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Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that causes progressive autonomy loss and need for care. This does not only affect patients themselves, but also the patients’ informal caregivers (CGs) in their health, personal and professional lives. The big efforts of this multi-center study were not only to evaluate the caregivers' burden and to identify its predictors, but it also should provide a specific understanding of the needs of ALS patients' CGs and fill the gap of knowledge on their personal and work lives. Using standardized questionnaires, primary data from patients and their main informal CGs (n = 249) were collected. Patients' functional status and disease severity were evaluated using the Barthel Index, the revised Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS-R) and the King’s Stages for ALS. The caregivers' burden was recorded by the Zarit Burden Interview (ZBI). Comorbid anxiety and depression of caregivers were assessed by the Hospital Anxiety and Depression Scale. Additionally, the EuroQol Five Dimension Five Level Scale evaluated their health-related quality of life. The caregivers' burden was high (mean ZBI = 26/88, 0 = no burden, ≥24 = highly burdened) and correlated with patients' functional status (r\(_p\) = −0.555, p < 0.001, n = 242). It was influenced by the CGs' own mental health issues due to caregiving (+11.36, 95% CI [6.84; 15.87], p < 0.001), patients' wheelchair dependency (+9.30, 95% CI [5.94; 12.66], p < 0.001) and was interrelated with the CGs' depression (r\(_p\) = 0.627, p < 0.001, n = 234), anxiety (r\(_p\) = 0.550, p < 0.001, n = 234), and poorer physical condition (r\(_p\) = −0.362, p < 0.001, n = 237). Moreover, female CGs showed symptoms of anxiety more often, which also correlated with the patients' impairment in daily routine (r\(_s\) = −0.280, p < 0.001, n = 169). As increasing disease severity, along with decreasing autonomy, was the main predictor of caregiver burden and showed to create relevant (negative) implications on CGs' lives, patient care and supportive therapies should address this issue. Moreover, in order to preserve the mental and physical health of the CGs, new concepts of care have to focus on both, on not only patients but also their CGs and gender-associated specific issues. As caregiving in ALS also significantly influences the socioeconomic status by restrictions in CGs' work lives and income, and the main reported needs being lack of psychological support and a high bureaucracy, the situation of CGs needs more attention. Apart from their own multi-disciplinary medical and psychological care, more support in care and patient management issues is required.
Modern immersive multimodal technologies enable the learners to completely get immersed in various learning situations in a way that feels like experiencing an authentic learning environment. These environments also allow the collection of multimodal data, which can be used with artificial intelligence to further improve the immersion and learning outcomes. The use of artificial intelligence has been widely explored for the interpretation of multimodal data collected from multiple sensors, thus giving insights to support learners’ performance by providing personalised feedback. In this paper, we present a conceptual approach for creating immersive learning environments, integrated with multi-sensor setup to help learners improve their psychomotor skills in a remote setting.
Immersive, sensor-enabled technologies such as augmented and virtual reality expand the way human beings interact with computers significantly. While these technologies are widely explored in entertainment games, they also offer possibilities for educational use. However,their uptake in education is so far very limited. Within the ImTech4Ed project, we aim at systematically exploring the power of interdisciplinary, international hackathons as a novel method to create immersive educational game prototypes and as a means to transfer these innovative technical prototypes into educational use. To achieve this, we bring together game design and development, where immersive and interactive solutions are designed and developed; computer science, where the technological foundations for immersive technologies and for scalable architectures for these are created; and teacher education, where future teachers are educated. This article reports on the concept and design of these hackathons.
How to Model and Predict the Scalability of a Hardware-In-The-Loop Test Bench for Data Re-Injection?
(2023)
This paper describes a novel application of an empirical network calculus model based on measurements of a hardware-in-the-loop (HIL) test system. The aim is to predict the performance of a HIL test bench for open-loop re-injection in the context of scalability. HIL test benches are distributed computer systems including software, hardware, and networking devices. They are used to validate complex technical systems, but have not yet been system under study themselves. Our approach is to use measurements from the HIL system to create an empirical model for arrival and service curves. We predict the performance and design the previously unknown parameters of the HIL simulator with network calculus (NC), namely the buffer sizes and the minimum needed pre-buffer time for the playback buffer. We furthermore show, that it is possible to estimate the CPU load from arrival and service-curves based on the utilization theorem, and hence estimate the scalability of the HIL system in the context of the number of sensor streams.
