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A classification model based on G protein-coupled estrogen receptor binding affinity: development and validation

ISSN: 10048456 · Editor / fuente: The Editorial Office of Chinese Journal of Food Hygiene

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A Chlamydia trachomatis CPAF-STING agonist conjugate vaccine administered intramuscularly and intradermally is immunogenic in the pig model

ISSN: 16643224 · Editor / fuente: Frontiers Media

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A combined model of BCVA, TRAb, and NLR predicts response to intravenous methylprednisolone in dysthyroid optic neuropathy

ISSN: 2296858X · Editor / fuente: Frontiers Media S.A.

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A temporal multidimensional model and OLAP operators
Artículo
Acceso abierto Artículo RI ITBA
A temporal multidimensional model and OLAP operators
Ahmed, Waqas et al · RI ITBA · 2020
"Usually, data in data warehouses (DWs) are stored using the notion of the multidimensional (MD) model. Often, DWs change in content and structure due to several reasons, like, for instance, changes in a business scenari...
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The Job Demands‐Resources model: state of the art
Artículo
Página del recurso disponible Artículo OpenAlex
The Job Demands‐Resources model: state of the art
Arnold B. Bakker; Evangelia Demerouti · Journal of Managerial Psychology · 2007
Purpose The purpose of this paper is to give a state‐of‐the art overview of the Job Demands‐Resources (JD‐R) model Design/methodology/approach The strengths and weaknesses of the demand‐control model and the ef...
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A dynamic approach to FMEA–RPN risk classification: comparing with the classical FMEA method
Artículo
Acceso abierto Artículo DOAJ
A dynamic approach to FMEA–RPN risk classification: comparing with the classical FMEA method
Mufide Narli · Nofer Institute of Occupational Medicine · 2026 · ISSN 0465-5893
Background Failure mode and effects analysis (FMEA) uses risk priority numbers (RPNs) based on 3 parameters to classify risks. Risk analysis methods use thresholds to determine risk. These class intervals do not account ...
LCC LCC:Public aspects of medicineIdioma eng
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Do monetary policy and macroeconomic fundamentals matter under high uncertainty? Evidence from Renminbi exchange rate regimes
Artículo
Acceso abierto Artículo DOAJ
Do monetary policy and macroeconomic fundamentals matter under high uncertainty? Evidence from Renminbi exchange rate regimes
Mengdi Zhang et al · Universitas Islam Indonesia · 2026 · ISSN 2086-3128
Purpose — This study examines the nonlinear effect of Economic Policy Uncertainty (EPU) on China’s Renminbi (RMB) exchange rate. Methods — Based on the monetary model of exchange rate determination and the behavio...
LCC LCC:Economic growth, development, planning; LCC:Regional economics. Space in economicsIdioma eng
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Fatigue Life Prediction of Rolling Bearings Based on Modified SWT Mean Stress Correction
Artículo
Acceso abierto Artículo DOAJ
Fatigue Life Prediction of Rolling Bearings Based on Modified SWT Mean Stress Correction
Aodi Yu et al · KeAi Communications Co., Ltd · 2021 · ISSN 1000-9345
Abstract The existing engineering empirical life analysis models are not capable of considering the constitutive behavior of materials under contact loads; as a consequence, these methods may not be accurate to predict f...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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Goodbye work-related musculoskeletal disorders, welcome musculoskeletal health! A call for action
Artículo
Material complementario disponible Artículo DOAJ
Goodbye work-related musculoskeletal disorders, welcome musculoskeletal health! A call for action
P Paul FM Kuijer et al · Nordic Association of Occupational Safety and Health (NOROSH) · 2026 · ISSN 0355-3140
Despite decades of global attention, work-related musculoskeletal disorders (MSD) remain a significant challenge, with substantial personal and societal costs (1). The lack of progress in addressing this prevalent proble...
LCC LCC:Public aspects of medicineIdioma eng
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Growth curve of female collared peccaries (Pecari tajacu) raised in captivity in the Brazilian Amazon Region
Artículo
Material complementario disponible Artículo DOAJ
Growth curve of female collared peccaries (Pecari tajacu) raised in captivity in the Brazilian Amazon Region
A.D.V. Garnero et al · Universidade Federal de Minas Gerais, Escola de Veterinária · 2013 · ISSN 1678-4162
This work aims to determine the most suitable nonlinear model to describe the growth of female collared peccaries (Pecari tajacu). The monthly records of the weight of 10 captive female collared peccaries over a period o...
LCC LCC:Animal cultureIdioma eng
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Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism
Artículo
Material complementario disponible Artículo DOAJ
Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism
Xinyu Dou et al · Frontiers Media S.A · 2026 · ISSN 2296-889X
