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Extraction of bioactive compounds from pecan nutshell: An added-value and low-cost alternative for an industrial waste

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Extraction of bioactive compounds from pecan nutshell: An added-value and low-cost alternative for an industrial waste

Cardona Jimenez, Miguel Esteban et al · Elsevier · 2024 · ISSN 0308-8146

The pecan nutshell [Carya illinoinensis (Wangenh) C. Koch] (PNS) is a source of bioactives with important beneficial properties for the human health. PNS represents between 40–50 % of total mass of the nut, resulting ...

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Methodology for classification of geographical features with remote sensing images: Application to tidal flats

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Methodology for classification of geographical features with remote sensing images: Application to tidal flats

Revollo Sarmiento, Gisela Noelia et al · Elsevier Science · 2016 · ISSN 0169-555X

Tidal flats generally exhibit ponds of diverse size, shape, orientation and origin. Studying the genesis, evolution, stability and erosive mechanisms of these geographic features is critical to understand the dynamics of...

Idioma eng

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Optimization of the extraction of antioxidants and caffeine from maté (Ilex paraguariensis) leaves by response surface methodology

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Optimization of the extraction of antioxidants and caffeine from maté (Ilex paraguariensis) leaves by response surface methodology

Hartwig, Vanessa Graciela et al · ISEKI · 2013 · ISSN 2182-1054

Optimal conditions for the industrial extraction of total polyphenols from maté (Ilex paraguarien- sis) were determined using response surface methodology, with two independent variables: ethanol percentage of the extra...

Idioma eng

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Thermal and nonthermal sonication: Extraction of bioactive compounds from beet leaves and microbiological quality of extracts

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Thermal and nonthermal sonication: Extraction of bioactive compounds from beet leaves and microbiological quality of extracts

Nutter, Julia et al · Wiley Blackwell Publishing, Inc · 2023 · ISSN 0145-8876

This work aimed to optimize a nonthermal (NT) ultrasound-assisted aqueous extraction (aq-UAE) to maximize the recovery of polyphenols, betaxanthins, and betacyanins. Extraction yields, thermal profiles and microbiologica...

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Artificial intelligence driven context-aware biomedical information extraction model for multi-class disease condition classification using NLP with GPT-3

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Artificial intelligence driven context-aware biomedical information extraction model for multi-class disease condition classification using NLP with GPT-3

Sahar Mansour et al · Springer · 2026 · ISSN 1319-1578

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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PANI/PTA/Fe3O4 Nanocomposite Coated on Stainless‐Steel Towards Efficient Solid‐Phase Microextraction of Tetracycline From Human Urine Samples Prior to HPLC–DAD Analysis

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PANI/PTA/Fe3O4 Nanocomposite Coated on Stainless‐Steel Towards Efficient Solid‐Phase Microextraction of Tetracycline From Human Urine Samples Prior to HPLC–DAD Analysis

Sanaz Naghinejad Orang et al · Wiley-VCH · 2026 · ISSN 2628-5452

ABSTRACT Tetracycline (TC) is a commonly prescribed broad‐spectrum antibiotic, and its widespread use together with its persistence in biological matrices, particularly urine, has raised serious concerns related to cli...

LCC LCC:Science (General); LCC:Analytical chemistryIdioma eng

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Energy-Efficient Technologies of Plant Raw Material Extraction

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Energy-Efficient Technologies of Plant Raw Material Extraction

Burdo O.G. et al · Academy of Sciences of Moldova · 2026 · ISSN 1857-0070

The aim of this work is to create the scientific foundations of microwave extractors implementing the effect of mechanodiffusion discovered by the authors, as well as visual, kinetic, and energy substantiation of the fun...

LCC LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlByb2R1Y3Rpb24gb2YgZWxlY3RyaWMgZW5lcmd5IG9yIHBvd2VyLiIdioma eng

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Psychometric properties of health-related quality of life assessment instruments in idiopathic pulmonary fibrosis: a systematic review applying COSMIN methodology

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Psychometric properties of health-related quality of life assessment instruments in idiopathic pulmonary fibrosis: a systematic review applying COSMIN methodology

Kailin Su et al · BMC · 2026 · ISSN 1477-7525

Abstract Background Idiopathic pulmonary fibrosis (IPF) is associated with heavy symptom burden, limited treatment options, poor prognosis, and significant economic burden, and severely impairs health-related quality of ...

LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng

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Optimization of Gelatin Extracting Condition from Korean Native Black Goat Skin and Quality Comparison with Commercial Gelatin

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Optimization of Gelatin Extracting Condition from Korean Native Black Goat Skin and Quality Comparison with Commercial Gelatin

Youn-Kyung Ham et al · Springer Nature · 2023 · ISSN 2636-0772

Abstract The practical use of Korean native black goat skin as a source of gelatin extraction is limited. The objective of this study was to optimize the extraction temperature and time of gelatin from Korean native blac...

LCC TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~; LCC:Animal cultureIdioma eng

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Adaptive multi-scale YOLO framework with context-aware attention for robust ship detection in SAR imagery

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Adaptive multi-scale YOLO framework with context-aware attention for robust ship detection in SAR imagery

Rathinam Anitha et al · EDP Sciences · 2026 · ISSN 2100-014X

Synthetic Aperture Radar (SAR) is one of the primary sensing models and is broadly used in numerous remote sensing applications including environmental monitoring, maritime monitoring, and climate change research. Unfort...

LCC TENDOlBoeXNpY3M~Idioma eng

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An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews

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An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews

Pei Qin Lo et al · MMU Press · 2026 · ISSN 2821-370X

This study aims to identify the best predictive model for analysing online product reviews (OPRs) in the electronics industry, with a secondary focus on leveraging unstructured customer feedback to support product improv...

LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng

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An automated framework to classify skin lesions using Multi-Head Self Attention Layer-based Vision Transformers

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An automated framework to classify skin lesions using Multi-Head Self Attention Layer-based Vision Transformers

Sahil Faizal et al · Frontiers Media S.A · 2026 · ISSN 2624-8212

Skin lesions are one of the most prevalent form of diseases existing among us. Early detection and classification of potentially malignant skin lesions can give us a lead in the fight against skin cancer. There are many ...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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Análise colorimétrica e espectroscópica do muco de caracóis terrestres Achatina sp alimentados com ração diferenciada Colorimetric and spectroscopic analysis of mucus of Achatina sp terrestrial snails fed in differentiated diet

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Adriana Tarlá Lorenzi et al · Sociedade Brasileira de Zootecnia · 2008 · ISSN 1516-3598

Foram estudados os efeitos da adição de plantas medicinais de princípios cicatrizantes (Centelha asiática, Papaína e Confrei) na ração controle de caracóis terrestres, para se avaliar a interferência destas plan...

LCC LCC:Animal cultureIdioma eng

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Assessing the sustainability of field crop farms in the European Union through a multidimensional approach based on composite indicators

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Assessing the sustainability of field crop farms in the European Union through a multidimensional approach based on composite indicators

Gabriela Ignat et al · Frontiers Media S.A · 2026 · ISSN 2673-3218

IntroductionThe study was conducted to respond to the growing need for standardized and comparable tools for assessing the sustainability of farms in the European Union, given that the green transition, the reform of the...

LCC LCC:Agriculture; TENDOlBsYW50IGN1bHR1cmU~Idioma eng

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Biological Signatures of Inflammation Biomarkers Identified Using Data Reduction Methods in Adult Population: A Scoping Review Protocol

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Biological Signatures of Inflammation Biomarkers Identified Using Data Reduction Methods in Adult Population: A Scoping Review Protocol

Gary Sánchez‐Gordón et al · Wiley · 2026 · ISSN 2398-8835

ABSTRACT Background and Aims Chronic inflammation contributes to various chronic diseases, emphasizing the need for reliable biomarkers for early detection and understanding its causes. Measuring chronic inflammation pos...

LCC LCC:MedicineIdioma eng

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Cross-Platform Bug Localization Strategies: Utilizing Machine Learning for Diverse Software Environment Adaptability

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Cross-Platform Bug Localization Strategies: Utilizing Machine Learning for Diverse Software Environment Adaptability

Waqas Ali et al · Engiscience Publisher · 2024 · ISSN 3007-2875

This paper introduces a novel hybrid machine learning model that combines Long Short-Term Memory (LSTM) networks and SHapley Additive exPlanations (SHAP) to enhance bug localization across multiple software platforms. Th...

