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Ceramic fiber sponge with low density，high specific surface area，high porosity，good thermal stability and good thermal insulation performance is expected to become one of the most promising commercial ceramic materials in the fields of heat insulation，flame retardant，water-oil absorption and energy conversion. This paper summarizes the direct assembly methods such as three-dimensional electrospinning，solution blowing spinning and centrifugal spinning，reviews the research progress in the production of ceramic fiber sponge by direct spinning method，analyses the problems of low production efficiency of ceramic fiber sponge，and proposes the future development directions of ceramic fiber sponge：（1）improve the production efficiency，reduce the production cost，and mass produce ceramic fibre sponge with controllable shape；（2）improve the high-temperature thermal insulation performance and promote the application of ceramic fibre sponge in the field of heat insulation；（3）improve the structural stability and produce ceramic fibre sponge with high elasticity，flexibility，and fatigue resistance；（4）research and develop ceramic fibre sponge materials with special functions such as light and electromagnetism，and expand the application range of ceramic fibre sponge.

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Abstract Introduction Whole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the majority of these studies used short-read platforms (e.g. Illumina) to generate sequence data. In this study, our objective was to determine whether Oxford Nanopore Technologies (ONT) long-read WGS would improve detection of carbapenem AMR genes with respect to short-read only WGS for nine clinical CRE samples. We measured the minimum inhibitory breakpoint (MIC) using two phenotype assays (MicroScan and ETEST) for six antibiotics, including two carbapenems (meropenem and ertapenem) and four non-carbapenems (gentamicin, ciprofloxacin, cefepime, and trimethoprim/sulfamethoxazole). We generated short-read data using the Illumina NextSeq and long-read data using the ONT MinION. Four assembly methods were compared: ONT-only assembly; ONT-only assembly plus short-read polish; ONT + short-read hybrid assembly plus short-read polish; short-read only assembly. Results Consistent with previous studies, our results suggest that the hybrid assembly produced the highest quality results as measured by gene completeness and contig circularization. However, ONT-only methods had minimal impact on the detection of AMR genes and plasmids compared to short-read methods, although, notably, differences in gene copy number differed between methods. All four assembly methods showed identical presence/absence of the blaKPC-2 carbapenemase gene for all samples. The two phenotype assays showed 100% concordant results for the non-carbapenems, but only 65% concordance for the two carbapenems. The presence/absence of AMR genes was 100% concordant with AMR phenotypes for all four non-carbapenem drugs, although only 22%—50% sensitivity for the carbapenems. Conclusions Overall, these findings suggest that the lack of complete correspondence between CRE AMR genotype and phenotype for carbapenems, while concerning, is independent of sequencing platform/assembly method.

Introduction: Whole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the majority of these studies used short-read platforms (e.g. Illumina) to generate sequence data. In this study, our objective was to determine whether Oxford Nanopore Technologies (ONT) long-read WGS would improve detection of carbapenem AMR genes with respect to short-read only WGS for nine clinical CRE samples. We measured the minimum inhibitory breakpoint (MIC) using two phenotype assays (MicroScan and ETEST) for six antibiotics, including two carbapenems (meropenem and ertapenem) and four non-carbapenems (gentamicin, ciprofloxacin, cefepime, and trimethoprim/sulfamethoxazole). We generated short-read data using the Illumina NextSeq and long-read data using the ONT MinION. Four assembly methods were compared: ONT-only assembly; ONT-only assembly plus short-read polish; ONT + short-read hybrid assembly plus short-read polish; short-read only assembly. Results: Consistent with previous studies, our results suggest that the hybrid assembly produced the highest quality results as measured by gene completeness and contig circularization. However, ONT-only methods had minimal impact on the detection of AMR genes and plasmids compared to short-read methods, although, notably, differences in gene copy number differed between methods. All four assembly methods showed identical presence/absence of the blaKPC-2 carbapenemase gene for all samples. The two phenotype assays showed 100% concordant results for the non-carbapenems, but only 65% concordance for the two carbapenems. The presence/absence of AMR genes was 100% concordant with AMR phenotypes for all four non-carbapenem drugs, although only 22%—50% sensitivity for the carbapenems. Conclusions: Overall, these findings suggest that the lack of complete correspondence between CRE AMR genotype and phenotype for carbapenems, while concerning, is independent of sequencing platform/assembly method. [ABSTRACT FROM AUTHOR]

