Applicable Method Research Articles

The Application of Carbon-Based Fertilizer Changed the Microbial Composition and Co-Occurrence Network Topological Properties of Vineyard Soil

Charcoal-based fertilizer could be used extensively and is environmentally friendly. An experiment was designed to investigate the effects of different charcoal-based fertilizer application methods on soil microbiology and grape quality in a vineyard to guide the cultivation of ‘Shine-Muscat’. A control treatment without fertilization and six other treatments were set up. Four treatments applied carbon-based fertilizer as a base fertilizer with or without potassium fulvic acid, a complex microbial agent, or Bacillus subtilis, and two treatments were only applied with two applications of carbon-based fertilizer or compound fertilizer during the expansion period. The results showed that the bacterial phyla were mainly Proteobacteria and Bacteroidetes. Ascomycota, Basidiomycota, and Mortierellomycota dominated the fungal community. At the genus level, the composition of fungi, compared to bacteria, varied significantly, while the dominant flora differed among fertilization practices. Application of charcoal-based fertilizer enriched beneficial microorganisms, while chemical fertilizers enriched pathogenic microorganisms. The addition of microbial fungicides and biostimulants for a period reduced the size of the microbial network, lowered positive correlations, and enhanced resistance to adverse conditions and diseases and there was no significant correlation between agronomic traits and microbial network topology. A combination of soil microbial and grape agronomic traits suggests that a charcoal-based fertilizer base, with microbial fungicides applied, is the optimal fertilization regimen for grape.

Phosphorus High-rate application through band placement improved cotton productivity under arid climate

The plant-available soil phosphorus rate and methods for applying phosphatic fertilizer and soil P-fixation capacity are critical factors for lower cotton productivity in Southern Punjab, Pakistan. Hence, a two-year study was conducted in Central Cotton Research Institute (CCRI), Multan, Pakistan, to examine the effects of various P rates and application methods on cotton crop output during the growing seasons of 2014 and 2015. Phosphorus was applied in four rates (0, 40, 80, and 120 kg ha−1 P2O5) using broadcast, band application, and fertigation methods. Results indicated that the impact of P rates was statistically significant on plant height, the number of nodes, monopodial and sympodial branches, leaf area index, harvest index, and seed cotton yield. The greater P application (120 kg P2O5 ha−1) had a better effect on cotton productivity than the lower application rates (0, 40, and 80 kg P2O5 ha−1). The band application responded better on nodes plant−1, sympodial branches plant−1, boll weight, leaf area index, lint yield, and harvest during the growing season 2015. Therefore, by adopting the band application coupled with 120 kg P2O5 ha−1 rather than the conventional method of broadcast, productivity of cotton crops could be increased.

Precise partial root-zone irrigation technique and potassium-zinc fertigation management improve maize physio-biochemical responses, yield, and water use in arid climate

BackgroundTo optimize irrigation water use and productivity, understanding the interactions between plants, irrigation techniques, and fertilization practices is crucial. Therefore, the experiment aims to assess the effectiveness of two application methods of potassium humate combined with chelated zinc under partial root-zone drip irrigation techniques on maize nutrient uptake, yield, and irrigation water use efficiency across two irrigation levels.MethodsOpen-field experiments were carried out in two summer seasons of 2021 and 2022 under alternate and fixed partial root-zone drip irrigation techniques to investigate their impacts at two irrigation levels and applied foliar and soil applications of potassium humate or chelated zinc in a sole and combinations on maize.ResultsDeficit irrigation significantly increased hydrogen peroxide levels and decreased proline, antioxidant enzymes, carbohydrate, chlorophyll (a + b), and nutrient uptake in both partial root-zone techniques. The implementation of combined soil application of potassium humate and chelated zinc under drought conditions on maize led to varying impacts on antioxidant enzymes and nutritional status, depending on the type of partial root-zone technique. Meanwhile, the results showed that fixed partial root-zone irrigation diminished the negative effects of drought stress by enhancing phosphorus uptake (53.8%), potassium uptake (59.2%), proline (74.4%) and catalase (75%); compared to the control. These enhancements may contribute to improving the defense system of maize plants in such conditions. On the other hand, the same previous treatments under alternate partial root zone modified the defense mechanism of plants and improved the contents of peroxidase, superoxide dismutase, and the uptake of magnesium, zinc, and iron by 81.3%, 82.3%, 85.1%, 56.9%, and 80.2%, respectively.ConclusionsAdopting 75% of the irrigation requirements and treating maize plants with the soil application of 3 g l−1 potassium humate combined with 1.25 kg ha−1 chelated zinc under alternate partial root-zone technique, resulted in the maximum root length, leaf water content, chlorophyll content, yield, and irrigation water use efficiency.