Service orchestration requires enormous attention and is a struggle nowadays. Of course, virtualization provides a base level of abstraction for services to be deployable on a lot of infrastructures. With container virtualization, the trend to migrate applications to a micro-services level in order to be executable in Fog and Edge Computing environments increases manageability and maintenance efforts rapidly. Similarly, network virtualization adds effort to calibrate IP flows for Software-Defined Networks and eventually route it by means of Network Function Virtualization. Nevertheless, there are concepts like MAPE-K to support micro-service distribution in next-generation cloud and network environments. We want to explore, how a service distribution can be improved by adopting machine learning concepts for infrastructure or service changes. Therefore, we show how federated machine learning is integrated into a cloud-to-fog-continuum without burdening single nodes.
In time-sensitive networks (TSN) based on 802.1Qbv, i.e., the time-aware Shaper (TAS) protocol, precise transmission schedules and, paths are used to ensure end-to-end deterministic communication. Such resource reservations for data flows are usually established at the startup time of an application and remain untouched until the flow ends. There is no way to migrate existing flows easily to alternative paths without inducing additional delay or wasting resources. Therefore, some of the new flows cannot be embedded due to capacity limitations on certain links which leads to sub-optimal flow assignment. As future networks will need to support a large number of lowlatency flows, accommodating new flows at runtime and adapting existing flows accordingly becomes a challenging problem. In this extended abstract we summarize a previously published paper of us [1]. We combine software-defined networking (SDN), which provides better control of network flows, with TSN to be able to seamlessly migrate time-sensitive flows. For that, we formulate an optimization problem and propose different dynamic path configuration strategies under deterministic communication requirements. Our simulation results indicate that regularly reconfiguring the flow assignments can improve the latency of time-sensitive flows and can increase the number of flows embedded in the network around 4% in worst-case scenarios while still satisfying individual flow deadlines.
Teaching comprises all types of disciplines and teachers need to look outside the confines of English as a Second Language. The acquisition of knowledge comes in a variety of the learners’ educational potential. English as a Second Language in teaching and learning, focuses on active learner’s involvement and reduction of coercion. Indeed, Gibran’s thoughts remain true that “wisdom leads one to discuss his or her potentials. To realize this, teachers in all educational levels have to portray a less dominant classroom role in accord with the importance of classroom interaction in the teaching learning process.
N.A. Flaunders retorted that “in the average classroom someone is talking for two-thirds of the time, two-thirds of the task is direct influence.” What does this mean? Students’ participation or interaction in the classroom has a significant content to enhance their linguistic competence and its core basis is how to use the language as the most important factor in the classroom. Comprehending the information caters one to establish a fair and well-balanced condition that teachers are facilitators, and the learners are to stay in the frontline.
In today’s classroom setting, the adoption-adaption of teaching strategies focuses on the learners’ ability to have a strong command or fluency of the language. ESL is learned around the globe and the learners’ interests are the primary goals in the teaching and learning process. Colin Blakemore once said that “True knowledge, as Plato argues, must be within us all, and learning consists of solely of discussing what we already know.”
In an ESL classroom, discovery of knowledge is not a new game. Teachers do perform their tasks and the learners serve not as passive listeners but as active recipients in the transformation-sharing of all the five macro skills namely speaking, reading, writing, listening, and viewing. In fact, if commitment, knowledge of subject-matter for independent learning, and management of learning are packaged in one big box, both the teachers and the learners will operate a mutual process of generating a lively culture and quality of educational life.
With the aforementioned views I had experienced in teaching ESL, the teacher’s passion for teaching and attitude in dealing with the learners create a strong impact on the learners cognitive, affective, and psychomotor domains.
In the present chapter, an attempt has been made to discuss the need to create Zambian English to address English language variations in Zambia. No language in the world can remain the same after interacting with other languages. The present chapter intends to propose and support the idea of using ‘Zambian English’ for both formal and informal business. Such a measure would create the communicative competence that the majority of the Zambians have always longed for. In Zambia, the purpose of using English language office is to deliberate day to day’s business. On the contrary, this has been found to be an obstacle to those who lack principles of command in the language usage, but are able to construct sentences for communicative purposes yet are deprived in international interactions. The views expressed in this chapter are those of the language experts who were engaged in a conversation with regard to the possibility of creating what would be known as Zambian English (ZamEnglish).
Packets sent over a network can either get lost or reach their destination. Protocols like TCP try to solve this problem by resending the lost packets. However, retransmissions consume a lot of time and are cumbersome for the transmission of critical data. Multipath solutions are quite common to address this reliability issue and are available on almost every layer of the ISO/OSI model. We propose a solution based on a P4 network to duplicate packets in order to send them to their destination via multiple routes. The last network hop ensures that only a single copy of the traffic is further forwarded to its destination by adopting a concept similar to Bloom filters. Besides, if fast delivery is requested we provide a P4 prototype, which randomly forwards the packets over different transmission paths. For reproducibility, we implement our approach in a container-based network emulation system called Kathará.
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.
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.
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 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.
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.
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.
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.
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.
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.