Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing Recurrent Virtual Network Updates in Multi-Tenant Datacenters: A System Perspective

With the advent of software-defined networking, network configuration through programmable interfaces becomes practical, leading to various on-demand opportunities for network routing update in multi-tenant datacenters, where tenants have diverse requirements on network routings such as short latency, low path inflation, large bandwidth, high reliability, etc. Conventional solutions that rely on topology search coupled with an objective function to find desired routings have at least two shortcomings: ${\sf (i)}$(i) they run into scalability issues when handling consistent and frequent routing updates and ${\sf (ii)}$(ii) they restrict the flexibility and capability to satisfy various routing requirements. To address these issues, this paper proposes a novel search and optimization decoupled design, which not only saves considerable topology search costs via search result reuse, but also avoids possible sub-optimality in greedy routing search algorithms by making decisions based on the global view of all possible routings. We implement a prototype of our proposed system, OpReduce, and perform extensive evaluations to validate its design goals.
Effects of Elastic band Exercise Using Proprioceptive Neuromuscular Facilitation on strength and Dynamic Balance of Adults with Ankle Instability

The purpose of this study was to assess the effects of proprioceptive neuromuscular facilitation (PNF) withelastic band exercise on strength and dynamic balance in ankle instability. A total of 19 subjects with ankleinstability. Subjects were randomly divided into ST(Stretching group, n=10) and STPNF(Stretching withProprioceptive Neuromuscular Facilitation group, n=10). Two groups measured strength dynamic balance.The differences in ankle muscle strength and balance ability between pre- and post-intervention wereanalyzed using paired t-test and independent t-test. In the within-group pre-post comparison, STPNF showedsignificant increase in muscle strength at RPF30°, LPF30°, and RPF90°. In the between-groups comparison,significant difference in muscle strength was found at RPF30°, LPF30°, LDF30°, RDF90°, LPF90°, andLDF90° (p<0.05). In the within-group pre-post comparison of dynamic balance, STPNF showed significantincrease in leftward and rightward (p<0.05). In the between-groups comparison, significant difference inrightward balance was found (p<0.05). The results from this study indicated that PNF with elastic band haveimproved the strength and balance in ankle instability.
Joint Robust Beamforming and Power-Splitting Ratio Design in SWIPT-Based Cooperative NOMA Systems With CSI Uncertainty

This paper investigates the effect of imperfect channel state information on the performance of the cooperative non-orthogonal multiple access (NOMA) transmission scheme, in which the cell-center user acts as a decode-and-forward relay to assist the information transmission. The cell-center user adopts a simultaneous wireless information and power transfer (SWIPT) technique to harvest energy for information forwarding. Based on two channel error models, a maximization problem is formulated to jointly design the robust beamforming and the power splitting ratio while satisfying the minimum data rate for the far user and the successfully decoding requirement for the information of the far user at the near user. For the worst case design under the deterministic error model, the successive convex approximation and the semidefinite relaxation technique are utilized to approximate the non-convex problem to an iterative convex problem. For the outage-constrained design under the stochastic error model, Bernstein-type inequality-based and large deviation inequality-based approaches are used to safely approximate the probabilistic constraints of the inner-level problem to the deterministic constraints, and a golden section search algorithm is employed to find out the optimal single variable of the outer-level problem. Furthermore, the rank proof is provided to prove that the relaxation is tight.
Interfering ACE on comprehending embodied meaning in action-related Chinese counterfactual sentences

abstract The present study explores whether embodied meaning is activated in comprehension of action-related Mandarin counterfactual sentences. Participants listened to action-related Mandarin factual or counterfactual sentences describing transfer events (actions towards or away from the participant), and then performed verb-compatible or -incompatible motor action after a transfer verb (action towards or away from the participant) onset. The results demonstrated that motor simulation, specifically the interfering action-sentence compatibility effect (ACE), was obtained in both factual and counterfactual sentences. Additionally, the temporal course of motor resonance was slightly different between factual and counterfactual sentences. We concluded that embodied meaning was activated in action-related Chinese counterfactual sentences. The results supported a neural network model of Chersi, Thill, Ziemke, and Borghi (2010), proposed within the embodiment approach, which explains the interaction between processing action-related sentences and motor performance. Moreover, we speculated that the neural network model of Chersi et al. was also applicable to action-related Mandarin counterfactual comprehension.
Deep Learning for Vietnamese Sign Language Recognition in Video Sequence

