Miracle-dz/UniFAR-FTUs huggingface dataset:
Software Profiling to Improve Network on Chip Performance

Network on chip (NoC) processors utilize network connections in place of traditional bus or cross bar interconnects in order to improve performance, power consumption, and scalability in modern multicore processors. However, superimposing a network onto a chip introduces additional factors, such as network latency, routing, and buffer depths all begin to affect the behavior of the system. Communication between processing elements becomes the bottleneck. Current scheduling and orchestration solutions address these issues, but leave room for improvement. In this paper, application profiling is proposed to increase the performance of a NoC’s scheduler; a custom simulator is created to validate this advanced scheduler.
A Combined Approach to Cartographic Displacement for Buildings Based on Skeleton and Improved Elastic Beam Algorithm

Scale reduction from source to target maps inevitably leads to conflicts of map symbols in cartography and geographic information systems (GIS). Displacement is one of the most important map generalization operators and it can be used to resolve the problems that arise from conflict among two or more map objects. In this paper, we propose a combined approach based on constraint Delaunay triangulation (CDT) skeleton and improved elastic beam algorithm for automated building displacement. In this approach, map data sets are first partitioned. Then the displacement operation is conducted in each partition as a cyclic and iterative process of conflict detection and resolution. In the iteration, the skeleton of the gap spaces is extracted using CDT. It then serves as an enhanced data model to detect conflicts and construct the proximity graph. Then, the proximity graph is adjusted using local grouping information. Under the action of forces derived from the detected conflicts, the proximity graph is deformed using the improved elastic beam algorithm. In this way, buildings are displaced to find an optimal compromise between related cartographic constraints. To validate this approach, two topographic map data sets (i.e., urban and suburban areas) were tested. The results were reasonable with respect to each constraint when the density of the map was not extremely high. In summary, the improvements include (1) an automated parameter-setting method for elastic beams, (2) explicit enforcement regarding the positional accuracy constraint, added by introducing drag forces, (3) preservation of local building groups through displacement over an adjusted proximity graph, and (4) an iterative strategy that is more likely to resolve the proximity conflicts than the one used in the existing elastic beam algorithm.
Moderate steepening of galaxy cluster dark matter profiles by baryonic pinching

To assess the effect of baryonic `pinching' of galaxy cluster dark matter (DM) haloes, cosmological (A cold dark matter) TREESPH simulations of the formation and evolution of two galaxy clusters have been performed, with and without baryons included. The simulations with baryons invoke star formation, chemical evolution with non-instantaneous recycling, metallicity-dependent radiative cooling, strong starburst-driven galactic superwinds and the effects of a meta-galactic ultraviolet field, including simplified radiative transfer. The two clusters have T similar or equal to 3 and 6 keV, respectively, and, at z similar to 0, both host a prominent, central cD galaxy. Comparing the simulations without and with baryons, it is found for the latter that the inner DM density profiles, r less than or similar to 50-100 kpc, steepen considerably: Delta alpha similar to 0.5-0.6, where -alpha is the logarithmic DM density gradient. This is primarily due to the central stellar cDs becoming very massive, as a consequence of the onset of late-time cooling flows and related star formation. Once these spurious cooling flows have been corrected for, and the cluster gravitational potentials dynamically adjusted, much smaller pinching effects are found: Delta alpha similar to 0.1. Including the effects of baryonic pinching, central slopes of alpha similar or equal to 1.0 and 1.2 are found for the DM in the two clusters, interestingly close to recent observational findings for galaxy cluster Abell 1703 based on strong gravitational lensing. For the simulations with baryons, the inner density profile of DM and cluster gas (intracluster medium) combined is found to be only very marginally steeper than that of the DM, Delta alpha less than or similar to 0.05. However, the total matter inner density profiles are found to be Delta alpha similar to 0.5 steeper than the inner profiles in the DM-only simulations.
Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

In this paper, we present Batch Informed Trees (BIT*), a planning algorithm based on unifying graph- and sampling-based planning techniques. By recognizing that a set of samples describes an implicit random geometric graph (RGG), we are able to combine the efficient ordered nature of graph-based techniques, such as A*, with the anytime scalability of sampling-based algorithms, such as Rapidly-exploring Random Trees (RRT). BIT* uses a heuristic to efficiently search a series of increasingly dense implicit RGGs while reusing previous information. It can be viewed as an extension of incremental graph-search techniques, such as Lifelong Planning A* (LPA*), to continuous problem domains as well as a generalization of existing sampling-based optimal planners. It is shown that it is probabilistically complete and asymptotically optimal. We demonstrate the utility of BIT* on simulated random worlds in R2 and R8 and manipulation problems on CMU's HERB, a 14-DOF two-armed robot. On these problems, BIT* finds better solutions faster than RRT, RRT*, Informed RRT*, and Fast Marching Trees (FMT*) with faster anytime convergence towards the optimum, especially in high dimensions.
Some results related to the Logvinenko-Sereda theorem

