scholarly journals The colonial origins of ethnic warfare: Re-examining the impact of communalizing colonial policies in the British and French Empires

2021 ◽  
pp. 002071522110237
Author(s):  
Matthew Lange ◽  
Tay Jeong ◽  
Emre Amasyali
Keyword(s):  
Civil War ◽  
Ethnic Conflict ◽  
Small Samples ◽  
Ideal Types ◽  
French Colonies ◽  
Quantitative Analyses ◽  
Independent Variable ◽  
Colonial Policies ◽  
The Impact ◽  
Civil War Onset

Communalizing colonial policies (CCPs) include a variety of practices that recognize and institutionalize communal difference among colonized populations, and several qualitative analyses find that they promoted postcolonial ethnic conflict. In contrast, the few quantitative analyses that explore this issue focus on several mechanisms, make conflicting claims, and provide mixed results, thereby suggesting that CCPs do not have general effects. Yet the quantitative findings might be inaccurate for several reasons: Some use the identity of the colonizer as a proxy for CCPs, others measure a CCP but have small samples with limited variation in the focal independent variable, and all of these analyses are unable to explore whether CCPs affect ethnic conflict through different and competing mechanisms. To address these limitations, we create four ideal types of CCPs, gather data on a CCP that conforms to each ideal type, and test the relationships between CCPs and ethnic civil warfare onset using the set of former British and French colonies. We find that a discriminatory CCP is associated with high odds of ethnic civil war onset, especially shortly after independence. Alternatively, differentiating and accommodating CCPs lack general relationships with ethnic civil war onset, and an empowering CCP is negatively related to ethnic warfare in most models.

Ethnic Minority Rule and Civil War Onset How Identity Salience, Fiscal Policy, and Natural Resource Profiles Moderate Outcomes

2011 ◽  
Vol 28 (5) ◽  
pp. 438-458 ◽  
Author(s):  
Dan Miodownik ◽  
Ravi Bhavnani
Keyword(s):  
Civil War ◽  
Fiscal Policy ◽  
Ethnic Minority ◽  
Data Availability ◽  
Computational Framework ◽  
Agent Based ◽  
Moderating Variables ◽  
Lootable Resources ◽  
The Impact ◽  
Civil War Onset

Using an agent-based computational framework designed to explore the incidence of conflict between two nominally rival ethnic groups, we demonstrate that the impact of ethnic minority rule on civil war onset could be more nuanced than posited in the literature. By testing the effects of three key moderating variables on ethnic minority rule, our analysis demonstrates that: (i) when ethnicity is assumed to be salient for all individuals, conflict onset increases with size of the minority in power, although when salience is permitted to vary, onset decreases as minority and majority approach parity; (ii) fiscal policy—the spending and investment decisions of the minority EGIP—moderates conflict; conflict decreases when leaders make sound decisions, increases under corrupt regimes, and peaks under ethno-nationalist regimes that place a premium on territorial conquest; and lastly (iii) natural resources—their type and distribution—affect the level of conflict which is lowest in agrarian economies, higher in the presence of lootable resources, and still higher when lootable resource are “diffuse”. Our analysis generates a set of propositions to be tested empirically, subject to data availability.

تأثير الاستثمار الاجنبي المباشر في القيمة السوقية للشركة (دراسة تطبيقية في شركة بترو جانيا الصينية في عقود التراخيص النفطية للجولة الاولى والثانية في الحقول النفطية في العراق للمدة من 2017-2010)

2020 ◽  
Vol 2020 (66) ◽  
pp. 65-85
Author(s):  
هيثم عبد النبي موسى ◽  
أ .د حيدر نعمة غالي الفريجي
Keyword(s):  
Foreign Direct Investment ◽  
Stock Prices ◽  
Return On Investment ◽  
Direct Investment ◽  
Inverse Correlation ◽  
Market Value ◽  
Political Stability ◽  
Coefficient Of Determination ◽  
Independent Variable ◽  
The Impact

