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Building integrated photovoltaic thermal (BIPV/T) systems offer a highly effective means of generating clean energy for both electricity and heating purposes in residential buildings. Hence, this article introduces a new BIPV/T system to optimally minimize the energy consumption of a household residential building. The meticulous design of the proposed BIPV/T system is accomplished through MATLAB/Simulink® dynamic modeling. Performance analysis for the BIPV/T system is performed under different seasonal conditions with in-depth techno-economic analyses to estimate the expected enhancement in the thermal, electrical, and economic performance of the system. Moreover, a sensitivity analysis is conducted to explore the impact of various factors on the energetic and economic performances of the proposed BIPV/T system. More so, the two-layer feed-forward back-propagation artificial neural network modeling is developed to accurately predict the hourly solar radiation and ambient temperature for the BIPV/T. Additionally, a multi-objective optimization using the NSGA-II method is also conducted for the minimization of the total BIPV/T plant area and maximization of the total efficiency and net thermal power of the system as well as to estimate the optimized operating conditions for input variables across different seasons within the provided ranges. The sensitivity analysis revealed that higher solar flux levels lead to increased electric output power of the BIPV/T plant, but total efficiency decreases due to higher thermal losses. Moreover, the proposed NSGA-II shows a feasible method to attain a maximum net thermal power and optimal total efficiency of 5320 W and 63% with a minimal total plant area of 32.89 m2 that attained a very low deviation index from the ideal solution. The levelised cost of electricity is obtained as 0.10 $/kWh under the optimal conditions. Thus, these findings offer valuable insights into the potential of BIPV/T systems as a sustainable and efficient energy solution for residential applications.

Herein, we report a novel and powerful approach developed to lower the manufacturing costs of PSCs and make them powerful and cost-effective technology through identifying more efficient and low-cost dopant-free hole-transport materials (HTMs) for PSCs by avoiding the shotgun approach of synthesizing hundreds or thousands of HTMs, fabricate devices and characterize them to identify the best performing candidate(s). With these in mind, the primary objective of this study is to develop a machine learning model extracted from automated-quantitative structure–property relationship (autoQSPR) models that could accurately predict various photovoltaic properties, including power conversion efficiency (PCE), open-circuit photovoltage (VOC), and short-circuit photocurrent (JSC), of dopant-free HTM-based PSCs. High-efficacy AutoQSPR models capable of accurately predicting photovoltaic properties were developed by considering experimental photovoltaic property data sets from dopant-free HTMs used in the fabrication of PSCs with different architectures, e.g., conventional (n–i–p) and inverted (p–i–n), which are fabricated using methyl ammonium lead halides (MALHs) or mixed cation lead halides, were used to develop high efficacy autoQSPR models capable of accurate predictions of photovoltaic properties. The Schrodinger Suite was utilized to build autoQSPR models to predict PCE, VOC, and JSC utilizing different kinds of molecular descriptors such as 2D binary fingerprints, one dimensional (1D), two dimensional (2D), and three dimensional (3D). Notably, 2D binary fingerprint descriptors generate models that outperform 1D, 2D, and 3D molecular descriptors calculated using the well-known PaDEL calculator. The developed autoQSPR models were improved when the PSC configurations were considered and a significant predictive ability (test set Q2 > 0.5) was achieved for all autoQSPR models that involved the use of 2D binary fingerprint descriptors. The model confidence was validated by the utilization of dopant-free HTMs that were not present in the original dataset used to build the models. Furthermore, the most efficient models were used to propose potential HTM candidates to benefit the scientific community and scholars. [ABSTRACT FROM AUTHOR]

Chili fruits are a potential source of phytochemicals and nutrients for food and reconstituted products. Due to its high nutritional and bioactive components, the current study focused on developing chili instant food products employing hot-air drying method. The effect of the hot-air drying method on physicochemical properties, microbiological quality, retention of bioactive components, phytochemicals, antioxidant properties, and sensory quality of green and red chilies reconstitution products were investigated. HPLC quantification unveiled that fresh red chili product had retained the highest capsaicin (2703.14 µg/g) and dihydrocapsaicin (1518 µg/g) content on the 0th day. Furthermore, UPLC-MS confirmed the presence of eleven phenolic compounds such as gallic acid, chlorogenic acid, caffeic acid, syringic acid, p-coumaric acid, protocatechuic acid, trans-cinnamic acid, ferulic acid, catechin, rutin, and quercetin. Among all, ferulic acid (382.91 µg/g) was the most abundant phenolic compound in fresh green chili products, followed by trans-cinnamic acid (73.19 µg/g) in green chili reconstituted and catechin (65.66 µg/g) in green and red chili reconstituted products. The chili products retained reasonable amounts of bioactive components and antioxidants during storage without microbial growth. The correlation analysis revealed a significant correlation between capsaicinoids, phenolic compounds, and antioxidant properties, which are linearly related in green chili products. This study offers manufacturers a cost-effective technology for producing high-quality chili-reconstituted products rich in essential nutrients and health benefits. [ABSTRACT FROM AUTHOR]

Managing defects in agricultural fruit processing is crucial for maintaining quality and sustainability in the fruit market. This study explores the use of edge devices, web applications, and machine vision algorithms to improve defect reporting and classification in the strawberry processing sector. A software solution was developed to utilize edge devices for detecting and managing strawberry defects by integrating web applications and machine vision algorithms. The study shows that integrating built-in cameras and machine vision algorithms leads to improved fruit quality and processing efficiency, allowing for better identification and response to defects. Tested in small organic and conventional strawberry processing enterprises, this solution digitizes defect-reporting systems, enhances defect management practices, and offers a user-friendly, cost-effective technology suitable for wider industry adoption. Ultimately, implementing this software enhances the organization and efficiency of fruit production, resulting in better quality control practices and a more sustainable fruit processing industry. [ABSTRACT FROM AUTHOR]

