Effects Of Different Combinations Research Articles

Effect of Different Combinations of Nitrogen, Phosphorus and Potassium on Growth and Yield of Okra (Abelmoschus esculentus L.) under Rupandehi Condition

An experiment on effect of different combinations of nitrogen, phosphorous and potassium on growth and yield of okra (Abelmoschus esculentus L.) var. ArkaAnamika was conducted at Institute of Agriculture and Animal Science (IAAS), Paklihawa, Rupandehi during February 2017 to June 2017. The experiment was laid in Randomized Complete Block Design (RCBD) with seven treatments and three replications. The treatments 220:200:60 NPK Kg ha–1 (T1), 200:180:60 NPK Kg ha–1 (T2), 180:160:40 NPK Kg ha–1 (T3), 160:140:40 NPK Kg ha–1 (T4), 140:120:20 NPK Kg ha–1(T5), 120:100:20 NPK Kg ha–1 (T6) and Control (T7) were applied and the growth, yield and yield attributes of okra were studied. The result revealed that there were no significant differences (p=0.05 level by Duncan’s Multiple Range Test-DMRT) on plant height, number of leaves, number of branches, fruit length, fruit diameter, average number of fruit per plant and average marketable yield to the effect of different combination of NPK levels. However, the result showed that average marketable yield and total yield was found significant over the control and also the highest total yield (43.21 Mt/ha) was obtained at 160:140:40NPK Kg ha–1.

Enhancing soil and pakcoy (Brassica rapa subsp. Chinensis) nutrient content: investigating the effects of chicken manure compost and bioactivator combinations on various doses

Chicken manure compost serves as a valuable source of organic fertilizer. This study aimed to investigate the effects of different combinations of chicken manure compost and bioactivators on soil and plant nutrient content. Additionally, it sought to examine the relationship between fertilizer dosage and soil and plant nutrient levels, as well as determine the optimal treatment combination of chicken manure compost and bioactivator variations at different doses. In this study, the plant used was pakcoy. The study utilized a randomized group design with two factors. The first factor involved different compost types: A1 (chicken manure compost), A2 (chicken manure compost + N21 bioactivator), and A3 (chicken manure compost + local microorganism (MOL) solutions from banana weevil). The second factor encompassed varying doses of organic fertilizer, 5, 10, 15, and 20 tons ha-1, respectively for D1-D4. The findings revealed that composting chicken manure with different bioactivators and doses led to increased soil nutrient levels and noticeable effects on plant nutrient content. However, no interaction was observed among the combined treatments. The treatment combination of chicken manure compost and MOL solutions from banana weevil yielded the highest average plant nutrient content. Applying chicken manure compost with different bioactivators and doses influenced soil nutrient levels.

Manufacture of the hetero-structure bonding joint between carbon fibre-reinforced plastics and aluminium alloy by using hot pressing one-time forming process

Carbon fibre-reinforced plastics (CFRPs) are increasingly widely used in aerospace, automotive, energy and weapon equipment industries. It is inevitable to consider the connection process between CFRPs and traditional metal materials (such as steel and aluminium alloy). In this paper, a new one-time hot pressing method to prepare CFRPs and aluminium alloy hetero-structure bonding joint was first proposed to shorten the process chain. Then, the effects of different combinations of forming temperature and pressure on the properties of the structure were systematically investigated through shear strength tests and short-beam three-point bending experiments. And the range analysis and analysis of variance were used to analyze the effects of forming temperature and pressure on the formability and forming performances of the hetero-structures. It is found that it is feasible to manufacture the hetero-structure bonding joint between CFRPs and aluminium alloy by using hot pressing one-time forming process, and 400 °C, 0.4 MPa might be used as the best one-step forming process conditions for the CFRPs and aluminium alloy hetero-structure.

