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Hierarchical Semantic-Aware Neural Code Representation, Yuan Jiang, Xiaohong Su, Christoph Treude, Tiantian Wang Sep 2022

Hierarchical Semantic-Aware Neural Code Representation, Yuan Jiang, Xiaohong Su, Christoph Treude, Tiantian Wang

Research Collection School Of Computing and Information Systems

Code representation is a fundamental problem in many software engineering tasks. Despite the effort made by many researchers, it is still hard for existing methods to fully extract syntactic, structural and sequential features of source code, which form the hierarchical semantics of the program and are necessary to achieve a deeper code understanding. To alleviate this difficulty, we propose a new supervised approach based on the novel use of Tree-LSTM to incorporate the sequential and the global semantic features of programs explicitly into the representation model. Unlike previous techniques, our proposed model can not only learn low-level syntactic information within …


Largeea: Aligning Entities For Large-Scale Knowledge Graphs, Congcong Ge, Xiaoze Liu, Lu Chen, Yunjun Gao, Baihua Zheng Sep 2022

Largeea: Aligning Entities For Large-Scale Knowledge Graphs, Congcong Ge, Xiaoze Liu, Lu Chen, Yunjun Gao, Baihua Zheng

Research Collection School Of Computing and Information Systems

Entity alignment (EA) aims to find equivalent entities in different knowledge graphs (KGs). Current EA approaches suffer from scalability issues, limiting their usage in real-world EA scenarios. To tackle this challenge, we propose LargeEA to align entities between large-scale KGs. LargeEA consists of two channels, i.e., structure channel and name channel. For the structure channel, we present METIS-CPS, a memory-saving mini-batch generation strategy, to partition large KGs into smaller mini-batches. LargeEA, designed as a general tool, can adopt any existing EA approach to learn entities’ structural features within each mini-batch independently. For the name channel, we first introduce NFF, a …


An Attribute-Aware Attentive Gcn Model For Attribute Missing In Recommendation, Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie Sep 2022

An Attribute-Aware Attentive Gcn Model For Attribute Missing In Recommendation, Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie

Research Collection School Of Computing and Information Systems

As important side information, attributes have been widely exploited in the existing recommender system for better performance. However, in the real-world scenarios, it is common that some attributes of items/users are missing (e.g., some movies miss the genre data). Prior studies usually use a default value (i.e., "other") to represent the missing attribute, resulting in sub-optimal performance. To address this problem, in this paper, we present an attribute-aware attentive graph convolution network (A(2)-GCN). In particular, we first construct a graph, where users, items, and attributes are three types of nodes and their associations are edges. Thereafter, we leverage the graph …


On The Effectiveness Of Using Graphics Interrupt As A Side Channel For User Behavior Snooping, Haoyu Ma, Jianwen Tian, Debin Gao, Chunfu Jia Sep 2022

On The Effectiveness Of Using Graphics Interrupt As A Side Channel For User Behavior Snooping, Haoyu Ma, Jianwen Tian, Debin Gao, Chunfu Jia

Research Collection School Of Computing and Information Systems

Graphics Processing Units (GPUs) are now a key component of many devices and systems, including those in the cloud and data centers, thus are also subject to side-channel attacks. Existing side-channel attacks on GPUs typically leak information from graphics libraries like OpenGL and CUDA, which require creating contentions within the GPU resource space and are being mitigated with software patches. This paper evaluates potential side channels exposed at a lower-level interface between GPUs and CPUs, namely the graphics interrupts. These signals could indicate unique signatures of GPU workload, allowing a spy process to infer the behavior of other processes. We …


Musi 162a.17: Saxophone Ensemble, Ulf Johan Eriksson Sep 2022

Musi 162a.17: Saxophone Ensemble, Ulf Johan Eriksson

University of Montana Course Syllabi, 2021-2025

No abstract provided.


Bayesian Methods In Economics And Finance: Editor's Introduction, Jun Yu Sep 2022

Bayesian Methods In Economics And Finance: Editor's Introduction, Jun Yu

Research Collection School Of Economics

Modern days, Bayesian methods have gained prominence in theoretical work and applications in economics and finance due to the rapid development of computational technologies and their ability to learn. The special issue intends to examine central aspects in Bayesian analysis and applications, including prior choices, model selection with massive data and latent variables, hypothesis testing, Bayesian learning. In total, this special issue contains ten papers, all subject to the Journal of Econometrics (JOE)’s normal refereeing process. Most of these papers came from a conference held at the ESSEC Singapore campus on 10 December 2018.