Purpose: Adding unwanted toxic substances to water and soil degrades the quality of food and nutrients. The main cause of pollution on land and water surfaces is industrial discharge. Heavy metals found in industrial effluents include aluminum (Al), zinc (Zn), lead (Pb), chromium (Cr), arsenic (As), mercury (Hg), and cadmium (Cd). Chromium is considered one of the most perilous, poisonous, and carcinogenic heavy metals among them. The continuous use of these metals causes harm to the agro-biological system. Though the physical and chemical approaches are extremely expensive, ineffective and unsuitable for our environment but still are in use for getting rid of heavy metals. Research Method: The current analysis focuses on existing knowledge in the form of research papers available on google scholar and Scopus, issues associated with chromium pollution, such as its environmental, plant development, and human health toxicity as well as its prompt eradication through ornamental plants with high accumulation potential and contamination acceptance. Findings: There is a necessity for green and cost-effective technology for polluted soil and industrial wastewater. Phytoremediation has been considered the most encouraging and suitable green technique to remove contaminants in recent decades due to its low cost and environmental friendliness. Originality/ Value: Ornamental plants appear to be more viable options than edible crops and therapeutic plants as they provide several benefits, including heavy metal pollution removal, environmental embellishment with revenue generation and rare connection in the food chain. [ABSTRACT FROM AUTHOR]

Cloud computing is a popular, flexible, scalable, and cost-effective technology in the modern world that provides on-demand services dynamically. The dynamic execution of user requests and resource-sharing facilities require proper task scheduling among the available virtual machines, which is a significant issue and plays a crucial role in developing an optimal cloud computing environment. Round Robin is a prevalent scheduling algorithm for fair distribution of resources with a balanced contribution in minimized response time and turnaround time. This paper introduced a new enhanced round-robin approach for task scheduling in cloud computing systems. The proposed algorithm generates and keeps updating a dynamic quantum time for process execution, considering the available number of process in the system and their burst length. Since our method dynamically runs processes, it is appropriate for a real-time environment like cloud computing. The notable part of this approach is the capability of scheduling tasks with asymmetric distribution of burst time, avoiding the convoy effect. The experimental result indicates that the proposed algorithm has outperformed the existing improved round-robin task scheduling approaches in terms of minimized average waiting time, average turnaround time, and number of context switches. Comparing the method against five other enhanced round robin approaches, it reduced average waiting times by 15.77% and context switching by 20.68% on average. After executing the experiment and comparative study, it can be concluded that the proposed enhanced round-robin scheduling algorithm is optimal, acceptable, and relatively better suited for cloud computing environments. [ABSTRACT FROM AUTHOR]

Background. Cancer is one of the leading causes of death globally. The low and middle‐income countries (LMICs) cover a major share of the global cancer burden; however, most of the LMICs including Nepal still lack national cancer control and prevention strategies. Since 1st January 2018, the Nepal Health Research Council (NHRC) started the population‐based cancer registry (PBCR) in urban, suburban, and rural regions to support evidence‐based cancer control intervention in each geographical region. Methods. Data regarding incidence and mortality was collected by the PBCR in Nepal. Indirect and direct methods were used to collect data from health facilities and communities, respectively. Registered cases of incidence and mortality from 1st January 2019 to 31st December 2019 were used. Each case was verified for correctness and duplication followed by residence confirmation via phone call. Guidelines and principles of the International Association of Cancer Registry were followed for the overall registration process including data quality control. Ethical approval was taken from the Ethical Review Board of the NHRC. Result. Age‐adjusted incidence (AAR) and mortality rates in Nepal were found 65.6 and 29 per 100,000 people, respectively. Every 1 in 14 men and 1 in 13 women were at risk of getting, and 1 in 28 men and 1 in 33 women were dying of cancer before age 75 in Nepal. The highest risk was found for lung cancer (1 in 80) followed by stomach and mouth among men, and in women, breast cancer (1 in 76) was the commonest among all followed by lung and cervix. Conclusion. Cancer has been growing as one of the major public health burdens in Nepal. Screening with cost‐effective technology, awareness, and vaccination against HPV should be a government priority including revision of treatment protocols for cancers that have higher mortality to prevent further preventable life loss from malignancies. [ABSTRACT FROM AUTHOR]

Digital elevation models (DEMs), which can provide an accurate description of planetary surface elevation changes, play an important role in scientific tasks such as long-distance path planning, terrain analysis, and planetary surface reconstruction. However, generating high-precision planetary DEMs currently relies on expensive equipment together with complex remote sensing technology, thus increasing the cost and cycle of the task. Therefore, it is crucial to develop a cost-effective technology that can produce high-quality DEMs on the surfaces of planets. In this work, we propose a global attention-based DEM generation network (GADEM) to convert satellite imagery into DEMs. The network uses the global attention mechanism (GAM) together with a multi-order gradient loss function during training to recover precise terrain. The experimental analysis on lunar and Martian datasets not only demonstrated the effectiveness and accuracy of GADEM in bright regions, but also showed its promising reconstruction ability in shadowed regions. [ABSTRACT FROM AUTHOR]

The development of the GPS (Global Positioning System) and related advances have made it possible to conceive of an outdoor positioning system with great accuracy; however, for indoor positioning, more efficient, reliable, and cost-effective technology is required. There are a variety of techniques utilized for indoor positioning, such as those that are Wi-Fi, Bluetooth, infrared, ultrasound, magnetic, and visual-marker-based. This work aims to design an accurate position estimation algorithm by combining raw distance data from ultrasonic sensors (Marvelmind Beacon) and acceleration data from an inertial measurement unit (IMU), utilizing the extended Kalman filter (EKF) with UDU factorization (expressed as the product of a triangular, a diagonal, and the transpose of the triangular matrix) approach. Initially, a position estimate is calculated through the use of a recursive least squares (RLS) method with a trilateration algorithm, utilizing raw distance data. This solution is then combined with acceleration data collected from the Marvelmind sensor, resulting in a position solution akin to that of the GPS. The data were initially collected via the ROS (Robot Operating System) platform and then via the Pixhawk development card, with tests conducted using a combination of four fixed and one moving Marvelmind sensors, as well as three fixed and one moving sensors. The designed algorithm is found to produce accurate results for position estimation, and is subsequently implemented on an embedded development card (Pixhawk). The tests showed that the designed algorithm gives accurate results with centimeter precision. Furthermore, test results have shown that the UDU-EKF structure integrated into the embedded system is faster than the classical EKF. [ABSTRACT FROM AUTHOR]

