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Ecological restoration projects (ERPs) are implemented worldwide to restore degraded ecosystems and promote ecosystem sustainability. In recent years, a series of ERPs have been implemented to enhance vegetation cover in the unique alpine ecosystems of the Qinghai-Tibet Plateau (QTP). However, the current assessment of the ecological benefits of ERPs is relatively single, and the scale and extent of future ecological restoration project implementation cannot be determined. We quantified trends in normalized vegetation index (NDVI) since the implementation of ERPs. Changes in four major ecosystem services were assessed before and after ERPs implementation, including wind erosion protection, soil retention, water yield, and net primary productivity (NPP). The relationship between NDVI and ecosystem services was further explored using a constraint line approach to identify NDVI as a threshold reference for ERPs implementation. The results showed that: (1) since the implementation of ERPs, 21.80% of the regional NDVI of the QTP has increased significantly. (2) After the implementation of ERPs, the average total ecosystem services index (TES) increased from 0.269 in 2000 to 0.285 in 2020. The average soil retention and water yield increased but the NPP and sandstorm prevention decreased slightly. (3) NDVI had no significant constraint effect on soil retention and NPP, but there was a significant constraint effect on wind erosion prevention and water yield. (4) The constraint line of NDVI on TES was S-shaped. After the implementation of ERPs, the TES gradually reached a threshold value when NDVI was 0.65-0.75. Our findings identify significant contributions of ERPs and thresholds for the constraining effects of vegetation cover on ecosystem services, which can inform sustainable ERPs for governments., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Measuring the time/frequency dependence of diffusion MRI is a promising approach to distinguish between the effects of different tissue microenvironments, such as membrane restriction, tissue heterogeneity, and compartmental water exchange. In this study, we measure the frequency dependence of diffusivity (D) and kurtosis (K) with oscillating gradient diffusion encoding waveforms and a diffusion kurtosis imaging (DKI) model in human brains using a high-performance, head-only MAGNUS gradient system, with a combination of b-values, oscillating frequencies (f), and echo time that has not been achieved in human studies before. Frequency dependence of diffusivity and kurtosis are observed in both global and local white matter (WM) and gray matter (GM) regions and characterized with a power-law model ∼Λ*f θ . The frequency dependences of diffusivity and kurtosis (including changes between f min and f max , Λ, and θ) vary over different WM and GM regions, indicating potential microstructural differences between regions. A trend of decreasing kurtosis over frequency in the short-time limit is successfully captured for in vivo human brains. The effects of gradient nonlinearity (GNL) on frequency-dependent diffusivity and kurtosis measurements are investigated and corrected. Our results show that the GNL has prominent scaling effects on the measured diffusivity values (3.5∼5.5% difference in the global WM and 6∼8% difference in the global cortex) and subsequently affects the corresponding power-law parameters (Λ, θ) while having a marginal influence on the measured kurtosis values (<0.05% difference) and power-law parameters (Λ, θ). This study expands previous OGSE studies and further demonstrates the translatability of frequency-dependent diffusivity and kurtosis measurements to human brains, which may provide new opportunities to probe human brain microstructure in health and disease., Competing Interests: Declaration of Competing Interest A.Z., E.F., and T.F. are employees of GE Research. J.M. receives research funding from GE Healthcare. No interest conflicts for E.D., G.Y., K.Q., or E.T., (Copyright © 2023. Published by Elsevier Inc.)

Mycobacterium tuberculosis (MTB) is a severe causing agent of tuberculosis (TB). Although H37Rv, the type strain of M. tuberculosis was sequenced in 1998, annotation errors of encoding genes have been frequently reported in hundreds of papers. This phenomenon is particularly severe at the 5' end of the genes. Here, we applied a TMPP [(N-Succinimidyloxycarbonylmethyl) tris (2,4,6-trimethoxyphenyl) phosphonium bromide] labeling combined with StageTip separating strategy on M. tuberculosis H37Rv to characterize the N-terminal start sites of its annotated encoding genes. Totally, 1047 proteins were identified with 2058 TMPP labeled N-terminal peptides from all the 2625 mass spectrometer (MS) sequenced proteins. Comparative genomics analysis allowed the re-annotation of 43 proteins' N-termini in H37Rv and 762 proteins in Mycobacteriaceae. All revised N-termini start sites were distributed in 5'-UTR of annotated genes due to over-annotation of previous N-terminal initiation codon, especially the ATG. In addition, we identified and verified a novel gene Rv1078A in +3 frame different from the annotated gene Rv1078 in +2 frame. Altogether, our findings contribute to the better understanding of N-terminal of H37Rv and other species from Mycobacteriaceae that can assist future studies on biological study., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

High-resolution diffusion MRI (dMRI) is a crucial tool in neuroscience studies to detect fine fiber structure, depict complex fiber architecture and analyze cortical anisotropy. However, high-resolution dMRI is limited by its intrinsically low SNR due to diffusion attenuation. A series of techniques have been proposed to improve the SNR performance, but most of them are at the cost of long scan time, which in turn sacrifice the SNR efficiency, especially for large FOV imaging, such as whole-brain imaging. Recently, a combination of 3D multi-slab acquisition and simultaneous multi-slice (SMS) excitation, namely simultaneous multi-slab (SMSlab), has been demonstrated to have potential for high-resolution diffusion imaging with high SNR and SNR efficiency. In our previous work, we have proposed a 3D Fourier encoding and reconstruction framework for SMSlab acquisition. In this study, we extend this 3D k-space framework to diffusion imaging, by developing a novel navigator acquisition strategy and exploring a k-space-based phase correction method. In vivo brain data are acquired using the proposed SMSlab method and compared with a series of different acquisitions, including the traditional 3D multi-slab, 2D SMS and 2D single-shot EPI (ss-EPI) acquisitions. The results demonstrate that SMSlab has a better SNR performance compared with 3D multi-slab and 2D SMS. The detection capacity of fine fiber structures is improved using SMSlab, compared with the low-resolution diffusion imaging using conventional 2D ss-EPI., (Copyright © 2021. Published by Elsevier Inc.)

