A Sudden Turnaround: The Pro-Han Immigration Policy in Manchuria and Its Abrupt Abrogation in Early Qing Era

2021 ◽  
Vol 25 (2) ◽  
pp. 109-131
Author(s):  
Agostino Sepe
Keyword(s):  
Twentieth Century ◽  
Immigration Policy ◽  
Land Reclamation ◽  
The State ◽  
Chinese People ◽  
Short Term ◽  
Change Of Direction ◽  
To Come ◽  
Perfectly Normal

Abstract For most of Qing domination over China, the Manchu rulers strictly controlled or even prohibited migration of Chinese people to the dynasty’s Motherland (long xing zhi di 龍興之地). Only two brief phases are an exception, namely the mid Shunzhi to early Kangxi and Yongzheng periods. During the former, in 1653, a “Regulation for the repopulation and land reclamation of Liaodong” was promulgated, establishing alluring incentives for whoever managed to move a hundred or more people to the region east of the Liao river. Only fifteen years later, when the maneuver had just started to produce some results, the Qing court abolished it. In the long term, such a change of direction appears perfectly normal, considering that later on most of the lands would be assigned to the Eight Banners and the state would have striven to keep the Chinese out. Nevertheless, in the short term, the decision seemed to come out of the blue. An interesting debate on what might have determined the turnabout began in the early twentieth century, and some most recent contributions have been published in the 2000s; yet none of the thesis proposed so far is fully convincing. On the basis of sources that have not yet been taken into account, this paper further investigates into the matter and aims at demonstrating that the concerns which compelled the rulers to officially oppose immigration in the following decades already existed in the very first years of Kangxi reign.

scholarly journals Implikasi Penerapan Undang-Undang Nomor 11 Tahun 2016 Tentang Pengampunan Pajak (Tax Amnesty) Dalam Meningkatkan Kepatuhan Wajib Pajak

2017 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Agus Saiful Abib ◽  
Efi Yulistyowati ◽  
Amri Panahatan Sihotang
Keyword(s):  
Secondary Data ◽  
Fiscal Year ◽  
Tax Revenue ◽  
Short Term ◽  
Descriptive Research ◽  
Tax Amnesty ◽  
The Government ◽  
To Come ◽  
National Tax

