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The farming pattern of crayfish significantly impacts their quality, safety, and nutrition. Typically, green and ecologically friendly products command higher economic value and market competitiveness. Consequently, intensive farming methods are frequently employed in an attempt to replace these environmentally friendly products, leading to potential instances of commercial fraud. In this study, stable isotope and multi-element analysis were utilized in conjunction with multivariate modeling to differentiate between pond-intensive, paddy-ecologically, and free-range cultured crayfish. The four stable isotope ratios of carbon, nitrogen, hydrogen, and oxygen (δ13C, δ15N, δ2H, δ18O) and 20 elements from 88 crayfish samples and their feeds were determined for variance analysis and correlation analysis. To identify and differentiate three different farming pattern crayfish, unsupervised methods such as hierarchical cluster analysis (HCA) and principal component analysis (PCA) were used, as well as supervised multivariate modeling, specifically partial least squares discriminant analysis (PLS-DA). The HCA and PCA exhibited limited effectiveness in classifying the farming pattern of crayfish, whereas the PLS-DA demonstrated a more robust performance with a predictive accuracy of 90.8%. Additionally, variables such as δ13C, δ15N, δ2H, Mn, and Co exhibited relatively higher contributions in the PLS-DA model, with a variable influence on projection (VIP) greater than 1. This study is the first attempt to use stable isotope and multi-element analysis to distinguish crayfish under three farming patterns. It holds promising potential as an effective strategy for crayfish authentication. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Tea plant is an acidophilic plant, and soil pH has an important effect on the absorption and enrichment of elements, tea plant growth and quality. In this study, rhizosphere soils and leaves of tea plants from 30 tea plantations were collected to determine soil pH and multi-element content of soil and leaves of tea plants, to obtain and validate key elements that are enriched by pH affecting tea plants, and to analyze the effects of pH on the growth and quality of tea plants. The results showed that soil pH significantly affected the enrichment of 15 elements by tea plants, and the enrichment coefficients of 11 elements (C, Mg, Si, N, P, Mn, Sr, Cd, S, Ca and Sb) tended to increase significantly with the increase of soil pH, while the opposite was true for the other four elements (Cu, Rb, Ba and Al). TOPSIS analysis showed that soil pH had the greatest effect on tea plant enrichment of seven elements, namely N (100%), Mn (43.32%), C (39.22%), P (27.66%), Sr (15.30%), Mg (13.41%) and Ba (10.47%). Pot experiments with tea seedlings also verified that soil pH significantly affected the enrichment of tea leaves for seven key elements. Moreover, with the increase of soil pH, the growth indexes, photosynthesis indexes and quality indexes of tea seedlings showed a significant upward trend. Interaction analysis showed that the enhanced enrichment of N, Mn, C, P, Sr and Mg by tea plants was beneficial to increase the photosynthetic capacity of tea plants, promote the growth of tea plants and improve the quality of tea leaves. This study provides an important theoretical basis for the cultivation and management of tea plants. [ABSTRACT FROM AUTHOR]

The deliberately origin mislabeling of sweet cherry causes significantly disruptions to market integrity and consumers' trust. In this study, 153 cherry samples from five provinces in China and the corresponding irrigation water and soil samples were collected. 5 stable isotope ratios (δ13C, δ15N, δ2H, δ18O, 87Sr/86Sr) and 8 multi-element contents (Na, Mg, P, K, Ca, Fe, Zn, Se) of cherry were determined by EA-IRMS and ICP-MS to study isotopic fractionation and elemental enrichment mechanisms for origin traceability. The results show the δ2H and δ18O of cherry exhibit a strong correlated with its irrigation water (r2 > 0.85), while δ15N, 87Sr/86Sr, Fe, Zn and Se contents are related to its cultivated soil (r2 > 0.75), and the δ13C is related to the local microclimate. ANOVA reveals that the regional differences of δ13C, δ2H, δ18O, 87Sr/86Sr as well as Na, Mg, Ca contents of cherry are significant (P

Routine analysis of inorganic analytes in whole water samples from rivers (unfiltered river water) is rarely reported in scientific publications. However, this sample type is valuable and often used in long-term monitoring, regulation, and catchment element budgets, as it includes the dissolved, colloidal, and particulate fraction in one sample type. Preservation measures are not needed and solid–liquid partitioning can be disregarded, which simplifies automated sampling and storage procedures. In this study, we provide several digestion protocols for whole water samples from rivers and the subsequent multi-element analysis of 67 major, minor, and trace elements: Li, Be, B, Na, Mg, Al, Si, P, S, K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, Ge, As, Se, Br, Rb, Sr, Y, Zr, Nb, Mo, Ru, Ag, Cd, In, Sn, Sb, Te, Cs, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, W, Ir, Pt, Au, Hg, Tl, Pb, Bi, Th, U. In the absence of whole water reference materials for inorganic analytes, we introduce simulated whole water samples by suspending sediment reference materials as quality control measures. The applicability for improved routine water quality monitoring was successfully tested on samples from different rivers revealing variations of the element fingerprints over time. [ABSTRACT FROM AUTHOR]

Summary: The unique geographical environment of Guizhou has created the unique quality characteristics of green tea. To distinguish green tea from different regions in Guizhou, and provide a theoretical basis for origin traceability and quality evaluation for producers and consumers, this article analysed 12 mineral elements, 2 stable isotopes and 3 biochemical components in green tea samples from different regions in Guizhou, and combined with analysis of variance (ANOVA), principal component analysis (PCA), linear discriminant analysis (LDA) and orthogonal partial least squares discriminant analysis (OPLS–DA), the possibility of identifying and distinguishing the origin of green tea in Guizhou was studied. The results show that LDA has the highest discriminant accuracy, which can reach 93.3%. In addition, the data showed that Ca, Zn, Mn, Cr, Pb, As and caffeine were important variables to distinguish green tea samples from different regions of Guizhou. [ABSTRACT FROM AUTHOR]

Among the most renowned Ethiopian food crops, teff (Eragrostis tef (Zucc.)Trotter) is the most nutritious and gluten-free cereal. Because of the increase in demand for teff, it is necessary to establish geographic origin authentication of traditional teff brands based on multi-element fingerprint. For this purpose, a total of 60 teff samples were analysed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Accuracy of the laboratory procedure was verified by the analysis of rice flour standard reference material (NIST SRM 1568b). In this context, four traditional teff brands (Ada'a, Ginchi, Gojam and Tulu Bolo) were analytically characterized using multi-element fingerprint and further treated statistically using linear discriminant analysis (LDA). Due to obvious extrinsic Fe, Al and V contamination, these elements were excluded from the discriminant model. Five elements (Cu, Mo, Se, Sr, and Zn) significantly contributed to discriminate the geographical origin of white teff. On the other hand, Mn, Mo, Se and Sr were used as discriminant variables for brown teff. LDA revealed 90 and 100% correct classifications for white and brown teff, respectively. Overall, multi-element fingerprint coupled with LDA can be considered a suitable tool for geographic origin discrimination of traditional teff brands. [ABSTRACT FROM AUTHOR]

