Synthetic Design Research Articles

Conservation in agricultural landscapes: Impact of privately managed interventions on habitat condition and woody cover

Agricultural landscapes often overlap with areas of high biodiversity. Conservation efforts in these areas have the potential to play a pivotal role in mitigating biodiversity loss and supporting global conservation targets. This study investigates the effectiveness of private conservation interventions established in an agricultural landscape and biodiversity hotspot of Tasmania, Australia. Using a synthetic control design, we assessed two interventions: conservation covenants, which limit disturbances, and a stewardship program emphasizing active management. Our analysis, segmented by dominant vegetation group, examines both habitat condition and woody cover. Results indicate substantial variability both within and between programmes. The stewardship programme generally improved habitat conditions for native grasslands and grassy woodlands, although increased woody cover in native grasslands was a negative outcome. Conservation covenants had positive effects on grassy woodlands and modified agricultural land but were less effective in native grasslands. The study highlights challenges in private conservation, such as balancing landowner engagement with conservation goals and ensuring consistent monitoring. Long-term monitoring and adaptive management are crucial for sustainable ecological benefits, and integrating privately managed conservation efforts with public reserves has the potential to help achieving global biodiversity targets. Insights from this research can guide future conservation strategies, promoting effective management practices in working landscapes.

Ask Me

In this poster, we share ongoing research into the use of realistic AI-generated avatars for education in a large Australian business school. These highly realistic avatars have been used as educational presenters to provoke critical discussions on ethical AI by immersing students in text-to-video technology (Vallis et al., 2024). From this initial study, an emergent typology for avatars in educational media has been developed, to help educators design for teaching and learning based on learning purposes and modes of delivery Britton & Vallis, 2023; Vallis & Britton, 2024). Such practical, theoretical guidance in designing, developing, and deploying AI in education is much needed (Dawson et al., 2023). Drawing upon learnings to date, we further explore synthetic media designs for effective and ethical use in education. The poster presents three use cases of synthetic media with QR codes to demonstrate their application and to facilitate discussion at the conference. An additional fourth QR code will be added to gather participant feedback on which use case they found most compelling and educational, as well as their reasons for their preferences. The first use case explores short video presentations, where synthetic media offers students a choice of accents, voices, and faces to present educational content (Dao et al., 2021). This approach aims to free teacher time for more learner guidance and communication, potentially enhancing learning outcomes. Video-based learning can enhance student engagement and understanding by providing flexible, interactive, and visually stimulating experiences (Sabli? et al., 2021). The second use case is ‘Ask me’, a trial of a realistic avatar that answers frequently asked questions. Multimodal AI, like GPT-4o, with integrated voice, video, and audio capabilities, can simulate real-world scenarios for educational scenarios with engaging and realistic experiences (Mollick & Mollick, 2023). Future use cases may include specific learning activities such as role-play and rehearsal. Multimodal feedback on student progress is presented in the third use case. A lifelike digital representation of a teacher has been designed to closely mimic a real human teacher’s appearance and expressions. Simple video feedback, generated based on student interactions with university systems and combined with a teacher’s text, is sent via email to enhance engagement. This trial is designed to augment feedback, rather than replace interaction between students and teachers (Bozkurt & Sharma, 2023). By presenting these use cases, we aim to provide practical insights and stimulate discussions on the ethical and effective use of synthetic media in education. Our preliminary findings indicate benefits to using AI-generated avatars, if the ethical implications and the quality of human-AI interactions are carefully considered in the learning design (Vallis et al., 2024).

The design and engineering of synthetic genomes.

Synthetic genomics seeks to design and construct entire genomes to mechanistically dissect fundamental questions of genome function and to engineer organisms for diverse applications, including bioproduction of high-value chemicals and biologics, advanced cell therapies, and stress-tolerant crops. Recent progress has been fuelled by advancements in DNA synthesis, assembly, delivery and editing. Computational innovations, such as the use of artificial intelligence to provide prediction of function, also provide increasing capabilities to guide synthetic genome design and construction. However, translating synthetic genome-scale projects from idea to implementation remains highly complex. Here, we aim to streamline this implementation process by comprehensively reviewing the strategies for design, construction, delivery, debugging and tailoring of synthetic genomes as well as their potential applications.

