Tattoo ink exposure is associated with lymphoma and skin cancers – a Danish study of twins by Signe Bedsted Clemmensen, Jonas Mengel-From, Jaakko Kaprio, Henrik Frederiksen, Jacob von Bornemann Hjelmborg

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ACOX1 activates autophagy via the ROS/mTOR pathway to suppress proliferation and migration of colorectal cancer by Bo Shi, Junjie Chen, Haoran Guo, Xinyu Shi, Qingliang Tai, Guoliang Chen, Huihui Yao, Xiuwei Mi, Runze Zhong, Yang Lu, Yiyuan Zhao, Liang Sun, Diyuan Zhou, Yizhou Yao, Songbing He

“…Through analysis of the GEO dataset, it was found that ACOX1 is significantly downregulated in colorectal cancer (CRC), and this lower expression level is associated with a worse prognosis. …”
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PLCG2 and IFNAR1: The Potential Biomarkers Mediated by Immune Infiltration and Osteoclast Differentiation of Ankylosing Spondylitis in the Peripheral Blood by Bo Han, Qiaobo Xie, Weishi Liang, Peng Yin, Xianjun Qu, Yong Hai

“…GSE25101 from the Gene Expression Omnibus was used to obtain AS-associated microarray datasets. We performed bioinformatics analysis using R software to validate different expression levels. …”
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Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products by Van Thuy Hoang, Tien-Bach-Thanh do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee

“…Extensive experiments on the cosmetic dataset over halal prediction tasks demonstrate the superiority of our model over state-of-the-art baselines.…”
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Regional Exploration and Characterisation of CO2 Storage Prospects in the Utsira-Skade Aquifer, North Viking Graben, North Sea by C. Lloyd, M. Huuse, B. J. Barrett, A. M. W. Newton

“…A high-resolution, broadband 3D seismic reflection dataset, full waveform inverted velocity data and 102 exploration wells are utilised to provide a catalogue of CO2 storage prospects in the northern Utsira-Skade Aquifer. …”
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NF-κB Signaling in the Brain of Autistic Subjects by Mazhar Malik, Zujaja Tauqeer, Ashfaq M. Sheikh, Guang Wen, Amenah Nagori, Kun Yang, W. Ted Brown, Xiaohong Li

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High-Fidelity Depth Map Reconstruction System With RGB-Guided Super Resolution CNN and Cross-Calibrated Chaos LiDAR by Yu-Chun Ding, Chia-Yu Chang, Pei-Rong Li, Chao-Tsung Huang, Yung-Chen Lin, Tsung Chen, Wei-Lun Lin, Cheng-Ting Lee, Fan-Yi Lin, Yuan-Hao Huang

“…Second, the lack of large-scale real-world LiDAR datasets is addressed by generating a large-scale synthetic dataset and adopting transfer learning. …”
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Community credit scores and community socioeconomic deprivation in association with type 2 diabetes across an urban to rural spectrum in Pennsylvania: a case–control study by Jonathan Pollak, Melissa N Poulsen, Karen Bandeen-Roche, Katherine Moon, Joseph DeWalle, Annemarie G Hirsch, Brian S Schwartz, Lorraine Dean, Meghann Reeder

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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…ObjectiveThis study aim to leverage advanced machine learning techniques to develop and validate novel MRI imaging features and single nucleotide polymorphism (SNP) gene data fusion methodologies to enhance the early identification and diagnosis of Parkinson’s disease (PD).MethodsWe leveraged a comprehensive dataset from the Parkinson’s Progression Markers Initiative (PPMI), which includes high-resolution neuroimaging data, genetic single-nucleotide polymorphism (SNP) profiles, and detailed clinical information from individuals with early-stage PD and healthy controls. …”
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Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

“…<b>Background:</b> The objective was to test the generalisability of electroencephalography (EEG) markers of future pain using two independent datasets. <b>Methods:</b> Datasets, A [N = 20] and B [N = 35], were collected from participants with subacute spinal cord injury who did not have neuropathic pain at the time of recording. …”
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Enhanced Visual Attentional Modulation in Patients with Inherited Peripheral Retinal Degeneration in the Absence of Cortical Degeneration by Sónia Ferreira, Andreia Carvalho Pereira, Bruno Quendera, Aldina Reis, Eduardo Duarte Silva, Miguel Castelo-Branco

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Klasifikasi Tingkat Dehidrasi Berdasarkan Kondisi Urine, Denyut Jantung dan Laju Pernapasan by Rizal Maulana, Muhammad Rheza Caesardi, Eko Setiawan

“…The system is designed to be easy to use independently and provides real-time classification results. There are 75 datasets used in this paper, obtained from diarrhea patients in a hospital in Malang. …”
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MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation by Liang Xu, Mingxiao Chen, Yi Cheng, Pengwu Song, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

“…We evaluate our proposed MCPA model on several publicly available medical image datasets from different tasks and devices, including the open large-scale dataset of CT (Synapse), MRI (ACDC), and widely used 2D medical imaging datasets captured by fundus camera (DRIVE, CHASE $$\_$$ _ DB1, HRF), and OCTA (ROSE). …”
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Postoperative Complications of Laparoscopic Total Gastrectomy versus Open Total Gastrectomy for Gastric Cancer in a Meta-Analysis of High-Quality Case-Controlled Studies by Mikito Inokuchi, Sho Otsuki, Norihito Ogawa, Toshiro Tanioka, Keisuke Okuno, Kentaro Gokita, Tatsuyuki Kawano, Kazuyuki Kojima

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Peramalan Pencemaran Udara Di Kota Surabaya Menggunakan Metode DSARIMA dengan Pendekatan Percentile Error Bootstrap (PEB) by Novi Koesoemaningroem, Endroyono Endroyono, Supeno Mardi Susiki Nugroho

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Functional and effective EEG connectivity patterns in Alzheimer’s disease and mild cognitive impairment: a systematic review by Elizabeth R. Paitel, Christian B. D. Otteman, Mary C. Polking, Henry J. Licht, Kristy A. Nielson, Kristy A. Nielson

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Menopause and obstructive sleep apnea: revealing an independent mediating role of visceral fat beyond body mass index by Yuhan Wang, Hailing Liu, Beini Zhou, Wuriliga Yue, Mengcan Wang, Ke Hu

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Characterization and Selection of WiFi Channel State Information Features for Human Activity Detection in a Smart Public Transportation System by Roya Alizadeh, Yvon Savaria, Chahe Nerguizian

“…We analyze a public WiFi-based activity recognition (WiAR) dataset to extract human activity features from Channel State Information (CSI) data. …”
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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

“…The nnUNet model was used as a baseline, pre-trained on a large-scale head and neck dataset, and then fine-tuned with 4,729 LNs from hospital A for detection and segmentation. …”
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Anxiety and depression in primary knee osteoarthritis patients: are they related to clinical features and radiographic changes? by Yasmin A. Abd Elhamid, Ghada S. Elazkalany, Marwa H. Niazy, Angie Y. Afifi

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