Miracle-dz/UniFAR-FTUs huggingface dataset:
A Specific Role of the Human Hippocampus in Recall of Temporal Sequences

There is a growing interest in how temporal order of episodic memories is represented within the medial temporal lobe (MTL). Animal studies suggest that the hippocampal formation (HF) is critical for retrieving the temporal order of past experiences. However, human imaging studies that have tested recency discrimination between pairs of previously encoded items have generally failed to report HF activation. We hypothesized that recalling a naturalistic sequence of past events would be particularly sensitive to HF function, attributable to greater involvement of associative processes. To test this prediction, we let subjects watch a novel movie and later, during functional magnetic resonance imaging, asked them to rearrange and “replay” scenes from the movie in correct order. To identify areas specifically involved in retrieval of temporal order, we used a control condition where subjects logically inferred the order of scenes from the same movie. Extensive MTL activation was observed during sequence recall. Activation within the right HF was specifically related to retrieval of temporal order and correlated positively with accuracy of sequence recall. Also, the bilateral parahippocampal cortex responded to retrieval of temporal order, but the activation here was not related to performance. Our study is the first to unequivocally demonstrate that correct sequence recall depends on HF.
The ML1Nx2 Phosphatidylinositol 3,5-Bisphosphate Probe Shows Poor Selectivity in Cells

Phosphatidylinositol (3,5)-bisphosphate (PtdIns(3,5)P 2) is a quantitatively minor phospholipid in eukaryotic cells that plays a fundamental role in regulating endocytic membrane traffic. Despite its clear importance for cellular function and organism physiology, mechanistic details of its biology have so far not been fully elucidated. In part, this is due to a lack of experimental tools that specifically probe for PtdIns(3,5)P 2 in cells to unambiguously identify its dynamics and site(s) of action. In this study, we have evaluated a recently reported PtdIns(3,5)P 2 biosensor, GFP-ML1Nx2, for its veracity as such a probe. We report that, in live cells, the localization of this biosensor to sub-cellular compartments is largely independent of PtdIns(3,5)P 2, as assessed after pharmacological, chemical genetic or genomic interventions that block the lipid’s synthesis. We therefore conclude that it is unwise to interpret the localization of ML1Nx2 as a true and unbiased biosensor for PtdIns(3,5)P 2.
Soft-Hard 3D FD-TD Solver for Non Destructive Evaluation

Modeling of physical phenomena often involves the use of complex sets of equations whose computational solution has demanding requirements in terms of memory and computing power. Finite-difference time-domain (FD-TD) method is a technique widely used nowadays in a variety of areas, such as antennas design, medical studies, circuit packaging and non destructive evaluation (NDE), having the advantage of a feasible hardware implementation of the algorithm that can significantly speedup the computations. In this paper we will focus on the thermal modeling of the soil for NDE. To this aim we projected a true 3D FD-TD model of the soil on an FPGA. Two different implementations of the system were made, one developed with VHDL and another one with Handel-C. A speed-up factor of 160 over a PC is achieved which shows the utility of such an implementation.
An open and integrated analog design and analysis framework

Abstract S A discussion is presented stating the require-ments for an open analog design framework. Currently,there is no framework that focuses on analog design. There-fore, we rst give an overview of a formalized design o w.Based on this o w, we propose a software architecture thatcan efciently implement the key components of the designtrajectory. Following this, an initial version of a frame-work implementing the above considerations is presented.Special attention is given to the user’s expectations w.r. t.transparency and reducing the overhead of his work. Anoverview is given of general modules (graphical output, op-timization algorithms, .) and more specic ones. Thislast category focuses on dedicated solutions for the designof particular analog sub-blocks. Finally, future extensionsare summarized. I. I NTRODUCTION While there are a number of different commercial EDA de-sign frameworks, they are mostly tailored to digital designer’sneeds. They are also rather big and can sometimes even be con-sidered ’overkill’for analog design due to their inclusion of var-ious digitalŒonly functionality. Specic tools for analog designare not included by default and the framework’s architecture isnot really open, making it difcult or sometimes impossible tointerface with the user’s own developed tools or scripts. There-fore, in section II, we will rst discuss the requirements foran open analog design framework. The necessary componentsthat are needed to support the trajectory for a generic designmethodology are shown. In section III, the implementation of aframework that uses the derived formalized design o w is pre-sented. Special attention is given to the user expectations. Ob-viously, the methodology should be as much as possible trans-parent to the user and be a minimal burden on top of his actualwork. An overview is given of general modules (graphical out-put, optimization algorithms, .) and more specic ones. Thislast category includes for instance the highŒlevel analysis anddesign module D
A fast and accurate parallel algorithm for genome mapping assembly aimed at massively parallel sequencers

