External Conditions Research Articles

Evacuation safety assessment in corridor-type high-rise building under fires

This study aims to elucidate the characteristics of personnel evacuation in corridor-type high-rise building under fires and to assess their evacuation performance. Utilizing Building EXODUS software, the study simulated the evacuation behavior of occupants, particularly focusing on the impact of corridor structures on the building's fire evacuation capabilities. A performance evaluation model was developed, which incorporates factors such as building conditions and natural environments. This model employs an enhanced Analytic Hierarchy Process (AHP) combined with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) analysis for more accurate assessment. The findings reveal that traditional evacuation performance assessment methods, which often overlook the impacts of corridor location, time of day, and illumination conditions, are not adequately suited for the evaluation of evacuation performance in corridor-type high-rise building under fires. Under similar external conditions, the evacuation time for buildings with connecting corridors is significantly shorter than that for conventional high-rise buildings, showing reductions of 25.0 %–34.0 % at the same time of day and 26.0 %–37.8 % under the same illumination conditions. Additionally, nighttime evacuations are 29.4 % longer than those conducted during daytime. The implementation of a layered evacuation strategy reduces evacuation time by 9.7 % compared with free evacuation methods. The enhanced model proposed in this study provides a more effective framework for assessing the evacuation performance of corridor-type high-rise buildings.

Climate change and tourism demand: Risks for extreme heat?

Extremely high temperatures have become a major hurdle to tourists' experiences in various destinations. In this study, we present the first nationwide estimation of the temperature-tourism response function using a fine-grained panel dataset constructed by matching tourism data and daily meteorological datasets for 280 cities from 2005 to 2019 in China. Results show a non-linear relationship between temperature and tourism employing the temperature bins method, which is not sensitive to response equations. In addition, we conduct a rich heterogeneity analysis in the article to further analyse the effects of other external conditions on the temperature-tourism relationship, including the destination's level of tourism economic development, population, infrastructure development, and tourism resource endowment. We also observed that increasing summer temperatures result in decreased tourism arrivals and revenue, while rising autumn temperatures lead to increased tourism arrivals and revenue. This research contributes to a deeper understanding of the complex relationship between temperature dynamics and tourism patterns, offering insights into destination management and adaptation strategies.

METHODOLOGY FOR DEVELOPING INFORMATION TECHNOLOGY FOR SECURITY-ORIENTED MANAGEMENT OF SOCIO-ECONOMIC SYSTEMS BASED ON FUZZY LOGIC

In today's environment, socio-economic systems face increasingly complex challenges associated with high levels of uncertainty, risks, and rapid changes in the external environment. This necessitates the development of effective management methods that can ensure the reliability and flexibility of decision-making. The research is aimed at creating a methodology for the development and application of information technology for security-oriented management based on the principles of fuzzy logic. Fuzzy logic, based on the theory of fuzzy sets developed by Lotfi Zadeh, is a powerful tool for working with incomplete and fuzzy data, allowing to model complex systems and processes where traditional approaches may be ineffective. The paper discusses the peculiarities of using fuzzy logic to create models that take into account possible risks and facilitate informed decision-making even with limited information. The proposed methodology allows to integrate various data sources, process them in real time and provide recommendations for risk management and security of socio-economic systems. The study also describes the structure of the technology, which includes the stages of data collection, fuzzification, fuzzy inference, defuzzification, and decision support. Systems based on fuzzy logic demonstrate high adaptability, resilience to change, and the ability to operate in the face of unpredictable changes. The results of the study confirm that the proposed information technology can be applied in various industries, such as transportation, healthcare, and industry, to improve the safety and efficiency of management decisions. The use of the proposed methodology helps to reduce risks, improve the quality of management and adaptability to changes in external conditions, which are key requirements in modern management.

The Significance of Body Surface Area to Mass Ratio for Thermal Responses to a Standardized Exercise-Heat Stress Test.

