Production Value Research Articles

Visualizing erasure: Co‐creating comics and animation from revolutionary street art to Nubian memories of displacement in Egypt

AbstractThis article discusses how Faye Ginsburg's work on Indigenous filmmaking and commitment to shared anthropology inspired us to pursue unconventional forms of visual anthropology adapted to our own ethnographic contexts in post‐revolutionary Egypt. Specifically, we discuss Hamdy's work on the collaborative graphic novel Lissa and Moll's collaborative animation short Hanina. The affordances of these illustrated genres and mediums for collaborative co‐creation with our interlocutors enabled better ways to depict that which is no longer tangibly present yet persists in memories and longings. The specific histories of each media resonated with how the communities sought to represent themselves, a powerful example of what Ginsburg calls “aesthetic accountability.” We also reflect on how comics and animation, through greater anonymity, can help us attain safety as a production value under authoritarianism.

Association between lipid accumulation products and stress urinary incontinence: a cross-sectional study from NHANES 2005 to 2018

BackgroundStress urinary incontinence (SUI), a common disorder of the pelvic floor, often results in anxiety, poor quality of life, and psychological issues among its sufferers. The relationship between lipid accumulation products (LAP) and stress-related urine incontinence remains unclear. This research aimed to investigate any possible correlation between the risk of SUI and the level of lipid accumulation products.MethodsFor this cross-sectional research, people with SUI who were 20 years of age or older were recruited using information from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. A weighted multivariate logistic regression model was used to evaluate the findings. As a potential biomarker, lipid accumulation product levels were sorted among individuals in ascending order and subjected to a trend test (P for trend). Additionally, a nonlinear analysis was conducted using smooth curve-fitting methods. Lipid accumulation products' effectiveness in predicting SUI was evaluated using receiver operating characteristic (ROC) curves. Finally, a subgroup analysis was performed to confirm that the connection between SUI and lipid accumulation products was consistent across all demographic groups.ResultsA thorough survey performed on 14,945 participants indicated that 23.61% of the respondents had SUI. A noteworthy association was observed between higher lipid accumulation product values and a greater probability of SUI in multivariate logistic regression analysis. Specifically, the stratification of lipid accumulation products into quartiles demonstrated a substantial positive correlation between the upper and lower quartiles, as evidenced by an elevated odds ratio for SUI (OR = 1.92; 95%CI 1.51–2.44; P < 0.0001). The subgroup analysis supported link consistency across all cohorts under investigation. Finally, the ROC curve indicated that lipid accumulation products (AUC = 0.67, 95%CI 0.654–0.690) had a superior predictive effect on the likelihood of SUI.ConclusionsIncreased lipid accumulation product values are associated with a higher chance of SUI in adult participants. This suggests that lipid accumulation products could be a valuable marker for detecting SUI, offering new perspectives for its evaluation and treatment.

Online Retailing Operations: Is It Wise to Offer Free Sample Trial and Money-Back Guarantee Together?

In retail operations, free sample trial (FST) and product return with money-back guarantee (MBG) both serve as important strategies to reduce consumers’ worries and valuation uncertainty. This paper is the first study which analytically examines when and whether an online retailer should provide both strategies simultaneously, and when one strategy outperforms the other. We consider an online retailer selling to consumers who are uncertain about the product values when making purchasing decisions. The retailer decides whether to offer MBG or FST. We develop analytical models to examine four strategies: strategy NN (both FST and MBG are not provided), strategy NS (FST is provided and MBG is not offered), strategy MN (FST is not provided and MBG is provided), and strategy MS (both FST and MBG are offered). Comparing among these four strategies, we find that when only FST is offered, the retailer surprisingly should decrease the price if the product cost is low. If the retailer only provides MBG, he will charge a higher price compared with the situation when MBG is not provided. When the size of free sample is very small, strategy NS (MS) is the optimal strategy if the product's cost is low (high). When the size of free sample is large, strategy MN is the optimal strategy. Then, we extend our model to consider three situations, namely: (a) the retailer offers coupons to consumers to experience the free sample, (b) consumer returns incur a cost, and (c) the size of free sample is endogenous. We find the main conclusion remains robust. Our findings may help explain some real-world practices, such as why some retailers (e.g., Amazon and Walmart) provide consumers with low volume toners to decrease the free sample cost; skincare product retailers such as Lancôme, Estee Lauder, and Guerlain implement both MBG and FST. We also interestingly show that a bigger size of free sample may not necessarily benefit consumers.

