Detection methods for antibiotics in wastewater: a review.

Antibiotics are widely used as fungicides because of their antibacterial and bactericidal effects. However, it is necessary to control their dosage. If the amount of antbiotics is too much, it cannot be completely metabolized and absorbed, will pollute the environment, and have a great impact on human health. Many antibiotics usually left in factory or aquaculture wastewater pollute the environment, so it is vital to detect the content of antibiotics in wastewater. This article summarizes several common methods of antibiotic detection and pretreatment steps. The detection methods of antibiotics in wastewater mainly include immunoassay, instrumental analysis method, and sensor. Studies have shown that immunoassay can detect deficient concentrations of antibiotics, but it is affected by external factors leading to errors. The detection speed of the instrumental analysis method is fast, but the repeatability is poor, the price is high, and the operation is complicated. The sensor is a method that is currently increasingly studied, including electrochemical sensors, optical sensors, biosensors, photoelectrochemical sensors, and surface plasmon resonance sensors. It has the advantages of fast detection speed, high accuracy, and strong sensitivity. However, the reproducibility and stability of the sensor are poor. At present, there is no method that can comprehensively integrate the advantages. This paper aims to review the enrichment and detection methods of antibiotics in wastewater from 2020 to the present. It also aims to provide some ideas for future research directions in this field.

Water transfer infrastructure buffers water scarcity risks to supply chains.

Inter-basin water transfer (IBWT) infrastructure has been expanding to deliver water across China to meet water demands in populated and industrial areas. Water scarcity may threaten the ability to produce and distribute goods through supply chains. Yet, it is not clear if IBWTs transmit or buffer water scarcity throughout supply chains. Here we combine a national database of IBWT projects and multi-region input-output analysis to trace water transferred by IBWT and virtual scarce water (scarcity weighted water use) from IBWT sourcing basins to production sites then to end consumers. The results indicate that production and final consumption of sectoral products have been increasingly supported by IBWT infrastructure, with physically transferred water volumes doubling between 2007 and 2017. Virtual scarce water is about half of the virtual water supporting the supply chain of the nation. IBWT effectively reduced virtual scarce water supporting the supply chains of most provinces, with the exposure to water scarcity reduced by a maximum of 56.7% and 15.0% for production and final consumption, respectively. IBWT Infrastructure development can thus buffer water scarcity risk to the supply chain and should be considered in water management and sustainable development policy decisions.

Global pattern and drivers of water scarcity research: a combined bibliometric and geographic detector study.

Water scarcity, which refers to a deficit of freshwater resources availability in meeting anthropogenic and environmental water needs, is nowadays a growing concern in many countries around the world. Because water scarcity is often poor management induced, research is critical to advance knowledge and provide technical and policy support for water scarcity adaptation and solutions. Here, we address global water scarcity research pattern and underlying drivers, using the bibliometric analysis combined with geographic detector. The results indicate that water scarcity research exhibits great temporal and spatial variations. Predominant factors that control the numbers of water scarcity publications are gross domestic products (GDP) and population, which altogether explain 30-52% of the variance of the number of publications in different countries. Water scarcity research is biased in a few populated and affluent countries. Other factors, including physical water scarcity, research and development expenditure, and governance indicators can also be linked to water scarcity research. Keywords mining reveals that hotspots of research domains on causes, approaches, types, and effects of water scarcity show continental difference. The results have policy implications for guiding future water scarcity research. Research in developing countries suffering from physical and economic water scarcity should be enhanced to improve adaptive capacity and reduce vulnerability to water scarcity.

Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures.

Water scarcity has become a major threat to sustainable development under climate change. To reduce the population exposure to water scarcity and improve universal access to safe drinking water are important targets of the Sustainable Development Goal (SDG) 6 in the near future. This study aims to examine the potential of applying adaptive inner-basin water allocation measures (AIWAM), which were not explicitly considered in previous studies, for mitigating water scarcity in the future period (2020-2050). By incorporating AIWAM in water scarcity assessment, nonagricultural water uses are assumed to have high priority over agricultural water use and thus would receive more water supply. Results show that global water deficit is projected to be ~3241.9 km3/yr in 2050, and severe water scarcity is mainly found in arid and semi-arid regions, e.g. Western US, Northern China, and the Middle East. Future warming climate and socioeconomic development tend to aggravate global water scarcity, particularly in Northern Africa, Central Asia, and the Middle East. The application of AIWAM could significantly mitigate water scarcity for nonagricultural sectors by leading to a decrease of global population subject to water scarcity by 12% in 2050 when compared to that without AIWAM. However, this is at the cost of reducing water availability for agricultural sector in the upstream areas, resulting in an increase of global irrigated cropland exposed to water scarcity by 6%. Nevertheless, AIWAM provides a useful scenario that helps design strategies for reducing future population exposure to water scarcity, particularly in densely populated basins and regions. Our findings highlight increasing water use competition across sectors between upstream and downstream areas, and the results provide useful information to develop adaptation strategies towards sustainable water management.

