(4′-All­yloxy-2,2′:6′,2′′-terpyridine)(dibenzoyl­methanido)dinitratoerbium(III) acetonitrile solvate

The title complex, [Er(C15H11O2)(NO3)2(C18H15N3O)]·CH3CN, has been synthesized from 4′-all­yloxy-2,2′:6′,2′′-terpyridine (altpy), dibenzoyl­methane and erbium nitrate. The distorted monocapped square anti­prismatic coordination polyhedron is formed by a bidentate dibenzoyl­methanide residue, a tridentate altpy ligand and two nitrate anions that act as bidentate ligands and occupy mutually trans sites

Tris(ethyl­enediammonium) bis­[(2-amino­ethyl)ammonium] bis­[bis­(μ5-hydrogen phosphato)penta-μ2-oxido-deca­oxido­penta­molybdenum(VI)] deca­hydrate

The title compound, (C2H10N2)3(C2H9N2)2[Mo5(HPO4)2O15]·10H2O, was prepared under hydro­thermal conditions at pH 5.0. The structure contains mono- and diprotonated ethyl­enediamine cations, [Mo5O15(HPO4)2]4− anions and uncoord­in­ated water mol­ecules. The [Mo5O15(HPO4)2]4− hetero­poly­oxometallate anion is made up of five MoO6 octa­hedra sharing an edge and forming a ring, which is closed by common corners of the terminal MoO6 octa­hedron. The ring is topped on both sides by two slightly distorted PO4 tetra­hedra, sharing three corners with three MoO6 octa­hedra. The terminal oxygen atoms of the PO4 units are protonated. Together with the anions, the water mol­ecules and the ethyl­enediammonium cations are involved in N—H⋯O and O—H⋯O hydrogen bonding, forming a three-dimensional supra­molecular network

(4′-All­yloxy-2,2′:6′,2′′-terpyridine-κ3 N,N′,N′′)(dibenzoyl­methanido-κ2 O,O′)bis­(nitrato-κ2 O,O′)neodymium(III) acetonitrile solvate

The title complex, [Nd(C15H11O2)(NO3)2(C18H15N3O)]·CH3CN or [Nd(altpy)(dbm)(NO3)2]·CH3CN (altpy = 4′-all­yl­oxy-2,2′:6′,2′′-terpyridine, dbm = dibenzoyl­methanide anion), has been synthesized from 4′-all­yloxy-2,2′:6′,2′′-terpyridine, dibenzoyl­methanate and neodymium nitrate. The Nd3+ atom is nine-coordinated by two O atoms from the bidentate dbm ligand, three N atoms from the tridentate altpy ligand and four O atoms from two nitrate anions that act as bidentate ligands and occupy mutually trans sites in a distorted monocapped square-anti­prismatic geometry

Application of meso-2,3-Dimercaptosuccinic Acid Self-assembled Gold Electrode for Voltammetric Determination of Copper

Fabrication and electrochemical characteristics of the meso-2,3-dimercaptosuccinic acid (DMSA) self-assembled monolayer modified gold electrode were described. The modified electrode exhibited increased sensitivity and selectivity for CuII compared to the bare gold electrode by stripping voltammetry and the peak current was proportional to the concentration of CuII in the range of 8.0 10–7 1.2 10–4 mol/L with the detection limit of 1.1 10–7 mol/L. The influence of coexistent substances was investigated and the modified electrode showed good selectivity for copper determination. The DMSA/Au electrode was applied for CuII determination in a tap water sample with satisfactory results, with the recovery in the range from 99.7 to 101.1 %

Characterization of a sensitive biosensor based on an unmodified DNA and gold nanoparticle composite and its application in diquat determination

AbstractDNA usually adsorbs gold nanoparticles by virtue of mercapto or amino groups at one end of a DNA molecule. However, in this paper, we report a sensitive biosensor constructed using unmodified DNA molecules with consecutive adenines (CA DNA) and gold nanoparticles (GNPs). The CA DNA–GNP composite was fabricated on gold electrodes and characterized by using of scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS) and the electrochemical method. Using an electrochemical quartz crystal microbalance (EQCM), the mechanism by which the CA DNA and GNPs combined was also studied. The modified electrode exhibited an ultrasensitive response to diquat. Differential pulse voltammetry (DPV) was used to study the linear relationships between concentrations and reduction peak currents, ranging from 1.0×10−9M to 1.2×10−6M. The detection limit of it is 2.0×10−10M. The feasibility of the proposed assay for use in human urine and grain was investigated, and the satisfactory results were obtained

