Early Neural Cell Death Is an Extensive, Dynamic Process in the Embryonic Chick and Mouse Retina by Teresa Chavarría, Jimena Baleriola, Raquel Mayordomo, Flora de Pablo, Enrique J. de la Rosa

“…Precise quantification of the population of recently born RGCs, identified by BrdU and βIII-tubulin double labeling, combined with cell death inhibition using a pan-caspase inhibitor, revealed that apoptosis decreased this population by half shortly after birth. …”
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RESEARCH REGARDING THE DEGRADATION OF MEAT SEMI – PRODUCTS AND THEIR CHEMICAL COMPOSITION by Orădan Cristian Adrian, Timar Adrian Vasile

“…According to the definitions from the national regulation, these semi- products are auxiliary materials and in this way should be labelled accordingly. At the same time, meat from other semi-products like Parizer is allowed as an ingredient. …”
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Automated Classification of Glandular Tissue by Statistical Proximity Sampling by Jimmy C. Azar, Martin Simonsson, Ewert Bengtsson, Anders Hast

“…The proposed method may be used for glandular classification, also in other tissue types, in addition to general applicability as a region-based feature descriptor in image analysis where the image represents a bag with a certain label (or grade) and the region-based feature vectors represent instances.…”
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Spectral-Spatial Hyperspectral Image Semisupervised Classification by Fusing Maximum Noise Fraction and Adaptive Random Multigraphs by Eryang Chen, Ruichun Chang, Kaibo Shi, Ansheng Ye, Fang Miao, Jianghong Yuan, Ke Guo, Youhua Wei, Yiping Li

“…However, when using the traditional method, achieving a satisfactory classification result is difficult because of the insufficient labeling of samples in the training set. In addition, parameter adjustment during HSI classification is time-consuming. …”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Leveraging self-supervised learning, DI-MDE does not require ground truth depth labels, making it scalable and applicable to real-world environments. …”
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New Record of the Egg-larval Parasitoid, Chelonus formosanus Sonan of Fall Armyworm, Spodoptera frugiperda (J.E. Smith) in the Philippines by Orlando Adona Calcetas, Ravindra Chandra Joshi, Ankita Gupta, Avinjikkattu Parambil Ranjith, Mary Ann Madrid, Joash Fameronag

“…Three adults from the emerged parasitoids, each male and female, were initially preserved and labeled. Color images of habitus and other morphological characters of the parasitoid were taken using a DSLR camera attached to an Olympus SZ61-60 microscope. …”
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Solitary Fibrous Tumor of the Kidney Developing Local Recurrence by Wataru Usuba, Hideo Sasaki, Hidekazu Yoshie, Kazuki Kitajima, Hiroya Kudo, Ryuto Nakazawa, Yuichi Sato, Masayuki Takagi, Tatsuya Chikaraishi

“…The cellularity was normal and nuclear pleomorphism was not observed. Ki-67 labeling index was less than 3%. The pathological diagnosis of SFT was made without obvious malignant findings. …”
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High-resolution hybrid TDM-CDM MIMO automotive radar by Zakaria Benyahia, Mostafa Hefnawi, Mohamed Aboulfatah, Hassan Abdelmounim, Jamal Zbitou

“…On the other hand, the DL-based scheme utilizes the SqueezeNet deep convolutional neural network (DCNN), which treats the angle, range, and Doppler estimations of the extracted targets as a multi-label classification problem. Compared to CDM-MIMO radars, this approach requires fewer spreading codes, alleviating the challenge of spreading and despreading over each element. …”
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Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics by Prakash Gangadaran, Akanksha Onkar, Ramya Lakshmi Rajendran, Anshika Goenka, Ji Min Oh, Fatima Khan, ArulJothi Kandasamy Nagarajan, Sathish Muthu, Anand Krishnan, Chae Moon Hong, Byeong-Cheol Ahn

“…This study comprehensively reviews several methods for labeling macrophages and various imaging modalities, assessing the merits and drawbacks of each approach. …”
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Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents by Suzanne M. de Graauw, Janke F. de Groot, Marco van Brussel, Marjolein F. Streur, Tim Takken

“…Inclusion criteria were development or validation of an accelerometer-based prediction model for the estimation of AEE in healthy children or adolescents (6–18 years), criterion measure: indirect calorimetry, or doubly labelled water, and language: Dutch, English or German. …”
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KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt by Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang

“…Traditional classification-based methods suffer from low-resource scenarios due to the lack of label semantics and fine-grained annotations. While recent approaches have endeavored to address EE through a more data-efficient generative process, they often overlook event keywords, which are vital for EE. …”
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Enhancing Terahertz Absorption Spectrum Based on a Tunable Defect Cavity of One-Dimensional Photonic Crystal in the Combined Coaxial Waveguide by Lu Nie, Xiangjun Li, Dongzhe Chen, Zihao Wang, Dexian Yan

“…Terahertz (THz) molecular fingerprint spectroscopy provides a powerful label-free tool for detecting trace-amount analytes. …”
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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration by Mingzheng Huang, Dejin Chen, Dewang Feng

“…The improved YOLOv8 model improves the P, R, mAP50, and MAP50-95 indicators by 2.4%, 2.1%, 1%, and 1.3%, respectively, compared with the baseline model on only one generalized “fruit” label dataset. The classification model Swin Transformer used in this study has a classification accuracy of 92.6% on a dataset of 27 fruit categories, and the feature matching network based on cosine similarity can calibrate the classification results with low confidence. …”
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A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification by Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li

“…Our one-step model incorporated normal tissue/organ labels to provide contextual information, offering a solution for tumors with complex backgrounds. …”
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Phospholipase A2 Mediates Apolipoprotein-Independent Uptake of Chylomicron Remnant-Like Particles by Human Macrophages by Mariarosaria Napolitano, Howard S. Kruth, Elena Bravo

“…The role of lipases, including lipoprotein lipase, cholesteryl ester hydrolase, and secretory (sPLA2) and cytosolic phospholipase A2, was studied using [3H]TG-labelled CRLPw/o. Total cell radioactivity after incubation with [3H]TG CRLPw/o was reduced by 15–30% by inhibitors of lipoprotein lipase and cholesteryl ester hydrolase and by about 45% by inhibitors of sPLA2 and cytosolic PLA2 . …”
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Challenges and technological requirements in agri-food waste upcycling: The case study of olive leaf extract by Małgorzata Krzywonos, Graziana Difonzo, Antonella Pasqualone

“…These insights serve as valuable resources for industry stakeholders and policymakers, emphasizing the importance of regulatory frameworks and labeling standards to support sustainable practices.…”
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Efficacy and Safety of the Traditional Japanese Medicine Keigairengyoto in the Treatment of Acne Vulgaris by Kotaro Ito, Saori Masaki, Manabu Hamada, Tetsuo Tokunaga, Hisashi Kokuba, Kenji Tashiro, Ichiro Yano, Shinichiro Yasumoto, Shinichi Imafuku

“…In this study, we examined the effectiveness and safety of KRT in treating acne vulgaris. An open-label, randomized, parallel control group comparison was conducted with a conventional treatment group (adapalene and topical antibiotics; control group) and a KRT group (control treatment plus KRT). …”
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Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDrya... by Osiris Chávez-Martínez, Sergio Alberto Monjardin-Armenta, Jesús Gabriel Rangel-Peraza, Zuriel Dathan Mora-Felix, Antonio Jesus Sanhouse-García

“…However, this multispectral imagery dataset can also have various uses, such as creating training datasets with accurate labels or classes which can then be used to develop, train, and/or validate machine learning algorithms for image classification, object detection tasks, or change detection analysis.…”
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A Review of AI Applications in Unconventional Oil and Gas Exploration and Development by Feiyu Chen, Linghui Sun, Boyu Jiang, Xu Huo, Xiuxiu Pan, Chun Feng, Zhirong Zhang

“…Based on existing work, this paper proposes the following future research directions: establishing standardized data sharing and labeling systems; integrating domain knowledge with engineering mechanisms; and advancing interpretable modeling and transfer learning techniques. …”
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Development and Structural Variety of the Chondroitin Sulfate Proteoglycans-Contained Extracellular Matrix in the Mouse Brain by Noriko Horii-Hayashi, Takayo Sasagawa, Wataru Matsunaga, Mayumi Nishi

“…Furthermore, in the medial amygdaloid nucleus and some hypothalamic regions, WFA labeling did not show typical PNN-like forms. The present study suggests spatiotemporal differences at the beginning of PNN formation and a structural variety of CSPG-contained ECM in the brain.…”
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