Global Phosphorus Losses from Croplands under Future Precipitation Scenarios.

Phosphorus (P) losses from fertilized croplands to inland water bodies cause serious environmental problems. During wet years, high precipitation disproportionately contributes to P losses. We combine simulations of a gridded crop model and outputs from a number of hydrological and climate models to assess global impacts of changes in precipitation regimes on P losses during the 21st century. Under the baseline climate during 1991-2010, median P losses are 2.7 ± 0.5 kg P ha-1 year-1 over global croplands of four major crops, while during wet years, P losses are 3.6 ± 0.7 kg P ha-1 year-1. By the end of this century, P losses in wet years would reach 4.2 ± 1.0 (RCP2.6) and 4.7 ± 1.3 (RCP8.5) kg P ha-1 year-1 due to increases in high annual precipitation alone. The increases in P losses are the highest (up to 200%) in the arid regions of Middle East, Central Asia, and northern Africa. Consequently, in three quarters of the world's river basins, representing about 40% of total global runoff and home up to 7 billion people, P dilution capacity of freshwater could be exceeded due to P losses from croplands by the end of this century.

Reductions in Labor Capacity from Intensified Heat Stress in China under Future Climate Change.

Heat stress would be intensified under global warming and become a key issue of occupational health for labor force working outdoors. The changes in labor force would affect regional socioeconomic development. So far, changes in labor force due to heat stress are not well documented in China. In this study, heat stress based on wet-bulb globe temperature (WBGT), which combines the thermal effects on the human body of both temperature and humidity, is projected for the near future (2021-2050) and the end of the century (2071-2099). Changes in labor capacity are then estimated for heavy and light work based on the relationships between labor capacity and the WBGT. Low and high emission scenarios, namely Representative Concentration Pathway (RCP) 2.6 and RCP8.5, are considered for the future projections in the hottest two months (July and August) in China. Results suggest that the WBGT would increase by more than 3-5 °C by the end of the century. The labor capacity would decrease by more than 40% for both heavy and light work in considerable areas such as South and East China, where there is a large population and developed economy. This indicates that labor force would reduce significantly due to intensified heat stress. This study calls for special attention to the impact of heat stress on occupational health and the labor force in China in the future.

Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations.

Human impacts increasingly affect the global hydrological cycle and indeed dominate hydrological changes in some regions. Hydrologists have sought to identify the human-impact-induced hydrological variations via parameterizing anthropogenic water uses in global hydrological models (GHMs). The consequently increased model complexity is likely to introduce additional uncertainty among GHMs. Here, using four GHMs, between-model uncertainties are quantified in terms of the ratio of signal to noise (SNR) for average river flow during 1971-2000 simulated in two experiments, with representation of human impacts (VARSOC) and without (NOSOC). It is the first quantitative investigation of between-model uncertainty resulted from the inclusion of human impact parameterizations. Results show that the between-model uncertainties in terms of SNRs in the VARSOC annual flow are larger (about 2% for global and varied magnitude for different basins) than those in the NOSOC, which are particularly significant in most areas of Asia and northern areas to the Mediterranean Sea. The SNR differences are mostly negative (-20% to 5%, indicating higher uncertainty) for basin-averaged annual flow. The VARSOC high flow shows slightly lower uncertainties than NOSOC simulations, with SNR differences mostly ranging from -20% to 20%. The uncertainty differences between the two experiments are significantly related to the fraction of irrigation areas of basins. The large additional uncertainties in VARSOC simulations introduced by the inclusion of parameterizations of human impacts raise the urgent need of GHMs development regarding a better understanding of human impacts. Differences in the parameterizations of irrigation, reservoir regulation and water withdrawals are discussed towards potential directions of improvements for future GHM development. We also discuss the advantages of statistical approaches to reduce the between-model uncertainties, and the importance of calibration of GHMs for not only better performances of historical simulations but also more robust and confidential future projections of hydrological changes under a changing environment.