This study dealt with the effect of foreign direct investment on the market value of the company during the period of time (2010-2017). This issue was studied through a sample of oil fields in southern Iraq in which the company operates within the first and second licensing contracts rounds and according to the circumstances and variables of the investment environment as it is. Although this investment often achieves high returns, it is also characterized by a high degree of risk and for the purpose of evaluating the impact of foreign direct investment on the market value of the company's stock prices for the period (2010-2017). The statistical scale (T-TEST) was used to indicate the significance of the correlation hypotheses. Between the return on investment as the independent variable and the market value as the dependent variable, and the use of the coefficient of determination (R2) that measures the effect of the independent variable (foreign direct investment) on the dependent variable (market value) and the F-Test to demonstrate acceptance or rejection of the hypothesis of the return on investing in the market value of the oil company, and if the company achieves a high return in foreign direct investment, the market value of it will be affected positively. The study was based on a set of goals, including determining the attractiveness of Iraq to foreign investments, especially the oil sector, and the study reached a number of conclusions, the most prominent of which is the existence of a strong inverse correlation between the return on investment and the market value of the company. And the existence of a slight impact of the return on investment on the market value of the company, and the study reached a number of recommendations, the most important of which is activating the investment climate through political stability and the clarity and stability of laws and legislation regulating investment, which is one of the most important factors affecting the investment decision.

Security Threat Analyses and Attack Models for Approximate Computing Systems

2021 ◽  
Vol 26 (4) ◽  
pp. 1-31
Author(s):  
Pruthvy Yellu ◽  
Landon Buell ◽  
Miguel Mark ◽  
Michel A. Kinsy ◽  
Dongpeng Xu ◽  
...  
Keyword(s):  
Error Resilience ◽  
Security Threats ◽  
Approximate Computing ◽  
Security Threat ◽  
Security Vulnerabilities ◽  
Computing Systems ◽  
Quantitative Analyses ◽  
Resilience Mechanisms ◽  
The Impact ◽  
Attack Models

Approximate computing (AC) represents a paradigm shift from conventional precise processing to inexact computation but still satisfying the system requirement on accuracy. The rapid progress on the development of diverse AC techniques allows us to apply approximate computing to many computation-intensive applications. However, the utilization of AC techniques could bring in new unique security threats to computing systems. This work does a survey on existing circuit-, architecture-, and compiler-level approximate mechanisms/algorithms, with special emphasis on potential security vulnerabilities. Qualitative and quantitative analyses are performed to assess the impact of the new security threats on AC systems. Moreover, this work proposes four unique visionary attack models, which systematically cover the attacks that build covert channels, compensate approximation errors, terminate normal error resilience mechanisms, and propagate additional errors. To thwart those attacks, this work further offers the guideline of countermeasure designs. Several case studies are provided to illustrate the implementation of the suggested countermeasures.

Feasibility and preliminary data for a State-wide South Carolina Lupus Registry

Lupus ◽  
2021 ◽  
pp. 096120332110145
Author(s):  
Brittany L Smalls ◽  
Trevor D Faith ◽  
Hetlena Johnson ◽  
Edith M Williams
Keyword(s):  
South Carolina ◽  
Lupus Erythematosus ◽  
Preliminary Data ◽  
Autoimmune Disorder ◽  
Medical Community ◽  
Small Samples ◽  
Control Board ◽  
Prospective Survey ◽  
And Control ◽  
The Impact

Background Systemic lupus erythematosus (SLE) or lupus is an autoimmune disorder whose cause and reason for disproportionate impact on minorities remains enigmatic. Furthermore, statistics describing lupus incidence and prevalence are outdated and often based on small samples. To begin to address this disparity this report describes preliminary data to be utilized in the development of a state-wide lupus registry in South Carolina. Methods A prospective survey and retrospective data from the South Carolina Budget and Control Board Office of Research & Statistics were used to capture data pertaining to knowledge of lupus, prevalence, and access to lupus care. Results Retrospective ORS data indicated there were 11,690 individuals living with lupus in 2014 with the average direct cost of $69,999.40 in medical care. Prospective surveys (N = 325), in over 16 locations in South Carolina, showed 31% knew someone with lupus, 16% had been diagnosed with lupus, and 50% did not know of a medical facility that treated lupus. Conclusion A lupus registry and repository will provide ongoing access for researchers on the impact of lupus on communities in South Carolina. Lupus is highly prevalent, but disproportionately represented in terms of patient information and participation in clinical trials, so it is also expected that this preliminary work will provide an ongoing process in which the medical community can better engage lupus patients.

