Miracle-dz/UniFAR-FTUs huggingface dataset:
A cloud-based healthcare infrastructure for medical device integration: The bilirubinometer case study

Medical devices, generally, have been unique units, so that a typical hospital room in an intensive care ward hosts a big number of stand-alone devices, each one with its own user interface. Nowadays, these devices have some connection mechanisms, but the goal is to go beyond the simple connectivity that permits only the reading of the measured value on a computer monitor, to move towards a more complex device integration that offers the possibility to stream device data directly into patient electronic records, to create a database for further statistical investigations and to integrate the information derived from multiple medical devices into a single display. In this paper, we propose a method to connect and integrate into a cloud-based infrastructure the bilirubinometer, which is a typical Neonatal Intensive Care Unit biomedical device that measures the amount of bilirubin in infants' blood, which is symptomatic of neonatal jaundice. After data extraction process from the instrument, the database is normalised according to a record format defined in XML language. Then, through Web Services of importation, data is transferred to the cloud database. It enables online sharing of encrypted healthcare data, reported in a standard language to allow a complete interoperability as well as a total security of shared data. Our proposed infrastructure allows the communication between different medical devices of a Neonatal Intensive Care Unit and permits the automation of the process of device data collection, transmission, storage, processing and availability for medical staff.
Collaborative cellular tail energy reduction: feasibility and fairness

While cellular interfaces are known to be main power consumers in smartphones, our measurements reveal that surprisingly, due to cellular tail effect, a substantial ratio of energy drain comes from the low-frequency, low-data-rate background traffic. To reduce cellular tail energy use, existing solutions either require changing application behavior or assume the availability of low-level control of cellular interface (e.g., fast dormancy). We propose a collaborative cellular tail energy reduction approach for background traffic, which opportunistically discovers neighbours using low-power Bluetooth radio and shares their cellular bandwidth. Our evaluation demonstrates up to 90% saving for background traffic energy consumption in urban settings. Furthermore, we define a rigorous fairness notion by adapting the generalized processor sharing concept. Our sharing scheduling algorithm uses this notion to achieve substantial energy saving while ensuring fairness for participating phones.
Modeling the Contested Relationship between Analects, Mencius, and Xunzi: Preliminary Evidence from a Machine-Learning Approach

This article presents preliminary findings from a multi-year, multi-disciplinary text analysis project using an ancient and medieval Chinese corpus of over five million characters in works that date from the earliest received texts to the Song dynasty. It describes “distant reading” methods in the humanities and the authors’ corpus; introduces topic-modeling procedures; answers questions about the authors’ data; discusses complementary relationships between machine learning and human expertise; explains topics represented in Analects, Mencius, and Xunzi that set each of those texts apart from the other two; and explains topics that intersect all three texts. The authors’ results confirm many scholarly opinions derived from close-reading methods, suggest a reappraisal of Xunzi ’s shared semantic content with Analects, and yield several actionable research questions for traditional scholarship. The aim of this article is to initiate a new conversation about implications of machine learning for the study of Asian texts.
Cosmic Evolution of Stellar Disk Truncations: From z ~ 1 to the Local Universe

We have conducted the largest systematic search so far for stellar disk truncations in disklike galaxies at intermediate redshift (z < 1.1), using the Great Observatories Origins Deep Survey-South (GOODS-S) data from the Hubble Space Telescope ACS. Focusing on type II galaxies (i.e., downbending profiles), we explore whether the position of the break in the rest-frame B-band radial surface brightness profile (a direct estimator of the extent of the disk where most of the massive star formation is taking place) evolves with time. The number of galaxies under analysis (238 of a total of 505) is an order of magnitude larger than in previous studies. For the first time, we probe the evolution of the break radius for a given stellar mass (a parameter well suited to address evolutionary studies). Our results suggest that, for a given stellar mass, the radial position of the break has increased with cosmic time by a factor of 1.3 ± 0.1 between z ∼ 1 and ~0. This is in agreement with a moderate inside-out growth of the disk galaxies in the last ~8 Gyr. In the same period of time, the surface brightness level in the rest-frame B band at which the break takes place has increased by 3.3 ± 0.2 mag arcsec−2 (a decrease in brightness by a factor of 20.9 ± 4.2). We have explored the distribution of the scale lengths of the disks in the region inside the break and how this parameter relates to the break radius. We also present results of the statistical analysis of profiles of artificial galaxies, to assess the reliability of our results.
Allelic polymorphism in the T cell receptor and its impact on immune responses

