Heptaaqua­(3,4,5,6-tetra­chloro­phthalato-κO 1)erbium(III) 2-carb­oxy-3,4,5,6-tetra­chloro­benzoate–3,4,5,6-tetra­chloro­phthalic acid–water (1/1/1)

In the three-dimensional tetra­chloro­phthalate-bridged title complex [Er(C8Cl4O4)(H2O)7](C8HCl4O4)·C8H2Cl4O4·H2O, the ErIII ion is coordinated in form of a distorted square antiprism by an O atom of a tetra­chloro­phthalate ligand and by seven water O atoms. Extensive hydrogen bonds establish a layered network structure extending parallel to (001)

An improved double channel long short-term memory model for medical text classification

There are a large number of symptom consultation texts in medical and healthcare Internet communities, and Chinese health segmentation is more complex, which leads to the low accuracy of the existing algorithms for medical text classification. The deep learning model has advantages in extracting abstract features of text effectively. However, for a large number of samples of complex text data, especially for words with ambiguous meanings in the field of Chinese medical diagnosis, the word-level neural network model is insufficient. Therefore, in order to solve the triage and precise treatment of patients, we present an improved Double Channel (DC) mechanism as a significant enhancement to Long Short-Term Memory (LSTM). In this DC mechanism, two channels are used to receive word-level and char-level embedding, respectively, at the same time. Hybrid attention is proposed to combine the current time output with the current time unit state and then using attention to calculate the weight. By calculating the probability distribution of each timestep input data weight, the weight score is obtained, and then weighted summation is performed. At last, the data input by each timestep is subjected to trade-off learning to improve the generalization ability of the model learning. Moreover, we conduct an extensive performance evaluation on two different datasets: cMedQA and Sentiment140. The experimental results show that the DC-LSTM model proposed in this paper has significantly superior accuracy and ROC compared with the basic CNN-LSTM model

Gender-Related Differences in the Dysfunctional Resting Networks of Migraine Suffers

BACKGROUND: Migraine shows gender-specific incidence and has a higher prevalence in females. However, little is known about gender-related differences in dysfunctional brain organization, which may account for gender-specific vulnerability and characteristics of migraine. In this study, we considered gender-related differences in the topological property of resting functional networks. METHODOLOGY/PRINCIPAL FINDINGS: Data was obtained from 38 migraine patients (18 males and 20 females) and 38 healthy subjects (18 males and 20 females). We used the graph theory analysis, which becomes a powerful tool in investigating complex brain networks on a whole brain scale and could describe functional interactions between brain regions. Using this approach, we compared the brain functional networks between these two groups, and several network properties were investigated, such as small-worldness, network resilience, nodal centrality, and interregional connections. In our findings, these network characters were all disrupted in patients suffering from chronic migraine. More importantly, these functional damages in the migraine-affected brain had a skewed balance between males and females. In female patients, brain functional networks showed worse resilience, more regions exhibited decreased nodal centrality, and more functional connections revealed abnormalities than in male patients. CONCLUSIONS: These results indicated that migraine may have an additional influence on females and lead to more dysfunctional organization in their resting functional networks

Hopping of an impurity defect in ion crystals in linear traps

Ordered arrays of laser-cooled, trapped ions or "ion crystals\u27\u27 are a novel form of matter with a rich variety of equilibrium structures and dynamics. In this thesis, we investigate the hopping mobility of a $^{172}$Yb$^+$ impurity ion within a crystal of $^{171}$Yb$^+$ ions, confined in a linear Paul trap. The site-to-site hopping of the impurity ion, distinguished by a lack of fluorescence, is studied as a function of the $^{171}$Yb$^+$ laser-cooling parameters and of the anisotropy of the trapping potential. The onset of rapid hopping is found to occur when average thermal energies become comparable to the Coulomb potential energy. Furthermore, the hopping rate is enhanced at trap anisotropies near the critical value for the structural phase transition to a two-dimensional zigzag phase. The impurity ion has the highest hopping mobility near the centre of the crystal, which may be intrinsic to the crystal structure and dynamics near the zigzag transition. Simplified molecular-dynamics simulations reproduce several features of the experimental results

Opportunity and Challenge for Production of Medical 99Mo with Low Enriched Uranium Targets in China

99mTc, as the daughter of 99Mo, is the most important medical radioisotope in nuclear medicine. 99Mo is usually extracted from fission products of uranium235. Due to the restriction of treaty on the NonProliferation of Nuclear Weapons (NPT) for high enriched uranium (HEU, higher than 90% 235U enrichment that is usually 93%), it will be the trend to use low enriched uranium (LEU, less than 20% 235U enrichment that is usually 19.75%) targets for medical 99Mo production. Up to date, South Africa, Australia, Belgium and Netherland had completed the conversion from HEU to LEU technology. In this paper, based on medical application and market demand of 99Mo, opportunity and challenge of 99Mo production with LEU targets were analyzed. Non-fission 99Mo can be produced at a large scale by neutron irradiating 98Mo target in reactor, while the fabrication technology for 99Mo-99mTc generator with low specific activity of 99Mo has not been broken through, which indicates little possibility of replacement of fission 99Mo by non-fission 99Mo. For the LEU technology itself, emphasis should be put on fabrication of LEU target, high efficiency of 99Mo seperation from LEU target

Electrophoretic deposition of Ti3Si(Al)C2 from aqueous suspension

Ti3Si(Al)C2 films were electrophoretically deposited at 3 V on indium-tin-oxide (ITO) conductive glass from Ti3Si(Al)C2 aqueous suspension with 1 vol% solid loading at pH 9 in the absence of any dispersant. The surface morphology, cross section microstructure, and preferred orientation of the films were investigated by scanning electron microscopy and X-ray diffraction. The as-deposited Ti3Si(Al)C2 films exhibited (00l) preferred orientation and the thickness can be controlled by the deposition–drying–deposition method. These results demonstrate that electrophoretic deposition is a simple and feasible method to prepare MAX-phases green films at room temperature