Utilization Factor Research Articles

Restoring discarded porcine lungs by ex vivo removal of neutrophil extracellular traps

BackgroundBy causing inflammation and tissue damage, neutrophil extracellular traps (NETs) constitute an underlying mechanism of aspiration-induced lung injury, a major factor of the low utilization of donor lungs in lung transplantation (LTx). MethodTo determine whether NET removal during ex vivo lung perfusion (EVLP) can restore lung function and morphology in aspiration-damaged lungs, gastric aspiration lung injury was induced in 12 pigs. After confirmation of acute respiratory distress syndrome, the lungs were explanted and assigned to NET removal connected to EVLP (treated) (n=6) or EVLP only (non-treated) (n=6). Hemodynamic measurements were taken, and blood and tissue samples were collected to assess lung function, morphology, levels of cell-free DNA, extracellular histones, and nucleosomes as markers of NETs as well as cytokine levels. ResultsAfter EVLP and NET removal in porcine lungs, PaO2/FiO2 ratios increased significantly compared to those undergoing EVLP alone (p=0.0411). Treated lungs had lower cell-free DNA (p=0.0260) and lower levels of extracellular histones in EVLP perfusate than non-treated lungs (p=0.0260). According to histopathology, treated lungs showed less immune cell infiltration and less oedema compared with non-treated lungs which was reflected in decreased levels of pro-inflammatory cytokines in EVLP perfusate and BALF. ConclusionTo conclude, removing NETs during EVLP improved lung function and morphology in aspiration-damaged donor lungs. The ability to remove NETs during EVLP could represent a new therapeutic approach for LTx and potentially expand the donor pool for transplantation.

Robust modification optimization for helical gear mounting errors based on contact ratio

Mounting errors are a disruptive factor in gear utilization. This paper investigates the contribution of mounting error components in helical gears to the helix slope deviation using the involute equations. A model of the helical gear transmission system has been established, by which the impact of mounting errors on the loaded transmission error and contact ratio of the bevel gear transmission was studied using the Loaded Tooth Contact Analysis method. A bench test was then casted as a verification of this model. A methodology was proposed for optimizing the micro modification of helical gear flanks based on contact ratio control. Robust optimization of the mounting error was achieved by reducing the contact ratio under commonly used torques compared to the contact ratio at the local minimum of the loaded peak-to-peak transmission error. This approach has been demonstrated to enhance the robustness of gear transmission against mounting errors and torque fluctuations.

Toward a Green Energy System: How Does Carbon Capture, Utilization, and Storage Technology Innovation Promote Green Total Factor Productivity?

Abstract Using a panel data set from 2007 to 2019, we empirically evaluate the impact of carbon capture, utilization, and storage (CCUS) technology innovation on green total factor productivity (GTFP). The findings show that (1) CCUS technology innovation significantly improves GTFP. (2) CCUS technology innovation significantly contributes to GTFP by promoting industrial structure upgrading and carbon emissions efficiency. (3) Environmental regulation plays a positive moderating role in the nexus between CCUS technology innovation and GTFP. The findings of this paper provide guidance for China to achieve green energy transition and build a green energy system.

Comments by Phouphet Kyophilavong, on Toward a Green Energy System: How Does Carbon Capture, Utilization, and Storage Technology Innovation Promote Green Total Factor Productivity?

Comments by Phouphet Kyophilavong, on Toward a Green Energy System: How Does Carbon Capture, Utilization, and Storage Technology Innovation Promote Green Total Factor Productivity?

Comments by Chia Wai Mun, on Toward a Green Energy System: How Does Carbon Capture, Utilization, and Storage Technology Innovation Promote Green Total Factor Productivity?

Comments by Chia Wai Mun, on Toward a Green Energy System: How Does Carbon Capture, Utilization, and Storage Technology Innovation Promote Green Total Factor Productivity?

