de Souza , de Nóbrega Daniela Farias , Novais Adriana Alonso , Chuffa Luiz Gustavo de Almeida , Zuccari Debora Aparecida Pires de Campos
Published: February 2025

Mammary neoplasms in dogs are a common clinical concern, especially in middle-aged and older intact females. These tumors share similarities with human breast cancer in terms of histology, disease progression, and risk factors, making dogs a relevant model for breast cancer research. The search for biomarkers in canine mammary tumors is essential to understand tumor progression and identify potential therapeutic targets. This study investigated the expression of two potential biomarkers—Inter-Alpha-Trypsin Inhibitor Heavy Chain 2 (ITIH2) and Enolase 1 (ENO1)—in the mammary glands of healthy and tumor-bearing dogs using immunohistochemistry. Both proteins were identified in previous proteomic analyses of extracellular vesicles derived from the plasma of healthy and tumor-bearing dogs. A total of fifty-one canine mammary tissue samples were analyzed and categorized into three groups: (i) the control group, composed of five samples of normal mammary tissue without neoplasia; (ii) benign tumors, composed of nineteen samples of benign mixed tumors; and (iii) malignant tumors, which included six carcinomas in grade 1 mixed tumors, five carcinomas in grade 2 mixed tumors, thirteen solid carcinomas of grade 3, one papillary carcinoma, and two tubular carcinomas. Regarding the intensity of staining, quantified by histoscore, there were no significant differences in the comparison between the groups; for ITIH2, the p-value was 0.33, and for ENO1, the p-value was 0.57. Regarding the predictive potential of their respective ROC curves, the proteins demonstrated low predictive power in canine mammary tumors. These findings indicate that neither ITIH2 nor ENO1 demonstrated strong prognostic value in this setting, as demonstrated by their moderate AUC values, wide confidence intervals, and lack of statistical significance. However, this study found distinct tissue localization patterns for ITIH2 and subcellular localization for ENO1. As an additional way to examine possible associations of these proteins with epithelial–mesenchymal transition, the ZEB1 antibody was tested by both single and double immunohistochemistry, demonstrating a tendency to be more intensely expressed in the malignant group and tending to be associated with ENO1 in canine mammary tumors.
Tick Control Strategies: Critical Insights into Chemical, Biological, Physical, and Integrated Approaches for Effective Hard Tick Management
Authors: Makwarela Tsireledzo Goodwill , Seoraj-Pillai Nimmi , Nangammbi Tshifhiwa Constance
Published: February 2025

Ticks and tick-borne diseases significantly impact animal health, public health, and economic productivity globally, particularly in areas where the wildlife–livestock interface complicates management. This review critically examines the current control strategies, focusing on chemical, biological, physical, and integrated pest management (IPM) approaches. Chemical acaricides, while effective, are increasingly challenged by resistance development and environmental concerns. Biological approaches, including natural predators and entomopathogenic fungi, and physical interventions, such as habitat modification, provide sustainable alternatives but require further optimization. IPM stands out as the most promising long-term solution, integrating multiple approaches to enhance efficacy while reducing environmental risks. Emerging innovations, such as nanotechnology-enhanced acaricides and next-generation vaccines, offer promising avenues for improved tick control. Addressing the complex challenges of tick management requires tailored strategies, interdisciplinary collaboration, and sustained research investment in both veterinary and public health contexts.
Evaluating a Response to a Canine Leptospirosis Outbreak in Dogs Using an Owner Survey
Authors: Villanueva Sierra , Brundage Cord
Published: February 2025

Leptospirosis is a bacterial zoonotic disease that spreads through contaminated soil and water or directly from infected animals through urine. Although animal-to-human transmission is low, humans are most susceptible to contracting leptospirosis from these contaminated sources. This makes leptospirosis a public health concern, and therefore it is important to control these bacteria from spreading into the environment. A survey targeting Los Angeles County communities, in which a 2021 leptospirosis outbreak occurred, was sent out via groups on the online platforms Instagram and Facebook to gather dog and owner demographics. With 92 (90.2%) respondents having a primary veterinarian, it could not be determined what caused certain owners to have a greater vaccination rate than those who did not (n = 10; 9.8%). Overall, 69 respondents (68%), regardless of whether they had a primary veterinarian or not, reported not knowing of canine leptospirosis and 79 (77%) not knowing the signs to look for or that it is zoonotic. These data help provide a basis in terms of the status of dog owners’ knowledge of leptospirosis and how to begin to inform dog owners better about preventatives for this disease.
Transcriptomics-Based Study of Immune Genes Associated with Subclinical Mastitis in Bactrian Camels
Authors: Ma Wanpeng , Yao Huaibin , Zhang Lin , Zhang Yi , Wang Yan , Wang Wei , Liu Yifan , Zhao Xueting , Tong Panpan , Su Zhanqiang
Published: February 2025