Microbial fuel cell (MFC) is a sustainable technology resulting from the synergism between biotechnology and electrochemistry, exploiting diverse fundamental aspects for the development of numerous applications, including wastewater treatment and energy production. Nevertheless, these devices currently present several limitations and operational restrictions associated with their performance, efficiency, durability, cost, and competitiveness against other technologies. Accordingly, the synthesis of nD nanomaterials (n = 0, 1, 2, and 3) of particular interest in MFCs, methods of assembling a biofilm-based electrode material, in situ and ex situ physicochemical characterizations, electrochemistry of materials, and phenomena controlling electron transfer mechanisms are critically revisited in order to identify the steps that determine the rate of electron transfer, while exploiting novel materials that enhance the interaction that arises between microorganisms and electrodes. This is expected to pave the way for the consolidation of this technology on a large scale to access untapped markets.

Cultivated meat (CM) technology has the potential to disrupt the food industry—indeed, it is already an inevitable reality. This new technology is an alternative to solve the environmental, health and ethical issues associated with the demand for meat products. The global market longs for biotechnological improvements for the CM production chain. CM, also known as cultured, cell-based, lab-grown, in vitro or clean meat, is obtained through cellular agriculture, which is based on applying tissue engineering principles. In practice, it is first necessary to choose the best cell source and type, and then to furnish the necessary nutrients, growth factors and signalling molecules via cultivation media. This procedure occurs in a controlled environment that provides the surfaces necessary for anchor-dependent cells and offers microcarriers and scaffolds that favour the three-dimensional (3D) organisation of multiple cell types. In this review, we discuss relevant information to CM production, including the cultivation process, cell sources, medium requirements, the main obstacles to CM production (consumer acceptance, scalability, safety and reproducibility), the technological aspects of 3D models (biomaterials, microcarriers and scaffolds) and assembly methods (cell layering, spinning and 3D bioprinting). We also provide an outlook on the global CM market. Our review brings a broad overview of the CM field, providing an update for everyone interested in the topic, which is especially important because CM is a multidisciplinary technology. [ABSTRACT FROM AUTHOR]

Microbial fuel cell (MFC) is a sustainable technology resulting from the synergism between biotechnology and electrochemistry, exploiting diverse fundamental aspects for the development of numerous applications, including wastewater treatment and energy production. Nevertheless, these devices currently present several limitations and operational restrictions associated with their performance, efficiency, durability, cost, and competitiveness against other technologies. Accordingly, the synthesis of nD nanomaterials (n = 0, 1, 2, and 3) of particular interest in MFCs, methods of assembling a biofilm-based electrode material, in situ and ex situ physicochemical characterizations, electrochemistry of materials, and phenomena controlling electron transfer mechanisms are critically revisited in order to identify the steps that determine the rate of electron transfer, while exploiting novel materials that enhance the interaction that arises between microorganisms and electrodes. This is expected to pave the way for the consolidation of this technology on a large scale to access untapped markets. [ABSTRACT FROM AUTHOR]

Controlled nanocrystal assembly is a pre‐requisite for incorporation of these materials into solid state devices. Many assembly methods have been investigated which target precise nanocrystal positioning, high process controllability, scalability, and universality. However, most methods are unable to achieve all of these goals. Here, surface templated electrophoretic deposition (STED) is presented as a potential assembly method for a wide variety of nanocrystals. Controlled positioning and deposition of a wide range of nanocrystals into arbitrary spatial arrangements − including gold nanocrystals of different shapes and sizes, magnetic nanocrystals, fluorescent organic nanoparticles, and semiconductor quantum dots − is demonstrated. Nanoparticles with diameters <10 nm are unable to be deposited due to their low surface charge and strong Brownian motion (low Péclet number). It is shown that this limit can be circumvented by forming clusters of nanocrystals or by silica coating nanocrystals to increase their effective size. [ABSTRACT FROM AUTHOR]

