https://repositorio.ufpb.br/jspui/handle/123456789/174 2026-04-05T21:18:57Z 2026-04-05T21:18:57Z Kretli, Gabrielly Utuari https://repositorio.ufpb.br/jspui/handle/123456789/37854 2026-03-12T06:06:58Z 2025-10-03T00:00:00Z

Título: Prevalência da leucemia viral felina(FELV) e da imunodeficiência viral felina (FIV) em gatos domesticos atendidos no hospital veterinário da Universidade Federal da Paraiba no periodo de 2023 a 2025 - aspectos clinicos e epidemiológicos Autor(es): Kretli, Gabrielly Utuari Orientador: Seixas, Felipe Nael Abstract: Feline Leukemia Virus (FeLV) and Feline Immunodeficiency Virus (FIV) constitute the main retroviral infections in the medical practice of domestic cats, with great clinical and epidemiological relevance and a significant impact on their health and longevity. This study aimed to determine the prevalence in domestic cats treated at the Veterinary Hospital of the Federal University of Paraíba, between 2023 and 2025, and to describe the main associated clinical and epidemiological aspects. A total of 144 cats were evaluated, undergoing anamnesis, clinical examination, and diagnosis through a rapid immunochromatographic test that detects FeLV antigen and FIV antibody. Additional data regarding living conditions, reproductive history, presence of comorbidities, and results of complementary examinations were obtained through interviews with owners and analysis of clinical records. The observed prevalence was 45.0% for FeLV and 8.3% for FIV, in addition to cases of coinfection, configuring a concerning epidemiological scenario that surpasses rates described in other regions of Brazil. Infection affected animals of different ages, sexes, breeds, and lifestyles, evidencing broad population distribution. Among the clinical findings, progressive weight loss, lymphadenopathy, chronic stomatitis, anemia, and opportunistic infections were highlighted, confirming the immunosuppressive nature of retroviral infections. The low vaccination coverage identified against FeLV, associated with the high percentage of positive animals, demonstrates weaknesses in preventive strategies and the urgent need to intensify actions in veterinary public health. It is concluded that systematic screening, vaccination, and segregation of infected animals are indispensable tools to reduce viral spread, promote feline welfare, and support more effective clinical practices. Editor: Universidade Federal da Paraíba Tipo: TCC

2025-10-03T00:00:00Z Melo, João Henrique https://repositorio.ufpb.br/jspui/handle/123456789/37844 2026-03-10T06:04:30Z 2025-12-02T00:00:00Z

Título: Propriedades físicas de um planossolo sob sistema de integração lavoura-pecuária-floresta no semiárido brasileiro Autor(es): Melo, João Henrique Orientador: Oliveira, Flávio Pereira de Abstract: The integrated crop-livestock-forestry (ICLF) system emerges as an efficient alternative for the recovery of degraded areas, through the sustainable management of soils, combining forest species, agricultural crops, and livestock in an appropriate organization of time and space. In this context, the objective was to evaluate and analyze the physical properties of a Planosol under ICLF in the semi-arid region of the Paraíba Agreste. The research was conducted in an area located at the Experimental Station of the Paraíba Company for Research, Rural Extension and Land Regularization – EMPAER, in the municipality of Alagoinha, PB. The experimental design used was randomized blocks (RBD) with six land use systems: T1) Gliricidia (Gliricidia sepium (Jacq.) Steud) + Brachiaria decumbens Stapf. (GC + BD); T2) Sabiá (Mimosa caesalpiniifolia Benth.) + Brachiaria decumbens Stapf. (SB + BD); T3) Corn (Zea mays L.) + Brachiaria decumbens Stapf. (ML + BD); T4) Brachiaria decumbens Stapf. (BD); The native vegetation area (T5) and the area of pasture considered degraded (T6) were studied at three depths (0.00-0.10; 0.10-0.20 and 0.20-0.30 m), with four repetitions. Undisturbed soil samples were collected in three layers to determine the following physical characteristics: texture, soil density (Ds), total porosity (Pt), macroporosity (Ma), microporosity (Mi), saturated hydraulic conductivity (KƟ), and penetration resistance (Rp). After 10 years of implementing the integrated system, it was not possible to identify significant differences between the land use systems and between depths for the properties studied. A significant relationship was observed between total porosity and the other evaluated attributes. There were changes in the physical characteristics of the soil, resulting from inadequate animal management. The native vegetation presents the lowest density and resistance to penetration, and the highest porosity, although the hydraulic conductivity shows slightly lower values. The SB+BD and GL+BD treatments at the three depths demonstrate potential for improving the physical structure of the soil, reducing density and resistance to penetration and improving porosity, aeration, and water infiltration. Editor: Universidade Federal da Paraíba Tipo: TCC

2025-12-02T00:00:00Z Barreto, Leticia Maria Alexandre https://repositorio.ufpb.br/jspui/handle/123456789/37843 2026-03-10T06:04:27Z 2026-02-09T00:00:00Z

