Economical Method Research Articles

THE EFFECT OF DEGREASING TEMPERATURE ON THE THICKNESS OF THE FORMED LAYER CREATED BY CATAPHORETIC PAINTING

The article investigates the impact of degreasing temperature in the degreasing mixture PRAGOLOD 57N on cataphoretic painting using design of experiments (DoE). Key technological factors such as degreasing deposition time, concentration, cataphoretic deposition time, and voltage are examined for their effect on the thickness of the formed anti-corrosion layer. Cataphoretic painting, an economical and eco-friendly method, is widely used for treating metal parts in automotive and engineering industries. The study involves testing 88 samples, with thickness measurements taken via Elcometer 456C according to the ISO standards and graphical analysis performed using statistical software to optimize the process.

Zn-Modified TiO2 Thin-Films for Real-Time Formaldehyde Sensing at Room Temperature

Abstract This study explores the fabrication and application of zinc-modified titanium dioxide (Zn-TiO2) thin-films for real-time recognition of volatile organic compounds (VOCs), with a particular emphasis on formaldehyde (HCHO) sensing at room temperature. The Zn-TiO2 thin-films were produced using an economical spray-pyrolysis method. Structural, morphological, and optical characterizations confirmed the successful integration of zinc with varied Wt.% (0, 2, 4, and 6) into the TiO2 lattice. The real-time monitoring capabilities of the sensors were assessed against a range of VOCs, highlighting its specificity for formaldehyde detection amidst diverse environmental constituents. The fabricated thin film sensors with zinc dopant were optimized to enhance the sensor's performance. 4 Wt.% Zn-TiO2 demonstrated excellent sensitivity to formaldehyde vapor at ambient conditions, showcasing a rapid and selective response. The underlying sensing mechanism was explored, emphasizing the role of zinc doping in tailoring the material's surface properties and facilitating enhanced adsorption of formaldehyde molecules. The study underscores the potential of Zn-modified TiO2 thin films as a reliable and efficient platform for real-time VOC monitoring, with a specific focus on HCHO sensing at room-temperature. The sensor shows remarkable stability and repeatability, making it a promising candidate for continuous monitoring applications.

Pathways in the governance of shipping decarbonization from perspective of balancing the conflicting interests

The shipping industry is featured by high carbon emissions. The 2023 IMO Strategy on Reduction of GHG Emissions from Ships sets forth the global goals of shipping decarbonization. Shipping decarbonization involves complicated issues of economy, technology, policy and law etc., and implies the conflicts between economic interests and environmental interests, between individual interests and public interests, between individual States’ interests and international common interests and between current interests and long-term interests. This research suggests that balancing such conflicting interests need to follow the principle of prioritizing the international public environmental interests while taking into account the other interests because protection of environmental interests should be taken as the basic value orientation in shipping decarbonization governance and the principle of collaborating governmental intervention and market mechanisms by reference to the theory on the relationship between government and market in economics. Under the guidance of these principle, by reference to the equilibrium analysis method in economics and following the progressive decision theory in management, this research demonstrates that the main pathways in achieving such balance may include: making strategic plan and basic policy for reducing GHG emissions from ships by the government, implementing economic incentive policies such as tax incentives and fiscal subsidies, implementing ship energy efficiency measures, prudently implementing shipping carbon emissions trading mechanism, accelerating the establishment of alternative marine fuel supply chain, innovating alternative marine fuel technology and ship propulsion technology, and actively engaging in international cooperation.