Massively parallel sequencing technologies deliver thousands of short reads of a genome sample that are the building blocks for its computational reconstruction. Genome reconstruction algorithms are grouped in two broad classes, namely de novo assembly, and mapping (or assembly) to a reference genome. This paper introduces a parallel Fast and Accurate Mapping Assembly (FAMA) algorithm. The methods segments the reference genome with a variant of the divide and conquer technique introduced by Hirschberg in his algorithm for finding the longest common subsequence of two sequences, and maps the reads in the genome segments with the Smith-Waterman local alignment algorithm. Despite the divisions of the reference genome, the algorithm retains all the accuracy of Smith-Waterman while keeping all the characteristics of a massively parallel algorithm. Accuracy benchmarks shows that the algorithm is superior to one of the most popular assemblers used today.
Modeling and sensitivity analysis of reservation based usap hard scheduling unicast traffic in manets

In this paper, we develop and evaluate models to estimate and optimize various performance metrics for unicast traffic using the hard scheduling (virtual circuit connection-oriented) mode of the reservation based protocol USAP in mobile ad-hoc wireless networks (MANETs). USAP (Unifying Slot Assignment Protocol) is a dynamic distributed resource allocation protocol for MANETs. We model USAP hard scheduling mode using loss network models along with reduced link capacity that couple physical, MAC and routing layers effects. The key effect of multiuser interference on a link is modeled via reduced link capacity where the effects of transmissions and receptions in the link neighborhood are modeled using USAP reservation rules. We compare our results with simulation and obtain good results using our loss network models but with reduced link capacity distribution obtained by simulation. We also compute the throughput sensitivities with respect to network parameters and use these sensitivities to improve network performance.
Does the Online Environment Promote Plagiarism? A Comparative Study of Dissertations from Brick-and-Mortar versus Online Institutions

In recent years, there has been a concern that the Internet has been contributing to a growth in student plagiarism. This paper reports on a study aimed at investigating if there were differences between plagiarism levels in doctoral dissertations submitted by students enrolled at traditional, brick-and-mortar institutions and those by students attending online counterparts. A sample of 368 dissertations written between 2009 and 2013 (184 from traditional institutions and 184 from online institutions) were mined from an online database and uploaded to Turnitin for analysis. A Mann–Whitney U test was conducted on the similarity indices calculated by Turnitin. The test revealed no significant difference between the originality indices of dissertations from traditional institutions and those of dissertations from online institutions. Although dissertations from online institutions were slightly more likely to involve plagiarism, the traditional schools had more extreme cases of plagiarism. Thus, the notion that online education is more prone to plagiarism is not well supported. However, across both institution types, more than half of all dissertations contained some level of plagiarism. Suggestions for future research include a broader study as well as surveys of faculty and students concerning their understanding of plagiarism and how it could be circumvented.
Soft-LTE : A Software Radio Implementation of 3 GPP Long Term Evolution Based on Sora Platform

This demo shows an implementation of 3GPP LTE (Long Term Evolution) [2] Uplink, using Sora high performance software radio platform [5]. LTE is the state-of-the-art widearea wireless technology and employs many cutting-edge physical layer designs, including Turbo Coding, MIMO, SCFDMA and OFDMA [3, 4]. This demo shows a LTE Uplink implementation based on Release 8 3GPP 36 Series specifications in LTE-TDD (Time Division Duplex) system. Specifically, we implement the PUSCH (Physical Uplink Shared Channel) physical layer in single user environment, which provides a peak rate of 43.8Mbps with 20MHz channel band. The whole implementation contains around 5,000 lines of C code and runs in real-time in a commodity general purpose PC. This demo works as another example of the flexibility and capability of Sora as a high-speed software radio platform, beside the SoftWiFi implementation as described in [5]. By using multi-core CPUs, Sora allows all PHY and MAC of modern wireless system (e.g. WiFi and LTE) completely in software on commodity PC. As a result, it provides a convenient and effective environment for the implementation and experimental evaluation of various sophisticated wireless technologies.
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes

In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate student affective states and behaviour based on post-hoc analysis of tutor log-data. For every student action in the tutor, the detectors give us an estimated probability that the student is in a state of boredom, engaged concentration, confusion, or frustration, and estimates of the probability that the student is exhibiting off-task or gaming behaviours. We used data from the ASSISTments math tutoring system and found that boredom during problem solving is negatively correlated with performance, as expected; however, boredom is positively correlated with performance when exhibited during scaffolded tutoring. A similar pattern is unexpectedly seen for confusion. Engaged concentration and, surprisingly, frustration are both associated with positive learning outcomes. In a second analysis, we build a unified model that predicts student standardized examination scores from a combination of student affect, disengaged behaviour, and performance within the learning system. This model achieves high overall correlation to standardized exam score, showing that these types of features can effectively infer longer-term learning outcomes.
Ex Vivo Estimation of Photoacoustic Imaging for Detecting Thyroid Microcalcifications

