Factors influencing elbow function after internal fixation of complex distal humeral fractures in adults by Jia-Yan Wu, Zheng-Feng Jia, Wei-Lu Gao, Fan-Qi Hu, Yang Gao, Ding-Fei Qian, Zhi-Hao Ma, Pei-Hong Hou, Wen-Hao Hu, Xue-Song Zhang

“…Evaluation showed 67 patients had excellent outcomes, 11 had good outcomes, 10 fair, and 3 poor, with an excellent/good rate of 85.71%. …”
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ITD-YOLO: An Improved YOLO Model for Impurities in Premium Green Tea Detection by Zezhong Ding, Yanfang Li, Bin Hu, Zhiwei Chen, Houzhen Jia, Yali Shi, Xingmin Zhang, Xuesong Zhu, Wenjie Feng, Chunwang Dong

“…This research contributes to the technological foundation for sophisticated impurity classification in tea.…”
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TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs by Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Irida Shallari, Silvia Krug, Isaac Sanchez Leal, Mattias O'Nils

“…Our method is evaluated on classification models (ResNet-50, EfficientNetV2-S) and an object detection model (YOLOv10n) using the TinyImageNet-200 and Pascal VOC datasets. …”
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Associations between Food Insecurity and Supplemental Nutrition Assistance Program (SNAP) participation with ultra-processed food intake in lower-income U.S. adolescents by Aarohee P. Fulay, Ana Baylin, Julia A. Wolfson, Joyce M. Lee, Euridice Martinez-Steele, Cindy W. Leung

“…UPF is defined using the Nova classification and measured as a percentage of daily total energy intake (TEI). …”
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Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City by Pouyan Ebrahimi, Sara Khaleghi, Mohebat Vali, Sahar Delavari, Soraya Khafri, Mohsen Karami, Layla Shojaie, Hossein‐Ali Nikbakht

“…We observed an increase in mortality rates with a slope of 12.05% from 2013 to 2016, and a gentler slope of 3.2% from 2016 to 2021. Cancer mortality rates are predicted to increase by 6.43% in the next 5 years without intervention. …”
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Aortic Root Replacement Procedures: A Validation Study of the Western Denmark Heart Registry from 1999 to 2022 by Emil Johannes Ravn, Viktor Poulsen, Poul Erik Mortensen, Jordi Sanchez Dahl, Kristian Øvrehus, Oke Gerke, Ivy Susanne Modrau, Katrine Müllertz, Lars Peter Schødt Riber, Lytfi Krasniqi

“…Missing data among EuroSCORE II were lower from 2012 and beyond (2.9% (range: 0.6–14.3%)). The median EuroSCORE II according to the WDHR was 6.2% (95% confidence interval 1.4–6.3) and after adjudication 10.7% (95% confidence interval 3.3–13.3). …”
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Increased serum ferritin is associated with severity of orbital disease in COVID-19–associated rhino-orbito-cerebral mucormycosis: A quantitative analysis by Shashi Tanwar, Nibha Mishra, Prachi Sharma, Apjit Kaur

“…Methods: Hundred (n) out of 155 treatment-naive patients of COVID-19 infection presenting with the signs and symptoms of rhino-orbito-cerebral mucormycosis were enrolled in study. Based on the classification proposed by Honavar, the study patients were classified into four stages: Stage 1: involvement of the nasal mucosa (n = 11), Stage 2: involvement of paranasal sinuses (n = 14), Stage 3: involvement of the orbit (n = 37), Stage 4: involvement of the central nervous system (n = 38). …”
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Prognostic value of residual cancer burden after neoadjuvant chemotherapy in breast cancer: a comprehensive subtype-specific analysis by Soo-Young Lee, Tae-Kyung Yoo, Sae Byul Lee, Jisun Kim, Il Yong Chung, Beom Seok Ko, Hee Jeong Kim, Jong Won Lee, Byung Ho Son

“…Subtype-specific analysis revealed that HR-/HER2 + patients with RCB3 and HR-/HER2- patients with RCB2/3 had significantly worse OS and DFS. …”
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Total Hip Arthroplasty Complications in Patients With Sickle Cell Disease: A Comparison Study by Christian DeMaio, BS, Conner Patrick, MD, Grayson Domingue, MD, Jake Fox, MD, Justin Dvorak, PhD, Rishi Thakral, MD

“…Methods: National Inpatient Sample data from 2006 through the third quarter of 2015 were analyzed using International Classification of Diseases, Ninth Revision codes. A weighted frequency of 4,350,961 THAs were recorded for OA and 4279 for SCD. …”
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Impact of wildfire smoke on air pollution-related premature mortality in rapidly growing Kathmandu Valley by Sajesh Kuikel, Him Kiran Paudel, Dipesh Kuinkel, Khagendra Prasad Joshi, Saugat Sapkota, Nabin Malakar, S.- Y. Simon Wang, Binod Pokharel