To evaluate the significance of body surface area-to-mass ratio (BSA/mass) on the heat-tolerance test (HTT) results. We hypothesized that individuals defined as heat tolerant (HT) would have on average higher BSA/mass compared to heat intolerant (HI) individuals. A retrospective reanalysis of the HTT results of 517 soldiers (age: 18-38 yrs., M/F: 96/4%), who were tested by the Israel Defense Forces (IDF) HTT protocol. The criterion for heat tolerance in the current analysis was a rectal temperature (Tre) plateau during the second hour of the test. A logistic regression analysis to evaluate the predictive power of BSA/mass for heat intolerance was performed; the spline model was applied to show the odds for heat intolerance across BSA/mass. In men BSA/mass of HI individuals was lower than HT individuals (248 ± 19 vs. 262 ± 18 cm2/kg, p < 0.01, d = 0.76). In women a similar trend was noted but with no statistical significance between HT and HI groups. The odd ratio for heat intolerance for every unit increase in BSA/mass was 0.97 (CI 95% 0.95-0.99). The spline model plateaued above BSA/mass of 270 cm2/kg. The results imply that body-core temperature responses to a standard exercise-heat stress (fixed external work rate and climatic conditions) are influenced by BSA/mass. More specifically, lack of a steady state in Tre (indicating heat intolerance) was more likely to occur with every unit decrease in BSA/mass. These findings contribute to a better understanding of the role of body anthropometry in the response to a standard exercise-heat task that might have an implication on clinical decision-making about return to duty/play of soldiers, athletes and others who deemed to be identified as HI.

Standing Long Jump Performance Is Enhanced When Using an External as Well as Holistic Focus of Attention: A Kinematic Study.

Standing long jump is known as one of the important skills in the success of athletes in most sports. In addition, one of the most effective factors that can affect standing long jump distance and kinematics is the focus of attention used by the athlete. Therefore, the aim of the present study was to compare the effect of internal, external, and holistic focus of attention instructions on standing long jump performance and kinematics. The participants were 30 novices (all males; mean age = 21.70 ± 2.21 years; mean height = 175.73 ± 6.09 cm; and mean weight = 73.76 ± 11.77 kg) who performed 12 standing long jumps in four focus of attention conditions. Internal focus, external focus, holistic focus, and control conditions were implemented in a counterbalanced order. Jump distance and maximum knee flexion angle before take-off were recorded in all trials. The results showed that in relation to the standing long jump performance, the distance was similar in external and holistic focus conditions, and both were superior to internal or control conditions. There was no difference between control and internal focus of attention conditions. The results related to movement kinematics, however, did not report a difference between the maximum flexion angles before take-off. This study replicates the benefits of external and holistic focus instructions for jump distance, but this difference was not a product of different maximum knee flexion angles. It is suggested that coaches implement external and/or holistic focus cues to maximize athlete performance in jumping tasks.

Principles of Molecular Evolution: Concepts from Non-equilibrium Thermodynamics for the Multilevel Theory of Learning.

We present a non-equilibrium thermodynamics approach to the multilevel theory of learning for the study of molecular evolution. This approach allows us to study the explicit time dependence of molecular evolutionary processes and their impact on entropy production. Interpreting the mathematical expressions, we can show that two main contributions affect entropy production of molecular evolution processes which can be identified as mutation and gene transfer effects. Accordingly, our results show that the optimal adaptation of organisms to external conditions in the context of evolutionary processes is driven by principles of minimum entropy production. Such results can also be interpreted as the basis of some previous postulates of the theory of learning. Although our macroscopic approach requires certain simplifications, it allows us to interpret molecular evolutionary processes using thermodynamic descriptions with reference to well-known biological processes.

Reproduction of single-to-double hysteresis transition of nuclear spin polarization in a single InAlAs quantum dot

We have observed a transition from single to double hysteresis of nuclear spin polarization (NSP) with increasing magnetic field in a single InAlAs self-assembled quantum dot, which means the birth of a third stable branch that depends on the field strength. This NSP transition behavior could not be reproduced by standard model calculations using a fixed electron–nuclear spin correlation time τc under different external field conditions. By introducing the field dependence of τc, we were able to successfully reproduce the observed NSP transition. This finding on the phenomenological description of the magnetic field dependence will be a future highlight of τc.