Обоснование технологии получения заготовки для ножа исполнительного органа геохода

Introduction. In the construction of the geohod, a blade executive body is used as a working body, which is an element of screw blades rigidly connected to each other in the center of the geohod. The shape of the body is proposed to be made in a helicoid shape, taking into account the specifics of the operation of the underground unit. Therefore, at present, the development and justification of technological solutions for the manufacture of knives of various shapes of the executive body is an urgent task. Materials and methods. The paper considers the main methods for obtaining a body blank of the executive body of the geohod, based on the structural, functional and technological features of the geohod design. To determine the rational variant of the casting method, the main technological capabilities of the casting methods are analyzed. To assess the effectiveness of casting methods, such indicators as: the material utilization factor and the technological cost of the work piece are considered. It is noted that one of the traditional approaches for obtaining a billet is the method of metalworking by pressure. To obtain a blank of the body, the possibility of using rolling and bending technology is considered. The choice of pressure treatment technology is justified. Research results and their discussions. The results of calculations of the technological cost of the casting billet show that it is advisable to use shell casting to obtain a body billet in the conditions of mass production of underground aggregates. Also, the results of determining the technological cost of the work piece by pressure treatment show that it is advisable to use the bending method to obtain a body blank in conditions of small-scale production and medium-scale production of equipment. Conclusion. To choose a method for obtaining a blank body of the executive body, it is necessary to take into account a number of features of the application of methods for obtaining a blank. First of all, it is necessary to take into account the type of production, the degree of ensuring accuracy and quality, especially in terms of strength characteristics, the possibility of using high-performance equipment to increase the productivity of the enterprise. Resume. The article presents the results of research to determine the choice of a method for obtaining a body blank of the executive body of the geohod. It is established that when choosing a method for obtaining a work piece, it is necessary to take into account the type of production, the degree of accuracy and quality, especially in terms of strength characteristics, and the possibility of using high-performance equipment to increase production productivity. Suggestions for practical application and direction of future research can be made in the implementation of the body manufacturing technology of the executive body of the geohod, taking into account the optimal geometry of the cutting edge of the body and the type of production of tunneling units.

Refinement of the train formation plan calculation model by considering the effect of switchyard stations' workload

The article is dedicated to improving the mathematical model for calculating the freight train formation plan (TFP) on the railway network of JSC «Ukrzaliznytsia». The system of organizing freight flows in rail transport is based on strategic planning through TFP, which allows increasing the efficiency of using cars and infrastructure, reducing delays in forming trains, and reducing their transportation time. At the same time, the existing TFP calculation models have certain shortcomings, in particular, the complexity of taking into account the numerous factors that influence the process of train formation. This study proposes a refinement of the TFP mathematical model by including the dependence of wagon-hour costs on the function of the variable utilization factor of technical stations. An automated calculation method developed by one of the authors, based on the application of the mathematical apparatus of genetic algorithms, was used for the calculations. A comparative analysis of the calculation results using the standard and improved models showed that taking into account the impact of station congestion allowed reducing costs by 405.7 wagon-hours, or 3.5% of the total costs for train accumulation and reformatting. The application of the proposed refinement of the TFP model allows the railway operator to obtain more accurate and justified planning results, which will contribute to improving the efficiency of wagon flow management. In addition, the implementation of this approach can serve as the basis for further improving the methods of strategic planning of the transportation process and minimizing the impact of uncertainty factors. The proposed refinement of the TFP calculation model has not only a practical focus, but also represents a theoretical example of the application of an approach aimed at reducing the level of epistemic uncertainty in the management system of the operational work of rail transport. The systematic development and implementation of such approaches creates the basis for mitigating the negative impact of factors that represent sources of other types of uncertainty

The Impact of Social Deprivation on Health Care Utilization Patterns Following Closed Reduction and Percutaneous Pinning of Pediatric Supracondylar Humerus Fractures