Antitumor Properties of Bromelain Loaded Trastuzumab Conjugated Niosomes in HER2+ Breast Cancer Cells

There are multiple forms of treatment for cancer treatment, but since the treatment process also damages healthy cells. Accordingly, in recent years, in the light of nanotechnological studies, cancer cell targeted drugs known as smart drugs have attracted attention. Niosome is one of the preferred nanoparticle systems in these studies. Bromelain is a protease mixture obtained from the pineapple stem or fruit. In recent years, it has been shown in many cell types that it has anticancer properties due to its proteolytic activity. In this study, bromelain was encapsulated into niosomes with 32±2.9% efficiency for the treatment of breast cancer, which is the most common type of cancer in women. Specific targeting of niosome-encapsulated bromelain to HER2+ SKBR-3 cell line was performed by trastuzumab (herceptin) conjugation. DLS, FTIR, XPS, TEM were used for particle characterization. Niosomes (Nio) showed particle size of 134.3±8.1nm, Bromelain loaded niosomes (Nio-Br) showed particle size of 165.6±11.5nm. As a result of TEM analysis, it was shown that morphologically spherical and targeted sizes of niosomes of approximately 100nm were synthesized. FTIR and XPS analyzes were performed to confirm pegylation and trastuzumab conjugation. Cytotoxicity and apoptosis studies of Nio-Br, Nio-Br-PEG-Tra, Tra samples carried out in SKBR-3 and MDA-MB-231 cell lines. Determined IC50 values of final product on SKBR-3 and MDA-MB-231 cell lines respectively 77.51±5.39 μg/mL and 238.1±16.62 μg/mL. As a result of in vitro studies, final product is more toxic on HER2+ SKBR-3 cell line thanks to trastuzumab in structure. At the same time final product has more apoptotic effect connected to toxic characteristic. Formed molecule in this study was designed for HER2+ breast cancer cells. According to obtained in vitro experiment results, this designed molecule has potential to be drug delivery system for HER2+ breast cancer.

African Horned Melon (Cucumis metuliferus): Climate‐Resilient Crop and Gene Donor in the Breeding of Major Cucurbits

ABSTRACTAfrican horned melon (Cucumis metuliferus E. Meyer ex Naudin, 2n = 2x = 24) is an under‐researched and under‐utilised cucurbit crop primarily grown for its nutritious fruit. In its centre of diversity, the crop is valued for its relatively high tolerance to insect pests, diseases, drought and heat stress. It is a potential opportunity crop and a valuable source of genes to major Cucumis species, including cucumber (Cucumis sativas L.) and melon (C. melo L.). Its climate resilience and nutrient‐rich fruit provide niche market opportunities. Hence, production and value‐adding will make African horned melon a crop of choice globally. There is a need for an in‐depth investigation into the genetic diversity, breeding and food composition of the crop. Therefore, the objective of this review was to provide perspectives on the production and breeding status of African horned melon to appraise its genetic value for human welfare, strategic production, genetic conservation and breeding of market‐preferred varieties, including closely related Cucumis species. The first section described the botany, production status, germplasm resources and characterisation based on phenotypic and genetic markers. This is followed by breeding progress for biotic and abiotic stress tolerance, utilities and challenges of gene transfer and potential rootstock to Cucumis species, especially cucumber and melon. The review summarised the main breeding goals and approaches, including mutation breeding to fast‐track the development of new varieties. Information presented in the review will guide cultivar design in African horned melon or related cucurbits, aiming for superior agronomic and nutritional quality traits and tolerance to biotic and abiotic stresses.

Coupling Photocatalytic Hydrogen Production with Key Oxidation Reactions.