Linking feed, biodiversity, and filtration performance in a Self-Forming Dynamic Membrane BioReactor (SFD MBR) treating canning wastewater

A bench-scale self-forming dynamic membrane bioreactor (SFD MBR) treating canning wastewater showed instable filtration performance, with a worsening in correspondence of a change in the influent quality. To unveil the possible reasons for such behaviour, a microbial investigation was carried out to complement conventional filterability and settleability tests. The microbial communities of the influent wastewater, the activated sludge, and the filtering sludge cake (dynamic membrane) were characterised through metagenomic and differential abundance analyses. In parallel, the production of exopolymers was measured. The outputs indicate that under the tested conditions the canning wastewater promoted the development of a very peculiar microbial ecosystem, with a strong selection of the genus Thiothrix (relative abundance above 90 %). The Shannon index values in activated sludge were below 2, indicating a very low bacterial diversity. This may have limited the ecosystem resilience towards changes of external conditions, causing instability in the process of the dynamic membrane formation. Furthermore, the diversity analysis showed that the bacterial compositions of the feed and the sludge resulted not significantly linked to each other, confirming the main role of the chemical composition of the influent wastewater on overall process performances. When treating agro-industrial streams, in-depth feed characterisation is recommended in order to prevent the factors that may generate instability in SFD MBR performance.

Research on fractional wavelet transform combined with parameter adaptive PCNN for infrared and visible image fusion algorithm

Infrared and visible image fusion holds significant value across various fields due to its ability to provide complementary information. However, existing fusion algorithms often suffer from susceptibility to external physical conditions of source images, leading to inconsistent fusion quality and limited adaptive capability. In this paper, we propose a fractional wavelet transform fusion algorithm for infrared and visible images. This algorithm uses fractional wavelet domain image decomposition to more accurately locate the image structures of different scales. Initially, we perform image decomposition using a non-subsampled shearlet transform (NSST) with multi-scale and multi-directional decomposition. Subsequently, to effectively fuse detailed information, we employ discrete fractional wavelet transform (DFRWT) to decompose low-frequency subbands while selecting an appropriate p-value. High-frequency subbands are fused using a parameterized adaptive pulse-coupled neural network (PCNN) model. To validate the superiority of our algorithm, we conduct visual and quantitative comparative analyses against several existing algorithms. The results confirm that our proposed algorithm exhibits robustness against external physical conditions and surpasses these existing algorithms, making it highly applicable for infrared–visible fusion tasks.

Matlab-Simulink Model of CHMT for Internal Climate in Greenhouses

Over the past twenty years, Kenya&amp;apos;s food security has been threatened by the sub-division of land into tiny areas and the clearance of forests to make way for settlement. These actions have an impact on soil moisture, rainfall patterns, and regional temperature changes. Clear response plans and adaption techniques have been required to address the threats that have arisen. Greenhouse farming, where warmer temperatures are attained and the impact of unfavourable weather conditions on plants is mitigated by the enclosure, is one strategy being used to combat the production of food and climate change. Nevertheless, crop production and quality are negatively impacted by traditional techniques of regulating temperature and humidity through arbitrary opening and closing of the greenhouse walls. In light of this, the goal of this research was to enhance greenhouse farming as it exists today by implementing a dynamic, adjustable system that would create ideal climate conditions for plant growth. This mostly entailed controlling the greenhouse&amp;apos;s humidity, temperature, and vapour pressure deficit to the ideal ranges needed by various plants. The humidity and air temperature within the greenhouse were the controlled microclimate conditions. These were accomplished by simulating the convectional heat transfer and mass transfer that occur inside the greenhouse to control the temperature and humidity, and by developing mathematical model utilizing differential equations. Proportional Integral Derivative (PID) was utilized to automatically modify SIMULINK, a block-based modelling and simulation tool. Regardless of the different external conditions, the numerical values for internal temperature and humidity were calculated and graphically depicted. The model made it possible to modify the outcomes according to the needs of the plant. To increase crop productivity in greenhouse farming, it was suggested that a physical prototype model be constructed and integrated into the greenhouse construction.

Growth and evolution of Ni-Ti-Si type G phase Ni16Ti6Si7 in Cu alloys

By changing the cooling rate and adding P element, the morphology of primary Ni16Ti6Si7 in hypereutectic Cu-Ni-Si-Ti alloy has been analyzed in detail, and its growth mechanism has been discussed. Increasing the cooling rate can enhance the nucleation and growth of the primary phase. However, excessive cooling rates may result in constitutional supercooling, leading to the primary phase exhibiting various shapes. During the growth process, the crystal will preferentially grow along the 〈100〉 direction, and eventually cause the {100} facets to degenerate into corners, while the {111} facets retain and forms the octahedral Ni16Ti6Si7 due to the lower growth rate. Meanwhile, when the external growth conditions are changed, such as adding P element, the relative growth rate of <1 0 0 > and 〈111〉 directions will be changed, and the {1 0 0} facets will eventually remain and form cubic Ni16Ti6Si7.