Naphthalene is one of the priority pollutants in the environment which can effectively managed through bioremediation approach. Here fungal remediation of PAHs may be cost-effective technology. In present research study, biodegradation of naphthalene at varying concentrations in laboratory scale was investigated using Fusarium proliferatum WC416 isolated from refinery effluent. Degradation of naphthalene was computed by high-performance liquid chromatography (HPLC) and gas chromatography -mass spectroscopy (GC–MS). The results show that Fusarium proliferatum WC416 has effectively degraded the naphthalene to salicylamide and salicylic acid. The highest degradation achieved was 83% for the concentration of 100 ppm followed 74% and 63% for the concentration of 250 ppm and 500 ppm respectively. The intermediates confirmed by GC–MS were salicylic acid (m/z identification 138) and salicylamide (m/z identification 137). During the study, fungal growth, COD, pH, and surface tension have been monitored, which show the continuous variation that indicates progressive biodegradation of naphthalene. The qualitative assessment of extracellular enzymes shows positive activity for lipase, manganese peroxidase, and laccase. The present study also assessed the biosurfactant production by fungus which was characterized as sophorolipid in nature. The study suggests that Fusarium proliferatum WC416 would be an efficient degrader of naphthalene for environmental clean-up. [ABSTRACT FROM AUTHOR]

Strut-free retaining walls are an efficient and cost-effective technology for large-scale excavations, but their application at excavation depths of more than 10 m in soft soils has rarely been reported. An innovative multibench retaining system composed of an inclined–vertical framed retaining wall (IVFRW) and a cantilever wall with anchors was used in a 14.7-m-deep excavation in soft clay in Tianjin, China. To analyze the pile–soil interaction considering the influence of the second stepped excavation, indicators were monitored to provide comprehensive measured data. Field measurements included the lateral deflection and vertical displacement of the retaining wall, the ground water level variation, the ground settlement, and the axial force of the piles within the IVFRW. The measured results indicated that the wall displacements and the ground movements caused by the excavations were small in comparison to those of previous projects and empirical formulas. The influence of the second stepped excavation on the soil|structure interaction and its influence on the axial force of the IVFRW were analyzed. The optimal values of the first stepped excavation depth (H1) for different site conditions were further investigated. This case study reports an application of multibench excavation with IVFRW in a 14.7-m excavation in soft soil area. Compared with propped excavations, the multibench excavation with IVFRW has comparable wall deflection while greatly reducing the material consumption and the construction duration. In addition, the amount of pile wall and pile wall length is greatly reduced in comparison to conventional multibench excavations in similar soil condition and excavation depths. This case history provides an economic and efficient strategy for professional engineers to integrate a similar solution in design. During the excavation process, the compressive stress accumulated on the inclined piles within IVFRW restricting the displacement of retaining structure. Due to the second stepped excavation affecting the development of the axial force of the inclined piles, the optimal excavation depth H1/He varies. In engineering design, a width of earth berm should be first determined according to the available workspace. An optimal stepped excavation depth can then be chosen based on this study to achieve the best deformation performance or a minimum material consumption. [ABSTRACT FROM AUTHOR]

In recent years, unmanned aerial vehicles (UAVs) have become a popular and cost-effective technology in urban scenarios, encompassing applications such as material transportation, aerial photography, remote sensing, and disaster relief. However, the execution of prolonged tasks poses a heightened challenge owing to the constrained endurance of UAVs. This paper proposes a model to accurately represent urban scenarios and an unmanned system. Restricted zones, no-fly zones, and building obstructions to the detection range are introduced to make sure the model is realistic enough. We also introduced an unmanned ground vehicle (UGV) into the model to solve the endurance of the UAVs in this long-time task scenario. The UGV and UAVs constituted a heterogeneous unmanned system to collaboratively solve the path-planning problem in the model. Building upon this model, this paper designs a Three-stage Alternating Optimization Algorithm (TAOA), involving two crucial steps of prediction and rolling optimization. A three-stage scheme is introduced to rolling optimization to effectively address the complex optimization process for the unmanned system. Finally, the TAOA was experimentally validated in both synthetic scenarios and scenarios modeled based on a real-world location to demonstrate their reliability. The experiments conducted in the synthetic scenarios aimed to assess the algorithm under hypothetical conditions, while the experiments in the scenarios based on real-world locations provided a practical evaluation of the proposed methods in more complex and authentic environments. The consistent performance observed across these experiments underscores the robustness and effectiveness of the proposed approaches, supporting their potential applicability in various real-world scenarios. [ABSTRACT FROM AUTHOR]

Continued industrial growth along with population growth is putting pressure on clean water supplies. Photocatalysis is an eco-friendly and cost-effective technology that can treat polluted water. As a visible-light-responsive photocatalyst, polymeric carbon nitride (CN) has shown significant potential for photocatalytic pollutant degradation. However, the fast charge recombination, slow charge transport and relatively large band gap restrict its photocatalytic performance. To overcome these challenges and develop a highly efficient photocatalyst, CN with robust visible-light photoactivity was solvothermally synthesised through defect engineering by carbon doping and surface vacancy modification. The additional carbon induces charge delocalization for enhancing charge tranfer and broadens the wavelength range of absorbance. The introduction of surface cyano functionality (–C≡N) not only enhances charge separation but also serves as electron-rich sites, thereby facilitating the generation of superoxide radicals. The controlled introduction of the C dopant and surface cyano group by simply introducing citric acid and varying the LiOH volume during synthesis demonstrated their synergy in optimising the electronic structure and the charge transport. As a consequence, there was a substantial generation of superoxide radicals when exposed to visible light (wavelengths > 420 nm), facilitating the efficient photodegradation of pollutants, such as tetracycline and Rhodamine B. Furthermore, the defect-engineered CN exhibited exceptional performance in the degradation of real-world wastewater. These findings underscore the promising potential of engineered CN for the advancement of visible-light-driven water purification technologies. [ABSTRACT FROM AUTHOR]

Outdoor and indoor atmospheric pollution is one of the major problems that humanity continues to face. As a mitigation pathway, numerous technologies have been developed for air purification, including the use of fibrous filters. In this study, the particle capture efficiencies and pressure drops of air filters manufactured with cellulose pulp extracted from banana pseudostems were studied across three particle size ranges (PM10, PM2.5, and PM1). Two pretreatments were applied, alkaline with soda-antraquinone (alkali-treated pulp) and a subsequent bleaching process (bleached pulp), and four manufacturing processes were tested: crushing, freeze-drying, vacuum filtration, and pressing. In addition, a study varying filter grammage (70, 100, and 160 g·m−2) and pressing pressures (2, 4, 6, and 8 t) was also performed. After conducting these particle tests, the filter manufactured with bleached pulp, having a grammage of 160 g·m−2 and pressed at 4 t, was deemed the optimal individual solution. It demonstrated high particle retention efficiencies across all particle size ranges (with values exceeding 80%), a moderate pressure drop below 1000 Pa, and high thermal stability (degradation above 220 °C). However, combining freeze-drying and two-ton pressing processes yielded improved results (83% for the smallest particles and 89% for others) with approximately half the pressure drop. Based on these results, this study stands as a noteworthy contribution to waste valorization and the advancement of environmentally friendly materials for particle air filters. This is achieved through the adoption of simple and cost-effective technology, coupled with the utilization of 100% natural agricultural waste as the primary manufacturing material. [ABSTRACT FROM AUTHOR]

