Low Technology Research Articles

Breaking Barriers: Investigating Technology Adoption in Micro, Small, and Medium Enterprises (MSMEs) Among Low-Income Women Entrepreneurs in Malaysia

In Malaysia, the B40 segment, particularly low-income women entrepreneurs, faces distinct challenges in adopting technology within their businesses. This qualitative study explores the low uptake of technology adoption among these entrepreneurs to understand the underlying dynamics. By addressing the "what" and "why" of low technology adoption, the research aims to provide insights for fostering inclusivity and empowerment within Malaysia's entrepreneurial landscape. The study involved an in-depth focus group discussion with 25 women entrepreneurs from four states across Malaysia, utilizing thematic analysis with Atlas TI. Key findings reveal issues related to technology adoption based on TAM theory. The findings indicate that most entrepreneurs are integrating technology into their business operations, either through social media marketing, e-commerce platforms, cashless payment methods, online delivery services, and machines, regardless of whether they are located in rural or metropolitan areas. The majority of the respondent are utilizing technology through their social media marketing. These situations have arisen as a result of the impact of COVID-19, which has compelled all entrepreneurs to adopt technology, even at a minimal level. The majority use social media platforms like Facebook and WhatsApp for marketing and adopt online banking and cashless payment methods such as DuitNow QR Code, Touch 'n Go, Boost, Shopee Pay, and Sarawak Pay. Despite using online food delivery services like Food Panda and Grab Food, trust issues such as payment delays, non-payment by drivers, and high commission fees make these platforms less appealing. Additionally, entrepreneurs prefer traditional methods over machinery to maintain quality and struggle to meet e-commerce demand due to their small-scale production, limiting their ability to fully use technology for business growth and sustainability. The findings support the theoretical insights of the TAM model and suggest actionable strategies for fostering technology adoption and empowerment among low-income women entrepreneurs in Malaysia.

Transfer of micron pattern with reactive atmospheric plasma jets into fused silica

Pattern transfer by plasma etching is a traditional standard technology in microelectronics and other micron technologies. These technologies require vacuum conditions, which limit throughput, size, and low-cost fabrication. Recent developments in low cost atmospheric plasma technologies may be suitable to realize pattern transfer without vacuum conditions. Reactive atmospheric plasma jet etching has been used to transfer aluminum mask patterns to fused silica. Aluminum line patterns of 2.5 to 50 µm width on fused silica wafer are exposed to a static as well as a scanning CF4/O2 reactive atmospheric plasma jet with a footprint diameter of 0.85 mm (full width at half maximum), resulting in etching only the SiO2 and causing a nearly isotropic etch with an etch rate of about 200 nm/s. As a result, line narrowing, trapezoidal line cross-sections, and under-etching were observed. The successfully transferred line patterns with the demonstrated widths and depths are of technological interest in various fields of application. Therefore, this approach enables low-cost patterning of fused silica through the use of reactive atmospheric plasma jet etching for micron-scale pattern transfer. This advancement addresses the limitations of both traditional vacuum-based and wet etching methods.

Carbon Border Adjustment Mechanism (CBAM) Implementation on Reducing Emission in the ASEAN Energy Sector

Abstract In the context of global efforts to combat climate change and transition towards a low-carbon economy, the European Union (EU) has introduced the Carbon Border Adjustment Mechanism (CBAM) as part of its ambitious Green Deal. This mechanism aims to address carbon leakage from high-emitting industries and ensure fair conditions for European industries. The ASEAN region, as highlighted in the 7th ASEAN Energy Outlook (AEO7) study, is projected to experience a substantial increase in greenhouse gas (GHG) emissions, reaching 6,704 Mt CO2-eq by 2050 compared to a baseline scenario of 1,815 Mt CO2-eq in 2020. Consequently, ASEAN has recognized the urgency to earnestly reduce its emissions in response to the global push for carbon neutrality. The implementation of CBAM by the EU has prompted many countries, including ASEAN Member States (AMS) exporting goods to the EU and beyond, to consider the adoption of CBAM policies. This study examines the potential implications of CBAM for the emission reduction in high-emitting industries in ASEAN (such as cement, iron and steel, aluminum, fertilizers, and electricity generation). The findings indicate that the implementation of CBAM may result in higher product prices for these industries, as they will be required to account for the climate footprint of their manufacturing activities through additional fees. However, it also presents an opportunity for emission reductions within these industries by incentivizing the adoption of renewable energy sources to mitigate their carbon footprint during manufacturing processes. To effectively respond to the implementation of CBAM, the region should adopt three key strategies: 1) active participation in and implementation of carbon pricing mechanisms, 2) increased investments in low carbon technologies, and 3) establishment of strategic partnerships to enhance trade relations between the EU and ASEAN.