High thrust nuclear-powered spacecraft is the key technology for deep space exploration and low Earth orbit transportation in the future, the nuclear thermal propulsion system has the advantages of high specific impulse, high thrust, long operating life and repeatable start-up, which can provide reliable power support for future deep space exploration missions. Multi-element (U, Zr, Nb)C fuel is one of the selected fuels for high-power space nuclear propulsion reactors due to its high melting point, high thermal conductivity, low fission gas release rate and excellent high-temperature mechanical properties. In this paper, multi-element (U, Zr, Nb)C fuel pellets were prepared by powder metallurgy process combining carbothermal reduction and liquid phase sintering. The mechanism and influence of process parameters on reaction kinetics, phase structure, thermal conductivity and microstructure of sintered pellets were studied. The results show that according to the calculation of reaction thermodynamics, the carbothermal reduction temperatures for UO2 and Nb2O5 are 2 122 K and 1 206 K at standard pressure, respectively; Under the sintering conditions of 1 800℃, 50 MPa and 1 h, the pellet density can reach 95.5%TD by adding 0.5% metallic uranium to form liquid phase sintering, liquid phase sintering accelerates the densification process of the pellets; When the raw material M/C (M is the total metal element) is 1:6.5, the stoichiometric carbide fuel with M/C ratio of 1 can be prepared, using ZrC powders as raw materials can not only reduce the reaction temperature, but also reduce the difficulty of adjusting the M/C ratio of the reaction product; The lattice constant of (U0.2, Zr, Nb)C is slightly higher than that of (U0.1, Zr, Nb)C; The thermal conductivity of carbide fuel is related to phase composition, density and temperature; The thermal conductivity of (U0.1, Zr, Nb)C and (U0.2, Zr, Nb)C fuels increases with the increase of the content of uranium carbide, and the increase of Zr content is beneficial to the increase of the thermal conductivity of the pellets, the thermal conductivity of (U0.1, Zr, Nb)C and (U0.2, Zr, Nb)C pellets are 17.89 W/(m·K) and 18.81 W/(m·K), respectively. With the increase of sintering density, the thermal conductivity of (U, Zr, Nb)C fuels increases, and the fuels with different compositions show different thermal conductivity changing trend under the same sintering density. The thermal conductivity of (U0.1, Zr0.55, Nb0.35)C and (U0.2, Zr0.5, Nb0.3)C pellets at 90%TD relative density are 16.43 W/(m·K) and 17.90 W/(m·K), respectively, and the thermal conductivity decreases by 8.2% and 4.8% respectively compared with that at 94%TD theoretical density. The pore distribution of the pellet is relatively uniform, there is no connected open pore, and the pore size is 1-3 μm.

This paper presents a multi-element multiple-input multiple-output (MIMO) antenna with self-isolation and flexible characteristics. The primary radiators of the proposed antenna consist of multiple ellipse-shaped patches arranged in an H-plane configuration. Self-decoupling is achieved by simultaneously different operating modes on the excited element (TM10 mode) and non-excited element (TM02 mode). The proposed method also shows strong extensibility. The measurements on the fabricated 4-element MIMO antenna demonstrate that the proposed decoupling method can improve the isolation by 14 dB. The antenna shows good MIMO diversity performances with respect to the envelope correlation coefficient and diversity gain. Additionally, the antenna also works effectively in when the substrate is bent, which contributes to significantly increasing the applicability of the proposed method in comparison with the other reported methods.

The farming pattern of crayfish significantly impacts their quality, safety, and nutrition. Typically, green and ecologically friendly products command higher economic value and market competitiveness. Consequently, intensive farming methods are frequently employed in an attempt to replace these environmentally friendly products, leading to potential instances of commercial fraud. In this study, stable isotope and multi-element analysis were utilized in conjunction with multivariate modeling to differentiate between pond-intensive, paddy-ecologically, and free-range cultured crayfish. The four stable isotope ratios of carbon, nitrogen, hydrogen, and oxygen (δ13C, δ15N, δ2H, δ18O) and 20 elements from 88 crayfish samples and their feeds were determined for variance analysis and correlation analysis. To identify and differentiate three different farming pattern crayfish, unsupervised methods such as hierarchical cluster analysis (HCA) and principal component analysis (PCA) were used, as well as supervised multivariate modeling, specifically partial least squares discriminant analysis (PLS-DA). The HCA and PCA exhibited limited effectiveness in classifying the farming pattern of crayfish, whereas the PLS-DA demonstrated a more robust performance with a predictive accuracy of 90.8%. Additionally, variables such as δ13C, δ15N, δ2H, Mn, and Co exhibited relatively higher contributions in the PLS-DA model, with a variable influence on projection (VIP) greater than 1. This study is the first attempt to use stable isotope and multi-element analysis to distinguish crayfish under three farming patterns. It holds promising potential as an effective strategy for crayfish authentication.

This investigation aimed to establish the geographical traceability of Malaysian rice by assessing the elemental composition in paddy soil. Multi-element determination in combination with a chemometric approach was applied to evaluate the elemental concentrations of paddy soil from granaries cultivated with the same rice variety and to assess the relationship between elements in the soil and rice (SAR) system. A total of 29 elements (aluminum, arsenic, barium, bromine, calcium, chlorine, cobalt, chromium, cesium, europium, iron, gallium, hafnium, potassium, lanthanum, lutetium, magnesium, manganese, sodium, rubidium, antimony, scandium, samarium, thorium, titanium, uranium, vanadium, ytterbium and zinc) were successfully determined in paddy soil from Kedah, Selangor and Langkawi by neutron activation analysis. A significant difference (P < 0.05) between 18 elements in the soil samples was obtained. The chemometric approaches of principal component and linear discriminant analyses demonstrated clear discrimination and highly corrected classification (100%) of the soil samples. A high classification (98.1%) was also achieved by assessing 10 elements (aluminum, arsenic, bromine, chlorine, potassium, magnesium, manganese, sodium, rubidium and zinc), which similarly applied to rice geographical origin determination. Similar elements in SAR were also observed for differences in the pattern of correlation and bioaccumulation factor between the granaries. Furthermore, the generalized Procrustes analysis showed a 98% consensus between SAR and clear differences between the studied regions. The canonical correlation analysis demonstrated a significant correlation between the chemical profile of SAR (r2 = 0.88, P < 0.001). Therefore, the current work model provides a reliable assessment to establish rice provenance.