<p>Tahun 2016, pemerintah mengeluarkan kembali kebijakan <em>Tax</em> <em>Amnesty </em>yang dituangkan dalam Undang-Undang Nomor 11 Tahun 2016 tentang Pengampunan Pajak. Pengampunan Pajak (<em>Tax</em> <em>Amnesty)</em> ini diharapkan dapat meningkatkan penerimaan pajak dalam jangka pendek melalui pembayaran uang tebusan, meningkatkan penerimaan pajak dalam jangka panjang melalui perluasan basis data pemajakan, meningkatkan kepatuhan Wajib Pajak, transisi ke sistem perpajakan baru yang lebih kuat dan adil, dan mendorong rekonsiliasi perpajakan nasional. Sehubungan dengan hal tersebut, untuk mengetahui apakah program <em>Tax</em> <em>Amnesty</em> Indonesia Tahun 2016 berhasil atau tidak, khususnya dalam meningkatkan kepatuhan wajib pajak, maka perlu dilakukan penelitian tentang : “Implikasi Penerapan Undang-Undang Nomor 11 Tahun 2016 tentang Pengampunan Pajak (<em>Tax</em> <em>Amnesty</em>) dalam Meningkatkan Kepatuhan Wajib Pajak”. Adapun permasalahan yang akan dibahas adalah bagaimana implikasi penerapan Undang-Undang Nomor 11 Tahun 2016 tentang Pengampunan Pajak<em> (Tax</em> <em>Amnesty)</em> dalam meningkatkan kepatuhan Wajib Pajak ? Berdasarkan implikasi tersebut, maka bagaimana sebaiknya pengaturan perpajakan yang akan datang ? Berdasarkan permasalahan tersebut jenis penelitian ini adalah yuridis normatif yang akan dikaji dengan pendekatan perundang-undangan, spesifikasi penelitiannya diskriptif analitis, data yang dipergunakan data sekunder, yang dianalisis secara kualitatif. Hasil penelitian menunjukkan bahwa implikasi penerapan Undang-Undang Nomor 11 Tahun 2016 tentang Pengampunan Pajak<em> (Tax</em> <em>Amnesty)</em> dapat meningkatkan kepatuhan Wajib Pajak, dan berdasarkan implikasi tersebut SE Dirjen Pajak No. SE - 06/PJ/2017 seharusnya tidak hanya untuk tahun pajak 2017 saja, tetapi juga untuk tahun-tahun yang akan datang. Di samping itu perlu ada peraturan yang mengatur tentang pengawasan terhadap pelaksanaan hak Wajib Pajak.</p><pre>In 2016, the government re-issue the Tax Amnesty policy as outlined in Law Number 11 Year 2016 on Tax Amnesty. The Tax Amnesty is expected to increase tax revenue in the short term through ransom payments, increase tax revenues over the long term through the expansion of taxation databases, increase taxpayer compliance, transition to a stronger and more just tax system, and encourage national tax reconciliation. In relation to this matter, to find out whether the program of Tax Amnesty Indonesia Year 2016 succeed or not, especially in increasing taxpayer compliance, it is necessary to do research on: "Implications Implementation of Law Number 11 Year 2016 on Tax Amnesty in Improving Taxpayer Compliance ". The problem to be discussed is how the implications of the implementation of Law Number 11 Year 2016 on Tax Amendment (Tax Amnesty) in improving taxpayer compliance? Based on these implications, then how should the taxation arrangements to come? Based on the problem, this type of research is normative juridical which will be studied with the approach of legislation, the analytical descriptive research specification, the data used secondary data, which analyzed qualitatively. The result of the research shows that the implication of the implementation of Law Number 11 Year 2016 on Tax Amnesty can improve Taxpayer compliance, and based on the implication of SE Dirjen Pajak No. SE - 06 / PJ / 2017 should not only be for the fiscal year 2017 alone, but also for the years to come. In addition, there should be a regulation that regulates the supervision of the implementation of taxpayers' rights.</pre>

scholarly journals Learning from Interventions Using Hierarchical Policies for Safe Learning

2020 ◽  
Vol 34 (06) ◽  
pp. 10352-10360
Author(s):  
Jing Bi ◽  
Vikas Dhiman ◽  
Tianyou Xiao ◽  
Chenliang Xu
Keyword(s):  
Reaction Time ◽  
State Of The Art ◽  
The State ◽  
Policy Framework ◽  
Asymptotic Performance ◽  
Short Term ◽  
Learning From Demonstrations ◽  
Hierarchical Levels ◽  
Long Term Behavior

Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well on multiple complex tasks. However, a limitation of the typical LfD approach is that it requires expert demonstrations for all scenarios, including those in which the algorithm is already well-trained. The recently proposed Learning from Interventions (LfI) overcomes this limitation by using an expert overseer. The expert overseer only intervenes when it suspects that an unsafe action is about to be taken. Although LfI significantly improves over LfD, the state-of-the-art LfI fails to account for delay caused by the expert's reaction time and only learns short-term behavior. We address these limitations by 1) interpolating the expert's interventions back in time, and 2) by splitting the policy into two hierarchical levels, one that generates sub-goals for the future and another that generates actions to reach those desired sub-goals. This sub-goal prediction forces the algorithm to learn long-term behavior while also being robust to the expert's reaction time. Our experiments show that LfI using sub-goals in a hierarchical policy framework trains faster and achieves better asymptotic performance than typical LfD.

scholarly journals Nemo-Nordic 1.0: A NEMO based ocean model for Baltic & North Seas, research and operational applications

