Design Principles Research Articles

Smart speakers and skill use: what do we know?

Personal smart technologies are becoming increasingly interwoven into everyday life, yet the usability and usefulness for some of these off-the-shelf technologies for persons with disabilities has yet to be determined. Smart speakers with both their native and downloadable functionalities (skills) have great potential to support individuals with disabilities through communication functionalities, smart home integrations, and more. However, the potential for usefulness does not always translate to how something is actually perceived or used in the real-world. Therefore, the objective of this qualitative study was to gather insight from individuals with disabilities on their experiences with smart speakers and smart speaker skills. Participant feedback highlighted several primary themes: (1) external factors that might influence extent of, and advancement in smart speaker use, (2) Smart speaker use barriers, (3) Smart speaker use facilitators, and (4) Smart speaker uses specific to individuals with disabilities. Continued research and development is needed to help ensure that commercially available technologies are designed with universal design principles that will ensure accessibility for all potential users.

Evaluating the student performance prediction and action framework through a learning analytics intervention study

AbstractLearning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which typically requires substantial institution-wide efforts and investment to collect related data sets and develop accurate predictive models that identify at-risk students and also provide tools to facilitate interventions. This paper presents a novel LAI framework, termed Student Performance Prediction and Action (SPPA), that facilitates educators to seamlessly provide LAIs in their courses avoiding the need for large-scale institution-wide efforts and investments. Educators develop course-specific predictive models using historical course assessment data. In learning analytics, providing effective interventions is a challenge. SPPA utilises pedagogy principles in course design and interventions to facilitate effective interventions by providing insights into students’ risk levels, gaps in students’ knowledge, and personalised study/revision plans addressing knowledge gaps. SPPA was evaluated in a large undergraduate course on its ability to predict at-risk students and facilitate effective interventions as well as its ease of use by academics. The results are encouraging with high performance of predictive models, facilitating effective interventions leading to significant improved educational outcomes with positive feedback and uptake by academics. With its advantages, SPPA has the potential to catalyse and influence wide-scale adoption in LAIs.

Design and Implementation of Deduplication on F2FS

Data deduplication technology has gained popularity in modern file systems due to its ability to eliminate redundant writes and improve storage space efficiency. In recent years, the flash-friendly file system (F2FS) has been widely adopted in flash memory-based storage devices, including smartphones, fast-speed servers, and Internet of Things. In this article, we propose F2DFS (deduplication-based F2FS), which introduces three main design contributions. First, F2DFS integrates inline and offline hybrid deduplication. Inline deduplication eliminates redundant writes and enhances flash device endurance, while offline deduplication mitigates the negative I/O performance impact and saves more storage space. Second, F2DFS follows the file system coupling design principle, effectively leveraging the potentials and benefits of both deduplication and native F2FS. Also, with the aid of this principle, F2DFS achieves high-performance and space-efficient incremental deduplication. Third, F2DFS adopts virtual indexing to mitigate deduplication-induced many-to-one mapping updates during the segment cleaning. We conducted comprehensive experimental comparisons between F2DFS, native F2FS, and other state-of-the-art deduplication schemes, using both synthetic and real-world workloads. For inline deduplication, F2DFS outperforms SmartDedup, Dmdedup, and ZFS, in terms of both I/O bandwidth performance and deduplication rates. And for offline deduplication, compared to SmartDedup, XFS, and BtrFS, F2DFS shows higher execution efficiency, lower resource usage, and greater storage space savings. Moreover, F2DFS demonstrates more efficient segment cleanings than native F2FS.

The estimation of different body dimensions of children aged 6-11 years for the needs of furniture designers.

There are some rules that furniture designers must take into consideration to design ergonomic furniture. The main design principle is the target group for which the furniture will be designed, considering the dimensions of people who use the furniture. The paper presents the correlation between 12 parts of children's body, as well as the proportion between stature and 11 other parts of the body which are used for the purposes of furniture and interior designers. Field measurements include: Stature (S), Sitting height (She), Shoulder height (Sh), Popliteal height (Ph), Hip width (Hb), Elbow rest height (Erh), Buttock-popliteal length (Bpl), Buttock-knee length (Bkl), Thigh clearance (Tc), Eye height sitting (Eh), Knee height (Kh) and Shoulder breadth (Sb) to pupils aged 6-11 (grades 1 to 5). The measurements were done in 687 children in 12 primary schools in 4 different regions in Kosovo. The data of the study shows that, in general, there is a correlation (in some parts strong and in some medium) for the measured parts. Also, the study presents the proportion between the stature and other parts of the body which are necessary for the design of children's furniture. Using this data will enable furniture designers to easily target the dimensions of the group they will design, even by measuring only one dimension, i.e. stature and then setting the proportions for each piece separately.