The Impact of Live Cases on Student Skill Development in Marketing Courses

2021 ◽  
pp. 027347532110345
Author(s):  
Shannon Cummins ◽  
Jeff S. Johnson
Keyword(s):  
Time Management ◽  
Learning Experience ◽  
Skill Development ◽  
Handling Time ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Small Samples ◽  
Conflict Handling ◽  
Student Skill ◽  
The Impact

Live cases, where students work directly with an outside organization to solve real-world problems, can be an immersive learning experience for marketing students. Current scholarship on live case usage in marketing is limited to small samples from a handful of live case devotees. This article draws from a large, international sample of 169 marketing educators to investigate the perceived educational impacts of live cases on student skill development. Specifically, the paper explores student teamwork, conflict handling, time management, presentation, communication, and critical thinking skills. Additionally, the article explores how student skill development is affected by the amount of course time dedicated to the live case as well as faculty experience with live cases.

scholarly journals Profile of the Change in Depression during Proton-Pump Inhibitor Therapy in Patients with Gastroesophageal Reflux Disease: Influence of the Mucosal Break

2021 ◽  
Vol 18 (11) ◽  
pp. 5964
Author(s):  
Chia-Liang Wu ◽  
Chien-Lin Chen ◽  
Shu-Hui Wen
Keyword(s):  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Proton Pump ◽  
Reflux Disease ◽  
Proton Pump Inhibitor Therapy ◽  
Linear Regression Models ◽  
Independent Variable ◽  
The Difference ◽  
Mucosal Break ◽  
The Impact

Given the frequent concomitance between depression and gastroesophageal reflux disease (GERD), it is important to evaluate the change of depression in patients with GERD, especially considering the presence of esophageal mucosal breaks (MB). This study aimed to examine the change in the levels of depression in patients with GERD during proton-pump inhibitors (PPI) therapy. We designed a prospective cohort study to explore the profile of the alteration in depression with respect to the impact of esophageal MB. This study recruited 172 eligible patients with GERD between February 2016 and May 2018. The change in depression was defined as the difference between the respective Taiwanese Depression Questionnaire (TDQ) scores obtained at baseline and after PPI therapy. Multivariate linear regression models were used to estimate the factors associated with the change in depression. The results revealed statistically significant improvements in the TDQ score (mean score: baseline = 13.2, after PPI therapy = 10.9, p < 0.01, Cohen’s d = 0.30) during PPI therapy for GERD. Moreover, the MB was an independent variable associated with changes in the TDQ score [B = 3.31, 95% confidence interval (CI): (1.12, 5.51), p < 0.01] and the improvement in depression [odds ratio = 0.38, 95% CI: (0.17, 0.86), p = 0.02]. Our findings revealed that depressive symptoms improved slightly following PPI therapy. Moreover, MB was an unfavorable prognostic factor for the improvement in depression.

scholarly journals Heavy-Metal Contents and the Impact of Roasting on Polyphenols, Caffeine, and Acrylamide in Specialty Coffee Beans

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1310
Author(s):  
Matúš Várady ◽  
Sylwester Ślusarczyk ◽  
Jana Boržíkova ◽  
Katarína Hanková ◽  
Michaela Vieriková ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Dry Matter ◽  
Green Beans ◽  
Caffeoylquinic Acids ◽  
Coffee Beans ◽  
Metal Contents ◽  
Specialty Coffee ◽  
Quantitative Analyses ◽  
The Impact