High thrust nuclear-powered spacecraft is the key technology for deep space exploration and low Earth orbit transportation in the future, the nuclear thermal propulsion system has the advantages of high specific impulse, high thrust, long operating life and repeatable start-up, which can provide reliable power support for future deep space exploration missions. Multi-element (U, Zr, Nb)C fuel is one of the selected fuels for high-power space nuclear propulsion reactors due to its high melting point, high thermal conductivity, low fission gas release rate and excellent high-temperature mechanical properties. In this paper, multi-element (U, Zr, Nb)C fuel pellets were prepared by powder metallurgy process combining carbothermal reduction and liquid phase sintering. The mechanism and influence of process parameters on reaction kinetics, phase structure, thermal conductivity and microstructure of sintered pellets were studied. The results show that according to the calculation of reaction thermodynamics, the carbothermal reduction temperatures for UO2 and Nb2O5 are 2 122 K and 1 206 K at standard pressure, respectively; Under the sintering conditions of 1 800℃, 50 MPa and 1 h, the pellet density can reach 95.5%TD by adding 0.5% metallic uranium to form liquid phase sintering, liquid phase sintering accelerates the densification process of the pellets; When the raw material M/C (M is the total metal element) is 1:6.5, the stoichiometric carbide fuel with M/C ratio of 1 can be prepared, using ZrC powders as raw materials can not only reduce the reaction temperature, but also reduce the difficulty of adjusting the M/C ratio of the reaction product; The lattice constant of (U0.2, Zr, Nb)C is slightly higher than that of (U0.1, Zr, Nb)C; The thermal conductivity of carbide fuel is related to phase composition, density and temperature; The thermal conductivity of (U0.1, Zr, Nb)C and (U0.2, Zr, Nb)C fuels increases with the increase of the content of uranium carbide, and the increase of Zr content is beneficial to the increase of the thermal conductivity of the pellets, the thermal conductivity of (U0.1, Zr, Nb)C and (U0.2, Zr, Nb)C pellets are 17.89 W/(m·K) and 18.81 W/(m·K), respectively. With the increase of sintering density, the thermal conductivity of (U, Zr, Nb)C fuels increases, and the fuels with different compositions show different thermal conductivity changing trend under the same sintering density. The thermal conductivity of (U0.1, Zr0.55, Nb0.35)C and (U0.2, Zr0.5, Nb0.3)C pellets at 90%TD relative density are 16.43 W/(m·K) and 17.90 W/(m·K), respectively, and the thermal conductivity decreases by 8.2% and 4.8% respectively compared with that at 94%TD theoretical density. The pore distribution of the pellet is relatively uniform, there is no connected open pore, and the pore size is 1-3 μm. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Inorganic Analytical Chemistry / Zhongguo Wuji Fenxi Huaxue is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Panax quinquefolius L. is obtained from a man-shaped root of several species of the genus Panax of the family Araliceae indigenous, which is thought to increase memory, decrease aging, and possess both digestion regulating and liver-protective activity. The widely used in daily life, making its risk assessment a matter of great importance. This research investigates the application of inductively coupled plasma mass spectrometry (ICP-MS) for rapid, non-targeted screening and risk assessment of various heavy metals and toxic agents in Panax quinquefolius L.'s ultrafine granular powder. Methods: The Panax quinquefolius L. was ground to ultrafine granular powder and subjected to microwave digestion for pre-treatment. ICP-MS was then employed to scan all elements within the full spectrum range, allowing identification of heavy metals and toxic elements using the non-targeted detection method. Subsequently, risk assessment was conducted for Pb, Cu, Ni, Mn, Al, Hg, As, and Cd present in the powder, following the basic steps of risk assessment. Results: The concentrations of Pb, Cd, As, Hg, and Cu in ultrafine granular Panax quinquefolius L. powder were found to be below the limits established by the current pharmacopeia. Notably, essential trace elements for the human body, namely Ca, Fe, Mn, Zn, and Mg, were relatively abundant in the powder, with concentrations ranging from 1441.30 to 4016.20, 51.16 to 577.04, 34.78 to 121.99, 17.85 to 83.49, and 1017.69 to 3194.16 mg/kg, respectively. The risk assessment indicated that, in terms of exposure to toxic elements, the order for a person consuming ultrafine granular Panax quinquefolius L. powder would be: Al > Mn > Cu > Ni > Pb > Cd > As > Hg. Importantly, the non-cancer risks associated with Ni, Pb, Al, Mn, Cd, As, Hg, and Cu in the ultrafine granular Panax quinquefolius L. powder were all within acceptable levels. Conclusion: This study successfully establishes a multi-element non-targeted rapid screening method combined with risk assessment techniques, enabling swift determination of harmful target element concentrations and risk profiles in ultrafine granular Panax quinquefolius L. powder. This approach serves as a technical reserve for effectively responding to incidents of toxicity potentially associated with traditional Chinese medicine.

Soil acidification is very likely to affect the growth of tea trees and reduce tea yield. In this study, we analyzed the effects of soils with different pH on the physiological characteristics of tea leaves and determined the multi-element content and hormone metabolomes of tea leaves by ICP-MS and LC-MS/MS, based on which we further analyzed their interaction. The results showed that increasing soil pH (3.29~5.32) was beneficial to increase the available nutrient content of the rhizosphere soil of tea tree, improve the antioxidant enzyme activity and photosynthesis capacity of tea tree leaves, and promote the growth of tea tree. Orthogonal partial least squares discriminant analysis (OPLS-DA) and bubble characteristics analysis were used to screen key elements and hormones for the effect of pH on tea leaves, which were further analyzed by redundancy analysis (RDA) and interaction network. The results showed that an increase in soil pH (3.29~5.32) favored the accumulation of seven key elements (C, K, Ca, Mg, Mn, P, S) in tea tree leaves, which in turn promoted the synthesis of six key hormones (salicylic acid, salicylic acid 2-O-β-glucoside, tryptamine, 2-oxindole- 3-acetic acid, indole-3-acetic acid, trans-zeatin-O-glucoside). It can be seen that the increase in soil pH (3.29~5.32) enhanced the resistance of the tea tree itself, improved the photosynthesis ability of the tea tree, and effectively promoted the growth of the tea tree. [ABSTRACT FROM AUTHOR]