Innovative methods to optimize the integration of passive solar design principles into buildings

Innovative methods to optimize the integration of passive solar design principles into buildings

Lithium Phosphorous Oxynitride as an Advanced Solid‐State Electrolyte to Boost High‐Energy Lithium Metal Battery

AbstractLithium phosphorous oxynitride (LiPON) as one of the most successful solid‐state electrolytes (SSEs), has attracted great interest both in academia and technology due to its exceptional interfacial compatibility, broad electrochemical stability window, and excellent thermal stability, which enables the realization of extremely stable electrolyte/electrode interphase toward high‐energy density solid‐state lithium‐metal batteries (SSLMBs). However, insufficiency in ionic diffusion, mechanical robustness, and interfacial stability hinder its commercialization process. Herein, the characteristics of amorphous structure LiPON, fundamental understanding on the bulk ionic diffusion and electrode/electrolyte interface are systematically discussed, and the improvement strategies to boost the electrochemical performance are highlighted. Then, innovative characterization and computational methods help to unravel the design principle of LiPON are summarized. Furthermore, the approaches to realize high‐efficient preparation of LiPON are analyzed, followed by the investigation of present application of LiPON in current batteries. Finally, remaining challenges associated with the fundamental understanding and rational prediction of structure and interface design, high efficient preparation, and potential opportunities for future application of LiPON are properly prospected.

Bio-Inspired Carbon Dots as Malondialdehyde Indicator for Real-Time Visualization of Lipid Peroxidation in Depression.

Brain lipidic peroxidation is closely associated with the pathophysiology of various psychiatric diseases including depression. Malondialdehyde (MDA), a reactive aldehyde produced in lipid region, serves as a crucial biomarker for lipid peroxidation. However, techniques enabling real-time detection of MDA are still lacking due to the inherent trade-off between recognition dynamics and robustness. Inspired by the structure of phospholipid bilayers, amphiphilic carbon dots named as CG-CDs targeted to cell membrane are designed for real-time monitoring of MDA fluctuations. The design principle relies on the synergy of dynamic hydrogen bonding recognition and cell membrane targetability. The latter facilitates the insertion of CG-CDs into lipid regions and provides a hydrophobic environment to stabilize the labile hydrogen bonding between CG-CDs and MDA. As a result, recognition robustness and dynamics are simultaneously achieved for CG-CDs/MDA, allowing for in situ visualization of MDA kinetics in cell membrane due to the instant response (<5 s), high sensitivity (9-fold fluorescence enhancement), intrinsic reversibility (fluorescence on/off), and superior selectivity. Subsequently, CG-CDs are explored to visualize nerve cell membrane impairment in depression models of living cells and zebrafish, unveiling the extensive heterogeneity of the lipid peroxidation process and indicating a positive correlation between MDA levels and depression.

Regulating Adsorption Behavior of Reactants on NiO/CuO/Co3O4 Surface by Electronic Effect to Promote Electrosynthesis

AbstractDeveloping efficient electrooxidation 5‐hydroxymethylfurfural (HMF) catalysts with high selectivity and fast reaction kinetic is challenging. The HMF oxidation reaction (HMFOR) involves the adsorption of HMF and OH− on the catalyst, thus understanding the adsorption behavior between the catalyst surface and reactants is vital. In this work, by studying the relationship between HMFOR performance and the adsorption behavior of reactants on different transition metal oxides (TMOs), it is discovered that the catalytic performance of TMOs is related to the adsorption capacity of OH− and HMF simultaneously. Subsequently, TMOs with different HMF and OH− adsorption abilities are coupled to further optimize the catalytic performance of HMFOR. Experimental and theoretical calculation results indicate that the electronic interactions between different TMOs can regulate the substrate adsorption behavior and electron transfer ability of the catalysts, which is beneficial for HMFOR. Among them, due to the strong interaction between the three components optimizes the adsorption capacity for HMF and OH−, NiO/CuO/Co3O4 exhibits the best HMFOR performance with FDCA selectivity of 99.6 % and formation rate of 16.45 mmol gcat−1 h−1. This work provides a design principle for HMFOR catalysts by modulating the adsorption behavior of reaction molecules.