The aim of this study was to determine the effect of roasting on the contents of polyphenols (PPH), acrylamide (AA), and caffeine (CAF) and to analyze heavy metals in specialty coffee beans from Colombia (COL) and Nicaragua (NIC). Samples of NIC were naturally processed and COL was fermented anaerobically. Green beans from COL (COL-GR) and NIC (NIC-GR) were roasted at two levels, light roasting (COL-LIGHT and NIC-LIGHT) and darker roasting (COL-DARK and NIC-DARK), at final temperatures of 210 °C (10 min) and 215 °C (12 min), respectively. Quantitative analyses of PPH identified caffeoylquinic acids (CQA), feruloylquinic acids, and dicaffeoylquinic acids. Isomer 5-CQA was present at the highest levels and reached 60.8 and 57.7% in COL-GR and NIC-GR, 23.4 and 29.3% in COL-LIGHT and NIC-LIGHT, and 18 and 24.2% in COL-DARK and NIC-DARK, respectively, of the total PPH. The total PPH contents were highest in COL-GR (59.76 mg/g dry matter, DM). Roasting affected the contents of PPH, CAF, and AA (p < 0.001, p < 0.011 and p < 0.001, respectively). Nickel and cadmium contents were significantly higher in the COL-GR than in the NIC-GR beans. Darker roasting decreased AA content, but light roasting maintained similar amounts of CAF and total PPH.

scholarly journals The potential for person-centred planning to support the community participation of adults with an intellectual disability

2021 ◽  
pp. 174462952110221
Author(s):  
Darren McCausland ◽  
Esther Murphy ◽  
Mary McCarron ◽  
Philip McCallion
Keyword(s):  
Intellectual Disability ◽  
Mixed Methods ◽  
Community Participation ◽  
Social Inclusion ◽  
Mixed Methods Approach ◽  
Complex Needs ◽  
Qualitative Case Studies ◽  
Quantitative Analyses ◽  
The Right ◽  
The Impact

Person-centred planning (PCP) puts individuals with an intellectual disability at the centre of service and support planning, identifying how individuals wish to live their lives and what is needed to make that possible. PCP has been identified as having the potential to facilitate improved social inclusion and community participation. A mixed-methods approach combined quantitative analyses with qualitative case studies of individuals with severe-profound intellectual disability to assess the impact of PCP on community participation for adults with an intellectual disability at a disability service in Dublin. We conclude that PCP may provide a good basis to plan community participation and, with the right supports in place, may provide opportunities for people with complex needs to improve their community participation. Supports including familiar staff and family are critical to the success of PCP for people with complex needs, and their absence may undermine the best intentions of PCP for this population.

Underwater Acoustic Target Recognition Based on Generative Adversarial Network Data Augmentation

2021 ◽  
Vol 263 (2) ◽  
pp. 4558-4564
Author(s):  
Minghong Zhang ◽  
Xinwei Luo
Keyword(s):  
Data Augmentation ◽  
Target Recognition ◽  
Training Data ◽  
Small Samples ◽  
Generative Adversarial Network ◽  
Data Set ◽  
Underwater Acoustic ◽  
Adversarial Network ◽  
Acoustic Target ◽  
The Impact

Underwater acoustic target recognition is an important aspect of underwater acoustic research. In recent years, machine learning has been developed continuously, which is widely and effectively applied in underwater acoustic target recognition. In order to acquire good recognition results and reduce the problem of overfitting, Adequate data sets are essential. However, underwater acoustic samples are relatively rare, which has a certain impact on recognition accuracy. In this paper, in addition of the traditional audio data augmentation method, a new method of data augmentation using generative adversarial network is proposed, which uses generator and discriminator to learn the characteristics of underwater acoustic samples, so as to generate reliable underwater acoustic signals to expand the training data set. The expanded data set is input into the deep neural network, and the transfer learning method is applied to further reduce the impact caused by small samples by fixing part of the pre-trained parameters. The experimental results show that the recognition result of this method is better than the general underwater acoustic recognition method, and the effectiveness of this method is verified.

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