Zn(II)-based 2D coordination polymer bridged by isophthalate and Dipyridylsulphide : Structural characterisation, Schottky diode device and theoretical interpretation

The design of low cost, easy-to-prepare, soft-to-handle and sustainable material-based technology has been growing day-by-day. Coordination polymers (CPs) are such emerging materials those have been instructed as one of the premium resources to serve the electronic industry. In this aspect, we have designed a hetero-bridging Zn(II)-coordination polymer using two different bridging ligands - 4,4′-Dipyridylsulphide (4,4′-DPS) and 5-Nitroisophthalic acid (5-H2NIA), {[Zn(4,4′-DPS)2(5-HNIA)2(H2O)]n} (Zn-CP) and characterize the crystalline compound with Single Crystal X-ray diffraction (SCXRD) technique. The structure demonstrates that Zn-CP consists of two-dimensional (2D) network with distorted trigonal bipyramidal Zn(II) center (ZnN2O3). The self-assembly of 2D network by different non-covalent interactions forms three-dimensional (3D) supramolecular architecture. Hirshfeld surface analysis effectively evaluates the possibilities of non-covalent interactions present in Zn-CP. Density functional theory (DFT) based numerical calculation using crystallographic parameters has estimated the band gap 3.51 eV which implies the semiconducting nature of Zn-CP. This property has been endorsed by the determination of band gap from Tauc's plot (3.71 eV) using UV–Visible absorption data. The electrical conductivity of Zn-CP determined at room temperature is 8.54 x 10–7 S m-1. The DC activation energy of the device is 9.05 × 10–19 eV with the conductivity limit, 4.71 (Ω-m)-1 having Richardson constant, 7.07 × 10–10Am−2K−2and barrier height is 0.87 eV which suggests that the Zn-CP is n-type semiconductor. Thus, the present work may provide a facile pathway for laboratory-to-land application of such energy materials taking into consideration of technological aspect in the highly energy demanding era. Hence, the synthesized Zn-CP may have energy material application in the semiconducting industry.

Exploring the diffusion of low-carbon power generation and energy storage technologies under electricity market reform in China: An agent-based modeling framework for power sector

Promoting the widespread adoption of multi-complementary low carbon power generation technologies is a fundamental strategy for attaining carbon neutrality within the electricity sector. In the context of electricity market reform, this study develops an agent-based modeling framework integrated simulation with optimization. The model uses agent-based simulation to analyze annual market dynamics and low-carbon technology diffusion, with a two-stage optimization for energy storage and spot market simulation. The research findings indicate: (1) For different power generation technologies, the spot market can establish differentiated average prices, making the market price of carbon-captured coal power higher than that of conventional coal power, which are advantageous in reducing the subsidies required to promote the diffusion of carbon capture technology. (2) Expanding the spot market scale and implementing differentiated capacity compensation mechanisms both promote carbon capture technology diffusion. Nevertheless, with the marginal clearing mechanism, thermal power holds a average price advantage than renewable energy. Failing to control the growth of thermal power capacity will result in increased carbon emissions. (3) After 2030, energy storage's role in balancing supply and demand grows. Storage capacity should align with renewable energy scale and the regional characteristics of wind and solar resources to prevent overbuilding and stranded assets.

Examining Technology Integration in Micro Teaching: Unique Insights from Pre-Service Teachers at Universitas Widya Gama Mahakam Samarinda Using the Harris, Grandgenett, and Hofer Framework

The objective of the study was to know the categories of Harris J., Grandgenett, N., and Hofer M toward preservice teachers in Micro Teaching Course at Widya Gama Mahakam Samarinda University. This study was conducted at fifth semester of English Education Department, University of Widya Gama Mahakam Samarinda. This study focused on technology integration of pre service teachers that implemented in micro teaching course. Design of this study was qualitative study. There were 24 pre-service teachers in this study determined by purposive sampling. The instrument used was interview guide by Harris J., Grandgenett, N., and Hofer M. There were 5 pre-service teachers who were willing to be the interviewees. Then, the researcher collected the data by simulated recall interview and video as the source of data. The result of the study showed pre service teachers were good enough in implementing technology integration in their micro teaching course. There were four categories seemed in this study. They were about curriculum goals, instructional strategy, technology selection, and fit. Researchers conclude that all the categories were fit together in a harmony although some of preservice teachers still using low technology in their practice