Posterior-Based Wald-Type Statistic For Hypothesis Testing, Xiaobin Liu, Yong Li, Jun Yu, Tao Zeng Sep 2022

Posterior-Based Wald-Type Statistic For Hypothesis Testing, Xiaobin Liu, Yong Li, Jun Yu, Tao Zeng

Research Collection School Of Economics

A new Wald-type statistic is proposed for hypothesis testing based on Bayesian posterior distributions under the correct model specification. The new statistic can be explained as a posterior version of the Wald statistic and has several nice properties. First, it is well-defined under improper prior distributions. Second, it avoids Jeffreys–Lindley–Bartlett’s paradox. Third, under the null hypothesis and repeated sampling, it follows a distribution asymptotically, offering an asymptotically pivotal test. Fourth, it only requires inverting the posterior covariance for parameters of interest. Fifth and perhaps most importantly, when a random sample from the posterior distribution (such as MCMC output) is available, …


The Polar Silk Road And The Future Governance Of Northern Sea Route, Nengye Liu, Jan Jakub Solski Sep 2022

The Polar Silk Road And The Future Governance Of Northern Sea Route, Nengye Liu, Jan Jakub Solski

Research Collection Yong Pung How School Of Law

This article examines China’s Polar Silk Road (PSR) and its legal implications for the future governance of the Northern Sea Route (NSR). It first discusses China’s economic and geopolitical interests in the so-called Polar Silk Road. The article then focuses on comparing Russian regulation of the NSR and Chinese regulation of foreign vessels as a coastal state. Both China and Russia are contracting parties to the United Nations Convention on the Law of the Sea (UNCLOS). The comparison of domestic legislations aims to provide a detailed analysis on convergence and divergence of their implementation and enforcement of the UNCLOS on …


Strata Plan Cancellations In Australasia: A Comparative Analysis Of Nine Jurisdictions, Seng Wei, Edward Ti Sep 2022

Strata Plan Cancellations In Australasia: A Comparative Analysis Of Nine Jurisdictions, Seng Wei, Edward Ti

Research Collection Yong Pung How School Of Law

A growing number of Australasian jurisdictions now permit a supermajority of owners to terminate a co-owned building scheme allowing proprietors to redevelop, or more commonly, sell the underlying land. This planning tool aids municipal rejuvenation, prevents urban sprawl and provides new housing. In this paper, I examine the provisions pertaining to cancellation of unit plans under nine jurisdictions – New Zealand and all eight jurisdictions in Australia. This comparative analysis highlights several unique aspects of the Unit Title Act 2010 (NZ) such as the way its voting thresholds are calculated and the idiosyncratic application of the ‘just and equitable’ standard …


Corporate Shareholders In Singapore: Retail Shareholders, Effective Empowerment And The Unfulfilled Promise Of The Digital Revolution, Pearlie M. C. Koh, Hwee Hoon Tan Sep 2022

Corporate Shareholders In Singapore: Retail Shareholders, Effective Empowerment And The Unfulfilled Promise Of The Digital Revolution, Pearlie M. C. Koh, Hwee Hoon Tan

Research Collection Yong Pung How School Of Law

Under Singapore’s companies legislation, shareholders are vested with significant powers, placing them in the position to play an important monitoring role. Although there are discernible corporate governance benefits to encouraging shareholders to take on a more participatory role, many have argued against shareholder empowerment. Indeed, it is often asserted that shareholders are ill-equipped to play any role in corporate governance for a variety of reasons, including the generally-held view that shareholders, in particular retail investors, are rationally apathetic. The situation is presumed to be exacerbated in Singapore’s “concentrated shareholding” corporate environment. In this research, we sought empirical data to assess …


Property In Whose Name? Intrahousehold Bargaining Over Homeownership In China, Jia Yu, Cheng Cheng Sep 2022

Property In Whose Name? Intrahousehold Bargaining Over Homeownership In China, Jia Yu, Cheng Cheng