DDEL-18. OPTIMIZED METHOD TO QUANTIFY TTFIELDS-INDUCED PERMEABILIZATION OF CELL MEMBRANES

Abstract Tumor Treating Fields (TTFields) therapy is FDA-approved for glioblastoma. Using plate-based readouts of FITC-dextran fluorescent probes in U87 human glioblastoma cells, we previously reported increased uptake of FITC-dextrans (4-20kDa) post-TTFields exposure. However, this approach is unable to distinguish FITC-dextran uptake in live-vs-dead cells post-TTFields exposure. We demonstrate flow cytometry (FC) as a more robust and economical method to quantify the amount of FITC-dextrans entering the cells. We first identified the optimal [FITC-dextran] for the FC-based approach (titration 0-6.5mg/mL). Cells were then seeded onto coverslips and exposed to 200kHz TTFields, 1-3V/cm peak-to-peak (inovitro systemTM, Novocure), or no-TTFields (control), for 24-72h. Cells were harvested and stained for 1h using 4kDa or 20kDa FITC-dextrans. Cells were washed and analyzed by FC for mean±SD fluorescence intensity, and compared by unpaired t-test. Dead cells were excluded using propidium iodide staining. In the control vs. TTFields group, 4kDa FITC-dextrans had significantly increased uptake at 24h (4.9±0.3 vs. 8.0±1.7, p=0.01), 48h (6.5±0.2 vs. 8.3±1.0, p=0.01), and 72h (5.7±0.3 vs. 8.8±1.0, p=0.001). Likewise, in the TTFields group, the 20kDa FITC-dextrans had significantly increased uptake at 24h (5.6±0.3 vs. 7.5±0.9, p=0.006), 48h (4.8±0.3 vs. 6.6±0.8, p=0.006), and 72h (5.3±0.2 vs. 11.3±2.6, p=0.004). In the TTFields group, the 20kDa FITC-dextrans had significantly increased uptake between the 24h and 72h timepoints (p=0.03). The FC-based method utilized 0.36mg of FITC-dextrans/sample, much less compared to the 1-3mg recommended for plate-based methods. Another advantage of the FC-based method was exclusion of the dead cell population after TTFields exposure. We validated a FC-based-method that is economical and can reproducibly quantify the membrane permeabilization induced by TTFields. Compared to control conditions, TTFields increase membrane permeabilization of cells that remain alive after TTFields exposure, in a time-dependent manner for the 20kDa probe.

A Validated Trigonelline-Based Method for the Standardization and Quality Control of Trigonella foenum-graecum L.

Background Fenugreek, or Trigonella foenum-graecum L, is an edible and medicinal plant of the Fabaceae family. Fenugreek seeds contain a variety of phytochemicals, including proteins, lipids, amino acids, vitamins, flavonoids, steroidal saponins, coumarin, and alkaloids. Trigonelline TG is a bioactive plant alkaloid initially extracted from fenugreek seeds. A substantial portion of fenugreek’s health benefits may rely on the presence of TG. This study addresses the research gap for a fast, green, and economical method for quantifying trigonelline (TG) in fenugreek. Methods Fenugreek seeds from various origins were extracted using three green solvents: acetone (ACt), ethanol (EtOH), and water (H2O). The UPLCMSMS method was developed and validated using a green mobile phase of H2O: EtOH, and an r2-value of 0.999 in the linearity range of 0.1-500 ppb was adopted. The method was validated with an accuracy of 98.6% for trace analysis of TG using a small amount (10 mg) of fenugreek samples from five different origins. Results The average extract yield (±SD) was 5.36±6.3, with the highest extract yield observed in H2O. The ESI (+ve) of the UPLCMSMS resulted in the fragmentation pattern (m/z) 138→94.10→92.05→78.20. The TG quantification revealed an average TG concentration of 181.4, with the highest amount of TG in H2O extract (392.7±132.4 ppb), followed by EtOH (91.9±83.3 ppb) and ACt (59.5±30.9 ppb). The TG amount observed in the validation step substantiated the efficiency and reproducibility of the developed method. Conclusions The method may be used as an effective tool for a green, rapid, economical, and eco-friendly extraction and quantification of TG in diverse matrices of pharmaceutical, cosmeceutical, herbal, and food products.

