I see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks.

In this paper, we conduct a detailed investigation on the effect of independent component (IC)-based noise rejection methods in neural network classifier-based decoding of electroencephalography (EEG) data in different task datasets.We apply a pipeline matrix of two popular different independent component (IC) decomposition methods (Infomax and Adaptive Mixture Independent Component Analysis (AMICA)) with three different component rejection strategies (none, ICLabel, and multiple artifact rejection algorithm [MARA]) on three different EEG datasets (motor imagery, long-term memory formation, and visual memory). We cross-validate processed data from each pipeline with three architectures commonly used for EEG classification (two convolutional neural networks and one long short-term memory-based model.

Experimental Study of the Effect of CO/H Ratio and Release Pressure on Syngas Jet Flame Propagation and Overpressure.

Syngas, composed of hydrogen and carbon monoxide, serves as an alternative fuel for hydrogen energy and a key raw material for chemical synthesis. However, due to its flammable nature, syngas poses risks of forming explosive mixtures in the event of a leak. This study explores potential accident scenarios in coal chemical environments involving syngas reaction vessels.

From care practices to speculative vignettes-design considerations for robots in good care.

The care sector has become one of the test beds for developing robotic technologies, which have been promised to mitigate problems with aging populations and labor shortages. Despite these promises, the practical application of such technologies have been met with limited success. Apart from technical limitations, other challenges exist in the way we approach designing these technologies.

Willingness to Consume and Purchase Food with Edible Insects among Generation Z in Poland.

The consumption of insects (entomophagy) is attracting attention for economic, environmental and health reasons. The wide range of edible insect species, rich in protein, fat, minerals, vitamins and fibre, can play an important role in addressing global food insecurity. However, consumer acceptance remains a major barrier to the adoption of insects as a food source in many countries, including Europe.

Human-in-the-loop error detection in an object organization task with a social robot.

In human-robot collaboration, failures are bound to occur. A thorough understanding of potential errors is necessary so that robotic system designers can develop systems that remedy failure cases. In this work, we study failures that occur when participants interact with a working system and focus especially on errors in a robotic system's knowledge base of which the system is not aware.

Dynamic impact assessment of urban floods on the compound spatial network of buildings-roads-emergency service facilities.

There are complex interactions among urban spatial elements in rainstorm scenarios. Road interruptions may cause isolation between partially submerged buildings and emergency service facilities, thereby affecting the recovery capability of flooded buildings and the accessibility of emergency service facilities. This study constructed a compound spatial network of urban buildings-roads-emergency service facilities, and analyzed the complex dynamic impacts of time-varying dynamic floods on building risk, road risk, and emergency service accessibility.

Attitudes and purchase intentions of polish university students towards food made from insects-A modelling approach.

The marketing of insect-derived protein has led to the development of respective legal regulations on such insects-based foods in the European Union. Despite the interest in the area of insect-based food, European researchers have paid relatively little attention to consumer attitudes and behaviors towards such products or the factors that may affect them. Attempts undertaken so far in this respect are insufficient; therefore, there is a need to continue and expand research in this field.

Spatial-temporal evolution and driving factors of rural resilience in the urban agglomerations in the middle reaches of the Yangtze River, China.

How to maintain the balanced stability and resilient development of rural systems is an important issue that needs urgent attention in the field of sustainable rural development at present. In this paper, the entropy method, spatial autocorrelation model, and Geodetector were used to explore the rural resilience level, spatial distribution characteristics, and driving factors of 31 cities in the urban agglomerations in the middle reaches of the Yangtze River (UAMRYR), and to put forward corresponding policy suggestions. The results are as follows: (1) From 2005 to 2020, rural resilience in the UAMRYR showed an upward trend with an average annual growth rate of 8.

A chemical accident cause text mining method based on improved accident triangle.

Background: With the rapid development of China's chemical industry, although researchers have developed many methods in the field of chemical safety, the situation of chemical safety in China is still not optimistic. How to prevent accidents has always been the focus of scholars' attention.

Methods: Based on the characteristics of chemical enterprises and the Heinrich accident triangle, this paper developed the organizational-level accident triangle, which divides accidents into group-level, unit-level, and workshop-level accidents.

Body image and willingness to change it-A study of university students in Poland.

The present study aimed to identify declared patterns of ideal appearance among students at selected higher education institutions in Poland. In the present study, we set out to identify the body image and the propensity to change it. In order to achieve the goal of the study, a nationwide survey was carried out using a voluntary diagnostic survey.

Do adaptive policy adjustments deliver ecosystem-agriculture-economy co-benefits in land degradation neutrality efforts? Evidence from southeast coast of China.

Ecosystem restoration projects (ERPs) facilitate land degradation neutrality (LDN). However, the response dynamics and interactions of sectors within ecosystem-agriculture-economy nexus (EAEN) have not been sufficiently explored, which constrains the coordinated efficacy of LDN efforts. To bridge the knowledge gaps, the present study selected a land restoration hotspot in southeastern China as a case to investigate the simultaneous responses of the EAEN sectors to ERPs from a novel social-ecological system (SES)-based LDN perspective.

Spatial heterogeneity analysis of matching degree between endangered plant diversity and ecosystem services in Xishuangbanna.

Biodiversity and ecosystem services (ESs) are closely linked. Human activities have caused critical damage to the habitat and ecosystem function of organisms, leading to decline in global biodiversity and ecosystem services. To ensure sustainable development of local ecological environments, it is critical to analyze the spatial matching degree of biodiversity and ESs and identify ecologically vulnerable areas.

Strain, loss of time, or even gain? A systematic review of technology-based work extending and its ambiguous impact on wellbeing, considering its frequency and duration.

