Analisis Hubungan Pengetahuan dan Persepsi Pasien dengan Partisipasi Pasien di Instalasi Paviliun Ambun Pagi RSUP DR. M. Djamil Padang Ditinjau dari Aspek Hukum Keselamatan Pasien by Anshar Bonas Silfa, Hardisman Hardisman, Aumas Pabuti

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Optimización digital integral para la empresa “EmcaboL LTDA.” a través del desarrollo de una página web by Joel Cusiquispe Cusiquispe, Max Espinoza Paz, Gloria Cristal Taboada Belmonte, Pavel Rosales Camacho

“…Esta estrategia incluye publicidad pagada, invitaciones personalizadas y contenido educativo como recetas, reportes sobre carne de llama y videos tutoriales. Además, se recomienda un análisis continuo del comportamiento del usuario y el rendimiento del sitio para optimizar la experiencia en línea. …”
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El gillatún de Traitraico de 1891 by Alfredo Cañas Pinochet

“…En el «Vocabulario de la lengua veliche» que el estudioso adiciona a sus análisis etimológicos, lexicográficos y morfológicos del mapudungun de Chiloé o lengua veliche, como él lo llama, Alfredo Cañas tuvo la iniciativa de incluir, al llegar al vocablo gnillatún, estos «apuntes» de la ceremonia de Traitraico, de cuyo relato se desprende que el autor fue testigo presencial. …”
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Prognostic significance of ımmunhistochemical axl expression in pancreas ductal adenocarcinomas by Ozden Oz, Asuman Argon, Tulu Ayata Kebat, Ozlem Ozdemir, Savas Yakan

“…Axl positivity was found to be associated with the presence of LVI (P = 0.009) and LNM (P = 0.002) and was an independent prognostic factor in short survival (P = 0.006). …”
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Using large language models for extracting stressful life events to assess their impact on preventive colon cancer screening adherence by Dmitry Scherbakov, Paul M. Heider, Ramsey Wehbe, Alexander V. Alekseyenko, Leslie A. Lenert, Jihad S. Obeid

“…Results The LLM detected 380 patients with one or more stressful life events and 5,344 patients with no life events. …”
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Deep learning driven silicon wafer defect segmentation and classification by Rohan Ingle, Aniket K. Shahade, Mayur Gaikwad, Shruti Patil

“…In order to make this process a more interactive, an LLM with Q&A capabilities was integrated to solve any doubts and answer any questions regarding defects in wafers.This approach helps automate the detection process thus improving quality of end product. • Successful and precise defect segmentation and classification using Deep Learning was achieved. • High-intensity regions after post-processing. • An LLM offering defect analysis and guidance was streamlined.…”
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Emergence of Self-Identity in Artificial Intelligence: A Mathematical Framework and Empirical Study with Generative Large Language Models by Minhyeok Lee

“…To validate this theoretical framework, we conducted empirical experiments using the Llama 3.2 1B model, employing low-rank adaptation (LoRA) for efficient fine-tuning. …”
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La Revista Interuniversitaria de Formación del Profesorado. Una larga trayectoria, enraizada en el primer tercio del siglo XX by José Emilio Palomero Pescador

“…Tras un breve reco- rrido por la trayectoria de la REN —una publicación de re- generación normalista que llamó poderosamente la atención en ambientes pedagógicos y educativos de la época, y que contribuyó de forma destacada a la difusión de ideas nuevas en España—, el autor se centra en los momentos fundacionales de la RIFOP, así como en su posterior desarrollo. …”
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Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer

“…Experimental results on our constructed dataset demonstrate that our HistBERTSum-Abs method outperforms recent state-of-the-art deep learning-based methods and achieves results comparable to state-of-the-art LLMs in zero-shot settings in terms of ROUGE-1, ROUGE-2, and ROUGE-L F1 scores. …”
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Projected Thermally Driven Elderly Mortality for Beijing Under Greenhouse Gas and Stratospheric Aerosol Geoengineering Scenarios by Jun Wang, Liyun Zhao, John C. Moore

