Computer-Assisted Design of Environmentally Friendly and Light-Stable Fluorescent Dyes for Textile Applications.

Five potentially environmentally friendly and light-stable hemicyanine dyes were designed based on integrated consideration of photo, environmental, and computational chemistry as well as textile applications. Two of them were synthesized and applied in dyeing polyacrylonitrile (PAN), cotton, and nylon fabrics, and demonstrated the desired properties speculated by the programs. The computer-assisted analytical processes includes estimation of the maximum absorption and emission wavelengths, aquatic environmental toxicity, affinity to fibers, and photo-stability. This procedure could effectively narrow down discovery of new potential dye structures, greatly reduce and prevent complex and expensive preparation processes, and significantly improve the development efficiency of novel environmentally friendly dyes

A Review of EFL Formulaic Language Acquisition and Teaching intervention

This paper reviews EFL formulaic language research in international and Chinese domestic academia from the perspectives of language acquisition and language teaching. Current studies have some limitations due to different types of reasons. For example, a lack of representativeness in the selection of target items, a lack of attention to learner’s differences, and a scanty of high-quality EFL formulaic sequences instruction research. Future research can pay more attention to learners’ differences that may affect the acquisition and learning process of the formulaic language, with the aim of exploring effective methods and approaches to improve the competence of EFL learners and promoting the optimization of theories exploring the teaching of EFL formulaic language

A Review on the Role of Token Frequency in the Acquisition of Argument Structures

The role of frequency in second language acquisition has become an important focus among second language acquisition researchers. Argument structure, as one of the core topics of verbs, has always been the focus of academic attention. Frequency has a certain influence on second language construction acquisition, and the corresponding research is abundant. This paper reviews the research on the acquisition of argument structure construction with token frequency and its enlightenment to teaching, and puts forward some suggestions for future research

The Review and Prospect of the Acquisition and Teaching Methods of Phrasal Verbs

The phrasal verb (PV) plays an important role in the English output, but the English learners’ acquisition and usage situation of PVs is not so optimistic. Thus, phrasal verb has always been the hot research topic for the recent years. The previous researches mainly include the current English learners’ usage situation or the avoidance of the phrasal verbs, the factors affecting the acquisition of the phrasal verbs like the social and subjective factors and the linguistic rules, and the different teaching methods of phrasal verbs like the different input and output ways and the combination of input and output ways. All of these aspects are deserved to be studied and concluded to find out more effective methods for phrasal verbs acquisition and teaching. And the combination of cognitive linguistic method and the task-based output method maybe deserved to be tested for the potential advantages of both ways and the research gap

Surface bioactivation through the nanostructured layer on titanium modified by facile HPT treatment

AbstractFacile fabrication of nanostructured surface is of great importance for the use of titanium (Ti) implants in biomedical field. In this study, a low-cost and easy-to-operate method called HPT (hydrothermal &amp; pressure) here has been developed and used to fabricate the expected nanostructured surface on Ti substrates. The effects of experimental parameters on the morphology of Ti surface were investigated and characterized. The results indicated that by altering the hydrothermal pressure, NaOH concentration and treating time, surface nanostructure like nanopetals or nanoflakes could be formed on the surface of Ti substrates. The orthogonal experiments were conducted to demonstrate the optimized operation conditions. A formation mechanism of the nanostructured titanate layer was proposed, revealing that the nanostructured layer could be formed via a special upward and downward co-growth manner. In vitro cell culture showed that the HPT treated Ti substrates, especially the T-10 sample, could greatly enhance the cell-material interactions, i.e. the cell proliferation and differentiation, focal protein adhesion, and osteogenic factor expression. The HPT method paves a new way to modify the surface of Ti implants with better bioactivity and promising prospect for future biomedical applications.</jats:p

Optimisation Models for Pathway Activity Inference in Cancer

BACKGROUND: With advances in high-throughput technologies, there has been an enormous increase in data related to profiling the activity of molecules in disease. While such data provide more comprehensive information on cellular actions, their large volume and complexity pose difficulty in accurate classification of disease phenotypes. Therefore, novel modelling methods that can improve accuracy while offering interpretable means of analysis are required. Biological pathways can be used to incorporate a priori knowledge of biological interactions to decrease data dimensionality and increase the biological interpretability of machine learning models. METHODOLOGY: A mathematical optimisation model is proposed for pathway activity inference towards precise disease phenotype prediction and is applied to RNA-Seq datasets. The model is based on mixed-integer linear programming (MILP) mathematical optimisation principles and infers pathway activity as the linear combination of pathway member gene expression, multiplying expression values with model-determined gene weights that are optimised to maximise discrimination of phenotype classes and minimise incorrect sample allocation. RESULTS: The model is evaluated on the transcriptome of breast and colorectal cancer, and exhibits solution results of good optimality as well as good prediction performance on related cancer subtypes. Two baseline pathway activity inference methods and three advanced methods are used for comparison. Sample prediction accuracy, robustness against noise expression data, and survival analysis suggest competitive prediction performance of our model while providing interpretability and insight on key pathways and genes. Overall, our work demonstrates that the flexible nature of mathematical programming lends itself well to developing efficient computational strategies for pathway activity inference and disease subtype prediction

Advanced diffuse hepatic angiosarcoma treated successfully with TACE and targeted immunotherapy: A case report

Primary hepatic angiosarcoma (PHA), a rare soft tissue tumor, accounts for only 2% of all liver malignancies. Pathologically challenging, PHA is difficult to be distinguished from other malignancies with ultrasound, Computed Tomography (CT), or Magnetic Resonance Imaging (MRI). Due to late diagnosis and resistance against traditional chemotherapy and/or radiotherapy, only 3% of PHA patients can survive up to two years after diagnosis. To our best knowledge, this case report presents the first case of an advanced diffuse PHA with ruptured hemorrhage that has been effectively treated with TACE and Anlotinib plus Camrelizumab. So far, the patient has received 10 cycles of treatment and is faring well. Latest MRI results show that the tumor has shrunk by 56% and can be assessed as a partial response (PR). This case report includes our experience in treating such a advanced malignancy, and we hope that larger studies on advanced PHA can better quantify the potential benefit