Computational turf model validation with Clegg Impact Soil Tester experimental impacts on a wide range of synthetic turf constructions

The use of synthetic turf has been increasing in professional sports, where evaluation of novel turf designs for mechanical response, consistency, and athlete playability currently requires time-consuming and complex physical testing on physical turf, and more efficient drop-weight impact testing. A variety of drop tests are used to measure the impact response and surface stiffness of synthetic turf, including the Clegg Impact Soil Tester (CIST). Finite element computational models offer an opportunity to assess new turf designs prior to the construction of physical turfs but require validation for a range of turf constructions. In the present study, 14 different synthetic turf designs with varying infill and fibers were constructed and experimentally evaluated using the CIST device. Peak accelerations and acceleration-versus-time responses were measured. The turf constituent materials were mechanically characterized, FE models of all the turfs were created, and the CIST tests were simulated. The peak acceleration from the simulation followed the experimental trend for the wide range of turf designs, with an average difference of 9.7%. When considering conventional turf constructions, the average difference in peak acceleration was 8.8%, indicating the models provided a good prediction of turf impact response and can be used to assess new turf designs virtually, potentially reducing design times and physical test requirements.

Applications of Diels-Alder Chemistry in Biomaterials and Drug Delivery.

Recent studies, leveraging click chemistry reactions, have significantly advanced the fields of biomaterials and drug delivery. Of these click reactions, the Diels-Alder cycloaddition is exceptionally valuable for synthetic organic chemistry and biomaterial design, as it occurs under mild reaction conditions and can undergo a retrograde reaction, under physiologically relevant conditions, to yield the initial reactants. In this review, potential applications of the Diels-Alder reaction are explored within the nexus of biomaterials and drug delivery. This includes an emphasis on key platforms such as polymers, nanoparticles, and hydrogels which utilize Diels-Alder for drug delivery, functionalized surfaces, bioconjugation, and other diverse applications. Specifically, this review will focus on the use of Diels-Alder biomaterials in applications of tissue engineering and cancer therapies, while providing a discussion of the advantages, platforms, and applications of Diels-Alder click chemistry.

A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity.

Enhancers play a critical role in dynamically regulating spatial-temporal gene expression and establishing cell identity, underscoring the significance of designing them with specific properties for applications in biosynthetic engineering and gene therapy. Despite numerous high-throughput methods facilitating genome-wide enhancer identification, deciphering the sequence determinants of their activity remains challenging. Here, we present the DREAM (DNA cis-Regulatory Elements with controllable Activity design platforM) framework, a novel deep learning-based approach for synthetic enhancer design. Proficient in uncovering subtle and intricate patterns within extensive enhancer screening data, DREAM achieves cutting-edge sequence-based enhancer activity prediction and highlights critical sequence features implicating strong enhancer activity. Leveraging DREAM, we have engineered enhancers that surpass the potency of the strongest enhancer within the Drosophila genome by approximately 3.6-fold. Remarkably, these synthetic enhancers exhibited conserved functionality across species that have diverged more than billion years, indicating that DREAM was able to learn highly conserved enhancer regulatory grammar. Additionally, we designed silencers and cell line-specific enhancers using DREAM, demonstrating its versatility. Overall, our study not only introduces an interpretable approach for enhancer design but also lays out a general framework applicable to the design of other types of cis-regulatory elements.

Metal‐Organic Framework Materials as Bifunctional Electrocatalyst for Rechargeable Zn‐Air Batteries

AbstractRechargeable Zn‐air batteries offer the advantages of environmental friendliness, safety, low prices and high energy density, and are highly valued. However, the major challenge faced by rechargeable Zn‐air batteries nowadays is the low energy efficiency due to the slow reaction kinetics of electrocatalyst at the air cathode. Bifunctional catalysts are key to the development of Zn‐air batteries by improving their overall performance and long‐term cycling stability. Metal‐organic framework (MOF) materials have shown great benefits as oxygen electrocatalysts in promoting oxygen reduction reaction (ORR) and oxygen evolution reaction (OER). This paper reviews the recent advances of three kinds of MOF materials as bifunctional catalysts for rechargeable Zn‐air batteries. Additionally, this paper also discusses the synthetic design strategy of MOF composite derivatives, and concludes by suggesting the application of MOF materials in the field of rechargeable Zn‐air batteries.

