Original Product Research Articles

Assessing And Mitigating The Impact Of Fake News In Nigeria

\The high rate fake news - news (presentation) that has been distorted or totally false - in the Nigerian media space is at the moment of concern to communication scholars, journalists, publicists, and political leaders. Like most fake products, fake news is made to look like or to have the characteristics of the original product – magnitude, timeliness, novelty, proximity, etc., thereby having the lethal impact of propaganda. The present study examines the sources, patterns of fake news dissemination, impact of and solutions to fake news in Nigeria. Questionnaires were randomly administered online to 398 heavy users of social media (257 bloggers; 97; regular users of social media who are non-professionals; 37 journalists and 7 others based on their followership ratings. The investigation revealed that most fake news in Nigeria revolve social, entertainment, and religious issues and are reported more often in “text” and “videos” on Facebook, Instagram, and WhatsApp. The main sources of fake news in Nigeria are non-professional journalists and the high rate of fake news has largely been due to the skilful framing by their disseminators, lack of time and skill to fact-check fake news by the audience, and lack of effective enforcement of best journalism practices.

Mixture reliability analysis of a product consisting of new and remanufactured components

PurposeThe rapid increase in importance of the remanufacturing operation in the present scenario is just because of its ability to retrieve the functional value of the End-of-Use or End-of-Life products which is as good as the original product. However, customers are still concerned about the reliability of the remanufactured product which is considered as one of the major problems in the area of remanufacturing. The purpose of this paper is to study and analyse the behavioural pattern of the mixture failure rate of a remanufactured product.Design/methodology/approachIn order to analyse the behavioural pattern of the mixture failure rate, different proportions of new and remanufactured products are mixed. In this paper, a two-parameter Weibull distribution is used to observe the mixture failure rate characteristics. Also, the mixture failure rate of the remanufactured product is evaluated under two conditions, that is when the shape parameter of new and remanufactured components is the same and when the shape parameter values are different.FindingsFrom the analysis, it is observed that the mixture failure rate is always decreasing in nature when the shape parameter values are same. In that case, the value of the mixture failure rate depends only on the proportion of the new components. When the shape parameter values are different, the mixture failure rate characteristics depend upon the shape parameter value of the remanufactured product.Originality/valueThe results of the research can be applied to any remanufactured automotive product. This study also shows the behavioural characteristics of the mixture failure rate of a remanufactured product at different mixture proportions.

Mineralogy and Geochemistry of Listvenite-Hosted Ni–Fe Sulfide Paragenesis—A Case Study from Janjevo and Melenica Listvenite Occurrences (Kosovo)

The main goal of this paper is to determine the order of the paragenetic sequence and phase transitions of the Ni–Fe sulfide association hosted in listvenites. Listvenites are hydrothermally altered mafic and ultramafic rocks that are often associated with active tectonic settings, such as transform faults, suture zones, and regional extensional faults, usually in contact with volcanic or carbonate rocks. Listvenitization is displayed by a carbonation process when the original olivine, pyroxene, and serpentine group minerals are altered to Mg–Fe–Ca carbonates (magnesite, calcite, dolomite, and siderite), talc, quartz, and accessory Cr spinel, fuchsite, and Ni–Fe sulfides. The formed rocks are highly reactive; therefore, very often, younger hydrothermal processes are observed, overprinting the mineralogy and geochemistry of the original listvenitization products, including accessory Ni–Fe sulfide paragenesis. The studied samples of listvenites were collected from two locations in Kosovo (Vardar Zone): Janjevo and Melenica. The Ni–Fe sulfide textures and relationships with the surrounding listvenite-hosted minerals were obtained using reflected and transmitted light microscopy, while their chemical composition was determined using an electron microprobe. They form accessory mono-or polymetallic aggregates that usually do not exceed 100 μm in size disseminated in the studied listvenites. Generally, the paragenetic sequence of Ni–Fe sulfides is divided into three stages. The first pre-listvenite magmatic phase is represented by pentlandite and millerite. The second listvenite stage consists of Ni–Co bearing pyrite I (Ni content up to 11.57 wt.% [0.24 apfu], and Co content up to 6.54 wt.% [0.14 apfu]) and differentiated thiospinels (violarite + siegenite ± polydymite). The last, late listvenite stage is represented by younger gersdorffite−ullmannite and base metal mineralization: pyrite + marcasite + sphalerite + galena ± chalcopyrite ± sulfosalts. The findings obtained should help in the interpretation of many disseminated accessory Ni–Fe–Co mineralizations associated with mafic and ultramafic rocks worldwide.