Epoxy resins (EP) have been commonly used, but their poor flame retardant properties have prevented their widespread use. In order to improve the flame retardant properties of EP, an organic-inorganic composite flame retardant (HKDC) containing multi-element P/N/Si was successfully synthesized in this work using a typical aldehyde amine condensation reaction. This flame retardant utilizes the synergistic effect of multiple elements to simultaneously perform the flame retardant function of each element, and it can achieve excellent flame retardant effect by using low addition amount in EP. At the same time, this flame retardant can not only reduce the migration of molecules through the structure of inorganic substances, but also the C = C reaction in EP can form large molecules and increase the compactness with the EP matrix. The flame retardants were then quantified by measuring their flame retardant properties, combustion behavior and thermal stability. When the flame retardant HKDC is added, the flame retardant performance of EP is improved and the vertical combustion test achieves a V-0 rating. Most importantly, the addition of flame retardant HKDC effectively suppressed the toxic gas and smoke emissions of EP, with TSP values much lower than those of pure EP, and CO and CO2 emissions were suppressed. [ABSTRACT FROM AUTHOR]

This investigation aimed to establish the geographical traceability of Malaysian rice by assessing the elemental composition in paddy soil. Multi-element determination in combination with a chemometric approach was applied to evaluate the elemental concentrations of paddy soil from granaries cultivated with the same rice variety and to assess the relationship between elements in the soil and rice (SAR) system. A total of 29 elements (aluminum, arsenic, barium, bromine, calcium, chlorine, cobalt, chromium, cesium, europium, iron, gallium, hafnium, potassium, lanthanum, lutetium, magnesium, manganese, sodium, rubidium, antimony, scandium, samarium, thorium, titanium, uranium, vanadium, ytterbium and zinc) were successfully determined in paddy soil from Kedah, Selangor and Langkawi by neutron activation analysis. A significant difference (P < 0.05) between 18 elements in the soil samples was obtained. The chemometric approaches of principal component and linear discriminant analyses demonstrated clear discrimination and highly corrected classification (100%) of the soil samples. A high classification (98.1%) was also achieved by assessing 10 elements (aluminum, arsenic, bromine, chlorine, potassium, magnesium, manganese, sodium, rubidium and zinc), which similarly applied to rice geographical origin determination. Similar elements in SAR were also observed for differences in the pattern of correlation and bioaccumulation factor between the granaries. Furthermore, the generalized Procrustes analysis showed a 98% consensus between SAR and clear differences between the studied regions. The canonical correlation analysis demonstrated a significant correlation between the chemical profile of SAR (r 2 = 0.88, P < 0.001). Therefore, the current work model provides a reliable assessment to establish rice provenance. [ABSTRACT FROM AUTHOR]

In the field of industrial non-destructive testing, the three-dimensional imaging technology of ultrasonic testing can intuitively represent the three-dimensional spatial characteristics of defects, making it convenient for non-destructive testing personnel to make accurate judgments on the internal defect information of the tested workpiece. This article conducts a comprehensive study on multi element synthetic aperture focused ultrasound imaging. Based on the radiation theory of sound field, the sound pressure distribution of multi element aperture was derived, and the sound field and defect response of single element, multi element focused, and multi element unfocused were simulated. It was found that multi element unfocused sound field is more suitable for synthetic aperture focused ultrasound imaging. The results indicate that in far-field conditions, multi element synthetic aperture focused ultrasound imaging can achieve higher imaging quality and resolution than single element synthetic aperture focused imaging. [ABSTRACT FROM AUTHOR]

Multi-element high-entropy AlTiVFeNiZrCoCr alloy was experimentally made using powder metallurgy route. The equiatomic composition of the alloy was constituted by the mechanical processing of each metal element ground for 8 hours to dimensions below 45 µm and then uniaxially pressed at 260 MPa. The microwave sintering of pressed samples in an inert environment by argon blowing was carried out by heating to temperatures between 960-1100 °C with heating rates between 12.6-14.2 °C/min and maintaining constant at the final sintering temperature for 50 min. Cooling in the microwave oven was done at an average rate of 10 °C/min. The experiment results showed reaching the maximum hardness of 795 HV and the highest compression strength of 2245 MPa corresponding to the variant of microwave heating of the specimen at the sintering temperature of 1100 °C. The originality of the work consists in the constructive and functional elements of the microwave equipment used in the sintering process. [ABSTRACT FROM AUTHOR]

Significant Wave Heights (SWH) is an important attribute to describe ocean waves, and SWH prediction is of great significance for ensuring the design of offshore engineering and the safety of offshore operations. In recent years, deep learning methods have been used to predict SWH, but the existing methods cannot effectively capture the long-term correlation of SWH, thus ignoring the local associations between multiple elements of the ocean. To this end, this paper proposes a SWH prediction model (Multi-elements Local and Global Correlation for Wave height Prediction, MLG-SWH) that combines local and global features of marine multi-elements. First, using multiple factors such as significant wave height, wind speed and period as input, a Local-Global Embedding (LGE) module is designed to embed local correlation and time information of ocean multi-elements. Then, an encoder-decoder structure is used to extract the features of ocean wave height, where a casual dilated convolution self-attention module is designed to effectively capture the global long-term correlation of ocean multi-element sequences and the generative prediction method in the decoder is adopted to avoid errors accumulated in the single-step iterative prediction. Finally, the data of two stations with different characteristics of SWH variation in the North Atlantic are selected for experimental evaluations. Compared with classical time-series forecasting models and mainstream deep learning methods, the MLG-SWH model achieves the lowest mean square error and mean absolute error in 24 and 48 hours SWH forecasting, having a greater advantage in long-term time series prediction. [ABSTRACT FROM AUTHOR]

The elemental concentration and grain size composition (sand, silt and clay) of 63 bulk estuarine sediment samples from the bank of the Hau River in Mekong Basin were analyzed by neutron activation analysis and laser-diffraction particle size analyzer in this study. Principal component analysis was used to investigate the association between elemental concentration and particle size composition in sediment samples. The first principal component (PC) represents the alluvial composition in the sediment. Correlation tests showed that the elemental concentrations in the first PC (As, Co, Cr, Cs, Fe, Rb, Sb, Sc and Zn) have been strongly positively correlated with clay and silt contents and negatively correlated with sand content. The second PC represents the minerals composition of the sediment. The elemental concentration in the second PC (Ce, Eu, Hf, La, Sm, Ta, Tb, Th, U, and Yb) had a lower correlation with the grain size than the elemental concentration in the first PC. The third PC, which includes Br and Na, shows deposits coming from marine organisms and chemical precipitation in the ocean that had not correlated with the grain size. [ABSTRACT FROM AUTHOR]

