Browse Articles

Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models

Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture

Mesothelioma cell heterogeneity identified by single cell RNA sequencing

Author Correction: Neutralizing GDF-15 can overcome anti-PD-1 and anti-PD-L1 resistance in solid tumours

Author Correction: The value of the continuous genotyping of multi-drug resistant tuberculosis over 20 years in Spain

Trade-offs and synergies when balancing economic growth and globalization for sustainable development goals achievement

Abstract This study investigates the complex relationships between globalization, economic growth, urbanization, and ecological footprint in the context of advancing the United Nations Sustainable Development Goals (SDGs). Employing a club convergence framework, we evaluate global SDG Index from 2000 to 2023 for 149 countries with 3212 observations, identifying five converging clubs and one non-converging group. Our analysis demonstrates that higher GDP per capita and various dimensions of globalization positively impact SDG outcomes, whereas rapid urbanization and expansive ecological footprints exert negative influences. This research highlights the critical need for tailored policy interventions that address the distinct challenges encountered by different country clusters to bolster sustainable development efforts. Our findings reveal the multifaceted nature of sustainable development, indicating that economic growth and globalization can support SDG advancement if their detrimental effects are effectively mitigated. The study offers valuable insights for crafting national and global strategies to expedite progress towards the SDGs, emphasizing the importance of harmonizing economic, social, and environmental priorities.

Using mathematical modelling to highlight challenges in understanding trap counts obtained by a baited trap

Abstract Baited traps are routinely used in many ecological and agricultural applications, in particular when information about pest insects is required. However, interpretation of trap counts is challenging, as consistent methods or algorithms relating trap counts to the population abundance in the area around the trap are largely missing. Thus, interpretation of trap counts is usually relative rather than absolute, i.e., a larger average trap count is regarded as an indication of a larger population. In this paper, we challenge this assumption. We show that the key missing point is the animal movement behaviour, which is known to be modified in the presence of attractant (bait), in particular being dependent on the attractant strength. Using an individual-based simulation model of animal movement, we show that an increase in trap counts can happen simply because of changes in the animal movement behaviour even when the population size is constant or even decreasing. Our simulation results are in good qualitative agreement with some available field data. We conclude that, unless reliable biological information about the dependence of animal movement pattern on the type and strength of attractant is available, an increase in trap counts can send a grossly misleading message, resulting in wrong conclusions about the pest population dynamics and hence inadequate conservation or pest management decisions.

Rice leaf disease classification using a fusion vision approach

Author Correction: A comprehensive spatio-cellular map of the human hypothalamus

PillarFocusNet for 3D object detection with perceptual diffusion and key feature understanding

Will RFK Jr’s vaccine agenda make America contagious again?

Study of harmful gas migration law and influencing factors after tunnel blasting in high-altitude tunnels under push ventilation conditions

Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution

Comprehensive study of the microplastic footprint in the urban pond and river of Eastern India

These frustrated scientists want to leave the United States — do you? Take Nature’s poll

An optimal federated learning-based intrusion detection for IoT environment

Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint

Daily briefing: Should the Stanford Prison Experiment be retracted?

First insights and future research perspectives from the sarcoidosis registry at the Medical University of Vienna

Saturn has a whopping 274 moons ― scientists want to know why