Remote Sensing Scene Classification using ConvNeXt-Tiny Model with Attention Mechanism and Label Smoothing by Rachmawan Atmaji Perdana, Aniati Murni Arimurthy, Risnandar

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An open-label study evaluating the safety and efficacy of AMO-01 for the treatment of seizures in Phelan-McDermid syndrome by Tess Levy, J. Lloyd Holder, Jr., Joseph P. Horrigan, Michael F. Snape, Alison McMorn, Christina Layton, Hailey Silver, Kate Friedman, Hannah Grosman, Slayton Underwood, Danielle Halpern, Jessica Zweifach, Paige M. Siper, Alexander Kolevzon

“…A single 6-hour intravenous infusion of AMO-01 at 120 mg/m2 was administered to six participants using an open-label design. Safety was assessed during the infusion and for 4 weeks post-infusion. …”
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Pegloticase and Methotrexate Cotherapy in Patients With Uncontrolled Gout With Prior Pegloticase Monotherapy Failure: Findings of an Open‐Label Trial by Orrin M. Troum, John K. Botson, Katie Obermeyer, Bo Chao, Yang Song, Jennifer Zarzoso, Kjerstina Gutierrez, Supra Verma, Lissa Padnick‐Silver, Brian LaMoreaux

“…Therefore, the question of re‐treating patients with previous pegloticase monotherapy failure has arisen. The ADVANCE open‐label trial examined pegloticase plus MTX cotherapy efficacy and safety following pegloticase monotherapy failure. …”
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Collagenase Chemonucleolysis for Treating Cervical Disc Herniation: An Exploratory, Single-Arm, Open-Label, Multicenter Clinical Trial by Zhijian Wang, Bifa Fan, Lili Gu, Xuexue Zhang, Tao Sun, Hui Liu, Rongchun Li, Likui Wang, Kaiqiang Wang, Shun Li, Yong Ma, Haibo You, Daying Zhang

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Using DIMet for Differential Analysis of Labeled Metabolomics Data: A Step-by-step Guide Showcasing the Glioblastoma Metabolism by Johanna Galvis, Joris Guyon, Thomas Daubon, Macha Nikolski

“…DIMet facilitates the analysis of stable-isotope labeling and metabolic abundances, offering a streamlined approach to infer metabolic changes without requiring complex flux analysis. …”
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Balancing E-Commerce Platform and Manufacturer Goals in Sustainable Supply Chains: The Impact of Eco-Friendly Private Labels by Zhiheng Liu, Xiangcheng Cui, Yuanyuan Ji

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Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment by Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, Basudev Biswal

“…However, there is subjectivity in the source identification and labelling due to manual interpretation, which is time-consuming. …”
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Technetium 99m–Labeled VQ Peptide: A New Imaging Agent for the Early Detection of Tumors or Premalignancies by Jiyun Shi, Liyang Cui, Bing Jia, Zhaofei Liu, Peng He, Chengyan Dong, Xiaona Jin, Huiyun Zhao, Fang Li, Fan Wang

“…Technetium 99m ( 99m Tc)-labeled VQ peptide ( 99m Tc-HYNIC-VQ) identified through screening phage display peptide libraries against fresh human colonic adenomas was prepared and evaluated for tumor detection. 99m Tc-HYNIC-VQ was prepared by a non-SnCl 2 method with more than 99% radiochemical purity. …”
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A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information by Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe

“…Next, we classify the topics using the represented keyword as input and assign class labels based on human evaluations topic coherence. …”
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Willingness to pay a premium for eco-label products in China: a mediation model based on quality value by Ying Zhan, Yuting Ren, Junfei Xu

“…In China, the new carbon label represents a new kind of sustainable eco-label; as such, the relationship between carbon labeling and consumers’ willingness to pay (WTP) a premium is worth studying. …”
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Impact of warning pictorials and size on perceived effectiveness of cigar warning labels in a nationally representative between-subjects experiment by James F Thrasher, Tara L Queen, Jennifer Cornacchione Ross, Sarah D Kowitt, Leah M Ranney, Adam O Goldstein, Chineme Enyioha, Desmond Jenson, Paschal Sheeran, Sonia A Clark, Kristen L Jarman, Michelle Z Yang