BackgroundDisparities in social determinants of health have been linked to worse patient reported outcomes, higher postoperative pain, and increased risk of revision surgery following orthopaedic procedures. Identification of perioperative predictors of healthcare utilization is of particular interest to mitigate cost and improve patient outcomes. The aim of this study is to elucidate the effect of social deprivation levels, using the Area Deprivation Index (ADI), on healthcare utilization following pinning of supracondylar humerus (SCH) fractures. Identifying risk factors for discrepancies in healthcare utilization following SCH fracture fixation can help mitigate unnecessary healthcare spending and improve care of vulnerable patient populations. MethodsThis is a retrospective review of a single institution’s experience with SCH fracture pinning between 2010 and 2023. Demographic variables and healthcare utilization data were recorded within 90 days of surgery. The ADI was recorded, and patients were separated into terciles according to their relative level of social deprivation. Outcomes were then stratified based on ADI tercile and compared. Results1186 patients from a single level one trauma center were included in this study. The upper, middle, and lower terciles of ADI consisted of 226, 458, and 502 patients, respectively. The most deprived tercile had greater emergency department visitation within 90 days of surgery relative to the least and intermediate deprived terciles (IRR 1.85, 95% CI 1.10-3.08). Identifying as White was an independent risk factor for increased outpatient clinic utilization (IRR 1.17, 95% CI 1.03-1.34). Higher levels of social deprivation were independent risk factors for increased ED visitation. There was no difference in 90-day inpatient readmission rates or telephone/telehealth calls made to the clinic between the least, intermediate, and most deprived patients. ConclusionsThis study begins to shed light on how social determinants of health impact the postoperative care of the pediatric orthopedic patient and which patient populations are the most at-risk for disproportionate resource utilization after pinning of SCH fractures. Understanding these differences may lead to improved patient outcomes while decreasing potentially unnecessary burden on the healthcare system. Level of EvidenceIII; retrospective comparative study Key Concepts1.Social determinants of health impact the postoperative care of the pediatric patient in the setting of supracondylar humerus fractures, more socially deprived patients are at higher risk of postoperative emergency department visits, patient race is shown to be a factor in postoperative clinic utilization.

Comparative Study of Thermodynamic Performances: Ammonia vs. Methanol SOFC for Marine Vessels

AbstractIn response to escalating environmental concerns and the imperative to institute effective energy management strategies, the pursuit of alternative fuels has emerged as a pivotal endeavor for realizing sustainable energy solutions. Methanol and ammonia have surfaced as particularly promising and environmentally friendly liquid fuels, holding significant potential for aiding in the attainment of decarbonization objectives and addressing global energy requirements. This research proposes and scrutinizes a sophisticated cogeneration system integrating solid oxide fuel cells (SOFCs), gas turbine (GT), steam Rankine cycle, and organic Rankine cycle. Direct utilization of ammonia and methanol as fuel in this intricate system is examined, with the design and modeling facilitated through the utilization of Aspen HYSYS V.12.1. The thermodynamic performance of the proposed system is rigorously assessed by employing the foundational principles of the first and second laws of thermodynamics. The direct SOFCs fueled by ammonia and methanol exhibit notable energy efficiencies of 64.25 % and 58.42 %, respectively. Remarkably, the amalgamated systems showcase heightened energy efficiencies, witnessing a commendable increase of 12.64 % and 10.66 % when powered by ammonia and methanol, respectively, as compared to individual SOFC systems. Examination of exergy destruction reveals the SOFC as the principal contributor, with electrochemical and chemical processes constituting the primary sources of irreversibility. Additionally, explicit values for exergy destruction in the GT, afterburner, and heat exchanger components are provided. A comprehensive parametric study underscores the pivotal role of the fuel utilization factor (Uf), identifying a value of 0.85 as optimal and significantly augmenting the thermodynamic efficiency of the system. This analysis not only substantiates the potential of ammonia and methanol as effective carriers for hydrogen but also underscores the efficacy of waste heat recovery as a viable strategy for enhancing the overall thermodynamic performance of an SOFC system. The findings presented herein contribute valuable insights, paving the way for the strategic utilization of alternative fuels and cogeneration systems in the broader context of sustainable and environmentally conscious energy solutions.

