Study of Bone Marrow Mesenchymal and Tendon-Derived Stem Cells Transplantation on the Regenerating Effect of Achilles Tendon Ruptures in Rats by Mohanad Kh Al-ani, Kang Xu, Yanjun Sun, Lianhong Pan, ZhiLing Xu, Li Yang

“…Immunofluorescent assay revealed higher expression of Tenascin-C in TDSCs at week 1, while both TDSCs and BMSCs treated groups showed detectable CM-Dil-labelled cells at week 4. Compared with BMSCs, TDSCs showed higher regenerative potential while treating ruptured Achilles tendons in rats.…”
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Chrysanthemum classification method integrating deep visual features from both the front and back sides by Yifan Chen, Xichen Yang, Hui Yan, Hui Yan, Jia Liu, Jian Jiang, Zhongyuan Mao, Tianshu Wang, Tianshu Wang

“…Firstly, the different Chrysanthemums images are collected and labeled with origins and classifications. Secondly, the background area with less available information is removed by image preprocessing. …”
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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

“…A set of synthetically generated datasets concerning all three classes with two to three levels of degradation severity is considered for training the proposed deep learning model along with the real images labelled based on reference datasets. The dataset comprises blur and low illumination images with three levels of severity, and shadow images with two levels of severity. …”
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Instationary metabolic flux analysis reveals that NPC1 inhibition increases glycolysis and decreases mitochondrial metabolism in brain microvascular endothelial cells by Bilal Moiz, Matthew Walls, Viviana Alpizar Vargas, Anirudh Addepalli, Callie Weber, Andrew Li, Ganesh Sriram, Alisa Morss Clyne

“…We incorporated extracellular metabolite and isotope labeling data into an instationary metabolic flux analysis (INST-MFA) model to estimate intracellular metabolic fluxes. …”
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Skeletal Muscle-Derived Stem/Progenitor Cells: A Potential Strategy for the Treatment of Acute Kidney Injury by Egle Pavyde, Romaldas Maciulaitis, Mykolas Mauricas, Gintaras Sudzius, Ernesta Ivanauskaite Didziokiene, Arvydas Laurinavicius, Neringa Sutkeviciene, Edgaras Stankevicius, Justinas Maciulaitis, Arvydas Usas

“…Single intravenous MDSPCs injection accelerated functional and morphological kidney recovery, as reflected by significantly lower serum creatinine levels, renal injury score, higher urinary creatinine, and GFR levels. PKH-26-labeled MDSPCs were identified within renal cortex 1 and 2 weeks after cell administration, indicating MDSPCs capacity to migrate and populate renal tissue. …”
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Comparison of Resampling Methods and Radiomic Machine Learning Classifiers for Predicting Bone Quality Using Dual-Energy X-Ray Absorptiometry by Mailen Gonzalez, José Manuel Fuertes García, María Belén Zanchetta, Rubén Abdala, José María Massa

“…<b>Methods</b>: A dataset of 1531 spine DXA images was automatically segmented and labelled based on Trabecular Bone Score (TBS) values. …”
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Automatic Sleep Staging Method Using EEG Based on STFT and Residual Network by Ran Zhang, Rui Jiang, Haowei Hu, Ying Gao, Wei Xia, Boming Song

“…This study introduces an enhanced method for automatic sleep staging that addresses the challenges of low training efficiency and reliance on extensive labeled datasets. Initially, high-dimensional time-frequency features of EEG signals are extracted using a short-time Fourier transform (STFT), transforming unidimensional signal data into multidimensional image datasets. …”
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Comprehensive characterization of higher order structure changes in methionine oxidized monoclonal antibodies via NMR chemometric analysis and biophysical approaches by Mingyue Li, Victor A. Beaumont, Shahajahan Akbar, Hannah Duncan, Arch Creasy, Wenge Wang, Kelly Sackett, Lisa Marzilli, Jason C. Rouse, Hai-Young Kim

“…Furthermore, we leveraged a novel 15N-Met labeling technique of the antibody to directly observe structural perturbations at the oxidation sites. …”
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Water-Matching CAM: A Novel Class Activation Map for Weakly-Supervised Semantic Segmentation of Water in SAR Images by Kai Wang, Zhongle Ren, Biao Hou, Feng Sha, Zhiyang Wang, Weibin Li, Licheng Jiao

“…However, existing methods usually require many accurate manually labeled pixel-level water annotations of SAR images, which leads to the problem that they are often time-consuming and costly. …”
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Amine Analysis Using AlexaFluor 488 Succinimidyl Ester and Capillary Electrophoresis with Laser-Induced Fluorescence by Christian G. Kendall, Amanda M. Stockton, Stephen Leicht, Heather McCaig, Shirley Chung, Valerie Scott, Fang Zhong, Ying Lin