Staurosporine scaffold-based rational discovery of the wild-type sparing reversible inhibitors of EGFR T790M gatekeeper mutant in lung cancer with analog-sensitive kinase technology.

The human epidermal growth factor receptor (EGFR) has been established as an attractive target for lung cancer therapy. However, an acquired EGFR T790M gatekeeper mutation is frequently observed in patients treated with first-line anticancer agents such as gefitinib and erlotinib to cause drug resistance, largely limiting the application of small-molecule kinase inhibitors in EGFR-targeted chemotherapy. Previously, the reversible pan-kinase inhibitor staurosporine and its several analogs such as Gö6976 and K252a have been reported to selectively inhibit the EGFR T790M mutant (EGFRT790M ) over wild-type kinase (EGFRWT ), suggesting that the staurosporine scaffold is potentially to develop the wild-type sparing reversible inhibitors of EGFRT790M . Here, we systematically evaluated the inhibitor response of 28 staurosporine scaffold-based compounds to EGFR T790M mutation at structural, energetic, and molecular levels by using an integrated in silico-in vitro analog-sensitive (AS) kinase technology. With the strategy, we were able to identify 4 novel wild-type sparing inhibitors UCN-01, UCN-02, AFN941, and SB-218078 with high or moderate selectivity of 30-, 45-, 5-, and 8-fold for EGFRT790M over EGFRWT , respectively, which are comparable with or even better than that of the parent compound staurosporine (24-fold). Molecular modeling and structural analysis revealed that van der Waals contacts and hydrophobic forces can form between the side chain of mutated residue Met790 and the pyrrolidinone moiety of inhibitor ligand UCN-02, which may simultaneously improve the favorable interaction energy between the kinase and inhibitor, and reduce the unfavorable desolvation penalty upon the kinase-inhibitor binding. A hydroxyl group of UCN-02 additional to staurosporine locates at the pyrrolidinone moiety, which can largely alter the electronic distribution of pyrrolidinone moiety and thus promote the intermolecular interaction with Met790 residue. This can well explain the measured higher selectivity of UCN-02 than staurosporine for mutant over wild-type kinase.

Chemotherapy Drug Response to the L858R-induced Conformational Change of EGFR Activation Loop in Lung Cancer.

Oncogenic L858R mutation of human epidermal growth factor receptor (EGFR) confers constitutive activation to the kinase and is frequently observed in the pathological process of metastatic lung cancer. Selective inhibition of EGFRL858R mutant over wild-type EGFR (EGFRWT ) has been established as an attractive target for cancer chemotherapy. Here, we performed long-term molecular dynamics (MD) simulations to reconstruct the complete dynamics trajectory of L858R-induced conformational change in EGFR activation loop (A-loop). It was found that the mutation considerably destabilizes A-loop in Src-like inactive conformation and promotes the loop conversion to DFG-in active form. Electrostatic force is primarily responsible for the conversion and stabilization upon the mutation. Binding free energy analysis revealed that Gefitinib exhibits strong selectivity for mutant over wild-type kinases. The A-loop conformation, but not L858R mutation, directly determines inhibitor affinity; the mutation can indirectly influence inhibitor binding via regulation of A-loop conformation. Subsequently, chemical similarity searching was carried out with the structural sketch of Gefitinib against a large library of drug/lead-like compounds, from which two hits were identified to have high selectivity for EGFRL858R over EGFRW ; they can potently inhibit the kinase mutant with IC50 values at nanomolar level. The selectivity is primarily originated from hydrogen bond interactions of inhibitor ligands with mutant but not with wild type due to the A-loop conformational difference.

Risk and contributing factors of ecosystem shifts over naturally vegetated land under climate change in China.

Identifying the areas at risk of ecosystem transformation and the main contributing factors to the risk is essential to assist ecological adaptation to climate change. We assessed the risk of ecosystem shifts in China using the projections of four global gridded vegetation models (GGVMs) and an aggregate metric. The results show that half of naturally vegetated land surface could be under moderate or severe risk at the end of the 21(st) century under the middle and high emission scenarios. The areas with high risk are the Tibetan Plateau region and an area extended northeastward from the Tibetan Plateau to northeast China. With the three major factors considered, the change in carbon stocks is the main contributing factor to the high risk of ecosystem shifts. The change in carbon fluxes is another important contributing factor under the high emission scenario. The change in water fluxes is a less dominant factor except for the Tibetan Plateau region under the high emission scenario. Although there is considerable uncertainty in the risk assessment, the geographic patterns of the risk are generally consistent across different scenarios. The results could help develop regional strategies for ecosystem conservation to cope with climate change.