A Machine Learning‐Enhanced Framework for the Accelerated Development of Spinel Oxide Electrocatalysts

AbstractThe surging demand for sustainable energy has spurred intensive research into electrochemical conversion devices such as fuel cells, water splitting, and metal‐air batteries. The performance of oxygen electrocatalysts significantly impacts overall electrochemical efficiency. Recently, spinel oxides (AB2O4) have emerged as promising candidates; however, the scarcity of prior studies underscores the need for a thorough and comprehensive exploration. This study presents a computational framework that integrates machine learning and density functional theory (DFT) calculations for the systematic screening of 1240 spinel oxides. The data scarcity is addressed while enhancing prediction accuracy. Selected candidates are identified to outperform the benchmarking perovskite oxide. Additionally, their potential as mixed ionic and electronic conductors with a 3D network of ion diffusion pathways is highlighted. To further enhance the understanding and prediction of stability, catalytic activity, and reaction mechanisms, a new undemanding descriptor is introduced: the covalency indicator. This study offers a design principle for the development of high‐performance spinel oxide oxygen electrocatalysts.

Integrative catalytic pairs for efficient multi-intermediate catalysis.

Single-atom catalysts (SACs) have attracted considerable research interest owing to their combined merits of homogeneous and heterogeneous catalysts. However, the uniform and isolated active sites of SACs fall short in catalysing complex chemical processes that simultaneously involve multiple intermediates. In this Review, we highlight an emerging class of catalysts with adjacent binary active centres, which is called integrative catalytic pairs (ICPs), showing not only atomic-scale site-to-site electronic interactions but also synergistic catalytic effects. Compared with SACs or their derivative dual-atom catalysts (DACs), multi-interactive intermediates on ICPs can overcome kinetic barriers, adjust reaction pathways and break the universal linear scaling relations as the smallest active units. Starting from this active-site design principle, each single active atom can be considered as a brick to further build integrative catalytic clusters (ICCs) with desirable configurations, towards trimer or even larger multi-atom units depending on the requirement of a given reaction.

A Self‐Assembled Hybrid Electrode with Efficient Tandem Electrochemistry for Dissolution‐Shielding, Ultrafast‐Charging, and Record‐Lifespan Zinc‐Ion Batteries

AbstractThe design of electrode compatible with wide‐temperature, fast‐charging, and long‐lifespan aqueous zinc‐ion batteries is a great challenge that urgently needs addressing. However, the mismatch between runaway host dissolution and high interfacial hydrophilicity within electrode is a contradictory problem that restricts their electrochemical performance. In this report, take the typical vanadium diselendie (VSe2) host for example, by employing the natural polymer bacterial cellulose (BC) as the multifunctional mediator, a design paradigm of self‐assembly hybrid electrode with efficient tandem electrochemistry is presented. Theoretical and experimental research confirmed that such BC‐mediated hybrid structure exhibits multiple functions to well balance the cathode dissolution and storage kinetics. Impressively, such an electrode displayed an excellent rate capability (1–50 A g−1), and an unexpected record‐lifespan of 45 000 cycles. Beyond that, it also shows a good temperature‐tolerance ability, remaining the high specific capacities of 120 and 288 mAh g−1 (at 10 A g−1) after 3000 cycles at −25 and 50 °C, respectively. Note that such approach is also applicable to the high‐voltage platform MnO2 and I2 hosts, demonstrating its potential for universality. This discovery can provide a new design principle of robust electrode for advanced aqueous zinc‐ion batteries.

Mild structure, low pressure: how might we increase young people’s social connection in the COVID-19-era

ABSTRACT This study aimed to understand how COVID-19 affected social connection, barriers to connection, and generated ideas for creating pro-connection activities and spaces. The approach was guided by design principles and included generative interviews and a group workshop with young people aged 16–24 years. COVID-19 allowed young people to recognize the importance of face-to-face and incidental social contacts and appreciate deeper connections to friends, family, and community. Young people identified barriers and enablers to forming quality social connection as confidence, the time and effort taken to build meaningful friendships, mental health, and cultural identity. Programmes that overtly tackle social connection were considered unappealing and usually reach only those who are already engaged. Instead, social connection is a by-product of other activities that take a ‘mild structure, low pressure’ approach and focus on strengths and interests. Activities and spaces must be free and easy to access and involve multiple engagements over time.

