Design Alternatives Research Articles

VEIDEA: A Comprehensive Framework for Implementing Building Information Modeling-Based Value Engineering Within a Common Data Environment in Construction Projects

The Architecture, Engineering, and Construction (AEC) industry faces significant global challenges, including frequent project delays, budget overruns, and inadequate stakeholder collaboration. To address these issues, Value Engineering (VE) and Building Information Modeling (BIM) have been increasingly used in large-scale, complex construction projects. Although many studies highlight the benefits of integrating VE with BIM, its full practical potential has not yet been realized. This study aims to investigate the integration of VE and BIM within a Common Data Environment (CDE) to improve decision making and project outcomes. A comprehensive framework was developed, consisting of four interconnected modules: (1) Creating the CDE, (2) Developing the BIM Model, (3) Implementing Value Engineering, and (4) Conducting a Value Engineering Study. Central to this framework is the introduction of the VEIDEA” data bank, a structured system based on the OmniClass classification, which stores and organizes VE ideas. Additionally, the framework incorporates the Analytical Hierarchy Process (AHP) to automate the evaluation phase, assisting designers and VE teams in making data-driven decisions on design alternatives. Empirical results from a case study of an office building show significant cost savings, with a 20% reduction in reinforced concrete (RC) slab costs and a 39% reduction in flooring material costs. These findings demonstrate the potential for integrating VE and BIM to enhance cost-effectiveness and overall project performance. This study offers a novel approach to optimizing project collaboration, decision making, and efficiency in the AEC industry.

Analysis of Alternative Splicing Events and Identification of Key Genes in Brassica napus Leaves Infected by Leptosphaeria biglobosa

Alternative splicing (AS) is a prevalent post-transcriptional regulatory mechanism in eukaryotes and plays a crucial role in plant disease resistance. Here, we used the Illumina Novaseq sequencing platform to conduct transcriptome sequencing on canola (Brassica napus) leaves infected with the blackleg pathogen (Leptosphaeria biglobosa strain nm−1) at 0 h, 72 h, 120 h, and 168 h post-inoculation to investigate the mechanism of AS coordination with transcriptional regulation in canola’s response to blackleg disease. The rMATS software (4.1.0) was employed to analyze different AS events in samples taken at 72 h, 120 h, and 168 h. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to elucidate the biological functions of differentially spliced genes at various time points, while Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify key modules and hub genes. As a result, our analysis reveals 16908 AS events across three time points, with 221 being differently spliced. Intron retention (RI) was the most common AS event, accounting for approximately 55% of all events, while alternative 5′ splice site events were least common, comprising only 2%. Furthermore, a total of 213 significantly differentially spliced genes were identified, which were enriched in functions related to protein kinase activity, transferase activity, and pathways such as MAPK signaling pathway—plant and plant hormone signal transduction. WGCNA identified three key modules and ten hub genes, including calcium-binding transcription activator 1, LRR class receptor serine/threonine protein kinase FEI 2, PLATZ transcription factor family proteins, serine/threonine protein kinase PRP4, and E3 ubiquitin ligase SUD1, all of which are associated with canola resistance to L. biglobosa. Thus, this study provides a theoretical basis for identifying disease-resistance genes involved in AS and for exploring the functions of AS gene isoforms in canola.

A shape grammar-based design for modular buildings based on the Vitruvian triad: The case of Mächtig Kiosk K67

The kiosk K67 is a known example of mass-produced modular architecture designed in the 60s. Although these modules allow many design solutions, the designer Saša Mächtig did not guide the generation of such designs so that the final composition of elements could fit a specific design purpose. This study has two aims. The first is the development of a shape grammar for the kiosk K67, which enables a deep analysis and synthesis of this paradigmatic design. The study’s second aim is to combine the kiosk K67 shape grammar with design principles to guide the generation of design solutions. To do so, the Vitruvian triad dimensions – firmitas, utilitas and venustas – are combined with the developed kiosk K67 shape grammar to generate design solutions based on specific design briefs. The study identifies how each dimension of the triad can impact architecture and then correlates these impacts with the kiosk K67 shape rules. Finally, shape grammar and design alternatives are presented. Each Vitruvian dimension is taken with different priorities in the design alternatives to test the concept. Such an approach enables us not just to analyse the design of Mächtig but also to use the developed shape grammar in a pedagogical way to explore how balancing design principles and constraints impact design outcomes.

