The Landscape of Maritime Piracy and the Limits of Statistical Prediction

2015 ◽  
pp. 199-220 ◽  
Author(s):  
Philip Vos Fellman ◽  
Dinorah Frutos ◽  
Thanarerk “Nathan” Thanakijsombat ◽  
Pard Teekasap ◽  
Britten Schear
Keyword(s):  
Statistical Prediction ◽  
Maritime Piracy

Maritime Piracy in the Horn of Africa and its Security Implications on the Arab Region

2018 ◽  
Vol 34 (3) ◽  
pp. 318-331
Author(s):  
Yasser A. Hassan
Keyword(s):  
Horn Of Africa ◽  
Maritime Piracy ◽  
Arab Region

لقد ظَهرت القرصنة البحرية في منطقة القرن الإفريقي لتداعياتٍ إقليميةٍ ودوليةٍ ارتبطت بالظروف التي أملتها التغيرات التي حدثت في بعض دول المنطقة مثل: الصومال؛ وذلك يتطلّب ضرورة تعزيز فُرص مكافحة نشاطات القراصنة وتجفيف منابع مواردها المالية، بالإضافة إلى معاقبة القراصنة وتقديمهم إلى المحاكم من أجل القضاء على الظاهرة وتحقيق الأمن البحري وانسياب التجارة العالمية بكل سهولةٍ ويسرٍ.

An evaluation of DSM-5 Section III Personality Disorder Criterion A (Impairment) in accounting for psychopathology

2018 ◽  
Author(s):  
Chelsea Sleep ◽  
Donald Lynam ◽  
Thomas A. Widiger ◽  
Michael L Crowe ◽  
Josh Miller
Keyword(s):  
Personality Disorders ◽  
Discriminant Validity ◽  
Factor Model ◽  
Incremental Validity ◽  
Self Report ◽  
Statistical Prediction ◽  
Dsm 5 ◽  
Criterion A ◽  
Personality Dysfunction ◽  
Axis I

An alternative diagnostic model of personality disorders (AMPD) was introduced in DSM-5 that diagnoses PDs based on the presence of personality impairment (Criterion A) and pathological personality traits (Criterion B). Research examining Criterion A has been limited to date, due to the lack of a specific measure to assess it; this changed, however, with the recent publication of a self-report assessment of personality dysfunction as defined by Criterion A (Levels of Personality Functioning Scale – Self-report; LPFS-SR; Morey, 2017). The aim of the current study was to test several key propositions regarding the role of Criterion A in the AMPD including the underlying factor structure of the LPFS-SR, the discriminant validity of the hypothesized factors, whether Criterion A distinguishes personality psychopathology from Axis I symptoms, the overlap between Criterion A and B, and the incremental predictive utility of Criterion A and B in the statistical prediction of traditional PD symptom counts. Neither a single factor model nor an a priori four-factor model of dysfunction fit the data well. The LPFS-SR dimensions were highly interrelated and manifested little evidence of discriminant validity. In addition, the impairment dimensions manifested robust correlations with measures of both Axis I and II constructs, challenging the notion that personality dysfunction is unique to PDs. Finally, multivariate regression analyses suggested that the traits account for substantially more unique variance in DSM-5 Section II PDs than does personality impairment. These results provide important information as to the functioning of the two main components of the DSM-5 AMPD and raise questions about whether the model may need revision moving forward.Keywords: dysfunction, impairment, personality disorders, Section III, incremental validity Public Significance: The alternative model of personality disorders included in Section III of the 5th addition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes two primary components: personality dysfunction and maladaptive traits. The current results raise questions about how a new, DSM-5 aligned measure of personality dysfunction operates with regard its factor structure, discriminant validity, ability to differentiate between personality and non-personality based forms of psychopathology, and incremental validity in the statistical prediction of traditional DSM personality disorders.

