Shaping the Future of Medical Laboratory Practice in Somaliland: A Review of Current Standards
Published in Protocols & Methods, General & Internal Medicine, and Public Health
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Earth and Environmental Sciences: Crop Diversification for Resilient Ecosystem
Crop diversification is a strategic approach in agriculture that involves cultivating a range of different crops on a farm rather than relying solely on one type of crop. This practice offers numerous advantages, including reducing the risk of crop failure due to pests, diseases, or adverse weather conditions. By growing a variety of crops, farmers can also maintain soil health and fertility more effectively, as different crops have varying nutrient requirements and growth patterns. Moreover, crop diversification provides farmers with opportunities to tap into diverse markets, stabilize their income throughout the year, and contribute to environmental sustainability by promoting biodiversity and reducing reliance on chemical inputs. Overall, crop diversification is a key aspect of modern farming practices aimed at enhancing resilience, profitability, and ecological stewardship. Along with this, a resilient ecosystem is one that demonstrates the capacity to withstand and recover from disturbances while maintaining its essential functions and supporting biodiversity. These ecosystems possess several key characteristics that contribute to their resilience. Firstly, they have high levels of biodiversity, including a variety of species with different functions and niches. This diversity helps buffer against environmental changes and increases the likelihood that some species will thrive even under adverse conditions. Additionally, resilient ecosystems often exhibit strong ecological connectivity, allowing for the movement of species and genetic material across landscapes, which promotes adaptation and enhances overall resilience. They also tend to have robust feedback mechanisms and adaptive management strategies in place, enabling them to respond flexibly to disturbances and incorporate new information into their resilience strategies. Overall, resilient ecosystems play a crucial role in sustaining life on Earth by providing essential services such as clean air and water, climate regulation, and habitat for wildlife, while also supporting human well-being and livelihoods.
In this Topical Collection, we invite novel research and constrictive review works that share new insight results on the subject, as well as establish a positive discussion about the Crop Diversification for Resilient Ecosystem.
Major themes include:
- Ecosystem services for soil health management
- Biodiversity conservation for ecosystem resilience
- Sustainable soil health management through crop diversification
- Climate resilience farming for ecosystem management
- Reduced pesticide dependency through crop management
- Water quality management for enhancing nutrient use efficiency
- Crops nutritional dietary diversity
- Food security through crop management
- Economic stability through crop management
- Ecosystem services and crop risk management
- Crop diversification through building resilient ecosystems
- Water management through crop diversification
- Sustainable agriculture through
- Cultural Heritage and crops diversification
This Collection supports and amplifies research related to: SDG 2, SDG 15
Publishing Model: Open Access
Deadline: Dec 31, 2026
Engineering: Machine Learning, AI, and Deep Learning Applications in Microwave Engineering: Devices and Communication
This Topical Collection is dedicated to highlighting the application of Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL) in the field of Microwave Engineering: Devices and Communication. It will concentrate on AI/ML/DL approaches in Microwave Engineering, which includes new breakthroughs, design and performance techniques of various Microwave Devices like Antennas, Filters, Couplers etc. Starting with single/multiband antennas, this topical collection will showcase the application of AI/ML/DL in the design and/or performance features of wideband to super wideband antennas including Multiple-Input-Multiple-Output (MIMO) antenna structures suited for wireless communication.
It will also focus on the use of AI/ML/DL in various aspects of Terrestrial and/or Satellite-based Microwave Communication: Processes, Algorithms and Protocols.
Publishing Model: Open Access
Deadline: Dec 31, 2026

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