Analysis and optimization of energy conversion for an on-board methanol reforming engine with thermochemical recuperation

Methanol steam reforming (MSR) is a promising method to address the storage and safety issues of hydrogen-fueled engines. This method can also significantly improve engine efficiency by recovering exhaust heat. Additionally, low temperature combustion technology can effectively mitigate the issue of excessively high NOx emissions in hydrogen internal combustion engines. However, research on the integration of low temperature combustion technology with methanol steam reforming is limited, and the design of reformers and strategies for methanol reforming remains underdeveloped. Therefore, a one-dimensional model of the methanol steam reforming engine system was established, and methanol reforming strategies were evaluated under varying engine loads. Further a multi-objective optimization of the reformer was conducted to balance system efficiency and economy. The results indicate that complete methanol reforming is unattainable at mid to high loads due to significant turbo work. A partial methanol reforming strategy, where part of the methanol is directly combusted in the cylinder and the rest is reformed to produce hydrogen, achieves the highest system efficiency. After multi-objective optimization of the reformer, this MSR engine yielded a 5.54% increase in average overall system efficiency under three loads, compared to not using thermochemical recuperation.

Deformation strengthening mechanism of laser remelted high manganese steel

In order to further improve the deformation hardening ability of high manganese steel (HMnS) under low stress or small deformation, a low speed laser remelting technology was proposed to process the HMnS surface. Through parameters optimization, microstructure characterization, wear testing, and deformation strengthening analysis, the deformation strengthening mechanism of laser remelted HMnS (LR-HMnS) was systematically studied, and excellent wear resistance properties was also achieved. Firstly, by optimizing the parameters of laser remelting, high-quality microstructures with large remelting depth and fewer porosities were obtained. Then, the sliding wear tests showed that although the surface hardness of LR-HMnS (252.83HV0.3) was only 2.56 % higher than that of continuous casting HMnS (CC-HMnS) (246.53HV0.3), its volume wear rate (1.87×10−5 mm3/N·m) was only 10 % of CC-HMnS (18.71×10−5 mm3/N·m), which exhibited excellent wear resistance properties. Finally, for quantitative evaluating its work hardening at high strain rates, Hopkinson compression test of LR-HMnS was conduced according to the operating conditions of HMnS parts. The microstructure after small compression deformation was analyzed using EBSD and TEM. It was found that the larger grain size of LR-HMnS was helpful of reducing the nucleation stress of twins, forming high-density nano-twins, high-density stacking faults, and high-density dislocations. The synergistic effect of stacking faults, dislocations, and twins which segmented the matrix and refined the grains, and achieved the dynamic Hall-Petch effect. The superior deformation strengthening and wear resistance exhibited by larger grain HMnS were called the inverse grain size effect. Additionally, the large number of C-Mn strong bond networks formed by element segregation could enhance the pinning effect of dislocations, promote deformation hardening rate and wear resistance properties under low stress or small deformation. The research results provided a new method for pre-hardening of HMnS, and will also expand the application potential of HMnS in combined conditions of high, medium, and low impact.

Evaluation of low volume sampling devices for a pharmacodynamic biomarker analysis: Challenges and solutions