Investigating how oxygen levels and particle size impact the thermodynamics of low temperature coal oxidation: A case study using weakly caking coal

Oxygen concentration and particle size play critical roles in the combustion of coal. Notably, the low temperature oxidation stage is considered pivotal for coal spontaneous combustion (CSC). In this study, we examined the exothermic oxidation of low-temperature weakly caking coal. We used a C80 microcalorimeter to assess the impact of different oxygen concentrations and particle sizes. For weakly caking coal during low-temperature oxidation, the heat flow (HF) curve decreases as oxygen concentration drops. The characteristic temperature increases, and the HF curve shows a noticeable lag. Under identical external conditions, decreasing the particle size of coal results in a reduced minimum floating coal thickness, lowers the oxygen concentration needed for CSC, increases the upper-limit of air leakage intensity, and makes the coal more susceptible to CSC. Reducing the particle size significantly increases the exothermic heat release during low-temperature oxidation, leading to a higher risk of CSC. These research results not only deepen the understanding of the law of coal spontaneous combustion, but also provide a scientific basis for improving the technical level of coal spontaneous combustion fire prevention and control.

DOES PERCEIVED VALUE ACCOMPANIED BY SATISFACTION INFLUENCE GOJEK'S CUSTOMER LOYALTY?

Technological advancements in business have significantly transformed the domains of business operations and finance, particularly in the context of customer loyalty towards online transportation services such as Gojek. This study addresses the challenges faced by customer loyalty amidst intense business competition and underscores the necessity for business processes to remain uninterrupted regardless of external conditions. The primary objective of this research is to investigate the determinants of customer loyalty, focusing specifically on value perception and customer satisfaction. Building upon the research conducted by Diallo, Diop-Sall, Djelassi, and Godefroit-Winkel (2018), which highlighted the influence of perceived benefits and positive experiences on customer loyalty, this study extends the theoretical framework to examine the interplay between value perception and customer satisfaction in the context of Gojek. Methodologically, the study employed a sample of 100 respondents and utilized Partial Least Squares (PLS) for hypothesis testing. The findings reveal that both value perception and satisfaction have a significant impact on customer loyalty towards Gojek in Yogyakarta. This study illustrates that Gojek's customer loyalty in Yogyakarta remains robust despite the prevailing competitive pressures. Consequently, it is imperative for Gojek’s management to continuously nurture and enhance customer loyalty irrespective of competitive challenges. Furthermore, the research contributes valuable insights for scholars in the fields of business and finance, particularly in the realm of customer loyalty research

Design of Export Strategy for Roasted Beans Products to The Asean Market Using The Swot Method and The Use of Trade Map (Case Study: Pt Wahana Development Indonesia)

This research aims to analyze the potential of roasted coffee bean products and provide a strategy proposal for PT. Wahana Development Indonesia (Kopi Sarongge) to maximize sales by exporting roasted beans via the Trade Map website to ASEAN countries, particularly Singapore, Malaysia, and Thailand. The analysis methods employed include SWOT analysis, IFAS, EFAS, and strategy formulation using the TOWS matrix. Based on the processed data from the IFAS table, the IFAS value of 3.11 indicates that the Company possesses significant strengths. This suggests the Company has many internal advantages and capabilities. Furthermore, the EFAS table yielded a value of 2.73, indicating relatively favorable external conditions for the Company despite facing some challenges. In the TOWS matrix, the Company ranks 1st with an SO strategy, where it should leverage its reputation for high-quality coffee beans to meet the increasing demand in international markets, utilize competent human resources to explore the export-import sector, set competitive pricing to enhance competitiveness and attract international market interest, and utilize adequate production capacity to sell through various channels. This research was conducted to determine the strategies that the Company should employ to penetrate the ASEAN market.

Physicochemical Characterization and Antimicrobial Properties of Lanthanide Nitrates in Dilute Aqueous Solutions.

