Novel approaches for the development of peripheral nerve regenerative therapies

Schwann cells are the myelinating glial cells of the peripheral nervous system（PNS）.By establishing lipid-rich myelin sheaths around large-caliber axons,they ensure that electrical signal transmission is accelerated-a process referred to as saltatory signal propagation.Apart from this prominent physiological function,these cells also exert important pathophysiological roles in PNS injuries or dis- eases. In contrast to the central nervous system （CNS）, the adult PNS retains a remarkably high degree of intrinsic re- generation. As a consequence, transected axons and dam- aged myelin sheaths can be repaired and nerve functional- ity can be restored. This spontaneous regenerative capacity depends on （inter） actions of macrophages, neurons, and Schwann cells.

Pseudomonas aeruginosa:Infections and novel approaches to treatment“Knowing the enemy”the threat of Pseudomonas aeruginosa and exploring novel approaches to treatment

Pseudomonas aeruginosa is an aerobic Gram-negative rod-shaped bacterium with a comparatively large genome and an impressive genetic capability allowing it to grow in a variety of environments and tolerate a wide range of physical conditions.This biological flexibility enables the P.aeruginosa to cause a broad range of infections in patients with serious underlying medical conditions,and to be a principal cause of health care associated infection worldwide.The clinical manifestations of P.aeruginosa include mostly health care associated infections and community-acquired infections.P.aeruginosa possesses an array of virulence factors that counteract host defence mechanisms.It can directly damage host tissue while utilizing high levels of intrinsic and acquired antimicrobial resistance mechanisms to counter most classes of antibiotics.P.aeruginosa co-regulates multiple resistance mechanisms by perpetually moving targets poses a significant therapeutic challenge.Thus,there is an urgent need for novel approaches in the development of anti-Pseudomonas agents.Here we review the principal infections caused by P.aeruginosa and we discuss novel therapeutic options to tackle antibiotic resistance and treatment of P.aeruginosa infections that may be further developed for clinical practice.

NOVEL APPROACHES FOR THE DETERMINATION OF MULTIPLE PARTICULAR PESTICIDES IN TRADITIONAL CHINESE MEDICINES WITH COMPLEX MATRICES

The pesticide contamination of Traditional Chinese Medicines(TCMs)takes different ways,which caused the complexity of pesticide residues.The effective control of pesticide residues and the establishment of relevant detection methods are very important for ensuring the safety of TCMs.Our group has been committed to the determination of pesticide residues in TCMs for years.

A Novel Approach for Optimum Conjunctive Use Management of Groundwater and Surface Water Resources under Uncertainty

Uncertainty in determining optimum conjunctive water use lies not only on variability of hydrological cycle and climate but also on lack of adequate data and perfect knowledge about groundwater-surface water system interactions, errors in historic data and inherent variability of system parameters both in space and time. Simulation-optimization models are used for conjunctive water use management under uncertain conditions. However, direct application of such approach whereby all realizations are considered at every-iteration of the optimization process leads to a highly computational time-consuming optimization problem as the number of realizations increases. Hence, this study proposes a novel approach—a Retrospective Optimization Approximation (ROA) approach. In this approach, a simulation model was used to determine aquifer system responses (draw-downs) which were assembled as response matrices and incorporated in the optimization model (procedure) as coefficients in the constraints. The sample optimization sub-problems generated, were solved and analyzed through ROA-Active-Set procedure implemented under MATLAB code. The ROA-Active Set procedure solves and evaluates a sequence of sample path optimization sub-problems in an increasing number of realizations. The methodology was applied to a real-world conjunctive water use management problem found in Great Letaba River basin, South Africa. In the River basin, surface water source contributes 87% of the existing un-optimized total conjunctive water use withdrawal rate (6512.04 m3/day) and the remaining 13% is contributed by groundwater source. Through ROA approach, results indicate that the optimum percentages contribution of the surface and subsurface sources to the total water demand are 58% and 42% respectively. This implies that the existing percentage contribution can be increased or reduced by ±29% that is groundwater source can be increased by 29% while the surface water source contribution can be reduced by 29%. This reveals that the existing conjunctive water use practice is unsustainable wherein surface water system is overstressed while groundwater system is under-utilized. Through k-means sampling technique ROA-Active Set procedure was able to attain a converged maximum expected total optimum conjunctive water use withdrawal rate of 4.35 × 104 m3/day within a relatively few numbers of iterations (6 to 8 iterations) in about 2.30 Hrs. In conclusion, results demonstrated that ROA approach is capable of managing real-world regional aquifers sustainable conjunctive water use practice under hydro-geological uncertainty conditions.

Shifting balance from neurodegeneration to regeneration of the brain: a novel therapeutic approach to Alzheimer's disease and related neurodegenerative conditions

Neurodegeneration is one of the biggest public health problems in modern society. Age-associated neurodegeneration, which is accelerated several-fold in Alzheimer＇s disease （AD） alone, is not only an enormous social and economic burden to the affected in- dividuals and their families, but is also a great scientific challenge. Currently 25-35 million people worldwide suffer from AD, the single largest cause of dementia in middle- to old-aged individuals. These numbers are projected to triple by 2050 if no treatment to prevent or reverse AD is developed.

A novel machine learning approach(svm Somatic) to distinguish somatic and germline mutations using next-generation sequencing data

DEAR EDITOR,Somatic mutations are a large category of genetic variations,which play an essential role in tumorigenesis. Detection of somatic single nucleotide variants(SNVs) could facilitate downstream analysis of tumorigenesis. Many computational methods have been developed to detect SNVs, but most require normal matched samples to differentiate somatic SNVs from the normal state, which can be difficult to obtain.