Low volume sampling technologies have gained popularity as they are minimally invasive, reduce patient burden, enhance population diversity, and have the potential to facilitate decentralized clinical trials. Herein, we validated a Gyrolab assay to measure soluble Mucosal Addressin Cell Adhesion Molecule 1 (sMAdCAM-1) in dried blood samples collected using two low volume sampling devices, Mitra and Tasso-M20. This validated assay was implemented in a proof-of-concept study to compare three low volume sampling devices (Mitra, Tasso-M20 and TassoOne Plus) with serum collected via venipuncture from healthy volunteers receiving etrolizumab. We observed significantly higher concentration of sMAdCAM-1 in dried blood samples collected using Mitra and Tasso-M20 compared to serum in some paired samples, which was attributed to interference from the dried blood extraction buffer. To mitigate this interference, samples required substantial dilution into the appropriate buffer, which negatively impacted the detectability of sMAdCAM-1 with the Gyrolab assay. By employing the Quanterix single molecule array (Simoa), known for its superior assay sensitivity, the interference was minimized in the diluted samples. Both liquid blood collected in TassoOne Plus and dried blood collected using Mitra and Tasso-M20 demonstrated great concordance with serum for sMAdCAM-1 measurement. However, a bias was observed in Mitra dried blood samples, presumably due to the different sample collection sites in comparison with venipuncture and Tasso devices. Our study highlights the potential of low volume sampling technologies for biomarker analysis, and underscores the importance of understanding the challenges and limitations of these technologies before integrating them into clinical studies.

Spontaneous ignition and flame propagation in hydrogen/methane wrinkled laminar flames at reheat conditions: Effect of pressure and hydrogen fraction

Direct numerical simulations (DNS) with detailed chemical kinetics and chemical explosive mode analysis (CEMA) are performed to investigate the effect of operating pressure and hydrogen–methane blending on laminar wrinkled flames at reheat combustion conditions. Building upon previous three-dimensional DNS datasets of reheat hydrogen flames, the present work considers two-dimensional configurations that render computationally-feasible simulations of high-pressure combustion and significantly more complex hydrocarbon chemistry. A geometrically-simplified representation of the reheat combustor is adopted and the thermodynamic states considered in the simulations are carefully chosen to mimic gas turbine operation conditions, which are constrained to achieve a target flame position and flame temperature. The two-dimensional DNS results are first assessed against the available three-dimensional data and then analyzed to extract the main trends exhibited by the reheat combustion process with respect to the fraction of the fuel consumed by spontaneous ignition and flame propagation, for increasing pressures and hydrogen fractions. Due to significant differences in the characteristic features of the velocity and thermal boundary layers between the three-dimensional and the two-dimensional configurations, a different global flame shape is observed (V-shaped flame vs W-shape flame) together with a ∼10% bias in the fraction of fuel consumed by spontaneous ignition. Crucially, results from the scaling studies reveal very clear trends with a significant decrease in the fuel consumption by spontaneous ignition for increasing pressures and hydrogen fractions, at the conditions investigated. Finally, this study highlights the important role that first-principle direct numerical simulations, even when conducted in computationally affordable two-dimensional simplified geometrical configurations, can play in obtaining detailed insights and quantitative trends useful for the characterization of complex reactive flows.Novelty and significanceThe reheat burners of the two-stage sequential gas turbine combustors are designed to stabilize flames primarily due to spontaneous ignition. However, prior numerical simulations revealed the presence of an additional assisted-ignition mode aided by recirculation zones. In this study, we used practically feasible two-dimensional direct numerical simulations of premixed hydrogen–air mixtures under lean conditions to quantify the roles of the two flame stabilization modes at different operating pressures. Achieving fundamental understanding of the effect of pressure and hydrogen fraction on flame stabilization is crucial to the development of two-stage sequential combustion and the present two-dimensional calculations provide important new insights. We show that at high pressures, both modes consume fuel to a similar extent. We also investigated the effect of methane blending on flame stabilization. This study also discusses how two-dimensional direct numerical simulations can be leveraged in the design optimization of reheat burners at low technology readiness levels.

Unlocking maintenance-architecting STEP for maintenance and realizing remountable magnet joints.

The architecture of the Spherical Tokamak for Energy Production (STEP) has been developed to enable a hybrid maintenance approach using ports in the vacuum vessel for a limited list of tasks that must be performed shortly after shutdown, and larger openings to simplify and speed up major refits. Robotic handling systems in zero-human entry facilities will prevent workers from being exposed to the most hazardous environments. While the approach is largely grounded in existing technologies, the scale and environment of STEP will require significant technology development. Notably, programmes have been established to develop service connections and in-vessel robotic technologies. The engineering integration of the maintenance strategy into the tokamak remains a priority, as does ongoing work to simplify and reduce the cost of the buildings required to facilitate maintenance. Remountable magnet joints are critical to ensuring life-limited magnet components can be replaced during the STEP lifetime and realizing the STEP maintenance strategy. It is a high-risk endeavour owing to the low technology maturity of the potential solutions and owing to the tough and intertwined technical challenges and constraints imposed by both the fundamental physics and the STEP requirements and architecture. An integrated design approach has been taken to balance many competing factors and integrate with interfacing systems, and a multi-faceted technology development programme has been established to address technical risk and to inform, verify and validate the STEP remountable magnet design. This article is part of the theme issue 'Delivering Fusion Energy - The Spherical Tokamak for Energy Production (STEP)'.