Tracking China’s CO2 emissions using Kaya-LMDI for the period 1991–2022

The main aim of this study is to investigate how the different drivers regulating incremental CO2 emissions have evolved in China over seven five-year plans (1991–2022). The study also examines how these different drivers’ (including population, economic development, energy intensity, share of renewable energy and its productivity, and carbon intensity) regulating of CO2 emissions have changed. The results are obtained by employing Kaya identity and logarithmic mean divisia index (LMDI) methodology. Additionally, the Tapio method is utilized to study the decoupling elasticity history of carbon emissions from China’s economy. The decoupling of carbon emissions from the economy due to different drivers is further investigated, and the results may inform and assist policymakers in determining environmentally sustainable policies. The results reveal that the value added of CO2 emissions reached its highest point in the 10th five-year plan (FYP) and has decreased every year thereafter. Economic factor and renewable energy share factor are the main reasons for the increase in carbon emissions. Those emissions peaked in the 11th and 12th FYPs, respectively, and have been gradually declining in subsequent years. Meanwhile, the energy intensity factor, the renewable energy utilization factor, and the carbon emission intensity factor, as the key contributors to carbon emission reduction, have made monumental contributions to carbon emission reduction. These factors reached their highest levels in the 12th and 13th FYPs, respectively. China was still in a stage of weak decoupling at this stage, but the decoupling elasticity is gradually converging to zero. On an individual basis, energy intensity, carbon intensity, renewable energy productivity, and population factor have a much greater ability to decouple than economic factor and renewable energy share factor. Some implications are offered, including the improvement of population quality, the promotion of a green and low-carbon economy, and the innovation of energy efficiency.

Design of hydrogen production systems powered by solar and wind energy: An insight into the optimal size ratios

Green hydrogen is expected to play a crucial role in the future energy landscape, particularly in the pursuit of deep decarbonisation strategies within hard-to-abate sectors, such as the chemical and steel industries and heavy-duty transport. However, competitive production costs are vital to unlock the full potential of green hydrogen. In the case of green hydrogen produced via water electrolysis powered by fluctuating renewable energy sources, the design of the plant plays a pivotal role in achieving market-competitive production costs. The present work investigates the optimal design of power-to-hydrogen systems powered by renewable sources (solar and wind energy). A detailed model of a power-to-hydrogen system is developed: an energy simulation framework, coupled with an economic assessment, provides the hydrogen production cost as a function of the component sizes. By spanning a wide range of size ratios, namely the ratio between the size of the renewable generator and the size of the electrolyser, the cost-optimal design point (minimum hydrogen production cost) is identified. This investigation is carried out for three plant configurations: solar-only, wind-only and hybrid. The objective is to extend beyond the analysis of a specific case study and provide broadly applicable considerations for the optimal design of green hydrogen production systems. In particular, the rationale behind the cost-optimal size ratio is unveiled and discussed through energy (utilisation factors) and economic (hydrogen production cost) indicators. A sensitivity analysis on investment costs for the power-to-hydrogen technologies is also conducted to explore various technological learning paths from today to 2050. The optimal size ratio is found to be a trade-off between the utilisation factors of the electrolyser and the renewable generator, which exhibit opposite trends. Moreover, the costs of the power-to-hydrogen technologies are a key factor in determining the optimal size ratio: depending on these costs, the optimal solution tends to improve one of the two utilization factors at the expense of the other. Finally, the optimal size ratio is foreseen to decrease in the upcoming years, primarily due to the reduction in the investment cost of the electrolyser.

Exploring LGBT2Q+ Intracategorical Factors in Mental Health Service Utilization: Differences in Gender Modalities, Sexual Orientations, and Ethnoracial Groups in Canada.

LGBT2Q+ (lesbian, gay, bisexual, transgender, Two-Spirit, queer, plus) Canadians face minority stressors that lead to higher mental health inequalities such as worse self-reported mental health and increased risk of mental health issues when compared to their heterosexual/straight and cisgender counterparts. However, there are within-group (intracategorical) differences within a community as large as LGBT2Q+ peoples. Guided by the Andersen Model of Healthcare Utilization, we sought to explore intracategorical differences in LGBT2Q+ Canadian predisposing, enabling, and need factors in mental health service utilization within the past year. Using data from the 2020 LGBT2Q+ Health Survey (N = 1542), modified Poisson logistic regression found that more polysexual respondents and trans/gender-diverse respondents were more likely to have utilized mental health services within the past year than their gay, lesbian, and cis male counterparts. As well, compared to White respondents, Indigenous respondents were more likely to have utilized mental health services, while other racialized respondents were associated with less utilization. Backwards elimination of Andersen model of healthcare utilization factors predicting mental health service utilization retained two predisposing factors (ethnoracial groups and gender modality) and two need factors (self-reporting living with a mood disorder and self-reporting living with an anxiety disorder). Results suggest that polysexual, trans and gender-diverse, and racialized LGBT2Q+ peoples have an increased need for mental health services due to increased specific minority stressors that cisgender, White, monosexual peoples do not face. Implications for healthcare providers are discussed on how to improve service provision to LGBT2Q+ peoples.