440 doi: 10.18178/ijmlc.2019. 9.4. 823 Abstract—With most of Vietnamese hearing impaired individuals, Vietnamese Sign Language (VSL) is the only choice for communication. Thus, there are more and more study about the automatic translation of VSL to make a bridge between hearing impaired people and normal ones. However, automatic VSL recognition in video brings many challenges due to the orientation of camera, hand position and movement, inter hand relation, etc. In this paper, we present some feature extraction approaches for VSL recognition including spatial and scene-based features. Instead of relying on a static image, we specifically capture motion information between frames in a video sequence. For the recognition task, beside the traditional method of sign language recognition such as SVM, we additionally propose to use deep learning technique for VSL recognition for finding the dependence of each frame in video sequences. We collected two VSL datasets of the relative family topic (VSL-WRF) like father, mother, uncle, aunt. The first one includes 12 words in Vietnamese language which only have a little change between frames. While the second one contains 15 with gestures involving the relative position of the body parts and orientation of the motion. Moreover, the data augmentation technique is proposed to gain more information of hand movement and hand position. The experiments achieved the satisfactory results with accuracy of 88.5% (traditional SVM) and 95.83% (deep learning). It indicates that deep learning combining with data augmentation technique provides more information about the orientation or movement of hand, and it would be able to improve the performance of VSL recognition system.
Linguistic Shifts: A Relatively Effortless Route to Emotion Regulation?

Prior research indicates that psychological distance facilitates emotion regulation. Here, we propose that the ability to transcend one’s immersed perspective may be hidden in plain sight, within the very structure of language. We review evidence regarding two linguistic mechanisms, distanced self-talk and generic “you,” that promote emotion regulation by allowing speakers to shift from an immersed to a more distanced perspective through the words they use to reflect on the self (e.g., shifting from “I” to their own name or other non-first-person-singular pronouns). We conclude by suggesting that these linguistic shifts occur relatively seamlessly and thus may provide a less effortful route to emotion regulation.
The Need for Evidence-Based Practice in the Foster Care Field among Social Workers in Gulf Countries

The demand for Evidence-Based Practice "EBP" has been growing for a long-term and yet, there isn't a reply to this growth. Social Workers continue to rely on personal perspective, common sense, tradition when working with their clients in the foster care field as well as their personal beliefs in their assessment and intervention plans. Throughout a journey around the GCC countries to compare the adoption systems, and the social worker's work perspective in all the assessment stages, and tracing to intervention plans or treatment methods; it was noted that social workers still consume and revive an environment free of any evidence-based practices. In order to patch this glitch a sample of a practice sheet that consists of theoretical framework can be used as a temporary solution in order to provide an evidence-based practices in the foster care field.
Moral Reputation and the Psychology of Giving: Praise Judgments Track Personal Sacrifice Rather Than Social Good

Do we praise altruistic acts because they produce social benefits or because they require a personal sacrifice? On the one hand, utilitarianism demands that we maximize the social benefit of our actions, which could motivate altruistic acts. On the other hand, altruistic acts signal reputation precisely because personal sacrifice is a strong, costly signal. Consistent with the reputational account, these studies find that in the absence of reputational cues, people mainly rely on personal cost rather than social benefit when evaluating prosocial actors (Study 1). However, when reputation is known, personal cost acts as a much weaker signal and play a smaller role in moral evaluations (Study 2). We argue that these results have farreaching implications for the psychology and philosophy of altruism, as well as practical import for charitable giving, particularly the effective altruism movement.
Self-transcendent emotions and social media: Exploring the content and consumers of inspirational Facebook posts

Although a great deal of research has examined the potential negative effects of Facebook, studies also show that Facebook use can lead to various positive effects. This study builds on this positive effects scholarship: together, the two studies presented herein aim to provide an understanding of the inspirational content available on Facebook and the way social media users in the United States encounter, recall, and interact with this content. Results from the quantitative content analysis in Study 1 show that inspirational Facebook posts contain similar frequencies of hope and appreciation of beauty and excellent elicitors when compared with other forms of media and social media. Results from the national survey conducted in Study 2 show that social media users are most often inspired by portrayals of kindness and overcoming obstacles and that Facebook users did not report different sharing behavior as compared with users of other social media sites.
Face and Upper-Body Emotion Recognition Using Service Robot’s Eyes in a Domestic Environment