Effect of Different Combinations of Herbicides on Wheat Crop and Lolium Weed

In this investigation, which took place during the winter agricultural season of 2021-2022 in one of the fields located in the Al-Hindiya District of the Holy Karbala Governorate, the purpose was to investigate the effect of various combinations of herbicides on the development and yield characteristics of wheat as well as a few weeds belonging to the genus Lolium. The experiment was conducted out using a randomized complete block design with three replications and a factor One. This resulted in 11 different combinations of herbicides being tested, including Chevalier, Pallas, Tobic, and Axial. After sixty and ninety days, measurements were taken of the weed, and measurements of the wheat were taken at the end of the growing season. According to the findings, the combination of Chevalier, Pallas, Tobik, and Axial performed exceptionally well in reducing the majority of weed traits, including plant height, chlorophyll index, weed density, and weed dry weight. Decrease of effectiveness of different combinations of Chevalier, Pallas, Topic and Axial herbicides on Lolium weeds. Inhibition of wheat yield and growth when using combinations Chevalier +Pallas+ Topic Axial + and Chevalier +Pallas+ Topic.

Effectiveness of different combinations of phenoxetol and formaldehyde on preservation of histological features in human cadaveric tissues

BackgroundFixation preserves the tissues in a close to the life-like state by preventing its autolysis and putrefaction. Formalin has long been considered the close to ideal fixative for histological studies. With the awareness of occupational hazards, a few researchers have tried phenoxetol as a secondary preservative which offered comparable histological results to that of formalin. The adoption of phenoxetol as a non-toxic histological fixative of choice for staining purposes will require a process of validation; hence, the study aimed to see the suitability of different proportions of formalin and phenoxetol which can be used as a histological fixative. MethodsA few tissue sections (lip, ear lobe, muscle, vessels, and adipose tissue) were taken from a single cadaver before routine formalin-based embalming. The tissues were cut into smaller segments and fixed in 10% formalin, 1% phenoxetol, and in different proportions of 10% formalin and 1% phenoxetol. After the set time of fixation, tissue processing was carried out, and the slides were stained using hematoxylin and eosin (H&E) as well as special stains. The histological features of the tissues were assessed by two observers who were blinded to the fixation process. ResultsMost of the tissues preserved in 1% phenoxetol stained sufficiently well compared to other fixatives (formalin, phenoxetol + formalin). As the study was done using a standardized protocol followed for 10% formalin, few combinations did not work well. Still, the tissues fixed in 1% phenoxetol gave excellent results. ConclusionWe can conclude that for histological studies, 1% phenoxetol can be used as a short-term primary fixative.

Combined Effects of Different LED Light Recipes and Slow-Release Fertilizers on Baby Leaf Lettuce Growth for Vertical Farming: Modeling through DoE

The modern agriculture system based on open-field crops requires a lot of energy and resources in terms of soil, water, and chemicals. Vertical farming (VF) systems could be a viable alternative for some types of cultivation that are receiving interest thanks to their high modularity, optimized water and nutrients use, and LEDs employment as an energy-efficient light source. However, VF design and installation are expensive and require well-tailored optimization depending on the specific crop to increase its competitiveness. This work analyzed the effects of different combinations of NPK (nitrogen-phosphorus-potassium) slow-release fertilizers and LED-based light recipes on the growth of baby leaf lettuce (Lactuca sativa L.), taking advantage of the Design of Experiments (DoE) methodology. The type of slow-release fertilizer, its quantity measured as the number of aggregates from 0 to 6, and the type of light recipe were considered as input factors, and their possible influence on the growth of lettuce (in terms of morphological parameters) in a controlled indoor farming system was measured. Results suggest that using higher fertilizer inputs equal to six aggregates leads to an increase of average leaf area equal to 46% (from 13.00 cm2 to 19.00 cm2), while the fresh weight of lettuce increases by 65% (from 1.79 g to 2.96 g). However, the height of plants also depends on the combination of the light recipes. In particular, the separate coupling of higher inputs of two fertilizers and light recipes leads to an increase in the height of lettuce equal to 33% (from 6.00 cm to 8.00 cm).

