Simultaneous double primary malignant tumors of MSS/pMMR ascending colon cancer and MSI-H/dMMR duodenal cancer with nearly 2 years of recurrence-free survival after MDT-guided comp... by Weimin Wang, Quan Yang, Yifan He, Xuefeng Cha, Chaoxian Xiong, Xiaoxia Li, Jie Li, Pin Gao, Kun Yu

“…The exceedingly rare clinical presentation of synchronous ascending colon carcinoma with duodenal adenocarcinoma demonstrating discordant mismatch repair protein expression patterns forms the cornerstone of this investigation. …”
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Social Media Suicide Watch by Katherine Prothro

“…It may also be beneficial to have an opt-in feature that allows apps to share information with trusted health professionals or guardians. …”
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Increased observation of predictable visual stimuli in children with potential autism spectrum disorder by Mikimasa Omori

“…New evidence suggests that children with ASD may develop predictive processing abilities for repeated behaviors, providing insight into how they recognize and respond to predictable patterns. …”
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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Indeed, even the periodic patterns of the crystal structures are not seriously considered. …”
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Remote work – the new normal needs more research by Annina Ropponen

“…Harma M, Ropponen A, Hakola T, Koskinen A, Vanttola P, Puttonen S, et al. Developing register-based measures for assessment of working time patterns for epidemiologic studies. …”
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Geografia dell’automazione industriale. L’impatto dell’uso dei robot sulle localizzazioni manifatturiere by Lucia Simonetti

“…Robotics seems to be able to slow down (at least in some industrial sectors) the pace of offshoring, but it does not seem to be able to lead to the reshoring of activities to developed economies. And while labour-cost differentials still remain a key feature in firms’ decisions of where to locate manufactures, especially of goods with a high labour content, demand factors, such as the size and growth of local markets, are progressively becoming major determinants.…”
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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…The increasing complexity of malware poses significant challenges in cybersecurity due to the inability of existing methods to understand detailed and contextual relationships in modern software behavior. Therefore, developing innovative detection frameworks that can effectively analyze and interpret these complex patterns has become critical. …”
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…Furthermore, the ResNet50 model is employed for feature extraction to capture complex spatial patterns in visual data. …”
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A Network Approach for Discovering Spatially Associated Objects by Changfeng Jing, Tao Liang, Yunlong Feng, Jianing Li, Sensen Wu, Jiale Ding, Gaoran Xu, Yang Hu

“…Here, the concept of a maximum topological accessibility path was developed to quantify objects’ similarity attenuation. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…As environmental sciences increasingly rely on complex datasets, machine learning (ML) has become crucial for identifying patterns and relationships. However, the integration of ML into workflows can pose challenges due to technical barriers or the time-intensive nature of coding. …”
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Driving factors of fragmentation in urban landscapes: Local contributions, spatial relationships, and causal effects by Simin Jiang, Fei Feng, Xinna Zhang, Chengyang Xu, Baoquan Jia, Raffaele Lafortezza

“…Understanding the drivers of fragmentation is crucial for developing sustainable urban planning strategies. This study investigates the spatial patterns and driving mechanisms of landscape fragmentation in Nanchang, China, a rapidly urbanizing city. …”
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Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

“…In our simulations, individuals respond to two environmental covariates and we employ all combinations of positive and negative selection coefficients corresponding to attraction to an environmental feature and avoidance of an environmental feature, respectively. …”
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SHIFA: SBERT-Based Healthcare Information Focused Arabic Question Answering by Rahaf Alruwaithi, Sarah AlHumoud

“…The idea behind this research is to use the SBERT method for entities and context patterns to effectively capture the semantics between QA pairs in two different ways: the feature extractor and the transfer learning model. …”
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Potential of EnMAP Hyperspectral Imagery for Regional-Scale Soil Organic Matter Mapping by Yassine Bouslihim, Abdelkrim Bouasria

“…Partial Least Squares Regression (PLSR) models were developed under different pre-treatment scenarios. …”
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Living with Credit and Installment Plans: The Situation in a Southern Kazakhstan by Murat O. Nassimov

“…In modern developed economies, the prevalence of credit usage and installment plans has become a notable feature of consumer behavior. …”
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A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance by Mst Alema Khatun, Mohammad Abu Yousuf, Taskin Noor Turna, AKM Azad, Salem A. Alyami, Mohammad Ali Moni

“…Thus, we developed an ensemble activity recognition model, namely “Attention-CNN-BiLSTM with selective ML”. …”
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Assessing distortion in carbon fiber woven fabrics based on machine vision by Shiyue Li, Quanzhou Yao, Lin Ye

“…This work proposes a machine vision method to locate defective areas, identify defects, and describe fiber tow distribution patterns. A back-lighting imaging system was designed to minimize surface reflection interference, enabling high-quality fabric image acquisition. …”
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An intelligent intrusion detection system for cyber-physical systems using GAN-LSTM networks by Md Shakil Siddique, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, Nishu Nath, Joysri Rani Das, Fardowsi Rahman

“…The primary objectives are: (i) developing an adversarial learning framework where the generator synthesizes realistic attack patterns while the discriminator improves detection robustness, (ii) introducing a hybrid anomaly scoring mechanism combining reconstruction and discrimination loss, and (iii) validating performance on real-world CPS datasets (SWaT and WADI). …”
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Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning by Xiaowei Zhuang, Van Vo, Michael A. Moshi, Ketan Dhede, Nabih Ghani, Shahraiz Akbar, Ching-Lan Chang, Angelia K. Young, Erin Buttery, William Bendik, Hong Zhang, Salman Afzal, Duane Moser, Dietmar Cordes, Cassius Lockett, Daniel Gerrity, Horng-Yuan Kan, Edwin C. Oh

“…We then develop a multivariate independent component analysis (ICA)-based pipeline to transform mutation frequencies into independent sources. …”
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CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging by Salihuojia Talanti, Kerui Fu, Xiaolong Zheng, Youzhi Shi, Yimei Tan, Chenxi Liu, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

“…However, current artificial visual systems present significant challenges in device integration and multimodal operation. Here, we developed a 640×512-pixel CMOS-integrated organic neuromorphic imager featuring dual modes: standard (frame-based imaging) and synaptic (neuromorphic imaging). …”
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