Lightweight and accurate aphid detection model based on an improved deep-learning network

Rapid and accurate detection of bamboo aphids can help prevent large-scale aphid infestations from occurring, which is of great significance for increasing bamboo shoot production and economic benefits. Herein, a lightweight and accurate model, SCA-YOLOv5s, was established by integrating ShuffleNetv2 and Coordinate Attention with the YOLOv5s model to detect Takecallis taiwanus on the yellow sticky traps. Specifically, we first replaced the backbone network of YOLOv5s with ShuffleNetv2 to reduce the number of parameters and computational complexity of the model. Second, an anchor optimization method was proposed by combining linear scaling and k-means algorithm to generate appropriate anchor boxes for detecting small-sized alate aphids. Third, the coordinate attention mechanism was added to the neck network to improve the feature extraction ability. To verify the performance of the proposed SCA-YOLOv5s model, eight detection models were constructed with existing deep learning methods, including SSD300, YOLOv3, Faster R-CNN, YOLOv4, YOLOv4-Tiny, YOLOX-Tiny, YOLOv7-Tiny, and YOLOv5s. Results reveal that the SCA-YOLOv5s model achieved higher detection accuracy than the other eight models. Its mean average precision reached 92.2 %. The proposed model has a size of only 6.7 MB, its floating-point operations (FLOPs) is 7.4 × 109, its inference time is 6.6 ms, and compared with YOLOv5s, it is 53.47 % smaller in model size, 55.15 % lower in FLOPs, and 0.8 ms faster in inference time. The results indicate that the proposed model can maintain high detection accuracy while minimizing computation and inference time, which is crucial for deployment in remote areas with low information technology. This study provides valuable technical support for the control of aphids in bamboo forests.

The One Health approach in food safety: Challenges and opportunities

AbstractAccording to the World Health Organization, contaminated food causes approximately 600 million cases of illness and 420,000 associated deaths worldwide each year. In this scenario, food safety is a crucial task, which is based in the application of correct hygiene practices throughout the entire food production chain: from farm to table. Ensuring food safety requires the implementation of practical, comprehensive, affordable, and effective approaches such as Hazard Analysis and Critical Control Points, Good Agricultural Practices, Good Manufacturing Practices, use of low cost technologies for traceability, regular inspection and auditing, as well as education and training, among other factors. In addition, it is essential to establish more comprehensive strategies based on the One Health approach. Since human health and animal health are interdependent and linked to the health of the ecosystems in which they coexist, collaboration between multiple disciplines is necessary to achieve optimal health for people, animals, and the environment. Within the food system, the One Health approach can be useful, for example, in the fight against zoonoses or antibiotic resistance. This paper describes various aspects related to the main biotic food‐borne diseases, the problem of biofilms and the impact of different antimicrobials (whether biocides or antibiotics) on antibiotic resistance, listing a range of alternatives to the use of classic sanitizing compounds. All of this has the aim of giving an overview of the different factors, including those connected to the environment or animal health, which can influence food safety and thus public health.

The role of African extractive industries in the global energy transition: An analysis of barriers and strategies

Endowed with a significant proportion of the world’s petroleum and solid mineral resources, Africa is the location of a vibrant and dynamic extractive industries sector, which today, is its chief economic mainstay. The revenue generated from the extractive industries has been a significant source of finance for public infrastructure development and investments in education, health and the development of other economic sectors across the continent. However, the African extractive industries have faced massive setbacks in recent years, in particular due to the economic disruptions caused by the coronavirus (COVID-19) pandemic, and the global transition to a low carbon economy that has formed a central part of ongoing efforts to respond to the climate change emergency. These challenges have accentuated concerns on the current and future relevance of the African extractive industries in a low-carbon economy world order.This article examines the role played by the African extractive industries in the global energy transition, contextualising these concerns against a continuum of disruption arising as a consequence of the COVID-19 pandemic and emergent efforts to redress the crisis posed by anthropogenic climate change. If well managed, extractive resources could play a crucial role in advancing energy security and transition in the African continent in the face of these challenges. In addition to its role in addressing current high levels of energy poverty across Africa in this disruptive setting, environmentally-responsible production of extractive resources can help sustain economic and social development across Africa in going forward. This article examines the current opportunities and challenges for cleaner and environmentally-responsible extractive investments in Africa in a low carbon world. It analyses the preconditions and barriers to environmentally-responsible fossil fuels developments in Africa and highlights the key considerations for African policymakers. Its analysis is informed by recognition of, and sensitivity towards, the extreme disruption to fossil fuel governance embodied by the twin concerns of the COVID-19 pandemic and the current “climate emergency.” Through a qualitative analysis, this research has found that if well-managed, African resource-rich countries could utilise the revenues from the extractive industries to invest in low carbon technologies.

