Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model by Mesfin Seid Ibrahim, Jiajie Fan, Winco K.C. Yung, Zeyu Wu, Bo Sun

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Involvement of Norepinephrine in the Control of Activity and Attentive Processes in Animal Models of Attention Deficit Hyperactivity Disorder by D. Viggiano, L. A. Ruocco, S. Arcieri, A. G. Sadile

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New digital anatomical data of Keichousaurus hui (Reptilia: Sauropterygia) and its phylogenetic implication by Jiayu Xu, Yu Guo, Yucong Ma, Wei Wang, Long Cheng, Fenglu Han

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Fusing LiDAR and Photogrammetry for Accurate 3D Data: A Hybrid Approach by Rytis Maskeliūnas, Sarmad Maqsood, Mantas Vaškevičius, Julius Gelšvartas

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Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI by Tianze Xu, Jixing Li, Xiaoming Jiang

“…The methodological framework integrated a general linear model (GLM) analysis of the fMRI data with computational modeling using natural language processing algorithms. …”
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VIEWS OF THE COMPANIES IN CENTRAL REGION REGARDING THE OPPORTUNITIES AND LIMITATIONS OF INFORMATION TECHNOLOGIES USED FOR PROCESSING AND ANALYSIS OF ACCOUNTING INFORMATION by ALINA-TEODORA CIUHUREANU

“…In the context of manual processing of data and the transmission of information by conventional means, many of the information valences of accounting remain unexploited because of deficiencies that may occur (delays in processing, redundancy, overloading the circuits, inefficiencies) and such information is likely to remain without decision value. …”
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INTEGRATED EVALUATION OF ANAMNESTIC DATA IN THE DIFFERENTIAL DIAGNOSIS OF TEMPOROMANDIBULAR DISORDERS AND DISEASES THAT AFFECT THEM by M.Yu. Mykhailevych, V.F. Makeev

“…Similarly, 17 factors have been identified that, when combined, have a likely impact on the development of a combined disorder. …”
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Intuitive logic revisited: new data and a Bayesian mixed model meta-analysis. by Henrik Singmann, Karl Christoph Klauer, David Kellen

“…These claims of an intuitive logic are at odds with most theories on syllogistic reasoning which posit that detecting the logical status of difficult syllogisms requires effortful and deliberate cognitive processes. We present new data replicating the effects reported by Morsanyi and Handley, but show that this effect is eliminated when controlling for a possible confound in terms of conclusion content. …”
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Cauliflower leaf diseases: A computer vision dataset for smart agricultureMendeley Data by Sabbir Hossain Durjoy, Md. Emon Shikder, Md Mehedi Hasan Shoib, Md Hasan Imam Bijoy

“…This data set can also be utilized with smart farming equipment like drones and sensors to track big fields in real time.…”
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Snapshot and time-dependent inversions of basal sliding using automatic generation of adjoint code on graphics processing units by Ivan Utkin, Yilu Chen, Ludovic Räss, Mauro A. Werder

“…Basal sliding and other processes affecting ice flow are challenging to constrain due to limited direct observations. …”
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Automated Redaction of Personally Identifiable Information on Drug Labels Using Optical Character Recognition and Large Language Models for Compliance with Thailand’s Personal Data... by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…The rapid proliferation of artificial intelligence (AI) across various industries presents both opportunities and challenges, particularly concerning personal data privacy. With the enforcement of regulations like Thailand’s Personal Data Protection Act (PDPA), organizations face increasing pressure to protect sensitive information found in diverse data sources, including product and shipping labels. …”
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A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis by Kirstin Leitner, Clare Cutri-French, Abigail Mandel, Lori Christ, Nathaneal Koelper, Meaghan McCabe, Emily Seltzer, Laura Scalise, James A Colbert, Anuja Dokras, Roy Rosin, Lisa Levine

“…ObjectiveThis paper describes the development of patient engagement data with a novel postpartum conversational agent that uses natural language processing to support patients post partum. …”
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“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs) by Adam S. Hayes

“…This dialogue-like process speeds up traditional tasks—transcription, coding, theme identification—while sparking broader possibilities for exploration. …”
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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

“…CVCBM utilizes a hierarchical two-stage decomposition process, beginning with CEEMDAN. We use the capability of CEEMDAN for denoising by additive white noise to clean the noisy workload data and further decompose it into several Intrinsic Mode Functions (IMFs), ranging from high to low frequencies. …”
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Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19 by Nurun Nuha, Sakinah Ali Pitchay, Azni Haslizan Ab Halim, Murtadha Arif Bin Sahbudin, Ilfita Sahbudin

“…BDA supports infectious disease control by processing diverse healthcare data and leveraging technologies like IoT and social media to enhance diagnosis, clinical decision-making, and surveillance. …”
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A big data driven multilevel deep learning framework for predicting terrorist attacks by Ume Kalsooma, Sahar Arshad, Amerah Albarah, Imran Siddiqi, Saeed Ullah, Abdul Mateen, Farhan Amin

“…We treat the series of terrorist activities as a sequence modeling problem and propose a big data long short-term memory network. It is a layered model capable of processing large-scale data. …”
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Automated Eddy Identification and Tracking in the Northwest Pacific Based on Conventional Altimeter and SWOT Data by Lan Zhang, Cheinway Hwang, Han-Yang Liu, Emmy T. Y. Chang, Daocheng Yu

“…Simulated satellite altimetry by EGF, mirroring Surface Water and Ocean Topography (SWOT)’s high-resolution observations, confirmed PET’s capability in processing fine-scale data, though accuracy declined for submesoscale eddies. …”
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Regional and whole-brain neurofunctional alterations during pain empathic processing of physical but not affective pain in migraine patients by Dan Liu, Menghan Li, Heng Jiang, Yiqi Mi, Xiaolei Xu, Yali Zhou, Yaxian Hou, Yuquan Shen, Michael Maes, Xiao Xiao, Feng Zhou, Luca Giani, Keith M. Kendrick, Benjamin Becker, Stefania Ferraro

“…Based on the evidence that the neural pathways for empathy for physical pain and experimental pain robustly overlap, these results indicate a specific hyperresponsivity of the pain pathways, with the inferior frontal gyrus likely playing a regulatory role in modulating pain-related processes. …”
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Project Euphonia: advancing inclusive speech recognition through expanded data collection and evaluation by Alicia Martin, Robert L. MacDonald, Pan-Pan Jiang, Marilyn Ladewig, Julie Cattiau, Rus Heywood, Richard Cave, Jimmy Tobin, Philip C. Nelson, Katrin Tomanek

“…This paper presents an overview of the extension of processes and methods used for English data collection to more languages and locales, progress on the collected data, and details about our model evaluation process, focusing on meaning preservation based on Generative AI.…”
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Data-Augmented Deep Learning Models for Assessing Thermal Performance in Sustainable Building Materials by Ana Carolina Rosa, Carles Mateu, Assed Haddad, Dieter Boer

“…While automation and machine learning streamline the process, they do not eliminate the need for expertise but rather shift the focus toward data-driven material innovation, complementing rather than replacing traditional roles. …”
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