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Purpose: Agriculture innovation systems (AIS) examine the complex socio-technical and institutional aspects affecting sustainable agriculture. However, it is predominantly constrained to the formal sector activities in the high-income countries (HICs). The informal sector actors play a major role in the agricultural sector of low- and middle-income countries (LMICs), such as India, by innovating a
Major Depression (MD) and General Anxiety Disorder (GAD) are the most common mental health disorders, which typically are assessed quantitatively by rating scales such as PHQ-9 and GAD-7. However, recent advances in natural language processing (NLP) and machine learning (ML) have opened up the possibility of question-based computational language assessment (QCLA). Here we investigate how accurate
This study aimed to quantify the impact of sponge city facilities on both runoff reduction and carbon emission mitigation, providing valuable insights for sustainable urban development. Using the Storm Water Management Model (SWMM) 5.2 in conjunction with carbon emission factor calculations, we comparatively evaluated the annual runoff reduction and carbon emission abatement potential of tradition
This chapter is an effort to explore the challenges related to establishing civil liability for independent activities for Maritime Autonomous Surface Ships (MASS) and discusses how these challenges can be addressed in a manner that maintains the balance of interests implied by existing legal mechanisms. The chapter concludes that existing legal mechanisms are insufficient. They fail to recognise
Iridium dioxide (IrO2), ruthenium dioxide (RuO2), and their solid solutions (Ir1-xRuxO2) are very active electrocatalysts for the oxygen evolution reaction (OER). Efficient and facile synthesis of nanosized crystallites of these materials is of high significance for electrocatalytic applications for converting green energy to fuels (power-to-X). Here, we use in situ X-ray scattering to examine rea
Artificial intelligence and Machine Learning (AI/ML) are steadily becoming widespread across all layers in the current mobile network generation. The next generation of networks, namely 6G, will consider AI/ML as a foundational block to deliver all expected results of such networks. Thus, the management of AI/ML applications across different layers of 6G is paramount for the success of the next ge
Dose conversion coefficients attempt to harmonize the material-, location-, and exposure-dependent results from retrospective dosemeters. The issues and uncertainties arising from dose conversion are explored within the framework of an interlaboratory comparison exercise in which mobile phones were positioned around anthropomorphic phantoms and exposed to non-uniform photon fields, with the glass
Introduction Anorectal malformations (ARMs) are complex congenital anomalies of the anorectal region, oftentimes also affecting the genitourinary system. Although successful surgical correction can often be achieved in the neonatal period, many children will experience functional problems in the long term. The European Reference Network for rare and complex urogenital conditions (eUROGEN) assemble
Nanowire (NW) optoelectronic and electrical devices offer unique advantages over bulk materials but are generally made by contacting entire NW arrays in parallel. In contrast, ultra-high-resolution displays and photodetectors require electrical connections to individual NWs inside an array. Here, we demonstrate a scheme for fabricating such single NW vertical devices by contacting individual NWs w
Design problems in aerospace engineering often require numerous evaluations of expensive-to-evaluate high-fidelity models, resulting in prohibitive computational costs. One way to address the computational cost is through building surrogates, such as deep neural networks (DNNs). However, DNNs may only be an effective surrogate when sufficient evaluations of the high-fidelity model are required suc
Currently facing the problems of security of supply and higher electricity prices in southern Sweden, a medium-large power plant is considered to be built. To prepare for the possible outcome, a study of different cycle configurations was conducted. The study analyzed a 500 MWeldistrict heating mode power plant based on the Avedare power plant in Denmark, a single reheat Rankine cycle with a heat
Introduction: The 2024 ISTH clinical practice guideline (CPG) for treatment of congenital haemophilia, the NBDF-McMaster Guideline on Care Models for Haemophilia Management, and ASH ISTH NBDF WFH guidelines on the diagnosis and management of VWD all utilised GRADE methodology. Aim: Discuss missed opportunities and the methodological approach of the ISTH Guideline in contrast to how GRADE was previ
In this article, we propose a novel solution to detect multiple targets using a distributed multiple-input multiple-output (MIMO) radar under the so-called 'defocused transmit-defocused receive' operating mode. The proposed method employs a grid-based data matching algorithm, aiming to associate the target responses to potential target locations, solving the resulting data puzzle that evaluates th
There is a growing interest in industry and academia in machine learning (ML) testing. We believe that industry and academia need to learn together to produce rigorous and relevant knowledge. In this study, we initiate a collaboration between stakeholders from one case company, one research institute, and one university. To establish a common view of the problem domain, we applied an interactive r
Ethnopharmacological relevance: To study the potential benefit of the traditional Mexican medicinal plant Galium mexicanum Kunth (Rubiaceae). Hexane, chloroform, and methanol extracts as well as various fractions from these extracts were tested to determine antibacterial, antifungal, antiparasitic or anti-inflammatory activities in vitro. Materials and methods: Aerial parts of the plant were extra
AIMS: The clinical usefulness of historical concentrations of high-sensitivity cardiac troponin T (hs-cTnT) is unknown. This study investigated the ability to rule out myocardial infarction (MI) with the use of historical hs-cTnT concentrations among patients with chest pain in the emergency department (ED).METHODS AND RESULTS: The derivation cohort consisted of patients presenting with chest pain
Torrential rainfall predisposes hills to catastrophic landslides resulting in serious damage to life and property. Landslide inventory maps are therefore essential for rapid response and developing disaster mitigation strategies. Manual mapping techniques are laborious and time-consuming, and thus not ideal in rapid response situations. Automated landslide mapping from optical satellite imagery us
INTRODUCTION: The effect of random error on the performance of blood-based biomarkers for Alzheimer's disease (AD) must be determined before clinical implementation. METHODS: We measured test-retest variability of plasma amyloid beta (Aβ)42/Aβ40, neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau (p-tau)217 and simulated effects of this variability on biomark