In comparison to human leukocyte antigen (HLA) polymorphism, the impact of allelic sequence variation within T cell receptor (TCR) loci is much less understood. Particular TCR loci have been associated with autoimmunity, but the molecular basis for this phenomenon is undefined. We examined the T cell response to an HLA-B*3501–restricted epitope (HPVGEADYFEY) from Epstein-Barr virus (EBV), which is frequently dominated by a TRBV9*01+ public TCR (TK3). However, the common allelic variant TRBV9*02, which differs by a single amino acid near the CDR2β loop (Gln55→His55), was never used in this response. The structure of the TK3 TCR, its allelic variant, and a nonnaturally occurring mutant (Gln55→Ala55) in complex with HLA-B*3501HPVGEADYFEY revealed that the Gln55→His55 polymorphism affected the charge complementarity at the TCR–peptide-MHC interface, resulting in reduced functional recognition of the cognate and naturally occurring variants of this EBV peptide. Thus, polymorphism in the TCR loci may contribute toward variability in immune responses and the outcome of infection.
Detection of Clone attacks in Wireless Sensor Networks Using RED ( Randomized , efficient , and distributed ) Protocol

–Wireless Sensor Networks (WSNs) are often deployed in hostile environments where an adversary can physically capturesome of the nodes, first can reprogram, and then, can replicate them in a large number of clones, easily taking control over thenetwork. A few distributed solutions to address this fundamental problem have been recently proposed. However, these solutions arenot satisfactory. First, they are energy and memory demanding: A serious drawback for any protocol to be used in the WSN-resource-constrainedenvironment. Further, they are vulnerable to the specific adversary models introduced in this paper. The contributions ofthis work are threefold. First, we analyze the desirable properties of a distributed mechanism for the detection of node replicationattacks. Second, we show that the known solutions for this problem do not completely meet our requirements. Third, we propose a newself-healing, Randomized, Efficient, and Distributed (RED) protocol for the detection of node replication attacks, and we show that itsatisfies the introduced requirements. Finally, extensive simulations show that our protocol is highly efficient in communication,memory, and computation; is much more effective than competing solutions in the literature; and is resistant to the new kind of attacksintroduced in this paper, while other solutions are not.
Burrowing and becoming: teaching writing in uncertain times

ABSTRACT What happens when teachers perceive a growing rift between their pedagogical practice and their students’ lived experiences? How do teachers respond to the uncertainty that such a “relevance gap” can create? In a climate in which literacy research is often pressed to address the achievement gap and to contribute to a sense of certainty, this study explored the relevance gap experienced by teachers in their teaching of writing and the ways that teaching with uncertainty contributed to their practice. Situated in theories of curriculum as currere, local knowledge of practice, and pedagogy as assemblage, the article focuses on the theory and practice of four educators who teach writing in very different and diverse contexts. The rhizo-textual analysis of the data inspired a process of making assemblages to explore context, positionality, and power in teachers’ identities as writers and teachers of writing. Two such assemblages are described, one exploring struggle and the other possibility. In the struggles and uncertainties they experienced, each teacher found new possibilities in different places: in the land, in slam poetry, in story, and in film. Our mappings and analyses suggest that teachers can create new pedagogies of becoming for them and their students by burrowing into uncertainty, process, and social critique.
An automatic identification tracking system applied to motion analysis of industrial field

With the popularization of industrial automation, the efficiency requirement of manual work has been increased significantly. Motion analysis is a very good method to improve operational efficiency. However, because of its fixed observation equipment and narrow scope of view, the motion situation can't be recorded comprehensively and accurately. This paper presents an automatic identification tracking system based on machine vision which is applied to motion analysis of industrial field. By controlling the rotation of steering head, the operator could be tracked automatically and real-time tracking records of operator can be achieved. The system adopts the target recognition algorithm based on symmetric difference and tracking algorithm based on centroid-tracking. In the laboratory, we designed and finally achieved the prototype system based on Mathematica, as software development platform and Arduino, as hardware development platform.
A diary study of children's user experience with EBooks using flow theory as framework

This paper describes a diary study aimed at evaluating the User Experience (UX) of 7 to 12 years old children when interacting with eBooks. The goal was to understand whether, in a context of leisure reading, enhanced eBooks provide a better reading experience than basic eBooks. We took inspiration from Csikszentmihalyi's Flow theory to define a benchmark for evaluating the reading experience, and then by means of the Experience Sampling Method (ESM) and an adapted version of the Flow Short Scale (FKS) we investigated and collected data on the reading experience of two groups of children: one group read an enhanced eBook while the other read a basic version of the same eBook. Following a mixedmethod approach, with quantitative analysis we verified whether participants who read the enhanced eBook had a better reading experience, while with qualitative analysis we tried to understand why. The results showed that interactive and multimedia enrichments (readaloud narration in particular) had a positive effect on children's experience with the enhanced eBook.
Dielectric breakdown in a simplified parallel model