Synthesizes, characterization, molecular modelling studies and bioactivity of a novel bicyclic compound of δ-lactam with oxazepine ring containing-sulphur substitute using an economic method

Synthesizes, characterization, molecular modelling studies and bioactivity of a novel bicyclic compound of δ-lactam with oxazepine ring containing-sulphur substitute using an economic method

Review on the Application of Living PSA in Nuclear Power

With the increasing standards of safety management in nuclear power plants, Living Probabilistic Safety Assessment (Living PSA) technology has begin to play an increasingly important role in their operation. This paper aims to provide an overview of the application and development of Living Probabilistic Safety Assessment (Living PSA) technology in nuclear power plant safety monitoring and risk assessment, examining the key technologies and future challenges. Initially, we summarize the current safety needs in regard to nuclear power, examine the policy on configuration risk management technology for nuclear power plants, and outline its importance and development process in nuclear power plant safety management. Subsequently, we discuss the basic principle of Living PSAs and the working method of risk monitoring based on Living PSAs, including information monitoring data collection, online identification, real-time model updating, and risk calculation. Within the Living PSA framework, model development is not merely about creating a theoretical or static representation; it is a dynamic and ongoing process that involves a deep understanding and precise simulation of the behavior of nuclear power plant systems and components. This represents the main research efforts in Living PSAs at present. Additionally, this paper identifies the key technologies of Living PSAs in an in-depth manner, such as the reliability-model-updating technology and model building in dynamic reliability analyses, including the fault tree model, multi-layer flow model, GO-FLOW model etc. The paper lists the work of some scholars in this area in recent years, which helps readers and researchers to clearly understand the current progress of Living PSA technologies in terms of model establishment and updating. Finally, the paper summarizes the challenges and future development of Living PSA and emphasizes the possible problems in data quality, human factor engineering, and the development of Living PSA technologies in the future. In the future, Living PSAs will provide more solid support for the realization of safer and more economical methods of operating nuclear power plants.

Density adaptive path based on stacked rotation convolution model in ultra-precision robotic optical polishing

Deterministic optics fabrication using sub-aperture tools has been vital for manufacturing precision optical surfaces, industrial robotic polishing, which is a more economical and intelligent method is required in modern fabrication process. However, the challenge of robotic polishing lies in the widely used spiral and raster paths, which may leave excess waviness from the tool path, and the unavoidable constant removal layer is added to obtain positive dwell time which cause low polishing accuracy. The waviness can be removed by either using smoothing tools sequentially or randomizing the tool path. However, process efficiency and accuracy are not well considered in the existing tool-path planning. A density adaptive path based on a stacked rotation convolution model to ensure polishing accuracy and efficiency while avoiding waviness generation is proposed in this study, and then the dwell time is calculated by anti-aliasing space-variant deconvolution. The robotic polisher experimental results confirm that the root mean square (RMS) of the final surface figure has been successfully reduced and stabilized at 7.355 nm, and the convergence effect at unit wavelength has been significantly augmented with an improvement of 367%, reducing the measurement from 28% to 131%; in addition, no obvious mid-spatial frequency (MSF) peak was generated in the PSD analysis of density adaptive path polishing results. Henceforth, the polishing accuracy, efficiency, and MSF error of robotic polishing can be greatly enhanced.

Low-carbon economic optimization strategy for industrial loads in parks considering source-load-price multivariate uncertainty

A low-carbon economic optimization method is proposed for industrial loads in parks considering multivariate uncertainty. Model of dynamic load node carbon intensity is proposed considering the uncertainty of clean energy and dynamic conventional units carbon intensity based on system currents. The robustness is improved based on multi-interval uncertainty set. The gap is filled by hybrid copula model with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) prices in the uncertainty model. The GARCH is used to built the marginal distribution function of prices, and a hybrid copula model is proposed to obtain the joint probability density function based on the weights calculated by Euclidean distance. The LNCI probability distributions of the regulation potential of loads are proposed with the virtual energy storage and the virtual power model to improve the descriptive ability of uncertainty based on the expansion and contraction functions. Finally, the typical scenarios are extracted based on Monte Carlo and Wasserstein measures. The Column sum Constraint Generation algorithm and strong duality theory are used to get the robust-stochastic optimization. The method proposed in the paper has a positive effect on enterprises to rationalize their production schedules, reduce electricity and carbon emissions costs and increase the revenue from participating in grid regulation.

