The Evolving Roles of Macrophages in Organ Transplantation by Junhui Li, Cai Li, Quan Zhuang, Bo Peng, Yi Zhu, Qifa Ye, Yingzi Ming

“…The pathophysiology of graft loss is multifactorial and remains incompletely defined. However, emerging evidence suggests macrophages as crucial mediators of acute and chronic allograft immunopathology. …”
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Synthesis and evaluation of amino acid ionic liquid for enhanced oil recovery: experimental and modeling simulation studies by E. M. Mansour, R. Hosny, Ammona S. Mohamed, Fatma M. Abdelhafiz

“…Ionic liquids, known for their adaptability, are emerging as promising agents in EOR, improving oil displacement by reshaping fluid properties and interacting with reservoir rocks. …”
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Uncovering the Mechanism of Action of Antiprotozoal Agents: A Survey on Photoaffinity Labeling Strategy by Alessandro Giraudo, Cristiano Bolchi, Marco Pallavicini, Roberto Di Santo, Roberta Costi, Francesco Saccoliti

“…Among the target deconvolution strategies useful to fill this gap, photoaffinity labeling (PAL) has emerged as one of most suited to enable investigation in a complex cellular environment. …”
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Self-efficacy scale for university teaching in virtual environments, SSUTVE by Gina Chávez-Ventura, Tania Polo-López, Lilia Zegarra-Pereda, Orlando Balarezo-Aliaga, Candy Calderón-Valderrama, Sergio Dominguez-Lara

“…First, based on grounded theory, 31 university professors were interviewed in-depth, and the 10 categories that emerged were grouped into two dimensions of the construct. …”
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Barriers faced by undergraduate dental students when conducting research: a qualitative study by Mohammed Mahmoud Sarhan, Lama Nasser Aljohani, Raghad Ibrahim Alsaleh, Roze Abdulaziz Mubaraki, Malak Abdulaziz Almozaen, Rimas Sabih Alharbi

“…Results Six key themes emerged from the data analysis. The themes of “inadequate knowledge,” “time constraints” and “lack of resources” confirm and align with the findings of previous studies, while the themes “misaligned schedules,” “delayed response” and “lack of orientation” represent new insights into the barriers to research faced by undergraduate dental students. …”
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Irritable Bowel Syndrome: Gut Microbiota Dysbiosis and Psychological Co-morbidities by Bijita Bhowmick, Sharmistha Banerjee, Sanchaita Gayen, Supriya Samanta, Nilotpal Banerjee

“…It is characterised by chronic abdominal discomfort, altered bowel habits and a spectrum of symptoms that often co-exist with psychological conditions such as anxiety and depression. Emerging evidence highlights a critical imbalance in gut microbiota among individuals with IBS, underscoring the intricate gut-brain-microbiome axis. …”
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Comparative transcriptomic rhythms in the mouse and human prefrontal cortex by Jennifer N. Burns, Jennifer N. Burns, Aaron K. Jenkins, Xiangning Xue, Kaitlyn A. Petersen, Kaitlyn A. Petersen, Kyle D. Ketchesin, Kyle D. Ketchesin, Megan S. Perez, Megan S. Perez, Chelsea A. Vadnie, Madeline R. Scott, Madeline R. Scott, Marianne L. Seney, Marianne L. Seney, George C. Tseng, Colleen A. McClung, Colleen A. McClung

“…IntroductionAlterations in multiple subregions of the human prefrontal cortex (PFC) have been heavily implicated in psychiatric diseases. Moreover, emerging evidence suggests that circadian rhythms in gene expression are present across the brain, including in the PFC, and that these rhythms are altered in disease. …”
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NASSDA as a Data-Collaborative Network to Enhance Social Science Research in East Asia by Pei-Shan Liao, Shuai Wang, Hiroshi Ishida, Hearan Koo, Won-ho Park

“…International organizations that promote data sharing and collaboration among data depositories have emerged globally and regionally. Such international collaboration, however, is few in regions other than Europe and North America. …”
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Real-time classification of EEG signals using Machine Learning deployment by Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA

“…Machine learning has emerged as a powerful tool for simplifying the analysis of complex variables, enabling the effective assessment of the students' concentration levels based on specific parameters. …”
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Benign mature teratoma of the conus medullaris in a 57-year-old-female: case report and literature review by Daniel Yamba Yamba, Dramane Cissé, Oualid Mohammed Hmamouche, Faycal Lakhdar, Mohammed Benzagmout, Khalid Chakour, Mohammed El Faiz Chaoui

“…Spinal cord MRI was performed, showing a well-delineated intramedullary mass at the level of the conus medullaris. Emergent surgery was performed using a surgical microscope, and the patient underwent a total resection of the tumor after T12–L2 bilateral laminectomy. …”
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Development of Prevascularized Synthetic Block Graft for Maxillofacial Reconstruction by Borvornwut Buranawat, Abeer Shaalan, Devy F. Garna, Lucy Di Silvio

