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Physiological and growth responses of tambaqui (Colossoma macropomum) fed Croton conduplicatus essential oil and challenged with Aeromonas hydrophila.
Vet Res Commun
December 2024
Universidade Federal do Vale do São Francisco (UNIVASF), Campus Ciências Agrárias, Km 12, BR 407, Lote 543, s/n, Projeto de Irrigação Senador Nilo Coelho, Petrolina, CEP 56300-000, PE, Brazil.
This study aimed to assess the effect of Croton conduplicatus essential oil (CCEO) in diets for tambaqui (Colossoma macropomum) (14.50 ± 0.07 g), a native Amazonian fish.
View Article and Find Full Text PDFA Podcast on Patient and Physician Perspectives in the Holistic Care of Heart-Related Challenges of Type 2 Diabetes.
Diabetes Ther
December 2024
Patient Author, Heart Sistas, North Lauderdale, FL, USA.
Type 2 diabetes (T2D) frequently coexists with cardiorenal complications. Therefore, a holistic approach to patient management is required, with specialists such as primary care physicians, cardiologists, endocrinologists, and nephrologists working together to provide patient care. Although glycemic control is important in the management of T2D, patients with T2D and acceptable glycemic control are still at risk from cardiovascular (CV) events such as stroke, heart attack, and heart failure (HF).
View Article and Find Full Text PDFHalf-Metallic Antiferromagnetic 2D Nonlayered CrSe Nanosheets.
ACS Nano
December 2024
SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea.
Half-metallic magnetism, characterized by metallic behavior in one spin direction and semiconducting or insulating behavior in the opposite spin direction, is an intriguing and highly useful physical property for advanced spintronics because it allows for the complete realization of 100% spin-polarized current. Particularly, half-metallic antiferromagnetism is recognized as an excellent candidate for the development of highly efficient spintronic devices due to its zero net magnetic moment combined with 100% spin polarization, which results in lower energy losses and eliminates stray magnetic fields compared to half-metallic ferromagnets. However, the synthesis and characterization of half-metallic antiferromagnets have not been reported until now as the theoretically proposed materials require a delicate and challenging approach to fabricate such complex compounds.
View Article and Find Full Text PDFAdvancements in immunotherapy for colorectal cancer treatment: a comprehensive review of strategies, challenges, and future prospective.
Int J Colorectal Dis
December 2024
Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education (CARE), Kelambakkam, Chennai, Tamil Nadu, 603103, India.
Purpose: Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide. Metastatic colorectal cancer (mCRC) continues to present significant challenges, particularly in patients with proficient mismatch repair/microsatellite stable (pMMR/MSS) tumors. This narrative review aims to provide recent developments in immunotherapy for CRC treatment, focusing on its efficacy and challenges.
View Article and Find Full Text PDFMachine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity.
ACS Appl Mater Interfaces
December 2024
Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, 214122 Jiangsu, China.
Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization.
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