Effectiveness of different combinations of urea and vermicompost on yield of bitter gourd (Momordicacharantia)

Exclusive use of organic manure in bitter gourd cultivation slows nutrient release, affecting root growth, while inefficient application of fertilizers during transplanting and development stages leads to nutrient losses and increased production costs. The research aimed to evaluate the efficiency of different combinations of urea and vermicompost in bitter gourd production and address the challenges associated with the use of only organic manure. The field experiment conducted in Tulsipur, Dang, utilized a six-treatment randomized complete block design with four replications. The treatments consisted of varying proportions of the recommended dose of urea (16 g plant−1) and vermicompost (280 g plant−1). Among the treatments, T3 (50% urea and 50% vermicompost) exhibited the most prevalent diameter (3.854 cm), length (16.32 cm), fruit count (1.391), weight plant−1 (189.2 g), and weight plot−1 (1848 g) while T4 (25% urea and 75% vermicompost) showed the quickest first flowering (30.37 days) and fruiting (33.75 days). T2 (75% urea and 25% vermicompost) recorded the highest vine length (222.5 cm). Statistically significant differences were observed in most recorded characteristics for T3. The results highlight the slow-release nutrient benefits and soil improvement properties of vermicompost, complemented by the quick-release nutrient attributes of urea. The traits with the lowest yield were observed in the control group (T6). A 50% combination of recommended urea dose and vermicompost is recommended for bitter gourd cultivation, leading to improved growth, yield, and quality, underscoring the benefits of organic fertilizer in this situation. The study's findings contribute to the scientific understanding of optimizing fertilization practices in bitter gourd production, minimizing production costs, reducing nutrient losses, and environmental pollution.

Leaf chlorophyll contents in some European pear cultivars grafted on different rootstocks and its relation with growth and yield

Aim of study: To investigate the effect of different combinations of pear rootstocks and cultivars on the contents of leaf photosynthetic pigments and their relation with some growth and yield characteristics. Area of study: Ondokuz Mayis University, Samsun, Türkiye, in two years, 2021 and 2022. Material and methods: The pear cultivars ‘Santa Maria’, ‘Williams’, and ‘Deveci’ were grafted on eight rootstocks: two quince clonal rootstocks (BA29 and QA), five pear clonal rootstocks (FOX9, FOX11, OH×F333, OH×F87, FAROLD40) and Pyrus communis L. seedlings. Growth and yield attributes were calculated and chlorophyll and carotenoid contents were determined by the spectrophotometric method, using 99.8% methanol solvent for chlorophyll (chl) extraction. Main results: Chl a/b in the case of rootstocks, chl a and total carotenoids in the cultivars were found statistically significant; the ratio chl a/b ranged 1.71-2.30 in the case of rootstocks; in the case of cultivars chl a ranged from 17.77 (cv. ‘Santa Maria’) to 19.88 (cv. ‘Deveci’) μg mL-1, and carotenoids ranged 0.21-0.95 μg mL-1. Under the main impact of cultivars, rootstocks and their combinations, a significant difference was seen in the growth and yield attributes. Research highlights: A negative correlation coefficient was observed between photosynthetic pigments and morphological characteristics; however, the correlation coefficient was positive for canopy volume and annual shoot growth. Canopy management, especially with the use of rootstocks and cultivars that result in weaker growth, is helpful for improving chlorophyll content and yield performances.

Effect of Trichocapsules and Different Organic Manures on Yield and Quality of Strawberry (Fragaria × ananassa Duch.) cv. Winter Dawn

Aim and Study: The garden strawberry is a widely grown hybrid species of the genus Fragaria, collectively known as the strawberries, which are cultivated worldwide for their fruit. The fruit is widely appreciated for its characteristic aroma, bright red colour, juicy texture, and sweetness. It is consumed in large quantities, either fresh or in such prepared foods as jam, juice, pies, ice cream, milkshakes, and chocolates. The present investigation was done to understand the plant growth, fruit yield and quality of strawberry using different combinations of treatment using organic, inorganics and bio-fertilizers.
 Methodology: The experiment was carried out at Horticultural Research Farm (HRF), Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Prayagraj during the Winter season of 2022 with a view to identify the effects of different combinations of organics, inorganics and biofertilizers nutrition and its role in growth, yield and quality of fruit of strawberry Cultivar Winter drawn. The experiment was laid in Randomized block design with 10 treatments and 3 replications with different combination in Trichocapsules (Trichodex) and application of organic nutrition.
 Results and Conclusion: The study showed positive responses of strawberry Cv. Winter Dawn to application of Trichocapsules in enhancing the vegetative growth, yield, quality of fruits and showed a better resistance to disease incidence. Based on growth, yield, quality parameters Treatment T6 (Vermicompost + Trichocapsules @ 400ppm) was found best in this research experiment.