Advances in Two-Electron Water Oxidation Reaction for Hydrogen Peroxide Production: Catalyst Design and Interface Engineering.

Hydrogen peroxide (H2O2) is a versatile and zero-emission material that is widely used in the industrial, domestic, and healthcare sectors. It is clear that it plays a critical role in advancing environmental sustainability, acting as a green energy source, and protecting human health. Conventional production techniques focused on anthraquinone oxidation, however, electrocatalytic synthesis has arisen as a means of utilizing renewable energy sources in conjunction with available resources like oxygen and water. These strides represent a substantial change toward more environmentally and energy-friendly H2O2 manufacturing techniques that are in line with current environmental and energy goals. This work reviews recent advances in two-electron water oxidation reaction (2e-WOR) electrocatalysts, including design principles and reaction mechanisms, examines catalyst design alternatives and experimental characterization techniques, proposes standardized assessment criteria, investigates the impact of the interfacial milieu on the reaction, and discusses the value of in situ characterization and molecular dynamics simulations as a supplement to traditional experimental techniques and theoretical simulations, as shown in Figure 1. The review also emphasizes the importance of device design, interface, and surface engineering in improving the production of H2O2. Through adjustments to the chemical microenvironment, catalysts can demonstrate improved performance, opening the door for commercial applications that are scalable through tandem cell development.

Financial and market risks of bitcoin adoption as legal tender: evidence from El Salvador

Bitcoin adoption as a legal tender threatens a financial crisis because of the lack of regulatory frameworks and systems for exchanging Bitcoin into local currencies. This study analyzes monthly data from 2010 to 2022 using a structural vector autoregressive model, estimating Bitcoin’s pass-through into remittance, money multiplier, the US Dollar index, and gold price. The results show that Bitcoin prices decrease the money multiplier and gold prices in both the short and long run, while remittances moderately increase in the long run. The implication of these results suggests the potential for international business opportunities to stimulate the credit, savings, and investment monetary policy channel. The results are robust to alternative SVAR identification strategies.

Identification of Alternations in the Structure of Historical Masonry Walls Using the GPR Method Accompanied with Architectural Survey in the Former Piast Gymnasium in Brzeg

Widely used in civil engineering, GPR (ground penetrating radar) is increasingly being used to survey historic structures. However, there are still no conclusive directives on the use of GPR in the identification and diagnosis of masonry structures. The current state of the art allows only on the example of individual case studies, to draw conclusions about the effectiveness of the use of this tool. One such area, where the effective use of GPR has been experimentally confirmed, is the historic architectural survey of a heritage buildings. Due to diversity in the dielectric properties of individual construction materials, it is possible to observe on radargrams the change of electromagnetic wave patterns by materials from different phases. Traditional approach require extensive excavation efforts or core drilling, which may not always be acceptable for conservation reasons. Hence the GPR method could be interesting, non – destructive option for identification and diagnosis of historical masonry walls. The authors used the architectural survey and accompanying excavations at the former Piast Gymnasium in Brzeg to conduct a survey campaign using the GPR method. The brick walls of the building's nave have been scanned. The nave have undergone numerous alterations over hundreds of years. The GPR data has been subjected to adequate post-processing and then correlated with architectural surveys and validated on the basis of available excavations at the site. The authors highlight that GPR surveys, when combined with architectural investigations, offer a less invasive approach to examining historic structures, thereby mitigating the need for problematic excavation work.