The fiscal effects of immigration on local governments: Revisiting the Mariel Boatlift

Immigration raises important political and economic questions, yet there remains considerable disagreement about its short- and long-term consequences. This paper examines the fiscal consequences of immigration for local governments. Previous work has highlighted the gap between the long-term economic benefits of immigration and the short-term fiscal burden posed by recent arrivals, however several influential estimates based on cash-flow accounting suffer from potential bias. I use a quasi-experimental approach to re-examine a famous case: the large wave of Cuban refugees that landed in Miami in 1980, otherwise known as the Mariel Boatlift. Using a synthetic control design, I find that per-pupil education costs increased in Miami in the aftermath of the Boatlift, financed by an increase in state transfers. These effects persisted for at least ten years. The results shed light on the heterogeneous impacts of immigration over time and space.

Synthetic promoter design in Escherichia coli based on multinomial diffusion model

Synthetic promoter design in Escherichia coli based on multinomial diffusion model

Structural Insights into Potent Anti-ulcer Agents for the Eradication of Helicobacter pylori

: Helicobacter pylori is the primary bacterium in the development of gastric cancer; thus, its eradication for the prevention and management of peptic ulcers is of utmost importance. Most primary or unexplained peptic ulcers are brought on by Helicobacter pylori infection, which also causes chronic inflammation. The lack of therapeutic compliance, antibiotic resistance, and the breakdown of antibiotics at gastric pH all contribute to the current eradication rates. Therefore, a recent area of focus is the hunt for novel therapeutics with great selectivity against H. pylori. : This review focuses on elucidating the landscape of anti-H. pylori compounds derived from both synthetic drug design programs and natural sources. Emphasis is placed on understanding the structure-activity relationships of these compounds and their mechanisms of action. : Furthermore, the potential of drug repurposing strategies to combat H. pylori infection is explored. By providing a comprehensive overview of major classes of anti-H. pylori compounds, this study aims to guide the development of new medications for the treatment of Helicobacter pylori infection. Ultimately, this review highlights promising avenues for future research and therapeutic interventions in the management of H. pylori -associated gastric cancer.

Dynamic processes of fate decision in inducible bistable systems

The process of biological fate decision regulated by gene regulatory networks (GRNs) involves numerous complex dynamical interactions among many components. Mathematical modeling typically employed ordinary differential equations (ODEs) and steady-state analysis, which has yielded valuable quantitative insights. However, stable states predicted by theoretical models often fail to capture transient or metastable phenomena that occur during most observation periods in experimental or real biological systems. We attribute this discrepancy to the omission of dynamic processes of various complex interactions. Here, we demonstrate the influence of delays in gene regulatory steps and the time scales of the external induction on the dynamic processes of the fate decision in inducible bistable systems. We propose that steady-state parameters determine the landscape of fate decision. However, during the dynamic evolution along the landscape, the unequal delays of biochemical interactions as well as time scale of external induction cause deviations in the differentiation trajectories, leading to the formation of new transient distributions that persist long-term. Our findings emphasize the importance of considering dynamic processes in fate decision, instead of relying solely on steady-state analysis. We provide insights into the interpretation of experimental phenomena, and offer valuable guidance for future efforts in dynamical modeling and synthetic biology design.