A short-lived peptide signal regulates cell-to-cell communication in Listeria monocytogenes

Quorum sensing (QS) is a mechanism that regulates group behavior in bacteria, and in Gram-positive bacteria, the communication molecules are often cyclic peptides, called autoinducing peptides (AIPs). We recently showed that pentameric thiolactone-containing AIPs from Listeria monocytogenes, and from other species, spontaneously undergo rapid rearrangement to homodetic cyclopeptides, which hampers our ability to study the activity of these short-lived compounds. Here, we developed chemically modified analogues that closely mimic the native AIPs while remaining structurally intact, by introducing N-methylation or thioester-to-thioether substitutions. The stabilized AIP analogues exhibit strong QS agonism in L. monocytogenes and allow structure–activity relationships to be studied. Our data provide evidence to suggest that the most potent AIP is in fact the very short-lived thiolactone-containing pentamer. Further, we find that the QS system in L. monocytogenes is more promiscuous with respect to the structural diversity allowed for agonistic AIPs than reported for the more extensively studied QS systems in Staphylococcus aureus and Staphylococcus epidermidis. The developed compounds will be important for uncovering the biology of L. monocytogenes, and the design principles should be broadly applicable to the study of AIPs in other species.

Framework for ergonomic design of control centres in underground coal mines - A Serbian experience

We present a framework for solving the problem of functional compatibility between process control equipment in control centres at underground mines and operator capabilities. The equipment incorporates displays of current ventilation, gas, and fire hazard data, status of alarm and early warning systems, a voice communication subsystem, and facilities for recording and printing of data and reports. The layout of the existing control panel is compared with a recommended design. The basic principles of ergonomic design and arrangement of the controls and indicators, as well as ease of use, type of operations carried out with these controls, and operators' viewing angles are discussed. The objective is to improve the usability of control panels, display boards, and graphic screens so as to enhance the functioning of control centres and optimize control of technological processes in coal mines.

Cation/anion-doping induced electronic structure modulation of CoMoO4 for enhanced hydrogen evolution

The design and fabrication of high-performance, inexpensive and durable electrocatalyst toward hydrogen evolution reaction (HER) is supremely significant for alleviating energy crisis and environmental concerns, but still remaining challenging. Herein, we develop an experimental work based on etching and reduction strategy to reveal the remarkable effect of cation/anion co-doping in CoMoO4 on its intrinsic HER activity. The CoMoO4 with Fe and B incorporation (Fe/B-CoMoO4) exhibits a current density of 10 mA cm−2 with strikingly low potential of 38 mV coupling with Tafel slope of 51 mV dec-1, and manifesting a robust durability for 100 h with no attenuation, which is comparable to the state-of-the-art commercial Pt/C catalyst. The collective experimental and theoretical findings concomitantly illustrate that the enhanced performances are due to the strong synergistic effect resulting from the co-doping of Fe and B, which plays a pivotal role in finely tuning the electronic structure of CoMoO4, further optimizing the adsorption free energy of H intermediates and shifting the center of the d-band of Fe/B-CoMoO4 away from the Fermi level. This fantastic work highlights the critical role of foreign element incorporating for optimizing electronic structure of transition metal oxides toward HER, and offers valuable guiding principles for rational design of more efficient energy conversion devices.

Solar performance-driven urban development: the case of western Sydney, Australia

ABSTRACT Urban densification, a response to population growth, poses adverse impacts on built environments. Limited access to sunlight is one of these consequences. Solar radiation and daylight affect urban canyons in different ways, including thermal comfort and illuminance levels. A balance between summer and solar heat gain can alleviate solar thermal considerations. This becomes even more important in an urban context like Western Sydney with an air temperature of around 6 to 10 degrees hotter than Inner Sydney (during extreme heat events). Additionally, Western Sydney is predicted to absorb two-thirds of the population growth of the Sydney region. Nevertheless, the urban development trend in this region doesn’t seem to meet the requirements of an environmentally sustainable scheme covering solar geometry-based design principles. Therefore, this study aims to develop a general urban model based on the spatial analysis of the western Sydney suburbs and propose a novel integrated methodology to provide the optimal solar-based urban design solution. This process uses an evolutionary algorithm as a computational tool to optimize solar radiation and daylight levels in extreme weather conditions. Results offer the optimum value for a wide range of design parameters regarding solar geometry.