Título: Parotidectomia em bovino sob anestesia geral associada a bloqueios locorregionais: relato de caso Autor(es): Barreto, Leticia Maria Alexandre Orientador: Bopp, Simone Abstract: In ruminants, saliva is essential for rumination and maintenance of ruminal pH; therefore, salivary gland disorders such as mucocele and sialocele can significantly impact animal health and often require surgical treatment. In refractory cases, removal of the affected gland under general anesthesia becomes necessary; however, its use in cattle is limited due to costs and risks associated with prolonged recumbency, thus, locoregional techniques combined with physical restraint are preferred, as they reduce costs and anesthetic risks. This study aims to report a case involving a female Girolando bovine, approximately two years old and weighing 345 kg, which underwent a parotidectomy procedure using multimodal anesthesia at the Veterinary University Hospital of the Federal University of Paraíba, Campus II, in the city of Areia, Paraíba, Brazil. The anesthetic protocol included an initial preanesthetic medication (PAM) with 1% butorphanol at a dose of 0.03 mg/kg and 1% acepromazine at a dose of 0.03 mg/kg administered intravenously. After transportation, a second PAM was performed using dexmedetomidine at a dose of 3 μg/kg administered intravenously; intravenous induction with ketamine and midazolam, maintenance with isoflurane, and continuous ketamine infusion, in addition to blockade of the greater auricular and auriculotemporal nerves using levobupivacaine. General anesthesia lasted three hours and seven minutes, and the animal was extubated 10 minutes after the end of the procedure. Anesthetic recovery was considered rapid and satisfactory, with the animal standing on the first attempt 44 minutes after the end of anesthesia. The animal remained unconscious throughout the procedure, with adequate analgesia and stable physiological parameters, demonstrating that the multimodal strategy allowed a reduction in inhalant anesthetic concentrations and proved to be effective, safe, and feasible in cattle undergoing more complex surgical procedures. Editor: Universidade Federal da Paraíba Tipo: TCC

2026-02-09T00:00:00Z Silva, Arthur Yvisson Mendonça https://repositorio.ufpb.br/jspui/handle/123456789/37588 2026-02-11T06:07:21Z 2025-12-12T00:00:00Z

Título: Inteligência artificial na medicina veterinária: fundamentos teóricos, aplicações, desafios e perspectivas Autor(es): Silva, Arthur Yvisson Mendonça Orientador: Palhano, Chiarelli Alves Leandro Ferreira Abstract: In 1956, Marvin Minsky and John McCarthy coined the term "artificial intelligence" (AI) to refer to "the science and engineering of creating intelligent machines." Since then, the field of AI has grown and become relevant. AI has also gained ground in veterinary medicine, such that the way the profession is practiced is being reshaped by this technology. Thus, the objective of this work is to conduct a literature review with a qualitative and exploratory approach on artificial intelligence in veterinary medicine: theoretical foundations, applications, challenges, and perspectives. To this end, a bibliographic search was conducted in the IEEEXplore, Web of Science, Google Scholar, PubMed, and Scopus databases; and the terms "artificial intelligence and veterinary medicine," "artificial intelligence and animal health," "machine learning and animal health," and "machine learning and veterinary medicine" were used to locate works on AI and veterinary medicine. From the search results, works published between 2022 and 2025 were selected in order to obtain a current and relevant literature review on aspects of AI in veterinary medicine. The theoretical foundations of AI involve machine learning, as through this process, AI analyzes data using learning algorithms and solves problems. This technology is applicable in many fields within veterinary medicine, from diagnosis and clinical support, in areas such as diagnostic imaging, assisting in the interpretation of ultrasounds, magnetic resonance imaging, and other imaging exams, to remote animal monitoring, clinical decision support through AIs trained with scientific literature and clinical cases; animal pathology; predictive analytics and epidemiology, also contributing to one health; research and development; workflow automation, reducing stress from overload through the automation of repetitive tasks; and education, through customized GPTs, among other functionalities. However, some challenges still need to be faced, limitations such as the lack of quality data, the need for trained veterinary professionals; financial resources; barriers to the ethical, responsible, and transparent use of AI; and the absence of regulation can affect the performance of this technology. Despite these factors, it is expected that AI will continue to revolutionize veterinary medicine through efficiency, accuracy, and speed in performing tasks. In this scenario, AI should not replace the veterinarian, but be a support tool for the professional. Finally, it is concluded that AI has become relevant to veterinary medicine and can be applied in various areas. Retrospective studies that gather large amounts of data and research on machine learning can be useful for training AI models geared towards veterinary medicine. Furthermore, research on transparent software can also contribute to the ethical and responsible use of this technology. Editor: Universidade Federal da Paraíba Tipo: TCC

2025-12-12T00:00:00Z