The significant increase in demand for camel milk has led to a rapid increase in the number of Bactrian camels. However, the widespread occurrence of mastitis significantly impacts the development of the Bactrian camel milk industry and poses a public health risk. Despite this, there is a lack of research on the transcriptional response, immune response pathways, and changes in core genes of Bactrian camels with subclinical mastitis. This study aimed to reveal the changes in immune-related response pathways and gene transcription levels in Bactrian camels with subclinical mastitis by analyzing the blood transcriptional response after the occurrence of subclinical mastitis in natural conditions. This study focused on 7-year-old Bactrian camels and collected 2 mL of blood from the camels that tested positive with a 4-peak California Mastitis Test (CMT) and those that tested negative with a 3-peak CMT. RNA sequencing (RNA-Seq) technology was used to analyze gene expression in the blood samples. Gene expression was verified using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Overall, 1722 differentially expressed genes were sequenced in the blood samples of CMT-positive and CMT-negative Bactrian camels, including 1061 upregulated and 661 downregulated genes. After conducting gene ontology functional enrichment, 453 differentially expressed genes were identified. We also discovered pathways such as immune response, the G-protein-coupled receptor signaling pathway, and internal signal transmission. Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment detected 668 differentially expressed genes annotated onto 309 metabolic pathways, with significantly enriched immune pathways including cytokine–cytokine receptor interaction, complex and coalescence cascades, natural killer cell-mediated cytotoxicity, and T helper type 17 cell differentiation, among others. Through a STRING protein interaction database and cytoscape analysis, it was found that core differentially expressed genes related to immunity included IL10, CCL5, IL1B, OSM, TNFRSF1B, IL7, and CCR3, among others. The RT-qPCR results for six randomly selected core differentially expressed genes showed that the RT-qPCR expression pattern was consistent with the RNA Seq results. The immune-related genes in Bactrian camels affected by subclinical mastitis are primarily concentrated in the immune response and the cytokine–cytokine receptor interaction pathway. Given the importance of these pathways and the connections among related genes, the immune genes within these pathways may play a crucial role in the pathogenesis of subclinical mastitis in Bactrian camels. This study provides a valuable reference for investigating the immune regulatory mechanisms of subclinical mastitis in Bactrian camels.
An Investigation of the Thickness of Huhenuoer Lake Ice and Its Potential as a Temporary Ice Runway
Authors: Wang Ying , Zhao Qiuming , Zhang Bo , Wang Qingjiang , Lu Peng , Wang Qingkai , Bao Xinghua , He Jiahuan
Published: February 2025

The study of ice runways has significant practical importance. Regarding inland lake ice, while little of the practicality of ice runways during the ice formation period was explored in the published articles, the analysis of the time period and suitable locations may be used. This study focused on Huhenuoer Lake, located in Chen Barag Banner in northeastern China. The time-dependent law of ice growth in this lake has been investigated over a study period from 2023 to 2024. Utilizing the drilling approach, the ice thickness, recorded at each site on 29 February 2024, has surpassed 100 cm. On 14 March 2024, the recorded ice thickness at site #2 reached a record high of 139 cm. Second, to assess the project’s ease of use and safety, we used the Stefan equation to model the lake’s ice growth processes, resulting in a fitted Stefan coefficient of 2.202. For safety considerations, the Stefan coefficient used for the construction of the ice runway was set at 1.870. We investigated the distribution of lake ice and concluded that the lake ice runway should be established in the north. We established the relationship between ice thickness, cumulative snowfall, and negative accumulated temperature by integrating the fitting technique with the Stefan model. Utilizing the P-III method, the minimum value of the maximum negative accumulated temperature for the 50-year return period is 2092.46 °C·d, while the maximum cumulative snowfall for the 50-year period is 58.4 mm. We can apply these values to the aforementioned relationship to derive the ice thickness patterns across varying return periods. Finally, the study provides recommendations for the construction of the ice runway at Huhenuoer Lake. This study introduces ice field research and an ice growth model into the analysis of lake ice runway operations to provide technical assistance for ice runways.
Efficient Naval Surveillance: Addressing Label Noise with Rockafellian Risk Minimization for Water Security
Authors: Rangel Gabriel Custódio , Alves Victor Benicio Ardilha da Silva , Costa Igor Pinheiro de Araújo , Moreira Miguel Ângelo Lellis , Costa Arthur Pinheiro de Araújo , Santos Marcos dos , Eckstrand Eric Charles
Published: February 2025