Hydrogen represents a clean and sustainable energy source with wide applications in fuel cells and hydrogen energy storage systems. Photocatalytic strategies emerge as a green and promising solution for hydrogen production, which still reveals several critical challenges in enhancing the efficiency and stability and improving the whole value. This review systematically elaborates on various coupling approaches for photocatalytic hydrogen production, aiming to improve both efficiency and value through different oxidation half-reactions. Firstly, the fundamental mechanism is discussed for photocatalytic hydrogen production. Then, the advances, challenges, and opportunities are expanded for the coupling of photocatalytic hydrogen production, which focuses on the integration of value-added reactions including O2 production, H2O2 production, biomass conversion, alcohol oxidation, and pollutants treatment. Finally, the challenges and outlook of photocatalytic H2 production technology are analyzed from the aspects of coupling hydrogen production value, photocatalyst design and reaction system construction. This work presents a holistic view of the field, emphasizing the synergistic benefits of coupled reactions and their practical application potential, rather than focusing on catalysts or single reaction systems. This review provides valuable references for the development and application of photocatalytic hydrogen production in energy conversion and environmental conservation through sustainable, eco-friendly and economic pathways.

Coupling Photocatalytic Hydrogen Production with Key Oxidation Reactions

AbstractHydrogen represents a clean and sustainable energy source with wide applications in fuel cells and hydrogen energy storage systems. Photocatalytic strategies emerge as a green and promising solution for hydrogen production, which still reveals several critical challenges in enhancing the efficiency and stability and improving the whole value. This review systematically elaborates on various coupling approaches for photocatalytic hydrogen production, aiming to improve both efficiency and value through different oxidation half‐reactions. Firstly, the fundamental mechanism is discussed for photocatalytic hydrogen production. Then, the advances, challenges, and opportunities are expanded for the coupling of photocatalytic hydrogen production, which focuses on the integration of value‐added reactions including O2 production, H2O2 production, biomass conversion, alcohol oxidation, and pollutants treatment. Finally, the challenges and outlook of photocatalytic H2 production technology are analyzed from the aspects of coupling hydrogen production value, photocatalyst design and reaction system construction. This work presents a holistic view of the field, emphasizing the synergistic benefits of coupled reactions and their practical application potential, rather than focusing on catalysts or single reaction systems. This review provides valuable references for the development and application of photocatalytic hydrogen production in energy conversion and environmental conservation through sustainable, eco‐friendly and economic pathways.

EXaminaTion of cRitical cAre PHArmacist pRoductivity MetricS (EXTRA‐PHARMS): The clinical pharmacist's perspective

AbstractBackgroundCritical care pharmacists are well‐established, valuable members of the intensive care unit interprofessional team with unique skills to perform comprehensive medication management in complex critically ill patients. However, standardized and consequential productivity metrics for critical care pharmacists have not been established.ObjectiveTo characterize the utilization and perception of contemporary critical care pharmacy productivity metrics utilized among individual institutions.Design, Setting, and ParticipantsAn electronic survey was distributed to critical care pharmacist members of the Society of Critical Care Medicine Clinical Pharmacy and Pharmacology Section and the American College of Clinical Pharmacy Critical Care Practice and Research Network.Main Outcomes and MeasuresThe survey included 23 questions to assess institution demographics, individual respondent demographics, institution practices, and individual respondent perceptions about the value of critical care pharmacist productivity metrics.ResultsA total of 204 critical care pharmacists, largely from the United States, responded to the survey between July and November 2022. Institutional metrics captured by more than 50% of the respondents' institutions included order verification rate/number of orders verified (60%), number of clinical interventions (57%), and intravenous to enteral product interchanges (52%). Of these metrics, critical care pharmacists only agreed with the value of the number of clinical interventions, were indifferent to the value of intravenous to oral product interchanges, and disagreed with the value of order verification rate/number of orders verified.ConclusionsSignificant discrepancies exist between institutional productivity metric practices and their perceived value and utility among critical care pharmacists.

