Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-speed ADC sampling based high-resolution compressive channel estimation

Broadband channel is often characterized by a sparse multipath channel where dominant multipath taps are widely separated in time, thereby resulting in a large delay spread. Traditionally, accurate channel estimation is done by sampling received signal by analog-to-digital converter (ADC) at Nyquist rate (high-speed ADC sampling) and then estimate all channel taps with high-resolution. However, traditional linear estimation methods have two mainly disadvantages: 1) demand of the high-speed ADC sampling rate which already exceeds the capability of current ADC and also the high-speed ADC is very expensive for regular wireless communications; 2) neglect the inherent channel sparsity and the low spectral efficiency wireless communication is unavoidable. To solve these challenges, in this paper, we propose a high-resolution compressive channel estimation method by using low-speed ADC sampling. Our proposed method can achieve close performance comparing with traditional sparse channel estimation methods. At the same time, the proposed method has following advantages: 1) reduce communication cost by utilizing cheap low-speed ADC; 2) improve spectral efficiency by extracting potential training signal resource. Numerical simulations confirm our proposed method using low-speed ADC sampling.
How Long Will This Live? Discovering the Lifespans of Software Engineering Ideas

We all want to be associated with long lasting ideas; as originators, or at least, expositors. For a tyro researcher or a seasoned veteran, knowing how long an idea will remain interesting in the community is critical in choosing and pursuing research threads. In the physical sciences, the notion of half-life is often evoked to quantify decaying intensity. In this paper, we study a corpus of 19,000+ papers written by 21,000+ authors across 16 software engineering publication venues from 1975 to 2010, to empirically determine the half-life of software engineering research topics. In the absence of any consistent and well-accepted methodology for associating research topics to a publication, we have used natural language processing techniques to semi-automatically identify and associate a set of topics with a paper. We adapted measures of half-life already existing in the bibliometric context for our study, and also defined a new measure based on publication and citation counts. We find evidence that some of the identified research topics show a mean half-life of close to 15 years, and there are topics with sustaining interest in the community. We report the methodology of our study in this paper, as well as the implications and utility of our results.
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization

In this paper, we propose a new weakly supervised abstractive news summarization framework using pattern based approaches. Our system first generates meaningful patterns from sentences. Then, in order to precisely cluster patterns, we propose a novel semisupervised pattern learning algorithm that leverages a hand-crafted list of topic-relevant keywords, which are the only weakly supervised information used by our framework to generate aspect-oriented summarization. After that, our system generates new patterns by fusing existing patterns and selecting top ranked new patterns via the recurrent neural network language model. Finally, we introduce a new pattern based surface realization algorithm to generate abstractive summaries. Automatic and manual evaluations demonstrate the effectiveness and advantages of our new methods. Code is available at: https://github.com/jerryli1981
Tcl/Tk for a Personal Digital Assistant

This paper reports on the experience of providing Tcl/Tk for the ParcTab, a personal digital assistant built at Xerox PARC. The primary reason for supporting an extension language like Tcl/Tk for a PDA is to supply the same platform-independent infrastructure for user interface design and communication between the PDA and remote applications. The result was that Tcl/Tk enabled rapid prototyping and customization of applications for the Tab, most of which were extensions and interfaces to existing non-Tab applications. In addition, by using a platform-independent extension language, interfaces designed in Tcl/Tk for the Tab are able to be reused on other platforms that provide a Tcl/Tk implementation. The paper starts with a discussion of the decisions made during the process of porting Tk to the ParcTab, which were focused on maintaining the natural look and feel of the Tk widgets while exploiting the small area of the display as much as possible; then includes a description of some applications that were enabled by Tcl/Tk on the ParcTab; and nally, presents a summary of some tradeoos available to the application designer for personal digital assistants with small displays.
Regularized Linear Prediction of Speech

All-pole spectral envelope estimates based on linear prediction (LP) for speech signals often exhibit unnaturally sharp peaks, especially for high-pitch speakers. In this paper, regularization is used to penalize rapid changes in the spectral envelope, which improves the spectral envelope estimate. Based on extensive experimental evidence, we conclude that regularized linear prediction outperforms bandwidth-expanded linear prediction. The regularization approach gives lower spectral distortion on average, and fewer outliers, while maintaining a very low computational complexity.
Social TV: The impact of social awareness on content navigation within IPTV systems

Internet Television (IPTV) is emerging as a new delivery method for offering access to digital TV and interactive services which potentially merge the “lean back” broadcast experience with more bidirectional “lean forward” interactivity. Within these environments, there is a significant growth in the volume and variety of content being offered which increases the difficulty and burden for the end-user in locating relevant content and finding something to watch. In this article we detail the design, implementation, and evaluation of a production IPTV service which operates on our University campus network. Our approach makes use of social networks as a mechanism for providing social awareness to individual users of an IPTV system. The goal is to facilitate an intuitive and simple media selection mechanism when considering vast amounts of live TV channels and on-demand content. Ultimately, we seek to explore whether social awareness can or does influence user behavior.
Attachment Behaviours and Parent-Child Interaction