MXene is recognized as a promising catalyst for versatile applications due to its abundant metal sites, physicochemical properties, and structural formation. This comprehensive review offers an in-depth analysis of the incorporation of carbon into MXene, resulting in the formation of MXene–carbon-based composites (MCCs). Pristine MXene exhibits numerous outstanding characteristics, such as its atomically thin 2D structure, hydrophilic surface nature, metallic electrical conductivity, and substantial specific surface area. The introduction of carbon guides the assembly of MCCs through electrostatic self-assembly, pairing positively charged carbon with negatively charged MXene. These interactions result in increased interlayer spacing, reduced ion/electron transport distances, and enhanced surface hydrophilicity. Subsequent sections delve into the synthesis methods for MCCs, focusing on MXene integrated with various carbon structures, including 0D, 1D, 2D, and 3D carbon. Comprehensive discussions explore the distinctive properties of MCCs and the unique advantages they offer in each application domain, emphasizing the contributions and advancements they bring to specific fields. Furthermore, this comprehensive review addresses the challenges encountered by MCCs across different applications. Through these analyses, the review promotes a deeper understanding of exceptional characteristics and potential applications of MCCs. Insights derived from this review can serve as guidance for future research and development efforts, promoting the widespread utilization of MCCs across a broad spectrum of disciplines and spurring future innovations. [Display omitted] • Comprehensive coverage: Spans 0–3D integration for holistic MDCC understanding. • Transformative potential: Focuses on MDCC impact in key domains. • Interdisciplinarity: Connects catalysis, energy storage, environmental applications. • Practicality and innovation: Blends real-world applications with innovation. • Future prospects: Offers insights into MDCCs' forward-looking roles. [ABSTRACT FROM AUTHOR]

Whole genome sequencing has become a powerful tool in modern microbiology. Especially bacterial genomes are sequenced in high numbers. Whole genome sequencing is not only used in research projects, but also in surveillance projects and outbreak investigations. Many whole genome analysis workflows begins with the production of a genome assembly. To accomplish this, a number of different sequencing technologies and assembly methods are available. Here, a summarization is provided over the most frequently used sequence technology and genome assembly approaches reported for the bacterial RefSeq genomes and for the bacterial genomes submitted as belonging to a surveillance project. The data is presented both in total and broken up on a per year basis. Information associated with over 400,000 publically available genomes dated April 2020 and prior were used. The information summarized include (i) the most frequently used sequencing technologies, (ii) the most common combinations of sequencing technologies, (iii) the most reported sequencing depth, and (iv) the most frequently used assembly software solutions. In all, this mini review provides an overview of the currently most common workflows for producing bacterial whole genome sequence assemblies.

The need for improved performance, operational efficiency as well as cost and environmental sustainability necessitate the selection of appropriate materials and assembly methods during railcar manufacturing and maintenance. The selection of the most appropriate materials and assembly methods amidst different materials is a Multi-Criteria Decision (MCD) which requires a scientific decision support framework. In this study, a model based on the Analytical Hierarchy Process (AHP) was used for the selection of the most suitable material and method of assembly for the development and maintenance of the body shell of a railcar. The performance of stainless steel, aluminum and carbon steel as well as welding methods such as Laser Arc Welding (LAW), Friction Stir Welding (FSW) and Metal Inert Gas (MIG) and the Resistance Spot Welding (RSW) currently used in railcar development were examined. The strength to weight ratio, crash worthiness, mechanical properties, degree of formability as well as cost effectiveness, end of life, and functional requirements were the key decision variables that form the criteria, which were broken down into a number of sub-criteria. The criteria and sub-criteria were pairwise compared to determine their priorities to the design and service requirements (goal). The AHP gave a detailed analysis of the materials as well as the methods of assembly that meet the service requirements of the railcar in a hierarchical order. Hence, this work provides the application of decision support framework for meeting the increasing design and service requirements in the railcar manufacturing industries.

Increased industrial use of composite materials for manufacturing strong lightweight components stimulates endeavours for more efficient assembly methods. This study attempted to find an optimal method to provide optical aid for the placement of pre-impregnated reinforcing fabric (prepregs). A novel approach to optical assistance for the placement of prepregs was designed to be straightforward and affordable. The developed system meets industry standards for accuracy, and provides the solution at a cost many times less than existing solutions. The findings allow companies in the composite material industry to eliminate prepreg layup errors at an affordable price.