Carbon sequestration in forests has increasingly captured the attention of scientists as a strategy for climate change mitigation and environmental sustainability. In this era of huge carbon emissions, being a low-carbon and cost-effective technology, the economic analysis of forest carbon sequestration holds higher importance for the successful implementation and intended outcomes. This study elucidates a scientometric view of the research structure and thematic evolution of economic studies on forest carbon sequestration based on 1439 articles over the time slice of 2001–2021. The bibliographic data have been retrieved from the Dimensions database, which accommodates a large coverage of research publications and also provides easy access to essential scholarly data and information. Vosviewer and Biblioshiny software tools have opted for visualisation and evaluation purposes of bibliometric data. This study employs various measures of bibliometric analysis like co-authorship, bibliographic coupling, citation and keyword analysis to find out the principal articles, authors, journals, most frequent keywords and highest publishing countries and institutions in this field, and the results show that the number of publications has escalated substantially in the last five years, the most cited article and most productive author are Popp A, 2017 (305 citations) and André P C Faaij (11 documents), respectively, Bradford's law calculates 21 core journals out of total 503 journals, among which Forest Policy and Economics is at the top, and the most productive country and institution are the USA and University of Florida, respectively. The study also investigates key publishing subject categories, and the number of publications covered under each of the Sustainable Development Goals. The overall outcome of this bibliometric study confers an in-depth understanding of the various dimensions of economic analysis on forest carbon sequestration and its development pattern in the last 21 years and also provides emerging themes for future reference. [ABSTRACT FROM AUTHOR]

Motivation Transcriptomic long-read (LR) sequencing is an increasingly cost-effective technology for probing various RNA features. Numerous tools have been developed to tackle various transcriptomic sequencing tasks (e.g. isoform and gene fusion detection). However, the lack of abundant gold-standard datasets hinders the benchmarking of such tools. Therefore, the simulation of LR sequencing is an important and practical alternative. While the existing LR simulators aim to imitate the sequencing machine noise and to target specific library protocols, they lack some important library preparation steps (e.g. PCR) and are difficult to modify to new and changing library preparation techniques (e.g. single-cell LRs). Results We present TKSM, a modular and scalable LR simulator, designed so that each RNA modification step is targeted explicitly by a specific module. This allows the user to assemble a simulation pipeline as a combination of TKSM modules to emulate a specific sequencing design. Additionally, the input/output of all the core modules of TKSM follows the same simple format (Molecule Description Format) allowing the user to easily extend TKSM with new modules targeting new library preparation steps. Availability and implementation TKSM is available as an open source software at https://github.com/vpc-ccg/tksm. [ABSTRACT FROM AUTHOR]

Purpose: The main purpose of this paper is to investigate drivers and barriers of climate change mitigation strategies (CCMS), their linkages and impact in Indian Iron and Steel Industry (IISI) in light of ninth sustainable development goal (building resilient infrastructure, promote sustainable industrialization and foster innovation). Design/methodology/approach: To identify relevant drivers and barriers, a thorough literature review and opinions of industry experts were obtained. Utilizing Total Interpretive Structural Modeling (TISM), the selected drivers and barriers were modeled separately along with Cross Impact Matrix-multiplication Applied to Classification (MICMAC). Findings: Pragmatic and cost-effective technology, less supply chain complexity, robust policy and legal framework were found to have the highest driving power over all the other drivers. Findings suggest political pressure as the most critical barrier in this study. The results from TISM and MICMAC analysis have been used to elucidate a framework for the understanding of policymakers and achieve top management commitment. Practical implications: This paper will help researchers, academicians, industry analysts and policymakers in developing a systems approach in prioritizing CCMS in energy-intensive (coal dependent) iron and steel plants. The model outcomes of this work will aid operational research to understand the working principles in other industries as well. Originality/value: To the best of authors' knowledge, there is paucity of reported literature for the drivers and barriers of CCMS in iron and steel industry. This paper can be considered a unique, first attempt to use data from developing nations like India to develop a model and explain relationships of the existing drivers and barriers of CCMS. [ABSTRACT FROM AUTHOR]

Germination is a simple and cost-effective technology that enhances the technological, sensory, and nutritional potential of grains, making them more attractive for use in the food industry. Germinating indigenous seeds is an alternative to increase noticeability and add value to these grains, which hold social and economic significance in the regions where they are cultivated, such as creole purple pericarp corn (PPCC) from the Couto Magalhães de Minas region in Brazil. This study aimed to optimize the germination parameters of time (24–96 h) and temperature (18–32 °C) for PPCC to produce water-soluble extracts and bread. Endogenous enzymes resulting from the germination process significantly enhanced (p < 0.10) the technological (total reducing sugars, total soluble solids, and soluble proteins) and biological properties (γ-aminobutyric acid, total soluble phenolic compounds, and antioxidant capacity) of the water-soluble extracts. The optimum point for obtaining the extracts was found to be at 85.3 h at 30.46 °C (with desirability of 90.42%), and this was statistically validated. The incorporation of germinated PPCC flours into bread was also promising (p < 0.10) and had a positive impact on the dough property (dough volume increase) and the final product, especially in terms of instrumental texture (springiness, cohesiveness, gumminess, chewiness, and resilience), resulting in a softer texture (lower firmness and hardness). The addition of PPCC flours did not alter instrumental color parameters, which may lead to greater consumer acceptance due to imperceptible differences in color to untrained individuals, with the optimized point at 96 h at 29.34 °C, with a desirability of 92.60%. Therefore, germinated PPCC shows promise for use as a base for obtaining water-soluble extracts and in bread as a replacement for commercial flour improvers, while also adding value to a raw material that is part of the local culture and agrobiodiversity. [ABSTRACT FROM AUTHOR]

