Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results by Pekka Santtila, Yongjie Sun, Kristjan Kask, Liisa Järvilehto, Jiaxing Xiu

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Investigation of three alternative histopathological scoring methods at the invasive tumour front in colorectal cancer by Walaiphorn Woraharn, Ashley McCulloch, Christopher Bigley, Phimmada Hatthakarnkul, Kathryn Pennel, Peter Alexander, Hester vanWyk, Antonia Roseweir, Jennifer Hay, Noori Maka, James Park, Nigel B Jamieson, Joanne Edwards, Campbell SD Roxburgh

“…High scores with the Karamitopoulou and Taskin methods correlated significantly with adverse prognostic factors, particularly advanced T stage (p < 0.001), N stage (p < 0.001), and the presence of peritoneal involvement (p < 0.001). The survival rate of the TGP method demonstrated that patients with an infiltrative growth pattern had significantly worse CRC survival compared to those with pushing and intermediate growth patterns (p < 0.001) and the TGP method retained its independence as a prognostic factor in multivariable Cox regression analysis only for colon cancer‐specific survival (p < 0.001). …”
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Discontinuation and switching patterns of tumour necrosis factor inhibitors (TNFis) in TNFi-naive and TNFi-experienced patients with psoriatic arthritis: an observational study fro... by Philip J Mease, Jeffrey D Greenberg, Chitra Karki, Mei Liu, YouFu Li, Bernice Gershenson, Hua Feng, Peter Hur

“…Times to and rates of discontinuation/switch of the index TNFi were compared between TNFi-naive and TNFi-experienced cohorts. …”
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Trends of health behaviors among cancer patients in Korea: a cross-sectional time series analysis by Noor Afif Mahmudah, Young-Kwon Park, Minsu Ock

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Post-caesarean section infection burden, antimicrobial resistance pattern, and associated factors at all Africa Leprosy Rehabilitation and Training Center Comprehensive Specialized... by Namuna Ali, Sebsib Neway, Kassu Desta

“…<h4>Objective</h4>This study aimed to assess the burden of post-cesarean section bacterial infections, antimicrobial resistance pattern, and associated factors among mothers attending postnatal care services.…”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
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Concomitant body-wide trauma patterns in patients with head and neck injuries: a comparison based on the trauma register DGU® by the German trauma society and the dortmund maxillof... by Ákos Bicsák, Fatma Topcuoglu, Stefan Hassfeld, Rolf Lefering, Lars Bonitz, Jens-Peter Stahl

“…Conclusions Patients with HNI tend to have slightly different injury pattern in the whole body than non-HNI patients. Head and neck injuries in different locations show different patterns of concomitant injuries. …”
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Alternate row mulching optimizes soil temperature and water conditions and improves wheat yield in dryland farming by Qiu-yan YAN, Fei DONG, Ge LOU, Feng YANG, Jin-xiu LU, Feng LI, Jian-cheng ZHANG, Jun-hui LI, Zeng-qiang DUAN

“…Warming effect of soil temperature under the HM pattern persisted longer than under the FM model with the same mulching rates. …”
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Pattern of disease and predictors of mortality among critically ill geriatric patients admitted to intensive care unit at a teaching hospital in Ethiopia: a retrospective cohort st... by Amanuel Sisay Endeshaw, Sitotaw Tesfa Zegeye, Meseret Hulualem Nega, Simachew Amogne Debas, Mulat Mossie Derseh

“…The incidence rate of mortality was 6.3 deaths per 100 person-days observation. …”
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Survival benefit from adjuvant chemoradiotherapy in local advanced gastric cancer without accurate D2 confirmation: a real-world retrospective study (TJ-ARK01) by Xiao-Xiao Luo, Ben Zhao, Li Sun, Yu-Hong Dai, Hong Qiu, Xiang-Lin Yuan

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Drug utilization pattern and cost analysis of antidiabetic drugs among type 2 diabetic patients at a teaching hospital in South India: A prospective observational study by Sekar Kavitha, Anandabaskar Nishanthi, Vivekraj Navabalan, Shanthi Manickam, Anuranjani Dhamodharan, Girija Subramanian