Effects of complex sulphur substrates on sludge bioleaching to improve heavy metal removal and microbial community diversity

In this study, H2S was used as a partial replacement nutrient substrate for sludge bioleaching. The effects of different combinations of H2S/sludge load and monomeric sulphur on heavy metal removal and microbial communities were investigated. Changes in pH, oxidation-reduction potential (ORP), SO42− concentration, heavy metal removal, and the content of heavy metal states during bioleaching were investigated, and community diversity analysis was performed. Daily introduction of H2S three times (at an interval of 8 h) at a gas flow rate of 2 ml/min and an H2S/sludge load of 15 ml/L with 5 g/L FeSO4·7H2O and 2 g/L monomeric sulphur as a nutrient substrate significantly accelerated both the bioleaching process and the pH drop in the sludge system, promoted the production of SO42−, and maintained a higher redox potential. The combination of H2S and monomeric sulphur had a significant effect on the leaching of heavy metals. Compared with the experimental group containing only H2S or monomeric sulphur, the removal rates of Zn, Ni, Pb, and Cr increased by 4.63%/13.8%, 8.5%/20.07%, 3.84%/9.5%, and 4.24%/8.02% respectively, while promoting the transformation of various heavy metal states to labile states, improving heavy metal stability, and reducing sludge ecotoxicity. High-throughput sequencing analysis showed that introducing the H2S gaseous matrix accelerated the decreasing trend of species number, bacterial abundance, and community diversity in the sludge system, promoting Proteobacteria as the dominant phylum, Acidithiobacillus, Metallibacterium, and Thiomonas as the dominant genera, and improving the bioleaching treatment effect.

Effect of Photosynthetic Bacteria, Vermiwash and Phosphorus Solubilizing Bacteria on Growth, Yield and Quality of French Bean (Phaseolus vulgaris L.)

The present investigation was carried out with title ‘Effect of Photosynthetic bacteria, Vermiwash and Phosphorus Solubilizing Bacteria on growth, Yield and Quality of French bean (Phaseolus vulgaris L.)’ at the Central Research Farm, Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh during the 2021-22 with a view to identify the effects of different combinations of biofertilizers and organic nutrition and its role in growth, yield and quality of French bean variety Lakshmi. The experiment was laid in Randomized block design with 7 treatments and 3 replications with different combination in Biofertilizers and application of organic nutrition. Under this experiment, overall, 7 treatment was taken T1 (Photosynthetic Bacteria @ 30 ml/ m2 (PSB-1)), T2 (Vermiwash @ 40 ml/ m2 (VW)), T3 (Phosphate Solubilizing Bacteria (30 ml/ m2) (PSB-2)), T4 (PSB-1 + VW (40 each ml/ m2)), T5 (PSB-1 + PSB-2 (30 ml/ m2)), T6 (PSB-2 + VW (40 ml/ m2)) and T0 (Control). From the above experimental finding it was concluded that the treatment T5 (PSB-1 + PSB-2 (30 ml/ m2) was found to be best in the terms of growth parameters like plant (240.51 cm), plant spread (1984.64 cm2), earliness parameters like days to first flowering (54.33 days), days to 50% flowering (64.67 days), days to first pod setting (59.78 days) and days to first pod picking (67.47 days). T5 (PSB-1 + PSB-2 (30 ml/ m2) was also found best in terms of yield parameters like number of pods per plant (132.33 pods), pod length (13.73 cm), pod width (10.11 mm), individual pod weight (7.99 g), yield per plant (1.04 kg/plant) and yield per hectare (12.53 t/ha) of French bean. Therefore, Treatment combination of biofertilizers T5 (PSB-1 + PSB-2 (30 ml/ m2) can be suggested for better yield achievement in French bean.