This work presents the results of studying dilute aqueous solutions of commercial Ln(NO3)3 · xH2O salts with Ln = Ce-Lu using X-ray diffraction (XRD), IR spectroscopy, X-ray absorption spectroscopy (XAS: EXAFS/XANES), and pH measurements. As a reference point, XRD and XAS measurements for characterized Ln(NO3)3 · xH2O microcrystalline powder samples were performed. The local structure of Ln-nitrate complexes in 20 mM Ln(NO3)3 · xH2O aqueous solution was studied under total external reflection conditions and EXAFS geometry was applied to obtain high-quality EXAFS data for solutions with low concentrations of Ln3+ ions. Results obtained by EXAFS spectroscopy showed significant contraction of the first coordination sphere during the dissolution process for metal ions located in the middle of the lanthanide series. It was established that in Ln(NO3)3 · xH2O solutions with Ln = Ce, Sm, Gd, Yb (c = 134, 100, 50 and 20 mM) there are coordinated and, to a greater extent, non-coordinated nitrate groups with bidentate and predominantly monodentate bonds with Ln ions, the number of which increases upon transition from cerium to ytterbium. For the first time, the antibacterial and antifungal activity of Ln(NO3)3 · xH2O Ln = Ce, Sm, Gd, Tb, Yb solutions with different concentrations and pH was presented. Cross-relationships between the concentration of solutions and antimicrobial activity with the type of Ln = Ce, Sm, Gd, Tb, Yb were established, as well as the absence of biocidal properties of solutions with a concentration of 20 mM, except for Ln = Yb. The important role of experimental conditions in obtaining and interpreting the results was noted.

Time Profile Study of Type III Solar Radio Bursts Using Parker Solar Probe

Solar type III radio bursts are crucial indicators of energetic electron activity in the solar corona and interplanetary space. Our assessment of 43 interplanetary type III bursts, recorded by the FIELDS instrument on board the Parker Solar Probe during Encounters 05 to 11, has led to significant and complex findings. We have analyzed time profile features across a frequency range of 19–0.5 MHz, revealing dependencies on frequency and providing insights into duration, burst speeds, bandwidths, and drift rates. This novel analysis has unveiled a spectral index of −0.63 ± 0.04 for rise, −0.69 ± 0.03 for decay time, and −0.68 ± 0.03 for the total duration. We have determined the average electron beam velocities for front, middle, and back as 0.15c, 0.13c, and 0.08c, respectively. Our findings show that faster electron beams generate emissions with shorter duration. The average ratio of the front-to-back velocity is 1.87, and the ratio of front-to-middle velocity is 1.23. We have also discovered a strong relationship between burst duration with rise, peak, and decay times, particularly pronounced with decay time (correlation coefficient = 0.95). This indicates that the entire temporal profile, including rise, peak, and decay phases, collectively contributes to event duration and is not solely influenced by external factors like plasma conditions or electron beam dynamics but also by internal burst processes. These complex findings shed light on the physical mechanisms governing burst dynamics, revealing intricate interactions between electron beam characteristics and observed temporal and spectral traits of type III solar radio bursts.

Long term environmental safety evaluation of incineration fly ash and its use as admixture after freeze-thaw

Extensive research has been conducted on the short-term performance of incineration fly ash resource utilization. However, research on the long-term leaching characteristics of heavy metals under external environmental conditions is limited. Therefore, the frost resistance of cement prepared with incineration fly ash as an admixture focused on the leaching characteristics of heavy metals from incineration fly ash and mortar after freeze-thaw were studied by XRD, MIP, SEM, and ICP-MS. The results showed that after 100 freeze-thaw cycles, Cd (HJ 299–2007) in incineration fly ash leached heavy metals exceeding 42.07 % of the GB 18598-2019 limit value. 5 % incineration fly ash enhanced the compressive strength of cement, but exceeding 5 % led to a decrease in compressive strength. After freeze-thaw, incineration fly ash increased the mortar mass loss, strength loss, and porosity. The leaching concentration of heavy metals from incineration fly ash increased under three environment, with the leaching concentration of Ni (HJ 300–2007) after 200 freeze-thaw and the leaching concentration of Cd exceeding 2323.87 % of the limit of GB 16889-2008. Although the concentration of heavy metals in mortar increased with the number of freeze-thaw, the leaching concentration was only 1.73 % of the standard limit, posing no risk of exceeding the limit. Therefore, resource utilization could effectively mitigate the leaching of heavy metals from incineration fly ash under external environmental conditions.