Rapid prediction of transient particle transport under periodic ventilation using a non-uniform state Markov chain model

Predicting transient particle transport is crucial to address the risks posed to human health by indoor contaminants and to improve the design and control of ventilation systems. The Markov chain model with a coarse matrix has proven to be efficient in this regard, demonstrating faster speeds than traditional methods and higher computational accuracy when based on non-uniform states. However, its application under unsteady airflow conditions is limited, and discussions of how to determine non-uniform Markov states and their corresponding transient transition probabilities when the flow field changes are limited. Therefore, this study developed an application method of Markov chain model based on fixed non-uniform states in unsteady airflow fields. First, this model rapidly provides various Markov state schemes based on airflow field velocity and clustering methods. It then selects the optimal scheme through frequency and finally obtains the transition matrix through Lagrangian tracking for particle transport prediction. This model reduces the computational cost of transient particle transport when the wind speed changes while ensuring high computational accuracy. The proposed method was validated using published flow field experiments and simulation data. The computational speed of the proposed method was compared with computational fluid dynamics (CFD), and in the case studies considered in this research, the normalized root-mean-square deviation of the model was less than 10% and the total computation time was more than 75% faster than that of CFD.

Collagen Membrane as Artificial Dura Substitute: A Comprehensive In Vivo Study of Efficiency and Substitution Compared to Durepair

The dura mater is a barrier between the brain and the surrounding environment. Injuries to the dura can lead to serious complications, therefore, ensuring a hermetic closure of the dura is a primary task for a neurosurgeon. The aim of the study is to compare the effectiveness of applying the newly developed ViscollDURA collagen membrane (VDCM), with the commercially available Durepair (xenogeneic collagen) in animal model. A dural tear model was utilized in rats with membrane implantation using an application method. The sample size consisted of 24 rats. Group I underwent VDCM implantation, while Group II underwent Durepair implantation. Results were evaluated at 30, 60, and 90days. The study was assessed using magnetic resonance imaging, histology, electron scanning microscopy, and immunohistochemistry. The obtained results underwent statistical analysis. In the clinical presentation, there were no difference between groups. Histologically, Group 1 showed comparable results to Group 2. The integration process of the membrane statistically differed between the groups. In Group 1, neovascularization and tissue replacement showed better results than in Group 2. Magnetic resonance imaging differences were observed at later stages, with group 2 showing adhesion and brain deformation in the implantation area. Both membranes showed safety and compatibility. The collagen membrane produced under sterile conditions demonstrated better regeneration with minimal inflammatory reaction. The study suggests that VDCM exhibits biocompatibility comparable to Durepair, providing prospects for potential applications in neurosurgery.

Illustration in Children's Food Packaging Involved Methods and Applications

With the growth of the global population, the children's food market is expanding, and the design of children's food packaging is increasingly being paid attention to. As an intuitive and vivid visual language, illustration plays a vital role in children's food packaging. It can not only attract children's attention and improve the appeal of the product but also increase the interest in the package through the story context and game elements, thereby enhancing children's awareness and loyalty to the brand. Therefore, the application method and effect of illustration in children's food packaging have become a problem worth studying. In-depth understanding of children's preferences and cognitive characteristics of illustration in different age groups is helpful to design food packaging that better meets children's needs. With the continuous expansion of the modern children's consumer market, illustration design, as an indispensable element in children's food packaging, has a unique visual appeal and emotional connection ability to attract children consumers. This paper will study the method of integrating illustration design into children's food packaging and discuss the three parts of hand-drawn design, vector drawing, and digital synthesis technology in detail. This paper aims to explore the application methods and effects of illustration in children's food packaging, identify the research gaps in this field by summarizing the current research progress, and put forward the research theme and specific problems of this paper. Then, the methods adopted in this study will be introduced in detail, and their significance will be expounded. Finally, future development will be predicted, and suggestions for possible problems will be put forward.