Sea-level rise (SLR) is one of the greatest future threats to mangrove forests. Mangroves have kept up with or paced past SLR by maintaining their forest floor elevation relative to sea level through root growth, sedimentation, and peat development. Monitoring surface elevation change (SEC) or accretion rates allows us to understand mangrove response to SLR and prioritizes resilient ecosystems for conservation or vulnerable ecosystems for restoration. We compared three methods to measure SEC and accretion in mangrove forests: 210Pb, surface elevation tables (SETs), and a terrestrial light detection and ranging system (compact biomass LiDAR—CBL). Lead-210 accretion rates were not significantly different than SET SEC rates and differences between the two methods (− 2 to 2 mm/year) were within the error of our measurements. Lead-210 only measures accretion in the upper meter of sediment and cannot capture deeper subsurface processes (e.g., subsidence, compaction) that SETs can. The lack of differences suggests the following: (1) surface processes in the active root zone are influencing forest floor elevation more than subsurface processes, (2) subsurface processes were not large enough to effect elevation, or (3) the SETs were not installed deep enough to capture subsurface processes. CBL SEC rates did not differ significantly from SET SEC rates. The larger spatial scale of the CBL scans resulted in significantly different SEC rates from some of the plots. This was due to the CBL measuring areas missed by the SET. The greater number of points measured by CBL (~ 30,000 vs 36) increased precision and lowered standard error. The traditional SET/rSET method is currently 3–10 × cheaper than the 210Pb or CBL method, respectively, and can accurately track changes in forest floor elevation. Costs of the use of LiDAR are likely to decrease in the future with the advent of newer and more cost-effective technology. [ABSTRACT FROM AUTHOR]

Anion exchange membrane water electrolyzer (AEMWE) is a potentially cost‐effective technology for green hydrogen production. Although the normal current densities of AEMWEs are below 3 A ⋅ cm−2, operating them at higher current densities represents an efficient, but little‐explored approach to decrease the total cost of hydrogen production. We show here that a benchmark AEMWE has an operational lifetime of only seconds at an ultrahigh current density of 10 A ⋅ cm−2. By using a more conductive and robust AEM, and judicious choices of ionomers, catalyst, and porous transport layer, we have developed AEMWEs that stably operate at 10 A ⋅ cm−2 with extended lifetimes. The optimized AEMWE has an operational lifetime of more than 800 hours, a 5‐order magnetite improvement over the current benchmark. The cell voltage is only 2.3 V at 10 A ⋅ cm−2, comparable to those of the state‐of‐the‐art devices operating at current densities lower than 3 A ⋅ cm−2. This work demonstrates the potential of ultrahigh current density AEMWEs. [ABSTRACT FROM AUTHOR]

Partial nitritation-anammox (PN/A) is a cost-effective technology in high ammonia–nitrogen wastewater treatment. However, PN/A is prone to instability as the ammonia–nitrogen sharply fluctuates. In this study, a packed bed reactor is employed to construct a single-stage PN/A system to investigate the operational characteristics and explore the denitrification mechanism. The effluent NH4+-N concentration, ammonia nitrogen removal rate (ARE), and total nitrogen removal rate (TNR) could be sustained at about 60 mg/L, 80%, and over 70%, respectively, when the influent nitrogen load rate (NLR) is changed from 0.733 to 0.879 kg-N/m3/day. Both ARE and TNR are decreased when NLR continues increasing to 1.026 kg-N/m3/day. The influent NLR decreases from 0.879 to 0.147 kg-N/m3/day, and ARE and TNR reached 98% and 85.4%, respectively. Therefore, the denitrification effect of the reactor could be recovered, and the excellent nitrogen removal capacity could be obtained within a wide range of influent NLR. Moreover, the high-throughput sequencing and metagenomic testing indicate that the Proteobacteria and Planctomycetes that the PN/A functional strains (i.e., ammonia-oxidizing bacteria (AOB) and anammox bacteria (AnAOB)) account for 38.8% in the sludge. The relative abundance of Nitrospira containing the nitrite-oxidizing bacteria (NOB) has dropped to 0.01%, and the functional gene nxr of the nitrite oxidation process is also inhibited. The relative expression of the functional gene is dominated by the short-range nitritation and anammox oxidation, which demonstrates that the nitrogen removal is mainly dominated by nitritation-anammox. [ABSTRACT FROM AUTHOR]

Modern heavy duty industrial gas turbines in combined cycle configuration, with rated efficiencies (at ISO base load) above 60% net LHV, are expected to play a significant role in reducing the carbon footprint of utility scale electricity generation. Even without postcombustion capture (PCC), simply switching from coal-fired generation to natural gas-fired generation reduces carbon dioxide emissions by 60% (on a kg per MWh of generation basis). In simple cycle mode, with efficiencies above 40% net LHV and startup times around 20 min, 300-400+ MW gas turbines can easily serve as peakers to support variable renewable resources, i.e., wind and solar. In this paper, a close quantitative look is taken at the capabilities of gas turbines firing natural gas, hydrogen, or a blend thereof, both in simple and combined cycle configurations. Furthermore, using published data, first-principles calculations, and software simulations, it will be shown that the gas turbine constitutes an efficient and cost-effective technology, with and without carbon capture, as a key player in decarbonization of the electric power sector. [ABSTRACT FROM AUTHOR]

Green hydrogen is typically produced by water electrolysis. In this process, water is split into hydrogen and oxygen by an electric current. Different technologies exist to produce hydrogen by electrolysis, including the four best recognized: Anion Exchange Membrane (AEM), Solid Oxide Electrolysis Cell (SOEC), Polymer Electrolyte Membrane (PEM) and Alkaline Water Electrolysis (AWE). While the latter two are commercially available, SOEC shows promise for efficient hydrogen production, and AEM combines advantages from both AWE and PEM systems. However, the most mature technology remains the most mature and cost-effective technology for industrial and large-scale hydrogen production. This review provides a comprehensive overview of recent advances in alkaline water electrolysis (A-WE) for hydrogen production, including a comparative assessment of the four commonly used electrolysis technologies. The paper covers the current status, recent research advances, and commercialization challenges of A-WE technology, offering insight into its potential and outlining future research directions. • The paper comprehensively assesses A-WE, PEM, SOEC, and AEM technologies for green hydrogen production. • Alkaline Water Electrolysis (A-WE) is the most cost-effective and mature technology for large-scale hydrogen production. • A-WE's limitations include low current density, corrosivity, gas permeation, slow response, and sensitivity to impurities. • Advanced materials, optimized electrolytes, membranes, and innovative electrode designs enhance A-WE performance. • A-WE market saw 6.5% CAGR growth, driven by sustainable energy demand despite supply chain and geopolitical challenges. [ABSTRACT FROM AUTHOR]