2018 ◽  
Author(s):  
Robinson Hordoir ◽  
Lars Axell ◽  
Anders Höglund ◽  
Christian Dieterich ◽  
Filippa Fransner ◽  
...  
Keyword(s):  
Climate Change ◽  
Ocean Model ◽  
Anthropogenic Pressure ◽  
Short Term ◽  
To Come ◽  
Ocean Forecasting ◽  
The Baltic ◽  
Industrialised Countries ◽  
High Degree

Abstract. We present Nemo-Nordic, a Baltic &amp; North Sea model based on the NEMO ocean engine. Surrounded by highly industrialised countries, the Baltic and North seas, and their assets associated with shipping, fishing and tourism; are vulnerable to anthropogenic pressure and climate change. Ocean models providing reliable forecasts, and enabling climatic studies, are important tools for the shipping infrastructure and to get a better understanding of effects of climate change on the marine ecosystems. Nemo-Nordic is intended to come as a tool for both short term and long term simulations, and to be used for ocean forecasting as well as process and climatic studies. Here, the scientific and technical choices within Nemo-Nordic are introduced, and the reasons behind the design of the model and its domain, and the inclusions of the two seas, are explained. The model's ability to represent barotropic and baroclinic dynamics, as well as the vertical structure of the water column, is presented. Biases are shown and discussed. The short term capabilities of the model are presented, and especially its capabilities to represent sea level on an hourly timescale with a high degree of accuracy. We also show that the model can represent longer time scale, with a focus on the Major Baltic Inflows and the variability of deep water salinity in the Baltic Sea.

Homer: A relational mnemohistory

2018 ◽  
Vol 11 (3) ◽  
pp. 274-286 ◽  
Author(s):  
Astrid Erll
Keyword(s):  
Twentieth Century ◽  
Middle Ages ◽  
Twentieth Century Literature ◽  
Short Term ◽  
The West ◽  
Memory Culture ◽  
European Heritage ◽  
The World ◽  
Century Literature

This article proposes to extend the prevalent short-term and presentist frameworks of research on transcultural memory and to consider its dynamics across long-term relational mnemohistories. After more than two and a half millennia, “Homer” and the Homeric epics still resonate in memory cultures across the world. But they are often erroneously cast as “European heritage” or “foundations of the West.” This is the result of what I call a tenacious “Homeric genea-logic.” Highlighting three moments in the relational mnemohistory of Homer, this article shows, first, that already during their emergence in the archaic age, the Homeric epics were relational objects; second, how during the Middle Ages Homer could arrive in Petrarch’s Italy only as a product of relational remembering between the Roman and the Byzantine empires; and third, how twentieth-century literature (Joyce, Walcott) developed conscious modes of mnemonic relationality connecting diverse cultural memories. Relationality thus emerges as a key term for a reflexive memory culture today, a tool to overcome exclusive memory logics (“Homer as the heritage of Europe”) while enabling the articulation of meaningful long-term transcultural memories (“Homer as relational heritage in Europe”).

Leading Through Conflict With Credibility

2020 ◽  
Author(s):  
Thomas R. Hughes ◽  
Frank D. Davidson
Keyword(s):  
School Leaders ◽  
Educational Leaders ◽  
Organizational Capacity ◽  
Short Term ◽  
School Settings ◽  
Building Trust ◽  
Underlying Causes ◽  
To Come ◽  
Positive Climate

Even though conflict is increasingly finding its way into school settings, there is evidence that school leaders do not view themselves as being adequately equipped to meet the growing challenges. Training on short-term approaches to dealing with immediate issues may be available to practitioners through professional development offerings, but there is more involved in successfully and sustainably dealing with conflict than getting through a tense moment. School leaders need to be able to understand the causes and complexities—as well as navigate time elements—associated with ongoing conflict that can take place at the personal as well as organizational levels. Beyond understanding these concepts, administrators themselves need to increase the capacity of their staff and their organizations to assist in their development. In addition to learning how to recognize patterns and underlying causes advancing adversity, administrators would do well to invest in long-term conflict diminishing approaches such as building trust and improving interpersonal and organizational capacity as ways to increase credibility within and outside of the school itself. Finding people who can think critically and work adaptively to solve problems could prove to be a real advantage for educational leaders who strive to reduce the stress of the workplace and create a more collegial climate within the schools they serve. Building trust and the ability to “come through” capably for others even in tough situations increases the credibility of leaders. Leading through conflict with this credibility in turn helps to sustain a positive climate in schools.