Inlet injection as an alternative, simplified method of hydrogen application in a miniature gas turbine

Hydrogen-powered gas turbines have great potential, because, among other things, they allow the elimination of the use of fuels containing carbon in their composition, which involves the elimination of CO2 emissions, which are a product of the combustion of hydrocarbon fuels. The paper presents the results of experimental research conducted on a miniature gas turbine co-powered by hydrogen gas. The aim of the research was to demonstrate the impact of the addition of hydrogen on the operation of the unit and exhaust gas emissions during hydrogen application in a way that does not require engine modification. This was accomplished by applying hydrogen gas through the turbine inlet. Hydrogen gas accounted for up to 0.91% of the total volume of gas flowing through the compressor, which resulted in hydrogen contributing almost 10% of the energy supplied to the engine in the form of fuel. The research focused on measuring fuel consumption, thrust, and temperature, as well as the composition of exhaust gases. The emission of carbon monoxide, nitrogen oxides and the concentration of oxygen and carbon dioxide were measured. The addition of hydrogen resulted in a reduction of the total mass of fuel consumed by over 18%. It led to a significant decrease in the temperature behind the combustion chamber with an increase in the amount of hydrogen applied. The addition of hydrogen also resulted in a reduction in CO2 concentration in exhaust gases by more than 30%, but at the same time, an increase in NOx emissions was recorded. The obtained results were compared with the results of tests presented in the literature, in which hydrogen was supplied to units of analogous structure in a classical way, i.e. directly to the combustion chamber.

Large-ensemble Monte Carlo: a researcher’s guide to better climate trend uncertainties

Abstract Internal climate variability (ICV) often violates the assumptions of statistical methods, and the climate research community does not have an established approach for addressing resulting biases. Here we argue for a technique we call climate model Large-Ensemble Monte-Carlo (LENS-MC) to inform the selection of statistical methods for real-world application. Until now, scientists have often made best efforts to select methods based on assumptions about the mathematical properties of ICV. LENS-MC relaxes these assumptions and justifies method selection, potentially for a wide range of statistical analyses. We demonstrate LENS-MC using a case study of statistical errors in 20 year trends in global temperature and top-of-atmosphere flux series, comparing results with standard ordinary least squares (OLS). OLS commonly underestimates trend uncertainties, resulting in a higher likelihood of falsely reporting statistically significant trends or changes in trends, for example reporting p < 0.05 in 20 year temperature trends when the statistics are actually equivalent to p < 0.56. LENS-MC tests result in the selection of methods that almost eliminate the low bias in OLS trend standard errors. Using the suggested methods, researchers are less likely to mistakenly report significant trends, and LENS-MC could be widely applied to statistical climate analysis for which model output is available, provided that model ICV displays similar statistical structure, such as in autocorrelation, to observed ICV.

Additive inclusion in plastic life cycle assessments, part II: Review of additive inventory data trends and availability