Assessing and mitigating environmental impacts of construction materials: Insights from environmental product declarations

Construction activities significantly impact natural resources and the environment, accounting for 40 % of global energy consumption and 36 % of carbon emissions. This study evaluates the environmental impacts of various primary construction materials by leveraging more original and comprehensive Environmental Product Declarations (EPDs) and incorporates insights from prevvious research to summarize effective mitigation strategies. Analyzing the environmental impact per unit mass is a critical step toward building-level assessments, enabling the strategic replacement of high-pollution materials with lower-impact alternatives to optimize environmental outcomes. The quantitative analysis of data from 180 EPDs indicates that aluminum and steel have the highest median total environmental impacts per unit mass, followed by plastics, while wood, cement, and concrete have relatively lower impacts. Overall, Abiotic Depletion Potential (ADP) and Global Warming Potential (GWP) are identified as the primary environmental impacts of construction materials. At the building level, the environmental footprint varies based on the quantity of each material used, leading to substantial overall impacts. Furthermore, this study explores the relationships between different environmental impacts, finding positive correlations between GWP and Primary Energy Non-Renewable Energy (PENRE), Acidification Potential (AP), and Photochemical Ozone Creation Potential (POCP). A comprehensive literature review identifies the key environmental hotspots and mitigation strategies for high-impact materials such as aluminum, steel, cement, and concrete. Common strategies include innovative production methods, waste recycling, carbon capture and storage (CCS), and the development of low-carbon materials. By integrating quantitative EPDs analysis with a qualitative literature review, this research provides a holistic understanding of the environmental burdens of construction materials, offering a valuable framework for developing sustainable policies and practices within the construction industry.

Insight into evolution characteristics of pyrolysis products of HLH and HL coal with Py-VUVPI-MS and DFT

To achieve a comprehensive understanding of the influence of chemical structure on the evolution characteristics of coal pyrolysis products, pyrolysis reaction of two kinds of low rank coal (Huolinhe and Huangling coal) were investigated with pyrolysis-vacuum ultraviolet photoionization mass spectrometry (Py-VUVPI-MS). The soft ionized mass spectral detection can provide evolved information of original pyrolysis product. The chemical structure of coal samples was characterized by solid-state 13C-NMR, indicating HLH coal with more branched chain and longer aliphatic chain structure. The bond dissociation enthalpies (BDE) of β-Cal-Cal and β-Cal-O within model compounds were obtained with density functional theory. The difference of peak temperature with maximum evolution was collected to investigate the effect of the chemical environment on evolution behavior of pyrolysis products. The results reveal that branched and long aliphatic side-chains can reduces BDE of β-Cal-Cal and β-Cal-O, resulting in the lower peak temperature of pyrolysis products derived from HLH coal. Substituent groups (such as alkyl and hydroxyl groups) attached on the aromatic rings can reduce peak temperatures. Moreover, the effects of the different substituted position on the aromatic ring of the methyl group presented on differences of the BDE. An increase in aromatic ring size correlates with a certain degree of reduction in BDE for β-Cal-Cal; consequently, peak temperature of pyrolysis products with larger aromatic rings is lower. The pyrolysis behavior of coal were discussed based on the experimental observations and theoretical calculation, which are beneficial to understand the reaction route and mechanism of coal pyrolysis.

Comparison of different solar dryers with and without heat storage for crop drying: A review

AbstractSolar drying systems have proven to be cost‐effective and environmentally friendly for drying various products. An extensive investigation of solar dryers with different designs, applications, and operating principles is conducted. Compared to direct drying, solar drying improves product quality by lowering moisture content without compromising the original product's qualities. Solar dryers are of two types: passive solar dryers and active solar dryers. Passive‐mode solar dryers circulate air through natural convection, whereas active ones circulate air through forced convection. Crop‐affected design characteristics include crop sensitivity, cost and time available to dry the crop, crop moisture content, the level of drying required, and so on. A wide range of research has been carried out on the thermal modeling of the dryer, using different designs. This article also discussed and compared the drying performance of three basic solar dryers: direct solar dryer, dryer with PVT air collection, and phase change materials (PCM). Even though PCM dryers are more expensive and uncommon, their ability to speed up drying at night makes them impactful.