Research Collection School of Social Sciences

Previous research typically examined homeownership inequality across individuals or households, overlooking the intrahousehold allocation of homeownership. Using couple-level data of the 2016 China Family Panel Studies, our study addresses the gap by examining the bargaining over homeownership between husbands and wives in China. Descriptive results reveal a large gender gap in homeownership: only about one-quarter of couples listed the wife as an owner on the Housing Ownership Certificate, whereas about 92% listed the husband. The gender gap in ownership, however, has narrowed among couples married after 2000. Multivariate analyses show that economic autonomy, relative resources, housing purchase conditions, and modernization …


Well-Being Science For Teaching And The General Public, William Tov, Derrick Wirtz, Kostadin Kushlev, Robert Biswas-Diener, Ed Diener Sep 2022

Well-Being Science For Teaching And The General Public, William Tov, Derrick Wirtz, Kostadin Kushlev, Robert Biswas-Diener, Ed Diener

Research Collection School of Social Sciences

Research on well-being has exploded in recent years to more than 55,000 relevant publications annually, making it difficult for psychologists—including key communicators such as textbook authors—to stay current with this field. Moreover, well-being is a daily concern among policymakers and members of the general public. Well-being science is relevant to the lives of students—illustrating the diverse methods used in the behavioral sciences, presenting highly replicated findings, and demonstrating the diversity of individuals and cultures. Therefore, in this article, we present eight major findings that teachers and authors should seriously consider in their coverage of this field. These topics include processes …


Fueling Green Connections: Networked Policy Instrument Choices For Sustainability Regulation, Ishani Mukherjee Sep 2022

Fueling Green Connections: Networked Policy Instrument Choices For Sustainability Regulation, Ishani Mukherjee

Research Collection School of Social Sciences

This paper presents a policy network analysis study that examines policy subsystem interconnectedness and cohesion, to explore three constituent regulatory policy instruments that have a combined impact on governing sustainability. The network surrounding the environmental sustainability of biodiesel policy in Indonesia is marked by high interconnectedness and relatively weaker cohesion, properties that impact how policy solutions are formulated through policy actor interactions and define prevailing policy formulation styles. Using primary policy network data on 46 organizations and the review of national regulations, laws, and directives, this paper tests established hypotheses on how instruments that are formulated within the same policy …


The Establishment Of A Virtual Patient-Based Nationwide Contest On Clinical Reasoning, Hui-Fang Yeh, Tsuen-Chiuan Tsai Sep 2022

The Establishment Of A Virtual Patient-Based Nationwide Contest On Clinical Reasoning, Hui-Fang Yeh, Tsuen-Chiuan Tsai

Journal of Medical Education

Virtual patients (VPs) have been reported as a pedagogical tool for enhancing medical students' clinical reasoning skills, while its feasibility of being used for a large-scaled clinical assessment on clinical reasoning has not be addressed. Purpose: This study is to report the establishment of a large-scale VP-based interactive clinical examination. Methods: Through a computer and web-connection, each contestant gained access to the interactions with the VPs in a virtual hospital. The preconditions for a success nationwide contest was provided. Results: Between 2018 and 2021, a VP‐based nationwide clinical reasoning contest was established and held simultaneously in three different locations in …


Online Tbl Using The Zoom^(Tm) Application During The Covid-19 Pandemic, Jakrawadee Julamanee, Pongtep Viboonjuntra, Daolada Kongkabpan, Arnuparp Lekhakula Sep 2022

Online Tbl Using The Zoom^(Tm) Application During The Covid-19 Pandemic, Jakrawadee Julamanee, Pongtep Viboonjuntra, Daolada Kongkabpan, Arnuparp Lekhakula

Journal of Medical Education

Introduction: Team-based learning (TBL) engages students to participate in sharing knowledge and applications through teamwork. However, onsite learning was not possible during COVID-19 pandemic. This study aimed to assess the feasibility and effectiveness of online TBL as well as the effect of the learning method on performance and satisfaction of the students. Materials and Methods: An online TBL course was designed for the Hematopoietic System and Biology of Neoplasia module for 187 third-year medical students using both whole class and 'breakout rooms' feature of the Zoom^(TM) application. The individual and team readiness assurance tests (iRAT and tRAT) were conducted along …


Female Fertility Preservation: Current & Future Strategies, Nouran Sallam, Reda Hemida Sep 2022

Female Fertility Preservation: Current & Future Strategies, Nouran Sallam, Reda Hemida

