97 research outputs found

    Influenza A virus-host protein interactions control viral pathogenesis

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    The influenza A virus (IAV), a member of the Orthomyxoviridae family, is a highly transmissible respiratory pathogen and represents a continued threat to global health with considerable economic and social impact. IAV is a zoonotic virus that comprises a plethora of strains with different pathogenic profiles. The different outcomes of viral pathogenesis are dependent on the engagement between the virus and the host cellular protein interaction network. The interactions may facilitate virus hijacking of host molecular machinery to fulfill the viral life cycle or trigger host immune defense to eliminate the virus. In recent years, much effort has been made to discover the virus-host protein interactions and understand the underlying mechanisms. In this paper, we review the recent advances in our understanding of IAV-host interactions and how these interactions contribute to host defense and viral pathogenesis.Peer reviewedPhysiological Science

    Variations in the East Asian summer monsoon over the past 1 millennium and their links to the Tropic Pacific and North 2 Atlantic oceans

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    Variations of East Asian summer monsoon (EASM) during the last millennium could help enlighten the monsoonal response to future global warming. Here we present a precisely dated and highly resolved stalagmite δ18O record from the Yongxing Cave, central China. Our new record, combined with a previously published one from the same cave, indicates that the EASM has changed dramatically in association with the global temperature rising. In particular, our record shows that the EASM has intensified during the Medieval Climate Anomaly (MCA) and the Current Warm Period (CWP) but weakened during the Little Ice Age (LIA). We find that the EASM intensity is similar during the MCA and CWP periods in both northern and central China, but relatively stronger during the CWP in southern China. This discrepancy indicates a complicated regional response of the EASM to the anthropogenic forcing. The intensified and weakened EASM during the MCA and LIA matches well with the warm and cold phases of Northern Hemisphere surface air temperature, respectively. This EASM pattern also corresponds well with the rainfall over the tropical Indo-Pacific warm pool. Surprisingly, our record shows a strong association with the North Atlantic climate as well. The intensified (weakened) EASM correlates well with positive (negative) phases of North Atlantic Oscillation. In addition, our record links well with the strong (weak) Atlantic meridional overturning circulation during the MCA (LIA) period. All above-mentioned correlations indicate that the EASM tightly couples with oceanic processes in the tropical Pacific and North Atlantic oceans during the MCA and LIA

    Estimation of mechanics parameters of rock in consideration of confining pressure using monitoring while drilling data

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    During the drilling process, high-strength rock can lead to various issues such as drilling suppression, bit wear, and increased operational costs. To ensure safe and efficient drilling operations, it is crucial to accurately predict the strength parameters of the rock and recommend modifications to operational procedures. This paper proposes a low-cost and fast measurement method for predicting the strength parameters of rock in the field. To evaluate the effectiveness of this method, a drilling process monitoring experiment was conducted on sandstone, limestone, and granite. The experiment studied the effect of confining pressure on the response of cutting with an impregnated diamond bit. By analyzing the relationship between the thrust force, torque force, and penetration depth under different confining pressures, the researchers developed an analytical model for drilling that considers confining pressure, compressed crushed zone, and bit geometry. The results show that the confining pressure has a significant effect on the cutting response. As the confining pressure increases, the thrust force, torque force, and penetration depth at the cutting point also increase. Furthermore, a new measurement method was proposed to determine the strength parameters, such as cohesion, internal friction angle, and unconfined compressive strength. The estimated strength parameters for the three rock types using the drilling method were in good agreement with those of the standard laboratory test, with an error range of 10%. This method of estimating rock strength parameters is a practical tool for engineers. It can continuously and quickly obtain the drilling parameters of in-situ rocks

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Methylprednisolone as Adjunct to Endovascular Thrombectomy for Large-Vessel Occlusion Stroke

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    Importance It is uncertain whether intravenous methylprednisolone improves outcomes for patients with acute ischemic stroke due to large-vessel occlusion (LVO) undergoing endovascular thrombectomy. Objective To assess the efficacy and adverse events of adjunctive intravenous low-dose methylprednisolone to endovascular thrombectomy for acute ischemic stroke secondary to LVO. Design, Setting, and Participants This investigator-initiated, randomized, double-blind, placebo-controlled trial was implemented at 82 hospitals in China, enrolling 1680 patients with stroke and proximal intracranial LVO presenting within 24 hours of time last known to be well. Recruitment took place between February 9, 2022, and June 30, 2023, with a final follow-up on September 30, 2023.InterventionsEligible patients were randomly assigned to intravenous methylprednisolone (n = 839) at 2 mg/kg/d or placebo (n = 841) for 3 days adjunctive to endovascular thrombectomy. Main Outcomes and Measures The primary efficacy outcome was disability level at 90 days as measured by the overall distribution of the modified Rankin Scale scores (range, 0 [no symptoms] to 6 [death]). The primary safety outcomes included mortality at 90 days and the incidence of symptomatic intracranial hemorrhage within 48 hours. Results Among 1680 patients randomized (median age, 69 years; 727 female [43.3%]), 1673 (99.6%) completed the trial. The median 90-day modified Rankin Scale score was 3 (IQR, 1-5) in the methylprednisolone group vs 3 (IQR, 1-6) in the placebo group (adjusted generalized odds ratio for a lower level of disability, 1.10 [95% CI, 0.96-1.25]; P = .17). In the methylprednisolone group, there was a lower mortality rate (23.2% vs 28.5%; adjusted risk ratio, 0.84 [95% CI, 0.71-0.98]; P = .03) and a lower rate of symptomatic intracranial hemorrhage (8.6% vs 11.7%; adjusted risk ratio, 0.74 [95% CI, 0.55-0.99]; P = .04) compared with placebo. Conclusions and Relevance Among patients with acute ischemic stroke due to LVO undergoing endovascular thrombectomy, adjunctive methylprednisolone added to endovascular thrombectomy did not significantly improve the degree of overall disability.Trial RegistrationChiCTR.org.cn Identifier: ChiCTR210005172

