Efficacy of caerulomycin A in modulating macrophage polarization and cytokine response in a murine model of lipopolysaccharide-induced sepsis by Jun Zhang, Shiyue Tang

“…The effects of Caerulomycin A (caeA), a known STAT1 phosphorylation inhibitor, on macrophage polarization and inflammatory markers were explored using a lipopolysaccharide (LPS)-induced sepsis mouse model. Methods A sepsis model was established in C57BL/6 mice induced by intraperitoneal injection of LPS, and the survival rate of mice was observed after treatment with different doses of caeA to determine the optimal therapeutic dose. …”
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Mid-upper-arm circumference: a surrogate measure for BMI for age z-score to identify thinness among adolescent girls in Addis Ababa, Ethiopia by Solome Zebene, Gudina Egata, Demewoz Haile

“…MUAC demonstrated good accuracy in detecting thinness and severe thinness (AUC = 0.86). …”
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Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions by Idris Temitope Bello, Hassan Raza, Alabi Tobi Michael, Madithedu Muneeswara, Neha Tewari, Wang Bingsen, Yin Nee Cheung, Zungsun Choi, Steven T. Boles

“…Advanced characterization methods for data collection and reliability assessment are discussed, including electrochemical, structural, spectroscopic, and in situ techniques which are noted for their ability to identify key areas of concern for this cell chemistry. …”
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Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review by Qaiser Javed, Mohammed Bouhadi, Smiljana Goreta Ban, Dean Ban, David Heath, Babar Iqbal, Jianfan Sun, Marko Černe

“…As one of many examples discussed herein, AI-driven decision-making systems can process real-time data from IoT-enabled environmental sensors to optimize invasive species detection. Smart chip technology also offers real-time monitoring of invasive species’ life processes, spread, and environmental effects, enabling artificial intelligence-powered eco-friendly control strategies that minimize herbicide usage and lessen collateral ecosystem damage. …”
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Rapid Analysis of Heavy Metal Element Adsorption by SCG Based on LIBS Technology by Xie Hairui, You Libing, Fang Xiaodong, Li Leyi, Ding Haokai, Zhou Zhengqi, Zhang Guanyang, Zhang Dongjian

“…However, most elemental analysis methods have complex pretreatment procedures and are time-consuming, making real-time analysis difficult to achieve. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…The results demonstrate that AI-based systems have shown promise in improving the accuracy and efficiency of HCC screening, diagnosis, and tumor characterization compared to traditional methods. Machine learning models integrating clinical, imaging, and genomic data have outperformed conventional staging systems in predicting survival and recurrence risk. …”
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Automated Parkinson’s Disease Diagnosis Using Decomposition Techniques and Deep Learning for Accurate Gait Analysis by S. Jeba Priya, C. Anand Deva Durai, M. S. P. Subathra, S. Thomas George, Andrew Jeyabose

“…The successful application of these methods highlights the importance of advanced signal processing techniques in improving the detection and management of neurological disorders.…”
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Cost effectiveness analysis of three colorectal cancer screening modalities in Kuwait by Amrizal Muhammad Nur, Syed Mohamed Aljunid, Eleni L. Tolma, Mahmoud Annaka, Rihab Alwotayan, Amani Elbasmi, Walid Q. Alali

“…FOBT followed by colonoscopy or sigmoidoscopy can be considered as an efficient and effective approach towards early detection of CRC. This approach can be used by healthcare policymakers in Kuwait, in the development of population-based CRC screening programs to optimize resource allocation and improve public health outcomes.…”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model’s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
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Adaptive Frequency Domain Data Augmentation for Sequential Recommendation by Zhibin Yang, Jiwei Qin, Donghao Zhang, Jie Ma, Peichen Ji

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The Prevalence of Oral Anomalies Among Healthy Newborns at a Gynecological Obstetric Hospital in Quito, Ecuador: An Observational, Cross-Sectional Study by Eleonor Vélez-León, Emilia Guerrero, Mauricio Orlando Carrillo, Marina Cabrera, Gustavo Tello, Patricia Pinos