Energy Consumption and Economic Growth: Evidence from SADC Countries

This article examined the nexus between energy consumption and economic growth in selected Southern African Development Community countries for the period 1980 to 2015. The study used both simple and multiple linear regression models to examine the relationship between the variables. The statistical results of the simple linear regression model between energy use and economic growth show a correlation coefficient of 0.060. This represents a weak positive correlation between the model variables. A coefficient of determination of 0.00476 depicts that energy use explains only 0.476% of the variability in the gross domestic product of countries investigated. The multiple linear regression model results show a multiple R of 0.3684, and an R2 of 0.1358. This also depicts a weak positive correlation between the model variables. A coefficient of determination of 0.1358 means that energy use and electric power consumption accounts for only 13.58% of the values of the gross domestic product of selected Southern African Development Community countries and the balance is explained by the terms that are not specified in the model. This article is of value to policy makers in the region as well as the academia as it strives to close the gap in knowledge.

Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs

Abstract Aim: The radiation dose that cardiologists receive in the catheterization laboratory is influenced by various factors. Handling high-stress tasks in interventional cardiology departments may cause physicians to overlook the use of dosimeters. Therefore, it is essential to develop a model for predicting cardiologists’ radiation exposure. Materials and Methods: This study developed an artificial neural network (ANN) model to predict the over-apron radiation dose received by cardiologists during catheterization procedures, using dose area product (DAP) values. Leveraging a validated Monte Carlo simulation program, we generated data from simulations with varying spectra (70, 81, and 90 kVp) and tube orientations, resulting in 125 unique scenarios. We then used these data to train a multilayer perceptron neural network with four input features: DAP, energy spectrum, tube angulation, and the resulting cardiologist’s dose. Results: The model demonstrated high predictive accuracy with a correlation coefficient (R-value) of 0.95 and a root mean square error (RMSE) of 3.68 μSv, outperforming a traditional linear regression model, which had an R-value of 0.48 and an RMSE of 18.15 μSv. This significant improvement highlights the effectiveness of advanced techniques such as ANNs in accurately predicting occupational radiation doses. Conclusion: This study underscores the potential of ANN models for accurate radiation dose prediction, enhancing safety protocols, and providing a reliable tool for real-time exposure assessment in clinical settings. Future research should focus on broader validation and integration into real-time monitoring systems.

Diverse methodologies of care: Thinking with and practising (soil) in situated, affective and enactive ways

AbstractThis research article outlines a provocation for diverse and experimentally open, situated approaches to exploring care and caring. The diversely positioned authors discuss this idea using the subject of soil, in the place and context of Aotearoa New Zealand. Little is known about the diversity of ways that everyday people value, or, have caring relationships for/with soil, among a plethora of research that positions soil ‘care’ around, for example, commercial food production, waste‐sinking, or property land value. To study diverse care in relation to soil, as with many relational subjects, requires equivalent diversity in the ways in which we might explore it. Here we outline the basis for diverse, situated methodologies that necessarily lead to a diversity of methods. This paper looks at the methodological imperatives that lead to exploring care, and discusses a variety of methods that generate different forms of ‘data’ with different forms of representation of that care. We observe that to holistically observe care relations with soil requires a diversity of methodologies, inherently ontological and epistemological – worldmaking. We discuss situated and enactive, affective approaches of Kaupapa Māori enquiry, monitoring and arts‐based approaches to ‘measure’ soil care taking place, in place, and contextualise this with our own author positionality. We discuss this suite of experimental, reflexive, affective and responsive ways to measure soil care that are contingent on that being cared about, for, with and by, and which reciprocally give care.