AbstractPlastic additives are as essential as polymers to the production and performance of plastic materials. Additive content can vary in composition and functionality depending on the product, producer, application, and production method. Such variation may be a barrier to achieving high‐quality recycling and planning for plastic circular economy futures. Yet, as found in Part I, although there is increasing awareness of the importance of additives in plastics, they are often poorly disclosed or only briefly discussed in life cycle assessments (LCAs). In part II, we focus on the inclusion of additives in plastic processes in the database most used in plastic LCAs to date (Ecoinvent) and find that additives have historically been omitted from plastic granulate data and in production processes in the evaluated database. Thus, many practitioners will need to separately include additives in their models of plastic life cycles. To support practitioners in this endeavor, we then assess the availability of the 13,587 additives identified in the recent UN Chemicals in Plastics Report across the three major LCI databases (CarbonMinds, Ecoinvent, and LCA for Experts [GaBi]). We find that databases currently cover only 1,209 of these additives. Moreover, we assert that transparency regarding additive inclusion in plastics datasets, availability of additive datasets, and additive data completeness are major barriers to additive inclusion in plastic LCAs. Thus, we recommend focusing on the development of additive datasets, and we provide a tool for the identification of additive dataset availability and data gaps to improve the quality of plastic LCAs.

Seed- and Foliar-Applied Iron Chelate Improves Performance, Physiological, and Biochemical Aspects of Black Cumin (Nigella sative) under Semi-Arid Conditions

The cultivation of medicinal plants plays a crucial role in promoting human health benefits. However, the production of these plants can be affected by drought conditions. This research aimed to investigate the impact of differing water status (non-drought and drought during the flowering to harvest stage) and various iron treatments on the performance of black cumin. The iron treatments included no iron as the control (nFe), no iron with seed hydro-priming (nFe + P), seed iron priming (pFe), seed iron priming with iron foliar spraying (pFe + sFe), and double iron foliar spraying (sFe + sFe). The purpose of these treatments was to assess the effect of iron application methods on plant response under different water conditions. The findings revealed that drought significantly reduced the levels of Chla (15%) and RWC (5.9%), plant height (7%), follicle number (16.7%), seed number (4.6%), 1000-seed weight (3.2%), and seed yield (30.1%). Additionally, drought increased the proline content (90.9%), electrolyte leakage (9.2%), and MDA levels (23.9%). Interestingly, applying iron amendments reduced electrolyte leakage and increased seed yield under both water conditions. The drought-induced increase in proline content was more pronounced in the nFe treatment than in the other treatments. The amount of MDA in the nFe and nFe + P treatments was significantly higher under drought conditions compared to non-drought conditions. In conclusion, the addition of iron amendments helps black cumin plants recover from the effects of drought and reduces damage to seed growth. This means that using both seed iron priming and iron foliar spraying can significantly improve yields. Alternatively, focusing on either seed iron priming or double iron foliar spraying can also boost black cumin production compared to not using iron amendments.

Pore pressure prediction based on rock physics theory and its application in seismic inversion

Formation overpressure seriously affects drilling and downhole operation. Accurate prediction on the formation pore pressure can not only reduce the probability of drilling accidents, but also quantitatively evaluate the original formation pressure of underground pore space, which provides an important reference for site selection of carbon sink projects using underground space resources such as CO2 geological storage. It is therefore necessary to set up a widely applicable method that is based on rock physics theory and conforms to the characteristics of rock mechanics and fluid mechanic. This method is suitable for both logging prediction and seismic inversion of pore pressure. The traditional method of predicting pore pressure based on P-wave velocity has multiple solutions, and the prediction based on S-wave velocity which is not sensitive to fluid has new significance. Based on the Hertz-Mindlin petrophysical model that considering pressure variation and the Gassmann fluid substitution equation that addresses the change in fluid saturation, this paper firstly derived rock physical formulas for predicting pore pressure in logging, and then derived the intrinsic power function relationship between the effective pressure (Pe) and S-wave velocity (Vs) as well as S-wave impedance (Is). Based on this, a set of geophysical methods integrating S-wave velocity prediction, pore pressure prediction in well and seismic inversion is finally established. The efficacy of this method has been well validated, with an average error of 2.35% in S-wave velocities prediction, 4.5% in single-well pore pressure prediction. The results of seismic inversion of pore pressure are consistent with the phenomenon of overpressure development in actual working area. This method can be further extended to other areas, providing invaluable reference for underground operation such as oil and gas exploration and CO2 geological storage.