Statistical Prediction of Ocean Circulation and Trajectories

2002 ◽  
Author(s):  
Greg Holloway ◽  
William Merryfield
Keyword(s):  
Ocean Circulation ◽  
Statistical Prediction

STUDY ON STATISTICAL PREDICTION METHOD OF STORM SURGES IN THE SETO INLAND SEA EMPLOYING STOCHASTIC TYPHOON MODEL

2020 ◽  
Vol 76 (2) ◽  
pp. I_1087-I_1092
Author(s):  
Kanoto YOKOYAMA ◽  
Tomohiro YASUDA ◽  
Sooyoul KIM ◽  
Sota NAKAJO ◽  
Tomoya SHIMURA
Keyword(s):  
Prediction Method ◽  
Storm Surges ◽  
Statistical Prediction ◽  
Seto Inland Sea ◽  
The Seto Inland Sea

A comprehensive study on statistical prediction and reduction of tire/road noise

2021 ◽  
pp. 107754632110131
Author(s):  
Somaye Mohammadi ◽  
Abdolreza Ohadi ◽  
Mostafa Irannejad-Parizi
Keyword(s):  
Neural Network ◽  
Road Transport ◽  
Relevance Vector Machine ◽  
Statistical Investigation ◽  
Statistical Prediction ◽  
Support Vector ◽  
Prediction Ability ◽  
Vector Method ◽  
Tire Noise ◽  
Rolling Noise

Promoting safe tires with low external rolling noise increases the environmental efficiency of road transport. Although tire builders have been striving to reduce emitted noise, the issue’s sophisticated nature has made it difficult. This article aims to make the problem straightforward, relying on recent significant improvements in statistical science. In this regard, the prediction ability of new methods in this field, including support vector machine, relevance vector machine, and convolutional neural network, along with the new architecture of the neural network is compared. Tire noise is measured under the coast-by condition. Two training strategies are proposed: extracting features from a tread pattern image and directly importing an image to the model. The relevance vector method, which is trained using the first strategy, has provided the most accurate results with an error of 0.62 dB(A) in predicting the total noise level. This precise model is used instead of experimentation to analyze the sensitivity of tire noise to its parameters using a small central composite design. The parametric study reveals striking tips for reducing noise, especially in terms of interactions between parameters that have not previously been shown. Finally, a novel two-stage approach for reducing noise by tread pattern optimization is proposed, inspired by two regression models derived from statistical investigation and variance analysis. Changes in tread pattern specifications of two case studies and their randomization have resulted in a reduction of 3.2 dB(A) for a high-noise tire and 0.4 dB(A) decrement for a quieter tire.

Criminal Threats Undermining Indo-Pacific Maritime Security: Can International Law Build Resilience?

2020 ◽  
Vol 2 (2) ◽  
pp. 206-220
Author(s):  
Jade Lindley
Keyword(s):  
Natural Resources ◽  
International Law ◽  
Good Governance ◽  
Maritime Security ◽  
Broken Windows ◽  
Pacific Region ◽  
Maritime Piracy ◽  
Illegal Fishing ◽  
Crime Theory ◽  
Criminological Perspective

Maritime security in the Indo-Pacific region is strategically important to not only the surrounding states, but also those with an interest in its good governance, to support safe passage and natural resources extraction. Criminal threats, such as maritime piracy and illegal fishing, enabled by corruption and the potential for terrorism, undermine regional maritime security and therefore, there is incentive for states to respond cooperatively to secure the region. Drawing on broken windows crime theory, implicitly supporting the continuation of criminal threats within the region may enables exiting crimes to proliferate. With varying legal and political frameworks and interests across the Indo-Pacific region, achieving cooperation and harmonisation in response to regional maritime-based criminal threats can be challenging. As such, to respond to criminal threats that undermine maritime security, this article argues that from a criminological perspective, aligning states through existing international law enables cooperative regional responses. Indeed, given the prevalence of corruption within the region enabling serious criminal threats, harmonising through existing counter-corruption architecture may be a suitable platform to build from.

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