    Production-inventory-distribution coordination and performance optimization for integrated multi-stage supply chains

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    The objective of this dissertation is to study the production-inventory-distribution coordination and performance optimization problems for integrated multi-stage supply chains by adopting the coordination mechanism and framework, primarily the joint consideration of inventory replenishment and the Supply Chain Operations Reference (SCOR) model. The supply chains under study include raw materials, production, transportation and distribution. There are four stages in the supply chain process: the raw material warehouse, the manufacturing/production plant, the finished product warehouse and the distribution centre/retailer. To support coordination among the supply chain parties, both the joint consideration of inventory replenishment and an SCOR model are adopted as the coordination mechanism and the framework of the research. The scope of the work is to study three distinct but inseparable problems by using rigorous analytical approaches: an integrated multi-stage supply chain with constant demand, a SCOR-based analytical coordination model for an integrated supply chain with constant demand and an integrated multi-stage supply chain with time-varying demand. The fundamental goal of this research is to study the effects of minimizing the total operational cost of multi-stage supply chains by adopting different coordination mechanisms and frameworks. The first part of the study considers an integrated production-inventory-distribution planning problem that is faced by a multinational corporation (MNC) that manages a multi-stage supply chain over an infinite time horizon. Based on the supply chain management practices of this company, the joint consideration of inventory replenishment is adopted as the coordination mechanism at the tactical and operational levels. We devise an optimal integer-ratio coordination policy for inventory replenishment across its supply chain. Under the proposed optimal integer-ratio inventory coordination policy, the total operational cost of the supply chain is demonstrated to reach its global minimum after the integrality constraints are relaxed. Numerical examples are presented with a sensitivity analysis. The computational results demonstrate that the difference in the optimal total operational costs between integer and real-number solutions is not significant. In the second part of the research, both the joint consideration of inventory replenishment and an SCOR model are adopted as the coordination mechanism and the framework in an integrated supply chain with constant demand. In the existing literature, it remains a challenge to quantify the coordination effects on supply chain performance after the implementation of such models as Collaborative Planning, Forecasting, Replenishment and SCOR. An analytical coordination model for a supply chain of an MNC is presented. To improve supply chain performance, we study the coordination among the supply chain parties from the strategic to the operational levels. Supply chain management cost which is one of level 1 metrics from the SCOR model is selected to support the MNC to select and refine the SCM strategies. An optimal integer-ratio inventory coordination policy is devised to coordinate the inventory replenishment at the tactical and operational levels. By combining the SCOR model and the integer-ratio inventory coordination policy, a systematic approach is proposed. We focus on the derivation and analysis of the total operational cost of the supply chain based on cost performance metrics across three levels of the SCOR model version 10. The total operational cost is demonstrated to reach its global minimum after the integer constraint is relaxed. The findings reinforce the proposition that the adoption of an analytical coordination model based on the metrics of the SCOR model is promising in terms of its capacity to assist decision makers in improving supply chain performance. Numerical experiments are conducted to demonstrate how to compute the optimal total operational cost in practice. The computational results demonstrate that the total operational cost savings through the SCOR-based analytical coordination model are significant. By extending the results from constant and continuous demand, an integrated multi-stage supply chain with time-varying demand over a finite planning horizon is considered in the last part of the study. With the joint consideration of inventory replenishment coordination mechanism, an optimal production-inventory-distribution policy is devised to minimize the total operational cost. The model is formulated as a mixed-integer nonlinear programming optimization problem. The problem is represented as a weighted directed acyclic graph. The global minimum total operational cost is computed in polynomial time by the developed algorithm. Two numerical examples of a seasonal product and a product over its life cycle are studied to illustrate the results. A sensitivity analysis of the system parameters is conducted to help elucidate the supply chain decision making process.DOCTOR OF PHILOSOPHY (MAE
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