Life cycle assessment and generative design: development of a national LCA tool for exterior walls

PurposeThe promotion of sustainable design is demanded globally. The life cycle assessment (LCA) proved its reliability in this mission, but the difficulty and time required to apply it discouraged designers. This research aims to integrate LCA into the building design process through a software tool, taking advantage of generative design features. This will facilitate decision-making by architects and construction professionals.Design/methodology/approachThe study develops the EGY-LCA (http://egy-lca.com/). This prototype tool suggests exterior wall design alternatives for residential buildings in Egypt, using the environmental impact indicators of LCA data and other criteria related to national codes, materials, construction methods and required thermal resistance. Within a generative design process, the algorithm tests every possible wall method with materials and thickness combinations for each layer in compliance with inputs. The paper begins by explaining the tool’s working method. Afterward, different sets of inputs are examined and the values of the resultant environmental impacts of several suggested wall solutions are statistically analyzed. The application demonstrates the importance of the generative design tool. Proposing several solutions based on a set of inputs facilitates the selection of sustainable choices and allows comparisons between alternatives.FindingsThe prototype experiment confirms the research hypothesis. Unlike the available LCA tools, architects can make decisions with limited LCA experience if the data and equations are integrated into a generative design tool. The prototype proves its applicability for exterior wall alternatives.Research limitations/implicationsThe prototype is the initial step toward a whole-building LCA tool. It includes limited LCA stages and materials for the external wall. Future research is required to expand this parametric tool concept to include all the building components. The framework in Section 5 proposes a visualization.Practical implicationsThe prototype tool: EGY-LCA (http://egy-lca.com/). The value added to the design and construction sectors through the uncomplicated LCA application is fostering sustainable design, generative design tools can achieve this.Originality/valueThe novelty of this work is that it is the first initiative offering a parametric LCA tool. It promotes the application of LCA at the design stage using generative design, which contributes to sustainable development.

Considering Safe and Sustainable by Design alternatives – Environmental Hazards of an agriculture Nano-enabled pesticide to non-target species

Nanopesticides (Npes) offer improved efficacy compared to their conventional forms while reducing the usage/application rates, hence being more sustainable options. However, there is still a knowledge gap on the Npes environmental impacts. To support the safety of nano-enabled pesticides, the present study aimed at assessing the toxicity of the commercial Npe NUCOP-M and the active substance copper oxychloride, using the ecotoxicological soil model Enchytraeus crypticus and LUFA 2.2 soil. Bioassays were performed to assess various endpoints within short- to longer-term exposures: avoidance behaviour (2 d), hatching (13 d), survival, reproduction and organisms' size (based on the standard OECD test (28 d), the OECD extension (56 d), and the Full Life Cycle test - FLCt (46 d)). Based on the standard OECD test and its extension, NUCOP-M had a similar level of toxicity as copper oxychloride without indications of increase in toxicity over time (28 versus 56 d). The shorter-term exposures (2 and 13 d) showed higher toxicity for copper oxychloride. The exposure from cocoon stage (FLCt) seemed to provide an adaptative advantage (reduced toxicity) to NUCOP-M. The differences might be related to a slower release of Cu2+ ions from NUCOP-M, which seems to account for the toxicity at longer-term. Based on the recommended application doses (ca. 1.72 mg NUCOP-M kg-1, i.e. 0.62 mg Cu kg-1 in the topsoil) there is no unacceptable risk of NUCOP-M on the enchytraeid population.