“…<b>Objectives:</b> Early observations often fail to detect anomalies that may impact the health and quality of life of newborns. …”
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Language as a barrier to colorectal cancer screening in Flanders: an ecological study by Simon Van den bergh, Lidia Casas, Gökhan Ertaylan, Guido Van Hal, Jos Bessems

“…Abstract Background Despite its potential with regard to the prevention and early detection of colorectal cancer (CRC), participation in the organized CRC screening programme of the Belgian region of Flanders is suboptimal. …”
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A systematic review of Alzheimer's disease: exploring genetic and environmental risk factors, biomarkers, and future pharmacotherapy for cognitive decline and neurodegeneration by Debraj Dey, Deepannita Roy Mukherjee, Abu Shoeb, Pinki Biswas, Saikat Santra

“…Methodology: This comprehensive review evaluates diagnostic methods, biomarkers, and genetic and environmental risk factors associated with AD, focusing on recent advancements (2022–2025). …”
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Chronic Atrophic Gastritis and Intestinal Metaplasia: A Latin American Perspective by Arnoldo Riquelme, Felipe Silva, Diego Reyes, Gonzalo Latorre

“…However, obtaining mapping gastric biopsies using standardized methods such as the updated Sydney System biopsy protocol, followed by grading of chronic atrophic gastritis with or without intestinal metaplasia using the OLGA and OLGIM staging systems are preferred for GC risk stratification. …”
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Suppression of mycotoxins production and efficient chelation of heavy metals using natural melanin originated from Aspergillus flavus and Aspergillus carbonarius by Nashwa El-Gazzar, Esraa Abdo, Gamal Rabie, Manal Tawfeek El-Sayed

“…Additionally, the melanin production culture conditions were optimized. The antioxidant activity of melanin was detected with 1,1-Diphenyl-2-picrylhydrazyl (DPPH). …”
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Development of a PCR-based strategy for CYP2D6 genotyping including gene multiplication of worldwide potential use by Pedro Dorado, Macarena C. Cáceres, Eulalia Pozo-Guisado, Ma-Li Wong, Julio Licinio, Adrián Llerena

“…Several strategies and methods for CYP2D6 genotyping exist. Some, however, are expensive and laborious. …”
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Amyloidosis Screening by Biopsy During Carpal Tunnel Release: A Systematic Review and Meta-analysis by Peter C. Ferrin, MD, Gwendolyn Daly, MD, Angelo B. Lipira, MD, MA, Ravi F. Sood, MD, MS

“…Biopsies for amyloid during CTR demonstrate a high rate of positivity among at-risk populations and an opportunity for early detection of occult CA. Future studies should further refine diagnostic criteria to optimize cost-effectiveness of widespread screening.…”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Background/Objectives: This systematic review presents how neural and emotional networks are integrated into EEG-based emotion recognition, bridging the gap between cognitive neuroscience and practical applications. Methods: Following PRISMA, 64 studies were reviewed that outlined the latest feature extraction and classification developments using deep learning models such as CNNs and RNNs. …”
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Clinical and laboratory aspects of diagnosis and treatment of chronic obstructive pulmonary disease infectious exacerbations in seniors of the Ministry of Defense of Ukraine by N. V. Popenko, Ja. V. Sobkova

“…Objective – to examine the role of bacterial pathogens in COPD exacerbation development, to analyze diagnostic and therapeutic measures in Ministry of Defense of Ukraine (MDU) retired patients for the purpose of their optimization. Materials and methods. A retrospective analysis was carried out of 72 stories of MDU retired men diseases, whose average age was (71.1 ± 1.20) years with an average length of disease (7.85 ± 0.51) years. …”
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Drug hypersensitivity: Mechanisms and opportunities of laboratory diagnostics by N. V. Bychkova

“…Moreover, interaction of drugs with immune receptors of lymphocytes, according to the Pichler’s pharmaco-immune concept, has been identified, along with quick impact of drugs directly upon receptors of effector cells and signaling cascades without primary sensitization, which was previously termed as “pseudo-allergy”. To optimize therapy and prevent repeated reactions in the patients with drug hypersensitivity, high-quality diagnostics with detection of the causal allergen is required. …”
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