The population of the elderly/disabled people of the world is increasing rapidly. Taking care of these people has become a major issue since lack of professional caregivers or family members. Hence, the only feasible solution for this is using humanoid service robots. Available care-giving service robots lack the proper human emotion recognition. Hence, they cannot communicate with people as humans do. In addition, it is not preferable to people when robots are not androids. Therefore, this paper has proposed a method to recognize a face and upper-body emotions by using service robot’s eyes. The service robot’s eyes model is able to track a particular person in a domestic environment to mimic human eyes’ behavior while providing visual feed for the system to recognize emotions. Face emotional expressions and upper-body gestures are recognized by using supervised learning methods. Finally, the results show that the trained system recognizes the emotions effectively in the domestic environment for a particular person.
A systematic review of the antecedents of knowledge transfer: an actant­object view

Purpose: While numerous studies have studied Knowledge Transfer (KT) and endeavored to address factors influencing KT, little effort has been made to integrate the findings of prior studies. We aim to classify the literature on KT through a detailed exploration of different perspectives of KT inter and intra organizations. Design/methodology/approach: Using Actor Network Theory (ANT) as the baseline, we conducted a systematic review of KT research to summarize prior KT studies and classify the influential factors on KT. The review included 115 empirical articles published between 1987 and 2017. Findings: Drawing on our review and ANT guidelines, we proposed a conceptual model to categorize KT antecedents into objects including those related to 1) knowledge, 2) knowledge exchange and 3) technology, as well as actants including those related to 4) organization, 5) team/business unit and 6) knowledge sender/receiver. Research limitations/implications: Adopting a holistic synthesized approach based on ANT, this research puts forward a valid theoretical foundation on further understanding of KT and its antecedents. Indeed, this article investigates KT inter and intra organizations to recognize and locate the key antecedents of KT, which is of substantial applicability in today’s knowledge-driven economy. Practical implications: Our findings advance managers and practitioners’ understanding of the important role of actants and objects and their interplay in KT practices. Originality/value: While most studies have focused on one aspect of KT, this research contributes holistically to motivational, behavioral, technological and organizational aspects of KT. It also offers a thorough and context-free literature review on KT, which synthesizes the findings of prior studies on KT.
A Comprehensive Review of Computational Methods for Automatic Prediction of Schizophrenia With Insight Into Indigenous Populations

Psychiatrists rely on language and speech behavior as one of the main clues in psychiatric diagnosis. Descriptive psychopathology and phenomenology form the basis of a common language used by psychiatrists to describe abnormal mental states. This conventional technique of clinical observation informed early studies on disturbances of thought form, speech, and language observed in psychosis and schizophrenia. These findings resulted in language models that were used as tools in psychosis research that concerned itself with the links between formal thought disorder and language disturbances observed in schizophrenia. The end result was the development of clinical rating scales measuring severity of disturbances in speech, language, and thought form. However, these linguistic measures do not fully capture the richness of human discourse and are time-consuming and subjective when measured against psychometric rating scales. These linguistic measures have not considered the influence of culture on psychopathology. With recent advances in computational sciences, we have seen a re-emergence of novel research using computing methods to analyze free speech for improving prediction and diagnosis of psychosis. Current studies on automated speech analysis examining for semantic incoherence are carried out based on natural language processing and acoustic analysis, which, in some studies, have been combined with machine learning approaches for classification and prediction purposes.
A Case Study on the Implementation of Additional Daily Physical Activity beyond the State-Required Guidelines

The purpose of this qualitative case study was to provide an in-depth understanding of teachers’, principals’ and educational stakeholders’ viewpoints of students in 3rd, 4th and 5th grades pertaining to the incorporation of additional daily physical activity into the school day above the state-mandated 30 minutes in an elementary school in rural Western North Carolina. Research questions included: How does additional daily physical activity implemented in the school day influence student cognitive development? Why has additional daily physical activity time been incorporated into the school day? How does extended play benefit students beyond cognitive impact? Personal semi-constructed interviews with 11 teachers, principal of the school, and a focus group of educational stakeholders were conducted. Interviews were audio recorded and transcribed by the researcher to give detailed description of the cases. Upon review of the transcription of the interviews and focus groups, the researcher determined how each participant had experienced the implementation of additional daily physical activity into the school curriculum. Significant statements were established and assigned a code, allowing for condensation of data into broad themes. Physical artifacts were examined to provide insights into the principles and philosophies that provided direction to the school life and activities. This study found that physical activity provides brain breaks, addresses the whole child, promotes problem solving and provides opportunity for released energy.
Speech rate variation in English stop production and perception

