Biological Characteristics and Medical Treatment of Breast Cancer in Young Women—A Featured Population: Results from the NORA Study by P. Pronzato, G. Mustacchi, A. De Matteis, F. Di Costanzo, E. Rulli, I. Floriani, M. E. Cazzaniga

“…Younger women more frequently had tumors with ER/PgR-negative(𝜒2=7.07; 𝑃=.008), HER2 amplification (𝜒2=5.76; 𝑃=.01), and high (≥10%) Ki67 labelling index (𝜒2=9.53; 𝑃=.002). Positive nodal status, large tumors, and elevated Ki67 all associated with the choice for chemotherapy followed by endocrine therapy in hormone receptor-positive patients (𝑃<.0001). …”
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Effectiveness of traffic light system on Brazilian consumers perception of food healthfulness by Mayara Lima, Marcela de Alcantara, Amauri Rosenthal, Rosires Deliza

“…Front-of-package (FOP) nutrition labelling schemes were developed to improve consumer’s comprehension about the food nutrients associated with non-communicable diseases (NCDs). …”
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Multiplexed set of 10 microsatellite markers for identification of potato varieties by O. S. Kolobova, O. P. Maluchenko, T. V. Shalaeva, E. P. Shanina, I. A. Shilov, Ya. I. Alekseev, N. S. Velishaeva

“…We selected 10 polymorphic STR loci of potato: STI0032, STG0016, STI0001, STI0004, STM1104, STM5127, STI0030, STI0033, STI0014, STM5114 and designed a multiplex panel for potato DNA profiling. Fluorescent labelling of primers and size distinction of amplicones allowed us to use one tube for PCR and capillary electrophoresis. …”
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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

“…Techniques such as pseudo-labelling and fine-tuning addressed the “Model Drift” problem, improving region-specific performance. …”
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Levistolide A and periplogenin inhibit the growth of gastric cancer cells in vitro and in vivo by Jia Li Guo, Hong Mei Hu, Shao Chin Lee, Ji Zhong Zhao

“…Apoptosis was detected by western blot to detect the cleavage of caspase substrate poly (ADP-ribose) polymerase (PARP) and terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate (dUTP) nick-end labelling (TUNEL) assays. The nude mice bearing gastric cancer cells were used for the anti-cancer activity detection of LA and its combinational treatment effect with 5-FU. …”
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Review of drug recalls and quality of pharmaceutical products in Nepal by Astha Neupane, Maheshwor Bastakoti, Sabita Tamang, Basant Giri

“…The peer-reviewed research papers reported issues with labelling, unregistered drugs and drugs failed in several laboratory testing.Conclusion Our analysis showed that number of recalls of substandard and falsified drugs are increasing in Nepal. …”
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Automated craniofacial biometry with 3D T2w fetal MRI. by Jacqueline Matthew, Alena Uus, Alexia Egloff Collado, Aysha Luis, Sophie Arulkumaran, Abi Fukami-Gartner, Vanessa Kyriakopoulou, Daniel Cromb, Robert Wright, Kathleen Colford, Maria Deprez, Jana Hutter, Jonathan O'Muircheartaigh, Christina Malamateniou, Reza Razavi, Lisa Story, Joseph V Hajnal, Mary A Rutherford

“…<h4>Results</h4>Automated labels were produced for all 132 subjects with a 0.3% placement error rate. …”
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Post-injury treatment with 7,8-dihydroxyflavone attenuates white matter pathology in aged mice following focal traumatic brain injury by Georgios Michalettos, Fredrik Clausen, Elham Rostami, Niklas Marklund

“…Treatment with 7,8-DHF led to reduced axonal swellings at 2 and 7 dpi, as visualized by SMI-31 (Neurofilament Heavy Chain) immunofluorescence, and reduced number of TUNEL (Terminal deoxynucleotidyl transferase dUTP nick end labelling)/CC1-positive mature oligodendrocytes at 2 dpi in the perilesional white matter. …”
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Bearing Defect Detection with Unsupervised Neural Networks by Jianqiao Xu, Zhaolu Zuo, Danchao Wu, Bing Li, Xiaoni Li, Deyi Kong

“…Also, the positive and negative samples should be labelled manually. To improve the AUC of the model and the flexibility of the samples labelling, a new unsupervised neural network based on autoencoder networks is proposed. …”
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Altered resting-state cerebral blood flow and its relationship with molecular architecture in tremor dominant Parkinson’s disease by Shangpei Wang, Yajie Cai, Yibin Zhao, Yongqiang Yu, Xianwen Chen, Longsheng Wang

“…Methods: In total, 90 PD patients including 41 TD subtype, and 90 healthy controls (HC) underwent arterial spin labelling magnetic resonance image. The altered CBF were derived by a voxel-wised two sample t-test compare and spatial correlated with serotonin, dopamine, γ-aminobutyric acid, opioid, noradrenaline, N-methyl-D-aspartic acid, acetylcholine and glutamate neurotransmitter density maps. …”
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Mesenchymal stem cell‐derived exosomes mitigate amyloid β‐induced retinal toxicity: Insights from rat model and cellular studies by Amanda Qarawani, Efrat Naaman, Rony Ben‐Zvi Elimelech, Michal Harel, Shahaf Sigal‐Dror, Tali Ben‐Zur, Tamar Ziv, Daniel Offen, Shiri Zayit‐Soudry