The ‘Green War’: Geopolitical Metabolism and Green Extractivisms

ABSTRACT Through ‘green transitions’ and ‘climate action’, geopolitical actors seem to be vying for dominance based on justifications that articulate geopolitical, economic, and ecological concerns. This ‘Green War’ geopolitical framing advances and consolidates imperial power through policies seeking to promote and secure ‘low carbon technology’ and ‘critical minerals’ supply chains, intensifying what we see as a novel ‘geopolitical metabolism’. Whereas geopolitical metabolisms used to notably focus on controlling the flow of fossil fuels, there is a growing emphasis on the ‘green extractivisms’ that underpin ‘green transition’ initiatives. This Green War framing and accompanying geopolitical metabolism enable states and corporations to advance and consolidate imperial power by capturing and perverting a much-needed geo-politics, or ‘politics of the Earth’. As such, we challenge the Green War geopolitical framing as part of the crucial effort to articulate an alternative geo-politics that promotes peace while reducing and redistributing energetic and material flows.

Too Far? Autonomous vehicles, travel demand, and carbon dioxide emissions in Sweden

This article envisions that by the middle of this century fully self-driving Autonomous Vehicles (AVs) are available for private use. By considering how AVs can affect the utility of being in the vehicle, and accounting for the utility of being able to transport oneself to and from various locations, we derive the consumer surplus of having an AV and evaluate that against the cost of adopting the technology. This break-even calculation is used to evaluate AV purchase and consequent impacts on increase in travel demand and lifecycle CO2 emissions for different income groups for different assumptions concerning the Value of Travel Time, transport demand elasticity, AV technology costs, interest rates, and the possibility to work in the car or not. The modelled results show that all income groups purchase AV given low technology cost, and the highest income groups purchase AV under most conditions. Changes in demand elasticity and the value of travel time have the largest effect on vehicle miles traveled, which could be as much as 50 additional kilometers daily per driver. Even in a scenario consistent with the Paris Agreement, this implies an annual carbon footprint of 0.42 – 0.86 metric tons of CO2 per driver from personal car travel in Sweden.

Post-mortem to ante-mortem facial image comparison for deceased migrant identification

The identification of deceased migrants is a global challenge that is exacerbated by migration distance, post-mortem conditions, access to ante-mortem data for comparison, inconsistent international procedures and lack of communication between arrival and origin countries. Due to low technology requirements, fast speed analysis and ease of transferring digital data, facial image comparison is particularly beneficial in those contexts, especially in challenging scenarios when this may be the only initial ante-mortem data available to identify the deceased. The Facial Identification Scientific Working Group (FISWG) professional guidelines for facial image comparison were developed for living facial appearance, and, therefore, a tailored protocol for the application of post-mortem to ante-mortem facial image comparison was proposed and evaluated in this research. The protocol was investigated via an inter-observer and an accuracy study, using 29 forensic cases (2001–2020) from the University of Milan, provided by the Laboratory of Forensic Anthropology and Odontology. In order to replicate a migrant identification scenario, each post-mortem subject was compared to all 29 ante-mortem targets (841 comparisons). The protocol guided the practitioner through stages of facial image comparison, from broad (phase 1) to more detailed (phase 3), eventually leading to a decision of ‘exclusion’ or ‘potential match’ for each post-mortem to ante-mortem case (phase 4). In phase 4, a support scale was also utilised to indicate the level of confidence in a potential match. Each post-mortem subject could be recorded with multiple potential matches. The protocol proved to be useful guide for facial image comparison, especially for less experienced practitioners and the inter-observer study suggested good reproducibility. The majority (82–96%) of ante-mortem subjects were excluded at the first stage of the protocol, and 71 full post-mortem to ante-mortem facial image comparisons were carried out. On average, two or three potential matches were recorded for each post-mortem subject. The overall accuracy rate was 85%, with the majority (79%) of ante-mortem non-targets correctly excluded from the identification process. An increased number and quality of available ante-mortem images produced more successful matches with higher levels of support. All potential matches involving non-targets received low levels of support, and for 73% of the post-mortem subjects, the ante-mortem target was the only recorded potential match. However, two ante-mortem targets were incorrectly excluded (one at the first stage of the protocol) and therefore changes to the protocol were implemented to mitigate these errors. A full protocol and a practical recording chart for practitioner use is included with this paper.