Mansoura Medical Journal

Recently, the spectacular progress in diagnosis, treatment, and prognosis of different malignancies has increased the demands on fertility preservation. Fertility impairment is considered one of the complications of radio/cytotoxic treatments in females who managed to overcome their cancer. This issue of fertility preservation also concerns those who are at risk of developing ovarian failure as well as healthy individuals who aim to overcome age-related fertility decline. Regarding female fertility preservation, there are various options that could be selected according to various factors, including the patient’s age, type of the disease, as well as type and urgency of treatment. Among these …


Invasive Fungal Sinusitis Associated With Covid-19, Ali Elzar, Ahmed Eldeeb, Heba Aldegla Sep 2022

Invasive Fungal Sinusitis Associated With Covid-19, Ali Elzar, Ahmed Eldeeb, Heba Aldegla

Mansoura Medical Journal

According to WHO Coronavirus (COVID-19) Dashboard, as of 11th February 2022, there have been 404,910,528 confirmed cases of COVID-19, includ-ing 5,783,776 deaths. Coronavirus-2 (SARS-CoV-2) is the causative agent. It is caused by coronavirus-2 (SARS-CoV-2), the disease may cause acute respiratory dis-tress syndrome (ARDS), that increases the susceptibility of co-infections with fungi. Acute invasive fungal sinusitis (AIFS) is a severe infection mostly affecting immune-compromised patients and carries high risk of mortality. COVID-19 patients admitted to the ICU have risk factors for AIFS, mainly chronic diseases of the respiratory tract, treatment with corticosteroid, intubation/mechanical ventilation, and cytokine storm. Aspergillus and Mucorales are …


The Value Of D-Dimer Blood Concentrations In Prediction Of Presence Of Left Atrial Thrombus In Patients With Non-Valvular Atrial Fibrillation, Ahmed Bedier, Sally Teima, Abdallah Elshal Sep 2022

The Value Of D-Dimer Blood Concentrations In Prediction Of Presence Of Left Atrial Thrombus In Patients With Non-Valvular Atrial Fibrillation, Ahmed Bedier, Sally Teima, Abdallah Elshal

Mansoura Medical Journal

Background: Atrial fibrillation (AF) is the most typical sustained cardiac disturbance all over the world, it increases the risk of left atrial (LA) thrombus, Plasma fibrin D-dimers seems to be a helpful parameter for assessing the degrees of hypercoagulability. Higher risk of recurrent ischemic stroke was found to be associated with baseline elevated D-dimers levels. Aim: To assess the value of D-Dimer examination in prediction of presence of LA thrombus in patients with AF instead of transesophageal echocardiography (TEE) examination. Patients and Methods: Analytical cross-sectional study was conducted. It included 250 patients divided according to presence of LA thrombus into …


Chordoid Meningioma: Clinical, Hsitopathological And Radiological Study, Mohamed Elsherbini, M Elhawary, Khadega Ali, Ali Elmokadem, Amr Khalil, Mohammad Elshirbiny Sep 2022

Chordoid Meningioma: Clinical, Hsitopathological And Radiological Study, Mohamed Elsherbini, M Elhawary, Khadega Ali, Ali Elmokadem, Amr Khalil, Mohammad Elshirbiny

Mansoura Medical Journal

Background: The purpose of this study is to discuss the clinical, radiological and histopathological features of a rare grade 2 variant of meningioma which is the most common primary intracranial tumor. Patients and methods: A retrospective analysis of the data of 6 patients who underwent surgery for a histopathologically proven chodroid meningioma. Results: Six patients’ pathology reports showed chordoid meningioma. On imaging, four lesions (67%) were isointense in T1 while the other two were hypointense. On T2 weighted images, four patients were hyperintense (67%) and displayed non-restricted diffusion pattern with elevated values on corresponding apparent diffusion coefficient maps. Pathologically, chordoid …


The Polyunsaturated Fatty Acid Profile In Erythrocyte Cell Membranes Among Group Of Egyptian Rheumatoid Arthritis Patients, Doaa Elseady, Eman Hafez, Atif Elghaweet, Amr Negm Sep 2022

The Polyunsaturated Fatty Acid Profile In Erythrocyte Cell Membranes Among Group Of Egyptian Rheumatoid Arthritis Patients, Doaa Elseady, Eman Hafez, Atif Elghaweet, Amr Negm

Mansoura Medical Journal

Feedback: Recently, it has been discovered that a disturbed polyunsaturated fatty acid ratio predisposes to inflammation and increases the risk of autoimmune disease. The assessment of polyunsaturated fatty acids in RBC cell membranes is an accurate method that reflects their actual level without being influenced by daily diet. Objectives: To determine the levels of various polyunsaturated fatty acids in erythrocyte membranes in the Rheumatoid arthritis (RA) cohort group versus the control group. In addition, to study the relation between their levels and activity as well as seropositivity. Results: When compared to a healthy control group, there was a significant rise …


On The Authorship Of Hebrews: The Case For Paul, Félix H. Cortez Sep 2022

On The Authorship Of Hebrews: The Case For Paul, Félix H. Cortez

Faculty Publications

No abstract provided.