Whole genome sequencing has become a powerful tool in modern microbiology. Especially bacterial genomes are sequenced in high numbers. Whole genome sequencing is not only used in research projects, but also in surveillance projects and outbreak investigations. Many whole genome analysis workflows begins with the production of a genome assembly. To accomplish this, a number of different sequencing technologies and assembly methods are available. Here, a summarization is provided over the most frequently used sequence technology and genome assembly approaches reported for the bacterial RefSeq genomes and for the bacterial genomes submitted as belonging to a surveillance project. The data is presented both in total and broken up on a per year basis. Information associated with over 400,000 publically available genomes dated April 2020 and prior were used. The information summarized include (i) the most frequently used sequencing technologies, (ii) the most common combinations of sequencing technologies, (iii) the most reported sequencing depth, and (iv) the most frequently used assembly software solutions. In all, this mini review provides an overview of the currently most common workflows for producing bacterial whole genome sequence assemblies. [ABSTRACT FROM AUTHOR]

The need for improved performance, operational efficiency as well as cost and environmental sustainability necessitate the selection of appropriate materials and assembly methods during railcar manufacturing and maintenance. The selection of the most appropriate materials and assembly methods amidst different materials is a Multi-Criteria Decision (MCD) which requires a scientific decision support framework. In this study, a model based on the Analytical Hierarchy Process (AHP) was used for the selection of the most suitable material and method of assembly for the development and maintenance of the body shell of a railcar. The performance of stainless steel, aluminum and carbon steel as well as welding methods such as Laser Arc Welding (LAW), Friction Stir Welding (FSW) and Metal Inert Gas (MIG) and the Resistance Spot Welding (RSW) currently used in railcar development were examined. The strength to weight ratio, crash worthiness, mechanical properties, degree of formability as well as cost effectiveness, end of life, and functional requirements were the key decision variables that form the criteria, which were broken down into a number of sub-criteria. The criteria and sub-criteria were pairwise compared to determine their priorities to the design and service requirements (goal). The AHP gave a detailed analysis of the materials as well as the methods of assembly that meet the service requirements of the railcar in a hierarchical order. Hence, this work provides the application of decision support framework for meeting the increasing design and service requirements in the railcar manufacturing industries. [ABSTRACT FROM AUTHOR]

MXene, a new two-dimensional nanomaterial, has attracted much attention due to its hydrophilicity, excellent electrical conductivity, stability, electrochemical property, etc. We have given a brief introduction to the preparation of MXene nanosheets, as well as the 1D and 2D MXene-based materials with their applications. However, the spontaneous aggregation and re-stacking of nanosheets in 1D and 2D MXene due to hydrogen bonding and van der Waals forces are not beneficial to the industrialization applications, and therefore, the construction of 3D porous structures is an effective way to solve this issue. However, the small transverse dimensions and weak mechanical properties of MXene itself do not allow for the spontaneous formation of strong, stable, and self-supportable 3D porous structure. Therefore, combining MXene with other materials, such as carbon-based materials, metal oxides, spinel, polymers, metal-based nanoparticles, have been considered as the most effective method for the preparation of 3D MXene-based porous structure. Thus, in this review, we have illustrated the current construction techniques of 3D porous Ti 3 C 2 T x MXene including template method, self-assembly method and 3D printing method, etc. The wide applications of 3D MXene in supercapacitors, electromagnetic shielding, seawater desalination, piezoresistive sensors and catalysis via microstructures structures regulation, are also summarized in this work. Finally, the prospects regarding the 3D MXene-based composites with strong mechanical property, pore structures regulation, cost-effective synthesis route and the new applications fields are proposed. This work will help to develop a more exquisite design of 3D MXene-based materials for their future commercial applications. • The definitions, advantages and characterizations of 3D MXene are introduced in this study. • The techniques for constructing 3D MXene and the fabrication mechanism are developed. • Different applications of 3D MXene are studied based on their microstructures and functionalities. • The prospects regarding the 3D MXene with higher performance and new fields are proposed. [ABSTRACT FROM AUTHOR]