In silico models for the screening of human transthyretin disruptors

The use of New Approach Methodologies (NAMs), such as Quantitative Structure-Activity Relationship (QSAR) models, is highly recommended by international regulations to speed up hazard and risk assessment of Endocrine Disruptors, which are known to be linked to a wide spectrum of severe diseases on humans and wildlife. A very sensitive target for these chemicals is the thyroid hormone system, which plays a key role in regulating metabolic and cognitive functions. Several chemicals have been demonstrated to compete with the thyroid hormone thyroxine (T4) for binding to human thyroid hormone distributor protein transthyretin (hTTR). In this work, we generated three new datasets composed by T4-hTTR competing potencies of more than 200 heterogeneous chemicals measured by three different in vitro assays. These datasets were used for the development of new regression QSAR models. The best models were thoroughly validated by internal and external validation procedures. The mechanistic interpretation of the selected molecular descriptors provided information on structural features which are relevant to characterise hTTR binders, such as the presence of hydroxylated and halogenated aromatic rings. PCA analysis was used to rank the studied chemicals according to their increasing T4-hTTR competing potency. Hydroxylated and halogenated bicyclic aromatic compounds are ranked as the strongest hTTR binders. The new QSARs are useful to screen potential Thyroid Hormone System-Disrupting Chemicals (THSDCs), and to support the identification of sustainable alternatives to hazardous chemicals.

International monetary fund conditionality and structural reforms: Evidence from developing countries

AbstractThe global economy, dominated by the consequences of a disastrous health crisis and international tensions, needs policy support to regain its growth dynamic. To regain an inclusive and sustainable growth dynamic, structural policies of governments are needed to allow a reallocation of resources and to stimulate productivity. International cooperation seems to be necessary and the IMF's contribution could play an important role in promoting reforms. Indeed, in IMF‐supported programmes, the conditions for developing countries' transition to liberalization and open markets are often common. We address the question of whether periods of International Monetary Fund (IMF) conditionality contribute to the promotion of structural reforms in developing countries. Through the entropy balancing method and alternative identification strategies, we show that IMF conditionality programmes promote structural reforms in developing countries. We show that the effect of IMF conditionality can vary depending on the type of conditionality, the type of reform, the time frame and the initial level of structural reforms and can depend on some structural factors including the business cycle, the quality of fiscal and monetary policy, the level of development and the quality of institutions. Furthermore, we show that IMF conditionality can have spillover effects on trading partners and that IMF conditionality programmes that are met tend to have a greater impact on structural reforms. Finally, the effects of adopting reforms under IMF conditionality depend on domestic partisan politics.

Evaluate user satisfaction for urban design of railway station areas: An assessment framework using agent-based simulation

AimsRailway station areas can play a crucial role in promoting sustainable development if integrated with cities and be fluctuation-responsive through effective urban design. However, during the design stage, assessing the station areas' performance, of which user satisfaction is indicative, is challenging due to methodological limitations. Agent-based simulation (ABS) is promising as it can link spatial features with agents' behavior features. This research questions to what extent ABS can help assess the urban design of station areas. MethodsThis paper adopts the user pyramid as the theoretical framework, which outlines five types of user needs: safety, speed, ease, comfort, and experience. The paper selects indicators linking satisfaction and spatial features at the district and building levels. These indicators are measured in the simulation of the station system using digital tools, including MassMotion and Python scripts. The theory, indicators, and tools, in combination, serve as an assessment framework. Rotterdam Central Station is used as a case to demonstrate how the framework works. ResultsThe framework is capable of assessing design alternatives by identifying changes in user satisfaction. It can be applied on the district level (at a scale of 250 m) with substantial details to inform design decision-making, and it is useful during the design stage when only limited data is available. This paper strengthens the scientific knowledge of railway station areas through the multidisciplinary literature review that translates user needs for urban design use, and it advances the digital means to visualize user satisfaction affected by design.

MRI economics: Balancing sample size and scan duration in brain wide association studies.

