Results 191 to 200 of about 35,897 (287)

Dynamic capabilities of public sector organisations: A case study of forest and land fires in Indonesia. [PDF]

Jamba
Meiwanda G, Pramusinto A, Kusumasari B, Dewi NP.   +3 more
europepmc   +1 more source

Effect of bio‐fertilization and edapho‐climatic conditions on chickpea nodulation, grain yields, and seed protein in a Mediterranean context: a meta‐analysis approach

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Chickpeas (Cicer arietinum L.) serve as a protein‐rich staple, particularly in Mediterranean countries, where they are often grown in marginal and water‐stressed areas. This meta‐analysis synthesized evidence from peer‐reviewed publications across Mediterranean countries to assess how chickpea rhizobial inoculation influences chickpea ...
Amira Hachana, Amir Souissi, Lewis Ziska, Katherine Morgan, Carina Yiu, Issam Achour, Asma Bouatrous, Imen Hemissi, Hanen Arfaoui, Anissa Riahi, Manel Bouraoui, Bouaziz Sifi   +11 more
wiley   +1 more source

<i>Clostridioides difficile</i> Infection (CDI) Disease Burden (Cases, Hospitalizations, and Deaths) in China: A Systematic Literature Review. [PDF]

Infect Dis Rep
Angulo FJ, Zhao G, Wu Y, Yin Z, Yang J, Khan S, Tran DK, Gonzalez EN, Sun A, Shen S, Findlow J.   +10 more
europepmc   +1 more source

Biological activities and bioactive constituents of Flammulina velutipes: An updated systematic review

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Flammulina velutipes (enokitake) is an edible mushroom recognized for both its nutritional and medicinal properties. It exhibits a broad spectrum of biological activities, including antioxidant, anti‐inflammatory, antitumor, immunomodulatory, and gut microbiota‐regulating effects.
Rıdvan Özgen, Didem Şöhretoğlu, Ayşe Kuruüzüm‐Uz   +2 more
wiley   +1 more source

Evaluating the quality of ChatGPT-generated medical information on major ophthalmic conditions: A comparative assessment against the EQIP tool and guidelines. [PDF]

PLoS One
Hu M, Zou P, Li T, Wang Y.
europepmc   +1 more source

Bromelain as the enzyme of the future: A global bibliometric mapping of its applications and emerging trends

Journal of the Science of Food and Agriculture, EarlyView.
Abstract INTRODUCTION Bromelain, a complex mixture of proteolytic enzymes primarily extracted from plants of the Bromeliaceae family, has gained prominence because of its broad industrial applicability, particularly in the food, pharmaceutical and cosmetic sectors.
Genésio José da Silva Neto, Tonny Cley Campos Leite, Mônica Tejo Cavalcanti, Geany Targino Sousa Pedrosa, Rerisson do Nascimento Alves, Amanda Reges de Sena, Mônica Correia Gonçalves   +6 more
wiley   +1 more source

A dataset of radiocarbon dates from Holarctic mammal collagen purified with high-quality chemistry. [PDF]

Sci Data
Herrando-Pérez S, Mitchell KJ, Southon JR, Turney CSM, Stafford TW.   +4 more
europepmc   +1 more source

Economic approaches to measuring labor exploitation in agriculture: A systematic literature review of indicators and methodologies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Agriculture remains highly vulnerable to labor exploitation, affecting almost two million workers worldwide and drawing increasing attention, particularly within the framework of Sustainable Development Goal 8 of the United Nations 2030 Agenda. However, the informal nature of exploitation and fragmented data complicate its analysis.
Claudio Mirabella, Emanuele Schimmenti, Antonino Galati, Valeria Borsellino   +3 more
wiley   +1 more source

Georeferenced checklist and occurrence dataset of slime moulds (Eumycetozoa) across Central and Eastern Europe emphasising forest ecosystems. [PDF]

Biodivers Data J
Pawłowicz T.
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source