AHP-CRITIC-TOPSIS-based analysis of the influence of young people’s preferences on the design of Funan wicker home products

Wicker home products, handcrafted from sustainable materials such as willow, vine, and bamboo, embody principles of sustainable development. However, they face a lack of clear appeal among young consumers in the Chinese market. This study utilizes the AHP-CRITIC-TOPSIS method to examine user preferences for Funan Wicker home products to enhance the original products based on young users’ choices in the contemporary era. Using the AHP method, 14 evaluation indicators were selected across three key factors and determined subjective weights. Objective weights were calculated using the CRITIC method to establish a comprehensive ranking. Subsequently, the TOPSIS method was employed to evaluate and order the nine design alternatives. The findings highlight a strong emphasis on emotional criteria in the evaluation process, with variables such as Weaving Fineness, Stress Release, Pleasure, and Cultural Value significantly influencing user preference. According to the calculations, the program IX with the highest proximity emerged as the optimal choice. Based on these results, the study refines design focus and quantitative indexes for willow home product designers, proposing innovative design methods that offer theoretical support and practical guidance for the development of willow products in Funan, China.

US Commercial Plans Increase Choice Of Biosimilar And Originator Products; Market Net Prices Decrease.

Biosimilars drugs are almost identical copies of original biologic products. Early biosimilars had slower adoption and savings than expected; however, biosimilars launched in recent years have had more success. With several biosimilar launches planned in the next few years, it is important to understand how the state of the market might foretell significant market savings in the future. To do so, we explored how the introduction of biosimilars affected originator-biosimilar markets during the period 2017-22. We found that after biosimilar availability, payers increasingly allowed choice of preferred products. By 2022, 76percent of commercial payers' coverage policies listed two or more products (originator or biosimilar) as first-line options. Biosimilar market shares exceeded those of originators a mean of three years after first biosimilar launch, and originator-biosimilar market average sales price declined substantially. Taken together, these findings provide evidence of a functioning competitive market.

Physicochemical, sensory, and safety evaluation of dry-cured fermented sausages and its plant-based meat analog

The present study aimed to evaluate the physicochemical, sensory, and safety differences among meat-based and plant-based dry-cured fermented sausages. Different commercial meat- and plant-based dry-cured fermented spreadable sausages were evaluated, considering different quality parameters: pH, aW, moisture, fat and protein content, lipid oxidation, instrumental texture, and sensory attributes. Within the meat-based category, some significant physicochemical differences attributed to the different formulations were detected. The aw showed how some of the dry-cured sausages could allow the development of pathogenic bacteria, independently of their meat or plant origin. On the other hand, similarities were detected between meat- and plant-based sausages, with the most important differences identified in sensory terms of flavor and texture. The acceptability of the meat-based sample was 3.80 over 5 and the plant-based one roughly was over 2. Thus, the scientific evaluation of a novel plant-based sausage did not reach the expectations of the consumers who compared it with the meat-based original product. Some physicochemical characteristics that may be improved were noted, and some safety issues that should be addressed in further studies.

Evaporating temperature estimation of refrigeration systems based on vibration data-driven soft sensors

The evaluation of the operating conditions of refrigeration compressors once installed in household appliances is challenging due to the need to install pressure transducers, a process which requires system evacuation and refrigerant reintroduction. In addition, changes in the piping modify the characteristics of the original product. This paper proposes a soft-sensing technique based on vibration measurements of the compressor surface to predict the evaporating temperature. Different machine learning (ML) techniques are evaluated as data-driven prediction models, namely multilayer perceptron (MLP) neural networks, least squares boosting, generalized additive model, random forest, extreme learning machine, and random vector functional link neural networks. These techniques were applied to data obtained from a test rig designed to emulate compressor operation in a refrigeration system, with an operating envelope from -30°C to -10°C for the evaporating temperature and from 34°C to 54°C for the condensing temperature. The results showed that, with a single vibration measurement point, it was possible to use an MLP technique to estimate the evaporating temperature with a root mean squared error of 1.74°C in a non-intrusive way. For the other prediction techniques, the errors were a bit higher than for the MLP, but the maximum error value was about 2.5°C in all cases.