We prove several results related to the theorem of Logvinenko and Sereda on determining sets for functions with Fourier transforms supported in an interval. We obtain a polynomial instead of exponential bound in this theorem, and we extend it to the case of functions with Fourier transforms supported in the union of a bounded number of intervals. The same results hold in all dimensions.
SeeDev Binary Event Extraction using SVMs and a Rich Feature Set

This paper describes the system details and results of the participation of the team from the University of Melbourne in the SeeDev binary event extraction of BioNLP-Shared Task 2016. This task addresses the extraction of genetic and molecular mechanisms that regulate plant seed development from the natural language text of the published literature. In our submission, we developed a system 1 using a support vector machine classifier with linear kernel powered by a rich set of features. Our system achieved an F1-score of 36.4%.
Multilingualism in Sindh, Pakistan: the functions of code-switching used by educated, multilingual Sindhi women and the factors driving its use.

The present study explores the functions of code-switching and the factors which motivate speakers to use it in the context of informal conversations among educated, multilingual Sindhi women at four colleges in Hyderabad and Kotri, Pakistan. Following on from such scholars as Blom and Gumperz (1972), Gumperz (1982), Myers-Scotton (1993a), Poplack (1980), this study uses a qualitative methodology consisting of audio recordings of informal interactions, the questionnaires filled in by the participants, which reveal their demographic information and observation notes by the researcher during the audio recordings. The data is then analysed using an interpretive approach. The findings provide evidence that code-switching is employed as a language strategy to achieve particular social goals. Multilingual code-switching into Sindhi, Urdu and English and a few instances of Arabic and other local languages provide sufficient evidence of participants’ linguistic competence. The majority of participants use Sindhi as their L1 and English as their preferred language for code-switching. However, some participants who are Sindhi by ethnicity but acquired Urdu (their academic language) as their L1 predominantly use Urdu. The findings suggest that the participants use code switching to achieve particular social goals, such as to construct multiple identities, to express anger and humour, to discuss taboo issues and for specific textual functions such as recycling, self-repair, quotation, and idiomatic expressions. In the current study, the motivational extra-linguistic factors for the use of code-switching are historical-socio-economic factors, participants’ social networks, conversational topics, and the social status of their interlocutor(s). The intra-linguistic factors consist of speakers’ expression of their emotions and their linguistic competence. The most significant factor involved in the presence and absence of the use of codeswitching is the socioeconomic status of the participants. The results show the use of a huge number of English loanwords to fill lexical gaps which exist in Sindhi and Urdu. However, some instances of core borrowing (widespread borrowing in presence of equivalent in native language) from English are also used.
Who Drives Divergence? Identity-Signaling, Outgroup Dissimilarity, and the Abandonment of Cultural Tastes

People often diverge from members of other social groups: They select cultural tastes (e.g., possessions, attitudes, or behaviors) that distinguish them from outsiders and abandon tastes when outsiders adopt them. But while divergence is pervasive, most research on the propagation of culture is based on conformity. Consequently, it is less useful in explaining why people might abandon tastes when others adopt them. The 7 studies described in this article showed that people diverge to avoid signaling undesired identities. A field study, for example, found that undergraduates stopped wearing a particular wristband when members of the "geeky" academically focused dormitory next door started wearing them. Consistent with an identity-signaling perspective, the studies further showed that people often diverge from dissimilar outgroups to avoid the costs of misidentification. Implications for social influence, identity signaling, and the popularity and diffusion of culture are discussed.
TRBP and eIF6 Homologue in Marsupenaeus japonicus Play Crucial Roles in Antiviral Response

Plants and invertebrates can suppress viral infection through RNA silencing, mediated by RNA-induced silencing complex (RISC). Trans-activation response RNA-binding protein (TRBP), consisting of three double-stranded RNA-binding domains, is a component of the RISC. In our previous paper, a TRBP homologue in Fenneropenaeus chinensis (Fc-TRBP) was reported to directly bind to eukaryotic initiation factor 6 (Fc-eIF6). In this study, we further characterized the function of TRBP and the involvement of TRBP and eIF6 in antiviral RNA interference (RNAi) pathway of shrimp. The double-stranded RNA binding domains (dsRBDs) B and C of the TRBP from Marsupenaeus japonicus (Mj-TRBP) were found to mediate the interaction of TRBP and eIF6. Gel-shift assays revealed that the N-terminal of Mj-TRBP dsRBD strongly binds to double-stranded RNA (dsRNA) and that the homodimer of the TRBP mediated by the C-terminal dsRBD increases the affinity to dsRNA. RNAi against either Mj-TRBP or Mj-eIF6 impairs the dsRNA-induced sequence-specific RNAi pathway and facilitates the proliferation of white spot syndrome virus (WSSV). These results further proved the important roles of TRBP and eIF6 in the antiviral response of shrimp.
Scaling rules in the science system: Influence of field-specific citation characteristics on the impact of research groups