Optimizing Olive Production: The Role of Foliar Fertilizers in Boosting Yield and Quality

To enhance yield and produce high-quality olive products, it is crucial to implement accurate and balanced fertilization programs. Like other crops, olive trees require the application of specific macro and micronutrients in addition to basic fertilization. This study aimed to evaluate the effects of foliar fertilizer applications containing K as well as N, K, Ca, and B, in addition to basic fertilization, on the yield and quality parameters of the Gemlik olive (Olea europaea L. cv. Gemlik) variety, known for its high economic value and use in black table olives and oil production, during two consecutive seasons in 2021–2022. The research evaluated the effects on olive fruit yield, fruit nutrient content (N, Ca, P, Na, K, Mg, Zn, Fe, Cu, and Mn), oil yield, and quality. In addition to traditional basic fertilization (NPK fertilizer), foliar fertilizers containing K as well as N, K, Ca, and B nutrients were applied before flowering and after fruit set. These applications were organized using a randomized block design with three replicates, each consisting of three trees. The results showed that foliar fertilizer applications, in addition to basic fertilization, had a significant impact on the yield and quality parameters. Specifically, foliar K applications positively affected olive yield in the second year. Moreover, foliar fertilizer applications improved the fruit nutrient content, oil quality (K-232, K-270, peroxide, acidity, and total phenol), and oil composition (%). Therefore, it is recommended that foliar fertilizers are applied during similar periods under similar conditions. However, ensuring the continuity of an optimal fertilization management plan is crucial for olive, as it is a perennial plant.

Hydrogen production from energetic poplar and waste sludge by electrohydrogenesis using membraneless microbial electrolysis cells

Membraneless microbial electrolysis cells (MECs) are potentially considered to produce biohydrogen (bioH2) in a green manner and simultaneously minimize agricultural and wastewater facility wastes. However, effective, sustainable, and cost-effective system configuration and improvement of operating variables, working at ambient conditions, are needed to make the MEC a sustainable process. Therefore, this study investigates the bioH2 production from poplar leaves and anaerobic sludge mixture by incorporating nanomaterials comprising Al2O3, MgO, and Fe2O3 metal oxides at various dosages. Moreover, the effects of applied cell voltage (0.5–1.5 V) and inoculum amount (20–40 mL) on bioH2 production and organic matter removal performance are evaluated. The maximum bioH2 production value is 417 mL at an applied voltage of 1.5 V with a chemical oxygen demand (COD) removal efficiency of 37.6 % under operating times of 5 min using 40 ml of inoculum. The bioH2 production of the MEC system is reduced with the decrease in inoculum amount. The highest bioH2 production of 828 mL is obtained at improved conditions in the presence of 1 g of Fe2O3 metal oxide. Overall, this study provides the potentiality of simultaneous waste minimization and bioH2 production under ambient conditions that highlight the waste-to-energy pathway for membraneless and green bioelectrochemical process.

Influence of Terrain on MODIS and GLASS Leaf Area Index (LAI) Products in Qinling Mountains Forests

Leaf Area Index (LAI), as a pivotal parameter in characterizing the structural properties of vegetation ecosystems, holds significant importance in assessing the carbon sink function. Given the availability of multiple long-term LAI products, validating these LAI products with consideration of topographic factors is a prerequisite for enhancing the quality of LAI products in mountainous areas. Therefore, this study aims to evaluate the performance of MODIS LAI and GLASS LAI products from 2001 to 2021 by comparing and validating them with ground-measured LAI data, focusing on the spatio-temporal and topographic aspects in the Qinling Mountains. The results show that the GLASS LAI product is a better choice for estimating LAI in the Qinling Mountains. The GLASS LAI product has better completeness and generally higher values compared to the MODIS LAI product. The time-series curve of the GLASS LAI product is more continuous and smoother than the MODIS LAI product. Both products, however, face challenges in quantifying LAI values of evergreen vegetation during winter. The MODIS and GLASS LAI products exhibit differences between sunny and shady slopes, with mean LAI values peaking on sunny slopes and reaching their lowest on shady slopes. When the slope ranges from 0 to 10°, the mean values of GLASS LAI product show a higher increasing trend compared to the MODIS LAI product. At elevations between 1450 and 2450 m, the mean LAI values of the GLASS LAI product are higher than the MODIS LAI product, primarily in the southern Qinling Mountains. Compared to ground-measured LAI data, the GLASS LAI product (R² = 0.33, RMSE = 1.62, MAE = 0.61) shows a stronger correlation and higher accuracy than the MODIS LAI product (R² = 0.24, RMSE = 1.61, MAE = 0.68).