Scaffold overlay of flavonoid-inspired molecules: Discovery of 2,3-diaryl-pyridopyrimidin-4-imine/ones as dual hTopo-II and tubulin targeting anticancer agents

Almost half of all medicines approved by the U.S. Food and Drug Administration have been found to be developed based on inspiration from natural products (NPs). Here, we report a novel strategy of scaffold overlaying of scaffold-hopped analogs of bioactive flavones and isoflavones and installation of drug-privileged motifs, which has led to discovery of anticancer agents that surpass the functional efficiency of the original NPs. The analogs, 2,3-diaryl-pyridopyrimidin-4-imine/ones were efficiently synthesized by an approach of a nitrile-stabilized quaternary ammonium ylide as masked synthon and Pd-catalyzed activation–arylation methods. Compared to the NPs, these NP-analogs exhibited differentiated functions; dual inhibition of human topoisomerase-II (hTopo-II) enzyme and tubulin polymerization, and pronounced antiproliferative effect against various cancer cell lines, including numerous drug-resistant cancer cells. The most active compound 5l displayed significant inhibition of migration ability of cancer cells and blocked G1/S phase transition in cell cycle. Compound 5l caused pronounced effect in expression patterns of various key cell cycle regulatory proteins; up-regulation of apoptotic proteins, Bax, Caspase 3 and p53, and down-regulation of apoptosis-inhibiting proteins, BcL-xL, Cyclin D1, Cyclin E1 and NF-κB, which indicates high efficiency of the molecule 5l in apoptosis-signal axis interfering potential. Cheminformatics analysis revealed that 2,3-diaryl-pyridopyrimidin-4-imine/ones occupy a distinctive drug-relevant chemical space that is seldom represented by natural products and good physicochemical, ADMET and pharmacokinetic-relevant profile. Together, the anticancer potential of the investigated analogs was found to be much more efficient compared to the original natural products and two anticancer drugs, Etoposide (hTopo-II inhibitor) and 5-Flurouracile (5-FU).

Assessing a machine learning-based downscaling framework for obtaining 1km daily precipitation from GPM data

Hydro-meteorological monitoring through satellites in arid and semi-arid regions is constrained by the coarse spatial resolution of precipitation data, which impedes detailed analyses. The objective of this study is to evaluate various machine learning techniques for developing a downscaling framework that generates high spatio-temporal resolution precipitation products. Focusing on the Hai River Basin, we evaluated three machine learning approaches—Extreme Gradient Boosting (XGBoost), Random Forest (RF), and Back Propagation (BP) neural networks. These methods integrate environmental variables including land surface temperature (LST), Normalized Difference Vegetation Index (NDVI), Digital Elevation Model (DEM), Precipitable Water Vapor (PWV), and albedo, to downscale the 0.1° spatial resolution Global Precipitation Measurement (GPM) product to a 1 km resolution. We further refined the results with residual correction and calibration using terrestrial rain gauge data. Subsequently, utilizing the 1 km annual precipitation, we employed the moving average window method to derive monthly and daily precipitation. The results demonstrated that the XGBoost method, calibrated with Geographical Difference Analysis (GDA) and Kriging spatial interpolation, proved to be the most accurate, achieving a Mean Absolute Error (MAE) of 58.40 mm for the annual product, representing a 14 % improvement over the original data. The monthly and daily products achieved MAE values of 11.61 mm and 1.79 mm, respectively, thus enhancing spatial resolution while maintaining accuracy comparable to the original product. In the Hai River Basin, key factors including longitude, latitude, DEM, LST_night, and PWV demonstrated greater importance and stability than other factors, thereby enhancing the model's precipitation prediction capabilities. This study provides a comprehensive assessment of the annual, monthly, and daily high-temporal and high-spatial resolution downscaling processes of precipitation, serving as an important reference for hydrology and related fields.

A Method for the Colorimetric Quantification of Sodium Lauryl Sulphate in Tablets: A Proof of Concept.