The growth of streamer trees in insulating fluids (a submicrosecond process that triggers high-voltage breakdown) has been simulated with a combination of parallel-coding tools. Large grids and arrays display well the multifractal, self-avoiding character of the streamer trees. Three physical cases have been approximated by different power-law weightings of the statistical growth filter: dense anode trees, in the uniform field; sparse cathode trees (a rarer experimental case); and ultrasparse anode trees (seen in some fluids of higher viscosity). The model is contained in a software package that is written in Fortran 90 with data parallel extensions for distributed execution. These extensions encapsulate an underlying, invisible message-passing environment, thus enabling the solution of memory-intensive problems on a group of limited-memory processors. Block partitioning creates processes of reasonable size, which operate in parallel like small copies of the original code. The user needs only to express his model in transparent array-directed commands; parallel interfacing between blocks is handled invisibly. Breakdown is performed in parallel in each of the local blocks. Results are presented for experiments run on eight and nine nodes of the IBM SP2, and four and eight nodes of the SGI Onyx and Origin, three examples of multiple-processor machines. Display is carried out in three dimensions. Timing of the growth can be shown by color banding or by frame animation of the results. The adequacy of the growth rules and size scaling are tested by comparing the simulations against snapshots from high-voltage discharge events.
Shear wave structure in the northeastern Tibetan Plateau from Rayleigh wave tomography

The northeastern Tibetan Plateau has undergone active shortening due to the India‐Asia collision and has been an ideal place for studying the growth of the plateau. To reveal deep structure that is responsible for geological observations in NE Tibet, we have constructed a 3‐D shear wave velocity model from Rayleigh waves recorded by 36 stations in the Northeast Tibetan Plateau Seismic experiment. First, the two‐plane‐wave tomography method was applied to compute the average and 2‐D variations of phase velocities in a period range of 20 to 100 s. Then 1‐D and 3‐D shear wave velocity models were developed from the obtained Rayleigh wave dispersions. The entire region is characterized by a weak upper mantle with a relatively thin lithosphere of ~80–100 km thick. This observation helps to explain the active deformation at the Kunlun Mountains and the Qinling Orogen in NE Tibet. Relative low velocity anomalies appear along and to the south of the Kunlun fault (KF) in contrast to high velocity anomalies in the north and northeast. One pronounced slow anomaly centered at ~120 km depth is imaged right beneath the restraining bend of the Kunlun fault, which might be a northern extension of the large‐scale slow anomaly to the south of the fault. We interpret it as a local feature due to its large magnitude and coincidence with the restraining bend. It is probably related to anomalously high temperature and associated partial melting resulted from localized asthenosphere upwelling after the delamination of a thick lithosphere root. The formation of the thick lithosphere root would require coherent shortening in the crust and mantle lithosphere caused by local compression due to the bend of the strike‐slip fault, indicating that the Kunlun fault is probably on lithosphere scale and has played an important role in accommodating the eastward extrusion of the Tibetan Plateau.
CD28-mediated costimulation of interleukin 2 (IL-2) production plays a critical role in T cell priming for IL-4 and interferon gamma production

Naive T cells require interleukin 4 (IL-4) to develop into IL-4- producing T cells and IL-4 blocks development of such cells into interferon gamma (IFN-gamma) producers. Prior studies in accessory cell- independent priming systems using antireceptor antibodies as agonists have demonstrated that IL-2 is also necessary for the development of IL- 4-producing cells under these culture conditions. Here we have examined the role of IL-2 and the CD28 costimulation pathway in priming for IL-4 and IFN-gamma production using a more physiologic model. This involved antigen presentation by accessory cells to naive CD4+ T cells from transgenic mice whose cells express a T cell receptor (TCR) specific for a cytochrome c peptide in association with I-Ek. With splenic antigen-presenting cells (APCs), inhibition of CD28 costimulation by the fusion protein CTLA4-immunoglobulin (Ig) blocked effective priming. Similarly, transfected fibroblasts expressing both MHC class II and the CD28 ligand B7 could prime for IL-4 production and such priming also was blocked by CTLA4-Ig. However, APCs deficient in CD28 ligands also could prime TCR transgenic T cells to become IL-4 producers if an exogenous source of IL-2, as well as IL-4, was provided, and the inhibition of priming seen with splenic or transfected fibroblast APCs in the presence of CTLA4-Ig could be reversed by addition of IL-2. Likewise, priming for IFN-gamma production could be blocked by CTLA4-Ig and reversed by IL-2. Thus, we conclude that IL-2 plays a critical role in priming naive CD4+ T cells to become IL-4 or IFN-gamma producers. Engagement of the CD28 pathway, although normally important in such priming, is unnecessary in the presence of exogenous IL-2.
Untangling academic publishing: a history of the relationship between commercial interests, academic prestige and the circulation of research