Loading of noble metal nanoparticles (NPs) on the surfaces of semiconductor oxides to form a hybrid nanostructure is an effective strategy to improve gas-sensing performance. In this study, WO 3 nanoplatelets decorated with Au NPs were prepared by laser ablation in liquids (LAL) with subsequent aging and annealing treatments. Results indicated that Au NPs with an average size of 7.8 ± 2.5 nm were highly dispersed on the surface of WO 3 nanoplatelets. As gas-sensing materials, the obtained Au-decorated WO 3 nanoplatelets showed lower operating temperature of 320 °C and higher response value of 3.5-fold in detecting ethanol molecules compared with pure WO 3 nanoplatelets. Moreover, Au-decorated WO 3 nanoplatelets displayed good selectivity toward ethanol compared with other tested vapors and excellent stability within several cycled measurements. These results can be ascribed to the supported Au NPs, which promote the adsorption and dissociation of oxygen species, eventually resulting in accelerated electron depletion on the surface of Au-WO 3 hybrids., (Copyright © 2017 Elsevier Inc. All rights reserved.)

In multi-shot diffusion imaging, motion induced phase variations are traditionally seen as a source of artifacts and corrected in the image domain using SENSE-based methods. This correction usually requires image echo and navigator echo to be geometrically matched. Recently, a k-space based method, realigned GRAPPA, has been proposed. It realigns data from different shots into the same k-space locations, and then synthesizes the missing data using GRAPPA algorithm. In this study, we refined the theory for GRAPPA-based method. In the revised theory, phase variations are treated as a kind of encoding, similar to coil sensitivity encoding. Based on this, the missing data can be synthesized using k-space correlations among different shots and channels. Then a compact kernel is used which only includes acquired data with significant contribution for the data synthesis, and can generate accurate weights without strict navigator size requirements. Simulation studies as well as brain and cervical spine experiments demonstrate that the proposed reconstruction method can effectively suppress artifacts caused by phase variations, and provide diffusion images with high resolution and low distortion. Compared with SENSE-based methods, the proposed method is less sensitive to mismatch between image echo and navigator echo., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Over the past 19 years, we have developed a novel myxoma virus-derived anti-inflammatory serine protease inhibitor, termed a serpin, as a new class of immunomodulatory therapeutic. This review will describe the initial identification of viral serpins with anti-inflammatory potential, beginning with preclinical analysis of viral pathogenesis and proceeding to cell and molecular target analyses, and successful clinical trial. The central aim of this review is to describe the development of two serpins, Serp-1 and Serp-2, as a new class of immune modulating drug, from inception to implementation. We begin with an overview of the approaches used for successful mining of the virus for potential serpin immunomodulators in viruses. We then provide a methodological overview of one inflammatory animal model used to test for serpin anti-inflammatory activity followed by methods used to identify cells in the inflammatory response system targeted by these serpins and molecular responses to serpin treatment. Finally, we provide an overview of our findings from a recent, successful clinical trial of the secreted myxomaviral serpin, Serp-1, in patients with unstable inflammatory coronary arterial disease., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Chemokines are important for activation of a host of cellular immune and inflammatory responses including cell signaling, activation, and communication. M-T7, a myxoma virus protein, inhibits the activity of chemokines by direct binding to chemokines and/or with glycosaminoglycans (GAGs). To study the effects of this chemokine-modulating protein (CMP), we use a variety of in vitro and in vivo techniques to evaluate M-T7 inhibition of inflammatory cells. To quickly analyze the effects of M-T7, changes in cell adhesion and membrane fluidity are measured as well as cell migration in mouse ascites. For more physiological analyses, an aortic transplant model in rodents is used to assess change in inflammatory cell infiltrates and vascular plaque growth (rejection). Utilization of the combination of these in vitro and in vivo techniques allows for a more complete study of the chemokine-modulating activity of M-T7, and can be used to study other immune and inflammation-modulating proteins.

Oligonuleotides (oligo) microarray is a promising method for virus genotyping. In this study, we developed an oligo microarray used for genotyping hepatitis B virus (HBV). It consists of 15 probes targeting HBV genotypes A-G and two genotypes of apes, and one conserved probe selected from the HBV pre-S region. To test a clinical sample, the gene targets of clinical samples were amplified and labelled with Cy5-dCTP in a PCR reaction using primers covering the flanking region of the HBV pre-S gene. Following purification, the labelled PCR products were hybridized to the microarray. In an analysis of 96 HBV patients' serum samples using our developed microarray, we identified 34 genotype B, 60 genotype C and 2 genotypes B/C coinfection samples. Sequencing results of 24 randomly selected samples agreed 100% with microarray data. Geographic distribution of genotypes C and B was also divergent, 95.7% (44/46) of genotype C and 64.0% (32/50) of genotype B samples were collected from Northern and Southern China, respectively. The accuracy of genotyping was confirmed by analyzing DNA sequences of 24 samples. It is demonstrated that low-density oligo microarray can serve as a reliable and time-saving method to HBV genotyping from patient's sera.