Development of a holistic framework for the description and characterization of company-individual Manufacturing Change Management processes

AbstractIn today’s manufacturing industry, companies operate in a complex and rapidly changing environment, resulting in an increasing number and variety of Manufacturing Changes (MCs). To ensure long-term competitiveness, companies must respond quickly, flexibly, and effectively to various types of MCs. While many companies have established processes to manage MCs, these processes often lack flexibility and a comprehensive methodological and digital support. Existing approaches to support these processes are often generic and difficult to transfer to a company’s unique Manufacturing Change Management (MCM) process. For this purpose, a framework and an associated application method have been developed in which MCM processes are abstracted and mathematically modeled using descriptive and characterizing attributes. To achieve a comprehensive view of the processes, the holistic framework intends to model people’s activities involved in the process, process steps, and the occurrence of information inside the process. The framework was developed through a three-phase approach, with attributes derived from the literature, case studies, and expert interviews. The framework and the associated application method were tested in a first industrial use case. In conclusion, the framework developed in this contribution supports practitioners and researchers to consistently describe and to flexibly adapt generally valid theoretical and practical approaches to company-individual MCM processes.

Comparing mini-disk infiltrometer, BEST method and soil core estimates of hydraulic conductivity of a sandy-loam soil

Saturated, Ks, and near-saturated, K, soil hydraulic conductivity control many hydrological processes but they are difficult to measure. Comparing methods to determine Ks and K is a means to establish how and why these soil hydrodynamic properties vary with the applied method. A comparison was established between the Ks and K values of a sandy-loam soil obtained, in the field, with the BEST (Beerkan Estimation of Soil Transfer parameters) method of soil hydraulic characterization and an unconfined MDI (mini-disk infiltrometer) experiment and, in the laboratory, with a confined MDI experiment and the CHP (constant-head permeameter) method. Using for the BEST calculations the soil porosity instead of the saturated soil water content yielded 1.4–1.1 times higher estimates of Ks and K, depending on the pressure head, and differences decreased in more unsaturated soil conditions. The confined MDI experiment yielded 22 % - 77 % higher K values than the unconfined MDI experiment, depending on the established pressure head, h0, and differences were not significant for h0 = −1 cm. In the close to saturation region, the soil hydraulic conductivity function predicted with BEST did not generally agree well with the Ks and K values obtained in the laboratory by a direct application of the Darcy’s law. In particular, BEST yielded a 5.6 times smaller Ks value than the CHP method and up to an 8.1 times higher K value than the MDI. Overall, i) the two application methods of the MDI yielded relatively similar results, especially close to saturation, and ii) there was not a satisfactory agreement between the field (BEST) and the laboratory (MDI plus CHP) determination of soil hydraulic conductivity close to saturation, unless a comparison was made with the same soil water content. The detected differences were probably attributable to soil spatial variability, overestimation of Ks in the laboratory due to preferential flow phenomena, underestimation of Ks in the field due to air entrapment in the soil and infiltration surface disturbance, inability of BEST to describe the actual soil hydraulic conductivity function at the sampled field site. Testing BEST predictions of Ks and K in other soils appears advisable and combining the MDI and CHP methods appears a rather simple means to make these checks. These additional investigations could improve interpretation of the differences between methods, which is an important step for properly selecting a method yielding Ks and K data appropriate for an intended use.

Exploring the effectiveness of doxycycline in restorative dentistry: a systematic review of in vitro studies.

This systematic review evaluated the efficacy of doxycycline in MMP inhibition, its antibacterial action, and other properties relevant to dental materials testing. The study protocol was registered at the Open Science Framework ( https://doi.org/10.17605/OSF.IO/ZVK2T ). Reporting was based on PRISMA statement. The search was carried out in the databases: PubMed, Scopus, Web of Science, Embase, Lilacs, and Google Scholar. Articles were restricted to Portuguese, English, and Spanish, with no date limit. In vitro studies were selected based on the following outcomes: DOX antibacterial and anti-metalloproteinase activity and its influence in physico-chemical properties. Two researchers independently selected the articles and collected the data. Of 1507 documents, 82 were fully evaluated and 21 were included. Different forms of doxycycline incorporation were found, both as free form and incorporated into carrier agents. The drug was tested as primers, incorporated in adhesive or glass ionomer cement. No studies were found that evaluated its incorporation in resin composite or resin cement. The results confirmed the therapeutic properties of the medication, with more significant results when incorporated in an adhesive. However, although promising, the use of this substance requires standardization in application methods and adopted concentrations, allowing for more direct comparisons between studies. Furthermore, long-term studies are interesting to conduct, ensuring biocompatibility and complete understanding of long-term effects on dental materials.

