Crystal structure and Hirshfeld surface analysis of ethane-1,2-diaminium 3-[2-(1,3-dioxo-1,3-diphenylpropan-2-ylidene)hydrazinyl]-5-nitro-2-oxidobenzenesulfonate dihydrate

In the anion of the title hydrated salt, C2H10N2 2+·C21H13N3O8S2−·2H2O, the planes of the phenyl rings and the benzene ring of the 5-nitro-2-oxidobenzenesulfonate group are inclined to one another by 44.42 (11), 56.87 (11) and 77.70 (12)°. In the crystal, the anions are linked to the cations and the water molecules by N—H...O and O—H...O hydrogen bonds, forming a three-dimensional network. Furthermore, there are face-to-face π–π stacking interactions between the centroids of one phenyl ring and the benzene ring of the 5-nitro-2-oxidobenzenesulfonate group [centroid–centroid distance = 3.8382 (13) Å and slippage = 1.841 Å]. A Hirshfeld surface analysis was conducted to verify the contributions of the different intermolecular interactions.

Evaluasi Konsumen di "RM. Pak Kardi" Pemalang dengan Analisis Diskriminan

Penelitian ini bertujuan mengetahui apakah ada perbedaan yang siqnifikan dalam variabel dependen (Y) yang meliputi konsumen sering Beli (YO), Cukup (Y I) dan Jarang Beli (Y2), serta bertujuan mengetahui perilaku konsumen yang benar-benar berbeda, perbedaan dalam arti perilaku mereka sering membeli, cukup dan jarang membeli. Metode analisis yang digunakan adalah dengan Wilk's Lambda, Pairwise, F test. Canonical corellation, untuk mencari ada dan tidak perbedaan antar group variabel dependen dan menginterpretasikan berdasarkan function at group centroid untuk mengetahui variabel independen mana yang menjadi faktor diskriminannya. Hasil yang didapat dari penelitian ini adalah bahwa variabel menu merupakan faktor pembeda (diskriminan). Artinya konsumen grup (sering beli, cukup dan jarang beli) tidak terpengaruh dengan usia, harga, pendapatan, dan pelayanan yang diberikan oleh RM. Pak Kardi ditunjukkan dengan tanda (+) padafunction I. Jadi konsumen yang membeli di RM. Pak Kardi adalah mereka yang benar-benar menyukai menu (masakan khas kepiting) RM. Pak Kardi. Jarak antara grup Sering Beli dengan grup Jarang Beli adalah yang terbesar, yakni 7,350. Sedangkan jarak terkecil adalah antara grup Cukup dengan grup Jarang Beli (0.522). Dengan demikian dapat dikatakan bahwa Konsumen di grup Sering Beli paling berbeda selera Menu masakannya. Sebaliknya Menu yang disukai oleh konsumen di RM. Pak Kardi yang termasuk konsumen Cukup mempunyai perbedaan yang kecil dengan mereka yang jarang membeli

(E)-4-Methyl-N′-[(4-oxo-4H-chromen-3-yl)methylidene]benzohydrazide

In the title chromone-tethered benzohydrazide derivative, C18H14N2O3, the 4H-chromen-4-one and the –CH=N–NH–CO– units are each essentially planar, with the largest deviations from thei planes being 0.052 (2) and 0.003 (2) Å, respectively. The dihedral angles between the 4H-chromen-4-one and the –CH=N–NH–CO– units, the 4H-chromen-4-one unit and the benzene ring of the 4-tolyl group, and the benzene ring of the 4-tolyl group and the –CH=N–NH–CO– unit are 8.09 (7), 9.94 (5) and 17.97 (8)°, respectively. In the crystal, the molecules form two types of centrosymmetric dimers: one by N—H...O hydrogen bonds and the other by π–π stacking interactions between the 4H-chromen-4-one unit and the 4-tolyl group [centroid–centroid distance = 3.641 (5) Å]. These dimers form one-dimensional assemblies extending along thea-axis direction. Additional π–π stacking interactions between two 4H-chromen-4-one units [centroid–centroid distance = 3.591 (5) Å] and two 4-tolyl groups [centroid–centroid distance = 3.792 (5) Å] organize the molecules into a three-dimensional network.