Since the Second World War, academic publishing practices have had to cope with enormous changes in the scale of the research enterprise, in the culture and management of higher education, and in the ecosystem of scholarly publishers. The pace of change has been particularly rapid in the last twenty-five years, thanks to digital technologies. This has also been a time of growing divergence between the different roles of academic publishing: as a means of disseminating validated knowledge, as a form of symbolic capital for academic career progression, and as a profitable business enterprise. This briefing paper aims to provide a historical perspective that can inform the debates about what the future of academic publishing should look like. We argue that current policy regarding open access publishing, and many of the other proposals for the reform of academic publishing, have been too focused on the opportunities and financial challenges of the most recent changes in digital communications technologies and have given undue weight to commercial concerns. We show that the business practices and the cultural significance of academic publishing have been significantly transformed since the late nineteenth century as increasing government funding drove the expansion and professionalization of the research community, a process that accelerated rapidly after the Second World War. We examine how academic publishing practices have responded to the increasing number of researchers and publications worldwide, the changing expectations of academic workloads and outputs in the higher education sector, and the new business models in the publishing industry. A key phenomenon has been the growing importance of published works as career-defining tokens of prestige for academics. Although the new technologies that emerged in the late twentieth century offer great potential for improving the speed and efficiency of scholarly communication, the publishing model has been relatively slow to change.
Chaos computing: implementation of fundamental logical gates by chaotic elements

Basic principles of implementing the most fundamental computing functions by chaotic elements are described. They provide a theoretical foundation of computer architecture based on a totally new principle other than silicon chips. The fundamental functions are: the logical AND, OR, NOT, XOR, and NAND operations (gates) and bit-by-bit arithmetic operations. Each of the logical operations is realized by employing a single chaotic element. Computer memory can be constructed by combining logical gates. With these fundamental ingredients in hand, it is conceivable to build a simple, fast, yet cost effective, general-purpose computing device. Chaos computing may also lead to dynamic architecture, where the hardware design itself evolves during the course of computation. The basic ideas are explained by employing a one-dimensional model, specifically the logistic map.
Diary Study of Tertiary Teachers' Emotions

The purpose of this diary study was to investigate the emotions experienced by tertiary teachers in their teaching co' ntexts. Fifteeil tertiary teachers from four tertiary institutions in New Zealand (one university, one polytechnic, and two private tertiary providers) completed emotion diaries based an Oatley and Duncan's (1992) format, over five days. The number of emotions recorded ranged from one to four per day. Happiness and satisfaction were the two most frequently recorded positive emotions; anger and disappointment the most frequent negative emotions. Tension was the mostfrequently recorded bodily effect similar to Oatley and Duncan's (1992) findings. Examples of tertiary teachers' positive emotional engagement with their teaching and their students were evident, as also were examples of emotional labour investment. Overall the results were comparable to findings reported elsewhere on the emotions of teachers in middle and secondary schools, suggesting a universality of emotions in teaching irrespective of teaching level and previous career experience. This diary study was one part of a multi-method study. Future research directions are discussed.
Protocol architecture analysis for Internet connectivity in aeronautical ad hoc networks

Ad hoc networks have recently been proposed as a means of providing in-flight Internet access to airline passengers flying in remote or oceanic regions. In this paper, we consider three different protocol architecture candidates based on IPv6 for providing Internet connectivity to the passengers. We provide a qualitative analysis and discuss their respective drawbacks and advantages in the aeronautical environment.
Nonrecurrent Neural Structure for Long-Term Dependence

In this paper, we propose a novel neural network structure, namely feedforward sequential memory networks (FSMN), to model long-term dependence in time series without using recurrent feedback. The proposed FSMN is a standard fully connected feedforward neural network equipped with some learnable memory blocks in its hidden layers. The memory blocks use a tapped-delay line structure to encode the long context information into a fixed-size representation as short-term memory mechanism which are somehow similar to the time-delay neural networks layers. We have evaluated the FSMNs in several standard benchmark tasks, including speech recognition and language modeling. Experimental results have shown that FSMNs outperform the conventional recurrent neural networks (RNN) while can be learned much more reliably and faster in modeling sequential signals like speech or language. Moreover, we also propose a compact feedforward sequential memory networks (cFSMN) by combining FSMN with low-rank matrix factorization and make a slight modification to the encoding method used in FSMNs in order to further simplify the network architecture. On the speech recognition Switchboard task, the proposed cFSMN structures can reduce the model size by 60% and speed up the learning by more than seven times while the model can still significantly outperform the popular bidirectional LSTMs for both frame-level cross-entropy criterion-based training and MMI-based sequence training.