Electrosynthesis of Anisotropic Biogenic Silver Nanoparticles as A Promising Antibacterial Agent Using Stachytarpheta Jamaicensis Leaf Extract

Antibiotic-resistant bacteria provide a great opportunity to use silver nanoparticles (AgNPs) as potential antibiotic replacements. This work utilized Stachytarpheta jamaicensis leaf extract (SJLE)-mediated electrosynthesis of biogenic AgNPs. By using two silver rods and SJLE as the electrolysis medium, biogenic AgNP is produced through electrosynthesis. The properties of the formed AgNPs and SJLE phytochemical composition were examined. The disc diffusion method was utilized to evaluate AgNPs' antibacterial efficacy against Escherichia coli and Staphylococcus aureus. The high amount of phenolics, flavonoids, and tannins in SLJE provides biomolecules rich in -OH and carbonyl groups, allowing SLJE to have antimicrobial effects as well as act as a capping agent and bioreductor during electrosynthesis. The presence of functional groups from various phytochemicals leads to the formation of anisotropic AgNP crystals with a size of 38.22 ± 13.06 nm and high purity (95.75 ± 0.43%). Antibacterial activity tests against E. coli and S. aureus show that anisotropic biogenic AgNPs outperformed spherical AgNPs, probably due to the angular AgNPs' ease of penetration into bacterial cell walls. The characteristics of the AgNPs developed induced outstanding antibacterial efficacy against E. coli and S. aureus. Thus, SLJE-based electrosynthesis provides a synergistic synthetic design of AgNPs as antibacterial agents with several potential long-term advantages, including high purity, fast synthesis, low cost, absence of hazardous ingredients, and simplicity in scaling up.

Dual sustainability of rGO/CuCoO2 nanocomposites with enhanced photocatalytic and antibacterial insights

New growth and photocatalytic activity of CuCoO2 and rGO/CuCoO2 nanocomposites were demonstrated for model organic pollutant (dye) and antibacterial studies. The rGO/CuCoO2 nanocomposites were designed by hydrothermal technique. CuCoO2 and rGO/CuCoO2 materials were investigated and characterized by several instrumental techniques like FT-IR spectroscopy (FT-IR), Raman spectroscopy, X-Ray diffractometer (XRD), DRS-UV Visible spectroscopy, HRTEM, FESEM analysis, Thermogravimetric analysis (TGA) and BET investigations. XRD confirmed the CuCoO2 cubic phase structure. It seems to have been evaluated for FT-IR and the Raman results were better than anything else that should be satisfied. Hence, Cu–O or Co-O (M−O−M) modes were confirmed peaks at 400 to 900 cm−1. We proposed CuCoO2 and rGO/CuCoO2 ((25/75), (50/50) & (75/25)) composite materials band gap energies at 2.8 eV to 2.0 eV. So, these results are also one of the benefits in the application area. A Sedum morganianum Burrito − Burro’s plant’s tail-like morphology was obtained in the pure CuCoO2 materials, and different weight percentages of rGO composites were also identified in FESEM-analysis as wood fungi, rods, and sheets-like structures. The rGO/CuCoO2 sheet-like morphology was confirmed by HRTEM measurements. The elemental composition of materials was investigated by EDX spectroscopy. We can prepare to suggest that the synthesis potential in the prepared matter is tbepensumed Bache formulation and much less explored, first-time declared phases and novelty of the synthetic designs, new morphologies, and bandgap energies. The synthesized rGO/CuCoO2 materials were achieved by 94 % Methylene blue (MB) dye degradation in photocatalytic applications, in which case composites were more efficient with environment-friendly when compared to CuCoO2 nanoparticles. The role of the rGO composite can be divided into three different principles such as absorbance, charge separator, and photosensitizer. This rGO material can reflect a big absorption capacity depending on the dye to rGO, with parallelly obeyed for π-π interactions. Hence, it’s favored for catalytic improvement. Secondly, rGO degradation was improved to the charge separation and may be foiling for the recombination of electron-hole pairs. Finally, transform their wide bandgap semiconductor into the catalyst to facilitate parameters. The rGO/CuCoO2 composite materials have performed well in reusability and radical abilities. The antimicrobial activity of the CuCoO2 nanoparticle was investigated on Gram-positive Staphylococcus aureus &Enterococcus faecalis and Gram-negative Escherichia coli &Pseudomonas aeruginosa bacterial strain. As promised rGO/CuCoO2 and CuCoO2 materials were examined for better degradation activities and antibacterial activities. Antibacterial efficacy studies play a major innovative role in the present work and have not been previously published. Hence, we have selected this kind of material.

