Development of a stereo vision-based UGV guidance system for bareroot forest nurseries by Sharif Shabani, Ashish R. Mulaka, Thomas A. Stokes, Tanzeel U. Rehman, Yin Bao

“…A depth image processing algorithm based on the Hough transform was employed to detect bed edge-lines, with the image-derived relative bed angle serving as the error signal for a proportional controller that corrected the vehicle’s heading and lateral deviation relative to the bed. …”
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Nanoparticles Enhanced Laser-Induced Breakdown Spectroscopy for Characterisation and Discrimination of Gemstones by Al-Juboori Haider, Haider Zhaib, Hang Wei, Roslan Sufi

“…Our objective is to explore enhancing spectral features and performing discriminant analysis using the PLS-DA algorithm. Nanoparticles (NPs) were deposited in two layers by sequentially drying two drops (2µL) of a colloidal solution of 20nm gold nanoparticles (AuNPs) on the sample surface. …”
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Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data by S. R. Mani Sekhar, D. M. Mushtaq Ahmed, G. M. Siddesh

“…Leveraging the vast amount of data generated by Smart City infrastructure, this study integrates advanced data analysis techniques with deep learning models to enhance the urban living experience. …”
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A solving new method for the urea-selective catalytic reduction (SCR) system in a diesel engine using coupled hyperbolic-parabolic partial differential equations (PDEs) by Wenlong Liu, Ying Gao, Yuelin You, Changwen Jiang, Taoyi Hua, Bocong Xia

“…To control the diesel engine urea SCR system with high accuracy, firstly, the partial differential equations of the SCR system are simplified through variable substitution and the method of characteristic lines to eliminate the partial derivative terms of the hyperbolic partial differential equations in the flow direction. …”
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Unraveling C-to-U RNA editing events from direct RNA sequencing by Adriano Fonzino, Caterina Manzari, Paola Spadavecchia, Uday Munagala, Serena Torrini, Silvestro Conticello, Graziano Pesole, Ernesto Picardi

“…Direct RNA sequencing by Oxford Nanopore Technology (ONT) permits the direct detection of Us on sequenced RNA reads. …”
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What Can DKIST/DL-NIRSP Tell Us about Quiet-Sun Magnetism? by Jiayi Liu, Xudong Sun, Peter W. Schuck, Sarah A. Jaeggli

“…In this paper, we assess the diagnostic capability of the Diffraction Limited Near Infrared Spectropolarimeter (DL-NIRSP) instrument on DKIST for the energy transport processes in the quiet-Sun photosphere. …”
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The Development Path and Carbon-Reduction Method of Low-Carbon Pilot Urban Areas in China by Lining Zhou, Qingqin Wang, Haizhu Zhou, Yiqiang Jiang, Rongxin Yin, Tong Lu

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Non-Destructive Thickness Measurement of Energy Storage Electrodes via Terahertz Technology by Zhengxian Gao, Xiaoqing Jia, Jin Wang, Zhijun Zhou, Jianyong Wang, Dongshan Wei, Xuecou Tu, Lin Kang, Jian Chen, Dengzhi Chen, Peiheng Wu

“…The developed approach integrates three key technological advancements. …”
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Disentangling High-Paced Alternating I/O in Gaze-Based Interaction by Yulia G. Shevtsova, Artem S. Yashin, Sergei L. Shishkin, Anatoly N. Vasilyev

“…Gaze-based input to machines utilizes the ability of eye-gaze to serve as a user’s “output.” However, gaze should also support information flow in the opposite direction, namely, “input” to the user’s visual system from a machine’s output. …”
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Maize Threshing and Separating Device for Primary Seed Production by A. G. Pastukhov, D. N. Bakharev

“…The development of domestic primary maize seed production requires the development of new threshing devices capable to minimize seed grains macro- and microdamage. …”
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PTK6 mediated immune signatures revealed by single cell transcriptomic and multi omics big data analysis in cervical cancer by Fen Zhao, Huanxin Zhong, Lifang You, Yi Du, Changchang Huang

