DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model.

MicroRNAs (miRNAs) are a highly abundant collection of functional non-coding RNAs involved in cellular regulation and various complex human diseases. Although a large number of miRNAs have been identified, most of their physiological functions remain unknown. Computational methods play a vital role in exploring the potential functions of miRNAs.

Towards a polynomial algorithm for optimal contraction sequence of tensor networks from trees.

The computational cost of contracting a tensor network depends on the sequence of contractions, but to decide the sequence of contractions with a minimal computational cost on an arbitrary network has been proved to be an NP-complete problem. In this work, we conjecture that the problem may be a polynomial one if we consider the computational complexity instead. We propose a polynomial algorithm for the optimal contraction complexity of tensor tree network, which is a specific and widely applied network structure.

A population-based study of cardiovascular disease mortality risk in US cancer patients.

Aims: This observational study characterized cardiovascular disease (CVD) mortality risk for multiple cancer sites, with respect to the following: (i) continuous calendar year, (ii) age at diagnosis, and (iii) follow-up time after diagnosis.

Methods And Results: The Surveillance, Epidemiology, and End Results program was used to compare the US general population to 3 234 256 US cancer survivors (1973-2012). Standardized mortality ratios (SMRs) were calculated using coded cause of death from CVDs (heart disease, hypertension, cerebrovascular disease, atherosclerosis, and aortic aneurysm/dissection).

The Inducible CYP4C71 Can Metabolize Imidacloprid in Laodelphax striatellus (Hemiptera: Delphacidae).

Laodelphax striatellus (Fallén) is an important rice pest species which has developed high resistance to imidacloprid. Previous studies have demonstrated that CYP6AY3v2 and CYP353D1v2 were constitutively overexpressed in a imidacloprid resistant strain and can metabolize imidacloprid to mediated metabolic resistance. Further studies still needed to explore whether there are other L.

CHST15 promotes the proliferation of TE‑1 cells via multiple pathways in esophageal cancer.

Esophageal squamous cell carcinoma (ESCC) is a common type of esophageal cancer and is prevalent worldwide. Understanding the mechanisms underlying its formation and the search for more effective therapeutic strategies are critical due to the occurrence of chemotherapeutic drug resistance. The aim of the present study was to determine the functional relevance and therapeutic potential of carbohydrate sulfotransferase 15 (CHST15) in ESCC.

LDAH2V: Exploring Meta-Paths Across Multiple Networks for lncRNA-Disease Association Prediction.

Accumulating evidence has demonstrated dysfunctions of long non-coding RNAs (lncRNAs) are involved in various complex human diseases. However, even today, the relationships between lncRNAs and diseases remain unknown in most cases. Developing effective computational approaches to identify potential lncRNA-disease associations has become a hot topic.

[Expression and Clinical Significance of Late Endosomal/Lysosomal Adaptor,Mitogen-activated Protein Kinase and Mammalian Target of Rapamycin Activator 3 in Bladder Carcinoma].

Objective To investigate the expression and clinical significance of late endosomal/lysosomal adaptor,mitogen-activated protein kinase and mammalian target of rapamycin activator 3(LAMTOR3)in bladder carcinoma.Methods Oncomine and Expression Atlas were used to extract the useful mining gene chip database for analyzing the expression of LAMTOR3 in bladder carcinoma tissues and cell lines,and the correlation of LAMTOR3 with the clinicopathological features were analyzed.RT-PCR,Western blot,and immunohistochemistry were performed to detect the expression of LAMTOR3 in bladder carcinoma cell lines,specimens,and adjacent normal tissues for verifying the results exploited from the above databases.

Microwave photonic RF front-end for co-frequency co-time full duplex 5G communication with integrated RF signal self-interference cancellation, optoelectronic oscillator and frequency down-conversion.

A novel RF front-end, which could simultaneously realize wideband RF signal self-interference cancellation (SIC), local oscillator (LO) generator based on optoelectronic oscillator (OEO) and frequency down-conversion has been proposed and experimentally demonstrated. In our microwave photonic RF front-end, only one single-polarization optical in-phase and quadrature-phase (IQ) modulator are required. The upper Mach-Zehnder modulator (MZM) of this optical IQ modulator works as a mixer; the lower MZM works as a reference arm; the parent Mach-Zehnder interferometer (MZI) is used to combine two output optical signals of these two child MZMs.

A Transcriptional Network Promotes Anthocyanin Biosynthesis in Tomato Flesh.

Dietary anthocyanins are important health-promoting antioxidants that make a major contribution to the quality of fruits. It is intriguing that most tomato cultivars do not produce anthocyanins in fruit. However, the purple tomato variety Indigo Rose, which has the dominant Aft locus combined with the recessive atv locus from wild tomato species, exhibits light-dependent anthocyanin accumulation in the fruit skin.

New genotypes and molecular characterization of in pet birds in Southwestern China.

, a unicellular enteric microsporidian parasite, can infect humans and a wide range of animals throughout the world. Although has been identified in many animals, there is no information regarding the genotypes of in pet birds in China. Birds are important sources of emerging infectious diseases that affect humans, and immunosuppressed individuals can be exposed to potential zoonotic agents shed by birds.

DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy.

Drug combinations have demonstrated high efficacy and low adverse side effects compared to single drug administration in cancer therapies and thus have drawn intensive attention from researchers and pharmaceutical enterprises. Due to the rapid development of high-throughput screening (HTS), the number of drug combination datasets available has increased tremendously in recent years. Therefore, there is an urgent need for a comprehensive database that is crucial to both experimental and computational screening of synergistic drug combinations.

