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Attributing the impacts of ecological engineering and climate change on carbon uptake in Northeastern China

Context: In the past decades, several ecological engineering (eco-engineering) programs have been conducted in China, leading to a significant increase in regional carbon sink. However, the contribution of different eco-engineering programs to carbon uptake is still not clear, as the location of different programs is difficult to identify, and their impacts are concurrent with climate change. Obje

Allergic reactivity for different dilutions of eugenol in repeated open application test and patch testing

Background: Eugenol is a known contact sensitiser included in fragrance mix I. Objective: To assess the allergic reactivity to eugenol in different concentrations using patch test as well as repeated open application test (ROAT). Methods: Overall 67 subjects from 6 European dermatology clinics participated in the study. The ROAT was performed for 21 days twice a day, applying 3 dilutions of eugeno

Nanoplastics released from daily used silicone and latex products during mechanical breakdown

Waste of polymer products, especially plastics, in nature has become a problem that caught the awareness of the general public during the last decade. The macro- and micro polymers in nature will be broken down by naturally occurring events such as mechanical wear and ultra-violet (UV) radiation which will result in the generation of polymeric particles in the nano-size range. We have recently sho

Groundwater Vulnerability to Nitrate Contamination from Fertilizers Using Modified DRASTIC Frameworks

Vulnerability maps of groundwater provide an efficient means of identifying environmental trends and prioritizing regions for prevention plans. The GIS-based DRASTIC method, however, does not consider the impact of contamination, so there is a need to modify it according to the specifics of the region and its contamination load. The aim of this study is to investigate a suitable DRASTIC modificati

Ostädade väckelser : modernitetens förtrupper

Berättelsen om hur det moderna Sverige växte fram har länge varit förenklad. Övergången från ett förmodernt, patriarkalt samhälle till ett modernt och demokratiskt beskrivs gärna som medelklassens och centralmaktens förtjänst. Men något som ofta har utelämnats är de religiösa väckelsernas bidrag särskilt de extatiska och mer provocerande rörelserna.I denna antologi ger fjorton forskare från olika

Dynamic Community Detection for Brain Functional Networks During Music Listening With Block Component Analysis

The human brain can be described as a complex network of functional connections between distinct regions, referred to as the brain functional network. Recent studies show that the functional network is a dynamic process and its community structure evolves with time during continuous task performance. Consequently, it is important for the understanding of the human brain to develop dynamic communit

Orbital and sub-orbital space tourism : motivation, constraint and artificial intelligence

Purpose: There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study

Machine Learning Based Digital Pre-Distortion in Massive MIMO Systems : Complexity-Performance Trade-offs

In this paper, we study the trade-off between complexity and performance in massive MIMO systems with neural-network based digital pre-distortion (NN-DPD) blocks at the base station. In particular, we consider a multi-user massive MIMO system with per-antenna NN-DPDs, each with an adjustable NN architecture in terms of the size and the number of NN hidden layers. We first analyze the system perfor

The course of health-related quality of life after the diagnosis of childhood cancer : a national cohort study

BACKGROUND: Comprehensive insight in the longitudinal development of health-related quality of life (HRQOL) after childhood cancer diagnosis could improve quality of care. Thus, we aimed to study the course and biopsychosocial determinants of HRQOL in a unique national cohort of children with cancer.METHODS: HRQOL of 2154 children with cancer was longitudinally reported (median: 3 reports) between

Self-Heating in Gate-All-Around Vertical III-V InAs/InGaAs MOSFETs

We investigate self-heating in vertical, gate-all-around III-V InAs/InGaAs nanowire MOSFETs using pulsed IV measurements at various temperatures. Low temperature measurements reveal a negative output conductance indicating self-heating in the transistor. Under pulsed measurements, an increase in drain current (15%) and transconductance (30%) are observed at room temperature, with values influenced

Machine learning algorithms comparison for manufacturing applications

With the vast amount of data available, and its increasing complexity in manufacturing processes, traditional statistical approaches have started to fall short. This is where machine learning plays a key role, addressing the challenges by bringing the ability to analyse large and complex datasets from multiple sources, finding non-linear and intricate patterns on data, relationships between severa

Food logistics 4.0 : opportunities and challenges

Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift deliv

A review of robotics and autonomous systems in the food industry : From the supply chains perspective

Background. An increasing global population means resource utilisation and food security remain the critical global challenges. Robotics and autonomous systems (RAS) have been applied to improve productivity, and their role in enhancing supply chain operations is explored here. Scope and approach. Researchers have studied ways to adopt and integrate RAS into the food industry. However, most of the

Real-time data collection to improve energy efficiency : a case study of food manufacturer

The rising price and demand for energy are significant issues for the food sector, which consumes a substantial amount of energy throughout the supply chain. Hence, improving energy efficiency has become an essential priority for the food sector. However, most food businesses have limited awareness of the recent technological advancements in real-time energy monitoring. Thus, the concept of “Inter

Improving the new product development using big data : a case study of a food company

Purpose: Recently, the concept of big data (BD) has evolved and started to play an essential role in the advancement of new product development (NPD) in various sectors contributing to value creation, idea generation and competitive advantage. However, limited research has been done on how the food industry can exploit BD to improve the processes involved in NPD. The purpose of this paper is to un

Internet of things-linked wearable devices for managing food safety in the healthcare sector

Food, hygiene, and safety are critical in healthcare institutions, especially those in which patients are vulnerable against diseases triggered by food prepared under improper conditions. In the United Kingdom, almost 400 healthcare institutions were found to need significant improvements to their food preparation standards (ITV News, 2016). Such institutions still rely on traditional pen and pape

Monitoring potato waste in food manufacturing using image processing and internet of things approach

Approximately one-third of the food produced globally is spoiled or wasted in the food supply chain (FSC). Essentially, it is lost before it even reaches the end consumer. Conventional methods of food waste tracking relying on paper-based logs to collect and analyse the data are costly, laborious, and time-consuming. Hence, an automated and real-time system based on the Internet of Things (IoT) co

The digitisation of food manufacturing to reduce waste : case study of a ready meal factory

Generation of food waste (FW) continues to be a global challenge and high on the political agenda. One of the main reasons for its generation is the absence of detailed data on the amount, timing and reasons for created waste. This paper discusses the design, the application and investigates the Internet of Things (IoT) based FW monitoring system to capture waste data during manufacturing in real-