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Trends in perinatal mortality and its determinants in Ethiopia using longitudinal data from the demographic surveillance system (2009–2016)
Efficiency of a smart parking system in privacy-preserving using multi transaction mode consortium blockchain
Women seem to retract fewer papers than men — but why?
Deep convolutional and fully-connected DNA neural networks
Periodontopathogens degrade angiotensin I from the human renin–angiotensin system through surface-attached proteases
Study on non-tectonic gravity effects in western Shandong
Crop rotation differentially increases soil bacterial and fungal diversities in global croplands: a meta-analysis
Characterizing dual-pulse calls in five Sciaenid species
A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems
Abstract Failure mode risk prioritization is crucial in aircraft landing systems, where undetected or misjudged failures can lead to catastrophic outcomes. Effective risk analysis enables proactive maintenance and enhances aviation safety in such critical phases of flight. In this study, a novel hybrid decision-making framework is proposed to prioritize failure modes in aircraft landing systems by integrating the Multi-Attributive Border Approximation Area Comparison (MABAC) method with Prospect Theory under a q-Rung Orthopair Hesitant Fuzzy Set (q-ROHFS) environment. Traditional failure modes and effects analysis (FMEA) approaches often suffer from rigid weighting schemes, lack of sensitivity to expert hesitancy, and an inability to incorporate psychological factors such as risk aversion or subjective evaluations—especially in high-risk domains like aviation. To address these limitations, the proposed model incorporates human psychological behaviour and uncertainty in expert assessments. Prospect Theory is employed to capture decision makers’ risk attitudes and reference-dependent evaluations, while q-ROHFSs allow more flexible and comprehensive representation of hesitant and uncertain information. In this approach, Best-Worst Method (BWM) is used to determine the relative importance of risk factors for each decision maker, and their individual weights are obtained using TOPSIS-based similarity measures. A novel generalized q-ROHF Minkowski distance measure is also introduced and implemented to determine the weights of decision makers in the TOPSIS method, as well as to construct the prospect decision matrix and the distance matrix in the MABAC method, thereby enhancing computational precision. The applicability and effectiveness of the proposed method are demonstrated through a real-world case study on aircraft landing systems, and a sensitivity analysis is conducted to validate the robustness of the results. The findings highlight the method’s capability to reflect expert preferences more realistically and improve risk prioritization decisions in complex safety-critical systems.
Author Correction: Reciprocal signalling by Notch–Collagen V–CALCR retains muscle stem cells in their niche
Observation of giant dipole moments of interlayer excitons via layer engineering
Abstract Interlayer excitons in van der Waals (vdW) heterostructures (HSs) have garnered significant attention due to their unique properties, including prolonged lifetimes and long-range transport. While extensive studies have been conducted on interlayer excitons in HSs composed of different monolayers, research on HSs formed by multilayer constituents remains limited, particularly regarding dipole moments, which play a crucial role in light-matter interactions. In this study, we investigate the dipole moments of interlayer excitons in multilayer WS₂ and InSe HSs using the quantum-confined Stark effect. Our findings reveal that the dipole moment increases monotonically with the number of layers in InSe or WS₂, reaching a maximum of 3.18 e nm, which is the largest value reported to date. Consequently, the dipole-dipole interaction is enhanced with the increasing layer number, as demonstrated by excitation power-dependent measurements. Ab initio calculations further support our experimental results, indicating the delocalization of the excitonic wave function with increasing layer thickness. Our findings introduce a novel layer-engineered mechanism for tuning the dipole moments of interlayer excitons in vdW heterostructures, paving the way for manipulating many-body interactions in low-dimensional quantum systems.
SmartERD: a pipeline for referencing subjects to a common peak in the analysis of ERD dynamics
Meta-analysis reveals the effect of biochar on sulfonamides and tetracyclines in soil
Spin-photon correlations from a Purcell-enhanced diamond nitrogen-vacancy center coupled to an open microcavity
Elemental concentration and spatial distribution of wild edible fruits and implications for dietary mineral intake in Ethiopia
Abstract Ethiopia faces challenges of food insecurity, malnutrition, and biodiversity loss. The predominantly rural population relies on staple cereals, leading to deficiencies in essential micronutrients. Ethiopia’s Eastern Afromontane biodiversity hotspot hosts a variety of wild edible fruits (WEFs) that could help alleviate these deficiencies. However, WEFs are stigmatised as “food-for-the-poor” and remain underutilised partly due to limited data on their nutritional value. This study is the first to systematically assess the elemental composition of 23 wild and four cultivated fruit species from Oromia and Southern Nations Nationalities and Peoples (SNNP) regions of Ethiopia. Using inductively coupled plasma mass spectrometry, we found several WEFs to be rich in Ca, Fe, Mg, and Se, often surpassing levels in cultivated fruits. A 100 g serving of these fresh fruits could provide up to 40% of recommended nutrient intakes for adolescent boys. Analysis of soil samples collected from fruit harvesting sites revealed significant correlations between soil and fruit elemental concentrations for several minerals, highlighting the importance of soil properties in determining the nutritional quality of WEFs. Species distribution modelling for 11 selected WEF species identified suitable habitats across southern Ethiopia, with significant spatial variation, suggesting opportunities for targeted promotion and conservation. Integrating WEFs into diets and agroforestry systems could enhance nutrition and biodiversity. Further research on bioavailability, domestication, and policy engagement is recommended.