Characterization of Extracts of Coffee Leaves (Coffea arabica L.) by Spectroscopic and Chromatographic/Spectrometric Techniques. [PDF]
Cangeloni L +7 more
europepmc +1 more source
Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters
ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen +2 more
wiley +1 more source
Endophytic Fungi Associated with Coffee Leaves in China Exhibited In Vitro Antagonism against Fungal and Bacterial Pathogens. [PDF]
Lu L +8 more
europepmc +1 more source
Analysis of CcDREB1D promoter region from drought-tolerant and susceptible clones of Coffea canephora by homologous genetic transformation of Coffea arabica [PDF]
In several plant species, the DREB genes play a key role in responses to abiotic stress. Since the development of molecular markers is one of the major goals for accelerating breeding programs, a study was done to evaluate the sequence variability of the
Alves, Gabriel Sergio Costa +7 more
core
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Kahwa daun: traditional knowledge of a coffee leaf herbal tea from West Sumatera, Indonesia
Background: Kahwa daun is a herbal tea made from coffee leaves produced by people in West Sumatera, Indonesia. It has an aroma, flavor, and appearance similar to coffee.
Rilma Novita +3 more
doaj +1 more source
Investigating Leaf Pigments [PDF]
The purpose of this resource is to explore what pigments exist in leaves and their importance. Students will conduct an experiment using paper chromatography to separate pigments present in leaves.
The GLOBE Program, University Corporation for Atmospheric Research (UCAR)
core
Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi +11 more
wiley +1 more source