Nowadays, in the bioethanol production process, improving the simplicity and yield of cell wall saccharification procedure represent the main technical hurdles to overcome. This work evaluated the application of a rapid and cost-effective technology such as near -infrared spectroscopy (NIRS) for easily predict saccharification efficiency from corn stover biomass. Calibration process focussing on the number of samples and the genetic background of the maize inbred lines were tested; while Modified Partial Least Squares Regression (MPLS) and Multiple Linear Regression (MLR) were assessed in predictions. The predictive capacity of the NIRS models was mainly determined by the coefficient of determination (r2ev) and the index of prediction to deviation (RPDev) in external validation. Overall, we could check a better efficiency of the NIRS calibration process for saccharification using larger number of observations (1500 sample set) and genetic backgrounds; while MPLS regression provided better prediction statistics (r2ev = 0.80; RPDev = 2.21) compared to MLR (r2ev = 0.68; RPDev = 1.75). These results indicate that NIRS could be successfully implemented as a large-phenotyping tool in order to test the saccharification potential of corn biomass. Highlights: • NIRS could be successfully implemented as a large-phenotyping tool in order to test the saccharification potential of corn biomass. • NIRS wavelengths noted provide information about associated chemical components interfering in the saccharification potential. • The best efficiency in the NIRS calibration process was obtained using larger number of observations (1500 samples) and genetic backgrounds. • MPLS regression model is the most reliable for NIRS prediction of corn saccharification. [ABSTRACT FROM AUTHOR]

Capacitive deionization is an efficient and cost-effective technology for ion removal from brackish water. Here, we demonstrate a sulfonatefunctionalized covalent organic framework as a novel faradaic cathode material for capacitive deionization applications. Due to its orderly arranged adsorption units in the covalent organic framework, the resulting covalent organic framework demonstrates a superior sodium cations removal capacity of 19.56 mg g-1 and a maximum desalination rate of 3.15 mg g-1 s-1 in a 500 ppm NaCl solution at 1.2 V. [ABSTRACT FROM AUTHOR]

The recent health crisis has challenged the resilience of small and medium-sized enterprises (SMEs), leading to the adoption of organizational flexibility practices and cost-effective digital technologies to navigate through constraints imposed by restrictions and lockdowns. Applying insights from the Practice-based view and evolutionary theory, we demonstrated that these novel practices contribute to the evolution of supply chain resilience, enhancing its performance. Furthermore, aligning with a transformative supply chain mindset, our study emphasized the importance of incorporating organizational well-being into the ongoing evolution of supply chain resilience. Employing a survey as the research strategy, we focused on SMEs as the unit of analysis in the UK and France, allowing the comparison of the proposed resiliency framework between the two countries. [Display omitted] • Supply chain resilience positively impacts social and environmental performance. • Organizational well-being positively impacts social performance and resilience. • Supply chain resilience and organizational well-being practices evolve over time. • Comparison between the UK/France regarding resilience, well-being, and performance. • We used a transformative supply chain, practice-based view, and evolutional theory. [ABSTRACT FROM AUTHOR]

CRM197 (Cross Reacting Material 197) is an inactive form of the C. diphtheriae exotoxin used as a carrier protein for the development and production of conjugated polysaccharide vaccines and immunotherapeutic drugs. However, the development of these research areas is not possible without an efficient and cost-effective technology to produce CRM197 of the proper quality. In this study, we developed a highly efficient method to produce recombinant CRM197 as a fusion with SUMO protein, yielding more than three grams per liter in the form of inclusion bodies. We examined the significant effect of the type of expression vector, the heterologous gene expression conditions, and cultivation on its solubility. Using a combination of reduced cultivation temperature and the promoter of the gene encoding the heat shock protein CspA, we achieved an increase in the solubility level of SUMO-CRM197 of more than 30%, with an overall biosynthesis level of more than two grams per liter. Coexpression of the target gene with the DsbC disulfide isomerase gene allowed us to obtain the target protein completely in the soluble state with a yield of more than 1.4 grams per liter. The results obtained may become the basis for the development of a promising domestic technology for the production of CRM197. [ABSTRACT FROM AUTHOR]

Horticulture plays a pivotal role in providing livelihoods, nutrition, and economic growth. However, post‐harvest losses due to inadequate storage facilities and practices remain a significant issue. The storage of horticultural produce involves developing and adopting sustainable, cost‐effective solutions tailored to the unique challenges of resource‐constrained environments. Despite the availability of refrigeration and cold storage facilities, their energy‐intensive and expensive nature renders them inaccessible to many. To tackle this problem, a solar‐assisted evaporative cool chamber (ECC) with a storage capacity of 250 kg was designed. It is powered by a 200 W solar panel, a 150 Ah battery with a charge controller, a 9 W water pump, and two 7.4 W exhaust fans. Extensive performance evaluation optimized water flow rates, air velocities, and pad materials, leading to a significant temperature drop of 14.9°C and a 64.3% humidity increase with 98.48% saturation efficiency, achieved with a water flow rate (6 L/min), air velocity (4 m/s), and honeycomb pad material. The inclusion of a thermoelectric Peltier module further lowered the temperature to 17.0°C and raised humidity to 70.1% within the ECC. Storage studies with four fruits (bananas, apples, papayas, and oranges) and four vegetables (tomatoes, okras, brinjals, and cucumbers) demonstrated that products stored inside the ECC remained marketable for an additional 4–15 days, nearly doubling their shelf life compared with ambient conditions. An economically viable ECC solution effectively addresses the needs of hot climate regions, providing a valuable solution for post‐harvest preservation. Practical applications: Horticulture is crucial for livelihoods, nutrition, and economic growth that face challenges in post‐harvest losses due to inadequate storage facilities. Traditional refrigeration solutions are often inaccessible in resource‐constrained environments. To address this, a solar‐assisted evaporative cool chamber (ECC) with a 250 kg storage capacity was designed and evaluated for performance. The solar‐assisted ECC presents a practical and cost‐effective technology with the potential to significantly improve post‐harvest management, empower small‐scale farmers, and promote sustainable food systems, particularly in resource‐constrained environments. [ABSTRACT FROM AUTHOR]