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

This paper presents an innovative control scheme designed to significantly enhance the power factor of AC/DC boost rectifiers by integrating an adaptive neuro-fuzzy inference system (ANFIS) with predictive current control. The innovative control strategy addresses key challenges in power quality and energy efficiency, demonstrating exceptional performance under diverse operating conditions. Through rigorous simulation, the proposed system achieves precise input current shaping, resulting in a remarkably low total harmonic distortion (THD) of 3.5%, which is well below the IEEE-519 standard threshold of 5%. Moreover, the power factor reaches an outstanding 0.990, indicating highly efficient energy utilization and near-unity power factor operation. To validate the theoretical findings, a 500 W laboratory prototype was implemented using the dSPACE ds1104 digital controller. Steady-state analysis reveals sinusoidal input currents with minimal THD and a power factor approaching unity, thereby enhancing grid stability and energy efficiency. Transient response tests further demonstrate the system’s robustness against load and voltage fluctuations, maintaining output voltage stability within an 18 V overshoot and a 20 V undershoot during load changes, and achieving rapid response times as low as 0.2 s. Comparative evaluations against conventional methods underscore the superiority of the proposed control strategy in terms of both performance and implementation simplicity. By harnessing the strengths of ANFIS-based voltage regulation and predictive current control, this scheme offers a robust solution to power quality issues in AC/DC boost rectifiers, promising substantial energy savings and improved grid stability. The results affirm the potential of the proposed system to set new benchmarks in power factor correction technology.

Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems

This study investigates the application of machine learning techniques—specifically convolutional neural networks, multilayer perceptrons and cascaded forward neural networks —to understand the wettability of the CO2/brine/rock system, a critical factor in carbon dioxide (CO2) capture, utilization, and storage in deep saline aquifers. Understanding wettability is essential for improving the efficacy of CO2 storage. The study incorporates variables such as salinity, mineral types, measurement methods, pressure, and temperature into the machine learning models. Using a dataset of 876 samples from existing literature, the proposed models were trained and optimized using the Adam optimizer, Levenberg-Marquardt algorithm, and particle swarm optimization respectively.The performance of these models was evaluated through plot analysis, statistical indicators, and the Taylor diagram, demonstrating a high level of accuracy compared to experimental data. The specifically convolutional neural networks model showed exceptional accuracy in predicting CO2 wettability in brine, with a root mean square error of 0.9612 and coefficient of determination value of 0.9982. The minimal presence of outliers in the specifically convolutional neural networks model further confirms its robustness.This research highlights the effectiveness of deep learning in modeling complex wettability behaviors in CO2-brine-mineral systems, offering substantial insights for enhancing carbon dioxide (CO2) capture, utilization, and storage strategies. The novelty of this work lies in its comprehensive integration of multiple variables and the use of advanced machine learning optimization techniques, going beyond previous efforts by achieving higher predictive accuracy and providing a more detailed understanding of wettability dynamics.