Novel approach of LY12 alloy brazing

The LY12 Al alloy was brazed with the adoption of the improved KF CsF AlF 3 flux matching Ag Al Cu Zn filler metal. The shear strength of brazed joint could reach 80% of that of the substrate and the tensile strength of butt brazed joint will be 70% of that of the substrate. This was the great progress against the traditional claim that Al alloy reinforced by heat treatment could not be brazed. The experimental results and theoretical analysis had proved that it was the key issue to remove the MgO oxide film below 503 ℃ . The addition of rare earth La was the effective way to obtain better mechanical properties of the filler metal as well as brazed joints.

CRISPR-Cas13a system: a novel approach to precision oncology

A paper titled"The CRISPR-Cas13 a gene-editing system induces collateral cleavage of RNA in glioma cells",recently published in Advanced Science by the Kang group,reports the promising application of the CRISPR-Cas13 a system in cancer cells1.

A Novel Approach to Practical Matrix Converter Motor Drive System With Reverse Blocking IGBT (To continue)

a Pole voltage waveforms (VA20 and VA40) for modulation index 0.4 (middle trace is A-phase voltage waveform) x-axis: 1 div.=10ms, y-axis: 1 div.= 100V b Normalized harmonic spectrum for pole voltage of Fig. 9a c A-phase current and phase voltage for modulation index 0.4 (reference space vector is in inner layer)

A Novel Approach to Practical Matrix Converter Motor Drive System With Reverse Blocking IGBT

a Pole voltage waveforms (VA20 and VA40) for modulation index 0.4 (middle trace is A-phase voltage waveform) x-axis: 1 div.=10ms, y-axis: 1 div.= 100V b Normalized harmonic spectrum for pole voltage of Fig. 9a c A-phase current and phase voltage for modulation index 0.4 (reference space vector is in inner layer)

Current controversies and advances in the management of pancreatic adenocarcinoma

Pancreatic adenocarcinoma is a lethal disease with a mortality rate that has not significantly improved over decades.This is likely due to several challenges unique to pancreatic cancer.Most patients with pancreatic cancer are diagnosed at a late stage of disease due to the lack of specific symptoms prompting an early investigation.A small subset of patients who are diagnosed at an early stage have a better chance at survival with curative surgical resection,but most patients still succumb to the disease in a few years.The dismal overall prognosis is due to suspected micro-metastasis at an early stage.Due to this reason,there is a recent interest in treating all patients with pancreatic cancers with systemic therapy upfront(including the ones that are surgically resectable).This approach is still not the standard of care due to the lack of robust prospective data available.Recent advancements in treatment regimens of chemotherapy,radiation and immunotherapy have improved the overall short-term survival but the long-term survival still remains poor.Novel approaches in diagnosis and treatment have shown promise in clinical studies but long-term clinical data is lacking.The following manuscript presents an overview of the epidemiology,diagnosis,staging,recent advances,novel approaches and controversies in the management of pancreatic adenocarcinoma.

Recent insights into aquatic viruses: Emerging and reemerging pathogens, molecular features, biological effects, and novel investigative approaches

Aquatic viruses are naturally present in the aquatic environment and the number of viruses is staggering.Various multicellular organisms in aquatic ecosystems may be infected,cross-species transmitted,manipulated,and killed by aquatic viruses,which can lead to cascading ecological effects.The viruses in unicellular aquatic organisms can alter interactions between host individuals,and are essential in effecting or maintaining the dynamics of aquatic microbial communities,horizontal gene transfer,biodiversity,and modulating ecological processes globally.Meanwhile,hosts also impact viral abundance and diversity.Microbial diversity drives multifunctionality in ecosystems,while viruses shape complex microbial communities and are crucial for ecosystem functioning.This review focuses on molecular,genetic,evolutionary,and ecosystemic advances related to emerging and reemerging aquatic viruses,presents the contexts,novel tools,and investigative approaches pertaining to the study of aquatic virology,and discusses the mechanisms by which viruses affect aquatic ecosystems.The paper provides an efficient and broadly-based blueprint for improving understanding of aquatic viruses.

A Novel Approach for TNA Address Management

We present a new scheme to allocate/de-allocate Transport Network Assigned (TN A) address using Link Management Protocol (LMP) and to register/resolution these addresses using Lightweight Directory Access Protocol (LDAP) for Automatically Switched Optical Network (ASON).

A novel approach to identifying the ultrasonic echoes for inspecting well cementing quality

In this paper, it is presented that an approach based on Continuous Wavelet Thansform(CWT) and Fourier Transform(FT) for identifying ultrasonic echoes in inspecting oil well cementing quality. First, CWT is used to process echo signals. Then spectra of the processing results in some specilic scale-time segments are calculated as pattern features. The research results show that theoretical calculations basically agree with experimental results. Compared with the aPproach based on the spectra or Discrete Wavlet Transform, our approach has advantages of fine analyzing scales, stable features and high recognizing rate. It is very suitable to identify echo signals whose spectra vary with time.

A approach for generating high precision digitaltime-delay with low computational load

In this paper a novel method to generate high-precision and continuously adjustable digital time-delay by utilizing the linear phase of a FIR filter is presented. The generated time-delay can be continuously changed by adjusting the filter weights. The time-delay is pre cise and valid for wide-band, while the computational load is low. The proposed approach can find applications in wide-band digital beamforming, adaptive delay estimation, temporal analy sis of reflected waveform, etc.. In the paper, the basic principle, design steps and simulation re sults are given. Also shown are some typical practical applications.