A new AgI complex based on 1-[(1H-benzimidazol-1-yl)meth­yl]-1H-1,2,4-triazole

In the title complex, bis­{μ-1-[(1H-benzimidazol-1-yl)meth­yl]-1H-1,2,4-triazole}disilver(I) dinitrate, [Ag2(C10H9N5)2](NO3)2, the AgI ion is nearly linearly coordinated [N—Ag—N angle is 155.72 (14)°] by two 1-[(1H-benzimidazole-1-yl)meth­yl]-1H-1,2,4-triazole (bmt) ligands. In addition, two bmt ligands link two AgI ions, forming a dinuclear unit with an Ag⋯Ag distance of 5.0179 (15) Å. The whole complex is generated by an inversion centre. The dinuclear units and the NO3 − counter-ions are connected by N—H⋯O hydrogen bonds and weak Ag⋯O inter­actions [2.831 (5), 2.887 (5) and 2.908 (5) Å], leading to a three-dimensional structure

A new copper(II) complex based on 1-[(1H-benzotriazol-1-yl)meth­yl]-1H-1,2,4-triazole

The title complex, tetra­aqua­{1-[(1H-benzotriazol-1-yl)meth­yl]-1H-1,2,4-triazole-κN 4}(sulfato-κO)copper(II) sesquihydrate, [Cu(SO4)(C9H8N6)(H2O)4]·1.5H2O, is composed of one copper atom, one 1-[(2H-benzotriazol-1-yl)meth­yl]-1-H-1,2,4-triazole (bmt) ligand, one sulfate ligand, four coordin­ated water mol­ecules and one and a half uncoordinated water mol­ecules. The CuII atom is six-coordinated by one N atom from a bmt ligand and five O atoms from the monodentate sulfate ligand and four water mol­ecules in a distorted octa­hedral geometry. In the crystal, adjacent mol­ecules are linked through O—H⋯O and O—H⋯N hydrogen bonds involving the sulfate anion and the coordin­ated and uncoordinated water mol­ecules into a three-dimensional network

Dichloridobis[2-(2-fur­yl)-1-(2-furylmeth­yl)-1H-benzimidazole-κN 3]cadmium(II)

In the title complex, [CdCl2(C16H12N2O2)2], the CdII ion exhibits site symmetry 2. It shows a distorted tetra­hedral coordination defined by two N atoms from symmetry-related 2-(2-fur­yl)-1-(2-furylmeth­yl)-1H-benzimidazole ligands and by two symmetry-related Cl atoms. Intra­molecular C—H⋯O hydrogen bonds stabilize the mol­ecular configuration. Adjacent mol­ecules are linked through C—H⋯Cl hydrogen bonds into a network structure

Study on turbidity current head going through the changing width section

AbstractBased on former research on the turbidity current, and learning lessons from the study on turbidity current,11 flume experiments has been operated with combined factors on different sediment concentration and different width. From the surveyed data turbidity current head going through the changing width section have been analyzed. Taken use of mathematical statistics method, local resistance coefficient of turbidity current head has been acquired on the changing width section

Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images

This paper focuses on the scale imbalance problem of semi-supervised object detection(SSOD) in aerial images. Compared to natural images, objects in aerial images show smaller sizes and larger quantities per image, increasing the difficulty of manual annotation. Meanwhile, the advanced SSOD technique can train superior detectors by leveraging limited labeled data and massive unlabeled data, saving annotation costs. However, as an understudied task in aerial images, SSOD suffers from a drastic performance drop when facing a large proportion of small objects. By analyzing the predictions between small and large objects, we identify three imbalance issues caused by the scale bias, i.e., pseudo-label imbalance, label assignment imbalance, and negative learning imbalance. To tackle these issues, we propose a novel Scale-discriminative Semi-Supervised Object Detection (S^3OD) learning pipeline for aerial images. In our S^3OD, three key components, Size-aware Adaptive Thresholding (SAT), Size-rebalanced Label Assignment (SLA), and Teacher-guided Negative Learning (TNL), are proposed to warrant scale unbiased learning. Specifically, SAT adaptively selects appropriate thresholds to filter pseudo-labels for objects at different scales. SLA balances positive samples of objects at different scales through resampling and reweighting. TNL alleviates the imbalance in negative samples by leveraging information generated by a teacher model. Extensive experiments conducted on the DOTA-v1.5 benchmark demonstrate the superiority of our proposed methods over state-of-the-art competitors. Codes will be released soon

catena-Poly[[(acetato-κ2 O,O′)(methanol-κO)cadmium(II)]-μ-[1,2-bis­(1H-benzimid­azol-2-yl)ethane]-κ2 N 3:N 3′-[(acetato-κ2 O,O′)(methanol-κO)cadmium(II)]-di-μ-chlorido]

In the title complex, [Cd2(CH3COO)2Cl2(C16H14N4)(CH3OH)2]n, the CdII atom is six-coordinated by one N atom from a centrosymmetric bridging 1,2-bis­(2,2′-1H-benzimidazol-2-yl)ethane (bbe) ligand, two O atoms from a chelating acetate ligand, one O atom from a methanol mol­ecule and two bridging Cl atoms in a distorted octa­hedral geometry. The CdII atoms are connected alternately by the Cl atoms and bbe ligands, leading to a chain along [001]. These chains are further linked by O—H⋯O hydrogen bonds. Intra­chain N—H⋯O hydrogen bonds are observed

Acetato­chlorido[2,2′-(ethane-1,2-di­yl)di-1H-benzimidazole]­copper(II) monohydrate

In the title complex, [Cu(CH3COO)Cl(C16H14N4)]·H2O, the CuII ion is five-coordinated by two N atoms from a 2,2′-(ethane-1,2-di­yl)di-1H-benzimidazole ligand, two O atoms from a chelating acetate ligand and one terminal monodentate Cl atom in a distorted square-pyramidal geometry. In the crystal, adjacent mol­ecules are linked through O—H⋯Cl, N—H⋯Cl, N—H⋯O and O—H⋯O hydrogen bonds into a three-dimensional network

Characterization of four vaccine-related polioviruses including two intertypic type 3/type 2 recombinants associated with aseptic encephalitis

Temperature sensitivity of 4 poliovirus type 3 isolates. (DOC 31 kb