We present a versatile method to generate asymmetric profiles and use it to create Gaussian-like, Cauchy-like, and Pseudo-Voigt-like profiles in terms of elementary functions. Furthermore, this method guarantees that the position and magnitude of the global maximum are independent of the asymmetry parameter, which substantially facilitates the convergence of an optimizer when fitting the peaks to real data. This investigation shows that the method developed here exhibits favorable practical properties and is particularly well suited for various applications where asymmetric peak profiles are observed. For example, in X-ray diffraction (XRD) measurements, the use of asymmetric profiles is essential for obtaining accurate outcomes. This is because diffractometers can introduce asymmetry into the diffraction peaks due to factors such as axial divergence in the beam path. By taking this asymmetry into account during the modeling process, the resulting data obtained can be corrected for instrumental effects. The results of the study show that the evaluation of XRD using nearly defect-free LaB6 allows a precise characterization of the peak broadening caused by the diffractometer itself. Additional size-strain effects of ZnO are determined by considering the asymmetric peak profile of the diffractometer.

Community biology labs are locally organized spaces for research, tinkering and innovation, which are important for improving the accessibility of biological research and the transferability of scientific knowledge. These labs promote citizen science by providing resources and education to community members. For community labs to deliver consistent and reliable results, they would ideally be based on an adaptive and robust foundation: an Enterprise Systems Thinking (EST) framework. This paper follows a descriptive methodology to apply EST to conceptualize the optimal functioning of community biology labs. EST approaches can increase the overall understanding of the community lab system’s context and performance. This supportive tool can aid in successful stakeholder engagement and communications within the lab’s complex structure. It is also adaptive and can be adjusted as Community Bio labs expand in scale and are newly introduced to local communities. The result of this paper is the development of a framework that may help enhance existing community laboratory organizational approaches so that they may provide consistent accessibility, innovation and education to local communities.

Biodesign, an innovative multidisciplinary approach to design, addresses anthropocentric challenges by minimizing ecological footprints in product and system creation. It incorporates living organisms such as bacteria, fungi, plants and algae into products and manufacturing processes. This approach harnesses the organisms’ potential, including their metabolic activities, growth, stimuli responses, reproductive capabilities, and relationships with other life forms, to create living-like design outcomes. Indigenous communities have a historical connection to living systems in agriculture, wine making and traditional crafts, offering valuable insights.

This paper presents a real-life case study of the Kotpad craft community in Odisha, India, highlighting their challenges. As indigenous communities like the Mirigan craftsmen face pressure to integrate into the mainstream economy, there is a risk of losing their connection with nature, traditional knowledge, and unique identity. The paper envisions the possibility of Biodesign applications in indigenous craft practices and explores hypothetical approaches to problem-solving by application of Synthetic Biology to indigenous crafts preservation. It critically analyzes the advantages, disadvantages, ethical considerations and socio-economic-cultural implications for the community.

The design field encompasses aspects of culture and thought and, ultimately, can integrate other disciplines like biology and engineering. One of the potentials of biodesign is the replacement of current materials with more sustainable ones. Bacterial cellulose (BC) is a biopolymer that is produced by microorganisms such as Komagataeibacter spp. and has been recently explored for applications in fashion, architecture and material science receiving global media attention. In this impact paper, it is assessed the challenges of producing BC through an analysis of its production and chemistry. Through a critical analysis of applied case studies, it is argued that there is yet work to be done to allow the widespread use of BC. In conclusion, the increased understanding of the acetic acid bacteria genetic landscape and biochemistry will potentiate the education, research, development, manufacture and market implementation of more feasible and sustainable cellulose-based products.

The rediscovered potential of ‘growing’ instead of ‘making’ drives the emergence of new materialities. This is leading to innovative developments in biotechnologies and Biodesign, both of which are intricately connected and seen as transformative elements in the discourse on sustainability. Biofabricated materials are starting to be evaluated using established sustainability metrics such as life cycle assessment, highlighting their essential role in the circular economy and shedding light on some overlooked process-dependent environmental burdens. At the same time, some biodesigned materials and artefacts are characterised by their ability to transcend the conventional concept of sustainability, embracing the principles of Regenerative Design thanks to the restorative and regenerative potential of living and bioreceptive materials. The study explores the main Biodesign variables, presenting a taxonomy created to comprehensively understand the phenomenon. The resulting findings highlighted the dual nature of Biodesign, which promotes both inner and outer sustainability. These findings gave rise to a conceptual framework defined as ‘Healing Materialities’, developed by the authors to highlight the main Biodesign variables discussed while addressing a broad spectrum of ecological potentials, from conventional to regenerative sustainability. The article discusses the concept of ‘Healing Materialities’, emphasising the role of Biodesign in supporting a profound ecological turn and advocating the adoption of regenerative materials and processes capable of harmonising the long-term needs of both human and non-human entities.