Multifunctional composite paper fabricated by graphene oxide/tannin decorated carbon fiber with excellent electromagnetic interference shielding, antibacterial and sound absorption properties

Considering the distinctive oxidative coupling characteristic of tannin acid, it was used as an interfacial interlayer to build a nano-coating structure on the surface of carbon fiber (CF)using amino-modified graphene oxide (GON) via Schiff base reaction. Furthermore, a kind of multifunctional composite paper (PTCF/GON) with excellent electromagnetic interference shielding, antibacterial and sound absorption properties was fabricated using surface modified CF (TCF/GON) and plant fibers. The increased active groups on the surface of TCF/GON improved its hydrophilicity and enhanced its dispersibility in water, which facilitated to form an effective interconnected conductive network of composite paper via traditional wet forming process. Composite paper fabricated by 30 wt% surface decorated CF (PTCF1.5/GON1.2) achieved an electromagnetic interference shielding effectiveness as high as 43.4 dB in X-band, shielding 99.9 % of incident electromagnetic energy. Meanwhile, PTCF1.5/GON1.2 exhibits good sound absorption performance in specific frequency bands, with a sound absorption coefficient of 0.98 around 1180 Hz. Besides, PTCF1.5/GON1.2 also exhibited excellent antibacterial properties. This strategy provides an economical and practical method for manufacturing multifunctional electromagnetic shielding materials with superior performance.

Forced stability studies and estimation of encapsulated ellagic acid in nano-formulations using UV-spectroscopy

Abstract There is a growing interest in dietary materials to explore their therapeutic activities. Ellagic acid is considered as a dietary supplement and is naturally present in fruits and other foods. It has anticancer, antimalarial, antiviral, antioxidant, and anti-inflammatory activities. These activities can be enhanced with nanoformulations, which can increase its oral bioavailability. However, there is a need for an economical, simple, sensitive, and robust analytical method for the estimation of entrapped ellagic acid in the nanoformulations. Therefore, the present study presents the development and validation of a UV–visible spectroscopy method for the estimation of EA in nanoformulations. The phosphate buffer (pH 7.2) and the detection wavelength of 253.5 nm were used for the method development, and its validation was performed according to the ICH Q2A (R1) guidelines. The coefficient of determination value of the developed method was found to be 0.9988 in the concentration range of 1 μg mL−1 to 6 μg mL−1. The method was found to be linear, precise, sensitive, and robust. This method can be used for the estimation of EA in nanoformulations, bulk dosage forms, and other pharmaceutical formulations.

Deep eutectic solvent-mediated synthesis of CuCo2O4 @ Sargassum tenerrimum derived carbon heterostructure as an efficient electrocatalyst for oxygen and hydrogen evolution reactions

Developing bifunctional electrocatalysts for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) through simple, economical, and innovative methods is vital for sustainable energy conversion. Here, we showcase a green and sustainable approach for synthesizing CuCo₂O₄ - Sargassum Tenerrimum derived carbon composites (CCST) directly from fresh seaweed and a deep eutectic solvent (DES), marking its initial application in HER/OER. The successful transformation of seaweed and metal precursors into CCST was accomplished using a direct pyrolysis method at 900 °C in an inert atmosphere. Here, Seaweed granules acted as the carbon source, with DES employed for its multifunctional properties, including serving as a solvent, a structural template, and a catalyst for fostering material development. When these materials were assessed as electrocatalysts for OER in 1 M KOH media, the optimal catalyst (CCST-9 (1:2)) exhibited a low overpotential of 381 mV at 10 mA cm−2 with a Tafel slope of 44 mV dec−1. In addition, the same material achieved low overpotential of 383 mV at 10 mA cm−2 with a Tafel slope of 100 mV dec−1 when tested as an electrocatalyst for HER in 0.5 M H2SO4 media. Interestingly, CCST-9 (1:2) demonstrated excellent long-term stability in OER in 1 M KOH during a 24-h chronoamperometry test, with only a minor reduction in current density. The present study contributes new perspectives to the development of scalable and high-performance bifunctional catalysts, achieved through an environmentally friendly and cost-effective synthetic strategy.

