BMSCs Interactions with Adventitial Fibroblasts Display Smooth Muscle Cell Lineage Potential in Differentiation and Migration That Contributes to Neointimal Formation by Y. Wendan, J. Changzhu, S. Xuhong, C. Hongjing, S. Hong, Y. Dongxia, X. Fang

“…Migration ability of BMSCs with DAPI-labeled nuclei was measured by laser confocal microscopy. …”
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Mesenchymal Stem Cells Combined with Tissue Fusion Technology Promoted Wound Healing in Porcine Bowel Anastomosis by Hong Pan, Ping Keun Lam, See W. Tong, Kevin K. Leung, Anthony Y. Teoh, Enders K. Ng

“…The number of proliferating cell nuclear antigen- (PCNA-) positive cells was significantly higher in the MSC-treated group as compared with that in the control group (P=0.021). Labeled MSCs were found in the mucosal layer, villus, and lamina propria, as well as in the lamina muscularis mucosae, where they exhibited characteristics of smooth muscle cells. …”
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Melissopalynological and Volatile Compounds Analysis of Buckwheat Honey from Different Geographical Origins and Their Role in Botanical Determination by Sara Panseri, Alessandra Manzo, Luca Maria Chiesa, Annamaria Giorgi

“…In this work, we investigated the volatile profile of honeys, commercially labeled as buckwheat honeys, from the Alps and its relationship with melissopalynological investigation. …”
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IoT-Based Library Automation & Monitoring system: Developing an Implementation framework by Majid Bayani, Alberto Segura, Marjorie Alvarado, Mayra Loaiza

“…The continuous monitoring of books in real time and the tracking of labeled objects geographically are some desirable characteristics that result from the use of the IoT tags. …”
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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

“…Thus, in this study, we developed a model for intraoperative cytological segmentation of pulmonary lesions based on the YOLOv8 algorithm, which labels each instance by segmenting the image at the pixel level. …”
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Simultaneous Detection of Different MicroRNA Types Using the ZIP-Code Array System by Sonja U. Weishaupt, Steffen Rupp, Karin Lemuth

“…Here we present a ZIP-code DNA microarray-based system in combination with a novel labeling approach, which enables the simultaneous detection of precursor and mature miRNAs in one single experiment. …”
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Pirfenidone: An Encouraging Therapeutic Approach For Enhancing Lateral Spinothalamic Tract Function After Spinal Cord Compression Injury by Noman Ullah Wazir, Ambereen Humayun, Irum Javaid, Asma Amir, Nayyab Khattak, Ayesha Iftikhar

“…Subsequently, each group was further divided into two sub-groups, labelled as groups 1 (14 days experimental duration) and 2 (28 days experimental duration), each consisting of 5 rats. …”
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SEMbeddings: how to evaluate model misfit before data collection using large-language models by Tommaso Feraco, Enrico Toffalini

“…In this paper, we introduce a novel tool, which we label SEMbeddings.MethodsThis tool integrates mpnet-personality (a fine-tuned embedding model) with latent measurement models to assess model fit or misfit prior to data collection. …”
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Modelling the Embedded Control System Using iUML-B Pattern State Machine by Han Peng, Chenglie Du, Lei Rao, Zhouzhou Liu

“…The system model expressed using the iUML-B pattern state machine can be easily mapped to the labelled transition system so as to verify the behavioural properties of the model.…”
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Rhinitis medicamentosa: a nationwide survey of Canadian otolaryngologists by James Fowler, Christopher J. Chin, Emad Massoud

“…It was felt the warning labels on the topical medications are not currently satisfactory.…”
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The Homeopathic Preparation Neurexan® vs. Valerian for the Treatment of Insomnia: An Observational Study by Rainer Waldschütz, Peter Klein

“…Here we report on an open-label, prospective cohort study in 89 German centers offering both conventional and complementary therapies. …”
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Comparison of DNA Extraction Methods for the Detection of Canned Tuna Species with DNA Mini-Barcoding by Aubrey J. Emmi, Biola Fatusin, Rosalee S. Hellberg

“…Four commercial DNA extraction kits were compared using a sample set of 24 different cans of tuna labeled as albacore, light tuna, skipjack, or yellowfin. …”
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Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework by Yongchao Song, Jieru Yao, Yongfeng Ju, Yahong Jiang, Kai Du

“…Road detection results are obtained through error label reclassification, omitting point reassignment, and so an. …”
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The principles of tactical formation identification in association football (soccer) — a survey by Hadi Sotudeh

“…Lastly, alternative evaluation methods should have been explored more rigorously, in the absence of ground truth labels. Overall, this study identifies assumptions, consequences, and drawbacks associated with formation identification principles to structure the body of knowledge and establish a foundation for the future.…”
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The Role of the Teacher in the Foreign Language Classroom – Past, Recent and Modern Developments by Thomas Tinnefeld

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Cross-Linguistic Influences of Learning German in Finnish and German Upper Secondary Schools by Esa M. Penttinen, Heiner Böttger

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Explosives and their compositions in the Russian-Ukrainian war by Ya. O. Holovach

“…The scientific novelty of the article lies in the identification of new labels and characteristics of explosives used in the conflict and their comparison with already known explosives. …”
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Pengaruh Klasifikasi Sentimen Pada Ulasan Produk Amazon Berbasis Rekayasa Fitur dan K-Nearest Negihbor by Nitami Lestari Putri, Budi Warsito, Bayu Surarso

“…Dalam mengekstrak skor polaritas dari ulasan, penelitian ini menggunakan pendekatan analisis sentimen berbasis leksikon yaitu Textblob Library dan menetapkan label sentimen dari ulasan produk. Hasil dari pemodelan yang diusulkan mencapai tingkat akurasi sebesar 83% yang menunjukkan keefektifan pemodelan yang diusulkan dalam analisis sentimen. …”
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Automated strabismus detection and classification using deep learning analysis of facial images by Mahsa Yarkheir, Motahhareh Sadeghi, Hamed Azarnoush, Mohammad Reza Akbari, Elias Khalili Pour

“…The dataset for binary classification consisted of 4,257 facial images, including 1,599 normal cases and 2,658 strabismus cases, while the multi-class classification involved 480 strabismic and 142 non-strabismic images. These images were labeled based on ophthalmologist measurements using the Alternate Prism Cover Test (APCT) or the Modified Krimsky Test (MK). …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…First, a novel automatic SOH extraction algorithm for offline charging data is introduced to label the battery SOH degradation data. Then, the autoencoder is utilized to fuse the features of long-term and short-term SOH degradation trends extracted by empirical degradation models and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise to improve the prediction accuracy over different prediction lengths. …”
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