“…Synthetic biomimetic materials are emerging as alternatives to autogenous grafts. Tissue engineering aims to create natural tissue-mimicking materials, with calcium phosphate-based scaffolds showing promise for bone regeneration applications. …”
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Impact of Frequency Heterogeneity on Mutually Synchronized Spatially Distributed 24 GHz PLLs by Christian Hoyer, Jens Wagner, Frank Ellinger

“…Furthermore, this analysis indicates that detuning not only affects the range of time delays at which stable synchronized states emerge between PLL nodes, but also limits the allowable range of initial phase differences for stable synchronization. …”
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Immunomodulatory Effects of 1,25-Dihydroxyvitamin D3 on Dendritic Cells Promote Induction of T Cell Hyporesponsiveness to Myelin-Derived Antigens by Wai-Ping Lee, Barbara Willekens, Patrick Cras, Herman Goossens, Eva Martínez-Cáceres, Zwi N. Berneman, Nathalie Cools

“…While emerging evidence indicates that dendritic cells (DC) play a central role in the pathogenesis of multiple sclerosis (MS), their modulation with immunoregulatory agents provides prospect as disease-modifying therapy. …”
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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

“…Consequently, the need for cross-stack performance benchmarking of AI-HPC systems has rapidly emerged. In particular, the de facto HPC benchmark, LINPACK, cannot reflect the AI computing power and input/output performance without a representative workload. …”
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Low-dose intranasal deferoxamine modulates memory, neuroinflammation, and the neuronal transcriptome in the streptozotocin rodent model of Alzheimer’s disease by Jared M. Fine, Jacob Kosyakovsky, Tate T. Bowe, Katherine A. Faltesek, Benjamin M. Stroebel, Juan E. Abrahante, Michael R. Kelly, Elizabeth A. Thompson, Claire M. Westby, Kiley M. Robertson, William H. Frey, Leah R. Hanson

“…IntroductionIntranasal (IN) deferoxamine (DFO) has emerged over the past decade as a promising therapeutic in preclinical experiments across neurodegenerative and neurovascular diseases. …”
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Circularity in textile waste: Challenges and pathways to sustainability by Saloua Biyada, Jaunius Urbonavičius

“…Emerging fast fashion concepts in the textile industry have contributed to the over-consumption of clothing and the consequent over-production of waste. …”
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Continuously tracking of moving object by a combination of ultra-high frequency radio-frequency identification and laser range finder by Yulu Fu, Ran Liu, Hua Zhang, Gaoli Liang, Shafiq ur Rehman, Lixiang Liu

“…Due to the unique and contactless way of identification, radio-frequency identification is becoming an emerging technology for objects tracking. As radio-frequency identification does not provide any distance or bearing information, positioning using radio-frequency identification sensor itself is challenging. …”
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Inflammation mediates the association between muscle mass and accelerated phenotypic aging: results from the NHANES 2011–2018 by Shifu Bao, Shifu Bao, Weibu Jimu, Weibu Jimu, Nai Mu, Fang Yan, Shuxing Xing, Tao Li, Zheng Zhou

“…The association varied notably across demographic and health-related subgroups, being particularly significant in females, individuals with obesity, and those with lower physical activity.ConclusionThese findings highlight the critical importance of muscle mass in slowing biological aging, with systemic inflammation emerging as a key biological mediator. The public health implications are substantial, suggesting that targeted interventions—such as resistance training, anti-inflammatory diets, and personalized medical approaches—could play a pivotal role in decelerating biological aging and improving long-term health outcomes.…”
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Correlation of artificial neural network and multi-attribute transformation: a test case to predict the effective porosity of Cretaceous sandstones of the Sembar Formation, southea... by Furqan Aftab, Furqan Aftab, Furqan Aftab, Furqan Aftab, Mohammad Zafar, Muhammad Iqbal Hajana, John H. Shaw

“…Artificial Neural Network’s (ANN’s) have emerged as an effective tool for deriving nonlinear mathematical relationships between seismic attributes and well logs that are theoretically plausible and may prove geologically realistic. …”
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Impact of Physical and Psychological Strain on Work-Related Musculoskeletal Disorders: A Cross-Sectional Study in the Construction Industry by Abdul Kadir MSc, Riza Yosia Sunindijo PhD, Baiduri Widanarko PhD, Dadan Erwandi PhD, Sjahrul M. Nasri PhD, Bangga Agung Satrya MKM, Stevan Deby Anbiya Muhamad Sunarno PhD, Hardy Atmajaya MT, Popy Yuniar PhD, Tubagus Dwika Yuantoko MKKK, Lailatul Qomariyah PhD, Cynthia Febrina Maharani PhD

“…Psychological distress emerged as a particularly strong predictor to these disorders. …”
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