Thermodynamic Consideration of the Direct Removal of Oxygen from Titanium by Utilizing Metallothermic Reduction of Rare Earth Metal Halides

As the demand for titanium (Ti) continues to grow, so too does the use of Ti scrap, underscoring the need for innovative techniques for the efficient removal of oxygen (O) impurities from Ti scrap. Despite the immense challenge of directly removing oxygen from Ti–O solid solutions and the current lack of industrially applicable deoxidation methods, the current work explores a groundbreaking approach to address this issue. The thermodynamic analysis of a new technique for eliminating oxygen dissolved in solid Ti was conducted, leveraging the deoxidation properties of rare earth metals (REMs) such as Sc, Y, and La. This cutting-edge method relies on the in-situ production of REMs through the metallothermic reduction of REM halides. It was shown that Sc or Y metal can be synthesized via the reduction of ScCl3 by Mg or YCl3 by Li or Na, respectively. Ti with oxygen concentrations below 100 mass ppm can be obtained by leveraging the deoxidation properties of the Sc and Y metals produced in situ during the metallothermic reduction process, which contribute to deoxidation through their subsequent oxychloride-forming reactions. Employing REM halides in tandem with Li, Na, and Mg enables the efficient removal of oxygen impurities from Ti, even though these reactive metals have only weak deoxidation properties for Ti on their own. Remarkably, the proposed technique achieves oxygen concentrations significantly lower than those obtained using Ca metal as a deoxidant. In the future, this pioneering deoxidation method could be used to reduce CO2 emissions and energy consumption during Ti production while promoting resource circulation as a key technology for Ti recycling.

Application framework and model of Jingjin therapy in rehabilitation medicine

The Jingjin therapy and rehabilitation medicine share commonalities and complement each other. The application of Jingjin therapy from a rehabilitation perspective can broaden the development path of traditional Chinese medicine (TCM) rehabilitation. This paper, based on relevant literature and research findings, elaborates on the connection between Jingjin syndrome differentiation acupuncture and rehabilitation assessment and treatment. It discusses the application framework of Jingjin's preventive treatment theory in disease prevention and rehabilitation, and forecasts the research model of Jingjin rehabilitation medicine from an integrative perspective of Chinese and western medicine. This study aims to improve the rehabilitation application thinking of Jingjin therapy and enrich the application methods and treatment approaches of TCM rehabilitation medicine.

Survey of Applicable Methods for Determining Viscoelastic Effects in Ferroelectric and Antiferroelectric Chiral Liquid Crystals.

Viscosity, elasticity, and viscoelastic properties are one of the most fundamental properties of liquid crystalline materials; the main problem in determining these properties is the multitude of physical parameters needed to determine the values of elasticity and viscosity constants. In this paper, a number of different measurement methods for the complete characterization of viscoelastic properties for smectic liquid crystalline materials and their mixtures are analyzed, both theoretically and experimentally. The way in which viscoelastic material constants are determined depends mainly on the application/purpose of the materials under study. The subject of this work was to review the methods used to determine viscoelastic effects in ferroelectric and antiferroelectric chiral liquid crystals, their mixtures, composite materials, and even in dielectric systems, which would bear the hallmark of a universal method allowing the application of sufficiently low electric fields. In the case of chiral liquid crystals with ferroelectric and antiferroelectric phases and their subphases, the following assumption applies: fulfilment of Hooke's law (in the case of elastic coefficients) and preservation of laminar flow (in the case of viscosity coefficients).