scholarly journals Learning Robot Speech Models to Predict Speech Acts in HRI

2016 ◽  
Vol 9 (1) ◽  
pp. 295-306
Author(s):  
Ankuj Arora ◽  
Humbert Fiorino ◽  
Damien Pellier ◽  
Sylvie Pesty
Keyword(s):  
Speech Acts ◽  
Short Term Memory ◽  
The State ◽  
Short Term ◽  
Long Run ◽  
Action Sequences ◽  
Long Short Term Memory ◽  
Max Sat ◽  
Speech Model

Abstract In order to be acceptable and able to “camouflage” into their physio-social context in the long run, robots need to be not just functional, but autonomously psycho-affective as well. This motivates a long term necessity of introducing behavioral autonomy in robots, so they can autonomously communicate with humans without the need of “wizard” intervention. This paper proposes a technique to learn robot speech models from human-robot dialog exchanges. It views the entire exchange in the Automated Planning (AP) paradigm, representing the dialog sequences (speech acts) in the form of action sequences that modify the state of the world upon execution, gradually propelling the state to a desired goal. We then exploit intra-action and inter-action dependencies, encoding them in the form of constraints. We attempt to satisfy these constraints using aweighted maximum satisfiability model known as MAX-SAT, and convert the solution into a speech model. This model could have many uses, such as planning of fresh dialogs. In this study, the learnt model is used to predict speech acts in the dialog sequences using the sequence labeling (predicting future acts based on previously seen ones) capabilities of the LSTM (Long Short Term Memory) class of recurrent neural networks. Encouraging empirical results demonstrate the utility of this learnt model and its long term potential to facilitate autonomous behavioral planning of robots, an aspect to be explored in future works.

scholarly journals Casting Long-Term and Regenerative Perspectives on Global Sustainability through Systems and Resilience Thinking

2020 ◽  
Vol 12 (3) ◽  
pp. 1230
Author(s):  
Fabricio Casarejos
Keyword(s):  
Ecological Factors ◽  
Systems Dynamics ◽  
Dynamics Modeling ◽  
Short Term ◽  
Exponential Behavior ◽  
Global Sustainability ◽  
Resilience Thinking ◽  
Analysis And Synthesis ◽  
To Come

The main objective of this work is to foster long-term and regenerative perspectives on global sustainability. In pursuing this goal, this study encompasses a critical analysis and synthesis of insights from the fields of systems and resilience thinking, a conceptual framework for modeling and envisioning socio-ecological systems, and the proposition of the “flourishing within boundaries” archetype, which is conceived to provide meaningful insights regarding the essential conditions that would enable global society to flourish not just safely but also fairly. Through systems dynamics modeling, portrayed scenarios emphasize that the higher the regenerative societal change achieved, the greater the exponential behavior of the system’s speed towards promising socio-ecological outcomes. Especially for longer time horizons, the overall results reveal that the pace of the transitions associated with the societal action is inherently higher than those associated with the limiting social and ecological factors. Actions taken by individuals in the local realm and short-term time horizon may not only have immediate local effects but also a variety of innumerous ones that radiate out for years, decades, and even centuries to come. Finally, the pursuit of flourishing within boundaries relies on thinking rationally, globally, and above all, through a long-term and regenerative perspective.

Assessing the Political Environment for Business: A New Role for Political Scientists?