Effect of mechanical vibration process parameters on the cement plugs properties for abandoned wells

A high-quality plug of the abandoned wellbore is considered an essential technical aspect of the oil and gas well abandonment technology system. This paper presents a method of active mechanical excitation to enhance the quality of wellbore plug barriers. An indoor simulation platform is developed, and the effects of different combinations of vibration frequency, amplitude and duration on the properties of the wellbore plug cement material are investigated. It is observed that the optimal combination of excitation parameters occurs at a vibration frequency of 15 Hz, a vibration time of 6 min, and a vibration amplitude of 3 mm. Compared with the condition without the vibration process, the cementing strength, compressive strength, and tensile strength of wellbore cement plug with the optimal mechanical vibration process could increase by 51%, 38% and 20%, respectively, while the porosity decreases by 5%. As determined by scanning electron microscopy of the set cement's microstructure, mechanical vibration effectively eliminates internal porosity and improves the set cement's density. The optimal excitation parameters obtained from the test can guide the design of the vibration plugging tool. The designed vibration plugging tool is simulated in the near field. The cement plug cementation quality tester tests the vibrating and non-vibrating samples, and the cementation ratio is calculated. The test results show that the average cementation ratio of vibrating samples is 0.89375, and that of non-vibrating samples is 0.70625, and the cementation quality is improved by 27%. It is concluded that it not only provides essential data for the design of mechanical vibration plug apparatus, on-site vibration plugs, and the development of operational specifications for vibration plugs, but also provides solid engineering guidance.

A non-linear optimal control model for illicit drug use and terrorism dynamics in developing countries with time-dependent control variables

The burden of illicit drug use and terrorism has become a significant health and social problem in many developing countries. Illicit drug use and terrorism have negatively affected the economy and development of some nations because the death rate due to these two phenomena is increasing daily, particularly among the young generation. Implementing preventive and control measures for illicit drug use and terrorism requires considerable government spending. This study aims to formulate and critically examine a non-linear optimal control problem based on an existing non-linear compartmental model of illicit drug use and terrorism dynamics. The existing seven-dimensional deterministic model is modified to capture four time-dependent control variables denoting public awareness, empowerment rate, detention rate of illicit drug users, and rehabilitation rate of illicit drug users. The non-linear optimal control model is rigorously analyzed to explicitly prove its existence and characterize the optimal control quadruple using optimal control theory. Effects of different combinations of at least two control variables in minimizing illicit drug use and terrorism are evaluated through simulations. Moreover, a cost-effectiveness analysis is conducted to ascertain the most effective and least expensive strategy required for preventing and controlling the burden of illicit drug use and terrorism with limited resources in the population.

Several models combined with ultrasound techniques to predict breast muscle weight in broilers

The weight of breast muscle (WBM) is a highly monitored indicator in broiler breeding that can be obtained after slaughtering. Currently, due to the lack of accurate in vivo phenotypes for both genomic and phenotypic selection, genetic gains in WBM fall short of initial expectations. In this study, 1,006 market-age (42 d) broilers from 3 generations over 2 yr were randomly selected, and the breast width (BW), fossil bone length (FBL), breast muscle thickness (BMT), and live weight (LW) were measured exactly in vivo. Eight models, including multiple linear regression (MLR), ridge regression (RR), least absolute shrinkage and selection operator (LASSO), and elastic net (EN), were fitted to explore the best regression relationships between breast muscle weight and these indicators. Support vector machine (SVM) methods with both linear kernels and radial kernels were used to fit the models, while 2 decision tree-based machine learning algorithms, random forest (RF), and extreme gradient boosting (XGBoost), were used to establish the prediction model. The predictive effects of different combinations of independent variables were compared, leading to the conclusion that the EN model achieves the best predictive power when all 4 live features are used as inputs and is slightly better than the other models (R2=0.7696). This method could be applied in practical production and breeding work, leading to substantial cost savings and enhancements in the breeding process.

Model development and validation of noninvasive parameters based on coronary computed tomography angiography to predict culprit lesions in acute coronary syndromes within 3 years: value of plaque characteristics, hemodynamics and pericoronary adipose tissue.

