Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer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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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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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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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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Enhancing nutrient intake, egg production, and egg quality by fermented Leucaena leucocephala leaf meal in a diet of laying quail by Merry Muspita Dyah Utami, Abigeil Akbar

“…Background and Aim: The inclusion of Leucaena leucocephala leaf meal (LLM) in poultry feed is often limited due to its high crude fiber and mimosine content. …”
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Programming assistance based on Naeural AI OS Platform by Tiberius PÎRCĂLABU, Nicolae ȚĂPUȘ, Andrei DAMIAN

“…În contextul dezvoltării modelelor de inteligență artificială și în special a modelelor mari de limbaj (LLM), un domeniu în care acestea au demonstrat un potențial semnificativ este asistența la programare, cu sarcini comune întâlnite frecvent în practică, pentru care există deja soluții generice care pot fi oferite ca sugestii de astfel de modele. …”
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Network Digital Twin Toward Networking, Telecommunications, and Traffic Engineering: A Survey by Reza Poorzare, Dimitris N. Kanellopoulos, Varun Kumar Sharma, Poulami Dalapati, Oliver P. Waldhorst

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The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis by Yuval Haber, Dorit Hadar Shoval, Inbar Levkovich, Dror Yinon, Karny Gigi, Oori Pen, Tal Angert, Zohar Elyoseph, Zohar Elyoseph

“…Recent advances in generative artificial intelligence (GenAI), specifically large language models (LLMs), present new possibilities for therapeutic interventions; however, their integration into core psychotherapy practices remains largely unexplored. …”
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A mediation analysis of meteorological factors on the association between ambient carbon monoxide and tuberculosis outpatients visits by Tianfeng He, Tianfeng He, Xujun Qian, Jing Huang, Guoxing Li, Xinbiao Guo

“…This study aims to investigate the short-term association between low-level CO exposure and PTB outpatient visits in a developing region.MethodsWe conducted a time-series study utilizing a distributed lag non-linear model (DLNM) combined with mediating effect analysis, based on daily CO and PTB cases from 2011 to 2020 in Ningbo, China.ResultsAmong all patients with PTB, a 0.1 mg/m3 increase in CO concentration was associated with an increased risk of PTB outpatient visits in the single-pollutant model, particularly at lag days 2–6. …”
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A dataset dedicated to the training of large- language models for agronomic management practices and production in Norwegian agricultureGithubKaggle by Olena Bugaiova, Kristian Nikolai Jæger Hansen

“…The cleaned text data is valuable for training or evaluating Natural Language Processing (NLP) Models in an experimental context in Norway or adapting Large-Language Models (LLM) to the domain of Norwegian agriculture within the Norwegian language.…”
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The New Normal? The European Union’s Temporary Frameworks for State Aid by Kociubiński Jakub

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Association Between Diurnal Temperature Range and Risk of Cardiomyopathy-Induced Hospitalisation in Henan, China: A Time-Series Study by Zhang Z, Wang Y, Zhou Y, Pei J, Zhao G, Dong P, Yang K, Liu H, Xie N, Li X, Zang X, Lin F, Chen Z

“…Here, we determined whether an association exists between DTR and CM hospitalisations in vulnerable populations.Methods: CM admission data (2016– 2021) were collected from seven tertiary hospitals in Henan.We used a GAM combined with a distributed lag non-linear model (DLNM) to investigate the delayed effects of DTR on daily hospitalisations for CM.Stratified analysis was performed in subgroups according to sex, age, and season. …”
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AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination by Alex KK Law, Jerome So, Chun Tat Lui, Yu Fai Choi, Koon Ho Cheung, Kevin Kei-ching Hung, Colin Alexander Graham

“…Large language models (LLMs) like ChatGPT-4o offer a promising alternative, but their efficacy remains unclear, particularly in high-stakes exams. …”
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BPS states, conserved charges and centres of symmetric group algebras by Garreth Kemp, Sanjaye Ramgoolam

“…The information theoretic study of LLM geometries and superstars in the dual AdS5× S5 background has raised a number of questions about the distinguishability of Young diagrams when a finite set of Casimirs are known. …”
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Exploring the Role of AI-Based Conversational Agents for Collaborative Learning of English as a Foreign Language by Ebru Pınar Elmacı Er, Armin Weinberger

“…This paper investigates the evolving role of chat agents based on Artificial Intelligence (AI) and Large Language Models (LLM), notably ChatGPT, in the landscape of CL specific to EFL. …”
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Exploration and construction of competency training model for non-orthopedics residents in orthopedics base by GU Honglin, CHEN Rong, YE Yongyu, DAI Guolin, LIANG Changxiang, CHANG Yunbing, LI Huiyan

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Stochasticity as a solution for overfitting—A new model and comparative study on non-invasive EEG prospects by Yousef A. Radwan, Eslam Ahmed Mohamed, Donia Metwalli, Mariam Barakat, Anas Ahmed, Antony E. Kiroles, Sahar Selim

“…Our results on the subject-dependent case show promise on the possibility of a new paradigm for using inner speech data inspired from LLM pretraining but we also highlight the crucial need for a drastic change in data recording or noise removal methods to open the way for more practical accuracies in the subject-independent case.…”
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