Mercury (Hg) and its compounds are highly toxic for humans and ecosystems, and their chemical forms determine both their behavior and transportation as well as their potential toxicity for human beings. Determining the various species of an element is therefore more crucial than understanding its overall concentration in samples. For this reason, several studies focus on the development of new analytical techniques for the identification, characterization, and quantification of Hg compounds. Commercially available, hyphenated technology, such as HPLC-ICP-MS, supports the rapid growth of speciation analysis. This review aims to summarize and critically examine different approaches for the quantification of mercury species in different samples using HPLC-ICP-MS. The steps preceding the quantification of the analyte, namely sampling and pretreatment, will also be addressed. The scenarios evaluated comprehend single and multi-element speciation analysis to create a complete guide about mercury content quantification.

Root chemical traits play a critical role in plant resource use strategies and ecosystem nutrient cycling; however, the chemical diversity of multiple elements of fine root and community chemical assembly belowground are poorly understood. Here, we measured 13 elements (C, N, K, Ca, Mg, S, P, Al, Fe, Na, Mn, Zn, and Cu) in the fine roots of 204 plant species along elevational transect from 540 to 2357 m of Changbai Mountain, China to explore the variation, diversity, and community assembly of root chemical traits. At the species level, the concentrations of macronutrients (N, K, Ca, Mg, S, and P) decreased, whereas the trace metals (Fe, Mn, and Zn) increased with elevation. Root chemical traits at the community level systematically shifted along elevational gradients showing a pattern similar to that at the species level, which were mainly influenced by climate and soil rather than species diversity. In general, the interactions of climate and soil were the main drivers of root chemical assembly for woody layers, whereas soil factors played significant role for root chemical assembly for herb layer. The chemical assembly of rock-derived element P was mainly driven by soil factors. Meanwhile, root chemical diversities were mainly regulated by species diversity, the interactions of climate and soil, and soil factors in the tree, shrub, and herb layers, respectively. A better understanding of plant root chemical diversity and community chemical assembly will help to reveal the role of chemical traits in ecosystem functioning. [ABSTRACT FROM AUTHOR]

The determination of the origin of wolfberry (Lycium barbarum) pulp in China remains a challenge despite its nutritional significance and popularity among consumers. To address this gap, 144 samples from four distinct regions in China were analyzed using nutrient elements, stable isotopes combined with multi-element assessments. Chemometric analyses successfully demonstrated the initial separation of wolfberry pulp samples. Notably, a nutrient element (Glucose) along with 12 mineral elements (Tb, Co, Fe, Cd, Pr, V, Mo, Gd, Al, Mg, As, Zn) emerged as pivotal factors for origin identification. Furthermore, employing a random forest algorithm resulted in the highest classification accuracy of 100 %, surpassing support vector machine (96.43 %) and K-nearest (71.43 %) methods. The study's findings underscore the efficacy of utilizing stable isotopes, mineral elements, and nutritional composition as effective markers for tracing the origin of wolfberry pulp. Moreover, this methodology offers promising insights into the potential identification of origins for other agricultural products. [Display omitted] • Pioneering a novel approach for wolfberry pulp origin identification. • Characterized wolfberry pulp from 4 regions via multi-element analysis. • 12 mineral elements and 1 nutrient element were identified for origin identification. • Used chemometrics to reveal elemental relationships. • RF analysis has achieved an unparalleled 100 % accuracy in origin identification. [ABSTRACT FROM AUTHOR]

The present study was conducted to clarify the differences in the multi-element, volatile organic compound, fatty acid, and metabolite fingerprints between black and white sesame seeds. A total of 53 chemical elements, 32 volatile flavor compounds, 40 fatty acids, and 283 metabolites were identified and evaluated in the two groups of sesame seeds. Univariate and multivariate statistics indicated a distinct separation between the two groups of sesame seeds. A panel of 16 chemical elements, 3 volatile compounds, 8 individual fatty acids, and 54 metabolites with p value < 0.05 and variable importance in projection score > 1 were selected as the most important discriminants for the two types of sesame seeds. Overall, these data reveal the influence of genotype on the chemical composition of sesame seeds. Our findings also demonstrate that the hybrid model of instrumental analysis and chemometrics is feasible for the discrimination of black and white sesame seeds. [ABSTRACT FROM AUTHOR]

Copyright of Modern Food Science & Technology is the property of Editorial Office of Modern Food Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Panax notoginseng is an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element in P. notoginseng (total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains of P. notoginseng and thus avoid the fraud of geographic identification. [ABSTRACT FROM AUTHOR]

Multi-element analysis in historical sites is a major issue in archaeological studies; however, this approach is almost unknown among Iranian scholars. Geochemical multi-element analysis of soil is very important to evaluate anthropogenic activities. The aim of this study consists of assessing the potential usefulness of multi-elemental soil analysis, obtained by Analytical Jena atomic absorption spectrophotometer (AAS) and ICP-MS, to recognize ancient anthropogenic features on the territory of Tappe Rivi (North Khorasan, Iran). For that purpose, a total of 80 ancient soil samples were sampled from each soil horizon and cultural layer. The research involved Fe, Al, Cd, Cu, Ni, Co, Cr, Pb, and P which trace element samples were extracted according to the International Standard ISO 11466 and phosphorus samples by Olsen method. Besides, the contamination of the soils was assessed based on enrichment factors (EFs) by using Fe as a reference element. This geochemical/archaeological approach highlights that the content of most elements in the Parthian and Sassanid ages were significantly higher than the contents of the elements in other zones, which shows that by the development of the eras, the content of the elements has also increased. Also, the accumulation of metals in the Rivi site was significantly higher than in the control area. Among the sampled zones, enrichment factor (EF) indicated that the enrichment of Cu and phosphate at the Parthian and Sassanid had the highest content. This result is important because it shows that the amount of metals and human activities are directly related to each other during different ages. [ABSTRACT FROM AUTHOR]

