Results 51 to 60 of about 6,811,694 (242)

Effective text analysis using term frequency-inverse document frequency and machine learning for .net in enterprise environments

Системи обробки інформації
With the exponential growth of textual data, effective analytical methods are essential for modern enterprise environments. Term Frequency-Inverse Document Frequency (TF-IDF) quantifies word importance within documents relative to entire corpora, serving
I. Kobylin, V. Biehunova, D. Tsyban, V. Kovalchuk   +3 more
doaj   +1 more source

Optimization driven cluster based indexing and matching for the document retrieval

Journal of King Saud University: Computer and Information Sciences, 2022
Document retrieval methods concentrate on minimizing the time taken for the navigator to recall the entire document while analyzing the concepts, themes, and contents of the document based on their research goals.
Mamta Kayest, Sanjay Kumar Jain
doaj   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand, Seyed Hossein Aghamiri, Saeed Mohmammad Soleymani, Shadiyeh Bararpoor Poshkohi, Samaneh Masoudi, Hadi Esmaily   +5 more
wiley   +1 more source

Utilization of a natural language processing-based approach to determine the composition of artifact residues

BMC Bioinformatics
Background Determining the composition of artifact residues is a central problem in ancient residue metabolomics. This is done by comparing mass spectral features in common with an experimental artifact and an ancient artifact (standard method).
Tung Tho Nguyen, Korey J. Brownstein
doaj   +1 more source

Parabolic Weighting Mechanism in Information Retrieval: A Mathematical Analogy to Lenz’s Law

IEEE Access
Conventional term-weighting techniques in information retrieval, such as term frequency-inverse document frequency and the probabilistic ranking framework, often place excessive emphasis on extreme term frequencies, which can distort document ranking ...
Krishnan Batri, S. Lakshmi, R. Sowrirajan   +2 more
doaj   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

Drone-Assisted Multimodal Logistics: Trends and Research Issues

Drones
This study explores the evolving trends and research issues in the field of drone-assisted multimodal logistics over the past two decades. By employing various text-mining techniques on related research publications, we identify the most frequently ...
Kyunga Kim, Songi Kim, Junsu Kim, Hosang Jung   +3 more
doaj   +1 more source

Autoimmune Comorbidities as Modifiers of Phenotypic Heterogeneity in Facioscapulohumeral Dystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral dystrophy type 1 (FSHD1) shows clinical heterogeneity that is only partly explained by D4Z4 repeat unit (RU) size. Although immune and inflammatory mechanisms may contribute to disease variability, the prevalence and clinical impact of autoimmune diseases in FSHD remain unclear.
Jonathan Pini, Giulia Tammam, Andra Ezaru, Manuela Gambella, Benoît Sanson, Luisa Villa, Michele Cavalli, Mihai‐Bogdan Ioncea, Angela Puma, Sabrina Sacconi   +9 more
wiley   +1 more source

Design of Geopolitical Topical Crawler Based on Classified Keyword Term Frequency Model [PDF]

Jisuanji gongcheng, 2016
To solve the no-structuring problem of Term Frequency-Inverse Document Frequency(TF-IDF) model in topical crawler,this paper proposes a novel topical crawler based on Classified Keyword Term Frequency (CKTF) model.A Webpage is divided into five parts ...
WEI Yong,HU Danlu,HAO Chenguang,OU Xiaoping
doaj   +1 more source

Mucocutaneous Disease Activity and Damage Accrual in Systemic Lupus Erythematosus: Analyses From the Asia‐Pacific Lupus Collaboration Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective This research article aims to describe the prevalence, associations, and health‐related quality of life (HRQoL) impact of mucocutaneous features of systemic lupus erythematosus (SLE). Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analyzed (2013–2021).
Amanda M. Saracino, Yanjie Hao, Dylan Hansen, Yi‐Hsing Chen, Alberta Hoi, Vera Golder, Jiacai Cho, Aisha Lateef, Worawit Louthrenoo, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Jan Wu, Sandra Navarra, Leonid Zamora, Chak Sing Lau, Shirley Chan, Zhanguo Li, Hai‐hong Yao, Sargunan Sockalingam, B. M. D. B. Basnayake, Yasuhiro Katsumata, Masayoshi Harigai, Zhuoli Zhang, Jun Kikuchi, Yuko Kaneko, Tsutomu Takeuchi, Madelynn Chan, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Geraldine Hassett, Kristine Ng, Nicola Tugnet, Mark Sapsford, Yih Jia Poh, Michael Tee, Cherica Tee, Naoaki Ohkubo, Yoshiya Tanaka, Rangi Kandane‐Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour   +42 more
wiley   +1 more source