“…Objective: To evaluate the drug prescribing pattern using the World Health Organization (WHO) core prescribing indicators, assess the completeness of prescription documentation, and analyse the cost of drug therapy among type 2 diabetic patients attending a teaching hospital in South India. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…In addition, the unsupervised K-means algorithm was implemented to analyze vehicle gear changes, identify driving patterns, and segment the data into meaningful groups. …”
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Feeding Preferences, Growth Patterns and Reproductive Characteristics of Fall Armyworm (<i>Spodoptera frugiperda</i>) Indicate the Potential of <i>Ficus</i> Tree as New Host Plant by Changqi Chen, Yan Wang, Yana Zhou, Zhu Liu, Zongbo Li, Yuan Zhang

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Genome-wide identification and function analysis of the sucrose phosphate synthase MdSPS gene family in apple by Li-hua ZHANG, Ling-cheng ZHU, Yu XU, Long LÜ, Xing-guo LI, Wen-hui LI, Wan-da LIU, Feng-wang MA, Ming-jun LI, De-guo HAN

“…However, studies on the systematic analysis and evolutionary pattern of the SPS gene family in apple are still lacking. …”
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Wire Arc Additive Manufacturing of Aluminium 5356 Alloy: Process Parameter Optimization and Structure-Property Analysis by K. Saravanakumar, J. Nampoothiri, M.R. Prat heesh Kumar

“…Wire Arc Additive Manufacturing (WAAM) is an emerging technology in the manufacturing sector, offering benefits such as increased production rates and cost efficiency. This study investigates the WAAM of aluminium alloy 5356, deposited on aluminium 6082 base plates. …”
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Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps by Attaporn Khaesawad, Yosuke Fukuchi, Vibol Yem, Nobuyuki Nishiuchi

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Dorsal hyperintensity and iron deposition patterns in the substantia nigra of Parkinson’s disease, idiopathic REM sleep behavior disorder, and Parkinson-plus syndromes at 7T MRI: a... by Dongning Su, Zhijin Zhang, Zhe Zhang, Rui Yan, Wanlin Zhu, Ning Wei, Yue Suo, Xinyao Liu, Ying Jiang, Lingyan Ma, Huiqing Zhao, Zhan Wang, Xuemei Wang, Huizi Ma, Xin Liu, Chaodong Wang, Zhirong Wan, Fangfei Li, Yuan Li, Joyce S. T. Lam, Junhong Zhou, Ning Zhang, Tao Wu, Jing Jing, Tao Feng

“…R2* mapping and principal component analysis were performed to assess nigral iron deposition patterns. Results Bilateral DNH detection rates in the development cohort were 22.6% for early-stage PD, 3.7% for advanced PD, 93.5% for iRBD, 5.7% for MSA-parkinsonian type, 78.8% for MSA-cerebellar type, 11.8% for progressive supranuclear palsy (PSP), and 100% for HC, with similar rates in the validation cohort. …”
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Predictors of post caesarean section surgical site infection and referral pattern for caesarean section in a tribal dominant and resource constraint tertiary level health care Cent... by Sona Singh, Neha Jain, Shruti Singh Parihar, Akash Ranjan Singh, Sanjeev Bakshi, Vikrant Kabirpanthi, Nagendra Singh

“…A heatmap visualized referral patterns by healthcare centers and duty hours for common caesarean section indications. …”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

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A hybrid ultra-short-term photovoltaic power prediction framework integrating ant colony optimization for clustering with Bi-GRU by Xinyi Liu, Zitao Wang, Yang Wang, Shanke Liu, Lijun Yu

“…Kendall’s Rank Correlation Coefficient is utilized as the core metric for feature selection to identify the optimal predictive feature subset, resulting in a 9-feature set that achieves the best predictive performance (R2 = 0.8153). Bidirectional Gated Recurrent Unit (Bi-GRU) models are independently constructed based on these scenario labels to enable scenario-adaptive predictions. …”
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