We study the problem of fitting a piecewise affine (PWA) function to input–output data. Our algorithm divides the input domain into finitely many regions whose shapes are specified by a user-provided template and such that the input–output data in each region are fit by an affine function within a user-provided error tolerance. We first prove that this problem is NP-hard. Then, we present a top-down algorithmic approach for solving the problem. The algorithm considers subsets of the data points in a systematic manner, trying to fit an affine function for each subset using linear regression. If regression fails on a subset, the algorithm extracts a minimal set of points from the subset (an unsatisfiable core) that is responsible for the failure. The identified core is then used to split the current subset into smaller ones. By combining this top-down scheme with a set-covering algorithm, we derive an overall approach that provides optimal PWA models for a given error tolerance, where optimality refers to minimizing the number of pieces of the PWA model. We demonstrate our approach on three numerical examples that include PWA approximations of a widely used nonlinear insulin–glucose regulation model and a double inverted pendulum with soft contacts.

In the present study, we have discovered and identified a new crystalline form of pinaverium bromide, pinaverium bromide dihydrate (C26H41BrNO4⋅Br⋅2H2O), whose single crystals can be obtained by recrystallization from a mixture of water and acetonitrile at room temperature. The obtained crystals were characterized by X-ray single-crystal diffraction, and their crystal structure was also solved based on X-ray single-crystal diffraction data. The results show that the final pinaverium bromide dihydrate model contains an asymmetric unit of one pinaverium bromide (C26H41Br2NO4) molecule and two water molecules that combine with the bromine ion through O–H⋯O and O–H⋯Br hydrogen bonds. Then, the adjacent pinaverium bromide dihydrates are linked by O–H⋯O, O–H⋯Br, and C–H⋯O hydrogen bonds. On the other hand, the experimentally obtained X-ray powder diffraction pattern is in good agreement with the simulated diffraction pattern from their single-crystal data, confirming the correctness of the crystal structure. Hirshfeld surface analysis was employed to understand and visualize the packing patterns, indicating that the H⋯H interaction is the main acting force in the crystal stacking of pinaverium bromide dihydrate.

The robots of tomorrow should be endowed with the ability to adapt to drastic and unpredicted changes in their environment and interactions with humans. Such adaptations, however, cannot be boundless: the robot must stay trustworthy. So, the adaptations should not be just a recovery into a degraded functionality. Instead, they must be true adaptations: the robot must change its behaviour while maintaining or even increasing its expected performance and staying at least as safe and robust as before. The RoboSAPIENS project will focus on autonomous robotic software adaptations and will lay the foundations for ensuring that they are carried out in an intrinsically trustworthy, safe and efficient manner, thereby reconciling open-ended self-adaptation with safety by design. RoboSAPIENS will transform these foundations into ‘first time right’-design tools and platforms and will validate and demonstrate them.

Biodesign is emerging as a radical design approach with great potential for the ecological turn, finally endorsed by some first academic courses providing designers with hybrid skills to embrace scientific disciplines. However, the resulting professional figure, the biodesigner, still needs to be better defined in the academic and grey literature, also considering the different and multiple facets that working between design and science may entail. This study presents four case studies of research through design (RTD), addressed by the author as an autoethnographic form of inquiry to clarify the roles a biodesigner could assume, emphasising the differences in methods, tools and workplaces, which inevitably affect the Biodesign outcomes. The author analyses her role as a biodesigner and designer in lab, working in teams and environments requiring different degrees of interdisciplinarity. Far from adopting a speculative approach, the RTDs focus on sustainable Material Design and Biodesign solutions that might be feasible in the short run, aiming to test the designer’s abilities in enriching scientific research and investigating the role and contribution designers can play in scientific contexts of different intensities. The study demonstrates the possibility of a reciprocal knowledge transfer between design and science, highlighting the potential of the designerly way of knowing in bringing innovation to the scientific field.

The crystal structure of cariprazine dihydrochloride has been solved and refined using synchrotron X-ray powder diffraction data and optimized using density functional theory techniques. Cariprazine dihydrochloride crystallizes in space group P21/n (#14) with a = 27.26430(14), b = 7.29241(1), c = 12.80879(4) Å, β = 99.5963(2)°, V = 2511.038(8) Å3, and Z = 4 at 295 K. The crystal structure consists of layers of cations parallel to the bc-plane. The cations stack along the b-axis. Each H atom on the two protonated N atoms participates in a discrete N–H⋯Cl hydrogen bond. One Cl anion acts as an acceptor in two of these bonds, while the other Cl is an acceptor in only one bond. The result is to link the cations and anions into columns parallel to the b-axis. The powder pattern has been submitted to the ICDD for inclusion in the Powder Diffraction File™ (PDF®).

Combining tradition and innovation, timber plays essential roles in building structures for architecture and engineering. Tree branching geometries and timber in its natural state often serve as sources of inspiration. However, the mechanical properties of naturally grown timber, inherently inconsistent and geometrically varied, remain insufficiently studied, particularly for construction and simulations. This knowledge gap perpetuates the prevalent use of straight, uniformly harvested timber while neglecting curved and bifurcated elements with smaller cross-sections.