1982 ◽  
Vol 15 (02) ◽  
pp. 180-186 ◽  
Author(s):  
Joseph LaPalombara
Keyword(s):  
Risk Analysis ◽  
Multinational Corporations ◽  
Political Risk ◽  
Political Environment ◽  
Short Term ◽  
Corporate Managers ◽  
The Past ◽  
Future Events ◽  
To Come

Political scientists are only now, and dimly, beginning to recognize that something called “political risk analysis” (PRA) is very much in vogue in the corporate and banking communities of this country. Any attempt to assess this uncommon development should begin with this question: Why would any banker or corporate manager wish to spend hard cash on anything political scientists might have to say about places overseas where banks and multinational corporations lend or invest their capital? After all, the profession is not exactly distinguished by its ability to make accurate forecasts. Indeed, Sartori has argued that political scientists ought to eschew forecasting entirely in that they are best able to explain what happened as opposed to what may come to pass.Sartori's assertion of course would make historians of us all—and burden us with the historian's smug claim that, if the history examined is too recent, the immediacy of events will distort our vision and bias our judgments. Thus, rather than try to foretell where, say, Germany will move politically next year we should expend (more!) of our resources to establish once and for all what really caused Weimar to collapse and Hitler to come to power.This is not the stuff of political risk analysis. Growing interest in this activity is little based on broad analyses of the past or on long-term forecasts of future events. The potential consumers of political assessments are intelligent, harried bankers and corporate managers who are pressed to make relatively short-term decisions that affect the viability of enterprise and investment-and, equally important, careers-in professions where tenure is unknown.

How to Harmonize Government Goals of a State, a Company and an Individual

10.12737/4890 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 30-37
Author(s):  
Смирнов ◽  
E. Smirnov
Keyword(s):  
Economic Development ◽  
The State ◽  
Technological Capabilities ◽  
Short Term ◽  
New Criterion ◽  
A Company ◽  
Labor Outcomes

The issue of harmonization between the goals of the state, the company and an individual is considered. Main approaches designed to goals identification and formalization are examined. Major shortcomings of criteria, applied to define goals achieving and of techniques for calculating thereof are highlighted. The author proposes a new criterion to link the level of a company’s technological capabilities with workers’ labor outcomes, which, in turn, helps to harmonize long-term and short-term development of the state, a company and an individual. Using the proposed criterion, the author concludes, would facilitate a transfer to managed economic development.

Comparison of Short-Term and Long-Term Radiative Feedbacks and Variability in Twentieth-Century Global Climate Model Simulations

2013 ◽  
Vol 26 (24) ◽  
pp. 10051-10070 ◽  
Author(s):  
Meghan M. Dalton ◽  
Karen M. Shell
Keyword(s):  
Twentieth Century ◽  
Water Vapor ◽  
Climate Sensitivity ◽  
Surface Albedo ◽  
Global Climate ◽  
Global Climate Model ◽  
Atmospheric Temperature ◽  
Global Climate Models ◽  
Short Term

Abstract The climate sensitivity uncertainty of global climate models (GCMs) is partly due to the spread of individual feedbacks. One approach to constrain long-term climate sensitivity is to use the relatively short observational record, assuming there exists some relationship in feedbacks between short and long records. The present work tests this assumption by regressing short-term feedback metrics, characterized by the 20-yr feedback as well as interannual and intra-annual metrics, against long-term longwave water vapor, longwave atmospheric temperature, and shortwave surface albedo feedbacks calculated from 13 twentieth-century GCM simulations. Estimates of long-term feedbacks derived from reanalysis observations and statistically significant regressions are consistent with but no more constrained than earlier estimates. For the interannual metric, natural variability contributes to the feedback uncertainty, reducing the ability to estimate the interannual behavior from one 20-yr time slice. For both the interannual and intra-annual metrics, uncertainty in the intermodel relationships between 20-yr metrics and 100-yr feedbacks also contributes to the feedback uncertainty. Because of differences in time scales of feedback processes, relationships between the 20-yr interannual metric and 100-yr water vapor and atmospheric temperature feedbacks are significant for only one feedback calculation method. The intra-annual and surface albedo relationships show more complex behavior, though positive correspondence between Northern Hemisphere surface albedo intra-annual metrics and 100-yr feedbacks is consistent with previous studies. Many relationships between 20-yr metrics and 100-yr feedbacks are sensitive to the specific GCMs included, highlighting that care should be taken when inferring long-term feedbacks from short-term observations.

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