Support from Physicians as a Key Enabling Factor for Rehabilitation Utilization in Migrants with Back Pain: A Longitudinal Analysis

In Germany, medical rehabilitation is provided to promote work ability and health in the case of chronic illness and to avoid early disability pensions. Studies have shown that employees with a history of migration are less likely to seek medical rehabilitation. The aim of this paper was to examine which factors influence the use of medical rehabilitation services in migrants with back pain.We used data from a German cohort study also including migrant employees aged 45 to 59 years. Participants reported back pain in the last 3 months and completed a baseline questionnaire in 2017. Data on rehabilitation utilization was extracted from administrative records covering the period until the end of 2018. Proportional hazard models were fitted to identify factors that were associated with utilized rehabilitation measures.Data of 552 participants were included, and 25 individuals utilized rehabilitation during follow-up. Sex (women: HR = 3.05; 95% CI: 1.10; 8.45), higher job insecurity (HR = 1.02; 95% CI: 1.00; 1.03), support from physicians and therapists (HR = 2.22; 95% CI: 1.52; 3.24), proportion of foreigners (HR = 3.27; 1.17; 9.15), and the self-reported need for rehabilitation (HR = 3.23; 95% CI: 1.12; 8.60) were associated with utilization.In summary, informational and practical support provided by physicians and therapists on medical rehabilitation services seems to be a key predictor of rehabilitation utilization. Our findings, therefore, support the call for transcultural competence to be more widely incorporated into the education of medical and health professionals to counteract health care disparities.

Optimizing the Battery Management Algorithm of the Agricultural Robot Based on the Workload

This article focuses on optimizing the battery management algorithm to minimize the amount of energy remaining in the battery at the end of the workload.The increasing use of renewable energy to operate agricultural robots increases the autonomy of the robot's energy supply. The volatility of renewable energy in turn increases the need for a smart battery management system. In the case of non-optimized battery management, up to 25% of the energy in the battery may remain unused, depending on the workload. A battery management algorithm was developed, which allows reducing the amount of residual energy remaining in the battery depending on the workload and increasing the time utilization factor of the agricultural robot. The concept was proven with computer models that use data of the energy consumption of the farming robot and the limitations of the workload due to the geometry of the cultivated fields.

Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Cultivated land intensive utilization (CLIU) exhibits spatial heterogeneity that is influenced by both natural and anthropogenic factors, with land dissected into different scale systems; however, CLIU has not yet been systematically explored. This study takes the Beibu Gulf urban agglomeration, a national-level model area for integrated land and sea development in China, as an example to investigate the spatial heterogeneity of CLIU and explore its driving factors through multiple econometrical and geographical methods, including identifying its underlying mechanisms. The results indicate that (1) the CLIU index is 0.334, its Gini coefficient is 0.183, and its comprehensive level has a low intensity and obvious spatial nonequilibrium characteristics. Hypervariable density (50.33%) and the intraprovincial gap (45.6%) are the main sources. (2) Among the independent effects of single factors, the multiple cropping index (0.57), labor force index (0.489), and intensification of construction land (0.375) exert the most influence on CLIU spatial variation. The interaction effects of two factors primarily manifested as nonlinear enhancements, with the interaction between the labor force index and multiple cropping index being particularly noteworthy (0.859). (3) The geographically weighted regression coefficients reveal that temperature (0.332), multiple cropping index (0.211), and labor force index (0.209) have relatively large and positive impacts on CLIU, while slope (−0.1), precipitation (−0.087), and population urbanization (−0.039) have relatively small and negative impacts; all factors exhibit spatial nonstationarity. The spatial heterogeneity of CLIU in the Beibu Gulf urban agglomeration is characterized by patterns’ nonequilibrium and factors’ nonstationarity. The driving mode of multiple factors on CLIU is manifested as follows: natural factors of cropland utilization provide basic guarantees, internal factors of CLIU provide positive enhancement, and external factors of land intensive utilization provide auxiliary promotion.

Modern contraceptive utilization and associated factors among younger and older married youth women in Ethiopia: Evidence from Ethiopia Mini Demographic and Health Survey 2019.