This study proposes developing a resilient machine learning algorithm based on neural networks to classify naval images used in surveillance, search, and detection operations in vast coastal and marine environments. Coastal areas critical for water resource management often face challenges such as illegal fishing, trafficking, piracy, and other illicit activities that require robust monitoring systems powered by computer vision. However, real-world datasets in such environments can be compromised by label noise due to random inaccuracies or deliberate adversarial attacks, leading to decreased accuracy in machine learning models. Our innovative approach employs Rockafellian Risk Minimization (RRM) to mitigate the impact of label noise contamination, crucial to maintaining data integrity in water-related security and governance operations. Unlike existing methodologies that rely on extensively cleaned datasets, our two-step process adjusts neural network weights and manipulates nominal probabilities of data points to isolate potential data corruption effectively. This technique reduces dependence on meticulous data cleaning, thereby increasing data processing efficiency in water resources and coastal management. To validate the effectiveness and reliability of the proposed model, we apply RRM in various parameter settings to datasets specific to naval environments and evaluate its classification accuracy against traditional methods. By leveraging the proposed model, we aim to reinforce the robustness of ship detection models, ultimately contributing to developing more reliable automated maritime surveillance systems. Such systems are essential for strengthening governance, security, and water management and curbing illegal activities at sea.
Optimization of Selected Parameters in Vertical, Horizontal, and Hybrid Surface Flow Constructed Wetland Systems for Improving the Treatment Efficiency of Textile and Sewage Effluents
Authors: Javeed Faisal , Firdaus-e-Bareen  , Shafiq Muhammad , Nazir Aisha , Scholz Miklas
Published: February 2025

Constructed wetland systems (CWSs) can offer cost-effective wastewater treatment in developing countries like Pakistan. This study focused on optimizing design and operational parameters of CWSs in horizontal surface flow (HSF), vertical surface flow (VSF), and hybrid mesocosms for treating sewage and textile effluents using local hydrophytes: Lemna minor, Typha latifolia, and Eichhornia crassipes. Pollutants and heavy metals (Cd, Cr, Cu, Pb, Ni, and Zn) were removed under different flow configurations, bedding materials, hydrophyte species, and hydraulic retention times (HRT) to optimize the overall contaminant removal efficiency (RE). Key findings indicated that the hybrid CWS achieved a maximum RE of 63.62% for total suspended solids (TSS) and 57.9% for biochemical oxygen demand (BOD) at an HRT of 3 days, with efficiencies declining at longer retention times. Additionally, the hybrid system showed maximum metal removal, with Cd and Cr RE reaching 75.2% and 70.5%, respectively. The study also highlighted the critical role of hydrophyte species and HRT in optimizing RE. Furthermore, the choice of hydrophyte species significantly influenced pollutant removal, with treatment cells containing mixed hydrophytes achieving the highest removal efficiencies (63.62%), followed by Eichhornia crassipes with high Cd (643.33 mgkg−1) and Cr (1103.72 mgkg−1) uptake. A lower HRT of 3 days resulted in the highest overall removal efficiency of 57.5%, which decreased with longer HRTs (from 6 to 9 days). Optimizing design and operational parameters is crucial for maximizing CWS treatment potential.
Response of Trichoptera and Oligochaeta Communities to Modifications of Mountain River Channels with Low-Head Barriers
Authors: Szarek-Gwiazda Ewa , Dumnicka Elżbieta , Szczęsny Bronisław , Kownacki Andrzej , Ciszewski Dariusz
Published: February 2025

The responses of benthic fauna to channel modifications of mountain rivers by low-head barriers are poorly understood. The study aimed (1) to estimate the impact of two different low-head barrier types: concrete sills and block ramps, on Oligochaeta and Trichoptera communities in two small Carpathian rivers (Porębianka and Mszanka) in southern Poland, and (2) to determine changes in these communities in the mountain Porębianka River after 50 years by comparing current data with historical data. Both types of channel modifications led to a transformation from lotic to more lentic habitats. The research shows that habitat conditions and induced bed siltation greatly influenced the studied communities. In both rivers, the taxa richness and dominant taxa of Oligochaeta and Trichoptera were similar, alongside similar species compositions of Trichoptera. However, the river with the lower bed siltation rate had a higher Trichoptera density and a greater diversity in their density among habitats. After 50 years, the taxonomic richness of Oligochaeta and Trichoptera remained similar, unlike the considerable shift in their species compositions. Many species typical of mountain rivers have been replaced by species more tolerant to siltation, characteristic of lowland rivers. The family Tubificidae (Oli-gochaeta) and the genus Hydropsyche (Trichoptera) became dominant in both rivers in the early 2020s. Additionally, the functional feeding group (FFG) of Trichoptera changed considerably. Oligochaeta and Trichoptera communities serve as valuable indicators for moni-toring the environmental changes in these ecosystems.
Comparison of the Effectiveness of Artificial Neural Networks and Elastic Net Regression in Surface Runoff Modeling
Authors: Dawidowicz Jacek , Buczyński Rafał
Published: February 2025

This study compares Artificial Neural Networks (ANN) and Elastic Net regression for predicting surface runoff in urban stormwater catchments. Both models were trained on a data set derived from the Stormwater Management Model that included parameters such as imperviousness, flow path width, slope, Manning coefficients, and depression storage. ANN exhibited greater predictive accuracy and stability, especially when modeling nonlinear hydrologic interactions, while Elastic Net offered faster inference and clearer interpretability, but showed reduced accuracy in low-flow conditions. Validation on real-world data revealed the sensitivity of the models to scenarios not fully represented during training. Despite higher computational demands, the ANN proved more adaptable, while the more resource-efficient Elastic Net remains suitable for time-critical or large-scale applications. These findings provide practical insights for urban water resource management, indicating when each approach can be most effectively used in flood risk assessment and stormwater infrastructure planning.