Autism is characterised by profound impairments in social interactions, coupled with communication and language difficulties. However evidence suggests that the formation of secure attachments is relatively unaffected. Attachment and parental sensitivity have both been strongly implemented in the social and cognitive development of typically developing children; however few studies extend this to children with autism. Likewise the dyadic construct of mutuality is theorised to directly link to language development, however to date has not been studied in children with autism. Objectives: To examine how attachment security, parental sensitivity and mutuality relate to verbal abilities in children with autism.Method: Baseline data from 27 children with autism (mean age = 46 months, SD = 7.83) participating in the Pre-school Autism Communication Trial (PACT, www.manchester.ac.uk/medicine/pact) was examined and compared with data from 24 typically-developing children (mean age = 23 months, SD = 6.50) group-matched on non-verbal ability. Both groups participated in a video-recorded free-play session with their parents. A ten minute sample of the play session was coded using a modified version of Coding of Attachment-Related Parenting. Attachment security was measured using the Brief Attachment Screening Questionnaire. Expressive and receptive language was measured using the Preschool Language Scales.Results:In the autism group attachment security was not associated with either expressive or receptive language level. Associations between expressive language, affect and sensitivity approached but failed to reach conventional significance. Mutuality was significantly associated with expressive language, and approached significance with receptive abilities.In controls mutuality was associated with receptive language abilitiesConclusionsAttachment and parental sensitivity did not relate to language abilities in children with autism. Mutuality however correlated with expressive abilities. Attachment security and parental sensitivity may not facilitate language development in autism, whereas mutuality maybe more representative of a dyadic relationship not captured by ratings of attachment and sensitivity.
Game-based programming towards developing algorithmic thinking skills in primary education

This paper presents cMinds, a learning intervention that deploys game-based visual programming towards building analytical, computational, and critical thinking skills in primary education. The proposed learning method exploits the structured nature of programming, which is inherently logical and transcends cultural barriers, towards inclusive learning that exposes learners to algorithmic thinking. A visual programming environment, entitled ‘cMinds Learning Suite’, has been developed aimed for classroom use. Feedback from the deployment of the learning methods and tools in classrooms in several European countries demonstrates elevated learner motivation for engaging in logical learning activities, fostering of creativity and an entrepreneurial spirit, and promotion of problem-solving capacity.
Variation in the categorization of motion events by Danish, German, Turkish, and L2 Danish speakers

This study examines the semantic categories in the motion domain by adult learners of Danish with typologically different L1s – Turkish and German, and compares their categorization patterns to that of Danish NSs. The participants described 39 video clips depicting a large variety of motion events. The results of the study showed that the meanings assigned by the two learner groups to the Danish motion verbs ga ‘walk’, lobe ‘run’ and kravle ‘crawl’ are influenced by the semantic categorization of their respective L1s. In addition, typological membership is found to play a role with respect to the processes involved in the restructuring of meaning/conceptual categories. These processes involve both conceptual transfer from the learners’ L1 to the L2 and conceptual convergence.
A Hierarchical Scheduling and Replication Strategy

Summary In data grids huge amount of data are generated and processed by users around the world. Objective of dynamic replica strategies is reducing file access time by reducing network traffic, which leads to reducing job runtime. In this paper a replication algorithm for a 3-level hierarchical structure and a scheduling algorithm are proposed. The simulation results with optorsim show better performance (over 13%) comparing to current algorithms.
A cognitive perspective on organisational knowledge strategy

article examines knowledge strategy from an empirical cognitive perspective, foregrounding strategic capability and collective intelligence as interrelated concepts. In more general terms, knowledge strategy is focused on a resource-based theory of the firm. This exploratory case study provides illustrative data using the cognitive perspective as a guide. Knowledge strategies were investigated in a chosen case that involved a firm engaged with the design and development of new products and technologies.
Complexity In Enterprise Architectures - Conceptualization And Introduction Of A Measure From A System Theoretic Perspective