Machine learning (ML) is combined with noninvasive parameters from coronary computed tomography angiography (CTA) to construct predictive models to identify culprit lesions that may lead to acute coronary syndrome (ACS). We retrospectively analyzed 132 patients with ACS at the Fourth Affiliated Hospital of Harbin Medical University who had coronary CTA between 3 months and 3 years before the ACS event, with a total of 240 lesions. Lesions from 2020 (n=154) were included in the training set, and lesions from 2021 (n=86) were included in the test set for internal validation. We evaluated the role of plaque characteristics, hemodynamic parameters and pericoronary adipose tissue (PCAT) attenuation from CTA in identifying culprit ACS lesions. In the training set, logistic regression was used to screen CTA-derived parameters with P values <0.05 for the model construction. Logistic regression, random forest, Bayesian and K-nearest neighbor algorithms were used to build classification models, and their performance was assessed using the test set. The following models were established to evaluate the effectiveness of different combinations of models to identify culprit lesions: Model 1 was established for plaque characteristics; Model 2 was established for hemodynamic parameters; Model 3 was established for PCAT attenuation; Model 4 was established for plaque characteristics and hemodynamic parameters; and Model 5 was established for plaque characteristics, hemodynamic parameters and PCAT attenuation. A total of ten high-risk factors were screened for the ML model construction, and the ML model based on the logistic regression algorithm had the best performance among the four algorithms (accuracy =0.721; sensitivity =0.892; specificity =0.592; positive prediction =0.623; and negative prediction =0.879). In this model, the minimum lumen area, positive remodeling and lesion-specific fat attenuation index (FAI) were the risk factors significantly associated with the culprit lesion. Analysis of the effect of different combinations of models to identify culprit lesions showed that Model 5 had the best predictive effect (AUC =0.819 and 95% CI: 0.722-0.916). ACS can be predicted using ML based on CTA parameters. Compared to other models, the model combining plaque characteristics, hemodynamic parameters and PCAT attenuation performed best in predicting the culprit lesion.

The effect of different combinations of biological fertilizer and different doses of chemical fertilizer on the severity of late blight on potato plants

Late blight disease is one of the problems faced by potato farmers. Chemical fertilizer and biological fertilizer (bio-fertilizer) reported have a potential to control late blight disease. However, there is a lack of research on the effect of combining the use of different types of bio-fertilizers with different doses of chemical fertilizers in potato plants to late blight disease. This study aims to analyze the effect of combining different types of bio-fertilizers and doses of chemical fertilizers on late blight disease in potato plants. This research was conducted from June to August in Sembalun District, West Nusa Tenggara Province. This study used fifteen combination treatments of bio-fertilizers and doses of chemical fertilizers. Each of these treatments included: A (control); B, C, D, E (bio-fertilizers, without chemical fertilizers); Treatment F, G, H, I (bio-fertilizers, chemical fertilizers 100%); J, K, L, M (bio-fertilizers, chemical fertilizers 50%); N (without bio-fertilizer, 100% chemical fertilizer) and O (without bio-fertilizer, chemical fertilizer 50%). The results showed that there was no significant difference in the effect of the combination of different bio-fertilizers and doses of chemical fertilizers on late blight severity.

Influence of Bio-Fertilizer Type and Amount Jointly on Microbial Community Composition, Crop Production and Soil Health

To ensure long-term food production in a changing world, it is critical to identify field management practices that increase crop yields and maintain soil health. Additionally, sustainable agriculture needs to provide experimental evidence to support the use of traditional agricultural practices. In this study, a 20-year investigation of the effects of different combinations of fertilizer types (control, chemical fertilizer, organic fertilizer, and bio-fertilizer) and fertilization amount (conventional dosages and high dosages) on wheat yield and soil health, including soil enzyme activity and microbial biomass, soil microbial diversity, and crop yield. Our long-term study indicates that the use of high dosages of bio-fertilizer can increase the fertilizer yield contribution rate by a minimum of 76.7% compared to other management combinations. Furthermore, this practice can improve soil biological quality, including the concentration of soil microbial biomass carbon, promote bacterial biodiversity, and enhance the soil health index. The effect of high dosages fertilizer was greater than that of conventional dosages fertilizer. The highest soil health index was 0.88 in high dosage bio-fertilizer, and the lowest was 0.12 in chemical fertilizer. In summary, these results suggested that the use of bio-fertilizer can help maintain soil health and crop productivity in the long term.