ObjectiveCongenital Hypogonadotropic Hypogonadism (CHH) is a rare disease with an extremely low incidence, and the outcomes of fertility induction therapy in CHH patients exhibit significant interindividual heterogeneity...
LCC LCC:Biology (General)Idioma eng
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Methylation entropy as a novel dimension in liquid biopsy: enhanced multimodal framework for cancer detection and tissue-of-origin classification
Artículo
Acceso abierto Artículo DOAJ
Methylation entropy as a novel dimension in liquid biopsy: enhanced multimodal framework for cancer detection and tissue-of-origin classification
Xiaoqiong Jia et al · BMC · 2026 · ISSN 1479-5876
Abstract Background Circulating cell-free DNA (cfDNA) is a promising biomarker for non-invasive early cancer detection. We integrated methylation entropy, a measure of DNA methylation heterogeneity, with other cfDNA feat...
LCC LCC:MedicineIdioma eng
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Physical enhanced residual learning (PERL) framework for vehicle trajectory prediction
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Physical enhanced residual learning (PERL) framework for vehicle trajectory prediction
Keke Long et al · Tsinghua University Press · 2025 · ISSN 2772-4247
While physics models for predicting system states can reveal fundamental insights owing to their parsimonious structure, they may not always yield the most accurate predictions, particularly for complex systems. As an al...
LCC LCC:Transportation engineeringIdioma eng
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The effect of parallel OTC-DVP bond market introduction on yield curve volatility
Artículo
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The effect of parallel OTC-DVP bond market introduction on yield curve volatility
Andraž Grum · Faculty of Economics University of Rijeka · 2006 · ISSN 1331-8004
The goal of this paper is to analyze the effect of OTC-DVP (over the counter delivery versus payment) fixed income market introduction in Slovenia on the term structure estimation and on the volatility of zero coupon yie...
LCC TENDOkVjb25vbWljIHRoZW9yeS4gRGVtb2dyYXBoeQ~~Idioma eng
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72-hour SOFA changes and risk stratification for invasive mechanical ventilation in patients with community-acquired Pneumonia
Artículo
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72-hour SOFA changes and risk stratification for invasive mechanical ventilation in patients with community-acquired Pneumonia
Genyan Liu et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Accurate prediction of invasive mechanical ventilation (IMV) requirement in patients with community-acquired pneumonia (CAP) is a key clinical challenge. Conventional static risk stratification scores have limit...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Aerodynamic Optimization of Box Wing – A Case Study
Artículo
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Aerodynamic Optimization of Box Wing – A Case Study
Adeel Khalid et al · Embry-Riddle Aeronautical University · 2014 · ISSN 2374-6793
The optimization of a possible medium range box wing commercial airliner is presented in three stages. Preliminary research is used to determine various parameters for a potential box wing model, and a baseline model is ...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma eng
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An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device design
Artículo
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An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device design
Yelda Fırat · Frontiers Media S.A · 2026 · ISSN 2296-4185
IntroductionOsteoarthritis (OA) is a common joint disease characterized by progressive biomechanical deterioration of cartilage tissue. This study aims to develop an explainable ensemble machine learning model capable of...
LCC TENDOkJpb3RlY2hub2xvZ3k~Idioma eng
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Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation
Artículo
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Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation
Kristina Cecilia Miger et al · SpringerOpen · 2026 · ISSN 2509-9280
Abstract Objective Acute heart failure (AHF) is a common but underrecognized cause of dyspnea. Chest computed tomography (CT) can accurately assess pulmonary congestion, but radiologist reporting capacity may limit clini...
LCC TENDOk1lZGljYWwgcGh5c2ljcy4gTWVkaWNhbCByYWRpb2xvZ3kuIE51Y2xlYXIgbWVkaWNpbmU~Idioma eng
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Development of Apple Fruit Classification System using Convolutional Neural Network (CNN) MobileNet Architecture on Android Platform
Artículo
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Development of Apple Fruit Classification System using Convolutional Neural Network (CNN) MobileNet Architecture on Android Platform
Masparudin Masparudin et al · Islamic University of Indragiri · 2024 · ISSN 2302-8149
In the current digital era, image classification of fruits, particularly apples, has become crucial for various applications, ranging from agriculture to retail. This research focuses on the utilization of Convolutional ...
LCC TENDOlRlY2hub2xvZ3k~; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma ind
