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Resilient Food Supply Chains in the Face of the Russo–Ukrainian War: Harnessing the Power of the Internet of Things

The current war in Ukraine has severely disrupted global food supply chains due to the significant decline in the production of grain commodities, of which Ukraine and Russia are major global suppliers. This creates problems in today’s globalised food systems. In particular, a number of countries are heavily dependent on food imports from Ukraine and/or Russia, particularly some developing nations

Application of soft computing and evolutionary algorithms to estimate hydropower potential in multi-purpose reservoirs

Hydropower is a clean and efficient technology for producing renewable energy. Assessment and forecasting of hydropower production are important for strategic decision-making. This study aimed to use machine learning models, including adaptive neuro-fuzzy inference system (ANFIS), gene expression programming, random forest (RF), and least square support vector regression (LSSVR), for predicting hy

Theory's best practice

Why is theorizing important? What does it do? This note reflects on the broad question of what we do when we theorize, taking its starting point from the Greek notion of theoria. The argument is that theorizing as an uncertain journey, i.e. as a form of travelling along a path towards the unknown or unfamiliar, has unjustly fallen into disrepute. The notion of ‘theory’ is today primarily associate

Ingen vill sluta avtal med en regering som bryter löften

När regeringen, pressad av SD, inte följer ingångna avtal bryter den med svensk tradition. Historiskt har trepartsmodellen haft framgång i att lösa viktiga samhällsproblem. Med staten som opålitlig part riskeras något av det mest svenska vi har, skriver German Bender på den fackföreningsnära tankesmedjan Arena Idé och professor Anders Kjellberg.

Extreme precipitation patterns in the Asia-Pacific region and its correlation with El Niño-Southern Oscillation (ENSO)

In the Asia-Pacific region (APR), extreme precipitation is one of the most critical climate stressors, affecting 60% of the population and adding pressure to governance, economic, environmental, and public health challenges. In this study, we analyzed extreme precipitation spatiotemporal trends in APR using 11 different indices and revealed the dominant factors governing precipitation amount by at

OME-Zarr : A cloud-optimized bioimaging file format with international community support

A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have designed a format specification process (OME-NGFF) to address these needs. This paper brings together a wide range of those c

Analyzing Factors Contributing to Real-time Train Arrival Delays using Seemingly Unrelated Regression Models

Understanding the impact of various factors on train arrival delays is a prerequisite for effectiverailway traffic operating control and management. Existing studies analyze the train delayfactors using a single, generic regression equation, restricting their capability in accounting forheterogeneous impacts of spatiotemporal factors on arrival delays as the train travels along itsroute. The paper

Quantitative Methods for Train Delay Propagation Research

Due to the increase in railway traffic, trains increasingly need to adhere to their scheduled path to avoid extensive propagation ofdelays. This paper presents the findings of a systematic literature review covering articles related to the delay propagation problemsof trains. By searching both the Scopus and Web of Science databases, the content of 156 relevant papers was screened andanalyzed. The

Real-time High-Speed Train Delay Prediction using Seemingly Unrelated Regression Models

Understanding the impact of various factors on train arrival delays is a prerequisite for effective railway traffic operating control andmanagement. Existing studies model the train delay prediction problems using a single, generic equation, restricting their capabilityin accounting for heterogeneous impacts of spatiotemporal factors on arrival delays as the train travels along its route. The pape

Evaluation Framework for Train Delays Prediction Models

Real-time train delay prediction is critical for ensur-ing the safety of train operations and providing quality serviceto passengers. The increasing demand for railway transportationhas led to the need for punctuality and the availability of advancetrain arrival time information to ensure a satisfactory travelexperience. Data-driven train prediction models have undergonesignificant advancements, a

ERS International Congress 2022 : highlights from the Basic and Translational Science Assembly

In this review, the Basic and Translational Science Assembly of the European Respiratory Society provides an overview of the 2022 International Congress highlights. We discuss the consequences of respiratory events from birth until old age regarding climate change related alterations in air quality due to pollution caused by increased ozone, pollen, wildfires and fuel combustion as well as the inc

Lung tissue bioengineering for transplantation and modelling of development, disease and regeneration

The lung is a vital and dynamic organ that serves as a critical first barrier to environmental stimuli and facilitates gas exchange from birth until death. Developmental or genetic defects that impair lung function severely impact quality of life. Minor defects present in early life increase the likelihood that patients will develop chronic lung diseases in adulthood that have no cure. Current the

Two-level eddy covariance measurements reduce bias in land-atmosphere exchange estimates over a heterogeneous boreal forest landscape

Estimates of land-atmosphere exchanges of carbon, energy, water vapor, and other greenhouse gases based on the eddy covariance (EC) technique rely on the fundamental assumption that the flux footprint area is homogeneous. We investigated the impact of source area heterogeneity on flux estimates in single-level EC measurements over a managed boreal forest landscape. For this purpose, we compared si

A neurophenomenological fMRI study of a spontaneous automatic writer and a hypnotic cohort

Purpose: To evaluate the neurophenomenology of automatic writing (AW) in a spontaneous automatic writer (NN) and four high hypnotizables (HH). Methods: During fMRI, NN and the HH were cued to perform sponta- neous (NN) or induced (HH) AW, and a comparison task of copying complex symbols, and to rate their expe- rience of control and agency. Results: Compared to copying, for all participants AW was

A Rapid and Tunable Approach for the Fractionation of Technical Kraft Lignin

Reducing the heterogeneity of technical lignin is essential to obtain predictable and high-performance polymeric materials that are suitable for high-value applications. Organic solvents with different polarities and solubilities can be used to fractionate lignin and reduce the complexity and diversity of its chemical structure. Among the various solvents and solvent mixtures, acetone-water mixtur

Oxidative Depolymerization of Kraft Lignin to Aromatics Over Bimetallic V–Cu/ZrO2 Catalysts

Zirconia-supported vanadium–copper catalysts (VCux:yZr) were used for the oxidative depolymerization of softwood LignoBoost Kraft lignin (LB). Various VCux:yZr catalysts were prepared (x:y = 0:1, 1:4, 1:2, 3:4, 1:1, and 1:0) by incipient wetness impregnation, and reactions were performed in alkaline water at 150 °C under an O2 pressure of 5 bar for 10 min. 1H–13C HSQC NMR spectroscopy was used for

Low levels of WRAP53 predict decreased efficacy of radiotherapy and are prognostic for local recurrence and death from breast cancer : a long-term follow-up of the SweBCG91RT randomized trial

Downregulation of the DNA repair protein WD40-encoding RNA antisense to p53 (WRAP53) has been associated with radiotherapy resistance and reduced cancer survival. The aim of this study was to evaluate WRAP53 protein and RNA levels as prognostic and predictive markers in the SweBCG91RT trial, in which breast cancer patients were randomized for postoperative radiotherapy. Using tissue microarray and

Can your darkness be measured? Analyzing the full and brief version of the Dark Factor of Personality in Swedish

The Dark Factor of Personality (D) measures the latent core of antagonistic traits. The present study evaluated the psychometric properties of the Swedish version of the full (D70) and the brief (D16) versions, concerning structural validity, item information, and convergent validity. An online sample (N = 294) was analyzed using CFA (Maximum Likelihood Estimation), IRT (Graded Response Model) and