“…The dangers of urban population growth in highly polluted regions are starkly illustrated by the Kathmandu Valley, where nearly half of the days each year exceed the national PM2.5 air quality guideline of 40 μg/m3. Wildfire smoke, particularly during the pre-monsoon season, is a major contributor to air quality degradation. …”
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Essential Oil and Phylogenetic Positions of Five Medicinal <i>Litsea</i> Species (Lauraceae) by Natcha Chaisoung, Henrik Balslev, Ratchuporn Suksathan, Prateep Panyadee, Chunlin Long, Chatchai Ngernsaengsaruay, Tanawat Chaowasku, Angkhana Inta

“…We examined <i>Litsea</i> classification, focusing on folk taxonomy. A field survey revealed that <i>Litsea cubeba</i>, <i>L. elliptica</i>, <i>L. mollis</i>, <i>L. glutinosa</i>, and <i>L. martabanica</i> have the highest use values. …”
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Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis by Caroline L Alves, Loriz Francisco Sallum, Francisco Aparecido Rodrigues, Thaise G L de O Toutain, Patrícia Maria de Carvalho Aguiar, Michael Moeckel

“…The PD group was stratified by disease duration into early-stage (1–3 years, n  = 9) and advanced-stage (6–12 years, n  = 6). …”
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Increased risk of lung cancer in individuals with preserved ratio impaired spirometry: a nationwide cohort study by Taeyun Kim, Junsu Choe, Yunjoo Im, Jihye Heo, Hye Yun Park, Danbee Kang, Sun Hye Shin

“…Incident lung cancer was defined as the presence of the International Classification of Diseases-10 C33 or C34 code. Among 26,490 individuals, 2628 (9.9%) and 3811 (14.4%) had PRISm and COPD, respectively. …”
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Machine Learning-Based Scoring System to Predict the Risk and Severity of Ataxic Speech Using Different Speech Tasks by Bipasha Kashyap, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz

“…The algorithm builds machine-learning models to support a 3-tier diagnostic categorisation for distinguishing Ataxic Speech from healthy speech, rating the severity of Ataxic Speech, and nomogram-based supporting scoring charts for Ataxic Speech diagnosis and severity prediction. …”
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Characterization of genetic difference and phylogenetic relationship between Schizocapsa guangxiensis and Tacca plantaginea based on chloroplast genome by MA Yunying1, DENG Yongbiao1, LV Huqian1,2, ZHOU Qianru1, LI Jingjian1, LU Zhaocen3*, XIE Wenjuan1*

“…This study enriches the genetic information of the chloroplast genome of S. guangxiensis and provides a theoretical basis for species classification, genetic diversity analysis and species protection of S. guangxiensis.…”
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Management of Farm Development and Their Role in the Socio-Economic Recovery of Rural Areas by Oleksandr Shpykuliak, Mariana Humeniuk, Diana Shelenko, Dmytro Nemish, Sergiy Balaniuk

“…The generalization of scientific research made it possible to systematize the classification of farms by the criterion of agricultural land area and nature of activity. …”
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Diagnostic Challenges in Extrapulmonary Tuberculosis: A Single-Center Experience in a High-Resource Setting at a German Tertiary Care Center by Jonas Wilmink, Richard Vollenberg, Ioana D. Olaru, Julia Fischer, Jonel Trebicka, Phil-Robin Tepasse

“…The data extracted included patient demographics, comorbidities, TB classification, specimen types, microbiological test results, and time intervals to diagnosis. …”
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Advancing drug-drug interactions research: integrating AI-powered prediction, vulnerable populations, and regulatory insights by Wenzhun Huang, Wenzhun Huang, Xiao Wang, Xiao Wang, Yunhao Chen, Yunhao Chen, Changqing Yu, Shanwen Zhang, Shanwen Zhang

“…This review aims to provide a thorough overview of the latest trends and future directions in DDIs research, structured around five main areas: (1) epidemiological trends and high-risk drug combinations, (2) mechanistic classification of DDIs, (3) methodologies for detection and prediction, particularly those driven by AI, (4) considerations for vulnerable populations, and (5) regulatory frameworks and pathways for innovation. …”
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Is gut microbiota associated with Parkinson’s disease? by A. V. Tyakht, V. M. Alifirova, N. G. Zhukova, I. A. Zhukova, A. V. Latypova, O. P. Izhboldina, V. A. Petrov, Yu. S. Mironova, M. A. Titova, M. A. Nikitina, E. S. Kostryukova, Yu. B. Dorofeeva, I. V. Saltykova, A. E. Sazonov

“…Filtering readings by quality and their taxonomic classification were carried out using QIIME version 1.9.0 software. …”
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Interlobar division using vessel-sealing system in robot-assisted pulmonary lobectomyCentral MessagePerspective by Masahiro Miyajima, MD, Yuma Shindo, MD, Kodai Tsuruta, MD, Yasuyuki Nakamura, MD, Yoshiaki Takase, MD, Miho Aoyagi, MD, Atsushi Watanabe, MD

“…We considered the Craig and Walker classification of lung fissures grades 1 and 2 as a good adaptation for the vessel sealing system interlobar fissure division. …”
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