Ekala Dravya Prayoga mentioned in classics for Ashmari Chikitsa - A Review

Acharyas have described various disorders related to Mutravaha Srotas, with Ashmari being one such condition that can be correlated with urolithiasis based on its clinical features. It affects approximately 12 million people worldwide, with 1 in 10 individuals experiencing it at least once in their life-time, and 2% of cases being recurrent. Prevalence of renal calculi is more in males than in females about 11% in males and 9% in females. Though different treatment modalities are there for Ashmari, Ekala Dravya Prayogas are common, convenient, economical and effective method of treatment. Acharyas have described drugs such as Sigru (Moringa oleifera), Tumburu (Zanthoxylum alatum), Gokshura (Tribulus terrestris), Varuna (Crataeva nurvala) etc. for Ekamoolika Prayoga in Ashmari. Most of drugs are of Kashaya-Tikta Rasa, Laghu - Ruksha Guna and Tridosha-Hara which is administered with different Anupanas, found to be effective in Ashmari Chikitsa.

A novel computer vision and point cloud-based approach for accurate structural analysis of a tall irregular timber structure

Wood material has been widely used in critical heritage structures such as pagodas, totem poles, and large-scale sculptures. Conducting rigorous structural analysis is crucial to protect these structures in high-seismic regions. Typically, these types of structures are modeled using an equivalent finite element (FE) model which used simple cylinder with a constant cross section equal to the average of the top and bottom cross section. However, simplified equivalent FE models may not accurately consider the irregularities and complexities of these structures. In this paper, advanced computer vision and point cloud techniques were adopted to accurately and rapidly construct a FE model of a 30-meter irregular timber sculpture. This was achieved using video scans, computer vision-aided 3D reconstruction, point cloud processing, and mesh to solid element conversion. The refined FE model was used to conduct capacity check, mesh sensitivity study, pushover analysis, and response spectrum analysis. The results of the refined FE model were compared to an equivalent FE model. The results show: 1) the proposed numerical modeling methodology for structural analysis can efficiently and accurately measure the dimension of the irregular sculpture up to 98.2 % accuracy; 2) the lateral stiffnesses of the 30-meter irregular sculpture vary significantly (up to 42.6 %) from one direction to the other; 3) the equivalent FE model overestimated the shear and moment capacities by 20.6 % and 13.2 %, respectively; 4) on average, the equivalent FE model overestimated the shear and moment demands by 8.9 % and 5.5 %, respectively. Overall, the proposed application has demonstrated a fast, economical and accurate method to conduct seismic evaluation and design for irregular structures.

Influence of Sub-CMC Rhamnolipid Flushing on the Mobilization and Solubilization of Residual Dodecane in Saturated Porous Media

The potential of monorhamnolipid (monoRL) biosurfactant to enhance the removal of residual dodecane from a porous medium was investigated under monoRL concentration varying from sub-CMC to hyper-CMC conditions by one-dimension column experiments. In the immiscible displacement experiment, 76% of the total volume of dodecane is removed by flushing of 150 μM monoRL solution. The solubilization of dodecane could be enhanced by rhamnolipid even at monorhamnolipid concentrations as low as 50 μM/L. The higher solubilization concentration (500 μM/L) of monoRL solution results in higher solubilized dodecane concentration (160 μM/L) due to the larger quantity of micelle formation. Compared to solubilization, immiscible displacement, or mobilization, is far more effective in removing residual dodecane. The interfacial partitioning tracer tests (IPTT) method is applied to measure the variation in specific dodecane-water interface areas (Anw). The results showed that the flushing of monoRL increased the Anw from 2.04 to 3.54 cm2/cm3. This investigation implies that low-concentration monorhamnolipid flushing and subsequent micelle solubilization is an economic method to remediate NAPL-contaminated fields.