Background The use of snap-fit fasteners in automotive assembly has increased in the last 10 years. Their impact on musculoskeletal function of the upper limbs in assembly workers is not well described. Aims To investigate the association between snap-fit assembly and upper limb functional limitations (ULFLs) in workers after a large-scale expansion of snap-fit assembly by a German automotive company. Methods Cross-sectional data on blue-collar production workers' exposure to snap-fit assembly and ULFLs were collected from medical check-ups and company registers. The association between duration of snap-fit assembly and ULFLs, and the dose-response relationship between the two were analysed using logistic regression, adjusted for body mass index, gender and employment duration before snap-fit exposure. Results The study group included 10 722 workers. Within the company, 8.4, 6.9 and 10.3% were exposed to snap-fit 1-12, 13-24 and ≥25 months, respectively. After adjusting for confounders, snap-fit exposure for 1-12 months [odds ratio (OR) = 1.59, 95% confidence interval (CI) 0.88-2.88] and 13-24 months (OR = 1.48, 95% CI 0.76-2.88) was not statistically significantly associated with ULFLs compared with an unexposed group. However, exposure to ≥25 months of snap-fit assembly was statistically significant associated with ULFLs showing >2-fold risk (OR = 2.44, 95% CI 1.52-3.92). No clear dose-response relationship was found. Conclusions Our study suggests a negative long-term impact from snap-fit assembly on workers' upper limb function. Company physicians should be vigilant for signs of upper limb musculoskeletal disorders among workers exposed to snap-fit assembly. [ABSTRACT FROM AUTHOR]

The development of new natural phenolic-enable nanotechnologies with multifunctional purposes is related to the exceptional physicochemical properties conferred by the phenolic moieties. Phenolic phytocompounds can oxidize and self-polymerize to assemble on surfaces and form diverse coatings. They interact either in non-covalent or covalent form with several inorganic, organic and bioactive materials and lead to electrostatic and metal coordination, hydrogen bonds and π interactions. Other properties such as pH responsiveness, redox potentials, radical scavenging and light absorbance are also relevant and have made them a distinct class of structural motifs for the development of coatings. These interesting interactions confer them antioxidative and antimicrobial properties, as well as adhesiveness, ultraviolet absorption and nucleophilic reactivity suitable for diverse surface requests. Different assembly methods and main applications of the coatings, appropriate for diverse medical applications are reviewed here. These new platforms are presented as an alternative to the excessive use of antibiotics, and thus preventing the development of drug-resistant strains, and to provide low cost, environmentally friendly, and easy to apply multifunctional coatings of medical interest. [Display omitted] • Phenolic phytocompounds (PP) have special properties related to their moieties. • PP multifunctional coatings were developed using single and multiple steps methods. • PP coatings applications in medicine (antioxidant, antimicrobial, etc.) are reviewed. • Challenges that need to be solved and perspectives are comprehensively analyzed. [ABSTRACT FROM AUTHOR]

Abstract: Despite the rapidly increasing number of sequenced and re-sequenced genomes, many issues regarding the computational assembly of large-scale sequencing data have remain unresolved. Computational assembly is crucial in large genome projects as well for the evolving high-throughput technologies and plays an important role in processing the information generated by these methods. Here, we provide a comprehensive overview of the current publicly available sequence assembly programs. We describe the basic principles of computational assembly along with the main concerns, such as repetitive sequences in genomic DNA, highly expressed genes and alternative transcripts in EST sequences. We summarize existing comparisons of different assemblers and provide a detailed descriptions and directions for download of assembly programs at: http://genome.ku.dk/resources/assembly/methods.html. [Copyright &y& Elsevier]

MXenes have received increasing attention due to their two-dimensional layered structure, high conductivity, hydrophilicity, and large specific surface area. Because of these distinctive advantages, MXenes are considered as very competitive pressure-sensitive materials in applications of flexible piezoresistive sensors. This work reviews the preparation methods, basic properties, and assembly methods of MXenes and their recent developments in piezoresistive sensor applications. The recent developments of MXene-based flexible piezoresistive sensors can be categorized into one-dimensional fibrous, two-dimensional planar, and three-dimensional sensors according to their various structures. The trends of multifunctional integration of MXene-based pressure sensors are also summarized. Finally, we end this review by describing the opportunities and challenges for MXene-based pressure sensors and the great prospects of MXenes in the field of pressure sensor applications.

