Malarial pigment-induced lipoperoxidation, inhibited motility and decreased CCR2 and TNFR1/2 expression on human monocytes by Oleksii Skorokhod, Valentina Barrera, Elena Valente, Daniela Ulliers, Koji Uchida, Evelin Schwarzer

“…Objective: Malaria remains an important life-threatening disease that provokes a complex immune response, marked by an initial immune boost followed by long-term suppression, warranting further study. …”
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A Differential Approach to Choosing Extracorporeal Detoxification Methods for Abdominal Sepsis by L. Ye Shukevich, Yu. A. Churlyaev, Ye. V. Grigoryev, D. L. Shukevich, K. N. Kondyukov, A. S. Razumov

“…A differential approach to choosing the methods of extracorporeal detoxification in the complex treatment of abdominal sepsis in the context of endogenous intoxication in order to enhance the efficiency of medical measures was pathogeneti-cally substantiated. …”
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Autonomous Vehicle Security: Hybrid Threat Modeling Approach by Amal Yousseef, Yu-Zheng Lin, Shalaka Satam, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Salim Hariri, Pratik Satam

“…Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, AV architectures' increasing connectivity and complexity have introduced significant cybersecurity risks. …”
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Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning by Amani Saad Althiban, Hajar M. Alharbi, Lama A. Al Khuzayem, Fathy Elbouraey Eassa

“…Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as systems approach exa-scale operations. …”
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Chemical analysis using miniaturized and Portable 3D printed systems: Where are we now? by Miryam Perrucci, Imran Ali, Fotouh R. Mansour, Halil I. Ulusoy, Songül Ulusoy, Abuzar Kabir, Ornella Abollino, Agnese Giacomino, Paolo Inaudi, Marcello Locatelli, Erika Maria Ricci

“…Interest in miniaturized systems is further fueled by the theoretical principle that reducing flow rates enhances the surface-to-volume ratio, thereby improving detection sensitivity.Building on this theoretical foundation—particularly the goals of portability, efficient sampling, and on site analysis—innovative approaches such as microfluidics and 3D printing have been employed to develop compact fluidic systems. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QSVM employs quantum kernels to map data into a higher-dimensional Hilbert space, so that the model can detect complex patterns in MM drug resistance. qPCA reduces dimensionality without loss of important variance, and thus improves computation efficiency. …”
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The effect of dietary transition on infant microbiota composition and metabolic activity captured with the simulator of the human intestinal microbial ecosystem (SHIME) by Shadi Pakroo, Samira Soltani, Armin Tarrah, Gisèle LaPointe

“…A reduction in butyrate concentration following the transition to adult feed may reflect a temporary shift in microbial metabolic activity rather than a long-term impact on energy extraction efficiency in vivo.…”
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Single-Phase Bridgeless Three-Level Power Factor Correction Topologies Based on the Embedded Construction Scheme by Tianyue Wang, Hui Ma, Wenjing Li, Guixi Miao, Qingsong Zhao, Meng Si, Yun Lu

“…The circuit can work in the PFC mode under the rated working conditions and reflects the characteristics of three levels. The circuit can respond quickly and work normally under a variety of complex working conditions and can work in a diode rectification mode when the driving voltage signal is lost. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Discussion An autoencoder is a type of artificial neural network used for learning efficient encoding of unlabeled data (unsupervised learning). …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Submodule capacitor aging poses significant challenges to the safe operation of modular multilevel converter (MMC) systems. Traditional detection methods rely predominantly on offline tests, lacking real-time evaluation capabilities. …”
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Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II by Jun Xiang, Jianhong Chen, Aishu Zhang, Xing Zhao, Shengyuan Zhuo, Shan Yang

“…With the increasing demand for mineral resources, sustainable mining development faces challenges such as low resource utilization efficiency. Ore blending optimization has emerged as a critical approach to enhance resource utilization. …”
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Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru by Eduardo E. Villavicencio, Katy D. Medina, Edwin A. Loarte, Hairo A. León

“…However, the availability of meteorological information in areas of complex topography is difficult, as the density of weather stations is often very low. …”
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A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

“…Lithology identification is crucial for understanding the characteristics of reservoirs, optimizing development plans, and enhancing development efficiency. For shale oil formations, the mineral composition is complex and the lithological combinations are diverse, which imposes limitations on conventional well logging interpretation for lithology identification.LithoScanner Logging is a method for quantifying mineral content; however, discrepancies persist between logging-derived mineral content and core experimental results in the actual exploration and development process. …”
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Can Correct and Incorrect Worked Examples Supersede Worked Examples and Problem-Solving on Learning Linear Equations? An Examination from Cognitive Load and Motivation Perspectives by Bing Hiong Ngu, Ouhao Chen, Huy P. Phan, Hasbee Usop, Philip Nuli Anding

“…A student’s indication of optimal best, reflecting what is known as the ‘realistic–optimal achievement bests dichotomy’, aligns with his or her belief in their ability to perform tasks of varying complexity (simple task vs. complex task). …”
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Comprehensive treatment of patients with community-acquired pneumonia by N. E. Chernekhovskaya, I. Yu. Korzheva, I. M. Maltseva, A. V. Povalyaev

“…Blood flow fluctuations were determined and the microcirculation efficiency index (MEI) was calculated.Results. All tested microcirculation parameters in patients with pneumonia were lower compared with healthy individuals. …”
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Conserved structural topologies in RNase A-like and trypsin-like serine proteases: a sequence-based folding analysis by K. M. Ahsanul Kabir, Takuya Takahashi, Takeshi Kikuchi

“…Abstract Background Protein folding is a complex process in which amino acid sequences encode the information required for a polypeptide chain to fold into its functional three-dimensional (3D) structure. …”
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Preserving the Past: A Dynamic Analysis of Heritage Tourism and Land Conservation in Mamluk Cairo by Amany E. Salem, Ahmed Tawhid Eissa, Thowayeb H. Hassan, Mahmoud I. Saleh

“…The SVC considers operating hours, site capacity, and walking time, while the SVI holistically evaluates time efficiency, spatial distribution, and physical comfort. …”
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From Structure to Diagnosis in medical education: An Analysis of Linguistic Features in Iranian Medical Reporting by Mahboub Amani, Nader Asadi, Masoud Zoghi

“…Complex clauses appeared in 60% of the reports, integrating diagnostic observations concisely. …”
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Residual stresses in cold-formed steel sections: An overview of influences and measurement techniques by Ayad Mutafi, J.M. Irwan, Noorfaizal Yidris, Abdullah Faisal Alshalif, Yazid Saif, Hamdi Abdulrahman, Ala Mutaafi, Yasser Yahya Al-Ashmori, Mugahed Amran, Nelson Maureira-Carsalade, Siva Avudaiappan

“…The study concludes that while analytical methods are effective, they become complex when accounting for material anisotropy. Laboratory techniques provide reliable measurements but are limited in detecting through-thickness residual stresses. …”
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Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine by Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli

“…The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. In human medicine, AI has been extensively studied, improving the identification of thoracic abnormalities, diagnostic precision in emergencies, and the classification of complex conditions such as tuberculosis, pneumonia, and COVID-19. …”
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