Utilization of modern contraceptives increases over time but it was still low and varies across ages among married youth woman. This study revealed the prevalence of modern contraceptives and its associated factors among younger and older married youth women. A cross-sectional study design was applied to the sample of EMDHS 2019. Multilevel logistic regressions were carried out using STATA version 16 to identify the individual and community-level factors of modern contraceptive utilization. Adjusted odds ratios with a 95% confidence interval and variables with a p-value < 0.05 were considered to be significant determinants of modern contraceptive utilization. In the EMDHS 2019, a total of 3290 married women between ages 15 and 34 were included. Among these 1210 (36.7%) and 2080 (63%) women, they were age groups of 15-24 and 25-34 years, respectively. Modern contraceptive utilization among women aged 15-24 and 25-34 years was 54.23% and 52.6%, respectively. Injection is a commonly used modern contraceptive method. In this study, factors associated with modern contraceptive utilization among women aged 15-24 years include women who had primary education [AOR = 2.22; 95% CI: 1.02-4.83], who had three or more children in the household [AOR = 14.29; 95% CI: 1.61-126.25], Protestants [AOR = 0.29; 95% CI: 0.14-0.61], five to seven households [AOR = 0.34; 95% CI: 0.17-0.69], and region [AOR = 6.98; 95%:2.30-21.16]. On other hand, factors associated with modern contraceptive utilization among women aged 25-34 were women who had one or two under-five children in the household [AOR = 1.66; 95% CI: 1.03-2.68] and region [AOR = 3.54; 95%CI: 1.79-6.97]. More than 50% of participants used modern contraceptives in both age groups and, the associated factor of modern contraceptive utilization varied among this age group. Health managers and policymakers need to consider age group, region, educational status, religion, and fertility level in planning of family planning program.

Analisa Etika Bisnis Islam Terhadap Praktek Sewa Menyewa Kamar Kost

In general, renting out boarding rooms is a component of the corporate world, which is expanding significantly across all industries. The purpose of this study is to ascertain the regularity of boarding room rentals. Find out how muamalah fiqh analysis relates to the practice of renting daily boarding rooms in Mekar Baru Village, Kota Kisaran Barat District, Asahan Regency is the formulation used in this research. In addition, a review of muamalah fiqh regarding the practice of renting boarding rooms that are still in the first party tenancy period in Mekar Baru Village, Kisaran City District, and a problem formulation regarding the status of boarding room utilization factors during the rental period in Kota Kisaran Barat District, Asahan Regency are addressed in this research Asahan Regency, West.All data or references that have been collected are analyzed and rearranged, and in this case, rental practice uses a descriptive analytical approach. The study's findings suggest that it is against Islamic law and the terms of the ijarah contract for certain locations in Mekar Baru Village, Kota Kisaran Barat District, Asahan Regency, to rent out boarding rooms to outside parties. Practices that take place between the owner and the third-party tenant, or second tenant, do not adhere to the principles, requirements, or aspects of ijarah. Since the original renter still has the right to rent the room, the owner of the boarding room rental should pay the first tenant after being open and honest with them about any transactions they do with other parties.

Cu, Fe, N‐doped Carbon Nanotubes Prepared through Silica Coating for Selective Oxygen Reduction to Water in Acidic Media

AbstractWe report Cu, Fe, N‐doped carbon nanotubes, (Cu,Fe)−N−CNT, as electrocatalysts for the oxygen reduction reaction (ORR) in acidic media. (Cu,Fe)−N−CNT was prepared using a silica coating method in pyrolysis to minimize the formation of carbon‐coated metal oxide or carbide nanoparticles, which are known to be inactive for the H2O2 reduction. (Cu,Fe)−N−CNT shows a turnover frequency of 0.66 e− site−1 s−1 at +0.8 V vs. RHE and H2O2 yields of &lt;1 % for the ORR with a utilization factor of active sites of 82 %. Kinetic analysis reveals that 4e− transfer rates for (Cu,Fe)−N−CNT are higher than those of a monometallic counterpart of Fe−N−CNT. In situ X‐ray absorption spectroscopy enables us to determine redox potentials: E°’(FeIII/FeII)=0.65 V vs. RHE and E°’(CuII/CuI)=0.45 V for (Cu,Fe)−N−CNT, and E°’(FeIII/FeII)=0.65 V for Fe−N−CNT. These results indicate that bimetallic doping into carbon nanotubes gives the effect on kinetic parameters but not on thermodynamic ones. In other words, there is no direct electronic interactions between the Cu and Fe active sites for (Cu,Fe)‐N‐CNT because such interactions should modulate their redox potentials.