The study examined how speech rate affects English speakers’ production and perception of word-initial stops. In line with previous studies, we found that English speakers produced long VOT for long-lag stops in slow speech and English listeners are also more likely to perceive short VOT stops as voiceless when they are embedded in fast speech than in slow speech. We then found that the speech rate effect in perception and production within an individual are closely linked—individuals who adjust their VOT boundary more in perception based on speech rate also produced a larger shift in production. The results raise future research questions about how the community-level production norm and the individual’s own production interact to shape one’s perception strategy.
A qualitative investigation of stress related to studying architecture at degree level in the UK

Architecture students have been reported to experience significant stress, yet little has been researched. This study aims to examine how architecture students experience and cope with stress. Twelve participants studying Architecture at bachelors and masters levels took part in individual interviews. Interviews were transcribed verbatim and analysed using thematic analysis. Three over-arching themes emerged: sources of stress in architecture studies, effects of stress and coping with stress. Participants reported of experiencing stress due to heavy and constant workloads, accepting the culture of working hard, subjective aesthetics, tutors and their critique. Stress experiences differed for year 1 and year 3 undergraduates. Students reported feelings of demotivation as a result. Many participants reported time management and making use of the supportive network of tutors and peers as coping strategies. Some participants acknowledged that things get better with time and the reward from producing a piece of work helped them to restore their motivation.
Sorting yourself out of the system: everyday processes of elusive social sorting in Australia’s disability social security regime for Indigenous Australians

Abstract The Disability Support Pension (DSP), the primary social security payment for Australians living with disability, has undergone considerable reform since the early 2000s. Limited research has examined the impact of such reforms on Aboriginal and Torres Strait Islander (Indigenous) Australians living with disability. This article pays particular attention to the experiences of Indigenous Australians applying for the DSP, with a strong focus on reforms since 2015 as these modifications have been arguably the most rigorous changes to the assessment process and eligibility criteria. The article illustrates the challenges that Indigenous Australians with disability experience in applying for the disability pension under the new process and the supports they require in submitting their application. The article draws on sociological theories of social sorting identified for the disability category by Grover and Piggott and examines the application and implications within the Australian context of such processes for Indigenous Australians living with disability.
An Examination Of Preservice Teachers' Use Of Learning Trajectories To Guide Instruction

In order for teachers to support students’ mathematical thinking, Battista (2004) believed they must identify core mathematical concepts, recognize conceptual frameworks for understanding children’s thinking, and use appropriate assessment tasks. In his view, learning trajectories provide teachers with information on children’s cognitive abilities as well as a structure for assessment. The present study investigated the ways in which preservice teachers used, and reflected on their use of, learning trajectories to assess, plan, and instruct during a one-on-one tutoring project focused on geometric shapes. In addition, preservice teachers were asked to reflect on the ways in which they might use learning trajectories during small-group and whole-group instruction. This study employed collective case study methodology as a qualitative research design methodology. The goal of the research was to understand how three preservice teachers interpreted their experience. Participants were preservice teachers seeking K-8 teaching certification with a minor in mathematics education. Throughout the twelve-week study, digital recordings of fieldwork and interviews were collected, along with journal entries, lesson plans, and fieldnotes. The data analysis strategy followed Stake’s (2006) methodology for collective case study analysis. Trustworthiness was accomplished through thick description, triangulation of data, and member checks. Supported by constructivist learning theory as the theoretical framework guiding the research, the study found that during the assessment phase, learning trajectories gave preservice teachers flexibility in identifying their students’ level of mathematical thinking. While planning, preservice teachers created lesson plans that encouraged active learning and were within their students’ zone of proximal development. And during instruction, learning trajectories were used as a tool for formative assessment. When asked to reflect on how learning trajectories might be used during small-group and whole-group instruction, preservice teachers surmised that learning trajectories could be used to create hetero-homogeneous groupings and used to ask questions that increase in sophistication, respectively.
Access to Therapy for Children with Autism: A Population-Based Analysis

ix Chapter 1: Introduction 1 Importance of the Problem 2 Needs of Children with ASD 2 Access to Medical and Therapy Services 3 Introduction to Andersen’s Behavioral Model of Access 7 Justification and Purpose of the Study 9 Purpose Statement, Research Questions, and Hypotheses 10 Significance of the Research 11 Summary 13 Chapter 2: Review of the Literature 14 Theoretical Basis for Understanding Access Problems in Children with ASD 14 Definition of Primary Constructs 17 Use of Therapy Services 17 Characteristics of the Individual 18 Contextual Characteristics Impacting Access 18