Background The aim of this study was to evaluate the diagnostic utility of PAI at detecting thyroid microcalcifications at 700 nm laser wavelengths. Methods This study included 36 resected samples in 18 patients. To evaluate the PA manifestation of microcalcifications in PAI, gray level histogram and co-occurrence matrix (COM) texture parameters were extracted from the 3 fixed ROI US and PA images, respectively, per sample. We compared the textural parameters obtained from specimen PAIs between samples with punctate microcalcifications on specimen radiography and those without microcalcifications. Results On specimen US, the mean value (2748.4±862.5) of samples with microcalcifications on specimen radiography was higher than that (1961.9±780.2) of those without microcalcifications (P = 0.007). However, there were no significant differences in textural parameters obtained from specimen PAIs between samples with punctate microcalcifications on specimen radiography and those without when applying both the mean value of the three slices of thyroid specimens and the value of the thyroid specimen slice which had the highest value of the mean values in specimen US. Conclusion PAI did not show significant PA contrast on thyroid microcalcifications indicating that the experimental setup and protocols should be enhanced, e.g., method of complete blood rejection from ex vivo specimens, the multi-wavelength spectroscopic PA imaging method which can solely extract the PA signal from microcalcifications even with high spectral interferences, or PA imaging with narrower slice thickness using 2-dimensional array transducer, etc.
Effects of a single aerobic exercise session on body image

Background and Objectives Most research on the effects of exercise on body image has concentrated on the benefits of regular exercise. However, some research has indicated that exercise has an immediate impact on body image. The aims of this study were to investigate the immediate effects of aerobic exercise in a fitness class and the at-home environment on body image, and to examine the impact of nutritional status (i.e., normal weight vs. overweight/obesity) and exercise addiction on these changes. Method 322 Hungarian women participated in the study with two different environmental conditions, fitness class condition (N = 155) and at-home video condition (N = 167). They completed the Body Appreciation Scale and Exercise Addiction Inventory before and after a one-hour aerobic exercise session. Self-report data on weight, height and exercise frequency were also collected. Results There were no significant differences between the fitness class and video groups in terms of age, educational level, BMI, body.
Metrics for applying GOF design patterns in refactoring processes

This paper presents a kind of software design measures that help us to determine the application of Gang-Of-Four design patterns to refactoring processes. Refactoring using design patterns is one of the promising approaches to improve the designs during development activities, and a crucial issue is to identify when, where and which patterns could be applied. We analyzed several actual object-oriented designs of low quality needed to be refactored and focus on the characteristics of conditional statements of methods and inheritance structures, which seemed to cause the low quality. We provide 20 measures to objectively detect these characteristics in object-oriented designs. These measures express the complexity of branching execution in conditional statements and the strength of the dependency among the sub classes in the inheritance trees. Designers can be guided to recognize when, where and which design patterns should be used, in order to refactor their designs of low quality, by calculating these measures. We apply our approach to the low-quality design of the drawing editor that was produced by a novice designer and assess the effectiveness of our measures.
Karhunen-Loeve transform applied to region- based segmentation of color aerial images

The use of the Karhunen-Loeve transform (KLT) for region- based segmentation of aerial images by color and textural attributes is presented. Our aerial images are shown to be homogeneous color im- ages within the Karhunen-Loeve color representation space, which means they can be represented more easily and the region-based seg- mentation algorithms can be optimized. For texture analysis, the KLT is the basis of the local linear transform (LLT) and allows structural infor- mation about textures to be represented in an optimal and condensed manner. The LLT provides a system of textural analysis in the form of an adapted filter bank. We end the paper by presenting a method for merg- ing texture and color segmentations. © 2001 Society of Photo-Optical Instrumen- tation Engineers. (DOI: 10.1117/1.1385166) Subject terms: image processing; aerial color images; Karhunen-Loeve trans- form; region-based segmentation; textural analysis; local linear transform; coop- erative segmentation.
Assessing a 10-Year Experiment in Community Journalism Education

This study assesses the degree to which graduates of a 10-year-old master’s program in community journalism have been aiding the “process of community” by helping citizens negotiate community structures and processes, by listening to citizens, and by helping lead their communities. Findings from a survey of graduates and from a content analysis of graduates’ news stories reveal that graduates value all three of these community journalism dimensions, particularly listening to citizens. However, there is a gap between graduates’ aspirations on the one hand and the actual work produced and career paths on the other, consistent with harsh workplace realities.
Correlated firing among major ganglion cell types in primate retina