The deformulation stage of original drug products, which includes the quantification of critical excipients, is crucial for the successful development of generic drug products of solid dosage form. Sodium lauryl sulphate (SLS) belongs to the group of critical excipients due to its influence on the bioavailability of drugs, such as metformin. The purpose of this work is to carry out a feasibility study in order to develop a simple, economical, and robust analytical method for the quantification of SLS in metformin-containing tablets after their dissolution in water. Firstly, SLS is extracted with chloroform in acidic conditions, followed by the addition of methylene blue (MB) in order to form a SLS-MB ion pair, which is then measured photometrically at a wavelength of 651 nm. Additionally, interference from matrix components (excipients and APIs) was assessed, and it was found that metformin also forms a blue complex; therefore, this specific extraction method was developed. Other matrix components did not interfere with SLS determination. This method shows a well-estimated precision of 3.3% and accuracy of 5%, a calibration linearity of R2 = 0.99990, and a working range of 0.38 µg/mL to 10 µg/mL of SLS in water. The midpoint of the calibration graph corresponds to the concentration of SLS obtained by dissolving a single tablet in 1 L of water. This method seems appropriate for total SLS determination in tablets and can be applicable for deformulation.

First experience in endoscopic lung volume reduction with the FreeFlow Coil #4: A case series with three patients

Lung volume reduction therapy is an established treatment for patients with severe emphysema of the lung. In Germany, the treatment with nitinol coils is the only method for endoscopic lung volume reduction in patients with positive collateral ventilation approved by the Gemeinsamer Bundesausschuss. Therefore this procedure can be performed as standard-of-care and has assured reimbursement. After the production of the initial coils was stopped for years, when the only manufacturer had been bought by a large corporation, by the end of 2022 there was a new nitinol-coil, the so called Coil #4, becme available in the European market. The new Coil #4 has a different shape, different application catheter and the implantation procedure differs from that of the original product. We report our experience in endoscopic lung volume reduction with the new Coil #4 in three patients with emphysema. The procedure was performed without complications. All three of them showed improvement in lung function parameters meeting minimal clinically important differences. In two of three patients, we also saw clinically relevant improvement in the 6MWT distance und improvements in SGRQ und CAT-Score. In our opinion, this case series is just a prospect of the possibilities that come with the Coil #4. With due caution, we will continue to offer the Coil #4 as a treatment for selected patients under constant evaluation of the outcome until more data is available.

Perbandingan Penggunaan Caliper Racing dan Kecepatan Terhadap Jarak Pengereman Roda Depan Sepeda Motor Matic 110cc

Caliper is an important thing in a vehicle, because at this time there are many caliper brands from domestic and foreign manufacturers with different qualities. Caliper quality affects braking performance. So it takes a caliper that has the best braking performance, many automotive manufacturers introduce calipers with different brands such as domestic or foreign brands, which are no less good quality with original products. The purpose to be achieved in this study is to determine the effect of differences in the type of standard caliper with racing caliper on braking distance and braking time of Scoopy 110 CC motorcycle in order to get which caliper gets better braking performance. The results of the study obtained an average decrease in braking time of 6.27% at a speed of 20 km / h, 6.4% at a speed of 40 km / h, and 6.63% at a speed of 60 km / h and an average decrease in braking mileage of 6.14% at a speed of 20 km / h, 6.24% at a speed of 40 km / h, and 6.34% at a speed of 60 km / h.

Spherical nanocrystalline ScYSZ thermal barrier material by a novel supersonic plasma spheroidization method: Simple synthesis and excellent performance

The performance of plasma sprayed thermal barrier coatings (TBCs) is strongly dependent on the quality of the feedstock powders, which usually are fabricated by conventional spray drying and multi-step sintering methods. In this work, a novel supersonic plasma spheroidization technology was employed to fabricate the spherical nanocrystalline Sc2O3-Y2O3 co-stabilized ZrO2 (ScYSZ) powder. The deformation process from the irregular powder to the spherical one was stimulated by the COMSOL phase field simulation. The results suggested that the original irregular pyrolysis products of ScYSZ precursors were aggregated into spherical powders by plasma spheroidization technology. The COMSOL simulations verified that the powder changed from irregular particles to spherical ones. The spheroidized ScYSZ particles exclusively consisted of non-transformed t’-ZrO2 phase and showed good fluidity, smooth surface and high apparent density, which were expected to have a broader application prospect in the field of TBCs and other ceramic coatings.

