Discussion on Role of Forest to Control Agricultural Non-Point Source Pollution in Taihu Lake Basin-Based on Source-Sink Analysis

Taihu Lake is located at the center of Changjiang delta region, the Lake and its effluent rivers are important water sources for 40 million around inhabitants and rapidly increasing industrial factories in Shanghai, Ji-angsu and Zhejiang. The pollutants originate mainly from acidy rain, home sewage of the vast number of inhabitants, livestock manure, agricultural fertilizers & pesticides applied over fields in the drainage basin, and the industrial sewage. Due to the kinds of pollutants, the Lake water is getting highly eutrophic, with frequent blooms of blue-green algae. Compared with point-source pollutants, diffuse pollution is much com-plicated and difficult to control. Thus combating non-point pollution (NPP) is paid much great attention. Based on analysis on source-sink of NPP in Taihu Lake basin, it is concluded that the function of forests on NPP control is multiple and important by both source reduction and sink expansion. The primary objective of planting trees through constructing forested wetlands and establishing riparian forest buffers is to control soil & water erosion, decrease agrochemicals application, and improve farming conditions in the region of Taihu Lake basin. Moreover forests help to intercept acidy rain, protect streambanks, uptake nutrients, hold up pollutants and provide habitat for wildlife.

Influence Maximization for Cascade Model with Diffusion Decay in Social Networks

Maximizing the spread of influence is to select a set of seeds with specified size to maximize the spread of influence under a certain diffusion model in a social network. In the actual spread process, the activated probability of node increases with its newly increasing activated neighbors, which also decreases with time. In this paper, we focus on the problem that selects k seeds based on the cascade model with diffusion decay to maximize the spread of influence in social networks. First, we extend the independent cascade model to incorporate the diffusion decay factor, called as the cascade model with diffusion decay and abbreviated as CMDD. Then, we discuss the objective function of maximizing the spread of influence under the CMDD, which is NP-hard. We further prove the monotonicity and submodularity of this objective function. Finally, we use the greedy algorithm to approximate the optimal result with the ration of 1 ? 1/e.

Diagnosis and treatment of inflammatory breast cancer

Inflammatory breast cancer(IBC)is a rare disease in clinic,with rapid progression and poor prognosis.It is easy to be misdiagnosed in cases of atypical clinical symptoms and imaging findings.Combined with the medical record of IBC in our hospital,the author explores the causes of misdiagnosis of inflammatory breast cancer,based on clinical manifestations,diagnosis,imaging examination,treatment and so on,so as to improve the clinical physicians understanding and diagnosis of this disease.

Analysis of diagnosis and treatment of heterotopic pancreas

A case of heterotopic pancreas in the Third Affiliated Hospital of Inner Mongolia Medical University was recorded and analyzed on the basis of diagnosis,physical examination and treatment.Misdiagnosis of gastrointestinal stromal tumor(GIST)is very common since it is a rare disease.So this paper aims to enhance the doctors’awareness of GIST during clinical practice.

JUNO sensitivity on proton decay p→νK^(+)searches

The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental physics.In this study,the potential of searching for proton decay in the p→νK^(+)mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification.Moreover,the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals.Based on these advantages,the detection efficiency for the proton decay via p→νK^(+)is 36.9%±4.9%with a background level of 0.2±0.05(syst)±0.2(stat)events after 10 years of data collection.The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 years,which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies.

虻粪二次堆肥生化特性的动态变化趋势及其微生物演替规律

【目的】通过培养试验动态观察了虻粪在后续二次堆肥过程中生化特性的动态变化趋势,研究了堆体微生物生态的动态演替规律,讨论了虻粪二次堆肥的稳定化机理。【方法】采取盛有虻粪的圆桶埋入大条垛发酵堆体的动态培养试验,在为期49 d的测试期内间隔7 d动态采样,采用16S rRNA高通量测序开展虻粪堆体样品的微生物多样性与群落结构分析以及代谢功能预测。【结果】虻粪堆体经历2周快速升温至68.7℃后,逐步降温至第49天的37.7℃,总有机碳、溶解性有机质(DOM)、pH分别达到67.3%、18.4g/kg、8.0。在堆体熟腐过程中,Shannon指数、Simpson指数和Chao1指数等微生物多样性水平均随堆肥进程而快速增加,而后缓慢下降至结束时的7.45、0.98和985。16SrRNA测序发现,Bacteroidetes (拟杆菌门)、Firmicutes (厚壁菌门)、Proteobacteria (变形菌门)与Actinobacteria (放线菌门)等是堆体微生物群落的主要菌群。与此同时,Corynebacteriaceae (棒状杆菌科)从初始的35.7%下降至结束时的6.5%,Flavobacteriaceae (黄杆菌科)则从3.22%逐步增长至12.6%,Porphyromonadaceae (单胞菌科)快速增加至11.5%之后缓慢下降至与初始水平相当的5.1%。PICRUSt预测发现,在整个虻粪堆肥过程中,氨基糖和核苷酸糖代谢、碳固定通路、甲烷代谢等功能平均相对丰度保持较强水平,且均在堆肥中期(第15–35天)出现峰值,后续均呈现下降态势。脂肪代谢、不饱和脂肪酸生物合成代谢、多环芳烃降解以及硫代谢等平均相对丰度较弱的代谢功能呈现先降后升的特征。【结论】虻粪二次堆肥过程中,物料含水量与DOM快速下降、有机质降解逐步完成以及物料微生物结构与功能趋于稳定等,堆制腐熟后的虻粪生化性质稳定,有利于虻粪有机肥农田再利用。