Why Colloidal Syntheses of Bimetallic Nanoparticles Cannot be Generalized.

Introducing one general synthesis to form bimetallic nanoparticles (NPs) could accelerate the discovery of NPs for promising energy applications. Although colloidal syntheses can provide precise structural and morphological control of bimetallic NPs, the complex chemical nature of multicomponent syntheses challenges the realization of such synthetic simplicity. Common synthetic issues are frequently ascribed to the variation in metal ion precursor reactivities and complex chemical interactions between the different metal surfaces and capping agents employed. However, no systematic studies have shown how these factors compete to ultimately assign the factor limiting the mixing and formation of bimetallic NPs. Here, we provide a parametric investigation of how the intrinsic standard reduction potentials (E0red) of the metal ions and cocapping agents influence the formation of bimetallic AuCu, AuPd, and PdCu NPs. Using a combination of in situ X-ray total scattering along with transmission electron microscopy and nuclear magnetic resonance spectroscopy, we illustrate the multifunctional role of the cocapping agents through interactions with both the metal ion precursors and NP surfaces to stabilize metastable structures. Additionally, we demonstrate how system-specific side reactions and the local metal ion coordination environment can be used to selectively tune the formation kinetics, structure, and morphology of bimetallic NPs. Ultimately, these insights show that the chemical interactions rather than the intrinsic E0red are responsible for the formation of bimetallic NPs. Broadly, these insights should aid the synthetic design of tailored multimetallic NPs.

A simple and robust approach for adapting design storms to assess climate-induced changes in flash flood hazard

Hydrologists and civil engineers often use design storms to assess flash flood hazards in urban, rural, and mountainous catchments. These synthetic storms are not representations of real extreme rainfall events, but rather simplified versions parameterized to mimic extreme precipitation statistics often obtained from intensity–duration–frequency (IDF) curves. To construct design storms for the future climate, it is thus necessary first to recalculate IDF curves to represent rainfall under warmer conditions. We propose a framework for adjusting IDF curves and design storms to future climate conditions using the TENAX model, a novel statistical approach that can provide future short-duration precipitation return levels based on projected temperature changes. For most applications, information from climate models at the daily scale can be used to construct design storms at the sub-hourly scale without any downscaling or bias adjustment. Our approach is illustrated through a re-parameterization of the Chicago Design Storm (CDS) in the context of climate change. As a case study demonstration, we apply the TENAX model to data from the city of Zurich to calculate changes in the historical IDF curve for durations ranging from 10 min to 3 h. We then construct synthetic 100-year return period design storms based on the CDS for present and future climates and use the CAFlood model to produce flood inundation maps to assess changes in flood hazard. The codes for adapting design storms to climate change are simple to implement, easily applicable by practitioners, and made freely available.

Driven Self-Assembly of Patchy Particles Overcoming Equilibrium Limitations.

Bridging biological complexity and synthetic material design, we investigate dissipative self-assembly in patchy particle systems. Utilizing Monte Carlo and Molecular Dynamics simulations, we demonstrate how external driving forces mitigate equilibrium trade-offs between assembly time and structural stability, traditionally encountered in self-assembly processes. Our findings also extend to biological-mimicking environments, where we explore the dynamics of patchy particles under crowded conditions. This comprehensive analysis offers insights into advanced material design, opening avenues for innovations in nanotechnology applications.

Synthetic design of novel uracil and thiouracil derivatives

Synthetic design of novel uracil and thiouracil derivatives

Colloidal synthetic environmental design towards high-density twin boundaries and boosted thermoelectric performance in Cu5FeS4 icosahedrons