“…Our findings reveal that pre‐treatment with AT‐MSC‐Exosomes enabled nearly‐intact retinal function in vivo and maintained retinal cell viability in vitro, evidenced by longitudinal electroretinography (ERG) and XTT proliferation assays, respectively. Fluorescent labelling demonstrated increased migration of AT‐MSC‐Exosomes towards retinal cells under conditions of amyloid‐related toxicity. …”
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Pirfenidone Alleviates Choroidal Neovascular Fibrosis through TGF-β/Smad Signaling Pathway by Chuang Gao, Xin Cao, Lili Huang, Yueqi Bao, Tao Li, Yue Di, Liucheng Wu, Yu Song

“…Terminal deoxynucleotidy1 transferase dUTP nick-end labelling (TUNEL) assay was performed on cryosections of mouse eyes to detect apoptosis. …”
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Evaluation of the implementation of governmental policies and actions to create healthy food environments in Burkina Faso by Viviane Aurélie Tapsoba, Ella WR Compaore, Augustin Nawidimbasba Zeba, Jerome Winbetourefa Some, Julien Soliba Manga, Adama Diouf, Jean-Claude Moubarac, Stefanie Vandevijvere, Mamoudou H Dicko

“…The indicators on menu labelling, reducing taxes on healthy foods, increasing taxes on unhealthy foods and dietary guidelines are the indicators with a ‘very low’ level of implementation in Burkina Faso. …”
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Do you think medicines can be prescribed in a more eco-directed, greener way? A qualitative study based on public and prescriber focus groups on the impact of pharmaceuticals in Sc... by Claire Anderson, Lydia Niemi, Naoko Arakawa, Mark Taggart, Stuart Gibb, Sharon Pfleger

“…Suggestions for more sustainable healthcare included public health awareness campaigns, better provision for pharmacy take-back schemes, clear medicine/packaging labelling, regular medicines reviews and more considered patient-centred care. …”
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Who is to blame for the ‘problem’ of teenage pregnancy? Narratives of blame in two South African communities by Zoe Duby, Brittany Bunce, Chantal Fowler, Kate Bergh, Kim Jonas, Nevilene Slingers, Catherine Mathews, Fareed Abdullah

“…Findings The overall framing of teenage pregnancy was overwhelmingly negative, with participants labelling it immoral and ‘wrong’. Findings were arranged into key thematic areas that emerged in the data relating to blame for teenage pregnancy: the individual centred ‘wrong-girl’ and developmental discourses, in which blame was apportioned to AGYW for being immature, reckless, irresponsible, disobedient and greedy; the ‘wrong-family’ discourse in which blame was attributed to parents of AGYW for poor parenting and failing to adequately care for the adolescents in their responsibility; the ‘wrong-men’ discourse in which blame was attributed to men for luring AGYW into transactional sex, and for perpetrating gender-based violence; and lastly the ‘wrong-society’ discourse which attributed blame to contextual/structural factors such as poverty, a high volume of unregulated drinking establishments, and a lack of youth-friendly services. …”
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Large annotated ultrasound dataset of non-alcoholic fatty liver from Saudi hospitals for analysis and applicationsOpen Science framework or (OSF) by Fahad Alshagathrh, Mahmood Alzubaidi, Khalid Alswat, Ali Aldhebaib, Bushra Alahmadi, Meteb Alkubeyyer, Abdulaziz Alosaimi, Amani Alsadoon, Maram Alkhamash, Jens Schneider, Mowafa Househ

“…Unlike other datasets that rely on bounding boxes, we opted for full-image labelling based on biopsy findings, which link to histopathological results, ensuring more precise representation of liver conditions. …”
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Evaluasi Heuristik Website berbasis Framework Sirius dengan Pengaturan Prioritas menggunakan Teknik Moscow by Gita Indah Marthasari, Nur Hayatin

“…Bagi tim website Lective, kriteria usability paling penting adalah berkaitan dengan aspek labelling, sedangkan bagi pengembang website Seminar Indonesia, aspek paling penting adalah kelompok comprehensibility and ease of interaction. …”
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Quantifying the Suitability of Biosignals Acquired During Surgery for Multimodal Analysis by Ennio Idrobo-Avila, Gergo Bognar, Dagmar Krefting, Thomas Penzel, Peter Kovacs, Nicolai Spicher

“…Due to the large amount of data, manual inspection and labelling into suitable and unsuitable segments are not feasible. …”
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Culturally appropriate terminologies in health research: a participatory study with pregnant and breastfeeding mothers in Uganda by Ritah Nakijoba, Adelline Twimukye, Josephine Bayigga, Aida N. Kawuma, Simon Peter Asiimwe, Fredrick Byenume, Jacqueline Kyeyune, Sylvia Nabukenya, Francis Williams Ojara, Francis Williams Ojara, Catriona Waitt, Catriona Waitt

“…Language defining a person on the basis of anatomical or physiological characteristics was considered ‘embarrassing’ and labelling individuals based on their conditions was construed as stigmatising. …”
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Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

“…The AI-ECG encompasses a novel model that combines an automatic labelling preprocessing method with a transformer architecture incorporating a triplet loss for HFmrEF analysis.ResultsThe receiver operating characteristic analyses revealed that the area under the curve of AI-ECG for identifying all types of HF was acceptable [0.873, 95% confidence interval (CI): 0.864–0.893], while that for identifying patients with HFmrEF was relatively lower (0.824, 95% CI: 0.794–0.863) than that for those with HF with reduced ejection fraction (EF) (0.875, 95% CI: 0.844–0.912) and those with normal EF (0.870, 95% CI: 0.842–0.894). …”
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