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Development of an online prediction tool for immunotherapy-related adverse events in patients with advanced NSCLC based on machine learning and temporal validation
Artículo
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Development of an online prediction tool for immunotherapy-related adverse events in patients with advanced NSCLC based on machine learning and temporal validation
Ling-Chun Cao et al · Frontiers Media S.A · 2026 · ISSN 2234-943X
ObjectiveDespite the widespread use of immune checkpoint inhibitors (ICIs) improving survival outcomes in non-small cell lung cancer (NSCLC) patients, immune-related adverse events (irAEs) triggered by ICIs have become a...
LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~Idioma eng
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Heterogeneidade de (Co)variância para as produções de leite e de gordura entre vacas puras e mestiças da raça Gir Heterogeneity of (Co)variance for milk and fat yields between purebred and crossbred Gir cows
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Heterogeneidade de (Co)variância para as produções de leite e de gordura entre vacas puras e mestiças da raça Gir Heterogeneity of (Co)variance for milk and fat yields between purebred and crossbred Gir cows
Claudio Napolis Costa et al · Sociedade Brasileira de Zootecnia · 2004 · ISSN 1516-3598
Registros de produção de leite e de gordura de 5086 vacas puras e mestiças da raça Gir de rebanhos de diferentes Estados do Brasil, ajustados para idade adulta, rebanho, ano e estação de parto, foram utilizados par...
LCC LCC:Animal cultureIdioma eng
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash
Ramin Kazemi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Predicting aggressiveness of clear cell renal cell carcinoma via mri using artificial intelligence: implications for surgical planning in a retrospective multicenter study
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Predicting aggressiveness of clear cell renal cell carcinoma via mri using artificial intelligence: implications for surgical planning in a retrospective multicenter study
Jiang Zhao et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Surgical planning for clear cell renal cell carcinoma (ccRCC) is highly dependent on tumor aggressiveness. However, current decisions are predominantly based on postoperative pathology, limiting opportunities fo...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Prediction of population behavior of Listeria monocytogenes based on ComBase database
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Prediction of population behavior of Listeria monocytogenes based on ComBase database
CHEN Hao et al · The Editorial Office of Chinese Journal of Food Hygiene · 2025 · ISSN 1004-8456
ObjectiveA hybrid model based on bidirectional short term memory （BiLSTM） and Transformer was constructed to predict the population behavior of Listeria monocytogenes under different environmental conditions.MethodsI...
LCC TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~; LCC:Nutrition. Foods and food supplyIdioma zho
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Project-based learning with STEM to promote higher order thinking skills as a strategy to improve high school chemistry learning outcomes
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Project-based learning with STEM to promote higher order thinking skills as a strategy to improve high school chemistry learning outcomes
Setiawan Vera Roni et al · De Gruyter · 2025 · ISSN 2569-3263
Thinking skills as a cognitive process are life skills needed by students in academic activities. This study aims to implement the Project-Based Learning integrated with Science, Technology, Engineering and Mathematics (...
LCC TENDOkNoZW1pc3RyeQ~~Idioma eng
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SwitchNet: protecting neural networks by structure obfuscation and switch-controlled inference
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SwitchNet: protecting neural networks by structure obfuscation and switch-controlled inference
Yuling Cai et al · SpringerOpen · 2026 · ISSN 2523-3246
Abstract Training deep learning models requires substantial financial and human resources, so once deployed in untrusted environments, these models immediately attract the attention of attackers who seek to steal and mis...
LCC TENDOkNvbXB1dGVyIGVuZ2luZWVyaW5nLiBDb21wdXRlciBoYXJkd2FyZQ~~; LCC:Electronic computers. Computer scienceIdioma eng
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Task shifting routine inpatient pediatric HIV testing improves program outcomes in urban Malawi: a retrospective observational study.
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Task shifting routine inpatient pediatric HIV testing improves program outcomes in urban Malawi: a retrospective observational study.
Eric D McCollum et al · Public Library of Science (PLoS) · 2010 · ISSN 1932-6203
BackgroundThis study evaluated two models of routine HIV testing of hospitalized children in a high HIV-prevalence resource-constrained African setting. Both models incorporated "task shifting," or the allocation of task...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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