Establishing Local Diagnostic Reference Levels for Head Computed Tomography Examinations

Background/Objectives: Head Computed Tomography (CT) is an essential diagnostic tool for identifying brain pathologies and visualizing blood vessels. However, CT exposes patients to ionizing radiation, making it necessary to establish local diagnostic reference levels (DRLs) to ensure patient safety. This study aimed to establish DRLs for head CT scans and assess the influence of patient characteristics on radiation dose. Methods: A retrospective analysis was conducted on 2043 non-contrast and 488 contrast-enhanced head CT scans performed between 1 July 2023 and 31 March 2024 using a SIEMENS SOMATOM Definition Edge machine. Computed Tomography Dose Index (CTDIvol) and Dose-Length Product (DLP) values were analyzed, with DRLs set at the 75th percentile. The influence of gender, height, and weight on radiation dose was also evaluated. Results: The DRL for both non-contrast and contrast-enhanced scans was 58.18 mGy for CTDIvol and 1018.11 mGy·cm for DLP per acquisition. Total DLP was 2046.09 mGy·cm for contrast-enhanced and 1027.99 mGy·cm for non-contrast scans. No significant correlation was found between patient characteristics and radiation dose, allowing for a uniform DRL to be established. Conclusions: Uniform DRLs were successfully established for head CT scans, ensuring safe radiation doses for both non-contrast and contrast-enhanced studies. The lack of correlation between patient-specific factors and dose supports the use of standardized DRLs, contributing to optimized radiation safety in head CT diagnostics.

Understanding and estimating the role of large-scale seaweed cultivation for carbon sequestration on a global scale over the past two decades

Seaweeds, as marine photosynthetic organisms, are harvested by humans from the wild or through cultivation for various production purposes and to provide a range of marine ecosystem services, including nutrient removal, oxygen production, and carbon sequestration. The potential use of cultivated seaweed in mitigating carbon dioxide (CO2) has been extensively proposed in conjunction with commercial seaweed production worldwide. This study aims to assess the annual potential and benefits of cultivated seaweed in reducing and fixing anthropogenic CO2. Over the past two decades (2000–2019), global seaweed production has seen significant growth. The total output of cultivated seaweed reached 407.4 × 107 tons (t), with coastal mariculture removing 4.26 × 107 t of carbon annually and wild capture removing 2.24 × 106 t. The recalcitrant dissolved organic carbon (RDOC, 549.88–621.60 × 104 t) plays a significant role in the carbon sinks of seaweed cultivation. The substantial benefits of carbon sink resulting from the formation of RDOC from seaweed make up a considerable proportion in the calculation of carbon sequestration and sink enhancement benefits in large-scale seaweed cultivation. The sizable carbon sink base of seaweed cultivation (8631.90–9567.37 × 104 t) results in significant carbon fixation benefits. The total economic value of carbon sequestration and oxygen production was estimated at $70.36 ± 1.52 billion, with an annual average benefit of $3.52 ± 1.70 billion. Increasing the area and yield available for cultivated seaweed has the potential to enhance biomass production, carbon accumulation, and CO2 drawdown. It is crucial to emphasize the need for improved communication regarding the essential criteria for the feasibility of CO2 removal (CDR), with a focus on conducting life cycle assessments (LCA) when utilizing marine processes in the present and future work. The sustainable development of the seaweed cultivation industry not only ensures that Asian-Pacific countries remain leaders in this field but also provides an effective yet overlooked solution to excessive CO2 emissions worldwide.

A fundamental analysis on PAHs in food products to detect the toxicity index using fuzzy logic system