This research investigates the potential of naturally grown timber in structural design, emphasizing the importance of understanding the natural characteristics and growth patterns of trees to optimize timber use. The developed methodology leverages noninvasive technologies, such as computerized tomography (CT), to precisely capture the geometrical and material properties of wood. These data sources are then integrated to visualize cross-sectional geometries and material properties, forming the basis for our analytical approach. Utilizing generalized scaled boundary isogeometric analysis, the methodology enhances the accuracy and efficiency of simulations, aligning structural design with natural growth principles. This approach not only fosters sustainable resource practices by promoting the use of major tree parts but also transforms discarded materials into valuable resources. The paper concludes with a demonstration of this methodology applied in a practical construction scenario.

We present a simple analytical formalism based on the Lorentz-Scherrer equation and Bernoulli statistics for estimating the fraction of crystallites (and the associated uncertainty parameters) contributing to all finite Bragg peaks of a typical powder pattern obtained from a static polycrystalline sample. We test and validate this formalism using numerical simulations, and show that they can be applied to experiments using monochromatic or polychromatic (pink-beam) radiation. Our results show that enhancing the sampling efficiency of a given powder diffraction experiment for such samples requires optimizing the sum of the multiplicities of reflections included in the pattern along with the wavelength used in acquiring the pattern. Utilizing these equations in planning powder diffraction experiments for sampling efficiency is also discussed.

BioForms integrates sacrificial formworks, agent-based computational algorithms and biological growth in the generation of biodegradable internal wall panel systems. These wall panel systems are intended to minimize material waste, utilize local botany and generate a symbiosis between the artificially made and the naturally grown. This is achieved by utilizing local waste as a structural compressive core, mycelium as the binder, and recycled pellets as the architectural skin. Leveraging mycelium’s structural, acoustic and thermal properties, this exploration delves into unique methods of incorporating fungi and waste into architectural construction. The motivations for this research stem from the need to address the building industry’s contribution to climate change, by considering the lifecycle of our materials. BioForms aims to retrofit existing buildings by replacing foam insulation and MDF (medium-density fiberboard) wall panels with biodegradable and recyclable 3D-printed skins embedded with a mycelium core. Analysing mycelium’s reaction to BioForms I, the second iteration, BioForms II, evolves in design complexity and materiality. BioForms II explored robotically fabricated wood-based polylactic acid plastic (PLA) composite materials. Within the second iteration of this research stream, mycelia was both embedded within the compressed fabricated skins and on the external surface. Whilst BioForms explored the generation of biodegradable wall panel systems, the broader aims of this research is aimed at infiltrating biological matter into human-occupied spaces, completely omitting the use of synthetic building materials within the construction industry and advancing the architects relationship to nature in the generation of form.

Responsive materials can transform their visual appearance in reaction to environmental stimuli. One example of such responsiveness involves the use of plant-based anthocyanins as pH-mediated allochroic pigments. Despite the increasing interest and applications of this pigment, its applications in urban contexts are very limited. By using pH-mediated colour change as a phenomenon to trial a colourimetric quantitative framework, this study seeks to bridge smart material design with colour science approaches to enable future scale-up applications. The colour values of anthocyanins immobilised in sodium alginate-based hydrogel discs and yarns were measured in response to varying pH values. The colourimetric measurements in CIELAB colour space provided a device for setting independent colour values that demonstrated a clear pattern across the pH range of 1–12. The colour difference (ΔE00) of mean colour values was perceivably different across the pH scale, with a minimum value of 2.7. Key variables of the process have been summarised, and their relationships have been discussed. Finally, a proof-of-concept small-scale textile prototype encompassing anthocyanin-laden hydrogel yarns was developed. The findings of this study contribute towards the integration of non-destructive means of colour measurement as a quantitative tool for biochemical process evaluation.

Equations are given which allow an analyst to obtain a correct absolute quantitative phase analysis via the internal standard method when a reference material with a known crystallinity of less than 100% is used. Comparisons are made with previous equations, and a numerical example is given.

The crystal structure of benserazide hydrochloride Form I has been solved and refined using synchrotron X-ray powder diffraction data and optimized using density functional theory techniques. Benserazide hydrochloride Form I crystallizes in space group P21/n (#14) with a = 19.22983(15), b = 14.45066(10), c = 4.57982(2) Å, β = 93.6935(3), V = 1270.014(15) Å3, and Z = 4 at 295 K. The crystal structure contains pairs of hydrogen-bonded benserazide cations, which are hydrogen bonded to chloride anions, resulting in chains along the c-axis. In addition, O–H⋯Cl, N–H⋯O, O–H⋯N, and O–H⋯O hydrogen bonds link the cations and anions into a three-dimensional framework. The powder pattern has been submitted to ICDD® for inclusion in the Powder Diffraction File™ (PDF®).