Photocatalytic hydrogen production from water splitting is an environmentally friendly and cost‐effective technology to achieve green hydrogen. In recent years, bimetallic sulfides (BMS) have been considered as promising candidates compared to monometallic sulfides due to the tunable energy band structure, higher number of active sites, and good chemical stability, resulting in high performance of photocatalytic hydrogen production. Herein, recent progress of BMS in photocatalytic hydrogen production has been addressed comprehensively. First, two commonly employed methods for synthesizing BMS with tailored morphological characteristics are discussed and compared. Then, the main functions of BMS are unraveled to aid in promoting photocatalytic hydrogen evolution performance intrinsically. Detailed applications of BMS both as a single photocatalyst and in heterojunction composite systems of three typical categories with unique properties and catalytic performance are summarized, focusing on their charge transfer behaviors and hydrogen production performance. In the end, research trends and prospects of BMS‐based photocatalysts are also proposed. This review is believed to unveil new advances and features of BMS‐based nanomaterials toward practical benefits and future research for highly efficient and robust photocatalytic H2 generation catalysts. [ABSTRACT FROM AUTHOR]

This current study explored the effect of pyrite on the treatment of chlorophenolic compounds (CP) by Fenton process with micron-sized zero-valent iron (ZVI) as the catalyst. The experiments were conducted in batch reactors with 100 mg L−1 CP, 0–0.02 M H2O2, and variable pyrite and ZVI doses (0–1 g L−1). Our findings show that while the reactor with 1 g L−1 ZVI as the only catalyst achieved only 10% CP removal efficiency due to rapid ZVI surface passivation and ZVI particle aggregation, the CP removal efficiency increased with increasing pyrite dose and reached 100% within couple of minutes in reactors with 0.8 g L−1 pyrite and 0.2 g L−1 ZVI. The CP removal was mainly driven by the oxidative treatment of CPs with some strong radicals such as hydroxyl radicals (•OH) while the adsorption onto the catalyst surface was only responsible for 10 to 25% of CP removals, depending on the type of CP studied. The positive impact of pyrite on CP removal by the ZVI/H2O2 system could be attributed to the ability of pyrite to (1) create an acidic environment for optimum Fenton process, (2) provide support material for ZVI to minimize ZVI particle agglomeration, and (3) stimulate iron redox cycling for improved surface site generation. Following oxidative Fenton treatment, the degradation intermediate products of CPs, including some aromatic compounds (benzoquinone, hydroquinone, etc.) and organic acids (e.g., acetic acid), became more biodegradable in comparison to their mother compounds. Overall, the treatment systems with a mixture of ZVI and pyrite as catalyst materials could offer a suitable cost-effective technology for the treatment of wastewater containing biologically non- or low-degradable toxic compounds such as chlorophenols. [ABSTRACT FROM AUTHOR]

Synthetic oligonucleic acids known as aptamers exhibit remarkable selectivity and affinity for target recognition and binding. Selected via an iterative process known as “selective evolution of ligands by exponential enrichment” (SELEX), aptamers fold into defined 3D conformations to interact with their targets. The incorporation of aptamers as recognition elements has driven notable progress in biosensors, giving rise to the development of aptasensors. Here, the process of aptamer discovery and the development of various types of aptasensors are summarized. The fundamental design principles of aptasensors are elaborated along with the superiority of aptamers compared to antibodies. The various modes employed by aptasensors, such as structure‐switching design, hybridization chain reaction amplification, enzyme‐assisted recycling, and split aptamer design are examined. Further light is shed on the diverse landscape of aptasensors, their adaptability to different analytes aptasensors as well as their potential to propel advancements in modern biosensor technology. As a nucleic acids‐based biosensor platform, aptasensors poise to become a next generation of sensitive and cost‐effective technology to shape the future of molecular recognition in biosensing. [ABSTRACT FROM AUTHOR]

Using a blind insertion technique to insert small-bore feeding tubes can result in inadvertent placement in the lungs, leading to lung perforation and even mortality. In a Magnet-designated, 500-bed, level 2 trauma center, two serious patient safety events occurred in a four-week period due to nurses blindly inserting a small-bore feeding tube. A patient safety event review team convened and conducted an assessment of reported small-bore feeding tube insertion events that occurred between March 2019 and July 2021. The review revealed six lung perforations over this two-year period. These events prompted the creation of a multidisciplinary team to evaluate alternative small-bore feeding tube insertion practices. The team reviewed the literature and evaluated several evidence-based small-bore feeding tube placement methods, including placement with fluoroscopy, a two-step X-ray, electromagnetic visualization, and capnography. After the evaluation, capnography was selected as the most effective method to mitigate the complications of blind insertion. In this article, the authors describe a quality improvement project involving the implementation of capnography-guided small-bore feeding tube placement to reduce complications and the incidence of lung perforation. Since the completion of the project, which took place from December 13, 2021, through April 18, 2022, no lung injuries or perforations have been reported. Capnography is a relatively simple, noninvasive, and cost-effective technology that provides nurses with a means to safely and effectively insert smallbore feeding tubes, decrease the incidence of adverse events, and improve patient care. [ABSTRACT FROM AUTHOR]

Copyright of Advances in Biochemistry / Postepy Biochemii is the property of Polish Biochemical Society / Acta Biochimica Polonica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: The microbial fuel cell (MFC) is a potential cost‐effective technology for the energy‐neutral treatment of wastewater. However, the successful implementation of this technology in resource recovery is still limited. In this study, a microbial electrochemical cell was designed and operated for 30 days. Critical factors for removal and recovery of nitrogen and phosphorus as struvite from wastewater were assessed. RESULTS: Optimization studies on critical factors such as the chemical oxygen demand (COD) of wastewater (500–2000 mg L−1) and cathode aeration rate (45–135 mL min−1) were conducted using a pure culture of Escherichia coli. The system yielded an average power density of 465 mW m−2, average current density of 915 mA m−2 and phosphorus recovery at an extent of 40% as struvite. Additionally, a maximum reduction in the COD of 90% with an average coulombic efficiency of about 82% was obtained at a short interval of 30 days. Solubility studies of the recovered struvite for 12 h at different pH values from 4.5 to 9 showed a maximum solubility of 80% at pH 4.5 and a minimum of 3.5% at pH 9. CONCLUSION: This study moves one step closer to applying MFC technology for nitrogen‐ and phosphorus‐rich wastewater treatment with concurrent struvite precipitation and electricity production. In this way, Sustainable Development Goals 2, 6 and 7 can be achieved through resource recovery, clean water and bioenergy. © 2024 Society of Chemical Industry (SCI). [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas & Oil is the property of Editorial Department of Natural Gas & Oil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The selective catalytic reduction of NOx by CO (CO‐SCR) holds considerable promise as a simple and cost‐effective technology capable of concurrently removing CO and NOx from mobile and stationary sources. This is especially pertinent for industry sectors with high CO emissions, such as the iron and steel industry, making CO‐SCR an attractive solution with significant industrial applicability. However, despite the promising industrial potential of CO‐SCR technology, its widespread adoption is hindered by several factors, most notably the impacts of SO2, H2O, and O2 on catalyst performance and stability. Current research on these limiting factors is not exhaustive, posing challenges for the comprehensive industrial implementation of CO‐SCR technology. Therefore, this review paper focuses on the variables impeding the industrial utilization of CO‐SCR, summarizing existing bottlenecks and emphasizing the urgent need to address the inhibitory effects of O2 on the CO‐SCR reaction, a critical issue in contemporary research. This review aims to clearly articulate the key challenges of CO‐SCR technology and provide direction for future research. [ABSTRACT FROM AUTHOR]