• Our manuscript offer a comparison of different ML techniques to estimate the duration of a surgery using a large data set of surgery records (200.000 records during 14 years.), allowing not only comparing the techniques but also exploring the possible variables and factors influencing the surgery durations. • While machine-learning methods can use the clinical records of an OR service, like manual programing, it is less susceptible to staff-personal biases, as it is the case of manual programing. Manual programming of OR services is still very common worldwide, and it usually overestimates the duration of the surgeries avoiding optimal OR scheduling. • The methods presented in this study allow a convenient way to estimate the duration of individual surgeries directly form the records of the service. Those durations later can be used to schedule surgeries using Operation Research mythologies aiming at finding (sub-) optimal solutions. Usually those methodologies use statistics (average, mean, etc.) to estimate a "characteristic" duration of group of surgery, hampering their outcomes. Operating Rooms (ORs) are among the most expensive services in hospitals. A challenge to optimize the OR efficiency is to improve the surgery scheduling task, which requires the estimation of surgical time duration. Surgeons or programming units (based on people's experience) typically do the duration estimation using an experience-based strategy, which may include some bias, such as overestimating the surgery time, increasing ORs' operational cost. This paper analyzes a machine learning-based solution for surgical time predictions. We apply and compare four machine-learning algorithms (Linear Regression, Support Vector Machines, Regression Trees, and Bagged Trees) to predict the surgical time duration at a tertiary referral university hospital in Bogotá, Colombia. Historical data from 2004 until 2019 was used to train the algorithms. Comparison among algorithms was given in terms of the Root Mean Square Error (RMSE) of the predicted surgery duration and the algorithms' computing time. The algorithm with the best performance was compared to the currently used experience-based method. All the ML algorithms predict the surgery duration with an error between 26 and 37 min. The best overall performance was obtained using Bagged Trees (26 min RMSE, 3.16 min training time, 0.49 min testing time) when using a subset of the DB with the nine specialties containing 80% of the surgeries. Bagged Trees also outperformed the experience-based method with a lower RMSE; however, it also shifted from a predominant overestimation to underestimating surgeries' duration. Different ML algorithms for predicting the surgical time duration, showing and comparing their performance. Bagged Trees showed the best performance in terms of RMSE and computing time. Depending on the initial data, Bagged Trees outperformed the experience-based method, but future work is necessary to suit it, like any other ML algorithm, to the hospitals' needs. [ABSTRACT FROM AUTHOR]

Background The accurate sequencing and assembly of very large, often polyploid, genomes remains a challenging task, limiting long-range sequence information and phased sequence variation for applications such as plant breeding. The 15-Gb hexaploid bread wheat (Triticum aestivum) genome has been particularly challenging to sequence, and several different approaches have recently generated long-range assemblies. Mapping and understanding the types of assembly errors are important for optimising future sequencing and assembly approaches and for comparative genomics. Results Here we use a Fosill 38-kb jumping library to assess medium and longer–range order of different publicly available wheat genome assemblies. Modifications to the Fosill protocol generated longer Illumina sequences and enabled comprehensive genome coverage. Analyses of two independent Bacterial Artificial Chromosome (BAC)-based chromosome-scale assemblies, two independent Illumina whole genome shotgun assemblies, and a hybrid Single Molecule Real Time (SMRT-PacBio) and short read (Illumina) assembly were carried out. We revealed a surprising scale and variety of discrepancies using Fosill mate-pair mapping and validated several of each class. In addition, Fosill mate-pairs were used to scaffold a whole genome Illumina assembly, leading to a 3-fold increase in N50 values. Conclusions Our analyses, using an independent means to validate different wheat genome assemblies, show that whole genome shotgun assemblies based solely on Illumina sequences are significantly more accurate by all measures compared to BAC-based chromosome-scale assemblies and hybrid SMRT-Illumina approaches. Although current whole genome assemblies are reasonably accurate and useful, additional improvements will be needed to generate complete assemblies of wheat genomes using open-source, computationally efficient, and cost-effective methods. [ABSTRACT FROM AUTHOR]

The ability to rapidly design, build, and test prototypes is of key importance to every engineering discipline. DNA assembly often serves as a rate limiting step of the prototyping cycle for synthetic biology. Recently developed DNA assembly methods such as isothermal assembly and type IIS restriction enzyme systems take different approaches to accelerate DNA construction. We introduce a hybrid method, Golden Gate-Gibson (3G), that takes advantage of modular part libraries introduced by type IIS restriction enzyme systems and isothermal assembly's ability to build large DNA constructs in single pot reactions. Our method is highly efficient and rapid, facilitating construction of entire multigene circuits in a single day. Additionally, 3G allows generation of variant libraries enabling efficient screening of different possible circuit constructions. We characterize the efficiency and accuracy of 3G assembly for various construct sizes, and demonstrate 3G by characterizing variants of an inducible cell-lysis circuit.