In the present study, the implementation of multi-blade profiles in a Savonius rotor was evaluated in order to increase the pressure in the blade's intrados and, thus, decrease motion resistance. The geometric proportions of the secondary element were determined, which maximized the rotor's performance. For this, the response surface methodology was used through a full factorial experimental design and a face-centered central composite design, consisting of three factors, each with three levels. The response variable that was sought to be maximized was the power coefficient ( C P ), which was obtained through the numerical simulation of the geometric configurations resulting from the different treatments. All geometries were studied under the same parameters and computational fluid dynamics models through the ANSYS Fluent software. The results obtained through both experimental designs showed a difference of only 1.06% in the performance estimates using the regression model and 3.41% when simulating the optimal proportions geometries. The optimized geometry was characterized by a C P of 0.2948, which constitutes an increase of 10.8% in its performance compared to the profile without secondary elements and of 51.2% compared to the conventional semicircular profile. The numerical results were contrasted with experimental data obtained using a wind tunnel, revealing a good degree of fit. [ABSTRACT FROM AUTHOR]

A factor analysis was applied to soil geochemical data to define anomalies related to buried Pb‐Zn mineralization. A favorable main factor with a strong association of the elements Zn, Cu and Pb, related to mineralization, was selected for interpretation. The median + 2MAD (median absolute deviation) method of exploratory data analysis (EDA) and C‐A (concentration‐area) fractal modeling were then applied to the Mahalanobis distance, as defined by Zn, Cu and Pb from the factor analysis to set the thresholds for defining multi‐element anomalies. As a result, the median + 2MAD method more successfully identified the Pb‐Zn mineralization than the C‐A fractal model. The soil anomaly identified by the median + 2MAD method on the Mahalanobis distances defined by three principal elements (Zn, Cu and Pb) rather than thirteen elements (Co, Zn, Cu, V, Mo, Ni, Cr, Mn, Pb, Ba, Sr, Zr and Ti) was the more favorable reflection of the ore body. The identified soil geochemical anomalies were compared with the in situ economic Pb‐Zn ore bodies for validation. The results showed that the median + 2MAD approach is capable of mapping both strong and weak geochemical anomalies related to buried Pb‐Zn mineralization, which is therefore useful at the reconnaissance drilling stage. [ABSTRACT FROM AUTHOR]

The problem of flood vulnerability has been reviewed in several studies, however, the reviews focused exclusively either on the social or on the physical component of the problem. The components of flood vulnerability are interdependent and each of them makes an equally important contribution to the flood vulnerability index. This study identifies and evaluates the integrated flood vulnerability index (FVI) of an area by considering its multiple components (social, economic, and environmental). The Analytic Hierarchy Process (AHP) method was applied to evaluate the weight of each component. The evaluation was based on the judgements of experts working at local government policymaking agencies. The input data for the AHP were acquired through a questionnaire survey. Eleven indicators that delivered significant results were then selected. The FVI results show high flood vulnerability at the local scale. The FVI provides the basis for the identification of villages with high vulnerability indices. The results provide essential information about pluvial flood vulnerability at the local scale, about the area with the highest vulnerability index, and the most vulnerable villages. The results also show that the components that have a significant impact on the flood vulnerability index include environmental components (43.4%), social components (28.5%), and physical components (28.1%). [ABSTRACT FROM AUTHOR]

The present study was conducted to clarify the differences in the multi-element, volatile organic compound, fatty acid, and metabolite fingerprints between black and white sesame seeds. A total of 53 chemical elements, 32 volatile flavor compounds, 40 fatty acids, and 283 metabolites were identified and evaluated in the two groups of sesame seeds. Univariate and multivariate statistics indicated a distinct separation between the two groups of sesame seeds. A panel of 16 chemical elements, 3 volatile compounds, 8 individual fatty acids, and 54 metabolites with p value < 0.05 and variable importance in projection score > 1 were selected as the most important discriminants for the two types of sesame seeds. Overall, these data reveal the influence of genotype on the chemical composition of sesame seeds. Our findings also demonstrate that the hybrid model of instrumental analysis and chemometrics is feasible for the discrimination of black and white sesame seeds.

Nowadays, multi-element alloys are preferred over binary alloys for application point of view. The hydrogenation properties strongly depend on the thermodynamic, structural and electronic properties of the alloys. At present, no model is available which can predict the hydrogen storage properties of the multi-element alloy, before actual synthesis of the alloy. In the present investigation, efforts are made to develop a theoretical mathematical model to predict the hydrogenation properties of multi-element AB 5 -type metal hydride. The present investigation deals with the various electronic parameters which may affect the hydrogenation characteristics of the metal hydride. Based on all such parameters, an electronic factor has been proposed for AB 5 -type alloys. Electronic factor has been combined with the structural and thermodynamical factor to propose a new combined factor, which was further correlated with the hydrogen storage capacity of the alloy. Atomic radius and electronic configuration of substituted elements in the multi-element AB 5 -type hydrogen storage alloy have been found as key players to predict the hydrogenation properties of the alloys before synthesis. It has been shown that in the case of alloy series with multiple substitutions, the combined factor is more relevant in deciding the hydrogen storage capacity in comparison to electronic factor alone. Combined factor is directly proportional to the hydrogen storage capacity. All the three factors thermodynamic, structural and electronic together may lead to the prediction of pressure-composition isotherm of the multi-element AB 5 -type hydrogen storage alloy. Image 1 • Deals with the electronic factors affecting the hydrogenation characteristics. • Electronic factor is calculated for known AB 5 -type alloys. • Combined factor is calculated with electronic, structural and thermodynamical factor. • Combined factor is correlated with hydrogen storage capacity of the alloy. • Atomic radius and electronic configuration of substituted elements are key factors. [ABSTRACT FROM AUTHOR]

Mutual injection locking of multi‐element graphene nanoribbon impact avalanche transit time (G‐IMPATT) sources designed to operate at different millimeter‐wave (mm‐wave) and terahertz frequencies has been studied. Planar circuit is used for implementing the mutual injection locking between adjacent elements of the source operating in parallel‐connected‐power‐combined mode. The static, high frequency and noise simulations of the proposed sources have been carried out by using in‐house simulation codes based on self‐consistent quantum drift‐diffusion model. Results show that mutual injection locking between the adjacent elements forced the sources to oscillate nearly at a single frequency even if significantly high degree of mismatch is present among the elements of the multi‐element oscillators. A minor amount of reduction in power out and insignificant deterioration in the noise performance of the multi‐element G‐IMPATT oscillators have been observed due to the presence of mutual injection locking between the adjacent elements. [ABSTRACT FROM AUTHOR]