Preventive Control for Power System Transient Security Based on XGBoost and DCOPF with Consideration of Model Interpretability

This paper proposes a new approach for online power system transient security assessment(TSA)and preventive control based on XGBoost and DC optimal power flow(DCOPF).The novelty of this proposal is that it applies the XGBoost and data selection method based on the 1-norm distance in local feature importance evaluation which can provide a certain model interpretability.The method of SMOTE+ENN is adopted for data rebalancing.The contingency-oriented XGBoost model is trained with databases generated by time domain simulations to represent the transient security constraint in the DCOPF model,which has a relatively fast speed of calculation.The transient security constrained generation rescheduling is implemented with the differential evolution algorithm,which is utilized to optimize the rescheduled generation in the preventive control.Feasibility and effectiveness of the proposed approach are demonstrated on an IEEE 39-bus test system and a 500-bus operational model for South Carolina,USA.

Cortical Organization of Centrifugal Afferents to the Olfactory Bulb: Mono-and Trans-synaptic Tracing with Recombinant Neurotropic Viral Tracers

Sensory processing is strongly modulated by different brain and behavioral states,and this is based on the top-down modulation.In the olfactory system,local neural circuits in the olfactory bulb(OB)are innervated by centrifugal afferents in order to regulate the processing of olfactory information in the OB under different behavioral states.The purpose of the present study was to explore the organization of neural networks in olfactory-related cortices and modulatory nuclei that give rise to direct and indirect innervations to the glomerular layer(GL)of the OB at the whole-brain scale.Injection of different recombinant attenuated neurotropic viruses into the GL showed that it received direct inputs from each layer in the OB,centrifugal inputs from the ipsilateralanterior olfactory nucleus(AON),anterior piriform cortex(Pir),and horizontal limb of diagonal band of Broca(HDB),and various indirect inputs from bilateral cortical neurons in the AON,Pir,amygdala,entorhinal cortex,hippocampus,HDB,dorsal raphe,median raphe and locus coeruleus.These results provide a circuitry basis that will help further understand the mechanism by which olfactory informationprocessing in the OB is regulated.

Rabies Virus Pseudotyped with CVS-N2C Glycoprotein as a Powerful Tool for Retrograde Neuronal Network Tracing

Efficient viral vectors for mapping and manipulating long-projection neuronal circuits are crucial in structural and functional studies of the brain. The SAD strain rabies virus with the glycoprotein gene deleted pseudotyped with the N2 C glycoprotein(SAD-RV(DG)-N2 C(G)) shows strong neuro-tropism in cell culture, but its in vivo efficiency for retrograde gene transduction and neuro-tropism have not been systematically characterized.We compared these features in different mouse brain regions for SAD-RV-N2 C(G) and two other widely-used retrograde tracers, SAD-RV(DG)-B19(G) and r AAV2-retro. We found that SAD-RV(DG)-N2 C(G) enhanced the infection efficiency of long-projecting neurons by^10 times but with very similar neuro-tropism, compared with SAD-RV(DG)-B19(G). On the other hand, SAD-RV(DG)-N2 C(G) had an infection efficiency comparable with r AAV2-retro, but a more restricted diffusion range, and broader tropism to different types and regions of longprojecting neuronal populations. These results demonstrate that SAD-RV(DG)-N2 C(G) can serve as an effective retrograde vector for studying neuronal circuits.

Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO

The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment.

Recombination and mutation shape variations in the major histocompatibility complex

The major histocompatibility complex(MHC)is closely associated with numerous diseases,but its high degree of polymorphism complicates the discovery of disease-associated variants.In principle,recombination and de novo mutations are two critical factors responsible for MHC polymorphisms.However,direct evidence for this hypothesis is lacking.Here,we report the generation of fine-scale MHC recombination and de novo mutation maps of~5 Mb by deep sequencing(>100×)of the MHC genome for 17 MHC recombination and 30 non-recombination Han Chinese families(a total of 190 individuals).Recombination hotspots and Han-specific breakpoints are located in close proximity at haplotype block boundaries.The average MHC de novo mutation rate is higher than the genome-wide de novo mutation rate,particularly in MHC recombinant individuals.Notably,mutation and recombination generated polymorphisms are located within and outside linkage disequilibrium regions of the MHC,respectively,and evolution of the MHC locus was mainly controlled by positive selection.These findings provide insights on the evolutionary causes of the MHC diversity and may facilitate the identification of disease-associated genetic variants.

Sub-percent precision measurement of neutrino oscillation parameters with JUNO

JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the experiment.The sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite detector.It is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data collection.In the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering hypothesis.The new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.