Worldviews Transformed: How God And His People Can Change Worldview, S. Joseph Kidder, Katelyn Campbell Weakley Sep 2022

Worldviews Transformed: How God And His People Can Change Worldview, S. Joseph Kidder, Katelyn Campbell Weakley

Faculty Publications

No abstract provided.


Perceptual Analysis Of Distance Sampling And Transmittance Estimation Techniques In Biomedical Volume Visualization, Raazia Sosan, Muhammad Mobeen Movania, Shama Siddiqui Sep 2022

Perceptual Analysis Of Distance Sampling And Transmittance Estimation Techniques In Biomedical Volume Visualization, Raazia Sosan, Muhammad Mobeen Movania, Shama Siddiqui

Turkish Journal of Electrical Engineering and Computer Sciences

In volumetric path tracer, distance sampling and transmittance estimation techniques play a vital role in producing high-quality final rendered images. Previously, these techniques were implemented for production volume rendering, and were analyzed for faster convergence. In this article, we have augmented additional transmittance estimators including ratio tracking, residual ratio tracking and unbiased ray marcher in a GPU-based volumetric path tracer (Exposure Render) for biomedical datasets. We have also analyzed distance sampling methods and transmittance estimators perceptually using CIEDE2000 and Structural Similarity Index (SSIM). It was found that ratio and residual ratio tracking estimators performed close to each other and were …


A New Approach For Congestive Heart Failure And Arrhythmia Classification Using Downsampling Local Binary Patterns With Lstm, Süleyman Akdağ, Fatma Kuncan, Yilmaz Kaya Sep 2022

A New Approach For Congestive Heart Failure And Arrhythmia Classification Using Downsampling Local Binary Patterns With Lstm, Süleyman Akdağ, Fatma Kuncan, Yilmaz Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

Electrocardiogram (ECG) is a vital diagnosis approach for the rapid explication and detection of various heart diseases, especially cardiac arrest, sinus rhythms, and heart failure. For this purpose, in this study, a different perspective based on downsampling one-dimensional-local binary pattern (1D-DS-LBP) and long short-term memory (LSTM) is presented for the categorization of Electrocardiogram (ECG) signals. A transformation method named 1DDS-LBP has been presented for Electrocardiogram signals. The 1D-DS-LBP method processes the bigness smallness relationship between neighbors. According to the proposed method, by downsampling the signal, the histograms of 1D local binary patterns (1D-LBP) calculated from the obtained signal groups are …


Two-Layered Blockchain-Based Admission Control For Secure Uav Networks, Müge Özçevi̇k Sep 2022

Two-Layered Blockchain-Based Admission Control For Secure Uav Networks, Müge Özçevi̇k

Turkish Journal of Electrical Engineering and Computer Sciences

The frequent replacement requirement of UAVs for recharging outputs an extreme number of messaging for admission control of end-users. There are many studies that try to optimize the network capacity in an energy-efficient manner. However, they do not consider the security of data and control channels, which is the urgent requirement of 5G. Blockchain handles secure systems. However, the high numbered transactions in blockchain may cause bottlenecks while considering computational delay and throughput of end-user. In UAVs, a high percentage of battery is consumed for computational tasks instead of communication tasks. Therefore, to handle security by considering the computational needs, …


Analysis Of Patch And Sample Size Effects For 2d-3d Cnn Models Using Multiplatform Dataset: Hyperspectral Image Classification Of Rosis And Jilin-1 Gp01 Imagery, Taşkin Kavzoğlu, Eli̇f Özlem Yilmaz Sep 2022

Analysis Of Patch And Sample Size Effects For 2d-3d Cnn Models Using Multiplatform Dataset: Hyperspectral Image Classification Of Rosis And Jilin-1 Gp01 Imagery, Taşkin Kavzoğlu, Eli̇f Özlem Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