Rethinking the performance comparison between SNNS and ANNS.

Artificial neural networks (ANNs), a popular path towards artificial intelligence, have experienced remarkable success via mature models, various benchmarks, open-source datasets, and powerful computing platforms. Spiking neural networks (SNNs), a category of promising models to mimic the neuronal dynamics of the brain, have gained much attention for brain inspired computing and been widely deployed on neuromorphic devices. However, for a long time, there are ongoing debates and skepticisms about the value of SNNs in practical applications.

Prediction of Disease Comorbidity Using HeteSim Scores based on Multiple Heterogeneous Networks.

Background: Accumulating experimental studies have indicated that disease comorbidity causes additional pain to patients and leads to the failure of standard treatments compared to patients who have a single disease. Therefore, accurate prediction of potential comorbidity is essential to design more efficient treatment strategies. However, only a few disease comorbidities have been discovered in the clinic.

Phosphorus and oxygen co-doped composite electrode with hierarchical electronic and ionic mixed conducting networks for vanadium redox flow batteries.

The hierarchical electronic and ionic mixed conducting networks build in graphite felt electrodes possess excellent electrocatalytic activity and faster electronic and ionic conduction, resulting in an enhanced energy efficiency of vanadium redox flow batteries with durable life for 1000 cycles and a high discharge capacity of 10.1 A h L-1 at a current density of 350 mA cm-2.

[Exosomes in the Pathogenesis of Rheumatoid Arthritis].

Exosomes are 30-100 nm vesicles secreted from almost all types of cells.They contain various molecular constituents,including proteins,lipids,and RNA.As important mediators of cell-to-cell communication,exosomes are involved in a variety of physiological and pathological processes such as inflammatory reaction,cell proliferation and differentiation,tissue repair,immune signal transduction,and stress response.

PredPRBA: Prediction of Protein-RNA Binding Affinity Using Gradient Boosted Regression Trees.

Protein-RNA interactions play essential roles in many biological aspects. Quantifying the binding affinity of protein-RNA complexes is helpful to the understanding of protein-RNA recognition mechanisms and identification of strong binding partners. Due to experimentally measured protein-RNA binding affinity data available is still limited to date, there is a pressing demand for accurate and reliable computational approaches.

Survival Disparities in Black Patients With EGFR-mutated Non-small-cell Lung Cancer.

Background: Little is known about the difference between black and non-black patients with epidermal growth factor receptor (EGFR)-mutated non-small-cell lung cancer (NSCLC), particularly regarding survival. We thus characterized the EGFR expression profile, clinical characteristics, and survival outcome in these patients.

Patient And Methods: We reviewed the cancer registry and patient charts at a New York-Bronx network (n = 2773) treating a large population of minority patients, for non-squamous NSCLC (n = 1986) diagnosed between 2009 and 2015.

Methodology for accounting the net mitigation of China's ecological restoration projects (CANM-EP).

The real emission mitigation by the ecological restoration projects depends upon the integrated effect of all greenhouse gas (GHG) budgets rather than the carbon sequestration alone. However, a comprehensive and robust methodology for estimating the relevant GHG budgets and net mitigation of China's ecological restoration projects is still urgently to await development. Based on the methods from IPCC and statistical data of the management practices under the projects, we constructed a methodology for carbon accounting and determining net mitigation for ecological restoration projects in China (CANM-EP).

Metastatic location of extensive stage small-cell lung cancer: implications for thoracic radiation.

Backgrounds: This study was designed to evaluate the role of thoracic radiotherapy (TRT) in a selected patient population with oligometastatic extensive stage small-cell lung cancer (ES-SCLC) without brain or liver involved. The underlying hypothesis was that TRT will improve outcomes in this favorable patient population.

Methods: 305 patients were included in an institutional review board (IRB)-approved study, of which 105 received TRT after chemotherapy (ChT) and 200 received ChT alone.

Ferrocene-Containing Conjugated Oligomers Synthesized by Acyclic Diene Metathesis Polymerization.

A series of conjugated, symmetrical, and ferrocene-containing main-chain monomers was prepared following a gentle coupling reaction. Ferrocene-containing oligomers with all--configured vinylene bonds could be synthesized via acyclic diene metathesis (ADMET) polymerization. These oligomers had a larger Stokes shift (2400 to 2600 cm) and both exhibited stable and reversible electrochemistry.

Systemic Inflammation-Immune Status Predicts Survival in Stage III-N2 Non-Small Cell Lung Cancer.

Background: Systematic inflammation-immune status has been thought to play a crucial role in tumorigenesis and progress. This study evaluated the prognostic value of systematic inflammation-immune status in patients with resected non-small cell lung cancer with pathological N2 nodal involvement (pN2-NSCLC).

Methods: The relation between the preoperative systematic inflammation-immune score (SIS), defined as preoperative peripheral platelet count × neutrophil count/lymphocyte count, and prognosis was tested in a retrospective study of 660 consecutive patients with completed resected pN2-NSCLC and validated by a prospective study of 189 patients enrolled (NCT00880971).

Dynamics of soil microbial C:N:P stoichiometry and its driving mechanisms following natural vegetation restoration after farmland abandonment.

Vegetation restoration after farmland abandonment has increased greatly and is commonly used to improve soil fertility and ecosystem service. Knowledge of soil community-level elemental homeostasis following natural vegetation restoration is specially limited for the abandoned farmlands. This study examined the changes in soil microbial biomass stoichiometry and homeostasis with a chronosequence of 3, 8, 13, 18, 23 and 30 years following natural vegetation restoration since farmland abandonment on the Loess Plateau, China.