Especially in knowledge-intensive professions, workers engage in work-related communication and access digital work content outside of working hours. Scientific research on technology-based work extending has flourished in recent decades, but yielded inconclusive results about its relationship with workers' wellbeing and focused on different temporal characteristics of the behaviour. Consequently, in this article, we address the question of whether different temporal characteristics of technology-based work extending, such as the frequency and duration of the behaviour, may have different consequences for workers' wellbeing.

A multi-strategy improved tree-seed algorithm for numerical optimization and engineering optimization problems.

Tree-seed algorithm is a stochastic search algorithm with superior performance suitable for solving continuous optimization problems. However, it is also prone to fall into local optimum and slow in convergence. Therefore, this paper proposes an improved tree-seed algorithm based on pattern search, dimension permutation, and elimination update mechanism (PDSTSA).

Towards sustainable management of agricultural resources: A framework to assess the relationship between water, soil, economic factors, and grain production.

As the requirements for environmental protection and high-efficiency economies increase, grain production (GP) across the globe faces more stringent ecological constraints and economic pressure. Understanding the relationships between natural resources and economic and agricultural factors in grain-producing regions is paramount for ensuring global food security. This paper proposes a methodological framework to explore the relationships between water and soil resources (WSRs), economic input factors (EIFs), and GP.

System comprehensive risk assessment of urban rainstorm-induced flood-water pollution disasters.

The urban rainstorm-induced flood-water pollution disaster is a kind of systematic risk, which may induce secondary disasters that can lead to more serious damage, so this paper first adopts the fuzzy comprehensive evaluation method to determine the flood risk by combining with the submergence depth derived from the risk field and other factors data, and then the grid environmental risk evaluation method, which is improved by increasing the induced possibility based on Bayesian theory, is used to evaluate the flood-induced water pollution risk, and the system comprehensive risk of rainstorm-induced flood-water pollution disasters is finally obtained by constructing risk level matrix, which can well depict the coupling superposition effect. Shenzhen City is selected as the study area, and the results showed that the area with high-risk of both flood and water pollution only accounts for about 0.14% of the total area, mainly distributed in the eastern junction of Longgang district and Pingshan district, where the rainstorms occur frequently and the enterprise risk sources are dense.

Analysis of Risk Factors of Coal Chemical Enterprises Based on Text Mining.

Coal chemical enterprises have many risk factors, and the causes of accidents are complex. The traditional risk assessment methods rely on expert experience and previous literature to determine the causes of accidents, which has the problems such as lack of objectivity and low interpretation ability. Analyzing the accident report helps to identify typical accident risk factors and determines the accident evolution rule.

Achieving balance between socioeconomic development and ecosystem conservation via policy adjustments in Guangdong Province of southeastern China.

Rapid urbanization improves socioeconomic development but challenges ecosystem sustainability. Meanwhile, the gradient responses of ecosystem services (ESs) to landscape structures and associated regime shifts of the agriculture-ecosystem-economy nexus (AEEN) have not been sufficiently addressed, preventing an effective balance between socioeconomic prosperity and ecosystem conservation. To bridge this knowledge gap, this study selected the Guangdong Province of southeastern China to explore landscape dynamics from 1985 to 2020 and their spatially heterogeneous impacts on ESs and the AEEN, based on Integrated Valuation of Ecosystem Services and Trade-offs approach and other biophysical models as well as statistical records about socioeconomic factors.

Freshwater species diversity loss embodied in interprovincial hydroelectricity transmission with ecological network analysis.

A major strategy for addressing the imbalance in source-network-load distribution is interprovincial electricity transmission; however, this process also causes various environmental effects. Previous studies have mainly examined thermal power transmission, and few insights have been gained into the challenges hydroelectricity transmission poses for biodiversity conservation. Here, we innovatively incorporated the freshwater species diversity footprint into a hydropower environmental impact assessment, calculating the interprovincial transfer of freshwater species diversity embodied in hydroelectricity transmission.

Development and validation of a scale to measure team communication behaviors.

Introduction: With the COVID-19 pandemic, remote work was increased all over the globe. As a consequence, workers had to adapt their communication behaviors to smoothly coordinate work in their flexible teams (i.e.

The next step for China's national park management: Integrating ecosystem services into space boundary delimitation.

The contradiction between ecological conservation and economic development posed significant challenges to the management of National Parks. From the perspective of Ecological Economics, the cause of the contradiction is the difficulty of creating monetary profits from biodiversity conservation, which is the primary target of National Parks. Integrating Ecosystem Services (ESs) into space boundary delimitation is the next step in National Park management since ESs are closely related to human well-being and can provide monetary benefits.

Leading in the Paradoxical World of Crises: How Leaders Navigate Through Crises.

Unlabelled: Living and operating in a global world, the risk for a global economic crisis has never been greater. As ongoing events, such as the COVID-19 pandemic, the recent war in Ukraine or the sharply increasing inflation have shown, organizations need to be highly resilient to persevere in a crisis-prone world. Even though we know that crises serve as a focal lens on leadership behavior and leaders play a crucial role in these scenarios, little is known as to how leaders handle an existence-threatening organizational crisis.

Multi‑strategy Equilibrium Optimizer: An improved meta-heuristic tested on numerical optimization and engineering problems.

The Equilibrium Optimizer (EO) is a recently proposed intelligent optimization algorithm based on mass balance equation. It has a novel principle to deal with global optimization. However, when solving complex numerical optimization problems and engineering problems, the algorithm will get stuck into local optima and degrade accuracy.

Remote workers' free associations with working from home during the COVID-19 pandemic in Austria: The interaction between children and gender.

Empirical evidence from the COVID-19 pandemic shows that women carried the major burden of additional housework in families. In a mixed-methods study, we investigate female and male remote workers' experiences of working from home (WFH) during the pandemic. We used the free association technique to uncover remote workers' representations about WFH (i.