Effects of biochar coupled with chemical and organic fertilizer application on physicochemical properties and in vitro digestibility of common buckwheat (Fagopyrum esculentum Moench) starch

Common buckwheat starch, a functional ingredient, has wide food and non-food applications. Excessive chemical fertilizer application during grain cultivation decreases quality. This study examined the effects of different combinations of chemical fertilizer, organic fertilizer, and biochar treatment on the physicochemical properties and in vitro digestibility of starch. The amendment of both organic fertilizer and biochar was observed to have a greater impact on the physicochemical properties and in vitro digestibility of common buckwheat starch in comparison to organic fertilizer amendment solely. The combined application of biochar, chemical, and organic nitrogen in an 80:10:10 ratio significantly increased the amylose content, light transmittance, solubility, resistant starch content, and swelling power of the starch. Simultaneously, the application reduced the proportion of amylopectin short chains. Additionally, this combination decreased the size of starch granules, weight-average molecular weight, polydispersity index, relative crystallinity, pasting temperature, and gelatinization enthalpy of the starch compared to the utilization of chemical fertilizer alone. The correlation between physicochemical properties and in vitro digestibility was analyzed. Four principal components were obtained, which accounted for 81.18 % of the total variance. These findings indicated that the combined application of chemical fertilizer, organic fertilizer, and biochar would improve common buckwheat grain quality.

Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals.

The continuous advancements in healthcare technology have empowered the discovery, diagnosis, and prediction of diseases, revolutionizing the field. Artificial intelligence (AI) is expected to play a pivotal role in achieving the goals of precision medicine, particularly in disease prevention, detection, and personalized treatment. This study aims to determine the optimal combination of the mother wavelet and AI model for the analysis of pediatric electroretinogram (ERG) signals. The dataset, consisting of signals and corresponding diagnoses, undergoes Continuous Wavelet Transform (CWT) using commonly used wavelets to obtain a time-frequency representation. Wavelet images were used for the training of five widely used deep learning models: VGG-11, ResNet-50, DensNet-121, ResNext-50, and Vision Transformer, to evaluate their accuracy in classifying healthy and unhealthy patients. The findings demonstrate that the combination of Ricker Wavelet and Vision Transformer consistently yields the highest median accuracy values for ERG analysis, as evidenced by the upper and lower quartile values. The median balanced accuracy of the obtained combination of the three considered types of ERG signals in the article are 0.83, 0.85, and 0.88. However, other wavelet types also achieved high accuracy levels, indicating the importance of carefully selecting the mother wavelet for accurate classification. The study provides valuable insights into the effectiveness of different combinations of wavelets and models in classifying ERG wavelet scalograms.

A study on the effect of silver nitrate and 8-hydroxyquinoline citrate pulsing solutions on Lilium cut flowers

Lilium is one of the most important cut flowers in commercial markets, giving customers ornamental value. Fresh flowers, a highly perishable item, need more care and proper treatment for their longer post-harvest life and due to this, the end users face the post-harvest losses of cut flowers. Such losses can be minimized by using preservative chemical, which plays an important role in increasing the vase life of flowers. To increase the post-harvest life of lilium cut flowers cv. ‘Pavia’, the present investigation was aimed to study the effect of different combinations and concentrations of silver nitrate at 50, 75 and 100 ppm and 8-hydroquinoline citrate at 100, 150 and 200 ppm pulsing solutions with 20 % sucrose. Three replications were completely randomised with 16 treatments and one control. Silver nitrate showed better results in flower bud opening, flower bud opening to complete flowering, flower size, bloom life, dry weight and dry matter percentage. Among the treatment concentrations, AgNO3 at 50 ppm with 20% sucrose showed the most effective result on enhancing the selected parameters and improved flower quality during post-harvest life. Among the treatment combinations, 8-HQC at 100 ppm + AgNO3 at 75 ppm with 20 % sucrose showed better results. These findings will be useful to researchers, farmers, and end users to retain the ornamental value of lilium cut flowers for longer than usual.