A representation of science as a citation density landscape is proposed and scaling rules with the field-specific citation density as a main topological property are investigated. The focus is on the size-dependence of several main bibliometric indicators for a large set of research groups while distinguishing between top-performance and lower-performance groups. It is demonstrated that this representation of the science system is particularly effective to understand the role and the interdependencies of the different bibliometric indicators and related topological properties of the landscape. © 2008 Wiley Periodicals, Inc.
Discovering Gravitational Lenses through Measurements of Their Time Delays

We consider the possibility that future wide-field time domain optical imaging surveys may be able to discover gravitationally lensed quasar pairs through serendipitous measurements of their time delays. We discuss the merits such a discovery technique would have relative to conventional lens searches. Using simulated quasar light curves, we demonstrate that in a survey that observes objects several times each lunar cycle over the course of five years it is possible, through the use of time delay selection, to significantly improve the efficiency of a gravitational lens search relative to that of an equivalent search that does not take advantage of time delay information. We show that window function effects associated with the length of the observing season are more important than the total number of data points in determining the effectiveness of this method. We also qualitatively discuss several complications that might be relevant to a real-time delay search.
Probabilistic and Single-Subject Retinotopic Maps Reveal the Topographic Organization of Face Patches in the Macaque Cortex

Face perception is crucial to survival among social primates. It has been suggested that a group of extrastriate cortical regions responding more strongly to faces than to nonface objects is critical for face processing in primates. It is generally assumed that these regions are not retinotopically organized, as with human face-processing areas, showing foveal bias but lacking any organization with respect to polar angle. Despite many electrophysiological studies targeting monkey face patches, the retinotopic organization of these patches remains largely unclear. We have examined the relationship between cortical face patches and the topographic organization of extrastriate cortex using biologically relevant, phase-encoded retinotopic mapping stimuli in macaques. Single-subject fMRI results indicated a gradual shift from highly retinotopic to no topographic organization from posterior to anterior face patches in inferotemporal cortex. We also constructed a probabilistic retinotopic atlas of occipital and ventral extrastriate visual cortex. By comparing this probabilistic map to the locations of face patches at the group level, we showed that a previously identified posterior lateral temporal face patch (PL) is located within the posterior inferotemporal dorsal (PITd) retinotopic area. Furthermore, we identified a novel face patch posterior PL, which is located in retinotopically organized transitional area V4 (V4t). Previously published coordinates of human PITd coincide with the group-level occipital face area (OFA), according to a probabilistic map derived from a large population, implying a potential correspondence between monkey PL/PITd and human OFA/PITd. Furthermore, the monkey middle lateral temporal face patch (ML) shows consistent foveal biases but no obvious polar-angle structure. In contrast, middle fundus temporal (MF), anterior temporal and prefrontal monkey face patches lacked topographic organization.
Modeling and Control of Single Switch Bridgeless SEPIC PFC Converter

Due to increasing concerns on the power quality, power factor correction (PFC) has become an important issue in light-emitting diode (LED) lighting applications. A boost converter is one of the most well-known PFC topologies, due to its simple circuitry, simple control scheme and small number of passive components. Even though a boost converter is recognized as a typical PFC converter, its output voltage must be higher than its input voltage. This feature is disadvantageous because the device requires an additional buck-stage for LED lighting systems. As an alternative to the boost converter, a single-ended primary-inductor converter (SEPIC) allows output voltage to be lower or higher than the input voltage. Thus, the SEPIC converter is gaining popularity as a LED driver because it does not require additional power conversion stage. However, designing a controller to meet stability requirements and international standards is quite challenging for SEPIC converters. Additionally, if the digital controller is adopted for its built-in communication features, creating a digitally controlled SEPIC converter would be even more challenging. This thesis focuses on the state-space averaging modeling of the SEPIC PFC converter and the design of controllers based on both analog and digital controls with precise modeling. The proposed SEPIC converter incorporates RC damping circuits to avoid the instability, and
The DEAD box protein eIF4A. 2. A cycle of nucleotide and RNA-dependent conformational changes.