The long-term mitigation of human–domestic animal–wildlife conflicts is complex and difficult. Over the last 50 yr, the primary biomedical concepts and actualized collaborative global field applications of oral rabies vaccination to wildlife serve as one dramatic example that revolutionized the field of infectious disease management of free-ranging animals. Oral vaccination of wildlife occurred in diverse locales within Africa, Eurasia, the Middle East, and North America. Although rabies is not a candidate for eradication, over a billion doses of vaccine-laden baits distributed strategically by hand, at baiting stations, or via aircraft, resulted in widespread disease prevention, control, or local disease elimination among mesocarnivores. Pure, potent, safe, and efficacious vaccines consisted of either modified-live, highly attenuated, or recombinant viruses contained within attractive, edible baits. Since the late 1970s, major free-ranging target species have included coyotes (Canis latrans), foxes (Urocyon cinereoargenteus; Vulpes vulpes), jackals (Canis aureus; Lupulella mesomelas), raccoons (Procyon lotor), raccoon dogs (Nyctereutes procyonoides), and skunks (Mephitis mephitis). Operational progress has occurred in all but the latter species. Programmatic evaluations of oral rabies vaccination success have included: demonstration of biomarkers incorporated within vaccine-laden baits in target species as representative of bait contact; serological measurement of the induction of specific rabies virus neutralizing antibodies, indicative of an immune response to vaccine; and most importantly, the decreasing detection of rabies virus antigens in the brains of collected animals via enhanced laboratory-based surveillance, as evidence of management impact. Although often conceived mistakenly as a panacea, such cost-effective technology applied to free-ranging wildlife represents a real-world, One Health application benefiting agriculture, conservation biology, and public health. Based upon lessons learned with oral rabies vaccination of mesocarnivores, opportunities for future extension to other taxa and additional diseases will have far-reaching, transdisciplinary benefits. [ABSTRACT FROM AUTHOR]

This study proposes using date palm biomass to remove emerging industrial contaminants, such as 2,4,6-Trichlorophenol (2,4,6-TCP) from water, promoting sustainable waste utilization and a more cost-effective technology. To investigate the potential of using raw date palm fiber and Triethylamine-modified date palm fibers (RDPF and TEA-MDPF) for 2,4,6-TCP removal in batch adsorption experiments. The residual concentration of 2,4,6-TCP in the effluents was examined using UV-visible spectroscopy. The structural and chemical composition of the raw and modified biomass materials was determined using various techniques, including BET, FTIR, Elemental analyzer (CHN), Particle size analysis, FESEM-EDX, and TGA analysis. The optimal pH for the highest 2,4,6-TCP uptake capacity in batch equilibrium adsorption studies was found to be 2.0 for RDPF and 6.0 for TEA-MDPF biomass. The sorption kinetics of 2,4,6-TCP onto both adsorbents was excellent, designated by the pseudo-second-order (R² = 0.93-0.99) and Elovich models (R² = 0.86-0.97). This indicates that adsorption was regulated by chemisorption. The results of the experiment exhibited a good correlation (R²) between the PSO and the maximum (qm) uptake capacities of the Langmuir isotherm model for the remediation of 2,4,6-TCP from aqueous media, which was 115.50 mg/g and 191.75 mg/g for RDPF and TEA-MDPF, respectively. TEA-MDPF biomass exhibits superior adsorption capacity compared to RDPF, making it a promising candidate for the remediation of 2,4,6-TCP from aqueous contaminated wastewater. [ABSTRACT FROM AUTHOR]

Remote patient monitoring (RPM) of patients treated with automated peritoneal dialysis (APD) at home allows clinicians to supervise and adjust the dialysis process remotely. This study aimed to review recent scientific studies on the use of RPM in patients treated with APD and based on extracted relevant data assess possible clinical implications and potential economic value of introducing such a system into practice in Poland. A systematic literature review was performed in the MEDLINE, EMBASE, and Cochrane databases. The model of clinical effects and costs associated with APD was built as a cost-effectiveness analysis with a 10-year time horizon from the Polish National Health Fund perspective. Cost-effectiveness analysis compared 2 strategies: APD with RPM versus APD without RPM. Thirteen publications assessing the clinical value of RPM among patients with APD were found. The statistical significance of APD with RPM compared with APD without RPM was identified for the main clinical outcomes: frequency and length of hospitalizations, APD technique failure, and death. An incremental cost-effectiveness ratio was equal to €27 387 per quality-adjusted life-year. The obtained incremental cost-effectiveness ratio is below the willingness-to-pay threshold for the use of medical technologies in Poland (€36 510 per quality-adjusted life-year), which means that APD with RPM was a cost-effective technology. RPM in patients starting APD is a clinical option that is worth considering in Polish practice because it has the potential to decrease the frequency of APD technique failure and shorten the length of hospitalization. • To the best of our knowledge, our work is the first cost-effectiveness analysis of using the newest remote patient monitoring (RPM) in automated peritoneal dialysis in Poland. • It presents an assessment of the clinical effects of the latest research for RPM and an estimate of the costs and resource utilization of the currently used technologies and the new RPM in dialysis from the perspective of the Polish National Health Fund. • Our results show cost-effectiveness of the new RPM, and policymakers take this aspect into account. • Poland is one of the leaders in introducing new policies into practice in healthcare in Central and Eastern Europe; therefore, our research can give valuable information to any other local policymakers, in Europe and other countries. [ABSTRACT FROM AUTHOR]