“…Methods We analyzed TCGA and GEO transcriptomic data with single-cell RNA sequencing datasets. Fifteen machine learning algorithms constructed prognostic models using immune infiltration-related genes. …”
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The diagnostic and prognostic capability of artificial intelligence in spinal cord injury: A systematic review by Saran Singh Gill, Hariharan Subbiah Ponniah, Sho Giersztein, Rishi Miriyala Anantharaj, Srikar Reddy Namireddy, Joshua Killilea, DanieleS.C. Ramsay, Ahmed Salih, Ahkash Thavarajasingam, Daniel Scurtu, Dragan Jankovic, Salvatore Russo, Andreas Kramer, Santhosh G. Thavarajasingam

“…Conclusion: AI demonstrates strong diagnostic accuracy (mean accuracy: 0.898) and moderate prognostic capability (mean AUC: 0.770) for tSCI. …”
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Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmatio... by Muqing Yan, Qiandong Zeng, Zhenxi Zhang, Patricia Okamoto, Stanley Letovsky, Angela Kenyon, Natalia Leach, Jennifer Reiner

“…Furthermore, testing on an independent set of heterozygous SNVs (n = 93) detected by exome sequencing of patient samples and cell lines demonstrated 100% accuracy. …”
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The late extramedullary relapse of the multiple myeloma with a predominant lesion of the duodenum and pancreas (clinical observation and mini-review) by O. A. Rukavitsyn, E. V. Kryukov, V. N. Troyan, S. V. Kozyrev, V. P. Pop, V. V. Pravosudov, P. I. Simashova, M. V. Drozd, Yu. Е. Popkov, S. A. Alekseev, E. R. Sapelnikova

“…A rare case of the multiple myeloma is written. The patient developed the extramedullary lesions with a primary lesion of the duodenum as a massive plasmacytoma with the bleeding, as well as damage to the pancreas and lymph nodes. …”
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Novel Insights into Non-Invasive Diagnostic Techniques for Cardiac Amyloidosis: A Critical Review by Marco Maria Dicorato, Paolo Basile, Giuseppe Muscogiuri, Maria Cristina Carella, Maria Ludovica Naccarati, Ilaria Dentamaro, Marco Guglielmo, Andrea Baggiano, Saima Mushtaq, Laura Fusini, Gianluca Pontone, Cinzia Forleo, Marco Matteo Ciccone, Andrea Igoren Guaricci

“…Cardiac amyloidosis (CA) is a cardiac storage disease caused by the progressive extracellular deposition of misfolded proteins in the myocardium. …”
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Impact of tertiary lymphoid structure-associated biomarkers on pancreatic cancer via a dual-disease analysis of psoriasis and pancreatic cancer by Hao Yu, Quan Yuan, Liu-Xing Feng, Jia-Huan Xu, Shen-Yuan Zhan, Zhi-min Li, Shuang-Jia Wang

“…Abstract Pancreatic cancer (PC), often referred to as the “king of cancers”, has demonstrated limited success with immunotherapies, many of which are still under development. …”
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Penerapan Feature Engineering dan Hyperparameter Tuning untuk Meningkatkan Akurasi Model Random Forest pada Klasifikasi Risiko Kredit by Nadea Putri Nur Fauzi, Siti Khomsah, Aditya Dwi Putra Wicaksono

“…Pola pengetahuan risiko kredit bisa diketahui dari data-data historikal sehingga data pengajuan kredit baru bisa ketahui risikonya lebih awal. …”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…These sections are clearly marked in the summary. Background Type 1 diabetes mellitus (T1DM) was formerly known as insulin-dependent diabetes. …”
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Association of microtubule-based processes gene expression with immune microenvironment and its predictive value for drug response in oestrogen receptor-positive breast cancer by Zhenfeng Huang, Minghui Zhang, Nana Zhang, Mengyao Zeng, Yao Qian, Meng Zhu, Xiangyan Meng, Ming Shan, Guoqiang Zhang, Feng Liu

“…Single-cell analysis revealed differences in the expression levels of key genes among various cell types. …”
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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…A diagnostic panel was developed through machine learning of SMFs in the discovery cohort and validated in independent verification and set-aside validation cohorts. …”
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