Transfer-Learning Approach for Enhanced Brain Tumor Classification in MRI Imaging by Amarnath Amarnath, Ali Al Bataineh, Jeremy A. Hansen

“…Results: Our findings indicate that these models can improve the accuracy of MRI analysis for brain tumor classification, with the Xception model achieving the highest performance with a test F1 score of 0.9817, followed by EfficientNetV2-S with a test F1 score of 0.9629. Conclusions: Implementing pre-trained deep learning models can enhance MRI accuracy for detecting brain tumors.…”
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Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching by Jan Zubáč, Miloslav Surýnek, Kamil Olejník, Andrej Farkaš, Filip Krizek, Lukáš Nádvorník, Peter Kubaščík, Zdeněk Kašpar, František Trojánek, Richard P. Campion, Vít Novák, Petr Němec, Tomáš Jungwirth

“…Abstract Solving complex tasks in a modern information‐driven society requires novel materials and concepts for energy‐efficient hardware. …”
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Genomic and Functional Analysis of a Novel Yeast <i>Cyberlindnera fabianii</i> TBRC 4498 for High-Yield Xylitol Production by Pawarin Bonthong, Benjarat Bunterngsook, Wuttichai Mhuantong, Katesuda Aiewviriyasakul, Wipawee Sritusnee, Verawat Champreda, Hataikarn Lekakarn

“…The development of yeast cell factories for efficient xylose utilization and xylitol production is crucial for advancing sustainable biotechnological processes. …”
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IoT Based Meat Freshness Classification Using Deep Learning by Zarif Wasif Bhuiyan, Syed Ali Redwanul Haider, Adiba Haque, Mohammad Rejwan Uddin, Mahady Hasan

“…The custom CNN showed a clear advantage in handling the complex image data, particularly in distinguishing between beef and mutton species as well as their freshness levels. …”
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Coexpression network analysis in abdominal and gluteal adipose tissue reveals regulatory genetic loci for metabolic syndrome and related phenotypes. by Josine L Min, George Nicholson, Ingileif Halgrimsdottir, Kristian Almstrup, Andreas Petri, Amy Barrett, Mary Travers, Nigel W Rayner, Reedik Mägi, Fredrik H Pettersson, John Broxholme, Matt J Neville, Quin F Wills, Jane Cheeseman, GIANT Consortium, MolPAGE Consortium, Maxine Allen, Chris C Holmes, Tim D Spector, Jan Fleckner, Mark I McCarthy, Fredrik Karpe, Cecilia M Lindgren, Krina T Zondervan

“…Since many genes and their interactions influence complex traits such as MetS, integrated analysis of genotypes and coexpression networks across multiple tissues relevant to clinical traits is an efficient strategy to identify novel associations.…”
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Anaerobic digestion of microalgae: microbial response and recovery after organic loading disturbances by Juline M. Walter, Silvia Greses, Live H. Hagen, Valerie C. Schiml, Phillip B. Pope, Cristina González-Fernández, Magnus Ø Arntzen

“…ABSTRACT Industrial anaerobic digestion (AD) represents a relevant energy source beyond today’s fossil fuels, wherein organic matter is recycled to methane gas via an intricate and complex microbial food web. Despite its potential, anaerobic reactors often undergo process instability over time, which is frequently caused by substrate composition perturbations, making the system unreliable for stable energy production. …”
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Establishing a universal IVRP method for quadrivalent HPV vaccines to replace in vivo potency tests by Jinpan Hu, Zijing Jia, Meng Wang, Lingling Nie, Wangjun Fu, Qingfeng Zhang, Haiyang Qin, Jianhui Nie, Xiaoyu Xu, Lingjie Xu, Fengze Wang, Yingping Chen, Bo Xing, Tao Li, Danfeng Li, Shaowei Li, Ningshao Xia, Xiangxi Wang, Weijin Huang

“…The IVRP results were correlated with potency data from mouse models, offering an efficient alternative to in vivo potency experiments.…”
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Gas Chromatography of Environmentally Active Aromatic Amines in Industrial Dyes Effluents and Human Blood Serum by Asma Chanar, Taj Muhammad Khuhawar, Muhammad Khuhawar, Muzamil Khuhawar, Saima Ghoto, Muhammad Lanjwani