Modern hyperspectral sensors provide a huge volume of data at spectral and spatial domains with high redundancy, which requires robust methods for analysis. In this study, 2D and 3D CNN models were applied to hyperspectral image datasets (ROSIS and Jilin-1 GP01) using varying patch and sample sizes to determine their combined impacts on the performance of deep learning models. Differences in classification performances in relation to particle and sample sizes were statistically analysed using McNemar?s test. According to the findings, raising the patch and sample size enhances the performance of the 2D/3D CNN model and produces more accurate results in …


Enhancement Of Stability Delay Margins By Virtual Inertia Control For Microgrids With Time Delay, Suud Ademnur Hasen, Şahi̇n Sönmez, Saffet Ayasun Sep 2022

Enhancement Of Stability Delay Margins By Virtual Inertia Control For Microgrids With Time Delay, Suud Ademnur Hasen, Şahi̇n Sönmez, Saffet Ayasun

Turkish Journal of Electrical Engineering and Computer Sciences

Large-scale deployment of renewable energy sources (RESs) contributes to fluctuations in the system frequency due to their inherent reduced inertia feature. Time delays have emerged as a major source of concern in microgrids (MGs) as a result of the broad adoption of open communication networks since significant delays inevitably reduce the controller?s performance and even cause instabilities. In this article, a frequency-domain direct method is used to evaluate the impact of the virtual inertia (VI) control on the stability delay margins of MG with communication delays. By avoiding approximation, the approach first removes transcendental terms from characteristic equations and turns …


Noncontact Machinery Operation Status Monitoring System With Gated Recurrent Unit Model, Jason Jing Wei Lim, Boon Yaik Ooi, Wai Kong Lee, Teik Boon Tan, Soung Yue Liew Sep 2022

Noncontact Machinery Operation Status Monitoring System With Gated Recurrent Unit Model, Jason Jing Wei Lim, Boon Yaik Ooi, Wai Kong Lee, Teik Boon Tan, Soung Yue Liew

Turkish Journal of Electrical Engineering and Computer Sciences

In manufacturing industry, assembly line monitoring provides statistical information about overall performance and reliability of the legacy machines, ensuring that the machines give maximum yield output. However, most legacy machines lack internet connectivity and advanced functionality, increasing the difficulty for tracking task. Therefore, this work seeks to introduce a noncontact acoustic method to track machines rather than the mainstream vibrational approach. In order to provide accurate tracking of the daily machine operation for our machine tracking system, we consider scenario of background noises such as environmental sounds from multiple sources as well as neighbouring machine?s sound. Thus, several neural networks …


Diacritics Correction In Turkish With Context-Aware Sequence To Sequence Modeling, Asi̇ye Tuba Özge, Özge Bozal, Umut Özge Sep 2022

Diacritics Correction In Turkish With Context-Aware Sequence To Sequence Modeling, Asi̇ye Tuba Özge, Özge Bozal, Umut Özge

Turkish Journal of Electrical Engineering and Computer Sciences

Digital texts in many languages have examples of missing or misused diacritics which makes it hard for natural language processing applications to disambiguate the meaning of words. Therefore, diacritics restoration is a crucial step in natural language processing applications for many languages. In this study we approach this problem as bidirectional transformation of diacritical letters and their ASCII counterparts, rather than unidirectional diacritic restoration. We propose a context-aware character-level sequence to sequence model for this transformation. The model is language independent in the sense that no language-specific feature extraction is necessary other than the utilization of word embeddings and is …


Christian Rap In Latvia: A New Page In The History Of Contemporary Christian Music In Baltic Christianity, Ņikita Andrejevs Sep 2022

Christian Rap In Latvia: A New Page In The History Of Contemporary Christian Music In Baltic Christianity, Ņikita Andrejevs

Occasional Papers on Religion in Eastern Europe

Excerpt: "In the context of the Soviet period and the huge effectiveness of Christian gospel rock as a vehicle of evangelization, however, these innovations’ proximity to “worldly” music, and the notion of protest and/or renewal that came along, provided the necessary attraction for Christians, converts, and people interested in contemporary Western music. Christian rap in Latvia, on the other hand, has developed in a context where popular culture including rap music was readily available to the audiences, and rap acquired the notion of protest that to most rappers and listeners, religious or not, is incompatible or even in conflict with …