“…Temperature‐related mortality risk were calculated using a distributed lag nonlinear model (DLNM) of the elderly (over 65s) under the dynamically downscaled moderate (RCP4.5) and extreme (RCP8.5) greenhouse gas, and the G4 SAI scenarios. …”
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Factors Affecting Teacher Performance At SDN Pondok Pucung 05 Bintaro by Linus Kali Palindangan, Nawan Katarina Hatiningsih, Sumaryati Tjitrosumarto

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AI-assisted exposure-response data analysis: Quantifying heterogeneous causal effects of exposures on survival times by Louis Anthony Cox, Jr., R. Jeffrey Lewis, Saumitra V. Rege, Shubham Singh

“…This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. …”
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SP-1-activated LINC01016 overexpression promotes gastric cancer invasion and metastasis through inhibiting EIF4A3-mediated MMP9 mRNA decay by Ying Sun, Hui Zhang, Duan-bo Shi, Peng Gao

“…In the present study, we showed that the expression of the long intergenic noncoding RNA 01016 (LINC01016) is significantly higher in GC tissues with lymph node metastasis (LNM) than those without LNM. LINC01016 overexpression predicts a poorer relapse-free survival (RFS) and overall survival (OS). …”
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Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer by Ping’an Ding, Jiaxiang Wu, Haotian Wu, Wenqian Ma, Tongkun Li, Peigang Yang, Honghai Guo, Yuan Tian, Jiaxuan Yang, Limian Er, Renjun Gu, Lilong Zhang, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…Abstract Background The increasing incidence of early-stage T1 gastric cancer (GC) underscores the need for accurate preoperative risk stratification of lymph node metastasis (LNM). Current pathological assessments often misclassify patients, leading to unnecessary radical surgeries. …”
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Medullary colonic carcinoma with microsatellite instability has lower survival compared with conventional colonic adenocarcinoma with microsatellite instability by Miguel A. Gómez-Álvarez, Leonardo S. Lino-Silva, Rosa A. Salcedo-Hernández, Alejandro Padilla-Rosciano, Erika B. Ruiz-García, Horacio N. López-Basave, German Calderillo-Ruiz, José M. Aguilar-Romero, Jorge A. Domínguez-Rodríguez, Ángel Herrera-Gómez, Abelardo Meneses-García

“…Twelve (54.5%) presented in the right colon, 21 (95.5%) showed LNM and 7 (31.8%) LVI. Follow-up was 32 ±8 months, with a 5-year overall survival of 42.9% for MCs and 76.6% for PDAs (p = 0.048). …”
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Cypress Copilot: Development of an AI Assistant for Boosting Productivity and Transforming Web Application Testing by Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur, Likhit Sagar Gajja

“…In this paper, we propose a novel approach that leverages large language models (LLMs) and a novel prompt technique, few-shot chain, to automate code generation for web application testing. …”
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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

“…In addition to shedding light on the state-of-the-art DL algorithms, we also explore potential applications of DL and large language models (LLMs) in ITS, including traffic flow prediction, vehicle detection and classification, road condition monitoring, traffic sign recognition, and autonomous vehicles. …”
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Risk effects of environmental factors on human brucellosis in Aksu Prefecture, Xinjiang, China, 2014–2023 by Di Wu, Xinxiu Shen, Quan Zhou, Jing Zhou, Ruonan Fu, Chang Wang, Yuhua Ma, Chenchen Wang

“…A distributed lag nonlinear model (DLNM) was employed to investigate the lagged effect of meteorological factors on the occurrence of brucellosis. …”
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Associations of short-term exposure to air pollution with risk of pulmonary space-occupying lesions morbidity based on a time-series study by Xu Zhang, Zijie Pei, Yan Wang, Yaxian Pang, Haiyan Hao, Qingping Liu, Mengqi Wu, Rong Zhang, Helin Zhang

“…A time-series ecological trend study was conducted to investigate the associations between environmental factors and hospitalizations for pulmonary space-occupying lesions in North of China from 2014 to 2022. Methods The DLNM was used to quantify the association of environmental factors with lung cancer admissions. …”
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Effect and prediction of long-term weather and pollutant exposure on hemorrhagic fever with renal syndrome: based on statistical models by Weiming Hou

“…Then, we used a distributed lag non-linear model (DLNM) and a generalized additive model (GAM) with a maximum lag of 6 months to evaluate the lagged and interaction effects of meteorological and pollution factors on the HFRS cases. …”
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