High-density twin boundaries can significantly influence materials’ functional and mechanical properties. In thermoelectrics, twin engineering is able to manipulate the carrier and phonon transport in semiconductors, leading to improved dimensionless figure of merit (zT). However, obtaining twin boundaries with tunable density and uniform distribution in thermoelectric semiconductors is rather challenging. Here, by precisely controlling the temperature of sulfur precursor, the particle size of synthesized Cu5FeS4 icosahedrons can be decreased to produce higher-density twin boundaries. Accordingly, the optimized average distance between two adjacent twin boundaries matches the mean free path of phonons but is much larger than that of carriers, thereby efficiently lowering the lattice thermal conductivity without affecting the carrier mobility significantly. In combination with the enhanced power factor caused by increased carrier concentration, a maximal zT of 0.95 is achieved at 773 K in a p-type Cu5FeS4 derivative material, which is one of the highest values among those in Earth-abundant, environmentally-friendly thermoelectric sulfides. This work uncovers the crucial role of high-density twin boundaries in decoupling the carrier and phonon transport for improved thermoelectric performance in Cu5FeS4-based materials.

A Route to Selective Arsenate Adsorption in Phosphate Solutions via Ternary Metal Biopolymer Composites

With the increased need for improved adsorbents for efficient water treatment, sodium alginate (NaAlg) and chitosan (Chi) represent promising platform biopolymers for the preparation of biocomposite adsorbents for the effective removal of waterborne oxyanion (arsenate (Asi) and orthophosphate (Pi)) contaminants. The TMCs were characterized by spectroscopy (infrared (IR), SEM with an energy dispersive X-ray (SEM-EDX)), point-of-zero-charge (PZC) measurements, and dye adsorption by employing p-nitrophenol at variable pH. Based on dye adsorption results, the adsorbent surface area (SA) was 271 m2/g for Al-TMC, 286 m2/g for Fe-TMC, and 311 m2/g for Cu-TMC. This indicates the role of adsorbent pore structure and swelling in water. Further, the role of either aluminum (Al), copper (Cu), or iron (Fe) for the preparation of TMCs for the selective Asi removal in the presence of Pi as a competitor anion was evaluated. While Al, Fe, and Cu coordinate to the biopolymer framework at C=O sites, only Fe coordinates to –NH2 sites. While Al coordinated via Al-O and interfacial hydroxy groups, Cu showed the formation of Cu2(OH)3NO3 in contrast to Fe, which observed FeOOH formation. Adsorption of Asi was highest for Al-TMC (80 mg/g), followed by Fe-TMC (77 mg/g) and Cu-TMC (31 mg/g). Adsorption of Pi was highest for Al-TMC (93 mg/g), followed by Fe-TMC (66 mg/g) and Cu-TMC (17 mg/g). While Al-TMC showed the highest adsorption capacity overall, only Fe-TMC (followed by Cu-TMC) showed strong arsenate selectivity over orthophosphate. The selectivity toward Asi in presence of Pi was determined and the binary separation factor (αt/c) and the selectivity coefficient (βt) were calculated, where Cu-TMC (αt/c = 6.1; βt = 4.4) and Fe-TMC (αt/c = 8.3; βt = 5.0) exceeded Al-TMC (αt/c = 1.5; βt = 1.2). This work contributes to the field of oxyanion-selective adsorbents via judicious selection of the metal salt precursor during the synthetic design of the ternary biocomposite systems, as demonstrated herein.

Different Reaction Mechanisms Triggered by the Meta Effect: Photoinduced Generation of Quinone Methides from Hydroxybiphenyl Derivatives.

A series of sterically congested quinone methides (QMs) exhibit photoinduced antiproliferative activity against some human cancer cell lines. To elucidate the structure-reactivity relationship and details of mechanisms of the photogeneration of sterically congested QMs, we chose phenylphenol derivatives 1-3 as QM precursors and investigated their photodehydration processes in aqueous solutions using ultrafast spectroscopy and theoretical computations. We found that meta derivatives 1 and 2 undergo water-mediated excited-state proton transfer (ESPT) from the phenol OH, followed by expulsion of the OH- to form QMs. By comparison, para derivative 3 proceeds via water-mediated ESPT from H2O to benzyl alcohol coupled with dehydration as the first step, delivering a cation intermediate, which further deprotonates to yield QM. Such results would help chemists understand more about the meta effects in photochemistry and about ESPT and would help synthetic chemists design sterically congested QM precursors with extraordinary reactivities and expand applications of QMs in biological and medical systems.