Synergistic effects of soil and foliar nano-biochar on growth, nitrogen metabolism and mineral uptake in wheat varieties

Soil amendment and foliar application of nanobiochar (NBC: a unique nanomaterial) may enhance soil fertility which ensures that nutrients are available to plants, and increase crop production because it is a suitable source of macro- and micronutrients. From this study, NBC induced modification in two wheat varieties (Akbar, Zincol) yield, growth, physio-biochemical and ionic profiles have been studied. The soil application of nanobiochar was applied in four concentrations [control (0 %), S1 (1 %), S3 (3 %), and S5 (5 %)] at the sowing stage while after 30 days of germination, the foliar application of same NBC concentrations with surfactant (0.1 % Tween-20) was applied in the pots. Each treatment has three replications and experiment was arranged in a completely randomized design (CRD). Results indicated that growth attributes, physio-biochemical parameters and ion contents were significantly increased in both varieties than their respective controls with Akbar variety exhibiting better improvement in Akbar. However, the application of NBC increased the plant height, shoot–root dry biomass and shoot length at the S3F3 level (NBC in soil 5 % + NBC as foliar 3 %) while root length, plant and shoot fresh weight at the S5F5 level (NBC in soil 5 % + NBC as foliar 5 %) root fresh weight and plant dry weight S3F1 level (NBC in soil 3 % + NBC as foliar 1 %), leaf area at S3F3 level (NBC in soil 3 % + NBC as foliar 3 %), number of tillers at S1F5 level (NBC in soil 1 % + NBC as foliar 5 %). On the other hand, both methods of NBC applications significantly enhanced the photosynthetic pigments in both varieties but the Zincol variety showed the highest rate of pigments. Moreover, both applications of NBC significantly affect the primary metabolites (total soluble sugar, protein, and free amino acids), secondary metabolites (phenolic and flavonoid content), antioxidants (Catalase and peroxidase) and nitrogen metabolic enzyme (Nitrite and Nitrate) of both varieties with comparatively higher rate in the Akbar variety. In conclusion, these results showed that the combined applications of NBC as soil and foliar form could be used as a suitable source of fertilizer because of its beneficial effects and high nutritional content.

Creating Instagram Feeds as Arts and Culture Weeks Promotional Media with Canva Application and EPIC Method

This study aimed to develop an engaging Instagram feed design to enhance visitor participation at the Cultural Arts Week event. The research employed a case study method with a qualitative approach. The sample consisted of 16 respondents, including the chief executive of Cultural Arts Week, 2 computer experts, 2 graphic design experts, and 11 visitors to the event, all of whom were students at the IPB Vocational School. The effectiveness of the design was assessed using the EPIC method, which evaluates Empathy, Persuasion, Impact, and Communication. The results indicated a score of 4.25 for Empathy, 4.1 for Persuasion, 4.12 for Impact, and 4.27 for Communication, yielding an overall EPIC Rate of 4.18.

Pengaruh Faktor Emosional dan Faktor Rasional Terhadap Keputusan Pedagang dalam Menggunakan Jasa Perbankan Syariah: Studi Kasus pada Pedagang Kecamatan Serbajadi Kabupaten Serdang Bedagai

The purpose of this study is to identify emotional factors and rational factors of traders in Serbajadi District, Serdang Bedagai Regency when making decisions in using Islamic Banking services. This study used a quantitative approach with the distribution of questionnaires. The sample was randomly selected using proportional random sampling method and Slovin algorithm with a total of 88 traders. The data obtained were processed using the SPSS 27 application and multiple linear regression analysis methods used. The results obtained partially, the emotional factor variable (X1) has a negative and significant effect on the decision of Traders (Y) in using Islamic banking services. And the rational factor variable (X2) has an influence and is significant on the decision of traders (Y) in using Islamic banking services. Simultaneously, emotional factors (X1) and rational factors (X2) influenced traders' decisions (Y) in using Islamic banking services, amounting to 58.8% and other factors not included in the research model impacted the remaining 41.2%.