КОНЦЕПЦІЯ НИЗЬКОВУГЛЕЦЕВОЇ ЕКОНОМІКИ: МІСЦЕ В СИСТЕМІ СУЧАСНИХ ЕКОЛОГООРІЄНТОВАНИХ СУСПІЛЬНИХ КОНЦЕПЦІЙ

Introduction. The concept of a low-carbon economy is designed to solve the problem of climate change by transforming the socio-ecological-economic system based on the principles of zero greenhouse gas emissions. However, this issue is also addressed in most other environmentally oriented social concepts. The purpose of the article. The purpose of this article is to determine the place of the low-carbon economy within the system of modern environmentally oriented concepts of social development. Methods. The research was conducted by using general scientific and general economic methods. In particular, the most common methods were abstraction, generalization, comparison, induction, deduction, monographic method, axiomatic method, methods of retrospective and systematic analysis. Results. To achieve this goal, the author analyzed the most popular of environmentally oriented social concepts: the concept of sustainable development, the green economy concept, the blue economy concept, the concept of the blue (ocean) economy, and the circular economy concept. Additionally, a schematic model was constructed to illustrate the position of the low-carbon economy within the system of environmentally oriented concepts of social development. The study provides a retrospective analysis of the inception and evolutionary development of each of the researched concepts. Their guiding ideas, main principles, goals, and tasks were identified. Furthermore, the article differentiates between complementary and interchangeable concepts and shows the horizontal and vertical connections among the reviewed concepts. It was established that the issue of global warming is considered in each of the analyzed concepts. Moreover, the relationship between the analyzed concepts and the low-carbon economy concept was examined. Conclusions. Based on the results of the research, it can be concluded that the low-carbon economy concept consolidates measures and mechanisms to address the important and urgent problem of climate change. Within the system of environmentally-oriented social concepts, the investigated concept occupies the place of a specialized concept focused on reducing greenhouse gas emissions and combating climate change to achieve green growth and sustainable development. It is closely related to several other concepts through the common goal of finding ways to combat climate change. Consequently, the ideas of a low-carbon economy have become widespread in the concepts of sustainable development, the green economy, the blue economy, the blue (ocean) economy, and the circular economy.

ОСОБЛИВОСТІ ВНУТРІШНЬОГО КОНТРОЛЮ РОЗРАХУНКІВ ПІДПРИЄМСТВА В УМОВАХ ВОЄННОГО СТАНУ

Introduction. In the conditions of martial law, enterprises face new challenges that affect all areas of their economic activity, including settlement operations. Internal control of settlements becomes critical for ensuring financial stability and supporting operational activities. This requires a study of the specifics of the organization of internal control of the company's calculations during the state of war, in particular the issue of ensuring the security of financial operations in conditions of instability and market uncertainty. The purpose of the article. The purpose of the study is to investigate the features and effective mechanisms of internal control of payments at enterprises operating under martial law to ensure their financial stability and competitiveness. Methods. The research methodology includes a comprehensive approach that combines general scientific methods: analysis, synthesis, comparison, as well as specific financial and economic methods of evaluating the internal control system, including methods of risk analysis and auditing of financial operations. Results. The article examines the main principles of ensuring effective internal control of the calculations of economic entities in the conditions of martial law. It was found that failures in the work of banking systems, interruptions in communications and logistics significantly complicate the timely execution of financial transactions. The need to strengthen control over payment discipline on the part of both the enterprise and its counterparties has been identified. The necessity of implementing additional measures to protect the payment system, including increased attention to the verification of counterparties and the use of digital monitoring tools, has been proven. The growing need for rapid adaptation of internal control procedures to new conditions, such as changes in legislation introduced in connection with military operations, or new requirements for financial reporting, which requires the involvement of qualified personnel capable of promptly responding to new challenges and risks, has been studied. Conclusions. It has been proven that the internal control of the company's calculations in the conditions of martial law is an important element of maintaining stable operations and financial security. Therefore, to ensure its effectiveness, it is necessary to constantly update control methods, take into account new risks and challenges associated with war, and implement modern monitoring tools on the basis.