Multi-element concentrations (Al, As, Cd, Cr, Hg, Ni, Pb, Se, and Sr) were analyzed in the muscle of six fish species (Hoplias malabaricus, Oligosarcus jenynsii, Rhamdia quelen, Bryconamericus iheringii, Astyanax fasciatus, and Odontesthes bonariensis) with different diets and habits from the Río Tercero Reservoir (RTR) in Córdoba, Argentina, during the wet and dry seasons. Besides, potential human health risks, associated with the consumption of these elements, have been assessed considering the average daily intake (EDI) in children and adults. Additionally, the target hazard quotient (THQ) and carcinogenic risk (CR) were evaluated taking into account the intake by the general population, fishermen, and consumption frequency recommended by the American Heart Association (AHA), the maximum scientific reference in cardiology in the USA and worldwide. All species presented quantifiable values in muscle for all the analyzed elements (Al, As, Cr, Hg, Ni, Se, and Sr), except for Cd and Pb, being Al and Sr the most accumulated elements in all species in both seasons. The consumption of edible muscles of the species studied in this reservoir represents a toxicological risk to humans. Mercury and As were the main elements that presented a health risk through the consumption of fish. Their concentrations in most fish species were above the maximum daily allowable concentrations, and THQ values were several times greater than 1. In addition, according to AHA recommendations, the cancer risk caused by As was greater than the acceptable value of 10−4 in all species studied, and in both seasons, with the exception of A. fasciatus, in the rainy season. These results indicate that the consumption of fish from the RTR exposes the inhabitants to possible health risks, especially when considering the consumption frequency recommended by the AHA. Therefore, fish intake from this reservoir should be limited to minimize potential risks to the health of consumers. Finally, the results of this study are useful for controlling pollution and developing preventive and palliative policies to protect populations in contact not only with the reservoir but also with other areas of the world with similar conditions. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Geographical authentication of bone raw materials to determine whether they come from non-epidemic areas and natural pastoral areas is critical to quality control, food safety, and brand protection of gelatin. The establishment of an effective traceability method independent of paper records has become increasingly urgent. Therefore, the potential of the stable isotope and multi-element analyses for distinguishing the geographical origin of bone samples from various provinces in China was investigated. The C, N, and H isotopic compositions and the contents of 18 elements in bovine bone samples were studied by isotope ratio mass spectrometry (IRMS), inductively coupled plasma mass spectrometry (ICP-MS), and inductively coupled plasma optical emission spectrometer (ICP-OES), combined with one-way analysis of variance (ANOVA), principal component analysis (PCA), and linear discriminant analysis (LDA). It was shown that the values of δ13C, δ15N, and δ2H as well as the contents of 16 of the 18 elements in bone samples were significantly different among the regions. A total correct classification rate of 95.7% and 100% was obtained by the stable isotope traceability method and multi-element traceability method, while the cross-validation rate was 91.5% and 97.9%, respectively. It was concluded that both stable isotopes and mineral elements can be good indicators for tracing the geographical origin of bone raw materials. Due to the minor difference in the discrimination accuracy of these two methods, it is preferable to establish traceability models using stable isotope method in practical work considering economic feasibility and efficiency. [ABSTRACT FROM AUTHOR]

Intense human activities have significantly altered the concentrations of atmospheric components that enter ecosystems through wet and dry deposition, thereby affecting elemental cycles. However, atmospheric wet deposition multi-elemental stoichiometric ratios are poorly understood, hindering systematic exploration of atmospheric deposition effects on ecosystems. Monthly precipitation concentrations of six elements—nitrogen (N), phosphorus (P), sulfur (S), potassium (K), calcium (Ca), and magnesium (Mg)—were measured from 2013 to 2021 by the China Wet Deposition Observation Network (ChinaWD). The multi-elemental stoichiometric ratio of atmospheric wet deposition in Chinese terrestrial ecosystems was N: K: Ca: Mg: S: P = 31: 11: 67: 5.5: 28: 1, and there were differences between vegetation zones. Wet deposition N: S and N: Ca ratios exhibited initially increasing then decreasing inter-annual trends, whereas N: P ratios did not exhibit significant trends, with strong interannual variability. Wet deposition of multi-elements was significantly spatially negatively correlated with soil nutrient elements content (except for N), which indicates that wet deposition could facilitate soil nutrient replenishment, especially for nutrient-poor areas. Wet N deposition and N: P ratios were spatially negatively correlated with ecosystem and soil P densities. Meanwhile, wet deposition N: P ratios were all higher than those of ecosystem components (vegetation, soil, litter, and microorganisms) in different vegetation zones. High input of N deposition may reinforce P limitations in part of the ecosystem. The findings of this study establish a foundation for designing multi-elemental control experiments and exploring the ecological effects of atmospheric deposition. [Display omitted] • Multi-element ratios of wet deposition in China were first quantified. • Spatial patterns of multi-element wet deposition ratios were reported. • Wet deposition of multi-elements was negatively correlated with soil contents. • Imbalanced wet deposition inputs may lead to ecosystem nutrient limitation. [ABSTRACT FROM AUTHOR]

In the present study, the implementation of multi-blade profiles in a Savonius rotor was evaluated in order to increase the pressure in the blade’s intrados and, thus, decrease motion resistance. The geometric proportions of the secondary element were determined, which maximized the rotor’s performance. For this, the response surface methodology was used through a full factorial experimental design and a face-centered central composite design, consisting of three factors, each with three levels. The response variable that was sought to be maximized was the power coefficient (CP), which was obtained through the numerical simulation of the geometric configurations resulting from the different treatments. All geometries were studied under the same parameters and computational fluid dynamics models through the ANSYS Fluent software. The results obtained through both experimental designs showed a difference of only 1.06% in the performance estimates using the regression model and 3.41% when simulating the optimal proportions geometries. The optimized geometry was characterized by a CP of 0.2948, which constitutes an increase of 10.8% in its performance compared to the profile without secondary elements and of 51.2% compared to the conventional semicircular profile. The numerical results were contrasted with experimental data obtained using a wind tunnel, revealing a good degree of fit.