Selectivity Descriptors of Methanol‐to‐Aromatics Process over 3‐Dimensional Zeolites

AbstractThe zeolite‐catalyzed methanol‐to‐aromatics (MTA) process is a promising avenue for industrial decarbonization. This process predominantly utilizes 3‐dimensional 10‐member ring (10‐MR) zeolites like ZSM‐5 and ZSM‐11, chosen for their confinement effect essential for aromatization. Current research mainly focuses on enhancing selectivity and mitigating catalyst deactivation by modulating zeolites′ physicochemical properties. Despite the potential, the MTA technology is at a low Technology Readiness Level, hindered by mechanistic complexities in achieving the desired selectivity towards liquid aromatics. To bridge this knowledge gap, this study proposes a roadmap for MTA catalysis by strategically combining controlled catalytic experiments with advanced characterization methods (including operando conditions and “mobility‐dependent” solid‐state NMR spectroscopy). It identifies the descriptor‐role of Koch‐carbonylated intermediates, longer‐chain hydrocarbons, and the zeolites′ intersectional cavities in yielding preferential liquid aromatics selectivity. Understanding these selectivity descriptors and architectural impacts is vital, potentially advancing other zeolite‐catalyzed emerging technologies.

Greenhouse gas emission reduction potential in road tunnels – Can we reach the European Union goals with existing materials and technologies?

To achieve the European Uniońs climate goals, the Norwegian transport sector has committed to decrease the Greenhouse gas (GHG) emissions by 2030. For infrastructure projects, the GHG emissions from construction must be reduced by 40 %, while the emissions from maintenance must be cut by 50%. This paper investigates how realistic the GHG emission reduction goals are, if available low carbon materials and technologies are fully adopted. To examine this, we have chosen a typical Norwegian road tunnel from which two carbon emission scenarios are presented. While tunnels represent a specific subset of road infrastructure, this study showcases that implementing sustainable practices in drill and blast tunnel construction can align with the European Union’s ambitious 2030 targets. Besides this, the findings can assist stakeholders to get advice on the environmental impacts of tunnel designs.

Forward osmosis for concentrating lithium-enriched brine: From membrane performance to system design

Using concentrated salt-lake brine as the draw solution (DS), forward osmosis (FO) has been proposed as the low carbon footprint concentration technology for extracting water from lithium-enriched brine. From membrane modules to a process, there exist tremendous risks when considering total cost in time and investment for a trial. To address this issue, a bridge between the FO membrane/ module characteristics and a FO system design is highly desirable. This study for the first time developed a system design model using hollow fiber (HF) FO membrane modules for FO concentration of lithium-enriched brine. The concentration polarization along the module, the membrane structural parameters (S), crossflow velocity, and DS concentration were the main factors considered in the model. The effect of all factors on module water flux and total membrane area was systematically investigated for a typical industrial output of 10 k ton of Li2CO3. A master curve of the water flux verse feed concentration for the tailor-made HF modules was utilized as the basis. On a module scale, the structural parameter S is of first importance and indicates requirement of FO membranes with low S. The crossflow velocity has relatively small impact to the membrane area, but not negligible. On a system scale, the empirical equation of the structural parameters and crossflow velocity on the theoretical minimum system membrane area was summarized. The results show that increasing the stages can reduce the number of modules and required DS flow. Increasing DS dilution rate in system design efficiently utilizes the osmotic pressure of DS. The present model serves as a practical solution for process optimization and FO membrane selection. The methodology is valuable for other FO applications using HF FO membranes.