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France, Italy, and Spain are three Romance-speaking countries which – at least in Europe – have been affected to a very high degree by the consequences of the Corona pandemic. This paper examines discursive strategies on social media (Twitter and Facebook) by the three heads of government/state of the aforementioned countries – namely Emmanuel Macron (France), Giuseppe Conte (Italy), and Pedro Sánchez (Spain)- from a corpuslinguistic point of view. For this purpose, a corpus was created which contains all Twitter and Facebook messages posted by these heads of government/state from the beginning of February until the end of April 2020. By applying corpus-linguistic methods we find that all three politicians consciously use social media to sensitize, inform, and – in view of a dramatic pandemic situation – unite their respective populations behind them.
English language is being taught as a second foreign language in India. For most of the learners in India, English still a foreign language or target language. The study of this language is important to fulfill different kinds of academic and professional requirements. Still, there is a big gulf between demand and supply for which the failure of the system is largely responsible as its main emphasis on to adherence to the foreign curriculum. The government tries to impose this curriculum on English teachers, but, in fact, the curriculum is outdated.
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.
Immersive virtual environments provide users with the opportunity to escape from the real world, but scripted dialogues can disrupt the presence within the world the user is trying to escape within. Both Non-Playable Character (NPC) to Player and NPC to NPC dialogue can be non-natural and the reliance on responding with pre-defined dialogue does not always meet the players emotional expectations or provide responses appropriate to the given context or world states. This paper investigates the application of Artificial Intelligence (AI) and Natural Language Processing to generate dynamic human-like responses within a themed virtual world. Each thematic has been analysed against humangenerated responses for the same seed and demonstrates invariance of rating across a range of model sizes, but shows an effect of theme and the size of the corpus used for fine-tuning the context for the game world.
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.
Utilizing multiple access networks such as 5G, 4G, and Wi-Fi simultaneously can lead to increased robustness, resiliency, and capacity for mobile users. However, transparently implementing packet distribution over multiple paths within the core of the network faces multiple challenges including scalability to a large number of customers, low latency, and high-capacity packet processing requirements. In this paper, we offload congestion-aware multipath packet scheduling to a smartNIC. However, such hardware acceleration faces multiple challenges due to programming language and platform limitations. We implement different multipath schedulers in P4 with different complexity in order to cope with dynamically changing path capacities. Using testbed measurements, we show that our CMon scheduler, which monitors path congestion in the data plane and dynamically adjusts scheduling weights for the different paths based on path state information, can process more than 3.5 Mpps packets 25 μs latency.
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.
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.
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.
In this work, Emilio de’ Cavalieri’s musical sources will serve as a platform in an attempt to overcome the lack of explicit original guidance and guidelines of performance practice of early basso continuo. It will offer a methodology that will allow the unraveling of implicit theory and practice hidden in the music sources themselves. The methodology of this work is based on the fact that Cavalieri’s Rappresentatione di Anima e di Corpo (Rome, 1600) is printed using a unique continuo notation, which is detailed, precise, and coherent—more so than any other contemporaneous printed source. Through thorough investigation of this continuo notation, it will be possible to enrich our practical as well as theoretical knowledge of the early basso continuo. A wide range of evidences will emerge, covering a wide spectrum, from general questions of instrumentation up to the very notes that should be played. Using a special notation for illustration, I will demonstrate how Cavalieri’s basso continuo figuration, when combined with the known rules of counterpoint, is at times equivalent to written-out realizations.
As part of this study, different models of contrapuntal phenomena will be analyzed, mainly in the context of cadences but also in the context of other progressions that deserve to be recognized as formulas. Their theoretical structure will be uncovered as well as their actual application in music and their manner of execution. The prevalence of each phenomenon will be examined in order to distinguish common and recurrent phenomena from rarely-used formulas. In order to do this, and due to problematic historical terminology, it will be necessary to create a set of new terms inspired by Cavalieri’s notation. Those terms will not be solely relevant to Cavalieri’s music; the models were made flexible so that they may prove useful for future discussions or studies of early continuo in general.
Out of the known early basso continuo sources, a “mini-compendium” of practical implications will be extracted in order to exhaust the practical knowledge implicit in them. This endeavor will be concluded with a list of rules and general advice drawn from the sources, but it will also reveal some problematic aspects of these sources.
This endeavor will make it possible to compare the “new” implicit practical information deduced in this study with the explicit known continuo sources, and assess to what extant Cavalieri’s continuo practices illuminate and complement the known knowledge from previously-studied yet opaque sources of basso continuo.
The focus of this dissertation is on Cavalieri’s music, but the findings proposed here will be traced so as to illuminate the broader realm of the early Baroque and the 17th century musical style at large. Finally, this new research about Cavalieri’s music and continuo, along reevaluating of its place among the common continuo sources, calls for redistribution of source materials on the traditional “shelf” of early basso continuo sources.