RNAi technology extends its reach: Engineering plant resistance against harmful eukaryotes

RNA interference (RNAi) is a homology-dependent gene silencing technology that is initiated by double stranded RNA (dsRNA). It has emerged as a genetic tool for engineering plants resistance against prokaryotic pathogens such as virus and bacteria. Recent studies broaden the role of RNAi, and many successful examples have described the application of RNAi for engineering plant resistance against a range of eukaryotic organisms. Expression of dsRNA directed against suitable eukaryotic pathogens target genes in transgenic plants has been shown to give protection against harmful eukaryotic species, including nematodes, herbivorous insects, parasitic weeds and fungi. This review addresses the progress of RNAi-based transgenic plant resistance against these four class eukaryotic pests, as well as future challenges and prospects.Key words: dsRNA, RNAi, crop resistance, biotechnology, nematode, insect, parasitic weed, fungus

(Dimethyl sulfoxide-κO)[3-hydr­oxy-2-hydroxy­methyl-2-(3-meth­oxy-2-oxido­benzyl­ideneamino-κ2 O 2,N)propanolato-κO]dioxomolybdenum(VI). Corrigendum

Corrigendum to Acta Cryst. (2006), E62, m1994–m1996

The Trait-State Fear of Missing Out Scale: validity, reliability, and measurement invariance in a Chinese sample of university students

Background: Research into the 'fear of missing out' (FoMO) has greatly increased in recent years. In Asia, many university students frequently use social networking sites (SNSs) via their smartphone. There has also been some studies examining problematic social media use, but there are few Chinese studies concerning FoMO. This may be partly due to the lack of standardized measurement tools for assessing FoMO. Therefore, the present study psychometrically validated the Chinese version of the Trait-State Fear of Missing Out Scale (T-SFoMOS-C) and tested its reliability, validity and measurement invariance among Chinese university students. Methods: A total of 2,017 university students (aged 17 to 25 years) completed an online survey including the Chinese Trait-State Fear of missing Out Scale (T-SFoMOS-C), the Social Network Site Intensity Scale (SNSIS), and the International Positive and Negative Affect Scale short-form (I-PANAS-SF). Results: Item analysis and exploratory factor analysis was carried out on the T-SFoMOS-C. Confirmatory factor analysis (χ2 = 177.49, df = 50, p < .01; TLI = .959; CFI = .960; SRMR = .038; RMSEA = .050) and measurement invariance showed that the T-SFoMOS-C for university students had good construct validity among different groups. The internal consistency of the T-SFoMOS-C (.81), the test-retest reliability (.81), and the composite reliability of state-FoMO and trait-FoMO (.76 and .80) were also good. The T-SFoMOS-C was significantly correlated with the SNSIS (.40) and the Negative Affect (NA) (.26), respectively. Conclusions: The T-SFoMOS-C is relatively reliable and valid among different groups, supporting its utility among Chinese university students

Relationship between gaming disorder, self-compensation motivation, game flow, time spent gaming, and fear of missing out among a sample of Chinese university students: a network analysis

Background and Aims: In previous correlational research, the relationship between gaming disorder (GD), compensation motivation, game flow, time spent gaming, and fear of missing out (FoMO) has been examined. However, network analysis has rarely been applied to explore the relationship between GD, self-compensation motivation, game flow, time spent gaming, and FoMO. Therefore, the present study used network analysis to examine the relationship between the aforementioned variables among a sample of gamers. Methods: The present study comprised gamers (N = 1,635) recruited from three Chinese universities, who completed an online survey including the Gaming Disorder Test, Self-Compensation Motivation Questionnaire, Game Flow Questionnaire, and Trait-State Fear of Missing Out Scale, as well as four items related to time spent gaming. Results: Self-compensation motivation, game flow, time spent gaming, and FoMO were all significantly and positively associated with GD. In the domain-level and facet-level networks, weekday gaming hours and weekend gaming hours had the strongest edge intensity. The domain-level, facet-level, and item-level networks analysis also showed that GD was connected with self-compensation motivation, game flow, time spent gaming, and FoMO. The network structure demonstrated a significant difference between males and females (2.33 vs. 2.81, p = 0.001) using the domain-level network comparison test (NCT). Conclusions: The results suggest that GD is closely associated with self-compensation motivation, game flow, time spent gaming, and FoMO. FoMO and gaming motivation (i.e., self-compensation and game flow) may increase time spent gaming and facilitate GD. Therefore, interventions that decrease game immersion and time spent gaming are likely to decrease GD