“…Linear calibration range of each of the compound was obtained with 1-20 ng/ml with coefficient of determination (r2) 0.9969-0.9970. Limits of detections (LOD) calculated as indication to 3:1 noise ratio was within 0.10-0.99 ng/ml. …”
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Determination of malachite green in sediment by ultra performance liquid chromatography-mass spectrometry by Mei Guangming, Guo Yuanming, Zhang Xiaojun, Yan Zhongyong, Li Peipei, You Juju, Ding Yueping

“…The mass spectrometer was performed using multiple reaction monitoring (MRM) with electrospray ionization in positive mode.Under the optimized conditions, the analytes were in good linearity in the range of 0.05 10.0 μg/L with the correlation coefficients (r) all above 0.995. The limits of detection were 0.03, 0.07 μg/kg for MG and LMG, and limits of quantity were 0.10, 0.20 μg/kg, respectively. …”
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Feasibility of simplified Patlak parametric imaging with scaled population-based input function on pancreatic cancer by Zhixin Hao, Haiqiong Zhang, Yonghong Dang, Jiangdong Qiu, Mengshi Yan, Xinchun Yan, Zhenghai Huang, Chao Ren, Taiping Zhang, Wenming Wu, Li Huo

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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…This work sets a new standard in AI-text detection methodologies, enhancing reliability, efficiency, and scalability for real-world applications.…”
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A Composite Vision-Based Method for Post-Assembly Dimensional Inspection of Engine Oil Seals by Yu Li, Jing Zhao, Xingyu Gao, Weiming Li, Rongtong Jin, Guohao Tang, Yang Huang, Shuibiao Chen

“…Compared with existing methods, the proposed approach not only enhances detection accuracy and efficiency but also provides a practical and reliable solution for real-time monitoring of engine oil seal assembly dimensions, highlighting its substantial industrial application potential.…”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. …”
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Deep sequencing of yeast and mouse tRNAs and tRNA fragments using OTTR by Hans Tobias Gustafsson, Lucas Ferguson, Carolina Galan, Tianxiong Yu, Heather Upton, Ebru Kaymak, Zhiping Weng, Kathleen Collins, Oliver J Rando

“…Applying this protocol to mature mouse spermatozoa, our data dramatically alter our understanding of the small RNA cargo of mature mammalian sperm, revealing a far more complex population of tRNA fragments – including both 5′ and 3′ tRNA halves derived from the majority of tRNAs – than previously appreciated. …”
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Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

“…Objective Lambing in ewes is a complex and crucial aspect of sheep production that directly influences economic viability and production efficiency. …”
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Evaluation of long-read sequencing for Ostreid herpesvirus type 1 genome characterization from Magallana gigas infected tissues by Aurélie Dotto-Maurel, Camille Pelletier, Lionel Degremont, Serge Heurtebise, Isabelle Arzul, Benjamin Morga, Germain Chevignon

“…ABSTRACT Since the 1990s, the Pacific oyster Magallana gigas has faced significant mortality, which has been associated with the detection of the Ostreid Herpesvirus type 1 (OsHV-1). …”
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A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

“…These two noise types often coexist in large-scale regions, yet most existing parameterized algorithms are designed to address only one, limiting their denoising effectiveness in complex environments. To address this challenge, a robust nonparametric density estimation algorithm is proposed to efficiently remove nonrandom noise while ensuring accurate surface elevation retrieval. …”
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Using RE-AIM to inform the adaptation of a clinical decision support application for hypertension disorders of pregnancy: a qualitative study of provider perspectives by Shannon Marie Canfield, Yarrow Stanley, Parijat Ghosh, Amy Braddock, Randi Foraker

“…Home BP monitoring could aid in timely risk assessment, early detection of complications, and medication adjustments. …”
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Introducing HeliEns: A Novel Hybrid Ensemble Learning Algorithm for Early Diagnosis of <i>Helicobacter pylori</i> Infection by Sultan Noman Qasem

“…Recent advancements in machine learning (ML) and quantum machine learning (QML) offer promising non-invasive alternatives capable of analyzing complex datasets to identify patterns not easily discernible by human analysis. …”
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