“…Limits of detection using the optimized labeling conditions and these separation conditions were 5–17 nM. …”
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Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

“…This problem often arises in classification jobs if the distribution of classes or labels in a dataset is not uniform. To overcome this issue, just resample by adding or removing entries from the minority or majority classes. …”
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Navigating Recent Changes in Dosing Information: Dynamics of FDA‐Approved Monoclonal Antibodies in Post‐Marketing Realities by Nai Lee, Su‐jin Rhee, Seong Min Koo, So Won Kim, Gyo Eun Lee, Yoon A Yie, Yun Kim

“…This review evaluates post‐marketing label changes in dosing information for FDA‐approved mAbs from January 2015 to September 2024, with a focus on both initial and extended indications. …”
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Model-Oriented Training of Coordinators of the Decentralized Control System of Technological Facilities With Resource Interaction by Volodymyr M. Dubovoi, Maria S. Yukhimchuk, Viacheslav V. Kovtun, Krzysztof R. Grochla

“…However, the coordinators&#x2019; training process is complicated by the lack of labelled datasets for technological facilities. In decentralized control systems, the problem is complicated by the need to train all coordinators, with the outcome depending on the coordinator&#x2019;s position within the structure of the distributed control system. …”
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Randomised feasibility study of an intestinal adsorbent in acute diarrhoea in The Gambia by Elena Markaryan, Matthew Dodd, Stephen Allen, Carol Howell, Angela Allen, Paul Rahden, Abdoulie Fatty, Momodou Lamin Jobarteh, Abdoulwahab Sallah, Ebrahim Jaiteh, Doreen Umoh, Fanta Bass, Radovan Hnatič

“…An intestinal adsorbent may reduce diarrhoea duration and severity.Methods Randomised controlled feasibility trial with two phases: phase 1 (0–4 hours and double-blind) and phase 2 (up to 5 days and open-label). 50 children aged 6–59 months with acute diarrhoea presenting with no or some dehydration to the emergency paediatric unit and outpatient clinic at Edward Francis Small Teaching Hospital, Banjul, The Gambia were randomised to either standard treatment (oral rehydration fluid and zinc) or standard treatment with polymethylsiloxane polyhydrate for up to 5 days.Results Recruitment was completed in 7 months. …”
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Forest Fire Clustering: A Novel Tool for Identifying Star Members of Clusters by Xingyin Wei, Jing Chen, Su Zhang, Feilong He, Yunbo Zhao, Xuran He, Yongjie Fang, Xinhao Chen, Hao Yang

“…FFC combines iterative label propagation with parallel Monte Carlo simulation to achieve internal validation of clustering results. …”
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Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images by Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim

“…A U-net model segmented retinal optic discs and blood vessels (BVs), dividing them into upper and lower halves labeled for BRVO occurrence. Both unimodal models (using either fundus or BV images) and a BV-enhanced multimodal model were constructed to predict future BRVO. …”
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APPLICATION OF INDONESIAN NURSING DIAGNOSIS STANDARDS IN NURSING DIAGNOSIS DOCUMENTATION IN CHILDREN WITH DENGUE HEMORRHAGIC FEVER by Anestasia Pangestu Mei Tyas, Risma Dysta Nuriantari, Amellia Mardhika, Ilkafah Ilkafah, Lailatul Fadliyah, Emuliana Sulpat

“…Results: Most of the priority nursing diagnosis labels in DHF pediatric patients are by the Indonesian Nursing Diagnosis Standards, namely hyperthermia. …”
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Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…Based on unsupervised anomaly detection and clustering methods, we differentiate source variability from noisy background activity, without the need for a labeled training data set of flaring states. The framework incorporates measurement uncertainties and is robust given data quality challenges, such as varying cadences and observational gaps. …”
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Proteomic Identification of Heat Shock-Induced Danger Signals in a Melanoma Cell Lysate Used in Dendritic Cell-Based Cancer Immunotherapy by Fermín E. González, Alexey Chernobrovkin, Cristián Pereda, Tamara García-Salum, Andrés Tittarelli, Mercedes N. López, Flavio Salazar-Onfray, Roman A. Zubarev

“…Here, we characterized the proteomic profile of TRIMEL in response to HS treatment. A quantitative label-free proteome analysis of over 2800 proteins was performed, with 91 proteins that were found to be regulated by HS treatment: 18 proteins were overexpressed and 73 underexpressed. …”
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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

“…In addition, the proposed model can recommend herbs that do not appear on the prescription label but are useful for relieving symptoms, which shows that the model can learn some interactions between herbs and symptoms. …”
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