Results 141 to 150 of about 1,298,148 (306)

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann   +4 more
wiley   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

open access: yesAgribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

open access: yesAgribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza   +2 more
wiley   +1 more source

Systematic Review and Meta‐Analysis of Short‐ and Long‐Term Outcomes Following Natural Orifice Specimen Extraction for Colon Cancer

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Natural orifice specimen extraction (NOSE) in colon cancer surgery raises concerns about intra‐abdominal infection, peritoneal seeding, and local recurrence due to possible tumor cell implantation. This systematic review and meta‐analysis compares complete intracorporeal resection with NOSE versus conventional laparoscopic colon ...
Daichi Kitaguchi   +4 more
wiley   +1 more source

Minimally Invasive Esophagectomy for Esophageal Cancer: Current Evidence and Future Perspectives

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Esophageal cancer is a highly aggressive malignancy with regional variations in histological subtypes. Adenocarcinoma predominates in Western countries, whereas squamous cell carcinoma is more common in Asia. Despite advances in multimodal therapy, esophagectomy remains the cornerstone of curative treatment, and the development of various ...
Hirotaka Konishi   +3 more
wiley   +1 more source

Laggards No More: The Changed Socioeconomic Status of Francophones in Quebec [PDF]

open access: yes
The economic returns to knowing French in the Quebec labour market have increased steadily since 1970, while the returns to knowing English have decreased.
Dominique Lemay   +2 more
core  

Revising Fascial Anatomy With a Focus on the Fusion Fascia in Mesenteric Gastrointestinal Cancer Surgery

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This review critically reassesses our prior hypothesis and proposes a revised anatomical model of the fusion fascia that is broadly applicable to GI cancer surgeries grounded in the principles of mesenteric resection. Our synthesis suggests that the fusion fascia is neither a dense connective tissue membrane nor a remnant of mesothelial fusion, but ...
Hisashi Shinohara   +9 more
wiley   +1 more source

[Is SARS-CoV-2 also attacking the French language?] [PDF]

open access: yesRev Med Interne, 2020
Andrès E, Pessaux P.
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

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