A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan time given fixed resources. Here, we systematically investigate this trade-off in the context of brain-wide association studies (BWAS) using functional magnetic resonance imaging (fMRI). We find that total scan duration (sample size × scan time per participant) robustly explains individual-level phenotypic prediction accuracy via a logarithmic model, suggesting that sample size and scan time are broadly interchangeable up to 20-30 min of data. However, the returns of scan time diminish relative to sample size, which we explain with principled theoretical derivations. When accounting for fixed overhead costs associated with each participant (e.g., recruitment, non-imaging measures), prediction accuracy in many small-scale and some large-scale BWAS might benefit from longer scan time than typically assumed. These results generalize across phenotypic domains, scanners, acquisition protocols, racial groups, mental disorders, age groups, as well as resting-state and task-state functional connectivity. Overall, our study emphasizes the importance of scan time, which is ignored in standard power calculations. Standard power calculations maximize sample size, at the expense of scan time, which can result in sub-optimal prediction accuracies and inefficient use of resources. Our empirically informed reference is available for future study design: WEB_APPLICATION_LINK.

Citizen Scientists Discover “Asteroid in a Cometary Orbit” 2010 MK43 has a Comet Tail

We present the discovery of a short, diffuse tail on minor planet 2010 MK43 (alternate designation 2010 RA78)—an object previously identified as an asteroid in a cometary orbit—by volunteers of our Citizen Science program Active Asteroids. Our follow-up investigation revealed eight Dark Energy Camera images showing 2010 MK43 with a tail spanning UT 2024 February 12–UT 2024 February 18 when the object was outbound from perihelion. We now classify 2010 MK43 as a Jupiter-family comet based on its Tisserand parameter with respect to Jupiter T J = 2.888, though our dynamical simulations reveal that, due to frequent close encounters with Jupiter, 2010 MK43 was likely a quasi-Hilda within the last 10 kyr.

Development of a Generative Design System for 3D-Printed Houses in Chile

Three dimensional-printing construction is an emerging technology with significant potential for faster building execution and more precise, controllable designs. This technology utilizes material deposition managed by computer data, enabling additive construction of shapes. This research aims to develop a generative design system for 3D-printed houses in Chile, addressing the country’s growing demand for housing across diverse geographical locations and social groups, also present in other parts of the world. The development process involves synthesizing the external form features of existing Chilean houses and analyzing prototypes of 3D-printed houses worldwide to establish a set of geometric characteristics suitable for 3D-printed homes in Chile. A procedure is then outlined to create design alternatives using parametric programming on a BIM platform, followed by toolpath development for printing the building components. Various models are generated to demonstrate housing shapes’ versatility and adaptability to Chilean contexts and 3D-printed construction methods. Finally, a detailed design is created and printed to construct a housing prototype, testing the entire digital workflow. This experience highlights the variety of 3D-printed housing shapes that can be developed while assessing their feasibility for the Chilean context. This research complements the flexible design capabilities of 3D printing construction, resulting in buildings better suited to various locations and occupancy needs.

Access to Allogeneic Cell Transplantation Based on Donor Search Prognosis: An Interventional Trial.

Patients requiring allogeneic hematopoietic cell transplantation have variable likelihoods of identifying an 8/8 HLA-matched unrelated donor. A Search Prognosis calculator can estimate the likelihood. To determine if using a search algorithm based on donor search prognosis can result in similar incidence of transplant between patients Very Likely (>90%) vs Very Unlikely (<10%) to have a matched unrelated donor. This interventional trial utilized a Search Prognosis-based biologic assignment algorithm to guide donor selection. Trial enrollment from June 13, 2019-May 13, 2022; analysis of data as of September 7, 2023 with median follow-up post-evaluability of 14.5 months. National multi-center Blood and Marrow Transplantation Clinical Trials Network 1702 study of US participating transplant centers. Acute myeloid and lymphoid leukemias, myelodysplastic syndrome, Hodgkin's and non-Hodgkin's lymphomas, severe aplastic anemia, and sickle cell disease patients referred to participating transplant centers were invited to participate. 2225 patients were enrolled and 1751 were declared evaluable for this study. Patients were declared evaluable once it was determined no suitable HLA-matched related donor was available. Patients assigned to the Very Likely arm were to proceed with matched unrelated donor, while Very Unlikely were to utilize alternative donors. A third stratum, Less Likely (∼25%) to find a matched unrelated donor, were observed under standard center practices, but were not part of the primary objective. Cumulative incidence of transplantation by Search Prognosis arm. Evaluable patients included 1751 of which 413 (24%) were from racial/ethnic minorities. Search prognosis was 958 (55%) Very Likely, 517 (30%) Less Likely and 276 (16%) Very Unlikely. 1171 (67%) received HCT, 384 (22%) died without HCT, and 196 (11%) remained alive without HCT. Among the 1,234 patients, the adjusted cumulative incidence (95% CI) of HCT at 6-months was 59.8% (56.7-62.8) in the Very Likely group versus 52.3% (46.1-58.5) in the Very Unlikely (P=0.113). A prospective Search Prognosis-based algorithm can be effectively implemented in a national multicenter clinical trial. This approach resulted in rapid alternative donor identification and comparable rates of HCT in patients Very Likely and Very Unlikely to find a matched unrelated donor. Trial Registration: NCT#03904134.