Robust optimization model and algorithm for railway freight center location problem in uncertain environment.

Railway freight center location problem is an important issue in railway freight transport programming. This paper focuses on the railway freight center location problem in uncertain environment. Seeing that the expected value model ignores the negative influence of disadvantageous scenarios, a robust optimization model was proposed. The robust optimization model takes expected cost and deviation value of the scenarios as the objective. A cloud adaptive clonal selection algorithm (C-ACSA) was presented. It combines adaptive clonal selection algorithm with Cloud Model which can improve the convergence rate. Design of the code and progress of the algorithm were proposed. Result of the example demonstrates the model and algorithm are effective. Compared with the expected value cases, the amount of disadvantageous scenarios in robust model reduces from 163 to 21, which prove the result of robust model is more reliable.

Spatiotemporal analysis of ground-based woody plant leafing in response to temperature in temperate eastern China.

The analysis of woody plant leafing in response to regional-scale temperature variation using ground-based phenology is usually limited by the sparse coverage and missing data of ground observation. In this study, a station-based multispecies method was proposed to generate spatiotemporal variation of woody plant leafing date using ground observations from the Chinese Phenological Observation Network during 1974-1996. The results show that the leafing date had slightly insignificant advance (-0.56 day decade(-1)), and the Arctic Oscillation (AO) index could explain 36% variance of the spring leafing date anomaly. The leafing date had been substantially delayed (4 days) when AO shifted from an extreme high index state (2) in 1989-1990 to a relatively low state (0.1) in 1991-1996. The canonical correlation analysis (CCA) was used to demonstrate the temporal evolutions and spatial structures of interannual variations of the spring temperature and leafing date anomalies. The three CCA spatial patterns of leafing date anomaly are similar to those of spring temperature anomaly. The first spatial pattern shows ubiquitous warming, which is consistent with the ubiquitous advance in leafing date across the study area. The second and third spatial patterns present the regional differences featured by advanced (delayed) leafing associated with high (low) temperature. The results suggest that the spring leafing date anomaly is spatiotemporally coherent with the regional-scale temperature variations. Although we focus here on woody plant leafing in a historical period in temperate eastern China, our station-based multispecies method may be applicable to analysis of the ground-based phenology in response to regional-scale climatic variation in other regions.

Multimodel assessment of water scarcity under climate change.

Water scarcity severely impairs food security and economic prosperity in many countries today. Expected future population changes will, in many countries as well as globally, increase the pressure on available water resources. On the supply side, renewable water resources will be affected by projected changes in precipitation patterns, temperature, and other climate variables. Here we use a large ensemble of global hydrological models (GHMs) forced by five global climate models and the latest greenhouse-gas concentration scenarios (Representative Concentration Pathways) to synthesize the current knowledge about climate change impacts on water resources. We show that climate change is likely to exacerbate regional and global water scarcity considerably. In particular, the ensemble average projects that a global warming of 2 °C above present (approximately 2.7 °C above preindustrial) will confront an additional approximate 15% of the global population with a severe decrease in water resources and will increase the number of people living under absolute water scarcity (<500 m(3) per capita per year) by another 40% (according to some models, more than 100%) compared with the effect of population growth alone. For some indicators of moderate impacts, the steepest increase is seen between the present day and 2 °C, whereas indicators of very severe impacts increase unabated beyond 2 °C. At the same time, the study highlights large uncertainties associated with these estimates, with both global climate models and GHMs contributing to the spread. GHM uncertainty is particularly dominant in many regions affected by declining water resources, suggesting a high potential for improved water resource projections through hydrological model development.

Therapeutic effect of minimally invasive decompression combined with impaction bone grafting on osteonecrosis of the femoral head.

