Evapotranspiration estimation using Landsat-8 data with a two-layer framework

This work was partially supported by the National Natural Science Foundation of China (41401042), National Key Basic Research Program of China (973 Program) (Grant No. 2015CB452701) and National Natural Science Foundation of China (Grant Nos. 41571019 and 41371043).Peer reviewedproo

A new genus and a new species of the tribe Haplotropidini Sergeev (Orthoptera: Acridoidea, Pamphagidae, Pamphaginae) with a key to the three genera of the tribe from China

This paper reports a new genus and a species of the tribe Haplotropidini Sergeev, 1995, i.e. Sulcohumpacris Yin, Yin et Cao gen. n. and Sulcohumpacris hebeiensis Yin, Yin et Cao sp. n. from Hebei Province, China. The new genus is similar to Humphaplotropis Xiao, Yin et Yin, 2013, but differs from the latter by the hump-formed pronotum along the median keel being deeply cut by hind sulcus and hence divided in two waves in lateral view, the anterior margin being acutely angular in the middle, the apex not reaching the hindmargin of the eyes, the frontal ridge being widened at the median ocellus, and the abdomen having large teeth along the median keel in lateral view. A key to the three genera of this Chinese tribe is given. The type specimens are deposited in the Museum of Hebei University, Baoding, China

Effects of concurrent treatment with amitriptyline hydrochloride tablets and fluoxetine hydrochloride on therapeutic indicator levels in patients with depression

Purpose: To investigate the effects of combined treatment of amitriptyline hydrochloride tablets and fluoxetine hydrochloride on therapeutic indicator levels in depressive patients.Methods: Patients with depression (n = 104) were divided into control group and study group (52 cases each) using random number table method. Control group was treated with oral fluoxetine hydrochloride (FH) tablets only, while the study group received amitriptyline hydrochloride tablets, in addition to fluoxetine hydrochloride tablets. Both treatments lasted 3 months. Clinical effects and thyroid function indices were determined and compared for the two groups.Results: Treatment effectiveness in the study group (92.3 %) was markedly higher than that in control group (75.0 %, p < 0.05). In both groups, Pittsburgh Sleep Quality Index, Hamilton Depression Scale and Hamilton Anxiety Table scores significantly decreased post-treatment (p < 0.05). In contrast, there was significant increase in γ-aminobutyric acid (GABA) and serotonin (5-HT) levels in the two groups. In both groups, T3 and T4 significantly decreased while thyroid stimulating hormone (TSH) increased significantly (p < 0.05). Thyroid function in the study group was markedly higher than in the control group (p < 0.05).Conclusion: Combination treatment with amitriptyline hydrochloride tablets and FH is more effective than FH alone in the treatment of patients with depression. The combined treatment has a high degree of safety and is recommended for clinical application.Keywords: Amitriptyline hydrochloride, Fluoxetine hydrochloride, Depression, PSQI score, HAMD-17 score, HAMA score, GABA, 5-H

BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework

Motivation: Removal of batch effect between multiple datasets from different experimental platforms has become an urgent problem, since single-cell RNA sequencing (scRNA-seq) techniques developed rapidly. Although there have been some methods for this problem, most of them still face the challenge of under-correction or over-correction. Specifically, handling batch effect in highly nonlinear scRNA-seq data requires a more powerful model to address under-correction. In the meantime, some previous methods focus too much on removing difference between batches, which may disturb the biological signal heterogeneity of datasets generated from different experiments, thereby leading to over-correction. Results: In this article, we propose a novel multi-layer adaptation autoencoder with dual-channel framework to address the under-correction and over-correction problems in batch effect removal, which is called BERMAD and can achieve better results of scRNA-seq data integration and joint analysis. First, we design a multi-layer adaptation architecture to model distribution difference between batches from different feature granularities. The distribution matching on various layers of autoencoder with different feature dimensions can result in more accurate batch correction outcome. Second, we propose a dual-channel framework, where the deep autoencoder processing each single dataset is independently trained. Hence, the heterogeneous information that is not shared between different batches can be retained more completely, which can alleviate over-correction. Comprehensive experiments on multiple scRNA-seq datasets demonstrate the effectiveness and superiority of our method over the state-of-the-art methods

Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks

Artificial Intelligence (AI) has found wide application, but also poses risks due to unintentional or malicious tampering during deployment. Regular checks are therefore necessary to detect and prevent such risks. Fragile watermarking is a technique used to identify tampering in AI models. However, previous methods have faced challenges including risks of omission, additional information transmission, and inability to locate tampering precisely. In this paper, we propose a method for detecting tampered parameters and bits, which can be used to detect, locate, and restore parameters that have been tampered with. We also propose an adaptive embedding method that maximizes information capacity while maintaining model accuracy. Our approach was tested on multiple neural networks subjected to attacks that modified weight parameters, and our results demonstrate that our method achieved great recovery performance when the modification rate was below 20%. Furthermore, for models where watermarking significantly affected accuracy, we utilized an adaptive bit technique to recover more than 15% of the accuracy loss of the model

Role of Zebrafish Lbx2 in Embryonic Lateral Line Development

Background: The zebrafish ladybird homeobox homologous gene 2 (lbx2) has been suggested to play a key role in the regulation of hypaxial myogenic precursor cell migration. Unlike their lbx counterparts in mammals, the function of teleost lbx genes beyond myogenesis during embryonic development remains unexplored. Principal Findings: Abrogation of lbx2 function using a specific independent morpholino oligonucleotide (MO) or truncated lbx2 mRNA with an engrailed domain deletion (lbx2 eh-) resulted in defective formation of the zebrafish posterior lateral line (PLL). Migration of the PLL primordium was altered and accompanied by increased cell death in the primordium of lbx2-MOinjected embryos. A decreased number of muscle pioneer cells and impaired expression pattern of sdf1a in the horizontal myoseptum was observed in lbx2 morphants. Significance: Injection of lbx2 MO or lbx2 eh- mRNA resulted in defective PPL formation and altered sdf1a expression, confirming an important function for lbx2 in sdf1a-dependent migration. In addition, the disassociation of PPL nerve extension with PLL primordial migration in some lbx2 morphants suggests that pathfinding of the PLL primordium and th