Limited proteolysis experiments have been carried out with the DEAD box protein eIF4A. The results suggest that there is a substantial conformational change in eIF4A upon binding single-stranded RNA. Binding of ADP induces conformational changes in the free enzyme and the enzyme.RNA complex, and binding of the ATP analogue AMP-PNP induces a conformational change in the enzyme.RNA complex. The presence or absence of the gamma-phosphate on the bound nucleotide acts as a switch, presumably via the Walker motifs, that mediates changes in protein conformation and, as described in the preceding paper in this issue, also mediates changes in RNA affinity. Thus, these results suggest that there is a series of changes in conformation and substrate affinity throughout the ATP hydrolysis reaction cycle. A model is proposed in which eIF4A and the eIF4A-like domains of the DEAD box proteins act as ATP-driven conformational switches or motors that produce movements or structural rearrangements of attached protein domains or associated proteins. These movements could then be used to rearrange RNA structures or RNA.protein complexes.
PENGARUH KUALITAS, HARGA, DAN PENGALAMAN PELANGGAN TERHADAP LOYALITAS PELANGGAN PADA RUMAH MAKAN LEKO

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas, harga, dan pengalaman pelanggan pada Rumah Makan Leko Surabaya. Penelitian ini melibatkan 100 pelanggan yang paling sedikit dua kali melakukan pembelian di Warung Leko yang berlokasi di Surabaya. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan progam IBM SPSS statistic s. Alat analisis yang digunakan untuk mengukur pengaruh kualitas makanan, harga, dan pengalaman pelanggan terhadap loyalitas pelanggan adalah analisis regresi linear berganda. Hasil menunjukkan bahwa kualitas makanan, harga, dan pengalaman pelanggan berpengaruh terhadap loyalitas pelanggan dan variabel yang mempunyai pengaruh dominan terhadap loyalitas pelanggan di Warung Leko Surabaya adalah pengalaman pelanggan.
Intelligent Retrieval of Historical Meteorological Data

Large repositories of historical data about the natural world present novel opportunities to assist decision makers and problem solvers. Past cases or scenarios that are similar to a problem of current interest can often provide valuable insights or suggest solutions to the problem. We are constructing a case retrieval system that is intended to give meteorologists fast access to relevant past weather situations. The system is to serve as a “memory amplifier,” allowing users to rapidly locate historical situations of interest. In particular, forecasters should be able to use the system to quickly retrieve situations that are similar to the current one in meteorologically significant respects, providing them with an additional source of information to supplement the output of numerical models. The case retriever is part of MetVUW Workbench, a system for intelligent retrieval and display of historical meteorological data. In designing the MetVUW case retriever, we have addressed challenging problems in three areas: representation of spatial and temporal knowledge, case selection, and similarity assessment. We have also identified a number of lessons for the design of intelligent databases in natural resource domains.
The effect of instruction on the stereotypical expectations for learning-disabled children held by prospective teachers

The purpose of this investigation was to determine whether classroom instruction provided for prospective regular classroom teachers was effective in reducing the bias and expectancy effects associated with the label "learning-disabled. " Expectancies were established by the administration of a personality questionnaire and a behavior checklist. Sixty-eight subjects from randomly selected course sections were assigned to treatment and control groups. Treatment consisted of instruction designed to demonstrate to the subjects the effect of a reinforced label on their predictions of a videotaped child's performance. Treatment effects were measured by comparing subjects' ratings of a hypothetical learning-disabled child with control group ratings. Ratings of treatment and control groups were also compared one month after the treatment sessions.
(JOURNAL OF VETERINARY SCIENCE)

Tars ius is an endemic species in Indonesia that is threatened. Conservation of this species would yield better results if its genetic make up and diversity were determined. The objective of this research was to study the specific genetic marker on cyt b gene of Tars ius sp. Sequencing of PCR product using primer H 15149 on cyt b gene yielded base sequence of 276 bp (coding 92 amino acids). Multiple aligment was crried out using Genetyc-Win Version 3.0 and Clustal Wand analyzed using MEGA program Version 3.1. Fourteen different amino acid sites were found. Tarsius dianae had 12 amino acid sites (amino acid no. 2, 6, 9, 22, 23, 29, 39, 41, 42, 45, 55 and 85), T. spectrum had 7 amino acid sites (amino acid no. 2. 6, 9, 41, 45, 55 and 85) and T. bancanus had 2 amino acid sites (amino acid no. 23 and 45) which can be used as genetic marker. Five unique amino acids were found on T. dianae, such as amino acid site: 6 (valine), 22 (alanin), 29 (alanin), 39 (serin) and site 42 (valine). The genetic distance based on Kimura 2-parameter model ranged between 0,7% and 22,3%, with averaged of 13.1%. The phylogram using Neighbor Joining method based on the sequence of nucleotide and amino acid of cyt b reveded differentiation among Tarsius.