Polycyclic Aromatic Hydrocarbons (PAHs) are complex chemical compounds that occur naturally in unprocessed food when it is exposed to contaminated air during transportation, natural emission such as volcano, forest fire and through pesticides spray. It is reported by different agencies that there are 16 types of PAHs in which BaP (Benzo[a] pyrene), BaA (Benz[a]anthracene), BbF(Benzo [b] fluoranthene), Chr (Chrysene) are considered to be carcinogenic and it can occur due to different processes. In processed food it occurs due to various processing methods like overheating, incomplete burning, drying etc. The presence of PAH in food is conventionally found through analytical, traditional, and semi-automatic methods. These methods are found to be valuable but expensive and time-consuming. Further, these methods are used only for the detection of PAHs and the toxicity level is measured or identified based on expert knowledge of researchers and the Standards. Therefore, in this research, a simple harmfulness index system has been developed using Fuzzy Logic System(FLS). The proposed system has been designed based on the PAH values of different food and food products. Hence to initiate the study and to determine the significance of the results, PAH data have been collected from different articles that have investigated food products experimentally. These PAH data were analyzed using statistical measures such as Min, Mean, Max, Standard Deviation, Variance and Kurtosis method. Based on the observations from the results, the fuzzy sets were designed with four membership functions for each PAH and the rules were framed. The strength output from the inference engine has been associated with harmfulness index such as normal, low risk, medium risk, and high risk. From the evaluation, it can be observed that 89.72% of the food samples were recognized along with their degree of harmfulness. Also it can be inferred that 11% of the misclassified samples showed clear metrics of their harmfulness with PAH variations.

Novel heavy fuel oil based IGCC polygeneration system based on integration with ejector cooling and heat recovery of the solid oxide fuel cell in adsorption desalination

An innovative polygeneration system based on the gasification of heavy fuel oil including Orimulsion, Mazut, and Asphaltene has been proposed. In this system, electricity, hot water, cooling, hydrogen, fresh water, and nitrogen are produced in an innovative way to improve the system. In this regard, the integration of an Integrated Gasification Combined Cycle-Organic Rankine Cycle- Ejectero Refrigeration Cycle-Solid Oxide Fuel Cell-Adsorbation Deselination-Polyer Electron Electrolyzer has been proposed. The proposed system was investigated from the points of view of energy, exergy, exergoeconomic, and exergoenvironmental. In addition, to model the air separation unit, machine learning techniques have been employed.The results show that if Mazut is used as a gasification material, the system will have 36.81 %, 33.3 %, and 66.22 mPts/kWh in terms of polygeneration energy efficiency, polygeneration exergy efficiency and Levelized environmental impact of electricity, respectively and if Orimulsion is used, the Levelized cost of electricity value will be 33.32$/MWh which are the best performance in three fuel. Nitrogen production in this system is 35.08 kg/s, and hydrogen production is 0.0051 kg/s. The value of specific daily water production in the AD unit is 8.40 m3watertonofsilicagelper day, and the flow of hot water produced is 7.37 kg/s.

Enhancing Forage Production and Nutrient Value through Cereal/Legume Mixtures in Hydroponic Systems: A Study on Barley, Triticale, and Fodder Pea

Enhancing Forage Production and Nutrient Value through Cereal/Legume Mixtures in Hydroponic Systems: A Study on Barley, Triticale, and Fodder Pea

Public health emergencies and international trade in the context of global value chains: Evidence from COVID‐19 in China

AbstractIn recent years, there has been a notable increase in the frequency of public health emergencies (PHE), which pose a substantial threat to the global supply and demand equilibrium as well as the stability of the global value chains (GVC). The article takes the example of the COVID‐19 pandemic and utilises China's foreign trade monthly data spanning from 2018 to 2021 for an empirical analysis of how COVID‐19 affected China's import and export trade, as well as its participation in GVC collaborations. The findings are as follows: (1) The proliferation of COVID‐19 significantly and negatively impacted China's export trade, while its impact on China's import trade was insignificant. (2) The impact of the COVID‐19 on processing trade exports was more pronounced compared to general trade exports, highlighting the detrimental effect of the pandemic on GVC collaboration. (3) The adverse influence of the COVID‐19 on China's foreign trade and GVC cooperation primarily stemmed from its impact on international effective demand. (4) The pandemic exerted a more substantial negative effect on processing trade involving supplied materials with low production value added compared to processing trade involving imported materials with high value added. And it had a greater adverse impact on low‐tech products as opposed to high‐tech products, indicating that industries with higher value‐added and high‐tech products exhibited greater resilience in the face of trade disruptions by COVID‐19.