Improving Identification of Patients Experiencing Homelessness in the Electronic Health Record: A Curated Registry Approach.

Identification of persons experiencing homelessness (PEH) within healthcare systems is critical to facilitate patient and population-level interventions to address health inequities. We created an enhanced electronic health record (EHR) registry to improve identification of PEH within a safety net healthcare system. We compared patients identified as experiencing homelessness in 2021, stratified by method of identification (i.e., through registration data sources versus through new EHR registry criteria). Sociodemographic and clinical characteristics, healthcare utilization, engagement with homeless service providers, and mortality. In total, 10,896 patients met the registry definition of a PEH; 30% more than identified through standard registration processes; 78% were identified through only one data source. Compared with those identified only through registration data, PEH identified through new registry criteria were more likely to be female (42% vs. 25%, p < 0.001), Hispanic/Latinx or Black/African American (30% versus 25% and 25% vs. 18%, p < 0.0001), and Medicaid or Medicare beneficiaries (74% vs. 67% and 16% vs.10%, respectively, p < 0.0001). New data sources also identified a higher proportion of patients: at extremes of age (16% < 18years and 9% ≥ 65years vs. 2% and 5%, respectively, p < 0.0001), with increased clinical risk (31% with CRG 6-9 vs. 18%, p < 0.0001), and with a mental health diagnosis (56% vs. 42%, p < 0.0001), and a lower proportion of patients with a substance use diagnosis (39% vs. 54%, p < 0.0001) or criminaljustice involvement (8% vs. 15%, p < 0.0001). Newly identified patients were more likely to be engaged in primary care (OR 2.03, 95% CI 1.83-2.26) but less likely to be engaged with homeless service providers (OR 0.70, 95% CI 0.63-0.77). Commonly utilized methods of identifying PEH within healthcare systems may underestimate the population and introduce reporting biases. Recognizing alternate identification methods may more comprehensively and inclusively identify PEH for intervention.

AHP-CRITIC-TOPSIS-based analysis of the influence of young people’s preferences on the design of Funan wicker home products

Wicker home products, handcrafted from sustainable materials such as willow, vine, and bamboo, embody principles of sustainable development. However, they face a lack of clear appeal among young consumers in the Chinese market. This study utilizes the AHP-CRITIC-TOPSIS method to examine user preferences for Funan Wicker home products to enhance the original products based on young users’ choices in the contemporary era. Using the AHP method, 14 evaluation indicators were selected across three key factors and determined subjective weights. Objective weights were calculated using the CRITIC method to establish a comprehensive ranking. Subsequently, the TOPSIS method was employed to evaluate and order the nine design alternatives. The findings highlight a strong emphasis on emotional criteria in the evaluation process, with variables such as Weaving Fineness, Stress Release, Pleasure, and Cultural Value significantly influencing user preference. According to the calculations, the program IX with the highest proximity emerged as the optimal choice. Based on these results, the study refines design focus and quantitative indexes for willow home product designers, proposing innovative design methods that offer theoretical support and practical guidance for the development of willow products in Funan, China.

