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In this contribution, chants of the followers of the Argentine football team Boca Juniors are analyzed with regard to possible identity constructions and othering. The results of the corpus-driven discourse-linguistic analysis demonstrate in particular metaphors and topoi that can be highlighted as a constitutive part of the discursive construction of a Boca Juniors supporters’ identity and the otherings of River Plate hinchas. Through the use of certain metaphors and determined lexical fields that clearly call for acts of violence, a masculine ethos is discursively constructed among Bocas own followers, which goes far beyond comparable insulting and cheering chants of comparable European football teams.
The nameless protagonist of the postmodern novel Monsieur, written by Belgian author Jean-Philippe Toussaint, can be described as a rather strange man. He lacks ambition, a drive for action and seems to be unfit for daily life. He constantly fails to accomplish his predestined role as a real man, as for instance to pay the bill for dinner when dating a woman. The scope of the present paper is to analyse, on the one hand, how this novel deconstructs hegemonial concepts of masculinity but, on the other hand, is in itself also a parody of the latter.
Shannon channel capacity estimation, based on large packet length is used in traditional Radio Resource Management (RRM) optimization. This is good for the normal transmission of data in a wired or wireless system. For industrial automation and control, rather short packages are used due to the short-latency requirements. Using Shannon’s formula leads in this case to inaccurate RRM solutions, thus another formula should be used to optimize radio resources in short block-length packet transmission, which is the basic of Ultra-Reliable Low-Latency Communications (URLLCs). The stringent requirement of delay Quality of Service (QoS) for URLLCs requires a link-level channel model rather than a physical level channel model. After finding the basic and accurate formula of the achievable rate of short block-length packet transmission, the RRM optimization problem can be accurately formulated and solved under the new constraints of URLLCs. In this short paper, the current mathematical models, which are used in formulating the effective transmission rate of URLLCs, will be briefly explained. Then, using this rate in RRM for URLLC will be discussed.
This article examines principles of gender assignment in the German and Spanish language and in this way tries to answer the question of why loanwords are preferably assigned a particular gender and what criteria motivate this choice. After introducing some general aspects about gender as well as some important properties of the German and Spanish gender systems, this paper compares several formal (morphological and phonological) and semantic rules regarding gender assignment. Despite large structural differences between the languages, the comparison shows that the assignment rules prove to be in a sense cross-lingual, which do not only testify to the assumption but also the validity of an underlying system of rules.
The article deals with the notion of internet aggression (cyber aggression). It considers the mentioned term from both psychological and communicative approaches. The paper also provides detailed analyses of the cyber aggression in political discourse. The provided ex-amples are taken from the speeches of politicians during the time of Covid pandemic. The author also identifies several types of cyber aggression.
Today’s advanced Internet-of-Things applications raise technical challenges on cloud, edge, and fog computing. The design of an efficient, virtualized, context-aware, self-configuring orchestration system of a fog computing system constitutes a major development effort within this very innovative area of research. In this paper we describe the architecture and relevant implementation aspects of a cloudless resource monitoring system interworking with an SDN/NFV infrastructure. It realizes the basic monitoring component of the fundamental MAPE-K principles employed in autonomic computing. Here we present the hierarchical layering and functionality within the underlying fog nodes to generate a working prototype of an intelligent, self-managed orchestrator for advanced IoT applications and services. The latter system has the capability to monitor automatically various performance aspects of the resource allocation among multiple hosts of a fog computing system interconnected by SDN.
To reopen educational institutions and return to the classroom, we all need to modify how we act to successfully face the challenges of the new normal resulting from the COVID-19 pandemic and entailing our insights into and the after-effects of the pandemic. More specifically, the new normal might encompass online education we are getting used to during the pandemic and the age-old onsite education as well. Thoughtfully integrated, online and onsite learning combine to create blended learning. However, the pertinent literature reveals that English as a foreign language (EFL) students and teachers differently perceive and react to blended learning in diverse contexts. This study was designed to explore student and teacher perceptions of and reactions to blended learning in the Department of English, Jahangirnagar University in the new normal. Fifty undergraduates of EFL and eight teachers of the department participated in the study. To collect data from them, the Student Questionnaire and the Teacher Questionnaire were used. And the data were processed by applying the SPSS programme module. The findings revealed that the majority of the students and the teachers had mostly positive perceptions of blended learning, although the former did not have sufficient exposure to online learning and the latter lacked adequate insights into online teaching. Further, both the students and the teachers expressed mostly positive reactions to blended learning in the new normal, though the former deemed online examinations inadequately smooth and reliable, and the latter had insufficient experience of online instruction and assessment. The study categorically recommends reforming the curriculum, adopting relevant instructional strategies, developing suitable materials, customizing the assessment, integrating and installing technology, training the teachers, upskilling the students for blended learning, improving the infrastructure, and adjusting the management.
Utilizing multiple access technologies such as 5G, 4G, and Wi-Fi within a coherent framework is currently standardized by 3GPP within 5G ATSSS. Indeed, distributing packets over multiple networks can lead to increased robustness, resiliency and capacity. A key part of such a framework is the multi-access proxy, which transparently distributes packets over multiple paths. As the proxy needs to serve thousands of customers, scalability and performance are crucial for operator deployments. In this paper, we leverage recent advancements in data plane programming, implement a multi-access proxy based on the MP-DCCP tunneling approach in P4 and hardware accelerate it by deploying the pipeline on a smartNIC. This is challenging due to the complex scheduling and congestion control operations involved. We present our pipeline and data structures design for congestion control and packet scheduling state management. Initial measurements in our testbed show that packet latency is in the range of 25 μs demonstrating the feasibility of our approach.
A Case Study of the Basic Learners’ Struggles in Guessing from Context to Retain Words Learned
(2022)
Guessing meaning from context is a challenging strategy for Second Language Learners (SLLs). In using the strategy, research found that poor students or low proficiency learners struggled in their attempts to use it. Mainly, it was reported that it was due to their vocabulary knowledge was limited. In another aspect, retaining vocabulary learnt is also important. Such is essential since learning vocabulary does not mean knowing the definition only. Yet, learners must also be able to use the vocabulary as they engage in language skills such as reading, writing, speaking and listening. The study aims at finding the hindrances faced among poor students’ using contextual clues in retaining vocabulary. The study employed a case study to collect data from two basic students studying at a tertiary level. The study found that their hindrances in guessing meaning contexts were due to their being confused in guessing meaning when reading a sentence. Also, it was found that they were not able to find clues since they lacked vocabulary to guess correctly. The study implied that guessing meaning from context required sizeable vocabulary knowledge. Therefore, more training is necessary to assist basic learners in being successful in guessing from contexts.