This paper examines the correlated firing among multiple ganglion cell types in the retina. For many years it has been known that ganglion cells exhibit a tendency to fire simultaneously more or less frequently than would be predicted by chance. However, the particular patterns of correlated activity in the primate retina have been unclear. Here we reveal systematic, distance‐dependent correlations between different ganglion cell types. For the most part, the patterns of activity are consistent with a model in which noise in cone photoreceptors propagates through common retinal circuitry, creating correlations among ganglion cell signals.
Asian mobile communication research: current status, enduring issues and future trends

ABSTRACT With a total of 2.5 billion subscribers, Asia’s leadership in worldwide mobile communication calls for a systematic review of the academic research on mobile communication in Asian countries. By reviewing 120 articles published in 18 top-ranking refereed journals from 1995 to 2015, this study identified a prominent increase in research output covering multiple subfields over the past 20 years, marked by accelerated growth beginning from 2005. This rise appears to be a product of global scholarship. Limitations in the current Asian mobile communication literature were also discussed, regarding the overemphasis on East Asian countries, the lack of a unified theoretical framework, and the reliance on one-shot research designs. Directions are provided for future research to refine the scholarly understanding of Asian mobile communication.
Multiple instruction sets architecture (MISA)

In the computer hardware industry, there are currently two highly successful instruction set architectures (ISAs): the CISC X86 ISA which is an established standard architecture in the personal computer and server markets, and the RISC ARM ISA which is currently used in many ultra-mobile computing devices, such as smart-phones and tablets. Platforms that run one standard ISA cannot run the other ISA application binaries without recompiling the source code. We are investigating the technical feasibility of designing an energy-efficient multiple instruction sets architecture (MISA) processor that can run both X86 and ARM binaries. We propose an approach in which special decoders interpret the binary instructions of the running ISA and translates them to a native target machine ISA that executes within the processor pipeline. We discuss the completed initial stage of our work involving the design of XAM, an X86 hardware binary interpreter for a MISA processor that runs native ARM instructions, and describe our design in detail. We present performance and energy simulation results of our MISA processor design for a set of synthetic benchmarks including Dhrystone 2.1, measured using the ARM SimpleScalar microarchitecture and power simulator. We also discuss design issues of an ARM to X86 hardware interpreter we are currently developing. We expect the completed X86-to-ARM design and the current ARM-to-X86 work to lay a foundation for designing a well optimized processor having a new native ISA that can run efficiently both X86 and ARM binaries, using direct hardware interpretation.
Homotopy methods based on l 0 norm for the compressed sensing problem

In this paper, two homotopy methods, which combine the advantage of the homotopy technique with the effectiveness of the iterative hard thresholding method, are presented for solving the compressed sensing problem. Under some mild assumptions, we prove that the limits of the sequences generated by the proposed homotopy methods are feasible solutions of the problem, and under some conditions they are local minimizers of the problem. The proposed methods overcome the difficulty of the iterative hard thresholding method on the choice of the regularization parameter by tracing solutions of the sparse problem along a homotopy path. Moreover, to improve the solution quality of the two methods, we modify them and give two empirical algorithms. Numerical experiments demonstrate the effectiveness of the two proposed algorithms in accurately and efficiently generating sparse solutions of the compressed sensing problem.
GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015

In this paper, we present the systems developed by GTMUVigo team for the query by example search on speech task (QUESST) at MediaEval 2015. The systems consist in a fusion of 11 dynamic time warping based systems that use phoneme posteriorgrams for speech representation; the primary system introduces a technique to select the most relevant phonetic units on each phoneme decoder, leading to an improvement of the search results.
Selecting a High-Quality Central Model for Sharing Architectural Knowledge

In the field of software architecture, there has been a paradigm shift from describing the outcome of architecting process to documenting architectural knowledge (AK), such as design decisions and rationale. To this end, a series of domain models have been proposed for defining the concepts and their relationships in the field of AK. To a large extent, the merit of this new paradigm is derived by sharing and reusing AK across organizations, especially in geographically distributed contexts. However, the employment of different AK domain models by different parties makes effective AK sharing challenging, as it needs to be mapped either from one domain model to another directly, or indirectly through a central model for simplicity when the number of AK models increases. The indirect mapping approach has proved to be a cost-effective way by sacrificing acceptable sharing quality compared with direct mapping approach. However, there exist no criteria for the selection of a high quality central model besides the intuitive judgment by domain experts. In this paper, we propose to tackle this issue by using the concept of semantic distance between AK models, which is calculated using rules based on the concept mapping relationships between the models. A high quality central model is therefore the one with the shortest semantic distance to all potential AK models.