On Inner Products Derived from the Standard n-Inner Product on an Inner Product Space

In this paper, we study relations between inner products derived from the standard n-inner product defined on an inner product space. In particular, we are interested in knowing when orthogonality with respect to the original inner product is preserved by the derived inner product.

Plant-Based Alternatives to Mold-Ripened Cheeses as an Innovation among Dairy Analogues.

There is a growing demand for vegan products and plant-based food when dealing with the impact of livestock on the climate crisis. The aim of this study was to develop a formulation for a plant-based analogue of mold-ripened cheese. Were investigated the following plant materials: cashews, pistachios, soy flour, chickpea flour, pea protein, pumpkin protein, hemp protein, and spirulina powder. Plant matrices were fermented with lactic acid bacteria (LAB) starter cultures and cheese starter cultures of mold species Geotrichum candidum and Penicillium camemberti. All microorganisms' growth were tested in a vegan-type culture medium. Calcium supplementation was applied and followed by an in-depth analysis of the elemental composition of selected analogues with inductively coupled plasma optical emission spectroscopy. The physicochemical and organoleptic analyses of plant-based alternatives of Camembert were conducted. This is the first paper describing novel formulations for plant-based alternatives for Camembert cheese prepared with techniques mimicking the original milk product.

IMERG BraMaL: An improved gridded monthly rainfall product for Brazil based on satellite‐based IMERG estimates and machine learning techniques

AbstractPrecipitation is one of the main components of the hydrological cycle and its precise quantification is fundamental to providing information for the understanding and prediction of physical processes. Precipitation observations based on ground‐based devices (manual and automatic rain gauges) are highly accurate but have limited spatial coverage. On the other hand, remote sensing products cover large areas but with lower accuracy. In this context, this study aims to provide a more accurate monthly precipitation estimating product, with lower latency than other products but without directly relying on field data. The methodology consists of applying a machine learning method (k‐nearest neighbours algorithm) to satellite‐based remote sensing data (IMERG Early Run product) and re‐analysis‐based (MERRA‐2) variables with a particular connection to precipitation. The method was applied over the Brazilian territory, which features a large range of precipitation regimes. This methodology resulted in the development of an adjusted IMERG product (IMERG BraMaL). Compared with the original IMERG products (Early Run and Final Run), IMERG BraMaL has improved the evaluated metrics between ground‐based and satellite data in almost all analyses. For instance, KGE (Kling‐Gupta efficiency) went from lower values (0.70 and 0.82 for Early and Late Run, respectively) to values above 0.86 in the IMERG BraMaL. The adjusted product also presented superior performance statistics compared with other global precipitation products (CHIRPS, PERSIANN‐CDR, and MSWEP). The main advantages of IMERG BraMaL compared with IMERG Final Run are (i) much faster availability to the end‐users; (ii) non‐dependency on any field data, allowing its application in areas where rain gauge data is unavailable or of low quality; (iii) the non‐relationship of errors to local features; and (iv) the much‐improved estimations in regions in Brazil where, historically, satellite‐based products usually underestimate the observed data.

Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation

Accurate and reliable estimation of actual evapotranspiration (AET) is essential for various hydrological studies, including drought prediction, water resource management, and the analysis of atmospheric–terrestrial carbon exchanges. Gridded AET products offer potential for application in ungauged areas, but their uncertainties may be significant, making it difficult to identify the best products for specific regions. While in situ data directly estimate gridded ET products, their applicability is limited in ungauged areas that require FLUXNET data. This paper employs an Extended Triple Collocation (ETC) method to estimate the uncertainty of Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network (FLDAS), and Maximum Entropy Production (MEP) AET product without requiring prior information. Subsequently, a merged ET product is generated by combining ET estimates from three original products. Furthermore, the study quantifies the uncertainty of each individual product across different vegetation covers and then compares three original products and the Merged ET with data from 645 in situ sites. The results indicate that GLEAM covers the largest area, accounting for 39.1% based on the correlation coefficient criterion and 39.9% based on the error variation criterion. Meanwhile, FLDAS and MEP exhibit similar performance characteristics. The merged ET derived from the ETC method demonstrates the ability to mitigate uncertainty in ET estimates in North American (NA) and European (EU) regions, as well as tundra, forest, grassland, and shrubland areas. This merged ET could be effectively utilized to reduce uncertainty in AET estimates from multiple products for ungauged areas.