Storifying instructional videos on online credibility evaluation: Examining engagement and learning

This study used video-based instruction to promote adolescents' online credibility evaluation skills and to examine whether storification of instructional videos can maintain students' situational interest and positive activating epistemic emotions during a four-lesson intervention better than non-storified instructional videos. The study also investigated whether storified instruction can enhance students' learning of online credibility evaluation skills better than non-storified instruction. The learning content of the videos was equivalent, differing only in terms of storification. Students participated in either a non-storified (n = 135) or storified (n = 115) video-based instruction (4 x 45-min lesson). In each of the first three lessons, students watched an instructional video explaining one credibility evaluation strategy. In the fourth lesson, the video introduced a case requiring students to apply the taught strategies. After watching the video, students' situational interest and positive activating epistemic emotions (i.e., curiosity and excitement) were measured. Then, students practiced the taught strategies with learning tasks. Students' credibility evaluation skills were measured before and after the intervention with an online credibility evaluation task. The latent growth curve model showed that non-storified and storified videos similarly maintained students' situational interest. No decline was observed. However, a small decline in positive activating epistemic emotions was observed in both instructional conditions. Students' credibility evaluation skills improved equally across instructions. The results underline that professionally produced videos following several multimedia design principles can trigger and maintain situational interest and enhance students’ online credibility evaluation skills without the need to incorporate additional storified elements.

Macrocyclic-based strategy in drug design: From lab to the clinic

Macrocyclic compounds have emerged as potent tools in the field of drug design, offering unique advantages for enhancing molecular recognition, improving pharmacokinetic properties, and expanding the chemical space accessible to medicinal chemists. This review delves into the evolutionary trajectory of macrocyclic-based strategies, tracing their journey from laboratory innovations to clinical applications. Beginning with an exploration of the defining structural features of macrocycles and their impact on drug-like characteristics, this discussion progresses to highlight key design principles that have facilitated the development of diverse macrocyclic drug candidates. Through a series of illustrative representative case studies from approved macrocyclic drugs and candidates spanning various therapeutic areas, particular emphasis is placed on their efficacy in targeting challenging protein-protein interactions, enzymes, and receptors. Additionally, this review thoroughly examines how macrocycles effectively address critical issues such as metabolic stability, oral bioavailability and selectivity. Valuable insights into optimization strategies employed during both approved and clinical phases underscore successful translation of promising leads into efficacious therapies while providing valuable perspectives on harnessing the full potential of macrocycles in drug discovery and development endeavors.

Recent progress in green thin film membrane based materials for desalination: Design, properties and applications

The urgent need for sustainable solutions to address freshwater scarcity has encouraged significant research interest in green thin film membrane-based materials (GTFM) for desalination applications. This review paper comprehensively examines recent progress in these innovative membranes' design, properties, and applications. Emphasizing environmental sustainability and efficiency, various fabrication techniques such as electrospinning, layer-by-layer assembly, and template synthesis are discussed for their role in tailoring membrane structures at the nanoscale. The review highlights the importance of incorporating eco-friendly materials, such as biopolymers, natural extracts, and nanocellulose, in membrane formulations to enhance biodegradability and reduce environmental impact. Furthermore, the paper investigates the crucial properties of green film membranes, including permeability, selectivity, mechanical strength, and fouling resistance. Additionally, the review explores recent advancements in functionalization strategies, such as surface modification and incorporation of nanomaterials, to enhance membrane properties and address specific desalination challenges. The applications of green thin film membranes across various desalination technologies, including reverse osmosis, nanofiltration, and forward osmosis, are thoroughly examined. Moreover, the review discusses emerging trends and future directions in green thin film membrane research, such as multifunctional membranes, hybrid systems, and integrated desalination processes. In summary, this review provides valuable insights into the design principles, fundamental properties, and diverse applications of GTFM-based materials for sustainable desalination, paving the way for the development of next-generation water purification technologies.

Sustainable design: Circular innovation design method under process reengineering

The theory of sustainable business process reengineering has been widely applied in various disciplines and has achieved outstanding results. The theory is used to the research of product innovation design method in this work, and the entire process of product innovation design method is reshaped, bringing new development and new direction for product innovation design. Redesign processes in line with societal trends and in a sustainable direction. Furthermore, it may effectively address the inadequacies of conventional design methodologies during the application process. Then, increase corporate efficiency in order to accomplish significant improvements in enterprise cost, quality, service, and speed. The study applies the systematic induction method, research analysis method, and other comprehensive research methods to analyze and study the existing design process and method, as well as excavate the shortcomings and limitations that exist in the process's application of the existing design method. Based on the BPR theory, the sustainable innovation design method for full chain products is divided into five design processes: scenario implantation, requirement extraction, functional determination, structural optimization, formal innovation, and material selection. In addition, the feasibility and accuracy of this method are verified through lifesaving equipment cases. Secondly, three principles for sustainable product innovation design were proposed. On the one hand, products made by designers and college students can truly meet customer needs, generate disruptive innovative designs, and improve the market competitiveness of industrial products. On the other hand, design is no longer a single stage, but a complete, systematic, and comprehensive set of design processes aimed at improving design efficiency and achieving sustainable product development.