LCC LCC:Engineering (General). Civil engineering (General)Idioma eng

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Design of a Full-Duplex Wireless Power and Data Transfer System With Negligible Data Crosstalk

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Design of a Full-Duplex Wireless Power and Data Transfer System With Negligible Data Crosstalk

Pu Du et al · IEEE · 2026 · ISSN 2169-3536

This paper proposes a novel wireless power transfer system that integrates full-duplex communication functionality with negligible crosstalk between coupling coils. The system employs an LCC circuit as the overall topolo...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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Extracting kinetic information from short-time trajectories: relaxation and disorder of lossy cavity polaritons

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Extracting kinetic information from short-time trajectories: relaxation and disorder of lossy cavity polaritons

Wu Andrew et al · Wiley · 2024 · ISSN 2192-8614

The emerging field of molecular cavity polaritons has stimulated a surge of experimental and theoretical activities and presents a unique opportunity to develop the many-body simulation methodology. This paper presents a...

LCC TENDOlBoeXNpY3M~Idioma eng

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Grinding Chatter Detection and Identification Based on BEMD and LSSVM

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Grinding Chatter Detection and Identification Based on BEMD and LSSVM

Huan-Guo Chen et al · KeAi Communications Co., Ltd · 2019 · ISSN 1000-9345

Abstract Grinding chatter is a self-induced vibration which is unfavorable to precision machining processes. This paper proposes a forecasting method for grinding state identification based on bivarition empirical mode d...

LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng

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Health economics evaluation of artificial intelligence in the field of oncology: a scoping review

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Health economics evaluation of artificial intelligence in the field of oncology: a scoping review

Hein Minn Tun et al · BMC · 2026 · ISSN 2191-1991

Abstract Background The ageing and growing population, rising cancer rate, and increased healthcare demand drive higher medical costs. Integrating Artificial Intelligence (AI) into oncology revolutionizes cancer diagnosi...

LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng

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Help-seeking behaviours of abused persons with disability: a scoping review

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Help-seeking behaviours of abused persons with disability: a scoping review

Oluwasayo Bolarinwa Ogunlade et al · BMC · 2026 · ISSN 1471-2458

Abstract Background Persons with disabilities (PWD) face a higher risk of abuse compared to individuals without disabilities and encounter numerous barriers to seeking help. This scoping review examines the evidence on h...

LCC LCC:Public aspects of medicineIdioma eng

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Hybrid quantum-inspired fuzzy U-net with Giza pyramid construction optimization for pulmonary emphysema classification

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Hybrid quantum-inspired fuzzy U-net with Giza pyramid construction optimization for pulmonary emphysema classification

Safura Oviesi et al · Springer · 2026 · ISSN 1319-1578

Abstract Accurate differentiation of pulmonary emphysema from chest X-rays remains challenging due to imbalanced data, image noise, and the limitations of traditional deep networks in managing diagnostic uncertainty. In ...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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Machine Learning-Based Detection of Parkinson’s Disease From Arabic Speech: A Cross-Linguistic Validation Study

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Machine Learning-Based Detection of Parkinson’s Disease From Arabic Speech: A Cross-Linguistic Validation Study

Ahmad B. Hassanat et al · SAGE Publishing · 2026 · ISSN 1179-5735

Early detection of Parkinson’s disease (PD) through speech analysis offers significant clinical advantages, yet no validated tools exist for Arabic-speaking populations, representing a critical gap in global healthcare...

LCC LCC:Neurology. Diseases of the nervous systemIdioma eng

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Narrow Artificial Intelligence, Supply Chain Resilience, and SMEs in Developing Countries: A Protocol for a Scoping Review

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Narrow Artificial Intelligence, Supply Chain Resilience, and SMEs in Developing Countries: A Protocol for a Scoping Review

Htet Htet Oo et al · SAGE Publishing · 2026 · ISSN 1609-4069

Supply chains are increasingly vulnerable to disruptions such as geopolitical conflicts, natural disasters, and cyberattacks, with small and medium-sized enterprises (SMEs) in developing economies particularly affected d...

LCC TENDOlNvY2lhbCBzY2llbmNlcyAoR2VuZXJhbCk~Idioma eng

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