The aim of this study was to observe the therapeutic effect of minimally invasive decompression combined with impaction bone grafting on osteonecrosis of the femoral head. A total of 67 patients underwent minimally invasive lightbulb decompression combined with impaction bone grafting. The therapeutic effect was evaluated according to Harris scores, and fluoroscopic and magnetic resolution imaging results at different time points. The Harris score was significantly increased after operation. The fineness rate was 85.4%. Postoperative disease progression was found in nine patients with the progression rate of 14.63%. The average necrotic area percentage was noticeably reduced 6 months, 1 year, and 2 years after operation. The one-year postoperative percentage showed a significant difference compared with the preoperative one. Minimally invasive lightbulb decompression combined with impaction bone grafting can achieve a satisfactory curative effect on ONFH. This method has the advantages of small trauma, thorough decompression, and good bone implantation.

Sequence analysis of the NSP2, ORF5, and ORF7 genes of 11 PRRS virus isolates from China.

During a tracing investigation of blue ear disease in China conducted from January to November 2008, 11 porcine reproductive and respiratory syndrome virus (PRRSV) isolates were collected from eight provinces including Liaoning, Jilin, Hebei, Shandong, Henan, Shanghai, Zhejiang, and Guangxi. The complete gene sequences of the NSP2, ORF5, and ORF7 genes from these 11 PRRSV isolates were amplified, cloned and detected by RT-PCR and then compared with the published sequences of other strains. The results showed that all of the isolates genotypically belonged to an American strain, but shared high homology with JXA1, the highly pathogenic strain endemic to China. All of the 11 PRRSV isolates demonstrated a 90-nucleotide deletion in the NSP2 gene, suggesting that the main epidemic of PRRSV in 2008 was due to this gene deletion isolate. More consistent mutations were found in specific regions of the ORF5 and ORF7 genes of the 11 PRRSV isolates, such as the signal peptide and transmembrane regions of GP5 and the Pat 7 motif of the N protein. Whether these mutations influence nuclear localization of PRRSV requires confirmation by future studies.

[Treatment of degenerative lumbar spondylolisthesis through posterolateral fusion and fixation with pedicle screws].

OBJECTIVE: To explore internal fixation whether can improve the clinical outcomes of decompression and posterolateral fusion in patients with degenerative lumbar spondylolisthesis. METHODS: From December 1998 to December 2005, 49 patients who had degenerative lumbar spondylolisthesis underwent decompression and posterolateral fusion without (group A, 21 cases) or with (group B, 28 cases) internal fixation (CD HORIZON M8 system). There were 12 males and 37 females with a mean age of 58.5 years (range, from 49 to 68 years). Among them,32 cases were grade I and 17 were grade II according to Meyerding grade system. All patients were followed up with an average of 58 months (range from 12 to 90 months). The pain of low back and leg (VAS scoring), spinal active function and neurologic function were evaluated according the assessment system of Yuan. RESULTS: The VAS score of low back in group A and B were respectively 41.9 +/- 7.5 and 32.8 +/- 6.2 at follow-up; and VAS score of leg in group A and B were respectively 33.9 +/- 7.3 and 30.8 +/- 6.2. Spinal active function of patients, 15 cases obtained improvement, 6 cases aggravation or no improvement in group A; 25 cases obtained improvement, 3 cases aggravation or no improvement in group B. Neurologic function of patients, 15 cases obtained improvement, 6 cases aggravation or no improvement in group A; 26 cases obtained improvement, 2 cases aggravation or no improvement in group B. The group B was better than group A in the aspect of low back pain, spine active function and neurologic function (P < 0.05). There was no statistically significant difference in improvement of leg pain between two groups (P > 0.05). CONCLUSION: Using internal fixation in decompression and posterolateral fusion for degenerative lumbar spondylolisthesis can improve low back pain and clinical function. Decompression is necessary for the surgical treatment of degenerative spondylolisthesis, which is major effect on the improvement of leg pain.

Development of reverse-transcription loop-mediated isothermal amplification for the detection of infectious bursal disease virus.

To establish a reverse-transcription loop-mediated isothermal amplification (RT-LAMP) method for rapid detection of infectious bursal disease virus (IBDV), four primers specific to six regions of the VP3 gene were designed; the VP3 region was selected because it is a conserved part of the IBDV genome. After amplification in an isothermal water bath for 70 min, samples containing IBDV generated the expected ladder-like products while other viruses generated no product. The sensitivity and specificity of the RT-LAMP assay were evaluated by comparison with reverse-transcription polymerase chain reaction (RT-PCR) and virus isolation. The assay was significantly more sensitive than normal gel-based RT-PCR. Because it is specific and simple, the RT-LAMP assay can be widely applied in clinical laboratories for rapid detection of IBVD.