Measurability is the essential basis for management. Although the management of complexity is a central task of CIOs and IT-architects, literature has not proposed a concrete measure to quantify complexity in enterprise architectures so far. Against this background the contribution of this paper is a) the introduction of a system theoretic conceptualization of complexity in enterprise architectures and b) a measure to quantify complexity in enterprise architectures. We define complexity as the number and the heterogeneity of the components and relations of an enterprise architecture. The proposed measure to quantify complexity in an enterprise architecture is based on Entropy, i.e. an established measure in various fields of research such as software engineering or economics. The applicability of the conceptualization and the proposed measure to quantify complexity is demonstrated in cooperation with IT-architects of an IT organization of a leading global universal bank.
Impaired Spatial Learning Strategies and Novel Object Recognition in Mice Haploinsufficient for the Dual Specificity Tyrosine-Regulated Kinase-1A (Dyrk1A)

Background Pathogenic aneuploidies involve the concept of dosage-sensitive genes leading to over- and underexpression phenotypes. Monosomy 21 in human leads to mental retardation and skeletal, immune and respiratory function disturbances. Most of the human condition corresponds to partial monosomies suggesting that critical haploinsufficient genes may be responsible for the phenotypes. The DYRK1A gene is localized on the human chromosome 21q22.2 region, and has been proposed to participate in monosomy 21 phenotypes. It encodes a dual-specificity kinase involved in neuronal development and in adult brain physiology, but its possible role as critical haploinsufficient gene in cognitive function has not been explored. Methodology/Principal Findings We used mice heterozygous for a Dyrk1A targeted mutation (Dyrk1A+/−) to investigate the implication of this gene in the cognitive phenotypes of monosomy 21. Performance of Dyrk1A+/− mice was assayed 1/ in a navigational task using the standard hippocampally related version of the Morris water maze, 2/ in a swimming test designed to reveal potential kinesthetic and stress-related behavioral differences between control and heterozygous mice under two levels of aversiveness (25°C and 17°C) and 3/ in a long-term novel object recognition task, sensitive to hippocampal damage. Dyrk1A+/− mice showed impairment in the development of spatial learning strategies in a hippocampally-dependent memory task, they were impaired in their novel object recognition ability and were more sensitive to aversive conditions in the swimming test than euploid control animals. Conclusions/Significance The present results are clear examples where removal of a single gene has a profound effect on phenotype and indicate that haploinsufficiency of DYRK1A might contribute to an impairment of cognitive functions and stress coping behavior in human monosomy 21.
A New Sutureless Illuminated Macular Buckle Designed for Myopic Macular Hole Retinal Detachment

Purpose. To report the anatomic and visual results of a new sutureless illuminated macular buckle designed for patients with macular hole retinal detachment related to high myopia (MMHRD). Design. Prospective nonrandomized comparative interventional trial. Methods. Twenty myopic eyes of 20 patients (mean age, 51.4 years; range, 35–65 years) presenting with MMHRD with a posterior staphyloma, in whom the new buckle was used, were evaluated. The buckle used was assembled from a 5 mm wide sponge and a 7 mm wide silicone tire; it was fixed utilizing the sterile topical adhesive Histoacryl Blue (B Braun, TS1050044FP) which polymerizes in seconds upon being exposed to water-containing substances. The primary outcomes measured included aided visual acuity (BCVA) and optical coherence tomography (OCT) findings. The mean follow-up period was 6 months. Results. Postoperatively, the MH closure was identified by OCT in 8 (40%) eyes. The mean BCVA increased from 0.11 to 0.21 (p < 0.005). The axial length of the eyes included decreased from 30.5 mm preoperatively to 29.8 mm (p = 0.002) postoperatively. Conclusion. Preparation of the new sutureless macular buckle is simple and easy. Illumination of the terminal part of the buckle ensures proper placement. Histoacryl Blue is effective in fixing the buckle in its place for at least 6 months with no reported intra- or postoperative complications.
Designing Risk Communication for Older Adults ∗

Older adults are more susceptible to fraud than younger adults offline. This may be true online as well. Older adults are also increasingly using the Internet for various activities, including managing their financial assets. Therefore, there is a need to develop risk communication technologies targeted towards older adults. These technologies should leverage mental models of end users to communicate risk in an accessible manner. Research in cognition suggests that risk communication using videos rather than text leads to improved comprehension and thus, better understanding of risks. We developed narrative-driven risk communication videos that address online fraud. These videos can be used for stand alone security education or as just-in-time decision aids. In this paper we present the design of such videos for phishing and malware. We also report results of a pilot study to measure the effectiveness of these videos. The study had twelve participants.
Text Summarization Model based on Redundancy-Constrained Knapsack Problem

In this paper we propose a novel text summarization model, the redundancy-constrained knapsack model. We add to the Knapsack problem a constraint to curb redundancy in the summary. We also propose a fast decoding method based on the Lagrange heuristic. Experiments based on ROUGE evaluations show that our proposals outperform a state-of-the-art text summarization model, the maximum coverage model, in finding the optimal solution. We also show that our decoding method quickly finds a good approximate solution comparable to the optimal solution of the maximum coverage model.
On the way to a cable free operating theater: An operating table with integrated multimodal monitoring