Comparison of the Effects of Sanyinjiao Point (SP6) Acupressure with Combined SP6 and LI4 Acupressure on Labor Pain Intensity in Primiparous Women: A Randomized Controlled Trial

Background: Childbirth is an important event and special experience in women's lives. Labor pain is the most severe pain that women undergo in their lives. Pain management during labor is crucial for the well-being of the mother and fetus. Objective: This study aimed to compare the effect of combined LI4 and SP6 acupressure with SP6 acupressure on reducing labor pain. Methods: A total of 108 primiparous women who participated in the study were randomized into three groups, combining LI4 and SP6 acupressure, SP6 acupressure, and a control group. Pain intensity was evaluated before, immediately, 1 and 2 hours after the intervention and the second stage of labor by visual analogue scale (VAS). Results: Although the pain intensity immediately after the intervention was lower in the combined SP6 and LI4 acupressure group than in the other groups, the differences were not significant between the three groups (p = 0.147). The pain intensity 1 hour after the intervention and in the second stage of labor had a statistically significant difference between the three groups (p =0.006, p =0.001). The pain intensity 2 hours after the intervention was lower in the combined SP6 and LI4 acupressure group than the other groups, but it was not statistically significantly different (p= 0.05). The pain intensity 1 hour after the intervention was not statistically different between the SP6 group and the control group (p= 0.095). The pain intensity 2 hours after the intervention was lower in the combined SP6 and LI4 acupressure group compared to the control group, but it was not significant (p=0.06). The pain intensity in the second stage of labor was lower in the combined SP6 and LI4 acupressure group and SP6 acupressure group compared to the control group (p =0.001, p = 0.017), but there was no significant difference between the SP6 acupressure group and combined SP6 and LI4 acupressure group (p=1.000). Conclusion: The obtained results revealed that combination intervention is a safe, effective, noninvasive and economical method in alleviating labor pain intensity. Healthcare providers are expected to master the acupressure technique as an alternative, complementary therapy, which can be used as an alternative or additional therapy.

Sensitivity analysis for multi-measurement points based SHM in the mooring lines of floating offshore wind turbines

Abstract Structural health monitoring in floating offshore wind turbines’ mooring lines is vital for detecting early faults and preventing disruptions. Currently, sporadic and expensive monitoring is conducted via remote-operating vehicles. Efficient, automated, economical monitoring methods based on a continuous stream of data acquired via multiple measurement points in the wind turbine, are required. Such methods based on vibration signals have been investigated limitedly for steel chains. Recently, faulty synthetic mooring lines of a simulated 10MW semi-submersible wind turbine have been detected under varying environmental conditions and via the Functional Model Based Method (FMBM) equipped with functional models. The uncertainty due to the conditions’ stochasticity has been addressed by training the models using ten signal realizations per condition (wind) under the healthy wind turbine and from each of two measurement points. The current study presents a preliminary sensitivity analysis of the FMBM’s capability in detecting the simulated wind turbine’s faulty mooring lines when the functional models are trained using one signal realization per varying condition (wind) from each measurement point. The method’s effectiveness is evaluated with acceleration signals from 11 healthy/ 66 faulty (reduced stifness in one mooring line) cases. The FMBM detects all cases even when trained using one signal realization.

Development of a simple and economical analytical method for investigating the distribution of astaxanthin E/Z-isomers in foods and cosmetics

Development of a simple and economical analytical method for investigating the distribution of astaxanthin E/Z-isomers in foods and cosmetics