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Ultimate Divine Doctor
He was not afraid of the Godly Doctor's medical skills, not afraid of the Godly Doctor's martial skills, only afraid of the Godly Doctor being black-hearted and lowly cute. He was also afraid of the Godly Doctor Chen Hui, who had walked out of the village.
Case Reports in Thoracic Oncology: 2022
This Research Topic aims to collect all the Case Reports submitted to the Thoracic Oncology section. All the Case Reports submitted to this collection will be personally assessed by a senior Associate Editor before the beginning of the peer-review process. Please make sure your article adheres to the following guidelines before submitting it. Case Reports highlight unique cases of patients that present with an unexpected diagnosis, treatment outcome, or clinical course. Only Case Reports that are original and significantly advance the field will be considered: 1) RARE case with TYPICAL features. 2) FREQUENT case with ATYPICAL features. 3) Cases with a convincing response to new treatments, i.e. single case of off-label use.
Web and Big Data
This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.
Safe Debt and Uncertainty in Emerging Markets
This paper develops a methodology for estimating a safe public debt level that would allow countries to remain below a maximum sustainable debt limit, taking into account the impact of uncertainty. Our analysis implies that fiscal policy should target a debt level well below the debt ceiling to allow space to absorb shocks that are likely to hit the economy. To illustrate our findings we apply the methodology to estimate a safe debt level for South Africa. Our results suggest that South Africa’s debt ceiling is around 60 percent of GDP, although uncertainty is high. Simulations suggest targeting a debt-to-GDP ratio of 40 percent of GDP would allow South Africa to remain below this debt ceiling over the medium-term with a high degree of confidence.
Fiscal Monitor, April 2020
Chapter 1 argues that fiscal policies are at the forefront of responding to the COVID-19 pandemic. Fiscal measures can save lives, protect the most-affected people and firms from the economic impact of the pandemic, and prevent the health crisis from turning into a deep long-lasting slump. A key priority is to fully accommodate spending on health and emergency services. Global coordination is for a universally low-cost vaccine and to support countries with limited health capacity. Large, temporary and targeted support is urgently needed for affected workers and firms until the emergency abates. As the shutdowns end, broad-based, coordinated fiscal stimulus—where financing conditions permit...
Deficits, Debt, and American Politics
"For most of the history of the United States, periods of growing indebtedness—a product of wars and economic crises—were followed by reductions in the debt-to-GDP ratio." But why have the last several decades failed to follow this pattern, leaving the national debt at its highest level since World War II? In this groundbreaking new book, author Marc Allen Eisner, who has devoted most of his scholarly career to studying the evolution of the US political economy, explores the significant changes in the fiscal conditions of the United States during the postwar period, embedding the discussion in a broader historical context. He demonstrates that the national debt is in part a product of re...
Optimal Fiscal Spending and Reserve Accumulation Policies under Volatile Aid
This paper assesses the optimal setting of fiscal spending and foreign exchange rate intervention policies in response to volatile foreign aid, in a small open economy model that incorporates typical features of low-income countries. Within a class of policy rules, it jointly considers the optimal aid spending and international reserve accumulation policies. The results show that it is optimal to adjust government spending gradually in response to unpredictable fluctuations in aid, while partially accumulating foreign exchange reserves to offset Dutch disease effects. Also, allocating relatively more of the government spending to productive public investment, and less to government consumption, is welfare improving.
The Return to Fiscal Rules
Governments face difficult policy trade-offs with record debt levels, tightening monetary policies, and urgent demands, including food and energy crises, the climate agenda, and population aging. Governments need to communicate fiscal plans to reduce debt sustainability risks and promote consistent macroeconomic policies. Many envisage a return to fiscal rules that had been suspended during the pandemic to strengthen credibility. This situation offers an opportunity to rethink fiscal rules and determine how governments can make fiscal policy more agile, including in responding to crises, without undermining fiscal sustainability. A risk-based medium-term fiscal framework that combines standards, rules, and strengthened institutions would strike a better balance between flexibility and credibility.
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...
Proceedings of 2017 Chinese Intelligent Automation Conference
The proceedings present selected research papers from the CIAC’17, held in Tianjin, China. The topics include adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, reconfigurable control, and etc. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent automation.