Combustion instabilities in a high-pressure, multi-element combustor are studied in order to understand the relationship between the chamber and injector dynamics. A linear array of seven injectors supplies premixed natural gas and air into a rectangular combustion chamber designed to promote high-frequency, transverse thermoacoustic instabilities. The effect of equivalence ratio on the combustion dynamics was investigated for two injector lengths, 62.5 and 125 mm. For all operating conditions, the 125 mm injectors promote high-amplitude instabilities of the fundamental transverse (1T) mode, which has a frequency of 1750-1850 Hz. Reducing the injector length significantly lowers the instability amplitudes for all operating conditions and, for lower equivalence ratio cases, excites an additional mode near 1550 Hz. The delineating feature controlling the growth of the instabilities in each injector configuration is the coupling with axial pressure fluctuations in the injectors that occur in response to the transverse modes in the chamber. [ABSTRACT FROM AUTHOR]

The concentrations of twenty-four elements in twenty-five peppers from three cultivated regions in Guizhou Province (China) were analyzed. The chemometric data processing, including one-way analysis of variance, principal component analysis, linear discriminant analysis (LDA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were executed to differentiate the peppers. Consequently, the contents of 16 elements (Arsenic, Ba, Cu, Co, Cr, Ni, Pb, Sn, Sb, Mo, Sr, Y, Zn, Ca, P, and Fe) were significantly different among the three regions (p < 0.05). The correct discrimination rates of 25 peppers were 92.0% for LDA and 96.0% for OPLS-DA. The variable importance in the projection (VIP) values were ranged from 1.063 to 1.262 for seven elements (Tin, Fe, Zn, Y, Cr, Sr, and Mo) indicating that they played an important role for the geographical origin traceability of pepper. To sum up, multi-element concentrations together with chemometric data-processing can be promising for the geographical origin differentiation of pepper. [ABSTRACT FROM AUTHOR]

1-Phenylthiosemicarbazide bonded modified silica gel (PTC-SG) was synthesised and characterised by FTIR, SEM and elemental analysis for a novel separation/preconcentration of multiple elements based on solid phase extraction. The analytical parameters including pH of solutions, amounts of PTC-SG, flow rates of sample, eluent type and sample volume were optimised. The adsorption capacities of PTC-SG were found to be 7.9, 6.4, 6.3, 8.3, 7.2, 8.9 and 6.6 mg/g for Cu(II), Cd(II), Pb(II), Co(II), Cr(III), Ni(II) and Mn(II), respectively. The limit of detection (LOD) was calculated as 3x the standard deviation(s) of the reagent blank (k = 3, N = 21) and the LOD values were obtained to be 0.98 µg L−1 (Cu), 0.65 µg L−1 (Cd), 0.57 µg L−1 (Pb), 1.12 µg L−1 (Co), 1.82 µL−1 (Cr), 1.67 µg L−1 (Ni) and 0.55 µg L−1 (Mn). Certified reference materials were used to test the validation of the present method. The new solid phase extraction method was successfully applied to determination of the amount of multiple elements in food and beverage samples. [ABSTRACT FROM AUTHOR]

Abstract Effect of alloying elements on precipitation of δ phase in Ni-Nb-Cr-Mo alloys has been studied using thermodynamic method. It is found that an increase of Al/Ti ratio or (Al+Ti) content will inhibit the precipitation of δ phase obviously. When the Al/Ti ratio (exceed 1) or (Al+Ti) content increases, Nb content in δ phase increases, while the Mo content decreases. The mole fraction of δ phase increases obviously with increase of Nb content, however, it is nearly not affected by B content. Artificial neural network (ANN) method is tentatively applied to predict the multielement additions on mechanical properties in these alloys. A suitable composition of Al, Ti and B is suggested which obviously promotes stress-rupture life. The theoretical simulation results are finally verified through experiments. Highlights • Thermodynamic method is used to investigate the precipitation behavior of δ phase. • Increase of Al/Ti ratio or (Al+Ti) content will inhibit the precipitation of δ phase. • The fraction of δ phase is nearly not affected by B content. • δ phase can be controlled to precipitate at grain boundaries with proper elements. • ANN method is suitable to predict effect of multi-elements on mechanical properties. [ABSTRACT FROM AUTHOR]

Abstract Lanthanide (LNs) release into the environment is expected to greatly increase in the coming years due to a high demand for new technologies. However there is a gap in the ecological risk assessment of these metals because most of the ecotoxicological studies have been performed with only one element, although they are usually found in nature as a group. This research evaluated the effects of mixtures of three lanthanides, cerium (Ce), gadolinium (Gd), and lutetium (Lu), representative of the light, middle and heavy rare earth elements, respectively, on seven aquatic species (A. fischeri , R. subcapitata , C. vulgaris , B. calyciflorus , H. incongruens , D. magna and D. rerio). Lanthanide content decreased over time in all toxicity test media and it was observed that LN sedimentation starts at the beginning of the tests with a steep decline of the available LN amount. Potential toxic effects of LNs were observed only in five species of the seven studied, predominantly in the unicellular organism (A. fischeri) and in the organisms belonging to the lower trophic levels (R. subcapitata and B. calyciflorus). The multi-toxicity approach performed in this study showed synergistic effects in tests performed with the bacteria A. fischeri and the algae R. subcapitata , and antagonistic effects for the rotifer B. calyciflorus. Although predicting the response of aquatic organisms exposed to multi-elements is not an easy task and can be masked by potential interactions with other compounds or even by nutrient removal. The variation in toxic action among species observed in this study reveals that lanthanide interaction in toxicity mechanisms should not be discarded, and supports that further studies with LN mixtures are required to properly understand their toxic behaviour in nature ecosystems. Graphical abstract Unlabelled Image Highlights • During the toxicity tests lanthanide content decreased in all test media. • Lanthanide sedimentation was promoted by CO 3 group compounds present in test media. • Only bacteria and organisms from low trophic levels were vulnerable to LN toxicity. • Potential synergism and antagonism were observed depending on the tested organism. • Toxic effects due to lanthanide mixtures on organisms are likely to occur. [ABSTRACT FROM AUTHOR]

Acoustic positioning plays an important role in underwater sensors network (USN). Ultrashort baseline (USBL) is a common underwater localization technique applied in USNs. Traditional USBL arrays consisting of three or four elements usually have low positioning accuracy and low robustness. Although recent USBL positioning algorithms can be applicable to multi-element arrays, they also have low positioning accuracy and need complex processing. To improve positioning accuracy, we design an algorithm for a multi-element array with arbitrary configuration. In the proposed algorithm, the bearing is estimated by applying a group of linear equations. To test the positioning accuracy of the proposed algorithm, a two-dimensional pentagon array is studied as an example using both numerical and field data and another three-dimensional array is also investigated in the numerical analysis. Both the numerical and experimental results indicate that the proposed algorithm has more accurate positioning results under the circumstance that some elements in the array fail to work and simplifies the computational procedure. [ABSTRACT FROM AUTHOR]