A Novel Clustering Model Based on Set Pair Analysis for the Energy Consumption Forecast in China

The energy consumption forecast is important for the decision-making of national economic and energy policies. But it is a complex and uncertainty system problem affected by the outer environment and various uncertainty factors. Herein, a novel clustering model based on set pair analysis (SPA) was introduced to analyze and predict energy consumption. The annual dynamic relative indicator (DRI) of historical energy consumption was adopted to conduct a cluster analysis with Fisher’s optimal partition method. Combined with indicator weights, group centroids of DRIs for influence factors were transferred into aggregating connection numbers in order to interpret uncertainty by identity-discrepancy-contrary (IDC) analysis. Moreover, a forecasting model based on similarity to group centroid was discussed to forecast energy consumption of a certain year on the basis of measured values of influence factors. Finally, a case study predicting China’s future energy consumption as well as comparison with the grey method was conducted to confirm the reliability and validity of the model. The results indicate that the method presented here is more feasible and easier to use and can interpret certainty and uncertainty of development speed of energy consumption and influence factors as a whole.

Poor Groups Around Strong Gravitational Lenses

Poor groups are common and interactive environments for galaxies, and thus are important laboratories for studying galaxy evolution. Unfortunately, little is known about groups at z ≥ 0.1, because of the difficulty in identifying them in the first place. Here we present results from our ongoing survey of the environments of strong gravitational lenses, in which we have so far discovered six distant (z ≥ 0.5) groups of galaxies. As in the local Universe, the highest velocity dispersion groups contain a brightest member spatially coincident with the group centroid, whereas lower-dispersion groups tend to have an offset brightest group galaxy. This suggests that higher-dispersion groups are more dynamically relaxed than lower-dispersion groups and that at least some evolved groups exist by z ~ 0.5. We also compare the galaxy and hot gas kinematics with those of similarly distant clusters and of nearby groups.

A classification-ordination analysis of a Belgian mixed forest in the transition zone of two phytogeographical districts. II. Spring data

From 115 quadrats, laid out in the same way and on the same coordinates as described in a first paper, cover-abundance and height data were collected in april 1976 on 58 taxa, belonging to the upper and lower herb layer, on the moss layer as a whole and on the litter. They were submitted to four classification methods, namely Unweighted pair-group centroid technique (UPGC), normal Association analysis (NAA) , agglomerative normal and inverse Information analysis (NIA and IIA), Minimum variance clustering (MVC), and to four ordination methods, namely Beals' Polar ordination (POS), Simple ordination (SO), Optimized polar ordination (OPO) and Position vectors ordination (PVO). The only divisive method (NAA) produces more than sufficient results: they are slightly better with the 1%-stopping rule especially when no species reduction is involved. NAA and NIA give quite similar results. From the three agglomerative techniques, the greatest number of vegetation- clusters (7), recognizable in the field, has been obtained with MVC, the poorest picture however by UPGC. With regard to the forest-structure, the better results are with NIA, followed by MVC. Moreover. NIA applied in a quantitative way, is less appropriate. The outcome of species classification is not interpretable. The ordination results obtained by OPO and PVO are better as compared to those from POB and SO, as well in discovering gradients as clusters, the gradients particularly reflect changes in cover-abundance and height. In the ordination of vegetation quadrats, the total of the efficiency ratios extracted for the first three axes in PVO and GPO are respectively four and three times higher than with SO. Concerning the structure quadrats, the percentage extraction values are very high and very alike. Comparing the spring with the summer forest, UPGC distinguishes more identifiable vegetation types in the summer data, NAA on the contrary in the spring data.

Perception of Role of the President

The Activity Vector Analysis was administered to 31 Ss under the instruction to select those words which they felt described the kind of person the President of the United States should be. A significant cluster which included 29 of the 31 Ss was noted. The personality profiles located within the cluster correlated, on the average, +.93 with the group centroid. They are generally descriptive of a person who is socially outgoing; who displays a genuine interest in people; who is enthusiastic, but diplomatic in his social contacts; who is mentally and physically alert; and who exercises good moral judgment.