“…This study investigates the perceived warning effectiveness (PWE) of health warning labels (HWLs) on cigar packages. We tested the impact of warning type and warning size in the HWLs on PWE and other health outcomes.Data and methods In a between-subjects experimental design, participants (n=809) who used little cigars or cigarillos in the past 30 days were randomly assigned to one of four conditions: text-only at 30% size, pictorial+text warning at 30% size, text-only at 50% size and pictorial+text warning at 50% size. …”
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Protocol of an open-label safety and feasibility pilot study of ketamine-assisted psychotherapy for methamphetamine use disorder (the KAPPA trial) by Jonathan Brett, Celia Morgan, Nadine Ezard, Brendan Clifford, Krista J Siefried, Robert May, Liam Acheson, Kathryn Fletcher, Harriet MacDonald, Gillinder Bedi, Alexandre Guerin, Elizabeth Knock, Michael Millard, Jess Doumany

“…Changes in methamphetamine use, cravings and withdrawal, quality of life, and treatment satisfaction will also be explored.Methods and analysis This is an open-label, single-arm clinical trial. 20 adults meeting DSM-5-TR criteria for methamphetamine use disorder who are seeking to reduce or cease methamphetamine use will be enrolled in the study through a single-site specialist outpatient stimulant treatment service in inner Sydney (St Vincent’s Hospital, Sydney). …”
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Loss of Appetite in Adult Patients: Effectiveness and Safety of an Appetite Stimulating Medication in an Open-Label, Investigator-Initiated Study in India by S. Nagaraj

“…Using an investigator-initiated, single-center, open-label, single-arm design, we evaluated the effectiveness and safety of the appetite-stimulating medication (15 mL) in 50 male or female patients (18–55 years old) attending the outpatient department, with a confirmed diagnosis of LOA after two weeks of therapy and assessed the change in Council on Nutrition Appetite Questionnaire (CNAQ) score and safety of the medication after two weeks of treatment. …”
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In Vivo Magnetic Resonance Imaging and Optical Imaging Comparison of Viable and Nonviable Mesenchymal Stem Cells with a Bifunctional Label by Elizabeth Jane Sutton, Tobias D. Henning, Sophie Boddington, Stavros Demos, Christian Krug, Reinhardt Meier, John Kornak, Shoujun Zhao, Rick Baehner, Sheida Sharifi, Heike Daldrup-Link

“…The purpose of this study was to compare viable and nonviable bilabeled mesenchymal stem cells (MSCs) in arthritic joints with magnetic resonance imaging (MRI) and optical imaging (OI). MSCs were labeled with ferucarbotran and DiD. MRI and OI of bilabeled cells were compared with controls. …”
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The effectiveness of convalescent plasma administered on the first day of admission for COVID-19 patients: an open-label randomized controlled trial by Saeed Mohammadi, Mandana Pouladzadeh, Hamidreza Kouhpayeh, Shamsi Okati, Mehdi Safdarian, Peyman Eshghi, Parastoo Moradi Choghakabodi, Shahabeddin Mashaei, Sharareh Sanei Sistani, Yalda Khani, Soheila Nasizadeh, Ahmad Reza Shamshiri, Amir Teimourpour, Haijuan Wang

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Understanding Confusion: A Case Study of Training a Machine Model to Predict and Interpret Consensus From Volunteer Labels by Ramanakumar Sankar, Kameswara Mantha, Cooper Nesmith, Lucy Fortson, Shawn Brueshaber, Candice Hansen-Koharcheck, Glenn Orton

“…However, there are inherent difficulties in the generating labels from citizen scientists, due to the inherent variability between the members of the crowd, leading to variability in the results. …”
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Sensitive and label-free fluorescent microRNA detection via catalytic DNAzyme assembly initiated primer exchange reaction by Heng Wang, Yi Sun

“…Finally, the created G-quadruplex can fix thioflavin T (ThT) to generate fluorescence signals in a label-free manner. Based on this, the approach demonstrates a high miRNA detection sensitivity with a low limit of detection of 0.32 fM. …”
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A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM) by James E. Gallagher, Aryav Gogia, Edward J. Oughton

“…Segment Anything Model (SAM) is drastically accelerating the speed and accuracy of automatically segmenting and labeling large Red-Green-Blue (RGB) imagery datasets. …”
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Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning by Junling Du, Shangyu Wang, Rentong Chen, Shaoping Wang

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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…Selanjutnya dilakukan eksperimen untuk menguji pengaruh jumlah label terhadap klasifikasi multi-label pada data uji yang sama. …”
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