Machine learning model to predict the cooling load of mosque buildings during the design stage

The building sector accounts for almost 40% of the total global energy consumption. Mosques are among these buildings which found to consume huge amount of energy. There is an increased demand to establish new sustainable mosques. Although the design stage proves the superiority to reduce energy consumption up to 70%, majority of previous studies were found at operation and maintenance stages. This is due to the complexity of this stage, lack of information and support tools to assist designers. The current design tools and prediction models to estimate cooling load are complex, time-consuming and fail to meet the requirement of designers especially at the design stage. This paper aims to develop a machine learning prediction model to assist mosque designers in providing a range of lowest cooling load design alternatives. In developing the model, artificial neural network was applied including back-propagation strategy and Levenberg–Marquardt algorithm. The least mean square error was at 6.27 × 10 − 9 and the accuracy of the model reached at 99.88%. Further, nine experts were participated to estimate the effectiveness and ease of use of the prediction model. The model proved to be rapid, accurate and can be used by designers with no many simulation scenarios or complex calculations.

COI DNA barcoding to differentiate Haemagogus janthinomys and Haemagogus capricornii (Diptera: Culicidae) mosquitoes

The genus Haemagogus (Diptera: Culicidae) includes species that are important vectors of pathogens such as the yellow fever virus. The accurate identification of these species is essential for the control of zoonoses. Females of Hg. capricornii and Hg. janthinomys are morphologically indistinguishable, which makes the use of alternative identification techniques desirable. This study aimed to obtain sequences of the mitochondrial cytochrome c oxidase I (COI) gene, in the region widely used for DNA barcoding, of Haemagogus specimens from the state of São Paulo, Brazil, to evaluate the effectiveness of these sequences in the molecular identification of the species. A total of 37 female and 2 male mosquitoes were collected in various locations in the state of São Paulo, using methods such as hand-nets, Shannon traps, CDC light traps with CO2 bait and Nasci aspirators. The sequences of a 710 bp fragment of the COI gene were amplified by PCR and sequenced. A phylogenetic tree reconstruction was conducted using the Bayesian approach implemented in MrBayes v3.2.2, providing support values for taxa where genetic clusters may indicate the presence of new or cryptic species. We obtained 39 COI sequences representing three species: Haemagogus capricornii, Haemagogus leucocelaenus, and Haemagogus janthinomys. Bayesian analysis of the sequences produced clades that corroborate the morphological identification of the species. The separation of Hg. capricornii and Hg. janthinomys received 100 % statistical support and the Hg. capricornii was very well supported (91 %). The two sequences from male specimens, morphologically identified as Hg. capricornii, were grouped in the same clade, a sister clade of Hg. janthinomys. It is important to highlight that the Hg. janthinomys were positioned in several subclades, showing a polymorphism of this species within the state, a situation not observed for Hg. capricornii. For the first time, sequences of the mtCOI gene from Hg. capricornii were obtained and related to morphologically identified specimens. COI sequences proved effective in the molecular identification of Haemagogus species. This study contributes to the expansion of the GenBank database, providing the first sequences of Hg. capricornii and new sequences for Hg. janthinomys and Hg. leucocelaenus.

Optimizing column location in flat slab system using Particle Swarm Optimization vs Genetic Algorithms

Abstract One of the key architectural advantages of a concrete flat slab system is its flexibility in design. The absence of beams and columns allows for larger, open spaces with minimal obstructions, giving architects the freedom to create unique and innovative layouts. However, the location of the middle columns (one of the main factors affecting the construction cost) is commonly aligned based on experience which may entail an uneconomic design alternative. This paper aims to propose different machine learning optimization algorithms, namely, particle swarm optimization (PSO) and genetic algorithms (GA) to optimize the location of columns within a flat slab plan considering different serviceability requirements. Both optimization systems showed good performance for allocating the concrete columns, However, the GA algorithm showed better results in terms of maximum deflection with less computational effort.