Human Resource Development Strategy At The Batangkaluku Agricultural Training Center In Gowa District

Human resource development (HRD) in public organizations, including the Batangkaluku Agricultural Training Center, is crucial for achieving success and effectiveness. Technology, government policies, and other external dynamics are factors that influence HRD strategies. This research aims to identify alternative HRD strategies that are suitable for the organization's needs and potential. Through SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis and QSPM (Quantitative Strategic Planning Matrix), this research presents an overview of the organization's internal and external conditions as well as alternative strategies that can be adopted. The findings of this research contribute to the HRD literature and provide practical guidance for public organizations to formulate focused and relevant strategies. The conclusion of this research outlines the results of IFAS and EFAS, which yield several alternative strategies, such as developing the competence and excellence of the BBPP in agricultural workforce training, being responsive to the needs of the agricultural sector with training programs, actively promoting training programs and expanding partnership networks, and establishing a monitoring and evaluation system, with the third strategy showing the highest score in QSPM.

A Mathematical Model for Postimplant Collagen Remodeling in an Autologous Engineered Pulmonary Arterial Conduit.

This study was undertaken to develop a mathematical model of the long-term in vivo remodeling processes in postimplanted pulmonary artery (PA) conduits. Experimental results from two extant ovine in vivo studies, wherein polyglycolic-acid (PGA)/poly-L-lactic acid tubular conduits were constructed, cell seeded, incubated for 4 weeks, and then implanted in mature sheep to obtain the remodeling data for up to two years. Explanted conduit analysis included detailed novel structural and mechanical studies. Results in both studies indicated that the in vivo conduits remained dimensionally stable up to 80 weeks, so that the conduits maintained a constant in vivo stress and deformation state. In contrast, continued remodeling of the constituent collagen fiber network as evidenced by an increase in effective tissue uniaxial tangent modulus, which then stabilized by one year postimplant. A mesostructural constitute model was then applied to extant planar biaxial mechanical data and revealed several interesting features, including an initial pronounced increase in effective collagen fiber modulus, paralleled by a simultaneous shift toward longer, more uniformly length-distributed collagen fibers. Thus, while the conduit remained dimensionally stable, its internal collagen fibrous structure and resultant mechanical behaviors underwent continued remodeling that stabilized by one year. A time-evolving structural mixture-based mathematical model specialized for this unique form of tissue remodeling was developed, with a focus on time-evolving collagen fiber stiffness as the driver for tissue-level remodeling. The remodeling model was able to fully reproduce (1) the observed tissue-level increases in stiffness by time-evolving simultaneous increases in collagen fiber modulus and lengths, (2) maintenance of the constant collagen fiber angular dispersion, and (3) stabilization of the remodeling processes at one year. Collagen fiber remodeling geometry was directly verified experimentally by histological analysis of the time-evolving collagen fiber crimp, which matches model predictions very closely. Interestingly, the remodeling model indicated that the basis for tissue homeostasis was maintenance of the collagen fiber ensemble stress for all orientations, and not individual collagen fiber stresses. Unlike other growth and remodeling models that traditionally treat changes in the external boundary conditions (e.g., changes in blood pressure) as the primary input stimuli, the driver herein is changes to the internal constituent collagen fiber themselves due to cellular mediated cross-linking.

Three-Dimensional Metallic Surface Micropatterning through Tailored Photolithography-Transfer-Plating.

Precise micropatterning on three-dimensional (3D) surfaces is desired for a variety of applications, from microelectronics to metamaterials, which can be realized by transfer printing techniques. However, a nontrivial deficiency of this approach is that the transferred microstructures are adsorbed on the target surface with weak adhesion, limiting the applications to external force-free conditions. We propose a scalable "photolithography-transfer-plating" method to pattern stable and durable microstructures on 3D metallic surfaces with precise dimension and location control of the micropatterns. Surface patterning on metallic parts with different metals and isotropic and anisotropic curvatures is showcased. This method can also fabricate hierarchical structures with nanoscale vertical and microscale horizontal dimensions. The plated patterns are stable enough to mold soft materials, and the structure durability is validated by 24 h thermofluidic tests. We demonstrate micropatterned nickel electrodes for oxygen evolution reaction acceleration in hydrogen production, showing the potential of micropatterned 3D metallic surfaces for energy applications.