On the way to a cable free operating theater a new operating table is developed featuring into the table integrated sensors for patient monitoring, which do not necessarily need a direct contact to the naked skin, and a magnetic tracking system. The patient monitoring sensors are new multimodal sensors, which combine a capacitive electric field sensor with a reflective optical sensor and a temperature measurement. This multimodal measurement offers the opportunity of a reliable vital sign measurement by use of redundancy and plausibility checks. A novel artifact detection method for capacitive electrocardiogram measurements based on an optical measurement is presented. Together with an adaptive threshold based algorithm, intervals with artifacts can reliably be identified resulting in a robust estimation of heart rate.
On-Field Predictors of Neuropsychological and Symptom Deficit Following Sports-related Concussion

ObjectiveInvestigate the relationship between on-field markers of concussion severity and postinjury neuropsychological and symptom presentation in an athlete-specific population. DesignCase control study. SettingMulticenter analysis of high school and college athletes. ParticipantsA total of 78 athletes sustaining sports-related concussion were selected from a larger sample of 139 concussed athletes. Assessment of Predictor VariablesOn-field presence of disorientation, posttraumatic amnesia, retrograde amnesia, and loss of consciousness. Main Outcome MeasuresImPACT, a computerized neuropsychological test battery, was administered pre-season and, on average, 2 days postinjury. Good postinjury presentation (n = 44) was defined as no measurable change, relative to baseline, in terms of both ImPACT memory and symptom composite scores. Poor presentation (n = 34) was defined as a 10-point increase in symptom reporting and 10-point decrease in memory functioning (exceeding the 80% confidence interval for measurement error on ImPACT). Athletes failing to meet good or poor selection criteria (n = 61) were not included in the analysis. ResultsOdds ratios revealed that athletes demonstrating poor presentation at 2 days postinjury were over 10 times more likely (P < 0.001) to have exhibited retrograde amnesia following concussive injury when compared with athletes exhibiting good presentation. Similarly, athletes with poor presentation were over 4 times more likely (P < 0.013) to have exhibited posttraumatic amnesia and at least 5 minutes of mental status change. There were no differences between good and poor presentation groups in terms of on-field loss of consciousness. ConclusionsThe presence of amnesia, not loss of consciousness, appears predictive of symptom and neurocognitive deficits following concussion in athletes. Athletes presenting with on-field amnesia should undergo comprehensive and individualized assessment prior to returning to sport participation. Continued refinement of sports concussion grading scales is warranted in lieu of consistent findings that brief loss of consciousness is not predictive of concussion injury severity.
VALUE CONFLICT AND AMBIVALENCE IN PARTY IDENTIFICATION

Are some people more prone to instabilities in partisanship due to the ways they rank and organize their core values? We investigate the mechanisms of partisan volatility, considering whether instabilities reflect value-driven ambivalence in party identification. Our expectation is that when the basic values of the American ethos come into conflict in elite discourse, citizens become ambivalent about partisan beliefs when they cannot reconcile their own value arrangement with that of elites. To this end, we use several heteroskedastic regression and ordered probit models to explore whether the conflict of competing values explains the response variance and over time instability of individual level partisanship and ideology. To construct measures of value conflict, we rely on data from the 1992, 1994, and 1996 American National Election Studies. We find that while instabilities in partisan identification reflect low information for some, the competition of core values generates ambivalence in partisan affiliations for others. In deliberating the value tradeoffs of politics, people may end up conflicted even about central beliefs such as party identification.
Anti-Endometriotic Effects of Pueraria Flower Extract in Human Endometriotic Cells and Mice

Pueraria flowers have been used as a vegetable and an ingredient for tea and jelly. In this study, we investigated the effects of Pueraria flower extract (PFE) on endometriosis, a common gynaecological disease characterised by local sterile inflammation of peritoneal cavity. PFE suppressed the adhesion of human endometriotic cells 11Z and 12Z to human mesothelial Met5A cells. In addition, PFE significantly inhibited the migration of 11Z and 12Z cells as shown by wound-healing and transwell migration assays. PFE reduced the protein and mRNA levels of matrix metalloproteinase (MMP)-2 and MMP-9 in endometriotic cells. Moreover, extracellular signal-regulated kinase (ERK)1/2 was activated by PFE treatment, and an ERK1/2 inhibitor, PD98059, significantly inhibited PFE-inhibited cell migration in endometriotic cells. Furthermore, PFE significantly suppressed endometriotic lesion formation in a mouse model. These data suggest that Pueraria flower is a potential anti-endometriotic agent for the inhibition of endometriotic cell adhesion, migration, and MMP expression.